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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ✅Fiber Section Visualization"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "tags": []
   },
   "source": [
    "classes :py:class:`~opstool.vis.GetFEMdata` and :py:func:`~opstool.vis.plot_fiber_sec`, :py:class:`~opstool.vis.FiberSecVis` are needed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:32:59.825940Z",
     "iopub.status.busy": "2023-05-06T12:32:59.825940Z",
     "iopub.status.idle": "2023-05-06T12:33:00.638665Z",
     "shell.execute_reply": "2023-05-06T12:33:00.638665Z",
     "shell.execute_reply.started": "2023-05-06T12:32:59.825940Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import openseespy.opensees as ops\n",
    "import opstool as opst"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-30T10:43:01.065831Z",
     "iopub.status.busy": "2023-03-30T10:43:01.065831Z",
     "iopub.status.idle": "2023-03-30T10:43:01.069937Z",
     "shell.execute_reply": "2023-03-30T10:43:01.069276Z",
     "shell.execute_reply.started": "2023-03-30T10:43:01.065831Z"
    },
    "tags": []
   },
   "source": [
    "## OpenSeesPy Model Creation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we create a pier example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:00.640655Z",
     "iopub.status.busy": "2023-05-06T12:33:00.639663Z",
     "iopub.status.idle": "2023-05-06T12:33:00.654557Z",
     "shell.execute_reply": "2023-05-06T12:33:00.654557Z",
     "shell.execute_reply.started": "2023-05-06T12:33:00.640655Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ops.wipe()\n",
    "ops.model('basic', '-ndm', 3, '-ndf', 6)\n",
    "\n",
    "def create_pier(sec_tag):  \n",
    "    ops.node(1, 0.0, 0.0, 0.0)\n",
    "    ops.node(2, 0.0, 0.0, 6.0)\n",
    "    ops.mass(2, 50, 50, 50, 0.0, 0.0, 0.0)\n",
    "    ops.fix(1, 1, 1, 1, 1, 1, 1)\n",
    "    ops.geomTransf('Linear', 1, *[-1.0, 0.0, 0.0])\n",
    "    ops.beamIntegration('Lobatto', 1, sec_tag, 6)\n",
    "    ops.element('forceBeamColumn', 1, *[1, 2], 1, 1)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "tags": []
   },
   "source": [
    "Next we use :class:`opstool.preprocessing.SecMesh` to create a fiber section, or define it yourself."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:00.656579Z",
     "iopub.status.busy": "2023-05-06T12:33:00.656579Z",
     "iopub.status.idle": "2023-05-06T12:33:01.117715Z",
     "shell.execute_reply": "2023-05-06T12:33:01.117715Z",
     "shell.execute_reply.started": "2023-05-06T12:33:00.656579Z"
    },
    "tags": []
   },
   "outputs": [
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       "/*!\n",
       " * The buffer module from node.js, for the browser.\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},mt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},gt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+m(e))/r)]};var bt=3+2*w;function _t(t,e){var r=m(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=m(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var h=a/2,p=s/2,d=m(h),g=o(h),y=m(p),b=o(p),T=o(s),k=L(T),A=y/(b+w*g*k),M=A*A,S=L(2/(1+M)),E=(w*b+(g+d)*k)/(w*b+(g-d)*k),C=L(E),P=C-1/C,I=C+1/C,O=S*P-2*c(C)-t,z=S*A*I-2*i(A)-e,R=y&&_*k*d*M/y,F=(w*g*b+k)/(2*(b+w*g*k)*(b+w*g*k)*k),B=-.5*A*S*S*S,N=B*R,j=B*F,U=(U=2*b+w*k*(g-d))*U*C,V=(w*g*b*k+T)/U,H=-w*d*y/(k*U),q=P*N-2*V/C+S*(V+V/E),G=P*j-2*H/C+S*(H+H/E),Y=A*I*N-2*R/(1+M)+S*I*R+S*A*(V-V/E),W=A*I*j-2*F/(1+M)+S*I*F+S*A*(H-H/E),X=G*Y-W*q;if(!X)break;var Z=(z*G-O*W)/X,J=(O*Y-z*q)/X;a-=Z,s=u(-x,f(x,s-J))}while((n(Z)>v||n(J)>v)&&--l>0);return n(n(s)-x)<v?[0,s]:l&&[a,s]};var wt=o(35*M);function Tt(t,e){var r=g(e/2);return[t*wt*L(1-r*r),(1+wt)*r]}function kt(t,e){var r=e/2,n=o(r);return[2*t/T*o(e)*n*n,T*g(r)]}function At(t){var e=1-t,r=i(y,0)[0]-i(-y,0)[0],n=L(2*(i(0,x)[1]-i(0,-x)[1])/r);function i(r,n){var i=o(n),a=m(n);return[i/(e+t*i)*r,e*n+t*a]}function a(t,e){var r=i(t,e);return[r[0]*n,r[1]/n]}function s(t){return a(0,t)[1]}return a.invert=function(r,i){var a=V(s,i);return[r/n*(t+e/o(a)),a]},a}function Mt(t){return[t[0]/2,S(g(t[1]/2*M))*A]}function St(t){return[2*t[0],2*i(m(t[1]*M))*A]}function Et(t,r){var i=2*y/r,s=t*t;function l(r,l){var c=e.geoAzimuthalEquidistantRaw(r,l),u=c[0],f=c[1],h=u*u+f*f;if(h>s){var d=L(h),g=a(f,u),b=i*p(g/i),_=g-b,w=t*o(_),T=(t*m(_)-_*m(w))/(x-w),k=Lt(_,T),A=(y-t)/Ct(k,w,y);u=d;var M,S=50;do{u-=M=(t+Ct(k,w,u)*A-d)/(k(u)*A)}while(n(M)>v&&--S>0);f=_*m(u),u<x&&(f-=T*(u-x));var E=m(b),C=o(b);c[0]=u*C-f*E,c[1]=u*E+f*C}return c}return l.invert=function(r,l){var c=r*r+l*l;if(c>s){var u=L(c),f=a(l,r),h=i*p(f/i),d=f-h;r=u*o(d),l=u*m(d);for(var g=r-x,v=m(r),b=l/v,_=r<x?1/0:0,w=10;;){var T=t*m(b),k=t*o(b),A=m(k),M=x-k,S=(T-b*A)/M,E=Lt(b,S);if(n(_)<1e-12||!--w)break;b-=_=(b*v-S*g-l)/(v-2*g*(M*(k+b*T*o(k)-A)-T*(T-b*A))/(M*M))}r=(u=t+Ct(E,k,r)*(y-t)/Ct(E,k,y))*o(f=h+b),l=u*m(f)}return e.geoAzimuthalEquidistantRaw.invert(r,l)},l}function Lt(t,e){return function(r){var n=t*o(r);return r<x&&(n-=e),L(1+n*n)}}function 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":81,\"color-normalize\":89,\"css-font\":99,\"detect-kerning\":125,\"es6-weak-map\":183,\"flatten-vertex-data\":191,\"font-atlas\":192,\"font-measure\":193,\"gl-util/context\":226,\"is-plain-obj\":236,\"object-assign\":247,\"parse-rect\":249,\"parse-unit\":251,\"pick-by-alias\":253,regl:283,\"to-px\":314,\"typedarray-pool\":327}],226:[function(t,e,r){(function(r){(function(){\"use strict\";var n=t(\"pick-by-alias\");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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m?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return oi}},pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Gn,this.transition={})};pi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1){if(!Qn(n[r].charCodeAt(0),e))return!1}return!0}(t,hi.isLoaded())},pi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},pi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Br(t))return new Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},gi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},gi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new 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e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),m=d.x*p.x+d.y*p.y;d._mult(1/m),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,Z,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(f),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var m=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,m,r,n,i);else if(\"LineString\"===h)lt(f,m,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,m,r,n,i,!1);else if(\"Polygon\"===h)ut(f,m,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g<f.length;g++){var v=[];ut(f[g],v,r,n,i,!0),v.length&&m.push(v)}if(m.length){if(s.lineMetrics&&\"LineString\"===h){for(g=0;g<m.length;g++)l.push(Q(u.id,h,m[g],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===m.length?(h=\"LineString\",m=m[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===m.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,m,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=mt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function gt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,v=\"map\"===c,y=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new oi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jn(e));for(var g=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(m);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",m),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",m),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),m=t(\"parse-rect\"),g=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,\"float64\"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),g&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),m=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",m.bordercolor||i.contrast(g));n.coerceFont(a,\"hoverlabel.font\",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,\"\",\"paper\");if(\"paper\"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v=\"a\"+m,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==g&&(y=e[v]=\"pixel\");var 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r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):\"paper\"===gt?\"y\"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),m=t(\"../titles\"),g=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),mt=0,gt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),m.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),m=15.6;if(f.node()&&(m=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),gt=a.width,(mt=a.height)>m&&(h[1]-=(mt-m)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),gt=a.width,mt=a.height),o){if(mt){if(mt+=5,\"top\"===j)it.domain[1]-=mt/R.h,h[1]*=-1;else{it.domain[0]+=mt/R.h;var v=g.lineCount(f);h[1]+=(1-v)*m}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else gt&&(\"right\"===j&&(it.domain[0]+=(gt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,m=!o&&\"right\"===j,g=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,g=n.height)),m&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,g+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=g;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+g-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=m?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?mt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+mt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-g))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var m=d[0];i(m.x0)&&i(m.y0)&&(h=ht(m),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,mt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=mt;var gt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};gt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,gt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var g=p[o],v=p[o+1],y=g[g.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),m=t.trace;if(g.traceIs(m,\"gl3d\")){var v=i._fullLayout[m.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,m),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),m={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var g,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),g=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;g<b?(g=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):g>i.width-b?(g=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",g=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",g=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(g<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-g+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(g,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),m=d.LINE_SPACING,g=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},u.drawcircle={name:\"drawcircle\",title:function(t){return c(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},u.eraseshape={name:\"eraseshape\",title:function(t){return c(t,\"Erase active shape\")},icon:o.eraseshape,click:s},u.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},u.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},u.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return c(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},u.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return c(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},u.tableRotation={name:\"tableRotation\",title:function(t){return c(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},u.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return c(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},u.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return c(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},u.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},u.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m},u.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return c(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:y}},{\"../../fonts/ploticon\":482,\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../plots/plots\":619,\"../../registry\":638,\"../shapes/draw\":450}],427:[function(t,e,r){\"use strict\";var n=t(\"./buttons\"),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{\"./buttons\":426}],428:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES,u=t(\"../../lib\").extendDeep;e.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=u([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),m=e._has(\"cartesian\"),g=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\");L(C);var P=[],I=[],O=[],z=[];(m||b||y||x||_)+v+g+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];m&&(I=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(I=[]);!m&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(m||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e})(r)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==I.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==c.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(O)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},{\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../../traces/scatter/subtypes\":952,\"../fx/helpers\":402,\"./buttons\":426,\"./constants\":427,\"./modebar\":431}],431:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../fonts/ploticon\"),s=t(\"../../version\").version,l=new DOMParser;function c(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=c.prototype;u.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var 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t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},\"date\"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/animation_attributes\":548,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"./constants\":460}],460:[function(t,e,r){\"use 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T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*m[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*m[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return 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t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",h),o.on(\"touchend\",h)}t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var 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n=t(\"@plotly/d3\"),i=t(\"d3-time-format\").utcFormat,a=t(\"d3-format\").format,o=t(\"fast-isnumeric\"),s=t(\"../constants/numerical\"),l=s.FP_SAFE,c=-l,u=s.BADNUM,f=e.exports={};f.adjustFormat=function(t){return!t||/^\\d[.]\\df/.test(t)||/[.]\\d%/.test(t)?t:\"0.f\"===t?\"~f\":/^\\d%/.test(t)?\"~%\":/^\\ds/.test(t)?\"~s\":!/^[~,.0$]/.test(t)&&/[&fps]/.test(t)?\"~\"+t:t};var h={};f.warnBadFormat=function(t){var e=String(t);h[e]||(h[e]=1,f.warn('encountered bad format: \"'+e+'\"'))},f.noFormat=function(t){return String(t)},f.numberFormat=function(t){var e;try{e=a(f.adjustFormat(t))}catch(e){return f.warnBadFormat(t),f.noFormat}return e},f.nestedProperty=t(\"./nested_property\"),f.keyedContainer=t(\"./keyed_container\"),f.relativeAttr=t(\"./relative_attr\"),f.isPlainObject=t(\"./is_plain_object\"),f.toLogRange=t(\"./to_log_range\"),f.relinkPrivateKeys=t(\"./relink_private\");var 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b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener(\"resize\",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},m._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),m._has(\"pie\"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];\"pie\"===n.type&&n.automargin&&h.allowAutoMargin(t,\"pie.\"+n.uid+\".automargin\")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),u.getComponentMethod(\"rangeslider\",\"calcAutorange\")(t))}var E=[h.previousPromises,function(){if(s)return r.addFrames(t,s)},function e(){for(var 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u=e._clips.selectAll(\".axesclip\").data(c,(function(t){return t.x._id+t.y._id}));u.enter().append(\"clipPath\").classed(\"axesclip\",!0).attr(\"id\",(function(t){return\"clip\"+e._uid+t.x._id+t.y._id})).append(\"rect\"),u.exit().remove(),u.each((function(t){n.select(this).select(\"rect\").attr({x:t.x._offset||0,y:t.y._offset||0,width:t.x._length||1,height:t.y._length||1})}))}},H.draw=function(t,e,r){var n=t._fullLayout;\"redraw\"===e&&n._paper.selectAll(\"g.subplot\").each((function(t){var e=t[0],r=n._plots[e];if(r){var i=r.xaxis,a=r.yaxis;r.xaxislayer.selectAll(\".\"+i._id+\"tick\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"tick2\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick2\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"divider\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"divider\").remove(),r.minorGridlayer&&r.minorGridlayer.selectAll(\"path\").remove(),r.gridlayer&&r.gridlayer.selectAll(\"path\").remove(),r.zerolinelayer&&r.zerolinelayer.selectAll(\"path\").remove(),n._infolayer.select(\".g-\"+i._id+\"title\").remove(),n._infolayer.select(\".g-\"+a._id+\"title\").remove()}}));var i=e&&\"redraw\"!==e?e:H.listIds(t);return s.syncOrAsync(i.map((function(e){return function(){if(e){var n=H.getFromId(t,e),i=H.drawOne(t,n,r);return n._r=n.range.slice(),n._rl=s.simpleMap(n._r,n.r2l),i}}})))},H.drawOne=function(t,e,r){var n,i,l;r=r||{},e.setScale();var c=t._fullLayout,p=e._id,d=p.charAt(0),m=H.counterLetter(p),g=c._plots[e._mainSubplot];if(g){var v=g[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=H.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,A=H.makeTransTickFn(e),M=H.makeTransTickLabelFn(e),S=\"inside\"===e.ticks,E=\"outside\"===e.ticks;if(\"boundaries\"===e.tickson){var L=function(t,e){var r,n=[],i=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)i(e[r],0);i(e[r-1],1)}return n}(0,b);k=H.clipEnds(e,L),T=S?k:L}else k=H.clipEnds(e,b),T=S&&\"period\"!==e.ticklabelmode?k:b;var C,P=e._gridVals=k,I=function(t,e){var r,n,i=[],a=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&i.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,a?1:0),n=l.text2}o(e[r-1],a?0:1)}return i}(e,b);if(!c._hasOnlyLargeSploms){var O=e._subplotsWith,z={};for(n=0;n<O.length;n++){i=O[n];var D=(l=c._plots[i])[m+\"axis\"],R=D._mainAxis._id;if(!z[R]){z[R]=1;var F=\"x\"===d?\"M0,\"+D._offset+\"v\"+D._length:\"M\"+D._offset+\",0h\"+D._length;H.drawGrid(t,e,{vals:P,counterAxis:D,layer:l.gridlayer.select(\".\"+p),minorLayer:l.minorGridlayer.select(\".\"+p),path:F,transFn:A}),H.drawZeroLine(t,e,{counterAxis:D,layer:l.zerolinelayer,path:F,transFn:A})}}}var B=H.getTickSigns(e),N=H.getTickSigns(e,\"minor\");if(e.ticks||e.minor&&e.minor.ticks){var j,q,G,Y,W=H.makeTickPath(e,y,B[2]),X=H.makeTickPath(e,y,N[2],{minor:!0});if(e._anchorAxis&&e.mirror&&!0!==e.mirror?(j=H.makeTickPath(e,x,B[3]),q=H.makeTickPath(e,x,N[3],{minor:!0}),G=W+j,Y=X+q):(j=\"\",q=\"\",G=W,Y=X),e.showdividers&&E&&\"boundaries\"===e.tickson){var Z={};for(n=0;n<I.length;n++)Z[I[n].x]=1;C=function(t){return Z[t.x]?j:G}}else C=function(t){return t.minor?Y:G}}if(H.drawTicks(t,e,{vals:T,layer:v,path:C,transFn:A}),\"allticks\"===e.mirror){var J=Object.keys(e._linepositions||{});for(n=0;n<J.length;n++){i=J[n],l=c._plots[i];var K=e._linepositions[i]||[],Q=K[0],$=K[1],tt=K[2],et=H.makeTickPath(e,Q,tt?B[0]:N[0],{minor:tt})+H.makeTickPath(e,$,tt?B[1]:N[1],{minor:tt});H.drawTicks(t,e,{vals:T,layer:l[d+\"axislayer\"],path:et,transFn:A})}}var rt=[];if(rt.push((function(){return H.drawLabels(t,e,{vals:b,layer:v,plotinfo:l,transFn:M,labelFns:H.makeLabelFns(e,y)})})),\"multicategory\"===e.type){var nt={x:2,y:10}[d];rt.push((function(){var r={x:\"height\",y:\"width\"}[d],n=at()[r]+nt+(e._tickAngles[p+\"tick\"]?e.tickfont.size*U:0);return H.drawLabels(t,e,{vals:vt(e,b),layer:v,cls:p+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:A,labelFns:H.makeLabelFns(e,y+n*B[4])})})),rt.push((function(){return e._depth=B[4]*(at(\"tick2\")[e.side]-y),function(t,e,r){var n=e._id+\"divider\",i=r.vals,a=r.layer.selectAll(\"path.\"+n).data(i,xt);a.exit().remove(),a.enter().insert(\"path\",\":first-child\").classed(n,1).classed(\"crisp\",1).call(f.stroke,e.dividercolor).style(\"stroke-width\",h.crispRound(t,e.dividerwidth,1)+\"px\"),a.attr(\"transform\",r.transFn).attr(\"d\",r.path)}(t,e,{vals:I,layer:v,path:H.makeTickPath(e,y,B[4],{len:e._depth}),transFn:A})}))}else e.title.hasOwnProperty(\"standoff\")&&rt.push((function(){e._depth=B[4]*(at()[e.side]-y)}));var it=o.getComponentMethod(\"rangeslider\",\"isVisible\")(e);return rt.push((function(){var r,n,i,s,l=e.side.charAt(0),u=V[e.side].charAt(0),f=H.getPxPosition(t,e),h=E?e.ticklen:0;if((e.automargin||it)&&(\"multicategory\"===e.type?r=at(\"tick2\"):(r=at(),\"x\"===d&&\"b\"===l&&(e._depth=Math.max(r.width>0?r.bottom-f:0,h)))),e.automargin){n={x:0,y:0,r:0,l:0,t:0,b:0};var p=[0,1];if(\"x\"===d){if(\"b\"===l?n[l]=e._depth:(n[l]=e._depth=Math.max(r.width>0?f-r.top:0,h),p.reverse()),r.width>0){var g=r.right-(e._offset+e._length);g>0&&(n.xr=1,n.r=g);var v=e._offset-r.left;v>0&&(n.xl=0,n.l=v)}}else if(\"l\"===l?n[l]=e._depth=Math.max(r.height>0?f-r.left:0,h):(n[l]=e._depth=Math.max(r.height>0?r.right-f:0,h),p.reverse()),r.height>0){var y=r.bottom-(e._offset+e._length);y>0&&(n.yb=0,n.b=y);var x=e._offset-r.top;x>0&&(n.yt=1,n.t=x)}n[m]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[p[0]],e.title.text!==c._dfltTitle[d]&&(n[l]+=bt(e)+(e.title.standoff||0)),e.mirror&&\"free\"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=h),!0===e.mirror||\"ticks\"===e.mirror?i[m]=e._anchorAxis.domain[p[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[m]=[e._counterDomainMin,e._counterDomainMax][p[1]]))}it&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),a.autoMargin(t,Tt(e),n),a.autoMargin(t,kt(e),i),a.autoMargin(t,At(e),s)})),r.skipTitle||it&&\"bottom\"===e.side||rt.push((function(){return function(t,e){var r,n=t._fullLayout,i=e._id,a=i.charAt(0),o=e.title.font.size;if(e.title.hasOwnProperty(\"standoff\"))r=e._depth+e.title.standoff+bt(e);else{var s=Pt(e);if(\"multicategory\"===e.type)r=e._depth;else{var l=1.5*o;s&&(l=.5*o,\"outside\"===e.ticks&&(l+=e.ticklen)),r=10+l+(e.linewidth?e.linewidth-1:0)}s||(r+=\"x\"===a?\"top\"===e.side?o*(e.showticklabels?1:0):o*(e.showticklabels?1.5:.5):\"right\"===e.side?o*(e.showticklabels?1:.5):o*(e.showticklabels?.5:0))}var c,f,p,d,m=H.getPxPosition(t,e);\"x\"===a?(f=e._offset+e._length/2,p=\"top\"===e.side?m-r:m+r):(p=e._offset+e._length/2,f=\"right\"===e.side?m+r:m-r,c={rotate:\"-90\",offset:0});if(\"multicategory\"!==e.type){var g=e._selections[e._id+\"tick\"];if(d={selection:g,side:e.side},g&&g.node()&&g.node().parentNode){var v=h.getTranslate(g.node().parentNode);d.offsetLeft=v.x,d.offsetTop=v.y}e.title.hasOwnProperty(\"standoff\")&&(d.pad=0)}return u.draw(t,i+\"title\",{propContainer:e,propName:e._name+\".title.text\",placeholder:n._dfltTitle[a],avoid:d,transform:c,attributes:{x:f,y:p,\"text-anchor\":\"middle\"}})}(t,e)})),s.syncOrAsync(rt)}}function at(t){var r=p+(t||\"tick\");return w[r]||(w[r]=function(t,e){var r,n,i,a;t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var t=wt(this),e=h.bBox(t.node().parentNode);r=Math.min(r,e.top),n=Math.max(n,e.bottom),i=Math.min(i,e.left),a=Math.max(a,e.right)}))):(r=0,n=0,i=0,a=0);return{top:r,bottom:n,left:i,right:a,height:n-r,width:a-i}}(e,r)),w[r]}},H.getTickSigns=function(t,e){var r=t._id.charAt(0),n={x:\"top\",y:\"right\"}[r],i=t.side===n?1:-1,a=[-1,1,i,-i];return\"inside\"!==(e?(t.minor||{}).ticks:t.ticks)==(\"x\"===r)&&(a=a.map((function(t){return-t}))),t.side&&a.push({l:-1,t:-1,r:1,b:1}[t.side.charAt(0)]),a},H.makeTransTickFn=function(t){return\"x\"===t._id.charAt(0)?function(e){return l(t._offset+t.l2p(e.x),0)}:function(e){return l(0,t._offset+t.l2p(e.x))}},H.makeTransTickLabelFn=function(t){var e=function(t){var e=t.ticklabelposition||\"\",r=function(t){return-1!==e.indexOf(t)},n=r(\"top\"),i=r(\"left\"),a=r(\"right\"),o=r(\"bottom\"),s=r(\"inside\"),l=o||i||n||a;if(!l&&!s)return[0,0];var c=t.side,u=l?(t.tickwidth||0)/2:0,f=3,h=t.tickfont?t.tickfont.size:12;(o||n)&&(u+=h*j,f+=(t.linewidth||0)/2);(i||a)&&(u+=(t.linewidth||0)/2,f+=3);s&&\"top\"===c&&(f-=h*(1-j));(i||n)&&(u=-u);\"bottom\"!==c&&\"right\"!==c||(f=-f);return[l?u:0,s?f:0]}(t),r=e[0],n=e[1];return\"x\"===t._id.charAt(0)?function(e){return l(r+t._offset+t.l2p(yt(e)),n)}:function(e){return l(n,r+t._offset+t.l2p(yt(e)))}},H.makeTickPath=function(t,e,r,n){n||(n={});var i=n.minor;if(i&&!t.minor)return\"\";var a=void 0!==n.len?n.len:i?t.minor.ticklen:t.ticklen,o=t._id.charAt(0),s=(t.linewidth||1)/2;return\"x\"===o?\"M0,\"+(e+s*r)+\"v\"+a*r:\"M\"+(e+s*r)+\",0h\"+a*r},H.makeLabelFns=function(t,e,r){var n=t.ticklabelposition||\"\",a=function(t){return-1!==n.indexOf(t)},o=a(\"top\"),l=a(\"left\"),c=a(\"right\"),u=a(\"bottom\")||l||o||c,f=a(\"inside\"),h=\"inside\"===n&&\"inside\"===t.ticks||!f&&\"outside\"===t.ticks&&\"boundaries\"!==t.tickson,p=0,d=0,m=h?t.ticklen:0;if(f?m*=-1:u&&(m=0),h&&(p+=m,r)){var g=s.deg2rad(r);p=m*Math.cos(g)+1,d=m*Math.sin(g)}t.showticklabels&&(h||t.showline)&&(p+=.2*t.tickfont.size);var v,y,x,b,_,w={labelStandoff:p+=(t.linewidth||1)/2*(f?-1:1),labelShift:d},T=0,k=t.side,A=t._id.charAt(0),M=t.tickangle;if(\"x\"===A)b=(_=!f&&\"bottom\"===k||f&&\"top\"===k)?1:-1,f&&(b*=-1),v=d*b,y=e+p*b,x=_?1:-.2,90===Math.abs(M)&&(f?x+=N:x=-90===M&&\"bottom\"===k?j:90===M&&\"top\"===k?N:.5,T=N/2*(M/90)),w.xFn=function(t){return t.dx+v+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*x},w.anchorFn=function(t,e){if(u){if(l)return\"end\";if(c)return\"start\"}return i(e)&&0!==e&&180!==e?e*b<0!==f?\"end\":\"start\":\"middle\"},w.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:\"top\"===t.side!==f?-n:0};else if(\"y\"===A){if(b=(_=!f&&\"left\"===k||f&&\"right\"===k)?1:-1,f&&(b*=-1),v=p,y=d*b,x=0,f||90!==Math.abs(M)||(x=-90===M&&\"left\"===k||90===M&&\"right\"===k?j:.5),f){var S=i(M)?+M:0;if(0!==S){var E=s.deg2rad(S);T=Math.abs(Math.sin(E))*j*b,x=0}}w.xFn=function(t){return t.dx+e-(v+t.fontSize*x)*b+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*N},w.anchorFn=function(t,e){return i(e)&&90===Math.abs(e)?\"middle\":_?\"end\":\"start\"},w.heightFn=function(e,r,n){return\"right\"===t.side&&(r*=-1),r<-30?-n:r<30?-.5*n:0}}return w},H.drawTicks=function(t,e,r){r=r||{};var i=e._id+\"tick\",a=[].concat(e.minor&&e.minor.ticks?r.vals.filter((function(t){return t.minor&&!t.noTick})):[]).concat(e.ticks?r.vals.filter((function(t){return!t.minor&&!t.noTick})):[]),o=r.layer.selectAll(\"path.\"+i).data(a,xt);o.exit().remove(),o.enter().append(\"path\").classed(i,1).classed(\"ticks\",1).classed(\"crisp\",!1!==r.crisp).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.tickcolor:e.tickcolor)})).style(\"stroke-width\",(function(r){return h.crispRound(t,r.minor?e.minor.tickwidth:e.tickwidth,1)+\"px\"})).attr(\"d\",r.path).style(\"display\",null),It(e,[R]),o.attr(\"transform\",r.transFn)},H.drawGrid=function(t,e,r){r=r||{};var i=e._id+\"grid\",a=e.minor&&e.minor.showgrid,o=a?r.vals.filter((function(t){return t.minor})):[],s=e.showgrid?r.vals.filter((function(t){return!t.minor})):[],l=r.counterAxis;if(l&&H.shouldShowZeroLine(t,e,l))for(var c=\"array\"===e.tickmode,u=0;u<s.length;u++){var p=s[u].x;if(c?!p:Math.abs(p)<e.dtick/100){if(s=s.slice(0,u).concat(s.slice(u+1)),!c)break;u--}}e._gw=h.crispRound(t,e.gridwidth,1);for(var d=a?h.crispRound(t,e.minor.gridwidth,1):0,m=r.layer,g=r.minorLayer,v=1;v>=0;v--){var y=v?m:g;if(y){var x=y.selectAll(\"path.\"+i).data(v?s:o,xt);x.exit().remove(),x.enter().append(\"path\").classed(i,1).classed(\"crisp\",!1!==r.crisp),x.attr(\"transform\",r.transFn).attr(\"d\",r.path).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.gridcolor:e.gridcolor||\"#ddd\")})).style(\"stroke-dasharray\",(function(t){return h.dashStyle(t.minor?e.minor.griddash:e.griddash,t.minor?e.minor.gridwidth:e.gridwidth)})).style(\"stroke-width\",(function(t){return(t.minor?d:e._gw)+\"px\"})).style(\"display\",null),\"function\"==typeof r.path&&x.attr(\"d\",r.path)}}It(e,[z,D])},H.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+\"zl\",i=H.shouldShowZeroLine(t,e,r.counterAxis),a=r.layer.selectAll(\"path.\"+n).data(i?[{x:0,id:e._id}]:[]);a.exit().remove(),a.enter().append(\"path\").classed(n,1).classed(\"zl\",1).classed(\"crisp\",!1!==r.crisp).each((function(){r.layer.selectAll(\"path\").sort((function(t,e){return Y(t.id,e.id)}))})),a.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(f.stroke,e.zerolinecolor||f.defaultLine).style(\"stroke-width\",h.crispRound(t,e.zerolinewidth,e._gw||1)+\"px\").style(\"display\",null),It(e,[O])},H.drawLabels=function(t,e,r){r=r||{};var a=t._fullLayout,o=e._id,u=o.charAt(0),f=r.cls||o+\"tick\",p=r.vals.filter((function(t){return t.text})),d=r.labelFns,m=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[f],v=r.layer.selectAll(\"g.\"+f).data(e.showticklabels?p:[],xt),y=[];function x(t,a){t.each((function(t){var o=n.select(this),s=o.select(\".text-math-group\"),u=d.anchorFn(t,a),f=r.transFn.call(o.node(),t)+(i(a)&&0!=+a?\" rotate(\"+a+\",\"+d.xFn(t)+\",\"+(d.yFn(t)-t.fontSize/2)+\")\":\"\"),p=c.lineCount(o),m=U*t.fontSize,g=d.heightFn(t,i(a)?+a:0,(p-1)*m);if(g&&(f+=l(0,g)),s.empty()){var v=o.select(\"text\");v.attr({transform:f,\"text-anchor\":u}),v.style(\"opacity\",1),e._adjustTickLabelsOverflow&&e._adjustTickLabelsOverflow()}else{var y=h.bBox(s.node()).width*{end:-.5,start:.5}[u];s.attr(\"transform\",f+l(y,0))}}))}v.enter().append(\"g\").classed(f,1).append(\"text\").attr(\"text-anchor\",\"middle\").each((function(e){var r=n.select(this),i=t._promises.length;r.call(c.positionText,d.xFn(e),d.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(c.convertToTspans,t),t._promises[i]?y.push(t._promises.pop().then((function(){x(r,m)}))):x(r,m)})),It(e,[F]),v.exit().remove(),r.repositionOnUpdate&&v.each((function(t){n.select(this).select(\"text\").call(c.positionText,d.xFn(t),d.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&\"allow\"!==r){var i=-1!==r.indexOf(\"hide\"),o=\"x\"===e._id.charAt(0),l=0,c=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf(\"domain\")){var u=s.simpleMap(e.range,e.r2l);l=e.l2p(u[0])+e._offset,c=e.l2p(u[1])+e._offset}var f=Math.min(l,c),p=Math.max(l,c),d=e.side,m=1/0,g=-1/0;for(var y in v.each((function(t){var 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o=\"tick\"===t.K&&\"text\"===t.L&&\"period\"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===O.K?s.zerolinelayer.selectAll(\".\"+e._id+\"zl\"):t.K===D.K?s.minorGridlayer.selectAll(\".\"+e._id):t.K===z.K?s.gridlayer.selectAll(\".\"+e._id):s[e._id.charAt(0)+\"axislayer\"]).each((function(){var a=n.select(this);t.L&&(a=a.selectAll(t.L)),a.each((function(a){var s=e.l2p(o?yt(a):a.x)+e._offset,l=n.select(this);s<e[\"_visibleLabelMax_\"+r._id]&&s>e[\"_visibleLabelMin_\"+r._id]?l.style(\"display\",\"none\"):\"tick\"!==t.K||i||l.style(\"display\",null)}))}))}))}))},x(v,g+1?g:m);var b=null;e._selections&&(e._selections[f]=v);var _=[function(){return y.length&&Promise.all(y)}];e.automargin&&a._redrawFromAutoMarginCount&&90===g?(b=90,_.push((function(){x(v,g)}))):_.push((function(){if(x(v,m),p.length&&\"x\"===u&&!i(m)&&(\"log\"!==e.type||\"D\"!==String(e.dtick).charAt(0))){b=0;var t,n=0,a=[];if(v.each((function(t){n=Math.max(n,t.fontSize);var 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n=t(\"fast-isnumeric\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../../plot_api/plot_template\"),s=t(\"../array_container_defaults\"),l=t(\"./layout_attributes\"),c=t(\"./tick_value_defaults\"),u=t(\"./tick_mark_defaults\"),f=t(\"./tick_label_defaults\"),h=t(\"./prefix_suffix_defaults\"),p=t(\"./category_order_defaults\"),d=t(\"./line_grid_defaults\"),m=t(\"./set_convert\"),g=t(\"./constants\").WEEKDAY_PATTERN,v=t(\"./constants\").HOUR_PATTERN;function y(t,e,r){function i(r,n){return a.coerce(t,e,l.rangebreaks,r,n)}if(i(\"enabled\")){var o=i(\"bounds\");if(o&&o.length>=2){var s,c,u=\"\";if(2===o.length)for(s=0;s<2;s++)if(c=b(o[s])){u=g;break}var f=i(\"pattern\",u);if(f===g)for(s=0;s<2;s++)(c=b(o[s]))&&(e.bounds[s]=o[s]=c-1);if(f)for(s=0;s<2;s++)switch(c=o[s],f){case g:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[s]=o[s]=c;break;case v:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),yt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":y(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,y(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=Ot,y(a)&&It(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(mt,kt,Q,$,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(mt,Q,$)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;y(r)||(yt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Zt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b=\"ns\"===at?-e[1]*a._length/O._length:Zt(a,y,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/I._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{\"../../components/color\":366,\"../../components/dragelement\":385,\"../../components/dragelement/helpers\":384,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/clear_gl_canvases\":487,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/subroutines\":544,\"../../registry\":638,\"../plots\":619,\"./axes\":554,\"./axis_ids\":558,\"./constants\":561,\"./scale_zoom\":574,\"./select\":575,\"@plotly/d3\":58,\"has-passive-events\":229,tinycolor2:312}],564:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),i=r.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var f=o._mainLinePosition;\"top\"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,f,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var h=c._mainLinePosition;\"right\"!==c.side&&(h-=l),s(t,n,h,c._offset+.1*c._length,l,.8*c._length,\"ns\",\"\"),s(t,n,h,c._offset+.9*c._length,l,.1*c._length,\"s\",\"\"),s(t,n,h,c._offset,l,.1*c._length,\"n\",\"\")}}}));var o=e._hoverlayer.node();o.onmousemove=function(r){r.target=t._fullLayout._lasthover,i.hover(t,r,e._hoversubplot)},o.onclick=function(e){e.target=t._fullLayout._lasthover,i.click(t,e)},o.onmousedown=function(e){t._fullLayout._lasthover.onmousedown(e)},r.updateFx(t)}},r.updateFx=function(t){var e=t._fullLayout,r=\"pan\"===e.dragmode?\"move\":\"crosshair\";o(e._draggers,r)}},{\"../../components/dragelement\":385,\"../../components/fx\":406,\"../../lib/setcursor\":524,\"./constants\":561,\"./dragbox\":563,\"@plotly/d3\":58}],565:[function(t,e,r){\"use strict\";e.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearSelect:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],566:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},{\"../../lib\":503}],567:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"./axis_ids\");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has(\"cartesian\")||r._has(\"gl2d\"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var g=a.cleanId(m.xref,\"x\",!1),v=a.cleanId(m.yref,\"y\",!1),y=l.x.test(g),x=l.y.test(v);if(y||x){p||i.pushUnique(r._basePlotModules,s);var b=!1;y&&-1===u.indexOf(g)&&(u.push(g),b=!0),x&&-1===f.indexOf(v)&&(f.push(v),b=!0),b&&y&&x&&h.push(g+v)}}}}}},{\"../../lib\":503,\"../../registry\":638,\"./axis_ids\":558}],568:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../plots\"),s=t(\"../../components/drawing\"),l=t(\"../get_data\").getModuleCalcData,c=t(\"./axis_ids\"),u=t(\"./constants\"),f=t(\"../../constants/xmlns_namespaces\"),h=a.ensureSingle;function p(t,e,r){return a.ensureSingle(t,e,r,(function(t){t.datum(r)}))}function d(t,e,r,a,o){for(var c,f,h,p=u.traceLayerClasses,d=t._fullLayout,m=d._modules,g=[],v=[],y=0;y<m.length;y++){var x=(c=m[y]).name,b=i.modules[x].categories;if(b.svg){var _=c.layerName||x+\"layer\",w=c.plot;h=(f=l(r,w))[0],r=f[1],h.length&&g.push({i:p.indexOf(_),className:_,plotMethod:w,cdModule:h}),b.zoomScale&&v.push(\".\"+_)}}g.sort((function(t,e){return t.i-e.i}));var T=e.plot.selectAll(\"g.mlayer\").data(g,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var i=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,i,a,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(i,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=i.getModule(\"scattergl\"),h=l(r,c)[0],c.plot(t,e,h)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function m(t,e){var r=e.plotgroup,n=e.id,i=u.layerValue2layerClass[e.xaxis.layer],a=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,f=n+\"-x\",d=n+\"-y\";e.minorGridlayer=s.minorGridlayer,e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,h(s.overlinesBelow,\"path\",f),h(s.overlinesBelow,\"path\",d),h(s.overaxesBelow,\"g\",f),h(s.overaxesBelow,\"g\",d),e.plot=h(s.overplot,\"g\",n),h(s.overlinesAbove,\"path\",f),h(s.overlinesAbove,\"path\",d),h(s.overaxesAbove,\"g\",f),h(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+i).select(\".\"+f),e.ylines=l.select(\".overlines-\"+a).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+i).select(\".\"+f),e.yaxislayer=l.select(\".overaxes-\"+a).select(\".\"+d)}else 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yt=b(\"rangeslider\",\"handleDefaults\"),xt=b(\"rangeselector\",\"handleDefaults\");for(y=0;y<j.length;y++)q=j[y],W=t[q],X=e[q],yt(t,e,q),\"date\"===X.type&&xt(W,X,e,U,X.calendar),K(\"fixedrange\");for(y=0;y<U.length;y++){q=U[y],W=t[q],X=e[q];var bt=e[m(X.anchor)];K(\"fixedrange\",b(\"rangeslider\",\"isVisible\")(bt))}h.handleDefaults(t,e,{axIds:rt.concat(it).sort(d.idSort),axHasImage:P})}},{\"../../components/color\":366,\"../../components/fx/helpers\":402,\"../../components/fx/hovermode_defaults\":405,\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638,\"../layout_attributes\":610,\"./axis_defaults\":556,\"./axis_ids\":558,\"./constants\":561,\"./constraints\":562,\"./layout_attributes\":569,\"./position_defaults\":572,\"./type_defaults\":582}],571:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../components/color/attributes\"),a=t(\"../../lib\");e.exports=function(t,e,r,o){var s=(o=o||{}).dfltColor;function l(r,n){return a.coerce2(t,e,o.attributes,r,n)}var c=l(\"linecolor\",s),u=l(\"linewidth\");r(\"showline\",o.showLine||!!c||!!u)||(delete e.linecolor,delete e.linewidth);var f=l(\"gridcolor\",n(s,o.bgColor,o.blend||i.lightFraction).toRgbString()),h=l(\"gridwidth\"),p=l(\"griddash\");if(r(\"showgrid\",o.showGrid||!!f||!!h||!!p)||(delete e.gridcolor,delete e.gridwidth,delete e.griddash),o.hasMinor){var d=l(\"minor.gridcolor\",n(e.gridcolor,o.bgColor,67).toRgbString()),m=l(\"minor.gridwidth\",e.gridwidth||1),g=l(\"minor.griddash\",e.griddash||\"solid\");r(\"minor.showgrid\",!!d||!!m||!!g)||(delete e.minor.gridcolor,delete e.minor.gridwidth,delete e.minor.griddash)}if(!o.noZeroLine){var v=l(\"zerolinecolor\",s),y=l(\"zerolinewidth\");r(\"zeroline\",o.showGrid||!!v||!!y)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{\"../../components/color/attributes\":365,\"../../lib\":503,tinycolor2:312}],572:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o,s,l,c,u=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,p=a.grid;p&&(s=p._domains[h][p._axisMap[e._id]],o=p._anchors[e._id],s&&(l=p[h+\"side\"].split(\" \")[0],c=p.domain[h][\"right\"===l||\"top\"===l?1:0])),s=s||[0,1],o=o||(n(t.position)?\"free\":u[0]||\"free\"),l=l||(\"x\"===h?\"bottom\":\"left\"),c=c||0,\"free\"===i.coerce(t,e,{anchor:{valType:\"enumerated\",values:[\"free\"].concat(u),dflt:o}},\"anchor\")&&r(\"position\",c),i.coerce(t,e,{side:{valType:\"enumerated\",values:\"x\"===h?[\"bottom\",\"top\"]:[\"left\",\"right\"],dflt:l}},\"side\");var d=!1;if(f.length&&(d=i.coerce(t,e,{overlaying:{valType:\"enumerated\",values:[!1].concat(f),dflt:!1}},\"overlaying\")),!d){var m=r(\"domain\",s);m[0]>m[1]-1/4096&&(e.domain=s),i.noneOrAll(t.domain,e.domain,s)}return r(\"layer\"),e}},{\"../../lib\":503,\"fast-isnumeric\":190}],573:[function(t,e,r){\"use strict\";var n=t(\"./show_dflt\");e.exports=function(t,e,r,i,a){a||(a={});var o=a.tickSuffixDflt,s=n(t);r(\"tickprefix\")&&r(\"showtickprefix\",s),r(\"ticksuffix\",o)&&r(\"showticksuffix\",s)}},{\"./show_dflt\":577}],574:[function(t,e,r){\"use strict\";var n=t(\"../../constants/alignment\").FROM_BL;e.exports=function(t,e,r){void 0===r&&(r=n[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)],t.setScale()}},{\"../../constants/alignment\":471}],575:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"../../registry\"),a=t(\"../../components/drawing\").dashStyle,o=t(\"../../components/color\"),s=t(\"../../components/fx\"),l=t(\"../../components/fx/helpers\").makeEventData,c=t(\"../../components/dragelement/helpers\"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t(\"../../components/shapes/draw_newshape/display_outlines\"),g=t(\"../../components/shapes/draw_newshape/helpers\").handleEllipse,v=t(\"../../components/shapes/draw_newshape/newshapes\"),y=t(\"../../lib\"),x=t(\"../../lib/polygon\"),b=t(\"../../lib/throttle\"),_=t(\"./axis_ids\").getFromId,w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"./constants\"),A=k.MINSELECT,M=x.filter,S=x.tester,E=t(\"./handle_outline\").clearSelect,L=t(\"./helpers\"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return 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e=[],r=z(t[0])?0:t[0][0][0],n=r,i=z(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(z(t[o]))e.push(D(t[o]));else{var s=x.tester(t[o]);s.subtract=t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function F(t,e,r){e._fullLayout._drawing=!1;var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(h(a)&&p(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||B(r),o||(E(e),n._lastSelectedSubplot=i.id)}function B(t){var e=t.dragmode,r=t.plotinfo,n=t.gd;if(n._fullLayout._activeShapeIndex>=0&&n._fullLayout._deactivateShape(n),h(e)){var 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r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},m.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s<i.length;s++){var l=i[s],c=n(r,o,l),u=e[l]._subplot;u||(u=a({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},updateFx:function(t){for(var e=t._fullLayout,r=e._subplots.geo,n=0;n<r.length;n++){var i=e[r[n]];i._subplot.updateFx(e,i)}},clean:function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}}}},{\"../../lib\":503,\"../../plots/get_data\":593,\"./geo\":588,\"./layout_attributes\":590,\"./layout_defaults\":591}],590:[function(t,e,r){\"use strict\";var n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../../components/drawing/attributes\").dash,o=t(\"./constants\"),s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"../../lib/sort_object_keys\"),c={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1},griddash:a};(e.exports=s({domain:i({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:l(o.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:l(o.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},tilt:{valType:\"number\",dflt:0},distance:{valType:\"number\",min:1.001,dflt:2},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:o.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:o.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:o.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:o.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:c,lataxis:c},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../components/drawing/attributes\":387,\"../../lib/sort_object_keys\":526,\"../../plot_api/edit_types\":536,\"../domain\":584,\"./constants\":587}],591:[function(t,e,r){\"use 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d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var 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n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),g=m.enforce,v=m.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,v,\"bordercolor\"),fontFamily:s.castHoverOption(g,v,\"font.family\"),fontSize:s.castHoverOption(g,v,\"font.size\"),fontColor:s.castHoverOption(g,v,\"font.color\"),nameLength:s.castHoverOption(g,v,\"namelength\"),textAlign:s.castHoverOption(g,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1124,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var m=n.getDfltFromLayout(\"dragmode\");if(!1!==m&&!m)if(m=\"orbit\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\"turntable\"):m=\"turntable\")}else m=\"turntable\";r(\"dragmode\",m),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),m=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1124,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],610:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:l(s({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:l({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":365,\"../components/shapes/draw_newshape/attributes\":451,\"../lib/extend\":493,\"./animation_attributes\":548,\"./font_attributes\":585,\"./pad_attributes\":618}],611:[function(t,e,r){\"use strict\";var n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map 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t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;d(c.style)&&(u?i.pushUnique(n,u):(d(c._input.style)&&(i.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),u&&i.pushUnique(a,u)}if(s){var f=o?p.noAccessTokenErrorMsg:p.missingStyleErrorMsg;throw i.error(f),new Error(f)}return 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m=c.select(s._subplot.div);if(!(null===m.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var g=e._glimages.append(\"g\");g.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),g.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),g.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=m.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split(\"|\").join(\"<br>\");x.text(w).attr(\"data-unformatted\",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr(\"transform\",a(-3,8-b.height)),y.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr(\"transform\",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{\"../../components/drawing\":388,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/get_data\":593,\"./constants\":611,\"./layout_attributes\":615,\"./layout_defaults\":616,\"./mapbox\":617,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":239}],614:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var 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O,z,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){O=null,z=null,D=null,N.moveFn=j,N.doneFn=H,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},v.init(N)}function j(t,e){if(O)O(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(O=s<.5?q:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function H(){null!==z?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function q(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above 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r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var 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r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\"\",cLetter:\"z\"})),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":376,\"./label_defaults\":750}],757:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/attributes\"),i=t(\"../contour/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=i.contours;e.exports=o({carpet:{valType:\"string\",editType:\"calc\"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:\"enumerated\",values:[\"fill\",\"lines\",\"none\"],dflt:\"fill\",editType:\"calc\"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:\"calc\",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:\"plot\"},transforms:void 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":908}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat;e.exports=u({z:{valType:\"data_array\",editType:\"calc\"},x:u({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:u({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:u({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:u({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:u({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:u({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:u({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:u({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:u({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:u({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:u({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:u({},n.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:s(),texttemplate:l({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:a({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:u({},i.showlegend,{dflt:!1})},{transforms:void 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W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function m(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function g(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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n=t(\"../../lib\").extendFlat,i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/fx/attributes\"),l=t(\"../../constants/delta.js\"),c=l.INCREASING.COLOR,u=l.DECREASING.COLOR,f=i.line;function 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E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if(\"color\"===l?(!function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),S(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var m={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(m),N(m)),m}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],896:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":890,\"./plot\":900}],897:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 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);\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 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I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var 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i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{\"../../lib\":503,\"./constants\":893,glslify:227}],898:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],899:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"color-rgba\"),s=t(\"../../plots/cartesian/axes\"),l=i.strRotate,c=i.strTranslate,u=t(\"../../lib/svg_text_utils\"),f=t(\"../../components/drawing\"),h=t(\"../../components/colorscale\"),p=t(\"../../lib/gup\"),d=p.keyFun,m=p.repeat,g=p.unwrap,v=t(\"./helpers\"),y=t(\"./constants\"),x=t(\"./axisbrush\"),b=t(\"./lines\");function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,c=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-c[0])/(c[1]-c[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(c).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],904:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var m=c(\"textposition\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,n,c);var g=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":901,\"fast-isnumeric\":190}],905:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],906:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],907:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":901,\"./base_plot\":902,\"./calc\":903,\"./defaults\":904,\"./layout_attributes\":908,\"./layout_defaults\":909,\"./plot\":910,\"./style\":911,\"./style_one\":912}],908:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],909:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":908}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t(\"../bar/constants\").TEXTPAD,g=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,m.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(m.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(m.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=m.title.text;m._meta&&(i=l.templateString(i,m._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m.title.font).call(f.convertToTspans,t),e=\"middle center\"===m.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=u(t,\"source:\")+\" \",T=u(t,\"target:\")+\" \",k=u(t,\"concentration:\")+\" \",A=u(t,\"incoming flow count:\")+\" \",M=u(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var m=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||\"\",w+m.source.label,T+m.target.label,m.concentrationscale?k+a(\"%0.2f\")(m.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(m.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[m]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),m=h.left-2-u.left,g=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":920,\"./render\":924,\"@plotly/d3\":58}],924:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,m=t(\"../../lib/gup\"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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g=\"projection.\"+d[m];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,h||p||r,{axis:\"z\"}),v(t,e,h||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,h||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":955}],960:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927}],962:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),m=p(\"b\"),g=Math.min(d.length,m.length);if(g){e._length=g,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",g<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":503,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/line_shape_defaults\":942,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":961}],964:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],965:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],966:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),g.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,g),s.extraText=g.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":938}],967:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,m=f(\"geojson\");(\"string\"==typeof m&&\"\"!==m||n.isPlainObject(m))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var 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M=p.font[r]={};M.size=(s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f)*d,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f*d,family:h};return p}function x(t){var e,r,n=t._length,i=t.marker,o={},l=s.isArrayOrTypedArray(i.symbol),c=s.isArrayOrTypedArray(i.color),f=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),m=s.isArrayOrTypedArray(i.size),g=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.isOpenSymbol(i.symbol)),l||c||f||d){o.colors=new Array(n),o.borderColors=new Array(n);var v=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(v[0])){var b=v;for(v=Array(n),e=0;e<n;e++)v[e]=b}for(o.colors=v,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.isOpenSymbol(_)}r&&(y[e]=v[e].slice(),v[e]=v[e].slice(),v[e][3]=0)}o.opacity=t.opacity}else 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return M[t]?M[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?A:-A}),M[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":944,\"../scatter/subtypes\":952,\"./constants\":982,\"./helpers\":987,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],984:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,m,g),g(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/period_defaults\":947,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"../scatter/xy_defaults\":954,\"./attributes\":979,\"./helpers\":987}],985:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],986:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":936}],987:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":982}],988:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 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_=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(m=0;m<T;m++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(m=0;m<_;m++)y.glText[m].update(y.textOptions[m])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else 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R=y.selectBatch[I]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<O;g++)F[g]||B.push(g);y.unselectBatch[I]=B}var N=P.xpx=new Array(O),j=P.ypx=new Array(O);for(g=0;g<O;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(y.select2d||(y.select2d=n(v._glcanvas.data()[1].regl)),y.scatter2d){var U=new Array(_);for(m=0;m<_;m++)U[m]=y.selectBatch[m].length||y.unselectBatch[m].length?y.markerUnselectedOptions[m]:{};y.scatter2d.update(U)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":943,\"../scatter/subtypes\":952,\"./edit_style\":985,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],991:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else c[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{\"../../lib\":503}],992:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,m&&i(r),s}},{\"../scatter/subtypes\":952,\"./edit_style\":985}],993:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/mapbox/layout_attributes\":615,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927,\"../scattergeo/attributes\":969}],994:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function m(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\"none\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\"circle\"===a.marker.symbol,A=w&&\"circle\"!==a.marker.symbol,M=m(),S=m(),E=m(),L=m(),C={fill:M,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(M.geojson=o.makePolygon(r),M.layout.visibility=\"visible\",i.extendFlat(M.paint,{\"fill-color\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",i.extendFlat(S.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var 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n=t(\"../scatterpolar/attributes\"),i=t(\"../scattergl/attributes\"),a=t(\"../../plots/template_attributes\").texttemplateAttrs;e.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:a({editType:\"plot\"},{keys:[\"r\",\"theta\",\"text\"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:i.line,connectgaps:i.connectgaps,marker:i.marker,fill:i.fill,fillcolor:i.fillcolor,textposition:i.textposition,textfont:i.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected}},{\"../../plots/template_attributes\":633,\"../scattergl/attributes\":979,\"../scatterpolar/attributes\":1002}],1010:[function(t,e,r){\"use 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":906,\"../pie/plot\":910,\"./constants\":1052,\"./fx\":1054,\"./helpers\":1055,\"./style\":1060,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1060:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1061:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1062:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1124,\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../heatmap/find_empties\":798,\"../heatmap/interp2d\":801}],1064:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return 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numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||m<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(g,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=c[e+p+t],g=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(m<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,g);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,g);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=g[A+b],h[y++]=-T,h[y++]=g[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));h[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",g.update(v),g};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=m(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],m=i[10],g=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-m*v),b=-(m*g-p*y),_=-(p*v-d*g),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=m;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "font": {
          "color": "black",
          "family": "courier",
          "size": 16
         },
         "text": "<b>My Section</b> <br>Num. of Mesh: | cover--280 | core--239 | total--519"
        },
        "width": 900,
        "xaxis": {
         "autorange": true,
         "range": [
          -0.553598484848485,
          0.5535984848484847
         ],
         "tickfont": {
          "size": 18
         },
         "ticks": "outside",
         "type": "linear"
        },
        "yaxis": {
         "autorange": true,
         "range": [
          -0.5555555555555561,
          0.555555555555555
         ],
         "tickfont": {
          "size": 18
         },
         "ticks": "outside",
         "type": "linear"
        }
       }
      },
      "image/png": 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Section</b> <br>Num. of Mesh: | cover--280 | core--239 | 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                       {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('32b7bb98-eb92-4c39-a79b-e2bcee495a38');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "outlines = [[0, 0], [1, 0], [1, 1], [0, 1]]\n",
    "coverlines = opst.offset(outlines, d=0.05)\n",
    "cover = opst.add_polygon(outlines, holes=[coverlines])\n",
    "holelines = [[0.25, 0.25], [0.75, 0.25], [0.75, 0.75], [0.25, 0.75]]\n",
    "core = opst.add_polygon(coverlines, holes=[holelines])\n",
    "# ------------------------------------------------------------\n",
    "sec = opst.SecMesh()\n",
    "sec.assign_group(dict(cover=cover, core=core))\n",
    "sec.assign_mesh_size(dict(cover=0.001, core=0.005))\n",
    "sec.assign_group_color(dict(cover=\"gray\", core=\"green\"))\n",
    "# Specify the material tag in the opensees, the material needs to be defined by you beforehand.\n",
    "ops.uniaxialMaterial('Concrete01', 1, -25.E3, -0.002, -10.E3, -0.005)\n",
    "ops.uniaxialMaterial('Concrete01', 2, -40.E3, -0.006, -30.E3, -0.015)\n",
    "sec.assign_ops_matTag(dict(cover=1, core=2))\n",
    "sec.mesh()\n",
    "# ------------------------------------------------------------\n",
    "# add rebars\n",
    "ops.uniaxialMaterial('Steel01', 3, 200.E3, 2.E8, 0.02)\n",
    "rebars = opst.Rebars()\n",
    "rebar_lines1 = opst.offset(outlines, d=0.05 + 0.032 / 2)\n",
    "rebars.add_rebar_line(\n",
    "    points=rebar_lines1, dia=0.032, gap=0.1, color=\"red\", matTag=3\n",
    ")\n",
    "rebar_lines2 = opst.offset(holelines, d=-(0.05 + 0.02 / 2))\n",
    "rebars.add_rebar_line(\n",
    "    points=rebar_lines2, dia=0.020, gap=0.1, color=\"black\", matTag=3\n",
    ")\n",
    "# add to the sec\n",
    "sec.add_rebars(rebars)\n",
    "# -----------------------------------------------------------------------------\n",
    "sec.centring()\n",
    "sec.view(fill=True, engine='plotly', save_html=None, on_notebook=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:01.118715Z",
     "iopub.status.busy": "2023-05-06T12:33:01.118715Z",
     "iopub.status.idle": "2023-05-06T12:33:01.482310Z",
     "shell.execute_reply": "2023-05-06T12:33:01.482310Z",
     "shell.execute_reply.started": "2023-05-06T12:33:01.118715Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\">                           Frame Section Properties                            </span>\n",
       "┏━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Symbol    </span>┃<span style=\"font-weight: bold\"> Value                  </span>┃<span style=\"font-weight: bold\"> Definition                             </span>┃\n",
       "┡━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> A         </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 7.500E-01              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Cross-sectional area                   </span>│\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> centroid  </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> (5.000E-01, 5.000E-01) </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Elastic centroid                       </span>│\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> Iy        </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 7.813E-02              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Moment of inertia y-axis               </span>│\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> Iz        </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 7.813E-02              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Moment of inertia z-axis               </span>│\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> Iyz       </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.441E-16              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Product of inertia                     </span>│\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> Wyt       </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.564E+14              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Section moduli of top fibres y-axis    </span>│\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> Wyb       </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 7.813E-02              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Section moduli of bottom fibres y-axis </span>│\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> Wzt       </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 6.702E+13              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Section moduli of top fibres z-axis    </span>│\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> Wzb       </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 7.813E-02              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Section moduli of bottom fibres z-axis </span>│\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> J         </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> -2.457E-01             </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Torsion constant                       </span>│\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> phi       </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.000E+00              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Principal axis angle                   </span>│\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> mass      </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 7.500E-01              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Section mass                           </span>│\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\"> rho_rebar </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 4.586E-02              </span>│<span style=\"color: #008000; text-decoration-color: #008000\"> Ratio of reinforcement                 </span>│\n",
       "└───────────┴────────────────────────┴────────────────────────────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[3m                           Frame Section Properties                            \u001b[0m\n",
       "┏━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mSymbol   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mValue                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mDefinition                            \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│\u001b[36m \u001b[0m\u001b[36mA        \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m7.500E-01             \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mCross-sectional area                  \u001b[0m\u001b[32m \u001b[0m│\n",
       "│\u001b[36m \u001b[0m\u001b[36mcentroid \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m(5.000E-01, 5.000E-01)\u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mElastic centroid                      \u001b[0m\u001b[32m \u001b[0m│\n",
       "│\u001b[36m \u001b[0m\u001b[36mIy       \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m7.813E-02             \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mMoment of inertia y-axis              \u001b[0m\u001b[32m \u001b[0m│\n",
       "│\u001b[36m \u001b[0m\u001b[36mIz       \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m7.813E-02             \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mMoment of inertia z-axis              \u001b[0m\u001b[32m \u001b[0m│\n",
       "│\u001b[36m \u001b[0m\u001b[36mIyz      \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.441E-16             \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mProduct of inertia                    \u001b[0m\u001b[32m \u001b[0m│\n",
       "│\u001b[36m \u001b[0m\u001b[36mWyt      \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m1.564E+14             \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mSection moduli of top fibres y-axis   \u001b[0m\u001b[32m \u001b[0m│\n",
       "│\u001b[36m \u001b[0m\u001b[36mWyb      \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m7.813E-02             \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mSection moduli of bottom fibres y-axis\u001b[0m\u001b[32m \u001b[0m│\n",
       "│\u001b[36m \u001b[0m\u001b[36mWzt      \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m6.702E+13             \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mSection moduli of top fibres z-axis   \u001b[0m\u001b[32m \u001b[0m│\n",
       "│\u001b[36m \u001b[0m\u001b[36mWzb      \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m7.813E-02             \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mSection moduli of bottom fibres z-axis\u001b[0m\u001b[32m \u001b[0m│\n",
       "│\u001b[36m \u001b[0m\u001b[36mJ        \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m-2.457E-01            \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mTorsion constant                      \u001b[0m\u001b[32m \u001b[0m│\n",
       "│\u001b[36m \u001b[0m\u001b[36mphi      \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m0.000E+00             \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mPrincipal axis angle                  \u001b[0m\u001b[32m \u001b[0m│\n",
       "│\u001b[36m \u001b[0m\u001b[36mmass     \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m7.500E-01             \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mSection mass                          \u001b[0m\u001b[32m \u001b[0m│\n",
       "│\u001b[36m \u001b[0m\u001b[36mrho_rebar\u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m4.586E-02             \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32mRatio of reinforcement                \u001b[0m\u001b[32m \u001b[0m│\n",
       "└───────────┴────────────────────────┴────────────────────────────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sec_props = sec.get_frame_props(display_results=True)\n",
    "G = 3.45E7 / (2 * (1 + 0.2))\n",
    "J = sec_props['J']  # or other number if you don't care\n",
    "sec.opspy_cmds(secTag=1, GJ=G * J)   # generate openseespy fiber commands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:01.483225Z",
     "iopub.status.busy": "2023-05-06T12:33:01.483225Z",
     "iopub.status.idle": "2023-05-06T12:33:01.487616Z",
     "shell.execute_reply": "2023-05-06T12:33:01.487616Z",
     "shell.execute_reply.started": "2023-05-06T12:33:01.483225Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "create_pier(sec_tag=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization of fiber section geometry information"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "tags": []
   },
   "source": [
    "Get the fiber section data, note that for parameter *ele_sec* you should enter a list where each item is a element-section pair, e.g. [(1,1),(1,2), (2,1), ....] , i.e. element 1 and 1\\# integral point section, element 1 and 2\\# integral point section, etc. \n",
    "\n",
    "Method :py:meth:`~opstool.vis.GetFEMdata.get_fiber_data` will save all fiber data in *ele_sec*.\n",
    "\n",
    "Since this is a single pier model with one element and 6 intergration points, we can set [(1,1), (1, 2), (1, 3)] \n",
    "and so on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:01.487616Z",
     "iopub.status.busy": "2023-05-06T12:33:01.487616Z",
     "iopub.status.idle": "2023-05-06T12:33:01.499834Z",
     "shell.execute_reply": "2023-05-06T12:33:01.499834Z",
     "shell.execute_reply.started": "2023-05-06T12:33:01.487616Z"
    },
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   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Fiber section data saved in <span style=\"color: #00aeff; text-decoration-color: #00aeff; font-weight: bold\">opstool_output/FiberData.hdf5</span>!\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Fiber section data saved in \u001b[1;38;2;0;174;255mopstool_output/FiberData.hdf5\u001b[0m!\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ele_sec = []\n",
    "for i in range(6):\n",
    "    ele_sec.append((1, i+1))\n",
    "\n",
    "FEMdata = opst.GetFEMdata()\n",
    "FEMdata.get_fiber_data(ele_sec=ele_sec, save_file='FiberData.hdf5')"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "tags": []
   },
   "source": [
    "Visualization of fiber cross-sections by :py:func:`~opstool.vis.plot_fiber_sec`.\n",
    "Since only the location and area information of the fiber points can be extracted, a series of circles is used for rendering."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:01.499834Z",
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     "shell.execute_reply.started": "2023-05-06T12:33:01.499834Z"
    },
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   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "opst.plot_fiber_sec(ele_sec=[(1,1)],\n",
    "                   results_dir=\"opstool_output\",\n",
    "                   input_file='FiberData.hdf5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Of course, you can also use a custom color ``dict``, where the keys are the **OpenSeesPy material tags** in the cross section and the values are any ``matplotlib`` supported color labels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:01.615731Z",
     "iopub.status.busy": "2023-05-06T12:33:01.615731Z",
     "iopub.status.idle": "2023-05-06T12:33:01.754343Z",
     "shell.execute_reply": "2023-05-06T12:33:01.754343Z",
     "shell.execute_reply.started": "2023-05-06T12:33:01.615731Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "opst.plot_fiber_sec(ele_sec=[(1,1)],\n",
    "                   results_dir=\"opstool_output\",\n",
    "                   input_file='FiberData.hdf5',\n",
    "                   mat_color={1: 'gray', 2: 'orange', 3: 'blue'})"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "tags": []
   },
   "source": [
    "You can also draw multiple fiber sections at once, if you have different sections."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:01.754343Z",
     "iopub.status.busy": "2023-05-06T12:33:01.754343Z",
     "iopub.status.idle": "2023-05-06T12:33:02.470357Z",
     "shell.execute_reply": "2023-05-06T12:33:02.470357Z",
     "shell.execute_reply.started": "2023-05-06T12:33:01.754343Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x800 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "opst.plot_fiber_sec(ele_sec=ele_sec[:-1],\n",
    "                   results_dir=\"opstool_output\",\n",
    "                   input_file='FiberData.hdf5',\n",
    "                   mat_color={1: 'gray', 2: 'green', 3: 'blue'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fiber section responses visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "applying the dynamic load"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:02.470357Z",
     "iopub.status.busy": "2023-05-06T12:33:02.470357Z",
     "iopub.status.idle": "2023-05-06T12:33:02.486073Z",
     "shell.execute_reply": "2023-05-06T12:33:02.485394Z",
     "shell.execute_reply.started": "2023-05-06T12:33:02.470357Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# --------------------------------------------------\n",
    "# dynamic load\n",
    "ops.rayleigh(0.0, 0.0, 0.0, 0.000625)\n",
    "ops.loadConst('-time', 0.0)\n",
    "\n",
    "# applying Dynamic Ground motion analysis\n",
    "dt = 0.02\n",
    "ttot = 5\n",
    "npts = int(ttot / dt)\n",
    "x = np.linspace(0, ttot, npts)\n",
    "data = 2.0 * np.sin(2 * np.pi * x)\n",
    "ops.timeSeries('Path', 2, '-dt', dt, '-values', *data, '-factor', 9.81)\n",
    "ops.pattern('UniformExcitation', 2, 1, '-accel', 2)\n",
    "ops.pattern('UniformExcitation', 3, 2, '-accel', 2)\n",
    "\n",
    "ops.wipeAnalysis()\n",
    "ops.system('BandGeneral')\n",
    "# Create the constraint handler, the transformation method\n",
    "ops.constraints('Transformation')\n",
    "# Create the DOF numberer, the reverse Cuthill-McKee algorithm\n",
    "ops.numberer('RCM')\n",
    "ops.test('NormDispIncr', 1e-8, 10)\n",
    "ops.algorithm('Linear')\n",
    "ops.integrator('Newmark', 0.5, 0.25)\n",
    "ops.analysis('Transient')"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "tags": []
   },
   "source": [
    "Get the response data for each analysis step.\n",
    "\n",
    ".. note:: \n",
    "   :py:meth:`~opstool.vis.GetFEMdata.get_resp_step` can be used to get all responses type data.\n",
    "   :py:meth:`~opstool.vis.GetFEMdata.save_resp_all` will save data after loop."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:02.486537Z",
     "iopub.status.busy": "2023-05-06T12:33:02.486537Z",
     "iopub.status.idle": "2023-05-06T12:33:03.341719Z",
     "shell.execute_reply": "2023-05-06T12:33:03.340720Z",
     "shell.execute_reply.started": "2023-05-06T12:33:02.486537Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Model data saved in <span style=\"color: #3369e7; text-decoration-color: #3369e7; font-weight: bold\">opstool_output/ModelData.hdf5</span>!\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Model data saved in \u001b[1;38;2;51;105;231mopstool_output/ModelData.hdf5\u001b[0m!\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">All responses data saved in <span style=\"color: #8e43e7; text-decoration-color: #8e43e7; font-weight: bold\">opstool_output/RespStepData-</span><span style=\"color: #8e43e7; text-decoration-color: #8e43e7; font-weight: bold\">1.</span><span style=\"color: #8e43e7; text-decoration-color: #8e43e7; font-weight: bold\">hdf5</span>!\n",
       "</pre>\n"
      ],
      "text/plain": [
       "All responses data saved in \u001b[1;38;2;142;67;231mopstool_output/RespStepData-\u001b[0m\u001b[1;38;2;142;67;231m1.\u001b[0m\u001b[1;38;2;142;67;231mhdf5\u001b[0m!\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(npts):\n",
    "    ops.analyze(1, dt)\n",
    "    FEMdata.get_resp_step()\n",
    "# save all responses data after loop\n",
    "FEMdata.save_resp_all(save_file=\"RespStepData-1.hdf5\")"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "tags": []
   },
   "source": [
    "Visualization of the maximum response step if *step* is ``None``.\n",
    "\n",
    ":py:meth:`~opstool.vis.FiberSecVis.resp_vis` can accept the *show_variable* as \"stress\" or \"strain\".\n",
    "*show_mats* can be set if you only want to display the response of some materials, the elements must be the material tags that have been defined in the previous opensees commands, and must be included in this section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:03.342720Z",
     "iopub.status.busy": "2023-05-06T12:33:03.341719Z",
     "iopub.status.idle": "2023-05-06T12:33:03.768327Z",
     "shell.execute_reply": "2023-05-06T12:33:03.768327Z",
     "shell.execute_reply.started": "2023-05-06T12:33:03.342720Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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mBwi/za1bt+jZsyfVq1dn/vz5xMbGMnPmTD799FOT31NB6/8Qvnrftov8S/hge4yL/KOZO3euMH78eKF9+/Zmr69bt06YO3euUKFChT/83j///LMQGBgoaDSaApfR6/XC1q1bhZCQECEkJEQICAgQLly4YJInPT1dKFeunDB9+nST9O7duwudOnUy/tvc0SUFISwsLNdjPz7++OMcz3L69OlChQoVBJVKVWDbzDF37twCHQ/yIX36NtHR0UJwcLAQGhpaoOfcuXNnoUuXLiZpw4cPN5ZNSEgQSpcuLUyYMMEkz4kTJ4RSpUoJjx49EgTh3+vX7t27C/3798+RPn/+fCEgIEC4fft2vnW8Rq/XC1WqVBEmT55skr5v3z4hICBAuHHjRq5le/ToIXTq1EnQ6XTGtIMHDwqhoaHCixcv3qn+D+Gr39N2kX8HYgyTyHvTpk0bbt68yZMnT0zS1Wo1lpaW71RXZGQkJUuWzPVPjx49jHnv3r1LiRIlUCgUBa7//v37TJ48mTZt2jB9+nSzeSwsLNi0aRN9+vQxSVcoFGg0mndqz7ug0Wi4ePEijRo1Mklv3LgxmZmZhIeH/2W2/ZE+hXfz62smTJhAzZo1qV69eoHuodFojAffvsbJyYnk5GQAnj17hl6vJywszCRPcHAwBoOB06dPv3O7CmrX38Wv5nB1dQXg+fPnQMF8lZ6eTqtWrWjRooVJXcWKFQMgIiLC7L2SkpK4dOkSXbt2RSaTGdMbNWrEyZMnjYf+vm/9v5eC+OpD2Sby90GckhN5b6pUqULhwoXZuXMnI0aMMKafOHGCunXr8vPPPxe4Lnd3dzZt2pTr9bfjA+7du4dUKqVPnz5cvXoVpVJJkyZNGD16dK5xBF5eXhw+fBhPT89cYxvkcjmlSpUCsmMV4uPj+eWXXzh37hxff/11jvw6nc5sPTKZzDg0/9s8BoPBmCaRSJDJZERERKDVavH19TXJW7RoUSC7w69Vq9Y72fa+/JE+hXfzK2RPr92+fZs9e/bkKmx/S69evRg/fjw7d+6kXr16XLt2je3bt9OmTRsAYzxWVFSUSbkXL14A2ULhbf6NfjVHXFwcUqmU0qVLAwXzlb29PRMnTsxx7dChQwD4+/ubLXv//n0EQcDFxYUvvvjCGJdWv359Jk6ciIODA8A71/9X++p92i7y70EUTCLvjUQioXXr1uzYsYPhw4cbX1AJCQkmQZwFQalUUqFChXzzGQwGHjx4gFQqZeTIkQwePJibN28yf/58Hj16xLp168zGMjk6Or6TPbt372bUqFEA1KlTh2bNmplcj4qKIjAw0GzZYcOGMXjwYOOBrm+zcOFCFi5cCEBISAhr164lNTUVyCkebGxsgOyv7nex7ffwR/oUCu5XyH6m06ZNY9q0aWaDznOjadOmXLhwgdGjRxvTatWqZYxN8vX1pVKlSsyfPx9PT0+qVatGREQEEydORKlUkpmZaWLDv9Gvv+XVq1ds27aNoUOHGkXCu/jqba5cucLSpUtp0KBBrqIhMTERgPHjxxMaGsrChQt59uwZM2fOJCIigg0bNuQag5hb/R/SV+/SdpF/D6JgEvldtGnThgULFvDrr78SEhJCXFwcbm5u71VXbl+L8OZLUBAEFi9ejKurK35+fkD21IqrqyujRo3i9OnT1KlT573u/zbly5dn3bp1PH36lLlz59KlSxe2bt2KhYUFkB1wumjRIrNlPTw8gOwv9q1btxrTBw0aRFhYGJ06dQLevIxfr/bLLWD0tx1Jfrb9Xv5In0LB/Tp+/Hjq1KlD48aN36n+QYMGceXKFUaNGkW5cuW4f/8+8+fPZ9iwYSxYsACJRMK8efOYNGkSQ4YMAbJHMkaNGsXChQuxtrY21vVv9evDhw+Nwd0ajQaNRsOMGTOoXLmySb6C+OptwsPDGThwID4+PkydOjXXslqtFoDAwEBjvurVq2Nvb8/nn3/O2bNnqV27do5yedX/IX31Lm0X+fcgCiaR34WPjw8VK1Zkx44dhISEcOLECVq1avXO9Zj7Enyb11+CMpksx1YAAHXr1gWyh/7/CMFUtGhRihYtSnBwMEWKFKF3794cPHjQ2DalUklQUFCedfw2j1KpxN3dPUc5e3t7IOdXbEZGBpDzqzc/234vf5RPoeB+Xb9+Pffv32f37t3GTlv4/2MudTodUqnUbKd15coVzpw5wzfffEPHjh2NdRYpUoQBAwZw4sQJwsLCcHV1ZeHChaSmphIbG4uPjw9SqZTJkycbp4Pg3+tXb29vRo4cmWeegvrqNXv37mXs2LEUK1aM5cuX5zmK+1qY/DaO7LVIunv3bg7BlF/9H9JX79J2kX8PomAS+d20adOGH374gUmTJqHRaN7ri/i3X4K/5fULNyYmhpMnTxIaGoqnp6fxulqtBrKDfd+XhIQETp06RWhoqMn00+uXa3R09HvXnRc+Pj7IZDJj8O1rXv+7RIkSf7ltf4RPoeB+PXjwIElJSdSqVStHnsDAQIYMGcLQoUNzXHv58iUAlSpVMkkPDg4GskdWwsLC2Lt3L35+fpQqVcrYOd68eRO9Xk+ZMmXeq2358Xf0a14U1FeQvbx+xowZBAcHs3DhwhxB97/l9bTfbwPZX4vj3y4oeNf6fy8F8dWHsk3k74O4Sk7kd9OsWTM0Gg0LFiwwBrDmxvz58/npp584evQoHTt25JdffgHefAnm9qd48eJA9gt34sSJOYJT9+3bh1QqzTHF8C5kZmYyduxYtmzZYpL+ehVVyZIl37vuvLCwsKBKlSocPnzYOKoC2SLC3t6ecuXK/eW2vYtPDxw4QNWqVdmxYwcA/fr1Y+bMmUDB/TplyhS2bt1q8icsLAw3Nze2bt1qnEL5La/Lh4eHm6RfuXIFgMKFCwOwaNEilixZYpJn1apV2Nvbmx2x/CP4O/o1Lwrqq40bN/LDDz/QpEkTli9fXiDB4Ofnh7e3N3v37jVJP3r0KJC92OA171P/76UgvvpQton8fRBHmETei7eX0Nrb2xMWFsahQ4f44osvjOmCIJi8fADKli1L3bp1OXjwIIULF6Zdu3bvdN8iRYrQunVrli5dagxSvXz5Mj/99BMfffSR8aUeHR1NdHQ0ZcqUQalUFrju1/E7UqmUoKAgbt26xaJFi6hVqxahoaHGvBqNhmvXruVaV0BAgElsDJDnjtWDBg2iT58+DBs2jPbt23P16lWWL1/OyJEjsbS0fCfb3pf39WmTJk14/PgxWVlZADRv3ty4Qq2gvPbb2zg6OuaYUvmtX8uUKUPjxo357rvvSElJoXz58jx69Ih58+YRGBhIw4YNAejRowf/+9//KFGiBJUqVWLfvn3s2bOHyZMnm0y3/Bv9+lt//R7i4uKYNm0a3t7edO/enTt37phc9/HxMQbs/9ZXo0ePZvjw4QwfPpyOHTvy5MkTZs6cSePGjY2jfO9S/1/tq3exTeRfygfY+0nkH8zRo0eFDh06CAEBAUKHDh2Eo0ePCoIgCKdOnRJ++uknQRAE4fnz58LQoUOF4OBgISAgQOjatauwZs0aYx0RERFC27ZthbS0NCEpKemdbVCr1cL8+fOFRo0aCWXLlhXq168vLF682GRDvLlz5woBAQFCREREjvIXLlwwu3GlIAhCVlaWsHDhQmPdYWFhwqxZs4SsrCxjnjFjxggBAQF5/nmfTewOHToktGjRQggMDBTq1asnLF++/J1tM0d+Gxz+ET5NSEgQ2rVrJ0RERAiXLl1657abw9zmhOb8mpWVJcyePVsICwsTAgMDhYYNGwrff/+9kJ6eblJ21apVQoMGDYTy5csLbdq0EXbv3p3jfv8mvx4/flzo16+fUKZMGaFMmTJCv379hEOHDr2z/W+zZcuWPJ/Ptm3bTOz7ra+OHTsmtG/fXihbtqxQs2ZN4bvvvjNpZ0Hr/xC+epe2i/w7kQjCH/j5ISKSDzqdjt69ezNmzBiCgoLYsmWLMVhX5M8hvzPH/ijGjRuHQqHgq6+++lPvI5LNX+VXERGRbMQpOZG/lAULFmBjY0NERASHDh0SYwD+RXTt2pX79+9/aDNERERE/hREwSTylzJs2DDj3//MjflE/jrCw8MpWbIkUVFRf9jWBiIiIiJ/N8QpORERkd/FrFmzKFSoECVKlPhdqxRFRERE/s6IgklEREREREREJB/EfZhERERERERERPJBFEwiIiIiIiIiIvkgCiYRERERERERkXwQBZOIiIiIiIiISD6IgklEREREREREJB9EwSQiIiIiIiIikg+iYBL54Fy5coVLly59aDNECoDoKxERkf8qomAS+eDcvHmT0qVL/yl1v3r1iipVqnDx4sV3LjtkyBDq1av3XvnGjh1LyZIlc/1TtWrVAtlw6tQp2rVrR/ny5QkLC2Px4sW5nj7/Lm2dN28ePXr0KJANb/Nn+uo17+szc364ePFinn6YP38+8O/117ug1+tZsmQJDRs2pFy5crRq1YqdO3cWqOy1a9fo0aMHFSpUoEaNGowZM4aEhASzefNq9x/hh4L4QBAENm3aRMuWLalYsSL169dn6tSppKenF6i9Iv9NxKNRRD446enpf8qZclFRUfTt25e0tLR3Lrtz504OHz6Mt7f3e+dzc3Mzdsi/RS7P/7/elStXGDx4ME2bNmX48OFcvnyZWbNmYTAYGDRokEne39PWd+HP8tVr3rcdufkhMDCQTZs25cg/e/Zsbt68SfPmzY1p/0Z/vQszZ85k9erVfPbZZwQFBXHy5ElGjx6NVCqlZcuWuZa7desWPXv2pHr16syfP5/Y2FhmzpzJp59+ysaNG03yFqTdv8cPBfXBsmXLmDVrFn379qV69eo8f/6cOXPm8PDhQ1auXIlEIsnzPiL/TUTBJPKvw2AwsH37dqZPn/5e5WNiYpg6dSqenp6/K59SqaRChQrvZQNkH1RcqlQpfvjhBwBCQ0PR6XQsWbKEPn36YGlp+bvb+nfh97QjLz/Y2trm8MGRI0c4f/48c+bMoVixYsb0/7K/MjIyWLduHb169aJ///4AVK9endu3b7Nu3bo8BdP06dMpXbo0CxcuRCaTAdnPferUqURERFCkSJF3avfv8UNBfbBkyRI6d+7MF198AUCNGjVwdHRk+PDh3Lp1i6CgoPe6v8i/G3FKTuSDkpaWhr29fYHyRkZG5jlc/3rK4v79+0yePJk2bdq8V8c0YcIEatasSfXq1f+QfO+DRqPh4sWLNGrUyCS9cePGZGZmEh4eDvz+tr4L7+IrKLi/4Pe14138oFar+eabb6hbty5NmjR5p/vkxd/RX68piB8sLCzYtGkTffr0MSmrUCjQaDS51p2UlMSlS5fo2rWrUSwBNGrUiJMnT1KkSBHgr2l3QX2Qnp5Oq1ataNGihUm+1+I5IiLiT7FP5J+POMIk8kE4cuQIZ8+eJSkpCS8vL77++mt69uxJ0aJFcy3j7u5udnrlNba2tgB4eXlx+PBhPD093zkOZsuWLdy+fZs9e/bk+WIvaD6dTmc2XSaT5TnsHxERgVarxdfX1yT99fN59uwZtWrV+l1tLSjv4ysouL/g/X1WUD+8ZtWqVcTGxrJ69Wqz1//p/lKr1WzatIknT55gYWFB3759C+QHuVxOqVKlgOz4nvj4eH755RfOnTvH119/nWvZ+/fvIwgCLi4ufPHFFxw7dgyA+vXrM3HiRBwcHIB39+/7+KGgPrC3t2fixIk5yh86dAgAf3//fO0T+W8iCiaRv5yvvvoKZ2dnJk2axNKlS/n444+Ji4tj4MCBrF27NtdRjIIO1Ts6Or6XXVFRUUybNo1p06bh7Oz8h+QLDAw0e23YsGEMHjw417KpqamAqagAsLGxATAGp75vWwvK+/oK3m1q5X3aUVA/vEaj0bB27VqaNWtmVuz90/2VkpJC9+7dadeuHVOmTDG59i5TXLt372bUqFEA1KlTh2bNmuWaNzExEYDx48cTGhrKwoULefbsGTNnziQiIoINGzYglUrfqd3v64eC+sAcV65cYenSpTRo0EAUTCK5Igomkb+UpUuXEh8fz6RJk4DsL0m5XI6Xlxe+vr4cO3aMNm3a5Fo+ty9PAIlEYjIt8C4IgsD48eOpU6cOjRs3/t35IDt4ddGiRWaveXh4ANmxOwaDweSaXC43puX2NS2V/vmz6b/XV6/L5MZf4a+3OXDgAPHx8XzyySdmr//T/TV58mQ8PT1zTKvBu/mhfPnyrFu3jqdPnzJ37ly6dOnC1q1bsbCwyFFWq9UC2cH1U6dOBbJjn+zt7fn88885e/YstWvXfqd2vK8f3tcH4eHhDBw4EB8fH2MbRETMIQomkb8MtVrNokWLWLNmDZD9xf/2SzgrK8v4xWqOyMhI6tevn+v1kJAQ1q5d+162rV+/nvv377N7925j5/J6KbJOp0MqlSKVSgucD7JHWPILHl2wYEGOFUH37983jtz89qs4IyMDyPkV/Ufze30Ffw9/vc3Bgwfx9/c3Tj39ln+yv2JiYti3bx9169Y1dvqhoaHUrl37nf1QtGhRihYtSnBwMEWKFKF3794cPHiQVq1a5Sj7evQmLCzMJP21SLp79+47C6b39cOePXuAd/PB3r17GTt2LMWKFWP58uV/+oityD8bUTCJ/GU8ePAAg8FA2bJlAbhx4wblypUDsju5a9euMWDAgFzLu7u7s3Xr1lyvv355vw8HDx4kKSmJWrVq5bgWGBjIkCFDGDp0aIHzFZROnTpRt27dHOk+Pj7IZDKeP39ukv763yVKlCjwPd6H3+sr+Hv46zVarZazZ8/mOrpUUP6u/nr58iUAU6ZMybFasCB+SEhI4NSpU4SGhuLi4mK89lq4REdHmy37Ol7ot4Hhr0WspaXluzWkgJjzw7v6YNmyZcyYMYPg4GAWLlz4p26XIfLvQBRMIn8Z9vb2WFlZGf9948YNunXrBsDWrVspX748Z8+e5eLFi/j7+/PTTz/RtWtX2rVrBxTsy/N9mTJlivFL9DULFizg1q1bLFq0CHd393fKV1A8PDyM0wxvY2FhQZUqVTh8+DB9+/Y1TjMcPHgQe3t7o3j5syiIrypWrMiBAwf43//+x7hx42jTpg39+vWjdOnSfP75538Lf73mwYMHqFQqKleu/Lvu+3f1V+HChZFKpWY3ySyIHyIiIhg7diwjRoxg4MCBxvTTp08DULJkSbPl/Pz88Pb2Zu/evSarHo8ePQpAlSpV3rktBSE3PxTUBxs3buSHH36gadOmTJ8+HaVS+afYKfLvQhRMIn8Zvr6+lCpVitOnT1O7dm3UajUWFhYcPHiQ/fv3M2/ePK5cuULdunU5ePAghQsXNoqlP4Po6Giio6MpU6YMxYsXz3Hd0dExR2dT0HyQ/dV97dq1XO8fEBCAtbV1rtcHDRpEnz59GDZsGO3bt+fq1assX76ckSNH/mlf7q8piK8AmjRpwuPHj8nKygKgefPm+cY1vS/v46/XPHjwAMju4HPjn+wvNzc3OnfuzI4dO4wbNP76668EBwcXqHyRIkVo06YNCxYsQCqVEhQUZBSftWrVIjQ01Jj3bT8olUpGjx7N8OHDGT58OB07duTJkyfMnDmTxo0bU6ZMmXduy+/xQ0F8EBcXx7Rp0/D29qZ79+7cuXPHpA4fH58CLSIQ+e8hCiaRv5RZs2YxZ84crl69yvXr15k5cyYuLi4sXboUpVJJ3bp1iYyMZPHixaxZs4bk5OQ/La5gy5YtzJ8/n6NHj1K4cOE/vP64uDg6d+6c6/WtW7fm+eVfvXp15s2bx9y5c/n000/x8PBg9OjRfPzxx3+4rebIz1ev6dq1K/369aNmzZr57oz+e/g9/oqPjwcwLnM3xz/dX5MmTWLr1q0sW7YMQRAICQl5p/Jff/01vr6+bNu2jXnz5uHm5kbPnj0ZPHiwSSD1b/3QpEkTFi1axIIFCxg4cCAODg506dKFESNGvFc7fo8fCuKDkydPolariYqKMo6avs20adP+1A81kX8uEiG3g45ERP5Ebty4QVpaGjVr1jRJ1+l09O7dmzFjxhAUFMSWLVvo2LHjB7Ly38u8efO4dOlSgYKuc/PV24wbNw6FQsFXX331R5op8v+8i79ERET+HMSdvkU+COHh4WbjSRYsWICNjQ0RERH8+OOPJCUlfQDrRN4mN1+9TdeuXcXjJERERP7ViFNyIh8ErVZrNq5j2LBhxr/ntWGeyF9Hbr6CbDFVsmRJoqKizC47FxEREfm3IE7JiYiIvDezZs2iUKFClChR4nevQBMRERH5OyMKJhERERERERGRfBBjmERERERERERE8kEUTCIiIiIiIiIi+SAKJhERERERERGRfBAFk4iIiIiIiIhIPojbCvzHiYtL+9Am/KlIpRKcnW1ITMzAYPj3r2/4L7X3v9RW+G+197/SVjc38cDffxLiCJPIvxqpVIJEIkEqleSf+V/Af6m9/6W2wn+rvf+ltor8cxAFk4iIiIiIiIhIPoiCSUREREREREQkH0TBJCIiIiIiIiKSD6JgEhERERERERHJB1EwiYiIiIiIiIjkgyiYRERERERERETyQRRMIiIiIiIiIiL5IAomEREREREREZF8EAWTiIiIiIiIiEg+iIJJRERERERERCQfRMEkIiIiIiIiIpIPomASEREREREREckHUTCJiIiIiIiIiOSDKJhERERERERERPJBFEwiIiIiIiIiIvkgCiYRERERERERkXwQBZOIiIiIiIiISD6IgklEREREREREJB9EwSQiIiIiIiIikg+iYBIRERERERERyQdRMImIiIiIiIiI5IMomERERERERERE8kH+oQ0QEdFoNJw6dZzo6GhsbW0JDa2Ls7PLe9eXkZHBgQN7iYmJwde3KF27dnznOp48ecz582fRarWUKOFPjRq1kEr/nd8XMTHRnDx5HLVaTeHChQkNDUMuf7dXQ1JSIvv37yUlJYWSJUtSp049ZDLZe9nz5Mljjh8/QlaWhpIlS1K3bv33qis1NYV9+/YQGxtLoUKFaNq0BTY2Nu9l06NHDzlx4igGg4GaNUMJDCz7znXcu3eXK1fCMRgMlC5dhkqVqiCRSN7Lnr8ryclJ7N+/l6SkJAICAggLa/DevwOAp0+fcP78eXQ6HcWLl6Bq1Wrv/MxUKhUHDuzl1atXeHt707hxMywtLd/bJpH/LhJBEIQPbYTIhyMuLu2D3dtgMDB//kyWLJ5DIQ8pJYrLSUwWuHQ5jVatWjN5yg84Ojq9U50bN6xl4qRRBJZR4lccbt+ByEiBOXOXUb9+43zLP3nymLHjPiU8PJzqtWyxsIAbVzXI5Q6MH/ctrVq1fd/m/ukYDAYUChnOzrYkJWWg0xnyzB8bG8vYL4dz5PBhAoLdsLST8upBBllpEoZ/Npq+Hw/It3MSBIFZs6czZ+6P+FZyw9ZDSeTVZKRaJcuXrKdSpSoFtj8+Pp5Ph/XjwvlzFKtVGLmNjJhrCUiyZPz4/VwaNmxikl8ul+LkZJOjrYIgMG/BLH788Xvcg7yw8rYm41kaiQ8T+N/Er+ndq2+BbUpPT2PAkE84ffokntWLgVRC7IVnlA+qwMqlawsk7K9fv8roCSO5d+8uzhV8QSoh5VYEnm6eTP3fNMLC6hfIFrlcioODFSkpqnx9+0dhMBgK9KEgCAKz585k5qzp2JQqDk526B5GYKmHlUtWERxc9Z3u+/jxA8ZMHMPF8+exLeUPchnqpxE429kzefxkWrZsXaB6tm3bwsgxI1B6eSJxd8UQHYsuLp65M+fTokWrd7Lpz8DNze5DmyDyDoiC6T/OhxJMgiAwbNgn3L99iEXT7Qmu8OaLL/Klli+/S+PyTQd27jpeYNF08OB+RozozfrVNlSsoDSmHz+pZsBgFRs37s2zA3/y5BEtW4bRqTv06meFjW12R2EwCJw+nsWk0SrGj/ue7t1751rHzZs3WLFyAbduXcHewZGO7XvTrl1HlEpljryCIHD06CHWrFtMVNQLivoUp2ePgdSpE8b161dZvmIBt+/ewMXZlS6d+tC6dTuzIz8nThzjhx+nEH7pGlbWFnTp2plRX0zCxcUtVztjY2Np2qIOxWrIaTjYBzsXpdGmp1dT2DLhMe1b9GTSxG9yrQNg6bJFzFnyHZ0XVMTZx9ZYx43dkRyb8Yhjh8/h41M0zzogW5g0alYX60AZ1YYFobRRGOt6dvolJyb/yrKf1lC/fiNjmdwE08JFc5m7bBbVfwjDwdfRmJ54L55zo4/z9YRpdO3SPV+bADp2bcMT/UtKj6mD3Dr7GemzdDyYexa7VzIO7T2ep6D49deLdOzaDs8eIbg3DUJmkd0ug05PwqkHRCw8wYJZP+XZeRsMBpYtX8LCJfN4+TwCVy8P+vXpz5BPh6NQKEzy6nQ6Nm5cz4r1K4mPiyMgoCSf9vuUsLD6HDy4n0XLF/HkyWM8vbzo2/1jOnTonGMEKCsrix9nTWfV2pUkx8VTuHgxhg0aRs+efXIV0CtWLuOb2d/h8Hl3FF6uQLbvMs5dR/XzAY4fPo2vb7H8Hzhw+/YtWrZtiiKsOjZhNZBaZb8bBIMB1Y27ZPy8k/+Nm8THvT/Js54TJ47R65Oe2H/SE8vivsZ09YNHpKxcz+b1W6hWrUaBbPqzEAXTPwtRMP3H+VCCaceObcz4fhgX9rniYJ9zyF4QBHoPS0JQNGDW7KUFqrNJ46r06/uK9m2tc1ybvyiDy1dDWLFiK2fOnCI8/BIKhZLGjZvi7x8AQLt29alU/SEDhuYsD3D/rpYe7VK5ePE2bm5uOTqPTZvW8+WEEbTpbkOVmgrionVsW63FwSaAjRv2YGVlZdK+0WOGcvjodlp/bINvgJJHt7PYtSqD0iUrcfVaOE17OFAm2Iq4l1r2rU7HxzOItWt+MRFf+/fvZejwvnQa7Unlhk6kJ+nYvyyOx5ekHD54Nlex+cmA7iRZXqf9pBJmr6fEZjG7wzXWrPiFqlWrkZiYwLZtm3n+4hnubh60a9cRDw9PylX0p83MMhQu75yjjv3f3KGic0O+nvK92Xu8zcKFc1h7eBlN5tQw2yk/PhbB7Z+e8+u5m8br5gSTSqWibPkS1JrXACf/nKM/MZdfcnPqZa5fvpfvVNH161dp07kltTZ2Q2ZhKlQFvYELvTazZOYyQkKqsXv3Dm7evI61jQ0tmrcmKKgcer2eiiFlsetWAff6ZczeI/VWJI8m7uLW9fvY2dmbzTN63BfsOLEP14/rYF3KG9WTWBJWn6KaXzlWLV1rzKfT6fioZ2euvbiPTasQlIWcUd15QdqOi5QNKMPtx/exaV0NS//CaKLiyNx1kZpBVVixeJVR9AmCQIeu7biZEIFt5zCUhd1Q3XtB+trD9GrXlU7tO7Nq7QoePHmEp5sHPbr2oEqVEIIqlUHZrxWWpXKKotS1e2ldpCzff/tDns/79f1DalYhLaQstmHVzebRvowhcfoiTh07R7FixXOtq1GLhrwo4YNdjZyjW2knz1AqNoUdW3bma9OfiSiY/lmIguk/zocSTK1a1mbAR9H07GS+kwB4EaklqO4rrlx9YNLxC4LAxYsXuHr1MgDlypXH378kVaqU4tFdN5TKnB1uTKyeisFxBJQsTlpaNGH1pKgyJRw6qKZOnXoMH/4lbdrW59glJ6yszI8YJMTr6dcthbhYGclJmVjbWNK0aVP6ffIZXl6FqFotiAWbXAgoa2Eso9MKjO6bTO2Q/owePcGYvn//XsZP6s/s7V7YOb7puJPidAxo8oSeo71o0OlNh58cr2Vcx2dYKpywtLLCr3gAPbv3Y9SYIbQdbUOl+qbPZ/6Q5zQKGcCwYSNzPouYGIKrluXLg8HYuVrkuP6aQ4ueo4gMpEa1OkyeMh7/6u64BliQEqnlztFXNGvSkjPhxxiwu6ZZkRNxLZHDk55y/PAFrly5jE6npVSpMhQuXCRH3irVy1Lhcz98qnmZtUUwCGxqd5Dl89dTvXpNwLxg2rt3NxNmjqXOUvPTr4IgcLjLLpbPXWOs5zWZmZlcvvwrWVlqihf3Y9u2LWx9tI/Sw0PN1vVw5UX8Ytw4d/EsVkWcsCzvgSFNQ8Lxh1SrWp1unboz8uvRlF7SPc+pzccTdjKsTX/69u2f49rz58+oVbcq/ksHoHB4E3+lV2l41H8J3076llPnTnH73h3UGRkkGFQU/v5jpMo3Ak8Tk8zjoQso8r+eWJV6M9qnjU8haswyCnl6obSwoELZclSpUJkpM7/F/YdBSJUKk7yRw+cgVyqxqVMJma8X+thEsk5cpVJgea7evYnLjOFm25n1OBLdkp1cvXidQ4cO8OzZUywtLahbtz4lSvib5D179jTdB/TG+esvkOQxcpf28w46larM11Ommr+eloq/vw/eM75BamZ016BSETl6EhERcWZHf/8qRMH0z0IM+hb5y0lOTuLylVt03OCbZz69Afz9LNm4cT0DBnyKRCLhwoVzjBkziNSUWMLqKpFIYPkyLQpFtvD6zQyFEbkM5HIDjRrHMXSYDVJp9ov9f19Z8NmnZxk9ejChYda5iqWH97X065ZAhaqWjPrGluIBzqQk69m77TidOu+nWtW61GpgYyKWAOQKCR8Pt2LS4KUmgmn12kW0+8TGRCwBOLnJ6TjAmWtn0oyC6cUDNZN7P6FIgBVhHS1wcJHx+OZNhn7ek9QkFWVrVTCpQyKRULOdA/tX7DArmPbt20OxCk55iiWASs3dmNn+ICdPH+OTdSF4+L95uTeI82N5j0PIlNJcxYDSSkZSUhJBFQJw83VCppQRfT+OkGpV+WrS9xQuXJjdu3fy4sVzIp5E0KRs7nEuEqkEt1LOnDp1Aq1WS+HCRQgI8Ofly5fMnjOPHXu3o8rMxMbGBoPMgEFvQCrL6UuJRIKFiyXffv81Xt6FqBFckxYtWjJ77kzWb1iLjYc9ChsLEh/H4OTkBP65B4nrVFqOnjhCyfFNcK3hZ0z37VeTu98e4qtpk7EL9cv1+Qh6A+kPY5AVdWTz9k18/HG/HHmPHz+KUxV/E7EEILNSYlO9BKPGfY5z62pYdShP9PJDuLavZSKWAJQejjiEliXj2mOjYMp6EUPE12ux8PVAVa88Ghsrjt5+xi+TtyH38TARSwCayFgECwVu3wxC4fZGnBua1ODK5KUYpOTaTomlgoz0dMqUD0Dq7IDUxwvUGqZMnUKFipVYOGcRRYr4oNFoWLtuNfLKZfMUSwDKkArs3rTbRDAZDAZOnTrBynWrePb8GYJEgiSXxQsSpRJBENi1azuJiQlYW9tQt249s2JeROQ1omAS+cvJyMjA2kqeqzjZeySD7+Ymcvt+Fs7OMmbPmsy6tT/RoEFr1v+8jGlfWdKujQNyefYLWq8X2LlHxbAv9CxanM7ggTm/2r77IQ0/PyWfDbc0ebHb2EiZNceSasG3cfcy3zlmqQUG9U6kz1AHOvR8MyJmay+l/wgFDZpb0rfdYXoPNR0t0+kELpxQcf9WFjHRydy9e5vSpQOJiYnh7t1btBxkfnTNr7Qlpw+k//+9DXz18RPaDPKkUTcPY57SIXY06OrK1z0esG1WJF3Hvhk5EASBZ7cziIiIJaR6GaysrGjdohN16tRn4eJZ7N+3n5I1HM3e+20sbeWoVVk0n1jKRCwB2LlZ0urrMqzuf4nkqEwcvXNOY949Fo3SXka7RaE4eGc/26w0Dde3PKFxs7pggMIVPbErbo1ULkGdmoXS1rzifXDwOU8uRbD46kI2HVxPYkQiRQoXIeJ5BN6hRSkyoDhKewsSbscSuS6KE58fJPT7hsgtTV9xBp2BuEexWDV3RuUZQ/iWuXw5eQwuQd5UntsKW9/sqUW9WkvkgXvcW3iGuPAXuFXxyWFT7PEneDUrayKWAGQWCvxGN+BCpyV46txzlBMMAi9/uczLHZcBCXI7S2JepVC7fg1GDx8DCCxdvYwXL54jlUnJlGjQqzXILE1HQgxaHQ5NK+PWtU52gt6AwtP8FKyykCuamGRjucip63FuF4pj4zci1bqcH7YNqxAxfgnpF25hW+3NSsCUfedxbF/fRCwBSK0ssO3WmNgZ69BGJ6DwzDkNqrp8F41eh/3Qblj4vXmONuosHu47RcNm9WjTsh1bt29BlaXGpmlds20wua+NNZkZGaxZs5LIyAgcHBw4cuIY1+/fQVk9GFn1SkifPUF97wFWZUrltOnmHaSWlnw5azpSN1dQZzH2y9HUCq3L7B9m4+lpfqRT5L+NKJhE/lIEQcDW1o4sjYFXMTq8PEx/gvOXJ/HtnES++tKR9q3csLSUoNcLHDyaySdDFzDjewfatTbtnGUyCe1aW2NpIWHwsGQ6d7TGxeXNyM2rV3p279Xw2Qgrs1/B9g5SQuvYcCVciyAIOfIc2KPCo5DcRCy9TfEAJRVDFNy7oTGmXT6n4puR8djaSylXzYa6Le1p0TIMV1cXXr2KxcFZytN7SkpXtMpR35N7WbgVyu4cz+5NxtXbwkQsvcbSWsaQH4sxtvUd2gwpjJWtDEEQ+HnaC87tSqDhx4UpWdWRjBQtx7atZObs76jU3JPu35di//wnZtv6Ni8fpCO3kBLY0NN8u4NdsLa3YP/Xd+g4pyJyizfPPOZBKhdWPzYRSwAWdkpCPi6F0lbOlZ8f0XhudSQSCRnxGdzf+5TgfkE57nNz60MuLblFrf/VonCNwkikEnRqHY/2POLJgif4ti2BW1D283Eu5UrxliU5Pe4I4T+cpdrEOiZ1Pd3/EGsvewIHZ8dK6VQ6MrKyqPBtM6TyNwJeZqmgaJsgLN1suDb5APV39EUqf9O+yL13UKepcGtY2uyzkdtY4FrNj7SrEdDnTbpgEHj4w34ynsVT7POW2JYtgkQiwaDTk3T6HgOH9cfSxR7ntsHYd2iAJiYF3bbz3B+2Av/ve6BwzH6WujQVyefuU2xqrzfP1sedzDvPsQ4onMOejOtPsKlSEoD0C3eRO9mZiKXXKFwdcO3eiKTdZ00Ek/phJM69zQemWwWVQCqXkb5mDw7DPzIZndJExZC86yTOfdqZiCUAqaUFdu0akpiRydodm3Ee2A3JjXtoo+PM3udttDFxpKanMXXtUgwebqhv3QVLS9xHDzfeX9+kAUnb96D0KYLM9q3pzNRUErftwr5eXRwbNTSm22Rkcu3IURo0DuPIweOiaBLJgSiYRP4S4uLimDfvBzZvXkdiYjr2dkq6D45m55pC2Npkd1Q37mQx5cdEjuz0IKDEm5euTCbBylKKs7OENi1zCozXNG1siZurgmq1k+jb24rixSXcug0bN6vxLuyDQh6fa1lLSxkZGVqu/KqhcojpVNW+XSpadrLNs31DxjrSvdkrHt11QKcTGD8wls+/86JmY1ujKFFlGpg59hUKWxnt+rmy9sdYQpvbY/tW0HtKoo4tixPoMTr7ZX3paCq1Wue+dN3L1xI3bwvWf/uc1oO9Ob8nnksHkpi4uzL2Lm9GJMrUcubEz1YcWfWSDpMC2PnDIx79mox/SO4rEC9siMWgA5ki2z9ZmTpu7H3JyzspyC2klK7niaO7HVYqN5a2O0dQW0/s3C2JuprK1V1PqdqvNIXKuZqtu1y74lxacY9X1+IoVNGd8l1LsuuzExSrWxhX/zc2ZaVpODfnKk2XNsPZ/01gudxSTqkOpZApZVyecY7Gq9oYn7NMKaPaxDrsbL2Bsp9UwtbLDp1ax5M9D7i+OJxq05sjkUgQ9Aae7bxF0JgGJmLpbdxrFMPC2YaLn2yhUNtApDIpiadfkPk4CWtLK2SWucwBAwo7S+LOPkKXpkZul73SK+7oHdIexFB6Zk9k1m9+Z1K5DFVEPJZ+HvhN6WKcVrMu4YVDjZJEzNvHk6+2UGx8O1RPYohadgT76qWw9H0jpF1aBPPi+63YBZfCwvvNbyb1wl0y7zzHoVEwABnXH2NbPTBXu22rlSFm3jbSf72LpZ83qjvPQK/HkKk2m1/Q6hB0OgKdvLgxfgGK2hWQuThgeBRJypkrWBUphG1I+VzvZ98ijPSzl5G7OGNdrRLR38zBqVMLpHnslZR25DS2oTWwb90Ug0pN6qlzeI0ZYSLWbGtVR/sqhpffTMe2WjCKQl7oX74i5fR57EKCcWzYwKROmY01Dq1bksIuPh/9OT+v2ZDr/UX+m/w7d+IT+VsRExNDi+a1SU/YzLGtzmQ89WP/BnfkcqjRPIL0jOyA3YUrk+n9ka2JWHrN+V+zaNzA0hh7ZA6JREKr5gqsrR04fsqHX3aWAWknTp/+lZDgMHZsV5ktp1IJnDiRyaCBwxk7TMWLZzqT66kpBty98l5RVTxAiVwu47OuCXzzRTxdBrtQq4mdyQiOlbWUsTMLockSkCsklK1qzbA2z9i7Polbv2ayY1UCw9u8omxgCOumJ7BlfizJ8Vqs7fK+t6u7LUkP3Jnc9gH7l8XS5nNfE7H0mjpdC6FQSrh3NoGGA3zZOOEuydHmO8HzW17y4poKJydHnl9N4vGFeGY0PMbNQ9HYF7ZDaqVk25fXiXmeyMJ5K1jw4yqcY4KIPWiF7qkDNi42VOuXe6cslUspXtuLl1ezRxM8yrpSc1hFtvc/yrm5V4l/mEzqy3ROz7iMa6CbiVh6G79mfqgSMkm6n2CSbuloiWdlbw58tINjvfaxrck6Hu19SPUZLXEJyhajqrgMNGlZOFfwztVOiURCoQYBOErtsTyXicdtJUNaDyT8wnVc3d1IuPjEbDlBbyAlPIIaNWvx7PuD6LO0ALzaeRWvLjVMxBJkT5PF77uK9ycNcsQgSSQSvD9pgPppDI8GL0O3PhxdbCpeg1oY82jiUpBaKnFtXY2nXywhctYvxG05Rew3m0hedIBJ46eQ9NNeEqZvISsiBsn/rxDUp2WifvISXWLqm/vJpCCRINt6juiRC3E59ZDaNWqjPnXNbFszzl0HpYI+3XuzesFy6kld8L35Es/YDCysrdAJelIPnkafkWm2vNzJHoW3J5oXUSjcXbAs7U/i2l8QDOb3mko/F442MhqHRmEAZD19jsLDHYWbqTiXSCQ4d2qL++B+ZF27hceNe8hvP8Chbigu7dvmOrpqW78ep04e49Wrl2avi/x3EUeYRP50pn07gYa1s1g0/c1Xb7XKVuzf4E3TrlG07vWKtfM92HM4g+0/m987yGAQkMnz3+FXrpAQWDYFJycN+/aqKF8+BJ1Ox7Zt65DJdWzelEmnzm+m9PR6gYnj06lcOZiRI8dhZWVBx2bf0qy1NQ2aSrGwkJCZKbBlTRrzpyWjUhkIqmhB1772BAS+ESWJ8XoMBgkLF6ylV+/ONOviaNY+mVxCi66OHNuezPiFRbhwOI1Dm5PYsz6JxFgDQwdPYOjQ4YSHX2LZivnER5zgzoV0ajQ3Lxg0agNP76Sze+ceAgJKUqiQE+XCzI9ISSQSyoW58OxaCs2H+5ESk8WM9peo2bUwlZp7YG0n5+WDDC5siiPiWiabN+7m6LFDrJ42n/jIFNp8V4UStd9Mz9UZVIo9k64xetxnzJqxkOcvnnP79k08A52QyPNffCuVS+GtRbplWvvhXtqZi4tusK3PYRRyBRYWFvi2982zDucAF1IjUnAuZdphWrlZo9PqSI5MQtALVJvWDEvXN1MzgiAgkUry3ZxTIpMQL6SSGpfJ8+fPad+yI3v37iYmPgbdple41fbH0sN0ujZyy2XcHFxYt3oTPft248aQjdg3KkXGoxgCauaMqcl6mYTEQoG1n/npT5m1Be6VAvhx6Jc0btySMuVLobr7ApmDDa8W70f16CUyR1v0SenYBQeQdfsFFaXutOg8kPbtO2Jra0e3bj3Ytm0zu/fs4saFO6ifvCT94h3kTnboktKwKuWD+yctyHoRi69/CS6eDjc+m+fPn1E7rDp4OmNfPxiJLHv6V3XjIYk/H8ChfQOGDh/M+TPhJCUncevWTaxqVca6VlkEjZbMy7dJ3nEYpy4tsKsTYuYZv/ktuPTuSOyc5cT+uBj7xnWxLFsSiVSKJvIVqhMXSD0XjseIgcb9mRCE7PK5YOFTGFvvQrRv2Zavv56ER5uWCDpdrgHhMltb7EqW5MSJY3TtWrD9ukT+G4iCSeRPJSMjg507t3PrZKEc16RSCZNHudCiexz+1SMx6PU4O5p/8QUFKvl+dkq+cTenzqjp0cuaNm2tGDVKSc+eyzl+4iDde1vSqKkd/XslsnWzivoNLcnMNLB9m5rkZAkXzq8mLi6OunUbUbt2fXbs2MTCHw+jUqmJeZWOi4fAoNFO2DtKOXs0k8FdY/hyugthTbLF186NmTRt2gQ/Pz8cHC1Nptl+i6ePgpQ9OiQSCdUb2VO9UXZnO6VPHEWLFkUikRAcXJXg4Ko8fvyIuvWCaTPYE1evnKNGRzbG4e9fEoVCzrjxnyMgoNUYyG3iUqcxILOSIZFIaDq0OKVDXTi7IZK53S6TlaHD0cmRDm27MeyjGjg5OfHp4GGs37CaMk3sTMQSZIuVZpPLs6DhURo2DqVsFx/6/tgEnUbP0qZ7SYvJxM7D/J5WgiDw/EIMNUdUMklXWCvIiFcjGATcS7oT/zyBjNiMXJ8lgDpJhcIm57NJfJhA0PCauAcX4cxnO0m+H4fnW4LJys0GiVRKyoNYHAJyBme/Ji48Au92FfBqGkjS1Qi++HI4lkorio1oQPqjWC4P/hnvNhVwquSDNkXFq/23SL7yguOHziAIAiOGfM6vv15i7+G9vJBKkCrM/DakUgStPsfvW5emIv7AVZJP3UEbl8q0H6cjkSgY0Hcgc1cuIT0uCeeW1fAe9xFSSyXa+BRilu5Dr9Kwbs1GLCzejGQ5OjrRt+8AOnToQqlyJbByssNn9nDkTnYYVFkk7z5DxMTlWNnZMvzTUezZs4tDxw4hGAzUr1ufQoW8ebHvDCm7TqEs6okuNgmDOgvXT9pjXbkM3H1Om46tSXGyxm36KNPpsZqV0bx4SezMlUgUCmxrVDRe02dkool4haJQ9vSi1MoS98/7k3H6Eklb96JbuAaJVIKlpRVly5TlrrsbFr5v4qGUPoXRRL5Cn5qKzD5nnKFBpSLpzl2+f/gdCg8PErdtR5+ZiX2Najg0bIDU3NJaSwsyM82PiIn8dxEFk8ifSmJiAhYWUnwKm4/1KF/GguSULBYsWMr3333JrbsaCnnl/Fk2a2jFyAmJnDmnoXZN88vhfw3P4slTPU2bZX95enrJWL3akrp17vH19y6ULK3gyBl39u1RcfWyBoVCwlfT7Pnis0wGDPyIy+FXcHa1JCkhiyZNm7Lh5wNM/XYCyeq9fDndwdiRlSlvQZWaVozpH0v1Opbcua5h1YI0AgNfMGBQN1JT1CQn6HB0Mf/fK+KxBmcP0+eRGKfl3vUUZiVOZemKuTRr3JZu3XqRnJyEXCHjq273+eQrH8rWsEcqlZCZpuPgulh2/hTHxC+H0rBxbaq2dad4BXvC98VSr0fOwF+9TuDKoXh6/PAmmNe3vAO+5R0QBIHvm11BKbVhw5ZV7D+9ldjnyVSrVp0sbRblWvnnqA9ArpRRIsyduKcZVBuQHQCtsJITUL8w4avvEza6otlyj0+8RJelp0i1NyIs7VUG2z45TImW/jSY3xilrZLEh4kcGHSAkBEhOVa8ASQ9SiItKh2PSqYBugl340iPSsOnaSlkFnL8P6rIww3X8KheFMn/T+tK5TKKtijN4/WXqTi5iVkhnnwnmtQHcQR9nR0j5VzJhxJf1OPWV3spE1wM52p+OFYqyqtdV4k9+QCZhQKX2iXQPEli0eL57Ny9HUsXewSDgDYlA4VcgepFPFY+pqNhloWckFrISb/5Arty/7/0/1USD8etw8rPC/ce9ZE72ZJwN4IBo4bQsEYYDgYlVPLHpV1tYz0KVwe8R3YkYshCwsMv8erVSxavWkJUZCQ+RYsyuO8glEoLrFydcB/awbh8X2plgXOn+mhexOCZamDh0gUkC1qkwaVBIuHQj1+T8iwS97EfI5VK0cYmIrO3wbJ0cWMdWhsl0RGv8BjTy+zojdKnEK6DuxG3YB02IUHGPGnHLmJZyg+5s6Mxr1SpwK5+TWzr1SBpzVbk95+hUqt4mBhLRkwsTpkqpNbZnwUyO1usK5QlacceXLp3MdmSQBAEkrbvQe7pgdfQIUYRlxURSeKevaiXLMOj/yc5RJM+Ng5v75z/h0T+24gbV/7H+bM3rkxPTyMw0JfHFwvj4ZbzJXr1pprarSOpUdWFG7dSAT3rl7pQo2rOgM9tuzIYNiaRn1e7EBJsKpquXtfQrXcCY8bZ0bGj6fhKYJkYNmxzIaBUTtGWkKCnXo04Ove05+PBNtg7SImP1bNgRiZ3b7jw/Hkk6w+6UahIzrL9O7xCLpNx91YWhYta07qPLU6uMpZMjad2Mxt6Ds85vajJMjCg2TP6T/KkSp3spfqRT7IY2fEpparYUae9K3qtwOlf0oh7pqBOaEPi5IcoVNyCPUteos0yYOckJ+ZFFsXK2vD8lhaJVMIn8wMIqOrEgwtJLP/8Dp+vLkchf9Ppp63fPeHR1TSGb8x56OuFX16y9av7NP8yiPItCiNTSFGnaTm9+DG/bnlGp/khFK1ifrr0wLfXwUJJnRFvAntTozPZ0PMoZdsUI6RPKRRW2b4XDAIPjkRycPKvNJ5WE99ab+KHjk65AJZKqo6sZlL/0ZFHkSqkhE4JRaZ8MzqjSlBxYNABfBr6EdT3zUhV0sMETo48hH+PyhRrky0OdWotZ4buxKaQPUFDaxqn5tIjkzk9aDvuNYtTamBNFHYWxucVHx7B9amH8BtQG69Gb+KxMqOSCR/4M9V2DMl1tPNKzxVIZXKKftkaq6LZ4ijjUTSPJm3BsZo/PkOb5CgTszOcuP1XKTGtO3IHax58vgrb4ADcO5lunKnPUPNywnokqWrsR7TCunTOo2fi1hzG9WEyr9ISsWpTA4uinmQ9fknGjrMUcnIjPsgLp7Z1cpRLv3Kf5EU7salbGftODYztEwSB5F+OkX72Ot7TR5jdJylqzCzsGtTELqxajmtv8+rrBdg3qoV1SDnSz1wm6efdeIz9FKV3zulIbVwC0ZNn4tisIXZhtZAoFMQsXIGySCGcWr55hoZMFTFzlyCRy7GvXxeFpwfauDhSj5xAn5xCoWFDkdmZbo0h6PVEL1mGpW9RnJq+qSvrRQTpq9Zy58b9P31TS3Hjyn8W4giTyJ+Kra0dTRo3ZvaS80z70jQORxAEfliYxIA+tnwzwRqdzopNv2TQrnscuza6E1LZVBTZWEvJ0sjp2iuDMqV1NAgzIJHC8RNqbtzSMnFSTrEEUKaMnH271WYF08zv06ha05Lh4968uFzdZUz63pZebePQarRmxRKAt4+Cu1dcKFU+hakrPZArsjsXNy8FIzo+x8VdTpNOjsbYq+QEHdO/eIWjq4xKtd+cu/bd0Eia9vag3eA305YhjR1ZO/UVZ84eo1JLKXU6ulO7vRsv7mWiztDjVtgCuULKiNBrVGxYiICq2SvLAqo50eIzX6Z3uUalpm6UDHEgPVnH+S1xJERnMnhlxRydfOzTTHZNf0zdQSWp1PbNVIelnYIGX5Qk5lEqZ5c9MiuYBIPA/WOvaPyV6RJ1e09ruqwM49BX4SxutBufqh7IFXLibqViKbPGw82LG6seocnQ4urvREpUOg8OPKft1pyHG4dOCeXE+BNsabUF/5b+2HjakPoolScHn+Di4sLjzffRJGYht1MQezWapEeJlOlf1SiWAOSWCmrOasn1H09xsMNaCpXzQSqVEns7ihq1aqPL1HOq0xrcKvtgsITUh/HoVFr8h4bhUbekiT2WHnYglZB2Lxr70jmXnmdGJpIZl0LZJf2wfGtfJJsSnhT/sg0Pxm/E2t8L1yamK8fcmlck8chN7n6yCMdqAWhiU3BrV/O31SOzscShSy1ezd2NfS6CTZuYxtOoFxSeNQSZbfb/CQsfD6wr+fPks7nYl8s5RQ6gi4pDLxGw71jf5HcikUhwbFeP9NNXUd16hHW5AJNygsGALj4Zy0DzI5FvYxXoT+qRc2TtOYksS4tSqTQbgyTo9CTOX41N5QrY/3+AN4Bzx1bE/LgQIUuDfYM6yB0dEBCwLl+WjEPHsTx2mtSUFGRyOTKlEs+Rn5tdcSeRyXBu3oyYZctxbNgAiVyOPiOT9K2/MGTw0A+6A7jI3xNRMIn86YwbP5WWLepgEBIZ0d8eT3c5T19omTorkcs31Bz5Ojt2QS6X0K2TLRmZAl37JjBtkgN+xeVEx+hZt1nPmQsa1q37hSpVQti58xe++248Zcpk0qK1JUtXOmJtbT7+qU4dC+bPy6RWHQuqhLx5CcbH6Tl8QMO3c3MurZdIJLTpIuPRAxn3bmZRKshUvAmCwKM7MtSaNLoNtTeKJQDfAAu+X1uEcb2jWD8vlQrV7MhMF7h6PgV/fz+ePX7KpB6xuHjKeHBDRcxLDS0+9sx5/0FuDNl4G+kRB1oNyo758i3zZtToxOZYnN0dKBVquuVB7S7elKntwrktLzm16RUpkRK+/3Y+V6+Fs6j3Eio29cC/hh0GA9w/mcq1w9Fos7RUbp9zc0aJREKVzj5s//IacY9TcfMzjRE5v/IxOrUBn5CcMUAO3rZ0XFyXhCepnF98G/lLe5bOXUCNGrVQq9Xs2LGNleuWcC3qIRYWligsldh65ty+QWGjoMHsBtzZeIenG55RvUZNQopUp+eJ3lSuXI7Tpy+wZ89uLl26QIwulsbbe6KwztnZKWwtqPK/hsSeecHoXqOxt3egUqXKeHlli4cXL57z00/z2bR3C36fheJcpajZjlwql+FYzpun849RdkZHZFZv7mXQ6Hg+/wTWhZxNxNJr7AKL4OjvTeK6c6Qdvo1NvVIonGzIikwk9dBtinl4M2X6Mr7/YSoPyhVDIjcfC2dXuQQv0jPJOHET61KmfhP0elTXHmPfJMQoll4jd7DFMtAX1enrOLaqlWOkKPPsTWwqlTE7giSRSLCuUob0U5dNBJOg15O6dm+2wMongD67IvC3cmDC15MIC2vA0mWL+WbaFKyrVkRRMRCJUonm6Qv0Z8LRJ6Xg1LOzSXGFmyseI4eQsucAURO/xdLWFp1KTc3QOkzce5hy5SoAUKdhHRJDKuW5PYGFTxEkSgtUj5+gi4sj69QZWjZqyrChI/Jvh8h/DlEwifzp+PoWY/eek3z/3URKVNuPQg5ZWTq6drTm0A4PXF1MO4XunWyY9G0aC1Z4kpqWjL2dMy1bfcQPs7rj7OyCXq/H1dUVF9dCREc/4N49HexQ06q1JTY2OV/0ERFy6tdvzoDeh6kcrKd8RR0vo2Qc2KvG2sYGKyvzL3kbWynu7u4smJbBjBUKLCzf1L1rUwaqDEtSkpJwcnVg24pEHt1So9EIOLvKCWtlT/X6jhRz7UTx4iWwtLRk8ewGeHh4kp6exqFDB0hKSqJ62Qx+3jaXJ7cyOL4lnpgIDVIpeBWzpEEXV2ztLUiLk7B3aTRN+3oYt1WIfJDJjjmxBPgHolEnodUYuHowjisHYklP1KK0lFGisgPV2npyb7c1LVu2oWXLNvTu1Y/Va5ZzbdevSKVS6lRpydwvO1O1agUsbOWo07TEP01Ho9JjaSfHw98eK3sFjo5OrOt1gXJtCuNb3QV1mpa7e2JJeJCJXgvqVA1WjhYkvUjjxi9PSHyShmAQsPOwomybYqCW0rF9V2rWzI63sbKyomvX7sZVSImJCQSVD0CbqUVhnXNETyKRoLRVUrpMGZb/tAbIPksOoGzZIEqVCuT48aN8OnYgcisF+iwdqU8T0WVokFspsCvmjNxKQfqLZORyOe3bd8oxguDjU5Rhw75g7c+rUThb83jFOVLvRWPQ6rFwssajfilca/ohlUlRShS4KV24PWgDLi0CsS7miioyicQ9t3GQ2yAvXZj0e1HEHbhOVnQySCRYejvh3rQilu6OfNbjM5ycnNi6ayvJ12Mo5FmInvNWUKtWKBKJhCdPHjFj10o0McmkXbqPLk2FVCnHyr8QNkHFMGRpQSIh69IDkoq44tCoMlKFHF1yOkmrDmNtZY3M2fxGqxYli6B7Fkfy0j3Yf9QAmZ01hiwNaQcuIsQmIy2cPWomGAzoElIQNFpkdjbI7G2QanTorz8kZdoKhNK+oNagvXQbf18/KF+BF3cfo3Azv6LT6MsHLxg8dDT16zcCYED/QTRq2JgVK5dxaO8RNBoNZUr4M3LxUjp07ozM7o2IFgSBrAePUd25j0ShRGFpRafWHfjss+H4+Pia3EetVuUplt4mZtFiqofWZfCP82jUyHw8m4iIGMP0H+evPnw3PT2dRYvmEfn0J5bOzX3+PqReKj/8uIXg4DdTPTqdjiVLFrB06Ry0unTKBgkUKSLD2UXCrxe1XL+upV07K4YNt8HVNVuExcXpqRuaypkzV7GxsWPbti08fnwfJyc32rfvyKKfZqGV7GDElzYkxhvIzDRgayvF2VXK2CGZlCs9gKvXLvDg4WVadFJg7yjh1GEDNy9n0ffjQaxYuQh1ViaVattRoZYdCgsJMS80HP0liSwVjBwxhcGDh+bazvPnz9K5awus7WXU6exO0TK2CILA46tpnNwSizZLYM3KrYz7cgRqXTKlQmxIeKnj7q+JtGrZFltbe/Yd20xGmgpXH2uC2xbC0dMSTaae28djuXYglvLlK7Bz+6FcpxgEQaBSSGmsimh5cTUJew9LFFZyMpM06DV6XHxsKV+0NiNHjGP5yp+4eiMcQS8Q4FeGatWqs3PvdtRFYkl8nkrklTj8m/jiWcENqUxC4qNk7u54jFalZ/vmvYSE5B7f0qp9E6hhoFT7nMvuBUHgaP+jjO03kU6duhITE825c6dRKCQUKVKccuUqYjAYCKrgj7KMA3FXolDYWqCws0CXqUGTqKJIkwC0yVnULxrK9GkzzdqQmZlJtdDKxMbE4F6/NE4hxZEq5ahfJRO97wbaFBW+Pary7Kez/Dh9NjdvXif8WjiZWSq8PAvR+6M+pKamMGLscCQWclwaV8Dq/7cKyLwfRcKh6whaPeuW/0z9+g3N2gBw4MBe+gzojYCAbZWA7JVsWVoyrj9GIpViUdyDwilSmjduwaZtG4mNj8PazYmMV/E0bd6Skn7+LD+9F+cR7XPUnTjtZ4a26sH58AscP3YEG09XMmMTKRNYlnFfjKNb767YNK5G2qmrCOosJBZKDOmZKIt7Y3gezc5te3jy5DFHjh0mNSWFCuUr0rVrd27cuMaIryfgOGGAcZ8ngKwnEWQ9icCQqcKQmo7m/HUuX7qBu3vuKxNfH6xcPjiYqMAS2IRUIv30BVKPnwGdDuuK5ZHI5WijYyAhEW1sHK3bdmD86PHG8+C69ujMNWsL7OvUzvU+hqwsor+ayqljZylWrHiu+f4sxBimfxaiYPqP81cLJoBdu7az9KfhHN1l/mWRmWmgePlojp+4QtGivgCo1Wp69mzL3buXSE3VElJViY2tlKtXNNjbS5k4xQ5PTxk/Lcjg4gUN69c7YWcvpXdPFWFhPZk06XvjifZvc+nSeTp0bI6VtQG1SsDKWkJGuoC9g5TMdDlHjlygWLFinDhxjB07NnD9xhWeP4+gWIAtds5aop5lkZasp/NQd5p1dzF+mep1Aid2JLNiagJLl6ynXr0GOe796NFDmrcMo9EnTjTq5ZVjnymtxsCOuZFc2atl/96T3L9/j23bNnPs5AEUVlC4tB0pcSoeX4+nTF1Xuk8PQmFhOlqXlqDh55H38HEsx5pVm5HJck7xLFg0h+kzvqFcuyJU7lwcx7eOMnl5K4lLax/y/Fwyq5b/jJubOyNGDebho4f4VPHAoBV49msUekFP0dre1BlfNcd5cHqtgdubH3Bz5UO2b91HUFA5s34/e/Y03Xt3IuTLEBBAk6ZBKpdi4WhBTHgsaRfS2PXLAcZPGs3hQwfwrOCD3EpB3M2XuLt60K5FB+Ys+BG30GL4dqyAvd+blWjpL5J4vv0GkXvvMGHsZD799LMc98/KyqJNxxZEypIpPqohclvT0QlBEEg8/5i73+xGLpXh5F8YhYst6shEDClqxo7+kjq169C4RQOsm5XDo321HFNqBq2O6PWn0Z95wpH9xylUKOemmQcP7qf/4L7YtquOY4NKyGzeTKsJBgNxPx8jaf8lFLY2OJTyxZCaSdrDFzRo0Ihvv/qOQoW8SUxMoEq1CshrByJzsEXI0iCxVKKPT4VfH3Ll0k1sbW2JiYnh+fNnuLu74+tbjJs3b9C0ZSNkJYti36Q2FiV9s49uydKQefEGaXtPUaawL1laDc+eP8O6ZHHQ6Um7+5Cq1WqQmJBAlK0c267NUV2+RdqxC+iTU7Es7Y/U2gqDOgtpYgqaF1G0bduB/n0HULZszuNwXgumZctWMXzSOAQvd7SvYnFq1RxlkcIkbtuB6s49LEsUR6JQkPXkKUilWAmwa/s+ypYN4siRgwwcOQznL4aDVErWs2eknjmPJioKJBIsivogs7GlpFrDnu17zf4m/2xEwfTPQhRM/3E+hGBSqVRUqFCcHettqVwh5xYBS1al8fUPqQwdOoEhQ75AEAR69+nAxYvHqFNHwfiJdsYRJJ1OYO9uNZMmpjJ/kSM1a1uwaH46y5dkotXK6dq1B4sWLSY1VZ1DMK1du4qJk0ZRvZ417XpaUbZy9sG8BoNA+BkVO9aouXZJzYL5K2jSpBlfjBzMpat7GDnDGd+AN3bfvabiu+Evqdfeic5DTM98u3o6jR+HxXH2zFU8PN7EKQmCQN16wVRoqaXxx+Y3K3zN5u8jyXjiS6cOPRg/aQRdv/WjTG1nozhLfKlm0+T7GAQJfRdWQPabYz40aj2Le92kb+cv6N9/sOmzXrqIWQu+peNPITgXzf34l8dnY9g16gpSmYwq/QMI6uBnPDsuK13LxaW3eXAognarmmDjZn4XqLs7HnNv5TMuX7yN4jfLuA0GA6dPn+Traf/j1s2bOAW4YuFkiV5nICMqFXVcJh3bd+HCpXNIAywpNSgYC6fs+xh0BiKPPOTK9ycpObAmxdrnfgxH6sM4ro3Zx/df/UjHjqaxMVOnfcWG09vx/6aVyblxrxEEgQczDpLxJI4So1ti5eNiTE+/E8WLHw5ggRzLJmVx65D3SrGYNSfxjtCzd8dBk/QbN67Rsm0zXEe1x6ZssRzlko9eJW79UTyGtMO6vJ/xN6CNSSJl2T7KufiwZMFS1q1fw4IlC0jVqrEs64fU2hJDugr1zUc42zowdMAQunXria3tG5+/ePGc+o3rIG8Thm1oFbN2Zz16Qcz05Ti2b4xd3apIFNlRHYZMNem7j6G48QhXF1fuPbiP3NsD+wahWFcINBlxAtDGJ6I6cwnV2XAG9O3P+LETTabBXgumxMR0QmoGE5GehufQQQiCQPSc+VgU88WpZTNkNtniXtDrSf/1MonbdmJjYcnJ42cpVMibxs0b8kIhRavToX74CLvqNbD29wdBIOPOHVLPnaVpwyasWLYaqZm4rT8bUTD9sxAF03+cDyGYANatXcnUqZ+zdokLtatbZB+EqhPYvD2DUZOSmDHNkc/HqLh27RGXL4fTf0BHgspJWLXGyezxKPv3qfl+WhpHTroikcDwIWk42Ldl3tzFODnZkJSUYSKYli//iVlzpvD9Cif8Spvf1wng2kUVkwYlMXjQaJYsm8FPBwph75izM42J0tK/yVPm7ffH3dt06mv2FzFUDviYUSPHG9MuXDhP34Ed+O5IYL47mKvS9XwReh2pVEb/xaUoVsEhRx6txsCPnS9T92NfKrfIuXLr3pl4DkyL49L5W8aOISoqkuq1KtFzfS1ci+X/4l7W6Rj+jYsS3Mf8gbNHp4ajN0io82XOQ10hW1js6nGMb0bNoEWLNwe5xsfH07VnB17EvKBIa398m5dEaW86upP8IJ6r008jtVFQa3YLszEmEYcfcnflZWqv7pZnDEry3RiufLGHm9fu4eDgCIBGoyGwvD/Fv2mBrX/Og44BUm5Gcm/qXsot/jjH6BOA+mUS1/svp/SSQVi45/TR2xjUWu73WcDhvccpWfLNFORHvbpww0WDc7taOcroVVk87jcT7//1wdIv5yo3Q5aW2HHLUKr1GIq4YdGkKpZlips8C8FgQHXzEVkHLuCqkfLLph3GQ2aHDBvMocTnOHzULFe7o79dglXFMjg0Nj/NlbzyF1SXb2HbuC62jerkGwukS0wmddEa2jVowvRpPxrzvxZMJ0+eo0mrpriN+wKZjQ1Jew+gjY7B7eOeZutOv/grSXv206phUxYvXEpiYgI161YnXS7Ha8BApFamYl6flkbiiuUM6NqD0SPH5mnrn4EomP5ZiGfJiXwQ6tVvRHoGfDI0nsp1XtH6o1hKh0Qxd3Ea61a60La1NZUrWbF3725WrJiLXKZn8Kc2uZ4l17iJBVIpnDujQSKRMGiIFfv27iQ5OZmUlBQMb51Lde3aFb77/n/MWOucp1gCqFDViqlLnJg9ZyrNPrIxK5YAPLwV1Glux6GNiTmuNelmy9Kl8+jWow0tWteh80fNmTBpJCEt7At03IuljRS3IgrciinMiiUAhVJKvd5FOL8p0uz1gBouZOnSuXTpAiqViszMTFatXkaZht4FEkuJL9JJeZlJhS65Lxuv0rsUDw8+Q5OhNXtdIpHg364oy1YvMqbFxMTQqFkd1L566q1vR0DX8jnEEoBDCRcyE9Ip80lwrp1w4Xp+GDR6Eq/nfQaYY2kP3CoWZsOG9WRkZKBWqzl8+CBKd7tcxRLAq13X8GhV0axYguzNJ51rBpB45Hqe9weQWipwqh/EzDk/sHbtKpYuXcSyZYs5efwo9g3Mb/aZeuoGlgFFzIolAKmFAqvmIaTKDTh83hWrQL8cz0oilWJdPgDHUd1JLOFO8zZNSU5OIiUlmZ07t2HTqHquNmtfxqKNjM5znyWbprXR6nTYhNUoUOC03NkRh88+Ztv+3SxbvjjH9Z+W/oR1tWBkNjYIej1p5y7i0LBernXbVKkESNi9azuJiQlotTrSkpPx+LhvDrEEILOzw6FrVxYsnEt6enq+9or8txFXyYl8EBIS4ilUyIbzJ2w5f1FDUpIBHx87ygcpjC/DYkUFfv31EidPnUKtMhBSNfd9UaRSCdVqKLl7R0etUAtKlVbgVSiF4sULI5NJMRgEihUvRM8eA7l69SLtelnjW6Jg+6wEVbHC2hbKV8t7xU3FGjYc3Z1zxK5kRWsyMjJxLv+QssWtUKWncn53IofXpiAIBjp8XhSpzHwHkJqoZe7g+8RGqqjXJ+ey/7cJqObElm8emL2WEq1GojDQrWcH0pKzOwa5hYzSDQuRFJGOU5Hcp+MAYh+k4F7aybgBpTkcvG2xdrIkNSod14CcS+oBPMu7cnzlr0B2XFqnj9pgW82VwCEheXawmlQ1WUkqnMvmLmgkMimuFQuR9igelzwO1E1/lkgWOiZ/M5FJk8YBYOvkgNTdGk1iBkpnG/PlnsTh3tr8VNVrHKsUI2LdOdzbVjPZbuC3pFx8QOLlR+yKv8bZ2IeglKOJTUKn1xO35jAuHUJRepquNlM/jcHKzDTd21iXLU78usP5n48nlWLfpSEpS3fyxZgRtGnRFptiPshdzfsNQPPiFRZ+PiZHnvwWhacbUhsrdPFJKAvl7qu3kdnZYtuzA9N//J7evfoap2vT09PZ/stWXEdnL/HXp2cgaDRY+BTJvV0yGZb+fggxsWzatIG0tFRsywQiN3NkymuU7h5YFfFh795ddO78UYFsFvlvIgomkQ+Cu7snMTEqMjJscj3q5PLVDJ48XYerq4GIF6DVgEUemiVLLfD2iQy1altQJdSaQaOdUKsEblzOYvvaWZw5nkidJjakJutzHTF6m/gYHVIZaLLynr3OUhuQmRE+EokEC2spVZu64Oqd3dYarVyJf5nFgmEPWTrmEf2ml8gxeqZK1zG91x18KzlROMgRbZb509tfo1XrzQqvU2tfsH/uYwLqedHso+J4lswepYp7nMblLc9Y0eU41fr4U6NvSbMdrUFn4Nr256hTNHneXxAEdFnmbTA+C6nEONq3Y8c2kiWp1Pi0Wb4dvFQuRTAICHpDrnsTARiydEhyub9gELi36CwR++/g0SiQyj+FYuXthCAIpN2LJmr7FcJ7L8dvSD08GpXNUV4qyz7vLS8MWTokEngyZRN+X3dFqsj5io3edJa43eG49WiAfc1ApMo3eVzjU0jce4nnY5dReEI3rEq8EX4SuRRBq8v7/hptngfRvo1EIsGucwMOfj6L4IpVkNibP/fPiEyW7/0FQUDQ6gpsw2uUxXxQOdixbNlPPHzymIOHD5CanIxWIkHhki0cJTIZgl6PoNfniIkysUGrBRdnvv3hW7RZWTg0yLngIgdubkRGRryTzSL/PcQpOZG/DJVKxYYN62jdKpQWLWphbS2n5yeJvIjI+RK+el3D8+c6Zs+1wc1NRsXKCvbvV+dat1olcOxIFjVqvvmqt7QCrTb7MFMraylVa1vx3RJ7tp0sjIUSPu0QRXSk+ekjyI5LmjAomm71X2BjL+Pk3tQ823d6fxrlauQcnUhN0qHOMGDraNp5uhayYPTK0kTez+TU5tgc5XYvisK5iA3tJ5YkoIYz1w7FkVfI4dWDcfhXMx2VOLnmBSdWv+Djn+vQemplCgU6IZVLkcqleJR0oNmE8nyyOYybuyI4s/hejjoFg8CuLy+TkaQl+UU66bG5H0j66kYCSMCxaO5f84mPkvH08uTGjWv8OPcHXGp4oc/KuxOG7E0nHUq48vLUs1zz6FRaoi++wKVSzjPABEHgzrxTxF2JInh5H0oMCsPaxwWJTIpULsOhrDdlJrak/IxOPF16ipjDt3PUYV3Uhfhjd/K0M+H0fTzahoAgEL8nPOf1ozeJ23sF3+/64hhW3kQsQfZZcB69GuLepzGRU39Gm/DmN2dTrjjp5+/k+RtIP38by0C/PG18G5mDLdYVS3Hw0AF0SXnHM1qW9CXrSQT6lNzzZd1/ikSpRO7mUmAbANR3H5KpUjFl2lfsi3yK4qNOOPb8yHheHIDUxhqFuxuq23dzrcegUqO69wCFpwfSwoWxq1UbQwEO0ZVkZWFtbX5kUUTkNaJgEvlLePDgPrVqBrFxw3h69XjGyqUGli6yxruQlJphsfy0NPslbDAIHDuhplvvBL6caIebq5TERAM9e1szb046qSnmR1kWLkynZCk5JUu/mS5ITBSws8/5JepRSM7EGa40aGHN5z1ekZyYc9Tg2SMNA9tH4eZjyYpTAUxc4sOpfWk8vmNetF05k8GdqyrC2uSc0jiyNYkKYY5Y2uS0xcpWRofPC3N47SuTjlCTZeDU1lgaDS6GRCKhVC0XBIPAuS2vzN4/6ZWak2sjqd3tzbRdQkQmB+Y/puuiGrjkEafkVNiGjxbXIPznx8Q+SDG5dmPnc2IepdF6UX1KNCzCmbk3zHbYeq2es/NvEtjeH6nc/Gsl/n4iF+Zc5/7dB3Ts3ZYEdTxPd99jb5u1XJt1htRnSbnaCFCiQ1nurfgVbYb5ka57qy7jWMoD26I5N05MvBpF9KknBH3XPtcpNwC7AA+Cprbj8dwjaFNMO1q9Wkv88TtkPo0zWzbp18dkPI7BpUEQhbrWJH7fFQTDm2clGASi15+i0NDWKNwd82yrY91y2FbxJ3n/JWOabWV/BHUWaSevmS2jjU0i+cAl7BvlvULvt1jUKsfFG5dJffyc6Kk/kfHrTQR9zv8TMntbrCuVIWnbQbO/AUGrJXnbQezqVDO7U3hupB47S/yyn3GoW4ciX0/GoVVzLIoURuHmhiEzE+H/RyQlEgn2oTVJ2n8Igzrn/0NBEEg+cCh7qwEkKFxdsQksQ/q1a2bb8xpDVhbpt27SqFHjAtss8t9EFEwifzpxcXF07NiYgf017NxmTbs21pQNVFCzhgXz5zhxaJ8rP8xKI6R2MmUqRjNidBITJ9nRpas1ZQIVpKUKFPeTUSVEScd2iRw6oEany35hP36sY+zoFLZuVjF95puAaK1W4MA+NVVDzS9xl0gkfDLckZBalnw3ynR0Jy1Vz6jer2jf35WPx3pi7yTHo7CS/pM8GdMjgp1rkshIy34BpyTq2LAgnq8GRzFylg/WdqaiKDNNz751idTrmns8R/lQR7Iy9Ty6+ibo9PaZZJwLW1G4dLbQkUol9JoZxO7ZT9jxwyMSX2Z3GNosPb/uimZWtytU71yY4lXeCLazGyMp27RwnmLpNY6FrCnftiiXNz8xpgmCwK8bnhAyoBxKGwW1Pq9M/KMU9nxxlpjbicY8EZdi2NL3OFKFjAq9yuSo26AzcGLqRXYOPEahMF8a/9yOxlva0WJLZ1pu7UzDZa2RyuD4wO3cXHTBRGS8TdEmATiVcuPU4B28PP0UQZ/dkaY+S+LXr48SceQRQWPqmy37bPsNvNtWROmYz7QT2aLJqYovMQduGdP0WVqSwp9RqFst7ozZSMyeq+hV2cJNm5xB5M/nePTdbvzGtkFmqcSuvC+CQSDjXpSxjtQrj0Ehw7pc3nFIr3FqGkLykSsY/n8aTCKTUWhkR+JWHyB+/SG0Cdni1qDRknriGhETluPQtAaW/nnHuv0WmZM9WFpQeMFEbGpVIWXHMWJ/XIUhM6cocereAs2TCOLmrCbrWXbbBIMB1e2HRH/7E1Ira+wbhOYolxtppy6QevAEXp99il21EJP4KLmzE1JrG9QPHhnTbKuFoPT0IHruIjJv3zGKKc2raOLXbyTz5m2cO7cn4+o1rANKYlHUF5mtHSmnTuZqQ+rhw3gV8ubEieM8e/a0wLaL/PcQY5j+Jpw6dYrZs2fz+PFjnJ2d6dKlC/379y/QShOdTkfnzp2xtrZm7dq1f4G178aqVYupXtVAv77mO6uSAQp+mu/EyLESEhMzuXLVFef/Py7FwkJC5y5W/LxOxbff27Nlk4pZM9MZMSwFS0vQ6aFteyt+2eWCu8cbsXL4YBZunnLKlM898FYikTBknBOtqkUS8VRDkWLZefdtTqNoSUta93E1yd+wgxPu3kq2LYlj6bRYrG2lqDIM+AVa4uAqp1Id08DpzDQ93wx8jl9FOwJr5D5NJZVJ8C1rQ/QzFf6VssVNcpwW1yKmYq9wGTuGb6jCkSXPmNryEkpLKeoMPXKFhOA2hWg48M1OxQaDwKXtL+m2LOfy9Nyo3KkYSzsep+GocsgtZLy6lURmkoZiodlxNBZ2StotaciVNXfYOew0Bp0Bg15AaatAnZJFyKByOUaXBIPAkYnnSH6povnmTlg45AxCsy/qSKXh1SndrRwnvziILlNLhc9rmVnhJaHK+DCe7r7LnSWXCJ9yFCSARIKgN1BrRVes3HOKw6xkFfGXXuA3rFGBn0WhluV5OOcohTuHAKBLVSNVyvFsXw3r4h5Eb7vIs8XHkFkrMag0OISUoOS0blj7eRhttSzkhDbhzfRVavgT7GsEFvjYDSs/L2S2VmQ9eYVVyexAZ6sS3vhO60v8tjM8HzIHiUKGoNUjUchx6twI+4bmt3TIE70BpFKkFkrs6gRjW7Mi8Us2Ezt7DR6jPjbutQQgtbZC6euN+u5jYmeuBMGQHVOkUKBwd8NtUM8844veJuvpC5K3H8Br6CCUnjk/KCRSKXa1qpN2+hxWpQKMaa49upJ29gJJO/cSt2o9ErkcBAHbasF4jRiKJjoaQavFqlQpJBIJ7t2782rRQnQpqTiEhqJwzh6B1MTFkXzkMJk3byKULsuPWzbxv68m0ahxUxbMWYiVmVV1Iv9tRMH0N+DKlSsMHjyYpk2bMnz4cC5fvsysWbMwGAwMGjQo3/JLlizh1q1bhISE/AXWvhuCILB27VKWL877pxZW1wILi3Q8PJ25dVtHaOibl2637lY0aZxA5y5WdOpiTcfOVsTGGNBoBNzdZVhYmnZAKckGZv2YTvdBjvl2TtY2Upq0tWHn+lSGTHDFYBDYuT6VAVPML90uX92G8tVtSEvWkZ5iwN5JhqW1lN61HnD3cgZlqtiSmqjj0OZE9v+cSIlK9vSbVjxfO7RZAue3J2LQCQgGuLAzEYllzgFgt6LWdJ1ahnZfliQtQYOFtYyYxxls+eoek+ucpEbnIjh4WpCepEGVpsPdP3eh9lucCtsgk0vISMjCoZA1cY9S8SznaiKClLYKqg0uT3C/IDLiVUgkYOtuTdKzVPaNPMWdbY8J7OiPV0V3pDIJV9fcIe5BCg2XtUZhk/eqRCs3G8LmNuNwv528OPCAok1L5sgjkUoo3roMxVqVRh2fydH+26kwpRnPtlzl3sKzVJzSNIdoU0WnYuFmi8Ih/9Gl19gFeKJ6mUzkL5eRWShQPY3HkKVFEATsKxbDvmIxdKmZ6DOykDtYI7POuXBBl6Yi5dTrmCeBjNsvsK9nfsuA3JDZWaHPzDJNc7JDqpQjc7bHfWhnFG5OvJq2Ermr4zvV/RptTAIyxzdCUyKX49q/MzHTl5F66CwOzesgGAyo7zwmZfcJBFUWXl8OR2pliT45BaRSMm/dQ33jboHFEkDqkdPY16uDslDOfcNeYxcSTMqhI6ju3seqdPbvQSKVYl+7Bna1qqNPSUXQ65DbOyBRyDFoNCTt3It9jZrGaUGlmxveQz8j6fAhIn+cgczODolOjz4jHYWbB0WGj0XhmP3s7NQqzm7dwMAhA1i9fM27P0yRfzWiYPobsGDBAkqVKsUPP/wAQGho6P+fm7aEPn36YJnHAZL37t1j8eLFuLm5/VXmvhNpaanExiZTuVLeu1lLpRKCyur5NVzOnNlpVK+uRKHIFhlFisj5ZqodvbsnsXKdExUqKvHwNP9iTkgw0K9PEmUrW9K0XcGCONv3sKN/h2j6jXQm4okWlUqgQs28y9o5yrFzfPPvem0dmNjjOUoLBVlqHQoF9J9RnEr1nfIVS4IgEP9cILhCfeJ+VSGVSqkW5M4vOzagUetRWuZsq4W1DIv/D4i1c1HS5NNinFyQjremLim34rHQS5BKnr3zIaISqcQ4JabXCsgU5mftZQop9l5vnpFzcQc+2tKcOzsec3H+TZydo9FpdSQnJ1Prx0b5iiVjuxwtqfBpCDeXX8GnSUCu9kskEiydrdBlaLBwsSFoTAPCR+/k8vg9BI6og7XXW/tVCQK862GqUgkgUD7WhSytBg+Xymx3eEbG3Shsy2QHlcvtrZHnsrJMl6FGF5VMo6BavDoXk71S0sqVxPTcFy6YrScxDdW9F9kr5LK0pIU/IO3MbSxLFcX7q4HI7LN9YFuzAmknwrGumFNk5kfasXBsqpsKOYlchmPbBsTNWYPk2gOyEpJRZ2Rg17Qe9vVqIrXI9qfcNXu0xqZiWZK37EGXnILcMe9NOwH0KWmobtzFtU2bPPPJbKxx69mduNXrcOvdwzjSBNm/gbfvZVCpiV22Erm9Aw6hdUzqkTs54dapM84tW5Fy6hQOjx+TZGOL2+DhJr8xmaUVTh0/4tgPU3n8+CF+frnvOyby30MUTB8YjUbDxYsX+ewz07OtGjduzLJlywgPD6dWLfPTKlqtljFjxtCjRw+uX89/s7wPgUwmx2AQ0OshvzhQvd5AufLJXLqoo11bLaNG2RJUTsHzZzqOHAZLS0d6fZRBw8YGuvWUUqHimz2boiL1/Lwuk80bVTRoacOwic4FFgvF/LPPpYt8piU5UY+blzzXDTJzw6OwkkaNG/HtN7NxdHTik/4fERf5uEA23LuUBnorFi1cZjzrLT09nfArFzi9LpJaHxXGwjrvL/eLmxIZ8dlEevToiZOTDfHxqfgc9CApMgOnwgUTjunxarLSdTy7FIvVfQtiHiaT+CTvlYFvI5VJsfOyoUgRH84cD2f//r2M+mYEruUKth/PawrVKsrlWedJuBWDa1DuQjv6YgSWrjZYutsikUio8kMbHiw+y+mPN+AU6IVXPX8UthaoYtJQR6eiV2ny3BvpbTKfJ+Di4c6ShSuMaW6ubqzdv9comPIi8dgtQqpVZ8lPb8ofOrSfTyeMQOgUWqDfhfpZDNJMLcVf6Um+d5mnz55iWd4f728GofAynS62q1OJpG1H0SWkIHfJX7C8RhMVh+ZpFG7DeuW4ZlGqOFbOTgxo9xGPnzzmcEIEDk3DzNYjs7PFukJZ0s9cwrFF7ocKvybtzCWsgwKR2eUfX2ddumS2aFq1FssAf+xq1cDS/82mnLqUVDIvXCLjzHkEqRSvMWNzDTqXWVkhjYzE2dmFdDcPs36QWlhiW6Yshw4dZNAgUTCJvEEM+v7AREREoNVq8fX1NUkvWrQoAM+ePcu17Pz589FqtTnE1t8JGxsbAgOLc+hI3l/WKpXA2XNZfDbClrMXXShSRMbAASlUqZTAwAHgV/wTTp26wrlzNyhRfABDBggEV0igQd046taMo0mDeF4lSJi52oPPJ7uY3Q8pL+wdpaSlGJArJGi1735akFYjYGtjh5dXIaysrOjXdyiHViaQEq9FpzVwaX8CMwc8YFLbW0zpdJvlE57w7HYGOo2BHXNi6dt7EDKZjCtXwhn06ceUCfTlReRTDi95xsTap9nw5R0ibpsXL2d+jiIl0kDr1u2MaTKZjPbtO3Fty4sCt+HaLy8oWaokWRdciNoOrmn+pEWqSHyakn/h/+fhzgg6tesGwLadm/Fu6vvOo1xSuRTfJv5EHn2UZ75Hv9ymSJsgY/0yCzmlP6tD3S0f4xriw/1FZ8n6JRLPh5YUKepDzNHcl6P/lvi9t+netYdJWs8efUgLf0ryxYd5llVHJhC/8SIjPv3cJL1+/UYoNQKZt54VyIb0A5f5uHdf9v6yn42rNiFHivunnXKIJQCZnTW2tSsSv2x7nivC3kbQ6ohfvgPbsKrGEaO3kUgkKMv4IZfLydRkIfXMexTbrm510k6eR5+a/3FLWQ+fYh0UWCA7IVs0Ff5yDBY+RUj4eRMRE74iatoMIr+aRuTkqVSXW7F++VrkOj2qx7n/bjIfPEAdGYGbuwdSRR7iWaFAq8173zGR/x7iCNMHJjU1uxN8+xBMyBYaQK7b9d+4cYMVK1awfv16lMqCfTWbQyqVvPNoyrvSt+9wFv40gcYNBeS5HAWyfkMGJUrIKf3/2wLMW+jIN19loNW0YvYs0yMTxo2byMiRY+ndpxMOnhdo1t4Wbx8FNnbvr//T0wz8siYNF3cJEY81pCXrsHMs+H+PB9cMhFYsi/z/42caNGhA+1Yf8XWn9ajVWTi6K6nVyQuPYtbodQIPLiXzQ9/7yORSSvqVY/DgoXw3/SuWr1xE1c5ejNxXDQeP7KnYpJcqLmyKZNEn16jby4eGA4oikUhIS9BwclUkV3cms2vHQeztbZH9/4aBMpmUgf0H07TlNoJ7FMPWNe9dylUpGq5viWT9ym1Uq/bmeIwx477gwvrj1JmQ9w7XACmR6Tw7H0WvRb2Qy6XExEVjHZz3DuK5YeNlS8yV6Fyvpz5PIuH6K8pOaJrjmsLWAt9OldAmqKjlVJVpU6ezb98ehn45DI/6ZZBZ5b5TNYDqZTKxp+7Td/omoz/VajWnTx+nfPkKXPx+F4V6heLauDwyyzf/9wS9geRLj3i14AjjR44nLMx0NEYul/Ll2AlM+PZ/KL/ugcI19/iy1LO3UV96yKAf1iKXS8nKUiG3ytuHLt2bEj1tFbFzN+H2acc8d+Q2qLKInbMBiVKJY7vcg+EFpQK1WkWWJgtJPjFgFn5FsQmuQOz8lXgM72eyh1KO+2eqjAfnFhSZrS2O9cNwCKuDNjYOg0oFcjkxs+cz58fZODu7sHrFGnr06Y6uaVNsK1VGqlAg6HSoX7wg8/491BcusGbFWp49e8rlNaugWs2cbTYYyHp4j2pfTjD6X0QERMH0wTG8tceIOcydoJ2VlcXYsWPp1asX5cqV+133d3a2eecRgHdl0KB+bNu2mk+HPeLH6VbY2rxpkyAIbNuu4vsZaaz92XT/nN59LGjWeBsL5v+UQ1AClCpZhkTNrwQE5n0eXH4IgoA6Q065EtnxYv4ltnNkWwpt++a9+V50hIZj25OJfKrh4tF0gkulkZwcS7Fi2cvGmzdvzpr1K/l4RgBl65hOEZap6UTzT4uyc+Yz7p+IYtbs79j4ywqGbK6Mo5dpx+hUyIqmI/yp2tGbhT3DeXA+EQcnW+6cjqVpsyb8enGW8Z6vsbe3ombNqnzSpx9bPv2ZDgsrYetivsNVpWjY9tkV2rZqT5Mm9U3snDxpEhWDt3Nz8wOCOgWYLQ+QEa/i0OfnGTtmLCVKZI+OKpVyctkhIH/yCDvKSlFzbuxB/HqGoLDN3fcW3vbERsTg5GRD164d2bjtZ8K/3k+JiU2MU3PalEzSHsSiS1cjtVQgVcqIWHCaSRMnERRUkuTkZL6e+g1Lly/Doogryqp+uPrUIO7gDaLWnMKpRgBKDweEDA2Zl57i6uDE6sXL6NChg1mbhg0dTEzsS+Z9uQiHHmHYVS2NJjoR1YNIDJlZCDo9WU+j0d98waF9BwgKyo5JKlLEE21GJoIg5P6uUCrwHNOL2PmbiBo1B7sGIdjVqWyMcwLQJaeRdiyctGO/YuFfFLdPOua5c7osXYWXlzuxie6Ep+bcXPW3OHVsQcLqrUT/sBDXvh+hLJx7QDfv+duQSKXGVXWvn4ejow1OTjZ06NAaD499fPbFF9w7cBCpvR3quDikllZIpVJkEgk3b13j/9g76/Corq0Pv+OTzEzcPUASIAR3d3eneHEopaWUtlB3SltogdIixaW4u7u7EyAhxF0mGT/fH7lIGk+53Ptd5n0eHp6c2Xuffc6cOWedtdf6rcnvvsPX331FxtXL2FV7Hr8lCALph/fj6+lJx45t/+33Riv/v7AaTP9h7P5V4+jvniStVgvk9zwBzJ49G4vFwvjx4zGZcjVangrJmUwmJBJJiX/oKSnaf7uHCWDVqu289dYwqtc+Sq8eSoKDIC3dzKYtOnR6gSXLHQmrmveN2MdXiloj4caNu3kquj+lSZPWTHr3T8a8J/yjY7h0WodKZc+nn36NWCymXr3GTJg0kNa9HdDY53+YRN7T8eeMBG6e01K3owteoY70CHXkfPga5lWdQ/369Zky+WPeGNSfsXMrElLfocD9yuRien9YjpWZ4fz080+8v6NBPmPpRZx8bBm9uBaze57l42mTWTn7Ddzdcx8cqam514tEIsbOzoaMjBxMJjPNm7Vh6/atzO96kLoDy1GzTyAa19x9aFP0XN3ymCtrn9ChTRe+/2YWaWl5xRptbOzZvH4HPXp3JvFGGmFvVMC14nPD1pBt5N7uCM78dg0ne2cqV6z2bC6uzh48eBJZ8i/iBTKfZKBwzu/R0MZlcuK9XTjV8iWgf80ixxBLxOTk6J7NZ8G8P3lzzDBOjV2DXT0/9Claks8+xMbfFYlKgVmrJycyCVcXF5wcXLlw4Sq9B/Qi28sWjy/6YhP4PBbLvV9jdFFJpJ+6Tda9GPS3o2nZpAUrlq1GIpE822dBvD/5I8r5V+Czrz7j/u87sZgt2FQKQKy2wZKjx/wkEVu5gh079+Ds7IGrqxs2NvY4ODqiu/UIm9ByhY4tVspxf28QuluPSN93lrRNh5E62yNX2WLI0mJKycCmZiVcxg1AEeRf5H3CojeQdekmDb5rilrtwPafv4O2zQptD7nGjPOwPmTsPUr8z38g83RH07wBNlVCECmVYLFgSkxG0Okwa/95sVtBr8dsNCIIsmfnvEqVmhzae5gRo4az7/QpvMdMROGVK42hj4vh5wUL+GPxYrSZmWSuW0na3h3YVq2BzMER061r2BqNrNm6M99v4d+Bo6NVXfz/E1aD6T+Mn58fEomEyMi8D5anf1eoUCFfn7179xIdHU2NGvlTlENDQ/nuu+/o2bNnvs8KwmIRsJTZDVBybG3V/PnnBh48uM9fa1cy8+f5NGgo8OF0Nc2aKwqMORIEAb3OjFgsxWTKr/Dt6OhMttbCueM66jcru2bKxhVGhg+bhMWS6/Fr3LgZLZp24quRe/lkoVuepbmb57V8OSaK9m968eaPFbHV5P0J9f3Ai0OrI+jdtzO+FdWFGksvonKWULmFC04+xae9uwWqqNjIlVOnTqJW21OxYiVCQ8Owtc3b9/79+7wxpA9JaQlU7ulPleD63NsTyW+d9qOwkyFYcj1LcoWMt8a+y/vvfwSICjzPQUEV+fqLH5g4aTT3j0Si8VKh8VBhNphJuJmMS2VX6k5tiCHTwIhxQ5k0YTJvvzWZvj0HMGHqaCoOrIqoFAat2WAmYvd9Gv/U8dm21HtJPNh0g6gDDwgcUJPyQ4ou1gugT87G2dHn2TFJpXIW/raEAYP7cPbAOVw61aDKgjbInZ8HHluMJlJP3OXjOd+QERGHQ4swPMYU7GlQ+rqg7NcEAFO6ljOfr+eTzz/my8++KXJe6elpLFiyEK3EgtPg9qgbhuWJIRIEAd2dSP44sJ05v81h9fK/qFevPmNHjmXuvo1FGkyQ6622CS2HTWg5tFfukTV/M7M+/4FJkyfi+M4QbCrnv6cURPbZq1SuXIUKFULw9Q1gyodTMETFIPfNK7khWCwgEj07RyKRCPv2zdG0bET2hatk7D9G0qLVzzIwbdRqQoNDiLh+E2qWTmbh72ivXqd6nboIQt5rNzIygp27duI1+QOk6uffry4iAn1WFupW7QkIrYogCGRdu0zKoT1UCqnE2Hem0LVrD5RKZYG/BSuvN1aD6T+MQqGgdu3a7N+/nxEjRjy76ezduxc7O7sCl9zmz5+PwZA3IPGzzz4D4IsvvsDHp/gsnv8U5csHMW36FyQkxuDovJtmzRVcv2YkK0vAzU1MULD02Tk4e8aASmWHn59/njGuX7/GR9MmcvfubcpVlLBuaUaZDaaEWBNnjmYx7+chz7aJRCJ++vE3prw/gUldttNpiJo2ve3JzrLw1dgohn1VntrtCl6us9VI6TzGC89ABYunPSDpSQ4uPkXP7cqBZHp8ml8huzDq9vVg/WdHiOUeCXMzSIlJp2PnzowdNZG6dety7do12rRvRpVBAbQf1Abxv+KayjXxQp9pQJuoQxAEVK42JIen88f7c3F1c2X4sFEFz+/KJd59/y0af9ccj1qexF+OQ5emQyKXUPt9J+x8n8fieNbxZM742dhp7BkyeDhSi4wLP55AIpdiNpiRaxS4VvfAs55PoUbUkyOPEIlEPFpxk2vpGejTdOhScvDpVJlGSwZi61m8tpQgCCQfekinb54HXpvNZkaMGcqd1ChCF41Bqs7vzRPLpDi3CMWpeWVi154iYeclnHvWQ15MKROpvQrPT3qx4r1ldGzXifr1GxbYTqvV0rVXZ+IdZTh/PSJXdPFviEQibCoFYFMpgKyzN+n7Rk82rN3MoIGD+eHH71Hci0QZ7F/A6H87B2Yz+j1nGTVyLN279+Lu/Xss3LQWRXm/AoO8BUFA0OmxZOuwaHPI3nSQKXMXALn3qSEDh7Jq/3GkQ3ujv/uQzCOn0N15gKDTgViMxF6Dqm4N1M3qI3NxQiyXoW5YG0tGFrX8K7ByyUrkcgUKhYKkpCSq16yMJj0dqX3Js/r+Ts7xU4z68JN827du3YymSlgeY8mUmUnS7u34jpmEwv159qVDw6Yo/fwJX7GIDh06FSnjYuX1xmow/Rcwbtw4hg8fzqRJk+jVqxeXL19m8eLFTJkyBaVSSVZWFuHh4fj5+eHk5ERISH6tladB4mFhYa96+mVi6NCx9OixkY0bspBKRTi7iHkSZcbDQ8yEiWratFXw62wzw4ZNepZqD3DkyCFGjX6DwW+r+GqpNwaDwJvtI9m8KpMeA4tPUX4Rvc7Cp29nMnDQEJyd8xpAUqmUWT//zvHjA1i8ZC4jfj2KwlZErXYuhRpLL1KrrTO3z2ZwcGk0/T4u+o0+M9mAk3fJDT7Hf7Xt/EM1ALISdVzddJe+b3SlfdtOHD56kFrjgqjSM78nQqGRo9A8f1h613Slx8ImfDXiU3y8fWnTpn2+Pu9OnUjY2Kp4N8g1xL3qeRc6N423HU1/bM7HIz/gwOF9pCQmIUpQ4FDRFZlciiE9h0uzzyCYzFToUYkKPSrl0WjSxmdxY+5FRr4xmqCgYHbs3MY12T3q/9E/X6HawjBk6Ig/Fg5aE66u7iQnJ+Ps7MzPs2dy4eEN/L/tkydYuyBEIhFeAxqBIBDx1TqCfhlVrJdM5qTBrmNN5i2Yi5ubOzqdDqVSga+vPzJZ7nLz5A/eIc5WwHFs1xLVW1PXCwWLhQGD+3HiyEne6NefZT+sxO3DISgr+BbaTzCZSP9jK/4yDZPfmQLAlMlTuXbjGudmLUczrh8S+9zfiyVHj/bUZTIPnsYYk4BIIUfQG7C1s+P6jetUq1YTNzc33powiTXNVhPz4beI5HI0TRrg1LMbYrUKzGaMiUlknTxL7JezUFasgPPg3ugfRaI/cILvtu1Fo3lu6Lq4uNCuQ2dOnj6HffviZQgKQh/5mJyEBKZ88B43bt1g2oefoFDkxrSlp6dhUeW9H2RevoAqpHIeY+kpSh9/VP6BbNmyicGDh5VpPlb+97EaTP8FNGjQgDlz5vDrr78yYcIE3N3dmTp1Km+++SYAN2/eZMiQIaVaavtvxmKx8Mcfs/ALkDL9C1tq15UjEuWm8x/cq+OzTzKY/bMMZ6cqjB494Vm/K1cuMXLUG0z/xYF6zXINRIUSZvzpzTsDniCTQ+c+JTOacrItfPJWBk6aqnzx+Q8FthGJRDRt2pymTZsTEfGI5i3r0W5YEUGsf6PVQA++7HOdbu8GFlh49ylSuRijoeTuf5PeglTxfDy1q5JGY0Ko3juA3V+eQKvPJLBpyefpVM6OZtOq8dlX02jdul2e5acrVy4RGRVBty4lv+4SriVgEQtEeafQav1AlE55lwsrj2tA0qVowldfJmJvOM1+aoetm5qMx2mcnnKIEYPHMO1fXoPGjZvSqGkdtFFpaMrnT6d/iiAIpF6L4fHmayScjkCqUqBUq+gzvA/Zyek0btqM0ydPEPBt32KNpRfxHNCI5CM3ybryEE3N8oW2M6VpSd53hfRTd9j7KJ5jJ44htVFi1hswZGkpFxJCqyYt2bFtK16/TipVcVp1gzC0hy5Ts3ZV7MJCUFStQOw3f6JuXB37tvWR+z6PrbLoDWSduoZh33kq+QSy+q81zzwmEomEZYtX8NEnH7Dmg59Q1Q7D4uZIxq6jKAL9cOjWHpuwiogkktzl8PAIFhzexc+zZ/LxtM9wcXZFq9Xi2L8nttWr5DsGhb8vCn9fHHt0InXrbmK/nIXMZGbV8rVUrpxfQmDShLfZ370jysoVUfgVbvwVhEWnI2ntBhxatUEVUpk1u7dz7sJ5NqzdhEqlIjg4BNGeXXn6mFJTUHgUrOAPYHFxIyqq5DIcVl4/REJBZaetvDYkJhavmfKyWbVqOX8s+IhVm2xRqfI/OCIjTPTqmMr69fuoVSs3nV0QBBo2CqPXKD0d++Zfkrl3Q8dHI2Jo3NKGfm/aUS644IeiyShwbH82S+boCanQiHlzl5aoZtSuXTv4/td3+HBt4Q/Ngvi63w1aj/CleuvCH/Zzx9ygfCNXGg8qfpkF4PCiRzy6oaXHzPx1wwRBYP8P14k4n0S/Za2R2ZTsnchisrCi6z6W/bEuj6zAxHfGckdxm2pjSxZrcm/zXa4uvkKDn7pgV86pyLaCIHDrjzNEH7iPe2VPYs485sMPPmH82Il5jLZly/7kyx+/oNqPnVH7OeYbRxuVyuXPdmPMMuDWqTpu7aoic3geTGvMyCFp33ViN51HbKug3IfdsQ10K9HxAMRtOU/G1UgCPu6X7zOLzkjcyiMk772EqkYwmmbVUVbwRmr/PFnDnKFF9yCatDWHELk64PHegBLv+9kxXr5H0pJdeM+cnPtyEZ9M5sEzZB27hMTJDokqN2BcSEwjrFp1JowcR4cOnZEWsOQHEBcXy0fT3mf3gb24ThiGMqTw69oYl0DqnKUYMzNxeXsMCv/ijRtBEEjbuhv1vYccP3Qyj3fpRdatW8P7H3+A46jhKHwK91y+iDk7J1fRW2OPW/9BiEQiBLOZ1LWrqO7uztqV69BqtYRVC8G2dXvs6tRHJBKRcmg/xuRkPHr2L3DclHUreK//AEaOHFuiebwMXF1L5xW38p/F6mGy8koRBIFFi2cx/h1JgcYSgH+AlAGDVaxeveiZwXT8+FF0hlTa9y5YNTq4ipLft/qxfnEqY/vGUS5YRuc+ajy9pSiUIrIyBa5d1LN9rQF3N28mjHmH/v0HFijbUBApKck4ehSt31MQTl5yslKNRbZp0MOdDT88otFAv2IDmS1mgdPrntDhs1oFfi4SiWgzNYz175zh5JxrNJ9adCbZU8RSMZV6+DHmrWH4+vsjEUtwcXLh0qWLhLxdqURjpD1K4+K88zSe26NYY+npXCuPqY8+OQdJhMCFs9dxL2C5ZOjQN9HpdXz/9jf4DaqBV7tKyDT/Wnq5E8+Fqdvw7FsPzx51EEnyf58yOxs8e9fFo2cd4ndd4e6Hq6jwaW80oSXzari0DiN62RFMGdl5SqHkPIon8vuNyDxc8J/1NjKXgmNxJHYqVDWCSfxzF64dGxTYpjhsq1UAswnDgycoKvgic3fG6Y1OOPRqg/5BFBZtDsbYRLJ3nWT6lGk0aVJ0NltaWhoHjxzC7Z1RKMr5FdlW5uGG0+RRxH43p0SilJD73Tp060D6guUs/nMh70x6r8B2ffsOwGgy8dHHH6Bq1xp13dqIC4khEiwWcm7dJmX7LhTevrj17Ps80FwiwaFvf879PJPPPpvOhi0bMQmQtGMLqQf2YtewCXJ3d1KPHMDYsh0yh7yGtyExnqz7d+jRo0+Jjs/K64nVYLLySklIiOfhg8e0aF14HNCdW0ays41s2bSJSpWq0717bxYvmUuXgcoi5QNcPaSMn+7KiPecObQji/07M0lLNqPX5Sp4J0SLWL1qO3Xq1Cu1vopcLsdctN1TIIYcC1J50UZZ1M1sTNliji5+TPORRXuZ9s9/gEIjx79O4R4rkUhEx09qsLDXQUK7BeIakt8rUxD+DT24uuEBtp1tEcwCccnxZF/P5sQXxwjuEULFvpWxdSk8k+/uhtv4dayEffniY7xenGuViQ052Hs1RmPhJ3jM6PGEVanK7N9+5sSfy/FoVgGxnYyoHTfxG9satzZVit+XWIRH5xrIHVU8+GojIT8Mwsav8PP4FKlaicxehSk165nBlB0ey6NPV+PUvxX2beqUqF6gMSkduU/JPVt55y5G5uWKKTUdBc8NPbFCjk3l594huZ8nQ94cyPXLt1GrC/de/PbHPGya1C3WWHqK1NkRx54dyThwBNuwkiUoiEQilC0bs/DPhUx86508sYgvMvCNwZQvV4EZP8/gwhffoqpZA3mNqkjt7EAixpKdQ87tu2ScOo1YrsShUVM0devnO+dimRxFrTosWrEUjwFDcQgoB4KA9vYN4jeuxd5OQ5XQMB4u/R27dl1QhVQGQSDr9g0y9m5n2kef5ItltGLlRawyplZeKTk5OdjaSp8V1n2RyAgTA3snM2xACtlGMX2GyTl4/Htq1Qph3979dChhfJJCKaZDbztmLPHmj21+LN0XwMIdfji7KjEYDGUSowsJqci9y6mYjKWINTJauHchs9A+FrPAnt+fcHFbFiuXbeTsykR2/XwfndaUr21OppHtP9zl3KYYes3K/7D4O2oXJdV7BnD1r6LLeLyIQiPDYrLg1zwA/1aBVOpbmS6rutNmTjtyknLYOXQryXeTC+xrzDbycM8DAruXvNzFU+R2SnxaVmDp8sVFtmvYsDHrVm7i1LHzvFGtO+bzqbh1qF4iY+lFnBoF49GzDlELD5a4j0gqxmLMLTliStcS8eVfuAxtj0Pb4uUNgNwCwCZzkSKRxc5BJkUw5r82XsS2ekXkgd5s2LCu0DYZGels3rwBmyZ1S7V/29rVMMbGY4gpXIH97ygqlEMvEXHgwL4i29Wv34DN67Zw/Mhp+lathWnDFmJ+nE3MT7+SuHQlhqhY3PsOxPfd97Gr16DQc66pVx+zXo/c0xuRSIRILEYdWhX3PgOxsVVxYO9hvv/sK+Rnj/Poq4948OWHpO7chKujE5mZmcTHl/zYrLx+WA0mK68UV1c3cnLMxETnrXf15LGJgb2SqdPUhu1nfPjoO2fGT3Xku981zFvthNJGhL3jP3jYiER4B8jLfEMUiyUY9AYuHUgtcZ9LB1JxdXFny4xo5gy/x4VdCUTdziLieib7Fj/hi/bXuLNPwq4dh2nQoBEb1+/k1OrHfN3iGBu/uMWZdU84s+4J6z+7xTctjxP7UMfQFc2x9yxerwmgRq8A7u55jKWEejLGHBPSAmKenCu60OjTJtQcX5v9b+0h5V5+o+nJySjsg5xR+zqUaF9/x7tzMOs2ri1RW19fPwYMGER8bByefUr30H+KR9eaaG8/QRdb/PcpWARMGTnPZAiif9+Lbe2K2DUruYaQSCxGrFJizsop03wBzJnZRZYbeYqsRW3mLfyNwsJTDx8+iCrQD5lL8cumLyKWy7CtXY3sy9dK3EckEiGqUpETJ4+XqH1AQCBffv41Y94chWOd+gR++hV+70/DY+AQbMqVL9Y4lWrsENsoMWflrbuoCqlEWno6d+/eoXPnbgT4B6CwVeFUvxkuXftjrNOEpQcPUatuNRYvXlDi47PyemE1mKy8UlQqFd26dWfNirzFeL/9MoMu/dS8OdEBhTLvTVFtJ8FW9c/VyCVSCzpd0UWACyIuLpZ+b3SlWmtnts9/gj6n+OKm+hwzO36L5923p3H92gNG9JnOlXU2LHsnlr8+SkJ/J4T5v6zi6OEL+PsHAJCcnIyrnwvD17RArLHlztl07pxNR+aoYsS6lvSZ0xCNW8nlBxx8VCg0clIeFVy09+8k3ElF4124F698pyBqvVWbQ5P3Y8jU5/lMl5yDyqvsejoqbztSEgv2XhXEshVLcG4UjKyY+maFIVUpcG4ZSuKuS8W2zbjyCKm9LTI3B7JuRKK9FYXr4Hal3qdNpQC0526WZbqYUjIwPI5DUb54jTWb6iEkJidy+/atAj9PSkpC5FC8llVBSJ0csGQVrmJeEGK1iuS0lFL10Wq15MTFkrR1M4mb1pO8Zxf66Ccl3KEkV0zzBURiMVKFAp0uh2Ejh3A9LgHvtz7CpU1n1EGV0FQKw7lrP7yGT+SrGd+wfv1fpZqvldcDawyTlVeCTqfjr79Ws/avhcTExJKVpUWvN/HBx3bEx1k4c9LAtB8Lroau1ojIyrAUWUerJCTGa5n541doNBq6du2R57OHDx+wbdtm4hNiMVtMONq70KpVW+rUqcu8+bOp1MSWAV8EsuCdW/w64S5v/RqCjbpgj5dOa+bXCXfJSDLTt+8ApFIpgwYNZdCgoUXO7+7dO7hUUOPkp6b5xNIvbRWEe7AdSeHpuAQ5FNv26voHhAwoujZhULcQoo4/JnxHOJUHPJ+jxWwpMOC6pIgkYsymopebXmTdpr+wH1O/zPsDcGsXxt0vNuM7olWR7RJ2XMKpQy1EYhHJOy9i374eYpvS1y+0b1+XxMU7se/QoFSyAgDpB85jWzsUiab4UhoisRilqzMJCfEFpvNLJJLcJcKyYLFAKb9nwWRCqSrZ+UpNTeHLr79g3fo1SL18kKjViKRSTOlpxP65AKmjE46t26KqWHAclcVgwKLNQqLKW1JKHxeDRZdDVpaWC5cu4TV+KmJZ/iQOhZsHTl368cXXn9GzZ+9C466svJ5YDSYr/3a0Wi19+3XALDxk8EgJAeWk3LmpYf4vWezblUzzVlKq11FgV0DdNgBHFwkaezE3LuoIq102Re+sDDOP7hkY+oGUD6eP587dm7w/ZTr79+9hwaJfuXjxArXbO+PsI0EsFhGbbGbFyPk4Objx5EkM760ORSwRMeLHSiz76C7TO1+h5QAPmvZxw84p98abkWLk2PoEDq+NJyBMg0hi4vLli9Spkz/9vyB0Oh0y25fr9JXZSDHri/eIxd9MITM2G7/mxUsbhPSuxLkfz1CpX+VnYo5yjQJ9amKZ56lPzUFtX3KvR0pSMs7uZfdoASg8HDClFV3QVns/lsyrkXhP6oo5x0DGuXsEDOtcpv3Zhv0rCPn87VxByhJizsoh8+AF3N4ZXOI+IqkEo9FQ4Gfe3t6YYosvpFsQhth45N4lS/9/NpfEFHwqFp+tGRcXS8eu7dE6u+A5cTIy57wB+c4dupB1/SoJ69bi1Lod9g0b5Rsj6+oVpCoV4hfkFEwZGaRtWc/YMRNYvmoZttXrFGgsPcW2XBCZIjFHjx6iZcuyiWpa+d/EajBZ+bfzww9foLF/yOwFqmc144IrymjbyYYhvdLZv1tOaI2Cb+4AEomIHm+o2boyrcwG077NmYTWUdF+oAu1Wtjx6Ru/ceLEUR4+vk370c4M+LlaPo9R36kCa7+PQC+V4h2c+2YvU4gZ8VNF7p9P5+iaGLY1v4StXe7PKDvDRFgLJ4Z+F0JQHXt2znvC0uULSmww2djYYNS+3PpVhmwTUmXRP3N9lpF9X5yn0htVkMiKf6P2qusNFoHY8zF41fNGEARkahkJZ6MwZOiQ25W+tETMwQe0bFm0p+dFTAYD4hLMtSjEcgmCyQwCUIC9lBOVzP2P/8LG2Z7sO9GIFTJkHk55NJZKg0gsxnVkZ+JmrUfqbI+yQvHLaxadgbgfV2NTvSLyciUveWRMz8LBoeDsyGbNWiJkZKGPiEIRUHLBSHOmlpyrt3DsVnKD0ZKTg/byNXrNLjouSKfT0bNvD3ICyuHYrmOBBqxIKkVToxYKbx+i/5iH1N4OVejzygaCIGC8cJbQ8kHc/vFrNEEVMWamk/U4kpat2jBxwiTad26LonrRnkmRSITcy5fw8PtWg8lKHqwGk5V/K3q9ntVrlrN8vSpfgV2lUsTE95V8M13C44fmIt/0u/XX0LNpNCmJJpxcS3fZWiwCW1amM+TD3DdjF08ZQTWkPLh1jY83hGLnXPDbpkQqQqmWEFLPIc92kUhEcF0Hgus6kJNlIiMx19izc5Fj80Ix3sBqKo7/cafE86xYsRKJf75cIdGEe+k0CircE5OdomPrOyewr+BM6KCSldURiUX4Nvfn3DencfRzJis+E7FJTEC5ckTtvkv5ftVKNUeLycyT7Xf5efl3Je6jstNg1urAuWzGC4ApU4dEpchX8sSsM5J67BbxS47z8ZSPkUqk/P7n7yQmJSAPK7rwbbHzrlYB1xGdiP12OS7DO6FuWAVRIcs++sfxJM7fjMTZEeeh3Uq8HG2IjMWSpSUsrODvQS6XM3zwcJYdPIykZ3tEMililW2x42ceP4tN5RCkDgVfT8aEJLKOnybnXjiW7BxEMhlimZTy5Svg41O0YbZly0aSjAac2nYodh5yN3fcevYhec8ubCtXedY+8+hh1MDO7Xs5efI4EyaNR5+Tg2OV6ly4c5ew6pVwdHTCotNhzEhDolAiVhRi3JvNSKWl112z8r+N1WCy8m8lISEeMFMhpOCbT626cqKi4vDxdeP8SR11GxfsQXJxk+BfTs7nExL5cYU7aSlmjAYBF3cpCmXRy1gLZiQjV0qo0TQ3oPnEjjTuXMnhk3VhaJyKvikadBZkNoW3sVFLsVEX/DOSK8XocrKLHP9FwsKqkhiZijZFj8qp9DEyfyflcRa6DAM5GYZ8xmhmXDbXNz7g+qaH+LUKpM67pdOmUjoqqV21LsMGj8TZ2ZkaNWpx/PhRxrw7Ar9OFZGpSz7/yB130Gfr6N6rM3KFnMDy5alTsy69e/ShZs3aBc4rLKwakZciSqSjVBjplyKQ2ihI3HMFqVqJxWDC8CCR5IPXqVy5Cj8sXEHz5i0BGDVqLG+/PY59WY/KvL+n2DWpitRBTeKyPSSv3odd69qoaoYgVtkgGIzoI+PQ7jlLdmQc9p2aYN+tRZExT6a0DAwRsVi02SAWYzh/i/79BuYrIisIAufPn2PxssWcOHmMtNhY0q9cRzCbEdvYoAjwRdWwFrbVQvPJH+juPyJj1yHc382vgm1KTSN51Qb0jyJR16qJc5duSFQqBKMRfdRjHp8+Q9WaoXz56Vf06lWwMORvC39HXrfksV22lUJJ3LYZ7fUryN29yL5yEcv1a+zcuR+j0chbk8ZDWE18GzZ/NqY2/C5Ra5ZgiXiIWCbHYjSiKh+MY4NmqMoFPxvbYjCQee8WjRo1KdFcrLw+WA0mK/9WNBoNOTlmsjItqDX5b4aJ8RbUaiXvTf6Ebz/4kPl/yfD0yX9ZHtmbTewTMU5OTvRpGIlBb0ahFGM0CLTtoWHgeCdc3PP2EwSBxT8lc2hnFt+vD3rm4dq2JIme7/gVaywB2GqkpCaVQbES0Kab0NiVPC5Ho7Gjdds2XN/6mPrDg8q0zxe5uvExoaFhHPnoKlK1GAdfDTpDDrosI8nhafi3DKTFT21wqVxwsH2RCODl5UP79h2fbWrevCUtGrXi7McHqfldG6RFGJpPiT/7mBu/naLCe+2wD/XBYjCRHZnM/ltX+GvwWny8fJg14xdq1aqTp1/jeo04s3AW7t1qlSkRQBAE0nZcp3urzqQ+SCctIxFbW1uCAmowZOevhIRUzNNeJBIREBCI+GZkqfdVELZh5fCbOQ7dvSjS954n9rvlSIwW1HZ2+Pj60mvgWL7+7ktUjWoUaESYs7LJPHqRrMPnMKdmIPP1RGKnQTCaMD6OYcnl2zx49IBxI8fRrFkLIiMjGPf2WG7fv4uiQR0Ug3vj5+WZq+1ksWBKTEJ37wEZuw6RtnEXTkN6Y1OxAoLFQvbFa2Su2Yqbiyv6s5eR+3g/m5MxLoH4X/9AXbs27oOH5FPpVvj7oWnUCN39+7w3bQo3b91ALBZz5cZ19AY9Lk7ONG3YmIfh9/HpN7BE506wWMg4cwosFhLWrc2di0WgT+++qFRqNm/egElth0vjlnn6qSqE4NCwGYbEBLz7DMWsyyHj2gViN67CuUkrHOs3BSD9/Akqh1bJdw1YsWI1mKz8W3FwcKRxo/ps/Os6Q0fmz/BZu0JPz569GTBgMGfOnGBQh430GqyiY08Vdg5iIh8a2brayMnDOurWa8iDiPO8870HdVuokUhEPHmoZ+PiFMb1iOLXdT54+sgwGQVO7Mti47J0MjMFvv2rAk7uuQ/v8OvZxD8xUKttyTRoKtWzY/574fT5SEAiLd2D+eq+DJo17lLi9lFRjzEazJxcfJdqPf2xsS95kdi/kxmfw7XNUezadoigoGBOnz5JQkI83//4Dc6NXGj2YzsU9mX3YulT9bi45fXuiEQi5syaz4gxQzj39i4qTa6PY6WCS9mYso082nqTu8svUumzbjjWCnj2mY2XA84NyuM7tAEJe2/Ss19XRo0Yy/QPP8VgMPDRx1PZuHUDFrGFjCuR2NcIKHAfRaG9G4slNYeff56DrIgA4Bfx8vJGdPTlLZmKRCJsQvywCfEjde4W3ms/gBEjxjz7PFuXzbxZi3H8cDiSF+KmtOeuk7xsO4ry/jgN7IkipHw+o8qcqeXK6YsMf2sU5bx9uX/3DrYtGuPyxvuI/lZfTiQWI3N3Q+buhrpxfbIvXyPpj5XI/X2QJKdhr7RhzfK/qFixMr0H9CR63mLkLRoj9/chft4i7Fu0wL5p0yKPU+bmjsXVlXnz52BfsxbywHKIZDLC09M5NmcWJouZjIvnsK/XsMhzJlgsJPy1CmNiIu7d+2FbIQSRWIw+IY79p45ytF1zqlWthqRCwcaOJrQq0av+BECitMGxbhNU5Svy+M85yN09McQ+IefcCebsOlDkPKy8nlgNJiv/dj788Gt69+mAWg1detoil4vIybGwemkOOzaZWbZsMC1a1iZbl0CzjjacO6lj7Z8ZGI0Cbm5ODB40mqb1XJm/8At+2uiB2u75coFPOQWTvvFkxaxE3hsUTa2GNpw8mI2jq5QOg11o0sUxz5Ld0a2pNOrhiqyYciVPCaqlQaWRcP1oMtVblXz5JzPFwOUDCcyc2ovff5/LuUunSEtPRSFX4u7mSe8e/WnUqElu4VBBYPnyJXz+1XQqdvbDr547e7+7SrfvCl6OKg7BIrDvq5sMGjCUSpVy06+f1haLfBzBxovr/5GxZDFbiDnyhOa/tcz3mVwuZ9ni1fzy60/M/2geCjdbPLtUwC7QCbFcgjFDT8zRh0Ttu4emoidhM/uhrlBwuRCxVIJHp6o41glg5adrSEiI5/GTKO5mxlB+3gjST93h0dz9hM4ahMyu5MkAJq2e6F8PMnHcpBIbSwBVq1Yn5+toSlZopnQYH8ZStWr1PNsmv/M+ySkprPl6IZqRPZAH+ZG2dg/aszdwGTkAZaXCvZASjQpN26ZYmtXn0YadGETgWLVyPmPp74hEIlQ1q6EI9Cfx5/l0btWWub/+/qzm4u5te1m1ajnzF80nPiEeRUBgkcYSgDE5mdh5v6GuWg2PgUOQ/K3YtdC4CZrICBLWrsaUmoJz+8KDyjPPn8WQkIDviLcQK55fwwo3DxTd+5G6bwdXrl1FCClY/d2s0yP6W2yS3NkVh3pNiP1rKWFVwpi7cz9BQcEF9rfyeiMSCpODtfJakJj4coOMC+PcubNMnz6RqCeReHjKePQwCxECRqMIhVJMpWoKfljqhuQFjZfDO7OY9XEWBw+eZeTo/rQdlEKLbgUHnBr0FgbUvU/LXk406eJAULWCg1hnvh1JcEMnmvUp2PNREEfWxnPorwSmrKqGXFmyzKylU+8Tc11CYkIS5eq6EdDYARs7GWajhdQnOdzYFofGxoGRw8bz4NF9tu3bSJtva+Ee6oQu08Bfg/dTqbUXzSZWLpXRJFgEDnx/E+1tGbu3H8bmbw+nhIQEatUNpeuGHtg45xd9tJgsJFyNJzspG1OOCZlKhtpDjUsV12fzeHLiMQ9/f8DZE1eKnJvBYGD37h0sW72ERxEPiY+PR+Guwb6GP55dq2PrU3KlaWN6DpfeXIqqnAd+n/VGLJMiCAJR83ajC4+l4te9kTkUr1FkytRx+6O/qBsQxtqVG0p1bk0mE8GVA3GaPhBFQP4iwWXFEJtM/LRF3L35MN/3BbB02Z98/+N3aI16zDIp7lPHIbErXZX7rBPnSdu0G48pE5C5lszwN6WkkjxjDutXb6RevbyZZUajkUphQagGvoEyMLDQMQSTieiZP6KuVRunlq2L3l9mBtFz5+DYsjV2dfJnsgmCwJNffsS5ZQfUlQoziHRE/fQVcltbPN/6II+8AEDshlXI7BxxbdUxz3ZjRhqRc78j5knSP9J6Ky2urqX7Hq38Z7EqfVt5JdStW4/9+88x5b0viXyUw5Bxduy84Muxe75897szackGZn+WlKdPi05qmndS8vsfv3L54g0atS/85iJXiGnQRoOrj5zg6qpCb3pGg4BUVrrLvklvNxzdZCx69zYGXdGaRoIgsOzDe1zYm4BfS1tGb2pM71+rU7tvAKHtvanaxZdm44IZt6MJ9d9xZ/6aGaxZv5xOv9bHPTTXgFBq5PT8owW3D8ayZep5slP1Re7zKZkJOWyedBHdXTlbN+4q8OHr5uZGm7btCd+St8ZcTnIO1/68wqae6zn9/WnC90QQdS6OezsfcnT6Ebb238ztdbcwZBl4uPEBY96cUHw2k1xOt249WbdqM7Y2KgKGN6HmwuGUH9+yVMYSQPq1KASpGN9pPRDLch+CIpEI33Htsa3kw/WJy4nfdQVzTsHyFBa9kYR917k+aTlIJMTFx2E2F69P9SJSqZTBA4eSvf9iqfoVh3b/Rfr07lfg9wUwbOibLFmwFEFvxG3y6FIbSwDqxnXQtGhA8op1+VSwC0Pq5Ii6R0cmTBqH5W99Dh8+gEitRhEQUOQY2qtXEdvY4tiieMkIqcYO1959SD1ysMA5WrK1GJMSUQVXKnQMiVKJJigED2cXktctQ5+QWwrJlJVJ4p5t5EQ8wLFe/mBuia0as9GIqRTiqVZeP6xLclZeGSaTiV/nfMfX8xxp0Py5d6NOIxvmrvFgQOsYOvbRUana88DRtj2VfDd5KyKRCGkBBXtfRK4QYTEV7TBV24vJSi1dELdEKmL87CDmv3ufGf2u0GGsHzVaOyN5wfASBIGHlzPY8lMUETfTGTC3LuXqFx5MLZaICG7qTvkGrmz5+DL7PztLz9+bP9NM0rjb0n9FG47PusKCHgep2S+QGj0D0Ljnf6imPdFyeX0E17dEM3DAEH7+8Uf0egFTITXk3p34Pl16tMO9tgeuVd24uugKt1Zdx6NRALU+bYtTVY88xpBgthB/9jGPNt/g0rwLqG1U9F3Rv8Tnb/funaQYM6nUrXqJ+7yIxWAifM5B/N7pgsQ271KiSCLGZ0w7NNUCSdx2nseLjuDSqgrqYHckNnLMOUa0DxNI3H8dG39XPAe3wL5BMI8/WM2qVcsZOvTNUs1lxPBRLGm+GNv2dVD4FryUWBqM8SlkHbnM2D2zC20jCAKTpkxC06cTUieHMu/LrkNLsi/fRHv2IuoGdYrvANjWrUnq/qMcO3bkWcYg5CrjS318ijWaM06ewr5hoxJ7bWwqBCESi8kJv4dtcN44JMFsAbGkUBmGp+hNZpo0akx8YiKH/5yH3mgEwYI6pAp+b05Eqs5vcBoSYnFwdinVEq2V1w+rwWTllXHs2BE09mbqN8t/w7J3kNClr5rdGzLzGExqjRiD3oC3rxvXz2ZTrUHByy4Wi8CV09mMbl+056JKXTV716XQbrhXqeausJHw9rwQZo2+y7Yf4tj4bRRVmjmitANjDtw4kkJOtgmzxUK1br7413Iu0bgSmZge39Rg7aTzHPv5Ci2n1X6+T7WM1p/UIa5HOa6uvc/8LvtQuShxC7JHZiPBkG0i/k462al6JAopoRXDaN2yHba2tuj1hdf7CgurypxZvzNx8lgcqziSGaOlxfL+qDwLzugTScR4NAzAo2EAafcSufDBXub/MY8unbrx2x9zuBt+h7DKVRk/5i3Kl88fV/PHn/Nx6loln95RSUk6cR+5qz12tcoDuQZE+pl7pBy4hjlbj6ZGIK6da2NfPxhdVBLJ+6+SfPoBZq0eia0CmZs9Qd8PxibguYHj0Lsu8xbOZciQ4aVagnFxcaVxg8Yc+XIZ8nKe2DWtlqulVJZYM7OF9D92MnbU+CJjZk6cOEZSRhqaoABS/9qG4XE0UmcnNK0aIfcvuZilSCrBvnMr0rcfRFW/ZPFxIrEYad2a/DrvF5asWEJMXCyN6zdCKhYjFBMPZdZmo4+KQjWq6HI7efYnEqGuXhPtrRv5DCaJSoVYIUf35DFKH78C+wtmM7rHj1gWfgdnv0DEcjnOdnboRGI8ew0uXNH98hkGDRxS4nlaeT2xLslZeWUkJMTj4y8r9KblV05GSlJel/jFkzmEhVVl+NBxrJ2XhsVSsAfp5J5MUhJMyBVFPwQadXIgOjybqLulKyAKYDJaiLiuY92aXaxduZ3WYeOo6vgGqXedkKlkdHw/iB6fVCLxbhpr3z6HUMhc/45YKqbzJ1W5szOSnLT8y28eVZxp93V9xh7rSccfGhHY0hePmu74NfZGJBXj38SH5p/Wx6apiJEThjL7l1nF7rNLl240a9yC9KgsGv/Ws1Bj6e84BLvS8Pdu/LZoLm07NOey5B6ynh6c0V2jTYfmXL9+9VlbQRC4e/cOF8+cRe6iJudJaonPyYvE7b6Bc4fnpTXi154geuF+7GsF4t65Jtm3orj/4QrMOgNKXxe832xF4LTeVPhmIIHTe+Mzqk0eYwnAvm4QSWkpXLlSfPHdpxgMBrr17sKF+Ie4DO+Aum4lktcdJmnZnlIfk2CxkLpoJ95SNVMmf1Bk21V/rUIUFkL89/MQLGbs2jdD6uZEws8LyblecmFUAJtqlTGnZ2CMjS9xH7Nex6mzpzknNhNbrTKrz51g8bI/ETKKLupsyclGYmNTZBmSgpBqNOhjorHon/8WBEFAH/MEsUpD8uG9FBZ6m3n1IhK1BpFUhqpVZ3wmTkNSqxHZSQkk7dlUYL/0y2cxPLjL6JFjChjRipXnWD1MVl4Z/v4B3L+tx2JRIS7A23D3hh5Pn9yba0yUkX2bMln3p5YJ4xqjVmu4e03LD5NjGD3d/Znat9kkcGRHBr99HkfXN134dkwEX64oR7nQgqvYK5RiarfQsH1+NONnP3+rz8kycXZnMglROkwGAbWDlGrNHfGv/NyjdWxDIiEhFZ8VNK1RoxY3blxn4ZK5TN5VHxtN7tyrtPFgVo+ThJ9MIKhJyYLL7TxsCGzgyq1tj6g1pOCUaKlcgntlJ9wr53rRzi66hVOQI62/b/LMCPWu48HHoz6mZ48B2NgUHgR95coljp06SuMlPZFrSpcxZ+uuQeaqpHzX2vh3yT0X7g0DkToq+fybTxg28E0Wr1jElUuXsAgWZK5qHi04iiFFi2A0o6noiXu7Krg0CUIsL/oWJFgEMu/G4jOpKwDGNC3xG04TOn8kCncHABwahnBv2hpSDlzDtXPtIkZ7jkgiRl3Fj4sXz1OjRq0S9dmxYysRafG4fj382bKQqnYIEW/NxqFDfWTuJcufM2dmk/LHdty1IjZu3IFcXrR8xPmLFzAoxaib1sWxV3sAbKtXQubtRtr6HSirhJTYwyWSSFCU88cQGYXcq/DAdcFiQXcvnMzjZ9HdvIPHuFEoy/0ruDusCqmr15Fx5Sp2en2ebLU8+5LJsBiNpS6abTEZ0RiNxP7wNWpvX5BISIuNRjCZ0FSvg/buTRK2rsO5TSek/yqyK5hMZFy9QNKe7XgPGknW7RukXzmPe4ceONRuiDkuGmP4HRL+/BV51drIHJ3JvHmZ7Pt3sOh1ePv5s2vXdgYPHm5dlrNSKFaDycoro379hshl9uzZrKVjr7wlLWKijOxYn8VX8z349v0EjuzKok4zNS26qVm9bg5x0Vl8uiSAQxtSebPFAyrXskFpK+bu1RzsHKV8OD+QsPpqNI5Sfv/0CT9szL/EkZVu4uCGNC4c0KFQKtmzOJZa7RzZuSCGM9uTCKxpj09lDRK1mPg4AzPfvI27v5K2QzxQO0rZOjueDev/zDPmmTMnCWns+sxYApDKxYS2dCPyYnKJDSaAOn392fntjUINpr8TczmRCp0r5HkYOVVwwM7Tjps3r1O7duE1sxYsno9v14rYuBSfWfZ3BLOF9LuJeLfKu/zm1bIChxet5NaTcBw6VabSiDdQuNs9m58gCBgSM0m7/JiYLZd4+McRyo9vgWvzwo9XF5OGWCZF5pK7jJt9Lwbb8h7PjCXILdXi2KQiGdejSmwwAUjKuXDm/BlCQ8O4du0KycnJiETg6elNtWrVCQ0Ny2PMHDt1DGnd4DwxNFJ7NcryXiRvOILbyE6IFYUbPxaDkayTN0hcuReZRcSaY+dwdCx6CdlisfDk0UPE9hqc+uXN7LKtWYWkP9Ziyc5Boir4BaEgZD4eGGLjCvxMsFjIPHqazCMnQADbKpUxKJXPjaV/oahRlexbt8m6dAm7Bg0KHEuiViNWKNBHRaH0K3gJrcA5PHrE+5Mm06dPDy5cuEJiYiITJ02g/PTvEEulmBu3JH7nJiJ+/hobv3KI5DJ0jyOQ2jvgPWgUNn4BGFOSybx17dmYykpVccjOYPrUaSxbuYyLuw5jlMpxb9cLpbs3+sRYvv/tN/Ye2Meq5WuRFrPcaOX1xHpVWHllnD17mvT0TGZMz+DBHQNd+qmxVYs5dSiHxb9k4+9fnuljHuHpL2X58QrYOeZenttXpnBst4Ww+hrC6msY+qGRa6eyMBoEuo92zyMh0G6AM6t+iuPL4VHUa2OLjVqMLtvC/StGTu5KpXGTJvy19kOcnJzo1KUVW+ZFUbe7J1M21cXFL+9Dp8dHwVzdl8DameHkpFlYtGBlPm+Eq6sbqU/yL6MlP8nGu3rpynb4VnciNTILi9mCWFL8armts5LM6LyyECa9mbTYdFauWs63P36DTqdDrVZTtVI1ateqS4sWrcjO1rJj+zaaruhdqvk9QyxCbq8kOyYDuwrPj1Ebk47MwYaQuf0LLp4qEqFws8O9XRXc21Uh7VIk4bP2kHT8PsHvt0eizP9mb0zPRub4POtR6qBCn5COYLYgeuEc6ePSkDmW3PjLeRRP+rlwdtx+wrEr55EGemC2U4IAkvNZGGZ/jyVbx+CBQxkzahxeXt54uHpgvnQjzziCIGBKzcKUkcOjMT+hrlcZZbAPCj83RHJ5bqmTqAR04dFknbmJzNMF13F9MRy6yKbNG3h74rt5xsvKyuTatavcv38Pg0GPXK5AsFgQ26kxJaYg9/F81tackoZIKkFcjIfq74gUcixZOfm2C0YTScvWYopPxLlnT2yCgzBnZZF56gyWnBzEL2TxmZKSMQsCGbv3YBsWhlSdv6afSCJBU68e6adPlthgMqYko30QTv/+A/D398LR0Z3k5BQQhGeGqsRWhVefwZgy0smOCEcwm3Fu2hql1/N6dYJgQSR6fn2YddlkZ2Xx4MF9Anx9uXj9Ov5D3kYsz/WOyR2dUZUL4dKqeWzevIE+fUqe1GDl9cFqMFl5JcTERDN4SE8mf60hMETDukXpjOkTR45WwNXNkVk/LaVBg0ZUrVaBT+Z7PzOWAI7tzKTdwOcZZw4uMpp2LXj5Q64Q06q3K2kPKhB72YnMzDQcHZ2oHliRGceHPCsCeu/eXUwmE30+r0itTgUvTUjlYmp19iCkoRO/D7/B6TMnaNu2w7PPo6Iec+PmNZ7cTebEiggavuEPIri2O5YHZ1JoP716qc6RzEaCSAzGbBMKTfEPwbCe5dn27gm8anvgHuaKUWfi1MzziOQirkpuYtfMAaXSjhytkQPhB1n//V/kvKuletVauNX2xda9bBowIpGIgO5VuDH7KDW/aI/SWUVOfCY355zEs2fJxTYdavpT/Y/h3J+xkxvTNlLlu15IFH8zmv42lm2QJ1I7W54sPYr34CaIZBIyr0aStPcqQTMGF7tPi9FE7KrjJO2+hF2rOviO6YXM1aHAtvqIWNbtP8Oypkv44pOv6NunP7N+/QmbOiGoaoeA2ULK1hNgEfCe8RbGmESyL94m62I4qdtPIRiMiGQyZF4uyAO88PjoTRT+uQaPSCJmwZIFTHzrHQCOHj3MvAW/ceLoYdReHki93BGkUkQ6PWI7NcYncaSu2YHMyx2ZuwvmLC3Jyzejalgbkax0t3EhR5fPEyZYLCQtX4slKxvPic9FIaV2dthUDCFp/WZc+vZErFSifxJN2v6DOPXsQebhw8TPmo37e5OR2ub3cmkaNODJjBnoGjZC6Vu00SRYLGTu3UPPnn2ws8urt2ajUqOLfoyNj/+zbVI7e+yqFrycqnscgdw5N24t9dwJEvdvR+Ptxx/7DqJLjCcrJYmkUwdxbdb+mWEllsqwrdGIpSuXWQ0mKwViFa58zXlVwpU//PA1tyIW8+FMhzzbM9LM9G0cw+lT17h9+xZffDeKWZvzBuiObveQt773Jbh6yTwIWxYlkHKrDg3qNyUzMx1nZwfKlQumQYMmzxSLe/bpgH2NeNqM8S9mtFzSE/TM7HqRndsO4+7uzrSPp7Br9w5C2/ngGKjk7IpwTDoLUqUYmUJC169qlDhT7ilGnZlv6+zk7fN9EEtLlo9xc9sjjv14OVdFW2vEsaILjb5pg9KpYE2flLtJnJl+GO9OIYQMKVnsTkFYTGauzT7B4113kNvbYMzS4965GgEjm5c6G04wW7jz5VYkNjIqftQpz2e6uHQujV1O2Nr3nhlihsQMImZuQReRiEStQDCa8RnbDodGRS9lmrJ0PPj8LwSpHLdxPZC5OJRofroH0aTP30rtkDBOnT2FSSZBRO4Sm9TVEbcJfZF5lM6bKAgCsWO/Y9vGHcycNZPTF88hb9kAVYNaiAtYXjMmJpOydB36h4+R2NthydJiWzMMx0E9EctLF3OT8Mti1HVqoapT49m2zKOnyDx+Fq+JE/LVgzPn5JC0eg0598ORaDRYsrU4dmiPXePGmLOyiJv1CyKzGU27tqhq1szj8RIEgbR9+8k4dgzPEaNQ+hX8exPMZhI3rMNw9w7ffvEtw4YNRyYTeGvSu6z7ay0iWxVSL188exdfb86sy+Hhj18SMHYKWbeuknL6KH79R6P08H7WxpCWwpP1f6KuUAm35s+vuewnj+DkHs6ffrlaW4VhFa78/4XVw2TllXDj1kVqtMxvBNg5SCgXrOHevbuF9pXJReiySya2d/VkJvvXpZIUs4sE00XUTiKM4SLu/ZqJQqLmzWHjad68FZcuXeTTn+qVeP72bgrq9vRgxowvOXv+DAFNHJmwp9Wzem8adxtO/XmPHl/XwC3Irkwp9PF309G425TYWILcoGhBLKLSkBp4NfFH7Vn0DdgpxAXHMFdkqrLXqYPcsiXVpzRDMFvIzoFy41sj1SiL71gAIomYoKkduTxqCUkn7+PS6HlslMLdDhBhiEtD4ZnrVZS72hH8wxD0samYtTpsAtwQSYvW5rEYTTz4/C8kri64jeterJbPiyjLeyP78k3Of7MCka0S35mTMDyOQySXIfcqQ+Fi/lVHzsuN3v17Iq1eGcdPJyFWFh58L3N1xv39cRiiY0lZtgGxWoVj/66lNpYsBiP6h49x6tP92TZBEMg4cgLnbt3zGUsAEhsb3Ee8iSk1FXNmFjIP92dGkUStxr5je2xOn8Ml8gk3d+5GXbkSFhsbxGYTpifRiLOzad+qDQcXL0IVEoKybv1cdXCxGLM2i8wLF8g4cwqpxh77lh344scZHD52mPDw+yRI5HiMmoRIIiVy3g/kREVg4xtQ6PEJgkDK/p1IxGKeLPgZk8mE38BxeYwlALmDE779RvDg9xk41WmKVJX7u9FFR1LVWhbFSiFYDSYrrwQPdx+iHl7Jt92gt/AkUoubmzve3t48fqAlLsqAh+/zB3rlmjZcOJxB1YZFGwObFyaweWEiXd7yp35XV5Tq55e3xSJw62QaK3/7mQWL5lK7iztKVekuf//qala8v4cuX9UktENe/ZuQFp7s+TY3yLSsekPn10VSuVvhZSb+zuMzcRyffY0WczrjGFRyb5ZUKcGsf0mKxiIRtgEuZTaWns1JpaDCO20Jn70P5/rln8UniUQi7MO8ybgYjmvnvGKLTw2okhC35gSCWFZqY+kpElslrtMG8fjdOWSfv4WqXsGlOUqKKTWDjKhY7Lu2RdO6cYn7yb09cf9gPMlL15M4dyluk0cXayy+SPaFq8i9PPKUR9HdDQeTBZuQog0FqaMjUsf851xVrRrx23eyZMFSFAoFx48fJSMjHaXShsDAcrRq1QaZTEZycjKDh/Tn0vIlWHQ6+Je3V1WpCu7d+mFTLjeBQV21OgcW/waA7+h3nxUWdu/ah+hVi/HsMxhV+fxztRiNpB3ag01cNIfPXOLYsSN8NnMGtj4BBR6PzM4RdflKZNy6glOdJhjTU8m6eJxxf64o0bm08vphNZisvBIGDRxB7z7r6NhHhU+AjKiHBlYvSGPf5tzg7V692zFo4Aj69RvAj+9t4bOFrmjscx8EnQY6MLl3JG+864HStuCHw941yWxflswHa6vh5pd/OUosFlGliSMV69kzvd0lghqW7i1SrzWxdWY47adXy2csAUgVEqp39+P8XxF0/rRaqcYGyE4zcHt/DEM2dyy+MaDPMrLvi/PU/rBJqYwlAKWTLdlxL2cpNjs+C/vgki1rFodDnUBkGiXJpx/g0vi5l8mjU1UeLjyOS6eyFSPOeZxI4o6L+M4YXyZj6SkSlQ3ub/Ui/tf12FQLKtIjVBSCIJC0aAu29WuWylh6ikgiwXlYHxJ+/IOMPUew71x82REAi95Axo6DOHbPu+yZdeocmgb1nxkmpZ6PVIpN7VosX7WMmd//RHBwSIHtDAY9165fxe/tD5AobRBMRsRKm3z7lSht8Bwyioifv8WclYn0X/FMmio1EEllxG1chdTeAfta9ZE7uSCYTegjHpB15QJVQquwdPdB3NzcMJvNyJyK9gDKHJ3QRtxD0GaQee08b02YSOPGRRcTtvL6YhWutPJKqFq1Ou++M50x3eL5dHwSo7o+QaGWsXB/OXbeq8hnixy5eHcpO7ZvIz1RzrBmDxjd9hE/TI7l+4kpyGQK5kyNw1xA6ZMcrZllM2KZ8FvlAo2lF5HKxWicpSgKMbwKY/fcR7iFOFCte+GBqzX7BnJjTzQxN9NKNbYgCByYdYuAxp5o3EuWHn5p5V0cQlzxbV5yj9RTfFsEEn3g/j/2MuUkZJFyNRanBuX/0ThPEYlEuHeuRvzevJloTnUCEQwmUo/eKtO4idsuYNeqNjK3knukCsO2annkAZ5knbxafONCyL54G2NMEg69SmYcF4RIIsFpWB8y9h3FlJxaoj5pG3Yi8/TApnpe75gpKQW5t3chvUqGxMuT8EcPi2yzbPkS7KpUQ2Znj1guR2KrKtRIk2rsUFcOI+3SmTzb1RWrUO7dT3Bq2BztnZsk7ttBwvaNuKYmsWvrbnZt24ObW24MpLu7O8bkxEJFLgHMyQl4iMy0Cwpgx9ZdvP9e0SKiVl5vrAaTlVfGuHFvs2vnca6ftzDmEw9GT3fHw1eORCqiXGUlIrERsTKTziNlTPnVn7qt7TlzQEv7VgO5eP4ehmRfvn4zmruXtXlugkc2p+Ifqsavcv7U5oKwUUvJySy5saDTmji9IYaW74YW6eFw9FHRdmoYa946S0J40SrITxEEgYO/3ibiUiqtppdMQ8hstHB900MqDiq9JwvAoYITdoGORB8KL1P/p0Rsu4lzk2BkdkUbqaXBvqofmXdi83y/+oQMpIKImPl7MaZklWo8i95I6pEb2LcpWe20Es2xbR0yD58vc/+MfWewa9+8SM2mkiBzd8W2VhhZx84W2U4QBNK37SP79EWUIRXgbwVmBYOh1NIEf0csV5CVVbTXcte+Pcgrl7xMiqZqDbLv51cyF0mlaKrUwHvgSPzHvItrh+4obW2pUiUsT7tmzVpiyc4kJ+pRgeMb0lLIefyA7Vt389PMWYSFlXxuVl5PrAaTlVdKbGwMthoRbXrnTRs+uDmdqIdGZu8Mpt0bztRoomHQ+x58vTqA5SsWo9Pp2bhhL60bjeKnt1KY0uUJs9+N5+e341n5UzzNB3kWssf8lK+h4eaRpBK3v7Y/Ea9QB5z8ijfIqnXzp8m4iiwddpKL6yMwZBdumCWEZ7DxvUtcWBNJmy/qorQv2RJP3PVkpLYynEPLXvw1qFdlHm64nlvQtAyYdEYebbuNR7caxTcuBTY+jphzjBhTtFgMJmI3X+bG+DVMGDaeYYOGE/3VJkxZuhKPl/MoAamjBpl70QKRpcG2ankMj+Ox6Ayl7mtKzUAfHoVt3Zdz3tRN6qE9U3h5F3NGJpkLVqO+Hs7smb/g8+AJCZ98T9aSNaTvPUTmiTMIJjMWQ34tsdJg0euxsyu6vE5mZgYS25JrZUlsVVj0xX/XIqkMnS7//GUyGd5ePjzZsISc6Ig8n+mTE3i8+nfUGjucnF7etWHlfxtrDJOVV8rNmzeoWl+ZrzTK3nVp9Bzjli9GqVyoLbVb2LNhw1+MHz+R96dM451J73P06CEiIyO5e/cOF4RlbJn9mM0/R2JrJ6VyQwea9vfA0b1gA6RpPw8+7XCJblODUDkUn2UUeS0dvzolTxuv1ScQJz81Jxfd5cCs21Tr6ktQUzds7OWYDGbSnmRzfUsC8XfTGTBgEC0qKVn5wRJafVkD3zrFK4PH307BqbJbmeJ5nuLTPIC7a65z47dThE0sXRyNYLZwbvoeNJW80ISU3FAtCSKJGKlGScTCY2ReiCIoKJjtm3dTtWp1LBYLqakpHJi2Fs/3O6P0Lf47yX4QhzywdIWWi0OsVCDzcMLwOBZlKeO39A+eIPfz+sfepafI/b2xZGoxZ2QisctNihBMZozRsejPXCb7zGX69enHF59+jUqlon//gdy5c5uzZ09z+doV0jLSua62I+tRBLYVS6YwXxDmqCgqVy7a46lWa8jMLnkNR3NOdqFlV17EmJaCm2v+a+HJkyjCw+/h2qQ9UX8tRubojMLVA2NaKrq4KJzrNkd77SwbN66jTZt22Ns7lHhuVl5PrAaTlVdKRkY6Gan538yT4k34BhWcaeVdQURsbNSzv6VSKRGRj5j9ywxsHKDbZH+8g1VI5WIyU4xc3J3AJ+0vEtrYkQEfl8Phb4aTk4eCSo0c2Df/ET0+Kj74Oy48m5r1S14VHiCwniuB9VxJepTJpXWPODz3LrpMIyKJiKwEHTO+/oVu3Xpi+y+xv2ph1Xn/w0n4NnIj7I1A3EIKjrfRZRoIPxiNS/2AUs3n70hkEpr+2Jb9o7cjEokIHd+wRNl9Zr2Ja98eJeV6PLX/Gv+P5lAoJgst3WoxcuOCPMskYrGYub/8zpy5s/lpykyce9XFqWNNpOrCM/RM6dlI7Epf/qU4JCol5szsUvczRici8yx5uZziEEkkSJzsSfpiNrYuzljMZrSx8dg5OdK9c3dGfTmbChXylrCpWLESFStWYui//r5w4Ry9B/VFaNumTEHxFr0e7YWLDPu+6KLPHdq0Y+Xx46iCK5Vo3Mxrl7GtULwRl3bmGKcy0pgydTKjR455FnR+6tQJHAJDcKrVBIdqDcgKv4kxMx21XxA2HfqSeHwvOVmZvDv1PQTjRNq07cD33/6Au/vL+36s/G9hNZisvDK2b9/CgkW/YjIZ0Ga4obJ7fnP28pdz/2o2ARXzx8OEX7HQu0OuYSMIAlM/eJv9R7cy5Gd/ytewy+dpCWvmRO8PjOz+/THf9rvG5D9D8SiXN5i6/0eBfNrxMg4eNrQY7ktR6LJMyJRly65yCdTQ9oPnD/3sNANzWu9jwIBBedp169aThg2b8Nv8X1g5fik2jgrcQh1Q+ykRS8XoUgyk3tESfTMeRxdnJLKyZ3s9RelkS+s/unDsvb0cG7eJoIE18GgYUKAOlFlvIvpQOFHrbxPsGUSUPhzB8vI1by1GMxatgc8+/RInp/zZf2KxmElvT6Z9u458+tV0Tr35G44NKiKr5IlteXckahsEkxl9TAo54XGk7b6Kok7ZPSeFIRhN6K7cQ1WrZA//p+huhiP1Lvp6Ky12zs5MHTKaSpUqI5FICQwsh6tryfWhatWqg5e7Bxk3bqKqVvo4nqyLl6hWvSblywcV2W7Y0Df57fe5aFp3QKouWiLElJVJ1s1rBLz9YZHtsh/ex5ytxW/I2+y5foF17Vow7aOPGTt6PBaL5Zl0gVgqxa5irgfMYtDzaPkv2Hj6EzRqOjK1PSZtJufOHqB9pzYcOXjM6m2yUiDWGCYrr4TU1BTenjSaL5Z4Ua+Vhp8/iMWgfx4/02WQI+t/iyc10Zin3+VjGdy5rKVXrz4AzPjhKw6d2sbk1ZWoUNO+0GUptaOMPh+Vp9UQL2aPvElGcl6vVvT9bNw9PLiwNpPl797l0eW0fNk02lQjh/98TGqMHl1G3nmVFV2GAVt1wZlwrq6ufPbp11y/Es7vPy2jV63hBGfXJSClGo2dOjJtzDecPXWVrh17YMj4ZzEnT7FxtqXV712QIebR3Msc6fcXdxafJ2rvXWKOPeTx7jvcmneGg71WY9mXxpfvfsX6NVvwKx+INjz+pczhRbIjk3B0dS7QWHqRkJCKbFy7mbs3bzO2cU9CHkDGrIM8+WANcZ9tQrXrAR1sKzO07yBkqaX3BBWHJFOH6Go46Yu2YskuPs7GnJlN+vyNSKKSkBhezrX0FItOT3BwCA0aNKJu3XqlMpYgNztxwujxpG7ZijmrdEH1ptRU0nbt5s3Bw4pt6+XlTb9+b5C6fuWz2CSzLoecxxFkP7yPPj4OQRCw6HUkrlmKRCrFklP4d6eLfkzs+uV4tO+F0s0T51Zd8Bo0gRk/zWTcuJEcOXqElHs30CfnvU7Trp9HqrLDq21fZOrcWEqpSoNri+7obexYsXJZqc6BldcHa2mU15xXVRpl8eIFbD80g+l/uJGjNfPdW1FE3dfTto8Dbl4y7lzJ4fC2LCRSEW37O+PuI+XaqRwuHkmnW9c+fPjhJ4hEIho0qs4n26vh5FVyocSlH9zBzllGnw+ep+DPHRVO/w5T6NGjF0uWLGTJ8gUo7cG7kgqJXERWkom7ZxJp3qIlCpkNiU43aTGpYG9CTrqB6GupxN1JIyfdiFgiwslPhWeoA+7B9nmWum7tiyZmi5htm/aX+VyuW7eGn9b+SL2Zzcs8xt85OHAbi2YtQywWs3b9KmLiotFma9Fo7AjwDWDQgKGEhj5PR39nykROmO7hO7z0OkJFEb32LFVSnPnzj+IfWlKpGEdHFampWkymgoPX79y5Tfse7fH87d1/FPP1Iqb0LKLfmsXlizf58OMPOHjkADbNa2HTIAyZl+uzVHnBbMYYnUjOyWtkH7tE5w6daduqLR/89C2aKaNeylwEk5mYtz/lxrV7ODuXTo/rKXq9nu69u3Lj0UMEuQyP0SORaIov2WFKTSXu9wVIlbZ4KOTs3bkfB4eipRtMJhMjx7zJ0bOnsWjs0UVFInNwRCSVYUpPQySTIhUEWjRuSudO7Zk85X00VaqjqlUfubsXCAL62GjSzp8k69Y13Nv3wqFK3hI/ObFPiFw+B+e6zTGmJZFx7wbuLbviVLMRABGrf8OpakPsK1bPN7/MBzexvX+BY4eOl/wE/gOspVH+f2FdkrPySoiOfoJvcK5tbqOS8MWf/tw8n82RrencvpLD3csmDuw7Q05ONrN/mcHyNftwcFPQfpgrcfFHadRkM40bNaVWO7dSGUsAbd705echV+k2yQ+5UsL+JTEkR4rp27c/Go0d7733IZMmTeHIkYNERkag1xtwcHCgxc+t8PT0Ys+eXUz/bhLC20Keh27c7TROLwvn3uFYnMvb41rJERtHJUaThTvHEzk6/y5ShZhafQKo3b8cMqWEiJMptKjf6x+dy9q16xI3LRqTzoRU+c9/wtkJWWTEpRMWVhW1Wk29evWL7TN88Jts6dcF70ENEL+E5UHIDSZP2XWTEb8tfynjAQQFBaOUytHdi8ImpOjiryVFe+YmdRo0xM3NnT8XLOXq1cv8seh39v2wkpzsbGxdnUEQ0CYko7Gzo327joze+h2hoVVISEgg6+3HqHJ0iG3+mTo6gCEiCmc3tzIbSwDfzfiGB6mpeL09meTdO4iZ/SsObdugqlGjwNIrFp2OrIuXSNu3H7u69XFo1Zb0jet4b+pkFi9YUuS+pFIpnTt0Yv/+vWgqVMazc19kjrlZaoLFgvb+bTJOHyHicQR9evemQf0mLFi0kGXL/yAnKwtEIiS2Khyq16fcqPeR2ec30Gw8fbD1CURm54Bb0w64JMXzaMUviCQS7CvXxKLPQaIo+NyL5Up0upwynEUrrwNWg8nKKyEwsBxntz7/WyQSUaWuiip1VRzekoZY50pQUDCZmRkcP36UsT8EULPV85thm8GOfDngAJNXlF57yDtEhWeQLSc3JpASbeTSzmy2bt6LRvM8DVoqldK6dbsC+7dq1YbJ75uIvpaKTzUnzEYLR3+7w8V1j6gxKIQhW2uhcskfeyVYBKLOx3Np2W0ub4qk7Qdh3Nr3hEXHhxawl5JTrlx5KlWqzOMDDyjXuWBV5dLwcMs9OnXuilpdMh0rgGrValAhsALx26/g2bPsRXxfJGH/TVzsnGjY8OV5rSQSCSOGjuDPfbtfisEkWCwYDlxm3Nc/P9tWrVoNfpvzB4IgEBcXS2xsDCKRCC8vb9zdPfL0d3Nzo3a9Btw9cwl1i4b/eD6GE+d5c8DgMve/fv0qfy5djNtb7yCWyXDt2oOscuVJP3mclK3bUNetg9zbG7FSgUWnRx8ZSdbFSyj9/HHr3Q/bkFyvq13nbhz69Wf2799Dw4ZN2Lt3F+fOn+PKjWtotVqUSiVhoVVQ29iwZMUyPAePwcY77/chEotRh4SiCqpE4p4ttG7Xnj079/Hl51+j0+Ww/dZ9nBu3RSxXFOsttK9am/TrF3Gs3gCFizsudVuQfHQnsbvXIVMoyQq/jjowf2xb9qNbtH2J15+V/y2sBpOVV0L37j354quPOLUvHW26hUd3dGgcpNRtqWLdvCw+mvIFABs3rqd8NVUeYwlA7ShFLBEREFY2F3blxk5s+CGCZs2as2/PXLy8Sq5sLJPJeHvCeyyc8QsDFtZmw3vn0esFBqxpj51X4RlYIrEIv3oe+NZ15/a2h2x87zy1qtfFx+efB/1OGv8e70ybgG/LcshsS1eA9UWyE7Q82nSH2RuLznAqiF9+nEvHrm1wqFcOG+9/pqKtT8wketEJNq7Z8tKWzp4yfNhI5i/8jeybj7ANLb0y+otk7jmHq60drVu3zfeZSCTC09MLT8+iZQwmjZvIiIljsG1Qs8BityXFEB1HztXbDJ2/ssxjzJ77C6qGjZC9UCNOXaUq6ipVMcTFkXH+DNlXryPo9YgUSmQuLvhMfBe5S944KYmNDcqmzXlnyjtoMzNRenoj8vZHHhiCRKEk02BgT1Qs2Q/uYjAYSL90FpmDE1JVfiNdJBbj1L47T1b+zqZNG+jb9w0Sk5ORObgU6hn6O1KNPeYX4p9sfMuhSYjg5NHTREU9plmLRmQEVsKuwvNl5qxHd8i8eZ5xs2aW9jRaeU2wGkxWXgkajR3TPvySTye9T0BlJTWa2vEkQs9fvSOoGlaNnj1zg7ofPLxPQNX8Szw5WWZs1GVf+rFRS2jWrAWrVmwqU/9Ro8axaetfLBl8HJWHim7zGiOVl2w+IpGIyt3KY++rYfe7Zzh//ix16tQr0zye0r59R+r8VY8bcy9QY2qDMo1hMVu4MuMMAwcMpWrV6qXuHxpahUkTJ/P75wsJ/rEXMvuSlXX5Oyatnoef72D44BHUrl23TGMUhYuLCz9+9xPvff4Biq9HlllmQB8ZR8aGI6zdtg/JP6hJ17JlGxrXbcC5DbvRDOpRpjEEk4nsFZv4YMqHeHiUTQsrNTWFvbt34llIORC5hwcuXbqXaKycRw9JP3wQhbsXbr0GI3ctIDW/YhWcmrXBmJpC8tH9RPz2Ax5d+6EOCc3XVCQWo6jZgLm//0bfvm+gUamwZJasBAzkSh2IZc9fJAypiXi5uSEWi/H29iEoKJjrO1eS6OSOjbsPusRo9IlxBAcH4+8fUOL9WHm9sGbJWXkl6HQ6fpr1DaO/9OG79cH0nejBxJn+/Lq3Io+jwzlwYC8APt6+xN7PH8CrtJWgyzaXef/6bDNHjx7hrbdH8fhxZKn7SyQS+vUeRHa6kQ4zGpXYWHoR75puNHwvjHETR5CT88/iJEQiEbNmziXrUhq3Fl8usl5WQVjMFi7POI1dtprpH31W5nm8O2kKXVt24t77G8mOSil1f11sGvenbqRF9UZ8+vEXZZ5HcfTo0ZveHbuT/O1KTGmlywSDXGMp6duVfPPFd/lKcJSFWTN/QfHgCVk7D5W6r2Aykbn4Lyp7+TN2zIQyz+HSpQuovb2RFqPQXRzaO7eJW7oY17Zd8B44smBj6QVkjk54dO+HR883iN2ylvSrFwpsp6kYxsMH4Vy9epmszAzSLpzg8erfidm6mqwHtxGEwlXqM+9ew9avApArI6C9fJI3hwwHYMeOrUTEJRA86jNc67REbu+MS81mBI/5jLgMLRs3rivjmbDyv47VYLLySti+fQtuvmJa9MpbhsDNR0HP8Q78vmA2AL169ePaiTTuX877ULOYLRj1AjHhJVcKfpF75zNoMTqQOMV52nZoytWrl0vV32Aw8MNP39Lum/rIbMrumK3UJQCZOyxa/EeZx3iKq6sr2zbtIfVQIuc/PoYupWRGWFZMBicn7ccmRsGmdduxsSl7LTiRSMTM737mrcHjuD1pLTHrzmPWF582bzGYiN1yiVsTVjOs6yDm/foH4kIKsb4MRCIRM779kX5tuxH/we9knStZIV/BYiF952kSv1jKN598zeASpM+XBBcXF3Zs2YXi4k0yl6zDrC2Z9IExLoGMWYsJUdixZvnaf+Tpun79GqK/xViVFkNCPAlrVuLVbyiaKqUr96KqUBGfIaNJ2L2ZnKiIfJ+LpFJEcgUdOrXhbGQsLs064VCjIQpXD+L3beXB/O/QRuavh2jSZpFx+ypKd2/Srp0jds08GtepQ5d/ecuWr1qBbaW6SORy7IOr4VqnJfYhNZAqbFCHNWTZyhVlORVWXgOssgKvOa9KVuDLLz8lxryGge/lXz548kDHZ/2jOHP6Bnq9nq+++owduzbRqJsLIbVsiHlg4Mi6FCqUr4RdcCJ9Pw4o1b4TH+fwdY9LTDvUAqVaysUt0eyfFcXeXUcJCMgb05KUlMSjRw/QarWo1WrKlSuPk5Mzmzdv4Ot5H9NjadN/choAiDofz5mv73D5/O2XYiRkZWXyyefT2LJtIwFdggjoEoTaJ6+gpyAIpIWnELn1PpH7HjB21ATem/wB8n9YdPVF7ty5zeQPJ3HjxnVc21RGXcMPdbA7csfcJTBjWjZZ9+PJuvqEpH23qFC+ArNm/EJYWNmKCJdEVqAgDh8+yIRJ4zA72iJrVQNV9aA8y3SCIGBKzkB77haGg5fxtHdmwbxFVKpUuUzzLIr09DQ+nD6VXft2o2xaD5tGtZE6OeRpIwgCxug49MfPkXPuKpPfmcxb499BKv1nERUfTZ/KpogInAqIxyoJgsVC9G9zUIdUwblJqzLPI/3SOVJOHCRg7HuIZc+vR0EQCJ/xMb59RmLrk/d3KggCmXeuErtnPd49hqAul5v8YDEaiFu/GI3FhNliQafTocvWolKr6dypK4729sydPw+jLhsQoQ4IwaVWc9T+ucK42TGPMJ/fw/nTF8t8PKXBKivw/wtrDJOVV4KrqxvXCva8Ex9lAImBqtWDEAG12rjRsIcTVw+nc25PCk0bt+Kv1e9jZ2dH67aN6PSWd4lqwD3l0IoYanT2QqnOvdxrdfcm4UE23874nAXzlyEIAqdOnWDhn79x6OABnLzskatk6LOMpMam07ZdB+LiY6nQ+eXUJPOp7YbefIWrVy9To8Y/zzBTqzXM+nEOI4aNZvHS39k8YhNimRin8i5IlFJMWiNJ4QnIpXL6932DNw+sIDCw3Es4krxUrFiJXVv2cefObVasWsqpTae4cnM7ZpMJRCLEYjEVKoXQsnYDBm/48T9WHb5Fi1ZcOnctV3l+2UJuLtiG0tEBhZMdgiCQE5+MYDBSr2Ejxs2cS/Pmrf5t3i97ewfmz13AxYvnmb9wPrs//QmFnQaFjyfIZJCjQxsZhVQsYdAbg3h/4XIcHd1LZSAWhkQsgX/wvqy9eR3BYMCpYfN/NA+7GnXIuHaR9MvncKz7PENNF/0YkUSKjWf+7EaRSIRdpeqIFUqiNy+n/Lhp5Dx5RObpQ9SrEkrP7j15d8o72Ndshkv5Kpiys1i1fiUytQPenYag8imPxaAn7c4lnuxehWvd1jjXbEL2k4fUqJQ/psqKFbB6mF57XpWHKT4+jnr1w/huUyA+5Z9nuphNAp8PCcergopze1P4aFUVPMs9XyI6sSmRLT8nc+HcbWxtbXlz5EBOXzgIYgtmowX3QFua9vekemsXJNL82VXndybw17cPmbCmPk7ez4OSMxJ1/NTxNAf3n2DSe+N4FPWAKr19qNItAFun57XnshJzuLElkjNL7tB7cStcC6nxVloOfHiBYa0nMGzYiJcy3lOkUjH29jZcuHCVW7duo9frsLVVUalSZfz8/F96BlpxmM1mtNosBEFApVL/Y6/Ii5TVw/R3jEYjd+/eISkpEbFYjJeXN+XKlf+3LhEWN5f79++i1+tRqdSEhlYhICAQuVz6Uo73KQsW/MbsrZux792vTP1jFszHLrQG9rWK1+0qjqy7N0nav4OA8VOfXaOxm1Yh0zjj1rR9vva6+GhSL51E++ge5pxsRCJwcnTkvXem0KdPf6pWr4RbxyGofHJfDGKPbMOQmohfl2GIxHmXMfWpCTxc8wveHQaSdGgDa1f+Rf36ZUukKC1WD9P/L6weJiuvBHd3Dz75+Cs+H/g5XUY6ULWhmsRoI9sWJyCSiEmO0dNpjHceYwmgcU9XTm/KYNu2zVgsZo4cOUDt7i7U6eKGQiXl4aV0ds1/zIl1sYybF4rcJvdmaDJYOLIqht1/RDFsfq08xhKAnauSSk3d6NytLYEtXBk2t0WBNdTUrjbUGRbM8Xk3cPR/eTc3tb+Ch4/yx1+8DMRiMUFBwQQGVvi3jF8aJBIJdnb2/+lpFIlMJnspgdwvg6dzeRXzqVq1Bsb5c8rU16LXkxPxEO9+b76UuaiCKhG3aTXGtBTkjs5k3rmB9v5tAke8n69tyoUTJB7fjWO1Bvh0H4ZYKiM76iHZ106xZ98eNBoNShePZ8aSxWgg7cZZAvu9nc9YAlA4uuEQWoeYXSuYPu3TV2YsWfn/h9VgsvLKGDFiLBERkWxeuZi9q5NRO0hp3N2Z5n3dmNr+Oj3eLfjBGlRPzoGDezlybB9vLa+Cd8hz7Rb3QFvqdHFn8Ts3WD79Hu3H+HJhVyInN8Th6G3LmGX1cK9QsCCjdzUV0Q8yaDktrEjPi8Wc64QVy16ex0EiE2MwGIpvaMXKv4kaNWpi1mrRx8agKEY76u/oY6KRO7siViiKb1wCRGIxCk8fch4/Iuv2dZIP78Gn70hkmrz3hKxHd0k6uY/AgW+jcH6ejadwdsc+tBbXti8ne8UypHbPk0v0KfFIbFQonQvP3rOrUBVlUhQTxk98Kcdj5X8Tq8Fk5ZXi7u5BtSbODPsyr3Ck2kFKcowev0r5NXJSYyzEh9+i5UivPMbSU6RyMW98VZFPWpzi3vl0Qpq4Mmx+bXxCi/ZsyJRinMtpil2mksrFSBRiclL1BSp6lxaz0UzqwywyNZmcPHkcf/8AvL19XvlymZXXj4SEBNavX8OxUye5efM6ep2OmPlzkHt4ovD2QRVWFWVg+WKvRVNqCjInl5c6N5mDI4k7NuDt64d9hUqo/PJ7SFPOHsG1Ufs8xtJTxDI5zq17cXnJTJQaewTBgkgkBkTFx2oJArICysBYsfIiVoPJyiulQoUgVq7PQRDy1mVr0t2Z3YtjqNrMMU8sUmKUjnN7ktDr4hi6sHBXucZZTmgzZ8o3dKN+v5KVwNCmGFHaF58lJhKLcAt2IPFOKqrGhRtMZqMZwQJSRX63v8lgJnx/FNc3PSD+RjJyjYIUt6OcmHaC1MdJKBRK2rfvxOgRY8ucNWbFSmGkpCQz7ZOP2LF9C5pKVZAElkfRsx9etioEswljYgK6qMckrFuLSCbDpXPXZ2VPniJYLAgmIyKZPNcAEb9cA18ikTB29Fjq12/ExI+m5rtHmPU6tJHh+HQtvLSQzM4Re7/yWFITSLl8AueaTVE4u2PW56BLikXpUrDIZ/ajW7Rr/M8zYK38b2M1mP5LOHbsGLNnz+bBgwc4OTnRv39/Ro8eXeibnsFgYMmSJWzevJm4uDjc3d3p0qULo0ePfqmp4i+bmjVrkxitZ/6UhzTq5kxYY3vEYhEt+rtxfn8q3w28QZdxPrj6KLh9Lp1d8xMZP+4dZv08s9jMOJW9jNh7JQtiFwSBK7tiafR2yTK1fGq6EHEyhoDG+ZcutEk5HJ15iYeHniAI4NfAg2bv18TBLzfm6cmFeA58cR65oy3le1ah7nd+KOyeB74LFoHMx2nc2HObrr070KZlO2Z8+xOOjk759mXFSmk5cuQQo8aOQBoUgte7HyHV5I/Fkzu7oqoYilOrdmTduEbC+rXYVgrFtVtPEIlI2bebjDOnsehykHt6oQqrijnz5SaMSPU6goMr0qpVG0S6bHQxkdh4Bzz73GLQIZbKii2PIrZVM6RLJ5auWErs47vI/SuhcPUk9shmAnqMQfQ37SpdUhwp10/TbNzLicey8r+LVbjyv4BLly4xfvx4ypcvz5w5c+jatSuzZs3i999/L7TPt99+y/z58+nZsyfz58+nT58+LFq0iM8///zVTbyUbNq0nrr1qlChpgqFWsqSzyOZ1vUGaYkGslJN+IWoib1vYcO3GXw74C6rvookOV7L1h3rkcmlxD8sWtwvNlzLxa3RPDibXOxcHl1MRZ9jplzjkpWVqNozkDs7IzFo84oyWswWtow/gtxByaA9vRh6qA/OlV3YNOYwhmwj5/+8xc6pp6g8qh4t/uiOf/vgPMYS5Hqw7AIcCR1bhzZre3NTf4fGzety587tEs3NipXC2Lt3N0PeHIxt5+44dutdoLH0IiKxGE3V6vhNmoopJYW4FUtJ2roZ3aMIfEe/TYUvZuLUpBXpx46ii4lCMJddff/v5MREERZWDalUyrjR40g/vhuL6fnvTay0RTCbMKQXrigvCAIZTx6x/+B+0lNTSH5wm6xLR6jo7oyXSk7Mlj/IeHgTi1GPMSuDxPOHePjXryhdvHlr0gSGjxiK0Vi88KqV1xOrrMB/ASNGjCA9PZ0NGzY82zZz5kxWr17N6dOnUf6tQGdaWhr169dnypQpjBw58tn2RYsWMXPmTE6fPo2TU8m8E69KViA8/D5t2zdm8uLylKuWe9MWBIHlnz/i7M5kBJOEzp270KhhCz7+dAot3vSibnd3bO2kXNwVz/qv7lO3uwf9Pw8pcPwntzOZM/wqvb6ozMbPbjFlVxNUDgV72gw5Zua9cYaQTgHUHVrweAWxZfJpVO62NH3/uXZSxIkYjs++Sp+/OufxBu6ccACFRkbczVSazemC2qt05ScebLrFw6U32bPzUKk0k15Wqv3/B16nY4XSH++DB/dp0boZTgOGYFuu9BmTFqOR6MXzMcQ8IWDydKQvZDsmHz1A2onDePYegqpCyX9DhaGLjSZlzWLu3nqATCYDLLwxuD+XHkTg1L4vMo0DKeeOknTqAPZV6uDRomuB42Q/ecTjDQtQOHng33U4ErmCzIi7pF84QIuGDalTqzYLFi8g8mE4iMRo/CviVrMlKu9ymA16Ynb/yYh+fZj6/of/+JhKglVW4P8XVg/TfxiDwcDZs2dp2zav2m67du3Izs7mwoX8ao+ZmZn079+fli1b5tkeEBAAQFRU1L9tvmVl2YpFNOzu/MxYglzxuf4f+CMSJOzccZCZP8zl088/ZNjsYNqO8cPBXYHcRkLyEx2Vmrtw9UASJ9ZG56ublvg4h8WTbtJmfDmqtnWnXB1HLmx+UuA8cjKNLB9/FW2yidqDgkt1DK0/qs6d3ZFEnop9ti0tKgvXUOd8S6eulV14dCyapr90LrWxBFC+Z2V8upVn9IThmF/iW7yV1wOLxcKYCWPQNGpaJmMJQCyT4dy6PSK5Io+xBGDj7YdYJCb7/MmXMV2yL51hyKCh/zKWQCqVsnPbVro2bcLjRTNJ2LKcxBP78Grdh/Qb50m7fj7ffUCfHM+T7Stwa9gBfXIcgtmMWKbAPqgq3j3Hcej4cby8vDl/5hIVQ6vi23YggV1GovLOfSGRyBU41+vI4j8XlLo2o5XXA2sM03+YqKgojEbjM2PnKf7+/gBERETQuHHjPJ/5+voWuPS2f/9+ZDJZvrGKQiwWIX7JwZsFERF5H7+m+VOQFbYSvALtOHhwP6tWLcczyIaQBs+9Y2ajhVPrYxk+vwatxopZ/vYVjq2OplYnNxS2uTpMN48m02psII0G5QZ7Nxzgy9qPbtBoUADSf0kBpMXpOL8+mgsb42jcoBmPb+zDoDVi0plJDE/HoDUhs5Hg6K/B0bdgGQK1qw2dv63L9g9O0f67hvg39MQl2IHLK+9iNlmQ/EvHSRAEIo49wb9tEBqfsmsQhQytzvGxu1ix4k9GjhxToj4SiTjP///LvE7HCqU73n379hERG4Nrj7KJUj5F6euPYDRiSExA7ur2bLvuwT26durMoUMH0d6/jSqoUhGjFI0u+jHaW9cYt/hPpNLnxyiXy/ll1i9M/2g6H3zwPntSkrAProrMzoGobUtJuXgMu4rVEclkZD9+gDbiHm6NO+BSsym6xBhSrp/Go1HH3PEUNqgq1+W7Gd8iFkNUVCQ+tTrnm4uNmw+pyUmYTIZ/VGPRyv8mVoPpP0xGRgYAanXeh7RKlZten5VVssrqe/fuZevWrQwZMgR7+5I/pJ2cVK8knb1K5TCu37wDPZ9vEwSBrfOe8OhOMqvN88hK11Gzs3OefimxegRBwLdK7jFN3dWY20cTuXM8CbNBj1eoPV2nV0Lt/NwYq1DfiawUA980Poadsy0mg5nsDD29evdi385J1KpVi7oN6rBu9DFSHmfhUiG3FIoxx0RSeDoelR2p0a88FZp55hOzDGzoQVBzb3a/f5qwnhWoPbYi9j4q9r1/lJojwpDIxFxdeYusOC0tFuY1dEuLWComZFQ15s79lffee6dUytN2dq/Pzf51OlYo2fH+sfgPFLXr5QtwLi1ihQKHxk2JXvYHrp17IndxRXvrOrqrF/h24TnuDBzAwOFvIn/zLWR2DqUe35yTTey65Qwb0J8qVfJ7fO3sbLCz88fByQFNUG72qK2HH8EjppPx4AZZkfcQzGZsvcvh3aYvUpvc+6ZdUBhJ5w8DYDGbiDu+g9QbZ0izd2Hq19+Rk53N472rCOwyAqnN83tvdkIULm7ueHrm9xpbsWI1mP7DWCy5sQiF/ThL8pDcs2cPU6ZMoU6dOkyZMqVU+09J0b4SD1P/fkP5o9Xv1OloT1Ct3CWqDT9HcW5PClPX18Q7RM3u3yJIidXn6WfUmZ+pdwOIJSJCW7oR2tKNwhCJRNiqlGz4azsqlQpnZ3vs7JyxtVWRkZFBs1bNeRj9gMq9A6jcrRw2Ds+NLWOOibu7Izm14DanFtym16+N0Lg/f0BZTBZiLqax6I+lrFyzjBWd9hDUzpfs9BwOfHgMQRCQ2coI6huGVPnPf17udXy4YTjHnj0HaNCgUbHtJRIxdnY2ZGTkYDb/b8f1vE7HCiU/XoPBwPEjR/F9/+OXsl+n1h0wPnyA8cAutHo9devW49Mde3Fz88HNzYcRQ4azZOVCXN4Ygcyh5JmdJm0W0SsXIndyZeVf6/Dy9mPS2+8C+Y81JTUd8QvZvyKJBPvgatgHFyzBIZYrsBgNCILAkz2rMWVnEfzGVOT/ErR01mUTd3I7DzbOpULfd5HIFZj1OaSc2cn4UWNJSys6weRl4eiYX3fOyn8vVoPpP4ydXa7x8HdPklarBfJ7nv7OkiVL+OGHH6hbty6//fZbqSUFLBYBi+Xfv17v71+OX2Yt4O3RowmqYY/KEc7uiufzffVw9MwNaq/R3pUf+1+mxwcVUKpyL01bexnaVCNmowVJMUrbSY+zyUjQYzFb0GbqCA6uhIOD/bNA2bS0DLr0aAM+et7Y1BaJLP/bt8xGSpWe5QntXo7T866xethhBi5rgdrNBkEQOPTddSoEBNOuXSfat+/M/fv3WLZ8McfvHkGXEoPZaEasMOLdNOClnDeRWIRLTQ/OnDlLnTolL9lgNltei0BoeL2OFYo/3ps3b6K0t0dSzL2jpIhEIpRh1Wgok7Lojz+fbX86h+nTPkWuUDD3t9nYt+yIXY26iIp40RMEgaxbV0nYuQm7yjVxb9UVY1oKM2f9jKOjM28MGPSsrV5v4NChgyQlxJMVFY/CyR2Vb4UixwcwZqYhtVGRE/8Y7ZMHhAyehkT+/MVIqrTFu2VfHmycw+Ot87F18SL94Q06duzMhAmTXqvryUrJsRpM/2H8/PyQSCRERkbm2f707woVCg7YFASBr7/+mpUrV9KhQwd++OGH/2r9JYAuXbrRrFlzdu7czs6d26nW8sozYwnAo5yK0KZOLJ50g+E/hWJrL8PeTY5roC03DiZQrb1HvjHNJgtXdsVxck0USY+ysfeywZhjRiIV8+57Exg/9m3atm0BwFuTRmNxz6H1F3UQFeNVE4lFNJxYDcEisOmdUwxc2pwjM26Sft3M7u3rnnkEg4KC+fqrGblzMZtJSIinRq1Q7Mq9PA0ldQUHLt+49NLGs/K/zZMnT1C6uL7UMWVOLkTcvFrgZyKRiKlTPqRVi1ZMmDSBmJOHUFarg21gBRQeXv/y9hgxJMSSE/GQ9EtnEcwmvLsMQhWYuwwnd3TBrccwPpo2la5duiOVivnl1x+ZM+83BJkSqYMrSCTEHNyIYDHjVLUhzjWbIJYWrM2WduMsDhVrkXrrAo6V6+Yxll6ct2vNlugu72NC3660aPErISEVX95Js/I/h9Vg+g+jUCioXbs2+/fvZ8SIEc8exHv37sXOzo6qVQsWVvz5559ZuXIlw4YN48MPP/x/s95uZ2fPgAGDePAgnDu6m/k+H/RNCGu/uM+nLU8TVM8BJzc1mXFmjiyOoGo79zzHacg2seyda2QkGag/NIiKbbyQynO9RllJOq5sukfvAV355KNPadG8LYcPH2Do7k7FGksv0nBiNZZ22c6iTvsJLl+RXdvWFyooKflXvIhcKS/Qe1VW5BoFGZnpL208K//bCIIAL/t+IBI9Cx8ojFq16nD6+Fn6D+jN6ZvXyLx2CUNSAojILT3i6IKNpy/uLbqgKlcxn5fIxtMXW29/li5dzF8b/iLJKMKhVT9sPAOe/e4FQUAbFU7imX1kPryFf4+R+YQss2MjyY6JxFZjT3Z8NC7Vmxc6Z4W9C1qTibFj3yrTabHyemE1mP4LGDduHMOHD2fSpEn06tWLy5cvs3jxYqZMmYJSqSQrK4vw8HD8/PxwcnLi9u3bLFy4kCpVqtChQweuXs375lehQoVil/L+0/j4+HJstynfdplCwuBvK1KttTMrpj6k5+R3GN0lmM++/JD9cyJoMzH35mmxCKx47zoihZRhKxs8M5SeonZR0nh0MJXbe/H9qG/YuWsXFTsFIFeVrl6USCyiWr9gck5L2bn1YLGGqVyuwGQw5Svr8E8wG0wo5K9XYLOVsuPs7IIx4+Ua2ObMdNxcC48bfEpGRjqnT5/Ee9hk5A5OCGYTFqMRkVRaqDfoRZShdZjx4wzsQ6rj0a77v2rBPUckEqH2C0LlU44nu1cTtX0Z/r1GPWunS4olfudyPp72CUqlkm3bt/EoObagXQGQkxyDl7dPsfOyYgWsOkz/FTRo0IA5c+bw6NEjJkyYwPbt25k6deozUcqbN2/Sr18/jhw5AuSmDAuCwI0bN+jXr1++fzdv5vfc/LfRo0cv7pxNIua+Nt9ngiBwakMcHTt04a23JtG2bQfWr93B3T05rJ92l4RHWu6dTCYhIpse39fJZyy9iJOfmq4zq3Hi5DEq9w4s01wrdy/HjevXSUxMLLatk5MTNrZKsqIzyrSvgsh6lE7l4NCXNp6V/21CQ6uQFR+HxaAvvnEJMcfGULdmrWLbXbx4AZWbJ/J/BX+LJFIkSpsSGUsAgsWEoLDBtVl+Y+lFRGIJ3u0HYEhLIiviHjkJ0SQc2kTU+t/4dPqnTJz4LqNGjePTTz4n+eZZTNn5BXoFs5m0q0cZOXxEieZmxYrVw/RfQps2bWjTpk2Bn9WrV4+7d+8++3vSpElMmjTpVU3t34LZbEYqlfLrsCsM/CqE0GbOiCUi0uL17JoXwZPbWTzK2sHDhw8oV648Pj6+7N19nB9/+ob5A1YjsYG6Q8sVWOj27zj5qRHMAk7lSi8gCaC0k+PgYUd0dBRubkW/ZYtEIsKqVSP5evw/0mB6kYybKdRoV/zDyooVyE0UqVCxEul3b6MOq/6PxxMsFvT379Lwo0+KbJecnMzVq5dBUXZvaNrl07jWaVVsUDeAWCLFsWoDHm9bgsrWloEDh/Dm73OfKeMLgsCXX3+Jws6Zh5vn492iN7aegYhEInSpCcSe2EZOahIKRf74JitWCsLqYbLyH2HV6uUE1XOi+0chbP7xIdOanuLLjuf4ssM5DAZ4d319anV354+Fc5/1cXZ25rtvf+bcmetkJuZQratfifZl1JmQKCT/aInMIjKzZs0qjh49TFpaapFt+/caSMzOR2Xe14ukP0olPTKF5s1bFt/YipV/MXbEGPQXzr6UsbLv3sbZ3p569ern+0wQBE6dOsHgYYOoVqMSv8yfR052fq9xSTBla8mJjsQ+pHqJ+zhWqYvIYubOrQd89cU3ecoIXbx4nhu3blKu9yScKtfn8d6V3Fn6FXeWf0f4utko7F3wbNqLGTNnWJW9rZQIq4fJyitDEAROnDjG2nXL2btvJ2/MrEhwQ2eqd/Ag4aEWfbYZFz9bbO1z3fcN+nsyp/8avvvmpzx6VEajEYWtAqVdybIClRoZJp0Ji9mCuIyq0NmZOg4/OsTeT3eT9DCBpi1aMObN8TRr1iKfIdatW0+mf/YBiVdjca1WsuK+hRG+4hoD+g/G1tb2H41j5fWiR4/efPvDt2Rdv4o6rGCtooKw6HVkXr5ITsQjLLpsEMAYG02/7j3R6XR51K9v3LjOm6OGkZSWhiqsLgGjp2FISSR6x+oyxfBZdNm5y3eykmf7Sm3UiCUSMjMzcXbOK3q7YtVy7IJrI5HKcK3WFJewRuhS4hEsZhSObujTEkm5eZqMJ0/o3K0jfXr2pnfvfv/18Z9W/nNYPUxWXgkxMdG0atuAce8MRutxBZ1Oj1u5XNE2kUiEe3k1fmH2z4wlANcAW7KzctBq82pUKRQKjHojQgn1o+S2UjTutjw+E1emuac8TMeYY6Le501osaQDXbf1IzUkgzHvvMmAwb2Jj887ro2NDd9++QNXvzuFSVf2yucxJyNJu5zE+++9mkKgVv53sLW1Zf6c30nfuQVjakqx7Q0J8SRu3UjE91+SffMmKu9AHKrUxSGsDk6NW7P7zFkqhwUx7eMPiYh4xIkTx+jctT36CtXwHfEBzvVbIbVVY+PtD4JAdmR4qecskkqxGAyl8vYIFgsmo7HAZbWoJ9HIHJ4voYvEEmxcvFA4uBK5dwWPti9AIrPFu1Ev4uXezJy/iNCwYHbu3F7quVt5PbAaTFb+7aSnp9G9Zzvc6+iZurs2rccEYGsvJSvFUGQ/bZoRkViEUvn8rTYzM4NNmzagVCl5dK74IGzINcgcPFRcW136mzjAtQ0PCOwYhNQm15hT2CupOKAKbVZ3Jc4xgUbN6nDhwrk8fTp27EIFnyDOTj+E2VD64rmpdxO5/M0J5v3yBw4OjmWat5XXm6ZNmzNhzASSly7EmJJcaLvMa1d48vuviMUyAka+i+8bo3Gs3Qi70OrYhdbAsU4TXAeMxm3AWLZevUHTFo0Y8EYfnNv1xbFGwzzxRiKRGMeaDUm9VPqivBKVGhDIiXtc4j5ZkXeRKJQ0btaA33+fh17/PNDdzs4OU07ely3BYubRzsVIpApCB3yCd91OOJavjnPF+vi0GYFPy6GMf2sshw4dKPX8rfzvYzWYrPzbWbp0EfaBZjq+G/isDEtYazcubCs83RfgwpY4WrdtjUwmw2w28/W3nxFWPZhlu+fgVcue86selmj/+iwjifcyiLuWQsqj0mWv5aTpubMzgqCe+YuLSpVSqr9bh7DJtegzoDuXL19k//499OzXheAQfx7EPCQ1PJnDE7bxf+yddXyV9fv/n6drO+vusQ02urtDQjoEQRRUUOzubjEwMFBBVAy6pLsbRsPGujtPn3P//tjH4VxT35/ufv63+37neZxz73Vf7yvKM6tH6dSEIAikbInnwONb+ODtjxkwoOZAABGRhvDM08/x8P2zyf7mM0qOHapmvSk9eZy8tSsJmnI/PoNGoXSvPeGlytsXjyFj8Bo9Fauj9lxPrm26Up4UR1nCpRrv10bx8QPonZ0pO3uowX0KYg/g1eU2VO1vY973Cxk99nZK/pdSYfyYsRgTTlXZc3HiWewmA6H976wxcs/Jrxk+3cby/IvPiX5NItUQBZPITUUQBBYu/pZed/tV8WnoOSWIo6szSD1Xs4DJTzOy64dUmke0ZOfO7Tzw0AxWbfuVab/2ZsyXnRn6WkfSTxdwYUt63fM7BLa9f4F+/Qfw3DMvsvnJQxgKTA1au9VoY90T+wgZHI4+xLXWdiGDwmn9SAdGTxjOQ888SFFbGLR2Bt1/mki/36fh0TGYLXcv5+x3RzHk1uwQKwgCOcfTOfzsdlIWXmTJ4qVMmjSlQesUEakNiUTCk48/zcqlq9HEniD3y08o2r8HS3YWxqQEctetJHDK/WgCQxs8pq5ZcwImzSB9/RJMudVfeuQaHYGjp5G+5ifKG3g0V3TqEOXH97B40S+UJpyjLLX+fiVXzmLISMIjugvOIS0IuH0WqQYHU6ZN5tKl85SWlmIvLyb/9N7KPvlnD+LVqjcSae3Rta5hbcgvLOLw4YYLN5GmgUQQZXSTJje3YZaPa6W4uIjmLUKZe3pANSfQY2szWf3eJQbeH0qXcf7oXJWYym2cWJfJhnlXkCsVhHXwIfFEDnKdlOm/9Uf1t8STaSfzWPHoAfo82IIOE0KrpRgozTGy46NLkKVj3eotaDROvPzqc6zasJTBczvjFVX7UVdJRhkbnjuI2tuZHm8NQCqv+91CEAT2PLsVmasTbZ6pHtFWEp9Hwh8nydxzBedgN9yiPNB4anFYHVjSjORfyEGj1HDfPbO5d+YsdLprK8opl0sra+f91+thNaW9wvXv1+FwsHPnNr7/cSHHjh2mtLQMz/7Dce/S+5rWk7trE9aCfAJHTq3xfmncOdLX/4pr2664deiB0s2zWhtjRgplJ/fjyExmaEtpRAABAABJREFUxdLVtGzZik2bNjD7wfvxGjgR52Ytqz03BMFB8cWTZOxYSejwGTgFXi0f5bDbuPLHJ9hKC/EIi8FqMlCQdgWtdyCB/ScTv/ILmo95HJXe459LqULWvqU8etcE7r131jV8Mg3Hy8v5po4vcmMRBVMT52YLppKSYqKah/Bh7IDK47i/k3SqiJ2LkrmwOw+5UorNLKBQSelwRwgDH4sGAb4cuYOBz7cjvGf1WnLZF4vY+t4pCpJLaT0iCI9QJxw2BxknSonbl8no0WP47tvvsNmk2GwOBEFgwXdf8cHcd3AOVtNuWhRBXXxQ6hRYjTayzuQTuyye9KPZRE6Ioc3sTg2OrDPmG1g3YRn9lkxF7VlzpI211EzRxWyKL+dSciWfnD2JzL5/DuPGTSQmpmVleZVrpSmJiKa0V7ix+01MTKB3vx6EPPJytdIiDcVaWkzC/PeIfPBl5Nqav+/m/Gzyj+2l5PwJNAGhaPyCkCiUOMwmLMmXkZoM3DN9JvffN7tKjrO9e3fx4EOzMSFFF9MVtYcvAmDKSafg9AFwOAgafCc6v+rJaAsvHCX/zEGixj1asYbiPJI2foe1vASHw0GLCc+g0lcXb38na98fPH73HcyYcd81fTYNRRRM/y5EwdTEudmCSRAEOndrybAXvWnes/a3upykcj4Zd4xBgwZT6hPPgMebA5B0NI81r8Uya+1tddaAy7lczLk/k8m9XEzO+TKefuwFJk+eho+PV43/ZM6cOc3QEQPQhzpTGF+Iw+ZAIpOgD3ah2ZjmhA+PQunc+IR2B17fhdLPjagZXRvUPmN7HBk/nOHAnmM3JJy5KYmIprRXuLH7feXVF1l5IhaP28Ze1zjpyxej9gnEq9vAOtvZzSZKLpzEUpiHw2rBlJXKwA7t+OabhTUWDZfLpTg7qxg+fCR7j58EmRyJRIJC74FHTFecgqNqzQTusFm5sPANosY9hsq1wifLmJ9B2sYFNG8RTY7CH69WtVvVHHYb8cveY+WylbRvf3MTxoqC6d+FmIdJ5KYikUi4954H+X3Rl0R2d6/RygRwdGUWw4YPY9++vUz65mrB4bzEMvxbu9dbMNc7ygXvqDbYrQ4+6rSKmTNnVckZ80927dpB2OAIOr3UA0EQcFjsSJXXl9wSIGxYBCe+PNZgweQ3IIKc7Ql8/e2XYvoAkVvG2j/XoRk46rrH0bfpRMG+7fUKJplKjVu77pV/5+7fio+PX41i6S/kcjk2QcCr40DcWnRq8JqkcgUqV08sZYWVgknj4Y/KyY2hg29j/oLv8GjRFam85rkL408QGBh408WSyL8P0elb5KZz110zoMSFVW/FY7NUfTN2OAT2/5bGiVX5vPDs6zgcDmSKq19LwSHUK5b+zl9t66usfvTUYVyiK3yYJBIJMpX8hhTL9Yj2ojSpoMGpBCQSCcFT2rDwx++w2aoXIxYRuRmUFBeicL7+0j0KZz12Y+Mzews2a4P89Or7HdeKRFotyk0ql9OuXQfat2lF+s5fsFuM1boVJ50l99h65r7/0bXNK/KfRrQwidx0nJycWLV8I/fOmso7Aw7RcbQPej8FiceLSDhSglqpY+nv6wgPb0bPnr24sC2BXvdVOHK6Bmg5tiy53szBJZkGcq+UUJhUipPeqU7rEkBc3CXCRrS4ofsEUOpVqFw1GDKKcQ51b1Aft1a+OBQQG3uSjh073/A1iYj8E5vVhkR2Ax7/UhmCveF5xqzFhViK87FmJmOxtMBsNtday81utyNFIO/UbgovHkMilaJy88G9VXfUbrXXdBQcdizF+Si0V2tHmkvyKcvLpEOHjixe9AvT75nKgV/fwi2iAyp3f+xWE6a08ziMJfy8+Fe6dete6/giTRfRwiRyS3B392DV8k2sXLYZW0IQGz5NoCDDRlRfX5x85EycPJI1a1YyafxUDvyQwKXdFeHKzbp7YSyykB5bc7bi5CM5LH/kAD+M38r+BZc4uzEdQeagV//O/PTTolqtNmazGbn65rwvyDRyHOaGW4skEgkuLbyIjT11U9YjIvJPdE7O2E2G6x7HYTYhVdf9ciI47JRePkvy799y5Ye5ZG9bg7m0jF9XLKdl6+a89fbrpKZWTVa5YcN6gkLCOHb6LK4R7fFs1QP35l0Q7Hbil84jYfU3WEprrulYkngOuc4ZtXtFkIjNbCRz9x+MGDGK/Px8RowcyrHjx3ENakF5diIZR9YjzTzHmy88z7kzl+jTp991fy4i/01EC5PILSUu7hKnzx9nxqJu+Ld0rbyedCyfhx++H8EOei8dy544jpO7mvAeXqi1KnbMjWXqj/2qHNcd+ekyhxZdpuO9rej7Zi9UzhU+CQ6bg+R96Xzyw3ts3LqOP9esr7YOpUqFzXRzjsDsRhtSZeOi3eR+WlLTGp7hWETkemjZqjWXE+NQeVWPPG0M5QmXUXv713rfZigjdcUiHCYjHm17ETL8bmTKq1F5xpw0lu4+xHfff8v7737InXfexW+/L+H5F5/Dt+8kvEKiq1iWXSPb4dd9BNnHtnFl2ec0G/8wSperwSSCIJB7fAeYysg6uBa7qZz8+FgUShWbtm5h9ZpVOHmHEjXueaT/s7DZLUbSDyxj+YplTJo0+bo+D5H/NqKFSeSWIQgC7374OiNej6kilgBCO3kw/IWWeDV3Ytb6/jy6fRitRgZxeXsu99/5KEH6SNY/fRxDgZkLm9P49b49HPz+EhG3hRI2ILhSLAFI5VLC+gUx4ru+JJRcZub9MyrvZWdnM/ej98jMzKA4oeY31OvBUmLGVGhE6984/xCJVCJmFha5ZTx4/2yMsYev6zsn2O0UnTiIe/seNd63m4wk//Y1Gnc/Iqc+hUebHlXEEoDGOxDv/hMIHPMAL732Mu+99xbPv/AsQcPvRx8aU+MxvEyhwrfLbWh8Q4hf9jnJm34m5+g2LOUl5B7agJ+Llu++/g6n8kzKs5IIGzidVtPeJGriSzQbOguzoYT0o39eHU+pIbDXFI4cO8qpUyeu+fMQ+e8jCiaRW8b58+coKSsiolfN/gcth/qTc7mE0hwjGhclfR+JofXoQC5fucSy39bhK23G10M3sn/BRUJ6BdDj4TZYS8z8Nm4dRxecrvbwl6vl9H+vK6vXrCY+Po59+/bQo09HVp1eReCgEPLPN6wWXWMouJiHPswdmapxxltbthE/X78bvh4RkZro338Qaqnkmork/kXppTMonF1Q+wXXeD9z83LUHv74DxhfZ2ZtAI13AH6338sX8z9HF9YGjVdArW3LMxO58NNb2MqK8Wk/AL1fM0x5mVxa/DamhFhWLluNSqUit7CYqLFP4RrSEqg4+nbyDSNyxAPkxx3FVJRdOaZUrsAlrB2rV6+8hk9CpKkgHsmJ3DLKy8txclXXmlpAoZKhcpJjNV51Iu18VzgLRq/hsYef4uSp4/R/oRPRo64mq2s1PoLuc8pZNWcXCrWcdtNjqoypclYSNTyMt955je07t9P51Z4E9AqmOLGQLbPW0emp7pVFdW8ECRvj8e4Z2uh+pZfzaDun/Q1bh4hIXchkMubMnsOn33+P5s5gpMrG5RyzGw3kbFuHW9seNVqBrKVFlMWfo/nMlxscfarx8se1VTdsZbXnhjMVZpP45w8E9Z6AW0S7yuueMT0wF+eRsuk7Nm78kz379qGP6IJMUX1fCo0z7hEdyIs7SmDn2yuvS5VaSssbH/En0nQQLUwit4xmzSLISyuhNK/mWm65CaXYTA6cfa46kTr7aJDKJHwx/1PCh/hXEUuVbfx0jJjbkxMLz2I1VvdLChnoz5btm+j0cg8CelW8DbuEueEe5UHipmt/w/47NpONxI1xpGy/gv+g5o3qWxKfh7nAQLt2HW7IWkREGsLsWXPoEhNN3ppfcVgtldcFuw1TVjrlSXEYkq9gzs3G4bBjSEmg5PwpTLlZ5K5cTJvIKIqP7CB3ywpM2VVrOhaeOoQ+og1yTeOSsXq07UVJ4jns5uoh/wA5J3bgEdO9ilj6C5WLJ/79pvDeB++SmpaKyqX2SDq1qw9WQ9U6ltb8ZFq3bNWo9Yo0LUQLk8gtw8PDg9uGDmP3/NOMeLWqf4LDIbD9i0u0Hh2MQn3VfF+SZcBhd7B+/VrG/9Sv9rEjXPGMciVxVypRw6qKKpWzEmQSAvuEVLneamZ79r28g6C+oajd6470qYusI+nse3UnSjctTmEe7J+9jNZP9ydgYGSD+qcsPcPUO+9Grb62EhUiIteCTCbj+wWLuHvmNE798T3OPQZhSL5C0clDSGRy5FonBMGBtbgQBAdSpRqluyfGtCTCwsJZu/pPMjMzWPTjD/z8yw8o3DyReQeAUk1R7GGChjS+eLTSxQONdyClqZdxjWhb5Z7DZqE4Ppboyc/V2l/nE4pMq0elkFNQlI3L/47j/omxMAuFzrXy79KMeMpykpkwYVKj1yzSdBAFk8gtIzU1hZDAMHb/upPfso/T/Z5QPEJ05MSXsvf7eCwmB8PfrJpd9+hPCQwbfjtrVq3CNaTuMgLuYS6U51QPlTbkmVC5VhcjPh39CR4QxqF39tDnw8ENrhn3dyxlFva+tJ22Lw3Bu3uFUCs8l8XRZ9bg1tIHra++zv65R1IoPJrBY58+2ei5RUSuF41Gwy+Lf2PUmBGc/P17nJu3IXjcvWj+5peU9Nt8NH7BePcbgUQixVZeStayb1m7dhUTJtzB66+9xfPPvcTGjetJSLhCUXExP508gNzp2hJjyp1csJmqH43ZTQaQSlE61V40G0Dl6k27tu24tHIlnjE9qx3LWQ0lFMQfp9mgGRgLMsg6tZWStIsMGjSYU6dO0rNn7xuSxFbkv4d4JCdy0xEEgfc/fIuefTqyL2Utrcf7Upxt5NdHjvLlyD3sfD+VjLOltBgUUPmgKi8ws/2Ts5xdl87UydORSqUYC811zlOWa6wSLfcX51fFEzKkWY192j/cBUuJmUNv78FxDfW50nYnoY/wqhRLAG4tffHpHU7Gtrhq7QVBoDy9mNxjqaSsO8fpt7Yz971P8fCou3q6iMjNwOFwMOfhB7iSlU3ErJcIvH1aFbFkLSnElJ2GV6/bKmu3yXXOOHXsy+Jffqpsp1arGTt2Ak899RxvvfkuOicdXGOWbsFuQyKt/q9JqlQj2Ky1Htf9hc1QSsuWLQkJDODKhm8w5KZWjCsIlGbEk7jxG3x9fEnd9ROX1n2BuSgH75j+nE4zcc99Mxl82wDy8/Ovae0i/21EC5PITefXX3/ml2Xfc/+qvrj4agHo+1A0ufEl/Hb/ET7+YD4uLi688MpTzPtqAypnOeYyKx4RLoT08uXumVPw8vPi3KoEOt8bU+Mc5XlGUo9k0+elqjXcSjPLSd6bxqgnetXYT65R0O/Toex5ZgvbHlxPt5f7oA9xbdC+bCYbyRuvINNUF2kKZxU2oxWoeFAXxGaQtPosuUdSQCJB5euCYHMg1ah4cM59fPzFXGZOu5eJE+/AyUksyClya3jrnTfYffQovhNmI1NVt8I6rBYkCiUSedXACJlGS+bFzFrH9fULoKQgG7Vn4yI/BUHAlJ+JR4vqtRhlSjUqd1/yLx/Fu3WfGvubSwooTIvnhRefw9knFKlSQ9yGb5BIpQgOOzqtlheeeZ6pU6fTuWt7NMFd8G5x1aIktB1K+rFV3D1jGuvXbmzU2kX++4iCSeSmIggCn82fy4Bnm1eKpb/witDTc04zPps/l2++XERaaiodprcgYlAAzj5aNK4VpvSSzHJ+mbiZ/B/zCOnui3dM1ZIjNrOdbW8cIWpYKFqPq75IhjwjGx/Zg2uQGxrPqnP/HaWTkgFfDOfCktNsvnctoUMjiBwXjWt4zaZ/S6mZxA3xJCy9RGRwFLGxsRhzytB4Vzi4WkvNZO6Mp+MbQzFklHDqgx2UpxfjPaI9raYPQOXrUsXkbys3UxKbzCcrvuHt999k7nsfM3bsBPFYQOSmkp2dxXfffU3IjGdrFEsASjcvpHIFpXFn0Ue1BkAQHBScPIA0Pw+Hw4G0BmvQPdOm8/7X3+IS1a7ymuBwUJ4Wj6WkAMFuR6ZSowtohsLZtbKNMSsZW2kxjhoy9BdeOo6lpICsY1twDohE415VjNmtZpJ3/ordIeDX9ja8Yypekhx2G+aSPIxF2WQdXYOrqxtr164CpTM+0VWFl0Qqxb/jaM6ueZfY2JO0bStGropcRSKI2fKaNLm5tYfw3ggyMzPo2qMtT+0fWmMRXWOxhU/7bmTmffdzJHcnA16tHim284MTlBdZCerhx/4Pj9F8WAjNh4ag0MrJOJnLyV8u4eSrY8SXA5CrZBjyjVxck8DFpQn06NKLc1nn6TV/UIPWW5pWQtyK8yT8GYfSWYlblAdOAXqkMgn2Ehsll4rJS8ihZ58+zJ45h/79B/LB3Hf47sdv8R3eHIlCSsrqM9iNVvQB7hSm5uM3piMB03ohVdSf/bs4NoX0eVvp160vX33+bZ3V3GtCLpfi5qajsLAc2zUcMf6baEp7hRu/37lz3+fHzdvwGlp3duuyxIukrf0Zl+j2KN29KLl8GsFqQWGz8sPXC+jXb0D1PmVltGwdRdD4h5FptBSePUz+mYNIpXLUnv5IZXJsxjLKMxNxCo7Co21PdEGR5OxYSr+YZqz/cx2ubfrh3rI7MqUau8XM+cVvEDlsNoaCTDIOr8M9qhOuEe2QypWUZVwh9+xetB6BuIa1JePIelpNeKHa0V5pZjy5R5bTs0cvTmcJ+ET3rnHPaUdWcN/EoTzyyOPX/Pk2BC8v0Zr8b0IUTE2cmy2YsrIy6dytNU/tH4ZUVl0wGQrNzBuwGY1Ow7iFvfFoVtVR1GKw8v1t6xj741BcQ10oTi3l/IrLpO5Px25x4OyvQ+msJOPY1SR0NqOdYcNHMOveObRo0Zw27WMY9sfYGq1MdqsdU54Bq8GKXKNA46lFppRht9gpulLAmW9O4FbuwoD+g3F1daNVq9a0bdsOd/eqPkeHDh1g2co/sNlsjBw+mrS0VF5+40UiXh+Dvk3Nif1qw24wk/TmOtr7NWfxD0uQyRpeZqUpiYimtFe4sfu12Wy0atsC/ZA70AZUT9XxTyyFeRSeOYytrARtQBguMR0oOnWQaLmZP5YsrbHPex+8w3c//YSpvAydXxierXuh829W1bpqKqfgwlHyzuxF6eqFtDSXA3uPUFiYx2tvvMqBA/txbdYWY3kJDpOJqNsfAsBUlE3u+QOUpF9CsNvRuPvhFd0D58AoQMKF5R8S2Pl2XIKqHuELgkDSxi9oFhJItsOrDsG0nPsmDhMFk0gVRMHUxLnZgkkQBLr1akuXR32J7Fu9btWuL86TsLGMvPxcusyOocWwEJy8rx6rXdqcwqmlVxi1YEid89itdgx5RnIvFHDyk/OcP50AVPyTeeDhmVxySqDlzHaV7csySolbeYEr6y6BAHKdEpvBiuAQCL89kqhx0Wi9dawfvYx1K7fQqlXrBu85LS2V3v26EfzSCFzahdTfoab9mCxceXYZD0+ezcMPPdbgfk1JRDSlvcKN26/JZGLLlo089NjDhM95/ZqPfi3FBaT/Mo/kxIwa7589e5ohQwfi13sc7i061zmWzVROwtpv6RTTnOVLV6JQyHBz03Hy5FlWrFjOgu+/w6nlINyatWvQ2rJP78KQm0p4v2nV7qUeXImTOYtCg4OIIQ9Xu++w27iw5l3WrfmT1q3bNGi+a0UUTP8uxCg5kZuKRCLhiUeeY/sHFylKvxoqbCg08+Pdezn8SwJe3XV0nNGc3EuFLB6zgR3vHsNurfiHUJ5nxCWo/oeKTCHD2c+JgE4+FOUXVbn3+MOPk7gqDnOxCYfNwbGPD7Bh2koMpTa6zxvD0D/vY9DS6Qxdfy8954/FbIaN96xhx6MbadYsqlFiCeDRpx7CfVjraxZLADK1ksCnbmPuJ+9z5Ur1aDsRkcZy/vw5HnnsISKjQnj06SdwyBXX5Scn1+gwlpdht9ur3bNarUyZegd+PUfXK5YA5GodzUY/yOmLl/jpp4WV10NDw3jssadQKBWo9A2PJFW5eGI11vwyaLdayC2HkvwMMs9sr1JSSXDYST+2irZt2t50sSTy70N0+ha56UyePJX0jFQ+G/8xLQYEoPOTc2pFCiE9fRnzVT/k6qtfQ0OBiT+fOcDWN44w9O1uyBQVx2MNxWaxo1BW/Vp369aNkcNGsePZnUhdZBgLzAz8/S5UbtWTVerDPGjzRF9a3NuVQ8+sR6lRYrPZkMsb9lOJjT3JidgTtFp8f4PXXBvaEE88hrbm868+47OPv7zu8USaJiaTifc+eIdFPy7EpU1Xgqc/hd1YTtr6X65rXMFhRyqVVaT8MBpZu3YV58+fo7C4iNycHAx2CT7R1aPdakOm0uDeaSifffkFM2feV+WeQqHE4ajuCF7r2uw2pNLqv1mH3UZx2gWaD7gPqVzFxW3fkBt3GPew9uCwUZZ+lsiICH5c9FMNo4o0dUQLk8gt4aknn+fwwVhGtr8HyUUf3IJdGPx6lypiCUDrrmbUZ71JOZRN9rkCfGLcSD+ajb2OIwiH3UHy3jT+fHQHv49di8loJqJ5EHMevZ+TJ08gkUj49KMv0Jo0lKaX0e2TUTWKpb+j1Kvp+fkY0kyZvPRq7ZmF/8l3ixbgcVsrpMob8y7ieXtbVq1cTmlpSf2NRUT+QXFxEbePHsYfm7YQNO1xPHsNR+nijlzrhK28pMZotIZiLS7EycWFl155gZhWkbzx8TxWHLvE7uRi9h47gUvLmuvM1YVzcAuKy8rYt28PFy5c4KmnnyQ8IoiUpERKUi82eJyStEtoPKoX8M09vx+Vkzs6jyA0Lt60G/sSLn7NsWWfZfyA9vz6869s/HMzbm7uNYwq0tQRBZPILcPPz59HHnmcnIJs2k+PrDFqDkDlpKDV2HDOrLyCVwtXlDo5SbtSa2xbklbKsikbOPj5KXy6hzLs14mM2TCNXl8N4aImnjGTbmfYyGFkZWWRnppGl/eGN7jYrkwlp81rA/h1yc/k5OQ0qM/O3dtx7RXVoLYNQe3rinOQF8eOHb1hY4o0DaxWKxPuGE+mXY7vmHtR6q+myVDo3VB5+FJ6+fQ1j1969ghGg4F1R84QMPIB/EfOwrfbUNyiO2EtLcQtsvG1ESVSKbpmHXj62afp2Lkrm4/HETR4NhHDZpN/6TCCo35rs81spCD+BO5h7f52zUDGic1kndlBePc7/jafjODOoygrN3DHpCl07dpNTOchUiuiYBK55STFJ+HXtm5/BL82HiTvzeKXUdtQmjUc/vgkZVlVyyWUZpWz5v4tBA+JYOiSCUROaInO1wmVixp9qCutZnVg6IrxXDYlMHzkYLw7BaH1q7tUyT9Re+rw6xXGL0t+rLdtQUE+hbn5aEI8GzVHfSgjPDl9+tQNHVPkv88nn35ESkExXoMn1Jg5271dDwpO7r+msR0WM3mxh/DuMRKf3mNRe1wN6LAZy5BrnJEqGpcS4y8Uzm6kpGcSOfYZfDuPROPmi5NvOCq9J+mH11FXnJLgcJB5cAWeXt5c2fwVCZu+4uK6zznzx9sY89KJvu1hNK5Vg0+kMgUuXkHEx4u+giJ1IwomkVuOQqnAaqz7KMBqtOHvE8Rvi1ZyJjaO2fc8xJ/37SBpdyoOe8Xx3O63DxE6PIqYu9vX+lYoU8np9Fpvcoty8R/V/JrWGzCqBYt+/qHedunpaTh5uzUo31JjkPk4k5SWfEPHFPlvk5ycxPyvPsdz0AQk0pq/j/oW7bAU5FCWdKnR4+cf3YXKzQePVt2r37wBcdcqd3/kaqfKvyUSCWED7qY49QIpe5ZiNVQ/ojaX5JO262e8VHYOHzjK4YPHGT98MEqZlNajniGq/0w0eq8a57PbzKhU1ybwRJoOotO3yC2n34ABxG1KodO9LWptk7AliykTZtKhQycAnn3mJSKaRfHhp+9y5KNYPFu5kX06j+7v3lbvfBKZBEu5BdcW3te0XpcWXmSnZdbr/C0IAtwMc75UguMa63KJNE1+WPQ9+hbtUbrVbu2UyhUEDJtC+tqfCZ70ABrfwAaNXXzuOPlHdhE5ueaC0XKNDpupDIfNglTeeBFiKS1Coa1uCVZonWk+8hHSDq3l3B/vog9sgcbDHxCwF2VQknGFiRMn8+Yb76DT6XBycuLhhx/jp58XY7OYyL28kYLUM9itJlQ6N7wiuuIR1h6LoYTS/Ay6dOnW6LWKNC1EC5PILWf2vQ9z+rcrlGRWr0gOkHYsh6SDmUyeXDWHyrhxEzm45wSLv/0dj3I/wodFNcgfSbALCDYHMvW1vR/IVBX9TKa6i366u3tgLChBcNzY1Gb2QgNe7jW/GYuI/BNBEPj9919xatWl3rbOzWLwGTCG5KVfU3TuGEINKQL+wm42kX9gC5lbluLbcyQq15q/k3KtM1rvIIriY69h7Q4KLx3FLbRtzWOrnQjtdyct73gZJ98wynNTMSQc4+nZMzl75hIffzQPnU5X2d7fP4DWbdpyYdPnWAxFhHUeT/SA2fhG9SI37hDnN31J5qn1jB9/B3q9S41zioj8hWhhErnldOvWHX+/YH6/axu9n2hL5KAg5CoZphIL51YncHjBOWQSBUqlqlpfiURCt249UGiUeLT1adB8UrkUmUaOtdRcKX4ag63cgkQqRavV1dkuICAQhVyBObMIdUDNdeiuBVtCAW2Htbth44n8t0lPT8NgKMff279B7d1adkLh5EL2rrXk7FqPa9tu6Fu0Q67RIQgC1pJCik4fouxSLM2bR2PQe9R8FPc3PFr3JO/U7gblYPo7ZWlxSJDgHBBZZzuFxgnvVn1xC+/AxeXvcs8999bYLjs7m4sXzhHRcypuga0qr2tcfHAPaUvCoT8w5sbz1ptioV2R+hEFk8gtJycnh8SEK3R/uj2nlsaz493jqPVKjEVmgrr5cfv8gZz65iIrVizl7rtn1jiGzWZDKqsuqGrDI8ab7IPJhIyMqbWNzWQlY3s8SevOU55ahM1gQaZWoNCr8PX3paSkGFfX6kIoJyeHgwf3cfLUCdTOWoqOJeAb0LHBa6sLW5mJwoupdO5cv7VARATg4sXz6P2CkEgafoDgFBKJbvqTGDNTKDi1n5Sl32A3GZFIpcg0Tij0rgy7bTg9e/Rk3i9L640k0zdrTea+tRRcOoZ7804NWoPdaiZj3xq8Yno1eO0SqRS7vXZ/yJ9+WoTer0UVsVTZVyIltPN4zq57h7S0NFq0iG7QnCJNF1EwidxyTpw4hl+0D9GjmxE9uhllOQYsZVa07mrUrhUiKKCvF3sP7qommBwOB3v27CIpKRHP5OqlVmojcnwMsd8cI/j26GoPe7vFzqUfjpC87hy6Zl74j+uIPtoPmUaB3WSjPDGPnHVnad2uBaPHjOPt19/F1dWNEyeOMW/+p+zYthW3mGBkzTyRdggga81xfEZ1uCHhyXlbz9K9Ry98ff3qbywiAhgMBqQ1WGfrQyKRoPUPQetfPUN9wcn9IIXy8nIEWf3H4FKZnJARM0lc8w1SuQLXZjUfsf2F3WIifcti7IZSPKPrtl79HXNJHlKZgh9+WMCkSZNxdq7q+7Rq9Sr0QTXXiwOQyZW4BbVhw4Z1omASqRdRMIncUpKSEjlzJhZTaUWZEqlcipO3Fv7hjy0IFXlkzGYzKlXFwz85OYkp0ydQUFaAW0dvEtZdqoiQqyWf099xa+6BMbuMvONpeHUKqrxuLTNz+IUNCDI57eZNRhdaNd2BQg9qb2c8uoZhyi5h/4+HGTSsHz269mTNn6vxHNeJmIWzUbhWFPYV7A7OPvAduVvP4j2kcSVV/omtxEjusmN88t2S6xpHpGmhVqtxWC03dEyH1YJW44qzszMSu7VBfbQ+QYTefh9Jfy6kJOk8nq16ovWpWojabjFRePk4pecP0Kd7N44dM1CWmYA+oGG5zPIuHsTZrznzFvzIm2+9xscffcaECZMq75cbyvFQ1X2ULpFriI09xblzZ2nZsrolSkTkL0Snb5FbQnx8HKMnDKPvwG78sfVnSovK+HnEas4uu1xjXpW4jUls2rCBkFAfpt49kXXr1jD09gFo+7gx8LdxdHimF1KFjNQdCQ2a/8qyi3Tu1IXTb+6kNLEAqLAsHX5xIwoPPa3fHVtNLP0TtY+eiGcHQRcvlq9bQfgHk/Gd1L1SLAFIZFJCHx9B8oIdmHOuPTu3IAikfb2TYYOG0atXn2seR6TpERXVgrLs9DrzFTUWoSiH1i1b0rx5C8ozExGEhkVt6vzDiJryNApnVxI3/MDlpZ+QvOVnMnYvI2v7EuJ+eZsgWx5ffPQJP3z3Iw/MeoCiC3saNL6lvIjChFiCOo4kuPcMQvveyzPPPc2SJT+Tn5/PL78sRqlUUl6QVuc4pbmJ7D98nBG3D6Nv/14cPHhtualE/vtIhBv5qxL515GbW3OByhtJYmICtw3vR9SkUFpNaY5Cq0AQBLJjc9n5+gGaj2xGp/uuvtkl7Ulj+2sHGb/2DuwWO/Fr4zizMJbmU9oQc+9V36Dso2kcfHkbvecOwatt7cdz8SsvkPDjebZu2sPW7Zt5673XiX6qJ8VxeeSezqbN++OQyhueO0kQBC59tAWrSSD8udE1tklfspeC3eeJ+WAySo/GVSQXBIH0hXuRn8xh64aduLi4Nrjvjapo/2+gKe0VGr5fQRBoFhmMz/jZqD0bfmxd13hpP37Irz/+QufOXejYpT3yNgPRhzbuCMtht1F44RjZ+1bx1JPP4u3tQ8+evQgPj6hsU1ZWxm3DBlGm8sa38+21+jJZDaXEb/wGl8AYgtoPr7xuKEjn8pavQBDwCGyOxWzGUJpP69ufRVpDPipDURbnt3xBhxEvI5XJyUs+Qcb5Dfy0eAl9+/Zv1P6uBS+vxj0bRP5vEQVTE+dWCKb7H7ibFOc4ujzSrtq9kvQylt2xjvG/DEMCnF8Zz8X1CfR7fyC+HSv8dnJis9n94k5GrJyKVF71AZq2O5Gj7+4idFgUkeOi0Ye4AhUP+dxTWSStvEzZ+WJWLl1LVFTFA37Llo28+NpzpKel0fbTSeibN/6fiqWgnEN3LaTNDw+gcHeqdl8QBNIW7aJg1znCnxiGa8ewBo1rLTKQPn8H6kwTa1dsaLTvUlMSEU1pr9C4/T77/NNsOHMZr36jrnvesuQ4TPvWEnviHFKplAULvuazxUvwG3pPje0FQcCYnYKlpACH3YpMqUHnH4Zc40TOwT/pG+nPF5/Nr3W+7Oxsxk8cTaFJQN+8J/qAFpWZym1mIwVxR8k+swu34DYEdxpVzVcw5ehq7EYDzXpMQXDYubBjAXKVlvBudyBXXq0haSjM4PLuhfhG9MY/6qoVNz/9DEVXthJ76hwy2Y1NQvtPRMH070IUTE2cmy2YyspKiW4ZzsRVI9B5amtss/mp3STvTUOmkBJ+eyQxk1uiD76aE2XPK7twCnEnZkbNkWelqcXErzhL0sbLqN00yLUKjHkGBJODpx9/lscfewSZTFPln8yqVct54eOXafP15Gve27m3/0QZ5IP/lJ61tinYe5HkrzajbxuM3+iOOMUE1OgMbiksJ2/TGfLXnmT07WN5+/V3cXJq/MO0KYmIprRXaNx+4+IuM3BIP4LvehKFs+s1zykIDrJWfscj0+/ioTmPAlBSUkyXbh3RtRuIW/TVtAF2i5miS8fJP7Mfu8mIxsMfiVyBzViGMTcVrX8YlpwUtm/dTfPmtSetBTCbjaxc+TtvvPUOJWXlqPReCA4HpuJsnH2a4dO8Jy4BNY9hKsnj/J+f0n7My8gUauxWM4lHllGYfh5X/xYotS6U5adhLMoisOUQ/CJ6VflNCoLApV3zmP/5PAYNqj8x7vUgCqZ/F6LTt8hNJTc3F6VWWatYAvCKcUeRrcF5oJ5W09tUu58Tm03UXbUX8nQOcqH94z1pPbsLJYmF2Ew2pHIpOx5Yw2OPPomnpwuFhVWTZC785Qe8Rl2fg2fAqLZceH9znYLJvXcLnNsEk7vhBJffXYsE0EX6ovZ3BZkUSsxYE/IpSclh8NBhPPTLSjp1ElMIiFwfkZFRTJ92Dyt2rMRn1Ixrjtgsij2Ei1TgvntnV17T611Y9sdKRo0ZDgi4RXfBXJxH4trvUOpc8es4DJfg6ColWayGEvLOH6AoP5NflvzMG6+/hbSG+nZ/odPpePTRR9m0eQenUstw8g5DKpWh0nuh0tWd40yt90Spc6O8MAO9dzgyhYqIntMwleZzacd8yrIt+EYOwLfXfcjkNed603qEc/bsmZsumET+XYiCSeSm4ubmhqnMhLnEjEpf/eFktznIOpGLpciOLd6GscCIxl1TpY3VYEXpVH+YtFyjwD2mItxOEAQkEglffjmPlIxk8gsK0Tu50KFtR8aOnUBSUiKB0wZc196cIr0xZxcj2B1IZLU//BUuWvyn9MJvUg+MKXmUx2VhyS6iNDaFULkHr707n7Zt2zXKV0lEpD5eevEVduzaTt7udXj2Hdlo0VSacIHs3evQaXVERoWg0mgIC2vGrHvvZ+TIMaxd/ScTJo3DkHCa4swUvFr3waftwBrnUWj1+HUaimdMD/5YvRCzxcyH739UeV8QBA4c2Mf6P9eRm5uHTC4jolkI2TlZaFwjcQ1onL+UTKnGYTVXuaZ29sDNO5TywjRcfZvXKJYqcdiQycR/jyJVEaPkRG4qrq5u9O7bl4urr1S7d2l9AkuGr6Q4sxyn9i6YCs2sGreMg+/tx26+moxOoVVgKTNX618XNoMVQRD4YedvHFDGEx9awhHtFT7+/TNatY2kqKAQufb6im3K1BX5aBymhoVZS2RStGHeeA1pQ8BdfQieM5iMnEz69OkniiWRG45Go2H1inXoCjPI2fgrNmPNpYj+ieBwkHdkB6lrfsQ1qhN+w+4n/I5n8Bs2i3y3CF55/wNiWkWxe89uDu4/gspajkdUF3zbDapXlCm0egIH38uK1atZt24NdrudhQsX0LlLe+6eOYONR+KJzRI4nmphyYbDnDlzBrul7pJENWG3mJAp1JV/W42lpJ3eQm56HCaTicuHfiY3+QQOR/VSMA67jcKM8/Tt26/R84r8txEltMhN58VnX2X0uGFovTVEDAlFIpVwYXU8R7+Opfe7A/Fud9Xp2phv4OA7e9n53A4GfDwIqUyKT3tf0ncl4tqs7rD/v5O+JwmXFt60fGto1RuToTylkCOPLMNmuL5cNfb/CSWpuv5EfjWhDvakuKCQ3NxcvLzEWnEiNx5vb2+2btrOiy+/wPqfPkbfoQ8urToj11TPTSTY7ZTGnyXnwGawO4gc/xgaz6rlVVSuXrg374QhN415X3/FocMHKCoqInLI0Grj1YZC44xbm4F89sU8lvz6CyfPXcIzZhBR/s0rnbv/Qq5xoyD5NN7NezR4fFNJLpbyQrRuFWs3FGZwced36D3Dad5tOgq1nrLCNDIu7SI36SjNe81E9rdknJmXdxIRGUmbNu0aPKdI00AUTP+fsGfPHubNm8eVK1dwd3dn8uTJzJo1q843tjVr1rBgwQJSU1Px8/PjvvvuY+LEibdw1Q2jTZt2/PbLCh567H5OL7iIZ7Q7cbsSGPLNCDyiqwoFjYeWvu8NZMPda0jfn0ZQn2BCB4Zy4J39RN/dAalciiGnjOyj6TisdvQhrni286v2OcWvPE/wxJr9nnTBbjhHeFIWn4NzhHeNbRpCWXwuSm99ncdxdSGVy9D7e5KSkiQKJpGbhl7vwpeff8XUKVP5/MvP2fPdO+h9A5F5+OJQqJA4bFCcT3FqAnaHA692/fHuMKCKD9I/0XoFEjRyDrt//xDXyM5IG3l85RbelnO/rMLZM4jwAQ8gldf80uEZ0Zn0U5swleSh1ntWuWcuK6AkKx7BYUfj6ouTVygSiYTsi/twC2yFTKHC4bBzafcigqIH49vsqujS6n3wDGrLxf2LSDq5hvCO4zEUZ5CbsB9baSorN2xp1H5EmgaiYPr/gBMnTjBnzhyGDRvG448/zvHjx/n0009xOBw8+OCDNfbZuHEjzz33HNOnT6d3795s27aNl19+GZVKxahR1x9KfKPp1q0HRw+e4cCBffz22y8URxuqiaW/kKnkNJ8Yw7HPjpC0JpGME2k46Z05u+AYZRnFZB5MwatDAHKtkgs/n0KmlNH+8R74dq3I4J24/hKGnHJ8ejerdT0Bw1uStOwUfkOv3fE7fW0sXkPrLvlQHxKZFKu19lpYIiI3iu7de9K9e0/y8/OJjT3B2bNnKC0tRaFQEBoazvMvPI33wLtwDqj9d/N35GotNqsV96jGFdgFkMqVuIS3Q6lwqlUsAcgUajwjupByZBWRA2YikcqwGktJOrScksw4XHwjkcoUZJ7ehkypwbtFLwoTjgECyQdMWCwWZDIFPuHVy61IpXLC24/j5JYPyU06jJOzC3dNu5s5c37F2/vaX6RE/rs0ecH0wgsv0KlTJ8aPH19rmy+//JKvvvqK8+fP35Q1zJ8/nxYtWjB37lwA+vTpg81mY8GCBcyYMQO1Wl2tz7x587jtttt48cUXAejduzfFxcV88cUX/18KJgCpVEqvXn3YtWsH7hrPOtt6tvJCZpHx+MSnGPLdMPLychkwtDe+vUO5bfl0lC4Vn4lgd5CxO4GDr26n2+sDMOYaiP3qEB0/HodUWfvX26dPBBe/3EPJpaxry8NUaCD/wBXa/DAYgNIzKeTvPo9gF3DrHolL52YNcrK1lplwdhZDi0VuHR4eHgwYMJgBAwZXXlu+/A9Ubt61iiVzUS4F5w9jNZSi8wvFLaojEpkcu8WI0sn1mtahdHbHXlp/NvzADsO5vG0B8bt/IrjLWC5v/Ra9TwQdRr9cmVdJcNjJSz5F4tHlPDTnYR5++DE2bdrA4p9+JM89otbfotrJAw/vYOa+9xbDht1eZ+SeiEiT/3asWrWKl19+mbfffhuHo+7suTcDi8XC4cOHGTJkSJXrt912GwaDgWPHjlXrk5aWRlJSUo19UlJSSExMvClrvVFotVrsZXVbVSxlFtzdPZgyZRoeHh5s3Lge7zYBdHhpQKVYggoLTcCACNq/0J+Dr2zj7I8n6PjxePSRdb8hShUygka2IuH7vThs1R0/60IQBBJ+2Idrt0gU7k6k/byHK++vQeaiQ+njQvLXW0n6bGO93xlbqRFDfjEREZGNml9E5Ebz1bdfo4uqOZ1FSfIF4pbPw241o/UMoPDSceJXfoHdagIk1/5sFBxQSybvvyOVKYgceD8SqYwzq99Ho/cmrOPYKkkoJVIZXmEdCes8gfV/rsfV1Y0pU6YRGVnVL8psKKQ49wplhWmV5VdkMjkajUYUSyL1In5DAJVKxZIlS7j//vspLb35ma//TmpqKlarldDQ0CrXQ0IqKoYnJSVV63PlSkXEWWP6/P/E4MFDSd2ZXCUS7p+kbEpi5NCKsiOCIPDD4gWETW1T65uiX+8wlK4aQu/oiNJF3SARFD6tMxK7g0tzN+OwNyzxoSAIJC0+SNGZDELmDMGUUUj26mM0n3cP/tP64HtHT1p8PpPiYwmUXUivc6yyC+mEN4+sLC4sIvJ/gd1u59zpkzgFt8BmMiD8LXJMcDhI37OC4AFTCOozHq+2fYgYMweFkyv5p/cj1zpjLs69pnnNxXkoNQ2zrjqsZvzbDEYqUxDYsvZoPM+Q9uQVFHLkyGEAunfrhrEgnrLCNM7vXcCpLR+TdGotFw/8yImN75N2cTsFuSm0bt3umvYg0rRo8kdyADNmzCA/P5+lS5cyadIkvvnmm0rxcbMpKakwSTs5VS2vodNVRLGUlZVV6/OXqGtMn9qQSiVIpdeW1O5aad++HdEtYjjxxVE6PdWt2sMv63gGCVvimLxrCnK5lJKSEnIysunWpvYyIRKJBI92/sQvPEj8woMVlqfhLQka2RqNn77GPlKlnHZvj+T4s6uIfXo5UY8PRBdSeySeKbuExB8PUHwhi6i3JyN31lCw+zwuncJRel6dQ+6kxq13C4qPXME5JrDW8Uq3nGfOHdOQy2/ce4vsfw7osmt0RP830ZT2Cjdnv3Fxl/ly/hcglXF+4asVFh/BgcLZDY/obuj8w3FYrehDW1b2kUikeMR0I/vEdtwiO5B/8TDaXrV/z2vCZjZSlHiGwFG1J4a02ywUJJ0i5+J+jMVZyJUaHDYLOvfa55JIpei9wrl06Rw9e/ZgwoSJvPDic+Tv/pqg6CE073IXcoUaQRAozrvClRPLCQgIwtfX+5qTe4o0HUTBBMhkMt58801CQ0P56KOPmDRpEvPmzaN79+qOgjeav44Ba/ux1mQmrq3PX6bxxpiW3d11/ycPinEjx/D6+29QklpMizta4hbpjrnIxJX1cVzZEIdbqAf79++iW7eOqNVSBEHAYbUjU9X+lRXsDsKmdyNofAdK43NIXxPLgXuX4NktlJZPD6wx75LCWUWrZwdz4pGVXHhiJc4R3riNiEbfwheZTondaMWQlE/W6tPknUjEvV9Loj+ejty54jhAqlZiK62eJ8ZWZkLpVj10+y+MafkUnUrgobWzcauj3bWi12vqb/QfoSntFW7Mfk+dOsVDjzzGiRPHcYvqRNT4x1G5eiORyhBsVgx5aeSdO0D28W0gAcFuRSK/+vuxmcqRKlR4tOrO5WWf4t9lBDJldV/L2ii4fARn32aonNxrvJ9zaT9pJzeidfUnoEV/3AJbYbeaOLHmLQSHvc4IPsFhxdXVGTc3HS4uGnQ6HUEtB+EV1K6yjUQiwdUrgjb9HubC3i84e/YEffr0qXVMEREQBVMVZs6cSUhICE8//TT3338/L774InfeeSdy+c37mPT6CsvEP61C5eUVSeb+aUWqq4/BYKi1T20UFJTfcgsTwI+//kTHp3tiLjRwYv5RyjPLUGgVBPYPZfD3oynPLOOL+fOZOfMBANp17kD6zisED21e43g2k5XsA8m0n9QVAOcIb1o8NZhms3tz6dPtHH1sOR0/GovSpfo/G2NOKYHBQezaspcVK5bx7aJvOPPZboxl5ai1Gnz8/bhvwp18k/A1rt0iK8USgGv3SFK+3Ubx4Thculb4IpVdSKPowGUCv7q3xrUKdgeZ87bw5BPPIJGoqpVtuR5kMil6vYaSEiP2Bh4z/ltpSnuFG7ff7du3cfeMu3Br05/IO19Gpqh6JCxRKHHyC8fJLxyroZS4VZ+TeXgj/j1GIpFIsRpKyDmxA5/Og1G5euHk34yU3b8TOujuBr18mYqyyTq+mYh+M2u8n3ZiA/mJJ4jpN7uKNUmi1KLRe1OYfh73oNY19rVZjOSnX6Jjx24UFpazdesW7A4ZnoE1R7MqVE54BHfjww8/oXXrmmtV3kxuxsuSyM1DFEz/YODAgSxZsoQHHniAt956i4SEBAICAm7afMHBwchkMpKTk6tc/+vviIiIan3CwsIq28TExDSoT204HAIOx62vv5yWnErzNu3R+TgRNan6w0+lV3MgJb2yyOic+x/hubefxbd7SBWn77+49ONxnCK8cAqrGn2ncFLT8qXhXPp0G6deWkfHj8dVs1Ll/nmJ++64C6VSzZQpdzFlyl01rrlN67bMnDMDTbAn6oCKN2O5Tk3ES2O58t5qlN4uSBQyjMl5hD46DJWPS43jpC3eTXlqHvdMv/emFY212x1NoiAtNK29wvXt98iRw0y/Zxp+/aeiD6r55ePvKLTORIyeQ9yqLym8fAK1uy+GnBQ8WnbHNbIiz5nON5SSc/vI2r8M3x7j67T+GPLTSdu6EAQHWtfq0alZ53dTkHSKVoMeQampepQukUjwjexJ6pnN6H0iqjh9Q4WFPev8Vrr36EVAQDA2m4Njx46iqyNKDsDVuzlHjy1tUt8hkWujaRz+N5KYmBiWLVtGdHQ0S5Ys4fvvv79pc6lUKjp16sTWrVurRJts3rwZvV5PmzbVi9GGhIQQFBTE5s2bq1zfvHkzoaGhN1XgXS/p6WmsWrUcuUJB/tnsWtsZcsuRyCSMmjCMzz77mB49enP7gNvZde9y0rfH47BWOKaWJORz/O3tpG6LJ/q5mrMNS6QSoh4fiCCRkrbubJV7ppxSco8lM2XytHrXPmDAYJ557FkSX1yKIemqo6u+XShtf36YgLt64zepO+1+fgiPvtVrXwl2B6k/7iZ/z0U0McHMmHV3nZGZIiI3kvLycqbedQc+Pcc3SCz9hdLJjZhpL+MU3AJLWRHNpzyLf89RSCQVEXKGhJN8Pu8LgvVyrqycS07sDqzGq9ZvQRAoy0okc89vJP35FW+9/ib9+g0kP6FqBLDFUEL6qU206HNvNbH0F17hndG5BXJ+21cUpJ6pdFAvL0zn8r7F2IoT+PLzrzh9+hSPP/EoS35dgt1ed0SuIDjECDmRBiFamGrBx8eHJUuW8NRTT7Fjx46b6ufz4IMPMmPGDB577DHGjx/PyZMn+eGHH3j66adRq9WUlZURHx9PcHAw7u4Vlo05c+bwwgsv4OrqyoABA9ixYwcbN27k008/vWnrvB6ys7N58rlH2LNrF37tAnGKcOHIO3u4svoiHZ/piT7YtUr7+FUXcGvvh3WgjiV7l/Lp5x/x4nOvYCu1cPGXkxx/ZztShQyJTIrf0JZ0+nIySvfazdtSmZSQKZ258u0egse3RSKR4LA5iPtkDxMn3YGbW82+FP/koQcfRaPR8vozr+B9R1e8x3ZGIpMiVcpx7VK7Zc+UXkDCJ39iN9sIfWcGMhctpx//jj17dtGv3/UVARYRaQgrVy5D4eqLa7PGJ1uVSCQE953I+V/ewmYoRensBkDesS14ubowYsQobr99NAcP7uebBd+wY+m7aJxdkcoVWAxlaNQq7pt5P9Om/Ya3tzcREVFMvnMi+oAWaFx8KsaKO4RbQCs0+tpTgkgkUpp1nURuwlHSzm4h7uASpFI5EqkMtZM7I4YN5pVXXmTzls14BnVCro8mK/EgYW1HI6klhUFBxhnsdhszZkxn8uQpDBo0BJmsdiuZSNNFItysBEP/Eo4cOUJAQECtVhlBEFiwYAFJSUm89957N20dW7du5fPPPycxMREfHx+mTp3KzJkVZ/yHDx9m+vTpvPfee4wbN66yz++//87ChQvJzMwkKCiIWbNmMWbMmEbNm5t789Mo5OfnM3h4X3Sd3GhxbztU+oojNZvRyuXfTxO3/ByDvh2Jc1DFEVbS5nhOfHqQ3gsmovOveNPMPZbKsZc2Ezi2HWH39sBSbESw2FG4apAqGvZwE+wODt61iFbPDcYlxpdL723H2+DM6uV/1pgctC4uXbrI/XNmEp+SgM+YTrj1aoHa3x3J3/zB7OVmyi6mk7PxFCXHE/AY1xPPcb2QyCvWW7DmINEZEv74eVmj5q4LuVyKm5uOwsLy//wRQ1PaK1zffgVBoEfvbtjDuuIaXt1q3VAyj2zEUl5E0IDJ5J3YjvnKMbZu3klgYFCVdgUF+aSnp2MyGXF1dSMsLLyaL+i3337FBx/NJaTPDDQu3pxe+Q6R3afh7BXW4D3ZzOUIDjtytROmkhwu7JiP3j2AiE73VEbDndrxCb5h3fBr1rPaGKbyAk7t+JSgZv2QyuQUZp0k0N+b5ctXNfgl6nrw8hKT1v6baPKCqalzKwTTy68+z7bEHXR8tU+NlrrTXx8m82AKwQPDSdmegLnITOe3h+LWsqqPw/qB39Llh7vQBrhe81oSFh+k6EQKFFpoH92OhQt+rkzH0Fjmf/U585YvBDctZacTECw2VH5uSOQy7KVGLLnFqIK80PduheugDsj12ir97aVGEmd/weH9xwkIaFxYdm00JRHRlPYK17ffY8eOMOnOO2h2x/N1+hjVh6WsiAu/vYerdyB6lZQVy1YTHHztKVh+/PEHXn3tZXTe4ZTlZ9JuxHPXZc2P3TCXwIh+eId0qrxWXpLFub3f4BXcCf+Inqi0bjjsVvLST5N8diN+oT0IjuwPVBzPJZ5bRViAlpUr11zzOhqKKJj+XYhHciI3FbPZzK+//0zPL4bW+iBsPqUN8UvPceHHU7R4oDuho1tWsxrZzTYcFhtq35p9GxqKxldPeaGD+Z98T58+/a7Ld2HX/t3oBrbBtX/birfdvBIsOUVgdyDVqlAFeSFV1VEny1mDS0wYR44cYuzYCde8DhGR+jh9OhangIjrEksASidXVDoXZk6ZxOOPP33dSVfvuede+vUbwEsvP8/BEyXX7fqgdvaszOD9Fzq9L637Pkza5R2c2DoXiVSGw25F6+RNs1aj8fS7Wk9SIpESEj2K47ve58KF80RHx/xzCpEmjCiYRG4q2dlZOAQHLs1qN2+rXDV4hfuQfSmDwCFRNR6xOax2JFJJlSOvujDnlpG1/QKmnDIEuwOFsxqvns2QKuQ0j2pxQ/yGCosKkTlXFBCWSCQovFxQeNUcGVcbEmc1RUVF170WEZG6KCkpBkXjjp3/icNmxWGz4OTqTocOHW9YhvrQ0DDGjR3P2bh0LKZS8pNOYC4vxOGwIVdqcfWPxtkztEFiSiqT43BUd/LWOHkS2WESwdFDOLbpHXROrrTv83iNY8pkCjx8W7Jt2xZRMIlUQRRMIjcVpVKJzWLDYXMgrSGjdVlaMfGrzlOQmY9Sr+Hku9tpOacnTv9wApdrlQgC2A0W5LraH9Qll7JI/vUo+UeTce8RgTbEC4lMgiW/jNhX1iJTyWnhH4EgCNf9NqtQKMDeuDp01bDZsdlsZGdn4+Li0mhfKhGRhiCXK6CREZmCIFCemUDBxSOUZydjLs5FIpEiOOw8MGc2HTp0Ysodk7n99tEoldWTwjaG4uIiCnNSyF7/Hq6+0ehc/ZFKZVhMpcQfWIJcqcE3qhde4Z1rdd4GsJrLkStqT+xZXpSBSqVFLlfV+fuXSBRYrZbr2pPIfw9RMIncVHx8fAkKCSLzQAoBfUKr3ItbfpYz3x7Ff2AkbV8aBBLI2pPAnlnLiLqnMxGT21W2tZttKJ3V5B9OwmdAzSHR2TsvcenT7fjf0ZWOjw5F4VLVZyjk/n4UHIgjbuE+Hn/qYT6Z+/k1RcMIgkBZWSmebh6kZhVyLV4I5vQ8CjYeo+jQOV7e/zyvv/0qVqOJmHbtmHPfg4waNVYUTyI3DHd3dwRTw/0VDblppO5ait1YjmdUV7x7dEXj7o9MoUJw2DEV55CUk8RLb73Lcy88ywfvfcjYsROu6SVky5aNvPHGa3iG9cCnWXeU6qrH7iGth1OYeYHUc5spzo6nWbfJSGs4WrRbTZTmJRHaonp6kfLiDBJPr6O0MAVnvRelxdkYy/PR6KqXQhIEgdLCK7Rr93ij9yLy30Z0+m7i3Aqn7yVLfuKdL9+i1/xhKPUV1qGMfUkcfX8v3T8bi1OIW5X25WlFHHhkJa0e641/v2YUnM4k/puj+Mg9yRaKafnpmGpz5B9O5Ny7m4h+ewLO0f51rsdaYuTKy6sZ3WsYH7z7UYP24HA42LVrB98u/IbdO7YjOISKvFkScO4WjfuwzmhbhdT7D8NuNJPx+RrKYxNx6tMWl8FdUAR4VaQ5sFgpP3Ie6/aT2DLz+ezjL7n99lENWt9fNCVH6Ka0V7i+/WZlZdKpc1uipryIXFN3JYCckzvIPrGdgI7D8YrqhqQeP7+SzHiyjqykR7euLPjm+0YJ/UOHDnDH5AmEdZ6Gi3fdCXdtVhMX9y9ErXMnvOsd1X5r2fEHKE87DDI94R2mIftfKZeyonTO7VtAUER//EO6I5MriTuzCqulnBYd76xmscpOPUpZ7mFOHD990/MziU7f/y5EwdTEuRWCSRAEHnvyIbbu20z4tJYE9A1lzxMbCB7ThsDbWtTYJ2NnPGc+3IlCocBJq2P2fXOYOWMWbdo3J3ruKJyaeVW2ddjsHJjyA82eGIpbl2YNWpOlsJwLD/7C8iUr6dixc51td+/eyaNPP0K53Yx2SDuce7dG9r+IN1tRGcW7YinafByJUo7/QyPRRgfXOI7dYCb5lcXIfTzxmj0aqbr2o0Xj2QQKP1/BO6+/y7Sp0xu0J2haIqIp7RWuf7/Tpt/J2WLwble7/17WsS0UXDxK1JBZqPWetbb7J3armbT9vxEZ4M7S31fUeETncFRNEOlwOOjQsQ26wN54Brdv0Dw2i5HYrZ8Q3mUirr5RldcFQSBu5+d8+O47LFu+lAMHDuIe2BmdayBJZ9fjG9iJwPCrteJsViOnD32HXKEhKLI/Ti4BmE0l5KYdoSjnDCtXrKFt24at6XoQBdO/C1EwNXFuhWCCigfaunWrmb/gc04eOY5UIeO2DffXWkzXYbOzc8xifvrhV3r16lt5dPbJZ3NZ8Mf3tPp0bKUvU86uyyT+dow2X05v1JFA2s8H6GD047GHnuDkyeOUlpai1Wpp1iyCHj16IZVKWbFiGU889xgeDwzDuWt0rU7ngt1Byd4zZH2/iYDHxuDcpeqxoSAIpLyxBImzE95zxtX71g5gTs4i7+2f+GXhEvr06degPTUlEdGU9grXv999+/Zw930zCZ/wDJIajqJLUi6SsuM3om9/tNaiuHXhsNtI2bmQiSOH8sbrb2EymVizZiXfLviWuLhLmE0GFAolPr4B3D39bkJDw3jm+edp0f+JOv2S/knG5d2U5CXSvPc9V6+d24zKnMae3QeQSqUcOXKYHxZ+x5mzZ0hKTKTb4FeRyapGrNptFtKTDpCesBub1YCTk55x4yby0EOPEBrasFxQ14somP5diD5MIrcEiUTCqFFjGTVqLGfPnmbctNG1iiUAqVyG1t0Zvd6lip/RE48+zcVLF9j/wnqavzUcpYuGtDWx+I5s3yix5LDakTqrWLd8LZu2bsKlbRgSrRLMNgxxGTjJ1QzuO4g/Vv6B7ytT0ETWXW5GIpPi0q8tck8X0t7/g+BX7kTb4moyP8O5ZMzp+QTPm9YgsQSgCvHF+c5BvPn+m2xroGASEamNnj170yIykpT9K/DtPbHK78VuNZO6aykh3cdfk1iCigg1v24T+fHHeRgM5axYsQyN3geX4M60HDoSmUKNw27FUJjBwt/Wkp18Gp1rIA67FZm84RF3XqGdST23BXN5EUqtC1kXtmHMPsO6rbsqnxVdu3aja9dubNmykaefe62aWAKQyZUER/RDqXIiyKuE335dek37Fmk6iIJJ5Jbj6+uPobAMS6kJpXPN/g42g4WynGJ8ff2qXJdIJHz9xXc8+8KTrHlgKd5jW1FyIZOIF0c3eH5riZGLr63CZrHjP2coLj2jkSqu/hQEh0DpyQR++fg3fGePqFcs/R1dq1B87hlM1ncbCf94VuX1wk3H0A/qhETeuJ+cU8/WXP5tG+fOnaVly1b1dxARqQWJRMKvv/zG4KEDyT6wCp/uoyvzMhVeOobaxRu3kOqFsBuDyskN9xZ9+O2PP2je9350blX9CWVyJS6+kbj4RuLXegRJx1dzbudXRPeZhULVsASyCqUWJ/cgsuMPYC3LRKewsXnTdvz8qvsu6nROWMwVVnRBECjOT6CsOA0kEvRuITi7BmOzlqN3vr78biJNA7HioMgtx9PTk+49e5K67lytbVI3XqBTly41PgRlMhkffTCPH75cRFCCCofFXmeqgb9jN5g599xSFIGeRMydgVu/1lXEElQU65XIJMicNDh3b3weFpd+bbHmFlO09yyWrELKTidQeuQSzv07NnosqVKBrm97Fi6+eQWgRZoOLi6ubPpzC95SI6l/fkPRlVgEu528cwfwie51Q+bwbN4Vm9WMQl23c7lS60Jkr7vQeQRxcf9C7HZrg+eQSmRY8s7x9MP3s2Pb7mqlWf6ic+euOGwmMpMPcXz3x1yKXYqhNBdDSTbnj/3Myb2fk5dxlPHjxzdqjyJNE9HCJHLLsVqt5OXmcnnfBXTB7vj2quovkHM4mcsLjrBmxZ+1jiGRSOjbtz99+vTDP8Adu8mKVFn/1/nKl9tQ+nsQMGdEnUkw8/88juttHRucKLPK2uQy3IZ0JP+7zZTK5SiVKpRuLshd6v4HUhuKqADO7j9/TX1FRP6Ju7sH69duZPnyP5j/zVfEHVyDubwUfUDN6Toai0LthM4zmNLcRDyC6y70K5FICes0lgs7vyMrfh8Bzfs3aA6lQsq7r3/IqFFj626nVDJmzFh++mkxUa3G4+3XttJfyuGwk5l6hMTLf+Lv33ArskjTRbQwidxyVq5cRo65gPZvj+D0RzvZN3sZcT8dI/6XY+x7cDkn396KRAJ6ffWs2UlJibz2xksMvn0AfYb0ZOLUcfgEBlB8KqXeeS35ZRTsu4z/rNvqFEKCIFB6LB5972s/ntD3bYNSLufKxRS+/fI7dK7XbvKXqFQYDIZr7i8i8k/UajXTpt3Ngb2HePG5F9C5+SCV3bj3Z61nIGUF6Q1qK5HKCGg5kOwrB6uVNakJu81McV4yK1auoP+AvvTr35t77rmLXbt24PhHck5BENi//wCRMaPx8W9fxblcKpURENKdkIhBvPzyS43boEiTRBRMIrecbxd9g9/EVnh2DqHf0hkET2iHMb8cQ045wWPa0H/5TIJub8UPixZU9jEYDMycfTe9+3djXcoBzCOCkU6JIb2VnBJzGRnLj9Q7b/bG0+i7NUfuWrevhMNkRbDZkbtcW1FeALmbE+XFJQiCgLOzM3aD6ZrHchhNODuL0TQiNx6JRIKbmxvO7t43dFylzhVbIxJl6n0q6twVZV2qt21e6insDoHzVwyg64DUuTMXk2zcP/sBOndpz5kzpyvbnjx5nMysLLz9O9Q6nl9Qd46fOEpiYkKD1yvSNBGP5ERuOZcvXKDnKxXVxKUKGf6DmuM/qOpxgEt7f9Z+uQa93oXxYyfy5HOPkSYrpu0vs6r6K7UPwXNADMcmz6fsciZOUVWdxP9O7s7z+D84vN71XW/JFAAEAUGAidMmVGQGz87DJacQhbdb/X3/ge1MIl3bdb/+NYmI/A1BENi7dzdbtmzCbDbf6MGhEb8jiUSCV1gn8tPP4OYXXWs7h91GxqVdNGs1Fu+AdpXX3byi8A/vTXbKUUaPHs7vvy/n4sUL/Pbbr2idAmrMDP4XcrkKD89QLlw4T1hYeIPXLNL0EAWTyC1HJpXhsNVdg81hs2NS2FkZv535Qz5DF+lL9AeTkMqrP/hkagWhDwzgwqsraf3pVNR+rjWOaS0oR+lXf8i0RCVHopRjKyhtdDHdyrnyS5FolFyIcgGHA3mSD8WbD+F517BGjWMvN1K6/zQz3hOdvkVuDCUlxfz22xK+WfANpQYjcmdvyotyb+gc5tJ8lNrG/XaUWlfK8mo/WhccduIO/4pa7YaXX/XjcolEim9IV0Bg9Jjb8fQKxy4ocdirF+P9Jw6HDXkNzxYRkb8jHsmJ3HK6dO9Gzp66zd/Ze67g2TeK0Dl9kWgUBM/qV6NY+gufoW3wH9eJ0w//RN6eSzUKMsHmQCKr/ysvkUjQd2tO8a7Y+jdTC8W7YtF1b41z73Y49+2A532jKd19Cnu5sVHjlG47TtfuPQgODrnmtYiI/EVc3GV69u7GFwt/QRs9mMiRTxPSazKWskLs1htnZSrPS8PJvebItdqQSKQIQs0vUuVFGZzb/S1WQzHRHadVpkOoCZ/gLiiUzngH9CQs8jaKCxOw2Wrfm9lUQmF+Ch061J3xX0REtDCJ3BLMZjPLl//B4t8WkZaaSsmRUqRqGYHDYqqJmJL4XHL2JdD5x34UHE1E6eGMc/Paj9r+ImBSVxxmG0mfbSHj2924D4lBHeKBRC7Dkl+GRCbFVliGwq3+aDXP4R1J/mg1HuN6NUhk/R2H2UrR9pP4vXxv5TVVqB+6ji3I+vg3/J6/C6myeiK9f2I4FYdx/QHeWL2pUfOLiNREQsIVho8Ygkvz3njHXC0TIlOo0XmFUJh8Bs+ITtc9j7m0AGNRJs5ejcuWbTWXUV6QTNrZjaj1vkhkcqymUsqyz1KSn4pS7U6bHg/V65wukUjxC+1GVtpRYtpNRe8aQmriLsIib6vWVhAEkq9sRS5XMXz4EIYPH8F9982qNU2BSNNGtDCJ3HQMBgNjJozgvR8+wDHUm4g3BhL5QE8Slhzn6FOrK61BDqudjG2XOPrUaprN6Y/KwwlTdgm6Zg13SPUd3QG7ycrSxcvpKY3A61ApHnvziU7X0a1TV0r3XGjQONqYIOROaop3nmr0fgs3H0MZ4I0qxLfKdc/7RiPVqMh4cxHWrPxa+ws2OyXbjlI0fxU/fv8zrVpdXzJBERGr1cqESWNxiepVRSz9hVeL7uSc39ugKLX6yLmwD4/gdsiVmkb1M2Sf48nHn6Rvp2B8VJl4kEhzHyuvPv8kQ4fejldgpwZH8un0/piMhQBExYwlK+0Y8RfWYTaVVLYxGQu5eGYpednnCW82Ble3/qxff5g+fXtw4sSxRq1dpGkgWphEbjofzH2HTFkhbeaNQSqv0Oj6KG98B0Rx+ME/2DNmITIPDZZCI2o/F5o/fRse3SqK6EokEgRHwx/igt2BTCajU6cudOrUpUr9rdjY0wwfcxued/auN2eTRCIh8JERJLz6GwovV3RtG+YMWnr4InnL9uL/6r3V7knkMnyevJPCP7aR+vzXqCODcBnSGWWQLxKlHHupAeORCxh3niTA158ly9fRrl3t0T0iIg1l48b1GKwQVoNYAnALbUvWmZ3kXjiAd8y1J7A05KeTd/kwrW97vFH9ygvTMZbk8tBDj6FWq6vVzduzdw8IjYg0FYTK4A211p323R4i8fImjuydi1rjhlwmpbQkBw+P5nTp8hhKZYXV2c0tHF1WMNOnT+XUqXPIG5mZX+S/jWhhErmpmM1mfl6ymJD7ulSKpb+QqRVEzu6J3sUVc0YpbT6aRIcvp1aKJQBtsDul5zMQHFdrRAuCgCmzCENKPnajpcqYpecz8PT1wWKpeh0qqqNrtVry1hxu0Nq1UQEEPz2GtA+XUrDhKA5r7c6jDrOV/DUHyfhyLT5P3oky2LfGdhKpFPcpQwj56ll0naLJW7SBrBe/Ifvp+Rg/WU4vPFi5ZAX7dhwQxZLIDeOrb75GH96l1ghQqVRGWK/JpJ/cRFlu/TnNasJmKufKjh8JaDUYtbNno/pmnN+ByWTi1VdfoqCgqvVVEARc9M6UFSX947oDY3k+htJs7Laqv/eSgiQ0uquWabXGlei2k+na9zl0OnfCQv3w929F6zZ3VYqlv/DxaYfdLmfbti2N2oPIfx9RPovcVHJysrE77DiH1/wAdWsbyMm0tQSGh2DJLYWwqu1c2wWDIFB8KhmXdiFkrT9F5urjWIsMyNQKbAYznv2iCbqzOypvPZkrj2IzltOybRT3TJ/Bs08/j0xmZ+yk8Rw5dhhtl0hyVx5E7uGM+4A29a5frteikMhQ7rhIyrJ9OA9qh65XS+T/84Oy5ZdQtO0ERdtjkcikSJRyyg+dQRnojUxfex4nqUaFfkhX1NGhFL69mMvnE1Eo6vdrEhFpLFeuxHH+/Fmix9ddb1HrEUBw93HEb/2O8H7T0ftHAhWCJe/SIXIu7sdqLMXJKwT/DkPRul8tW2QuKyB1z0+46bWYi9MRHI4GF5nOvLiHsrwUWnS/jy27j7B1Wz82/LkRN7doVq5czgcffkhGegZGYxmhpmKUKmcyEvaRkXQAm9WEVCbHbjPjHdCB4KhByJVaslIO07L99GpzyeVqDOWZODm1w2SqOcWHRCLBySmYixfPM3Ro/WlIRJoOomASuak4OTlhNVmwGSzItcpq9y355ai1GmbPeJDPfv0K13ZBVY7LJFIJgeM6kPj1drRh3hhT8gmePQh9h3AkUgnmrCKyVh7m9GO/EHBHVwypBcR8/xDmtDx++WUd23dtRxAc5LhJCVvwMFKVAtchHUh++zeMV7LwGt0FpbdrtXXZyowUbYulYOlBPp37ORMmTOL06VMsWPgtW95ZRllRMQICDpkUmbMWTctQ3Mb3RyKXUfTnATLe+oHAd+cgUdT9E1MG+WC1WsnPz6tWaFhE5EYQHx+Pi3cQMnn1398/8QjvgFSmJGHXz7iHt8ev3WByLxygIPEUwR1GotZ7UZAcy6WNX9FixCOonD3IjztCduxmHnxgDg8/9Cijx44k6fASgjpOqNOPyeGwk352GzlXDtOq12y0zt7o3UNIv7SVUaNHMn7cGL77YTGBEcNo3/cu4s+sIv70GiQSCRZjEZEtx+Pq0QyJRIKxPI/UxN2c2vcl7t4tUGvccHap7ridmXqQ0JBQgoODycjMqHVtdns5zmJBXpF/IBEEQai/mch/ldzchmfjvVbGTBxBQWspwRPaVbsX9/U+usqj+fjDzxg3cSTn0+PQdwhEH+2HR88IpHIZ+YcTufjun8jddLT8YiayGgrtpv+6j6wVh2n2xhScYgKBCn+mSw99j9LXjcAX76hSDsWSXUTu8r0U7z2HrnUI+o4RSLUqHGYLtrhsivadp3uPXjz7xHN06tSlxn2tWrWcZz95i/KCQoLnPY7kf2kPBEEg/eUFuAzrjlPPumtpAWQ//Alb1mwhMjKqIR9nnfzT9+O/TFPaK1z7flesWMqbH39JQO+7GtzHaigh9eg6CpPPANBqxFNo9F6V91NOrKck6zJYymjWLIKP535ceYRsMBh4+JEH2bp1M56h7fEI64bW9erLgMVQTM6VQ2RfOYxK7ULzLneh1l619giCQNzRxZTkJ9Gu5+OoNBX5nOw2C8d2f4xMpqR9j4eRyaoLwISLG8hMOYR/UBeCmg1ALtdQUpRMYX4cpUUpmIyZbNq4jfz8PO655x7atnsEmayqZddsLubY0XkcP34GHx+fBn9m14KXl5jB/9+EaGESuem8+sIbjJs0ErmzCt+BzZHKpdjNNtLXniFn4yUm/fgG87/6nFOnTuIU7YfNIpCy7DiXPtmKSq3C08MTXz9/VJPa1SiWAPwmdCN79TGkqqtfaYfJgjmvmKBXJlerHaf0cSXgoZH43j2Yop2xlF1Iw15qxHQxjWmTpvHInsUEBQXXuS+tVoettBx1TFilWIIKk76mdTjm5KwGCSabyYxOd+1lWERE6kKnc8JRRx6imlBo9YT3nUpxxmWS9vxWRSwBuPhFYcu7yB/L/qR166pH21qtloU/LCYxMYFFi37gh4XzcQggV2px2CzYbWY8/FsT3WU6Tm7B1fyqJBIJvuF9KcpLRqm66l8klSmQyhSENR9Wo1gCCI4YSE76EXy97Rzb+z5IFAgOAQ/PFigVOozlAi+88ByfffY5oaHBnDv7IxGR49BqPQAoK8vkSvxK7r131k0XSyL/PkTBJHLT6dChE7//soInn3uMQ98dRuujpyAhG6QSnDxdmXTnOGROKmK+nIom8Gom7pIzqcS/vob335zL1KkT6dhjUq1zSJVyXLtGUHYmBW2zCofr/B1n0cYEo/SpvRyJzEmNx8iuePzv79zvtyBTyOsVSwDBwSFYi0sRrqQj/C0qB8Acn46ue/3pAKw5BeBw4OHROCdZEZGG0qxZBCW5aThsVqTyxvnJ6TwCsVtNWAzFVTJ3GwpS6da1WzWx9HfCwsJ54omn+GHhAlr2mI1UJkMqU6JUOyOT1/zi8xfOHqEoVE4U5l7G3aeiVIrVUo7ZUIC7V/Na+8nlKrz9ohk/bjxpqSmoNJGEhA6sLI1isZRz+uQPdOnSATc3X4zGco4e+QytVo9KpcFsKeXhhx7l8cefaszHJNJEEAWTyC2hW7ce7N91hKVLf+Pp5x7Hf2IngiZ3AamEI3cuIOrlUVXEEoC+dRD+M3vx0edzkUgkVaw4NSFRyBDsV48qjAnZOLVtXPI8VesQTuw42aC2eXm5yJRKrBYreT+sx21CfyQKGUXr9mPJyMOnR/2CybDtOOPGTUSlqvsfiIjItRIZGUXzqBYUJMXWm5hSEByUZsaTc2E/5Xmp2C1GQMLlXQsJ7zEFtd6LwuRY8i7v5dEP1tU7d1paGjpnN5wbnfVbgpNrEMbyv0XMCQJIpEDdNeokEinHjh3BIWgJDRtc+SLjcNg5d+ZXVEoXWsVMRaNxRxAESkrTiL+ymh49OvPll9+g0TQuf5RI00EUTCK3DIlEwneLFxA0qzd+t1ccVRWfSUOmVeIU7V9jH68BMRyd/wXegf6UxCbh0r5mASQ4BEpPJRHUK+bqNasNSQMyaldZo1LeoEKk3yz4ivfmvou0dTjSzDzsZQaS58wFh4C2XST+r8xEqq5bBDksVsp3n+D+Ve82ao0iIo3lwQce5MU336lTMOXHHyMzdhuCw4FPRHdCWg1DptTgsFlIPbOZ8xvn4bBbcdK7MfeDj2pNe1FaWkJc3GWKi4tJTk7iWr1kpTI5DsfVVB4KlQ65XE1pUQp6t5pLBTkcdgrzrnA5zoGbe5sqVt+83PPYLEbadZxRaXGSSCS46INoFXMPW7bMIycnm5CQ0GtbsMh/HlEwidwyEhKuEHf5Eh3evL/ymsNsQ+6srj0/jFqBQqVk6qRp/LR8Bfo2ITWWKinYcwGkUpzahlZek+u1WPOKG7Q2W6mRwu2nKNoRi6zUQu/BvYhqFsl9d99Ht249qqxv4aLv+OCzubi/PBO5pytpT3yE64ieeD80ERCQNDDZXenK3US3iBEzeYvcdEaMGMXrb7xG7oW9eEX3rnJPEATSj2+g4MoJwjqPx9WvORJJ1d9YZI+pCIIDi6GY3CsHeeXVl4mOblnlSO7MmdN8//0CVq1ajtbJDYVSi81mprS4gNhdn+MX3gPPgLZIZQ17ibGYSnB2vvoiJZFI8QvuQkrCTlp2mF5tjQDZ6cfx8/dDKpGjUFS1FGVlHCcgoFulWPo7KpUzPt5tWLr0N5555oUGrU+k6SEmrhS5ZeTm5qLzdq2SNkAb6okhMQ9rSc1FacsuZqLV6pjz4CN427Ukvb8WS+7V8gYOq53czbEkfbGJoIeHVRE2rj1bULzrTJVjun/iMFtJ//pPLt/3GWVn03Ab1x+3R8dTOrI9B9WlTJ11F116dWTnzu0AxMae5I13Xsf16ako/b2QKhV4Pz6VvO/XYDwd3yCxJAgCJev3w6EL/Lhgcb3tRUSuF6VSyfJlqyg4v4u8ywer3MuM3UZR8llaDX4EN//oGoUIVAgWlc6NwDbDcY/sz7gJo0lKSqSsrJQ7Jk9g5KjhHDiZTqvejxHT63Eiu8wiuscjdBvxBgHN+pCddISjm96hKOdyveu1msspyonD3atFlesBzfpgNhVz6cyyKmVOHHYrGckHSbuymc8/+4KOHdtTWpJYpa/FUoZW40FtKBSuZGZm1bs2kaaLaGESuWUEBARQmlWA3WhBpqmIclF5OuHWOYzUxXsJe3hwFcHjsNrJWnyQmXffR0ZGOtnZWRiyrZy5fwHaKD9kGiXllzOQqpRIZFIKdp7DqWVwpQVKFxOIRCmn5NBFXHrGVFuP3WAm6bVfkOqdCfrkURSeLlXua9tEIIzqSfnh89x9/3Q+eu9jtu7cimZQF5SBVyNo1JHBeD92Jzlf/IbzoC643NYNuVvN4cKW9BzK1u5HnZDNqlUb8POr+ShSRORGExkZxfp1mxg/cQzG7Cu4RnZHIlOQc34vrYY8VsWpuz68wrtgNZUy8757sFoslJrUtB3wfLUQfQCpVI5XYDu8AttRkHWBS0d+oVn7CXgG1O4wnp18BI3OvTKlwF/I5WradJvFlXNrObpnLs4ugSBAeVkWcrkKh8PGqVMnuffeWSz5tQ/ePp3QOVX8VlVqF8rKs3Bzq7nMkcWSR0hItwZ/BiJNDzEPUxPnVuRh+jsjxw8np4WUwDuu5jayFJZz+qk/UHrp8R/fGZWvnpwtZ8nfeg45MlpHt+bs2dO4Tu6Bx+2dsJUYKDuTjGC1owryRNvMF1upkcTXf0cT7kPww8MAMFzJIunF30AiIeidu1CHXC2VIAgCSW/+ikSjxeeRCfVmJTYlZJD7zk/YzRb8Pn4CuXv1fy6WjFyKVu/EcOwC2nZR6Lq3QuasRXA4sBeUULrnFOa4VNq2bsuvPy/F0/PGR8Y1pdxETWmvcOP2W1CQz88/L2bB9wsoKS3FM6wrQW2GNnoch93KidVv4O4VQWSnu2q1TP2Tkvwkzh1aSEz3meg9QqvdN5TmcPHAN8hlEnxDB+IX0r3mcQpTOHf0R1zdwgkJG4CTsy/lZdmcP72I9u3bERcXR35+PsGhffD0jKGgIJ60lH107fx4tbQEBmM+J07O59ix2FuaQFbMw/TvQhRMTZxbLZguXDjPiNG34TG6FX6j2qFw0WDJLyP9tyPkb7uEh7cnuTk5CCo5PuO7ognzJv2n3aib+RH4QN0PdVuJgYsPfoP/jAFYz6RTeOgSH73/MQqlhCeefQbXKb1x7dsamVZF+dkkUuetJWTeY/Vm4/6Lkh3HKVy6k8Avnq2znb2knNJdRzGeS8BhMCGRSJA669B1jkHu5Yb5+3VcPBNfq9/W9dCURERT2ivc+P3m5ubSrl0MrYc/2yjr0t9JPrEWh8lEZPuJjeqXmXiA3LRYWvd5sMr18uIM4o8t5oXnnmPMmNsZMGAwglSHu29n3LyikMrkGMvzyEo+THb6CYJC+xES2q/Kb6mkOIXY49/TMuYOysqyyMo+jsVSjrNej06rw2SUEBJ8G3p9EILgIL/gEknJm3jssUd49NEnrulzuFZEwfTvQjySE7ll5OTk8OeGdeicdaT9foTU348gk8vAZue24bfz+q7FHD58kJfmvkboh5ORO6mxlRgwJuUS/Nz4eseX67W4D2xD7sJdPDTrYe7+9HcCAwNwc9Ph5xvEex+9z8mfv8ClcxTFV9LRD+rUYLEE4NSrDXk/bcSSklVrcV0AmV6H66h+uI7qV+2e4HCQlZtHeXkZTk7iw1Lk/45161bjEdjimsUSgE9UT05v+JhmbcfV6ExdG95BnUg+vwlDSRZqJy9K8q5QkHaEguzLvPvOB8yYMRM3Nx0nTsSyYsVy5n40l4snfwMEFEonfHzb0bHLI2h11a20epdgnJwDsFgNhIb2JySkH0lJW/APkLBs2Uo+++xjFiz4FoPBgNVqRSqVolDIOXvmDMePH6Vjx87X/HmI/LcRBZPILeHQoQPcOf0O9B1DcH+kLwEBbliLDBRsO0/+tnP07dmP4OAQ7pk9HbeJnZE7qQEoPnoFbYtAlJ4Nq+vkcVt7DNvO8dyzL1a53rt3X7p3701CQjwbN/7J2/vfQD+gY6P2IFUqcO7XgdI9J/CYdm1FOSVSKUqthtLSUlEwifyfkp6ehkx7fcfCaicPQMBmNVbJyl0fMrkSr6AOxO76HIfdin9ACA/Mms2UKVNxdb2aaFaj0TB58lR27NiBXNmc4NDeDTr68w3oSE7mGfz9OiKRSAgK6seRo3NJT09j9OhxLFq4EBdnfzxcWuPuEo7DYeHsqfNMmDCOu+++h9dee/OmWIBF/t2IgknkppOUlMiUuyYR8NhA3HterZem9HRGF+GDx9BWvPb8KwT4+5MYf4Xwh6/6LNhKjSg9Gy4s5B7OlJeU4nA4kNbglxQeHsGQIcP4aP6nyF0a/oD/C1WwD+Un4xvd7y8cdjsWoxG73YbNZkPewBQEIiI3mtKyMqS1lBhpDFKZEofNAo3Mveod1AGHIZkjh4/XmywyLy8ftdq7wX5SKpULNpuh8m+5XIWbawDnzp3huWefwc2pHUF+Par00Wm98fPqwK9LfsLPz5/Zsx/857AiTRzxaS1y0/lmwVe49m9eRSz9HW2oF3739eb9T97D1d0NS04xKp+KYwKpSoHdaGnwXA6jBYVKWaNYArBYLGzevAGrzdr4jQDIZQh2e6O6WDJyKd19HPPlFCxJGeAQ6NipDVKZjLCoKLp16sLUydPo0KGT+FYrcstwdXHBYbt28Q8VwRN2qwmZQl1vW5vVRFlRGjaLAYlUjgQoKytpUGZtrU5LTn7D6+HZ7Wak0qsRe4LgoNxQwLFjR5BJXKqJpb9QKfVEBo/mk0/mMnPmfSgUjUt8K/LfRhRMIjcVu93O738sIfKTyXW28+jTglNf76B7p26cX30Cp1ZBFeURWgWTtnAXdpMFmbrmt2Fzej4Fu85iKyjDnFlIcGgoZrO5SrkRs9nMB3PfZ9HiHxBcnbCWG3FYrEgbmQnclluERFP/PweoEEr5P63HHJ+GrlsHnAf3QxkSiMxVj0QiwV5WTnFKOusvJ7Jy6gQC/QL46L2P6dat5qggEZEbSfPmLbAsW3NdY5QXpCJXaZHXIZjKizPJTDxIbtpJNFoP5EotgsOOsTwXh8PKokXfM3HiHTUeUZ86dZKvvvqK/fv2YDQaSErYjpt7BAFB3XHWB9b6gpGXfQ5X19DKv7NzTqNSKfjj999RyUMwmArQqt1r7Kt3CkQu07FjxzZuu21Y4z4Qkf80omASuakUFxdhNpnQBNeeMA4qiucqfPWcTL5EWWYujg/X4je1F5ogD9TBHhTtOovH0KqlGMyZBaTN34jhcgb6Xq1Q+HqicXMl9/gVYtpG8fgjT/L4o49TUlLCiDHDSTAW4vTUJNTNArC89j1lh86h79OuwXsRHA7Kth9H1aZmS1llO0GgeOMBilbuQH9bXzxn3V1jmRSZkw5NTBSamCiE2weRd/gEk6ZN4M5Jd/LWG++Kb7ciN5yiokLWrl3NwUMHiT19mvzsJHwLM9C5XVs+sOy4A/iGdK3xqEwQHCSeXU9OynF8AjvRocejaHQeVe4X5Fzk08+/59333ua3X5fSqVNFupGysjLuvHMSe/fux9unIzEtZ6BQaLFZjWTnnObsqZ9wcvYjps2dyOVVxZrFUkZuzlm6dX0Cm81MXNw6cnLP4qRzRaXwwmwp5XDsV7jpQ2gRPgq1qqrTu0QiQav2JjU1+Zo+E5H/LqJgErmpqFRqHDY7DrMVqapuAeCwOfB7YDB+OjXJ767kwsOLkFDhKJ21cAeaSH+0zSqi00ypecQ//zNuwzrj/8xkpJq/CZJJfTFdyWDeF1+RnJpEYuIVkhRm3B+9s7KAr35IF4o3HGyUYDKeTcRJrsIUG4etqBS5a/U3YkEQKPhlA4ZTcfg8NwdlQO3RdH9HIpfh1LMzmpbNWbFoKXF3TeLXxb+LRXlFbgiFhQW88eZrrFixFDffSFT6YLS+vXA3a8iOO0B4lwmNHtNqLic/9TQdBz5T7Z4gCMSdXIahOItOvZ9Eqar+W5FIpHj4xODhE0NOZiwTJozhjz9W0q5de8aNG0NWlpmOnZ6qkgxTpdIT7jSY0ND+XLiwnNMnFtK24/2Vbex2C5fO/YZWq+PwkU9wOOwVyS6bT8HdpVmlRcpmM5GYtptjZ76jc5tZqJRVg0ocDgsqVcMsySJNB7E0ishNRafT0aZTB/L3XKqznSEpF0teKbpIf7ThPjT/+n6cw3x59eU3SIxP5+P3PyXt1d/JW3MEW4mBpLeX4TG+F56T+lUVS/9D3cwfnzensXTVMk4mXsb1gdGVYgnAqUsM9tJyCjccrNa3JuylBkp/3MTzTz3P1AlTKP74V+yl5dXaFa3dgyE2Hp9nH2ywWPo7Mlc9+ofv5nRuJnMeFZ1ORa6fXbt20K17J3YdvkjLgU8S1nk6/s374eoTRVDL28hPiaUk50qjxhQEB0nHVqB19kGlca12P+PKHsoKUmnT+b4axdI/8fZrS0jzMUydegcffPAuKakFNIsYX2PmcKjIHh4TMwm5TE1K4s4Ka1XeZS6cWUi7thFcvBjPvn1HUCrVdIiZgYdrRJXjO7lcTWTobXi6tyAueUuVsa02Izn5l+nbt3+jPhOR/z6iYBK56cy57yHylx/HbqjZaVNwCKT+vA/3wW2QqisekFKFHNdxnfnpj59RKpVMmTyVP35eQUSig0szvsBhdeA2ou4yBnK9DodOhfb27tXyLUkUcvyeu4vClbspXLsPwVF7IkBrXhH5b//MqAHDuHv6TN56411G9R5IwZs/YDx7hb9yv5qTMihetwevh2cgc258BN7VtSlwnjWZ7ft2sW7d9fmYiDRtNmxYz9333IV39EhC2k9EpXWrcl+tcyei8x1c3ruY0tzEWkapiuCwk3ZyDRqhBInDgM1qqnLf4bCTFrebqNYTkCvqd+j+Cy/f1ji7hbNw4fcEBPSvN6+TRCIlLHwQaan7OXl0HgW5O3j8sQf55ZffUSqVbNq0AS/3SJx1tWfuDg3oQ27+BSzWqy8/qVn76da1B8HBIQ1eu0jTQBRMIjed0aPH0at9dxJeWoUhKbfKPUt+KfFz/8SUUYzfnX2q3HPpGkX8uQsYjRWFebt1686yX1fSuVsP3EZ2qzeizJSUha24HF3XljXeVwZ4EfDm/ZTsOkHKE59TuP4AtuIyBEFAsNkwXkqhcP4qMp+az4wxk/lk7ryKrN1SKR9/OI/XnngB4ZctFDw/n+KN+8n9dgUuo4ag8K7bX6shSNVqnKaN5YlnHsNgMNTfQUTkH1y8eIEH58wivMtduPvX/BsAcA9oRXjHCVzcvZC0M1uwGIprbCcIAsVZl0nYvwgPjYktm3fQp3dvEmN/x2G3VbYryDyLSqXH2SWo0Wv29OuC2WLB2TmwQe31+iD0zp48/NADHD8ey6xZDyKTVQitvXv3otc1q7O/WqVHp/WmtDwTq81IQupWissv8Om8zxu9dpH/PqIPk8hNRyqV8t1XC/nwo/f47tlv0AR5YHdTYjdYKD2fjmvPFkS+Pw2ZturRmkRaIYgc/7D+pKaloBk+sN55TQmZaKJD64yEU/p5EDT3YYxnEijecpj8JZvBIYAgIFUreerRp5n+5R/4+PhU6SeRSLj77pncddc97Nq1nfc/fp/T+SU4979xEW7qmEisft6sXr2CO++864aNK/Lfx2azMfuB+/CJ7I/eq+Zis3/HI7ANaidPMi7v5tSfH+Dq1wJX/xb/i2izYS4voCT1JBqVnAfvm8W9985Co9HwzdffMXnKRC4fW0RY2ztQqvVkJR3BL7j+F5qa0LuGoFTpKSyMx9OzRcP66INQqdTV5nPYHQ3L2yQ4SM3aQ2l5Fj269+LjT3YSGNh4sSfy30cUTCK3BJlMxgvPvczjjz7Ftm1beP3tVzBEudLyhzHYykzkbTyJw2RBHeKNS7copAoZpaeT8Q0ORKvVXtOcDqOlRv+mfyKRStG2jUDbNqLCumSyYC83kvX0Vzzz9PN19pVKpQwYMJg/Viwj2c8Niazh5SEagqxXJ75e+K0omEQaxcaNf5KdV0xUn94N7qNz9SeyyxSs5pHkJB6lKO0CNqsRS3k+URHhfDh/Pv36DaiS40ylUrH0jxW8+OJz/Pb7XLz8W2Isy8E5MuCa1i2RSHDSB2AyFlxT/7/TvkM7VsTvwo92AJSUZZBfdBlBcKB3CsLDtRk2uxmjOY8nnn6VUaPGEBQUfN3zivx3EY/kRG4pGo2GkSNH8+qLr2OPyyX12y1cenwhxpQ8bEYr2SsOcm7GF5ScTKB49TFmz3yg2ptjeFgzTJfT651LqlHiMJrqbfd3JBIJEoUcW0EpKo268jiwPvYf3IeqTcPeiBuDulVz4s+fp7y8uoO5iEhtfP3t17gG1RzuXx8KlRMBLfrTvMfdtOz7AGEdJpCfn0f//gNrTAirUCiYO/cTThw/y113DMdmNSCtxVm7IchkSuz2hierzS9I4vLli5SUVD1KnD59Btl5Zyktz+LEuUWcPP8TJlMxNquJy4kbOHjycxJSd9CzV18eeuhRUSyJ1IsomET+TxgxYhRSgw1rYTnRix4l6PFR+N87mMhP7iXgoREkvr0cdZ6Zu6fPqOxz8eIFnnjmUQ7u3Uv+2gOVzta1oW7mj/FcIg5L/Vm9Bbud8qMXyHhnMQnT3iDzzYWUl5UREuJDtz5d+OmnRZSVldXYt6iokPzsbBT+jY+Kqw+pWoXO14dz587e8LFF/psYDAZOHj+CR1CbGzKei08kBQUFJCXV7RTu7e3Nk08+g79fADZb415U/o7VWo7V2jC/vZKSVEzGYnZuO0qrVs155523Ko/wAwICmT3rQU6cX4ha6UKf9k8SEzaS5iFD6dHmYYJ8upKRfZzHHnvimtcq0rQQBdP/ByxatIhBgwbRunVrRo8ezbZt2+rtk5+fz8svv0z//v1p374948aNY8OGDbdgtTeGpKREystKCX1pYjXfJZeuUXiO7kqrVm0qs//+suQnhowYwOaiePw/moVEIadw/eE655C7OSGRSCk/dK7OdiU7T5D8yKfk/7EdTftWBH31KsHfv0XQd28S/MNblA7uxDs/f0PLNlG89uYr2Gy2Kv3T09PRerhXi8S7USi8PUhPT70pY4v89zh37gx6N+9GRajVhUQixcUzmNOnTzWofafOXSjKrzuNSG047DbKipIoL0/B4ai7BJEgOEhM2Eagb1diIqbSIWY2v/z8Ow8//EDly1S37j1QKbXEhI1CKr36+5RIJAT7dsXPuyX79u25prWKND1EH6b/Y77//ns++eQTHnroIVq1asWKFSt49NFHWbx4MZ07d66xj8Vi4d5776WkpIRHH30UHx8ftmzZwhNPPIHFYmHMmDG3dhPXwJ9/rsWlR3Q1sfQX7re1Z/P9XzFgeD+8XNw5eOwwPq9PRxVaYcUJeG4Kqa8uwm4w4TGqezVfJdOVDAq+XEePjl04vekITt1bVRM0giBQ8NtWSvedwXPWJFTNw6od/0nkcrSdWkKnlmiycvn1x7WcPXeGnxf9Wulb5XDYKx3UbwoSSTWRJiJSGxkZ6aidrj9S8+/I1a6kp9d/DG42mwnw92XdurUEhg2oNzXAP8nLPkt4s2ZoNRri45fTrNm4GnMxORw2Ll5Ygc1qJCywLwBajQetI+9m+7aF3Hff3eRk5xIffwWF1AmDuRCduvpn4uPajuXLl/Hccy82ap0iTRPRwvR/iMlk4ttvv+Wee+7hoYceom/fvnz22We0bt2a+fPn19pv165dXLhwgXnz5jF27Fh69OjB66+/Tt++ffn+++9v4Q6unbKyMtDX7pAtd9Eh2O0UDIpgz7GDuD84slIsASgDvQh6516MF1KIv/8TMr9ZT/6aA+Qt2032S4vJf28Zj90zh+VLV9E2NILCr1cj2Kq+sRau3kPZkQv4vvIg6hbh9Ub1KHy9cHlyOmdKcpg5+x7s/yvC6+ysx1JaXu8R4bUiGIy4uLjU31BEhIoXAQk3WsBL6v1+FxUVMmbM7fz+xzoUCh25macaNYMgOMjLPMycB+ewatUaWrX04/ixT0hK3EpZWRZmcwnlZdkkJmzl4IEPsZnL6RBzdxVBJZerCQ0YwqaNmynL9yXIayA6jTdHzi4gPfdktTmVCq2YtkOkwYiC6f+Q2NhYSkpKGDJkSOU1iUTC4MGDOXLkCCZTzX4ATk5O3HHHHbRu3brK9dDQUFJSUm7qmq8HQRDYuPFPptx9ByvXrcR4uva1lp9NRunvgVytQqpRousYWa2N0s+DwNfuJvj9WchcdJiTsylcuZ9np8/hfOxlHnnoMRQKBetWrqaZQ0v++0swxaUiCAKm+DSK/zyA91MzkLvpa1hBzUiUCpxnT+RY/AUWLvwOoCLBnd2OvaCo0Z9JfQgOB6VJqbRqdWP8UUT++3h7+2A2Ft3QMc3GApKTE1m3bg2XL1+qfFn4C4PBwLhxo8nOFYhpey9RMWO5cn4dpcVpDRpfEASSL6/Hz8eFMWPG4+TkxKZNG1i7di1qdS4nT3zL4UMfc+rUD5gNhbRtMZV2MdOr1ZEDcHcJRyHXolLo8HJrTnT4SDrFzCQuZTMl5RlV2haWJmO1Whk2dAhffDGP4uKia/6MRP77iEdy/4dcuVJRjiA0NLTK9ZCQEOx2OykpKURFVS/02qNHD3r06FHlmtVqZdeuXURGVhcW/z8gCAKPP/0If+7YhNPt7ZG360j5vLWUnriCc4eqyeUcVjvZf/w/9s46vsq6///P63RvZ93BxmD06O5GpCQVBRQQxY7b7tvuQgUTKRUEUSRFRDpHD8Zg3Xk6r98fuxnMNaj373u75z88ONcnr3N2rtd5f97xO74jumA5dgFdj0SEWqJzLqEIDyBg2mAASsyrMBr9qtVgMxgMrF/zI2+8+TpL3lmMxVeLTfSgG9wTeWDtFcvrQ6JUoBo/iA8Wf8htt81HIpHQqm07Lh5IRt02AXl4SL3rbQqu7DzUGjWhoVdXHLWZfx7t23egrCgHj8dVZ2mRpiCKIqX5F/hxg50fN/yC1VKC1+tiwvgbmDfvdtq2bcdTTz1OcYmbhLZTEAQJRr844hPHcXz/EhI6TMY/qE2dFly3y0bGuZ9QSMtZtWpjtb/dpKTOGAw+JMaNJzigXaPWKwgS/I0JlJkz8feNB0CvDSEyuAcZeXtpFzcRqCyBciFnJyG+bXCVRvDZRyv57NMlbNy0leDgPz+Ao5n/+zQLpr8Iq9XKli1b6rweEBCAyWQCKi1GV6LVagHqjMqqjVdeeYX09PR6j/JqQyIRkPyV/jf/YceO7fy4+Sci356FTFfpjCpRyEh/eTWBE3vhNyIJmUGD+UQ6+ct/Q5DL8RvVnfwvNyMxNL7MiEStwOGwI5NVChaptPJfjUbNY48+zkMPPszKlcu578F7Cbjzpqvej6pdS0qWb2Dr1o38vOlnjh9LRjwpwbztdwS5DL9ZU1AlNJwwsCEcuw8x5YapyOWN8wW5tN9L//4v80/aKzR+v0ajLwmt2lCac5KAyE7XPG95fgp4obQkG4VSj8vhICy6D7sPZLJu3Qgm3XAD36xaSaduC6ulMQgJ7YRCruHs6bVcTNlIaFQPAkI6IFdoEb1urJZCctL3UJSXzNBhI/j4o7UYDD6cOHGc3bt/x+GwIpUqKCosRK9q2t+SVKrA460eHRvk14YjKV/j9bopLDvLucwtBOjjSAgfhiAIBPsmcjZ3I8899zQff7z4mu9bM/97NAumv4iSkhIefvjhOq937969hpXoEpd8BWrLeVJb21dffZWlS5cyb948hg4d2qR1+vlpryojb1P59vtv0I3oUCWWAAxd42nxwk2kP7OSolW/43F7kPpo8J/QB7/RPRDkUmQ+WpwFZVV9HBfzKP15P9Yj5xBdHhQRAfgM74q+V1sEmRRPsYno6HCMRm21+Q2Gy/O6XDZ8O7dF5nf1fkGCRIKif1fmLZyPzWbDMHFEZZZvQcB64BhFH3xJ6PMPIW2C2PsjHrMF274jPPj+4hr7aYgr9/u/zj9pr9C4/T704L088tTL+Ed0vOa/77RD32MMSiC+4yRkMhXm8hxO7vuMhPaTCInszcbNaxBFCVKpokZfv4AEevR9kJKis2Rn7uVCyka8XhcgoFDqCQ7phFyu4NVX/s2ePb/x6qtvcDblLAH+rRBQIOIhLz+buChTtXErzNlk5uylpPw8Xq8HnTaYiJDuBPonIhGkOJ1mNMrq1mMREZfbxrYDz6NUaAg1dqJl2JCq+yMIAlEBvVm37iNWrvy6Ud+/zfyzaBZMfxERERGkpNQfWrts2TIALBZLNafeS06Ien39Vb4dDgePPPIIGzZs4LbbbuOBBx5o8jpLSix/i4WpoKgIaXzNh74mIQxDeCAfv/AOXq+XW++Zj9/YXlVRZ/rebbj48BICZ4+iYkcyRcu2YRjWldB/3YRErcSWkkHJ6p0UfPITouhFEGHd+p8ID48hLi4eqVSCwaCmosKGx1OZn+Xg0WTE2Gs/4pK3jKL0x+0oIkIxDOlT9bq2e0dsh45j2X8Ew9DGZ1r+I9ZvfuL6seMICoqgtLRxiStr2+//Kv+kvULT9jtixFiefOoZijIOExjd5arnLM46htNeRnyHu6v8hXQ+YUQmDCYnYx/tutxC6063cP7UDyQf+pSk7guQyf5Q4kiQ4B/YGv/AysSuXq8bQZBctkYJXqZMmUFBfgmhwX3oljQGqeTyUaJaGUxOwRHCgiv3kZG9iwtZO4gI7kbn1jORSOSUVlzkQuZ2cvIP0TZhMgXFp+jW7rZq6ygqO8WkiTfw7nvvk9i6JeH+STXEpFKmxel0UFBQVu1o8K+iqT+Emvnv0iyY/ovExsYCkJ6eTocOl51609PTUSgUREbWXc/IZDIxd+5cjh49yiOPPMLs2bPrbFsfXq+I1/vXRHddSd8efUneuAyGdap6zWO2U7LlKGXns8nLy2PcuEmE+AVSsnIHftMHIAgCyvAAVPFhFHz2M+b9Zwh/7laUkZfrusmD/dD3bk/e26tAkOBzfT/W/XaM5QN7c+eCu3j80Scq5/J4cbu9pKWlsnvvHoR+1+5ELdGoQARpgLHGNWmAH94KUy29Godl90GkF7J4cen3uN1NFwOX9vtP4J+0V2jcfuVyJYs+XMzUaTegM0aiNgQ1eR6nrYILR9Yik2tq5HRSafxxOSs/34IgENfmek4d/oq0cxtJSBxX77hX5kMSRZGKsmwqvC46tp2DXFbTehYS1JHUC5swW/OxO8q5mL2Tbm3nolVfThOgUfkRGtCBo2dXcPzMCvTaYHTqwKrr5eYscosOseCOFzl16hTBwaEUlKcQq6pu5S8oT6FVQlukUvk/6jPVTONotjn+F0lKSkKj0bBp06aq10RRZMuWLXTv3h2FoqaJGyoLa95+++2cOHGCt95666rF0t/JjOk34U0ronDl73hsTvJW/Mbp2e9Stucshn7tefLdl2jXqRVzb7kN2f4L5D32JaWbDlKx6yRKgxbTrhMYx/erJpYuIcikBM0bh/XoOWRGA76zRxP8yh18suJLXn/zVQCysjK5/oaxDBjSjzyHGdHVcPbvhhCdLiRqFfbjKXitl0uoiC431oPHULS8Oh8my97D2FdvZMXSVRgMzekEmrk6evbsxROPP8m53YuxlDacQ+lK7OZiTv26iKCQjiCKlBdXz/JdmH0UH+Plz7cgCLRsN5GCvGRMFY2fq7z0AjZLIR3b3FyrWIJKf6ToyP4cO7OSi1m/ERcxuJpYuoREIqNN7PWUmTLwinayCg6RV3ScM+nrSD63lMcef4L777uH668bQ3mRm7Tc38grPYUoehFFkeKKNNLyt/LoY483ev3N/LNotjD9F1Gr1cyZM4cPPvgAuVxOUlISq1ev5uTJk3z55ZdV7fLy8sjLy6NNmzYoFAqWLVvGwYMHmTp1KqGhoRw9erTauJ06dfp7N9IIfH2N/LRuEwvvv4MjM99G4qsl9s35KEIv+xlYjl/g0acfBY8XuUaN6attBAQGMmnEdXy6+xSGgZ3rHF9q0KLpFI/14GkMw3sgC/DF+PAM3nj0dcaMGsHYiRMQerYn6M2HKP9hO+6C4mvek7ugBJm/EVmgH/mvfIR+WF8EuQzTtt2Idgemrb+jCA9B5ufbqPG8VhuW1RsRT53j++9+oGPHpGteYzP/bObOvR21Ws3jTzxKUFw/guP7IZXV/kMMKo/LCtL2kXFiIxGx/YlqMQitIYzTB78ivEV/1LpAinOPU15ykaRed1brq1DqCYvqSXbGblq3m9yo9WVn7iUirCdyef0FtqMj+mGzlZCTf4ikVjfW2U6l9CHQrwXDR/XmyOGjpKal4fG4kEnlPPvM0xi10fSOvxOJREaRz3nO5GziVMaPCIKAj6+BV157ndGjr2vU2pv559EsmP7LLFy4EKlUyjfffMNnn31GfHw8H374IV26XPY7+Pbbb3n//ffZtm0bERERbN68GYBVq1axatWqGmM25Dv136JFiziWf7GSdh1bEfnMTBQh1Y+ytO1jCblzLEXf7iTyjQW4C8so+2wzx08eA0Ciq9/ZVWrQ4bVfLtopD/ZD26Elo64fi2JkH3QjKv2MtD07kv/KEoyTRyIorj7s2vzrAbTdOqHr2x3L/iNYDiSD14OuZxc03TpR/vMv5D77FtqendEP7IU8tPZjEXdZObadB3DsPMCgAYN44/fl+Pn9uZmam/nnctNNt9C7d1/uvf8ejm56kYDIzmj8Y9H6hCGVq/B6nFjLc6kovEDhxYOo1L506DYXvU84ACHhnVGrjeRk7KW0IAWDMYakXtehUNYMaAiJ7M7B394goc2EakdvteF0mCkpPEPrbqMb3IMgCMRGDSK/8Bgyaf2+RWqVD06ni/T0dBIjrsdfX2kJKzFd4ET6OnJKTxDh34kAQxx99Auw2Is4k/8jjz/+CJMnT21wLc38cxHEvyo9cTP/JygsvHo/m6th+fKl/HvZBwQ8VvsvUNHj5dycN4h4bjbKyCC8Ljc5d32A1+Yg8JnZKKNqHsldIuuJxRhG9kLX+3JCz4IPvsNbbiPwgVnV2ua98BG6Qd3R9anbalUfrtxCcp/9kIiXH0eiqvsL3JVXQMWOPVj2HEKiUqGIDkf6H4uTp7gUaX4x9pJSRo25nttvm0+3bj2uaj2XkMkkGI1aSkst//M+GP+kvcKfs9+UlDMsX/E1e/buJfXsGeyOSgdyrSEMg08UwWFJ6H3r9p1sDPu2v0S7TjPRG8LrbVdacp7zp3+kR+c76213CYu1kP1HPqR3h4WoVTX9BqHSpeHoucW4PVbiAkfjb6h+LF5qTufYhTX0T7wbyRUpEHJKj6MMzGfDz5v+OORfSmBg/YE9zfz/RbOFqZm/leLiYgioO9RekEqQ+RvwmCp9giRyGareiURk2MjatB/l3LG19rOnZePMLULTtXXVa6LXi+1EGgHza/5q1A/pScXPO9H26IAga/qfQcWGneh6dq5XLAHIQ4LwnzoOvxuuw5WTjzMjG0+FCUQRT/Jpnn7kaaZMmYZa/c8KjW/mv0OrVq159pkXqv5/8uQJxo8fR8deC/+0ObT6EKyWggYFk8ftaDDBq9frpqDoJFm5+zFb8pBJlKTn7aF1TO1WqVLTRdweG263Fz99bI3rvtooBEGKyZaPjyYUj9eFzVmGTKKkpOTaj+mb+d+m2em7mb8Nh8PB7j2/U3E6vc42XpsTV34p8oDL5UoEQaBj+454j5ynYuO+GjWtnDmF5L2xEuPkwUiuOGKznUxDUMhRtq75xanp1h6JVk3xZ2sQvU37tV6xdTe2E+cwjBrc6D6CVIoiMgxdn274jBqMz+ghKHU6EhPbNIulZv5r2O02ZPI/N3xeKlXg8dQfVCGKIsVFJ/G4bXW2sVgL2XvwHTKzdhPh35kBnR6iW+Kt5BUdIyv/YI3vAZM1n7MZ65g///Zq1qMrEQQBAQGv101K9hZ+PfkWB88vIzl9NWWlpaSmnmv6hpv5x9BsYWrmb+PW22dxqCANV1E51jOZaFrXNP2Xbj6EKj4ceVClyV30eHDuP8v49/7F1CnTuWn2DNLX7UQ/MAmJWon1+Hnspy/iO24APsN7VhvLXVCKIiK41sR9gkxK4F03kf/yYoo+WkXAbTc06M8kiiLmDb9Rtu4XQh5ZiMyn8TXoahvLUVGB0Vj70UIzzfwdaLU6nM4/t/isy2VFIqk7M73LZSXzwlbw5OMV7VhtxWj+EPVmsRZwKPlTYsP6Ex18+e9ao/Kjc8LNHDu/ioy8vQT7t0UqkVNUdg6LLYfnnn+Rm2+ezZIliymzZGDURVcbt9ySjcfr5GLhHjweJz3jZqFV+uP2OMgoOcioUUP59dddhIdH/Kn3pJn/DZoFUzN/C0ePHub3Pb8T8cGdqPeeJuvlVYQuuA5d1wQEqQSvw0XppoMUrdpBxNM3A+AuN1P2+WZaRsbi6+vLDdMmILQIQx8biru4DLHEjCzIH5VUSsWWfWg6t0J5RUJKV3YhSOv+4pZoVAQ/Oo+iRSvIfuh1dAO7oRvYvUYxXq/NgWXPUdw7DuEjkWOV1x1l1FgcZ8+j12hp0SKu4cZNQBRFjh49yi+/7ODQ0aOUlpWhUipp2zqRjh2T6NWrT53pKv5sSkqKOXYsmcLCAkRRJCAgkPbtOxIYGNhw578Aj8fD/v17OXLkMMeOH8Nis6HTaOjQvgNJSV3o1q070no+L38H2dlZ7NmziyNHj5Cbm4cgCMRER9OpUxIDBvT/0xMdtmgRh81qxuW0IFf8OWNbTDmkW/Nx2EvwD2yPQqFDFL3YbSUUFR6hIPcYAwYM4p13lvHiv5/j950HaRE1oqq/x+vi6ImlNcTSJQzaUPq0v5ui8nMUl6fiED0Y1KHYnAV0794TmUzGI488xvPPPU/r8HH4aivFT7klh6Np3xBoaElhxTn6J9xRlSBTJlXSIrAPrgILH7z/Li++9Oqfci+a+d+i2en7H87f5fT9yiv/5oszOwi8dSQApr2nKVzxC16LHamvDld2Ea0T22C1WMgvKEDqo8WSUwASCQadHrvTgX76cPSDutY6vmnHIUpWbCLixQXIAnyxnbpA0WvLUMdFY3xoVr1rE0URZ1ompm17sR46iTIuColOg0QQULpFzKfPk9SlC3fcdgdDhw7nqWefYPW5YximXn/V96NiyQruHDmeu++676rHuBKv18u3367knQ/eITc/D01MHN7AYKRqNV63G4oLcWdl4rWYmXXzbO6+696/JMdTcXExy5Z9xWdffU5BbjY+YVFItZUC1GM1UZ6dgX9gELfcdAszZ84iOLhuJ/6GaKwTtMPh4JNPFvHRJx/h9Iqog2KQ+gQjlSvwOB14Kgqw5l9ALZdy+/wFzL3t9r9NVF5i3769vPb6q+zbtxu/4Dhk2hDkykqHYKetFLcll9LCdCaMn8B99z1IbGz8nzb3oMED8MrbEhjSvuHGDWC1FHLywCK+//4HPv3sU7Zt3YrZXI5EIsXo58/UKdO45ZbZVRacM2dOM2LEYDq2uQ2tplJI5xYcJTt7H90Tb6tvqhpcyN1Opx4hXDf2et54/XVOnDyKgASFXIlKpcGLm4SEVhw5cpBwn44kho2oMUaZNZsM6zaSj5265nvRGJqdvv9v0SyY/uH8XYLpxRefY2nabgJnDa96TRRFHBfzsZ3Lwrl6Lykn0wCYfdvNbD+wC+0NA9B1bkXhp+tBIiPw9kn1zlG0ZC2uolLUnkrr0gvPvMjDjz5A0Mv3I/Vt3BeTx2TBfuo81jXbGNVnIIMHD6VLl27VLEFpaan0H9yX4Bf/heQq/I/cpWUUPvsmyYdP4+9/7ekDMjMzmH/nPM5mZqAdMBRt67YIdVhK7NmZWHb/hpCTxYfvfcSgQUOueX6oFGwff/IhL738b/SxrdG0644mIhZBWt2ILXo9WLPTsZ7cT8W5E9x37wPcfdd9yK7C8b4xgun48WRum3crFW4Jxg6D0YXG1XpEK4oi5pxUSo9tw1cpYfHHn9Ku3bULiIaw2Ww8/cyTrPpmJSHxAwmM7oZMUftnymErp/DCXgov7uaBB/7Fwjvv/lPqnX311ee8/uZHJHScdc1jpZ/dwMC+LXnttTcb3WfRovd54/U3aZNwI1pNIAePfkxkYHdC/ZuWjd/uKGfvqfdRKtTEBgwkUN8Sh9tMZsl+rN5stmzdTnh4BE8++SibVx8iIaSmD2KFLY/zFT9z4uTfk5qlWTD936LZ6buZv4WBAwfj2H8W0e2pek0QBFSxIXgLyhk2rPLX3smTJ9i2YxtBL9yGoW9HkEmxHj2Hz+g+dQ1dhWFkL1wpGTwx525OJp9lxoyZDB85GutvBxu9Tqleizw8CMFm580332Py5Gk1js1atIhnxIjRmD7/FtHjqWOk2vE6XZg+XcXMmbP/FLGUknKGoSMGcVGlIWje3ejadqhTLAGowiPxn3wjimGjmXXbLSxbvvSa11BWVsqY60fx1iefEDZlAYFjbkQb3bKGWAIQJFK0kS0IHDmNiBl38/Hy5QwbOZjCwsJrXscf2blzB9ddPwpPWAciR8xFHxZfZyFaQRDQh7ckcuQ8nMFtuO76kezZs+tPX9OVmM1mJky8ng1bfqftwHsJbdm/TrEEoFT7ENFmBK36LuCDj5Zw5523421iwEJtTJw4GZsln9Ki1Gsax2YtoSDnEPPm3d6kfgsWLOSBB+8n+dSnpJxfh8VaSLCxTZPnVyl90KnDCdZ1IMzYAblMjU4VSGLYGNSSEJYs+RiAESNGUeJIxSvWvHcF5tMMGdK0AubN/HNoFkzN/C306tWHhOg4sp/6igsPfkzK1Oc5d+sbZL64HPOWI9xzZ+XR1Pof16Hp2RaprjLzr7ugFEEhRxEV0uAciohg1D4GunTpVhV5dtftC7Ft24srv3Ehw6LbQ8mX6+jSuWu90WsfvPMh0XI1FZ990+gyK16bnYJ3FqOxO5k2eVqj+tRHUVER4yZdh6J3f4zDRjcpPYKuTXsCb5nLY08+yrZtm696DeXlZYy5fjQZLoHQqXeiCmp8UWOlfxAhkxdQqPJl1HXDKSoquup1/JGzZ1OYecsMQvtNw79N7zqF0h8RBAkBbfsS3Gcy02+cSlratYmIuhBFkVmzZ5JT7KRF91tQqBsfQKAxhNCy91y2/76Pp59+4prXotPpeOONt0g/+z0u19U5gHu9Hs4kr6BFixa0bJnQ5P4LFixk48atJLYNQCHTNJj0si70mmCo5b0O8+nM6u++A6BPn37Et4zjVO56nO7K/XpFL9mlx8g1Heeuu++9qrmb+d+nWTA187cgCALdunTHWVSOcXw/Yj56kLB/zUAQJBj9/Kt8WWw2G6Lmcpiz6PYgyBrviCvIpBQXF+H5j+WnW7fuPPnIY5S/8SWuvPofyKLTRdFHqxBdbg4cPczKlcvqbKtSqfj+m3W0N/hR9trHmPcdRnS5a23rdTgx/b6P3BffRaLR4UiIY+yksTz97BPXZCG4/6F7kbRIwNCjYetbbShDwzGOn8Iddy+grKy0yf1FUWT+HfMoVWgJGDqxXstWXQgSCf4DxmL3C2PWrTfXCBW/GtxuN/Nuvw2/9gPxiW66pQLAN6YdxjZ9mb9gXtVn6c/k66+/5NiJ08QkTak3oqwuZHI1LbrO5Kuvv2Lv3t3XvJ7rr5/AqJEjOL7/kyaLJq/XQ0ryKgQRMjKy+eGH769qDa1bJ9K7dx9k9ZRuaQiJIMUr1ny/ZFIlDocDqPwu6ty5C0Wmi+xIeZ89qZ+z48x7nM3fjtHod01+dc38b9MsmJr5W7h48QKff7GE8H/fhr53O2Q+WlTx4YQ8PB1bsI7F/zGX9+ndB8/hc1W5kWQBPnjKzXgqLA3O4TFZMeUXMnnqeGLjw3ng4Xs5c+Y0jzz8MP26dCf3qXcpWf4jrrzqxz9eq52KzbvJefJdvHYnQQ/Ow+eum3nokfsrE23WgU6nY9XX3/LSw0/guyeZzAefpeTbHzHvPojl0DHMuw5QsnId2f/6N9Z9yRjHjiHo1lvwGXcdAQ/dw7If13HP/XddlUjYvft3du7Zhc/whstK1Ie2dRskUbG89kbTo4LWrPmWA0ePEDB4AkIdeW8agyAI+A0YS8rFi3z51WdXPc4lvvtuFbkl5QS0G3BN4wR2GERGbgHr1q255jVdicVi4amnnyCywyQk0qsvzaNQGwhPHMUDD9z3pwjNxMQ2eFw2Dv/+LmXF5xvVx2rOJ3nvIlwOEx07zqZF3HgeeOA+LJaG/16vJDc3h4ED+vLG669jd1quej82Z3lV5NuVFFak0Lt35Q+LCxfSWLr0C3pFzaJ/i/m0ChxA18gpDGxxJ6JNw5Iln1zV3M3879MsmJr5W/jhh+/R92qLzL/60YMgCGhGdWP5d8sBGDJkOME6X8q+2IjX5kCq06Dp1BLT9ob9kEw7DqHulEjEkhfwe2oBP+anMnj4IF5/802OnTyB79SxiG6R3Gc+JOfxd8h7aTG5z35A1n0vYztxDuPUsQTePQuJSokiOhxNu1YsW/5VvXPKZDIGDhxCaXExPoP6g1vElnwG88792I6lIEhkhNx/FyELb0fbsX3V0ZDMxwefBbfy045tvPPeWzXGtdlsFBQUUFJSXOvD48NPFqHp1guJUtXgfWkIbZ+BLF+xFJut7iSCf8TtdvP4U49hHDwBieLaEx9KZDL8hk7i2eeeadI6amPRx4vwSezXYBbphhCkUgyJffnw40XXNM4fWbPmW3TGcPT+0Q03boDAqM7k5udz4MD+axrH6/Xy0UcfkpAwibi4kZw+sozjBz6jOP8Ubpe9eluPi7KSNM4kr+TIng8IDGhLx45zkMlU+PnFo1YHsnbt6kbPnZeXy/Bhg3GZjfRotRABgXJzZpP34PE4Ka44R7n9Ig6XGai0guaXnyGz7AD33f8AAOvWrSFE3wqVXI9KrsdfG4NBFYxEIiFM24kVy5c3ee5m/hk052Fq5m+hvLwc0VC7T5DMqCcrO5s333oNq9VKWWkZZefOUbbzCBo/X1xlFdiSz6Pp0hpFRO3mcmd2AeXrfyPw7psRBAF5SCDyaaNRD+zGU88/i6BQEtCvG4JEgu/EkTjTs/Ha7EgUCmQhAcj+U9/tSuQDuvPRko8IDwvn5y0bKS4txev14mc0MmzgEMaPn4RGo+GzzxcjxkThO6pmmHJ9SDUaDDfP4K133mDurfM5dy6FT7/4lF17d5Nz8QJShQKv24NSrSaxbTsmj5/I5MnTkMsVbNuykagHr91/BUAZHIIyIJBff/2FUaPGNKrPxo0b8CrUaKNa/ilrAFCHRqMKCGbdujVMm1Z3Rfr6yMrKJC0tlda9bvpT1uTboiOnv15DXl4uISGhje5nMlWQmnqOsrIy5HI5RqMfrVsnIpVKWbFqJYbQpD9lfYJEijGiM9999w3du199HcIDB/Zjt7sx+lVGEfr7J5CXd4T0c1uwmPNQqo3IZGq8Hic2azEqtS/BwUnE97gfpbL6jyA/v04sXbqUGTNmsm/fHr766kvSL6bj9rgJDAhk4qSJXHfduKrUDbNn3YxOHkeL/0StRQR2IbNgH776qCbtIbfkOB07JhEfF8/atYvQawIwWUpxexwolUreefst+vbry1dffklOcTZZJSfx00QTbeyKv7ZSvCplWswVf299zWb+79AsmJr5W0hK6sLSDd8hzhBrOOCaD59FHh3CO2uX4swuJHDBDUREBWM/fRHTN9uYOO4GOnXoxDP/fgbd1KFoe3eoKoHidbqw7DlOyYqN+E4YhiohptrY8pBA5N3b47W7qiwOEpUSVavqRTn/iKesAtvJc5iLCnnk9ReRdGqHNDoEBAGP2czuj9/jsScfZeqU6az+/ls0t1zdA14RGoI8OJCBQ/tRUFSEplt3lCNGEx0WhkShRBRF3KUlZGZk8OrSL3jm+ae5+cZb0Bj9ken+vJBkISySw0cOIZFIWPz5YlJTU7GYTShVagKDgpgxeRpTp06vyt20bOVyVIldGu1M3ViUbbry9cplVy2Yjh49gk9INJJaIvSagtNcRtmFY7itJqRKDc899xQ33zybHj161bvn48eP8cnij1m3bjVqrS9ypQZR9GIzl6HRqLjt1rmcPJFM4oCB17S+K9EaozhwsPGRoLVx5MhB9IaoyxZQmYqIiF5ERPTC43FisRTg8TiRSKRoNEHI5XUHRPj4xnLo4Dp69uhKcXEJQcZOaFRRCIKE9NQKnnriBf71rweZP/8Ohg4dxpkzp+nV+u6q/hGBXfj9+LuUm7Pw0TUu47bLbSW3ZC9vPvUm1113PeMnTGD2rJlE+CYRamgHCJzad4KffvoXUb5J9I8Zg4hIvjmF5JwfaOHfkxi/bhRZLpCUdHUFuZv536c5D9M/nL8rD5PL5aJb7yRcfVvhM65PlXixp+WS/fyXhNw/HVXrKAreX42gVBA4dwIA7pIK8h9+jx3bfufixYu8/NYrnD51Ek2LCKxWK66cQuThwfhcNwh1x1a1zl22ZjNemwvj1OsatVZnejaF73yOqnUC+oH9UEbW/qXtzM3D+ttuKvYdIGj+bahbNj1rt/nAYYq/WY1v3wEYBw9tMNLNkZNN6XercJpNRN71EFK1pslz1kb5wX2Ub9mAyuCDqkMPVGGRSJUqvC4XrrJiHCcPY05PZfz4G3jogYcZPmooPqNvRBVUf4HVpuIsKyZ3xXukpWY2KMZqy8P0zjtv8OkPvxDae0KT5xZFEXP2OQpP7sKUfRafiESUOn8EiQSvw4I1/yz+RiML5i9gypTpaLWXM2Pn5eUya87NnDl9Gv/YbvjH9kCl86s2tqkwjZIL+8i/mExIXB9iOlx3Tb5fl7BbSjjz23t89eUyNm3eyIEDB8nOykQUvfj6+tGpUyf69+/P2LHjq635Su65ZyH79xcSFd3/mtcjiiK/7XiKhOjRhAV3RiLUdGqvMGdzIWcjCqWIkkjiw6qH8ucUH+Ns5iY6t5qJXlO/Zc/ltnIq4xsGD+3LO+++jyAIDBrYD7EklEi/6uInuyyZ9OKD9I66perzZXGWsDdjKYkhwzlfup0Vq76jZ89e13gXGkdzHqb/WzQLpn84f5dggkpny3E3XEeRtQJN5wTchWXYUjIJuGUUhkFdAHAVlpH54HtEvf8wUm3lr9iyJT8wt+tQHnjgX0BlyPibb77KprNHMcy4DkV4/VEt5Rt+w5VVgP+cyQ2u0ZmVS8Grn+A74Tr0Pbs3al/W5BMUf72KoHlzUMXVLPRbF+YDhylZ8wOhs29FFdl4fxbR46Fg9Te4cnMJv3UBUtW1F+81JR+mfM8uom5eWKdQcZYWU3Hwd5wpxzCbKmh178tXFRn3R0SvB2dpEV6nHSQysr9ZxN5dB4iIqFlr8EpqE0yvv/4yX27aTVjPpmVhF71esnZ9T3n6CYIT+xMQ3w2ZSlujTXnWKcpT96CTe1nz3VrCwyNITT3HuPFjUAW1JbTNsAatWw5rGed+X4pcqaNVz5lXHUJ/CafdxKENL2AwBODr3xadIQK1xh8EAafDjLkiG2vFeSoqsrl1zlweeugRVKrqvm/z59/G0aMlBAV3QCpVIJdrr2ldv//2PN3az0ej8quzjcfj5NCpz1DJDHSKn1rjelbREc5mbiI6uBfhgV1QKvQ1+ueVnCSnZA8jRg7jrbffRSaTceFCGgP796Fv7J019uAVPew4+x7dI2egU1zOg3am8BeyTMm88cY7TJ9+ddbNq6FZMP3fovlIrpm/jdjYFsybPZ+31n+NPNgfZVwkQfdMRaq5/OUtD/RFHmTElVWAtFWliPD6aiktK6tqk5DQiqDgEGSeqAbFEoCqVSwVP//WYIoCr81B4duf43v96EaLJQBNx3aIXi8FS74g7NEHkBkazqnjzMun5Ns1hM1dgLIBYfBHBKmUoBumUrDiawp//J6QG2Y0qX9teOx2ZAbfeq06CqM/AcPGUWLwxfzrxmsSS16Xk4ozRyk7vh9bbgZSlQapUo3X7cJlt3HduNHcNOMmbp45m6CgoGp9RVHkwIH9ZGdnIJF4kUqVdOrUhYiISPR6PYLb0aS1iKJIxo5VOEoLaDP2fuQqXa3tBIkE36h2+ES2Jf/YFoaPHMLK5d8y48apaCO6E9KqcdYZpcaXNoNvJ+W3z0g9+C0tu027pqNNj8uOVKqkY497a1istLpgjP5xQH8s5ny+Xb2RdevW8sUXS2nXrj3p6Rf5/PNP2bBhPS6Xi+zsfXg8TkAkOLgj4eG90Okb77sF4PW6cXscyGX1C3mpVEFS4i3sOvwmZlshOnX1GoMRAUno1UGk5+9l1/F38DfEo1H5IwgS7M5ySkznaNeuPW88+RrXXTeu6h6aTBWoVbpaBZ9EkKKQanB7qjuyB2njkfiU/61iqZn/ezQLpmb+VhQKOUofPT5j+9bZxut0gfTyF79wMp1Od08HKo/2Nm78iXXrv8fTqnH+DYoWEUjUKmxHTqLpVne5Bcuew8hDgtH3qVnwsyG0SR2wHTuJaddejKOG19tWFEWKl32D76AhTRZLlxAkEgIm3EDmW69iSTmNtlXiVY1zCUduNqqgxj0Y9a07ULRj41XPZTp3gtzN36L0DSKgfR90I29Bprn8S9vjdGDNT+eL9Zt55923qsqnWK0WVq1awUeffESZyYQ2MByJTI7HYaM06zy9e/ejX5/eOEtymrSewuO/YS3IpPXohfVm2r6EIAiEdBxOrtfNhEnj0AUnNlosXUIik9Oy782c2PwuxdnHCIjo2KT+V2Ipz0FnCGvweE+rCyah/c3kZu5j7NiRdOjQicOHDxIc3JEO7W9Fr7+cdNRmKyE7Zz9Hjy5BowmiTdupqFS+jVuPpQClQt+gYAKQy9SEBiaRWXiAxKiaKTJ8tOF0aDEJh8tMfukpHE4TXq+bMksaLVvGo1SqWP3dd9jtdq6/fgJKpbKyoLDDjNVZikZhrDaezVWOzVWBVlE9y75HdP/t9QOb+b9Hc1qBZv5WBg0aiungabx2Z63X7eezEa0OlDGhlX4fm/YgLbMwdux4cnNz6D+kD/f/+0ksHeOxHT7dqNIkgiCg1Gowr92C12avtY0oipi370Hf/+qSQALo+/fGvHtvg2uynzuPp8KEb7+BVz0XVEbZ+Q0fTclv265pHFEUsV04jyqscceCMp0e0ePGbWtarh1R9JK7ZTW5W9YQOWQacZPuxDchqZpYApAqlOgjEwgZOp3oG+7m46+XM3BwP7p2T+Kdz79G3m4ILab+i5AhNxM0YDqhw+eQMONxUp0a3v7gQ8oKsnFZKxq3Jo+HguTtxPSe3CixdCUhnUZiczjRBtYfQFAXMoWasMSB5J2/tsSTFQWp6H0aF1EmCAIBIe3weGScTy2lR/eHiI+7vppYAlCr/YiPG0nvXv/C1zeWQwcXYbHkN2qOosJT+BpiGr3+iJDu5BYfw+utPfErgFKuIyqoOy0jhhAd3BOHw4qzMABLhpELR+w89+RLtG3Tkq+//hKdTs+MG2dyrngLbu/l7xm318nJnA2EGdohl1Y/kixynGPUmGvLadbM/z7NgqmZvw2n08mWrZuQyGWk3/Eaua9+je1MetV1j8VG4aI1yPVa8v/9BZm3v0zZd9vp3q0Hhw8fYvT1IyiND8PnydvxvWEEEp0G68GTDc7rLi7DmZPPwK49qHh/KR5zzUzGjrMX8NodqNtevaVGEROFVK/HeqL+Sufm3Xsx9Oj5p/j/6Dp1wpmfh7OgcQ+z2rBfTEN0udBEN85pXZDKUAaGYs/PavQcoiiSt3kN9uwMEqY/gD6mcfdZZQwiYtwCClBh9UDwoOkYohNrWFNkKg0BHfoTe8P9KHS+FJ/e26jxy9NPIFPp0QY2PSeSIEgIatOfovQjTe57Cf/oJCxlOVgrru7987gdFGYcISS8cZFdHo+TE4e+wN+/FW3bTkcmqz+Pl1QqJ67FMKKjB5B89AscjvqFqNfrJjfnABHB3Rq9B606ABGxqkxJQ2QVHiLYkEhsQE9CfNoQ5deVTiHTSfQfx9NPPsXrr79MaGgoDm8Zv517nz1pSzie8z2/nn0X0euhdeCgauMVmFPJLD5B2vnzXLx4odHrbuafR7NgauZvwe12M/Wmyby16nN85o0n7Nn5qBLjyH1lKcVfb6Ls2+0UPLSIAe26onJ6kUhl+N58PcaF09kjljNx2jhMkQHoJg1DEAQEQcB30ghKlq7DmVH3EYzHbMH0wQpuv/1OPv34C0Ym9aT0ufcwrd+Gp+zyl78jNR11m9bXlOxQEATU7dvguHCx3nb21DS0ie2uep4rkcgVqONbYrvYuMzMf0T0eineuhFj175N2rsmOh5T6olGt684cxTzhTPEjp+HTF17pFZdCBIJkcOmo/ILIWf3+nrbSmQKIgfPID95Oy5Lw1amolN7CGrd+FpzfySgZXfKc8/itDXOovVHpDIFgbFdyb+w76r6Z6f8isEYjUYb2HBjIDdjL1KJnISW1zVpz5ERvfD3T+BC2pZ62124sBWtOhAfXdOOmiWCpF4L0yVsjjIyCw8QZexS45qvJpyOoVN58/XX+eTdz4nR9KNT6Dj8NFEUWS4wecpk7BSTUraFPNMZcitOcSj7O47l/Uii30CO70xn6JABnDt3tklrb+afQ7NgauZvYePGDRy/eA6/R2ai6ZSAIjwI3zF9CLnvRsxbDzJAEsR3S7/FYrUidG2D38Oz0XZvj7pNHLrrBuD1iuiuH1ztS17TqTXGKaPIf3kxZWu24C69/NDy2h2Ytu+j7PmPuWHwcJ5+4hnkcjnvvf0Bq75YSR9BT+ETb1D+9LtUvPAh1p9/RVJHyHVTkGg0eKx1Z6p2V1TgtdmR/8GR+VpQRkRgz2m8tedKyvfuwmuz4de9X5P6+XbuSfnJQ3idDTtYe+w28rZ+T+TQaTUizxqLIEiIGDKZsrRjmHPT6m2rDY3BN64jF7cvQ6ylIv2V2Mvy0QU1PrLxj8hVOlR6f+ymqy8crPOPxG5uen9zaRa5qb/TMnFco9qLopeczH3ERA24qnQG0VEDKCg4jstV++e7uDiF7Ky9JMaNb5IY83rduNx2iirqL3RsdZRy6OxSooxd8NXUns5Cq/Aj2q87MlFLsD4Bf00MrQOGkBRyA2u//56fNmxm6uzryBcPc654J0ZFGP0j5hBp6EiC7wCC5W149uknG732Zv5ZNDt9N/O3sPqH1cj7dUCQV//Iqdq2QONv5MapN6FQKDl4cD/Bbz5c7QvXsv84yoQY5EH+fxwWXb+uyCNDMG3ZTc4jr1dm7JZIcBcUExoWzruvv8uMGVMoK7Pi9XoRBIEePXrSo0dPSkqKychIx2az8e23K1mfn3HN+xQ9HgRp3Q8jr8WKVKe95rIdVyLVG3CkN33t5pPHKP5lE1Ez70BoYqJHhX8Q6sgWFO7eQvDA+vNblZ04gCYkGl1EfJPXeCUyjZ6gzoMpPLoDXWj9fkPh/SZwZtmLZP/2LeH9Jtd5vz1OB1L5tZWXkShUeFy1+8Y1BqlcVaP8SEPYTAWc3vUZca3GVKYQaASlxakgihiNTc8XBqBWG/H1jSU/7zARkZd9/URRJD//KKnnfsDfNwa10rdJ4xaUnCKuRQIFpfupsKcRpO9EgG/LqvxNFnsR6fl7ySs5QYxfD1oE9K53vEhjZ3amLsLlcSCXVpbtMarDCdLHs3Hjzzz00CN88dmndAwcg48ypHpfXUe2/vIxbrcbWQM50Zr559H8iWjmb8HpctUQSwDOjHxsZjOTp4xDFEXkkSFI1NVrk7kLS1BE1h3BpYyJQDl3Cp7p1+EuKEb0eLGfOk9XiQ+jR9d99ODn54+fX+XD5tixo2xIrd/3qD5sZ1Op2PYrrpw8FJH1HEcIQlVh4T8DURRx5udhv5BKya9b8OnWC6m29rD4qj5uN8W/bKZ8/24iptyKKiis3vZ1ETT0ei4ufh2P3YIutjX6+La1Cq+yY3sJ7T32qub4I8Y23cjfvxFrUQ6W7FQ8Ljv6yFZogqKqvc9SuZKwvhPI+30N3s1lBPe+AaWhprCQyhV43bUHINSFtTiLsqzTSGQK/GI64nU5kMiuPsLK63GC2HDwguj1UJJ7msKMQ5TlpRAdP5TQiMb7ChXlHSckJOmqrEsul42CwuNIJXKysw8QHtELQZBgNueRnf0rHnchH3+8mAW3z8PltjUqQq5qXeVHePzJBxkzZizffruKjxYt4syJH1CrdbhcTtxuJwIyesTcjE4Z0OB4SrkOuVSN3V2BXHr5qFIvCeX4seMAuD1uJEJtaQdkeL1evH/i32gz/zs0H8k187cweuhI3PtOVSskaz+fRe5zi9EO7kH4e48S9OiteK222iuVN8LCL9VpULaIRNkiAk9pGXv37aFrn25EJ7Sk39D+vPLqi+Tl5dbad/jwUZiPnawziq4+Cr9aQcGHS5Aq1agTErCfPkPW8y/jLiuv1k70enHm5OIxmfA6mpYrqDZEr5eC5UsxHz6Evn1nbGlpXHj9BUzHj9ba3ut0UH5gL3mL3sJ0YA8xc+5DE3l1x1GuijKyvvkUpX8wErmSoj1bSfvyLdxWc7V2HrsNZ0nhNVuXLiFTa5HrjKR+/y6WvIu4rWYu/Pw5Wb9+W+Nzow2JQUDk5knjSFv7Nrm712AtzKwmWBV6P6zFjTvOFEWRzAPrObv5E9zmCmyFWZz4/lVs5QXVsno3FYe5BLu5gIuHV1JRdLHWz7/LaeXoljdIP7YelcIHnU84Oem7sFkaf5TncloanRrgSipM2ezd9wZFhadRynW43Vb2732LE8c/4fTpL5gwfiB79hzkuuvGMWDAIC7mbK39b7gW8ouOY3eWcv31E9Dp9MyefRt79x1k/4FD/LJ9E79s387Xy1ah0xgaJZbqw+k14+dXmWZg0KDBpJsOUmzLxOm57GyeYz5Nty69mlMMNFMrzRamZv4WJk6czHsfv0fpx2vRTRqIzN+Hwo/X4HvDcAzDKvMeqRKiEUUR+/FzqDskVPWVBRgbFQ0niiLmX/ZS/tOvCHIFikF9sISHIshkFJjMfLb7F957/20GDhnG6y+9Xq2YqlQqRSKTYTlwqEmpBRyZ2VgPHSX8wftQhFaOZxw5nKyXXiX3uZfQR0QgVasR3S7sRcUE+PlhDAjEkZ2JusW1iQjzkUO4CgqJvedRJIpKq5zpxFHyVq/Asn0zqrAIRKUKwePBU1RARXYmHTt35dannuP+B+9F9DZs1aiLgi0/oI9tTcigSn8VURTJ/nkFhTt/JnTE5Yzq9oJslH5BSGTya9rrJbxuFy5zGbEjZqOPrCyFE9J9FGdXv0XFxZP4xF52ppdIZbhdLh595AlmTL+Jz7/4lBUrv8ZiNmEIikAqVyI4LeSd/BW/Fg0XwzXnp1GSdpgOYx5Crq5MhWAuSufUlg+R1lNbrT5E0Ut55mE+fP8jUs6e4bPPPsVut+MTEIVUoQdEXLZSivIu4OPfgjbdZlVZiNJTNnPu1Fo6dLutUXN5vZ4mW5dEUeT06e9oET2MiNBKa1Z87AiOnvyM4cP78+KLr6JWX977u+99wMABfTl7cQMJMaPqnS+/+CRnLqxjzfc/oFarEUWRXbt28tGiRezevROL1YxMKsXX15+S8mJMxkL0qoad2x0uMy6PDZXscroKt9dJjuUEgwbPZ9Wq5ez49VdMFgtltlxsbhPBmpYYFMFk2Paz8uk1TbpHzfxzaBZMzfwtqNVqNqzdyNPPP8X3D7+P025HolKgH9i1qo0gkeA3fRRFH6/Cb9YENJ0TEaRSFNFhlH69HldhCTIfPZaDJ7AdS0F0e5CHBqIf0A2pvy+lX/+A7fg5AmbPQBkfW/MorkMbtBNGcWDjdgYPH8D6738iLq4l6ekXGT56CPJWLTH9tgtd7x4N1nS7RMW2HagTWlaJJQCZ0YiuaxdauTw89eRzlJeXo1AoCAoKpk2btjz73FOsOnzw2gXTieP49uhTJZYAdG07ov91Ey88/hROpwuTyYRCISc+PoEOHTrh7195LLX/wH5+OrIX5dCmlRCByoe8KeU4CfOfrLrHgiAQ0H0wF5a9Q0CvocgNlb/kvQ470joyZ18Nlpw05DrfKrEEIFOqCWjTi7Lzx6oJJrfDivY/BYqjo2N45unneebp58nLy+X06VPY7XYkEgnzb78NW2kuamP9iTtL048T2KJ7lVgC0AVEo/WPpDwvBf+oTk3eT3neObQaJWPHjmOcZAIPPvAvLlw4T3LyUQoLC5BIJISFRfDIow8TEjekmgAJj+vP3nPP4HY7kMmU9cxSiVyhxuVqXOj+JWy2YpwOE+Ehl6PSJBIZ4SG9OXnyVDWxBHDu3DnKy0sRRBv7K9KJCO1BiH97pNJKi40oeikpTyMrbx9lpgy0Gn/ef+9dbDYbDz5wHxVlJoI1HUgKvRGFVINX9GBxliB3H2bvhc8J0rekTegoJIKUvIpTFJsv4BW96JQBRBg7oZIbyCw9jI8qFJmkck6To5CT+Rvxer3MmzcHqSCno98o/MIjEQQBu9vMqZJfyHIc4uvlq/62OnLN/N+jWTA187fh5+fPe299wFuvvcPOnTuY/+g9NfyatN3bI8hklCz7idIlq9H4+uA2WYhvmUDush+xXchEGuiHtntHBKUSR+pFch5/C0VMOJ4KCyEPL0SqqzsSS6rXYZg8FpPxN8bfMI6NP25h4pTxSHp2w2/IQPIXLaZ42bf4z5zaOMdsgdp9krxelAolPXvWdFCdPetWlny2GN2QYcj0DZdRqWfqWo8+RK+Xtm3b0b59pzr7zr1tPiuGD8TYfwQShRK3uYKyw3sxp57CY7OC6EWiVKOJjMW3ax+UAdVL0AiCAH+MQBNFZBIJGV++jj46AVl4C7weN6LHddV7rIkAte1ZFGsI5IoLJ2rc/7NnU/j0syUcO3Ecs8mERqMhMiqanANriR0yt4E6cELtUXeil0adGdey5pK0Xdw5dz6S/3zWJBIJcXEtiYtrWa3tE08+VnPu/9yHxs7s49eCgqwjREbU7zRdHQER8T/3t9rkVWu+RE5ONjfOmEJC6BgCfRMoKEshs+Ag5y7+jEppRCJIsDtNyCRyIgK70i5yLBKJjAN7l/LLL9NIDB5J64jEGu+jQqbBqImgVdBQUvK3sjvtUzxeJzpFAKH61kgEGSW2TH5P/YQIYyfyzCfw9fHh14sfgFfAI7qJ1Hcgzrcnv2V9SpL/GIyqy1F2KpmOToHXcbjsO0pLS5twb5r5p9Hsw9TM345MJqN160SsuYV4LDVDlDWdE9F2a8fIYSNZ+/VqTh0/x/tvfYj11Dl8p4wh5NE70A/pg65vV/xn3UDovx/EXVSGpkObesXSleiH9scRFcr9D96NSSpBN3QQgkRC0JybceXmUfTVCkRXw3lhDEMGYE89jyMzs+o1V2ER5kOHmT//zlr7REfHMH3ajVT88H2jfT1qQxkZSenObXjsl++hKfkgerWajh071du3ZcsEenTvSeGPq8he/RXnP3gRZ1EBgb2GE3n9LUROmEPIwOsRRAnpn79LxtJFWNJSgMoQf1V4NAW/b6xavyh6KTu4nalTZ3Ds6GkenHUz3fQShHNHsRflXtM+r0Qb1gKXpZzyi5ePaN02M8Und+Mbf7m8iOj1YkrZz4L5CwD49ddfGDVmBEOHDWTz/hTKNQkQ0RuToQ1mRSimomzOb/8Cr7tucecX25HCtAM4rGVVr1Xkn8dSkoW0iVnCATKTN+C2FnHTTTc32HbSxBvIT9+J9z/HqKIoknluO8aABKSNsC4BBIV2wmzOwWIpaPQa1Wo/VCpfsnL3V73m8TjJK9zHlClTqrVdvPgjjNp4go2JSAQpIcY2dGt5M71azycxYgQJYUPoEj+DPm3uJCaoJ3KZGqlETpvICXi9HgJ0LeqvZSjTEOPfC5fbSrugkfSInEGUb2cifDrQIWQMfWLmkFdxiv4D+rNt+068uGnrP4xBkfNp5defMkcuCom6mli6hESQEChrxaoVKxp9b5r55yGIf9Y3WTP/JyksNP3X5u4zqBf5kb743Tim2uvuojKyH3uHPt17892q75FIJNz/0D38mJuKYWrtIeyunHzyXvyQiJefRKJsnMOmMyuHgjc+wnjDBHTdLmdK9trsFHy+FFdBAfo+vdD17oZU/4dK6VYr5r0HMW//DYNURklpKZpWrUAuw3byFEOHDGfZ0pV1zm0ymWjbsRWafgMwDhzSqPVeidtUQe7779A2viVnzp1Fm9AG0VSOMy+bLRs3kpDQDre7/kif9evXMnf+rfh1H4RfUh9k2torp3udDspPH6Hgt5/w7zsMRUAgReuW4ecXgE0UkIdE4si+QFiAPz98/yM+Pr6X+3q9xMZFEDXpLpS+jUuuWB+i6OXU4qcRvR50IbHINHrKL5zAr1VXwvpcLsBaeu4IYupuDuw9zMcff8jLr75EUPsR+MUkIZXXFBgup42zWz7G63ESnjQK38g2CJKamdgv7vmOkvOH8A1PRCaIVOSnMve2eSz57FOiu03DN7RVjT617SHj6AaK04+gVCqZMmkiL730ar19LBYLU6ZM5Oy586j0kVgq8nDaK/DxjalK+KhSG9H5RGD0b4lSVbvlMvX0D+B20yqhcbmbAMzmPI4mf45aaUSjCaCsPBWVWom/nz8qlZr4+HhumjmTWbNm0i5iKgZNSMOD/oHDqSvwV8cQ419/1N/x7B9QSfUkBNReu6/cnsupsvXcd/8DfPbuCtr4jKy6lm85R0bFEboFT6q1b57lHMrYMtb/9HOT13+1BAbW/jfXzP+fNB/JNfNf4fz5c6RfSMOTI8ddZsIwuDsSgw7biVQqfvoN/bA+JB9PZenSL7jpplv49ttV+D1Ru8UGQB4WjCI6HOvR4+h61MwCXBeiKKLtVL0gr0StInjBbTjOp1Hx+x6yn34JZXwLpHodCAJesxn7uTRULeOQuj18+dUqtFot77zzJi6Xk3nPvkzv3nUXFwZYtvwrZDoD5bt24rU78Bs2otGlUhy5OeQv/QJcThYuuIuoqCh27fodPz8/xo0bT1RUCKWl9dd527NnFwvvvoOICXPQxdb/kJcolBg79kQT0YL0lR8ieJws+2olffv2Z8uWTZw/n0piYiIDBw5B+oc9SCQSRo8ey66UQwT1GFnHDI3HnHkOqVJNy0l3U5F2Ao/Thi48HolMTtn55MrEmIJAwe61LFu6gq+++pxX33iduKF3oDLULdjkCjVtRt1F/umdpO/+hiypFP+WPZBrjQgSKW6HFUfeGezl+UyeNJnIyEiCg0MYM+Z6/P392bN3L4d3foFvaCLBCb0xBMXVsJZ43E6K04+Qd3Y3gggdB94NgoRvVy8iJiaG+fPvqHN9Wq2WjRs3s3jxBzz77As4HHb8A1pjMESgVBoq6wHaiinMTebcqbX4B7QiuuUwtLrqR6kRMf04vPs9fH1jCQ6quxD1leh0IbRtO5Xk5C8wWbIJ8I0l2DcJhUyH1+Xm5OEcbtl8My6XC7uz/KoEU2RgV85mbalXMHm8LvIqztA/Zl6dbXxUoaikBvbu3YPcW12M6BQBlDsKcHudVf5NV1LhyWVYUrP/UjN10yyYmvmvsPizxej6dkEzdiCmbXso/uIHvHYHiqhQ/G+9AXX7BKyxEbz/yQeMGzcBp92OrJbElVciDwmsVu6kIZzZeShiomrNDyUIAqr4OFTxcbgrKrCnpOK1WUEUkag1+N8wAZmfH6avV3H2bAozZ85i8eIvGjVvbm4OL778b4Jm3Y5EpSLvu+Vkvf82/mPGoo5rWeexhMdipnzX75Tv+g2/IaOQ+wdy/0P3cvTQCTp2rIzykskaPmUvKyvlppunEzB8SoNi6UqU/kFET72d7FUfYjAYkMlkjBo1psF+8+fO5+dJ4/Dr2B+ZStPo+f6IKIoUHPyFgLa9ERDwOGwUndwNoojSEIAgSHCaS3GYihk2ZBgg8uTTjxM3ZEG9YukSgkRKSNuB+MV25tzGt2kbLEcideB0OvEPNdJ/5n2MGzexhqPz/v37OJNylqQhD1KUfYy0vd8gSGX4hrREqtQgejy47CZKsk6g8w0nMmEwfqFtkfzHgtWiy0xefPF5brxxJjpd7RYHs9nMI488yIYNPxMdM4KgkI5IpbVHHjqdZrKz9nFk74dExQ4kssXAqs+USm2kbedbOHHoc7weN6GhDdegKy1N49jxpRj1kbSNmYRSUX2NAT7xRAf3paD0DCfT12N3VRAV2Pj8UABGXRQWR1GtvmiXcHnsSAQpKnn9Vhm1zIhMJsUlqW4918qN+CpDSC3fSyvfftXmqXAWkms7w+w5nzZp3c38s2gWTM38rZSXl7F+/Tq+Wf0NujunITXo8J0wDN8Jw2q0VXdqTd6S1ZSUFCORSPBWmJH61P1l6SmrQBEe0ei1iA4HElXDWZ5lBkO1I7tqYygVmExNO9b84svP0CW2QxlSmTAyYs4dlB/YQ+F33yLIpGhatkIZEVFZqsXjxVmYjyMjA+u5FLQtE4m8/T4U/pUCwBEQxNq1q7nxxob9YC6xYsUyVGEx6Fs2vZ6dMiAEn879+WDRB3y6+PNG9UlIaE2f3n05uusHQodMa/Kclyg9tQ97fgZSp5X8Q1vQBbcgutcN6MPiq0WPWYtzOJ66lynTbkAfGIOmgei3P6LQGAhsOxirrYzvV69qsP3Hn3xEQER3VFo/IhIGEt6yP2UFZzGXZeO2WxEkMrTaICL634nGEFyjv9YQgk9ADN9+u4rZs2umCDCZKhg/fizFxR46dVmIXF6/6FQodMS2GEJQcHtOHl+B3VZCy7YTqu6RRhuAVufDhYs/U1Z2Av+AzgT4J1YJOKgUp6VlaRQWHiQ39yRBxla0i51cp5gRBAnBfm3QqQM5cOYzlDIdwcbGF7KW/sfi4xFdyITaj9RlEgUerwuXx45cWvffrdNroV+/gWzZvJkYTTkauU/VtXaBI9if+y3ljnyi9B2RCwqyrCcosqczYMBACgoKiI2t35eqmX8uzU7fzfwtuFwuHnvyEdp1bM0LSz/C6rAh0dbvKCtIJMg1alwuN8NHj8G682CdbT1lFdhPp6Lp1LbRaxIUCkRn07I81xjD6UTbxBp0S5cvRZV0+Re4IJHg26MPMfc+SuDoCUiUaszJxyj75RfKd/6Gu7AYbVwrYu55lNBpt1SJJQBFp258+lXjhAtU+hR9vORj1O17NGnNV+LTvjubNv1EYWFhnW1EUeTgwf3MnT+HlgnR7Ny5g+KzRyk8/OtVzWnJuUDR3g288tKrOCpKiewxgfihczCEJ9TI9aPxDyOsx0TiRy7AVJxN4fm6Pzd14R/blYMH9nHhQv116woLC9m06ScCo694PwUJxuDWRLYaQmz7scS0HUV4y4G1iqVL+IZ3Y9FHi2o4x4uiyKxZN1NaJiEhcWqDYulKtNogkrrMw1SWSXrqNqCyPMqJQ4sYe90oTp48y0MP34ndfoRDh97k3LlVnD+/lnOp33A0+X3y8jbRtm0YgcaYesVStTnVgbRrMZGU7M0N1vG7Eo/XCQhIhZpWM4/XTU7ZcZKzvkcuVZFdfrzOcazOMkos2dxwwxTm3DqPw8XfklFxtCo5pUyiINTQEqe0HJvvBY6XbcTiLiFa1YEL+4u4ado0Ro8cRmlpSaPX3sw/h2YLUzN/OV6vl9lzb2HfxRT8n1uIPNAPy/Mf4szIRR5a91GJp8KMw2QmJCSE+xbex/WTrkPRJg5li6jq4zucFC1ZhbZHl0o/o0YiDwrAmZmF6PVeVW03URQpO3OWxx7/F6t/+J475i5g2LARNfx4riQ/P5+ykhJiwqNqXBMkErTxrdDGN/6YTB0bR8ralY2ufbVz5w7MDifh0S0bbFsXMp0Bn/h2LF++lHvuub/G9fz8PG68eQbn09IwtOpOyxmPINf6YC8t4Py6D3FbzQT3GtlACH8loihSdvYIRb+v45033+Oxx/9FaPdx+Mc37KemDYgkfvhtnNv4MbqASNQ+dQuWPyJVqPCL6cjq1d/y4IP/qrPdxo0/4R/SCkUdTtaNxS8kkeQT33P2bAqtWrWuev3rr7/kxIkztO90+1WVNJHL1bTreBMH9r6L1ZSOw17EG2+8xbhxEwG46aZbuPHGmzl69DBnz6ZgNpvQaLRERkbRs2dvunXtRJj/gCZZXPwN8UglCooqUgn0SWi4A1BqzkCrDKg2j9vjIK1oF1llyWjlfkTo2xOgiuF8yW78NFEYVNXfT7fXQUrZJsaPm8B999zNps0b0MgNXCw/xJniX1EptLhFB9269eTLV7dzw8RxxGo6E63qWDVvvNiDlPM7mXXzTNat/6nRe27mn0GzYGrmL2fdujXsOXEE3yfmV0Wwaft3w/TLHjTd29f5ZWzZcYChw0fg4+NLp06duXvBPbz2yitoenZC2zMJQaXEce4ipi07EeRygu+4tUnrEnQaRKcL28nTaNo33jJ1CfvZVASZjNAHHyb19CnuevwhZA/dy7tvvsuwYbU7OJ8+fRJDeESjHbxrw2MxU3F4PxXJh3BXVCB6PLRp34p+fftzx+0LGDFicLX2KSln+HLpF5w9n8qFC2k4PF6K9/+Kb/vuyDRXl1RSFhbL4eSjNV7Pyspk5OhhSMMTiZv+aLV9qoxBtJx0D5nbVpK68i2Ce47AENu21mg0URSx5WdQdvRXZJYSVq34lqysTASVAf/4rjXa14U2IBL/+G4UpOwhuvv4Ju1RqvEnKzu73jaFhQVIFT71tmkIS3kOBRmH8HoF7r33buLi4hg0aBBDh47gmWefomXCtDr9lRqDWu1HTIsheFxn2fX7UXx9jdWuC4JAUlIXkpKqi9Dff/8Ni9mOf1j9hY7/iCAIRAZ1I7PwUKMFU2bhQSKNnar+b3eZOJyxCrXMQLfQyRiUQVXXZBIF+7OWE6pvQ6g+EalETrE1nWzzUbp068yP638gWJ5I74CbUEorrb8Oj4VMyzFyXad5+plnOXLkENhlxGg6VVuHRJDQSt2XXcnLOX48mfbtO9JMM5doFkzN/OV8sHgRihG9q4X7a3t2pOLn3yj/fis+E4bWEE22E+coX7+dg37+DB0zhFumzeSrFV/hM2E03goTpSt/rMz0HRKEz+hhlHy3Hq/TibQWB+66sO3YS5eOSaTu2Q9XIZhMO3dj6NkLua8vPr16I/bshfXMaW69/VZee+l1pk6ZXqOP1WpFomzYb6o2PHY7RRvWYjpxFG18IsGDr0fuH4ggleKxWdh39hS/3DiV0KAgXn3xVVwuN6+8/gqnTp3A0LYrsqAwJB1C8XPYMaedoXD3ZgwJHQjoNQylX9NC/iUqNWWl1Y/krFYrEyePRxbVnsBuI2rtp9AbaTFuPqVnDpK/dxPZv65BExyFJjQGqbKyhIynrBBHQQa4bNw6+zYW3nkPWq2WwcMGoovr3uT7FpjYizPr3yUiaVStKQUAnNYKyjJP4LJX1sKTq3SIHjc2e808YVBpKczLyyEt7Twul7NeZ+W6KMpOJid1JzZzEcFhnYmIHYzZIeVgcinbd7zEfffdjUrtj49vdNM2XAth4d05sHcHxcVFNQRTXZw9m4KPLvKqLFu++ijS8/c0qq3VUUqpOZ0OoZUFml0eO4cyVhKgiqZVLdatCEM7/NQRZJQf5XTBVryiB7XcgEd0c/jwQWJVPQnXtqnWRynVEm/ohcZqZMa0KfTs1RtfsaaVF0AiSAlUxvDrr9ubBVMz1WgWTM38pdjtdo4dPEDkvOrV6iVKBcEPzqHgjc+xHUtBP7gH8rAgPBVmrDsOYj15Dm3/7kh6dia7sJgn33wJl81O6MA+CBIJxvGjq43nvJhJ4UdfEnTXbUgUDf8atxw8iufwcV77fgMTJo/DvO8Auh6Nj+yxHD6K/XwaQRMu100TBAFtYhtks2/joUcewOhrJC8vlyVffkZOdhYetwulWoPV4URbUoTCr/HFRN1mE9lffIQyIIQWdzyKXF/dqiHX+6AKCsPYexCmU8lMnVGZVDBg4Fhi5o9HIq/uSGvs0AOXqZySQzu5uOxdIifMRhPReEuC6HaRnn6RhXffQXBQEOOuH09y8lHMHilhXYfX21cQJPgldsfYuhu2omzKzh6m5PAvDBo0FI1aTdv+w+nUKYlevfogl1e+l3l5uaScPkm76VMbvcZLqHyCUPkGU5F7FmNU+2rXTAUXyD+9k/Ls0/iGtEKhqRQTpuIcSnNPc7g8hr1799CzZy88Hg9bt25m0UeLOHhwL1q9H263B6u5nIriNEJjexMY1RlZA3XlRNHLhWPrKc09RUzLYQQGt0dSw4I0gOT9iwkKarpjfm3IZEoCg9ry888bWLjwnkb1sVqtCFf5iJBIFHgakeHd7XGSnPYt0X7dqhy5z+RtxiAPrFUsXUIj96V1wMBqr5U78tmXvQKjIazO+cI0rcmvOE1ebi4Cf059w2b+OTQLpmb+UhwOO4JUglCLiJEFGAl9/m6sB09i/v0QroxcdEoVbpeLkOcfQB5QWQFeGRuJZe9RtAnxdfoa+U2bQOHipRS8/TEBc2YgC6i9erzodmPZsQf75h18u2I1bdq05buVqxk7fjQIEnTdG/aNsRxJpnjVakLn3Ia0FodvRXg40hZx3Dz7RnzjElAmdcM4dHRlPh9TBe5D+8j88E3UsXEET5iGVFO/07jX6SBn6RI0UXEED59QryVDkEgxtOuMIiCIjK8XIdMZaoilS8j1PgQPvA51aCSZaz4jetodqILqfthcibOsGKsLdmZX4DmbyZLPPkUUvYT0n9RoS4sgCGgCI9AERuApyuCGCROrfGv+SFFREWq9b6P8nmpDofXFbb+cm0oURfJObifv5K+EJgwgruN45KrqEZguu5nCiweYPmMqs2fNZtsvW8krKMEvojtJwx9HJlf9Zywvpfkp5J3fQ8aZzbTqPhPfwLrrBF488ROmojSSet6JQln3kajNWoTBJ/Kq9lsbak0YBw4caHR7g8GAV3Rc1Vxutw2ZtP4M5E63laNpK/B47cQFVOYtc7jN5Fek0D/qtiZb7HyUwYTp2pBhPk5r3351tguQxFNRkUOFxEY0NXNReUUPhY6L9O8/oEnzN/O/T3OUXDN/KXq9AbVWhys7v9brgkyGtmdHgh6Yjc7fD61Gg37a2CqxBOC1O7CfOouuZ92+K4JUSuDcmSjjY8l54U0KPvgM6/HTuEtK8VSYcGbnUrp2A/mPvURQSjo/r99M166Vxzvt23dk3Zofcf+8hfIvl2E7m1prtJL9fBqFX3xN8TdrCJ19K6romBrrEEWRorVrcObmErHgPvxvuhVd2w4o/AORG/1QR8UQPGEqsQ8/hVSnJ3Pxe7jN9aclKNvzO1KVhuDh4xv9EFGFRBA2/kZyN36D6PHU29bQqiOBfUeSvWF5o0qYiF4v5ScOEtJ7NIGdBxLSbxyhI27CLYIhpulHmwDahO4s+uSjOq9LJJJaa8g1GlHkymJoeSd/pTBlL+2H3EVE4uAaYgkqj+XCWg8iof8CFn/2GbmFFhL73U1Ii95VYgn+YzELSaRNnzm07DKVM/u+oqzgXK3LKM1PoSgrmfZd5tQrlkSvB4e9DI3m2rOjX0KjCeD8+fONbt+jRy8KS1PxeJoeSVpQegoED7klJ6oykV/CYi8iNXcL+84uYvT1Q4lpEcnZos14RQ/ZpckEauNQypoWeXqJaJ8ksi2n8HjrLmuklGo5n3qeIlMOF63J1T7zoujlrG037dq3r8pt1kwzl2i2MDXzlyKRSJgx/SZWbz+AYubYOts5z2ciMVnJLysjpFVstWtekwWJSoVUW39ItSCVYpwwBp8RgzHvPUTZuo14SssQ3W4kajUyhYJ7F9zFAw/UjHrq2DGJvbsOsGzZUj7+7GNKEZHHROOUShAdThwZWXhtNgw9exFw3XhkdSQYLP9tB7bUVCLn3lWv5UiiVBE0bjJFG9aR8/USIufdU6v1TPR6KT+wm7DrZzTZl0Qbl4hUq8eUegJDq/p9MYxJvSja9wu27ItoImLrbWu+cAaJTI42PK7qNUdJPrrwlrU6cDcGXURLzqypOyopMDAIm7kcj8tRpx9SfTjMJcjVle+ZpTiLvBO/0G7I3ah0DR+LqnT+tBl4B8e3vou5NBu9X91WH7/QNiR0m07K/q9JGvZQDVGUm7aLyJj+KJT1J18U+U9h3avwH6oLQSLF7W64PuIlWrVqTWJiG/JKThIe2Hjx4PW6Kaw4zl333MWPP/7ErpTNGLQBSCQynC4rNnsFU6fO4Nbb3iUhoRVlZaXMmD6V5LSVlJuK6RjUcDLUutArA9HK/SiwnydUU3u0qd1jxl8ZQaAimhTzbrJspwhRxiPipUi8SEyLaL74atlVr6GZ/12aBVMzfzm3z13AiiF9sCbGoula0yfDU2bC/Nn3PHzPA7z62kuVCSqvKKIrut0IjQiZv4REo8YwuC+GwdXLk5g/X0loaN1HTn5+/tx1173cccdd7NixnaNHD/Pqay9hHDUGXZsOaBJa1Rvd5nW5KN2+jYjZCxo8ZoPKI6mAUdeT8f7rWM6eRte6pnXGcvY0EoUSdVTTIpUujW/s2oeSI7sbFEyCRIqxYy9KjuyqVzCJXi/F+7fj1753NWuXx2VHorg6Z3aoDOO3Wesu5xIYGEinpK7kpx0hsFXPJo1tLc7GaSrBEFqZSqHgzC6C43qj1jfeh0yl8yckvje5abvQ+9WffNMvJBHfoJYUXNxPRKvLEYt2SwkVhedp07ZhPyxBkCKRKnA5zShV1xaFdwmX04zRr+ZRtSiK5ObmYDKZ0Ol0hIWFV723Gq2aUyd/JdivTYNHbJfIKjxATEwsDzzwLx544F+cP3+OnJwcnE4HBoMPbdq0q5a7zNfXyNp1P7J69Tfcc8+d6BVB9YzeMHplEDZ33Rn/s8wnaaHpRIgqjjBVPEfMP+P2L2bEyFGMHPkcvXv3bU5c2UytNB/JNfOXExUVzfKvVmH9aj2mz9bgSM3AY7FhO5ZC8eJvKHzyXWaMncT8uQuYMGEStt/2V+sv0ajxWq3XXvHeasNgaPjhI5VKGTx4KJMmTUGp1eLbfwDaxDYNpgKwHEtGERSCMrRmNfS6ECQSfHr0oXz/rtrHTDmFoW3nq/4CN7TrjDU9Fa+r4WMVn3ZdMKWeqPO6KIrk/7IO0enCv231xJcSmRKv++qTgHpdDlSq+p2lF8xfgPn8/iZ/DgpO7kRl8EcQKmvClaQnExzXNNEFENSiJ8XZx3E56q/TBxAS15u8i3urJW8szjmOf1DbBp3CoVLs6vShmEw5TV5nXZhNOXTtctlHz2Kx8MUXn9KrZ1d6dE9izOhR9OzRhW7dkliy5GOOHj3MwQMHMKhDSE5didvTsD9TXskJsot3s+ijT6pei4trSb9+AxgyZDjduvWoNdGrQqFgwoQbABGp5NqcsWWCHLdYu8N5lvkETo+VIGUMAFKJnA664eTm5nDHHXfRp0+/ZrHUTJ00W5ia+Vvo1asPu3/bxxdffsan7y/GZLUgSCUog4OQyGX8vHkD/fv246477mHtiIGYjT5oB/dCkMsRtGoElQrHuTRUCXENzuXKzcdy4AiOi5m4CgrB40VQKvGWl5OWlorZbKqzZteV6HR6nDZbo0PGKw4cwKdr0x/Ehk5dKNq0HrepApm+egJEr82KLKT28OfGIJErkCiVeOzWOp2/LyHXGRBdTrxuN5I/WPREj5vczauxZV8kbtIdNcZSGgMpOvrbVYXXA1jyM4iKrv8ocOTI0Tz59OMUndpJYNvaq9X/kYqcc1hzTxMZGcXZn19HbghH5xeJUuPb5DUqNT7oA2IozU8hKKr+GmwG/1gEQcBcmoXer/L9cznMKNWNC+kH8DHGUlyUQkBg40uM1IUoiuTnH+f4cTdOp5OCgnwmTLgeh1VKsE9X+naYjkSQIopeispTee+tTzHbXiDQ0IpW4aM4dvF7Dpz+lBZhAwn0bVWtjApU+iVl5u8ju+gIzz33Aq1bN33NSqUSqUSKx+tEUk/pk4Zwee1YXSXY3BWoZZV/TzZ3BemmZHKsp+nqex0S4fL6FRIVwZpYfvrpB2677farnreZ/32aBVMzfxuhoWEM6D+QRZ98iN9NE9B064ggkyJ6vdiOnmLWvFng9uB2OpGs30rFj9vQR0fiLCpBL1dg/21vvYLJlVdAyaq1ODOy0CYloe/aDUVICMhkeM0WHFlZfPD9t7zx9uvMvW0+Dz3wCEpl3ccMRqMRo38A9osXUMc2fCTmKS9DEdT0Su0SpQqZ3oC7oryGYEIQrs3ZGf7j8NywMfnSNFcKHpepjNIjuyk7vg+Vfyhxk++qtYCuLjIevF7MWefQRzYuWeGVWFL2c/fC+h9WMpmMLz9fytjrR+P1igS3rz+KqSI7hazfV7D4408ZNmwkO3fu4PHHH6HQdfUFgBVqH9zOhi1MgiAgV+px2MrQUymYRNFb7UHdEKGR3Tm0+x3iWo5EJrt6AQFQUZ6Bx+0g9Wwus2ffzOlTJ1EJsbSMHljt/RYECYG+CQT4tORCzg6yCw8RF+KgY+wNZBcf5ULODlIyNhDk2xq5XIvX66bCkkOFNZtQvw5EB3bnwP4DzJu3oMlrFASBqMhYim3p+KrCEEURuVSFVJA3WoSLoohNKCKxc0v2HVqJTFDhdXlxeK2EKOPoaZyARlbTyiz1KCkvL2/ympv5Z9EsmJr52xBFkQcffRDNlNFoe13+hS5IJGg6t0OQyShZuobIt5/FU1SC+cetuM6c54N3F9G1aw86d2uHrqwcmW/NLzzTzn2Ufv8jPoMGETx7DhLFH6wpQaBqEQv9++EqKOSrtev44ccfWPn1N7RoUbsIk0gk3Db7NhZv/rlRgulqS6wAiB4PFb9uRuw3BFV4ZNXxn1SjxVVRdlVjAnjsNrwuF9IGjrsAXBUlCFIZxeu/BIkEj91KSeZFdJEtibnuVjT1WLoEQYJ/h94UHf+9XsEkiiLWvIvYinLwuhxIFEpkah3WgkwmTpxcZz+Xy8XzLzzLl19+htoYQv6JXym9eJTAxL4YYzogkcn/M74XU845Ks7vw5SbxueffsHgwZWFnfv3H8js2bfy3pKGC+rWTfVou/qbejh/eCUF57cilSkxVRTha2y8mFRr/PHzTyDt/GYSWl1/leutvCepZ38iOqwv4SFd2bvnI2QSFa0TBtYpRARBoEX4QCz2Yi4W7CEhfCgRAUmE+3ei3JpNcUUaLrcNqSAn1NiWTi2mIJMqKCg7Q3Z2ZpPXaLfbWbduDQ6Hg6P565FJlAiAy+tAJ/cnyieJMH0bZJL6raRljlyQufn2u7VYLGaee+5ptq7eQRvtJOSSun8cuaVWAgOvzXeqmf99mgVTM38bp06dJDsvh4DuN9V6XdW+FYJSgeNsGurElhhvnY7pp618uHgRP44ey003zWL156vwWTgbQX7Zz6Hil9+p2LydsIV3oghrOI+QPCgQ37m3Ytr+KyOvG87GHzfXKZpuuvEW3nzrNbQlJchrcZi9EqlWi7u8DGVI43IZXUL0eJC6XIzv1YsN678jr6QIfUgYEoUST3kpZquNgP7DrypiqvzYAXRxiVWCoj7MJw8ycOBgbpoxE4/HjY+PL8++8CyW6M71iqVLGNt2p/DIDopP7cO/TXUfJ6/bRemZAxSd2IXHbkMXGodUpsTjslGReQY/o5H169cyadKUqmSVl3A4HEyfMYXTaVm0HLYQlSEQr8dNSXoyBad3k7n3exRaI4Ig4LSUIXrdzL1tHvfduw6jsfp7FhQUjMtW2og7Vzt2cwl+Qa0bbCeKXkSPleXLv8XPzw+r1UpBQQF33XUnHo+r0aVO4tuM4+Dvb+Hv3wr/gMbXGLyS9AvbwSsSGdYTiSAlKrQ/Gdm7G2W1iQntzaGUr4gLHYhUIkMQBHy1EfhqI2ptL4piZQqIRuL1ennzjVdZtOh9tHI/gqRtaRc1DolQ+Wjyil6KbBfIMB3jbPFvRBg6kODfr05LXZ79BHNunYtMJsPHx5e77rqXb1atqHcNdo+ZAmsG11139aK0mX8GzYKpmb+N3Nxs1KFBCLLav+wEQUAeGoSn7HKEi3Zof5IffYm0tFReePZFUm+aQvLHSzHcOh2JWo39/AXKf9pC6D13oQhq/C9EQRAwDB5EhdfLTbNmsGPb7zUe1FCZvG/woCFsfe8dRKkE0eNFqtWibduusiyK8bJPirZdeyqOHEDbqk2NcerDknKK0LAwXn35DV575U0KCws5e/YMdrsNjUbLgoW3Yzmfgi6+aX4hoihSdnA3IUPGNdjW63ZTcXw/T6zdQPv2l5P5HTx4gC83bMUnruGM0zKVlthxc0lbswjR6yGgXW8A3DYzF376FAEJYZ1H4ROZWC39gNfjpuzicZ5+6VWWr1zBsqXL0f/naFIURW5fMJeUjAJiB9xWlbhSIpUR0KILAS26YDcV47JVIIpeZAoN5qKLfPPNSm6ffwfGP7gMDR48FPNdC7BW5KMxNL4YL4DNVIi1PAdjSMOCqTTvDAH+fgwYMKiaMHnvvXcpzDtGSHjDCVIBFEo9rTtM5VTyCtq2n4Gff90JMf+IKIpkZewiO2sfXdvPrRIZQQHtOHthAxZ7EVpV/ZGCek0oKrmBUvNFAgwNz21xFtC6Rf2+aJdwOp3MnzuHfbsO0kE/Fr2iZs4piSAhSBNHkCYOi6uUkyW/cCh3NUkh42tYmwqtFyiyXeDmm2dVvRYSEoq/XwDHSraR5DuihtDyiC7OOHYybeqN+Pn5N2rdzfxzaY6S+/+Azz//nKFDh9K+fXvGjRvH1q1bm9Q/NzeXLl268N577/1FK/xzCAwMwpFfhOj11npdFEXcBcVIDZdz10iUCnQtojlz5gwymYzlX61kYOt2lLz0LhUbf6H4y1X4jRvbJLF0JfrBgyj0unn3vbdqXFu1ajlt2rdk37lz+I8ZR/itdxC54B6Cxk3GYzKR+cZr5K9YjtdZGR2m79IVS8op3Ka6Q5prw3F4P3fOu6PqwRoYGEifPv0YMmQ4vXr14c7b78S89xe8TcihA1Bx4jCi14M2tmHLROn+7SS0TKgmlgBuvnkWZanHcFvNjZpTHRhOi0l3kLt7PRe/f5eik3s4/8PHaIzhJIy5E9/odjVyNUmkMvzikogeuYC0IitTp0/G4aiMyNq3by87du4kqteMOrN8q/T+6INiMQTHoTGGEtSyF8qgVrz2+qs12mo0GqZPu5Hii/satZ8ryU/dTWBUF6SyhsPrS7MOcPv822tYcRYsWEBBzi48TYgo9AtsRUBIW04cW8rFC5saVXLE4TBxIvlrsjP30KXdrWhUly1tUokcjSoAu6NxPjtKhQGXu/aaelfiFT1kFR5Cq9WQnn6x3raiKHLXwgUc2n2cTj7jaxVLf0QrN9I1aDxyQcnRvB/wipcTshZbMzhduonPPv+K4OCQqjlunX0zHpMUl9fB3pI1ZNtScHis2D0WMq2n+L14FTGJ4fz7pVcanL+ZZpoF03+ZJUuW8NprrzFhwgTef/99oqOjufvuuxtdwkAURR577DHM5sY90P6bdOjQCX+jH7bDtYeuO1LS8FqsqFpX/yXrMVtRqSqdXhUKBZ98uISlH39BZEYBgkSKrlvja8D9EUEiQXv9WD746P2qhzTAh4ve419PPorP9Fvwn3M7+k5dUAQGIffzRx3bguCJ04j515OIDgfZH7xH6cafKVr0ATq9ntIf19QpCv+IKfkQnoI8Jk2aUmebWbNupXV4OMU/rWowa/clLGlnyd+4mvDrbmzwKK/0yC4cJw/w6Sef17gWHBzCsBGjKNq7odHh/PaCLAL8/fn3Y49hP7kThdpAZJ+JDfp3SaQywvtOJTW7kJGjhjD9xmnMWzAXFHqsJTlNSicQ2Kofa9Z8g6kW8Tp37jyKMw5jKk5v9HjmkgwKLh4ktEXvBtvmX9yH217I5Mk18zWNGzeRrl06knpqFd5GCB+AgtxkzOXnWL16DbHRMg7tf52LaZspL8+oJp5cLhslJamcOfkd+3a/jkpuoGenhWjVNa1IYhN8sTxeJ5JGhPrnFB8DUcLWdfvo26cHkyaM49Ch2r/HVqz4mh3bfqOtYWSDfklXIhGkdAgYgcfr5ELpfmyuclLLfudk2QYWf/oZgwYNqWq7b99e9u3ZR3vlYLoZxhCtak+m9SS/FS1jZ/EKcu3n8JEFodfpUfzR57GZZmpBEK85uU0zV4vdbqdfv35MnjyZhx9+GKgUQNOmTUOtVvPFF180OMayZcv45JNPyMvLY+HChdx1111NWkNhYf1lOf5stm7dxJz5c9DPmoSqQ2sEQUAURRwpaRR9shzjpDHoel4+rnBm51Lx9qecOn4Otbq64/KY8aO5EBWOvkfTK9j/kbIPFvHqv55g3LiJ/PLLFmbPv5XAWxegCKj/l6/o9ZK79FN8bFaWLFpCmzbtGDt+NLmCFN/xU2qE51+JKfkQFRt/YM236+jcue6yLwA5OdmMHT+agrIKZP6ByH390bdujyamZfUEkg475Uf2Ur5rK16vF7/ugzB06IFcZ6gxpj0/m/JDO5EUZrL6m7V1hoKXlZUydMRgHMYItLFtKU89hsdmQZDKUAeG45vYtSpyruzMIYp2/cD6dRuIjY2jbfsEYkctROXbeAugOf8i5zcvIbLzGBArs3QXpx1CqlARlNCHwPjujaopl77zc+67fTZz5sytce29997mlVdfJqHPHPQBMfWOYypO58zOJWj1gST2mVenhUkURfLTdpGf9ivrf/iZtm1rP8a02WzMnDmdU2cuYgxKwut24PW4kcnV+AclViWqdDkt5GTupjj/ICtXfEuvXr0wGrXs2LGbjz/+iB07dpCfn4NcrsLtduHxuNFqgggwJhAR0g2V0rfW+d0eBzsPvEqvtgtQK+tPc+B0W9l59HW6JczGR1u3b15ReSrHLqyha+RkfNXhuDx2siuOk16+l/c/+IixYy8fC4uiSO+e3TCYEwjWNP6I8UrKHLkcLPgeqUzC+PGTuOvue0lIqG5JvW3OLM5szyRW1anu/Xnt7LZ8y8FDxwkObtoR7Z9BYGDD6U2a+f+HZh+m/yLJyclUVFQwfPjl6u6CIDBs2DDefPNN7HZ7lWWlNjIzM3n99dd55513mDu35kPh/ydKS0v44MP3+Hrl1zgsFlxLViLX69BGhWPNzsNRWobvxNHVxJKnwoT5y++4Y8FdNcSSx+Mh+fBBgocP/uNUTcbrdOJQqXjrnTfY+us2fv11O/ohIxoUS1BpoQqeehPZr/2boKBgtFotP3z/IzfPmcmRd19BldQNQ9eeVekCRLcb86njlO36FUdBHlMmTqFDh051jm+323nqmSdYuXIZushYfLt0QCJX4KooI3f9KgRBwKdLb1TBYThST1F+4jC9evfm2Z+34PF4efvdt9m45GXUUfGowqKRyBV47DZMqSdxlhQgAB3ad6zXUdfX18gjDz3KfQ/eS/HpQ/gl9kAdGorocWHKTCVvz89ow1uglElxFeey5rt1tG/fka+++hxdYFSTxBKANigahdYXmVKLMao9AOGdRlKWfYq8E9spvniYhIFzkCnrTw+gDIhj/8ED1QTT0aOHeejhBzl7NgWdfwynfvsE/4gOhLTsi85Y3ZHZUppNcfo+SrKO8ebrb7Hh5w3s2PoyfuFJBMX0RK0LRBAE3E4rBRmHyEndidtpYeqUabRqVbefk0qlYuLESZx4/jkupvyMn18CUpkKkyOD8yk/odeHoVJrKStJo1//Qaz4ahtxcS2r+nfo0JF33vkAAJOpgszMTEaOHEKXtreh14U2eH/zCpNRKQwNiiWAnKIjxMS04FTWakKNXQnz64hCdvm+m22FZBYeILf0BJ3Cx+GrrkzaKpeqiDF2w0cZysI7bycwMIiePXsBsH//PgoLConzH9ng/HXhowhBrzLy7MvPMG3ajbW2OXXyJEZpy1qvubwOsu0pZDvP4fa66denB2OuG8u8+QtITGyaD2Iz/xyaBdN/kUuFMGNiYqq9Hh0djcfjISMjg4SE2sOQvV4vjzzyCKNGjaJ//8Yl8ftvUVxczPAxQzD5+6CaM5mI4EAcGdlY1vyMpqiCN19+m22//sKqVcsQs/Mg0A93TgGWg0eJb9mKgf0H1kiIePFiGlKlEpnP1ZeNcJeVUb59B+YDB1CEhJLbIp7sjEwqigqJ7dD42llSlRp9p858/sWnPPP08+h0elav+p47F85n7U/rKdmxFYlKjSCV4bFaUAaF4Nu1D4qgUDZtXc9Ns2bw9RfLkf3BGmW1Wpkw6XrSzVYiZt6Dwlj9aCWw3wjM50+Ts345AX5+TBo/kbkffUjnzu0pLbXgdnt56IGH+fXXXxCdTlzFlf5jUqWKgE798WnZEdHrIS/5d0aOHsqa79bRqVPNhIzLl3/No088Qmi/SfjEtq92tBbYoT9OUylZO1cjtZSyedsOIiIqI+o2bt6EOqLpxXgFQcAYl0R5TkqVYBIkEoyR7fANTyR97xrObFlE4og7kcrr/kEhVaiq5dbZuXMHM2dOJyRhKB2HT0QilWO3lJJ/YS9nfluCXKVDrjIAXiReBx6nmZkzb2H2rI+Jiopm2rQZPPTQfaxYuZLctH2IXjeCIMHr9eAX1JqWbcajUPmyZdt6ps+YwvJlq2oEEoiiyIMP3sf69T8RETkM//atqyWBdLksZGfvJyvzN95++91aj/WuHOvMmdN8+ukStBo95zO20DHxpnqPYJ0uC9n5u3B5LJSZM/HV1V0Xr8KSQ1bRblavXovdbmfRhx/w228foNME4nGJeDxObK5ywg3t6R09C43Ct8YYRk0EsT59eebpJ9m4qdI3c/EnHxGibIPkGurkCYJAuKo9S7/8qk7BJJPLqvk5XaLcXcjhik34SgNIUHRGJ/HB5Xayd+0R1qwewn33P8i99z1w1Wtr5n+XZsH0F2G1WtmyZUud1wMCAjCZKo/DdLrqBTovlQ6ozy/pyy+/JDMzk48+qrvCe2OQSAQkkr+2FMBzLz6NKSwAw8xJVaJH3Toe1SN3Uv7Bl5xJOcXbb7xFv969uOvehXgVCiShwRjGjKTQbmfyzCm0ik9g5dIVVblSrFYLilpKLDQWR2YW+YuXoElsS/iCu1EEVZrjS7ZtRt+xc808Tg2g7tiZNevW8MLz/wZg1aoV/PzLVqJvfxCJQonbXFGZPkCtrZacUjn9No6s+oxnnnuSl1+s7nh69313kmF1EjzullqL2gqCBH18W2JuvofcVYsYOmQo8fGVRxxSqQSz2cykKePx6ToEY4e6fG9kBHQbgkznw5TpN3Bw36Fq0UL79u3l0Sf+ReToeWgCai/5otAbiR01h7wd33DfA/fy/eq1AJSWlSLzaXoiT6iMuLMVZtfcs0RKdK9JpO1cRtqeb2jZ/+Y6x/C6nBj0emQyCVlZmdxyy41EdZqCX+jlo0eV1kh0u1FEJg6joigNl8NMSe4JZC4rB46frva3uXr1t6z5fi1Jve9GoTLgcTvwej3I5OpqoqdVp1mcTv6KJ596jNdfe6Paml599WV++mkT7drPRS6v+fmVy7XExAzCYIjkoYceoEOHDlVHe1KppOrfzMwMZsyYTkZ6BkF+SYQHDuF8xhZOnP2WNvETa01bYHeUcTptJTdMnkj37t25666FtAwfTqh/B6TSy593j9dFXvEJUjJ+4s6FC+nZszJ7/cCBA8nOzmbokAEYJDEEaGPwVYc3WMok3Kcd24+9R+dO7VCrNeTk5NDO5+qtS5fwV0dx6Mx3yGS1C6/BQwbz89e/EsBly6HdY+ZwxUYSlF0Jl18+DlQDBvwJE1ry/tvvEBYewowZM695jc38b9EsmP4iSkpKqvySaqN79+707l37Q+ySW1ldxyRpaWm8/fbbvPvuu+j113YG7uen/UtrJ1mtVtas/g7/J+6uMY8gkaAaOZBPv/yM8eOu4+7770E/fTKaTu2rtRNHDiV97U+MGT+Gw/v2odfrKSjIxlZeTslPGxDkchShoWjaJDZY7w3AVVBI3sef4D/qOgxd/5AvyGJB5uPb5H3KfHwpLi3FaNQiiiKvvPEqvsPGIdNXWsAUytotIRK5AuN1U/jykzd55aUX0Ol0CIJARkYGmzb+TMz8x2sVS1ei9A/Cp/dwXn/7dSZNqswlYzCoWbHiK9D51SOWLuOb2BVH+mnWrFnFgw8+iNPpRKFQ8M57b+HXYVCdYukSgiAhuO9E9i//N1lZabRv3x6tVkOxu3GOzX9E9LiRSGr/ehIECTE9J5O8+nnspiJUdRTRdZRl0nHMWHx9Nfz730vwDWtfTSxdiUQqwze40pobEJnEuV0fcODALiZOnFi5HlHk1ddeJTJ+NEq1L0CdNeEkUjmxiZNYvuwdXn3l3/j8xwpqtVp59923aN9+fq1i6Ur8/OIJCe3Jm2++xpo131W7VlZWyNChg/DRtKNb2wlVYs3PEMuJ1NXsPPgqoYFJBPlXFsx1uEyUlJ8gv+g09913Ly+88DzTps7AoA0ktyiZc1lbKjN3yzS4PDYKS8+gVQUQG9yXT5cs5qabptPtP4EVGRk2bFYHncL7NzovmFQiJ0zfDneFHaO3PRcd6cglV5+53OQsosiWjsNjwWwxsXnzj4wfP75a1v68vDx69urGp0s+IUzSCp2s8vgxw36KQFlkNbF0JRqJngRvd158/gUWLJjXpJxSzfzv0yyY/iIiIiJISUmpt82yZcuAyiKYPlccLVmtVoBaxZDH4+GRRx5h5MiR9OnTB/cVoeZerxe3213jaKc+Skosf6mFKTMzA0EqRR5Qe9JHRVQ4mdnZzFu4EPWooTXEEoAglaKbOJbCjz/nlllzOHU2hcysLBRt2oAo4rVYKNu4ieLVa9D36onPgP5I6vH9Kly5Cp++A2qIJQCkUmhkhNuViF4vUpmU0lILu3btpKisjLCWjcubJPf1QxkRTUhYOA5b5Xuv0urQJrRvVIZuAJ82nTn68b85ePAoXbt2orzcymtvvo06sXG17bxuJ16tL088/SyPPPIoXq8HqUyOCLS5+alGjSGRKfBN6MZrb7zNO2+9S4uYFpw7kgY0/njzEtaiLJT6uhOFShUq/GI7U3B2D1Fdxla9Lno9lGWfJu/0b5gK0njmmYM89/xzSKUKQhMG4fXWLcQuIQgChrCuvPLqmwwaNAKAvXv3kJdXQKfejXtPlWpf9L4xREREYrdXhuRrNDo0mjA02oZ94wBCQ7uxYcObnDmTRnBwMFKpBINBzbSpN2FQJxITNrBae5lMRafWN2K25pOVt5+T577DKzpo0SKembMmMnPmtwQFBbN583Y2bdpKt9i5yKRKzLYCikypuD0OFAp/ouNvRq+utLjKJEoW3H4XW7ZuA+Ds2QvoVMYmJ1HVKIyY3Pn4qSOQSeSItRyVNUSeNZX08sOYXSUEK2KQS1REqdpwz7yHmDf3dmbNms1NM2/muWeeYcvWTRjVgcgkSvZWrCNK2YZ4dVeyHCl0VQ+rdx4/aShplqOsXfsTgwZdu49kfRiNV28lb+bvp1kw/ReJja1M8Jaenk6HDpfz36Snp6NQKIiMrOlfkJubS3JyMsnJyaxdu7batQ8//JAPP/yQbdu2ERFReybeP+L1ini9f12gpE5nwO1w4DGZkep1Na67C4vR6PWknDlD4PSJ9S0Uh8fN+l9/wXjdGIJuuQnhCmEoiiKO9HTKt24j9733CZ43t1b/Jkd2Dq6CAnzn1F63TO7nh/Vs/UK3Nhy52QQGhXDs2HF+/PFHlC3bNKlMiqZtEm6Hk1ZT54EocvGLt9G17tTo/hKFEkNcImvXrkWhkFBYWMqF86m0GXVrg33NWalk/vgVSt8gQvpNxBDVGolMQdHJ3ZgunkSmavyXui62PZu3rOb06TP069ufVd+sIjhpRKOi2i7hdlgpTUum3fUP1tsuqFVvzmz6kIhOo5BIZdjK8zm3/TMkEjkhLXrRqttNyBQaPC47pbmnyDu/m7zzu2nd65YaDt5/JCCiA/vXV+7D5XLx00/r8fVPbNDadyX+IR1x2q107zUHgKOHlxAY1HjxqFDoCQhoyZYtm6v8dE6fPs3Ro4fp2eH+OvvpNMG0bjEWUfRy4OR7vPrqa/Ts+Z8kom4vH374ISGGjsiklRYZnToInbp2x/xw/yR2nXyXlStX4nDYOXXqJC5X062GIpd9EOUSNXaPBT2NE46iKHKmdAcFlvPEa7oQoo9DKlT/PJW7C/n+8w18tOhDAhSR9FbfgEKiQlSLlMhzSbZsI997HrfoQC+pP2O/IAgY8OPcuXP06zewyXtt5n+XZsH0XyQpKQmNRsOmTZuqBJMoimzZsoXu3bvXmhskKCiI7777rsbrN9xwA1OmTGHKlCkEXWUSx78Cvd7A4GEjOLB9N4brh9e4bv5pG8GBweRZTZj37EPbuVMNYSWKIiWr1iDanYQ/eD8SdU2riyAIqGJiUN46h5If1pP38WLC7l5Yw9Jk+n0X+q7dkdSS1RtA1zGJ4p9/wlVWity38ZXly3b+SnFBPmNvGIelrASZrx/KyFh0rds16te4VK1GhMs10bxepOqmFYl1SWS8/PK/ef/jj3DabSBIKNi3Fb8OvZBra6YVADBnniN9/RdEDZ6OT4vqYfCCIEGmrr1fbdiKcylM/o3yvFxGjBmBIEhwOh2Unj+Cf0Ljc2UVp+zDEBKPUlf/g01jDEWQSCrLoYheTm/6gIjWQwmN71vt+Fei1BIU042gmG4UXDzAqZ2f0KbfvDpFk8NaSm7qbgSJjOEjhiKTKTCbSlEofdD5xhAQ0rZR76lMrkZErPInEkUvCkXTjtBFFDz22L946KH7USiUBAQEYNBFN2glg8r3L8jYkdtvn4epohy73YpWa6DCVEbf1gsbnlsUyS09gegReOC++wjyicHtdlFiysMT7GrQd+lKTPZ8tP85FgvStCDXcoZAdUyj+p4r202xNYOevuNRSmr/m/CRBWKQDkDlNZBlP4Mor7QSC4KAvzyMJN0wTnl2IDpFRLwI1C98vYK3OTdTMzVoFkz/RdRqNXPmzOGDDz5ALpeTlJTE6tWrOXnyJF9++WVVu7y8PPLy8mjTpg2K/9fefYdHVawPHP9u3/TeSA+9BAi9SBEQVDqIIoIiKAh2r1e5P73Wa9cLCiLNhh1FpIMogvTeS6ippJFeNlvP749IYMkmi1xB0PfzPD64Z87MmTlnN/vunDkzej2JiTVvW0FVMFVb2p/pxWdfoO+tfShWqfC+sQsaby/MGWfIn/U5tsJiVG1ao/ONxnzsJEWLV+DdqT0BwwZW9yCZT6VgOnSUyH8+idrDA9OpU5Ru3oJitWKIicG3R/fq+Y5UKhWBgwaS+/EnFP+yjoBbnAeXVhxNJmLMvbXWVePphXdiK4o2byDkVtdrS9krTVQcOYS9ogKNjy9a/wAs2Weo/8QLqA0GHGYzJQd2c3btCkoO7CJi2Gi3a7nZK02o9efHYKj1Buy/3Z67mGK3U3bqKJbifNQ6Az4NmqH18sFeaSLkhv4Et+lRtWp7dir5ezdx/LO3iRs8Ds+IOOdjmitJWzafmN6j8Iuv+TSbRm/Abq5ZB0VRqMhJpSIvHZVKjVe9+lRkp3Bm81KCGneg+fCnMPhWjSsqPL2flA3f4BEUiWeQ+zX2yrJPk733Jxr3mVjnfpWl+ZRkHQOgKCuZ3KMbiWzcm3oNu9WZLzSuKnA7uuUT2tw8pUbgUZRzjGPbPic4IpGkrg/h7VdVZ7vNQu6ZPaQe/5HcM7tp0HwoRfknsFkq0Bt9CQxtWmOgtc1qqu7FgaqxPA77pc/wDWCxVBLk25KYel2wO6zkFRyhuHQrOw7MJSq8AzZ7JVqNgeCARuh1NXtwvTzCyUrdR1LCGLQaAxXmQrYXf4RBV3cgrCgKh9KWUFyRSbPwfoR4N6h+qq3C9Dlnig/jbQiixJyDChWBnjF4G1yPJbPYKsgpPUa3qKrPXZRPSzZkfITFXoFeU/ePgjJrAWml+7nBf0SNYKncXky+JRMFB96aQAJ1EdT3bEOFvZSTpt0087qhet8AbThGvAiMDCI3P51wXVytx7QpVnLN6XTu7H7sn/h7kYDpT/bQQw+h0WhYsGABH330EQ0aNGDmzJm0bXt+PqJvv/2WGTNm/K5bbdeS+vUbsnr5Tzz74rNs+NfraD08qDRV4N2uDf7DBqK+YLCmraiYs/O/5OwnXxA8bgwqtZrSXzfj07Uz9rJSMv87FXtJCR6NGqI2GinZsJGiNT/h17MnATdX9WCpVCr8e/cm58OP8O97k9NAcIepAo2bgfIBvW8ic+a7GCLq4Zt0fkJJxW4n/8cVFG/fjDEyFp2fP5b8vZjPZODZoAmq336Rqg0G/Nt1xrdlGzK/+YTsH74iYviYOgfXlx3ah1fs+TljvGIbUJK8H++LljUpOrCD3PXL0Xr6YAyNxGYqJ/unRfg2SqT01FFCO/SrPgeeEXF4RsRRlLyHlB8+JOH2hzAGnZ+cr+jITjxDo10GSwBe9eqTsX4htsqK6okpK3LSSF//LbaKUrwjG6E47GT9Ngt4fM+78I9xnsMmIL4lNquJ4ytmEtfzLnyjmrg8D4rioOj0ftI2fktc59vxCnb9uLvVVErKlgWUZJ/EP6IxviH1yT70CzZzBZ4+l3aLJzSuPdknN1OQeZDg6NbV20sL0kje9jlNk0YRGOp83jVaPRExHQmOaMmeDe+xfd0b+AfEozf6Ycraz/GDi4ipfyOR8d2q23c2az/+AecXdfb1iyE/P5ngkEub58dut1JcdJr6zXpg+K1nKrZeV7RqA8dTV5GS+St+PtFYreUkn15OWHAijeNudXriTcGBQedTvTSKTlvVO2t3WJyCuYudyFpLmSmHTrFj0Gmce2mDvONIzvsFrVpHoEcMDsXO8bxf8TGG0SL8lhrTC6QW7iDYIw6jtqoNRq03IR7xpJcdpL5f3ZPOppfsJ9LQEKPm/G3hSkc5B0vXU2TLJlgXjVqlIcW0HzVqmnnfQH3P1mwuWkgjpQNa1flzYdR40eumniz/dgWhSnStC/im247SqlWS09xXQoAETH86lUrF5MmTmTx5cq37PPzww25n8HY3wPzP1qBBQ77+7BsKCwt4/Y1X+H73NvxGDq/x5an19yN04jiyXp+K6fBRDLExmA4cwq97D85Mew+vVi0JHDwIzW+35RSHg4pDh8n7/AtQHNU9SvqYaDR+flQcOIhX61bV5as0GhRb3QNOdYFBhI+9n+xP5mLJzsK/Szc0vn7kLvwGa/5ZYic9if6CR+/NOWfIWvAZeT8vJ7TPgOrtar2ByNvHcvr9NzClp+AZ43pRUmtRARUpJ6jXf1T1Nv82XTj94duE9RxQPfC7cM8W8jauJmrAGDyjEqrPna28lDM/LkCt1aL3r7mAqH/jJMwFOeRsWUXsgHuqzpuikL9vE/U6D6ix/zl6nwC8oxpScHQ7oa17UpGXwclls6nXYQBBjTtUj+dx2Czk7PuFtE3f4hn4CHpv51uZIY06ojN4kbZhASqNhrDEG/GJbIhaa8BhraQ4/Qhnj2wGBRr0HItvuOsnmGzmCo6unolfWEPaDHoWrf6394DioDDjEMd2fEmjDqMJCHe/dl54/S5kn9riFDClHlhOXKO+NYKlcxRF4cT+hRgMvrRqfz9Gj/PtLCs5w+G9X2CzVRLXqC9mUxEFZ4/TpPHQ6n3qRXVgx9b3qN/gFrRa90+J5eUdxNMYjI/X+cko07O2kZL5K0lNRuPvE1u93Wwp5fDppexL/oLWTe6ufnKuuCTNaYFdlUqNv1c0ucXJ1At0XjfwHKvNRNrZHdyQcF+NYKnIdIaU/O00Ce5FPd/m1b1OdoeVU4Vb2Z72BZ1i78aoqwqOMor2k164l4717nQqJ8G/A9uzvyXQEEWA0XXPo91hI7P8MJ38zp9Di6OS7UVLCdFH08qnV3VApCgKOZZT7CldQ5LPTfhrwzljOUGMoSo4tSs28k3Z3HPPeJKPJHP44CYaKR3QX/C0nkNxkGE/RpbmOB9N/dllncTfmzwzKa4qHx9fFi1ZhEefHrX2uKgNBnx63EDZhi1Yc3LRBgdTuHwFxrhYgu+4vTpYgt/WgktsQejdYyhe/2v1ArUqlQqPhg2wZGU5la3198eSm+22nsaoaCInPYqtrJTUqa+TOXcmFSeSiRwzwSlYAjCE1SPqngco3rEZS8HZGm3xb9uZop2bXB7HYbOStehL/Fp3cnoiTu8fhHeD5pxZ8TWKw47dXEnOL0uJGXYfXtH1nc6d1suH6EFj0Xn7UZy8x+VxglrdQFnKEaxlVRM5OiyVmAvz8Imp+6mv0KQbydn1E6azmWRuWkx4234EN+3sNPhZrdUT0bYf/gmtOLPnR5fl+Me2IPGOZ/D0D0bJ3EPmT3M59M1/OCsWWLEAAF5zSURBVL58JuVnThLbYRiJQ56uNVgCyDnyKx6+YcS1GVIdLEFVEBAYnUj99rdzeu8iFMX9U44BEc0ozU+pnsKjoiSHiuIswmNqH2tVlH+SkqJ0Etve6xQsAXj71qNl+/vJPL2BirKzHN33DRH12qHTn+8Z8fAIJDCoEceOLXG7Lp7ZXMKpk6uJrXf+tpDVZuJE2hraNBnjFCwBGPQ+tGp4OxZrBbkFh4CqHqozeXuICnKejDQ6pB3pZ3fUWofMgr0Eecbhoav50MTRnJ9oFNSdKL9Ep4knNWodDYO6EeJVn5NnN1Fcmc2BM8s4nreetuHD8dI5ny9fQxgtgvuyO28JBZUZLuthspegUenw1vpXbztdsQ9fbTCNPTs59R6pVCrCDfVp5nUDh8s3E6iNoMxWUJ2eaj1As6bNad68BW++/V+8IvRsrPiejRXfs6diLUct29lqX4w1opCly1fXWGZFCJCASVxlWVlnMFWa0MfG1LmfR/MmmFNSKd+zH8XhwJySgv9NfWoNsjyaNUXj6Unxz2urt6n0ehy/Lair2GyY09LR+vpSvHH9JdVVFxRE2B2jiH36WRSbFf8OXdHUMl2B1tcPn8Q2FO3aWiPNt3U7yo7sr/EFZc7LJmP+LDQGD8J61uzpibhlBLaKMtIXfkzBrg141IvFI8z1LVmVRkNw+xsp2L/Fdf08vfGKaUTpqcMAOCxm1Dq92yf5vCLiiegykOM/zMR0NpPgJrVPUxDasieFp/dht7he2V6l1hCa2Ae1SsXx5NP07Xcr4c260/DGcfjVa1znQGrF4SDv2FYim95Y63sg4LdZxYtzT9bZJgCtzoiiOFAcVQF2wZmDBEckOt3OulhW6hbqxXSudS05o4c/weEtObB9HhqVjgYNb62xT5Nmwygvy+bI4QVYra7HqJWWZrJ712wiglsRGnT+dml27j4CfGLx9nS95plarSU2ojMZ2VUL3p5M/wkfj1B8Lto/zL8pVnslp3M2uCwnv+QU4b41l3Yprcyl3FJApG/t4yTj/duTWXKAnWnfYFB50bneaPwMrusb7tWIFsH92J23lCMF66mwFjml2x1Wp6fhHIqDDPNR4j1a1foeCNfHY1esmBUTlY4K8izp7K5cyRklmRt63MAbr7/CTb27Y8lU0VTbkVhVU2zqSvI16bw9bRqbtmynWbPfPzu9+HuQW3LiT6C6tMkybXbiS02csNqwWSwYLlpCxqlElQpjo4aYU9Oqt9nLyijfug3L7j1YKioIDo+gV/sOrF61AmtBAbrAup/COkfj5Y3DXIlHXN0LhXrEJVC6f3eN7VofPxSbjfxf16D18cVhMVN6aB+WszkEtOlKSLd+Lh9XV+sNxIycSO4vyzi7+SdCOvap8/ieUQmcWfNtrelaT2+KD29HURQcdisOqxnFbnc72WdQs45Yis9SlnEStbb2gELvHYDWwxtzaQGeQa4nutR5+pJTXATAAxMeYMzYuwmq3wGdseaA5QvZLBXYLBV4Bda+lIdKpcYnJJ6Kkmz8w+oef2Kz/vYUYeouUBwUZOwjMLTuL8qK0hyiY+tehsg/MIHSonQSW41xmv37HK3WSFK7CSQfWcSWzW8QHNKM4KCmqDU6LOZSMjO3Yq4sJj76RqLDnecJKzPlEuAbW6PMCwX4xHEsdRVHTy0jv+gYHRrVfMBBrdbSpsEodh7/DJO1hPjQrnhesK6czWFGp6n5JGqZ+Sz+hgg0dTyh56kPQKs20C5sGL61BEoXCvNqgKf2TnblfUu2+QjBXtEEqGLRazyptJdhcVRWL4tkUUw4FDu+2pq3nc9RqdQEaMOpsJdQpjnLQfM69GoDIeoYvp71LWfN2XTU98Nb8efcg3JRNCTVdoQXn/83AwYMqrGcjRDnSA+TuKrCwyMwGgxOgY0rlUeS6dSpC0u/X45SWQlU9RLVxWE2o9JW/RVUHA4cx47z8UefkXzwIKdOpnFwz2E+mvMJY+8ZT/HCb3Bc4nwydpMJpaIcxVr3E06K1eIy+HCYzahUKvpEhNDKbqKZtQKl8CwNJv+b0B631jm3j1qnJ7zvMPwS22G3mus8vsNqQVXHl5lWcdC2cX1ae9lJ8lERGBxKccrBOss8xysiDncxrqIoOGzWOtvjsJrx+G26hC5dbmDo4CGkbZyP3VJZZ9lqtfa3HqG6x5/ZbRaXgcrF8jMPEBERReMIG81j1CQ2S0Bx1H19VWotdnvd7xm73YK3d1idddBqjTRPvJO2HR4i/+wRtNoTqFVHqFevnLKyLDq1fpiYiE41flSoVRps7o7vsGB32LBUFtOh0TgMLp6cA/A0BNCx8ThUqNh0dCYHMr7iWPZKkrOXYbIUYLXX7P1SqTTYlbqPrygKdocVm+PS52qqtJcSFBzEwUPHeOipiYS2VENkNh6xpWi1aopsVbfQ1WhwYMfh5parXbFiUheBChpokuisGUQjdVvsVgcNtK3wVvvXyBOjaoK1zM7Klcsuud7i70cCJnFV6XQ6xt49jsq1G2odQ+GwWKhcv5nJ9z+Ap6cno+4cjdrTk/K9e2st12E2Yzp0GO9OVb/KTUeOEuTrx4ABA4mJicHX9/x4jBeff5mWMTEUfv4xdpPr20fn2EpKKPh4DvVj4zEfOVDnvqUH9uJVv+atjLIj+2ndrgPT332fzz/5ggVffUdEeAQVaSfqLO9CKo2W0iO76xyfU3x0L95xrsdeOGxWylKO8vxzL/PJh5/y6UfzefZfz1KevP2Sju8VkYCp4AyW0oJa9ynPPoVarcHoV/s8YCVpB7nhhqpH/1UqFW++8TbdOiRxau0sTEW1jy3T6I14BUVTkL6/1n1s1kqKs5OrlzipjaIoFGXs4LVXX+fTTz7jw3kf849/PE1JQXKd5zcwpBF52fvqLDv3zB4Cg+o+/jklRam0apXEmjU/s2bNz3zzzXc0bdqSopLTLvcPCmhITv7BOsc/5eQfQKVS0SymPwY3y68YdN6EBzYnOCiEZ1/8J/dOGsoDj47i3vFjKbDUfG8GekZTXJlNpa201jLzTal4eHpyumLzJQVNJlsJx0p/5v+e/Td+fv6MHz+Brxd8x09r17Jz93ae+OeTZCvHAdCpDPhoAsm1pNRantVhJt+aiVUxE0oMUZqGqFSqqoccHGeI0MS5zKdSqQiojGDl8hVu6yz+viRgElfdg5MewqewmJLvl+CwOP+qt5eWkjfrIyylJWzfUfVlfv/4+8FioXD5SuwuFiRWFIXClatReXjg1awZDrOZ8tU/8uCESS5v/Wm1Wr767Bt6t0oi653XKFqxFOvZPKd9zFlnKFq8kKypbzJqwCC+/Oxryg7vx5Se4rJNZUcPUZmVgW+i8wBbRVGo3LuNByeefwpSpVLx+COPU7xhFXZTudvzZS0pxHz8IP7eXhTucT143FKUT8GejQS1vsFlevGxvTRo0JAWLc6PPxk69DZsxXkUHdvltg5qvRGDXzCZW35AcbF0jMNm4cy2ZQQ37VLruCiH3Ubhie1MvP/8HEsajYY5sz9kwr33cHrtbFJ+mUNByj4cv61BpygKlopisg/8hL2igPQDK7HVMjdU+v6V+ATFY/R2PR/QObmnNuOhV9G37/k5urp164GPtyeFubU/bRoe24ncrL2UFrsepJyXfZCykjNOUwnUxlxZTGbGOh599DGn7ZMmTSKvqJaB+/4NAIWM3J0u08tNZ8ku3EOH9h04U7DXbR0Ackr2MmHiA4wYMZJJkx5i/PgJPPnkFM6WplJhKXTaV6/1JNy3Ccln17kM2mwOC6llW3jyn0/RplNL9hUuotxaWGO/cworM9mT/x0TJ01ixIg7XO4TF5dARtlxiqw5qFQqYjxacMK0C6ujZm+roigcq9iBXmNErVIRgfN1UFBQ1zFhpRrNZc1iLv4+VIq7xzXEX1peXu2/Fq+kQ4cO0OeW3jhUVM3u7euDNScP08HDeLVrg3/vGymcNY/pb0xlwIBBzJ07i3+/9G9URiOBA/rj2aolap0Oc3oGRT//jOloMhEPTkYXEkzORx9jTUvn688X0Lt3bwICvCgsLMdmq/lFf/ToESY//ACHDu5HbfRAZTDgqDShWCx07dqN/741jbi4qukAfvhhIY888Qg+nXvg26YDGi9vrMVFFO/YTNH2TUTecS+e8efHOSmKQtG6VXifSWPDus1OYyMUReGxJx5hxS+/EDL0HnS+rmcVN+fnkLfoE+4bcw/Dht7GgMG3oI9til/SDRgCQ7FbKik+vJu8LT8S1KYHIe1urFFGZX42md/P4uN5H9Orl/M6Wrt372TYbYMJ6tCfgCbtXQaYDruNvG0rUOWexM/fn7xyOwEteuIdUR8UhZK0w5zZsQKDdyD1+4x1eUtOcTjI3LyARuE+LPz2B5dtPXLkEIMG30pFpRVrZRkqtfa3NcdUGD08mfrONDZt2sTSlasIaXgjgdEtUWu0lBWkk3dsPfmZRwhP6Ex0i1tdDiBXFAfZJzeRf/pXViz/scaTUN9++w1P/2sKzdpNwOjp+nrkpO/mxKFFxCT0IiKqPTq9F5WmQnIyt5OXtYMbbujGjh37adx0VI0n6c6pKM8j+cgXjBlzF//+9wtOaSaTiY4d2uDv1Zqo8JoD7EvLs9lz+BNCA5sTE94ZL48gbLZKss7uJyNvA089/S86dOjAsKGDaBk7El/P2icLzSo4QFrhOrZu3U1QkPO4oNdfe4VPP/qMVqEj0GvPTxhptVeyI+0r9GpPEgI7EmCMQkEhr/wk6eXbad+lDR99PB+AV195mblzP8BDFUSMT2s8dL4oikKZ9SypJbvRGhWee/4FRo8ZW6NuGo2KF55/hk8/+gwfWzC51nTa+d6CrzaEQ2W/UmjLpr5HG8L0cahQU2zL43TlPops2TRr0YyDhw7QVT8Yg+r8WKytphXEaZsRrnE9DuyQdhMP/t9k7ruv7klT/0ghIf/b4uni6pKA6W/uzwqY3njzVT7euBaPG7tTvu8AjspKtL6+eLVJQutXNQtx6Y5dRBw5zs8rq558mzt3Fs89/38oOh2OykpQqVBpNOijoggYPBDL6RRKNm7CEBWNZ+MmeO7aye7tewgM9K41YPrll58ZN+k+gu+eAA4HDosFtcGAYrWSO38OK5euJiAggHemvs3iJYswlZfj7edHcUE+KrUau92OR0w8If0G4xFx/gk2c14O+etW411SwIolq4iMrPl0m8Ph4D+vvsT777+Hd8PmBLTpij4wBFAw52ZRsGsjptQTPPfsC0ya9BAqlYrMzAzenT6Nb775EqvVit1mRas3YgiPoV6v4ej9zn/xOaxmio7uJm/Tcl5+4T+Mu/c+l9di3749DBk2CKtaR0irHvjENEGt02M3lVN4Yg/5BzYSFxPLkh+W4+npyfTp05j/+XyKCs6iKApBIWGczctF5x1AVIeB+EU1qe5lUhSFirPpZO1aQXSQN4sXLcXHp+Ys0xaLhU6d26IJak5E01447DbsVhMqtRaNzkB28q9Ycvaxbesuli9fwvT3p3P08AE0Gi1e3j7cc/e9DB48lEGD+2O22omo35WgqJZodB5Va8mdOUTWyY2oFCtrf/6VBg1cDwp/5503mT5jOtENbyEkoqXTGngVZbmknfiF/KwDBAQGUViQh1qjQQXcfPMAnnjiSZo2bcbLL7/A+++/R3BIUyKjOlUttqsolJXnkJm+lcKCY/zrX//mkUcedxmgHjuWzKCBt+BlbEBcZPfqSSur3jM2MnJ2cCL1J1QqBbVahd1mIyw8Ek8PDxIS6jPm7nsoKSnmH088Tv3wXkQEJjotY2KxVZCau43ckr0s/H4xbdq0q1EHRVF44vFHWLRwMQ2CuhPu26R6oker3czRnJ/JLj2CQ7GhUqnw8fbDbDbhcDho26YDTzz5JN2796Rzx7ZU5CqYbZVYHBWoUGPUeIPGTtfeHZn74ccur8Mnn8zj9Rdfo6X2JgxqT7IsJzlcsYkIfQOijU0ptReQajpIqf0sKtRoVFq0Wi2t27Tmi6++pXfPbvjnxBKiOf/wwRnbSU5bD9FB3w+dyvnhhXx7Fke129h34IjT7fsrTQKm64sETH9zVztgcjgcbNu2hXETx6G7bTAeDWt/8sxhtXLm2RfZtX0f4eFVk/clJx9lzoez+eabL3F4GFH5+qJ2KFhycvCo3wC/zl3waNQYFIWct15nyYJF9OzZlcOHT2AyVRIWFo7HBfM43T5qBIf0Hvh3rvn0U+Ga5dwQHMivG9ajim+ET9vOaDw8KTt2mJJff+TJR//Bf6e9jc3TG1tpCZ7xDVBptVgL8zHnZqP39OLFp//FvffeX2sbjx49Qr9bb8K7VReKj+zGVlYMKhU63wD8miRRsPUn9u87SnCw820mq9VKYWEhnp6evPjScyxYvgJzcT4eYTHovP1wWC2UpR/H4B+M0VZJ8hHnR+1ttqovOo1Gg8PhoH6DGPxb9aYk7QgVeek4bBY0eg98oxuj9fChoa+D3j17M2vOB+Tn5WK322nTriOPPvwoL7/yEvbwNtitZnKPbMBhs+IVGotKpcZUlI21ogRsFn5c/TMtWrieLPGHHxbyr+deokHPybU+QXli/SxeevZpbrut6vZNRUUpHh5a1GojiqLi1KmTdO/RhQZtRpGbtpPisyex28xoNHp8guIIj+1IyoGFLPr+B5KS2ro8BkBSUgsKiyqxWsvxD6qPSq2lsqKQitIsQuu1ISr2BvbvfJ/5n37Ot99+y5Ili7DZrGg0WoYMGU7Lli2ZNu0DfH0akZ2zB7O5BACj0Y/wsLYUFO5l5szp9O7dt+qWo8WCXq93aveyZUt54IH7sdtsBPjFY9T7YXdYyS86jlHvR5B/A2yqVCY+MJn/vPwCkYFJ+BijqLQUk1O2l46d25OakkLa6WzMtlJCfBui1RgwW0vJLz2Fh96PwcP7M3Xq9FrPg8lkIj6+Ht66YCptpfgZI1Cp1JSZ81EUO4raxr+ff4E333iVAFUckZ4t0KkN5JpOkWrawfj77ufTjz6hk9+dNXr8Ku3lbCn4kg9mzePLzz7j8JFDeHv7MHLUKEaNGkPP7l2IqmhNkO58D1mFvYR08xEyLccwqD3RqvQ41DbMSjlJSW2Z9OBD9O17MxqNhvfff48Zb86gmdIZo8qrehzTYctWCh05xGmaE6QJx6ZYSVeSyVXSuHf8/Uye/DAREe6X8PmjSMB0fZGA6W/uagVMiqIwf/7HvPPuO5TbrJQXFRHxxCPow+peKDjvP2+wYuEymjRpWl3O5s0b2bt3F+9MfQdtu/Z4JCSgDw1D6+/vlLdw3hxu7diJdRvWk5uTi0anBbuDESNG8tgjjxMVFU2bDq1R9RuIMapmN33Z4QOY165C3aAJQTcNdEqrzD5DzvyZOBwOYh6Ygq2shMrsDBS7HY2XN94NmlKwehFNvT2wqVQYDQaGDhzMgAGD2bRpA19/+zX5BQV4e3mxfc9uou95ymX7T816kX439WXb9m3YbDaaN0/kgfsn0L37jaxb9zPHjh1j6bIlpGv8CUnqTmnKUWyV5ai1Ojwj4tDojZz68i1STmVisVj45psvmTVnFqdOVI3Vadq8Jffecy9PPfU4rSe+4zJYKc06yZmfP8foF0xwq754h9fHYbNQcGIXuXtXozgcNL/9BdRqTdUtl9zTVBbnojgc6L388Y1sTPbuZQzpkcQLz7/ssp0jR93O6SJPwhrWvn5X7sltRHoUsPDbRQBotWqn262fffYJ/53xCfGt7qy1jJSDixg5pBsDBgzB09OT2Ng4pzYfPnyI/v1vpk2Xf1JRlktpSSYOhw293pvA4MZofptW4cSRRRQXHCUgoAn1Im/A0zOYysoizmRuJjd3FyHBrWlQ3/Us6idOfc/gwTeQmpLGylXLsFoteHv7MvKOUUyYOIm4uHjmzZvF7BnfEBfem7zCo1hsFWjUWvy8Y/DzjsSh2Pl5+0sY9B4kxY3G1/P8bOA2u4X9GV+i0zuI9OyBQedNflkKdocVncZIiG9DsgoP4hlWhI+3Lyq1ml69ezFy5CiOHz/OZ59+Qnp6OoFBgaxcuZQ+CU9QZj1LuSUfRXFg0PoQ6BHFwaLFhEX7UZKipoGv83UrNueyK38hYd5xNPesueg2wMaz83Go7MToWhKgjcDiqCBbOY5VX4qlwkoH/VCX70e7YqPYlofJUcpR82Z+XruRpk2rZvQ+deoEU995mx8Wf4/D6sCu2DGqvIjVNiVSU598RxbJ7MA/wJ+i4kJsVhuKohCmjwQN5FmyGDx4KO9MfQ+DofalY/4oEjBdX2QeJnFVPPfCs3yx6Fu8hw0iqFFDzG9NxZafX2fA5KisxFxSQm5uLmq1mrKyUu6fdB9F5eUY4uNRIiIo3rAeR3kZHoOHOuW1m0wUp6WyxGrDu2c/Yuo3rFrZ/mwuy7dtYlGvrgwdPIyS0lI8zua5DJisBXkUFeYT36mH03ZbWSkoDjzCI/FWHJSfPoZfy3YYL7glpzgcFCYf5EB0Al5NWuMwV/L8f9/hH089gdEvAM9m7dAGxmI9m0VZURHpSz8jqv9dTgOmK/POUGkqZ3NKLj43DEWt03Es7QT3ThiPYrdh9PHHEB6LpbScopRdOMwVRHQb5DSGqOjYHqw2O42b1sdgMGDXe+HXvDste96LgkJJ6mFenToNjU5PZWEOHoHhNc5DYfJOFI2e2D73Vc/DpNEZCGnaBY/ACI6vnI1it4FaU3V7JiwBn7CEqnNVWU7uoV8pOnOSrxccx2qxMm7ceBISGrBt2xa+X7SQoqJijhw+hDGqc63vBVNpHoWZR8gqTKNDx7a0adOWSQ88gMNh5rXX32bnjm1YrRZ8g+uef8luV5g69R3mzvsYi7mCsPAInnj8Cfr3H8h33y1g/vz5aHQ+qNVavH3r4e3rurehrCQHP78mNGg4pHqb0ehPQv1bqajIp6TE9cBwRVEoLs5kzpzZRId3oWPiI+h1XlRU5vPT6l18+VVXhg4dzrJlSykuLiAr9yjhwS2JjeiCUX/+VqbdbkGlUhHm38QpWALQavRE+3fh5NnVFKlSqe/TE2+j8zp7uSXJqEodRPtGoADzDn/GKy+/hF5vpJ5XIp7aQPJPFqHTeLI143M6RN2Br+H8Z9VqN3O2JIPsfafpXm9cjXb6GUIJ8AinsDIHxUOpEfjYHBYqzGV09B+Cn/583YKVGJIrtlBmSUFlcN3TaHZUkGtNI8+aiuKAcWPvZsIDD9CgQUPuufsuQq3RdKAvHnpvFMVBnuMMx217OWHfQ2hoGP956jVGjryL3jd2o+K0hQRLczTmqq/CBMXM+mW/8ohlErPnfeTy+OLvSwImccX98svPfL7gSwIfexCtb9Uffe92bSjdvA3PZrUvzVG2YxcOlYp7H7wPq8mExWzGq0UiwRMeQK3R4EdV8JL75RfkLviasFGjq/PmfPYphnpRhN4zAZX2/NtcHxyKsUlzCnZuZ9GuPagTGlD46894N2+JWnd+XIO9ohzTzq0oNhsa76pfgaaMVAo2/ET5qeNovX2wV5RjMRiwr1uBR3Q8+oCq8UOK4iD3p6Vovf2IGDK2+nZA6uHdeDVqSUTfERcERq0JaNeTlK/fJ3fjCsK6V/VK2M0mMld+jX+TtoT1GFxdL0WB7K2rieo9Ar8G52c8Di8vIWXph5z5dTGRPYcBYKsoI2fLKiJ7DMcYEMaZTUtQKWp8Y5tWB1UBDZLwi0/k+IK3yN39IzG9nRcJtlvNlKQeol67/i4nrfQOi8cjMILC1P0EN3BeVqQgZR8pm77BL7wR4U17oNboWLHpIPM/74afrz8VlWb8o5PQGryx6YNJ3bUIq6mEyOa9neqQc3wLafuWExKdRL12o1Cp1Ow8epz+A/ujAuo17E2Tzg9SXpLN8d1f47DbnMYenT93DvKzDtMw8Q5C67VEURwU5B7lmWef48knnyAoJB6tLgSrNdP1G/I3NpuZ0pIMmjUb6TK9QcNBbN3yFkVFKfj7xzml5RckU1Z6lrYt7sf3gjXivD3DiNXfSE5eMiuX/krDeoPxqR+OyVxEes42th2cQ7tm9+JlrHqPZZ3dR1hoPYyaEM6WnKSwLAVQ8POKJti3IT4e4VSaTWRa9xDoVZ8Ar/MTfmbk76XcnE+P+pPQqquuaXF2Jj76MNrUG1a9DSDOvx17sxazL2sZbSOHA+BQ7Bwr/Blvbx8KCs6iV9ec5BLAQ+dHqS2fvMoUQj2c11FMKd+Lp9bXKViCqidI63u0Ja38EJWOcoxq56kRMs3HOVqxhXBtHC30XdGpDJSdKWLay++SW55JfXUicdqmF5SnJlQTRZA6nH3qDdw1ZgyjR9/DqlUryEnPJcnS3em9plcZaFLZlhUrl3H69Cni4xNctk38PUnAJK64GbPfx9jjhupgCcC7YweKfl5H6fad+HSoOejUkpVN4bKVBA0Zik+7digOB6bjxzj7/fcU/vwTQX37AaD19iH8nntJffVlKtNS0Xh5U7Z5I5Upp4l5+J9OwRJULQmS9dV8Im4fg3ejZih2O2cWfErGvBkEdOuFPiQc85l0KjavZ2C/W1nz84+Y0k7jqDSRtehLgm64iYiBo9AYPVAcDspOHOHsyoWkzHqTwKaJ4OlN8ZF9oNYSd9eD1X+MTVlpWPLziB3xQI3H7jVGD6IGjuHUJ++AqRyVSkXBkT3oA0KJ7H2b0755238mOKkH/g1bO23XefkSP+g+jnz0MjovX+yVJgqP7MCvYRIBjdqiUqlIGDSR499Oo+jUAQIanM+v1miJ6TuW49+/i/rn+QS06I7BN4jynDSK9q9FrQKv4GgcNgtWUxlagyca/fklYrzC4ijLTXEKmEqyTpC6+Tsa95qAT0jc+YrGtCS0aS+OrJlJUEwbohL7/ZZwA5GJBRxZOwud4fytueLs46QfWEVizwfx9D3f++UbHE9oXGcOrv8AlUqN0SsQo1cgmb7hZBz/hZgmzk8DAmSd3oJWayAkompqBZVKTVBYM3z8o9m18V1CIrriFxBL9pmdlJWcqbV3yVxZjFqtw2h0PTjYaPTD29ufw0e/ICqyOyHBLVBwkJe3n9S09YQHt3IKls45mfYTvl6RJCYMqx7z4+MZTrP4wZw+8yuHT/5A++bjKSpNJz13I926d+OXn9ejVesJ9WuCChUnsn7haMYqYkM6ERFej+eef4GHHppEoHc0erUfBWUpVFQW0y56ZHVgZLFVkFl8iG5x452CJaiaLLNl+ADWnprB/rNLMKi9yC0/jsVqJsarNWXqcoot2fgbnNujKA4KKjN46ql/8ebrr1JqzyVEn4BdsZFjPUZG2RGaezv33J6jUxvw0PhQYMuinv78GMcCaxbJFVtpZ7wJX835hxu81L6EKTGc1h4g3XacaKWh05IqABqVlvr2RObOmc2jj/2DJYsWEVgR7vKWn06lJ0wTyerVK3jggYdc1lH8Pck8TOKKslgsbFy3Fq/2zoNsNV6ehD9wHwWLl5E7/0sqT57GXl6OJTuHwiXLOfPf9wi4tT8+7aqCKZVajWfjJtSbNIniDeux5udXl6U2GPBOakPm+9PJnvYOgdk5GP0DsBUX1ZgzqOzgPgwRkXg3qhrzoNJoqHf7Pfi370LBujVkzn2PehmneeuFl/n3M88zZtQYClf9QNb3XxB521iCOvWsXiRXpVbj06g5MROexNM/kF5NG3Nnh7Y4TBXUv+8pdD7+1cctTT6Ab7M2tS5DYggKwy8iij7NGjB5yAB0Wg3Rt45xur2m2O2UnNhPUAvXt660nj4EJDQnd/sabOUlxA+4n6hu58eBqDVaghO7UnjRvEsOuw2HzYJ3cDhNIvwp3rqQY9+8jvr0Fv7viceoF1GPjO1L2ffF8xxZPJV9Xz7PyZ8+wVRYNdGkvbwQU95pHPbzM7Fn7fuR6KT+zsHSb3QePjTqOY7s5A3YrOdn+DZ6B1K/00gyD/1cPaP3mSO/ENO0r1OwdI7e6EP9NsPJPLG+esLJRm3uIDt1G8m7vqKsKBO73VrV87TnO9KP/kTT1qNqfEnqDT5Exd3AmfQtqNVaIqI6cjJ5GQ6H65nlC/KOYrdbsNlcz7zucNiwWit5990ZxMXD3v0z2X9gDvEJGux2G8EBjbFYnecTs9nNZJ3dR4PIXi6nRIgJ70yZKZf9J+Zz8PRXvPDii2zdsoX4kC7c0HgyjSN60yiiF10a3k/D8J6cyF7LoMGDGThwCAcPJvPPZx7mzvH9MFmL6RAzGj/j+fOZV36KAI8ojFrX42m0aj1RAc1p0T6e4ffehF2x0jLgZhr6dSLWpxVHCtY5zYukKAonS7YRGhbCkCHDWLJsFa16J3CS9WTotnPLnT1IiK/PWUsGmwu+Y23ep2wuWEia6TAOxV41W7jaSp79/OLIAKcq91Ff38opWLpQvD4Ro8qLLEeqy3RfVRD2SgdvvfUahYWFaOvoL1DbNZjNdc+sL/5+pIdJXFEVFVUTM6o9anbbG6KjiHr6H5Rs3kLeF19hKyzCYDSi0mgIGjwE344da+TR+gfgndSGkh3bCbr5lurtaoORsMgoCvPPclarQx0SRu6S78DhIPDGm/Bt0wEAS/5ZjPWc1yNTaTT4te2Ed7OWnHrjOW4fehuvvvkqZx6ZhFqjwW6zo/HyQR/gekJEjYcnPjf04eDRQzzxxFPM++Qj7BXlKHpDdXCl2CxoPOse4Knz9Oamm/oxcOAQXnnlRTQG53PmsFlRHA60nrWvu6bz8cdhsxLZfbhTL1B1urd/9cSPDquFnD0/k394Kxpd1Xnftn07zVsk8t606fTqdRM5Odm89J8XMYQ1pvnQ2zB4B2KtLCPv6BaSl79PfI9RlJ45TstWSZxaO5eg5r0weAdRkZ9Jo56upzEAMPqG4BUcQ0H6fkITOlRv9wmJB5WKU9sX4BUQTUnOCZp0GFNrOb7BCYCKssIMfAJjMHoF0brHI6QeXs3+De/jsFvR643oDP4kdX2o1rmRgsKak5myEYDY+r04uGc++3bMJbZ+HwKC6lc98VeRT3bGVooLDtGqVRuys3YQFV1zotDcnP3YbHbUahVffvkNmZkZvPbaKyxe/D1GvR+nMtZSYconOKAR8VE98fYMo7KyEJ3GA0+j6/UNNWodgX4x3DKwCy+88Cpvvvk6AcZ44kKcPyMqlYp6AYmUVuZy4vhJSktL8PHxZdSoqnP4+uuvAAoWuwn9b+vFVQ0Gr3uAsxYDrVsn4efnT5BnFCEecQDE+7Sl3FbEr5mfEOHZCJ3GSE7FCUy2EpRiB506tEGtUXPHHaNYsWoN0dExVFRUsGzpEspsFdT3aIOXxp8yWwGnTfvJqTxJtEdzgoIC0RvUHMvfQpymNQBFtmxaebqemPWcaF1j0ixHiNLUnDxUpVKhsqj57IP5FFnzCdCEEuWouZ+iKBRq82jbtn2NNPH3JgGTuKK8vX3Q6nTYCgrRBdX8MtD4+hBwc18Cbu5L8cw5vPbEFCZOHEd469a1lmmIisJ0/Hj1a0teHiWbNxLQuTtRY3ui+S04UxSFipPHyF20AFtpCYE9+qD19afi6GGX5VaeyURn9OCN2R/g1aknCaOaolKrMedlU7j1V1I+mkb0qIkYw2reqvFp0oqjS7/m40/mUWmq4OS8N1DsdrziGxPWcwCG4HBKjtW+bpvDaiH/9HG+X/Q9nTp1xds/gIozKfjWP78grFqvR+vlgyknDc9w15PvFaUcRaPTU37mFL5xzWqkl2eexCMwHLvVzKllc1BrDdTvex9eIVVBpMNmofDUXsbdN44XX3iJnbt24hXZjKiOw6rL0Bm9qdf6JtQ6A6m/fsXECZP515RnmDt3FrPnzCL1bB5ao3f1E2W18fALx1JR5LxRcWD08MDDno/jbD5qjRaNrmbgd45KpUJn9MZmO7/EjVbvhVqrQwX4+oUAaspKz5Jy7EfiGvXD6OHvsqxzvRlqtZYWSfdwJm0zJ478gMVchlarQ6VyMHTYbTzx+PsUFhYwYMAtaDRGwsKTfntC0EFe3iGOH19GXEwvnnjiURo1asKwoQPx9mhAu+aT8TBUHdtiLSMjezu7Dn1I6yZj0Om8sNvNOBR79XxHNdqqtlO/fn2Ki4v45uuvaBg4qNbzEhPUjlWr3qdRoxXc2LMPL738H7Zs2YxWo2dLyqeAgp8xgoYh3fExBHM6fyuK4nDZuwWQU3aSH1fbUKs0BKnOj+tRqdQkBt5EiSWPHNMJ7HYL9X07sD9/Nd2DR+Oh9abMVsi677ezcOENfL9oCUuWLMZWrKaD7yDUvx3PS+NHiD6WnSXLOVSxjo9nzufmm/sw/t4JrFq1ED9DCDqVAa2q7veUl9oPM66XO1IUB5VKBa3MXdCiYxs/kcsZQlXOn+c0zTGCw4Lo2rVbnccSfz8SMIkrSqvVMmTobazduh1d/5tr3a/4140Up6Xz4EMTUWk05H75BQH9bsZQr2ZwYisqQuN5fvbh3C8/J6BbLwJvdB63olKp8GrQmKj7HiRt5lQ8GzbBp2US+auXYkpPwSM6rnpfxW7n7NJvMdaLIfSOe1FdMGjYEBJO+MDbKdq1hYxv5pEw+f9QXzQ2Sq3VotJo+WblKuJGPYRHRDT2ygoKdm8i5YsZxNwxgZxflmHKSsUjomawU7h3C4bAULadzqBjl7bYNXrydq7FJ75p9ZgnlUpNYItO5GxfQ9zAcTW+3EpTk7GZyvFv3J4zm5bgFRHv1EtVWZBN/uGtNBg0iawty9AavEjoPdZpTJVaqyeoUQc8Q2L493PP4LDbaDzwHy6vWWjjzuTs+5E+vfvw7L//j4ULF1BeVkpIWDiFRcV1fgED2CpLnYKXsvw0jm2cj1qtxR7cBMVuweFIp7K8AKOX654Xh91KZelZDL/1HCkOO0e3f4q1soKWHSfi418VCJorS8g4tZ69W96ndadJGD2dyyvIPYKvf8z586DWEBXXjcjYrhze+xkGXTl5ebl89+3XpKWm8fjjTxAeHkFqyjpOnfoRT88QTKYCNBodzZveQVBgQ0pKk7nzztsJ9E0iNsL5y1ev8yYhuheeHiHsS/6SLkmPY9D7crboGKEBNR+EqKjMJzc/hfemzuGV/7yG2WLCM8J1bxmAh75qfFXnuPtIOXCIXjd2R6/1pGXoQII843AoNs6UHmZ3xkJa1xuCRq3lTOlhIn1b1Cgrr/w0VpuJ0lQ1aWX7aexTM5Dw1Yfge8EA7sOFv6BQdZvUWxtAY21XMk3BjLhtKA67naaantXBUvU5V6lp4NmO41TNij944FC279iKWq0hMMKXolN5bt9TFqUSTS1fa3mOM2jR4YM/KpWK1kpX9rKJbFUYoY4oHNgp9MzB4WVl8dcra50PTPx9ScAkrrjJEx9k6aB+GFo0wxAbUyO9YMUqyjZtJXDgIDybNcNhsVC6YwdZH8wkdMzdeDY6v5ipYrNRumM7YXeNQXE4KNm2BevZs/h3q7kkyDm6gED82neieNsmwobeQcjgEWR8Ohv/9p3xatgUW2kxFds3Yy0pInLMJKdg6UL+bTtTvG8HpUf34dfCeUxWyeG9KCo1YUPHozFU9YhojJ6EdLkJh9VMwY5fCUjqQuo3swi/aTi+jVuj1mqxmcop3L2Rgl0biR8xCUNwOKe+fBe/xm0oOb6P9JWfE9FjCDrvqgHzga27cuqrdzm9eC7hXfrjGRqF3Wyi4NB2crf/SEyfu/CJbULaT19z9PNXCW7VHb1vEBXZpyk4soOIzgPQ+wRScGwnTYc+Weu6bx4B4fjGtqTgxC4MPq6DFbVWh29QBKPH3IlPZAtibhiP3tOPktxTnN3yNSXZx/GLcL0YsM1iojDjMDEtq26rVpblc3TdPOJbDSI4uk31l5XNaiHrxEbiW7nuTclL34OHTyiePlWPvOek7cRSUULrzpNQa87Pbm0w+lK/2UDUGj0nDi2mRft7q9OslnIyUzbSuMVtNcrPzdpPYf5J4uN7065t1QSMeXkHueeeMdjtVlolTsRht1BpLsag98bHJ6q67iqVB0WFZ2nSqva5pcKDE0nP3kpewWHio3pw5PRSPI1BeHucf4TfYi1n34mviQluT+PIvtjsZjYcfpdycz7+npEuyzVZilCrNHjo/Yn2b8upvC10iBiDp94fAI1KR7RfKzQqLcfy1hEb0J5DuT9isVcQ5dsKncaA3WHlTOkhjp39lcTgfoR6JmB2VJJRfogo7+YujwtQYSvGodgxaJxvKUd6NCa3/Dh5ZRn4BYa4zOuvDaWooIDx99xLjNKCroZhOLCTlXYKh8NBnj2TUG20y7wAmdbjhKprzqpvUso4attJA1pUX58AVQgdlT5s4yeiW9XD28eXcUPGMGzYCLy9a7/tLf6+JGASV1zz5i2Y+uY0Hv/nY3j27IZ3p/ZofHyqBjH/uomSX34l+p9PoQ2o+sWsAQL79cMQFUne118R88yzqDQaHCYTZ7/6CqWykvLFP1BsqkBls+HXum2NHp+L+bRuS+a8mZTE78K8YwtxsTG0Dg/j4PYN+Pr60rhbN37cvRedX+2/2gH8kjpQcmhPjYCpcMsvBLTqWB0sXSgwqSvHZ79CRL0o7h1zD1t37ODIj9+h8fTGVlGGd2xj4u94CGNQGABBbbpTeGgHcUMmkLV+Ecc+eRWP8FjUWi3lGSdp3qwFLZq3YPmKTygtKUZRFHximxA/4H68wuMAiOlzJ5nrvkOfk0y0IY4G7ZqxW11BxoldmAtz8QiKxODrevDsOQGNOpB3dCtWUyk6j5rjrxSHnZKCbAJjWhPd7vwtu8DoFljKbiJl20Ka3fIoOoPXRfkcpGz7Fp+QOAy/9RxlHf2V4KjWhMQ4n9eoJr3Y/8sMPHxCCIvv5PSrvygnmdN7fyA8rhNmUzEoCunJP1O/6QCnYOlC0Qnd2bb2NUwVBRg9/Ck8e5wTB3/AP7AB/oHOs85brSaOHVpIUuvx+PmdD/SjIjvj75/Azp3vU1Z6hrCwlvj41OwJLSvPIjSwVa232M6pF5JEZu4ufL2DUGsVdh37kNCAhug1QVjtJWTm7iMyKIlG9ap6ULUaA1FBbUnN24Z/7DCXZaad3UGEX3PUKjV5ZScI9IiuDpYuFO7ThEM5q0mv2Mpdd43m1KnTrNv6Pjq1J1Z7JX6GUJJCBxJorApCYrxasa10AXaHDY3a9WcurXQfEcaGaFQ1r0GIqj65ZGB2VGBQe9ZINznKUKGmtbo3XprzTyEm6FticVSSbNlBgCasxtImAIX2HPIc6QQaQ8m2puGnDsSm2Mi2p5DhOEEMjQhXOf9g81R5E2mI5baRdzB+/ASX7RHiHAmYxFUxfPgIEhISmDbjXX56+XW0Hh7YTCY8fXzw79S5Oli6kGez5qiXLuPsxx+h9/ah9NAhevW+iVc/X0BOTjZGowcLFnzFN0eOuj2+xsMTR6WJ0JPJPPDPKQwaNNRpJt+ZM6ez5vhpt+XofAOw/zaQHarGvZTs246t8CyaRq6X/dAYPcHhYMfW3ej1VX/ok9q1RGncAd/6zdFeNBhc4+GFw2pBYzAS1fdOwm8YSHnmSWymMkzpx/l5zToA3nl7Gh06t0Hf6mZ8ohs5laFSqfCsF0+C4suCr74FqpZTWbr0B15+5SUsuppfVhcz+ASi1mg5m7yZiNb9aqQXnN6Hw24nsvWtNdLCmnSn6MxRDi1/h4jmvQmMaYlKo6U05ySFJzais1dgLivhxPqZ6Aze5KUdJbHngzXKMXoH07zb/Rze9BFnjq0jOKo1qNRUFp3CWlnEs8/8izU/rWP3uncAMJtNBIY0qbVNWp0HXr7hHN45B1Dw9/fnhq4d2LJlCxmpGwgNb4VGa6CkKJ3UEyvw9Y10CpbO8fYKIyysOWkZ6wgNTaxx+6a8PBezuQy9zn1PhV7nTaX5LOPvH8nYsV+h0+lYuHABqamppKScwrG7CU2jnM9xTEhHNh2dyem8zcQFd6q+TaUoCpkFe8ks3E/H+HsAsDss6DSu50pSqzR4efqw8PsfaNWqNQB3jBhO6t4ion1a4XHRk3M6jQcqNRwq+5Hm3jc5rVEHkFl2mMzyI3QOGu7yeJ5aP7w9fUi3HKaBseZ0ImnmQ/ho/Z2CpXMaG9qTp6Sx2/4jcSQSoolGrVJjUSo5YztJuuoIM2fNo7y8jDkfzGLT8c3oMBBEGEl0w1fl+seQ2q6hvLzcZZoQF5KASVw1SUlt+fTD+ZSWlpCXl4eXlxeTH53M0XDXs32rVCq869eng38gPXr0pM/MecTFVU2AFxVV1S0fGRmJastmt8e2nM0lPDKKn1etdZkeGBiIUlbsthxbSREOcyXFB3dVTVx5ZC86q5knHn2CeQu+hU69a+QpPXmExs0Sq4MlgK5dbmB9SnaNYAmg5MQBp0HdWk9v/Bq2ouDQNlomnf+S0Wq1tGvbnm0ZKTUCJgBL1kna3dqr+rVOp2PYsBF4enrx+L/+z21bzSX5+Pj4UnxyG2qtkeAmndFo9SgOOwWn93Jm+w94+Qag1df8MlapVMS0GUTqhnnU0+ezY/Er2O12Euo34qlHJ3PHHaMA2LhxPaWlpTz88GR0RtdPEXr5R5LQegj2/O3065OI3WEnqfUoBg0aTHh4II89VrU0itVqJTIyCIW6V3vy9PTkvnvvpV+/W2nYsBFqtZpNmzYw84P3Wb/uv1itFupFxpLYoiEZGbWPl/HyjKSsLI2Tp5cRE9ULvd4LRVEoKk7h5Okf6NixI5kpRW7Ps8lcwI29evH00+evyf33TwLgu+++4eCet2rkMei8CfaLo8h2mK2n9xHkWR+HAjlFR1GrtLSLuRMvfVXvnZ9HJCfyNrgcUF5qzsOBjcaNzweZPXv1ZN6Bz2oESwB5Fado26Y9/v4BbNjwGRHGJnipA7E6KkkvP4jNbqZd4AA8ta7nqKq0lxEfn0BK6mnUlVpi9M3QqvVYHWbSLIfItp0kVu36dp9KpSJUF0OL3g1IPpzMxozt6LVGTJZybuzRm+lPvV29RuDo0fdQPz6K5uUd8VbVvZiuRWciPLzmtBVCXEzmYRJXnY+PLwkJ9QkLCyc8NBz7BXMqXUxVXMSQIcO4774HqoOlCw0ZchulRw9VLVdSB/PuHdw9qvbH0/v1u4XSlBNYiwvrLMe0fwftmzahQUku7Y0q3nnhJfbuOsiDDz6KqqKEwl0bnOaOsRTlU7xpJf947AmnciY/8CAlB7dRnnHKaXtZajJFh3ei8/B0KsdckEvRjjU88ejjNcopOrSJijznpThKUg5TmnKYu8eMrdGGnj17YSktoCK/7hmti0/sYPRdY1i2ZBWh5HJk4Suk/jiTo9+/iiZ7D2+8/hY2swnHb3MmXcxcXkBEvUgWL1pKZuZZsrML2bJ5O2PHjsfDwwMPDw9uuulmhg0bQUxsPGUFabXWxVScSfv2HXn++Zd56cVXGTr0thprfel0Opo1b0V+zqFay7Fayik8m8Jtt91B48ZNUP82hqtr12588fnXZGTkkZ1dxJ7d++nX72bs9tqDaKutiJEj76RFYhjbd/2Xg0fmsWf/e2ScWcbzzz3HK6+8QU7Bfux2a61lKIrC2eJ93HXXXS7Tb775VorKzlBY5nxuSk25FJansuandXz+5Rfcfu9NDL2rOzoDxAa1x8cYVr2vVm0AFJLz11bPVwVgtVdyvPhnxt83AaPx/K3kO+8cTYk1mzNlR5yOWWbJJ820k8f/8SSfffEVS5evpNvgVgQ0txHT3huzUkK7gAH46Wpf7iiPE9w7fjwrVq4hrKUnG8u+Ybv5BzaWfUN0uwAGDBiIQ+16/isAq7aS3r37snHLdjZv3cny1as5eOgYn3/1TY0FlUeOvItsXe3vKYAKpZQiez633jqwzv2EAFl892/vai2+W5utWzdz5713EfL4E6iNzuN/zBkZFMybx+EDx/Dy8qqlBHjo0cms2bePwDvGuBzLVHZoP6XLF7F10y5CQ2v/Y/7YPx5h1c7dBA8b7XLgd/Gebdi2r2fPzgMuF+ZMTj7KiJHDqUSFLjIBKkopPnGIJx7/J088/s8a+y9fvpTJD03Eq14sKr8QlIIcTHmZPPt/z/HOtLexa43owuNQKoopPn2UZ595jgcm1rxttWDBV/zjycfwi2kCPkFQlEV5bjqffvw53bv3dNnWN958lY+/+pboPveh0dVsS0lGMmc2fsnGX7dW9+adPn2KzMwMgoKCadKkKSqVim49umLxb0ZI/Q5O+RXFQcqvH/LYA+O4//4HXNbhQh99NJe33/2ABp3uQ6127gWxVJZyeN00lixeRsuWrau3X7z47rlz8e/nX6Jp24lotc7tUhSF1GPLaZTgw5dffO22Tjk5ObRtm0jbNg/h4eE88N1iKWPnrndZu/ZXGjRoSG5uLsePJ+Ph4UGrVklofpugdMiQgWSmVtIg+laXT3elZW3ErJxg69ad1XkutnTpYh56aBIR/ol46+tRbsklq2gvL730H+6+516nfQ8dOsjIO27DblHjo43Epiont/gEDz38KGtW/0hqShqBhgQcKis5pccYNGgI096dgfaiz83evbu5c+QINA4j3qowrKpycstO8+JLrzBu3P0u6znl6X+ycuEaEj1ucjlu64wpmQz1PnbvOYjnb0+55uRkk5OTTXh4PUJDQ9m7dzfDBg2kg3YAOpXz9SuzF7LL/iMHDibj5+fvsg4XOn36FDf26ErjyjYEqcJqpNsVG4c8tjP87mG8+PKrbsu7EmTx3euLBEx/c392wKQoCvdNHMevB/bi1X8AxpgYFLud8kOHKFuyhJeefYG77763zjIqKyu5Y9QIDmek4dG5O95NW6DSaLDk5VC+YyuVB/ey4KtvadeuU53lmEwmRowczrHsbLw69sSrQZPqeZjKdm3GcvwwPyxcSosWibWWYbPZWLNmNYcOHcDPz49Bg4YSFlZ7d39ZWSlLlvxAZmYG0dExDBw4BC8vL6xWK6tWrSA5+QgBAQEMGjSMkBDXTxYB5Ofns2jRt+TkZJOY2Iy+fQdgNNY+Tslut3P/xPFs3Lod/2Y98I9vhVqjxVxaQGHyFgqPb+PjD+fTq1efOs/Z1q1buGPkcEKb30Rw/fZotAYqS8+Sc/BHAg1WVixfXWewe47ZbGbY8MGknikionE/vPzroSgOinOPc+bICm4bNphXX3nDKY+rgMnhcDBhwng2bdlJRFwfAoIboFKpqSjLIyv1VxRrFqtXryUsrOYXqCtvv/0Gs2bNIT6uP4GBDQAVRUWnSU1bydChA3nttTfrzF9QkM+ggbdSUqxQL7gTAb4JqFQqissyyD67HYs9hyVLV7hds+zEieN89NFcThw/TnRMDGPHjicx0fWYOavVyo8/ruLIkUP4+/szaNAwQkNDURSFLVs2sWXLJvR6A7fe2p/69WtfrNhisbBq1XKOHUsmMDCIwYOHERRU+4MCZrOZO++4jWMHThKpSSTEEItapabMVkim5TD5jhQWLlpCq1ZJdbb1ockPsHblLyQoSfirQwCFPHsGJ9jF0//3f0yYOKnO/Bdau3YN48beTbgthnBbLJ4qbxyKnRwyyfY8Tbuu7fn4089rBIxXiwRM1xcJmP7m/uyACaqCjGnvvsPsebOx2GzYrRYio6J59ulnGThwsPsCqPqS+OabL5k55wNOHTuKRqdDq9Mx6s7R/N+UfxIQEFb9pVoXi8XC/PkfM2veLM5kpKPRaNFotdw58i4emvwwkZE1H1m+lrgKImrjcDj4/vtvmTlrJocP7UerM6BCYcjQ23ho8sNO41rqsmvXDp574Tn27tmFweiJ3WbmtttG8vxzL+DrW/f4kQuZTCbefOt15s//GAU1druVgIBAHnvkMe65Z1yNgdW1tdXhcDBv3hw++OB9Cgry0Wr12O0Wbr/9Tv75zyl1Bp6ufPnlZ7z99lvk55+tGlfn7c0jjzzG/fc/cElz9ZSVlfHJJx8yZ85szp7NRa1W4+npxdix45gwYRLBwa5nkL/Y77m2fxar1coXX8zng/ffJz0jFa1GWz3T94MPPUJMjOsJVy/kcDiYOfM9PpgxnYqKSuwOG+FhEfzr2WcZOrTm1A/uHD9+jJkz3mPhwgXYHQ7sdhvNmiQy6aEHGT789urbsn8GCZiuLxIw/c1dCwHTOVarlfT0NPR6PZGRUZc1cZyiKJSUFGOxWPH398fDw3BZXzKKonD27FmsVgvBwSFOA7avZZf7pVpcXITJZCIgINDl7cZLkZubS2lpMRERkdW3XC6H2WwmLS0VrVZLbGxcrV9o7trqcDhIS0vFZrNRr97/VidFUUhPT8NutxMTE1vr7bO6OBwOCgoKsNvtBAUF/e5ejeshYDrnws9PUFDw735PabVqfHwM7Nt3GJVKQ1RU9P88kaTFYqGoqAgPDyM+Pr7uM1wFEjBdXyRg+pu7lgKmK+F6+pL5I/yd2vt3aiv8vdr7d2mrBEzXF3lKTgghhBDCDQmYhBBCCCHckIBJCCGEEMINCZiEEEIIIdyQgEkIIYQQwg0JmIQQQggh3JCASQghhBDCDQmYhBBCCCHckIBJCCGEEMINCZiEEEIIIdyQgEkIIYQQwg0JmIQQQggh3JCASQghhBDCDQmYhBBCCCHckIBJCCGEEMINCZiEEEIIIdyQgEkIIYQQwg0JmIQQQggh3JCASQghhBDCDQmYhBBCCCHckIBJCCGEEMINCZiEEEIIIdyQgEkIIYQQwg2VoijKn10JIYQQQohrmfQwCSGEEEK4IQGTEEIIIYQbEjAJIYQQQrghAZMQQgghhBsSMAkhhBBCuCEBkxBCCCGEGxIwCSGEEEK4IQGTEEIIIYQbEjAJIYQQQrghAZP4y/n444/p06cPiYmJDB48mJ9++ul35c/KyqJt27ZMnz79CtXwj3M5bc3Pz+fZZ5/lxhtvJCkpiWHDhrFixYqrUNvf59dff2XYsGG0atWKG2+8kdmzZ+NuYYLFixfTv39/WrZsSb9+/fj222+vUm3/d7+3vRaLhdmzZ3PzzTfTunVr+vXrx4wZM7BYLFex1pfncq7tOTabjeHDhzNmzJgrXEshnEnAJP5S5s2bx1tvvcXQoUOZMWMGsbGxPPLII+zYseOS8iuKwv/93/9RVlZ2hWv6v7uctlosFsaPH8/mzZt55JFHeP/992nZsiWPP/44P/zww9WrvBu7d+9m8uTJ1K9fn+nTpzNo0CCmTp3KrFmzas2zcuVKnn76abp27cr7779Pp06dePbZZ1myZMlVrPnluZz2vvrqq3zwwQcMGzaMDz74gBEjRjBv3jxeeOGFq1fxy3A5bb3QnDlzOHjw4BWupRAuKEL8RZhMJqVdu3bKG2+8Ub3N4XAot99+u3LPPfdcUhmff/650r17d6VRo0bKe++9d4Vq+r+73LauXr1aadSokbJv3z6n7ffff7/Sv3//K1Xd323cuHHK8OHDnba9+eabSuvWrRWTyeQyT9++fZVHHnnEadujjz6q9OnT54rV84/ye9tbWFioNG7cWJk7d67T9rlz5yqNGjVS8vPzr2h9/xeXc23POXLkiNKyZUula9euyujRo69kNYWoQXqYxF/Gvn37KCkpoW/fvtXbVCoVN910E9u3b6eysrLO/Onp6bz99tu8/PLLV7qq/7PLbau3tzd33HEHiYmJTtvj4uJIS0u7onW+VBaLhW3btjm1DaBfv35UVFSwc+fOGnkyMjJISUlxmSctLY3Tp09f0Tr/Ly6nvaWlpYwcOZJevXo5bY+LiwOq3svXostp6zlWq5Wnn36aMWPGEB8ff6WrKkQNEjCJv4yTJ08C5780zomNjcVut9cZEDgcDqZMmcItt9xC9+7dr2Q1/xCX29YuXbrw0ksvoVKpqrdZrVbWrVtHw4YNr1h9f4/09HSsVqvLtgGkpKTUyFPX+agtz7XictobHR3NCy+8QEJCgtP2NWvWoNPpapR1rbictp4zY8YMrFYrjzzyyBWsoRC10/7ZFRDiUlRUVLBmzZpa04ODgyktLQWqelEu5OXlBVDnuKRPP/2U9PT0Sx5HcSVd6bZe7I033iA1NZX333//Mmr7xyspKQF+X9v+yPNxtV1Oe11ZvXo1ixcv5u6778bPz++PreQf5HLbun//fj766CO++OIL9Hr9la2kELWQgElcFwoKCnjqqadqTe/QoQNdunRxmab89vSNWu26Q/XUqVNMmzaN9957Dx8fn/+9sv+jK9nWi/d98803+eyzz5gwYQJ9+vS5vAr/wRwOB4BTL9iFXLWttjy/53z8WS6nvRdbtWoVTz75JO3bt+fJJ5/8Q+v3R7qctprNZqZMmcI999xDy5Ytr2j9hKiLBEziuhAVFUVycnKd+3zxxRcAlJeXO/3CrqioAHAZDNntdqZMmcLNN99M165dsdls1WkOhwObzYZWe3U/JleqrRc69yW0YsUK7rvvPv7xj3/8j7X+4/j6+gI1exvKy8uBmr0TdeU5dz5c5blWXE57L/Txxx/z5ptv0qFDB2bOnHlN98BcTlunTZuGw+Fg8uTJ1Z/Pc4GwzWZDo9HUGoAJ8Ue6dn92CfE7nRsImpqa6rQ9NTUVvV5PdHR0jTxZWVns27ePH374gebNm1f/BzBz5kyaN29ORkbGla/873Q5bT2ntLSUe+65h5UrVzJlyhT++c9/XtG6/l4xMTFoNBqXbQNo0KBBjTx1nY/a8lwrLqe9UBU0vPzyy7z++uv069ePuXPnVt/aulZdTltXr17N6dOnSUpKqv587tixgx07dtC8eXMWLVp0VeouhPQwib+MpKQkPD09Wb16dXXXvaIorFmzhg4dOrj85R0aGsp3331XY/ttt93G7bffzu23305oaOgVr/vvdTlthapf5A888AAHDx5k6tSp3HLLLVez2pfEYDDQrl071qxZw/jx46t7D1avXo2vr6/L2zKxsbFER0ezevVqpzatXr2auLg4IiMjr1r9f6/LaS/Af//7Xz7//HPGjh3LlClTrotelstp6wcffFBjMs7nn38egBdffJGoqKgrX3EhkIBJ/IV4eHgwbtw43n//fXQ6HUlJSSxcuJBDhw7x6aefVu+XnZ1NdnY2zZo1Q6/X13jE/pzQ0NBa0/5sl9vWL774gp07d3LHHXcQERHB3r17ncpt3br11W1ILSZNmsS9997Lo48+yvDhw9mzZw8ffvghTz75JEajkbKyMk6cOEFMTAyBgYEATJ48mX/961/4+/vTq1cv1q5dy8qVK5k6deqf3Br3fm97jxw5wty5c2nRogW33HIL+/btcyqvQYMG1+xtyN/b1saNG9co41xP2rX6+RR/UX/eFFBC/PEcDofy/vvvKz169FASExOVoUOHKuvXr3fa57333lMaNWqkpKen11rOtT5xpaJcXltHjRqlNGrUqNb/riU//vijMmDAAKV58+ZKr169lA8//LA6bevWrUqjRo2UhQsXOuX56quvlJtuuklp0aKFcssttyiLFi26yrW+fL+nvdOmTavzOm7duvXPasYluZxre6HRo0fLxJXiqlMpyiUu4COEEEII8Tclg76FEEIIIdyQgEkIIYQQwg0JmIQQQggh3JCASQghhBDCDQmYhBBCCCHckIBJCCGEEMINCZiEEEIIIdyQgEkIIYQQwg0JmIQQQggh3JCASQghhBDCDQmYhBBCCCHckIBJCHFdmDNnDo0bN2bGjBku02+//XYSExMpKiq6uhUTQvwtSMAkhLguDBkyBI1Gw5IlS2qknTp1in379tGrVy/8/f2vfuWEEH95EjAJIa4LoaGhdO/endTUVPbs2eOUtmjRIgCGDRv2Z1RNCPE3IAGTEOK6MXz4cAB++OGH6m0Oh4MlS5YQGhrKDTfc8CfVTAjxVycBkxDiutGzZ0+CgoJYtWoVFosFgM2bN5OdnV19y04IIa4ECZiEENcNnU7HoEGDKCoqYt26dcD523FDhw79E2smhPirk4BJCHFdOXdbbtmyZVRWVvLzzz+TlJREQkLCn1wzIcRfmQRMQojrSsOGDWnZsiUbNmxg7dq1mEwmGewthLjiJGASQlx3hg8fTkVFBW+//TZGo5Fbb731z66SEOIvTgImIcR1Z8CAARiNRjIzM+nbty/e3t5/dpWEEH9xEjAJIa473t7e9OjRA5C5l4QQV4cETEKI61JycjJRUVF06tTpz66KEOJvQAImIcR1Z9GiRaSkpDBy5EhUKtWfXR0hxN+ASlEU5c+uhBBCXIrx48eTmZlJSkoK4eHhLFu2TMYvCSGuCulhEkJcN4KDg8nKyqJFixbMnj1bgiUhxFUjPUxCCCGEEG5ID5MQQgghhBsSMAkhhBBCuCEBkxBCCCGEGxIwCSGEEEK4IQGTEEIIIYQbEjAJIYQQQrghAZMQQgghhBsSMAkhhBBCuCEBkxBCCCGEGxIwCSGEEEK4IQGTEEIIIYQbEjAJIYQQQrghAZMQQgghhBsSMAkhhBBCuCEBkxBCCCGEGxIwCSGEEEK4IQGTEEIIIYQbEjAJIYQQQrghAZMQQgghhBsSMAkhhBBCuCEBkxBCCCGEGxIwCSGEEEK4IQGTEEIIIYQbEjAJIYQQQrghAZMQQgghhBvaP+vAN6lHVP2PSv3bP6o6X3PuNYBK9VuS2uk1NV7/tp/qgriwulxV3Xkv/tdlXnUt293nVaqPS+15LnHfGumu0lQXbVdfvF/NvOfyXFz+xWW6ylu97dy/atfbLyWvcnHdLy7bqT2Xlsf5uBfnqe31RefSVV3clVXHPrXmvSDrJR/H1Tn6vXW9lDq7KfvS6qj8/uPWlvdCNfIqtZRxUfol5FXVked8/S/OU8vrOspVVf/rugynfS5+fVFe9UXbL2UfNa7Tnfa5OE+NvEqNvOqL970oT23pde/rqDP9wn00NfZxzqu5aLtTWnXei/M4v67a1+F0nOrX5+px0XE0uKhrLceprewL66apUTfHRWU4t+XCcqrzXFR+dZ0vqodzey6qa43tzv9WpV1URnV9zm1XXbT9/IdA/Vva+X1UTvuof8t1frv6gry/pYUfwx3pYRJCCCGEcEMCJiGEEEIINyRgEkIIIYRwQwImIYQQQgg3JGASQgghhHBDAiYhhBBCCDckYBJCCCGEcEMCJiGEEEIINyRgEkIIIYRwQwImIYQQQgg3JGASQgghhHBDAiYhhBBCCDckYBJCCCGEcEMCJiGEEEIINyRgEkIIIYRwQwImIYQQQgg3JGASQgghhHBDAiYhhBBCCDckYBJCCCGEcEMCJiGEEEIINyRgEkIIIYRwQwImIYQQQgg3JGASQgghhHBDAiYhhBBCCDckYBJCCCGEcEMCJiGEEEIINyRgEkIIIYRwQwImIYQQQgg3JGASQgghhHBDAiYhhBBCCDckYBJCCCGEcEMCJiGEEEIINyRgEkIIIYRwQwImIYQQQgg3VIqiKH92JYQQQgghrmXSwySEEEII4YYETEIIIYQQbkjAJIQQQgjhhgRMQgghhBBuSMAkhBBCCOGGBExCCCGEEG5IwCSEEEII4YYETEIIIYQQbkjAJIQQQgjhxv8cMP3444+MGTOmzn3mzJlDly5daN++Pa+99hoOh8Nt2vfff0/Tpk1JSkqq8V9FRYXL4+zbt48hQ4bQunVrRo0aRVpaWo19Pv74Y6ZMmfI/tPja8vnnn9OiRQun85Ofn+9y32vhOvz000/079+fNm3aMGzYMHbt2vUHno2r71Lecw6Hg1deeYWOHTvSuXNn5syZc0lp06dPp3nz5jXOe69evS6pbikpKYwaNYqkpCQGDx7MgQMHLintevXGG2+QmJhYfZ46duxYY5+reS3Wr19Pv379aN26NQ888AAFBQXVaQsWLKBPnz60bduW0aNHc+LEiT/oLFw76vpbe61ch3P+85//MH369P+htdeuuq5DWVlZjb/vH3/8MSDXwSXlMtntduXTTz9VEhMTldGjR9e635o1a5Q+ffoomZmZSl5enjJ06FBlwYIFbtMWLlxYZ7kXq6ysVLp27aosWbJEMZvNyvTp05U777yzOt1sNitTp05VmjRpojz99NOX2eprzzPPPKN8/PHHbve7Fq5DWlqa0qZNG2Xbtm2K3W5XFi9erHTo0EEpLS39/Q2/Brh7z53zySefKCNGjFAKCwuVlJQU5cYbb1Q2b97sNu2999675Pdqo0aNamwbMmSIMnv2bMVisSjfffedcuONNyo2m81t2vVq7Nixyo8//ljnPlfjWiiKouTm5ipt2rRRtm7dqlRWVirPPPOM8uSTTyqKoii7du1SOnXqpCQnJys2m02ZNWuW0rdv38ts9bXnUv7WXgvXQVEUpaSkRPn3v/+tNGrUSHnvvff+h1Zfey7lOuzcuVMZOHCgyzS5DjVddg/T1KlTWbFiBWPHjq1zv2XLljFy5Ejq1atHcHAwEydO5Ntvv3Wb9ntt3boVf39/Bg4ciF6vZ9KkSRw/fpyTJ08CMGXKFI4cOcKIESMuq/xr1dGjR2ncuLHb/a6F65CVlcXtt99Ohw4dUKvVDBo0CKjq7bgeuXvPnbNs2TLGjRuHv78/sbGxjB49mgULFrhN+1+cPHmStLQ0xo8fj06nY/jw4Xh5ebFp06Y6065nR48epUmTJnXuc7WuxZo1a2jXrh0dO3bEYDDwj3/8g5UrV1JWVkZOTg7jxo2jUaNGaDQa7rrrLlJSUigsLLysY11rLuVv7bVwHQDuv/9+LBYLffv2vazyr2WXch3q+szIdajpsgOmMWPG8PXXXxMXF1fnfqdOnSIhIaH6dXx8fHX3c11pv9fp06edytJoNERHRzsFTLNnzyYkJOSyyr8WORwOjh8/zieffEKXLl0YNGgQ69atc7nvtXAdOnTowNNPP12dtnfvXkwmk9v30LXK3XvunCt17ufMmUO7du1o164dQPX/L126lFOnThEbG4tGo3Eq++TJk3WmXa9yc3MpKiri1VdfpVOnTtx+++3s3bu3xn5X63NwcVkBAQF4eXmRmprKLbfcwv3331+dtn79ekJCQggICLisY11rLuVv7bVwHQDee+89Xn/9dby8vC6r/GvZpVyH5ORkUlJS6NevH926deP111/HYrEAch1c0V5uxtDQ0Evaz2QyYTQaq197eHhQWVnpNg1g165d1V8G53Tr1o2pU6fWOE5FRYVTWefKM5lMv6u+15PCwkJatmzJqFGj6Ny5M5s2beLxxx9n4cKFTm9OuHauwzmpqak8/PDDPProo3h7e//Oll8bLrWtJpMJDw+P6tdGo9Hp3NeWBlW/8n766Sen8m6//XaeeuopJkyYwIQJEwBo3LgxO3furN5n8eLFTuWeK9tkMlFRUVFr2vWqsLCQDh06MGHCBJo3b87ixYuZOHEiq1atcgpErtS1uJjJZMLHx8dpm6v3xr59+3juuef4z3/+cxmtvjZdyt/aa+U6/BW/F865lLZ5enrSoUMHJk6cSGlpKQ8//DCzZ8/m4YcfluvgwiUHTM899xxLly4FoG3btsybN++S8hmNRsxmc/Vrk8mEp6en27Rzx/nss89clnvfffdVDxgeOHAg8fHxThfzXHnXesT6e118HS48PzfeeCMdO3Zk48aNNQKma+k67N+/n4kTJzJq1CjGjx//u9p/Lbk4sATX77mL/9BUVlY6nfva0gAGDBjA66+//ofU7VzZdaVdrxo3bsynn35a/XrEiBHMnz+f3bt307t37+rtV+pa9O/fnzNnzgAwceLES3pv/PLLLzz55JNMmTKFW2655XKafd26lq7D39mFg8F9fHyYMGECs2bN4uGHH5br4MIlB0wvvfQSL7300u8+QEJCgtMYldOnTxMfH+82zZ2LA7b169ezaNGi6td2u520tLRLLu96ceF1OHHiBLNmzeKBBx6oTrdYLBgMhhr5rpXrsGHDBh577DGmTJly3Y8nS0hIuKT33Lnz27BhQ8D1uXeV9r/WLT09HYfDgVqtri57+PDhREZG1pp2vdq1axfJycmMGjWqepurz8KVuhbLly93ev3FF1+wcePG6tcFBQWUlpYSExMDwMKFC3nttdd455136Nmz5+9r7F/AtXId/u7ee+89hg4dSnR0NOD8mZHrUNMVn4epf//+fP7556Snp5Ofn8/s2bMZOHCg27Tfq2PHjuTn5/PDDz9gsVj44IMPiImJoX79+n9kc64p3t7ezJo1i9WrV+NwOPjxxx/Zv38/ffr0qbHvtXAdUlJSeOSRR3j11Vev+2AJLv09179/f+bMmUN+fj5paWl8/vnnTue+trTfIzk52el1gwYNCA8PZ/bs2VgsFr7//nsKCwvp1KlTnWnXK71ez1tvvcXOnTux2WzMnz8fi8VC+/btnfa7GtcCoE+fPuzYsYNNmzZhNpuZOnUqvXr1wsvLi507d/Lyyy8zd+7cv2WwBNfGdRBw+PBh/vvf/2IymcjMzGTOnDnVD+PIdajpsscw1eW+++6jXbt2PPDAA/Tt25fU1FRGjx5NZWUlQ4YMYfTo0QB1pgHs3LmTpKSkGuXPnTu3xpgao9HI7Nmzef7553nxxRdp2rQp06ZNuxLNu2aEh4fz7rvv8vbbb/P0008TExPDzJkzCQoKAq696/DNN99gMpmYMmWKU1ewq3KuB3W1tX///kycOJFBgwYxZswYcnNzGTRoEIqiMHbs2OrbRHWlASxdupTVq1fXOPby5cupV69enfWbMWMGzzzzDHPnzq1+b5z79VhX2vUoMTGR559/nn/961/k5eXRpEkTZs2ahcFg+FOuRVhYGFOnTuWVV14hOzubdu3aVd++mD9/PmazmXHjxrkt56/kWrsOf1cXXof//Oc/vPjii/To0QONRsPIkSO58847AbkOrqgURVH+7EoIIYQQQlzLZGkUIYQQQgg3JGASQgghhHBDAiYhhBBCCDckYBJCCCGEcEMCJiGEEEIINyRgEkIIIYRwQwImIcQ1RWY6EUJciyRgEkJcM06cOFE9cd7/KiMjg8aNG/P999//IeUJIf7ershM30IIcTlWrlzJnj17/pCyQkND+eabb6679aqEENcmCZiEEH9Jer2e1q1b/9nVEEL8RcgtOSHEVXXo0CHuuece2rZtS1JSEmPHjmXfvn1Mnz6dGTNmANC4cWOmT59e/f8zZsxg+PDhtG3blpkzZwKwY8cOxo8fT/v27WnRogW9evVi+vTpOBwOoOYtue+//55mzZqxb98+7rjjDhITE+nZsydz5879E86CEOJ6IwGTEOKqKSsr47777iMgIID33nuPqVOnYjKZGD9+PMOGDeO2224DqhZqHjFiRHW+Dz74gH79+vHf//6X3r17c/ToUcaOHYu/vz9Tp07lgw8+oE2bNsyYMYPly5fXenyHw8Fjjz3Grbfeypw5c2jbti1vv/02GzZsuOJtF0Jc3+SWnBDiqjlx4gQFBQWMGTOGtm3bApCQkMDXX3+NWq0mPDwcoMattJYtWzJhwoTq1z/88ANdunThrbfeQq2u+t3XtWtX1q1bx44dOxg4cKDL4yuKwuTJk6uDsbZt27JmzRrWrVtHt27d/ujmCiH+QiRgEkJcNQ0bNiQwMJBJkyZxyy230KNHDzp37sxTTz1VZ75GjRo5vR4yZAhDhgzBbDaTlpZGamoqhw4dwm63Y7Va6ywrKSmp+v/1ej2BgYFUVFRcfqOEEH8LEjAJIa4aLy8vvvjiCz744ANWrFjB119/jYeHB4MGDeKZZ56pNV9wcLDT68rKSl5++WUWL16MzWYjKiqKpKQktFqt23mcjEaj02u1Wi1zPwkh3JKASQhxVSUkJPDWW29ht9vZv38/ixcv5quvviIqKuqSy3jllVdYvXo106ZNo0uXLnh6egLQuXPnK1VtIcTfnAz6FkJcNatWraJTp07k5eWh0WhISkrihRdewNfXl+zs7OrxSO7s2rWLjh070qdPn+pg6eDBgxQUFFQ/JSeEEH8k6WESQlw1bdq0weFw8OCDDzJhwgS8vLxYuXIlpaWl9O3bl+PHjwOwbNkyWrVqRXR0tMtyWrZsycqVK/nqq6+oX78+R48e5YMPPkClUmEyma5mk4QQfxMSMAkhrprQ0FDmzZvHu+++yzPPPIPJZKJhw4ZMnz6dTp06ER8fz+LFi5kyZQq33XYbL7zwgstypkyZgtVqZdq0aVgsFqKiopg0aRInTpxg7dq12O32q9swIcRfnkqR0Y5CCCGEEHWSMUxCCCGEEG5IwCSEEEII4YYETEIIIYQQbkjAJIQQQgjhhgRMQgghhBBuSMAkhBBCCOGGBExCCCGEEG5IwCSEEEII4YYETEIIIYQQbkjAJIQQQgjhhgRMQgghhBBuSMAkhBBCCOHG/wM2hV8PltOP4AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "secvis = opst.FiberSecVis(input_file=\"RespStepData-1.hdf5\", opacity=1, colormap='viridis')\n",
    "secvis.resp_vis(ele_tag=1, sec_tag=1,\n",
    "                step=None,\n",
    "                show_variable='strain',\n",
    "                show_mats=[1, 2, 3],)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "stress of rebars by matTag 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:03.769240Z",
     "iopub.status.busy": "2023-05-06T12:33:03.769240Z",
     "iopub.status.idle": "2023-05-06T12:33:03.917938Z",
     "shell.execute_reply": "2023-05-06T12:33:03.917938Z",
     "shell.execute_reply.started": "2023-05-06T12:33:03.769240Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "secvis.resp_vis(ele_tag=1, sec_tag=1,\n",
    "                step=None,\n",
    "                show_variable='stress',\n",
    "                show_mats=[3],)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generate animated gif files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:03.918938Z",
     "iopub.status.busy": "2023-05-06T12:33:03.918938Z",
     "iopub.status.idle": "2023-05-06T12:33:22.166344Z",
     "shell.execute_reply": "2023-05-06T12:33:22.166344Z",
     "shell.execute_reply.started": "2023-05-06T12:33:03.918938Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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lJbi6uqoc5+LiAkBUVBStWrUCwM7OjuPHj2Nra/uX9LV6meVc5p8o75qU5Ys8d6hZWVd23Ktc3pVJSUlBKpXi7e0N/HPfVyhtur537x4HDx6sNBB7++23mTlzJvv376dDhw6EhISwd+9e+vXrV2l6/9++r4JQRgSSwitPIpHQt29f9u3bx8SJE8v/6KalpWFhYfFCadW2mVCd4OBg1q5dS6dOndS+mBQKBREREUilUiZPnsy4ceO4e/cuy5YtIzIykq1bt5YPMpk5cyZt2rRhxYoVREVFsWjRImJjY9m2bZtKf8r4+Hh8fX0rvd6ECRMYN24ccXFxdOzYUWXfihUrWLFiBQBBQUFMmjQJqPhCNjAwAFAZlGBqavoCT+bFvcxyLvNPlHdNyjI7Oxuo2XOvSVkD/7ryfl5CQgJ79uzhww8/LA+U/onyg9Jn/tVXX/HVV19hbm5e6THdu3fnypUrTJ06tXxbq1atmDlzZqXp/X/7vgpCGRFICv8K/fr1Y/ny5Vy/fp2goCBSUlKwsrKqVVpVjQqVSCRoaGigUChQKBQq+57vFH/jxg3ef/99nJ2dWbBggdo0lUolq1evxtLSEg8PDwCaNGmCpaUlU6ZM4fz585SUlADg6+tbnlbz5s0xNjZm0qRJXLx4kdatW5enaWVlxcqVKyu9no2NDVBam7N79+7y7WPHjqV9+/YMHjwYKH35ZGRklN93ZZ4NXv8OL7Ocy1RX3hKJpNqyhpqXd03KUl9fv/z6lXn2udekrOHfV94PHz4sH1RTXFxMcXExCxcupFGjRirH/RPf15kzZ9K2bVu6du2q9rixY8cSHBzMlClTCAgIIDw8nGXLljFhwgSWL1+u8oz/v35fBQFEICn8Szg7O9OgQQP27dtHUFAQZ86coU+fPi+cTmW/+p8VFBTEli1bWL58eYVRluHh4eX/PnToENOnT8fNzY3169dX+etfQ0Oj0ik+2rVrV56uu7s7UDqq9VllwWNYWJhKIKmtrV3tQIHnj9HW1sba2lpl28OHDwEqTIeSl5cHVN10+Fd4WeVcpiblHRQUVGVZw4uVd1ntUFVlWbavJs+9JmVd2XGvenk7ODgwefLkKo/5J76vP/30E+Hh4Rw4cKA8iC2bWkcmkyGVSgkJCeHChQvMnz+fQYMGlefFycmJMWPGcObMGZXy///6fRUEEIGk8C/Sr18/vvvuO2bPnk1xcTE6OjovnMbzv/qfVxYEDB48uDzQe966detYuHAhTZo0YcWKFRU63D8vKSmJs2fP0qZNG5XRn4WFhUBpB/2yprzi4mKVc8teZLUdbFIdZ2dnNDQ0ygc3lCn7f09Pz7/kulV5GeVcpiblbWBgoLas4cXLuyZl+U8991exvKvyT3xfjx49SkZGhkof1TK+vr6MHz++fMBOw4YNVfY3adIEKA34nv8h8TL828pP+G8QgaTwr9GjRw8WLFjA8uXLq3zxAyxbtgxNTU28vLxYtWoVQ4cOpX///jWu3bGxsVFpNiyzfft2vvvuO7p37863336LtrZ2tWkVFxcza9Ysxo0bx4QJE8q3Hz58GKlUSqNGjXBzc8PBwYFDhw6pjEQ9efIkUDoQ5a+go6ND48aNOX78OKNHjy5vMjt69CjGxsYEBAT8JdetyouUM8CRI0f4/PPPmTFjBv369ePdd9/F29ubSZMmvVB5V6Y25e3h4VFtWf5Tz/1VLO+q/BPf17lz55bX8JVZvnw5oaGhrFy5Emtr6/KJ5W/cuFHeXQVK+2ACODo6Vnud2vi3lZ/w3yACSeGV9uwUHcbGxrRv355jx46VzwsHpc1Oz6/q4OfnR7t27Th69CiOjo7079//T+clJSWFr776CgcHB4YNG8b9+/dV9js7O2Nubk5iYiKJiYn4+Pigra2Nk5MTffv2Ze3ateWDB27evMmqVat44403ypu1p06dysSJE5k4cSKDBg3i8ePHLFq0iK5du1aYU6+4uJiQkBC1ea1Tp055P7wyZaOHnzd27FhGjhzJhAkTGDBgALdu3WL9+vVMnjz5L6sJfV5tyxmgW7duPHr0iKKiIgB69uypduTsi6hteUskkhqVZU2fe23KGl7t8q5qFZaXpbblV/Z9fJapqalKUGtjY0PXrl35+uuvycrKon79+kRGRrJ06VJ8fX3p3Lmzyvn/376vgqBCKQivoJMnTyoHDhyorFOnjnLgwIHKkydPKpVKpfLcuXPKVatWKZVKpTI6Olr54YcfKps0aaKsU6eOcujQocrNmzeXpxEbG6t87bXXlDk5OcqMjIw/naddu3Yp69Spo/a/PXv2KJVKpfKHH35Q1qlTRxkbG1t+bmFhoXLZsmXKLl26KP38/JQdO3ZUrl69WimTyVSucerUKeWAAQOUfn5+ypYtWyq//vprZVFRkcox06ZNqzIfderUUd65c+eF7u3YsWPKXr16KX19fZUdOnRQrl+/vsrjr1y5oqxTp47yypUr1ab9ww8/KIcNG1bpvpdRzkqlUpmWlqbs37+/MjY2Vnnt2rWa3HK1/kx5K5U1K8vqnvtfUdY1ue7zalreVZW1UqlUnj59Wvnuu+8qfXx8lD4+Psp3331XeezYsRfOf0382fJ71rRp05Tt27dX2VZUVKT83//+p2zfvr3S19dX2blzZ+U333yjzM3NrXDuv+n7KggvSqJU/g0/DQXhbyaTyRgxYgTTpk3D39+fXbt2lXeKF/5eS5cu5dq1a2zZsuUvvc6MGTPQ0tJi3rx5f+l1BPX+rrIWBOHVIZq2hf+Xli9fjoGBAbGxsRw7dqzaDvbCv9/QoUMrjLYWBEEQ/loikBT+X3p2UEuPHj3+wZwIf7UbN25Qt25d4uPj/9RUQYIgCMKLE03bgiD8qy1evBh7e3s8PT0rTGYtCIIg/LVEICkIgiAIgiDUilhPSRAEQRAEQagVEUgKgiAIgiAItSICSUEQBEEQBKFWRCApCIIgCIIg1IoIJAVBEARBEIRaEYGkIAiCIAiCUCsikBT+k4KDg7l27do/nQ2hlkT5CYIgvBpEICn8J929exdvb++/9ZoJCQk0btyYq1evVnusQqFg/fr1dO7cGX9/f7p168amTZt4ftrXkJAQhg8fTmBgIC1atGDatGmkpaWV758+fTp169ZV+1/Tpk1rlPdz587Rv39/6tevT/v27Vm9erVKXgoKCvD29q6Qvr+/f5XpLl26lOHDh9coD8/6J8qvjCjHimpbjrX1ImUAsHPnTnr27ElgYCDdu3fnp59+qlAG8PeUQ3VlUNO8CMKrQiyRKPwn5ebm/q3rb8fHxzN69GhycnJqdPzXX3/Npk2beP311+ncuTOxsbEsWbKE+Ph4Zs6cCUBoaChvvfUWzZs3Z9myZSQnJ7No0SI++OADtm/fXp6WlZUVy5Ytq/Q6mprV/wkIDg5m3LhxdO/enYkTJ3Lz5k0WL16MQqFg7NixAISHh6NQKFi0aBEODg7l50qlf81v1b+7/MqIcvznvWgZ7Nq1i1mzZjF8+HA6duzItWvX+OKLLygsLGT06NHlx/0d5VCTMniRvAjCq0AEkoLwF1IoFOzdu5dvv/22xuekp6ezdetWBg8ezNy5c8u329vb8/777zNkyBA8PDz49ttv8fb2ZsWKFWhoaABgaGjIggULiI2NxcnJCQBtbW0CAwNrfQ/Lly+nXr16fPfddwC0adMGmUzGmjVrGDlyJLq6uoSFhaGlpUWXLl3Q0tKq9bVeVaIc/3m1KQOAPXv20LBhQz777DMAmjdvTlRUFD/99JNKIPl3lENNyuBF8iIIr4JX52emIPxNcnJyMDY2rtGxcXFxVTZlVdecFx4ezpw5c+jXr1+NX4BRUVHI5XLat2+vsr1JkyYoFArOnz9PRkYG165dY+jQoeUvGoAuXbpw9uzZl/aiKS4u5urVq3Tp0kVle9euXcnPz+fGjRsAhIWF4enp+bcEHy9SfvDnyxBEOf6Valo+tSkDKL3352uvzczMyMzMLP//v6McaloGf9dnQhBeFlEjKfxnnDhxgosXL5KRkYGdnR1ffPEFb731Fi4uLmrPsba2ZseOHWr3GxoaVnlNOzs7jh8/jq2tbY37c5mbmwOlTXjPiomJAUpfvOHh4SiVSiwsLPjkk084deoUAB07dmTWrFmYmJionCuTySq9loaGBhKJRG1eYmNjKSkpwdXVVWV72TOLioqiVatWPHjwAKlUysiRI7l16xba2tp069aNqVOnVvuMaqo25Qd/vgxBlOPLKsfCwkJ27NjB48eP0dHRYfTo0TUun9qUAcDbb7/NzJkz2b9/Px06dCAkJIS9e/fSr1+/8mP+jnKoaRm8aF4E4Z8mAknhP2HevHmYm5sze/Zs1q5dy6hRo0hJSeH9999ny5Ytamu4/mxzoqmp6Quf4+rqSsOGDVm2bBm2trY0a9aM2NhYZs2ahba2Nvn5+aSnpwMwc+ZM2rRpw4oVK4iKimLRokXExsaybdu28n5t8fHx+Pr6VnqtCRMmMG7cOLV5yc7OBioGWwYGBkBpX0WFQkFERARSqZTJkyczbtw47t69y7Jly4iMjGTr1q1/uo9dbcsP/nwZgijHl1GOWVlZDBs2jP79+6s09QM1Kp/alAFA9+7duXLlClOnTi3f1qpVq/I+qsDfUg41KYMXzYsgvApEICn8v7d27VpSU1OZPXs2UFqboKmpiZ2dHa6urpw6dUqlduJ56mofACQSCRKJBIVCobK9JoMfqrJ06VJmz57N+PHjATA2NmbKlCmsWLECfX19SkpKAPD19WXBggVAad8vY2NjJk2axMWLF2ndujVQOjhg5cqVlV7Hxsam/N8KhaLCfZT9v7paFqlUilKpZPXq1VhaWuLh4QGUNt9aWloyZcoUzp8/T9u2bWv7KP50+ZWdo45EIkFDQ6PS+/+3laO6e3gVynHOnDnY2toycuTICvtqUj61NXbsWIKDg5kyZQoBAQGEh4ezbNkyJkyYwPLly5FIJH9LOdSkDIAXyosgvApEICn8v1ZYWMjKlSvZvHkzUNpPSUdHp3x/UVFReQ1AZeLi4ujYsaPa/UFBQQQFBVUYxRkeHv6n8m1pacmKFSvIzs4mOTkZZ2dnpFIpc+bMwcTEpLwW4/n+d2UvmLCwsPJ/a2trVzt9C5QOBHj+Pg4ePAj8UVtSJi8vDyitXdHQ0Kh02pN27doBpc+itgHIny0/qFkZbtmypdL7/7eVo7p7KKux/afKMSkpicOHD9OuXbvy4KhNmza0bt26xuVTG8HBwVy4cIH58+czaNCg8vScnJwYM2YMZ86coX379n9LOdTkuwS8UF4E4VUgAknh/7WIiAgUCgV+fn4A3Llzh4CAAKC0FiQkJIQxY8aoPd/a2prdu3er3W9gYICBgUH5y/ZlOXToEB4eHtSrV688CLh79y5yuRwfH5/yflXFxcUq55XV7JSN/nwRgwcPrnAfzs7OaGhoEB0drbK97P89PT1JSkri7NmztGnTBltb2/JjCgsLgdKBDbX1Z8sPalaGUPn9/1l/dzmqu4d/uhyfPn0KwNy5c1XShpqXz5+5bsOGDVW2N2nSBICHDx/Svn378n6Lf2U51KQMgJeeF0H4q4lAUvh/zdjYGD09vfL/v3PnDm+++SYAu3fvpn79+ly8eJGrV6/i5eXFqlWrGDp0KP379wdqXpv3bBPxy7By5Urq1KnDokWLyrdt3LgRY2NjmjZtioGBAQ4ODhw6dEhl1PHJkycBaNy48Qtf08bGptL7aNy4McePH2f06NHlzXJHjx7F2NiYgIAAUlJSmDVrFuPGjWPChAnl5x0+fBipVEqjRo1eOC9lalJ+DRo04MiRI3z++efMmDGDfv368e677+Lt7c2kSZNeqAz/7eWo7h50dHT+0XJ0dHQsbz5/Xk3Lpzbc3d0BuHHjRnlzPZTWVJblC8DDw+NvKYfqyuCvyIsg/NVEICn8v+bq6kq9evU4f/48rVu3prCwEB0dHY4ePcpvv/3G0qVLCQ4Opl27dhw9ehRHR8fyIPLvkpiYSGJiIj4+PmhrawMwfPhwPv/8czw9PWnYsCGHDx/m4MGDzJkzp7wJbOrUqUycOJGJEycyaNAgHj9+zKJFi+jatSs+Pj7l6RcXFxMSEqL2+nXq1EFfX1/t/rFjxzJy5EgmTJjAgAEDuHXrFuvXr2fy5Mno6uri5ORE3759Wbt2bfnAlps3b7Jq1SreeOON8pd5bdSk/AC6devGo0ePKCoqAqBnz57V9pt82UQ5qmdlZcWQIUPYt29f+cTb169fL68ZfJmeLQcfHx+6du3K119/TVZWFvXr1ycyMpKlS5fi6+tL586dgdJ+i39HOVRXBi+aF0F4FUiUlf1EFIT/RzIzM1myZAlmZmbcvn0bX19fLCwsGDp0aPkLPy4ujo8++ojNmzcjk8lqPUK0KlevXuWtt95i8+bNKn3Rli5dyrJlyzh58mR5DQnApk2b2Lp1KykpKbi5uTF69Gh69eqlkubp06dZvnw54eHhmJiY0Lt3bz7++OPy+5o+fTp79+6tMl+7d++utkbo+PHj/PDDDzx58gQbGxvefPNNRo0aVb6/qKiIdevW8euvv/L06VNsbGwYPHgwo0ePrnKgxNKlS7l27VqVfeBqUn5QOtr13XffZcmSJSQkJPwlQQqIcqxMTcpRoVCwe/dusrOzUSqVBAUFUb9+/Srzq466MijLy7PlUFxczMqVK9m/fz/JycnY29vTqVMnPvjggwrN5n9HOVRXBjXNiyC8KkQgKfxn3Llzh5ycHFq2bKmyXSaTMWLECKZNm4a/vz+7du0q75gv/LVqEoCUUVd+z5oxYwZaWlrMmzfvZWZTqMaLlKMgCP+/iMmohP+MGzduVNrPa/ny5RgYGBAbG8v3339PRkbGP5A7oTrqyu9ZQ4cO/cv62wmCIAgViT6Swn9GSUlJpSMenx1Y0KNHj78zS8ILUFd+UBpk1q1bl/j4ePr06fM350wQBOG/SzRtC4Lwr7d48WLs7e3x9PT8U6OLBUEQhBcjAklBEARBEAShVkQfSUEQBEEQBKFWRCApCIIgCIIg1IoIJAVBEARBEIRaEaO2/0NSUnL+6Sy8cqRSCebmBqSn56FQiO7ClRHPqHriGVVNPJ/qiWeknpWV0T+dBaEKokZS+E+TSiVIJBKkUsk/nZVXlnhG1RPPqGri+VRPPCPh30oEkoIgCIIgCEKtiEBSEARBEARBqBURSAqCIAiCIAi1IgJJQRAEQRAEoVZEICkIgiAIgiDUiggkBUEQBEEQhFoRgaQgCIIgCIJQKyKQFARBEARBEGpFBJKCIAiCIAhCrYhAUhAEQRAEQagVEUgKgiAIgiAItSICSUEQBEEQBKFWRCApCIIgCIIg1IoIJAVBEARBEIRaEYGkIAiCIAiCUCsikBQEQRAEQRBqRQSSgiAIgiAIQq2IQFIQBEEQBEGoFRFICoIgCIIgCLUiAklBEARBEAShVkQgKQiCIAiCINSKCCQFQRAEQRCEWhGBpCAIgiAIglArIpAUBEEQBEEQakUEkoIgCIIgCEKtiEBSEARBEARBqBURSAqCIAiCIAi1IgJJQRAEQRAEoVY0/+kMCMLzcnNzyM3NxdDQCENDw5eeflZWJgkJCejp6eHu7van05PJZKSmplBSUoK5uQUGBgYvIZf/v+TkZJOVlYWBgQGmpmZIJJI/nWZCwlMyMzOxtLTCysrqJeTyD0+fxpOeno6RkRHOzi4vJb9Q+hxiYmKQSqW4ubmjq6v7UtIFyMhIJzExEUNDQxwdnV5KnrOzs8jOzsbIyAgTE9M/n8n/J9LT00hKSsLIyAgHB8eX9vkoU1JSQkZGBhoaGpiamqKhofGn05TJZMTERFFSIsPR0Un8nRJeGhFICq+EgoIC9u//hZWrV/Hg/l20dfQoLi4gMLAJ748ZQ8+efdDW1v5T17h//x4Lv/+OY8cOo2dgSnFRPjY2Nkyd/DGDBw974fQSExPYuOlHNm7cQF5eLhoamhQXF9K5c3fGvDeG5s1bvvQXzL9JSUkJR44cYuXq1QTfvIqOrj7Fhfm4unvx/ntjGDBgcK1+KBw8+Cv/++F/hD+4j66+MQV5mTQJas7kSZNp2bJ1rfMrl8vZvXsHK1ev4lHkQ/QNTSjMz8HG1o7333uPN998Gx0dnVqlHRn5kMX/W8SBA3vRMzBFoZAjLynkjTeG8+H4CdjY2NQ63yEhwSz8fiFnzpxAz8CUosJcnByd+XD8hwwZ8sYLfwaLior49de9rFy9ivv37qCjq09RYT7ePv6Mefc9+vUb8FID4H+TGzeusfD7hVy4cKb0WRfk4OLqzkfjP2TgwCF/+vseHBzMt98tZu/e3QAoFAoMDI14a/gIRo4YhaOj0wunmZ+fz4oVS/lxw3oKi4rQ0NCiuCifgQOHMOnjT3BwcPxTeRYEiVKpVP7TmRD+HikpOf90FioVExPNgIGvUYwudr7dsPVsilRDC3lJEU8jLpJw7wjmRjrs2vlLrV+4Fy6cY/hbb+AU0BMn/67oGJiiVMhJjrpF1PXttGgSyOpV65BKa9bb4+zZ04wc9RZWbo2x9+2Kqa0XEomEovxM4kJPEh96hL59+vDtNwtrXJsgk8mIj48DwMHBEU3Nmv/OS01NJTu7tHbO2NjkT6erUCi4cOEcT548xsLCnMGD+1NcDDKZokb5ychIZ+gbQ4hNSMXOrzsOdVujoaWDQiEn+fF1Eu4dRVmUzi+79+Lu7lnj+/z6my9Z9+OPuDd9A7s6LdDQ1KakKJ/4sDM8vraDBfO/5M03htc4vTLFxcWMGv02wXfCcGrwGnZezZBqaJV+Rp7cJCZkPw6WhuzauQcjI+MK52tqSjEzMyAjI6/CM7p69QpD3xiEnU8nnP27oWdcWnuanRpNTMgB8pLucfDX33Bzc3/hfB879hvvjXkHl4av4eTXCW09YxQKOUmPrvPk2ja6d27Pou+X1DjASUpKZMDA18gqUGDv2w1brxZoaGqhkJeQ8PAKCfeOYKAtZ8+uvdjbO9Q4n3J5CVevnufx42hsbe1p165jjT6HKSkpREc/QV/fgHr1vFW+n0qlkgcPwsjNzcHZ2bVGfxtkMhnnzp0mNjYWCwtLOnXqUuOg+ODBX/ngw7G4NR6Ao28ntHUNUchlJD66ypOr2+jXuydff/VtrYJJhULB/Plz2LBpIw6+nXH064y+sTUAWUmPiA89SsLDS3y/8H8MHDi4xunm5eXR77XepOQocG08CDP7ekgkEvIyEogOOUBmzA0OHfwNDw+vF87z38nKyuifzoJQBRFI/oe8ioFkcnIynTq3w9S9DR5Bgyr9I6xUKgg/vxFFxgOOHT1ZIVCqTm5uDvUDfanXfhw2HkEV9suKC7i5dzYff/Ae77wzptr0goNv0H9AX/y6TMTarVGlxxQXZHPr1/n06d6Rr778psr0ioqKWLZsCet/XEd+fj4Aevp6jBoxmg8/nFjli+7cuTN8u/Bbbt28jq6+IUUFeXTq3I1pU6fj5ubO0qX/48eN6ynILwBAX1+f0aPfYfwHE9TWrl28eJ4Pxo+jsESBiY0nRbmpZKVEM3XqdN4f80G1L8rCwkJ69elOjsIM7w5jkUorBtJKpZInN/eREn6MUyfOYmNjW2WaUBq8j3p3NEGDvkLPqGJTdnbKE67vmcXJE2fx9HyxF+PHkyZw6mIwgb1moqFV8bkoFHLuHVuCq40Ou3bsqbBfXSCZkZFOk6AGeLV+F7s6LSq99uPreyiIv8rlS9dq/EMGSn88NG5Sn4DuU7F09q+wv7gwlxu7ZzJv9qcMHjy02vSys7Po3LUjGube1G31NhJJxbwolUoeXtpKUdJtjh87iampWbXpbtv+E7Nnf4qesTV6JnbkpsUgL85l4bff06tXn0rPefz4EZ/Pmc2ZMycwNrOlMD8HY2NDPp7wMcOHj2Dnzm18t/A70jMy0DMwITs9kVat2zF3zjzq1KlbaZonThxlwsSPUGroYmTpSkF2Ernp8cyeNYcRI0ZXeQ+JiQk0bdaIBr0/xdzBu8L+ovwsru+eycKvv6RPn9eqfSbPmztvNtt376dBn1noGppXekxGQgQhB79k6ZJlap/b8z6Z8jFnroYR0O0TJJV8D5/c3EfR06tcvHDllW49EYHkq00Ekv8hr2Ig+cnkj7lwOwbfjh9UeZxSqeTOb98xoHtLZs6Y9ULX2LhxPUvWbKVBH/XnJT8J5unNLdy8HkJeXh779/9CeEQ4OtratGvXgRYtWpX/oe3StRMy8wa41u9e5XWL8jI5v2U8p0+eVfuLv6ioiIGD+xOTmI1b0OuY2dcDICMhnCfXtuNoZcCeXXsrDSa3bf+JmZ/OwL3pUBzqtUFTW4+i/Exi7xwl9s4hnJycySrSwj1oCKZ2pS/XjKcPeHJtOy52JuzasadCMHnr1k1e69+Heu3fx86rRfk9Z6dGc+fwt0wcP45x4z6s8r43bFjH4pUbaNRvTqUvr2fdO7WKVgH2fL/wf0Bp/9UdO7Zx6/ZtpBIJTYOC6N9/EIaGhgwZOohkuQNuDdW/RB+cXUfbBo589eW3VV73WYmJCTQJCqTNiJXo6JuqPU4uK+bchjHs37ufgIBAlX3qAskVK5fy47ZDBPSYqjZdpVLJ5Z8msHzJIjp27FLjfC9Zsoite0/i3+0Ttcc8Db9AQdRxzp4+T2FhIQcO7OPc+fOUlJTgXa8eQ4cOw9q6tObru+++Ztuvp6jfY1qVQUXpd3EhA3u0ZMb0z6rM4549u5gyfSr1u08p/2wrlUpSY+4QenQR69f9SIcOnVXOiYx8SPeeXbCp2wHXBr3R1jNGqVSQGn2biPPr8XJ3ITzyEXVav4O1W0MkEinFBTlE3z7M09DfOPDrb/j4+KqkefHied4cNhTfzh9h7dao/P4yEyO589u3zJk1m/btO7Bx04+cPHWK4uISfH28GT3qXZo0CeK7hV+z+8gV/DpPUHuvsfdOIU25ytEjx6t8Js97+DCCTp3b03LYErVBZJnUmDuEnfgfoXfDq+1mkZ2dhZ9/PVq8sQh9k8pra5UKORc2f8DmDRto3rzlC+X77yQCyVebCCT/Q161QDI3Nwdfv7o0G/IdBmZ21R6fmfiQe0e+5e6dsEr7S8rlcm7duklGRjr6+gbUrx+IoaER/Qe+Rq6+H44+7dWmrVQqOL12FO+MGs269Wswt/NCz9ILpayI1CdXMTM1Yv3aDUilUnr06kbbUWvR0Ky6z6ZCISf4wFdIi1LJzc1GLpNha+fA28Pf4vXX38DU1Izvv/+WzTsP0qDPZ0g1NCucf+vX+bw5oBtTp8xQ2ZeYmEBQ04Y0GfAFJtYVm0Sfhl/gzvEVdHp/I5rP5VMuK+HqrunYWxljbGyGgYEe3bp0pX//QYwY9RYpCkfcG/WtkGZ2ShQ3937OvdBw9PX11TxHJc1aBGHpN6DS2t/n5WUmcGX7FELvPmDT5g18++3XWDn7Y2TnC0olWfEhZCQ8ZN68BUyZMpHOYzairVexablMRkIEkWeWcvf2PUpKSsjKykJHRxtDQyO1wdHChd+w87dLVQYJZSIubaWhmz4/LFmmsl1dINmiVTPMfPpj4964ynQf39yPm3EWG9ZvVHtMbm4uBQUFmJiYoK2tTcfO7dFx7YptFc9ZIS/hxKrhfPftYmbNnom+qT1mzo2RamiRmxJB4qPrjB49hpkzPqN+A1/qdvwY898DvqqUfRdD7z5AS0ur0mPkcjkNGgbg0nwUVq4NKuyPf3CO/MfH2LN7H9u2beHajZsoFEoiIh5g4NgUz6YVm3ALc9M5vWEcDXtNwaaS1oCIS9vJjrmAv199ABoEBjJ8+Nu89fZw5BaNcfbvXOGc9Pj73D70NXK5HDuvFli6N0VDU4fMhDCe3jtO61YteRgZianPAKwruY/y+y0p4tiKNwkLe4SJiSl37oSQkpKMjo4ufn7+mJlVHiROmz6Z83cSqddmlNq0n3Vj90w+nzGJAQOqbuI+fPggM+d+RcPXvqjyuAcXttChgS3zv/iqRtf/J4hA8tUmBtsI/5gjRw5jbutZoyASwNTWC009Ey5cOKtSi5GTk83adatZ/+N6ZHLQN7akpCifnIxEBg4cQnp6GgbmVQ/qKG3Gk7Bxy1Ya9/8CYyvX8n3KVsOJCT1O3349GTRwMLZeLasNIvOzkri+bwEArg16Ute5PlKpBjlpMaz7+Ve+/uZLli9bxfof11Gn48QKQSSAVKqBe9Dr/LhhER9PnKzywt60eQN2Xs0qDSIB7Oq05OGVXaRGBWPr2ax8e15mAjcPfEtxYQ7FrkEUmjiQU5TPohUbmDX7UwoL8+n8/uZK0zS2csXY0pFTp06obVoLD39ASkoyPmqa/J9nYGqHua0Hk6d8zOlzF2k25BsMzZ/p/N+oD5lJkcyZOxelQoGWTtUjTbV1jcjLy2H8h+PYt283SoUSmawEZxd33nv3PV5//Y3yPo75+flkZKRz9foNjO18q0y3jJmDH3dC91e6T6lUcuXKJU6dOkVeXh7W1jYkJyXg2NK+Rs/hyaMQTpw4io6OLg0aNMTQ0IiCggL27t3NytWriHgQiqaWNgqFnG7depOWloprvao/11INLaRSTabPLK0VtHQOUNnvmZPCzr3fEB0dBVIdzOwqbxZ+nqmtF5q6Rly+fJE2bdpVekxw8A2KSuRYugRWut/OqwUnTq2mQUNf7L2aYupQn6LCbJ4+jadz796VnqNraI5LQFeSH19XCSSVSgUPzm8h6vZvWLs2IFlS+r3Y+dsl/rdkEQqFkk5jJlaaZnFhHkXFMloM+VLle2/p7I9rg94EH/qG3PSnWDes+llraOmgpa3DmjWr2LFzB1k5uRiZ2SIrKSIzJZaePfvw0YcTKtSW7tq1g0bVBHvPsq7Xga0//6w2kAwJCebWrWBu3ryBVEuv2vS0dAzJzc1DqVRSWFiIjo7OC3WxEAQRSAr/mKSkJHSMq+8bVzaYIunxDXKzM/ls9iyGh4czdOibFBUV069/bwolxni1G4+ZvXd5zVNeRgKX7/5GzMNw7KQ22Lg3UXuN3MwECvJzaPvWEgzNVQcRSKQauAR0ozg/ixOnTqLn0ExNKqWK8jK5vGsWTr4d8GqmOpJTz9gKa7dGpMbeZey4MSCRVPnyNrWrQ1FRMbGx0SqDUi5cvISZs/p8SCQSbD2bkh4fVh5IFuSkcnnnZ7gGdsej8Wsqzc4uAV3IeBrO1V/mkvToOo4+7SpNV1vfjNDQO0ilUnR1dQkKalY+8vrhwwi+/OoLJFoG1TZpP0vH0IoDv+6j1fAlGJpVDLpMbTwJ6DGVK7tnkZ0arTZ4BshOjaKoqISQ6GJaD1+KnrFV+aCqlRt3smz5UubOmceBgwc5cuQgmpralMjk+LavWQBVkJNKQnw8rdq0RCYrwdPDk1EjR6Gtrcm0GdNJTk7Dwj0IDS19SnJDyc3N5e6JlTTs8Qk6BqZq0y0uzCEy8iFTPvsCWXEB2ekJdO/ei1u3gilQaGPv14PuXT5HqqFJUV4mj++dIC0tnaJL22k2cE6l/RkB8rNTKJHJaNBjUoUgEkDPyIoGvT/j+KZxmNu6V9mkXTrg5jJx989QmJtGSUE2ixYvxNTUtLypv7CwkKtXL5Obm0tMzBN0Dc3VpinV0ERDSx/f9qPLP6OJkVdLg1Rt9QGQpXN9Hl7dpbLt/pkfSYu/T7sRy9Ezsijf7uTbEY9mw7i6ezbhl7bh265irV/k1V34dxyjEkSW0dTWw7/bJE7/+D7ZKVGY2qrve5uflURJcTFbdv6KS6NhBLgGlpdLQU4q90KP0aNnF1atXEvnzl05deo4m7ZsITcnq8Y/pqH0R0dS1KkK2y9dusD0mdOJi4/HyjmAovxs0hIfoVQq1H4+APLSownJSMfZ2ZaiogIkEgn1fAIYO+Z9+vbtj55e9cGo8N8mAknhH6OlpQlKeZXHPA4+QMSlnzGz98bBuy06esYUF+ayftsBvvzqC0xMzTF2bERg65EVXlgGZnbUazMKE9t6hBz5H24N+1QIEsuEnf0Ra9dAtfsBXOp359T1X3A0Sa8yzxFXdmDpHECd5q+rPcbSyR+vlsMJO7exwj65rISEh5eIDT1R+nIqKuKL+fOY9PFknJ2d2bFjG/fu36Nu66oDWiQS4I+eKw8ubMXOqzmeQQMrPdzMvi5NB8zh6p7PsfVqhqaWar/MuLCzPH10izXrwjCzcaG4MI+c9Kf07z+QxMQkLl48j4VzfRSKmo3sLlNclIexlUulQWQZc/u66BuaEXP7EP6dK++jqVQqeXRjH+6N++HVdFD5dolUAxv3xti4N+bR9V8Y+8H7uDXoRduRq9A1MCPs3CYynobj5NtB7fUVCjmhp9bw9ME5nP06Yu4ehFRDk7ikSN4b9wH5uZnUazWclt27qgwuqtN6FOGXfubi9mm0eP1rdA0qH5wSd+80dVq8iWtgab/b7JQoDv0yF7s6LWjU7h2Vz7aOgSkeQQNx9O3EpZ0zCb/0M/VaVj59VcTFLegamFT5I0rHwBRH73YkP7mp9pjUmDvcOrwIPWNrnAO6YGjuiEJeQkpMCH3798Xf1w8/Pz927NiGrqEFugYmZKc9JTcnk8fBB3Br0KvC97O4IJviguzyvpNQWoMqKy5Umw8AWUmBSg1+TmoMcffP0G7kskr7uOoZWdB88AJOb/wAZ//OGFn8MYVOTlos+VmJagdCAWjrGWNq407M7YM4+XVUG5RFhRxC38SGRv3nVRhgpmdkiVfzNzB3DOC9MaMxMDAEDV1s6pV2t1Eo5Eg1Ku8i8DylQkZRcTH9B/Tj/v1QAOzt7Hn46CH12oymTefWpTMOKJWc2fgByU+C1XatKMrPJO7BBdwCe9By2AfoGlmikBWT/OQmXy9eyRcL5rFrxy8ValEF4VkikBT+dgqFguzsLNzcPEiP/0HtL+aHV3cRG3qClq9/g5Gls8o+h3qteXLrEFEhh2jSekSVNSl2dVqQFhdK8IGvaTVscYVm5NSYO6TH3aNOizerzLe2njFm1s6kRd9EqVRWek1ZcQHxYWdpPez7KtMCcPTtSNjZDWQmRGBmX1ojlpsRz7Vf5qGjb4pL/W4YW7khlxXz8PFVevXpgVwmw9rZDyObeiQ+vq72BahUKkmMvFIezBYXZJMYeYX2I1dUmSczuzoYW7kSH3YWl4Cu5dsfXt1FVMhv1O/6EdbujctflLkZ8Zy8sIW0+DBav7kYTW19Tq4dTX5WktoO/s+Sy0pIjr6Dc/2e1R5r7dmC+HvHMLXzxsmvU4X7Db+4laK8DNwaVt4sCuDRpD9ZyY+RSDTKgzpn/y6c/+kTfNqOUFsTdu/UWrJTntBh9Bq09f7or2Xu4INbg17cO72e6DtHcfRpj/SZNLT1jPDvOIZ7p9dx5/hygvpVHJySGnOX7JQnNOn3afm29KdhGJo74vtcEPksHQNTmg6Yw5kNH+Bav0eFgRpJj66R9OgqTn6dqh2Ra+HSgNj7ZykuyK7QBzU19i43D3xD/a4fYevZVGWfpZM/bo1e4/zWj3kYl0GDvp9jbFU6yb9SqSA15i6hJ1eRn5mAb/t3VfIRee0XrNwaqgR/5g7e5GXGk5sRj6FZ5T/qYkNPqgRGUbeP4OTXocqBUjoGpjh4tyX6zlH82r9Tvr0wNx1dI8tqgzhzx0CSHxzjwbkfqddmVIW/VwkRl4i6fYRWQ7+rdJaCMhZOfrg2GkBi5BVaDv0GiURCbOgp0mJDq+1HWyY15g4pqamYuHcgoPcA5CWFXN71GY16TVXpiyqRSKjb4g3uHF9Os4HzVAJogJLCXK7tnY+jTwe82/5RUyvV1sO+bivs67Yi+s5R+vbrydEjJ15omi7hv0V0hBD+NpmZGXz33df4+telXj13hg0bTEFeDvfO/IhCoVozmZn4kCfBB0r/AD4XRJZJjLxS2kRbRbNNGdcGvcjLSuLi1vE8uv4LKdEhPI24yJ3fvuXuke9o1qwZSkXVtaMAUgloaZT+Ma9MStQtjK3cMDCtvqlKQ0MTU/t6hF/cgkIhpygvkyu7ZuNSvzsth36Do097jK1cMbOrQ52Ww2n91jL0TOzQMrTGp+1IkiKvkJ0SVWnaiQ8vU5CdjLVrQwDSYkMxtfWqdlQogIN3e57c3E9ueunck0mPb/D45n5aDv26dI7PZ16UhmYONOw1DSuXBoRf/AktHX3s67Ym+s7Raq8DkPDwEvoGBugZWapsz0mLJeLydkJPr+PhlZ3kZjxFS0efLp27Ehe8i+C9s4m9d4qU6NtE3z7CpZ8nEXPnKM0Hz69Qk/o890Z9ibl7DIW8BCitubZyCeTO8RWVfgZy0mKJDz9PUL9ZKkFkGYlEim/7d9AxMCU29GSl16zT4g3SYkPJzXhavk2hkBP/4Bw3D3xDYLcJ5UGsUqkkOuQ33Br2rjYA1De2xtqtIRd/nsST4F9Jib5N/IPzhBxcQNipFQwZ/DoSajati6GhEbH3VPOvkMu4dXgxAV0+rBBElnl0fS+G5o40HTC3PIgsey5WLvVpOfQbEh9dI+Zu6Wjm/Kwk7p5cRdz90/i0HamSlqa2Hs5+XQg9uRp5SVGFayU8vExa3F2kmn+UcUbCA6yrqHEtY+fZlMTIK+RlJgClXVASws9TlJtGdWNOS4qy6P9aP7QLY7mybRJPgg+SEh1CfNhZbv36BXePL8WxXhuMrVyqzYezf2dy0mIozE0FwKV+N6Jv/1bteVDavSD6zlEa9pqOa2APDM0dyEp+jImNZ6UDmuzrtsKr6SAu/DyFW4cXk/joGilRtwi/sIWT697D0MwBvw7vqb2eS0BX7Hy6MmnypBrlT/hvEoGk8LdITEygY6f2bD9whrodP6b7hN10/2gXfp3GkRpzm+v7FqCQy8qPjwo5jEv97uqnrVAqSIu7h61X8xpd39DMHiMzG5o2aoCZIoaciP1Iki7y7pu9iYmOoke3biREnK8yjfysJLLSnjJ16nTCTq2gICelwjHFhTk1CtbKONRrQ0luIiEHFhB2fjMWTn54NO5X6bHaesYE9Z9F7L2TKJUKfNqO4sruz4kNPVn+0i0uyCby2h7CzqzCzcWFO799R2ZiJHJZEZralY+0fp6Wjj7GBtpc3z2T4yveIPjQd7g36lM+QfLzJBIJ3q3fIuHhZYrys3Br0IuYO0dJf/qgyuvkZyfz6PIWOnfoSPbT0sC8KD+Tq7/M49L2GRTlZaKjb0JBTgoXfppMzJ0jtGzRguCbd5g28X0M8u6SE74Pk+II7K2N8Ww6WG0en2Vq64VUU4uctNjybQFdxpOfncy1vfPJePpAJbB4eHUXjt5tKw0in30G7g37EHX7t0qDEi0dfey8mnF110zun1rFvRPLOL5qBJHX9pSOQH5m5HVxfhZ5mYmVjkqujEO9tthY22Ct8ZSciH1opl3lg5FDuB0SSpcu3Ul8dK3aQCkj9jatWrYgOnifyo+TxEfX0DU0UxtEykuKiLl7DO/Wb6utidPWM6Zu86GEndvA8RVvcOnnj8mOu4VP25GVlle9Vm+ioaXL+Z8+Ifr2EbKSH5Mac5t7x5cScXY1333zPTE3d3D32GJSokOQlxTWqFlYqqGFrpaUK9smc3zFG5zZMAZ/VyMM9HVJj7+v9jyFvISY0JPExT/lxLFTLFn4DfY6ieRE7IfkyzTxc0UqlaKpY0D6c5+dyp+HEeYOPqTHlV7TwbsdmYkPSYy8Uu09hF/8GUMzB5WR9UmPr+Po3U7tOa6BPWg3YilKpZKwU6vIizxIZvQVXAN70qDHx5UO9HuWS4PeBN+8zpMnj6vNn/DfJJq2hb/FWyOGo2tbnzot3yqvZZFoaGLn1Rxrt0Zc2TWL0NPrCOj0PvKSIhIiLtGuimZYhawElIoqO+U/TynV4U5kEvkZ8VhamPHB+2MZOvQNlMoilq9cSXZqAqkxt7F0rl/xXKWSx9d20b//IEaNfIeUlBTWrJuJR7M3sKvzxyhuDS1dSgpzyctMIDXmDkqFHBNrd0zt6lZau6SQFRPUpCk+Pt4sW/YDLYZUPQWHjr4pdnVaEXPnKPVaDUfX0ILI63sIPb0WLV1DivMz8fWrz4H9h/Hw8OR///uejZu+pqi4CDT01DbJPys/M4EWzVvwv8U/kJ6eTqNGfjj6dKzyHF1DcywcfUl+chMn3w4EdP6A63vn49NuJPZ126Ch+ceLXqlUkBJ1i7DTqxg7ZgwjR7xDYAMfHBMjuXP0B8wd/Wjce5rKxOA+bUdx98RKNmzayJAhb/L6629iZmbOqjWruHrlIlItHbwd2lWZx2dpahuo1Hhp6ejTfOA8Ht3Yx40D3yCRSLG0daYoP4us9CQa9FQ/D2QZK9cG5GcmICvKQ0u34ghfQ3NnNPJjsdbLQalQkGFkQsth/6tQHrKSQjS1dWs8YElTx4CnCU+Jj4vC17c+o0eOpE+f11AqlaxcvZLionySHl9XO01QUX4mcWFn2LLsLO3atmP2nNnUbfsutp7NiL9/Gmf/Lmo/M+nx99E3tqp0oMqz7Ou24t7p1Zw+dQlHR2cmfPwRYYnJQOl3Ky32LtF3jpCTGoNUUxtr14bYuDchKuQwkZd/xs7entf69mXE2yuwtbWja9cebN6ygT2/7EBRkkdGQjj6xtbE3D1O0uNryEuKMDR3xCWgK5YugUgkEjITI2jWtBlr16wnMzMTIyMj9PX1WblyGT+sWk/j/vMqzAqgVCp5cGErRubO3LzzgGXLfuDjjz/B2dmVL+bP49y506QXaGJTtw0lRXkEH/wObT0jPJoMwKGe+uU6tXT0kcuKy//dqNdUbvz6FSVFeTh6t6tQ9vKSIiIu/Uzs/VO0HrZYZZ+suACtKn7kQOmgKo/GfXl0Noatm7fStFkjGjUdUOU5z+bVvm5rduz4menVzBsq/DeJQFL4y926dZPIR49oM2JKpS8kDU1tArqM5/zWScgLUjGx90eioaky+vJ5Uk1tpJraFOam1agWSqlUUlyQjV+H9zCx8SD58Q1mzv6ce/fvoa+vg9TQkQbdh3LzwHf4tn8H+7qtyn+pF+Vl8uDCFmSZD5n12VoApk2dQYB/AIv/t5izFzZi5eSDRKpJVkoU2RkpnNsyCWvXBkg1tYi8tgdtPWPqdxmPiY2HSr7Soq4wYtwoWrduy7p16yrsr4y1awNi7h4r/bdbQ6zdGlKYm05JUR6x907SorEj/v6lI3RnzpzFlCnTefw4kj59e5GREF7lPIFKhZzEB6f4avI6tLW10dfXp6SkGB396lcT0tE3RVZcujKPXZ0WaOkZ8eD8FsLOb8a+Tit0DEwpKcwjI+YG+rqafL1gAYMGlfbhnDJlBgu/n4eJnTd+Hd6t8DnR1NYjsPtEbv06n3XrV3P3bijnL13BMaAXHceM4d6ZH8nPrlhDXJnSbgTpFfoCamjpUKf5EOzqtuTcpo8w0LRDR1+bony9amttoLQpVyLVQKmsfLCRrDifrEINtJWOZCfepyA/v9Lvg7auIbLifGTFBTX6oVSQk4KpXV0a9ZpKQsRFPpv3JVt/+okB/fsTGRVP/S7juX10KZq9Kk7/U5CTyo1983jzjeF4eHjh4eGFjY0Nc+bNJfLCRkrk4NZI/QTwJcX5aFfRNxGgpCiPvMwENLW0kUiU6OrqMnrkaN4Y/iZujfoSemotqdG3cQ3sgXujfsiK84l/cI7o20fQNzRi5YpV9OjRSyVNa2trJn8yjcmfTOPUqRO8M2YMkVd3Ye3WiLoth6GlY0DG0zDunlyFqV1d6ncZT8K948xduQIdHR2V5RTHjBnHps0bOb91El7NBmPnVbr0Znp8GI+DfyU3PZ7mg76gKC+DFSu/pHHjxrw9YhiOAaUDtp79HJUuT3mN+2d+JDcthrotK+93XZCThpbuH8GfhZMfQa/N5vaxpURc3lE+KEihUJCdFE78/dNIpRr4dXy/QjcQHQMz8p7pMqFOXmYCenp6TJj4IRINbW4f+QELJz8cvNuhpVN1a4WuqT0xcfHVXkP4bxKBpPCX+/XAfmy9WlfZ/GRk4YSVvQftm/ry8NEjUMjUHgulTYl2Xs2Ju3eqytHRZdLj7gFKTG08kEg1sPVsipldXX7aPpPiwhwavzYXE2t3NLWnEHZ+M2HnN2Fq44lcVvx7bYcVr/XsgpmZGZcuXSAmJhpjYxP2/rKf6OgoQkPvkJOTzQ9Lf8CoXmu824ws/+OsUMiJDT3BlT1zaD54PsaWpf2oslOiyEp6TP/+g0hKSkBawzW5JVJphWBF19AcXUNzNLX1kMtV+/lpaWlRt6437dt34PiJVbQa+k2lywACPLm5H0sLU3x9/Zg7bzabt2xCqqFFflai6vyOlcjLTFTpp2Xp5E+rN74lMymSpEfXyUmLJTP2FosXLSErK4uEhAT27NlJ9+69GPv+ByxavBDPoAFqa78kEilOgX3535LFGJo7EDT42/JnbF+3JXdPrMKr6cBq+8wmPbqOjoE5BpWMEo8NPUno6bVYOgeg794BTW19Ui9vJ+NpOBaOVY9czU6JQkNLt9K5LssGP3m3GYGNe2PkshJOrBld2r/tuemMtHQNsXD0Jy7sTLWrJ5Xl2SWgCxqa2jj6tMeuTitCjy5izry5uDV9s3xqneBDCzEws8fWsxlSDU0ynoaT9OgaUqmEaVOnU1RUxLFjR4iKesLokaOwsrLm01mfqnQ5eZ6Ovin5WYmV1nTnZSYQeXU3TyMuomNghhJNOnZqz+DBb/DJpMn4+fpweedMFAolrYcvRvuZWlwrl0CS6wRz88A3+PmpLv/4/LX8/AIozM8msPvHKnOmmtnVwdm/C1f2zOHKzpm4Ojvg6OjEp5/N4MDBX8nPz8Pu9wUC4uJi8Go+jNjQk9w+uhQonarLJaAbgV0/QkvXEF1Dc7T0TBj21hv4dPgAO6+KsyZIpRrYeTXHzK4uF7dPR9/EFic/1dr83Ix4ctKisXJRbfkws69L27eXkhYXStz908TdO4WlmSEe7m4079+fo8dPVPrZcvRux70z63Fv1LfK1oYnwb9Skp+Ojn0zfNoFIisuIDHyCg8ubMW9UV+8mg1We75SoUCrBmujC/9N4pMh/OUyMjLRqqbWAkBb3xQ9PT3ee+cdJty7XelL9lmu9Xtw48DXuDbopfISep5SqeDRjb24BHRTaTLSMTDFvenr3D2xqvw6ls71af3m92QlPSInPQ6phhYNenxMRkIEFy7uoWHj+hQUyTGxcqUoP4Ps1Pd5Z/QYpk+fycpVy5Aa2OLfaZzKH2SpVAOXgK4UF2QTfvEnmvSdSUFOKsG/LsDN3YNmLZogkUBBfi55GQnVzimXHv+g0qCupDCXpIjzHIySsm//Pmxt7Rn59tsMGDAYPT097t4NRVNLl8u7ZuHTbhRmzzS3F+amE3ltD4nhZ9i/7xBdu3dGpm1FYO9ZxNw9TszdY/i0Vb/yRm56HNmpT7CuZOSpqY0npjaeRF7dBbkxfDThA2zdG6KpY0JBVjyTp0zi7bdHApIq5+krLR9/8vNyaDJgnEotiqVzABKplPiwc2rnwITSUeKPru/BNbB7hZdm3P3TPLi4lRZDvlT53GloanHn+Ao8Gvetsrk5KuQwzn6dKj0mJSoYuay4fGUUDU0tnP07E3l1Nw17Vaypdwnszv2zG3Co17bK2qLUmNvkpsdhV+eP5e00NLXw7TyBI8uGlpeHrWczrFwbkhBxkfT4+ygUcoyt3PBtN5qQA/NYuvR/bN66GV0jKwwt3JGX5JHw6AbWVtakx4SoXdHF3L4eCnkJ6XH3sHDyK9+elfyYq3vm4OjTgXZvl87nCZCbHs/Z4P0c7tSOn3/aTo+e3Wjy2uxKv7/Wbg1x8mnF1p82M3rUe6xatYyft/1MRnoKJmYWDBk8lA/GjWfHzm04eDVVCSLLaGrr4d9xDJd3zODNyePp0LEt9vXa4NH2Q7T1jMlJjWbZ+p+RyxXYeAbh1rAXCrkMpUKOVFO7YrcDuQIbj+aVBpHP0jU0J6DzB9w9sQJH3/YqP24eXd+Ho3e7SmubJRIJlk7+WDj6cfbH90hLS6GgREJMtiFFSl0SH17B6rkJ3q1cA5FKNYi8uguvZpVPUh4TeoK8zETaj16N1jPXdfbvTG7GU24e+Jai/Az8OoypNJjMS47Au5P62RCE/zYRSAp/OQd7e67cUz9HHfy+/u7TR+w7nMZvp69SWFBI8KGFNOo1VW3/K1O7Oli7NeLqnjk0HTCn0peRUiHn3pn1FOam4RrYo2IaNl6AskIth4mNh0ozc3rcPWLjYgns/vHva/WWvhhy0+PY9ssyEhITuHT5Io5N1E9F5FK/O5HX9vDgwhZi7x4FJMiMvKkTMByUSgpPreLJrYP4dXhX7XOSlxQRe+8kzQeproSRl5nA5Z2fYWjugFPD0oExOelxLFy6llVrVvHD/5YSHx9L21FreXLrEMEHv0NLxwB9UztkxflkJj7EyiWQkuIivvx6AVJjTwLalTYxuwb24NL26dh6tai0WVxeUsSdEytxCeimdsS0vKSIxzf3Y+nkQ5sRc1SmaslOjebnnQuRyWTV9t8ECRKpRoWaGYlESv0uH3J933w0tHQrfdHLigu4efBbNLT0cPJVrSWSy4q5d+ZHgvp9WuHHi4VTADr6poSeXvd7s3vFGs+EiEskPLxMm2GLKuzLTIok5MgP+HcaqxJkejR5jUvbp3PvzDp82oxQqbG3cW9C9O2jXNk9i6b9P690WcjU2LvcPLiQ+l3GV1hpSUNLu/y5lG/7vcby+aVCZTI56zb8SMNeM8unoQKoW5RH6InlRN0+imfzoZWWrUSqgVvDPoSeXkfzwfPR1jVEIS/h+v4vqdf6LZyfm6bJ0NwB347jiLy6k3fHvIOegXH5OvCVsfFqw969W9j60xYMbXzx6z4dA3MH8jMTOHH1CLt2tcbK2haruuqDHBNrdwxNLPhs9mc06vOZyryVBqa22HgEEX7xJ679Mo+2by0p7cZQSVcGuayYnIxEArpOVHutZ5X+uNEkJeoW1m6NUCqVPLyyk9ToEFq+UfVa8BGXt1NYkEfjPjOwdC6tkXVMj+fCtinUaf66yuT2EomUJv0+5fKuz8jNiMejcb/y0fO5GfE8vrGfhIeXaDZwnkoQWcbQzJ7mg+Zx4eepJDy8hH0d1TW3C3JSSY4KYfDgn2p038J/jwgkhb/coEFDWLpsCV4t31K7xF16/H2UKAka9DUSqQbFhbml07rs/JSmr81S+eNfRiKR4OjbkRv75nFxy0c4+nfBwbs9uoYWyIrzSXh4hejbh5FItWjaf06lNQB6xlZIJBpkJj7EzK5OpXlTyEuIuXuMJn0/Val1ATA0d6RB7884/NME8nMy8emlvo+jtq4h2rqGaGaHoaWtS9CgL1X6dzboNokLP0/G0tm/0toVuayE4MPfY+Hoq7qEo1LB9X0LcPbvQp3mQ8q3G1k6Y+fVjLAza5n56Qz0jczR0NLBM6g/7o37khZ7l6K8DKSaOjTsORltPSMOLe7P1SuXaDd6XXlQZ2ThhH/nD7i+9wvcGvXB2b8LugZm5f3Bwi/+hI6BGXVbvFHpfSuVSoIPfoOOgSmBPaZU6OJgbOlCo36fc/rHsaRE367Q5PeszMSHaGrpVjqC2tzBm8Z9ZxJ88DseXf/lj4mzZcWkRQcTd/8URoZGaGgZkZkYobIKUmzoCQxMbdV+zhr3ncHVPXO5sms27o37lk6rJJGSkxpF3N0jxIWdQ0tbh7j7p7D1aoGWjgH5WYnE3D1OYuQV/Dq8VyG41dY1pPmg+QQfWsjxVSNwCeiKoaUL8pJC0qOukpscQWBgA85uHItDvdZYuTVFQ1uPgqwkYkJPkJ38uNK5HUvzLMXQ3IG0uNAq1+IuysskMzWepv0/VwkiAbR0DAjsMZnT69/j7rGlBHafVGltq1uDXmQmRHB+y0Tq/j4xuo6+WYUg8lnuTQZwbsMxNLV0qvzxoKWjT1JyEm4N++AR9Mck88ZWbvh0GMuT4F95fH0P9f2r7ktaXFyMS/1easu3bss3SXh4ieQnN9WuEZ8edw9Nbf1qBxY9m66tVzOSo4IpKcwl4f4xMpKjsavTUu3E9FA6+OnxjX0E9Z+t0p3C0NwBZ79OXP1lLk36farSV1LfxIbGvadz49cFpD65gbaOLhKplML8HHSNrGn95vdVzuuqrWeMV7PBRN06qBJIKpUKHl7cTO++r2Furr7PuvDfJgJJ4S/n6upGly7dCT7+A/7dPqlQe1KQk8btY8vwChpY/qLS1jXEq+lADExtubZvPu1HrUZb948gVCEv4Wn4RSIubGDpkmW4uLiyZu0aDm75iJLiIiQSKRZOfng1ex0bjyZqpyaRamhiYudF5JXtNO73WaW1TdF3jqFrZFkhiCyjpWuIg29nHt/YR3F+ltpmdqVCjhQ5Wjp6uAcNqTBIyMDMjsZ9Z3J933xsPS7jEtgTYys3FLIiEiOvEh3yK7mZybj4dSQ3PQ59ExuKC3KIuLwdWXE+Xs0GVbimRCKlTqu3ObP+HeQyGSVF+Wjp6COValRoIstOiUJbWwe7Oi0qBN32dVpgYGLDo5v7ObV+DBqaOshLCnH38KJnl7YcOHCA2HsncfBuq1JzlZMaw5Mbu8lOfkTd1iPV9pPVM7LE0bs14Rc3Y+WifjL3R9f3YFenhdomZgtHXzq8s5bEh5eIu3+G7JTHWFla0rFDB0Z/fxxPTy+WLlvC2rU/gKYeBmb2KGRFJETdw6vZkErThNK+gC1e/4q4e6cIObIEWVE+UqkUA0Mjhg9/mzGb/0deXibffLuIMwfmUZCfh1yhxK1hH9q+vUztwDEdA1OaD55PyOHvMZbHYlSYh56uDm+NeYsBAwZjaGhIVNQTftywjqPHthMfH4+RlRsO9drQpN+nVc6Z6eTXiciru7Bxb1z1aixG5uW1Xs+TSKT4tHuPu8d/IOTgV7gFvY6p7R8TU5etwpSdcJ+uHdvzOOoC9+/fo17rt9TmC37vS1ivHU+Cf6UoP1PtZOLxYedQKJS4NuxX6X6XwJ5EXt1FRvx9LJ0qv4ei/CwKctJx9OusNj8SiQSXgK7E3j+tNpCMDT2Grn7V620/T0vHgCc392MoT+CzKR8RFNSMfq/15v7p1bgHDVYJKJVKJZmJD7nz20KMLRwq7ZPr3WYEDy78xJmN47FyCcTGvQlKlGQ/vUtC5DXGjPmATyZNISEhHoVCSZ9+PanTfmyNFgewr9OS+2c3kJsej6G5A7KSQh6cXYueIp1vvtr2Qvct/LeIQFL4W/ywZBnD336Tq9snY+/bBXNHPxRyGQkPL/4+WKArzs+spFLGvm4rHl3bw9n17+Lg0xYNHWPkxbkkP7qCg709mzZspm3b0qa61Y2aEBb2MT1796TNqLVIpTWbJtXE0pmMqCvcO7kCrxbDy0coK5VKMhLCibyyDfsq5mkDMLGti5GRCU/DTlGn5fBKj0mOCsbCwoK7t2/SbfzkSo+xcPSl2aD5XNo+jfyUB6SnJiGRSGjQsCnfLZiLp2cdNmz8kd27ZpCfl4OGpiYODs44+nRQGyxoauli5xEEeTHEhp7AXc0o3Ng7h6nn7UOBbuW1JSY2HjTsMQlZcUHphO7B27h4/jISiYQhg4fy9bdfc3b9VqxdA9DQ0KYgJ5ns1DjeeGMYP0XfqnawirljAMmPb/Dk5n5cG/ZRqalSKhU8urabtNi7BHSpfInEMhqaWjh4t8XBuy2Xf5rAimXLadbsjxWAPp74CR+On8CFC+dITExAV1eXPXt/Ib5Iu4pUS5+ja2APUh6eZeGX8wgKaoqJiWnpHIKaUszM6vHj+g3IZApiYqJp3bYldZq/XoPmetDW1aN376588MFHFfa5uroxb+4CRrw9ig4d29JswJwaTQ1k4eTPwys7eHB2HXXbjFb5MaVUKokPO0N0yEEc/Sp+755l7d6IooJcXuvemq1bv0bbwBwDMweUChkpMaG4u7mzfOkyuncvXZ2oU9dOaBtWX3ulY2iBtY09UcH7qdvq7Qr7SwpzSQg/g51HI5Xpo54llWpg4eRDzO3fcKnfvdIuAE9u7keJstr5XfWMrcm8WTqP5rO1jsUFOTy+vpui9EegkNRoCq0ysoJsxo0dz+zZ88q3HTt6ihkzp3Fs0zhs3RuhbWSPUikn++ld5IWZ+HnXIVVReT9piUSKd+vhuDXsxc19c5EnXsTB3oEevdsw7M31WFuX/jh1d/dEJpORmpxIkyr6mT9LQ0sHAzM7nkZcRFGUTVzYGVo0b8XqVYcxNKx6eiHhv00EksLfQl9fn1079nDq1HHWrF1L2IkjZGZmYWztSdP+n1c57Y1z/W7o54bSrm1DMrOyMDZyp+OXn9Cw4R8DO5RKJefPn2XrT1uRy2Wc3zoJXQOz0uYg/y5qV8dRKuSkR11n2ZIlbNuxi+Mb38fGtT6aOobkpkYhK8ymU4cO3I/Nr/L+ZEV52Ns78Dj0GOZO9StOs5KdQsT59cyeOZNPPvkIuVxGXMhhnkZcpLggGyit9bKv2wprt0agVBJ2L4KSkhI0NTVVguKF3y1i4XeLKCoqQltbm+nTp3DxQQ5PIy4SffsI2SlRyEsK0dTWw9SuDq71uyPR0KJDh478vO1ndI0ssfNqXv4yVCrkRN06QFZcCH2Hv8W+U7eA0v5V0bePkvjwMkUFWUgkUnQNLXD0aYeOvinW1jblabRq1YaDrdoQGfmQGzeuUVhYiJWVNe3bd0RfX58dO7chlxWjVCrJSY0mPzv59zzqY2zpgp6xFXJZMY0aNSI+5jyXw05iU7cduoYWFOQkk/TgDJbmJgwfNpzT129g9/tE9PlZSUTfOUbS42uUFOQgkWqU1m76dsDQzAFFSb7K56SMpqYm7dr9sbb2g/AHRJy4VWUZQ2lfz+y0p9StWw8zM/WBiYODIwb6+mQ8fYC5gzfFBdlkJj2ipDC3dGJsAzNM7byQSKQo5DJSooIJCppS5bXd3NyxsbXjacQlSgpziAk9QX5WIgpZCVq6hli5BOIa2KN8wFJy5CV69exNTGwMFza+j513B/RM7SkuyCL14XmUsly6dulGeKoumYmRRN/+jZToEEqK8tDQ1Ebf1A5n/87YuJU+v5kzZjF92qecOXOShIQEtLW18fMLKJ9qqoydrS1x2SnkpscRF3aWwtw0lHI5WroGWDrXL19isygnhdatWnHixHEeKMGtUV909E1La+YSIog4vx7vevXIKK46aNPRNcbXpx7B++ZQp8075V0Wiguyibp1kJTIs2hpaVOQk4K+sTVKhZzcjKel96mhhZ6xNdp6RhRkJeHi5Mit/XMwNLNHz9QBWXEeSU9CaN26HTvXnKZL147VTqFVRqGQk/zoEl0/H6ey3dramvXrNpCcnMz+/XuIj49HW1ub+vX78eabQ5g8eRqHr8RWSC8vM5GYu8fITolCVpxPUUEemhpWDHtzGJ06dUHjuVkfahrsquRZVkxRwnU6dezI6KVn8fSsevCbIABIlNVNwy/8v5GSkvNPZ0FFYMMA3NuOx9Sm6jVcEx9dQxF/miOHKy67V1RUxMaN61m9ZjWZ2TmYOgZgYGqHsaULcrmMjKcPiLt3CiMrF9wa9K7QTy3x0TXSQndz49pN5HIlSUmJnDx5nPz8PJycXOjQoRPR0VF07NSOtqPXqm1KvH3oK8YM74+bmxvvvjcaK9eGWLo3L52PLvY2cfdO0Kd3H/r0eY0x779DYVEx5g4+OPl2QO/3Ju78rERiQ0+QkfgQUxMT7oTcQ0ur+hU7pk+fzOatWzAwtcMlsAeWTv5oautRUpRH8uObRN3+jaK8dGZ/Nht//wDGvP8uCqkOpg71USjkpD65iomRAR9PnISxsTFjP3gfUztvMhIe4OjdDkffDugZWaJUKMjNiCfmzjESI6/QpEkQv+z5tUZ5fPvtYdx6mERBdgqFeRkYmjuioamDrDif7JQnmDv6Ii/IYMqEcYwYMZozZ06yY9cu0tLSMDIypFGDhvj5+aGvb8CAgX1pMnA+kVd2kRpzG/u6rXDwblc6xYxCTm5aLNF3jpL+NIwmjZuwf9+hamunY2KiadW6GW1Hrq50MvHy4+4eRyf7NocOHAZALpcTEhJMTk429vZWeHr6IJWW/j7/7ruv2bzrIJp65iRGXsHI0uX3wSgy8rMSAQku9buhpWNAQcwZLpy7VOXLX6lU8vaINzl27CgWTn641O+OibUHGppaFOVn8fTBeWLuHkPP2Bq/ju9xa/981q/7EalUSkREONevXycjKwsTExP69elLt249+PnnLXw6exYSiQbO/p2xq9MSbT1jFPISMpMiS1eWSYrEztaOG9dv1Sg4WbBgLqvWrkMul+FQrw2GZg5INTQpKsgiIeISJUV5OPt1Ji70CPPnzkNLS4utP23l1q0bmFk5UVyYhwQZ748ZR7eu3enarZPa755cVsK5De+xf+9+Llw8z/LlyyiRg46eIZmp8bRu3Y75Xyzg+0ULuRmZg5aeETF3jqFQyErvU1ZCYV46Nu6NyUmOYM2KFbRs2Ybjx48SFnaP3Nwc6tdvQLNmLXBwcGThwm/YfvAcAd0+qZCXkqI8spIek5eZgFIpJzc9Hnnafa5euYFmDabOKa3VNmDr1u1MmvYZQUMWIpFISIm+zeOb+8l4GoZDvbZYOPmhoaVLTloM+ZmJZMXfRUsT3n3nXd59530MDf/4/DZoFIBj0Mgq+x2XkRUXcGb9O1w4fwVn5+qXevw7WVmJGtFXmQgk/0NetUCyQ6f26Lh0rnYqjaiQw9hrP2Xr5p9VtmdlZfL60MGEP4pGVlKCRCJB18gSWVEehXkZOPl2wKPxa2hq6/E0/AIRV3Zg6xGET9uRSKQa5KTFcnPvbDZvXE+7dl2QySqfSBpgwMB+PIhKRi5XkJMWi6woDw0tHXQNLTC2ciUnIZTgm3cwMTElOTmZrT9t4uix4+RkZ1FSUkJCQhxm1i4UFhaRm5mIkaULXkEDKu2PlZsez72TK/B0tmT7zzvR01M/kGDr1k18NnsW/l0/Lh0lWsmLXqlUkhBxkQdnVrNu7Y+0a9eREyeOcePGNUJCbnHv/n1kSgkGxpYU5WeTkZaIgakdTfrOVNu3qjAvg9Cji/FytmL7tp1VBpM3blxjyOuD0NC3xL3xa9h6BKlM8F06kfopntzcj4uTPbt27MHGxoabN6+zaPEizp07jbmNCyAhIyUGczMLEpMScPRpj3er4WoDv9z0eEKPLaZ5k/qsWbWuQo3N8955dxS3HsTj3+0TpBqayIoLUCjkaGrpINXQIjc9nhu/fMa6Netp1qwFq1YvZ/2P65HJQc/InOKCHEqKcnn7rZGMHvUOH034kEtXLuMa2BOXgK4qTatlq7k8uXWIlKibfDj+Iz79dI7avCmVSqZNn8L+Q0cI6D4FIwunSo9TyEuIvL6XyKu7sbKyJjMzHXMbVwAykqNp1DiIjyd8TJs27bh//x59+vXEzqc7Hk36qe2/mp3yhFsHv+HN1wczb+78KvP45Vfz+XHjBtyaDMG+XusKwZ9SqSQ1OoS7J1dTlJ+BkYklBkbmFORloCgppGuXrgwe/DrNmrUo/0z1e60PyUXGuAcNobggC3lxARraumjrmRB1cy8GsjiO/la6jrdMJiM09A6FhYWlNbg2tgAsX76EL+bPxcajKW4NeqoMtCrKzyTm7gmibh2kRfOmvPfOe6xYtYJr165gbu38+7OLoWmzFoweOZrJUyZh7dMD1wa9UCjkpf2Xb/9GenwYRhaOpVNzSaQU5qRSmJ2ARClnyJChvPvOe3h4qK/hKwskU1Ky8PXzxrnZCHLTYoi6dQivZoNx8G4HKHl8Yz8xocfR1NZDW8+EorwM5CWFaOsZYGthzJ7d+7C1LW0aX7Z8CRt3ln5mysiKC4h/cI7slCco5PLSGnyfdiRHBWNcFM6+X35Vm8d/iggkX20ikPwPedUCyTVrVrJ68y/U7zVD7TFKpZIzGz8gwNuDfXsPlv/xz8/Pp3vPrkTHPkXH0II6zV//PZAqrXnKSY3h8c39pMbcodnAeRiY2VGUn8m1vfMxsnTB2NKZqJu/MGf250yZ8jEZGXmVBpIymYyFC79h7brVSHXNcWvYB3NHHzS19VHIislNj+PJrYOkx96hW7eefLngq/KX16FDB/hg/Ps4N+iLk1+n8gEF8pIinoZfIPzSzzj5daJui6EVriuXlXD3t+/w87Rh08atlQaIFy6cY9hbb9L4tbk1GkmaGnObu0e+57fDx3F0dGLgoNdISC/EpdFALJz8yq+RnfKEyOt7yUyIoNmgeWpXDpLLSgg5MJ/2LRvwv0U/VHrMpUsXeOPNIdRrNwb7uq2qzJ9SqSDi4mZy424y4aOJzPtiLi6NXsPJt2N537fSl+B5HlzYgkfjfngGVb3Mm6y4gJv7Pqd/r658MW9BlcempKTQs1cXklIykMlKKCnMKV+pRtfQAkVJAW8NG87UqTN4bUA/MvIluDQagLmDT/mzy0yKJPrmXlJi7mBuV5f6Paaonfy9TPrTB9w+9A3zv5jPm29U3r929ZqVLFqylCYDv6y0H+CzYkNPcu/Meuo0H4Kjb8fywV+y4gLiws7w5NpOPhr/IWvXr8G+/ms4+1fdRxJKfzhc3z2TmdOmMnLE6EqPWfj9t6zbsIkGfWejZ2RV6THFBdlc2f05uobmeDUdVL50aNlAk+jgX9BRZPLrvkNYWVmhVCo5ePBXJnz8EXm52WjpGKKprYespICSwlz09A35/rvvee21gWprnXft2sHU6VMJ7Dm9wsj0Z8lLiriyawa5GYnUbfEGDj7ty2eZKCnKI+7eaZ7c2MW4sePYuGkD2qau5KQnAuDWsBf2dVtVWmuakxZL/L3jxIed5v33xvLJJ1PR1q7YH7cskMzIyOPEiRMMGz4UTV0Tmg2ci76JDYV5GVzd/TkGZvZ4Bg0o78JQ1pf74ZWd5KTFYG5swKmTZzA3tyA9PY3GTQLx7vghVi6BhF/8iei7RzGzq4eFkx9SqSY5abE8Db+AhoYGi79fVL7a1KtEBJKvNhFI/oe8aoFkVlYmDRoG4N1hnNqRktF3jhF5dRd6BobM+OQj3n679CU25v13OH76PPpmjjTuPVVtbUrktT3Ehp6kzVtL0NDUorggm3NbPsbF0Zbvvv2eVq1alf/xfj6QzMvL4+0Rw4mISsSr9agqJ0cvzMvgyfU95D69xS979lNcXEzPXl0J7DUDcwefSs8pyEnl0vYZ1G35RoW5/aB0zeXLP01g84aNNG/essL+Hr26U2QcgEslg5TUibj8M372UvLy8giLzsCv68eVjmhXKpVEXN5O4sPLtB6+WO2o96L8LM5tHMvVKzext3dQ2ffkyWM6dW5H3fbjqpyC5nm3jy4hIeISzQbNVztBeX5WEhe3z8Cv/TvY1WlR6TFlCnLSuLBlPDeu31FZGq+MXC5n+YqlLF68EFMbDyw9W2FqWwdDM3skUg1kxQVkJT8mPf4eiWEnkcuKsXAOxK/T+EoHvSiVSu6f/ZH0uPu0evO7alfagdLg/cYvn/PT1m20bKm6RnNxcTG+fnXx7zG92gnb0+LucePXr2k+aF75XILPy82I58qOGRhZONJ00JfV5q1M+tMHPDixiLu3wyrUQIeEBPPagH40HfyN2lpspVLJld2zMTC1w7/T+5U+F6VSyYOz6zBSJjN92gymTZ9KVk4edj6dcfTtqLJUZ3FBDnH3T5Fw/zgGelp8teBrunZVXQkoIiKcLl070LDv5yqjzSuTEh3CrcOLaD54gdoa35zUGG7snc2It95mzbo1eDQZiEfjfjUa/JSXmciD0yuxNtFi1849mJqqDmp7NpA8dOgQ7497n6ZDvint16lUcnH7dMxsvfBpN1pNy4OC28eWkx4XSoBvXX7ddxCA8+fPMmz4ULQNbdDQ0qF+lw8rLHpQUpRH5NVdZMVc4cjh46JpW3ghNRvWKgh/ARMTU35cv5HgQwt5eHVX+aATKH353z+3sXQlmH6f4tHsTZYuX4ZSqeTp03gOHfqVgtwMArtNqHLpRY8m/dHWMyLx4SWgdL60+l0/JCc3l6Ag9U3qcrmcUaNH8DgxlwZ9Z1cZRALoGpjh3e4dLOt1o1//3ny38BucArqrDSKhdMobv45jiLy2h8p+z2lq6WLv24XVa1ZX2BcREc690Ds4VjOa/HlOfl04cGAvZ8+exqfjB2oDRIlEUjriWCol6dF1tenp6JtgX6c5mzZvqLBv6bIfsKnT9oWCSABZcREeQQOrDJr0TWzwbT+ayGu7K312z9IzssDOsylbtmyssC8xMYEu3TqxZuPPNHptHg36fo6Tb0eMLJzKgwNNbT0sHH3xajoY/25TKCoqwafDWLXBg0QiwaftSGQlBaRE367RPRtbueHRfBgLvqoY2B069Cu6RlbVBpEAj27sxavZYLVBJIChmQN1W4+gqLCwRnkrY2ZXF01dE44cOVxh3+o1q3H061LlNDOZCRHkpsfj1+E9tcG1RCKhXptRRD5+wtsjh2Ph9xothy/Do0n/Cuu9a+sZ4d6oLy2G/YBt4OuMGfse69apflfWrF2Ng0/HaoNIKP3RWbflMLVBJJTOzeoe9Dpr1q2jcd/PSpf0rEEQCaWTnzfsO5sshSkDBvWnoKBA7bELF32PZ4vh5a0BabF3Kc7PLO2WU8USogGd3kdeUkRIyC3u3AkBoHXrtvTr1x+JVELTAXMqXTlLS8cA7zYjsPTqwLC33qz2OyUIzxKBpPCP0tDQwMjUkqzkx5xc9x7nf/qEc1sncWbjBxTnZ9Fy6NcYW7li7dqAjMws7t0LZePGH9E3sce+busql0aE3+eHq9+d6DtHyrdZOgdQWCzn7NnTas9bt241oRFR+Hf5uMK8l1Vxa9gbI4eGHD16uNppVQCsXRsglxWTHn+/0v2Ovh05fvwIAwb1p1WblgQ1a0yXbp2ZMmUiNp7Nqm02fZ6Ovima2obY1GlV6QTtzyp9dj2IeebZVcbepzNbf9qqsi0nJ5s9e3biFNDthfJXlJdJclRwjWpZbT2aUpiXQVbSo2qPtfftwoZNqsFuYmIC3Xp0oVDHmcYDFtSoe0DsvRM4/76udVUkEmnp5+72b9WmWcbRuy337t0lIiJcZfumLVuw8VY/uXeZguwU0uPu4eTbodpj7eu2oiAnhZzUmBrnTyKRYFOvM2vXreWXX3axdu1K1q9fzc8/b+HggX04+nWp8vzoO0dwCeiq0j+20utINbD37YKJbT3s67SsNlCTSKTYejalyYD5fPnN1+zcWTrnYW5uDrt2bcehmnxBaS1tdvJjHL3bVnusg3fb37s7VD2dUKV5lWrg22EsaXnw1VeV9ze9dy+Uhw/DVbqCRN85ikv97tU+C6mGFs7+XdAxsmbturVA6YDEQ4cP4t9xbLWfW/cmA3iakMTVq1de8M6E/zIx/Y/wj0pPT8PY3IGAXtMozMsgNz0OiUSKkYWTSl8wiVQDQxMrkpOT2LR5IxoGtlg4qq/te5aFky/3Tq/9Iy2JFBvvzrw1YjjFRflIkGBiao6vXwCtWjRn8OChrFy9EvemI184UAOw8WjO04graiehfpZEqoG5gw85qdGVzrOoo2+KtoE5sVk62PoPRqqhRVFeJlFhp0mKOotMJsO33egqRxqXSX/6gOCD36FQyLF0Cqj2eCid1zLi8vYqj9HSNSQ1JZEGjeqTlpqEXCZDW1cfDW0DZEVVT5v0vNyMeAzM7KvtBwilk8mb2dcjJy262honExsvUpKeUlxcjLa2NnK5nDeHDcXAvmGlcxiqk5MajUeTqvtllrFw9CUqpGLtnTqFeenoGNuUrnNeXIQSJSam5hQVFuLZquIURhXylhaLkaWL2tWjnqWhqY2RhRMx907i23ZkjfKXlfyY5Mc3SIm+RVxKLtoGpYFUbno8JXI5j67vxTWwB4bmDpWen5MWg2MNglwo/bGXEHGxRseWMbJwIrDXDKZM/YTGjZsQHh6OmbUrhmb21Z6bkxqLiY1njb7vmtp6mFh7kJsWi4Fp5fM9VkUi1cC7/Vg2b/2EQYMG4++vOqJ6zbo1OPh0UAn6clKjcW/Ut0bpmzv6kvTkBvv372H+Fws4c+YU+sY2VU6xVkYq1cDetxPrf1xHs2bNX+zGhP8sEUgK/ygTE1MK8zKA0uZhdUuHKZVK0lOe8u6Y0RQUFGJhpgc16HtWSlKhqcbGrRGPb+yjy9gtABTmppOVFMn2Q5f5ftFCpJra1KvFSwJAqqlV4+YuoHywgTo6+qZYuQaqrNxh59WMwtx0HlzYwsUdM2g2cF6Vy66lxtzm5oFv8e80lpi7x6Gmc8xJJEDleZMVF3D35CoSI69i49EM5wY98Ta1K13iMj+LuAdnubp3HvrGNgR0+QBjy+r7XWUlP0ZeUlSzvFH9sysj1dBEIpFSWFiAtrY2y1csJSkjn8YDhtX4WsDvk1HX7HMnkUhAqX4mgDKFuencOb6C9Pj72Ndrg3P790oHq0hK+9HGhp7gzvFlxIYeJ6DLeJWl8VTzpnihuQM1NHWIuXMMY0vnCmuPP+/JrYNEXN6Bc0AX/Dq8i56x6mCasjlHL26bil+H93CopGbvhZ5d6Qk1vZVypjaeOHi3Y936tfh4+6Bd01pDpeL3i9ZQDT936ugZWeIU0J3lK5az8LtFXLt2hbt3Q4h89Ijfjh7Dp6PqxPQvMgm6RCJBItFA39iKkaNH8CDsPoaOjWqcN1PbeoTf3/1C9yP8t4mmbeEfkZOTzcWL58nPzyM3K4mMhIgqj0+LvYNEqolXq9Fo6RphYGpPZjXnlMlMiMDguVoJTZ3S2jItHQO0dAwwsnDC0ac9fp0/pP3oNTh4d+D81k+IDT1Z43sqKconKuQwIUeWUJibTlF+VrXnlI1WrarWRPb7xN3P0zU0p37Xj7ByacD1vV+oDcDys5K4eXAhgd0/xr5uKwzM7MlMfFije8pMiMDAtGLeiguyubRjJkqFgg6jV9O491QsHH3RNTRHR98EI0tnvFsNp9O767Cv15rLOz8jPT6syms9Db9AxKVtFOamUlKUV23elAo5mYmRNaoVKinKAwkYGhqRm5vLokXfUa/d+2r7iKpjaOZAZmLNPncZap7ds/IyE7m4fRoGZvZ0em89AZ3ex9TWCx0DU3T0TTG18cS/4/t0eu9HTGw8uLhtGrnp8Wrzlp0Sjayk+r6PCrmM7NQo/Du9z/0zG6osmye3DvH4xn5aDPkS71bDKwSRZdf2bTeKoP6fc+/MjzwNv1DJMTX/zmYkVvzO1pSDX1e2bfsZhUJRo0AewMDMnuzkKOSykmqPlcuKyU6JqnX+ylg4BfLrr3vx9avDhCnT2X74OqFJehQVl07e/ixDc4eaf2cTIzAws0OmkBKVqkDXyrvGATwAEkqfnSDUkAgkhb/Vw4cRTPz4I3z96jLmw4l8Ou8bNLT0ubrncx5c2EJRfmaFc+QlRYSd34p7474YWTiDUomzf2fiw87U6KUZfecIzv6q/aSUcpnaQTraesb4tB1B0wGfE3F5Ow+v7Kz2GgkRlzi59h2SHt/Ap+1IbDyaEHuv+iA0LTYUhbykwko4ZQpz08nLeKp2AEDpwI4RaGjpERd2ptJjokJ+w75OS2zcS5tHnf07Ext6okYvzeg7R3AOUH12CnkJ1/d/hamtJw16fFxhEMSzpBpauDfsjX+nsdz49StyMyoPglKib3P3xCqaDpiDhaM/cfcrv5dnJUfdQkNTu8oBTWUSIi7h41uf1atX8O67I5Bq65MSdYv0+PsvVLPk7N+ZmLvHUSjkVR6nVCqJvl3x2T2ruDCXa3vn4ezfBd92o6rss6qprUe9VsNxb9SXa3vnVfojxcDMDg0tHZ4+OF/tfSQ+uoaugRkO9drg1XwIkdf3VHpcVvJjIi5vJ6j/7CoHoZQxs6tDk74zuXNiBQU5KSr7nP07E33nCMpqgrvSZ3e0wne2powsnNAztWfr1k2kxN6nuKD62SqMrVzRN7EhMfJytccmRFzEyMKxRs+jMkqlgsfBB7i2bx4OPh1oOvgbmgz6Fu/2Y3Br0AstHX0UcpnKOc7+nYm+faTaz6pSIS/tT+nfBamGJo4+7bF0DiA7+UmN85ed/Bg3V9fa3JrwHyUCSeFvc+LEUTp36cD1h1k0H/o9QYO/o0G/ebQduZpmA+eRl5nIuS0fk5NWujyYUqkk4+kDLu+ejZ6xJW6BPdHWN6aoIAs9I0vMHX0JPbWmyhdTbOhJctLicPBuo7K9IDet2n54prZetBjyJTGhx4m+c0ztcTF3j3P35GqCXvuMpv1nY+PeBI9GfXl0fS/ZqdFqzysuzOXe6bW4Neyjtik85u4xbD2bVZlXiUSKe6PeRIX8VuFFIy8pIvbeSVzq/zHoxcTaHWNrN+6fXV/liykq5DCFuWnYealOr/M0/CIKuQy/jpVP4VIZ+zotcA7oSsTlHRX2KRVy7p5YQUCXDzCzq4N7o748vLJTbdAJpdMO3T/zI+6N+1XZ5KeQlxD/4BwRl7YSGfmQTXtO8SRLHxvPVuRlJXLr8GLObZlI9O0jyIrVj6ItY2pXFz1jax6c31zls3t8cz9yWZHaaa0AokMOY2ThjGfQwGqvW8a9UR9M7eryJPhAhX256fGUFOUTfvEn8rOS1KZRmJtO2LkNuDd+DYlEgpNPe9Lj7lV6TlTIYVwCur5Q0GRmXxc7z+YVvjMWTgFo6RgQcWlblec/vLoTqYYmVq6BNb7m86w9mvHkaRZ6po6cXPcOt48urXZQlkeT1wg7t4mCnFS1xxRkp/DgwlbcG/WrVb7kshJuHviWuHunaDF4Af4dx1ToU6qtZ1IhD9auDVGi5JGagB9+nzrp4s/o6Jti5uBNYW462nrG2Ho1JzvlSfnf1aoolQoS7h9n5Iia9ZsVBBCBpPA3CQ6+wTvvjiKg+yfUbfU2Bqa2KvtNbb1o1GsKHo1f4+K2qQTv+5xT69/j+v6vsPVoQqOek5FINX5v7vMg4eElArt+RE5KFDd+/YbslCiV9ArzMnhwYQth5zcT9NpnFSYKjrt3Eluv6juT6xlb0bjPDB6c30ReZmKF/SnRIYSd30yzgXNVasbM7Ovh3fotruyaRWzoSZVmZ6VCTtLjG1z4eQpmDt64Bvao9NolhblE3zmKa/3ule5/lrV7E0oKcyo0f6VE38LAzL7CiOSGPT4hPe4+wYcWVnjBFOSkcv/sBh5e3UVQv1loaKrW3Ebf/g33hr1euFnYNbAHSY+uVah1To66hVRDC1vP0umYLJ398Wo2iEs7ZhJ3/zRyWXH5sUqFnMRH17i4bRrW7o2r7NuXn5XEuS0f8+jGPuq1HkGHd9bj02k8Pm1G4N16OAGdxtJh9CrqtnyTxMirnP5xbLVdLCQSCY16TyXp8Q1CjiypEOwWZKdw99QangQfoEm/z9Q+I8XvNUfVBcKV8WjUl5jQ4xVqlOPDzuLk2x63Rn24uH068Q/Oo5D/cYxCISfh4WUubp+OQ722ONQrna9SS9cQO68WxD84p5JecWEuT8MvVFmrqo5LYHdi7h5Tub5EIqFx3xnEPzjH7aNLyctMUDknPyuJ28eWExt6giZ9Z75Yc+xztHSN0DO2otnAebQbsQxdQ3Ou7JnD42D1q7bYeTXH2b8zF7dN42nEJZVaQYW8hKfhF7i4fTou9bth69n0hfOkVCq49dsiZMUFtHz9a7VTNNl5NSfu/imVbRKpBk36fkrU7SPcPbmqQtCfl5HA7WNLSXh4iUa9p5MWexeppjZGli5oauni5NeJsHObUFZTkx5z+whaUgU5Odncuxf6wvco/DeJCcn/Q/7JCcn79OtFjnYd3Br2qvbYO0f/h4+zISdPHqf1W8vQf65PVvyDczwJPkirN75FVlxAxJUdxIaeRN/EBj1jK2RFeWQkRGDr0ZQ6zV+vOPluYS4n171Lm+H/q3Leu2eFX9pGVtIjgl77TGX7hZ+n4BrYo9IJxQFSom7x8OpuclKjMXfwBomU7JQnSKQaFOSk0Pm9DWjrVZxsV15SxLV989EzsqR+149qFGzcPPgt1q6NcPL7I7iKCjlMRkIEDbpPrHB8SWEuEVd2EnfvFAZm9ugaWVBckE3G03DM7etRv+uHFZ5PVvJjru6ZS8d311UIMGsi+ND3GFu5qNTCXds7HyvXQNwaqH42kh5fJ/LaHvIynmJmVxckUrKSH5X2e1NCyze+UzsyPjcjnss7P8M1sDueQYNq9PziH5wn9OQqGvWeprarQZnigmwiLu8gLuw0RuZOaOuXLlWXkxqDlo4BLd/4Vu2gGIDEyCtEXN5O62GLXziQBLjw81TcGvbCod4fNe23jy7F2MoNt4a9SHh4hUfX91CQnYKpXR0AspIeoa1njEfjfhUGw0Re/4WC7BT8O45ReR6xocdpNnDeC+cP4Oymj/Bt/y6Wzv4q24vyM4m4tJ34B+cwMLVDx9AMWVE+mYmRmNp60rDXlCoHjtVE7L2TJD2+QePe08q35WbEc+2X0q4E6lZEKsrP4uzmCWho6qCQF5fP3ZmZ+BBZcSG+7Ubh7N+5Vnl6cusQMXeP03Lo15WugFOmqr9PhbnphF/aRkLEBYyt3EtbaH7/3Dl4t6VO89fR0Tfh+v6vsHD0KR/pLS8p4sqeOegYmBLQaWyFFg6FXEZUyCEeXNiKuY0zegZmZCQ9wtnZhbmfz6Vt28r/vv1dxITkrzYxalv4yz169JCQkGDajRpbo+NdAntz+dCXGBubUlKQDc8Fkraezbl3Zj1pcfewcPTFp80I6rZ4g9SYOxQXZKGhpUuDHpPKlyR8XvSdo5g7+tY4iATwaNyPE2tGk5eRUB6YZiZGkp+dXOXSf1auDbBybUBOWizZyY9RKhV4NO6HmX09buz/kriwM7g37K1yTmZSJKEnV6NraEFA53E1DjSkUs0KTWKFeRlqayG0dA3xbTeKei3fJDXmNsWFOWho6eEZNJDbR5Zw+9hy3Br0wNq9SXnNWnp8GOaOPrUKIgGs3RqS8FB1jrrUmDsEdB5X4Vgb9ybYuDchOyWqtIuAUoFnk/6Y2HoRfnErF7dNxTNoAA7e7dDS+WMwUlF+Fld3z8G9UT88GtdsyhQAh3qt0dTW4+bB72gx5Msqm3O19Yzx6/Au9VoNIzXmDslPginISaP9qJWc/+kTMhLCqwwkMxIeYuXaqFZBJJQ+x7S4e+WBpFKppDAvExOb0lo8O69m2Hk1Iyv58e9zRSrxajoIExvPSq8pkUgpLlT9oVmYm4bOnwjodI0sKS7MrrBdR98Uvw7vopDLSIsLLV0+1MCMlOhb6Bqa/+kgEkpXvdHSUZ0Sy9DMgaYD5nJp+3SMLJ2xcW+isj83PY7r+7/CoV5rvNuMJDv5MbnpcQDUaTaEW78tLl1Huxbys5KIuPQzzQZ9UWUQCaXfS/u6rXh881f8Oryrsk/X0Jz6XT7Ap83bpMbeLR0wqGuApXP98j62uenxpMbcpn6X8eXnaWjp0HTA59w9sYqT697Dzqt56ZKyUg3y0uOICvkNqYYmTfp9ipVLIPBHLezbI9/6P/bOMjCKq/3b10rcXYkLCQlJgJCgwd2tUKRIaak7hRq0lLZUqdAWaCktUIoWLe7uSYgbcXfP2rwfUvIQYruB8jzvv7m+ZffMmTOT2Zl7bvndrPn2e0aPbnyf6qCDu3QYkv8Fzp49y+rVq0lOTsbc3Jzp06fz1FNPqfVQUSgUPPbYY+jr67Np06ZHsNoH59Chv7DzCG1TAPsuJjbuaOsZExzkR0LcqSb6ZxKpFr5h87l58HP6TP8EfRMbJFLthmKS1si/c4Pk63voNXWFRscg1dbDwSeM9Khj+PSbA9SHeJ38h7XaWecuRhadmhgmzgEjiTy2BkNzR0RAdXk+d24dQFZdjmu3MXgET9JIRkhRV8md67sounMRLW1dZLXVVJYVYNSG7I5ES6dJLt/A+T8QefwH4k6tJebkDxiaWKJSKSkpyMa+c78WZmobqY4BCtl/tCWVChkqpQztVgp2jK1cmoTmffrNwcLRjzu3DhB7diMOXqFo65sjCEryU65hYuuhkRF5Fxu3Hrh1G0vc+c0Ej2+5B3zD8WjrYesRQm1VMQpZNbqG5nQfs5hrez5Eqq2PtUtQs9spZNWtGppt7lfHgOwbe6nOj0Ms0aKmqhSlXEatlVOjcSbWbm12ZQKorSigIOUqV7e/gY6+CSqFjPzMBKzV+E21iKBCdJ+mjiAIFGXcJunqThSyWvrMWNVQrCUIKpKv7sQzZFq7Dey75CZdwbmZkLyBqS0+/Z8g4dI2zB26oFLKKM1NJOX6HkrzU/AKmdaQbmBq69FIn9TExp3SvKT6yIKG3Ll1AAefMLX+FwCeIdM4v3UxJjbuzQrM16cjNE3Nqasu4+qeD/HqNb1JpEOqpUvQyJepqSgiI+oYOQkXKcqIws3dDTNbN7pPWNaoX7lYooWj70D0jK157vlFhIUNwNCwwzPYQVM6DMlHzM2bN3n22WcZOXIkL7/8Mjdu3OCrr75CpVLxzDNte+zWrVtHVFQUPXtq1nbuv0lpaQkSnZYNheaQC1qcPHUSpVKJjWdfzOw7N/re0SeM0txEzm15ndAp76t1g74buuw2ZrFaXUzux9oliKRrfzb8XZITT8CwFzSe5y5WLoHUVZdQFrMbqZYUGxtbai0M0Q4YiWsLeZMtoZDVUJaXwF9/HUOlUlFVVYWRkRG2tvb0DAmiqjRHI/FkqbYeyuoCPvv0M3r06IFMVkVVlYxTp06y7eBFTQ+1AaW8tpHo811Pp6BUgIY5l9au3bB27cbFLS8yvE8XjIyMEIvFrIk9jWfI1Hav0TlwFEnrn6SmvKBZqZvmKM9Pach5M3fwoduYN7h54HNcgkbjEjASHQPTRuMlUh2N9DLvR6WoY/KkySyY/yS1tXWYmppSVlbKzNmz8OozS6P8VaVCTn7yRXbv2odMJqOsrBRdXV3u3Elhzc9b2rU+QRCoKEonO+401eX5iCVS6qrLyIk/jyCocO46ApfAUY2uBVv3nkSfWk9pbiJmf4fj20N5wR0qizOx82ranx7AzqsPt0+s5ciax9HR0UPf0BiJviVDFv7cyLN9P9Yu3UgN/6tJBKEtlPI6MqNP0mfGKrW30TO2oueEd7i8azkKWQ0ugaPaNK6rSnO4sms5Nu49WxUv1zOywKvX9PpwfXkaWZkZBE/5qJEReS8Wjl0ws/Nix45tzJv3pNrH0MG/hw5D8hGzZs0aOnfuzGeffQZA//79USgUrFu3jnnz5qGr23LYIy4ujrVr12Jlpd7D7X8FfX19BKXmD03P3rMpTA/n0s73cO8xASf/4egZWVBXXUpm1HHyE88xecJ49ux6BxuXIOy6DMeik3+jG65SIScn8SJpEYeoLsuj56Rl7X5Imdh41IenVUpEYgnyuiq09NruKNMSIpEYfQMTNv22GReXeiPk0KGDvL70HVwCRmrklcmKO0tQUHcCAhp7wARBYOzYCVy/tZ/OYQvUNjBK85KoLc9nzJjxGBjoYWZmQElJFaWlZazb8KtGAsn3UpIdh6K2ityky0i0dJHXVSPVMaCiOANTm7b7Id+PUl5HdXkRTz/9LE5OzuzcuQ0Tq05qe36aQ1vXEHuvPqTdPkrnPjPbHC8IAkWZ0djfk69o5RxI78c+IvHKDk5uWIS1a7f66ntdI1RKOTXl+chq2tYZbYnqwhS6jhxPYGC3RuuwsbYiL/kadp4t95G/n9ykS7i6uBIa2rg6v7Kyko8+XkllcVaL3WpaojgrBgNdLWaMG0hObi5Z2Xe4evsa/sNexNq1W7OFNGKJFCf/YaRFHHogQzI14jBOfkNabAcokWrjFjSSEG8zvvxiNSNGDUdkF9aqEQlg69mb6NMbKM1NVKvv+V1KcuLQM7bWOCxuYuNO78c+4tqelWREHcc5YCQOPv0bhcYFQaA0J4Gs6CNkxV9AR98U37D5av02s6OPMXDAIE5fuNLm2sxdenLi5MkOQ7KDZukwJB8hMpmMK1eu8OKLjbsWDB8+nJ9++onr16/Tt2/z+XZyuZw333yT2bNnExER8SiW+9AICenFD+t+QlDNUytUW1NRREVROnZevXEOGEFRRhQRR74m+equ+hukCEaMGMuXO3bTvXswy5at4PffN7H+5/XEy1WItE3QMTBFUVdNWf4dDExtcQ4YiZ1Xb436Zt+PrqE5KqUchbwWLR0DxBItVGpoMbaGQi5DR+c/XpmhQ4fDG6+Sl3yloYpZXldNVtwZyvJS/vbo6WJi44ZD5/qHn0JWQ1bkAb789D8ej9jYGH76eT07d/5BbU29rE3KrUNYu3bDOWAk1i5BLf4vFPJaEs6sZ9GiZxqtDaBfvzC0xAJFmVGNOu2og1JeR278Wfr3H0Bx3nkqqqswNjLBz7czWdHH2mVIZiecx8fXHyen+vD9lq1bsfZWrw1fazj5D+XmX1+qZUgWZUYhqJRY3KdnaWTpRLfRr1FXVUp61DFiz2zA1sYac3ML/NwsOHP6lsaeYqivqs9PDWfy5MbeQpFIxEsvvsS773+AhaOvWm0ma6tKSLmylS9WfdLkO0NDQ6ZNm8H520fo3H++RmvMiTnKwoVP8eorbwDw44/fkVWm1Wb6iXPX4Zz59QUK0yPbLHhqjuKsWLLjz9F/1letjjO178LtqHp5osSEWHp0bbtNpkSqhUfIFG4f/4E+Mz5ts2f4XUrzkjFpx7UN9SkxA+Z+R17KNdIiDhF37ldMbD3Q0jZAqZRRWZSBRJDx1FNPM33D1wwdNpCCtPAWUyruUlmSRVb8ed589jvOX7nV5jokUm3kckWb4zr4d9JhSD5CMjIykMvluNwn9ursXP8QTE1NbdGQ/O6775DL5bz44ossWLCgXfsXi0WIxQ+We9Qe+vfvj5mpEfl3brSqq3eX9NtHsfPs1fAgtOjkR7/ZX3P5j9f48tNPGD16LNra/zEIbWyseOWVV3nppZc5fvwIjz8+Hb/Bi5DqGODTjPTNg1JdloeesTXa+iZUlmS1e/7aymJUSjlWVpZIpfUeGqlUm3Vr1zFzVr0BU5AWTlbsWczsO2Pp1BWptj4KWTV5ydeIO/cbdl59kFXk0ic0mDFjxlBZWcG8BfO5cvlSvdjxY59iYGpXX0xRU0FW3Fliz24k+tRPdB/zRpP8U1lNBZGHPqV7V2/eeH0xYrEYiaR+bRKJGB0dLZ5auJCNOw5rbEhmxZ/Dz78rf2xt3Ls7LS2VXr1D8OozR60+0feSG3uMle8taTh/+fl5WAa03u5PHQzM7KmrKm1znCCoSLy8HeeAkS0a5joGpniGTEVQKenvZ8anq+qjES++/AJXbh/Bu99cjdaWGXWUMWPHY23dNDIxbtx4/jr0F5d2v0f38e+h20qLwJryAsIPrGT61MlMmtR8FfMzixaxfVBYfXqJml7C/Ds3KUwLZ97cXxr+LxUVZYikrXv8oP5lLXDky9w48Bk9J76rkWeyLD+F6/s+IWDo820W0mnpGFBUUY5UKqaurlbt/G3XoNHkJl4k7vwmfNXsUV7fUMCp7YEtIJZIsfPshZ1nLypLsqgoTEdeV4VEqk1u4kVmTxzIkiVvA7D2x7XMWzCfgFH1naaao7Ikm/B9H7J06dv07duPkoLnkdVUNKsecZfy3DjCBvg1/D876OBeOgzJR0h5eX0Fo6Fh43CogUH9w7OysrLZ7SIjI9mwYQNbtmxpZEBpirm5wQMnsbeXD5a/ywsvL8bExqPVh1tJdhyptw7Qa9qHjT7X0tHHsesotm3fxvz5c1rcftKk8YjEYmw9e6Gt2/6wc3PIaipAJCJi/wqqKiuQSCWk3jqAfQu5WG2RGX2MiZMmY2fXWMJmwoQxfPzRCl59fTH23v3pN/OLJhJG7j0mUFWaQ9LVXZQVpPL+8t8QixUMHzkMmZYtYfPXN8o/A9DWM8I1aDQugaPIiDrO5Z3LCJ74Dub2naksziIr6giZsad4fMZ0fvzhe6TSxrcHY+P6h+2LLz7L9z98T2b0CRzb6NF8l4qiDJIvbebPXdsxM2tsLJqZdWHo0GFEnduA7+Dn1b5G0yMPI1FWMXv2jIbfRW1tTZPjbg935V/upjG0RFrkEWQ15bgEjm5zThNrN27eOtlw/O++vYTuPXpi7hTYUCnbFkWZ0WTePszOdRca5pHJZOzYsYMvV39LRPhNzCztUSpknNrwDI6+A3HtNqZR6LKiMJ2s6CNkxp7h9Vdf4YMP3m/xnPfsGcT6dT/y9DPPEzBqCWb23q2uL//OTaKOrubP3Tvw8vqPTqKJiRGCSj3vvY1bMH6DnuLq7vfxDZuPg0//VgvaVEoF2QkXiD65Ht8B87Hz6t3i2LsoFXUYGhpiZmaAnl69V7+1Dk13EYnEdBv9Bhe3vYVILKFzn5ltRllUSgXidqoc3I+hmQOGZv9JM6goSEVLS9xwLUybNgltbTEzZ83GyiUIO5+hmNp6UpQZRVrEYapKspDVlDN92mTeWvoGWlpaDBo0mDu3D+PRs/m84rqqUrLjz/Pynz82+e120AF0GJKPlLv9S1u6aTeX7FxXV8eSJUt44okn6NpV81DPvRQXV/1XPJIAY8ZM4uat2/zy61t4hy3EyiWoUZ6UUiEjK/YMsWd/xX/oc82K9Tr6DOT4urlkZOQ1Mcbvxc3di/L8ZCydAh7qMZTlJ+Pl7culC/Vt1CorK/Hu7EFlSXarvbLvUltVQsbtY2TGnqG2sgilQkamoTHDho/hmUWL6N8/DLFYTFZWFis+/BifvrNxCWpZd9PA1I6AYc+TGu7GkKEjcHFxRaZtj++g1iWDRCIRTv5D0dIx4MrO99DS1kEsghnTH+fJb0/h7d2Zioo6oD6vVSIRY2ysR3l5DUqlCrFYl107dzNm7ChUSjmd/Ie3ur/SvCTCD3zMu++8Q48evSkpadpH+9tvvmPwkMHEnV5P57AFbT6cM24f487VPzh86ChVVXKqquqNFAMDQxR1bXeoaQu5rBqJlm6r6yhIvUX8+c2ETl2hlhySjoE5qfn5DcdvZeXAhp83MnfeHHwHP98gcq1UyCnKuE1ZXhJVpTkIggptPRNEIjHZMcf5af1PODi4UlJSRXj4LRY+9SSVdWDXZSRDF718jwxMJmkRhzn/+2IkWjr1oViVHIlIYObjs3nyx5W4u3tQWlrd4poBRo4cz9dfKXjhxeex8QjF3ncIspoKSrJjKS9IRV5XjaBSoFLUUFdZxM8/bSQ4uE+j/7OxsRmK6pY7xtyPQ+d+6BqaE3NmI3HnN+HkPxSnrsPQM/qPF7a2spj020dJizyKjoEp3ce+ofZvvrIoHSd7B0pKqvDw9K7vnX1fk4SW0DU0r89d3PsRFzOj6Trs+ValoiRaOihlbbdybQ+Csg6RSNroXIeFDSX81m02b97E2vVrKSgoQFvXEJegMXTyG0JtZTGHT57C3cObXTt38+SCJ5k563EQSXHrPr7Rc6i2spiIgx8xZ85cTEysmv3tPgo6DNj/bToMyUeIsXF9qPZ+z2NVVf2PsznjaPXq1ahUKp599lkUivoclbsa8gqFAolEorYHR6USUKn+e/rzby19F3c3d1Z9toqEcz9j7twDqbZ+/RtvwgUMzR3pMW4JFp38mt1eS9cQHR19CgoK0dVtOUwW0rMnVxOjHrohWZIZRWjPEBSK+hcCXV19pk9/nGMXfiNg5BstGh2y2kqiT64nN/kKNu498R+yCEMzB8QSKfLaKrJSrrDgqUUY6GuzcsVH7Nq9C1Onnq0akffiEjiKkqwYYuKiGPTkT2pfD3ZevSnOCKdvgCMrP/ykodDr7vHdj1KpQqFQUVlZwdmzZzEwMCT69C+k3DyAW/fxOHTu3+ANFAQVhemR5EQfJT8tnM8/+4pp02a0OLe+vhEH9h/isRlTuLpjCQ7+o5vktN6d887N/RRlRmFhYcGFC+fx8PBuOGZXF1fS8pObiGBrSllecovhUUFQkRZ5hPjzW+g25g21C3sElRKxWNLoHAwYMJjft2zjibmzyIzYD9pGFGdGo2tkiZmdNyY27ojEEmoriynOikGlUrDx19+wt+9ESkoSL770PO6hj9O56/AmBSyG5o50GfgknfvOprosj5rKIjJvH0KoymbhwqdxcnJu8f9xP2PHTiQgoBuvvvYiF3a+h66BOTbuPXHo3B8tXUOUChkVhWlU5sby1NNPMmPGLN5+650GuZgRI0ax+M038KwsbjUicS8Wjl3oN/MzSnMTSYs4zKkNzwICevpG1FTX30PtvPrQY+ybmNp5qX3dC4JAbuxx3ln9JQqFil4hoRy6GKVRgZKuoTl9Zqwi5fqfXNi6GDN7Hxx9B2Bq44m+qS0ikQilvI6ygjvUVhTW6+H+A9SUpuPpOavJ/9HU1IIFC55m8+9bMHLogXe/JxpdHy6Bo4g68SP9BvQHlRJ9YwuSruwg+douzB27YOHgR3VRMjlJV5g3byHLl32g9rXSwb+Pjs42j5C6ujqCgoJ49dVXefLJ/1S/RUZGMnXqVDZt2tRE1mfQoEFkZbXcc/jjjz9m0qRJau3/v9nZ5l4EQeDcuTMcOLCX3//Yimu3Cdi492wz11AQVBxdM4PwWzEtVq6rVCrWr/+BDz/+mMELN6idEN8WKqWcs788zZ+7/mxUGV1VVcXosSOpldriM2BhE2OytrKYy7uWYWrjgU//J1oUSRcEFXkp14k5sQZZXQ0D5q/VSJj5+r76lmtevR7T6LjKC+5wffcyvvt2DZaW1nTp0gUjo8ZFGlKpuKFq+/jx4zz/wrNoGdnj4D8KC8cu5N+5QWrEIUpzE9E1MEckFlNXVYogqHCwt2PjL7/RpYt6hl1kZAQTJo1BiTYKWS2WnfyR6ujXP5TzkhEQcAkYgaPvQErzkkm++Cv9e4fw7Tdr0NbW5vTpkzz93PP0nvXNA7XYu7rnQ6ycAht1Yqqvzo4i8fJ2ZNVlBI54qUmOaWtkRJ3AXJnAtq07mnx3/vxZFjw5D6mxI537zGpxXllNBRm3j5JyYzcqlYrgCe9prGuYdGU75WkXOH3yLKam6l1jmZkZzJ03h5yiCjz7zMPMvnOLhltlSTYpV7ZSW5TMzz9tJCQkFKlUzKJnFhKZAR6hml2jd7lz6yC6lVF89813LFv+Hqnlhnj1mqHxPIXpt0m9uI7wm7cRi8UkJiYwZOhAwhasb1MsvDnkddVkxZ4mN/kKJdlxCEoFUi0tFHI5Dp1ccHdz41ZkNH3nrHmoqUUqpZwTa5/gyuUb2Ns3rarfunUzH3/1Pd0nrmiy38yYU0Sf3kDnvrNw8AlDqqWLoFKSn3qT2DMbsLYwYfq0acyYMRsbG/UbN/xTdHS2+d+mw5B8xMyZM4e6ujr++OOPhh/3Z599xvbt2zl37lwT+Z/4+HhkMlmjz5YtWwbA+++/j6OjI2Zm6j0M/lcMybvIZDL8/DvjN2qJWhW7Bam3yLy6kZs3Ipu9IR85cojFS96gViZQW1eHR/BknAOGP5S1pkUcRpV/hVMnzjT5rqioiGnTp1BUCa7B0xq8IwpZDRe3LcXSKQCf/nPVeohUFmdyYeub+A95ptWOOfcir63k+LoFDFqwtoleoTqc3fQKErEKqURCcX46dnadGD9+PPPmLsDJybnBkFz50So+/mQVncMWNpuHVltZTF1VCSqVEi1dQ3QNzUm5toO8uFPs3PFnE2mi+0lLS2XosEE4dZ+CU9cRlBfcoTQvGUVdNRItHQxM7bHo1KWRgSivqyLi4Cf06ubLjz+sQxAEugcH4tBjNnpGVtRWlSASga6RFQamtmoZl9VleZz+9QV8w+ajrWuIrLaC8vwUijJjUCnluASOwiVwtMbdfWJO/sDU4cG89triRp+fPXuaOU/MxKvffBx8Bqh1nVSV5nB93yeY2npp1P0I6g3i6OPfEeRpydof17c5Pj09jZGjh2Hm2heP0OlqS0hlxZ0l/sx6Nv32OwMHDiQuLpLhI8fRa+ZqjfOXlfI6rmx/gy9XfcKoUWO4ceMaU6ZNJmTaKo06VCnlddzYs4xnFsziuWf/o54xeepE8mUWePZ6HKj/HeYlX6MsP5nqsnwEQUDXwBRjazesnAMws/dpcs5Lc5O4sed9jh87jampKYaGhujp6aFQKPDr6oPPkFfbzDHVhOz489SmHef0ybPNfj946CC0HAc0uY/UlBdw5reXCJ36QbP3XVlNOVd3LOWLVZ8wdqzmov7/BB2G5P82HaHtR8wzzzzDvHnzeOmll5g8eTK3bt3i559/5vXXX0dXV5fKykqSkpJwcnLC3Nwcb++mN567xTn+/g8Wvvtvo62tzZw5c9l34hDVzkFkRB2nqjQXkUiMoYUjTv7DGsnUZEcf5qmFTze5gdfW1vLyKy9y7MQJvMMWYuMWTGluIld3f4C1W7dGeVXtoaa8gOTLv/Pn7r3Nfm9hYcGBfX/xzbdf8cvGL5HoGGHtOYCSnHh0DMzx6f+E2g96Q3NHgie8w7U9K7FxC1arcKS2shgtPaN2GZEAZvbe6BlZ49FzUr3nLz+FQ+fP8NPPoQwdMpwvv/iC/ft3serTzwme8mGjZP970TU0bxK29Oo9G31TRyZPmcDxY6cb9DLvRxAEZs6agZ3fCJy6jgDA2Mq12VzZe9HSMSBg9BLO7nqHX35Zj6urO/r6Blzb+zHaekZ//+8FqkpzEVRKbNyCcQ4ciZmdd7P/E0EQSLr8B15e3liRSnVxNbdvXsep60j8By/CwtFXo25Dd1HIashOuMCEHz5q9HlaWipPzJ2F37CXsXbtrvZ8BqZ29J62kovb3yHl+h7cgyeqva1IJMKr3zyObX6Ra9euEBwc0uJYmUzGjMcfw8JjIB4h09TeB4BD5/5ItfWZM3cWly5cITQ0lNGjRnL6r08JGvu22kVRKpWSqGNfE+Tvy/DhIwHo3j2YF557gbU/f0i3Ce81+xsXBBUFqbfIS7mOvLYCpUJOVVE6jrYWzJ41t9HYr75YTf+wPugaWZMZe4by/BRsPUKxcPSjk58dIpGI2soiSnOTuPnXl2hp6+PVe0ZDdxmFrIbYk9/x/vsf4OnZWGNSKpUyf958dhw8+NAMSUEQSLq6E1d7cy5fvkhISK8m13NGRhqB3ZqmXaRFHsHOq3eLL+/aesY4dZvI9z/+8D9jSHbwv02HR/K/wLFjx/jmm2+4c+cONjY2zJw5k/nz63Xarly5wpw5c1oNWc+ePRtA4xaJ/2seSYBjx44w54lZGJjZ4xI0uj7fTBAozo4jLeIQgiAQPP4titIjyI3ez8XzVzAxMW3Yvq6ujumPTyM1pwK/YS+jdY+nI/bcJooyIgmd8oHa8h73o5DVcHPPch6bNIZ331nW5ni5XM7hw3+xfecOTp08TvDE95p05VGHi9vfxtF3IE5+Q9ocW5aXzM2DXzBw/vca7wcg+vQGtHT08eo1vdHn8tpKki5tpiDlCjJZHd0nLG+3UHTS5T8wlKdxYP+hZovKzp8/y/yFC+kz+7t2GWoZUSeIP78RPX1j7P2GY+fVt5FRKwgCNeX5ZMaeJi3iMGb2nfEf/HSTVIOUa7soTzvP8aMnMTevr6Z/9rlF3EoqxWfgUxqtSRBUlOWlUJaXRGbMKbSEKoYNHYavT2cCAoIIDOzGxMnjKRPZN3jCNKWiKIMLf7xJ3xmfaiR4LQgCsad/xlxSyMCBA6mpqUFLS4qVlTX+/oH4+fljYGDAqlUf8fvuQ3SbsKzdqQIJ53/DmBx69wrhwMEjpKWmYGBmT8jkZS2metxFXldF1JGvsDWVsmvnHvT1/5MbLQgCH3+ykp9/2YBH7yew8wxFLNFCXltJetRx0iIOIRJLcejcH13D+pQLWU0FZZm3KMtPZcaMmTy18GlcXFxRqVQsWPAEh48cwrvPLJy6DmsxzK1SKclLukL0mQ2Y2/vgO2A+0UdX062LKxt+/rXZF5Ti4iJCewXjPfA5rNrQeFSH9NvHSL7+J44+YeTEniTA349fN/7WqIVh18AueAx4sYl4+tnNr+LT7wmsnFvOIVfK6zj07WOkpuY2Ouf/LTo8kv/bdBiS/yL+1wzJiIhbTJg4Fq9+C3DwCWvyvSAI3Lm5n4RLf2BooMe+vX/RuXPjfLDX33iV4+duEDDmrSahRkGl5Nbhr6kuzaXHuCVqJ/nfpbaymMi/PiW0ux/r1v7UYgux5jhwYB9vvrucntM+a1deVHb8eZKv76HfzM/bHFtVmsv5399g2DO/tWtftw6txsTGvcXWbwVp4dw48Bm+YfPUMmybQ6WUc2XbYj56/10mTpzS5PvZc2aSXmWukWftLoUZt7mxfxVOXYfj3Wt6m73PFbIaYs/9Rm7SZUImLcPYygWVUk7ipS1UZFxn754DuLr+x5OTn59P77498Rn8oloyPUp5HWmRR0iLOIxSKcPM1hNjazekWnooFXXUlWVSmpuAoJRRU1NDvzlr0DXQrIXovcSd30RdVSkBw9tu11ldlkda5BEyok8gKJUYmNtjYe+NSKoLKhXK2mIqCu5QUphJjx6hhIffpNd0zYzU+1EqZBxbOw9b1yAc/YZhZOlM4pUdZEQdx86zNy6Boxr1tAYoL0wjK+ooWbGnGTlyDF+v/rbFrl8HDuzj8y8/Jz09HUvXEHKTr2Js5Ypb93FNOl3dpaIog8zbh8lNOMe6tT9z4OABjp06T9dRi9UOlcvrqgg//A3FWVEMGzKMdWt/Qkur5Wvv4MH9vPTqK/Sc+onG96L7137xj6X0nPQeZnZeKBVyYk58h56qmAP7/8LYuP5aenPJ65yLzG0iJn964/MEDH+x1ZdCQRA49M1U4mKT1c6j/SfpMCT/t+kwJP9F/C8ZkoIgENorGCO3ITh1Hdbq2PiLv2OszODQwSONPr9w4Ryz5syi9+NftRjWFVRKYs9tIiP6BL5h83D0CWvT4yWolGTGnibx/K/Mnv0Ey5d9gESimZfs2ecWEZ2njXuPCRptdxeVUs7hNTMZtKDtohtBUHFqwzN0Hfqcxt1AlPI6jq9/kl7TPsTY0rnFceUFqVze+R5dhz7b0HFHUzJjTiHkXeLYkeONPs/Ly6NHcFfC5q1VqxvLvZTmJXFl53ICR7yoltj9vaRFHiX+whYcvPuQn3KJzt6d2bjht2aLC44ePcRTi54iaMzSVj3MJdnxhB/5Bj0jC9yDJ2Hp1LVZT54gCJRkx5J0dTflhakEDHtebS3J+6mpKOD0xhcY8tTPLQq6y2sriTnzCzmJF7Hv3B/nrsMxtnJt8cVDXldF1Im1VJcX0Gf6x+1a173EXdhCXVUJAcOeb7Tu9MijpN8+hkRLF219Y1QKOYq6SkQqGTNnzmb+vAW4ualX0HTw4D4WPfM0bj2n4NZ9glovVYXpkdw6sAptXQN6Pf6lxrmbgkrJrYOf0t3HkZ9/+qXN8cuWvcO23XvpNn5Zu4zJiqIMLu9chmfIFFwCR/1nHYKK6GPfYmusZM/ufYjFYuLj4xg6fBDdx7/XyGi8uudDrF26Ndr+fsryU4jYv4KE+DsavUD/U3QYkv/bdORIdvBf4dKlCxSXluPr17agtXuPiZzesJCUlCTc3P7juVj2/jLce81sNTdQJJbgGzYXW4+e3D7+I4mXt+HkPwxLpwCMLJ0bvJhKhZyKwjSK0iPIiT2Ouakx2/7YSUhI+4ymgsIidAx82x7YAmKJFtp6xshrK9s0JEUiMZ38hpB8Y6/GhmR2wnmMLJxaNSIBjK1c6Db6dW4e/Bwzu87tyse08+rD8ZM/8t57S1EoVEikElycnRGLJZhYOmhsRCoVMsIPraZzv9kaG5EAzl2HUV2WS3n6ZXbv2E1QUMs5isOGjeSb1d/wwovP49p9Ii7dxzcpOsmKO0vUibX4hM2jU5fBbWp5mjv40nOiLzmJl7j115d4hk7DVU3Jp3vRM7LC0NyR0pyEZsOmBam3CD/yLZZOXRm0YF2rHUzuoqVjgCAIOHTup/F6msPWPYSbBxt71/WMrPDuMxPP0GmUF6Qiq61EUCrIij2JvlDKm4uXNFEQaImqqireee8d3HtOwa2H+l5tS6eudBu7lGt7P6K2skhjQ1IkluA/7EXO/P4Khw4dZOTI1oXply9fgUQqZeOvr+MdtrAhx7ItBEEg/fZR4s5twrvP402MQJFIjO/gZ7m89VX2799DdHQ0v/62EVltDRe2LsbI0gWvXtOx8wzF0XcQ8Re24NR1eIuFU5m3DzFr1pz/CSOyg/99OgzJDv4r/P7H79h2HqRWPpxESxdbj15s2bKJd95ZjkgkIirqNslJSfTvv7jN7QHMHXzpP+drijKiyIg6Tvrto9RWFqGlW/9QldWUI5FoMWzYCD766Sd69+77QFIdYrEIHtTZLwgarEFMcUYkpXlJavesVshqSL72Z5PcyJawdOqKnVcfok6to/sY9c77vUik2uiZ2rPn2DVMbDxQqZTIL0RRkp1AZVkRMWc24ho0Gj1j9YqjUm7sRdfIAif/1j3areHdewZXM8NJSkps1ZAEGDduIj4+XXjm2ae5uOkYdj5DsHQJwsjCiYK0cKJOrqPnpGUa55HaefbCyKITl3a8i1Rbn05dNO8VbmLtRln+nSaG5F2Zl4DhL2CrobFdXnAH16C2O/aog5GlMzUVhcjrqpp4TcUSrUZ5fNZu3bl9+EuWLH2TNd/9oNb8u3fvQNAyxbX7BI3XZtHJD9egMaRc30PgiJc03l5LxwCP3nP4cOUKRowY1eYLxHvvLqd/v/4898Iz5MYcxa7LCKzdejRr1CkVcnISL5J66yBKeS0hk5c3SQO4i1iihZ3vcF5+5WXMHbvQZUR9JzGlvJas2DNEHP2WmFM/oJTL0dLWJurot/gNfa5RKoggCKSF/0VZZgSLnv5O43PRwb+TDkOyg/8KWVnZGJh1a3VMfT7XUTKijiOrKefbyOP8+ttGHn98FoJKhY1nr0aC1W0hEomwdPJvEKuW11ZSV1OOCBHaekbcPrSKaVOn0afPg3thrK2syMlUv5PH/SgVMmQ15Q2GbmsUZUaTEb6Hl196hbU/fUz3Cctb7bQBoJDXcn3/JxhbuajVUu4unfvO5sT6J9Xu5nM/JtbuGFl0wq1742rQ8oJU0iIOc3bTy3j3mYlzwIhWiztUKiVpEYfpNuaNBzP4JVp0CprImh++Z+rUtg1qT08vjh09yYUL59iw8ReuHvuCgoJcRGIJPcYtbXcxkqG5I8Hj3+bKrmVYOHbRSNIGQEffBHld40YH2QkXiTnzC6FT3ldbNP1eZDUVaLdRDKMuEqkWWjr6yGsr2+ynLhKJ6TzgKQ79/grnz5+lb9/+rY4XBIEf1/6IXZex7b4WnLoO5/TG5/ANm6exZxzA1rMXiRc2cuPGNXr0aNtgHzBgEFcu3WDnzm38uG4tt49+g4WdGxIDG6TaeijldZQXplFecAcTK1dcgkZj59m7Tckpxy4DiTu/CY/esxs69Ui19XAOGIGlcwCXt73Jhp/rtT3nPDGbc78+g13nQRiYOVBXXUZe/CmkIjk7tu/G1tau1X110MFdOvzWHfxX0NbWRqVsufduWuQRzm56BXltOSGT3mP0K7sY/couAse9x7HLSWzYuBFDK/XFoJtDS9cQQzN7DMzs0NI1RN/CjYiIWw80513GjxtHTuwp2puCnJNwAYlUi7zkq6iUimbHqJQKMqJOEHHwE374fh1vvvkO7yx9iyvbl5Jycz/y2qa92wWVktzkq1z8Yyla2gYEDH9Ro2pcLR19HHwGkB55uF3HJZZIUamUTT43tnLBf8giQqeuIC3yKDcOfIZS0fL1UZwVg1RbDzO7B5dTsfMM5U5KMnfupKg1XiQS0bdvfzb89AtRt2MZO3Yizl0GYP2A1bimth64BI7m9om1Gm+rVMgRi//jF6guy+P2sTX0GLe0XUYk1IdtBVXz1157UKkUiNQMlWrrGeMcNIFvvv2mzbHXr18lNz+/XekNd9EzssDapRvpUcfbHtwMYrEEa7eenD17Wu1tDA0NmTt3AZcuXOHypWuMGdqXirx4tHQMMTC1wzNkKoMXrKPPjFU4+oSppVuqpWOAtVt3CtKa3scMTO1w6jqSP/f8iYmJKXv+3Mf2rdtwMakmO3wXCZe2UlWWT3l5OeMmjOatt98kJSVZk9PQwb+UDkOyg/8Kwd27U5oV2ex3GVEnSLj0B70f+4iuQ5+rbxMnEiMSiTG2csVn4NPoGJi1qGfYXvRM7UlITHooc129do2qimKKMqPatX1uzDFeeuElZJlnObvxaRIvbaU4K4bygjsUZ8WQeGkr5zYuoi7jNNv+2NWQmzV//kI8Pb3Iij3NiZ8WEnHkW5Ku7Sblxj5iz/7KyZ8XEX9+M84BI+g25nWNPLp36eQ3iJyES+06rrqqUrRb8bKaWLvRZ8YnKOqquXXoSwSh+bZsZblJrXZX0QSxRAtLB692vUQUFBRw5MhB3EM177DSHO49J1GaE09lcaZG21UUpWNgXv97EASByGNrcA4cpXHXm3sxMLXTeB0tUVtZjKBSoWugfoGJo+9ALl08R35+fqvjzp49jZVbT7WF0lvCzqs3hekR7d7ewNKNazduarydSCTCwcERJydnLBx98Or1GO7BE7Fx69GuXGQdA/NmXyIBrN1DOH/+XMPf+/fv4+Kli5i59WPAvO8Z8swWBj/9Gz0mruD0zQwGDe7Pnj27NF5DB/8uOgzJDv4rzJ79BDmJl6mrLm30uby2kujTP9Fzwjutt0wUidqlN9gaIrEEhbKpt0xTfvvtF37+ZSMugaNIvLy9WQ9ca+Sn3qKmPJeXXnqVs2cusGv7TvwdJeTd3ETCiS/Ju7kJPwcxO7fv4OyZC40KggRBICMjnaCRr9B/9mr0TW2pKc+noigDgMCRL9N/ztc4N9ObWV2MLV2oqy5D1o7+wWX5KW16yKRauvQYv5SqkhzSIpr3fFaWZLUZvtcEbWNHkpISNd5ux46t2LoHa9TOsjWkWrr1Ht/b6nvGVEo5pbmJDblzuUlXqK0sxlNDAfH7MbV1pzg77oHmuEtJTnx9lbgGv1ktXUMs7N0JD7/R6rii4mKkOu2XT7qLtp4J8tqqdm+va2jRptHbGiqVirqaKlIjDpF4ZQfJ1/eQFXcWhaxGo3lEIjGCqvkXMJFYgurvl7PPPl/FH7v2EDr9czxCpja6ho0snegc9iRBY9/h5Vdf5sSJo+0+rg7+79ORI9nBI6Wiopxdu3ZwOyoKJycXbuxZQc+pKxvEfzNiTmHh6NdmD2MtHcN2GTKtIasp52rMZU6fPsmAAS0XPFRUlBMfH0dtbS0GBgZ4eXVu6DZUUVHOu++9TY9JH2Bo7sjlncu4ffwHug55Rq2HaGluEjf2f8KXn3+Fjk5954+goO58v0a9rif5+flUV1diYGaPSCTGM2SqWttpglgixcjSmbL8FI0ka8oLUlHIajCydGpzrFRLl8ARL3JpxzvYuAU3KcARVMo29SI1QSSWIpfL2h54H2fPX8DEQbNK+bawcgki6UrTftwtkZN4GQNT2wYPfWr4Qdy6j9e4heP92Hn15fq+j+ncZ+YDn+uMqONqt/y8F10zZ6Kjoxg2bGTLgwTgYbSwfsA5BJWyXVXOMpmM/fv38NOGDeRmZ6NCgrauISqlgvyU69w+/iMOPgNwCRyp1suTrKYcfRPrZr8rSL1JUGA38vLy+Pbbr+gzc3WrMkRm9t74DFzE4iWLuX516EPtFd7B/x06DMkOHhnr1v3Ayo9WYOHog6F1Z0QWgcgLz3J87Ty8+87GJWAkWTGn8OrddpjQ2MqV8vwUbNx6PLT1leWlYGDThflPzmfsmLF8uurzBmOusLCQLVt+Y9OWzWRlpmJq6YCWti6y2mrKinJwdfdi3hNzkctlWDh0bvC6BY9fytU/P+T6/lX49J/bYoGKUiEnK+4MsWc2YmHvTXxCfLuOobS0BD0Dk3Z7G9VFR9+4xfBZS6RGHKKT32C1jRITazfsvftxJ/wgvv3nNvpOqmPwUF8kVPJKjI1NNd4u6nYk3kOHPrR1AJjYuFNWcAdBULX5f1QqZCRe3oZnaL33sbI4i/L8FIInvP3A6zCz80LPyJL0qOO4BLRiyLVBaW4SJdlxBI16VeNtxVJdqqurWx1jYWGOsjajvctroL64rfVCoNaoKs3By9VFo20KCgqYNn0KhaXV2HUZTZdxfZqkm1SWZJMeeZiLfyzBq9cMXLu1LBGllNeRl3y1WWF/WU05WbcP8eFPP7N5y6/YeYSoVdRl6xFC8qVNnD9/ln79mjaO6KCDDkOyg0fC2nXf8/mXqwmesrKRZqFn6DRyk64QfuhLsiP/oqqiGAM1ch/N7L1Jv3204QH6oKiUCoqzogmZ9B66YfM4c3Q1Mx5/jC2bt7L1j818sOJ9rJwDse8xmy5jOzfqE6yQ1VCUGcUPG3eQlx5N4IiXG77T1jOm19QVxJ3fxPnfX8fM1gsn/2EYmNkjlmohr6kkN/kqGVHHMTC1pce4JUh19Nm8eQVL3ny7xW4eLfGoPAaCIIAG+yrNTSQn/gL953yl0X5cAkZyace7ePee2cjDZmLlSm7yFY3mao3KwhT8/Z/TeLuysmJ0HlJY+y46+qaoFDKUClmLbfruEnfuN7T1jLH3rlcaKEyPwMqlW5vbqYvf4Ke5snMZ1i7dNK4kh3rDJuLIN3TuN6fNau3mEJSyNn8DffuG8cO69Xj3n/dAeZI5CRex7OTf7u2rC5MJHqq+wV1cXMTIUcPQtupCj8lPtBixMDSzxzdsPk7+w7iy+wOUChkePZtvn5udcB6xWEx27Gm0g8aia2he33M8LYKkCxuZNH4Cffv2Z+nbS7H2nazWOkUiMdae/dizd0+HIdlBs3QYkh3841RUlLNy5QpCpn7cJKwpEomw8wxFVrOAypQTyOsqEdTIKbTzCCX65HoqijIeSq5cbvJVdA3NMbJ0QSQSETB6KeH7P6Rf/95U1anoNv69FvUZpdp62LgFo2toQUHWB1i7Ng5DS7R06DLwSbz7zCQr7iwpN/dTW1mESilHS8cAcwcfQiYva5Q7qG9iw8mTxxk1SjOBanNzC6orSlGplA9cfNAaddWtF83ci6ymnFuHvqJzvznoGamnEXkXYysXtPWMKM9Pwcze++99l1FZnEFhWgQKee0DG001FYWUFWYSGKh51bVYJH5wvdD7+TuHTdRKrFUQBO7c2E1+4jmUSiV3bu6jk9+Qeh3RFnQG24OpjQfuwRO5svsDek1doVE3FqVCxo0Dn6Fvatturc/a0gy8vR9rdUzPniFYWVqQn3IdW4+Q9u2nspj8OzfwG7SwXdvL66rISb7G0KFfqzVeEATmzJ2NlrkX3v3mqfUCaGjuSOiUD7jwx5sYWTo1icYIgoqc6CMse/c9rl67xuHfnkPfyJzqihK0tLTo3r0748aNA6C0tBRbDV6AdAzMKSrKUXt8B/8uOgzJDv5xdu7cjmWnLq3mxjn6DuTs5a14eHpQnBXTpnEo0dLBqeswYs/+SvCEtx/IE6dUyEm4tBWP4MkN84glUpQibeoU2oRMXd7IA9kStZVFGJg7tOhZkGrr4dx1OM5dh7c5l76pA7m5mt+4LS0tMTYxpbIoo/VipQdAqZBTWZSOsRqyMtXl+VzbsxJLp0Cc/NsXAjY078Tto19hbGaLvK6K0sJMBg4cipaXN1mxZ3Fuo8VmW2REHWX06PENPYo1wcrGjuqyvAfqnXw/1WX5aOkaIW6hor62spj4M+sQavI4dfIsJSXFrPxoJac3PIVIrI2jz8CHthYA9+DJKGS1nP/9DboOfbbJi1JzVBSmE37kG3T0Teg26rV2/T4V8loKsxMJCmpdb1YkEvH0wqf4et2mdhuS6bePYusegk4bupl3w8wFqeHIaisQBBVaOoZo6ejj09kXFxdXtfZ38+Z1YmPj6Df3R43OjYGpLT795pB8bXcTQzLx0hZMDKQ88cR8Fi5cxLZtW3hzyWLMbNwwtvcjs7KOeU8+iY21JVKpFIWs9ZSBe1HIajC0aH/Yv4P/23QYkh3840RFR2No3XJ/YqjvemLh2JleIT3Yte8QTv7D2rzBeoZO48S6+WTFnsbRt/0Pz4SLv6NraI6Dz3/CNum3j1FdmkO/mV+oZUQCKGQP7h27i0iiQ1VV+ypIuwYEUZgT/48ZkmX5yWjrm7YaqlQqZGREHSf+wu+4BI3Gq9f0dhv7xlYuBPvaMW3qdExMTHBz88DGxoYzZ04xb8E87DxD2yUiDVBVkkPK9b2oXN0ZMCgMIyMjArt2JSgoiLCwQVhYWLS6fWBgEMl5yQ8ks3M/ZfnJ6BpaUFGYhuHfLyZ1VaWU5SVRmHKF7MRLzJw5m/fefR99fX1cXFzZuWM36elpDB46EG399p2LlhCJRHTuOwtTOy8ijn6HsZUrLoEjsezUtdFvQ6VSUpabxJ3wA+Sn3MAzdBpu3caqXaktCAJKeS0qlRKJVJvsuHN07RqEg4Nji9tkZ2exY8cfnL9wkfz0WA6unoJIBFq6RphYu2Fi44GDT/9WpcKKs2JIubGX3o991OKYwozbJF3dSWluIo4+A/Ab/DQ6BqaIRGJkNRXkJV8hMfYk/Qf05ZWXXmbixCmtHuu69euw7zIEsUTzR7C9V19izmykvCAVYysXBEFF4qXfKUu9zLGjJ9HW1ub06ZO8uXQJAaPexKKTX8O2Qt9ZJF/bTVHqnxTuX4WirgaRSISRpRPOXUdg79232ftdSdpVBkx/ReO1dvDvoMOQ7OAfR0sqRaVq++1XUMoJDAxi7769ZEQdazMclptwEQN9PeLP/kxZ/h0qi9LrWx1q6WLlHEgn/6FtyrKkhv9FZuxp+j7+aYOhI6upIO7cr/SctExtIxLqPY6aSnW0hKCowchIvdDx/UyfNo33PvxULc9ne8iKOopYJePKH69i7twTYxt3dA3qc7GqSrIoyUkkO/4cRhaOrbZ0UxeRWIydnT0jRjTuLxwWNpBRI0dx8eT3dB35hsahfKW8jhsHP8PCKQALv5EgEiOvq+JUxB0Onvyel15+nhEjxvDC8y/QtWtgs3MMHjiQK19+32oBhKbkJ1/C2lSXmCOrKMyv90rr6OrRubMfk4YPZs7mNdjZNS3acnJyRkdb/etVU2zde2Lh6EdmzCnizm+hsngVekYWGBqbIRJUFOenYWpmgb2dHTj74d5jQptzVpflkRF9kpLsWMryUpDXVf4thK5Eqq1PQNcAtm7dzPjxk9DX12/YLjk5kXffe5dz505j5xmKsZ0vvR4bha5hveFfV11GWV4yxdmxnP/9DUxtPencd3aT9JSizGhuHfgEsVjUomROasQh4i/8jnefx+kxdglSbb1G3xuY2mFm54VXr+nkJl1h8Vtvc+36NT5c8THFxcUkJydRVVWBvr4Bzs4u6Ovr89df++g7u30tCJVKOUaWzlzb9zFikQSlogYjPR327DnQ0I3m/RXv49V3biMjEurlfzxCplKcHY+OgQmd+85BEFQUZ0bXH+elrU2k18rykqkuy2Xs2AntWm8H//fpMCQ7+Mfp06cvB458gBAyrUWvlKymnPz0GEJDe/P7lm2MGz8KlUKOU8CIJgaCoFKSHnWMO1e2suTNt1j58YcUZ8XgGjQaXSNLFHXVZCdc4NSGZ3APnohnM/tVyGqIPfcbeclXCZ3yQaPcvcyYk5g7+mnc7k7fxIaKogyUCvkDSa8IgkB5YSpOTm3L5DTH6NHjeH3xa5TkJLS7ZV9LyGrKyU26zPlzl4mLi+X0mdNcv3GcvOIicnKyMbX1wsy+M72mrnhoHlFlXSWmJs3PteqTz5g4eRxRR1fjO/g5tT3Csppyru//FH1ja7qNuc8I/btlZG1lMXFRxxg3fgxzZj/BW2+926jwIy8vjz/3/ElBZjzlhWmNisjaS21lMQWpN7l5IworKyvq6upQKpXo6uqqJS2jb2CAoq79WohtoaWjj2vQaFyDRiOvq+b6zqXMnzmFnj1D8fLqjLW1NRUV5fTq3ZPs+PMtSv5UFGUQe+5XijOjsffui1PX4ZhYu6NvYoNIJEKpkFFRmEZpXhKrvl7LW28vZe7c+bz26hv8+tsGPv10FU6Bowmb92Oz3mhtPWOMLDrh6DsA3/5zSY86xpWdy3AOHIVX6DSqywvIijpKVswJ1v6wjvKKcpYsWYz3gKexv6dlaFrkEZKu7KT3tJVtylaJJVrYe/fF3KELO3a/y4kTJ8jOzsDY3A4tbX0U8lrKirLx8w9AS8cAXUPNi7TSIg4Tc3YjFo5++PR7Ah09Y+qqS8lPPMOQoQP47NMvCArqzp07KYQNfKvFedy6j+P2ibXo6Nenc9h798Xeuy9pkUe4vGsZfaZ/goGpHXXVpUQfW81rr7zeoGDRQQf3IxLa28Otg//vKCio+K/sVy6X0zWwC66952PbQhuz+HO/4mImY8vmrcTERPP556s4evwYiCS4BI7+u7uNiPKCO+TEHMfczJinFz7NByvex3/Eq83qGVaX5XH1zxXYefbCu8/M+rXUVpIRc4o7N/dhYuOB/+Cnm+RFnd30Ct59ZrZLWuj81jdxDRzVKEyuKcVZMSSe+paI8GikUs3e9RITE3h98Wtcv3YZXWNb+s38ol3hs5aIOrqanl0c+e7b75t8N3BwGPruox+qJBPAzT3v8vGytxq699xPZWUlTz29gOu3IvEOW4ilU0CLLyyCSklO0mWiT/2EjVswfoOeavP81FQUEHdqLbqiSv7ctRdbWztOnz7JkwvnYe3RB6R6lGTFEjr1gweWXbp95Ev6dXPnyy/UK9q4n3kL5pJWZYlL4Ki2Bz8ggkrJsR9mcuN6JDY2to2+u3z5EtNnTMFv2CtYu3ZrtE3y9b0kXduJe4+JuASOUquau6IwneRLmynJTUCirU/g6Dc1Ntyry/K4+dcX1FUWIShqmTZtBouefgYPD0+gvkPOs88tQsfMmU4B40Ak4tqelRq9FMlqyrmx/1OqSnNw6jocZ/9hjbrTyGsryYw5TcrNvUi1DQie8Bb6xs1rPt5PavhfJF3dRc+J7za7ntLcRMIPfMy8J55gx96/6DFlVYtz1VYWc3rjc4x4fmuT7+LOb6KyJBs7j1DuXP2DqZMn8eGKj/6rGpJWVu2LznTwaOgwJP9F/LcMSai/Sc95YiYevefg4DOgwWMnqynnzo0/Kb5zkaOHT/D775v5Ye0POPgOwtqjN1Wl2WTcPkFVSSaoFPTt04cXnn+RHj160jXQF7c+T2LjFtzifmsqCjm98XmsnAOpqSigojADK+cAXAJHYekc2OTmqJTXcXjNTIY98xtaOvotzNoymTGnSIs8Sp/pH2u87V2ijn7F9LH9GTRwMEePHeHa9RukpaWiVCoxNTUlKDCIXqGhjBo1Fj29+jCbSqXi+++/5bPPP8Wl+wSc/Edwdc+HWDkH4tWr9apXdclJvEzalY1cvnit2cKUN5e8zvnoIrz7zH4o+4N6z/GpnxZw7eqthrBdcwiCwK5d21n+wXKUaGHp1gtja/d6IXNBoLostyHkLpFq4xs2v5GB0xaCIJB4cRPVObdY+uZbvLH4NfyGvYS1a3dUSjnntrxBpy4Dces+vt3HmhV7hqyb27h08SpGRu3Lc/z++2/59c/TdBmsuZSRplQUphN5cAXxsc33Yz5z5hRz583G0W84bj3rowLhh7+mqiSLoFGvYmjecu5jcwiCQFbsaaJP/YT/0OcaeQ7VRamQcWv/J3R2sWTbHzua/P4rKyv44Yc1/LJxAxWV1bh2G4dHSOv5jneR1ZRzcdtbmDv4tvmCIggCiZe3kxZ5hN6PfYSBqW2LY6FeJeHkz4voO+PTVj2jpbmJXNu9DKmWDmELfmox3aM4K5bww6sZtKBpX/e66lJOrHsST28fXn/1NcaPb15q6FHSYUj+b9NhSP6L+G8aklDvpXj73bdISUnBwsEbuayW/PQYBEClkGNgaIxSJRA8eTkmVk0rgu/c3EdB7GHOnb3IhQvnefPd5fSc9lmbb8pRJ9dTXpiKZ8hUTKzd0dZr+aZUXnCHa3s/ZvCT69p1jEqFjBPrnyRo1GtYOQdovH15YRqXti7Gxc2DnJwcrD16YWTljqGZfX3RRXUZ5fnJlGffpqIog7lzF/DKy6/x+huvcu7SNboMe6Wh4r2qNIcLfyzBp98cOnUZ3K7juUtRZjQRf61i82+/07dv/2bHRETcYuLkifSft7ZN0XGVUk5lSTZKWS0iiQR9E1u0dQ2bjEuLPIJ+VTT79x5Qa51KpZITJ45y/Phxrt+8SXp6KtU1NRhZOGFq64WNezAWjn7t8q4IgkDE4a/ITbpCjwnvNNIcrCjK4NL2d+jcd1a7qtNzk65w++jX/Ll7Hz16NO+1V4fw8JtMmjqZ/nPXPlRPdHMkX92Fm2klv2z4tcUx6elpPPfCs8TGxiPSMUIi1abnxPea5BlqQkl2PFf3fEjgiJfa5f1Wyuu4umMJi199gXlzn2x2TGZmBqG9ejBg/lq1CrkElZKL29/B2MoZv0FPq319JV3dRUb0CfrN/KLVc5J0dSflBal0G/16m3OGH1hJbUk6ziFPYNeCsX3r0Gr0TWzwbqH5Q/iBj3l10SxmzXpCreP4p+kwJP+36ciR7OCRERraixPHThEVFcnb7ywl8nYCXn1m4tJ1BGKpNqW5iaTc2MP1vZ/Qa+qKJgLIrt3GUZEbx+bNvxEeGYmVZ3+1btid/AZzbc9Ktdr5KRXyB6q8lki1CRj+AjcPfq5xnmBlSSaXd7yNVFsXA9eh9B/Rp1mDrP7h+RjlhWnsObKFjb/+grauCcFTVzYKExqY2hEyaRlXdr9PbWUx7sGTNC5IEQSB7LizJJz7mXU/rmvRiAQICAjC2dmZjOiTzRb61FWXkRF1nJzES1QUptZXfmvro1IqqKnIR9fQEkunrjgHjMDE2g2lQkZW5AG+/LTlEN39SCQShg0bybBhI0lPT6N/WB9Cp3zQogaoJqiUckrzUvAJm99EuNrIohOhU5ZzZfcHlOQk4Bs2Ty2PtlJeR/zF38mIOo4IoV0SRPcSEBCEvZ0duclXsPfq80BztYagUpIdc4yPN2xodZyTkzP79hzg44/fZ/0vmwmdtfqBjEiob0bQbdSr3Dr0FWFzvmkUOlYHiZYOPoOf4/33lzNs6Ihmq8J/37oZey/11QDyU28ir62gy8CFGr2kuAdPojAjksyYU62mI+QkXsG793S15rT2DKM88RDxZ3/CwMy+0T1IEATSbx+lMC2cfrNbbg6gY2BBaWmpuofRwb+cDkOyg0fO9etXSUjJoM+srxt5B83svOg+ZjEJl7Zxff8q+s38oslN2d5vOD//8jNubp7oGKqXI6VjYKZ2Oz+pth7yByxWsHELxqf/E1za8S7dRr+ulmeyOCuGa3tWYuHQma7DX27Va3oXY0tnAkYvJSPqOLFnN1KWn9LEwDGxdqP3Yx8TfvhrcpOu0nXIojb7mN+lujyfxPO/oKzI4vChg3TpEoRC0Xxl612++OwLJk2egLVLt4b+2EqFjISLW0mNOIS1a3e8e8/A1Nar0TEqFXIqCtPITbrElV3vY2zlgqG5Ld6ebi3mRrbFO+++jaP/sIdiRAIkXt6OrpFFi2oCxlauhM35mqiT6zm98Tmcuw6nk98Q9Iwsm4ytqy4lM/oUqRF/YWThRP8535ATf5ZFzz7F8aOn2tWzGeqlep5d9Awff/kddp69/rFWmTlJlzEzMaJXr7aN1by8XH76+WcCRi9tV7pIc1i5BGHn1YfbJ9fSY+ybGm9vauOBrWco639ay/JlK5p8f/rMWSxc1O8Nnhp+CJfAURq/qIlEIlwDRxN3fjPOASNbNELldZVqd1DS0TdFpVKy/L1lvPPuUqxdgjC264JSXkdW/DnktRWETF7eqqKFUlaJgUGHbmQH6tFhSHbwSBEEgW+++xb3XnNaNJY8Q6aQEX2c4szoJvIVpnbeXM5MIzCwGyVVZWrtU1ZdhlTNB5iBqR2ymnJkNeXt1iYEcPIbgo6+CTcPfoaekRVuPSZg59m7UTW3oFKSl3Kd7OgjFGTEYuXclcDRizV6GIlEIpz8h6JjYMqNfavoO/MzDEwb5xIamtnT57GPSLm5n8u7lmNo7oiT/xDM7H0wMLVtMDYEQaC2sojS3ETSIg5TnhfP7FlzWb58D46O1pSUtG1gd+vWgwULFvLH7s/oNn45tRWF3DjwKXrG1gx44tsG4/J+JFItTG09MLX1wDN0OklXdpB8/U/mvPNeu8LQOTnZnDp5jLD5TXPA2oO8rorU8IP0m/Vlq+vR1jOm2+jXKMmOJzXiEKd+eRZtPWOMLV2Qaus2VCPXVhZh7RZMwLAXsOjkj0gkwqXbOC7/fpLTp08waFD7+3dPmfIYa75fQ1rE4X+k6EZWU0HCuQ2s/3GtWv+bNd9/i7V7KOb2rWvJaopPvzmc+OmpBj1FTXHwG9FiK9KysjIsXdT7/VeX5VGSHatW2Lk5rF27E3VyPcVZMVg4dml2jJaOPrJqNe93NeXk5uURFR3N4CHDqSgrpaz4JslJyfiEPYmtR0iraQ8KWQ25KTcIC2tfwVcH/z46DMkOHilxcbGUlpUT4BLY4hiRWIKjzwByEi81MSRVChlisYSxo8ew/OPPcQ1qW78vM+Y0Ni1Ui9+PWCLF1NaDgrQIHDr3U2ublrBxC8Y9eBLaZVGocs5x5twGTK06IdXWRymvpSj3DiKRmLqaeu08LQNz5LWVDZIcmu7LJWg0EUe/o9fUFU08USKxBPceE3AJHEVOwgWy4s4Rc2YjgkrZSFhZIa9FR88EuawKpUzGuQvn2b9/L4sWNZ9L1hxvv/UumZmZnN6xlMryYrx6PYZL4Gi1DUKJVAvvPo9j6xHCl6s/QiKWEBrai08/+5Rz5+q9dUOHjuTNxUvw8vJudo4tv2/CzqvXA70M3EtmzCnMHbs0MtIFlZLUiMOkRRyiqjQXPSMLnPyH4tZ9PGb23pjZexMw7HkqizOpKExDqZAhlmjhGToNIwvnJhJRYrEEO99h/Lh27QMZkvn5ebi5uXPs2C/EnPkFc0dfPIInY+nUtd1z3kUQBOLP/sSIYcMZPLjtjkI1NTVs2bKJbhPeJzfpCsnX91CWl4hU2wCHzv3wCJnarusd6qMHTn5DSIs4jP+QRRpvb2LthlTHiFdfe5FTp05RWlqEm7s3Lz7/Qn0veTXLB8rykjG19Wq3t1UklmDpHEBZfnKLhqSNWzCZsWewcmm7jWdm7BkUCoHDZ29h4RRATXkVWfGxiMVitHQN28ydTY86Rrfuwbi5qRe56KCDDkOyg0dKRUUFegYmbYbctPVNqKkobPJ5btIVgrqHMHbseJa+tZjC9MhWH5B11aWkRR7G1r0ngkqpVpeNTn8/nB7UkBQEFfnxp/j+m68ZNGgIiYkJZGSkUVFRwblzZ9m1JwvP3rOxdu1GbWUxKTf2cnHbUvpM/6RdBpBnyBRyEi+Sm3i5xSR7iVQbR9+BOPoOrPdAVhRSV1MGgoBIosXtY2vQMTDDM2Qq+iY2FGVG8/ayD0hNTWHJknfUWodYLObDFR8R3DMQn35z2t0a0cTGnR6TPuDjVUsQBBXuwVPpN2cNgkpBfPQJRowcwv59h+jSpfHLhkKh4PjxExhada3vCa5n/MAh3ozok40KEwRBIOLYGioKUvENm4+prScVhWnEX9pKcVYswePfQiSWIJZIMbZyUdtj5ug7kFM/P0lBQQFWVpr1JQfIyEhn6LBBmLmE0H/OarS0DchNusyNA5/hP2TRA+VNCoJA4qXNiGqy+fijTWptc+bMKQzN7CjKjCbp6i58+s3G2nXpf673P5bSZ0b7rneATv5DOP/7G/gNfkrj/7FSXkd1dSXnbybReehrGJjWr/O9FSvR1RJhXFOu1jxyWbVaEkatIdXWpzQ3CUFQNTmOuupSlAoZOQnn8er1WJOIw72UF6ZRmB6BT/8nyI472/Ci7RYyg+t/Lif8r88InfZxiy1oC1JvkXptB3/u3vdAx9PBv4sOQ7KDR4q9vT0VJXko5K23E6wsykT3ntwypUJGef4d0m79ycrl7yGVSnF1deX6vk8ImfQeZs2EzWqrSrj65wocvPtRVnCH2yfX4T94UZueMXuvvsSd30xu0pVme/fWVBRRXZaLQlaDREsHPUNLDMya3tzTbx/DzNiAAQMGAeDp6YWnpxdlZaW88OJzhEz7pOGGrq1nTMDwF7l58DPu3DyAd5/HW11jc4glWrh1G0dqxKEWDcl7EYlE6BlbNYSbU8P/QizVpse4JQ0PMzvPXpjaevHNty8yc+Yc7OzUk2xZ/Obr2Hr2brcReRcDU3vE2oZ4hT6Go++Ahs+9ej+OREuX95a/y87tu7l06QK7du/i+o0bJCXGolQqEUsjiTmzEbFEgrGVG6a2Hjj4hGGiRo/we1HIa6koTMfC8T8Ga2luIgWptxgw97sGI8Kikx8hdss5t+VV8lKut6vvs5auIRZ27oSH32Do0BEab//Jqo8xdwmlc9j8hs+cA0ZgYGbPrUOrsXVvPazZEkqFnITzvyIrjOHA/r8wMTFVa7tbt26gZ+5G/IXN9Jm+qkG65u71fuuvL7hzc3+DzqumGJjaIxZLqSrNabUN4r3IasopzoohLfIouoYWdB/31j3Xeyhmdl6c2fgs4oQzakkMSaQ6KBWydq3/LoKyjqrcKC5ufgFzp25ItA1RKeWUF6RSlHkbG7dgHLsM4cqu9wmZvKxZY7KiKIOruz/Ap/8TdOoymPgLv1NRmI6RpRO6BmYEjnqDS38s5uqOt+jkPwxHv2Hom9ggCCrS/vas11WV0C2oGyUlxahUqnbn6nbw76LDkOzgkeLo2ImuAUFkxZ5psYWfvK6KrLiz9Jv5BfK6KhIv7yAj6jhiqRYSsYQ3Fr/OLxt/ISO3lC4Dn+TK7vexcPSrL2wwtkJeW/V3+PYsTv5D8en/BPLaSi5sfZPsuLNtioUXZcUgEhREn/geU1tPdA3r2/8VpN4iNeIQRRlRGJjaNoSoq8vyMTB3wCVgJHZevZFItaksziLp0mb2/rm/yc34+PGjWDp4N/EKiEQiXAJHE3ns+3YZkgD2nfsRdXJ9u3I8sxMu4BI4qolHRM/IAjvPEPbt28vTT7etT3jx4nnOnT9Pr5kPnmNVVZqNoq4K+2a8w05dR3Dsh9n06BlEeUU1Nl5hmHqNY0C/lxtE5uvzPgvr2+VlxXJl13IMTO1wD56IrUeoWmsoL0j9+//9n2rjnITzOPoMaOKJkki1cPIfSnbChXYZkgD6Fq6ER4Q3GJKCICCXy5FKpW0+2Pfv/5NeM75o8rlFJ38kUm2KMqM1lqUqzU3i5sHPsbEw5vChYxp5Sq/dvIVK0MLExqOJ/mH99T6KiKPftduQFIlEmFi7U5aX0qYhWVGUQfK13eQkXsLE2p3aqiI695nV5HrXNTTHziOErIQL1FWVtlkVrm9sRUVRWrPeRHWpK8/ii8+/xNW1E8eOnaSouITioiKOxN9h4Pwf0TUwQxAEkq//ydlNr2DrEYqjTxja+ibUVZWQGXOavJRr+PSbg0vASABMbdypLM5sOO+G5o5Y2LmzcM5jJCQmsnvLyyASo1TWt6N0DRqDvqk95WW5PPviyzjaW7P9j52Ym7feb76DDjoMyQ4eOXNmzebV117B2Mq1SQs/pbyO63s/RqqlRVrkEbITzmNi7UavaR82hAcrS7K4+MfSBq1GW/eeZMScIvnabupqypFq6WDlHES/WV82CP1q6xnj1XsGiVd2YN+5X5MbviAIlObEkxn5F+W5saz9YR1Xr11l64738ej9BFGn1iMWS3AOGEHQyFcaGRBKhZycxIv17cvObMCr13TSbu7hraVvExjYVPS6pqYGaQuhMC1dQ5SKunafW6mWLkaWzpTmJWOtRj7VvSjldWjpNNVyBBBr6VNTU40gCNTU1KBUKtDR0UVbW7vJ2B/X/oiD/6iHUqGrlNch1dZrtgBJqq2LAFj4jqOrd79m0xZEIhF6RlboGVlh6xGKd59Z5CRcIPr0z2TFncVv0FNNOhvdT1VJdhPxbKVc1mLhkJaOIUp5rdrHeD86RtYcO3qEpOQUbt26SUZaCkqlAgBTM0v8/AMICQ5mypSpuLt7NmwnCAJ1dbXN/g9FIhFSbV3CD63Grcd4OnUZ1OqLhiAIFKZHkhZxiKKM2zgHjiLr9iE0lR0uKixAouuCVjMaoXD3XLX/egfQMTBFXtuyRq5KpST52m6Sr/+Ja+BoBsxdg56RBed/f6PFkLRISx8DA0NSI/7Cu3frL3Wmdt6IJdoUpN7C2rW7xusvL0yjojCDkSNHY29vSVBQCAqFilOnTnDx+u2G6mqRSIRH8CQcfQaQfvsYcec3Ia+rRkvXEDvPULoMXNDoWpZo6Ta5l+gYWmJkZMTXq7/lk48/ZfzEsZTIDeky+LlGvzHXbmOJObWWGTOnc/ivo//VrjYd/O/TYUh28EjZsWMbi998HTMHHy7vfA9r1+44dO6HREuXstwEsmOO07NHD+bMfocPV36AhYMPgSNfbXQjqy7LR0vXEEuneqkbLV1D3LqNxa3b2Fb3bevRi6gTaznx4xysOvmgbWiNSCRCUVNMSU4SEomIeXPnsfDJXzE3t2DEiFFkZ2exd98n+A1cSCe/Ic3eUCVSLRx9wnD0CaMwPZJrez9i9KhRPP3Us82uo2fPUPLefZvOzYT385KuYG7vo+lpbYSxpROVxRkaG5LmDr7kJl1p4rESVEpyEy/zZ00aX3/7DVUVZYhEIgRBwMHRhcDAbgwbOoTx4ychk9Vx8uRRwuY9nGppQ3NH5HXVzVbmFqSGo29sg0PnMI0KeRx9B2DrEULs2V85+9vLBE98p1WJIJVChkTauM+wmYMPqeF/4R48qcm+85KvYu7gq94B3oOspoKkqztIv30MY0snZCb62PV4Aq/hTvVGs0pFdXk+ZXnJ/HkynDU/fEdgYDeWLF5C7959EYlEBAX1JC/5Kp38GgvQ11YWU1WaS+CIF8mKPUvCxa0YWTr/7SnshFRLF5VKSW1lEWV5yZTmJiGRauMcMIKuQ+srz+WVeWz5/TdeeblxdbIgCMTFxXLr1g1u3rpFTk4OSpUKExNjigoLMHJyozA9stl0ltzkK+06V/fTkoGrUiq4efBzaiqK6DvjMwzN/+O1NHfwITf5apMCFkGlJP/ODQxMHLhzYx/mDr6tatCKRCJcAkY2yFtpSlbUUR5/fHZDl6q7GBkZIa+rbjJe19Acr16PtdmxSl5X1ciLrpDXUZAexe9/1LBtxw6kUgnxcXGELVjf5EVNJJbgM/BpLvz2HJcvX1RL5qmDfy8dhmQHj4yEhHheX/wq3Scsw9TGg9qqEjKijpNyY3+95E51MZt+3cSAAYMpLS0hPS2VPrNfbfKgzk+5hkPn/hqHkSRSLTr5hjGwWyd69AgmKysTkQhcXZ3w9PTF3d2rUW/r2NgYjh07Qvcxb7TahvFeLJ260mfGKo7vfo9Dhw420UC8fTuS3zb9ikQq5cb+Twka9SrauoYIgkD+nRuk3NhL6JQPNDqu+xFLtVEpFBpv5xI4ivNbXsfMzgsHn/rzq5DVcPvkWlSArssweoZ6oG9sjUgsQSmvo7wwjbS8JFZ9vY633l7KgLABmFk5tbsS934kUm3cuo/j1qGvCB7/VoNIfXlBKrdP/IBXrxnt8pZItfXwH7IIM/vO9Xlnk5Zhatu8MSkSS1CpGp9PO8/eJF7aRvyFLXiGPoZEqoVKpSQ1/CAlOfF0HapZi8Lc5KvcPv4DVs6B9JnxafPFEJJ64XMji07gOwCvPk+QGXuambNnMmniJN5fvoIJ48fxwYcrMDB3aJDbqa0q4ebBL+jUZRB2nr2x8+yNrKac0txESvOSKMmKQ6moQySWoKNvgq1HCN69H8fI0qnRb8y+y3B+/nkNL7/0GiKRiNraWnbs+IMf1/5ITm4OFg4+6Jq5oGvkjkgqIq+oCm1zT3KTroAgcPPA5wSOfLnx9X59DyGT39foXN2PrKa8RY9n5PHvkddV0Xvah0i0Gr8MuASO5tzm1/6+3sPqr3d5LTGnf0bXwIyekz8g9vRP3Ni/ipBJyzGzb14hAMDRdwCJV7aTk3gZO0/1UiYASrLjyIk/y4IfVjb5ztTUlPKSXKpKcprNwW6Nu/9fk79fkArTI7hxoF6KTG4ahEjPhPKKQiS6yZz59QV6jH2zib6sWCzBrvNAtm3f1mFIdtAqHYZkB4+M9T+tw9F3cIP3R/fv6mDPkKkARBz4iKSkJAYOHMLly5cwt3dvVsxZVluJkaV6YuT3o6VvhkoQ8PHpgoWFJSqVAkdHWxwdnRoZkQAvv/oSTt0nq21E3sXY0pmuI17lxZeeI2rQEHR0dLh9O5LX3niVxIQEHHwH4TPwGTKiTnB87VzM7DpTV12KQlZD4MhX1BYMb4m7RUCaYmBqS/DEdwg//DVx5zehY2hOZVEG5vY+9Jv5ZZNQqERLBzM7L8zsvHAJHEVFUQYXDn2OoaVmxSxt4dFzMkqFjDO/voi+qS0isYSasjw8ez1Gpy6DHmhuR98BIBJxdc8K+s/6Cl1D8yZjdA3NmygISKRahE55n1uHvuTE+gUYW7lQWZyFtp4xoZPfV0tQHv6W07mwhYzokwQMe14jj5ZUW68+L9ezF2fOrGfQ4P6MGzsOczsPru/9GF1DM6TaBpTlJ+PoOxDfewpwtPWMsXbtrtH+zB18uVVRTkZGOnl5uTzz7CLkIn3s/cfiOapnq/qnxdmxRBxdw/G18zCx8UBWW45SVkvgyFdaNODVpSw/BZ/+c5t8npN4icL0SMLmfN3s70HfxIaeE98h/PA3JFz6A30TG8rykjGz70zwhLcRiyX4DlxIVUkmV3cvx7PXdBy7DG62laeWriFBI1/lxoFViCVStVo3luQkcGX3B0yeOAFz8/9cdzduXOezzz/nzJmT6BpZkRrxF10GLNDonKRHncDKORA9I0uKMqK5vm8VQaNeaXIvcwkaTWb0SS7vWk7vaSub5LFqG1pQWJSm0b47+PfRYUh28Mg4f+EC1oEt5xuZOvXg7PnzLFy4CLlchlTafFW3WCJFpdTc4yavq6Y4K5Y/YzPYsWsXRqY2iCVS5HWVVJTkM2nSFJ5c8BRduvgRHR1FQkI8YfPbJzJs6RSAnokte/fu5s6dO3z/4xrcez5G//lvNOgH2rgFc/LnRVi6BGFm54W5g6/GnTGao7zgDk5+Q9q1rbGlMzoGZijltTj7DcW8kx+GZvZqbWtk0QnzTkHtMmJbQyQS07nPTKycg7i2ZyXdRr+KuWOXB2pleS+OPmGU5iZy+8SP9Bi3tImH08TanfKCO6hUykb/Hz1jK3o/9jHlBal/60haYmLjrpGHNO78JvKSr9L38c/QM2pfUYOOvin+I14n8dIWfvr5J5y6TaL7+PcozopGKa/DzM5b4zaCzSESibCw82DlRx9w5OhRPHvPwbHLILWO19zeh4FzvyPvzg1uH/8RHX0T+kxf1axRpgnV5fkoZDVNrlGlQk7UyXUEDH+xVWkeM/vODJj3HSXZ8chqyjC0cGo0l0gkxm/oC1zY8grGsiTObNiGvXcfrN17o61fL2Mmq62gKPUGWTEncXF2Ieroakp8BuDgN7xZz3J1eT7pkUdIjTiMc8BILoan0DOkOzt37CIrK5VFzzyPc7eJhM37kdqqEi5texv3HhObfclpDnldFSk39mBkYkn0sW/ISryK36CFzb4Qi0QiOvkNpraqmNhzv9FzYmOJr5rSLDp1Va8avoN/Lx2GZAePDLFYjCAoW/xeUCmQ/F2V6uHhRVFOEkqFvIlws76xNRWFqRrtOzvhIpFHv8PExh3P/k9h7dKtUXFGVWku16KP8ufYkfTvH4aJsQkOvoOQSJsWk6iLTechvLvsXaS6JoQ+9llD4c+9mDv4IELUpLVhe5HVlFNVko2xhhI3UC+xdHXPh+gZWhA44qV2ycT8k2jp6KOla9CuPLS26Nx3Fmd/e5ns+PNN9EN1DEzR1jWioiC1WW+xJjqR95IVd47suHP0mbFKbSOhJUQiEZ69ZiKrrSY7/izuPcap1VteU6qrqzh24gwh01Y1ez23hY1rd6zmf0/44W+4tudDQiYvf6AXgoyoE/WtIO97ActNvIiesbVaecIikRhzh5bzkvWNrXH0GUDXrq58v+ZHfv3tFw4f+ZPy8lKUShXGxiaEhoSw8POj+Pj4kpaWytp1P7B58xJ0TOywdumOlo4+ClktpXmJFGVEYe/dj97TVjZcN1kxpxk9diQgosfE5Q1RG209Yzr5D+Hqng8Jnby8TSUGhbyWyEOfMWzwIEaNHEVkZASb0sKx79y/1e1cAkeRfG031WV5DekjCnkt2TGnePzjA22eww7+3XSIRHXwyBg6ZDD5SZeafC4IAuUFd8iOPoqLsxOVlZX4+nbBzc2NrNjTTcY7+g4kO/682j2x0yKPEnViLT0nvkuvqSuwcQtu8uAxMLXFq88c+s9by+2kfHbs+APHLm137miN0rwkFCI9uk14v8WHroNPGOlRxxCE1ntYq0tG9EmsXbu3q2I6/uLviMXSBzIitfWNqasqbte2bVFbVfLQci/vR6qli0//uSRd3dVs4YadVx8yok8+tP3VVZUSfWo9ASNefGAj8i4ikQjfsHn1HXfCDz2UOe8lO/48VWUFhExb2S4j8i5iiRZBI19Gx8CMyKNr2j2PUiEn/fZRnP+Wu7mXzJhTOHd9sN/vvTh0Gcoff2zBwcGRt996j3NnzhNxK4qoyBgunr/El1+sxsenvmjI2dmF5559AZFIhGWnAJTyWiqLM5HXVWHt0o0hC38iYNhzjV4+HHwH4NVnLgJSjO9L2/HpNwdTW08u/LGEvJTrzd4rBEGgKCOKG7vfo6uXIz/+sJ4pUx7DwsICG/eQNiMdWjoGWDj6UZwVA9RHbyIPfUb/sDD8/R+8I1IH/7fpMCQ7eGQsmL+Q3MSL5KfeavgsK+4c57a8xuWdy1AiYee+Q/j5e7P4zddZsvhNki7+Rl7KtUYPd30TG4wsXciIOt7mPvPv3CDu/CZCp37QqtfhLlItXboMfhaVSoH+AzwsC9IiyEm4QOiU91s16iyduiISicmOP9/ufd1FXlfNnZv7cQkc3fbg+yjJjicj6gQBw194IE+kibUbZfkp7d6+NcrykjCx/ufattm4ByOvraAkO67Jd84Bw8mMPYVCVvNQ9hV3fhN2Xr0fmif6LmKJFoEjXiL+whZkanZmUYe6qlKiTq6j2+jX0DPSvOPO/YjEEgKGvUBxdiw5CRfbNUfi5T8wsnTC1Naz0eeCIFCam9RIQP5BMbJ0Rq5QkpaWqtb4jb9uwNajFz79ZuMbNo+uQ5+jy4D5uASOarEwyMl/KLpGVvXFSfcgEonxH7wI9x4TiT27kVMbniHx8nayYs+QFXeWpKu7ubz1FZLP/cBzC5/g142bG2S56urqEEvUSzURicXkJl0l5uSPnPnlKYL93Fj7w3q1tu3g383/Vuyqg//TdOrkxMZffmPe/DnkdvJHJldRkhOH38CF2Lj3bDBgKkuyOHV1B0cOH6J79x5cPfINIokUYys3jK3dqc6Po7Y0neQraZjZeTfb1QbqHyix537Df8iiJm/5raFSKpBq6bZbO02pkBN57Dv8Bj3dpkbh3YfEzYOfYdmp6wPlssWe/QVzB98GWSSNtj33G959Hm+2uEkTTGw8qCzKpK667KF7D4sybuPoO/ChznkvYrEEJ/+hZMacbPLSYWjmgLm9D4mXt+PT/4kH2o+sppzshAsMmPvdA83TEibWblg6dSUj+iTuPSY8lDn/CcNXS0efgKHPEX7kG6zdgpuksLRGSU4CaRGH6T97dZPfaW1lIYKgQs/Y+qGtVSQSYW7rRkxMNC4urq2Olclk/PrrRvxGLdF4Py6BI0kN/wt7775N9u/kP5ROfkMoyogiK+4spbmJKBUySnPj+Wb1t0ycOAWJpLHn0cnJmZrSo23uVxAEqoszCA7yJygoiCk/foSb24MVQXXw76HDI9nBI2XAgEHcuB5B/x6elGRF0ffxT7Hz6t3IC2Zgao9Y14SC4mKyq03oOvwlfPrNBZWCzMiDzJwymrjYFNZ89wO39n9EdsLFZsM9xVkxKOqqsVOzg8ldpNp6KGS17Q435yZdQkffVK32agCWTv44+Azg2t6Vaofr7yfl5n7y79zEb9BCjbctL0yjoiidTr4PVgENoK1riLVbdzKiTzzwXPdSWZJFaV6S2t1o2ou5YxdKcxObfC4IKvQMzUgNP0hpbtID7SMz5lRDRe0/hXPASNIiDmssIN4cdw1fj55TH8LKGmPlEoSesTW5iep7JSuKMriyezlOXYc3aqN6F4WsFqmO/kMX0ZZq61FVVdnmuGvXriDVNWpVm7Ql7L36UJqbRF11WbPfi0QiLJ38CRj2HMET3iZ0yvtYO3hgZmbWxIgEGDNmHMXZCVSWZLe63+LMaHS1RWze/AeLFy/tMCI70IgOQ7KDR465uQWZmdl4hExrNkyWeusgBak3GTh3DT7952Lj1gMHnzB6Tn6fzmFPsu6nddTUVDNu3ER+3biJvPDtXNryIik391FekEp1WR7lBXeIOb2BTv5Dm+140hoSLV10DEwpy0tu1/GlRRzGJXCURtv49n8CQ3NHLm1/m4qiDLW3UypkRJ/+maSrOwmd8oHGbREBMqNP4ug78KFVW7sEjCL11sF2G8XNkXRlJ46+gxoJLP8TmFi7UVGU2ajbSnVZHjf3foCeIo+333qX6GOrqasubfc+CtIi/nGD2NLJH1ltOTXl+Q88138M33+mVZ5LwAjSIo+oNTb/zg2u736Px6ZMpSztIle3vU5qxCEqizMbXvzEEimqB+x93RyCUtFsJ6f7KSoqRL+dLwkSLR209Yw0SkvQ0jGkvLz58YaGRvTp049bf32BooVuS7KacsKPfMOYUaObNUY76KAtOgzJDh45lZUVnDt3stkwpUqlJPnGHroOeabZMK+j70BMbDvz+9bNAISFDeTG9XB+/O477LVyiTv2Odd2vEn88S+oLsvG3MGH8sI0qsvyWryR3k99GGkYqRGaFywo5XWU5CRg465Zn2WRWELA8Bdw8BnAhT/eJO7CFmorWy5aUSkVZCdc5Oq2xejVpSMWFFS302goyYnH0unhJdRbdPLD3MGX2LMbH8p8+XduUJAWjldo6508HgZaOgbo6JtQXZ5PTXkBCRe3cOmP15k2dgjHjp7kuedeZMLYUdza+wF1VaUazy8IAmX5yU3y+h42IpH47x7U7XsZupfCjNvt7huuDjbuPSnJSUDZivFXW1lM9PE1JJ75kbU//MhXX31LZHgMn678AEshlVt7lnH8h1lc3Pw84ftXIq+tatGr117KCtMbtaRsCbFY8kDFc4KgQtRGT/V7Ucpr0dNrPg9bqVQSERmBVEuPC1uXkB1/vkE6TSmvIyPqBOd/fwMDM3uuXr/e7jV38O+mI0eyg0dOWVkZWtq6zSadl+UlIxZLMGulTaC1Vxi7/9zD88+9BNTLCg0YMIgBAwYhCAI3b15n3fq17Nmzixv7PkGqrY9CXotSXoO1WzAuASOx6OTfaujLyX8opzc+j2//uRp5+coK7mBgatuuqmmRSIx7jwnYuPUg8cpOTv3yLGZ2XpjYeGBgZo9YLKGuuozy3ATK8uKxt7Xjg/feYsqUxzhz5hTz5s+h1G8o7j2nq51vJqiUlOffeWAR9PvxG7SQM7+9RHrU8XZrWkJ9SPvWoa8IGP6i2iLfD4xIRMzxb6gozmL8+Mms++Qovr5dGr7+5OPPkEqXsm3Hm/gOehZLp4BWJmuMrKYcRV2Nxp1K2oOxlQvlhWnYqZli0RJlecn49J3zkFbVFC0dA3QNLSjOjsPq7xcaQRCo+bsdZGHKJXJTrjNu/CRWbL+KuXm9Z1QqlTJ69FhGjx6LIAjk5uZQWFifH/nMs89QmpugcTOBlqitLKa6shRv7+bzse/FxsaGipIcBEHQOLwur61EXluJjp56+cVKeR2FOUk4OTWfA37y5DEEsQ4hU94nK/Y0ydf/JPLYGrR0DJHVlGNi64FP/7lYOgdx5ueFrFnzDd279yA4OKTDO9mB2nQYkh08csRiMbLaGhSymiahSqW8Fm0941ZvwNp6xhQ1k6t0+fIl3lj8Otk5Odh3GcKgBesaheNkNeVkRJ0g8tgaxBItfPrNwca9Z7P70DOyxNqlG3HnN9N1aPM9s5ujqiQbQ3NHtcc3h6G5I0EjX0ZWU05heiRleckU3LmJSqVEpZChrSpm7+49+Pl1bThPAwYM4tzZSzz3wrNc2fYanQLGY+/dt9VwtSAI5CRdQRBU6BqYPdCa70dbz5iQScu4vPM9lPJaXAJHa/xQLctL5sbeDzEwNse2hf/TP4FEJPDC0/OZPv1xTE2bnheRSMTKDz8hNCSUV197BQuXYFx6TEJfjeKOu9e8pu0928PdF6gHQSGroa6qpFGP6n8CA1Nbru5ejoGhCWKJFFltNWKxGB9ff2ZNHMbMmb9iadlyuFgkEmFnZ4+dXb2Y+PTHHuO3nUcemiGZFXOSYcNGoaXV9gta9+7B6GlLKcqI1OglAyDj7zSCliq7m6wr/hwqQcTYcSOZNWsO8+c9ibOzS8P3t29HYmLvh1gsoVOXwXTqMpiaikIUddVo6Rmha2BGZsxpzm16CSTarP1tB7IffkRLAkuXvMXjM2ZptP4O/p10GJIdPFJSUpKZMHEsOgamZMacapJLqG9qS2VxVrNG5l1Kc+Lx9GgcYtq7dzcvvfwCnn3n0m94WLMSNtp6xrgHT8Stx3jykq8ScfQ7PEMfwzWoebkcv8FPcfqXZ9E3scY9eLJahpBKKdc4J7MltPWMsffu26iCsyAtgoqEPfj7N31AOTp2Ys/ufRw4sJc133/P6Q2/YuMShJ65C0aWTki0dBFUCqpKc6kqvENpdhQSkRKJ9J+5DRhbudBr6ofcOPApecnXCBj2PHrGbUvHKBUy7lzfTXrEQZ5a+DSbtm7/R9bXHCqlnLqaCqZNm96sEXkvY8dOoFevvqz48H3+3PIy1s5dsXDthYmtJwamto2MxdqqEsrykslLvIBSUdfKrA8RQaA0K6ZdnrG71FYWIxJLHto13RKGxqa8/tFnDBw4GKVSiZ6eHnZ29og1CPHey+OPz+azzz/BtSRb7c5MLaGQ15IVfZRPNv6q1nixWMzChQvZuO2QRoakIAikhf9Fl4HqFcypVEpSbx3Eb/AiDM3sOXrpCL/80ou3336Xp5969u8xKqDx/17PyBL+du7fuXWA5Gt/EjD8BSydAhCJRH9rUt7mvfffp7i4qCHy00EHLdFhSHbwyFAqlUx7bApmHgPpZOHM7RM/YuvZq5E3TN/YGjP7zqSGH8Kj56QmcyjktWRHH2HZmv8IGZ84cZSXXn6RoLHvYGbv3eY6RCIxth6h9cUtO95Fqq1Lpy6Dm+6rrgaJWERpyhniqopwD53RaphbKa+jKOM28tqKNtfQXpSKOnR1Wu4EIhKJGDt2AmPHTiAhIZ4LF85x4+YNYmL/ora2Fi0tKZ06OdFzTCjdu79A586++Pl51udl/QNeMiNLJ/rN+pLr+z7h9MZncfQKxdorDDM7r0bnUqmQUVGYRn7yZbKiT+Dv35XfTp3H2tqGb79b3eqLxcOkoigDcwurhvBpW1haWvL16m/5aOVK9uzZwY5de7lx4RdkMjn6hiaIxGJktVXI6mrw8u7C8D4hbIg7h1Je99BbSd6PoqYEZCVEH/8O7/4LNE63KC+4w+1DXyCoVP/Y9XEXQSnHwMAAV9eH06fdwsKC559/mV//+JaeU1Y+0Nrjzv1K925BhIaqnyLw+IxZfPPNarLizjXplNQSCRe3IK+tUKv3uCCouH38R6Taeti6hyCWSDEeuIhOAWP4/KuV1NXJeGzaDExMTCnLiWr2ZaKuupS485vpN/PzRlGU+srwrnQbv4xVq15j6pTHsLFpv6ZuB//36TAkO3hkHDt2hGqZgH+PSYhEIooz+3Fx21v4DXoKK+eAhpu9W/fxXN/3MSKxGJeAkQ0P3MriLOJO/0ivnj0IC6sv1CkoKODJhQvwH/GqWkbkvRiaO9Jz4rtc3vEuprZeTfriZkYdYdq0GSx58y1efe1lTv2yCHvPXtj7DcfExr0hqb6qJIfM6KNkxZzC2cmZ3Oqih3C2mqeyMI3undvO0wLw8vLGy8ubefOebHGMIAgYGpk8lJB8S0ik2hhbODB5RB8sLCzYtXs34Qfj0DM0RVtXH5VSQVlRLja2DgwYMJAfPjrQqJuGk7M7pbmJD7UgqCVKcxPp2jVQ4+1MTEx5+eWXeeKJhcjlSrKzsygtLUWlUmJgYICTkwvSvz2/h48coazgDuYt6J8+LKqK7rD6q2/YvmMH57a+gmefudi692zTuyirqSAt/ADpkX/x1pJ3+OzzT6gqzcHQ7J8Lb1eVZOPi8nCMyLt4enhQkpdK7Nlf8ek/t11e2ay4s2REn8SmezAymQwdHfWMf3NzC7b+vp0pUyeCSom9Txgl2bFkRJ2guiwPlVKOVMcAK+cAHHwHkhHxF6V3LjBu7ChO/fkePoOfb1E+qKaikJgzG6guzSVk8vuNoi+G5o50G/8eqz59nU8++RB9QxMqykq4uvt9ugxa2Oh/mBF1Ehu3Hi3+7g3N7LHzDGXz5t947bXFGpy1Dv5tdBiSHTwyDv51EEv3vg039M795mBgZk/UyXUgqDC06ISsupSq4kwGDhhIfkEUpzfsxsLOg+rKUkoLM5CIxdysK+XTzz7myQVPs3nLr1i5BLa7r7CJtRud/IaQGn4I/8FPNXxeW1lMZsxJnvziGJaWlvz262ZycrL5bdNGftn4BcWFeWjr6CGX1aKrZ8C0aTN48svjODu74Opmj7y2ssU8J0EQKM6KoTAtnNK8ZCqLM1EpZIjEEvRNrDGxdsfMwRdb92DEksY5WTXFqXSfPL1dx9ocIpEIP/8ASvOS/zFDEurX3bv3TEaMGMVLL72KTCYjJSWZqqpKtLS0cHZ2wcTEtNltJ4wfz57jZx+JIVmQeJZFix8slCcSiXBwcMTBofnzGRTUjcTsuH/UkJTXVVOcl0afPv0YOXIMBw7sY8XKFSRd2IiNVxgmtl6YWLuhpWsEgorqvwtbyrKjyE64SL9+A/jt5DlcXd346/AhyvKS/zFDUiGroaQwEz+/hyd2fuHCOV559WWCRr5CzJmNqJQKfPrPVb8ITRBIizhE/MWt9Jy0nPQbu3h60UJ+2fCr2gZp9+7B/Ll7H5Mmjyf6zM+IxFo4dx2OjUcIEokWdTXlZMedI+78JoyMTNm3dz/9+oXwwYqP+Wr1x+gaWmHjMwRDc0fEYgm1lUVkxpymIC0ce+9+9Jq2slkvvYGpHe49p1CSHUvw+LeorSrhzs0DXNi6hF5TVzS0ZqwoSsPcsUuT7e/F2NaX8MhItY63g38vIuFhKNZ28P8FBQX/XMhVHRY8OY87VZa43NcbVxBUlGTHUVNRSE7MSebNGMMrr9S/AZ8/f5YnF85DrGeJa/AUTKxcqS7LJSvqCFUF8QgqAa9BL2LRxg2xNapKcji35TWGPPUzUm095LWV3NiznCnjRvLBByub3aampoaKigr09fUxMDBo9HAZM24UNYZdm/T6FQQV6bePc+fWfpTyWmw9QjGx8cDY0gmJVBeVSkFVaU59cU3qTarL83HyH4Z7j4lo6egjr63kzC9Pc+H8FTp1cmr38d7Pmu+/YeO2w/iPfP2hzXkvtZXFnPvteSLCo9UOGd9LdnYWIaHdCZv3Y7t0MtWlLD+FiAMfEn07Xm3P012kUjFmZgaUlFShULQu/XLkyCFeeWMJITO+fOii2XdJC/8LY3kif+7a2/CZIAhcuXKJXbt3cf3GdRITYpHV1RfjmJpZ4ucfQJ9evZg+/fFGRvAXX37KtoMX8Rv64j+y1pzES1QlH+Ls6QdvEwr18mKhvYJxDJ6JvVcf6qpKuXXoK2qrivEbuLBNxYbywjRizmygtqKIbqNfw9jKFYW8lstbX+OjD5YzZYr6MlRfffUF3675Du+whdi4Bzfb87qmooDkK9tRlCZx/uwpjI0tqa6u5eDBfXz19WpS7qSirWeMtp4RNu4hdOoyqM3fgaymnBM/PcWAuWsaCg5Tbuznzq19hEx+Hx19UyKOfIOZfedWux+l3NyPp2kF69f9pPYx/xNYWT0ixYYO2kWHIfkv4r9tSH61+nO27juD37BXmv1eEFRc2vIia9esaQhdjxk7ilJs8Ow9q8nNP/zwV5RkxzNg3g8P/EC+sut9bD1CMHfsQtSRLxjUvw/ffrOmXcn+Bw7s4813ltHzsc8b1lVZkk3k0W9RyOvw7j0Da5dubYYYS/OSSLq6i7LcJLoOe57KonSsRBls37azXcfYEkVFRQQG+dJ39nf/iOh00pXteFvJWb/u53bPMXfeHBLzwbvf3Ie3sHsQBIGIg58weWQ/3n77PY2318SQVCqVdA3sgkf/Z7Ho9PD6Qd9FEASubH2Vrz77hOHDR7Y6Vi6XIxaLW5V6yc3NIbhn0D9myN/a+z6vPjuP2bPnPpT5Xnv9Zc5cT6TriNcaPhMEgYyo4yRe2Y5ESxc7z96Y2rijZ2KDSCSmrqqY0rxk8lNuUFGUjkvASDxCpiCR/keAvCgzmqjDn3H50g2srKzIzMzg4sXz3Lp1i9i4eGpqa9DR0cHdzY3u3bqRk5PNj+t/JnjyCvRNbFpdsyAIJF/eRl3+DU4cO4mhYb38z7wFc0mtNMc1aIzG5+H6/lVYOQfi3HU4UF9IdmLdfESoqKutRlfPAG0DC/rOatpmsmGOnW+xbOmrTJ48TeP9P0w6DMn/bToMyX8R/21DMj8/n+49/Ok1/TMMzByoKExDVlOBnrElBqZ2ZCdcIC98BzeuhyMWi4mLi2XEyKGEzV/fbGFCzJmNiCQSfPrOfuC1pYb/xZ0bexAUNbz04iu8/PJr7TZOFQoFob2CMe88GscugyhMv82N/atw6z4O9+BJzVaUt0Z2wkWiTvyISFCwfdsuevXq0651tcazzy3iVlIpPgOfanuwBshqyrm45SV2bNtJ9+7tl2LJycmmT98Quo5e+o+EhDNjTlEQvZcL5y6jr6+5BqgmhiTA+vVrWf39OoKnfKzx9dAWaZGHqUo9xYVzlx+aFuCcJ2Zxp0QHz94zH8p8dynJSSDiwEpuR8ZhYGDwwPMVFBTQrbsf/easQdfQvMn3gkpJfuqthrSS+r7cAjp6xhhbu2Ph6IudZ+8WC6Eij3xJTx978gsKuXL1EjZOfuiau2Jo7ohESweVQk5VaTY1RXfITLqBobkD7j0mYufVu82CH0EQuH34CyaP7MXSJe8CMHb8GBQWoe3SAo069RM6+iZ4hvyntWXU0a94Yd5kZs16AoVCQVB3f2z9J+LkP7TJ9pkxp8i4/gfht6I09tA/bDoMyf9tOnIkO3hkWFtb8+47y/nwo6WIpHqolAp0Dc2oKs1F18AceXURW3/f3uAFvHz5ItauQS3e1BWyqoeW16etZ4y9rRVHDh3D0FA9DbeWkEql/PD9j0x9bAoSbT0ij35H4MhXsHHr0a757L16Y2zlwpUdbxMRGf6PGJLLl31A7749sXLvhaXTw8tViz/7M2NGj30gIxLAzs6elR9+zLIVKwme8hE6+uoJNqtDZXEWCec38sfv29tlRLaHBQsWsnPXDu7c+BP3h9jDurosj6RLW9i358BDFZRe8cGHhA3oi7V76EMTr1cqZMSeXMP7y1c8FCMSYPOWX7F1D27WiIT6DlI2bj3a9Vusqy6lqryEfX9F4BUylQHz56Gl0/K6feV1ZCdcIPHydlIjDhEw7HkMTFsWoheJRDgFTeCXjZ/w2qtvoq2tjVQqRd7OLjmCStkk6qFS1KGlpYVIJEJLS4u1P6xn2mOTKcqMxrXbGAxMbKkuz+fOrQPkJlxg6+/b/+tGZAf/+3S0SOzgkSOWSPEb+CRDFq6n38wvGPrUBlyD6gWr/6mcMXVQKlUoFPKHMldwcAizZ80h/PDX+A99tt1G5F0MzewJmfohn3zyMdevX30oa7wXa2trvvjsS2JOfEtNRcFDmTM98gg1RYms/PCjhzLf9OkzGT9mFLf2rdCoF3FrVJZkc3Pv+yx5cwmhob0eypzqIBaL+eH7H8mIOEBO4uWHMqestpKIv1bxzKLnCAgIeihz3sXZ2YX33ltG9LGvH8q5FwSB+HMb8PF0Y9asJx7CCuvZuWsXNl4DHtp8dynJSeDMby9haO7AoPk/4hI0plUjEur7ZnfqMoh+s77AspM/57e8Tl5y679dU1sPdAws+euv/QA4OzlRVZyBoFJqvObKogz0DBs3ZMhLjaR//wFA/f9g5ccrsXULRtfAlGt7PuLID3O4+ucKtHWNsPcKZeVHH9IRtOygLTo8kh08MvLz81nx4XJ6Tf+skSdRoqWDc8AItHQNef6F5xpC26GhvVn+/rIWNfek2vrUPSSDQlZTTn5RKV0DfJg8+TE+WvkJenoPpluYn5+HnUcI9l4Px4NoaOaAZ+/ZLHr2ac6dufjA67uf8eMnERcXx8+/Lqfb+PfazOtqjfTbR0m9vo0D+w5hb1xl3wABAABJREFUZPRw8upEIhGrPvkMleo1Dux8my5DX1JLc68l8lKuE3vye1575VUWPf3cQ1mjJri5efD7lu3MeHwqSkUdjj5h7Z6rpqKI8AMrGTawH28uXvoQV/kf5s19ksjI2xzbt4LAse+02yssCCriz21EVZbMT78ffWgvj7W1taQkxzNksNdDme8uJTkJXN39AX6Dn1ZbE/JexBItvHpNx8LRj+v7PiFg+Aut9i43dgjg6tUryGQyrl67SnJSPPGXtiGWamNm64VzwAhsPUKaKDrcS2VxJuUFd7D5ez+CSkn8uQ0MGTIce/v66vurV6+QkJhE3znfI5ZI8ek/t9EcgkrJhU3Pc/Hiefr00fy4O/j30OGR7OCRseX337Dz6NliONrOqzc1MiXnzp0BoHNnH/z8upJ8dXuzb8XymjJyEy48lDfmvORruHQbR5+ZX3Pmagxjx4+ipKS43fNFR0dx5MhhfNXsUqEujn5DkIsM+f33TQ913rssXryUZxY+yeVti8mMOaXxuZXVVBB19GuyI/5k/96/6Ny55Z7p7UEsFvP5Z1/y1uLXuLXvAxIubkYhq9FojrrqUqKPf0fyuXX8sOYHnnvun6lGVofQ0F7s3PEnmTe2cvvoao29fYIgkBl9kktbX2XGlAms/uqbf8yrLxKJ+PKL1YweNpAr294gP/WWxnNUl+dza98KpFV3OLj/MBYWD6+4Kz4+FmMzG7XbC6qDrKac63s/wm/wU+0yIu/FopMfPcYvJfzI11QWZ7U4TktHn02bN7Hy828xch/OkKd+ZuQL2xi8YB2OXQaSfH0PJ356ivw7N1qc486tA1h08qemvICsuLNc3/U2xpIKvl79TcOYHTu3Y+s9oMUcXZFYgo33AHbs3NH+g+7gX0GHIdnBIyMqKhpDm5YLJUQiMcY23ty8eb3hs6VLllKUfJ7wg59QmHGb2qoSirNiuX3kK2oK49CV1msyPghVJTmU5MTj6DMAPWMrAkYtplxlxuMzp1NX13o7O0EQmjW2fvp5HQ5dBqP9EB9qUP8wd+w6mrXr1/0jISeRSMQrr7zGH79vpzB6H7f2vk9eyrU2Q2uymnKSr/3Jxd9fpoePHZcuXMHHx/ehr+/uGp94Yj5nz1zEXr+c0z8/Sezp9ZTmJqFSKprdRqmQUZhxm6ijX3N24zN072zDpYtX26xqfhR07x7M5YvXCOniyIXNL5JwcQs15a2nFygVcrLiznJj9zsUxuxn29YdvPfu8n88NUQsFvPpqs/55qvVJJ7+nsjDX1KSHd/mtVhTUUTipa1c2voak0cN5NjRk1hZtd0uUxOKiorQM3y4PeOjTq7Hxj0Yh879H8p8Fo5d8AieTMSRb1r8TSnk/4+9s47Psnob+PepdXd3Bwtqo7u7EUWkMbE7UVAxUVHaIASkUTqlc2NjG4MV6411Pnvq/WMv+zHXY8Pg/v7jZ/d9znVCdnbd56pKzByD6TjuQ+x9e6OtZ4JEpo22vgmO/v3pOe0zggY9w9V91ZVz/kpWwgWy4/9EVpVN1N5FZEVuQyaSo1Aoefe9t4mKusaJE8c4cPAASVd/58B30zj5y/MkXd2LQl5WS5a2gTl38tqvwILAfwPBtC3wwNDV1UWZ3/jtUXlZIUuXfsyly5fJzsnh5s14TK1dKMpJJHvXYtCosLC05pGpjzBr5lp+Wf8jv+45eF95JFOu7cfet09Ncl+RWIJf3/lc3fMhy5Z9ycsvv1bTVi6Xs3fvLnbu3k1ExFVystLQaDQYmZjh79+BgQP6M3HCFLZv30rY5M9aPafGsHLtyI2Tq4mMvEpwcGi7jBEWFs6pP8+yceMvrFy9kviTqzGz90PXzBU9Y2tEYgnKqgpK81KoLEgm53YMffr055NfNrSolNz94OjoxJZffyMxMYG169awY8fnFBbkY2Hnho6hFSKxFLVaQXlBBnlZydjaOzF18hSmT1+JtXXrzfbtgZGRMd9+s5x5c+exctVKdm14DmNze/QtXNExcUSqpYtGraKyJJfK/CTuZNzE3d2Dt15+llGjxqKj03DZzPZg2LARhIWFs2r1Ctb9+AUSLX2MbHzQt3Cr9ssTiVHISynJTaIiP4k7abGMHTuOVZ8cxMen9b+rjdO2H1Z3UqPIT4+h9+PftKlct05jyLx5hrSY4zgG1C3Nmpd6vcnbTyvXULqMfZsL299H38QWExsPNBo1adePcuvMz2zauIWSkhLmL5iDkZ0/Fm7hSKRanL8RwZZhA9HS1scpeAS+7l2QSGUU5yaTEnmAWxe20Xn0mzUuIxUF6TgFt1+hAoH/BkL6n4eIvzv9z759v/Pia2/Sdcrn9d6cVFWWcmTVbAIHzCfq8A94hU+pt0RiiJ8r69b+jFgsJicnh65hofgPXIhEpk1VRTFSmQ4mtt7Nqi1clJPIua1v023Kx3VKJBZkxBF7+EuiImOQSqVs3ryRt999C10jayw8emJi44m+iR0ikYjKsnyKshPIT75Axq1LSLV06T93XdtsXD1EH/yKedNGMGtW26brqQ+JRMStWzEcO3aS8xcukZqejlKhQE9Xj8AAf0JCQujevec/oh5vbm4u165dJTMzs6aknbOzCx06BGFk1HaR3n+lpel/mqKkpJirV68QGRnB9ZgYysrKkMpkONrbExISQnBwaJvVpb5fFAoFp06d5OrVy1y4dJmcnBzUahWGhkaEBHUgJCSU/v374+7u1Gb7Ux+XLl3gsZmzCH/k67aRt+cTTG28cO88tk3k3UtG/BluXfiNntNqn4WlBemc2vgyA+asabS2vEohpyAzjtvRRygvyMLGsytZcUcw0tdh9aq1aGlpM2z4IIKGvVorV+mlPZ+gUsjpNPLVev3O02KOEXNiHd2nfoq2njEnf5zP73v24e/f9vlOW4KQ/uefjaBIPkT83Yrk3fyKBk7dces8rtY7tVpFxL6vAFDIyzB3CMCjy7i6MqoqOPfri6z47jv69u1PZWUlL774HNt3bkdb3xQ9I2sU8nLKCtKx9+2FR5cJ6Bpa1Duf0vw0zm59B58e03D0r3szoNFouLDlZRa9/Tpbt/3GlchofPrMb/L2M+HSTu6kRNB1/HvN25hWkHBpJ/7WVSz/7od2G+Muba0k/RcR9qhxHsT+lJaW4unlxMAF65HK7u+GVl5WyNG18+k/e2W7JGFXq5QcWT2XzqPfqBUwFnXkB0QiCQH96vetrqoo5taFbaReP4quoQVauoaUFWahrCxh2LDhfLb0C4yNTXjq6QVE3q7C6568n4VZN7m4azH9Zv7QYEo1gOvH16KoLEVdWUCovytr1/zYZutuLYIi+c9GMG0LPDCkUilbNv/GmLEjyUm+inPQUHQMLSi5k0JyxB9ItXQJ7D+f07++Rujw+sv1SbV0sfMfzJq1a+jcuSvjJ4whq7CKruPew9TOp+brvqwwk8TLuzm18WXCJnxQ67ZRo1GTnXCBa4eW4xk2qV4lEqp98Wx8B/LaG69jaOVB2OTPGj2A76JWKdBvp7rEd9E1siI942K7jiEg8G/CwMAAB0dXirIT7svVBSA/Iw5ja/d2K8kplkixcgkhLy26RpFMvX6UrFvn6fHIp/X2qSjJ49zWtzG28SB80ocYWTjXvCvKSeTKpd8YPHQge3fvY+/eXYRNXlqrf0rkfpwCBjZ5hrkED+PEj08zYuQYvvv2+/tcqcDDgKBICjxQ3Nzc2b/vECGh/iiVVSirytE1sMCj6wRs3LuSnx6DgZl9o2ZpE1tvbl48w9PPPElehRYho16tU8NW38SWwP7zMDC158KORfR5/BtUSjmp0UdIubYfkVhK0KCnsXbv0uh8jSxcqKiU023wC82uQKLRqBG1orRiSxCJxKgaCCwREHhYGTF8OPtOnbxvRbIo+xYm1q1PLdUcjK3dyU+PRaWQk3RlD7cubids4gfoGtYNQtJo1Fza9RE2nuH49KhbLtbYyo0OQ18m7sRqHp3+CBXlpWjrm9RqU5h1k8CBdSvY/BV9ExtMLGx56smnhGTkAs1CUCQFHjgajQYdHX16TP2kzjuJTIeqihI0Gk2DEahVFcXIpDKOHD1En5kr6yiR9+IaOoLUmGMc/OFxNGolVm6d6TDwKcwdA5sV4SrR0kEklraojJ1US5fyouxmt28NCnkpJoaCuUfg4Uaj0RAbG0NExBWuXL1KYlISqbHnqKwox9jaHWMrd0xtvZplSbiXssJMLJ2D22fS/4+BmQMJl3ZwYu0cdPX0cQ0d0aDyeiclEmVVJT49pjV4bolEIrx7PsGfP83HzNyKopzEWgq1RqNuskzjXSRSGUql8KEq0DwERVLggWNsbExVVQWKytI6Od+Mrd1Rq5UUZMRiZl9/+pic+BM4WJih1HNosroEgHunMSRe3kn4xA8bdWCvD1VVRbPGuBcjCxfSrh9rUZ/moJCXkZ1wgcKsm+QkXSJZpCIwyA9DQyMCAzvQuWMogwYNxcnJuWlhAgL/YsrLy9myZRM/rFxBTk4O5va+6Ji5oGPgj3/fABTyMopzkkiLOUZlaT6O/v1wDhqKvknzAsLUKgViqVa7rkEs1UJLArt2H2DTpg0cuZrRYNuUawdwDhrSpCIolkix8xuItDiGtGu/Y2bvV6N46pvaUZgZj6lt4wnbqyqKKc7PxNnZteWLEngoERRJgQeOgYEhPXv2Iy3mGK6hI2u9E4sluHccw7XD3xM+YVEd80xazDGKsuJwtAzGqJGclPdiZu9D1OHMFiuRUO17pNfMPz53MbZyoyQvtcGKPPdScuc2hdm3kGnrYelcf13x8qJsbl3cTkbcSUxsvTCz88O/71x0DMwQicRUVZZwIyeJqxt/5/1F7xMW1o0XFr7QLjW5BQT+bs6ePc2Cp+aDlil2AWPxGdGpUatE8Z0UUiL38+eGF/DoPAG3TqNrtVerlOSmRFBVUYShhTMm1h6IJVLUyqp2XYdaWYWNjS1+fv6MGjWaTVsewavbtHrXUpqfhkeX8c2Sa2rnQ35+NJryTOJP/4xH1ylIZNo4BQ4i5uQ6XEKGNaqQpl4/Qq9e/bCysmr12gQeLgRFUuCBk5+fh4O9HWe3bSE3JQIbjzDsfHrWRFq6hAynvDiHYz8+hXPgQMwcqm8Ysm8cpSz/Nps3beWTpUubGOVeRKhVCuTlhWjrmTS7l0ajISVyP949Hm3R+mQ6BpjaepMRfxpH/371tqmqLCVi35cUZMZj7uBPZVkBkQe/I7D/POy8e/z/+GpSIvdz4/QGHPz70+uxrxosW2jhGAiAt7yMtOvHeOTRRxgzejSLPvgIAwPBBC7w70ej0bB4yYesXrMKrx5PYOfTq1nuKUYWzgT2n4dryHAiDnxDdsJ5Oo95Ey1dI3JTIonY/xXaeibomdgQd2o9esY2GFu5Nlp9pi0ozU/D3c0dgE6dumBtaUl2wkVsPcPuW7ZEImbv7j+Y8cTjHFs9CxuPzogl2lSVFRJzYh1+vWfWu3cFmfHcPLeZ0ImTyc7O+kek9BL45yNUtvkbOHnyJOPGjSMoKIi+ffuyYsWKRitDVFVVsWLFCoYMGUJwcDCDBw/m22+/paqqfb+Y24Pjx4/SsVMQJy/fxKfXDKzdu5AWc5zj656k+E4KAGWFGairSrA0M8PfXkrq+Z+IPb6K3NQ45JVypj4yhcLCPPLTrzdrzIKMOLT1TDjz6xvIy4uaPdf89BiUVRVYu3Zs8Tqdg4aQHLGvwf+vV3//HC1dIwbMWU2nUa/RY+ondB79OlFHVpCfEYdKqeDy3qWkXDtI2MRF+PeZ2aza1zLtal+rbtO+5M/Lt+jTtxdpaaktnr+AwD8JjUbDG2+8yi+bthA25TPsfXu3uIqPgZkD3ScvxsjKnbNb3qIg8wZX9n5KhwEL6PnoF3Qa+Sr9Z6/C1NaLnKQrFGbdbKfVVFOWl0TnTtVni0gk4oXnnyfx3C/1nlEyXSPy02ObJTcvLQalooqBg/sTExOFWq0iJ/EStgYVLPnoI9QFsUTuXcKd29dqzqeKklziTv3C+W3vYu/bh9PXbtO5SwjbtwvlEQWaRriRfMBcuXKFJ598kqFDh7Jw4UIuX77Ml19+iVqtZsGCBfX2Wbx4MTt37uTJJ58kMDCQ69ev8+2335KRkcHixYsf8ApaT2rqbWY8MZ2AQQuxcv1fRRbnDoNJjtjHmV9fw8zSntLCbCZNmsrcOUt57PFHkRjYEtpzfo2/T2HWLa7+vpSKsih8ez3RZOLx5Mh9eIZPoTgngct7PiF80kdN/hFSKRXEnvwJ56ChiBoxmzWErWcYN05vICPuJPa+vWu9K85Npigngf5zViO5xw/LzN4P985jSby0E41GjVpZRY+pn7Q4UABAW8+EwCEvcuvcr4wYOZT9+w5hY2PbYjkCAv8E1q5dxfbde+k0/sMWWRX+ikhcnaMx+sgKLu/9DAe/frUyN4glUnx7zaj2Rc6Mp6qiuH3ySKpV5KVEEB7+es2zSZOmEBl5ld92vU/QiDfRNayuQ16Uk0hxTiLysgJcQ0c2enap1SpuXzuAUiknZOgLWLt1+v8z8yapkb+z9LOlbNq4mWPHjrJq9SquFuSjUqtRq5TY+fSk2+TFGFlW+0baB8Tz4ksv4OHhSYcOwW2+BwL/HYQbyQfMd999h4+PD0uXLqVXr148//zzzJo1i5UrV1JZWVmnfWFhIb/++itPP/00c+fOJTw8nNmzZ/P000+zbds28vPz/4ZVtI6161Zj49mtlhJ5F5fgoZjZuDFxzHCio27w6Sef8fwLz4OhO8EjXsfcwb/mANXWM6ayvAhL5yCiDn/faB3o5Ig/qCjKwd67B359ZlFenENBRuNf9mqVgmsHvqSqshi3jqNatVaxREbQ4GeIPraaytLa/48KMuOxcOpQS4m8i7VbZ/LSriMvL6LTqNdbpUTeRSQS4RE2BT3bYGbOfgK1WkiULfDvIzk5iUUfvk/A4BfuS4m8i0gkwr/vbNRKOVZunep9b+kSikhUnduxPchOuIi1lSUhIf+zdohEIr777humThzD6Q3PEXdiNSV5qcSdWo9n2GSkMh3iz2xsUKZGoyH2xDr0TGywcOxASW5SzZlpYuNJ4OCFmHn0YdacmTz11LNEXI3ii8+/RN/QlIELfiZ48LM1SiSAqa0XDh2Gsvz75e2yBwL/HQRF8gFSVVXF+fPnGTRoUK3ngwcPpry8nEuXLtXpU1JSwpQpU+jXr7avnYuLCwCpqf8es+XBQ4ex8ghv8L2VR3eSklMwMDAgKiqS6OvRePWYUecLPCXqIHZe3QkZ+jzlxTlc2PEhBZnxtczI5cU5XD+2mpvnt9Jl7NtIZNqIxRKcAgeRHLGvwTmU5qcTsWcxeppCTM1sWpT256+YO/jjGNCfizs/RFFZWvNcpq2HvKyw3j7ysgI0aiUhQxfelxJ5F5FIhFf3x0hOzWLdj6vvW56AwIPmxZdfwCloOMZWbVcSUiyRomdii7y8sN73yopCJk2aTHrUPpRVFW02LoBGrSL16g4WzF9Q52wTi8W8/94HHDtygj6hjlzY+jp5qVE4dxhM5zFvkB53koj9X1Oan1arX3FuMlf/+JzclAg6jXwN905jSLl2APVfPrLdOk+gqLSSY8cOIxaLiYiMwMqjO7IGAhFtPLtz7NiRNl2/wH8PwbT9AElNTUWhUNQogXdxdq5O15KcnEyPHj1qvXN0dOS9996rI+vQoUPIZLI6shpDLBYhFrfMr6gtUatViEQNm4nVajXJyYm88OJzXL58ERvvXkiksjrtUqMP03n0G0i1dAmf8AG3Lm7n0u4laOkYomNogVJeRknebey8e9B96ifoGf0v+tA5cBBHVs8hL+06xlZuiKVaKOVl5KVdJyvmIAVZt3j88SeY8fgM+vTtjVIhpyQ3mcLsm5Tmp6NWKZBp62Fk6YqZvV+Tfou+Padz7eB3nP71NbqMfRs9Y2usXDty7fByCv+S9Fij0XDr4nZM7XzRN2k7M7RYIsO331MsWvQe0x55FAMDg6Y73YNEIq71X4G6CHvUOK3dn4SEW1y8eJ4+M1e1+ZycAgeSeGkndl7da30wlhdlk5tylTe3raOwqJj40z/j23dem42bdGU3VqZ6PProY0il/9uPe/fI29ubTz9ZipaWjP2nbyDT1kOmrUf3qZ9y8/xWTm96FT0TW7R0jZCXF1JRnIujf38C+s9HS8cALT1jZDqG5CZfwdqtc80YapUSXRNnXn/jNbp330tCwk3UqobPMJFYgkqtqjVPAYG/IiiSD5Di4mKAOn/I9fWr8xSWlpbW6VMfBw4cYNeuXUyfPh1jY+Nmj29mpt9iB/W2pH+/Phy7cglzx4BazzUaDclXfyfu1M9YOfhyOVlNRp4cR5u6B5xKIUdeVlBjgpHItPHuNhXPrhPJT4+hqqIYiUwHMzufOjkqAbT1TdDRMyTm4OcUFxWg0WiQymR4evny7qtP88gjj6Cvr49SqcTU1ITj655EJJZgZu+LobkTYqkWiopiMm6cJvroKkxsPfHoPAELp8B61ywSifEMn8SfPz/H2V9fwiNsKo6Bg/HvPYsL2xfhGTYRK5eOVJblk3BpJwUZcfR94rs22O3aGFu7Y2bryR9/7GTevNb9UTQyann6pIcNYY8ap6X788v6H3Hw7dOq1F1N4eDbm5TIfZzd8gZe4VPRM7ElLy2alEtbefvtN/H39+SnH1fj7eNHRnwAdl73n04rPz2WuNMb+fKLz7C0rP/svnePEpOSMLL5X5ozbT1jAvrOxqfHo+SnxaCsKkemrY+ZvV8tC4ZIJMLUzpvS/PQaRTLjximij65Cz8gKG88wrtyG4jwlmQl7EEukeHWbUictUE7CBXr26Impacty6Qo8XAiK5APkro9aQ8qcuBll9fbv389LL71E586deeml+utRN0R+ftnfeiP5xIxZrF/fFxuvnhhbu9c8T7y8i6Sre+kx9VOMLF2A6ijC+qIXVcoqRGJJnQAYsUSKhVOHZs1DV8+ALRvXExQUjEqlxNLShJKSSlQqNVVVEB19hSdmPUEVegQNnoWFU4d6864pqypIiz3OlT8+w8a9K/59ZtVrjk6+tJ3x4ycyb+48Fjy1gNNXd2HrNwDfXo+TGX+am+e3ItPSR0vPGHufnugYmDdrHS3F2ncgX3/zPZMmtSydkUQixshIl+LiClQqwc+yPoQ9apzW7s+evfuwCX2sXeYklsgIn7SYY6tmkn7xZ4pLivD29uW7ZV8zbNgICgrKkEr12LRxM+MnjAVE2Hl1a/V4+emxXNy1GPdOY3n7vY+4lZDCe+++X/P3oL49KiouQWxS15daKtOp19f8XiRSLVQKOQDpcX9y/dhqOo585S/lI8fgXZTNhZ0folRU4t9nZs2bsoJMbkfu5pP1GygoKGv1utsCQZH9ZyMokg8QI6Pq6L+/3jyWlVX/kjZlcly3bh2ffvopXbp0Yfny5WhptazyglqtQa1uOM1Qe+Pu7sWnn37OK6+8iJ1vXyxcOlFZVsCN0xvoNf1rDEztatraeIYTeeAbvMIm1VIapdp6aNQqVEp5Td7JliKvKEFf3wC1GmQyLUQiESqVGqVSzbVrEYwbPxrH4NF0HTiy0YhtqZYuLkFDsfPqTsSBZZzf/j5dxr1Ta165yVfJS7nEOxsvYmFhwYljpzh//iwrV6/i5Mn1yCvlmFs7I5HpkJeVjEfnsa1aU3OwcAri8L7PKSkpQ1e35Tc8d/dIoGGEPWqcluxPeXk5t1MS8B7q3nTjViKVaWPtEsgrTz/BpElTa57fO8fQ0M5s/nUbj0ybRHFmLB7dprXo7FGrVSRc3E7CpR0EDXoWW88wnIOGsH7TuxgaGLFw4Qu12t+7R0YGhqRXFLdqbYrKUvSMrFEpq4g+upLOo1+vt1qYnrE14RMWcWzdAvSMrTC0cCY/NZL06EO89OLLdO3aXfg3LdAogiL5AHFyckIikZCSklLr+d2fPTzqr7Oq0Wj48MMPWb9+PUOHDuXTTz9tsRL5T2HSxCmEhnRk1eoVnD6zlYKCPOw8u9ZSIgHMHQKQaumSeGUP7p3G1DwXiyUYW3uSk3ipJnF3YxTnJpNy7QBFOYmoqipAJEapUFBYWFinbW5uLhMmjcMtfDoOfn2bvSYtXSM6jXqdq79/TsT+r+k44hVEIhEFmfFEHfyKlT+sxMLCAqi+jQ4L60ZYWDc0Gg3p6WnEx9+gvLycefNnY9xArd22QKath7GZLTEx0XTs2LnpDgICfyMJCbcwMrFqF7P2vWgZOxAX13gmhy5dunL61HmeW/gs5za9gEPQyCZN7iqlgsybZ0i8tAOJTIcejyzFwNQeAB0DM4JHvsGXX79C//79CQwMAqrP+rNnT7P8+x84cuQAlRXlAMSf+RU7n564BA3BwMyhyTWpFHKyEy/h1nE0mfGnMTR3aLDkLFS7/DgHDiQrai9V5haEhoTw/Ud7a+YlINAYgiL5ANHW1qZTp04cOnSIWbNm1Zg0Dhw4gJGRER061G+a/eKLL1i/fj0zZszgtdde+1v9HNsCDw9PPvn4MwDGjB1NpUndhN8ikYiOI17h7Na3qCzNw63jKHQNLYFq36bEK3saVSQLMuOJPfkjJXmpOPr3xzt8ClItPZSKSvJTrzF+0nicnZz5ePFiRo4cCsALLz6HuXOXFimRdxGLJQQNeZaTPz9HetxJVPIyEs5v4vPPvmLQoKH19hGJRDg4OOLg4Ehubi6gQcfArMVjtwQDU1tu304RFEmBfzzl5eVN5ohtC6QyXYpLmvZPt7a2YdPGzRw6tJ+ln3/GwR/WYekUhImNJwbmTkikWqhVCsoKMijMvkVeajT6Jja4dRyDvU/POtYNfRNb3LtM5oWXXuDQgSNERV1j9tzZ5OTmYec3kG7TvkJH3xSNWk1ZYSap0Yc5velVTGy8CB7yXJ3ysfeSefMM+ia2GFm6kBy5Dyu3pn/frdy7QvFNTv95psm2AgL3IiiSD5gFCxbwxBNP8NxzzzF+/HiuXr3KmjVreOmll9DR0aG0tJRbt27h5OSEmZkZsbGxrFq1ioCAAIYOHUpkZGQteR4eHi2Owv0noVQpEYnr/2doYGZP96mfcPPsZo6vexo9Iwv09Q3Iz0lBo6lWFk1tver0y068SMS+r/DuPg1H//51/BYtnYPwDJ9CetxJpkydwupVP2Bj48jpM6fpMb31OdOkMh0C+s3jyh+f4eLkzJ7d+wgMbJ7fplKpQHIfqYaai0gsRaFQtPs4AgL3i1QqaTRHbFuhUavQktXNDlEfIpGIQYOGsmv3boo0lhhbuVOYnUBeWjQqpaI6rZCxDRaOgXiGTcLIwrlReY6Bgzm5bhsbNvzMW2+/gXvYI/QYOrC20ikBI0sX/PvOxrvHo9w4tZ7Tv75K+MQP0TWyrCNTIS/j1rnNyMvyubDlZUqL8nHpOLrJtYnFUpTK9t9vgf8egiL5gAkPD+ebb75h2bJlPPXUU1hbW/PKK68wc2a1k/P169eZPn06S5YsYdy4cRw8eBCNRkN0dDSTJ0+uI+/nn3+ma9euD3oZbYavjw9nrsc1WF9Wz8iKoMHPIJVK8XfSZdbMOXh4eHHo8AHeff99Ok/4qFZ6n4KMG0Ts+4qOo16rqT9dH2KJDEf//hiaOzF77ny6dumKnd/A+zajWbqEoG9gyjtvv9tsJRJAR0cHRZUcjUZdb2BPW6FWytHVbf9bHgGB+8XW1o7igux2/52oKsvFvhGz719Rq9Xs3buTsCmfo29ig2NA/1aPLZHKMHMO5bXXXyFw0LPYeDReZ1sq08G/72ykWnpc2LGI7lM/qXVmKSpLifzjEwb068XHiz/hxo04tm3byvGL8U3OpSAzDm9v71avReDhRVAk/wYGDhzIwIED633XtWtXbty4UfPzc889x3PPPfegpvbAeWLGTLYMH4x718kNKnEKeRlpcSdZv/xPPD2rbyAfnTadnJxsvvv+DfwHPoe5QwAikYjrJ9bi03N6o0rkvZjYeOLTey6nDn1H+OT7LzcpEomw9uzBiRPHGTJkWLP7mZiYYmhkQllBRrN8oFpLYU4y3t4+TTcUEPibsbW1Q0dHt91/J8ruJBEU1PwzNiHhFhKpdpM5ZJtLeWEODoGDm1Qi78Wr21QKsm6Qev0oriHDUVZVkB53krTIPfTt1YNlX3+LlpYW4eHd8fT0ZlOQL54luTXuQX9FrVKScf0g7y1v+9RjAv99hCyjAn8rHh6e6Onrc3HXYpSKuiUilVUVXNr9MRKJFjt2bq/17oXnX2bJR4u5dfw7Lmx+ibhT6ykvzMTBr18dOY1hZu+HUlmFgbnTfa3lLkbW7ly6fLlFfUQiEQEBQRRm3WqTOdRHZWk+VfJy3N3bL6BHQKCtEIlEhIR0JC81ut3GqKoopjA3jQ4dmh9UkpBwCxNLpzbxVa+qKKYwKx7XkJEt6icSiXANGcmt81u5tu9Tjq+dg375db5c+infL19RKxhz3769iKUyLu5cTFU9EeBqlZKr+75EIS8jNLRuyUgBgaYQFEmBv5VNm9Yj1jJEpq3H8XVPcfP8Vgoy4ynIjCf+3GaO//g0WrpGhE1ezLfffk1iYm1Fa9LEKVyLjOHTjz6g+PbZap/IeqrhNEZVRTHaeiaIG0n10xJ0DS3Izc1pcb8BA/qRn3KhTeZQH1k3zxAW1gOJpG3WKSDQ3kx/bDpZcYdrlT9tS1KjD9Ov/yCMjBov7KBQKDh27Aiff/4pn33+KRXyqjYa/wiWLiGtCrKzcglBKpMyqn8Xjh05we6dexk2bEQtBTc/P48333qNLuM/wNTOl+M/Pk3snz+TnxFHYdZNEq/s5sRPzyIvL8LIyo3l33/TJusSeLgQFEmBvw2NRsMPK1fgHDqOjiNfI3T4i5TkpRJ5YBmRB7+hLD+D0BEvEzr8JQxM7bH37cOatWvqyJFKpQwfPhIjI2Os3Fr5Rd2WkfAaDXn5+UycPIFPly7h0KH9lJeXN9lt6pRp5CRFUFFyp+3mUjMlDRkxB5k3d26byxYQaC+GDBmGSl5Cftr1NpetUlaRcf0gc+c0/DtRWlrCJ58uJrCDL08tfIHfDl2hVOpIVWXbJOguyknE0iWkVX1FYgnWrqFYWVnh7u5Zb5uNm9Zj5RKCsZUbgf3n0nX8eygqS4g6tJyI/V+TnxZDQL85hE/8ALfOk/nxp3VCMJ5AixF8JAUeOHFxsaxes4oTJ0+QnpGO9/DOiEQizOz9Gs11ZufXn9+2fcxHHy6p931paQm2rQiW0TWyQl5WgEohr7cyTUspK8xEx8iGQi0fdhyNYv3mHZTkZ/LII48ye9YcXF3d6u1namrG2HETOXdhC/79n7zvedxLRtxJ9LWl9O07oE3lCgi0J1KplLfffJtFSz6h6+TPWvX7qVYpyE64SH5GHEU5CVSVF6HRaNBoVBjpycjOzqaioqJOkv6TJ4/z1NML0DJxwnfgi5jYeiESiaiqKCE54ndUSkWLrR9/RVlVcV8BfiKpLiUlJQ2+/3XzZqx9xtT8bGzlRoeBT9Vqo1LISYs5RnrsSUpLy+ka3pnwsHBmz5pNSEjd1GwCAn9FUCQFHhjFxUXMmTuLc+fP4eDXD32nHuiVHmu2SVnPyIqigryG3+vpo1K23OQk09ZDx8CcotwkzOzuPxClMCseC6cOOPr3A6r9NUvu3ObY5YOsX9+DZ55+jueeewFZPSlH3n3nPcK7dSEn+SpWrbyp+CuVZQXc+HMtmzb8Kpi1Bf51PPLIY2zfsYP4M+vx7T2r2f1UCjm3Lm4n5dp+9IyssHQOxi10JDoGFiACeWk+RTmJLPr0K15+5QUenTadl19+FUNDI9auXcWijxbh3XtOnRrbWrqG6Jvac+d2RE0d69YikWnXlDFsDRplJfr6Dad/y8u7g20jQUEZ8aeJOvwDhuZOOAUOQL/bVNQqJddSoxg/cTxeXl78tO4XrK3bJrBI4L+JoEgKPBBKS0sZOWo4FRIL+sxchUSmTUFmPLejDjVbhlIhR0u7/huJ0tJSrCwtyU+LbpUyaGBqR9r1w/etSKpVStLj/qTTyNdqPTe0cMKn92wcOgzj583fsXvPbjZt3Iy9fe1oVDMzc776chlPPfMUeuM/rFPxp6WoFHKiD3zOlMlTCA/v3nQHAYF/GCKRiOXffc/AQf1IuPgb7p0nNNknPyOOyP3L0De1o8vYtzGpr2KUNVi7dwGqP/T2nfyNbds7M2niJH765Rc6jVuEobljvfKdAgeRHLHvvhVJLT1j7qRewymw/iwejaHRaMhKimD1mhuYmpoyZsz4Oreq2to6DSqqabEniDm+lk6jXvtL/W0wdwzAvcsEbp7ZwJBhAzl04GhNdS4Bgb8i+EgKPBAWffgepWoD/Ac8XWOeMrRworIsn9KC9GbJyE68QEho7YM7Pv4Gr7z6EgGB3ty4lUzS1d9bnMRYo9GgLM8jK/40laX5Ler7V9LjTqCjb4pJPYnSoVph7Tj2AzQmfgweMoCUlOSad0lJiXz2+Ses/XEdGrWS05tepeTO7VbPRSEvI2LvYgI8HVn0wf2nNhIQ+LuwtrZh967fKUw4QcyxH1BWVTTYNvPmOS7u+BDPsIl0HvNm/UrkXzC0cCJwyAs4dZ3ODytXYOs3sEElEsDRvx8ld1LISmh9cJxGo6Ei/zY5CReoqmy6ss5fKciIRa1WYRk4jk+++oGAQG+OHj1cq014WDi5SRfr9K0oySP6yAq6jH27jhJ5F7FEhlePx9Gx8OWFFxe2eH4CDw+CIinQ7pSWlrB58ybcwx+tlVhYKtPBwbcvyRH7mpSh0ajJijnIgnkLap6tXbuKgYP7cSoqiy4TP6bbo8uQ6Ri0+HDPS41CKlby6KPTiTu+otURopWl+cSc+BG/PrMaTQ0iEkvwDJ+KuVc/Ro8ZwalTJxk7fjS9+3TntwMXKdTyoePYD3DvNJbTv75GwuVdLVaOc5Ovcnbj83Tr6MdPP66v14wuIPBvwsXFlcOHjuNuJeHsphfITriARqOu1ebO7SiuHfyWzmPexMGvb4tT9Nh6htN9yhJSIveRdetcg+2kWrp0GPgkUYeWU17c8gwNAMlX96AnqaRHj96kRR9uusNfSLr6O84dBmPv04vQsR/g2/9ZZs6awe7dO2razJ0zl/SYw6iUtQNobkcdxMajKyY2jSvZIpEI97CpHDt6iMzMjBbPUeDhQDBtC7Q7u3fvxMzWs14zrWvoSE5tfBkLx4AGE/JqNBpunFyHFCWXLl0gPT2NsrIyvv72W7qM/whDi//lf/TtOZ2I/cswMHNo9EbhLuVF2Vw/9DWfffopgwcP51j/Xtw8sx7Pbo+26I+QorKUi7sW4+jfv8Ev/L/i1mk8kXduM3nqRDzDp9Jn1txajvdGli5YuXUk8sAy0q4fwzVkOHY+PZHKdOqVp9GoyU2+Sub1A5TkJvLV518xYsSoZq9BQOCfjqWlJet/3siuXdtZ9NEibp7+ERuffpja+aJnbEPE/q/oMPBJzOx9Wz2GkaUrocNf4srvn2Fq69NgTWsr1464hAzn7Ja36DrunWYnTddoNCRf2U36tT388fsBSkqKGTtuFKZ2vpjaNa+yzO2oQxRkxBHQ738R51auoYSMfINnn3saIyNjUlNvk5Z2GwszEyL/WErwiFdr/NFTow/TccQrzRpLS9cIW69wNm5az4svNK+PwMOFSNNeCboE/nHk5jYc3deefPTR+/x+NhmfHo/V+z4v7TqXdn+MU+BAXIKG1tSP1Wg0FGbd5Nb5LdxJjcbWPRQdQxvK7iSSkxpDj0c+q6VE3iUlcj83zmwkeMhCLF1C6lUINRoN+ekxRB/4ktdfe5H5855BqVSTmZnByFHDERs5491zJjKdpuuYF+UkErHvK4xtPAga9HSLyrkpKks5/tMzdBiwoMZf66+o1SqyEy6QErmPgsx4jCxdMbZyQ8fQHJFIjFJeSmVBCvmZtzA3M2Pe3HlMnjy1ydx4zUUqFWNqqk9BQRlKpbrpDg8hwh41Tnvsj0aj4dSpk2z6dROXLl/i9u0kLJ1D6Tz69TaRH3VkBYrKUkKHv9hou6Qre7lxdiOeXSbiEjys0cjy0vx04v9cg5amhI3rf8XDozptz65d23nu+ecIGLSw0SA7jUZD8tXfuXl+C2ET3sfI0rXufK7+TvzpDVi7+KNj7IhKXsLt2JNoaRvg13culi7B7P9mMsOe+w2xpHl3SUlX9uJjUcb3y1c0q31bY2lp+LeMK9A8hBtJgXanqW8Vcwd/uk/5mIRLOzj+0zMYmjuBCMSqSkqL7qBjYE6v6cvQN66uqX3t8Pc4B7vWq0QCOAcNQUvPhKjD3yPV0sU5aAiWziFItXRRKirIS40mK/YgyooiPv14CfPnz6agoDovnK2tHYcOHuGVV1/m2MbncQgagYN/f7TqUShL8lJJjviDjLiTeHV7BJfgoS2uCSzTMcC/zyziTm/Eyq1zvUqvWCzB1jMcW89wKkvzKcq+RWF2AmUFGeSlRODkYMMbzy8kKCgEd3ePNqm4ISDwT0ckEtGzZ2969uxNUVEhAYE++PeZ2WbyvbtN5cjquVSU3EHXsOFAE9fQEVg4dSD62CpuXdiGnU8vTO28MTR3RCyRUVVeRFFuIsVpEeRn3mT27Hm8/NKraN8TODh69DiMjIyYM3cWqWYO2PgOwtYzDLGk2iVFUVlKWsxxkiOr3YC6TV7c4A2oo38/bpzegEe3GRiY2VevpfcsYo+tIurQMnT1W6GUCUeKQCMIiqRAu+Pq6kblvpONtjEwsydo0NP49ppBdsIFYo79wDNPL+SnjVvoOnnp/w5UeRkZcSfp+eiXjcqz9QzDxr0zOUmXSY7cz81zW1BUlqKlrUNgh2CWvP82Q4YMR1e37u2BqakZq1au4dixI0yf8Rhxp375f1O5M2KpjKqKEopzElFWVeAY0I+ej35xX3V3bTzDiTmxjoLMG01GjesYmKFj0KXm9rKqspRzv76IlpZ2ze2GgMDDxm+/bcbKuUOb1b+G/zfpeoaTGn0Yr/ApjbY1tHAifOIiSvJSyYj7k/TYE5QVpKNWqxCJJBgbavPqS68wevQ4DAzqt3IMHDiIrMx0Vq5cy8uvvkLkgWXIdAxBo0YhL8PCOQj/PjP/38rS8AerVEsXB7++pETuw7/v7OpnMh0CBj5FVdkdRg/uyYaNGyjKScS0gaDAv1Kel4x7l67Naivw8CEokgLtzqhRY3jjzdcoK8xE38S20bZaOgZUFGUwbtxkzp4/j13AsBolEiA/PQZDC2f0TWyaHFcklmDt/j+lKy/tOhkXf+T3PX80a97l5eWYWNgTPOodinISKc1PQ61SItPWwyt8MobmTs02DTWGWCzBKXAQqVGHWpx+SEvHAN++C3jhpYX06NETU9OWl1oTEPi3c/T4cUwcQ9tcrrVb55pbwOZgaO6Id/dHaj3LS7tOztUNTJs2vcn+urq6hISEYmBoQqcJS1BUliASSdDSM0Kmrd/sedh4dCX2z59qPROJxDh0GM7Bw9uZOXMWu48dapYiWVVRQkb8Gab+tKzZ4ws8XAhR2wLtjqGhERMnTiHh7IY6UZZ/pawwi7ToQ8ydM5dbt27WUawUlaVo65m0ah7a+iYUFxc2u/3Zc2cwtu+ATFsfC8dAXIKG4hY6Ekf//hhbubWJEnkXS5cQ8tNjW9fXORhja2/Wr/+5zeYjIPBv4lpkJCbW7m0u19janaKchCbPrcYQi6Uolc0vO1hUVIi2riHaesYYmDmgb2rbIiUSql1mFPWkFDK18yUl+RYzHp9JZvwZinISm5SVcGEzvXr1rZPzVkDgLoIiKfBAePed99BRFxBz9PsGq8+U5KVyZdd7PPfsQgIDg9CSaaFUVNZqIxJLUauVrZqDWqVEJtVqdvuLly5jaNn2f5zqw8jCmfLiHBTy1tXwtQsYwqrVq1CrhUAPgYeP3JzMNjVr30XXyAplVWWjeSubQiEva9CcXR9SqazVZ9xd1CplLUvOXVSKSmQyLeztHfjk46Vc2b2Igoy4+mWoVcSf+YXyzEi+/OLr+5qPwH8bwbQt8EAwNDRi754/mDn7CU6unYu9f3/MnUMRS7UozIwn59YpinKSePPNd1gw/2kABgwYyOnoU7XML3pGlpTcSUGjViFqZmlFlVKBsqqMgsx47Oztmz3nxISbhHZ4vGULbSUSmTb6JjaU5qc322/pXswdA7leUUFsbAz+/gHtMEMBgX8m1XWz1c0+D1qCSCRCJBK3OresWqWkIPMGHQMCm93HwsKCwjsZXD+2GqWiErFEhq6RJfY+vdE1NG+WjPKi7HotNxk3/qR37/4ATJ36KFpaWrzw4kKMrdyw8x+EnokNapWS/NuRZMQcxsXZid/2H8bKyqrZ8xd4+BAUSYEHhomJKdt/20l0dBSr16zi8OHvKCouQa1WYWhihY6uIStWrkAiljB79jzmzJ7LlsH9sPPth5GlS7UMW28kUm1ykq9i7dapwbFUSgWZN89Up8zJiEMs1UKtrMLAyISPP/mIx6c/ga1t4+UHKyvLkWjVn7OxPZDIdFH95Qa2uYhEIkxtPbl2LUJQJAUeKkQiEXr6hlRVFNfKw9oWKOTloFEjbSSlz18pvpNCSuR+Mm6cQlFZnXLt1nkRp0+fYtasWUydMq1eX+bi4mK+/fZLvvl2OVp6Jki19NA1tkatVFCSm8Lxc09h6RKCe8fRmDbhS50afQg7n161nlUU55IauZePf9mARqNh8+aNfLXsa8QSGeVF2UQf+QEAY2NjuoV34/M3N9KpUxchC4RAkwiKpMADJyAgEDtbOyoVKvz7z8fGvStiiRSNRs2d21F8/f1q9u3fh6WVNba29pzb+haWLqH49n4CHX1T7H17k3hlN1auHes95O7cjuLqH5+jZ2yNc9BQwsa/j0SmjUajpjDzJjsOHuS7b5cxe8583n/v/QbnKRZL4EGmWdU0/5a1PnSMnYi+Ht2GExIQ+Hfg7eNPUU5im5u3i3ISMDB3qtdM/FcKMm4Q++dPlOSl4ujfj26TF6NnbI1YIkOlqKQg8wZrf/2dj5d8xMhRY/now8WYmJgCkJGRzvgJY5GLjfHs+wymdr51zraqimJuRx/mws6P8Ok+DeegIfXOozQ/jYLMeAL6VicrVynkpN/4k/jT67EwM2XlqpUs//5bzl+KwKP74/iM6IhYLEGjVpGTfJWEs79gaGggKJECzUZQJAUeOKdOnWTFqpV0mbQEXUPLmucikRhL5yBMbb04teElDDLLsfcbg4FrCanRBzm6ei5SmQy1SomWtg5Jl3fh1mlMLdnZiZeI2PclQUOew+YvCb5FIjGmdt6Y2nnjFvYIm7cv4c6dXDZtrBukolKp0NXTp7IsHx2DBxMJXVlWgJauUav7S7X1KClpec1eAYF/O2FdOnPwQiy2nuFtKjc/PabJMoIAmTfPcu3gt3j3eBRHv351kpJLtXSxdA7G0jmYipJcLp7bxKDB/dn220709fUZNXoEOjbBBDVSUUtL1wiPzuOwcu3I+W3vIZbKcPTvX6uNRqPm1tmNuLm6cnbzy4jEEuQV5WjpGmLt3hVLl1CSirNJuvo7YomsOtfl/3+8isQSrN06YWrrze/b3qB7t62MHz+plTsn8DAhBNsIPHCWf78cx+ARtZTIe5Fq6eLb+wlKCzKw8eiKU+BAuk9dSsiwF5FKJOzcsZejh4+THbOPm2c3UllWQHLEH5za+DJX//gCbX0zCjPjqSjObXAOuobmdBzzHoePn+LzL/6Xk1Kj0bBhw88EhwZSXiGnKDuhzddfH5Wl+Sjl5fWWkWwuapVKqKkt8FAyadJUMuJOoFLI20ymRq0iNfowDn59G22XmxLBtYPf0XnMm7gEDW20sg2ArqEl/gOeQcsmlLHjRvPswmeQmLg3uyyrtq4xNh5hXD+2hmNrF3B606skXNyBvLyQGyd/RF9UzIH9hzly+AQyqQTf3jMYMO9HOgx8ElvPMNw6jqbfrBU4+PXh3G/vIC8vqiVfS9cQl44T+O775U1vkoAAgiIp8IBRKpUcPXIAe9/GD2crlxCqKkooK8ioeWbrGYZz6Fi++PIL3Nw8OHzoGMrcSI6unkPWzXO4dRpL1/Hv4d93FvLyIo7/9Ayxf/7SYOoOmY4BPn0W8Mknn6JQKMjPz2Pc+DEs+ngprt3n4Bw8gsKsW226/oYozL6FkZXrfZm2q0qycHVxabtJCQj8S/Dz88fby4fU6ENtJjPjximkMl3M7P0abFNVUcyVvZ8RMuyFRtv9FZFIhGfYVCSmHhw9egSP8EeaVCI1Gg2Jl3dzdO18FJWlhAx7gZBhL+DRZTwFmTc4smoOJWmX+G3rDgwMDPn+h+VYefbCLXRUHdkikQjPrhMxtfUhOaJuXl0bz27E34ghOzu72WsSeHgRFEmBB0plZQVqtapJE65ILEFL1xBlVXmt546Bgzh9+iSZmRlcuxZJZlYWYRM+IGziB9h5dcPU1gtL52CCBj1F3yeWk5N0mdiTDedXNLH1QqxtxG+/bWb4yKFklMjoOnkpFk5BWLt3JuvWuTa95WiIjLiTjQYPNYfSvCSCgxuu0ysg8F/mk48/IeHCZsqL7l/5kZcXEn10FX59ZjWq4KVeP4q5YwBWri1Phi4SifDqPh2NWoWyqukgu6Qru0mO+J2ej35O6PAXsXbrhImNJ9buXeg06jV6PLKU8soq9u//nbKyMrZv/w2noOGNynQNHcntqIN1PrYlUhnaOgaUlha3eF0CDx+CIinwQNHT00dXT5+ywoxG2ykVlVSW5qGtb1rruZaOAWbWzsTEXGfh888SOPj5Bm8CdAzM6Dr+XVKvH6H4Tkq9bUQiEVbe/Xj3/Q9Q6zni128Bkv/PNWlk4YyhuRMZ8adbsdLmU1lWQHbiJRwDBrRaRkVxLsV56QQFBbfdxAQE/kUEB4cyZ9Zcog98eV95H1VKBdEHv0JfT4fbV7ZTVphVbzuNRk1K5D5cgoe2eiyZtj52Pr25fe1Ao+0qS/O5cWYTXca9g4Fp/SnMjCxdCBn1Jm+/8waxsTFo6eg3WQHMxMYTRWVJneTlVRUlVFaUYm7ecI1xAYG7CME2Ag8UsVjMhAlTOBt9EJ+eTzTYLiPuT4ytPdA1rHuQqVRKLl++gEzfDEvn4EbH09E3xdG/PymR+wjsP7/eNvomtpSUlNJ58uw6tw8uIcOJP7MRO+8eNQpmW1FakEFKxB9kJVxAW8+Y3JRI7Lx71Di/t4TU6EOMGDEGQ8PWB+sICPzbef31t0hITOTS7kV0GPZKTS7F0oIM8lKjKMpOQF5eCICOgQXGVm6gUZOddImq8iL0Te2Ql2Th42rHT4f/4JtvvmL59y9g69EVW78BmNh4IZFW+yHnpkQiEksxd+xwX3N2DRnG2a3v4NXtkRrZf+V29CFs3Ls2qETexcjSFUunQA4c+B21qhlJzTVqNOq6OTjTYo7Qu3e/mqhyAYHGEG4kBR44C+Y/SUbMUe7cvlbv+9L8NOJOr8e909g678qLsinOSyfqeiyW7j2bNZ6DXx+ybl1opIUIma5xvU7ytp7h6BpaEH92c7PGai65yVc5vfFlNBoNgf3n49l1EomXdnJp12LUquaXUwOQlxWSFn2AeXPntekcBQT+bUgkElatXMPQft05s+F5bpzeyNmtb3Nq40vcSYlEz9gaW6/u2Hp2Q0vPiFsXthJ/bjOWLiF4hU9BW8+EwuxkJk6YgIGBAa+//haXLkYwcWg4t8+u4tDyR7iw+SUidn9A3PGVmDv43XeKHCNLV0RiMZWldxpsk51wAXu/Ps2SZ+nZi5OnziCViCnMutlo25ykyxiYOSDV0qt5VpSTSPLlHTz37MJmjScgINxICjxQCgryOXz4ICGhHbmwezGO/v1wCBiEvokt8vJCbkcdIuXaAby7Ta3X7yjpyk5Gjx5PekYm2oYmzRpTS88YZSOlByuKc9AzqT//nEgkosPApzj5y/NYOgdh4XR/tw9QbTqL2P81wUOfr+UXaefTi3Nb3yLl2kFcQxr3bbqLRqMh7sRKJoyfSFCQ4B8pICCVSnn33Q+4nXqbP0/txafn43Qe8yZSWe3iApnxZ8gQS+n96JfItKsVKUuXEGy9uvPKqy8yePBQTE3NsLa24eWXX+Pll1+jsLCA69ejKS4uZsvWX7mR2zZWCpm2AYrKhs8ohbwcbT3jZsnS1jUmt6SExx+fwW9/bCdo2Cv1KrtqtYqb57di49EVtbKKsuJsbp3ZRG5KBMHBIZw7dxoXFxesrRs3jwsICDeSAg8EjUbDsm++IijYj9Ub91AgccMxcAjZCRc4vekV9n0zmTMbn6c8/SLG5rbYeITV6q9SyLlxej0FyRd57dXXMTExprKsoFljV5UXItNpuNZtSuR+7Lwbvt3UNbIkeOhCLu9dSn56TPMW3Ai5yVfQMTCvE1wjkcrw6DKetOtHmpShUatQKatIurQDdVkG7737wX3PS0Dgv0BpaQmjx44gPq2IvjN/wLnD4DpKJFQHyrh1HFWjRN7FxMYDS6dAdu3aUaePiYkp3bv3ZOjQ4Xh7eYFa1SZz1qiViCUN3+vItPWRlxU2S5a8vBBjY2OeXPA06rIMoo8sr67Qcw9VFcVE7f8CmaaM9Oj97PtmMqc3vExp/m3cOo+jTM+XDbtO0KlzEO+8+xZqdf2ZLwQEQLiRFHhAfPvdMr79fgVhU5bW8vPx6z2DnKTLRB34kk0bt9CpUxfeeOs1Nv/8NOYOAeiaOiAvKyTr1lm0dAzR0dVnwMC+9OzZk9ybJ3ANGdGkaSkt5hjW7l3rfVeUk0hZURa2nt0alWHt1omgQU9xcedH+PaagWPAgFabtAqzbqLTQM1cfVO7OnndoDqYJi32OIVZNynKTqCyNO9/c7N15Jlnn6Znj+6MHz8RY2OTVs1LQODfjkajYfrjj1GkMCBo6LONptOSlxeib2Jb7zuZvhU5OY1Hf5uamqGsvHRf84Xqetzy8iJkOoYNtrF270Jq9OFmRYdnx58gxMee3n17UiFXokyN5vCKJ7D26IKekTUVRZnkJl9hyNARfPXFVlJTbzNs+CA8e8zE3rd3rXPNPTyP33YtQalUsvijj+97rQL/TQRFUqDdKSoqZOnSjwmb/Gm9zuJWrh3x6vEEb779JseOnOCTJUtJT0/j/MXLiGR6GJjZ033KJxhaOKHRaCjMvMHJ46soupNKbvIVrFw7Njh2ZWk+qdFH6TZlSZ13SkUlkQeWYeXasUEn93ux8QhDW9+MyAPLyIw/Q0D/eU1GRdYar6qCpEvbSb32B1ItXTTquiUR89KuY2juWPNzYfYtbp7bwp3b17D16oaNR1e8u09D39gGkUSKWllFSV4qKdm3uLZuK++9/w6jR4/j9dfewM6uccd8AYH/Gj/9vJbYm4l0mbS0yZyshuaO5KfH1OuukpN8lcpK90b7Dxw4hI8Wf4hP74r7qvGdlXABmY5BgxW0NBoNpXm3yU68QGl+GgZmDg3KKspOIDPhKiV3UvHrvwBzxw6IRCLKCrPIvHmG0rw0inOT8PcP4Ntl36Gjo8MHi97HIWgkDvX4YOoamhMy8i3W//wU8+ctwMnJudXrFPjvIpi2Bdqd337bgqVjAAZmDSs2dj69SE5JJirqGp98uoTouBR6PPYNIUMX4tl1IoYWTkC1z6KhpQtViiqs3Dpxdd+X3LkdVa/MipJczm97D6cOg2spZ1Cd3iJiz4fIkLcof6OprRc9p32OkZUrJ39ZyIWdH5KdeKnBdCNqtYqi7ATiTqzm+No5WOsUcOrPczjY23Hr/BY099TyLi/KJv7sZpyDhqBSKog7tZ7zv72Lmb0f/eesJnjwszj698fIwhmJTBuxWIJUSxdTWy9cgocRNPw1uk37kss3i+jeoysbNvxcS76AwH+ZsrIyPvjgPXz6PtmsD0OX4GEkXf2d4tykWs9TIvdTVVnK1m2/oVI1bLp2c3MntGNn0mKP13quUavISrjA1X1fcX77B5zZ/CYXd37E9eNr6k1Dlnn9ADKRgqTLO+sd5+a5zZTkpeEVPpXz296nJC+13nZFOYlc2Pkh1h5hKJQqjKzca24X9U1s8Og8juAhz9LzsWXkloh4+dUXycrK5NSpEzh3qL9uN4C2vgl23j346ed1DbYReLgRbiQF2p3rMTHoW3s32kYilWFh70109DVWrVpBp/Ef1uvXBJB2/SjaeiaEDn+Z7IQLXN7zMcbW7jgGDEDXyApFZSlpMcfITriAjUcY3t2m1vQtzU8nLfoA6THHGDt2PLq6OvwZndai9Uhk2vj2nI5H53GkxRznxukNlOSlomdsja6hBQZGpqBRIS+9w52MRIxNzRgzegyzvj2Bu7snABvXb2L8hDGc//UixvZBKCsKSI8/i66uHlf/+BypTAd9Mwd6PvYlekZWzZ6bnpEVPr1nYu3ZnUVLPuHPU6f49pvlSKXCr7rAf5sdO37DyMoVU1uvZrU3sfHEr9cMTv/6OpYuIeib2JKXGkVlWQFdx7/H9YNfcOzYYQYMGNygjPlz5/P8K6/hHDgIhbyMlGsHuH3tIFItXRwD+qNjaIlEqoVSXkZRTgJnt7yFobkTLsFDsfUMpyS/+obw9737eGTaVKILUnEKGY2RRfXNn6KylIRLO+n12Jfom9gikelwauPLWLqE4ODbGy09E+Sl+aTFHufO7Wv4952NU8AALu5aTGrUIdw71818IZZI8e33JDt/WsDggYMwtXRES7dhszqAkY0P0dfv3z9c4L+J8NdFoN3R0pKhVjadIFilVBARcQVjK5c6N4h30Wg0pETux6dHdV1aG4+uWDivIT32JLejDlFVUYxEpoO5gz8eXSeSEXeSA99NQ6qtj7KqDJlUytSp05j99TE8Pb3YufM3Dhz/plnr0Gg0oPlfzjWZjgGuoSNwDR2BSiEn9fpR0iK28dQzTyCTybCxsSEwMBhLy7o1xR0dnThz+gKHDx8kIuIyhobGjBmzHCMjI4YOH4xcZktA/wWtLploaudN54kfc3rvYhY8NY8V369CLBYMEAL/XTZv3YqVZ58W9XEM6I+VW0cy4k4hryjCreNobDy6IpbIsPbqy9Zt2xpVJAcOHIyd9VKuHfia3NTrmNp5Ezx0IWb2ddMC2fv2xrvbNDLiT3Hz/FZuRx9BVZ7L8wtfws8vkOPHTvDd8mWsWfMOhhbOmDp1oij7Fmb2fjW+nK4hw7H36Ulq9BESL+9CIS9Hpq2PjWcYQYOfRev/gwpdQ0Zw7dB3uHUajUhU9/deW98EG/cuHD12BKWyqsl9UikVyISPUYEGEGkE29dDQ25uyd8y7h9/7OXlN96my+TPGgxQkZcXcWLdXHr27MONTCU+PR5FR79uMtyCjDiu/P45/Wb90CwlS6PRIC8vRCkvIy36KF42Gn5c+1PN+4qKMnz9POky6VMMTO3+0lfNnZRI0uNOUph1k9KCDNCokWrpYWTlirlDAE6BA2uSpkcfWsb4wV149ZU3WrI9tZgxczrRifkEDl5Y7x+AlqKQl3N5+9s8NXcGTz31XKtkSKViTE31KSgoQ6kUojfrQ9ijxmnv/dFoNLi5O9Jl0icNBtC0lLy062Re/IkL5xsPqDl58jiTp0zAr88snDs0rHTei0oh5/LvS1GVpHH5YgR6eno1e5SRcYdt237jxJ9/cuDAPvz6P92oH3h9aDQaTvz0DAH95mDhFFRvm5RrB9EujuR6dCRdJ33cqO9lxJ4PeXrWVGbOnNOiebQVlpaN35gK/L0IVxQC7c6gQUNAVU7mzbP1vs9NieDM5tdRq+FyZCyFWfEcW7uAS3s+oSAjrlbbssJMjKxcm31TJxKJ0NE3xcDMAXPnIJKTa/tDGRoaMmPGEyRf3FLreX56LCd+epboo6swMHOkw6CnGbzgZ4Y+s5le07/CNWQkFcU5HP/xaaKO/EBBZjzZCRd4fHrD1XqaYs+eXZw6cxbfvvPbRIkEkGnr4T/wOT5d+im3bjWenFhA4N+EWq3m2LEjPPnUfDp1CaG8vAw947bLeWho7kTq7cRG22RmZjB33mwC+89vthIJ1e4xnUe9jq6ZC/Pmz67ly6yrq8uUKdP4/rsfUMgrMbZuPOinPkQiEUaWrpQVNhx5LhZLiImNRalUEXfqlwb9qfPSrpOfcYNJk6a0eB4CDwfCXbVAuyOVSlm9ci1TH5lEVXkhjv79a6rIxP35CylRB/EKn4KDX9+anG5VFcXcjjrMhZ0f4dvrcZz+vw61WqVsdalCiVSGXC6v83zxR4vY4uVL5s2z2HiEcevCbyRe3o1f7xk4+PWto9TpyazQM7LC1jMM356PE310Jee3vcvc2bOxsWndbYhcLuflV17Et8+COnnt7hdDCydcQkfz0isvsnP77jaVLSDwoNFoNGzZsoklnyyhQq7C2rsvloETyMz89r6rzNyLRKqFSqVErVY36BbyzbdfY+wYgoN/vxbLF4klBA56ntO/PM2lSxcIDw+v9V6j0VClkCOWNB041ND81Y2YrUvyUrD27IF7p7Gc/vVVruxdim/vGTU+2WqVgowbp4g/9SPffvM9BgbCraBA/QiKpMADITy8O9u37eKtd97m+NpfsbD3orQgh7LSQno++nmdgBItXSM8uozDyjWUs1vfRtfQAkvnYKTa+vXmWWwKjUZNWWEOurq6yOVytLX/Vw7R2NiYtavXMGXqZLITLpKfEVvvnOpDW9+EjiNfIenqXjZu2sT06TNxc2v5DcLvv+9GS98CS5f2qU7jHDyc42vnkJBwsybgR0Dg30ZWVibPPPsU167H4dnjCSxdQhCJxCjkZaiUctQqRasVr7+ikJehra2LWCymtLSUvXt3cfrMGSIiIykpLkIskZCVmU73Rz5r9RgSmTZ2fgNYuWplLUVSo9GQl5eHnp4BVRXFyLT1WyxbXlGETKf+ftU+3ccIn7gIHQNTej36BdHHVnN83ZOY2bihq29EQVYizs7O/LTuZ3r37tvqNQr89xFM2wIPjNDQTvyxdx9HDh3jnZefQUwVwUOfb1RhM7J0wbfndG6e3wqAuYM/hVk3qSzNb9aYxbnJRB3+gf3fPsK1g8uIi43G0dGSwUMHsXPnNqqqqr/Ye/ToxUsvvkzWzbOET/igRZHSUO3cbuM3iNlzZzaaMqQhVqxciY3fwBb3ay5SLV0cfPuwdt2adhtDQKA9uXXrJv0G9Ca9VI+wKZ9j5dqxxlog09ZHx8CswdQ4raEoJxF3Tx/eefctAgK9+eTrlVxLF2PiNx73vs+hY9MRQ0u3BgMDm4tDwED279/LnTu5FBUVsWLF93TuEkqHIB8USjUZcadaLLOqooS81GjMHQPrfX/r4nYMLZwwsnQBqgMHQ4YuJGzCB5Tmp/H6wvns3rmHY0dOCEqkQJMIiqTAA8fDwxNjY2M0IimWzvU7gt+LvU8vSu7cpuTObbT1jLF268ztawca7VNVUcz5be9xduvbSLV06fXYlwxbuI0hz2xh6DObUVt04e1Fn+Dr58XevXtRqVSsXbeOgAHz0TWqG2XdHNw6jyenoIK161a3qF95eTnXrl2uUxayrbFw68qRo0fbdQwBgfYgLS2VUaOHY+M/HJ9eM2tcY+7F1NabO7evtdmYBWlR3E5JYu+R83SZ9DEho9/FvfNYLJ2DMLZyoyAzDpeghvMvNhcdAzOsXUN49dWXsbWzZ/m6rViHTGXwU5voOOp1bkcfRNPCUoyp149g7hhYEwh4F7VKQfy5zdyOOkTwkLrBd2b2fpjauKNSKQkIqF8JFRD4K4JpW+Bv4erVy5g6BjcrqEQi08bMzofkiD/Q0tYhL+UyucmXcfDvh56xdZ32lWUFnN38JhbOHeg0+o06PpUSmTaO/v1w9O9HbvJVpkx9lMcefZRKZbXS2lrEYgmuXabw3fJvmTVzTrPT7Vy/HoWJud19VcdoDsZWblxMvkVFRQW6uu07loBAW6FWq5k7fw5mbt1xCRnZYDsH//5cP7oKt46j7jtYTaWQkxR5APdOY/AMm1yv76W8rAD9v2R6aC1SPUt+37ePsIkf1dwSQrViJ9XSI+XaAVyChzVLlryskKTLO1Ap5MQeW4mRrQ8ikZji3GRSow+jZ2xN9ylLGrS6GNl14OKlS0ye/EhbLE3gIUC4kRT4W1AoFIhEzf+OEUvESMqT6BFoxcEDR3l+4Qtc3b2I8qLaUYkqpYKLOz/E2r0TAf3mNRmYY+kSQujod1iz7kesvfvft7O+hVMHyisVXLp0sdl94uJiMbRwua9xm4NMWx8jEytu3Ypv97EEBNqKdT+uJjk1C4+wxqOGLZ2DEInFpMUcu+8xEy7vQt/EBq/wKQ2eCcqqCiQNFE1oKVItPaw9wmspkVAdfR0y9HlunNlEetzJJuXIywq5uudDHps2jVN/nmNQuAdVqceJO/kjCnkpnce8Rfepn9T7AX4XsURW4/IjINAchBtJgb8FW1s75CXNO/A1Gg3Ksjt8+NnHNcmBfXx8EYlEfPvdqzgEDMIhYBC6hhZk3TwDiPHtNaPZSqGxtTsiiRQzB7/WLqcGkUiMqa0PERGX6dKla7P6lJaWIpY9mBtCLR19ysrKHshYAgL3i1wuZ8mSjwgc9nqTQTQikZgOA5/i4q7FWDh1QNewdS4qxbnJJFzcRs9pXzTaTqql22Bp1JaiqCpDx8C83ndGli50Gfs2F3d9xJ2USFxChmNs5Va7v7yM9Jjj3I7YzcTx41j0wWLEYjHvv/chUVHXGDN+DP595yD+/7RpSkUlqqpKpNr6dcpJyoszcOza/LKxAgKCIinwtzBy5GjefOs1yotzmgxsKcy6iUpeQu/e/0uxIRKJePGFl+nfrz8rVq7g91+exczWnYI7GXh3f7RFpi2VQk5VeRGG5k6tXs+9aJs4EBMb13TD/0ciEYPmwSSxVqtVNX9MBAT+6ezZsxM9Y5tmlz00s/fFJXgY57e9T9iED9AxMGvReKUFGZz77R18ekzHwMy+0ba6hhaU5qc1e26Njpufjo17wx+eprZe9Jz2BSmRf3B+2/voGVtjaOGEWCJFpCwnM/EyXbqE8eby7+jff1CtvgEBgVhZWpJ96wJqtZKUyH3kp8cilsrQqFXYuHfFOXgoFo6B1QrpjdNMWtX6SHSBhw/BtC3wt2BiYsrYsRO5dWZ9g4lwodo5/MapH5k5cxYyWd0bieDgUL5fvoKIiOs8NfsxNKoqbL26t2guarUSkUiMWNI231USqRaVlZXNbm9hYYmioqBNxm4MjUZDWXEeFhYWTTcWEPgH8PP69Vj7DGhRH6/wKVi5deLUplfITYlodr+M+NOc2fQyJtbuuIYMb7K9vV/fJoP+mkN5cQ75adex9erWaDtdQ3N8ejxG/zmrce80Bn1jG9JjjjF+SDh/njjDtq076iiRUP3RPeuJmUQf+Z6EC9twDBjA0Gd+ZdizWxgwdy3GNh5c/eNLYk6s49a5XwkP746zs8t9r0vg4UG4kRT42/hw0UcEBvlzdd+XBPSbW1Mn9i6VZQVEHviGopwU/Hz9G5VlZmaOubk5Vk7+LU5YLpFqg0iEorIU2V/m0BoUFSWYmTb/JiQoKJj8zFtoNJo2Taj8VyqKc0CjxsXFtd3GEBBoKzQaDVHXIugyaWqL+olEIvx6zcDUxouIfV9haueDS/BwzB0D6vx+adQqcpKvkH7tD1TlOUjE4Nd3drPGsfXsRszxtRTlJNYxNbeElGsHsPPuUef8awiJVFajdJbn3sDPz7/J3+kjR49iYutF6IhXa5mytfWM8eg8Dge/vpzd/AZidSU7T19o9VoEHk4ERVLgb+PWrZuIxGI0KgVHVs3Gzqs7xjYeoNGQnx5DduIl7H16YesZztffLGPEiFGNyistLUUibbnzu1gixdDciaKcJCycmpfyQqPRUF6UTVH2LUrz01ApFUikWhiaO1KaG09Q0Lxmj29uboFKqaC8MAt907apE1wfBZnx+PoFNjuaXEDg7yQlJRm1RtNoYEhj2Hp1w9wxkNTow1w79C1VlSUYW7mja2iBRqOhojibopwkJFIZkydMYO7cBQwc3K/ZtbolUhmOAQNIvLSLkGHPt2qOispSUqMO0XXcu63qL5bpUFpa2mibq1cvc/7CeXo+/n0df8i76Oib0mn0G1zY+jr6+i1Pfi7wcCMokgJ/G7+s/xl7v4F4dXuE8uIcUqOPUJAeB/9fJ9a/z2y09U1QKas4vuaXJquy6OsboKhqXSCJuYM/WQnnm1Qk1SoFaTHHSY7cR0VRNsbWHhhaOCGR6VBVWUJyxB8UZMXz7fLvEIvFjB07Aam09q+ZXC5n795d7Nqzm8jICHKyMpDItLkddRDfXo+3av7NISf+GM/Pbz/5AgJtSVZWFoYmVvd1S6+la4h757G4dRpDRUkuRdkJyMsKQCTCzqsbxtYeJJz9mQ4dgsjPz8PYzLZF/tVuHUdxauPLJF3Zi2voiBbNTa1ScGHnh5ja+baqnjaAorIMPb3GFb9Vq1dh5z+g3tyb92Jo7oiZnRfbtm3h8cdntmo+Ag8ngiIp8LeRlJyCgXkoAHpGVnh3q9+EJZFqYWJhT1paWr2KZGlpKdu2beHrb74mKysLlbKqxeZtpw6DOb3pFXy6T2swn2NRdgIRB5Yhleng2WUC1u5d6vWrVCkVZN08w/uLl/L9iu/5YflKvLy8KS8v56uvPmftj2vQM7bBwr0H7r2fIdjCmdK8VM5v/wCvblNbXUu8MUrz0ynIvMm4cRPbXLaAQHugVqsQtdHtuUgkQs/Iqt7APpFIglKp/H/XkpaNp61nTNdx73Bmy5uo1UrcOo5uluKrkJcTtf8zkOdj3kKf7ruoFHKybsfw5tuvk5GRztSp0zAxMa3T7tLlS9h1aZ5iaGwfzIWLFwVFUqBFCDYugQeOXC7n2rUIKivKqSzNa1YfpaJ2fey7/PnnCYKC/fhqxc/YBE/G0NyJzPgzLZ6TnpEVIkTEn/6l3vcZN05x7rd3cO4wmG5TlmDr1a3B4ByJVIa9b286TfwYtUkHBg3ux3ffLaNHz3B+++MkQSPeotP4xbgED8PExhOJVAtja3eMrFxqSkG2JRqNhpun1jJz5hwMDO7fB1RA4EFgYGBAVWX7p6pSKcoxMDDA3NyCsuLmnUf3YmDmQPfJH5Ny7QDnt71H1q3zDVaiqaooIfHyLs7/+iKdAt344rMvyI470mjAYUNkxJ/C2MoN125zWLNpD0FBfuzZs7NOO6VSiVjcvDsjsURKekY6kZFXUasfTCYJgX8/wo2kwAOjqKiQr5d9yc+//IRYqoMGESUFV7hzOwr3zmMxd6g/oKa0IIO87NuMGz8KM3NLJk2YyIwZs4iLi2HOvNkEDHwWa7fOQLXCmXx1L/a+vVp0u5AedxJvbx9Sk86RYe+P3T23BNmJF4k6soIuY9/B1M672TLFYgluncZiZOXGoo8+wC105P+nJqr/xqLDgCf5c/0L2Hh0xcTao9njNEVa9GGkykJeefm1NpMpINDeeHh4UVyQjbKqol2rPhXlJOPr64eHhydVlWVUlua3OG2QvqktvR79gvTYE9w4vYHrx1Zj79cHXUMLJFJtFPIyyvOSyYg/TY8evXl3+XL69OmHWq3m1ddfJS/1GhZOTZeLvYtGoyY54g/cO43F0iUES5cQ8jPieHbhcxQVF/PotOmoVCri429gZmZGcW4SJjZNnymFWTdJTr/OhEmT0NXVYs7sOcyZPR8dnbZJvC7w30Skac2nkMC/ktzckr9x7FxGjByKUtsSl47ja6IcFfIyUq8f5ea5Lfj3mYWDX586fSMPfotKqcC/zxOUF+WQGXuEtNiT1VUfRrxey69RpVRw5tdXMXfsgG+vx5tlZirKSeTyjvfYsH4TWlpaTJ4yAbeu03AMHEhVeREnfn6WkGEvNqsueENkxJ8h5vgaej++DJl2wz5Nt6MOEX9uM90nL2l1ze97yUu7TuTvH7N92y5CQ1uXZFgqFWNqqk9BQRlKpXBLUR/CHjVOa/ena3hnrEMfxcKxfeo+V1UUc3TVLJKTM9HS0mLMuFGUaPvgfB81tDUaDQUZsaTH/UnmjZOEhHTEztYWD3c3HnnkMeztHWq137xlE2+89RZdJi5uVhJ1jUZD7MmfyEu9Rvepn9RK1F6cm8TF7e8ydvRoDh05QqW8CjQiNBJt+sz4tlG5CnkZR1bNptdjX6FrZEVeajQpl7diZ67H1i3b/1ZrhqWl4d82tkDTCDeSAg+EOXNnITH1wq/XrFrKnUxbH7fQkZjb+3Hut3cxsnLFyMIZqD4wb13YRm7yVXo8shRtPRO09UwwtfWipDAXU1vvOsExEqmMzmPe4syWN1Epq/DrPaNRn8PclEiiD37J0k+X0r17TwB27tjDEzNnkJdykSqFCjvvHvelRALYeXUj6+ZZ4k6tJ7B/wxHdToEDqSzL58yWN+gy9h0MzR1bPWZO0mWiD37ND9+varUSKSDwdzJ40CAOnTvTbopkxo1ThHfvhZZW9RkxZ9YcXn7jbZw6DGp1vW6RSISZvR+l+emYywrZs2tvo+0nT5pKUlISq9e9RfDw1+uUSbwXtUpBzIkfyUm6TLfJi+tU+zGydMWz22Ns372RkGEvYWbvh0at5Ni6J0mO+KPBet0ajZrrx9dg4RRUEyVv4RSImYMf0Qe+5OlnnuTHdT+3bCMEHhoEH0mBdicuLpaIiCt4dnuswRtCY2t3HAP6//8heYWEy7s4/uPTpMedIHzSh7VMTZWl+eSnx+AcNLheWToGZnSf8jFlBekcWTWb2D9/pqwwq8YPSaWQkxZzjIu/vc6No8vYtOFnpk6dVtO/Q4dgTv15lqG9O5GXGoVXeMvy2DWEb6/ppMUco6qi8Zthr7DJuHUczelfXyXx8q4G/a0aQllVQezxVcQd+461a35kyJD6/3gICPzTeWLGLNLiTqKQl7e5bI1GQ2bMQebP/d+H3eDBQzHW12oy0bhapSDjximijqzgyu+fc+X3z4k68gPpsSdQKRXVvpAXfuWVl15u1lxee/UN3nrtVS5ue5PI35eQk3QZzT3VripK7nDj9EaOrJ5LyZ0Uuk/9uEHzu71PL1RKBTJtfUQiEWJJ9cd1/LnNxP75C/LywlrtS/PTuLL3M4pzkgga9HStd2KxBN9+T3L06CGSkhKbtRaBhw/BtP0Q8XeZthcteo8/zsTj27vxRL+lBRn8+fNzGBibgtQQ7+7TsHQJrnMzEH9uM2X5Gc3K3Vacm0Ry5H7SY0+gVikRS6SoFJVItXT5aNFHTJ/+ODY2ZvWa3D7+5CN2HLqM/4CnG5Deci7uWoK5YwBuoSObnvudFCIPLEOtUuISPAx7n16N+opVlhWQFn2Y9OsH6BYWxheff42l5f2bxwWzbdMIe9Q497M/j0ybQkqRNt492jZ1VVrMMfJj93L+3CUkkv+VDY2MvMqoMSPoPP7DGuvIXSpK7nD72gFuRx1Cx9ASG48uaOkaASIUlSVkJ1ygrDATHT1jeoZ1ZF0LbvGkUjEikYJly75j0UcfoVYpkekYoFYqUKmqsPPugUvQUExsGk6BdpeYEz+iUlYS2H9+zbOywkxunN5IVsJ5TG080dY3pqwwh7LCDBz9+uHdSMaK2GMrGNLdm3ff+aDZ62lLBNP2PxvBtC3Q7mRmZ6Nt2Hg9bQB9Y2tUKgUKeQVhYxc1mIi4MPMm9r69mjW2kaUrHQYsILDfXBTyctQqBTIdAyL3LMLR0bHeSPC7nDj5J2bOPZs1TnOxcu1IbsrVZimSRhbOdJ/6KdkJF0m5to+YE+swtnLHxMYdPWMbxBIZKoWciqI0yu8kUZB7m0GDhvHpzxvo2jWsXavkCAg8KD5b+jnde3TFyi2sRcFujVFZmk/8qR/ZvGlrLSUSICgohPff/YAPPvqA0FFvYWRZXTUmJ+kKV//4AhuPrnQe82a9Cp1Hl/EU5SSSfGUPx44fYf/+P1pkETAxMaF37758+c1yOk9YjEJehkSihZauUZN5IO/Fyq0jsSfW1Xqmb2JL6PAXqSjO4dT6hUgUJli5dMe9y4dIZY0H0xhae3M9JrbZ4ws8XAiKpEC7Y2xkhCLlTpPtqipKEIslVFSUIWnkYFPIy5Bpt8zxWySWoKX7v69ambY+hYVFpKQkc+ZMMrm5BejrG+LvH4ilpWW1Q3tMFGFBM1o0TlOYWLtz68JvzW4vFkuw9QzD1jOMipI8irJvUpidQEHmDeTlRZTmJrDw2ecICZlHSEhovXnkBAT+zdjZ2bNk8Se89e67dBr/Yb25IFuCsqqCq3uX4OXpybJvvqbqi8+xMDcjNCSY7t174efnz4wZs5DKZLz55uu4dhyLjrENUYeWEzr8RSxdQhqVb2zlRtCQ57iTGsX8J+fxxWdfNJi/taAgn+joKAoLC9HR0aJTp2AKCgrQ0TOs8QlvDVo6Bijk9adO0jWywszGFR2JElN7vyaVyGrat3yrwL8bQZEUaHdGDB/Bth2z8QqfgkgsqfNepVSQGX+K+HNbUKtVIBJxdPVc7H174xI8rI7zuUQqQ61S3NecKspLeenlhWg0IsxsXBFLtVBUlpKXmYSNrT3Tp0+nvKwEHQPz+xrnr+gYmiMvK2xVX11Dc3QNzbHxCAOqfbzObVxIWFg3unXr0YazFBD4ZzFlyjRup6ayas07hIx6CwMzh6Y71YO8vIjz295FWVlCiZ0/GhwR6UjJzS3iyq/7WbxkCe4eHrzx2hs8Om06XbuE8cTM6UScvUXXce82mKKsPiwcAwkZ+SbPv7gQe3tHunat/r0tLy9n69ZfWblqJUmJNzG3cUFL1xi1WkFhTgoqZRVaevf3QahSKhA3EGRYVVFMaVEuxjaWpEUfxtzBv8kiCMVZsfTq3T4BTwL/fgRFUqDd6datB6YmhtyOOohz0NBa76oqirmw40M0GjXe3aZi4xGGWCKjvCib21EHObvlLby7P1Ir2lBb34zSgvRWz0ejUVOUl4FPj5k4+PWt9aWtVinJS4vmp81/tFp+U7TVl71IJMLYxouIiKuCIinwn+eVl1/DyNCQJR+/hluXybiEDG9RZHVm/BmuHVqOlVtHggc/W+9HrY9SQcaNP5k9bw5DBw/hs6VfYG5hidQ2vEVK5F1Mbb3wCH+Ud957hwP7DnL27GnmPzkPkbYZdgGjGTgktFb9a41GQ15qFBd3LUalkLfInH0vZQXp6OjXDsaRlxcSe/InMuPPYGjhTDkmFN+5zeGVs3AOGoJX2KQ6UeAAVZWlpMed4vE1X7RqLgL/fQRFUqDdEYlErF39I6NGD0MpL8c5eBhSLV3UahUXdy7G0MKJDgMW1DrY9U1s8O05HUf/fpzd+jZaukbYeVcrSw5+fYg+shL3TmNalaLjTkokUpkODn596ih1YokUS+dgLJyCyPpuGhXFueib2NzfBtxDRfEdtPVN2kyenrkrFy9fbjN5AgL/ZObPf4pevfowb8Fczm86io3/IBx8+zQYJKJWKci6dZ6ESzuoKMkjdMRLWDoHNyhfIpXh6N8Pa7fOnDnyDcNHDuHWrZv0mTm/wT5N4eDbhxNrN/Dp0iUs/3453j1nYufTq94PSpFIhIVTB4yt3Mi8eQYHv76tGvN21EGcAgfV/FxZVsCZzW9g4RhInye+Q9fQouZdcW4y14+v4eKuJXQe/XotZVKlVBBzeBnDho3A0dGpVXMR+O8jKJICDwR//wD++P0gr7z2MsfXzsHaJZjK8mLk5YWET/6o3tsBqC4/FjToGaKPrsTWqxsikRhzB3+UikrupETW+CuplAry0qKpKi9CqqWDmb3f/0dT1iU5ch/OQUMaVUJFIhEmNh4U5SS0qSJZlJOAsbV7m8nTNbIiI/Vam8kTEPin4+fnz/GjJzl8+CA/rPyBIyt+xMzGBX1zVyQ6xohEIlRVpVTkp5CbfhONSIxzh6F4hU1q9g2flq4hQUNf4c9fnsXGs8d9VdaRyLSx8+3L18u+JnzS4kbzRN7FOWgoSVd2N6hIKqsqyEuNQiEvR6ZjgLljQI2vY3FuMsV3bmN7T3Wuawe/xdq1E/59Z9WRZWTpQtdx73Dut3e5dWEbXuFT0KhV5CRd5vaVHbg7W/PVl9+0bvECDwWCIvk3cPLkSb766isSEhIwMzNjypQpzJ07t1GT565du1i5ciWpqanY2toye/ZsJk6s34H7n4q3tw+7duwhIeEmZ86c5rvvv8Oq0xjEDSiRd7F0CQY0xJz8CS1tPbLijmGgKyXh3EaMrNxIurKnOh2HgRm6RpYoKsu4uu8rbD3D8QybXEsRvJMaRV5aNEGDn21yvuYOAWQnXKhVLvF+yU64iJVraJvJE4slVFVVtZk8AYF/AxKJhMGDhzJ48FDy8/O4di2Sa9ciuZN3B7VajamJO76+U1n88WKkVp1w6zS2xWOIJVKqKitwvOdmr7U4BAwk+drBZimRALaeYcScWEfGjVM1lhgAeVkh8ed+JT32JIbmjmjpGSMvKyBi35c4+PXFvcsE4k//jESkIWL3B5i5hqNWyslLu07o8JcaHE8skeHX+wnObnmL/OTzVJQWYmlpyfNPzeWxx55AJqtr8hYQuIugSD5grly5wpNPPsnQoUNZuHAhly9f5ssvv0StVrNgwYJ6++zbt49XX32V6dOn07NnTw4fPsxbb72FtrY2o0aNesAruH/c3T1xd/fk7XfeJLxPxybbi0Ti6lraBTF0DO/O5FfX0blzV6ZMncjJn5/F2NqTruPeqXXTV1GSR9LVPZz+9VXCxr+PkaULBZnxXN7zKSFDFqKl03TUt2PAAI6texJ5eRHaesb3tWaA8qJs8tOv18p/qVLIKSvKQqat16zyaH9FpawS6uAKPNSYmZnTp08/+vTpV+v5wYP7yCsoJWxI02dkZVkBVRXF6BlZ1dw+ajRq5BVF6Bnfv0VCz9gaZVUFKqWilk9kQ4glMjqOfIWLOxYh1dbHyiWE8qJszm59GwunIHpO+xx9U9ua9qX5adw8t5WTPz+Lh5sLJ6/FcejQfvYd2M/16GvYe3dr8lbVxMYTEwtbFj41n759++Ph4SlEags0C0GRfMB89913+Pj4sHTpUgB69eqFUqlk5cqVPPHEE/UqBV999RWDBw/mjTfeAKBnz54UFRXxzTff/CsVybuolErEzThUASRSLYaPHMWbb757zzMpFo6BBA97oY6ZWtfQHL9eM9A3sePCjg9wCR5BwsVtBPSfh7V7l2aNqWNghq1XN+JO/VKn4kNL0Wg0XD++FseAgci09dGoVcSf3UxyxB9ItHRQysswsnTFv+/smjrkzaE0P51gD4/7mpuAwH+RlatWYes/uEG3GahO0h19dBX56TFo6RqiqCzFwb8/vj2ng0YDGnWrA17uRSSWIhJLUCkqm6VIApjZ+RA6/CWu/P45LqHDybxxBkf//niFT67T1sDMgeChC4k5sRbktzE2NmbixClMnDiFN958lZPRhc0aU9/YGktLSzw9vVqyPIGHnIeqROLrr7/Otm3bGm3z7bff4ufn1y7jV1VVcf78eQYNqm0qGTx4MOXl5Vy6dKlOn7S0NJKTk+vtc/v2bZKSktplrg8Caxs7inNTmtVWXpSGk9P/qkwkJt7i7NnTBA58qlFfR+cOg9DWNyc97iRdxr6DvU/zEpnfxa/XDHKSLpOdcKFF/f5KeuxxSu4k4939EQCij60mNyWCbpMXM2DOagbO+xEbz3DO/fYuZQWZzZZbWZBEx9C2M5ULCPwXUKlUnD9/Gmv3rg22kZcXcnbLW5jYeDJg7lr6z15Fz0e/pKwgg6t/fIFYqoVILEXZBuUZ1coqNGoVUm29FvWzdAkhfPJH3Em5hlJRiWfYpAbbikQi/HrNID0zi/Pnz9U8NzE2RikvqvlZqagkLfYEN89vJeHSTvLSrteUj62qKMLIqH7fcgGBhnioFMkdO3bw1ltv8eGHH6JWN1ymq72qRqampqJQKHBxcan13Nm5WkFKTk6u0ychIQGgRX3+LTw+/XGyYg422a68KJvc1OuMHv0/P6effv4Re5/ezXKCd+88BgCJlg6KytIWzVFL14jgIQuJ2P81d1KjWtT3LtkJF7h+bDUhw15EKtOhoiSXtJhjdB7zJoYW1ZGQEpk2bqEjcfDrS+LlXc2Sq1aryEuLJTS0U6vmJSDwXyUxMQEtbT109E1QKipRKevmnU2JPICZvR/e3aYi+38FT9/Ehk4jXyU/I7Ym0K4o5/5rTBflJKJraNmkP/hfUVZVIKK6XrZbx9FNmppFYgm2fgNYvXZ1zbOhQ0eQHX8Ghbyc2JM/cWTlLFKjDiEvK6SsIIOIfV9x8ufnSLr6ByX5mYSHC6nEBFrGQ2fa1tbWZsOGDSQlJfHVV19haPjgangWFxcDYGBQ2z9PX18fgNLSukpOSUlJi/s0hFgsQiz+5/i8TJ8+nS+/+pzsxEtYu9WvDKnVKq4d/I6+ffphZva/JL1xN+IxtPZt1jimtt6UFaRxcceHVJYVoGtogYVzEM4dBjfLjGzpHETw0IVc3LUYz87jces8tll/EFRKBbfObyE5cj+dRr2OqW21uehOyjUsnDrU63fp4NubS3s+bta6shMuYm1tRXBwULv6Mkkk4lr/FaiLsEeN86D2R61Wc+LEcb5b/i3yqir++HoiGk31pYGOgTnG1u5YOgdj79ub3OQreHSdUHeuMm1sPcLJTb6Ko39/Uq7tx9I56L7mlRK5H8fAAc1qW1qQTkrkAXKTr1BWmIW2vgnKqgp8ez7WrP4mNl7cjN2OVFq91yEhwbh7uHN606voGJjSbcrHGJo71rTXqFVkJVwg8uC3dAvrgpFRy6qGCQg8dIrkE088QV5eHlu2bGHSpEn88MMPNbd77c3dW9CG/uiLxXUP2Yb63L01ra9PQ5iZ6f+jnKdNTfUZP24M6zcsxbvHozgFDKh1w1icm0zsyZ+QVxRx5epljIx0auriyqSSah+mZqFBLNWi/5xVqJRVlNxJIfPmWc5vew8TGy8CByxA17DxCjbWbp3x6DyerNgD5CWdxS5gGHbePer1n1JWVZAee4LEy7vQMbSg57TPatcNF4kanLtGo252bsysmAO888pzmJk9mIPfyKj1KVAeFoQ9apz23J9du3bx7HMvUFpRhZVnb0JHvIKxpStSbX00aiWl+ekUZSeQefMMcad+QUvXqEHrk0ajQiQS4RjQn/hzm6koyWvyjGgIeXkhWQnn6dtreaPtqiqKuX5sDdlJF3Hw7UuHgU9hZOWKVKbD8R9b5qMtkUgwNdWv+blbWBduZx+hy9i36yQdF4kl2HqGo29iy6Xtb5OZmdJu7l0C/00eOkVSIpHwwQcf4OLiwmeffcakSZP46quvCA8Pb/ex7/qe/PUWsaysuibqX28dG+tTXl7eYJ+GyM8v+0fdSCqVSn7fdwC/PrPIvHma+LObsHQKRiLTpqwgg9KCDJwCB9Ex7DUu/fYamzdvY+jQ4QD4+vpw63g0+PVpcpz8tBgMzas/FiRSreroRBtPvMImc+PMJk7+spDgIc81eCt6F42qivHjxhMeFsb3K1Zw+IeVWNi5oWfqBBIZGlUV5fkp3MlMwtHRBalURJdx7yD5y8Ft6RxM9NGVVJbmo2NQu/pE6vWjWLl1bnJNGTdOoSzPYdiwMRQU1F9Tt62QSMQYGelSXFyBStWwS8jDjLBHjdOe+1NaWsozzz7NsRMn8eo5i0D3znU+xkQSGUaWLhhZuuAY0J+ywkwu7PyIlMj92Pwl+E5ZVUHmzXOET1yElq4Rtp7h3LqwlcD+rUtKfuvCdqxcQ+v8rt9Lfnosl/d8gpVbZ/rPXoVMW7/We0NzJ/LSrmNi49nkeAUZsXTw8ak5F+RyORs3/UrQyLpK5L0YWbpg79efT5d+xZdffNnM1T0Y7lWKBf55PHSK5F1mzpyJs7MzL730EnPmzOGNN97gkUceQSptvy1xcnJCIpGQklI7wOTuzx71RN+6urrWtLn3K7GxPg2hVmtQq9vH/7M1REZGolSBU+BAnDsMorQgnfy0GFTKKqzdu2DlElpz42fh3oPde/YycGB1icXHHp3BDyvC8Oz2GLImUvkkR+7HucPgOs8lMm38es/AyjWUy3s+JWjIs3X+qNxLRV4ioSEDGDVqHKNGjSM3N5eoqAhu3LiBXF6Jrq4u3t6+dOgQhLGxCYMG9yf5ym7cO4+vJUfHwAznoCGc3/4BHQbMx8TWG6W8jKSI38m8eYaej3zW6Hrk5YXEnVjFLz+tR1tbF6XywSguKpX6gY31b0XYo8Zp6/0pKSlmzLjRFMp1CH/kyzoKWEPom9jSbfJiTv70LFFHV+AVNhltPROKc5OJProSK5fQmpyPPj0e48RPT2No7ohL8PAWzS81+jCpUQfp/XjDCb3z02O5uPNDAgc+2WDOWqcOg4k6/D1uHUc1arFQq5RkXD/M1+9sqdnnAwcOoGts3Sw3HvuAgWzZ/AqffLy0RdYugYebh1aRBOjfvz8bNmxg/vz5LFq0iMTEROzt7dttPG1tbTp16sShQ4eYNWtWjZn5wIEDGBkZ0aFDhzp9nJ2dcXR05MCBAwwd+r861QcOHMDFxaVd59velJWVoa1rWLMPBqb2GJjWvx4tXSOKi9NqfnZycmbgwCFEHvmOwCEvIpbU/0854dJO5GX52Hp1a3AeFk4d6DTqNS7tXoLRo1/UNkP/P5Wl+eSkXqdv3//5OVlaWtKv30D69RtYr9wfvl/JoMH9MDB3qs6DeQ++PaejrWfCpT2folJWolYqsXDuQLdJi9E1ajifpFJRycWdH6FSKrGwaHneSQGB/woajYbpMx6jWGlIhyHPNJrmpz60dY3oMe1zru77gsMrZyGR6SAWS3DuMKRWdLRGowaNmrSrO1BVlePWeXyT7icajYbkK7tIjdiNtrYMhbwMXer+vlZVFHN5zyeNKpEAFk6ByHQMiT35E769ZtTroqTRqIk7sRofH29CQv6XnzczMx19U4fmbAn6JnbIKyspLS3ByOj+c+cKPBw81IokgJ+fH1u3bmXBggVs2LABM7OGzQ9twYIFC3jiiSd47rnnGD9+PFevXmXNmjW89NJL6OjoUFpayq1bt3BycqqZy5NPPsnrr7+OiYkJ/fr14+jRo+zbt48vv/xnmR+ai0ajISoqkoSEWxTlZaKQlzV5k1BWmMHl25cYM24M/fr0Ztq06Xzz9beMGz+aM5vfwKfHY5g7BtQcsKX56SRe3klO0hXCJn6ARKrVqHxzxwBcgocTefBbwiZ8UOegTr6yi2HDRmFhYdGAhLp4enqx/pdNPPrYVNR95tdSZkUiMe6dxuAaOhJ5WT5SmW6TN6tVlaVc2vURukaWOPj2ZtqjUzn151n09FqWUkRA4L/ATz+vJe5mMl0mfdpiJfIuuobmdJv0EXGn15ObHEG3yR8hkdb2e065spNRo8by+mtvMHnqRM5uOImt30Ds/frVKWygkJeRHnOMzJhDGOrJOHjgCD//8iO/H99B4ODn+SvRx1Zj5da5yepZIpGYzqNf59xv71BRkotHlwk1N4wajYbCrJvcOLMRI2kFP2/aD8DJk8fZsHE9V69eoVJs2pj4GtQqJWq1Ci2t+8+dKfDwINK0V66bfyA+Pj48/fTTPP10XcfliooKXnzxRY4ePYpIJCI2Nrbd5nHo0CGWLVtGUlIS1tbWTJs2jZkzZwJw/vx5pk+fzpIlSxg3blxNn19//ZW1a9eSmZmJo6Mjc+fOZcyYMS0aNze3pC2X0WKUSiXr1q3mhxU/UFRSioGxJYUFd6iqKMYpcCDuncehrWdSp59apeTwypm4dx6HjoEZ+ckXyE68wmuvvYlCqeDbH9ZSVVWJSCRC19AShbyMiuKc6pJh/9+nOahVCo6tfZLgoQsxd/CveV6QEUfE3sWcPnUeO7uW3wCfO3eWxx5/BAuXznh2f7xVdXtzki5z7dByrFxDCeg/H5FITOTeJQzr15kPFy1psbyWIJWKMTXVp6CgTDDbNoCwR43T1vtTVFRIULA/oaPfxcTm/hPyq1VKTm16BdeQ4Tj69695npcaTfSBzzhz+gLW1jao1WqOHz/KilUrOHP6T6ydA5BqV2f+UMpLyb4dTdcu4cyfN4++fQcgkUgoKiokrFtnXLvNquU6U5qfzqlNL9frE9kQVZWlJFzcQWr0YbT0jNDWNaayrABlVTm6huaMHdaPmU/MZvqMRykoKsXGpz9iqTbxZzYycN66JpOrZ8SfJu3SRubNmUfnzl3o2jX8HxGgaWn54LKrCLSch0qRvHDhAvb29g2agzUaDStXriQ5OZklS9r3j/Pfwd+pSFZVVfHY9Glcv5mCS6dJWLoE15iHSu7cJuHSDvLSrhM+cVEd0/KN0xu5czuS7lM/qXlWmp/GlV2LEKHCp98zWDgGUJh1i6qKIiQyHUxsvZDKWl468NaF3yjOTa6pS1uan8alHe/yyeKPmTixbkWJ5nLnzh1efPl5Tp85i2PwaBz8+tbkrmsIjUZDQeYNkq7sIT89hsABC2r9IaoozuX0+ueIjIzB1LT9btIFJalphD1qnLbenxUrlrNy/U6Chr/WBrOrJiP+NAkXttFj2ueIRCKKc5O4vPMDln21jJEjR9dpn5p6mwsXzlFYWAiAiYkJnTp1wdnZpU7b48ePMmPm44SMfLMmDdj142vQqNUE9JvT4rmqlAoKs+JRysuQautjautNaUE6l7e/jUQiwSl0PM7Bw2rO2LNb38bWqxsuQUMblKnRqDm14WW0dA0wNLPlTvJVzM1M+OzTz+jZs3eL59iWCIrkP5uHSpF82Pk7FclXXn2JAycuEDzijQbNzPFnfyXjxil6Tf8asVhCeXEOty5sJzfpMt0m1/UdzE68zNXfP2Pw0xuanTKnKcqLsjm5/nkGLVhPZvxp4v9cw5uvv8ns2fPaRP5TT83jj4NHkVeUYOXWCRMbD4yt3NExMKsuoVZVSfGdFIqyE8hNiUBRWYJzh8E4Bw1FS7fuYXpt36fMmjKCBQvur4RjYwhKUtMIe9Q4bb0/4d26YBYwoclMCy1BrVJyZNVsuox7h+LsBG6e+YUPP1zMo9Omt4n8Xbu289zCZ3APewSnDoM5/uMzBA1+BjM7nzaRD3B87XzMHDvQYeCTtZ7nZ8RxccciOo58FQunur74Go2a6KOrKMi8QffJS5DItFGrVWTGn+bGidWsWb2W/v0H1en3oBAUyX82D72PpED7k5+fx6+b1tP9sWWN+ip6hk0mPfYE5ze/ikKhoKwoCzvvnnSf+km95mllVRlG1q5tpkQC6BpZASIubXsDsaqM9T9voHv3nm0mPzE5BZ+ej2Nk5UZO4iWKchJIjTqMvKIIjVqNRKqFobkjxtbu+PR4FEuXkEaTn5s5d+bw0aPtqkgKCPyTKC0tITn5Fl5DA9tUrlgixdTOh4jfP8XUWJ/ftm6nU6eGszi0lNGjx+Hi4sq8BXM5H3uU8qIsjC1d20w+gJG1R73BgmZ2PgQPfb4mxZBz0BCMLJxRqxTkJF0m6epe0GjoOvadGvO3WCzB3qcXWjqGzJ03m+ioG+jqCnlSBeoiKJIC7c7WrZuxcg1G17DxQBWRSIRbpzGUJR8jIz2L/rNX13sLd5eK4pya/JBthUgkQs/QnHHD+/Paa2+3aSCLRqMhNiaKsA6Po2dsjWvoiPuWaWztwbU9G9tgdgIC/w6io6Mxs3Rs0t+vNZjYeuFiJWPr5u1oa7e9/KCgEE4eP83Klcv59PMv2nwNhhbOVJbm1/vO2q0TvR//httRB7mydymVpXmIxBJ0DS3w7j4NW8/wevNMWrqEYGDmwK5d25kyZVqbzlfgv4GQKEqg3Ym7EYe+RdOJdKG6nGFRUSE6+oaNKpFQXT6xtdGaRTmJpEYfIfHybpIj/iDjximqKv6/HKWhEX369GvzaOjKykrKy0qaVKhbgq6hBQX5ue1WH15A4J9GXt6dZgfQtRQdfVN0dfXbRYm8i5aWFn369EdXt/p8UVZVkBl/huTIfSRe3s3t6MMUZMS16ndaJJag0agafK9jYIZX+BQGzF2DWCLF2NiUTqPfwN6nV6PJyi3ce/D7vn0tno/Aw4FwIynQ7ohEIjQ07RelrKogO/ES8opyKirLyUu7Xit6+q9o6RhScud2s+ehUlaRGX+a5Ih9lBdlY+bgh0zbAI1aSWVpHpEHv8XOqzulhbkYG5s0W25zuRv9qAHaMg7ynxBVKSDwoKj+937/H04Vxbnk3o6kKDuBkju3USkqUCrk6GnB559/SseOnejRo1e7FKkwNTWlrKSAqCMrSI89gZGlC7pGlkikWijkZcSf2YRMxwCXoKHY+/ZudqYHeXkhMu2mq50pFZWoVUrk8spmtZfpGFBaXNpkO4GHE0GRFGh3AvwDOH5+c4PvlYpK4v78hbSYYxhZumDm2gVVVQUXd36EkaUrvj2nY2rnXaefgbkjCRe3N2sOBZnxXNq9BH0TG1xDR2DjEY5EWvsLvKIkl5RrBykvK2HpZ5+yZvWP6Ou3XWkubW1tDAyNqSjOQd/E9r7lqVUK0uP+RFdPn+cWPoNKrcLWxoagDsF069YDc/PW1QYWEPgnY2lpSXlJXqv737kdRdLVPdy5fQ0Lpw6Y2Hhi5RKCVEsPjUZFeXEuvx26wpqf1oOqkpkzZzFn9rw2+7hUKBQs+fgjVGo1YomUHtM+w8DUrlYbtVpFTuIlUiL3EXdqPSHDX8TKJaRJ2QXpsbh2rBthfheNWkVO0mXiz21Bz8AElUpFWUF6k3XEywsz8HCwa7SNwMOLoEgKtDsTJkzivfffoawws44Cpayq4Nxv76BjYE7PRz+v9V6lkJMac5QLOz4gdPhLWN5zkGo0arLiTiAvL6KiJBddw4arvOSmRHJl71IC+s/F3qdXg+10DS3x6T4Nzy4TuH54GSNGDWP3zj0YGhq1eu1qtZrk5ERiY2OpqCjH1taerFvnmyx11hjKqgoSLu4gJeoAWjqGmLt0ITJdjEgs5WpiItv2HuZO+lyGDBnB66+9gZube6vnLyDwT8PfP5DCO+koqypalJO1qrKUmONryE2JwL3zWIIGP1snofi9aDQaCjLi+HX3XtasWc03y75lwIC6pVZbQlVVFVOmTiIhLY8Bc9Y0WIRALJZg49EVG4+u5CRf5ervnxM4YD523j0alK2sqqDkTgrysoJ635cX53Bxx4do0OASNBQjKzdSow+THPFHvZHcd9GoVWTEHOHTV39q2WIFHhqE9D8PEX9n+p8PFr3Hlh1/EDL6nVr5EyMPfouyqpzQ4S81qFjlJF/lyu+f0W/m98h0DMlLjeJ2xC4MpXK8vLyIz5XhGT613r7Fucmc3fIWIcNewMo1tNnz1WjURB9ahoOpiK2bt7XYvHXr1k1Wr1nJli2/otb8H3tnGR7VubXheybu7u5CFEIIwR2Kl+K0xUuh7tSFOm2p4E4LxSnFirsFQhKIQNzdXWZmfz/4SJvGQ6A9Zd9/ztXZr+19yJ5n3netZ4GhuSNKKupUV5ZRmJ2EgICVe1/sfEega9z2hKHCzNuEH/kOHWM7XIImoW/WtBlzdXkhqRGHSYs8yrtvv8/cufM7fAQuWtu0jviMWqazn0/f/r3RcnoMC5egNrUvK0jj6t6PMLbxxrP/nBYFZFPkJIRw+8wapk2dyscfLenQ35IgCDzz7DxCwuPwHfV2oxORlijKiiVk70cEjFmMkY1Xk22SI44gyb9OQkIc3sNexcTOt/5abVUpF7a9gZVHP1x7Tqlff01l8V0boqGLMHdu/CwFQSDu8i+oVCRy6sSZfyyMRrT/+Xcj7kiKPBTeefs90tPTObd7Mbb+47Fw7YW8rorMOxcYMGtFi7tzpvb+GFi4cXbjQqRKUvT19Jk3dx4zZ84hKSmB0WNHYeM9rMkA/Kgz63EJmtguEQl3S5J5DlzE9d2L2b9/LxMmTGq9E1BTU8NXX33OuvVrsPIYQLfxn6BtZNPgBSwIAhXFmaTePM7lHe9g3WUg7r2mt5rBeXdnYildBt7dWW3ppa6ubYhrrxmYu/bm6+++JiMjnQ8+aFz6UUTkf5E5s2azbPWWNgnJ8sIMLu96F9egydj7Pdah+cycAtEzd2H3/k+ora3hi8+/bvff0qVLFzh95ixBU79rl4gEMLBwxWvgfG6dWk2/p35oNHddTSVpYb+xesUKAObMnYWhlQfm7oPQMrQmMfQ3dE3sG4hIADVNfQLGvMX1/Z9TmHkHe78RaOqaAlCcHUdq2H4UFRkc/P2w+O4QaRZxR/IR4p8ukSgIAnv27GTl6lXExd5GqqyKlpE9PR7/oNW+eSnhpIds4vffDmJlZY1U+qfwXLz4DY6eD8N35JsNBGlZQRqXtr/FoPnrO1TlBiA9+jTkXObY0RN315GXR1lZKerq6pibWzRYR1FRIRMmPk5BuQKPAc826ef2d6rKCrh1YiVVZfkETfgQNS39JttVFGVxYdtrjY7420J1eSHX977LB++8zfQOmCuLu22tIz6jluns51NeXo6vnydew19vMSFPXlfDuZ9fxs53OI7dxtz3vDWVxVzb8w4fvL24/m9JEASuXw/hxInjXAsNJT09DUEQMDY2IaBrV/r06cOgQUOZNftpUsr1cer+eCuzNI2gkHNqwwL8hr3YaFcy+tQKPKw12bhhC3C3hOSOHb/y89ZfyM7Oory8jKAnPqmvqvN3ygszSAz9jfSYs6ipaaKkJEFFWZmnn57JswsWPdDKWW1B3JH8dyMKyUeIf1pI/pXU1BS++PJTIlLluPVq3ZusuryQiz8/T0pKVqNrlZWVDB02CIW2I259Z9f/co48vQ4J0GXA3A6vU1ZXzem1swkI6EF0dCTlZaWoaWhRV1uDVCrB29uPp558kqFDhzN+wjgqpSZ4DnimXbZEgiAQfWY9+Wm36DXli0ZxX4IgcHnnOxjb+uLas2NlGouyYgk/sKRD9cJFkdQ64jNqmQfxfHbv3sHb739A0NRvm/2hGHVmAxVFmXQf906n7ajd+1u6cP4KUVG3+OiTj8nJycXEKQgdEye09M0BCdUVhZTmJlCUGoogq6KkuID+s9egrmXQ4bnjQ/ZQkptIt1Gv13+WeG0PRQlnOHXyXJMJdgkJcQwZNph+cza0+gyyE65SGLWXbb/8io2NHSoq7ds5fVCIQvLfjegjKfKPYGtrh62NLQp5XZvay2W1KKs2XRVHU1OTfXt/h7J4bv2xlJrKEgAyos9g693xsl5lBWlc2fUeUhUtCqV2+Ix+n6GLttF/7gYGP/sLwdO+o9agG58u/RE/fy8Kymm3iIS7diae/eegZWBJzLnGAe0FaTepLi/AOXBCh+/FwMIVM5dglq/4qcNjiIj8m5gwYRJBgQFEHv22yfdIWUEa6VEn8RmysFOPZQ0sXLH0HMTosSN59rlF6DiPoPfMVXj0m4O1Z38MLN0xsHTDwqUnbr1m0GPKt7gOeB51HTNuHFxKVVl+h+e28RpMTsI1ZLVV1NVUEn1qJUUJZ9j/28FmXRrq6mQoKau16RmoqGkjlSrj6Oj8rxGRIv9+RCEp8o8RGNiDotQbbTLezU0MoVu37s1eNzEx4dgfJ+jd1YXL214iPmQ3dTXlaBm2b/ftHpl3LnBx+5tYuPZi4JxVOAWMQ8fIpl4kSiQSNHRNsPYcgEufudTWyekyeFGHDdIlEgnegxaQFX+ZoszbDa6lRBzFzncEUqX7C2m28X6Mbb/+Qk1NzX2NIyLyb0AikbBm1TpsTDQIP/AZ1X/LVk6J+APrLgMfiHm5fdexZGak03Xch1i69W6xjKlEIsHIugt9n1yGgYUrl3YsprI0t0PzqmnqoayqTuKN37ny68t4WGtw6uQ57O2bL7VoaWlJVUVxfcWb6vJCYq/s4Nr+zwnZt4RbJ1dTnB0PQElOAo6Ojh1am8ijiygkRf4x+vcfhIpUQV5yWIvtFPI6MqOOsWD+ghbbaWvrsOy7H9j2y3bMlLORSJVafME3R3ZCCLdOrqbH4x/iFDCuVXGYHH4IO98R912xRk1TDwf/kcRe2UltdTm1VWUU5ySQlxKOmdP91/zVMbZFVV2b6OjI+x5LROTfgLq6Oju372Zov+5c3vYyqZEnkMvqkMtqSY85jZ3P8Acyr5qmPuYuPcmJv9LmPlIlZTz6Po1Nl8Fc27cEuay2Y5NLJGhUxbFq+XI2btjSql+srq4ew4ePIu3mH9w8sZLTGxdSUZSJhUsQVh59UVHT4tpvS7jw65tkRB5h9sxZHVuXyCOLKCRF/jGKi4uQyeoIO/JdsxVqFHIZYYe/xdnRjv79B7Zp3KCgnvzy868ICnmbj87vUVNRzM1jP9Ft1GvNBqY3XN9dU3A7n44fof8VW++h5KdGcGL105xaO5uYY18hCPL/j7u6f/RMnbh5M6JTxhIR+TegpqbGV18uZevP25BnXeTcpvncOvYjquo6aHfwRKItmDkGUJAW1e5+LkGTUNc2JPZy80UaWkJJIrB+7UYGDWr7O2fRwoUk3DhARVEmA+eswn/Ey1h7DsDKvS/uvWcwaN5aTOz8qCwrwsmpaUsxEZHmEO1/RP4x3n5nMbqWPliYOHFpx2KsuwzE1nsoWvoWyOuqyYq7TFLYIeqqSxg9cFqDDOm/k5mZwfnzZyktLUFNTR0nJ2cMjEwozUtG37xtdb4BYs5vxsK1N8a2vq03BsryU1HV0G1ThnZbUNPUx8TCnjXLfyQ4uDdRUZE8PumJDpuX/x0lNV2Ki5s2LBYR+V8mOLg3p0+eJSIijI8/fh+5vPnj3s5Az8yJqNPrEAShXTGYEokEnyGLOLP5eRy7jm7WqaEpqkrzUMjrSE1N4dy5M1RWVqCrq0dgYFCLhQdCQ0PRM7IicPx7KCk3jjWXKqngFjwVCQpeeOl59u870OY1iYiIQlLkH6GgoIBDh/bT56nlqGsbYmzjRXLEH1zavpi6mnKQSDGy7oJr0CQ0dIzZvuML3nv3Q9TUGnotnjt3hpWrVnLhwlnM7LxRVtdFIa+lJCceWV0dqTePtFlI1lSWkBV3mQGzVrT5PkrzU9A16dwvLG0je6KjIwkO7o2KigpyWft2VVtCUNShotJ00pKIyH8BX19/XFzdyZU/WJcKLX0L6moqqKupaLfBuYauCWaO3UmNPI5Lj4lt7pd66yhq6prMnDMbQ0t3pMpqyGsryHnzNfy7BrBg/gKGD3+skW/tqtWrcAqa1qSI/CuOAY9zZsM8EhLicHJq+w9wkUcbUUiK/CMcOPAbZvZ+9YHw2obWeA2Yi9eAuchltUiVlBvswmnomHDmzCmGDRsB3C09+NFH7/PLr9uw8R1Nv1mrUdX40yJCEBRk3D7HzWPLce87u00v+uz4Kxjb+rQrOF9eV92gUk9nIFHRoLy8HLib3V5RVkRddXmz5dTaQ1VxOi4u4heEyH+bqqpqpK2IpvtFIpEiVVJB0cFYRyuPfsRd2dlmIamQ15EcfgTnHhNx6Dq6Qfy3R20VGTFneenV1xh48Hd+WPZTfdZ1REQYJWXleLfBf1ZZVQNLtz7s2rWDt956t0P3JfLoIQpJkX+EnJxsVHWajvtr8uhFzYC3Fr/Bb/t/Y9bM2Rw6fJCdvx2kx6SvmhR+EokUa4/+ZMVeIj5kD559n251TcXZcRhaebbrPqRKKshlnZsFXVtdyarVK1m7fh3KyspoaOpSmHkbM8eA+xpXVltFQVYCPj7tMzQXEflfQKFQEBJylRs3rnM15AoqZvf399IagiCgkMs67Kagb+5CaV5ym8dIjvgDLQNLnALGNbqmrKqBne9wLN16c+HQFzz/wiIWPruIjZvWc/HiRaRqem0Oj1HXNScjq7Ffr4hIc4hCUuQfQU1NDYW87b/k5Qo56qZ+RGXCxClPIJfJ6fvUD63uHnYZMJeLv76JtoEltt5DWmxbUZTZZL3ZltA2tCYxdH+7+rRGSV4ylp4jMHMIQKGQkXh9P8nhh+9bSGbcPkfXboGYmXVOPKeIyL8BmUzGho3rWLFyOVXVdehbdaFKMECpIO2BzltZkoOyijoq6h0zy1bT1ENJWYWayiI0dExabJuTeI24KzvoOXFJi+1U1LXxG/kWf2x9hUMHf8fObwSqFgEo4kPavC65rBaNTj5lEflvI2Zti/wjdO/eg8KUGwgKeattZbVVFGZEYec7FOegyehbdMGh27g2HUFr6poSOP49bl/4mbiru1qcT1DI220XpGvqQGVJNrVVpe3q1xyy2irKC9Ox6TIQHWNb9Ewd6TJwHsVZsRRl3rmvcVPDfuP5Rc91yjpFRP4NxMfHMWToIH5YtQGbHrMIfvInugxahGPAGErzkh/o3CW5CeiZOd6X2blEqoSgaL7SjyAIpNw8StiRZXQb9Sa6Jvatjqmiro1L0BQ0jexw7fUk9r4jKC/KqPeRbI3i1FCCgtr3g1rk0UYUkiIPFUEQuHHjOsnJSShJ5KRGnmy1T3r0afTNXdA2sKK6vJDc5BvYeg9u85x6po70mvolyeGHOL1hPgkhe6ipLG60LolUqb4qTltRVlHH1CGAtKhT7erXHBm3z2Fo6YGapn79Z6rq2nj0m0nEsR+R1Va1e0xBELhzfiNB3bsxePCwTlmniMg/TUREGMNHDEYw8Kb7hE8xsfOrP77VNXWksjSXypKcBzZ/XtINDCw9OtxfLqujrrqc0vyURkUZ6qrLSbpxkPObF3H7whZ6TvwEY1vvNo9t6dqL8sJ0SvOSUdXQxdw5iJSIP1rtV5wdR1lRJmVlZVy+fLFNxSJERMSjbZGHxoUL53hr8Vtk5WRjZOWBuoEdUafXknH7HH7Dnm/SQqcoK5Y7F7cRMHYxAIWZMRhYuDUQWm1BS98Cr4ELKLm9Hwe9Mk5uehYDU1tU1LRBkFNRWkBleSElufFYe/Zv19j2fiMJ/2MZdj7DGtXJbg/yuhoSr+/Ho+9Tja7ZdBlEfupNQvZ9Qvdx76CiptWmMQVBIP7yNmoLY/nu11OdWipOROSfIisrkycmjsep59NYNfH3qqyijqVbb1JvHcO995OdPn9tdTmZsRfp9/QPHR6jLD8FXT1D0q/9TNyFDWjrmaKkokpddQVFuakEBfVCw8mWah1f9EzbV21GSUUNU4duFKRFomtij3P3x7m0420MLN0wdejWZJ+qsgKu7f8cTW1DVmzeS1FWHDraGnzy0RIee2xUh+9T5L+PKCRFHgqnTh1n9pxZuPaZTZ/hveuDy71qKogP2cv5ra/S4/EP6q16qkrzSLl5lJSII3gPfhYj6y4A1FVXNMjObg9qmrooBIFNG7eQm5tLbOxtyspKMDLSQ0VFk9LSMuYtWIAgzG6Xb6OxrTcGlm5En9uEz+BnO7Q2gDuXfkVT3xwzpx6NrkkkEvyGvcDNEys49/PL+A5d1KrXZVVpHrdPr0JNUs6hA0cwNr6/yjsiIv8GBEHg+Reew9Slb5Mi8h72viO4uvcjHLuN6/A7ozmSww9hbOuDpq5ph8fIT7nBwEGDWbl8FTdvhlNUVICSkoCSkhr29k5YWVkzZtwYVDV1OzS+qoYOdTUVwN2qVl1Hvc6Ng19j7dkfO78RaBvcNWuvqy4nLeoU8SG7sfLoh2e/2UgkEgRBQU7idRY9v4gvy8uYNGlqh+9V5L+NKCRFHjh1dXUsXPQsXkNfbPRrWEVNC48+TwICV3a/j5q6NnKFQF1NOZZuvek56dMGcUFKyqodLi0ml9WirnF3x9DU1BRTU1OUlaUYGGhRVFRBXZ0cHW0NchOvt7skodfAZzj/yysk3vgdx65j2r221FvHyYg5Q+/pS5vdNZQqKeM37AUy71zgxuFv0dIzx7rLIAws3dA2sEIilVJdVkBxTgIFSZfJig9hzpz5vPXmO6irq7d7TSIi/0bOnDnFzcgoek5b1mI7PTMnzBy7E3V6Hf6Pvdxp85fmp5AYup/e077u8BgKhZzMqOMsXbwNqVSKn1/XBu8imexu3KSGhjrV9/O+0/7Td9fEzpfe074mKfwQF7a9jrKKBlKplJrKEtS1DfEb8TKmf7EIkkikmDsFoq5lyGuvv8KwYSPQ09Pv8D2L/HcRhaTIA+fIkYOoaBo2e6QC4NT9cdJv/UGfXoHEZMhx7/NUk/6M2obWFGfHdch2ozjrDq4tVH8AmDZlKj+uWIWRjXe7jqnVNPUIeuJjrux+n4qiLDz7zkRJRa3VfnJZHXFXtpMaeYKgCR+2qV63pVtvzJx6kBV3icw754k+uwF5XTUAGppauHt4M2X0EGZMX4+pacd3TERE/o2sXrMaS+8Rbfr78uw/m7ObXyA9+jTWngPue+66mkpuHPwa16DJ9Tt6HSHh2l6qKivY99teTE1NsbdvuqiBi7Mzx6/eaffaBUGgKPMOZn9752oZWOA1YC4evZ8k/toejCRZhIeHEvj4B2jpWzQ5lr65Mya23mzfvo1nnlnYrnWIPBqIQlLkgXPx4kX0bbq22EZVXRtTW0+sLK2IiL7YrMm3npkTaloG5CSEYOEaDEBtVSlpUafIvHOe2qpSlFTUMbHzw853eP3LXqGQk3jjIEmKOl586XnmzZ2Pl9efwesHD/7OJ0uWkJ2Ti7KaDuFHf6DbyNeQtCOLW9vQCluvwaTdOkJp5i1s/Mdh5danyS88uayWjJiz3Ln8K1KpEpauvZFI2/7nqKSsgrVHP6w9+nH7/CYG+lvy9tvvo6GhIcZBivxnqaqq4uzZEwyat6FN7VXUtAgYs5irez5EqqSCpVvvRm0qS3JIjzlDbWUJOsZ2WLn3bfJHZF1NBeEHP0NeU4KKhl6H76EkN5GE6/vwf+xlztwIZ/vAPqxds57hw0fUt4mJiWbtujXs2rWdOpkM115//rCuKs0j5dYxchJCkNVWoqKmhblzELbeQ+udLIqy7lBXXYZJMz/elVTUqCnJwC3QnYSUjGZF5D0MbLtx7vx5UUiKNImYtS3ywJHJ5W0SSRKpMn5+XakozqQkN7HpNhIJ9r4jSLxxAEFQkB5zlpPr5lOUeRvXnlPpPu5dfAY/i6BQcGHb60SeXoegkJMVexENHWN6zVhGaEI5o8eO5PkXFlFXV8enn33GwuefR8d1FH1mrSZ4yufUlBcSevBraqvL23SPCrmMuMu/UhB/hlMnTvPtV1+iWhzGqXWzCd//ITFnN3Dn4jaiz27g4va3OLbyKaLObkBD2xhbryEIgoJL29/i9oWf250pqWvmyo3wCDQ1NUURKfKfJjo6Ej1DC1Q12h43qG/uTOD494g8tYbos5uQ1/1ZQCDpxkHO/fwSVSW5qGkZkB13hVPrF1CcHddgjKLM24TsfIteAd7s3L6b+AsbyIq70u71l+YlE7L3Y7r0n4OZY3c8+s/De/hrzJ0/lz/+OIxcLue1119hxGNDuXqniOBp32Bk7UXqrWMIgkDc1V2c2fw8NeWFdOk/l+7j3sWj7ywqirM5vXEhiTd+RxAEEkP3Y+czrFk7s6qyfHKSbjBw4GCkbXg3S5WUkbdgUyTyaCMRxPz+R4a8vAdbe7Y5tmzZyLLVP+M3uvmSW/K6Gs5umMcfR45z5Mhh1m76hW7jP2qyLKC8roaLOxajqqFLaW4igePfa7Kedk1lMSH7PkFTz5z8lAi6jnodE7u7CSq11eXcPPwVhpoCGdm5dBv/cYOscVltFZGn1pCXEo57rxlYuvVucmdREBTkpUSQdPVXrEz1WLtmPXZ29vXX09PTCAu7QUxMFJWVldy4cZ3EnFoqirOw9RqMU/fx9W2rywu5tGMxHn2ert9tbQtlBWlEHv6UmKjYNvdpD03Fbok0RHxGLdNZz2fnzl/5evlmvEe80e6+VWX53Dy+gsqSHFyDJqGmZciNQ0sJnvJZg2Pq9JizxJzbxMA5q6kqyyMt4hA5cRf5dMnnTJkyHYlEwpUrl5k+YzJmLn1wDp6OskrLMciCoCAp7BCxl3/Fs++sRsUR8lNvcfPI1/Tr15fQW/H4jlyMmubdXc+SnASu7H4fM+cgijJi6DHhgyYdLsoLM7i650N0jO0oL0yj97SlTSYZyetqCD/4GcP69+C1V9+gW4A3fWeubNEJI+rEj4wfEsBbb77T4n0+KExMOjdZSqRzEYXkI8Q/JSTLy8vo4uVG9wmfoGvSdCxQcvhhVIojOPrHcRQKBXPmzuTUmbPomDihbWiNuUsQBhZugEBecjhxFzZSUpRD4Pj3MLZp3l+tprKEU+sX4BT4OK5/q2lbUZzN2c3P02fGt+gY2TTZPzfpBvEhuykrSMPIugt6po6oqGsjl9VSXZxGUUY02lrqvPDc8zz55CyUlFo+Cv/44/fZezKM4sw7DJi9olF2eFrUSdKjz9Bz4ictjvP3+7ix9x3iYpPa3Kc9iCKpdcRn1DKd9Xy2bfuZZWu34zXs1Q71FwSBrNiLJN44QHlBGk4B43AJmtSo3fmtryEV6qipKGTSpKm8/NIrWFhYNmiTk5PNiy+9QMi1ECy7DMbcpRc6htb14TCCIFBVmktOwjWSI46gpKKG37AXmjUVv31uExm3z9D36eWN7L3So89w8/hP9J+5vEkReY+ygjTO/fwymtp6uPebi5lTIFKpEiW5iWTFXqKsIJWyvES8Pd3Zu2c/KioqPD3zSRIK1XANntbkmFVleVz4+UWuXgnF0rLjcaH3gygk/92IMZIiDxxtbR0+/OBjPv3ic3xHvtXAE00QBDLvXCDh6q/s3L6HyspKXnr5BU6cOIaZUxCaBtbUVpVwff9nSKVSVFXV0NXRZNigPpy+GNaiiIS7STD2viOoLs1rdC3z9jnMnYOaFZEApg5dMXXoSnlhOoUZMZTmJVFelElxZhTDBvVnzudbCAgIbPORsq6uLnUVBeibuzRpMWRg4cadi9vaNNY96mrK0dRqm6+kiMj/Mrq6eshq2hZu0hQSiQRLt95YuvXm7JYXMbB0b7KdkZUH7ubw00+r0dZufCoCYGZmzvZfdxIWFsradWs5tPtdamqq6+MNqyuKEAQ5RtZedOk/GxN7/xZtxWx9R5DUjGl4RXEWFq69WxSRADpGNli7difAw5rIqAPcObsWuSClrrYSK4/+GFi4o66lT8TNS0x/ciprVq3lnbffZsRjQ1HV0MXOd0SDuPDyokxuHv6SZ5997h8TkSL/fkQhKfJQmDVrLhKJhI8+/gA9U0e0zdxRyGVkx12gqqwIhULGmDHDMTQyRU3fhn6z16D6l2Nt9z5PkRS6n4ybB/lt7++8/8H7GDs3DpxvCivPflzd82GDzxQKOSk3j9J11OttGkPb0BptQ+v6/864fZ47cafo3r2x52NLdOnihax6EzVV5Xer6fxNgJYVpLWp9ONfKc1NapA4JCLyX8XLy5uCrIQm/3bai6aeGeWF6Rjb+jS6VluWxaDpTzUrIv+Kv383vlnqyR9/HCJw/Pt3Q2AEBaqaemjqmbd5nZp6ZhhZdyE9+gwO/iMbXMtNvIZ7n8aFCprC1KUvyaln+X3/IfoP6I2OdQAuwTNQUlapb+PRbzY3j3xDYI8AysuKUQgCUWc2EHdlB8Z2/mgZWlGVn0BeWhQvvvgyr7zctvekyKOJKCRFHhozZ85h4sQp/P77Pn4/sJ+zZ09j6hRI4ONPoqlnRsrNYySFHSDwsTcavPQApFIlnLo/Tm1VCZ99/imlZWWoaret2oOqhi6ymsoGn5XlpyCRSP//uLz9WLgEcezYDxQWFmBoaNTmfj4+/pQWZqOspk1W3CUsXXvVX5PVVRN/dRe2Pu0rY1iSFcW4xwe2q4+IyP8idnb2qKupUZKTgL65c7v6KuR1lOanUJKTSE1FIVJlVeJD9mLp1rtB8k5BehQFGbcZO3Z8C6M1JD4+DmVVzXaVMWwKM8fuFKRHNRKSdbVVqKq37XhXVV2HvLIyfvxpGWpGzrj1mdlIzGbeuUBeegwO/qMJ8B6CurYhNZXFpEWeJCl0H3ZGMHbOFCZMmIiubscz1EUeDUQhKfJQ0dLSwtfXn8Vvv0mPJ5ZgYOFafy0j5ixOAeMbici/Yu8/mkM/P8+AgUMorChq05w15YWNknbqqstR1dTv8K6GVEkFDS1diouL2iwkk5OTWLhoAcqqGli4BHPr+Epyk0Ixte9KdUUhKRF/oGvigK1X2+uI11aVkh13lSeeWN2h+xAR+V9CIpEwY8aTHDx7tM1Csqosj+TwI6RFnkBZVQM9Uyc0dI1R1zJESUWNM5uew6HrGLQMLCjOjCL7znlWr1rXLgFVWlqCmub9x/Gp/KUaTYPP1bSpriiiLSuqrihCX1+fX7b+jO+odxu944oybxNzbjM9Jy5pEK+ppqmPc+AEzJ17cG3Pe7z6yuuiiBRpE6KQFHnorFy1AmvvYQ1EJEBxdhzdRrecjamhY4y+sQ2+3t6E/rwdh66jWxWDadGnsXDp2eAziUQKgrxjN/D/KBRylNpoin716hWmTZ+ElddwfIYO4tbJVQRP+ZzM2+dJizqFipoWnn1nYuoY0K7yjEnX9zJo8DDMzVv2gRMR+a8we9Zc1q/vgY3PyGYTV+BupnTKzaPcufALFq7BBD3xUaNkP89+syhIiyQ57CAZ0aepqShk/rxnGDKk5VOBgoICIiLCSEyMp65ORl5eHrXVFchltSgpq3b43oRmCi1YuPQkPfo0Zo4BrY6RF3eWyWMGERsb22SN7sQbv+MUML7ZZ6dtaI1DwAS+//F7+vTp1+57EHn0EIWkyENFoVDw277d9JqxrKmrbdohlEildOvWnfUb15OTEIK5c/NxilWleWREn6bX1K8afK6mZUBVWT4KhbxZr7WmqKupJCPmDBm3z1FTU8PI0SPQ1dXHz9eXeXPn4e/f2AA4KiqSqdMm4tbvmXpbn/RoN5Ju/I7PkEVtnvvvFGbEkHX7NLvXXe3wGCIi/2tYWVmz+K13+H7lT3Sf8GmTtlwKhZyIP36gNC+JHk98hL5Z07uXEokEY1vv+iPpsoI0du7/kajoaLZs/qVBaVG5XM7Bg/tZuWoVN2/ewNjCEU0Da5AoIaspp7KykmMrnsTSrTf2/iObFHGtUVVW0OQRto3XIOLW76Q0L7lF8VyUFUtBxm2GDVvKug0bG12X1VWTkxCC18BnWlyHlecATq2dTVFRIQYG7YvZFnn0EIWkyEOlsrKCmpoqNHQbl+7TNXEgP+1Wg7jBv1NTWUJRbgoeHl1Y8dMqnp71JFIl5SbLL1YUZ3F178c4dB2NtmHDjEMtA0vUtY3ISbiGhUtQq+uuKisg/uouMm6fw9DKA4euY9DUNUGqpEJdTQW30iKYMHEC1tbWvPLSy4wbNwGA2tpa5s6fjX3AxAbekF4D53Nh22vEX9uLc/fHW53/75TlpxJx5Cu+XfpdI1sSEZH/OvPmLeDsuXNEHP4Sn8feaODjKAgCt46voKosl+ApXzRbJaspdIxsCBj/CTePLGX2nKf55edfkUqlxMfHseDZ+WTmFmHlM5IhC15uUsBWleWRevMYV3Z/gLVnf9x7zWhTKcd7606PPoVH35mNrqlp6uHZbxZX935M4Ph3mxSpRZl3CD/0Bd8sXYabmweyumrKCzMavPvqqsuRKqnWe1Q2h4qaFuoaOhQWFohCUqRVRCEp8lDR0NBESVmZmspi1LUMGlyz9RlGUujvWDgHNVuaMDXiCAMGDMHMzIyKijKMjY25fuBLdIxssfMZhoauKXU1FWTePktu0g2QSJEqqzXK8pRIJNj5jiA5/GCrQrI0L5mQfZ9g5tSdPjO+abKcmJF1F5wCJ5Idf5XX31rMtevX+OTjz1i+/AcqZWq4+z3WoP1fa3NXluTg2Xdmm2t7Z8Ze5M7ZtXzw3geMH/9Em/qIiPyXkEqlbNywmbnzZxOy8008Bi6qD5XJir1Iftot+j75XbtE5D2UVNTwGfEa13YvZtPm9TjYOzJr9tPYdR1L4IBxLZ5gaOiY4NZrOna+I7h5YgUXt79FjwkftGj2fY+C9Ejqaiowtfdv8rqdzzAkEimXd76DoZUnVh79UNXQo6aikNTIExRnxWJgYICLiwsaGhpMnDiFc2EH8By4oH4MZVVN5LJaZLVVLb5v5HU1VFeVoavb+rpFRERD8keIf8qQ/O/MnPUUSaU6OHWf0OBzuayWyzvfRcfIBq9BCxok3QiCQFLYAZKv7WLH9t3o6OgyZtxIrH1GY+M9nJzEkLu1titLUVJRw8TeH1uvwdRUlnD9988xdQjAs9+sBmKyvDCTc7+8RNeRr2HuFNjkWiuKsri44y3cgqdh18Zs6uqKIsIPfMrjo4exe/cuPIa+1ige9B41lcVEnlxDcU4cTt0fx9qjf5MveEEQKEiPJP7qLiTVeaxcsZq+ffu3aT33i2i23TriM2qZB/V8BEFg69YtvPf+OxhZe2Hi3IdbJ1fSdeTr951BXZKTwLW97yORSPAZ/iomzQi85temIOr0egozogie/HmLwk0QBG78/ikFGdH0mvYtWvrmzba9F16THnOG8sIMdIxssfbsj6Vbb7LjLhN/aQu/btuJvr4+Y8aOwtJnFA5dx9THXl/d+zFmTt2x9x3R7BxpUaeQ5odw9Mixdt3zg0I0JP93IwrJR4h/i5AMCbnK5KmTCHziM7QMGu7u1VaXE3rgS0pyE7D3GYaWoTUF6dHkJV2jrqYKbV1DqiqKkUqVcev9VJuscmoqS7i4/S0cu47G/v93Bkvzkok4/AVDB/bn0JHDeA97BRM7vwb9BIWcsz+/hI3nwAalDNtCdUURV7a/gVRJiT5Pr2w19jMn8TrJYYcozIxB38wZXVNHVNW1UchllBem3639K5Ggpq7FM7Om8eqrb7ZrPfeDKJJaR3xGLfOgn09RUSG/bt/Kjz/9gKBqRPDkzzpl3NADXwKSVpMAm0MQBK7//gXq2kZ4D5rfbLv4K9upzQljxoypfPf9cvxGvoWemVOz7XMSrxN+ZBneQxZi+bdyqtnxV4g4+j0ICtS1dKksL0NVXRtbn2GoaxtRkBJBTvIN+j75LRo6Jo3Grq4o4trut/nu668ZNWpMh+67sxGF5L8b8Whb5KETGNiDN157na+/eQfHHlOxdO+Dsoo6CrmM/NSbCDUlDB44EHMzYy5dPkleWjoefWdh4doLJWVVYi9vpyQnoc1+i2qaevgPf4nrv3+OqpYBubdPUpBxm3fefo+FCxcREnKBCU9MwtJjINbew+qPrnOTw0AQcAwY1+57VNcywCV4Bncubm1TApGZYwBmjgFUleVTnB1HaV4ytVWlSKTKGNv54Rw4AV0Te9KiT3Mt9Ea71yMi8l/GwMCQhc8+zy9bt6LvMa7TxnXoOoaww9922ABdIpHgM/hZzm55EWvP/o1OJgSFnNiLP1OWfp1jR4/j7e2OgYER77zzNgYWLph7DMXYxgslVQ1kNRX15RarywvwH/lqk8fg5s5B5CSFIpUq4z3oGeSyWuKv7iY57AAW5ub0Cw5G5mfDkd1337/33qtyWR3ZcZdICtnO1EkT/zUiUuTfjygkRR4qgiBw5colroaEoKKiTMy5DUSf3YCKiiqCQoatrQMfvruYyZOnER0dxc5dO+g5+Qu0De4mlAgKOenRp/EZ8ly75tW3cEVZTYuMaz/zysuvMXHiZLS17/7KHTZsGKdPneWHH39gz/bXMbJyR9PYhay4S3dLhnXQa9LcJZjI0+soyU1scwanho4xGjrGjeyK7qFn6kjk8X0dWo+IyH+Z8vIykhJjGTrMt9PGNLB0o7a6jOryAjR0jDs0hpqWPvb+I0m6cQCDkXdrhNdUFJMedYLM6OPY29qw7/gZLC3vHmc//dQsxo6ZwN69u/ju++8IPZgCgoBEqoyBpRtOAeMwd+6BVKl5v10H/1Fc3vkunn1noqSihluvadj5jSBk55uMHTOO/v0HcujQAZb98D2nzqxFVV2HyvIilJRVUFNT5U7sHU6dOk7//oOQSttuRybyaCIKSZGHRm5uLtNnTCE5NQ3LLkPxfuxtlJTVqCrLJyvmJFnxVxg7ZiyTJ09DIpGwdt0arLsMrheRcNfyRiJRwsjGq11zSyQSHLuNRb/2DrNmzW103dnZhW+/+Z6PPvyEvXt3E3ojlN3Xs7H27N/h+1VSVsHWewgpEUfuy+bnr6hp6lNa2jYjdhGRR4moqCgMTKzbnCXdFiQSKXqmDpTmJnZYSALYeQ/l5Lq5hO3/EIWshsKcZIYMGcGXm7bQo0dQox+r2traPPXULI6dOIGe40DsfIcjVVJp849aXWM7tA2tyUm6Xu+Coa5lgLXvKFauXkn//gMZOXI0eXm5vPfeYrQMzHHsMQkDSw8EuYzc1AgWvvAS+rqabN+2E3t7h1ZmFHmUEYWkyEOhqKiQkaOGo2LsSa+nFjfIfNQysMDY1hunoBzWb/6U6ppq3nv3A06fOYVTv+cbjFNVloe2kU2Hdgl1jGzICD3VchsdXZ5+ejaWlpacvxqBippWu+f5K8a2Pty59Ot9jfFXBEHRLt9LEZFHhaKiQtTbkB3dXlQ19amtvr/4cjUtfQxMbJg6fjhBQcG4u3tiatrYAu3vpKenoeMW0CGTcx0ja6rL8ht8ZuESzIUtd9+pa9eu5sulX9Nj0heNvCl1jG2x9x9F0vW9jHhsKCeOn8bKyrrdaxB5NBD3rEUeCu9/8B4SHTvc+sxqVghp6pnhP/Z9NmzcQGjoNWQyGdK/vUDbayD+VyRSJWQyWZvalpSUoHyfIhLu+rHVVZff9ziCIFBRnEVa1Em0tLT49ddfOHBgPwkJcSgUYnKHiIiSkhRB6Py/BUGhaFe1qebQM3NGR0eXvn37t0lEAtTVyZB08GhZIlVGIW9YvUtJWQ2ZvI6UlGQ++fQj/Me816zBuUQiwbH7BIycevPiyy90aA0ijwbijqTIA6e4uIj9+/cQPH1ZqzuJGjrGWHsPY83aNXi4e1KUHoWusV39dVUNXarLCzq0jpqKQgwMDFpsIwgC16+HsHHjBspK7v8I+X5KpgmCgrzkcFJuHqUwPQoAbSNr1HVs+G7Nr8hqKijKSUQhlxEQ0IO5c+YydOhwlJTEHUuRRw9ra1tKCzM7fdzK4qwmCyg0h7yuhpK8JEpzE6mtKkOqpISmvgVyQUpJO98pRkZGVJfmdyjZp7q8oFFsdkF6JE7O7mzctB4rt97oGNm0Oo5DwOOc2TCflJRk7Ozs27UGkUcDUUiKPHD279+Hia03mm18GVt3GcKBTc+y4JmFbNu5B+sug+rjnoxtvAk/sozyoswGsZNNUVtVSnrMWSpLchAUMorSI5k0flSTbQVBYNeu7Sz7fhk5uXno2/hSXZnU4WzNe1SV5qKqodvufpmxl7h9fjMSqTJ2vsPp0n82GrqmjdYiCALVZfnkJF3n1bfeRvL6K7z/3gdMmjT1vtYtIvK/houLKzVV5VSXF6Ku3TnVWOR1NZQXZbYpWa6yJIfE0N9JjzmNupYhuqaOqGnq17tRFGXdYWteFI6OzjzxxORmk1hqa2vZv/83Vq1ezc2bN5DLznLzxHK0/7/ogpV731aLF9RUlpCfehPvQX+akSsUctIi9jN2WH82bliHbdfxVBRnt+hZCXdPVazcevPr9q289eY7rT4HkUcPUUiKPHBSU1NQ02t7fI2GjhFIVdi+5wBlJflc378E3+Evo65tiLKqBlYe/UmJOEKX/nOa7F9emEHc1V1kx1/BxM4PPVNHJErKSGx82L5zJxcuXeKlF16srwojl8t59bVX+O3AYZx6zsDlsbvm5KfWP0NRZgyGVp4dvveUiMNoG9m13vD/qaksIfLUGoqzY/Ea+AymDt1aFIQSiQQNXRPsfUdg5zOcgrSbvP/xEvbs3cMP3/+EuXnjKjwiIv8VFAoFUVGRRESEERYejr6BMZl3LuDYrXOsa7LiLqFv7tKqmXhKxBHuXNyKlUd/ek/9ulFJVgCFvI6suCt8+OmXbNy0kZUrVjdKYtmxYwcLnl2Emo4pFp5DGTj32bvVaOqqKUiPJuXmEWLOb8Y1aAoOXUc3+25IizyBqUPXekFdWZJD6O+fUVmSw2+HT6Bl6kJhRjQJ1/ZgYOmBS48nWnzPaRjYkJyc0pZHJvIIIgpJkQdOR45aJRIpPiPfpK66nIg/lnFq/TNYOvmjpmVMVVES+ZkJWHv0b2TaW5AexfXfv8DOZyj9Zy6/K0r/gqLfLLLjr/LWu+9xNeQqX3+1lAXPLuLw8XN0f+KzBjVo7XyGkRx+pMNCsiw/leqSLOoqCqmtKkNVo2VT3YqiLK7seR8TO3/6PfVDm0sm3kMikWBs64vBlG+Iu7KN/gP6sG/v73h4dFwIi4j8GykpKWbrtp9Zs3YN5RWVGFi4om5gj6a5H8nhh7D3H3nfSWmCIJAcfhgH/6ZPMe61iTy1hoK0WwRN/KTFnUupkgpW7n2wcOlJwrXdDBk6gL17fsfb2weA1WtW8ulnn+M97JVGrhRKyqpYuARh4RJEaX4Kob9/SXV5Ph59ZzUSkxXFWcSH7EbPwJyY02uoqSggOykCI+sueA99Hn0z5/q2dTWVpEef4tr+z+nSf06zLhWCICAVQ2ZEmkEUkiIPHCcnZyr3t73UVnlRBoIgR01TH01dU/o8+T23z2+mJOUyT08cgYXFWCorK/loycf4j3obfXMX4G61muv7P8d32POYO/docmypkgqWbr0xsvHm9/0fkZr6BGE3owmY8FmjI2gbr8Gc3vAsFUVZjSrwtIXkG78xY8bTFBYWEnJ6FT7DX2m2hnhlSQ6Xd72Lg/+odlfR+TtKKmq495lFqp4lY8aN5PDBo7i4NF2iUUTkf40jRw7x0ssvoG3ihE2PWRjb+tQnwwiCguKcOBKv/4Zz4IRWRmqZ1JvHkNVWYfG3yjF/Je7qTgozogme3Pj90RxSJWVcgqagrm3MhInjOH/2EuHhYSz59DO6T1jS5G7mX9E1tiN4ymdc3L4YDR1THLr+KXTLCzMIO7CEV19+FWdnZ1JTU/n5l5+x6dIPzwHPNEoaUlHTxMF/FAaW7lzd/SGa+uYYWro3mrMiLx733gPbdH8ijx5i1rbIA2f06HGU5KVQVpDWpvYpEUex9uhfn6QikUhw7/M0UjVdHB2dmDRpKjNnzuGrz7/i+r4PiTr+I0VZsUSdWY9zjyeaFZF/RU1TD9+Rb3Hm7Dmce89p8ktAXcsA16DJhOz7hJrKknbdc9KN36ktiufll17l66+WoqtSSdTJFSjkjbPGFfI6rv/+BbbeQ+5bRP4VW59h2PiNZ/LUiVRWVnbauCIi/wQymYwXX36B5196EZd+z+I78i1M7PwaiCOJRIrfsBeIv7aHosw7HZ6rND+FmHMbMXNq3vi7JDeRpNDfCRizuENx0DZegzF27MlLL7/ABx99gFu/ea2KyHuoaerTbdTrxF7ZgbyuhrKCNG6fXcfVnW/yyovP8+qrbzB27OMEBgZRWFyKR795LWae65s54xI0iYRrextdq6koJjshhClTprf7HkUeDUQhKfLA0dTU5MkZTxF/cTMKhbzFtqV5yaRHncTOd0SDzyUSCeYeQ1m5enX9ZxMnTubqlVDGDw0g8vAXFGfFYuc7vM3rqijKRFVdGxO75ithOAaMw9QxgIvb36K8qPWMUEEhJ/7KdrIjD7F39z6MjY3R1tZh/77fMdOuJWTXW5TkJjboE3d1N8pqmrgETWrz2tuKnd9IUDdlyacfdfrYIiIPC7lczvwFczl1PoSgqd9i6tC12bbahlb4DF5IyG9LKMyIafdcpXlJ3Nj/MfPmziMr5gTV5YVNtos5vxmXoMmtJqu0hHPP6Vy9dp3s7Jw2/QD+K3qmjmjqmXJ+80Ku73mXAd3sOH3qHM8u+LPq15q1q7H0HIxUqfXDR+suA8lPvUlVaV79Z4IgEHfpZ4YNH9VmyyKRRw/xaFvkofD22+8Rcm00t/5YisfARaiqazdqU5gRQ+iBL3Hv81STthSmDt04v2VDg88sLCx56813KCoq5lxEJsoq6m1eU0rEH9j7j2rxl7pEIsGz3yzUtQ05/8srmDp0xc53BEbWXg1ik2oqS0iPOklW9HHMzUwaGfjq6uqxf98B1q1bw6efvY+xdRfM3AeipqlPUtgB+kz/plO86ppav3v/Z9i27WUmT5qCr2/j2rwiIv92vvzyM0JuRNF13Idtih22dOsNEinXfluCvd9jOPeYhJJy8yUF4W5Wc3LofpJC9/Hpp58zY/pT1NbJOHT0W/zHvNegYk55UQbF2XEEjH7rvu5LWUUda6/hZMZe7FBMp2PXMZQlHOXEsVNoamo2uh4aeh2n/m3zgFRV10bf3IXinAQ0dE2Q1VYRe2Ej0qp0vvl6Y7vXJvLoIApJkYeCuro6e/fs58WXX+CPDfOxcuuNgW1XlFTUqC7LJy3yBBXFWXj2n4O1R78mx1BSVkVWV9fktcioKPQte7drTQXpUXj0ndlqO4lEglPAOKw9B5AWdZKIoz8ikUhQ1zFGSUmVmqoSygvSGDp0BJ+tW0dwcO8msymlUinz5y9g8uQp7NjxK1t//ZWwO9HYeA1BS//BZVeraxti6/MYy1csZ83qdQ9sHhGRB8HNm+GsXruKnlOWtisBzdI1GH0zJ24eX8GpdfOw9R6CmXMPdI3t6o+rFXIZ5YVp5CZdJzPqBPa21hw/dgpXVzcAPv5oCSkpMwg78Cnew15BTUsfgNzEUMyderQ7Ia4prDz7EXt1J4JC3mwMdXMYWLqTcGlTkyISoKa2plFRh5aQSpUpyoyhJDOS9JgzBAUFs2bnMfT09Nu1LpFHC1FIijw0NDU1Wbt6HWlpqWzavIHTZ49z584dDCzdsfN7DAuX4BZ3DSqKszAwbLrebVVVJZrtqLErCAJ1NRXtim1S09TDufvjOHUbS3FOArWVxcjlMqrK8qhKu8iWzb+0aRw9PX3mz3+WadOexMvbDXv/kW1eQ0ex9hrCkS2LKCgowMjIqPUOIiL/AgRB4MWXXsA5aCqaembt7q+pZ0bQEx9RnB1HSsQf3Dj4NdXlBahpGqBQyKmrLsXQyIRewb35anPjutcqKips3vQL77yzmF1bX8K511NYufelJCcBfYvOSWBT1zZGWUWD8qLMNhmE/xUlFTWqq6uavW5qYkZFcVabxhUEgYqiNAzUa+nbty+zfzyLs7NLu9Yj8mgiCkmRh46NjS3vvfsh770Lffv3RtOhPxYuPclNvkFKxFFKchORSCTomTpi6zMMU4euSCRSMqNPMHnylCbH1NXRo6pD9XCFdveQSJUw+MuXSEFaJLLsa+0e59Sp4+ibObRqrN4ZqGsbYmrnw5EjB5kx4+kHPp+ISGdw48Z1UtPT6TPo3fsaR9/cpd7dobaqjJrKYuR11Vzf9yG/7f29fgeyKVRUVPjqq6WMHTuWt95+i/NXtqGQqGDp3ue+1nSPe16w1WX57RaSddUVaGo1bys2fdo0Vm/Zi7lTIIIgUJgeRXLEEYoybyMICrQNrbHzGYa5cxBFWXfQ0lDl7JkLYnUskXYhJtuI/KMsXPAsKaF7ubr3I2LObcbE3p+eEz+mx4QPMbb1JfrsBkL2LaEkN4nMOxeYNbNpE/LgnkHkJ11t87wSiQQVNS1qK0s7vHZBEKgszaU4OxYVFWVyc3Pb1f/GjRtoGT+8X/xaJi5cDw19aPOJiNwv69avw8pzSJuSRdqKqoYOOkY26Ju7YN1lEBs2ti3co1evPpw7c4Gd23egrdlyvGV7EQR5B37SQk5CCDKZjA0b1lJW1vhdNnnyVPLToyjIiCH8j+8J+2MZeqYOBD7+Pj0nLcHKox8J1/ZycftbJFz9lTmz54giUqTdiEJS5B9l4sQpSBTVSJVV6TPjOxz8R6JtaI2OkQ0OXUfR98llSKRSru5+j8WL38HWtmGVmLCwUBYuWsCPPy0jI/ZqsxmWTWFs401W3KV2rVchl5EVe4mQfZ9wbOVTnPv5JZLDj5CWkYV/1y54eLowe+4sLl++iCC0/NVwLTQUHVOnFtt0JnqmToTeuPHQ5hMRuV/OnT+LiWP3Bza+sUN3zpw92+b2EomEbt26082/K1Vlea13aCNVJXmoqGm1q48gKEi5eRTLLsP5af2veHm789VXXzR47+jp6fPtN98Tun8JlcXZ9HvqB5wDn0DX2A5tAytsvQbTe9rX6Jo4UFGYzjPzF3baPYk8OohCUuQfJTLyJlVVVXQb+XqT8ZFKyqp0HfkaEgT69R1Q/7lMJuPFl55nwsQJ3EqX0/vJH7F068Pti7+0KuDuYWDlQdKNAwitWBLdIyfxOqc2LCAuZDdmTj3oPe0rhi3cyqB5a+k3azVDFm6jy4jFJBRp8tSsWfQb0IfIyFvNjpeennpf1iHtRcvAksyM1Ic2n4jI/VBQUEBRYT46RrYPbA49U0dSkuOpqmo+zrApugcEUJGX2HrDNlBdXohcVk1BakS7+mXFXUYikeISNBG/0e/SY/KXbNq6nYWLFqBQKOrb9e7dB0EhJ2DMW6ioNU7KkUiV8Bm8ADVNPS5fvnDf9yPy6CEKSZF/lE2bN2LlOaiBtcbfUVZRx8Z7CJ8s+YgjRw6RmJjAgmfnc+ridYKnf49Lz6lo6Bjj2W82xVmxxJzbjCAomh0PoDDzNknXdqGno0VucliLbRXyOiKO/cTN4yvwHjifPtO/wc5nKFr6Fg0C86VSJXRN7HHqPoHeTy1H2awHI0cN48efvm9S3NbW1jZrdvwgkCqpNJv1LiLybyM+Pg4DE+tOPdb+OypqWmjrGpGcnNSufv36DSAz7jLyupr7XkPmnfME9ggm49YhsmLbdkJSlHmbW8dX4j14Qb1tmLaBFd0e/4Szl67xyZKPyMzM4OjRI3z00XuY2vvVZ5w3hUSqhKXnENatX3/f9yPy6CEm2zxkNm7cyNatW8nJycHR0ZHnn3+ewYMHt9inoKCA7777josXL1JcXIyDgwNz587lsccee0irfnDExsWjY9q6bY+uqTOXz23iTlI22anRqGsb02va0ga/sFU1dAh64mNCflvC5Z3vYO8/CnOnHg2+iErzU8iIPEbWnXP8+P1PVFdX8e6HH6Nv5tzki1YhlxF68GtktVX0e/qHJv0vm0IiVcLefyTG9v78uOJTSktLeeft9xq0UVFRQVA0rnTzoFDI61BWeXjCVUTkfqiurmqXL2xHUVZRo6amus3tIyNvseDZ+SBRIi3qFPZ+I1rv1AxyWS2ZUUf5YPlydHS0mTJ1EhWFadj6PoaqRuMkGnldDWnRp7hz4Re8hyzC2NanwXUVNS18Ry5m1aoFrF27EhMrN6praijOTebqno9w6zUdfXPnRuMC6Jm5EH+l7cf8IiL3EIXkQ2TdunV8++23LFq0CC8vL/bs2cMLL7zA5s2b6d696Tig2tpa5syZQ2lpKS+88AJmZmYcO3aMl19+mdraWsaNG/dwb6KTUVFRpUpe22o7uawWHVNHfMcspmTLi7j1mt7kMY26tiG9Jn9Oxp3zJITsIer0OnSMbBAUcoS6Cmori5g27UnmrPwUBwdHlJWl3L4Tw/Y9S/Ab/Q7qWgYNxrt94Rfqqsvp8fgHLe6aNoe2gSXdxn/Exs1v4+HuzuOPT6y/ZmFhRUVxDromDu0etyNUlmRjZv7gM8RFRDoDVVVV5PIHv4OukMtQUWmb1+LhwwdZuOgZHAOn0M3PkWv7P8PMKRANnY5ZaiWE7MDDzYX+/QeioqLE1SuXeP7FVzm78RnMnHpgbN8NZTUt5LVVFGZEkx59Gl1TR7qPf6/JmtgAGjpGmDkFoaFjjEffuw4NstoqUiOPc3XPB3Qb8xbGNt6N+snltaiqij80RdqPKCQfEtXV1axevZqZM2eyaNEiAPr27cuUKVNYvnw5mzZtarLfmTNniImJYdeuXfj43P31GRwcTGZmJuvWrfufFJIREWGsWr2Ky1cuU1FehqZJBVbufVvskx1/BSNrL4oyY6irrcTUMaDZtkoqath6DcamyyBK85KoLMklP+0m0tI4zoTEoqHR0ET4+2XfopALbN2+GIceU+v9LAszb5MWdZK+Ty7rkIi8h4aOMZ6Dn+eNN1+jV6++mJnd9cPrHtCNMxEJWLgEdXjs9lCck0C3rt0eylwiIveLnZ09JfkZCILigVR9grs7fCVFOYSEXCEu7g5OTs64uXmgqtpYWF64cI6FixbgN2oxhlaeANh6DSb0wBf0mPBRkz9sWyIz9hJZ0SfZfuZifYiMu7s7O7fvJDk5hf4D+lBamIFEIkVZRR1tIxuCp3zRJosgB/9RXD/wJW69ZyCVKqGsqoFj1zFo6plz4+BSBs1d0+idlhN3iYKcHHz9vfDz9WfBMwvo2bNXu+5J5NFEjJF8SERERFBaWsrQoUPrP5NIJAwZMoSQkBCqq5s+WtHW1mby5Ml4ezf8BWlvb09q6v9e4sSGjesYN34MkRkKHPs+h+uAheQkhVGan9Jsn5LcRPJTb96tBZt2C3OnwDaVE7vnRWnhEoRnn6dJSoxrtuLMkiWf8e3XXyPPPMe5jfOJvfgzkSdX49Zreod3G/6KsY03xg49+Obbr+s/6+rflYq8+Pseu61U5sfTrWvzNYpFRP5NWFhYoq6uQUUbatx3lNK8ZJRVNVm5ZS9LvlnJhEkTcXCw5LFRI9i/fy+1tXdPS8rKSnlmwTw8BiyoF5EA7r1noKVvyZVd71JelNGmOQVBQdKN34k9u5pft+3C2rqxMNTX16estIhekz+n15Qv6DHhQ7r0n9Nmn0l9C1fksmpqKooafG7uFIi2oRWZsRcbfF5Vlkdq1Gkcez6J84CXSC7TZ/pTM/jiy8/aNJ/Io40oJB8SCQkJwF0B+Ffs7OyQy+XNisLg4GA+/vjjBgKorq6OM2fO4OLyv1V1IDLyFh9//CEBE5bg0nMq+ubOmDl0o0u/2Vzd/QGFmbcb9SlIjyJk3yd06T8HVXVtZDWVqKg3b8DbHEoqaqioqlFW1rxp+ejRYzl5/DS//3YAR8NaKktysOkysN1zNYet32h27dpORUUFOTk5/PLLFrJTb3P4+4kcW/U0UWc2UFvVcV/LlqipLCYnKYwRIx58FR0Rkc5AIpEQGBhEXivJcPdDTmII6trGZKfEkB5/A0FJE7c+s6jV8+edjz7Dr6sXx44dYek3X6Fh7IyFa3DDNUqV8BvxIuYuPbmw7XXuXNxKVVlBk3MJgoLcpFCu7FiMLDuEQwePEhjYo/56TU0NOTk5lJQUU1xcjJq6ZrtLJtavSyJBRVULWU1lo2tWHv3Jjv/Tc7c0P4XLO9/DsdtYrD37o2fqiFP38fSY9CXr1q/n9OmTHVqDyKODeLTdCVRWVnL8+PFmrxsbG9cLGG3thskaWlp3vcPKy8vbPN+XX35JSkoKy5cvb9c6pVIJUmnjHbmHxdr1a7D2GtLoV7Wd73CkyiqE7PkIXWMrjGz9//+le4OaiiI8+s7E2rM/AEoq6k1mSsrrashNDqO2qhRlFTWMbLxR1zasvy4o5NTV1qCrq42y8p+/n5SUpA3+F8Df3w9XFxficyUotaNObWtoG1qhZ2LH559/zOYtmxEkyngPmo+JvT81FUUkXN/Pxe2L6TXliyYD7e+H9KiTDB48DCur9sdINvWMRBoiPqOW6ejzmTd3LguefxF7/1FNnibcD3U1FSSHH8bQyhPvwc+ipW9OQXoUt8//jIVrMIGTviIn8RrPLlpETXUlgU983OQ4EokUlx4TMXcOIuHaXs5sWoSOkS16Zk6oaeqhUMgpL0ijKCsWJWUVJPJKTl1LRENDg9LSUnbt2s7KVatJTLiDiqo6clkdEokEhUKBIAhN3ndtVSn5qTepq6lERV0LE1tfVP6WCCirq24yJEdVQ5fywnTuXNxGaXY0eRmxuAVPw7Hb2AbtNHSMsfEby8pVKxkyZMh9PGmR/zqikOwECgsLeeONN5q9HhgYSHBwcJPX7tnCSKWtv2AFQeCrr77i559/Zv78+a1me/8dQ0OtTn8Zt4fr169j7DutyWs2XQYhl9WhUhzK4H4OnDl9hjIdQ3pP+6qBRY6uiT1xV3bWv2DraiqJvbyd9KiTaBtao6FrSl1NBTdPrMTUoSv2/qNQUdWkODseSytbrKxMmnwGuroN4yavh4aiaxHYuQ8A0DR2ZtOWLcjlCnpPXYKO8V2PPDVNffyGv8iNg1+TFHYQt+CpnTZnTWUJaRGHWHfkAAYG7TM9/it/f0YijRGfUcu09/lMmDCGV197hez4K1i49OzUtUSeWouWoTXdx75dv/Nn4dITAws3zmxahK33EMwcu2Ng6cGNg18Rc24zgePebTZeWsfIBr/hL+LZfw7FWXcoyU2krroMiUQJU4duuPacjLaRHSHbX+L27ZscPHSY1atXY2TlgbnXBNxG+qOkrIIgCFSV5XNuy4uU5iWhZ+pYP0dVWT53Lm0jK/YSBhauqGroUVNRxM1jP2Hp1ge34GmoaelTUZyFoJCh9rfkQYDKokzsLA0Z0duWG2H5pJt74hQwrsl7MnXsxo19++7rvSHy30cUkp2AtbU1d+7cabHN1q1bAaioqEBPT6/+88rKu0cPOjot70DV1NTw1ltvcfjwYebOncurr77a7nUWFlb8ozuSUqkUhaz5DG1BIcPa2pbFb73PuLFPMGTYEASFAv5yumPm2J3IU2spzopFy8CSK7vfQ0vfslEQek1lCUlhB7m6+wNU1LURFHIUsmoenzCZBc8soHv3QCQSCUpKUnR1NSgtrUIu/9N7Mio6Ev+xkzr9GeiYOKKqaYi6tmG9iLyHRCLB3n8kN4+v6FQhGXt+PePGjMHDw5eioop292/uGYn8ifiMWuZ+ns/Sr79hzvx5GFl7ddpOfXV5ITmJ1/AZ/Gyj42N1bUPMnALJiruMU8A4VNW1CRz/PqEHvyLsyHd0G/1miz/IVdW1MXXohqlD04lt2ibOzHtmIZUyVXpM+hotA4sG1yUSCZq6Jtj5jiA5/Ai+Q+8mZ1YUZXF517uYOwfRf+ZPaOgY1/epLMkhPmQ3F7e/Sc9JS0i5eRQrj36NTlQEQUH2nZNsWLOKfv0G8M67i0kPzWr2XuR1NSgpKXfovdGZiEL2340oJB8SDg53LV5SUlLqs6/v/beqqio2Ns0HUZeVlTFv3jzCw8N56623mDVrVofWoFAIKBQdqejaOTw2YgS/nbiAib1/g88FQUFhRgzpN4/Qa8IYcnLycHFxJyCgO7fPrsVz4J8ve6mSMnY+Q4m9uhMJEvTMnPEZsqjRi11NUw/3XtPR0rfk9oUtDJyzGlltFbejTjBxymQGDRzITz+sQFPzrk+dXK5AJrt7lBQaeo3ystJ2lyxrCypqmigUMlTUmx5bRV0beV3bPe1aIy3yBFX58Xz00TZksvsTOPeekUjziM+oZTryfAYMGMzwocO4cmoFPiNea1OiXYtrkNUR/scyVNS0mv0bV1HXaRBCI1VSputjr3Lu55fJiDmDteeAJvu1hqCQU5CViKaOIV3HLG6ymtc97HyGcu7nl/Do+zQqqhpc2/8p9v4jce7+eKO2mnpm+AxZxJ2LW7m2/3MqS3IJnrSk4dyCQNylrZiZGBEc3JeiomJ0dXTJurMD155Tm4zHzI67wNAhw8R/0yItIgb0PCT8/f3R1NTk6NGj9Z8JgsDx48cJDAxs0m4C7pYCXLBgAZGRkXz33XcdFpH/BmbNnENe0nUy/796gyAIpNw8yukNzxJ+ZBkqWsYcOnkZP/8uPLNgHp8t+QJNoYDQ3z4kOyEEhVyGoJCjZ+ZMcVYsBemRdBkwt8XdAZsuA9AxtiXj9jnUtQ1x7jGJ4OnfczU8ljlzZ9aXEhMEgR07ttG7bzCTp00BpCgegIedQi5DRV2b/JSbyJoQjNnxVxpkhd4PGbfPk3jlF37dtgMdHd1OGVNE5J/g66++wVhTRtTxH1HIO27iL5fVcuPQ10gkUswcu5OdcK1RG0EhJzfxGoZWHg0+V1JRw3fY8/eVFJcaeQIQ6DrqzRZFJNwVh+YuPQk/8h3ZCdeQSKQ4BYxvsY9rzynUVBQhlUqpKstDoZAjKOTkp0YQcfBzanLCWbdmHa++9hJdvNzYsmM/srpaos6sb1QNLD/tFum3jvLsArH+tkjLiDuSDwkNDQ1mz57N8uXLUVFRwd/fnz179hAVFcXmzZvr22VnZ5OdnY2npyeqqqps3bqV69evM3nyZCwsLAgPD28wrp+f38O9kfvA3NyCX7ftYsaTU8iJOU51nZyqkhy8By/E2NanXhBWlRUQEbqHseNG4u3tS052BJHHf6K6shSJRIKZhTXeXTwolBm1qfKFnc8I4kN2YeczDLhX/eEtru95ly1bNvL88wt5/oXnOHLsFI49puIyPJCL29+kvCgDDV2TTn0G5YXp6Jk4oK5lSPiRZfgOfe7u0bsgkJsUSnzIHixdgpHLajuc6KOQy0i8vpfMyCPs2rkXb2/fTr0HEZGHjZaWFnv3/MbkqZO4vvddPAc9h7ahdbvGKMlNJOLoD6jrGBMwZjHVFUVc2PoaBpZuWLn3QSKRIqurJvrsRlQ19TFqwrTb0MoDYxtvUiNPNLkz2BKCIJAcfgS34Klt9qX1HrSAq3s/IurMepy7j281xl0iVcLBbyTSkkhyI3Zy7bdPAQlqGlpoaWrg4dmFiZMnoKxrT8+pS9HSt6C6vJCQ35ZwZtNzWHv2R1lVi9LMm+SnRbF2zXo8PDrnh63IfxeJ0FQRYJEHgiAIrFy5kp07d1JYWIizszMvvfQSffv+acb9448/8tNPP3Hy5Emsra2ZPn06169fb3bM1mIz/0peXvPWNw+TiooKliz5kG07dtJ7+nfN1oCNOrOBvOQb+AxZSG11BTmxZylMu8m2rTv4dtkyStQ9sfbo1+p8VWX5nN38AsOf29bg8+yEEApu7SY4OIgT567jO3JxfQzWzeMr0NQzxTnwifu+379y/cCXmNj5YeXel5vHV5CTeA0DC1eqywuR1Vbh1msaGbfPUV1WgM+QRY12RVqjODue22dWYWNhxMrlq3B0dLrvNSsrSzEw0KKoqEI84moG8Rm1TGc9H5lMxk/Lf+C775Zi7TUUG+9haOqZtdinvCiTlPDDpEWfwi14GvZ+j9UbnBdm3ib8j+9BUKCpZ05JTjz6Fm74DX8RNU29JsfLT7tFxNEfGThnVbuM0gszYrhxaCkD565p1/G8vK6Gk+vmETj+PfTNW7d8y0+9SXH0HlYuX8mEJ8ahYWiLmdsg1LX0Kc6OI+nGAXRNHeg26vX6REZBISc3OYysuMsUpNxg6KABLF26DD09/Tav80FiYtK5LhYinYsoJB8h/i1CEmDs+NGUqbtj79t8nVpZXTUn18yh19Qv63cfsuKuEHt2FT6+XanQ8m5TrFJVaR7nfn6JYYu2NvhcUMg5uWYmGtoGBD7xWQP7jOz4q9y59Ct9n/yu0zLd66rLObluHn2fXFb/5VdZmktJTiIqaloYWnsilSohCAKpt45z59JWNHVNsfMdgZlj92YTDeqqy8lNvkF29DHKC9N5843FzJ37TJucANqCKJJaR3xGLdPZzyc+Po4ffvye337bg7GVKxpGTuiaOKL6/+KvprKYkpwEijLvUJqfhLVHfxy6jkFL37zRWIKgoCjzDjWVJegY26BtYNXi3IIgcGLNbIImfNQoYa4lIo79hLq2MW7BU9p3s8CZTc/hO+wFDCxcW22blxJBScxe8vNzsfAZi53P8AbX5XU1XNv/GTpGNnQZMLdR/+z4KxTF7OfShSv/qMvHXxGF5L8b8Whb5KFTVlbK1SsXGfrsghbbKauoY+EaTFbcZVx63K1RbeESRH7iZRTyOkqyotskJAvSI9Extm/ymlwh4NZvXiMPNlPHACJPr6UwIxoj6y5tu7FWSIs+hZG1V4MdFE1dUzR1TRu0k0gk2PkMxabLALLjr5IS8Qe3TqxAXdsIXROH/1+rhNrKYioLU6ksL8Czix9vv/ocY8c+jrp668f9IiL/yzg7u/DD9z/xycdLOHnyOGFhYYSGXSSvuJiyslLKKmuwcOmFvf9jmNp3RVm1edshiUTarp1/iUSCnpkTJbkJ7RKSVaV5mDo0X9q1OWqrStHQNaUgLbJNQrIoIwp9HW1Kq4RGIhLuxnr6DFnIuZ9fwrXnlCbefd2JPrWSpKQEHB2d271ekUcPUUiKPHRKS0tRVVNv8eV+DzVNA+qqG1pPmLr0IT96H5mpSbgEP9WiJci9uCSHrqMaXctNDkNFXQcja69G16RSJZwDJxB5ai19pn/dwMuyI1SXFxJ3ZReB495pcx+pkgqWbr2xdOuNQl5HWX4qpXnJ1NVWAgIF6aX07xPM8uWrRfEo8kiip6fP449P5PHHJ9Z/9sqrL3E9qQ7nwAkPbF5dE4cWy7o2RV1NBcqqbfs7FQQF+SkRJEccIT8lAmU1TUpzE3EKGNtitRu5rI6M6OPountg7Nyn2XaaembomjiSn3arkT+nVKqEhrY+xcXFbVqriIgoJEUeOjKZjNrqKmqry1H926/hv1NVno+2QcOgehV1beQKOaNHj+PyiR/wGfFGsxmQ8Vd3UVdT0aSZcUrEERxaqJhh5zOMrDsXuXNxGx59n27j3TVGoZATcfRHrD0HYGDp3qExpEoq6Jk5oWf2Z8yjQlaLkZGGKCJFRP5CWVk5yqr6D3QOFVVNKkty2txeUMipqypFVlvVatvcpFAiT69DggQ7v+H4DnsBFTUtLu14m8jT6/EaOK/Jd5agkBNzZhV+Pn7IFQKKVuzLVNS1kMtqUchlZMVeJPXWcSqKs1BSUaemooC6uo5nx4s8Woj2PyIPlZiYaIYNH4yGjjHpUadabFtXU0F23BUs3Xo1+LwoIxp3N3e+/WYZ9ubahO57n5zE6w3sK0pyEwk78h2pkScIHP9ekzuKhZm3MXPq3uz8EokUvxEvknHnPPEhe9t5p3dRyGXcOLgUWV0V7r2md2iM5qirKsHYxLj1hiIijxDKKsp3Cxk8QARB3uY62PK6GiKP/4iGmpSyvIQW26beOk7YkWV49n2a/rN+wrHrGFTVtZFIJASMeZPCjGiu7/+Mwszb9VXRBEGgIC2SsAOfoiUUsmnjZry6eFCafbvZeRTyOoqzYtHUMyNk38ckhO7HxmsQQU98hM+QhZg59WDqtIlcvXql7Q9F5JFF3JEUeWjU1dUxecoTWPmNQ8vAmrAj32HuEtQoRhDuvhxvX/gZI5uGMYV11eVkRB7l0/XrUVZWZmD/Adz6/jvCj3yLRKqMmpYhspoKaipLUNXUxbXntGYD7GU1laiqtxzEraFjQs+Jn3B1z4eU5iXhNXAeqhpt82QsL8wg5tRyCnOS6fHEJ222/GgrVYXJ+PrM6NQxRUT+17G1tiYiqe1uFh2hvDCjTaE5BelR3DmzCm9PN17+dAMznpqBc4/JTf6wzYy9yO0Lv9Bz4ifomtg3uq6mqU/w5M9IunGAGwe/RqqkjKqGLtUVRchqKhg0YACrV29AU1OTWTPnsHXrAOz8x6KhY9RorNTIk6jrmJARcwYlZTV6T/3zx7a2oTVG1l3Iir3E9BmTuRF6E13dpjPYRURAFJIiD5EjRw6iUNLE1mfE3XKAfo9xaftiPPvNwtw5CKnS3X+O5YXp3L64laLM2/Sc9Fl9/+LsOO6cW8vQwYMICAhk+oypRMWl4Dn0ZQytvSgvSKW2qgQlZXW0DG3ITbrG7fNbqCrNaVRysPb/4y7/bsLbFFr6FvSZ8S3RZzdxZvPz2Ps+hq33ENS1DZtsX1aQRkbkUTJizvDSi69w8dIlirLj0De7fyuee9RVl5OfGY+fX9dOG7MlIiIiOHz4KCHXQ4mNjaOmphoVFVUcHOzp3i2AwMCg+rKT/xQKhYLk5EQiIsLJysqirq4WVVU17Ozs8fX1w9LS6l+ThXoPmUzGuXNnuB56jZDroWRmpCOTydDQ0KSLpycB3brRr19/nJxat335J8nISOfs2dNcDw3lVmQk5eXlKCkpYWZmRvdu3QgM7M748aMfylr8/PzZuf+PBzpHZUES1eX5XC9KwcihJ3pmTmjomgIClSU5lOQkUJB4kdqKQt5/7wOmTXsSiUSCjY0N2fFXsXTr3WC8qrJ8bh5bTuDj7zcpIu+hoqaJa8/JOPd4gtLcROpqKlFR10IqVeH83vdISkqkSxcvXFxcmTt3Pj9vex/3AQswsvZCIpEgq60i5dYxYi9uw6PfLGLObaL/0z82KWwtXIPJjT3Djh2/Mm9ey4mRIo82ov3PI8Q/bf+z8LlnicpWwSlgXP1nmbEXSbi2l+qyArQMLKmpLEZWVcyY0ePIysnmWsgV9E1sqSgroqq8GIW8Di1tHUzNzKlSaOI38q0Wd/qqyvK5tONtnALGYe/3GHDXGiTi4BcU56cSPOVrtA1btvv4K0VZsSSHHyY77jKaembomTmhqqGLBJBXF1Cck0hdTQXTps5g7px5ODg4cujQAV5/5316TF7aaUIm6cZBjEhm986OHbm3BYVCwe7dO1i5ahUpqSmY2PuhYeiAjpENSsqqKOR1lBdlUpmfREH6TfR1dVgw/xlmzHgaNbXO3X1tiZs3w1mzdg0HD+4HiRQjC2dUtU1AooygqKOmNIv8zAQ0NTWZOHEys2fN6RR/zb/SXnub0tISVq9eyYZN65Eoa6Jn6YWOiSMauqZIpUrI6qopzUumqjCJ7MRQfHz8eOG55xkyZPi/SgxfunSBH3/6kQsXzmLm4IuGoSO6JvYoq2qCIFBVlkdZXiLlOXeoqSzk6admMn/es5iYdK7R/1/JyckmoLsf/eesQ0VNs9PHr6ks4ezGZwi9fovz58/wx7FjhIeHkZebjUQiwdTMAn9/fx4bPoLHHhuNisqfIm3nzl95/5PP6P7EZw3KM965uI2q8nz8hr3Q4XXFXvyZAGcd3n3nfVatXsEvv2yhsCAXqZIKqmoa6OibUFacg7e3L06ODvy+fz8qOqb0mf5Ns2Omx5xFqzyCfXt+6/C6OgPR/uffjSgkHyH+aSE5d95sEssM6wXdXynNS6aqLJ/0W38wb/oYnnvuJQCuXLnMjKemoGnkhFPgJHSN7chOCCHy5GoGzVvbpuOlktxErux6n6BJn5AVc5qM6NNMnTqNwsIibuco4Rw0ud33IqutoiQ3keLsOOIv/8rUqdPw8fHD19cPd3fPBkJKJpPh39Ubmx5PY+4U2O65mpr78raXWb1iBQMHDr7v8ZoiMTGeZxcuIC27ABu/cVi4BLWYuX7P0Dg9fD8ayrWsXrkGX1//Ztt3BnFxsTz/4nPcuXMHqy6DsfQYgJa+RdOJCIKC0rxkMqNPkhFzhr59B/DN0m8xM2sc9tAR2iMkT506wXMvLETTyAlr39EYWLi1KA5ltVVk3D5Patg+grp349tvvn+gQqwtlJaWsPjttzhy9A9s/cdi7TGgRfcEgOKceNJvHqEw9QZff/UN48ZNeGCieMLE8RQpOTX5rrlfEq7txV6nhM2bfm53X0EQeObZeVwNu4PvyLdQVtVAIa/j5Lr5dB/7dpsMx5ujsiSHS1tfRldPHw1jV2x8R6JjZEtlaS5pt/4gO/Y8q1euYdiwu89kz56dLFm6Av+x7zc7Znb8FSQ5Fzh04HCH19UZiELy342YbCPy0PD396MsK7rJa7om9pja+1NVnEHXrn96rb37/jtYeT1GwNh3MbBwRUlFjfzUCOx8h7dJRALomTqiqW/O1R2L6eNjzvFjp/ji8695Zv4zZEQf71DtXmVVDYysu6CmqY9HF2+WLv2ep56aha+vf6PdOGVlZb795jvunFlDbdX9i/m4S78QFBjAgAGD7nuspjhy5BADB/WjWtOFwIlfYuXep1X7I4lUCTPHALqO/xgt+wGMGTeKTZvWP5D1KRQKfvhxGYOHDKBKw4W+s9bgGjwdbQPLZoWJRCJFz9QRj/7z6Dd7LUkFUoJ7BbJ7944HssamEASBJUs+Yu4z87APmonPiNcxtHRvVUwpq2pg5zOUnlO/JSFXoFefHkREhD2kVTcmPj6OXr2DCInOIHjad3cTQloRkQD6Zs54DXkez6Gv8Mbb7/Dc8wuRyR5MZvCC+c+Qceswclldp44rq6smI/Io8+fN71B/iUTCTz+soGsXB0L3vU9xTjzZ8VdR1za6LxEJdy19dMxcENRN8B72EvrmLiipqKFjZINn/3m49HySNxe/ieL/E5F8ff0pzIpDVlfd7JjFGZH4/w+V4RX5ZxCFpMhDY8rk6eQk36AkNxGFQk5BehTZ8VcoyUlAEATSY86ip6tFz553s7Rv3YogISEB+67j6scQFHIybp/D1mdou+Z27DoaLx9/vvxiKa6ubgB07RqAhbk52fEdy0wUBIGMyCMsmP9Mq22HDBnOYyNGcOuPpcjrajo0H0DqzaMUpVzjm6XLHshuzpEjh3h24TP4jnwLp8CJ9XGrbeWumfpwAid8yseffsr69Ws6dX0ymYwFC+ezat1mAid+hlP3Cc1aPzWHipombn1n4zX8dd565x0+/+JTHvTBjCAIfPjhe/yyYzc9Jn2FuXNQu8dQVtXAvf88HAJn8PiEsdy6FfEAVtoyiYnxjBw1HBOPEXgPfanNiWd/xdjGm6DJX3PuajgLnp1XL2w6k8GDh+Hq7EBiyM5OHff2+c109fMlOLh3642bQVVVlfXrNjH3qWlEHv6C2+c2YurQrVPWZ+bUA5VmEgitvQZTUydw+vQJ4K6pu7e3Lynhh5psX1mSQ0bMGWbPmt0paxP57yIKSZGHhpGREZ999hVXd7/LiTWzuXl8OUlhhwj5bQmn1s3nztl1rFy+ql4gXb9+DVN73wZCoa6mAkGhQEOnfUd7WgZW5OY29H2TSCR8+P77xJ5fT3lRZrvv587FrRTlpqCj07Yv02+/WYankwVhB5ZQXV7YrrkEhZy4q7uJOrsBJHD27KlOFz/x8XEsWDgf35Fv3nc1Hx1jW7qN+4BPPv2ES5cudMr6BEHguecXcvl6JN0e/xgdI5v7Gs/Iugvdn/iUjVt+Yek3X3XKGptj377dbN2+g65jP2gyi7Y9WHn2xzHoSSZPnUhpaUknrbB1qqqqmDxlIhZej2Hv39jgvz2oqGvjN+odLl2L4Pvvv+2kFf6JRCJhxU8rSYs8Sn7arU4ZMyfxOmlRp1BWbnud7OaQSqW8/PKrRN66jY+XZ6PqMh1FRV0HWW3TO4wSiQQDm65cuxZS/9my774nLeIAMee3UFNRDNz1vc2Ov8KVnW/z4guviNVtRFpFFJIiD5Xc3FzU1HXoNuoN+s9cTs+JnzBo3jrc+zwJUinFxUX1baVSaWM/OIkUaL+AEgQFEomkkfgaPvwx3n/vHW789iFl+altHEsg9vJ20qNP4zXoWZ5ZMJcbN6632k9FRYUtm7cyemgfLm17mdSbx9p09FaSk8Clne+QHX+F3tO/waXvs7zz4UdMnTa5wfO6H+RyOQuenY9913GdVhJSx8gGtz6zeXbRAioqKlrv0AobN63jzIXL+I16u0Giwv2goWNC17Hvs3LVCs6ePd0pY/6d3Nxc3njzNTwHP9dspn97sfEahJaJG++8+3anjNcWPvvsE2Qqhjh0G9cp46moaeI19GWWff8tMTFNh7zcDzY2tqxeuZYbBz6nID3qvsbKSwkn/Mgy/B97lethEezbt7tT1lhTU01dXS101o/C/3/PNYdCkCOV/vm1X1JSjKxORkFaJKc2LODUhmc5vmomMed/RklJiazsrM5Zl8h/GjHZ5hHin062yczMoEdQN3pN/66BN+Q9chKvkXplE+FhkSgpKZGQEMeAQf3oP/vPpBpBUHB0xQx6TfmyXTtSqbeOE3VmPQgyTM0smTFtBk89NQsrKwsMDLSYPXseW375GQf/0dj5Dmtyx1MQFOQlh5F04yBV5fkEjn8PTV1T0qNPk3NzLzdCb6Kk1LbdipCQq7y5+A0SEhKwcO+HkXWXu3W01bRQKGSUF2ZQkptA5p2LVBZn49htLI4BY5H+vwmyvK6GmDNrUKnN4uDvhzEwuD+BsnXrFj5b+gPdJ35eP0dnIAgCEYe/ZOJjfVm8+N0Oj5OSkky//r3pOu599M06f4ckM/YS6dd+4fKlkDbvMP+VlpJtXnjxOa7dzsdjQMfi6pqjtqqUi7+8yG97f3vgiU3x8XEMGtKf4GnfoaHTuSb4SaG/oVUdz8EHkNBx69ZNRjw2BAUSXHpMwrHr6DYbicPd3bmEa3tJvP4b/iNfw9Ten/y0W0Qf+5bQ6xHo6el3aF2CIPDjT9/zzTdfoaSmjZlzLzz6PNmhsf5K0o2DFGbdodvIVxvPqZBzfvNCftm8maCgYAD6DeiDskUwdj7DqK0qpaosHyUVdbT0LaitKuXS1hf5/beDeHv73Pfa7gcx2ebfjbgjKfLQ2Lr1ZyxdejYpIgFMHQKQS1Q5c+YkAE5OLnTv3oO4Sz/X7yRKJFJsPAeSEtE+n7iUiCN4DZjPoPmbsO/1DLv+uExAdx9ef+M1ZDIZ8YlJ2PuNpKaiiDObnufa/s9ICjtIevQZUm8dJ/bydk5veJaoMxswdehG76lf1RupW3n0p1Yu5dSp421eT2BgD159+VWkUimy2ioSbxzg/C+vcmzlU5xcO5/Ik6spzU3Cwe8xBs1bh3Pg4w0EnpKKGl0GP4dcw5onn55xX3FmgiCwYuUKbLuO71QRCXeP0+y7PcHGTRuora3t8DhvvvUGNj7DH4iIBLB0DUbdyJGvv/6yU8ctLi7it992Y9dJu3h/RVVDFyuvIaxes7rTx/4769avwcpjQKeLSABbnxHcirzJnTvNV2LpKMtX/IR919EET/6czDsXuLjjbXISryEo5C32u3e8e3Hb6+QmhdJr2leY2t8V68Y23uhZuPHrr1s7tCZBEHjjzVdZvmotgRM/x6PfXHISrnZKqEpW7HlqKwqa9MdNvL4XC3NTevS4Wy721q2bpKWlYdNlIHD335OeqWN90pqaph5WnoPYsHHdfa9L5L+NuCP5CPFP70jOmTuL5AoT7HyHN9vm1vEfmTisO2+88TaCIHDq1EleeHEhMtSw6zoOfXNX8tMiiTm3gYGzV6Ompd/qvPmptwg78i2D5q5pkH1cXVFE5B9LcXc05/KVK/SfvRYVNU1qq8pIjzlNaV4yddUVKCmroKKui4VLT4xsvJo8OkoOO4SBIpE9u/YBUFlZSXFxERKJBENDo0aZ3AUFBQQFB+A+8HlM7Pza9gCbQCGvI2Tnm7z64kLmzL674yUIAunpaUREhBMdHUlxcQlSJSmmJqb4+Pji6+vXYAczNPQak6ZOps/M1Z0uJO9xbdebfPrB24wZM77dfVNTU+jVJ4j+s9d02pF2U5Tlp3J973tERd5BU7N9/oPN7UiuX7+aFZt24ztycWcvF4Cqsjwu/vIiUZGxHdpJbQvV1dV4eDrT/YnP0Da0br1DB7h9biN9fMz48oulnTZmUVEhPr4e9H7yRzR0jFEo5KTeOkZy+GHkdTWYOnRDz8wJbUNrlJRUkMtqKS9MpzgnntzE66io6+DgPxKbLgMb7WLmJoeReX0LodfC698HtbW1FBUVUl5ehpaWNoaGRqiqqjZa11dff8GGLVsJePwTVDV0ERRyTm9ciM+Q5zC29e7w/Zblp3J933tYWVpTWiPFymsEOsZ2lBWkkRy6l7ryXL766hvGj38CiUTCzz9v5LOvv8eiyxDUNA0wdeiKknLD9WbHX0XIPseRg0c6vK7OQNyR/HcjVrYReWhoa2tTW9CymK0sK2LZsm85d+ECubk5FBQWYWTpTlVFCTePr0BNTR1LK2u6B3Qn/OCn+I95r8XM0dK8ZG4cWorXoPmNLGzUtQzwH/M+57Y8h5lTUL15saqGDo5dx7Tr3qw8+3NyzRbmPzOXsPAw0lOTUFFTB0Ggrq4GB0dX+vXty+xZc3FxcWXZ999gYON3XyISQKqkgvvAhSz59BPGjhnPkSOHWLV6FWlpKRhZuqBuYIeSqiYIIKtKYO3mbRTmJNOzZx8WPPMMAwcO4eLFC5jYBzwwEQmgbxvAmbNnGwjJiooKSkqKmxXb99i4aT1Wbr0fqIiEuwlCeiZ2/PbbHqZNu/9jRoAz586jb/Pgqg9p6Jiga2RFeHgYffr0a3f/mpoabt4M5+bNcBKTkqipqUVXVwdPD0/8/Lri5ORMZORN1DT1HpiIBDB2CODsuY7t8DXH1atXMDJ3qt9FlUqVsPcdgZ3PcAozoilMjyIn4RpJob+jkMuQKimjZWCJvrkz3Ua9jn4L/p4mdr7cPJJLenoapaWlrF23hr17dyIIEtTUNamprgQUjB8/kXlz59cfDWdmZvDjj9/Ra/qy+veWRKqErc8wUiKO3JeQTI88yvRpT/LO2++xe/cO1m3YQPTpRGprqjA0d8LQ2pvF777Hx0s+xs7WjuvXQ9AxcaQo4zYVxVncPL4ce98RuPScXP8uqK0uw0Drwf7difzvIwpJkYfGmNGjOfriKzgHPtHkC7qmsoTCjGh6T1tKatQJMjIj6DX1S7QNLAGoKivg9plVWFnq8eu2Hbz+xqsc2b0Y266PY+nau0GFm5rKYtIiT5Jw/Tc8+jyFpWuvJtekpKKGrpkr2sb2Hb6vsoI0bh5fgUSqTHSWgFXgLDxGOtTHddZWl1Oam8jZ8OtsGzKAgIBAQkNDCJiwpMNz/hV9M2fUtIzoERSArok95p5jGPhY92aFYV1NBRnRp3nupVexsTRFR1cXLWO3TllLc+iZOhF6Yz+XL19ky89bCLkWQkZ6Cqpq6nfXVFuNg6MrvYJ78fRTM/Hy+vML9eChQ1h2n/lA13cPY+c+7D9woNOEZEREGM79+3bKWPeoqSwhPzWCkpx4KkvzqKys5JMlHzFl8lSCg3vj7u7R6hgZGemsWbuKX37Zgoq6DrpmTqhqWyBVUkZeW8T+oxcozIrDwtwSby9PdIwdOvUe/o6eqSPXkuOpqqpCQ6Nt/rCtER4ehoZR43VLJBKMrLvcV1KZRCLFwNyJCRPHkZubh3WXQfSc+i1a+n8a3FeW5HAj8hhjxo7CydmZFT+tZM/eXVi6BjcK77H1Gszpa/vISQjBrANFCwozYsi6c445Kz9FQ0ODJ5+cyeUrVygoraHL4BfQMrAA7sZ5Z8dfJeSP7/EZshAr9z//bZbmJRN5ajVlB1PpNup1JFIl8uPOMeclsTyiSMuIR9uPEP/00bZCoaB3355IDbvg0nN6AzEpl9USevAr1DT08B32PACxl7eTn3aL4EmfNmh3dcdr/PDN1wwZMpyDB/fz04oV3LkdjYmdNzK5hOrKUoqzYzF16IZj1zEYWLYskkIPfo2JnR+23kPafU9JYQe5c2kbLj0m4eA/slXjblldNfFXdpAUdgjfYS80qrnbXhQKOZGn1pAdfwXfIYva9SWkUMhJDv2NO5d3YO8/ulOC/ZujqiyPMxsXoq1rhIXHIAxtvNEzcagX/3XV5ZTkJlGYGkZG9Ck8PDxZ9t33WFpa4eJqy5Bnf0FZRf2Bre8epXnJRP/xBdFRse3q19TRtlwux8LCgOHPb++UtZcXZRB3eSfZCVcxsHRD39wVLX1zJBIpNRXFVBUlk5cSgZOTM6++/CojRoxsNIZCoWDjpnV88snHmLv0xNp7OLomTYtEhUL+/zt2e6kozSdg9FsYWLje9300x/lNz/Dbnr3k5ORw9eoVroWGkpKSTG1tDWpq6jg5OREYEEBQUDDBwb1b9VGdOesp0mossPMZ9kDWe/P4cqrK8gkYs7jRkfBfkctqSQk/RGr4fiQC+Ix6u8nnmJ96i9ADX9Bt9Fvt2pkszokn7PdP+WHZD4wePRaA8PAbjH9iPL1n/NiktVBm7EViL2+n31M/NHwP19Vwaec7d+MmBYGc6INcuxrW7lCPzkY82v53I+5Iijw0pFIpu3bsYdz4MVzYGoqd30g0tI0ozU8h5eZRtPQt8Br4Z2arU8B4ksIOUZqfgq6xHQBKyqpYeg5j3YYNDB06gtGjxzF69Dhu347h8uULLH77TboMmI//iJfabLWirKqJrLaq3fcTd2UnqZEn2pVBrqyijnufpzF1DOT6758jl9XWB7u3F4VCTtihb6ipLKb/0z+1qbrIX5FKlXDsPgFj+65c3fMR6toGONynP2BzKCmr3f0h8dTyJrNmVdS1Mbb1xtjWG6egKaSEH2LI0AFMnTINAxPrhyIiAbSNbCgpLiIvL+++yxDeSy5qSWS0BUEQSLrxO7FXdmDvN5IBs1Y0+29bLqsjK/Yiz7/8Er12bmfZt9/Xx8PW1NQwZ+5MQm/G0G38h+iZOrY4r1SqhIVLEObOPUi9dZyQvR/j0ffpDv3gagsCUsZPGIuSqjYG1j5oG3tjGzwMJWVV5HU1FBams/t4OKvXb0RbU40F8xfw9NOzmw2JqK6pue9n3xJKKuoYWLi1OoeSsiqOAeNR1zUj4o9lzVbkMrb1xm/Ey4Qe+ALXnlOx9R7S4JTl78hldWTePkfsxU18/eXSehEJsHnLJqw8hzTrT2nhHETMuU0UZd3B0NL9L/ekhmvPKUQc/R5dbS327f39HxeRIv9+RCEp8lCxsrLm8KE/8PJyJevORWS1lajrGOM9cD7Gdr5IJH8aCSipqGHp2ouc+Kv1QhJA18yJlGvnGozr7u6BsrIy2joG2LWz6o22oRWFmTE4dmt7XGRW7CVSbh4leMrn9dnb7cHQyoMeEz7kyq730TawanXXtClizm2muqKQHhM+vC+hpWviQM9Jn3Jp59to6pp26GitNe7GoKm0yXrl3hevqWN3tu96vz60oTORy+rITw2nOCuOktwEaiqKEAQFyqqaSFVU2bJlI9OnP4m5uUWH57iXaCGX1Xb4/x9BUHDrxCqKMm8TPPnzBn8HTaGkrIK1Z3/MnAKJObeeYSOGcPD3IxgZGTFz1pPEJOcR+MTnLQqUv3O3WtFQDCxcubrnQyRSKTZdOr88Z01NNW69pmPTZVCTu413/0YG3bXhSolg+fptbNi0gVUrVuPn92ccqiAIhIZeIzM9leySRNKjTwMSNHSM0TNzwtjOF20Dq/ter0Jeh1Sp7ULV0jWYqtJcwv9YRu9pS5u8RzPHAHo88REx5zYTe/lXrLsMxM5nGFoGVvU+uFWluaRHHScj+iQO9g5s+2U7vXr1aTBOfGISOsY9ml2LRKqErokDlcXZDYQkgKm9P1KJhO2/7sLNzb2ZEURE/kQUkiIPndraWtQ0NOkx4YNW26pq6FJXW9ngs5qKoiYzVGUyGfIO2OBYe/Yn9tKvVJcXtmkXs6ayhFunVuM/4pUOich76Jk64tH3aSKO/Uif6d+068u9ID2K9OjT9Hvq+07ZrdM2tMJv2AtEHPuJfpYe7d7dbI2K4qx2PyttQ2ucAieRcftc643bSE1lCUk3fif11gk0dIwwtPbC0r0vGjrGSCQS6moqKMlNZOveYyz7/hv69x/MC8+/QPfuDb+UZTIZx48f5cKF84SGhVFSUoyamhpOTk5079aNMWPGY2lphZmFDeWF6R22LYq9vIPi7Dh6Tv4M1XZUP1FR06TL4Oe4c34jT0wcz4THH+dmTCIBj3/Srn9nf0XXxJ7Ax9/n8q530Td3ve/KQn9FLqultqoMC5eerR5ZSyRSTO39MbHzI/XWMcaOH80nHy3hySdnsmvXdr5d9h35BYUYWHlj4+mCmpY+ggCVJdkUZsRw++Iv6Js549JjEkY2Xh1ec1l+GiZ27fPvdPAfRWLofoqz45oNE9A3c6bnxE8oK0gjJeIPLmx7A3ldNcqqGnfrYgsCY8ZNYMWS/fj4+DU5hp6uLpmVxS2upaaiGGW1xruNEqkSWroGyOUPpg66yH8PUUiKPHT09Q2Q1dZQW1Xaaq3eytJcdE3sG3yWG3uGZ558ov6/8/Ly+PmXTaxdt5bK8mJktVXNHh81hZqmPgaWbqTeOoprz6mttk+4vg9T+66Y2Pm2eY7msPEaTEbMWdKiTmLv91ib+ggKOTePL6fLgLmdVikFwNShG6b2Xbl94Wd8hizstHHhbnUePTOndvdT1zbstFKQmbEXiTy5BhN7fwIff69ZcWfm2B24KzpTo04yacpEJj4xiQ/e/wgNDQ02blzH0m+/RqqijYFtN3Qs+mHmpIdCLiOpMI2bO47y6WdLGDBgMG5ubhTlJHRISBZnx5McdpA+T37XLhF5D4lEglufmYTu+4Cvvv6S4Klfd1hE3kPP1BHn7k8QcfRHek39osEJwv1QmpeMhq5JuzLz7+6UDsPAwo33P/qQVWtWU1hcjmPQNNwdm082k9VWkR5zhtCDX2Hh2hvPvk+3+7kICjmleYnt/jctVVLG1nsoKRFHWo031TGywWvgPLoMmIOstgpZbSWCQsGp9c9w6tQJDh7Yh5qaBo5OrsyfO5exYx+vT1SaOGEC73z0GXa+I5oU5mUFaVQUZWJi2/gdJpfVUlFagJFR53uGivw3EQ3JRR46WlpaDBw0jLSoky22q60uJzv+CpZuf2Zcp4QfpqowhcmT7wq+a9euEtyrO7/+fg63gS9gZO3VoR0sZSUpKeGHKC/MaLGdvK6GtMiTOHYb22K7tiKRSHDsNobkiCNtFky5yTeQSpUbZFx2Fq7BU8m4fY7aqtJOHTc/NQIDy/Yfk2kZWFFRlHlfYlJQyLl1YhUx5zbTdeSr+I94qU3CTk1TD6fuj9Nz2necvHyLPv2CGTpsEN/8uBK3gS8SOHkprsHTsHAJwtDKA2Nbb+z9HsN72Mv0m7WKxEIVrly6QEFK6+UzmyL67Hrcek2/r11viUSKx8BFyBWKTrNPcgwYS111OXkpEZ0yHtz99/H3I9a2oqyqgUKQUqdpR48pSzF3DmrRykpZVQN73xH0e+oHKkuyubrv47s7fe0gNzkMdR1j1LXbXzfd1nsoWbGX2hyXLZFIUVHTQkPHhLzkMLSNbAh4/DMGzdtAz2nfoWLdny++W0kXL1d+2boFgMceG42mikD8lV8b/e3UVpUSduQ7HLqNblJAZ8VewtXVHVvblsMoRETuIQpJkYdOZmYGeno6JITs5eKOt0m4/hu1VQ0zygVBQeTJ1WjqGJOfepOwI99xat1cEkJ2MG3qNABu3LjOxEkTcOo9B+9hL2No5Ym93wiSww+3S3hUlxdSlBXLSy+8RPiBJVQUN19ftiA9Ek0900a7pPeDqUM3aqtKKS9Mb1P7lIg/sPMd3uoRYEfQ0DHGxM6PtKhTnTZmZUkOhRnRHcpQ1zKwQCGvpbo8v0NzC4KCm8dXUJKbQJ/p32Bs2/5Sb+paBviMeAN1iwBux8biM+J1DK08W3z+qhq6uPZ6Er9Rb5CdGEZVWV675izNS6KsIB0br8HtXu/f0dI3x8KlJ6m32l55qSWkUiXs/IaTEt45JQ0FhZzUm8c6dK91NZVc2f0Bdr7D8R74TLuSa9S09Ok+9m1UNXQJO/RNu94ZyeGHsW9mt681NHSMUFbTpLqisF39BEEgOeII7r1moGVggaqGLho6xli596Hr+I/xHfUOH3z0EcuWfUttbS1PzphBZsxJTq2bw/XfvyDl1jGiz67n1Ppn0Dd3waXHxEZzVFcUcfvCFsEW4W0AAOEJSURBVEyNjUlMjG/3vYk8mohCUuShcvjwQYJ7BXL9Tj7eQxbh4PcYhelRnNm0iKKsu5YrxdnxRBz6CnV5LoFduxB1ag3VpTnYdx2DQ/eJ7Dt6CS9vdyY8MQ63vnMaeESaOnZHEBTEh+xu03oUchkxp5YzcdIUXn31DZ5b+Cwhu98mLeoU8rqaRu2Lc+LRN+9cz0WJVAl9MxdKclp/cSvkMvJTb2HhGtypa/grFq69yE8J77TxEkN/x7KDhuISiRR9c1cK0iI7NHdy2GGKs+Po8fgH9xX3KZFIcO81Hesugwk7/F2rJfbuYWrfFVOHAOKu7GrXfJl3LmLl3rfTso5tugwmM/ZCp4wFYOXel7yUcBSdEEeXGXsJZVUNDK0829035twm9MycmhRFbUGqpIz/8JcoL8ps9YTkHnnJYZTmJmLl0b9Dc8Jd9wZZTfucIvJTI6irqcDUMaDJ6wYWrnSfsIRlPyzD3cOR9dv2YeM3Fsduj6OQVRN9eh1makV4eHhQW5pFYUZMvXhWyOvulpDc9jr6Fu4kFykzYGBftmzZ2OF7FHl0EGMkRR4aiYkJLFz0DH6jFjf40rB0601GzFmu7H4PHV0DUMh4+umZdPXvxrOLFtB93HsNg+L9R3Hn0q/kpYRh5dGwmodUqkTguHe5uH0xgkKBS9DEZuO4ZLVVRB79FjtzLb7+8msAXnj+JTw9PPh66VLOXtiEVZdBGNn6o6KufVfEpUQ0mrMz0DWxo6yg9R3J8sI0VDV1UdPU7/Q13EPPzInIU2sQBOG+dz0LM2+TcfscfZ9c1uExrLsMJCXiCNaeA9rVr6IoizuXtxE86dNmbVDai3vvGVz89U0SbxzAKWBcm/p4DZzPmU3PYeXRr80m2CU58Vh3Yma0voULFUVZ7Y4fbg41TX3UNPUpK0ht1UaoJWqrSok6sw7/ES+3+99aSW4iWXGX6T/zpw7PD3fdIfyGPU/Ib59i6da7xeS1upoKIo4vx2vQM/WVsDpCbXU5tON+y4syCTvyHV4D57d4bK+pZ4bHgAXEnN+M/5gP6p+pQ9dRlOQmEnbgUz77ZAnZOdmsW7ec6Do5ckGJ6soStPQtce/zNFbudzPALbsM4YOPPsDTswsBAZ3v5CDy30HckRR5aKxbvwZL935N7jxYefTD1NqDp6ZPJfLWbd5e/B6fff4Zrn1mN8qsFASBnIQQnLqNa3IeTT0zek39guz4K5ze8CwJ1/ZRU1mMIAgIgoKygjSiz6zl7Ib5dPOy4+Txow286AYPHsbRP45z+NBRerjpUxi5i/jTy0i7vAZFdQFKD8DTUElFHYWs8Q7o3ykrSEP3PqrwtAUtfXPkshpqK0vua5zaqjIi/vgBz34z0dBpfyzZPSxcgqkoyqIkJ6Fd/WLOb8bBf3SzhtsdQSpVwm/YC8Rd2dHmOFJ1bUO6DJzHjUNLqa4oalOf8qKMTs2KVlZRR0PHqMWwjfaibWTTakxxSwgKORHHfsLcKbBDpUJTIo5g6z0UNU29Dq/hHgaW7uia2JN5+3yzbWR11VzZ/QGGlh5YuPTs8Fw1lSXI66qIObWC6vLWj7eLsmK5vONtnAOfaLZC118xc+qOQl5HUWZMg8/1TB3xGvIinyz5mOefe4mI8CheefFFlCQKek35kj7Tv64XkQC6xnbY+o7ip+X3J9RF/vuIO5IiD40zZ89h7DOl2evGTj2JjUugtraGsLBQMrIy6Tus8YuzvDCd6vLCFv0ONXVN6TPjWwrSbpEccYTbF34GiRRBUKCkrIqxsTEnjp/Gw8MddXV1qqoqGo3h6dmFb7/5vsFnT898kvTa9gXmtwV5XTXSNhxjyutqOmVHqSUkEundo7e6KtTQ79AYtVVlhOz7GEPrLlh7dsxw/R5Kyio4BYzj1snV9JryeZu8KKvK8shLCcdnyKL7mrspdIxtMbb1JS3qVJt3Ja09+pMRc44rO98maOKnrWbbK+Sy/2PvrOOjuLr//97dbNzdnSSEKO7uFClQCoUWp0oLVdpSN+pQhRq0OMWlQHAnBEICSUhC3F03sjq/P1JSQmw35enz/L7N+x9ezNy5c2cyO3Puued8DmK9tqsk6YpYT/++LEXfQaKnj0at7NCxgkZN7LFvkddUED5ueYeOz0s6z6A5X3To/C3hHjSSrLjjLQqu11YWEhexGmOJAjObv1dzPCf+BKNGj8PL04v165/GqUtfXLqNaVLb+6+qQvuoKs0kaPjjuGq5EiIWS3APGkV2/Mlmk3Ybt2BSJEacOnWckSPHkJ2Tjb3fkFavycG3Hxf3tS/T1sm/m05DspP/CRoEom+Qlh+Pj48rgiBg4xKIWNL8EZXXlGFkbt/ivrsRiUTYuodg6x6CoFGjlNciEkuoLski98ovdOmie7m3oKBuJJ+4ofNxrVGQeoWitKsUZ8W26mG9G5FYjEbzn9V306hVqBS1pFzZjWfoWJ0lTsrzk4k5sgZrl66EjHziviQFefWYRE7CaaL/+AJH377YeYS2KR2VHXcSJ7/+910P8w4eoeOIO7kO7x6TKc9LpKYiHyMzW2zcgloMpRCJRISMepqzvz7N5e0v0XXYE40yQy2hJzVCJa9tdX97qBR1FGVcR6OSY+0SiLGFA8r6mvs6CVHKZe3+Bu+lujSb4oxoshNOIZFI6T31rQ6NSVaeh0TPAGMLx/Ybt0ND3HEs9TXlVOTfRhA0jX/DBpWGY6Re2c6SRY8zdOhw5i6Yj0/v6W0uMbeGoFGTn3CMD3/6iQEDBvHUk0/z28YN/LL+S5RKNcZmlmg0amSVpZiamiKWWjFy8c863yMzG7dmHkloeA7NHXxJS9PNu99JJ23RaUh28o8xdMhgTkdHNqsjq1bKidz9Lhq1gm4jl2LnEUZBWhSpV3a12I9Go0Es1i0qQySWNBoVIomYGlkVX3zxCZVVlZiYGGJsZMrAgUOaVMhoifCwcH7b2vK4dKG2spCLO15HWVeNlUtXJHoGJJz5hYqC24SNfbbV4/SNLKgpz/vb52+N4sxYYo6sxtDUhvrqYi7vegtjC0d6TX6tXS9aXXUJmdcPkHb9DwKHLLhvmeWCRk3C6V+oqcxHz8CYzBtHuHHsW3x6PkiXvjNaPEdZbsJ/rJQfgI1bELWVxZz97TlUijosHHyoLs1C0GjoPuFFLB2bywsZmdlgaGTMWytXsurjVRQmn8UtdCKWjl2aXYOZnQeVRelYOnbReWwZMX+QeH4T5naeSA1MiDv5A3Ye4SjqqjGx7HilnnupLskkK3oPBsaW2LgFt/m3VtbLiP7jc8rzkrBw8EWEiJqKAkoyYzqUzV9dmo2Zncfffr5KsmK5fngN+kbmGFs6IJKIObf5RbzCJlBTlknerdMEdA3kwL5DhISEIQgC9rbW5MQdx70DNbxzEk5jaW5K//4N1+zo6MTLL73K8mUvkpmZhkYjp7ZWiYWFFfv372Hb4agOGdoiiR6aVhLC1IpaDA0b+hw0cDB7D76G0G9mi/eyMOVS41g76aQ1Og3JTv4xFi1cwpYtg7H37d9kySXhzHr0DIzpOendxlm+rVswsUfWUFtZiLGFQ5N+9A1NG2MedfmQKOqqyI47QVr0ASR6evx+LBax1BjQoK6v5ovVa3Bzc+PJx59oIu57N/37D6KqNJfqkizMbN07diOAC9tfw8YlkNDRzzRquZXmxHNl97vIilNx9B+Chb0XUkMzNBoVNWW5VBenUJB8gbq6GtQqJZL7vPQpK88l+uAnhI19DnvvXohEIjRqJfFn1nNu03J8ek3H0tEXUxu3P5c1VdSU51JZmEpl7g2KMmIYP2ESsjwnLOy97ps8UfKlbVQUJDNi4Q8YmFgCDYZ45O53MDC2wCN0bJP2giA0CKCPfOK+nL8lBLUKsZ4eLl2H4tNzMiKxBEEQyIk/yZU97zJk7tfNYvdEIhGGJhYEB4dy6eIVvl/7Lb/++hl6huaYO3XD1M4bEwsHRGI99A3NKM6M0bncZ0HKZW5H7qT/wx82SlQp5TVcO/AJBsYWOnsQW6OuuhTUSp59cjHfr/ue22oRNt79sXDwbTRgBUFDXVUxlUWppET+jrm9N6MeX9/4vJflJhC17yMMzWx11pDUqOToSf+ed1VWnsu1A58QOvY5HO563hPObiD5wq/Mmf0ocz6PoGvXv95VIpGItd+vY/KUBzA0t8feU/vKNiVZsdy+sIHdu/Y1+W0oFApiY68TH3+D0tIi6uoUODg4UlVVhUJW2qFrq5eVtuiNV9TLKEiLZtiwtQiCgKmpGXWyck78tBipgQnWLt3wDB2Lma07VSWZZMUc4PMdf3/i3Mn/bToNyU7+Mby9ffju23U89fTjOPj0wdqjJ4r6arLjTzBs/ndNloqkBia4dB1CwtkN9JjwYpO4OHM7L9RKRZtlxu6lICWSmKNrsHUPJXzc8j+XIJsaOgFDFlKQEsmqL7/nvQ/e5fftuwkM/CvLVhAEVn38IWqNQOrVvW16DtsiP/kiKnktoWOWNpF3sXHtRpe+M8iPP0K4u4iY2H1UV1ehp6eHt7cPY0f3YPRnrzFv/lzK8251SBOxLTKuH8ItaEST2FOxRErQsEWUZ13HUnWbnMgz5GSlo9GoEYlEODq7ERoSxsxHJzNt2masrW146pknudlBAfJ7USvlZMT8wYBZHzcakdCQUBU84gliI77FPWR0k+VkpbwGlbLuvix7tkZe8nnMrF3x7T21cZtIJMItaATFmdfJjjuGb+/pzY5TKxVIpfpYWlrx6oqVvPjCK5w+fYKrV6O4cvUaecm5qFQqpFIpuRlpyGsrdMrQT43aQ9fBc5vonEoNTAgf/zwnflpMfU05hiZWf+fSAchLPM2IkWN48slnePzxpzh16jhHIyK4Fn2YuKOJ1NXVIBZLsLK2xcvbB5VcRtiY55oIYFu7BOLbexppV/diPWmFTucX6+mj1lFE/F4yrv+Ba7fhON7zvHcbupCq3BuMGD6iiRF5h5CQMB6ZNZuf139E0LDFuAWNaLPCjyBoyI4/RdzJdfTs3pOgoIbfbXl5Gd99/w2//roBsdQQCwdfJEYN1WTUdTFUFqZSUZqP5OQPdOk7Q6fnICf+FF7hE+4Zh0DSud+wtrHl9OmTHDt+nEuRkbiHTcLaNQhBoyL/9iUubFuBua07dRU5vP/eh50Z2520S6ch2ck/yvjxD3DxwhU2/PoL5y+co76iDFsXP4zM7Zq17TpoLpG73ubKnvfp0ncGVs4BiEQiqkuzMDQxJz16P1YTXqReVkbWzWPkJZ9HUVuFRGqAnUcYnmHjMLfzIjv+BAlnNtBr0mtt1tYVS6Q4+w/E2X8gWTeP8sDEsezYvqvxRfrW22/w+5799HnoAyJ3vklJ1s1my/TaUJB6BVv34BY1Ah18epNy5XfWrP661eMfe/QxNu05dt8NyfL8ZLoOeqzZdpFIjJ1XL4YMDmH58pcRBAG1Wo1EImnR6zh/7jxmzp6FT69pf9sDJivPRWpohql182QAG7dg6mWlZMQexT1oZKOHVqNWIpZI/yOC7Xcoz0/GsZXMXXuvHuTfvtRsu0pRR1VFET4+fy17S6VSRo0ay6hRY5u1X7R4AQlROwkYskirMQmCQHnBbXp79Wi2z8DYAgt7HyoLUzFsRYdQW9QqJXnxEaxavwEAsVjMiBGjGTHiL+/p3asFmzb9ylc1kharqNh79SA9+oDOYzCzdqOqJLNjF/An5fnJBAyc02y7SCTGyi2c6OirDB/eXCR906Zf2bpjB6Gjl5J8aRspV3biEToOt27Dm8TtKuoaJsmZsUcQicX0nvIGmdG7WLh4Po/MfITlzz+HmUMAQeNWtBgKAQ3C9KlX93Lm1+cIGrEEZ78ByMpzyYw9SmFaFCp5LVIDExx9++AROhZjCwcqClOQlWZhYGrT+HeoLErj9uUdVBTcxj1kDG+99z56hhb0e2R1k6Vza5dAvMIf4PKO13jh+Zd49NF5f+sed/LvoNOQ7OQfx9nZhddefQOALVs2svrHbS2209M3ou/0d0m7to+ove8hFouRSqWIRTBlylS2b99K0qVtpF3di6NvH4KGLcHI3BaVvJa85Atc3vkWFo5dKM9NpN+M93TSu3MPHoOevgmzHnmYiKMnSE9PZdPmTfSd+RmGptYEDV9CzNE1DJi5CiMz3WrSSg1NqSlvWTZFXlOBpB3ja/bsx/j880/wrsi/rzFvevpGyGsrWtynlldiZvZnjKlIhJ5e62Ps2bM3ri4uZMdF4BHaUD9cKa8lL+kcpTnxVBWlIa8pR0DAwMgSCwdvrF0CcQ4Y3KymtJ7UCGW9rNE4vBulvAaxCITCSM5G7cDRbyDmDn6YWDqjUSmaJE3cb/T0jZDLWpbykddWthjXVp6XiIeHD8bGTfUH8/Pz2L9/D1euXiMxMRGFQo6JiSm+Pj7k3jqNrVcfrSYsIpEIPX1D5LWVzXQzBUFAXlN+X5Jt0qJ+J8Dfj759WxfFv9uINzMzQ1HXspSUvLaiQ2MytXZBpahrMfRFW6QGrT/vKnklpqbNtUeTk5N4feVr9Jr2LuZ2Xjj7D6Q0+wYZMYdJvrgVAxNL9PSNUCnqkNdUYOsRRvDIJ7F1D24Q13fqwqVtL3Pq1AlCxz6PQztGvbmdF+HjllOSdYPoP74k88bRBo3RrkMJH7ccfSNz5LUV5CSc4uzGZXj3mEJFTgy9evUi+dTXXKuuRgDEYj3cgkYRMvoZBI2K1KjdDJuxqsV7b2zhQNCoZ1j/63qeeeY5nePRO/n30WlIdvJfxd3dg6ri9FbjHSVSA3z7TKcg8SSfrvqY0NBQXFxc0dfXp76ujj379jFg5qpmJQstHHzw6TWVyzvfxNKpS4dEk539ByIrzeT1la8SeyOGgKFLGhNOnP0HUl2SxaUdK+k99Q1MrVy07te311RO/LSkIY7vroxoQRBIjdpNrx7NPUp3Y2try1NPLWXrnu/pPuXt+2Ys2Xv1ICVqN05+A5qEGdRWFlKQGsXkyT9p1Y9IJOKr1V8xacoDWLl0IzvuBNlxx7FyDsDeqwdeYeMxNGvwQNfLSqksSqU44zq3zv2Ga+AwAgbMbjSETKycMDCxIifhdLPkmcyYQwwdNoqtW7Zz82Yse/fuIeraVWLOxSASS6gpz8fUWvu/iy64+A/i0u9v0KXvQ028UCplPZk3jhI0rLkXsSDxJHNmzvpr/JkZrHzjdU6fOo5Tl96Y2HXBJvhhJFIDVPIakovTMbZwIGrfB/Sb8b5W9cFd/AeTFr2fkJFPNtlelH4NRV0lZtZ/T5uyNCeejOsHuXA+UmuP74gRo3lu2dKGqlB3XYMgCKRHH8D5Lu1CbRGJJTj59Sc77gT+Ax7R+XgAZ/9BZFw/hLPfgCae89rKQgpSopg0aW2zY5559mm8ek5t1CZtUIYIxdY9FEVdFfWyMlSKWvT0jTA0tWmmLKAnNSRkzDIu7Vip0zvJ1j0EJ79+FKdfY8hjXzfRZTWxdMTaOQDfXlO5uP01nB2s2bVzH+fPn2Xh4kWET1qJqbVL40Qs/fpB7DzD20yes/MIJfmsgqtXo+jdu4/W4+zk34lI0KXAaCf/X1NcXN1+o38YjUZDSFg3PPstxN6r5YzpwtQr3Dz2NdevxWJj0+D9q6urIyjYn5DxK9qMxVPUyziz4Rl6TVnZ6vJRWyjqqjj540JsnLvQa/qHTfYJgkDatX3cjtyBX79ZeIaNb1cSRK2UkxK5g7RrBxBJ9PAfMBt7r+7Uy8pIjdpNVWESly9G4ezctgGkUCgYNLg/+s596NJ7ms7XdS8ajZrrBz5AU1uE2MgW9/AHMbF0pDQ7jvSoHbz84rM89eRzqFQarft89rmn2blrJ7buoXQdPLdd72ldVTGJFzZRmh1H2NhnsXUPRVaeR+SOFWjUKjzCH8DJbxCCRkVuwklK0i5y+FAEvr5NM5sFQWDyg5OQW3T/j1Qhgobl3aPfzsbYwh6/fjOxdOxCdUkmyZd/x9jCju4TXmxi4FcWpXFtz1tcjYrF1taWTZt+ZeUbr+MaPBrP8EltShmlXdtH0sWtBA6Zj3vw6DYNuHpZGRe2rcDatRteYePRMzCmMCWSzOi9hIWHkZpZTOjE15t5frWhLPcWV/a+j1RPjycef4JXV7yu9bHbt2/m1ddfw7PHdOy8uiOvKSft2n5qKvIJGr7kz5KTwp9hDG5aJZJVFKRwZc97DJ3/bYeuR61ScmX3OyAS4dt7esPznhNHWuQ2hg0ZzJDBQzAxMcHJyZnevfty40YM02ZMZ/C8tc2847py/fBqTCwd8evXuq7u3dRWFXHm12cZOu9rjMyahwHdQVaex6WtL3A9Op5ly58lp84G754PNmlz69xGRCIIGPhom+eMPfg+b7/yHBMnTtZqjP9J7Oz+MzJendwfOj2SnfxXqa2tQRA0xBz+kr4PvdfMs1hZlEbssW+xtPPm4VkP8cfBo+jr67N//x5MrV3bTejQNzTFPXgUmbGHsXRcqvP49I3M0Te2wimwuZSMSCTCp+cU7DzCuHHsW9Ku7sU9eDR2nuGY23o0xoSpFHVUFqVRmBZFdtxxBI2a06fPc+zYUb7+9hsSz/2KWKJH9/Aw1u6ObNeIvIP6zyUqfUNTPDogRXIHjUbN9cNfUlmYypXLUWzbtpXfNm2kvLwUP78Avv1qNXPmzKS8vLloe2ucPHmc/fv3EjTiCVwCBmvlvTIytyN83HIKUi5z7cCnePecQm7cEV556RWGDx/J6jVfcnL/O0gkEsaNG8+ydadxd/do1o9IJGLEsGFs2nvyP2ZIlmTFYGzpiG+vB0mLPkBNeR5GZra4B4/CPWRMEyNSrZRz68Q3vPHGW9ja2rJ69Rd8/d13dJ/yplZeRu8ek7F2CeTawU/JjD2Cb5/pOPr0aRZ/KggC9bIy7FwDyE+5THXeDRAE+vbtz5e79hIaGs4TTy7hyIZnCB//vNYxthqNmtSo3aRe3UPo6KVYOvqy/te3MDMz5Zmnn9Oqj9mzHyUw0I933v2I85s2glgPsZ4BitoKYo6sbkwkkddWIq8pw8zWA6cuA3ALGtFq5RpLR1/svbqTcPpnwsZqN467kehJ6T31TdKj9xN96FNEghqJnj4isYiYxBxupu5Co5ZTVZKDgZ4IJycHHHwH/G0jEsAjdCzX//hca0My60YEzv4D2zQiAUytnHH07snmzb9x7VoUQRNWNmsjNTRBVprd7jnrq0uxtLTUanyd/LvpNCQ7+a+yefNG9M2c8Q/uzYVtK7DzCMPeqweCIFCUfpWSrBsEDVuMa+BQona9xv79e5g+/WH+OHwYG+/WY7TuxjlgMJd/f6ND4xM0auprK7B1D221jbmdJwNmfUJFfhJZN48Rc3g1tVVFSA2MEQQBlaIOUytnrF2D6PfQ+8RHfEFVVSXPPPMczzyj+wcQ4NNPV6EUm9N/xlIid79LdWk2AQPntFknuCVqq4qIPfo1gkaNqbULGzas5+WXX+XZZ/+qNqKnp9vS+a1bCSxYOJfgsS90qPSdo29f9I0tidz5Ji88/yJPPdUwAVj7/Q9a9zFr1hw++/xjutynLOV7yYg5jGfoWFwDh+EaOKwh0SUvkeKMaOJP/YigUSM1MMXMxp3ClLOEBfkzf94iDh7cz9fffkPPae9jYql9VrmlYxeGzvuW5ItbuBnxLTeEr7Bz8cXI3BFEIpR1VZQX3EZPIuGxx+axcOsPODk5N+lDEAQqKsqxcvQl+tDnWLt0xSN0HLbuIS0a+ipFHbmJZ8m4fgg9A2MGzvq0MVQgbNJKPv3sFYYOGU5QkHYJZ3379sXf34/Lly9g4eSHZ+h4rJz8mnljFXXVlOcnkZNwkts/78AtaCQBA2a3GM8XOHQh5zYuJy36AN7dJ2p7OxsRiyXUlmUjaNQ4eAbjFDgae8/wJioRgiA0eOaj91GSdRRDc3u8wh/Q+Vx3Y+nYBXltpdZZ9EUZ0QQOnqtV37Y+Azh0+DBqjabFKlBOXfpxLvJ3lPLFrdYLryi4jUouo0+fjpeC7OTfQ6ch2cl/DUEQWPfjOlx6PIq9V3ecuvQjO/4kxZkxQIMcTujopY16aM7dxvH9urVMn/4w1bIapKbaLXdIDU1RdVAqpKayED2pYbti3CKRCCvngEYPqVJei6KuCpFIhIGxZZOMVTM7LxIS4unVq2OxR+npafzw41r6zfocYwsHBs3+nJsn1nL2t2UEDHq0RW/VvSjqZWTHHScl8nc8wsbTpc8M6mUlfPPdS8yc+UiLnj5tUCqVPP7kErx7PdQhI/IO1s4BBA1bzPYd23nmmWUYGupmINvb2zNmzAQSru0hYPCCDo+jJcrzkynPT6L7hBf/MrZiDqOUy3D2699QdUksQVkvI/XaXuSyYvzGDiE+Po7lLzxH4MilOhmRd5DoSek6eC6GJhYoC6JY+fob5ObmIAgarKysCQkJw8fHt9XkiH37dnMjPpG+Mz9HrVKQHX+Cm8e/RymvwcLeGxMrFyR6eijra6gqyaC6JAtr10D8+j+Co0+vJkaJqZUzPr1n8uTTT3D29Pl2Pc5RUVdYuHgBIiNHBj32VZueNX0jMxy8e+Lg3ZO66lLiT/3I2Y3LCBu7DGuXrk3bGprSZ9rbXPp9JfKacvz7P6K1UoCirpqbx7+hJPMmPSe/jm0rig4NcZDB2LoHU12azZU971EvK6froLaXhttCLJZgZuNBdUmmVoakSlGH1FC7952+oSklNTV06eJPee4tTK2aTihMLJ2wdQ8l7uQPhI1Z2szYVMprST77E48//iT6+u2Xbe2kk05DspP/CsXFxfzxxwFKiksI9QwDGpaR26pd7OQ3gIhj31BRUY6tjTVlpdqJ9dZXl6Kv5Uv4XtSKOqQGJjofJzUwbnW2L5EaI5PJOjQegJ9/+QnngCGN2aqGptb0nPQq+ckXSL2yi/hTP+HsPwhLR18s7L2RGpr+uexZSmVhKmW5tyhIuYytewh9pr/TuLxqYumEs98ANmz4mTfffLdDY9uyZSPl1Qp6jp7QfuN2cA0aSXHaRX78cS1Lly7T+fj33n2fAQP7YO/Tr5kB0lHUKgUxf3yOVCLh9sWt5CZfwMzGDf/+s7D37tksRtZ/wGwqClM4cj6CH38ciYW9198ysAE8wydyZcc5FAo5Cxcu0fq4L1Z/iVfvmUikBkikBvj0nIJ3j8nUVhZQWZhKbWUBGrUaQ1MbnAMGYWHv3WbspkfYOC78dpALF84xcODgVtudPHmMBQvn4TdoAS5dh+oky2RkZkOPia+Qm3iWqL3vEzZuWbPSkoam1phZOlCefpEruTfw6TfnTy9rywa1WqUkP/k8yed/Q6VS0PfhD7D4M3mmPcxs3BgwcxUXt7+KgYllh7ygd5AaGGmthalvaEZ9dYlWCTr1slKsrKxYvHAhr739Pq6BQ5sZi6FjlhK56x0u7liJT88p2LgFI2hUZN44Rs6Ng/h6exEeFt6hKmKd/PvoTLb5F/G/kGxz40YMq9es5tixw5jbuCKrKmfEYu2ygQFO/jCXs6fPc+tWAstfWkGfWV+0+2G6eWIdEj19AofM13m81SVZRO5+h5FLftb52NaIP/41i2eOYdEi3SuvKBQKArr60P3BdzG3be41FASBioLbFKZeobIwlaqSDJTyGkQicaOWoIWjL87+AzE2t292fGVRGrEH3ycxIaVR4kdPT4yVlQnl5TVtJtsIgkC/AX2wDnwQR9/7k+lZknWTjAs/cD36BhJJ+7WN5XI5Bw/u40hEBDEx18nPy0EkMWDQnC/a9Sq3hyAIJJz8HmczJVMffJAVr72CX/85zYSfW6M8P5move/jP2D234ppBciKO460PJrDh45o1T429joPTp/K4Hnr7lt1G4C0q3twNynnt183tbj/2rUopk2f0uEwh7spybrJtQOr6DVlZePEoLo0m4TjX9E7vBtrv/+RLVs3suarNdQr1Fi5hWNm542BiRUIAjWVBdSWpFOYFoWnhycptxPpOfUdrYsa3I2sLIdzm19k2ILvOxw6cX7Ly/j3n4VdG9Vx6mVlVBTcJiP2MGKJHr2nNI95vJfr+99l+RNzmTVrDqPGjKBe6kjXIYubGZM1FQVE/v4axkYGlBQXINEzAEGDo3c4BoamVBTeRl8i8O7b7zJlyt9P6Ps7dCbb/G/T6ZHs5B9j377dPLdsKe5hkxg09ztUijoubH1Fa70/tUqJvK4GMzMzRo4cjZ7oBfJvX8TZb0Crx9RU5JN76wyD5nzeoTEbWzoir61EWS9rps3XUcoLUkhIcOP48aMMGzZSKwPpDomJCejpG7doRMKfS+xOfh36OAINHg+RhOTkpCZVfbQhPj6O4uISAv6m4PXd2LgFkawWuHLlMv36tf531mg0rN/wEx+t+hBjC0esvfri0ns+vmZ23L6yi0s7VtL3oXfaTVZoDUGjJvHMz4hrs/jo6w1MeXASgUMW4RY0Qus+rJz86PfQ+1zc8TqGpjbtagi2hbP/QI59vxaZrBpTLUI8zp07i71nj/tqRALY+/Tm4u6VLcp31dbWsnjJIvwGzvvbRiSArXtwg37rkdX0e/gj8m6dIuPaXp5//kWeefpZJBIJ8+ctYu5jC7hw4RwXL10g6lo0JbnFiEViXF1d6D15EEOGvEl09FVWr9vY4d+JqbUrDj69yY47Tpc+D+l8vKBRU12ahalNy2VWi9KjSb9+kLLcBCzsfTCxdiH31ulmEkr3UpoTT0VBClOnPsSlSxdwcnTi4uVL5Nw6j6GZLU5+A7F08qM04yq5CaeYP28BTz21lFFjhmPiFIZP7xmN7zlBECjOjOH5l15EJpMxZ452MZqd/PvoNCQ7+Ue4dOkCzy17lvCJK7Fy9gdAMLZA38iMkszYNmfldyi4fZGu3UKwsmrwLK1b+yOzHpmBCBGOXfo1+5BVl2YTufudP6U9OibcLdHTx9DEirK8xL/14b+DUl5LZUku52OzOXL8ZUSCnEULFzFn9lzs7No3cmJjY7B09Gm3XUdQKeqQlediZG7PoUMH8PLybrHeeGtER1/FxjWgXQkkXRCJRFg4dSU6+lqrhmRFRTmPzp1DSkYuweNWNDMOgkc8TvKlbZzb9ALdhi3G2X+gTsursvI8Ek9+i52lIb8fOMwHH76PpXsPnYzIO5jZuhM6+mkSTv+CvVf3DmuA6kkNsbZ35+bNG20a2HeIunoVE1vdtVTbw8TSCblcQW5uDq6uTTUqP/rofTCyxyVw+H07n3PAYHITz3Fmw1P07dufHyNO4ufn36SNWCxm0KAhDBrUcsa+IAgseWIxToFT/tZYPEPHEf3H5/j0mqrzM19RmIrUwKSZl1xeW0nciXVUFNzGp9eDdJ/wYmOIjI1LV67seY9ek15tUa2iJOsmN458xoqXX2X4yCFUVNXgFDiK8AkvIxKJqSrJIuP6flKjdjJs6DDWHz2Bv38Azz73DIa2XZvFEotEIuw9wzGY+Dqvvf4KEyZMbHz3dtLJ3XQakp38I7zz3rv49JvdaERCQykyj9CxpEUfwNYjrM2Pu6BRkxt3mDdf+SubuF+/AfTv15/TEV9zO/J33IJGYmRuh0peQ17SBUqzb2JgatOkHrKuqFUKVPJqCm6duC+GZO6t09h5hBI0aimCIFCWm8CWfUf58svP+PDDT5gzu3mJwrtJS0tFanr/qtko6qrIjjtBTsKpRiNSLJbw3Q8/8sWXn+DjG8C8xx7jyScXA3/JnqhUKo4dO8re/fu4fj2agvwclEolEn1j5Ac+wdYjDJeAQfelkoqxtSfXY2Nb3FdVVcnESRNQGDjRZ8bHLUqziEQi/PvPwsY1iBvHviEn/gRe3Sdi5xnepiEnK88jNy6CnPjjPLt0Gc8+uxy5vJ6dO7fT9+FPO3w9Dj69STj7KyVZN7HzaF0NoD2MLRzJysrUypDMzMrCzL/9yZq2VBamkpd0norCFNQagSFDB2JtbUtIaCjDhgxh2LAR/PrbL/Sfvfq+lqoUiUQEj3yS8789w4/rfsbGxqb9g+7h5s1YioqL8Z/w937PVs4BSPWNKc26odVE+G6ybkbgGjisyb2pKc/n8q43sfPszpC5XzX77bgGDgORmCt73sfczhOXrkPQN7ZAXlNOZuwRlDXFrHz9DT7+ZBXu3afTLWxck+fbyjkAj5DRFKZFceHY12RnZ+Lk5MTevbvo/8gXrY7Vwt4be48wtm7bzFNP6i6h1sn/fToNyU7+4yQm3uLWrXiGLljWbJ970Ciybh4j6cIm/AfMafGjI2jUxJ9ch6wsj3fee5evvvmah2fMwNvLm0uRVxgy92sqCm6Tl3QeRcqftbY9wwkZ9TRnfl1KVXF6YyUKXclNPIu/fyCpqTf/Vj/QUPUk7do+goY3JEiIRCJsXLth49oN96I03nr7bYqKCnl++Uut9lFfL0fcQo1uXREEDZk3jpJ4fiO27qEEDpmPlUvXJvJBSnktZbnxfL9hJx+t+pBPPv6UqVNn8McfB3llxUtoxAbY+Q7GqedcfC2dEInE1MlKqCxMJT/5PLfObcC393S8e0z+W15KfUNTKioyWty3/IVl1ImtCR7+ZLvePVv3YAY/uprsuBPEn/4FtUqOpUMXrF0CMDSzRYQIpbyGmtJMakpTqSrJ4aGHZvL4mjONouebNv2KjUsAJlYdN+ZFIjGeoWPJjD2slSFZU5FPWW4CynoZgiAgNTDB0skPkUhMWyHugiAgk1VTVVWFXC7H9D5Ew1cUphB/8kdqKgtw7ToEj9BxmFm7IpLooaitJK0olejv1vPKihexcQtuMQ7372JkZoOjT4NW4t0yVdqSk5ODha373/aci0QizGzdqasu0em46tJs8m9fZMijaxq3yWsruLzzTTzDxuPT68FWj3XtOgQn377kJp2jMPVKQ61tQ1Oc/AaQHXuQ1Wu+xL37dDzbiNt18O6FZNwLLF6ykB/W/Yy5tVO7ZSYt3btz/sLFTkOykxbpNCQ7+Y8TEXEER9++TSRw7qCnb0SfqW9yZfd7VBSm4BU+sVHHTaNWUZh6hZQru6iXlRIweD4Wdl7UVZfw2+8R5KVdJ3DoAozMbDEys8WpS3PNsy79HubqgU8YMHNVq8LGrVFZlEbKhd/YvGkr8fHxrP7uW3pN/0irqhstkXjuN8xsPbHzbF7Bx8Lem17TP+Cb717D0dGJWTNnc+1aFBs3byIzM4uaGhmmpqZUVpRSK3Qszu8OaqWc6D8+p7aykH7T32tSpvFupAbGOHj3wsG7F6U58bz6xtt8uGoVFZVVBAx9HHuvHs0MfwMTSywdfPEIGUNVcQY3jn1LQUokvSa/2ig6rSsajYqKigp+/30b5uYW+PsH4OnpRUTEYc6cPUe/R77UeolYT98Ir+4P4Bk+gYqC2xRnxnD78nYCuwVhZGiEtZkZ4aNCCQudS9++/ZvFH27asgV7/7+/VOsaOJzE85tQymtbzO4XNGoK06+RGXOY8vwkbNyCMTA2B0Qo62XcOvcbEomExMRbKBSKJjItBQX5/Prbejb8up6ykmIMjU2R19eSlvIujl364Rk6DmvXbjp5CgVBIOXKTtKu7sV/wGzcg0c19/5aOTckwYQ/wNlNL+DabWRHb0+7OPgP5fddOztkSMpk1Uh01FttDYm0oa62tqhVCmKOfEWXPjMwMv/rdxx34gfsvXq0aUT+dU4D3ING4h7U9P7auAYSuettQrRIdLN1D8XapSsnTkRo9RyIRGI0au2rWnXy76LTkOzkP05VVSUS/dYTAozM7Bgw62NyEk5x69yvXP/jCyR6UjQqOYgkOPj0pv/DHzYaouZ2nhiaWpOXHouzf+uyIwBe4Q9QW5HP5Z1v0vvBNzAys9VqzOX5ycQc+ogPPviIAQMG0a/fAI4cPULcsdUEj16uc9JCWvQBClIiGTj7s1Zf3MYWDoSOf4UXX1zG1998TVFxMU4BwzG16Y6+rSF1ynrq5WkUxB6luiQLz7BxuHQdolOcnaBRc+3QpyAIDJz1SYvGfUvYuHajz8OfErnrLcwc/Fs0Iu/F3M6T/jNXcevMei7tWEn/hz9sU06mNWSlORRl5fDJNxtQK2opybtNePeeFBYU4NV7Zofkme5OShKLRLhZ1/HLzxvaPa6wsICAEOd227WHvpEZUgMTFLWVzQxJWVkOUfs+RCzWwyNsHD0mvtxsmVOtlJN/+yI7Dxxl+47tbNq4BQ8PL1586XlOnDiKU5d+BIxY3ui5BJDXVJAdf4KYo2uQSA0JHDwPe6+267rfIfHcbxSmRTFozhfteq80GjWysmysnNquOvV3sHT0I/pAInK5HAMD7Z7hO5iammktu9MeamWd1uEbapWCqL0fINGTNpENKky7SkXhbYY89tXfGou1SyBuwaO4dXYD3Se82G57p8AxRBzfSEVJQbvC6JV5Nxk9tlOcvJOW6TQkO/mPY2Jigkbd9qxdT98Iz7DxeISOo766hJiDH9G/VyixqSWEtFD+rDAtCmf/Ae16B0UiEd2GLSbp4hbOb3kJ7x6Tces2olHk/F5qKwvJiYsgJy6Czz9bzbRpDRmZYrGY337dxKxHZhC97x26Dn9aK1FplaKOW+c2UpgaSd/p77T5slYp6ki+uBUjCycsAybhP75XM4PV2X8gXfrOoiDlEilXdlGQeoXwscu0NgjTrx9CLiuj/8xVSHRcIpcaGNNn2juc3/wiubdON8RstYNYLCFw6EJuHPuWG8e+o8fEV3SOmassSqNLv9k4+w8EGu5T6tW9ZGZFMnrCQJ36agnXoJFEbHiSiopyLC3blnKpr6/V+l63h0RqiErZ9HdRUXCbK3vew7fPQ3iFP9DqvZJIDRqr6uQmnmXqtMkYGxtj4dadwfPWtuh9NzCxxLf3NHx6TiE/JZLrh1cTMHBOu1JEeUnnyUs6z4BHPtFK6qamLBepgSkGJpbttu0o+kZmmFrYkpycRHCwdqUe7+Di4kJVaUM1m5Yqv2iLIAhUFqXjqkUyUWVhKgknv8XKzIDSChlKeU3jpCr9+gF8e027L/HEfn0f5sRPS6irLml30mzl5EdUdiYhod3JvH4Q/1Zqb9dWFpJ/+zKPbl77t8fXyf9NOpVGO/mPM2DAYErSotBo1O22FYlECIKGmsoComOu4xw4usV2lYWpWDp00er8IpGIgAGzCR+3nPK8RE78tJiYo1+Rm3iOoozrFKZdJTv+BJd3vsW5jc/Sw8eUw38cazQi72BqasqunXuZ9eA4Lm9/iaTzv1JTUdDiOZX1MtKiD3Dmt2eR15QxaPbnmFq7tjpGtVJO5O53kRqaMvCRz3Dq0q9Vr6dET4pLwGAGzPoYjVrJ1f2r0KhV7d6HuuoSki9vI3TsczobkXeQGhgTOmYp8ad/QVGvnai6SCSi29CFVBWnk3/7kk7nq68p/3Np96+qI3r6RhiZ2WLnEdbh67gbQxMrrOw9uH49ut22xsYmOi1ltoVKUYee/l/eyJqKAqL2fkDg0IV4d5+otcHtEjCYkHEvUlFZjXPXke2GcIjEEpz9+tNvxvskXdxCbuLZVtsq6qqIO/kjoWOWaq2XqKiv1jmMpCMYmlhQUVGu83EhIWHYWFtTmH7tb52/PD8JeU0p6ZFbyLwRQV1VcZOYVWW9jMK0q9z44xOu7X2bF597inNnLjJhzEiu7XkLWXkuddUllOcl3bea8PpG5jj69iH31pl224rEEgRBQ2GFnNToA6Rd3dvsPVJdkkX0vnd57rkXcHS8f0l+nfzfotMj2cl/nF69euNgb0dhSiROfu3Xx86Ji2Dy5Gns27eLrn/W9r2X2spCTKx0W2K0dQ/B1j2Euupism4eJ/fWGZT11YjEEqSGpkgNzRg2bBRrVn/dah/6+vq8+upKpk17iO/Xfsuurc9jaGKJpb0XKkEPtUZNTVkOsrIcbD3CCBn5VLsZ6QA3T6xFamBC2LhlWicB6EkN6fHAK0TufptbZzfQbdiiNttn3TiKk2+/VjUotcXapSvWzgHkJJzSurKHnr4R/gNmk3Z1D85aPAN3yLoRgYNP72bxlVXF6VpV+dAWExsv4uJuMmxY25I+rq7uVJdk/u1z18vKUCvrm3jt4k7+gHvIGFw7YFTYeYQROGQesRFfM/hR7TKlzW096DX5dSJ3vY21S9cWNTazbh7DxrUbtu7ae/3uZ5b2f+JcIpGIJ5Y8zpdrf8PRp3eHz50Xd5Tnli4jMDCQn3/5hYubf0Uk0cPQ2By1SoGsqhQf3wDmz5zJI7O2NErnfP7ZatxWf87qNa9g7dEdSwff++KNvIOtWwgFqZHttqsuycLQzJaeU9+jODOWmCOrSYnahWvXwYj1jKgrTaW8IIWXXnylsd59J520RKch2cl/HJFIxIpXXmXZ88sxt/duc0m4JCuWnLgIfvn8JMePRyCvrWixIokgaDq8LGVkZod//1nNtmfFHQdRplZ9+Pn58+UXX7Hqo09JTEzg5s0bPP/Cs3QdPA+PkDENpQm1jN1rWDq6xIjFP+mcSSrRkxI+7nlOb3iaLn1ntBqDKAgC2fEn6THxFZ36bw33kDEkXdikU4k4py79iD/9M1UlmVoZszUV+aRF76P/jA+b7VPKa9v08OqKWGqCTFbVbrv5c+fy3idrtFrWb4vMGxE4+fVvzJKvqcinPC9Rq9i21nAPGklK5E7K825h7RKo1TFWTn44delH1o0I/AfMbrJPEASybkYQMvoZncYhNTRDXluh0zEdob6mAgsLyw4d6+7uTlFWHBUFKVg6ti7w3Rqy8lzyUy4zb+s6HBwcmThxChqNhszMDKqrq9DXN8DT06vFGvEikYjly19kzJhxzJs3B6nd/SnfeQdzey+SL29vt13mzaO4dWuYONl5hDJi8c/EHv4MedFNpj44DR+fYUya9CCmpvenEEMn/3fpXNru5B9h4sTJPLf0WaJ2vU5e0nk0amWT/Up5DWnX9nHj8Gf89OMv+Pn5M3nyFPJvnWqxP6mBKYq69j/8uqCorcLGWjfBXQMDA0JDw5kyZSoiwLv7RGzdgnVKAMm6GYGz/yD0O1g5x8jMBnvP7g2GcCvUy8pQymuwbCVDW1dsXLtRXZqDSoekBbFEio1LN8rzktpteye71bv7JMztPFvsS61S6DLkNhE0CvT12499nDhxCrUVeVQWpXX4XBq1iszYQ7h2+yu2LjP2KC5dB7dan10bRGIJ7iGjyYg5rNNxHqHjyLp5rNlvsl5Whry2EhtX3SocmVg5o5TXUF+j+7KztijqqpBVluLv3zShRxAEIiMvs3DRfELCuuHj605QcFemTpvC4cOHUKvVaDQaXnzpRdyCRhG17wNqKwt1Ore8poKY/R+w4pXXcXD4a1IsFovx8vImJCSMgICuLRqRdxMY2I3hI9oPRdAVfSMzVPKaNttUl2aTn3wR9+BRjdvEYjEhY5ZTUVnN5MkP8sgjj3YakZ1oRach2ck/xrPPLuObNV9Tmx7B2Q1PEHf8GyJ3vcPJnxZz4sdFZF3fx8QHJhEQ0OBNWbxoCXmJp1s0PCzsvagsTO3wWOS1FRRlXCfn1hlyb52hKOM6NcXJhIeFdag/AwNDBEFAo24/DvRu1ColWTeP4xk6tkPnvYNH6DgyY48gtBKHWl2Sgbmtx99KLrgbPX0jjC3sqS7J0uk4c3svqooz2myjVsq5duBjpAbG+Pae3mIbMxtXqkt1O3dbyCtzm1VIaQlDQ0PmzHmMzOg9bWo4tkXOrdMY6utz6+T3lObEo1GryI4/gUfI33sGoEGXtTAtSqdJlqWjL4ZmdhSkXmmyvao4DQt7L52r74jFEizsvbWaMHSU8vxkHJxcm8geRUdfZcCgfsx+bA63Sw3pMnw5vR76mK5jXqFCvwsvrHiNkLBurFr1PnUKNUHDF+MVPpEL21Zo/S6RleVydtNypk6ZeF+We6VSqVbxzbqgUamgjb9ZdWk2V3a/S8DAOc0SciR6Uly6jeCnn3+6r2Pq5P82nUvbnfyjjB//AOPHP8CePTt58aUXMDBzwH/AHEytXVHKZUQlXqD/gN68/da7hIaGMWf2o/y28T08u0/CtdtIDE2tkddWoqirpiwvEb9+D2t97rqqYjJvRpB76zTymkrM7TwbY9TkNeVUFqXx8Sfp5OblMm/uAlxctF86lUqlGBmbUi8r1Sqb+w6y0iz09A1b1XLUFhu3IFSKOmqrils8v0pZj14HZHLaQk/fGLVS3oFj8lrdX56fTGzE15hauRA+/vlWE44sHHzJiD3SYo1nXVGrFJTkJhEW1lzfsyWWPfc8hw4NJy1qJz69dauzXJoTT8qFX/l9xx4yMtJ49bVXMDSzR6NStOh51RUDE0uMzGyprSzUSWrJxq0b1cWZcFfd+ob68rrLNQE4+Q0gJ/4ETl36duj49si6GUFlaSmvvvYKH36witOnTzJ/wWP49n+MgeOHNwsRMbN1xyNkLCVZsXy39jOsXYMQicT49p6KgYkFl35fiY1bMB6h47DzCG1iPAuCQFlOPBmxhylKv4appR3+fv73JRbU18eXo+dartrUUWRl2YCG2EMf4RQ4Bitnf0QiMdWl2WTeOEJ+8kUCBs7BK/yBFo+3dg0m9sbu+zqmTv5v02lIdvKPU1CQz6uvrcCz1ww8Qsc12WfrHopb2ETefPtVJBIxdq4BmFo5khq1m+RL2xH/mWk4fMQYLuTEUF2ShZmte5vnUynrSTy/iey44zj7DaD7+BexcPBpZqRo1CoqC1PZf/I4a9f2ZPbsR3nzjXcwNtZuuXHMmPEkJp7Bt6/2xq1SLuuQtuK9iEQi9A1NUcpbzqSW6OnfN+28O6iV9TpnTauVciR6TZeQNRo1ZTkJZN44TEnmDQIGPYZ78Kg2P9TWzgEIGjWlOXHYugV3aPx3yE++QEBAN9zc2n6O7mBqasYzTy9l5ZuvU19bTeCQeVp57QpSIok/8Q1rv/uBXr1606tXbx54YDLr1n3L56vXtHu8tugZmKBsZ2nzXqQGJsjKchtij/+8FpFYr9lyt7a4BQ4j6cJmaioKdJpYaUNdVTElWTcY+Mhn7D34OfX1dezdu5vgMc+3WapQJBJh5xFG/1kfc3Hbq+TfvoRTl364dRuBg08fchJOEX/qRwSNGjMbd/T0jVEp65CV5aJRK/AIGUvQ8MUUZ8Sw/+BB5s9vO7lNG0JDwygvWEVddSnymnJAQGpohrGFQ4cN1crCFGZMf4gA/wB+/PknovamIQgaDE1tcOs2gqHzvmlTGkgk1kOpvL9e0k7+b9NpSHbyj7N23XdYuIY2MyLvYGbjRviEF7lx7DuCx72CSCyhrrqYtMjfqSmM449DR3F39+Dd995m79HNhE5Y0epLt7IojWsHPsHM1p1h879rMXHnDmKJHlbO/lg5++PTdxYRp9dxZGAfNv22haCg9o2VJYuX8PAjM/HuNU1nwfL7gVopJzVyG949p2Pp1NRjYmbTkG18Pzx40ODFq6kowNRGt4SX8vwkassyiDv6OQDymjKKc28jkujj03MqQcMf1ypmTCSW4BU+geSL27CZ0U0rQ05ZL6MsLxFlfXVDqUFDU8ys3ciK3sMnH76n1fhjY6/z+JNLqKpR4tVjKrmJZzm9YSkeoWNxCxyG9J44V41GTWHqFQoSIqgqTmfr5u307/+X9qWRkRGTJ09lzdetKwXoikatbLHmeNvHqChOi+T4949iYeOEWCxBVlWKQtExQ1JqaIpn2HjiTv5A7wffuG+Z3IIgNGS3B4/GzMaVsImvs+PXpbgEDtO63rWplQuho58h4ewGHH37Nk7CvLtPxCv8AcrzEqmtKkKlqEVPaoShmQ02LoGNYSGGplaUZZf+revQaDScPXuan3/5mZqqCk6vf6qhTKdIhLy2EkFQY+nYBbfA4Th26a91NS1Bo6bo9jmmvvQDgwYN4fHHn2Ljxg18uXYjYRNf16oPWWk2ri4tq2V00klLdBqSnfyjKJVKNm36jbBJb7bZztY9FImePsWZMdh79cDIzI5uI58i6dwGnl32LHt37+PFF15mz96+5CScbMw+vJuKghQid79DwMA5uAeP1uljZmhqTeiEFWTdjGDylAns3rWP0NC2P1Q9evTC0cGBgtQrWkvcNGS4Vmo9rtYQBAERKsYP7cmevV8il8uxduqCvpkzIokeGpUCjUZNdUnmfVlCLc9PwtjCQaekIkGjprY0jRUvvYiZmTmCIGBra4tSqeSVlW/j23uqTmPwDJtATsJp0q8fxLv7pFbbVRalkRFzmPzk85jZuKNvbIFIJEZZL6O8IBlra1usrKzbNbI3b9nIa6+vwLffHLr++Tz59HqQ4owYMmMPk3RhM3ae4RgYWyISiVHUVVGcGYOFuRmvvrKCqVMfwsSk+f2ytramrra6wVv7N8XOBUFAXlOOvmHrlaRaQlVbxisvN4wxOzsbtVqFkZEREyeNo15W1uYErDX8+s3k3KbnyY473iSp4++Qe+s01WU5jdntRma2uAQOR63SLcTC3rsn8ad/oTT7Brbuf9U7F4lEDfJWLq1nUncwNLaRK1ciWfrc01RU1eIUOIoBj3yKqZVzo6EqCAJ11cWUZseREfMH8Wd+oduQBTgHDG73HVaQGoWZqREDB/5V8WvSpCm8vnIFtZWF7VYlEgSBglvHWP7+O3/vIjv5V9FpSHbyj1JUVIhCqcTczqvNdiKRCBvXIKpLspqUcfPp8zCnf1lMauptfHy68POPvzBt+hT0jSxw8O7Z2K5eVsaVve/RbdiiDuny3RmDR8gY9PQMmD5jKufPXmqSpdlS+xUvr2DpsmepqcgDQUDQaJAammDjGtSiAWdm44ZGpeiwDMkdSrNvYGlhyQfvr+KD91eRnp5KTMx10tJSG2sxX7WsJyvhGOZDFnf4PHfIuhGBa+BQnY4pSr+GjbUVixY90eSDWFJSQkVJTrtl2u5FLNEjfNxyLu54HQNjS1wCmpbLVMpruP7HF1QUpOAePJLBj63B2Ny+SRtFXRU58SdYuGQJDnY2bNm8rcUl7r17d7HyjZX0mvpuk2dXJBJj79Ude6/u1FYWUpwZi7JehiCoMbV2wbFLP1Iu/EptXV2LRiSAhYUloWE9yUu+gFu3v1fHuyTrBhKpoU6eYpWijvyUS0yY8DEuLq5NYoPHjn2A2/En8O2jWywoNIRThI1dRuSutzA0tda6HGNrFGfGEH/qJ3o/+GYTg9szfALnt7xIt6ELtdZjFInEeISOJfNGRBNDUhvkNWXY2GhXavVuNBoN73/wLr+s/5ku/R8jsNuwFj3pIpEIY3N7jLsNx63bcEqyb3Ij4hvyb18ibNyyRsmoe1HWy0g+9zPffvV1k9+XhYUlY8ZO4NrFzYSOXd6mMZqffAFBVcvYseN1vr5O/r10Zm138o8iFosRNIJWGa+CoIZ7Xnp6+kY4denPwYP7AejevScbf9tCwvGvSIncgUatQhAEbhz/DpeAIR02Iu/GJXAodj79eW7Zs62OWxAEzp8/y47fd6Cor6EsO476mjKUchkVBbe59PsbXNj2Krm3zqBW/bVcKJZIcQseRUasbpIt95IXH8HixYsRi8WIxWJ8fLowbdoMXnrpVV5//S1eeulVPvrwY/JundFZ7uReqoozKEq/hlvQSK2P0aiVpF/ZxtKnn2n2IbO1tWX06PHktCFf1Bpmtu70fvAN4k/9xM3jaxvliOS1lVzc9ir6RuaMWPwjAQMfbWZEQkMlEO+eDzLgsW8R24QwavRwkpISm7TJz8/j+ReWETr+5TYnQMYWDniEjMa391S69HkIz7DxOPv1J3zSSj788D1u3Upo9dgnliyhICFC5+u/l8zYw3iEjNEp0zo38Szh4T3w9m4+kXni8SfIuXkYRV11h8Zj6ehL9wde5trBT8m8EdGhTPcGDdQTRB/8lPDxL2Dl3DS73tTKGSMzO6qK03Xq18rJj5ry1hO/WqP49lkenDxZp2MEQWDZ8mfZtms//WZ9jlvQCK3/RrZuwQx+dDWIRETueqdFyS2NRk38iW8ZPnRoMyMwLS2F8+fPUpwZS9zJH5q8f+4eX17yBRJPr+OXnzagp9fpY+pEezoNyU7+UeztHTAzM6M8L7HNdoJGTXFGDJYOzT9ueoYWVFRWNP5/4MDBnDh+GqO6FCJ3vET8qR+RleUScI/A8t/Bt99somNvcPRoc4Ovvr6e+QseY/6iRWTVWDN80U/0mfY2wcMfp9vQhYSPW87IJT/jETKa9OsHOb/lJeqqSxqPt3LyJy/xXIc/1nXVJRSmX+eRWXPabOft7cviRY9z69T3rcoEtYdapSQ24mv8+s/UyXuYcnkbnm6OzJ79WIv7lyx+nLyEY1qV0bwXKyc/ug6eR0n6ZS789gxJFzY3VGtx7UbomGe1SggSicT49JmBS+gUpk2fQmHhX6Uv33hzJU4Bw9pc7mwLMxs3vHtN58WXXmi1zYQJk6iXFVNRkNKhcwDUVRdTnBmjk1dTo1GTH3+EJ5Y80eL+Xr36MGb0GJLP/dxhuSMDE0v0xGLKkw4Rc+CDVsuKtkRtZSFRez8gJXIXvae+hb1Xy5n1UgNTnROMJHoGOi+Jy8pyKMiMZ8u2bfz00zqqqrQLS/nq69UcO32e7lPebrcGdkvo6RvRY8KLGJpYEXv0qyb7lPIabhz+DEdzmlXlqq+vZ9pDU3HoOpbBj32FrCyHEz8tIvH8JkqyYinNiScz9ghnNy4j9sgaPvxgFX379tN5fJ38u+k0JP9h1q9fz8iRIwkODmby5MkcP66bFyY/P58ePXrw9X0Mzv8nkUgkzJ+3gOzYA21+mPJTLiPRN8S6BTFkZW0pNtZNX8be3r4c/iOCVe++RVnGFXx7T/vb8WZ3oyc1xC1sCt98902T7QqFgocenkZsUh79HvkSn14PtpiFLdHTxzVwGANmfYKDd0/Ob32ZtOj9RO18leTT3+Pn70/csdU6G1JqlYL4iNU8+ug8rK1t2m3/0ksrsDOXEH9Sd2NSrVJy7cDH6BuatSodci+CIJB2dQ9laRf4Ye2PiMUtv3J69+6Dh5srKZe36jQmaFiezry2iw/f/5DtW7chlSWjJzUkaNginZM8PMLGY+wUysTJExg3YSxDhw/h8JHDKJUqClIut+jN0Qb3kHHExd9s5u28g76+PsueXc6tk9+g1LKG+d2oVQqiD32Be/BorVUABEEg8fSPuDnZMWrUmFbbrfroY1RVmaRc3qazMVlbWUjMgQ959733SE66xYNjB3Jp6/PEHvqI/NuXqZeVNTtGXlNBQUokUfs+5Mxvz2Fq7cLgR7/Eysmv1fOoVYpmagDtoaiXoaevQ4yvIJB8aRt2Xj3R2PXluw2/ExQcwLLlz1JcXNzqcUlJiXzxxacEj3m+w0UHoCHBLHTMUioKUshLvoAgaChIieTSluV0D3Bh5+97milM7Nu3G7XEBK8eUzAwtqDfQ+/R58E3UdRVknh+E/Gnf6Yo/Rp+/Wbi0+tBTp0+3eHxdfLvRSR0dJrZic789NNPfPHFFzz99NMEBQWxa9cujh8/zq+//kqvXr3aPV4QBBYsWMDFixd55plnWLpUN0Hc4uKOebzuNxUV5QwfORRj5x506fdIsyWe0px4ru5fRfj457G/JxNTWS/j9C9LuHjhSouxbKmptxk+chhDF/x4Xw1JaJAROvPzYk6dPNO4DPjM0ic5H5VA2MTXdMqUvXXuV/ISTvDJqk+YMmUaAA9OnUShTEzQqOe08qKpFHXcPPI5vq6WbN2yQ+vlqPLyMsZPGEtxeRU2Hj0wMLHC2MIBB+9erZ5XVpZLwolvUMhKkBiYEjhyabv1putlZSSd+RFNbT67ft+Dt3fbWpkFBfmMGDUUO79RePaYQkV+IhUFKagUtUj0DDCxcsLeq2eTjHh5bSWxBz9kzPCBfPbpF2g0GsK6B+M18PEOywLVVZdwav1ThIx8En0jc5T1MiqL0inNiaeuqgiPkNH49J7WaqxaayScWsfUkWG8/NKrLe4XBIGFi+Zz6VocPSav1NogVCvlXD/0CWV5SfR9+CPMbdzaPUajUZN05ifUFbc5cvhYu5OQ3NwcJk1+ALGZG34D51NfU4airhqRCPSNLDCz9WhmtOffvkzimXU8+8yzvPTiS1hZmVBeXkNpaRnbt29l+++/k5wYj76hCfpGZtTX16FSKlDKZZjbeeHsPwDXwOHtGl8qRR3Hf1jI4MdWtxi+0BqxEd+gUtTR44GX2m17x4jMT75A/4c/Qt+oIZmppqKAjGu7qS++xe5de/Hx6dLs2KnTp1AquODTa5rWY2uL4swYog9+hompOabG+rz/3oeMH9/yxG7YiCHouw1rFj/cEvWyMs799jTXo+OxtdXda/qfxM5Ot+SxTv5ZOgMh/iHq6+tZt24d8+bN4+mnnwZg8ODBzJw5k2+//ZYNGza028eWLVtIS+t4abb/BfLyctm46Ve8PL2IvXGavMSzuAWPxcTKBaW8hqybEVSXZBI29rlmRqQgCCRf+I3Bg4e1qvl34cJ5HDxD77sRCQ1eSVu3buzfv5ehQ4dTXl7Ovn17GDJ/nc5yKwEDH0NWmIhEIsHAoGGsv+/YzfwFc7m66zVcQyfj1KVvi/2qVQryky9w+/J2/H092LB+o1ZGZH19Pbt27eD7dWspLC7GyjUYQRCorcin4PYl4k6swy1oJJ6h4zAyt0MQBKqK08mLjyA/+QLLlz3Pk08uZcOGX/jgwzexcQnArssQLB27NOreyWsqqChMITfxLAXJF7F3dOLdt9/F07Pt5CoAR0cndmzbxZSpD5B6bT8isQQ7z3CkBsbIayrISzrHzRPrcA8ejVvQCCryk0mL3MrkB8az6qNPEIlEnDx5DJVGgo1rkE5/j7sxMrPF3rM78trKxpraLn/G2lYWppJ8eTtnf3uOsLHPaV3TGsDcwY8rUVdb3Hf58iXWrvue48ePoG9izbnNL9Jt6ALsvXu1Wn9dEDSUZN0kLXIzYYG+9Jo5gdVrXse120hcg8e0mKGrVsrJS75AatRuLIz12LN7n1aebBcXV3b+vptFS+Zz8pcn0JMaYmhmh0jUYHhLDUzwCB2Lk99AKguSyYs/irwql59/+Jnhw5vG0lpYWLJkyZMsWfIkarWa1NQUysvLWPz4Imz9J+IeOlanmvO5iWcxs3XXyYhUKeoovH0RsVhExvVDuAWNbPWdUS8rI+niFspyEugz7a1GIxLAxNKRbiOeIv3aXiZPmciJ46ebJOSlp6dxNSqSIQt+1Hps7WHrHoqxhQ0L5jzMyy+/1qqXX6PRkBAfy+jB7ddvryxMJS/5Inr6JixbvpTJkyYzceKUdss8dtIJdHok/zEiIyN57LHH2L59O2F3leG746WMjo5u80ebnZ3NpEmTWLNmDYsXL/7/ziMpCALvf/AuP/zwPc5+/TB3DEStUlCQeJLK0lw8PLxwdnHB2sKMYydO4NNvDi7+gxpf7lXF6aRd+R1DTTmHDh7GyqplOZLnli3lepYG3973Z/Z/h/L8ZDJjD5OXdB6pgRGmZpbIqsqw8+pN2NhnO9RnTsJpNAXnOR5xsnGbSqVi587tfPLZpxQUFuAePAZzWw/09I1QKeqoKk4nO/4kplYumNl6ICtKIrSbP7/8vKHVrGCA0tJSZsycTlF5HS4hD+Do07uZ1mVlURrp0QfJv30BS1tnaiqLMTAwYM7sObzw/HNYWtqjUmkAqK6u4oUXnuPQkSNo1CrUKgUikRiRSIK5vRd2HmG4BAyiNCeenNgDDOrfh2+/WdtoNLdEfn4e0x+aikwpxTVkAvZePZqUdBQEgYqC26RHH6AgNRI3VzdWvPIqU6c+1OgNm/3oI+TJHfHqrt3Se2vcyRAeOu+bZvsEQSAv8SxxJ38kZPQzWldvKc9LIvvyT1y9cq1JXx9+9D4///IzbiETcA0agb6RBTkJJ0m7dgBlfTXuIWNw8u3b4KEUiVDWyyjOuEZ+wjEM9cU8+fiTLFr0OBKJhPj4OD77/FMOHz6ItUtXbP6s+65WKairKiI38RxmNm5YuwZSX56FWpbfqiftbvbt283SZ5/GwSscp25jsHENarzngkZNUcZ10q/toyzvFg4OTjz37DJmzJiJqWmD0aWnJ270SN55hu6mpqaGNWs+Z9u+Y/SY8rbWIQmCRs25Tc8h1Teh78MfaZ3AcvvyNmwlhby58k1efe1VEhMTcAkcjr1vf/SNzBukqqqKyI47RlF6NI6+fek2dEGbXuLEs+txt5CzbeuOxm2ffPIRu49HEzj8Sa3GpS2ZN45ipUph545drbZRKBS4utoy/rnfW53oluUmkHBmA7VVhbgEDMbIzA61Sk5lTgy1FXksWfIkLzz/EhLJ/Smt2lE6PZL/23R6JP8hUlMbarl6eno22e7h4YFarSYrKws/v5ZjgDQaDStWrGDcuHEMHtz+EsX/Iqs+/pAtO3Yx8NGvmgSbe4aNoyw3gZhDH/P+u+8xfPhITpyI4NPPP+fUTxswNLOlvra6sXawoaEhH3/yEYsWLsHXt/nHLzUtDRM77TQctaGi4DY3T6yjXlaKe/Bohi34HiMzW9QqBcd/WIh3j4kd7tvJrz9nz2/g5s0bBAeHAKCnp4eBgQHl5eUEDllIVVEq+bcvolLUoadvjLGFPf0eeq9RSkitlBMXsZpZj8xg5+97mtQevkN1dRUTJ49HY+JJz6mLWq23bWHvTdjYZ3Hy68+No1/y1eqvmTJlGlKppNEIuMOuXb9z4vQZ+j30AWa2HqgUtQ0i3/pGTfo3tXbF2X8QVw9/yoKF8/jt100tfpRKS0sZ/8BYTJx70L3/7FZlUayc/LCa8AJ5SedJPP0DPj6+TYyOzMxMrIP7aPcHaANzW88mCVH3jsOl6xCMzO2I2vshhiaWWDkHtNunSCxpFgP77ntvsW3nXvo8/DFGZnaN2926jcA1cDjleYlkxB4mcvc7KOtlaDQqDA2N6ddvAG9+/RVDhgxr4pEyMjLi/PkzBAyYjVhqgKw0B1lZLhI9/cYYubtlqDKi9zN+wliORZzE3d2jxXFv2bqJ11e+To/JbzbLmL5zXQ7ePXHw7klRejRxEatxdXVtNCLbIiEhnh9/Wsfu3TvRNzSmViYj5cpOumghNyQIAknnN+DqaINSoSTx7HoCBs9v15jMvnmMwlvH2Xj0BJ6eXhw5HMGtWwn89POPRBz7muLiQqQGJhgYW+LsP0hrkXyf3g9x+pclZGSkY2/vgJGREZciIzF30k1eSBtsXIOI3ru9Te1TfX19TM0sqKkowKyFcIfCtKvEHP6SroPn4dJ1aFPR8z4PUVWczm9b15JwK4Gff1z/XzcmO/nfpdOQvA/U1tZy7NixVvfb2tpSXd3gDTQ1bRrvc8eLJJO1HmD/66+/kp2dzdq1a//WOMViEWLx/akwoQtlZaV8//3X9H/kyxYzFq1dAvEfvJA33nqDUaNGMWbMWLKyMnkzLhZjC0c8ezyIo29fJHr6yMpyOBsTwdaRQ3j11dd45umm3kClUoHefaoqU5gWRczh1QQMegy3biOaePBkpdlIDYzb1cNsC4mePvbePYiMvEB4eBgAGRnpLHv+ObpPeuPP5ILmQutN+pAaEDz2ea7vf59PPv2It99qLiT8wovLUeo7EDR0iVaeHgfvngSPfo4XX3qBMWPGYGjYkJ0tkTR8oOPibvL2O2/Rc+q7jUZJW8LkUgNjQia8QvSet1i79huee255szZPPvU4hraBdOk/R6sxOvsPRKNWMmv2w9yMjW/05tfWyrDXUkuwLfT0jVAr6xE06lYNb2uXQAKHLiDm6FcMnvNlu+EU9bIS7Ozs0dNruI9Hjx5m4+Yt9H5oVYuC3y2JY8trKoja+SqPzpnNqFFNRb41Gg1zHp2FS8hEvHtO0eo6PbtPQq2s59HHZnP+3IVm9z4q6gqvvbaCHg++3W5MLIC9V3dCxr3EkscXc/rUmcbJ3p1n586/arWaV1a8xLbt23EJHE7fmZ9iYulETUU+l3asRKWsx6/vzFYruqiU9SSfW4+6MpVDRyJQKBQMHDyQyOJM/Po/gpVT81rYsrIcUq/uIy/xLIsWLcLX96+Y3eDgINasXsNLL7/ImZg8AgYv0Or+3Y3U0BQ779706dsdQaNGLJYg1pMyYNaDOvfVHiZWTsjr6ykuLsTZ2bnVdg89NINzN44TMHh+k+01FfnEHF5Nj4krsHVvOZbY3M6L7g++w9W9b/PFl5/y6orX7us1dPJ/h05D8j5QVlbGyy+/3Or+3r17079/y16yO5EFrcW5pKWlsXr1ar766ivMzP6ee9/a2uS+lSrThQ0bfsDBK7zNqgpOXfpz/tJG0tISuXr1Gh+u+pi+D3/cbCZtZuNGwJCFuIaM5fMv38PC3JRnn21Y4lcoFCgV9ZSkXKGmPB89fSNMrV2xcg7Q+bpLc+LbfNHerxrZYn1T5PJarKwaDLF33v0FF//BbWaoNutDIqXLoAWsX/8Wqz56DyOjvwypvLw8Dh8+yOB5a3W6B44+vSlKOsm+fTt59tkGY93cvKHfH3/+AdfgMTpVyNGTGuI7YC7fr/uGlStXNInpTE5OJjLyEkMW/KDTGF0Dh1GYdILjx//g0UcfBcDExBS1UjdJl5ZQKesR6+m3akTePYa8pPOkRe9v14tWWZTK+EF9G//W33z7DZ49H9KpaoyBiSWevR7m62++Zt68pnJPx48fp6xSRr8HdNM49O41jQsbTxIff51BgwY12ffV12vw7DFVKyPyDrbuwbh0G86PP63jh3XfN9lnbm6EIAjMnvMYJ89fY8Ccr5p4+0wsnRgw62Ou//EFJ35chFvQSNyChmNkaouAQG1FAXm3TpB76zQDBwxk24lIrKysmL9gEQZmdpg7+hF98FP0jcyw9+7VsKyvrKc0J56qojRcA4fRZ+rbbN3+BT26h7F4cdN62bt2/U7IA2/odP/uxiN0PCXZ8YxYuBaVoo6ItfO08mZqS0VhCtXFmSgVNUgkehw//geLFy9ulq0NUFVVxcyHp7Nt+3Q8wh7AyPwvj3dGzGGcAwa3akTeQU9qSMDQJ1i37h3eeXtlk3dLJ53codOQvA+4urqSlJTUZpvNmzcDDbFAFhZ/vVhqa2sBWjQS1Wo1K1asYOzYsQwYMACVStW4T6PRoFKpdBKOLSur+a94JK/HxmFk03bGrliih5WjD+fPX+LV11bQe/oHLS7H3MHUyoWwia/z8isvExranb379rJ+w3pEUlOMLEyoLs1GpajlduQOJFJDPEPH4dJ1KFKD5i/ce1Ep6rh24GNCRi9t/UUrEiMIzWO9dEbQoFRqKC+voa6ujp9/Xk/3B3UvT2Zu64GxpQv9+g9ErlBTW1vTsLQoqHH06dOhj5lj11F8/uVXzJ27CAsLY6qq6igtLeX3HdvpP3u1zv1ZOvpRL9fQp+9AauvqqK2txczMHJVKjlPAYK2rkjQZY8AoPv1sNQ880FBe0dHRkbKyHGxakI3SBVlZDoYm7Rt4IpGILn1nEH3wU3x6TW0xSaSmooDMG0fITTjJtkwL/jh8DAsLC2Jjohm2aFELvbaNk19/zl7YwNmzlxpDIgA++XQ1jl1H6SRGDg1L045dRzB3/iJMTMyorq7CwMAAa2trrl29wrCFP+g8RtegMWza9BIrX38LMzMzJBIx5uZGVFXVsW7dWiJOXqDntPdb9GQbmdnS/+EPqSxMJSP2COc3v4RK0fCetLC0Zvq0h1j8zWn8/BqW2Y8cOc6efQfoO/ML9I3M8Os/i8LUKMrzE6mpyEdPaoBLwGB6TXm9MdM+dMKrPLdsGaNGjcPCwhJoiE+uKC/FxNJJ5+u9g4mlI4raCkRiCVJDU0Tiv/+eUCvl5CWdJyP2MPXVJVi7BKJnYIK5Uzc++mIdK994i0cemc2ihYvx9e3C1atRfP7FF5w8GYG+gRHy+jrOb36BgEFzcQsagVopJyf+JP1nfqTV+c3tPDGxcmHDhk3MnPnI37qWjnJn8tXJ/yadhuQ/hJdXwxJoZmYmISF/vfwzMzPR19fHza250ZSfn09sbCyxsbHs3bu3yb7vvvuO7777jhMnTuDqql05NI1GQKP553Or9PX00SjbFwtWKeVcvHQJO49QrZaMzWzcMLZ0YuSoEbgFDiZ43KvNygw2JAJEkxFzmKSLW+nxwMvtzsJzE89ibu/VZhKFvpE59bIyBEGj84f7blR15VhYWKFSaYiIiMDU2hlz25Zj1drDKXAUKVG7CBq2GBupISpFHTFHVtN9/IwO9WfnGU7SmR+Ijo5m2LCBqNUaDhw4gK1roE4ZsoKgIf36ITKuHwRE1Jt2w9LLCxupASp5DdcOfkr/h3U3qAAcu/Tn9JmfuH07BS8vbx6dPYfX3n5f59rq95J1M6IxY7s9rJz8kRqYUJodh53HX/FwFQW3Sb60jbLcBJz8BhIy+ln0Dc3QaFTUVORjbFnA6fXP4B48ii59HtJaaUCip4+T/xC2bt1C164N2ekyWTWnTh1j+KKfdb9YwK3bKI5f3EaPB17GwsQKjUpBWvR+7Lx6dsjzbmLphI2LP7t372oiQq9Uqli9Zg2+Axa0W6fdwsGH0NFPEzr6adKv7cdayGTXzj2N++8k7Xz3/Vpcuo1pzKYWiyU4denb5u/Xwt4bW7dgNm/ezJIlDYkw9fUKAER/IzRGJNZrrK4lEokwNLWhtrIIA2PLDvVXWZjKlb0fYGLlhE/PKTj69mmWOFNdms3Jq0f5beMghgwewtmzZ/HsMZVhC39E38gclaKO3MSzJJz5heybR3AJGoWegXGbE/V7sXAN5+Kly0yfPrND19HJ/206Dcl/iPDwcIyNjTl69GijISkIAseOHaN3794tJknY29uzc+fOZtunT5/OjBkzmDFjBvb22n/Q/1uMHDmSvYdeQOg3s9WPe72sjJKcRK4KtTgGa1fXN/HCZuprZQyc8wWmVi4ttmlIBOiFg3cvCtOiuHbgY0LHPoujT+8W2wuCQEbMYfz7t/3CNLNxQyI1pCTrBnYeYVqN914UdVXk3o4iJtab11euICc7E6mRZYf6goaPtwgRtu5/TVRUijpMrFqPoWoLkUiMsbk9a9d+y569v6NSCSQnJSIx1H6MapWSmCNfUlNRQMioZ7BxC2ryDGg0alSKWkwsOzZGiZ4UQxNL1qz5AiMjY8QSMbKKQioKbusUHnA38tpKClIiGTb/O63aN8QyBlJRkNxoSObfvsyNiK/p0ncG4eOfb2Y02bh2wz1oJJVFaSSe38TlnW/Sa8rrWhttUmMrLly8wNtvr6S+Xo5YDFKpAdIOCl4bmFgi0TPAwsGnMY4559ZpzGxaltnSBkNLD2Jjr+Pi4oogqHF3dyYjI5d6pabdydy9uAaN4PQvS7h1K56ysjIqKysxMjLC2tqaY8cOM3ju9+13cg8O/sP54svPOPjHH+Tn56FWN8TDKuuqMTCx1Lk/AGV9NVKDv0KILB18qCxK7dCzWJZ7i6i9H9Bt2MI2JzUN4T6L8Oj+IOd3voG5U1e8e05pHIOevhEeIWOw8wjj4taXyLm6A9BtkiXRM6C2Vneh/E7+HXQakv8QRkZGLFiwgG+//RapVEp4eDi7du0iPj6eX3/9tbFdQUEBBQUFBAYGoq+vT3Bwyy9ce3v7Vvf9rzFs2EgM9CA34RSuLZRv02g0xJ/4HgcHZ/Ly8iiv/Z2i9Ku4B49uNTYr88ZRchNOM2DWx1rHmDl496Ln5Fe5uu9DDKe908x7CVCen4Syvhp777YF4kUiMZ6hY8mIOdxhQzI77gSGptZcS1cCZdRVVpObchX53vfx6TEFGzfdtBBFEgkajarJNkGjaTfOry3q6uWcvpKIpbMIQaOhrryWvJQo5PU1+PR8sM0PpCBoiI34GmW9jP4zPmhx6VrQNHiVdB2jIAjkJ18gPfoA1ZWlXIovQmpihaDRIDWy5Pbl7fSasrJDXsn06APYe3XXKXbR3N6L0uw4AIozY7kR8Q29przers6khb03vae8zo3j3xO19wP6Tn+3Tc+krDyX1Ki95CaewdalK8eu5SPW00dZV4lKA+c2LcczbIJOtZzvIBJLmlQ7aqgW074wfqv9SaRs2ryJo6cuIZboUV9TTk11OSY2XtTLyjEya1+/8g5SAxNs3cMZOXIIVg4e6BuaolYpKMlLwdjSSSfDTxA0pEbtJu3afgxMrKkzC8HVfTwisZiq42spSI3EI6T1Sj9tUZASibXrX39za5dAitKu4Rk6Tqd+asrzubr/I0JGP41TF+1KFhqZ2TDwkU+5uO1Vbl/ejl+/ppNhYwsHvHtNxVKZTkzsdTR/JgRpg7ymFPsA7Va+Ovn30WlI/oM888wzSCQSduzYwS+//IKvry/fffcdPXr0aGzz+++/88033+i0ZP2/jlgsZv3PG5g6bTJ1slI8QsY2LkMVZ8YSc2Q1CBo8w8YTEu4NgkBZXhKRu97BzMaN8PHPN/moq5VyEs9vos/Utxq311YVkxq1m/qaMqT6xrgFjWwxTs7GtRtd+s0k6cIm+kx7u9n+8rxE7Dy7a/WCdQ0cTtLFrcjKcjC1bv1vJQgCFfnJVBanIWg0GFs4YOXSlYzYw4SMerrJcmjgUBnZCae4dvATuvSZoZMeoqK2Eqlh01hbqaEJitrKNmMkFfUyitKuoqivRk/fCDuP0EYpGrVKjk+vx5oYtYF1VWTFHefK7ncJHDoft24tZ5bn3jpDdXEG/WeuajX+UaInRaynj7y2skXDQhAEyvNuUVWcgSAImFg5Y+vajfjTv1CcFYtfv5k4denfJLvXu/tEzm99meRL2/DvP6v1G9YCeUnnyYo7xoCZq7Rqr6iroij9GmW5iVSXZlNTnk/0oc8IG7dMa7FykVhCyMgnubL3A25H7iBg4KMttivJusm1g5/gFjSCoXO/bpa8FjB4PoWpUdy+vI3ijOuEjn2OysIUqksyATCxcsHWPbhFA1OtUqKS1zTxaEoNjFHKO+6FUtZX49l9MgED/oqrqyi4Tfr1Q5z5bSmBQxYgEolRymuQGhhj79mjTYPQ0Nwep67DCBn5lyZjTsJpsuO0LzMraNRcP7yamvJc+kxrnonu1/chki5uwy1oJGU58cjKcgAwtXbDxq1bm8a5IGjIiD1M8PAljdtcAgaTeH4jtZWFbSYb3svtyB24dRvRqhFZX1NOcUY0Snkt+oam2Hl2x8DYAqmBCb2mvM6Z357DI3RssyV1l67DOL7uN7x9/ChKi8LRt30NVI1aRWHyOaa8t6Pdtp38O+k0JP9BRCIRTz31FE899VSrbZYuXdqu0Hh7iT3/i4SH9+CPQxG8+947nFn/ONYOHsjra6goLcC/30y8ekxuYrw5+PTGr99Mki5s5uL2Vxkw8+PGj0xe8gXMbNywdPRtmLkfWIWsLBdLR1+MzR2Q11YRuett9I0t6DZkAU5+TTPm3YNGknxxK7LyPEzvWfZVyWuaVK5oC30jM/z7z+LKnveajO9u8pMvcjtyB4q66j+XdcVk3YygrqoYI3O7Zl5HqaEp3t0nYu/Zncs730QiNcA9eFSzflsiL+l8s2pA9p7dyUs6h7/t7Gbt5bWVJJ7fSF7SeaydAzA0tUFRLyP+1E/YuofiHjyS+upSLB2b6nXqG5nj22sqdh5hRO56B4nUCGe/5qoE6df/oEvfGe0mON0Zo889kjW5iWdJidyJSlGHtWsgIpGYzBtHkNdUIJEaMmj2Zy0ayFJDU/pMe5tL219HrZTTdfBjWnnnMm9EkHh+I72nrGw34aJeVkbi+Y3k376EtUsg+kbmGJhYcnbjMvQMTVsNtWgNkVhCwMA5RO56my59H27mCawoSOHagVWEjVuGQyve8juxgXaeYZzf8hInf1qMRGqEtUtXRCIR6dcPIWjUePecjEfI2Cbe2oLbF7Fw7NJkCd7KuSuZMX/g23u6TtcCDUZVUfo1QkY1fddZOnYhYOBs5LUV3Dy+Flu3YAxNrZHXVRJ38kccvHsRMOjRFmNwBUGDgVHTv7e+kblO9enjT/9CXVUR/VrxkNt59STm6Dec/PlxxBIp1n/qg6Zd249ILMan11Tcuo1o0dNdlHa1IbTkromh1NAUl67DSLqwhfDxzWWvWkJRV0X+7UstiuHXVhZy69xvFKVfw9YtGH0j84Z7eWIdjr59CBj4GMYWDth79SA77kSzwgz6RmYIgoYF8+fz9Y+bcPDp3e5vIy/pHM7OToSH92izXSf/XjoNyU7+Mbp2DWTrlu3k5+eRnJzEyytexsHvYXx6TW2xvURPSuCQeahVCm6eXEfPia8AkBl7GK/uk6guzebC1pex9+pJr8mvNZnxK+U1ZMYe4frhL1HUVzdZqtLTN8Kl61CybhwhcEgLenE6FHvy6j6Jelk5F7atoPeDb2Bq/ZcBkXZtP6lX9xA0bDEOvn0aDWVBECjPTyL+5I/EHFlD+LhlzV7mptYu9H5wJRe2vYqDT692g/XvfHzujevzCB1H1L4P6NJ3RpMg/XpZGRe3v4aNWzBD537dRBpEUVdNRswfRB/6HEef3q0utVrYe9Nz0itc2fs+9p7hTT7MFQUp1FcX4+jbvji4R+g4bp5Yi3ePSY334Xbk72TGHiFoxOM43FXhRhAEynITiDuxjsTzGwkZ9XSLH3Vjc3sGzPqYqH0fcnr903iEjcctcFizGMI75SYzYo8gl5U1E+xuibqqYi5ufw17714MnfdtE0+qoq6KtGv7ubBtBX2nv6OTRJKFvTcmVs7kJ1/ENXBo43ZBEIg9+hVdB89r1Yi8m5Qru1Ar5YSNfQ47z/DGeyoIAqXZN4k7+QOy0my6DVvceO8yYo/gGTq2ST9OXfqTcPoXKovSdJL/ASjOiEEk1sPGLaTJ9pqKfC5ufx1n/4GEjX0OQxOrxn3ymgpSr+3lwtZX6PfQ+01+S9CQSX/v9ZvZulFVnI6yXtZufKisLJecW6cYNv/7lsMsBIGk87+hb2hC8IgnsPUIveveaSjOjCXuxDpqynLpOnhu077Lc4mN+JaQUU82+y0HDHiEM789R0FKpFa/h+z4k9h5hDXT3K0uzeby72/g2m04wxeubfJOqJeVkRq1mwtbX6bfjA/wDB1HzNE1+PSc0iRsRFaag6mZBbNnz2XTli0knvmZgCELWzUmy3ITSD63ns2btv5XpOM6+f+DjqebdtJJB3Fycsbc3Jzi4mK8uk9qt71//5kUZ1ynrrqE+ppyqkuycOrSl8idb+EcMJjw8c83WzaSGpjg23saYeOWEX/qp2ZVSlwDh1KQcqXZuaSGpo1VdLRBJBLRdfBcPMPGc27zC1zdv4rizFhKsm+SErWL/jM+xMmvfxNvq0gkwto5gH4z3qemPJe0a/tb7NvczqvRs9AeqVF7sPMMbxbXZ+noi6GpLVk3mwrmRx/6FMcufQkZ9VQTIxIavBZ+/R4maPgSirNi29RltHYJxMrRj9xbZ5psz008i2vgMK1qkDcst4rITTwHQFF6NBkxf9B/5kc4+vRu8iEUiUTYuHaj/8MfUvFn2crWMDS1ZuAjn9Bt2GLSr+7m5M+LuXn4U25EfMON498Tfehzjv+wkKybEXiFT2Do/O/aNfwEQeDqgVW4dhtO8IglzZbj9Y3MCRg4B/8BjxC17wM0amW713837sGjyE0822RbWU48KmUdbi3EF99L/u3L5CScYsDMVQ0lJu8yEESihkSs/g9/SHFmDDnxDaU5S7JiqSnPxclvQJO+JHpS3IJGkhq1B10q6QqChrRre/EMHdfE+BAEDVf3fYRX+AN0G7qgiREJDQk/gYPn4dPrQaL2fdAkXrOuqpjS7LhmYzQys8PWPYTshFPtjivzxhFcA4e3GuaRm3iWgpQrDJj1cRMDHBpiou09wxkwcxX5ty+Sl3S+cV95XhKXtr9Ol74PtbhULDU0JXTMUmIjvqGi4Ha74yxMjWwykYCGpLSovR/g22c6XQc91mxiaWhqTbdhi/AIHcvV/auwcukKAlT9GdZwh5y4I8yaNQdjY2N27tiNfn02V3e/QdbNYyjlfylryMpzSTy3npiDH/HtN98zYEBTfdFOOrmbTkOyk/8KmzZvxLnrcK0MDX0jc5y69CMn4RSKuir0jc0pTLuKUlFLtyEL2pwpO/sNwMrZn4Qz65tsNzS1QlnfvPa4tUs3itKv6WQAiEQivHtMYsSiH7ByDuDm8e+5uv9jfHpOxcSq9SVSPX0jug1dRHr0gVaX5zxDx5F540iTj+q9ZN44Ss6t03RrybsKhIx6kqQLWyhIbTCcKwpuU1NRQMCA2W3eO7duwzG1dm3y0WwJj9BxZMQebmJsyGvKtc4WF4nEhI5eSvzJHyjJukFa9D78+s1sU2JIamhK4NAFpEUfaFOnTyQSY+/VHb8Bj9LF159lS2YR7mNGeXYsNm5B9HvoPfo//BEuAYNbraJyN2U58SjqqvDr27akkkfIGPSNLClIiWy3z7sxsXRCXlPWZFtG7OGGpWgt4nbTo/cRMGB2m4lC+kbmdB00l7To/VQUpnLt4GeEjHq6xcQan56TqShMITVqt1bjFwSBhDPrUdbLcAse2WRfcUYMGo0an15tV3rxCp+IWKxHYfpfNckzbxzF2W8A+i14HT1Cx5ER80ebE5472on3el3vHnfatX0EtGCk3Y2BiSX+A+aQenUf+bcvc3nnW1zZ8y6BQ+bjFd56PLOdRxhBwxYRuesd8m9farUdNKwIGJo2naAUpl5BT98Iz7AJbR7r23tagwB7dhwGJlYo6v56x+Ulnaco5SKPL3kCQRCIiorExNSU4uxE4k//RMR3j3Ji3TzO/LKEKztWMKCbPcePnWbChI6Xge3k30GnIdnJf4X0jCxMbLTXSzSz9aAsN4HMmD/QqFWkXNmFe9BIrbT3vLtPoiTrRpNtIrFeE+NNrVJQnp9MWU4cgkatswEADR9on55T6PfwBwhqJW5BbZc3BLByDkBqaEpxxvUW91u7dkMpr22x7nO9rIz407+QfGk7faa+1cyzeAcLe296THqF2KNfczvydzJi/sA9aKRWRrxn6Diy4lov/wlg790TWWk2qrs8Ghq1sklJyfawdulK2LjlXN3/EeV5SbgEtF9T3tY9BBEiSnPi223r6NuHWwmxzJo1h6++WougqsPC3kenpWeArLjjDRqVWhh1nqFjyboZoVP/YokUjbpp5n1ZbgIOrchV3Y2sLIfq0pxmXruWsPfuiaKuiks7VtJt6IJWl1z1jczp8+CbZN44Qvypn5oYJvdSX1NOzJE1lGTG0uvBNxrFv++QFXcMj9Ax7S6RikQiPELHkv2nF70k6yaZsYfx7tFyxR47j1DMbNyI/uPzVieAdbISxHr6rSbFVRWnI68pb1UW7G6cuvSlpjyXW+d+w8mvPyOW/IxL1yHtHufSdQg9Jr5E/OmfuXbgE2TleS2207RQljM77jgeoWO1uHfihnv352+2ujiDvKQLRO5YQfyJb+nXbwBbt27miSeXsOyFF1BYhDP66c2MW7qdUU9swKvHFNQqOcuXvcCnn3zeWOKyk07aojNGspP/ChKJuE0v270IGg2iuiKCgtwpvK1EUVfVLAmkNcztfVAp6ppsU9bLQBA49eM8REBdnQxHR1fCu/dg8LzH2H80Amf/gbpcUiP11aUYmFq36D25F5FIhIW9N7WVBa3ul0ikZMb+gY17GGKJXoP+5K2zlGTF4ujTh4GPfNyYZd0atm7B9J/xAYkXNlGaE0/o6LYTuu5gYe9DbUXLY7tDQ01hfdKvH8LKyQ+RWA+lvAZFCx7ftnDw7knA4LlkRB/UqsqNSCTG3N6rYXxu7ZR60zcGRMhk1ZibW/Daq2/wxdff0XvGx1oZ1HeorSzQymiABkHt25G6Zboq6mUIgkBxZiwiEdRVl6Coq0bfsP0EsJqKggZ9Uy0ke8RiSWP50PaE102snBgw6xPiTqzjxE+LcezSD7duw//0mgnUVRaREXuYksxYHLv0o//DH7YYr1hbWdim1+5uLOx9yIg5TH7yRW4c+5awccsws21Z01IkEtN9/AtE7fuQyN3v0m3owmYTBLWivplh22RsFQWY23poNfkRS6SY2bjh3fPBNkXPW8LWPZQhj63h/MZlXNzyAnZugVi4hmJh74ORuV3D711P2my1pKaiAAv7tquD3cHC3oe8pPOo5NUU3TpMTW0tYok+biHjya4z49r2fdRVlTFw9qdNdEv1jczx7jkFe5/erPl6JcHBwQwfrl2iXyf/bjoNyU7+K4QEB3HobALcEwvUGrKiRJ5f/jxz5y4gOKQrsnqV9qXHBE2zmXxRWhTDho/gs08+xdLSBNDH2Ljh41dXV8fvO0PISTildXWTu6mvLkWj0r7esyC0rfUoEYOTcTUVKQdRKpVoNBpkxQUMW7AWQx3088xs3ek1+TUu7nhd63snCM29Iy03VONoUExZShJKpQoLfTklaZF4axED22SM1m46GXZCC96bltColQiCBiOjhgzyBQsWsWffHpLOridg6GKtEwlEIu0nQA1Vj3TTxyxOu4KVqT7VSXsRBA02NrYYGhqi1uJ5ulcHsj3EEqnWHllDEyt6TlpBXXUx1/Z+QNLJbxAEDWKRCCtrG6oLcugz7a02JY8a7p22z50GeW05CWfW02PSCmzbmShIpAb0fnAlyZd3cHHH65haOeEWNLphiV/QUJaX2Gbss66lDNVqZYelkWoq8tETa7gak8Dhwwc5d+E816N+paSkEAEBEFOQEomt+1/Z37qMTxDUCIIGtVxGvVoP336P4B40qvH5yLh+iLBxy1oVvze1csa7zyw+//LLTkOyE63oXNru5L/CY4/OIzfpXJMA79aoqSigJDue6dNnIJFIWDB/IWjUFKVHa3Wu4qzYJh4SQaMmP+EYTz/5NO7uHnh4eGBu/tdL1cjIiG1bd3D7/PrGuEJtqako4PaF9agVtdRWFrbbXqNRU5odh0UrJSFrKvIRNCo2/baFk8dPce7MeU6fPIOBvpi6qiKdxnYHqYEpxRnX2m8IlGTdaLdcZWVRGiamZmzf+jsnj5/m3JnznDh+hpqybKpLs3Uam5mNGzUV+dTXlLfbVq1SUpZ7SytjqDwvCSdnd6TSBiNVLBbz24ZNaKpSuHX6B9Qq7WJize29m4VJtEZJZqxOS+cqRR35SWfZ+ftuTp88w5lT59i9cw9+/oGU5yW2PzZbD6pKMrVKFlMp66nIT8LcVvvxQYPxWVddyNnT50lOTCXxVgqXLkTi2yWAellZm8ea23lRkq3dvSvOvI5YJGbYgu/bNSLvHlvAgNl4h0+gi7sd9qIMFJkRaPJO4+8gINUTU1Wc3uKxZraeVBSkNFu5aAmlvIba8lyK0y7pXEdbo1aSevE3FsxfiI2NDXPmzGXd9z9yJfIqWZm5yKoqOXHsBIXJ51Ap6xuPs7DzpiQrVqtzlGTdQCQSYW5hiXv4lCbxtaU5cUikBu1qnDoHDOLGjevk5Oj2++3k30mnIdnJfwUPD0+GDR1B0tmf23wZa9RKYo9+Rf/+AzE3b8i2fPTReaiVtRSkXEJeW9nmeQRBIO3qXpz9/4q5K8q4joWZCf37t750HRoazqaNW0k69R2pUbvb/cAIgobCtCiidr7G0088wbRpM8iOaz8+rjD1CvpGZlg6+be4PycugmnTHsLY+C8tRqlUyvx5C8i5cajd/puPU0BdX05B8oWG5f022zYILHu0kqBwh9y4Izz26Fwkkr+8byYmJjz88Cyyb/yh0/j0jcxx8OlNZuyRdtvmJ1/AxNJRK2ma/ISjLFywsMk2Gxsb/jh4FHujGq7seIkyLYw118DhZMcdb/KRbwlBoybzxhE8dKhokh1/gu49euHt3XQJc/HChRTcajtOFRoyd+08wrTK8s+9dQZzO+9mEjvtjvFmBCNGjMHBoalKwoJ58yi41bYw+J2YUbVK0WY7jVpJQeJJ9KViKovSdBqfRqOmIOk0b77xDls3b+PY0eMcPnSEDb/8yty588mJO9ricSaWjlg5B5CjRfZ3TvxJ+vYdgKW+klunf9TaC6xRK4k79hUeTpa88MLLrbbz8/MnKDiU3Ft/Ze97hI4h88bRZvGz96JWysmOO059ZT6VFeW43/P81cvKMLV2bdcDryc1xNzSnoKCfC2urJN/O52GZCf/Nb75+lsMVcXEHPqU2ha8a7KyHK7seR+1SsHlyEg2b9kIgIODA9Onz0RP34hrB1a1mq0pCAKJ5zdSLytrrHBSLysj4eRaXn7p5XZfpgMGDOKPQxGYqzI4/ctiEs/81MzDpqirIu3qXi5sfIaC61tZ/cWXLF/+IkufeZa8+GMUtZJEAw3exriTP+DbZ0aLY1HKa8hNOMmihUua7Vu4YAm1Jclk3Wjf4LqblMtbsDSRMG7cA8QdW9OqJ64h+3YDEj2DZiLndyOvqSA38Tzz5y1stu+Zp5+lNOMKeffI2bSFIAiIBQ3p1/Y2lhxsierSbBLOrMe3T/t12WsrCylIu8bs2Y8122djY8O+PQdY8cIyEo5+RuT2l0mPPkh5XiLKehlqpZy66lIK06JIPLeB6/vexdTUlLiINa1+1AVBw43j32NgYqV1mcvyvCTSr2xn5Wsrm+2bNOlBZGU5WknH+PSaSsqVnW16MKuK00k89ytikUanpfDizFiyYw/y8kuvNNs3Zco0KovSqSrOaPV4CwcfLB26EBvxTasqBYJGza1T6+gWGMjChYvJvanbRKQgJRI7Wxt6926ePDR/3kLyEs+16jn17T2NpItbqSxMbbX/ioIU0qN+55WXV7Br514MlfnE/vFJM5md5sfdJnrfezhbiti8cQv6+q3HsV66dIG6Whm3zqxHVp4LNIjDm1g6cfPE2lYn3hqNmpijXyM1MMbLywcnn57N4kLFegZarQIJgoC8vqYxFKSTTtpCJOgiENbJ/9cUF+uW/PBPcPbsaR6ZMxO1WoONWxAWdt6AQFleIlVFabgFjyJgwGxkZTlE7X6T4xGn6NLFD7lczsTJE4hPSMDA2BK//o/g6NMbsUTvz5KESdy+souynDj6THsbKyd/6qqLidz1Doq6cj549wPmzl2Anp4YKysTystrUKla94xGRl5mzqOzkMmqEQQNevomqFVyNCoFevqGvP7qazz55NImBuGpUyeYv2AuLkGjcAsa3ah1qaiXkZNwkpQru/DtNbXFbFS1SkHMwQ/p370r33+3rsUx3bqVwKTJ43ENnYxn90ltGsaCRk3yxY1UZ1/l6JHjWFlZ88jsmSSn5+Le/UHsvXshFksaBb9Tr+6lrrKQPtPeblVKRqWoI3rfO0wcPZSPPvqkxTbR0VeZNn0KPv3m4BY0qs0xatQqEs/8gKYyjZdfeoUXX3oe1+BxuAWPakwmUvxZnjHlyk4CBjyKZ1jbHj9FXTXX9rzJvDkzeeXlV9tsu3PndpYtX4qhuSMqRX3D5EbQINEzQN/YHLVcxqqPPuHBB6fz8MzpZOaXN9w7z+4N8Wd/Cn5nXd9HZVEqpjbuhE14pUm1mJYozrjOzYjVrPlyDZMntyzO/+uvv/Dehx/Ra/oHzYSq7yUv+QKxR7/Gu8ckPELGNv795LUV5MSdIDNmP2+98Rabt26mvN6AoFHPtat+kH/7MrdOfsvPP61nxIjRLbb55ts1fPP9j/Sc9n6r8XdKeS1X9ryLSCzBt9c07DzDGmInBQ0lWTfIur4XaxMRe3fvQy5XMGToAFy7T8ctqP1YPVlZLlG7VvL9t98zduz4Ftu88+5bbN99gO6T32qxglVOwmniT/2Ed8/JuAeNaqxWVV9TTk7ccbJiDvD5Z18ybVrDBKampoaPP/mQ337bgNTUHu8ekzG39USib4hKXktlYSpp1/YiUtWwePESli97sVUjUk9PzJ49O1j63HK8ez2EUiknK/YIvae+iZmNG4q6aiJ3v4PUwASfXlMbVAtEogax9IzrpFzZRV11MU72VsyeNZvN+88TOOLpJudQ1FVx4qclzYT076UsN4Hbp7/hRkx8k5WG/xZ2dtpVG+vkv0OnIfkv4n/RkFy4aD63ywxxDxlHXtI5aisKEYlEmFq74uQ/oMmMOvHsLwwMduSTjz8DQCaTMW/+Y0ReiUStafCu6BtZoFbWoVbKsXTyI2TUM0gNTchJOElq1B7cg0fj6NuHqF1vEHczEWtrK60MyUmTH6BEaYnfgMdQKWpRymuQ6BkgNTSjJCuWWye+5mpUDNbWNmRmZvDL+p84dvwEtbUypFIp+Xm5mFrYIpcrqJOVYe0SiG+f6S3Gf8nKcok79hVBfh5sasd7kZaWwvQZ0yirrMW7x2Rcug5tUpJQUVdF1s3jpF8/QBcfL7Zu3t64LKlUKtmyZSPfr1tLYWEBxmbW1NdWI6+rQd/Eih4TX8asFYmmquIMbh5dzcB+Pfhh7U9tfmzi4+OY9tAUFGop3j2nNGg23mW41MvKyLp5jPTrBwkJCmLL5q1YWVlz61YCX3/zFQcP7sXE3BaRSEx1RSH2Ds7k5eXi4NObwMHzWjV0KwpSiD+2hvFjRvDF52vaNGIvXbrArEceJnzi61g5N4QZNLwahUZh6oKUSG6d/Jbjx07h5ubBxo0bWPvDWkpKSjE2s0JeW4WxsRGLFixizpzHePzJJZw/fxb34NF4hI5tUjZRo1FTmHqF9OgDVBamsGnjVkaMaNtYWvXxh/z48890G/nsn+U2m1+Poq6a5EvbyIk/ga2dPeVlxZhZ2gMiqisKGT58NM8ufZYePXpRW1vL4iULOXX6FB4hY/AIHdtE2F+tUlKQcom0q3tR1ZawdcsO+vZtXgrzDoIg8PIrL3DgjwiCxjzfanxofU0FV/d/RHVJJoaGRhibWVFfU4mBgT5dfH3w9fEjNDSUqVOnk56ezoPTJuHUbRzePSa3mJHeYMDf4ObRL1nxyqs8vuTJFs7agEaj4fkXlnHoyDEChz+JtWu3ZvexouA2yZe3U5IZi6GJJUZGRlRXFOHk5IpKpcLQyIiBAwayaOFi/P0DkMvlhIUHYewQTE1FHnVVxagUdegZGGNi6YiBsQX6ykIuXbiCWNz6IuC5c6d5bO6j9Hjw7ca45PTrB0m+tB3vHpNwDxqFnr4RGbGHyYw9glolR9/QDHldJRI9ffT09PByc2bH9p1cvXqF5S+/Ru+HP2t2fTFH1iCWSJuVr/zrHqm5vv895j48keeXv9TqeP9JOg3J/206Dcl/Ef9rhmRFRTnBIQEMmvtdsyoXLSErzyVy+yvcTs5oNK5UKhU7d27n2++/IzMjHTP7LhhbOmDl5I9GraI8P4m8pPPYuofgGTYBuz/r4MYe+ognHpvGk08+1a4heetWAuPGj2bIgh9b9dzcOPwp82aMxcXZhWXLn8XZfyB2Pv0R6+lTmhVLzs3DjBo5ivnzFjDzkYdRKBRYuwTiFjQSY3M7BEGgtrKQ7LhjlOcnY25uTvzNRPT02hdW2LDhZ1Z9+Q0SAwvK825hbOmEntQQlaKWmooC7DzDqSlJZd233zJy5JhmxwuCQGpqCuXlZZiYmGJtbU2PnmFoBAFb91Dcug3D0NQWQdBQU55L1s0IqkqyMDM14VZ8cpsfxzs8Mnsmt3JqqJeVUVmUiomFIxKpIUp5LbWVBTj69EFZU8TSJXOZP38Rhw7tZ8fOnZSVlWFhYcGgAf3p06cf+vr6TJw0nn4zPyHlyi7yb1/C3qsHrl2HYGBqjaBWU12WTdaNo8jKcujduxd7dh1oN4zhgUnjqTMJajceNOn8b/TwMeWrNd803ruUlNtUVVXg6uqAo6M7gtBwrkcfm83tIjEajZKcW6cxNLFG38gMtUpFXVURhqbWuIeMIfPaLrZs3EyfPu1LyTz++EIO/nEIA1MbPEPHYW7vjUQiRV5XRX7SefKSL2DnEUbAoLlc3b2S9T/9jKmpOdeuXeHM2XOUlJZiZmbG1ClTmDJlGidORPDiq69jah9AXtI5jM3tkRqaoFYpqa0sxMTSCXM7T8xFJZw8frrd8QmCwFNPLWbvvr1YOvrhEToWM1sPxGI95LXl5N46S27iWaxdu1FTks7HH36IgYE+777/LlXVtdj5DkAiNURWmEhZXhKffPwZFhaWLFy8AJFYD7egkTh16YfU0BS1Uk55fhKZsYepqypm1MgRbFi/Sasx9uvfi5z8QvSNzHEPHo2plQsisQR5TRk5t05TkZ+MCIEtm7dx+Mhhtm7djFvQaGw8G+pNl6RHkfP/2rvvuKrqP47jr3vZQwRlKQiILAVRBBfunbm3mZa5tV1Wtq3MbGpq7pGVaaWWZu6Ze4sbJwgKiAzZ3Av3/P4g+Hm9l+EtR/l5Ph49knPO/d7v/Z4L932/53u+3zNbeeetd3FycuLDT6cS0WdyKc+nY+/3zzNv9iyaNm3Gxo3ruHTpIpaWVrRu3ZY6dYIB6NCpHbg2oUaw/vyzadejuXJsLUmXD+Hm25CqNepibmlDzq0kcm8lkhp3nKpOjowZPYYnn3wKa2trCgoKCAmtTVD7l0vWCy+Wn5POnuVv4urTgIDIJ/SmKcvNTOH8roU42xaw+re1WFuXPmXS/SRB8uEmQfIR8rAEyXPnzrJg4Xy2bN1MSuotOoz5tsKP3TJnMAf2HaZaNcNVU44dO8IXX3zGngOHsHOqgbmVLfZOHtSo295glZSY4+uo5ZDGnNlz2LZtA9u2/Ul2Ti7u7q706d2fwMD///GdOfNrfli9izrtjH+DB7h+fi95MZu5cuUiDbq/i1O1AL39+dnpHPn1PV55cRzvvD2BjmO/53r0Lq5H70GTW3TDkJWdE9UDW+DqG862BSOJj0smIyMDS0sL7O0r6YUhjUZDRkYGtra2TJz4Lvsu5ODfuB+5mcnk3LpBgSYXCytb7ByrY2XnyNntc3myWyS9e/clOrpo/Jy/fwCenjUMXktU1DEGDh5MeO/JxJ/ZRsKF/WhyM1Cp1VjbVcGzTmtcfRuyadZg4uNv6vWYHj9+lIMH95OXl4+rqyuPPfY4jo5O+Pl7E957MnZO1Yo+ADOSKdDmYWFlh30VDyxtHLh6cjPWmSeIibmE2rIyLgGtsbavSm7GDZKit2Gp0tKqVSv2n06iTtuiXqf8nHTiTm0l6dJBNHmZqNXmWFdyxrNOG2wru3Fy3SecOhld5gfixYsXaNe+Na2Gzy9zrkGAnIwb7F36MidPnKVyZceS7XcOkUhPTyMkJJDWw+dhaeNAgSaXzJuxaPOzUZtZYGXnVHLTw8X9PxHiqWbWzNllPreiKIQ3rE+1Bk+CouPqqS3k3EpCV6jFwsoOF+/6eIV2LBkGcGHfMmo65nL58iVupmfiHtQOO6fqaHIySL64i6yUWJpFNufyrUr4N+mPNj+bzJQ4tHlZmJlbYV2pCvZOHhRo89gwYyDXrqWQn5/Pxo3ruH79OhYW5tSrF0aTJpF6781Bg58gQeOOuaUtcae3kHPrBjpdAZbWlXDzbYhXaCfsHN05v3cp4b42bNu2lSr+bfCN6K23LGF64gWO/T6ZQQMHsmn3cbzC+xEbtZ6UuNNoNUVXBOyreOId2hFNbiZuqhgWLlhMVlYWlSpVwspK/0tfdnY2eXl5ODg4EFqvDsGd3yI38wbxZ7aTl5X21xWNSrjVaoRHUEt2f/cs773zLh9N/piI3pOwc3TXK69ouM27hNSpQ5ZN7TLnyIzesxR3q5ucPHkSq0rO2Lv4odPmk3T5IEFBtXnlpVcYNWZk0ZfVUuYBzctOI+7UFjJvXiU/O43Mm1fo0aMngwcN1jsHRavWHGTKp5M4fOQ4Lr6NqObfRG/Zx/zsdI6s/Yz0xAt4BjbBwsaRrJtXSEm4iJmZGWZqNT41azFi2HD69OmPjU3587reSxIkH24yj6S4b7KyMhk1eiR79u7Gs05bnOt0I23/T3dXiJHvPYmJCSz5bjF79u4nLS21ZP3rsqZeURSFCxcuEFTbH9vK7jh41MfMwoqD0WeZO689wXVCmDb1awICAtFo8lGZlz2GzNzShsTERLxCOxuESChaWs2/+TPMmj0blUqFSqXCp/7j+NQ3HMuVm5GMWm2Gf4APGk0+hQUF+PkHMWb0GPz9A1i4aCF/rP0NlUpNQYGGah5e6KzdURQFm0ouRicn1+Zns2z5Uj797BOquPmgUqlISYqhUaMmjH9lPFZWVixavJDo8xfQarVkZ6ajK9TiG97D6BhObX4OAKdORREWFsHGjeuZPGUy8fHxuNZsgMrMCk3WDV5/41W6d+9NQWEhqr8uf9tWdjNYGx2gQJPD8WOHCWo5DK+6+pd5vet1Jvb4Wn7+ZSn1Or74/3a1dcSvUR/8GvUxel4sbR05duwITZuWvtrLsWNHcPEKLjdEAtg6uFLJyY2zZ8/SuHETg55OjUbDtWvXuXLlEjb2lUvGCppb2uB0R89QMbuq3ly4sI2lS78jJycbZ2cXOnTohL29/ofn5csXSUtLo17NBqhU6nJXu3Gp1YgtP72Nb4MuNH18sF5da4S0I/HifrZu/BrfRkXj/Sys7Ax6rwDU6qKPiTffep0VK37G0c0Xm8oeKDotKdOm41i5Eq+9Op7+/Z9AURQSEq6jq+KKs3e9Mld3srSrQlTUfqycfKjVsK/Bfkd3f2q3Gc2vq7/Fyt6Nyq6+hHZ41khJcPno75yIPoGPTzXMzMwpLCygbbtOjB41muTkG8yZN5eTUUcwN7dErVZjbmFJRnIMnnVa4ebb0KA8na4QrSaPxUuWUKvJkwYhEsC+iic1G/bn4ok1eIY1KPV1AphZ2HDw0CEieryj9z4I0o7gytHfGD1mJFVr1CtzMnlrOyf8/7q5rFCbz+FVb9OtS1e99/bu3X/y+oTXuXEjGVf/5vg27I0mL4tT2+ahKDoCmj6Bg7M3105vJi89nmlTvyYrK4sNG9Zz8GwstcJ74B7QHHMLa9ISL/D59HnMmjOL31b9jqtr6UuWikebBElxX+Tk5NCzd3duae1p/dclYm1eFqe3LyAvK7XMtYGLZaVeQ61WER8fR0LCdWrW9GX+gnnMmDGVav5NqeIVgX1Vc1ytT7Lvl3dw8a5PvY7PG1yOVhSFq8fXojYzo26Xt3B089PbH9jsKWKOr6NTp7Z07NSZvXv3kJ2vENSy9HW906+fJjMznXpBhhOYF2hyyU67jrmVLbduZVC/QSOun/sTbyMhEiDuzHZsK7sT3u0N7Kt4oissIOnyISZ+/Am5Wen4RfSk9bC5WNtXoUCTy7Vzu7hw4GeOrZ9K2GMvGkzQrc3PIT56H77h3WnV/p2SS1na/GyunthM3/59MLewxKtuRxy8O2JeWICTxobti8YSEPkEtSJ6GtQx4fwerO2d6D9wIJYW5mRmZVCnzRhadmiiN6F4TsYNDh1aiU5XNL+dV0h7g7KKxZ/eikftNgYhEopW+PEJ60ZqwnluxBylWkDTUssp0OQSf3YH187sICv1BsNGDKNF8xaMGjmK8PCGZGVl8vPPy/lj/Xqys7MpLCwgLzun3MnNczOSiT2xkbSbCXTv3glzcwsaRDRmzKgx1K9fj4kfLGTRosXodAqFOh0FBQUoilLuZfVCbS5nzpxm2rxlmFnakJ91k5defoF+/Qby/nsTiY2NLerB37IZHeZ6vXZlSb5yDAdXX/wjBxutg7tfE+LPbOfmlSP4NTR+kw9AcuxxrGzs2XEwmkb9puhNGaToCrlx5QhvvfseK1b+QkzsVa5di8fc6hrn9y7D0d0f3/AeuPlGGJSbn5lMYtxVgju+Uupzu/k2JHrnQjJunSc3M7nUFZziTm6ispsf7Xt9gqW1/V83ZW1i0JBB2FaqSs3w3jzW8nXMzC3JuZXE1RMbObl1NqjA08hKRUmXDuLh6cX5c6fp2O6tUuvnWbs1p7fNw/76qTJD842YI0VfMu8I6mYWVvg1HkB+TgYp8WdKfTwU3YyWeHE/MVHrSY0/g9rMjKeeHkTjJi0YO3oMAOOeHUNAy+EEPN4c9W3v5cDIQSTHHufoH19gaa5m6NBhDFvwOV5e3vz66wqOnzxN5KAv9a7c2Di4UM2/Kef+XMSgJwewedO2Ck/cLx4tEiTFfTFlysekZJtRv8sLJR/WFtb2uNdqzNVTmwloMqDcMmKOr0WjLeCpYcNRqdSkp1zH3MKG+l0mlIx9hKK1cAObD+Ho2s85+scXRPR4U+/D98KBn9EWaGk58FOjd5eaWVhhZedEnkbLkQvp1Gw+mqPrviI55hiuNQ17HvJz0rl2eiuFBRq9ic8zU+K4cmwt18/9iaWtI2q1Gbk5WaSnp5EU/TNVveoZzOOXkXyFK0fW0KjXuyXrAqvNzFGpzdDk5dJ80Bd6jzG3tME7tCPVA5uzf8V7nN39A3VaPl2yX6cr5MTmmThVDyKo+RC95zK3tOHm1SiqeNalQZdX9XpDitYTTmD/yvcxM7fU6znNz07nwoFfCG4zGvdaDUm6fJiTW2ajzcs0WJXG1sGV4HZjyc/N4NLBFXgEtjA6zjTj5lWy0q4T3q3sO6trRfRi/y/vUbf9GL0PymI3rhzh2LqpOLr74RveA7sqHugKtJyLOcKAQQOp7u5ObOwVnGvUwdk3Eosq9uSnJ5B1eS07vn2OiB5vUamq4eX+69G7ObFlFtX8I2nS90Psq3hSWJBP4sWDjH/zHTLTb+AR0JQGvT7EwdkbRVfI1gWjSIk7hbNX2RNqXzu3C9+IniW9TQDZaQnsOPAjv4XXQ6vVUiO4PZ7hT3By29y/VswpP0zGnd5KSJsRZX7412k9nB2Lx5GeeMHokqOKrpBLB3/BvooHdR971aAsldoM15rhXD21lcNR56jd4imCu4ejUptRoM3j+rldnNj8DTUbdNMLq7pCLQnRO9Hm52JfxYP87HRuxBylQJODpU1lXGuGY2Fli0ptRmUXT/y9XDi3fS6hj79u0Gt3+chqCrR5hHYYV/L+s7RxIDs1AUe3ACJ6vKn3GNvKbgS1eAr3gEj2r3gfWwcXvQm687JSubB7Ce4uTqBSl9lLaG5pg9rMnIQL+/FtNMBoz+WtpEukJ5ynYY+3Sy3HN6IXsSc2Fy2HaeRuck1uBodWT6awQEPN+l1o3Os9zCys/voi+SevvPEmmWk3qPf4K7gb6WFVqVS4+oTR/InPOLTybbp26YaXlzeKovDZF5/j3/wZg+E/xY8LajGU3d89y/79e8vs2RePLgmS4p7Lycnhh6XfEd7rI4MeH5+wLhz6bRLVA1tg72Q47rHYrRuXiTu9nYjub+DiXTSvYW5mCjHH13H0jy9o1POdkrttoWhC3fCur7Pzuxe5efUkLt71UBSFm1dPcuXIakI7vlDqFCXpiRc4vWMhkf0/prJb0eTQ9To+y7F1XxHSdiTVApqVrMmblnCec9tnM6B/f7Zt305aQjRuvhEkXjpI1Iav8arbkZZDppVcyi3uLVMSlrFn2Wv4hHbE2ScCRVFIvLiXuNPbCWkzUu+1AFw88At1Wj1T6gTSFla2hHd9jR3fPoedozuVnL3JSokj9vhaNPm5tBz8lcFjkmOOk3MriZZPfY2ZueGyhHZO1YjoPoF9P79NtYBmqNRmJJzfy8WDK6gWEIm7X2NUKhXufo2xc6rO7h9fw92vidHe5fqdX2XrvGc4+vtkgtuNK2kPRVFIS4jmxIYvsbK2w86pmtHXV6yyqy+FhRo0uRkGN2glx0ZxbN1UGnQdj4t3fb19ju5+1IzozbH1X2FZyY26j72mFxBqhnUj5vg69v3yDs0GfqoXCJJjjnFy61wa93pf/z32V4ivEdKOqA3TyUhNKAn/KrUZPmFduHRoFVVrBJca/DJuxpJ67Qxhj+v3ytk5VaNup1c4tn4qugINAc2fQlF0RO/9kZuxUbiUMbcnFN3gkZOeWO4KJrYOrtg7VOXomkmEdHwJF+/6JWExLyuV6F0Lybh5lbYj5pcaSC8dXk1+dirNn/xCb3iAuYU1XnU74OwVyp7lE6jsWqvk9/DCvh/x8/UlPj6e4xunk3b9HFU9Q7C0qURu5k1ObpmFR+02BDUfTPatGzz37EdMnzGNA8vHUz24Ew5utcjPTiPm+DqyUuJo0u8jvS8xuRnJXD+/h3YjSh9z6OjmR0DTgURtnE5I29GYWViRcvU4McfXF4V11/aoYq+SlXqt1N+7WzcuY2dnz7hxzzN77kRqt3225I56RdFx48oRTmycTrWAZnqzKdzJppIz1vZVuHXjCi7eoXr7Cgs0HPx1EpWcvajbfqzeF6ii92AnagS35ei6r7hyZA2u3mGlrhluX8UDr3pdmTV7FosWNuLcubMkJSUR2KX0YRIqtRnuQW34cdmPEiSFURIkxT33xx9rcHD2ppKzl8E+p2oB+DXuy76f36HB468YTMehKAo3rhzh+PpphLQdVRIiAWwqVaV2iyFUdq3JoTWTaTtsDuaW/x8UbmZhhXdoJ05vm4ObTxgZSdHk56RhaWmNWy3Db+3FLh/9Hd8G3UpCJBRdYmvQ9TXO7lrC6Z2LsKvshhlaCvOzeP75F3h23AvMnz+Hbxb+iKVNJaI2fE1E9zcNJqQ2t7TBp15nqvlHcvCXt7AruEZy1HkURSE+5jINe75jMCVQRnIMORk3qBZQ+tQrUNTT4uYTSvr5DWRetsDdvRo56Qk0GzxNr6e0WOyJDXjX72w0RBar7OpLpao12DznaUBF1RohBLcejruf/oTPlarWKLN3WW1mjm/D3mTF7GLvj6/g7BGApY0jWWnxFOTe4tkxo5kxYzq5mSnEnd5Cxo0rqFRqHN39qRHSriT0K7pCFF0h2twsvSCp6Ao5uWUWoR2fNQiRxczMLWjQZTz7f3mXqyc36d0coVKpqBnWhbzMm0Tv/ZEGfwU7RVE4u/t7QtqMMAj3Ja9NbUa9x15g1w+vkHTpENX8i+6+9qnXmYTo3ZzYPJuQtqMM2jkjOYaDv35E7RZP6d05e3udQtqOYuv8ESWXdb3rPcblI2twvi3wGVOgyQNVUc8flH2jhKWVDWNHjWTJd4u4tEeNg6svBflZ3Lh6iuoeNfCp28Fo/aDocuuVY2uJ6PZGqWNMbSu74deoD1eO/Y6FlR1Xj69GybrGNwsW0btPT6pWr0bYYy+VzNkIRZP1n931HXuWvY6tBURGNiMyshlbt25iwaJFxB4qmuQ+PzOV1s98YzBXZ9zprVQPaGa0d+92NYLbcn7PDySf+AmVSoWjoyPm5uY07j8F28pu5Gelcenwr9Tr+JzBYxVFIfbYap4a8jSvvDweVxcXpnw2hfM6FXaVXclIvY6DvS3BwXXQVA4kLyuV5JhjFBbkY+PgiotPmF4oVKkgJf6EQZCMP7MDldqM0PZjSx16oTazoMHjr7D7x9dJvLif6oGlr9rlGdyezUvGkpKSQnLyDewdXY327t/OprI7CYmlLxAgHm0SJMU9d/nyJWyrlr6MnW+D7lhaV+LY+qlY2jhQPbAFFtb2aHLTSYzeSU5mGqEdn6eav/FxcdUDm3P11GaunfsT71D96W1cfSOIi1pD2whvLlzUcunyZZJT0ji8+hM8glrg7h9p8AGfdOkgQc0HGzyPi3c9nL2+5FbSRQ6ufI+vvpxGjx69OX78GIsWzSMvLw+1No1jf3yJX+N+Za5qYmVbmbDub3Hgpzc4dfIcN24k0fGxjkbnlcxOu46Di4/BZWNjKrkF0KJ2ZT755DOuXo2lZatmpfb0ZiTHEBg5qNwyXWqGo9beolbL0bj6lH5TgWvNBlyL3qW3rWiOv1MkXTpATsYNMlNS+PyzL1Gr1WRnZ+Ph4UHr1u1QqVTMnDmDHYvH4e7fBLdaDVEUheQrRzm//ycCIwfhG96dGzHHqOTgyOmt02nQ/d2SgHkj5hhqMwvc/cqeQketNqNWw96c/fNbfOp3MQhjNcO7s33hGPJz0rGydSQ98QL52elUCyi7J0atNsOnfhdio9aVBElzSxsa9/mAY+u+ZMu8YdQIblvUo1qgISF6F6nXo6nT6pkypxyytLanWkAk8Wd24N+4H151OxB3agtn/1xC7ZZPGw2TBdo8Tm74girObiReOljmuNSstGvcSk1kxIhRvPzyeHbt2klMzBVsbGwwNzfnrXfewqwgjlPb5uHi0wBXnzC9MJN67SwW1nY4GrnB7HaeddpwZsdi8lMvM3ToMMaNfY5Bg5+genB7AiINf9fsHKsR3vU1Dq/5BB9X65J5Sjt27EzHjkWT0E+fPpVlfxwwOuF7dloCTh7Gb266nYWVHVXdvPjqi69o1KgJdevVJrTz+JIec7/Gfdmz7HXO7voOv0Z9S3oVtXlZRO9dSvaNc9jbt2D+/NkEBARx7MgJjhw5REpKCm5uboSHN2T69KlMmzmbs38uwblGXSys7YmN2sDJrXMIjHyCGsHtyLmVhDb3FtdPb6Z6YAscnIvmb1UUhdio9fg36V/m+F0oCpM1G3Ql5vj6MoOklZ0jZpb2dO/RhQZh9cm+dbPc4RL5mSk4u5c9Eb54dEmQFPecouiKvm6XwbNOG6oHtSTp0iGSY46QcvI44WGh2Hp7kF/psVJDZDGvkA7EHF9nECS1eVloNVqWLvsRzzrtqBY+GA+1OTm3Erly7A9O71xE3bajS3r7FEUpGutYymokKpUKR3d/bOwqc+1aPK3atOBmShrONUJAbU6hmQN52QlkpyegycsqtScHwN7Jg6oeQfz883Lat+9IQYGWtIQLRROyV/Us6eFRqc1QCiu2lJ1SWIiFZVHgNDc3p7CwsNQbPoq2VWD2r+LHl3PonR9GSZcPcfbPJegKtVQPaomzVz0c3f35aMqXFOTd4rXxr9O+fSdUKhWTP5mEmZU9rQd+gY3D/2+o8AppT1bqNQ6smggqFakxBxj/yniiz0fz+7JX8Qh5DM+QdiRe2IdH7dYVuhnA1SeMqE0zyEqNNxgPaW3nhH1VTw6tfIeqXmGkJ17ExbteqZcKb+fu14jT2+frbbO0qUTjPhNJuHiAU5umY1sQhArIvHGR8O5v4upTv9xyHZy9yUqNB4rD6UQOrPqQ9J+j8anfBXe/xqjNLP5aUnM7105toHFEGN27jePdDyaVOi5VURQuHliBhbU97773DtO/nkmrVm24efMmH3w0EU2Biqp+rbC0qYw2L5Ozu5ZwattcAiMH4Vmn6KYyTV4GNpVcym13Cys7bOzs2bxpGz4+vpw6dZKzZ8/QatjLpT5GpVIT3GYku79/kZ07t1O/fpjelEsWFhZoNTmkXY/GzNKaSlVrlLz/VGp1hX9nCgsLMDe3YOPG9agt7PWGA1jbORE5YDInt8xh6/zhVPEIBhRS4k8X/Z46VOXnDQdB0ZGeMANrCzPGjXuWEcNHoVaryci4xY/Lf8SxWhB1Wg/DyrZySdunxJ/i+PppaPNzyE2Pp0/f/rRu2YxXXn0N38ZP4FG7FZq8THIyksq9Q79Y9YDmnNwyu9SxliVta2aJuXsjDp67Tm5uNskxx42O/y6qq47E6G28/9z0CtVBPHokSIp7ztPTi/xbO8o9Tq02o5p/E9x8I/jz29G8/+4HvPraq0YHsN/JtrIbmtwMvW35OUVzpVUPaklQy6F3jJWqi1fdDty8epKjf3xBYUE+nnXaFH04OFUn7Xp0qX9YczKSyc5KZ9a8Bfg3f4agmuF6l4ayUuM5v+8n9i6fQJN+H5U52bqTd0O2bN3K+QsXyM/L5di6L1Gp1eTnpFOjTlsCIgdR2c2P9KSLaHIzSh3XCUUfTtejd7EltTJdu3QnICAAtZmatIRoo9O6VHbz48aVYyWraJQm4fxectJTSLq0v9Q2AUi8dLDkrtS409s4++e31G0/DvdaDfV6U5RGfUlPiObTL6cSe/Uqz457ntmzZ9B88HS9EFnMvooHDXu8zZ5lrxMSEsrQocOxsrKiX9/+zJ03l00LRqA2syK4zYgyX0cxldoMK1sntHlZBvsURcHK0hJPFyesrdIwt1fQljG27XZm5lboCgsMArU2L4vEC/vQFmi5mZaDlZ0TVg5uHPn9UzxqtySw6RN6l3XvpCvUolL/vzfa2r4KzZ/4lOvRu7l0+FeOrfuqaGlQXSEtWrXlra+n0rZtBxRFYeWqlexf+T4NuozXW1qxQJNL9N5lpF4/R6M+H7L65wmMG/ss27dv5fOvviK43bMGl8/9mwwgJe4ExzdMJz87nVoNe2FhZV/q2tW3K9DkosnLIT09jfT0NFau+oXqQa3KvJEF/hrD6VyTZ4YPo0CbS/fuvXnv3YkkJ99g9Zo1xJ87QmriJbR5WZhb2lArohc1QtrjVC2QxIv7qdmg9LkdAbLTE0lNimPR4gVYW1nj5N3QIBTbVHKhUa93yU5PJD0hGlQqQtqN5sL+n7Fzql5yE1HRMo8nmTZzLocOHWLO7HlM+/orCixcqN/5Jb1yVSoVzjXq0qTvh/z5w8tUrVKV95bNIijIF3d3D6Z89hk7Fv2Ak7sf5hbW5V56LmZmYYW5pR3a/OxSg6Q2L4u8rBQ8glpibV8FG6canNw6h+aDPi8Jure7dHAFVRztad26bYXqIB49EiTFPde9e0/eensCObeSjM4feKfLR1ZjplYxfOQwkm/exOpGNtZ2VfTGLN4pPyddb3wkQNTGGbjVakxw21GlPs7Zqy6Ner/L/hXv4VS9NnaO7niFduLS4V9x8a5n9HLSyU0zsLJxoFG/T7CydTTYb1/Fk7DHX+HMzsUcXj2ZZk98WuplI5VKzcEDBzgff4uWQ6aW3KyRlRpP9J4f2f/LOzTt/zEu3vWJiVpf5t3tKfGnKNDmYeXRhX79e1O1alUsbKtw5cgao0HSu95jRG2Yjk/9zgZtVyz12lnyc27RoNsEjq79jJoNupfU8XbpiRdIjjlGaPux3LpxmTM7FtGk34dUdjUc0qBSqXCqHkTDPh+z7Oc3uX49nmp+jY2GyGIOLj44VfNnQP8B5Ofn8e23C/l5xQpu3UontF4EWm0+GiPB0BhFUdDmZWJuqT+mLyXuFCe3zkWbl4m9S3PUWktupl5FlXmpQuVmpV7D2r6K3rnW5Gaw7+d3sHOqTosnv9TrAc1OT+TiwZXsWf4GTftPKnVqm6TLRwx62s0srKgR0o4aIe2IPbGJjIsbcXOvzuXLl/lw0iROnDzB4Cef5qkhQ9j77HPs+PY5nL1CsXOsjib3FokXD+BUPYjIAZOxtnPCs05bPv74Q3bv3UvDvh8bHQ6hUqlw9qpH5IDJ7Fn2Bg6uNanqGUx+ThrpSRcNptG63bVzf4LanL4D+pOXk4mLazUq16pYMKnk7IWNbwTVA5tz6PBKWrdtTk52Dl5hPegw+jksrO2L1puOjeL0tvlkpyfg37gfZ3d9R0ZyTJnzyV45thb3gEiOXUwl+cohqgeXPszAztFd70utuaUtugLNbe2jxsW7Hk7VJrHvt4lMmvQh3y9dQr2u75TaY2tfxQP3Wo3o3qY+5uZmTPn0U77/YTmZmZkEBtbGu4YHGzdfrNA0UlA0S0OBJtfgvX27+DM7qFojpOSmuJphXcm5lcSf372IX6O+VA9qgbmFNemJF4g/uY6CzHh+X/1HhVawEo8meWeIe87BoTK9e/fj8sGfKGshJUVXSNSmmVw6tAq3wLZUbzSMep1fw6maPwdWfcjpHQtLfXz8me2433b5OzP1Gilxp6jd4qly6+fo5odHYEtiT2wAwLtuRwq1eRxd95Veb4s2P4fovT+QlnCe0E4vGg2RxVQqFXVaDUWbl83N2KhSj7t27k9sq/oQ2nm8XkCzr+JJg67jsa7kwoUDKwiMHMSVI78XfSAbkZF8hWN/fEmdVs9Qs0FX6nZ6icTERBr2fJe0xPNcPrLG4DFVPUNwdPfn0G8fG+2du5V0iSNrP6NOq6G4+YYT1GIIe396i2vndv11E0fRxMhXT23hwKoPCW0/FksbB64cW4tPWBejIfJ2VnaO1Go6mJ1/7sKhWnCZxwI4e4exe89uIhrWZ/6Pq7H26YBX5GhwbUp8wk3iT28ptwyAtOtFK/vYV/3/zV83r0ZxeM0n+DfuS/tRC6nTegRBLZ6icf8pZNyMJTs9sdxyY09sKLnkW+zYuqk4edQmvNsbBpfR7RzdqdfxWTyCWnF4zRSj7+30pItkpcaXeqNVXlYq0Xt/ICNPIc+hHl6Ro6kU0I1la/6kUeMw/vhjDdUDI2k3Yh6uPg0wM7ekkrM3zZ/8gsa93yvpLXf0CGH/wYP4hPcpc/YEKOr99286gMtH1qA2s8A79DHO7FxMYYG21Dqe37ecuu3H0fKZ+bR6Zg7ZBRZocyu20pY2LwtzC2tsHVyp02YMmVl5+EUOwa9Rn5KbyFQqNa4+YTQd8DFxp7eSmRJHYLMnOfjrJLLSrhstN+b4OhKidxPUfDB12o6jilcEiRf3V6hOALmZyUavEJhb2lCnwwssXDQXBXW5vwfufk3YtWcvYQ3qMef7P7Dz64JX5GhUbpHsP3YOnU5HStzJCtUp6dIh7KtUx9LGsGcRis7FpcO/UrN+l5JtKpWK4NbD8W86kPP7lrFt/nDWzxjAld1zeapPB3Zu34WXl3eFnl88mqRHUtwX7783kQ4d23F+zxICmj1ltIfu7O7vSU+8QJthc/Quy1TxqI1veA/2r3ifiwdX6M23B0W9ZjcuH6FGnbakJ14k7fo5Lh9agUftFmVOuXE773qPse+XdwlqNhi1uQVedTty9s/F7Px2HK6egajNzLkRfw5fX18qV3Uvd1oVKPpw8673GDFR641O11JYkE96wnkiB0w22h4qlZqApgPY/8u7KJosVBRwbsc8Es9sxi2oLbaV3dHkZXLt7E5uXDlCcOvheAS1BMC1Zjh2VTxJvXaWJn0mcmDVByTHHsen/uNF05OgIvXaGcwoIDs1lh2LRuFZpw2VXP0oLNCSdOkAqdfOUKf18JJwVDOsK1Z2VTi5+RvObp+LvaMzWenJWNvYUcmx6C5UTV4WCef30nrozAq1u3utxpzeOqdoHG05FJ2OLVs2EdLhOarfdvOLU7UA3P0j2Tx3KKnXzlLFo3bpZSgKl478hndop5LLhbrCAo5vmE69Ti8Y3I1uYWVLjTptObNjIRHdJ5R6w0NawnkSzu+l5VPTSrZlJMeQnnSh6HFl9CYFNB1A/NkdpMSf0rvZKjcjmaNrPyeg6UCjl4B1hQXsX/EeHoEtqdN6uN5zuPlGcPPqCX5b/QmuNRtgaeNQ5k09edlpZGXewrNO61KPuZ1n7dac2/U92ekJ1AzryrUz29j381vUbjmUKh51UKlURRPpXzrI6Z2LqBHcDo+gFkDRakQBTZ/g5JbZBEQOLPMmD21+NjeuHCmZAzU1/jRqcwtqBBvvzbS2c8K7bifO7f4eG2srdNps9v74Ch6BzXD2bYqFlS1ZqdeIPbEJTe4tmvT9sGT+RP+mA9i+cGyFFkjIz0knOeYYIW1GGt1v7+SBg4s32WlJ5bYlKjUXLpynfueXca0ZXrLZqVoAHrVbc3DVxL+mkapb5vtIURQuHVqFs1c9o8dl3rzK4d+n4FG7lcHfI5VKhU+9x0i9so83XhxNv34DMTeXeCAqRt4p4r5wcqrCH2vXM+CJ/uxb+iLV6nTAza8J5pa25GenEX96KzHH1tLq6ZlGx/ZY2TrS4PFX2fvTm/g26I6ZhRWFBVquR/9J9K7FNG7UmGtRP1FYWEiAfwBm/n6oq5U9EfTtHFx80BVqOb9vOakx+7GxNGflL6vw8wvg4MH9FBYWUrduKEuWLGLjofgKr/Dg5tuQiwdXGt0XG7WpaMLlMi7ZV3b1RaVSERHkzI9z91GtWnVWr17Fu++/h1ZnhpWdI26+DQlpO9Kgh9S1Zji3ki7gEdSClkO+5trZHZzb9R2ZKVeBop6T58Y9y7hxv5CamsKS777ll5UrKFDb4xHUkrDHXzUI4tUDIrl1/RQdGvnSvXtPXF3dcHNzZ/zrr/Db4jFU8QzG2r6q3ni8sqjNzLGr7MrNmEMGl2/vdOPyARyrBeiFyGJm5haEtBnBodWTiRww2eik4oqiEL3nB1LjT+Md2qnkcmHChf1YWNuXekND7RZPsX/lRA6tnkxwm5F6lzd1hQUkXNjLqa2zMVOriDuxHsfqwaDouLD/JzyCWhm90eV2KrUZXnU7Ehu1gaqeIeRl3ST+1BYuH/0d+yoepbbL1VNbUBTFIEQWc/YKpWZEb2KOrin3rtwbF/fh5OZrdJooY8wtbajs6suZ7fO5lRhNixatqRdalyXfzURbCNZ2lclITUSj0RDcZoRB8HPxrodKpeZ69J6SgGnM5SNrqOJRp2RITHrSRVy8w8q8g9m1Zjjxpzby+nvv06/fADIyMpi/YC5z532JjYMr1vZVqRXRo+QmpWI2lVywrezCxYMrCCljOAzApUO/4lozvMzAWdWnCWmJy8hMiTP6fiyWfOUw9lU89UJkMZVKRdjjr7F90SguHVqJXyPDpSThryVf9y3FkmxSLu3m0I1zOPu1xMquaCxwwvk9pCddwL9xf6NLnhazcwngwoXzEiLFXZF3i7hv3Nzc2bZlBzt2bGPu/LnsX/Yq+fm52Nk7EOgfQK5PaJk31lRy9sK2shsHV76NfWVXbsafxdfXl6XfL6NFC/1lznr16UVuBQeoF1OpVNSqks/Hr86gVas2JWOCHn/8/wP2c3PzMKvAmszFigJvvsH2pMuHuHxwOeZm6jLHPymKgrm5Ga+8PB5f36LAOXDgk/y4fDkap4ZlTvOh6AopHr1iYWVbsra3oiu6k3v7/GcYPPhpHB2dcHR04oOJkzhzNppbVkEGl2j1qXFyciIi4v/Ba8bX3zDh9TeZNOkDNu1IKL9hblOpqifXL+wvczxbStwpbt2MI3LAJ6WW41mnDWnXz7F76Xh8QtvjEdwB+yoeFBZouXHlMAmnN2Klymf40KGsWDmP6B0KVjb2pN1MwK9Rv1LPgZmFFU36TOTktnns+PY5PGrVw8qhOkphPskxR6nm5s6ypcvx9/fhy6+mc+LkZtRqNfbWGF133RhHdz8uHVrJuml9MDc3p1v33nz40lI+njyJQ7+8QbXgx3D3a4K5pTU5GTe4fnorV6I2EtTiqTK/1HiFdOD8vuXEn95e6hJ+uZnJpF47jatX+cMLbqdWqwn2dWbysgX4+haNj3z11Tc4eTKKzMxMLl26wLTZi432HqpUaup1ep6Dqz5ApVIVTXh/2+vQ6Qq5cvR3Yk9soNnAKbc9TvXX+7p0Ol0Bbm5uPPNM0c1X9vaVeG38BL6ZOY0WT35R5jRalpYWJJ3fiaObH55G6q0oCpcO/8q1c7toPujTMuthYW1H9eoexB79lZAOLxg9JjcjmWvndtGk74el18nGHr9G/bl8+BdyUmLwDO2CU/WgvyY9L5peK/7E75hrU9m4fjMuLq6sW/c7CxYu4OThczi6B1ItIJKIHm+Wv568So1Wa3yIghClkSAp7iu1Wk3btu1p21Z/brvPP/+EVdvLXmsWoGr1AOr7VqJduw7Urh1MSIjxXkevGp4cvRJf4XrlZaWiQsfcOfOxtS39criLizOaozEVLjc3IxkzC2tu3biMSm1G5s2rJJ3bQlbKVb5bspTnX3zO4JLm7VKvncHOzg5vbx+97a1btWT573+WGiQVRSHhwl7qtBpmsE+lNiPl6gkqV3bE01O/p6R5ZBN++G17qUFSUXSkxB6hYcMxBvs8PDx55ZXX2LBpI7rCggpNmQOgyUmlf7+BrPn9Y+o9/gaO7vo3bdyMO8mJ9V+iK9BQuYwbJwB8w3uScuUAbSO8Wb58IpkZ6UVjwOqG8fb45+nRozfW1ta8996HnD17muzsHKZ+/RU3VWUPgTCzsCKkzQjiT29l/LPDSEpKxNLSisaNXyc8vCEWFmY4OdkxberXFBQUXaYfOGgAKeWEnmK6wgLq1Alh1YpV2NnZl8yb2Lx5SzZsWMfsuXPYPHc2ik6Hja09vXr1JTfJvcyeLigah2pja0/0rkWYW9mVrEZULCv1GifWfUqPHr3ZtmNXhW/qUBQFneYWzz/3SUmIBDAzM6N+/aI7++3t7cm+9WmpvaGO7gGYmZkRd2gpsUdW4OLXHEubyuTcSiLu9FasbB2J7D8ZO8f/r3ZU1TOEiwdXUligLXUi/eTLB2jVUv+Lpa2tLUF1Qkm8eKDU35nMlDjys9P5+adVDBsxlIQzG3Gv3fGvKwYKKfFniDn+ByqVmsgBH5d6c1SxvMybNGzYiL379hK9ewm1Gg/QC3IZyTGcWP8FarW6zOEYAFW9Qki7uJUnerRm4cKv0RTosLZ1IDc7HTsbG0aOGMnTTz+Dg0PR2MiePfsQFFSHx7s+Rtjjr1T8dzEzAQ+PeuUfKMRtJEiKh4K9fSV0+eUPvi/UZNK06WP06zewzOMGPfEkfzw1mFqN+1Vo6oz401vo3LlbmSESoHv3XkyfMZ3AFs+U/+0euH52Kx7uLlza/jUFBQVU9/DkjRdH06NHb2xtbRk9cjRzv12GU7VAg3FwhQVaLh9YxqgRo0qCRbHBTz7N119Ppfr1c0bvyI47vQVNzi2qehpOil5YoOHKweWMGTXa4E7MQYOe4suvvqBGKWsvx53aTGUHO5o1M3450s/PHw8PTxIvHaR6OSvxQNGHd0ZyLB9/vJmwsAZM/OA9Kjl7U6laMIpOR8a1KPKykpn21VTGjh2JJjezzKlyNLm3qOTgwMeTpvDxpCnk5+djYWFh8DrNzc2pW7foAzNoQyCbD8SUW9es1HiqOLsxaNCQco8FaBgezk9/7C51PN/t0uJP0KJBWEkQKGZhYUG3bj3o1q0HOp0OrVaLlVXRpfIOndqRn5NhrLgShQUatJo8Zs+ax1tvv0nsoZ9w8o5AbWZB9s0L3Iw7w8svjef5518kLDy0zC81evW9fg61TkPjxqXP71q/fgMcKtmRdPkw7kaGDVw/9yeBQXXYtGEL27Zt5ve1a7l1K54s60ySLCxp0vdDg2EuRRPzm3P58Cr8jcxgkJkSx7Wz2xk5bZvBvmfHjmPipE9w8QkzmCdW0RVyaf9SnnjiSRo3bsqxIydZt+53Fi5aRPTJX1Gr1djZ2WNjW4nG/SaXOzm4oiskKXoHg99YxHvvTmTUmJHsXDiy6HK6hS25qTHcSo7lueee57PPPvnrTuvSVyDS5GTgULkyr77yOi++8Arnzp0lKysLBwcHAgODDP4+AAQGBlG9ukeFfxfzc9JJvHSIXr0WlnusELdTKWXdRiv+U5KTK3aX5INw5cplWrVuRqth80u9QUaTm8HOxWM4dPAY7u5lr8msKAqRzZtg59MWr7odyjw2P+cW+5e9yo8//EjjxmWvjALQtdvjZFn7lznWCIouGe754SV2/bnPoEexmFarZchTT3IqOgbviL4l8zQmxxwj5vAK6vh5svSH5VhYGPa+/P77bzz/wnN4h/eiRnDRMoI5t5KIO7GexPM78ffzJ/5GJj4R/XDxqQ+Kwo2YY8QeXkHdIB++/+5Ho2OhVq78hVdfewXfRgPwqN0aCytbcjNTuHpiHYlnt/Lbr7+XhDBjli79jk++mklE74/KvIyoKAqnNk+nXeMApnzyeVGb5eayevUqTpw8gVqtJrxBOF26dMfS0pIhTz1JXE4VfCN6lVrm2e1z6djUnw8mTir1mDudO3eWTp070HrY/DLHM57e+g1dW4Xy7jvvG+wzN1fj5GRHWlp2SY9kUlISEQ1DafH0rDLnEi3Q5LJz0Si2bN6Ov3/FLoUDzJ49k4XL1xLa+fVSj4k/swMlaQ+bN26lsLCQzZs3smfvbrRaLUGBQfTp049KlYruPP76669YvHwNYd3fKXM8paLoOL72E57s3ZHxr75RZh3Xr/+Dsc+OIaTDi7j4hJWsQZ14YT9nts/mxx+WG3wpURSFF196ns3bduLdsD/utRqjUpuReu0MsUdWUslCw82byTh41MOrfjcqVa2BNj+Ha2d3EHP4F9556x2GDTO8CUZRFJ59bizbd+3DJ6IfbrUaFZUbf5rYIytxdTTn15VrsLMzvhjBrVvp1A2tTaO+H5c5pRDAtbM7STu3lgP7D5f08J4/H82WLZvIycnG29uHLl26Y2trS/eeXcm2DS5zjPCpTVMZ2K0lr7z8WpnPe6elS7/jky9nEN57UplLoQKc+3MxAW4qvl383V09x/3g4lL2UpfiwZIg+Qh5mIMkwMAn+hOTCrVbjza4vKYoOk5vmUmIjyOLFn5bofKOHTtCr949qN12bKkr4+TnpBO1djKPd2jFZ59+WaFyT58+RddujxHYerTRGz8AcjNTOLbmQ4Y80Z+333q3zPIKCgr49tuFzJk3h2txsQBU9/Ri9MjRPPPMCKMhstiRI4eYOm0qW7duQK02Q61W07t3f1568WU8PWuwePEC5s6fy/X4ohtsPGv4MHrUaIYOHV7mgPq9e3fz+Zefc2D/HiytbCgs0NC1a0/GvzqeWrUMeypvp9Fo6NOvFwnpCsEdXjT6AaYoChf3LyMr/iBbNm2natWqZZYJsH//XgYNfoKGfSZj52T4RSLtejRH10xi547d+PiUPcn6nfr2701cKtRpN85oiEq6fJgzW6aze9d+PDwM59E0FiQB3pjwGuu27qZ+17eNfkEqLNBwYv3nNKjtxcIFi++qzunpaTQID6V2u+dx840w2J+fnc6hFW/yxadT6N699PBdLDs7my5dHyPPwp2g1qOM9uQrukLO/bkQ85yrrF+3EXv78j/g165dw5tvvUEBZtg7ViPjZhx2tlZ8+flXtGljfNymoij89NOPfDN7FhfOny26/FvFmWHDhjNm9LNkZNzi6+lTWb78RzT5+RQWFtC0WUteeuElWrUqfXyvoigsX76Ub2bN4uLFc6jVaqo6uzJi2HBGjRqHjU3Z65IvWjSfyZ9+SoOe72Pv5GH0mJtXTxC1/nOjIdmYzZs3MPa552jYd7LRm9RuXo3i5IYvObD/KK6uruWWdzutVkv/gX2JvZFL3Y4vl7rCUczR1SSd2cDmTduMvr8fNAmSDzcJko+Qhz1Ipqam0LX74+ThgFdYz5JVUlLjTxN79FcqWxfw++q1Bpf/yrJ//z4GDxmIg6sf1YI74ewVilptRvatJK6f3kL8ma0MffopPpg4CUWp2J3YAAcPHuDJwQOo7B5EteC/1shWqcnNuEH8qU3En97CM0Of4b13P6jwHd6KopCengaAo6NThR8HRT15WVlZVK5cGUtL/Uvkf6fc9PQ0cnKy8PPzRqNBLySVJSsrk6eeHsLps9FUC+6IR+3WWNo4UKjNI+HCPhLPbMTOClb8vMpgnGZZZs2awRdffYlPRN+S3tL8nHTiTm3h6rE1TP96RoVCk7HX2bNXd9Jz1dQI64GzVygqlZrs9ETiT27k+tmtLPn2B1q2bG308aUFyYKCAsaMHcXufQfwCO2KR+1WmFtYF623fX4P8VG/Exzoy3dLlpYbYozZtWsnTz39JB4hnahRtyM2lVwo1OZzPXo3MUdW8ET/fnz4QcV7Z1NTUxj4RH/iE27iXqcD1YNaYmFlR0F+NtfP7yHh9EbcXRz5efkKnJ0rvvaySqVw8uQRLl2Kwc3Ng8aNm1T4fXjrVjoFBYU4OTkZDFEoKCggLS0NW1vbUnsSjVEUhYyMWxQWFuLoaFhuWWbPmcmUKZPxqN0Gj5COf83/qpB2PZrrpzeSHHOUeXMX0KFD6dMt3WnKp5NZsGgR3uF98ajdEnMLa/KyUok7uYm4E3+wcMFi2rXrWOHybpednc2Ikc9w+OgxqtfpiEedNljZOVKozSfx4gESz2zETMll5S+r9Ma7PkwkSD7cJEg+Qh72IAmQmZnBnDmzWPztIjIzM1AUBUenKowcPoIRI8bc1YdFsYyMW/zyy0/MnT+PmMvnAbCxtaN3736MGT2G5s0bGwSAikhLS2X58h+Zt2Ae1+JiUJuZY2FuQa/e/Rg5YmSZl3//TUoLSeXR6XT8+ecO5s6by/Ztm1AUBUXRUT+sEWPHjCm5ZH23du7cztfTv2bfvj+xtLRBq82nY8fHefGFFwkLM5xCpaKys7NZ8t0i5s2fR8rNZMzMLdAVaunduz/PPfs8fn6l98SW1UaKorBu3Vrmzp/L4YP7sLS2RZOXQ3DdMMaMGkWPHr3/1nQr0dHnmD7ja1avXoWZmTma/FzqhTXkuXHP0rVr97sur7CwkC1bNjFn3hz27t4BFK3J3iSyJaNHjqZjx8fuur6mvoceVhcvXmDhwvksW76UvNwcFEVHVWc3hj0znCFDhuLmVv4KXnfaunUjM7+Zyf79e7C0tKGwQMvjXbrz4gsvERxsONb5biiKwv79e4uWFN34BwV/TR4fWj+CsaPH0LVrj5Kxtw8jCZIPNwmSj5B/Q5AsVlhYyM2byQC4uLj+Y8tzabVatFotNjY2qFSqf+QDTlEUcnJy0Go1VKrkYHTg+7/ZP9FGhYWF5ORkY2Nj+4/NUZeRcYvMzEwcHZ1M+oJRGp1OR1JSIlqtFhcX1wr1FFa0jW7dSic9PR0HBwecnMqe9Ppu5ebmkpqagp2dHY6OpY/JvBuFhYVkZ2dha2v3t87bfy1IFtPpdGRmZmBmZoadnf1d9fbfqbiNYmKukZ6egZNTlXJv/jNF8d8ra2vrf83fKgmSDzcJko+Qf1OQvF/+qx9w/yRpo/JJG5VN2qd80kalkyD5cJO1toUQQgghhEkkSAohhBBCCJNIkBRCCCGEECaRICmEEEIIIUwiQVIIIYQQQphEgqQQQgghhDCJBEkhhBBCCGESCZJCCCGEEMIkEiSFEEIIIYRJJEgKIYQQQgiTSJAUQgghhBAmkSAphBBCCCFMIkFSCCGEEEKYRIKkEEIIIYQwiQRJIYQQQghhEgmSQgghhBDCJBIkhRBCCCGESSRICiGEEEIIk0iQFEIIIYQQJpEgKYQQQgghTCJBUgghhBBCmESCpBBCCCGEMIkESSGEEEIIYRIJkkIIIYQQwiQSJIUQQgghhEkkSAohhBBCCJNIkBRCCCGEECaRICmEEEIIIUwiQVIIIYQQQphEpSiK8qArIYQQQggh/n2kR1IIIYQQQphEgqQQQgghhDCJBEkhhBBCCGESCZJCCCGEEMIkEiSFEEIIIYRJJEgKIYQQQgiTSJAUQgghhBAmkSAphBBCCCFMIkFSCCGEEEKYRIKkeKQsXryY9u3bU7duXXr06MGWLVvu6vEJCQmEh4czY8aMe1TDB8+UNkpJSeGdd96hTZs2hIWF0bt3b9atW3cfant//Pnnn/Tu3Zt69erRpk0b5s6dS3mLgq1evZouXboQGhpKp06d+OWXX+5TbR+Mu20jjUbD3Llzeeyxx6hfvz6dOnVi5syZaDSa+1jr+8eU91CxgoIC+vTpw5AhQ+5xLYW4exIkxSNjwYIFfP755/Tq1YuZM2fi7e3NCy+8wKFDhyr0eEVReOutt8jKyrrHNX1wTGkjjUbD8OHD2bt3Ly+88ALffPMNoaGhvPzyy/z222/3r/L3yNGjRxk3bhy1atVixowZdO/enalTpzJnzpxSH7N+/XreeOMNmjVrxjfffEOTJk145513WLNmzX2s+f1jShtNnjyZ2bNn07t3b2bPnk2/fv1YsGABEydOvH8Vv09MaZ/bzZs3j1OnTt3jWgphIkWIR0Bubq4SERGhfPrppyXbdDqd0r9/f+Xpp5+uUBk//PCD0rJlSyUgIECZPn36Parpg2NqG23cuFEJCAhQoqKi9LaPHDlS6dKly72q7n0zbNgwpU+fPnrbPvvsM6V+/fpKbm6u0cd07NhReeGFF/S2vfjii0r79u3vWT0fpLtto7S0NCUwMFCZP3++3vb58+crAQEBSkpKyj2t7/1mynuo2NmzZ5XQ0FClWbNmyuDBg+9lNYUwifRIikdCVFQUGRkZdOzYsWSbSqWiQ4cOHDx4kLy8vDIfHxcXxxdffMFHH310r6v6wJjaRvb29gwYMIC6devqbffx8eHq1av3tM73mkaj4cCBA3ptAtCpUydycnI4fPiwwWPi4+OJiYkx+pirV69y5cqVe1rn+82UNsrMzGTgwIG0bdtWb7uPjw9Q9Pv2X2FK+xTTarW88cYbDBkyhJo1a97rqgphEgmS4pFw6dIl4P8fVMW8vb0pLCwsM/DodDomTJhA586dadmy5b2s5gNlahtFRkby4YcfolKpSrZptVp27NiBv7//Pavv/RAXF4dWqzXaJgAxMTEGjymrHUt7zL+ZKW1Uo0YNJk6ciK+vr972zZs3Y2FhYVDWv5kp7VNs5syZaLVaXnjhhXtYQyH+HvMHXQEh/q6cnBw2b95c6n5nZ2cyMzOBot6z29nZ2QGUOe5xyZIlxMXFVXg808PoXrfRnT799FNiY2P55ptvTKjtwyMjIwO4uzb5J9vx38CUNjJm48aNrF69mqeeeorKlSv/s5V8gExtnxMnTrBo0SKWLl2KpaXlva2kEH+DBEnxr5eamsrrr79e6v5GjRoRGRlpdJ/y112TarXxzvnLly8zbdo0pk+fTqVKlf5+ZR+Qe9lGdx772Wef8f333zNq1Cjat29vWoUfEjqdDkCvt/V2xtqktMfcTTv+m5jSRnfasGED48ePp2HDhowfP/4frd+DZkr75OfnM2HCBJ5++mlCQ0Pvaf2E+LskSIp/PU9PT6Kjo8s8ZunSpQBkZ2fr9Xbk5OQAGA2JhYWFTJgwgccee4xmzZpRUFBQsk+n01FQUIC5+b/jV+hetdHtij/81q1bx4gRI3j11Vf/Zq0fPAcHB8Cw1yg7Oxsw7GUq6zHF7WjsMf9mprTR7RYvXsxnn31Go0aNmDVr1n+u982U9pk2bRo6nY5x48aV/N0p/iJSUFCAmZlZqcFUiPvtv/XVWIhSFA9Uj42N1dseGxuLpaUlNWrUMHhMQkICUVFR/PbbbwQHB5f8BzBr1iyCg4OJj4+/95W/T0xpo2KZmZk8/fTTrF+/ngkTJvDaa6/d07reL15eXpiZmRltEwA/Pz+Dx5TVjqU95t/MlDaComD00UcfMWXKFDp16sT8+fNLLvf+l5jSPhs3buTKlSuEhYWV/N05dOgQhw4dIjg4mF9//fW+1F2Iivh3dKcI8TeFhYVha2vLxo0bSy4VKYrC5s2badSokdFeEFdXV1asWGGwvW/fvvTv35/+/fvj6up6z+t+v5jSRlDUQzJmzBhOnTrF1KlT6dy58/2s9j1lZWVFREQEmzdvZvjw4SW9QBs3bsTBwcHoZUdvb29q1KjBxo0b9dpi48aN+Pj44OHhcd/qfz+Y0kYAX331FT/88ANDhw5lwoQJ/9keNlPaZ/bs2QYTs7///vsAfPDBB3h6et77igtRQRIkxSPBxsaGYcOG8c0332BhYUFYWBgrV67k9OnTLFmypOS4xMREEhMTqVOnDpaWlgZT2hRzdXUtdd+/lalttHTpUg4fPsyAAQOoVq0ax48f1yu3fv369/eF/MPGjh3LM888w4svvkifPn04duwYCxcuZPz48VhbW5OVlcXFixfx8vKiSpUqAIwbN44333wTR0dH2rZty7Zt21i/fj1Tp059wK/m3rjbNjp79izz588nJCSEzp07ExUVpVeen5/ff2oIwN22T2BgoEEZxb21/7W/O+I/4MFNYSnE/aXT6ZRvvvlGadWqlVK3bl2lV69eys6dO/WOmT59uhIQEKDExcWVWs5/dUJyRTGtjQYNGqQEBASU+t9/waZNm5SuXbsqwcHBStu2bZWFCxeW7Nu/f78SEBCgrFy5Uu8xy5YtUzp06KCEhIQonTt3Vn799df7XOv7627aaNq0aWW+Z/bv3/+gXsY9Y8p76HaDBw+WCcnFQ0mlKBVc7FMIIYQQQojbyM02QgghhBDCJBIkhRBCCCGESSRICiGEEEIIk0iQFEIIIYQQJpEgKYQQQgghTCJBUgghhBBCmESCpBBCCCGEMIkESSGEEEIIYRIJkkIIIYQQwiQSJIUQQgghhEkkSAohhBBCCJNIkBRCiLs0b948AgMDmTlzptH9/fv3p27duqSnp9/figkhxH0mQVIIIe5Sz549MTMzY82aNQb7Ll++TFRUFG3btsXR0fH+V04IIe4jCZJCCHGXXF1dadmyJbGxsRw7dkxv36+//gpA7969H0TVhBDivpIgKYQQJujTpw8Av/32W8k2nU7HmjVrcHV1pXnz5g+oZkIIcf9IkBRCCBO0bt2aqlWrsmHDBjQaDQB79+4lMTGx5NK3EEL810mQFEIIE1hYWNC9e3fS09PZsWMH8P/L2r169XqANRNCiPtHgqQQQpio+PL22rVrycvLY+vWrYSFheHr6/uAayaEEPeHBEkhhDCRv78/oaGh7Nq1i23btpGbmys32QghHikSJIUQ4m/o06cPOTk5fPHFF1hbW/P4448/6CoJIcR9I0FSCCH+hq5du2Jtbc21a9fo2LEj9vb2D7pKQghx30iQFEKIv8He3p5WrVoBMnekEOLRI0FSCCH+pujoaDw9PWnSpMmDrooQQtxXEiSFEOJv+PXXX4mJiWHgwIGoVKoHXR0hhLivVIqiKA+6EkII8W8zfPhwrl27RkxMDO7u7qxdu1bGRwohHjnSIymEECZwdnYmISGBkJAQ5s6dKyFSCPFIkh5JIYQQQghhEumRFEIIIYQQJpEgKYQQQgghTCJBUgghhBBCmESCpBBCCCGEMIkESSGEEEIIYRIJkkIIIYQQwiQSJIUQQgghhEkkSAohhBBCCJNIkBRCCCGEECaRICmEEEIIIUwiQVIIIYQQQphEgqQQQgghhDCJBEkhhBBCCGESCZJCCCGEEMIkEiSFEEIIIYRJJEgKIYQQQgiTSJAUQgghhBAmkSAphBBCCCFMIkFSCCGEEEKYRIKkEEIIIYQwiQRJIYQQQghhEgmSQgghhBDCJBIkhRBCCCGESSRICiGEEEIIk0iQFEIIIYQQJpEgKYQQQgghTCJBUgghhBBCmESCpBBCCCGEMIkESSGEEEIIYRIJkkIIIYQQwiQSJIUQQgghhEkkSAohhBBCCJNIkBRCCCGEECaRICmEEEIIIUwiQVIIIYQQQphEgqQQQgghhDCJBEkhhBBCCGESCZJCCCGEEMIkEiSFEEIIIYRJJEgKIYQQQgiTSJAUQgghhBAmkSAphBBCCCFMYv4gnrSDul/RP1Tqv/6n+v/OMraht0311y613s9Fxxnb9tfxZZRVbhl3Hme0jNuyudpIuRUoQ9GrRxl1rMjxxo67/euDsTJU+vsAFPWdxxuWwW3b7nwuY+UbK0N/W/FrKn1fRctQjL0mlf4xcPvrxMhxFa1HGeUb3Was/e44rtwyKrCtvOO5y+ONbCvrtVeorYw8v9F9t/kn2gqVYlK9yyzjdkbLUEp9rv//XzHYV1YZqoqWj2G5KiPHG99mWLfi41R3lmWs/NuK+//jbi+r6P9qo+WXftzt+9To16fU4+7YpjZahuHxd/5fbxulH2+0DKPH6ypYbtFxZkbqbawMM70ydPr79MrQ31f02DuPv618jGwrrpuR5zQzUsc7y799W1nPVVzX21+DGcbqYaytDMsvqcdt9Ta7s956z2nsdRrW4/+v2fBc/H8fhttKnuf2fSq9fUX7i7epjByn0jumaJva8HiVWm8fgNr9POWRHkkhhBBCCGESCZJCCCGEEMIkEiSFEEIIIYRJJEgKIYQQQgiTSJAUQgghhBAmkSAphBBCCCFMIkFSCCGEEEKYRIKkEEIIIYQwiQRJIYQQQghhEgmSQgghhBDCJBIkhRBCCCGESSRICiGEEEIIk0iQFEIIIYQQJpEgKYQQQgghTCJBUgghhBBCmESCpBBCCCGEMIkESSGEEEIIYRIJkkIIIYQQwiQSJIUQQgghhEkkSAohhBBCCJNIkBRCCCGEECaRICmEEEIIIUwiQVIIIYQQQphEgqQQQgghhDCJBEkhhBBCCGESCZJCCCGEEMIkEiSFEEIIIYRJJEgKIYQQQgiTSJAUQgghhBAmkSAphBBCCCFMIkFSCCGEEEKYRIKkEEIIIYQwiQRJIYQQQghhEgmSQgghhBDCJBIkhRBCCCGESSRICiGEEEIIk0iQFEIIIYQQJpEgKYQQQgghTKJSFEV50JUQQgghhBD/PtIjKYQQQgghTCJBUgghhBBCmESCpBBCCCGEMIkESSGEEEIIYRIJkkIIIYQQwiQSJIUQQgghhEkkSAohhBBCCJNIkBRCCCGEECaRICmEEEIIIUzyt4Pkpk2bGDJkSJnHzJs3j8jISBo2bMgnn3yCTqcrd9+qVauoXbs2YWFhBv/l5OQYfZ6oqCh69uxJ/fr1GTRoEFevXjU4ZvHixUyYMOFvvOJ/vx9++IGQkBC9Nk1JSTF67MNw7rZs2UKXLl1o0KABvXv35siRI/9gazz8KvK+1ul0fPzxxzRu3JimTZsyb968Cu2bMWMGwcHBBuepbdu2FapbTEwMgwYNIiwsjB49enDy5MkK7XuUfPrpp9StW7ekbRs3bmxwzP08fzt37qRTp07Ur1+fMWPGkJqaWrLv559/pn379oSHhzN48GAuXrz4D7XCv1tZnxsPy7krNmnSJGbMmPE3Xu1/R1nnLSsry+BzavHixYCct7ummKiwsFBZsmSJUrduXWXw4MGlHrd582alffv2yrVr15Tk5GSlV69eys8//1zuvpUrV5ZZ7p3y8vKUZs2aKWvWrFHy8/OVGTNmKE888UTJ/vz8fGXq1KlKUFCQ8sYbb5j4qv8b3n77bWXx4sXlHvcwnLurV68qDRo0UA4cOKAUFhYqq1evVho1aqRkZmbe/Qv/FyrvfV3s22+/Vfr166ekpaUpMTExSps2bZS9e/eWu2/69OkV/n0ICAgw2NazZ09l7ty5ikajUVasWKG0adNGKSgoKHffo2To0KHKpk2byjzmfpw/RVGUGzduKA0aNFD279+v5OXlKW+//bYyfvx4RVEU5ciRI0qTJk2U6OhopaCgQJkzZ47SsWNHE1/1f0NFPjcehnOnKIqSkZGhvPvuu0pAQIAyffr0v/Gq//0qct4OHz6sdOvWzeg+OW93x+QeyalTp7Ju3TqGDh1a5nFr165l4MCBVK9eHWdnZ0aPHs0vv/xS7r67tX//fhwdHenWrRuWlpaMHTuWCxcucOnSJQAmTJjA2bNn6devn0nl/5ecO3eOwMDAco97GM5dQkIC/fv3p1GjRqjVarp37w4U9XY9Csp7Xxdbu3Ytw4YNw9HREW9vbwYPHszPP/9c7r6/49KlS1y9epXhw4djYWFBnz59sLOzY8+ePWXue9ScO3eOoKCgMo+5X+dv8+bNRERE0LhxY6ysrHj11VdZv349WVlZJCUlMWzYMAICAjAzM+PJJ58kJiaGtLQ0k57rv6AinxsPw7kDGDlyJBqNho4dO5pU/n9JRc5bWb+Xct7ujslBcsiQISxfvhwfH58yj7t8+TK+vr4lP9esWbPkcklZ++7WlStX9MoyMzOjRo0aekFy7ty5uLi4mFT+f4VOp+PChQt8++23REZG0r17d3bs2GH02Ifh3DVq1Ig33nijZN/x48fJzc0t9333X1He+7rYvTpX8+bNIyIigoiICICSf//+++9cvnwZb29vzMzM9Mq+dOlSmfseJTdu3CA9PZ3JkyfTpEkT+vfvz/Hjxw2Ou1+/a3eW5eTkhJ2dHbGxsXTu3JmRI0eW7Nu5cycuLi44OTmZ9Fz/BRX53HgYzh3A9OnTmTJlCnZ2diaV/19SkfMWHR1NTEwMnTp1okWLFkyZMgWNRgPIebtb5qY+0NXVtULH5ebmYm1tXfKzjY0NeXl55e4DOHLkSMkHWLEWLVowdepUg+fJycnRK6u4vNzc3Luq739dWloaoaGhDBo0iKZNm7Jnzx5efvllVq5cqfdmh4fn3BWLjY3l+eef58UXX8Te3v4uX/m/U0XbJjc3Fxsbm5Kfra2t9c5Vafug6Nv3li1b9Mrr378/r7/+OqNGjWLUqFEABAYGcvjw4ZJjVq9erVducdm5ubnk5OSUuu9RkpaWRqNGjRg1ahTBwcGsXr2a0aNHs2HDBr2Adq/O351yc3OpVKmS3jZj76eoqCjee+89Jk2aZMKr/u+oyOfGw3Lu5DPu/yrSFra2tjRq1IjRo0eTmZnJ888/z9y5c3n++eflvN2lCgfJ9957j99//x2A8PBwFixYUKHHWVtbk5+fX/Jzbm4utra25e4rfp7vv//eaLkjRowouemiW7du1KxZU+9EF5f3b075/5Q7z93tbdqmTRsaN27M7t27DYLkw3TuTpw4wejRoxk0aBDDhw+/q9f/b3ZnQAfj7+s7/9Dl5eXpnavS9gF07dqVKVOm/CN1Ky67rH2PksDAQJYsWVLyc79+/fjuu+84evQo7dq1K9l+r85fly5duH79OgCjR4+u0Ptp+/btjB8/ngkTJtC5c2dTXvYj5WE6d6Libr8Jp1KlSowaNYo5c+bw/PPPy3m7SxUOkh9++CEffvjhXT+Br6+v3ni2K1euULNmzXL3lefOILtz505+/fXXkp8LCwu5evVqhcv7L7v93F28eJE5c+YwZsyYkv0ajQYrKyuDxz0s527Xrl289NJLTJgw4ZEb4+rr61uh93Xx+fD39weMnytj+/5u3eLi4tDpdKjV6pKy+/Tpg4eHR6n7HiVHjhwhOjqaQYMGlWwz9vt2r87fH3/8offz0qVL2b17d8nPqampZGZm4uXlBcDKlSv55JNP+PLLL2nduvXdvdhH1MNy7sTdmT59Or169aJGjRqA/u+lnLe7c8/nkezSpQs//PADcXFxpKSkMHfuXLp161buvrvVuHFjUlJS+O2339BoNMyePRsvLy9q1ar1T76cfz17e3vmzJnDxo0b0el0bNq0iRMnTtC+fXuDYx+GcxcTE8MLL7zA5MmTH7kQCRV/X3fp0oV58+aRkpLC1atX+eGHH/TOVWn77kZ0dLTez35+fri7uzN37lw0Gg2rVq0iLS2NJk2alLnvUWJpacnnn3/O4cOHKSgo4LvvvkOj0dCwYUO94+7H+QNo3749hw4dYs+ePeTn5zN16lTatm2LnZ0dhw8f5qOPPmL+/PkSIu/Cw3DuxN07c+YMX331Fbm5uVy7do158+aV3Mwp5+3umDxGsiwjRowgIiKCMWPG0LFjR2JjYxk8eDB5eXn07NmTwYMHA5S5D+Dw4cOEhYUZlD9//nyD8XfW1tbMnTuX999/nw8++IDatWszbdq0e/Hy/tXc3d35+uuv+eKLL3jjjTfw8vJi1qxZVK1aFXj4zt1PP/1Ebm4uEyZM0LsUYayc/6Ky2qZLly6MHj2a7t27M2TIEG7cuEH37t1RFIWhQ4eWXDotax/A77//zsaNGw2e+48//qB69epl1m/mzJm8/fbbzJ8/v+S9VPytvqx9j4q6devy/vvv8+abb5KcnExQUBBz5szBysrqgZw/Nzc3pk6dyscff0xiYiIREREll+i+++478vPzGTZsWLnlPOoetnMnKub28zZp0iQ++OADWrVqhZmZGQMHDuSJJ54A5LzdLZWiKMqDroQQQgghhPj3kSUShRBCCCGESSRICiGEEEIIk0iQFEIIIYQQJpEgKYQQQgghTCJBUgghhBBCmESCpBBCCCGEMIkESSGEKIXMjiaEEGWTICmEEEZcvHixZILivys+Pp7AwEBWrVr1j5QnhBAPi3uyso0QQvzbrV+/nmPHjv0jZbm6uvLTTz/9p9bXFUIIkCAphBD3nKWlJfXr13/Q1RBCiH+cXNoWQjyyTp8+zdNPP014eDhhYWEMHTqUqKgoZsyYwcyZMwEIDAxkxowZJf+eOXMmffr0ITw8nFmzZgFw6NAhhg8fTsOGDQkJCaFt27bMmDEDnU4HGF7aXrVqFXXq1CEqKooBAwZQt25dWrduzfz58x9AKwghhOkkSAohHklZWVmMGDECJycnpk+fztSpU8nNzWX48OH07t2bvn37AvDTTz/Rr1+/ksfNnj2bTp068dVXX9GuXTvOnTvH0KFDcXR0ZOrUqcyePZsGDRowc+ZM/vjjj1KfX6fT8dJLL/H4448zb948wsPD+eKLL9i1a9c9f+1CCPFPkUvbQohH0sWLF0lNTWXIkCGEh4cD4Ovry/Lly1Gr1bi7uwMYXJIODQ1l1KhRJT//9ttvREZG8vnnn6NWF303b9asGTt27ODQoUN069bN6PMrisK4ceNKQmp4eDibN29mx44dtGjR4p9+uUIIcU9IkBRCPJL8/f2pUqUKY8eOpXPnzrRq1YqmTZvy+uuvl/m4gIAAvZ979uxJz549yc/P5+rVq8TGxnL69GkKCwvRarVllhUWFlbyb0tLS6pUqUJOTo7pL0oIIe4zCZJCiEeSnZ0dS5cuZfbs2axbt47ly5djY2ND9+7defvtt0t9nLOzs97PeXl5fPTRR6xevZqCggI8PT0JCwvD3Ny83Hkora2t9X5Wq9Uyd6UQ4l9FgqQQ4pHl6+vL559/TmFhISdOnGD16tUsW7YMT0/PCpfx8ccfs3HjRqZNm0ZkZCS2trYANG3a9F5VWwghHhpys40Q4pG0YcMGmjRpQnJyMmZmZoSFhTFx4kQcHBxITEwsGe9YniNHjtC4cWPat29fEiJPnTpFampqyV3bQgjxXyU9kkKIR1KDBg3Q6XQ8++yzjBo1Cjs7O9avX09mZiYdO3bkwoULAKxdu5Z69epRo0YNo+WEhoayfv16li1bRq1atTh37hyzZ89GpVKRm5t7P1+SEELcdxIkhRCPJFdXVxYsWMDXX3/N22+/TW5uLv7+/syYMYMmTZpQs2ZNVq9ezYQJE+jbty8TJ040Ws6ECRPQarVMmzYNjUaDp6cnY8eO5eLFi2zbto3CwsL7+8KEEOI+UikyslsIIYQQQphAxkgKIYQQQgiTSJAUQgghhBAmkSAphBBCCCFMIkFSCCGEEEKYRIKkEEIIIYQwiQRJIYQQQghhEgmSQgghhBDCJBIkhRBCCCGESSRICiGEEEIIk0iQFEIIIYQQJpEgKYQQQgghTCJBUgghhBBCmOR/yTj21DprkbcAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "MovieWriter ffmpeg unavailable; using Pillow instead.\n"
     ]
    }
   ],
   "source": [
    "secvis.animation(ele_tag=1, sec_tag=1,\n",
    "                 output_file='images/sec1-1.gif',\n",
    "                 show_variable='strain',\n",
    "                 show_mats=[1, 2, 3],\n",
    "                 framerate=10)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "tags": []
   },
   "source": [
    ".. image:: images/sec1-1.gif\n",
    "    :alt: StreamPlayer\n",
    "    :align: center"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## plot forces-deformations relationship"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-06T12:33:22.167550Z",
     "iopub.status.busy": "2023-05-06T12:33:22.167550Z",
     "iopub.status.idle": "2023-05-06T12:33:22.264440Z",
     "shell.execute_reply": "2023-05-06T12:33:22.264440Z",
     "shell.execute_reply.started": "2023-05-06T12:33:22.167550Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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hwoUxf/58vHr1CgsWLMCzZ8+wdu1a/Xbjx4/H77//jokTJ8Lf3x/Lly/HoEGDcPDgQeT/r7v86tWrsWjRIowePRpVqlTBzp078cEHH2DDhg2oXbu2vU+XEEKIDfzzD4ft2+XYtk2Ohw+Na3SKFhXQpIkWjRuL8+LkdTXyP/+UYOVKBXbtkkGl4vDDD2lo21abp/d0NF1HZmresqHnz59j1qxZKFq0qNHjW7ZsQVJSEvbs2YPg4GAAQJEiRTB8+HBcvnwZtWrVwrVr13DixAlER0ejSZMmAIBatWqhRYsW2Lx5M0aNGgWlUomVK1di8ODBGD16NACgcePGiIyMxIoVK7B+/Xq7ni8hhBDrSUoC9u2TY+tWGS5cML5d+vsz9O7NoXv3dNSqxVulX87z5xzmzFFgyxa50ciu//1P6tKhhzHn6cjs1t2nPvvsMzRo0AD16tUzevzMmTOoWbOmPvAAQKNGjeDn54dTp07pt/H19UWDBg302wQHB6N27dr6ba5fv46kpCS0bt1avw3HcWjVqhUuXrwIpVJpy9MjhBBiZVotcPy4FO+/740qVfzx8cfe+sDDcQxNmvD49tt03L6dhjVrgPr1894RWakEli5VoG5dP2zerABjHLy8DOHA19f5JhvMidevAa2WQo9Nbd++HTdv3sS0adNMnrt79y5CQ0ONHpNIJAgJCcH9+/f124SEhED2xtKzpUqVwj///KPfBgDKlCljtE3p0qWh1Wrx8OFDK50NIYQQW7p9W4IvvvBC9ep+iIz0xe7dciiV4o06LEyLzz5T4bffUrF9ezp69rTOYp2MAfv3y9CwoR+++soLqakcOI7h3Xc1OHEiVb+dq4ceZ1l3C3DT5q24uDjMmTMHc+bMMarN0UlKSoKfn5/J435+fkhJSQEAJCcnw9/f3+w2qamp+m0AmGyne2/de1lCIuEgkTh+UgapVGL0N8k9KkvroHK0HipLYy9fAjt3yrB1qwy//SY1ei4oiKFHDx6RkTzCw4X/5szh/vuT97K8elWCGTMUOHvWsN+6dbWYPVuN6tUFPH5seN98+TjIZK77M0tMNBx74cLG52Lva9LtQg9jDFOnTkWTJk3Qpk2bTLfjzMz6xBjTPy4IgtltMr5WEMz3QmdMTLKSHNR5Bgf7Zbo/RwgM9HH0IbgNKkvroHK0Hk8uS7UaOHgQ2LBB/JvnDc/JZECHDsCgQUD79hy8vOQAsp4+OKdl+fffwKefAjt2GB4rVQpYsADo1UsKjhPf77+GBABAaKi3w1ZHtwaVyvDvsmV9zJ6Lva5Jtws9mzZtwl9//YX9+/eD/+9q1oUQnuchkUjg7+9vthYmLS1N3+k5ICAAr169MtkmNTUVAQEBAKAf3p6amop8+fIZvY/uPSwVH5/qNDU9gYE+SEpKh1br+sMkHYnK0jqoHK3Hk8vy+nUJNm2SYedOGRISjD9rq1fXok8fHj168ChYUHwsLU38k5mcluXTpxzmz5dj40aZvn+Lvz/Dhx9qMGqUBj4+4oKjOvfuSQGIw+EVijQkJLhuE9f9+zIA4uREMlkqEhIMz1nrmgwKMm29McftQk9MTAwSEhLQsGFDk+cqV66MMWPGIDQ01KS/jSAIePz4sb5TcmhoKM6cOQNBEIxqbB4+fIhy5crptwGABw8eoFq1avptHjx4AIVCgZIlS1p83ILAIAjOc1FrtQJ43rM+FG2FytI6qBytx1PKUqMBDhyQYdUqBS5fNm6+KlJEQM+ePHr31qBSJUNZZKz5sUR2ZZmYCCxbpsDq1Qqkp4thR6FgiIrS4MMP1frJ+t7c77//Gu47QUHaHB+XM3n5UvxboWDw9hbMnou9rkm3Cz1ffPGFvs+NzooVK3Djxg189913KFy4MDiOw5o1axAfH6/v83P69GmkpqbqR2s1bNgQ33//PU6fPq0fsh4fH49Lly5hxIgRAIDw8HD4+voiJiZGH3oYY4iNjUVERAQUCoW9TpsQQsh//v2Xww8/yLFhgxzPnxvCg7c3Q7t2PPr00aBxYy1kNrwDvnzJYfNmOZYvVyAxUQw7HMfQuzePSZNUKFky6y+5us6/UilziVXUs6Kbo6dAAcevJ+Z2oads2bImj+XPnx8KhQJVq1YFAPTt2xcbN25EVFQUxowZg8TERCxYsACNGzdGeHg4AKB27dqIiIjAxIkTMXHiROTPnx/Lli1DQEAAIiMjAQA+Pj4YMmQIVqxYAblcjvDwcOzcuRM3b97Ehg0b7HfShBBCcOWKBKtXK7BvnwwajeHuWqqUgCFD1OjbV2PTAJGcDBw8KMPu3XKcOiXVN2MBQJs2PKZOVRnVKmVFF3qCgpjLr83lLHP0AG4YeiwRHByMH374AbNnz8aECRPg5+eHtm3bYtKkSUbbLV++HHPnzsX8+fMhCAJq1KiBJUuWGPXfGTNmDKRSKbZt24a1a9eifPny+Pbbb1GzZk17nxYhhHgclQrYt0+GNWsUuHrVuAmrcWMew4ap0aqVFlJpJm+QR+npwOHDMuzaJcPRozKTldTr1OHx6adq1K2bs8kFnWWtKmtwlsVGAYBjul6+xKFevEh29CEAAGQyCYKC/JCQkOoRbf62RGVpHVSO1uNOZfnsGYf16+X44Qc5Xr40VIX4+jL06aPB0KEam61ZlZ4OnD4tx+HD3tizhyElxTjolCkjoHt3Dbp141GhQu6OYcAAH8TEyNCgAY/du9OtcdgO07q1L377TYru3TX4/nvjSXutdU0WKmTZwCGPrOkhhBDiehgDLl0Sm7AOHJCB5w1hIzRUwNChakRGanK9wGdWUlOB48dl2L9fhiNHZEhL0+1b/LtYMQFduvDo3l2Dd94R8tx3JWM/GFena95yhpoeCj2EEEKcmlIJ7Nkjw+rVCvz+u3E7VfPmPN57T41mzbRW7/uSnAzExopB5/hxmX70lU7hwkCHDhp06aJB3brW3b87hR5nOhcKPYQQQpxSXJzYhLVxoxyvXhkShb+/uFTDkCFqlCtn3RupVisuDbFzpxy//CKFWm0cdIoUEdCxI4+uXbVo184HSUlqmzQV6vrBOENQyIv0dOhrxZzhXCj0EEIIcRqMAefPS7F6tRw//ywzGgH11ltaDBmiQZ8+GphZJShPBEHsEL1ggQL/+59xbVKJEmLQ6diRR+3aYo2OTCaxWedolQr6fkLOEBTyQte0BTjHuVDoIYQQ4nBpacCuXXKsXi3Hn38a0gTHMbRurcXQoWo0aaK1+jwvjInDzBcsUODWLcN+S5YU0KWLBh07Zlx7yz4yLtDp6qO3nGmxUYBCDyGEEAd69IjDunVybNqkMFoeIjCQoW9fsQmrTBnr3ywZA44ckWL+fC/88Ych7JQuLWD8eBV69uRtOnlhVtw19FBHZkIIIW6JMbH25vVrDomJXIa/DY/dvCnBkSMyCILhxlixohZDh2rQs6cGfpYtp5Tj4/rlFynmzfPCtWuGsBMSIuDjj9Xo00cDedZrjNqcruMv4By1I3lBNT2EEEJcBmPi+lFPnkiQkJAxwIjhRffHXLDJOCtyViQShrZteQwbpkGDBtZvwtKdx+nTYti5dMkQdooVEzBunBr9+mngLCsHOVtQyAtdnx6OYwgKcvy5UOghhBAPlpQkBponTzjExUkQF8fp/y/+kWSYk8Y6OI4hMFC8obdvr0FUlCbbtajy4tw5KebOVeDcOcMtr1AhMewMGKCBt7fNdp0rutDDccwpmoTyQncu+fPDYc2FGTnBIRBCCLGFlBTg6VNdkOHw9KkUr14B9+55IS5ODDlvziZsKamUIV8+hnz5gPz5xX9n/DswUHzc3HMBAbDLelKXLkkwb54XTp0y3OoKFBAwdqwagwdr4Otr+2PIjefPDSO3bDVCzF4Mc/Q4xwzgFHoIIcQFpacDT5+aq50x/P/168wCTeYf/QEBDCVKCChWTPy7eHHD/wsWZPog4+cHh6+YnZnLlyVYuNALx44ZzjMoiGH0aDWGDFFbfbi7tT17JibCokVdu5YHcK7ZmAEKPYQQ4vSuXZNg61Z5hoDDIT4+51Ulvr4MJUtyKFpUi+LFBRQvLqBECfbfv8VwE2DZEkZO6fx5KRYtUuDECcOtLTCQYeRINYYPV7vMuT17JgYFdwg9zjbJIoUeQghxYgcPyvD++94mMwO/ydubma2dyfj/AgUkCA72Q0KC0uUXHM3o7FkpFi5U4MwZwy0tIIDhvffUGDlSjXz5HHhwuaALPcWKuf7PSFfT4yxD7yn0EEKIk9q+XYYPPvCGVsvBx4ehenUtihc3rpkRa2rEDq/ZNTc5a3OUJVQq4Pp1Cfz8gMqVBf1orIULjTso58vH8P77arz3nuuFHZ2nT8VavCJFnCMo5IWupoeatwghhGRqwwY5Jk3yAmMc8udn2LIlDTVruv43/5xISQHWrFHg5EkpLl+WQqnkwHEMX3yhwv79cqOh50FBYjPW0KGu04xlTnIykJqqq+lxjqCQW1qtoaaHmrcIIYSYtWKFHF98IY6jLlhQwPbt6ahc2bMCz+XLEowc6YMHD4z7LjHGYfp0wxjzggUFjBypQVSU83dQtoSuEzPg+s1biYkcGKOaHkIIIWYwBixYoMDXX3sBAIoXF7BjRxrKl3eOG4Y98DywZIkCCxcqjBYbfVOhQgLGjFFj4EDbzNzsKE+fGs7Z1Zu3nHE5DQo9hBDiBBgDZszwwvffi9MClykjBp5SpZzjZmEPDx5wGDXKx6jZypwBA9T46isVfHzsdGB2pOvEDLh+85Yzzixth+mhCCGEZEWrBSZMMASeChW02LfPswLP9u0yNGvml23gAYAPP1S7ZeABDM1bcjlzmqCQW8622ChANT2EEOJQGg0wdqw3du0SV7msVk2LrVvTXf6Glx3GxBXWf/lFhokTM18HomRJAR9+qIZMxjBunJh03Kk5600Z5+hx5dF2gHPW9FDoIYQQB1GpgPfe88bhw2LgiYjgsXlzOgIDHXxgVpaYCNy6JcWff0pw65YEf/4pjsbKSunSAj76SIVevXjI5cDq1YalzwMDneMGagu6Pj3uMDGhbuSWjw9zmiU/KPQQQogDpKYCgwf74ORJ8WO4cWMeGzaku3wtxv37HC5flurDza1bEjx5YllPirZtNahdW0CVKlo0bKiF3JBz9Gs45c/PjB53N4YlKFx75BbgfLMxAxR6CCHE7pKSgH79fHDhgvgR3LatBtHRSqdb7dtSycnA3r1y/PSTDBcv5uy2Ur8+j3nzVKhQIeubvGHhSue5gdqCYTZm1z/P334TA1zhws5zLhR6CCHEjl694hAZ6YPr18Xmne7dNVi2TOlytReCAJw5I8XmzXJ9fyRLFSkiYNgwDQYMUCM42LLXGGoNXL8GJDOCYFhh3dVren77TaIPwB068A4+GgMKPYQQYifPn3Po1csHt2+LgWfAADXmz1dBmv2AJadx7x6HTz7x1jfL5USVKlqMGKFG1648FIqcvdYZm0qs7eVLDjzvHn16dCMRfX0ZBgxQO/hoDCj0EEKIHTx6xKFHD1/cvy9W+Y8YocYXX6hcYoROcjIwfboXNm3KYVKBuPBn/fpavP++Gg0aaHN9vrrmLWeZ5M4W3GWOnqdPOezbJ8aLyEgN8ud37PFkRKGHEEJs7O5dMfDoOvROmKDCxIlqpw48PA8sXqzAggVeWW43daoKRYoICAwUF/vMl48hMFD8OyAAVqvFevVKLDt3Dj0ZZ2N25eatNWvk4HlxnbThw52nlgeg0EMIITZ186YEvXv74MUL8aY9Y4YSo0drHHxUxl6/Bm7elKJmTS127JDjo4+y7lH9xRdKDBigsdtaVzwPJCS4f/NWxnW3XLV5Ky0N+OEHsUawdWstypZ1rvOg0EMIITZy9aoEkZG+SEwUv/XOn6/CoEHOE3jS04GVKxWYPTvr2hwAGDlSjUmTVA4ZUu+Mk9zZgq6mJzCQuezUBdu2yZGYKJ7H++87Vy0PQKGHEEJs4tdfpejXzwepqRykUoalS5Xo1cs5RrHwPLBhgzzLmZABoHNnDRYsUCIoyE4HlglnXLjSFlx95JYgANHR4ki+ypW1aNBA6+AjMkWhhxBCrOz4cSkGD/aBUslBLmeIjlY6xbBdxoBt24A+fTKvRqhZU4sVK9KdqlnCc2p6dBMTuuY5Hj8uxZ07Yieu9993zj5rFHoIIcSK9u+XYcQIb2g0HHx8GNatS0fz5o7/xvvrr1J07Wp+LYBChQR8/70SDRvmfnSVLXlKTY+rL0GhG6ZeqJCAbt0cH/LNodBDCCFWsnWrDB9+6A1B4ODvz7B5czrq1nVs4PnzTwmaNjVfs1OvHo9Nm9Lt1iE5t3TD1QHnWa3bFnTNW8WKuV7z1p9/SnDqlBgpoqI08Mq+m5hDUOghhBArWLdOjk8+EfvIBAUx/PRTGsLDHXfzenNeoIyKFRNw+nSqyyxsqgs9+fKxHE9q6CqUSiA+3nWbt3R9eby8mFN11n8ThR5CCMmj5cvlmDlTDDyFCgnYsSMdlSo5JvC8esVh5EhvnDhh/uP9zz+BokXTwTtn64NZnjAbs66WB3C90PPiBYedO8XQ07OnBoUKOe/xW7b0LSGEELPmzVPoA0+JEgL2709zSOBJTQXGj/dCpUr+ZgPPjBlKxMenolIlux9annlC6NF1YgZcr3lr/Xo5VCrxZzR8uPPW8gBU00MIIbl27pwUCxeKnRdCQwXs3JmGkBD73phv3ZJgyRIFdu/OetHPGzekABzfoTo3DCusu1YYyImMS1C4Uk2PSiU27QJAkya8w2o4LUWhhxBCciEtDZgwQQw8cjnD9u32Czzp6cC+fTKsXKn4L8yYV6KEALkcuH9fgpgYGZRK55sszhK6mh5nbjbJK13okUgYChd2nfPcvVuGly8N68k5Owo9hBCSC9OmeeF//xMDx+zZKpQqZfsb1f37HFavVmDrVjlev858bPmKFen6iRDPnJGie3dfpKRwOH5cin79bH6YVudJzVuFCjHIXOTOzJhhmPpbb2nRrJnz1yRSnx5CCMmhAwdk+PFH8cO+XTsNBg60fT+GgwdlaNrUD9HRikwDT+fOGjx8mGw083O9eloULCg2OezZ4yJ30ww8Zd0tw2zMrnOOZ85I8eefYvAfPlwDiQskChc4REIIcR5xcRw+/ljsuFysmIDFi5U2ndCPMeDrrxWIivJBWlrmO1q1Kh2rVyvh/cbKElIp9N/Ar193vY/8+HgOjLl/6NFNTOhKnZhXrhSDf1AQQ69ezt2BWcf1Yj8hhDiIVguMHu2tX0B0xQolgoNtt7/UVCAiwk+/Qrs5BQoI2LAhHRERmd8sdcPTAwJcLzR4zmzM4s+4SBHXOMe7dzkcOSJGiIED1fA1P9m303G92E8IIQ6ybJkCv/4qftB/+KEaDRvarg/D8eNShIYGZBl4ypfX4uef07IMPIBr94nxhHW3GMs4G7NrnGN0tFjLI5MxDBniGrU8gJuGHsYYtm7dik6dOiE8PBwtWrTArFmzkJKSot/m3r17GD58OGrWrIk6depg6tSpSEpKMnqflJQUTJ8+HQ0aNED16tURFRWFO3fumOxv3bp1aNmyJapWrYouXbrg6NGjNj9HQoh9Xb4swbx54gd9zZpaTJxom5Eqf/8tQeHCAYiMNP/VuWRJAQMGqLFmTTqOHUtDaGj2N8n4ePcIPe5a0/P6NZCe7jrNWwkJwNat4jD1Ll14lwlqgJs2b61evRqLFy/G0KFDUa9ePTx48ADffPMN/ve//2HdunVITk7G4MGDUbhwYcyfPx+vXr3CggUL8OzZM6xdu1b/PuPHj8fvv/+OiRMnwt/fH8uXL8egQYNw8OBB5M+fX7+vRYsWYfTo0ahSpQp27tyJDz74ABs2bEDt2rUdVAKEEGtKTgZGjPCBViuuqfXdd+mQZz0tTo7pRlll5quvlGjenEe5cizHfYh0oceWTXG24gnrbj17Zqh/cIXmrR9/VOj7l7nCMPWM3C70CIKA6Oho9OnTB+PHjwcA1K9fH/nz58e4ceNw48YN/Prrr0hKSsKePXsQ/N+nQJEiRTB8+HBcvnwZtWrVwrVr13DixAlER0ejSZMmAIBatWqhRYsW2Lx5M0aNGgWlUomVK1di8ODBGD16NACgcePGiIyMxIoVK7B+/XqHlAEhxLomTfLGw4fijWnePCXKlLHejenmTQn69vUxmpE3o9Wr09G5c+7XjGDMtWt6dKEnMJA57SKWeaXrxAw4f/OWRgOsXSsm/rp1ebzzjvPXTGXkds1bKSkp6Ny5Mzp27Gj0eGhoKADg0aNHOHPmDGrWrKkPPADQqFEj+Pn54dSpUwCAM2fOwNfXFw0aNNBvExwcjNq1a+u3uX79OpKSktC6dWv9NhzHoVWrVrh48SKUSqXNzpMQYh/bt8uM1hXKOBw8Lx494jB0qDeaNfMzG3gqVNDizp3kPAUeQJxEUanU1fQ49w3VHFfuj2SpP/4wTDBZtKhzh4gDB2R48kS8Xt9/33X68ui4XU1PYGAgpk2bZvL4kSNHAABvvfUW7t69i/bt2xs9L5FIEBISgvv37wMA7t69i5CQEMjemCWqVKlS2L9/v34bAChTpozRNqVLl4ZWq8XDhw8RFhZm0XFLJBwkEhuOe7WQVCox+pvkHpWldTiyHP/5h9OvnF6mjICvv1ZDJsvbcSiVwPz5cixZkvly4Z9/rsbYsRpwXN7POSnJ8LlSqJD4tytdk69eicdasCDLc9lbk7Wuy8ePOf218M47WhQsKLHpFAh5wZhhmHqZMgI6dhTyfP72/v12u9BjztWrV7Fq1Sq0bNkSb731FpKSkuDn52eynZ+fn76zc3JyMvz9/c1uk5qaqt8GgMl2uvfO2HE6O8HBfuCc6EoPDPRx9CG4DSpL67B3OWo0wMiRQEqKONfNTz9JULq06edGTsTGAhkqhs26cQOoXFkBIPNQlBP37hn+XaqU2D7kStfk69fi38WKSREUlLfyt4W8lCVjQL9+4jUmkQCrVkkRHOx856jz66/A1aviv8eNk6BgQesdq72uSbcPPZcvX8aIESNQqlQpzJo1S/+4uYDBGNM/LghCpiEk4zbmMCZWw0pyMD1lfHyq09T0BAb6ICkpHVqtc1ezOjsqS+twVDl++aUcFy+KwWPKFDXCwjRISMjde/37L/D2274QhMx/x/v312DuXHG+k9zux5x//pECEGurvL2VALxd6pp89swHgAT58mmQkOA8nWatcV1u2ybFoUPiz2b0aDXKl8/9NWYP8+Z5AZDB35+ha9c0qxyrtX6/LQ3Ebh16Dh48iMmTJyM0NBRr1qzRj7jy9/c3WwuTlpaGokWLAgACAgLw6tUrk21SU1MREBAAQGxK0z2WL18+o/fRvYelBIFBEJynzVqrFcDzrvGh6OyoLK3DnuV45owUS5aI/XgaNOAxerRKP8FfTjx7xqFTJ188eJD5F6BmzXjMnKlChQriueVmP1nJOM9P/vzivEKudE3qPoaDg53zmHNbli9ecJgyRax5Cw0VMH587q4xe7h+XYLoaAUOHBD7HvXrp4Gvr2DV47XXNek8DaRWtnr1aowfPx7Vq1fHpk2bUEjXmA2xU/PDhw+NthcEAY8fP0b58uX12zx+/NikNufhw4coV66cfhsAePDggdE2Dx48gEKhQMmSJa1+XoQQ24qPF2ddZoxDUJA467I084XMzTpxQorChQNQrZp/poGnWjUtbtxIwdat6frAYwu6kVscx/Df9z6XodW69sizrEyd6qVfU2zxYqXTzWjM88D+/TJ07OiDVq38sH27HILAIV8+huHDnafGLafcMvT89NNPWLBgAdq2bYs1a9aY1Lg0aNAAly5dQnx8vP6x06dPIzU1VT9aq2HDhkhNTcXp06f128THx+PSpUto2LAhACA8PBy+vr6IiYnRb8MYQ2xsLCIiIqBQWKdNnhBiH4wBH33krR9NtWiREsWLW3azVSqBxo19UbhwAHr3zvwO1qQJj7//TsbRo2koXNj2N3JdaMifHy6zereOu6679fPPMuzdK9YkDhqkRv36zrM6eWIisHy5HBERfhg61AcXL4oXja8vw+DBasTEpKJkSdf9WbjYr0D2Xrx4gTlz5qBEiRLo378//vzzT6PnS5Uqhb59+2Ljxo2IiorCmDFjkJiYiAULFqBx48YIDw8HANSuXRsRERGYOHEiJk6ciPz582PZsmUICAhAZGQkAMDHxwdDhgzBihUrIJfLER4ejp07d+LmzZvYsGGD3c+dEJJ7Wi3w+edeOHRIvBkNHKhGhw5Z198zBkyb5qWfkj8r0dHifDv2XolaN+TblYerA+4zG/Pr18Ann4jNWsWLC5g+XeXgIxL9/bcEq1bJsX273Ghh25AQAUOHqtGvn8blagrNcbvQc/LkSSiVSsTFxaFfv34mz8+ZMwfdu3fHDz/8gNmzZ2PChAnw8/ND27ZtMWnSJKNtly9fjrlz52L+/PkQBAE1atTAkiVLjPrvjBkzBlKpFNu2bcPatWtRvnx5fPvtt6hZs6bNz5UQYh0pKeKMy7oFFCtW1GLmTPM3I8aA6Gg5pk3zNvt8Ru+/r0afPhpUqeK4viiG2ZhdLzS4Y+j5/HMvPH8uJt8FC5TIQddPqxME4JdfpIiOVuCXX4zjQN26PN57T4N27XiXqyHMCsd0Q42IQ714kezoQwAAyGQSBAX5ISEh1Sk7DboSKkvrsHU5Pn7MoX9/H/z5p9hxp04dHuvWKY1usunpwPLlCixYkP2UwO+9p8agQRqEhTnHz7xbNx+cPStD27YabN6sdqlrcu9eGd57TxzK/NtvKRY3NdpDbq7LU6ek6NlTbPrs0UOD775zzAS2KSnAtm1yrF4tx507hg5rCgVD1648hg9Xo1o1+1wf1vr9LlTIsvToRvmNEEJy5vJlCQYN8tGPcOrdW4OFC5Xw8hJXvf7gA2+Tb8DmdOumwZQpKqsuT2EtrlzTk3HdLVfv05OaCnz8sVg7WKCAgK++sn+z1sOHHNasUWDTJvkbk1YKGDxYg0GDNHbpZ+ZIFHoIIR5p924ZPvjAGyqV+OH/6acqVK+uRcmSln1jbNSIx7Jllnd0dhR36NMTEOD6627NneulX79t9myV3UIcY8D581JER8tx6JDMaK6oatW0eO89Nbp25V2+fC1FoYcQ4lEYAxYsUODrr40/5WfNyv5Tv2VLHkuWKF3m23DGxUZdOfS4ei3P5csSREeLHeTbttWga1fbT8ijVAJ79sgQHa3AjRuGJiyJhKF9ex7Dh2tQp47WaZe8sBUKPYQQj5GeDnTu7Ivr1y2feGf0aDXGjVMhw/gFl5GcDPC86wYHXfOWKx67jkoFjBsnzvsUEMAwb57KZkFDqwV+/VWKnTtlOHDAuAkrXz6G/v01GDJE7dJDzvOKQg8hxK0plcDChQp8843l9fdbt6ahYUMt5HIbHpgdZBz95Mo1Pa48cmvxYgX+/lsM2Z9/rkKxYtY9F8aAGzck2LFDjt27ZXj2zHhOhLfe0mLYMA1699bAzJKTHodCDyHErWg0wMaNcv3q6JYYOFCNyZPVLn1zNUfXtAW4euhx/pFm5ty8KcHSpeIcTg0b8ujfX2O1937wgMOuXXLs3CnThyqdgACGTp006NGDR4MGWrvPDeXMKPQQQlwazwMHDsgwfHjOVmnety/N7fs0ZAw9YhORa52sK/fp4XmxWYvnOfj4MCxcqMzztfbqFYe9e2XYuVOOS5eMg45CwdCyJY8ePXi0asXD2/LM71Eo9BBCXIpWC5w8KUVkZM4WKwoIYDhyJBXlyrneDTS3TJu3XCf0aLWuHXq+/16u7zs2ebIKoaG5O4e0NCAmRgw6x49L9X20AHE9tfr1tejRg0fHju4xY7KtUeghhDg1QQDOnhXXtco43NYS27aloUkT967NyYqupkcqZQgMdPDB5FBCguuuu3XvHof588U+ZDVqaDF8eM6atXhenMhw5045fv5ZhtRU4wu4cmUtevTQoFs3HiVKuFbZOBqFHkKIU0lLAy5dkmL4cB/9KtSi7JPLnDlKDByocfkOyNaiCz1BQczl+nW46hIUgiAuWqtUcpDLGRYvVkJq4WDBW7ck2LhRjj17ZPoJM3VKlhTQvbvYT6diRdfs4+QMKPQQQhwqLo7DhQtSTJni/UbIyd6kSSqMGqWGb85aujyGLvS4Wk0JYDwbsyuFnh9+kOPcOfHWOm6cGpUqZR9QkpPFyQvXrJEb1WYGBYkdknv25BERQR2SrYFCDyHEbtRqcXjtxYtSLFjgheTknIWcoUPVmDJF5XJNNY7iDrMxA64T2uLiOMycKTZrVaqkxYcfqrPcnjFxfbFp0wyLkHp7M7Rpw6NHDw2aN9dCobD5YXsUCj2EEJt58YLD5ctSXLokwerVCiiVOQs5HTtqsHChGmFhrrNIpjNx5dmYXW3dLcaACRO8kZLCQSIRm7WyCiz37nH45BNvnDxpuA136KDBV1+pqJ+ODVHoIYRYjVYr9sc5dEiG6Gg5tNqchZxKlbRYvz7daKSLTEZ1+rnlyqHn33/FY/f3Z04//PryZQlmzfLC2bPiLfX99zWoUcN8QFcqgW++UWDZMgXUavEcS5USMHeuEi1bau12zJ6KQg8hJE/S0oATJ2TYt0+GXbty3oN427Y0NG5M/RVswVX79Gi1wN694rX01lvOW7t34wYwaZIXDh0y3EorVdLik0/Mr6B+/LgUkyd74/598WKXyxnGjlXjww/V8MnZNFMklyj0EEJy7MULDkeOyPDRRzn/Cj5njhK9emmoX46NabXQdwx3tZqew4dluHtXDAZDh2bdL8YR7t/n8PXXXti+HWBMvI0GBDCMGaPGe++Zdqx/+pTDZ595Yf9+w5eCRo14zJunRPnyrvWzcXUUegghFrlzh8O6dQqsWpWznpVDh6oxeLAGYWGCx86X4wivX0M/EsjVQs+KFeI1Vry4gG7dbL8iuaWeP+ewaJECGzfKodGIZevtzTBsmBpjx6oRFGS8Pc8Dq1fLMW+el36uncKFBcycqUK3bjz9PjgAhR5CiFmCIPbPGTjwzflysla1qli936CBlhY4dKCMC08WKuQ6oefCBSkuXxYnthk+XO0Ucy4lJopBLDpagfR08XdBJmMYNozD2LHpKFTItC/OpUsSTJrkjZs3xXORSBiiojQ0+tDBKPQQQvTS04GdO+X4+OOcNVvNnq1E8+Y8ypZ1nZuru3v82BBUS5Z03n4xb1qxQkw5AQEMAwZYb4HO3EhLA1avFjsdv34tlifHMXTrxmPqVA1q1vRFQgIDn6EyKj4e+OorL2zcaKgRrV5diwULlHjnHdf5ObgrCj2EeDhBEEeTzJnjZfFr2rbVYMAADRo10jr9yBpP9fixoaaneHHXCKN37nCIiRFvS4MGqREQ4JjjUKuBjRvlWLRIgX//NZRj69Y8pkxRoXJlwWRUoSAAW7fKMHOmF169Ep8LDGT49FMVBg7UWDwrM7EtCj2EeKiXLzm8/ba/xdv36aNB584aNG6shZfl+Yg4SFycbuSW4DIzVn/3nQKMics35HS9KmvQaoFdu2SYN88LDx8aQk29ejymTlWjTh3TZizGgCtXJPj8cy9cuGC4pfbqpcGMGSoULuwagdNTUOghxIO8eMFhxQoFvv3Wss7IvXtr0KULBR1XFBcn3rRdZaK75885bNsmNm317MmjaFH7HTdjQEyMFHPmeOHWLUOVTNWqWnz6qQrNmpkuWvvsGYfVq4E1a3zw11+GgBQWpsW8eWKfNuJ8KPQQ4ubi4jjs3CnHV19Zllp69xZrdJo0oaDjynR9ekJCXKMfyZo1cqhU4jGPGmWfYeoaDXD0qAzLlin0nacBoFw5AZMnq9CpE280f5RSKQ6n37pVjl9+kUIQAEDcwNeX4aOP1Bg5Uk1LRzgxCj2EuKnHjzl8/rkX9u3LfvhLt24adO+uQdOmFHTcha6mJyTE+Wt6UlKA9evFpNCqFY8KFWwb1G7dkmDLFjl27JDh5cuMfZ8ETJigRmSkBrL/7o665qutW+XYs0eu79CsU7euVv9FgUZlOT8KPYS4mcePOfTr52NUTW9O3bo8Ro9WU9BxQzwvTogHACVKOH9Nz+bNciQmisc7erRtankSEoBdu+T46Sc5rl83/t0oXFjA6NFqREVp9B3znzzhsH27HFu3ynDnjvH2ISECIiN5vP++AgUKKGlNOBdCoYcQN/H33xI0bJj9xDhr16ajZUueRl25sWfPOP3EhM5e08PzwMqVYi1PeLgW9epZry+MVgucPCnFli1yHDok0691BYhLQLRpw+PddzVo1kwLmUwcor5jh9h8deqUFIwZtvf1ZejYkUdkpAb162uhUEgQFKRAQoLVDpfYAYUeQlwYY+Jw89mzs66qGTZMjenTVRR0PETG4erOXtOzb58Mjx6JxztmjNoqsxTfvcvhp5/k2LZNjqdPjYeWV6mixbvvatC9O48CBRgYEydE3LpVhr175UhJMT6A+vXFoNOxIw9/ywc7EidFoYcQF6NUArGxMgwdmv0KhUePpqJaNee+6RHr0w1XB5x79BZjhiUnypQR0L597pecSEkRFyndskWGixeNb23BwQJ69BDDS9Wq4u/Do0cc1q9XYOtWuX4BUJ1SpQT06aNB794alC7tvOVHco5CDyEu4MULDrGxUsyY4W3SkfJNtWpp8dNPadSp0oPpOjErFMypl6A4fVqKP/4Q+8uMGKHO8QR+ggCcOyc2Xx04IENamuF3QyplaNFCiz59NGjThodCIf4erV0rx969Mpw7Z3z78/Nj6NxZDEZ16miNRm0R92GT0DNv3jx88skntnhrQjwCY8Bff0lw5IgMGzeafhM1Z9YsJQYM0FATFtEPVy9enDn1zXv5crGWp0ABAZGRlk9GyBhw4IAMX37pZfK7ERamRWSkBr168ShShCEhAdi2TY49e2Q4c0aq7+sEiEtKNGwoBqMOHXhaK84D2CT0/PjjjyhUqBB69+4Nf2oEJcQiGg1w/rwUMTEy7NplPJQ2K6tWpaNjR56muSd6huHqztu0eeOGBCdOiLegqCiNxbNG//MPhylTvHH8uOH2FRDA0K2bBu++q0GNGgJSUoBDh2TYs0eOEyek4Hnj2tG339aia1cePXpoULKk89aEEeuzSegZPnw4OnXqhD179iAtLQ316tVD1apVbbErQlzeq1cc1q+XY948y8eNz5ypRP/+GupYSczS1fQ4c38e3azg3t4MQ4ZkX8ujVIo1Q998o9BPYliypIBPPlGhY0cejIl93ZYtU+DYMZl+G53y5cWg07Urj7Aw5w2DxLZsEno++OADAED//v0BAPv27cPcuXPRpUsXdOzYEb6ushAMITZ09qwU/fr5GPVDyEp4uBbff5+O0FDnvZER56AbveWsI7fi4jjs2SPeft59V4OCBbO+pk+ckGLyZG/cuyeel0zGMGqUGqNHq3HunAzjxnnjyBGZye9SqVICunXToEsXHpUrC1YZGUZcm01Cz4kTJ9C0aVOcO3cOP/30E06cOIF69eohODgYO3bsAGMMffr0gTd1PiAeRqsFZszwQnS05fPUv/uuBuPGqSjsEIskJQHJyc49R8/KlQrwPAeJhGHEiMwnI3z2jMO0aV7Yu9cwq3hEBI/27Xn8+acUtWr5689Vp3hxAZ078+jWTYPq1SnoEGM2CT2fffYZ/Pz8oFQq0bNnT0yZMgVFixbVP69UKrFx40YMGzbMFrsnxOk8fsyhWzdfPHhgWT+dSpW06NaNR/fuGpQq5Zw3LuKcnH2OntevgR9/FENMhw682TDP88DatXLMnetlNG+Ojw/D339LTYakFyokBp0uXXhERNDIK5I5m4QejuMwadIkNGvWDBIzV9/69euRQNNYEjfHGLB9O9C7t2VDQgoUEDBkiAZdu/J46y3nu1kR15Bxjp6SJZ3vOtqwQYHU1MyXnLh8WYJJk7xx44Zpz/z0dA7p6eK/g4IYOnYUf1/q19dSR35iEZuEnmHDhqFFixaZPv/o0SNERETYYteEOFxKCvDZZ17YvNmyJqyPPlKha1ceFStSVTzJu4w1PcWLO1ctoUoFREeLtTz16vGoUcMQyuLjgVmzvPDjj5n/3nh7M33TVePGWsizX0uXECM2CT2DBg3K8vlZs2bZYreEONQff0jQs6cvEhKyTy4DB6oxaJAGVapQ0CHWpavpKVBAsHgYuL3s3CnDv/8alpwAxAkGt26VYeZML7x6Zb5dKiiIYcgQNYYM0Tj1ZIvE+Vnc8vnNN9/kagdLly7N1esIcQVKJbB9uwyFCwegRQu/LANP7dpaxMSk4vnzZHz9tQpVq1LgIdZnGLnlXOFAEAzD1CtU0KJFCy3+/FOCLl188OGHPmYDT8mSAmbPVuLq1RR88omaAg/JM4tDz9GjR3O1g9jY2Fy9jhBn9s8/4qiSUqUCMHp01mtg7dyZjmfPknHwYBrCwynoENvS1fQ4UydmQQDWr5fj77/FjjeDBmkwc6YXmjb1w4ULpg0OVauK0zNcuJCKYcM0NFMysRqLm7fu3r2LH3/8EQEBARa/eVJSEu7du5erAyPEGZ0+LcX773tnO1vyV18pMWKEFgUK+CEhQQCf+3UUCckRw2zMjq8VEQTg4EEZvv5agVu3DD2Np041P11JkyY8xoxRo3FjLX05IDZhcegRBAGzZ8/O0ZszxsDRlUvcwMuXHN5+O+vpjwsUEHD2bCqCg8X/mxu5SIgt8Tzw9Knja3oEQVwba+FC47CTme7dNRg9Wq1fAZ0QW7E49BQoUABVq1ZFqVKlLH7zpKQk7N27N1cH5mpOnTqFJUuW4O7duwgODkZkZCSGDx9Ooc/F/fGHBC1aZF233qOHBt99p7TTERGSuefPOWi1jpuYUBCA/fvFsHP7dvZhZ9gwNd5/X43SpR1fK0U8g8WhJzY2FgcPHsSDBw9QoUIFtGnTBgpF9kNyr169mqcDdAVXr17FqFGj0K5dO4wbNw5XrlzB4sWLIQgCRo4c6ejDIzn0/DmHrVvl+OqrrNfCqlePx6pVShQuTB/YxDk4amJCrdYQdv76K/uw8+GHKowcqdbXihJiLxaHHl9fX/Tq1QsA8L///Q/R0dEQBAEtW7bE22+/nenrqlWrlvejdHIrVqxAxYoVsWDBAgBA48aNwfM8oqOjERUVRcttuACeFz+0Fy/O/htqQADDrFlK9OnDU78D4lQyTkxoj5oerRbYu1eGRYsU+k7KWZkzR4l337V8RXVCrC1X8/S89dZbeOutt6BWq3H06FEcPHgQISEh6Nixo0lH56+//toqB+qs1Go1Lly4oF9kVadNmzZYvXo1Ll++jIYNGzro6Igl4uI4hIdbtlx548Y8vvlG6XTDgQkBDDU9cjmz6fBurRbYs0cMO//7X9Zhx8uLYcUKJTp04GnWZOJweZqcUKFQoH379mjfvj3i4uKwefNmpKamokGDBqhTp461jtGpPXr0CBqNBmXKlDF6vHTp0gCA+/fvU+hxUikpwNix3jh4MPtpXX19GaZPV2HwYA2t60Oc1uPHYk1P8eLMJtepVgvs3i2GnTt3sk4w1app8cUXKtSvTyOxiPOw2ozMJUqUwPvvvw/GGE6dOoUPPvgAVapUQdeuXVG4cGFr7cbpJCUlAQD8/Y1rCvz+m1giJSXFoveRSDhIJI7/ZJBKJUZ/u6OHDzmsXCnHd99ZNod9nTparFihQtmyDDmY2sojytIeXr+W4OJFoHZtCWQ2mUPefTx5Il5rJUsyyGSm111ur0meB3btkuLrrxW4cyfr1/btq8EHH2gQFqaraXLP659+v63D3uVo1Y+QtLQ0HDx4EDt27MD169dx5MgRnDp1Chs3brTmbpyKIIidBTMbpWXpsOXgYD+nGukVGJj1hHuuhjHg9Gngm2+AXbsse41CAcyaBXz0kRRSae47IbhbWdpbZCRw5AjwzTc+eKMVmbzh6VPx77JlpQgKynzUoaXXZFwcsHcvMH8+8OBB1tvOmwe89x4QFCQH4DmLYtHvt3XYqxytEnquX7+O7du34+eff0ZaWhp8fHzQrVs39OzZEzVr1rTGLpxWYGAgANMandTUVACmNUCZiY9PdZqansBAHyQlpUOrdf05M1QqYNcuGVaulOH33y3vUPDOO1p8+60KlSox/FeZl2PuVpaO8scfvgA43L2rQUKC6arcxODBA7GsChdWIyFBY/J8dtckY8DNmxIcOiTFoUNS/PZb1r8z+fIxLFmiQocOWn0tXEKCNc7E+dHvt3VYqxyzCvkZ5Tr0vH79Gnv27MGOHTtw584dMMZQtWpV9OzZEx06dLD4Zu/qSpUqBalUigdvfA3S/b98+fIWvY8gMAiC83SO1WoF8Lzr/iI/f85h/Xo5NmyQZzt7ckYyGcNHH6kxbpwacjmsMpOyq5eloyUni3/7+TEqxywkJQFJSbo+PVlfcxmvSY0GOHdOipgYGWJiZHj4MPvfl2bNeEydqsI77xj24amzjtPvt3XYqxxzHHrOnTuH7du34+jRo1Cr1ciXLx/69++PXr16ISwszGT7Z8+eoWjRolY5WGfk5eWFWrVqITY2FkOHDtU3UcXExCAwMNAjhuw7k+vXJYiOVmDPHhk0mpzVnFWooMXy5UqjD3LiWIwB/1Wawt/feb4UOCPd8hNA9nP0JCUBR47IcPiwDEePyvRhKTsffaTCkCEaFClCPwvimiwOPWvXrsXmzZsRFxcHAKhXrx569uyJli1bZjlJ4ahRo7DL0k4ULmrkyJGIiorChx9+iB49euDatWtYs2YNJkyYQHP02AHPA4cOyRAdLTdZvLBECcHoZmAOxzGMHKnB5Mkq0I/LuaSmAoyJN2QPqTzOtezm6Hn8mENsrAxHjwInTvha/KWgVCkBEyao0LUrT78fxOVZHHrmz5+P4sWLY9SoUejRoweKFy+e7WsePXqEv//+O08H6Arq1auHZcuWYenSpRg9ejSKFCmCSZMmYciQIY4+NLeWmAhs3CjH2rUKo5lofX0ZevfWICiIYfHirGdVLlZMwIoVSjRsqLXx0ZLcSE013JippidrGX8HihcXa3qePuWwcaMchw/L8McfGfvnZB942rfXYPhwDerVoyHnxH3kqHkrKCgIFy9exKVLl7LdljGGmzdvQqv1jJtJq1at0KpVK0cfhkf4+28JVq2SY/t2OdLSMn67FTB0qBo9e/JYsECRbeDp0EGDhQuVNBW+E8s4PoBqerKmq+kJDhbw+jWHL79UYONGOdRqyxOLnx/DgAEaDB1K62ER92Rx6MmXLx+2bt0KWQ4mynj48CHat2+fqwMjJCNBAH75RYroaAV++cX4GqxTh8fw4Rq0a8cjLo5D//4+uH4981Envr4MX32lQr9+GvoG6+RSUqimx1K6mp74eAkiIvxyFHZCQwW8954akZEaCpfErVmcYMqUKZOjwAOII5vMdW4mxFIpKcC2bXKsXi03mgFWoWDo2pXH8OFqVKsmVuXHxEgxZowPXr/O/MO+WjUtvv8+HeXL0w3UFRiHHgceiJPbs0eGnTsNc+NYEniCghg6dtSgc2cejRppaaZx4hEsTjFLlizJ1Q5WrFiRq9cRz/bwIYc1axTYtEluNLKkYEEBgwdrMGiQYQQJzwNz5yqwdGnmzVkcxzB6tBqTJ6uRRb974mSMm7coqL7p0SMOHTv64ulTyxJLQABDjx4c2rdXokEDDeSeM4cgIQByEHqKFSuWqx3k9nXE8zAGnD8vRXS0HIcOySAIhrBTtaoWw4er0bUrD68M2YbngREjvLFvX+af3kWLip2VGzXyjP5l7oSat8x7+JDDN98o8OOPliX4Hj006NpVg5YtGYoW9UNCgtZj59Uhno1WsiEOp1SK1fPR0QrcuGFowpJIGNq3F/vr1KljOoKE54HRo7MOPO3ba7BoEXVWdlXGo7cceCBO4v59DrNne2HPnuyraLp00aBLFx4tWvDw+W+Gf3PrcRHiSSj0EIfJbNbkfPkY+vUTR5CULGn+271WC3zwgTd27zb/4e/jw/DllyoMGECdlV2ZrnlLKgW8vcWfuyf65x8Offv64u7drENLmzY8evTQoFUrHn6WzcpPiEeh0EPs7t49DgsXepnMmly+vBbvvadB796aLD+wBQH46CNv7NhhPvBUrarF998r8dZbNLOyq9M1bwUEwCPD6/HjUkRGZr3YbZEiAmbMUKFtW55qwwjJBoUeYjcaDfDddwosWKCASmW4gzVvLo7Cato0+xEkggAMH555k9aoUWpMmaIy6vdDXFfG0OMp/vhDghYtLKumuXgxBWXKUF8nQixFoYfYxfXrEnz0kbe+z45cLjZhvfeexuIaGcaA9u19cfWq6Rw8RYoIWL5ciSZNPLT9w00Z1t1y7HHYEmPApUsSdOxoeXtU69Y8oqPT4Zt1JRAh5A0UeohNpaUB8+d74fvv5frRWLVqabF4sRIVKlje/MQYULy4P7Ra0zaOtm01WLxYhQIF6Buvu3HXmp70dODkSSkGD/YxGqVoTvfuGpw7J9UPS+/bV42vv1Yhh9OmEUJAoYfY0MmTUkyY4I0HD8QPaz8/hs8+UyEqSpOjidAYA4oUMX/X69NHg2++UdLEam7KnULPkyccjhyR4fPPvYyWTzFnwAA15s1T4eZNCd5910ff0f+jj1SYPFntkf2bCLEGCj3E6hISgBkzvPHTT4Z+Ny1b8pg/X2l29eesqNVASIj5O1737hosWUKBx53pRm+5YujRaoFr1ySIjZVh1SqF0ZxD5nTooMHSpUr9uZ44IUVUlA9SUzlwHMPs2SoMHaqxw5ET4r4o9BCrYQzYu1eGqVO99N9MCxYUMGuWCl278jn+dpqeDpQubf5u17GjBsuXKyHNfIkt4gZcraZHpRJrOA8ckBuF/syEh4vLooSGGn8Z2LVLhrFjvaHRcFAoGFasUKJLF5pNkJC8otBDrOLJEw6ffOKNmBjDJdWnjwZffJH7iQEzCzxt22qwcqWS+jR4AFcIPWlpwPHjMmzaJMexY9lflH5+DD/8kI6GDcUJNxkD7t7lcPGiFJcuiX/++ktM8/7+DBs2pNNs4oRYCd02SJ4IArB+vRxffeWlv0GVKiXg66+VaNo09x/UHTv6mH28RQseq1Ypac0gD+GszVspKcChQzJ88YUX/v3XsvbV+fOV6N9fA40GuH5dimXLFP+FHAni403fo1AhAT/9lI6qVWm+KUKshUIPybW//xaHoV+6JH4rlUgYhg/X4JNPVHmaDfbTT71w8aLppdm4MY+1a9NpDh4PoluGwhlCz+vX4jxTixZZfgFOmaJC584a/PmnFBcvStGpky9+/11iNClnRkWLCoiI0KJ2bS26deNRuDCNSCTEmij0kBxTq4GlSxVYskQBtVr88H77bXEYenh43r6VLl8ux6pVposo1q/P44cf0vVrCBH3JwjQj3JyVOi5d4/D1KneOH7c8o/Krl01KFVKQFycBJs2yTFnjvmQJJEwVKkioHZtMeRERGhRogSjkVmE2BCFHpIjly9L8PHH3rh9W6zd8fJimDBBjVGj1Hluclq1So6ZM71NHo+I4LFxI03E5ml0ExMC9gs9Go3YbDVpkpfZJqfMeHkxBAQwpKdzmS4GGhjIUKuWVl+TEx6udetJFwlxRhR6iEUYA2bPVmDpUgUYE7+K1qvHY9EiJcqVy3sV/Lp1cnz6qWngAYAtW9Lp5uCBMg7xttXPnzGxNmfzZjmWLbO82apSJS1SUjikpgLx8RKoVJzR0ioAULasoK/BqV1bi7AwgaZXIMTBKPQQi+zYIcM334g3hcBAhhkzVOjXL2eTDGbmxx/l+OQT84Hn5s0Up+jPQewvMdEQIvLnt977JiQAJ07IsGSJArduWTbnQf36PIKCGFJSODx+LDH7ukqVtGje3BByChak/jiEOBsKPSRbjx9zmDxZDCWlSwvYvz8NRYta5wP9zh0O48ebDzz9+qlRqBDdODzV69eG0JPbaQ8AscnqyhUp1q+XY9cuy9pgOU7slK9QMLx6xeHECRl+/VVisk2tWgLatdOgfXseZcvStUqIs6PQQ7IkCMDYsd5ITuYgkTCsWJFutcADAGfPZn4Jjh2rttp+iOtJTDT8OyjI8tfpmqz27cu8E7E5TZrw6NFDA57ncOGCFNu2yZGQYNxkJZczNGyoRfv2PNq25VGkCAUdQlwJhR6SpZUr5fpg8sEHakREWHfOkLVrzX/zrl+fvjl7uozNW9mFnoQE4JdfZPj4Y+9s17XKqHNnDUJCGJKTgRs3pJg40dukb46vL0PLljzat+fRsiWPwMAcnQYhxIlQ6CGZunVLgtmzxW/KVatqMWGCdWte4uORaZ+K/v1pjSFPpws9HMeQLx+H168Nz6nVwMWLUkyd6qUfSWipsDBx0sy7dyXYt8986C5QQEDbtjzatePRuLEW3uZbYAkhLoZCDzFLpQJGjRK/9Xp5MXz7rRIK0+lzco0xYPRo40l3atfW4tIlKfLlY+jQgdYZ8nS60JMvH8BxwB9/SDBjhhdOnMjbx9bff5uGpJAQAVWqaFG1qoCGDcXOyLSuGyHuh0IPMWvePDlu3hQ/9adNU6FCBes2a61cabxOUViYFtevix1Fe/XS0CSEBL//Ll5/iYncf6ME835RcBxD+fICqlYVQ061auLfeekoTQhxHRR6iIkzZ4ClS8Vq/0aNeAwbZt2mpqtXJfjyS+MOpnI59LM79+tHTVueSK0GNm3KfPqCnFIoGCpWFFC1qhZVqgioVk2Lt98W8rRECiHEtVHoIUaSk4GBAwFB4BAYyLB0qdKqE6q9fg0MH+5jsvZQfLz4/xo1tKhcmRZY9BQvXnCYNMkLBw/mfjpviYQhNJQhLEyLihUFhIUJqFBB/NuaTbKEENdHoYcY+fRTBf75R/z3vHlKlChhvRFUjAEff+yNhw9NU9TTp+JjVMvj/i5dkqBDh5xXt+jCTYUKxuGmXDmBOhoTQixCoYfoHTokw8aN4jfurl15dO9u3c7E69fLsX+/+P6RkRr89JPxt3tfX4Zu3Sj0uBueB77+Omerk2cUGMhw+jSHwoXTIJVSLSAhJPco9BAAYjPD+PHiTalYMWDhQpVVV3v+4w8Jpk8X3z8sTIsRI9QmoadbNw2tseUmXr7kMGCAD65csXwIVJMmPBo10qJuXR7VqwuoXt0PL19KMGSIBtWqKZCQIAYoQgjJLQo9BIwB48d74eVLsYlp3TpxMjhr3WCUSrEfj0rFwdubYdUqJQ4cML30aG4e13b5sgTt21vebFW/Po9WrXjUry8OFZdluCQYMyxDYc11twghno1CD8HmzXIcPizWurz3ngZt2siRkGC99z9zRoq7d8VA9dVXKlSqJKBvX+NankqVtKhRg5ouXM0ff0jQooVlQcffn2HSJBUaNBBHUWU1D05qKvSd3fPlo5m5CSHWQaHHw92/z+Gzz8Rmp/LltZgxQw0g9yNpzHnwwNBxuWdPsTYnLs64M3P//hqrNqcR2/n9dwlatrQs6PToocHAgRrUrq01qsnJTsbFRoOCKPQQQqyDQo8H02qBMWO8kZrKQSplWLFCCV9f6+/nyRPxBlaggGD2/b28mD4MEef08CGH1q19ER+f/fwF06ap0LmzBqVL5z6sZFx3K39+Cj2EEOug0OPBVqxQ4OJF8RIYP16N8HABgBUn5fmPrlZHN/w9Pt74+Q4d+Bytok3sQ60GvvjCC6tWZT/ZzcqV6WjVirdaR/SMNT3Up4cQYi0UejzUH39IMG+eeDOrUUOLceOsu5hoRo8fizew4sXFPju7dxs3nw0YQLU8zuTePQ5162afXrZsSUOzZlqrTl6pQzU9hBBboNDjgZRKYPRob2g0HHx8GFasSM9Rf4ucevJEvCuGhIg3ry1bjENP/fpa2+2cWIQx4MABGYYOzXp9qzlzlBgyxPb9r3Qd36VShkKFKPQQQqyDQo8Hmj3bC7dvi0NnPv9chXLlbHdT0WqBp0/FO2SJEmJNj24hSQD47DPrzgdEcobngfnzFViyJPOJA/PlY9i3Lw2VKtlvdN21a2LoqVhRoMVnCSFWQ6HHw/z7L4eVK8WalubNeQwebNumpefPOWi1utBjGq5696amLUc5eVKKXr0y77nesiWPJUuUKFzY/jUtv/0mBuPwcKoFJIRYD4UeD3PvngSMiSHk449tX8ui688DiDU9SqXx80WLUtOFvcXHAxUrBmT6fI8eGixcaJuRfJb4918Ojx+LNT1i53pCCLEOG3RBJM7s338NIaR4cdsHjozz8ZQowXD4MOVsR2EMWLpUkWngqVJFi7i4ZHz3neMCDwD89pvhmqlenWp6CCHWQ3cgD/P8uSH02KPZIi5O3J9UylCkCMOmTdad+JBYJrsRWatWpaNLF+dY2OrqVbFpy8eHoWJF20yjQAjxTG73aZKSkoL58+ejVatWqF69Ojp27IhNmzZBEIyryU+dOoXu3bvjnXfeQbNmzbBy5UowZhwC7t27h+HDh6NmzZqoU6cOpk6diqSkJJP9TZ8+HQ0aNED16tURFRWFO3fu2Pw8c0sXegoUEKDIfvqVPNPV9BQvziCVAidPGnJ2mzbOcZN1Z2o1MH26V6aBp1w5AadPpzpN4AGAa9fE0FO1qhZyysiEECtyu5qe8ePH47fffsMHH3yAsmXL4vz585g1axYSExMxevRoAMDVq1cxatQotGvXDuPGjcOVK1ewePFiCIKAkSNHAgCSkpIwePBgFC5cGPPnz8erV6+wYMECPHv2DGvXrjXa3++//46JEyfC398fy5cvx6BBg3Dw4EHkd8JZ1Z49E0OIvTqn6mp6dHP0ZFSoEPXXsKXz56Xo3DnzdqqOHTX45hslAjLv3mN3jGXsxEzXByHEutwq9Ny8eRMnTpzAkiVL0K5dOwBAvXr1kJSUhNWrV2PUqFHgOA4rVqxAxYoVsWDBAgBA48aNwfM8oqOjERUVBW9vb2zZsgVJSUnYs2cPgoODAQBFihTB8OHDcfnyZdSqVQvXrl3DiRMnEB0djSZNmgAAatWqhRYtWmDz5s0YNWqUYwoiC7qaniJF7BV6DLMxv1HZhoIFqROzLaSnAzNmeGH9evNVeRIJw7RpKowa5Xzrnd2/zyEhQTwoGrlFCLE2t2ve6tOnD+rVq2f0WJkyZZCWloZXr15BrVbjwoULaN26tdE2bdq0QVpaGi5fvgwAOHPmDGrWrKkPPADQqFEj+Pn54dSpU/ptfH190aBBA/02wcHBqF27tn4bZ6PryGy/0CPuLyREwJkzxstqU+ixvnv3ODRv7pdp4ClYUMCOHekYPdr5Ag9gqOUBqBMzIcT63Cr0VK5cGTNnzjRpVoqNjUWBAgUQHByMR48eQaPRoEyZMkbblC5dGgBw//59AMDdu3cRGhpqtI1EIkFISIjRNiEhIZC9MZ1xqVKl8M8//1jtvKxJV9NTtKjtmw7S0qBfoLJ4cYbNm407aNBMu9a1b58Mdev662czflOtWlocO5aGhg2dN0zoOjHnz88QGkrXByHEulymeSstLQ2xsbGZPl+wYEGjGheddevW4dKlS5g6dSokEom+I7L/Gysj+vn5ARA7JgNinx7dY29up9smOTnZ5H1026Smplp4ZiKJhINEYtuv3mq1IYQUKwbIZKY3R6lUYvR3XmQcKVa6NDB5snHoKVLE/DG4C2uWZVZUKmD6dAVWrTLf65fjGN57j8fMmWooFBwAJ6zi+c/164ZJCeVy4/KzdTl6AipL66GytA57l6PLhJ74+HhMmjQp0+cjIiJMQs+GDRswb948dOzYEQMHDgQA/SguLpO6fUmG1RPNbcMY0z8uCEKm75PZ45kJDvbL8Wty6uFDw7/LlfNCUFDmSw8EBuZ97v/Xrw3/rlTJ2+T5cuV8PGJ1dWuUZWb++Qfo1Qu4csX8882aAYsWcaheXQ7AuYdCaTTA9evivxs0kCEoyPjjyZbl6GmoLK2HytI67FWOLhN6QkJC8Ndff1m0rSAImD9/PtatW4dOnTph7ty5+kARGBgIwFCjo6OrmdHV3Pj7+5tsA4g1TkWLFgUABAQE4NWrVybbpKamIiCHQ2Li41NtXtNz+7YEgHhh+fmlIyHBtIlLKpUgMNAHSUnp0Grz1gR2+7YMgBisAgJSARjXnHl5pSIhIU+7cGrWLEtzfv5Ziv79TcMkIA5FnzlTjbZtteA4uEQ5f/qpAunpYjCrUkWJhASxGc7W5ehJqCyth8rSOqxVjkFBpi0z5rhM6LGUWq3Gxx9/jNjYWAwaNAhTpkwxqkEpVaoUpFIpHjx4YPQ63f/Lly8PAAgNDcXDjFUjEMPU48eP9Z2gQ0NDcebMGQiCYFRD9PDhQ5QrVy5Hxy0IDIJg2z4MutXOAaBgQS14PvP9abUCeD5vv8i64vPzY/ivG5SeRMIQECCAd57pYWzGGmWZEWPAvHkKLFpkvqZu5kxxJXSFQlzw1RX8+KMc330nBp66dXk0bqwxuTasXY6ejMrSeqgsrcNe5eh2jZGTJ0/G0aNHMWXKFEydOtWkycjLywu1atVCbGys0WSEMTExCAwMRLVq1QAADRo0wKVLlxAfH6/f5vTp00hNTdU3ozVs2BCpqak4ffq0fpv4+HhcunQJDRs2tOVp5krGPjb2GL315IlhdfUtW4ybVoKDxckKSc7Nn28+8EilDMeOpWLECI1dJp60ljNnpPjkE/F8SpUSsG6dEjK3+zpGCHEGbvXRcvToURw8eBDNmzdH9erV8dtvvxk9//bbb0OhUGDkyJGIiorChx9+iB49euDatWtYs2YNJkyYAG9vsbmgb9++2LhxI6KiojBmzBgkJiZiwYIFaNy4McLDwwEAtWvXRkREBCZOnIiJEycif/78WLZsGQICAhAZGWnv08+Wbrh6vnwMPnZoPtUtGlmiBI3cspYlSxRYuNA08DRowGP1aiUKFHCtcr13j8OQIT7geQ4BAQybNqW73DkQQlyHW4WeI0eOAACOHz+O48ePmzx/7NgxhISEoF69eli2bBmWLl2K0aNHo0iRIpg0aRKGDBmi3zY4OBg//PADZs+ejQkTJsDPzw9t27Y16Uy9fPlyzJ07F/Pnz4cgCKhRowaWLFmCfPny2fZkc8EwMaF9qmINExMKSEszvtRojp6c++47OWbPNg08I0aoMX26yuVqRxITgX79fJGYyEEiYVi1Kh0VKlAzASHEdjj25oJTxCFevEi2+T7efdcHx47J0KgRj507081uI5NJEBTkh4SE1Dy1rzIGlCnjj/R0Dp98osK8ecY36+7dNfj+e2Wu398VWKssAWD1ajmmTjXttLxsWTr69HG9jlEajXg9njolJrXZs5UYNkxjdltrlqOno7K0HipL67BWORYqZNngIbfr00Myp6vpsce6W/HxHNLTxf2ZWzSSanosl1ng+fJLpUsGHkEApk710geeQYPUGDrUfOAhhBBrotDjQey57pZu+QkAePnSdCg+9emxzNq15gNP8+Y83n/f9YLCxYsStGvniw0bxJ7WjRrxmD1b5ZRLYhBC3I+L9QIgucXzhvBhjyUodP15AODVK9M7GtX0ZG/rVhkmTzYNPBIJw/r15psnnVVcHIcvv/TCrl2Gar/KlbVYsybdbE0gIYTYAoUeD/HyJQfGHFPT8+iRudBDbeBZ2b9fhrFjzQ+xu3QpFd7m5yR0OqmpwPLlCnz7rULf3JkvH8PEiSpERWko8BBC7IpCj4ew9xw9upqeggUFnD9veplR85Z5jAEbNsgxaZL5VLNtWxpKlnT+smMM2LlThi+/9MLTp+K1IJEwDBqkwaRJahqWTghxCAo9HuLZs4yhxx7NW+L+fH3NP0/NW6YeP+bw0UfeOHnS/K/l1KkqNG3q/FMsX7kiwWefeePKFcPsk40b8/jySxUqVaIaPkKI41Do8RDPnxv62Nijpkc3MaG5/jwAhZ6MGAM2bZJj+nQvpKSYL6/WrXl88IHazkeWM0+fiv12duwwtFmFhgr44gsl2rTRUmdlQojDUejxELrmLT8/hv/WVLUp3RIUqammdzo/P5ZpDZCniYvj8PHH3vjll8x/FQsXFvDtt+mQOOlYy/R04NtvFVi2TIG0NPHnHRDAMH68CsOGudaSGIQQ90ahx0PYc7g6zxs3p72JannE2p0tW2SYNs0byclZV4Fs356OwEA7HVgOCAKwa5cMs2Z56ftwcRxD//4aTJ6spn5bhBCnQ6HHQ+jW3bJHf55nzzgIAoWezDx9KtbuHDuW/a/f99+nO10/GMaAQ4dkmDdPgVu3DP12GjQQ++1UqeJcx0sIIToUejzEs2fiN3F79ufJTKFCnnlTZEyce+ezz7yRlJR9B5dJk1To3t15ZlxmDDh5Uoo5c7xw7Zoh7JQpI2D6dBU6dOCp3w4hxKlR6PEQjpqN2RxPbPZ49ozD+PHeiI0Vf+U4junnTXpT6dICvvlGifr1nWOkFmPAhQtSzJ2rwK+/Gj4yihcXMH68GpGRNN8OIcQ1UOjxAIIAvHhhv+atjLMxm+NJzVu62p3JkxV4/Vr8GZQsKSA5mUNioun2Q4ao8dlnKrt0Ns9Oaiqwa5cc69bJceOGoWanYEEB48apMXCgxmUmSSSEEIBCj0d49YoDzztPTY+nhJ7nzzkMHgzs2yeuMM9xDG3a8Dh3TqYPQDolSwpYskSJRo0cX7vz998SrF8vx9atcqNO1vnyMYwZo8bQoWqnCGWEEJJTFHo8gKNmY86MuzdvMSaOapo61RsJCeJjoaECWrTgsXq16fjtgQPV+Pxzx9buqNVi5+T16+U4e9b4Y6FSJS0GD9agVy8NhR1CiEuj0OMBdCO3AKrpsbV//+UwcaIXDh0ydHIZNEiDtDSYDTzbtqU5bJZlxoCrVyXYtk2OPXvkSEgw/NzkcoZOnXgMHqxBnTo0sSAhxD1Q6PEA9l+CwvP69DAG7Nkjw5QpXoiPF8+/TBkBU6ZI8MUXUjx5Ylomd+4kO2T+nYcPOezYIcf27XLcvWt8XCVLChg4UIN339WgcGH3+zkRQjwbhR4PoFuCwtubIV8+2+4rJQVITPSs0VsvXnD45BMvHDhgqN0ZOlSNSpUY3n/fC4BxsChQQMDNm6l2nWE5KQnYv1+ObdtkOHfO+Nfex4ehXTsevXtr0KSJFlJpJm9CCCEujkKPB9D16SlcmNm8mSJjjYa3N4NSabxDiYQhKMh9Qs++fTJ88okXXr0Sz7tUKQGzZysxc6YX1qwxTQ/TpysxcqTGLoFHEIAzZ6TYvFmOn3+WGf0sOI6hYUMtevXSoGNHnvrqEEI8AoUeD2DPOXp0Q+MBQC4HlErj5wsUYE67hlRO3LvHYc4cL+zda6jdiYpSo1EjLfr3N11YrHZtLbZvT7PLmmMPHnD46Sc5tm2T49Ej48J+6y0tevfm0aOHBiEh7hM+CSHEEhR6PICuecse/Xni4zPWJpg+76pNW1qt2Ok3JkaGmBgZ/vrLUItTsqSAL79UYcQIb6xbZ9pZ+dKlNJQubdvOymlpwMGDMmzZIseZM8a/1vnyMXTvrkFkpAbVqwvUKZkQ4rEo9HgAe9b0ZBwBZI4rdWJOTQVOnZIhJkaKI0dkePnSuNaE4xi6dePx4IEEgwf7mLx+9mwVpkzxQkICA2+D1SQYA65ckWDLFnH0VcY5dTiOoUkTLfr21aBtW54mESSEEFDocXuMGUJP0aL2Cz1eXsykaQtw/tDz/DmHI0fE2pxTp6QmfZIAcd4axoDbt6XYtcv8+gu3bqWgSBEOgJfVj/HOHQ67dsmxe7fp6KsyZQS8+64GvXtrUKKEc5c1IYTYG4UeN5eYCKjV9luCQte85eUFs4tqOlvo0a0rNX++wqRZKDMZVxZ/09Kl6YiM1FXrWK8d6fFjDnv2yLB7txx//GG8f19fcU6dvn01qFuX5tQhhJDMUOhxc7r+PADsMu9Kds1bwcGODT3p6cCNGxKsWaPItJYmN9q21WDhQpVV+yy9eMFh3z4Zdu+W4eJF419ViUQcfdW9uwadO9PoK0IIsQSFHjdn7yUosgs9jhiunpoKLFyowMmTMpNakryoX59HVJQGpUsLeOcd63QQTkwEDh+WYdcuOU6flkKrNX7T2rXFoNOxI2+XnychhLgTCj1uzt6hJ+PoLXPsXdOTkgL07euD8+ezv9QLFBD08+1kxs9PXHTz/fett+jmq1ccDh2S4cABsR+RbnFYncqVtejWjUfXrhqUKkVBhxBCcotCj5vTNW/JZMwugUO3wGZm7FnT8/o10LOnL65ft6x2J6vAI5czDB6swbhxaqs0YT1/zuHgQRkOHpTh119Na3RCQwV066ZB9+48wsJs3xeLEEI8AYUeN6ereQkOts+kgI5s3mIMOHlSikePJGAMmDDBsnHaQUEMlSppUa6cgN9+k5o0gXXvrsEnn6gQGpq3Y3/8WAw6Bw7IcPGiFIwZl1X58lp07MijY0ceVavSfDqEEGJtFHrcnK7mxR61PILguNATHw98/LE3fv7Z8s7J/v4M9etrUaGCFr6+wNatcty/b0iGTZrwmDZNhWrVclfTwhjw++/i+x46JMW1a6Y1TpUqiUGnUyceFSpQ0CGEEFui0OPmMtb02FpSEiAI9g89p09LMWaMN54+zVlVVkqKOCfPkSPGvwZVq2oxbZoKTZvmfBZljQY4d06qn7n54UMAMJ6l+Z13dDU6GpQrR310CCHEXij0uDld6LFHX5rsOjF7eTGrrj2lVgPz5imwfLnCpKlIZ+RINWrU0CIhgdP/SUzU/RtGj5UpI2DCBDW6duVz1BT4+jVw/LgYco4elZnMTySRMNSpo0Xbtjw6dOCpMzIhhDgIhR43p2tuskdNT3ahJyjIequ837vHYcQIH/z2W+adlO/dS7Z4hBVj5tcKy8zLl4YRV6dPm4648vVlaNFCi169ZKhfPw2BgdQZmRBCHI1Cj5vThR571PTYoz8PY8DWrTJMnuyNtDTz+/P3Z7h7NyVHIcaSbZ89Mx5x9WZTXrFiAtq04dG2LY/69bXw95cgKEiGhATYZO0tQgghOUOhx40xZt/QY0lNT168fi2OyNq7N/POym3a8Pjxx/Q87SejR484HDggw4EDcly6ZFqrpBtx1b49b7UJCgkhhNgGhR43lpQE/fwv9pmjR9wXxzFozfQBzkvoOX9eilGjvPH4ceadbcaNU2HqVHWu96Hz/DmHvXvFda6uXDENOm+/bRhaTiOuCCHEdVDocWMZa17s2bzl5yeOjHpTboIXz4tLSCxerMhyZNjChUoMGKDJ8fvrxMcDBw7IsWePDGfPms6hEx6uRYcO4oirsmWpIzIhhLgiCj1uLGMfm6Ag2+9PF7IyG/n05IkE48d7YdQotUVDtZOTgcGDfXD6dNaX6dq16ejYMeedZpKTgUOHZNizR44TJ0w7I1evrkXXruKCniEhFHQIIcTVUehxYxlDjz2btzJz7Jh4ud2+LcXBg2lZbvv8OYd33/XBjRtZLyGxeXMaWra0fD6d9HTg6FFx5fKjR2VQKo2PuUIFwzpXVKNDCCHuhUKPG3NU8xbLZleXLklx86YElSubH8Z95w6HyEhfPHyY9WQ5O3akoXHj7AOPWi0uT7FrlxyHD8uQmmocdEqXFte56tqVx9tv09ByQghxVxR63FjGmpf8+e03ekuwIDf88IMc8+apTB6/ckWCfv18EB+fdeDZty8NdetmHni0WuDXX6XYvVsceZWYaBx0ihYV0KULj+7dNahenTojE0KIJ6DQ48Z0ISRfPgaZHX7Sltb0AMD27XJMm6YymjwwNlaKqCgfqNWZJ5DAQIZt29JQo4ZpskpIAH75RYbYWBmOH5eZNLcFBwvo1IlH9+486tTR2mUBVkIIIc6DQo8bs+dszBn3Z0lNT0oKh9275foRV5s3yzBunE+WrylQQMC2bemoWlXcAWPA7dsSxMbKEBsrxaVLphMGBgQwtG/Po1s3DRo10kJu+XqkhBBC3Ixbh56UlBR06tQJderUwdy5c42eO3XqFJYsWYK7d+8iODgYkZGRGD58OLgM7Rz37t3D3LlzceXKFchkMrRo0QKTJ09GYGCg0T7mz5+PY8eOITU1FeHh4fj0009Rvnx5u51nZuwZetLTgfR0cX+FCjE8epR9e9H69XL076/B4sUKzJ3rleW2hQsL2LkzHcWKCfj5ZxlOnJDi6FGZ2Xl7ihYV0KoVj1ateDRtqoW3d+7OiRBCiHtx69AzZ84cPHnyxOTxq1evYtSoUWjXrh3GjRuHK1euYPHixRAEASNHjgQAJCUlYfDgwShcuDDmz5+PV69eYcGCBXj27BnWrl2rf6/x48fj999/x8SJE+Hv74/ly5dj0KBBOHjwIPLnz2+vUzXLnouNZmxKqlNHi0ePTMOIlxdDjx4abN4srjr+xx9SFCkSkO17V6yoRd26Wowf74UrV6T6CRd1OI6hRg0BrVvzaNmSR5Uq1EeHEEKIKbcNPSdPnsShQ4cQEGB6U12xYgUqVqyIBQsWAAAaN24MnucRHR2NqKgoeHt7Y8uWLUhKSsKePXsQHBwMAChSpAiGDx+Oy5cvo1atWrh27RpOnDiB6OhoNGnSBABQq1YttGjRAps3b8aoUaPsd8JmOGoJigsXzA8zHzBAg9Gj1frQY6nbt6W4fdv4PfPnZ2jSRKzNad5ci4IFaXg5IYSQrLllV87Xr1/js88+w8SJE42aogBArVbjwoULaN26tdHjbdq0QVpaGi5fvgwAOHPmDGrWrKkPPADQqFEj+Pn54dSpU/ptfH190aBBA/02wcHBqF27tn4bR9IFEXvP0WOulgcAdu2SoXZtv1y9v0zGUK8ejylTVDh8OBW3bqVg1SolevfmKfAQQgixiFvW9Hz55ZcoV64cIiMjsWrVKqPnHj16BI1GgzJlyhg9Xrp0aQDA/fv30bBhQ9y9exft27c32kYikSAkJAT3798HANy9exchISGQvTE0qlSpUti/f3+Ojlki4SCRWLdNRhdEChQAZDLL8q1UKjH621KvX2e/fXbD0N/01lsCmjXTolkzLerX18K40s7583puy5IYo3K0HipL66GytA57l6PLhJ60tDTExsZm+nzBggXRoEEDxMbG4tixY9i/f79Rp2SdpKQkAIB/xrHSAPz8xBqIlJQU/Xa6x97cTrdNcnKyyfvotklNTbXwzETBwX5mjze3lEog7b9Jj0NCFAgKylmTUmBg1iOp3hQfb/h34cLAv//m6OV6zZsDPXsCHToApUpJIIYb1x5yldOyJOZROVoPlaX1UFlah73K0WVCT3x8PCZNmpTp8xEREahUqRJmzJiBSZMmISQkxOx2wn/jqTMLGJIMk7eY24Yxpn9cEIRM3yenASY+PtWqNT1PnnAAfAEAXl5KJCRYtlSDVCpBYKAPkpLSodVaPjtxcLAUgDhMat++NERGeuP+fcuSe9myAsaO1aBDBx4FCxoeT0iwePdOKbdlSYxROVoPlaX1UFlah7XKMSjIsq4TLhN6QkJC8Ndff2W5zQcffIBy5cqhZ8+e4HnDApSMMfA8D6lUqu/jo6ut0dHVzOhqbvz9/U22AcQap6JFiwIAAgIC8OrVK5NtUlNTzXagzoogMAiC9fqmvHhhCBz58gng+ZxdTFptzl7Tpo2A779neOcdLUJDGb76Son+/X0z3b55cx6dOvFo106DDN2mwOd83VCnl9OyJOZROVoPlaX1UFlah73K0WVCjyViYmIAAFWqVDF6PC4uDnv27MEPP/yA6tWrQyqV4sGDB0bb6P6vm18nNDQUDx8+NNpGEAQ8fvxY3wk6NDQUZ86cgSAIRjVEDx8+RLly5ax7cjlkvMK67Tv6ymRAqVICfvhBgQMHZJl2Zh4/XoXhw9V2WfWdEEIIycitQs+OHTtMHhs5ciSqVKmC0aNHIzQ0FF5eXqhVqxZiY2MxdOhQfTNUTEwMAgMDUa1aNQBAgwYNsGbNGsTHx+tHcJ0+fRqpqan60VoNGzbE999/j9OnT+uHrMfHx+PSpUsYMWKEPU45U/ZYYV2jAc6fl+Lnn2U4dEiGJ0+Mg45CwdC8OY+OHXm0acMjXz6bHAYhhBBiEbcKPVWrVjV5TKFQIH/+/EbPjRw5ElFRUfjwww/Ro0cPXLt2DWvWrMGECRPg/d/0vX379sXGjRsRFRWFMWPGIDExEQsWLEDjxo0RHh4OAKhduzYiIiIwceJETJw4Efnz58eyZcsQEBCAyMhI+5x0Jl6+NISeAgWsF3rS0sT1rQ4dkuHIEZnJQp7e3kzfdNW6NY8ctvIRQgghNuNWocdS9erVw7Jly7B06VKMHj0aRYoUwaRJkzBkyBD9NsHBwfjhhx8we/ZsTJgwAX5+fmjbtq1JZ+rly5dj7ty5mD9/PgRBQI0aNbBkyRLkc3C1xqtXYhjx82N5Xobh2TMOx49LcfiwDCdPyvTLTej4+TG0bMmjfXtxskAzA9oIIYQQh+MYs2RNbGJrL14kW/X9pkzxwpo1CpQqJeDyZcuHz8tkEvj7++HIkXQcOSLBsWMy3LxpOsNywYIC2rYVg07DhrS+lTkymQRBQX5ISEiljo55QOVoPVSW1kNlaR3WKsdChSxrVvDImh5PoKvpsXS2Yl1tzvHjcpw8Cbx+bTpnQunSAtq1E4NO7dpaSM2vNkEIIYQ4JQo9bkoXejLrz6NWA1euSHHsmDTT2hwvL4b69bVo0YJHixY8ypZltJAnIYQQl0Whx03pOjLrQo9WC/z5pwSnTklx+rQM589LkZZmmmDKlBHQoYMEjRopUbeuBr6ZT7VDCCGEuBQKPW5KV9Pz009y3LvH4cYN8yHHy4uhXj0tWrYUa3PCwjgEB/shIUHrlhMFEkII8VwUetyUSmUIOBcvGn7MHMdQtaqARo20aNSIR506WmRcYsya638RQgghzoRCj5uaPFmF9evlSE/nUL68gOrVtXjnHQF16vBGyz4QQgghnoJCj5saOlSDoUM1jj4MQgghxGlYtgw2IYQQQoiLo9BDCCGEEI9AoYcQQgghHoFCDyGEEEI8AoUeQgghhHgECj2EEEII8QgUegghhBDiESj0EEIIIcQjUOghhBBCiEeg0EMIIYQQj0ChhxBCCCEegWOMMUcfBCGEEEKIrVFNDyGEEEI8AoUeQgghhHgECj2EEEII8QgUegghhBDiESj0EEIIIcQjUOghhBBCiEeg0EMIIYQQj0ChhxBCCCEegUIPIYQQQjwChR4Ps27dOrRs2RJVq1ZFly5dcPTo0Ry9/ocffkDz5s3NPrd371506NAB1apVQ5s2bbB9+3ZrHLLTyk1Z8jyPRYsWoUmTJqhWrRr69OmDK1euGG1z9+5dVKhQweRP27ZtbXUqdnXq1Cl0794d77zzDpo1a4aVK1ciu4nhLbm2fv/9d/Tv3x/h4eFo0KAB5s2bB7VabavTcAq2KssGDRqYvQZfvHhhq1NxqNyUo86NGzdQuXJlPH782OQ5uiatV5ZWuyYZ8RirVq1ilSpVYsuXL2cnTpxgY8eOZZUqVWIXL1606PV79+5lb7/9NmvWrJnJcz///DOrUKECmzVrFjt16hSbPn06CwsLY3v37rX2aTiF3Jbl559/zt555x32448/smPHjrH+/fuz6tWrs3v37um3OXDgAAsLC2Pnz59n165d0/+5deuWrU/L5q5cucIqV67MJkyYwE6ePMkWLVrEKlSowL799ttMX2PJtfXgwQNWo0YNNnToUHbixAm2Zs0aVqVKFfbpp5/a47QcwlZl+eLFCxYWFsbWrVtndP1du3aNqdVqe5yaXeWmHHVu3brF6tevz8LCwtijR4+MnqNr0nplac1rkkKPh0hPT2e1atVi8+bN0z8mCALr3bs3GzRoUJavffnyJfvss89YWFgYi4iIMBt6WrduzT744AOjxz788EPWsmVLqxy/M8ltWT558oS9/fbbbOPGjfrHVCoVa9q0KZs6dar+sQULFpgtY3cwZMgQ1qNHD6PH5s+fz6pXr87S09PNvsaSa2vatGmsUaNGTKVS6R/btGkTq1ixInv8+LEVz8B52KosT548ycLCwty23N6Um3JUqVRszZo1rFq1aiwiIsLsjZquSZE1ytKa1yQ1b3mI69evIykpCa1bt9Y/xnEcWrVqhYsXL0KpVGb62u+//x5nz57FsmXL0KxZM5PnHz9+jPv37xu9NwC0adMGDx8+xD///GO9E3ECuS3Lc+fOged5o9cpFAo0bdoUJ0+e1D9269YtVKpUyXYn4CBqtRoXLlwwe52kpaXh8uXLJq+x9No6c+YMmjZtCoVCod+mbdu2EAQBZ86cscHZOJYty/L27dsIDAxEiRIlbHcCTiI35QiITTjLly/HiBEjMGHCBLPb0DUpskZZWvOapNDjIe7evQsAKFOmjNHjpUuXhlarxcOHDzN9bWRkJGJiYkwuZkveGwDu37+fu4N2Urkty7t378LX1xeFChUyed2LFy+QmpoKQPwFT05ORp8+fVC1alU0aNAAX3/9NTQajfVPxo4ePXoEjUaTo+vEkmtLqVQiLi4OoaGhRtsEBwfD39/f7a4/wHZlCYihOzAwEGPGjEHNmjURHh6Ojz76CP/++69Vz8EZ5KYcAaBq1ao4fvw4Ro4cCalUavI8XZMGeS1LwLrXpCzHryBOJy0tDbGxsZk+X7BgQSQnJwMA/P39jZ7z8/MDAKSkpGT6+nLlymW5/7y8t7OxZVkmJycjICDA5PGMr0tPT8fLly/BcRwmTJiA4sWL49y5c1i1ahWePn2KhQsX5uq8nEFSUhKAnJWbJWWd2fvqtnOl689StipLQLzBPH/+HL1798bgwYNx9+5dLF26FAMGDMDu3bvh6+tr3ZNxoNyUIwAUKVIkV++re2+6Jg2yK0vAutckhR43EB8fj0mTJmX6fEREBOrXr2/2OfZfr3qJJPeVfoIgABCbeKz93vZmy7IUBMGkjN58nb+/P9atW4fQ0FAUK1ZMv0+FQoElS5Zg1KhR2YZQZ5XZdaJjrtwsubZYFiNDGGOZ7s+V2aosAWDOnDnw8vLC22+/DQCoVasWypcvj759+2LPnj3o27evdU7CCeSmHC1B16SpvNwHrHlNUuhxAyEhIfjrr7+y3GbTpk0AgNTUVOTLl0//eFpaGgCYrYGwVGBgIADTJK97b3PfdpyVLcsyICDA7LedjK/z9vY2G6qaNm2KJUuW4Pbt2y4bejK7TnTNeuauE0uuLV15697nze3ycm07K1uVJQCEh4ebvLZmzZoICAjA7du383jkziU35WgJuiYN8lqWgHWvSdf5Ck7yRNe2/ODBA6PHHzx4AIVCgZIlS9rkvQGgfPnyuX5vZ5TbsixbtixSUlIQHx9v8roSJUrA29sb9+7dw5YtW0w+OHSdo4OCgqx1GnZXqlQpSKXSHF0nllxbvr6+KFKkiMk28fHxSElJcbvrD7BdWSYlJWHHjh24c+eO0TaMMWg0Gpe+/szJTTlagq5Jg7yWpbWvSQo9HiI8PBy+vr6IiYnRP8YYQ2xsrL75JLdKly6NkiVLGr03AMTExKBMmTJuNwokt2Wpq8E5fPiw/jG1Wo0TJ06gYcOGAIDnz5/j888/N9oGAH7++Wf4+fmhcuXK1j4du/Hy8kKtWrUQGxtrVP0fExODwMBAVKtWzeQ1ll5bDRo0wIkTJ4wmfjt8+DCkUinq1q1rozNyHFuVpVwuxxdffIHo6GijbY4dOwalUok6derY5oQcJDflaCm6JkV5LUtrX5PUvOUhfHx8MGTIEKxYsQJyuRzh4eHYuXMnbt68iQ0bNui3e/bsGZ49e4a33347R0Fo1KhRmDJlCvLnz4/mzZvj+PHjOHToEBYvXmyL03Go3JZliRIl0K1bN8yZMwcqlQplypTBunXrkJSUhKFDhwIQ++9ERERg7ty5SE9PR9myZXHixAn8+OOPmDRpklFzmisaOXIkoqKi8OGHH6JHjx64du0a1qxZgwkTJsDb2xspKSm4c+cOSpUqheDgYACWXVvDhg3DwYMHMWzYMERFReH+/ftYtGgR+vTpo+8b5W5sUZY+Pj4YNmwYvv32WxQoUACNGzfGX3/9hWXLlqFp06aZ9mdzZbkpR0vQNWmdsrT6NZnnmX6IyxAEga1YsYI1adKEVa1alXXr1o2dPHnSaJulS5eanRxK55NPPsl04rwtW7awVq1asSpVqrB27dqx3bt3W/sUnEZuy1KlUrFZs2axevXqsXfeeYf17duXXb9+3eh1SUlJbNasWaxZs2asSpUqrH379mzr1q12OS97OHLkCOvYsSOrXLkya968OVuzZo3+ufPnz7OwsDC2c+dOo9dYcm1dunSJ9erVi1WpUoU1atSIff3110yj0dj6dBzKFmWp1WrZxo0bWYcOHVjVqlVZo0aN2Lx58zKdXM4d5KYcdXbu3JnpZyZdk9YpS2tekxxjFi6KQQghhBDiwqhPDyGEEEI8AoUeQgghhHgECj2EEEII8QgUegghhBDiESj0EEIIIcQjUOghhBBCiEeg0EMIIYQQj0ChhxBCCCEegUIPIYRkYfLkyY4+BEKIlVDoIYSQTMTFxaFAgQKOPgxCiJVQ6CGEkExcvXoVNWvWdPRhEEKshEIPIYRk4tq1a6hRo4ajD4MQYiUUegghJBOvX79G/vz5HX0YhBArodBDCCFmpKSkICAgwNGHQQixIo4xxhx9EIQQ4gzi4+OxadMm/O9//0NCQgJkMhm8vLwQERGBgQMHQiaTOfoQCSF5QDU9hBACYN++fXj33XdRqVIlfPPNN6hSpQq++uorfPfdd3j+/DkGDx4MtVrt6MMkhOQBhR5CiMf78ccfMXv2bKxbtw4tW7YEx3GIi4tDiRIlwHEcJkyYgDt37mD79u2OPlRCSB5Q6CGEeLTr169jzpw5+Pzzz1G8eHEAYjNXUFCQfhu5XI7SpUvj9OnTjjpMQogVUOghhHi07777DkWLFkXr1q31j124cAF16tQx2i4+Ph5yudzeh0cIsSIKPYQQj3blyhVERERAIjF8HJ4/fx5169bV/z8uLg4PHz5ErVq1HHGIhBArodBDCPF4hQoVMvp/QkICgoOD9f9ft24dihUrhh49emD9+vVo2LAhGjZsiOPHjwOAvuPz3Llz7XrchJCcofGXhBCP1rBhQ9y5c0f//ydPnuj79gDAyZMnsXfvXqxatQr+/v4YPHgwQkJCMG/ePDRr1gwA8O6778LPzw/Dhg2z+/ETQixHNT2EEI82ceJE3LhxA0ePHgUAnDt3DnXr1oVGo8H69evx9ddfY/369ahevbr+Nc2aNYNKpcKvv/4KAIiJiUGfPn0ccfiEkBygyQkJIR7v33//xdKlS5GUlIS7d++iYsWK0Gq1qFevHrp16waFQmHymqVLl+LOnTv45ptvsHLlSowYMcIBR04IyQkKPYQQksHHH3+MRYsWZbvd06dP0aZNG8ycORNly5ZFtWrV7HB0hJC8oOYtQgj5zz///IPSpUtbtG2xYsVQv359bN26lQIPIS6COjITQsh/fv31V9SvX9/i7Xv06IFXr17Z8IgIIdZENT2EEPKfW7duGXVYzs6TJ0/QsWNH2x0QIcSqKPQQQsh/vvrqq2xnXZ46dSq+/fZbpKengzEGf39/Ox0dISSvqCMzIYTkwJ49e3Dz5k0UKlQI/fv3h6+vr6MPiRBiIQo9hBBCCPEI1LxFCCGEEI9AoYcQQgghHoFCDyGEEEI8AoUeQgghhHgECj2EEEII8QgUegghhBDiESj0EEIIIcQjUOghhBBCiEeg0EMIIYQQj0ChhxBCCCEegUIPIYQQQjwChR5CCCGEeAQKPYQQQgjxCP8Hg3YIEYxVsMwAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 600x370.8 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "defos, forces = secvis.force_defo_vis(ele_tag=1, sec_tag=1,\n",
    "                                      force_type=\"My\",\n",
    "                                      defo_type=\"Phiy\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  },
  "vscode": {
   "interpreter": {
    "hash": "f7a9b8f8690f520d36b7cd58879dbcd97545c5eb0452dadad5bd7e9f8ca42860"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}