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+    "__nbid__ = '0024'\n",
+    "__author__ = 'Stephanie Juneau <stephanie.juneau@noirlab.edu>, David Herrera <david.herrera@noirlab.edu>, and the Astro Data Lab Team <datalab@noirlab.edu>'\n",
+    "__version__ = '20250721' # yyyymmdd\n",
+    "__datasets__ = ['ls_dr10', 'sdss_dr17', 'desi_dr1']\n",
+    "__keywords__ = ['extragalactic', 'galaxies', 'joint query', 'spectroscopic redshift', '3d plot']"
+   ]
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+   "source": [
+    "# DESI Legacy Surveys and SDSS/BOSS Large Scale Structure\n",
+    "## Augmented with DESI DR1 spectra\n",
+    "by Stéphanie Juneau, David Herrera, and the Astro Data Lab Team"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true,
+    "tags": []
+   },
+   "source": [
+    "### Table of contents\n",
+    "* [Goals & Summary](#goals)\n",
+    "* [Disclaimer & attribution](#attribution)\n",
+    "* [Imports & setup](#import)\n",
+    "* [Joint Query of LS and SDSS catalogs](#query)\n",
+    "* [Plot Results](#plots)\n",
+    "* [Exercise](#exercise)\n",
+    "* [Large scale structure in 3D](3d_plot)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a class=\"anchor\" id=\"goals\"></a>\n",
+    "# Goals\n",
+    "* Joint query between photometric (LS) and spectroscopic (SDSS) catalogs\n",
+    "* Query to DESI catalog for increased spectroscopic sampling\n",
+    "* Plot on-sky position of extragalactic objects, color-coded by redshift\n",
+    "* Find and retrieve DESI spectra of galaxies in interesting structures\n",
+    "* Plot positions of galaxies in 3D (real space), and explore large scale structure interactively\n",
+    "\n",
+    "# Summary\n",
+    "\n",
+    "### SJ: Not yet updated the summary\n",
+    "In this Notebook, we explore large-scale structures of galaxies by combining spectroscopic redshifts from SDSS/BOSS with photometry from the DESI pre-imaging Legacy Survey (LS). The advantage of spectroscopic redshifts is that they are far more accurate than photometric redshifts to probe distances to galaxies (though still need to be corrected for possible distortion effects, which we ignore here). The advantage of the LS photometry is that it reaches deeper than SDSS by about 1 magnitude, which yields better image quality to measure magnitudes, colors, and galaxy shapes. While there are several possible extensions to the example work included below, we will show that a simple figure of galaxy spatial locations color-coded by galaxy morphological type reveals the known morphology-density relation.\n",
+    "\n",
+    "We wanted to extend indeed a little further and be able to visualize and even interact with a representation of these galaxies in the actual space. For that, we developed a 3D plot based on converting RA, DEC and z, into Cartesian coordinates as shown at the end of this notebook.\n",
+    "\n",
+    "On a technical point of view, this short notebook illustrates an example joint query between the LS DR10 photometry Tractor table, and the SDSS/BOSS DR17 specObj spectroscopy table. It uses a pre-crossmatched table based on the closest match within a 1.5 arcsec search radius.\n",
+    "\n",
+    "The columns from the LS table used (Tractor) can be seen here: https://datalab.noirlab.edu/query.php?name=ls_dr10.tractor\n",
+    "\n",
+    "The columns from the pre-crossmatched table can be seen here: https://datalab.noirlab.edu/query.php?name=ls_dr10.x1p5__tractor__sdss_dr17__specobj\n",
+    "\n",
+    "The columns from the SDSS DR17 used for the 3D plot can be found here https://datalab.noirlab.edu/query.php?name=sdss_dr17.specobj\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a class=\"anchor\" id=\"attribution\"></a>\n",
+    "# Disclaimer & attribution\n",
+    "\n",
+    "Disclaimers\n",
+    "-----------\n",
+    "Note that using the Astro Data Lab constitutes your agreement with our minimal [Disclaimers](https://datalab.noirlab.edu/disclaimers.php).\n",
+    "\n",
+    "Acknowledgments\n",
+    "---------------\n",
+    "If you use **Astro Data Lab** in your published research, please include the text in your paper's Acknowledgments section:\n",
+    "\n",
+    "_This research uses services or data provided by the Astro Data Lab, which is part of the Community Science and Data Center (CSDC) Program of NSF NOIRLab. NOIRLab is operated by the Association of Universities for Research in Astronomy (AURA), Inc. under a cooperative agreement with the U.S. National Science Foundation._\n",
+    "\n",
+    "If you use **SPARCL jointly with the Astro Data Lab platform** (via JupyterLab, command-line, or web interface) in your published research, please include this text below in your paper's Acknowledgments section:\n",
+    "\n",
+    "_This research uses services or data provided by the SPectra Analysis and Retrievable Catalog Lab (SPARCL) and the Astro Data Lab, which are both part of the Community Science and Data Center (CSDC) Program of NSF NOIRLab. NOIRLab is operated by the Association of Universities for Research in Astronomy (AURA), Inc. under a cooperative agreement with the U.S. National Science Foundation._\n",
+    "\n",
+    "In either case **please cite the following papers**:\n",
+    "\n",
+    "* Data Lab concept paper: Fitzpatrick et al., \"The NOAO Data Laboratory: a conceptual overview\", SPIE, 9149, 2014, https://doi.org/10.1117/12.2057445\n",
+    "\n",
+    "* Astro Data Lab overview: Nikutta et al., \"Data Lab - A Community Science Platform\", Astronomy and Computing, 33, 2020, https://doi.org/10.1016/j.ascom.2020.100411\n",
+    "\n",
+    "If you are referring to the Data Lab JupyterLab / Jupyter Notebooks, cite:\n",
+    "\n",
+    "* Juneau et al., \"Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms\", CiSE, 23, 15, 2021, https://doi.org/10.1109/MCSE.2021.3057097\n",
+    "\n",
+    "If publishing in a AAS journal, also add the keyword: `\\facility{Astro Data Lab}`\n",
+    "\n",
+    "And if you are using SPARCL, please also add `\\software{SPARCL}` and cite:\n",
+    "\n",
+    "* Juneau et al., \"SPARCL: SPectra Analysis and Retrievable Catalog Lab\", Conference Proceedings for ADASS XXXIII, 2024\n",
+    "https://doi.org/10.48550/arXiv.2401.05576\n",
+    "\n",
+    "The NOIRLab Library maintains [lists of proper acknowledgments](https://noirlab.edu/science/about/scientific-acknowledgments) to use when publishing papers using the Lab's facilities, data, or services."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a class=\"anchor\" id=\"import\"></a>\n",
+    "# Imports and setup"
+   ]
+  },
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r,s,l=o(t,e),u=l.on,c=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(u.length||c.length){for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}}},87192:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308);t.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var u=a(\"borderwidth\"),c=a(\"showarrow\");if(a(\"text\",c?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),c){var 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F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(u.stroke,e.bordercolor).call(u.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 q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(Y).on(\"edit\",(function(r){e.text=r,this.call(Y),S(\"text\",r),y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(Y)}else n.selectAll(\"#\"+L).remove();function W(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return 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K,J,$,Q,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:y,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ut=e[et+\"anchor\"],ct=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(Y=!0):Y=!0),K=it._offset+it.r2p(e[et]),Q=.5}else{var dt=\"domain\"===ht;\"x\"===et?($=e[et],K=dt?it._offset+it._length*$:K=T.l+T.w*$):($=1-e[et],K=dt?it._offset+it._length*$:K=T.t+T.h*$),Q=e.showarrow?.5:$}if(e.showarrow){ft.head=K;var vt=e[\"a\"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(vt=1-vt),ft.tail=it._offset+it._length*vt):\"paper\"===gt?\"y\"===et?(vt=1-vt,ft.tail=T.t+T.h*vt):ft.tail=T.l+T.w*vt:ft.tail=it._offset+it.r2p(vt),J=tt}else ft.tail=K+vt,J=tt+vt;ft.text=ft.tail+tt;var yt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,yt-1)),\"pixel\"===nt){var mt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-yt;mt>0?(ft.tail+=mt,ft.text+=mt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ct,ft.head+=ct}else J=tt=lt*H(Q,ut),ft.text=K+tt;ft.text+=ct,tt+=ct,J+=ct,e[\"_\"+et+\"padplus\"]=lt/2+J,e[\"_\"+et+\"padminus\"]=lt/2-J,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(Y)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(z-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select(\"rect\").call(c.setRect,N,N,A,z),j.call(c.setRect,F/2,F/2,B-F,q-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-q/2)),I.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){O.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,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,q=e.arrowcolor,H=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(q)}).classed(\"annotation-arrow-g\",!0),W=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(q));if(g(W,H,e),k.annotationPosition&&W.node().parentNode&&!a){var Y=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var K,J,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-X),transform:s(Y,X)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);K=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(K,J),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var 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x,b,_,w=\"paper\"===h(\"yref\"),T=\"paper\"===h(\"xref\"),k=\"left\";g?(_=\"middle\",k=T?\"left\":\"right\",x=T?1.02:1,b=.5):(_=w?\"bottom\":\"top\",k=\"center\",x=.5,b=w?1.02:1),n.coerce(f,c,{x:{valType:\"number\",min:T?-2:0,max:T?3:1,dflt:x}},\"x\"),n.coerce(f,c,{y:{valType:\"number\",min:w?-2:0,max:w?3:1,dflt:b}},\"y\"),h(\"xanchor\",k),h(\"xpad\"),h(\"yanchor\",_),h(\"ypad\"),n.noneOrAll(f,c,[\"x\",\"y\"]),h(\"outlinecolor\"),h(\"outlinewidth\"),h(\"bordercolor\"),h(\"borderwidth\"),h(\"bgcolor\");var A=n.coerce(f,c,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:g?[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]:[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]}},\"ticklabelposition\");h(\"ticklabeloverflow\",-1!==A.indexOf(\"inside\")?\"hide past domain\":\"hide past div\"),a(f,c,h,\"linear\");var 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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 u(){\"function\"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var c=0;c<o.length;c++){var h=o[c];if((n=h[0].trace)._module){var p=n._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),v=d?p:[p],g=0;g<v.length;g++){var m=(i=v[g]).container;(r=m?n[m]:n)&&r.showscale&&((e=l(r.colorbar))._id=\"cb\"+n.uid+(d&&m?\"-\"+m:\"\"),e._traceIndex=n.index,e._propPrefix=(m?m+\".\":\"\")+\"colorbar.\",e._meta=n._meta,u(),s.push(e))}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id=\"cb\"+x,e._propPrefix=x+\".colorbar.\",e._meta=a._meta,i={min:\"cmin\",max:\"cmax\"},\"heatmap\"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),u(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append(\"g\").attr(\"class\",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);u.ensureSingle(r,\"rect\",A.cbbg),u.ensureSingle(r,\"g\",A.cbfills),u.ensureSingle(r,\"g\",A.cblines),u.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),u.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),u.ensureSingle(r,\"rect\",A.cboutline);var y=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,y=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,O=e.ypad,I=e.x,D=o?e.y:1-e.y,z=\"paper\"===e.yref,R=\"paper\"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,q=e._zrange||n.extent((\"function\"==typeof N?N:j.color).domain()),H=\"function\"==typeof j.color?j.color:function(){return j.color},G=\"function\"==typeof N?N:function(){return N},W=e._levels,Y=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&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,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>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]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,q),X=Y.fill,Z=Y.line,K=Math.round(y*(\"fraction\"===_?o?B.w:B.h:1)),J=K/(o?B.w:B.h),$=Math.round(l*(\"fraction\"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=z?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:D*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*J:D-it*J,ot=o?D-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=J,e._uFrac=at,e._vFrac=ot;var lt=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,labelalias:e.labelalias,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,noAutotickangles:\"y\"===o,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function c(t,e){return u.coerce(a,s,b,t,e)}return m(a,s,c,l,n),x(a,s,c,l),s}(r,e,q);lt.position=J+(o?I+P/B.w:D+O/B.h);var ut=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+P/B.w,lt.titley=ot+(\"top\"===U.side?Q-O/B.h:O/B.h)),o||ut||(lt.title.side=V,lt.titley=D+O/B.h,lt.titlex=ot+P/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=W.start;var ct=W.size,ft=u.constrain($/50,4,15)+1,ht=(q[1]-q[0])/((e.nticks||ft)*ct);if(ht>1){var pt=Math.pow(10,Math.floor(Math.log(ht)/Math.LN10));ct*=pt*u.roundUp(ht/pt,[2,5,10]),(Math.abs(W.start)/W.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+O/B.h,ot+Q-O/B.h]:[ot+P/B.w,ot+Q-P/B.w],lt.setScale(),t.attr(\"transform\",c(Math.round(B.l),Math.round(B.t)));var dt,vt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",c(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,mt=t.select(\".\"+A.cbaxis),xt=0,bt=0;function _t(n,i){var a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&(\"top\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=O+B.t+et*D+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr(\"transform\",c(h[0],h[1])),lt.setScale()}}else bt&&(\"right\"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr(\"transform\",c(h[0],h[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr(\"transform\",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(X);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var x=q.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?q[0]:(X[a]+X[a-1])/2,a===X.length-1?q[1]:(X[a]+X[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",rt).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(K,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 c=G(t).replace(\"e-\",\"\");l.attr(\"fill\",i(c).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(j.color&&j.width?Z:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+K).call(p.lineGroupStyle,j.width,H(t),j.dash)})),mt.selectAll(\"g.\"+lt._id+\"tick,path\").remove();var _=rt+K+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:\"inside\"===lt.ticks?s.clipEnds(lt,T):T,layer:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if(\"right\"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,\"bottom\"===V&&(i=B.t+et*a+10+(-1===gt.indexOf(\"inside\")?lt.tickfont.size:0)+(\"intside\"!==lt.ticks&&e.ticklen||0)),\"top\"===V){var l=U.text.split(\"<br>\").length;i=B.t+et*a+10-K-w*yt*l}_t((o?\"h\":\"v\")+lt._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+lt._id+\"tick\"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=K+M/2;-1===gt.indexOf(\"inside\")&&(n=p.bBox(mt.node()),s+=o?n.width:n.height),dt=vt.select(\"text\");var u=0,f=o&&\"top\"===V,v=!o&&\"right\"===V,g=0;if(dt.node()&&!dt.classed(A.jsPlaceholder)){var m,x=vt.select(\".h\"+lt._id+\"title-math-group\").node();x&&(o&&ut||!o&&!ut)?(u=(n=p.bBox(x)).width,m=n.height):(u=(n=p.bBox(vt.node())).right-B.l-(o?rt:st),m=n.bottom-B.t-(o?st:rt),o||\"top\"!==V||(s+=n.height,g=n.height)),v&&(dt.attr(\"transform\",c(u/2+yt/2,0)),u*=2),s=Math.max(s,o?u:m)}var b=2*(o?P:O)+s+S+M/2,w=0;!o&&U.text&&\"bottom\"===C&&D<=0&&(b+=w=b/2,g+=w),F._hColorbarMoveTitle=w,F._hColorbarMoveCBTitle=g;var N=S+M,j=(o?rt:st)-N/2-(o?P:0),q=(o?st:rt)-(o?$:O+g-w);t.select(\".\"+A.cbbg).attr(\"x\",j).attr(\"y\",q).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max($+N,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var H=v?Math.max(u-10,0):0;t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?rt:st+P)+H).attr(\"y\",(o?st+O-$:rt)+(f?xt:0)).attr(o?\"width\":\"height\",Math.max(K,2)).attr(o?\"height\":\"width\",Math.max($-(o?2*O+xt:2*P+H),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M});var G=o?nt*b:0,W=o?0:(1-it)*b-g;if(G=R?B.l-G:-G,W=z?B.t-W:-W,t.attr(\"transform\",c(G,W)),!o&&(S||i(E).getAlpha()&&!i.equals(F.paper_bgcolor,E))){var Y=mt.selectAll(\"text\"),X=Y[0].length,Z=t.select(\".\"+A.cbbg).node(),J=p.bBox(Z),Q=p.getTranslate(t);Y.each((function(t,e){var r=X-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=J.right+Q.x+st-S-2+I-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=J.left+Q.x+st+S+2-s)<0&&(n=0)}n&&(X<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var tt={},et=T[L],at=k[L],ot=T[C],ct=k[C],ft=b-K;o?(\"pixels\"===h?(tt.y=D,tt.t=$*ot,tt.b=$*ct):(tt.t=tt.b=0,tt.yt=D+l*ot,tt.yb=D-l*ct),\"pixels\"===_?(tt.x=I,tt.l=b*et,tt.r=b*at):(tt.l=ft*et,tt.r=ft*at,tt.xl=I-y*et,tt.xr=I+y*at)):(\"pixels\"===h?(tt.x=I,tt.l=$*et,tt.r=$*at):(tt.l=tt.r=0,tt.xl=I+l*et,tt.xr=I-l*at),\"pixels\"===_?(tt.y=1-D,tt.t=b*ot,tt.b=b*ct):(tt.t=ft*ot,tt.b=ft*ct,tt.yt=D-y*ot,tt.yb=D+y*ct));var ht=e.y<.5?\"b\":\"t\",pt=e.x<.5?\"l\":\"r\";r._fullLayout._reservedMargin[e._id]={};var bt={r:F.width-j-G,l:j+tt.r,b:F.height-q-W,t:q+tt.b};R&&z?a.autoMargin(r,e._id,tt):R?r._fullLayout._reservedMargin[e._id][ht]=bt[ht]:z||o?r._fullLayout._reservedMargin[e._id][pt]=bt[pt]:r._fullLayout._reservedMargin[e._id][ht]=bt[ht]}],r)}(r,e,t);y&&y.then&&(t._promises||[]).push(y),t._context.edits.colorbarPosition&&function(t,e,r){var 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c=i.traceIs(u,\"2dMap\")?a:n.fillArray;c(u.hoverinfo,l,\"hi\",o(u)),u.hovertemplate&&c(u.hovertemplate,l,\"ht\"),u.hoverlabel&&(c(u.hoverlabel.bgcolor,l,\"hbg\"),c(u.hoverlabel.bordercolor,l,\"hbc\"),c(u.hoverlabel.font.size,l,\"hts\"),c(u.hoverlabel.font.color,l,\"htc\"),c(u.hoverlabel.font.family,l,\"htf\"),c(u.hoverlabel.namelength,l,\"hnl\"),c(u.hoverlabel.align,l,\"hta\"))}}}},62376:function(t,e,r){\"use strict\";var n=r(24040),i=r(83292).hover;t.exports=function(t,e,r){var a=n.getComponentMethod(\"annotations\",\"onClick\")(t,t._hoverdata);function o(){t.emit(\"plotly_click\",{points:t._hoverdata,event:e})}void 0!==r&&i(t,e,r,!0),t._hoverdata&&e&&e.target&&(a&&a.then?a.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},92456:function(t){\"use strict\";t.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:\"Arial, sans-serif\",HOVERMINTIME:50,HOVERID:\"-hover\"}},95448:function(t,e,r){\"use strict\";var n=r(3400),i=r(55756),a=r(16132);t.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),a(t,e,(function(r,a){return n.coerce(t,e,i,r,a)}),s)}},10624:function(t,e,r){\"use strict\";var n=r(3400);e.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},e.isTraceInSubplots=function(t,r){if(\"splom\"===t.type){for(var n=t.xaxes||[],i=t.yaxes||[],a=0;a<n.length;a++)for(var o=0;o<i.length;o++)if(-1!==r.indexOf(n[a]+i[o]))return!0;return!1}return-1!==r.indexOf(e.getSubplot(t))},e.flat=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=e;return r},e.p2c=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=t[n].p2c(e);return r},e.getDistanceFunction=function(t,r,n,i){return\"closest\"===t?i||e.quadrature(r,n):\"x\"===t.charAt(0)?r:n},e.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){var 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t.distance-e.distance})),nt=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)}(nt,I)};mt();var xt=I.charAt(0),bt=(\"x\"===xt||\"y\"===xt)&&nt[0]&&L[nt[0].trace.type];if(m&&0!==q&&0!==nt.length){var _t=pt(nt.filter((function(t){return t.ya.showspikes})),q,bt);at.hLinePoint=dt(_t);var wt=pt(nt.filter((function(t){return t.xa.showspikes})),q,bt);at.vLinePoint=dt(wt)}if(0===nt.length){var Tt=d.unhoverRaw(t,e);return!m||null===at.hLinePoint&&null===at.vLinePoint||B(gt)&&F(t,at,vt),Tt}if(m&&B(gt)&&F(t,at,vt),y.isXYhover($)&&0!==nt[0].length&&\"splom\"!==nt[0].trace.type){var kt=nt[0],At=(nt=E[kt.trace.type]?nt.filter((function(t){return t.trace.index===kt.trace.index})):[kt]).length;ht(j(\"x\",kt,c),j(\"y\",kt,c));var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var 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n=0;for(s=0;s<t.length;s++)(u=t[s]).pos+u.dp+u.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos>e.pmax-1&&(u.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((u=t[s]).pos<e.pmin+1)for(u.del=!0,n--,o=2*u.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos+u.dp+u.size>e.pmax&&(u.del=!0,n--)}}}for(t.each((function(t){var n=t[f],i=t[h],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var u,c,p=D(t,e),v=t.anchor,A=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?k(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?k(t.by):w(t.bx));else if(a)c=(u=t.crossPos+k(M+p.y)-k(t.by/2-M))+k(t.by);else{var S=w(A*M+p.x),E=S+w(A*t.bx);u=t.crossPos+Math.min(S,E),c=t.crossPos+Math.max(S,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},7402:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(65760),supplyLayoutDefaults:r(25024),includeBasePlot:r(36632)(\"images\"),draw:r(60963),convertCoords:r(63556)}},3800:function(t,e,r){\"use strict\";var n=r(25376),i=r(22548);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},indentation:{valType:\"number\",min:-15,dflt:0,editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top left\",\"top center\",\"top right\"],editType:\"legend\"},editType:\"legend\"},editType:\"legend\"}},65196:function(t){\"use strict\";t.exports={scrollBarWidth:6,scrollBarMinHeight:20,scrollBarColor:\"#808BA4\",scrollBarMargin:4,scrollBarEnterAttrs:{rx:20,ry:3,width:0,height:0},titlePad:2,itemGap:5}},77864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(31780),o=r(45464),s=r(3800),l=r(64859),u=r(42451);function c(t,e,r,c){var f=e[t]||{},h=a.newContainer(r,t);function p(t,e){return i.coerce(f,h,s,t,e)}var d=i.coerceFont(p,\"font\",r.font);if(p(\"bgcolor\",r.paper_bgcolor),p(\"bordercolor\"),p(\"visible\")){for(var v,g=function(t,e){var r=v._input,n=v;return i.coerce(r,n,o,t,e)},y=r.font||{},m=i.coerceFont(p,\"grouptitlefont\",i.extendFlat({},y,{size:Math.round(1.1*y.size)})),x=0,b=!1,_=\"normal\",w=(r.shapes||[]).filter((function(t){return t.showlegend})),T=c.concat(w).filter((function(e){return t===(e.legend||\"legend\")})),k=0;k<T.length;k++)if((v=T[k]).visible){var A=v._isShape;(v.showlegend||v._dfltShowLegend&&!(v._module&&v._module.attributes&&v._module.attributes.showlegend&&!1===v._module.attributes.showlegend.dflt))&&(x++,v.showlegend&&(b=!0,(!A&&n.traceIs(v,\"pie-like\")||!0===v._input.showlegend)&&x++),i.coerceFont(g,\"legendgrouptitle.font\",m)),(!A&&n.traceIs(v,\"bar\")&&\"stack\"===r.barmode||-1!==[\"tonextx\",\"tonexty\"].indexOf(v.fill))&&(_=u.isGrouped({traceorder:_})?\"grouped+reversed\":\"reversed\"),void 0!==v.legendgroup&&\"\"!==v.legendgroup&&(_=u.isReversed({traceorder:_})?\"reversed+grouped\":\"grouped\")}var M=i.coerce(e,r,l,\"showlegend\",b&&x>(\"legend\"===t?1:0));if(!1===M&&(r[t]=void 0),(!1!==M||f.uirevision)&&(p(\"uirevision\",r.uirevision),!1!==M)){p(\"borderwidth\");var S,E,L,C=\"h\"===p(\"orientation\"),P=\"paper\"===p(\"yref\"),O=\"paper\"===p(\"xref\"),I=\"left\";if(C?(S=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(e.xaxis)?P?(E=1.1,L=\"bottom\"):(E=1,L=\"top\"):P?(E=-.1,L=\"top\"):(E=0,L=\"bottom\")):(E=1,L=\"auto\",O?S=1.02:(S=1,I=\"right\")),i.coerce(f,h,{x:{valType:\"number\",editType:\"legend\",min:O?-2:0,max:O?3:1,dflt:S}},\"x\"),i.coerce(f,h,{y:{valType:\"number\",editType:\"legend\",min:P?-2:0,max:P?3:1,dflt:E}},\"y\"),p(\"traceorder\",_),u.isGrouped(r[t])&&p(\"tracegroupgap\"),p(\"entrywidth\"),p(\"entrywidthmode\"),p(\"indentation\"),p(\"itemsizing\"),p(\"itemwidth\"),p(\"itemclick\"),p(\"itemdoubleclick\"),p(\"groupclick\"),p(\"xanchor\",I),p(\"yanchor\",L),p(\"valign\"),i.noneOrAll(f,h,[\"x\",\"y\"]),p(\"title.text\")){p(\"title.side\",C?\"left\":\"top\");var D=i.extendFlat({},d,{size:i.bigFont(d.size)});i.coerceFont(p,\"title.font\",D)}}}}t.exports=function(t,e,r){var n,a=r.slice(),o=e.shapes;if(o)for(n=0;n<o.length;n++){var s=o[n];if(s.showlegend){var l={_input:s._input,visible:s.visible,showlegend:s.showlegend,legend:s.legend};a.push(l)}}var u=[\"legend\"];for(n=0;n<a.length;n++)i.pushUnique(u,a[n].legend);for(e._legends=[],n=0;n<u.length;n++){var f=u[n];c(f,t,e,a),e[f]&&e[f].visible&&(e[f]._id=f),e._legends.push(f)}}},31140:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400),a=r(7316),o=r(24040),s=r(95924),l=r(86476),u=r(43616),c=r(76308),f=r(72736),h=r(33048),p=r(65196),d=r(84284),v=d.LINE_SPACING,g=d.FROM_TL,y=d.FROM_BR,m=r(35456),x=r(2012),b=r(42451),_=1,w=/^legend[0-9]*$/;function T(t,e){var r,s,h=e||{},d=t._fullLayout,w=O(h),T=h._inHover;if(T?(s=h.layer,r=\"hover\"):(s=d._infolayer,r=w),s){var S;if(r+=d._uid,t._legendMouseDownTime||(t._legendMouseDownTime=0),T){if(!h.entries)return;S=m(h.entries,h)}else{for(var I=(t.calcdata||[]).slice(),D=d.shapes,z=0;z<D.length;z++){var R=D[z];if(R.showlegend){var F={_isShape:!0,_fullInput:R,index:R._index,name:R.name||R.label.text||\"shape \"+R._index,legend:R.legend,legendgroup:R.legendgroup,legendgrouptitle:R.legendgrouptitle,legendrank:R.legendrank,legendwidth:R.legendwidth,showlegend:R.showlegend,visible:R.visible,opacity:R.opacity,mode:\"line\"===R.type?\"lines\":\"markers\",line:R.line,marker:{line:R.line,color:R.fillcolor,size:12,symbol:\"rect\"===R.type?\"square\":\"circle\"===R.type?\"circle\":\"hexagon2\"}};I.push([{trace:F}])}}S=d.showlegend&&m(I,h,d._legends.length>1)}var B=d.hiddenlabels||[];if(!(T||d.showlegend&&S.length))return s.selectAll(\".\"+w).remove(),d._topdefs.select(\"#\"+r).remove(),a.autoMargin(t,w);var N=i.ensureSingle(s,\"g\",w,(function(t){T||t.attr(\"pointer-events\",\"all\")})),j=i.ensureSingleById(d._topdefs,\"clipPath\",r,(function(t){t.append(\"rect\")})),U=i.ensureSingle(N,\"rect\",\"bg\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));U.call(c.stroke,h.bordercolor).call(c.fill,h.bgcolor).style(\"stroke-width\",h.borderwidth+\"px\");var V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=h.title;h._titleWidth=0,h._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,H.font).text(H.text),L(V,q,t,h,_)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),W=q.selectAll(\"g.groups\").data(S);W.enter().append(\"g\").attr(\"class\",\"groups\"),W.exit().remove();var Y=W.selectAll(\"g.traces\").data(i.identity);Y.enter().append(\"g\").attr(\"class\",\"traces\"),Y.exit().remove(),Y.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,h)})).call(x,t,h).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=O(i);i||(i=a[o]);var s=a._size,l=b.isVertical(i),c=b.isGrouped(i),f=\"fraction\"===i.entrywidthmode,h=i.borderwidth,d=2*h,v=p.itemGap,g=i.indentation+i.itemwidth+2*v,y=2*(h+v),m=P(i),x=i.y<0||0===i.y&&\"top\"===m,_=i.y>1||1===i.y&&\"bottom\"===m,w=i.tracegroupgap,T={};i._maxHeight=Math.max(x||_?a.height/2:s.h,30);var A=0;i._width=0,i._height=0;var M=function(t){var e=0,r=0,n=t.title.side;return n&&(-1!==n.indexOf(\"left\")&&(e=t._titleWidth),-1!==n.indexOf(\"top\")&&(r=t._titleHeight)),[e,r]}(i);if(l)r.each((function(t){var e=t[0].height;u.setTranslate(this,h+M[0],h+M[1]+i._height+e/2+v),i._height+=e,i._width=Math.max(i._width,t[0].width)})),A=g+i._width,i._width+=v+g+d,i._height+=y,c&&(e.each((function(t,e){u.setTranslate(this,0,e*i.tracegroupgap)})),i._height+=(i._lgroupsLength-1)*i.tracegroupgap);else{var S=C(i),E=i.x<0||0===i.x&&\"right\"===S,L=i.x>1||1===i.x&&\"left\"===S,I=_||x,D=a.width/2;i._maxWidth=Math.max(E?I&&\"left\"===S?s.l+s.w:D:L?I&&\"right\"===S?s.r+s.w:D:s.w,2*g);var 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t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,P=m.legend,O=m._fullInput;if(O&&O._isShape||!n.traceIs(m,\"pie-like\")){var I,D=k&&k.length,z=[];if(D)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&z.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(D)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var 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in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),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(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.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 u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.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=c([],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 c(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(c(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(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=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,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===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=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"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)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"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)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.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!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.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(D),L(P.concat(I)),L(z),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)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.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),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(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()},c.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)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.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},c.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)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.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 u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.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 n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},c.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},c.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},t.exports=function(t,e){var r=t._fullLayout,i=new u({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),i}},26680:function(t,e,r){\"use strict\";var n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},85984:function(t){\"use strict\";t.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}},22148:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(51272),s=r(26680),l=r(85984);function u(t,e,r,i){var a=i.calendar;function o(r,i){return n.coerce(t,e,s.buttons,r,i)}if(o(\"visible\")){var l=o(\"step\");\"all\"!==l&&(!a||\"gregorian\"===a||\"month\"!==l&&\"year\"!==l?o(\"stepmode\"):e.stepmode=\"backward\",o(\"count\")),o(\"label\")}}t.exports=function(t,e,r,c,f){var h=t.rangeselector||{},p=a.newContainer(e,\"rangeselector\");function d(t,e){return n.coerce(h,p,s,t,e)}if(d(\"visible\",o(h,p,{name:\"buttons\",handleItemDefaults:u,calendar:f}).length>0)){var v=function(t,e,r){for(var n=r.filter((function(r){return e[r].anchor===t._id})),i=0,a=0;a<n.length;a++){var o=e[n[a]].domain;o&&(i=Math.max(o[1],i))}return[t.domain[0],i+l.yPad]}(e,r,c);d(\"x\",v[0]),d(\"y\",v[1]),n.noneOrAll(t,e,[\"x\",\"y\"]),d(\"xanchor\"),d(\"yanchor\"),n.coerceFont(d,\"font\",r.font);var g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\"),l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){\"use 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},34200:function(t,e,r){\"use strict\";var n=r(98192).u,i=r(92880).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},81004:function(t){\"use 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m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},5840:function(t,e,r){\"use strict\";var n=r(3400).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)}}t.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)}}},22676:function(t,e,r){\"use strict\";var n=r(23640),i=r(43156);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(93956),supplyLayoutDefaults:r(74224),supplyDrawNewSelectionDefaults:r(81004),includeBasePlot:r(36632)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},43156:function(t,e,r){\"use strict\";var n=r(14756),i=r(61456),a=r(24040),o=r(43616).dashStyle,s=r(76308),l=r(93024),u=r(10624).makeEventData,c=r(72760),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(65152),y=r(85448),m=r(55496),x=r(1936).clearOutline,b=r(9856),_=b.handleEllipse,w=b.readPaths,T=r(93940).newShapes,k=r(5968),A=r(23640).activateLastSelection,M=r(3400),S=M.sorterAsc,E=r(92065),L=r(91200),C=r(79811).getFromId,P=r(73696),O=r(39172).redrawReglTraces,I=r(83280),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(5840),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){W(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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s=R(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=!e[o].subtract);return a},isRect:!1,degenerate:!1}}}function W(t,e,r){var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(p(a)&&d(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||Y(r),o||(x(e),n._lastSelectedSubplot=i.id)}function Y(t,e){var r=t.dragmode,n=t.plotinfo,i=t.gd;(function(t){return t._fullLayout._activeShapeIndex>=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=v(r);if(s||l){var u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var f=K(a._module,i,e[0],r[0]);s.push(f)}else{if(!(-1!==l.indexOf(a.xaxis)||a._xA&&a._xA.overlaying))continue;if(!(-1!==u.indexOf(a.yaxis)||a._yA&&a._yA.overlaying))continue;s.push(K(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(K(a._module,i,e[0],r[0]));return s}function K(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function J(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,\"regl\")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(P(t),O(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var 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v=\"pixel\"===h.xsizemode?h.xanchor:h.x0,g=\"pixel\"===h.xsizemode?h.xanchor:h.x1;(f=c(u=i.getFromId(t,h.xref),v,g,h.path,a.paramIsX))&&(h._extremes[u._id]=i.findExtremes(u,f,s(h)))}if(\"paper\"!==h.yref&&\"domain\"!==d){var y=\"pixel\"===h.ysizemode?h.yanchor:h.y0,m=\"pixel\"===h.ysizemode?h.yanchor:h.y1;(f=c(u=i.getFromId(t,h.yref),y,m,h.path,a.paramIsY))&&(h._extremes[u._id]=i.findExtremes(u,f,l(h)))}}}},85448:function(t){\"use strict\";t.exports={segmentRE:/[MLHVQCTSZ][^MLHVQCTSZ]*/g,paramRE:/[^\\s,]+/g,paramIsX:{M:{0:!0,drawn:0},L:{0:!0,drawn:0},H:{0:!0,drawn:0},V:{},Q:{0:!0,2:!0,drawn:2},C:{0:!0,2:!0,4:!0,drawn:4},T:{0:!0,drawn:0},S:{0:!0,2:!0,drawn:2},Z:{}},paramIsY:{M:{1:!0,drawn:1},L:{1:!0,drawn:1},H:{},V:{0:!0,drawn:0},Q:{1:!0,3:!0,drawn:3},C:{1:!0,3:!0,5:!0,drawn:5},T:{1:!0,drawn:1},S:{1:!0,3:!0,drawn:5},Z:{}},numParams:{M:2,L:2,H:1,V:1,Q:4,C:6,T:2,S:4,Z:0}}},43712:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(46056),s=r(65152);function 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n=r(67824).overrideAll,i=r(45464),a=r(25376),o=r(98192).u,s=r(92880).extendFlat,l=r(21776).ye,u=r(97728);t.exports=n({newshape:{visible:s({},i.visible,{}),showlegend:{valType:\"boolean\",dflt:!1},legend:s({},i.legend,{}),legendgroup:s({},i.legendgroup,{}),legendgrouptitle:{text:s({},i.legendgrouptitle.text,{}),font:a({})},legendrank:s({},i.legendrank,{}),legendwidth:s({},i.legendwidth,{}),line:{color:{valType:\"color\"},width:{valType:\"number\",min:0,dflt:4},dash:s({},o,{dflt:\"solid\"})},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\"},opacity:{valType:\"number\",min:0,max:1,dflt:1},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\"},drawdirection:{valType:\"enumerated\",values:[\"ortho\",\"horizontal\",\"vertical\",\"diagonal\"],dflt:\"diagonal\"},name:s({},i.name,{}),label:{text:{valType:\"string\",dflt:\"\"},texttemplate:l({newshape:!0},{keys:Object.keys(u)}),font:a({}),textposition:{valType:\"enumerated\",values:[\"top 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n=r(76308),i=r(3400);t.exports=function(t,e,r){if(r(\"newshape.visible\"),r(\"newshape.name\"),r(\"newshape.showlegend\"),r(\"newshape.legend\"),r(\"newshape.legendwidth\"),r(\"newshape.legendgroup\"),r(\"newshape.legendgrouptitle.text\"),i.coerceFont(r,\"newshape.legendgrouptitle.font\"),r(\"newshape.legendrank\"),r(\"newshape.drawdirection\"),r(\"newshape.layer\"),r(\"newshape.fillcolor\"),r(\"newshape.fillrule\"),r(\"newshape.opacity\"),r(\"newshape.line.width\")){var a=(t||{}).plot_bgcolor||\"#FFF\";r(\"newshape.line.color\",n.contrast(a)),r(\"newshape.line.dash\")}var o=\"drawline\"===t.dragmode,s=r(\"newshape.label.text\"),l=r(\"newshape.label.texttemplate\");if(s||l){r(\"newshape.label.textangle\");var u=r(\"newshape.label.textposition\",o?\"middle\":\"middle center\");r(\"newshape.label.xanchor\"),r(\"newshape.label.yanchor\",function(t,e){return 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m,x,b,_,w=[],T=f[y][0],k=T;switch(T){case\"M\":h[++p]=[],d=+f[y][1],v=+f[y][2],w.push([k,d,v]),g();break;case\"Q\":case\"S\":m=+f[y][1],b=+f[y][2],d=+f[y][3],v=+f[y][4],w.push([k,d,v,m,b]);break;case\"C\":m=+f[y][1],b=+f[y][2],x=+f[y][3],_=+f[y][4],d=+f[y][5],v=+f[y][6],w.push([k,d,v,m,b,x,_]);break;case\"T\":case\"L\":d=+f[y][1],v=+f[y][2],w.push([k,d,v]);break;case\"H\":k=\"L\",d=+f[y][1],w.push([k,d,v]);break;case\"V\":k=\"L\",v=+f[y][1],w.push([k,d,v]);break;case\"A\":k=\"L\";var A=+f[y][1],M=+f[y][2];+f[y][4]||(A=-A,M=-M);var S=d-A,E=v;for(o=1;o<=a/2;o++){var L=2*Math.PI*o/a;w.push([k,S+A*Math.cos(L),E+M*Math.sin(L)])}break;case\"Z\":d===s&&v===c||(d=s,v=c,w.push([k,d,v]))}for(var C=(r||{}).domain,P=e._fullLayout._size,O=r&&\"pixel\"===r.xsizemode,I=r&&\"pixel\"===r.ysizemode,D=!1===i,z=0;z<w.length;z++){for(o=0;o+2<7;o+=2){var R=w[z][o+1],F=w[z][o+2];void 0!==R&&void 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},93940:function(t,e,r){\"use strict\";var n=r(72760),i=n.drawMode,a=n.openMode,o=r(7e3),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(5840),d=p.p2r,v=p.r2p,g=r(1936).clearOutline,y=r(9856),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},\"date\"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?\"domain\"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?\"domain\"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},\"path\"===d)return y&&\"date\"===y.type&&(s=e.decodeDate(s)),m&&\"date\"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,s,u);if(\"pixel\"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if(\"pixel\"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if(\"line\"===d)return\"M\"+c+\",\"+h+\"L\"+f+\",\"+p;if(\"rect\"===d)return\"M\"+c+\",\"+h+\"H\"+f+\"V\"+p+\"H\"+c+\"Z\";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M=\"A\"+k+\",\"+A,S=w+k+\",\"+T;return\"M\"+S+M+\" 0 1,1 \"+w+\",\"+(T-A)+M+\" 0 0,1 \"+S+\"Z\"}},41592:function(t,e,r){\"use strict\";var n=r(4016);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(46056),supplyLayoutDefaults:r(43712),supplyDrawNewShapeDefaults:r(65144),includeBasePlot:r(36632)(\"shapes\"),calcAutorange:r(96084),draw:n.draw,drawOne:n.drawOne}},97728:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/2,i)}}},89861:function(t,e,r){\"use 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T={y:e.y,b:c.height*v[w],t:c.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*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[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})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return 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n=r._dims,i=s.ensureSingle(t,\"rect\",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function P(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,\"rect\",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+f.containerClassName).data(a.length>0?[0]:[]);function 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},97544:function(t,e,r){\"use strict\";var n=r(60876);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(89861),supplyLayoutDefaults:r(8132),draw:r(79664)}},81668:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(7316),o=r(24040),s=r(3400),l=s.strTranslate,u=r(43616),c=r(76308),f=r(72736),h=r(13448),p=r(84284).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;\"title.text\"===y?v=\"titleText\":-1!==y.indexOf(\"axis\")?v=\"axisTitleText\":y.indexOf(!0)&&(v=\"colorbarTitleText\");var I=t._context.edits[v];\"\"===E?A=0:E.replace(d,\" % \")===m.replace(d,\" % 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strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},91384:function(t,e,r){\"use strict\";var n=r(3400),i=r(51272),a=r(88444),o=r(73712).name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:u}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function u(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},14420:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(76308),o=r(43616),s=r(3400),l=r(72736),u=r(31780).arrayEditor,c=r(84284).LINE_SPACING,f=r(73712),h=r(37400);function p(t){return t._index}function d(t,e){return+t.attr(f.menuIndexAttrName)===e._index}function 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y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,u=\"dropdown\"===o.type?f.dropdownButtonClassName:f.buttonClassName,c=r.selectAll(\"g.\"+u).data(s.filterVisible(l)),h=c.enter().append(\"g\").classed(u,!0),p=c.exit();\"dropdown\"===o.type?(h.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+f.gapButtonHeader:d=y.headerWidth+f.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-y.openWidth);var b={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};c.each((function(s,l){var u=n.select(this);u.call(m,o,s,t).call(M,o,b),u.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(v(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(v(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))})),u.on(\"mouseover\",(function(){u.call(w)})),u.on(\"mouseout\",(function(){u.call(T,o),c.call(_,o)}))})),c.call(_,o),x?(k.w=Math.max(y.openWidth,y.headerWidth),k.h=b.y-k.t):(k.w=b.x-k.l,k.h=Math.max(y.openHeight,y.headerHeight)),k.direction=o.direction,a&&(c.size()?function(t,e,r,n,i,a){var o,s,l,u=i.direction,c=\"up\"===u||\"down\"===u,h=i._dims,p=i.active;if(c)for(s=0,l=0;l<p;l++)s+=h.heights[l]+f.gapButton;else for(o=0,l=0;l<p;l++)o+=h.widths[l]+f.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var h=s.select(\".\"+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),v=e.font.size*c,g=l.lineCount(h),y=Math.max(v*g,f.minHeight)+f.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),u?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+f.gapButton,r.openHeight+=y+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),u?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(u?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var v=\"left\";s.isRightAnchor(e)&&(r.lx-=h,v=\"right\"),s.isCenterAnchor(e)&&(r.lx-=h/2,v=\"center\");var g=\"top\";s.isBottomAnchor(e)&&(r.ly-=p,g=\"bottom\"),s.isMiddleAnchor(e)&&(r.ly-=p/2,g=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),i.autoMargin(t,A(e),{x:e.x,y:e.y,l:h*({right:1,center:.5}[v]||0),r:h*({left:1,center:.5}[v]||0),b:p*({top:1,middle:.5}[g]||0),t:p*({bottom:1,middle:.5}[g]||0)})}function A(t){return f.autoMarginIdRoot+t._index}function M(t,e,r,n){n=n||{};var i=t.select(\".\"+f.itemRectClassName),a=t.select(\".\"+f.itemTextClassName),s=e.borderwidth,u=r.index,h=e._dims;o.setTranslate(t,s+r.x,s+r.y);var p=-1!==[\"up\",\"down\"].indexOf(e.direction),d=n.height||(p?h.heights[u]:h.height1);i.attr({x:0,y:0,width:n.width||(p?h.width1:h.widths[u]),height:d});var v=e.font.size*c,g=(l.lineCount(a)-1)*v/2;l.positionText(a,f.textOffsetX,d/2-g+f.textOffsetY),p?r.y+=h.heights[u]+r.yPad:r.x+=h.widths[u]+r.xPad,r.index++}function S(t,e){t.attr(f.menuIndexAttrName,e||\"-1\").selectAll(\"g.\"+f.dropdownButtonClassName).remove()}t.exports=function(t){var e=t._fullLayout,r=s.filterVisible(e[f.name]);function a(e){i.autoMargin(t,A(e))}var o=e._menulayer.selectAll(\"g.\"+f.containerClassName).data(r.length>0?[0]:[]);if(o.enter().append(\"g\").classed(f.containerClassName,!0).style(\"cursor\",\"pointer\"),o.exit().each((function(){n.select(this).selectAll(\"g.\"+f.headerGroupClassName).each(a)})).remove(),0!==r.length){var l=o.selectAll(\"g.\"+f.headerGroupClassName).data(r,p);l.enter().append(\"g\").classed(f.headerGroupClassName,!0);for(var u=s.ensureSingle(o,\"g\",f.dropdownButtonGroupClassName,(function(t){t.style(\"pointer-events\",\"all\")})),c=0;c<r.length;c++){var m=r[c];k(t,m)}var x=\"updatemenus\"+e._uid,b=new h(t,u,x);l.enter().size()&&(u.node().parentNode.appendChild(u.node()),u.call(S)),l.exit().each((function(t){u.call(S),a(t)})).remove(),l.each((function(e){var r=n.select(this),a=\"dropdown\"===e.type?u:null;i.manageCommandObserver(t,e,e.buttons,(function(n){v(t,e,e.buttons[n.index],r,a,b,n.index,!0)})),\"dropdown\"===e.type?(g(t,r,u,b,e),d(u,e)&&y(t,r,u,b,e)):y(t,r,null,null,e)}))}}},76908:function(t,e,r){\"use strict\";var n=r(73712);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(88444),supplyLayoutDefaults:r(91384),draw:r(14420)}},37400:function(t,e,r){\"use strict\";t.exports=s;var n=r(33428),i=r(76308),a=r(43616),o=r(3400);function s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,u=o.height;this.position=t;var c,f,h,p,d=this.position.l,v=this.position.w,g=this.position.t,y=this.position.h,m=this.position.direction,x=\"down\"===m,b=\"left\"===m,_=\"up\"===m,w=v,T=y;x||b||\"right\"===m||_||(this.position.direction=\"down\",x=!0),x||_?(f=(c=d)+w,x?(h=g,T=(p=Math.min(h+T,u))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(c=Math.max(f-w,0)):(c=d,w=(f=Math.min(c+w,l))-c)),this._box={l:c,t:h,w:w,h:T};var k=v>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||C?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),C&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},84284:function(t){\"use strict\";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\"right\",right:\"left\",top:\"bottom\",bottom:\"top\"}}},36208:function(t){\"use strict\";t.exports={axisRefDescription:function(t,e,r){return[\"If set to a\",t,\"axis id (e.g. *\"+t+\"* or\",\"*\"+t+\"2*), the `\"+t+\"` position refers to a\",t,\"coordinate. 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o=0,s=0,l=0,u=0;function c(e){return(1+100*(e-t)/r.dtick)%100<2}for(var f=0;f<e.length;f++)e[f]%1==0?l++:i(e[f])||u++,c(e[f])&&o++,c(e[f]+r.dtick/2)&&s++;var h=e.length-u;if(l===h&&\"date\"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*h&&(o>.3*h||c(n)||c(a))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(m,t,l,u,c),g=m+(1+Math.floor((c-m)/y))*y;else for(\"M\"===l.dtick.charAt(0)&&(m=function(t,e,r,n,i){var a=s.findExactDates(e,i);if(a.exactDays>.8){var o=Number(r.substr(1));a.exactYears>.8&&o%12==0?t=H.tickIncrement(t,\"M6\",\"reverse\")+1.5*M:a.exactMonths>.8?t=H.tickIncrement(t,\"M1\",\"reverse\")+15.5*M:t-=S;var l=H.tickIncrement(t,r);if(l<=n)return l}return t}(m,t,y,u,a)),g=m;g<=c;)g=H.tickIncrement(g,y,!1,a);return{start:e.c2r(m,0,a),end:e.c2r(g,0,a),size:y,_dataSpan:c-u}},H.prepMinorTicks=function(t,e,r){if(!e.minor.dtick){delete t.dtick;var n,a=e.dtick&&i(e._tmin);if(a){var o=H.tickIncrement(e._tmin,e.dtick,!0);n=[e._tmin,.99*o+.01*e._tmin]}else{var l=s.simpleMap(e.range,e.r2l);n=[l[0],.8*l[0]+.2*l[1]]}if(t.range=s.simpleMap(n,e.l2r),t._isMinor=!0,H.prepTicks(t,r),a){var u=i(e.dtick),c=i(t.dtick),f=u?e.dtick:+e.dtick.substring(1),h=c?t.dtick:+t.dtick.substring(1);u&&c?et(f,h)?f===2*A&&h===2*M&&(t.dtick=A):f===2*A&&h===3*M?t.dtick=A:f!==A||(e._input.minor||{}).nticks?rt(f/h,2.5)?t.dtick=f/2:t.dtick=f:t.dtick=M:\"M\"===String(e.dtick).charAt(0)?c?t.dtick=\"M1\":et(f,h)?f>=12&&2===h&&(t.dtick=\"M3\"):t.dtick=e.dtick:\"L\"===String(t.dtick).charAt(0)?\"L\"===String(e.dtick).charAt(0)?et(f,h)||(t.dtick=rt(f/h,2.5)?e.dtick/2:e.dtick):t.dtick=\"D1\":\"D2\"===t.dtick&&+e.dtick>1&&(t.dtick=1)}t.range=e.range}void 0===e.minor._tick0Init&&(t.tick0=e.tick0)},H.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?s.bigFont(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),t.minor&&\"array\"!==t.minor.tickmode||\"array\"===t.tickmode&&(a*=100),t._roughDTick=Math.abs(r[1]-r[0])/a,H.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}\"period\"===t.ticklabelmode&&function(t){var e;function r(){return!(i(t.dtick)||\"M\"!==t.dtick.charAt(0))}var n=r(),a=H.getTickFormat(t);if(a){var o=t._dtickInit!==t.dtick;/%[fLQsSMX]/.test(a)||(/%[HI]/.test(a)?(e=E,o&&!n&&t.dtick<E&&(t.dtick=E)):/%p/.test(a)?(e=S,o&&!n&&t.dtick<S&&(t.dtick=S)):/%[Aadejuwx]/.test(a)?(e=M,o&&!n&&t.dtick<M&&(t.dtick=M)):/%[UVW]/.test(a)?(e=A,o&&!n&&t.dtick<A&&(t.dtick=A)):/%[Bbm]/.test(a)?(e=T,o&&(n?nt(t.dtick)<1:t.dtick<k)&&(t.dtick=\"M1\")):/%[q]/.test(a)?(e=b,o&&(n?nt(t.dtick)<3:t.dtick<_)&&(t.dtick=\"M3\")):/%[Yy]/.test(a)&&(e=y,o&&(n?nt(t.dtick)<12:t.dtick<m)&&(t.dtick=\"M12\")))}(n=r())&&t.tick0===t._dowTick0&&(t.tick0=t._rawTick0),t._definedDelta=e}(t),t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),vt(t)},H.calcTicks=function(t,e){for(var r,n,a=t.type,o=t.calendar,l=t.ticklabelstep,u=\"period\"===t.ticklabelmode,c=s.simpleMap(t.range,t.r2l,void 0,void 0,e),f=c[1]<c[0],h=Math.min(c[0],c[1]),p=Math.max(c[0],c[1]),d=Math.max(1e3,t._length||0),v=[],L=[],C=[],P=[],I=t.minor&&(t.minor.ticks||t.minor.showgrid),D=1;D>=(I?0:1);D--){var z=!D;D?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var R=D?t:s.extendFlat({},t,t.minor);if(z?H.prepMinorTicks(R,t,e):H.prepTicks(R,e),\"array\"!==R.tickmode)if(\"sync\"!==R.tickmode){var F=J(c),B=F[0],N=F[1],j=i(R.dtick),U=\"log\"===a&&!(j||\"L\"===R.dtick.charAt(0)),V=H.tickFirst(R,e);if(D){if(t._tmin=V,V<B!==f)break;\"category\"!==a&&\"multicategory\"!==a||(N=f?Math.max(-.5,N):Math.min(t._categories.length-.5,N))}var q,G,W=null,Y=V;D&&(j?G=t.dtick:\"date\"===a?\"string\"==typeof t.dtick&&\"M\"===t.dtick.charAt(0)&&(G=T*t.dtick.substring(1)):G=t._roughDTick,q=Math.round((t.r2l(Y)-t.r2l(t.tick0))/G)-1);var X=R.dtick;for(R.rangebreaks&&R._tick0Init!==R.tick0&&(Y=zt(Y,t),f||(Y=H.tickIncrement(Y,X,!f,o))),D&&u&&(Y=H.tickIncrement(Y,X,!f,o),q--);f?Y>=N:Y<=N;Y=H.tickIncrement(Y,X,f,o)){if(D&&q++,R.rangebreaks&&!f){if(Y<B)continue;if(R.maskBreaks(Y)===O&&zt(Y,R)>=p)break}if(C.length>d||Y===W)break;W=Y;var Z={value:Y};D?(U&&Y!==(0|Y)&&(Z.simpleLabel=!0),l>1&&q%l&&(Z.skipLabel=!0),C.push(Z)):(Z.minor=!0,P.push(Z))}}else C=[],v=at(t);else D?(C=[],v=ot(t,!z)):(P=[],L=ot(t,!z))}if(I&&!(\"inside\"===t.minor.ticks&&\"outside\"===t.ticks||\"outside\"===t.minor.ticks&&\"inside\"===t.ticks)){for(var K=C.map((function(t){return t.value})),$=[],Q=0;Q<P.length;Q++){var tt=P[Q],et=tt.value;if(-1===K.indexOf(et)){for(var rt=!1,nt=0;!rt&&nt<C.length;nt++)1e7+C[nt].value===1e7+et&&(rt=!0);rt||$.push(tt)}}P=$}if(u&&function(t,e,r){for(var n=0;n<t.length;n++){var i=t[n].value,a=n,o=n+1;n<t.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s,l=t[a].value,u=t[o].value,c=Math.abs(u-l),f=r||c,h=0;f>=m?h=c>=m&&c<=g?c:y:r===b&&f>=_?h=c>=_&&c<=x?c:b:f>=k?h=c>=k&&c<=w?c:T:r===A&&f>=A?h=A:f>=M?h=M:r===S&&f>=S?h=S:r===E&&f>=E&&(h=E),h>=c&&(h=c,s=!0);var p=i+h;if(e.rangebreaks&&h>0){for(var d=0,v=0;v<84;v++){var L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==O&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var it=\"y\"===t._id.charAt(0),st=1;\"auto\"===t.tickmode&&(st=t.tickfont?t.tickfont.size:12);var lt=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=zt(C[r].value,t);var ut=t.c2p(C[r].value);(it?lt>ut-st:lt<ut+st)?C.splice(f?r+1:r,1):lt=ut}}Dt(t)&&360===Math.abs(c[1]-c[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var ct,ft,ht=function(e){e.text=\"\",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var pt=C[r].minor,dt=C[r].value;pt?L.push({x:dt,minor:!0}):(n=t._prevDateHead,ct=H.tickText(t,dt,!1,C[r].simpleLabel),void 0!==(ft=C[r].periodX)&&(ct.periodX=ft,(ft>p||ft<h)&&(ft>p&&(ct.periodX=p),ft<h&&(ct.periodX=h),ht(ct))),C[r].skipLabel&&ht(ct),v.push(ct))}return v=v.concat(L),t._inCalcTicks=!1,u&&v.length&&(v[0].noTick=!0),v};var st=[2,5,10],lt=[1,2,3,6,12],ut=[1,2,5,10,15,30],ct=[1,2,3,7,14],ft=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],ht=[-.301,0,.301,.699,1],pt=[15,30,45,90,180];function dt(t,e,r){return e*s.roundUp(t/e,r)}function vt(t){var e=t.dtick;if(t._tickexponent=0,i(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),a=n.length;if(\"M\"===String(e).charAt(0))a>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&a<=10||e>=15*M)t._tickround=\"d\";else if(e>=L&&a<=16||e>=E)t._tickround=\"M\";else if(e>=C&&a<=19||e>=L)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(mt(t.exponentformat)&&!xt(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function gt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}H.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick=\"M\"+12*dt(e,n,st);else if(o>T)e/=T,t.dtick=\"M\"+dt(e,1,lt);else if(o>M){if(t.dtick=dt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ct),!r){var l=H.getTickFormat(t),u=\"period\"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=dt(e,E,lt):o>L?t.dtick=dt(e,L,ut):o>C?t.dtick=dt(e,C,ut):(n=a(10),t.dtick=dt(e,n,st))}else if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick=\"L\"+dt(e,n,st)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Dt(t)?(t.tick0=0,n=1,t.dtick=dt(e,n,pt)):(t.tick0=0,n=a(10),t.dtick=dt(e,n,st));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(h)}},H.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),u=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,u,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+u)/Math.LN10;if(\"D\"===l){var c=\"D2\"===e?ht:ft,f=t+.01*o,h=s.roundUp(s.mod(f,1),c,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},H.tickFirst=function(t,e){var r=t.r2l||Number,a=s.simpleMap(t.range,r,void 0,void 0,e),o=a[1]<a[0],l=o?Math.floor:Math.ceil,u=J(a)[0],c=t.dtick,f=r(t.tick0);if(i(c)){var h=l((u-f)/c)*c+f;return\"category\"!==t.type&&\"multicategory\"!==t.type||(h=s.constrain(h,0,t._categories.length-1)),h}var p=c.charAt(0),d=Number(c.substr(1));if(\"M\"===p){for(var v,g,y,m=0,x=f;m<10;){if(((v=H.tickIncrement(x,c,o,t.calendar))-u)*(x-u)<=0)return o?Math.min(x,v):Math.max(x,v);g=(u-(x+v)/2)/(v-x),y=p+(Math.abs(Math.round(g))||1)*d,x=H.tickIncrement(x,y,g<0?!o:o,t.calendar),m++}return s.error(\"tickFirst did not converge\",t),x}if(\"L\"===p)return Math.log(l((Math.pow(10,u)-f)/d)*d+f)/Math.LN10;if(\"D\"===p){var b=\"D2\"===c?ht:ft,_=s.roundUp(s.mod(u,1),b,o);return Math.floor(u)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw\"unrecognized dtick \"+String(c)},H.tickText=function(t,e,r,n){var a,o=gt(t,e),l=\"array\"===t.tickmode,u=r||l,c=t.type,f=\"category\"===c?t.d2l_noadd:t.d2l,h=function(e){var r=t.l2p(e);return r>=0&&r<=t._length?e:null};if(l&&s.isArrayOrTypedArray(t.ticktext)){var p=s.simpleMap(t.range,t.r2l),d=(Math.abs(p[1]-p[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-f(t.tickvals[a]))<d);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o.xbnd=[h(o.x-.5),h(o.x+t.dtick-.5)],o}function v(n){if(void 0===n)return!0;if(r)return\"none\"===n;var i={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==i}var g=r?\"never\":\"none\"!==t.exponentformat&&v(t.showexponent)?\"hide\":\"\";if(\"date\"===c?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||H.getTickFormat(t);(n=!o&&n)&&(a=i(a)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[a]);var l,u=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),c=u.indexOf(\"\\n\");if(-1!==c&&(l=u.substr(c+1),u=u.substr(0,c)),n&&(void 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r,n,i,s,l=e.side.charAt(0),u=q[e.side].charAt(0),c=H.getPxPosition(t,e),f=O?e.ticklen:0;(e.automargin||lt||e._shiftPusher)&&(\"multicategory\"===e.type?r=ut(\"tick2\"):(r=ut(),\"x\"===g&&\"b\"===l&&(e._depth=Math.max(r.width>0?r.bottom-c:0,f))));var h=0,p=0;if(e._shiftPusher&&(h=Math.max(f,r.height>0?\"l\"===l?c-r.left:r.right-c:0),e.title.text!==d._dfltTitle[g]&&(p=(e._titleStandoff||0)+(e._titleScoot||0),\"l\"===l&&(p+=At(e))),e._fullDepth=Math.max(h,p)),e.automargin){n={x:0,y:0,r:0,l:0,t:0,b:0};var v=[0,1],m=\"number\"==typeof e._shift?e._shift:0;if(\"x\"===g){if(\"b\"===l?n[l]=e._depth:(n[l]=e._depth=Math.max(r.width>0?c-r.top:0,f),v.reverse()),r.width>0){var x=r.right-(e._offset+e._length);x>0&&(n.xr=1,n.r=x);var b=e._offset-r.left;b>0&&(n.xl=0,n.l=b)}}else if(\"l\"===l?(e._depth=Math.max(r.height>0?c-r.left:0,f),n[l]=e._depth-m):(e._depth=Math.max(r.height>0?r.right-c:0,f),n[l]=e._depth+m,v.reverse()),r.height>0){var _=r.bottom-(e._offset+e._length);_>0&&(n.yb=0,n.b=_);var w=e._offset-r.top;w>0&&(n.yt=1,n.t=w)}n[y]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[v[0]],e.title.text!==d._dfltTitle[g]&&(n[l]+=At(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]+=f),!0===e.mirror||\"ticks\"===e.mirror?i[y]=e._anchorAxis.domain[v[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[y]=[e._counterDomainMin,e._counterDomainMax][v[1]]))}lt&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),\"string\"==typeof e.automargin&&(_t(n,e.automargin),_t(i,e.automargin)),a.autoMargin(t,Et(e),n),a.autoMargin(t,Lt(e),i),a.autoMargin(t,Ct(e),s)})),s.syncOrAsync(ot)}}function ut(t){var r=v+(t||\"tick\");return M[r]||(M[r]=function(t,e,r){var n,i,a,o;if(t._selections[e].size())n=1/0,i=-1/0,a=1/0,o=-1/0,t._selections[e].each((function(){var t=St(this),e=h.bBox(t.node().parentNode);n=Math.min(n,e.top),i=Math.max(i,e.bottom),a=Math.min(a,e.left),o=Math.max(o,e.right)}));else{var s=H.makeLabelFns(t,r);n=i=s.yFn({dx:0,dy:0,fontSize:0}),a=o=s.xFn({dx:0,dy:0,fontSize:0})}return{top:n,bottom:i,left:a,right:o,height:i-n,width:o-a}}(e,r,w)),M[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 u=t.side,c=l?(t.tickwidth||0)/2:0,f=3,h=t.tickfont?t.tickfont.size:12;return(o||n)&&(c+=h*U,f+=(t.linewidth||0)/2),(i||a)&&(c+=(t.linewidth||0)/2,f+=3),s&&\"top\"===u&&(f-=h*(1-U)),(i||n)&&(c=-c),\"bottom\"!==u&&\"right\"!==u||(f=-f),[l?c: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(Tt(e)),n)}:function(e){return l(n,r+t._offset+t.l2p(Tt(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\"),u=a(\"right\"),c=a(\"bottom\")||l||o||u,f=a(\"inside\"),h=\"inside\"===n&&\"inside\"===t.ticks||!f&&\"outside\"===t.ticks&&\"boundaries\"!==t.tickson,p=0,d=0,v=h?t.ticklen:0;if(f?v*=-1:c&&(v=0),h&&(p+=v,r)){var 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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 u=\"array\"===e.tickmode,c=0;c<s.length;c++){var p=s[c].x;if(u?!p:Math.abs(p)<e.dtick/100){if(s=s.slice(0,c).concat(s.slice(c+1)),!u)break;c--}}e._gw=h.crispRound(t,e.gridwidth,1);for(var d=a?h.crispRound(t,e.minor.gridwidth,1):0,v=r.layer,g=r.minorLayer,y=1;y>=0;y--){var m=y?v:g;if(m){var x=m.selectAll(\"path.\"+i).data(y?s:o,kt);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 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r=n.select(this),i=t._promises.length;r.call(u.positionText,p.xFn(e),p.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(u.convertToTspans,t),t._promises[i]?y.push(t._promises.pop().then((function(){m(r,d)}))):m(r,d)})),Ft(e,[F]),g.exit().remove(),r.repositionOnUpdate&&g.each((function(t){n.select(this).select(\"text\").call(u.positionText,p.xFn(t),p.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,u=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf(\"domain\")){var c=s.simpleMap(e.range,e.r2l);l=e.l2p(c[0])+e._offset,u=e.l2p(c[1])+e._offset}var f=Math.min(l,u),p=Math.max(l,u),d=e.side,v=1/0,y=-1/0;for(var m in g.each((function(t){var r=n.select(this);if(r.select(\".text-math-group\").empty()){var a=h.bBox(r.node()),s=0;o?(a.right>p||a.left<f)&&(s=1):(a.bottom>p||a.top+(e.tickangle?0:t.fontSize/4)<f)&&(s=1);var l=r.select(\"text\");s?i&&l.style(\"opacity\",0):(l.style(\"opacity\",1),v=\"bottom\"===d||\"right\"===d?Math.min(v,o?a.top:a.left):-1/0,y=\"top\"===d||\"left\"===d?Math.max(y,o?a.bottom:a.right):1/0)}})),a._plots){var x=a._plots[m];if(e._id===x.xaxis._id||e._id===x.yaxis._id){var b=o?x.yaxis:x.xaxis;b&&(b[\"_visibleLabelMin_\"+e._id]=v,b[\"_visibleLabelMax_\"+e._id]=y)}}}},e._hideCounterAxisInsideTickLabels=function(t){var r=\"x\"===e._id.charAt(0),i=[];for(var o in a._plots){var s=a._plots[o];e._id!==s.xaxis._id&&e._id!==s.yaxis._id||i.push(r?s.yaxis:s.xaxis)}i.forEach((function(r,i){r&&Rt(r)&&(t||[I,z,D,R,F]).forEach((function(t){var o=\"tick\"===t.K&&\"text\"===t.L&&\"period\"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===I.K?s.zerolinelayer.selectAll(\".\"+e._id+\"zl\"):t.K===z.K?s.minorGridlayer.selectAll(\".\"+e._id):t.K===D.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?Tt(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)}))}))}))}))},m(g,v+1?v:d);var x=null;e._selections&&(e._selections[c]=g);var b=[function(){return y.length&&Promise.all(y)}];e.automargin&&a._redrawFromAutoMarginCount&&90===v?(x=v,b.push((function(){m(g,v)}))):b.push((function(){if(m(g,d),f.length&&e.autotickangles&&(\"log\"!==e.type||\"D\"!==String(e.dtick).charAt(0))){x=e.autotickangles[0];var t,n=0,i=[],a=1;if(g.each((function(t){n=Math.max(n,t.fontSize);var r=e.l2p(t.x),o=St(this),s=h.bBox(o.node());a=Math.max(a,u.lineCount(o)),i.push({top:0,bottom:10,height:10,left:r-s.width/2,right:r+s.width/2+2,width:s.width+2})})),\"boundaries\"!==e.tickson&&!e.showdividers||r.secondary){var o=f.length,l=Math.abs((f[o-1].x-f[0].x)*e._m)/(o-1),c=e.ticklabelposition||\"\",p=function(t){return-1!==c.indexOf(t)},v=p(\"top\"),y=p(\"left\"),b=p(\"right\"),_=p(\"bottom\")||y||v||b?(e.tickwidth||0)+6:0,w=l,T=1.25*n*a,k=w/Math.sqrt(Math.pow(w,2)+Math.pow(T,2)),A=e.autotickangles.map((function(t){return t*Math.PI/180})),M=A.find((function(t){return Math.abs(Math.cos(t))<=k}));void 0===M&&(M=A.reduce((function(t,e){return Math.abs(Math.cos(t))<Math.abs(Math.cos(e))?t:e}),A[0]));var S=M*(180/Math.PI);for(t=0;t<i.length-1;t++)if(s.bBoxIntersect(i[t],i[t+1],_)){x=S;break}}else{var E=2;for(e.ticks&&(E+=e.tickwidth/2),t=0;t<i.length;t++){var L=f[t].xbnd,C=i[t];if(null!==L[0]&&C.left-e.l2p(L[0])<E||null!==L[1]&&e.l2p(L[1])-C.right<E){x=90;break}}}x&&m(g,x)}})),e._tickAngles&&b.push((function(){e._tickAngles[c]=null===x?i(d)?d:0:x}));var _=function(){var t=0,r=0;return g.each((function(n,i){var a,o=St(this);o.select(\".text-math-group\").empty()&&(e._vals[i]&&(a=e._vals[i].bb||h.bBox(o.node()),e._vals[i].bb=a),t=Math.max(t,a.width),r=Math.max(r,a.height))})),{labelsMaxW:t,labelsMaxH:r}},w=e._anchorAxis;if(w&&(w.autorange||w.insiderange)&&Rt(e)&&!X(a,e._id)&&(a._insideTickLabelsUpdaterange||(a._insideTickLabelsUpdaterange={}),w.autorange&&(a._insideTickLabelsUpdaterange[w._name+\".autorange\"]=w.autorange,b.push(_)),w.insiderange)){var T=_(),k=\"y\"===e._id.charAt(0)?T.labelsMaxW:T.labelsMaxH;k+=6,\"inside\"===e.ticklabelposition&&(k+=e.ticklen||0);var A=\"right\"===e.side||\"top\"===e.side?1:-1,M=1===A?1:0,S=1===A?0:1,E=[];E[S]=w.range[S];var L=w.range,C=w.r2p(L[M]),P=w.r2p(L[S]),O=a._insideTickLabelsUpdaterange[w._name+\".range\"];if(O){var B=w.r2p(O[M]),N=w.r2p(O[S]),j=A*(\"y\"===e._id.charAt(0)?1:-1);j*C<j*B&&(C=B,E[M]=L[M]=O[M]),j*P>j*N&&(P=N,E[S]=L[S]=O[S])}var 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k=l._inputDomain,A=(l.domain[1]-l.domain[0])/(k[1]-k[0]),M=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if((h/=A)*M<1){l.domain=l._input.domain=k.slice(),s(l,h);continue}if(M<1&&(l.range=l._input.range=l._inputRange.slice(),h*=M),l.autorange){var S=l.r2l(l.range[0]),E=l.r2l(l.range[1]),L=(S+E)/2,C=L,P=L,O=Math.abs(E-L),I=L-O*h*1.0001,D=L+O*h*1.0001,z=i.makePadFn(p,l,0),R=i.makePadFn(p,l,1);y(l,h);var F,B,N=Math.abs(l._m),j=i.concatExtremes(t,l),U=j.min,V=j.max;for(B=0;B<U.length;B++)(F=U[B].val-z(U[B])/N)>I&&F<C&&(C=F);for(B=0;B<V.length;B++)(F=V[B].val+R(V[B])/N)<D&&F>P&&(P=F);h/=(P-C)/(2*O),C=l.l2r(C),P=l.l2r(P),l.range=l._input.range=S<E?[C,P]:[P,C]}y(l,h)}}},e.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++)if(r[n][e])return\"g\"+n;return e},e.clean=function(t,e){if(e._inputDomain){for(var r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&\"domain\"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},51184:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400),a=i.numberFormat,o=r(49760),s=r(89184),l=r(24040),u=i.strTranslate,c=r(72736),f=r(76308),h=r(43616),p=r(93024),d=r(54460),v=r(93972),g=r(86476),y=r(72760),m=y.selectingOrDrawing,x=y.freeMode,b=r(84284).FROM_TL,_=r(73696),w=r(39172).redrawReglTraces,T=r(7316),k=r(79811).getFromId,A=r(22676).prepSelect,M=r(22676).clearOutline,S=r(22676).selectOnClick,E=r(21160),L=r(33816),C=L.MINDRAG,P=L.MINZOOM,O=!0;function I(t,e,r,n){var a=i.ensureSingle(t.draglayer,e,r,(function(e){e.classed(\"drag\",!0).style({fill:\"transparent\",\"stroke-width\":0}).attr(\"data-subplot\",t.id)}));return a.call(v,n),a.node()}function D(t,e,r,i,a,o,s){var l=I(t,\"rect\",e,r);return n.select(l).call(h.setRect,i,a,o,s),l}function z(t,e){for(var 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t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",u(r,n)).attr(\"d\",i+\"Z\")}function j(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function q(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function H(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var 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0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function X(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(Z={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}K=X(V),J=X(Z),it=z(K,y),at=z(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function zt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){zt(),q(t),Gt(),H(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=K,Pt.yaxes=J,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=Dt,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(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,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;m(r)||(mt(),Wt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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n=r(33428),i=r(83356),a=i.geoPath,o=i.geoDistance,s=r(87108),l=r(24040),u=r(3400),c=u.strTranslate,f=r(76308),h=r(43616),p=r(93024),d=r(7316),v=r(54460),g=r(19280).getAutoRange,y=r(86476),m=r(22676).prepSelect,x=r(22676).clearOutline,b=r(22676).selectOnClick,_=r(79248),w=r(79552),T=r(27144),k=r(59972),A=r(55712).NO;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var 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r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var 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f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var 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o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var 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;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"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||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(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 e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.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=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.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];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.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()}},e.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)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).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=u(this.glplot),this.selectBox=c(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())}t.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 u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}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 u=n[r._name];u.range=s,u.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}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(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],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}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 u=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])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+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 v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.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[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"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}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],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())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],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()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.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,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.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,labelalias:i.labelalias,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\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).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\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),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=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,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})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).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\"}}t.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\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),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)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];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=r(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424:function(t){\"use strict\";function e(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}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(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=m(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=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.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\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!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=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.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(\"touchstart\",(function(){w=!0})),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)}}),!!u&&{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},k.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 u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=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!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=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,O=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=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){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,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 K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var 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I,D,z,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,D=null,z=null,N.moveFn=j,N.doneFn=q,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?H:G)}var l={};!function(t){null!==D?t[i.id+\".radialaxis.angle\"]=D:null!==z&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=z)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==D?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",D):null!==z&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",z)}function H(t,e){if(0!==r){var n=b+t,a=_+e;D=Math.atan2(d-a,n-p),i.vangles&&(D=U(D,i.vangles)),D=F(D);var o=l(p,d)+s(-D);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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ot=(Z=D(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=z.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=L(u),g=C(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:v}}(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===z.constraintext||\"outside\"===z.constraintext,angle:lt}):P(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===z.constraintext||\"inside\"===z.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===z.type?\"bar\":z.type,st,I),N.transform=st;var ut=M(Z,I,w,T);a.setTransormAndDisplay(ut,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,W,Y,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,R.select(\"text\"),w,O,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,z,e,g)},toMoveInsideBar:P}},45784:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},72592:function(t,e,r){\"use strict\";t.exports=i;var n=r(3400).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},6296:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.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=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=u(t[n]);return e}function v(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 g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function y(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}p.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 l(r)&&void 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p={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:u(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var m=c(t);this.color=\"#fff\";var x=t.intensitymode;p[x+\"Intensity\"]=t.intensity,p[x+\"IntensityBounds\"]=[m.min,m.max],p.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],p.vertexColors=d(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=d(t.facecolor)):(this.color=t.color,p.meshColor=u(t.color));this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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r,n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].t.bPos||0;if(!1===e)for(r=0;r<n.length;r++)n[r].selected=0;else for(r=0;r<n.length;r++){var l=n[r];e.contains([i.c2p(l.pos+s),a.c2p(l.yc)],null,l.i,t)?(o.push({pointNumber:l.i,x:i.c2d(l.pos),y:a.c2d(l.yc)}),l.selected=1):l.selected=0}return o}},14008:function(t,e,r){\"use strict\";var n=r(33428),i=r(43616),a=r(76308);t.exports=function(t,e,r){var o=r||n.select(t).selectAll(\"g.ohlclayer\").selectAll(\"g.trace\");o.style(\"opacity\",(function(t){return t[0].trace.opacity})),o.each((function(t){var e=t[0].trace;n.select(this).selectAll(\"path\").each((function(t){if(!t.empty){var r=e[t.dir].line;n.select(this).style(\"fill\",\"none\").call(a.stroke,r.color).call(i.dashLine,r.dash,r.width).style(\"opacity\",e.selectedpoints&&!t.selected?.3:1)}}))}))}},72140:function(t,e,r){\"use strict\";var 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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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(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.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){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.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){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.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\")})),h.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 v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var u=t.selectAll(\".highlight\").data(o);u.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},60664:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function v(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;s*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return o.extendFlat({key:f,resolution:[x,b],viewBoxPos:[s+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:s+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-s+y:u+.5)+(n===e?s+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,l,g,b,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var 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a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},74996:function(t,e,r){\"use strict\";var n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.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\"},pattern:c,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:u({},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:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(7316);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 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p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},53644:function(t,e,r){\"use strict\";var n=r(10624).appendArrayMultiPointValues;t.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}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){\"use strict\";var n=r(3400);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.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:u._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),v=s+t.pxmid[1]*(1-p),m=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,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+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:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(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),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.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 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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=O(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,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/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 O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(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 u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(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((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).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 D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),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);(m(_)||\"\"===_)&&(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}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.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,u=\"px0\",c=\"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,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=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),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.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}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=u.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)i=u[l],s=c[l],r[l]=l,n[2*l]=i,n[2*l+1]=s,i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var v=a(t.marker.color),g=a(t.marker.border.color),y=t.opacity*t.marker.opacity;v[3]*=y,this.pointcloudOptions.color=v;var m=t.marker.blend;null===m&&(m=u.length<100||c.length<100),this.pointcloudOptions.blend=m,g[3]*=y,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=o(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=o(w,[d[1],d[3]],{ppad:T})},u.dispose=function(){this.pointcloud.dispose()},t.exports=function(t,e){var r=new l(t,e.uid);return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(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-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(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-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return 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:c.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 C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function O(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function D(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function z(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",I),_.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var C=L.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),g);C.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(D,_,i.linkEvents),C.style(\"stroke\",(function(t){return O(t)?c.tinyRGB(u(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return O(t)?c.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return O(t)?t.linkLineWidth:1})).attr(\"d\",M()),C.style(\"opacity\",(function(){return t._context.staticPlot||s||v?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),C.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var R=_.selectAll(\".\"+l.cn.sankeyNodeSet).data(y,g);R.enter().append(\"g\").classed(l.cn.sankeyNodeSet,!0),R.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=R.selectAll(\".\"+l.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(S.bind(null,t))}),g);F.enter().append(\"g\").classed(l.cn.sankeyNode,!0).call(E).style(\"opacity\",(function(e){return!t._context.staticPlot&&!s||e.partOfGroup?0:1})),F.call(D,_,i.nodeEvents).call(z,C,i,t),F.transition().ease(l.ease).duration(l.duration).call(E).style(\"opacity\",(function(t){return t.partOfGroup?0:1})),F.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var B=F.selectAll(\".\"+l.cn.nodeRect).data(y);B.enter().append(\"rect\").classed(l.cn.nodeRect,!0).call(P),B.style(\"stroke-width\",(function(t){return t.nodeLineWidth})).style(\"stroke\",(function(t){return c.tinyRGB(u(t.nodeLineColor))})).style(\"stroke-opacity\",(function(t){return c.opacity(t.nodeLineColor)})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),B.transition().ease(l.ease).duration(l.duration).call(P);var N=F.selectAll(\".\"+l.cn.nodeLabel).data(y);N.enter().append(\"text\").classed(l.cn.nodeLabel,!0).style(\"cursor\",\"default\"),N.attr(\"data-notex\",1).text((function(t){return t.node.label})).each((function(e){var r=a.select(this);f.font(r,e.textFont),x.convertToTspans(r,t)})).style(\"text-shadow\",x.makeTextShadow(t._fullLayout.paper_bgcolor)).attr(\"text-anchor\",(function(t){return 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n=r(94288).hasColorscale,i=r(47128),a=r(43028);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},88200:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},96664:function(t,e,r){\"use strict\";var n=r(16356),i=r(96376).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(52904),s=r(45464),l=r(49084),u=r(98192).u,c=r(92880).extendFlat,f=r(67824).overrideAll,h=o.marker,p=o.line,d=h.line;t.exports=f({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>v.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,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}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);t.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)}},80088:function(t,e,r){\"use strict\";var n=r(67072);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=i.isArrayOrTypedArray(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.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.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 y=s.c2p(h.x,!0),m=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:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,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}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.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=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-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 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.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})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.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,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.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 if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,P=L.t,O=P.index,I=C._length,D=P.x,z=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[O]=B}var N=P.xpx=new Array(I),j=P.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(D[g]),j[g]=b.c2p(z[g])}else P.xpx=P.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,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]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.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,u=r.selectBatch,c=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(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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n=r(3400),i=n.pushUnique,a=r(43028),o=r(50328);t.exports=function(t,e){var r=t.cd,s=r[0].trace,l=r[0].t,u=t.scene,c=u.matrixOptions.cdata,f=t.xaxis,h=t.yaxis,p=[];if(!u)return p;var d=!a.hasMarkers(s)&&!a.hasText(s);if(!0!==s.visible||d)return p;var v=o.getDimIndex(s,f),g=o.getDimIndex(s,h);if(!1===v||!1===g)return p;var y=l.xpx[v],m=l.ypx[g],x=c[v],b=c[g],_=(t.scene.selectBatch||[]).slice(),w=[];if(!1!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([y[T],m[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:b[T]}),i(_,T)):-1!==_.indexOf(T)?i(_,T):w.push(T);var k=u.matrixOptions;return _.length||w.length?u.selectBatch.length||u.unselectBatch.length||u.matrix.update(u.unselectedOptions,n.extendFlat({},k,u.selectedOptions,u.viewOpts)):u.matrix.update(k,null),u.selectBatch=_,u.unselectBatch=w,p}},90167:function(t,e,r){\"use strict\";var n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),q=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&D[H]*V<D[W]*V&&z[H]*q<z[Y]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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O.lightPosition=[D.x,D.y,D.z],O.ambient=e.lighting.ambient,O.diffuse=e.lighting.diffuse,O.specular=e.lighting.specular,O.roughness=e.lighting.roughness,O.fresnel=e.lighting.fresnel,O.opacity=e.opacity,e._pad=O.tubeScale*e.sizeref*2,O}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[u[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new c(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},54304:function(t,e,r){\"use 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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n=r(7316);e.name=\"sunburst\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},3776:function(t,e,r){\"use strict\";var n=r(74148),i=r(38248),a=r(3400),o=r(8932).makeColorScaleFuncFromTrace,s=r(45768).makePullColorFn,l=r(45768).generateExtendedColors,u=r(8932).calc,c=r(39032).ALMOST_EQUAL,f={},h={},p={};function d(t,e,r){var n=0,i=t.children;if(i){for(var a=i.length,o=0;o<a;o++)n+=d(i[o],e,r);r.branches&&n++}else r.leaves&&n++;return t.value=t.data.data.value=n,e._values||(e._values=[]),e._values[t.data.data.i]=n,n}e.calc=function(t,e){var r,l,f,h,p,v,g=t._fullLayout,y=e.ids,m=a.isArrayOrTypedArray(y),x=e.labels,b=e.parents,_=e.values,w=a.isArrayOrTypedArray(_),T=[],k={},A={},M=function(t){return t||\"number\"==typeof t},S=function(t){return!w||i(_[t])&&_[t]>=0};m?(r=Math.min(y.length,b.length),l=function(t){return M(y[t])&&S(t)},f=function(t){return String(y[t])}):(r=Math.min(x.length,b.length),l=function(t){return 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if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.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),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(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=t.exports=u(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:c(),y:c(),z:c()},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},56576:function(t,e,r){\"use strict\";var n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).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++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",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 v(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(v(t,n))}return e}function y(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 m(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 u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,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=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(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,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,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=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=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<y;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<y;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<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;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<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new 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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]=m[e],p.highlightColor[e]=w.contourColor[e]=c(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]=c(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 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m(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function x(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function b(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(s.repeat,s.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return 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u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(s.repeat,s.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var c=o.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(s.repeat,s.keyFun);c.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return 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,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=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],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>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,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((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(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|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,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((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,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((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,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|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(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((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(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|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(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|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,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,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,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|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=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,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,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|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=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|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=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|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(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|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=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|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(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,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]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(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,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<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),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),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):v(this,t,e),r},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),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},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),u=new Array(n),c=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,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[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),v(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 u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),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 u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,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),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=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(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),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(u)}},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 u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >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 e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red 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 y={k256:null,p224:null,p192:null,p25519:null};function m(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(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.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)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.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},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&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,m),i(_,m),i(w,m),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(y[t])return y[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 y[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(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.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 u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(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 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=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 c(this,n)},o.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 c(this,n)},o.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 c(this,n)},o.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 c(this,n)},o.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 c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.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 f=c.prototype;function h(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 p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"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}),f.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(f,\"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}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.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(f,\"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}})},7453:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(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=c.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),u=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]})),c=!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)for(r=t.ticks,c=!0,this.autoTicks=!1,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,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&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&&c&&(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,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[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 y=[0,0,0],m=[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,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.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,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*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 z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[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(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,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}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(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[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).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()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[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=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],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=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;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===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=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],u[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],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[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 v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[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,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,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,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,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 c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,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 c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;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()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),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}\"]);e.j=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}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=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}\"]),c=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}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__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}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.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,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(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=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[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]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.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]))},f.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]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){\"use strict\";function r(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,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],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:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.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}},2771:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);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=m?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 O=d(g,c,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(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=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,u=0;u<3;++u)s[u]=o[u]=r[u];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 c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[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]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),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 u(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 c(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\"),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=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(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=u(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?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(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=u(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}},t.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}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.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,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,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,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){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 I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),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,u,c){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=u,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=c,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;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=c({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 u(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,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(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]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[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)/(v-d),0]:[(m[2]-d)/(v-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 u={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};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,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()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(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}(t,s),c=function(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}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),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}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},1950:function(t){t.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_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var 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outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function 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m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?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){for(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),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=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=u(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(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{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}}),v.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])}},v.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)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.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 u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(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 c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[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],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,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,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/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 v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.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 u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),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,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[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*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,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)}},1292:function(t,e,r){\"use strict\";var n=r(6832);t.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\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),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\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.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}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.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 v(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 y(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 m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.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:v(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()}},m.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:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.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 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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}},4340:function(t,e,r){\"use strict\";var n=r(957),i=r(7309);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}t.exports=function(t,e,r,a,l,u){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),f=0;f<t.length;++f)c[f]=o(t[f],r,a,l,u);var h=0,p=1/0;for(f=0;f<c.length;++f){for(var d=0,v=0;v<2;++v)d+=Math.pow(c[f][v]-e[v],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var 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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}\"]),u=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}\"]),c=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\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=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,u,c,f,h,p,d,v,g,y,m,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=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,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,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(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 L(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 u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*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 c(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=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],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,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||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=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],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,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),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[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),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[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),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=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[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]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(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()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(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}(t),s=function(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}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(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),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=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,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);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 u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[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,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&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,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[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/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),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*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,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]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,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]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),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],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),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\"]);t.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\"])}},5613:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);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 u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[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,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=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]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.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,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-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)}}}(),v.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,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}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()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[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,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.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-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,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)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);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 u=l.prototype;function c(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}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.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 u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[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 c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[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 v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,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,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[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)}},u.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()}},u.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),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.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()},u.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())},u.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()},u.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=c(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=c(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=c(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=c(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=c(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=c(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()},u.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();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.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}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.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}}},4296:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=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 u=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}),c=[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:u,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:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.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,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(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&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.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))u.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-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),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}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){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}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(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})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,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=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,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:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,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,I=!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)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.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*F.pixelRatio),a=0|Math.ceil(n*F.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\",O=!0}}}function j(){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,z);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 U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._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&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,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),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[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=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.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 v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.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,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,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/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){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=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.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;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,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(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(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(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}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,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,H())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.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}\"]),e.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\"]),e.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\"]),e.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\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);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}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.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),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[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),c=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=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,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}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.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]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,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),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),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,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),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\"]),u=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}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(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}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),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 v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,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=u,this.pickOrthoShader=c,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}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,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}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.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 m=[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}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=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],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,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 y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[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()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.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},y.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]},y.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){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var 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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 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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}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=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},s=function(t,e,r){return t<e?e:t>r?r:t},l=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};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=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,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=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(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=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=[],y=e[0][0],m=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<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,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,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[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=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=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,y=i.create(),n.copy(y,_),y[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;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),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 — 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\"]);e.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},e.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},e.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},e.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}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,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}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(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=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,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=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,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 L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,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 u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,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=P.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 u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.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},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,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=z,n.vertexColor=this.vertexColor;var s=D;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 u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.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=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.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=A[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=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}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=A[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=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,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 B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(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 j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,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=z;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=O(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=A[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=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.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 u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[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],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.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))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(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 u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[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 v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,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,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,K),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.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)},L.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,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],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,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,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)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(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]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(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 function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(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 function(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=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=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])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;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 c=function(t,e){i.muls(t,e,255)};function f(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 h(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 p=h.prototype;function d(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 v(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 g(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=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{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 e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}if(g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s),g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var m=f.size,x=u.indexOf(o)<0;if(x&&u.push(o),v===l&&y)0===f.offset&&f.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data.subarray(f.offset,f.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data.subarray(f.offset,f.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var _=n(b,p,[p[2],p[2]*p[0],1]);v===t.FLOAT&&l===t.UNSIGNED_BYTE?c(_,f):i.assign(_,f),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,m)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},3056:function(t){\"use strict\";t.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error(\"gl-vao: Too many vertex attributes\");for(var i=0;i<r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,u=!!a.normalized,c=a.stride||0,f=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,u,c,f)}else{if(\"number\"==typeof a)t.vertexAttrib1f(i,a);else if(1===a.length)t.vertexAttrib1f(i,a[0]);else if(2===a.length)t.vertexAttrib2f(i,a[0],a[1]);else if(3===a.length)t.vertexAttrib3f(i,a[0],a[1],a[2]);else{if(4!==a.length)throw new Error(\"gl-vao: Invalid vertex attribute\");t.vertexAttrib4f(i,a[0],a[1],a[2],a[3])}t.disableVertexAttribArray(i)}}for(;i<n;++i)t.disableVertexAttribArray(i)}else for(t.bindBuffer(t.ARRAY_BUFFER,null),i=0;i<n;++i)t.disableVertexAttribArray(i)}},7220:function(t,e,r){\"use strict\";var n=r(3056);function i(t){this.gl=t,this._elements=null,this._attributes=null,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(){n(this.gl,this._elements,this._attributes)},i.prototype.update=function(t,e,r){this._elements=e,this._attributes=t,this._elementsType=r||this.gl.UNSIGNED_SHORT},i.prototype.dispose=function(){},i.prototype.unbind=function(){},i.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._elements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},t.exports=function(t){return new i(t)}},3778:function(t,e,r){\"use strict\";var n=r(3056);function i(t,e,r,n,i,a){this.location=t,this.dimension=e,this.a=r,this.b=n,this.c=i,this.d=a}function 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strict\";t.exports=function(t,e,r,n,i,a,o,s,l,u){var c=e+a+u;if(f>0){var f=Math.sqrt(c+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,u);f=Math.sqrt(2*h-c+1),e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}},7774:function(t,e,r){\"use strict\";t.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),c(r=[].slice.call(r,0,4),r);var i=new f(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&i.lookAt(0,t.eye,t.center,t.up),i};var n=r(8444),i=r(3012),a=r(5950),o=r(7437),s=r(567);function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function c(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=u(r,n,i,a);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=i/o,t[3]=a/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function f(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var h=f.prototype;h.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},h.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;c(e,e);var r=this.computedMatrix;a(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.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,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},Sr.prototype.outputDefined=function(){return!0},Sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Wt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.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,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Xt,Yt,Wt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Wt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+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 Bt(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&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?On(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(On)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?On(Cn(t[1],t.slice(2))):\"has\"===r?Pn(t[1]):\"!has\"===r?On(Pn(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function Pn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function On(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):Dn(t)}function Dn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(Dn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function zn(t,e){var 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$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new Dt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Pi=function(){return Mi},Oi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},Di=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 hi,this.transition={})};Di.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},Di.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Di.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 zi=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(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=ue.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};zi.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},zi.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new zi(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new zi(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.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},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(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},Fi.prototype.untransitioned=function(){for(var t=new Ni(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 Bi=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)};Bi.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 Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(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},Ni.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 ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new zi(this._values[t].property,null===e?void 0:w(e))},ji.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},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(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 Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.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 Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};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.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(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 Ui(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 Ui(this,{kind:\"constant\",value:s},e)}return new Ui(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}(Hi),Wi=function(t){this.specification=t};Wi.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 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Vi(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($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):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(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),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),_(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)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,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 Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=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},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(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:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.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},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new 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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}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);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._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}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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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}($i);Ma.prototype.size=48;var Sa=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 Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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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 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a 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instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.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,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.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(),u=Ys.types[this.type];function c(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];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(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=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(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($s,this,e),this.length=this._features.length}function $s(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){for(var e=null,r=t.readVarint()+t.pos;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 Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.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 Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=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 ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"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,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.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)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].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&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[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];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(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}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=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 i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(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],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(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),u=o.sub(i),c=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;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 cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;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.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"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,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.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)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,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,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.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 this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(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&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Pl(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Pl(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&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,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,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(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,u=0,c=t;u<c.length;u+=1)for(var f=c[u],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 f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.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*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.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)},su.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})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.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(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.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}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=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,O=null,I=null,D=Ll,z=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!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}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.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&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Du(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:D,tr:z,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(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 ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,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*u,16*c,256*f,256*h)}function lc(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 uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new za,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new za,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=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=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Pa,this.symbolInstances=new La},hc.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=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.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 he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Di(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Pi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=di(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,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 u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.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 v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.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))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.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},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.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 u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=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,O=b.sectionIndex,I=d.vertexLength,D=C[1];sc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.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))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.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,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);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)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.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))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.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)},hc.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},hc.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})},hc.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)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.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},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,dc)}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()||cn(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 hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.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=dc.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 he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=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}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.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 Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?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},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.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)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=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()})};Lc.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))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=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 Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Pc(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]}Cc.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=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.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 S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.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)}},Cc.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(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(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?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Oc=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]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.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 Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.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},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=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\")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Dc.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 Ic*Math.acos(Math.min(i,1))},Dc.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 Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Dc(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 zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(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)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(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)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.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},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(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 Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.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))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=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 k('\"'+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)]};Wc.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])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.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)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.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,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi(\"DEMData\",Wc);var Yc=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}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=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},Zc={geometry:{configurable:!0}};Zc.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},Zc.geometry.set=function(t){this._geometry=t},Xc.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(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.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]||{},p(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]},Kc.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}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},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},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.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]={}),p(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 u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(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 tf(t,e){return e-t}Jc.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 u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){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&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){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),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.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},Jc.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},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),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\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.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 hc){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 hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Pi()||Oi();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 Aa},ef.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\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.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 Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.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=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new Di(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Di(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(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}},ef.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)},ef.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)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.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},ef.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 rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=zt,t.EvaluationParameters=Di,t.Event=Dt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=Dc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=za,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(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},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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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++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(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=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(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 kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(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})}V.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 j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.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)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.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,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.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,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.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},V.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},V.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]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>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){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.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=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},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 object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{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,v=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 y(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(m(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(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;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]=+v}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?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(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,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.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=\"-transition\",T=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,w)?this._transitionable.setTransition(n.slice(0,-11),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),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.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]},k.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 u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.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],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.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],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.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 u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.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 A=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 M(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)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.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]},S.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 E=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=M(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 S(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.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},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),L=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=M(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 S(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),C=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}(L),P=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,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},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),O=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 u=i-r,c=a-n,f=Math.max(u,c),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,O.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 D=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,O.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,O.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 r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=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};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(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\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Pt.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()},Pt.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},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.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},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.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)},Pt.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))},Pt.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)},Pt.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)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=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 R[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 j(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(It).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(It).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(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].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,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.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)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(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(Dt(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 It(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 Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(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 Vt(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]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={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 Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(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 Xt(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 Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.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)||Gt(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&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=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:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.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(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.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},$t.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 Qt=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 te(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 ee(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 re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(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 ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,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,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.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)},Qt.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)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.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 u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+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},Qt.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 u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];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})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.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},Qt.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 u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(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 de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(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+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.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,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];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);z=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=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.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 u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}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 v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.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])},ve.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])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=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};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=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:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.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 Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(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)}Ae.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,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=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=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,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:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=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=m&&(x||!o.hasIconData()||y),A=x&&(m||!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 xe(!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,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=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&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);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,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);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 q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(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),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(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},Ae.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 u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.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)},Ae.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],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=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)},Ae.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)}},Ae.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\"),u=a.get(\"text-variable-anchor\"),c=\"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)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=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(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.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=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(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 y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.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},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(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*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=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=[]};Re.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 Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.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 Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=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)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/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)}},Ne.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,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.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},Ue.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 u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);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 Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.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]}},Ue.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 Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.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 qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=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!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,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(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(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=Vt(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 T(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,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=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()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}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(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));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._afterImageUpdated(e)},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._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),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 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 Ot(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(qe(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 required 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 u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];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 v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];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 u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[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]||[],u=n[a];u.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 c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.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 y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},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)&&qe(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={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],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 Fe(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 v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.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);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_r(\"#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;}\"),Ke=_r(\"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);}\"),Je=_r(\"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);}\"),$e=_r(\"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);}\"),Qe=_r(\"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);}\"),tr=_r(\"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;}\"),er=_r(\"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;}\"),rr=_r(\"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;}\"),nr=_r(\"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);}\"),ir=_r(\"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);}\"),ar=_r(\"#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);}\"),or=_r(\"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;}\"),sr=_r(\"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;}\"),lr=_r(\"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);}\"),ur=_r(\"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;}\"),cr=_r(\"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;}\"),fr=_r(\"#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 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 exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,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;}\"),hr=_r(\"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;}\"),pr=_r(\"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);}\"),dr=_r(\"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 vec2 v_uv;\\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,v_uv);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;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\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;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);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);}\"),vr=_r(\"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;}\"),gr=_r(\"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);}\"),yr=_r(\"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=_r(\"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));}\"),xr=_r(\"#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);}\"),br=_r(\"#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 _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?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())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.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=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(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]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=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 u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(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}},Dr=function(t,e,r){var n=ge(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}},zr=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]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=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\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(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]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.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:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=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:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(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 Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=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:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.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:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=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,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*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/ge(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})},rn={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_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),u_image_height:new t.Uniform1f(e,r.u_image_height)}},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 nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,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],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Kr||Kr.length<2*h)&&(Kr=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 z=l.createIndexBuffer(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=zr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,D=y||0!==v.pitch,z=e.useProgram(ln(O,a,L),P),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=D||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=O||e.options.rotating||e.options.zooming||H||D?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=O&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:z,buffers:C,uniformValues:O?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:O,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=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,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);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(v));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(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Or(S,t,v,x,E):Pr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(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,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.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-u,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 gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(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 An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+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,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,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)&&un(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)&&un(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&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(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 u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.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,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,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=Et.disabled,l=new Lt([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 u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,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){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,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(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))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var P=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var D=256;if(n.stepInterpolant){var z=r.getSource().maxzoom,R=b.canonical.z===z?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;D=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:D,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,P,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!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\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);fn(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 Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}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(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=vn(m,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),m.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-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.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,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(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(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.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()}},Sn.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,Xe.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,Xe.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,O.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,Xe.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 Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.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,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.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(Lt.disabled),r.setDepthMode(Mt.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,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.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 Et({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]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.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,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],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=c[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,c[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!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.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),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.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)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.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},Sn.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 u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.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},Sn.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 Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.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()},Sn.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)},Sn.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)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.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 En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.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 Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.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 u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=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};Cn.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},Cn.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)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=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 Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={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}};Pn.prototype.clone=function(){var t=new Pn(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},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.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))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.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())},On.fov.get=function(){return this._fov/Math.PI*180},On.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())},On.zoom.get=function(){return this._zoom},On.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())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.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)},Pn.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)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.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=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.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)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.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())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.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,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.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])},Pn.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)))},Pn.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},Pn.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])},Pn.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]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.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,u=this.size,c=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<u.y?u.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<u.x?u.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=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}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=c,this._constraining=!1}},Pn.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,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),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),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,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={}}},Pn.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},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.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 u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.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(Pn.prototype,On);var In=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})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.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(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),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+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},In.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(\"/\")},In.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},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(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)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.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=Un(r.pan.mag(),o,t.extend({},zn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(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 Vn=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),qn=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)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,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),Hn=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),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.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\"}}},Yn.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)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.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},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.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=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.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 Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.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 Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.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},Jn.prototype.touchcancel=function(){this.reset()},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 $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};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.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}(Qn),ei=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}(Qn),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._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}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}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}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.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]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=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(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}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.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:li(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=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}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.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,ci(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)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},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 ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.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 this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,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})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.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%vi==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()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.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())}},gi.prototype.renderFrame=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)>vi?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,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.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},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.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})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.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))},xi.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)},xi.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)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.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\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},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}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(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:!0}],[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],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.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)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.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},Mi.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),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.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)}},Mi.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],u=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,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=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){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,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,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.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)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,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(),u=\"zoom\"in e?+e.zoom:a,c=\"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),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));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(),u=this.getPadding(),c=\"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(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).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,c),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),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/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*D,d=1/O(i);a.zoom=1===e?c: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(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,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(!1)}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),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.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._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),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},Ei.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},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.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\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.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)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.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},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.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}},Li.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 Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.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)}},Ci.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},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"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\"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,Di=t.window.ImageBitmap,zi=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:zi,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},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,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>zi)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Pn(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 Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,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 Ii))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\",\"_onMapScroll\",\"_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),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(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 Ei({customAttribution:e.customAttribution})),this.addControl(new Li,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&&(r=e.getDefaultPosition?e.getDefaultPosition():\"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.hasControl=function(t){return this._controls.indexOf(t)>-1},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?zi:t)>zi)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 Vn(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 Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(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 Ye(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 Ye(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 Oi||Di&&r instanceof Di){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,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,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),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 Oi||Di&&r instanceof Di?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 Oi||Di&&r instanceof Di);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\"),this._canvas.setAttribute(\"role\",\"region\");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)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},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 Sn(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._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},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 u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}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)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),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(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(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}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,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))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.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},ji.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 Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.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},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({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 Vi(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}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.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)}},Ui.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()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.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)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.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))},Ui.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))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={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 Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){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._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!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 a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{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<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.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\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.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\"),v.appendChild(g);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 m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),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()})),Hi(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=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-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=Vi(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,qi[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){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(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._pointerdownPos=null,this._isDragging=!1,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._pointerdownPos=t.point,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),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,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){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},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,Xi=0,Zi=!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&&Zi)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 Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({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\":Xi--,Zi=!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\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!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),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.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},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=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\")};ea.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},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.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)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.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())},ea.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 ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),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._focusFirstElement(),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){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),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.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){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(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&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 e._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=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=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 Ft.workerCount},set workerCount(t){Ft.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 oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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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 / 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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 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(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 u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.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,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.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}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var D=this.counts[O],z=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=z.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=z.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else P[2*I+1]=.5*P[2*I];I++}this.textWidth.push(P.length?.5*P[2*I-2]+P[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.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),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],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,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}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 K=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(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+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={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(t,e){for(var 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 c=[];function f(t){var e=[u(t.region,!1)];c.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 u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.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 i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}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 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.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)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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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}}},11403:function(t){t.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},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(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 r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.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}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(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===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(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}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var 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]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(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=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.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:\"\\nprecision highp float;\\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:\"\\nprecision highp float;\\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:\"\\nprecision highp float;\\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\\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:\"\\nprecision highp float;\\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 * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},g.prototype.destroy=function(){return 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Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var 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 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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}\\n\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"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 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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\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.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},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.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},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],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(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.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,l=this.maxSize,f=this.maxColors,v=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=h(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=c({},x.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 m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,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,l=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=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(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=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({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 u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}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=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){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])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.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},x.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 s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(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[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.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)}},x.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 b=r(50896);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(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}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);function c(t,e){if(!(this instanceof c))return new c(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]}t.exports=c,c.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)},c.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,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.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 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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(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],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 v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;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:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}: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],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-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},c.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 u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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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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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var 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},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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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 this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},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 t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var 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 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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},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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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},65616:function(t,e,r){var n=r(38700),i=r(50896);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 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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 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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},73040:function(t,e,r){var n=r(38700),i=r(50896);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 u=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(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,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 u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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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);return t=this._t2gYear(i.year()),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);return t=this._t2gYear(i.year()),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},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),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);return t=this._t2gYear(i.year()),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},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);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(u.local.invalidDate||u.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(u.local.invalidDate||u.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(u.local.differentCalendars||u.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,u.local.invalidDate||u.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,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.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,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.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,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.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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n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},15168:function(t,e,r){var n=r(50896),i=r(38700);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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+       "        });\n",
+       "        require(['plotly'], function(Plotly) {\n",
+       "            window._Plotly = Plotly;\n",
+       "        });\n",
+       "        }\n",
+       "        </script>\n",
+       "        "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# std lib\n",
+    "from getpass import getpass\n",
+    "\n",
+    "# 3rd party\n",
+    "import numpy as np\n",
+    "import matplotlib\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.patches as patches\n",
+    "from scipy.stats import binned_statistic_2d\n",
+    "%matplotlib inline\n",
+    "from astropy.table import Table\n",
+    "from astropy.cosmology import Planck18 as cosmo\n",
+    "import plotly\n",
+    "import plotly.graph_objs as go\n",
+    "import pandas as pd\n",
+    "plotly.offline.init_notebook_mode()\n",
+    "\n",
+    "# Data Lab\n",
+    "from dl import queryClient as qc\n",
+    "from dl import authClient as ac\n",
+    "\n",
+    "# SPARCL\n",
+    "from sparcl.client import SparclClient\n",
+    "\n",
+    "# Instantiate SPARCL client\n",
+    "client = SparclClient()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Authentication\n",
+    "Much of the functionality of Data Lab can be accessed without explicitly logging in (the service then uses an anonymous login). But some capacities, for instance saving the results of your queries to your virtual storage space, require a login (i.e. you will need a registered user account).\n",
+    "\n",
+    "If you need to log in to Data Lab, un-comment the cell below and execute it:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-23T04:47:15.627459Z",
+     "iopub.status.busy": "2025-07-23T04:47:15.627186Z",
+     "iopub.status.idle": "2025-07-23T04:47:15.630281Z",
+     "shell.execute_reply": "2025-07-23T04:47:15.629913Z",
+     "shell.execute_reply.started": "2025-07-23T04:47:15.627444Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "#token = ac.login(input(\"Enter user name: (+ENTER) \"),getpass(\"Enter password: (+ENTER) \"))\n",
+    "ac.whoAmI()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a class=\"anchor\" id=\"query\"></a>\n",
+    "# Query LS Tractor Photometry Catalog\n",
+    "\n",
+    "The photometry is derived from Tractor modeling of sources, and the database includes model photometry, type (shape), as well as other quantities. \n",
+    "\n",
+    "The Legacy Survey DR10 database is called **ls_dr10** and includes several tables. We will use the **tractor** table together with the positional crossmatched table with specObj table from SDSS/BOSS DR17. The column names and descriptions can be found directly in a notebook with `qc.schema()` or from the [Data Lab Query Interface](https://datalab.noirlab.edu/query.php) or using the Table Access Protocol (TAP) service with a compatible tool such as TOPCAT.\n",
+    "\n",
+    "The SDSS DR17 database is called **sdss_dr17** and also includes several tables. We will use the **specobj** table, which has spectroscopic information."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-24T00:48:51.201094Z",
+     "iopub.status.busy": "2025-07-24T00:48:51.200741Z",
+     "iopub.status.idle": "2025-07-24T00:48:51.305791Z",
+     "shell.execute_reply": "2025-07-24T00:48:51.305263Z",
+     "shell.execute_reply.started": "2025-07-24T00:48:51.201079Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "nrows\n",
+      "3147090432\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# number of rows from LS DR10 tractor (NOTE: tractor is the main photometry table):\n",
+    "query=\"SELECT nrows FROM tbl_stat WHERE schema='ls_dr10' and tbl_name='tractor'\"\n",
+    "\n",
+    "# Call query manager\n",
+    "response = qc.query(sql=query, fmt='csv')\n",
+    "\n",
+    "print(response)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-24T00:49:04.848604Z",
+     "iopub.status.busy": "2025-07-24T00:49:04.848368Z",
+     "iopub.status.idle": "2025-07-24T00:49:05.018318Z",
+     "shell.execute_reply": "2025-07-24T00:49:05.017774Z",
+     "shell.execute_reply.started": "2025-07-24T00:49:04.848591Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "count\n",
+      "5112724\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# number of rows from SDSS specObj DR17:\n",
+    "query=\"SELECT count(*) FROM sdss_dr17.specobj\"\n",
+    "\n",
+    "# Call query manager\n",
+    "response = qc.query(sql=query, fmt='csv')\n",
+    "\n",
+    "print(response)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Print columns for the LS DR10 Tractor table\n",
+    "print(qc.schema('ls_dr10.tractor'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Joint query to SDSS DR17 & LS DR10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-24T00:49:19.526242Z",
+     "iopub.status.busy": "2025-07-24T00:49:19.525989Z",
+     "iopub.status.idle": "2025-07-24T00:49:19.529451Z",
+     "shell.execute_reply": "2025-07-24T00:49:19.528994Z",
+     "shell.execute_reply.started": "2025-07-24T00:49:19.526226Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Define a region of interest\n",
+    "ra_min = 183.5\n",
+    "ra_max = 187.\n",
+    "dec_min = 4.\n",
+    "dec_max = 6.5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-24T00:49:30.987817Z",
+     "iopub.status.busy": "2025-07-24T00:49:30.987563Z",
+     "iopub.status.idle": "2025-07-24T00:49:30.992034Z",
+     "shell.execute_reply": "2025-07-24T00:49:30.991567Z",
+     "shell.execute_reply.started": "2025-07-24T00:49:30.987802Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "  SELECT L.ra, L.dec, L.type, L.sersic, L.g_r, L.r_z,\n",
+      "         S.z, S.ra as plug_ra, S.dec as plug_dec, S.class \n",
+      "  FROM sdss_dr17.specobj AS S \n",
+      "  JOIN ls_dr10.x1p5__tractor__sdss_dr17__specobj AS X ON S.specobjid=X.id2\n",
+      "  JOIN ls_dr10.tractor AS L ON X.id1=L.ls_id\n",
+      "  WHERE S.z>0.001 AND S.ra BETWEEN 183.5 AND 187.0 AND S.dec BETWEEN 4.0 AND 6.5  \n",
+      "  LIMIT 100000\n",
+      "  \n"
+     ]
+    }
+   ],
+   "source": [
+    "# ls_dr10.tractor                            # LS DR10 tractor photometry\n",
+    "# ls_dr10.x1p5__tractor__sdss_dr17__specobj  # LS DR10 pre-crossmatched to SDSS DR17 specobj\n",
+    "# sdss_dr17.specobj                          # SDSS DR17 specobj\n",
+    "\n",
+    "# Write query statement (sql)\n",
+    "query = (\"\"\"\n",
+    "  SELECT L.ra, L.dec, L.type, L.sersic, L.g_r, L.r_z,\n",
+    "         S.z, S.ra as plug_ra, S.dec as plug_dec, S.class \n",
+    "  FROM sdss_dr17.specobj AS S \n",
+    "  JOIN ls_dr10.x1p5__tractor__sdss_dr17__specobj AS X ON S.specobjid=X.id2\n",
+    "  JOIN ls_dr10.tractor AS L ON X.id1=L.ls_id\n",
+    "  WHERE S.z>0.001 AND S.ra BETWEEN %s AND %s AND S.dec BETWEEN %s AND %s  \n",
+    "  LIMIT 100000\n",
+    "  \"\"\") % (ra_min, ra_max, dec_min, dec_max)  # small region\n",
+    "\n",
+    "# L.ra, L.dec        = RA, Dec from Legacy Survey (LS) table    \n",
+    "# L.type             = object type (PSF, SIMP, EXP, DEV, COMP)\n",
+    "# L.g_r, L.r_z       = pre-computed g-r and r-z colors from photometry\n",
+    "# S.z                = redshift (z) from SDSS specObj table\n",
+    "# S.plug_ra, dec     = RA, Dec of SDSS fiber from specObj table\n",
+    "# S.class            = Source class (Star, Galaxy, QSO) from SDSS\n",
+    "#\n",
+    "# WHERE: requirement that RA & Dec coordinates are within a rectangular region\n",
+    "\n",
+    "print(query)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-24T00:49:32.609500Z",
+     "iopub.status.busy": "2025-07-24T00:49:32.609280Z",
+     "iopub.status.idle": "2025-07-24T00:49:33.294880Z",
+     "shell.execute_reply": "2025-07-24T00:49:33.294347Z",
+     "shell.execute_reply.started": "2025-07-24T00:49:32.609488Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Call query client and save output as Astropy Table\n",
+    "result = qc.query(sql=query, fmt='table')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-24T00:49:40.728141Z",
+     "iopub.status.busy": "2025-07-24T00:49:40.727775Z",
+     "iopub.status.idle": "2025-07-24T00:49:40.734332Z",
+     "shell.execute_reply": "2025-07-24T00:49:40.733879Z",
+     "shell.execute_reply.started": "2025-07-24T00:49:40.728126Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2828\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=5</i>\n",
+       "<table id=\"table140411074581872\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>ra</th><th>dec</th><th>type</th><th>sersic</th><th>g_r</th><th>r_z</th><th>z</th><th>plug_ra</th><th>plug_dec</th><th>class</th></tr></thead>\n",
+       "<thead><tr><th>float64</th><th>float64</th><th>str3</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>str6</th></tr></thead>\n",
+       "<tr><td>183.5193153245729</td><td>4.021114232905463</td><td>SER</td><td>5.719946</td><td>1.6022263</td><td>1.0993805</td><td>0.56163096</td><td>183.51934000000006</td><td>4.0210901</td><td>QSO</td></tr>\n",
+       "<tr><td>183.5183243084051</td><td>4.165334756346772</td><td>SER</td><td>6.0</td><td>1.8272362</td><td>0.9051895</td><td>0.3836634</td><td>183.51832</td><td>4.1653184</td><td>GALAXY</td></tr>\n",
+       "<tr><td>183.5478421049042</td><td>4.127604019320084</td><td>SER</td><td>6.0</td><td>1.2421112</td><td>0.73801804</td><td>0.20234974</td><td>183.54785</td><td>4.1276005</td><td>GALAXY</td></tr>\n",
+       "<tr><td>183.5463606761662</td><td>4.382679042680691</td><td>SER</td><td>1.5993736</td><td>1.0591755</td><td>0.73179436</td><td>0.12516902</td><td>183.54634</td><td>4.3826877</td><td>GALAXY</td></tr>\n",
+       "<tr><td>183.5056592496513</td><td>4.489654306381941</td><td>SER</td><td>1.0896887</td><td>0.54040146</td><td>0.42155266</td><td>0.08439589</td><td>183.50563</td><td>4.4896397</td><td>GALAXY</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=5>\n",
+       "        ra               dec        type ...      plug_ra        plug_dec class \n",
+       "     float64           float64      str3 ...      float64        float64   str6 \n",
+       "----------------- ----------------- ---- ... ------------------ --------- ------\n",
+       "183.5193153245729 4.021114232905463  SER ... 183.51934000000006 4.0210901    QSO\n",
+       "183.5183243084051 4.165334756346772  SER ...          183.51832 4.1653184 GALAXY\n",
+       "183.5478421049042 4.127604019320084  SER ...          183.54785 4.1276005 GALAXY\n",
+       "183.5463606761662 4.382679042680691  SER ...          183.54634 4.3826877 GALAXY\n",
+       "183.5056592496513 4.489654306381941  SER ...          183.50563 4.4896397 GALAXY"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Print length of table (Nb of rows) and the first 5 rows\n",
+    "print(len(result))\n",
+    "result[:5]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Query DESI DR1 for the same region"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-24T00:49:58.150105Z",
+     "iopub.status.busy": "2025-07-24T00:49:58.149815Z",
+     "iopub.status.idle": "2025-07-24T00:49:58.153715Z",
+     "shell.execute_reply": "2025-07-24T00:49:58.153228Z",
+     "shell.execute_reply.started": "2025-07-24T00:49:58.150091Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "  SELECT mean_fiber_ra AS ra, mean_fiber_dec AS dec, spectype, z, zwarn \n",
+      "  FROM desi_dr1.zpix  \n",
+      "  WHERE z>0.001 AND mean_fiber_ra BETWEEN 183.5 AND 187.0 AND mean_fiber_dec BETWEEN 4.0 AND 6.5  \n",
+      "  LIMIT 100000\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Write query statement (sql)\n",
+    "query_desi = (f\"\"\"\n",
+    "  SELECT mean_fiber_ra AS ra, mean_fiber_dec AS dec, spectype, z, zwarn \n",
+    "  FROM desi_dr1.zpix  \n",
+    "  WHERE z>0.001 AND mean_fiber_ra BETWEEN {ra_min} AND {ra_max} AND mean_fiber_dec BETWEEN {dec_min} AND {dec_max}  \n",
+    "  LIMIT 100000\"\"\")\n",
+    "\n",
+    "print(query_desi)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-24T00:50:02.612254Z",
+     "iopub.status.busy": "2025-07-24T00:50:02.612027Z",
+     "iopub.status.idle": "2025-07-24T00:50:02.956254Z",
+     "shell.execute_reply": "2025-07-24T00:50:02.955298Z",
+     "shell.execute_reply.started": "2025-07-24T00:50:02.612242Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Call query client and save output as Astropy Table\n",
+    "result_desi = qc.query(sql=query_desi, fmt='table')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-24T00:50:04.946271Z",
+     "iopub.status.busy": "2025-07-24T00:50:04.945923Z",
+     "iopub.status.idle": "2025-07-24T00:50:04.953265Z",
+     "shell.execute_reply": "2025-07-24T00:50:04.952466Z",
+     "shell.execute_reply.started": "2025-07-24T00:50:04.946253Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "20266\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=5</i>\n",
+       "<table id=\"table140404825267920\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>ra</th><th>dec</th><th>spectype</th><th>z</th><th>zwarn</th></tr></thead>\n",
+       "<thead><tr><th>float64</th><th>float64</th><th>str6</th><th>float64</th><th>int64</th></tr></thead>\n",
+       "<tr><td>183.5342214647314</td><td>4.003429959562572</td><td>GALAXY</td><td>0.8599421790760448</td><td>0</td></tr>\n",
+       "<tr><td>183.5484746439997</td><td>4.00048558742625</td><td>GALAXY</td><td>0.2851381730104105</td><td>4</td></tr>\n",
+       "<tr><td>183.5193344064835</td><td>4.021108317087539</td><td>QSO</td><td>0.562223724548127</td><td>0</td></tr>\n",
+       "<tr><td>183.5083016427592</td><td>4.035435554037171</td><td>GALAXY</td><td>0.7761237323458898</td><td>0</td></tr>\n",
+       "<tr><td>183.5068654953002</td><td>4.040455521752597</td><td>GALAXY</td><td>1.52700469054179</td><td>0</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=5>\n",
+       "        ra               dec        spectype         z          zwarn\n",
+       "     float64           float64        str6        float64       int64\n",
+       "----------------- ----------------- -------- ------------------ -----\n",
+       "183.5342214647314 4.003429959562572   GALAXY 0.8599421790760448     0\n",
+       "183.5484746439997  4.00048558742625   GALAXY 0.2851381730104105     4\n",
+       "183.5193344064835 4.021108317087539      QSO  0.562223724548127     0\n",
+       "183.5083016427592 4.035435554037171   GALAXY 0.7761237323458898     0\n",
+       "183.5068654953002 4.040455521752597   GALAXY   1.52700469054179     0"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Print length of table (Nb of rows) and the first 5 rows\n",
+    "print(len(result_desi))\n",
+    "result_desi[:5]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a class=\"anchor\" id=\"plots\"></a>\n",
+    "# Plot Results\n",
+    "\n",
+    "## Start with redshift distribution to find overdensities"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-24T00:53:40.455484Z",
+     "iopub.status.busy": "2025-07-24T00:53:40.454887Z",
+     "iopub.status.idle": "2025-07-24T00:53:40.800184Z",
+     "shell.execute_reply": "2025-07-24T00:53:40.799557Z",
+     "shell.execute_reply.started": "2025-07-24T00:53:40.455462Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x650 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 6.5))\n",
+    "ax1.hist(result['z'],bins=120,range=(0,0.2),alpha=0.6, label='SDSS')\n",
+    "ax1.hist(result_desi['z'],bins=120,range=(0,0.2),histtype='step',color='k',lw=2, label='DESI')\n",
+    "ax1.axvline(0.072, color='r', ls='--')\n",
+    "ax1.axvline(0.082, color='r', ls='--')\n",
+    "# option 2\n",
+    "ax1.axvline(0.097, color='r', ls='--')\n",
+    "ax1.axvline(0.105, color='r', ls='--')\n",
+    "ax1.legend()\n",
+    "ax1.set_xlabel('redshift')\n",
+    "\n",
+    "ax2.hist(result['z'],bins=80,range=(0.2,1.6),alpha=0.6)\n",
+    "ax2.hist(result_desi['z'],bins=80,range=(0.2,1.6),histtype='step',color='k',lw=2)\n",
+    "ax2.set_xlim(0.2,1.6)\n",
+    "ax2.axvline(0.48, color='r', ls='--')\n",
+    "ax2.axvline(0.53, color='r', ls='--')\n",
+    "ax2.axvline(0.87, color='r', ls='--')\n",
+    "ax2.axvline(0.9, color='r', ls='--')\n",
+    "ax2.set_xlabel('redshift')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visual Inspection of Large-Scale Structures\n",
+    "\n",
+    "Plot the positions of a broad range of redshift, and overplot a thin slice in redshift to show possible structures within that slice."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-24T00:53:52.360040Z",
+     "iopub.status.busy": "2025-07-24T00:53:52.359793Z",
+     "iopub.status.idle": "2025-07-24T00:53:52.645133Z",
+     "shell.execute_reply": "2025-07-24T00:53:52.644656Z",
+     "shell.execute_reply.started": "2025-07-24T00:53:52.360026Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x650 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Select redshift slice 0.1-0.11\n",
+    "#zmin = 0.072  ## testing, need to clean up when we're done\n",
+    "#zmax = 0.082\n",
+    "#zmin = 0.485\n",
+    "#zmax = 0.53\n",
+    "#zmin = 0.87\n",
+    "#zmax = 0.9\n",
+    "zmin = 0.097\n",
+    "zmax = 0.105\n",
+    "rz = (result['z'] >zmin) & (result['z']<zmax)\n",
+    "rz_desi = (result_desi['z'] >zmin) & (result_desi['z']<zmax)\n",
+    "\n",
+    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 6.5))\n",
+    "\n",
+    "# plot all points in red (all redshifts)\n",
+    "ax1.scatter(result['plug_ra'],result['plug_dec'],s=3,color='r',marker='o',alpha=0.25)\n",
+    "\n",
+    "# overplot in blue objects in narrow redshift slice\n",
+    "ax1.scatter(result['plug_ra'][rz],result['plug_dec'][rz],s=10,color='black')\n",
+    "\n",
+    "# Extent of RA, Dec (in degrees) to plot\n",
+    "xmin = ra_min\n",
+    "xmax = ra_max\n",
+    "ymin = dec_min\n",
+    "ymax = dec_max\n",
+    "\n",
+    "ax1.axis([xmin, xmax, ymin, ymax])\n",
+    "ax1.set_xlim(reversed(ax1.set_xlim())) # flip the x-axis\n",
+    "ax1.set_xlabel(\"RA (degrees)\", fontsize=16)\n",
+    "ax1.set_ylabel(\"Dec (degrees)\", fontsize=16)\n",
+    "\n",
+    "# add rectangle to show where we zoom in next panel\n",
+    "ax1.add_patch(patches.Rectangle((185.35-0.25, 5.0-0.13),0.5,0.26,fill=False,color='b'))\n",
+    "\n",
+    "\n",
+    "## DESI Version\n",
+    "\n",
+    "# plot all points in red (all redshifts)\n",
+    "#ax2.scatter(result['plug_ra'],result['plug_dec'],s=15,color='r',marker='o',alpha=0.3)\n",
+    "ax2.scatter(result_desi['ra'],result_desi['dec'],s=2,color='r',marker='o',alpha=0.2)\n",
+    "\n",
+    "# overplot in blue objects in narrow redshift slice\n",
+    "#ax2.scatter(result['plug_ra'][rz],result['plug_dec'][rz],s=30,color='black')\n",
+    "ax2.scatter(result_desi['ra'][rz_desi],result_desi['dec'][rz_desi],s=10,color='k',marker='o')\n",
+    "ax2.scatter(result['plug_ra'][rz],result['plug_dec'][rz],s=20,color='b',marker='x', alpha=0.6)\n",
+    "\n",
+    "# Extent of RA, Dec (in degrees) to plot\n",
+    "#xmin = 185\n",
+    "#xmax = 186.\n",
+    "#ymin = 4.3\n",
+    "#ymax = 5.7\n",
+    "## cluster at z=0.87-0.9\n",
+    "#xmin = 183.8\n",
+    "#xmax = 185.\n",
+    "#ymin = 6\n",
+    "#ymax = 6.9\n",
+    "## cluster/filament at z=\n",
+    "#xmin = 183.5\n",
+    "#xmax = 185.\n",
+    "#ymin = 4.3\n",
+    "#ymax = 5.5\n",
+    "\n",
+    "ax2.axis([xmin, xmax, ymin, ymax])\n",
+    "ax2.set_xlim(reversed(ax2.set_xlim())) # flip the x-axis\n",
+    "ax2.set_xlabel(\"RA (degrees)\", fontsize=16)\n",
+    "ax2.set_ylabel(\"Dec (degrees)\", fontsize=16)\n",
+    "\n",
+    "# add rectangle to show where we zoom in next panel\n",
+    "ax2.add_patch(patches.Rectangle((185.35-0.25, 5.0-0.13),0.5,0.26,fill=False,color='b'))\n",
+    "\n",
+    "ax1.set_title('SDSS', fontsize=20)\n",
+    "ax2.set_title('DESI', fontsize=20)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Above, the left-hand panel shows a thin redshift slice (0.095 < *z* < 0.105, black symbols) among objects with redshifts from the spectroscopic SDSS DR17 sample (red symbols). We can see by eye some large-scale filamentary structures and overdensities. The right-hand panel shows the same region but with DESI redshifts.\n",
+    "\n",
+    "The blue rectangle shows a selected region where we zoom in below to display color images."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-23T04:45:23.693523Z",
+     "iopub.status.busy": "2025-07-23T04:45:23.693300Z",
+     "iopub.status.idle": "2025-07-23T04:45:24.621185Z",
+     "shell.execute_reply": "2025-07-23T04:45:24.620685Z",
+     "shell.execute_reply.started": "2025-07-23T04:45:23.693508Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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AbDPuzfGTgSL8y5JVKVIe7F2Wwm7cWkImRpapClNeke59hGOtXHvtiDubibEWI8MkI6oUtb3VqtwkI9u0hntERMwPNALM7MuIFCcDHfznLOQhsRgGlsOSBx98iJPTE165/poBecchgpKHbO+hVJLkjjUEtBQDsCmIOvOR4vaLJ1txP+L7KJnR4TQRNLVBdd/ZjaBMSqmRtHjy3ti7DmgjvtTdzit+wkKSVUQpFldK7Ri0YqC1EWD2/y5cOOTt73g7L7/8KtdeeI7NZA9gpiC9WuT2lN0eazUMKCJWUVdFPb7G71iVTtiu14xbI3wXQ2bUyuCxdJomSvE457FORFguF3bbxvx6wh8Enhje1CAIzG+ZvVbf39njmcXM7Ci2FNAkrlyxCmKq5ouN7ZdmY0GKvp7rdYP45XKfaZoYJ5OVJLENk5xdi03bsIln4q0EG8xFAOz4Hf+7+POUPesyRN+ATfHNkYI6DrA5OguYQ8Yg8dstcxKvEjQ23wG21srESK3BnJtDE000HYSDXstIO0hvm8QZkciyB09ORIQ62cYbltmDIOS8oJRGIQHKVCq3b95hGAYztrywtayVislTIluOZ9CZ9MeAeQ+AUWpPOVsQCMdZLGAy+z0L/A6eRKjFWPBgg1vlwNfWcoOQLWSGYbDN7pWItj6+IYLlmZyVFMmUIpxUYbp9QqUyqbBIA/fec5XNes3tGzfsXauideL27ZtmRy7BqVqpU2U9FWON8wCIMeIJ/87EbjR7tVfYS8RIlPYcYGqFIi1Da0ACcxgWxD3bDtYNuw/av3twzhnBmKmGFhRfYwuWluFbuVL97wIkooq6ZMyWMnlGbw6Y+Xuv3VHa2vpra9Ut24OKJQaRDKqzZ9nBSwTYDtHCsVslzORqvufEWBLxvw9bMCRgSzgMtv4VZRgGpjK1j23JXhYmLSSxPTOOs5K+Ggun7bnEikG1JwWx9mFjNWwuZbRiUoZiz7bwfbnbjkzTZMxxEhaLgZQS41SpzjxGkCylnHGisdcjsRNJHuhs0UsdKbXbfa0uIcDWPZhNwgchJLLBSrUgK5pYLAYOL17k6v338uDDb+TKgZDrjuee+xRPPvkkH/nwh7l964YBSS0NmlnVL3XAE0BWEpBN1jaz1wbM3VeG3wK4cPEitVbW6zXa1iR7MjahCkPYjipDNkLC3kmXFIDZ264UC4YhyfNArZHAB1BA2vep1M481p7oVa2fFlPsv7UxsZFrxD5TqlcQncWUDg5q2w9KdTav1AxMaC0GRtzWS7ChEr7TXnjKnqSHz9PkcSFy7dhf0vacSfqApJaQ1UytmURGp5Ehw9VLKx577BE+/slPcedkpGhtlQOTj0EespM0E1OtZBJVMv/6qRd5+fa/4NqtdbM9lYR6nKjaq3tVbT9YwTWqUeoJhvms5Fma+SoIBFvq2fchXs+z8G1+K+dMSvQYQHKJRZANkNJw5p2l5EBw5pIC2OXB4w74fq5IdR9ZHGy7X1KXqhRNrPYyslxQS2WHsKvqVUNPdiO2isuI1Ksh/v6q3zuzJCP2UMhsBlEOVyv2D1YcHd3h6M4ddtPEYrFktVoxTiNjMSxTW+LVqAMne7onVidGRBSktvjf/z7urbpdG0FUxjqzOyMpFEWz7dnkwF/cZ4eKwnIjaYRF2G8NFrMG5qvt/qoW6rgFXGbrlRKzV6ssWP6gDQAKSk6J++69l9OTU15OiVLGWcVv9uJ9nXOyhERUWrV2HMe2j2Ntcja5ohZtVfXw38nXO/CbhNIi4i80Ylbr5M9p94rWtmfCV4ElQlbFdCKtVg8LYS2JLImMMmplGoux9aRu/8PCyavSCeCZ+f9G1+sG8aWa5l01mKYZCHcJR5TEqoM/mJX3Vb2UEXqk2l66BT0z3vaCZiVKgHE0rVMzAg2wfJa9Cd1oSglJxhSXUthuTVMaLyjso9QKmjo4xg26OuvqGVoPAB4kxX6uzBjDlBLJNYMhRYnsN0rC9ki1AWJ/qFmpFw7391kNAyenJ9RkwSs0wgLdoUL7ndSMnRZA3E+2hzUWVNp3tuzd7h6I94CxK1pNPkEyYI/r+P3ec4LLly+x3e44OTmxZ/PkqDmXUhkZ/d0nl5IkNgl2tZIFsgpZsf/lTM7GsgfTFv9MOXnC4GyIQhVaNt5AM8nLkLNqBb3qAJz58+qlLMQ1lnO7L9bzEQEaCVDc2amcMxUxNqhWkpc+JLJ2McavVnUttGO/lFqFJc2AskgEwV7KnOuU2xud2UBjVcXWHA/GZ8rUGjbmIgZPKkKmg++n6s67s69CVNCQKFcWGi02v58A1ylBtfcmxe5dUk+iw26Xe/vcc++9XH/lVaZx9N+3/TEMC0TEArWGpKd674GtdwNTCJITpRpgzDgjLCF1KkxlNCBaKtdefpmUE1OpFHUmEM4Ckpkt9ADgGtTawWVy/xGJX9hisKyJTBoMcEzRIzM4GhRILrkQrFI1TiNalcPDAx597DIP3X+RBx66yrBInJycstuOnIxH1Grv15I58cqSRiZngdPz8Zwy0xRsokv/IqBBA6K1FG7dusU47ghpSbBf4V/Q7ndyyKuq9TpQLTlMeWC1vweqrE9O2/dlt6eUlKlMZldqlZwULJXfo/hGCZtEsD6jWhro6PIYcRbUGWvXTs+JBO7a/xGIIwkIUJmqIkxkgUGjGuNxJnUm3wI6kbk1uw5pgnriLfGzOZ39zgibEWdUrCdIIKNcuXTA297yGC++/DJH69H2tNjPO0HtgNjIGXXfM2ni+qZy9PIp1eglshaKKiQxSaxWq1B6ohcVp0jCDLBWkmazeeKhixM+eiahAgPdc2ml9YRNHnfDV5gB2Vq4VCeZFK7UAkUbIaLSpaKlFFIW9vf3ePvb385jjz3G008/zVNPPcV6vW5SsKgoEITJDBCebjZ89GOfQCTbHnMQV0qxajOZVlWrwdA2yEFU3g8PL3C6OWUcXedeveolMGTh4GDFpQuHnBzfYbPdWj9DVaZSuHXnyPwM/u7x+5wRB7GGIck1J2P2Xv2XsicdpVhVK5Km8D2B00Syy7N87aX6u7CkVTSS58Bj4nGvNv+EMCPztMlPlE5khRIi/GDyilxIoazwoy0G16ocHx3xc+/5OauAFVdeBH8UuKbFDNjb32N/ueLk5ITdNNmeq1YVmVcLGwj3pYv9Fv+sauqC8OvS/L6trUlQ3W+0+GYkiMX8Yusb+36GvcJ+QlxTpVoUdzummp9WmUCMIMzssch7TDJRJ20EUZd0/cbX6wfxRb1ZaNZoN8sKbTN2sDTkoWllBayRJ6UGAua/20CWg6VoNItkYN6INU1TK+PG78b/ip4tqUQ2Hr/bXm5jITLNN6mXPvzdRLUxwLH6nyGccdA6u4eqlc1ue4bhintv61Wt6S+l1JiJlFIDJNk3c00GUiqCZkFdKqNVTYsFXaIQwUk6QJLUs+ksmUhvc86Iuu7LjUWgAeUhR8ZZDAYqFmjdQA2IegMnsN1sWnUm1n4Og0Peoc5oJFwnmaAMmb3Vkj1NTOPE0a2bTCosFyu2NZg4M35x+yoOWIqELltaohZNThrIxZ1v9QZZK//GRutJWby7boedqYsegwC8U1ErrybXuDnDINlLlw7bhpzJeck4jk2bmzxghkNpbK+IM960xM/dQl9H1RbwZ5lXt6twWFVn9haf4bpBre5E+34Ke6n+d7FmSYJNFA+KofU0VgUJ8NGTT1uv7M1ztraRVIs3MPaE3hqCpmnizp07jGUikq7WqFknL03ahxfXtZkm2AOuV8KWeWBYLTg+9SasnCkuUSpajd1cDGgxGy5VmdRKv0iUOM8md21vOtsY9h/P2llq91e1J085ZWNdvYpWWhLurJAIk0dykf6uSqkcHZ3w6ssvcf8DD7J7+BCRFYvlIffd9wYeeOANvPDcS6xP1midmPdmVO85MVY+kkxYLgZWqz3WmzWT2yMO5OM9jWOxfUNlt9ucYbbOyGhUm/zE3kWQEnj1RJsNHezvW5Vlu2McR6wqkS1IqjJ4xJYW8tTXymSHfQCCeeKqFdGQJtn7ar6e7l81nW3eXa4WqKr1UtWQ8QTNEey/tP1TtLBaDNx/9QqXLl7m+PiEW7fusNltKEy+LaX5hlJKJylwnxAlfzrb7zfs3+WyvOil8kWrakMCisKLL1/nznv+JUebkcOLh6gm1usNIOSwG6olTwLLIaF1oqaBda2Mk5DU9PThe6aqjLudrVVxQOPyvawgOZ1ZmwBwtsYB8js3NI+/tVSTCEnE7J78dDZUmoxJ1WOcll4N9+Qf6XLXlKxpUQUuXrzI7/29v5d3v/vd/J2/83d47rnn2G4dBDbNvSdsBDFi/m2clHGqWEeQS0dc7hisVwPO/r4MSM5xQ2W321rTYnV/lqwqBjAsl0xaufbqK2zHiQnQZFXJMk1OsJjfSo1Q7LbfcVHsOWkJTFQJAsCf2Zdi5FqA7upZnmiAytk+rhavcnJcQN8PVg31SBY9WXj1OGyF/vkN6Mf+Uxh3U5d41kKQG81ozOzRYkA+5dQUFkGmtL4uxzqr5Yq9vZVLYIwhXy4WQGK73TU5VlNZ3BUjwwaDtIhnDpuuzp5nrK9psViwWizZbtaM48iQu1IjXpnGEliWSzDveRgcq4V0G0ax/qeBgSyQ0mh7VTJalLKeqLk0OwMaxvrNrtcP4idriIjpGrEg8e8pCaEbWwwLDvYPOT4+ZtyN/XfceGJRA8ScDRQtfXKGxplKB4c5W/AOaURkV82ZpG7YxnYk19+HHtIBQTFta3ulbkSqrlf27wzWqWrFEWC7165F6wbTEoQobRESF9dvzmQ99gs0Ri8YkM1uyzTuKFiToCNYd7jGmoU+rn0nNDlHfzcdwFki5SBDaIAtmGfLoi3gW8k0sxu34cV8Q/XnV3cuxyenPftO0QrTGc22WTTARfWJEcLehQvcf+Uqm5t3SKrsamW52OPChUu88srLpGQNyJvd9kwgDM1cAAfAm3Dsn1W1lVclu0a/xnuPSoMF/MUwNFB59+afV5EgPkIbo5xzIidrtE6f5sy0Afj43OZIbOHdf4Z0p1eC7LVFgOsSknCg8/szwBDluw4s2x5w3XEebIWGnM9ICEzLP8/47d10B2J2ZEAtEgm7yebPZom8Br00+/MW4Gf+woo8iTJOHE9H/avCVryD2ibe9MS0/V/r/1BEbH5HkgWk7I50AWmwBG+zpTIxLLMFzim1Po5IQIJFubtS03/mrDbcmuOdTZ+vXoC1WkkLa4Idx5F4JSKJw8MDhsWK20cn9t6d1ZcEpAXHd4547pPPcPHgEkPZcv3FW5yenHJ8dMKQV9aU7xMswCdPAZKU1d4SEWGz2RHAN2mxgNG0212eF/9u79gAQqxFvLu77S2Y2/Yu5zYZSVopHN2+Y4RMKYhizJxrZUV7Sds+05LkXinyACvWZG/JSvQm6JkAZ5W/nriGXZs8Udhb7VFqsX6clsQGo64tsZ2z9dHUmYbkzKVP6FJhdN9mMhGboBYVsnielhwgjWUtxaZ2RDnOxVZQC0UnUhqQ5M1wZE6mxPrOxP7hPl/zNb+fUpUf/xc/zp07x97j0HXKSUG0UICi3p/jpJlSuLi3hxbheLNzOUcie18HSX2ShicRyeRShCTQYxn+LK3ipmf3TPhFlJawz+NAqdXJjaHt/1rPSuOqVyZ1lkQGvlCUo6Mj3ve+97FarfjgBz/Ykqda05m9G9gh50jm/DaaPhzvJzLp7FSmVi1yMW3bHzbMozZ/vt1uMAIsUWv4OWuglakwrm3ajmLkG1GdaH5Lz8gFz5KLuC3Gc/QJeyK5PaMVvaYzsUPEK70um4qoaPvFYvs4jUze55FSalJO6EMb8HdQ60Qehk7U1Iomk4ZoNMWGP3afaKX2mEhDs8/+buL/2X5vEkmJn0vND/RKuf33drtlu940CYrJNLufMo2/+oCL2uKt0GWkraI98/3hwRaLhcm5x64cWCyWtq61eoOtk29zmk17L0f0NAR5KSTQhSUzqdpQDjKFjKQlJVss1LFATMqp9cya/WbX6wbxWq3xM+e+AHMmw/TQBmy0VnbbrW0YxcufvRQt/uTzF9VBdMU0JH1hLSh0uUDHS735oZZyxgGHo2kaPTqDZo7HQYc3WNn9xUg6yJJYrRZMY2G73XUNldrfaToLUuZXAPgAtZZBu/Z6CiCeOwhiBsiLtZKMLmdRsJfs65UQwoSitDxfx+wgzcY+Ji8b2fMnEcq4a30Cqvi0gf75424GYkloCubQOsezJ0XWhS5nHGQE49g8xiDkDsqw9zhJJcmCAaGMI8enx2ipNpJxV9nuSgPbqgbAA+SIyowZ8vX2AGGsisucijf0loKm3Bqv1e3RrurvKTOIMDE1Vi3e61lQb6tijtFBqVEKlKnLC0Z3eI3NZO7EPBjObLX9uWr7jhI6YmjysuzTkVqTs/d8RCOqfW4vabaJM/7fly9fJiEcHx+35+xyMHvWwZvVprG2JLgx9r5W5jBj5OFZB11LtVF5s2Sy/X1VJm+ijebd5E419kGr3FSxhH/2GcNiaHs93kpOsDckFmpTnjbTAt1NxiwOmYyy3e2otbLZjgg2+jN5Ihrv5kxVYhYA7t7jqiHhC9BhmmadJUK2B6xRtmjobSM3sylRoSnWkD5JAhlYLPdY7e9z8/p1PvLkB7j56gvsHx767wq3b99i9OcxWigTwp3Vasnnfu5nA/DBD36E3bYw1WLBb5xQ6U1x4zhaGTpK5D5CV6vbm3QGMoKoaU2jZE8DCBEIjYmydRqS+ZoYPWfjiS0RTC7HyHnWf1D7vgiAqC1RdMlahWkaZ9WcmdQtflLnEhm7jk9OCFlZH6XYgbu4L4nJaKpKEeW1mze4dfMmqO3HnBKrYUCmiW1RxmlkMWRrXmcGbrFJRaoWL1LujYhh6z0BN5CstVB1asmJNZ4OJtNjwcOPvJFpGhmGRVurbo9io/NUEbGhD9maLWwYRbIqhFSvhGtPwI0EmbGsPuZECNLFbDZIqJyzaehVfcymr3/4SnECQEwHLzn8k31fqVEZyDYCuVak+t0EmeUWY5IC+2+rnhU2mw3vf//7eeqpp7h586ZVs0s980zxDm1y1yxB05jCFXJb8XtyojD3xEMrriPHq4TMJrqZLy7u06xaWFF89KaP32zkV3XbcrYWCRIxsVouuXDxInfuHDGOk8tH5ExcF7Fmy6gkRX9KgKHmq0oBLZCsYR5Rj8Mji8WCq5cucnxyxJ118X6h2t+9dnmikMgZDvb22I2TTWerynqz9jG2MaVv9t2z/RZkDAIxEryRo0InLekgXSSkPPb8c/sG2O1GxnHXettErJcpQHqAf9vXM4k1YVpeuQq9jt9TSLciXkZFfpomjk+OGXJmGBaUccdyadP9Si3N3i0R7OTFXCpuMnNBKizBudhKkoGkyoPLFVsduVEn6mJJQm36GMyI59/8ev0jJmNTAzb9IOYxu+OvpTF9IEzTzhYkCRIAyhvz4Gzg7A7AjVwrQ4rStTmA6s4xeWeReF3DOrq1aWER24xTaKagbeI25k1nZfDo0FYQTYh3pScBqQrVpqkkSa1T3piks0xCmEsw0da9blIAyxydrRbnTyxa2v2lEEdi0pkAvdpLV8YK57ZhAoQbk9qB4DiODWD3RMm1q548lUhq7D8BSCkSnbOTWZarpcsjhGGxx8HBAcvlgmmaOD05ZbPZ2PokYbcbz+jT7J46ANBabNKECmhmdzJy/eQG4zSSMuy8zG7d+QbMp82WGNsZJG8AY8SZjVoxMiMkIwnN1kRM8bm4qUtmIolM3gAzTVsUG/OVXasZTjRsFWgSJXNY1eVUNobU2DO7p9gLzrl7uTA586CmhXWmK0HrN4zyYQg5xT8v+z/jfppkSTubU2s9OylJpL3DlGzywaWLFxCE09NTD6qejMzkETkv3JZ35qAFVAvEeyNkXQIxjSdYOrEGc8UaWlNK7Ha7ngjNghKq1GkCEuKJZ0oJfKqAajXGMBy0zJqX/LNQY5juu7DHvfv7vHDnFKaJoVZ0quzq0NmhZD4sp2wN0/hW1l51mLPucc0rMbGXOuHQpzVZMiioOpOd1BojFWu8lpCtTZyenpJEWKCkISN5wTgpw94F3vj4m3nkkTfya7/6fl54/ilu3niRC5cukVOyqtRmw2Z7Sq2QZGn7QSvqzegHFw7t3aaMZqFWMcaOs+X3SK6ThFRPSeqMd0u8guEL/XLfD8ZKu/uolUlDMhZJmSAJ7+lwsUhO3hhqtlN9r2uAmxmY7KRLn0BhTOmAZNtdoSSK77QYE3Yya063AGJgW4zR/DQCxsF8kDV58D6KaXKdujU5LlOmSmXne7s0gKrtudsIX7EEKWzKkqAQzrgf8aTqTOHLeyliD293E//wh34YVLlz+wRhcKICj1WCtzSRZcGkNgEpJfPbSRZsR5tMVWdVFF+8+JfATWZPpc7+Do9DvRpt319IabD59YuFjc+r1rNkzGfEXoDa+oFqrQzLgWHIsI33YO/AkkEnFWYN90YQmez0+PiY9XrdyKqo/0aFJkgG9biFhCQoO3C1z21NiBrxQY2Fbj9hez400mEv8QyWlDpYrqXdNypYATF5ZcMxjnQisY2jTgOr5R5JTiy+13qmMp9SYrlccM8993B6uubo6Kj56jZUpN2z7R0FasQQrSxSYgVcGjJ5WHCqW3YtabP7nY9WziJc2N/jM972Vp765DOcnK5dxmtvw54ytXcDgWF6pTulbk+gXXp8lx8KPCYSPXl1ttbByvfPK46lHCwyr8BFc3IA9DkB1BL/8OH0ONSq16o2R9/xj/WAlnZOylC6TTetv695q6xQz/RhJfEhAFLdXyRKqjyYCn/k838n1+7c5p999Bnu1JgY6MSZ1vYdv9n1ukF8Hoyhq2pzQAV8dqlNQIlMahzHxlBZLMksFgvLMKrrwWbZlodHnyoSrLqxnGZYc9bUDUJ9M4g1vOaU+9D8MIB4s3ddvfGmSwok7ikSFQ9OAUBSSkzjiKRspdXm+CNT9KCFgSWwTV5qN8DIRpPr7qdqL2mRY4KC37XopzmMmI0azkzbhAz7nbtHMc3/W8T8bk7ChcMDxnFkvdn1mdhE7wHNMUT1YLlccu+993H76A7r7ciFS5e4//77uf/++xmGzEsvXuPZT36S9XrNOHYd4zRNM1lTNKsJdvqEs61FrM9CKzoM1s/gQTjuSdraeTB2Z5XCWToYV+qMtcUbeRxAJG2Mb8rGoGy3W1unLJYE+pSCot63wVkdcGqBNrJsbX0ZQ07kPDC5vlSB4lWDlHPrnyiudRXpSWUt3f6SN7e1hiex/+psvTZwK3kwfasnql1je9bew+Yi8XjllZdBjdUIDXASkByAwKcIeYAahgGStDMh4tObYxwGRHxuuydHnhbYAWPae2fO/NMTzCSW/GuxgGPJaSbF1J5IfFNqDb7h1sK8pIzsD/t8xhOPcfrUs9w6vYXE+DT3LzaH23tZYspVvNOqs0CeZgdrSeTBCPYuQ/4n0gFtrGNPXKOa0LZza6iPex/HidViweHeyg7RGVbslpm0f8jFq1dZ77acrI/ZnR6z3ZywPj2xd4nN5t5u1sDk+uoBLTZVZVcqv/7BD6MK6+3IVJxPzUMHYW7H82EDOee+l5o/PHvNky8tVlYHvBggpOrSwwhlNTXJkzaf5kCGGM8WzGxPGDqJIG360ryiE0mU/b01r0fltb0zT+6D7TZw7j97plSd2rNVP7AOtwPBRtxqkvbechpYDAvGUkFH/8wAnmGQsylG0T8RSWDtCbq9B2nv1fqzBGo0+Hozsfv71167ZZLWYgf3VB/HZyl+8lJ8AhJJC8gEUvxduvwhawcGyW08ZDNYTBSk27yZBOrVExUofoDVgLQDnub7WkTIaaDUGM9Z4+vOvL9pmpimE/d1Ue11SYYqw9Knz9TC5Gy9uLzVbEfbv5stOOmSFNFZ4u021JIlzOdUqa1CGVXGUgoqljQGQK6ltHGWrYqqWDIgMae8UotJKpPaUIUKnpymZleox/Ik5lursjld88pu13ydPxYxytiY9Inj42PXfp9lZ3uV06sJCDFWJDCFWGbLKg/sUib5xBvzH+JySktuk4aP2vHiC8+xW6+ZdrsWZwLoJ4+3d99L86txX6qtV0KhkadGvBrJG382v8I3NUmNy/BKrS75myV5kcx4nOwFL2l+A2hA+8z30GVEZ85f8HddqxtvtTMNUjYMqBELPPlbLRcMi4Hjo+PWNlaxJLy4zl5TMXynyi7BJ15+kdc2J+woqAytnwRPNFaL1wfPXzeIX8QM00mN2PKKSplG4uAB7sqyAntQrePfNI7JmZBY5GpaslhgBRFzAgKNGe0f6nPX80BVmyk+qLHeo1izmDgYq0TVOmq6XuKUKGUGoVexg1FjgoqVqK1w4NlXMj2tOlNofsFGN8Upj6X6fGTPAi14RLarXrUQJrQ1oVQfNyl5YKL4q4/NiIMjaUuw8FMgRz9UoR3U4+tXGxCNdTAAn4fM4YULbDZbpgp1N9G0oRRbK0zjVyltU52enrLb7kiSySlz37338vmf//lcvXqFD3/4w7x24wY7L+/X4rOatSKaIXvzjjsi8AYqgb3FgrK1GcEpZcbo+EbMEbuzVFUfRTgzAY/MzRGIMPg0GpFeIksiFIuLaIFlGtCpn3Y3ldEkIdUqJlonis7mwMMZhsD+zXVxXhk6PDxkb7nHbrdjs1kzjVPwBK45rC3bR01vTnOa7hAldLcuU3Fgk312tCgNyKuqzeIVk8LEvPRYl1b10DgsQ1xupJTN2JzaNFVa57/vu+QaWCurClOpDAwN5BBsQwNU9gwtYXP2oKh2R+aMmASwIpiS2hSb1NImSaUMSZUh216eNPTbDjS1gsaUK2OPX755zK997JPcPN3Yc+SBUWOadicKtFqCMW+0q3QpnlXIHNy0dbFJGkM2liwmcoScRZEOOrUDuvkM50XKfqjcaI1MWtlNk4O0yuXDC1xY7nGy2fDis0+xWZ9yenTLNM4K43YEsQbGnGPeuVUMp+grwppMX33tpvvdBHTGORxIyAjUAZb5x37isvms3ixOigTTwFb/JFqyklRIagcbKWqMrBYo0jTAVcfmeztR4oQM3BU35rIXA/qIfb+9fieDZuC/Vpem4LPMZ5+VU09oKwWpJgmI+JKSlbztVFglGthVavs9SZm0yGynwm6cWpUq+lYaUEjJTsdUG7SQXWqRkrO3pbQyuyUv1ZtZ7fA+PLmxj7N3rNXGHdZydjyt4xSXt9AS4eTyuhiZagxgZ2stzvazQqzw4cmF0qQ8yuAJTcwLV5u1PY12UBVivR+Dn5Dseyd5YtfIOGd8o1ITp8zWWlwe5ECe5DHJNN/mjsTs2PemJdmJaSptDbStv3abctq/SX9qYAxt1ZBYmybnyFZtif0dCX0Kjx4Z4SxB1OqTZLA4Z5Ipn+Dje1IiZmkcgeSVJY8HWkZWeyvuv/c+bt++w53jEyZV8Gk5tSrHxyeNoAspWY9Pdl/ZDzEy4s4rLiIUYKfKJ196yaalecVZspGOItnOifEEoaJsponrt25Tqlr1xu1D8uw7Z/t2nmibRG7yn3FsmLx6NtsnDgFn+zj+YEay4BUYDCeSbGSliLo8iR5f/TdE2ld3EigkqLPv9DvvVWM/+K64rUjuyWJV2BU7LMv6Ywwn1Gpn6Fy6eoXVYsnpySmljKQ02EQ6ra6USBa3pCJT5U5RfurpF5lS4UQTijcApwwuE7x48ZDXc/0WGlvHBkQDJCbBwCigMRs7EEEDysput0PUJtUslivysGS93jrYECTZwljp14IzMsuI/NAG02YmVK1pKafEjspQC5cuHnJaKkenG1TNUabYeJijmjdxoJaBFS3G8oXBpIxKpfjkmJwSly9f5uLly4zjxI0bN23+e9tI5sziaN5QSzRWKHkDitoRu1kyRcVO4wWkiJeAMdanWjlL2xr6P0W4eOkiKByfHBPzgsEODlFVrly9wvGpjXrcW61Yn5y2+xvLxO3bR0yTHW5x+fJlLly6zHa747WbrzGOW0jC1StXuXXzFmCViPVmA8mae8bdhoPDfR555A1cvHSRZ555hsVyMOc3eZmRGajDmU1n35Rk+kUKaLLMtCjoYOtA9s1lZayoCCC08WjdIaozWJHVeyCLDd1jPGNVVgqLMpKTjbXcug6zaCWpOfzQfAbznDzY+tc1XajpGq2kdnK6ttOCa2X0BtxI3MImiGTW793jgN2/BNvuZUhJVGu48PJ0H6lYorcEZ9QEYoJTWyt6SROcpaip7UfBxg2WabJkNKRc1fpHJCQteJXGmY1o3A3HFiABOniiPyaR+Cg+ai6kbHGfKp6uWh9DCCbVZ3FfuniRqokbR6fmVG3xjMmgssgDCz/k52RXeeqlW6jY2NFRogoIaLXT8FKcFu3BXpXFYmH7PHW5iALqSVSKBkSt1DKiDgi0RmDRlqyJiDfHWSBsDYy+KtO0a2CjFKsSRSJ65/iIPGzZbkc2J0fmV8rUKzBErRDvLRZTc7lhBShRB2BRLcjZ1632AFtrIdGbuHvlwXy5Vtenh/YBA0nxclMwYC47tOCdyOKHh2m1WdQ+ica+cwdazE+18a/iYLv62sd+FQ+aAToNsMfIPxEnVbVxJWZH4cAjUs8S8aK1MXmNsfNAXYtXClVM2iQ25hPFqjQ+maNo5WSzaZPBkr0CaxTXaKSzREYc9NfiGtlISlKv9Jq/V/eFxva2k5UVhmFhe6Ti78MlfLZaRlY4MIn9FAmkaiGLuVYDlpMDHzuKPljK8EcGwJ2ZrlGZTd6HZBI0Gxc4IdXHtjrrL16Zjn4CpNoUO4G5dEKrkSnNQ4jY4X4KCT9QMZjcaJqsAX56pbpEJQUayx59eD6Ipfkfk8GCSXksTtqZZ71vzpLW0HXPKz4dTLY+klmvTHt+NVJvECFkNRZ/ardHNTZ8GIwISEmY/LumUuy056RcuXTItN1wcnLcEmElEyfDR+XGl6/5FrtP8eZw3ztBPoqRmSMYwaTe59CS1a3Lep1gSWInyZLZlqjceHz0/ZOyAfOYLNTlcJGwOC6KKsddPRx2/9LOl9CYOOV/bv4Fj+WAlpZsJk/sBO9F8ISwyXvCOJrv0tZzE+Nww040EjdA/RBK0aB9lCzZpwQa/pxcmpl8/VpflSrXX33VkhdPruysHruf6EvMZFaLJToYJr6tQDEiWGfqguihOTk55fVcrxvEh/Yr3Ko9lKmrrct9Xjo0djWLQCweFti+8qu/is//gnfxXd/13bTTzXpK5o45xrm55jT5RiA1ucNmu2WImb2S2E0jlIlBd1Rn4vwtslguWaTkMgqIjL3NXHV2SBxwBwgc8sDX/4E/wLu/4d3WJJcXXLv2En//7/09Pv7Rj1DrxHbcOqPfG/Wy+Hxvf9GSLdPt+uE45ERRkpfQQiPn2nFfY+gaTxuvVNrYvpYziXD//ffzn/xf/1P++t/4Pt72trfxZ775T/Od3/mdHN25bc1RRTk+XbNYLPkP/9B/yO/7yq+0bDEPPPPM0/y3/90P8qlnP8Uf/sN/mJ/56Z/hySeftBF5GEgcx5H1+oRXX3mZJ5/8NVbLJc88/Qk2p8d2gmQdzfg9Gpvmz561uLxmkMykoNPEZrNxNi7BNHmjrzMZquFSfJX65rfKhCdkcvbv22+E8xBjSAaFQdc8sJd566MPc+32mqdfO2U72Tz66g0+ZaaDB6t65Dyw240t+JsDN3sVwWbcThODZ/shJ4irxrM4E2UHu9j+SJL8kBwl6LfY+KYXLpa9exk5EaBQvOLh95NT0+217SrzFZTIq4kSMbiUoTXkGdgxCxULjL6f02zsqFTbhyWCOcHIe2NR3ILvs+ZUq5emJe7FwQ39vdUGRuzvcx58fnNoPQ0gLXLmDQ8+wDJnrr30CtNkSSop9Jp2FW+AnZ+PELIOcBa11K4LzZbEja5JjVnZxft+NNbV9ZOojalTnYgm9jxvbKIH1dizcR+mj7bvX2825GznMJgcMX6sv89e3tVGFoSdDzkzxXfEPXoPz4zgJkrU/fPOXpGEt1OcZ+McI8khCWkAUbNN6wcaqKIUT5Lid8EOntNI8tz92R6f7+7Qtkqzl7Zes3cWLK+RJzGiEcIR2qje0uw83knxOGX/NZs21UCbS52KhsLmDOGjou3QIKk2fs7YvWKJioN4hynWgJfsALGQT0TCISmeRFt6FsDds4zZXqp9YMMZyUHc/9l3GXpf1Bjeit1vz2/sJuKU0PDVc98KeBwST3yNta1qoNW+2yUy2ZKCSCahz+FOKZLb+YSa3t8FQs4La7AuAdI1pP1EdWkO7vozV4Y8eDJUZ3tF7B41RCWVRaoMGd7whgfZrre8fOM2Y039O1QbkaFtv9m6SE4MIm1YxKdPkTE0JAnzb9WTUt+/MaGl1MpyOXBwcMB2sybOPLAPMKyw3mz5xNPPUIr5mzj5Vmb2bWeoxOnfvQm3TRsLWiSSKn8W8awzydASNrD6u3h8WgyDjfz1BvdE9CYFYesSMS0IJivTsmOqcYgjbW3me5d2F0oD9skq9Mvlkt1U2oFNTfoifc9r9C34WuF7xjCvJwSNtQ9JUm3JV1sj7XulWatWVBKj+6hQM0jqKD+woH3P3M4c6sqsP8I2oa1X6hKfIP0UP5l11nfRMPOMuK72MGydTPzNrvSb/0i8hLg/C75T61I2ZknIJBlaRhROSNxhrFYrHn3sUd746Bu5//77CdDesjUNxx9BiP7v5NbYEGxD0cJYKlNNbFU4Xa9ZSuXBKxe4fLjyn+8aqPienGL/aDNm+/u+8MFkvuOz3sEf+4/+GD/4t/4Wf/pP/1m+9Vu/lZdeusa3fdu3stpbYQcgGeO3WCRSlvZChWAs+3fj35tQKBWdis2ylihxKos0MMQEEDeCMEbTno99gyjN6L7hG7+RD33wg6xPTtlf7fHQQw+51CL5mMqEpMzv+re/iK/52q/jr/yVv8o3/9k/w7f/hW+j1Ilv+9ZvZRgGfvZnf5Y/+sf+KBcuXjBj9mbkOhU261Oe+sTH+NX3/zK/9qu/wlOf+Bjr0xO0WtNUciYlebgchoHB9bhlnNhuN5Tip2NWXKIU8pUAdA5otQdRmb3HuOZrGp5+3iFf/EjDXBOpJhZZeNMjV/mGr/x3eOyhK2jZoaOVQIqOTHVsTiCY1blMIr4TOOM45yV/pQOD6rIY279hzCHhcnlLeAER0tDZe+K7kx8eFgFGIlnBQb20mcFztBaVCgtpnvTMbP3uGfGl+oFH7S1Y4Imksf+uoJP3KpCctUgMaTBw5oxOn1jgVQK1IBC6/3Y6MJaA2xSIRB4WDMslRYWbd464fecOcYBNTuKVLKugXTy8wMULFx2UxecElMCbCzt4ivfXAl7tyYwtZ2eO2jSRkG34uwgQ3sJ9gJ2wSaQ9J1VMdugJVGv0Eizp0rAhuy+bFqSzHpAOxlPK4NK32nyK/zk2iUnUtJazCGXSrKmcAXtz256PqAVaT0BvRjRAN+TcfjblxOHhiksXVly9sMfF5UDOUKVSkzc1FutJ6Ae2CeLsexAZNm0pNfvAJ1DNFrNDKn9fQfZEeqp+P4vFgq4llRbkze58Yk5VB3fZ+gjUpJU5D+1549CvlhsEE+j7JJjQUq3pep7YZzEd9eH+AfvLlfWuh/4/i7HwEkmgNAmqJfNdXmrv3XofqIVFm6F91uep0PxEnJwd0z2igTZioK2JEQGWuJa2Kbosrlc5zdwsOVUq02SJZfLPEdfYFzWpY0HD3Pvrixjucrs++aXbsGm87bmjamPv27GDJ/k5dXKj7+PSbDQaXFXV9d4G4AdRBqkcLDMPXr3ElQt7rs1WP8387H5OyQ8UDOJhBkznE8vMXxgwtB4B1zr7O47Z88Fc58GSxM12w1hM44/7GcmZNCwoKqw3O3ajn12BNb2KTxERT+DbCbXz9xb/S1Z9yBmGofeS2Ropw2LJan+fNAyesdc29S/lgWG5mJ1War0FiUyWgb3lnt1LFcpYrSdDe7y0yqzFivk9xV5mxjRH5bD4c+Y8nKmol1L6ydrQ+ltEk99TDN6I5/ZKQbZ4ObeJ9s6kp2nNjpJp1cdpchlol50ZydQrBEg0i4eDtZ6+ORdyVmY626tqWFNVPWnt99ViDhHfXL7L2f30G12/pRGTpr2O5hn7llI86/ajdrteuaLVS1quYxqLS1Q8C9tsNm406uOzMv/uv/vv8MVf/EWs12v+j//j/+DDH/4wpUzcc8+9/P7f/zU8/PDD/OL7fonlcsGT//pJXrz2Mo898QRf9zVfxROPPMytm6/xv/zIj3Dj6efQqjzyyCO8+93v5qEHHuRjH/8o/+Sf/Bif//lfyHa74V/+/M8jkrl69Spf9VVfxY/92I9x584dH0eYectb38LNW7f4wAc+wOl6y9HxKf/vf/BD/Kk/+ScgZe697wG+7Mu+lB/9sR9lt91x9Z57+Yqv+L38kx/9MR5/7HEef9Pj1Fp569vexsnxMT/3nvdy/ZVX2G23fNY7PpM3vfkJ/uk//edcuHCRr/qqr+IzPvMzeemF5/mn/9uP8cr1V/m6P/D1fOhDH+LDH/4oIspb3vJWPu/zPo8f+ZEf6UdYi/DgQw/xRV/0Rfxn/9lfBHx+sYjr57FJPiLk5YK3v/2zeP75F/jwRz7CbjdydPsOf+/v/j2+8Rvezd5yxcc++jEODw/5He98J7/yy++3RKH6iaOlsD61o9hXixV3bt1mt91Z8jEMlkWqjc8Syb4RR9uMPtqsyW3UFMuR2DYg4aBWnJEKxuJMs647A2tWzVQKdSoNyEokiJ51T5o4ZeDpV4/43372l/jIp15jXZZUteqLZgNTizRwcHDI6WZtp/xuNkRInydV/iW+EedlPBuDKDmbhKMxEgaoNIB5cjZFZ6MYmTEvBA6LxMa/5/+EPVVM1tU02ASIp50CXMsUqSq1lDYfOpp4Gk8iJlML7a49q71TwSpWcaMNLCEdZNlCIPTzCmLd5uXW2kBoNM91dgMRNJl8oU5NsOJVB29wUrj20iskhM1uRyW1RsswqZgkNR/9lV2uVovr9P2MgJ7QVKZRz7CwpQFrWmCPxDlLIvrujRSyqkoE2X7Qlb+HSFA9VdKQCUno/qUlGjkn/4zawDf0hDKS/mDoLUGqLRlpNsldCe+/4YrkMBKHnBd2omp7hwHyExcO9nj7W57gwmqPTz79LM+98io3NyPqiR34RBnPLbtmeQZAcYJCep9Fu4/Y1yGhUZMT5pwZsjBOpelWU87WSNnG78mZzwog3tdP2pq1igVRHfBY1hoDnS93+7EeF0uK2qnRbRSstKRhSJlJ/VAorVCE0CrHxJR+ArGD45Cwqa3XkIT91Yp7772H6zducbrZngGSAdrQ+X930qGU6CMIv1nbGkDYU7zbbicmhaiA6bpL6Wzg2YbumMilzQ7b2MYa0jRtz9QObYv9UK2yl9LQ/VaQME3rPiNysIQ5p8FP9C6eIBp+qFVNp5/8QDuFYchcvXIZ6sRTTz/Ldrszv+DL0LFKT8Za5pj6u5gTNu3fU0ggxeKIJPIwgM5YWRFIVjGuaiNuz/TPaCRj1jcRUvNI6HpPk/v5crYp/+4m10yc1eIcgnjFzvfEVCcGeyMuT4lGYtpI6iQJKfj40PBDoH7WBP7M07htZ23gBFOsXVQubA+a/M3WWkBizLNJedxtkkRbkoffW080k69BpmidjZP2dcAqIBVnyZK0724yW2j+u00Vin3vRFvEibkZzG3fPIIQfjjikXFSRlqWqbT9ME9iWvLQ4uYM84i94wQ+CRCbIPgbu+x2vW4m3lgmY/5WKbNIdvLnkLJlysQYQ7/JlhlaBrXbjrz4wjVu377VwT7aDsFISXj3u9/Nn/pTf5KPfOSj3LlzxHd913fxzne+k+VyxXd8x1/ksz7rs/j4xz/O7/vK38df+s6/xCOPPcqFixf5L/7L/5JaC+/7+Z/jvvvu50//p99CHgauXr2H7/me72F/f5+f/tmf4Qu+4F188zf/Ga5cvcqf+JN/ir29PWqd+NIv/VK+5Eu+hO122xgqrZVPPvNJ3vCGN/Dt3/7tfOmXfSmPPPoYp+sdf+W/+etcv3Wb+x96mK//+m8gDyuKCpcvX+Ebv+EbOdg/4K1vfSt//s//eb7m676W669d5wu/8Av593/fv880TSxy5g/9oT/EIw89xN5y4C/+xe/gC77gC/jV97+fhx96mO/+nu/lwsXLvPnNb+EP/sFvagHw67/+63nzm998plylqnzu53wOd27f5sZrN9rax+bwiXEIQtlNfPTDH+FzPvuz+HPf8i180e96Fw8+cD/PfepT/PX/51/n5PSUzW7Lhz78YX7X7/pd7MYdZZpak6Vgm/21V69z7dqLbNanpimuvYSYgsRQjPWoNsFlkTOLRWZIIJKtfBG/0GysZ6zG3NEA1d2soTrTmJwbmoPKISWWw2CTQSYD6Lua+dTtHT/z5Md47tYdJq3kBSz3lqyWKwZJLJYDV65c4mB/1ZqZTMNvDmXOwAMd3MX9uEzA5vPPQe9Zl9Cz/Vm5TkNbLu19484u9O9x6ul8HRowmn1HAOo47Gb+XfOGwZg9H2PZEJuJ3KYAJZu1nvyAtVb0dulAnyZl9phnAaozNHomCPa79AZ3wlDtGeJ9KYlJlernE5Taq39FEzePTrlx55jROlX94J2eULUKSZw3UINljSbNGSsfwFqEaCacV2Lsc0y3W72BshTT/vbqDKgH84QdiCLxegTEmcgo0drIVNucsWcaeyQuBXPGti+ZbzK3l17qrWg1zfkiD2QJGMoZPxH/jOeOZKOx8tKDiDgQioqFun49po7dc+Uqb3n8CZ54/E1c2D9k4cSBJXvZpzjks8x+BDEREG2TTiT8y2w/NDtKmc66wf7+HsvlsiVVqsp2t21MbLlLVtaBoDTbjzWZVyPi38Wbuy3pG0jJRs+aDZnIIaezv2v3bBrm0/Upu2mHUhCKS0oLqSoZcWm7VbMy4nZylrWL05JblUd738unXS57qa0/IQC0GV9nkcXXGXJ2lpz4O7P54nvffI5/fPIeBHoyR4cy/gwR57VV3QKUt8pjML4x5MHfkclXiycP82TSm6P93izxEB90gdu2bzCXZyQxBj5+YirKZiyMmrh9OnK0rkyam1+d74uofIYtZk9IJCeiTXru13L2QRcYwB6GxIXDQ/b398/EImPQzYfnYWjJII0Xtj1Xqk9IqzTCogfUngTGnp4naz1pgD3fHzZEIzo/7Y3tdiOb7YZFzqyGTFZYpETSSp0mpnGkjJNNwpMKMqHY/8Zpg+oIUkhZQaz6bgOre7wYhsF9sfc73kV+KbVVrY3odXutdLuVMG3Hk9Jt2UKFQd6YABhVGdWohPvv5t6XYzbVbcfwkSCSW/KZfTx6i72z8bdznxLxeb4b413ImZ9xPyGpkV961//ZHjD/jT+/HSJp5MTruV43E292J8RhAjE31IKhTR+QPCuJ2ZM1JlMVY1DcyUZZyBI05dKly7z73e/mB3/wb/GLv/iLiMClSxf5yq/8SkopPPHEE3zLt3wLN2/e5Od//uf523/7bzdH9CP/+H/lPT/zE+znyslmyx/7j/80q2HBl3zxF5Fz5r/77/5fnBwd8cxTT/PVv/+r+ZVffj9/5P/yR3jsscf4xCc+wZd92Zfxsz/zM+x2u8ZWiFSefPJJvvu7v5uv+dqv5S98+7exv7fPK6++xg//z/+IH//ff9yMSWJTJWJqjRkMrNdr/vJ3/2Wuv3ad05NTvvEbvoEf+5Ef5Y2PvIG3f+Zn8o9+6If47Le/nc98+2fy5//c/42bN27y3ve8h7/xA9/PF3z+F/DTP/3T/KW/9J1cvXqVcRz5vM/7PH7gB37gjLNOkviMt30GL7744uyApGBHKovBxh9asFB+/uf+JX/1r/w1vvKrfh/f+Ze+k2Ex8Mwzz/DD/+P/yC/8wvsQgWeffZY/8HVfx3K5ZD2eMjkTrxhge+WVVxARpt105l1HIHE4bs4tJS5eusBnfOZncOO1G3zqUy+wOd05I02TQMQYSi1dgqT+mb2E5uxmNLjWShnH5qjm2a8FZEXYgmzZVRhVOCGjVVhKYZVHnnjTG7l9vOb6jTsslwM3br7GdrsDop+hH/oz38zN+ed8Vu+NNRAhkUAVjzMdLKh5mbapG5umsL+/Tx4WHB8f9eydLoFR7fsugHUDm67LDJuMPdaAE3QGavYM+PoDXdbhLCdKC2bUSp0FyTnjFKC4B/v+2fODn8JWis/QFZRhYU2A4+wkvCwD0eBWDQVbWd7Zo1q9R6A1wUWwP/tc0eBlFfoAtqmzQ1gwiXG2wbKhXRoXABNf726fYbvWuBvyuUgARXxk3Gy97T1b9ST5ezKNNezGwmq1oqod7V7no+1mzWOgXecv2GQJ33PBglV/jrCNOTNbfYpMnHsgWJKhUwSVwjjuWqndtnQAjsKdW0f80i/9Ch89OGDcjWy2W7IkmyESvqeGUjpAUj4TuNp6OlrMOfu8+7ihAPY0Rn+aJtbbTV/PsPf4gVgbMYkNxGm5dye+Z6/2q/GOHPBb9dBuSF3/v/JekakWHyEnTQ4p4nI4t8WY7LJa7ZFSZhx9IlGNudT+ClP0g/R3XIrppDfXXrJxwOLjAMvZUX0BKsvs/lWtT2Y+olerNl1wgAWJNXHAGOtQa1/LeFeLxXB2HcMPJSW0vPHyAjCZEjOm8MA0FSf8jLVs96q0P681bMB+RpIfQuTA+yyY6gcNCZ3JVR95W6ty6+jEExkhDfuWLHtfEnM/pd6D1lhc8+lt7zsLG4SSJbP9d6vCVCpl8sSF2hMeoSW4JqPzStMUb02aJtvWz7hlETH/VXus5wwRQtvTQfAcHFxgmiZOTje0bRvkjwpaK9O4YzlkDlZ7TGViV+102SZvSQl8HpElUeL7sI8FFhHwfpBWJfe1NMJjhlGSVwqD1NGGaBuhYh8hftppJMbSk7okdihY/K5jSpu9H7+vPhgiKqgzW222W8+A+YDiFvP6f8chchYvHafmHmsEaZXsefUzrrvxwny8ZdUuiY09ONWztjAfNf6bXa+/sdW/MfmCF2cf+gNY2d46l8WOuMZkKUauZMBKMdBn6UYn87333sODDz7AH//j/xHf9E1/EATuueceXnjhRR57/HGuX7/OzZs3qbVy48YNXn75ZYYhs92tyUPi//Hdf5mLFw7tmNy8BOCJJ57g2WefZbPZIpJ4+umn+Vs/+LcQET78kQ/zRV/0b3N8fMJjjz3GD/7NH0RVm+Y8pcRqteKXfumX+Fe/8AtcvHSVJ97yFr76q34f3/6tf55nnv44QQc1NjgSFjeGF154gVu3b5FS4pd+6Rf5E3/8j/Pmt76Fz/mcz+b2a69x86WX+LKv+Aruvfde/u//+X/eMucrV69y9epV/tUv/DwnJyd87ud+Luu1STw+9rGPdaDqBnf58mVu376No4t4W/5PG7uoYs5gb7XHe372Z/jpn/kpLl26yGOPP87Xft3X8Z//F/8Ff/bP/llefPFFTk9OODw8NE37YEfXV9GmIUuaGqgMltgM14xwzsaKCG989I18+7d/G+/7hffxQz/0w2zW1zGTTl62C/AQwWoGkh2kFZ+Ffea6K8tvYNJvRkl23yhJlqhka9wBFmJa1ZPjU3bricMLl3no4Ye59uKLbDZbH00mLVC0knUWfGaL33NtZfRwkqp9dN3eYo8YCWpg0hLb5IAQf+dVbUyqNSRGT0CcZDeT7OBbKFbQs/y7DwixqTL9ZLn5ehJgy5uD1eIwio/HTKFfDwAZDgtn/XQ25aAzHPODN5DekJ1SanN1GxCuFU1WRh0GO0Bn8rWrqJ+i6GuVhMPDi+y2W7bbtZWgVagijcW2YNPBcmc0e2VqXr6Es2XfmQGb0+fsz8bnRnCNSqIitGY96WySKD7mrs4Ajier7qiXy0WTBdQaB7ssrUlf5gefzPTUEcccJAgdDAdY15nNTH7SaIBMEZtl3ZjQkLr4/opZ3UppFZo5a1lKZTPCK+MdXrtxB0GZFGt89NaJ6nbd5Cj42vg9BBiLxNEStdkMc7fHqOoOi4FptPgSp1raJAi1Q4mcTbOFSdwd/ILVrjW1ANqZzCm2EwmbDV9rRctkzXSz5CCnxNUrlxFJvHLzZmOrz35Zr8ZEJXq5XJDzkmlaY6PkCBxiIG3qzW92oJIfJlPt/QzD0PZXH+mqxMjP4rInbYBNZnbY7S2mSrVqhKFKkyrNSIEq0Qwrsy1hsVGLV2+AvZWfYFlKO3gr7HxYmO66VGW5twJVpnGHYOA4pE+oPcfB3gFgI41Typ39Bh+lOwP9bpc6+0LVGWEo5q9q7BExDX8algZAo+Ed85sxoWReDQnJz5w8iSbJAJY2qcmA57gbW9Jb6X7ATMIPA3KfZj4625hutSbS6htbiKpAf4cGKLMPDfP9qLGfOzCeSuXW7TuOI+z+Q3IVE1wEi6V7h/s89ugjvPzKK1y/edMqcBJ9EzaBJuWe/M1BePej+GeHlKpXGon11Mj/ewJo8ZiGG1qcgUbQtelBYhKvWivFfUt1UjFm6ZvWpkZeQEBx9WQK1P0u3oPhzD/a1jBkUEGQfVrlOPoLS0E0zolxsi51zGON/jPSzA0tmvslpRZzg+KI/hZ1fI145eouudS/6XrdIH6cduZUh6ExDyp9ikBMAmhNKZFm4DlsOI7Zy8QZj5yN4Vmv1/yDf/APeO6551DgwsULjOPIZ37mZ7JYLRuLuVquODw8QCl8yZd8EX/0j/5Rvu/7vo9nX3iRhx56iL/0F/4CSYST42Pe8IZHvBwsXLp0hXe84zP55V/+ZX7yJ36Sb/oPv4nT01Oe/eSzPP/8Cy5XDced+E/+k/+Ua9de5If/p/+ZO3du84Ff+VWe/tgn+J2f+zt4/LHHuP7a9RZoqJVLly6wWHhvAL0ZJqXEjddu8Ou/9q/53Hf+Dt7yxBO89yd+kvHklDKOvHTtGt//Az9gx6mjXL3nKq9cu8Z6veZf/suf4/f8nt/Der3mfe97XzuxLdiN1WIBqixjfegMaQO+kT2nxF/8zv+M973vF/jxH/9xbt+5w6/961/jhWsv8m+961089NBDvPrqq1w4PGTc7ozJ9fcYR7SDHeQThx1FBLy7WTKeW0R49dVX+fEf/995+umnOT4+9k1L28jFd4rdd7ePmC88dxw55bbpRcROcHNwaADewGnxvycPPqRuaI1GkJjSgtMy8dyLt0h5wYOPXOWJNz3OuNtx8+YteukYB07qrIfJZap2R8psHZpzrxXJdqz2NE1MOzv1rziArg78o4RbnD09PTkx5+RpIcy0mB5wmD3//ECM+TWXJ4QjbMmz/4wB8wBaEUDC0VrwiUOWoiEtfm4OTDt4pjk+EWmngk6hq5X+5/hn1VrYbTaImI4aHzGb0D5ScxrZbU7NhmP9qjfWJ9OCf1p5vHEqAepxcHh2rSQSogB3uF16PhxJSMweT9Bsw4KsAaOY6OKL4xMG7EAs6M3ykZzZLHxbn93W9ORItpMoZ/Ie2wehxTRWDPctlkQ5oJG4L0ucqmtDjW3vttvAewPSM0a32VFtaxLJSrxf214D2wlMPGvgIM4WUNGe3HlSb34eRLz8TwCm+EGY73FVRYs28K1eORiGBSLuUx1AxTg9/4LmU6bGFvZJHW1cpZg0qDXie5CNd19lzoz72EiLbmzWGyt3y/wsgNyA35B8Ik+gROBksyYxGfnrDLzZjfeyqJ8kPAzoZAcOhY9T7ztrbW5Kky/OJ25YQuo2F/u2agPDbQPO9kjbIQGO3cJzXthBfDVGNBqLLojLi5QsysXDA/J6w9HJuvVdxR4yKYBQRMnZYuLBwSHTuGXrEog4H0MUFn6wTVSHauytEvu2yw3PVlY8hY8zGwLgaxCM5tMWw8BqteR0fdqqlWFHctcS2bpHglR8TLKNkBX/jpyTy2BsoIPGsAa367BZ3PeoS29a8uinqsdZKGn2PnLOFIlzPkIe0gF1VNziaj69mtrBcJgw5EX31vF7rvXfjjtefuUVjo6PXULn452zWEVXsUOzWroTkrI+5KBjOrptar+n+Plaihee53JHWrO6+gFobf+H7cf7jfdxlxyuYYTAIkg7HyDGbteqqHSCQsQm9YX9tx4CNWlbSrELYKpT63cQBNS0+SlbYlWm0ezRK1Gth2e2z0RitGmh6+1nlTgCM1n1bqqFIQsDfbjAb3a9bk28jU5ygCupOc8oCXvOjIRzbHqmXkQNI16tljz66KO86U2P8/jjj/PYY49xfHTCc889z9vf/nZu3LjB+vSU//hP/ik+752/k49/9GM8eP8DvOtd7+LixYv87t/zu3ns0cfQqjz44IPcuHGDJ3/9SY7vHPGlX/IlVvrLiV/5lV/hbW99K29761s4OFjxTd/0jbz7G7+BnDMf+MAHuHz5Mt/4jd/IT/7kT5oWrBmEJRWffPaT/IGv/3re8fa3s1oOHO4veec7P4eDgz2ef+451scnXDy8wGOPPsrFSxf5iq/4inbKpXm/hGhICSZ+6id/gq/48q/g0UfeyL98z3thGPjIRz/G4f4h995zlVdevsaFgwO+49v/Aleu3gPAe9/7Ht75zt/Bu971b/FTP/VTxCgzrT7XVOC555/n/vvud4Bn2f4wDDzy6Bt54oknePxNb+Kxxx/j8HCf5194nj/4B7+Jx9/0JpbLJRcuXOBdX/guilZeeeUVhpy55557ePmVV3yuLM3gO0Ns2bpJBSJIG/BswmHHtVoKN6/f4H/9//xj3vcL72O73ZHyQKvA4axsYzws0GaXw4QmPbuzDcYkDnMKh9GSyBqTYaJRLXkPS0HqZON7JbFa7iEsKWTGohzdOeL5557n5OTUnq/2ucPhp6QqUi0Tl6o2ArLE+XjmOHvriznL09N1OyH2jK6xjUKTtodMhxhjwoz5y4g1LMXnmoczBnLOtEdFAHMaq+WK1WKJzNdHbB0Qbc3P9j4LWiqZZNMd/MHbGvu908C+klE7GbIFKgMx7VRFtX6ZhDFV0ibVWAI6ZOuryZJMB1+xyTOirBYDy9XSDiIBoLLdbhh3OwcIFvwTFerUnt38kfr/bDRlTLlIRE9PB/etohWgqZpUaDEsTJMIJLSNYcuS3cYtSAzJmmWzA82YESzu91rCY4g/8D1R4dluRwvU7T46q5ro2vosg+nMo3FUU9tvYe+tUZGuHcXXPCGmc60+vaNq02MP3jSW/PtbsizGttYamlch5kn7IyBpAJ8Pj1hVxR7FQGdKSk6mIR8GqzIQ34XZcWprXC12oCySMPikjTKNTKOd9h37pIbkDntGrbYX1EcSez2dOk4wmd5US3UZQOxQfye22aEWai1MxaZUWELiB8hVjL2thZPNjuO1nbDpmZy/I1uvIYX+Vak+YSPlzKgTU/VpTyFJ0zjvQfyWa9tfqpXip6OjQpIlOS07EPDxf1YFmh1apT5aNXx1mXzP4U2f7qcl+lpAssXuiidgtdr7cDJuSDB4Za7W4jPjldtHx2x3u7Z/YoZ+nPR9+fIlEsrmZG2HDElmUum9HmqxotbK0dExp6drJA1NmmbjbH0WvzcQ55R89G8iWdNGew80ksHA2eCEDwrTNLIJIiD6ENRJIcUSGC1nfKjtj4zUSq7KQMxdg8uXrnB4cEhM3BpS8t4AZv7CJnctUjJfVFzGU8XWY+63MEmREQjV34GB7hRMc9XmR/HvEI24ZPuhumwu+wFGgvZpYhWolSEnxmnk1ddeY+2jnkUgafXvc7DsfhwfBpC0Jz3Jn5OIh0Vd0G9T4URhkExGzHbEq+5a/QBK8/eJgqidXREViiFlW2uFpIW9xcClCwdkX4fs7zbUD236WcrmT2pPSsXJpvDv+F7I/h7TzAe0eFfnh2566lFr2xdmc3FGEAFkGCSxzIMlKCXssoP55WplybqaHxft9pKkkpOyHISD5cDeAIvXOZ/mt6CJN2bPmoqMbYixXSknlgs7dnYcd2y2W9eJRvnL/VpVjk9OuO/++/hrf+2vtqcvpfBf/Vf/FX/zb/5Nvv3bv50v+7IvI+fMU089xU/8xE9wcnLC//A//A988zd/M8U12ddeeolpqvzcz/08X/Hlv5fv/4HvZ7PZ8KEPfZDT0xP+g//g6/nh//F/4sf/xb/gu7/7uzk9PWUcR77v+76PaZq4dfMmH/jAB/jiL/5ifvmXfxkvjPt8XWMC/tk//2c8+uijfO/3fg+nJyf2TLXy9//e3+epT3yCIWfe97738V3f9V3cvHWLj3/sY3zqU59iqhPrzSl3bt2yECrmJD/0609y9NotPvGJD3Ht1ZchD3zsmWf4oX/4Q3zrt30rJ8cnHB4c8s//2T/jk089hdbKM08/zcsvv4wiPPX0U56VFtOPpsR2t+X9738/X/4VX8H+wT7Hd+4w7XaIwnd/13fTi3rwd//u3+F/+Uf/iAfvf4D/5q/+NU5OThgWA+vNhv/2B/8W1166xpAG3vq2t/GrH/hVc7TFA7c79D4rd5ZJ12qj2oimRIwFxH+3wsnRiQVHiWw8OfvcgaAAGRiSAakpyufMmu08YWha25b5OqMi2Q6rcHYqAmZLJVOywD8bs4Yop6cnfPLZT7HZ7HxqjTNDYf/ZNaAzB6pqTbtT7VNBFl4ZmUbL0i22WOIblZKUbKJBxadhiDWbVa3tTJdCNVCv1mBj4NX24OSBORhO1RnD5w6jTH6qpGtEJcU5BC4PStH0aYeLWXK4aOl2m0Sh2iQptc6ZGNeximkp6yzbkebo/fQ77X8WDFkE4EiAksIyZUb6qFJjUiNGd2Za8KbhFPZn3+28ZCt3CkJVlwHFPtD+/mqZGpuqAfSTcHhwwHa9YazK/v4BVZXj01MLjilRdUKClpjNLj47F9ues0zBHKdZ1cZVr+rzjHOmTrXZmv1IDAnopXvjjz1pclwdMppIDtUDl8lnxfmE0FI7AyWxThbEFD/YpLHRcSKBHzwX3I0KUjG5RY0bYEbkOMsUOzKqdx58p6k0m8Tn87uUtVVigqRIbVUrVY21xCdYWDXLfydn4rwRu3daNajMmDFVAw24HYmfS6HaS+jhg0TE1hdBmBiKMcFThZJ8nKyz/ylZE71NKipQIVWz51iHWguDQom1DDAjkAbbc+ZddbaHQvpmd1GKsliYPFWqkwUSZEDpzK6lduYjRR2Q0tYoVEeas92rYLKh4vBX7ERtwasJdUIkdOFe6Uy2rza74qB9ZcnWNHl1rzJOW6ZxbHvx6tX7eOxNj/Pxj32Y02OX7XnCZb7F3kXFj7r33RAAsDHCqoy7re2uIEZSYsigWslAdv9fvHpWXTpRpl0jJ5pnjwQHI27yYOM5S3h/qb6u3YskSSwXmTKZSBgMhIWe38CgYtDZf6u6/NU0E5aM10iaFDvw0qXK1fu+JLTXYuMV6RVbKpCiQR5P1kFz8qkzPq8/KkYOdGutlPBd+GhPdStLyebFl2JjRQEwYsSaLe1pTPGV3Df3amF8vmJ2Y/4DZAimOsCB+x8TTrr8s1o/XPhRhKz2+xdWKy5evMB2vNGqUCkJWo2QMP1+tbGoLk/N0k/lxfXuUf2OfWXVyMl9j32O9i1oMkS3sUQ/78F8IYiP/tXYsG6nNqnINlqoBFLykaJFHMTrrApk5MJqmbl4eMDeco/bt25zUne8nku0CYp/4+uJJx4H6CB+mizzwso/i8WCxcJY55PTUwNsqkHKgjup5WrJwf5+KxGBgYnQfF+4cIGHH36Y9XrNyy+/TCmF/f193vrWt/LJT36ylVN+4Ad+gO/93u/l4x//OBcuXOCBBx7g9q2b3Ll1iyv3XAWFW7duA8I999zD3t4e169f5+TkxG1I+ZY/9+dYLpd8//d/v/9RAD931GITPu6/9z6uXrnCuBt59dVXOTk5aTKGxWLB/fffzziO3Lh+nWG14Hh9wt5yyeFin5PNhiIF0YmVLnjTQ2+kljWfev4au5RguaRkuPfeK9x39Sq3b9zitVdfa6d95sXAf/1f/xXe896f40d/9EedvfJSrG+zvb19vvd7v5d//P/9x/zyL/0iQ86s9vZNv+1gL4lwcnrCuJsYhgUPPfQQV69e5eT0hGsvvcTJyQmShAcfeJDv+Z7v4fu+7/t47rnnWJ+ujTGqlewMrmRL0KyJx9ZhGAYEbY2mHerRxs7hDTaKsxVCD18BSr0RypIFm1Ue7zwmYyhzmUjXzkXzX1SNFosFSmljCdtcdmd4GoIgKAfPSwN0BjhyFlorJMmN+UmSkJxszqyD+OXC9sc0mhOMsqB6nV+1n3hc/MCcQZKDBCVNkGpmSsVPvpQGFAFiJq8S0pqZ7EeZsbL+Z75GSG3AOPo+QsOeUmaafAoPnblvozDtg1wjGo1KtPc0eUOq5OxMqJ+qKDH/vMvKmuwqdcYqYRNNhiGzLaMl/5KJk5TjxVhpUijVbGKIxjZHmYqdTjmk5AUpRy0ibR1amVbOggCgVQgO9w/YnK7RohxcuEDRyvHxqScq8TsCXnWszqiKz/u2ZMU1+unTS85CQPzqzt78aTsPw6IUy8UCrcX2lC3gXc/QtaMp0extbitzzb8rcZr9hf8OO6nV7NQKV/4dCXrLVchYaGx/TIZS1TOVq6ihmAbUgER1Xa564p/k7lKw3WCTJBAygPhcs7cyadv3gAdZfzj//rNSMpdTefIkoVf3PRDnGbTGaAGpCSWjsiPrYHIObOsbDLLPHnI2dq0lAWLjkqty7/4eVy9d4qUbtzidRkaEggSNacmojwEu03zuvDfGYomHnc6q5GHhIE7c1orHUG3gETjzzleLpTUzelIfjeEw+LNPxGhQyYMB8jKym9b+bmpLsBRpVYo4sROMKRdcNuHxE8EbNxOSlxxevMI9997DS9eeZ7M9ITmwNH/liQR2b8VHKYokVotMzgOb3diey/xHmg1SiCTMWGbiM1KCZPfTJnzZfzT/Vr1y7K1Cfm5Jav0OEmBTowfMErwm84r4mj5d2jgnLmbbn8JZ3XjyRDjkP2HvISmyAyRzIzOCIkheTbUhI+5YpIWn5gN6Zc57YBIUnQzAxy9hnx0jhkstDMPZoQ5BoqkTOzkJu8ney+D9XCWGE3jSYMmRV+iSgXRcshkTWVLuM9mN9LQYl2plGIQsymIxsN5NZ868oXRbrzIbsex+p+dpAdC1TVJCPG7GQmn3G21Ag/dFRBM2hMTJ7U2C65f+3mZ+yf+gSR2jB6tM5vsGj+VWGYecYZkHcspsNhu2ux0ff/Yav9n1W2DirUwwn4BiwMkcxDRNbLe2GWv1Epjlv+64Tdc07kbu7EYqysKH/MeJXQAnJyd8/OMfb/+tquzt7fEd3/Ed/NRP/RRPPvkkX/qlX8qrr7zKc889B8CdozvcOTpCfJ7ia9dfY7VYIMBuHLl27VoL5JKEe65c5cu//Mv54i/+Yr7ru77rzMLX2qFDwuZqv/zSS7z04rX28uJwkVorm82G559/3lhJVTanOwsIk3I6nVCxEu8gA7VOXL91zV7kQLunDFx/+RWuv/QKgx+KoiQee/wxvvzLv5z77r2P9/7sezxj900nGJsswna74R/+w3/I137t1/GrH/gVxnFkd3LEarVC1Y74jWcTElMpPP/887zw4gtuzNpw4u/+3b+b97znPbz44otM09SN3FekFCUOau+zwH0cmNKcpuTQkRnYtwM/MocXL1JrYXOyRrUyTdVxljRpK0CMc6vCDOSrbeAACHL2n8WbQ6tn57ZMFuDtjAPPnNvUiQBB3dbmnet9FJh4Q6qxO7E5PQq1hEVV2Y1jl6CETeHAjmiKUoYyMWhhTAOlFnIVNA3mjBgdj/iYOQ2man6P1SeAdAAa01Ti3gPQyyyBKCWmJnjSJN5EYyiA0Ov1UXMzdlIhpYUz88pisWSxyNT1mtGZQLOxAEVnA0Bc8VnBKmexWsvkz1N8dJnFgpABtZQQaRAxHHRvsBZJrPb2qVNht9s1UAkz8Atua8lBtn+yA/7j9ak34sLt46MZQK8NDEZTVRJc8mWJNfhntgkf/dnv1n2n3IN8ajKJ3iQ2jVNL2FSZnTvAmcky9l7pp+xGTeIM0LWgVEv1g0mlabkj8osn3zGDXTwxEgK40wJ0rGcBcPYtxtBaemLMXfXA51iTonGqrK1NbesTe8yT/hYHU/Pr8/UL/xvAowGV9rzddYm/k7Ce0MrG4UiK9+WotEoLMoJUn7edMQWKIlGJ8nc1zZoko8E9ILSxrWJ8rLP5Vk3IqPcHUGyc49mZ386IJ6tKXrm8T6k77tzZgAbwskOGRAZP/gS8ATDWKCU75TtYZEuoY4kGeybJqGaKTuRUSYMdL68he4n19JiD9rGUYTOhpq8BogQHWmrsaikc3brJ+viIUo2d11p8QEx8vq+pWOxI/g4nn5al9KQ1ekkCFBnP4meUuG2GZ5yD6BhXqMlqWvG9VTCZmVi0MPAZfSf+rGK2U6rtI2u2Df9ZqDW0+N2X5BTz8F0vnRJiDYCNOIhncnjra6ktEaLhb/f/9iAtCaHO94UnFuFvtfe+2P6QBvQjzkX8s89WO/na95GS2lkjobwQCbuvrTFdJLU4XbT3spWo1jVn7f8eIdT3ftWwM23V5ujvKNgkw6mqV2mqH8hlvSstKvgzt9gVyXnT5vvbDrKn0u4Tf/ZS4ywH9QZbT44HwxS70abWIdIwSSna+tpiz83jXvjPvv9c9yRBbthzJ0mUKhyNI1q3bhO97+E3un4L02lo8olaw3F5FpgSKZmW0EbtJRvB5YYz795N0jWbwQ40sDEHZfGCinL9+nW+53u+h6/+6q/ma7/2a3n2k8/yV3/or7I+3XgjlTTnnURY5MzFwwtsx5HddNICnmLgbVgseMMb3sDf+dt/m2eeMolKa37yFxCzse1o+i5DaJktnHGWbiLEYVilJIrsqDKCLjBWZ+R4PGYkU5IHx1rNR2gyTOhrXbHk5eKly/yN7/sb3Lx+3ViGJIy1diepZlS//uSvc+nyJZbLJdvtlmEYuHLlCpvNxsCM9k2j4s+rat8rtAaPF198kV/91V+1BrtZwpbENHWHFy9wcLDP7aM73gRSWilUPRC2PvhAR8kdwrDgsz7nczg9OeFDv/5BsxUvpYnbVYokwFfB1tXsyu7fSpcGhvsuNplGvJMAahUXG7YxXagDU9WeNLjjDwfVp630BKZl3tF9LzBpWNUs+5ZwuOqM9Kxa4E+VSuXe/RUXliueO15zGtIeFcbszWDEZJDugGMqQ5T1DOy6s6jdFhub4E4Ee+zm0LOPymK+honm0IpG74M7sdZI5oEQkw6MMvXxeNAkSlWrBatYOwdLVeOeIHpG1JuQKcWCt5cnlXhm9zPEQSB+gJLEAVDCam9BUT95ttgkoDJORAUC9fFpSmN54j0ZKAlTrW2cXU7ZZEsuNk3ZGiCtQoY3awlpObAcFqhWtqMlMsGWhXHpXWBFnPYLhliIZsSOQ62xKk7L7Y3KjX2MRHEG1COIQzT/9b6RimKHrdn3hdQx5cyQBtOdY/AngjoNXAcw6O86DxnEG+3qLE77vokG8zbO0v3imRqdiAUz+p5KLbHw0rpI9wORhNYetM9csz9r/qCatGhIZo8xo7q///jlkHUEULLpSQsd7P4mpaowJiVlyBo9CbWV8O25bZ1KFm7XkTu3XmM7TUwZVAwERqMf1UDTvNk6QGHs46tXL/P7v/rf45lnPsYv/Ktfh7qkACqFYQgJgyX6Gu+19rGo1pzahxCo2Em1KpNNmMLiiCBMOnG6uU00S1c1cGumoJDoTdcueRCx6TulKjpN5KU1xcZ6pKRMY/EeJ5Ml2IQwBT9DQMRAvSp9AsrMnsyGpE3xQEzzfbB/wMnRse0DzJbtumuGfyTGczypTsi4L7EkIZHzQM6Jady5D1WC17EKYfhx75lQtXha/fvFqwtqquo8DBDTg9zfRCwJQBiANqpqNuGlepLjVdvqeMFtthY/9IgZZvI9YN4nyCiJHL0Dy4hxYhW8Wn3vSa/cBZi+fPkyImKTAUttiYWtYd9zkZCpf64yq35I+LXAguaDo0IvHnuZxVb7uWyKj5QJBbomj8ORUDgGakDZBzC0dxbVkfBl8e6ojbiMCkgnDrr8UVNlu5ta7I+SjcYPe3xQf5ckJyN09nkaVbuBiakB+VCNKeKHBtooVFXHRHf7t3/D9brlNG9605uspDYraYVhGiDo49DiBQdojP+dOQZ39s/5FRl28VmvBkBq/+4WvNwwklBnc3ozMCAcrPaoqpxsty3wzR18NLoFgI+TNHvWLG7k9udTkyDQdGbmMH1ElUJoXLUmpiqkPKFpyyB7pJK4cmnBgw9e4dq1GxwdbyiSmEi+ySpazOHmHKOszAkMIpRxa81heyvunJ6i3kxVpslt52xykSRxcLDPNJmuXFJyRsyeqwSDoQ6McwSku9bJS2KoVRMeeeMjXLx0gaeefppSrQLTpjRIcqZXKO5oV4ulNchKYtLKAw8+SB0nrr/6KjUaSHzDWXNraHNra34N2zHWSHsFQHvShT9Lmy0dWmeqN2Hbc0scMtVswgJ9nBhnTsCcZ3KW1k3BAhWRVJiUooHhmZ0HO8RdOysA1YLC57/lMR578GF+4lf+Na+enJgeXJaMqTAwYm2V4qeWKmJTuK2EmmytomScnGGNpq+UEpvtrGFJnN2u2g4dinFzvsBnbKcnHHrmGYTMxYtXWCwW3Lx9k2naWkIQEhk5O1u9fd6s9B22lX0aRZkm92bBrDWPAvTEJfYlGg15tkdWyyWXL1/k1p3bRhzUypAyGif4Jun71MvH88rT/JofShVMVpNNDAtqxUF+JfjH1XLB/ffdQ0rCqy6DA2E3lbuChE8+cCIkkoZmF9WkXAGS56RG3FMehk6gzNZ6zgK1Soxr6htB4UllVWWxWlFqYfI9ktKinTyqWENdG7XmoITkWlJnqZKzjPPAbkymOliyta6c9fnmUzyxRJok0GM3MQnI3n5s1Zhxb3Z5hrQ+YysSmIWWTPm5EkMeWhI0hUQsBbrxT1BAEyqFnAqSMgMmyTOfnigyItmqeqqWuMYhMebPwg9YpWXSSi3qgDeZFANhMbgMTZXFcomqekXa7Hzw0z8vXzzkXV/4Obx07Xk+8pHnmMrKZFWyAym+PnawDi77iPUOTS84g+3NmihM7CxRrRnVhFSbGpTFSgYhJ5nPt/YFsn91qd1iGLh46RLb7ch6vW5VkVpB1aZJ1WISCUM2FZVCGhKlhpbbJlHVQqvg2iQqaWMYNbTH/myHh4fcf999vPTiNTZrm27FTNLSKZMOsILEEYkkL6pN9jyLxRLrMahMux1RZc6D2DkZKt6b2s8FkSAnCJmadDkQYgeD0fFCAPMUM8f9/uZ+J1QLcxcViUOb2uMgMbe+CUxm6Go8G5rQ18v06BLfZnIYj6PzKlAQqvF3BwcHLBYLjo+PbWy4uDzG9zL+WTEeeh4HzPeLb7GehMRBjhE3rSfBKQRn4N36mjbfYp623szY+VojvmOxMQ+t12s+TvXuqnAkGDn1mf+hHKildrnV3ZKt+TsJm5pnh3Dmu3C/1nFL7M90xlahVzZsWpD9/jNPP8tvdr1uJr7W2k5kjP+uoSf1JgMsh29ziuNh5ieMCq6lTV17Dl2mE8YToPRMWUKCYYQ0DE0j7Ul0A/dTrRyXU7tP8BFGtGqOsX8VwiAkSiz1zCZKs1MgiRePaau7tjeSGfywKzvhL6HUZKBUKCxFWQ0r9vf2XF8h5MWKospYRgsG7ujxzVHcoJZ7eySpDBk79TQndtVYleTd0CLSJrnUWihaOTndRM7jp7D1gIlG5h9vpRtqTEAQ6aU48wuVV159mRu3b7LebLCtGWxGB4KuHbEye63s7a1Y5CU3j27x0rUXGaKd0ZOitjmSAw/D2O2+zgAr+nzvduiCB2dFW5nTntPLZ/6OTRYgzWYigw4mqvgoUgvIlTjkoj2f74VWZk6WCDaHPtvkwQ7s7e0hwHa7nT2z8skXX+T6jRscb0/NxsQcRnK5kiZlMSwpUkzWFKBSrYQXWuGzjrq2kystaBlbI1raPo2TTY3BSO3nzf61ASnb43HAyBxIZgfGtbMt8bzhlGd73/7uLmeKVeFijcIGI6DR1ums05xr/cG+59KVSzz08EMcnRyzGUf3G9KBiLPBts/1LlnSp5MJ4eDbDHN/6dM0gbdI4/sm9Kjb9bZro9PAYrlkd+dOC2LQCrNNO6vgVTB33Frad9naWyI0LMzPTdMEteum5xWeBtTmwVjN9wSQzVjTuPikD7HIQgGqjzoMkDX3FUQgni9Gdflc7AEHdBLdY00OczYxbGsuXToD7p9RiyNSZ3y9emKhPfmylzTbZx1MNOgm0hImyaknF21qhVVYWyVZopkugWRPLkwGyjKTxjVFhJT2bNpYNYA+etVGaqh1ut3be3Y7xUCYaKyBJy1i1YwYJdjdYFQ94PbtO7z3Pf/KwcQSJVOLST5zVl9qnfnsvjbtUBl8mpJWri5hbw+OR+Weey9y887IjVtb60UaFjZ4w9dEJc6D6XEhGt7DPqsqt+/cMVuK+e+IM+pWzSD1vVZKZbEYWKyWrDd2InjEIZNJeD9UaU/RbMhAlX33drvl5s2bjN4z1c7GaDYWMoqeTLcEGUD6qOIA67UW0MLCTxoO2dBisWBYLkiS2Wz9cDMnKebyRbf2ln2KCFO1RCeloU0zyws71XQ6c9r5PO1wE5/5g0jcfdsi4lip9mq19ZsV4tTh+T6xZMz3huinExbz76UD+5OTEyMxS2EYBlZ7K3Y7Gz/dMVqs46wfKzJwieqg33Ma0Eo/B8TCGoPLbcdp5zE5u00MPm2peYvmh1JK5EWGYo3fYe2BK2I/wtnnnIeVds6N/wPHdIg3GLs9xnke8d9zUqIRAbNl/zRStREslqAnyUzQpDu1KqvViuVyycnJqclTz7IV/8brdYP4xWJhNxYfHDcYBpvzrE/w7Iz0eWaGO84QvZ1pVpkt9HzueFssDxpnDCcWaf5iZqAjNkhj2NufpZ6dS8+IUbX5R34Pu5aRy5mXERlrG8ckydmC5Ec2K6MmhMwyKVcOMzoe8/FPHHE0CjVlDld7yFjQnU0yEUCK6fBsxOBAFWE77sg6cbi/x6NveJhPvfASt49PW/NrsE6x0QOwzg+n6AHeFioa8vxlekk8wMYMPBP40Yp023Fk7SMTm1P1JrgYNWa/UKllYldtTNxOtiaZSEIJBtBnSqP1bIkJnDHp76jNsHYwGx31wbLYASvSHF8DnSmmlDTU3p4/hPFJsk+XGIEAVsFId08ajVjiE5n6X4gzSMxOuTTt5t5qZdNfxqkxBLXCa+str213jAg5D0xFqRQWCqkmSszUUdfvpR6ggvGIE0ZLKa0bv5Ric9k9CEdSGMB67oygn/MQjMjdjuduUHDr9i0HocXjZHeCfTlm+92nFCVnIUokCrij9aqAPav9zdmEsvNVAezjlqoWbt++xenpiU3EcnvpzLv3PwTjFv6Cu9iS9l3O+vvetkRxtmfSzOGnmM6j3Dk6aqxNVZdZSdvRYbKcmVVczb6NTdKGj9t7qsb2W6+BSwqKO3xVuqGH34o0qEOBxiIlYTEMPHjvvewfHPD8tRc53W2JHdTGxPk9ixiP3nwLXo1CGpsfwa7BZ0nYEeYOVlHijIG5XdjXOfhN0hLoGjoW36ZBks/XJK5P+8yeyvrfR/yTmW3bkfBaK7tx54xeQiIC1tBAJ094bcTncpp484ENYnjueMdtSVRPEEwTPbTKRMKSvVrs3abqLsY1v4LpxhGT1SCdMBDhjMbYDqexCtt2a0m4VREV1Ui8s+OkaCDsazZfn5hJvSiF3/GWN/LEE/fxkU+9wB/+Y9/Ev/rlD/Nj//y9nJzu2EbFw5sLwaQiPTb3RAOctR2y26v7A38u8WdCQlrmTruavlq3apXn6HkQZ3IdBHbSz/0/ltWkZETMVAp3jo5Bq487jRN/LVmGPrITtQQh+0nzsUjzmI5CnWx2PckGWqSUGKedDfNIwul6w7ibGtFxN+vcYk4w3P7fVSvU+LnOdhtZ2CfQ9GSVLndzYstOop1V7vyf013YJMhO66Pq2ArPCsM7xAFicDYGRF+N6pyIdVBaQYtCtT0efuhunDavpc5ZbEG8/8nPR/D3Hf5gnErzwc2bhe2Zhc8wWPHY6Cmy+4uuO/f+lhq/4/fn/z81HNmfXQOMn/EtPVGbnzLcnvWueJlm6wB9DU06bp/x2KOPst1suXbtZScSfL1z5uo997Dbjew227tIq3/z9VtobE3txVmGZEHZKuHWXGSNoJXq0yPaAujcmXTWE6wBtoFpaFlPyBXCSczvo6q2yRXiTSg4EAjdrWQhmMsIpmFwUZJi7pRmQB81beZy5WXOGZCPl9vZyuoTbZRSJ5Iml0KY7jHLwKXDzOd9zls4vnObX/v4p6gpo5OwXm8sMFc/MEBtVnIwyUXwpgkzuocfuJ9/90u+mJ9+z89z+vSz1FLceaYGDtRBVegDw9mUWlowIRirGVBXMdkDZQ7kfBOFfEOt6cUY2zgRzvohmo48SrqiiDobU+zPrdFots4pWPWJdoIptbFpzTnMNpioSTCa8/UbbZo0/5xWQk+CTn7U+V2scmjwbE5yyLgAb1rsjYz2ZLHbDOTlPqWD2NAeH8SAOaqcHB2RQztbqh0SojBqQtUaVC3OJEQmK9NLAqmM02g5ZUxMmAULwxnu8Kv61I1eMWiTDaIBSp2dpQeeuOYJ9Jlkl548S4okJeaG18ZYz+J6s5uwPYu93sTnP5hz9uWsvWjj/23vGh+NJ501jleAOf9hyExTYjeOvYE1Dz3ZC+An2D4GptEatQMwxRK0JLxGwEkYhQgpO3j1iSGqCq5vrgLVVeY6TSZXSxktu7b26ohffFFKmY2SdNIgEu675Xwmg5kls/Qy+pyk6KfwOjDxRHLyBCCnBKKMdYJxY5U/1Js4HeT4xBZrUA9Oy32pI+vkzxxz6pWQmHlDWkrmzzyoVrpfr66BFRJDWnglt7SqZPikNgI1VqklcmcngSwWi/Z8UV2ZkzZzfS8OjPZXe+AB1SHBWSZeBCXZfU3KkJQLQ+IPfP7vZKqF//lf/TKnCpoyyWhqe46posE2q4+mQynhX9QPn8F8hyZv6MXjYaL5G5tak5gmpUzFarr+PNY5O5m/VZPQ1OJAm0qc4DqvWEYPWtXKpMKL14/Z6pYpwZSEKSkMCVkkZBf7N3yS0MZLissWqt1jSxhaP4lvO1EGn2JmSa3FGWvCpcs9qnoFQ/vhkZ59BZgNGG+fmzrYTCZTMru1nZSHweaDV+lr6WsRchV3zS1pnCd4qjFyWE2fLDZuMS0WbE7X3qDtdpYSe3t7DMPA0SyBb9PRdPZ9yatAOD70f5nGyZpFI5nFUaiaTC8apMOf40C2us9EpElu2vepuhRXZxURT5xnOMziRWlrHpA57tHcpsmHksfCaBTdbLbugBJaJ6KXTqQnHvga+c2RYxhHqZRiRpZi2/szF/cDVQtC9ncD4vKnHmXsfpbLRYu59rO2H0wZYJ/ZEhv32y25kEgqHDz7vrW/U4JJ6L+vTWI0TVNLwoAmTTU/m12S6xUpl66hPtVPOlYQbEyyaiQAmePTDeO1l5m2I6KZxbDk9VyvG8RPUar2oMSZjdZP7EspMcjgMplmurNsyrTSOWdrptIwWHshMe92iCYVf8gGliPDEXHHSWtabAA1vks6RxMv8v+0jOQAopRZaUt8wk6tjG4okWDMwXywm0iUYZRaJ1QqWTKrnHjkoXt55KF7efr4DoNm0qQO+oudLJqj9GnAJQ/G8q1HTO8oE5ImXr3+Cu9978/x8ss3YgwrbpPNoEJPuVwuqaX4hAslGiOjnFvrbPTf4Aym63U7IxSLYwcpIJYBp9SdgQVeH60H/jOz2dsSQDmxWiyYxompaOBt4gkik451jQY32zA9M2+VE6GxDsU762zDRTB0NnCq7XOh71FB3dFXUDvWx9gi011nsc74Em26k/28eCktGKKwnUhuRQwQgTFBDnd9bWBvf8/OERhH20caDVaZHHu+QnV0mzzqBbs316XGQtj6lJ7UeEkcT1SsCbTYcdot79FmM0DXYPr6NqZeu/OPMqX4w9jMXd9/8c6RM/urtv1v/y/7d9jXtwzp0xJjwGUWfW8Ut71IXmINarPp6JmJv4sAURvA6ns3mc5yqm0snlJn69kDRw8S1cFIQpNJDSTYwSSguQfeaEgW2oSK+FT1PdYZMAcWkdxCm5wQQbuxUzqrkLXnsIY6AwWdQW9HsldlO0689Nqr/k585UX87AM/eEWEIl1iVar5JvX9kgc7gXgca5tX3URQnnAQfRaogfYZwtN2/96mFkleNQB6pupT+4mqFiO9MdET5AsXLnJ6espms23+LdYBzup81f/7eH0yj9GNfW+TtDBZRbKMl1IKG1U+9NKLqBYmKvtpweVLlxjHynq9sfGyXpk1Rt72RamVmuy+qUqJ53M7Sq7BRmwcba3FqqEJitSmMY4TUs32Rk/aMrV6whR+VDDhcI2HMzubSrxtZUfioy/dQV/esHc48PH/5u+w2RTWp0otglR/2V4pTy4rqBq9F74nIlmk++eUMvurPbRUym7HYliwqxOUQvZEZlKbOb6XBpZ5wWkdbSKV4omK3Wrfr5ZoBgmRh5Dgxp7oyew47WhsbdW2D+1zunqgqk3DkjN7fDawwpAlWibWp6WRLkjCu1WJszKs0d4SgDiTIGRpUVGonph0LXdPKszRapMUt8pl6rRj93JCVCkrhg/MT6e2l6Q9szUUu8CcIPaMEPQBGlr6GuToFarIFFVdB77S4675C4GYMEUkCGqkKULysdbS1kcxDbx2uZPduK+B+0/fpzbAAHKqyOQkIRmYTBaryjDAo48+gCo8//wrTJMCJndMYrKcIIlTSv0+ZjHbzcGBdo8nOc+IFAkpUMd5KfURmGEu0ppZK6WYLEuqYidD07BhSiZl/NSnnm+JT1ReIpHd7XZQCoshs7dY8Hqu1w3iVas5Cc8GmybSGygEC9hl2nVw63NAg22vauW3e++/l7e8+S187CMf49atWw1Q5iE1IBlsYWidiYzWFzs1pmqyl++ZVZtFTY/lVrbyLDf3DRwGFf+ca/4Twm676zq/1MHpnLVsetBgWTDgnfOSRGEYJu659woTS5576SabnYIac295it+lj6QrVRlrZUKoOhjbAuxUuX50zM2jpykapySKG3jP8MwQM3t7e0yjMbu7rWW/YZQx5zoG9ZnsIJo9PFt1J6OY4/N6By1JSkAw1YgDTwNxdlANaGpvgEolUyGpaW5Tns0QF3cuxZkqbdpMMAcvXkKz0WE2l76W2iVBYlMShsXAyckJWit2zo76JkpdwzcrM2pNaM1USTb+TpzldodvDKk1SgaLDcH+uexJbBRcsKm7caJWc1S9JGkNvNtpa8C+deL7zPXkchIFvLlw3rcgwVIkd7axRzTkHyZgaMyA2p4Ujaaj7HN/a0uewjGrsyHtft0xtRnxYVsz5sMWwZ28gpBa4mWYq8u1AkCDEqM6k2v0NRigqt4A2JOJmOHe9NOSSJIpo2JyHq94JdsDwWrEFUBgGo1QiGb2yasfqQrJMujWHA+RPEljXsAqWzWYw+KTFfx3YkoOjajoLHmsU0tmIygCaZg1//r36WQa6YwBhgZWqu3NKImLBx8LDOq649BFp7YvxUFJO8F4CO4y/GJhSNajtNpbocDpet0Cc8rZ9vkZ2WNywOXvx5PfqVQWSVjlRM4LtruJUoWCMbKKVTYi4CWigc7OS2hs5GwNRRQtXZoAwjQVjo6OZ5UpY7UN9FrlcoqJID76VsRmWkdirADZK5gzW4WJSmXIAyqZU+Cnn34RtLItwt7hkgfvu48bN29zenJisc/lNGMtDEMHRAZCM+oHAWWX9NQCi+WSi5evcOnyFU6OT7h98wbr0xNqmbo8JGzGPWj065i8REGsKtbkEsAw2Fx4Syy0JXExEtUkn3ucbCvHu63LKB3I4EMShn4wXU/UQAPsiBCB2PabAS87pFKYSKx9mg8jLNTwg8pEGhIX9ve578q9fOrai+y2PnXMnysOFZpLXxvYC7lbyDeTjXo007aeMrSzr9KInd4sTTxTIyT86dzXWhMqDkInqmbvqcI1ZWZzp6enOJ/sUhcfGRv+VGzPJ83IYAcAisjMLr2C5U3R3TdUFktrNC9jaWueQvflUqu2Lg50hGj6TOwfrFgsFhwdHfmYaAf7IsiQYQr/5DE+ZYpXqlOKSpIlgA3++l6x6mn4dWsG0aoMw16rbEZVI4vFuXGcmt+IHrqUE2XqTe8xMWxIA1Wtj1B1JKnNrScr6AA6cfnikj/yh7+K7Vj47//7H+boaKRNifLBFa3xfjbhC1LHlqVXLizhsjWxcxImttsNnTm3wyxBrPlZkp/CPqvUi7TxlXbWhg0dUWiz98PvxlAR8N6d4N7c5rPA/mrg0oV9Xs/1+kdMuhGYPsuP1m1BQpoh9VNa7WejqbBptTCDOjw8JOehBd4ACXESVwMD7Xciq+6OSTVKkfb9KSX2lntsN5veaNUyPgO32efX2xJaub7POz8rKYhrXgGInwm2quuWHFxRyclOLxUq467y5Eef5WOfeIFbd9bsxFhfIeZBizcu4gam1Jqt0ahC0i0MUNxRTgrK5DlrCjL3jM6uFAtyFw4vcOniZV579Trb3Rb1kmbHvTr794RITNxx9nu2JtWnztgEgGg00XZqpzmV6Ejvumb836pWtuPWgm0yxwWcWddgj5LbVY2GZKxyEIcmBIOXsmnTi0tVFsPA3mqPzemaEgCqBUKxw5WwoBva9SZ50EJ2eVWlMImgeXbUfWOsgcjuw6FqNJplc6Q7B34pe2O1Y2RVyjQaTPUOfWl7I/TX0KRBMU1AQ/Y1X9MKPtnIbLDYeiRBpv5eaq0+67dP47m7V8IaXeesTi/hRlCMr9ekrUQ7L+PajTiInYH/dr8aoTomNRibZXbnDFNrPHScYAgJiWSwdmaja1tdU4tNuWjf1faySSQkJccdAdV9LFx1G1w4i1T6Z+x2u+azWgPw/DlqvJdgmOPjg1NyQJ0i8fMEOsC2/WoL+vO9YKC9J0y1sdziwTakDsnAhu9ZDyMt8evPG3ZoaxbfU92XTlrRjbO/CEXVJtM0AKBMU6WMayrBDjvAE2ssc3fLhYsXOFgd8PIr1ykUAwjZx/FRSVmMyHByJSagBGEgKTeN8DRVl+z0cZmqynb2bqIptfVhxAhaiQhrgLbO7SVi2ZnKVMgrMsWPgq8M3FYsoUKY1luee+EFNtsdYxn7eRMOUKYyUv10TQRPxk1O45HSmMJpYrtes//gw1y5cpXtes12fUpA5tZjgPhBUF45EgOne8uBOhamEoMWXISS+947O7nIWXYmn1oT5x6EyMBi6XKx8qlDxVh8oYHDYGZraGnCH3vqut3aO0k5m/3YyVBMCgwCaWBk4vZmjd65yXbauX9ZNNnoYrFgbzFwenraKhy4f6xOFmRJFD/ZuXhShpjUb/DG/VLqmWl44XeahIZobnZJ0zAgtTe1D3lgKsJU43vtd3I2UB/xD3NRJq9yc5tX8BbDgv29fU5OTpwQkIA07Qpwa9vMA7rO/Ifbp5EffrBUqyLPe5dMKnZ44QIHBwccHR257+gkQvIYMPiJ5HFWAWr+oebBGKlSTA6LJcJCasmP5IEylQ5+PR6qRvKKrSnqFe1OfOJVL+cYrArqFY2UIHtlomBqjCVb0pDY6kDxeLFZb/nF9/0S293Ebje6fWAe13sBknSZUDja8IvJJx1Gf9U8Hu7t7fm5OkYUjbuRNpaYxG63JaWh+Wra7vEBCqknO1ZtM9veTWP7nSDvqveghESc2V5UrZyuT3k91+seMfnmN7/Fjab6KXKmV5+mSinSHialkMaErtE2cnX9tIiw9MOSpt3UypChB1wul2jxBoVZwG3zY0sHI2DMepcG2MzmMhWbce5BKoJvlFub9MZBypDTmSAdG9AytdyDdxgiZ5tB4jK5gjBkyNlO75zG6mylH6QAiLoEZNaNa6DE9W5kJA3kMkIplOVAEbUDKaodMVwJENlZi/lUkJSybYJhwXaztWaunGZd97hTr0BGpTv1AAMB8Jo8IMAKITvy4FBN6ztvxFDtDpQ28zSC6tnO/gY0FEJj3brRAwDRWWNrIpNmFzln6s4Sm+wHiJVamGZlysZqiYGgabLsffBNpmpl31wrE0pJA2gytjYbm0ilsVq1Kg21OPgXdYbM6+LagF44lgCnkbXPnQzYGMmQNaknppE4ahu7GsxUlDNt31UeevB+Lly8xAvPX2OzXlsALcXK0NolZvM16e+INk5w3jvQtJT0BNbhQgOaZ5NZaDmId943U/Obje5/1f6ZpuN0H+IfY+eezbv8Y7awJ4wEgOPMHmV+rw7eNGUSaqP0EjbZqQipqrHYi8wwLBh3I6VM9HnljUfoQJ1o6vaqhkckc/YhI5sFeV/33pzmlaFsaznXyXdJ1HyiAc0/GiCJe4vxm5UaQWvmj4JhnkP5WPNIBmoZvWkVazRMA4pN+FKx4GIVSty2ARnMB6jdd/X3N+RE0sL+akFOAyenawrOcjd53OTN5v7+k9VwRXzGsyTyYD0MUZmrQRilmF5llbjQp0afTbyb8NsiQcZYAG7znDyIir+bANaWmNlzVS1IpvXqJMROElJBBmPdRbF+F1XUK1gmn/ANEEmqJyt5yOzvHyCCnYQtwmrvAnkYOD0+opYdNr/afENOA4thxbSb7JCkVJE8sr+34LPf8Q7KbuIjH/kEm23xqqMZa68WOrOXrPLrDWwNfDUYEjEjJ2NCvfk9IEVItlqTXutT8ebE8B9tvxtASa7kqaIMq4G0HNiNO7QUFghMVlddrvYBYRy3dr9DtrMe2ve433bZpgFs78/SiqTBfUM/DXvyxsd5jK6+bwNghV/TqgwL++xpMsmezYoPJYAgeVZlw/x2nZMCGn/ryWDyPgaMiS1TaWRdTLVqhJf4vYVNeg+aOHHXiMOW+eMgORK0AKPZD0+0MdXjuKOdJu13bvtYWKQBAcpuZ3YLFJS8XHBwcMhus2Hc7RAx6U34MUmDgWWsGlfLzgGp+y9JZAF0sik49AOy5vhE1RK25XLJerP1w5wKCx2RmqlpxSA73vmm+3ns4Yf52V/5MEeTkwWM7K1sK292XvFB0DL40hRScllLjFRWHCu6TZaw/i79zTlz//33s92unWlX1ut196etwhn/7h+WzhLFVinzyq+ThLvZgabzOJWSVeeKz/0Xj1HJG/4//syn+M2u183EW7lFSQTlb0Bqcn2a6ZXsVXfpBf2h3eREpDNc6lmJG1qUpyWb40uRmSgsB2uGKpTmmKtnfG2z0pu5RKQ77Xhds5JGjL1LKTGOJjCfb/r4u9DBzwF+fP78MyNjjqA65ND9K7udaaMnddmFr04tlsC0qoUmD2oJrYXMBNmy0lQzw1QYamVKwnbIuAS/ga7492DtjDmzMVY2MecuBlZmh+torI0Ds9qfdV62UzWj7SP4Yt3OspLzqkZPMIxRj98LYB/LmoLV19BjzvSDGoHRnjMPxtaN02QNoyl5+cqO/p4CMHmiFiwb0Ka3pMXCRu45QJqKNdrZPGzrxhc1CZBp5b2G4vpxw2MmC+nP63p8pclxasR1lwSZVNZzbgldnjnS1d4+tSq77YauLz57RSk4fAjUJi8bdzuiyhMHYkBvnGwjKAn5T2aaxsZWgAXGCEBdnmNa0mAQgtWIdxJsRHJGxbatg/bZe1bVGRC/e2pSS/vt76siqc+cn6ZomoYYXxI+pYPdnrC1/SqEnJRWERSitae9t2kam18woN4nSrSGS1+nYPOCoenvH7uvMDtfz/k1t3NUGfw9lDghuW89+9dIkiTea0+KYk3T/F0E2w+N4Znvx/jeKqbvt0+yxLNaWwA4OEu+vg0EJGknsBqTX6nVgngVez+bzcY+B2nTWOIeYlpULE4PiuFTBFwz73Ms2j3WWiAlhjxweHjAdrvl6Oi4+TGZ2bD2zeGfT4tLDWhj/Vnx3XZfFnRzyqZBT4mD/X222503NrqcI0qgYozhZEPPzZ+mud37+rnsYLfdNluqVTk+PrL9iYGOlPs6VLdJwn9SZ+9bWKxWDfjh6e/c97aTbIU+KEJmPwONcMPCbzvgL2R1sUdrO4HYn0sLtRaGIapSbkvR/O3+LiprZTRZ0yDRkGtVjDikbW+1R62FaRqZtlMDfSIwDLmtl6q2xsH5/rDHNPsNRnSWz9q7Tpk8ZMo4okVbzwWpWs9fTmTvTxun0ogjzyNQ94uC3bOtT/gLr4w5sWLHwJq/2Ww2fd1mV8T9qBBEgp0QHx1qvUzDMIAI43bjcrgAwp0AsemBWAIaVfP2HXH/sdkSYzGph3qiilZyhTwqbCqUqPTZQIogahRhsTrgibe8jXFzyrNPf6xVVQcfLJC9OXu5GJhKZb21iouWGEtcPSmxSVGotu/o+7e2inkpJnGbCuDnNazrRMrJZHrNkav7SiEli6d7e0uqVsapuN5dHO8FdulTBlWVV155hbnv7+/KpFPhu1PKdl+tjzDN9ooPOABGP0RvjhfPqg9olS+c7NEkNvq3Trye6/WD+FJshu/gGXEVplEJQjkaU1v3tDtF9cy1XbMspMkunEVCfDYn0ShoG6LW2sB5d1JdsiEiDCkbWKq9iSwC2bxhbh7c2/im+T3NNtpZuUD/u/i8M+U6McNRYJwqKRU222OPyWY8WbpUR4OKcoCVU2bc2SlxOQmJwoOXVjxy3xU++tJ1bmyUnWTGbFozG+U2C7Ce8HwaiNHOqE/T1O41gHU7uMrHH1p8Tc0xtgqGXxb0aEHFDBbilLkA8XOQb38WMS/GE8S75Mw9nWlI6xG+Z76z5wwwUuK0P1+L3XbrlQppwRr87AHpNpQCTBS1/V8FG/bp+tpBSGViKDsOs1DzwDaappIlCt1O+6ETYUI5Z9IwtAks9r3hMJym0r5Gy+WSJ554M6rwiU98gjpu6QOTA5TMJGy2NB44Kjdeu+E/lhjykkmjV0NbGT6uSFBzXjBN3veRP11qE2va3k+bXuIfJvj7CKamT/aZ76FP21t+D2GrvWF8nhzS7LddHiPF9/g8sY73Ou9dAZNdkYXkTX7WT6JtakQGb8yv7bn+z+65gWD/d5MDVj/gzAKCuMQpmqB6ZcwBTRJnfd0fVfXTYA3wtvWSGMVqJhra5Egq5mX2PCSM1OhN3MEIEiC6RqOZ/zcxLCCFVXnSTPxXu+/5oTB2uJPJ2ASb2BFJhn1saRKy4r5DibjgkpjwgYiX15M3/4mNCSwjq8XAIlW2u8LoCR7+Tksp3PE5/OEHccBlmlXY7bZ005D2VD02dF8sItQpyAVjK4dFQouwv7/P2972Nj71qed47fptt0lL3E2LZQxoxg64U1/n5LYcutmQM2x3IzFJLJIZEVDRZhfqjHmZCpoiobbnr1Nit4EPffATUCq73UhKMRLUiYVqUiiVGKUXTedmR0tnQDebDXWaXAdeKVNpCXPbpIScZiZxJUCLx4z2v/nhY0p1kJrVG1Pz0qugW5CFN+/b3rf4Hnury73cQToGmPl5mRM8LjNzlj0IgX6f3txeFabSSAkFtBrJlbLZ7+HFQ/ZW+9y6c8TWwaeHxcjZ7L3GHov95f8t4Z/V2enZpJ7Q9Itawht+plabWJTcpywWC3abzYzMKI0Qivto56l4HFkMDjLFKn61dL+SByMijQ32WIxQs8WxqoVUbJDHQlZkWTJk02rXsvPkxT2jJIbB+jlOsliFbbKKnLgPtN6ySgkGXOI7tVW8ioNd64Xyg73UCLg0LKm1MtaJT7zwMs++9CrHk4AsvZpihGet2SdggZ3kHQeEScOEw2Jgs90aAexA2Sb3dOAePn5+UnL4d5Hi5zh0EH53MhY4Lv4+/tl6UtSqcG1S3OwaouFZS5NJ2aRloerZn/03Xb+1EZNiL7/gDZdFkbRAGS2TShbEqWpBsVl+imc07bCXaTUm2KiXP1PvhE+SO5MArbEq7sVGGHbAHiCiAVnXm6e7DoyZg/q45gB+DvgjYNxdlptnbj0h8HKwCsrAboxEoyAysUjWGGGZozunWZLSg7dtzEELb7hyL7/rHW/n5tH7ubNds14sUDKUQujUoIOXOWCIP58/b9z/wrueYxSdGayVvbqhBfNhDjESgWEYuP+BB0hD5vqrrzBNo22QabJ78gNMcA1oH90WaxVsJi24zNc2rt5oRitN6tyh1opWKxWXWpiKz/iN30u+OrNkMoBiTFkq1Zn3KgyyoKDsrJzhesvCIhWWtfLOt3wGJS/5wMc/ThoWXLpyhVt3jlhvtuB6RsPw9l5VlcVy4MEHH+bm7f8fa//aa2t2nQdiz5hzvmutvfe5nyKrWLxIIimKkp122+1uo+12X5CGAnQ6nU4j+RDki7vzg5IPSToJECBAkI7RQByn7Y7jhp04tmyJlGxRFCmKqmIV6151zqlz23uvy/vOOUY+PGPM+e6iQJYALYGqqnP2Xutd8zIuz3jGM17g6uUlNEasy6BVRJk7khtVw/n5BbabDQ7LqZ9a9iEoTMxHgxfcvXMXp8MBdT72QKk19CCBCHEG044wMENOb1mWgW6b06o+ExT3S7M6Z5IZLESQjX73PvNzK5Qp1mT15jd+fpyHmyVL4GYSIIl7rM7jDO7N2iCHIY2hHFUbS5SqSGaojXpBBiZ1TfWmJG0ECSsD3++T26pSCh4+fIDDYY8XL152Z7y+a59NYEYgdROZb+FghGhh/J56MAZPdCOBicSpT2D2SkCWlXyub1zISPaegG52nMLjSWlKcUdlleyZV85GtSxygIuLc5brj2yGhASSmJFEgZJcGWqkBebUhFCQIFKfWO0CAGWDa8nAvfMNvvb6q3j06TN8/PSIOZrgfB9apULGWnef9ydkJ8O2xG91ozMCrfg5DL59LF2U2+fTjPfee6/zi/vAwAgu4dWGzEuhN86webJl6NV78cZJC8QwKiHNg3B+j5ITSkpgflM98SgANtCWsL8ymFVHkrmxoboyBncJegmqf7xg2mxu+Na1v1j/3LqPRvWz/iTeewQ8fA/xxLO5sIEgqQBlwmu/8su4uHUb773xEyxX175X/AwmXZ+ZQu18+MVpW0N9zPwcJlbrNZJO9fu5SnCdPtqU1VbKdo6XesapjXSw1177Er71q7+G73z3d/H48RPPf10Ou4wevi63Oq5KT9INQMy3EEk4OyPPelkWlFz6fvS7kdjbps06MMjP8SncpXCoVYoG3VEhiP2otaLWBpoR8UZ8Z034gLKIuyBw1RdQwtH4vFIyNhd3sbSEVg1aFw+aM8Q/U2G4ur7E9773+7A2Q5WJn3oixvk2TGLmZYF6wrC+N7F+a3uaADQTqPcMAoy79m0CFsaW6so4jKk8gZHorxOIxN33c5kFh8PBZ22EGpjHsWqrz5cbZyVsBs/1BLOFibn7zZEQDH+xvjeMTxygTH5G/WdvAMqqPZkLgCL8aCQ8n+f1+Rtb/cA0JLQmyLKBikKMBga94c08Zg9PDDDIYSk+0JCOpMJGpieCoMkYmjeLEIHqZXQw04SMsgwsJr+OYDx+rmfzcOPT0WI3UDkjBjHE7342kLkxEGcVvK/RnEhGRNAntya37aacyAprXm6VQQXqwbKtFEcqkIG3Hz3Gs+9c45PLSzQDsiUkS+4ICy/eZ5w2DW7ryQ3HKxdUd3rrg1TrKEmmnG+UPyGZz74KRBiYbvDFL34Rl9fXWGrzDnPnyPf+BN9j951xcaMqM4YwrJ2t9M+IcjINqI1nQr+ufGhxRCJlanevndDq0KYkXZ2DQawwgDA68FwKBJMbNHItkzcNGagU9OzqEpomp9KQtqLNO/XFn0niXDjtpDVcXr7EcjoCUJTM4SywmJg5jLCZ4XQ84qdvv4Xzs4vOR2Qgq6u74+ffFNO0ZYmynQAUzD6i2owKHnHmPYT3IGuca57dOmgMcQ4jx/SEKe6Y+d0GpFNRwvhFUh+Odyps8g1P15VqnPYT6AtEvCF33U9Bwx90FXW0OvbV/Nn64RX/Pko+8WeT8gLewU0SbGTCDMUxgpwe5MU/xllfBzmfrRaFXeh3H6NyyCatqEzhZ76/SATy7tzCLPGhXTxA/W5jdT/sxjP0yZ46ZG97BQrwOQ1AiBJ4mA4G97wH5JgG3SM4ndoTDQbojhYrz5aJ4fadW5hPR8ynE0SiIhU/P5zb0HAPbflRaeCSR0AyJP5MOSfkbLfDKw8e4MX+CebLaz+XqZ9LmDvjUJHQhmVxXwPpDX3rxC44qqpubyPwCnvpvNna+D7zXPHkyTOEUxeLCovE07N/ICWc376FnDJevriERsneEyDr35Pr2Ra/nz5jJF5RHZ1KQdXq1QwgpGLjs5sBWSZQFWh2AMxtvKCLA/AccuolaSakO50wBuP0hmE4gq821qWv21CeynEX1Z+l3UQnRQRICdYMDQ2lTNjeuYX/+X/xn+PLX/kK/k//m/8Sf/wvfx9trv09DX86DfNGAgKjqlmvRsXPO1VGhAQsl3wEgNaiMox+9uEJbT+jZn1dz88v8I1v/iq+9/0/9N9nNfP84gKlFFxd7j1RBhKG6g0FG8azx56mlLDd7ogsL4tz+cO2SEe4eT6sg4bZabEBRsLvEoO95NWeeP+tB6AHNFVsNhvszkYz7el08qDXfFZD9MQJRBRwemQzIN0+x1/7q38DTz56D3/0vd+FtoyYpcCeJc6/qcdrmFaPcWjABn/fO9YM6OqC0Xy89vca1E3SyZq5nUwCSRkZBWYFXt/05JtyuJDkVa/qPREOiEWSl9jvpAFMdAMvoxFaf7aXkPbU+fQSoMyg0dwI2lfBOZyeHJX+AJACiWc/G5WX0GMsuVGBro2+OGZcrK7Uz319fiQe1FtpSNjsLvD6a7+Eq5dXePH0IwjYdBObFobZbzQCieMXyT1jTYjMmpvXKpvwRLw73taGLwwwXzeQWg9wAgUZLw/++28x0KKiiDsUDM72GpH4mexqZVzWvPv4eZhPDAUdddoU3L3/Ci7O7+Dls2e4vnyO5fgSwMLs0dckDFVcFP4vo4ng8UnxZL6mwRAgaQVsonIKDLBRXgxHPpKQSKKkO1bar4RlWfrBMXhAseLAswFv6I53ipIws/3xG2/gNM84nWYkKDw/Qw+81VYX6ub6CQYSzOccZUVgxRde7Xk8Q/zuujEomqkk0Bd/1oQwWH6pUh7Scm5kuwqOGZo56gCDOJeeyH7G0RRvPvkUaFymOlec6hWNDrycvwr64P9sreHy5QtPILQHLjGN0UzoLI2roKo47veYjyeEW81TWgUg4g1PXONHnzxCloY7t3c4vzjHo8ePiX46qgcYSmF/SWxvoMWjoab1+w3n+g+nsto3j55VrX/F9XS9nNjHwQZoxdKLbIODbnEFJUEaueT0T+MexWeZwQMI16FGKF/5OZa430Sw+Bg3rV6tlfQApWTjg9u38IXbd/Hhp59iOR558iQ5/9nl+rhK/SwDtrpbwz4sy4InTz7F2sbQeUU53YN7GcEDz6X051S3g5IGl7gnvBH0I9Cf1tciBAIiqO+33e8gm2s90XL3ZzBYa84DZsDgX7/b56ClWDcd5mCHUyhjDxT4+JOPAR2l5tCCju8ZyQj6s0ewrL0SyfzAK6qx55ZgIrjcL/jDP3oTm80G8xK0Ij53LmU1fZV9DLBRCWK6wjtnWFd2wj6qBx8ZoTBEu5Kg6tNUfR3h3yqnjCknNKn+nX1dRVBhUGv40le+iovzC/zoD3+AU1X6MRsyuD1gxJjqCdcRVQcbRDkEZjdNOFVDW+Yb+5GS9wYYAShJBa1VZAgSyHPOkZxK7Af3h/1SjYm7o/YMpAZFNVDS+OKUxxug1ZpKqoauKR6SuzlHwugVFg9iTARXL67w4vwlTscZS4BmgKstDU5x0DJHssTvzl9ZJZcIQAMoOb4zfyTuT3MxCZq3mxX1USUjt1qb4a2fvofr/T/E40efchK2Cy0si+vQCwh29UrkOOd8zwhauX6tVeyvrrrUY2cKRBIbFAplqBq3ntr0rAYfl1hfdB++jrFYUa29GVlDJUkrgsdPNR5KTlO0yRzwGD6xtoalAV/7pW8gWcWPks9oCDlkg9sgjz2ENMTaVXKcGuk+CjJsla5sWl97X6NlqcgCf9aGJIaGDJnOkJYjDIZFNlwdNVD9qQBQiMwEGWyC2NQT0TgpIgnZq6wBggEjuQirEcPjlmVBzoJQoPksvXcNBkhKkGBRqHVJ7Zzy6KX07zjAl4YAsrtTjjNp6HQ2W9qN5P7nvT53EC+roAwQ7M7PcTzMoDi/Bz9pIDqRNYXO+VQKJLMsBOeuqVgfhRy8ZnP1DxHHbWlP2SiwQjTIo/fgPQ6NOyH0AJFOiolZ7sbev9Aq+OIiR4lx3fwXQfVwmoBBvfFTOl8wVAhgBkmG7fkWf+Pf/XfxF/7iX8EPvv9D/PZv/RM8e3RCqwcabF+fcMJs1ONBMUloDWiYYMkwoaJEA10umDYJUhTLobKE61/djLSYCIQ8dmL2D+dl+mE0AzbTBiklnOZDR9LovH6Wly4iXb3k+voarAZ48Ldy/BHUhKIB+WfuPN3QV1sQMnmAN056srYO4AHuEelTvrcWKibcy2hSC7WfGAgRdpTfIZ5rcNijeYh/7zJiYshGvd/m5TttCZInlinVk1nnVKac3Tko0PzKuSMzPwvxZxFq8ZxNWObqQYsbBjc2/DMahouLHV770qu4vHyJZ88+ZZe/N8HG/WracDwe0RqNeHIn2nxyJoePRdWoXxIAA4kwpVZz8LN9tdywjL21CFjDAQEdNVBBbyQWCYRlKFcAURUwQNWrds7X1RH0pdANj2RMxHtYe0aI2NyhIEiEbgR6qwqZAAUJJVG3d14WUnGieAYOtIpGMnFVg2h4Gu+niIAoThYDjkBmx30xmGsp+wV0B5ZWwTcQjYr+sxJzKhKaxmTZoAXECkoPNi0NJLUH4WHDFFgWH0vuJfmcovwfFJdI7AQhNRsh6yom6YmxpymcCAmv9oVdScUDNXN6ku+Nwr+Hf2cNmyw9EDHTPpDNkDrAMatB54br4wHBlg6Ei42OykZ0oAMHkj0R8VK1geXz8MM5+/m1qFDSWbdGHehSCurS0PrE8dAMp1+qVkHuKmcGqDUgmSceCe++9x6yZJzmGTGQbIBQ3djwjpnTqCy0uHsKhFoVh/0Bi1aXfnUtcW2QYgAaVBRVMyiGMPEcCnD7fIcEwdVxxux7xyp1hoDTsacNpXhbXbCZJiwxEBBRQWWT4lIXpJWSWCkF01QwzyGXlxC0ybCvNMcDaQze/LI/4P/xf/2vsDu7wIfvv+8KctppXGEvch6Sywx6Vj4B0cOQPMARt61cm2rR+B4J+M2APd4l0E/1Hpa4U00Nz569wIvnLwFHiDldupGqoke3z8OWxt3rttXLRD1e8ISfFFbBUodKCUBFGHO/FvHAGNKmiGoD3z/1KggVjOg/a6OcdfjQpg37w97jIvNYynpTbgSHvWKVBaICMcGLx0/wd/72f416eoG6LBSMcHnnkpMnG055zplULq+WFmFga35ehoEePucm0Bi7KqihYMPLBqQJKSVkrUhQzDWRNSHkw8OIesd8FL5RCaMDswbVQMQTAozon7hK6HPOuLi4wH6/xzzPTp1BD8RVFdvtFilnHA+HYXNXr+HfE8yobNQa6a/S5S7dlrqPD8Cns1TM6dveKxDKbr/o9WfgxHspwRTteIWfvvkD8t712IMwBKBr5AkmN4KmBpkKtlNBbXsMaoxBhLrB5n4V6o4PNFzajW4ERJ5M9O0AtVVjsYROIrrH4Vk2nVRCSo6KelAMG0bE6ihD3qR58OeoP8xoTpJ5cM8EQeP+ikCQ0arh1779LfyP/tPfxK07O/zxj/4Vnj12g2zRRJe6c4cAzWqPPFMuXcPVMgdoSEr44hceIG8LLi+foyzkWO/nExGePCQNU8quFU4j0hOwyIsEpF94ljySmbUxibhJ+qWUlPq44BbIoQeXOY+Gzc1mwsXFBa6urtCWCqisFG+4/psNufnzUkdWat5QY0TSC8wlhjO/Y/VgYOMa7DqchkS2b/DGRw+CVvQZnhe/eI6cAook2g2c+X7EXsP8yHiCFaou2h1G7tSuBOmGKNbmBlVEgdOpetOMoVXz+7XSlF0WwAx379/Bv/Vv/Zv46KOP8N3v/i70dPLvxAuek8CQcZorTkuFIcHcISW/N60yQOczu9xXBLnuRLebCa3F9IGIkx0xwiipw88V/FwwGzU3ThyUBUceU6HxBJzu4U4GwRll9tPXMhK4JAnVFnei5G2aGsujPhWQyK5TXFjU5rlPtB2890LUyc97heDp4YgX+xnVDG2tyoJAacyDBp/82W1UUJ4iIIifp8xg8v2rbgRExONX87PmyBlSTwL57G53jGBGDu3m6kofEms31qZLZlpUvEaTuxmgS/OEIMruoSTDBzXnAHeumz9XKRnVaQgMxgbfPmXpqDW/v2ssJ86zEFk1wvvbQyNAEk+2V9W+QFw9DIE3dK4HYp2fnQNWcThE4ER7XZtRFcLRy1wKn8F9SgIgjf5HkwCOUbOHiNQtVQah5MoyIFhqo6iCAREiUjkqovhIILMnpwb088CG38PVS0hDF3ZQrzpocm9mrqUPR+gSA0K4/2LSBaQsWIwTXyWnDorB7Uncf7o3+timinsQ/LXXvoTFGn7v3Q9wMgGkQVJlgKM8gVAOZcxJsNvtcH29xzLXbi81kspSyEP2wKi2SllIB3lYEa1eiQ3UFViLTqSSqVq0HPDog3cpCFDJa04p+OsOFoRsqTBZHkoftHP9TCa3PUbllKlkvPKFB0gp4cnTT3E6zjfAp1DPG+fI71MaIIPZ6BFhbsAeleZ2X9Ko9ptFhdh9rhlarf5+Cdpap7rEc+RcfJYCA7ZA6w0RZ0ys0AgRc76CqifjnLh0KterIE9bUNXn5FVN63aMZTbzwJc2NCiRIoak9Gcm2RPLAugRTx+9i4yKZAvEFEUMBtKxOG8AvkaheNQ9Lc9pAJK+rsmDjk41slVFpCdcTEgD5FGbYUsG8hZmFcUwZKYlIAVzG0e7n7z/JzjzdFvubVaCGtpplyO2ufJqSSkxONAGbSoz9tAalb2gQPP9kycyBKZJI2V+n2GgZOmU/TyDiRuEjd9wICNiR18o36M/58bW4M5JFqguWE7Bv2UmMxRqPOjOHvj6ZV7mxYNJRRiFUPSI8n5X8dBRVqiOpnVUQ1aNO4EIOjWHHDJecuNN9UvnDkvULz75yUwcjM63Hzz7me/OII8lWmZWCWIJguxr7qVTNWQpgJIv9/3v/QE22w3++T//Z/j4o/eYbSMKOOMw36DC9MzZhw+5oWnakERRNkS3l8PMfqauQJAw3I+vUfOAkou0yonNjTWNRDTb8Dni2QZCFOoIpkTRh4LB6jIaz0g4gGmafHrhCpkXD2AQfEVXy4nnEn8yA8QEU86YTH0/FRkZk7BsdUJD830XV4NQVQYPHbkC8lQgOXtj07ofw7ox8o8efG1fFyYC/h0zHbh5lEsEGwiKgUg0SRpiEEgo9MT51Z7sZNy6fRvH48n3lnfoBjYhwOXlC/zhD/4Ax8OMbsgxEJrQRo48PxyN+V6Yo1ihiuTRYAdHRDjP4OLWLdSl4ep63ykeyRgAZklOfwACHR73/LMyXH4ffU1yNU+MnBajcB5MIpXOHf5A8H1KrKHrPdMRwNH21JNQgEnk4HdaNwk3KDxqDE4D0VJ1agjfKIK0uCaB9EUCG8OQYppzL52KBzfmSWVyZQgbxr1TxMIYR2QYf54EopFIAl96/XXklPDuO+/2KkJ8D+moIGlCCrvxnO6jSfVwYCAVnglFKHt4Qmk+18G/NMvwYQ/8nPBDAQClTLhz5w6urq5wPB1HkywiMBooJwL0WAEhOWegApa0v28E8cm5o5EIEm1nkBxDolp16kaMRLehttJag5g3yCbldFcIkBOolGPkQLeKYFaYN98PR+/3ygMOnjnr/qSDhm6/VNtotHcsSACkFRXEQlkighQRJItKHud8mNsQcRQ2gMIGo+20oLckxDTw5HaU9sXvZmOgsCwNP/3wY7RsWJpCU/HADCC9pfHeKUUB5lqh2rAsC5o6DSBlGCrM+xy6wgaCxsc+L/57AEax11w3c6Q7F+moo4LJV/KmX3Lu3a+Yjd4uQ+/VYHFVEJQokeQUMev2Ak6N2kwFZbPx6qh0OUFKtzYkyf5npBMB8EZR83uMjvqXTDGA5kGcOTIQ4AB1/2mzWvMrjdTnxIg/b86TV2oIpGn4JgnbsGpuNoFW9Qm0rCrnMnky48QPA2pd3Cdl5DLhS69/FbXN+PCDd5l40BO43+XvRfALY7UqqrNYGNAjNbQEKBpgFaLVMc7h/wwJDXw+9tDk7g+iwqqNVYAENv5rWGoHOpqfEfXKbwqwBCE7iw5eZJCiNiOhCRH/7l8EECh22w3MMo4HKjRNhVKv1c979j6IoVjogaFwTZLb6QA5GbdkjxnVK3Skvc3zDMF6bgefIzlAbPCkIAEmlQCCGZI0bKeMi7MLXF5dYfAmxJMOv0erpDMabG+osv2c15+tsdXYkNYzIt8h8QC+c87iYKqAWZH0g2uI0nK4Lr/4NoLYCCJD7zMubBY2C0JZ/owmAvMsLRyRWHLH6e/VqTe8sLtNxi//8i/hcDjho48es8EmkA53Sh097Q6ZSHTOCSWfwZS65GysYFAVmTBMYcuMf/k738FbP3kTjx59jOuXL9jc6s+YEGivr58NhYoos8QI7+aXEyL48KMP+a9mgEsIVjOYj2WWHvxoDyiiNAw4nzKCEV//UfpC/zu1COEdOfXmKlggr9bfr5cAnV9qBhwOBw4cCh4vpJe1A19Ql3SCByMKGsdxtvh9pLCou8OE27sNzAxP2xVO/tkmHiYKenMRLCo7TNxCd1YA5z/H3rKEZ2reXDj6LkZoJ/2ZzNe2T9QMFMlLSeJrlSR7UkA95RxTKM1g2rDfX/feilySa84G0kHjejwc8MYbb4ATjFcJCEagamsqhD+g2ZoOlvrnRq8CY+mhALEsi0+FDGc2VmBNiyHNTPt6iD/H2j7EnAOlxiARkpyRkVCMzdmhWhUNrkGTSCmNRp/Yk25TaJCDXpWcxodVM27YHhsP5EHEMJAQOKfVenLlUUV/n0hy4xxZv0eRB6mri3BtW4uA26eSxrP04JaJeb9/cfT8iIXYJWld/h1sBMFxYzR6FmSoqbjvGTzmBAayqtC6LhsPh7r+/VGVaV6xwo0/BxgoHw4HzPPcqwEGYCoTkMRVKXwdMZSkIgiM6YnjPo21jaF80RwdZ3aeF9SlsslNRvNZnLMbzyjCYUsuqGAKaKVdtkzJywIFWhoqMXB6gYRSmtuuaACPMx62SRXNhQDyqnLUraQHsy32DdFhoeMMGtFqC3CJh3yc8RWokAuH1s0nKlRJjuDbIDk511sBT2xKLpiR8M6xoglwkgLD5AMCMzh4x9WtUsJut8PpdBj9XQ4EsFIhncefMlAXJobxvSOojERiKMmMvRXhCPvaqs+FcQ5++FNgNM16cr3ZTEhw/rkMP2zw6huXi/FFgDbGJuQPPvwIkjL1z/2Ml6k40MJLkrwK0D2frZI1T0qjOpvKBK21V75YAfCYQoJqEQm70wBdwpBggVFMQqxLPMLvuEV1LA1uda/0moGUsgx18Cym0xLxdfAmC1qrmOfjAN88uYNZ988icOlQTwghXpHLaBqyhwJk6rHnVim5i+zP4W8rhuT6/EHNiSS+BpVUMBJOf5YyTYjow5YZm80GTRXzPPfAOibWQgx5KqwUtYrWAqWPu+4iB2X0YoXPhZ+bpq2DWW1VdQk7r7qScjWPaxBVEweNAxjCUCfsvLr+s0Pyk+dQPMEGVBZgWpDUkC0DVXA8Hr3HM0Os9SoB712C+JTpPw0U+0Wvz8+Jp5dEcHn64sgqyOQfAgAlusI4CbPxdZNpcML7gxsLzhKcT4eXRpMNS6cJCYsFrzN2eFxUNWZYKSe/VFG69kUzw/37d/Hr3/4W3njjJ/gIOgJfHU4vxcbD49sEiBTkdIbNdge1Cj0ppGYk4TTIJtU/QzEfD1jmGS+ffYq5ziw7+rOwcsGJrkkEp9PM0nAuNKLuLJJfkpQGstWztHBoANSDl55leuAagV1OPRTv+9h/GfB94n+y1Olr29fYjVUkBDaCyJAWi7JUVFagTJ5gdPamhtYnvw2VCt4z10K2qCOgG+k5GbYp4+HtO3j93hfw+t2HMGt479kn+ODpEzx7fuka38ZeC3fKMciDaH88u3ehr+ghiBKtJFRtGANn0NchADfrFTnnj4ehKs4bdFqZQRydYXDIhvTmkzkFSBmn05HDwFpFkeJolnWUqC003JOkboRG4/UYR05mhCcSjch58u/j8syrAM5cD3lwvLU1XF9fx0GArJKYrhmPCF4Foz4Trni8hgwt17YFGAlA2IuHlohACjD+6c9XK7m5iggYrAeykhjwdSWJSICBvme5+IANn+Yo7pRDxWWcZRvn1R1gNOmu0Xbm2eRNB1LEYW3k2G92Ow4zORyZtPh5iObetaHvFsjvVCBlEsm2AB9+9CGdv0tg5pxhzo9nxUfHekkkq2u0UPs+mKNkARQgnsG97XqIXd9Xt7mIJER4JttScdADP8W9nsCrpTYcXUemMRIZGHuM8qopuCfAHhyTWiX9nAOsaDSnOI5nGZKV8T37vwNoi6IZMCGjGKuFCwY1LxeDSu1rEmpKORfkNHkloGKVygAQH6STqKvuSiybacK8zJxeiuEfIYAUv4NOBaEKjicY/rNEBT3JDfuNqPBIbziPf48k18xgXlVRAOKULrUEywUmDdrcD8loZMwiruLBAGk+LcQ3LMy8efLv/lvXtBPANBSToiISdggdiQ8aVimFfQtKGdTWDKWEik0CaVb+9TwkoK3hniuAG3NgAJ8STwpUysUDaiLzjQ0KBDQQvmnMMIgYo6L2hkbTAXDFALL47ktrEI2zGLRFxgcwQykF5+fnOJ1mzL2fAK50N/aYiYdxOJgasmSkbpO126huF8wDDb8c6gpJWbz3TAymntDCYFbxyScfAuCwJB45B0kloXjFfDDhnSeODMEElQxCskr53ZqQNAHZOAQqT7h1cY7WKo7Hgwfa5OQxUE8wpH6/wvYz7uCaLzbz+Txq3m23tPVLpc00QMXBIXFb7v1og34bttLPhCoU7AVLHluHXPnan6wlf3NOPpF6BWBGjBz2TwIMCZs2/EL4/ehJ4GO5TC5OSLoA2EAtY5sN33xwCw8v7uAH7z/BCxUsM8+t+Dyj3M+BXwPvF1zPafhzD+L9u3oAR8Swy+i43rhjCz0AWgdNfXqmL3IoNQ9N5wKYdIWEcHLN0VbSAypKSiDTKDLN8Z7B4WyNGVs0vdBlBocw4Xp/xB/+4Id49Ogxp3dJ6YYE/vyySjIMI0BJ0gDMqHqCFGWpZHuGDGB/PGCuC7QRbbVmfYpoZHwK36gV2tmD5OA7OiqzzGNaHy/CQGPXvDJWGP0GqUF6mTN1gxYo3ji567VDv3Tr910lnz3ujzWKf07TBDPrg6Q8oe4BFiwa8IYzDpZV6gFq3ER/pqDJiKFBMeWCX3rtdfzVf/2v4Nvf/jZqW/DDH34fv/f738PhmkgEpc7ctkP6OY0EhSlzJHUDpSBtKAEynCQsKjHhdv27Y/DvY+HWiF1z7G2NbkoKqk/s2ZCzqkpN5JAFW88LCCemathuJ+q5O90gbn9v4krJeQEe9MaXi7XFWPuunV6JbCUvF3aDIc4PQBhDImG1ab8TwePuSkGrMxMG3DIjF/EmUkkZ1YAlcT/IEV4FaE656rKxvBX9+RMSNpsNqk/AGyVSBxZEIF6NmnLxAswISLF6L9WBiq2RHjoAdyYRAKsn+Sbk/SdgU/gsZZqw1MPqDvHsBRUk7EfclzViOSpw4YQMzUeNQRLOzy7w2quv4tHHH+Bw2K9+5+b9ZXARVAbc+EyDeYKL3kgsSH3NeuUhgc4w/WwZN4bhhbcJ9ScTYJlneHjR7VbYkaAB0v9Jf95YrAAhSOW7+Z2Wyu4McbWW+E43lFGiYmcEZpINupxoQ1GBpoKkggmZTlNmKGYkOG8VEcSGpOaQPY1zkxInxLJvg6h4Uw4flEi0EHvIpBDOZ01Q5NVZBtAT/eJCDc2pdyshbf5cUx8mN87LjbOE6DfxyoFWlJSRk6G4f1x0AZKiCYPjZAXRqLosFZzhJ4gmbg0E1FHv+P5cK68C+HcIu6e+FkyGiOIH73yeq9stoenttBh+bq+i5dQVxnIqmOcjxKTvjxiw2RDRVU/yw1fQPwcIF9RbR89XtKuqDQnRkyA3zlM0EY4qY+q9VnFnw4bEmp9OJ09gEi4uLnA4HnGcT4xpPNETBKXSf8/7QkSi8siegaUZ1AQpT1TKUspkZmPTP+lWmVUkliK6rdI2u39LLgxQum1cJ72C6BFy1oMJJCk0uT1t2dVdAJNKydSLW/jyV76Mw/4a73/wPs+88kxbaxzW5ah4zONhNdarpAYfDue+AILD9Z5+lowht3/SqWTLsvTqhEC7vQm7wYQr6EWkQo+el0S69+quAMB2u8XZ2Rn219dolU3KKWeU5IpqK7AI/r6K1dyFpt7b5vcl7KM1CFjlon1lBXoywbfufRFff/WrePvDazxZTrQJyqS7JweRXAVVdGUH7TPf4ee9/kzDnuijZKhO+C0TeEDmYbyHlQyG/AhHmRIY2qjhOFOgDKuSUuoNcCMgTHCevXDIT1B4bnzp3rQFeGs/IEM9Qq3han/E8f2P0SrL1zYsS8/+alA93DldbCZ8+cv38bVfeg0fP3qGn7z9CdQyXnv1Lr7x1S/hbNrgrfc+wU8/fITD4eClZL88zuUFeCCSdwCfjkd+jxhcA0GtihI6vB0VdEecxX92BHIpBdUC/WJ3eoFHFnTMXrpKYQD8/3lQ5upI/bJHgCQymngGYjJQmhh8MBqBeRhzYlEuAi6YO3U3eq0pjbWkQdPoXpV5FdWOMm6fn+PrX/ka/p2/+Tfx6//GX8JcZ0xTwqOPHuHDTx5jnhc37up9Fe4yTfqljxJZaOGvA6JAojryHOvrrzVCS7aUo/DWP8nXDsMJd8MTvGqnyvjTrBNaAF32s+9NJDVmqPNM56irvfX3jsSUZzgSTd6RZiPQiURJvdrQPyvuZf/O8eY3g0QYE1DauYF4dJw+7q07r40ZijYkbThWRU0TaspAclSt9iPVpcqCotKTwrj7Irh39y6++OoX8c477+BwOMBgjgQbRHm/6jJDcsbt23ewLBXHw3EEpZ8BNSLoTU6HIe8dN9CstZRjzgmmCUAjveR4gJ1OnDxorvQSAbrT7tzg9PLyoCQF7WiABeSp0rnkJLh1cYFXX3sVz589wfF46MnR+hWScgg0LM5bD8IjgDCIB28GhSoTDdqlcBbUJo+phetg/gYdx9817H8LuUJJAKLSRHuqa+BmdY8i0WQ1ZZTMb6LsnoQGDdM+o728ej5qwVtfHtLrBNXY1FpyRi4FczWqSJk5lcEDN2nY7jgXYz40tOo0Bl/f02mmjQtd9cQKWlQ6IqCFNdqbBAcKFNsy4e6du9jvD7i6uqKcgQ/EahrqId7L1M26n22wuvZZ6lO3XwiAypABpFpRk8G6HQBUhQGEGSWKZexDXSrgAaWs7j2VT9y3KJus46yMu+G+u/eKECAJjjfpgdI/K4xWR1ctBibxnuUpU7nFqDIDo6Ld2dk55uOMuhz7542ge9XTIAyMmJCywsskJQJIwKxRd19iHoIfNg8kp6l0WxCxCvc19fUGmFgdT0ckydhstnj48AGePnuGeZn72WXDZeu/RxpNyFFyD84vznFxcYGPHlF5LMHZA1rZ/5aBKQNTzjgtikPlM6nTFOlqnVapDZaYvkXzbVCBcnH6SOO9NAgghikZUlKwlrRBKxmpgj1mmXThZ8+e4/r6isOmxlIDYHUnl8IkqS4IxT4T8dKYdJ9gHosw4Yu1xMrmBRc9gCiuFYspDkq6bwEiGab9SEE1M+17lVLqfUx37tzBa6+9hnfe/imu6zVy4bT1aBIP32fG/ql+EVd/F/cPAZLRQhAYTMYhVQpoMlwnw794/118/5Mn+HCZ0QqFJtiPNeJZEaDVSn+6upc3RVV+8evzI/EeBLg5IeqwXoDVZQmDIO7cJcrSwrJfGDwox85CWDqJYQaI4MGA5KPNiSj5yXVuYGy69EEwyRfERpazSgBGo44HuJZ8JLL17E2Vkmx+QyBCSsPDO7fxH//mv42/+K99DX/7b/8jvP+TZ2wseXAXf+0vfx2vvfIK/n/f+RGeXR8wt4qqMyQ45ELEqcXnhyH8jMO11TMUd1g9qBRewgg8IETrs8udxc7UFvxvn2TWqRcrlNSihDuCVvYREH3XSoOY06hGADSgETip73s4N+klyUFfCocESDeaIgkPHj7EslQ8fvSJ/5kPOKCLgwipEUurKDlhkzIutjvcPr+Fs+0ZigD3pnPc2Z5jN3GUtwllTmEMOiM5zC492Fq9EW4HSugnswcZdBJ6w6nBvwebu1PXDg7uuGDVFAjpySi6g8Zo4gI8CB7OMPYefV+GtjYN5M1KBvxZw5FJYxMO/PnEz3QPMDwgkeTr4IYux5ClDEAFVuP+jaSYqBJ64t1RSqzLnbGO/HttDWci+I2v/hKOh2u88egT7GFIRhy4uKNU55QnfCZI9O84kltgnmdcvnjpd6NgiWFW2edKaNCzzFEyp3YJQ8twnLEv4WhDEoyf5wlSlPIj+QG6+sQ0TSgiOJ1OsGRgoUE8gVoFW1GV6aXvUa2K1C85rSyC4pSj0mN48fwpfviH15hPx+7AAlBQZQAYCU8uBVrHsLtegbvBWXD8yp2TRUJufAJJnOALoEvtfpaHHn8miEqFf9/U0xF+vkRD47AF4ZjWiQHXeVQ/BwBhrN4w1ui2eT2UJV6dU4zaAZ4Gyhc3U2SnyCyJzPi85p+2BkmKzTbhN3/zb+Ib3/wq/tv/5h/hvXc+Ra3BZW9EyyUC1DHnhOspce0B82mV4spPIHL44N59bFLBfr+HuQ2Icj2wajz0tyG3llWpnOKeRycRfmYNIpk3MbQENAEEBVkF1oyIbqi9SIVf+G57iVy7VON6/0LCM2hxic2CfbZEPx/j+akTD/dBVMQJHxxN8wBGACWkyc1a+9/xzPD3Si6oicgwAyiXn1anbKUADa2fPcDQCHvyfKhTeVJQ6GiXU3xOUPwkktpQ9Bq6+PAzbCB9kr0EhmWZ8eGHH2BeZq4eg43QyeCZb67UlD0Adwra9fU1jqfZaUYZWpVqML2vq2E7bfBX/8pfxk9++j7e+uATwKev9nWPoNY8kIYiF6f1iGAzFUji8/Kme4xUBEmbSyMLpixoaYZhAlRQlxkHM8ynA3v/zMGfRG30GIq2KRmpFFxdLbzKnoDeu3cPV1dX2F/vu98140TmJIIyTd4zAKeQJk8m4QMk/W4jwI4AXFzSV0JdaMQmtBEZbcXuVlW8ePEC8zzjer/v8Qhjr9b3LJIr7hnoE/QmXRPxu2GDA4AwJtHsvpmgVvBsPuHZ/hIn7PxA8KKGPDWV7xzc9WaYdfD+eVF44M8QxHc0WKSrd4wmoAg3PKjxhg14oJ2SYLvd0HDV+Hl056XOAe26yH40wwklEaRSgMgwzXqWu3Yu4SwDudAYbiLJKS7Wh794W/bgvnrMFnGbQdkpmQSSgO2m4OWL5/i97zzGuz99D/OpYiM0hvfunePhg9u42G2wmzbYbqi9S36+B8f+34Fkwsah7J8aRhVcv91uh2VZcPLmpl5C7jwXR+GjRd5fyRMj/oRgkwtIM2o9K2YTbSQ08HifBiaC/RHUcH85D0AC3KCecjhuRDVgBI2QzyJ53OuPP/oYZoZlqSO5c4UAg+Hhw4e4e+8u3vvgPdT5hMv9Hu9/+gg/fvdt7L70Ck6nA37y5GO8+/QRLg/XqG6YQwIrkGk1UpqSc+z+tG7vUDMKGha/b+6NqM3P2Qg+0LN3NjWTDsO74dWk6k062c8dpE9mNANVBxobXsVWqifGMjj/G8ipMMmEJ2YSTkVRqzGZdeWlDIG5/KOCAUwgJ8F/TymjKkvfSNIr+NxuRwZvcABBWUe3bLz71s/gDXqHwBEWN4o54QuvPMTVy4L85DEKCtRcktCdeiR5SahvDqAb6TCUUc4/7Pc4HUhdKZsJkDTK+GATW2sN87Jgv987ahspWtSExlqEI2dCm3oS4D/UbUl8x5KyJ0kF290WVRVzbTBQWnUdtK71kcMJdCnJkiFqzjF2bCQBoj5FVZh4m1ZcX82Isnzc50CHexVJB1IEDJQnvkeQZc1pF6GU0+k9i/ZzyQBS+rpGMD8ojxFArJuv+DG8e/zvGJ7dJfxWaxNqDxwLDzibF4bBXw1nDz/Z4aA5iCX35+r7xWwJ2jq+B3gz/IUqztDwcjlBywWqrpYr7LAIvv71X8Ff+ct/Ef/in/4ePv7wBWqdgdWZ4d2T1Xr4BFPj/ojTp6ANIVNcG+VkP3jvA+qMNwNKdtuEjhwLVnQ0R/tgSnUykaFnEVdNhkgAv76rsEBgothiwZ1MqsbLw4K6OLLsgJjEfrtvjAQf3Qeyqt6U/O/wW0ExXBZv2MyCSAZir3MW9xXJVYNGE3UPXnLQOoDgVgrMc01zxQ+D1obryyvA+pJ4Tw/tb4AGUa2mQAFjkySswuacMbsvSqkgJCABc8rMqNB2BZmUkMT5/CBQFudXm6I2TwLA513m4wqw4t9JsiEbaNl96rDfZlQTmpcKkdxjqLzqK6raMC+G997/CC9evlxdc1YE2ZAbFfNILj3RhSHU1mIgkYh4lYoNSq02QAW5JFxgxiubhk+OC66tcHZHW7AsJ56wNPZQrWG32TBhXk6obUESqoWpGS5uXeDf/ht/Az/60R/jjT95ww1C8m8YiT39dfYmbfOGVPrWMb8ktO2T+Wcr9emp669DxczQAVnAQzz/vHmeXYFmVFM83+g+4oY9yZ5IZo8dO6VndUf95mlKyGYQrRx4mABFwUEUkp0+ZU6z88+PmJR2cCSJa3+zBlB+0evPxImPD8rOnTQ3gEQRrSs1iFDeLpC63W6HV1/9Ampd8OiTpzgej1wA4+2UzJHJHrlj2mxxmufOt8slOzOXHoPT58BDoSzph1ECWIIMx5VKpoawOnOub7IO+g66Pfe/iwmD5E5WCB69uMR/909+H3U54uXljJMUqCR89PQlvvsHb+G1e8/x6NFL1LlyKJAkSDbqhSYaDm1tTBbtnzsORB+x7Id1s9ng4uICz549w+l0wjRNmKYJx+ORAV9HrlIPeMA4nOiOBVsQPdE5Pz/vahNqoJyWDR7jKOlY/+9oDIyBQvF+nSrk/x38Nu7MjVjGjSUzz9Pp5NPwAiVXACNoOB6PyFcZaIoM4FhnvPv4Y/zWb/8LfPTJJ9hfXeFP3vwx3v/0MY6tukJD84YoR8k06EyKttiNy7d2/rkUQDLqsiDFVNdAwS0uegymcpRNnVtZRhOK9QQtDhE8OZCenIkkbLZbbHc7PH/xvAeK/ZnCUUQlwIDQmQ/OqghVHwzkr2YRlJR6QxhFYZzXHciGUc+YTXaRmHIvmkc1CQyWY3iZwittvWx5c6w2ZKXa4OfEJL6L4Lo1/PMffR+2VJwCURdxjVxqZ3uO7E5/NMxrYyBUUoYpkamm5CKnnFhiXyrmq0s4EYBqVSaQ1HoS1BOKUJCJTe/7FTQA16AGF1BSwlS8J6FxenQpBdtpwjKfgKMPuYMCiZZp2kzYbjY4HPbclzLkCDv3P4lXPwR1ib6duB8N0rzSJeF+rNuK5msSr07vcpQtnFmsH/dFEaoJodQQNI1+UIWVIyiQS9wb7TbysxSOSNDi32O4S7yluA0I2yar91nfv5j4GXS0yBuZyARlz9dAx8/dSBy7fXItdRXkBCRVaOIOffPVV/GNLzzAb735IzydDw6SCEwprasqaLPg//X3/z/457/12/jpW+/jcDyiNjYsjiDWKZyOoPemThi23s9SF6Kgd25dYH86oirPyfXh5HS/TNlBU6guVI6RoKXQxm6nDU7zEaYNmzJBBDj5tM9xfkf5ve/NqGPifjb8D/71X8H53Vv4O7/1L/HkOkN0C1jzYOxPoUqtApr480isue6KeQnxBVK+aJMCmeca1cpGSXhQHpQa1bo6cp7UKhvxxXimWlNSYIx2KYmgzsvoT3Hb9tneLYFLSiISTAdEKv87JQFcTS674lv430h6S85IAOaFCBWDYNr5GJLI+5owlQ1gilIyluXYufO1I8iRIDmO7ABZ+GhWJBz0oa5aR+tZlWGCO23OMJvizXc+QFWlApMqoIT6447bYK0BcDsp0pPPFlUPLw+kZKCQqCeD1vDlhxf4z/6N38Df/4M/xvc+eIEmgiL8joj9cr8y5cKpyTmhmeE4L/3vc844nI74wx/+AM+ePvNqSYb4c8Jbaee2xFHu1CzP9vs/2XM1YqQAN6cNVbGOxyOQODxRW4NW0qXWZyyoo2YEILsinPdP9T1xlSz2P4VfJt0rgKXkkX9XbxNW4hoEEEEWA4R9QqaFXHlUDo803l3pYOuoSjFxXG1gv3N/zkF8yhlVhxwYQQdmSkhA1cWb0gDT1qexNvXJVQCmzQ4GOmSkcPzoSIY2xfnFbXzx1dfw8aNPcDyeAMnQBpgYppyIUpnrrZoAWdAnpYKXzlxTNCZhqVKSKcG7nmORxIaKyLp8Qq+LlCfIdIHt+R1cnS7x7JNrZOGYb25MxSePr/Hb3/0J7t95jP3hhJdX15yA12x0zZeMVDKScbKlejNTBGUAMHnZq5lx/VrD1dUVNmWDLBlT2RAhyBvkrP4zM4jyJv6+CAcF8YTRPASnUgCY4nA6sTLA6MaRwKEhz3OjXtpnMGSgQaDhBSAh4emBUVxySeT0w8tT1lWXfR/YfGJY6VXfkHPixbm62uN6v4eINwFLxscfPcLV5R5v/clPUOcTnjx7iv1y6mtpEqVUcQDSqQopaDrag1gOBjJ0A5gTRDKyTEhRLjZD1Rna0B0voCzVmyKVqVcfnNQNbUTEpAyDl4WBU9kUonF1xjIzUWt+eWOybQTIjmV1NAagbjoHTlBaTlsMOIrJjw6lRmLl50oDlRHxyaRuEBurAKYgVzIxGWwYWtkxuRSInhcmtkF9iwnN1P0FYtCDJKCJ4PnSYLWxab0Zk3uYD+EBh41YqMOQBmeVn7/dbJBTxjKfWCZ2RDIBuLy+7oa0aoNaQj0cybfPYZy5bs3ihHk/DQJR5B1OidMrD9cHcCjRirahRFBU2TNy+/wCL2rF4XRied+NvxmwO9timgr2104baU7Rczp+Mj5CbaFTz2CjS5wJ+dtBI1/bBnP6ADzJatp8/UMqTfu9EmqcoUd9/j3Mq4/mts28WUvElRs8sAuFLtJ/FpRSvLmLzbrZUTBdas/Uw46b+fRbt89BaWRyOALO5FWgLAkhnZqT3BRAkITaKlIKPuyoWEVjsoiDB82gTbo5Mh3I4VEVV6D0o7WFzjslNKHdQiI/9p13PkJ6j6BR8x6KocQjKDlkVkcFB1AGYz6sECmhNvZcNVVkmZDLBg0V8+nUNe9D8piIYOoV2T4YhxaNiZcF/9/lljGABWJWUWn0gBWssrW8Q/UhhAaBJT9jPiiHUlsOJOXok+rkrv5Bqo0DtVKC1tYDDgoJBMXHgRyQBx4zCLIn6ZIJQERDak+ovWIsroYgdMH8TquEz2QktGKknEhUcNT78LLTqtrQz4qzlF3Ynk8qPvjJUdDIdVV5JnslwauAXn2K50sGWFNMU8HtO7dxdSXYH65J/eugFpPEruDgCQPPW3KKkdN94HRO8WeOBF6AeV68WRi8uxG7yEiuA5Q0i+QyegbCBFjgSB0k6up/SYAJKAW4XhRvPr7Ei/0CS4KcCsQioR/MCPG7uT8uMK2YtgUtEn8hWDefjvjpWz9B73MLupOrBzWjnQlRjFy8LxCePE7uD2P/GaT4P/2cW/LGUz9zGsOoOHl5nhnnRN9LnIm+bmJMQkIm1AHFlJPLqpK7n3OiGpKM359SQSgECgRzA1IqweZDFlKSey5rSnpg6psCBSfgaoBNq1fMmRkKVT//JfY5w/1vfv0bQ9bNQJTU0bwe3vQSaPKsy414Tpg2BUkKjseZNI3s6FM0WCm5UJtpi935GY61YTnNiPIDTCFoyAiucMbcaLBS9uEjapx4Zhw/b5COdpkau4O9YRZ5ZERmCjQh8u7fRaYJZXcXv/Ltv4pvf/sv4Xu/+zt49+0fAvoSgiOmkpFkQq2CqUzY7ibADKfjCVXVdXyBKB2LwKkZgNbWM3XecR5kpKB0WOe7pxhY0djwwx4Bg2l1mgW3r3iDCRtQkvP5nIMXaKpTVmL6IoMGOnJLLoVIkw/rElvZh180mDYOt4AHq6Yd+a5mCJMkMOw2BZuSsb++8mBExjAkuCPyDLYja9Gv4GhRLonrwoVElozNZgOoYn88MuB0raaQi+MlUORU2EMg3lgjnjH7OWGAzUuoTsXKmlDKROQmJ8ztCGhFShunLdDRqvMOTQ3LzNHkLGd6uTcZtFFJCWDJME8TltpQa6UGsfKSRik8nIZAekd/N0CrwDIam2PNohIS02MBR0pxE6kDvDjgDlu8gpMlYzktHuN6P0YJBZulV1xKnmA3jDo/j2gcz7rT/mgDkg+FipKnN26pEK6lKkeiQ/JKAZEKnoGSC5IJaqtQPztM1ij5pstCI6gNDaUj3Rwtf1POlucpefOscxzdKe/Otvjig4d4+eIF5plJbjRNBlqXPODc5gmnuqAlBiawoUQBX2/1akHwuMW9RzQbqzmVSZVlev+cnGJKbDhMp39pULxc0zyeDcmn/lIvOqpeUV0QxNAk2hf2ysCBAKeCuOOMpIaUNKw42NHsTdoIjKhXFkAXVw2DwZx2xgZK9ZAug9NS17zdCNbckabEJvpAVoGeHHJKovodcVvRz3SoCnkgnDJak4FIWvPkAkjaKAFrik2ZSG9LCVU5jbPfGeZkHgwFfx8rlJr2UGOvMJCyCNxUV+pQ5jNFvLo4z7ODBZ5cNw4gChfO3/NejdQhFayn4/rN4moEChvJu9+7BMUmGc4mnqeX1ycsKDBElc1cdnc8S7xPaGW3yjWdNhmUxm2976yX/EOoQCjp2ql+qrAOPAyMUD0IZ9OrB8Q5OQA3uEEthPwdCSXFJHNKpwetOSVXVyFIWLXdaHqO51xXbFjR8aBXjHKQYP+OgBxpSQnI0YfG813SdON7m1fZy1Qwbbc4HA6obelIeKdBuBBBcOP9pCCy9pKp+26urKaNts3cPvOwtX4+4c8fewQMqms/i+YTuWHYeLXMRGDJe926j/H3c9R7kzOSNkwpYVagCoPL5IpttdYOboy98fgtj/44WX1/s6jA0X6Eul98F9oF6WfIlHcCiUE8/D3MkyMzt9nweCrlTq9qbif4DLxzy3Ki4XZwgupSA2UPfXwOxxPviTBP9owqaEZ52ZAlpeuiNHgE+UjBgkC/k0AAtfBn52eGPHj0Sa0rk50GufYXELz9ztv4Ra8/+7An9cEI2lAcnV+UAVdk5MOqjCaA43FGEjYf8bvaoFu4QUk5oZpifzgglwnnZ2c4Hk8dFWM5ULGZJqQyoR5OQF4dDjPnZaFnRVGujCYYOCodmX3OUeIQmCQ0NTRMSPkcd7/wS/j3/qP/BP/Bv//Xcbg64J0334bYDEiDVvXExbC0Cj260oqad7iTHgLhQeHBoRFVtIF6RGDU4AEMkbLNdsKmbHC83veJhQ2DAkR/Pw5Ba62XzCHqVCCnhnjgxLvGg0qqRQK50A1OwHFH5hfNHWbTMEGFQILG5/ccHVkoISg5IZmhlA3OdhvMrod+Op14UbyMWJ3bSz3w6LPwhMIRKLNEzWw3tBpUlpSYOKqitspgpqMg6M7UjINmuNaTc8YVIg1NgZQmJFOILUhSsNkU3LpzFxfn9zFttrg8Poe2Pa4PVzhen8h7dSdagybhxz3UmyjF5qo8jv40U8yHI+k+KXmQYB1lNAvt6uC4Y6CAa0fkqFsgykEbWufhajqQp5VTE0tQp99QV56/m7JXnJKi2YKcY2Jh0NcAiVHSFs29rNL4QyOGHCWRoZsNP0NIpJR54C9gJc6Q/PdIzUGndEVPBTBrA1IhcimAWEOyhtyAO7sNXnvlIT5+/BgvF8rxocF5uuMMR2IEMxRhgumMNdql/QGP2yMsM3WLoyQO8I5Er0Yzw7HOwMoZeZjV0etORWvKeyDSG/DJgfbkxly2Mokj1gwOVJkcqnPvb0CvGHdd3OuZUns4eXKgbV0+ZjN0dv6xSAeqx3npyPZK1jPQs0imLQa7cHaXqaF5BVMkSC5xFMIZcS+zr0GrI6lKvj9qBjTtAf1NWUvSxzpts2nnjvLnAgEOe0Gn1wKQQfCRgcUMrQ5q4n5/wGGeYTICqnhfNaCkhO12i1u3b+PF8xc4ul0PXya25oCP/VBVTNMEQDjIxs/H4oOwyHV36bqcvLLg58cDS0ZB0nvBqDNOHnsfbuQvonTrPhm/RhBUFVzO5oHhxu8hT2zQL2/0H7idiYAqYs01DcsCeZSMVhWSGoo4yTWFH/BqQhqIdCCs7nmYQKTU6V/qoA5s0DMZ6A9ll5Q9EBLmZ2qKkgpKSYD/96hkxhkf/T0dsfazzOp/DLTyBknP1s1G4mZmqAFQOArNSbb8vOPh2JPMCGLJKHRwyukgVUNWcPhMEUDbAqiCPemehDjAlPx+RjOw9URyUNsGzTIakKkpDw0lwNhXVz/ycx6UPXVlKQUgeWIAr62vz3ZHacarq6tOb15ztUN+1ixUyW6CRjGxnMMe3cZjBLTx82HbPG7t9oK9fWkE+wEIOArYGv0/0vBzMDYb819tdT/kZ9avtSGHGw8gMqq4TMxDUteTQx0TXkVkldxE8hiB/Ih/P6voF//svtl/RkAgm4BIHr0kv+D1uYP4Gh3pjnq31jDXxbPrNToAD8DCKYN6on7Zu26uZ75N1TVhHZ1LAqjifLPBq6++ivff/wCn05EX0Bfrzt07ePDKK3jrp+/iOEfzl5AestqU3pAlaaAp3Bs/1NyEDDqsGiUxIdexHg74kx/+AJMBH33wAZIwa4MmSmPFwVV1pleDKQf/8PMSUioQ49hzjwdQpokHxdAdpJoheRkFRt44vERl5qVIz+rVQoYyDg//JyJefuMlqM0TpVhwrC61hdN1pM/JiNFXEN6R3M84TMkTrgZqKlOBwdy4l3Dk2nA47nE8XDN4mlKfLBiGCWCA8YUvfAFnZ2f4+KOPGOjHM8LPRhhEDCdGila7MVCmn78VWiHuFHNKuHNxF4dlxrzsgW4MWg/ExBRn5+f48te+iW988y/i3sOH+PDR+3j7Jz/E/MHbaIWZd21RDneOXGZ2Ll2qz9EV8EKfnZ8DZrjeH3geJPvShhMOREy8wWfwlqtP8E0r5zaSk6gyxTl0MxJo4I2hFI58KUagLGwCmpcZSTIyw2o6rmXpz8qqu0eA5gpAgQrl3FGD2hpynpCEfRgp5UFr0EBZ3bmI+Hj3hAjE+PSpq2QMVYigLEUyws+fsuD+vTv49PkzYDkxINWhMhVnnV/fACP0erbd4d7duzgcD7jaX2NpDfv9ARBAjclPlJsDLQmSgYZtA2COwEeguTbKfE70ZwjFI3gK2BvvOx8zNPiFkpWqrDSU4t/fnb6jvMmpJoboA4lGqJUE6SoQjMnNgVb2NXFnjdVzDx6v9GQHwd1e2/m0kpZNCVISA1zF6lwH5cpYTpYIHHn+etAv8jPrp59p1l875OEoIzZzWTiJgAK0lcLR9fA13e+PmGv1uxkZePgJ8+Y8VvUmr3hG1TIqlvGZAczE3e12E+Cgo25bff+Sr+tYaL8HCZtSMJ9O/fuvG7r72ZJxnrpti3siABw4Em9w5fMODftAC0esYxAZtJH+uc7DEKcgwvnVuRQ28JsgbwiGtNZ4rhOD29ZY9Qhql/kalVKIxDeXqxRW3tnA7A8ow86Lr4tqSKjGWQWQeDaaJGgldTSSzaCUUIOdNL8hgelVDheziLsd28bKlAHZ+fUdsFlXLHztwOSjqcsD9sdnIBb89m47Vgm+1128olqdFESfjAB4eiJhrk40kpp+d32/1Ct1uXgjv2JQcnQgyLbyj6pjoFZ8l2mTsbQF1X0/VZd8Lw2DKu3JOZOQhphXsLbZvYIrwQgYgf/YXyLptVIXviSv0sKVkiRAHqNqDwAkfp9cile4gvomNwAJ8/ss/pw9OXJQCat1jPhBUtyREXgH1S95VRn+/5vTyKPSEWAntyzWqQde/QzG/UUa9m6t8GY2YtY4L5/n9bmD+CzeJR/Zaym91ItE5wN4+UFb75o2c+ZKcGq9DG3VGwlEekCWnH+J1nA47PHJJx9TJWDlxCDA9f4I+/Rpl00KnCEcrPizAnBxBukBcNy4FEG/NUjieGaq0ExgyfGIw6fv4rv/+P+J7/zjfwBdZiTZw9Ls6DYNc6uAWQYro374PLaulShvzpmHvTuOsFzumEr2MmRYWOeWLQsRJjeUEDYcrr4utKOACVlYagz+OifEeXAD//KfcUCppBvBT8jrRUn0hpNt4Zho5DeT4OzsDPO8YJ4bREpv9osSrZnhcJrHQVUma0nYxHfr1i3cvXsHT58+wbLMCLTWDC7TVjplJoZWmSnVV5z6re5ofqacStMCSEIpGZumqPABER5klFTQnG5xcesevv71v4T/4X/yP8Hrv/IK/vhP3sbf+a9PePTJJzDZA6kCXk4NTmrOrlwiRN1grrHridSyUIrMfMOi6Si41IGmAdYD3JBuXTe7hOGIUCEm9EZAH9+5o3KrpCfWJzlilrwxFX6WyD0mbSomeS5zGwbM4FxgoJQJBkXTMalwu90iqDnNS6Lb7RaoixtZ6zxY9Wf3XUIfpe0ONQKUQMzQrHO2myOZVQwvjgd8/40f47goTKg6ARlGcR1UUfmEVqKUhPPzHVpdAEfEpw2HnCyLevBoKDmTu+nPG44gp+RSsXrD3sQ+dFRqdRajciS+78mRMKLpoVEv3quCnqBZVD3NaVS+dx3JEhmOPCqSbgtYMWsesAwkca31DUQdTbrDWjsPARDTgXnmy2pth7OLnhoCNYIiGZYGatmpThK6z05BsZiYe9PRUy1FEEpZEXSv5f4CwOiVhASUyQfdaJT446wXNAD7mTKAUeIPtBaA2yN+3uFwwCefPOq9H0FjmMoEynt6v9NqXddUJzrujBjsFoF3D778kGehqtLubIelLpQxFbfRHlCErQ9lsfhvnoOhmgFwKqrCUBvQEAkZYNpAMuGg2QGrBj0MGoS2RrQcGdN0BhFwMm0lgk7apqDV2d1ZQmBPgKBMG2RJmI+kpRWfQh4SrQI4RSKoQ6Q2EZHXzlf37NHPfvh5Ag2bzQbWg0cGkz3hjrvpr1499H1qS0VK/A7mQBrXjme7mk9QbiMRjfdZB1W1TwIPohATS0HqlaTgQPdcRfgzvOsZ22mL6tzt5kBmcbsu8eUAp+VIDxhj78b/uW1htN0rg5BR1Yk17XfXt169yjOfKrQZSqHyl4ETtDmN2npFz8wwTQXTNOHy6tIfkv+LpNMsbMMQfggAgzbQAVtzLvkqmQ+51X5Hm3PjYT0Q16UyzTTe87ZUpwmm1V6gx5b+jV2xjUnvZ8GDCMJ70paEvj5F9WDQWHMaMp/Zz3fY1LUgSIClYRdiGquqdolMhVIGtjBWi1gnqgef5/X5kfhaGWxCXNqIxmHwb9E3gyhWcPlGqYKKKQxuzLWAwXXjQYOSJ5iAWmdcX9U+2YwNYjzI14cDrl1uLpp6JBYPw+hHxzEdbgwmsG5oKVXFKXMQgL6VZWppFaIz6tUC8wYh1QXA4hc7dM+95NKAVOiYw3mYDWNvBnKxM7w06WX6RjQhNlgQ6+jfwawjziklVFV3fly4cRjHexC5dVQDnvk5wml+sNEvJlxjHbDILg03ApFpmkgRcjk1tQqI4tXXXsO3f+1b+MlP3sZHHz1GQ8JSx/cNWT8e4JCbM8CNWl0qPvjgA3z44Qc4nU7MmpFWlzr194ogyowoYzaBSSBwI4gdl5K/SJ624OXLFzBdcOZ0lyVPmHOGoFAeatpgs7mFu3ce4O7uPl7ZXuDbv/RV3L/9Kja7C1w//xSwjJLFy6PmkIxBSgSgMZiFAZlBMM9L/w6BfkGETrKwGYaIlgFWeAsafL3cSFvQBNw4pAhP0b93VDdWf9r/jdz61nl72y2nIx/aifQOny0wTVu88sorePnyEte2d71164G1iGC320GtobW9TyVlH0GooFCr2HA4Hb2J+yaybjaQEjp1u2FUSYcxNF0QJe+Q7FMRGBIaGAidFp52avczgfA2N0SCHAEUhHfiOB/xySefYGkViyrSZsLF3bvYTBM+ffwUS1NMpWAzTZhrxVyX7lCghmatI6jrYAErWxAUkQg8g96EODK99O+UJoA67+50WUZurCqRPIzei7ByeOPzhh1YU8oCUBjBo/bEL85NHJskUWVDT0Z6823/2YaQw4OR8Q4RNlUrbV8yYJoyNAlOjfrSuaNq4RQHLSakgcNfxayQ4J2vg/x+1lfUiViHBHJVQ2Y0Kr60PRMA8yFIA/TJ2SVcY9icf35yygiAHsDvdjtst1tqvRuVQgQMbNig11Br9BC4/rXvN3vHrFNLejADw7wsqF7R6N8tznvsk/+8xXr4u8Tv5JRQsmu41wbJBckiQAOS+JnUymboFc2kNVudAwGEvRZM7hev+Dho4DaOcyus+/cMUh2TZFhLRHNRnPedKGVoRIs7TUYGfWbKGXOdvbdonM91Ip5k1eeDQcto67ko3eSNIC5Fb4kjykELpF0khz8BEOW476hDWK+CrHneDBCHNLQDIQj7lXjeU+l3O8pC63CMVBLDrVu3cDoWXF8fuQ9qKFsqrVA1zMKw8Pe6rSaYMRJzV6BxMCTQ5GgBWK9n8VgmEmD6ZD5f+Giuc8KyVA4hzDIoe6p93kVUEEKEIaatdhnZxF6oeGb43vHssieEAAJ77aQDrYNmY/6ssEj6fK6PJzHJ/YIIh4NN2wl1aYyrBFD1+TAm3veA/ixR2WZQrf1sdJsYAi7KykKCA6ISAgDrPpE10DASvs9SaVojXSbiYiYMvFfNY5sOdP4pijV/2uvz68TH//xgJefMbbdbIAmOpxmSqOF7PHiZyxMa80MGeMe9G22ePx++AVAK0nmSdFAuXQUZAVKkqGLhqhlwUm1/BDjGZs9olDMJJH9c8Gg6Y1LBQzxXL3WpH1ClxizLa4MOwNIty2l58tHM0T2uShoC3GlYdEeHY3ejpAbJbOyK0pv/lh9kBrUMajgAKqXsTZyGlIdzhU9kbK05airgBEFHFA0+2YzOK1Q3AIygI7jvHVmzbhC4UKR3lBISn8D5+Rm2uwnTtqDIBD1QOSKUZngztRtgGkU3sAIs89IrLJQJHFxIxhX8nVYXcmOTQCx78DfKlFBvKvRAJ+dMxMfYOLnbbXF7Enzr7hZ3p4zvvf8U78yKKgI0NmUfjwc8fvII7374Mfa24O1338Tjxx/gdL2HLgpUhaUhPxm6+fNpJtdXhmOFG7joqk/9zAfS4uU6BWC5BxFmNMI5F6hV8p4Th1t0SkYPTrlugQznnLv8n64MN5Jgs5lw69YFlnnBPM8d7eFaUQFhnhc8f/4cR5fEK2Ui0lEbOdsADsejIwYFrDxlGvt5DqyF1DStvXIX7c40/OgGNM69AC5RxuD4wYP7SDnho48eQXImBxtKSlZbqSvYUJMIlCSl0L72SoGZU59d3tISjkvF0ipb5M1wtb8GACx1RhZgO00MPpYF4aSTf691sjRK5OhBaDQvkTrnEwpNcX5xgZwS9tf7jhabaS8rmytOMOn0QNP4HmtUv6PkvETosrSr5+lBboqel0CR0O1fSnkkkDAENMdAPyhEI4jknRyOhVJ3XF8Fq0/UP+YgFxVgsQat7AlJAFIuHN7TA6DhW0bAerPaYGZAM4x4SLpKRrdNlfKbdV7GWfhMYhNIW/RyxL5F9QNmZFz1uR3W74YEfenES5On4migddoHJ5RqH2q31KgmsD9IIFjMJ7+6H4lkSGtzPnNotq8561GhG3u/HkUfiN80Tbh9+wwvL69wnCuHC2rzpnJWRuENy7zbGSF3aN7Q3N+PjgWLzwtQM2zKhGVZULW63Qq/wCpO9ICpJwVZSgebWnM5ZLj9zxkwRVVFQoMknxbgd6gnwBCg99uMZvHaAv2OczPsy+DCe0XaaUUMoLzabfRBWSi4gaZeBWEssHgAlaP5dUWXa23YWSahTB4iwA00eppcdtTtUNAscs49iV1qxWa7xeXVHhCv9Jh5XxHjDfTvxNgnFX63tXKJYNB2OuDpfqYF3Q1UQymSsMyVfnLFJQ+ZR853YfKf0iqIBqsH6jatAwkWuUb0S42KooaN8ORCPXaMCpXJ6G1JKe5cBMMh9kCbyBghdTuRQlhAx0RjmOHi/AKHwxGHgw+3kuQiDr6fHu8h3jPO3SphFEkoMVunzoCx50+ESDkBFw/QTSFOGxWLSkAALuM8r1H/6EmJ/0UMF0kmBSFuVn5+3uvPJDEZVkfElVMguHVxjs3ZDp88esxO8br4poQesbKBwHw6qy/s2igBQDEDHGVoYJBIPu7Y6AigWbq/2UQRQZ8ZKTtnZxsspxnqpRZyrNvgfCL48uLDpswVVgCRAsvhwtywoUFApJQWWFEbg7fJ9XzVO50Z7yoGMdZ6IJtSwnY7wRQ4zRziFJe6o2zuoOGBd84Zp3lBbbwMJRdeDvGEYJX9qqpLt3mgGcEhGCBKjzii5OUZdgTaN9D95MhL9ctikFwwbTaAVjx+/BT/7J/9C5yWGbXhRoBLNDGa9MihjAyVXPoIOCJRYUMLZZ0KQkpKbZQ8pTdMDQfWuWgrukYSjtBetEJRsdtu8I1f/jL+8tdfxW9cKB5sCj7+e/8UHxxmLDnDEifGnU5X+PD9N/CP/8H/HdPuAh988i4eP3oTy+EKQEPZEN2Agrq9gCd6RLQG3c7pNikYjzy3yZ1+U4UKG4tonJzPKHLDsHAfV/sRnHiACaMNyo0hjp4HVbjJMfZ4FnVpOByOyCgdqeEAlIrFFJf1GiLeHxL3k8eFDrQ2Lx8S/co590BVEMltOC0mahIBmFJ+lAiJT8uzUT2S/swDUVIR5ClTJ75RD10A58Y75m6AIXTXaViZ7NbutAnwegnWA5rkU41PxyMHdFnwH+l8xJveY7hdcbWosaphDjyg0JVSjf9/8+bPWivaKlEHHOnxZD1sQ4qkPn5G+N08Xuq/t93tkCST6uCNXOtgn/d9qOwAkTyOJPCmExtJfFcSga2cZu5IKQCfdxGTtHkOp82EBKOCD4yVu+TTI8E9Z2BE2xj0sLWrSuLOuQ0b0XXpwbVAnHPzqsHquwf1p5e7CzXNa7uxa34nPMlqPkkyZwIJvnYCJkuT03RO3n8VWtdmhur9QnEXFZEoqOvQK+Z57oOHYi9CTSrn0hWnaDdX9If4Z/d7kcC5B9MevqJWxfX+hJQKpiKoS6OPvCGqQDqmAb1CrDYQxVHFHNSGSNBCbjYCsJANDYlfATjAzgEYRfXvRhJM0ELNFFPJ/TPhAB1sVO4DsTShSlFv5o/kNtZFVpSNqArkgaZSBrO5f/TAHkMGO0Fw6/wMqA3Hw4H3sQLRa5LgjZuxvxEk94QYCGlPxh+p359QdGlrXj5IL1sW+sLLqz0bXxsbvkllJOqbU0KRjM004TCfVuABZT8/e05oe9HtrjnIBWXsI9JXjjbb92JokTjg5onD4KVbt02RCPEZvPcGIxEeSPUa5e9kZwdC0iqO9AqzMNHYbDbIecL+cOj9Nozn4sldtAQGrHoEQhNfW8Pz58+8uhQ9c+gxmUjCbrvF4XhEQ8zS8LPud49JmisbRnnA7dLk4E7FgmiEt4gZPUaJxnr2VSgClARGrwuE82kuLi4wzzNOp5MDmNrfbw1s/KLX5w7iWSrSLjNpZpi2Ey4vLyGH/Wp4BznTcdjC+BBto2ERhBHxDEmApIqL3Q6mihOAWV2CT5za4Y44JqzGWHl6UXTnFxn82dkO1iqOs3LUdhrZFJ/fD1ggaW5Iki8mfYXB2T3jMHiOTBvCMm1dPKAwBhfRiEInIGhKWtBUMra7Dc7Pz3E4nDC7880l90MAG/rSnE44QXLGEhlyGL0e6DCgarUNY7LiS5ryOyEuRKCYGAZJfVpaaLereunZv2fQb6i2AdTF0To11OUAJIOUAlg0gqE7w1D7MJNOkWAg5uvolCwRryQom4Rj7aQbhMHxbH6urLGkFs8Sl1LNuccCtASosOHq7Ow2fvrJe3j7eMSzoyDJ1is3DSk3nE57vPfOj/D04/cgyLg+vsBxvkJdZuS8YLfdYp6pSmReog2uapQhISlyNr84fsEdNc8p0CsioFTbQQ+UU/Z1bXNHJ4ImFd+7p/hueDuCixWiuUIpJCXMi+L5yyugss/ALK2COh/DDq8uuOZyBHl92JfG2vLOZa+UmHOSw/oEz3IEtIaMhN1ug3leeqIVesHwM8v7A7x49sIRYV/LyibqnIAkPNOS2aQUCFRtDJrgCjMZRBu1haF2pxco6EqBRxqdZvXk6rjMrvRhDjashht50s8GPfQEjcs+ysAQD8A92TqdToNX3Rqq+bTfSJ4LEdzmyGcg0bduXaAuJ+wPR9/vhFu3b+Ev/5W/is12h+9+97t4+eIZ5EbAjsA9+K8pUiT0pr74OzpnD8T8eTX+XRIECjGn+Jh4Twd//fzWBcyM1MZEWk0zdQ4zIH3SZU9liVi7beoJek/Ouea2aoTOLp0bg/Kyc42DllF9EFLThuw2JKeoxABQw6JzD0qsLw7teXDeJfzaOrlJUVkDNptNlw4O6ddA24JCx6a5CCwZPOU8aIBMdhJEmwddXjXS5rbB6STQyK57AG8IoCeCUPPP4J1traK2hs20QUKG6YJQ1WFAG3RN7nUPsrAOUFNH3jltnNm3FNI4OCPABzpFsM8d6/00dVkgWIkN2whc2CCdmAAap4UC5LwjfJNGYiG9dyQqixaBkt+DtPbnYOXg/OwMAJyeKZimTf+OYTNzEiYN2nDcX0PUsCkZZ2fnuNzvOavFA26XaumvCLKyx0MiilB+61VWEVSlRGFM/jbnzqsFoQRYGpWXkMbdN//7Vit2Zzu89tpreP7iBT59/qyn/62x0hJBJAwYwwhl/Lt5f57/prp8tYL0J1eNhYB2D+YJvIMIAfhx/cndVlWfKkvfPRTx/Bz5/41JpNYTyQjqxzMy9jBVWDLcvXsX2+0O88efQHVxFJ4zGiwZ5mZdej+Ssx4bJIEYlWNkPXclCe8TH5D2pxmHgAr6fS4l+XMRYA0ASdugLcWgqPBZAciY2ZAuXtFkdtstFXQkJssa6cYGJKU8da21U2xyAiW8Q0jkzzuIV1NIFvJ4PeuZ5wVaK5Lz+OAZZJRNONSEmxYNWqSUAJEoJgDJs6Bbt29hmTkYA86FzCmhTBvMSwU8qIexjF+mCZsENgVpBFa8ANeXlzQoiZ3FydS5i6NkSlUZ64HAZrvB7uwc11fX3qDnRsoDNsaLqWfdgegTARS3uba+8xx8kcjbvXPnDr721dfw8MF9vP3T9/DBRwuWyuFRai2OP3sqhOg4aUp8x81mgylPOJ2ONHwaKMEwfBxYA9fBBTPwMNbqvQg2msSCoyxIpCRBenCy5njFQB/q07MhNOXS6QzJNatDj3U0ddHhajOIJfLJ4cZNgYwZGRXNJsAKKIjGa6c+uKM4utJMe1NmNEemzrcdnFMGwZTPSpJwOi1486138eknT4DjHvNpxtOjoJUNRAxJWElZlgNOxz2uywtA2Jehbixu3brA/ft38fjJpzT6U8FSK2JgGNd+haAmoEyZ/NFAfwCXMA2jn5BSqAPJCCQw8lMB6IgMqKdjT1Ij+ez3CSNQMqO8XKC8jCjhEoSZRrhxKIt6+SBGQcPfb904GQGeWwLEqG5tFbNFfwXLj6YNUhuSKVrxipsm7MoZvvnl1/Ds8imevLjEqRlMOX8gKiopURscTcAKRAxvYiCVUySgDCDU2bcpTY4WVogJpkRy2cP797HMMy4vL9mwhqA49RXmvgnL+0x8E0wSypQ6RSK5mWTwyRHigoRNVuw25MlfHxVSNkzedDVDw6pndEPxBkkgU+5nNc5PJA2xhwbDaeEZVJBzvNlt8c1vfQt/67/4z7HZneG9jz7Ey6uXSOrKNt6AnKUwifV5Ff2E9LL1aIhWHU2GrVkXJWAokFfqH9rvncFw6/ZtAOhIITWXvcwv0iUmWX53pGvFDw0fwLMcgRqTe2opK8QUWR29TdIndkZgEoED14t7WN3uUCLUeC6EJhw6aAridp9xMhvjatP+Z9G8PM8cLR/fHxFg+j2BBTc7zib63RNhI6YAnAot3sPl4ET8ma3WN/xkksgEIxgPdRcBEu2dMp4lkAH24MSa3kDgPW8LX5GDjuUJZ9j7OCdBl+RE4LaiLJBWEWcgcEPSCfnziERAlz4EjNQx9qUB4r0laQTnCgYCaP2ZyFfmGZlKdmBNenITNCl+gDdozi4vCAIm290WtVbMM9HOzZQ9aWCAe6yV0sG5oAIugxyJ1/CdatHcTT+qDY4QS2+4JH4biWIEwRE/+N9L9LG4xLME6m2wVrEWHFhqw9NnL9iHoe7vsvRzPbILcxNDW5Y2Wwg4kM0amRGliwl4tac1P/fSn5nUOhf9CAeEkaT2hKzbTadp+X9rGmvWk7yBF4yqmZ+xXq0tEwTAy5eXMLvs4C3gVDgXRnDSFYCw1Z6cBNXYkwPDoAznVJCKdOlGnVuvDhJcKNii4ZdeOcedW+d4490neNk8wbJY3XjFAKaY4A6/r5Gg8YdT4UC83W6HZa4wnVGKD2ucG+1Ubajt5MPLPKHxhEzgggWrT/55r89Pp4lbbdqbOlpHI8VHvTsy4Y0dAA1Dg40pdeIDFowDXULGqkHw9OoapoZTI+KXckHZbHB2fo755UsaAtAWs1RYUSs5n+apY5y9OrODOYXhdwSDnPFlGGrfAIEgS8Fu2uKAPUEC0Fh0qbxEY8GvEQMJPGgXjOQF8Cl4guzBWpaM890Zvvr6l/D6a6/g0cePsJ22mMoW16dLXl4VmPL3Ap0lrczThYVNSzkPznnwzHuzUly8NJqQWxtJVhxJCfUYIWKWUuF37ReDSFcphaXTQPe1AUa+cxYOXUg5eXmV/yxl7P+yLNRa9mYec2qVqiGb4d6tLba7jEcvFtSasE2AJYMiQ3SdQHnBLpGDiQQkl8Eyg0ugVQYfOZwV2CchGS+vT7g6zB01QU5oWpHyhCQ7tHqC2cxyoLJxpznaVmvD5f6Eps9xOi0QKb5OCZKsoxARDANUG9lOLI/CDJOPZp89gWxr2U4jWpGjMz0CHDhwAcHF7TuYm6I50sUkWUYC59iXX0OoNVc0iGvLykQ17v02KTIU5OMboI0VEEldq5zIQ6CUbJwbybcBoq68IKimnsAnIE0AAqUiyjM3xYuXz3GaDyjbLQ7HCmu1D8DRpqhomMqEPvzEbCA9kOHsPWiDwcvvfvdM4SM9kEWQGVGjGJuGGL7FxXJ8xnmJ6sEuEccJF7du4XC8QjspBFS/UTv6AyTAEjbZ8Bd+9XVUUfzhn7yPw5xRW0NJVLxZ6txBjOCG6tI4HDqcX0c0PCj1ZA+JiPjxdEIg8EgMVF9eXuJP3nwD025HPr8kNIuExge5OT8zkr4YlsWqCvc3kmSuow9PAWCOcMKCu9+6Y5Y4UwJcXr3kNG0vEKmj9Jz821yGF35HXblBhBzoQOnVIOpnHxQ2hPP1oQa0hrNScOfuHRzmIy73e95xR/RYyRVsNhm7bcFpqVgWDnISt590uuohpyNhMhrQcsm4e+8uUs749OlT73Xh9zIHknh64Ps5BtjkUqC1QlY+slcfhNOe0zQhGQhE+TuFfWytek9K63QcCCsE2tRtaXbfQmqQWYOuvj8RR/Tgf50INk+OE4K3bcPuh1CBRvLgE9ghDpQEmspjb2aoFprnXDf1ROYb3/gGRBLeeOMNqqqlDJFGShoNEH2Y+y3eX3EfVmCJiHaOeQBmfTBgzJBo5j4PwW93AKRXawdnGuKc++rJTBaYsVrBoCmhqpHYmYC2VOzrZf9svwn8X8/7R0U4GsdznmCpdkSZbUsecHul20wxZeGcjpLZ5ySCZJx2yp+nrRL/VIGgquFyfw0ChPTP6qBQR7IR4B3Xadqe49/59/4DzMuC737nt7EcDaKLV4CJ+NeY9u0OpvtUJEQ3XHz3OOec0cNzENLG0bgawNMaGe/KRwJIcQAUI7mMSrEZUDLv6+Fw6vFLP79NsUTlymlRrCIzEY5ZOJFUxFkIv9fnDojCQOU0C2owCODtkuDXvvwKvvr6a3jv/Se4SgWj/3F1B+KOe1IDqM+98Eqb0W4HALDfHxBshnme2SPmv6s8omSmmPbPSZ2Si3X28HNfn7+xdVGnHrCjOCSwypbKJUnH5kQDQZRNI3iMEFJ8M1PKgIb4VcJp0dhpbmBVtHbEUqsPJIqMnjy52RvUyJtbaZHagB0sD4O5eNkuDpC4pY21mucZT58+RSDQLPczCBwZJC94lDY7oiqhJYp+oAHGnskbUq8u93j/gw/w7NkjfPr0uWeH8MaITKPpzpcNa+CGO4zSWsP++ppnKDq9VslSGPSmOjR0A0EJ62ADVR0o7s3+gtjDG+V5f4+YPhuNNkTcuP7TtEWUZYeTal22UFJCUm8W1sVRrQ3UyFnSTMNqjlAkbyyicQy+8aBeEChLKNOE+/fu4/LyEmaG890ZTqcTuc5OV2iI7+eOTtVRv8KwTzJCVrOvp2+6AFjmGXuL86lY6tAkZoMnvAxmXvEQHI/HjtL0tYyMzw0kp6PacACBU4jTZ8CeiwcP7uN6v8extU6Nai0aQ1n5iIbEJOSRczIqE5E+mAp0UotP9aTRMWx2G+Qy4TTP6IKkIh0Jj8Y188rS2dkZluXEKlgb04hbM7ScMaWE1BqrESLYV8P7z59xbfMZqiYnyntCkkfZvOQNAxUsTi1TV63xxCqUVwCn2xhIc889AVpaxZNnz6E+nbJL1wW6AyCFLUhe2ZcYgCa4utpjWY6eIDmvcYVImVYsFTgsXNvcBFkVmoFpKrh75w4u91c4Ha443VIFQrkeWDJIUr/CcVcCShiJdLdpnlxTseKE9975Kf6P/+X/HpCEl5cvITosTzhBVs6C3zr4sKxw6I33F0/4I2EbxgLeDL8KFPxcqCoO+wOC8qQe5ImPsk9IsEpkrxSvSJnrXrvdFX+uzTTh/GyLy6trhspuUyUQNwdfQq9dI2bp6wSUjeL1r9xCKlu8/fZjHPYVJs1plmwcZ0/UCuzw76PC5ttldj+j6A3DwfmPAW4RYPP+NSy+P6UUbDYb3vmwpR4E2MwkvdXae8tChSZ7ZiyrBCDW+MYdT5lJMcJWtH6OaTE/0wMDdMECwJsblei0IahgNAqZw8L7vmhlb1sMK0zIyFl6pTOACtXF7X/B1772FZRS8N5776Ats7+f+8QeE/CEt8oAvmnMWnAShvuvqIAISJ/znNspGuKygzyT3X4aE6ZliYZG7tMyzz3mMq9UlTStEhT622Yhe+jrj1DOEvftA5nNpQDVVVdQkSSkTJ120dSnijIRzs5IEMm4/+A+TscZz1+8xJTIsbY0hsF1xSu3y7U2pEQgjWcwAIeIYUKhBr2CEPRHc2ADrpwE962tB/Do/YIcQgd0OcvGpGk97ydimp5wq/am0QgqoqkfEaOI9PsWZ35QX6Mnb9CaQ86yJ/0Ask/NRRc08IRag0UR66aIYYkhabzZbGDGickIVgEUTYCWCwoSqih+90/ewx+8+wRPTx6P+vHo1S8HHXKIi/jaiLcv8p56gh72wdSBywwT6toXNjH6UGlBEgVyLFisYet34fO8Pj8SD05ynDZbSEm42l+TQ+qlUjEL2MP5yMEN/oxUjvGCJB+iQZ1Z83IVeZcW3D9485MZO/etduPZvNyRc+6DKFYf0YM36YFTHLBh6NaLFEazup5tLhlFCpZlQbxFHLYR8I4yaJCS14gVAJiQ2qHasNSKn7x9QpmA40Exnxr6QAE3YuzY5mex2U76RaUBJL8+RvcyWfJD7R3rTAiHUUQE5IiG42h2St6ghe6g4juEdF1XeQBuOFjy9Ym6x/+2m6nzYAEakRg7HnKF1JoWIJHIdHl9gu0XNCmAVZjNUOUgIEtRthKIpe7welONkMKx257h1S++ClVeVpb5BcfjiRcfjrKKlz49cBFvfmzVesItHvQg9tDMediGVlnd8Z8E4JrW66ahUsiZd8Oi3nB1k6/Mz8vO+Rdfe9VVquj+JGfB9fUV3nv3XVeV8cPoZzCMVi9/i5+XaMDy57JIqtHQXG4rGgBhirzdoEwFp/nU7wD8HkW00+cJNHMu34rKI/wuDMabV1wU6s4bpjh5UxR0Qa9A+PNFVWFZTsh5Qpkyy8GmvVvfnErQVgGYSAKa0z9M0CIQ4buipSGP5l006AABAABJREFUJnIzMBYRIkuIKqLfQR2c2s68kdAEZiOiVsOsgj956xM25c+CYlQ7WhR4cbnHvCgydujUFTGeDWu9sdHS4A53W+T/f/COHTl2XupynPH89KnTXwL9DqE3AXv9ohmW7x/ShCFVuR78hEA2zTqyFAvMnh5nX0dTo1AKlHKM3o/UGqY8eZUwKjieXN54jUSXzAEmy2e7HebTAlsMS2ukWQppIIdlwenlJWODPMGcCgDhuc854bXXHuBv/S//p7h//xX8r/9X/xe8+eb7mOuRd7ZNvRcFvSfF6QHgHX/58jIwDgYGNr5/r27m5A2Bq2/i/P0QFwgQI3jErS5QDaW1iBHdZ0A6oALfm7U8X9hhysNGwy+r4CEHSAliP0M9gbtJa6BYwAhMohm17wVC0s6HDa0fqgcu4n0+/L45p04tanXBd77z2xAI5tOeVQ9tSHmLocJEvjsrX/ABeTy3zcUwckk/e+Y7+AIExauuAKtOP0zkYadG+lbztRQHgWLHCCh5bJFSX4H47m3x5CrB11O6MY75IEMHXWBofS3FK9PQyvjVfz3424DgcDxx4qcHwWpR6dQeC9CuRcfDKrhD+D3+d5w3a4aY76JtwW//89/CsiyYT0eIVsYMUViIgDvAPAOi6a8DrkLmQfZetZipsE4ww3aPZJp/F/4+0PCQBo19YoI2hn52AEOVVGWneZnHhoBhO21I67LWY7+4Q7QDduPsrxuc52UZlkfI4zcDTDK2Zxs8mIA7SfDk8oRPrhqWVpCFldsc7J1VohCxUuxnb5gOGqH7FbcyrOapxzHCquaUCnIq0Jlrr6m5zWT8G3sbPu4XvT53EH9x6wzTdovD8QBbQjGEI7XjAHXKxohFxu+fneN0OvWGz1qbawF7KUei1OaL5ugTkt1oxhJbNcQ5woYW5UWMy+0LCXfcqk4D8ixwPcktKCnAQC+SN+CEnJLF8yD1z+DFxw3+XPxzLQHF7RQAiqv9HnlKEN0QvfLx2QBgiZl2P+yRxCAcxsrRS7wvvGGOqEldlm50zA18SslVUVo/bNGv4wXV/tx9MEYgZlitaYtLzCTs7Owc00TqzGbadB7wmlPK3C76AlqnPpo2NGlAKoBRjzUhnLM3hsnQvjemrv37hzMUAPvra7z11luYF3b2t2XBsizkxAV6Y9pLwp2vGsaDXmCVyMRl97UwDzKTsLFTh+TY2hWWUpCnDZqdvLEuUp+Vw4nkKG6oRfmW+zm4rD4owkjvqYdrxFCknHMfjc1jIlABUuLvlVKw1Bk/M0inJwBgD0PKbHYyJe+3DhRrTauKV22V8xCSYb/f97MRew54UJU8eSYRn07fGpsvU0LO42zQGZhzX+ng55mj7tUlTQNp62sjAwlKqyQtqjesRmRO3xTy7AOpDGfEMjGrFVBByoKyYVCMzsWdwHfLSNJQkiJPW8xthmHBooCeJkwGTM5JxmaLi3tfwnZzhvbsKfJ8DbMZJuQvc5piSJF14K8b7wAHGLANhJYvD+QcdQLYJxBcUxi8SYt3ko3zRIumSD50KIyMV5TErd+B0N1vvhbTdoK4fRm2EP2eM+i6KbE6vs9w/jectlH2rraGJ0+eMgASp8z1pITJGIJ+k3K/tz3JAhG3L3zhFdy6fQdnZzuEQ0zRwGep23gDnDI2uM9BCwhbFeozyYGLPFGVa9lfR8i2Wjsvl4ePCTsiANsInUechj347Ej1G1zjsS1+v2gDekLtSXw8o5j0QUBrX9cDYvGERdw+g76zRH+bqTdUe9KuBOyiv017r8WQvuQ/uA8ww+XLS/TehFDswQjiJJqIQbptBNL94AI9aOta7mTY9D4o836qqC4YEqeSp8Q10Jma9Ks1naYJ83zqtjxM4Ng/8O55UNZbZvyJ/BADYT5T6o3tPbxeBcciGZtNxlwX2mSDV1GoRrY/7HkuM+1SLpkxToNXV0q/X0uNCmRDpDAhtR0Uqv63YSdaw8vnz+kjNGILVvnUFHdu3UZrHGjGqsFat79vrPeTodNVGOeoVzSHaAfzcOtxVaxasDUshsu5LzezriQXdoqo9eI0odx9A6e9ssK1zE5BypQNDzDCLxZMq98XnreplO73muva+6nAttCeyHHGvVu38OrtM1zuZ5djLchgj2LJE2Oq1hxkGkDPiCEjRonKmfdmdlsnkCKImQ0GwzRx0NdeD6SISfE1le5/1/ryv+j1uYN4FBq2kNaDAaLSD1SWIXEIjLKQeNBx//59vHjxAtdX10AECnHpIT7tkaUpyUTIQr5Pfbxx9oAKakDJPJirLLpnil42oVNLN4L2lFc6yj1YkZ49xdTJquwc1xa8OyJR6xedVx6odc+o9cZnuKuj+U4ZS2WjbTjO3LlcNPrmvNWSyJXUVh2pT+4oG8pUYLIax+zZcVzAcC594uIK2Qme2GbLSYFqMy+xBB9bvfRNl2Me8PQBBYnDdaKEnFLyxhJHEPxQx5APYPLmVjY3SQaqsnlKaQWQJ0NKDU2Kq6dw3bqE2crm3kRh+P2vr2dAeB6PGtrzQm64JxdryhGTi+DSiTuzQED4GeFoUxLcunUB5ERNXz4FoonGISpE2S4GoQQqEc+cvGS56qtcId4e9GKgFswtYs+kO051EjKbiEd5n0vViP7Lzfdmpz+NWik+IdCTV35GQ/PS4UB7rBstJt9hvELXPoKECJA8GZYGaQbRCU1Y7kbh+iJnlAgQJZAcPmPOMTiHZWQJD+lBi7UhQToqYtpnPORccHZ+7o1g7JmwGMyVmGzHfU4eSPX0yd8rGT1vloKEDQBOdk1o0KpoLTm9hw5t0aDcJVTJyLv7+Jv/0X+Gr3796/hHf/e/wUd//D2gVTSrqJHEIkFcWckS9yYmL/OZVjr/MfSoNxeOe07qnNNUSukO5f79+zAzPH32tDfNTWXCqc09kIlzMex0nCWX9gvbqCMxBCiVGVzkUPjSVdKZAvJzCiDRw6CCoIMIvcQOB3CiegOWm0OClOIICc25xhEsEFWjs29V8MH7j/G/+9/+n5FLxttvP0JbBGIbSFqcRlOYPOkyABthskDkdyC2ndLhVhtmyMhYnPvOfUo3xBoGaj5AofX0RpoJSl4KnBPrfx5IbdiIaaImOydRut3A8Cn0E9KDlpDlBLz6p6PSup4SSS1rwDTUQ6IKHkCH07BUUSRzcJQ/YwgFoKO/6H6HCVzxqiSH2I2mVJ7ZUFIxbw4PYCzs1JqCRKTXEwrAgx/+bNAWAsDKpTjNaiQWHaG2oWke349m1itzK3lQRaM9zeR5twiW/XxSjSa+czybIiXfZz9Td+7fw5e+9Dre/MmbOB0PKFmwLDOk5B64i9AHljzhK1/9Sp9OzxkhqVc4OXU9YhQbyBtc/rCNKknsk2pDcfqOmTesRNopCblMDpSwATj1tYnYgXdaAFhTTlHvfnD0HJif5+Bpxp3oQBWG/Yj7sfa9a18czaIQ6XcmKvCmisPxSBrn5AIX3r+0juvUBq0oALVSikvIMiaDAVOZcPfiFq6v9rBm+OjxNV682ONYqVhjKsiewHCPs/s7+FqXMB7hOG74eCZXpCOx58qgVtGMYiBZJ6o7yR5zmqGaYLbxAW119GbpZypiP+f1uYP469Oei9pcstDzhgRjObt4xn1js/jlWmv49NNPUZcYS589OEi4OL/gEIllwSSZxtudjEBcuSFqQQCSDx3wyx6IPce0D0Spb+gKcZK4lFgZ1pVD4z9H6Q2O6KWUyO1ttQdM/T0TqRFptZkWUpRh5JInAN6c2QPIBJdbjIvBy5pT7u8RMYysutaBaPjT/jsxehogehfBXf/eIl0eVNVwcX6GBw8f4uXLl3jxMsrfwaVbIxVONRGWt4jqs4yUBZhyxjQV6jGLwMnJIA3IIKlAEnA6CXl+SdCQoMEHVH7S7bMtXvniq/joyQtc72ckC4UDr0jkmzQmOg5x2soI9LPr6i+LT8XtzU6OatrY28iWJQx7I3cwu/45m794mc7Pz6EiuNofCH3AG5u60fXgGuK9DTfPXq2VhmXKvAcYsnoi4sNBbMhYuZODBQbTt6M7aJEEJGd1emJgpt3IWU9iE2AMQO7e2iKlhKdXJyytOhqmXXJxJEw3A5CUMhvCeoAvq+cMbib8viuKo0YiCdvUUKzikDKqGSU7U8aKgto/5+LiAiklvHjxvNOLOJUvngedeiMiDixUEnsBHE8HBwN438TPDxzZiemEBiJ76E3bBkFGlgSUjLLZYjPdxvF0DV1m8plNYNXYpC+8E1kAKWzsbWkLYMI3vv1t/Op/79fxvd/5XTz5yY8grWA/X6OhwZCQMYETM7TT1RiWrapfIHoV4+65j9lRHqDrQVtUGh1tU8P19bWfx9E8dqyn1XlMveeFTlRRSujhO+IWlUqhs+5ULgvELfSqh1Pu5W0/Q+HoDQNkiKoIk8ehYR10v4A7YpgfsOo7Sj4tlmOv/W4YtAmurxt+8IfvwVCxzBmmZ6B7U+TEgWWSRmIe9yzQwDovqwZgXyXxsr7b01odTJLUkxR/VHfafoPM+o0NdC6Cf1sFNUBIigZabx1F10DSm3WOcVRmujUwYHC7B2AUwNln/XBUvCCseLSmTk1gX5GqutCBjmdVdYoIoDLkIs0S5VsFGFKi3luR2GSvrZIKm5NXt/i+tS4edI8JrSuT4iZaegISQwbjbzvCGU24EeNigHYd4W0BTITfDxvFZDLuga4TIkH3p03VqVjx6dbPEe8r10+8P6EuFYfDweMYZwwYXKqQ+xS0XLWGZZ4JCqQQ5QzfZkibAgFcsIFJlwR4ZKmvhZnTqjyA3m4nTNsd9teNgxG9At0MeHl53e9ADJ5qq+RzVM7cX68C1GimDr/VfGDkOgHlmR/VdzW9UdXv7IVum0a1KAmrchDvO+gy4EyyWrXVdltv1k5evQPcpmjDfDpgnnMPqkMWudWG6+tr+sjNFpcqqAo8eHCBW0nw6fOo5iQP2BNCiTB7YtB6My9hCPNkq7/Uhm9zO1YEuLUteHjrNj598QyXhyNgCSoEdApd02qNbBzWX/D6Mwx7cqF/MY5W98727kxN+1TWtEYUPXM9no5M2oTlCUkTdmfn+A9/8zfx8Ycf4Pt/8AcuoedSQp6JB/htkRlFsNKD8FV3vcj479XfrzN9kzXyCbcYUdwezxya6cDNtRzI/UA62VwjI+uXkOEKhzucWpIENmszQ6YyBvoljMyua727EbkxCEAGxzIconNFEFPq4pDFZMZxYdAd9+XlZR9E0rSummKCFx7f0cvMmQF8KRmbqWDaFOzONjjb7igD6cgEGyGB2jLmhT0TnPIqnsjQ+YsHVEiGzTTh3v0vYfPg63j24iUev/M2dN7TACeuS4yN73KIMvYXApZUEbxRB+6gVPyRMIF2Y+/jfML47JbFA38GCBHyPX76lAFjYx9DIBaIzweNsrlDXp+5SChrW8aBMu5e7GtK0vcslEtSHvegNwPFx6o7ZUfExRvTVEeFoTXzZJFl81wUX7h/galkXB2OfocFloqrgQy6hYjrobtxTIjmrEhCI6mMPzM/kwJDoXpRqjgrir/wtS/i11/9Av7pD9/CW89PaJudG1vtZcNILvc+PbW/l/Vl5j21CHQC2R13XVVxWk50nJw7TyeQetjOkqmNpKG1hUGHJ7BIgt2t2/jyL/06Xv/ir+CjTz/Gh2/+CNfXM2w5QSSCZ5/cB082E7WMi1X8v//u38Vv/ZN/irf+4Hs47l8g6wkhdmGCPrV6KH4FRWjYGkX0wxCNqmrINKB9KqiZupJT0PiYsF5fs1rUvAqRfPBIXlVQou/BIsjy+xAlYvgei4MKsNVgJ4gDF2k1Edpu2KtAmhnIr6TpVgk4FUhYcgeMzdJqOM6L3xH1pNFDe++ZM08GSqbqSmsKbRl14S4viyEn9QCN3zmlYEx4yVpXYACkN+gZHFFc3f0sCcs8O4AUlBEGTDkaZf38rgdTkX9d/fsHIh62iQeixZ3TMXmyLssYVR/7UtjLFE2IrGYpEApDqwBgqLXcDOJpFzypHzjGjWAqesbMqXvqIELJE8TlhOPHLFrMcjhKyrwu1ZFcTyThYEjY69i/oMSGEk5U5UXi8+k3+oAhsz6xlBV60nyioZT3KPjUEexG/hiJzOhfCAWuQMBrU0hOvof8udQqmjWUPiHUegJKVQoPutz+vHz5Ai8vX6C1hYGZGpFx/3ftZ5py3U+ePKIMofvmtQRrbdWr5tJ/N2japKeOhAfChmSKGTS00wkeKHX7nHtDJjp407ySKQE+eY+HmnnFWNymw+N6R5rDVng8FGtqaqgYAwFTyihTQcx2mEpBteq9hiNBCJ/W0xjjvQ9xBw7NY2U/NOgj6Q9lwqYNWeEKNpT+pW8lZELWSMJxWdzmNaRcsDsr+PVvvI6yKfhXP3gHz68NOW0hyGCfA+2cZKpREUrwc4rG6pU3rpPaZhBp3ijNs1fE8NrZFn/9N76J7/zgh3jruECtwJCxgaFowyndpDSXrrX/81+fO4h/7ZUv4OnTp9QtRyAC3HSFdckvrILktQJMvNQXVUGk6dOnn+Ly6grb3QbJFixascAvtyN/HcnxCGYdcPspiNi+BwXrIL61VQnXRqlHeBIAGbqfrbXVJEUb7xEOMY2AYbc7w2azxfX1/obBjGB7UGn8yDmyYgbAN4zTKNno0hEW5cy4PpXSAEGiDisi6JQepGD1rEElMr+AQccIab4YJz3PM07zaXynCAqc89+lptwZZCGdKSXBZpqw225wdrbD2XaL7WbCbrfFNGXQtlXMc8Vxrl6uBTabiT0RFdC00PiqEQE24PnVNezjF/hP/9bfwovLK/y3/9X/AfZsRnNqTASp4QiaT1Oj0wWTJh+a4ipmvIDahpPQCDhbP5LqTVdjaFEkMYNWY0JZruYycBFIZ/G0wJwm4QPHqFe7SuwCOwiDB08UenATzdpUFBE/85HotCjBhjMy307zqXaOiOacQNiF352d/+goJ2DQeY97d+7jYpOwLAs22x2maYcX13uETnWSgXTTPqYe1KU0ggP2LThtaZUApDR5E5hBsuK1+xf4jV95HT9460O8+2LByQS6VGQxrBs6AfGmr7h3SrTCm2Rv9rH4eYcgoUR0F8wmf/7UTVLzANPEkV0/38n7OwIkkCz4yi9/E//j/9n/Av/mX/oL+If/9Lv4+58+wfXxU2idkTnrD4IJSQurMsnQxGBtQb3+FO9+73eQ04TT4RIJM6ot7gAzsiuDOBTfkbq4p1Rx8vML34vALnxPNtOEpZJylHsFxRtNO1LLIHgqzi/2IHIEk5E4aVePAgBtdNTVUTaeqcZgABzqE78PoDd2hj3tE1dVPehbI6Ke/OpQ9gq7HCiZQUhpgo2BW/3+jF4U6efTqSuNZfZmDQAlTtmkW7CZNtB2BLysHYMGAf9MadhuNxAYZu/3El9vs1WQ2zwgdZApvnd8h+zKMwFqUfouzvYaQR6/FxXkoP9FMje8HPp9I0c3Ybvb4cGDhzgdT3j29Cklky0qKdF4ORLVDiTA3FYpknpVNScACm2hZhbJWeoVzq6WARlBaMp+71yFI1mfrAmvMBWnIXAWBHyUva9XS/Q1KeyIA0cI7jGDsGz0O9UGWgzBeG4FhsITk+roQeAk7THddE1PGJNdrQfhkgTb3Q7n57ew3+9xOp74Pc1WgVXMY3BWgUqXhY3qA2VDfTHDjXoQzsZNHqxlnhGzKWBwEBR+buEUtkEZ7JW6kOsOO+lc9fB5TRV1OSJBsCm0OZQQdkpNpsLNOmaQjnpHcrbu8YsjzFgj7GqrzWeP+PO7Dwv7ELTdh6+8gotbt/DxRx/hsD+4T4kYTAZF0mgjGZDT9sREXK4jlX+yv2/rNkjjoqADZBJ/lOMWrexNprSoCKYMJGtY5hNKphR4EXH6aoa4cErJhXSaQnpNKA4RuKvQqphPJ7TMCdC1NWrxqyKDDce1Ga7212hacf/ebUie8NGzl1yvxiptT3LX/TW/4PW5g/ivfOk1zIcj5hOpF1HsjG5/Ikuc1sm/HYcgIY2mFOfUKwSH/RW++53fQasLppyo+67Vs/GBSMODiuCTebsRUhrod+iyiwe9QbW4gUbYoB0I/IL1SN4NthlL8L6YcciYnY7BTWUq+NpXvorzWxf48Y9/jOORahbjcFnPgnvQze0aKjwS6+QZWw/0FNGIU4S8tZQpeVkNzg/F4K3COlJLZ1KgoqM73IcjkX7gBz3K12YIRDaCtpBFlI5I8bOyo1LbzRa7sx12mw2204Tbt85x/94d3Lo4A4TjyS+vDri8uqb+dwyg8Q7tSLqC4megAXt5eYXv/s5vY3884XRiSTKSiLiZpEEwEUuZ5yCQ6wbAmhemE89ZEk6rTZ50alMv9yr/JyxTxn73KpKXllPJmKbM5igFlQDgiQTCAYRxY9ASl28te5pSYnnSE6pAItcBXKCZkVT1RkS4ceWPO09XWGGAL6QHHHAeqnnSFvz7HJWSaYvN2W2IPEFTxel4ZHO60cmaNgYfKSGVxCakuAvDBw70pJd4vTFMgCQVhowmBYeW8Xs//gQfvP8c7316DZOEDRrUWCJOiWjluhzLu+h7E0mxAcNWh8t05M2EtCwR0p8ceW8aShPcVY1LbgxCNBL6SHKkADIhT2e4dfc2Xnn9AXZnO9ZC0watFYgsULczGYkOHoBIg2nFlIB0fMYzJ4aW3B6aQNSQoCgBGLjpGQjdqrfHXLrVz7d6QE/6YkU2wFwT3mTYFocyOojQKRE5NJxvghOdimMRTFNuj+tGilxrlZz74J/6WeVAlQGchG0FHC2Le5sG+i4eJfARpNuuJMA8nwDJnpAzCWNzHu1X7xOQAaR4zQomjXS2sLPCgYQwytNFlTApoLJC1EEqRfZK4Wl2zW9YFwUwDPqaiUGr9bPaG2Pj3CrpopFIBbrOpbCbiKPImHrc98aDEgt+MnpfBCuOCbvNDl/58ldw2O+xv7rCfj8zgDb6Q/qAtFLxGOpPCDWkTlNyX6se/0RA6FSXmH5pfk5jiODiPTI5096q+gAl8eRQwjK4LeoJha8TDz5SmiCpoLZlUIPM6ZMNnNacM0LCMX5b/X8pZySQjphEcTztYepTj8GgcJoY5sTk8f73qgiCluSMstviW9/+Nfz3/8PfxD/6R/8YP/6jH2E5HT1R9fgBkYCx2l5K9orSoPxspgkClwEVgjzJqWM5Z58fASAPaknOBZvdBq02Cgh0zn1g737O/Kw4XwERnK4pWgEVxe8G4BVrK0J6okok/V79TYnztnDT1t/s7wNiMITIYCMElScqOBGIJhGOIW219/sAa2ERJUbgAIyBvV+86z7wUyjKwSZQvy8y7NU6uTElI0S8X6wPUUwsznakXzIY0SScquGNdx6hlAnHE5DShKkU5InD9TabHXKJ4ZYFuRRMpfCZdEGrFW2eIZLQ0swqA8Am4LpAjD2AH7y8wuN/+X1UbXjw4B6mrCi54ajo8s0CH1Rl5rOAfvHrcwfxjx49xuk0I6R/ovQfgV9KGQ9feRXLUvH8+VNAFBJO1w9VGMckhgyi97ocoa3huLB7V2XQQ6KzXTvXEh6sWB9eohgl8kBsxBG+YRidcgDpZaLBLbReugbAyWYe8PPQRoOk9s8XD6AvLy9xdXWF0+mE2io20xYpF5yOh3GwG3pGzkSgkbbhBzz6BAB0tIpoKJDQIGbYbTa4dX6O5y9eoi6NdWF+CaJdQZ8Jp+yHAWZOJ+EaFnfEP5PZw5MaG9qsjPVDVou5msAweTPrZkNd8bPzHR7ev40vffEh7t29BbOGq+sDdtMVrCkOe46wD3yJ/56ATC5zR8Ulox5f4I9+9x/ynBwPgO8ty2Jrh+gIK5yXZhXVFJAthMqvbJArO2x2r6AtM9BeIKVG+6Ncv+YDkRBgsDqClRQlhNVNMc+cOBvc6Wiua95oSVGN1aALRx6XZWj1S2jKYkwpFLB0LjlKv4FQ8vtp9aFkAjSLsiDXMYIPsYH6w2IfgeCLEinnWVwq8N6Ta3z47Kc4HBeocDhR1RlUYNH+DDkJHty/Bxjw9OnzPnSpK/YIEKoD4jxHSCTotQcNDcCj/YJnxxOqCWVDwabpUjg6XHuHKzoiZxYsYb5CC2Jd8Qh+cQT5gejB18AXBEFHCpQTQhCheYBvWnFxvsP9Bw/w9MUl3n/nTfx3f//v4fGHH+D73/8jXF1+CtMK8WQ4J+6lVldfQFQpBKlMgCpqjcpKgAiD+vZZnXOEdUoCs+xNt43/hLGUrJGrkc4Yt5b5Nhsmg5YCT3Thyixrbuuo/mDYKAvlDhq3NP4SIScbr3XzJhCxQfBWbzqdGGCE5AF8AA5AV+qJjiBLrPZNPp17ruZ8de7fmto19tATMlEgGXLeEBmuRGOjGZuAwIyU3annkbgEoHCc55tYCwiy+EcAkrpsYVSjAND+rgCiLv0LeE7FoCQEBjh9dTQI9j6i2E/3C5JYkYgV7eCOKvb7S/z07TfQmmJeDgQzfJ3g4IsknyTrPH4+4qrCFhVFP1MGIJnLQOYEVXRfgUiUDcjmHHJt2EzFg+3W+8IUPG+SBLtpi7YojkuFSeqUEvZTcZ1UDbvtDmYJtbKJHA5kRDDIBD/DrCGmjmv4bUeWHzy4h5wEH308Y9EKJPGpxW43lPY40GFTxSRBFeXQuakUfOGLX8Sv/fq38a9+//dv+MYsXongwvjCJZSyhSTBaT7wbiS3OwEMwYN4umt0lSGhUEi426gEmies6H118QwR2BKwJBXGz6cDPBHP5OhPUsOiFVMhNcMq75EuMwAKC8CAognIgGRFWtTvsoMBkeCvEnHtk2VX7AMP3oOuykCZH3B19RKnwx7H/an3mGi3ydbpd2E/qgMgHVjw/VdXyekyuU6jXZmrnpzyLHvIXgQilD3PCIZHYh+VCJoA1zOQTSDbHXZ5Qp422Pqg0d3ZBTa7M0zTxsFiIuetLdDWcDoecKpASQuQSedtkXzkjKSK0FALuuvjTy9XYJTbUPfxm80Wp2XB8ueNxH/w4aOVDNVoFhlOoCDnqS9uZIsAOYvJM0aEo/HFV11NhcQ4LGs+XWSiAIMTdW4+JBpDh5oAMBwT4v1kdE57K9XIBAGEgkVkmxJJggT/j0Z6rfDSWsPHH3/MQ6CN3xluSMVRBpBb3acDdn55889lYNGlt7K3u/n3DhpEM+3GsUwTYD68CHHIb5xlIoyO5KzLsmte4I0/s5Goj6oF0JtpPYDKKWEqRDZKKdhuN7h75zZe/cIr+Mrrr+L+nVtY6gmfPn2BVg0vXl5x9DqAkjKIfDdIMiSLsqGNPWtHtOsj0Rtmb9DOFUe/1GVTIGKYFwacxTKTpWiWTBWy2eH81b+Iv/TX/mM8ffIJfvwH/wDLi7exUYXYFktKMG9c0RqOoiCX5CXYQQOIhr1QNAlpt+xICjyB0qY9yexnaQVpdF7jSk0ijvagvET86QY71oabA0EEBfxZHxiLaJoKwxlJKq8KdaBzLrg6VFhyyk/OvLPKoTIw9KZya4rlNMeTr/7paGIEXxb8+BGAaxgm41lfbKVG5CXw4v0VbakrR6DxRfi+MKcmeVARQbhzMVUNFjQrP8PmwXvceXHEhij8CqkSQS4M+iQBt2/fwa/88ldx+vEbePniGb7/e7+Dd956Ay9ePsX+xVNYO2EqHDySN66CczhgfzgwkXKFj1Yb6VxI1FI39fNU4FVzKkTAEzgIqGDgHPSVY0oCbDcTTi2hnqpzLT3ZZrRFveFA7+PlyYY6D14gN8rcnpGPtcgJ6yQwAHRKykbCOqQT40wG0T/Ah0gW+32G0pFmQaTxa1usTWHO4w8ueVA8JAudOWWFHIVmsgsZ9C2e+qgicvAagjsbU6gRwAfpG4vPe2ADOs9zU+cAg0mHOTWsTNONBr6oAsZ/3xiKF4mSOUpqHrwjAmxfb7gfc0S43y+Jfp+wGYIAk2RVda7V8PTppxjDBsf7Zw9Mug3yQDyCqti3SL4iIEpE0FByQcrsc4ipyZI4nZX7zNkVIgnVB6lF0qxKqcrkU75LKZzG69V0EbiIMIHA2hqSZFyc34LInqCHGUpOkH5vMpNQf1YBK+U5RWCnaLbg6vqyxwzRTwYoxNXmoto3EGLf47BsykGKv/e7v4e3f/ounjx+7Mmy+2vndBv8PAv94Ve+8lVM2wlvvfUmjscDraKfo5h+vcyVFCanciZX0gIiqWIDaG1DvnVdMZumDZWt1CWAMQa4xX/3cNDMB9wV3KCiwWMSEY7rNKEPBlASMMOwrYY7Jri0hlPKVIta9ddxVl1FzqT0NYsz6b0e0Utl1u+pGWcJLY2qRIxv1hRKeM+OIBcHuHzccgCwNZTRIGO4FG7amjjDYkzSixQOjux+1gZ1y/wzYSgl0f4lQc4bbLZn2OzOMZ1d4NbFLVxc3MLF7buYtmcIZ12XBfNxj/l0xGInQi2+b9qa26aIc4VVrWSQRgUuMUEVTlgzq4BWaHJw2RNbLtGfMyd+nuuqROpcRy8XhRF59MknLCs52syA1wNhiYAzdSPVOVkY1IP4H+A/H13HYHk5p4K6VGbtGKVkotej3CbOc4+mq468C/pnBM/4Bo+eHn4csOCUrzLx4GCtNdVLmbDbneFwPDhKyUvLptfkXE2LeLhf0qpjpHkv2UbQ6gn5oVacXj4HwAFISrDC1z2qITR068uvFhhL7MXoDRivkRzFqycG6/fPCXmaMG02KFPGZjPh9q0LvPrFh/jy66/htVe/gNu3znDYX+N4WnB9WLCdJpTCIEWk4Wy3QV2OaBZN0vz4TicA6EBhEEt9H9bPK6s/SzmjVSCpkQouRMUbGhoSdrdfx6/+a38dH330AX76k+/i+PJt8tMUQCrMmp1TCeGFLqX0wTfjfMqNMxs0pfgClBlmEEGkwfqZinMdAX3z7nvtU0DhxsWnQ3ogzYSWQQa74xFZzA0jxoArkGjrwY5h9HFIPKk7jOTns5SEkjcQOJ9RG5UQjEbp8uoKAHmI8XlBiYiEO5JQ/wF/zp6DAMF79cA/bEWtzakS4/d7MI/PJD9rQ8yL19culiXWJTlNJqRH431ypv6yttrR9CHPmvD0+Uv86I/+GJdXl1hqQmuPcfXyKftVdIG1hfZEG1AF83GGLopkvjdu65a6ICcmKKZMnnqTtPPvt9stJQQdvTdID8Szr5+4zWlOZUjeNBYJXlQg8pQpda81bgj/POUuJwjx7y9gVepPe0XyF2uq1EoOGbvYw/W+/IxU78quAaQyKAym4hVTPpPk5NNyvRyv6jriHFUedCJZ2cuOoBpRv6g2juQDQDRLRiDkqh2SiTBHP9DiMpnmz8YK2Qjwus8RUvZqq8795R0NPnWtta/BjX6NbpPVz4yu1tUr2Gzkgfo4e1UDfEgi/DwgEtKVvwkbsvaRN6UtRx9Cl5g0krKCpiMCD5TGvQ0+uqREcKURxCEliRTNViMQ5e+knKDmFMEAesTP/dJwtVzx8xJ69Y5VxkxFOyou4MXzZwgdbSoqsYcqlwlm/L6LVJQiyAZs8qZLJFZfo5cvr/xOsPkzmSJBIda49yKw1dkEBM1pqxKStU3x8ulzvHj6nFWxRoWZ6OMQM6+8eO9QSWhtwXJ9wjIviAGVMEFKXqUUsCriNreFDfUW1Szod1/DHxoToQGSjiq7wLrOekgcB+1QTLErCbUq5rZ4cu5Tc7X5tOACFXCCKwRTU2RVpA1wP2/x1x5+GX/w6Yd4Zz4w4Yo7jeEnDWCl2z/brI7GZKKWA/qThHle3OeNBHxQf4b9K3lCMtL5ukmKe2nxndeN5OtkwKAq3e9Quhfwhjm/E6RipwRsSkGaJiZIXvkp0wab3Rlu332AW3fv487de7h3/wHu3XuAUiYcjicc9te4vnxJO2ruN+uC2pZOf2Wy17xKqlAlRa+15mC2q5Kp05yc0pi8WnU6HXmvxsCCn/v6/DrxWTiGVwNLiH+io2imC2RUXjFNEzQRtaecFQA0ltJsXHw6L3GnFd3IGH2baSDt3eGnEUww6EMPYsVlIXNJ0GUeQXt4fQ9yuubp6p8d1ekGZRhp8yyRKOyq+dWA27dv41e/9S28+ZM3cH11iWUWtIU0EEC7vOPNSX0DvREP3sIxmVKTX3MCEicF5sThWtEIEtmltZj8tqpIuMNdc/RjHdbyY7Ge01T6AYzvH3zJcKCpZExbNrFenJ/h/l2i8K9+8SEe3r+L7SYDuuBsu8VmQwlJd0m4desM3/72N/CTt97CB588xXJ1GEFhThB1lNBG5SM83+CfukRZq0gKiI+jJiqpUIkJrYZkhuefvI3/79/7v2F//QKn5x8jmaKFY0dDco4C+cLkIi6rhh+PDv2EoT/LDV3jvk5xtiKg5s8yKRiDV9Y8+TW3l+8R1CUnkpi6Zveg4ETS1TXDvTwdd2SpVPZYDy2zPm6eS1orjU3JxqY4SG/YaYfWez/US7opZT9PHhDBkT93OD3GppfuTiXOYXzvlGikiIqzUXitcdzXpffZgA7CfKBRtxm+5ok85i6RZoZpouSn2gAAGNQmT+A9mNDGQNKRo2UxPH9xSQACgNSTo1ek0ZgZavP9stqpVMGvTSn3gDR41M3XIjsNquQJm+0W81JxOi2uKjMSLHLeQYdLTT8sp5mjrKT4Z5M/nn1/tFVwynME4Mz8m6OcUdVSMyD9rPbwz6J+ExvffWJt9G4M9RD2jQSdrAfi8dHG4DomUY4kNvXvyQbWdQDuzhehk02KIYM4741YP7Z6oLxKruE2E6s7VitpEiEtWitVjQYnPTO+7bbGE+Y0gqe6LL2qKSad571OXm74j36WFVmA87MdVKl1rQCmTUarpIIkD3Zu7Adc1EDQbY7RKN74zLAZ6wDeIoLxZwhpy7WsXxIG2hoJmaD79K5KpZV2gVPbxn1JPHuUPN1g2vogJcCBJbeX/lmLLiileJXFaZ3e/4C4yco1zplJT3CbAerlpzLhev8SWdhPcr47w8N7D/D0yTPsTyfPQ5JX8fw7mGLKCbsN55OctCLlDRtHhYpUFiiVn60AQ1AdZKkNUxkSmKqs5lzcOoekhP2ePVsffvQhlroQtRdgu9lAnUonQglHKgsRrU7el9WwIEmh/VDtYE7clWAYsEmVCToZDj4jpJ8Dzv2AMcm4f+cuVA1PXrzEYs2rmbTZaI0qcnF+UvLpt7wPV3XGn7x8jOfzAdG7JiJebUK/s6T03fRp8XMAfJp3Q3JVGva2odP9ur/0sxeAZwecUqJCk7KBee1Diw9xiuFqfRik2wB4ksjqa8Nmu4GURMUkyUjIvSdpu9khTRPME/Pd+Tlu3X2Auw9exd37D/Hg4Sv4wquvcu6GKj598gTz6cTG1aUSkT8dcTzscTzsUZfFwbDqABrQau1ypQHsha0wT4SzFJgPNYV4T0ALff9f/PrcQXwuGbV65uAGwENwvwwsS3OT6WybNyZGACkiONudYbfdYL/fjy/kn2FuTFNwFqPc6J9XawWsoeSCaZoAsVWA1N9kBLN1jbi75XCEzADKXhmzwY56dDQjXjRMN8rV/or3TCXjeDzg448/wrIs+OIXv4j5dMAnHz3yMnRwED1IAbyMLyMYC5TRESQY1U/YwAiUaUMOrgdmHVHpVYKbzySrf+9rC9wI4CPID2Je6iXDdSNLyEeRLpUkIYvgbLvBw3t38MrDe7h35wK3bp3h/GwLbQvOdltsvFGMgSP3oTWOgNbabpQyGbyPPco9c+b6q6NrMENzaU4FkL1M3DKgQpWJZBuUvEMuQL36CT7+/geALijtwApAKlQo0QVFuVLqu2yqN4xSNPgG4h367yMX9HKhAaKh+T3WfR2srxOojipIUHYiEGDAnHw/1bxE6KhQLwU7YiYCmJCfGidA0irl8MwwpUhEyInkXrO5Wq1B1Jyqkf3gkHoQyTm8H8EQ3/fm98IKOTdPwEYSiHHPZcWppteC2VCKoG79zbMc9I4kwFJJa4rEBnDVGawDRgU0pB9DqUKJ3rvFCt5xlNTNDMhEGzfThgF2i36NWM0EhTtXcerLjX0egVynl4A0BPMz3hqRZgSqvbIFJe6bMgGdJOFst0VVxX5e/IoyqZY4q6pExBLYsYmhLGQGb/zObiMb6XsrSuDaDnC9ed9CPxqeKFmN3g6X9UMEwfFZQfOh8+l2JZJU86qbn5/eBCiCnCaU7PZ9WRBNgHFeI5hQsz4IRSJQXK25eN/PeK5Bqep7DOkBfNy/UAwJ5RsR+q34PjHwSIQc185e/1OC+PhzfgIb58/OdlA1Tsh0OqRZyE7ixvqFDv46WYcE4IP+XcNGxSv21H+BCY0/E+kJPMehba6hmrPym3FXiQsY4NsnWTBlStSyglf9M4sTfP1uaEXyahffuvVYwITr3mpD7wkKxRtPrmtd/BcJ+hnYp2DHGSLA3fMznO82uL66ZrVMFFYybHF74wGQ5NQrGvfv38PxeMTy4pKJvq9NTwoTYOT4OVUnufgCGIBb631kVQgsPnz4ELfv3MYbb/4Ey2npMzm6LfehbOJ72JF0dxwpZ6dlwZNe3qnNdoPzc061p4rboL8FwNPBSL93QYUCWKnLMFhtHbSj6hYBRBjBIV0aIK58Z4aa2Bu0sYx9MvzocEmL6Ve0+PC94G+HL1wnrvE6OzuDGad5V68Ct6j+eBWMtKiVzVhV+EIaOuxp1/z3PipdVcjX8Uv0a7Fa6PKjLp4wL4ZknE4+lYIiheB8yji/fQdzbShZsNntsD2/wPnFPdy59xB37r2C23cf4Pz8FsyAq+trXF5e4rC/xulwwHzcw5YF8+GA0/GAtiyoy4xa514Bp82v49k8Ged+UHGPAAt8jSJmcgrjz6T4f/rrcwfxZ7strq72nRPMrFJ6qQwYF5JlDZ+s5QgepyxaD5CJng0kJ/Rye0AqIxCN0nF8TsRRwT9vSwVpOl0J3BsypCP20WEfGSBPi39Qd5BpXBDzayeBuGsPFACO+QacigMe3HfffdcPq1BBzlaBHNwoSupDc+LVnWHQEkBO5Xhe8c7lgQSF9Q2UBbiJBKFn22snLZ/5zLGuS13cqA9EL4KvUgqbkRLpQdNUcOviDA8e3MO9O7ew2074/7P2Z7+2ZdmZH/Ybc6619z7n3CbazMhMZrJYSVaZZEkkS7JVVSrDkiXZEmDYgAU/uCDo2YbtJxn+BwzYTwYMA3rwo2XIsA3LKEuWbZVhqIpiFVkldskmmSQzmZkRmdHe7jS7W2vNOfwwxphz7RtsooA6ici4ce89+6w1m9F84xvf2O1Grm92HB9Gxtyl/exnJu7vb3n27DMeHvbMc1eXiWBezTKsEjqJDbKEJvos3Euoqne9C3UETZVBBS2JvNmQR2XZ79HzHUMqlLyhyuCB+IQUhZos+NeCyNjWuxmIIV+oT7TgyU/gevBKBPzxDrG20UwVnxHqEaYG4GfOk4OgCRBIfEiJ9WVoBjECQPUSvy7BI1yVHP3vZAk0JBIFOzPFs/3RkbJ5ssqRBalYwONyb/q58xpoYGrrpdV6MZoqFJcUr9ALbwY7gixoiU2cvTjP1lfuDjqJl1uNOy9YotUNujDkZNNonW5htqAYhzaPaJsGXKHO3jhqXNeiiaWKIdyoK3EE0GAOwuIWC2haEt/2tza7FDrgYePi36VWsF5Da9atkdB4dUUgayIDj25uOM8z53npVBpf/5wSZBs8MjvqE2sWdLBSoiLiDrd6b0ejZ/VDFfu1LAvLvLiyT2JeiiO3Flw35NuMY6MW/qnBbJyDYXDKTwV19YowiO7Uh8GlN/H+DNe0V0+OhR7QpCQ+DKb/vDRko4GVzg2/urpimidLDi3jXSVcyrLY8+TBglRcsCHuWGu69eQ75YwudqaCfrO+DxcVNrWkf7/fewBpvWHn85nWSxDThOOuxFkmqtABSBk1ICWThc0eCL7eB9Z+dv9dIGiffr76kvk71NhKvyu1BVzhMyedidQkRCRCTtBc9jrIJBwdMb8j/GBVm3UQFYJ+x93niFW0rMqzWEWtKNe7gbdunvC1r32F737/+3zy4iU1D3ZGkiDVNNdJmYqp2ZS6cHt/10G+alVYxABJEbEKlpjtqVUZU3J6oMUVAeQ0KUOFVy9ftUFhQdUNn5xdu3/cjVxfXfOw35vUYDL/ngSGYSSJMM+LVaQcxAgf2xO69NpAKu3rizfRX9hxGzj36u6WotaXpLgyXe6JvQpGIxqc4lYzUoSSB+/fgY1CTjT1NZuSG4l/v+vhhcxfVB7u75GUmJeFAN0qkF3ueP1lblzBkzqJvo3wrtITUxuy1hOedSAfioXr8+7QgSdkiSTZqdjCmKVVmY/HIyoDm+sbdrsbttsrhs2O7e6KcWOUx+fPnrOUieNxz92rV+zvXvFw9xJdTCK5zGem05FpOvn8pEr068S9t/uydAfuCGxK2al2VhEMGew1UPZFvr5wEH8+H23YCEqW3MrQLYNHG6etG3NtSLo1mShlKsxl7nQZTwjWgdJaYxR4jcuGGw9tI8tZ8eEj2KgoWcSkeyIbXm2+PV0EXXJpVNpzrdEq+3MLPDslpXgjgxkK0Fp49fIWof8ckdQzsZVxbj+PfjHsWK/eo7iiSupBmUhu65y8C95iH2lrKCsjAD2w6yhhPIc3ZxVTawmj2/dAWn/DMFg2u9tsePr4EW8+fczN1Y7d1YbdzdaMsHebN3kxEoVM0cw0KUVzS4g8TiUhLWnCO/eD9N8VaboDblUgl+ErUhFNjDWjmpnmiaoLWgRhw5KMD1m0IjqTXNmnyuCBrwWfWXrznZ0PO0eRUDZDqNoGTqwDdIP0pTsA36MI3Ne9F5HIDjkCbm0LEuc97oKuzmrnlsZgJUHFuZIRAGtUMezsGZXEEdTGZ8GHSfkQoGRKSfaeQU3o91/VKm0X2WfcovXdgnYXe5AlTaIwAhcL7g3xbwav2Y6ONgnCOA7cXN/wsH9gmr3ZrCxGF0ndudRamM6BoDvSTvJGUwEyKhuTGEzAIogWslbmUpm1et9IsuZc7XGu1lWA5IFX1/aORsvQVs+tqTx43bZ0dqIQS2Apyji4rvPizZdhRwVu7+4xvigudJJN7t3v6XazYalqE2Uj2Vsn6hhyGmsBzrX25zZKlN2F6KHSiiPRufE2S1lISXl0dWW89dPclDHiqzr6F4OjLHgCyYLEdFiN0xONlanZGlQdIBg5nSZrkBShrhKOsLntZ65AiDijrwdBcYZyzozj1pTE5sl7WGpDhVMo8BQDnLabkWUpzMt8UQIPtD9+5tqeihu1gB+KVmYPRuda29qOYwAvsrLdihb1xs8AxCIYFtTPVtiV9eyTdj/dT30umYpKnAdeKRninER9BHwAZRj3321GUOYkVJ9aQF4ZksmfnubJh8X1BGGzGa1J06dkUuVzz7TuFRBHfFRNQW2z3XI6Hpu6ECrsDyfu7vaUKhS1qhxJGFNmSKY6stluOZwO3qQsPOyP9k7a7anSKWkx3HAcBubJKRCeII/bwRLaYpx6XCno/u6B/eHA4mcink8RAy8R5lKRvFCwKrK4T1DM/y7OMgh/kpIwTSem6USAV8ajjnNXvErjATXhx81WRwyjWjknOz/aehc8mQ5FJE8uRa2fh2r7WUtBVHyWNJjKi9FmWs8TDQ6IQKQl5wbMVKR6vdPPQ0x/1gJVXY5DrBIR2va1WjPzMBilVwOR958ZlTEXjWwxVKsCt7tvj2W9AhYciybUEywoJDkzDluKjmYHxmTNqC4/WsvCw/09S6kMKYHTbE+nA/d3rzg83HHaP6DLTJknDocHTqcjyzIR/nt2CneNROdzAbn9fgDXeTPy6NFjNuOGh9u7Jmta/1kj8Y92G4Zxy93tvU/uoxlL8HKxHVszTMkaCSzI8YzJ/mabohzOe20EBVaNhdKcUg84faOxUkUMjIhS8ZrDvk4oxB13De41PbANQEOaIdK28L3crL4xgGpDRJZlsU5+41S0d7Gy2sAwrJHyZWVIu+5x48tfgFyJwZUUREw1oISqTZRh/Znskvpl1gj1PYv2ulhM2gwnG02uUJ3OcRnc48+Yc2rB/DAOHlBd8ebTp7zx5AmPb655/OiazdWW5XRAdWEcsqv1CJIGlIFSBwoDpU6O8IK3YF+UOjUc4ZDM+NN1Z1Vd8jIZRcLQQiWxoS7qyEjoFVvwUIpQVEhayYFPyGBjQar9nVClaI5Go5pT+/nzVQ37Zahp6C9LK/XFHoSSiIgwjiMi0qZkAo0DaE29Hnj4VEDjz9GQoKioJOnyVpEE2Xp1bu06CY4zsZS5N5/JCjXHfj0vpmubPDl0vS8PVFfJKBdxm/9OPzMJr66ID01zhK5p9FejDgVyE8jrujwaQUrjWXoUXetCXeaG5mvjUHZ5zlKtTJxz4smTx0zzwvE0kYfRA+6Bt7/ydf7Ff+lv8v4Pv893fve3qOeDJ2WZGJ6VUjYaCaUnM35exQjp/fXVVbgisQwe/usItXjSmbI1MpbiFa0b7u7uI5u1IMAbvRed7d0lebLmVLNqkqPnZSYUIawRsUVZ7c52SpifW3eC7Sz796f4GSgpebWihlNMDKny9tMnXN3c8P33P+R4mlERC9I1gskViBCgSiSN2s+J/Z3s4S7eZDwjkthsLOFY1JxwovO+bfgNbfhZJNgIrqbiqjR+B0Li1c6P9kqAP2MeMrvdlvPpbEFZsiBYVBmHEa3K7O/WlHA8aX99EEuc2aZUA5BhKiZPK5KR3IUe4gBFUGyzQy4rqRABkpmhcRzbz+20iksfJyJtaNBltdXORvCvN9stSSvz7Em8CEtRp8koc6nmc0oxdTkHGxZPrm6urqAqx+OJ5IEjnkQMg/VrTcvcfrbZARzgcLAqS/fxEqCPNFDP8DlhLgsvDwuHH//YJ4BnB4ksCC1qyi1Fu4wkafT+Om2VnNYbxqrZXI0mpSnbQD+t3Dx+zFtvP+bTTz5lno3eU7Vry6eg8Hmi1YY1eYwyzYvRSVCntIXsqDbU3BLLPlALerW/Vgue1/YwAr/NuGGzGTmdj55cC1YhVBQbiiXue+NMqg88jHkwWS4bKYuY37Qp8w7mmTYtoZwXfkkEUqahzRLiv2EmtfPaW/zq1UtJEaNUsoMEVXtgvv6yfpHLhu0I3sHpS6n7M5qJNhDQqhcOBBUo04LkmTffecrbb73Ns+dHFh04z5Uyn5kFThTzSVU57u9JCPN0Zqkz8zJxOj2wv7ujzmfKNBknfpqcJlwo6jOUNGIBqyipdywnXyiJU+hg0G53xc/97M9zc33D733rd3jx/Bnu3PkiX184iFdgnh2ViEgydR1y9YxOXPNunXyIH6A1ylb9BdaKLPb77hubooGjNuGUHD0KpYFowouAyHEbf+bLDmZzLD7gxQN19QC4oSzBl2uOKQymB8LOP56myRylIzhBexmiNCuR+YbTwhAvF8+vdMpOFgFvWnHqmZWy8N/HAr3qz6uOrrWAx59z3fUdk+rEg80eiXRnG+9mHEkrZYbxzKk/e3IazeBaujfXVzx5/IhHj664erRl++gKGbwcjA8uENoe95+jjZPaLrvgCgA20KOiLPgAFhHXlvaG0pzYjBumZWZy/eM8jlyNT1nmE8v80GTRmCpJ+4RV8f22Ka7ZFB9SXDRDpSLwEv+/ZpQkgh9txkZrZbPbsttt2YxbXr58yTTNDQ27uDvuSGMyZiSXFt+YhCVkcwZJmjxdEldXKs7t9meykrOjEBpx27rK1P+Jc51WZzStAhFx3nzOmc1mx/k0mbaPJ8H9XRxBCe6wRaX+5z35ratG19Bzj7v4uqoGsf/y+pTl6o5RWby737iGFmhdGG6DsuwRauyxDQ4y2cyWoSM58+Y77/Kv/bf+2/zKL/99fv93fssrXN3IilfTUvYqTPRB2CQxVzOxZwhK3XSe7OcLSOnI0DqIiqBWwt5U0/A+HA8+8TKBaxCTKmWhTS1MXk4vtVKqWa9alblOTapOVvsagaaVd8OWff5Mfu5Le+9AGkY7W6Ugvnd3Dw98rt1KY3mjmtT/3ByxJYw5Z2ICdatQhE1wSZ5aismaBsXIHrTtdahtvR60Bl0ivmUN0qxR9NNycD6sIXUpJXa7nTW8TlOjM1at7Pf7y5/jdjj8T4BGa/Up+3UPGCXBuBmpS2Wee5WmV45CJCExDmPrV6lOmLamfVurN954ynvvvcdHH33E3d1dW35Z3QVfLqvkRHK8svV9mrfLx6r55dp8MyQx+lQLHpNa8opT7NR40kspVAcl6ioBWkrheDx4wBdJStyBXrmMSsmFvZRoipxJIlzttgzjwOl04lQq54NNIRVNjMkHgjXaU2nCB5E041Q9xRI7UZcyDdvj7nCeJguRPYA+nc+8emXTeyUoNu6vopHyYhaLmhSqtuzYUPswVz2RjzVwX1e1NaWjnSqm4ackqrw2tRpdGIYNeUjIBLvdzpD9OaabxrTykHH1s+AATgcjIRB6xMKSqsVESSIAFXEqpVdWPT6BmFciTVIZB2vCV4dvN0MQFWvpC66uHOP2NoJaa3jvPqc1u4bNZIXyx7vwGmi1ksWW6Cer1Rp8M+w2G958+pS7uwkpcDpNdjZqYjkVHsrCYb9HxKi0hqqbotlSJvb3JmW63YyMecvpfCL6fEotUfTCt9t/HepUnqhGKKEma43CUhZTwWqslC8WwMM/RRB/93BAneaQyQzjlqmeKSwkGQien+/ihfGISxUZodip8ZDSD4B0xxKobBjwaHAqdQHt/EGvUbegQTxQMpze/ux16UgJyTv8AEZHffBu43uTBZARtETpNy5oTJfbbjeknK1Rl940p0QZ1AI+qeJGwBpDK15OTMazjVe2eMSDL8/kTU+4XiZmzeimZki604HQIxdCtzXROJ++NhcXEEdGamkXxZQMLMmy0cOJ3W7Lo0c33NxccbXbsHt0xebRVTNOOY0gVlK0gUcTWibAh1pptUa+lNmibJJyLCB55Obmmu1uw8cvX3AqxSdWZsbNSJRzbx495tXtHZSC5IGrm6f81Z/5a+zvbvnBD/6Q6bQnSoFFLRGKYRKQkGRTJvNogXCpjjKhbVJaU2cJPvwaLcqegHkGUotSB3PYYaSSBGXIzpo1t5gMqTpf25oRTYrK9G0N3clqE00HVeZqVLDsP1s9sQzwxrZUoDr/j85NNQRd3bGBtmSZjhKJVciya+ZO80SMuLZ8UxvK2pIu6MlOQ4nCSHUpsOC1xpoEZz8QQcsJLpssw1bY1a9+F0urBphUm6yCSGsUe/zGE07HE8v5DGLn7nA4EwOGxPerzjMffv+P+Q/+9/8+L59/xlDPVBbXbxfwCbgJpeoECCWocKo+zZBmmMtSzH6UHowFrSBSd2mZak+yS6hUVGU6mVReSsklIY2/XMQm6O62O9c1j+qMN3q3ZeyroW6vkE7xsWvuiaz3WIgbCY3P8c9ImOdRhN3VFSlnTvf3Fsepcrs/cHs8U6L/ou1zT5SqgyTWk6+rvXUkrtSWuHd7ZQm6qEtESmjs2/tUjXMde68NjzBk1N43ph4WCsOQmxrJukE9bKjxw4W7u73LnbYeO+MUF6+aBa82WV/AqmzbjXZL2ITtZsu7b7/Ls+fPOEx7ZLHesexVtjgPsS5W3Rwpc/H+pYQ4ZSSamVMS3njjCW+//SaffPIRvqMrgMoDGgnvRAccxACK6MMyBLnfNcX6QMwPGPnxydWON5885rMXL9A0MO523N3vmav1DVxdXzEOA3e3Z9I4en9L9ef1JNDfMZrWwyb0c6rNdnSv76iuB5ySpHG/02IUHnHkPadEFatsWGVGPTiManmIFPjPV6NsqFilwny4+JlVhmzzVxZVlmnmwSsQIi4DnSxmET9AyQNlnJaVkyUA4uAH1YCfqEQubR6GU/ZSUEi9epEy42D2cJaCqqPUImjQUFAL9vZmp3e7G6sihVJMHIV4t0aDEfcXQZPsg5nCFpQqPtAwenU8bHZwptlRVZbJ7EqSGDBn/iKU8yTsWfR6qfW9iBvQxo/Xbr0s1ioX59NeOfyvVc5C7KSh9xEzltrimEiuzP/FdFmryH/w4TM+fXbPMiuSBxePWNDqVc10tADepVNrmUxmGGFelKUK148e8df/pf8qu83Ar/7Kr/Dis0/bHhi90/p6jLImPieDDnh4SmJfhel85A//8NskhON+j2Kys6K9ef3P+/rCQXzRBJIjAWJeFmZRGJShik1ddNSzb5xLAElHZZJYNpRT4nieWJZOf4lSE96Il5PJTBXX2YwFsKBVTXoOIeRFhG67IFIh21aN5hl3wJHx2u/Xhtgqq4PhoV/2IUKtUiCWkeec2e527HZbjseDZ9ODByumBy3A8XDw1EwYBB7tBjQl7vcLi4bUZWSxvt/OjUu+BqaLqy15CDSoUDyAdiUTRzbykFuVwMo5YUCiROWNwGJ85bosVsJLpn6SJDEOlqCE7FoeBnbbLVfXN1xfX3N1dcXVbmsNgKpIGmytijLP9nllXgid1FoLVBgUHg/wU4+vee9m5IPbW358NLrLoOp8PYW6UABZaMjww37vHPNsdKW84enTJ2wG4f0fJuc0KrW6MU3ZAm7UA0BzDtvdjlJmlukMYhrWjx8/5ng+sT8c2rkP1Nm+L/WKSK2czmemaSKfT+508KQnE8m0SN/b4LfnbB3/tYghLjYuD2HmajnzL371bd7aXfGPfvwZz1WteTXUezxwjuEaOQIML2921Yowrj3YsOrPSnlI4PGTx9zcXPP82QtO54nQgWcVELbPEmFIwwpR7yXg/pb4avkdTdEs7sHjawlAnMe12kZLDFKyYFes0TG50kvwSfFEZLu9Yp4XplMfFCZYkrDZDMyOklQK+/uXfOf3fpOEkuoZLQtCMgoJUFLIKtpodPGpf9mT+kiW27PXrv4QtsUSFJ+OvL7UMUY8JDvx4M+rm+LojDnTjEgmDwOn6YzWwjAOrckOD+CrS/LmNDS7sbva8ejRI+7u7qxKoIJN0w0jSUuMrNxe7U6hpGx3f5pcB9kNXg1FLLVwa11hCFcsbfeVYRgtnEuRCLs0rqPXEaAPAlkqls5aKb+mTE1iiiPFA9tVwhd7H3SfnCwAzZaHOVZQPNDwdmOFLJDBJY7t+xctjuUokDyZsiQ7qlpVrSlSqyXZ4YK13WlPcLVaoul0BhTmeXGJynUjNq251yosxSpuFU+opf/sasNunj37jFe3L3i4P5j/cjuvEcjYA6CtkudB58XOOBXJaa5VcG63OARn/UybcWC7GaCaOst23JDkaFzlZFWuZSlGH0mpgxZo81vq/rN6L0n42wBG1tUSWFGQPMQRsWr3NJ1RhUyyCatSkazYQC+nbNWYSxNxXeNrEspaZnoclGt0uK5OlIeMLkpOyltvv8OTN57ywQc/5DwdPfm1zxRJTWY6TsF2a4nYdJ4t8Fc1ee2gC+dMqP2EVG4tM1U9QSSxHQeut6M33SaO08z9fu/r5Dx4BdXktGDl/v6uCSG0Y+AxwHomTKN5rVTM1tVBLd6vUrHPUqdAJUJQr9PJ4kXC3rs9KUGxjgA8x+rEvjqlr6l9mf+ISnAAEJfywm6j6JWi+LT4WvuOmMxtiaP7kWT+qaigs1AKnM5e0UmLszkmpjljktUGdhb38aIzpZyATK0jpB2PHz/l7/ydv8Pjp1fcvnzOr/3Dl8yuIGaARr+bAXSswRZ7J6MYqUCpM4f72/Zyve8m80W+vnAQLzJQKgyefQWPV2tHYuzBLdOzhzCjuKzR3SS89fbbPHr0iB/96Mc87A/tUhs6YVNLRTp6YRz8SkPhIxMrGuGVZVs+SU3UGj5bSdsPk6zeJ+XMoksrz4MjNqmXpaleXRB61/rqa1kW9vu9ifMHnB5cCHewOawLTgGSypfeesLu5ob3f/Qh98eJuUbYs3q+tNbGd3R0rQSi6k4/1mpoa6h+u2qtHoRLy14DGWhItSO1CL62ycXRsmWpjuoNObPdbthsN2y2O7bbK+vmHjeOblVHCS1wX6bCPFfmWVkWqEUoVuvjJg389NXAf+ff+Bf42V/6S/zqP/4W//Evf5sPXtzz4uGesxZTCPEArwUuiJWlVa0JTOFwf8fvfes3US2cT6cWQCZxSSsNSbVwIsa9PR33/on2zEutHA7Oj0aaVF5bbwwpsIA/WWLUEjDfc4U8DtaIWCzYpPaBPhFEWXUmAgafqjokqixoWni8E9642RldzYOLC2MFjMPAlTcaLsvU1soS1Py5s6oeYEYJO5oEd9sdNzePePnils1o0zKnaVo5VTe3nkBsNhtEhNPp1NDESAhipHbIq4VBDxWbQOesEiHN4TQDrZ/X0nUEoNNo/Pf9V5Rl5rNPP6Esi6Fzfv6TI55pGGCuHqhVVAt1qYxeOUkiyKLGDxZhxqcD1syAkGuiVGCs1OS0Fy+bigbK49JpaEdPwRUx7N2yozFVg/KnLelqNChJVF1aNFJL5e7+wc2T6ZxbVdPnCVjWYPvu8xwsybMzZn48KBT+sfXCnfj3JIraFNMihgDJ3M92UUWzARCpWsm+nYn4JAlKjwEcX/7yl5jnmbt7SyRiYFhw7yuKSOGJCD/z1pd4dTjwg7uXTINQqkk5Dmq2S93+W1LXAcbsgb1gFdFhGDgej25AzVdE4IbCKML1uOHJ4yfc3t1xmM5+trDhOvGuYkFjAGgWPIGNDwIit40AS2jVzv3pyPHjjyxgSiuKwWs89TV1bJpCPYdWtbu+vkYkczwdAWV/OBLcefGG7iS4b4z/YYjmKugJPyz4PAX8HooFhJbcVVrHmiRuH07c3h2oNbHME7eHVw5MbSjVnlfVZUdrKJd0GkS83zCMxhVeyY7+aTx+oxWMzVbY+e1JvinACdMyMyZhHDym8Gpz8PWrlgvgwP4XfUZ4o7Yj/4l2b6guPuADBq9vrnnrrbf48Y8/aKBYPO+658HIAEZjmSabHfH06VMDdgZL1O8e7lkWk8lMeeUzJIJ627MyLZxrsarzmE2YAQMeYnSSMR4s+M7Zm6qdlxKJraz2frvZIEhT02k+RKD1fUXgT6vRNTtFUY853G+t7HT7u+KJ2OrPmu/wPxPiXNf28y/ofL7GiXwRA70euJeVT44/j2SpxXrJa0ErwKspx4mzESgMmw03jx5xd3dvwGwp5MEp3UB1Pjt1RsTEEqonCPYe8NFHH/Lq1UvXtF8u+tvWdrdVm7S/l/o5iKpEBPzNb68S3b/o6wsH8cZt9O+QQEESWgczsOIoemyKl5/aNLLGA1RevHzF3d0Dp/PUnEsLCBIMg6G5tRTmYgdZW7AexskOg3hGHEFpHEXpxCOAns2JBSp44JpyZsiZspSL4KFnUPFKHR2J542/P899PH3o6GqtnI5zD7zEgohaiyHzToOx7FH8gK2y15ViT3XaTfwaX+m4B8HtBDh6V38c6o2PDZ+muaUxa7oSWKd7yDHhCL2KlRYTtkY5Z9KQGDcj2+2WzW7HOG78AldEF2o5M8+npnU7T4Wl+HChYkiNSGWTEm/lzE//1a/zs//qL7IvM//w17/PBy/PzGolXptwmx217JfUNwio6DIzlcKz89EbqReQvi95cC6h83yN6RFrSmv6EQ++TucTbbCLNzM1449l5g2ppnPQQ6oxpFKtMdsoNiLJaQXqqjh4uOfnnsWDdXO4U9rxjz96yaivuF2kOdcWL6mVNnMa2Awj0zybsgmdrxnndW10X+cR2/mFV69uub+/Z1kWxmHDZtzY0ArtzaXDODDPVk1ZlqUZTnDpTz/f4jlvR2Y98BahyftpD/4imai1fm4gVkNdw0GF4XPUuvXH+F1LjmhbLGz8zfMyU0+B5mSo5hYNWHA6Q7b+iKqz688XBhJJR2s2TH4jNTFk4b0vv839/QP39w/tvUpwTpMDEHQH0io0gzVaRXNlOIUeEKgHGImUTKUlnIO0ikjgV4Hw+BAdAln3M3SeedD95VkICoGb0AtEq/lj35+60FlPCsnOHHIpuRqUs3VAqk43yDnz9a//BH/yJ3/CZ6dP2w8qWlkWK3UPKI+GgX/hJ36KD1+84OPbWxYRxiq4vLInf/bWgQr2q6DtDL3xxht84xvf4Hvf+x7PX74ghqNVtXpqAITLstjAFo2GzqgYmcBBrV5NU69yaCx9BlctsnBeG/ARSRu+T/NyZhwHxjQyz26//e5GI2Mk9jhF1c4Mza7M8wxiAXAexBvCxYf+DX5e7LR1AQclVMxqSBolb6zUdWUseltCutdpV2K0igk7q3DZXBiJW5s662e89wZ0FLLJmPo5WYNP6TVflrMhoItLE1ZVb9pMLrtIlFQYhsTTx9cM44YXL285zYUqhpwax5yGvAedo3jFLElqw+pE/FzkTA2RBE9+P/74Y16+esX5fHZQJDHkgXmeuaAj4XFR8UQRZbPbUqnc39+5rLbtXas+VbP1AY5FhLGg1ALH48LyUK3yFQmbWrVdJDs3vvpwRtwvmQEOOpiJr3mfxSrpCIqSn7IGvsZ+tBjDGRGqPQaKf1pMJZ26qU5NvvAzToFJWRjcLjYFupZohDULe7au8K3AVE/UQxFuHcy3amCAGX4ve4hjzysSfsS59Smx3W5B7kGtkXhx2qIk6w8jJWZTwMCahxckTbx88Qn/6//V/5JpOvHB93/AeTp2OXVnRFTfE3U7FNUGae8f9B9pPi18RvI7Zo1Yf/HXFw7ikwiS3NmKHUQlM+SN6XAvi9uwnqERTRrxby/FHI9n4OxnIRq++qYY9cIXP7JEB7rNMNsxTBJ6wcYZr0lD5MEzyeCEYiU0DwYQm5pmU97ShWPqB1Eu3n/9521NGmoY3uUSWVy/F9gFXory6YtbxvuTKRcEz9MNlQUGK037+Bz//PUzRtmx1srpdLowki2AECuPZ0kNQQuFj2g8vNrtGHLicJpBI+9Xq2y0TFac2jOw2W4Yh7FffixQrvOZ6Xzi7uGOh4cHjuczy7I4tcYGuVQKey08Oyu//5t/wMPpJb/9W3/IZy9vrbxYfBBPyi3ZqK3S0wOjYfBpd46yabFFrLU07l3wcMP5h+PpgbxN4zT+YLJIFG8idZTHcsEoz3rD5QqBa42e6RLJ8LDjtQwcT4ZssE2lIFIsIKhWAqxkXizZElMBkdobhGPf1SbBnc/n1TvhlLTXm7kvz3Gcl/ia54VSzGhMZWKeZtflDUdoA2pKrdTZ1B9CIaOVaaUHhVUr2R3U4s7AqkT9PvsBu7hPa6NtcoAj8zyzlLZ57ijMmI/DwHR2mbWgBHhwEvrJKtYYayoWVp3LCqmYeawYwqwZqmuJbyRxlS2ZnYugGyVTkCI8vRp5580rpvORe3/j66trJGcOh6NJ28ngFQGjc4ze6L7dblmWhePh0Kh78U9O2dfYlv3dL3+Zn/25n+f3f+93ef7Zp01Xe53gEOuJBwMpE71FVU3JZRxHHh4eWqDfm64CYfMEVG3fBlHGqiCxp4mgRQXKFKYtnGJ3ol4BcZvw6tVLHj++QSk9GGi+wYLXWSsvlolf/s63mZaZOdsEScQpMBFY4YGZuD+lo/CqylIK9/f3fPbZZ5zPk9mLtE5o7dwsqlAKL+/vzAeIuB+TppiWXToxdKt31zuKVs6LHZqs/h7RDKjS+pIMzCjt+0upFK+e5BUA1AIk7+kaxo35oFXAdZ66f4wKZpO1XHwgUl1dJKJqmNo7RyCnmL0wvn2nhYgoon1YoiRxeqf7BwlOc233TKlOX+p73gKolc8ybnQPyNZ9L2u7tK42RzV7TdWKQLRi1ZKU4Z133uKtt97idP4jpruDu/Xgl5vNLbWQtAemiscEVSGb/0+Da9wkUygzZppwnqbWsIhY9Sg54t33z4Nn1s25yqefftqMlakj+Z44Tc5LAC2QtxDY4pA23DFZwphFyH52al1MbQ3jxasuHfVtVEv7ueHjT6fTRSwSXwGGrPcmfv91pDvA0/Z7dJaFxVbS1nVduQ6/XbVgDONYh/4MsU6m3tOPslVVtPttP2c5CdG0v37mAA5639+6kgvBla+lGvic4HQ68fHHH7PEZN0AU2olZWt2juqaamoSlOV84nCr/NHvvaTUhXlaDfxKuWn9g3jlUIwOHnGl9DNUtaJllWDgMroKVWrrPfuLvv4pgnhF1bhB+AAkKjZJUi4vcnI+dihxBBJhAUfnvkam1NBlCZqHN7FIL4nGt4Xkm/iG5nGg1hmdQlNWLRhUOkc8AlHnji2zNdxVN+pLXS4yQXsYLg5znL51EBhNOyZ16RvXLo30Bg7/b0VZSJQCZ2tbdV9sJdGkl4ZvHZytS1jJE4+eYfahQj0RMqM5naeGAqHmyA2cDqSY5tjx7DBpJSf14pbRBcDGx+ecXdPVJcPCq5bKMi3sT2fuHu55OO45z2em5UypM1UXawwDjqny/jzz//7V3+HRt7/NBy/u+PgkHNUbnFO2pKMu/o4uUyhxoRsWR/O+zvuV1AOMGAsfRjSlQMIs8Ro3Q1vjIWfmqRiaqh5daci7RZZPQ05eR7abMWw203ng7Qg4+jgkmw4qmTQpaTFErnglpqIkXWwgR/Vnl4ipDSoUgUxmOU8whDPtCUqtHe1a60nHunTKmj2ZPXevMK0daVUbZBbKQ3FWmkrDa07C+8P7z6P3ArRwIxCXWplXqMpaInbt8FMz3PZe283I45sb7rQ2RSA/BO5wPKGJKiDGFUbVVJBraZQfQ2Rx2lsyCoEkUi6oLM4JTrzzeMOT3ch0uOP+9hYUhpx46+232F1d8/77P6JO82Vg4xpTVW3Ij5biiK02x5uy3aur3Y7jebKKWa02pMiRoUv6hVcrVgljIFExj0BRpukMuJ50srMjklwtxWUDVyBEksTVduAn33nKx8+f8zAZrSNJNBM6gCLmco3mIM2AXIIwlePxyIcffsS4saQ/7JB68LIZN5znyn1Vvne0qsZpGCjJNKUtvjUyge2U7W2UyoujfxFgnJeZDz74wCpGVvbs/Fw/G0UwWUzt97hSzZ816xpoLoxp4O033+R4PlHv92g1X0ESHxC22gd/FqtQKzoXY2MSyHCnZbRKhoTKlPmS7dUV0zSZPvlSnHrkFIk4BzZGcAUqgZDYbAdINvm0upqV50q+6DRpzTZZWiuj00crMBdQrB8BMGla1CdoVxDbDQuwGoGnBYS9kbXbx/V9X9PH4vfXilXxvevqTh4yUsWU8cqClMKHH33I8xcvOBxOpJzZ7q44z4Xz8dQSzvD15j9yR/+pTnQQD5pdAY/EVBaviEZA68nfXFqCtVaMYXU311VZs2X+e7U4/9k3oztcvChnYawYFdOqAQV8fsXj7cjVOHB3mDnVxQC5JFZ50C7xGJr38dlhd8N+rr9eD+zXlZE1mCIxfIo1YOnnKWwREZi+lqCJ3VmtlXmZvT8voV7LCnEcO0t21l//iv2z1ZYmIbxe7277ae+gfuajGpScFdL2rgpVQoShV3Tb82NBeykFstuFGiRAZZmOKNokv0EYx8zN9Q2q6sCJeL6Yab5pFStED+gwWAwSvaEWA7ze3/bnf31xnfirkTEX0JG7fWWpRshXYHGd0giEX3c4FozTfo9V4Lj+O+3XjZPuSLy4o3Jj1kAsgWmZcBiWoSoZG5Fco7YEq42WfgDpZT4zcKtDaN+0Qg+EGK4TXPV4x/jz4Oarqunrah8Ctd489efLgRQ1q2Ho7rrhbI2YRlkIVpSaWATi1fq7xfeUZWZwbmYMM2oJipjBnOYzzJYRJypDquzGjGDKLcMwMgwbxmwUjmFIiBRqOVOmTBoz9TxxOpzYH87cH04cTmfO88S8TJ6JWvNW0UIBPivC4cVEuj1wrsK5OrK/zCw1qiq2/8MwkrN0FFjM6OINyoLL8LUmtYVAu9Qz70ASI+W3IR8jknwiXK2uYrOSP5WMzXP3piCJITXdiKSg2rTz3g0rqoRGLB4gp4SpoYhZcFlMMadkQCpVrFkZMY5grbpKYJRxY0HV9XbHNM2clqmNuF6fheJI4iUSH0lg3M84X/Z8KYd+MO2cqSq1aRZbwnCBqvlziXbEQ6sFzRYceNAp3Xnj9kAjqlvZCuiJR6DE9oQWMCTJzMvC/cOeebbBTBYgeaKthswo4p8ffN1k1IAgNLs9yQqPJfP2o0d8cndkT+ZUIKUTOS+kCm/dXPOv/q2f49knH/Nrv/UnlKJksXL2ixcvSPnOk2izBVZatf1Y5qU5M3zKtc18iB4fWiXNwA7ls88+NUqIoz921qFbUXcn2lF8Q/3sJFatTHPYnstE83VHEsmU2gFlSN44J0oBBhRxXnmVZDKYzqWGoJ51m9g0kkk8evSEX/iFf47f+93f5/0PfugW2NW2rNEATQMn76cpknwATey72iRDn/sQ9lYiJXQgBxGWUtGluHfws6Tx98V33lCMVqgDYqo31QMhiaqzUFA+ef4cTcKwHVlqIRXrh1BRVEx6M+QFxaM+wdkfCn3+Rjz/OqG2ZzSJRpsCbrMkuvRyJMl55Q/a3Axgu+3a8YI0OmBcnDgXgRZ3P2yUvzwIX3vvPZZa+dEnz5r/scbIrjoF2kQqWiUu7nRQA9bBlfva9vw5XwSV8XcNDOgpvnrfigUwyul0bGDCkGDcblkq3L+4Za6QNzsyiVImsxG+57aHDoyskuDkNjHkflHQZAEaFwF8rFc/35Gg2z7qnxL85lYJVfW9CBqxmk1U9X31Zwlbm4o9g1BImDzykBa++bW3+Yn33uF3/uBP+PDVxLksRCjQKwBhR2MvguRlDeaSkr/vcmG7WyU9zqK/+0VPkh/mddgf4Ki92CUA26vzFuO0XouW4AVN0q/wa3z6qKzjd9BeKYRMLm3ZRXz5OkVs/S4adGpboj63ZPG7kVaa/bQeAjDxiex/326VoefxjhGTqsKTJ09Qjd46Fz0IIE9paxbnNKXODokzbo22biguQOA/++uLB/HbxF//pZ/nhz/4hP0PXlGAzZBM6L5aY4qqUW0Mne4l9wjIA01otJG1W1pvTBygFeragzchzLiiLGqj0zdJ2FRBitEPypj9ovhnqxmKy6BGWxCtgssU+eHT/vtJQEt3Ih0Z7MF0PKes/g70slUEjurP0qUrI7Cwpl7JkTX2bC3WpFkQ/xla47fsQTUchN0Oi2Dr4lzhZDleU0cwRYFYY62V7N92NWb+8k9+lf3+ged3R+d5ZVIeyEPyWTcFrRPUDRRhOpw5Ppx5eJi5O0w8nCZO02w9Der0qyoWwRaTatoDQqZUHD1zqTA/7KJWcRA/pdbMlZ3LZ5Jh22Fgnuy9zGAkqiP6tOYo7PxFUuinbp5mQrJPsOAkAvLgeKbqw2HUfr5RRZ1oUGkoRMucte9LT2bFjGuC8/lsKEBRUrFGHAZFxdY/V2GpZvwkCaRCHhJvPH3C8XjgfDiy2+740rvv8OL5C44PZ0hCpquEtH6LQEniqNdLvmHLpv1oraemro0lqu3vGvddLqpv3cJHEmn9LAptimz/u53K0Yw43XG+XuoNxxlr2QL8GO2NEHzDuICR6CdJRmV2OkINKqAYNzvngaEIj3ZXfO1LX+bV8UfsZxuwpMWoNqUWDscz3/7DH3LcPzAVseFRagjLeZpYliMhLxe+TbVrR1eXFE0IQ0o8uXnE8XTiMM0N1YzSuzkOq1xptc9oNq+BHOaQYg6FzlYB6ACDBY+1qifc6pbQznzsZyl9gqKocloKf/LhJ0ylMKmgXp2QFMGRKZtEk2bYofW/m21S5fb2lvd/+CPu7+9bz4KhjEopZySPIInJvCwJ2FarYBW7viR8XeN4SZfOjES5rUPb/+Bk9zua4tvbWW7W2vZOtf+u01xKgblU6lxJ84zWhTHDkAwoMHTVR6c7Tz0lyLjCESs6aL8eKBH0Qkz5XErh7u6OUuZ2H2k+0jxeqInZM9vTb8YNi8zMy0IiMQwbSpl9Toi4fXMfFEGnGl0qS8KEkhbOp5OnOT6vhNqCtUjy1oOZTLYywnvtgZL705BvfB15XwN3tFeMZCZ6e4JyUtsdF/VBcWlk2GxYjoUFZT4X5nLo1KKgQWoE17nZkrAz6v61LMVpThAjwMKLRxDM5851nPXuwyXsmAeTkrJLmBZ2m4SWmbosVAmlNFfM8aBS/LPiVsXdHlPmNM+czmefkTKwYLMU7O74s6lRULebTRt4FdWAlLtyWfEEIOUBLgLkaPbtcZVqUKIsYVmLEFhwX9AaVWLpZ9tjv5D6RvWin89iGWnr1hfXk8LilbCGQovFRqn7o1bJWvmO2IshW7CwVNtbG++hBJaWU7Zkq/bY0vaz03C6Q1M/BckFCgxksXcKrX8fwKeV58+fmS/CfL2pGCX6ztJsV/IEcVkW742wfhcVB5RT7v78L/j6wkH8l999m5/55k/y/g9+7I44sxk3lEU4Tb0E31AQXwTLtA2RQkFyd9S2RZeHozXJOEE0BhyB3fWUTM7QpN2MZpPExi+/dX3DcX/kfD7ZpsTn1gg0wlCrB+vmZEtsTKA2/h4txbgIyIxvum7E60McItAwh5waN1Z6cKGFrJgzS15oc45iHqyhYjqfvblkVaa2xeoHAewdtf9e47m39bf32WTYbgZO54WlZYLFgncF/HtNgk0ZBK63I+iOl/dHR3ZSa8aBitboyC4sEzzcHbi7O3G/P/NwmDmeZua5sCzVGlureBBv4aaAK4EUNGfQDPNsly1JQylMfcVVYYbsagi2FsMw8ujRI25vHwyVlfjkyMx9+zwbN4QmuLK1BTy1uKxmNp5poBW1Gl99t9kwDgMP56OpUwQiYNwIk+HTrkmsLssXtk0k9sLRBBWkJm/+ERYxgT1DbkBqtqmgyQzbMGbefOsNhtvEeb9nWWZevHjG4XC0o+UJRttxbziMYEvb/3GRgCZ//nBM/YzZZw3DQBJhnmY/505rWjemaQ+JIO6JB+h+7qujnFFlQzpi178vtQ+KgFWSOAKpLTjrdqYHBbUpn3SE2ZIEd6zqvRIIgwchiwqDjCgzL457jj/4Lg/LTBbl0W6HloF5WShSefFwZv/HzxEKS00mV9aAit5UJWolVokVdCAi0WmEqnCeppaImuPJ7fMEn2Baa5NCbDznlJrqjg0W6Q2Lw7AuvUaiFhsvBOLUk6NoEDPFF5MAThxU0DQianZwQZDkEnRqmuy64ggHepVzJiVxLqntx8PDA9/+g28b5VKjomUylmMemB2135XCMoBmq5aAtagUIFcI1atxGNhutpzOpt0dwFDkon1abn/HdVlatK85HkTH5OycgqZiU8DzMPrwFQd4MNrV46sN773zJqfjiU+fvzJwIpBKMeULFesrCt8QCGAPEfGAwc62/fxLaol/q31vcj6vwJgzT29uGMeR2/s989k0wwXnvafXmo1RS8JEkCw+UCdBMppX0cr+eOBwOhqFT6wJvN1MdU8oyRsoPeH38y7tzpqtWgfesdY9oL4MiPF1SB7I23NnT0YXjwc8afGpsfvDidNpYql2Xkm9WVygoe4GGIhPbaXZHDt/qfn7SPZIyec9RCXVA/XXAqlo3q04XxrzA9E/1kMGYRwGvvTumzzcPWd+OKBUttsN5IHz0RTFcsQ4mDa8SAYZyMOGsyjvf3rg+csjx2liLmZ7h3FEkw+AK0axwX3luq9CsLUpS3Cy7dlqKCeJECo9wOr7zB6nIXsVzqmMfjDV71ioe6kq2+2Or3zlK3z22WdGJ/HPi5hoXaWJNbX/9s8rVtlK2YLXoKAFBbcnr50ia2BFf1fr4/DkUbX1HGgDNm1Hl+I9lx57Jsmu5mXJgMVz9jkxV4DU1zgOfXVtenNOwjRPbgdtbZsqo/YrkZzmFZr9yUG24N+3wYd88a8vHMS/ejjx93/lW7z/0Ssmm7nEtFSnSlS7+JJWG1stUKyKMJiBU8tOghoW6hNDNtWD4OZmjTy4c6jEM5dQAMiOBopjVSqJQ1mYRGEYnGNVPeDHN9rHq9PR2AiyNKz16mDEX9DIT1fBvPuNFmxUIKmSB7XMbTF0WX1AjR2YgikRZDPufiCCn6urwMvW0fTZa7GJYPFY4ZRaKVurN3NWQ4i8/J0QbsbM3/wr7/C1d57yK7/9J/x4r8wGwJPziKSKTYC1osSisD8v/OH3fwQpoTIYMiPF16ZYudsNRlkK59OZV7cP3B5OvHw4cftw5HiarKF1XiiLtoShaii8uJSjWoOY6myXB2GQkLmsbV0R8UsmSB5RrUzzwt3DgaXEpDdPvNSGJJVanSYTXP/g5Vn9gwqjNxRV5/2i7sTUZOZUC2+88Qabzcj+4/OqotQNUzgEl2Y2KkkExaqQIoQ3p5cZsHzdArEUCBeVIsBgQ0vUk6dSlA8//IRlntGUmUvl9uFgSjiOFsmKxw8LSR2tk04NkPgx4ZjWjUbQ7lZQAxqKtmpGNYqKDXaRlkGYAzP5RHzgUfAn7c9aMOp3bJft3p+nmUVBcmKzs+bPxdFw7/6yAVsR9BvhcZWMhPZxD+whEl1/aASR6vxGM7qDG9GKcCzK2QeNDDmx2WwoM8wLFJ1NJhVLcm27qzE+NLjCPcFvftwpPevJi+ZQlMP5RGQlSWgVt/gMm0wVlTXbHauGDeTBg6PF1TjMBTTUK6qdSVJzhKZsEtvUqU1mv1zdJgI1EoujuKZY5U5QbeJqV28St+mdItF6gLzi1SRvq1O7/Hu3w8D17oqH04m5FHO46jzfUGTw5spwvOYzKkudHTmM9fX750FvwYa2DWM2XrnGGQ+ijfuWagGrZKdeuG0TrCGVZUBnQYeCZrNDm6R89c0r/sf/7r/N977/A/6vf/c/Y3qYmas1fyOKFg/9BAj+tSPfKWUPrOw5VAOlVj/u6olnAKVBdfI6ygJXsvDNzcA4DHynFo5poGaoy9kCoVJYV6Ys/zNQbC6L26Gl+Y0J2E8z59KpLwFmXaDmETwlY+UHQhEIuFIZhoGcB4JOVXVBxZTVpDpg5Lc1plHbr/06KC2oQ4Lg6pWIIZktlAIyGMCSQDFKTEpeaRRpjfa9oduf1SmGSYQiDkAoQKaQKamQZWasgIzur5wG4/cjDernWc2mNMuTGgC5uAxylcT+eOZ0rpQCkjM5DYgkzpEAia1dPLeBP4mlgqbMw7RwXip1sTpJSfb7qiC1krxBtyKcl2oN2bpKsD0pGbLN21i8Mp5WMU6j7qoiKn3ieo3usfV5oPkGQ53N/l9fX/G1r32Vu7tbjsfkevmXyZrnVf4zXwNy4vf9/UPxrfknD3KXQk/sXDq6+d9qPVbq7xR9XNKSMWk9iOYT7DwHsCymHtkAwGBQ2HcXq+KlOMdE3cpsVbZ5Ccts/UbDMHhSWi6S+JYw1TCVTqvM1lCvHrOQOgj5F3194SD+x89u+dEnhbIkaqqoLp6JBLpnnHEhIyzsrkyqbpmtGWBIg2EssiDJs0F3UCG5l7IZuaXU5nCQ1NQeoms+p1AvUZZqUkknUVMQEJCND2So/dLCmku+ClDUu7896DJn18tmUappUyM9U4rGkpA9EpSr7cBXvvyEzXbk00/vuX2YoSYLUgsoqSGeki5VcXLK5JSYppOj8FCz9gatFX820HlDqi0xCITOykrdGG83A7/0c9/kF775Vb77g0/4+Hhg1oXMCMmQ7QBPzJBYs+1yLGy3mWFIjCiIrb8lGpY544Hiw/2R42nm/jTx/P6e+/3eaQZ2RtZynGgMqIqKTJQ718FQbYgtLgVm2ayjmcWCl4oNXAp0oKW7YGg3Vi5OGQuMxJpIrGxrQWUtZri08ejsE3Ko9KTEZy9fkhLMxZrmooqDdEpCFTOqvdazNh4tjrCGQglOoKIsZjjCMIkbOBzt8FLerIvrM6dYFkdTjAqkHsRnyQzZjIGV+Y3HKkOsrV/oFSIScwT66pnzWmpp5fEIplLsgQa3PAK6VreyYEnjDvntWBn0hPD08Q2Pths++sy435IT290WzsFJjAAC04GOc59MWWLdsDvkjoav5ccaFcCDBEQsYWiIoFfhpCd3cxFePZwI6Uiz2wktk2moi8uHrWyBsEqsY//dtkRQ1pqNPSCIRikUymJUAW0L7WuKNmdpmxgzE0pzikmMQ3mhKexOPM6cqA+swxu7k/aN9jNuu2TBzpDE8ztnki+98le9gZxaTRnMz9JSChZ5BNpG+zUR8Fdbl2UpHE5HG8IFTNmD8ABbskCxGRZI9tI0LEWRWlCnVWokONEPgWDfarMA1AMTfA/FKXJBJbDz4T0nBFxkwg11sQFa1cGWLKBL4f5uz7e+9bt88ulHTNORWrNV91TRungikC0IFacyRXKjsJTqPtrewfrDU9uDeZkhmSpQIJlVFwZsiOCgC9984zEi8PHpiq98+Rs8e/WCjz/70HZcwgxGk3xwjo0yFc2yWgspJwrK/dF0/FWdGlCD++2e2W0S6qmTRJXbqgnBbY+qEJ5Y4utq52BVIRaj5mhRo/P4Htndagaq+WFLPNX6iFBqnciSMeUuU3izYlzssQMRyRDZNoXar2StULL6fbKfVYCNJJ6o8Ob1FZ8eTixq9mJxOkYehpXMaWoVUMXog9YyMpqOfSmUpfLi1YPFC4xITZyPLoIRdqjhHW4XcEUmtb7DNAwwblgaIu6+QZUsym47MvnMFMSadZP0e9ZiBV/XJBF80+6HTUY3Rv6QLQ4pagIjBrrlVoWxgUhmm6oWS7q08uruFb/927/F8Xh0W9fpm5+jZ0ZsRwTMATJ0pZyw482kOUAhq7HZg9ufJX6GJ1rNd8Q7p+TJsDa72uiZWqhzYdxsuLm64ng42CRunD6GJ4jRC+Z2MGYW9TlAZjusmmbASalxby4D+IhXLA4dPAnNndZ0wab4i7++cBA/nQswoysHo345wctQklEqKQ88ffImd/d3zPPRgmkfJoLU5mTWFzWCKhHnL0aQQnCpeohQ1NGSdoksyCWQI9/kYBO2w+NfEVR2PeqyOlSxIb2MZBtp+s0iEUhDUmklxSzKV956zL/+L/8SX/7au/zqP/p9/svf+B63h5M3MRplxBqiSnNYyZtOttstOWcOh70P4rBF6A0hr9EPoD13/7O+8YGmHObKP/qtP+C73/s+P3x+4FSjLFr83145CTqDRoCszKWQ8whkarEAtBRtFJmlwOEwczgtnM/Kq7sDr17dc9gfmc5nS+K8y7vW4N82v9rpTm2PzOGUGnrfq1dSG5ijQF36cBR/WWJewPpL/LLWGsomixdKTQpuzAOLQhE/O1iAowiahepZ/2mZHXiSiBVadp18inGNP3JkJShKUVbXi6dyhCAHwlFj6e39Wtd8YrMZ2e02HGKKbEPuwlka2hsBEklcfSMxDDZt97yYclHIXHWKhn1OShmJoLjbmcvAsAXFf75xWdMB1l/d1lmi8uL2lv2QOS9LQ5YOx4NJkQKSrQKkdE6v+lldf/iaivenDseQONZG5TGk2qlXngCDunMaWMpsZ0WsCmiBjfdH5IHrqyuOp/NFEtFRaKsUtQSAHly2qk3FbEBVk3TMNhxMRdtgqHYXUMbRgthpskb5Uq2PY8gGbpQSf99fdpU4rteI1boFqtV/lifUWqHKCgSIpFba323KJI7mBaVgzUsVDyC13XU/pym1iuI8zU6fwZF+W7eq0Vzq06a1WiCaRwSjcKKwzBOlTozbERU4nyZsGEtiOyamefLE3zNJibMgHpSahGIJqg9CtnmudiTGyqKT39VELoXrzSNe7uHv/v9+g6XsOZURTVuruJZqPPF2EfwOUQ2EUrPXtdKUOFIylZ5lWSgaAJM37SeQqkSqvVSzxUcp/M5HP0Qk85C2HF684Pb2JXgyUspK8lXWCWtUvnvwNOTB7HOtDg6s03Dfl1g7InAzhRBEnEIi3ssUtBAckNDWzGrXMtDP7osj2YthPO7yur3wCFcQrnJmkWIAX4aFxXyoZkTGDirglD3vjQO7azV5pVZ6E3L4ehFhUNjOla/fvMHXf+InuP/h93i531PFqFUi/eGaJCKZGEqFQilQpZjd9SWzJ7CEwxIQr2j7czUKSBiqqlQp7u+yASlLCC6YuUpi04ff+dLbPLq55ocffITMGHC1YiB0eU0L8sUvddjDoHOgK9pZMhqIYj9DSI0ColrJ2dkBPtwIQoVPOJxOzqiIeOTzZ2ptgwLkWQf5a1u/PidrOo59mnzejkEPhOs6nutPsK4MrH6z/ffabyXBhz5aXBDVg6huNMDCwaOCNQ4Pw2gUuWEkJjQPObtKX109gxsJ7T+/x9Z84a8vPuypTsZBj6Ddx75HBmnd4Pg/mf3ROVx5RHXuh7dUh1xi6ISufkZpjiOnPmI9+E4BrEQncgvUY4OV3lCEcZytfNkb5dbOd53tXQYfgZD7RfeSbDcwXp4qhcU1QnNKbIaBJ4+vee/Lb/HW208ZNwP1UFFxWbIaOJ0fNDVFgnEcXU99dkPvKJuj7zH5k9wzv8iig8IU8UIffFCNZs7Ab33/U8YkHHVrXGAylaUFRUpwvXpjnuPYhry7SkatylIqy1yYlsLpXGy401S525948fKeu4cDh9OJ82RyecuyeBAf2TF2ZiSe151DtSDdDHCML+5IaCRzoI0rXKK7i9VFXWX5UKgxSCuZrFRCGcWkBgUojvTnFNzqUFWxzzbc0w2khrGI86CeO/pkxjAycR6J8xguyu+sI/bJuf/RDB5JgL8JArz55pu8+dZT/uR7f2IGOPVzGE5IwwEQTtoQvroYytDuVUMDwqDSz76fHw0+INoSFmuSs6DRenR7mR9//qALXSbD/TkvUBWUcylMpZKHkVIwidKmMLHidwu9aa3ZCGlcTFkZvJC9DON+SYtz4xsO1J3+MFjQ9OjpY4ZBePnyuZWRVYGMpAhGpSW3ESYbwNrnWtiydZ5kNPcF0vT5xCiRh8HVUkwhySQUKzFbY14saG9Io69D8saqsix+N7Tdl3BMkmKORk+EWr8A9F83b+rPiyG1HgWSPNm0dezoXdUKpbpPoN8JDAWNaiOeXofkPzkRTeciidGftThnniyGQKJoma0aePWIx0/f4enjp9w+e87x4SWHwwS6kIYNkhN1qey2O95++y2eP/vUtL49catqdsO3CESpgaQQVdlC8opyTcKYFt4ehXdvHvPZiwfYXLMvZ16eTtSaENkwOz3MkNjLoT6WiMc/jvNLKLNYIJCCeqfht0BrMQnalCn+a3UHVIfM+6cHBDhyxXx7xpK90YMxmw4aNmcdCNVo8K7qE4QtgMuSG0ASgXQkoGu6g9kPj5UxW9H21nu/7Nz6bADL0Ez32v1LOyjSYm6iWmUBj6OyKEnMBif3GzWBjQiDvBV0UpgFpDKkEUWZykyRStHVRN8Uzlu86lhJrvlvf1RRyUwJPj7e8fDBD9ifz+DVq/bUqmy3W7RU8/sCNgQIWjVISqsA1AABPblTDduUHS2vbTmy24oqtSVOYU9tyJRYAK/22TkVhgR5sCbjHHGOKySncfAenaC7re5wpdEeo3l5HEdKqU2ZJZ5BwrJ7TLEsFeR1rjsdbPRkbw2umBkOpRavDCRplBIzK3Yf1zKXzUzGsziIpH4II3iO84n6GcrJE0x/3bC5q2eK35dkSckyz+yXdU9K2Gy3Z8VscutfWoq/w+LJZnhe49CPw8i42XA6Ha0SmhNIXunCx21b+8lLsZS1z/zzvr5wEE+WfsncOCfXwIzAHlUEK+/ePxys/CQZsAmAkowluEaKVJXNZgPUpnMczhAPyiOYNhkgy7AFPueoi3cDm0EyLnlelSY+F0ysMsAo/3cjJa1Rsa4uWxg+FTPKm2zOZsiZ2/3EP/7WH/HdH3/Ed7/3CfvphA7GNzUZTFN3MPqEHW4L3Gs7kKrWZBWZca3Wbd/lFcRj9p6REkb3InCykk8pEwcdkDIwedFsI0671WqJheJOl4aMtGZi77YujqjPy8J5OnM8nng4HMk58fBw5JNPX/D85R33Dw8cTiemafFpoqGd7e9XjYLkV8UcWR7MEPie18hwxKhOa/pQT7wspArEMi5DILKtSaR4wjjmJiWWqzKKWKBS1ZFgu1TBoxSXwjJ1CTcofi7aRV+tvyEfxiOO6k30PISBEbHPNVS4owl9LTC6SLvfwsuXL3nY39uAD0IbWDqqID5JDh8OIlYVG4aRm8ePrAlsf/AJpWl1vrU9V3FKkQSvKpQI4g1XqBXROKWX90nEjFfQfAgDqGuj5bFiVapzSIsfNPXGNRWjNfgbUsvcbYJvgX9Hb6JzhxJBfCQdcRYiWKxaGTx4aTxxd06n44E8Jk9kIxjuiRcklqXy8HBodjcmHkYgPGSbbWGN2NakVqopNeScXB0iSr+2Fjbt2WRUE1YCr5EQeYIwuJb84kmmQBMKUF2VadvauJ0QV+SJBLMlzX37ewIQvykeDPZ1yzkqGB7UKc0+2LWpLfj3UI9aXJRNwz7Z06Vkw69STobgEk499UTIEzcRS5AHGXjz7a/yt/6Vf5Of/pmf5bd//Vf4vd/4h5w/PHI+z7AYhSVnocwz9y9eotNMRlvicOEQI9PRaKDDzzmILg4DZzblzC++92X+2k/+FP/pb/wOHxwfOGdlpqAy+E64Tfd3r1V6v0jsiCf+w5BaVVDVbOrkjalBpbAAKB7T6SuqkGB7vWPMljA+fvKEPCVePD8CduYi4EBa7cT32YK0LNYnkJ2SUIuCa6jX4vsdfQhhw+L3fA01cj2/Hpb7aZtKagbG5y7UCMq8ykvYoEBhu80GMTqtWjKKWrO2ArkWvvzmDeNu4MefvLSJsgXQTB4SsIAaDenqasdpmjxpVK/Q1p7++l2oHmjaYLpkKP8ofFYX7peDT0ytjHmgiDTqsAFSAZZMiAxIMv+lYjTjMs+YXthAIO6RUJlf6gmWtP2y/9WWQNn+RS+QxU9Gl9Q6AwsvPv2IV88EKYkx7VgUr/TTYhZTdYkGeFO72m2vKIv555BvDf2mlAbfk+IVXU8ypZ/LOAvWA9Enbpfi/tTtUY/P1vbfB2yJ0bJNgEFAtNGI43vjbLT5AmjrH3rdr7j1urjrdivXNtx/z/8jmlDBVKgib1iDHcb4sPLHOI78/M//PKUUfv/3vu1youpKM35nsn1fHga+9rWv8erVK148e8Z5mppPbGo1Vdv65jzYGtSp29kv+PWFg/hu8D1TyoMHIRbsogsEx3NevElQCeQGjNv65htPub6+4dnzFxwOR5Kr3EAgoZYcNOfjxvViCA0gMZNHezAeh2ZZeof2OvOyRMAcbWu6aj/jstS3zgQjywzZQVWbvCqq3Fxfo6qcpzPP7w7c/u53GcfE8VjxeSmIDmgVhIWUqgepiZCEW29aow2sfv7FgfUorJXI46hGICkx5jjQESXlDUu1EfLJJSfN6aZuQJJli2vKhXrSEsjRskyczyf2xwN3D3vTLE/Ci5d3fPLsOS9e3fHwsOd8njlPM6Xx4a1kHUEqkd37PmQyw5CZZ0fi3HFE5r12arEfLVtv2XXnZ64Dy9aE5xcnqeGZ7737LvcPB6b93qhEalSIxSsAeJnTfJIpVwTX0Ers0u+EnwnrldKIg9xw6srxOTrrAbo9pKHazWhVjUogQ0quG83FO8X5FO8VsYAn0GqjWnzta1/hjSdP+OSTZxynyRqjVufI4i5/sBrhegTmtHOAOM9b1VDfSKxzn4i5XmtEPhfEr+/T+r+HYQOaWDxQb+wpTyoVGoXt9YRgs9kQKJV/ywXKHb9e95Dsxi3vfuktpmnixfMXFgD7d0/zhC4Rw0apNu6k3zVdU73cqUS4lITtdst2M/Kw3zNNHqjKii+fVko2cU7c2W63W3eGRxLaBlUZbzf2IvkedWWlQMLWgESsP3TJSTNEtARsvReXts/AkmlaDxyxdxyG3EaTh60J6qPR5UKjWkB9LK5Yk7jBB/2sRHBpgW9H+uLOVzVAZ8yJcbNls9vxX//X/jZ/7Rd/nve+8RYvbz/m2bOP0fNsFP9s55hSYJl5fHPN6XTkeJ6MLtfewiq0ocneVcYsdo991qrMacfvf3bPD2+/w4/OEwfwJNzFAIDBDIDTZINSkmgqatG7kBJXV9csS+F4OhGDaIKKinSJVzs35jtVK5qsMv3Wk6egMy9endjvJ6jZUOrkUzxXa2t8dKsQ9CDd+qWqmsRtjSrCiiLX0hEHJfB+maB9iDeWi6EuEPc+0exl91PO9V3dQfoS+71x20tPqKzvpnJ9fYOWSp7u+Zs//xV+6Rf/Of7D/+j/w/c+fMW5Jgpbxt2WnIX9YY/kjak0TaszjXqSFT+4y0gXVdKY2YwjOp+J4UkzUVGgJZTqFbbiU6gjMVEqRc5IGsl5R0qPoFbm5Rwr2XpWhqEPyAs/0exxv5RtHyPgFOz+JK2Mo8nb6ly4Gke++t6XeP7inlcPMxN9XcPORNwSyUfOie12w0krzL5XFUpdel+Wy8Da51RveqdV7SMe+1yguUqYG5AWQerQqVstDlPbn9h3cdDy9WpuA2MExnG0BGAV8K8R+gBU+rRVf2C0JZ3h7F6PDc0nDWbjVr9fq5LTwDhuuLm5YZomAzwXp9X4+gSCEn6plMLNzQ0vX7zAqsuXzyzZJTX94q3f/Z8mkP/iSHzpwXih2OKngd3uGpHE+XQk+e9rVbIqFOcDJnMMu92Wn/7mTzOMA3e395w4U7RwPp3i7T3wKc6jWyPnhgiv08HQXdfS+UzrIPh1jdr49+UGdVpAyt7gp5BaaVpa82r/siBoGAY2mw212oTCUhamUpFDRTAOpym5CEkHd4hLC0pk5eDjuV4Pdl5/3nXmCTbUJ6XEINIOnwxRNl78XFn5NCczB0VdFVd8up54O4GYBnwgma9XLmotHE9H7h7ueXG3RaVQauH58zs+e/GSu4cHjqcz5/PUkOO2YhcZs14gPWWxKZW6MvaNX+uBVHTP2zeZEY3JZnYhcuMYri+/eHNVlLcD/b4/njhOk3OXV8lbJDWOFJVizX3gvbGycpT+Mzab0RRyYp9SssAiLqQE0cVROi4TRYnGRfsPKFZ9iWlu8TNj/yNQs3WsXaaq1pbcPn3jDZal8PL21hUJbH9jLSOwiB/pVyBesK11OJLsDbJRpRHbSOf4eXDajoq0c7e+h+vGcnOkCSFTFmsItADekZtakWxzE9bjp8NYL2Vu9iJO1toIrvtILu4QyZq3cnLVJECi+mHvrk7bWn9/8GsjYOlhobTzcDqdmKeJEomYn02rHvmC+fvHROLqdLX9/oA5/NoS65DPCzcOstLnx5Ey2mfGeUy+qRFMpZSbWszn0KtV0h5nMsre5oRd5WFVYVpl1aznY5jp9MDO9zDl3hcCjtbr6iP8G9cJWLxL9TQJGckps7/f8/yzlzx/+YKH44nZHaBqQRclqSlvsMkGrlRlmu1eel8eVU26c9xuzNHnxLLMLEulVEFw+pEmlpz4tFSeTWdOMlBQNgVG8DS+kCwG8s9PNoHXG+Yt0UmMo1Vr59mShh7sNjMC2H0oLTjyWowqtYDkyovnz9jkzPV4w2l/cPpZHw4jsX+skFgsCF1qT3bVOb7dFlkSIWLodWRbcfaXUkg521RrD/AMgfXeJDEbVqmG5MY9DyGH1ni8vv/xhjXyS19VS14MjMgMmw1zOXCazjb4yWlX6IhKYloWcp1NHrPMzHu7L+NoPWbT+eSmzH5+C/iWajZN7T6DkqowVEEWZQkgBzv7aQUQmSlwLr7MKGdy3nBz8xZ//Rf+Nksp/OZv/grT9MLpqEJwjWs0i6ZV4uzoxfp+ikuOCu6T1G+PhF8ceOuNN/nbf+Nv8av/5Ld4dvs+OO0qqlvtHq2AQlXl7v52FfS6T9DqGGxEuXY2Og8c96UOPLi9r3z+3q5tiggkl58VGxXvk2ArTQylm5NL3/3aryVAidXPWMcn7X09HjTVvlWlbzGal1UW4jLYD05+/0xVxlkhOFCo2anF8K1v/S7TdKJ403Co1RmTwddKKqXMfPjhjy3pSBC0OqKyGbFBNZu/HsoWe/an9nj9KV//FEi8lZ40PIcYevSzP/dzlKL8/u//LmWeSZRwN96sZM65lIV5yXzwwQeczxOHwxEwPl4poZUeF9y6+tdZSeOVxTFTdY68umHOLQiOQ7vmgXbt724kAecwxmHxwxRhWwvadNWw4X+A6Y2G87Ugxpz5zfWWR9dvcPvqSDlbOcakBMG6y4uXp4Z2sf60DQt0QnXVeBJ/FhdFDHGXlB3ldoWOlJwmkpxWNBtFhGRBvhZkce5v8uzRVSiGIRKO0M21ALAW4XiYePnqnpyE4/FAKYVXr/a8fHXPw/7I6RwIPD4+fHGEI+6LNme/Rsql8ew6Kle9A7xdVE93Y3/UNyhQ7rDVilV9tFTnnDqaWWABVITPbm/NCHhnvnHUMyYJZbw/QwxMds/WX8DPAm6gtpstT994g/1hz+l0ogSq0s5Jf9cOyffKUSRMtmYKyUt82s/qNE8XgZYCszcWDYg3yiVIplN+ngp/8J0/RmvlcDhTff36VLoefLagzs85K0TDAgA7gxtv1pl17mdR8HKi+rrHfY3pxj1RKCvkJDZpmc/23OJBosvF4RSRPBhfcfLAwYJKuyu1GGxu3OyOXsXdEBF2u53ZndmS23ma+PSTT5wHL77PRnt58uQJ11fXfPrpZxSdUbUejaBlzYshWSRT6InQVdVoCQKUqhRdkJx7EO1HtyHnGEVks9lxmk6ewFWrALWz42c505w/ahNQz+cz8/noZe9ovFc/A3E+TLIRPxuWeAWa/3lHG9MtYyBMs0UVnHhgSHpQzbyaZGa59zeFVCDiiaw/W4AVEbhG/SMqufE8eNDQKkbAUpXTNPFw/4r/19/9v7O7uuGTTz7m/e99n9LsVaDOljjsz0eW50Y7qW43tILkntw93N8jKXF1dWW2ZDnZoyfro0mYvZhQyBg8pbBQGBzwiP0K26MREIipczQnEo7a5y2ELVACoXVZxkTrFYh7Hv5Qq3KuE8sMj6+ugYGi0RC7AlraXfZAKdY5gIxE6xkTjy1ppsqDrDQQWvsxNXiZZ6+OFy//+wTW1IEw4xeDpOyDbtSnW2r7OT25yP1nYoFVTmJ9PB7A3N/dkfNAWQr/4Fvf41d+9/u8OsOcr9BqUo3TMiEUSCFxbWf+3XffZbPZ8KMPPmgAUDTcgvHhpRrQMp8m0IpUBU1ojlhCGDaDTV3WiCnU77OSk2mpJwwMK0s12WaEzTBQFqGosLvaUeviflmsUTv4z15lDRS4xPtr3Gna/S1U5tMZwSDCFy/v+eVf+TU+e3Fr6norv7oGLdeMg7VKHJFASFQ/DBSs1dZC/UIbbdrtgyP2bSpqWP0AT9o9d856VbTOF+p/4d/VgZE/q2L7OiiD4Alc/3lroKXbEZodDNBuncQYKOP2NkxdrSzz0qhBVUO1ykGcokznmbxU5tk01mMNYiaLRnLqfmWeTpxPh9Uz0kDJNWgbohSXQN26KfjP//rCQXxGbFOdc4VkVIR5WViqEoSiqpWslSEJ19trdjfXvLy75zjNnE4Tn3z6iQfEoJpWWaPtS0ow5IGpzo3GAlZejsMeZ+YCZfego6O31oTwekC/VqWJgx3QWqDDkUzYr7Xx+qI0uV748+wTt/JIkg1FT8HZYFZvnhrnVXWhX9r1gf3TUMO4BP2rH9QoLyWXucObJKPMpNVoOxWbzCplRopQ2EJSslcaBFCxYUxgOvoxICOUQARBC8xz5XSaubvdU0vh/v4eVeVwnHnYnzkcz5xOE8fjidPpZAG8X1IbTy5tGJVqsaEvoxm9ZSle8g10VwwFbGuxuqBxYduqdNSx8an9fCoFTcYFrGqIq3pFQrUw5kwm22TZhsDWFgRVDdoCNDHqpC0xQwvn496qCRi64OYIQmVG7JdBGLEkwBziOGa244bD8dgcbtyFxZsWCWQukDMJqolNma01UJPBlDKo3O9P1gxWjbaVs/Do0WPmeWa/PzTKzhoR0Gj0c7QiUDaw3o11UNr3gvb3RAPhiMQUap0bJzSobGG8S7XBOpKsEalEkuxIW6kmnZpSckUXW4uW5Fc7u0EzieQ6ns+S9456QsiuxX3qQeb19Q1Pn7zB82cvWXSmyY9avadViRxCJFxEDPYy+Vi3Ex5XqR+Z9jyO9qDKtEytMVuyN0rXfifdfbYegc12yzd/+qf55JNP+fDHH5Bb0G5BFw3FcbAhabsTLan15wgQJGwRzdbh+2dlYqtQdXGApgutSkisRWIdQVJQy1IW0hAATfbFwHO2CDDXCWX0nSTfc7HqrwhTXXj17GP++FtHsmQOhzPn49G58DO4goiC2zzlXOy8FhWSDKRsAFT1pMX4u5X9/qHZVUkg2QLO5E2PxXaftAxUyR6oupJQFR9+tcpetKLF9OaVzGazbVUjoyOE7bKzk8fMW2+/xfF04mH/0Gx77E3KyVVHTKFGU+b2eLZ3zWGfcXvmspoS65jCdNg58GS5o4e5gykpzo3dpXEYSENimkpH92vo3itzmSlaEJKRBBJWyfawTrJQZwu4ov+HZk4ceIlEQ2168jtvv8Xh4YGHhwcbiiTCeTqjCi+LoGmgJGs6VjF6iZ2h0ZRUpJoPwXqJQoLwIngUTKdCMurCEbIUxgRFoGZv3i8WlM3z3Pozmv91+22UMZuRUyvsH2751V/9/7LbZqbpFmEh58Rms2WerZItQamrXXlL1JLolHOjnDSKiVjloSQgJaRkU3hF2B8XvvujD+3+e1W9CTC4hYqqa7d54ecTrVchfGurmKyMkN/NnAemabZ7735yd31FUWWazvazSrHqKQ5+qVc1ldYb1M1FTHZNDcxa2+3L5CNiJFv7FDSUtQ2LtwskO5JbBxTqYgBRVALD4K2Th6DOxB+bElPq57Qqm92GUpbW3xTSnimkWYnEG1BX5dOghUpLyPo5gihtrysjfxrr4s/6+sJBfAFzrqsa7jJN/NF3/oBSMW1NySQKQ515a7PhX/6Fv8p4tePv/dpvcvKyX5QPrMHJx86Gjq6AZXzRNLtaTKTRBmyVwyCuSirSyxAWWFsZZ1k6in3Z9ezlYu0/J5y6K/UiaribbVJZBXJ4kOS6xZKoWJb6sD+y3xeWkkxOMilItf4IrIQXHfvrjBki2EjuJBPqnxkydmVRfLA3/TT2X5oj6zQDJxo1NM1GEQdyYj/QFD+cr1ejwTDWqFcKlrkwMXOvlfN0ZrO1CztPlf3hzOF45DxNzMvS9kF8r+JzYtKk+Tt3OsmaMw2BY9Xw4Q/pZarGPbdszUtriiGBPfOO85myGAcGS+ysWdUcqDUMZke/C0lg8QwayU3qjjboSj1QM26ooXxmiE6nkzmvGhUlQ+/tQpvjtGm13iREaetbqzXVaA1EvVOJAomJKaBZOh0h+bmt6sNtvEfFpuPWBlYYFUwb5asPxnJubzNo/r6euJQaA4OsT2LxfhVSVDyikmKKBGH+RXvg3RxIKCPEmUrOaWw8rl4ClWQyrCa9Xagm7I7gvx9hgke7MXuhBYP2tkBdldLF7UqcaZ9E6z08KQmffvIxLz57xjxNdvM1FGIieLGR3tvNhul8boNzJAda5hSl/Hm6Sqd4+fCy5CO2SXbWxW0LgRb6YkYyq4qWhQ8/+CH7/YEUtAQM+Yqx37YeYutWIpkkYuz2uc3GRMITGQfe/+D/mPN3pxgoYrPVqTn/aIiOgB+xaco3Nzfs9wdO58msT84kCQ68+Pv18r+pulQXRBAQr37VwnxeePVsInnfitl2RRlM4Sdn6jxDtn26ub7mfJ44nc4Y6mn6zZITRQRN9vxL9efHk6bWrAyb7YZFYZonQ+VUVtKX3qSMD+UjKHhmi3xIKptNQs9qNBRfUxVPXD2pfLi/Z1469TGS+AgcLYAWlIzmkVKLUVlSJg0DdVkYxHxR1YQmH9aTsFQspgO7Aoo4V3kYxkZVU9wvR7BLpSydhhEa81YJK06XNHAnZlfEcPJIFFMW04KXkCmsXfZTNYpwbhcz47hBJFMRUh7t3FGdFjHamauLiR3kTF2cyud0PtpAqcp8PjGfDDBJ2LTvQL+L2qySqI4ntAF4EVAFVaJS/ZymZg8sKDPqsIlUZBdgmJin5wgDpcwW6CGU8tB59Y1+JuQ0WuVWfX7A8dQAxAAbN5sNtSzMNbjp0uxpzQbYVMSpP3Gl11QZ9VjWY6VkYANCu29tJos7jSQOVGK2zKiiOC3E/s6QB7787pc4z7NXLxeGYUPosTcQhRU9USy5a46gZwoXgfiaJmN0LK8eBdAR390eiFYdTCl1wAn/Y68uR4VPsGQnqkhG7cz956l4Q7StW8w+UIX94UApRiPruYC2e3upuGgNq1HFF98HcTpNUW/Q9SQ3Epmgn/4zR+LVgwoR2G5HSvHJigBFLUNMoBRIyuOt8PNvbjhOe7I+UHXrP86bT50XZvGqejZjgUkp1TrVpXpzpjd2uNMzVCGyl3CUjkeIobvLvDDPZ8twU8hTBtqt9Gl5WJCNsorvV38WDqZ6BQIWaqN+BO+vlGKBugJ18NjEAnetxu0NXpe00DoyzI6+tEYyD0o1Qd5kKwMX0GWhqaU0RaDBZPo8jFVHDlMy/XoL+gCS/XeiIe9NH5UYLEN7npJsGEjBSmtVFxZVyjQzlcQwmczdPBeO5zPH84HTdDQDr9p4d62UFaoIfvxLqZTpzJBtkElMwIueyYT1R4QICfiF8QA00OIYxtWCDq2gxWSzlkqdK8NgfH9La4RxSFxttyzT2QLKJFRJqIykvDG0bjqy5otWd3TZjSluGAaxKbNjHpiXyfSC1TSEyYbK4c7fAg9DV0sx9HkpFWFw5xfGp/iUVeeHRyk4nLuaQ03Z1q3q1Pjq6ntuyGgfrHU+n5sqA+642qh6N1RhjBBDUqoHV57RYMSdVVSY8Embl2G0qTHF35GVUYqza8lw5MSorhKdFttbooys3r8aAidKcEDxs2s8ZD8nsJpynBBX0qpqMmmC0WBSjkE9ylws4EsJYqhXQEfm1CvX44DMZ6gwU01Ct6gjgcmmOy5G9VmjaSKhI12pko3iZgT3hvS1Em6DT221MlCnI88/2RNIT4pkD6FWR2+IypG0foxSqwcwTimJbYZ2X8zP1VZ58x9iwIUHXGa7gjqSnE5gyJpUDxSavJVSF+W0P1Em0/MW8WquQgxzs7yjI2oRfJTFJyC6hJvJEidKKs3eD5jKDQrLBLMUlsUSpcc3V/zUT36D29tbfvSjH7N4ECGKNaOlOKzmZEW1IWvid2FhIdcBZURroSYlBhVaXlg9qbRnzxKUI28YRclSKNPBwRO3zWLvmXNCBgt8j4ejJZ6hCuVAhf1Vk0u0idMJ5kLGkqSKNrpLzplRNpyWwoIVMUaJ51z8vQSbvGsBn86lhVOqRsESfz5JsN1tOfnwtZDGrIvrvlcLpG1MtfeNaSUlpytQ3f7bhFX8vnkYY/fcK6OCUhb48MNPDeWswmmaXdjIUHfR4rr5QpaBMSUWUbQp0ZkdyOHE1cUUxHyG9WiYOU8qSLVBU4j3rwQ3vBQyVkHCY1uScH2zY7PZcnt75/euNy5DxYZnmY05nSbUky5SgTr5O7vZdLuy3e4oqpxPrlC0ugc5Z2uyLAu1zFCjiT5ZxSAlxjxachr3twFV7kPE1q7G9FS3o9YL5xpYHnSLDAZ4qfl0A4iK27DQt/dZCP57x8OBw/FsKLfHb4t68+xua71YTQLSnj3urxsZ8zEtLusuI6riQTdSsfOZPFkmSfNl6hlGiKGoJyLRu7Wuooqvh1231OJDdVu93e04n8/ea1YvqifV/a/6czvU0eylW7DIo9zman99/8qSXgvgnYZUFS0G9IisAJO/4OuL02nSgCQYx8w3f/ov8+L5Cz768OOmK0oqqBQWrahs+OBB+Y/+yR+wlCMPs9ifl9ocju/s5x50HUwE0oFa0BPlYRSXknZH1zJJbZmVcSsBp41Y01E0rjofyqkH4Lzezz0HjXOKKjnQ6kBuAtVQDKERXQVJWEDgEWBdvUcYo+5MtX2e/XcE9DBsBp689ZSf/pmf4ZOPPuFH7/+Y+bSYA+7xPnFB7KxmM26+VubcI6lYLLgxInz4MtQ/yCQOtQULtVSjutRKzclQYwpSEiKzZZBL5TyfmOYzS5lZytx44x0CDNqUoyUaTSOQkklVLfNsPMQhGwdtPntDZr98hoiAhQSetkgEWcrV1Y6UB46nI8syM6RMHjck6MN0UDbDht3uiv1iyaiIlSTzZsdPffOvoMvCD773R5Q5OPIRROpFgDakzNVux3maHOUIilR4AJcKLVhypdXTIvu7JbTppaPsqqEMEmGzV4UiQCbQNFy6cHLUO4LG4CvaHWnl+RXHLxztmku4VtLIyUaoz/PsqEzv2WhGql3jVXBf14QBT9Lj8z3Y6yhROBCvcPiHRik0p+QIiztL519XB5jspxakLoZCVuO3B1qV88D5PBPIYjz9vCw+sMZ+p1SrTSXCeFr5tJag3sXfq9zd35uiSc4+lM2C3+TocRv7bVFTQ4CiMdaqF6ACm83ImAcOh4NRB4cu7xYNn1q7SlKcXv8j2+9uRhoNjos9trQ1i++rJAv+aiEla/BdSmGe1YNaR1XV9rU12/n5QaxCmLNNyo2EbvFp2Y5r2sTCMoXCJJvtBknJlR0cQBE8KViXofs/aycYhipoOKafb2u5rIbeZbdfD1EBSBm8QRA1Wt3gDaQ2rRdPVOP8GURSSuE8nVvAEsGIqNsft6tJ8kUiHIit3YPKG0+e8ujxG/zoxz9mmh3Bq2b/etLjcqReBSC5fGX1RJSKZAdbqqKOpFtg6NKHSyWlEckKaWEolY1mk5XEArugC3TVJZpPDWJK7In42Y6zH7apyS2L0eFS2rgGtt/5ZAn8IAOFpSUtpUbQkpoVC+pNSh2IQax6GJQS+3YBv9do7RKDRAWwesBptIUeA3ivAdUR707gsvOkTSElzk3fR1r8ISJc3zzizTfe5HA4sSznFqwpTitPviYlZkY4DYP+mWa0hDxYlWGa54ZUdCpc9Z6ZDburHXe3tyy1T00VL/Gor2nw7H2ZaZW/ZMpmuqLsQlTVnc4qHhAvFUkWiGdvvgWznyZ0sbS4S/DkWuH21S3neXGf0ZHsWvH7HzN5Unu/UPmJWKVdbqGtVdjNlO3zYu9snoFx46OvI975oinY47J1fNioOcLqz+N5o7dmuGByWGBdG3skPqup3oAj+E73TqnFq+3WOLtjjbLPy0IfjEd7jiSJKgbAGr9+HSv/2V9fOIg3xM9e+NNPP+VwOFhTZSkmaSg2scpM15a9Zv7g5YEhLSwyImIKKcV3zxCkS5kiu+RmAFMSJGUXxbEMxUkWzcA3w+FGvwQ9Y/UVzU/uQu3weicxqywVkXZxLwMb7UGuGzwlHBC4MDYizp30xR9yto5j4eLzpDkjvxThsFj/OjJQZbvb8i/89V/if/I/+5/y//i7/zH/wf/h/wjJEfjGn+rdSR2NpmXbrLLFuKApCxJovF9M1GkN4hkmMaV1oZTZL6+X8NSTN7Egfp6LN/9ZqVcVv3zWBLUZR1K20vSy+ORUNxihMasKKQ/kvEHr5IlFz6CtemYUJ8GacAj0EmnKHWiU3uBLX36H9770LvuHB3704UccDiejBpXK/f0D8zRhVAux8rO2/NrLrrg2rxoS4UhAraYhfH19zeSau1H9MEWOqRnxpUQwlp137g7YA9XQie6X2pOdOGOJRjWqWsmuuBPGuFeYwllz8Vm9aToCwF4d6XzEjhjE2OyrqytSSpxOJ6IRT/ycaurJpz1ktdK0f7814ntQWiNpdlqbdhe4DrCjoma6wUAaLNhZTobEiVMKyF0JR5VUZwxt31I8uO80uVXQgucBzTmbwpHxtsX7KbQ3SkeGS3/XcymWcOTMGEltsXAkzn5K0qhPq49oCRka6Ziy1IUYLNYpZ54opi5JZz0vfXBT2Iv4GseRpSxtYNKiXRbQVxpqpebuYFq/D+pVKvU7mMmkNpNhjZy1JNyMF7VqV8Wqq7Wy423/Smabw61KXxBaaWBld4dsg/568plaMBi219A2syHGA++SjfNc+PCjTzifT9Rq65nTQE3KMAjXVzuOpwNlLtTFkqGm0BqNfoG+1fagF5VKC3StEhaydHY+uy26mDrrlCqpPS2HoAj6exCKQL3KYrKtyarE7dxaoNx7DTJzcTrgUBlr4Qp4NGzR8Zq7aeLEbL7Pz1oEPxFQr7AzqzZoNTUYrMHbhhtXAnyRZP48ObfcZAkLdV4Yt6PPy/CUaJWU+Q3D2ugENLUEWqUHUtRVYyfaKAiRskaA3W1b7FUPZPu9tRcLJLqqekWfdvfaxMyYYeKZWsymuX11x/FwYj7Pbdp6jbNJCFBEoh7URPN/TUazqldbrJK1zEt433aPw/+f54nzbHr3TZoWRST3/44702LflXxjSszLbI3K3scYHHjx5Ni0wcLHhi3vSPDg/YhBMQNcHcjWbqneBL8CoMTv5DSZLcpikpYWQ0TPkMd9nviENYzgec2D91/YeqvNjQnbEX4ubzZN9SnOgwlj6Gtr9afEW6l/T621UXEUbPaCv3cMmKSJBPSqGSEaoAFGtOVqFFVd/V6tHbyKd4xJy6HGFs/8Rb6+OJ1GrcRTysxnn33mXPaBUBNQd7CDJtJSIQtzEhZNpCLGV0s9d15nR2veaAwEskxM2t+TFHSD4F2KHbhQ07BdboskGJJtx9BWdi1raEV6Z76r0Wte/1oH3xbg+jNJ9g3zTC+79dfSdnBxXriANXv47weCW/+UDVpvnKgFSvMy8+knn/Ebv/4bfPDBB+0dgusc7iCoTsMwuPMd/DnO9jdWF0OlBxFr59mbfm06Z/ZmmVIq5/MZ8OFZYqhkrYYwzvPMshSKa6MaF35tRO3f82JyaZgvuMzE4+/MhWU+0ib8rozV5xI+f62cstFfqilALCxhFpjOE1fX17zzzjuc55kf//hjryxEQJDa+VOF+Xzmj7/zHaPyzAvDyhkkb3CpipUeh8zu6obT7a25IVdYurnZsT8cKXXxxuTs+yTUEgmJB8VrfkNUjVRb0hgUo/bOHnjbXSxWFoym8hZwXBqSOMuRGKwdeNyv5sEjFCrFEvXVmczJpLbQjmKqWPl0kzfkWpGizCgL2ug9ItLUo8KJm7O73NMACez3bCATKKkqg/Nu5qLUNNo4dCpjgke7LUsVDmdDrApmCvqgo5UO/zqqdgNrmt54sq7tnRUaPaVZ80jwloWkLqenME3Om8YoFhKBYFUaHO1Bsv3S1HLW1Y+lLBhq5cFfXW9ib4av89yeJ/CMq6srTuczZTpZAvDaXQkAYj2xuldfurPzpyQatC1w9WA/Oy2pmF7+sizNrlzspQcwIjCMo//d0mhGcfbEF/31xHI9q0L8HrRz6AlCcuTKfj/OvSBkpsknhKtHpJIo6hSpasjiOBilafYCTwrPoj2I6ffIyYjJ5zJoZb0zoQltYErqalw5c/tw5MXtvvmg+EatRuuy82iN2tnvNapo8bPkUUEKe+mAgqqyGTNJQ7vfzpguhW1SvvHWV/jZn/nnma8f8Ts//AEff/wj5sM9oYzVE2ncf1hAE0mWCNGX3/fU93gYBt798tssdeb5szsDRZaZISub7Yb33vsS+/t79xkepEcflJ9/pevi5yytRUNr9YrrpW1ok6+1g20XFWwNvncP0HpA12OOsHPBs2Zl+zs6GhBW58CfThPn09TgFzuDdje0VktSk3glIuIcWmCrhL/t2W0oHOHvFGbG/GdtNBPEkwXt8dI6bvKXpFGCvAokErvr10AwVNkDyKqmbnZzc4Vk4e7+wUAQEVChlJkIQMVvl12/5Ex8WdkNpRRLzFLKjMPINM1Gh6vaqI7ie7lCNjxfsvuXJFHwyprTqrNIi5eKU+hi76OaT0uQPJao3Ve2ykxL0GJZtMePcV6culprIUVvmlc2AvEP9b+IV0n2HKWdn9Y80O5WvLzlLraaIfohCpXSEoO+PP+Mg/hAS1+XfrSNjYM7kFTYqCK6MAlUElltk2ZjDdrLrYLYtlAtY19la8HF82AnkKA4OA3RvuD2YoZPe/uWYlWAuPCgPuo4EVqnrycU6+czJ7pC1oJXFhc+Zc/QzXmV0tHydgH84ofxjPe90NH2/U6OUi/Twne+84e8/7/7961JyyBOAonC91rELm8MjYn1WZZzyzjbdLVoEF29cwQJIcFWfCJkSpllAeGMltkGc4lYoOSyiGUx7ttSljYMQ7E9ieC6TNMqs6btXZR3LZAqHhN1FYnIntd7+zrynHO2hsNpYp6WCwPx/PkzvvXbBzabTZMaDDQAz/6jJG2UqEpZztRqkw2TX2j7uTRHI1hT9ouXL1sJLrrxT8cTodFvU3+zGUddQNy4+ufE16V86OoXf0qfRrsbbT0MuRuG0Z/FkIJeYgQVZUiJq93OmnGPJ0MB59mM+ZBXgb9NJ7XANPWftbpzQg8EsySePnrEJmVShWcvXlG1mGoVtNLlBXqEtBkL6wl8rN4r9kg8I48ESsTGb4kHMl//+k+wP5x4/8NnFIXdduel5pDmdNRSbH/MmAfFDLcrnlDV9Z2g2RZNGEXCp/taZSYQWVzxyJCilCAPVvo9n2d/P9+PZOEiiDfKOyIpNDAsnFyoYhHghtr8jbjP282Gxaci7w97lzf1dFHsLi9eZQnka/1un0+Oe7ndOPLJny+15CYaZsWpA1RlcHpAOB2jjdlnT/PcAiKrdmjLPNbB0PqZ+n1SNsPY7nOTKVVfo6rEnAT1SxVN01rNpoTsLwiSjN9eSmU3DszMcfk8qCug6wAyAsLUAkc8jIvehUePHjFNEw8Pew+QY0p45bwUznNX+vKCvD0j2jnXqijW6F2LVVKMSmKgEWL85JwTTx4/4eF+zzRNNkHbpRyz5KZ6kTSjm0d8/Rf/On/j3/zX+fo/+S/5T/9v/xc++uM/9CbFdcJmr7nd7UiSOHszuDXJBvLutjF1/3hzfcXxZAlRUCwkwW634xtf/zoff/gRdw9Hr86qN6rHHnNhx2xyuFU4y+rsNL+o6hSEFVUVWtXC7GRuFZ/XUcy1zWlBZAAfLifYT+/nEwRVSDI0GyiCN6hbEF/qQnYAIAK2oIzEh+ZAwf1MZa+AasQM/rNo/s6TDdzl155sx3PFs178239C9UZ5S268d8g/tio+M8Y+owJaClW8n8PNcG023++rOG8bIXj1gXCr96SVouQcVdzM6bC3YH4FpESKU1ulr0tNr9/FKCYeXzrw197d1yL7YNCwGeu1udx73z463dMLS/1eR2KV7BmHAI7lUkEn5dzU3cTpliLSqNPGJukxqlUE2gMBqVekV1Tdy6rnF//64sOe/AEMobLMesgDOQ1M8+zGObFoYfBsv4hY57gomqoNyzEL0YKD1413C05b9qktMIzsMcqMqt3xRcbbk4HEmGCThOPxjKbOTyfZwbNhD7UlIuvysToM0Q+Etsx9ENNR9/4I5zz37ssYGBWfG3zRlBJpjGy5dkcZeXugAHE5/A5N55lpuvPHSIzj1h3V4k+mXq5SDodD5xhqcceS2Iwjm41JGQZdKXkgE4d/t9uBqiMoalrcgGohaWZkoNSZijU8FkcgAn2vPqG1IS5+62pTr1hfruqcXB+oVONNfDP5vKGK31sHs3Fuwqn1z7dzqrXy8LAnpYM5r46RGJqXo1OtdiOtFqRIqJeIo+i1eDNfL9EZZUrac6QkSK2MQ4IknCb/Wckcsf2w4G77zyXilP6+ZjyUKFkMeegBlgd0yRPEMELZO4Jbk16sn3+yqnK1u2KaJk7HkztAczDJOYTFJ9a2QNXXvNY+y6GhIE4BqEtlvz9Q8sAmD+Yoiu3v4nJ74ZiCFBefGcNPwoGFnTGjppgqTWb2y6CpklGn15iyz/MXL01KMGWQzM3NDcfTgWU5tZJ9SjZRdV6KyUziDbnay6zqayQhn9jQNCXQn9inIaXWyGhJsVGpBOHm6hrJicPxaBW5IqRsCirSb3s7h8FXDg8blQo/8X5+UmvQyo7Ib7YblsWC5CXUaPxZka6JXoLniXgPz+dBlDgvql5xUelBuyeGOQ8eDGhTe7Lv75zUKNX70cKUr0zmMc6sBZ1BHel2v9teTy6wwD0PpiZUS2nAxWYcURFOp5P/XnW1jf5OAXYYwJOQYYeWwrycqfORZV4gb71QUklE8543Qa+oGrGW4Z/iXRevLnTlktjL5MCRyTCqRlC2QursEVfJeIAKHoyl5DSpGa02h+A0zUabSWL/9ndd6uJ7PlDThpcznMYNj7/6Lu/+5FfYXG/IA2jNryXXSi3VBq5JMvqpRZS0/hL3SYE8L/PED7//Azzesb/rSerpdOLbv/9tzqczITaQ82XgaYF/drqG2UCrrvf1U9ZJ258VlLvviv/W/ufrM7X2I812ZW8AXfml5n20/36SbH1+DiZI2L2VbTSklua3a/EzJ37XqyvIeE9PWUxeOWGylhbDhQ+JJLnTt0w2WJt9iq81+Ce+Dy3+cduhFx4PnJPqQgSVRZXj+cxSC5VkfcqqDBLV7a6qVD0R0NLQj/4cAGpSodvtlvPpZPNNVqDP2t7g62ggmba/l1IiD2ZnJCoP1RLjuYRqmy1aBPiq2gDKNUIfVeA4JxEThL9TVU8MVmdJjKFRa/XZENoUfMLGDeOAqDQKT7CZo4pYSmn0GxE+J6OJdnuZ8uB2w2KH6DFdV5L+oq8vTqepEaR61zA+IdQbKK3BaAGEaTCkoohxWhc9U1lIbEiDyXi1Q7ra2Lg8SaRJLzVJJPAAwviPTR4wvhdtlzia0a6ud7z95DEfffwpx6m0gQhSjc+42Fxwxs1oJZ/miNzGRhWg9owzntPUaCwIVkfooEK9HEseaxf8Pit90hApu5h98ii+uqwOvoZhJTEMmZQyZenNXLEGKcGynJqizjoRqV7+tgCw9o585+ipKvN5Wjlh044XKd4co1xtNiylcj5PVHHlmuLTzVRp0zvtiVhqaT9/hTN7cpPan9lqhDZ87PXqojUnFxUTv1xE6auX9sUJVBVH0YvrXPscIcniCHg3rCJ9v8SD55z81yhF7Z0M8d9aGX6y6FySMIw2CGmazgxJeXQ98hN/6T1e3d/z4x/fMc32PpmxvZudJdPQXhsYnG8tHjQjFlDm5NN1dQFnUUZgHmdnbnQmVs7XyvTG44Pb21uTg21QgnNUiyV9gTxAv59h7NKqjyS50/WjzvE0M9XJ1jFkxAKVaA21JqUmavZh8ubENe4g4nK26glTHknjDbubR0znI/V4T9ITLIZuL1X47NW92ZliSdn+4Y5ptgEuqjZ3IlMYEshoE2Jr9NY0x23XV70UjRiaEomUYAyqGg69urSdO9cqfq7EOdhiFBLL3gPdMvTdKNwW6MW51mrTrTebDTlZA2ipxZpH/b/NGVrFZymF47GylKU7VLEkQhxxX5alDUeJILNNEW52w1FZ52Y7mtBsUW5UwKA4Jm4eXaOqHPcHinaAQnXV2O9735K1QMnogRfqDdOrZ+p+IDDFSARCslXaXW1JULMp2pp7LUauHiUndtc3/Mwv/A1U4Y9++9dYjjMavGcHlzYJilqwnPIlLz4GEoYNG/PIkDOHwwGI/gntAYBtsqscOTc2oEStPQhsCGAQsdyu+bkILrFi9LKHh737pl56Nzvk9CXJZBmZjyf+yT/6Vb7/4fv86OMP+NEPfmhBkNK+P8r5qDJNc0ORW1lf18GatkA2YY3SqBEFlwrS/Jvy6vae3Ljw/V7nPHSgrJrWfnI7G7SIGsuk6g2dtkedU7zi+PizB8UGt93ReNnXaAWMRVCv9Cb8SKja/wJwMe56m/Ug9GA+2T7WEsBm0OAsyS3F7KCI2XLFpXdxacESft79ktr+t0SkhiKZheIpCUHiWoNYLY7S+P0AIGsTMtBYI3oSEjxuBaM+xr0jGe9cxZuRWxTS1y6ZLwnwMhSwTGbTKp/TNK3ogakDF6t4JaeMYEP9AoTQOBNiyY74323P3tB8mizxmsUR9iO4+mlIq32P6EM8Seu05gB+ew9RrwRrA3TsvbvrjP3wjWzHcg3E2PvkbInfZrthu91yd//AMpeWTFpvWwdT1vTGv+jrnyKI7wasyw75+HM3UMk1Kmq2JhfR7LJVKwPlVAS7xKspjqtLZ3vTkY3iJYcURsRRzVpikS8zVPUE4DyduH0oLHVx32TWNPKbqqYhu8yWfNA+J118Vnf24WRCu9aG6zx59JTHTx7z7OOPWOrcsuL4skzdN6s1mVxeyPh107hHutNQR3ASbEaT6Zx9TQwF85+TV8kQZtCsu1qYa2kJRKCeYcBrNefcGkcigYi/U61b2oJECxwctzJk2HXMm8QhZtRaM2RAGFqaLnBOua2HOTHP8sNYVKAENhL70IP6lFt9auX81wfWqCyG9PXfUz9bzRvZ4TFUSrw8W1dJgKMW6ioU6ww+ULlxHCla7S6w8PTpI37+5/4Kf/zd7/Hpx3fMZ6VSnJfYh7Con/ccg2hKb/5rZ9qyLVRLC2q6Yb4sH0bQGPzWvhS6+juLV2KiWYq2pv3sRNKwaqJ0M7x4ghQxvKkZ+WAxd4SDJFJ2J5wzTZ417kIEiatEN77CgNnPTaS84ys/9Vf4m//Kf5Pv/uEf8du/+g9gKogpPVv6F+oJZLQUH0dfTD5QMqUu7DaDBQmzDZFTkbaefiI80E3uh7VR3yQQLRFHZBZrUJYIzlOzaQrsj0e7e4glZK5UZMGBn3X/XDRK7ZY4bjcDm80GoXI6WeKxGUeKN07Pk6kF5bGb7uQKMzllrm9uWOaZ+TQ1W6KtQbCflwBEWsXBgyBwDf9I2rR6ZcLO5Ha75Rd/8Rc5n89867d+u9F87KKv75+29ZBVE5hVBGgN3dXVmwL5F08e11SzouqItv1agNM02d5HjpRcNrEh2Q4qICQt7K4f8bf+G/8aqonv/9EfkJMynfacilUxtxt478vvcDrPfPr8tgWB240pT1Wn4eSoQKzO7lKWRtFCowldUCo50aQ74ywJ6jKw4jQBWQWpFq6Iq6zUuVpSuwpQcB+UU29UFDW7parUVJjlwMc//EM+fP87HE5H5uORpViAaYFu8jWiN1763U8+Nbq4TGPYzghQk4idyaU4DGaUCAVPgg3tN11wO3vjMPLOO+/w8LDn9vYVxSux4h/bOMzSKVfryoxS28Tpbv8gVH5sXTqaG8nX58QzQm3O9wTo6k8aqmCpsQGIhB6/7n7/hzwC4jM8JDIjrPFUmCkkFQYKpMKXHwt/7acf8c2vP2K3HXl1e+Zbf3zLdz84cz8JVaPvwQNeT3Q0ehgiwVpds0hG2tsllxTWyna34dHNDQ8PD0zT4ucyzl7tr+9+zIpniRSqby0O+nwgGWo4ImKyjykxOjVynmcOh73bGAMfJQCoFhkI29Gan0+nI7VIS0IUa0Lf7bacDtUlVImGr9cS/R7Axz5HkmjNvbLaO2l0qxj8JMk7IyXZ54tvciyyCCGkYnGMT1afJ1K2icF6EVzQ7mPExGEfSlnQogzX1zx69Ijj8ewzXcL32lpfMlQufeOf9fVPITFpJaPaMkcru1rgoHZ4JftF9sbSpZDFZIsKyQ1WdVmunr0HfyucJRIlRzPCQ0rU1bNcINArvubleRPOk2nFV8X0m1GSDKZ7HhGf4N3W6yaYdTOhZ/ni8lyehSdN7oCGliWGE5LXAkT7INpFb0/ov74omwQCtZa8jBunajQIEX/enmEGWhgJR19TH54lHois0VVMOtQi5spmu2EzjByq6aOqmrY1osxaeXn7YJSFbO9uuhaBoGNcstb933mghm6zKuXTEzqxzw/crS9PpapYYJgSUrsDs3fsKEMESIYWB9ex1dVbsBKBSxiu5IiDqrC0C0hzWO2sRwDmg53WewdwPJ38/AlK5uWrPb/5W9/m1d0dRQUyxDAfyxGy6TX7WSmLy4TpuuE5znegQ7HX5kTWh92MmJ0jm1LYk854f3W1h2EYrN/Bv8/KloGGCeMwGn+/rvsSpK1bQRstJMUwtbl6Y7tYotYSK3d8reHWg143ToYg9SbBQOdaBUztXt48esJ/7V/6W9QCv/2P/wub7Aqo940YVSMCJrxMLmjtzWtaK9vtwDQt5jC9kSoGn0FlHAYLnopJVmY3puIIbdLKmEwffCFZolq9T4hiVZ51slnVZW1rG4QjsuKY1x40RVPz6XjidDq3itkyLw3t62iSfcYwDk1eMaVEWRbOp/PKCXtw6wFlOPweDsQzedMhZu9w2xCOterK6dXCJx9/7M2jdsdqJP2r8xuBVE4JdeSuobtE9chvelNs6aXy+MOq/oMFcBUgcnJ0WiGLN96pP283mf4JDHlkOR/5e//pf0KpcNzfc5PVUI9qE0mrFh5OJ+bZONwpKY8fP+Ynv/GTvP/BB7x6+ZLNOLDbbpmmE/O8MM9z+zkxdt1skT1IA2TaonfKURIHvcT4tdWTct8VG1ffciv1O273OSgsQSOIhlsSLMAsC0kL0/0RtNqAwJQ98FC0LsRUXw9Pmk1V+/GtAb6JHazszVwW6rE47Si39dZqAXh2jny/e0qRwsP9g60Z0VOgbb9LKQwu06qhkOaJZPXG445QygVt6rKitgrMvY+u3x1H9QOYCKBDVjFFVST1WQJxH5DVWjhlD4T7+3svDoj37dhHDmkkodxsZ/77/8q7/NJ/5W3+8Pv3/OH3b4GRL79zzb/xt77E/+Bmw//zlz/in3x7TyETw/VY0YFSTu0sxLv2+939RoB3ADdXN3zlva/y/vsfMJ0f+lrRk/cWJwagUcNXRzW+0wcDdGnNtv7KTRbXba74xqk/cPJYpt9L+96oENbYM+29QFoMrOiesFcStPqdj88S+/MYELeUaDxP3Y9UF9to1k8881d2tfImmb3AA8V6AvCZDKKtdyJOWAfHzDet19LoZVHhogfjXnlVgf1hz7TMbXJ4+O7OnOBza/UXfYl+Qcz+m3/5L6MuP1RUSXVwpQprCEoJaz6tNAm8shS7fDm5s0nNiUHIU5kD9HSrZYDZufQpu46zxl2K8owtZCCwTYfW/1twnWmM55QsvqDWDCSrB2bfiOoDAHDeb7KfAzaQh9g8wYyg2ueVUpGUScmy8mWeSMmeP9RZOuKIvZ/gtdXXkhHfMLVojJBNRJyy4wF5GCW0OnIYNzG1JCjK37X4ABfnsFZVhnHsCGt0ymtFtbDd7hiHgZMHpYEbVYxHNiTrBZi9hF+dlhKXSxLsrq8ZxpHj8ch0Xin0SEdIwH900XYJWvDt4UUWq14sXixnsWULJ9MCw2ZoevBQ1SgN7eepL3npahAWCPn7Vb+BiFOf/PMSKDXypRbwrBGi+Jmxh0krOVVkSI4gZpbFjWv1Z3UUSi9QJXfUgu2lR7+vn+kYGZ+zoWelGF/Q4kHxpEw8CSseDJsRy8kGiJRlsQQrnt/PwDgkrq6v2B9PTN6QF3MQ1Nd68YQwlFJySq15UasyjgObccP5fHJZwdg09cAhkDM/tivFKH8FD9qUqomUtzx6+h4/8Y1v8uL5p3zy8Q+Qskd81oE6NU6kstlkhkE4HSdUs58BGKTwNFWebq749DRzj5BLZqiwDFCTndEhWaCesIrUshQqwu76hrnMaJ346rs33Nzc8Ec/esXhsLBxZ1cyBB8jFWn3J3kZ9fV7bsHNZQm4V/38vmsUcm1tQjKtgjUie8VCUZNlXEpDNGOyYegN17og9H6jEsgWltyl7KgTiaVYgjQMI2hB62zVB1XGcSTn0Rxmo+tosynrsjZ+x1SDk+o/UWMdzBknf94scQB8icIeWImRoRSKWm8V3o+k2YavpWLDYKzQ5sCPB+jjOHJzfcVhhkWVOh+hRvk6Go6FLO5nPGi5ub7mK1/5Cp98/BGH/Z7NduTq+or7+z3L5E4Y1yAX8f4vwabS2l5kVz6KwEuwCmESoApp3Nj6hKqXuAywn4k2P6KtCK1SW7Tr66ckjJJbc7Otd4AkVmHa7XaMmw139/doXUiyCmy070cMHVOqAwOrJsZmh1aIrXSQrQXhakb39WdfA1dhZrOIrZvb0bmYjnYkDxo/JxnSrR5wxnpG9pZzADZGAytu14POFRz/kOVNjtaGFnjzY9k485Fkw7rx2nzAdmsiAmUpNoV8RQ2O8/34auF/9G9/gxe3R/7uLz/n9kGAgXFwad/zwk++B//uf+8b/MPfesZ/9o9fUckNdAuVnuz3vELz+Wtb0ZFb+/NaDMzZ7XbM82x9W6xiBemJTHj5puIS2/XaXUzJqpyRXS2LDT4bRwONhjwyT/PqW5TqwEREa6T+edH7gUCrTjnSEQh6oOrmEvo+WqUoe3DfHjZ+ygXNqFVyVD3hEIr3sZAn3kvCv/rln+J3PvuI75z3FEaomaRq8WHuk1QDLGmIv8az+5L5QM9QqYnvaTk8AWx5TKd2Jnsc1m1ofP3wh9/nL/r6wki8laCNRpAUcur8zBSlNK2t8UiDJxeZnmfBYbxbE94SzaQhN2WZdtEIpsxg1NV/G9VbPciJJWJ1kSxwKNVQsdxW2RyjqcS4EkkNx2cyXw2xSj37taTCqgelmLxbGnJHK1aDR8xh2hnZjKYUs5TJpcOkUYgCqUMi0MfXJ3l5szqS4JB+HGbFtdQTc5m9ESICATMgUS6LrN241yNJzLhtNhvO08QyldYspyqrCx97XkjJaAh2VzIpZ9SHFbRs00Jd58RFkELP/NHVUbfDbi3yIJpbIFe1+hwBR/Fr9eczOoJ1DqoH2tl5hHYxYqhC/K+tsaoHeaklYiqGdDW0HppkZ7JvtM+IrLy7kva5rwfyca5vHj9Gy5nD6WxBZiwG6/Vw5Mz37RKZNrRD/Tna4kegQFQUQsECqMWn3lq1zM60D5TwzCeCAxtsJe08RQCWMFrB/f2Db4dYMK22L2B7MkSlRbtiFRrVI9oUTxRD5Pzn2nh0Syxzoqm8tKEusQ5+nqzxTSn1zP72U77zred2f5ksSKI6ZzIzbjLjOPD48RWKcjqeHUgQoLCRhX/+3af87Fe/wd//7vf44/0BLRuQTE0Z8elRxZsjr3cb3nr6lGefPWeeF47ns2lYp0RKmc2wtamXOSNpgVq5ub7h+uljbp/fMvtQn6iibLabpj8cpd+gBYRtjS/tRsccWe0VtzBtye8KxekKqmyvtowycH97dxFM99sQe9qDjB4E5NYnIqkieYdsnvCl977G4fY5h9vPGIbEaTlzLgt5qc1BRqm5ne+V81pTEztaKivb5Al0JLOsHF7YLrx6h6+LRrUzGQaspnXdfFNYnABOtLJMEw9q1cWqlc1mRIFpKdjk40Az7Sfi73E4Hvn+979HUDWWsvDw8MBSKiVZyJu8Kc8kfR1FFYM+rK8nNzvTBsERWttKXWJYTpfqa5J0AWp5kGtgRNwR2lky29GHRQlYwJUiuBEqxYb2LCFvKyumiDrn32wIyW2umka8DVCyRH99FotaUh5nbLvZMY6jSdMWm8fSEoO6os7ilNhGXUmNk62E/LRVCToCHImG20T3t6Cog0HjsEMSzscubb3DtvYhVzHQ0G2rrM5e6pWU+HMRvTjXtVbOZ9NgTzkxhGJV3ANVBqn8O//WV/nk2YH/83/+jFK35JzJCEMy369Z+JOP4X/zH36ff+9/+JO8uFv4tW8f/Z0tCN1sNgzDwOl4vLjJ+LMqFquUZbHPd7pErZXj8WhN6in1nr8UCHyXoX0djOqVi5BgtHsUPi9ETYwbX0lpQyQJDRJe8eazpFWvyiruWVM+o5oRv6WuOrfdMgwD5/PZgm+1REt96FXzybXvUft3iAHEGjkYnJ3lATZ1+7PjA8di+6lUkMHptaW9z+tYtyWYNKohRIwsjXaLQtGyql50gQg7WhabhZ9d2097j8uf+Wd9fXGJSV/UjIAuiJ5tDdPAXCzwbhrontF1bpq9RHQQW6DhCI4tUVOoUF+gQBJqAZJ3IgccT1BjLPiMrKstsCN9tcalE0ieYHjJ27hs9lldUlKc420GtHqXTes8X3rZWHBkWOMgDzZJL3XqgfGB7fOKmAE0TmhyRKaX3VswCCtj4AYyDoGs/3S96bJOmu1nN6fgsnbZaRliHLC0ziBfc77hHFr53m3dUhZvpOvPrKuss9TK/nDoziWqEXRJNv8hhl54Mqc4/UekG9q6arKMZtm6mGxozjYhE0OLSlPRoWfH0h15vLeIBT/VUcr1eS1ltiZVSY2n5hNwyMNAlsRSZjs3K+RjzWHLKfHuO+9S5xM/+vGHjb+b3MCJRhAjHii7IlJ7vr4nwdNc222Bi0sO5mSphUfXOyrC/nC4qCZcsho/j/z2M2eBRalRXcqr4CymLXiiujqTza36u87TxHy2zRiGoTVSWvC1kkUl0BL/Y7SfYS0WlPkd1UVJaevN5DMqNmwg50xOwjgmNpvMvEycz2dD3wezAcs8MwJPdld85e23uf7hD0gUZllYqBSx8r9UWNSa705T4dnLW85LRWWwSkqyZPPjT2/5+OM7prq1OyGFYZN5+sabPH76lP2rI3VIFKc8bbdbrnY77u/vG72iRlK2btLzve20QKO+DT69UkTaoJNI8BqwIXA6nShpuAzuBKe8lRUvW2hTMx002e2uOB6O1GKN7ZIH3vzS1/nv/tt/h9/99V/jt3/tP2eeXhnvehjRUtpgvbXdhW4/1l9r23Lxd6vx7eOe1uryjNDsjjgyIe0gVwNUgFQFrXYmi5i5aXQ9VachGKAxzROjCNtBePONJxwOR8rD0TjdIrQqqT8XmEToPJ8RxBUmbDaDEvGkuvSx+T/J2SdCOMIGzU4GLcIcvffreNNfqdWHEhpdM+7u7mpHqSZVGbQDe7culBAVMUFasi39Q/oeKMzTzBz0VzUak5lo8YTDEvRWeSOqKKa4ol5JDA6/4uBHAA/Jp+dC65XRUCdC2noYYGKV9u1my3a7Y7vdcjgc2B8P/l4Z1dJBnBZw+/vEf/i/kve+hGJSSx4czX39jKYk5BjSFWcg/LqDRUNDcru4heVUXXkk3t1X0Xxjqvz0T2z48ttb/rd/71OUgc0wcL3bcb0ZGbIlGvvpxHmq3B6E/9N/9gH/zr/1DX77u9/jcM6IzrCaBtz3fwUIidmHuFW7zZYhZQ7l0OhZiFdS3T73uFBbshprEnFUl/xd3d2+9J44dp86LzMLsyevYWfUKSt2Llvlz2kteYjJ2r2aGD1iqvF89DiK6N8wwCEofCJesSDwfPue8C1hTiM/sDXwSkSB21r4R599QCWzGXdkMsXjFaPjX8p6hn0O9ZnNZgNwMYk6BkIGPSvWI5Ip2romfGqiA26p9X0EqP1Fvr64xKSI83iVIQnbMbHZDpxnZTnU/lGB2q0J+h6sh6KLjVCP1Q6UJTZcCQJp5+M5olFjpLmjzsXR4GiQ8YjiEh1NRECu3lBmjV6VmJQXur4dOYrSL+ShN1AiMOSRUuZVQ4IZ5zzkplyBmOE7T6eOennZrg9n6MZins3hd5qQHb7KahMj8RSh6kKdWemm9mA6Jsx1zVQ3yP5CyzyzTLOXClNv3lsZuktkcNUMl2IEc/87gfbGeiVHylAzoD1B6rJfgA84UCPdu1OINQBHRDRDGv3PFlIpjCTGPHI23haDn4sYDBRatuKJTatqeMk0UKMY1hDSjdM8oc4wEj9MqhZI5QTbYaBquUAUXv/3six8/NFHaPWpb9605ofS7kPwWlNqliX4wVW1lVDtKvVycSRf7WKrhYAJGF27f5lLSyY8SiOJtSpV3ICmPhEurow5PEElO4dbm/E331mbwdxsNojA+Xy+MDLrBC3u4DzP1uoeUnKeEOPPknJeJZv9rCkgWoHC1XZku73m/u7o9BJHAwnQQFFdeOONN3n85DHvv/8B83T0CcMDwzAwFeU3P3jGH33063w0nTnnK4oYfUN8NLytCyzFz+pSUUxGVpIg3mR2no3mQ8oMSUzNBHj+/CW3L+9sZkI0vosZ93meLZhQP19tzeJt+5c0YKCfqyG5s/NAJmTfDDE0W1q0WgUuC9txa7z6WM/qe3DR99Md4Pl0cuqdocaFyvGw5/d/73f48KMfM5W5KRIV/3fY7NcTwvjcAGJSSrz55pscDodG01v7hUaj8zNpVDFLGlOCq+0Vy1SZS0FyoiwWFCQ//+qBppWy4xns2SKFbhhwrTx59AZPHz8BFZZFOZxM7SmGyNhk0E5tAQNm8jDa2a0KFJJ4Ukq31aJxDwQvM7rPs0DL2BnJ7fTAMG64efyIUiqHh3vm89nui1MPnz59wul0Yrp/8KBWDY2ETrnBK4rhR6E9R7PjcY+1V15bUKyBQdseVr+XkSzYB5qfqBJu2rnlAUJ4Ung+HYHU0fXqlkO5QF3FEclEVxZ7++23kSQcTsd2bkIZJUmyvqIWkYV5WwWTCIs3HitRLfwzKCdiAfwwDKhTYnIAjqVAcdDrteQz4oOwWZtxRPCKZF2gBj0s87d/4S1++defcZhtrx/tRr78zhPeffMxQ4JXdw989vIVz/cnljLyRx8cedgv/OWvbPiDHxY0DWhVTmeb8xKqTxfv4Xsb1JRpmljCb/m5tKGc6eJuJWcZdH/Y72QAXHYeaP80oE8ghtDVYmIN0aBsj+F0ZDGALZKgSJLUz4Jg/VfjOLLf7xvNNSLt6EU8nSdOrpoH0vuJfD+0auu5Q5VhzE7driwlAGR7NvF3qlXbOSlp5G4Y2MnIWDMEUi5GSbX4Ll+sD1Vdsc9tseDMkb7OUVWPdWtVp7Sy7+oX09/F/g49ll0BPH/e1xcO4u0BhVoW0qh8/etf5W//7b/BP/gvfo3vfv8zlrJCjd3I90DSNqTU3hUdWuaBCIW0T/g0iYBOEo0zFO6jOY2eH7YMKa80fjVoMkKtYdTiByTGYWQYNhaUL+XiWUVwPuXGL6klEIt6U2AS0NycdQvuwJGcmO6npiuK9mqgVyYGPxxRbr1AsdzQhkOM94uKRXJuXC9r27fc3NxQa+3TNoOXtgquoiQWyVUPxPuha2vqj7Lbbbl59IiXL1+0MfVtgMM6QalKHhPbzYbj8dwOb6x9Q5yl8yUlCTmN7qA6+m+ZqgXPyfsaslc75vOMFJtFYEhZ5ubRDUNORgmpnZIi4o4Ar/isKFjDMBjCVvFmMiF6BGotnmwIs86m/xsJZCRVrJMe5eGw70kAgYbQLqVKXGBzlpcRXayPJz5J2/2ISx//baiHBTFTqUz3e++vsgDTlBasZCsp42J+F44tZLiESDZ872OqJ7TEtE/IDGSMi/sdXxFGNePlCVQ09sT7qnbuYn/31N4xvh4/uuGNp29zPn7EUgqlCMKwSrRM5u18nthNC7qSaqvVpACXUvmkKp+dF+Y6UkkMKIMW5lqpzu7SaLBMwm4zWvPRoh4xGFfeVJxMJteGgQ0gA2VWSjlRWazBDYvYq1a09Ape3KmoStr574lu2M+co39hJifhvffeg5T46OOPqLOji1H+dltbRElk71HwZFXEqEW+v2v97Ei4ii5uT5L9syw8vPyQX/n7/wlaF6hnu6NkslRUk1eZxPcrkvTXzpZ/HQ6HRifqAZrZrqGh051iGZXPJJlhMJ30OhcHSzbeJF7svb15UZQG/rSzGAmDQB5GxmyqKR9/8pnZF8kmb7dUqksipuYz1ufbUOplsWF2rkPDzW5HlsRxmpgWLJCLANmeipDGVDXaR87Z10v4S3/pL/Hv/S/+5/z/WfuzmNuSLL8P+62Ivc/5vjvlnJU1dVdXV5M9VXOW3aRE0RRJCyIEW6AFWQZf7BdbHgDBT34zYL8YNgQDsmQLMgwYsgCbMmRLIiS2BJmTyC6y5+rq7pqzKiunm5k37/BN55y9I2L5Ya0Vsb9b3ewsQKeQde/9hnP2jh2xhv/6r/96/+FD/t1/59/hvXfecYlY5f6dc+bdzobJqe3YpgPWUU8gxIPtaKqN5tAI3mLfxX6pHXyKagDuV8yfRr+aPau+xfpaDjqAo59O1xuTVi2wstRIe+/NCGI21VkP9Jd14eHDhyzFlaO8dyY56qoRvGnzpvxmSRtbWpHbxDw5MOSVQAanGTbJTykmNduiLyC+73FFDSrJOK9bukjsD90AZiknKoVdgh/73F3+8698RCsT+ynx4N4ZP/aZl/hTf/xneOWlF/nt3/kGv/W7b3JzVEo+sbaZb7x5yU//+B2+/tbFCJQZya5sbGYE44Gaz7MF/cUDyO05j+szX3c7aQ4/3J9t2qDhSULvt59RVRssZpG2ODAQ02V9lomOqlLO2XAGVTOyG055a0bvbOp2tUcEdPupas/xhRde4Ori0ionz51PGxSpvYp/u/Li9kH6XyEJ07yzBm0/Q2tRWlv9/m1oVTj5ntxEfJSssmTTqK0qGfNm4iN+uGqyja/Gnt1W4INaiC/9RiTxn/j6EZB4+6MJLKVweXXN++9/wPXNgaYFZbKDrbfsqDvybfAWGXTqzqWpIV/Juc+RtCc3gKU2gqcWRsl4fYnQEwc2CLQNDBB3vIqgaaZh8og9eWiWeVc3znHdNoQoDm2jtkLFGgNDGSN5ANzLj201ZNHR9JCUBDdwtF4aVnfmwT/fZtbTZMNySkx8VS/9eADf+VWbMnZs2pSE8/M9rakhcb0r+zY6kxDmaaIUH9TkDiGCiHjPbUDfWiFlYbebOdwczXE4EpLYUJLERtKrX/ftch193S2w9sTNUU4Rxv3lCcl3yPk+rRzRsiCiVGx4ViL1wMXOpTBP2Y2sV3v8pdDL3/iziS7ZUgqm9pIs0fHn31SgLda8s0u8/NILPH5yw1qtofn3q1aMQxz3DGnCnx3W6BOhtwdRY9SyJSNmjwaasjXCWxRT/DpB+gReQ/wMkQokpVUlsZmI+txr1H4GlS21RqsmZZiyQBPmeaKhLK6P//ze2+5jv3D7XguuqwUZjaDZjFJ3JKZBK2qBrqSJi4trDjc28W/Kdi7neeZ0sv6NJILWytMnFzx5cu0yqolpsj6W2hSVbGffE6oJIbUGye1ks3XLCYSGaMVUN0JBxaYQvvTCCxzWA9dLZQayVuY5oy2zSmaVlXBFEajZvXsC7UFBaK8H5cDj624vun90JzLPe+7ee+AJ14eYZ3UKhdNmepIvJrnpOU4PIrdnGnAJ0dZtkQ072qGSSG1B6kXfU93WtGbr5o2Minrvk+3x3tug9r0old/c3PQgbrtvIugY+2iguyhkhPV0oK0nJGVLnpROwcneThnCrJEMRRNt8LWDm3525x61LFxf39AU7r/wEq+98To/eOcddPG5BFr6Qe6IGrAspZ/zJEJqlddfepGzszPefu8hpazWcJuM/x3PfxwIu9KmPmQQoxQeTyeubq5Zm1WEgqZyfTiwtsppLaa+1DyAFX924P7Ek0+vBNd1IK9ukvr6mgxmiBr0NM+/DzHZOGx1zuMu+vsQyGcAZfEzLg9ZCmRHubV5sO9KY5s90NSVTqzwTTmtjpbGftpEy3E21JKELIndPLG4NHRtTrUQH3qmthdSHv1WIrHPR5AVSVb43agKjPM7zsw8R3JUO4AYVZFY6+rWfZqU8znz7Kgkmclijcx37uz4oz/1Bb7wE1/g8dNnfOvN9zjbn7GURFkrjy9XfvLH76FyddsXMmyBuIJYa63b4pwzU54oWuy+N/0qEehzazfYIvSJzBrrLj3hC0BW3ZBEpUJV2aaSUwA6ARPJALqaNusZieRDNz7fX/G8yLeHf1rA79XWzfVF8o/7jd747YG2qTRJT3R6cuL+ZwJSFu6/+MDi2GfX7FuiUmnZwDsUp/pOve8gXkEH7bQh3TSjenA+9heDYpNiWBQ9iN/6ziADjYqm2HygT/D65EG8NhQbG18V3v/wCY/+zi+zFkNmLAP3j99uPPtLdxYJQ6CTCC+++CIPXnjAw/cfclNNOjGJdQ/3EpJnWVH0s+wfQrYoNtbYABZoztPEnbPMJI3DsXBYmvMnxdAyMISnVppPf9yWhCNwKsVL4RkrVyff/M2MaPAzm1hAIM05UWG4PXCl26SY7nYbyQxUFP/ZuBLTbk+W6dW47ygR2QYKg9la48mTJ6iKTcWLwND/tJ6CgdyBItkaxMIwbQ1AXJuqclpOPH36xA1Xs7KT3Z41K05joqEBGdXWKUWA78ZUPVzUYVTtTezZmRxiYnd2zk//8T/Dl//Uf4Pf+epv8d3f/ArTek1VuClYRq920K0prfL02VPEy51x/cZhNeqNOJKlHlUHn9PoJUFBwbl3wpRmoLDb7Xj1lZc5nuDpxU1fn2maHAkJIzsC+HiCfc1VLTl0Xq1xHPznN7zGjbfELS0BDiGmSkIZSAp+Lgz9HQz4SPTUVYrGe9LXJQwP/kwsILbna73HK0Jif3bGCy+8yJOnT6gl0KgBO2zPYP9sT87D6Isb3Aj0QpFkGyH0ygyjJHtcGqfT0Zq85h137971gMpoQ6Z6NFGKVfpUEmdnM5/+9Ou8+OABHzz8kCdPH3vvgXZH0/zvIoI0m2kR1CdVdSlRscTIz/n5nXPaUTmuN0y5cnen3DufOB7gStV069uglvUwTiNxlW5nYt9H4rK1PfHvtViSfyorb/3gB7TWWMtomh0/60eoKZItSbKx7q3bCBtuFbKhvt807tcoANM8GwKVhCTWWF8Vk0ndnNfugNQS2K6LHoGj2+ut49+eyV6W9mvBHV8kTJGUJ+CsrdxrByozl6Wx4NMcfe1yVZDbHPRYfUMAMbWUKXF1fUMtK6qhzCRm2/tzsoBilyefbn3Tr3e8UgcvPn7yFIDD4WDTu8WUz3oDqw4E2gLM5j0lRlt7/713+T//W/8WVzfXPPrwQ6NyuDJJbWoAWZT+Yx3Fm8V7Y7Ryx1VnTsvSJ1cPqqUHwV4RQrzvqIX/DNohdE6xn8ZQnwqqZqumajVN1kge+9OWblBLwZrkJbmv1jEHIK6pJ1vN/apXO0LmJpLTSMxsj1tg9uDeXV599RXeffc9jksZ9oTbQxNLKb2xMe4pewBo9sNnYdTaK0VbGrDqlha8qSCrWrzTgzYL6CyBFdZWWErlfDb7pZpYauGDj57wy//4N/ju937A977/DjeHE8fTwnJaaE25cy9xPDoAfmvv3H7+PWlnrNWyLD1Qju+llDZTvGPyqhmLnMM/DsAnJwNI8pS5OdxgUqsmZrGfdz3JMeqq/fxuN4Eqaw07M/aR+btkoJInp9r/j57QBQi1TbLEz782i8GePXlqdJ022Aj4z6cNfTRsz9be2Nl2Xylm966uLihVSVWRWtjtE2sW1rVBdbBBRs9ScNnHgNHk05rpYEWc3W4pvGE1kpBB/4zgf6hX2Z4ajIV+yZ/g9SPoxJuySvMmqaLJGtjEpM4I/u4mw+gbkKEvqk2Zp4ndbuL+vbu88tJLPPrgQ/t9b74MpAFXjdnvdyynxdABwcqpSQiK4jYYjpLdq6++xj/1p36OL33hs/zu17/Lr/zab/Pk2ZVTJBTxDvF4yPG78Fypyf/c7yZ2+x3LcaFVDziho4OlrGirNkYXM9iTo/n4A7MHftvZbTM4Ve0DmZChcxqZnV2rWBASKHhvujCHuq4LoSxgEnv++20MFois0GjxA4ttXfJuPPc+YU+V0+nUn/OtjLrppjs8/jSkMQKz3vke8mP+CgPdm1XE5gqcn9/jZ3/hT/Lf+Vf/e1TJPHnrW3zq7utcnQpvvvcB63JyD+2UBW3QEkm8/+G5gGJkC2PNtcVo5UbTgriajJD7hNTWhNNh5Xvf/QGnIpQSqjzaRySDmFG3R90Nu6G6XnZW6U1X1uxFD4LxpEFEaCVQMnOs025GqqMpbRitrUO0UD3K1rUnABqlb88kA3mNc7lVI1C1pEZEyVPm/GzH4XhkXVfOz3e89NILXN9cGY2p37NfO+Jo7TDE6iNyk1iFI5ywAHfP7zClxNOLZ9hkRO2JijkqAWzaJWQ0WdC9loWbG3xIhpVxTTWk0XRCyeQ88errr/OLf+4XuXfnnL//d/8rHj95YkkaOCVK0WTNs8bZn6Di8nxidKRWIVnTp6qNmn/4wYcWBEki58Zn33jAl3/qC3zrW+/y9R889i2WbyNO2wTPuaDbMvbzz8BeA6AAaGsxxZvkTiECaOhnR0S6Io/W5vSg5s/AHF6NRDk+JZJDpFMrRIr3YmWo8cy8xIxRy8RtQkqmKrJVwzk/P6eUwvF03CSaA9jZ2tSApexrEUy4ypU7xdd2O/7sj3+em5L4x+9+xHvrSiFTEzT1ExtJYFQ+n082sF4gNwxEpHh5edGpd5NTRPKG/2qIeQABdoyCT7yoUg8nULM3TU0/vBZLQKcpjWDDryUnU/WYcmY/zxwPB777rW/2QF1StsGECkYCT92u0MYQwOiVEQyF/fSn3qBq48OPPup2NWxLr3Q7WpmCXooFH2AKSOJ2senGPksg1IJQTTZZ7MylnJBmk4R7BibWe2GUI9s70fQZTZYhX2k9DCN4kU0AH88wNmlr8Yzt7Ab20Py6+/7ShKTbkY8GbNP8hgZi0AOvCDpvqTp1f2H/RUJsdm/EGxHIxxAplcypwkePj3z+0zMff7ewFLi6Ft774ILT4VvcOX+Ly6sDHz+94rgsPiCy8IU37vJrv/vUJuBuKsnxWdvkZJusxP3cUpdJYxBej2dcnc3W4/bZDEBoN8+3FM2SyxJPuxla+LwIQGHyM1LqyjRNlFr7vj/b7/z8LJtl93hApCP620r0AIOCVphoIj6hPkAAkDwoTiklHwZnfTS4PVmXxfszNs7WY4WyVO9/SkwpOaAWwNDkYJUpLNlztutJvjatWhws82Ryx85w2AIVVYf6Ul9j719skZFoUGrt2aUUIhKfMILnR0LiQ2FkciftEosSRtEdhI7ywrakox15EbRU1qZ89PAjnn78lMP1gZwn8jRZGWOXWEtBS2XKmXv3H3AlVySUOQnHw41n6lvZqDH4Ypom5jnz2muv8vNf/nlqy7z5vXe5vD5RFl/YbPQGC5BtAWfXUI8R53Ev+/2O8/Mzzs/PuGpwOlijhSEehpKLmvMPnfJBgaAbvVuHRnCj4/SbyZEJjGJh3tlKXRaYWVUijJ4pTqSRBaIIrW/Yoq6Ly9jAIiMA3AZbqvQNaDytEXiHM2S8y8ik417SUNCQ7lNHFhuDp0ySb6xDAu9Ix5x5jfI+HA5HfvM3vwp3XuC3fuO3uHp2yb18Rjq7w+7szBUyqlGthNtd62Jr2KlEvkZZ8cTCS5V04gsizagsXUrN+blkalVOpULekXO6VUbdIpDhXCyQj39HkqU9OQojFUim7QFhSpnq/YdVFbLw0ssvsy4LTx8/QTEjGspCdrYEWiU5RS3W0hyK74vkKknamNLUn21IufmF+LUbKrbb71m9CnW8ueGDDx5yOi0bIzvQskAHR+CpvcknErqARVWhnBY0iwXKsSaeTA0jKJbIZgFp1HWx+yqLc3WdI9sGqhHjrUXgww8/4P11AWnsp0Q9GcE3u7kqUXkRaGSr+FVP5pohLUkyu7Mz1lIoy8n2uNpk0LyviDR2kzLnytlZ8rL4IE1ZxalxNtt0v7KuXce8aTTPR69IJOKB0kfVIhnyFX9v9dZaq1oCPXUdXXcgfZKqBRhmngwYUHVEPjYtVk07tQMi5iyrTrh4oyV23vBcUavcoV1tKfb0loaYUu5f3zq2LZoZVTvJRlewRNUFB7Cm9Rd3e/74pz/D05vCt97/mI/rQpuEIlb91OQo6cZOxUAp8TULSoEFlTZNnCS0VuyvaTNPBEPYTt5Q2K/dCeKteUOtZEgwJeF83lGKsq7WWDlNmWU9OpK6QW/tjahlYbVIgHU1+ztl07A2mmDYikiX7flHUqF+PWHfLi4vqNWmZW51rLcDgGKUfbxBt+WxZ/DqTiQIfT/iiYoNNSutoaV0GpRG/w5mP43qlPsei3dvakFfa62j9r1o4hdknxsE2AAejJsPkL0K/ezZU66vrqitMe32aGmspfUhdEEFiXOFvy/q+t4u6RRU2B5Ebp537J04G4SfYgBhYQO7SIHdKQBf+d0n/KV/6nW+9uYPKCIcT5nH7cTNVWWaLlnWhcO6clxXSmt86gX49Gt3+L3vv2/2nzFoL/xFHywUfnxDzwvfF9ce56372mz30+OWHqSnkRCJsBxPFO/vSzI496HiY3+aWIKgHI8miakINq02eW+E7bHiTf1RcWtaO20sidjAOpeO7Ou+3ZcaNBlTpUJwmvAAoTpdyOQCe2KnGk34dFuYUyhzNWykT6KKSYc3n4oufha8u2pclwMj8zSTpomylg5KTniFxPs5Yp1FbPaLuJ2OCrOd03Tr/fuzjBj6uYT0D3p94mFPX/iJL3h5zAas1GojcaecBmWymnPJjuY19c0SDRjAJOqKIr6AnuHOuz3TbNSZLNZpvVRDn3bzjlYrGSV51sOUOFUvo4qhCfvdrgcm+92e119/hddefZWb6xve/+AjLi6vWNbVAqosrCVKqZtSFV56jAagJJydnfWyXCkrga6jwjzvyPOO4/Hom9XXwm68H/g0mfJDz4DjcEbEhwUulug5imkS3CQKOoGmPUpCtCLifGAmH8DTbKjN3TOmaeLJxQ2nIj2JmHy4UByMbUk/iJgpmQIB4pPYNNbHDz4DcTCHE5KQg7cdCGNk3LcTCDsYrUmY6X7vhD4/eBPkxHznAfvz+xwuL6nHZ8wZpt2OUpsfoOrrbJl5BMURW1iTo+3BGSv7iSir2HCi1GY3BCabORpcIefZy2MgFKNOzTMqGxUYicTLGxU3jisxjD7EzAJfmwaTBxdtCz8Ryag1oDWU3X6HVnVN9OChNqacuH//PsflZEoxjCApRZXKdbHJQjBqkuSOSpm+cTR+WWd880Rwmif7/ToSukDEgq8dA4V6w1qgZlgjIWLnW5wbmyUGPiWmObPWhd6I2hRphSlnqgpVZ98MraMXKRKjZBKpxTW2Ra2HITj8+93Ebk7Mc+bFF1/k6ePHPHt6YXtOna+JdEmzTmVTO/s5eZIljix6o/OUM6LJxmdPlft3Mw/Od5yOhfMHr3CoyqMPH7GsDdKEtMIsjft37/Lg3l0eP3nK5c0R8kTxMxAIdHymKSPQkR9LSq33YUtNsfUPGxKCAY4WdTumLlPbIFkzoJI8iLLJtBZ/mAJYa8UdR0yeTN0+2pnUbgMsRtKO9k+TX6OEw9SeoG3PfwAlp+ORQN5idkUppU/0NIcrvD4JP/PiXY618p2Pn3AhMydAc7LBZqUY8pcNVNKNSAAiPWALOkSrqwfsEdhFAGbPWJwS03QE4GB9OAYaTbZvPDGdsnD/3j1abVxdXTNNE+dnZ1xdXxvf19FBe3b2rCPQFvx8hKJW+AQPgLao5GiC8/XEA8gIeg2ZIM8mx7d6sGoTT+1spzT1KmUMgotmSST04NVjIb0FRtgzjXXzx5smWk1+TytztunJtWVKiz2sPXlnc0/a33z05URwU9bywxVrg17MtnmlWVJm3p9xWmyEfVz3AJ3Cp+tIXttorO6NkSI+KVp606KEocOAre4rMSS32+gW6OlmRo4qZ1Phf/U//En+9q98yFd+74QwkbJXeNtCq60DK+cz/Gt/7XP8zpuP+aVfvqZFgqlGT0rJgINa1tsJiNvemJoaM2O2dJqtxOm28h8SlDnAFE2jCTXiBHHqigd41jOiaBl9PDEVF2/3trjCRShyolWlFgxk8AC8o/E5s5tthkbxPpJIKgJIVIW6umzplEk0pFVaAqt6TjQx+5Q9WB6SltKfe5x1EbBhbEMEwa4+JMcT1QeKefjfe2sckyHnyROcFZHo17RTGXAqaTR0x96m0X2zh4eecNJ9e47eAF//N7/zJn/Y6xMj8Rr/V+3Qt+CYhgqGl77jIHi6szlQltntdpksmcNpscPrHK91LS7XYwe2tuqT+Sqn5Wi88NagVV57+RV0yrz/+GMAdrs9p3WghLWuXN0Urt868vY7HyLJDkAphaamckAZaJbgXebSBmrTHQCuPZ24c36OiHA6OX8/Z0prLMejG31DB4PraxQFK0eRhjGIUnKX54oMDudji0B2mTZ80m1yya0+Wc/QbxtRk0lJ2E0TX/75n+XO+R3+wVd+jbWsaMo0aj8kfUPhSLofdJsuahv/3oMHvPLKSzx+9KhTaFQ3jTabtG+Tg/T3DadtU2I9ON+gt+qDcrT/252bWwatDUmV5eIJy+VToiR6Kkrx6+hDHDxo7XJ6/ZmKd9ObSU4kdqqs/m6JGN5j+xZtlBoYaupzDFBlmowSsnpSacap9WtotTKf7aitug7zbX493DaekqyUGLGidf7Tf8YatawqczoewaVQ1UvqUXLb7fesrdK8chTeNZCcVj3BUfGzCq0VUjJkOOeZ7INEgI7WGS2rdLSGpt0gdQMTQRIDRQj0K6KQHoh0ZMPK5ilnk3mViJ/csEumqjkD972eKCh5sgpKbZXdlNjPe1SPllD5iTDCJCynynJqJFGurq79PGVqaUggJr5Ts0sK9iZtiWE4jiQ5vS31vgU1PWzNXB6Fm7WQUyKrWFLp9xL0BFVlXU4sy4475+ccFjuTVYfuMZ7YpxQ9DfZfFOTEg5A4Y/2cSdB2Ug/KVF16NHmjtgBNECakWoKa8s4P72jmn7NQEAaD2I29/0DoPG9L8uLPP1QkQvkjJekAxvYVweu6rv19I+FYltX5+5FUQFHhcVF+/eMrFDgyUaArKYUtjWTA+P63bZx6Mpxksv0X3PkAFzwz7OomIvQBgiKQ6Nr1rUGaEvO0o6zF5Dhr4+LiwsEZKEU5nkyKNbW6aZzfBL8S4Io9f3tEjrRKhOj0xMeurY1hb7436NVkQau5BlPT8ibjNJBcDTvTpAdRw8eNgGlrp82Xlo4ObqsokGjV8NicGlPa8fKLd7l794xHTy64ulkdOLCzLJsAOnaXJR8ObKh6b5cSSPztqk0hSXL1nWT2qTXa6eSJkINvqiRHdFQJGW4/Q9zqF8Htk7odQAZrIMA2jW7ljY+Lya/xnoN+M37mVCf+b/+ft/hf/Pe/SM4P+Ydfu6GWmUo08NoDu3dW+Vf/yhscDoW/82sXNp0YJZF6X0M42fC9vVLhr+biFBYka6/QxE7a0m5CvWhZF7qRFUv0bT6YCWt0ZH9zjiR5wpUt4K/amPezxUAnmwpbnSqqSTw+sY3c4hmkIT/bWjXWA5YgNMbwv+ygkKqCU2KaCE1mprQjiyumIahXKCmLB+lmxxqj2hcOWbwpv2loTPmskmZ7qASg4+dS/cxAJNhGWVXpZKABqsTPg7MmmtuzeA7+vILWzKjgBIDTWiVPE/M88dLLL/NJXj8CncZYbvGhYzJj8C5vX1BkIDH+WIgDOMofrY0EwMrE1vQpPUPGF1x7UyI5c1oXNyCWDS/rYnJRYhWCWouXdZSlWPauWiFoHVjjUOqwgpfOxJCcjgzE3bRGmiYevPACx5sbluWEbO6z+SbRONTBBVfbAHaoUs+c8UBuTK00FZno9JZs02HzBKnAqXkg1uJTsIEEGobYrr1q5cMPHxmqVa3Jrzl6gkY5XcbGDjRVTbqxoUj2hGC360bj+Z4DsNJQlPWfn8YXJSPZlNZgGMxRpqw+oniDzgT6Eqo5G8caAWYE110hRlLnVvdrkEQWt+Ki3M8Lb+wSHyyNte1Ac5+42Vqy8rBg6N4t5wP7aWa3m7k+Hige0IayUUqJ3X7HvXt3OZyOrKXYdduN+hnwBli/n+SN3WATi+3r+ZaxjcBEiCDD7rupIFOmCTx6/NgbNH1MunqjUrY9rd7AKB19G89BfL+0dTTSNK+GbKXVxvXQqWLbcm2c4zj3EQjU1oZBF2tgm+YzprzjwUsvkecdF8+ecTpcetIrVEndsSQpiNrka1OroQdtrSorxVDDnPt92ZkSN56m4V6Kl3KdnjNMryFod+7e5XBz8CY98fMYiKMMA0wgVCOAbqqoS9F98OFHtifUHZKaXFtriWNpnJ48tXtUex8b625nME2+rwVPdKxSUPu6xhlzaTmJ6YM6OLnb4HAcAl//ePDJHWTm5Vde5Pr6ksPhCqQ6kmVrG8foFo1uazd6QMPg6eNhtcS+uN0gHxSfKI2HHG18Tz2qFRFvdLTgvEri6OpKNWU0ekda9AU5BSuJ76NoPO1XZHYPNeqgmJxtT7KjbyQCJP9rJBIp+RwGSlcmif6n/tky1sQoXpU0GVhllcFA0C1A204S1fBrqBmbTXC2PVvBxY/0YzswMKXE2la/pU2yFXt2yyX2+9zSRzp4ovZ+u3n2Z1Wo9TYtKmxHSsUrQRM5wfl+zy/+4pf5a//KX+Y/+H//Ev/Z3/oHoAk3q4MKNIxQTzJ0OxtDb++J8XVh3u+YZ5N+DQQz5pZEsIdY8BZ7bNvfFkomxYGj8GfxszHArBWjDsWziOroeMYuP4n0ID6S0VEtE957Av+nv/Em/6N/8cf50z9d+YdffcRbDw8cj/DCvcQv/ORd/tk/8zpf/dYT/sZ/+S7HsvOYJgYAuh9wOpyQB1CySc58q3faUfCwY+p5XFfcb0oJWYMebWe2Vl8n70u0CcGNUHpp2no1fvJkHBXWUvrkXtta2dfOk7FkibNETKhGw7Piv1Fxp3lGMBqzuP0oZQzp6jRAZnZ3X+S11z/N1eOPOV1+xH6GPO+4vro2lsU8W3Aujnh7yoOEL1Wv+toZ1xRVDfEZKQXFq95u5EINi9gRnkA4H9HBQmLxwW13U1ONSpJctrkb1pGg9IjOYmTF9ta9u/f5Y7/wx/kkrx9hYmtDi3opwRuhAMUOu/G2vaQVgBK3jYeVNCrrunjTGsQ0yM45qibFaM2nfjAc2SlaqaocLi/IMllm5k0KFlymUd7yMrLQLEhHHPVyCarY2EhfWyslhQNJvTlNVWml8uTjULmInzfNcWdU9gM2JiI6+hFcRd8atTV288w072yccI3Ji6aNnH1wh9bCVBsnhEYiqwLFm8ls9a1KZUHlUhrf/f47TClzWCpIDOAaDU3b163MMZx0a1xdXHC4vhq82ja4WikCAuefWeAWGsDh0Bw9ac0OTArpt0DaFGrtDrRr1nuQ0Jt13TjHkKJp2lkW3Go/VHZ7Ud5z9CWaqDCJr1lP/Owbd/irf+xn+M++9ha/+v6BYxHQQq0rtVlTZHLjIzKmY+LXlCWTk2tWRzCXsgUPOA0jW39Eq6HIYr/fivGikidKtRbO7txBknC6OpmDMJkGR+hkPKBYZlsR49f52hgFya45VEeiJB6oEu4MUJc49TeudSUGnPWz0M+k3N4rm2DdEo4Jec5B2O9FaT3754amtFUnGnDv/gP++X/xv8srr7/O3/3bf4dvfO03OJWTB7hmrDOFxMl4lzK7mpPz7MXub20uzxqlbvwc+Ej1kHg1GcdNANODNjPwp+XoQSOjCQ8/LxitCFXWxeRGm2CBINJRFmsatABcmycBKDbG3mUuo0VEcRlRK8PWNoK8aPALBMutlifaXiFoxrkPGktX+PHnlrODLeDIjlGZkjdaak2gB9ZTRssB0RUlsVYlpZlEpepIyi02siCvtYHcdwfkezxvkqlBHRn7aAA2ukF2NzZT0q2fN06wVc6Kqid3JvtmVSCfnOr3CfR+lwje7aHbYWk6EiKzi14JSnY2OqDDACpE7Igtyzr2uEKrITdp1528shLVqbWswwZq62sVz8OC4JgTYO9rJi/kAf0eOlAxBApsV9y22yZp6e8RSjb+zgY4DPuegmfrvjYkLUcg7+IK0XzHSOZSSr2pMklDxHpIUJvUenVzw8XlE06nK1QLIjvbwd1lSD+r2wCd574W+yP2DVggN897Slk5nU4dbZ6myUGryrLhehPvr0Nj3WsYXZAgibjmOd1Gt0hU+j6GwCdHnBZzW6JyW/18tFvXLZJ491Hjf//vf5+f/4k9/80vv8K/+E+/wbybuDlUvvP2M/7tv/F9vv/BQqkzkkGSuixjg0D8N75INmvYgdIppv9uwDYJWsqokkYVrCvQNY1+SlNNcwAjEp4s3rjuAEOAV7E2VbX3C0QlJXvjZ5yHnGCejboXoFw02KeUOTu7wxtvvMHTx49ZT49tHTeJXPT4tVbRaeYnf/bn+Kt/7V/mq7/8FX7lb/+nlOUZp6PFhTJlmvq8F0+uI6HC5V2lgtTGrJZAVGJQnilxdT60AxFBx4pYMXkDbMRcFXURAe1VPb9kQmDEDbXtL6f12fA9t/8EoOznvsHFxSVf/a2v8klenziIl5SZcmJKk/EDcT5n89JPcp6dI/Sdr+c+prZGWU8gzh+uG4RCjM9EBM8bg4haY0meM5ImarESr/hId6nqPEs60jNN1iQkXmZuivPtBciDFyeDlhH2PiQATb1mbHBIHI8WcBmyOvhnzZsBzVKo/W4kzOBG1jaF1xYo60JtpRtp6cFaRaswJeWN/Y5X9me8eXPNMxU0VdBC0mwlQ3XE34eMNBWWtbpCUur3pAoqt/mA9lnJMm1G+VRc7qsbJEfLhhKLl8WTK6kQe94dznPGLr63NdhjCqz/OyCETQBrAYtGDO2HpnkjSehcb8plskFckmyQTjtMS4WPrxeOqw+hkOZNbh4speAe24Fr0IPw4+nEWlYq4gGZlyvVUWJpXFw8QwnawcjMw+DFOsRgLUtkh4pDOIl4X2UgujxnyGOpYt90pCCQaK+uNCKwy6YuVWuvgpnBt3UPw40Ooy99Q8otzvKykZV73gnHHTcP0FJ2a+ZVG0mG3Py5P/+L/NGf+zmePnvGW9/9BsvhqaHTnghOWrk3T8x55upUaYV+ziKYa0TzbNmsSYJkxrJq7f07AQwg1q+Tpij7CrUc0WpraEkC+Cx6wJS0BKGtKyJiAaXtUIIGAEKSTIoeg3YaKJokKg2ZvALn2FB3rAlitHycIceOLKkjgjB7v+pocDRGQezBcYa3gQweeE9iIQzZPuP68tI+K5ndQDH7LWGjtqh+2APcZjdvanecSyDPiba2TgMzJy29Xyre63kNc+3fc972JH0WB0kx9Skh6iFlNQTcHHTrFMwpz2RJPXgaaLxadTWLvbfPeIg1EvFpi9j5D7dzfn4O4PM2xufFs9nu/RgCBdZLE5KSFnyMwE41/msExz2GHtpsiLHukeBsx7SPZNnvS8dAIsH2ZtI4K54UkqwBN0++HUpPeoAxaDDFsxWfSD7kDSfnXHdZWhKtTRjSXtGpcjwpv/Hr3+Sdd97h0eNLtGULTtLke1n7/XR51J59C1sb2emsMqgKTZWbw4GwfCI2F+Tzn/88d+6c8/bb77BeXbtvSH2YmjiSiiqR7keCp5GAYwFqlo0WekhK5lGdi2uMwC6cvM0YG/cQYhv2WYlTEX79mwu/8a33mLP3SJBZm1CrYmMRKlkD/HDKTge/2q0EaFQn/HO9/8BOanxvrNOtZExN335IUWrnvcfPahJIiSyJacq9IhjJXWnN6C6M+CKniQAVRALYNFBjXRZLMnGOfQQJDdZl4eLpM07LYj+hFtAOkM6rHMm47C+9+iJf+pkv8fAHb5F2iePNiaoZUzGLuQDitLE2Nplqb3ifqD60rhooJHHerMKlfgYtCcaStUjIJc5/Iiq+AeKkZtXsuHLTmfez6myDUeUezAOB3gMSe7aswsOHD/kkrx9pYuv52Tm7ecfV5RU9VHPn0AQP4GXTze0lGwU6L7fZICafSNZLRZ45tdZslEm2MoVx4VMvuU0YtUKbyYH17HR4HALlmSZrJGk+yc94cIFuab+HKJlr/H0TNIWB7J3+iqOtcivACjqDotw5PwcRrq5uMBHDWCp3btARMvHAJegpiCDa2Ffli/de5o88eJ1n3/0GF7pSs5IVUmnsUqa5nJddKH26KNEsSJSQNhMknSpCv6aBsojYITw/33N2fs711RXrsnYkfLsmqo42e3oS77hdQ3CaTqzdc99DRwDZg0hHo1dXLomvmwOq/QCM64corUZ51r6eSKmhrbJo4rc+WvjWx99gqUZpEKmsyRLQVm3956z9sLrX9j3rMoaO1kVVhTjYahUGa+hJxlL1DTUK50ASkg4HIA0mR7VjD1TdqDrIeD59cFgEf5v4ebue4u+doznHDWtp4WBSN+o9AI3ASiCk3mKvCxYwnp2dGZp6dcWtkebxcz34j+ehTN7MjThdDlOA+spXfoWvf+u7/Ppv/io3x0uaFjvn4glarXzm06/z+htv8Dvf/j4XF9fuMOM6pe+B0VDbOprYeqICeICWHUFpVNDcq4nmbBzVFW94DestYvvfjX9KiV2au3pD6CjjwbVMdhZytglfijt/GYBCpyMQsxOUloYNiyrCoC80WtzXrYDQfrfb2G0gRFTBGhkbRf4C8KVPvUibhe+8fcWzBWo6gc6oJpJUpmz7fPsZUX6/lYjrKOVH0BzBRzi//ByVYfva2oLt124lIcFekHB4GGgTT15k6F8p1lewaYaUjmz50UvCfk6sq7IWBwTEeo6I8E4j6KkesKj5DMHAgwjM/Tq2r2G/PGBiDPIagwMHlWaaJnLOrk8+0NIIzoflCL85bKjJgcYQH0P4A5iJadrJPzflydXWmr/nFt23QCSlH/af27+XUnpQ3JvvtEGCOU/Ona5cH274/vdPlKqoT1UOEENdLCJQYvVqz+/nF54Hf0SE0ipLVLTVnmeeZj7/+c+j2vjem98fAaArhsSgoFZrRLxOSxnV4WiE9qU2v4GDkDkmsodPsb3PZn0sORh7IAWtRMNmh/9y5LZJT47i91PKPbFxC25n79bn+NlSHdWWTRJkQFyFFDHPoAuBA5zbABqc6VD7mosPuAthD8sINwAf4sBIJOq+P8WHAbbWq/cixmvPEjMptN+TzWdxykkpPH3y2N6pr6X2RAC0S/bOGb7527/J//F/92/w8btvc/nssVXFRDCqWtDWBhDV4xa1aCgJ3Dnf8fpLd3jy7JqL40qWCcT73JRuz5onfmmTRKvb52nKqCbKqZrijduOzmmyBzLOr6/WUISLf5tF67MkHLAav/GHvz45J741jseDT+Ns3bBYH4YgrcJG+QIPSPOUrTnGAyLEyo12ibkHKva4LJCIw0erVipKNiyh4Q5SLHMNJ2PvoY6S537J5+d7zs92PH32lLX4PDWNppAw9vi2uW28ghITTYehzGEDJMQ46ylK5WHYTbEEHUFxDHeKQTc5W+maOFA989520gvHWvnqk4d87+IJH7eDD5VyOoFUBFNSGBgV/l4TEeFZ9jsGm2xR1ljiQMFFoonKExy1a5yyeImxn/1b6xSPOgykvdcmAfLkIrZlHAQLnrbO3C1+BJDJs9N2e3BDIEfBlR8c2GEEk2Sr2GDVEfH7uimuEpMqmhpJkz+vLR2K/jxEhP1u3wdp9E58idQdUNOoTU4F8Zu0rF6kZ+zmPGzdW2uUtZoettgzqqXdOty2frEsm/0q/aSMQDquXUMazGhb4sZM65jsmXLGmluTI8feENbPoXiVZTjZUgpXV1fDkG2Csx9C4xU2NGlC1iwJUAuH60v+1n/yN5GcePr0Q043V+YoVEGN15tEWE42eTXnCWWjde0eMhpQaTax9nYC5/KM7nQExabWtk2Cm7h79wEvPHiBJx9/zPXV9aDmbILYkFazUmoeyjwekE158kBvDFjbn+2tarEsiGQfMOOOz52E2ZaCbpCbqIrdPqcjsFHVbt9uOXFPTzTOI6DVbFFqytyUn/z0A/76X/0TtHPl3/1//Do3H59Yp2IqQDUzpULS6o48ksSoENZuH0KCtH+y/31drRoY/R/xu3JrvQbaFMEFfk508+yyJ4KR2CL0PYeknpwJkCN5UUPcLf7dJjqVKQv37tzhU6/e5+nTZzx+fKS4nWwRKJDoDbqlcHRZzzjnIWGqoj3oba4sk9PQonYcj+Z0NZ7rdVH3DfM8bw6N3FonNyL29V7JMP8QCUYM0oo1CyTP6A62b3Ieg+9s+uzziUL8nW7vtnZma1sCHbcEwqcZI+Q8mwJJWymnStK9+YK0olQoFjyGhPFYi7EXtrJ6XblHZABUMJD1CPM8uHzrrbdYTieWZbH12Sxf7LdQPFFV78EK2z0qJcGJj7MWPXLxPuCKdRuqYoK+bweqPbjXNoci1EbECkj+nGqt/Sw/b0Jzzm47zIZlCYqccfmtgBxn1Oyhbs7B9tUTfzEbm7BrSOE3ZSD8/bm7ZGtTpZXVfX8ba+E9f+Gbgd6HuK2AZB/2NE0TrVZOpyGuUVtFm1GBWtCHbl2J9rOn2LmeGlx/8B4ff/CYrCu7ZrKTS5Oxr5sxIVLC5Il7ldH9RhIePLjHL/65P8PvffM7/N43v4e2RKkaBT6zVd4bIB6PDntse6iui537bH1c4v5Ats/BbacyYqKYDKzmeL1QYBLBIQWdei/jcxvjD3j9CI2tRj04nQ4YX9y/rIrdvW8mld7Y2ZoNH5onk4F8441PM00Tb7/7Hq0ptSjVgzZr0vJBHxH4NTfMeHYuid531UwmKE9WMg/OY+hTqyrH0w2lLtZxnKJpK4J37WhRlJOibJazZcbReJlC4s0PgLqDGyUWc26WZWaOh0OXjyKCGAaCazx6t87BB2cY8Qa0lDgofLweyVNmbmJSeinTUqG2lYisTXLP3yMMpTrHzzukESsNhoFsrQ0ahcSGMerE6XRkOR2JhMKeszkkNtcZqAMb9AHofEX7uzvw7PrH/c7jPbzTvXpoJU7ySF7xEJe5dEdufQOOBHn2HYGZ1kbOE9O8M/qLDx1JopiKT0Flh6Zs9CLs1mncSqB6MAikKSPVqFcWNHsDysZgBpIWKKIlirGvzThZxal5Upeg9UTdlSnYHHbtaHeSSAaHswgt/5RdQowRJIXtm13Sq5agPNg3BpUp+ZAyk87zNh4aSla5hR4qak1DXlV7viITaG1HYVwmw5KSRGgFiFbq6cCTD9/z3obV4i2dPJBoSGtUER4+ueDp8btcnxYr7yKIJ0qtNVPliGQzApV4Jm6cmkVfSMhUiqBkWrNAZLd7wGlRGrlXsCygC4pDgAS2uUspPsHUDLainMpWT9zXsEWwKxZsRmDRKolMJqgGjsp4ABfBV6zltgwewc7zPOWwQZE/ilNPck7s82RIPMqdO2e88umXqftGmhuSils0C7CSVzcjWB97rXbu/6gKjWvo6LI47UKGcEFUCLY///z56vZIx7A3txxYQg4ks21NXV/fnpDRb8T6oMIZxjTaCHqt+RRefvEFfu5nv8Rb3/s+lxdvo6tzYCWqaeB13h5oqL+n3YtPLo19BQYgeCACiVZWzs92nO13XFxdUrQ5KqodIQ8buSxLt4/PJ+8BsuB2L0liv9tzdFnOSFDD19k1GnUmZW9U1UZdC9X0fBC3gcmb8Zr73dhvBjaMr22f80gWPEixX4aUOS0rkhuq2fa9NwXG2ok/k8kD1l6dYdOD4n9uP68nefFSk0MUglIGtRTee+/97rcRmyRbi9EGi083jjOs3cji/QDPVdxTJP2DB20J10SrhUrtXG8LjJ8HVwyIMbscCaWfUUCm1PeW9a4wgAP3xYPWKh0NV3A0mE2FaqP+JOO5KdxCw23zijfzeKofAaYnysntUeuVnaEqp9HTxqiQtO4nsX0nYwhU9HqoKtUb1Odqe7TUBklJgblJAEgexLtviUQuZDCtypY4LKb0NOdCo7G7c0ZrmfVkIIPpWEhPWALbC614e87C5fWB3/v2d3h8cU1pYgG8C2DYc9WuqGTraGyO2lx21iunDc8R3MZnDyaUoZwX6ySSWZaVVde+XxNUoxoAAQAASURBVOIcZMm+9p58JKAqu7Mdn+T1yYP4yNo779kcRWRkRHCRJsMjPHhprVHX1jM5xxc2DWnqQVx079puNU1iPyKi3Tk13xBWRreqgF2L3Yq21vnStTRK9cmBOCde/BiFIcIP2SYLnyebWhY8cPVTJI5YdEWDuGI3quJBhOqGIqRe5sQ2xWoe0TrHvdnBuuJNyz3k7UQTaU2uXFFsOEgFKWZM8YY9G19fneM7ObfRu+9pCLkHHMFH3AZnYXBDYmueZlrL1r/Alitvd2uGMIL0yDzj5zZAgHhTSGre02Hrvh22EKh7HzgkhlxLGyW9aVPGDfeexAPgcLISh8IMW4zQtvIWNDI1TZBmwHlqWt3x2+d555MbwpDpEg6ekHkYgaH7pjak4A38waWn701DwC15tD3swUyqJKYetPX17NZZN9JimyAtAgsgsGTGsiEy0MCchDt371DWlZvl2s4j3W4ajcRnNYzAafDAG/RAIRxf123eBPH+IH242szxdKKW6s1uAuSIiz0xL9jgpiNZm5Va08TaBpIoSWgycdLEzeXBEh8f/d3qcPiRoEbpUzUG+dBRyij9AkZJUUGZqCrkvIO84+LygqurA2jypqxNQsSmtO9r28Mt9WBX3A56s3We0nAixCO1KdFzyqjTLOZpZppmjqcD2gk9G1vU4jxEInw7eLb9LmN/xPX5vkoi3Lt7h7Np4tnjx3z7nY/4t/+ff5dVG+8/Xezk18ykjSTFVF9atgGCG+QpAplASu3EDPrMqJApS1vdLtMDi3htqyTqz8/izxEIJTxAdDtgNAjcqHh4vWmet6+NIEo7uXUT1HvwfXN1xbtvv82zp09opdCqP5/cwzAGMDGAILxROm+qS5F8RXNxKZXs1dYsYrNTxELBPGWkaq9wmt9wSVBbRV8gRYgqcuxBC+DnaWae9yxL8eTODr5VnIyO2bRRVS0ZS9rPRw8kW4g/xGeEXQ+6lNz+XK9e9iopo/JjK2dDwTQMUJqZpKBcU1tC2DEll+Mtz9PAGM+pJyshnWvX9ryqSrchPckbCUH8t9vvuHvvLpeXV2grSM5O5wiAC+dWi81M8PVtGkpP0gM+Q0TjzG3sgQghHxj7qwMvbdAve/AWdIm4f2Jv4h5F+797pTPOXPCnJSAWB5skri8RYAC+lwIAiLXTODvdpg2Aws6g9P0c19A8HpGcif6XSPBGJmHBux3FhEj1hNQHHFm3J2manAVhQIO4MIqiLtMYQaF4pVv7czLqhdlwe4dk54yCZDjUlVYD9GtIJMrdV3rcmIzao81s2NVh4evffotahaKZRiaJxRVK8+uqCOPZIrhKju9dsWZuicogzofX6DERj6+S8exjnSN28mU0cNcUsI7r4spEtjd3u2217g9+ffIgPnQx/UxHV23sQI0DJhHsRGCcaE5DePf9D2gRtAavElPrCLSq628m8WQAc4K1MaWZVHGnniyzs/W12YICqzKMF551qiETsdElJcjRNIgNmPHM2cpqCm1jtDxLDOfRcO5dT0ncjnkTTHD1tQXa4I7BjVG4gx7vynBOEfBFNULUuGqq1YYaeEkxi31GHzAh4fTFGuF8IqViz8QOTuv3RARpvnqB7trbtVsGIMWkNMegohvbhh2FUd2oleDGTDxzJYyhB0l+UKObO4wsQNGQblNUC63uQbMlbFhTllENA3HzakdK/syMaxcjzkuzBuSUJrTEA22Izg7Y2rrEwTTWlFmR2DZR6QgjaLdpn9UzC/x+NhxKq+TZ9VozcJyRsZd6oEzEKsmbLO0sDCdi0zClVW9E1NFEtAk6RASVxPXNwVZ1yhbcdMdhH25oTet7Qjy5VX+2pDQMHwPhROhBYnegbXBxLRgf1TiaEgOk8EQ3YcM/dGsE3SEVL4dm32eSMtM0exC74ZT7hF7791Dn6Tfqa08yJQBRk3KFamenLnz86KHrwD/H27asyOMMd8b+rJOfzTi31vQ7cTpa093Zfsc8n/Hs6RUuqmWbqDVDI1NmKZVGpegGrPD/k+2Ggt7UteVIxxlTR5mtSdnOMVHebtUkT9fEgvLxTeXyzWesTViKoBkyOxLCp17d8ZlPvcAPfvCIhzfrJlGTsRb+2eJnONapJz7NNNOr29R4Trp1Gngg0LQ7SWTE8Z1urN5roMEPHjzTvjoaWD1AHhUvXN86EtxsEncfP7vi5nBlwS1WlbRGu9BrHs2okWj0Px1w6oEcRkmz7RX3ZRd4fVy4Oa1eMU4eFNhzDPUr1YSNDC/+VC25bYTMqgs9NKuirmsh59Cal7624gimBduwS5kaZ13UfIYKlOTrFZXXSFTsfqNXbMrbJMLoakbJEVbXxRexMfUqNhgvT4lpnliXhqn0JGi2L+ac2O92HA9Hk3pNmRFIjjMkdrmjf8qTFEXZ7XbcuXPO9fWha7sbDdeTdLdhRr9RDocDq56woXaZgqJ5tSdRnfaQGjlNvRsilOiKGhgWQF5QkKz5tHR7K84bt83bPAHyyp3cluFtpY0hShs/o7hsZRNrrCeqIbWvC9IMlEvaA7+wEf0cBsCU6AnFPM+3+elqQEB2aq8Ft2rTilVsUBqgWpnEbHUTG9aXUrH4C5NBrppJu3MevPgKbT1y+fRDqyIQttd8lw2WEyasctn8eSUtZBUbrWSG3PrgWkO1eFBvrANi4nxyRbpkqlUWP4hRu5v0BCOUhlA60mcxqgM9YlXDBhxPUS33PgazHMNmOR3xdrXRbVFVB3W9Iig2tHHbz2Q21ADL2tzXKk4rG8mYeMzRwg4C0XN0fXXDJ3mlP/xH7DXN3nwRtF93nJHN+5X1C06e2ig2YKSpsK6NUlySxy86SvHJg4ZEaK4KNo3VKRNZaFLJZ5mz++fs752T9zvUD/6yLmZovHSpjvQ0N65ix8QNhj9A/y90zns5qjVWR+E9bPPDpbd+LjZPL5e789vt98x5tkaJTeOM0+qpVUfS43/mKY8GMv/kilJq8emdUcpy09O8MuGKCSmnziE3f5YI9Rr1TCecVKi3REIS9xJIbjQNh0ShOtfQPgs7FF6iTClzfn6Xs7NzYkhK6NZHEtB8cVIskquoSGjvhhUXNYM1ZZAJbTOthuaqJTENqFTSLPhwRbtmy/zMJKeJPpBDzHhKqwgFkUoiym8e/CZ1rmvuyYTG0/dA+2x/xmfeeIMXHtwzehi2aFEqzdN0qyHLlmk78Eb8YhMxOKOX7zYvcyjBO5XOwd7tJnY7a5j0hzWaszboTc6ZaZ4Nec4ZvPGsO09wx1d7x7wFLlvOs9M6siHgthe8oiOOHiXpg1dabZxOi/WHeMIqbqxi1HpMMG6SaG4bzu/egaSEFKUkMX3tnPp1uJ8ayJYoTWt3qLHeyQPsjkr1hNmXLM5rK6AL6IlWj6iuRLzavBqTIimUDSqXJwKhjZf9iLIsJ7N7wPG4cHN94w4m1Frs2bdWWdcTKpVKYVlPPTjcIv9d41sjeHROrLriVPJ9hK9FR42HTWo0llo5lsIqiQPKQRs3VTmRWHSBVDjfJ/70H/8S//q/9i/x0198lRxJXDdp2s+9uPGP5zHoNitnu5kH9+8atzMCFY0qQgRtY96B9RG1EZVvkqiRUIVxiCB7g4x54mDUJafTeXAkMoJLsEEzpQk3q3B9ElYV0woPexSOPM6k4NQKW4UAWGSD0k859/0W0roNqCosTalqIFQtltxY4GEJqmqxatUkaB7/IROTnJN1D80lO5Mw72YbHpVsOnowvMTtprqyz26a3HcaD3neTUzTbBSulF0297bNib015cz52TnzNGO+1wL4e/fucktyU5tTMc2f3bt/nzc+9QbT5HaoJg/CLIg0CWWjWlQXK9hc/EB4cWR920TpQdPpdOwB6bAFMTHVguimQl0ay/WRXJWMCWJIFRc58oTXq/RrMXW47Gh97DurqNP7CXKemaaJhCnCpUCg/Uja54900kCVrR/GHb+dzxbgiVbGbBNPxmjEr/RzrmoBrPtwS5wze5/jEucQ5VbgvqVKuTGh1OKUQFPvaqxWiQrUuAOw/ivNuPvWG+f3KsLZ3Qf82T//3+Knf+4XmKZ5JDS3EC2IPoL+b4f0TUK8IWpTvO172YYPYnNatGo/87affCKrLyemaI7WAq0YLVaNWtfpPn5QYmaJ+a1ESjOq2admezIslgwaA2DcT9iwHroEhbepDxNvHj/6HlbtVGptNhS11jKeH9ZLU9baKwMGuJxsjJGj9q0q6zIUAf9Jr0+uE18NVe+Ou3ggJKPkmpJN4rQD740f7oii42SonHimSpTLhnEJhNuyaQtYU07kKXF274xf+JN/kvsvvsSv/eqv8fGHjyi1eAAaEmCjLDZNMzklyuK60hF4aY+6iXG8igUytbmebj+FZvzGUBt3NJumS/UH11ThtFoA7w/ODqi9nRBJQEgy2kHc7XagSjuWbpiUEdD3z01YcKGutOHBb4QK1uzqaYskdnf2pJQ4HA5+ncNxRlnL8y92uz1375xzc3NtUxUZMnE98fD3Tv7Mal2ZpnPUm0Rj4E7zzdonqYolR8Y49E7yvrYMJYGm5tBwhQ8pEFNr2REIU9Xocg+tWkNnAzMstdAn3bZmwZvQg2M8+VEUySaRlaeJtiy2i3qCaobw85//PH/1X/gr/NZXf5Nf+ZVfZy1H+hRSXw/1MvDWeIbDGfw4sUEWbqmDczd+lr43FaOq9Hta19h84/02qjOq2odKvfjSS5CExx9/TMxbGBUZ20jSz0MkAgTGQ6uNVdf+daIJaoPCTvPs+0LZOthICLttCP6nP27BEt2XX3mZDx99zKkcjYrmwes8z7RaKWqqV1E236okxHVsE6ecJ87Ozjgcbtzw2nXVPoxsJCwRIKDQtPoQJU9wPAmJABvoDa4x8MpsYnW0bpSxVYtXk+xni1ZrbktWEq+tkly9xh+J/SzWoFu8OXaboPRnQJz9CBiGg+4VHuhSajalOduUw/M9tVVKs2Q8JZuIutTGex894iu/8TUePb3295BxRtQ+JwQEWjT34euH9RbdvXsHBQ6nIx7rbV5xLw56pAicbEP0pHezv8bXXApYw9ba/gmQIOh45q8TY6EMnInmQRvF7kgvVt1Qr3CoI4V0e9uXuldXY4BOq84vbzbJuXplLIb9eNpDThbwtVL7OtUMJGs0FlFKSpBmWjF7N+3u87nP/hQCvPODb9HKFVkbpawcTsK0MyWh4MarG2QDc5RTWagt+lPUd1W2Rr+szHNmrY1lrWhtXToy6A+nkyejm7Xf7896k7bFLk4BrY08zxxurmlloa4+ORUbBtQpYMXsbnVfaWbP5F+nNFlS4EFO2/RSAExpRrVxPJ3QLjPqz0VMUEBk7msRlbimiUXsWnaSoE0sze7HSAEZTZCzsEuJUgto60EizXn3TSl1wb6t3Y42R9S9drnxFcmrtLcrDaVY03fKrtbidBbtAbNTxQQDK6uS1StEriiXPElNObGbd8zT5D66H69uI6MXQDZnLOYrqEYCVZG5oZMlNdGL2FpyG1E7xQQRT0ptnU/HA1/76m9yvH5GWVdLeiYZZ0njLAktJadvWhVUdaIUhWTNnE2Fu/dfIu/Oubm6oJwOUFdareSWyPOMqE98dQGKAco4uyLZOvV1aEYti/0SA9WCKtTti9vM5knVoGtZ0mBN0PSY0nxFs+pjg908c+/+PS6uLllKIeXsDbuhAhR1byE+TsVmvYSnDanPTu+LGO1HeP0IQbwBe6pKKdaZKxvDlbMZmZSyZ9/OwfNu+UAUU38II4DbGm4FR/Clo/LWjGHNp6986jX+lb/+P+ALP/El/o3/w7/BV/7hP6Qsq7tc3ThFe68pZ6ZpoixrDwLon2zOsuHBgJe2gw5kqIc459+GIRA/608lJtGVsnYnVFaTJ4tAIEr+9pFx2G9POa21uvMNyb9RZowmk0CCmqMhdr1eMUijyTOgGhUfzjUltEvspi77ZwMhHM3za7i6vqaWlRiUk7NJoYkIWkapMwxarZXrqys2Z+JWcw5tBHFNTepzmwz5U7Dn4Fx+62totFRATD+2lhladnB5Zso7tFVyPiFY811KifPzO5RSOB0PxJRLjz9sR2hM+xvJGSKUWhzV9IQgC+qzzM0w1aGq5IkEEqOV3bF7WXfbFAp4Qtf6+PYIvqPMnnM0OIoH4sWQQUc1J28WWlyrPKgsbNBLC1aNRrSWwuFw0ysBNpLCTVpHwOLaLEFKWbynYxNAqXg/g+01kajOKKVWVE/eHJ16YtERYSyQv3fvHtc315QyJM5EhOPpxIePHrEshSln01/3anOgHqH0EM27fT/5Z23Pc0yDXk4nN6CtG1H1BCEM9DzN5ClzOq0YnOMZfJx/d7LNjboDKPQb27ymaeLevXu0Vrm8vOjJfOjGpzbK2bHXeiWvjmY2xFQoIkHYTtw054w/e3tmKbvTd9oXRAXEK2meqVQV7r7wIp/7zKc43jzm/fcfcTrFORRObcdvfv1dfuebb9HKGaqmPKINUpo65aRt1jJAiKB1tNa4vLwkkHlSohf9ZUiY2r5KPSkwFH8kPNvEOfZ0SOCFHGfs3Vu2XBzukIjhlZAz7GvYFOuos3cJnWvzXSG7qoQcjPmFUEwRWis0ZcNPtynhcQJH8OL/FuvDyGkma4O2UDD07rP7Mz535x6/c/GIp+sJSLQ009KOL/30l7lzfoePPnqP47NLxJsliyTu3LlDKYOy2CUDxX6mhTlzJM96ovyct0qp2W06PSCLa48J1NkrDObHVp48edppbPGc4k8RoS4Lh3UBDQ65Ou986I6DIEmHH3Nbn4NKJmEwRuOn+KFrLSizzZ99/wmS93sRIEMytFVToqRCopHbjtoymhNZGpMIRcTEBEphqQf30VgFVFNH5hE1NTNJRg/xvoNYi8mr58u6+JqMIVVDWSdsj6+bJ/SGO3nDuvuhVmvff7iNSGlCtPb+n3memXc7m1Df/eig9oadiHMWtMlQSmuqPc5QkvUZVSWpqd8h1teTtEIdvW+KOIqdqMuBt7/3HURLT+i3Pn0cg0aicfds5v6Dc5b1xLOLwqlC00Jq8ODl1/gzf+4v8uM/8QV+6T/9m7z/1ptIa+Ss1tfA5HSkSog9uCHqMVb0v0Twm7od3TBF/DVEGIxmG2pFsVe9wII5o2TPjph+a43hd+/eBWd77Pd70uGArtVBirB7qdsOJ+7ZmQPj+auxcgQlOmSHVK/btI09+Se9PnEQn/PkhrNtsotAHu2tBq/aSu0pJdOoDa/cMyUdwVCgR0Ta5xlzmrl77yX2uz3Xl1ecjlestXK4OfLN3/09njx6yqMPPqCthWTpFDE5dJ4zolY9WJeFsqybITe36QdWBXBU1p9bGKR5ynzhxz/H8bjw9nsf4gPRXMpsKIeE1FJwp245OUdwOvLfDxyjobdBWYvf/kDeto9QcaTBLU7wj4MfGIdS8kSe9qgI63ri+ngCLeZs69iwHs/YoW2uVrOuFEe1gv6Qt41um2sH+tfifWHTbOQZfA+C/PkGQhrOfXuAAC9ZAizkVFAVWkskQlEjcef8Pvfvv8TTx49YqzXgShL2+x0vvHCfq6sr1uVADBOL5jbTtx2OP/ZaBCMho7ZFBsG+/t577/Ef/83/mOvra46no+vEGg8TYXMO6BrT8R6DetB63tCDNQmkQHALzAYCMSNc262gpa/v5pAbUjiCrKvra0IT3oyCbD5vs7E8Ec1ZaGXxczH1Up89E0uq2watUEKRQG695zYIi7XoGFrfI8qildXRCxzViv6R4+k4zmrcp/Sl21y6G153/qbDXG99/rhvM6A5Z+7eu8s8zyzrE6gbGpkOHrc9q4Hyq/eiPO8QwJRGqk+LrHVDRZNIULllD7ZJiYhNjQzFk908UyNJJwJ32Rh1P7vdRji6BqQ00LM4c7vdGZ/59Of4n/3P/8d88P6b/Hv/3r/Pu++85wPtkpfYlZMMACTk6lIE7G2jHLMBJ7azJdYyqkRhG7f7LBwcEWD4YBZtpScs/X4jQCy1+w7ZPotw4JvnjJ/z5kGvxDNvipba0ToDkuzrtoytP3c0+i6sAtlpgGlCZPKyeO2gwDiPbfgxv5dViylo6WwkukhWmvDZF17iF17/NO9cXHDRDISYUoZy4qu/8SuIJA43l85f9uFXtXJ9fe2Jj6t+zDOglNKQNLGb93bPZXU7bPcSU4vXUrtyyvZs9OuO5+X7f56mPuBH1bSxSUIrtv5TzuSd6dAPWzOqkCHPHGc/EqucJ6+MeHLg+1k8mN82dQo4GJH8jNZu/zqYRqiuVO6kxtk0cYFP+m3FegZcvs80maQnGjYvwG046j07Y++F3QCnSbRmIKNuGofDTon5E397+30NW2Fnx+hyVj3OKTFJ4u5uT06Jq9OJQx1JcFXt9Jqg2ZnEtfZnOKq2fgig05G3ZyVUW9SVuizId6BBm0nlFmWfTtw7Uy7Xxgk1oAoDaRpWJX3l5Vd59uwZ11c3CNpBvtGz5BGiKPtJ+NynXuCP/ORneHJxxe9++yGPyoI0IeWJVz/9Of78X/4r/MIv/Ay/+iu/ysN33kbLAs0qfNWlazdGpCeCuZ8/7d9XtKvp3LL9m5hvv99zONxuns55xFZTzuz3e5ZSOhXH1oue4KaUOB0OfPz4iZ2rTeU9pcSUMmuL6e70uLALGMTj6hRk6c8sDuF/7UF8oCoica86/q1Rxjdkar/fd35Wv7EcYvrq8ZxlQXHhwf8yw5uYd3tefPlVXnzpFd5/712OjxbQlWcfX/A3/8P/iN3unPcfPqSdVnBN67jGs/NzWqmUw7EHmFt9ZXwzbtE8HakGIU0GcH52blmSbxLZHI6mFUvoHEV2NHVomEt35iBdzQBwdDpUdkBrpQUHXRtNpe9dCL5yvWVoRQURK803BJWMzDt++st/jLv37/Pbv/1b3Dx7hDiCtLbF4qEILDeOe5KxNrWNoGld1xGUeuIwyunajf82wBxBuVpjGZsJsBLrOxyy3d+mPUMNRZpSZrff2YCWaqontSrHA7RaWNYjnfIkUMrC48ePOZ1OzusPBLB1A2M8RxteVIo1VkYQ1vf65qBGeet4PPLeuzdmCFU5259RSqPVxZOVeEbc3le+RpPkbvjj+YWTiIAqOlSsuKPdySm3Ec1a6wZZdhMu8Z7+5jyPjsS0Xjtzne7iCHFypOXs/JycZq6uroZEm1+7YAFbnue+/+nBt1+HxZng13lzc/P7GKNIQrziljLiiHUEEJaURH1N+9m6Fbj5s0KMPhV7eWucb02bxLbLsiysayT2PpTKA/X+3LMhKBHEgvTni4w9Mt4H/xkf/lQrSapLj4kHzIaoZYwmmBzsUDU95mmeOTs747ScOPqAnX7WeyJoaKkBAMN+WnXIHbWDErv5DPLEtJt543OfQ1Jhd35uUX4Va1YqqwV2MhGHviss+NmJRDzWeqtF3ndcIHJGKO6/v0Xho2KTp5n9bsdJD8ahRp/rHapGR0lWCQrRmZHGedVBgqstPXmIPZHEKIparTcgxr1b5XTIHIIdu3maLcirLslLAA3h98zO1Vq4ur5innbknDZTTDcV02xTx3G+9DqB7hK5JRqJrz37iO9dfsTTpTC3iWkGmaBw5OnHb9s11BumZH6gqTd6t8puN1Orfa7tnca6riSZmPMOycqxHWmu3GbVW6CNcxyJ4NbORUBrXxt0uP1+R6m173OtfgbU1ikm1Aa1bAtaxH553rZ2IKPbpxGChqa8+p6yAN6ekqAeqFkFR7I6qJCYMswifPlTr/Fnf/5n+Nu/8zW+9vCCVTJTWmlSaHlH02QiGV5xbb6fbY+57/Lz42wWurAF4+yLGNdaehwktyZfx5CobQWr0yzcZWkNeqkPyFTfn0476iBK8oRNDOwr66gASaifaYCYoTxWuy+K6qjZefOtqJARzqVS9UirC5p2vHDnnC//+Ot878MnfO/RBc39UMo23Ohsv+PLP/szvPX97/Hmm1eUTYy3BXA6QDEJ9+6c8fqrL0FKTNOHoI0kkJPy0Qcf8nf/9t/nu99+k48++qgnZaZ84/ckiWk2cYNSnOLJUCHr1UEN6udtf7OtOEUs06oj+x7T4PhanibO9me8/vprfPjxx1xeeYURe34NuL66tvVoniSqsw2SmPBIt0XjOgNYiJkYZ7P1uRyvDxQt0J9oxEIb9sYf8vrEQXy/KF8APNsIHpS4esX5+Tk5Z549ezZ4pDLKlR1RAUL6EDxrr8G7tYNwWk8sbaVF46GCro2P3v3AkQUbuZ68hFcxw3I4HkdDhb8G994WaeeNITHNLnJeoxZkaLCuja9/49seoMvGcW3WxR2MqXEER8ucTK21q/j0gEs8m3RLFuoGwatsGtzt+ADYDlhR/x0Bl3d3jpVPuJ33e/7iX/7n+Mmf+ike/Zsf8b3rp7BWptmG0gQa0ocQOLqBN5K4dbf7eD5gSoI1yxoyZ8Kd4ln6hhsIg4vamqvaWKCIf38bwBsVQnpQhQhZdrzy8n2+/Me+yHe++z3e/sEz6prQtrIcb1iWozt6wtJSaqNWG8wkyMa5BD0qprolzs7OTYpM20gwGAlnlJhjzLIN9PE9jLAsq5esHbXrznHQNmK/63YtG93IbBECew7xrJ8ziNw2jnEet2jkFiUKxHSb1ff3a9EMaedv58ks6g3nm4S8Uzri9zfOtSe0kTxoBHa2fTqSJt41sNkjtgcyGlinNz7az29l2wQ2qGEE97eSAtkkLn5/EZiEtjrQg57WGqfDyfZ8C5KR9v+XTqmhJ2yA897l1ro8L4MX+0u10erKvN/x4M59rq+vWTwhQowOE/tTxNC1VhualWVZurRtJFnN1YpiT5kizo51NS3sJH52MdoNKqapLULTwnvv/ID/7f/6f8PpcM0H7zxC2tx7MtKUrdjrqGkT63UK9DWABttm0agm3W7ZOkdjqAVaVXlub9buLEUS9+7d4+WXX+bDDx9ytZ5uJSkjWRnP3RKITeN/txXuQ7bNvfaBNHRwhv189nbgzf6JNb5zdo6kzNOLC7bNfRHQG7UyGz9agx4FEVxuThoiMUSuEf08TQSVRE2JZ61x05QqE5MKD87O0alweTqxtsXEL7Lfn84d/RPhlq0KbW6wPbWcFiSbmooyG3DWQm7X0GwRhTTAm77etDE3pdkeX2uBVfr56fbNz0BrBm7EGbCl1z57whK+tqFObcCf52ycPXMfuuS9VGE7VD2gd1tjE07dVWXpX9NWuXt2xqsvPuDuztTHFhSyohRam5BWOdNGKo1lElrqZt3e0KvQvfIc5z+bHU96G6x63g4PW+D+Wuy+ckrkaer2CVdJaao8Ox3s2SLIlN2vwJ15hzbriVCPuRzSGJXcHiw4kBON/2x9mgLN52xIt3n3Z+HLX/wxHn70EW8/vmH34FN8/o/8NHdfOOP04a/QuHSVpSG5vByPvPvu2xxufIq2qlHNWvqhdTCqkfLOh4+Rb2aubg5cXd4gtZJSg7qyXD7iV/7e/4/fOjvn6eMP0HKCZglo83272+3JkjitNvDTsAZP3HGgUMzubiOWoJttn1XM34iKclxvrY15sntYjkc+/vgxi/cFiu9BMCaB+p+I+wJxYM2lkm06rj3b5D0B0HqfpGThbN7x8ksv8ViF66vrHh9vwczn468/6PUjSEzqcNbCrcWyZ2kO9PLZBYAvgO8rX/ScJ+b9bjMGGjuAsbEkAi84HW948uhDrq4vOB6v0WrNPKUoqJgckH9482wtSUIlcVpK56qTNhGxH1LAryEclAWjVa2sMk0Ty6l1aangk22w4h6Hd+ehgDejdtQPz5R7VGBOh0BAImtvxvefpsyyermsX7LcfrAR//urtopMQaVo1OXEV/7B3+d3v/bbPHz3Pcq6klrjcDj1SkDf8DICtNC8br5hxQ2vLZ1zchlBJQmkRQWjdc11PNjYThQM1CtnQzxrq73kpYw13CJ20+6ML/+xn+Z/8j/9l/l//Y3/iPff+xVOpwxUJAtaJ3OOuvpm905+4v4qtbJ5xrkflFobz55d0Fo0d0ncFapi8pybwDoC95THIIuybmgb7mRU7L23zc7hyxubHghxOoJsjH4EYUSQLXQ1lI1hxNcRCcrTyPq3+2IYcAzrURmBtTtwbZXEbEoMwLGsHA5GQ0LsfmutTheTfp2Gwvv7uwzguAdANxSe5wM0hqqVGUXbBVtDe2tIUARcauFSnIl+nwxqUvZ93fecCKd1ITjvkSioD0LrjkC39LXBy41EzigqypR8bJWqc4tzD8LjvSPYlylz/+5d3njtNd5/v7FeXRoAjo2qN/pQ63YoZ2PGVi+Xi2L62gjQaBJVMEODj0e75pHrV1fesEQEEdZlJU9wc/GUb/7uU7J4slBXUpogGQ+21ur8TKMQpCQ+/NfpD1NmN1vT1rKspkWuyjTN7M8mjjfVG/YG6iix90PtIYADVW5ursk52zyHLW0oAp/N3rX9PpHSZEm79zi11ri+vsJQdUdwPYNU2Uii4mhudX6qxGmOcwJI4rgUUvJhbLKhSvTryUYDqQuqtXO1IcCN7WAwe7aidsZQRSSjDlqZYG2ipoZOylJWmq7QKpNOtiaJzmhXETurIpRlHUlqTFH1c5bFq6icM8/32J2dczo+oy6XGPrZXHzB5D2TbCqmJON7+xCkyI4DuRRxGswmSe5VQYa9CGtpe9PtEjrOhoygPOeJ/X4HUkwDX42WUJy+EPYwJPfMtQyqCK5eN087JGXSrPzO+x/z3n/5d/ng8oLSEk0mChOokHQFXbk/7bg/3eFhO3FSJWlyjXhPPFJzdZRAJAbf3QJa7ZTpuBbzmYaYq1cpet+bn4MWDelJBrVTBHW+fwUmcYnGptw9P6esC9fVquGkYWvjFVUovKk7+spyP08Wl4GSRKliedk+Fe7sJ8p64LQqzPf5/B/5Bf76//Jf55u/8w3+k1/+RyYX6lN+TVpXWdeF73znOwQ6HXt/KNSMV9PGUoWHH1/y6OqaVip1sfdKtijoeuJ08QE3zzJoI6tNOm64ylzK7HdnaKvUwwnVDY1vm5BH0tUZVv78kvjcoNb3vIhNJPecx858FvI0UdaFtVXWy8txDtAOforHgpGQ5h6Q+bXYBLku8KFq/WNJNsCHwvHqkg9PJ0oLNRuLN1LSPtTv+d7BP+j1IyDxgzuY0tSzk9bGRk5C58cRwS3S1SFkmpimidqqDYDSkRgAo4HS9VqXwxXr6Zokyi4ZorPUZnJvKegpDc0D4OzBYFcKGc7A+FJ+zdocmfFmSn+g2Y3C6ViYpr19z0tdEXXag8Rtlx9igBTKK3ZoBkJzO0PNKY1mKQ8K7YDENK/IuCPjvI36ZQ+GNNnvziH/WZRyOvK1X/91EOG0LOBqJbWspM0Y5HW1DDol4Wy3I2G8yaUU0/RV7VUGa1YSb561rH5LF0nPBexpgxjFxo9NqQS/z4dt+P7qKDK2tms58dYP3uE//P/+LX7v6296Sc8CfEmTnRUP+A0hdcm9Grq849psTQeqsp2GOf4+AvmOZENvpjHnY2PGTYWh9T3eue5ECcyNuIZuMBsDMALanG+jjnGOJILoCGqec5yqZjxDUnKeZwuI5Pb7mSykY4WqzjzaGBxgWU9I2QbgwxD3YDvFGb2NYloCuAkktfWf6zSEJNw5O7fg7XiwZMjPSs/je/IWNIk4X9rXRD1wjtetkqVfU1R8IkmNpNHQ1lDYsqcczaRG1WlxmD0wC1UHu0s8kYvfqQ1EtdO1LDkJe9hIYu95fXHF+6fCaV17UiN1M4zOaVTb5jDzO2JBH/TmZDM89p89Y6OCpZxJKpS2jmADk5A9O9uRJHF9fbBGPnGVLJ8iKlqJabqzVzubCPO8Q7OpXJgtb9y/94Clrqxr6UGVqsmgiQjzNI3+p554blBKMcAhZ+G4nFg+/tgCXD/vsW9vUTF60mY81hdeeJF79x6QUuJwc0MtlWU5IbmBN4Pbvg2wwS4l9kU0+HXLGnAucDwtt+x52N3Yn7Vak55bCNj00qgnZPH7Zjhc89vfRlpySVcbwLdqpYqiGW7qgqjSWqbW7L/bYkA2kWEGTWprR5qfOWtEXJA0I3LGpz7909y7/zLf+c5XqRyZssmpJpmgJd8rMYfFnpf0inTI5WqnIVpFy85VLRWwKmgE9q0HsrZvW40KUZwJp6fh144pgn3557/Mshz42te+1s+F2a40ZsaIU0AI+p+gmkgyM893eOXVTyF5QrNw+fgh37v6wJSIyAjWH2efWEhS+dyrL/MTr32Ov/ftr1OqNbvGGhvPQ0a1UcDUiKJXYkKSzUOwgFK6r5unHZ/9zGe5uLjg2bNnJEmUuo51DkDMaXDi/1a1lZmz6dhbogXPLi9QbJ80DyTDfkWyrOry0rEfaF3Bzn7Wzn2krlqtd+bTn7rPL3zp83z969/hw8vKOr3ExeOP+OW/93d4+52HFHF54ra6goqfVSz57lPDJegohlCP6psHzcnWYDkY0DGrPZPSGmmaLbFtFWpBqPReNUyRJgGH44FWV0+GcKBMnjsH6vHdUF0jYhJ8f7sf0zrABvsBs+vrunRQgUhEu31W75n05tMU72xxXlTkw14M5UGs4isGMsUAtHUtrMcj6nTqnNwHizETyq3G5X/y60ea2DqC4VjkLWJi5ddtYGfrM4L1UiuHwxGcg9cHdLjNz9nKkFoXLA8oiGbbiA585HmiiXPIopnQu33jmYTyQPh8Ee9uptg51UwGzqbCg7sz18fCqQg1TZRVqc1GqafoIm7BtfKxyq6esy2ndbQOKM3HQAfyIBtUtWdcpkCjzseyOGEEKtF4FY6kNwvRBoUBccTcqEY0SKocr24cw2hIao4SCegYytD5vVjDk2hFvcFOEqg0T6o2O0DLQAHcKEXgFQ47Doxq8BtH4BXGLk15HJZubMQPqQcpsvLWD97l0ZNHlNIobXUHln1/2fOwn59A1HsuPAlKznvb8px7IiWuAJM2Aa8hDVmFO9Nkcwd0k4gQjcGOB3ugGIGgBMLkQaD6e4Lti87vVhz9N8qFvZUFBuZDZpDWuZSGumunD4wGMlvz/W7m/M4drq6unIpRGQGQBRSdh9/3IeYYPUETojZtDiV4lkPVQDZra+/jrL1b9x5oagws6fQXDI3oTaieWWtquM5ff0VlrHmCHmh5536OLUPIPYqOCYXxTcUkTWMA1zQFrSYQ0+or7u/rBjd0nwWM94ghnKqV4hUzbUaNMDXdCGonCzq0dYfW6ko+FR5MmSvgIDsKlWOrTGJ6xQ3vb0iJSgSCyahyzWxHw+Zs2nMd+1kVWikGTNBIVGaZSPtzXnjpDV544QGPH71HOi4sy4Lk2TnW1Teq2wYsuASY8sS9u3dRVZ4+fWqUpJS4fHZpgYtXCWKHtWpUwx7IYfs27EtyNEy1GR2yVS+JK2g0iQ472lnS7sBjYulLr32Gn/sTf4YvfPFLPHr0Id/6va9xeXNNeXyyxk/3I9sqWJyt1KL609hNM2nKnJaViKy65ni1acciwjRPnJ2fk3Lm4uKCVpSiJqIwJUPg9nd2rLWwlhiiNIIHqwTE3g7J0uZ0HteW9uSviqOlJlBPjHUf+3HQLpHRU7Q5NX7GTEGHXLm6fMTxcM1yvEB8rKVdYnKQIM6i9WqkBNmbTYsIaZqNAlN1g9hX863ubJo6oKfGDa+1GgIsyRPwCB4Zjc4aB9h+/qOPHrGuR5/tEgksYy3D1raCzY0RR0iN3b2/e58/9xf/Cv/SX/urfPPb3+P/8m/+myynA3V9NgALuwIsK5p579ETri8XTqWyVEVb8p+R3uiaU4IKs1lhiwPEtcbZeRhdAzns9u7q8tJUfpLJTU7JqqZedu12Mholm8JE445UJhI3dWJtIFqpVY3L7xUeUWHKmx4fkZ48hf1TvC9xdgWbUt1eCzlNkc6S0o6LY+ViaZSmzO3EzXvf5r/8D97hZm3I6cr3nQGrwUgIrfhRTaAnZT1P6fc3GAeq0dtg19zEGBcqjaRKxmSgPWqxxGayz1iWYoF+2qi7uf/t4KFsPn/gTOb/tr1hzU5l9mGfBrxoD/BDJlQEozX1+E48IZfh+x3gCUWnjp6H7WGTTPjwzZwnzvZ7aruhV2cieJ8nD/DXTxzAw4/S2HorMIi82AyTNYQMNQILgP3hO289XrUN6kWQMcTvozp9Y5rM6JVihiIw804F0GqogTe+GOfRVt6asH1jSzV7UybLyLOXmtLMpJXPvXaPv/Dn/wS/983v8dtff4fjAtU/FylQTSouJ1cISNnRhV5wH0GewD4lznc7bg4HFgkESqjqG0LED7cNABB3cEEzsIBLu6HbZtuxcaMRTgWyTKRsDZ3GU4+gDWKITmtW6o6sXzqvtfUg6FR8xHAKdCFoMdbwVTQoQtI3pXqAlFKUQYbxNUOL30dIZ8XB8wQlGmS1bZo6vSEUCyBlN/GZT3+eWirfvf4+rZSeFYsYpSqeQQCAKeXNFM5wXJsgoTetRaI3kE5R5WzKvPHSi3z0+BHL8UQ0WKLGGY9hGoEy4edAHH0VLNMuNRKyNpBe3/elNdAVwasGTvtxAUYSE0m8Mc0D4/3+rNPQUrLzUmrleDiYoTseNwmHIblR+YhH0aqiUe1oRitJeUbT5Lq6fh6D76tB69ok8GIBWsho1lKcaRefdDu5VVUOx2NPQrpx8ueSAh3RUN8J1A9KsQYoBOJOwgYIHij5MJKtGpLRjNgkIzW2F/74jXfMqJCBc9Vl9PBEo1+gSr3xOE0omVoXptQQyXbGRcie3uSceSkX/srPf4E5V/7Rd9/lBwcfHx5UC9+0JqXrU7CTkBODhifRXGkfX7u+AX0PVtSrWJBa4v6D1/jFv/zP88UvfYlf/a/+Pl/79X/I+vRDWlnNX0RQ643OxR9skgSlcXNz8OCRvp9aicEv3fINnjJwWqORMjH5+W9q92Ga3p40agMtZjcm+6EQH7CJn+qghwXXOZku9ouvvsGf/2//C/zcn/x53n/3IQW4evaU64unlMPJ0Ufb090PRbIhCRGbmHv/7h3u3b/PR48+5uZofHxS9LUYSDPlxP179/kTf/pP8cKLL/JLv/RLXF9edQlG0cpumnn91Zd4/OwZy+Wl+buUqSXkf+M4BCXObZV4BSoFDcZkQJNXZ2k2F2O324MIpxB/IHxs7UOtLBjLbvuskqI0pN1w8fi7dmutktxbW+8CHfxYa7XArjZ2CHdmQeaZ62LnLc64BXHVgYlEE2/8FIi0yxRlGrSKpookD640gmOzJ0jypM5Q47d+8NatZxbPTfEKePKpwCmQq9h/DdWVSmVNFe7eYU2gc+rExeTXWZ2IlyTTNPHhqjwuB8gTSZSWR9ynCknt5893ygt3J1ppPL0+oZJZGyQ1lT5cgjgl7xEvhWfPnjHniTlNVC0Up1AJLmfoYFVrZr+mnDiTxp/6iU/x0v37/P3ffYdlUbQ5H1tnphx0EBwgCAMaMQI9mBSE+3fu8PM//2Xefvtt3nvn3W5LmdQXN/HuR89476OnVrkms88CbeHy6TUFfIqsP0M/QwEohKfKvXhrYKQ2eoU86M373cw0T1zfXFNLtV6K7jor4nRK3112ZxLPunklUAy4DR+h2vvRxN1qQnqTctDLLB4Y/ggcM1KlNKPhDqTdglCVREsjMVMHMYLCE1RpQ5UdfCnNqU4bH+p9TC2SVjGg5bAcqVSv5DgrY5qprVDXlSw780XRJP0JXj8CEu9ZCGagPZbt5erqBjCn7DcxqAYRgFZXZ7Ayv3aUPjhA0JjmiQf3H7AuhQtvPGSag9bFNBmKXovxjFWdY6gRtEmXgJTc0FAwIJHIqBhvVIHXXn+Nv/jP/QVqPud3v/0QKQLV9Gsb3sXsgZeGAXkO5eklVQVJmXm3J68rejqNVXMOjzm1yFnd8NYRDPb33fz/LfqCr3U0H+FNMxGc28bzpp8UKKT0zYzYpMKk4pM4jQ/bah3y8j24sM+MCYAx23WrTJNIDOvrEpi3uJL+HtPkg5/6EvpvqAcp3hQcjYaWzqMqlKV593dGUsMArFBZGYGdXasj5pE9Z+l82HheljEr0xwa775OIgiN2hqPnz7lcDp5YhQ73ykWukk8IqjsKFlwohVapdaVJMp+tv1dYy+poJqttB2JTrOnaD7KhNAQ8YZa31+ejKkHR9ISpTRqPY5ExFES8J6HWIuUjC/oAaPdb8jNDVUJYRiQqP5MJizdHbkGggke1W+cyWZv91LnBlUQD5riZ0JFoZ8HrZa8u2G1Bro4b0FzsWClKw5JYqQrcP/+fZZl6U7teHMzRraroegpT87b1oHe9KTPKCbdYUSzsd9j05Upq0vw2YwCjcBczKnt5z0v3Zn5uS98mlce7GjzxOGb7/P+s2uqn6Zo0poQzvKOQ2vWTKhKxQ6keqVEBYqOfRyoG0AM0JMq7PdnIHv+/F/6C3z5T/48Z/s7vPv9d7h+ekHjpj+j5PfZNuiSBVuN9bT4wCrx0eOpN+PO2ScKNh8qk6T3dthbqwcpvgc0Q6LzUtXXsTdNSzbAxNdC/JlLJOckkIndbs/9F+5z9+4Z9+/dA23cHG8oTUEMXIl5F+L2I4LbDiyocloW0vHI+Z07nJbVQCUa2gxgrq2C0xPO92c8e/IENtWZsNDLWnj/4Ycs1aaXJnGA2g4ZsaUcgEUlft+yseTTtM01GOItAUapUsraQZmgbdED+efpRp68EhWpod/dk3rEm2stmBM1emqrJiU6IXz2tVfZzTPfee9DbkrzmEo3iYlNJdGYtVHFbAfGlzffZOhvmkZANob/WBKXdShP1WqjN8XBBVS7fQl6AR570n2DBUs5CcvhGf/4H/19ro/XvPf2u1w9fUxZjp60CwUHK0TwojQN04qXgTr6vvWqZLPq/wsvZf7Zf/pnKWvl7/2Dr/L4CpLV2oGT26MJRcjJDYgaLVY2dgMZyHm3gx47TSTOdhNf+MKnee3FF/nKN99HT6sBDC2R8h6bIF26ZKFIeKNB5QtK6OT0ntPxRF2LPxMLL9daPOhVb9BWdnlCFJblZNfZCkUBDZWcUJUblbUIwocsqZ/XbpssljNbaepJratPPV9hSn2dtjKtonEW8H1jHzV5Fb+VmLui/b1wium8oaNsKahbFSarTrv+vQM+llg5qwHpNqpX9xgy0oDFFwRQbRTGPGWkNcpqVWajDtvk8mnOrKcTpazklNg7YDNl4aY21lJYfR0Ghe0Pf31yJF4HBy85P1rd0DalN7zEwm8zItt0hkgHwV9E0DQeZmR7TZXD4WgUjygZt8D9w8km1DN9449tsxYL3PpTl8myf62IrHh1nYrw5lsf8H/9v/8HvP3+RxzXlbM7D5g1c3Vz5fxAxTVVmCaTdIuAYquUoGoG+LQurM/MMVRw9Rg/bN4nEI1EY2H7/wER/Axe1/bgR3AcGZxtTkAn1+O1w5O8AU99DcY1+/uAlw2HEwg/Hion8bkH5zGD3JIQ20p2bpucuhxhT3YsYDLHUj17HpQru89NJ32yagOtsS6Vd999aChkyiRp5J1Jai7LwRIAsZJwBIqjy1vcpo7rGwhZHPyQmpP+b7SxXFwgOUHIfRm/aHPtPlXUAxkk8m9DKdYSVI3Kg7t3+LHPfYb33nvIs6sbSgPFRqErOP3FA1TnB7ZWDVlsEcA2TqelJ3CWQFlTomIqK1PORuHyZ9sTFk+A8jThH47QNjQG6chea9UQlE0fARitBDXkP4II40aD9sTLvG1reBLpQVq7vZ8AqwzlUMKwdd/SIIZvtX0nEn7WE2DLUex4JwsyO6qehLOzs1vXT3JJRw+K8+TTgFvt0m6ihZSbB7dCnmzqZZSKTenG9tSUGhMrlJnWrGl6wp6dYpxTVHl8hL/xX/0mn3vjFe6+9jp5+gDaQpMdRZPTZDzRrkaFiwZ1bYNa0JFKod9DAAs2hTIhWtmj3JsbL7y4563vvsmqyje+9Q0ury4wmkZGtd5K0GijvyWQqa0WtjZDTMMu9CqdePKANx8KoEO1IQyNttb3pYj0pupQ6bBpxbn3AyAhu2vPpzZhLSuXFxf86i//Y548fsp7777Fm9/5JlfPnpkDDWAjkhxXCWo95A6qm3I4ragcmKYZ8yQCrh4iot7MXbi5vuJ3f+e3OR4OrMcjk6PB5qsENHE42eTo5qCQOkoxEv5GdapN8L37ECpfL1NvcZhAEokY0MMtNzGqVWNfWzCkfn7klg3d/p5RQEYKkiP+97M35UQSU0aK54Ya2hl2NffzGf7WLiCqMQHa9ATfg0fzFcmBNbfRWhnFPudWb85/p0tAf27NA3iL4Z3+k4RyvOKD73+XJx9+QKuV9XCNuGRfypnUGhn1/0zBLo1cwGyH0APTqMYIcHOz8PjJU87P7zDvdmRZPb5pZAdE4vrC+sfU2n5vHo9s4wU7dqbEVptwfRL+i1/+JrPAk2Ol5Rm0WZWPhZQm9md7C4i9B0U2yDASPXZWvTi2I7/zta95IGvPI08GBFgybufLbH1m8gGdglGVIhEek2XHM+kJhJqtz8nsSqtB0YvErfUeyS2gt+17sUegt9alU17Z7D2PNQS/X9XN/hgVX6Owtd6M/fzQxX4m3GcFTcaqs0Fz8/PriV34XLOZdDDAqMIGEgVKn1Nmv98ZYFeOHTDRjUkUYEqJu+fniAqHww2Zyi4nSpVO8YnP/SQv0efv8A94ffGLXxxvGsbsuSATRuDZJayUzcZtXuIeTQARlAbVZLfbMWXh+vraD4mYA/LANuXgYtnC1s01qGqXKyyrSQvaFDYhUSGfIAmlTMxpxy6tCEeqCMrEg/svMk0zT58+obTV8gDNpDSRUmb1Say373vTjObloOoNW9qDGzpOGINbevIiG767f22LfG653LdfbrxlRlt2xEtRXZDUxuh3Et3r0i+HkN8zCTt3fh3x8WcXwTZRSYn7Vg+srUl2miaOTpno6Lqkzj8ORDM45PH74aQGki19WI+4Nv9uzhZkVjXEy3n6p9MNiPQEY1xvf6tb9wEhyRbGaNxfB3k0/nMaSTZpOEGgakciEGW/33UN/ZSToxhOG8KoDhnlwd0zvvTFL/DO2+/y0ZMLTs2oGMmdX+rTQGJ4lI2nTkmsPN4gZNo64taa9RWoOrq0SSY3iEavUPiZM/3/RNJGTsr5fkdZC0utPrRKurNJaQTzoSTSPHiMgLp5aVGcs2mfie/DQK/dGEYY4deYsqHn5gxiLQZq4uDP7fvq9zOSth+yP9AnBNv3fSphb+itpDxQpFatGjaJspthfzZTSzW1EplIU2ZZV0uGkiDaeOXFM+7M8OTJiatTpqaENK8lp0SeCkka6IQwsd/t2N854+LyGctysCY8TGEliVCLITU2iMWChDnPiFOvStv0OcigSoW6UspAKexb5bMvvcyrn/kxLuZzjpq5fPaYi0ePWI7XaFtpmHZ9R6XUFLi2Z1FEkNkcs6j0AM6qSYZgxau14TDDrmzt8fY9t88sRS+PD33qKik5guWGNHOMeXeHB6+8zitvfIY7d+/y7NnHPPnwITfPnrJG8NEWtBZHsQLlTn1PdmWaZv0RnbvalN1ux4P793n69ClVG6VW8jSZrXY7LJMlwqXarIrey7G5rwCtiMAhxY7k1prEevQd60F8TgmaBea1VYTcqyw2M8LXSIatU8sV/IwH8htRql+i4qCWkl1/G0k2DMmDk4QyYb0aq04sbQQSqtbHFM/X7ke9KdGAItXwYxEjOGUkWaCorfYG/QjKQ0FOiGr2sBPb/aOqlH6mFVpjP01GQVsryORpinZ7FEpB1fsPRCvZciyan6XnAZ5t5TAhnM1w50zIacdhaSxFDQdpMOVKnrLPFTCQcUtt6uiwmM9KybjOYVeDlpGS2cE9ldSUY97R5j1tPZBqNXs1J+Y8U5dQBZOe0N8CQTF/Ev+O/SHel9RBs0DFRdjvdqAuSAJGmQl69PNB5CaQH3RDe76WRPv6xxa0sutYC3+FX4nr79VwBj0mcAEYQzEteLZkKSYCb/dJn7nRRi/b7/eKPbzb7djv9xyPRwPkWr11Ngdlx0EPGQmNqu17UW/M9SMXooim5RLgnpKzWG9Vrcw5s59msgjH44H9+TmlwfVxIcbbxWd8//vf/33vYfv6keg0QM9EIsDcZju3nH/bIJ88b9wb83zGvXv3uLi4MGUNtea37AcimlcMUc29iaL1JialakUkd8RxG2CbiknDmuyyI9PZg8Ns/GYSjQlhRpvw7NmVOdVa7OcRUp7Iee4b+nljDKPc0rwBtjnHUd1RbDumxzjgcYAjoN5WEyKzjq8FCh6flbPRZrStTJOSU2NdG7Vg0lDOUY/36aciDn5/oNozjG3W+nylYSux1A2xH8DQK85ZuqxjoJfxDGPIkCUNNsgmJAOfT4ysadm7uEtzjV47EMuymlfaNOay+d3f79w+Hzx0Qx2IMxvQy4MLq2xI/35zT6UuqbMsS1/Hbrxww4kYyqaVm6sj3/zGt1nXQiJ3GbOUClMav9OA2iLlCktmvP/nUZztM1B+n4S6meEInVrbd65m4gZ4mjKvv/4qzy4uWJ48u4VsPI+cl1L6eW89SLHyuu0dM/otKGMOa42zEo564zCTdLWUCKiHofdisQ44chsQbtfg+e8lEWLCqD1Oc7wiViI33e7oH5lMiyMn9ruJe3dmXnvtZda18tbb79j7xH5uDSUxZ+HlB3f52S/9GN958wO+8f2PLMCSSpozmqFINjWSalz8emhc3hxoAimdQ6uI2gwNyTuYoPj6JK0kMnOaOwoelIxwFGGLejWsNZRCy/D05pLj29/nIHDyalZphSaV3rjsz6Y2D+idttBa486dO6gqSysEDVBEeOWVV1iWhcdPn2xO1u1997zjvB2s8kP2I35nW6YOZKxXZxK0unD55EOW4xUpZ5sTcbyhefKRpx2QLWDrKLjvC3GpScmxrSg+Tj5sMsSZSLTVKzVqqGoE5KmZDbMdGX7N7VoKW2G0xo5cphhINZDq5wOLps2aTt02dpYgoFSXxkyD3+89VdGnIRH4eHMe0OmRtwcc9oiOrszk/HRTFa/WGu1N2+Y7MtFXFfz0fg9iVxiAyDizuC+J5+1DHnFKp18GzeoDuQfO4722M146+tt0s+5YBaQJkmZLYmi0ViAlhIlXXn2D3fkZ773/HuvxxiV2K3me+nqISJcrvWVD3C8Unbk+enWTyRSeKEiaLC6YErWdfN9b0CoyKnhIIKvPUQojGEZM41xXynpkIiF1oumJTAVNNJ1ppdkwOxdMaK3+PkBGKACNsxiymHj/2RAacJ/WTOI2Kql2TgxgMebEbTp0B/WSqcs1/5y+t7sNcPDEqw0p5U6Z3k5FH6ISqe8tv3gDYtoPo+jhLyXdtiNbkGBrW7bKec+/zs7O2O12HA7WAzTSx4hJ6FTb2hxg2Ty/uFeLFZTalNKqnRs31hYTOqiJnfO1Nko9Eb0ph+srs094Esjt/fKHvT65xOSmDDgoCzD7EKF1owsfY4HDQEo3II6wYAfl/Pycq6ur/hkpJeOYYhkOoUjhHLwIqboKgjgXyx/AnGdaVRusgk/08vK+LZAQmwqgqNKaJwqaaKV4M4wfFg/IrKwUSMhwTLZZ8y2jED0SSDQrJS9FB9QV37bNEdtmeyD/IPQxUPDWlN1uz36/p7YL/tJf+tP89M98kf/iP/97fOPr73M8ZOey24CNaELVsK6IH4JQuhBfX0uemt4eSWxNb9KvM2SgRgDvKCrGKWsNNKgZ3Wn5oBFRMnkcZHeoSZJJZanSRGnijX6+ZqZ+sQ1m3FgxkPVbEoybhMjW8Pah2FY/rMozQnn1pFAUgjCAeGDv12184Cj7M5AExNQ6BAuYqqJHa+RLeUdGXHascO/OOZ96/VM8fPghN8eC63bQGY8STY9ia7oxWKqGRuScqKvvkegtkbjzTQBFoDN2dkupPHny1MqoKeMTenrwG2uzRXoiabH1DV51BNpGKUtuhPa7PYrzQ2O/b14hyYcOFCkaJiJYAT+7YfBVb1EzzIJuEs3NtYta4lXKCpKpDXZZEDFGemuuCiI2sK4240s/fXZhw3Ka7eNWCsU/w5DWyrMnzzgdV09UrInP0gNPHiT79VvwnLUySaOqUttE61rujVpPGKlmsu44h6JOi9u8hDfkDeqipNQ5v6rY1NM0c5JCqSfSTUE1Oc9bjCaU1O/VEN/gjdbifUoODERmXNa1J321Vk6nE6tPS4QfntL4fJIVe2mg7lFNogc5zyN6+LmL5n43dyiV5XRDXY/uX2q3Udb0PdGKsN6UvvfzNA1GpVjgrZFcukJPII+n05Gymj51mjJTjuZ4m/qMAzTr6o3PcZr6/nd/0AOYDSVhk9Bu9+ct0KIFXdTC8kCvWy3gvUIpZ/b7c9b1ZL5EPWj385acVrYNXAIt7J8psErz4TjTxlaazbGqS2b1YKt5Rbkn1D25sPOe0mScZleW0Wi6jEZzpFNycvQntcZAeG3tYi0CEGzcHsajqszqZ9plUJtGoKgGhoT5bsAkPHjhRV5+7VUeffyI4/HG/FOy540OH/F8AK/9HoUq0KQxT66GJ9YH1qqyFqv0FxeoyJINlfX/ddOr40xM8wyYipDZtqi8CgtnVI9RpCqNzKSZpNmR3urhy+0EeCTS9H1qlLZIrmCLqLc6FMekPyePScKnNnU0/nZynv1sqNrkWFuz6E/zGCASsTjDyWKNGKAYZ+HWhHsPlEPUwnyqjntVZTfPLOs6zpDfQy0Wd05p6ntT/T3gh3sR4m5FEofDwaa794fun+uVi0hstu9n9sNjqC1Akaxv0DtnUYb3tTgHxo9vfjfp7Z/enNftfKB/0uuTc+KzHXCbvjfQjrLaYKXz/RnLulgHsjsigqqRfFqZBH0GjocjDx8+fC54NRxyO5reghlbPHuebvDSptGwyxmZMTHbYE4MIjAxJEo8iFEVWhVUJ+OUepBWEbs/EUehzDIEl3TsIemHSMQRSLFm0QgshMT+bE8pxUvy3i8QgblYCU4Z2WxHWH+fEtRA+4OTnMhz5Rf+2E/xz/2lP8s3vvENvvudh5yOeOCuHR9SP2Dqgaldd3J1IwuONLqVb92jh2gaD2RsYHvE/gx8v+U0gs5Oj/XDbKotbvB1lKq6c/AgMWcLTs2JNCIAF0eOQh5RxJyEPTIPtjeOIe6Bfv10BGCghOJ8aTt6tRVDorDraq2aOoJu7t6RBhjBpv2AKZXgDkyZqNrY7Wb2+x2H08nKgH5dSRJnZ2d+Nkznulbd7Gt6YLO9F9vThtB2++zJdadG9b6KeG5+P77urTaurq7teWDIijX2NT9rz6GsaH9uEGVT9bdtxCEN9EJENg5bNsmBoU+IdevHNOKUpk7fgAjC2exFu4bsu0FkJJy/n6mzQFfR5pUrESYK93Y2B+Ly5sipeaOewGlZKevqPSAmD2hoKsxxx74fnl0e+Y2vfdtlCq2pSckgxk0XVe7euUve7Xl2c7DmS3X9ZowOk6Uxi6PkboZtDVZD7PPc7aUlwo7oae1zInqfhgqNicXtWE7W+D/jBl782VbpwU6nMSZh8oCu1cb1zY2jbMo8JaQptVSTWXwO+dq+wkFvgxZxw9HqmNkxzzPzfsda1g4IWEUxBuOEHwggJexhpRSbkUEAIJKopXK4uSHECragiBNH+t43m7e5ZgkKhP1m9YTcQMEECVNzGtmEO9ugAGyCHz+y4l/UOs5RiuTe1y1QZ7sml/7riYufnVrISdjtdtYP41RTpfYgMF63+0kMpGoyAJCBtFYDBpLRL1stpr6RTXZPqvdP5QQpEgvo9lS1NyaPSuAGrOs9Emb9BKPDGhUhBuSMwLxVW8MpZSSnviftpm77F1ED5RKKJmF1dG6Syj4nUiusqaEyUUrjBz94mw8+/IDleDCfL4lp3pkG93qitUKI3riHt88Jk6OeEM2NvM/kJvzY5z9Hq5nvffc91mW1ZmWn+tZmcYAlIVs2QCjbYZQ7cZqRT4Ct1ZrDGxOS9yRW+jAxwX1yJXWudBoccdmcxbDZIn2KbXwv4qBRnQ8Qzfev4ynhOzTFmWlh+XqAm+ZMThPr4pRhtT44keDZi1OpYmqvK+D5UDsR71URawSN4J06zr8vkp+NxN07dx04s/2LX6uI9T0ETSvijHimv1+ldgvARvPrtvrSaatZKDWAQ1+HOMvSu14IcYVtPNGfPcmbzRuGbvmaR1ylQFA7MSqdeJL5B9Oof/j1iYP40pUpbLGzN1i16qoMGuiVDTNJItBVZ+y1zcBjEeNCa/UOdYvRerZYNui3lRnGIBl7GEYdGe+1acrzQ9laG9J6wbsNziFi/OXJtJmrG3+RRJosu6o1NmDuwdt4RYDk5T78YLjTaKVYeXPTRHkLOWytN2D16/Z/bxGVLdJoFYuVVit7hP/8b/0jvv67b/Ebv/otjjcVbX5YJfsaeADm19rCmUmGXmFo3dGM63CjrkCKzH4gJz0YdaMgAudnVgW4ujpgjW6VQCrmyUKwUtaR4RId5xu0VyNxMievwT/V7VqHkwjdb3Gun94K2EfAPQ7EoNGIoW6rrWXK3iDkjzXCV4mH6vvchmsMabzx2ladshPkMs3/Hgh2TgJM3BwL3/7u941KY+7QEJAU9+olaJMQ6ffUkRdPvkLDdnvWqjvMlMZ+ij/N6CfWasG3igWClliEZR90LvX1DvUfC0Y8eepL0wCnSKmyepNcT9S2+0oiKYigI2y3r3hwZ/GGMKx8bEG0ozVhNDWqdSMwilJrTAbOPqzlfBb+9C/8HOdne/7xr32VpzeFCPUUqCqjYOMRkAEzPqsCQ8gWZp6eJqac2J0lyrFSa7Z90SAxmaqLriSptDyhdUbVPmOSxt2sfPbllzidFj68vKbNO3RKnE7uUMXK6REpGsKVjTIfztabEiV7VabZE8je8FxbZd7v2e33XJ8Wp2GstNJo2/J17KvNHs/ZUNNaWrehgPc/9IdJT9D61/yMiemd9zPn+6ifubL6IfMmfar77UTIvsVAmeEUjZ6nMnXJSrJRvLoc6CarjWptPE5LeFweEbMLEeRb4d8pBMUDimy88QjUbf+bM+7C1Ng+Cx300Tck/b5jfeNCtBkaHhKT4nY60L8IyOZp4my/Y12L+SXVTrvcAkr9+WlQWGW8lz+mlKyVPiWlrrb2M0IVhVapSSD5RO2w94QP9cptP8QR3hsYRvfLP5xO2zCgRFFruozAM/jZWWIg0AYx9TUYijQJ8kTRSmsLiWZgkVbOBc61IGXhSjI3DrgdD1ecTgq6ssvqCLVxlYODH//Fg4lnlGXqqk2tCqeTkplIsmO/25ETtCzAeBatNptLEomcqziFP5/nyYcJaQc5oJl2gtg+t0bWAlpctUVMHlMw9LeFvw2AKwJCdelqPzNe8Qr/aJfgNM5IoHTEHQkGdUVAmrhqkkcMyWIsrY3jzdFjrgDMjGJEyz222g4n7/MQNoBQr/L7KVENHyvdn8Tk8yTZ55+4VLn/0i3Kp8R7GGjT1cT6/h/0nS1YbHQj87HzPHdWAVgS3mL/jUPGqMgCEv7reXAXRhM61scprb9XZ1oAwQGwJCpCLTtr/7Uj8cbPrJ13p1jJUht9sl9O2QT6N9Zly0GOIDfoG9vXVjornPBWYsiWU27dmGWZdueDN0w3rk0LwQATTYwReJWU7OBoa+zmHWfn5xyWE3pa/H6dQ5owg6ZhcG9vxLRpzlFsbzetxMjecjy4UQXxA3nL+vp9JEmjqVOkN+f1tdsgmb7NEZTTSfntr/6Ab/zuQ47HE7VNJpsm3kC520NZoB6RpojMjmR6Y1MtCI2UPav1Kw2HG8mUBVrBq8v+tQkkc37nLufnd5mnxOHmCYfra8y5t46Q0SqsESDYIJXWGgdH/tDmzVvhYLcBn2Xe7lt8/w1ngFoTSg/yt/tDzdA8f6DtP1eOyMm56pY0GqigHVlQtSQwDHMvzcfZcAPSByOJPX91x35aV0pdaKWiajScqo4QJ0sWW7Ewvp8vR4/iPAQtCjEeZ9WBBsYZiLVKKRmNRy3VSSmcvNy6N0Nik+/eOEMtFm+zfuZsIy5QD74U2O92nO3PaAqn08qyLm7ELIHoJfJND0IkBaGaoU2p6iojYagVJI2m65Qnv+YYA+/XEufEx9I70uCJhtsRoukwsa7KnCGTyaJMahrmEJQw30YRTyUQl/w01FhQmbk5Fea5cTbbFGMxz4LUBlq5urxmUhtaB4rk3CthTY328alXXuNwPPHRxQ2lFR/uosx5smbipTq9RIi+mRAE6Ps5JdS1xZM2kmYSE5NCS8LaFF1OUE6cIxaUTpkq4lWx7n16shoodm807gmz28KNU97+Pa6rAxgbzmvnGZdiswWc6qg0zu/sOd/d5fL6mqV6oK5xThv4rI7mNlz6ZBebejzl5Im4/y63QYZtwGHBoVMLI8H0mDzoQ6aK0xC1hklV8RJ6c00pow0KeQAxgXBHAK1BURwl/ZiuXMoK2tjNE6UZNQOcboLxvVNKrKUgx6MDQInT6URtt1H4ADFExCfixjXQg6c4f/s589rLL/D0yTOOp0J1e2oKO4rmZA33HpQ0zOYExUf952gg2X/G+yoirG/uN1MWtDqwpWJIqzavfpiuB1tr3bSrcyoKPnE7Ev6VglGnZ0twBPbS+Mz9mX/myz/FLgm/9Bu/x9tXoKK0Vsgo8ySsa6Gp0YVKW43+1gyYLGt1G2j0U182rwgKtESthqa/9b2HvPjgBbcLypQnalV/rlYxqXWJyJRNmOoTbEdlOyICU4qximVplWyHDCGR1a5DUmaaEppaV9Mavs7tc7YG9+pDzKLZtEZvSVOTz3YKaMWVsNhMFPdHkVSZtJGmxClshAwWgDh0rwhNJ7KAJJsTkSR7Mu59fX5925hw7F26DTE/YNdrPjQCW7V9X6tXNaxHLsvt5vXkfmSbuHd7tLFRo2pl5z1nu84tXdiMhJ95GSBOq50sBarukwNgsZ+bJhOBqK7GZP629aFpqQMH2vc9qq4K1IObwUb5BK9PHMTvUur6laE3Teg1RsaRoKijt54JJhkDjhpYYJKsVCGYEzJhfCVKbxHshyP2KK5nkqZqYaVZ0zlvvugW8Bj6BxHVRPaZMONiCHEEghXKSlkStRT2ux1tLdbo00yxu3ljUfIACuj8rDgAkdL3KZ7CqDyoZ47evS6+wTuKrOEYpCdDoUYQ8m2BGmn14DMWXYXTqbAshqYPTfWJVz/1Wb74c3+cb3/zqzx699tIdYeEIV0qShJHR4LTHvzV5xIkS4ocrUM9yEq8/Mpr/Mk/84v80Z/5eT5+9CG/8pW/x1vf+44dwgSq1X5cbRAKBvh0uoyilLoiziP2VfT7Hah68oEXk+sPL4uVQ4NnaRiZKdeobnoQsMDvh8pTakHbbrKA6XBafMJnIJ/+HDe2J4mX3GNz6siuI4BGvWlOLGcsxRQzmtrvmqSdPzo12dXqw6mmKZNTpiyLc7/lVtNsyLpO80xdFjdEGD0FTyZ60Cv+mHzovFjykdM01kcY9B7fgzlnSh060+rPIkny97aExgA4u7L9vGPe7XlcntKWIWjXwGgxW9SEKEWa47Rc1w2Z8xEN4TBnJWr7ogY670lVxy/6MzC0fdss3pFIbCDZYYHf+L3vIkk4LYVVxcqzLXoyvBLnyX5KSlJTkbizn3lw75zL6yOHtSJU1rVQijl60cokQpqgaqHWRPFgFE/EQE1VWoSbKvzm994mIZzI1BYSrkYZa05FjMApJUE2yaM6/c/iU9tTSqKmRBNzflOe0CQUrZznxGdffplnNzfU/Z5Dqzx5etkBBREftqdRDpaxj53u0RN7NTvez2ZK4xn3LCjOxQbBZTjzCJ5NVriQ8xlTmii6Gv2oSedFm/RbOGS32R4jaYPVA0nbu0FxCPQtgCerEN+5c5dlWTidln4tEaSY4oVaibv7Dm/gw4NhbF9mScbdjkRPwGi56lvS1yDOiQiVhngQiVP4kiqiFSSj2Jqa60qoFldEs3u3BHnAXwMN177OMT2yy/opBgKo2XjJM5pMgSSSbRGbIG1+q5nilRl+4883mFNmniduTieWVkiau90I+VbizEb1JIlVoas/tziPdimdS49saCwALSrovhiikKJyPmEBSGO3g0+9cs5f+md+gXv7zK9+503euTp0xS8VoTSjqmj4Ct83QelQ1d6IH0a81OiFwOnBNtxpLXBzvLbJuE0pWqlNmXYzn/n857i4vOCDhx90wYZ4mKpKXatVX1Jy1D4kb6VXzm14lV9HDlaCfWV3doa2xnJa3PJFw6ZZ03UZ004nElrNblQH5KYkzA1yLcYUE5h356wKS3Ef7YH9hPLK3TNeeeVFvvv+QwoJNFPV6lWkAGWziXhgA9K6DXH6lLoow/MADh5Amz3x5u+ImzC6FOE/Otqdek/arequ7+/qVfhedfdAuPfkeXNv34NiiZT11ghLrQ6QhIrb2JdRng1g1Wp57l8CeGpGVzPQxflJPSYIF6c0GVPMTYEubAQdbOgCKbcs5x/8+sRBfMo2KKhFdinW/EQvo2nf3LFQecpotSaZCIoi4JUwctjmsUaHyJgMDcATguRoqap6EGU3Zw9OeoMh/pANuR5JgHpsAEY1sUDQNsOc4IUpc6onpFaYbCJd6/GeofhZbKV7ySWcmgRSbY7DGnwTKQu1z4pzild3yPa+P4yy+1q4s65avaQ8ENKQsQw1kNjUqB3hppVpyuzPzrh//wU+/+M/ydtvvUXiDE2WGGRMatF88chUg5NohtWeU+it3xq00wItU+Z55t69u+z2O5a1cDytJrsVicmmQmIH2BCji4tntq9ShKh01Cgla3Ktt+gxtl+SNwMFIqm9+WoEi9tAIW3Wrnfn92vLnJ+fk1PmuKyxs/szHVJVirSRsUceQ8ScMtSR8L0w73bcvXuXZ5cX1gQUe8RPtwVozeMRW/d5N/PCgwcspxOXF9eO0NHXYLvHnufyiRjtrjndwuY0OMrjaHCvKgRyGkbTk7WcTUWgtjAmrT87EWGaZlpbWVv1GqywLIWLi0tSuua0LmypBMNgb/7t99KareWUlKbZGq6qJSRtAs0W2EcCHM9TEoZqB0rrxk9Soo9srzFYZ8i12rAkuDytsDHAfoHuCCJRCIoWhuDRmM/OePDyyxzWj2nLyYM3D9KBJI37d+9y/8EdPn7ylOtDtf4adWfh/O+oIzYSVyfrg2gSwdvoxajFB1nlULmiB3PgcaGvaQcuNPaWeuJT/ZOUmmChsYhyfbg2hI1NJaSF/Kondd02+6CmalMGsyPk3VfGXnKbGL9k1Rq6wxq9GmG7/NoETsfCk5Px2iXvEOpouJNxz1sltG1FtLXGtKnQqqrLzTUTSlAl57GHi/dthT2wfS7IZOehtgY+3TQCBhNTEFe/aX3/Sc4gVlUy9JgO9DRtNmPBFcJCGQqnQdXm6GWyxLco3cZZf5ADJzqq04r3tXiigvg07U0Q1BFTBsoJyrIUHn74yO2RVXVqcxRTmgNEo/ISiU0SuHf/Hq+9+hrvvv8e5eYK8aRZSLcCNEuijdMt6pVv8XUcZGW3U2ZGRM1f1GIAReAvKWyUKFNrFpz7vc/ne+4+uMf7jy/4L/7Bb3B3Sjy+OBDVj5wyRZsDh9L3czSThj/6ITEE/7q5nGF/kyOqT589sf2WI3SyAW03hxtnJEgHJEIMZCuScEtJL/TxU7Zg0ikkoYFk123/6gmcx029v44AWuhorunxGWCHNp+K2kgKLz14gOTE06tLn6S+ScZzYs4Tk1ZqUS4ub6gK8/k5SRM3l9d9bQxwW60HiISwN1CqrTSJSptaH8AmaAc6jUVk0GeT34Ok5M3H9PiIiLP6U6RXJkNVxijGhTADVuWeiBUKn1575QiTj/bY1e4qdVaArb36NUalbCQP6mcDrw740bWeUd9ncSZEktG1A4AKO9CTER1+OfnAqC0Q8oe8PrFO/Je+9EXjxYtpr2ZHp0e5zZUFGA4gxpfbZoubS33BQi9V1YX6o6lNBi2mZ3FCB3hiEaJE2XVXZQTG28ChG/UWaJ0H3sCr98756U9/iu+//y4PL69ZZHL9W9v8TU3eUISOnm+VW6Zp6slCdlWDSL2s1LrVomU48x583aYf9a/F1oqAdLOBLdGzDTEQJECqNVKkiWk+Y7e/Tzp7wM2zp8jxxqI8OZFTpTWh6oS24tQhR7GRXjUQpCO3dhEeVHfeaSLPOx688DJ37j3g5nDk6uIpZTma8WkFNveg/TAXaiuu+T44asCt5xqe/Pz8jLWsxilUiObm5ImQ6cia3vUo60fiATYcJDlfMMqCjSlN1m0vUFwnvQXaQASPljEn5wXSNmVjbE/EgJy2ydh308zdu3e5vr42+oCkXongFnUKVG2d5nlmt7Oxy8fT6moY4z7jT5J0ZwTWuX92dsbpeOqDLvDgXLHKTOM5hxVBWhSLmvGgk6Q+EnobLCVsKmMMeyG7kVavFAgu8efoSlRVNlu7f66KB/Egk9EWpFZmsWRnVUF9sFL1ZruuBCTaz2EPHtsw0rRR8uxBcL8A22ZVx7qCkMQqIOu6+PO3EnYEHYnKlIWz/Z7WTPb0/M6O2oppDJfGnBKffv1VPvvZT/Ot777Jo6fXHqhoTy7CpgF9erVpWkd5d3tfFljGLzUva+eAfSNu9ucbYIUlyUEfceUXYE4wTUJpatXFZoFO8nkMVYvbmNvBsDns0dsU9BRrYBOvXkmf6DrlTExhrLcqMHQ7ELStmPyZ1Gh59rwYgUqLZ6vdJgypxtxtge0rC/C8Y4LdbkdKYjYDJaVGSjM5TYjYkLU4K6oBEJhsb8NMZYo18MTUAjt7NqaAF+dk7PGU8wgEVW8FuHEeppy4d++c5XTgxRcecHFxyfXNkRbN0dh9SdQAFFKaf4jv3nvR3H/2IU96u18nUEwIEMjTNBlNtopJNDanpXWtdUDUaHMvv/QST5894+Z0pLlUq6i4MIQnDElcHACSVxa2tuQWrbFZP11WA66K3SgxWFJkUIxSM1UpBEOSdzP73Q45nrgvcIbw8VK5Qale5RsBrqG9AVKcTkdugRmMalLf4+EHPd7Y0sFUjfK22+1YS6G0QtfzdyleYjBkdqpiU18TsynR/LqleYSwwzYe6PsHfuj5dnsuFmt5EOBkHKHUytoK05yhNfYNXnpwjxdfeomrm2sePX3KWmGptYMg85SNdrsWmsCSIM8zuSr1VNAk1j+hjZQqpGLVUj0DElVXKqvTEM3WaxsJOFiS2+q2/838SCDTUSWhhRSs3U/MADKVLFuPrcqcnY/UaW27nc9yqUtfz23FUOxADBDYbUctoaS1AVd9D+fJ3jvOV5py3xORvAe9XJv7Lr+HbIif2dta/FwPux8V1xY+HuF7b77JH/b6xEj82on+m20SKImyKSN4MxZedoifiaq3Z+WtjWDY33T84Z+z1U7XvuoDkYyFNTmsHx4yAuOhBYrXNBEjtE02bOXq+soaRZtSxAKF4Hbq5n1DA31rjLr0WxuTDztnWgdaZn8bAXwkIpFRwuZhurHeouQRoKBqyJivYazzFonDnVpZbliunpBKZWLHfnfO0pSqi2lnI5yBDZRJmVDKUTH0Ms0TOU02CCIncppHeVotiajriaePP+Lp049pDUc+I3hK3sBGD1jFT442pzb16zVOfsKTwWJB5fmdOzx48ICnz56yLN7cgitKxN4CX9eREJnzqN0ZJsk9GezPIClLOYEkpnlv6+k0hp5IOLKTvNu8U8qI8mEj0TBKfex7OC4na7RVhTrKt8RjxPZWFpi8yqFr5bAeaeLNZR5q94ZDRkK3m3esrNRSKKVxOCzukCfryfj/s/bnwbZlyXkf9su19j7nDm+ooau7q+dGgxgJgCA4iCAoijApcKamoEjaFCWFQ1KEFWE7/Kf/tR0eFKFQhCybkh2iREoKC6IkWiIBQiIbJAgKRBNDz3NV1zy86c7nnL3XWuk/MnPtfV83gUKED6JRVe/de84+e6+V68svv/yya+osSUrB2AWoilM93jPZwylrQOwJjAVZCGmOxOHRls9YhpBo5LB9L677WCy4GXAdBju0Wi3cHwo/8sF7iApfeOMJj+aBNiy+HuJ7bf3M4xAzmUKUUrV/bmc81ntIjWkdxxF/mFg/BqgkB27O5DvAbbWiCNNcPQkIS93QPZrW/NH5OfvDnqurG1bhyvbSqlrZ5XeS/doiwmlfFxYrUpfPrBl4CNLDF1JTtycV0lLMd3LBJ1ImYdcKIoNJTrTfKoZxsKZ+lzcsMYu+Ftbgq2dFhjg6QFK35qxUL+2vpGD24IjlZwlhYp7NUcT6QUzXL0CThMjW2cXpO8T5hmD2oOHfjIOk1vSWaUKSfgX9zHnat91MC2yvuLCFQc0No7SGSuqETkrutqZuWlAXJs4Sz+W9g0lcN2bj079zHji9c4f9/sDNzZ7IBpoE2eFrMXS0/fsssz46AFyRV+IJVoBRcce0aFSMtRNuVqnv9dSfz5pcUoWb3c4BUYXkFdGn1ohtJe04obrs7TsRVfESLEEwH3RlbpWUI8m06ze17BHGUc8Wh2rj5jBBSxwajGqdK0E0tfUzYUn2orIYZ+fTVZ31tYaHfPxcPNdhGPr36oRbrQsphSeC3gzcm7Sd8LHPX7o/1WOSsjDO0f/UY7bg653O8N++9z7YsoGswPGQFpyRUuLJ9RVtsOc/l+LSQf9MVQekFkmssVaRUkmlklGrGgqOOLYI2/7fdsQNpKrGF4pFgK5q8DOslOJR3b3sW/XHtCQp4zBAziY1bQspE9/f1q/AkDr7bjH223FhfO6aUEC8pzPek4W0aH4NkT7dIiJWMscgI1JasGG8ecwX6fUDdUAvyjI/Qvtzio1naMXdop4yH/gnvd57Y2schLAsVGfhxbOnBp11errc3+KA1e+0ABdwYhjPbtB6WMXa3ixuYGRAt/RWcOv945/rhKFr5JNwvT/wjbfeojQomhHJXdMYvuYpZUipd0zHK0BBHFStNcvUCJY8jg6IxRCNsOumr36PV9evaD8skwP0WGTrxRJl1Ugmw62oVjtgkhY3Oirs5gMtGUDUlNm2xkdPNlwe4MHkJU6xAC058cyzz5DTwKNHj3ogsk0i3arTFueMkDjaHHF6eo+Lq0vmwx4DIuuFqN7E2Rg3g1VQSiUO4ujZspEtA4gwTTOPnzximuYOaHoJbjCd/PrAvrWefH0ZS0UHtikLd+/eoZTCzc3OgI4z9HgQXa+ZzWbgzukp5VA4HGa3DHMgpkJxuzIBL3vbUy+1EJNnW2uu6/cyvOPdjHA8jqQkZnPoh2345oOBuqZhVWffI4JTsB1zcVeoITOkI6bD3sGgPVe//T3R+E77w/ZsODCFjMa0+sPoUhsVaqnUufREtWuzPbkzVtQOJcfIC+5Tb15y1jN5TnYvJX78Ex+h7AuvvXPJo1lAU0+gFgywsHq3GT5uJWCRKJdmDeBW5ba/2+TBD0qvJIh4admSY7OJ9HtVZ47GxL07p1wdCjvXUu/LnpRCt5sgZW4OM9c3e9aNmYGK49AeXLPcsAFP1dd0Em5/j6aevETlclnb63/2++DPqzl7a1UEX5SELn0AFUZnsWkmVbDDvLkjDZ31jxiz9pmO7/R0JcR/1DOAVYxyzK8scbr64CBVT9LUmutygq0kpDWmJBSApIHLCNtdA6kQ1U5tlkQn33u25mMd9NXe48YaUBojHATUou9NWhly4vT4iKvdNQd3Z6vNGNNpnuzzcV0r2sv7azAcwFaQ7nYxTVZVHMfE66+9YbFNzYmj+f0Itj3JYMvLq0JrK+JY43kcaKXeGm8f52ckeredzlpfL7YvlrWpZFozphnc1s/jZnVgCUawNa9oWXyzsyHibUCjXvFbrdeINwGy85Ao/T7ZMxmzWzc6N2CiMAs0qqDFyTYS5qZfO0ZI2RpBqyccm431zpl97+17Edd22+raNNZxrjy970zXXm3gH0b8iCdpfe3rSpUgi546zvUYsBYJ/dp+WiP2OCFiGMvkT5thpMzFpMwe55pWJA3cvXNCmRv76xvz03dZJSKMXmKqAo/Pzj2hCyANi8TQzwOC2a9kbdhYPNuIllSZC9bIgGyEqSwSqsRocZ3qsV5XMcnvj7A6lyN4OJnHbUyIGIGzVJkjKbd4FclkzonkVfnWbJCV3fNlr+cgKm89/yVRMywQ6cTtdfFtpiqq3qRvaVutEfBWUly/ziShOFgq4pFYW0/bkvA9vSZ/s9d7B/GqXaPWD//IstdOHfElffvmtJS1VC1DW2+ep5ltdXanNdtEwb6tf66Fx/Et8LHcuHBDePqwSyKuE102TyFz5WXrRkKr2+z5weAowjZMtmaetTZ5zQraUCeTOKhGJ/htwP6dQOb6Hn9Hxmu16CLrjmAaQMnSXSWkJlCAgSYjKn6/tEA1Z56SlC3K93z0w7x9ccXDNx5bFupgszVlOkwg3sBbC0hisxlomHe0HdC+QRWUamWiFoeoYxhPylrci5ZISRHNDNnW1XawvolpFtOJS+vl9DK3xT897hMLm7I+HJ5mfULSYHummRQpub+8hhtKQ+fo52C1Fu19aq021a0YKwfGqIREBUkM2b5n01jEzkypLaPQOtZaSXlwfXxjzIk7p3cYcub84pI6H1zScnv/5QggDgh6b0YyvwxUkGHgY5/8JPfu3ePLX/wS+901tRbr5FclEQmm3vp+twNVsFLGSeQ8cHS05SMf/TDve//7ubi64bVXXuXy/IKsyzjssA2yQ9jXBNHzoNB7OfzQLw1r5y0kBq4b/L2vvESZZs7miuRttx5tzWQhJtOIhj2lrfaLVZFMArcOuCEQEV+rvZ/Dk6CUnH1HTOeqsx9tza0DlTElTo5GdlMxWJ1tONZ2HNkcH3F5vbMpySlR6+zH0eIcFIeDiHDv3l32+x2HqfT73WrsWfxemcQHpVfjvq13Rm9LTOK3+932+FZrdDH5/zUleRVGRXtcRhUZfaKvg/jm+zrAQgc/vp4D9K6fa2fYRIjTsB9MtjmM7GhCSiOSG7TCmJUxKSdNyRR2KbOjMs0ht1yhYo/lIV0UWUBzXEswroAnaPF33g+1irOSJPwZSMCdkyNSq5webfn+7/9ePvu5z1Iur7tErPn5FNrVdQNaAJDAGp7SOsBe4n9yk4NpbrRmAFXdNae7RKmzghGXVjEhzpJhM3J8fMx8mG65eHTyzK81RZUWzB3JQdtCAAUCBVozWWbcb+iumtFj1Grj6OiY1pQ6t35GLxaKtm7M9tf3WRwI8R0cwe0Pk9du6G4jBqSrVQZzQpMDOG0G3hwwpZS8MTg2uf1P3Bkr4rmIMI6W2Mzzkug/Dd5jX60npgdwjH1YazXZXoBT/159qnrOq76diFHSq/oRL2M/W69VWoG2UAIYQWC4Q5EqyCjej+I6cpoNmvIkda6NWZyESEJyMiFJ9FrYGRUSMWttComW75cW8cga8TPK8TgCjV2LfpXK83cGnj1NPLmeOJsqqia3VClUcWmMV/yNhb6NeewfLhnzpdYd3mrtFYelUuJxqjPuC1FiAgD1IVSrdeZxIIw8sjgO8WpqSoZpbGkVO1/jV1exZB1b4rUkFLYWJX4JuiRNRHwT230dhtzXXbhC2fmzVGIW8P/eXu8ZxAeIEGcDqt91XYGn5As1GHnUWZ3OELmUoC+ShU2z22DZd2iUmje8xNexhR1APx49q82w3gjc/vfO/lhQiMOOYSCPG8pcTS+vGHOtDpIkdY1pTBWMEtrTzEIWbxBas1Ssgcaim4vX02XGeO8Y+S0i3lS7/LwE7etgNu6jGGqy8pQk0jAw14ZgUyWjuUaasYHXLfG5b73B1G4fROqB8vrqyjJmz4ZVK6U4SFuBNrvXlWk6UErzzefAIVnS0bNtL7cnlKM888Pfu+Wf/d0vcv/OFlHlMDd+/SuP+bnPPObJdUXzgNWmOm3Uy792T5d/X2+4tVYOnAXTqAbB5eW1f1db1DWaQdNt4ARhi1eXZiaxUrEC4zAypEzSaixJbRyi/OeBsWFOSoJp741px5PKxu5wIKfEXIsFvZy8lGzBRtZbOkkHozFMhKbO8sN+v0dSYi6zueFEUFh5Fvd11NdlrOcUGMmqJNUSsfe//wX+xJ/44/zxP/Un+dXPfo7/9K/8J3zlCxdoNZY78EH4zngvX5fYWMWOzjSYG5UNbikqNBXONPNrTw6gwp4RGRJpgFZMWysivRphjLsuBzcLSRBroDlzKnEYJWGzOWI6zFTXKpoTVLx3A62kNrNNBmEOamsl58zp6R2u5oF0umWeC/PumqaFWtR05h47WKIVwfwH+4kIN/ub7likvh8tCVv2MShmeRog2tlDT9iFpRrV40cEfoFhSBwfHTFNxSYaqkD2D+y3TdC0HKEJq5AZy+0aff8mURHtdqG9kUJX4C14x9XBq/RDNl7NddAGkCZECjlBThuePU38S3/4d3L/zpb//uc/w9ff3lFrRjX1tRskRqzNLqFbo/inYkHH/0+t+1sETJTdW2N/syPRKNOBr37961ze7PvBb0DD5aTqRQiNCkqEh6gMLwBRnUwYxrCtbC7txM9Q67lRJ6U6OeJxvnqzdtxTY8LNm/xwOFDm0r+vKrcmG6+TGhG6NtcG1dQO4koxdjY5SZBT4mi7RVLien9DF3wpJMkcHZ3YJN/pQMomTah1NcF7tT7TShrWVZ+e0HWnpX62GonRYq2iaJqWh9isatGfgVcBJSWXzKrFJl+DMU0eHLus5E7fCaB9e7UmQOOKsV2tp/XeWMi31ZlkD62/b06pY5FgXOPT4uy0X84g9tyPNoUPPDvyiRczz56OSDrl/LLw+sMDbz4q3ByEabenFMv8soS8ybBAVUVTMmei1vwojWfpWC0SGDu8ac27C1Q5Ptrw7PPP8vqDdyhlz/HRht/zY5/iw88d8elf/CLnVwVtg60QaUbCSe7abptHo30fW8UqyAFLvNaysIgVt1zlJIA1aPOY7THPmoed2Rbv5+hxwZHiKnat+zEjGKdwtWq+hlbPMF66eo5RjY8G4vgsWw8x3CwkbOJTaxvTZEmnJO/Lki6kJA+ZWrT3s72X12/BJz6CQuoNNfEFjRHyxjPPZET9RjV3x5AAc0vJLG7munRrn6XGYvlN6w9Sl0OAFj3ct4OyZVYbRITJp4Qld0NozuZ6ggvExLTBH6L/vVQHYBnxUcjjOFBqWRxcVlr5W+A8LSCptmhqe8recHXf+v1db2i131l/RvxMACyy0EJOtJzPzoP5+9ViSUlKSBqQ7X1aE3R/TW4G8t7Ym2dxU5Ccu/YZ1BuWYnP702kVdZajObOtQFNj+cyU00rjtoesFGhneaOqJTp3N4l/7c98mJNN5m98+jXeeGh+yS88M/DP/Njz/O/+4nfx//rpV3jtiTXI9T4C1S59icaTqD4sZ7lgenh84ztLmFJnpS0TdokLsQeXzD4+Lxpi8evvwzSICYJYqbIWhmLNfUUxmzww8IQ3fXaixUBdE2sCK7trB9sxaGpJXAOwBrMSZVt1FiP5s2neRPzGG2/Y/dDGkOjAorNWYq5JIXWK52KJbSJ8oDtgQmlayUPi5PSYPJqrBmJOSEhUJQyEWE7V2B5tOL1zl4cPH/vXqPSZAf25wOh8UlXYlxFNiZIa0gptFrQFC7M45dxuSvPGSnc7MTY9EjC1vYSyGTY8/9yzPH50xs1u6vtqGEeGYWC+ukLLxLN3tnzfd32Sl157i4fXppXfT4W3Hpxx9PxH+b3/1B/g6vKCz37ml7l6/C43lzdUacTArDHZPTg4gyw5u6e2NXI2zZ6k2+HaPJakPCxngHZ+G0nCyfExDeVmv+uJQQpWuFb6RF9bXGzHDXdPTrlmzzTZeHgVW4uOCfvBYQeMeVLXUmnOnkcSbPK/RS+7fE6cAXJr33SSIxIXbsdosAMOzA1oEMhAbpmTBL/z+z/Chz54l898/st8860ZNOw+owerElMSc3Y7Yj+PdHVNS7yM+GtuaX3oT/t2siViyGGaSAKzJK7ffkgTULFmSWN2A6Qv+0s645niDwxkrl1lqvc/ycA077tzSgzbiyCrrVhrWQTdlZMbAlGmEycByn7fpSi2V2pnAVW1+2qLiFsm2ket7XJVrYcp2HKzGDa2Mm9GxKVCtTUGsZh4dXndk/84/5q2Xm1f8ksfvIb3ufkaa82ItTC7ULu5fs5g4CgIqorJMkRoWjzxHCxuJW8BluV5R0N3YBKNz+tn0m05XtzPZV3Tq0/DsFm04vGzXeroiXEWazoHNzKQ/jOADwhcJQ0rMNgrmZ602Ka0Z37/uPGHfuw+P/6jL7Dbzbz61jVnl425ND7y4S0//qPPcf/Ohi++fMHP/uJj3nniHldppKkZKijCXL1DJZs02JySbk8sVR9KKU4EonbWJTLF3WqKr9nNdsvpnftogn2tFBKzv9eQYixbI6WhX8OSzMeZFWSAJb7DMCwSaUk92ezPxrGyuiuMtOSN5GosuhNwgROX/f+dna1ysp63WhaJWqt1IY1WhIQlJ6tr9s0Wzdu1OjHnl2xEqDKkwexcEXPwmw6LPFFs3URikpPNvKC5TKfPNfqNX+8ZxONgEF1R/qtFX6sz8D13xpn0Rig8copNuiqFxANajq2e0SyHVYemC4sk8Sm3N+AwDHzoQx9CVXnw7rvsb3a+OLUzSsbuJ7PAnAv1sGedaTdaLzVntQAYWVrYhK0Pss6KEUHCrscmJCZsHHMkGblrI9ewfrkDBqJFUm9I6oy/31NF0RALYjpmvAlISIzDYAd3U4aUENlw5/kP832/5w9ytdvx1V/5h3D+FlImavax0MGixRcAA2qrIUqWoaeeoPSVrDiqXEqh5uEftpXLj2URBhH+wh97P5fXE//hX3+XmZEk1uj2ytvwn/zMu/yBH7rm3/pzH+f/+le+ydlN7gxQvH+3AGzVNYP2vBrZy4vVgKM3A8UhS1KSH152T83vOQ5KcXTZakxHhJSGpczmy7Opfds6T4gooyqn2xNqyhyubhCxoSfRMY9Yt3tUDkKvqAhVLOiJKC25tNzHti8LxKsDnX2woFhr9ZKoOUVEU2SWcIxyj20PTHbRun5bZ2wCkQjDOJhbSzmgrfL48RM+/fOf5uzqkq9+4xu89eabfZ1XrwjAkugUKqVU5rn6frP1YdtaPHjZoVuToLXYQEHJmJ2n+qCYhPZEzQ9WkYgC/uf+//w5jdsNbV5ZpfqePMyFx0/O3Ep08R2fy+xyOUsKj7YDzz33PK+/+xiublDJHKqQysDz95/nX/nX/1XOzi7Y7wq/+g9/HspkJDcKzRk/b6LOKUMyd6WUEtfXV9y7d4+5FM7PLzrhkcORJCQz0Zsh0mNCVGOCNROPo6HlXh+Mh8OBJ+WM4hatKSdqOEv5I9C+I2FIA6MkpmZtg/Gh4zhyfHTMYTow+RAZoB/8EYfjChd7vUYNRoqozzjfL8uRkzlCa4E0g8BhV/n5v/vrnB4NvPLNJ7SiJCmomO2gEUN+8Lps5H3Pv8Buv+Pi4srWYVsBo0iGFYbNyDiOHA4HeoK6CkxRkVFAq9AQa2b1XRGJ9OCl/OYOFPhebRISkoVFk8HIrVbizFIOh4lxM5KHEdXqciivFPszlOwinJiX0AOBnxmy/Hc/N4VebYvmZxHTAMeZGWdkjWRMFmBp/z4QriOiQqsmrSrzHk3JSRB7ng2YphmR1Fn4pem4Q3K3C1SPm3ZtfWAZdPcZZLHvFdvoRJFVFXLz5D0aJERpOtsKG6JbyBLpkBza7vfkDJf5IB20rXFMEEBy697aP+MMi/PiNlPvTHBdBjWqav/1Xh1py+/EQLtOjsWeRog5GCPK7/7BDf/y/+yTfPab5/x7//k3OL/JTJqpVcjNLDcln3HvWPl9P3yXf/vPfYy//2sP+R8/84RShSFljjZH7A57kpvmtWruQyqCpNxlamEiUmqxIVbrJFeE63ni6mJiTkb4zaXyK7/+dephz6OLRk0bi9XNqviDx8TkzzdMf8MNKdZuJzg1pLbNB4EtBEFUCCTZGsnZ+hYLakPWBEPPBA7zGIqf3Sy9JIvT4UrmhOFBqtusJiyRzd6XEDFxdR4v38Hjckh8WKR/stqiqtXd9dY217E+lJiLM7vBSk9m38PrPYN4Y6Tj0F8y1Tg4QvaiLEEBHHY3dfYFIuhEc9d6E8VEM7Byt6pJGJprPpegQ1+ISylKPJmonJ8/AYQyl37QdU0n2jMnbbY5owvdFoA9mMRgIAJjEdpUlofvD0c8WKo3ecYkWvGMEZcN0K3i6KlIPDQD4f7n/r3EUBUgjJuR5599lsPhwMXFOapCqHGkL1zzao3yU/ammereznJ0xPu+65P8xX/jL/H48Tn//mvf4MnVE7RMSGuItn44RibeGs7upKVS1Fklu3fG5vm1yHKQxP3Fv1884yGBSuN7PrrhYy/e5//8/36ZKluOxw2nJ0dULex3e27myj/4wjUfe/GSP/i7nuNv/IMzS1pEe4PQcoCZxCq3Rsswi4AKo1rZsmpGtJJbZhRh9DHcuyrMurEyuSia2qKdVuz7tdQZLenPxYKxyRKNjZ5VSXlEhhGVkXw6ouVAnfchyreVlIxFKNU1i80OtBhCYrpFO9A7fJPQAC5rXPw7miOBe26LH/zOANhwpEg+vcpjNjn9dYuZiP4AX6EaFnIJkMS77z7iZ/7m3+bJkwv2NztrHiKY0AhE4bKUOcyNw/klrQlN3bFIeq5pcQNYtDjamxXRRsYTWOK+uC1nHPMe4VJ8Dww8TXMxhwYZGJIRWlVNK1p2xdZRg5RsPdU6Uw+1uwc9uNzx6V/+dQ6HiblldwoZKDKAwltvvM3jJ1dc3xz6IJWEgppXt6RszbR5YHuyJSXlwy9+gGEYeeWVV7i5vmEOUMAy/yL+zyQBq1ihjeub6x4/Ip6JeHm2efLXzOI0ZQOek/cT2YA5r5JqRb1hzeKMSQuqQKsupYqqaWu0VpmnvbOazVyAEAdYqbsmyeoAjUQzqonQeo+HJWWJpGrTZQebkTmpVV4eHYSf+/VXSChPdpVpdZ5ERbauCJOUBk5OjozdcrQnwsKGe0w1Bs0Y9iBB+vkV54MsGuqCS3aaVXmySJ8wGuW0cA9ZR/XYn12cqIptzagmWE9WrdX85VmqHUsfkScDDg5jS3ZImZ4GitqlayG663JGP1S6bECWqoAlhHEe2u8mFKSiaUZ0cOtPRcT7zqol1dUrSMu0cmuKrdWnTvdT1J5FS1HZTMs52xq1VF+vntjLIlHYbrfkbLaa02GiToVweIHUsYijP08MvJfAtdPqiVPINqLBOIYJra+n81a9quCncwNd9QeIh56wgwx750gCgrGVVXyFkBYuz3Atb1p63ARobDP86X/6WX7ke5/j//7T3+C1B8ZKb8eMyIY5JTOsaIWpNB5cZP7G37vgH/7qGf/an/kYH37+iP/0Z96g6obCFpFMHgTxGSClViOhVtc5TdNCDITdsjvR1ZRQad63ICCJ/W7mzf05rTTmJog0BomE11aTJTwJxapnEjEvRayxuQ21VSN43UZ0yGaPmYaBlAdKqV6ZWZh1W/s+9E2STbRtRsA2nwNgkqs4Y3pEWBE8SwIV0k9N4Q5j+z56SvB704nrvoeWJAPcWEGTK1NMlhYJ5LdPWw6c6P8ty3+Hm9l7ef0WmHhxEHs7qw+gZlRa3z9+IYu3tKoiLr1AFcnG2rcARtghnlCsDynAoGnVhzSQ08JMtViFvvDX0oAnT57Y57PS4WHTxPphuGJiavOKgYOZAN0LL6Au6Vh+dwHv9u7GDsuSzDTtZZmUBoZxoNTaO/xVnMVUtQWoi5wG7PtbE+7AsMnM1RrnBJMIJD84LQhU92XFg2OUfZqXe5TLi0t+7TO/wtmTc3bXN+6OIQ54IGez8hrGgZSzsSzuspG6fKZ2TZkd1ixgyp/FMim1dvC4Dlaiyj/1Q8/zS597wF4zR5uBj3zk/Xzquz/Mbl94+Zuv8vY7F+znPZ/+lUf8m//iJ/hb//AJsy6A2paQh9ac0epa/9T8k5Ux5hFhLF8eE0e58Ts/8Czf88IzfPor3+Tlw4z5lTdf3suaFtdzhb1VuAk0MfC+QTgaBiZtTAIzyuObPdt7z/ETP/lHePjgDb78uV+m7C4p045WZmJoy4D4IWSHjFVkfchMAklqwEHcs9333XLvQ+8fmmbPAlskk6v1FOnAUyzCWhPY947TnfN8cNBkfu6H/cz52RXX19fMh9IBY6+IxAZbuREZOyd9HSxJrC5sKQYaLRlXqNXnA5j8ph8Fybx/c0uLDzOu1fbDtFjWCc7g2w2ySg1ZaL7fkyZsymQlZ7v/Zu9m1ZKpZaZ97Y29FuOFwzzx4J23+ff+b/8u+6nw8N03qOUGtIBaAphkMNlBNdCz298wJOHRo4cMaST51OJSzA5OHTyqPAUkYVXtW8sNuR0jPA6JGBEVFoLZk/BgjyMRVCpJk1euPFZnoYQmzgFoFvdLb5XDVP2vfC9ncb2+aUfNYtWPNBED1w7jIlETB6dZrMKZU0JKg7q3n/F70cg8OOAHp7ikJDtwp7stxXo6TAfeePNNY9mC7V0t9VoNUFlVqUFMp8b2Uk5D70lY2PvAU+aSoy7M7s46Pt8hRfMmiy5fPVHCkzE7v1oHucOQ0WLyNK1OMpTwdaPvneVs8sptswQ15fVsFdsfCyRf4mJUjMUJjl7dFogURgIL9wngQcSYfGrwODNHl99cSa0huaB56wmQn63arFnU44Bdf3N8bYmQ+n0a8kCZF5knLuHp8isRtkcbvud7voc//Wf+Od568y1++r/8L7m8uITZQU4yYsKIFVvIllR5fIO+p/DEwCbvVsJ4wvp/6gq8L/vJ9lGQkCsg5X8fQCgPmZRtvoSdFavqjixrYo2XFuZ1AZPx2dED8Cd+4lm++6N3+Xf/s5fYHTbknPju9z3DJiVee7LjJts9Sz6QrJLYT8qDq8K/99Ov8Jf+6Af5S3/sw/zVv/UO02GHqA17w+U1kDp+yikkdtrd9+K+JSfdxJOHGkx1bS7Rq2ZVLULCJMg5WwxAhCbV4rEuiaywkFSKx6gk5DFT94WT7Ybj7RFnlxeQjaiY5yUB0KaUNvse9PXXzCqz+QC75JVhVW8cjeQkqlo94fU+TvysA8SJrzifYqATnljHsMkGPqhwwYBB4MZxbMl8SArj/y8RSv2ORPKEn5cm31uxbb/J672DeJd42BTNKKE7mF5lKDkFuAs3G2dR/MaGnn5tFwjOMCh9E4gsWnPxpqw+6SzcZFrzja+mSeqMZQLxSbEN0mAMS22ta9S7rtIdLxbL6NsjgsUSTyIZ7yBFFsFxTMiLJp3kgbCD/gTboy1Dbdzsboy/1GaZp9jCxDWNSxCw7384HHjzzTf7947NYExAJZwM1k4tlszYokgCzDNn33qN/+av/FVKm7l4+DZa9sTFxVh7kcRHP/pR3vfCC3z+819k2h96mUhSInObXVgAfICm5Rr6Er0VwAQovPDsEf/oC+ckMndPT/jUd3+EP/Wn/zD7/cxP//TPcnFhmr8nVzs2w8DRBso+96QpDimzRPOhMNLQemCQShGlYOx8Ts3XVaWmmZNt5tnTI4astlHEfLRrw3oYkpUZ+zZsS2BT0z6QVThJG9539z4X11eclz2TwK5VNtsTPvbJ3w4yUPRXmaofB8296tUCRaVRRc1USNSZCkWq2XDKmEk6oMWHSMly71srPak2dmCpcnUdrAP520Bd+/OKZr6wogs7tniPPhE4CbvdxH4/mW0p3pjV3HkqmCYWlyhjvYKNpZdQn+6JMekIt5qI4u/t7vuerzDm5E2BltjnnNhsN9RpZi4GNK1p24BUdVA8pESLa4gyZVKOtkfcuXPM9e6GuTRK1f7cLcTnZa9phTpxefYuu6tz5rnQ6h7KnuyseFNLimtt1KZkMdu/WQqPHjwmyUBT816WPHhwr7cGIq11uiH/G4bB/LlXNqpr611QL9pFT4UyePWl1WagO2WERuRScUBVsO/c1ITpLokzC1l//07WxL5eGvPVqzeqi3NZUFxJokJqjL20QpJq1rJi/TRFFXF5TST5xScYd013X9cES4GqsdetKof9wRhhCRc06dKFnvuodsDZYxT+ec1+LpzLAtCz+mf8e7Df4omXLgGwgwG59fs2OEy1e70sybEnrin221NuKLcBoE0R7/y22Pr0u0tkL56HOWBVlx8JpOxuTJ5g+TMNF6Lkg80akFU41pEPPpdoWnjrQtjPgngyLMNovQVV++Tbp4k91WjsWxyVBDd/cHlPGgZaKX7OZ7v3bsc75IEXX/wgv//Hf5xvfOMl/vpf/68MUKbAC0sT5HoCp4p7tTuWwGNjHyKp0c+3rt47gO7uKRr54AqUOanTyQdbaTllNpuNEWerOBv/e9pkY3Gnu+1HH4QcmvjBT2Z+4oef5//y117majpiM9rUaRlGEonNMFO9LwrsPWdNjGWgaKPMA3/t597lf/1nP8of+NG7/A//+Ap3GjEsJnhlYvDYYbK07bj1HojmZKQxyEfbDcMwMk0FbclYrFZJaSBlQeshfFWcLLIkVTyjs8Rk6PeT2H2+VmqxqcXUCrUyHB1zenrK5dUVh8OMiplaiFdfcDIrrTzeu4zL95b4lOsYtBRPLIZ+BV5DbF/aHgDp4N3IjNpcUhuVUY8pqnYGmtWouyXFmugkTO0YVmMtegIOS1yx2yEev5fqXsTp9/J6zyC+oX3TxRJfg/d4OJbwa3+g1RtC8uANUq26ntuBu7Mw62Yh++KLg4s465MHa04oxcr8i0Z5XXqQVWLgZV6WzmPnJUwyUustJsMFPnYdbbFmiy7YXhJzyUkAnuyAqPmh12U7q0W0293YfYgkxzdyNEkGU7HYO3ErGCzNsStffG/6W6zf1A6zTgZkoCKtUK7OuJwnNCltusGmmIYFFTQqm3Hgwx/5CPfu3UfkS8umU+2Lcn3IWIKzTPYzhw/ta2O9BuOgtE3kjdCpIQMMo3D3zgnHR4nTk1Ny3tDUM+1+oPlgEj+EckoMIlDVHF8wHWdKiayhQ88McZg0mMrIL7/8gC+/8YhHJaNseOH5Z9kfrrm4vraNY1/En0kAZFnsrpKCCnOr7KaJqRYDAoNbeNUdf/Nv/BecPXmH/c1F1wg2CTm6MVbVKCsbj+33ddvguCVmVfbOcjTXgoozJsHwCA6ib7Gyca8Xu7PbVTPfy631PbIGhCbtSH2tBQMIxlirYgHS1+DR9sgaK73hLYB8EmFMmakUlqoRdgqntsgdgrX0mBKJcNj0hR5TsaFsU0/w3dVnvzfA0hEe5KZoSlSxgzxJoiTsOQjd/WOz2fDCCy8wvfkG87SHBrUVL3WDeG9F9N7Usqe0iTpd2cFHMxjl4Bmieds9/sX0yHGfTdrmkqNoqBBnveyE6Q5gMUyEJmiZbyVlHTD7pupsrMcd9Pb+xImJjAE08TkRosImbzk9OaXUyvXuiqruAuUgf4kj0g9J2nqtOdO7+vu+0qTZtTSXB6XGdlA+9uL72I5bXn3rAReH2fi7HvP9ICMRk8GXc8ZgcsRg+37GKqraXnU+2Zm0iFdmjxs9CjJkilsDN41zyv7XdElUFket5dUHtDhgWf46Ehj6uRAyK8MyC2CLGBN7eVm5C9C7RZT4S6MJOuxIhaWpUqzaEI13sXeqk2WSPMZosj23Ss76GSSLQ9OHP3DCv/7nfz8tVf6d//BnURloWTlUhbzxM/uAZY95SdxS8h6wyjiMHKY5sGbfV7VFYkM/V216pQNehf2053Of+yz/z7/8l3n06JE3AypOxxISoLj3IT0oeAN3/zPfCy0GjwWo9zkdrP38n07c/CwLvKNReQ9gn6i1cNi1HmvzU88usQw6evrcjKnxff0oHA2FP/fP/jb+2s++wdnVYBIYEVIeeLTfsRlGxvsnbPMGrYV5PjDPlTrNpGzPt5XKbp/4a3/rVf7tf+lT/NKXzri4srgek6Hjeuwije3eHm3dnW1GUmI/2XcdxpF7d+7y4METw21q38tci2Auxfrj3OYyVndz6WMQboTrTiQ3fa/Yr9TSkAaXV9cc9gfmWvp9UXWZoXEMaHVTCUndeWhp7F56Fq3PxbT+25w8UXQ8UZvHzkguFklVbFQR76mIawgSJSrDLsdTVa84aN/7lrBGxdISsXG7YZqmxZpc13s/Jnh7wtBYRYbf+PXeNfH9Gy6Bxh6QdTJXXSbLBTANFiFYEHP5cGYgALXbC9ED9LI54yMNGCzseJQ9UxJiXPc6O7+V5a66ksOX1g5I/28PXt0JxqiU5WGn5ANhYjGJ14hj4UjscZJk8mBDccpcMK/o3IF42CrFYRd+urr63kvmFq8lu9e+mOL+LAfG8tN0dkw84KVWScyUq3N0ABEfwKDB7vtRIvDSSy8zz8UawHrgwYHV7UE6YKDONIS1f4/IaG99C1VImSYj33pzx2/7yBFf/NY51zeXvPrK6/zcz/59hmHk8eMLpnmH1gMffj6zPyhTGawhTucOYFWVad4jzcr72wwTW1QzQ9sjUqmMqOY+gOswTzypIxd7mBPIduDuM/cpjyvabvr3SJGcSOiOmzebGdDTJNyUwv7iHM1CGwZEMhtJnKaZ83e+wn53SS7Fs3SzUaxYY1b0LYS0Y6oGHk/TyKeefYHHu0tenS+Zvdeh7x3oiZN0tiiYhNTX2Xfau0+zirfLu0siuOwxCClYTs6cCig1IgzhmRxa1SyLFKSoOx8k35+eAGkAJE96h3H0WRJLg7iwrLGoEqxnLawZGE2gaZEDKerYwPTIrVZjSh3RRnPbfr/nzTffZLfbUeYGyezRApSC9ABuIEmJeQspi9uQ2anSQn4n2J4HtBXyMFgS4Y2EMTNDklsA6jp+LJpoD2/Wi+N9NeYS4Ti6tc4+2ohu/wv/s2BITQKHxbo8IM30rpbjDuTtKXfvv58yH9jvJ5QDEd/Xa2OdBK7ByG15IV66Zolvkmk5oyoMkhkyHB9vOTo6saFkDgqsn20lDvXDuzVzc4kYbr0M6fa1NEV80nPgwJBPRI9LTyyHzPZ4y/X1tU+N5Ckwa8DO4uwSs5vaAKgAgLHnvuPLQYtIckvTA8skaAcExPHsi0u0x9XvdM9xELT+3GhwjgwkZWumnubZKlV+BhtgsrWc/fesUtG+rdrhb4xkZRgbLQvkieO7x+g0UK4PpqeeZjLx7Ky/YxxH19h7ZcrnhdCB8kJ2xd61P13OFUlCHhLjMHJ2dsbf/fTfYZ4L+5sbO4NxokufjlHZ7m2LuGIDpDrAinOu96xJ/7thWJpybydQDto1rn8F8oS+3kqNJmHT8YPZ/IYTUfzK+rkGgF9/njb44e87Zi7w9VcnUhrNrWTIbDYj4/EJR6fHnN65y2ZzhPrskqurG7i+okqj7W1lqSpvPFK+9K1z/ukfuc/f+MVLN0mTLle0eGtSx1oLV9fG2Id5RfUetN3NjlqKmxwEKG/M00xKwpjMrMIIVmEulaSDCXmTVVlEMFnO0+eTJ9GdyNRGUaDVTnIhqWvTbQ8PNDVSRwOTBcEAnXztYUQrkjInpyeoKtfX108RXEbYdOyXWEhYXWx8xRPu2HPmY+/9gx54jDxb+loCt0bMLNNMWw0MXSoTGpcb8LOvx/fyeu9MvEZguH2IBlMZCwPV3kcQ2X0KfVnoi7NPzUrrTaY9MIWOKF5xPq0PDwPe0jMXiDK7g+iyNBGIv8kavFS/rpiEB7fB0DqQR0LRN3OXI6iTasZmIN7oElvXg0YHJgg5DYybgf1+7566aZVp2sYuc1mV35YgAsHML9l8XLc9Evf2Tol4LE3EbaLNL35xOzAG0eztsgNY5e2337GDqy+2VTOULMF3OcS0g994UN8JcIGV7gB+4bMP+N/++e/m53/1AZc38Nqrj7g4+zySEk/Or7i+OSenA3/0936UX/jsu34QLdPz4pVc9373OPGRZ+9y2U553E7YXz+h7B7aWm2RPVuZr0qlUFHNyNR4/ZVXqaWZ/nxlq2Xr1Z896yAB5IGWbRqoYkzJJg3UqfD4nbdoWhmplqiKUlVoKS8bXOmbu7nmPam3w21HdM4w2+G07PMIVvT7EIz4kkB9++Z/moVf1svtZDd+VoEYymMgyV2nkgElNNYhTIdDrACoPvlPo3fEAvvR0RGlmFUdbvcoAi2JT+I0YN3qas87EDJ7t4GcM9M0dQnQev0Vd7ZJcX9SVCZs/7WmtLlAEk5PTtDaOOz3TPNMqe49LZZoBSsZzk92L3zGglhFuihUrIIoKaPNQUSNHhT7zSTC6ekxp3dOuLi44Orypk8WtIYsY5r6WlOTBoR7QrA/qPRGvIWZ6cEIWFh7WE31DdAoIceAJgpzBc3IsOHOc+/nI9/7/bz5+qvw+BG5zXShQawxgc0wAj6DYLUH1/KBPvDPw6m6RKd53JMGtSjfeu0NbLpto6oxWtLJ3NtrNaWBnGOyc1mRCkpn0ldxMkkM2wtXKQPzw2AWwq1W5sPhtswjDtkgU9rKiWQNtFhkX2vL4DXzuuw9cf33yIStMcmCVLdDXeH/ODPX6zrkbtH/kfPAvLLBi1iUYr+q2X9GVW39PqquC04Ja3o3cFVDmuh/HpumNOW1d2/4j/7qL1B15nK/sYnUB0F0gzCZDHQYGXLm4A41kTQa+IVpOvTkKtjYhchaEXIsS1m1UcsiHdzt9n4OL0MiU4rpl7auS6mdYR1z9u8IgyxTRNWpEHXiI5oR1/co7t2t8yWY1DhTHQiH9BbMFAMxaVIpxf47nkGwLKv3DTOQBSDG31d+7w8+x9/9zNsUHbA+tMR2e8TRkenEn7t7jzv375CONhzmioyZjLAVkxFeVWXS2UmUxC9+7pz/xR/7CH/zl87RJm4QEn2KUFnWXPRFtBrQMiEMWHP7bM3ToiiFNMD9eyc898wzPH5yRq3KvWfuoQiPHp+z28/YLMjk83nAu05vYay1fMyYkkxDKX6PRP1e43umNXeXWseI1PeEeGW6S/v8mWtrXF1fs91sFumNnyVrEiVQ+tP4sz8/pT/feZ5vafsjcU9dTuMktAS4ryvJKstZFlBRcYJrUQH8E4mCp17vfdiTM67BAFVfEGQLhCm1bucUso8AAqGvXWL0kjWZxtEt8bx031S7dKZ5GRxn6tZNXT3wshwo4Qe6dpwJDLxmHQME2Z/ZBNHvzFZGGS0CqAVkawyx06dxu9lM4sRvQh4GG0hRzPJwO2w5OTm9FaCUqCrY/9bB2PRr6wUv/TrUMz5jK9tyn+1C7An4wIgqDc2u9hWx4z45sxRB1LuSo3aSXENmg0Oe1t1H5nObZYh/z3k1mcw9sSP6vf0Y/sHnHvBv/YvfxV/+r19htyvsrp5QVKm6Yxx2/As/+X7SIPz9z56jbbAGzVZZJwatbRFJ3NnAj3/Px9gdf5j9h36MX/m1f8zLX/h7JD0wJpuumTVRc2Zij6ZC1ZENI/P+gOREGqxcbescUEtkokJjrKZSHXBbs4z1EmipzElJDXSGzXiCpEptBy8rZrIaC52aeCNXJcRcdjAIV6J86dHblFbMZcfBdHaQqJFYNSWPAymnPgsh2IWn1/AarN8CXauf22yszKeeoBoz5HslQ6kz1JmETfCL3yzORNhbKeOwQdUGTQUDYp9le1x6ItK8EmYLLxLuYF7XrOPhcOgH4HoMene5SMrQlE1V8nZguz0y7eE8oeIAspiH8NH2yBxsDjPeaRDBDVwva24arQd18xb3IVxkwtvdoLrFkCxesan+PcXAUc6ZzdGWdJ0ZNiNJE7NrQG2rryz+1rY9q4QtrQBQJG2+ZPrhZ7DdbDOjF8Deamk+P7SC5sSWASnCsN3yYz/x+/hL/+b/kv/uv/lv+Rt/7XXm8x1TiUmyySuFiXG7ISEcAgAToXzpfzB5W6aq+Txbk1iDOhG6+EJi2k3mdNHEvfWrf3ftCer66OpseJw3T8Xn5P7lDQPI4ya7fK6RMIAVPulzObBzEBDnUhcArRLXkB30dZusxyryDAkQtwLUkTQEIALl+nrqRJeqVwiy9ZN0A4AOHm4nBL260RoiNjnY4r7pZiMOBLO8jgExQyCqsdldaDpA7WvGPn99XyUJuyq8/uCK1iolj8ytkmsmJ/NlJ0HxGBhzNhreeJtH5lmt+dQlgNYXqKt9vqoEdsbbnlPVSpsPmObfGw/Fm9GRfh+HYWAcRyPD5mKN5c1sFxPQ5mlhNmkuRwop0hIDzQZXl74gIHTTwJKcsnJcS8sd2243fPSjH+XBgwecn58zH0xLHk5uT78C0/Tqg5/p2xE+/MIpf/3vvou2gZTpuutx3HBydML9k1NeuHuHvBm4uDlwcWikzQxz4fT4mLlUyuxe/ZJ463FlsxWeOU08ubJkrdbq9sl2TwGTqBByo4g/9leZbCy+YEhTEsMAH//ER/kdP/Lb+cef+Qy73Q1/8s/8Me7eu8fP/OzP8eWvfJPDJGjLHKbC03dBI7FyTFmau9cYdd8H58X3L1WpxDpVxxbmYNNx2lPxMHCVYvHzMB2Y5sn+rvfMxDm+gHSbQbSS2fVYYZ+x2W6W6mpn7VfrpIGkTEou9xMhtUaZp74fxMmpXmFW+2Crkjn2ukWA/sav35KcJoT8tyaeoQvDnlwXTeikF23rulwlRCZiB1oSH/iBl8idRpbVTWw+HdL+3P2jPaAh0uU2JXS4Ij3QSrdu0WVaoAeZ8EGXVSC1zzSpSgTmtT8zCkfHR7SmTLPr/pwVaq1RqvRAG533BuaUMk1cXl7ae+Zh0Y55GXeubRnQtAJfT79uM0ArCYt42bAFh6w0FYpbbUm477jDRLOuS/MYVrr225wbLPCtj9U1y6s8xfTqYudFPEtdjvwYxoHAz/ziObkp//t/9Xv55S9d8PlvXLE7VD72wQ0/8aMf4uK68B/9t28wTc50tNIPpvjwJpWaGg/2jV/48jeR08L99gK76wcoFSQzjAMThb0/J2lbaBsLDiKmO6ShJWzYFraGnjxZZaP5ZkMqx8OW05MtV7sbrsvETGMgIbJBxEp+NlbZDrGUhEFzd9ggiR1MYjppVWUWKO6Ug/cqDHnwe7zqScAHB7Xb1SVdRZ7+ZwG6gr1y4GkuSpYg3L17l8ura6bDoR/8pCANLPkWNReS48E8hPelktJIw7TLOSWGnK2Z0xPbpNLLlwnpvvs2cKcZeF6t5x5jtHangVtxwFnqkOhZn3FjWxsvnt7lhsL2zjGlKtfzTEmCyMDQzMno5mZnMnxJ9j/s/lsSaw3OPbHWRspWIj8c8JkHEQclor0/C+ke3dbUbg4XDx8/4cnFOU2VzXiEFkziowsxEc+rD2ySYH/bLbARr3XzcNw3a9jP5KxLv5G9mQFpt4Z0/wXSkKkCZxcXfO1r3+TBuw9pZSYBm2Gzqhi4BWNbtMx21W2FPT3ZTDFh25nswUDDhtYb6w5FEUaP2SGNqFBN5tg8Vqe+DtpyoK6YqTWLl31FI8qQB+7du8vVzRXzZIzaNBdyMcZ/IXy4dc/XREQkP3gPSCBBkf4vdg4QADp+JCSXPgG12dqIpCQnm0tiTmhhCSv9YrInIxHXl/Oy0WrxsyeuzdO23ugf/y+qvtq/Q9xTIvkWMR9sZ2bxxDDnEVGlVIsX+6IkHUE35KSwKShms1w19Ymo4ntHVc3C0wFZ682jtt+syTDut0mXIlHUKp6A2IqLhxL9OOKVlkha0LUd55IMtFrYDplxs2F/mDwBts+3wYv+gDV6gZaKTGvL844YFWf/MAw9bvoV2e5YyWHWMpGoojxdFV2IlOV8j88+2tj+vd7ZdWbXXCcxG8bN8TH379/nh773u3j+mfu89OrbfOGbr3J9dcVMpSUjDPM4GCiucJiV3c3MvTsDT64WkseMMCye2vkTfTgQ07TV17DhHeF4e0ITYb+z5O71199iniaePDnj2Wfv81N/9I/wwRc/wM3+mjffeod3373sNp1GMdDxh7ZlkvhCskY1NvV1kxSSetzS6GuwNbyOlyJivVqeDGqPGR6e0BUWVE/G7DwKx0ProVkSYGs3uR2TwWxqY+9ZhSj5Z+IYNEiZzN3796m1cri5QWZzWVRVRJVZPSEERLyCqnafHMZ9W/LzT3q994mtajok06tmCwCiLLWlRUtm7Lr0i/y2kr0q0vzC02CWfTlx7/SUq6sbbko10O6acbP5sUl7QzY2rHjZ07J8e/DWqGqLcHYrKVPLrLJqBwH9gMQby1iaYxfP9CiVGJvR4juKlaREGszzLZCraqUW+wg/eJxF24wDksy+cYn+4gfwQG3qgRV3LVjes6eF3A7allBZ6S3KSZZpCjE4x6zVl3uIA/zeKBTZZ5LIxw0kE4eyORiEfCee43qZxYEecp9gtSAC5iohUaVq4r/7h+d8/ptX/P4feZ4//U8/yzhm3nl04K9/+i2++uoBdZ/izgx3liyeozGNu4Pw8sMr9PHb7F79H9gc7ckDTHM1j21s0yWFJDb2PKHmTpOUVlq/dkE42mxRbRymQ//OtRSsKRMSmUF8uhqKtMpmNLvDJJOvpTggDDA2FTQ1cJs9gKwYezt4YqWNPGxQave6bS1cp01Tuj06Mr0peOK2jBS3JbUwC8Ya+9950oAHwiy546/LyytjuUP+tV573iSUxO7Zdtwyl8JcPRA5myyo6X/LbAEuLfvFmgrtID7ajghbrm9uKCtgEsAxmp5CbmTOSRbErf+mmXUZGOOhjXvDyHd/8MO8fPYuj8/PmWuzys0wuGzAYkIMQAsJUzDNtics8OJ6/ZTg5OSEj3z4I7z+xptcXFwTbk+qtWu/7dUwTYhdU84WH0szz/o8bEFGLBGzgUcSXfkRZ1bfvx8a3kS9lk3Eg1m7XeCH1DLaOx66kLM5vI+og6BGS6DlwK/90mf44q99genmgnJ9TSIqZrHXkhMRS7yNvTcM3itRtT9rfE0G3lUqQ1aONgNNheupwDB6NTee6eDgVzuJ0Lwi2MH76jCFFQBS9Xtud/Lk+Ij3Pf8ch8OBIoVSCwmharXGObFBZqpqMiw/fBFdPqV5UtcPbolQi9L6QW2bY3ket+Ki2sFMB41LNmCVhUqHq9p69Xit1V32zYDWYo4fGsnNAgC6dMA/K4bJRPIgfg7Guor6U4fK6p7ozTTOkgcK5kRT53B4MlLoaDMwq3Aorc+L85PfQE8phNe7VCeEUnxaVCjCGtC+5zAMNGlUtbqkhRQxNGOnb5f3dYzhWMTc57y6qDCmzJ3jU05P7/Dg8SMOpfhtV09orGm+k2v9LuLPxMi07eYYmNDabFgi1qiJkweBCxBLXL72ta/5/JKe0bnOW3uCuAb8sXSDhU9J2G4sVpdii1llkcON48j2eMvd5+7xvT/yg3zyuz7O0Re/xitPznh4/pjUGm0yJz5R601qomgTDkU4ORqIZdLlwQjboy2lzczz7HIQvCcs9XuEqjH3w0grZnmd88DjJ5ecP7liu91w987IN7/xKo8en/HNl17l6ubAYZ6pZQTvI8HjV85GrJV59j3ugD6Zo5aiINlmbsT+VsdDnmEZWaC9b82kZInuyhgJQiTWff3E/gjEpt70LE62qfnV6zrhsvhb57LsscioVX0CssXIIZt72lwr45B58UMf4uLigrcuLljbyKrSh4PZeWxxXnRBkoIsBga/yeu3BOLtsHZruhg7LCu3lOjotl8AhM0wmh4Ia35RtcECEUzsnpm8AxmwBrPFV9405ga+JNOnmNrv2gYT14P0syvKljQvcWsHBIJlhFWdtYqMLq7Bb2sxs3pai6zYpoDaQhCurq78M41Vy0nMq1TDcMnBn0/UjJy0KZRmvzcM2ZsGQ28Z32WREyyDBpaAEwsfTI+tWBd86qCk9awUjBE1+VFsgEZ2DG8awjgIBCMSfdFLJkleWIoV4Bi8aS8av7KzKsV173ZA2fXGdYX8gxZgf+Bb78DLf/shyOyHvx0UUoeeVvXvrbcBT2SwNNgjtHIJsqNNlSqNPAzUeW/3MEr2fuCkVsmC26wlFJP/HB9teN/zz3J5dclh2vu9N9lXWgWJ68OOw3Sg1EJ2C9ScR1QaU90Bud//CCjgchWaeWenRBJLSlWM7W3FWLdE8iSqGHhVutf50vfglllUnyq8BoVxz4ItsyTB/HzDks9+/jBNRHNdf4m5q9DUypaYBefVfm8JswcjsMRGxL3ak60Z9YCZs9mwbTdbdrsb5lrIyZoVc7V0ygZhGBPUijMciMvRhNnBZwDsJmIHqiq1CtfS+OLrr3PZJvbVm4mHhLRl4JtpnSvRiC8orVifT47nFGyz2nW1uXJxcWFTXQnJW0d+Dh5ihZpNbfWE2JgcizOtTEzeEwDCOGyQBKXMfg8TgrPzqp2Ocbhu6zPWfSclFseoAJMtCJUOBBcmzSqQtU8jlDpRL59wc/EEbTMilYKCJ+3a7H709+mRxw7WMQ8gNv3S8y4DcL6ERJ191sqHn3+OJImX3nmHOXujpYfenJLvE/+MtFQUY3Jhi4POY37ICf1SbL8koZTK40eP2e/2zup57UEEER+oVJqXusUSK22AWZaGW43SRTb+IVHVjX+Gu8lKltKji7PzvQlWfe806rSWv7QONmq1Pb7W8nrk9ri8NEjGGlqsnV1fHPGRpWLRq3ROJBH9Fj5YTSVmldjZBaB1tm8hMOTE6d0jTk9OODt/TCkTtTU2wxGTFq+WrarGnlhagpl7YueIF1U/r8Vmx7RmOnKbnZKIoWQG7jrvasytmQESTHxUE4ecPF7aLppKgf0Nc6sUrRanoDObQUi0MvfYVWpUW0dO7tzj+7//B3jrrbd44403LP6qSYWDPV610RETk5uDOVuk8Xm2XmKmQHKQqj1JdcCu7rinajJMEqmZPKi25R5PTXl0dcMzNzv2tTBsjFSotaFlps0Trc2e8Fms2IxgR0rDpiXbZ0sKYsaHmeWMJrVBdI6/WqtWWUxwfXNh7k1JSIwkqg3KK5UnT874y//BX2FulQePH3N1NaM6OrFg4HwcNwa208DR9ogbn6XRnHRcbEE95WtQANHF1ECykMfB16n1r5kTmpDVJEJNEgd3RIzFF828tZkHe9idNxpSFVomDaN75jdUZpLHXTvs6OswtugwmoWwkVyBK7yXURKtzLz2yrfsfsZ5488+ei2iuhfyn+ZJr8mxWX2H3/j1W5DTeAB1YJ16P2sj6gDqlmJhddZvo2ed627/2BA4+3moysXNzhg5f6CLntevIfkELS9VBXMaRES4XIA5SNDE7edWpa/4Ml66jAw0OdvQR/x6MxjOMhWX80SQXMs6nLghWONgF+27K80Pt0MxoNpUiGFCYctXqwMgTE4QQbYp3mTqVpzhaIOX0H2IVNPFfs0OqAXER9aZ00AeXfPbzOFiQNCUbYRxM6bY15Anmwv4jfc2nd7YS4a3vmsNaU/rKVEJdlHD6z2WvXpPlYJuLTlJzlFJ9aAenzncuobl5msHT8oB2oF5ss1uIMeHrKiXEVHP+PH3D5bTgkmdD+yvrtjf7Gw9O4DY5MR2HCmlcqiNgutAU8LOETsIiwfnMWc2OdHqTGnFAYk3KrsrDcm7+gXmEj0Pi796v/Xih4UK02zvpbUiZbkfemttxh2Oe2ULySzVLPA3s/own2Ot5mrRFiYYZ02seuPBVoS9BsgRDzjY8/RDwwCVN0oXWxPdBgzbX7XMq31m15jzYNK2AEEKGZfheePj6FrOCWVq4dyTuJbGrpresaXRkvMK0prt8zjB1axIXTHMkDKnpyegjf3+wFwDONg+3h8OvPX2O+6UoEuio6HJt9HmKbnW3SJNHwgU0rGmleC/7KbZd63FXY+SkDUv67ktMsQAiUuvSzyjaIBcOz4EyPFn7rHXkq4EabR4pwLN5BHmD659qNiQjPkT6E1krXovQsjxqlVdDAlkOw7VbNTAYosWq3TNNB49OUOBopVSFNGMeEUVP+hNcmFsf5+A2Nf10tDY0b+fD/h9rbVxs9tzcAcIdeAYyUDEtNwK97cj+6rsSiMPmc2YGbNwtT9w8GFhSRLDONoY9BpyJHoP6Lp5P/aZ9KvxeOLnm7F9a+kLro/V1T414L9M9lzWmKgBepHwl1+SyOUY0k6ghGXtAvxtCE+A/aYuMZCEZGjVZgq0ZA2hg1gCbGdNJbt97tRsnkbKXgHI1nQb96NP09XQXOMg1pxLwpmt52AOXMxtKVmlQW2/mJuJIZnsQDDOZPXYi5/nOSU24wi1sC8Te62u0BIXCkRvXIowENEIwwqe56hVbx+fXXB9s/O5AbH+wCqk7pjklfkuv2geOQKMiT3d1tQHpDn6q6GBdoZfBW2V3d6qM3dOBx5fC4VCUiMT9/s9+8PE+fk1v/arX+DN197g4uKS3dUVcykcWmPWSmmzSWnUekQGKZxsBg4lsxmsgpolWwmYxmF3Q9VqWM4ZfMYRbQ5Yk9u+tkbTmZQHqIkxw2/7ng/w7Pvu8tWvvcb55RUvv2J7e5oP7t3fa/pG4KXMMBhrvjscvKHa5JyK3SNtzYePLcl0EIqDWC9Gq4Wo/rbaKK2Q/WeOT4+oKTPdOCHjvZabzeBkgw/7rJhZgBSyV9eqgGrBhJcm67GPX2SN0buj2iyJ8PXjbCiLUYglA/uba5cR0QmWHi/iuBSPdx3nmMSp1rqG0L/h6z2D+KPtlpwHbq5vesAJhxa70QaCVc0H3JKNRClRQpMO4Lu11ZoxRC2Lxqd+OSBc8mfsM2imDPEsN3SBycsp6qxdMhOs2+wiS/Bd6ysDBAUb1NQeUHioB3iM4BGSoq5v9mvBkwG70ttJTE4mmWlqjQ5d79ivw6RCRycn7Pc3NJ09uVjLfLxrO/n7Kz5GXrsNZgQSnNmMBhttDeklnCXxSClTseASDJREI5SDGenXYO8TwCzubweRSm9W6dHWF6ddUuvP2xiR1IOdMY6W/Rq7GAyda4j9eldGCkv1QuKAtYeQ02D3ZvV87BosiNthYp8bgFYSDAJMMxePrck2D1YeQ2AYM88+9yyXl1fM1zYoS1Li6GhDKzPFdSvWsFIQjF07Oh4dEM5UhdLsgLt/7w5pyJxfXFJ9rDQEALcHGdrEALatNWaNwwJQA7jisjYbHBTr3EZZWync92geUE+GUiskGvdPj8zrt8aU0niJdeA7zRolYZIsUx4D2DloiIBUVqXC2HOH6WDJv/v1mmwsOaA0oN3tVf2kFQeXTZVNqXzy5Bned/9ZvvTO6zzJLvNyaVjryXNCU/M1I040aA+glowEwZl47rnnqXVm98479AS/xwd/Doj75DePEGrXLva8j4+Pub654TDN/tykPy8U0jAwpGQHSTVf7FatEXAYMrXMAeV8XZkO3Spmafkz38frmBAxIogScWa7tcZ2u0VVmQ6TE5ziC8cYSCNEsFNGUydCXvzgBzk+Publl1/2HiNzzsl5YDNuaN6s1prPDkkG/PLg50ELxlxokng4TR4Pt4h6VcnPCKuS2UPv68+nUi2w2L6jOUiZq0+AKxSvsNrAoNaW5uc+48EZ8ZyVbYYXnr3L48trpnrgaMh86uMfYdwMfOnr3+AwTwa8PSldehIWvT6Y004AUXn65/3eRAK9/rlI7GQFLhFfvyET8H1lPVZ2LuQhLC6jYhRrMIK+rX1774WBV9eiRzVUq9+9EvZ49jPZk7uGSQrESaPzswuuL68t+a5GVrTkVbFbZ5zfh55QLoSERwEkwWbcIEmYDhN0kObr0iuF0kweYcLt3IHUUm3wX/HYop44WmQLwJwIajcINqvaK7WVpe+kv5lhlDIdePmbX7dEpAP00tdmbb5/8sLw231fZse0cAvrwI+OdUI6pfTD2jT0DR6dT3z8xYFHXy+IDp7guJXk5SWnx0e89Xbj7PEjDtOBh4+ecHV9w+4wsZ8mDnOhlNaTv/e/MNAanF0Ur2a4bEhY4seaJEhhh9x8gXq1VkzVgCYGvcPJJvEv/9mf5Md+zw/zf/g//Sf80i9/hd20I5EYpEKbXXaYe+zd73bdKnaeZ8ZxdILD9sCQbAhcAOdI9HIKwwFh2GzY7fe0PnnWHkBpDQRu9juK5EVC6vtynmZ6Q75YVS4JkGeSFqR5TGLG5ihkIEjDZT+u+0tqLUt8aX4nY787yNHwfsfPoNU+iZc9ioVc7lK59wjg4bcA4jfjyDCM7Hf7fpEx9VQxB46Uht4oavF1Acr9prrG9pZfqN9sc7vA9FAow5g7CyjYpg65SmyyPiJXVzKLuDErUBIa0thE0Ui0MMlLBt2t7/ym9zG+BPMfG9M+TXR5AAvvvWp0cclE2EfazXF9lkQSYMH2+HhLrZNNSOuNS7EwPCAGEm7Sg37ck8gUBfOYrWoMiSQWzWUETazJjaYU1R7oAjxXrdRqshRLbhrxVFstt8q/676H/szFWB7xsqF9z2ViWeh37S2S24j5JwhLN3dbDnINqZB/Rkh6EHF7J2EYR46PT7i8uqKUyVxt4vBM0TugnbAM1i8ch6R7CgN+sE6TOeMcHR9xvZsYxw0IbLdbplZNYwvWNKiVqhUphft3j3nu2Wd5+Pici6sba4Qh+gSiAXjF3qhbNbIOCBY8brFrRNIWYDOtQKiVnxONpI1ttvWwV0tvG8KYM0ka+/2e7/6+H+CV197gwYN3bwGSpkvQueUdLkvwXz/3SJBaC6Cx7BFbVvX2nlslf6oO5nT5nKKKJiszbxTu5g3vO77DsWQuaWgy+Vd7ev/7Gk8Sw5QiqC7+6pa3Nt5591202Tq3lpnVOo590DX5Ac4DvhhTttvv3TnHvnBzTb1jTMK/PmKKrX1nYv36rC8g7DmNddJmVTx6053pJM2dIYbkxOFga2ocxy5TWD+vIduBrnUmJ6tGJUz2UxtearfPvLm5YZqmbmAQf042u8mKMM+l46SQ/YUOPLk/doAQIaMVA/opoRmq+HRUWp8cuhxuoWkNtIv3YC3VCAmQ4d8v2PplPS7VjJRzfy47Gq8+eUJ1XfehVR5eXnG03VJJqOtbWzNnpNh/Uerun+HxpBc9JJ639muMS0kifUrqtx3OYhJVWGwPAQOw6rGThRwppVqVud8j9aRoSTL69Fel/0wMo4lqnKjZ71ofhXRZYjw3kvcBoUytmNWnmAVlmWqXjIT1a9g2xqZZWyhWTwRFhHEz9inErXqynaw/p0hDaBxL4oPPvY+r6xse3eyo3puhzvZLjgTN91ZT6zNyXXopVvlSCSMN6UApifWINJXl3mIMv2D7ovpwMANqFgjEsqQ+tDKSlEgovTnP4o6zzBr3wRXdSazKZY5igYks4S0kfukLj/h9v/05PvuNB7RmEuQyVw4y8eTJOarK4eaUzZC42d1wdn7J5c2em92B+VDcmtr7tGj8xI/c54svnXN1PXXI3pMtosJveMcaO41Ntnjv3y/uUxqAZtjkkPjKF79OazPvvvsuVZVKJomw3Ww4OT7h/OKcRqKIk6J+HwPUzrMlcbF/azGZZWABkdVMmmp7dz7MRor0BCgkmwOC4cdZqycdFiPWzeKxh9QbsZMmhMQsmdn7IFNTaNnvg6lMlj3WejxQUbLY2okk3ZaFSbmbY1WwczQ5uRIOe7Z4ewiw94+zXzDFy6op+jd6vWcQf3N10+3nAnTHsABElgahYOBk0WR26y1iKiSr0d2LvVMDRs+Qt9sN4zhyeXlN6M6N5fdglZZM1/R1qwAIaF3AwrpZaA1KFlY+LN/igEzgbiWeaxENhimZjV1rjUM92FcNZty/d4B/2zZ0l4U6eTKilq1vtxtUTUqTkjFyZ08e4U+7sw1rcBKgN4JTzt6gWGbMDWH58zxkZ9grC3oJcJy8iWx9gGoH9wG8Fl/bpcQdSVj8ZD+4nAfx9h96Wczf2hK8AHRelvKsOxroWjxL1BIM1o1sptdbzwboul//dA/F/d8tIMR6tOekq+/WtDoTNZCPjzg6PaWUyrTbofOEtGq6vCQ8fPyY2hqlNepcGIbMfrfnsDtYv4FAOzjrZ9GG/c0N+6Mtm3FgHAbqbF7I5xeXtKa98XJp/nHAlNaJ7pI4ighHR0e0UimlkKQZWw3EKHhROzbQxr3TLZ/60HOINl5++4xHN4WqiXGTUBI3U+X1d8+42levpN0u+eF7Z7MZqbV1L/2nXzmbLCiYW9QqOCll8mCsS5kscHf3okgIXGQadrLW6GTgMr77boAvH8746utn7LXQJHXm0Gnlb0skn07sVWOK37I+99Ohr23psdX2UJTG41pzSnYfSukDlZo2pnmyw8mZmdgvy3XcrkKpNjbjyHYc2e9vGHLmzr177A57dvudfS54HwfeCB1r3L9XW7157x6xNV9ro8T66PfaxtqnpIyjJdPjODKOW84vbuy5ivlun52d9QMwft+cyYwVDHCWVlZ7dmhZZa+pWhQwCo1uk+nr8kgUGdRkaZqoEtVZB2WOBXO2SpS0pYrbNfHikhCiSrWA59TBikkWrFIpICMtjRxqg8MBkcQ+w6vvPmF0UJtldDANgQdML20V3rAXDdDmRzp9GGHEPa9+hdwkGGp7btGj43t6nSCv1q7td6W14laIy98txA4rUimAvMXCnIMkCKenEPcaeMnEz1q/iCXhy3C2lIdlaJP33whLz4qImCNVWyoIELJZv+dqCX0QDLvdDsC93d02VKG6yYACmyHzvZ/6BK+89iaPd9d4uXEhE2RFpBFOWF3c4H0VrPYkrkUOIid+0LIwSdZImXNisx3Z7wqtzXRbT792Oz0Cy9DfF+8zib25JvpMvunN6U1ddue7RllV2OBXvnLJH/7xD/BdHxS+9roRGLMUUspcXl4xTQeuzs7I2WQpN7sDUzXpRalRlW5UVd53p/F7v/95/o//8ddoKEfjkWGN1sjjSMrZn8WS9MrKWUtrJWXfW35mQ0HzDdf7gZ/725/l53/h87xzfkMajkju+FKxaa82I9qSCUV7xaefLwaM+prVWKe1dfjRga/HcXOoiwqIWCKkdlakwftbJm9Yx0i6wBUxx8ZwovVN0TKlCU1G6wlRQVsmiSXsVipcRdbAm33nerFotR5Z9YjGmgjCQYQun0R9Lkich2sNvK/JPtn8N3m992FPXmHJw4is9Ispwf17d9nvDtzsDwtLYuo7/133AG0geaBWXZxUVoEopWRM5ryU9+MGtTg0Isvy22glYXX8vEgrTMe40sJ3xmphbOLng9GK984pIYNQ5nk5gP36ck589KMfZbfb8fprr/f3jbKeyTuTY2Zb/NUPuEV+YOByHDeYJZeBGzv8q3uS2/dIIrTedg34gRFvnwcD8VOdfcvY+aCivVnQNomz6KugZL6+pucNzWFk4ovukpWrz/J3cR9vlYYkLeyPRVNc1ohI6g000bAZwGpdSWn+s6GtXXSf9r3v378LwNXVlWuK14DQDoR5npnni1USN/QksjRjP0XE5FKufRPd8PFP/QA/8Lt/jFkLv/ZLv8TDV76F7AtUm9I61UII1WxOgoGjsEtMPtAJEimZG8nuMPPug8eQBg5zYyp+0NXi8hfp3yGqLYssYgmwXdcpNvK6DY3r62v7u2afqZ4ciVrz1TBknnv+OT76sY9xcX5GenDZkzwb4KEUEq+//gb2tOyBRDN5a7VHsGEcQQptboh7uQfIG4bBXHPUrykSfWx9Pv/886jCo0cPKfPBDjnf/7Hu17KFPnE4+QCWZsFwH7aT3nvTCIb5tqvHdwI5nsfZ90zJ96Sz6x2o+g84IEw5ZGUe05pP3euJ7gKgQlooYi5CtUuKXGYo8T4AjVpmphZD3bKnmwZAm9h0zRglLixMbvQSxeyGuE5U2Wy2zvTNfj3L8Lt5tj0+jJkXP/R+5umGYcjcv/cs3/jmK9zszd86yI1xHNlsNiabW7IPaqlOxgwOts3BJA15adySBC1qGgrOjJahkRO8cOeUZ+8c88qDxzxpkRDQ92jE8O1mw4k3VaJLFWN51k50PEVyNA241bFCTwCsP1ogZeakzKIY5Wm623VzLv0b+J8FaLAH0d07OnjzNRIyLlhYtiV2ridbu8RFfa+xYvpX32cdY9drDpYKs9l1Lg3i8m3v5Ym14DHKmFOTikykLE6wmTVvrXG/vQrtMThslA3wGShcGMOofJjsae3BbcBq+Z7im0FVuxNL9p/dzzO//IXPMU0VFZNRWSuG4wUfGt2lZh5rqicry372cz7uR8iNotrVbJUYsDO5SBJfizVkwNnv8bBKVgKD2HfupJOfZWvwthCY8aw9ndJlToY9R+X6kPjbv/AO//If+QD/zn/+Ovt57KRIzgPzNLN3B5WmjaKCYtdXW/GqY2Kk8Bf+6Af5+V9/xIML2wCFBQCHxbbdo+xrTN0CWEwCXRtoMXwi2Ug/Ac2VA4l3zzN60ZhTZhhMBlWqcN1iLYyoFnsP8croCosFToi4ErttSc7iXvp9FiM/RKwPwwilxYmp+T0MnBh9T4gs52zsU4pXogxH3W8TM3DA5KYqFTC5jKbbey/Ow8A46/eNDNFm9tBxWiT64mdBfN9FFimr76gdK/LUR/+TXu8ZxFsmnsl5ZHt0hKIcbm5orTAMI5ImhsE0pjc3N1xfX3kwdGsnxb+ga2Gd1UV92pwzMXW2TGqeG9qKAU3XOXX/dw+uPTcOkBpfuj/45SAPcIQ3NbZVAqEaOlYDqNM8M+TBF3h4JCtoo9bCO++84xIOJwkI32L/bCWOfgO70QHoizn7IKrDYepBTXUB6jEAICoDZRUUIsuPYDzPkwW3WCT+vaP8u2gU6ffHsl3h7r27PP/8s7z++ptWOm4gA2y3GcQCyLyfAHFJkPSFu0zNW+5xq9UalJzhFl+ZTZWkAXTtOTczYenyJnts9nxMD+p2groakZwjELYeDO3eG0hKIq7H1n694ve2tUb1RCBkOP20VjsAz84u+dT3fj+/68d/D2Wa+YcP3uWwv3I2wuGcMz6tNdPN+3c0RkZX0MHTJhU2+cgP2NmAvk96tfWYegIa6yMSpl42ZJlomlLisN87OEvW6BoJrU94TL5WVISziyt+/Utf5/r6hvObAmljnvjgMqNG9uATQS/YtYhLqsp+vydkE2AHaASvUgpttzP2oy1VLbPualxcXjKOG9Not3lhJRHTw2O9CTGUJsCw9RElB3ALwy0B5NUS3L73+j7/9oQTXcqTUeq0NWSVo5SsUc0IB7pzUzRF16bupKI94PY9pREibV0NeXBd7Pp91cG29QMkJzNUlbkqT548obXG4FalkoRK7clwq/SeBAtFrTOtsS5KKdRafIJvVHiWWGdMnHCYzFXicDgs3vfZJoyO44ar66s+/fpWMtS/7DLgKwCerTsDPeO4YZ4K+GjyVE0CUn3E8unxhhfu3+X1h498omPqN7JzDECZJ25u1GeE+B5ZHf5reVnEcLw5NIBT1cYwmDNGIxrulOPtwFQPpDpR2ghppGLNgSmZp/swDn2YGlhfk/o+7HKy/vlRvbF4E44ka+IkYqcqfQpoLNynE1D7vAX0rdl2dAGqMRhQdXk+8XmllL5fbT/43s0jYEAoEhRVmyZp1UlWvUdBxIQFJn72FFKMq2eRaqb8VPIc90m9D6NVt3Jd3l89sW0qqCRmGufXOzOayEOXB0VctL4LRVPcfVswJm2yJHQz2iyQ2Qf89PvXOsdg99yljIhJOm5uamftI1U38OWEAyFLov8PB1za35i+ThyNdqKhL26xSsHx5oiUMjeHPTT45a8e+N5PHPiLP/UB/urPPuBQPHloJm2qSclptKRFIz40GybZCkkqf+oP3OdoO/Bz/+htVJNNTq6WgIzDBpHEfj+tkkFbc6W67JRg5RMSRgDRH5hs0Jclo2JD20pBmru5yGgVVFEsra/9fAs8kPx+9upVaPBt9UIkfMUnzHpKbompV5h0WVOiK8lWgG5ZqwEiWbAFkDB3virCZmz87hdf5GY+8JUHZ+zShqkpGo6Svrd0WbD+CKXHfvVzM9ZLb6QPQLgiJvKQezK/vDd+9ju+94+63aP2T369d3caD9zjuOUDH/wQ2+2G1197lavLcx4/PifKcebfWjyw537wxoNRP1wJUCIW+Deb0bqNa8G84wM0OXB0H7sYvhOg2g4qY+pzz3y0/8wSFJsnAYl1mVySeMBdQHdMP7WbSy/3RzC5vLxYvadr7bL0h20gXBYpij+XrqBr9tBqXeQ8a43+umpgm3cJGJGA2MsOvVqKMaXx/BXQZMNlIuB4FaPW0h1aDtOBR4+fUGshbxLf/zs+ye/4vT/A9ugIPCl49Ztv8JlP/zpnT65BY6y1JVZaV80iKS06QxXMjz0mqtnmG3IyWz1qnDr9EGxthYYciOWUac0YxZRN/nN+fmGguoF5c9vfI2IuIuF32IOBLpnvKrWVuE8tZEszF+eP+dwv/wpXZxd862vfZL/bmfonZx+3HP7Sdi8DPIZEJ6/K4jbAKVG1sS9u4eWyJiOEsrmQiPgh5qVwXw+mNrP7ahaWqTMorVVKmbuEQX2SqFCW32+KFuHx5Q1nl7Y2h3HDJg++poTWLCHKaVlzKSxh3WI19s/ahQgWOVXc23ma+r0PYi554n+zP5APM0LzHgl7PhZvUw/QkTUIwaQ3l2a13qlv+0k6mG4diKwT9tg76wpWPPRl5PwtWU9tVvFSt5DzPpyta8x38wy6uGsZiHK5RhJrFBSrxsT/Sm2u5U79w2PmhU3sXZK11oylltbIKNIax0dbmiZ2+6mDNtSSCZWBYUi+Vqxq0Z0+RABbL/M8G0GSLRGYS+Wddx4Q03NTOlCaWgxNBpgT0rXOxP52wiXl3IFSAMcAq0GopGEgNfNLFsIZBVITaPDu+SXX+z17xfXqvtZDiOfrem4z8zRbchwAfvVMl34Q+/yoIvbcXOH4+Jjj4xPOL55YBdArIp88uc+JND77+B1u1CqQZEvESRYvQ78cB7C5o3hFTOkMX3b5hnYdO8bI5/Uh7j+jQLP4mESotxJ4Xw+rONJldrJubLaZHbfvhSznrIOizlK6vAVRRBNDGhk3J9YEiVnG1jpjrh+D61KW6rQxvziwVSQvkpGICXHdJp0IMiG04X5WZ5vqqyxSLSO5AgRl60uw1etVbRuQVdtyRvYm1VU8EkNN9u954IPv/wCqjbedcLtV7W1KSs0JwaWXA2fdHXXata/OYvu+JuCxJSd+qDvx1K9HSKNBz1pmck7klClz7c3Eff6Iy4glMEETfvrvPOR//lPv53/1L3yY//hvvs6jq+xnRmOuUNqeRKaqkWU5gUrjmW3jn/8j7+eFZ7b8P/6rV9kdPAHz904pce+ZZ0iSefjwoQFxTOJsVTdv4H3K0CP5mW4YLNGk0ORgOEC9vwy3c22tg2X16ecZ7f1t4QJne8r+WVduWoETTYGwUjSoVQru3D1ls9ny+NEZSWIIp/bn1hv7a0OS9onOohaGk4qz8IoMlc0IP/SD38Ojs8e8dHbGAUWLxS3x/q7am4FXhFuPi0GSLEl5a61jjXCmisFmw2AGJ/v9zuVe0s+zLsOzxdgJjd/s9d594vHGqe2Wj3/8E3zgA+/n+uaam+trSp0MNKiBrBhA1Fbi/OYlcbNbjKE5S4ZVS3UGSa0JKg9st4kyN1SL741gemJybFptULdD8szXmEKN3UHY9vVkOAtLeQnCsmKZfgrRfBKNFmjoL1fNCXgpDemTNle5GjFwR6HL0o1I8CxyxagE8FA1H3aNw01WDSn9mhraKpvtyGYczArNPSklurxdErPIAoLJt7/b7/fc7K8YNgN/6s/9ISQNfPq//8ecPbygVjg5Gfi+3/kJ/rl//Y/xMz/987z7+tnijiH068Mz6/D8FsmMw8hUJkTdp1uDzS59E9vCXTZFT5gj8ZDE4q0L0SVfvZKQJZqMlpf4fVb3u46n0Ruv3K3BmpuquW4kgVQouwv+8d/9NJ/7xX/E+cUjyrQnCRQVss0/CerFQTP9XiYRNsOGucyUeaapOds0BS2N5MEgJfqhjzcAWnd9sHLazxCCtVth0XmamKMPwO9bHIbmptCVoagKRR1sKug8k+YD0cBbyagHYrO6b84YpVulePWEa/1ZCEufoSyMcyTO60NQmzLXYpU1x1y9UTelRQft120MWUihtDPnkVCHhW0GSnFVrIa0S5ZrYLW2hJVud/Xnnhj5ueMHS+qgqsy1r8fwCbYyqfivGzgKvbeqJcd4HNKm1hPm3yl0mlEdSn6YDWNGS2HMmTt373B9dc7J0YZSk49yl+W++rqLxim79uYSloX5iQa7eIbGVg/mMlK1gy61v6BNM4XZ11JeGiSdUW1Ulp4WFvxMQ5sgySoQu+udBzlriif7nlalNeH8AJfzwdem6fON1Fn2K6gP2Itbqbe+y/JPuydDHm+BLntfmOeCsnPCxOVYKTOXSh3weQcJJDnLlxkGq0Le3NygqozjaP06NZLz0hNH1OUpvkZS1w9qv77uHoQ4y5sZR2NYBWch1avJ/SD3ihNuHeyWjyRBRSl1ZslhbKaDnX8GgWN9xZ6xO2La8nFzxO/4kR/j8ZNzXnr5K9Q2g2RaSKAU1hXP1kw2aEBsnQDHeemrYN1Ejn2PqPpG5TanZDNaIkS4bDKHEwpCk4EmBqRS8yp5HmjaFsY/eltW+3x58tBKYS7FA/B6Dzj4bwpZkaSgFW1u9yiC1JBIsXpHT+xdbrWs0qiQub21xr50IioP5Oxudpp6MmIxqhmpFZa7LsO9OST+yt96h5/6vff43/z57+LTv/Iuv/zlKy72imhmTIM17WLVleNc+JHvGfnnf/ITfPnlK/79/8+r3EwLE21xNKOi3tOykph4HDnME7RQEgbRVA0oq+GJUme05g5kh2S/0DDAnZyEEAwjqQiaPfkLyRLW6yIIJ8fHCHB1s6NErOgyYAPRScSrGvYwDoeDzxYoRoJZ2mhJA6BesTRJ8lKJsmRxIXEVIyymIvzNX/oMh3nivHhjrCaQwXpCdPa1dRtRm4DVV0fo4NfncRBsQZb4edgxru+rSM7Uq0uxlgVZYczf+PWeQXwtBlxrmbm4OOP0zjF4SaBpSCBsUdoXWabQhRZRkrisxgF0WwJCDBRqeEab1A9eAcmk1CAfcef5ezz7PuHxO+dcPmk2HEdiamow6L7AE6AOojXbhqWy1caIMCsc/OAP28v+fUMTKAELLLDlnDqDDgbCnfN3vZMz+D3jt8MkynMB+EIPpZ7x1dBE2lNcbcClAVdCIiLGXOc0cnp6wtHRlocPH6DTTEYY0mC9Asnu8zhuKG1Cm02gU21IHuxATpk/8s/9fs7Orvil//GznJ48y527L3L55DHnZzv+0d/5PA9ffcSf+rP/DP/Ff/Q32V8n7tw94fpmx+FQkJSxYQZWjUC2PP/+T/LCBz/ISy99md3120hTWhFLxqTYgQFQnY3x791dutUTPl/wvZnEE4c4JhrmFb5MR1QWNdzCbC0hIIKx658T1hypipaJMcP12bsc0mhrpRYqpQ/JMoYrgIc6K+7pkYp7VFekCk0K1uSSUa1Um1xhASccOySORGug1tp8cqn2kmE089hgDgOzcc8s74yN7s3fzSiH24nRsk+jwdG0qLnrh7vOW2Et7Qr5hvgwGPyehtSiFpeaxSbRJQgp4iPjDXioGGjKkZS6vWTsIw0gE8/JsIt9z17VWzVUC+7y4smIRHJpREF8RnOgFwxJB7f+nWMKp2AgU1Luh3L1BvcsA24UQ/gFx+2ttZKScLTd8Oyzz3L25Jz9/mAHnR/65rhqA7wGETZ5oMwTSqNJYnt8DGoN1dM8gYycXd74NM0eGXq8VA3dffI4ac8hexOgdrYvNLkK/b/tuaoHt97MqEofXtMaOZmUQVwmJhr9Q864e6Njc22x9Sc4eG3BVloD65BtdH3VSvWmx6h2pvCab+7HLrIQKSyAOP5usYuzPR2uLHFoRgE9ZStb73Z2PiRv5q+S+Pr5GSKFQzK3ppw9tpeJhg0BW1efYuJxxtjq5uCzy1tYkqs4K8LLPJJLETMbGIeRzXZkOuypczjgWGhJrBx2ZJFvFR8auD43Ur9H9Orx0geUXMIVEhmXx6lFzt10zWG+oWrx5NYb+9SH10jwCqu15JtOPYbE+u+AtjlYSolBBq8y2mh741tsHyYcCEsmdl7C5mfUpmhOVEkm91MYEoQRg8khAzAvpFePVX5Nu+nAOFgDZ232rFiBoqhqWHLuhIK79TSMIOlSJZSykh7108UOdsMzBj8sKbFlyWYYUXcuQ4Sj4yN3nbMGV/OcXwi6oQlk22fT3PjvfvGSz37tmj/zkx/gp37f+3n1rWtefuuGx2dG2N05TnzqY8/w3R855Z1H1/xnP/cuL7/V2M9bNBnuKsXkLPM8k4eB/X5PEI02a0Yc1NspLFLtnFZjabpyAiE1fBaBTd0Wmanh9JP8riRzeJFkwL45WMXPGfHEb7sZee6557m6vCTLgTQObI+2VvX05vmcMkPOFMzJCLV5KvPs03ODTGDpXQizBJBOfnUSBovD43a071xmptJ45eyGljItb62y26zPyHoinVV3kiqkuNKbch3eu6mLrbU1GRE0tVelamWuM4JVuNTPU+mN8rYemtYO6n+z129p2FOthf3umm+99E3eeedNri4uqM3kEb107cAxwO+SwNimUzBLIw80IjHAyQYUhG66tULRgrpfZ6ORN0f8+E/+Ef74n/6d/K3/+mf5e3/717g4e+KL0QBWcoAbwUXEAmNLikplbDMf3x7z8Wee50vvvMmb2pA0GkvkjRPBoARAikMjic1srZ2Rw2UeLl/AJ7c2pxkkAISBy5x97pzfK2OmTdtqjbgeZX2xyCoR6yVRbNNpU6oql5dXHA47tFXunGzZDhumw8TkC7225YDXkBTFYajCBz/6fl74wPv4z//Dn0EUnnnmfXzoYz/Ca698g7feeonpZuLlr7/O+z73fn7XT/x2/v7f/jUO056i1Sz+xJIsiQFVacsHP/wD/OCP/A7eefQu17s3kdpIbPxAXgHqlSwqWH3JQz841VlOWDZiyt6cJOLTMps7R9i9sediyC+sx4KHMgaG5ZDzsq9t1IygqMxUqRyfnND2g2l7/WCttZHy4L/r2bO/d2tehlP8oCkglSxinfqWnTCOie0wMhdlKtb3YQcJDO7sERWZACebceAjH36Rm6srHj58hOTEHMzlUwPGolH39t51gKqYVM0uxUGJy9BaNeDbpP/OWo8b+2KRqFjSUFu15mpPVJdBO7bOlwoQfqjbISngYD4giQMHcScKLImzosFIlGHjaXawnkJjbAE6yrYBZP3J+54Nhl06a2hNgdnjm+29ugIGokvzoO0937ss1ZAUkidpHB1vyVcZ9sY85UHIY6a2GMajDFnwWXRIzkxqVn05GwFxdT3TNKHq1oh17g3zije2uT1fws5bkjczj9ZcHWs+YlekHOrgJYsD51rJ2YZW3b13j1ILF1fXBpr8N0OzTAqgFgm10qVzqp3o2R4dsb+5cQCbkLqqXqoPXMPkFkbsa4+JkXumWBtVvTFRvHqZkWEJjDVK18Gu9YMW/7PS94YvMO8xEkSt2pk8verN2qpkn5La1HytS4mKYgBsbjHtvaG/Jy9uK+iNjUkcoCpQC6ngCbVPAw1m2WPd4nZjcTIhHB1tgcbszeGJkJI6DSL02QCzA5BSwrZ0NTF93vGFL/4qDaXUiQXdiz/vAPGpyxgjOY9nbnfazpMmiWEYXc5lbPs4jNaY6oC/IWgSBhKlzvbfCpls2nfBZTXN5Ww2wFAFKorUZmshebLuUtZu3xlgU4RaKxdXl9Yn4lIIkzP4PW7NJ5xHJdfPXA2SMZrrI/ZJB2kRV3qMESOfclPCRCoJbDcj9+/c4ebmxvaqV76J2Evoo9UJTo8vrVIdzGuDbz2o/Af/5ds8ew+++2NbPvmhEz724l1Elcvrma9965L/799/mwdPCiltaRVKLUYODf69CSwW+39xi7LYNoImr7xVbKKxPxTNVN9LZsFqFSJFqGrJrHilP8gSTX4G+vcMgjbWYauNMleur2/MoKIWhKE30Uci2lq1anUnNcXm4vgG1D5kaakcGtFifx5EWN+v/rPboyPGYeDq8tIqcpIRGRjSQE2zVcbVcIl9hPbEx9aGk4vBJEjIlhdPePv+Ue1cUz64msF6z2yIqO1xFTuTgxhQFkeq3+j13kF88oy0FJ48eczZReCSxcZRQw8Vnftx0IoFsxoBDkXbMnkL8GEqypA8vKsizKjMNLVq65Az95/5EB/60A/x7LNfYBi+4Mn1ouHqshNAtbr2baQBlcaQ4EPH9/ihD3yUR+cXPDxcceMb0UrifqsjM2qYe0izRWqHeMg9DGhXbZCUwWULRpnIUoVAGMaBITLhXuVe3iulbJMRPTtrdfGvv/Uc+jliC/swTZQqjEPi+OSE0+0xj6bHVnp0VtaaiYRhGGhzIXz3JQ183w9/kq/8+tfRffPAO3L3+Y/xIic8fHLBfNhR08yXPv8q//xf+EP8T3/38xwOvri8Gz4WLrUi7Hnpm5/lzbdf5uzsHQP3HmybigETAHVtb2eQxQHKUpaqWhe9qfrUvGC9NFigFUj3HoQ4fPuQqPXNEy93tph66UDMGyhVK3MppH0kW9KvXzwgLt/Hx4w7oxtRK5IzC3WxcS0oJDV2YS6VGHtdO2XQOBoGVGA/zf3Rb8cNn/z4x5mmA4f9juubvSWmkbH7/hNvLow5AetmuC6mCjmMWik/PG3tPtnhHDK4lNyRoOekyV1R/D3VAuX2aNune3oA6Le7jyoHkgP0eMOq6ppNPzD9+d1a7NhAJdN3Tw7aHWDLUqFBHGyTOoMY5GFEndTL2NqvQcFKs+BStIUZW2ZU2L8PwwgegPtUVdwKsSnzXGxUe2lWfUJtEmB1J6/WyKIMWhnGjIxHtFnYzIruYdbJDnXCItQB3DB2SR5g1c5WGKUx5EQl24hyiWXkjcsOQnI2CUObC2hjSJlxs6HUQp2LM9iVcRiQ7PMlqsm/xPXQrRREslVE1BsqtfVpplF1RfA+AAe5fiBHGRmBYKmaT92NqdWLEYT6JMnse9LWdCTwHpR7Mm/kRutrtrPV7qAWz6cWH9CSnNGWOCzVB3DZTSyleCPssh4i6e3SMl9bKZnLS1RsYigVOdsckyRMhxuLBckkObVWj6GhDV4SRbuuRc4mAikNVE99/ZhDgOOjI5IM7A4HSj8v6Pe63wffL1q9KlQLU5lIOfdKsbHIkX37/um/b02IKWeXgHtFEfVn5Al8M0JqHAaeeeYZWmk8fvSAWmdKMe1z80TaLGRLXwuoUrR0wiGSIZNUeMyWhViLaqI4I1tbNSZ9JbOxKZ0hg/V4aKxB71erThMbwIOcvRcL+lmPRBM/lqyTvfrmTbmtGcjzJDUB7XDgskVvk7n+RHOr+nmRc6bU4lbBS3UTsapRgImK8OgSHn7xwP/0BYuz2fu0WlOTFWsm1Qo1CJfqFobGHCcHibVWRL1anwZLctQwl33vxjhmclImb4CX7FUlT7BsIFIoDAZytmQp+Xro3v2R8AYu66ex0nTm8uKJWfV6r8Vyhtir1cbs8j6DlXIrLscZsI7Z0V8UA8+ar93YwwD73Y697zlLfj0R9jgd50mfnK6LVE7X/x09ILUtM2/UyDj63jXS1yx6FzzctDGQPQ6u5qb434fc7r283rs7jR+K1gzRoKoPOIlDeilpEJvcF6s1vXoTy6rkJRLssv1JNOtMtTEKiATb62zOvOMffPrn+cZXvsrrL32V3fU1iXprgVjJLQ54QZvJFgYEqZlDhs9dPuaVr91wfjjQZCCppc/R7G4SA8+fLP1ydsICTOqlnGaL3LPvQXBdrCUlBjTdA75aw+968VmW7IwxCzCJjNkI/VUAgh7ESDhgA2iU2nh8fs5VvmaeJh+zLkRBMPTFiDMtap3j95+/y0tfehU0URh5dFGY9T7f/d2f4o1X3mS+viBvC1VG8mbkzt177K4PNC3IYXI1hG8yFaTtuLl4lfOzTEqFpOrsRiPJQGNA1VwiHBEvjYKuG7/VuKyLLMbRvAX5HsDtgA+OVlV9CJDpRGnxjIz1aJ6R2+20pFPUWCrz1y6gyn5nDjCCN7AhBnLEJpnGIW7XGe+HA3l/9il0i3bvhUydK1d1R3VrMG3qFpMGeO6dnMCQqOcXlNKQZkHn5W++zAsvPM/R0TGXl8aURlSKxCXuD5FTrNjovrZ6GXApF9dSluSj79lYgx781JJA8yi+bem43+8Zx4HtdsP15ZU9j8hLVuvbrjMYMaW4S45Ldf0eBsj2ZZ6Sxxn1qZXLtQVQUTXZQL2VPPUo41pTZRgHNHzu03Ig1GhMkjjwpN+vYCVba8x1soOkJ3GLLloQ08/b6e8DecyfYarmzjVgrXujwAt377A9usPjsx3XOnFolVKb6XRFbQhUSlQGGqmvW1ByK2yl8czJhqPNyJObievq/vB6oFV/7pHweDwbUvJ1w601oGrzCh48emRTV6vJM4ZxNPlMrJ9YywkjYTCgExIcSULxqsHp3VNjH3f7vv56lJMlJqGtSwz7mnLuIn5W1UCcaNjUeXxWMd28ExQ26Gpp+o64EUlbEjz2JIzlWp4zBFEg9Enaq0psDL3ptrqebJ2ennJ8dMz52RnzvOhnW60We6ighZyN7OlN7WhnDZUguuK9reJoUjX/zsn2WUwKRXGpRDPwpQbQzE2nrfbGAnTingTTb5W/1kmE9RnT5XLV9dpipEjMZQgiJSoM8zz5Z9q8iN20R+eJ42S2voe5MOjAneNjEOFyf2OWw8RWt8+Ozx36UCUnA5JQSzOiS1zyFhSOGkGQnBCw0L4k6/H9JcKjx+uopKhX1WQwCVYSgWYucr3JX2HIqdvHBkmZvCkziEppYjLj1ijaqGRs6qz2NRbfqVbbQ8PgAwZXDMa3ATiN/e9W3BJzVcoiC1KXoCa7X3GmdomZxj62G5Fdelyrr/tiVbnnn73PBz/4Pl765ktcXR3Q+Iy0IrJaT/m8B3LBL8OYKZP9juFGtUrhSs6kKJujLXe3Wy4uLk05wLJW1+sx/n3doLz+2TgDWv+8Ve+W0vdX4NHqVexaLe6nZI3DMbuof27kl6v/71EQ4ozRwCb+AOIw1iXRUp98vtlYRdn2Cv36TBu/4JeoGvH/bxB/cnpEKcUCCcEy+EPxm7pYtZk0pDOVzbS9dkBHJh164dsPRDEQNgOimcQRA5khFerhkjde+hxvvfR16nQAJntfaYQ1kjEpYXeVXG9uOrMx2bTBd1Pl3WogzS0iAqv37F/9oYR+FwfMVsL3ZxWHQ4oAJNw5OUGbcnlzg1kdGoMxl+JVAwet8aRhdT8MzIWmGFlkDEAvf8VGFg2Nmn2HlE2OYX0FdgY1T7QiV9JbWZ/5VedNRlplnCbYXTNdX/CRH/phPvSBF7l896ukTeHo5IhhGDk5fYZWLqhlQqt649iCH1NrpLSneduyVvHgExMa/bl4ImGDGBatWTgriKPrddJj92lpyElJvCQKMSEUWFgSNfYN1+gJ2RurrUk1KRxtbJR8acI87zu4WR/sORu7cHx0ZOu6Rql30UiGHjsG4Kgmnxhoz1nFymdI7jrBACkJAxhJGzc3V8jgo8Yt06XWxptvvcXjJ0/Y7XbGhknIDOK5Lv8R+3LNyEW2H2spe0LSmo0QF10kDes1GdxJa95UxrLe8etYwI9fQxygsa/iZ1XBJQSSXcfcVhK2VWOcAUY/4MTB4erdAtzH90opITmGyHgWA6tZCaDeDBj3wSRRduDG9OE+kt3fN3zWx3H04ShWdXNU7fIpPxjaMnVVPSgz+wGbkuldUTZD4qPP3+dD73uezx2+wX5/xSRKGQxY2SsvQ/BagZR9PxnTN6bEi+9/gQ+87zk++7WXuLrYe26SewwhQIvYgRLAUFUN6Kr22QI4O6S1gZrbkWE7Z2SzurNQMElxtGl/Hs3lUyomFRhlNBvLUnrCo97E9W2xDkvKU0oOdhcpEGI+9GuQuZY6Jgedx0dHJtWohT43YrWOkwjjZkMM7gNLXtYJacz6yEHjqFeCqj1zbQbgU3IzAncgChY9XDIUaxZPAtuTI+7du8OTiyv2k7HPEkymVwbiOsESlqbe61CbOT+xrNvQnk/TBJ5YRON39dkO66QoYmg015nuO+Rqy55X4hxOpOQyVj83iu/9eAZJbO5HXPza0arUicuLiU0rfOL+s5QGb549YfYKvSUNzStGQs5DX0+g5pykXvWOhE4AMeA5uNbdqtBL3DdCLM4LA5s5+mQwmcl63fhf2VmCxZ/cLA7EcaKeoFuF0mKFNrPjbCjS3B9eGqVWxiQ8c+cO83TgetqDr1Uh5CTR3Nh6pae76i0o29eG3IqF9vyjinCbzAi5oe9Ye26xnlo4akl/LxJUpbuFGWNtAa3WaoPOyOSUmavJ2KJaFvptnOQxFUYMLlxIgtWq6hVZ+2O78Ye5knIoBuxLr+N5nMXrtR+TqIOAiu/Xf9YrUkMe+9rubk+R4Pnei/hm/75KfH0HB0iPPXcr7jdFJZIGc/2LeNNaM3KhVma/xpSEk9Nj5mnyvtFwSIyeLG5/z1r68/vNXu8ZxHd7J+gSkeye15LMOioO+8XfWntWXUt1Znk5iNcAvv8ZyrCxYTJaR2gDymAPYNij7YIy76ElJFWftByBKhE2a+GgYj7jnj36wwztmjgbEtdi7hEWxFD7O0sEsmvLlw5q9WzcSn92lJVmSY7C0rSbM0dHR9Tr6wX4YZ+fIoNzViCAcCRznuNbIMasuGyR5369Nt3SgHEeNhZkSkFyYrPZUjnY9aWQL6SeqKDKW6894KOfepGXvvI6ByayPuSdd77M2ZOPMA4T240NV/jwh55lMww8c/85RBNXF+fM00zOnh03JSecY7LhD61lW2Ix7bCpNw16WbctC9ePWzxpt2cnwUgsG3lp5IxNcBvkx6s3v2XT8TUs223eqKLNwNCzd+7x3HPP8daDx9w4+x5JgAGh5bPDTSI+Ka46SrNgbD3amCYrkQZAUoEiFmDtUGnOBpt07MiZp6nM1qzte0j9n1OtzDdXHXjhSfDROFJb7Y5Qy1palzOXJLknJ61RXHaxMAnxFuLl3cGepjuNNGexA7D3g0TMNWC32/m2186GnN69w+5mb6whq2tzMGq4vvXGwYDfQZxYz8gAdWGnVJVhGC35qoVwFTHZ3TJkyf6p3jsh1Ll6k533HjRPSiT1pPmWTZzrVIdh4Pj4mFIKh+lgsXwFfm5NkfZrR1p31igiaM5oqrQG23HkA88/x/HYSHoDzGyPT2mmkrGGXwFpsBHhaMzsS6E1R4WSmSg8vLhgKoX9YfZn6s9PI0G0exDjzFtrfd7Aij/o67TrjcX0uNYDIgbT0kDzBKB6ghnAItjjACW1Vs7Ozy3Rmua+/pJrVGsHWvbsA1SqLs+4OcMf2nhjX9cAQRf2DWA6cMiJcXyqpwaI4XE5D9y9c5dpnplrMbeNpmyPtqhivUWdTFkMBWwtpc5AB6DLObHf770SNa5AfJAMiZzgAx94P5/4xMf4/Be/zP7RmfXidFvY8IyOM5Pb30uCeHEnodZ67LLz1e5VcV//cRy7lGHN/q5JCSKJXX1GHDrq67mU0CcvlYIwDTBNxdJgnoKd9sRsrj5sLMGTwxXT1EhDJktmv9/Z4MQh0+IdRQwUNZMzpmE0kDkXX2epxwNLrI0Rn2Xx0reqJh0Q3bLE1dvfMeKDerJgMUA4HjdsxszlfkJYHN5iwrmIcrTZME9mywqWVKBLUphS5sUXP8jl+RN2Dw6uag4Z0BqUiVvEqmmxfRp2VKIknltkMf5dhmFgu916cr8kLF4CNDVE/47L+/RrECPCSqtIwD9x/bjYXJYnZ+dcXV4xTzOqefk5B7x04l368we6VEwdA/a4oF6FldzXVM6Jw2Fmnm2oZyeBWK49gPz6rInP6iRdXarC8bsishAHKSpXT52JAb3WfZm+Frpj2sotJkBbT01WZF8Mkmu3ni+3cKAAh/3B5vqEbCfuKSsJYP/+Jil8L6/3DOJvrq47g9zctknE1k5rlTzmDm7UXSdyGhjyACQrmddgt8wScf2A+kMCqJUslqlWLVYWdjylrkFPaln29mhDbTO7/cH3aDL2zoGj1mr2eUDR5ro9r9+j7mAQbJJBUF1lcIOXRA4HY/2GvLFN0IcZwfH2CBHY7ffc3BwIT3tIpiur1wtj7k9UVkhlXdaOZbA92rimbwV8WC1mEdda2VZShf3h4DIVm6IZwHIYbWAUzRbp0O0sK1/+tW/wZ/+NP8Hnf+mL3Dx5AnrJo4ff4CtfusOjB68hFO7cvcuP/vj30XYj3/XxT/JKfo3DYc9hPpBQanGWVBNVKq251aTLlKQndHb4GPPgjgESjP3CsAveXChRZl4dzL5xAUTC059F94b2hDPAQddJiQGkSJCSA7ubqxum6bAw+Kgfimk5WFGz8azNGl/sApypGxmGgWn2EmKtpKbkHM+6UkWoArUlamncOTnh5O4xZ08eMqpw9+iYWivnextyIlW9safHbwcywZrjjT0eSnucX5yO4ne6PMUB95qRXzCremKZ/B1tbeoqMPnb9/W4NLPrrQPFjH+swa3bgSkrkLMkzbHPBOlWeJvNhtYah+nAPM02VryUW+zMOGzsOe+vUbXBaehSoQn9aejpA9QbsDK2umplM26R5gOr1syPSxQsIZtWbE+i42AxvSNqay4l1w3XgpZKE0xkKwY6ssfL68PMl15+jTZd8/iiMk8jw2bLRuCgsyUAXqkah8yd0xPq2QUHrWhLVHeWeefskicX15QGkkaGZIdXHrLZozXTBddWGfNoqzjseluwm7FGnRF0+7mmYYtXae4ukzMmh42qDs5Gczup0daM6W0L0IOlMhRryOJUMjY12DGPSyRuN6YpS/Oo+h8Qh7CBvMNhj+pmWdsBOjDCYKozVzfXPRG2xD4xbjYGinZ+vlW/QQ72WtNeNTIgaURMVDUQYXZXtmFwa9lWu7/0kycXIG9wfb2zRu2oJLSFQY1ZJcqKOezJCuRh1VzvVdjexI3PZpDlRoV8QH19aq8+fHuSb9WART9vR4VrerMlNIt0wZK0ZkJ1xBOtiLmKV69bozTlqk1kydx//nny9og333zbkiCxHqla1e1tAbV5BkQVKA3eHO9nng83O0x7rHHYq5EulexyrxWeaKtYHf8LEiTuTRZhTIkPvv8D3H/mHl/52jcos9upRrJYKyfHx9y9c4fzc4tpNJs7EFUPBOZWeevddzja2OA0A6mVYdhw75m73NzcLIPzquGP4+MjylzY7fdIdqeY8EBv3qvX7UPFKzDcBvIRQ/18WyobdJeknsytmd9kUqmUDcC3ZjGmzMWkQYI12lqgXlVrIymxe6O+VnTdRAU9N7WYoH0NqQqtOkHkxEOPH08loKz2RGAlk7/WTtiKLFWYkNUglpDGuiH4db88UwREBc6/i6r1Y4p0SXTfl3lxHhS3t07ZJLsKiFcQjZlf3LnU99h+f6C1suyjEvLCJfFf2LSo3Pzmr/cM4stUOqtYa2GzOWIYBmrdAzaqt4O1dZbiJ565ViiiQilzP5CjPBLsXHTQb1Oi5caeQqOQckZlgJSQIUOxL1pL86zYfHK7Zgv1zW0uCE3MzYVmA4JO7pxwcnrC9fUVO2c4g6JPOTq6FW0Fk0ZY4I/kA6zZVgQ/hACSD/hYgFRToZVlWFH8X8TcNTiNTTbkzMnREYf9gcNUzF4sNF6y+GvnrN1lA+3Qqx8MtZUOYGwDGuNTix1CrTWuz3b845//HP/SX/jDvPJzv8zlo2tevnyTL3z1hnLTON1WfvQPfYoXX3yB8eYez/7QB2kCF5dX7A4TpTVbvC0G25iW1zZVdeZKSJIZkiDaGNS4egA/v5dDQM19I5GwHnvph2Jk/ixP2O+xuazUYsA7koQAc00X7bR1jBvL0hSu9juuDnv289JULN6QlryRM+zZ4jkk17NbABDu37/PvfvP8OYbb1LmHYMoR2PiZDtSyp6UlCLCAZhCZoM32nkSfH113StVJyen1FIp+xt8Pg4pu2+3T+kzB4fWJ0rG2slDvjUF1/aeLmyUKq5oW4F5PwCDUWnmOuEQwvZEWgbHxGsNliKBEHH3I3+f3c1ND6illi776SVENbCqLEE6nmm/fk+8BS/Fq3A4HPrBmaJM7BaVcT9iwNg8R9nXmoFrmTFZTCKPg5Vg21IpsGTOr0XtEKzVp+wmr/Y5obGWLdj9sYmsUSIvWv3nBpJkJG/Z15k3zi64e7JhvPMMx7kxz5lpnkkaftW2Pvd1ZioXVLEKgiLesJ0gZeamlOquLD7cJAY/WSJs9zDKz2WaF2bLD2CwyknDp2mnRY+MejNcPCqzwnGyQx3AW3JisxWDBfXPdVarReKdUvC55JTYbrcwzRSf1B3XahjUGP8kS4Jna8T/6X8WrJ94MhLrdMybvn5C1rk/TP2eJAfGl5fX/r65x+S4FtM/O7lDJJ3GzDaPb3HIg5FM2kyGEknM+eUVVzc7T/hc72p37lb8p+fat/XDiE+kFEsSBFyO47szxf42aUKrPhAqwHdaCDZWez724HrPLXKG3MmSwaV368pkOHvhiZKQuiwt4V7wCK1lNpsNx8enyCaTpDnQEwM/VWnuBmMAXphr7UPK4juGDXVngKPvE0FEUT931zFqGAaqxoC21u9tB/vZrAIRcyx6dHbG+eU5ZS5d870M5DGSzprKrUcqOxEX74vHp6t5giFTJZpXlwphVKrW7O/1jbnLmXx00etbkrz4hRf/HnP0IgZ4DHYlYZUt3/+xhoPgoqMOi7b2DJWjo5HTO8fs9jv2+4nWMuJuVDVmB8TZ4Z+XHNvlwfzhZ28Ej4TPAPTScxY9XC3OX4l4vWTpcUbbYEWWHpOnQH3E6LiPsYbzMNJ8YnWSwWNo6w5W6j+XUrLnsVr7SQxX9s/zhv0wUnAlVAf8CVnFNDt3zSK1LoQz5nKFk24WO3KPU+Hc1M0mehK9uFW9l9d7BvGDB7Lalk0QXfzJWStp6kme9K7oWk3yksU6mIP1Dj/onId4hgzDxhfeQNEJiGy6esZjJV1Rs/ILy79xs6W2A30QktDBI9giaphUJgmMKXN6fMLR8TGXlxemN1VxvbSz/q7TLtqo08Tc1ICwV66MpTImeT/5AKM8EBPmVN26LjKraFwRhQ4YHHDHIhVjlmqtXF5e9aSsM/XVFkZK2Z1dFGmmiw/nASutCXWerWwl4h63mE49snGFJANQ+fqvfI1nKPzJf+WnuHrlAf/gc9/krUPh+e9/H9//g58ks+Hhq3t+9Ps+wfyM8PIrb3Byeo/j3Y7SCi2YeGmouMuCCINvPAOR5kMxJmXr1zSrW4Sl5MDfgR6WPWtUmZ3BtBHgiShcdRaib1C/1bUi1SZFWpERl+l4QoEDrKTcVOuOr84e2PuE5MU3bF5Av7lRQNg/NW3c3Oxo1WwC0UbLMI6ZZ+8eU6bK/TsnlCS89u5jA4Aycri5Yd7fQLPkoSGEv2wrMMUEUFu5/rxdw6jak91WVgwLlsjcamgU6f+0ZszbzTtRuut7xoOsHTLuziK3A8q6zNmlNckPUV8HqEle2jz3Xo3aZtRuHggMQwDi5o2g9p6Hae8spiyIDedRxNjZhWFTUlKGYesEgbNJnsgW9UTaT5M45J2TYa7FKhtRMm8+wdFXlgHdRQLXNBjcBRg1B6nWdKg4njGGUo1FDSeKlIyIuHf/Ht/1kWfYjFtefu0B7zy4IrmmVslMczFdtMfGaCozDb8iw0DFkgZFuqbTBhUtCUncv8N86JZoefX84tkFcEjZyJDWzIZvyJaAW2nZ18EtOVWwtrIALEID2/o6TOJ9GerpgQibzYYXP/Qhnjw54/HjJ66vcwmQW+xVt+U0QwyPJ0QfBV6RCmkj/bsPeaA7r/SFK71RW9U8302u5Q3equ513/r6MQDnUkCPDcNgTmMxzTW8qVtry/j3ngx570UBJff3tR6x1ommWPvxvOL+RtWb6K9p9oxyMs1t99aH/t0CqMSwpZy8v6JVb/u2/z9kk62GtzUBLkTNpSgN/R4cbY9RNdmc4dXQ7CtalcGnFTd3BLLGgoFDEea5cnjwwKrjzUwG7CHY/jaALa67hlJdJ02QBAZOQ14ldrONESVim8XH0at40zT5WRLSrDWR46ElWcXYnn/jajpY30xPGv3eO6FjfUFWQcwp2ZTnYUkGxM/Yq/2B/TSZXl6GDtgeP37cwagtdXcnKxXBZMn3n32GUgqXl5dOQth6jJhl5KT0XoC+RmhuGWzXbeZNVu2xabLaSZouE1ElSeOZu8f8yO/47Xzr1df45jdes7M6ZZfwGglaWrGk1fNPdTb5Fs5UOusd62az2aCtMs+Tn5+WfamonaGyVE3svixqiS7TaYsbTeyNeV5kehCTb41QzK7cqM2mYlv/pq25lDLHR8ccDoduaRnn2EI8W4KQiJjrfXpZel8B/v2aryd0qVpbJQCPjc33d5Ai8VOO18JgoS57cL3/38vrPYP4GF8bYxqjqWzN+kk2DaD2Q9QW6Z2TE0QS5xcXTNUsixLLQRAPsdZKziN3799nf7hkmg6uo5QOgqWap69NcLMAO5XZZBstGA1FxSZmCdBEAEs2JAmzFp5cn8HNmTUQJN+rzsCr6+pDBahimb+N3Ha2Jtuky5hkhzudqAPpNFrTk+Ks48rTdB2o1ROf5AE/gk6puN2i6aXKiskaxoFxHJgOzQJ6M/CirVHdm1y9BFxrRcYMaeR9738/rVQunzxBy4R9pHVMf+5Xvsn1wwve910v8twnX+SF4xMen13yCz/3WUY94ge+7wd47fQujQ37w97bC5oPZHKoLO5JLG1pKvFdP4pyOiZeeOaYF1+4z7sPz3hwtuN6hn1vEoGUlTwI42YL+4lSSm9A6QdiZO/O3qT4vm731v3bmyU52ZOlMEwKYA8+JCU0K7FxHICEr/DikJK8o93K4KGF2+323NzsjKHwwTWqysXlBdusfPjDH0LzwNsPzmCld7clIZASRyeniMLN9Y7DYc/k4CXkUrW433FoMKNM/tQeCqAU98c63Y25S02wIVMGhCJLCmAcpfQcdlksunB/Q/vXwNYK261Nqa3VG4CrUtSaN5977nnOz8/YTZOBx7BK9ABoh6Nido2gWJXPmkwXq8i1JjIAYHz3YHeKTwbuzUviCcIqWIZuNWRpFsfM4aNVl3ZJYuOl2i5DYnFNUoE0Dh50vWS6mmWQhmx/54FZgDpXapt602sSIbVEmyq76Yr9vGOvO0qCzXjkpFcxwIARDAklaWFI0JKgCUpTqkJqIK5rjbHpKUUFKa2YHsNWFoO0N5imJJbkpoXpcvl5l5Jos7hr4MMO1yFn0y3bf1hFTG2YVxJMarBKhCK5j7WlrXFzc20yGG9Izjk7yxdN2RlV94MXX3wkPw86HWv3uTZqm3oZOio/tj8WK1wRWZxhmq2BLlGsCzFg06Jtrww50/WcmBe/aXs93viahdadQ2oJ4BkEgLAdEkebxDwpczEAnYLIQq0nwysQqkvDvBDJgjcQu1+3rdNgER10Yvtm3IzUufZnXN3fug/wcdlnEhZZg59lrdp5OQ6Dx0NYtp5V1MVjBc7MCjDNbVVFs7kopVXKNLHZDtQx90oW2BnXSrU1opYEgSWaIL3KBgaco1+ts5V4JgeI5MWmUJZnTT9y7RnbJODmMUcxEyAnUIiKg59HnrBWB+5RmYyJpxFzU1NrKo/zXSxhq9r62rCKvfK0xt+1QzZHoz9Cq/LOJWSnENWmGMjVb7MuUj+cpKjYGYXCZhwNhMZGsXcnPkywaeMSrHCxNWLx02xDxe/VYh1uLLg5v7lE0T8v5+jfcPJJoJSo0Nr3TdFj4nE4ehntTF7JZGLRefJmlXqfdO5ORfa7VsEPbLXIdpZnD/Yz42ie9Kg1N5tsN5u8J0hV8KoSvam6Z38REyWUEKnjOEumo3KcLSEolqyMThZYf9VsSQSmUpE42+LZtyDGfvPXe/eJH40JbrN7Abv+B/9gwWV1sgB91WIMfJmNocaYWhG5ZaEVbE6SgZQzJ3eOmOsNUhLbcct0kF4+bMXKPMkdaVQW6YqIWHnMYVrITrz4xeJHrUyHQ1/R6ndP/NBNYV3m01fNBQV/7wo5OYhjATTZGhStadMY3YqVYXJ2Kyh1mzNnU1oFs03XvuCSxMaOWoUGjiCiUdNKcRlKSFDs4HLXF19kpycnKJXrqSGbUz72qR+glpmvfeFzTFcz6l60mhM3NfH5lx/Cy09o8lUYBsZh5OjoiDund3n5W69SSiEPGx48fEyZD9T5QKueEQ+CthTpp/vGjohksihHuXD3pPETv+uT/NRP/iif+dUv8LM//wVefneilexuOuZhfbQ5QlKmpKhAeNOOBijwj5EAaPYHyTvCh2HwjWhpmHqGHoyhqQUWwKM1OHd8UHBzP2C75cG8NE8GLLv2i8AYBYnnZqp/ikLJA6UVvvraO0jO7BuQzWCu1kUDPNfGbj4wSKYmY7dinUSgVwJQ2vUUZwCeztgXa61FF4taoiIr31sGfzsvG6fWz8KVVMjXJaCuETarR9hstkzTfuk3UGjFJx2nxFyUq6trSmm0YhrpNNiHmvzBMVFznbkH5CEN/nbqTWVWvctjBpJ5sHswj8AZ19ebntWZs2A9/GCTYWGJ6d/dPscODQNLolatQ4SpWGVIPWuxzzZGSp0tDBYHpU8WFDF9b87CNM9oNY92Kr4vEo8v9rz19jtcF+UwG2AvVMYsvPDMXS4vLzk407mRygvP3ef+M/d45Y23uDrMiLpEJy1mAsFo5lQZRFDJzF3e4omIH3pdsuHJrYXDSEwMFAnZQrpW2xfJ9lXVakDPf1gdGOWUkFbMIhMbvZ7yQPJ1bT9tDOF0mHn48BFlnm29qqK10iRK6LZfGsYMK2AzRJaKmWGgRmvFQFSvkKrvc5OX5B4jsD4oj+uSErPPzkjD4DIpHGzYfk8pHF28PyclYxab9uSjAZKzPQ8F08EpqgWGbHSQKs8cC3/oD/4Yb775Dr/2+ZfYzUs8C528txJ3Rs8koYLq7M5vdg8rUUWxBEMcROFVCpAuwQuAgvRv51Xy1Ocn4NErGoHLXCipkdLA1PZGkuTEKIqrP+xaxCoLyznkfQXuZvT/Y+3ff27LsuswbMy11j7nfI9b99at96OrupvNbkqiRLojirJohnqRsN6ynBh2YEsWkABBgAAJ/EPyHyQIEP1kO3YQQLANxYr1FiiSovgSSZFsmk32Q91dVd3V9X7c9/c85+y915ozP4w51z6XBsgS4E9qsLr63u87395rzceYY4yJKKSR/Pxx+gUFUgHUSfECoz92W+xBY3PuskmYBZEJp7VicHCCessWBVRvZgII4TPNiVOxqTrN1OB7HIxTMvVC3V23sk+mYAcxx5tCZI7cRD1WJ3hBG+i49PrAwN9Ba/NGNS3nzOsFUy5vpHmP+7r7FKg4WAWLoj7ibjj+8L404fsPHkI07TlzU/DcKuaJ9F8i9BmPzq/xm7/5FVzv95icomPqAKJPONhYxY4X7c+ngz9YeN3a3OUKwH63R8oZq9URaixN88bREUsHCx53iQo7VECARgeglFnvhdVzc5SbYSz1HB7mGIKEEvic0ta6VWB7fYU6zxicIt1MYUKaNUuiBLHqtaN17ZCI8acIJx5SEqou9EHr9MUFWAPLZT8fAfZEre51nioymLPE6w1N0vPx7/f1iYv4/Tx5pwo/ANb5YpICJXCud0q9wGkwXG2v2ZnCub0iXMeOQNj4lAzAPE+4e+cjzHXu4kwRwcnxEaoq2jWR39YaVsPKB4N8KhIjNvHRmSSIZEdXuACBtdcSbMwLw0CG4I0BhnCwqBgy10irKpAUn3oq4dPPbzCsBWfnDd+9O+LyOnWnDIMAuvC1uqNACgs1LAWZWTSP8BuBWDKwiAUZPLutm1kXtzz2lbzbTQZRQykZZVhhO28hKeHo+BSnJ8d459uvYboGtLH4bOYLKpDQjHxYUS6BGStge4F+/AEur69YvI0Trq+vMY37ru43AzoSqoZBMiQXJjN3YkFKuPn8k/gj/84PYHU64Gvffh/vnN9DbqQQqAJNM+q0QdX9wnmTQLsWbpx48XdoLRrvNkSQnTICgaSCoPsYjPNMNS/EBJ1u0pojk76p0EV+fA/8v7EuGVj8xeO9AIamwORBUlvD/v4jKIDZEVo+qw65wIyLLlp2pNrREUTx7r9DIEsBwMRoL1T4WlsvzA4DYoXAkiEVIw8SIDQouRcrAiAVX0R1OKr0z+PZHQLS21ojh3maJtJNHHmKvQYAcHV11b9PCsSk8XcPOsSCHPr5x3Jnck5YlUzBtpI3T756NF2GAAH8FBz4W0ei45lRUyRlgctCYrGejGlLyr49Uom8ppx9AciCAon4swNBiyx5effeWEkvqI0FbKclZQw+XTi/3uFi23CxVygKWjWshgHrkjEkw62TYwww3DvfoqUoUYCcCmACrUT9c8owHSHWYGmFnAoRTSQky/5IuTkTngi5IZtgR/7d5wUCRUWDe9sb/Pt4t+zXGcZlbLQVFlLqrCIPCSU5v13kMSCigZtiU8qcnKjBprnrenoDCudAx/1AUDi9EMtcJrTb7XB9deXIZNzPyCdR4Dpdozfd/I4Cw+CbX2s1B2oYBSnUy4CwqIPx3HJiWzmN8HedzOlVAoiRVjUIC6YJRiDI0b0kglwSbj5xivOLKxahbaGtHcasftbC9g8Kk4bjVHAjD6hzxZXOaL7wZ0Fw4Yg1fG18TOu8aTvguncUuSO8jxdlOSWUYUDQVAOxD2QctoAGASbx/QwoDvpVL3DEgGm/ZxFupEulYbElTV4z5JxJMQlKg8f1BE5jOpUtZbpMeVEIr036YiJTxKbyFD7tEh7wXoxngocBPJFuRyCMj4JNbykZLYVfvFNN4rkCPvVeqG+dmpQDSY7cCJg8PlGIuBh7aOJ9JNcJROxq/JX6IrXkD9WiUfDJhTY2MQWxXZW/YykFR8cb6HaPSSgsTokvdW7Aw0fXsCSgKUXkTFLCzII8mnpTJvApBViv9Ku14Ek9/+QyYLVeEcwVAnPNd4R0tD0tE8MOTPm7irsdO1XMn8cS9S36xAW84ovpl5O6GkCUQv3Tow3WueDy6hqQsnjG54wMXmoVPh+L5hPg+VXz5XracwNvhE9zxBd9wkXPxaltxu3m47TnVG61wrjfo4hPBfmL8l2bQg5sNH+vr09cxJvzy7rPuPLiJyRHQoyBPgnHGgALFjXYYwUVevcliJFzQslEOJrSLktE6Ewx85JONSPnAcMwoLYGE46MmiNlwZWLyxDlQPAGezBIfECcYLGbTgCFDP65ao6u0JB1Rm785xefMvyHP/4ybtzY4N0Pz7GfDD/4hQ3+k2dO8XO/dQ8/9ev3WPw16Zy+pfCLFerai7RA5sW8YI+RijD5GxgcNWyU4qIecMR+dwGpIr2wvr66ZqBSwOYR9z5+H1ebDaZpj+QFTs4Zt289iePNgHffe9/t5LLzxLmxTYWF8fZ6S2ebRjcQ9bEeFe0simHCACscxTGFKyoAtYzLM8Vvfek7+OrXvoP371zDtHiwoihWtWL9g4o8AAEAAElEQVSalRfECy06iiRu+JPg1XFaAoSnLB6zm4qkErSenApycWGgLoSaLBGM+H1TyaQl6fKefndBzQfOzWzx3uCBIwJ7U8N+P6Lk4MbyL0nKEBVItr5kiRQLNjGmzh92REldTCfBNTxA3mPsR/7fgp4/NuaVhDJkzFZhmFFA1CFZwdB8GRH4OUopONpsHkvyS5MZTyIv99LhlPDOZlbn79OTmX9FgSL+783fQR/m+XuOojslwe1bN3Hj+Bgff3wHs6PxcSdiAQ5pUkZ+qlh/1s3tM+OOlAOHI5j05yygNSyT8PLzyX/l986uERBw+Y3ZwtkMH2o6SS2CdXq7L2P35Bzjm088gVYbzq+uUNtEy1pwQ6K1hnlskGQ4Xq2RJeH+2Q5zoyj/zoNz3H10if2ssFR8hKzIJQMqyKlgvRZYbhgnoM6Z07NEehjcqnezWqMm8kq7HS/gxa5EGEcRQ2rNG+YCcwS7ojlAAkAV2YAkDUUqNqp4+emncP9qxKOR27ZFOC1V5WeVzCY5GtksQrMCP3ODj//Haezvz/Mbk2tr2G23rkHhe8zOAVY4Fx8NrfEvSDpAEz2h16ao0+wNplMRTFF1hmThgMmSe5g77IxGFBkAWuXENiVHfR11BrAqme5io8KqF/ECzAY8vNzin/7Uz2OqwL5RC4Ta/MwsgACbSo9V4XqxKnj65Ab++Cvfi3v37uN3Pnob58ljrDtddIpJIIQQ31TLnCLhHgJbcrGE0xqnyzkXNuWqGIb1YxqYWdngJ0G31Tw0qiDNaJlk0hlO3UYWPb8x/i7TgQCBIj/Gf2LaAJ9cojcSND7Q2nrOy0Nx7j/NKEoid7zrerA4Chk42WXOCuqEQwPmNLKUYSqYfbFZTsWbpYXOE/cGnnda5b2XlDo/nM0I3N426JCH21sJBgSdyBLpKclIm0pOqbW27ABIfdoSMZqRh8YeC0BlYIHf6ozLyxlVBVLWGIY1To43aHXCfrfFZBVDypDKZZ7R9LZKbV2Pncp8EOYTLcCUCK1xBzZrboOGodaJS8PU2RuHOdfzeVU2muJTjMCN4IU0azkFlBOiWJJmoh0wiI4peOqd5eYJxitEwAylJJyc3MTV5BTVOgLTjoV3gDCi7kQmtIc3wCx1inC4RLGhd6sOMf5S/AYO+Bg6dccnKTkPzCWNm6klCzfpePPXueCf4OuT02liZCwLatO//Oexk3daiI81TVxMdFBIA9IPGE8Zk/awGjCOkzuC8MAGV+/6ert03B31Wg7QErz4E1pURMriJJe8qJ0FPlLm5VIYlxS5mBACaK0oMBzDcJQznn224G/+tVfxM7/6AX7la5eYW4KqIIni2duC//jPv4wnjp7D/+8X77PwkkTUD97oa/DhhAEte1PhTiXqaP2CWx1YJyEKBNrVKQ6ss+L9HCCvRFtTd46BZFid8N3Xv8XnN+9cwOcBSckJTr3T5sUg7zehNgNyQwOtsUpZQatiGAosZbRZgBBeGhE3WIMoO9sbx6ewacRuN+FXfu3r+O0vfx2P9jMeXTbolJGywZLCdIZ2EntMc5ZAFzZVcWyoEK8olh8LrMMwYJxGxMIX8j/9qHqXm2ThW3ZE1fnQ0zR3sRqMXbKGmKkXedYFcYc6B/A4k0cII3oJV713Tr75vxY/E7HfoJL/7OcGcb4BFH++rbGbp+OH9rOfnFsasHTnzAs4lVHFKRqOh4zLLNhsnsB0NmHSCstAlQbUCbr9XctvHJ1j4UKxI8eqyREo7gFY1qJHg+5ASjQ5MFinGqh7GaMXg7EIhYgKm/J5GnEdDasaRbIu8Etwnno0cerWoxm9iUuZI+kQcjI2aU8g4ogfTBxwWBZPdaoMYa7eJANsRBJY6KnvyaAWwfweMDZlF7Zrq1AxbNYbrDYbXFxcYvazzDNs1PeY0mVJFXfv3cc4V2gLsRqtLVUBk8KSUSvQBIqEJCtsUsZLt1Z44VPP4u13z/Hx3T12liCWIVKIOA8ZJyenmOfmKLZhc7TBNI2YG4vsbAkZiuwUqib0rYEVTtcEfAfiz8FjVhbBM6c38MXv+z58490PcfnhXdSqqHXZeslCr8IsgAgipQE6lVLw4gsvoGrDBx9+iFicEpc+GrOryysA9Okmuuftk5rTOomoalsKOFOD+lnj/VIiqxLfm0CCOa0lqzEeOeRu2pDNkLShpNCRMA73JjUBrc3Y7rwAFUFCQWsAkqBqwqPLHQwFKsdOhfDmPAWP1x6LzQKnu5lhu9/jrXsf4/LyElUMxb0ymwMBBnNqWurFX28CUu7PLyEEpTHRjLLaqbLekuz3+96w/m6BYaDl1Xns4a9/WOiS/0ykOX5HgE1t3EXWA/57wm3IPfbNXuxmIZ1DIb5nIBBsB16a+pKi4C94FKJNSH+uAHxJFfp5LFGXeJxHCtvS5J8NPa5Fg9/jPuBNtP+z21drgAspXEzoCy9OAWpOLVP1fRkOQOWU/X6p0/SyU7/Sgg4DPg3z/AbpZ1GEeVKU6UW8XggNl1pGWa3xb/3QH8P3/4Hvw5d//dfxrde/QW1NbUhGSg5pZU45QtCKFNqk08Wa6wqiOTf/vYehYL1ZY6cKtBkkOAQl1Pr777HXDNRnuXFF3AHTfr8kCmb/yj6pI93F88vBRISvRhzd9/eljFs5G7a7HbC6gduvfhZptcKD997Bvo4wU7SUIQNzDIzTNIgzKCIWwBBuhlGjMG+lrumCLfbl0gtB8vLNab/Ht27i6vKSOdbZFsydvDuf5OuTF/GybC80/zAx7jEYhhxdKVBn8ghDYBnopKKhOKq18uUp8zyzU2wNNu49ADDBAuzinSiBGI32h6ZO0/CkvwSfxRVBxDlUiUtXFMtndhyRS1sTOZ3FEV7RhrUALz9xC688ewP/7k88gX/082/h1765h8gK8HKyquDOI8F//Q/fw//5f/NpfPHzG/zGN6bOn04545mnn8JcZzw6e8hu0BfXhFqcPN3sCJiPu5WnLifQWs7MDyYcPfLD6mE5xEvmQQhGmszgFAG0ughAJMaAFIc8ePgQSYBm4gmMCS0Ch5lvEPPuMw28OOO49SZT/d37OLIZg4i7ddAz2TA3w3h2iZIFrQFTo5NPLnlxI7EMMxakkUgCLcyO1kGWZQ5hnxUo1jAMKKuBYucWUkb/jy0LixBduhlRwSSoWjFOnCrFz5VAiSQ8ZbVPAw6b2X6BEzn2cRmtKZpWtA7YZ544U58K8fu34FKDKHzQlVlceMGeAmHn905JIDkvzyUKWR4qUtf8m6wl4bM3buLzz7+AX7v7HnYJdFsVQxF3P5B0IBBdNuc91jBqUGeko3i5FAxDRm0TZud+56CfPdZsmiN9jkaZOsfXyUIHgj7JCftxxH4/OmfRNQygcBvmGgnnrjdZmg+R2I4ri6OJTyWyJL9vqU9rurjKmOA7ciP+uXzSSM9hTwyCLh4TT8h5NXRdBiRIw6QYZefon52fY5qJZGehm0dzOqEkwQw6gN09u+4IMkOceA4gF5ii0RBEDRAIBhg++6nn8Bf+0p/AL/zi1/BLD/816swk3pz/r81wfb11tIsOJavVCq1V3kFtWGfBU6c3cLJZ496jM1yMM6qRZpZNUNTQYuIpwb5ls3++3eNfv/kmHu24cZC5oqF4QSn+3ONuR2PVsAARDx8+RNXQ+izWvP5a+jsTLIussn9fNNrNhvWnDQPXykO4cMsCPFJ3LWMmSD6tCEGqoUFFkURRsoCUFiLAqky4Blo/hgA+iroYh4eoFRbLdBJyXgEqRPRyxnq9gmn1KSJjEvnNsVOFv382NuO7ccIbdz5kTFYgNcDELe5ksQON/8TZzS4eiU3PhyifefO5FLsOFriZxaFlY7wPIKZpPl3zPCYeZ+N7AeK/V4GIoXpholpZYIMxU22Jt9mpFS0QUJHewHU9nX+unDzO5UKEti3Wl2EljJhqttYbm7CcLCUhqfVpOJHi5e8vk93W32+OzehBkRXpVpZB54vaI0mCumkFzKdOrLSdEhJgs6CBDVTyWGBeJJM2uRTsyYt2HOa+lDymtV4oCwSb9RqzNoyVIkpLCUdHazx9+zZWQ8Fudw0od+mIKv8vhI53HnxSSjg+PkLOGVeXl0TYvYEw/1yr9RrDasD19hqtVVxfXzFGe20XbILIAz3mCpD8uZgQ8MiZbjJ0/KJdaRQ/Bp/M58yllqB+iTVKWzQUuuRLsnldd2CAzZUg7Fzxn/z1v46XXvkU/j9/6/+Jd751hVr3qMKdGC8//zTmccLdew+5KNO/B8QZHgbqcFzk3SmX7u5ljXcreRPM+6K9IFn55Ht7veWCR4/H682K7+Z6i0/y9W9cxAPgZfGLnWVZhmEwQBUlOlkIsicbLidicDSlPSVVyNb5r/GAeMhTp0LE5aH4yO3+kPwQ8c20uaLk3H3pxaGFDBaKwVM9XKRBQRIDtCUBhkSEzNyZJBHJ/Owra0y14XfeGPm5AEhZoQDcbAfgesz4H37uA/yvf/wVfPn172KupXP0jk5OMNQJ51cX0NmDPo+yg5TO30wFi7c6+meGGVarFQDB7JtvIQsVQUPQhCUIwJGcGh2pFxzJO1aN1JvZ6TfThZemXLNcJBExiBFs4eHc73f+CZnUJLFZSwb6bbPC7MXOvo5oXqzNs/kyJApO52xYgzvhmhRy85sAKn0qFciqpHDTSEA0J1ioMxB6uc/bmdzUMkCEi1hIzVloNCy6maRqbRSKhmsBq2mfPjmSJUApuSMP8V16IX/QYLJARW94W7PenJbCprLpvBTujh4jilPhKL26/aRAMAf1RpzXaeZFjG8vnJb9BUBMpvwcgOhcWKi23YhHdQvYABEWwxkJ1eg4klJy5bxne1liQDTQ+fCsIGzziGyKP4NFbC1EqH3qJCkDrfaEx4Z8aZQiypE2J90pASYoYfGpisG3XjYsXtbBTYf4mfZmIaeM1UDf8NhN0fmZUfgIUbMiwJD5DOBITmzlJTU8LfQm+Og3Z+ShEGVTt5j1xB2vdhonGGa6ZWlDKZzsqDVH/3zSpkR92GA2FFjXJMAEZT2gWUO1SjpYgU+xCj68/xBff/1NnG2vaX9XKMaqs7ugmGCaRgA+OQOw2239mZCzvhbB87dv44Xnn0X9znewPb+AGoXRmBvRX48ZBpA/roClNa7M8J27D5Dzpse2QMv9GCD2L8DPw+EOAlXF5eUlIF5Ye8MaoER2VzKoolVy8nNHO/0POvo1lIKnn3kaV9fXuLi4ZgFA+zREccmc6gBJI+IrJmjJoLliU4AXb99GQcLde2fYSUZVAFHw5YRcSFNqde5IKitlWpYmv0dcNihIGtS52UGbg3Nkkf8cxRfxqU1GLgNmsf7nawq3H+n5seeBg2mvOGIT+rWwMY44wQbVhXU+TYhIUgrdZKpbZ/bG1yJceXHj09wowqn2jNzE+qCUxJzi7y57fO46p4PGItzwJBB8FwZDSGMUJJpkIJxJFj2M+vfvAvfeAi4e8uH/HY1m/O5Z4K4jhlpjysIiPKWE09MbUFXsdluo1yjV6VB9IurNSDiuiEi3oGSe8s8j3mj4VHcYMrb7HfoeiIjnDjqZov+cZdLhjjEwTmvFm8z4c5GpVFnjqGLcX+E3v/Qr+MqXMy4ePIBYQ7LKaUf8PVkAoZwTVqvS+evh1pZycXtNOgRWbb0ZDTOI5M96ybxs8sypi60p4GATGxR0xJ3mABk6TTQwiSbKv0/OGdAKaqxAHUHsbsACdEosjVPGQG0GQ0IbFW+98R2cPzzD2dkFnYA8tgxpwDNPPond9hoPHzzkHhyP7cGAD41OAKwZoKVrZjzomh5/9gTFCtSphbvdDtM0A0KqFh3CMp5/9lm88PxzeOO11/FJvv6Nivi4vN1azQ8Yx8u2KP5lKZKJ0/gJtIbYylYbET8ReqyaLfQASS4qAwAkimC9mCvOFYc4r927zpTjwvrFk0C3DvyJRbrJfxQ5xR0Jkl+GGstPcsaUBO9sLzGvVvjK6wmKDVYDMFaO9SVlL9DYjLz30YjTjeDWScL9C17ceZzw/nvveW3nxeAw9KAdYKU1t4gzLxKwLIWAAKenxxiGFR48PHPahKNAIu7DrRDna/XRpI83adtH55eqXr773xOBowxRsPr4KUVyYUBQZUcLMKALGOB7nwEmFm6rti7CSVQPIXymk3+fmvjnSiLPOJJvktxXVbfGdU+lFC+Imzcgi6VWIHNwikRz4Um03ZvNxlGr1tERNn5ExXuxqMolE55AAQaT4g4ECkVts1tUUfy73089OSRHsigaPEiQPsbMPVlWWCUSJSDnVuAIuPhSkIy+FfTQdqt7hVtoKhTiFBptMRqXJejDfcOtoqaE188f4c3LM3qpx2KbkqGlQNSQdUHeyzDg+OQYV1dXmGe3LbWYBglEFBRv8/xDHY2I8XUGjjYbqK8Tn5p7Ame/80bKgsqCOpIiEu4ongRNO8+dqDuDfzTB/LN8TiVnju4R9CcG/kD6qY8hwqSNzXTJhUAEy0kXX5FeULLQ6tPFqylz18XhBCbiSzPFKiWcnJzg4vwC08hAPaTshSYL82mu3LAKA7yIASg8VY9ZanQvEoAoYSa6HM1lrVNHqVUrbGaSu64Nr713Bx/97CWAjG1VzGgQ4QIS8YbOCa99ekeAgDoOSQljnfHB3Xs4u77C5W4PQcIq03aziWKCOfJo3EwsnCRWFKwy6VX7eeKsUpZ3GY4hTBuGoAbG5zrkQoetZeeJCxBLlKLoK6UwUYtimuYDOgfPf/MzZ+DEEeKL/wIoMXS9jYE5KaNARNESt5JKEjz79DPA1HDv3jmaGTQn5Ob0CmGcipwjwsK1qSHlFScA8wwV7kioGgWdIBdf3gZOQJO4HqaR9lliaqGAJmAE49/ayJ/di2KVB8isgC/wYwPNIiO0JcULiPVqQNVlWRAgmOfqy3XYRJrzsqOSUg1KxTJ97FqKHOcpsZAVQSkZw1CQUsE8VyRfwIOe79zkAcHrNi4owkJ5WZxOzDnK1o0hWG8Eou30xhbgydIQpBDte6ynX37qE9w4H+qgoxucMKok6+Jai6bKYzztARuut9fd4pBgziLK9pBEXY6xyRShU5WIubGFdcpmTixWy7AGxrGf3+zaKFW4s6n4YNNBIa+MJbHhj+kprbc5Da8TgQgILSC1VUz7Lc7qyNrMSIEkxTGml+4KZPH9Ki4uz9Ga12gW3Xjq2jHzZ5ndDCAaytCzmMV2l7j7TNMKeG7xSZq580sAgYY+q6VOLPnfJSinfvckSefQJ8kuDHaL7xRLG8GZZeHENNeKX/rJn4SUgvMH96FzBZIhNYPWPV5/7Q2oNbRakfLgomSe09qYryLHQwTZ7ZujcSaTQR1w490ZhgHTNEJbxdwaqgEmBKfgMUWBZX/SJ/j65MJWL1SthdASHSEhCu8FuPiF9hdhqr7O24OxF1vqCE1wYUnN0d+FzgVP0G3DsGxMFUcgIqHygjZHScN6KCBEw+xLHMxfdp2bX3J+nwYWFJrg6J+hzfw5R5s1vvPeIyrhN2uUVHB0dILVZoPz80fYb3dQbZhgqLNhJQJp8fJYbMcq8eia1VUXORcYmvsiA92z25NalMjXV1fIuTDA+gja/4InPPTgK/G31LrQF2aO8vtfSxmqXkA05yZGAPWGox0U+yGq6cUWDLUpBLzUanRQgHC8tcoD6jRD6xIkLBlmyGKNmNi91nCdCX9tb/5SyhBTdyRhkmND4chv8OV8018vYMX9XVW7QwNHnpHmHOXKA0y51VNNfWGWOf/O0TwSf1k8uEVFXg1eAIQr03Jeo7haRm8JkuJusHjjVMA5ni2urb81EVqVwZNHO7DGDMqAkZduRlQ5aTQIDYcUGN6R5ludB4wq2CswIPXxqagj5OQA9AUYyTUk4ZferLl+g1zj1iqONwNKSdhu9+T8wkeLEmJYL6jhTVY0jF55x/nks+RZF1sSr4B2bYwJsYXQOiLD4o+UCBbXQIlCwAzHmyPU5pQ9HDhiAV4wsUlTAbe4+n8vKeHG6Sl2+y3quIeTKyjgDXBMQ1CFfuaOj47x1FO3MU0T9uPUedUJ7hyUM4agLeTCZVhKtx3SCxTHRyeYxgl7nREgBPsd5/t6MwhJvTFQ370xKzC3gvqoIWOENZ7jqsbJpYKNsjdSqgY4p5nDAZ6hGYaPr68gV1fIKaPIADOumq+SUCWcvxRwl6KWFNWAjAJTYFQFEnySdEATALyhCJqaAy1tEfrFWFq9CA+6QHevAAufksJKUDrKbN6jqHBK+v6HH/jm2oWgGQ13eFzDz6FCoNmRyNYgljFPhrff+xhoilmAZhWibPxmbahoSMbvnb0yMad/laFgJRlTazCrFGAijB8UahXaMmrTPu5vjgoPmU5RzSpkIFUpu9UuGsGPQRQpYFdzlw8ISmF+KJnOKgIuaRqnyYeqwWXmbVDP4cR/A4aPg05th+XsLmbhhuXvsNNqHRBzNDZlLjXT1vrW67grbB7Jz2+t0UIweUHuDV0AIUSHE1rE/hYuOJwYJI8pNKCLdfepT9zhf0eATl9tfnepTUoHAn11a+TknxEek1m8qiru3bvXm5GOcHm+BhZKEINTCJYZD+e5Ihf6wVfj9DcbJ8ptnDFWb+hAd61SitP/qOWYfWs5qaY8IzC+TzWeC4onySywFJx7n8Co/07WnHpZe24pknF0cooGwTxO3GdisxelnGbT9a3QAatZ311DDC352WRdUoQORPBpOYzYOxt76U18Sg7+ituFhhjYaE3M8+DAUFnMT0JXEw2dsczjsxOeR3isCXos33t1gXVDRsPF/Wvk1QrSmjdCXpfCsB/nhQ2iAYT41m9F12eZAdDWm47WyDbJKUGFYm115oR6Pjf4efU8P84UyltVvP/xxzi/OMe4/Z+ZTgMvGFqtffQEP3CUALCQ19hGKo6TCVgYMlOz+KtEIc1dATRIdQeXLhYjZBQGM0/g1rzrydmtpFjMVV++oo4+RLcmEnxKD3EaFBImLoTgCuAsM3imAgAJaoKHVxOevrnCpHvIOCHlAdM8Yz83zLOPVZLgxmaNo1VCHdXdDQRlvfIRjDnW54egNUASLBH5h8R2Qr8VjmhybEU3hWke+ZtEwZoXxJ7NvU9KDhQghlCuu82c+2eoj6YDffHBPtExUzRfBJRShiZarJka+aEGhKVoNHJmnMaYGSwLPVElk27kiu2chcMYBbJx++RknEBkE0xtBoTvnVaAwTXzrWtwZNZ8EVao4y2mPhzBR+9mqtjv90QWcoiMfQV7UyJKjRy29bCmg0ZrXQBTUu7TngJAzWlgE0XDsNBiLILaOs8LIgbGcr59BiYWkO5G40EDvcBAL1bWqxXqPPcpUUwH/Ckj3FPoSexbEMU6j7OPdo0oSKtEBrMk1DSR5paBaoZWeV6ToXvZtlpx5cLHuP8Gg4mLrEWx3qyxXhXy1lvcsyV5Tk67qx7gDORm5yx9ikX00i9gTCz8TosjFNm9zmtt/X53ruU8O0ViOeviRV2dZzYN7ozRvFk1A9brTY9F6vEhvMSbVmynnWsT2BCRAhIcbyAOWQhfUyrYb3f4+IOPMe7HA4FVgBSK1Bj4B2/S5ql1sACe9E6PjnBZKyZ/pylnVOUmVymFd1Kyn6kEOs7IAd9ckKzA6sixrRQoij/P1u+ARDOmDePUeoNcLUGzQB1FWqPgxvoGpnFko5SAHHSyZL1hExiyAGObSA8SIs7UbpvThXw87sVITJeWya6PpZPb+vlklM1wIKLeKOcB6/UadZpR50qOeqKYLPJOzgm1ke6YS8FmtWE88EI5uT0jv30ChFz/XDKKFqACuQjGBuynGXm9Rsa4FO2SlvtrxgIedCHKpeCz3/M9OFmt8e1vvYY2XgPWUGtDzisvgkEtgoM3zceyg+c7AYEmXx9HqoQRDCJXnCLalRQ2IRq5IRaOATkNWPs0cj/u3AFDICiOFgYdFnj6qWeQkuDO3Q96jDUBaUCB9PqEMGXx8X/yRV7xzCmuHacRhoSp+mIfbxJKpn4DBvKAYwrvKTomj2q2iIejTjDrujF45WEeh9l3RMHFomkoA1Lh5CVlIQCpXlcmFowR3wL/10CC4ZPORPpjEsU0Tx2siIlQ7CwwM99PQkDGFM6BTl0UaqqwWbmoUl1wnfi5zBTWlskUILwrxoI1GttAvpMImqBPKeju5gso/TcisNaQFSgutGTn7EYWPlmY9hOGssL3fuELuLze4duvvwGrM6fCKlwWaegag2Xiy/dda/UShnF3s1oRPJi90HYHwLCNbb5lWsQctAMBgV6zoAO4zImkk3aRqkWscMAspT4pDkpe8zqPzX2AJxNqU9YeZph0guXQQfrvYsxjDUTDtYYzlXdriQiBpELGSEq9wA+LyBS2nBpaM+s1ZpsmhFNUM58oNL7j4o3vfpxQ5wnloCb+vb4+ORLv3HXAIIFWqEBVYJKp8JYExUybLgmqgIvrkqPPZhgkuV2T9S1yRAL8gCSO2/kynP4iMbbmQ16tHM3QBQmmuIPF5SHPLklcWBCx0IQkBZKNL8a7VRiDqqTsLhx82V994wp/5c++iPKbl4DSZ7uOM6rScipnQNTwfa+uMVVD1QFJKiQZSmKqnVzFwiIz8XlYKMB5sbpiGzFl8MSXElaOKtZa0WY2Ug2BbqqfL9JjYDHV8A7V7250p9kpEMmLPXPRDwOIB0csa4/DExyOMARlB97FE+xfrP3UFFVGGLKL8+LSuzcto5TzQhm0qJfgOxL4BNC7A/LbPEiY23cmTktiWVCMZpP/fpISZm3e9TI5LgUpn09rlWMsSD8bFOo5qiIJkguOSsE8jmg6IyM5shOovQRMD7jmIDh6QSvqKLuBhYb4whozzBbb6cLDOKHNhn3bI4o/OFLG/OCBLWdkF03Gs1EPTuoNJEC+LrneE1ZDQRkK9iMnQ8GtDX9bS7yzLTqtuENAf3apxD8Lzq+uSW9TR9GAXtRpNKHmTUyja0jShNV63YuzpIZsilVmEzTXhtnvMtGTCrWG2VFTcdKkxZZdzl35DHy5TPbmc/ZNsfF6yLPl56yO6OVhhWeefgqPHtxHloZhvcHZxSUuxh0RLF+zzlgRnOI4v+ai3oHAw1RRvaHhsih3zZDmQkhDEXMf4kaqjjdbORUAiof3H9IWUsKiToEuCCTySRFjCAw7vgVaoxrmZIA6hSUtvGxudXXhncfOBI7USTHI7twlgNG20iTjareHtUowwoCijKez+mpyEe7wMAWab002Q0nFW7qwe+V5N3OHEOOn9313Pmkhda3pcreiWBMv5AsMYhWtTphrdS9zdUcy62N9/lda+54en+Lm6SkePnyI7TRSUC3C+KvAsKJ3davcln1ydAzA3Y1Wa7RxwrSf+hlobrmcJGg5GbPbeQIJooKLs3PM63W3MC09PnluAZ1bcgLyIKSYeXHYvLGk65TTLr2Qb45s8HtRd9ZcSFtS4ZEBp1Pb/Q59E6jHIHIz+JW9MJJEbYSUgpYLCipkVlhKaEU7wi2WCOSA56FIYT5JdPLp5gyN7xBSGKu1UfDbDEPiYsQBCRWGOaVuMQo1Fn1KGt0yeUsOii97QLLTgCziraPnK6dtNqtQTWiiTpNytBiG7PtjDI5aR8HnVT7zEN8j1DDkDFVOD9TYzETRKk7JAqLw5HkvQ/YdGuiNkxppwImnmL9vr1cIph0dHaHOE6rxuZtywriSRKZA8vrAi2hkQavmtormTQ8L4xCNRrwKhkKr4fpTAHB76HvvvoP9PKG2PbIAQ2aNJpU1l3j98lheRgNS6AhpIILkeziE77fvQEic6BPKDEDXWR2ZNVENEBiupfH6I8EbyBRTkhVqmwETNGU+ZIlBNkLUPtWdpFhHJ3eNE7Q6ke44cPEenXacBlsyNqsBtVYMw6K5E+Nz6ynd4AAE83fDQqtis8zGsOQVkAxNZ1hTDGXwXXAkCi1AAqd5swGtKoLG+ft9/RvQaeLSk8MbbgldpGkUNuaUkTNFNSUXOnU4qUvRXIjHC8StpdW7+MUiq7tv+OFLKcGc+5uYazgK0rC2IkJ1KI6iwpk/M0US8GJNm3LDKNtHmPiIT0IsK7AMdlomePNORZsNP/HDT+BXv3KNlAaMVdEmYDIKd1+4mfAX/9TL+Kl/dQczAMt8YFNwbL0oMSNloZQSkcKDCi+9iGKe3U8ZqfMsp7lxI2AiWioASi4c9VvwUgP9a/7PAkmGo6M16szV18NAr/3WGgspW7bhcezG7p9CpNJH7Sx8vXARun+U7L6+GiuPM4ZhzfGmEWUZSnGdGZEN9rjGQjbThrOkjFln5NjOiPBgbz4tCMSFoupeyHrBzRG1C6G8KWqhr4D0kWn2oiBQELPgYyc2k95sRJG22Qy4cXwEaMNVnaDGRTXNC6uQDWUXVOs8c6oggb6yqSkpQ52yFcVMOCYUociV1z2jbzz0wj686A81KYEwtP5zFh65dw9EE0wxJEemE1DbDAV9zi0SI0NaL06r1v4ZQlhYcnE7uQpRX5xhpF/Msb1UPCHZAWoBnt3SucqAZME8TZj8XCURrHLGU7eewM0nnsDb778Haw3TrBSKCouXnBNKGZBy8gVTlc+BXQWRVX++wzBAYZjmGVK8YVaPJ36WYxR88/QUr3z6VVzvrpDQcHp6jIvrHR3PTMiRTIwFCAvPQMWaAqgUKjcK/7JzkHNOyMMK2/3Om0yDqAt1/flaO7AENSatpkHHAkxrF9LCnMoUC2raTIzWzEVTXkQIR++WCsLyMxDxnFPn8Fsk90jwnvw5aufJCB99BQGGIt6IFEf9Q7iRksfx1KdcZiw8sqOp1VjkN9VeQAl8m3VtyELqVDRbQatgjoh76V7bADbrDU5OTnH/4aP++8ReAk6jXISX+a6m/YjL5h7TlchZCfcmYSs7rDISCUGANUe9M1ZlhSEPFMQp0UM4vzrJIkAMzUatDZIUdz76iMn9gNKXc2bhzAPp3uFE/E2tO1qISAesaEvoDYc3MjkTiGpurCA5oSR3V3J2XsoJtTVcXW+dChfcbAqcY2I3zyNyFlxeX5AimRKkxITbrQSVTjtJEwQNJq0bA4gI1psBszGntEaXk5K5A0GNwr7s+iKeM3fsyQlzq73QY0JehKYx8VeVPp2HAJKI6MI4xYg7lFLGarWGtIY27TrvPLzDowCFLYJrvwBwOAApESVNiZuJ6zxhKKXnb34+Xzgl/Ofa3F2kFJ+yLu5MKcTEZqyD4v04uhYL19T4rtelwDw/C7zGUk5Kh8xN8nOI9lsDvCFNvl1WnIEgiXkNPhFIPqWEWa8vrq+vu23x2dlDqDWUAjaULcBNpzv572FOby0O9xFQ86nNPKHOlSYC3iA2R6lNW9fxsZYksj977Mh5cQEKNBugZqF6M2TqgIgDVQa3m/QpFHKGWWVNB3GEPjQqCfM4YygFq9UAswIBMI+s0YJKnEvCsF6xRpor9RuJU5KE1J30jFU8BIYyFFTn3YuIM1EyZAAsk6qTAY/V5rRR6gqSCCzlHnOHFCYZn+zrExfxh8uF/O6wOMh80GYURiEL1frgJctOi2CJxKLaoAz8gXmmoCTwxYRi3yMsg9ZQUOcZKQpAUIDBr6XwOvxK3rEmEfJCnZ8P58CloaBpBcCOEwJaMobIU7jtsqng//szH+L/8O+/jBduH+MbbyZ8+/377vig+PRTGX/jL7+K3/rmA/zmt67QLMOyuLOLTwN8tbU5ihzLCqK7BTLRt6EAPp0IG64kGfM8QTTDauucctMGKdkXjvCdROCQHKJTIg/B0+ZmsuqIj08whEWDJEEZBlRt3T3o8FmqxjNd9A1dwR/NiPtIw4DZ5s6XjAInlQGx/y3QBEFcRD2gShi6Gs+TT3A9DSyEgk7lcYajthRBm57/Bi8KvOhi4M4+5uc5FL80/l8RHH6YYBwN8zhyG2/hmFzMT7EG9SeaH98FAIruNkcbnJ9fMKln6bzXKHGbqjcyIdZmtPOBVW9GQxyUBB7YtTvDsFBzQkgiCrosjTHMdWQB4EXhbIvNmql0FCvcpUToe3xycoRxv8c8tU4pyZJQLLGR9kTcjMgEqS9MNrECnExsOsOc3jhFrYb9do9a3bfakXVLwNgqHl1f0XKsJAwxFvYiiU5eSvs/f0DW6HnEAwifABh3I3h0sb70yadOcT+EU6+Liwt87Wtfw26/w3pTkMYZSQZPXNILADMm+KBBSEpY+TRxnuflzwMu+GtoNpNyAsEgGSqJ/ylg8J4B8wTGz6mLhaXRySQE0QRMfExv4UiBXiREA9r1SQe0OXV6XRLuF5hrNIipN7Mw2gIPKc5o6gkcMGyOjlCnEdM0ooHocUkDtRighsL8HAS9KXj8WYAy8GzUvi8DnRdtQsOBklkwQ8Kyz7zYTN5rGGISqAZcXV1Do9iR5f2Ki6WHgVbAYWVcx9EL2dwnot3tzOCxkTEumjwketKHO0ssCqQbFzfmpsE3BIOFrmQmaGp3vAmL/JmCwnEg4nRevnhBamkpNPv/E/+QTMI+ZXGPeQdVElj83jp9Atv9Dtv9HqUU3hmzMOVhXIxiw5Z9FwFMkHvfMLqoOyFsbA1oiizaPbObbwjtTZSxeC8pLA/hLlPmjiWMRaQauNtHSr2ZzJm8+nCPWSgTAjTrQGByPrg2j/fK+wFTjPNEj3G/j8W3NBOkGpDCS97zb4B/KWXPzWyAINK1UVUVYaXs6yER7i9dmO8x2xyQ5MIoWRqUOHMes8wBhcjnAcTtd6R8rcsAVcU0TSxKxb8/xPeGOBfewRJSSinWj8YUwgI2l9QpnKS0VQTNuQwuaG4GJMPR0RFaNYz7Cb6zi802GIeaeQMS76gZ+fee17UpKuZek1FW5k14ONHE/5YThjR4Q6MOtHiG9PoPAFYDaVit1eUeOCBGzSVNUw5rHYAbkk0jhhsSLfT6OYMDhFHAs/aYcXnlFKYkmGr1d868vVheF4JxIsjDClCnXPmZHYrg1ong8y+t8D0vn2Czzrh/NuJbb17h7TsTdqPCGu1RS8q9LhJeraiOf9+vT1zEpwJuIu3c6NTHnSlb3CI/VLwcccHMgkPt/CejSne1WmO7ve7dcjOiRlCnDqTU+X85Z6QQ12JBU7n4YQaQuo9tCBy1mauJE06Oj7G93iG2j/FH8kUzehZQIW0QVACN/NI8AFjh7nnDf/l3v4v/4Mefw9/4i0/iwzsJlzvg9q0VkAb8i197H7/5rRGTkeMmhS/FAIgy+Fhc1hSfO0ZNdDyRBBTfCjfPDQKnGbnVXmu0Toztr5Ic+XShjnlylCTerfIYjKNvXm1KOlAi31Zy6nzIxV3FR9+H9BO/dEl4mVpraNqILEi44zDx1fkaEFopJi90SZPhu8+QTmkAAFPFHN6+Qv93ywV0qvTLbIohJ5Q8wIp37lk68nZoU2YmkMIg1+ohZ5/nIZandueKpqCanwvGxNgUIRnmmUXLUArEhZ7Deo1hGLDd7RZEIWd2+fyFkAqD+zxXFy5XD+zOxzS4mK8SXWP3BZKrwvYUGA4XonheT0lcoEVP3TLwZ/PcRkA/eB4O+0gc9YM7vUweYgkMz8/p6TE+/4XvxdtvvY179+7TF7jFn9BFE+Pc7mS8QkEMDBE3mw+Ka6dpRK008JSSkTlb5xlS4NHlBR9MFM5Br9JAJPjPzRMwaV/m6Gf4Nlde5eqJo7iHfOVWPAD9XC+2hg3bq2uoKaYMzBdXHKfPbBxiyU+s+c7JNwz7iwxHCPHP3CdaAkfzXaxmFP2WMmCUCWUQFBkwbrm1D5DF5tVF2zF9SnBvaC/KwwMdWJrq1pbNq/Gm4v1mn3iGBaC/aVQ15BTcWUNJGZ/61AsQCD54/0N+T2G83m+3PZ5wqRYRVjoZ+Xbp2qDQZbmW+hQDgiSGtMrQ2aBVkd1ZRmMSJr5/wSi4697KkC4YhxcqzRRt2kPAQmmxdUS/B0kEc5s8JrCRat7IrUtBdaoddQTLiJwaLennrtWGJBRGs7fnGU1pQGssfMKC0FRpOQksNLjwJ09u6xgxNcEpbbacF0XnP0ejQsc29+eQoBZKL4KjIPdwBrWG3bjngi1VTql9SpaSaxIaz8vp6Qk2mwEXl2foG6KrI7frDEsZqNmbV9IkJSeU1QDRhnGamTNUSbmIaYNP/3oOsaCIGhoSkAWhX69mfSmgj8tY+IaouTVYzmxuM6hHELcblViMxNhKNzeim60pavXGIWekwvPOmOHNvt+jMMlgR+lnLS0WgeL5CxauVU7tddc8HEwMwtRjvdoA2Sfd3uiIg2ZxR/tEzO83C03mimEouHnzJqZxD60zlymZu5Dp4n7WAUxh/rCmqCyyeKZAx6CcM+bWUHLB0dEa+3Hr9o583lHX5UQ91mizWziaa+44JTBH+BXAsFoDptBx5PTPkdfsS4tS5GY1WObZDctkAF37ZGruWhb0LnSdDOnV/oRCWO15qhTG1Lhb5mLYPIR/foM21poUnFbk7IJbn86KsxACWBBvkOc64+TklGDPjhrN0L6FnXE/30lQp8knHQkZhuNNw1/6kWfwx77/abzxzhnefHeL/dzwzM2C/9WPPw8g4x/+wvv45tvUEFkshERDuAMe5urf6+uTF/GJiTKR9LYkchAt5JIXNklqHC9IppKaIoWM5GIAeqKuOLaVjKrVzfObL2lxdIa3yoNZYyIYsndOfr3SwQvTZUFDoHVJgU+9/CKOjo/wxuvfdgU4aHM5z0RPwWColrBKCUdHK6Rc0UxQZY2mGTrtcffC8P/6x/fw5PFdPP30gPW64OFZxZ2zilELJm3ghm5ygM2RFbjIpTcgB4s92IzT+aKkFZ555hkYgI8+votxP/HA+0EHvGCEI1Ni5NzWxdnhcKFKFEPh3iMWyEFw23xK4gt6KK6hSCyCm4YY0AXFXUQLLK4POffRVZtqT+IhfuGXuvjRaRS5ONLk/6t/ziEXIlMp0FwWgXM1AOOCQDptJgqXaIYA6xScWif+3wMbqhbdPha6liDQstaRlBBSIQmQ2ViJAeM0ohjpJXGpa20Qn57knNGMI+Xq7xvOuw9UNn52ktIDMh0VvNh2QRUcnRnKCvNcEZw9gdOavNBJKc4QheXin98cyQNi5K8e7OMMkh5ElC8454b9uMf777+P/bjvP5OBK2E2wyyO5JoAVZCVjUANOpr/DgZHlQXY7vdozRBCanFxYAihW2huXJhICon4SDaQ6IwyLPQFbvANFNpgTfznU9uQvCAgaLg0N2oBOjgSKaT46dxIlWp87SUV0lBEMLbqUznn5nqRwuvp9y/uhRk5s9qwKQVzq2g2Y7Ve4eR0BbnaAvsZqhlkeAeXUp32wLfMZxCoLegiJYv7EKdScGGbPXbnAujIObszS/Jiz+0QvUBWxESTn95a/DzpNCpS6oI8Jl2MGmiZNe3uRuIgBl8Qi45mClFBXg28s5kN2VRrt7ktq4HTsdCbeGMhXqBT9Gmd18v7Esg273ZKshTNebHoLUPxjdT88ylnJNW+Mt4QQACnN7W6W4w3BbOj8K217iMftE02y0Qdh1J8chJCv+R+5TynfWlaPO4kGPIAbl92VNgXz5kX8CmRdijC3129eAewvG8cvG8Ittdb1ygYlqlnAEIKuoELxnGEiJ8j4znO2fcwZC5aSnNCUrqpIJFiKUOG6Ezzhha+2Y6uetNMNyLPIz6d4wIjgUhBHph/iR2R/kGtB+/pvtYl1quieWeewGljc0G6+MSjZAfwzJ1NGGSZ8/y5mThI4rqMiAkRh2rzqVnJgH93VQoUY2JLJNq6PzonEAQwF5tJ63s2Uiw87CCTLWfNlvw1z2zeYuLRmuLi4gx1pv1yU0VVRfYpADSKTgcPkix6od/1s5opuehiUCi3mQfPOxpCr6GaAVdXV5DELffTOHnMjF074oJq6iWsGVSk06hSyl0wHKYP/hpDuUOKrU82OiXW6CjXqaHwot+beM5cl2fWOnhy4P1/2JB1gMptXE0JNiNYBfH3E/cLKXNiDOAEufPzIYJUCuxgv0h8if+O8zwjDwMSDE8cG/53f+1VXG9H/N/+m2/hwcWKjapwKvVPfvU+fuBzR/ibf/mz+Me/9D5+/euj949LfuZ0C5/o65P7xKeEVabIplXnUVMQzSLbO20GST6kVRnohlGrH3IBVFGGjCdOb3C71+ybQD1pxUHhSJLIRoyRKbjzPxfjkQi2/hBI0XAksnEMef/uXZTVygMqP+NqGKDWUBsgqbD4h+D45AhP3TrFMAiG9RH2Kji/2uHqYsBkW6hN+OBsxEfnDRCFGt1IIAabeZgscXyQPHAHsiLidoEpLLC0I6QAsFqt8YM/+IPYbI7xC7/4S3gwP8A8zXGOEGI23zHrfExyO6Oz79vMovDpPPklyHYFfSR+f8cppx5swlt/2dDHr+YCWCBGn3R5oScqE6JacPpZh4Wrh7j2IPxbo4Q2D/CBNPqJc6Gy23+2ZYMcnD7AAoVjwlo14GCMIwWN9WCb4mMLMiA+jl0uekpATisfKZJ7LWYYVtQpSK3e4QN1mrq1lX9UX/CgMCEvTsWFqvFbJnELKy+WvSEqZYWhFOz3ex8tO0rhasxQ2kfDAFsuuMgyYcipQLEUFlzSoh0R5RlioRnI/uDLj4hYEqXSRkefO3fu9DPUX5ZQxa8HfNVAawioc6A6FNfMQJAKrelam4kOQd2CWqI+hYG0AKRl22F3/RCOflUV61KwWq2g2jBPk0+Clj5xWaIGTK1CjBtGA6UZUNygIdAdL8aNDgGcxvD7qPAsv/DMc9jtd7h/fuaIERBWl3DEV/1eiTe0rSkygNOjIzx1+ybuPXyI62nCpBNWe8WtIhik4MFWkTfHUG2YKsXjGhQySWzmhCPvnJIXgr7dF4ZYZb8Uof4kojmNIsgPC+NU6rQuM+sjfQinOR+89yELIwOa61cMCcOwhpmi+lkBsNCaXKOzKgPddFzzY57YicayEOdWRaLwpVBo3bS6wYHieLWGmGGaq4vdHaUVuHOUdfTD/NSG+xc8IddaaQfckzrPCZw2R59mNnGyIi82Fn4B6IUzqVkh/F7uz9yWqSrvKiDinPFMTvVU67K5WdALluQC53A+CgpKXIaYXlXXWHhrdYDKRVEUdByKq9WdtcJxrORMgMC/n1p10wHXFXj82e1qj8eGKIAS5pEOcmkGEfCV+dk07KaKWicX50Yh1Vxoyt+1pOINUGMcRzCKEo6OTnHjxg3cu3cfajv3fAfdvWrtTSNzmVMNk3RKCxetRZPqz5QfjWh2bWimvhSKRbYexApqGvzY91zGZjf0XclNAmbj5AfKv5dycKPRQS7yrdEBlBwCWlumc5GvwtpVjHqIoHqKNzB+SQEA0zR7Tojz47awZpBE0b+4GxAQDRqC28pTk7xBcc8aaIVOcWjJdIjjF2G+NYX4WQmgoraGcuDmIwJst9v+WXkf0ONNP7vx3A9oU1NlTdNNUaNJz3mhWHpOCcMLTgt4lpo/06YUhoc+MxgE2Tnz0eDEHYxYUBsBXxFutN1sNtjvRtJ/a1BlFLPXptBoEAi01NqcTkS3KI36pTWkBPyHf/Z5fHz3Cn/35x6ggg59YoI0JEgWVKzx5TcnfPR338D/6T/6HD56+Dbe+nDRJrIxtcfqrt/r69/AYtIwrFaoqKh17suY1BRzNTfDp5CPnp9MPsEBI8LB4gfDGnWaUKe68IQ72dT58AlO/lfA4sYlhJMqYtzibytnIqKOafoBYPF0dbWDpD1UgVJWFMOpq4oNgApyWeHo5Bif/vSn8IXPvYI/+H2fx1NPPY033/sYX/vGG3j9m9/GwyqY9m4DZQ1ARQZFlXObnKdYAONY2CFTmAUn3kUQOfiCC5/VzLDfj3jrrXewWq0x+tIHgY9kLQL/4g4T2/DgQTA6zMXDVnxsyw2sDKS+7EYpToIf9hQUHCUaFZSkSCo5J9cP8EKmlB+bDrCj54RBQZs+uhV5gZOIJrGYdc6pJzB+zChC+HPDO7kMLLXMYnW89mfRTFEyL+E4zpjrtLj1eNHZkXrnLXavdfB+Qh0FSqUHw1wGQMjn3qyA43VBnWZsryuOn7iFaa643u663ReTA0eTFCMDcCQ+ISENmTSKefQlZz5ZSYkLYEyJeuXi9luOshuXl0Xjx9JNUDtaGo2rohQXTDl6lBJR9mmaOmXKtCGVhCeeuIH9boaZC5/gXF+weDRtRN7858FA2oD/2eHA0pF5ucG0YZU9abAShknG3ED+d85AAzK4yr6poCKKdBaKXYydyff0Wh+r1dqTgmCaySFH8HhNAT3gszZFA89GhgDJvYXnijnoLuSIdOeIBLd3NVIzGhh/GhS7aU89inB8Ox+gPvEVIiz1xG1BfpFlIhiobpsnvPDcU7h5coqL734EGwaoZYzz7N+NhVTsSqAQlP9LCEkVwGpVPIFoF8pqgBR+hw4RQPgTTbEZOxppC20J/3115Jg0DBB8SQvNjnHaxezCwipB3MPZY1OhNWYUuymFPodcYVgUUECbfZGazigCNJkxpAJxgKaqIlr+aPSDDkneOs9MaxSz0SUj3otb2lW3avUGJrzGi6Oe/Xfjh3ShtlORJHcnpZxJz5qmipyHjhTDNRgKw/HpCW7evIEPP/wYOlYkuPgRQeEgf5c8dy9WNGh/CzrKnjZ1wXkXfUK6liClhBtP3MDV9TXPtd+J6rsdFKQM5JSBEM7loLhF3FaQZrz4dQOCpPThH1JCtRGaZlhL/quS3sDGx6cGAMynPGjaBe61km6bEumiKWWM+xG1kmIX2jNJrqUzUhlSLl4L8O+qT2LEi/fUc5vnHKVQVsynhnUpvC0LSKPxqX0UdN5kHgISw7rgmSdv4rgUPHjwEBfbHZsDT6fmTQGbl+TsAuuCcfX8GSYTaq57SgmnN05xfbWFau1glqqbgCQ2n4YFcGKcCa1YctoIt3izk4tcHaEj7v0C2EU8DuenAPWIZsN3xLhv/wG6zYKY05Eed3QB30hXa535kHxRYuzzgZ93YCnuiZCwZstuzwjX1CgcnCj+rkqiloO/Ej+/LAV/NFPmTSlrG+nc9RwaRAuWBuNCzrmzRYZccOPGDdy8dRMffPARbIpmxJ+9T3YUnCrpwe/CPQjSl5w5/IwvfGqNl587xf/9v30do6XuDmRCQEmciz+r4N17M/7+z72H/+gnXsL/4799B/tpASw+aQEP/BtaTI7j3g+JU1JSBoyoTSlrzNPEpO7cqtoa0CZk8W6TUCrGacY0XziSnrogwn8SUmHRp7XBmqEU6UW85Ni+5ckjUU3cPUWZoQBzGg4ycmJghhosFkepenAxwBQlr3B6+hSee+4VfOH7voAf/hM/iCdu3MC+JXznzTtMUiUDQ4YYnQmsGYYheY+RkYv0S+KfYnGDEApKMsI7efFmDqQ65wF37tzHo7NH2O6uAZO+HKYjOY7GMmlJL7aTuQ+7sY3ha3AUSVIXv6rgd6HSwa3zpVSAUzmAoVDg17RRHJeCm+u/o1MfAtlBcmQPCiQ96MQ9uVt4PscGy9YDS6D7kayyJ+sWTYUHrt7tu0hLW8P19TUL2BQiU4AYi7ryncFwiXXy2O/M8b6jZqlwc2NqONkInr1V8JkXb8HahDffPsN2brA6o7gYWWPJQwJuHiu+79PHeOX5FbQp3ruzxxtv7/BoF9sYyacUAbQxUM7zzCKTH9mpDWwMk2QAFXMNMQ8TDdGi4tSmQMI8QCkLipiOSBStB0gfA63Rwz+mQclF4En42TxxRFNGqgspDKkZSh6ALBjriDw0nCbgVknYCPBgmrEDlSpjaxCjWDujYQXFepWwnSmQyo7uZN8WmFPGsF4jO+q+Wg04PT3BMKwonPfzeH11jevra0zjDjrv6RwSZ9qrf0m5o/XDUHoyNKC7SQxCel+WAftKz276AGcgJ9y7OGcRCEFjCEHKQHLtCuD7M9oy2kcSWAIuxh3GB3uM0wzLA2ACTYbrcUIqIxTA9fbSv8fs9wTL75DQE3LQgLIkDCVjtVph9N8b8EItk5ceSHnwp4MyR0TThcJe0HKRmizezSmWqSyuWpJdIGtBA3TEuE8+nM9vgmSGqtxuLF7oiDhCqouDFkzQqhIMGaIYZkG7WvFsz62yz7eY4MUCIP6K4fLEiV3qyFvO5LkTzfMiWGI8Leg7TJBQq3KDrnOtRUi3aDORylxIK1A1d9Qxd0VyQbzzhQHGnuvrraN9LsCHuZNXwhxmAYmTO0m0vLMGqFtWokfXAD4c4DqIvOKgxsnpMV56+SW8+957OD+/WCanaEtBZ06f9BgMb3Tgb47AF2l0yU0gzKhpEm0o6ww5XWH97DGu7lxgOhuRZQ0T0lOGQo8SNOvOVuINm4lACn+HVHwDs1aoCqbtnp9AKbxWA6eRTlOUoLxE3ojfo+s+HACz0G/xHJoAosuEjCJsQeHhwBz0rkTHH/LVPRc0Wu9eXF1iLAnbNgIDUeCwfY0zTTtXb+g9X+Ig33lXFgmHMcudYIIOR4e+KBSjs5U+Oe3FJOI5ME4rYgJBfZq5foy8+rY08DCP69pBCKjxvInT4ph0ORGoAZL5wiLzcwpgNRRSWrxg5Yb5KNzdFchdumI5m/l9hjfikft5NtXF4UDYXppR0Ny0wjR13/XD/EbrJev/HkDXn4iQGqoOhJn5lKrbGQMqdPOLhZ7nF2fYjzvUOrHuRJiqCPVVZv8TkWk0YHVaFkA1bRhKxo/90dv45d++g30baMUqgoKCVV4DCah1xAyDWIUg42tv7vHX/mTBi88kvPUh37Z25H8Bin6vr09cxLNo4CUtMTYTAJLxwosv4VMvvYzXvvVNXF5edLSX9niOdEhyK0dH+wB/ObRRi+VB2RFbqHJBQaKfLAJBCoTV1wjHVekokf8h8q4CYePPVFF3rgA9XM29b5Uiw2ne4+6Dj/Daa4r99gxmgn/92jt449vv4fz+Pcz7LRKAAkH1jp+ivdlpRIttZNgWwhGllBNiJpHEKFz1gjWQy+eefx43bz6J+48esjFyXrYpLaBM3IJJQ10v/VBFkZbSsrk2l0K3nYMDyIPh1Bbr3+KxxQTik4+5zl05P6xWOD49xvXVNZ+5MXHBuBFy8b9nQq9qIBXAA3oSF3Xy7wX/1L8Zi3yR/n0Zv1jaL+uY491TfY8Yc1oIHI1/x7UqEZwP1eri36+1sABTwIo3Hz72FPr7H60SXnn+Cfz5P/1DMJ3xD//Zb+KNdx4BfmF1onA1DYIf+YNH+PE/8QzuPBjx1kcjxBL++B+6jX//z5zip371I/zqV7aQZtis1jAYJnWKmS/yajB38pAeAOMeid8XFrZrzOOI2PoWhWspzhMOpMiLiLCSM4vkYbi4uATXwj7uriDRK4tAlYVDIIPiVn0KQVbApEIkQ5JhtUp4/okV/tDN2yiz4k5WvPnoAo+uZzRJqNqQzTCI4Nknb+LJGyf4+Owad8+3AELHwVXtJ6cnuHX7Kdy8eRNP3n4St2/fwvPPPY/NeoOzszOcnZ/h6nqLR2dnuH//Ae7f/RiTNVRUjpoPJhQBZgiAzWaDVpujXY6IauPov2Qc3ziF7nbYT7XHlkmZMBqIUGojZzUlPrMQ0sVK9ZwKR7UiWB2v8OLzz+DB3Xvkxzfew7k23D2/xsVcMaP1qVHKXqx7ooQ4mpcIXGhtnQalzbCfAl2OrcFE9JK5bSKkU1miCRiG2Bng4uDEE8OGUR9b5NeE1CHp7kcH91VTL0xMgNl4dqXxdyiZ53Tc7ZnkGXE6jJXFURVp3iQkiBWIVqxLwWa94XKXVn35F0NNStkLdCLlw1CI5CsRu+zggDiKHued9Izc80boGdo8HxQD1p+nIRDDZcQdYjpVRcqM+9oCREFvsPbTjNEb6GWjM3nanb5o0nnarCx4r1gg+iM2nxInupxVnfisPOMJyF1+9913sJ+mTkEgZY1xUkBqRzhWGRSpY0wu6I3cAvgEyhuv1NB0xi4pNjdP8b1f/Dy++aVv4OrqAsXYyUYRDY+1JswbYbUpbvOnpoCSngNjIW8WG9ODB8xCObjK4SZCI4eIRdobx6bqlssZMNoOqk9q5nGmxgVEURWcUtBIT7vWRBBuKQZTLiaCCB5e7MHp7IAGTgiyRoFnWCcgqWAPoLnDmqp5jocDHtoLyVr5O+z3e4IUhQ54sU+h+Q6N4gCNukYhzkJ2TZY63dIMrudw+kUW1Kl2emfnogNos9sHJ/Rz38E1cOqZhwGmiloV2SvCcNpqbXYonHcrGpCeaw92DqzXa9SasNvtlrPuWTc7UBeWuQSbFtQ/6jftQZt6EXE72nmm7iQPA+uv2jptuDnNrg+rID45kf69BCGUJyC4WhUMZcC43y15Ns4jLNCTA4vfxcWpeuMe05HkW7+LVLz47Ab/5Jc+RuzoODm9gZeefQG3bz6Jjz6+gwePHqDurhBbgedqeOPtM3zvy8d4/+6+3wNJi3/87/f1yTnxTZA0O9LtLhOOom3WK9y4cYr1eo2rC+svPZw24qOYd6iqDWiJW9phgDUUgQeywoU61ryjTl2pDNAn3AAMaYAqH2g1WmGVNGAR8DS3q/MXIVRpR+Ltjg5eWEN3uLr8CO+/dYbp4Uf4zje+ifPtDpe7GdurEXWcMLWJHZ2Le3MeYPOITTKkQbCdZkAGhMBSvDGBB2gK+wwxIGYB74VSSnj48AxnZxeo8+QFKO08EYHQERhYwnrNDaO1zkxm7j4Tm886Qi8+/k2LTz0RDYezjBeMe0b8eXsEEXDrXXOO4tHRCcb9DNWJCBeMxZ2yAJAc3rnepHkX3nTiJEO8g/dL0flvBpguiZKFdu1JOx08J1VFKr5Tzwt3c5oEi9/o2olNQA3JN+ylkrBaDxjHvW9b5FngfgMBUnLaiLq/rOB6V3HnwTUMM0YToBRIsa7lWA8ZP/rFY/zoDzyD/+6f3cW9c6CBaNgvfmWPJ08e4G/8xRdwcrTCL/z2FruxgiwoQfiCEtN31BSAVS4IgkUzw6Lk9s0bePHFl/D22+/g8vKyo+wtUGjfhFnyAADdFSMlT7DuA86fDRaxEWhlSRrh1EDA/oDGYAY4P7/piGQZJRccD8DLz57iJ378J7B55fO4d/0B/v4//ke4fv0Opu3jaMvR0QlWqxVgV44FLrzfnBOG9Qbr9Rrr9RpDGSCWsL/eYbza4eriEnWacf7gER49fIjt5SXm/ehNayQCRwKNmgbxRiaJL0Vp8EbepzZacbxa4bOf/hTefP9DzI/O+PZaQzW4Joei3gx4A536RGQpAoXNduLZG3JGyQMUGXMzp/zQB/56MlzNWxc+O2IlnKSpf2Z1SoS4Zzq8R7VZoSlhahVJ2BgFUijGd29BqfNiz0DHJLiAmWJE3zHhST35FMQa7/pqVXrhGSOB7Ih+oLXNkzJdgICkpI2sUsJ6yJj26lNKp+dFEWoADp5VUJvMBJMqHl1dLrxooB/Mo/UaTz/zFM4vLnF9fe00FE402Zpl/16OwoPU3+6777sjVsMALeS2xulDnP/EqYYoiyvoIjIdhuJx32O5maNrLMSbeW4JgMVoqVhbRc4Zq80a+93YY3opCag7wuvlCEkB6J4aixx3NKYJXA5E+05DaxOaKa4ur5Ayz6Om5hxg9eas9NybkuNf0YxYRcrUJIRFZwEBGE5uFApOsnb3zvE7v/DbaDtu8DSh+1f/fMpFNgRYo7DktnMzgQyOLvsEET4tpNuLOKXFKY8QIryt+dki+t0qrSuzAKaVMdudyiWB0yL40qOUOn1w5U4y2jgpWlxo+H+y00hCWwfhrgzmhQFqiaCF+gnLGc8fH+HmZo23Hp7jmtQDPmcHhYKrnnOBGFBn9dxPemlKxemP14gt0hJ4ltoCPnhcgfh+FKBvsU0m0Kl1XRyRq1jkxr+bcmJn1pnKnmz6z3Kt0HoDKQV1mjwfJOTCdzbPDkQ6CGkq0OrVS4IDGoLVMABegDpQjqCnwVF/VwogTD4C7Ow1AIKmNODk5AaeeeZ5iCTcu3cPF+dnANxGUqjxoLidDVEgkhYONsZJmh0U3wHyJuHEsinBB24RH3x7O4Dk1DK/90H/CQaIdEaCAxMKCBJWg2BVMi5HwCwhpwHP3H4af+7P/Tn84T/0/fgn//Sf4Nd/4zew220xyIpMhFZx5+GEZ28dY5WAqY7UcvLW4pN8fXJOvI+KJb554rlJArz/7ju4+9EHC8c94qLzpbqQMbNIEdM+6smi2LSGW8Ma26rYwbgIBuAYxrtjCugakhnKauCCIB99BreQ41nnGvpIUQmTQAVRLTLQe3AW/7PNDDI31FZxMc1Azni43WKGQJogq6HkGXNlsjBUqAKbnPGjP/QDyAPwi1/6GraVoxXfp4q+abPycpi5ul0yTJ3aIOTDPXjwAIFMxJISCHzLpzl6QFRhNawxt5kNgcUBDutNT0SELFxQuSwMynlA2DIFaueZdfln/57h8DCPE+7de8jmSKPsMqKMnDtxBK+NlCVvXJIISk4sCJTBJ8FwtFljWK1xfbXFNNfOHexCI0IHLPRzQoPzPM360Z4rLeR6IGv8/MmLLlNH6r1QyasBN27chBkw7negbRWgOpPXCHJGtTVUCMYx4b2PLvCTP/c/QrLi4UXFviqRR3AJ0qvPJfz4Dz2Hv/2Td3G9P8HNGwmpkCI11Yrr/R7/3U/fwf/+r30KH51lfPWNM0x17ucyeaGSwKAZAQN+tlNQlUwx7a9xcfYQ87gjUlQSkDJMGpFB3/iYfFEW0QCeJSC5WC5oA4GQ8ot3wTrvNDmSx/HmUvRmMHi3QvFXRsIqNRSZcePTz+HlH/vjePLOt/D8l/4lXvvWXQrSKzn/ohkf3HmIB8WwrwsPX81gydBmg549xH63xb07HyPnQtcJsCGBGjYbIvLX+y3C3199bXmLYjH6o7boIMbdjh/cEsQyxFFJbYrt9grvvfMWxnFGEU7KJAGzI2TDMPi94s9gQQB41qfFonHFOQsoYLfd4p233/U9CkK3lEo3jhrNUU4oq5VvlsWC7gB9wsR/y/eQQ1gl6OK5mMqR1paXxsgYb1NJvvXa/apddAuzTi2oyhX3IfXtkwxH3HLK0Bb+1tkTriOw7ry0WW9QAEzbHeo4+kbE5gh4/BbaOdfmcau1hmQ+KZOM2QsSNSzCcAXdauaK7fUW87gnEOQJmWg/E6q5LkQ8dvBfB99dkeEbI5NARJ17nwBvoChyNmg1JOGyQpGMkgSnJyd47vln8cEH76NOW6d9OGDjBQlhq/De90rRi78bN55Akmtstztsjk5x4/QU5w/voemEnAYUm5HEUAUowwpoDUOuWBcW02NLaI3TGaTEZK9wQM3c25z+9QEowtwjPHPPihhFp5aAo6M1IMDl5RVKGbAa1tjtR6e8sHnLAuQ5Qx8qsmXG8Mx8K+I6DQeLGL0d7U0KwYoWpthzoRUKrMI/Z6KblIrTSpeYA10m5kFXKCJAU7pqJYWFcUiOHJOhShtmNjWCrMmLXv68uTUHFBb0d7GaXKa1ZdgQIJwysimOZcTNTcHFpLiEYa+K9TSjxvlW1hUNFKjCNS2rlGE1XF1YpDKnzmgaQJrTWoJvnjKLR9VO3YOARX8LK1k61MWOBggX3MXCQ2rnvN5K2SlKDWjSqT/Zp9PzXDHutwR6WvXPw++fMiDDQIccL7r9diGceMImNvnvUKe51w59b4NzSZvbb5qfGfgkJ/k0gRN3QVmt8eKLr+JP/ek/i/Ozc/zyL/8Srq4uEC5OtKVk8xZW0dlHCK1yvfGheD+mZQRazDn1BDQKCKw0KNrs53CVnH6NzhJJjj4Mq5XbfIZOIDQsjLlqApEGs4KcClbDBicnJ1htBjabgm5CUSduFF6vgHFfoa1ywZYjavI/98bWvF5jdApCSuRBh8gDdbGBFKNgICyEtFvoeecn6GvR2yAoonj5+BQ/8ge+H2988B7+9cO7mEYDmo+XPGF2GkzhWKQlQ0vu/Q1fs6szP0fKkDxgGNhddutAPzDMYTxIfNHkJVJkKDi/3kJVMYHfKzVA0IBE9JUHQ92hBDh/8BAQRfJkaF40R2BT8VHYQWdl8d8dAeqCS/Htp4iOVTotZBnzGnb70ZEPF3r4+FjMx0qO3gYXu5ly264jScVttGpt5NEmcbQ2PitfWvVxZgiXCPDHVrWF90axFYspNYMbYQJGikgGL0T14qC2hKSZ/WB2xwyxPkZFinF4TBjiklvfMOcPBdaTaDRm4dzA+M1GSjHPEy4vLjC7xVbQbIbVBqqzB6OM5l39bmqoteHqihsNZ+V/mqP762HAv/2Dt/C1Ny6w1w2eun2C208e44mbxxjnhrOzC9x7cI7LK8GvfeUefugLJ/jqa85vjzE8Ft4qeyfzVOhoSmKxpmrYbnfY7z+gFZpTBdKQIVY6fWYJWCBi4MuDwpqOjzZ1G87YxBrvMbjORcKp4vB5GvdpiEBtgJoAVlGrYj8DFxcP8fCj1/Ebv/LLeOvbH8BmwEKvmRIkF4ytYnO0xqYk7OcrCjd9S7CZoo6K63nP4sQomBczxgFVFN9CqfBJm4gvyvBJAeIZoo/l4ZMVgUGNiNp6vXKqBTCa4d7ZBSyTBhA2hsWdaKZpJu0mOSroHNwQkte+hZDTH4OhVW4tDoGxKTfbssHg+YYk1z0Qiqruy27+DkOXAKVoy4TYTNZKTUZOqCouRvXiKgEiFFNGUlH3txakvgDHHxVjrE/jQncRsSa+R/OtzObIPZsSnsugarTKAiAaDjXnzPrzqN5QNyH6BacRmcf2lIsL/RYEsiprVVUvFgU4e3TWPd6zu4rBDrbP+lhdJNBfZuI8ZJwcHyFlwW6aMDkdCYCL6gGT5M1fc/qUdSFu3Ks6zy7088LLFn1ByuHZ3tDUF8Q4zSLMBrSxkXn106/gC1/4Q/jlX/gVXJ4/xAkUt44yrnaCURSf/1TGn/xfPIMXnz9G9nNcZ8VXX3uIX/jyQzzYJpgxXjcIkgHJJ1KCjFiEuN5snL89+c8WbI6OUFYF4zhinAiE1NqgOnaxfkzOhmHouehoc4TLy0vSF2b3YY0CPiiLIkhKoOr4aANVxXbcMWYI73MeeI4n5zJnj+PJ83IACt39ht0itM4wVKdEWW8CcwGONhtMU8Ocqk8MDQWCTVk5Oq6otogM+XPCXprTWy80ENQ+lARpOxyvBK88fRtvf/gQly3j7r7iYdtiUtpee23rACWwHgboXNGmEZYI6pCKI8gJUJt77aFQTvbFL4MX+uKTceDAQrGkvmVWksCqN9LuerNssI18slBait8TUvTQAYESU4Cmnc4DVU7GsNjQwhsL+O8R9UXEvt2OjQB8mty1C57bnCBAINKnl4uA1ilAajA0bFLCajVABBjHHVqbem1hniO5WyN7HYLuVsjhtufAqAl8ElMKP1tOyal3Hi+bYZ65HJJ6F+GbMf5usQcmxOLNqVLxvuE5e5oE+3HGczcHXF5T5/Lg3n381E/9FH7pl34eH374IXY70ndqazBiB3jl+SfwG199gKnt/fMJTBwh/wRfn5xOMxSUzYqq5HHiaMG3DYoo6jz1oiDGlwzyYHADHSk40eEiCVNFs4YRE+6dPcTlbguDoHitS+2gdBFIuB+oVtSWKVotGcCMlNg0mGZAir/gHFcLsaBFfEmQeJXK3ECRFUxRVsBmNWAaR9BNoqJBULOgofhLF2QUiuHmCd94812oKPaa+2es8FHMwUgM0dEZFnGNjyUXPaxzMj1x0AucyFJwpCiEWlT54oWVmeH4iFSEi4sLxGKCWYMv54tYhEK60DY0XyYV3OgY2Qq8Q3ZkDpAuIFzGdt6ywjvHBG71ZM8NmGBdMp57+mk8urjEo+srxMhS9zsYyAuPrkE02v2DZQrxFiUs2pyDKLmLWEWSW+/xEpuPdNHU0RxyzPe7Ld+Dd+WawIefcl9hvlxW3vI6AzqxyhZhs9NYjeGl547ws7/+CEerm3jxxVv4wT/yOfzhP/w5XG9n/NaXv45vffMdfIgzvP3xHl/8QsFKEiZH3604ogv1e0OaUNDOJGV3e3Ikw++Bge5PqgaZmDDROEUIPjX8SSgM4YIQz5LCO3cP8kVDsYQj+XlcrEaDkgF+38Q7JuoFiwj2+4SP7lf8o3/68zj5rd/Cm99+G3c/vIROXjwa15FDgLkC1/vZpw58rxT7hW0lxezhWNNAmorAx6DJYC6wzE5Hak4LinOittyfEPRpVeREcl8eMk5uHGG/HzHXmc8PcNTVfKFMoE0sjGKyxc/l/5s/F3VULSZirXpc9CK/qSLcl5oZbj5xA6UUnF9cYh4nLzxTR7/DI5+oVYPkgiQFTQ2KhltHA164/RQeXF7ibDtyxO0JLorw5EJKNF18rf1qqUazrDDjAiqBC+YCnPGnGRatJnH+rfP0odqneWoUKseo2Z9SgMH+qQS0HjWE/3u8o81mg9Yapmnyw+aTBhO+kyR9y6JZih4YcTrN73Qc1kBaY/v30WaDVz/9Ko5PT/D6t9/AfjrjIEXN7US96HAEWpBchJ47qHF1cYnt9WUvjLJTZ5jksxc8y8+NRknAYufs7FFH5u/c+Ri1AvvdDsUqXrqxwhc+8yI++PA9/PEfvoFXXzjFz33pPv7RLz3Adt9wuhI8/eSAP/i5Y/xf/9Pvw8/82gf4+d+5wmTFP68hu399E1JVRIC5UqzJgQVdzuaqMGnYbveYXXeQkvQCPt7WYw2qF3E5dG4Szjek8sAihrmTmSlOT4/RqmHaXwFur9ykcSqdDA0uFg3wIqVOhRDXTXBzb/WizFxvscKcYtJIACAWOXoX6DoDFoGrQiAgcE31mjlyGM+oIxxmSDZCUgW0QEVwvm94+84jXM/A7E02z3ByFzF3ZvNnNviGWG2KXAQNAWYamknfo0KaVfFYtXwOghfh4sQ4H+5xHQcUA0n+AiTy49WL2H7Pa+wIcBMQoCPUrCkybF7810ungmHJp8Z/Do9/YIl10Xcs4mL/nAdgpaRY6Ba5iQ+c8fyAIpuKN/2GuU54//338C9+9p9jt9vi4cP7aHUEbUG86VCDCUXjEgHI71s3OGDR0KkvSRVAWJdSBButSoIgrdZ49bOfxfnFIzy4f9drLOkAYo8pTmnS2hzYYbxsmvC1b5/jR/7Ik3j7ozOIcsr1ndffgCTDVBtabZh9EZtA8OQTwIvPbvD6h3tSeDzPJYHb+f7+X5+4iN9Pe7z80ktYrQa8/d3vUjCRKZijbXFaXlj0poGKwvmF8IsJ4Yi0CpoUfDzOePjmmxjN0BxOSmJ0FpEY/7NrauL0GlNoSzArsMzuVkwgbn/FQ+0b8sS7ebFuKXWQVnqNrTBYFgzHG+zrDNPKv5vcPaW520fJWK/WOF4f4eriAtdthEhGE8DqhCRB6TE/XOICCOdtV8V6VZAK+YjkWi1iiaCriGSne6ij3+oinwUdzc7/a60h3CbGcVxoMHVGrLBWUx9/G2qbvTD3ojiWOAl8uQg72AT3G1enxYD0nzjQ4aSRhK/XEq2U+K0FcJ76qqzIaSxD39DajC47JyenkJSw3W77Z122lknnsrJg4gKbUgqXjM0VIVTtCxxybCB1xML492OQz4TlqAuAaeJSLfMCo3QPeR6f2mhvmcSQsl+1RPvHoSRc7TnOLjnjxskJXn7pJcxV8P579/D2Ow9Q8jXmcUQpXHZDSrotqALI/YQ3Pf139WYplnXEcqfYpeO/IYY0ILb5SpZORXISwdJwhRsBqyeOWaPpBlGh4Hn3ojicpfwOCQBJsaxpAKRgUuCjh4JH13eQX3sX1+OEOglUBzRdEMqqFaYN46QoacXPaE73EaKB3d3IXLwWmhKGDMBi8Qg66nMo3lw+qyeK2JQotIwEaH+63V37UhpAJMKgoyspeKZ8VjnOoR5Q+/wrxGmBlsWIOXC0vm1XwyGiuOuK+t2PgpB0mNa3jTB55ERXnOaNjRTB6ckxPv/ZV/HNN7+LR9s98pCQnVLEUT4hbAPfUxL4CJqcWpNYqMTPVtzbnucHfnaW7dshp6T+nvqZZtrPjRgL2Zs3n0RtDefn5x4XWk/U4fucvZmIYpHRjM2DmKD6GUwONigWD+9aW/973SovJ3d6qr31iIkld11QD1Fbw4NHZ9jNE6Z57vdATX0SSRpaEsGN4xP+GcUSi/w+WvNCxc9ayW6gwJECCxI/fUE7CLeMeZqwGgYkAJfnZzi/OIe0ilVuuNzPuHtxB//en3sWl9sZf+/nHuCdj2bMwymOnljh+OgYowh++jfu4Fe/9ib++l94Fblk/NT/eEFnoOaNvxc56g1j04kGEf4bp5Sw24/AaH626b4DgRsCWBdXsnhZtDm7azaKOWVf+ON8Yt8cHvQU+Ll/dP6QlBkziBpE2uPvBUDJgiIZ84FQGxGn+rsm3S4W8Knfj4bmRb+hTRRlm4MW5jEOapgqFy9R81ShFi4zchhID963gMKFBJWEltbYoqAOwbeupHIYuLDME4XkTNqXLufZ/JmH0D6mg6yLpOeAFH8OAsLW2s+e+JS8aUNJbm5hBnhxrYCL9FnEl1QcjX98ShBxiBTG5iAYQY55mhgTvKEDFkvpAHWilkuRV2NCIMuzXPIG/13yqBr0TQlE6EC0GbE7vn+dJ5yfP8Ll5SXMFPO0gyQ7iKM0V4npz9II8L2G+DaaT4E43SjBKnNeNTI5TBUryRjKgKMbN/CjP/ZjeOON1/Bbj87QprFPmTqV139miIyll/D8PX/lt8/wf/lPvwef+p1HePuuIqGizRUihuaAU1C3BBV/5Uefw5e/dYazK2FdBddUKCdXn+Trk1tMThPm/Q5WZwBLgdXNO5XBMzzNqf30hNLQg4KJEP000Ms1CcYyYOsc+2x05FQvvAKVZIFpPTlDZuQ8QDBApKAMgs2QUSfDdj+jWYNWdlqsJ92uKy6vX6goGnnEFOO4x1mrTk/gRUkpY7BGwWFSWDF87nPfh3/7h38Y/+yf/SQ+/vhjjiPjhUb3huDaLWrybNIR+MOOsZ9tT/bdF9hRqUAfGaRYnpVcEA4KMf2g/+7UD16IljqK7AHZEDZ7ErGyF3wSiut5KYq6sju6Hv+zcVmYdA0q7GubmaOtCtOKd977ABVA5WiG4yRHvWhF2jDX2alDEQhdqJMOgt3BJerK9IPE0bfm+RnUKNYPz44x6LEJJRppGkFHUAopR/NM7qLkwdkP5gK1DfbTjLkBl7uGJ04UHz+acPfuOb76tW/j6noLyBpvvfshLi72GKeKp08nbKeJrh/JUdNIcIK+9CMsInkW2jKWhBcRyrEftTzinF74kqEGUUUe6LOt3oS1mZsxc2GyhDFPCNCfpwjQt3A+9qXLOzf6R6/WRG9U2bRN44zRCnbVMMAwSyY3kCpBD1jWk4yZQCUBKYoE//kSNJaC1hRDKTh94hZ2+y3211tSK0wQYtBYqBYFfUBaQV3geVe0xifKnpLAw7inR3UCWMxKhhkbW8m0XGv1wLVHbYkd4otG+rlU9I2r7hkvfqHMPwskbBIV292uJzX0j807VA+a0Zh++c5clFLQkuLy+grfev01nG33yKXg9q1b2F6eY7vdIhbb5FQQ2zhLKr69Uxx5lX6eEwRtnr2pBWlsmY13b9YRk7fEpiK5lsNSF6nlnDAMA0zEdQMVQ2GRYB04idYmkr3TUkyx311SrGjqW5ULizU1qHCKQxpLjOm9QeoNJwWSdPXxZx9JVgS7/R4ffvhR19fwPLhlazMgZaQyYEgJp6c3cHF+ganNbHSVDkZDHmC+K2G93iAMAEanW8Xvx/ziTmGh/4pmyM9LnWkRnGCYIbg7J/yxF4CLXcPPf+karzz/HK4u7uBRG2DpCLvGmLltBWf3V/iv/uG7+M/+48/itfeu8NaHruMQt6H0GA4LnnmcQ+v5iZ8jkFI4ZRE8xyK+4dP3L/gDJxinbjiQfUtngyYW2nAaQtMAQHzTb2JDl6NolQQgU39iQDVSgnLyfO8ABznf4kAaudXT2NwVjPGjwYvjuEgxEcsEWjhh4ptpfrcRtqxuV90bf6e4mQnm6q4wqJh1hg7UtMDYxHoE7Hna/Lk3O4g9fjaTZSQZHIjzglZBzYWF9oOfKcCA2MStzq/n7U0drJOUOp0LFjHbz4DQMnShoKLn67lVSMqYqyIlp+HmBCkZda5I5rzz5nWFhD99c0AFpAl2DcFSB6gq3ZC6ZSernr7c0qLB4t8JrQ5/bwNUCTCIYJpH5KT9jpVSYDXy9VLLBOihPhVM7sZnMLcPzZ4b+ExVFLEELeKQwjCUjP1uh5/95/8c19srcvv9s5kuYGX8voCDPQ5/RVx6cCX4Bz//If7GX34F/9Xfexd3zj1nh5OQNypDBv7MF5/Ayy+e4G/9nbdhvkUZfjc0mslP8PWJi/hkhof37wGCTjsAWNRoa73QIuTpFxEuZpAoZr2AiZFXr1w5RmvVOBpKB6hr4gUtpeDo6Ajb/TVfHshLL9JwY53w3LMn+MxnXsb77z3Am+/cw/Vc+WyNxyQsl5bmJrhb0WiQsypJaJko9FavKCibDbI2zHXsifXi7ALf+fbr2O6u6GKRCqAN4WeuPDXL/YJfKGHAq9O4HHBHp5ItdIYQwRBZi0J8QRt5uahFSBbcX0BS7gKXaKTisPI/jWNQR5v7qMtfBVyxXduhOwoPX3Bjo7iOopqUBf6MFpTvlPoZ0SyYRNB8EgPUnnjNwA2rXuQpomkgmh6FZl9BftB9N3e0EIiLEVloGFikh53WcmGZJKhX4Pgw54zWDLMSF8xCC9GT42NcX19jP03kMCIav2Uy0iD46mvn+IHvOcG3f2mLOhkuLi/xzrsfQtIKV7sRV9sJ1+MOf+aLN/CNNy8whY23i6E8HBANPUA2qq94jv9efBEK/GapK9gTKEhKKaFk6dxv8qjRAxpUkWURmqeUkGPK4sneAnHwsePCKfem3ApECm7dPIbajIcPr1Ab0KTC0grayJc0WUGlkevsdz8CYXCzA1Hr7iyVVnAmxsYSgpIEN2/eQGsz5pK7sAkLvuOxJQRq7ooEFt6ksfhoV2gVac6/jAkX7wJP/6GAyfz+iC0TAB5fWseqNkgqvKeJ31j870ahH90x19kvjScnMkTcYhPjyckJjo6O8ejRQ06GhOibxflYsXDCDGzHCR+MD4EyAGnAMGR00w2GD+SBIkeOxLmu3YSbaEltUN4UBSlSMN+S7cV6GSBBa+r8YX6akoqDFnxX8Fh9//591EZvJhPX03hBFoUKGx/Gm5yEuoNqgDu4PHHrJi4uLzl6NoNkf8bm9sOW3BXHObTWYHBzA3/e6s0hQ6bTRLwByBDGSLCYjgeWUnieczI31wmTL/mibCEAjRjH06N7nCYvOCPWRBG1fL7eVGhDbXGG4aJxAkWnq4Qf/v7n8V/8999BHTOm6SFqOsZmdQPr05tIOWM/7jDs9tiPEz4+E/zzf/Ux/uK/8xz+y7//IZj4O0zB8xhAlZ8l0vvVKai+qCYt5zKQdxouOLgAT6OmHZRKyXnVJSGs+7TNzs3OvdCy1mBJ0TzWDonI9ogBeVgDdYb4zhkk146ZL98rA903+xRWXKuSUdW3lXrRTxG0gwVmEKfumSRIKaQ9QWGNm3xTUAcl4ejkCOM0Ye7L1hKSFCRT/t5FMMOwayNKylg1w+Tmet3lyz+/eROg5BkhOTCpqih5QBpIRYKhx6sAccw6yxq91RVOh8KcIWr9w8lYt5gF/6wq92iwzllAuNWwws2bT+DRozPsp9l90nn+dHZHGS+AlzzkEIlZpwOmJL1Q9kixINWqaD4ZP6w5AIOKdncXeE5PoXn0mB0NPkvIZXokII0XdrALxQGHBVBc7JDhTV3sDjKjzay15oBKWJjyrzco0GZorXjvnbdhoePLC9DamyV1MxUjIKVB9pclH/+rb20xrO7hP/sbn8NP/+pH+O3XL7DdGqolrPKMl58t+Kv/yxdwdDTgP//7b+N6n2HgvUkW+ZFgxif5+uTuNNJ8gYUjmzwjaJXdGhEPoK+O9QsV/CnzBy85u2DFD1gzSAOSpi5+NEd94OgCkY81nrx1C+PHe4x14gUNjpRUfO4zz+HH/+yfwC/+y9/GBx9fYFcTKmaIkN7T11/74StDhjSKydQaiqOwRHYA1YT1cIyXX/kMPvsHvoBvfP0ruPP2B5jriAzFB+++j/sfvQcT8nnVkruCOaIVRbV3qSklrDfrvhq5wvqGU4fzEC4rMX5NThvh72i9EJiNFBn1ZHzQJIZJEwMu74//jKXbj1Fb2EYBXlx5gReNF5K/R0hfLw0AphS4Bu1AwWJ+lQfINHtf5uNuDADouc2gRYQ2Eqzf8d7sJG92JKceaGD2WKDowhgfWXJ9eaMgLbl6vwzc9ujgciBkMZvJMNw4OcYLzz2HDz78GBfbPfnjALjRVyBGAWhV604EdTthtWZhszla47e/s8WP/OAtfP7lC3zjnSvMOuD84to59UCtgj/wacOnnt/gH/zCXQADSgaQFNM4MqakRbwUTUo+EHWbhXOPv2OLGBZBSh0tTBjWK/fVXRAYgHQmAJjaDOc99aQA1f45Fr3D0rREQyaOsm53M1RnJlMoJBvEKkwSKmITMZDEF9hYdsqidrU/vcf5LtRpYo85Wwm3+n7w/ntsNl18G4BAcC2axORKDgqp5VcPBEVc7EgjJekNPfWcjGkpC4aBm2XrzH3zFF1Hy8Dfi1STBtXqDacjjI520tvYep4JhLSpYjWskXJGbR4nk+cGRUfRVPm5QrTJpmKCIkFaQ7OEnRhsashJcP/uPdLjwKY2lwE3b97CNI64PL/oRYOC06cGTseOVyvcPH0C5xeXbPiEcYNr4RUvPv8Sjo+P8e6773DRnwAQWqepFx4LZ5T+3+oTCl5b3vlcHJVBTB+0gx2ebkn1WQ+4ffspTPOM6Zr6qEi04nHAfAKEAMGwfIaFEGwY1mtqrmbXU6QMQelFZvNxuMGDp1EnlMyw4+2FJL6j9XqNOldfAsdGeLvfdwoi4LQesGhrZkhm/V6mslAUzOMRUTwuDswi+P6XV7h3/xIXFw2b1RHO5yNsbj2Fl557GU8/8ww0Ge7fvwtJgnGcMO+B33r9Cn/mh5/FjSPgYucgitNZzUXK4vfNDLTmddAqIaGUgybe31mAIAG68XegbibnTItICJo1lCxQhAW0YCgDb7SbEZgLlRs8t5ogDxuc3LqNvDkBxhHYX2MDw/n5Q4TQks16hYWyysBCVgQihe4tLg5NUTwb7ZhXpaCs15grReWlDCjF6SwzID4ZJsqZlkABLOcYFZDmwmmBOS2wpAJx/Z2TTxEUQ4viThyEyrQpneYZKWWcnhyj1oZL37MSRWyd5wPEdaFfqaPKqkaaE6QDEr2xUVJ4itPwDrVqXAbpE30TVG242rqjUlq0ggF6xO/PrcYO5Ih6JZHocuVT/ZTF7Rm1092AZeHcofYq8tM8N6SSF8qggUvULIr9CNjo74TAq9O0nUJUSsZqNWCaJgIGaWE7xNIv+u5nlCH1SZpAemwIcNVag/iCyobqOI05XSo2oC+NMO+V+rsQB3/YnAcgyZoM+Je/s8N33v0O/tKPPoOf+OHnMc3UlwxrwVQV/+or9/ArX7nChBUAPu8ctaMsNMVP8vWJi3gWnOGWIf0XC9ugBFAo4KhaCKKyOPdLOEpqc2y7MyBM9nna3F2BhUJHfOHbPaeGh/cecJQGH1uBQpHdPuHDjy/xa1/6Gt56+2NMoz9o4eVegpSwk1KF+lrmxtYHyQypGSoSBY0tYRLgiSefwUuvfBpf/cpvQXVClsaD3QzHRys8efs23r3zEGP1Lsp5bbGMB44SJJDzCvURkHCEM5Tc0U5eKueTS/Ig4tQBLLSVoJyEk0sUqP0Cmy4/Gz5iywI5QFyARNqfGYbsAlGLJLgE9xyFBbQf5EW47GWvBeoLPPXEDUymON/t+O3AArqB1nvJlsKKNoroCv/k4/sIAPwdFjpPoNPxZ9Sf2XoYoA2oU+gCqjd5vnDsoOtWLBzFlN0toE2OToZL5Qbj3DDNDbMqfZtlAOBIRaWE7Wi9QdOEv/2P38b/9q9+Gk/eeISvfXvE1UgEdFMa/vgfvIEf++Iz+K//4du4fymwFgjkgJZrD2gIqypBHxEectH7uN683/cmqTlCkwtFf0QGF+GVQZx/6CLpzlFmIZNzhpTSCzAASxEfxZMXAjAiKmcXW6gKgBUgiiRu+aVC9xoDiLC5ry8c6fWiKSxJ4aibwA4KcTaU2ddP78cxoosHTU/yPsxLXkSn3gg5leWgseVZ9cq+sY235LQxCQtc7ZoVgKCCSYzYHXXzA007u9onGPzyRnYY8OSTT+Ps7BLjuIdp8z+v3Umq+lQimtSSM3b7HXa7Hc+4+OfwqUoxhbYZqly0VZExe7RIBoz7icLVNCB8xbfXI8fJMnCSZ/7n/X0iJWw2G5ycHOPq+hqTzggvcvXGbhgGrFcbRKEtwhXsquQBNwVWRxukknB9fcVm0BTW+D6kFEdnhdu3faITxWVrBq2M0zkN2I8z3n3/A4xzRUWGpqBAOtUjEZGLNfZB36CLDGM9PAcVyZws+SlIDvqoLfze0AQYiBpHIzBOOxeQK0oZMKxWbqyQeqPb75//vYgxoUPhzyTqz1DpMcjpp93S0I/Vyy+s8dFH53jqRPDs7ROMecDxc0/hxVdfxve8+hmkrHjzzYw2bvHo/l20mrCvA6ZR8fSTa1yOLLih6D8fZmi1ogwDUimYKi0mo3GNbb7RiEYRGwsZBfyzGT71VMUcPOnU2y+EIcI8k44W1I/ieg6TwrPfFOthgz/57/4F/Phf/av46X/0T/HLP/lPMejkT22hq8XUOuhpzmHx2AZkZMA49k2WSNkC6xFMtQNQNHcYYKY0U2iZRbp/7XY7ryXEqUN0JUmpImdFritozeRQC60apaDT+MIiOHj6ZkSyZ8ykliQAaKh1Qq20zmTjKN19KopYdRrS4R4bgrHiKLu3WJE/yRd1fG6ZOtZau84oplO1KXS3R21Ox1RfhueNAB3cfOp2GDPBOA2NGEs3uwBXtTWMbvMYgs/H0GvEffd7kzN1OeoLnBywIRXRaUIGX0jH90E7yYT1eoVhGDDOU8ckvVro5ycc7OA1ZNQJjkkyH3p1zD0i4FlJjHksjQyGCjjFpVMBvYAP5sJ6tYaAYFxVpSlHySg+Xf7gPvD//sd3cbz5CDdvAEMSXO4Vl9eCGQK0wrqjAhL8VnP9UpAWPsHXJ6fTeDBusSlL+fCHXBCr7hvcjz3QTxeKJMnIkuleEMWmAYLsfw+OuNK2UdgEuniBdohzq5jHGdGq5eiqBJgt4/W37uOt9x+iTsB+nAGhJVzTTOS4eZCLYGUxogU2MLwgK6zKgPf317gCf761Ca+/9nW8+/6buLj/EZJVjiS9xhl1xuV2hwyQMx88X+MlFeMot/iz2223vdBYFeB0M+Cp27fw8OwM59OMZgkmBZKK88iY/Os8QZKhVuvCVoozl0IPiH92Pq0zAVUN4fC8WELynNP/uWGeZnrCJke3gZ6kDoN8BqBGBMn65fYEawnwLZ9Nm4+Mo/sl/48tCnCIALB3ICUhxmsppRiy9t9tbm7v2ZTKff/7dFuo3g0zZQcHld1x/MwIMFzzLQacX15jv3sP81RZvPi0aD9x5XwzAZIvqdJgvjnqD8PF+SUsCR42w3/x997Fv/cnn8OPfvEpXG+JCBwfJbz5wRX+1t99C3cfcrZqqqgNqPMCOahTubSfbnZEOWcu9aq1I6EcE9J1KHiIyd0xmnEj6DAMyMKkCSWlZZpGdKGUBLdQO4oR7gbLO7feAB98Ur/UHJvD3wJscM/qBlOmNEmClNhcGULPwUB6fHSE1bDC5dUVpytgAbYZ1qjaMM8zprkRwSwMECzC/JPkjKEUtoZeTKuGGDsaYibadBAJ43ehXsWDcqDGYPFbZ/cy9sIM2nhqbXE6QVNHyPzcptRB4JOTE3zmM5/BG69/h7sInBcdzz0abzYQpLORy+1NZyGi29TcwjaWQfnvgOWul4H3VyFdcBlnftzvOp+1uv1jzt4YqCBJwX434qPdXSYgjxmSCqzSS/6DD95DyYU+9konsSTC5XopQYYBf+SP/lHcfPJJ/Oqv/DKuHj2CuEg1RFnVp3rcvOmbvp0bzDotQ5D5PQ2w6t2ZkeftHS60xf4EnqFovqL5Ey/GGbsGzNPsGgzphQXNAwCkxT2GwJefEQsOLg7iB+3z5rl2oCUlAVpzhyfex6UYibMUwMTyTpwW29HGoEiYAethje12xIvP3sKPfPEP41vvP8R0vMLx8RFeevklCBo++OADnhM3f1BNqKoYyoCcG9qsvYEVoZECJyTcX0BrT2BYryj0rvHzDebdN+/EMgGiXiVDpPVNlQEGtOZuSojfncVoiCOTi9IVPlV1Os08NuheoQ243u2RZlJkE1Kf9vrt7Q/LwK3PgKFl56kY703OgMb2Y6eUJCSUvO7TEBjPEClOyfnatb+vQHIZ/5wmCgDg3hM1p06YIAc4xcqbMdQrX4Fwqu+LrKRkzPOM7fbaFz5xwsuFZIvNMWNYFPFcbNW0QRN6DAu9FPVpCbAGca0clNOB7BoGQ0xWDkGZQ1E5mEtlaWRx8Aw4BXSbcBfXSi4I+1rHQw++t/hZ4Zlj8bvQciyhT/lTcTouFm573J3QR6UUYmu+4/Vmje/57KdRa8N33/oup6BICBrNIWedLm1kOgALBYcAnS0INw8unP7huCIbUHOBd9cVwGsuXxA3lIFbpY3ch+DbJ6PGSy2aq4zLneByZx67QoOWgaQQS5BCWp9a89wZU+n4oL/31ye3mETyX8o7JSW3LmcuKoLSfULFh2Diy3aM3sQGIR8egdwBKRUq3Ss9uqGslLKQnzgMAxTafYFjrB/2itwWNqK2hLYHdnsWOdUOOjwkZ0IqYnGN+QHMSVAAHInhj77yMjbHx7j79a8x+ILeururEfP1CmYNyD6aVKDljO0MXJ/vupVk8pNtAPKwQp0bDNrRGthi1zWI4qmbx/ji938e33rt29hdb7FvYBCCL3WpLEzV1JcqLShtSkNHLnl4FUdHRzg9PcHF5QX240zQJ2coFFZjzO0iHCRHxXm5TXxRjW9Ei0TE9cDUCbFYF1qFSiw28WJa2V3ev7hkEe2Xuwwrjr08AHHpk6PrAkdkrSNmSKB1VIrVzAuVBuYoXAS1lJHEJw++gCHKtyjYcubfi6AbftcpeTcMQVpvILOySRNBhSMcJPpza2wmT53FABueWdlMNhW8/8Dwn/+Dj3B8VHH7Bmk4Dy8arnbC5kx1EUc6isUlHP784zmadju/CA6WD1ZGS/yzFx+SOcEIlMrg39cWpAd0quiFpIZtGRsuw5LMmQCzi5P8rMXPNEAa+Nl0BnxCY5Z9qRCXorFwiAlOBXsuNugDaDm6Xg24MjYapawwrNa+dp26MzVhggIADNCqkNSQkoMCJfziDSa+qEiyy3GcD+zNnvZqzadISRahnycQboDWvtjK4gz7uyZVh85LRH4Lg3AkIZ+OXF5e4hvf+Dq22/1Cl0NoDhhJRRh7CDSZ90bUNZycnELNcHF5hUDFVYFUiKg3bSjZA3fzhAigzrGEzVvBTLpEq6SmxUg5mbAJQ3J+dtgEx1RPHA2qqDO5okxUXF5H6z+6yAyrgle/53O4/dQz+I0v/SaQC9geKYKkH6g+BebqkyDpjYx4a6bmiTsXmDVIcw4rjGbKiN4sQAs2jQQqzcs9A4yWvPExOuqeCBLFZs6OfjqCmYRiTgidLMTYfDXnjYfjRVj+8WBYR40fK0RwiMejo6lBUQmaKM0KDE0y7p3t8epTa7z9/ozvvPMhHl7OKOUpbC93ePfd9zDPI87Pr3C9HbGfKtSAIQGbTcb55Q6twmN8gDwJKfPeVJ0hMAyl8G5W64LO8Bg/3KKZvABiQxNTP/LgRThjWwohn5bkhDZXGBoSXEyYCWTZrFAT1CLQ3Ygv/8tfwcMP7uOtd7+Lwx0utTdCLjhHNOSCZBk30gzFhJ1sMKNgs16jpYKqFVlnaEq+oLQSbbaKpgk6aff/70czgXVJcNR7gSy9MCS4GLznmBgu75WNJB2uWAGDn93pdUS9HVjy6SipMTRTgMdk8uelxwZSRxqCccZc7O2MVlgaIGlAUsWrt0/w1BMbfPv9e7iYuCU3p+JUGoI1HoF8ehpFeORbITUtfoYwx0jO0MY4EI1xym5z2yo4Y3FjAiQv7v0OelMEKJ9HmJ0o87covMBWNgZeh7Cm4N8naUGdrgys1gVP3LqBhw8eoetzaMOE2OVApNxIkTmYki7U8uiio0VnjgKANvO8U/TP/N1kOZvwM86cJDBRN+cgcBu0SZjHSaIF/v8zWqsOGLCBcXJm1wgAnvcl6Flh9/r7f33iIl7hwqKUuPlNKP47OTnBvXv3uNwi08InRiOBegngqm3nlHqBpa4SXl689HGOWsPc+LLDNzWVzNEDAEFz5JA/T0F0Mkk8aHNnAJCf6wgKLdZk8Tduip0ZXvv4Y+RSMKoBUvpFFwDihd/hmEjVukgyHrV6gQoAKRFdTbyjLIJTwqzwIKc4v9ji9W+/Rd/s4GEjvHKJPgQK3r8C6VG/AK76FmScnJzg6aefxtXVJUToXqONn48LRxpHbgYPPowMSZYkaj1uihfnUaiAVCSbIdmRwyYUNPoJqZgPLMrFkSC+9+DY9V/Dk+iCHvLQS0+Wy++8uI3k7rGr3f/d0QVJMPfnjS/pbij8ecmtJzviAnQf5Obj7giifIfkZescScEbCfcMj5X1sWlOILi4yrjYsUiD0fc2eWdfjV12FBYKcHIl1n+eNb/InmC222svQrLbQTpqE9v1+rPk9xBJS+Dhg+4NlUdrFz8HUrMgEdKTZ4yuSRuyaPvEvbBN4TJUf7bqfFXQ0SJsCm0pcrXxTlYBri6vcXm5pcbG+JlLKdiPo78Pw3pwpL81JCgso//evLeAICPnNaqjxFDrn996cwh/tt5IYRmzAvCpjgdpWUqv3013wMH3EW+sl1F/fFTS5K6vtwBS54q2Vn2W681ZIJbKpjjQTPPz2EFQc+9nNwqIKQxdTQAkwTCs+E7URfcmDgC4t7aPDZPHbq9tYU6PpLTAvKms0DYRWHGtTQ26V/zuIq6ByajThJ/9mZ+GpISzRw996pP6M5eUAafAHSJacf8FEZdCFOxUgIS+Zbif7bSYBND3PJ6Yx0PxqWNS1Op0lwzeJyyTxdjw2N+BQ+ExhRqGgQYKuy3XsMvyebnXJNDHhUf+P022vhEWgQKy8YfHIUSxI6RXiAi++c4Of+qLL+Jnf/1d3P36d5CPb+JmPgPKh6gT9QEPHj7E+fkZGy8RvPCkYp4Fd84mrErGF17a4IVnC2oV3HlQ8d69GXtLKOJAji2UnnAfEaFAlc9Re6xFvwnJOcbLlDmmGtGMxmJH3nU/qyJIubCIc/TSmgE24ezuB/j6o3sY6wSxBtiSQ+OsCAQ0YaBe5qRkfPGzT+Nks8KXv3OGcznF7du3sRtn3HvwCDZX0D2MlE1xRyr1gs8c5WShhB6XUhTyePxMGHDwv1mPx+rTFxaI4UoVovhDx5bIOzHJSI/d/Sj040kfgiitg5TRkMHjGWOoaUKF4VQUP/Cp2/ijf+jz+O9/6lfxxqOKCW4hK8uzZOmlCGecHvf7PZD+uiMWNwXBuphEC7UeKoZmFTA6pwVVJaoy5iqAzljmTQzPA/cRpIM7hQ4uBA3r8P0n3/asari62uJb33wNu92Wtqa+oZWhe4kDjA+B7sez9TzJ4qlPzvpeDslIqaDWCWrAerXCjRs3cHF+zsaj5A7qpBKUVIWD7h4T2eiVTNE8qu/n8HydD9znSuEzpW4kDoE3HmnRaRw2jL/X1ycXtoKXIhnH9wLyyeZ5Rq0VufhiIeMh3GzWsGaY59otp7pfudI+kHUhu6N++G3pHmutCNGkqnpHvyTN+KVzKTCgP6jDuiVGqCLkhQFhoab94FVkfPv8HJIEUxpYvWdffGD0lTYsPqFdrOsHAh7YuhuGCGqry0gICpOE45MjpLFhmhRTU9Triuu3P+SI0TITlSNWYUn0WHAD+kXk2LH15iIBuLq68tHvjKEU3L79FM4vLjDNsxcenqwOhCCxxOGxTtiIFMU2Rh7CwQPxTOcRpUTfDteqZyKaUCAXIpvjNPXP2Lt/HBTf0RAZMBSKpsyTXix/6MIUsKiIC2qOuMKbDInmS0M/gIX7HV7IvZDCgqB5cROc7W6bKRllyGi+MCW56AtpmVRQUBS/FadQuRExiWI9STRItY/4VAPt9ffqdBZu36UAiFaUTHA5JazXxxARTNPkP1f5jCQd8OgdNTL0wi10E/zf0f3mWTAuhZVAAFloR+RQewJwvjubJRb1QbsJdDKK1scpOPxKKUNbRVWeAy5qYWLbjyP248iCOkZOYhBLGLJgnQyboeByO2HWDPXxtj8+R8T8nUB60WvxPHQp5sXjWNeSGJH5o6Nj1HnGNE5e/C+jXm5rJboYC1RKylC0PmWLLaUAGPj9WXPDdCBWAQTxma1XRxAYtrudnwnF9ZY0mFx8XXrjRse+TbcXw7yv01yX+9dZIQK0uEO+zbHxXSffExGF82FCTZmORRBgbg2ih/fVb+BBgwEDzu/fZQPXvEjCQXFiSyEScZ/FOxM6C8LmnyMK9gaNpYCudYg7E5z4HiO9+uk6D282415yCRMowHMuumLJH52Le0BXaI10Lu4QIP2yO2Ig+u3Q6bhhAoLzK1iEoBkr3y6u4AKz+H/JzzcsgKyEDx4oLkfDZ15d49e/PqLYiO2djzHOFWcP70FSxvV2i+urC3AL9oi/8CPP4Etf/wh/7Ptu4M/96AuYpop3P9oh54Q//UNHWK0H/J2ffAffeLd5vOMNoOBTCLwlxhYRdG44p+Ru7xv6jTgkcG2KRlwOzZYs+gdV3zvguc/ohCTIKCLImDFvL5FSwuy5BghefmIznjixEVRkMTx5A/hrf/6P4cVnnsSDv/0zeHtbMKyBs7NzWJ0AIapZjBPE0NawwK5IyQBTp98tTlI+o+13K84pEule6mBG9ga2+u8vSVBnRRYWZGKPR7zuW/4YFYZnOM5QIOXNm1/YMmlnocd7yzu30FwaFGIzmlR87a138dGjM5w1AwbaxWqtyMOAsOMiUm2dmoIAUu0QnIycdxAQwElCCjtP41mVQscc/j6H1FtvRtQ8Ryx3LPr3w4Y9Oxc/9BTqCw8fp/IyR4zjhEe1esPtlBPPba3vMuA5JGvGARj+1GDT8mdbgE/LJJY3A/2zXF1dUcej2vfmkPrYuJ/Af3askqouNhZjrUHOCbVMZoc0GnmsoO/08khmHiuj9vokX5/cJ96sb/hUL1zMPY0jaKovJBKQA5miwzJFd3QWdqY9wSI8yOMAs0DLwqQkGrzcpVvkA/eCQ9znVhWq5MwbuJyH3Ef0pQthOYScIJaZaJvBZMBuxZeU8wBrzvdLRBqaLTaZ0amHC0MczHjwSdylwC9GzjxJIsDJ8TFEZuyna5RhBdOGfYsVND62FEWbJ0AMuaO/Cw1GNSglB/6xHqymKTQDQBFZEpGAgh9H8mCO7h/ywxq/N1Jafi8j5WkYCp588knknHH3/h3s24QBDFxWZ0AELaOPvZMATzxxiqsrNhQx+QAWFAsxUuTfYFNRzTnKzjuXOCN4/ED7WBeuc9AGqCcB3mAOqwz8fWJkH+LQQAPMi4x+FmO05ijl8foIw1BweXnpPGjt6IVqFG9hn+h2kSlBckJOpJmxUaUnfkrLsoeUg24WgWURdcbvm/uzUAxDwauvvgJA8O6772K32/V10MujseVu9E53uTZR0B8+z0hciPPtE6YkArSo2UjrMKrZuKzNOju7f5/DItMO/l2/s5I9OEUT56Mup/84vA6AdqZiGSUnvPTcDXzvp1/Cl7/6Oj44GzGjwESwMkD6hCeas2hKF+Gewvom6c5fTxTHq4u2pnnqPNUe3P1Z9mdk1q3OLHFsy2KO7zyWzAm30vHc9Wal9XfE782lJgkCc54oPD4iGmwRX45EJCwmYzzR4oWZwUTRUJHALaI5D8gr2jHW2nwfBL3ODzmoj32enA5oU4z1i03dYbGvENB5A7ZY2bkanzEjGvSIkRYJdEnOfo29QHLHmINJk8CQjds4o2mPzcNxovvv4Hxu8bMVOWRBubxJbgZJ4X0PwAuXuC7xu19fk6NtQt1QNKdR1C53H0C1g8Y4Y55bL5bVaCXcNISwC1IZiHaWDEjCXA1/559/jP/jf/ApvH3nLbz3YMJ0foZxP6IM5CJXrRjHCdpG/Nj3r/D0rYKP7iX8yL/1HP6bn/wQ7903TPsZ1QxFFH/gM2v8zb/yafy9f/E+vvQtxotWHXgI6kgCBYa9O3PdhwlKZhRdr9eMeb4urVuxmvUizn5Xw5ckA+o8X/GFckoq5PFxwXa/p4OM0zfDvcdPnIMrzh3WinkW/PZXv4s3jwbcf7TF1dxwcXWN3fU5SimoBmhFX8rHbbup2xpyOq9L3Dos2M1g/R1FEbXkegBolY5sKYtbdNLiGR7Hkhw0/R50YzoUd5XvP2Imz530n8l/HyDharWGHRT14R0ONCRpyAAmW+HtreCeNewmweRARtRYzLFLHNaYejjvPAspYyL9khDgqDNEgJLofpWSonodYhGbAQy5IHzfDQQwl0lE/F7SG170s5N64x1OZbFtfAH2tH8vNXHKaJy33MEVgXggWSgq0qxr++L7cf/HUq9FXOfXAWXGOUzTNPa8Sf/5QMil339OanDAvuDvvzk6gqUd4Da56WCyDQDjOPaz0hdTpUW/xb0Khr6j4ff5+uTC1s5R9iK2td4NlZxhQgSCnKIMrQ21o7iLW8vhoeL3MlTl0qF4+dwVcFhkgPGl8SEyxiyLKKLIJ4IQXGs/PPG/K9Fw/jlSXcwPEJM+eV1qDcq9gcjqLjoFEDtcg+w8M49bK3cv6Mmlo71LAqqt4fzsHFX5u5H+zgKsOXczQ7HK/D2cnujFu/TfcxHO8rNYnFQsuIKAjcvF+SVqR/RZMHV0ONFhg+vT47D7ZxfSSCjMoUPOKy+9hCefvIVf/tIZZMdncCSKW8fHmFVx1iZUdUsnAa6urruobUE6lnN0yCONd6zq3EXvlEPcuogwHRXrZ8PRvEAUkzmydjgaRQ/YcZ64vGL2c732z1g7jlKKb7WtS1PULKxUnXOu3I3QrbV7m+9TAQBP3HwCc63YbrdE8hPHcgQSvcDzgqVPdBxiTmUpfg0gEhK8+oMEZMCCVEZwTomIpcXCmbYkmI5YHBTwfg8hvivBg7EhBOwUskoqMOdIam+so0VanDrgj2JJijE2JEqSJCYEQB+hwoNhMsA5rRCBiWA37nDn7scUEpYCDEMHDdAqn5UAKIVNufndlMfjTUexJTjOXkilhHEcnZ9+ILYy9LPWkZf/P2t/9mtblp13Yr8x51p7n3NuE11GZGRkE5lMtmKSslikXFSpF1SCDEElSLYLrnpxC1QBsuEHP/hf8FvBsGHUi1/KsF0lFWSr7yiKYmWKFJlksskgs43I6OPeuM1pd7PmnMMPY4w514mkyUjYh0hGxG32Xms2o/nGN74hgTTa8Jr+Bu4oojLd1smAul3Lgcgb+lhKQRTmzYziY84ZdzQWsjPEAv2KRjpGMEhUNyRABiUGP6kOVFK1YtuSVyDASPho4UB876JHQEOGFg/e7A6JB3Jx/u2c2FlurZBIvYS8pp2EHJxbym4nI2kPhQ68wYxkCXmeDaFstY7nCp+j6hUHvCHYXqrFHZPklEw7p2Wp1ny5mnsRe3xyegoCx7JYkBt3rlZXB2u+3nbnT09POTk55enTc7/rdHuL3+/mQYgS1WahOdUiq/Ldd3b8P/7x9/jf/E++yN//pXf4tW/suLlRqmAa63rk/vbIX/tzL/GFT235Z19+i7/xl77A/+G/+g6Pruw0OnmSgvDa643/03/9Lf7z/+GP8J13v8WjS282lWjSdhvSlM125rnn7nNxfsVu7+BDi+TY9qU6amyiCTZHJfp8FKOmdilpgmZhymStKUk3HJdKuzFp3dO7z1Aq3NzsODszCcbj/uD3LRN0mtbg8U3jn/7bb3OymfnwoFwuB8CTSKmIbCA1GrVXeVo5etCozDnx0ic+wZOLS64OB7cRK9BDhj/H36U7RQ0LJf1u1xWdMexDDDfCfZ1RCE1+uvdDeGNqU0N479y5Q0O4vrqyPofNDE6Hi6qxVZekn2WVjClRCVoKtQraNsa7TgCLxTjgggw+YyVnw409HklZTFEFEw9RVZsumkAo3D3b8Oyz97m8vObq5ug0PO+bCwpldkWsWsDnBMzz3P2TqZ7FtPGJ1t+LvuAhFJKmiEWEUrX78Zg1Yslv63c+QLlBj/Ug3v20yAjibYhgvqVVHz9x7w1EHb51ShM+qZSC9a8kTyw7sOz3WBDzvylZol38M3NGPL5b69abjbsNqHRfKGafQ8Tkj/r5+I2tAmG40EFHcM2Q7qiUwYVfO9EwuAZ4mkOdZ+N0H44H5yrmwfntzjRQ7tQfJIkroLhEZXKHH0FQTol5npiyTahc6gIpUzwytnVvJrnoWdDkzkZzQzI2FKQ52pwiKvASn4yFPz095cUXP8HFxSXn5xc96yMcUqyLKvvDEfXRuoLYwJCyUPHD4YG//fvovB4o9Eh+Yl07TQIGCobRC5pzhSVJ//NJEpvNFhFDYJpTgHqJR1dBIsFRFa6vLtlsrOpRi/MOtfHKi8+xOyxcPnpEVUMkUhZubnYjm5ZAIPzCCd4kot3R2vNF4sMtJ2IX0hCKnLONJNaCOooTxpEoYjUsM3cetJ2ZcYEGmqeUcnSut95GRRSrbMT5bYE3gGRxnpwbCKQHEjklpwUpzz//CfaHHfv93ps2oykuIj2jXWTnS6vvX43jxihzHg4H3nzrLUR9T8SrG7UOProbos12S63NGqsjweA2f3dtPKx/ZSAyTWM4kHjj08zdu8+y3Z5w8fQBS1tW6659X9fBMkLnDjaFVkclbwSoA8XoP24fbD0WNGcePtnx8NETDjXR8imns3BU47sG2p7F0NDSz7DLu7XB453nmWmaOC4LfchZJDLqSYfTHKRzN+X77mA0CzcNRRjt69uqgRd8ZLR7nOVRtQserdNBkO7MhohA0HnsbEoS50Q4ouwhcDg5+x6nK1VrErZhbPie212P5CkC5/V5GIpHHoX2xN6tjOJBqp01IaZrm70KGl0klrHf64Tx1hno1muo64BtQ62G0Nk0aHvGQEF7kNKTfifTpGx+wS/yeD87V+o9QpGoJIGTkxMUtUTOE/9pykzzxPHquNq3sEt+L1f39uhDn2ott4KHISHo1Y2EgwMGHrWWmBJkKkmV3/jGjg/PX+Nv/oXP8Vd+/mW+/fY1Dx8dyVPlc596kc+9fMKvvfaY/+K/eof/5H/wWf7hv3mXDy9sbyenTon61FyE77ynfPXrD/n5L93nH37lko6KCt5fYg+b88R2c8o8Hzgca3/fJLAcl2E7gnJjR8NQ2b6X2kET8yt2Fq3HKzlqKywHZdrMyHxiDfJYQFaW0itmI/FXkMZBKu8tiWQbSaWQmwITi7Ep+hCiosXP0+SJryWRJ5vJbPP+2NdhTV0YlXYPKDEFn/AVgSaLus0mKFTqvSrhO1YVnh7or2xlBHFJODk9o7bG9fW1cf/v3KEsB46HhZQSzz33Ca4ur9jtD253NjSny81SmdqeerWn6oaUZ8R7rzTev+9LxGC3+83i7pdSyHnyOMCS23v3TvmxH/lhvvXt73B9/RBpVt1LkZQwcf/+s5ydnfHB++/RWrXqv4NyYbc2G0PsUYbcboArzgiIHoEWsdGqKpKjHyoAi5XZsPdMKztrtjinQBasp2Debjg9O+Pm5tom2rttLl0oxChDwOiX9MRVRMLEA/YOltAb30qQTrlBQ2TAabBZOhtiTcsbvYa3q6Lx/0XH0K0/6ufjN7aGRndHdOzw97HFiAVO4nm6aLS+uYFvNpkPejOoNmu2pDtyJeR5kgTdQG2hku+GumGQZKWfpi5nFlm1lSGeuXef5XjkeDgyzxuQTDlYli9qAfwsQLZu+9TEx2+bGklTK//5Ve1JxdrARCB8fX3Nshw9qYjNy8ZNVS+LqAXvqslLMP59JLKvGSL9LaZptkFDpaBaRqbIaAwBQ3L7nuD/dGMSSjrqG6cuPlqWMX1RvRyfswU4h+PR1X8s8A091++9+SbvfTCx7A8+PrtxaJXXP3jXOtYxdAq/GEHRiIPfd9ib72w/HcPpCKLeCnJDYkwYAU00/fSkUQWhMk8+proalaoJLM2+K0+GDgA9mAYGYo+jYsXOUaCZglDK6AmIM6mYAW5YQJMZ3D1V5eh35d1336O2YpzHbHSJhNJLjNkQ1bM7J9y/f4/z8wtu9kcPlEyTPaVBRYrSnaoyJZd5a1baTI5UGJLgjboMFCkSwnBEYTz6Px0BSXmyKpo7+CQzSTKfevkV7t2/z2sXDymqXoEYCWX8BJpsQz2MBqStdIlE8c0zu2H7Y6j4CPbsGS0hq61y3TIweaO5Uvc7n8mA3yk7M+XYTBbUkyo7WoY4JZmZ55l5u6HUQqvGawdvnvdEMhzDGEZkn20gAz7wJYy/ozHNg5tkaw2ucpCNJhLvrX0vLMmOStLBB9OQBvd9XflUtema7u/se4J07wG2ycXlyORtDUQRR+H6y9G8YpmY5sn7ZELtIYJSOzfqjXSWbDXOTs8A2B0OFgSqUivgZ8smnHtStaKP1Fr7jIfbVVhG067YfR5ybsn5sWKNdKt90ECDO1BkgV5M5Y6f0Gg3FHJUXuLPWELgFdGIWJtNA72+vjTFlRaKL8M22PmaOuCQvJITZfKwA8YpHnKNm9noQb4S/v8dKNKGpEaTmTfeh//jf/09Pvlc4gufvcNLz92lNuVXfucR//d/euThZWGric++vOXv/MIVrU1EB/+UJuMsLwfvzcj81nfO+Rt//tP8oy9fui8optG/SrwP+wPvvvNe9yMDQJgIUM3ifdcYb5gMX5h5jR4cenAcogJNs0MxtYNTtQpXV9edmnA8Hk1+0AOyUAKysyCkrByZKFWZ5UjCJJ0N5RaifJ1yJIhu80RpKhxK4e333jMJ+Tw7sGDURntfs8+GSFeyeMClIXWdKGWhLk5+nbJXCyzpbW5qY/8DOApu9loDXnLQNhtPz89HEqrKfr+nloVWG5vNxptBR7UTV9pDKk0OtFRRMiKFnB28kKkPlexDEnUt85v6GsX69ucGUKGqcHGx4/e/8R0uLy99/9zwCIR06jRNvPTSS5w/fcx+vwf30RE5pQjUvSk4mqoVJU+uLe+mNtbRZGpHf0UHPiYDOwQLcsd6ywghMXZFc1p3AANlWbi6vnL7ER5fhx9OkQDAyfaUZSnGVEg2lyf6t9QHcaF0AM5sh1sItzHN45NSOie1V1fWiX1/ajV/bXHj8Gkf5+cHamyNzMkCxXVDgAXwJt83qAyhZ1prZCLOs/SHLGUxjrB38xuvydCULEKpRzssnvkI3uUffFGRwY+OhWh2mS/OLyi1Upuy2WYP9iK6tXHgd09OmE43PL3ZMTWfRMfi1NxEmmY2E6RUONTWddkBR6oMgXn8+PH4dT+UqyNFyPYZf9W4p3UptMUG8zQ/hHnycg5qsnvz1Eu58X5RU4/hDB/d5ghGYpqpGTixiMfVb0wfOJCKaLQsqGYPnsUTJ0ezEa52e/LBrMAkDc1KnTKPtHJydsqyN15lacXsacMH0IRj9sBd01gZd4jVJ56BOleczgGORjyLKpplv2rGGvWmLG1skvCZV15GBL731tvcHCvCjHiw23TQm2ItYyCZqvRkJ2gErUU/QwTCEKg4aWTpxNOpDXhKyST9RBK7/X40G+oqCPDgRRFE4fkXXuBP/smf4zvf+Q6/+9rvU44rdECUPE2GZtVBz4hgZJ7GFY53jGl2kkLr2JGMNnThA3UyxESAbHS1JtCELNkSYldFePutNxBJHA97rFpkd9b4itLRt54c+pbZWcsuUaqOcmUonsxFIuaJUwSv1phoCB6ydYWFI6oLNDOe85S5c/8ux2Xh+vrGEabVcBj/mecZJLE/Hth71S/K35GsJT9viiEs1pDodJvscy6cux8oW15xFlUVqtNWRDqSX9dID7eD09bpLnaWEtL3Ne6hpAQpuQM0ZNqSPG/wzqOUq4yGRDvzdTRAJ5vp0WpzRSR/7nAYHnGtqwcWGxlYM+WJk82G2ir7I141MHu13Z7aOyxLr+7N02SoYBmTdnsjWqy7f89m3lBLuTXMrboRCF82JPO4VUURewmaSu/lCMWfvi+q3bneppXZnd7tYxrtCGRCFSU+Y8jcEj2GnZu7fpfsKmASAS54kmNDYYJeY1KXtk+ihbYUmLcsabZzUJW3HjTefnxE5bH7RUOITTHDgKLdvkCasYFZmbt376KSOH+yWLUS2F3BycaSaZMznDz5tUSzevUoOU3J5gn4urZKTObOKRr2GImhxwFGCYw8cMhwKgkbKQ8pVaCSxXxtK2M+SatD03uz2VD6ebA1XxZ71i1Cao0pzRR1SUURhIM3LYsXC8QXTKyh3m1mUazXR3HddjrFxJ4xJHKXvsfTNDFNM602m2eAui2uq3PtNiyNe+GOoQeHGgBBxBEi/b6EXzoej14hUZZF+fDhh07/0J5UCBVRK4cfmUE2JGlmH8QrgmugFY+LfF/XFEajudi5r7X6lHBLUq9uGofDU79L2VkEdLEIUuPJ4w+5vrlid3NFjtjQpV/FlY20jMnGMZTL7CyEAh86YivVIb7QkznBB1bafa4+PC7sKRoVWEsCIunEk1BV0KV4xTzofi7B3FrvW8k5c3p6RmvXftLVgTE/zzoS7yknthtje1Sx6pf1u2XaYhWmmGfRF1xv+7leQdBmoGbw7Dvo8kf//ABBvCMr8SzudFuk4uqBryRLattAq5EhVNc5yd7ENhqZvOTqv67Oa/OKpTsFoTSbolcc9TZpHglQBkmmH72UQP+Ew6F0vmtPPrwpFsk0hKNWE6WZJmgmU1alUotRDWpZaDKF9zKEgkaaZgTccHtwH5G1YmN4q1oTnKdrt2g2jngkL4MWP5zLUoxTjvlXO2TOwlXtg1fCsUSo28yr2bQ335ucJnCEvLkedRxeoKPEcdWS8zbdQ9rnqaItkbSRpZE3M2kzc3k4sMeQ76SOjnnA1g2PnxURk2LK8e+hA57wEch+HiTOmPTvD7Qe1zBOmgMHtYm+tVKrst3OqApTMi3s0Es3eXOrRmigk9ATDHUkJpLjqLgETBCO3x7BzkCOgNGOmZXLoqEh2R5JY8Vts72qtTqSan9vadDINJkcSR6JQQSZdsAdXclDpjLUR3pFK4IkwmnZv2cma7hUxaaVSOffVyqJqUfeMXobP9cqSrkp7syrJ8POG2Uk9q2FxGAYoEgafOBLGMLmSX62sfOBxoW6Raxp6x/jkoKhr+3KEQJMKbFI9HgorS6EwoGkRPL+Bcv9tQe/a7tmazwSMkS6fYsAUCK5xbje0+wcb0+Mcg7VqkYt8T0DYMD3Q/3em/JSHeoFUaoXwWiL0qfWqjfq2cQLm0YK1jexOx47JcmUFIzKlROuahNOO4ZO2VuWupB0KCvNzhe18nTuiYp4PRUql1eXrh7mBkeEJIZStjrOXU54EDQCbfW7Ju4oQ+rRDNa6Ic4TO6esEIpQzacTe4XD80Zi3L1Hj52qsEb0IfpYnJu/KmV35NcjbhX1cfejp8HsqToiO1GWgqgluNkb1E16z4MOBk+2o90p9cDKkiw8ITEVIM3JJmc6pYGlQTkacFXoFYucEmnaUuqe3aHywrOnXH0oUI06eb0zqdFWbY6DSOPlF084Pz94XGvnS7UwucpKaz4UChyEc9PkNtD8qp2HmHSe5kQJxSMmxOWEk0jEruN9UyjPeG2+VWxGjD+LB5BxH2PNI08wCAxEF8ugSqVNkwtIWKCYJZFT2I2Gkjxh9WAeU7CvrQCGwMdZwO+EUUk8rnH569Yqx+NCKZVlKfSGzVZptZCniTwZSFg1UNfhs5ChShLnss8qWdkGcHS7NU62J+QsHA/HoddvpwlJllxqnSwJ8QFM2oynXlP1tUy2vuK9C+FrFZ8Nkft7t7byNcneJZqb90sxxTUPOhuDXmTBcmF3c2muLWIO58unhPdd2J9PpFGtdP3uIBsZLcvjRxl3eNxBpwRHo3zEnOKy2JE0qtie9wA4Kjp2Hy1AdoZHABlm9GnNQIeb3Y1PUtcVB3/FgFAlZHa3J2cs9YrjcaFhNG7nDni857GtVztqKJol6fFcV9/zAC5Jpkm75Tv+sJ+Pr07jJ0CrHzY1/lKXGFUPULELRZYxtdMdVzSLmL01xywoU546whKHqWo1fpQIJKGolYslT5zeucvN7pplOdgzUVfZdGy42rAesWYJU4swR5bmTE3CVVX0+uDNpj6YRQOhNDSlNDv0xn+N4DaxOTmDJBwOO8pisnTRExClLMsx/H1b82d0h5tW2Ze6ncEVThAP4M1RKDok7uL9xBKEQOHCATWq/VlHAARBspUOlRDZV2wrDEFozRA9LQuq1Z1/68hW8pJSq83KiSnRlgb1CK1SaiNHUOb7HPJM4Qysum4c8CTBH4whCYK6UkIggqHHXWuz4RXJkKOcLdmJ8mBtEP3xb7z7wFRhqk0HVnAdYtA6gStBNB+kUVshy2Tmxctp6oXAjrx5Jr4u9YsISe17oyJSW7VEs1c/7O9uNzPPPPss508vfOqjfU+S5sECPHz0hF/4pV9md7PrSRw6SpKtmuYszltXD1pNOWhjCUyxqLbLY6bRT2Iaw42ZGaRRpaA0oxs0M6/he4yCEX0d2iUlTV/ZqzORnN8ylHY/7A7ZuZvy5Ik7XlUqjrglS4K7nq9PHtVqyj5OQ6lqPGFSHQ1zfsclCbLZcH595FgKOc3kZGsmeSLNMylnlkMoZ4kjYt6U6DYpAjhrOhREskmEOS0obBRq+lrmyAYKJ1lALTjM2RU5srA/WAVNIkqOBfYgOFDnMK722XUkbOEs1QIG9ZRVsg3KqrWw2Z6wOzi/35NCa1wVpgk2my2XVwtNffqzmuyZJLpyWM4ToczROsAgLpdbOZsSz9855eq45/JQzGUEd1gBCoedqV4IQzfbpOngmfvPcHNzw3FZ+lkwiUhxByzs93tLUpJQ20JMmnWjAWHbm6LFaDt2VyO4zP7vxmXXroQFkkLCNgL34WN6Fs04V1GFicbKUB3pyaf/c5rg7tmWlz/5Ig8fPOTp0ytL+MR1/FNinmfjx3ZkIKrBEShagJFdfaY2hbqgeNM2zRrgncZQSyEf7R4cW+Z3vnXJv//Hn+Htf3Fudy8Lx7awmTJ5A7UcmYA/+zMv8uXfekhFmVSY5sT9e3dptXJ5vfczP7sfsOB8nmdLbF35KexJVIvAm3RFmLYTCeshqhFwevJmFCeTJlRcNU4ht0r2qdOW0Fk1trZC2S8MYJAeQDXnestk8YXNkGsdsJq9PKuRgKqa/bAZTw6WOYXKASNSMhpPzmy2Rind7W48obHPqjEZWrwiU5s3N6/7ZcwO0BsrPYZpzSqPDvJoHcFpcyqkRrxAZZpnTrYbwHoRAoibpomckiH3qj7fIZLsHoQRjfvWN5CY88RmM7Mc95SykJOwmSfUk+JouBSxwJN+N+hnnYTbtsah1M5bT1h1r5bQ+ndZTg+YixpwqdGL2D01XbUlmBk2M8OrhMCii1Nc7C1LbWRxSk2vXFj8Yr46Yj8DuczcVkpZmDrtCaZ5wxL0bIKOau+/FOv1QRcU7RU/WFVU7dDb8UwTlzcHloJXjGMPtK9fR0ncNyseS1iwbOG+0yg1JoHH760kuf+wnx+gsdXL5h318aJMomcVkTVWdfRG/CF7M5W9WLPVsJJzbKuqZSB4A5H6wYmsTJtHvo2bm51xm93o2vGXnvGK3XzP4ownmxzRtDjR0NkllA88UG7gHfbrxU+kPJkrEeO5pzzzQz/8I9y9e4/f+Z2vce1omKwC0JxMXzyqDK2qH2p8kIlnqbW6cacbd2NOW6DadbwlSskWTFkUMiHY2PJp2kCucLwB34PsidWyLDhdmmgq6SfLD2mp1XjOnkz1UhOGJG82Gy87ezAUl9sz4+284VOvvMLN9TWPHj3Gk1vPrFfZrxodxPoHfURC88RPw3BbEhE8tzQZsr4crtEWSK/99MuGDJqQGNreL7WlAyCtSzsawjTRanKDrCjF19flvNTQBBs4Fs81yueh5IMoWrUnqUEXUK+ezPPG9q5Z0BTnIxCE3e7AbnfwALj2JDl5MmegkC+aOHqHsJlmTs/uGB/3uPTkMd4nOaoChROp3NnO7A7KTcXWAqCZXGMTQ9zttOow6k6nkBxIgvQ/Ezuw8iGOWKd+D6oGxcYCXxj0llIqm+1MEtjvdi6Dqv1/IQc5StvGR0/ZA+HqDjwCI01UP+itgpTaE9mOjPu5T17yXnMTFbzRdCTbtuvjx/5eDAlxJSyU4/EICCebbU/ms0fW1QfEhLMdCjm4u7MG+y675ncvqliKVSCzJLTAcTnYdxz2VJ1Abfx3b8BqSlkWtBXvHbGg3BzEatR7Uw8YlePBPn92u6QibCXxynzCX/zjP8trb7zOr7/5Brs5oUW7Ape4jQ8+p4jcokFEwbOpdoWaqtUGAbUwsyMYym5zTOls8mDIQBCBToET1Ae+JaaUnJvqSHCKuQnq1Bc1xaloFhaczrSm1rit8HWPBvXoKahVXUXM/ENrBlpst1s2m9mrEdKdtGLoYo2Skds5N4u0tubFim9bAUyi1HKTiZQyS60W1FA4LJbkZDb8wq894n//P/0ir79xxW996wqpM1ShtTvkNjGJ8pd/7h55O/Fr39hR64QInM4bXnj+BQ6HA1fXdm7tmjo9YZr7MyUZutY1+i7yurHbKl61FD8FkXaZf58cwY870BMo74tB11UT6VWzJLkHQ4CDTU67Tcq83RqlcX+0wEtwFS6/x4yEUf3vmzNzr+HobHCQN5sZUENhw95kR9hLIYupy1jQZdOQN5vZ5uTE1NnmFXcJdZTB6Y6fNRAUPyLRs2L+erfbjfkjYijuZru1quOyeCzloJeqVw3C9gZ9Y/iLiG9SSpydnXLn5JSnTy+orXTb1rxK1yVj3SIORRUDkCKOIoUGvt8hp8mICzzUZhV3PHE2mo/eeqdIFYh70LBkzxM263uy6rl4laKV0Q8ZdMZeWTWX7QCN7XfOme1my+LzakJ3v6pRp6JSBwY6pWQTm5saG6N/fjy3r1VOVnVfigX8SNgJU8eKxN+22d894Um5vaf1jxnVMarofeVXNumP+vkBgnjPQpFeChUvnbUq2PANl7NrOgKjzrkcTQZ2YDzrY6A/pkka5SpHdZo7AoksEVpd/GyG6kigKYZqRzYpvvgqjZYSWYSpKdIKksRHzltw3mMHz0olG7UmZ8vUa43g0L7tuNtTT076Ze0NJKUYGuSuzQJY4z8adSYObf2IkaI/e8PQ7kAvUB9okLKXbw0hSqn6um0MUavKtiVIDdlsYF9owAH1MzLKx8HjGwbUHF5HT3pCZBN6q0vjpZQ43Z5wCH6nI70pJe7ducPSBxEFRcrjiubDZYBNEiZJ7I6FJmbEmtoBryvH0Kjc3cDP//SWP/mTL3D3NHNYDrzx7p5/8+sP+d6DeC/PRfzS2uRgPC0zNQuRAskujXWmb1CUeQNnJ5k7Z6c8evqU/WKlWONLegmQaL42A7aZZyQnbnY7S8pSRqZIblpv4gRhtzvw3rvvWYOLiOma298alQrRPtHUtOFdrSiJKSSJ0z006AFqzaeycMMNS1k6YiFdNcEbcpNwJylf/Owpf+zHP8PXfuddvvNuZd+8bDkJuHKEGcyRsJiDNUpbzjaACvU1D3QzjJsb60Dha2sspdxCM2zystHTkgjPPHOP3e4GEObNBmSh1uJTW3H7YiXSGIZiq2oBXzkuBO1LVJkznG43HGvjcDyg3kAdd7Trlos9w/g8vHFJOvVK+q+PUriqYUnroWitV7SMJ7urR6OeEfZtOIKeQKdwTuLO0QM5XduDCPji3pjNUDcWEvraQG9yJZxjZZ4tsCy1ebXF7kgWo43F8KmYhm0mOLSk6dW4i/0NX//e67z/5LE1jB8XZNULINkCkJwyzz73HIfDgfMnTxExpO/x4yfWSJtTtwsBrkRwpX2dzN5EJSkGiKkHQh4+WHKC9Oql2S0P7H066Ei0bRXjnMb3rznzYQ/7O6lJVEoLu3aPZSlc3+xvUTwvLq/59ne/R1kWkNzVhcx/QfGplhHcfpQHa+8rlLJ0AKgFfcXtYkpe9WuFaU5MKlQPBJ5cZ/6vf/8N/ud/4/P88Oce8m9+8wmPzhNnd7e8/OJ9/tRPwOc+dcp/8d98j53O5MlQwsPhyDvvP6AsB1fA8HuiRpGQGKbm50NDPlkS6vSMqo0p2fotLhiBP3dk87a/0WA4Bh85M4jqdNExq4MRKEr/MK8Iz6SWu508LjGjpkIyGoZ9T6aW1md9RKXPPip1+xkJZUyfT9kC5FpLD9LEY5Tkdy714Nz+t559sqbM+AoQswHwPiQaCLkHeHVls4PCUxsuVYmjxfaZx+OBBa+ar3oxIgAeFFl8lkWIIhy5uTlYBTsLh+PRqLp1vT7ioGnq6mdh043ma+cgJ/EkOxS/miVv7sf6sK64fyn1Zwu6YnJBiMnPSdLm8YN4w2/2pKN6UhY9XLYO2W1vVAbAextwcMfPslXKhZOTU55//jkePngIToey2tZITnvALEH/CWUmqxRZcmufG6IfrTWW5UinY0rrezWSoHEmYqhpgBsJjwnDBzl3bO1rPu6P6Mf801/44uftXzqgOgylZaGDJkFkONaF6hlGbPAoJ8EIvEWsZFR9aleU7Kz5yye8drTEtIi7wgXeDNaDHIhSkALVb92sVsa7f7bl5PSER+fnHL3Eod1tR/DASDzcQdJwVDQzbbZMm4nj8UA57k11BBsZP283WFOHBdmSZ5YlaBLq1I06LuJ6Q8QCPKMRGX+QZqGnCiRp5NaYKBQaWTZo2tI0QzuynZUXn7nPJ555ju++/TZXS2FB+77FwbWD4822fkGJJIPYXy/DO5qUkqlz3L1zh91uZ4G8X9hA60tdjB/WRr9DSMSBssmJF+7e4+72hHcffsBuWdA00VSYkinARBD36ZfgP/ubr/LWw2t+5WtP+OBJ5e4Z/NQX7vHzP/MC/+Ir7/Gvf+OaY7XAt7rTtyDSHKjRowTEuJAWXE3MeULkyCc/eYef+skf5ouf/zH+1S9+hW+9/jaH4lbaKQJBc0piDU6bE0OBdvu9rV2ca68KrXW+1805Cp06Fmhd8KRDWzqJ+pwEK5R6su4XXDsKbaC2T/n14yk981cCbZoSvHJv5j/+6z/Df/S3/gz/5//y7/OP/9XrXJaGsqA6A7NNbyQqFECXOYwBQHanUjY015CTSEhj6qN5qtoUuuMcBjI6/CM53MyWDEpfh9b58evASpWhY1yjEdsRLRIpw0Tj7nbi06+8zO6w8M6DBxyrKWQl74WoZWE0R2oP6O3ejZKs0deSfz7d2UUQP5R2DPqxhGYkvfG+ATqEylNQYgi6SAvaxAqhDDskpi6TWUBM/Sn6YkxJK3qHVvbDh2klaXzmlU8xbybefPNtlup8Ug3FsHiWwUMd0rLNgw2zPxOFLNaT0zTT1Cg9Cj3gbKpsNhvu3LnDfr83qUZ3FoZQR4I47IsFIAnV5OfNkhkRrKk/T2ZfnEffImEchtL6myL4VkaPULdfK3u+dtYrW2u/Fqokvv8+7wRH5E9OTxAR40Y3n86I0c3oQbcp/diqRsJhgUKARWELorGu1moUUU9WQ2msP7etsp+p6kl0Yomm8AwpFT75TOFv/NmX+WOfv8+uzcybEw4V/vWvfo9f/tpTLg9RGbLE0TWZ0FpQL5VIctqp+8JRm7akpVVrUFdc4tmD885fzzLWE9uLrioSd0nkVpVbYh/dVxsNLJI2B/j8XmaZO9XAHtn6OtQDPateOp+4RYlHXGzAA60kNpPBAY7mSiVB2Y2zUVvlZHtiNMjzc44Ha4a3yox4RTWPuRge/K2rOeP8RZwyksU1RSOU5CRlS6LcBqKtN8cbHuARivfThCrZeo3XjeOE3YnPl9Xk4dpGEOkJF6LWp6M4am3fG74tkpjoHWktqrYDNb7V09Rtngf3KCcnG6Z54uZ6R/WsLWq7hrZPBMaVMmxPNhZfFWU90C3kXWWVjI+AfKUg2BY2mw3b7Yabm2s/U7lnYWsfEz0zljx1zka3JUHfBTyJdz/GiIdjnaO6lnPq9rERYMmozGRnr0T8hH5/8P7666/zR/18fInJ7jSxFFE/YigtP1tl4H5ZB/Do6JfcOtCxSLK69K1zNLUf4J6VNzvkUS4jvn11iFqLyYtY2acHD5BF2G63nJ6eMF9fUUpklfRnwDfSyi8R2BilI2cxtHBRlhJlucFf325nXv38q0jKvPnmm+z3B0QT0qd2DscSP3EJejavzYbWBMLmr2885cYG5aRBSjNHMnttNF1IU2VJhSKnFK02nh5/vnB2DiWoYgiL2AULxY5bHdOehJmRMF5ZqYXLy8uxV14qW4qNiLdhPQPx7+8UAV1Tdjc3tOVozcmRQEli3m65d/ce54/Oee7env/8f/Qq/+zLH/CV37lhafYZ8jTxrXfP+e9++5z/7X/6Q1R9j1/86jXqzTO3S5fDYYB13IsmqnPmt1vhT//pn+Ov/pU/y/VF4Wtf+zrpjbc9GA7FgUygqRJn5+yMw/HI3o178G0j4BPoRj7OpTVgjSalHlSME9wb5M5OTqm1sT8WawpSM4SBIsUdjPH0cbb7XUJxHgog3Bwq3/j2B/yzf/FV3nznqSWuKmg1juY8L6Rk3zVPkwdswJSZppl79+5xeXnFshw7yhnvwUdQs7Zq5hoOPPZklBdrrezqNcEvbLXdcgLrwGt8H9/3+2jr6PKuKte7wjyfsNkYzUiLKT0YMjUcwWaa7H63UDrBnzcCkYFQjZtqJXXtSIYb8X6RRwAO8blOOemJbAAGnhSlVaKMN7D39xSazLZ+KZldkERR0wS3hl+3uWKBbsPe5er6GtnBUgvNm7aDs2vfDGN0OX0qqeMONoxOEtXX2ZIX46lr/N/KZtVab9mFYUPasOGrH4ngMdawl69MDq6VGn+QcUvoZ6oPqvJjaHd/PFOnDH3Et3zU7sYe4+tm25y88GaKL4pwOLjik3izMd5M7kGDGLw2KEJu8mIAkN76PvUE7zb6b8hnDPPTrsVux8bUQayRsVJLYWqV09Q4qXe4fPwyv/zOOV/59ne55ISbm0I5FIpAE7XmU01IsopOInuTYUOTUTwlifU8CbfvuQe5eBDeNDqHYh2xRFYCHEqeYEnvEeqUhPVe4oPpAKR5Q734bGPnz3sUqxQHEbxhPXo8arJn6VxwusIHGowA+zwDYgTxBNEasQdauj4vtVYO+71Pal1VAv21O/d8/UY67H+8bm+qlHG+1ncm/rLqsI1ExSKSASKwtLPa/chHnru5Xce55pFgWdBvYKa6z5CVnbOzKrROv/OHd9pKcpWoGBoYsxhkdUY8Lvb/+bp4hUUMwrY1bOZTibsKqDemdzqWJJeFnhztHg34qPZeik41Zm1fQsXH1n1Zlt5npjrO8dperBOr2LiYkxFrHQ23616zvpf9GdZ7baCb2GExPxmJnscE8zxB8b33Xov1567v2B/28/HVaaKDVWyRYwOxXyJnSGoqJRqB/Gpx41UjIwS5RTtATGbKFtW0WY9lsdJ+zq5UQi87lLr0wLQbZzc+tY2g3B8Z9yQ0bTx68pinlzb8yaa4uoNkaOdmb5JZD3Zq+GjhpEgKmpBjW62R1Lh19+7eYcozH2w23NzcoBq87ECJ7K1DpsvSnxVigOnQVjyA94Y8q1Q1tqp8+uyUz73wDG8/veTdm8qVNz9t84abUvnmw/dZFmuItEEEK/7YKoAUR7AisBxqDcPYBMrQTCLCnPlq3QdpQG5xV8H2Q/v9UEprXB2P7FJCU0KynRea8fKPpaBS+I/+4if5d7/zmF/87SsEM9w+KBGVmSfXyv/tnz7gf/HXP8tv/t7v8eQ6aCcje7bzIp0Xa1tqiVfyIOmddx7xb3751/ned97m9de/5zy1leoM6kmrrcHN7obDYkhFqHEM7y/93Nn+js+J7nt7NgumPjqZ07rVlaUUTx7jY0PhpbkxzN3oRRjZVkNXxL2IhZuJy4PyK7/9Dl/7/Xe43C8sbSbmFSRtZK2ghc18xrPPvcD55RU33v+Qtxte+swrHN56i+PFYt+nwc/wJi63jbX4FMP+/uPdHIPu48RDWk1SGDE7jOuAff3P9XCMsCPErawVyROLzjzhLn/ij/8s2weP+MZrv8ty84SkziMNpFG1O8UxdTPKwYMrbX/ay8LBZ/aoPYJ7dZtgijlurJ0e1u+ZKNLv1x88SjsCT9VwGniCApJn0xbP1pwtqTjvtZAEUp56309T6xO4uLwCsb4BklEN6OeCTk+xhnWb3NzbF8Qc/ZaMHg04ySnTcqI6L3hknwONi/cY5zA0xmvfRxGnqqzseUjnxd9vHRwYSNbanXWACC9Tt6BgjOBobcsCbYznXAMVEVz1v9sq6skamozvfDh2rjbOHWaVkDX1pC1unN/7TlXMifWPgUye4Eo012kP5PF3joTTenQs0RGBJk4bLIVcCi/du8uf+dJP8/6Dd/iXX/8uDxc4KTNzA82gzVTVPJVYxdKWWGbneJclKE6Bwq8qS0RgKU4xbV0WMj6uhzPuKyLwjR6PLC45uEoAEWHKho7XsniV4bZOtg2jM6EJa2R2pN59V3Z/dSvplxEkprjrquz3u07ziG9Q1TEEDAt1Sq1cXFyMs6bD31kSIb0nIBSpIlGwxG4FDnZeuX1DyDoG+itY4NyRa3Og4++4X1vPIllXekOrXvDZNL4jgtNAoPee2Z5mUxYSXA7ZAumg08a9iKQtAn3jAUYiPd5pgBSRuAV91vff5YJ3Nzuzf90v2rOklMhT8sZSs5NlKVyVI6o2hKo4IBU+UhhKVKzsePhYo0gHEASSsoFEOZlyYbcf6vN6RjIUs3PC74vfmrE2oVTjHtg57WbDhZPtCUkS+8POq/PGSgnmiAG1BlwlES+0+730hGrt6/6onx+AE58JxMN+wTe2mZ72nc0WauVQC300hx94Mxq3S0PhB2KJklhZPJoOm0Y+7oYeXP+3WtnJm2CCZ2/Bu7NZxQ52SPigoNXGP+MHbSmVkFOyEt2Kv2Wn2pyV+Eb7Qnsc2Jsasze71l7+mri4uOby8sKGH2AXQUx30YI1X4N1DhPDDSyRsECveS9A6B43lM2UOEP44z/8Gf7Kz7zKa995g3/ym2/xxrVQZMtGtkirHMveL1g3VZjEXjgw7YmZcZTHMY1/Ji/xhEKN50HGVQ3OfhjDfqlHENlWztPKq35RUsZVVD3jNLRoWQ5cXDbubo/86Ofu8Hf/5dvmhVBOzzbcv3uPm/2Og4/tfvtD5a33r/iJH77Dr/yOKxXp+J8tt2IqK6aKghSmOXN6cofj4civ/bvf47e/9g1aXTgcCyoT82ZjijCt0DN7D3gmL2Uuy0I0Z9tZiQTC1mNZQuowe2Iw0JJYyyQW/KliyQnqMpXakcBoCm/qxh3GNMw451lAo4pCl3mLEnJLifPdkeubSiFxbCaXKsmqNEWMZ5tVffKkst1sKa2xHPa89cYb7Pd7o9ustNWRxJ07dzkcDxYITh501daNMf0W25yIQD/wMzGarnJHVXtyq16CDIPbRsM1RMBnSgc0oU2nnL3wCv/pf/a3ee23X+P9Dx7yaH8JraJqA6xsKJZYQ1KYsuY2IAwUI5iys20695Z4hPOx55zy5KpDdt4sfBmJck/wU+rPbbKnXr1bVb9SSiSpJgVJZpvh08+ecOdk4r3HF1wdK8eaaExGhZMtVU2OEpJLdprqV3EKS0qTIbiSTMpJglfqCXYzO6DFqnVTTma/fSAW2SR4Uw+GzWCJ0hWzYo/VDYA6MNGTuJ7YhayeBSySEimHAzbbERXBcGRxpnP24WY1mv2lRxzrxGGoSvlWemKjvifrCvD4sQsYYEr1iulmM6HePA3Ry2VFkZ5wuiSiocgO83hlRRmcaVuaoUVdvSdKkttIR+rGWpqDTI5mZ/dh6trvpiqSODbhnUeP+G//xS9ytbtiX4RZEkUK1QGSpIpIQb1vLfS7xe32nbt3OT095eGDRxaUCNb5JxDTvsf9iGC53kp+Oi0DBkVFRmDdau2Um/EZ9g5f/OEf4blnn+G3vvab7G+uboFHwU/WoC81axy0r0skrCE7JdOoswTBqUuY3OlmszFhhGXhsJRb9meAPrgvDPsjnR4Z/RSNkZDWAAIEV86KJM6HRbZIwuhnK85ta9bYnadEPZoKUSIxTW7rS+2+NvrDFBOriLkNt06v9ttMeO+UvIeXSHgEfFYNORt9x81da7XTGAP97Tx9vypJTNyjFPMPUTWN8x3AgKrLoPZ76H7YYAxa814GQrRAyXPmzt0zrq5uOB4NCGpVEWnM8+z9fg76yKBUhr1WHQlSxAApDAqRuEecE39MPFH9g+2HJTVBebZ+yqAmRWIQgIyuMA2TqazMk3CyPWW3szhsPR8i7s26SjlslsWI0Sj9cX5+ADrNQNZaBLgefUx54u7dO0gt1IsLllIdrXWUm3i+bFm20yiQydGPwcUVsQaFZTl6hmJIqgU+Y/GSyyZWDeTDS334788z83amHhdXqXD6x+wanJOQmY1bnBqa1Es9A1Ewp6zhyX0zPDhpfoldzijedXeoPHz0lKvrazf+M860IkrGItqzVTNGK+PWAr2DKngTpifmHpQlrTx37y6vfvZ5dvsrzn7/Xdq+UXJid1zIhwNZGvMkLHU0odw+7Cuqi9pUU0VZagO1snEnQei64x2/+OaE10H6eviUDbbyPE8bm5MTNNm+agQuGmIBdvHzNLHUwr07ys2+cLGztZo3G37oi1/g537uZ/m9r/8ev/s7X+d4PHJ9s+P330h84dNn/Orv7t2ox/e3nhB6SEGNIV4JDse90UYq9s4ItWU2J6fkPHE87JGuZhGBtBo9oTfapTFspyN9w1nHYuU0IwnX5nbnJlHGt70wOkQlNUdxIqjomXmsvUTMMZCDlQEw8GOU7VAlzxNUZTmY3CASBqyY4JNsUMkcS6VdXpLyxIsvvsThsOfq6go9HkjlaOvhSaYkk6W7e/8Z5PqSm6tLd36tr79dC0dH3CG36vzCHtCZ5BkuoSceILqfRrHJmoawWtPwLd6wmH56U9By5Ob8If/w7/4dHrz/gMunj5mnDVpM09nO7zCovQzN2iG44R+3pFNuCHREhIwhi9t5A2oVJkmmImPIj81UCIPfWvDCIwANZzHKs6G4FXZgmoVXnr/H517+BG35DjcPnpBlQw+YfVYFniTcf+ZZdrtrDvu9nSUFXOXDGq+s50LFKnPqjsK4m8rzzz5LLZVHl0+Q7Ps8TbTkso2tOhiXCMToltqGrhpGibBiOCLpyF7roAm1kqdM9l6YgU56dc8T8dYqJIcKVQOo9P1IfY3XKGUE8PETcEZ/lp7sD7qNJdeWiGr0prjCkZUUo7TfQCZDmxFyMl44oZUvmZaGww9nHRQOU7KwhGSaN50LHfQe0/x3eVctJBWEhjQfbpMAnVgSPCrKl998h1JhKTOSZzT5OgcymyqSapfIU4SoKhwOB0prFB8ml1j5I1+fSM6HbRl3MM5r/KcG1SRAKBkqLRbkRoXGzsGP/cSP8/lXP893vv0tjvubHgvE0WkKKc+oVpM+9efJ0rhzNnN2suHy6prdYgMZpzz5d0ZFHkzBxk7lmkbRA+LVe0YSqsQBHLScWotTMuj3hxUgl1Pi7OyM4/FoPVPI6rxYcFzq0kHKkDBNoty/f5eyGF1V3cauudkREPeYxBYbetCKI8iQRZmyU+KazTmo4gBDk/EOvfwWoI8teI+BPHltjAqwTdANWo71WxxXkrnR/B2fm1Jl3iTunt1ntztwvT8a2JBcMUobpRTrq0KGDVR8Xo7ZzGmKCl4kCNITusEsiAwv2AdKU2to7WqAsa/uC8X7Hkc1Mb5/bU9sfUMRcZpmTs/OrF+iLLE7oMrheKQshZOTk2F3JNgdDW3Fga7J/Bbeb+CzCeLvDKbKH/7z8XXi3eG4FcVV5BDwQTvGU6/OR4qmDDOuEc6oOzlfrGbUjBgsIyJstyfUtnBcjtCHGzVijkLv9vfmI0OtmhmuhjVtiLDZbDg9PWVXrzkeq5W8Pf6pvkK9yQgZKjrQjYQFH0EdCE71aGBEnTPfFGGikbg5NK73F4ZESuS1gdootQpJGwmbMih+MZtWl0wbxrH5d/eSvlRqbSyqfOO7b/MP6hWvPXzE61eFGyZUKi0Vnj1J3Ds94+nlnssoh0Vg5KiR72pHbUMhYHbN5ZgOqj1YjGUw1ANVR7jipFlZOMcAkWoZbDR0llJQn6Brmx1Nzh5QqVLrYuPjmwWvqhiCkODs9IRPvvRJ3nrzLfBSZC3VuP9tYqkLIvMKGIznj5KnIDr1BKTWozUOI2hz/fgmLIfCIgVTD6qknLycp9RSPEm0X1MiZh2lPKPO6Qj0vRH47OyUJ0+fcNjvzMGEM2yBBllgV70fAh28TkVpJqhLzsmnGRtaMHos/P5r4+RkyzRNXF1f04DdoZgB5gRhdgPrMmpMhHYyahWGSRLLcuRwODDnzOl25qouLG2huPE8OTmhtsaTRw9RbWy3W5TG4bC7FRQJ4tBlBPbSA4CgtViFqIxR4R5EpGTzIaQJc05+HywhtSmwGWHyikkha+HqvW/zS3/vQ/bHylIX7t+9y3FXvKlVh8EmSpZDj/9WUOLGW9vtCaOS6DapNbUqROfVSy9QRuQ2kF87HyGrNzjbg9oRqI+dp8qxwrfeecR7j294dLnnwJaGUSuSFmYPDIz3jEnvLrXb6bhbVsUZSaDxggOsGIGsVQaUKVnCZMbbm++oTEQSFnd4JKydKjDZ0LCQtEyu/25Bv1PyNDudzSgUadrQZPTe2HRa+55pHg2n5uO8yqRRtbRnXldOQts6NM3XSfV6OvCaU9ttlSdbAlatJYIsX1MFpfWgNWhZto6Y1rNa1SmC1dqC+xzUM3OeOYsH42s1L6ddZa/cImhSFimkpmQaUi2BUMkUxOij0npz6oRQRDGuolVSVLGhUvgAwZiZQWG331N3e0TX6OqgaVhlZLX2DF+8riJ1/xlVWz/TrP7sUHhx+lIpfPm/+2V+6zd/k5ubG2I4n1tVYn5BrN+4nza08MUXX+C5Z+7xzW99CxbvsdLYM/uU/X6Hjc1aURD9qjcPgFMe79IpLoFCY4Oh4sy0vgrj7/t/gMJ+t/dhluLncwAE6+8g7ITavdg59RboSLj134RCi9lArSPYiyDLqg7hSUy97t4289y9DYdl4cOnC/vqPRERczRLPHPeUJZjT5zijuAUvVpNXEQT3otQu95/agISMV+cH3dGahPMp1l49fOf5ouf/wK/+/XX2L/3gFrUacIWrB72e8Lph/2PhDGAD/Wm5XUCbmY2bCkdXFiDB0H7TH7va2ud4ghGheoIfNP++MMfaLc164pULZUYXGjAdtChzTgej0cbpNkwOxoGKuJCt7l2BFo/U/Hoa3/0h/18fE68lNUm2UbnKVnJVcS10huHpja4R9q47aghP+6kUgxlUA9E3BnkaYNiY+MTNo2xOldNjRXaM1HRKAdOPvTP/1tBdaGVxO66UMqCSkEn20ilMYsHYGh/TlXvcG6j1NuabWo4w5ztlKQ0HIMgPggncfeZ5zg5vcujRx9QywG8FGxG2se4ywZlIrHYZEM/SHiw21SYsjWCTC3w/Wh2Ak2JK4TffvCU7zx+zBMRbnTrigGQ0sSLz53ypS++wu98/U2Ox8JBhFKsjL49OTHEr1kZD+w9ljLUcmKv4lbkPHWOtnHdY+CDqdqEPZIUXET6YZRQafdMfZpnWpVxGb1JMDr1G4knN42zTeLuqfLkGtqh8Z3vvM7507/H+cWlNSyiSIYf/+w9fvf1C5pkJpFbZcGcVk18arzKkd1mD7iiQcaep9ajc6M9oFL7X7w1xNmw5TFHEQGEMueJeZ7Y7Q9YOb1xXI7IAYJqETQQA6tiyindAZm8au57Y3fFJshJi6mNYgjFgL/sz9XClE7YzFb+DB649VckRIbUp/UaCE2LqdME8lgrH374IbVaolzKRMrC3bN7XFyahrFoYxJMyhEsqK8VG0Y7yumskLgIisPI4U2VtdbBKfQ/Y+cpkUmkplY2dySvBqCgme1mw2FRS/Jr41iOPF0eWZAxZW6uW++16XxJX1NLJtY2TYlqX+9f8DR1OOCR+CLGh24aw48EIduAmTCbkm45iPUwMHMMtVNtRvlZ7Dkk8/QIj/c3LNXZ99HgCrQAGZrdrZuba5KGfJudJ2PKikmbijXonZ1uSSkb4teb1oQPH59bsO8ghw0uMrCFZNr74eTC36yDN3VbFUlMr264rJ5J4BWrEqRsyltabgX9kQybXvPEcTlQGz51MhKjmH4ad08i3g1D1PcL8MZH31dc6tAiTAvI3YmarfYg0r9jNESb/W6yQkc9EE7ZOK9ax2yGQN+SmKLPoLpZQFZ9bsHECBpROj831hMRskxMYqg8zWmKBJIrPeG3ilLrlaVGtfkP/us2vyH3c260D+d2E7TXCCCT2/Xbyiq9eqH05uPeL9CTo49Sb0zSEW7rposIrRQePXzI+ePHNlSx+hC8QI0we2Jokofhbh/K0nj44VMuLq5Ziph6UnOQDkFb6sFRTeHx8Vxg0Li221OgcTgc7DlrMdUQD94382yD6kpDxAZbGaDg1X18Knc24kx1yV9Ldm9Tt25RCQM1xhrad/v90D4389L/u5ZiE2FEaN5w2lNQ79mp3lw8ibKVxOfubflP/uM/xYePHvEPfuEbfOvdwiKVRnV/aJ8/5Wk1nNGTSfXz70lqgKcxu6NzuIk7mKlt+F2zYYWUsWRVEodDZb879vuam/UyNUksB5eTdEEIA1In8PigNe2DoLoioajHfW6lW4TbkMUm+kYM05oyz5nTkxN2+z3HsthnKMRMmpwSMqUu/YmsKh/oKkGwZzgc9rhRcdsfgZADma2Z/8qJRus2gEiqwWl4rH4vPsJR8o/x87GDeFPHsKbUzWbDbrcjGrkacHM4Gnork0XSbWSyhsZr//um3FHMiEtsSiD6iwf0EycnW/Z717JdObgk4pPP/AAlM36ixh9U9SCrVdf1pBvrOHLigU2trZetzMEmmmfQdEPijrytN9OeO3mTLsDzzz/Piy99isuLxxzq0b/L0OopT0wJllIMideDBcvdWUBOkwc9EWiYmo4W4zIGH39PQtPETW0cKFQx/YmsILVx2AsPHz1ifzgY/Uf8Iqgb3EBI3SiYPrQtTufMBxKpyna7oVY1OcCedcLp6Qk5Z3a7vWnTdjTMA2eCsuOfrT6ARU2WcZonH47gwWhTMonrfeP3X7/gz/z08/yjXzlHVLk4v2A5LJaAFEO2Pnlf+aHP3eX/+S8/YJ58/PvRz0oEkeDSbdqNQfD38fPTs2JZ0UAIg2vGOiE2LU5COtSkLD3KsYvdrLH59PSEw/5gAYEqh8OO/f6GtjrH2YOxFEksyRrkwpO69KAIbDYzTel0i5SEeZrZ6d7uhgfDqNEQbm5u2O8PHalIUXGgdQMU91ZaaDX7WcCausBoLK1VDsuRJEJp6jQRQ07EnWtTuLy4sAtv44FxULA3RXfnDivpM+3/6/EX0s9PoJgZ0+yec0a19ACu1cZyPBJqBDFopDdiF+trMLtgxyFUTVY7TysuFZcgxtuP+QmJ1gomh2jo6ZqT3bQ5ZUMiL+jvGp8xTasmtXhPkZ4sErfGA8nw7TWFJCSoq0OZ+MSgCqB2vlMzTrskaLhdFVNFErdlIcxgpd3g80YALlSRLmMpmmhVyWE3xHpZkNQR7rWkY7/7fvfEqQrBa97MWz71qZd59PAhu5tdtzeWOBcLvD2SNXWKxHPPP8vTp0/ZHxYHOEx+VT2ICDQ3Et3or7C17Le4B4Nhi2ISuPgU6n7yRExCVW26o4qVwLMoQnEkO3kzZVRXDMio3ewY4tu8kc2et92yLbcRtkHFWxkeD8J9f5xGpI1O7YnmSqskNqfXKSRYKB3xTh4tJBESiapDRKFq7YhklmyTS0nuq8ezxVm+dX77o459jGpuvw9EL5S61vztO9B7RFph8eqL/X0gGXDSbMKWVyzsm61yaJXS65sDh30h5w054VU5egCkCirNVFkCcHFNb9/NnpysFfhyDuqGrrj5yjTN5Jw5LoshuHEevA8i+nxEhNRaPxdGmZD+3hL2L9bTmz1rizjFgJu1K+uWQtZr2zpQEOc9eOlzzvz3/sSXePD+B3z5Nz4gv3+O6kJpxfsIbM97BTRZw2tKiXmeOByWTj9RT2i1WJ9BcuC0pMJSlCwbMmr/k4bWxtL8HunEG68/5IO3LrjZ7TzVV5Km3tNkMce4pyb6sD5bt20rKJKTgVWSOB4XAwG7PYuKYQz6hFqa256hka/QmQnVRSPi/qZ8uz9rXM8gu8Z59ATbv2tQXBulLuRpYp4zy9K6b7KD3roqWLznrZ//fyPxa9724gMSTHEDH5wQ3M5eXPSufS8nqf/5yOI0ynrecSyjWztJQptwOBRqjcw1j+DTnbgZMFsQcSNlDBShFnO4obF7i//o29zRIv/cVoahCURIPVubpxlELCPv5XP6gVKUd995iw8ffshy2HeENhD7sztnIInLywsLRMQCiybZbkS1Q5xRpDUkw9nJKfM0c3NzY9P/fChPaZWUZ4omd0htjCVO8Pj8hvOrPccFFjUkjGSG3ppCxEuv0g1VIMzikmldUaI19vsbQ6bwKWrYBMRXXnmFs7O7fOMb36T59Ldw4tEU28vZjip09RoZgYzRbZ2ykKDVzD/6pQ/43/3PfpQPnuz5rW9VEGtMKos1dn3invK/+luv8s+/8gGPL+0DozM/dkScVtARVlYXSHuasUIMV3xa1shT6w1GZlzMwJ9sDX1elmN/1/3uYEOImjJP0xiq0QIq8yikLri5oC2FNG2tdImjzIxEcd5Mxml0R3g8GmVCGZS13gyYzTAtLdRwtButjo6vQgYLIFz9xiX0DK2X/vuoU5CiIck/wgymf0ezxjW8cTS8Tuzz+HyPJP03g1e6ti/hgIXQzzVpz3vP3OHRxVPqcXHHWlnUEvQ0ZaZ5pi6FtpqU7HBM30/U5RIj0fTERT2xkjR5NceeYZ5naq02AGUlgwj0KmH8au8b6ffek4QWjVj0f45/T45SOuVszeFW6HJmsT4aEoutBz3IxOmUuH9vS6sLj2+OlLyhaaPiOtoKWguQ2d3cGD04qIA5exOXq4A1+/M2st7fUKBla0TVagNeZBruw039COoczdXSUDVw5vLyYtWYSu+NUE9WBbMDSYTDsfDkyVMkmXZ4KSOY+GhAaZQPBzw8YQ+0PBoix+RowIMjW7ux3k3pvUehrJLEOLtWhlBSNAkbd5NWCmUxAQO7KuKVIjt/poRlCG1KGJ2hWeIXCibTNEOnbRErQrCyq6N0ih2caCrcbrc899wLPH3yhKvraw9KtNtxaD3QSylZf8hxYa3Glt2m5Rz22pYkgpC4l+sg19bK/KLZxdHf02lB/t8pWd9Q/F6n1Xg/VW21/1nxe1ObJxN4kOrJav/u7sGtElZUWY7FiEJ+DkP5y9ZYuiqA2ZiIJSAqbsUT+ebnM2xDKdWr0No5zctifX3h01pr1MWkKOfthpyE/d600JP3lsXexDoYpcIjJV3b5qGrrzpsfrcxbdiDWJSwJym5znpTFuB8Uf7BP/oV3nvwkO++9Yil2VyGKeHBtdtg37OUElkd+W824VxXa59F2OQEpTJl4fTshJu6A2nkmpApQy4IDY5K1pmqsJTG8bijis28ULG+NJXWg3WzH4q6JCurt04pk8AlqbH77c9VSnVwInUuf//7YTMjsG82yC905olGYyKQF1dPCn+66vHRiEOH3r5G4qwr6h6DYjW577CKmidyaaXlH+d9NXhrTT/7/gb8P/jn49Np/AtLGaXp6MIvpbpCiwWHWcZLq44AvLXGlC3z7oGy/gHZiDvWJZyaQjRmde5T9iElPsFNFCv7NtvQpi4VloRWPsJrXRkme8Y159vfFQZK43zKFOiHjs/opVCwCXhlsUNClHzsz+33N+C56iZvmKRwKInCbJl/ElCjKWhrSBZOT7c8c+8ZBOHy6to/z5s1mtwaOtMwilFZEq1lk7xTYWmLBWY6puKxOpyoUYyaNhKj3IuvRc5iaKaEY4ikDC4uLtntDugqeIlRzGDBS5IRIGaJ9M4cHSW45yv+tMHDvH+R+C//mzf4X/7Nz/GlH7ni175+wcPHC/Nd5Sc+f8Jf/TOf46u/f86/+OoltVnZLaamBZ8O4lL3w8VQzKA7aj/e0ZN56zKtg0ttruPtjXTJpxKXIv27jPsvhiSlBLU659udmBhXM4lyMidyyuz3C5XQ+F2XohuoIeu2Z0HlsHsoKTnNYVSZ4gyHU0hzcAWl3x37s9KdZnCmW4OcRuncFHYCyUir5JzuAFNK7nT9mWuhtOpOZWh1R7f9lE2do1Qr39I/y8+MRrKgfv7MNhRt3Oz23uRkLzqMo1UPgk8biVrKyWkY9hck+VvoapiMGSj/bqBr+Y9zIGKD6JJk1y12tCiSjxWlJB5ufc46rzgcpjvdULo5OTmj1srxWNy2rJHksKGyUoCygCCAAkkbNieJv/bn/vvcXFzyr77yVR4fK0VsdkXBqDeTB7URfKU8UY8HglJkqaxrO6c4i4nJ98sQf/s1zSvahIhVVX1d1gPlPPSklcr5k6deard9VmU0PkNfm5wzrTbKUvjkyy9xdb3j/Py8O884E/2e6gCHjIdu9c88mT52ayaAEEnlOvGya+JVKlUrvCUxCkAjoh1f54kpzwZoVJuymp3iEncv6Fe2h40YGd81oh04Sb6xUSFuqj1Yj7sb99MSE//1ZO+GKpvtlhdffJH9fs/ucKDWxc79KtmUOECKc819P5wiFZmNqlcoqyGc62GE68BifZ9FcHEDT1T9XXOynof6kQAozkenj/ljdlqqP1+ABnYmPcGTUJ5ZoaKSrKFcA6yLCnP4N+0JY2KVOUOn9cVZWpbFbYAF2Kqt25q1r++J8y077eh3zjz//AskgQ8+eL8n7xbkjcpDACPKQI7X6wOr94/v9QTFTHnQIFf9NN4wHiDmoSnvXRz4f//Cb3F9vefiIFSZenyzls7uCUYdvVytGSIfSZ6I0XFN17+wnTbcv3OXdgXHco1kuz/HajGKJRTGAtB0JMnRhCXSHUgzSqNKtWphJUi3dk/7WYu117iC5tMk+323XslK8ORtrSUqnM33s7VO88nJYzvvJxp+0587hxAAwJgovJ7xgvuZcLahc7/et9gr9f/XfOJ97HfMB4mevXUPStyxjxvEf+yJrZ//oS+MoFXGMI0Smptqs7dSSs6JHQfSSrOugZoNGY8fC/SGQ+hInT9WN9puhDo66gvVaiWpkhQyApItM8eaNpKM8cgxajkuyzAII+ODgVZ3eRUPGEJdojsv25buCJLkofkr3N4IBRVhRvjiCxteupf5+ttXPFwmoJJUnCtqh3HKyuc+8xm2my1vvvU2u/2RJslGEzc8WYHKgrhDTQ1rTko2Aly8vGhn/7ZO/Cj1T8ad1MpmNZEuTkVtxQ+q9O9cl7Fv009WSZb/gip9PZIzj2qzzwuqgvbPUEQnonwm0njuTPkLP/ccP/Ujz3K2zSwK73945KvfXPjmW5UPHj0aQaX2u9QDArO4dvZIK7QXL0dWb8BLESB8pCyZ07joKh3hiZJlnNE1JSTHfnjQUSMIcMOTpbGZlC987tPcOT3j2999g+v9wtKMh4y409EImltHTGwMtpfAp8kSon7xaw9M1Y3U+n1jKingogZBDfEQXG1CpXigfTwGJWyUCasYlak7JAYCGXentdIlUwPpjjMXqHOMFkdvJ0rJk5JaLUmxKYLN3llwFN3tpwopT9ZpoAMtm3KmLIUkwjzPqJqqENAbEYezGpKVyjhAYevCzm23W+Z55vrqmlqKn5dhkHuJV+LsjWC2lHLrz0SyK07N+r6gtO/XcAwp2zhyiYCJwbZtkjib4N979WXupcz51Q3vXR54cLVn3ypVIoBsTNmoIPefexYR4cmTJ9TqiRzZ7FAzlFgmo5ygbud7U7r289iTrFXQtwZJzN5Y0JZEjKrlmtgxcCYRA5OGxCQ+iO70dMvRz8P3jUkH7x+BTXat86YcDgukTJ4nc4wxxh4PVtpttLPfXbFgvon1AUkbPRyqiXl7Rt6e0cR6Z9pxB/XQs3+Fsccr32IJrVFIw9doP2rCmCcRd3X4z9qKWa8kWHeD/eVILE82p+z3e0uK1fnBqt7k6G/cqsuKulKZfa3/t++1B5aht7+m/gQAFsF3BDTqvy9YUhap/i30Hr11j4Zr0P53clTIfM9VBhqaIjBbfV7cCZVBdwgflTzIqpGwJLdfq/32zfYAKgZEGpIuKdTy9PZ7uI3dzHP//rAjsU5JEnfv3iEhnF+cu611VZQAEcRioFbrrXeOZ4t1ij0YCYJN+h7x10dikfU6iYJUzk5OOdve4+ryhqaNQ9tDFqcc2z24VQH1+2QzR9y/pWRKapZ5MwGpNSbJnGxPOC7Vmvs3dpYyCckT5ImyVAtCZGEWa1zVdI9Da4gWaIXEjErzXhrte/zR52q19oTfpvoaMGsx3UiGjJpn1Sg0GY++tXHntTFNpq5zPC4jyY4YR6LHTzsVrp+blV0O2ydIty+RZEZT+jrWzN443WNLwNQa3X/0vV6JJIjw+uvf5Y/6+QGQ+FUph3GY1gs9gQUSaQR7eOASF6dnp2YZV939q4DdoIx1mmSL2jW0FaV2AyvJdHTvnp0xTTOPLs6ZJBAC24T1NMiPIq1KIEPmcCSQAc+0gCEn9X2B0cqQqHHT1RGs9U+EHqc58Rf+xI/z81/6LP+Xv/dlnn7vEUo1BEiUliZay0xa+fDhI1prHI4HEGu8uP/MMyzHA7vra4RKqZa4SIKWTNpMwErngktZWkC82Uy9PHirROq5iunqW8OkGYeBRI4Gy0FJqVq9KdN1wVsDyX3UdQSxqHEMU3JUH19zR1wHwrMy7u74n1w3/tt/fc7f+6UPbdiTKLVsSDlTRXChHJAIdLl1CYZfdKev453GqOwIIKOKMM6GnZ2h1T5J7iWy7oSivBafS5QHo5E1jrT26o5I4vzikmUprnxQCFscz9nvT8OpKv3UWUBdCv2yEeXUZmuBD6zp72xnIP5uDMKIMxw0J/UAJJCpft/VElYY5fMI3rWNicBGGZgsaBjZTz9DgfrYqltfBLCqlNm0PvGE2vbAm4Qku1kYzxpUimDNCLDdbs2Rl0pZlmFgBeeH05OKk5MTnnv+ea6ur7i+vh73VW8Hesfjsa+J2RK7D2vUJNa7eBP3R4Py2Pfx67fXZf13VLUrYsQ7h12JOKS5XVQ5sl+Er337LT5174TPfvJFTo+VcpVYyGz0iGihpGxJEY3dzhqUW8wwwGljebJ7WhZyywimkz5JoomaOpG/0q3AiOHcgI8EN1YRiAqliNigN/Ek0jnYm2mCbCSzpS0gsD8sTkUZKGbctfBB2SukXYNe7I3K8Uivymnr/RyWsNi6xnGIAM546NUqaCpos4qFppnt/ef58//hX+XlT73Cl7/8y3zrtd/mcPnYVNYYtAcLlxUcxfQTtfIbURFU949hR/0T7EKaTcXsayQI6zVvpXJTbuzfV1Q1s6GAmpwlYoMDJd4TPLj2JIMcWX23P+u9XN+JAMTCFjWvgoD5YROCWIFt/g3j/I/1tt7cSMbct6YBXrgpYnKwqCdIkWgzQIIem/uXhEJODDuKOzUSCnuH8Y7dSJu91qhUrmwx2CwGgXIotLbyXZg/vLi8dB8QtArtflibUkV7rDGl7OZ7JAsfjVE+Gjyu0fP4NXuuGEhnCJ+IcPrMs3zqU1/knTff4eLJBxZIEjQQPGAdoCw4dcUryKy+W9UrNGpV0ULleNyTq1Wzm0LWyidQTqeJh8drjPK5JacNZ5NRnA9x91JCdWPxoFS3ZdITwZgAfAs0wypk2sz3xaC4ISUayY37zBQ1NrcLOirGm3lLKcHZt3cTsD6gnDg5OeV42H9fpWSd3EWlYonKMZZYq9y2f8EmSYB6jNH3L419jxi1lHKLnfJH/fyAEpPjMN8OZGMQRnT4BzrVCN1zwQ5/1bjgHhSoo2tqaIOiHo+teHb+/5oEKhlcs7biWldr1KkeNPUEfVyQ+pFSeTy7iKnZr7m5PUiw6NqDdOzfe1c03aCAOe+OUPt6RRd6EoEkFE189+0HzNzw6OLKlC0oEIoHqt25XO/2TMn1TtW0Wpey2LQ1CikpWTfUKkhTpqzMU2WeJo57+nAIkQnjzRcPBKLUa4ffHEhivzvcQrvAkM4eREgYS3ckVSEr05TYbmbjAUZjEakP3zJEKS5jDDkw5xTrNU+z6USXUK1Rk5SiGW9SEos3JzUfN98NNcFTH4nTujHRgsDC+jpGIhKXLHox2up8hDTlPM+UYuV9UyYynq+S2Gy2TNPcBwFFNt5RhdYcFYtBD/b3q85c7Y48vbh2p5X683U1QLWgz8Z2Sr8M6lxX+4+K0bTGO8cl1Lg4pKGiM45r/71waPEEumqqxY1TP/uObI3BN0JnIIsFHXm24HM5HInhStYM5HZE7L2yT9FbO9eTkxNETJ4rqnwWYEWHf6C/K0TQHSRYMrC7vhlOGzpQYInXCOLF7+R2u+W4HLm8vBrL123esGXd2a2kdodNXNuTYW9unTdG4Gsc7xHERz9Q/Dmb6ph6UoWM89SdudpdaDZQghuBdy6v+XC346CJg87UNmgGmhwJR6n7/ai4+QGwcWjNKI4i3N1uefETn+DdD97n5nCkiCljEAlf3JXVv/cgYzAAmGZTbLJBYr4X4ufJ/YO2SlnGoJhIwKsjcCFjvK5O9KS5Ng61cZDQ2ZchQqCW5Ik2kppyTGLwrBN0KWCT+A1KhhB8D1VI00yeT/kLf+nP85M//SWudjveeuM7LNdPffKiJ9OqhjJqg2w2qU/uFAvx44zZEB6vnhHqX5PZJQ/yk9836+80ic/wKY1QBxvDxNZBntmwuMcSt932y/nDyPj1dUBxG0VcV0CGbRzzLHTQGyK7j7vg/wwE3QKYNWVC+nOg9BkRfeFXtipl6AMLuwyiJx6rsxjvFGdAfL3W5zMSqPjP4Phb8Oq/rYP6Zmo9jVKW/nfMT9ceesbE1c08c//ufXa7Pctx6Wsi+POrV0rjrsuQUY016uvnd1MCaJFxlsKUpez0GvGOpWrn7Ppqx3sP3uXmeO3KLl4BMCvtk9zlI75yfH8wJsY2CDKZTSqtkXNFU8UEs+FM4EsvvcDP/viP8Y9/5zf4/fMryFvunSU+/cJdDofGOw/3wERpheqpZdZEZIJxjnCfk5NPNE6JeU68/PLLHA5HHj58CFiv4lIWk3v0dRLvwYx978IHbndqUw7Hpa9rJL4RC045cXqyZTke+ukTsQC9TxoXoSwLNXl/kq9fdnWd7rsFtLj0uvshybd58faccuv+3t6PP/znB25sXXN2+q/jVBDisohrXdOz2c6B0/g8+gtExm4osqH1OY2gTD1Lq1W7YUBNRghRGy6nws3+4HdTekPsGNJQb79LoImoyeVNs5e4TO5OI6D2z+tKJr7p/SFWjjxKz6HLm6eJKdsQG21KUmXRxpe/+R6/+q2F3ZKoMqFpa0EeGK8f2/COqHS0QdndXIE2ps3EZjujV+r6vpWzaeGl5zbMZ/d5690rqIXSFgLdnnPmzt07hsIVMz69RK4AISs20MFQmLD9XukIk5DULIBuCivd/jQlwAxt691i2kcn3z5T9mkRVK8sOF21BljzZm/zi6V/TvBylQi+JjabjcnXFTeaa7SDAF/iv7V/PkSJrnE4HO3fNRQYkgcB9oylLK5Y4+VicQci2vnvm5TZzhPLsbFfGk0ylWyDP1qjNFDnLArNObTEE46ENhIE/+wYftAdLBCDoQLZNgfk72aaD3S6jTZijLQF3GrIo+LKQb5j/nmh5y0i9FaIHkSbMSuLGchpmnj++ecpx4XLy0uTkNOYpJwMKXeqSbxbDPzpAVtTNIknfWrDPKLxt9sCRzocxetUHRnShCZB/FFHDsfDgXffe5fRqBQJkxvmOFvaunymrcgahR40mrAR8XfsLnmY1hTtgaGBHikZz74HQP2s21r0bI51YObIfU9gBLyB7kYTV4ujzVKZKJCySSMKNh9BxO/1ivomNhGVlKj1ADRKNWWiUgwpU5cd7ISzW0CI3H42T+1ELCE5PdlSlqOjVhDN4SQhOa2rtEL0+kSTnq7sxUeR4VscbYvkLClypZU52yCx5559lqdPnrDUoYQRT9gTXY0dN/udvPfI/ENB65Fa9vzbr/wqb73zAV/76lfZXZ6T6oHJQ9SqpsseSVOzzsbuA9f+ozWznZs5cffOGVc3O5aqHggKWtT6DsQrLqrrozA+30Ubpum2K7c9MQpWmNVkHzPUp3ImKjAawQRxqelJ4zh7dFtRnQYbez8Cl0DHPXF0u9q63TYKZ84roQKJjhu3bynSKCMQGdWgemBmg4xiYCB1oNOy2s9xLpQcyXcbsoz2XrkDbnHMDCBK9ODK7/vtCpP2PY4hSykJmqx3pNXGzfU1tTS3kUIgM/E50zSz2Uy3tcYbdBGFVcIXtiOgAwPH0rDJzRBlktDEYpVJM8fdgUf1fZvG3NTtW3JQbCR+H60C2r/HvuODiZKbPfcnEhVz+14VpYlww8LbH77P9c0OCog0nr2b+Pf++Ks8fHzBh5fvcNwVqEfzU0y3zglJbP3VEvppntkd9g5cZc5OrXE4Jqcr6hKOA9ARteqw1f2c3qKC91fTZWBVerJsm2trXMrCxfnTTqv6qN1ZXTLbgxyDQNutCnac4ZiFQsVAwADbPLlzc9n/LnALcP6jfn4AicmRFaw/PBo7e2krOoR7sC7e0Tsb101uf24vB2mUQ8NQBAd0ZM7W3OWHLhAcD6aDWjPl5PSRoIsMRzNQBggUJgKdOQs5TWw3G/aHhUOtt9CKssqcBcEVhSJnsQvtyK16NimrC95UTWYrwVWbYLoDXJNlobKxplGxZ8pilUYV1yyV4OP7IBdV8rzh9N59jrsrKMqUhc9+8jl+/Iuf4LvvfmgIXRtosiJsNjP3796l1YWCMk0bmzimYAbt9mW2Mq0jHT6tLQKH5ohdaY1JK9vNxKuvvsq7Dx5xdX2wpmQGragjrkGtcr3t6lMgl6X1NTS+Y+oI/PcH7OtEwPe///9xpgxhdzUMDdoTtxuCIvBanfNARyUQumiEXElTRvIRTUDqSVCnS4SSjyeCmynzzJ17HKaJ/dMLaoX9wRVPunJG6/dInBsuIs5hbB4QeUBO8+TI6QXdxEdvR/P31q4OgWhHzksJtYVBSYvvb612tLsUozXgDtp4lO7Y8PPV7L9Mx9lQhyjLPv/88xx2e/b7PUvnA0ayo6ukjY50mUPz3hLsfpqvMMQmmhjteQaNIdB205luwz55sB+UnzjDofLS0RVHUsxJS9/HQN59dW/fbxxRFacSdbBjIGZhc0Kmd22TIktKPXnw51Q1uhqY6lYPPIfjpilZMikLk9h6l1ZNUUYrIgXRShEgz47kOfoWPQTTTFWlFKtqGg1ug7aF6+PC7sGHJkHrZy0as2PN4w6ZnRzBXldLQlmWA5eXi1cqR1BUu41sNJr1UWSXcEV9PDyDox97Ek0wxIKsEyrp6xw2rLomdKxh83sZxc84y/Zc4oG+fbhEQ2w6cnP5mF/45/+EPG15+ugBergmtQVpFdJs60rAMSsKxgoUsO2OZEM42W755EsvUt9/wP7iChELaiqtq9WkUNuxCV2kztWV/j1d8aetpBLzsIUxpTirVVvUKwcmeKCYjKrdyVqL+V9i7dcUgDXNz8CE0cgsHTSzCmRMRDXfFWfeqk7VBwLa51RPpAIUNElM+zGVLwUqKWdSmgFhfziOJNTjg7oyKDFkrPtpzHYJJhVsZ8nptmKBoNFC6YIM9tEmNBHUjaiOCETmx8n2hOyzF1pxLXaJqp0/gz+XiDBPE1PONhysB5cjoO6JiQRwamdRMREM9cROuzKQV0QTTGlGMHaCCWUUaBM0G/wV9jD6Tz5avQmAS/3PdUnVCk1txkxKAm1C1ORJVRTmzIMG3/v2d3m0L2g6o1W4Pr/mzdffYbevtGU0fiZmk67VauCRCFM2imwpFZky05zJJXU54bfefAsz+0aTPBzsTAjj7FRvvjeKXe6KQ4j3tCHYtFZf92B4xLpr8/sQFszOj1USW6fXhjKTpOSzd1pvOkchT4kpTyxSqa14QV08cPfYyGOMJOL2MbHZbDqY9XF+PnYQ32rrLwp0hYPQUDVdVYgR9XasRjC1FFsAyZNnlW50Vg1pbk89k29do9QSYstawpHm2cpXNSYKunNoIqQcAWAgXlH+C0Ud7cGcopjs7J4v3H2GP/1Tf4KvfuubfOvDhzTPQjWBzIY4BxIhdADQ/pmNm2nlsmZZX7VNnaZsqLWX5BBvyPUNzKueAcXfM02gxek8cbjEA6bMcmg8/vApWpQ5C/OkvPDic3zui1/kzUcXtPaY1vLK2Vkjx/mTJ5Tjnntnp3zhC6/y7nvv8vDxOU03Ha2F1v89uFmG0kGgVkZ/8oFJsvDZT3+Cv/m3/hr/4J/8Ar/1u99EVMkheWXpPMFzTP0w++f6Jufkx9Ermi2CJwk0xo3aynBHA2Tcy9bUE0ILhIwXa3un1bLmJOG4VoNHPAiRQEvUsuYwcBE8L8djDyCzCFpbD468lELIt0Vg3VCu9gdKO8fAYk8mOnpFR/Y9Wu3vDZY8JJVbRra1kEQ0XXYHSdienHDv3j2Wo0n6tWr9FgmFpORJe0WLLr48AnMbTDOGYsXkQPx7cwSBHrQ3LQTrUPqn2douy8Lr330dQzecfuOj6s3JhbNaUyOs2cw49dXzFG/olUSppRvsKSWqQKvFz0s3PMRAuZiCHA4yejTMpKzOMjDPmc3GqFFGa4+DFsmG62A7QjyGPtG/P6XExulXyxLPRV8dSRNJGmnFzfcr7tfAEiVDaht3thtElP1ixWdlnIOI6kXUStM90TN9d/vOGeuZcZ6p3g4Uzk5PUBGurm7MYbXi58BOcL+rXuUI4Er6K2kY6P5cowHTUcsmRnVUV3bygMNsoThanRx19mbDlNhut+yPBwv2s41o11r9s+27JRRWxCpMo0kYGsJhqXz49NLWNKZR40GRn1UkkafZBt5oaKTbs6f+eQ0pBy4/fNf2vxakHOgyq+KTUWXlI2SsCZGMavNEyMCm3WHh3fcecn04QMpoc4AIRZJykmAjSqvC0kzVQ+RIFZODVc1udqpNQw9rJqmj9gBJfQhQgu3JhmOFQyko2ZuSR2MqPXBcAyaxLvaTU0aS7b3W4MU7uimKEhrnEy7+7PfPtOlbVQdDUj9bMIAWwQJGEWWeJ+5vZ2ZtqFRke0banPH+ww85FgMzkpYeOA8gZcQgec7M04blsPezk1GMlioye+Jsn2X0XiLyd9qTnzVVl5NMQ91M4HA4dirYmq3QtDndxaVCkyUXtS4G/jTtNiX19bYgUqJHK2RQxf5g7omZK2Sl7P0cirZCI3XutdTMJJkmQtEK2atM3osSMdCtRu8IbmP1kt2TiKeIwWGYL1YtSIKlKO9d7CiLcMRERDLC+U3jt7/1CMkT+2KDL9GIE8OfK/OUeOm559lOE2++/zZLW9DFt0WF1oTdzWLJadZuPyQGN/rntngHsWR9wkROigOspTUXSbH3m3KG2jpIV6vX/wLtlSFP3IcuRhrXXMJZR2KXvJJ6st1wdnLGxW5PaYv3S9KTg+qD4MS/J4DDfg8+5s/Hp9MwssNwfINLtabXjBIQBFAWjgcfGR1ByjrTtMNrl8IMi1i674GbeqAymlzUAwkzeM5Ji+jav3+9GJ1HpuMd1mWrw+6aB++9xfXNhRv6ybI0sSAnT3asW2gnY1/fOirh+bBfeHEkuGBUk3necCwNaUrych6CGUF/vkalaLKgN7JHqvM5jeKQHCVRRzJbEpay8Ppb73C5v+L9B49QNU1om/htQWYtyvWyZ5YGtZKalZyzWKNIVy7Agt0Yi2y+2uScbKSzYF3d0dsgPHz4kF/8xX/FO++85cmX+Flovi9+4dyAWEBvRjGaV4JD3/fRvXUgJjG0YSCJbfD64oz5322+0Yo50wi0BEOHamhkR+SOI07NLuM8jZHpeus8t97IGqE6hNyfxkXxRMTPpf/9m6Nr6UtUVTxj9zKzm1GqKlOeoA0E3tCH2hPkSEYVK6VKsgT5/jN3+fyrn+fy4oL9fse+RhUCzu6c8blXP8vDBw95+PCJ97IpaKUKhNRgInspOPjonjyq3bc+0S6YrjLOWCSqca/3+50j/onNvEWxs2qXOeQ6xYIzDwhu0TwAbY2cvSm+5zkrCpaISZnhiKXTA8KWjKEo9D0cVb8ONdBaZamLT9McUrpRWfSvWgU2ln31AN4Ds5M7Z6SUOT+/oNR1kys+ZVd7eX80ZzkimLNr09v6P3v/DiLK+w+fIF7+704FdeqfnQ26spI5WtUIvB00iVgpDGCCpVqjeUrmlm1iaDjyQeMLh9hDOl+QPh4+OOre1mnrGnewW5Wetwy7fDuhjDVuzZqJ1TW6Q1hAO0oupDRZI5knjRp2GOvlwdfFfH2mqpKbJ/GiiFZaEjbbLSfzzH6/cDjuLe1WtzMe7Bt6VqhHV+lpdm+Q5CDS0IfPoj3BM671COIBDxjt9w5L5VirBV15S2qeKCVlq4UvbE/5/PP3+fajx3xvX2mYak7LiUJCNCFS0dR6YBGVoMiRAu1WGtvtxA999jO8/+QpV7sDSqLd7GgkUreX0pPcNXU21jOqbEa7a1SCIucTz8X5xyhVC0mzBUZZO7peq01EDVDGqvWClsVsryguhAWHHZ974S5//S//Bzy+ueT/9a9+jWvnmhfJJNmQdEZ1oWplSh0/7Zf27r27vPKZT/HWG9/jcLOgxf6EqdHY+hjTsKIt02szPbC2s2xgQNBKTeVEgeJSycj4O5EQmv9J484K5OyTYI8LSzW6UFXj/Qei7FaJ3g/Tbbn1EiXVTk8LmwgxQ2IhkZE2ce/uPW5ubljq4on6iDcwF+ygnPRA1r58PSeljeDYb2qSZFNqa0OaJc03ZTEboMmC/SQcW+L8mEgZlmb2vBbtfrkhTPgk3NZYSkOZaAi1JTYpMc/CoVSaRoJcDBGP2TNum5oLnpBnUJPNnrKyycqh2mTq2m1k7us6ZCWHTbOg3apVnlqZHfCEJkBt+0fICpuRzdNkSj+tMSejOtIWatq6uIeS8ondsbaYn/HeqGWJz1o5wT/k5+Or0wQCExfcDUPQUSyoj1If3Qj2Q01wjEPq57YkmXrADmJoqQflonUVKllJafCYAk2Jg+VBlgyu1x9khMBKIJNMxlOqhh59WBd++Y3vcGxC0RmRyYIDdUfnkkL0IMUvpH97c/Sf0DWFgWqQOC4Lpbn9d2cUSHW8XwSt4hCtBXfOLU2JOWWTbupoBbRml/fDx1c8Pr+gNahtQjV11NP2wwKSWheurw98+7vfo2qjVBtcEzz8OMQpr/ly9DJ6b+B0nnhtEw8f3fD4V7/mA6mMcxYqOJLE8zP7rCk7ctCa8zNtF6tPi4vqjLhUkzAuln2eIyDNEK3SqnOtU8+YTerUmx/7KbEL1mJ4h3gwrEpdq7X4vokIdVlIOfXACoaBjsl5ijURC0Kop0ZMH+8c/1/jTHhyKtmoEkENCYO6rnqtUbGReK7+XPxea9zc7Hj44IE3hi4E9xYRTrcnPP/c81yeX5IluThEw8yaoWj4fQ4n7JFIT3rR7EEG3kQu/RwHB9XoSBb4rhPDe/fuowKPHz/y5zVDOOXJkrkWlDWNTehIZpVY1cGfDNpFo5KnREqTD2YZVJcUzUTAsAUjCYewT4laG02PxOAP+/t2jjSp31VPZojgdtW8jr3v5dUVSZIn3NL3cPwzmpz9ebr3MLAiuJ6qcHl1xTSZ1GbKG2pTl2kUNIUF7AfM7ZLfdTEtcRqejMauelJS1SbvOjpevDKE3/2UcpdPG0b2tmOJpMBs4QhUiTvsF8Gqr6m/6wB9BrjSb4nv+XK0oCgptKX2b8zzzLzZ8uxzL/DKpz/D9fUV77z1Fof9zoND+0xrSC+9QVpRarZ1ExGyK+eX5chNKdSi7tPWjnwdIGm/f0pzpQyfh4WnIavkhb6tHZHonxlSxHNOaBKOKuQmSLNJvUUqz2fh5z/zaf7ST/84f/d3fp3vfPc9GveQMqMqFM3MFup4gJH72Y0k9DaiJxyXwoNHT7i8uaFGK3skskr3Xdrv8ZARFomJ61Pf5+pzMHLKqLfNagQ0oqTJZ5SU5nY3kfOMTJlqAwyYc7Kqpy7I1PjcZz7BzeHAgwePgYw22JA43WyYF5uWerGD2pwKoo3UMk2NRthcXKFTUhCWUpjyzNmdZ9jvnlLVkdlmUoJoQUiOuntl1W1b2PzY/x5bJOnnWSIY9krfoOo64HSLGqHM24ln7j/D0ydPzGYllyqsGO+8//2h2d8pnt7/svIQ0AQcRECSV1QarR25vj6nNWvYxOOWEcSLT7qNivJt6mrY7+pB3S0gl1GBlhRgWjNf6Tz9qhYv1KVaUtYaNuU2eUBs8c1Ehlp49OScppmmE5NdFKa8ZTMJLcPh0Pq6mL3NXolfKLWaElY2e1KLJVF372149bMv8e77j/ngyd76JTuNwqv3/ix9h5SeEFu8aJWJadqAwFKqB/fD90bC2NSSmmWplOM1SZRtEhZNFBd4SXpE6sH+blKSxjRXr16uKqZ/1M/Hp9PEB6oFbusA3X7CWdGdaCxMUEEkmuL4/hyjf7wod+/c4eVXPs2777zN7voKbRVXnEMZfNs+jElXxvUW8uOBRWuroB42mw3gvKskSG1ImtklYaExy8ykEyqZmh1FUaFVDF2v45KrX+ywgoND1fqlC55lqWUlnTeet4/qjUt0KxNX5nnm9PTUmrXSzMXFRU98LJhMVGysb6qW5feAQxS77s5V9OB3EeHi+ogkYSnmfJIkQ5GyO2+5XfmIAKq1amoNKdm0VZ2pZLQuNM+s0zyjzfiz1kCSVusEPQkLpGh1YLvp7cGNXaiUUl9bGEYoERzw4XgM/BC289ZkNWPamzZ/Tz90NagoQkxaM2d37AlIdJ2fnJwCwtXVVTdy/Tn6OXdDH2jfR4I4/BkiMOhndnWGuyHlthPtsm2qfb2SU7j88nBzdc3bu/2t5lDj7iXOz6/5zd/4bQ7HI7V5wNLX3XndEooRrj7R4ryPQNOQ6Xif1OPuKGD35MLLKbUpKSmXVxeeaCsZ+jTWW1U9lzGzd1udCD87kejWdcCPGmLrfStanbAhyRFIJU95AAppGN9+3pzapq3RvMJlUwDpqHQP4jyyi2Qv7AyuW1/qAmoqFs0/5xadBxyosHW04W5jn5eyGC3nZMtzn3iOaUoc3v+Qw+LopSdLzR1Nv0TdJttERFTZOrUnKI92lxu1xhCv3G1m2GygV/v6r7VQ6qL/etxi+++R+FhiGEBEWONIECO5v62HHJ8Ra3Sr2Rrjz6vvU0oTZ3fu8eN/7Cf5kz//87z99ttcXl7ywXs3t2z9WrUlkifZZubtCbkoejwi9Yi9WaN5e6XjMG4XDAiorjxmj2DrO80WYFqC0Ugy+fn3oS3ReLvugfD7L8CcEs/cOaOhXO6OFvSIBSua4KALb58/5Hdf3/LwyXmXrgvbYYOmKlD7nQ07b4Nkwu5YVUYFlqZ8+OSCRZXi57UngiOvvQUWhA3Rla1YD080jnDYPjsTU555/sVneemVl3n4wUMevPcQWjJb3SAGQ9GUSYR5MmnjeRLu3D1FR/sKR5n53QcHPvwHX2bX9jxeJpY8O3UyQAhvmu1UyfF8qsphv+P1118HNZllo6EoUEymuJlc75RnBxdi5gb93q99VAe3Vj6ytiF7HfYEv6Phq4ODfjgcePL4Mcuy2HP690QfVnxHVPBSiH6o0zdy6n5Rwq6IIPhAJ7E7lkTJUtluZ0pNHBdXcErihfDWk/ba6csfSTpJt+5kbExAISImYpCnTGsTL734Eje7HY8fP/ZqL06O0N5LGH5CHN2urbDJ1ni8tMqdLTx/Z+Z6d+Rmf2TZNUqyvpmTOTFlW4tDwRtYE9qiD29ytoSt6dmdM374R7/IYWk8evoemoXSPDbyRG2aJtBQCYuqinoSVUgIeRJ+5Md+hE9/9jP86q/+GhdPr8mSQYVjtVgyhwiDWhCfE+TcyBla2qBtQpqyFbPvh6IudCHAR3v1Pt7Px29sRTraeBthGIctVBXAeFtRktImHf1Z//mPPmygT7VVjodDLx/13/fAodYG7fbgpvFnbv9aGPJ1ubqUxYIHgSbu5EUoFVQySTOpCUUaJVupZu4NbdKNXvJbHg1E6pmYRxuowDTl7jiV4VCCc75OaLpiQwRC9klst1vOzs44f/rUZ4jBZjMzz5nLqxtIxmWWaYNTgbHx3opxtK0RpZetxccBR7YZ/Qi4kYFu/DoNSqQHDSklkii1LVQ11LWoulSWlZh9pgtVrD8gJysvWWZeI7pZBeb9do9gtUVWamerqnGMN/OGeZ5ZFpPmbMVVVNJQIUjJmmRqa1RtXrKNxY5MXJlyZt5uOCyFJZqZ0+2LpGql/ZPTU+bNzNXNFSTfnwgMHc1K2PdroJPpdsBjZ23VNNUGkuvkQ+/nEI9dvz8RuBXw9082JL212jvbOz8YoxuVxahGpQiocVoFiSiVlKcukdW54z0xpqMMsU/q+WGcq56M9TMTwZ09oU07DdSvGY1MhvMIScVIYCQCZ/8uiURZ7D0lmh29YTAGzXSOmydRVRu6WHNaR7duOSwL3pGgKTXfS69OEHvsz+CIiSGQkz97duTakKZQS7B9sWmW68TLzqvpDO8Ph5EwZisPxzyM86trtFb2+yO1Sd+z+DMS99UnqcW+WdOgcnNzjWCUAXTNdV4htH71JKVO/Wh1VEo7KKJ/gHNZBeDdwIs1CiYxGcSQfZSRla3QXe8LckqZ2WZPMJ06FI2+4s6/1srhcORwXHj69JwnT57aYDLnm/dkaKX2ICJs84Z8cspP/PiXuHjvEU+ePuL66knnaZsG+ASO5HaZz1XyFUCQYCIK03ZDKdeUFY1E/JRHX0H2Xqzqk5XD0jVV9ocDqBpHOlmjX8OCnRsSv/bwQ77+4WOuWiZzaqpVyRo6s9r5j0nEzc+rOt3NuNfakw7UlNyq2iwt9UAu7lnQumxQm3OeWyTKa58Q90Z9nSa0jSE5+Pl85pln+MxnPsv15Z6Un6LVm/Vq8+rjZHZUF5bFPqs0X4fZdQABAABJREFU+NZ33qQ1UzNTMSWUnSg3T/doqhQyU8okqVQMhK60Hmd04CLAELHzfH1xiZDJkmnpiMiRTRK0JkStX0ImYSlKdJuu+xrWdljVJ+yGrw6Qxu9Rcrum1QbcCd8f9xyOxw7kWEIflJvvj1sMIxj3KYXzUasATikxTRvSdELVwuF4zTQnnn/2Gb704z/Bpz71ab7+2u/x+9/4Fu0QIIsGNvF9CfX6rvckbmUwFIzCks2/VK3UxWKK/fEwZmXA4JojVuUgEmVxsRPrO9Rk089Tmnj15Tv8+X//S/z6b32T3/zmYxbNbFLmZFKev5/4xHOn3NwUHjwuHGqCKXNQTAY6W3N48t6Lx+eX/MqvfY3z85sVPdaqQuF6y3EhVNwg+j1HBSQli+Ve/fyr/MzP/iy/+/Xf4+nTS5pK7w+JIWUd4BKYkvK5+zM/9NJ93rvY8/uPdt7E3SjaQCezy24n4rz9ID8/0LCnhNza2N653oMQ8+pJTC1ls50ptXFcSpc3MuRuHOSPDhsA2F1f8/buTaMXuEESD6AjRu6DPlyJQlcXbD10IpDwNYrZHUiyJhaSWmbWhEkigLbPzK45qo0efM3TFsG6lRNiZfN5DKIJ4+kLZVyn0roO761hGOGc1gmOn4CY8HY8Hjk/P2e32zFJBrUScKmOJog59Clb41Nx7lvOYqhYMlS4030QC2h6AB2pASOAUnrTsq3zbCW8ZQQyUDzudBSGwZVvHnklEbRVK2Frc9TASl7hJJTBTV9XGGw9g1vpiIEknn/hOT77mc/y+9/4JjfXO6AxBdJqr2dGtjaW2rzc7a7zluSbG+SVRnenhKQoHWff48rFxYUb7xqhqP8IOc0WaGD0DsBHVg+F5EBOfAdsCmVKpr7gRi/42vEc8P1NLsPYRjIZSjb9yHUnJilRmznt09MzfuRHfoyHDx7w+PEjyvHgd2Ey4yGB5GnwvDr6Cdxy+CDkae5TkJdlGUkNiVDPsP1cPzt+Lv2+9oDNUX/1ZsI/gBcvzvdMHoQOtNaRRl2vzbBRahF+R8maw+iKdk557ErzMqvG/60ffnVfzWbZfbdeALHhWwhp8ipki8BwyMAlJ9/VVllKCAIEfzatggMoBZ6eH+w7mHoQLLc22itIASDEuVZIKhQ1eqHZOvszPSlfBQhC4A/SK5zrADaecb2R8eej0jDUOxLTZDSJqo2jS1SSrJrZ3yEiWujNyT0AIzNNE1Vt4nEgsxb8VnY3V/z+a6/x/nvvc3V5yfmTp053GwnCWiZXxIK3EzmhPV040xN20xn7zQ2tmIhCbdF8Pe52KBel1dobHcGUfZ599lmOx0LZH+3a0KD5bAjRft9HAmfrprVRUG4WQw81A6mQNJErSE0oW54IPMJaQ3PNpGT9KzbIKVkzbJptXXwInTpGEf0VEFNywTS6TXs/AjMhJlM3Enkg86tkvTW4d+8uy1IMPU7JEg9tnkjkW/KXtVUevPsBV9c7nj695Fi8KihOPaeBmP+4c/cMAa6vbigleYOugMw0rcCx+yRacwU3kxxEKi05wu9nurYBWkUSH8BK0oKk2fZGbNZHlVNIE8KRVhc80nFbNeZYxFpAzN2wi9bPpnpDvfiMFsyudY/u99UqhM2BCEPd1rMi1oox6zgBHZLZYYbVK56ahDxlXn7lZQ7HPe++dwPAdrvhky9/ks985tO88+67NkjvaHt0C4StDuA5DTJ0lupAqhw0GompgSdmL0up5t8k8eHDD/s7h6Jgrc31GiLFdQqq2Pkz+q1VF6ck7PcLDx48ZHezsz+TEnNKnMyVL776An/mT32J3/jN3+P8/D0OR69eFEWYQCbfW6MQ7o/w/gcXBrrMmVaLTWMOH0VQ0NYBtDM6HKRElePhyL/9ylf4+tdf4/GHj23vXXmG5DGUWDwpCpJhu1F+/sde4H/8536Gf/3b3+PtX/wtLsoJh2WmJWFSJWulMvzlet8/zs8PNOzpo4bcqB/+H710aBfo3r07/OiP/ggPHj7kjTfftpfTyJCtwWsdvIsb2gh5Wi3dacaZTY7miBgaX0phmmdETZv6o1nk2qnbs6/GrKv2DmVdGdtQYSkefM3+zXnemNyiKqenp4BSytEcdcIb89J4Zg+GOx9TI1TQW890m2bh2X4EaGqZ9+Fw6L9fWkFUOC4NpHmQYGh3KwvBlFNa513GoIqO9Ncor09IMrnB26hraDmP50wJtHngHU2bU1xq1/WP1kwPggJRy2K8w9aGikH8L0l01bceO5oCz+DJhqHzg8Juf+Txk6ccl6Vny3O2AUNlsQQGxdAxYuBJ6h8R6zvNM60WkypzHngE7yrj/ZuvVwSEyaG4MKza1JURpPMkI5mgRp9BcpTQDPU0ZabNhvv375Nz5smTJ7fuWKgGfPTure/MGiEaht8pGgRFIpJru3+H/ZGlVA+YW9+z1qCpDeAQYN7MCML+eOjOJ+5pNIlG4GA6y+GsQr3JzX2UeUV6k58ZKOeuc/u5u/Z0BBDNg6rkCYYHq4ZGa8/aAula36W4a1ksclAZ6zVMNR1BDvpf3NVR4RtOlNWax+cEpUmi0bw1F9wQl5W1547GbCVk4rwp+ZaNuo342cp4UkOYBSv1plgPtzUdAFDneSYxWgUQFC4rDqWeRKlaYDnPUz/jUQ2I9YyKTq3V8+DkDjiSS1mdRbteZ2envPjC81xeXfHw8RNTYvI73W2+at+3prcrI2amqulur4Mgy8KopXLx5AkXT576d5uSSUgs3hpyJDbt9+7JXV546TN86hOvco8N3919QHlHuTj/wPtRxKt2rQdVa+Bn3Dtbx+ubHcfDwuFoFabmKGOXEhU6mDGMDz4cyhDHEva/NaOGJKNOtJKgJXTKvWm75WZiBjKhmi3PFmsat4Z+t6dt9DVFIh6NwSLZwClW545IQBlAQyRZ63OZMp98+RO8++67ltwEFSzsgoMY2gqSlJvLc66vLmkyefLl+y1mB5pTIG8OO0QzS8sYF3gCcYqTNDaSmHVCakGzkPKG1mYmscNemzLpCTkLCwdvvHe7FutuTXw0lOQDmlrboGkmz2deJVmgVIziMVRuYpJmreNOdG+u2psioiqG+5GBHQ1q8dquh3Ru2J9+9uMC9N9K/WznPJHQgXR7RTtEBN5//93++cdj4cEHH/JLv/TLbDf/jqcXl9zsdoMaHbc34pAqDrYKc/YKe22UaklV2Jg4M+bj4zP8TnsCNOWJO3fvcn11xVLsrLSmTGnqCXw3r80CaVXQBMcG7z7a8/Qrv0ctGV0yOS3UNpFE2G4mhMrxuKO1wjyfIDmz3+1BMtqSJYhmdGmaqU0cxLHZG1ZxXvV6pNt73Fz0woCT8GPKxZOnPH3yFDCVNfEK15oN0n2/WtPsB+9f8O1vfsD77zyBIog0ZGpoMsB1moLhMjE+5bY/+8N+/n/TiV89eEqGWJLhdGsvbjJKIcljMl6b+YRaClXK9z2klcc9A+pBnP1YQii3AvuUko1Vj9jdf716MJBzIHZrZ3ybnxzUiywJ33ZLOCagNeoiTiWqLLUiqhyXg6HLVLbbiXk+4eZm16eSCqNkHva7ByarAKAPW+jynR7c+r9a3BAKLCOgMyjDUO+mIK4nHAYjAhELOEeZO7R7Y3hTLcWmCq72IAKYJENtAYGlLob24oGBJkeMC8m1jVvzc6KYyJz42GlHQkz9IIwZ/m+O9lX8eYOX3k+F7bWMyYdPnz7l0sdbRwVmKaW/hwWIxML3lKEjnepqCpMHLiHhpXrrvHRe+UeCRLtwY73Bp/WCIR2WQ/QgYH1uh1Snfd7BqRTrICGqSZ0czvdf6HWzWaxT/P1aW3cYrZia0JwSh90V3/nWN71xuKBayGkip4naAguw595mK1kfi5VeQvUppCXN0NEDWfGXvv3cckvtYE0BUl39Pel/2s+PBxHRUAsgCeNDC5vNBm3KclzGHotRUZInE7UYYhdBb8xhWKP0YNNEaSYbN7Ss4ezsDqrKfh+SdP4S3Q5G1aZhHXrxEnbp+4RitDe1xX+v906j+XvlwE2xx6dz+gOpMnosJBKh5OszzpddV+mNY5Fs9lfw859lYp62tFb6fq6DVRuQshqSJ+INoYbq554EjL8X1QTBmtfv379nd+3pOVC9ghXOstDdfrLpvbek+ZrvmUdLHq9BrJ9aBQvgcNibYxQsWdPYH6smJRHyPLF54RP80F/8C/z0f/BnOD3A/Kv/lvPrD7m6fkxbjm5WzaFP88TxcOz2rzGakVs1amQpcDzsLWFI2Ssz6gBK9bMyznfc2+iBQIXUbP+SCNmDmIpph2eUVAoilTQrTNbUWFvqylhRHVcd+Pk0DW68JYqD2gBW4curQCzuLt3/DvPWE9yUmKaJl19+mcePH1sQ6XczJPZGXGCViLPNhBblRv37BVeRiwTd7nlZFNUFSZNX5eImWHCX08SdzT0ONzuOdWdzCxazCeKAy3HJzAJoMv64WE20B91eWWyS7d1VqG1mI5kX5MC0UR7tCwff55bGuoZOviX2t21x96/9jPperCpsrbUOgqxFCmI4XVD5clQ8V3u5nonQWqPGpGe3jSsGPU0rN7srIgcTyRyOlfc/+NCAqRSCCtYz1hxJ73HJ6nnOzk554flnePzknPPrGztP0kYVWqWf99YiiP3I4KhmXPBSTJ1Pa9CK/Zh4FV8QtECTmH7a2NfMsgjSxBCmVCFl9kvjrXcecXH+iPcePOWmJDR7b1cksVoRsWbrqsn9odEctZr9bM5QMDComarRNGHuy4FZTyxaaeQEJ5sNKcFhWQxsXAFacVWiMpIEcp45Kvzm29e8++S3ebI/clknDmKVryyJkloHVkQyGiDsxwzg4Qec2LpGBBUIackYoV6rIR7a4Orqmt/93de6s29q6FMphdD8BkYgy0pwP5lIfq2VVqIZNhxgJXSjk2+6SLo9GrorJYyLEzchhrnEj6p6OTCRp2wcu3okN+NwaUvGU6xeHhNlt7tBW2WzmfjiF3+IF198kddee40nT56akfWO/TCCqxTC0f919cEltjxp6Yi9I2QaDt071HM0xiYxxAIQaZ3HifpQJgQkD6cLhEShZdvOl270jDoMQgQnHZVTsPFTFZGZNXq6nW0wQSh4iKhJKHWva+X87TzDLOyXwrE0vwSWpITW8gje/VwpnUKwBrOEbJzfANf9MsVwkSGB6GoJzaXg0vjsJhjNS/HsvQ7ks0lHcAJ578mY72Q8y+TTTYsuvrbDYEfQbks1qlidHqRwfXNtwWfOBJ/dAn3pTadrWsi6vLrmfapa8N5RNA/bcs5MJu/h02vVOuupICZjavKdmVBNyimxHI6W1LpxN7QZpwpFA85IDsWbzXPOhPJUrMH638c6DM6z1o8mJPRmLWniiebgZNp9T7TsgZoE11gtqZNQV4mm26AKJFMDaqMJOip0qmvVK2Gack/Ckk87tcAgktt4+7Axphg1TRMpZ6/AyeoexM9oXloj8P13ownSEyAJIMDPUJP4157lO/IjK+dvf6j1/14FGUls0jVDS7u5cwVHCt1BRWBmAexo5EdMJ3xZlpGk+jOZPRd2Nze8+eab1kQdiYBayV+A09M7HPZ7nwYpdj8/4rjsjMtYPvUJyNkAg1IOTtMJ4Mf+F8FFzh5YeNB88uzzvPjFH+bul36YfFVov/ZVppNT6wVJ2Ti6tH5f8+w+yJ+/RcADvRdC/LujsdAf1BKVuBcyhsOYxTMf1ZINtCl1IafMhsz+WNBkAVKScbarXXCT6iVD60rdBoYk6XbKhBvEe4bWDf+2lrkHqNXoSs0OmKqF/kGBGIIGBlJcXl7y2muvcX19DQ7mWOFRqV7NtT4UOD3b8uqnPsXh8pI3Hj60aqpak3tWC1iiSGgIb0HdtsRAutxi7xP7tmAtyBPaChOmSEOy6kSVo62JsKqUDioEsXMyIdrImOLVc1PhL//Qi7z8/H3+/m99m+9cJxojmA4bG4H8esJ08rvdolrIyt75vgmeuATYkI0OOyrudsEjeYkhc6MZPuiAQp5sxk5SmFKmaaX5Xtl9N5suMqhF0sILN+egY8FYC/rMdMufNFfrOd3MvPDsM+x2Oy6vb5yWeXtatHjTeSQ4dDtkycbV5SU5m156VUV8knTEf6FgpCjTdkaTMFHIagh19er+PJkQh0olM3NxM7Ec4dFlYlczS7lGtZFVyLmStDkDIND2iogBCK0okidygjRlAypWPmqeDaBclmLovW9iEnj2/n3u3D3jnXfeZalDRaxXiWk9+a3Veg5UhAdt4vHNYhPL8wl5k5km4bBraDMlP1GLm6KnI+Lmj/PzA0lMJlnxuKHLcSXBuXcLZTnY4VWTdRLJna9WS0Fzc+TFDHf8KPRO5mme+eEf+TGurq956403LeBA+wKZcoKX71bZq50h6YGhuEGJy+KFkf4+wQurjoTnOWNDKfyPBCLeFPEhCakHhTDPG1765Kd45VOf5tvfep37dxde+dTLvPveBzx++tQVShwZ9wYhEUFycpkuGSVbHOUSD7YZDtroDJNzVQMRsAjWDEy2sqx9iF+uSBQiwfESUinuCKBz+8TWEp38opvKjKYJdf1WVe+iJ6IKOD055ZnnnuPDhx96OTaMpfTNtN6NRPPBT5UG89YGJbVCq4XJHsICe6UHhNr3fQQoA/lNll07Z95ZbUTDcEo5fLonLNolLw1VNifmLsTOQwrjH1QUD9A8iUyeJFhQrePzx1ubXq7zJEUyU0rkKdkE2+bSgL5H8WOa8ybNZRKDldQSeFncmtbomvjrYEf83og/p+d/vSqS08Q8J8qSLPlNpgBRq1VyetokVilZavE1GhKt9h2eSIqAy2QBxl/P/kxa0eK0qM4Vjx5mR6W1malTJdkiWfLY+0VMyaapo58r5Duk0Y6HA76F/c+q6i36QwQlof/bK2FtnKfWGsd69GM7vielxNX1NbXYILFpNgnMGFcvYW/8e5Lr4Md31+L3NIL0ZI20EeiFApA1gQ/7F6ZphPH+ZW61mmpv2I3KVQwOkTHdpCcsESUl74nB/741fFkPQ1QWVI1Dn1rqe0ESZDI701b2KKmynW3IWKleXdMRk7Rm+ufLxZWhhyqIuOP0NTk7u2NTCduxB8cxDAkN5i3G9e9VjajOmg04umJMVPBiwUYTntsKD04OF5d869e+yv2XPsHzd5/lYnfF1cUV7VBQTaYMk6xy0o6to2Up22fWVSJtR8kaxZNEQ/CqopFcRo8497raa09mc/azIRybNdqRcw8OkeYzLwTUxQdaA61MyXW1faW0YQneKpG4FcCL+a882VTc4+GwSkomCyCTcxmj/yjZ4BttJgCwHI/WQLyyGfM0kxLs69HvmTVYKoknF1fsrm4oTUk5ukHEqbfJaSjDL4btDTtt3Y5m0A7lQB/SpY1Mo+liASGCyJGoTCtRxdFRPRarsKjgWjbKnJRtzjz37PM88+xzTOl1WltobnMDPImEPBJdq0Q7dSpnYC0faUMfzTyYrYvEL2ihrZWR1jejxSmWPPfGAnWAInmQ77GOnzLzIVNGQi45e4OkRkLudEP3f0EHEbfNqnRKlU1KzX0+RhLhanfgnfcecHW9BxlSzV30QbBqI1jVAZufE74wuPvP3t3yQ69+inc+eMAHHz7GhpTPnV7Ua0paEDKbnJkScKikyYGEpgY8KBxL5cn1kSe1sFukC5Pga1JK7b57KR3SsL1QUBlzImqt3YejSlkWarV9L9UoVcnXqDXl6cUlVzc3HJf4rL7llpRr63feaIxKqVjsWyMxq9y5cwdBOO6vmYKJQTJxEhlnYA3u/GE/HzuI7y8cz61+mAiukV0wu8nJdLcZeqAZb2LDA+bJgtgx8jxKwAk0cXW9Y3ezrD6/dmSqG2cP2ImsDkVVmKfZF802L6aCRgCvjmD1gL5XPS2KPDnZkiWx3+8ZOtyB4EX5RGia+Na33+B7b7zL40dP+eQLd/jpP/Zj7G6uefr0iXfXZ8/IBy9Oq1I0mm7NKNh4ZBtwJVRETCqqywTmRJpG1uy2EAtOPYzt9nscAiv3x98RH0Euq8Yf28MsCdpkB1IUm2SXhwlScxnTnBHJLKVQ6pH97orabHjPkDQ0lRpVYwYVFeqxUiuQNjz34me4/8w9PvzgXW4uHnuCYEhE83KX9AZUq750Wc/shkzMuDuT3RvK7N0jhVmxOnqCtK4m4Y43zt2K4jsM7ypo/milQFV9VLIgkrsBbVhD0BTOyh1RxtATqzrRL7yI8fA3mxltlcWTG0WgQeuqFzHl0p+x0xBKbHx/19kRz1oa+xqVr0rKpp+NMNAzBj0nJx8UI7UnTP08eTCe8wRY+Vb9zmv0WfQqjSXRhtXYHY0GVgFw1D5mBWR8qmh3QsFGWKGsemtD/Rn4vn2K5BgPbnJOPZC7VS1gUGLCYCavrKA67tvq88OZdjvoBn5d9Vv3U8T6RbnZ6FtBGVg3uQeShe9J2LgRjoonk32qX7dL+CA2T6L9s62aUAzhUaeDID2hsCqb93KogRcRkNoAIzqFDazkm0XIArUc/TsmJE8sS6FVr56QLHgR9fcSgnUQknrn5xfO640x6e60vKQce2LNc0I0D0diJ6tqilUL/H6OI23odfyUwuWDB7z91V+nXD9lvnuH7732e1w/eUDb7UEq2ztbqmzYX++J5tXg7WdJncMdsr2ycojRyLzdbKi12hRUv5Oe6xHSy2p/ARFhuz0x1ajWehAeUqlW6qcng6hVjWPSt503+5bg8QPs9/u+NkHfwL/XyBCJzdkdjscFGu7XFj+n/t8lzp1f/J4ueM/Qyq+2Yve8NVMZKU1pB+Xtm3NvwjhxuoCaiowafUH9jDSnaNh594ATa5w0YYkGUq3vCD9/huMZzKNYwtMG5cmj6F5djv9vdAthQcitcLFT/uHX3mIzf8AHlwVapfmE45jQauDIWOeIH8AmkuY8sZSl+1urVCdPsP18pMxmu+W4LAbmQL+Tdr5dHQerNrVW3F96bKMp2t08oTc6SJps6J/16xnAgqqpLQVwQiWKjL1al8y+tlb8rLmddRBod1jYL1fmy9QFQGiEXOq6PySAgrAtAXJoq2znE1545oynj5RJG1Uyxe+mNBtulbG7QVVSnq1CjlCLN+Vb0ISnbuyXI71Wro1JEqLWuF9Vvd9s5ng8UHrD7jziBQdQbOKxI4ceq2htHZRxmgK43dkdj3D0Hc3rc+UJku/1WtWqlhVNU81W7653tg9+36plgw7QjLku6r1If9TPxw/iW+vZbNBTwohZU8WekNRSVgMRVp8hrJ2cNRJ1mgCJGKGtrfH2m2/agWkVnO+YRO0a9wbS281/9i/i2bH/vnKrLAgjw4nANnjcUSobHDj8gONJSgRy1vdsXeDvGD+9Nh48PPJvfvnLPL249mYK55mRjEMvg5dtJdrgyloSNGc4PdlSa+ZmXzuCaYcuGqZWY539HVp3/Ld/kjuE5sGqIJawqGWZ02yBXllsKI2KN5FpJWslSfOOe7vEDS8Tud7/shx5+nTxwQ72ANEEZIGul5c0wB1hsz3jZ37m5/nJn/xp/uU//4d847XfZFms3GW6WaBaKM32chjk5vvq2aobNvH9XQfd8f0wqkZ9upoHYckdG47IhiINBK9fe3NScEajIchJBZ1D2JUL/JBHH0PKRsWqTa1xNoFxNul7F8/YWqNWm+Q25UwT41Wv6WF9j5UeyCkjlOiJTxxdi5w9t7FnztVR09gXX59BL/HPycFYDqTX/lJTRUtoMGdKUW8YFYTZF8ADHS/fBo+470+yYSR37tzpjd/ihvJW0pRSV7yxe+10hD4gbFiXznGfYlKnU168KTCcz5re81FaS/Dtl2XpQ4NUTV60p2+Ooq/phfZ9rb9bfEcoz5RSP7LG0mP1AATWagRxX5GoJrRbVaA46+uqQ0dtui77qmkW8cZz6IhZyo6I4rMSPDB1ipN4hJTUfUs2GzDNE88+c4/zp09MWGA7Mc2J4n/WQkSlNJs8LOI7JXKrWbaU5fv2wdbMHVdb9y6t7TW3fiLwCBpPSCJa434e50ng5nDJ4f03uLh4z3qbdjvK4YBSOJmEz37yOUrLvL57n0MZ9AwwhbCgVYS9ScKgN6mZ1tPtlqUU2uFg8wZW5yveYX3u0ABbotHTgpPkdqOfDRjJXSSTKZLZNcCwWhsdlazO3VV45v4n+NEf+wneevstPnj3bXS5AiqBg0RjQRKTQEXGMCAkpq2KTSmNICu+T0zyt0lUPK3C0/dylRSKDFtrZ9wBL7FKdZOY/I3dfxn9Rv0+N7cx3kwcHPWoyAI9cfdY3787oWniRpXl5prcrlkUkA2Tv3Osc7+3SUguFZv8uSwR29J2bdXTcdtX9yqyemVJ7PPF97QEtUWMrZDcJyRszonkxGFvftb8i90vQdnOG8Cqf2HDYuBd/8xq8olJHUh0lxpSxnbzzYdbDGfvlvE4VgfnPNYlaHCSEq2YUpK9r8SRpKny8MkVX/naaxz2B4pmNtMJqQrHw4ITKmz/1GhgZ3fvcnFxaSCSgqpP8lXtIgedZoo10EqTUYX2/pQpT5RUkFq4c3bGp155heNx4cGDD2wI4hInfdheZxn1im+AVr2czLD5ydOIW9Vqv2c5wzxNJpjhvrDHzQrLcdAQczIqbewt4fO1obKu8Px///mBGlvTLWPkCLX/ftWRJmrwwd0RQXPdYsOZUe0ozEcNnJ3qxbPS5B/ox8z5Yq027773348fVbQ1SlncIGicJn+a2xPsooSH3nbyh8MBJHTxsSClVQ++HJlxSS7TrDend71f2H/wmNYSKpMfcom9QQmkaqBGAK0W5gnmSfj0Ky9wvTuyf/exjyaWnh2HUV4rJ8SEzEgw1iUYQ8JsC05Pz5hnGxTVio+vj+CzWABdXYc2Ndgk5WS2bP1YCscKIlPn+ofiTd9mFGQY5Dgftvx2eHPOIMrNzRXnF+ccDzbgxMqArkPvTckxBCgCgDzFIJURmMeewkCdhuMayiuBMOGGeL2WgSR81AXaORuBvcVaUWK1BOvO2R222y3n5+e90z0TvQyWDNVaRuIpI7GVNAL0uAPVDaPRl+hqB9/nTGQ8U9Nq0YPfk+aBVOufayXBSjWaQDIUum9cv3cyni+qNDrWKTiyOeFlcEOghEZpluxtJkM7als89I9Sfr61l4acKjc3NyOA9+R+PM8I2uJdUko2dI3Wz7WdCbrzH5Sa6JVxEl0YZHdWOU9+j4qvvd2lkHn7vnPmDWYiIxDbbDYE6h/JSNhJq1A4dtnLQtHUtg5Ipd9bxaT5aNodmxL9P/L9qhJEcDQSwx70EMmQJYXPPvss+92O/W7vGLLVq7IIVRcycHq6oWL3vVa31QbX+XloRqExrhYkaxqT4wKtuoMNXuioSOAJZFQxZbWO8Sbx71HNw8/KsAUjCa8a6+jBTlf6ke+7I+MseTP39Z7DHlKtFMUmKGL0sbI/cGh2p0J1InxUl0KWdXVq5b/8ew6HQ5cVDbsUZzeS9eiLqrX2oXJrTXArXkeU588u9LMTLrHWugKdVmDCylbcsh3ZFLl+4qd+ir/9t//X/OIv/hJ/7+/8HR4/ukGLofydN93PZFQFDBCwu9BAZrcgtrdTzJiIs4HTXmNvIrEHhha2g2VqZy2qas0QE6ZsE3e16v+Hsj+NuTXLzsOwZ+2933O+4Q41zz03Z7FFSqLElijLmhVZksE4lmQhhuUgMgxDThAgQf4EBgJk+JH4R5AAToTYMRwrkK0oGhiLEklRIkN2iyK7yWY31WN1VVfdmu703W86w/vuvVZ+rGHvc6tEVp9G9Z2+c8777nfvtZ611rOeFRaaPTAk8xcxBTIiiQPwPmq6C4CMTqeolFFF9einXIw+R4C4OlOfjO5nyRMl0OyNAsLweb6fe4UWkGi23O23EFGaVvheu19XFpLkw/FyVM68idV9Vxr2VmwSgqXZCClbcCN9ndnWuGSdUJ4yYb1aYb/fG14zWmo4QkE1kJ/N1zcbaDT8SFRgfeq3PyON3gj7Jthcz0icUFCwTmuQVKtGKh2mQZCRsZ8r+OraeknU9zEL5urJQBUWgScniPDsU89gWRoePHiA2hiUMyo31OuNrgVpheB4fYT1tMJZ0Xk1UorRf8z3AHH/6gNdrc4DLjrAAN4QHBVC0dlITIpBd7vdQVDnqkTkYI66XQEAMTVG0KSVIKko8Ar7b//6rhtbvZzkeR3/NzfKqahKjYN0wEvAgCsXNG4HnzuqEhA5T0lAuVh2xa2+6bayGRd3W0RwRQfv7g1VHFswd4K9PA74UAYNnfUkCFspysG+NwxBSz8lZeM/6X+JlGeXoSWbxs1KXHoNSXJki+CGwJ2sr6F1009TwXt372FePANDprQz9KCLqzPYGqFnYQ4BvFNGNOA5PT3GSy+9hNdeex0Xjx4Z+KiqjiEAM4GzlvpzXmHKjI+98jyefe4pfOPbb+Dd++cKluAgBrbOnmF1sKQVFjioh76JhZFQsOy3+PUvfg5f+9qXsLk8h8heec0ggBNU18ZkCkvPkiey5iBQHCh3DK4xPq6By8wpQPDKkV4n2T7uyhtAlHOBwfghnJqDBxCCFpJLViCXNPsE0UmkSYCaBBBVcEglg8nK5c0qI83BDB18XzRE4/3PdFQ26EDT1l5YAb0BC327PTDbe1GBiGdIcb8Mz8jb97LEs27SdB1EkJgsg0tI5oyzca9JrHPJekbEQWoiZBnkYw307+v+AHA5MneaDXAI9lprEZB3A0iANUV7BU2GIGWsygxLqYEYt6FypJWyJRrveykegKm1dHAUDfniQHLoF7La9TjVUkx+8iCLH9H5Y8Epdd48W5DhmV8VEDjUk3ab5jbSl9KB7/HRGs8+8wwePLiPzfVWM/TJqxXqIKdM+MRHP4Ltbod37z3AdVuwkNFUrFKZBcBScfHo3KQYBSQN86wN0hma3Dg6OgJqw75WU7PQU+0AQMKQoHNsHw9QhvtKlgnzOQU6TVrXMXtz9HCGvJztw57U56h8Y9M/IIlyegUEygVzY7x570wrCI27Pxmet9LgBgqPR5KavoMQYa4V6+xUsR6MemUnWcCg6K3vifGeuTGUHdkBk66F8/EpejtGu/D4Oh5UfjyYIABSsdtdo9VqFUqzuXZeqgWsri1PRFhPE/a8w8I1bL3S6vR1dHyEnDMuLy/12ownLRaI6vXoWXTZW5GK1lT1ZiLlZLPRcPu5ynA53IAc5v7gVTH45YrZOcMLBroVZPtsDwHlbD03ljBKU0zc9PKBSKeOxHoCQWlZlQkkjN2yV167T5F3uxX222mBTsXpTfg90YJOk4TZc7uU/VINXus9ucqOP99aNcseSSDzhykfUtEcmLI4q0L79VLOiCZc/a3uoeT9KTrkyJNOTgH1/apKR1YV5hbXxhE8eBJAqyy73QZgRkodHyic0WdX571+j7hkuUSApiqB6vNK0Z6ci4tLlcHUEawQIaMWaQI9pYTNZoOvf/3r0RN4dHyMXBN2bd8rJcMZYVtjnYGA2AcHA+0s8ZBTeuyMWQXYfMI0rfDU00/i8vIcl1dX2gsojom6D55I7XFNOrW5CLDGh3t9V8OefOP4A3Rw4yCaI9M0yjo6WElYrVaaea0zEEDkUGLNvsQaVgzpBGDvpVF/6OE8vRCYEqZJI/hWW6f1mCGuNlTEgX1kuNweW9DxuGMGCY6OjvCRV17BxfkF7t27b6DDHqiBxRjuYLxXgYG7bMMRLELNWRuaWtXNXpmw2TVAFjNkBSw90+KZm5huSQSYBrQ/lzH7MlJuIILr62s8evRIlRpCCUJvOqWs30limRPlD19dbZCL8VhTtoqDO52+Dw6eHdyZIO43GpnRwFyx2zzE5vo+iLk3hLGAYEM7YAaEBgpM1kI9oAYv+iiSd/4DXTVH7DBZ9syUjgAclPQPstqCvpYB/uw1VpbQgcfV9RU2201kxHwwmargMIoVI2RKqNxQrHekkVYeCP3w+7ODYDDUDsYRe9sBboAIkO3DPkAMVpIX1n23Wq1RK4Y+EYnP0zkH+hkuAafPuIPQkAUjggtuirCOVzQqGFglA7WhMmnGnyyY9/OnhWJzpYMd8TM2gjz/N99LHjgeGNzOyxRgyH5xrJn/XR74hZERNXDl32WLEwA7nklsbbL10uY0DwIsWR37Awa4RnBG6YPlw8b778C8X+f7zvPwsyJiTpjC6TqPVwNYBfy7/R537tzB7A4y+WRcvWYP7JZlwTzPSnWBOrCcNFOdYn+KKZqYepVl85XFwii5oKwmJCsL55Rj+mtyPxEBqAb2cICZvKriAZwFWPZ9IK/mHQLTx4eijYGVgyNNAus5ZZkAJB2KR7qHFwac6tZVig7tKtv5jWdotp7sPWIgcrcsA3Ad9oHBsU5zaFiWLrVMZotb8+9Ux55KDjPgIDElpUeM+2O0Ew5GxgpABoA646tf+iL+t//r/wSPHl3g7P5DPS5NB+R08nR3byUXnJ6e6ocvewAU/Q/+2mw2PSA2uwLq1Bn3X/04UTzfUjSLv93tNJVidnBZKkqekPMEcEUfnGeVcwt0MnmVznoLxqy4geExWceidIZCCZkKVlPBLJ3+5RlTcbvw2D6IisjwkoM96DS43gifcrJJtZ3emy2Yy7CgjCS+kyhZspOHL+m+tyd9fCaC9hy4vfaKLJFfgduauGCtGqUU54ebctB1T7uylxj1zWYbwKhV8GGSfU3CRkeQa5x2bijWGqYiDjIwJVQViuLE9KSB030igWJgn5FMZIBxtd0qfYg6/VLk8LkBSsFkm4+y4c2B/3HBgTzgvXiej+GbxwPu8P3je1JPQp2cHOOF55+HgFWjfzgzh35uqIBDh4yu8oeD598ViI8MCiwr1msv8KxJa9qAojeT4j2a+XQKgTdrWBYteVe1RjZIoa0Sm9o1X3UiaAfd7mzZOEs5k/ETSXl56KB/fDCAgqUG6aUtj5KGlz8kIsJ6fYzv+74fwNtvvY333ruH1gTuQx04OQgIsDLywgnhqHLJ8MqBTjjVcc+Z1mDqWZ7RufvAjpRUDtPLVr7Gj4NPz0KKMDabLe7ceTuyl2P2phkgVN1pPbz7xnjn7kO8++AeJK3AnOOzYi889sopISawEg0HVdCz4Q76mlGUFKhKghkKXctIrwhCZnIEuzoc6vF77VQpNwQijNXqGACsdOjNKofO3gGKGAASDBx4cqCMUIjRoTJKl4FlOyglLAQ9F00UzJvhmlLByq5v1pBPjbQto3NCvQoxOoUIQEbw5sFpZwwZlqPg7MKMtjaPm/QYDoO9ngnV8jEJejk81l2lXH1cdDanIVxtDzcUNByvVnj2mWdx/9EVLjZzGNNm/OSctFkpkfYLeJCggzdaUAZG4wbIgXzsoVM1yoxdZ+eWqlznQRZVJNZozPSPLw/kHGzG9zCbhrAGYzlnzPMM1yEfg1rfSzTYGxEJfuX4DDGck8eD4bhPKJCGOZvqUznNabnxzzlZRuvwvtzRbDaupd4DpT4xUZPCr735plWbkg1oywADR8crMDP2816bRe1ecip2xjwrrKoOV1dXWFhtuVdfNT/Qef8uA1sbx2RRz4CN5xjDvYaTG57pQbXDP3ugmXjwJsTD88qQxsq1xQyAkWlCE91nOWsfgw4J+wAKn58bsxMgimmpgFUd3WbY4RTBIYc2AJXpdg/3G1Vg93HiGXyzC8M58aSMK6b0s9FtBA/XkaVhc/4Am8szBW1CACcdjJdJGx6JNGFDCi5ra9hstqhNq7RKWWvKCx/WZ7GA3fdvp9w68NGbGkfb+zXO89wTM9CEDiXVvF+tj7DZXCmOGPzLgS1gBqQP5YugnBDAVACjo2tQmgRIzKh7m1xtz1QB4wdTofr3WRCaEnxnjD5xBMtelVEb3DGR3WVPjFnvwzStcXJygv1+i/1+q2A4Gd2HemZdTPY6svgWyLv6TAqq0Vip8d6GHGsl4s+lT1WVoeorXAEx6WOI9f0Agd3M1rqvIy89QJCE8eSNU7TWsK0zGkyMIEH9pqZ9ILDPEEEy4YTHzzVZksmlN2HQXzzZlQjgQ+o3W9Uhp2xVC0Krzfq4vMrQJ6v7uQFw4GvHvfZBvqM/+45RmBnX19f41re+hf2yP6zWmn1wLRhYwoGEkRkgMBaS933PB72+q4mtTvgHfM90cHVwMwMwGW9+WeYA8il5I5gBTSCcE0RMT9WNpN6UR8hEhOwSavbgXfcc0kdl2x8HozjqnCKiHi9feXljNC4sFjmCcHW1wW988UvYbDaWebP3WanUQaCKqFDPlMIydSYNRyAs+8UOmhk5W7bqTBmrPvi112UxwzFE4c6zStaICQRnL7JdFomLDDy9x8BNLmpKEhyEVzABCyWQZGSZoA2yeh+JHssyQqN4MRWVnk1wIMnxnBQ8EwgFQQNhVznRNfLsgfdAwGlF0g+IzwjwjDak6147l9DIczHdbqxM9GszUIUhq4Be8vINT+5NoeX2UZFEuc+WKfUg1Hj+mRJW0xrT6Q0cHZ+CKwOXV5j311rmDQ6wBgY59S8l0oCUMFQchlfyQV3mnY6OVlivV7jeXGOevefEmpHh3GE5OJu9AZ0ioHrf2SUF8iTaAKl+zvm7Jp8IpSWcnJ4iXe4hMgctrbFTiA4VRdwueEN5OP3huXiza6z1ABLG9fcJpaV4M6mD9sOsmdoFV/Lwkrbt67HFxr/Ogj5hQUPDer3GjZs3cHZ2ZkC+P5PR6UMEzYfcWIl6zB77vT+e4ROzGTTsO4Y38yICHredyrFu79sbQbmzJWN3kESmmqTcd4E2UPs8iGZO9Xi1wo2jY2yvNljnhJoJ272o/F6ioFcJJCgXWkEjtMWuJ3kP0AhyJPaO318pBaWUWE8Psjo/XuJ5RC8QH36GrxPQ7X3Q5exxEqluNpE28q+OCvYzGb2gIonR+lx6V3ReAJGpqImYlGdPnIx2MNTH9C+UNuC0qKgujM+5ByyDqYl7CCUQs7E1AomBPhjZDv3T5Nr27LRSH4KlEr7L0pQGV2dABCVllLLCQoQWyQOK9UvQ59PEVGecWmASemGbCAB3u6gBsVMc+p52cOk2XgQREGtiwCtFbICrYo9tBzx+10S2LfQamiu7DQBFE2WeVPNeJRuqJEmpgQfn3c6iJYfGYOqQ+uTyhF75Io9QwpbrftAqVMkr81WGMZAA59ubgICjOaKEG6c38MrLL+Ott9+CtIZl3scsjdhDUP51NJeK4yjNoo8/G5Oqg62gvW1RPTIMNNngO5/+S/ZMSbSvZppWqkLFEvfovXEa0KCvPzRozwQ888zT2O33uL53z/pDdf119yrNjcUq2SJGc0qYklIwa6jeEUrWqa1LrYgeAF9CO3aOGcIuMGMZGp1dypaoB8RrG0JaF7Z9dRi8HVT5eGzCtk1te9OrIKVMAIlVN/fwYzr63P4iCOUufUoNmZLKcX+I13fFiXfnFAuGDnwf/1mP8lIyrd2QRUu25xV8+kZy8DdmdQReWlZjp81bZgTRnbkbg5CZjEhcr0fgm4tio0TwFhUB/8nDbOdqtVK1ARbs9wvefPMtU8DwQQemZz5E7nrJpAd/BLspQ6px0Bur/rDRPgTQpj3RYEbpI9r5nnPG9fWVrp/Ta3ICoQ8oCgDtkbittQK3HlljOIDK52ecnp6gsWB7PWsTjRG7GVPIIrnP6UBkKAsaBy8loxuYaVW9e3fhMLCrEmEMWP8BgSmjiW5cB/0flOnXZ3YIcPXAJvecsT8FPWho1Zs/fShUHg6Vyf61Xj3yjCBRd9JeQSLqzT/iB9eAScoZayubNiFwIqzzEZ6+9Sye/8wP4uM/9qO4/+Y9vP4vvoiHb30bLNVAvFcChiBYdOrljRun2Gy32O13auThPoVRoM2+BEaigqkULXGyJToS6dS4ZbZ76rravoYHQMcB5hAoklMcLKBcWdDqTUQ6ukAN1vW24tXX7mC3NDSX9io9c9JYy6ueWY9FRAcPI+8fiQ6UL+Is+16IZ6PPy7OutZq8qQECbZzuDZPN5Urt+3kAY37+/aX7Xo1xKQVa1docUBXGV08eOGBVp+oGPrTQoVkgsX17mAjBY5/bn9eYYR3XZQxuHLQQuTPyCZaavbt56yZWJePB2RlmZgNk2doNvIKox6pMwPXmHIuQiVrZ4C13XKIgwjOvlTVIF9hcDsuY3bp9GwBUecKBmpnHWuvBPhSWwbZoprOvmWbpWquxZzyYGANAd74+3I9AAJtkKDUDPxNyXoNbMtUQfZ+qRKmDcHvrE0p9ZgRRp3RoRtqbro1Ly155tMcXz8T9l/s6sX5RiSxjAGXb6JrVZ80eW2Nic76+JKTUf/4wG3wo5ADS6rTaSSCL4Hg14datE5ydX2DPhOq9L5QsqCU0AQoVrFYFO1PpIVjw6EF5VAT0qxJ5BbH7xWa2zkE8M1RKV/x5UAzJ4dZUg56gajc+/Tp3n+ZBKUQzmJQI66MjoylpP0RK2qMxz7NSadnSY0JoTnekpFQaEaAqQNPgy0GcB0X2LCKIEhsQ1pOLsD0vICQbpLTb7XTJ9VKtqgSQK+dnsxZWiNpcb/Cd19/AvN9hXQqIFuxr7VkGGbL3FnRqZZetKdp+zm29aEIDFmhGoKUbHKc3TsGNsez3WtlNWfeXV/7tHOi8E/dRyk9PBgyasE1DtZvU1UIDcOfuXZuamgGxAUsQ6BwErwZnq6h6QtL9DjAVbaLWydisiTL/R3Rbp/5R/6xJRd//FPMChAVU9OpUCEFASaUgvRIEFkhrkJSstwOPJVscyw4BuUio/sCAviddg2Idzwzxe2FruiaCNSoF7pjWJ/gwrw+vTkMq6BnT/ZLzvsQ2sxqkaLIERfkzmGzugaWDXf85ZVD0G/UMk0fTCrj1sAk00qltsQEcLp/lmRAKIwzyUpsZVF2huM6xnOTGVbNWeo8lZyQDeS5DWG2sfcoqZeT68f7xnk2OZsxkpW7jXXrzrBo124QRtFhDELM2QFEBqCDlFQQ1ALEAKKkoDcabnPRM4mi11kM5Vz1IZuxSTliv1lit1ri6urIMqN2zNfqF07HNKjwMkDDj5hUQB2cclCErLaYSwYg2vJmzkm7MATkoVeeU43B0J2bZALueaDQaAY6BCz/4WuqzBkjCwPk2FZA8RfbVtkzIgLoz0oYp56FK7A0ydNOBmQczen8lFazzCkvVQSrCwHq9wvPPfwR/4E//WbzwE78PV+9dYGqEL1/cxTJfA0WwmibM82JGuBsJVzRQjXyliFDukWltFSVlEBUINeyut7i6bFEBIkxYr1YKukXBmnffO/gBFBgxszY5m8yJK6NAnB6SMOWEm8drMAsenV+YE1VN8MY6GKktjBbVJA9+Bj538r0FgPujjIw7TKnD9rWCwR5I+TPzyYXBXybPvnKAxJQs4BoSDU5PCv65BT3k/seux6+XLNAz3IOlVmx3O0zThJzzQdVvzPy4zYPtEQ+gk+01NrDbf8Z0tEcw6+AU9j6zT/4ub7RWe2ZncQiCeshn3y8aaO92G8g0IWflE9fWwEigpJOQmzB21qzKrSrVQgB4Q6Z0egd5kkA6aBinQUO0AfzZp59B44br6ysD7wJvdBxfRLqXBE5rkwCnOWecnp5gWRZsNl5dQ3y3Nzd7tt6fhf5c7gEh1GZtdzOEU9fjNqNAQEjoLVa9ZMGwQbr98XJ46KRLf/KJkp1d23tEfcqjB6rDMxIDW8KWzcsJpSQ8eesW6jzj/Oqyy9Xae12pZJRTHqsDakcsu0gEkmz+cQISY18XnF0+wq4uaDJBqNjka53Cal4dL3/k43j2+efx5S9/BddXVyBUCx5cC1swTRls68DEPWgxfxZ3awAsCrSsgbT3XXDTKmKZdMChTxoPGocB6n5O9VcH7LXWPn8mkk4Ue1cMIPrZOeBRewCdDvFB9N+4Q8qGyglIYp/tpplV3IG9ByPAnAYgZH7oaH2EZZmVfiwNLA0l6bTneT+jJIKYIlzYBLhdNlqgVbKdQqLUGgm709fJnz/Cx2fTUz89OcE879GWGafHx2BmXF7poDY11wlLZSxtp2eWTA+/P4YA0Z36qOtYmXG9n7Uhn9WG9AqTnUVjZ2SbS2P1PXh12P1TrRJKegKna+vDs1EG/XOZrTrhz9lwXVIqXy7eF8QgJiy82L3a+voiSU8GEciXFsBQhYH7IWhQQohG7GiOT6kLlNie7w/VhTvUKdokGaShYvnbvb4LiUnr+JclLtx5vCKadSlJ+an7xSQeCQi+mP2/L5JnaJVLGPGUGiLYTRG7yKQ9fP3DjZs38PQzz+DR+SOcPzozbXMrn5tDFHh2WxzLIzL4iSA0ZCE9Y2HgolgjpIhgv5/BzQ9FN4psUWi1LD2RO1mOOyZii5HF1CnInAXi+xwAA7DucnMUpPe8XyomZFBaRcMji3IIXX7ND6wGPWr0590Oj/YX4XN8iEZrFctCcGCqDazX4QhBXp7DEBHbzg1VAd3czj/2LnYLSKGPSxuM2zKDpFqVwfnk3clSgkXzAKQ7Zi9bchzM3B06nOepQYZLzJELNwS31rSBDXCHIyPjBSZbN9LKhwg0+ia/f8Rhjs9u/Sa9vyEyMAzM86K9GEmQIZhSwtHJCV545WPIqxt4+rkbeOmjH8c3j09xLmYURIxfLiAbaEEgNDRs9w1AsTPgGTxvEOvZopSLBZctMhvMC7Y7BpIgI4HR0Jh6gcjW2aVU1chb6dmGarGBCi1ZC9pa+Zk5Jc3GkyleGG+7CbQq5JU20fJ1SglL02C4wg1dgytMpACACnITAUzKwyS7EBZRHeBMRlUglKz3U6tFHtaboM8HyMnslKAHN0M2JKUESdKd9/AiGrLMbMpcJpU7Toc9BIu90VJEM24insEFKrcheBl7PWCbrQcMIBxSNPxzh+sTqCZxTjnkCiM7ZHhDA6mmtikR5rrgySefwI0nbuLdu3cjGIhgnQCmhG1lAHYWbK3clnoQtF6vDTTVCKQ0Q537vqkNd96805MxtkYK3PSWHdxUG47iQR2MW++vUibMc4U2gNaegJHHqjixruaBHL3YwfbhTMItaBYSC+aUD8+gDUGk7x1ybDBUBAGVwrUg0YFNp37QQRUqFVU6aw3hP2CfqT1gTUv3aCCuKDn1LColBT9gk+VNONy95mfFrsGCczbaScn6XGsj7JgBTHr/lkVWgM3wQUQf/dT34vt/4IfwzW+/iYuLKyjP2nsqLDnjtEV4YHV4TToPRdE7Q8GzDnkssSYEC0zhNEgNLvspGAGqgSXz9sKMy8vLvv/tOjabTfxegV+v7AgQvQ+a5NGZLkyigaaBv17VCIfa9/qwV8MOJFhCqD9Tf8YpKX3s+RdeQKsL3n7njumOO/UUYDDy6gjrk1PM0oBlNn+s98/CJrXd2Qo6zRa2f3vQAguiDumKgDRGqxVnZw+C9lamyShAPnSLAMpIJErnMp+RXS5UACRCljQkJbwHwc+O2RCTXfYL88nyPudGwi5rlr9Zc32b56AFq89ysZIUAY0ApqhmIiKOA6za7/mCbhtFs97QgXUpJSyL0vnYqkphOwe/IGD4PIoA4nYe1Q8f+hcdEjfYDQPwHgy4r9JAxIMfQBLFhPDf6fXhOfHOa4Xbwn5jvjBHx0caXdq0UkCVQdjK6DpQoMXghShbu7EDwij3jEdfAIECA2+yqq2BUkbBID+nXkIzDlamy6RTzMYSuAh3YE+ioEU0K7larbHbbbEsPvypAww/iGR0obh8ywiS/c8P4zSVGNrDHqjAAWzSjSfO6c2AaACiGe+M4+NT/O4f/VG88drreOetNwDRbLw2EAO5TAeZ66VWPHp0blMZ9b6O1ittiLMNud/vDIQc0p402+ccahhXzcClD2YQCcAVzsgcno8lz8I4PTnCzVu3cH7+CNttjQM+gh39NSFnGnicnonW9dQqi6tUeGbE6S69aqG86J6F8oAsvK0dVo/69bBY3wBk+E4M14G4Rr8WGb9XcLAvmmXQMKnaT6oNdd7j8uoRvvMbv4En7t7HcrXD61/6DVxfPAKE8eSTT2CzvY49oQ1/ViI3J6oygzr+3QG8Zik0q4YseO4247M/fBOffOUEq5Jxdj7jV7/8AL/5rT12QoipNH3HYjVNAMT4hWJybHb+AORpwpQL5v0cDul6u8dUNOsutSqtyyowYuADFoR4Nt8l/1JkjozLSa7k0MEw4Gva9whszyElNNcjpt770Kk/+eCZdJlA1sE5ZmPg4EYtFEI3fwB/EbAPe2qkIT3e3JQ8Wx9/H7W1sFkYMkNqM3xwEA4+zx+TCOK5+HeO3x0NWE2DC4hm1+KzxCsZapmaiAIWqFNLWfePBhi+795/310FyPnKTpfrMq0ac1tzNOm/wwM81p4eymrPdvst5rogZQU++vz7PtBgoQNQB67MguvrjQF9DAkEc+4edXYfOuwr9yV6rVFpGnwKPxbgHYJ2iiDK9ybZ341OnhwQojeH+zMLrr50rrhTH1ttRtcS29sASDBNE1brNep+0edsAE7Hxxs9omplIaUyUJss6IVLFFuiw0G0BetaXS4H6xQSfcgQSuBW8YVf/RV89be+gouHd1FkAaUeJPq5enztxPeaXQPHszlcM10nsuC1+9qUMkqZsN8vsa98f2pDsAUlpENzOgCjWGulR/VGZw+ohwu166N4XmwzHho3oxV1+pry/9k46uSKlMPesH3sVUS2oJVIK50xt6JhP++16daDZFKf5Oe3torNboelqr1N8pjyDrq98bU/UC+zRIcHEE4VzYZ1lrYg0ZBQI8KDs4dI0MFLCmyt0hjg13GadLwmBkbJbWSvmHYT3m18zj35pfuMNDkznjUXc4CuSdJIP/5dxOhD1FkdGijrmQGArU0uBrrdcrvsQg4igqkc44knbuPR2TmWuqCK+lsfIOXPNEROLGjIyXFsDxjHZnqfHWI7PvBINyWd+qhDpwgiztdPMSDxd3p9F42tzR6YA3kJoOTR8Ha/x9KquoOckUrGVFZKFahano3Iwx9yRFeDMx94uCy9OahZ5m9zfY3NdtOdmS+QHTbXhifk2MiZMoTqwSbzRwpK8Alcy6zGsjVTTrF71k1izCY/0GPEH13z3g2vzlEBvGYzPCvvnDF1Tkb/gK0BjH9m5SdmwdXlFWpdgMFJJUpAgpYcRUuaMNCy2e2ttJRRUsbxyTH2+xm73S42lkgHDnqoRXnDduAFKqOnnNfHd4MD535IPetKiTAlwbNPnOBjH30J33p9wTv7HZbmz2TMBngAo0AhOuP9GZEDPeUl2q6xtUpxnR5EjaoH4+eLVCQbRiJSrbktcjr6s1ZTdQ5dba3LEpLzrSn2l/RkTBg0AnQcfLN9yEDjivsP3sMXf/5n8eT6FNdXV3j3/rvYba9AOWF9dKRDQOweEjpYhMC0j+0PZqTIQE9DQy4N//rvvon/3h96Hv/iN+/hv/uFdzA3xotPr/HHP/sc/thnBf/3v/cWHlwB0pSy4VJafibduHrVjIz/+PFPfgLPPv8cvvybX8bV+QVqq0iMOBu5FINBCgBd05egcl0+vGpsXI1GWurZMN/7vpbqsE2Filx9oWf1DkGuKVaIL5HY2VJwF3Mj7LxqYoGggNVmBjQDWL4nDq6lO2enBkAcnFNMr/R9B7ispmXJAIyypomsD8jXyoJ5iBz8nNOKXJXLX2Pm3/s7NMHiNsWaCw3Vpji8GvRVkwJ97/4DAF0lRqxkoEH6IXAZAxq9X1fLEeznOVozU1IKCDe26ZdknNdeHdnv92iVo/RtCamheqaBq6vRtNY0/iS1p7tBYYrQA2yIBID1PegbRvt0ImrTZIBvInKu9vsbzvrzl0hUAD6rhO2Z9cCjMUNMFVnItOmdxjcGgnZ9zA60cvguBqzyQLr/QahLU1UgN7gBnA6Bo3PqI9AbaWziVWH1tw6AylSwWmvDojZrJqU9WGUT0MbGi4d3cXVGAFdQWxT42/VEUBSARYFXVGYEqj5mZ0EnbzvdQJ8PvEnTnkMEIpbx1MZLU8lqCzSmTwBy+DIBAqB2OkaKJACBbC+Jm9No5PQkUeOGspog5DSe3p/h/iYCWatWuDNwG1FrjQZaMp/me5ybzxqYcO/ee1aJ8d6B7lMAoNWKjfUDeHB+EFjas3dwvl6vQUTY7/exfhhAvFeB3K54HNb3lAZelRltu4vABvbcaAjwo3IPX5cRT+TYE87U8Gr+QaItzpmeeV/DvmkkrpuIIK0dzBhCIsM8HQOQVexhfwacz9+rParcqT4LUKGKVtkoLzmqt2FfAnyb3RXt64gyqw1lcqD/vqQPEEFznNcQ8DDsSNYn6EkFdDGD3+n1XTW2QvrNSVgSii9eWkXVzo24iaUu9jA6heZxR+lcISGCT2P0n9HoXSXeYmMOAFQvy5dHdyUbUHZgwlAw1IyLfhg0WMTXdLlblEIPgWZkiOIaJBxTAH7oM232gAhmEOEqGAmlZHhTvGYSdDy6TpDUso47dBCw3Wzw1d/6LYArfJCDbmS/Pm/idQqRDfQxT9KaYLvdYVmW9xmkMP52GIOiSoBLbPU1tsNrBtd/lK0/gA1YZkpYFcKnPvoSfvdnfgCPHp3h3oNzLBZVijivf8h8RAnyEDiISKhxdFBvw7/s5ZkZogFoDcZAsZmWzZdZNY5XU0GtmsVxHiEPAB3Uuaba3+D67HaoZdi7tidIoHQmUVmtRIRUCmYwzh7dx253jYdlwnbe43J3rZP+uOG9996F9yIQQaXETE9ZefAS9wg3imyd+ZLwB3/wCH/i9z2D//S//ibeeSAgSQAlfOOtDX7lt+7gz/z4TfxP/uLH8Z/+v76Dh9cNxA4OXOnDzsmBoRKspzV+/LOfxY/9/h/Dm2++gc3VJYL7rAjCNobuyR7NaaCWsnOEx67+/lyVv0ydL3oAdAZg4lkTUnAjRvl0tRiXChNhgE1ZquShstMDrgA3og3lQHdIEVC6k5PDrF4kGMIg9kDaAXXPIjtdrjs4vw7RaALeS+T73+1qBGwASDRQqq0GaHX7l5PLhfZrbHY+yc+y9GqSQNewpAkQt0emoAHNdFUbiMMOeog+wF4g+MK5FLWzUNrjC88/hyefuI1XX/022mzVHejUXM+MjlzlaOJPyQCexL27bYjnmDrtyozrwHHv+vEBGMx2HK3WWJYF1aqqXpfQLdyzE3pvER5ifPkaHmY5JbKgsfaWdCIPOO18sCjV1PfU+J1q7/HYnusSeful4uGjM908RpHIKSlFgFmzxdCGUhGldx5KsqYIXBBnjnuAI9oI3s+KA6CMVBKkmQwu63yVFGoiEgomltuMc+j3Puz87k+IjGoisZ+UuueNscnxpE1CtvPqmXrun1lrUzBl58jtkNO4PKgn21tO8OgKpmOlAnYPRpG1wNDXZEzWNfs7D94fB6UamFNPxtk0zmQ03pRN0WvMqlsP3sHn6S0jF73H1mr3N45D7Fpyzrh16xYADZTHivfYKA4ojdGHsPVBRu74NXHm1I6cO8YZT0W3ix0XuJ96PBA+FAo4xFKRIAgxAq8e9ERGtjPSZ8IicEoYRnt+IBvYN1wnoMEZt2ZBnlGWWNetLhUPH54dXOeRNUjXVgFSgQgipctq9lwrS8kSfD3o5GFeCQ6eE3MXxQg/mBJ8xov7gvBH+HCvDw3iPevjYDXjUNJLDb5FwdwCdLPRXEzAMH5eS4ISh143k2bwxql4HtF7aQPwASTd8aqttKxGyTquealwdQvPTgEGFOGlRi0vuwEajXf/7Dw8EI8aDwGu378f+jDIgJa5oe9brTKOjtbaRGLKLf5ZrvPbmgBW9WgsSstIyou8cXqMqSRcXFxgaQrYtfFKgwWSwVAJQjJyt9vFxhnvz42m/c1BcOMO0zNNcKBg0lj+Pgewmtwg1FYxlRU+/pFX8PGPvIj1pPeVcoFyPO0zqUfkIwD64ExY//PB91Jf2wPJR4xRsJjOsv7es69ojFXOOD05wfV2g121sfFkCSRzfg4y53k2Wki27EBR3XkzoDCqTQODUSE5oSGjMpD2e/C8x0YaOAOVrRwrrpSiV6ol7z71rg9N8z/r9S+sP//MTcJP/tGP4P/4N7+Odx6oVWPSzy05YbU+xc//+h5PP3GFP/p7b+Hv/eIjeEP648bUz4N+MlCXGb/y+c/jm9/4Bs4fnen9sSmZiMp+RcBnZXqfogkR1FY1M2JKJpGdsT3P/v7hvPjLFYMUtJKdQaXjJJuCSx712NyI5NxQ+2wHigIC0ePVH90LbEoY4xqMe8df0fhr4A0H5//wV//enCgURPQavBGawswQjZVMo3Al0kAMmvjwydOxNu7Z3d65PfNMmQVhYEHOjJMVwJUxtwThNUTqYK9N5s4UqHIquoO5NyX6evSAxkrIBoR1AqEGISVnlKSAspQMxmO6yMPaTtOELHoWPFjwUefAwC0mo0q4ryHSvhVL4z4OVkebkVLCyfEJ5jzjul3Dm9dhgZXv/3EQGNCrf+NLq0M5fI1fB8z+O3B0bvYYDhz6qh6QR/8BmyJKSnEClZqo31sXxpQTKBUD85qAAFsCLMDtB+xfC/p8b/qa+plTVY4WgMbVhKaik1QXRVbwWRHGnIYjbTabkFJC5WqBFIedFe5BJsS46x64iV6zng8bXGgBjNO0ck6oi/pFFpsMnHtA6XtzmiYdJgnXnLdzaus5Joc0UGX7d09EDACqNaRSNFsq/Rwc2ImDzzv8GQChVJKMolgXNnuudtwrYIFF/fu5a8H3Z2W23fbpCAw9U91aw9nZWTznMaMdVYTRl6Lzvn3PuOJPTh4Utqii+s+MtCRdV927TnN93Jb/q+iIfu5ieGV8h55/bzLVJtV2IC2bLCnAbvcANDF/GZVLt8cSTAMBax+XGAXYgnYNFg8DpJSS9Tuq72hN/b+qFTZV27HzW0o6eK/fa+x7AC4DHCsjcvBdRIRbt25Z0/7mAysW/6rXh8/EA5F58MEcMkRnbIMHAEQjUoso3qeKGd86eZQu0VyI7EBYyyb2tOGZdbZsXBxcGZqYPDljGdOplB55G9hjYZP6QZRZtMFsdDCIz+wbLu4evuO97Nf/rD/HpoPt3EX9R8sMkK7Hfr/TSLgZfxqEUias1yvsdlsr4SkoUiCdILyAMvD000/g9OQIm91G5aAggHi2DBij0pi49lhgov/m19+z+TL8ux9EbS62QApulJR65N2RKvnmB1wb4oQI+1px/+E5rq5VXSWR6gyTej1H/QfRr1+bvz6opD86Xg/yHj8wYyUlEWG9mpSOhKHcKWpI53kfYI5SsX1E0eDZA5qM46NjBbBLRc46fKO2ilZrZJ0kAy1Zj0UDiFs0sdQkYCYIe8bDeHBwn6D3OBVt5so5Y7fbH6wPiDXQbcBnPn2M1+5c4O2H0CilqtNjUmO4m2c0Efyjz93Hf/zvfBw//fkz7JZDoHOw1wGbrAtAGN9+9VW89tqr6sQdJFCyacNaLXBOKogi48pVjC5BsR+DOw09j00EU5n0ObTDycrwn3RASmRlXr0vpbm1AG3j3lGMrJrFQVeD/r1zJZelduoFf/B6jMbV951WLCxbD3RnPtgIP7NlmoBWI9gh99bSEwbqVEZw5+8/pAg97gQfz2T1CoP+2+mK8dkfvoU//KNP4+bJSgP5fcXnvvwAv/TFPbaLBwL9WUMElLu1iAFrupD92ZkzFFHb6k3RIsA7776Lu+/dVdpVnqwpWqsCt27dgmc5XWpQLEDR5dB7X69XABntxhuuU08mqOpTp0cEz9z2YfBYoWtydXXVn6s9s5yygkPL2AWgHab3Op1rVPwBrPKB7iNEeuOjP/sA08GVfQxYk1Wvw3eNw9tyB4VkykzU4IMIBeh0ogE0hIcaroWIMFlPmiurPb7PRcQmZtozEE2KLcuifVRebSBv0tOKBVmToq+ziGqJu5a+SkwuKhvs1+XrAcDlPB3G+nU1rnC5SsBtgp4WrSKMwKZXonUy8S6CAw+0/AtH26LN4oY7Ot7r/14yjo6PUWvVXo4h6Dmg9vn3DMk4r6oZcMA8L/H5uWSdnt103ycLinPWQUSN3z9dGsRKexzW6LBf5bBi5msNHPrPseLNFrQ4JcD3VXIbRYpxah2+zxtl0StkXZHPK9VycD3+Gu2Vv1arFdbrNbbbrU6EH4C32sHRN/V7sGWPHi1PiuRojF/s/QlBY6akIgq+pKTV6lS06d43uFh2SESw2W0D0yY7r40bCortQ4+PezLlQDr5sVckX6Dvwfgsocnr1TQdSKN+2Nd3ITGZ4qCuVxP286zhD+J64otzLqBE9nD8LsSyj4xWewleoA49AJgo4NUDLsEVrNywXh+BhEyZJUXQ4GUwB9BLmw3Esw5/yT37rs21PXgITqNnAB4zuNw0Iwb0jSMGQB0k+qPJJjmkygu6IbQRBgYSgaXOB9nknDUg0vHboxHWYKjFtRDOzh/helOwND/U1tQlnWsbGb2+T+L6HueM+zV4aT9HNqLzax/X6S45G4jkiI79MyUpTaFC8MZbd3F+ucPd+w/BtUJytmEqtqEFYYB7hsKbfiR+9SBDs5J+YHoTE+DGxLvj6fBzEuJwsjcjmUGsLNjM1fjwVpFhf7a2N9h2WSacnJ6i1YpHu/MYeuEZTSLtzUBjzT4vDDSAalMOdtZaAOuMkOBn+17Jw/AI0e0ZJfWcCM0qHNMqY7/fAQx87KUb+JevbwGxY1wIJ6cnaJWx321RqzqLBxcNIgm3joHdIgB8vbtRdRzqzlwaVGGHJnU6DEx5guSR4wh7mrpOq/WE4+NjXF5dWtYM4ejCqNs6pJSwWk0gSthsNgdOdsxeCxHKakIuCXXeK7AxkBucd40tMK0ySlaVFjQFjypRS2BR2TmI7mG/Lled8bMQp2UAQx70hRPBmPn17DAAJm1cY8G8eNnV3iHh12EbDpb0jN4bEVEZX9+AHpQ8Fqh4NmwMOAhKU7h9Q/DX/62P4eyq4r/+h9/BvUcAgfHSMxP+1I8/hx/59BP4G3/vTVxs7BxD+gCjxjqfgg7BngMjgsk45oRkFTlRkjFSzqhMqKK2CWajHKQ/evQoKrAM2HRPxFlzhxzZPp/iC1gl1zM4uudE9Du70k1zy2KLim7DRjMIwrSa8NGPfhQPHjzA2dmZ4jh7OFFJyRnRdzM4XHuA2igde4EC5Fg7q+4N7+d4PEhkkyBNpGvvwUcEd74HgZIIlEtUBBXEi2+Gvl+pX19wjGX8u/eDdwBDZrWf59iYfjfCKGbnVGHMquygsFMKSjNSglEFGatScPP4GLv9grnOWJijEqhnVs84swM9r4o7GAS6vOR4Nt8f2BIlA2TNOPc9CK6saitBh9LoUjPIZqfirJo/rAsffE9/WU23iVUaP+AVwZn6nJIKqGTFRZYtvnXzJjabrQK4nNAaHQD47hv9kXhgg45X8gcDR+8L0KdJ0RgfgUjMzOiBZ2cq6LUL+lmIQI8oOOm6h32/9nU4rAKFd3hfZtltqlNPiGAB+gCI/XuMqgbJal/FaY8G4llwtF4DApysC2qt2A/BUwSx6Pfmtr8NIgsSZ1C/13EDEgEmXTwvc1Rxcs6WwHAf16vbvhajZHDkdZNRn33NoU3M9x88OJDH/bCvD9/YCtXWnFLS4T4Gslm8GSfHJllsvK2+zwCZlbfWqxUEZsSHqqUIorybXGcYls+2z1qv1xBG8P6aZbjFNkUsnGU/dQCEoFDC+miF3X6PmcWyGrBMjisHmNqHyx8m5cmx/VyMNffNoK3kEYXB1sMz3M2Mj5f5XYXAwaUDFZEuGemHj+ADVcy5g7HUhouLS+SSdXIe7BlIrJJZN8AbZ72xSG2sG8UxQnasQH29YM1wBrL1A2xTu8JMbWF0/fOmaQILo7YF+xn4xnfuYF1WECpYTRM2ux3EQBnE1QC6sdHr9FSAREXCs7sO7N349ADCjWmCpxGyNU611iBNsG+2H4XxwjPA97x8itWa8PC84ttvXOPelYDFZcwQzzWetQDcGs7PzrWJuI0yosrpVMAtACs1QWMBAkpCpQqg6aAVSTEgxCsolDKUoKZBKAujLRVLmsGigWHJGbduner46HkBS8NUCNt5D9e9LynBx4G7oUoRVDJkqERphrqF4yKbp9DCaWoloYnp58Lkx0ABhkdKQ0qqZKAZi3Gv92DEN5PY38/zHhgoFwdAgghEBU889SS+9we+H40XvPr1r+Pq0ZlWBsSb2Th40ifHa9y4eRPvvPOO3Yfx0m2ACLeG4HySETcS6STggz14uCffl6knCvBLBMtaCxg1nEU2CmCo1pAfTeePKp++qb7gAR8SwEG5uQez76emqOwlY7Ve4/ZJwl/788/iy6+e4//7uQvMNWnMJISLNxivvvUW/sJPPIn/4Cdfwf/pb72NXa0gSdZJ0/uN/LPtSejLKpvIGaWYPOFSBz6o7XdJ5uSUIqRUJJPEtYSG0v84miEJPamw1IrEarecxuSSnLpv/OQhAuAmYnZaQDnHNbMISvLdq2/SxsgWTf5B2xhoNWN1SMGPzmgYNoW5JH/+9vmWAIABBKfH0GMBV8oJrhCjEsMKQHPu7thtW2NPO5CB06E3CT1xNvZvxF4xfm62xEuz8z1WcHxPO8Ct7Ips3gOks/+Oi2Yvt/uqfWvJ9M8bQ6x64AO4vC8ggZCEkeEUBvK837CHAac5afWBkYr3HRnV0AD8mP3Vtc92bjxBpb4BIvABayBArJm0Gb7IBKxWE+a6aE9BSv299v/zUsFcUfLYEwNokswnzg4HZAiYemLKm0l17zpt4+bNm/jkJz6FN994E+fnF9huZwCHVBQx/+sgkSxQDsoPDu3AmAFPSWm7y7KYhr9VqjzENTqMiCDDr7Ha+fKqfq9yeYXLsY6eYwtGxSv1hxXdMUD3hMe4R2utmOc5Pj8AuZ0ZDh8Sy6sY1JJdVuYDi8NIpfM989TT2G6v8eDBmWcHNHFoSmg6cFLMFngAnsP+ej+QYqfW/XT8D/CkLqHTtL3n8IPAdzwbV4VyoB+4Sj9jXuawAXpt7/uoD3x9FzrxZAOWKpbtNsCGR70Q7cwfo59O1leeZU6dg92MK1YcjLvGgfSJowqmJbI0u902JAKXZdEJmesjzMseREbdcccq6uClAXmVbbBCRWIBrINZy15mCIUCDB9k2E14NVnnsz+syeX5lhoG00t+AGwYimeRFegBeih9LZVb1YbNa98DBYJiGVN9xoJaDdxS547qpoL9vjsRDSpGg9c3FCzroJEwd/AaHtwyK6mX6XK2jnzTunfH6g6jVoagwqefnF9ucHJMePb5l7DMb6rePlGUhf01ZlL8zwFu7RCOmRkvn40lbGGJbIMIrAGIrIFKD91ztwl/+c+8hKefXOPbb+1wfdXwPR87xb/zp1/G5778EH/35+9jX7MF3ioJ5qOVxQy0Tt7TtXG6gVjg1Cww0WeTIupvqecrwNoAmE0aslk1Sfea7ld/BsyCDBi3Wq/h+lrpVkvVPfDO3R0++dINfO4rj8yxA5vNLkrguq8Et06Bo6lgszdHZ5ULwJrKxNUGHMRJ7DvXChZRJZIxMPS9lfMEgZZ9W1WNbz3nGiiwv0HEGByajaqeOfOfDbDcS4lHJ8d45tlncHF5Hry1BkEpGSSqWc91ASRjs92qVn4zXXgiK0VHciwclasYOI8TsQ+7Y/Q/R4l8fIWDylivTyAimJedUkQssJxM/rW1GhmvZpWEknVq8BjA0OAI/QyEus5g7IFOT1JZWsYqrfGHfvgEe2b81OceAm2tWdKklYEqC/aS8Pd/+RH+p6/cwI98zxE+/9Vrpb+J31B3bIf32oOY1ip4b7STlDGtjnB8cqJ9SK1ht91hv9uitb2qPEh3dO5Uidy2E6RxlOs9sGrcUHLBE088ie12i/3OKG/UP4eZw3YqzrNyuIMtAoQFMy+9P8uyFrVW3LlzB5S68sXYyNtv25AIOr3qwHZZXTH8jk2dVHu4oPPMe3ZuvV5jWk243m5V9AEAiSAnAWQBqCBEQe3MaF/UEOiajX/8epVWMnDQ4xBbsDeAPQDRjNizqpZ0smys8toB4ob10UorYE37m3aiqmKgdEif1ScMr/Bebzaw/F3nUjtVKXybq8g4VUn62mKgdyZNbLkEn34fIaei51kanKbjk0lzJqxWKwsAlBK0Plrh1s3bePjwgWlx+zO1XpBUrNfjkLrie0zirKi9TkIHdsN9otJr1bdp471ew267x5t33sT19SWYFzi32n26v1xlyvvy3Bd5AFtbQzoIHLRX6+TkBC+9/BLOHz3C3ffeA6BVv5ScAkgAMwoS1qVAIFZBAwCbqCu9IsQDhWx8zqHMkzo9zE74EPRYMJKsxw6Hwc5w2KA61movJMWbOxZwnCPKFpBhzsZut0MmwsOHjFoVo+WUkMuEpQm4WYLFQTx1UQF/bh9E6RzX1u+J7LpcUjvO2/Cz/v54DzmbpVMTA4PKUBGDIBd93p6Y/p1eHxrE5zxhWZpmPFJBowqmhEzok9as0SYn17tGGE7A9g6MT8AVOeU+AdaiVzgAFwfEpKCbGcte+U5R/hHCstdIM8FpK3YMEgHIqBBsG2PZbDQTIQhtdvGLomQieRyGT8EydMwzaTleLGNHFAxoEBQ0EBJS1pHggFJrdGiSxHtACVwrMiVMU7EpsB0kCVwr1AwcbIKqKXB4JkvXJkfAJBCl+NjmyHmFBDI6xcBn9QwnKBqhCL3aoGXgDo41sZSGw6nrxzaxiiAAWVbUnuGUE1549mlMq2OcnZ3j7OwR5lqRywQwqxKGZT6GxFUEeK4Bryo43Wn2Ue1iV+pBl2cJgJTNuJpxT6RG8MXbhL/+Vz6Ff/KFO/ilv3eB3byCYAWSHZ6+CfwP/tgL+B/9my/hv/gH72CeLfRJ1oYtPajz7MUYUHSKkh1KEPI04fjoGK1V7OYtSlmj1SV6SEwISQ8v+XVWIHsZPINIebskEopN292M3osk+MLXLvAf/5VP4KmjB3i4FegYb5vgR5apguCzP3Qb337rCtu9fq1u8V5xggVnbqhdrpNs7/i+Y6t88WhYo1HFP5sM0JgsrCMq0izpoSEcDJoMGQvWPc+y4P577+KXf/EX0Lhiv9+AiUFZQEUrGrdv3sTlowvMjbE0YNlsdS8gA0w2tMUAHvQatHpoDfe+9z3IGMC7RAQ3qLWIBgiZgVQSGhHmedHJzsiovIBIkEvC88+/iP1+j7t378YYcPvwsI9e6VGVDYRdGjNysL3mrmGsgKliFVDrFX7XJ2/jZz5/H9ImeFN/QobOY83ItaGlhH/yq3fxr/++F/C5r22UroRkI80BSSmok71iKED2CgqrwlHKmFbHuHH7KTz33Iu4ceMmrq4u8d6776jaSVsgaNao5+d9dJQGApL/3sCF00CEsb3e6jBAGxLmL/LHBYnPSipZpBUDsyuq8pJBSAZEXGpSF1WaxJ+8R4VIA0RmBeJjg+HjL9/vKRWIZCSa8MLzL2K33+HevXcB1MgwsgXrLDqXoak8ll0PgazHg11qL2kIHEGtHPadCYwv7/6VbDdRD0zMhHbQMmjX91K+Ac7qn5PC/+Wsfq5RwuV+sd4I7ZGoLrpgm3ScRGsCrGgQlRNNWYGe+VNXNPPomoyapXvcFJYCsDsorgZEvdKp119KwenJLYAytptrtOZqeAmQZs9G/YNAA/vd3NAuLlUxTexMWzWtlILVZAk/P39uryw4B8wGkp1bwzCUCMUav912mPeKM0tEWJY9Hj7YGVVEPzwRDbZYn0tXJTO8YT9DnrQyfNT7FhIaC/bzgvv3H2K/28Kz7SAF7ZKAhRlJBLfWK7z84kt4dPEI7z3ao8KpTsGfiPMhEBS3UdDzGXK5kHge7p8Bz2j7+rl97f0CatjUk3NrIG4dKzq9NQC8K1NphcXnXUAQldDKDVfbPcBaWeemWviOebTRGiFuAoINZ0K/W+qJk+RnyK6HTChEAxbEyrh9cEqN25dQW3I/an5G+4T6+/zb3f9mO5/vtzgf/PrQ7HmV21EQX5k9p9w5xFbGIwOvY8ku9GsTaaksE0rJWK9WunlFwa4bbDdGDnw7T9kdK0ekvSw2BEPI+K0CS3dCkmZUqwj2tUJS1lK4O2p42UtVDI7WxwPH3Uuw+lA4TrNdEzTIuH37plKEWMtlWrJUI+RNn9zYxkfDMgiM6+vryAJoRCaxCZQ32kBJQskv2aGNqNBqnSk7N3dw+gJ4qRFwKo/Y4dPIGXYItLGmhKN1mcsRzABObzGvYA1OUQ42Y5IoYZUzlv0W26tLXF1d4P79e9jPc8iRJXiPgWdE1VjlrPeiX6cGkMQdlT6RLr8Ek8MkCxpNw93WcNSzLanh3/sLH8PP/vN38XP/YoPdskJKGUWAgjXOrlb4L37qXZweFfyRHz015YMESIrv6RUBji2gDW99+pxesq7nrdu38Zkf+d342Cc+jpInrVo0Bee2COF4Cfo4PvGJj+Gzn/39OL1xrM+TNKvWuMGn7Qnr+VD1EsZ754Ivff0R/uqffxHHpcJTH6UUowY0fOYTBT/xe1/A3/+F9yBSDs6l7pdO/6DBbIw/w+a8ck5IJYUiBiXlglvcdQB0JLJkGQ1ahPZfx2zEWPr3jHf/dwHXGeePHmC7uQQs0wZS2kVtjMuLa1RR5Q7lvmvgydZcp/uHMaWM1bQK/jvElRYyWKyRdLB3DmBbc6UWi55Y6X4lFeREmGhB4i143kfW37csJTXIh9kZP/EtnEUuBVOZjGNJo29QB0Q4eG6evSxlQqaM1gSNK06PJrx9T2cOCKvTPTo+1vMhagsbE965O+OZmytMAI6YcSzAE9OEm0XnShwEMoMjd3vsz66UCTdu3MIzzz6Hl15+BTdu3ETJTjWwpID04BfDsxexvGcCumA1gm/KrWG33arSiHTwqrao09kUJKtPIDbta3KAncKueROvO98ecAqkapVYVc+0WX+aDu2gVwjHZ4jhubi62vroGKvVUawZQ5AnPY+qc7/DdruNcw0hJM5IWAEyQVXcLDnkYAIS3HMPJg8aLeHV5L5/Yx6IPz+RrrFtz4M0IkeygHtsxLU36VrmgpkFjTIWAXZLVVU08x++J3oMJvYdWm2szFhsOKHTCOJlPQPqE6zaJLp/a20xpK2Uyd6gDjGGPOWM27dv63Rw87EiMPUQRMUGth8Eajt2+53n3fvZ9qQQt7guB57ODuhg1BJgDjzNF5UyoRSdfjuqv/ledOliPbMEULYz3sGwmRndpRqhwtGwU3Y9uGzGcgj80Rj7/YyzszNcbzYIJ+PB7sH5BuZ5p/Rn60PpjcGDDxikI92OEVH4GZ8r0QOcTsOFv2fYqx24ul0c/JH5mnFmgH+39qi5b0gHFEClcysFrAmBzRcE1nP8Qf64+noqU8QSnp64CDqt2wndDu4z/Nl6pc2lcD3v4xX6uHZPhsD/3Z4wJYTErmgC0gVSPiyI/y6GPRn/nMRUBQzI2LNS8p5lnh9rptGHowdTZuVLHq+OMJUJu9kaG/yx2mLDATvZFMHIDmTV+W4CqQoLwt8NZXF/BSQfMymewLA/JiIdXZ4Tpinj+vo6Fp4NWGvWOXWOq230aVqhrQTLwmjMmFZTcL7289wNqQBwXpqnBQwIOzi3m9CN5o/cd8WQdSEAZZqQUsa83x8Y5diUo7b6Y5zybtx96lkvoTq1wrumde1sscwIMSzLZ0NPxIz57Zun+JEf/l7ceesOvvPGW6gsCO1lAbIB91YbkMyoWYkv5JykT5ZdrVam0LLrGYuhEUs3eo+K3Qj6gBvhhI99pOD0JOHzX96h0DFyIdw6PUICcH29wXYvmNsK/+0/fhP/4V/8FH71q3ewmzP2dYZPhAzjRa7GI+FEmHvZd5omlNUKREo70P8auLpOMHpTGiw7kABKgpdefhk/+EPfh29+8zVsryskJaxXE1qdAdQAmQkASIPolAv+/i8+wF/640/jf/HvfhL/6Jfu4rW3t9g1wROnE378dz2BP/CZJ/E3/s638fb9Bh7Kvo+Xf53zOGZ8YVkBAJFFnYiwZMtoEHTcdlpwOi24dVPVZi6uKvZ1AssCJkvE1dRl1cyvHBg5W5OwGeJ/b4Eba1BTa1VAAwKkYSsMpEmZNjCJOyI0hmWybMx8mkApYxaj9hXt1ai1gms1x6Fl5GiEsqSEDGcxAUi5oAE4lhnPFMED7LATgGQNYs0sLfsFb7/9TpTUR8fpgSKzV7AGuoNPMR0SF/48xGyVl2KjuV8Ns57n5EFuA1izfrVVNFGN5ISMkhqEFxQh5NbwzBM38fIzT+POO+/hajfrx/FgO+zs5azVQ4E1a0vDbrfB2cP7qHXB2cP7mOddNOERAPYJwxQWLdaBKCEXVyASyz6RYUL/+a444xxhB/JlKjg6OsJutwFXt2OW2WP1M2LJADZboWbOh3BJ7ENtetfA3MvYH5R9H5MImkGsKFA1qWXZ4/XXXwVEoI9Rg8B57uPc2aijqSgQYBFMFuwtAszmazwZYUnGvnIGiLq/QHDyR7qDV9nYaBThG4dzLwaWs2XJtdlOwU1Ue+xrcsq4dfMWdrsd9vu9VhFsbzqtRqvIDBJGkqZBUclotVlyplMx/PirG/xX93x4ArAU622gBKkOxvTnHp2f4epyYxVIGHbQc9WaJ1ksMhlmfOjvE/oJT2hV0Oqsvs++Y5ww7fGNBiP2LmMKCBGW5nNbTKlHd7BNQWeUaa0KRFks6NAAkpLEvgtlEqKwO05dicCTWasbQ8ZWgzTzj1Y1TcWav5tgaRUQ3XsQoCbCu2cPsF9mKMdBfEMZ/jaUYAGk27BEpAmZAezC6azeY2SA2/GcQJc7qkSGgRwrZmvS7aIg9j2m5OM2T2Pnfi67GIef5W5nxJB3n0WC2GdE3tDLNqQy9U91IG6xk+JA/Ydu1w4562OCxQMl953+igmzHhT1qzQ7r+/PxrJ4H4XzX/H68Drx3vFuWYLQPQ6C/sAFG3hk48EkItTGyKTyd/NSdeMly5jBH3iDDiFBGJ1m2ZdSVKuTd/v4TC/z6yIYUPAodnhVG7oQztkONnPDdnuNo6Oj9wUegA0SgcD2E7xUV2vDo/NzcFUaBeUUm8gNoNh1MewgmIPOKUdmQiWbzMALo5TcaTXSN55vVI8+zXQj58mchlIE4uoH4+/G4H0gDt6tnoJymizDIaZFLAb+lV5yGCX6qHtGxenJET718U9gc32N17/zJkKOS8+4bVbVMA9+c62ANbhyU8Dlhz/nHHxWVQ7iHnj41UtDAumkSCv1OvCRBHzPK6f4yquPsG0LVpTw7JNP4g//oR/FM0/fwi997tfw9a+9icqMt8/1Pp84bXhr5zxMbZwRM5za3NzCeLP3M5hvnIoGcFeXF/jKl38T8zyr3B7EQKaZH6ODkRmI2hq+9KXfxDe/9U0bOqHZ2SeeehLzfoeLszMQmpZRybSooc97v0z4f/7MPfz4923xJ3/ieTxxM4Nkwtwqvvz1C/zv/x/fxr1LgMgmO4z7W2TgN/YzGj8znC93hEurYGlIrYBLxTO3BX/hDz2HH/jUDcyzDv45Xq/wje9c4e/8wnt4eKVZ8YU0F+8j4MkbTn0/U5802YG8BZ4AuNpALJfmJGv8NhWDKTMSKgQFC5JGDtzgjTq1apNSskxeJlJaDBAUNTFFlYNS9hht2Jo4deyl4xP82e//Hvzy26/it+5dgEWB7lHJ2C8LlrkOb0u2hjxQwxD2Us9Yl5Y7BDQDsKGuZOJVAuaEhRrefbDgE88f4Z27OzAIdWpoyy7oZcJqtz710Ru4+2DB3BasMmHXZjzaXuJ62QLeVO/Ax+xPNnWPxYN7ESzzjMvzMyzzHqv7R9htt8qH5yGBMOypvvcGBYfWA9uD/UdmlzzocyQAt/NGfVitUJcZtVpmdipIookmzW65PRADQ/r93tPiKh/jcLBaqwbkpRyMTh82gYHmBGZtgPQKLvMC4ap0GAJa02qx35s3zxIBSQgTNbxyxHj+9hHevtzjvV3GzBnNQEJO1tch/TwenlcLspvrkPe9mlLSZBes4lko6Eb+c6n05tAEimDSLWx8XgJ2ex1jP00TYL1hejaS2pcEcJ1B3DCRJrgq2XcC4R/Jrreva9deH6tAqlBCqG2xRFr27RP7qNUFO0v+kENsr7oAYK5BPSk52zRlQaJiAQTZ2bDMaKizDL5yoDD6B48YwquITokDJVOrEoA5lGy8rD6tVnj5lY+iVsbrr70GrvPBGfdnt1qt0ZixzLPhK/cZAKyvx6uZ2r/QwaM3l7fmrIlx3+jPXe33SMkAORmNsTESayIkmkAB6MCthJOTE7AwrjcbpZsZ/nNc4hWhmEJvqW+yexr3L6RXiUqZcHRygnmesZ/3QemL+yNCkwoWxyYIPOMV+GwZbYtD3H3AfVekipnNVg/KPpFIOvSFLMPq2YcK7NlmC/SyJQ8EEOlUxwO74WfX7H1IZMcJoFjDZZkPA/ff4fVdZOItkpHYDqYTrIeLAjMfapiOvx5QIZAOZLoiKvOoczIDRaYtD+eCqtKBd9nr546DFNBlLQdH4oEF0wBA49DocJqr62uNgIRjgRMlLZFOEy4vr1TesSlYoQQstZnT05cOX0KUoCKwacqp98BHjLMKuJ6+Nujoz7ohe2wjANGMUZcFdela2drARhHBijDYIm+IlTA9so8XDeuq2UefBOmNvLBBOUjqWDzQICslzbWaegnj4dkD/OzP/Ry2m61y3EWVI7rGLOHo6BjTajJVFUb1561XEtE00Kc7+jomSmFMHWglAxXeEMw8jJ2XjJsnEx5ebpHQIFhwtC744d/1vfjhH/40Hl2c4e237+P64TnaItjOjFUC8pTw4nPPY14W3H/wAHXR6aopeTOk9EylOynWAUloaqjmnZYpzcWqgbT9nrP3HsAcQsLV9TUuLi7hMploDeeXFwqnWKkCJWm5ky0DU7lBZyBM+JWv7/Fr33wT65UGX/uFwUwQyshJMwgSZ7cbqnFPAWqQokw5gKecdcALL4sGIYnxiWcI/9Ff+hR+6Yv38L/5z9/F9Uan8d48TvjXfu9T+J/95U/i//p338Ab95T7m3KBj0GPITC5lxLdGXn25SCwsN0amWi2/SJATg1P3ViDKuNyV7GwAhPKgLBxdLv3gyaRK4QbVomwmjKWVtFYB6xJ0u8YR2X7miUA0hakRNgswBtnFzjbLJCUVTlqWYZGMKD5EDGjxbE7YnTQFQpX8L3uMnFmB5zahTGrZDQVo9VJKvinX7iHn/zjL+I3vvltbPcZ62mN1WrC9dWFUvkgOF5X/PHf/yz+Pz//FmpSWlybZ1w8OMPSmk5FjLXvfPCu5CLx/Jg1w7zUBbg4B7dmz856mnLByN/PYX/Y/ktm2yX2YUoplDTEQZnbqscCzGVZlJY4V/MpAuIukoDBQXsMEFKOlohwYDHSUgQSKk94DFz6dZhB7VVBJ5gSIMmpdna+ht6eyLIKI4Pw9KrgT37mY/iJH/kUfvpXvoL/7jfuYJF1nInqtsav02x9ZNsHewkRJEt8NHsWDpJ8ZgIw8sx7b0LwdomAkapjl8vM2G13QSHwDKjL/urTVCAy5YxbJ8dIpeByv0fOQBM7dzDqgcruxJn3ewS6Co2Q2knPgAel02wFcwWoUywBbyR1jjkhU0GTpsk/E6NotVqzeQ+auy63ATC8/3VQJfBuXZi/Htaz2pl84fnnkCG4e/ddPReJUHmB1Iz10RprA8bNyTMHSRPdQ16pK1kr9EJ+JoahDqDY6oAr9fVMcczUyUX70hpH5YAFgGXHs0+at2YAjRuHveV70PEYddwT3csDZumTmJvtM4rp9t4k7FlwEcFmc917hQz4H7ArIrHmtCv/GQrf6mFHvH9ICsRes+cW1/kBz9j9hZ5yrwLYGRJGIh0Uilw0scXcaUVEkXx0BR73dwBiaJRKiy8WiHQBAI5qznhl/+rXhwbx9nSQySboiejUUAaQTabMOgFHwzI6ZhGEfGSUq1KKTEE01MH4eamXQHSB9eG5M9EOZQqw2wYKiViWy9J3nTNIA5BxYG/XK2ISdM5Bs8yvj1D2zIc7TghMAaIA8CytZardEJpDd4qHaiWLZQP60AgM9wnXFx5MyeNSYl4uBo2Zf+qHSICuwOF/Rr8HYSuTqekVC25Cw1gIU8pIlu1qAPZzNa133cRe9tcKrGC32+LduzscHR3hqWeewb0HDyE2UZYIIOM55pzRlnogN+ZVhcfLqUGzsS3onSYS65JxfHyEuVbslzHzSQAYDy9mvPDsMUTOwUI4e/gIv/gLv4zXX/8Wvv3qm1iqaNPfVHHrOOFqv4BbQsnFyn86WImrqg0g2dATckPSm/VqbRCpHrbDVQf6pfembN230rMdAhhZI/b29fVGqyJQecfjtWZm9qbDLIJoqNXpvgltB+QyoaFF85FIhefvfR/2Neq/ZxFkK4v7EAydCaCgWuUQ1QbcOhX8tf/+J/C3f/YN/OrXdnrtor0VD64Ef+8XH+H+oz3+2k9+FP+7//JbuN5Bg0mgZ14TIZcSCk+r1YTVtMLl5ZUF6TA6CxmQ0oDH76FWlYBbF8Gzt05wur6Nb3znHexIkIqq+8wLgVGgvdjqgBIEWQQZjFdeegVH6xW+9dprukJm9Hv5eAjGLWAsRUH53brHP37t29hlApMOdxKp2FdSGVF7/ErpcGdqz0zU1nHzQSqC2hb4GHkiO/6WSdKfIceOEaj7FZIkfPX1Hf7Auzv8e3/uBfxX//BdNKyt0U+pbMfrGf/+X/gIXruzwVdeV6UhEcIyC1pOEEzwJEyYIqLYax1kuCqMZkJ1rHznn6pddF5rDlDWgY4/y/dnHyP7BtUghytRCB0AWQzOdpomLItVOZoqkoyUO11PB9uIAXba46F0A6pD0OS+LuXI8iUaNOPJmzfhkAGA2XphCCuIKnkyOoeffc/4ms8irdBNJ0eg9THK0bHuNru2CooSfACZAfiO5XanTDSbyOv9WZ7wEPbAKeqBAGjwMz3RFSHKQPNkZiR0egPgfXL2LK3vIkHxwfHREagUXO1nOONwHKaVDHjpdzg47QIGKRWTDm1obbFrzsBwJp02kiIwxhAQOP2lY4Y978Nej1xpPHY2gxIcwZrun+B62x73MFMzwN1nCQQ5T3jxxRfx1K0THK0Id95+B6ujY6RphcurDb76ta8CLFjmvdKP4in0M7cscyQD/TkSEnJWRgMf9GiNVYyeaAL1Z+h718GpoV0T4FN/TtD+KJCASQbVNV3D3XYbVMNEuj/HwNc9MxkWsRy82ZOOhcYGVz9XzaSrtYdnCLbNGLosNdCz7i4f3Ibgi5IR5iL+sDPggSkG3OOrG43eFsgKEApJ1PeJ2+UU95NtLxh2IsLp6SmeeOIJTNOEu3fvGoapBzLo49n1WRJjsln/fpC1/W1eHx7ECzCVgpsnxzhZr3G92eDi6io67snUSnqGqBtZlVs0XWpbUKuGWAaFAlAmAZCchiFaRg8Aa3zBpFSGZhlhB0yjqgLs81XdQ6zhqRtDIi0ZaSCaIQTUaosJBfKKWQhXV9fY0sawtlGIXA6QvFTcQZ0D8w6gLQsDcgVGMzrSAw3P5jhwEcXogk6hUf45DoEYrCvAnoGvk99jPwi62B6VRsTpRkr80zpAaOYUZZ4V4DRGFkaBGo+lKX+rmhqKB3a0VNB2pwC/CXIWC9QZXLXBqoaONx0ABD/275P1s4M0ajkLsw4PItWttg9yswFKGd98c4s/9mPP4ub6Ia73Ey6uFvzzX/kyvvjFr2BZCBf7BXVmfPpja7QGnF0QKlfcufMGJJnME4tJAlIM2PBMV8/MANWGmUXz0cBtBHog6Tx6yh6IMkgyIFoebbyYime/HxbNEi+tYVkqQJ1TC3t2YkBC6iEVQ0Q/S0TAxENA+hj9TSxLNRx7L3u3eMZKa/ojP3ILr799hS98fYHQBAK0/NtUEx+S8Pkvb/CDn7zAj//gCf7Jr28DTPRBGgKenV6SVU2JZwtwe/RDcNAXLCylYZGeh9YY5+fnOHrmGaQ8IdWKo8TIaEg5YdO06pfIHDUIZG0pu+1OgW48pw5xoinN7F8EZiYnKI1QpQDifH8GJR6aw9TNOIAMHm1Uiwp0dok+qxwEaOMkw5rkiZCQFeg4yEoAWANBMfDROOFv/qO38Vf+1Av4T/79T+EXf/0uvvHGFrid8ImX1/gjP/YivnPnCv/Nz7wDXiYUAoiNmqJq3qhgSOKDvaPXk7X/p1ZoWIm4VrEsryqU9oRLbYs1YiKSDWr7kv2nakpjcsazdBCYEKnY57JhUArnG5QcA1lNmwwAtA5I7Xs9AOuJPf2OZVm0OS8pnWA8E+PZOABCdpdKP7E9Q4eBg09iHoOUbnPFVw8X84J/+Gv/Ep//+ht472KDrVl0HZxkoIUBblUbD4kOwLCDMj8frTHqrIocuo59DVR+Moef8BAkpYST4yPM+9moXQomQmnF7RnQlYI8mIIG/pox1TPQGuPho3NISpidA+8BlCW4XLkkKhTUs8kHIMYuNS6ZLDi2xND6eI1ECdvtTgPjwf+6xHImU4KjYX8lVxZzKN6Qy4Qnn7yN/X6Pq8vNQQDjINdQdvh31/nXZsdsiROCtIpXv/UNXD11WwUaUsKt20/h+Rdfxpt37uD+vXsgMHLWiozvCee1O0j1jL/updSfP3PYFD37nQ7UqRl9fX2PasLIKHFk01UkjrI9bYarDPpAw9CFby1462SN+Nl6c2LgmsEOBcKK2VzpRW1KMxzTZXbh6waBcNOKpboIOBVuVOvJRRNe7kunaQKEUFvtAyrhmXS1j8n85dgsO/46nlOnO5LjQQ84IGaHVfGIeXnsfOt7X3nlFTz3/PP4whe+gMuLC+z3vdJHGCWC+z1AlLILdBrPh3l9F3QajZxP1mu88OyzuHf/Hvb7HdrSYgOmpJuvtiWaofTaTGKJNEoWIDLHIhJRuMdxnvWoZkBbUz6sNz8IK7D3VgQyY+UblShMrEFUNT6UkmZRuWewEgjFHm4zMOl0AmJroBEHyv4dth4gy6oqp9xLjD58Rh2RbSaP4iA2zALKOYe6BBrXwJuLqEsY+gRWtyH+l0SIxi2YE2IvM1FCSjJEdBahx56lCKq0rKWqQZr9sMYV8cw8g1rDejVhvVphNy829KZnzfS4EvaNsb+4hrRq3ONkmqqERggqhG6bHpBo9KxRehwaN/a2v1xr1sv9jQXX250FYyWMmRu0dx8m3Hl3hz/7B5/C3/5nDyApY9syrrbNAhXg9inwb/+pl/Fz//wuBBOSaBYk5WJlQv8+HDj38bAfHa1RF5WNyxBUVl1aiftIQBIVWDFqC4sgZYAoK18ZvdpjOQaUXJDAqHWPy+0Mb94D2dAom77nQZQGvjwEdBaYDobrgKKUhgzj8IqsAMj2tTvbDJIFP/w9T+Pv/NwdLE1pJDdOT/D0U0/i0fkZLs7PwBA0FHz+yw/xb/zhl/ALv/mGGuchMHNNa//+ulRUWfr3W6YJ8MDXT7OWmNdHK9S6YGHg7GKH7e4edqwNqk/cWOO52zfwnXceYt5nHdthTkR9t/ZP3Ht4BiHBwiro2o01DPQ5D1KfdYYHVLrXCwkSmk3ezOZ4dP+l1EGf9ndkLKFhnJWuD1dl6s+vZK28LLIg+4FPCWDNrqYYCqd73GmIxAlLzfib//guPv1Kwmc/8wx+zw88jQTgnYcVP/Ore3z5WxssUgCqSGnSCoUky3qbvXKwSWTN6+bgrfKmtDJ9jlNxHX23qIjzCTDWR8e4ceMGHp6dYb/fxyRUtz0BLljpRZAhaIPlc8y2sIFJJ6+48oiXsQtKBAP+cu6pZ5z9uXoCo1VXRIuNf5AIGl9uO53SBbe5kbH2pIzuDadJ+loeAn2dLbEnwnuXwN2LHRYRVFZjx9Qss58U5OVsVSm/rwKfv+KgNaE3/WNI0lgNGH3YEh00rqacUaYCrhULN0yTqquIKM0UDtTsMxvbjJiUMSXbh6jRSMuSUNn2JRlAt+enB79XgQFrUs45Avk+WwH2Pe6EudtN0Xt44oknkHPB/N49tEWvVZNjev05zvMgSizG/4e6dP+OnID1uqAkwnazCwDrZ3NMfjh+8cGIahstGy2MJoLN1SXuXJ8DAlRMmHeMp558AbUmPHrwCFy3NutCZTNBlhUHA5bg8gAYor1g7rxzykFrNbcZlX0H5WTP2Adt9cCr21GR1DPxgFKkIWCuyEhq7JLjhG4bhBmtWtVn0DN37NMlJxUfZmgSTDn6HNTUbmvN9jhjIpJTUNsqAAXdWu9fIEATlElVndTUMjg07/Usen8hYFRgm9PSj3xP3Pj8GbE95vZMEycUlZqYbcGIhLUqNantvnH7Nq53W2y2W+x2Ww1SDGd5w7N/tlbnmzEcLBkuoiIHH+L1oUE8gVAr48H9h5i3O5yenuDG6Q3sLi6GaL0DA3/5Q1cjq8xksKl7JNgia1StXCB9fimTPnj7dhEZmqtsqiR1Ko5G6GN51iMo29ydKG+f2J1NW5QCkS06JQBgIENpFSklNFGj6tQH71ZnAwUpZUxlQl0ACfBB8UUBQgKNK5VAoznL7lEKI0CxpnSwpmNJ27P4B6UjV3iwdVAtVw+PcADg+kPyteBINiQLzZy2Q2YQj6YVnnziFu4+eIh5bkiJbFJo1Qg+Fw2dROAsyWZ8e/KDR6S8WwPnhyXNXp0g9QCIcrBH2G7MzJgkm9LYpef0pmQBZlrwt376HfyHf+kj+Mt/QvBzv3of5xt9e8mCjz0D/A///Mfw9deu8OXXtXHn4uoKSZJOIxSJwEG/u5mDQ2TWlSdatGG5FKwSYb/M2Fcf5NEDE+cb9hKjZ0jIqEm+hzUbRyaXKGlt0Y9mQFYpqWxbQ3TBR1ZrOH8AoloFB0HSz4nzsbnxUEbUPZpIR6nrvu0NzSUDp8cFdx/psKVEwOnpCV5+5RUwN1xfXUBqAyXCg0vBzdOCIozZym/ZG8At+NTPbZFpVdAFBa7i4KgHdqpWoZxDpAxGxo4r9juGlDVy0XByNSl3FxE4ENg0MQWWXSJCI0ElPztuYBUMeCNcyXq+j1cFm90eGxZwEgjtkZBQmkoENhI0tMiIgf25+KdS9AZQSlivV9gvM+Z5jmCMrG9AKz5G6UPP1sfkRta9md35J0CkYuGEb7ye8NXvvGdD7wSpTDg5uYH9fg8GQQopKALQSCAlq7OsTmsxP8qI5yFSrTckma2qYX+ERogsYY+ef/5ZfPrT34tf+7UvYJ6Vh+wBsX6ufxH634lRDS2IXKWEXDLm1tCGwLhXPq0B3S/an3YEp2JUnDCDdpg72B2TA4+focO/s2qpXSsee18Ey15tG66lf5bY/gIWyqiiTdiUGFIyRApYKtAalFmQLajxhmsPNGBA0k1DT3z05joF3DknG4w4W1KngHKyJj+VPFYVGZ13QkQ2gRlhJ8iCSbsCWH5FwRXpPXvfA1MsLwBtXKyi1csY+miBjO+v4mPsuSo41sySrpTlZsR6HnzvXFxcqM8RVs1vpGEf6PlW4G7vF6tKavQFwIIECJY64/69u0jIxtnX9fTq70h10MU1fxwiFGLD+RjFuNM6OZrABOy2M+68+RbOzh5CmnR7q8Yu9pifgdGP+7bWTC5FYs6r8/bg4RXV0cbHfkzecxb/F3txfEkgOt2vyXcydTw3Al8BTJRCL5RggW7Ycg3MctKGX8eKHEEIgWSQTdU7BVvvDNnzzEjIophulYsKJrQFGSYUAd1DQTWy9VK63WINxtl6MTsu9YCMiJQuPGCkcf8nC1JBo20xkYRSdMK0+Yw3vvMd7OY9Li8v0OqiohS2VmqzEPbcaX5u98j2fK+Y/fav74ITr0HZvjHa9TVQCvaNAcpwcknjQU8cwzYRMQNhxtJKwT7RLhmgUX/d+aCa9QFKJtVVbRXVRjtDAM9XamPpqCWMcP40bFAttYml1wEghdJEzllVDaRLgTl3q5nhZaM+JEoKMEDd+XBDawSWXsrVBzUI/lMPEoQVjCUSBWke4dq1HtqKLrvkFBwBrGveOKCiDWH9dnWDsaTeyY0evOhGtPHnEDCaJTuUS0zUVy+oNpSwb4zL3YyFfS3MMsZEVwdlavDDZRmnMBmAY+ct+v2KUS0G4+MU4DDKJMEf1qU0GpCDMjfc5jhS1vs52xH+L//t6/jJP/4s/pd/9Xtwdl5xvml4+mZGzoSf/ty7+PxXtjg+vm1rQRCjhCQLvPx5UPJsoa5pY206nbFTjiiLNp4mdG6eZUtzAo6OlL87z8b/g9OJBFSU15pTMilDbZyWfIqbt54EuGJ39RCEGZlcSbqrC4FGh9PBAky1x7/HQX9kbkDGEZQA0b7PNWFtQDAlTEVD8doER2uBXGp59eryHK+/9iouLi70jFICEeP0qGBZLLgHosnZs6pHqwlTUalUpqZBre21nDJKLqit6RQ+jMbTtbD1HFcpSNkMMgP3z69xdb1F5RI2SJWUCEQZSBxNYwICU9HnzA4Su+1wA1uZsa828E6c8qMzCpQHqNmUkrM+n8ahklCtcdY5u00qjtfHuP3kEzg/P1cZQgeGzGZLvcHcrt+AqjSnjXQKgvodC4JZUL0hXaw824CLiw1gZ5CEIA4+GlAXB0cpRPe8PO3nKvk8BmHtA7JKmGcovazvco4iwIOHZ8Cr38Z2uzsAsq7OlMgDBAcq1AM7EUw54eToCE8/8zTunz3ExeYaPmys74eOzR8HGK6NTjnBJzzCkwRu9w08NqMKELmNagY2TBOdMvo0URzY2i5zlwwcImTrmE1ZaTDqZMaYiUC5gwkGg5JRlDyLb74mTxOOjo5xdXmpFWDpfsJJFMxe2fYmWKPAATrh01RSePBHLqPs3nQ/zwBIG/NdoGHg4LviiDBr8CEESSuUVLHCgtYYCx2BqUCpE4K5VsXhDOSScXR0jGU/o9YZgozalJrgvreUjFSSKkYxoNNwC6yUGc97u92BbGikJjgcWOcIQP0Ma0LEkjB6qjtQFl2XeVYJ22Y2niAouShG8GcUFfS+CfT0xwxReHJxtT7GUrWRd7e7xGvf/pr1GFV4s6UnARVYGsWy6Vn2wMP3rG7frlsfDt2ehwYt5nP87+08gdloJTavxD/P9q45tXjevsbuf30gleMocsoJIc5Q+H87h83suaAnSXWej1GD/VmYzC7sWSMlw13qR1zWMlsVcm5sNrmhzjtERT+JYSQ9E60xUnJKqVfQzEYVU1QyzOOnKPn5dxw7JJwcu/mz94FXbv+YGfN+i++8/loAen2M6n9IcyfwvkSVoTWZdUlgJktcAuJNg7/D68Nn4s0fNOiGv39xBZBPZDSgbg/6oGvZXw54HNiZxJwIUBctnY36mU6LWJnu9m6/h4JuwbRaBTdPjM4iUO4LpRygw7lUTjNRgxzmHo7AU9FN7RPx2CIEtsMEhsljufFV4NSHY+imXeocPOlxaJS+aWhitWapyvrwvAElTtUInjwLRN0JBIi3qNsz0NmbcoBo3ongRvw5agmzNQEZp1jteQaVhBgsRJqhbAmYoL0KVYDtUlGvN1iqam2LZSNU6k9QF29C8lv1g+BP1rKvvizwoyMHQZhnuYCeYSdSidFQUjDZsEQFu/0cTWh66Bg+8AEiOLsi/Jf/4D5untzDC08XnKwSzrcNdx8yrveCJgltswleXidCPWaYrGTNzr91QGld5g4a3FC6ASYCTo6P8D2f/hTu3X2At966q0ooSmg2LhwMhDGaWBNMuYHbL34Kf+xP/TlsLs/xCz/zD7C/eBdt3sPl0zw66yoOfd949hxmvOKAAdY8mvp+sYY8mHKKvt8qCfa/xgtqE7z57iW+/6NHuHNvAwhht91hv9/p3rHlEwA/+PET3HnvEmDC6fExci44v7yEb/mj9Ronx2vMU8JSK66utrZ3dYOsyoSg1EVmYsiIsTe2KSUtQUHhTgr2TasJlLWJFcI6NdYDH2mgSiDo2HYYgPI1OqBUkGbYtov3zYh5eh2iJMRg0cqLsGbeximGo2NxjWSd7HnPGoY7fYkHUAjj/nbqUbLyeEIpOk5+WZZOn+qRr/H+BVMpeOKJp3B5dYXdbtcRr+1fsik9mk33Jj11rL6v+iE2+8hdQUjMamrQzmFaWQRXV9e4vt4dNHX1QL/bVB1yJ/DKkzcmNmh1aj/PSleT/nw0eE8IjX8iQFqoZ8TzS+6Em4kyaKZwKiWoANUmdAPdDx2cK6+CmW0ROA2oBzEehBBpgKSfBUQvkl24ViU9YAMEFUwElVNSOKjuIBs1Ur9vvV7h5MYNXF1dD2fVAJWQVg4BTZT4tk0JkARuFYssKu+rSARO2Qg1DECztSlr5pKGrTLQB5XStcIqKzAUykh5ws11wYu3TrHdbvHOVcVWMqIJ2RIAy7KgMWOeF9v3VtVxkJSViw2CASo9XyWv1Q6I0iBHgQfLs2hejVmDGNaAPYJCzwSHp6F4ns7RF9GAgUFd3IJUArgrSMUJAIvTK/QacslotUbyUUR7xJrAMMMebd7HevpAI0GX1nUQz2AThkvRMJpIx/GIbuDY4wZNwcKoTYOO8K0G6sVwh1OEpqmov24VPrAxGZ6AIILsPidDYEK1iESoqaT5GYjvM3utQaklRahPqYYF2V4BaZ4JZ6P25WQiEZqJz0X3axPvfSO1P4CeM+q0Y10jtsSw7qtlqXaCNKHpamEgC8dLUlNuvlIpeGyS1kbdIcTzYqPEkn2vYlCBzNrgv7QGSjkqpjo5WFkbulY632K/36G1qnkWS5R4n5vXzj/M67vIxA9gHdpoU6zsZv+AJO78h2y6XYw/v5Fe41GwJpYYGTkMhX/jYoMirBqERISjoyMs84zKYg3r0sGibSTNLMJKxl1BJLjxqxIHR0T5uK1WldgbGqY8Yh39uZcyA6ZTLx0NFwHXnnUg6B9CZDUZeOkm4ejoCKenN3BxcYl6oBvbnQPMkDM3ldk0ZQvPPiYTveZwwJaxMEDFLPbXJr8npvrAQCorDbC4AmJ8xCSoIFATFDGigTXwZANX3uTCRp/o2ae+Nr5mAEzhpQdr+jN9fX0YxGIZQC/LAU5Pt0xSqxAknJwc4fj4FPv7D9Qhi2Zc/NrG/dTAON8SLt7WQMWpE4JOV3Jn7VQmC5cigwwCVus1lmXRBrLYD7reRFqV0oyY7wM1zrt5wd37DywriQgqkwHGGIBhdKomAOUJt599Fr/rx34UD+/fxy/+8j/FcnUf4KrnIeuaa1a6c3sD69g1a3nOVIls5RUC6fdl03k+oIJBda4Z+tmSEpIUVBb87K/cw3/wb30SX/jGt3CxSaiooKqOoJSCW7du46hc4A/+nmfxN/72a0A6RiorzMsMl3wUYVxdXWO/2+D0RAG+l6aJAK4NG97G2mQDauR9LSI4PZpwXAqutxublqxOn1KOPg9Qw5Qqiqa6sRNGBSML9JphDY/5MGDzCloMDxtA+ViGTVkz1GxKTNyssjXsXT8LIj2QZu6DgHpQfmgjYc8NluFG9ECosooQwMuiDki9rn8bvMOLRbOwS1OgqooSvufcbg6HcLRndv3+Z03U9Apb5KS8j8MUsRxciUD1pKlzicczyfaMEhm4zgnJKqsEDV4ebba43Cn4kaQVUz87ImIVVNvNdn6Cz2wgC1B6ZNK0rlbNTL7w6ORYp6haAiY0ru08I2UQMmKlhsbQUTVMmwzz4FeUjwxP9gz/wewOEbpk38C5PkjYmB+9vLjE9fUWrWqvEdljjudg9BOv1saeFcPspDYwghVSGpb3gDmljkoxo4yofMYUSdKEyyTASclIaYWreUGWipurE3zypedwtb3Cozfew27nnPgc2Uoyv7hf5qCTsGn6E4zXb+Cn2fT2nHtiTi9cIMQmyWycfzLuM7p8pWZUuy8X4oMz5kFaygmnJydY9ntstxsosFTan0scjj5e/IzAA7qe9Dg5PcWNk1PsNhtcb66xLD35MNI0ss0mUHW1E1XP2e8M5yR1IrAqTNY7YGlmH21fDqBE7I8BxEcI6LaE9LwzC2rVQAHkVQs2OoeC1dp6oKr7IMX6SxooZLaGbJzv/pUUe1pNi5iSULJAus8n0eFQ2ryvvWMKqIswjiB45ugYx2XC65dXqKQZerfLIy0U0GdJtiDKUshdfhYJXL2BloHGKKJUGA3kkmb2LUHrKjyPJ8X8/hyf+JAzT9h5k3ZMdCfbf0YdcwlfTSZ5nUL3+bRaAdCkoK/R7/T6rug0j/PBmk1QLblAjOqShFXdIkpuYotu6gtW6rOzAZDpZsMbZ3Cg+tEiqwLAjM12uwXXZs7XD4NnGAAndruhH6eEZWs+EGv4ABCDZMYBLGPmBPAS8pDh8O/yn/KHa01qVrCAmeq+ychBgGUJmMPZhpGIM9h5nNyAUpTX2Fq1ceQaXbsx17KcGuZmzUNubOxkmHEmuCZzXRZVeMk5OMIwR6xSfIwshCwZaTWBEmE/Lzg+PsbJyTHOzy9UVYQItTVkkggY+jPVZ1lKUY7gsJ8cSCRgANIW3Xo4OqB8z+AoFQXY7xfM80XsxeAQ+72nPhoZTcBEGqWb8YVYQS9ZBcIi9SHnEPYwysjuzq17X0Q6lcMDJ7uv7rwK5rnhrbfetUqMNy5ZJofpoMHO5UHRGt779qv4W/+3v4H99gr7B28jVVWRSPlwOFBrRk9LaQAi/d+VmqbBl4NHTYb6kBczRMj2H0BJlJ3IDURsjacFr79X8Stfuoe//m9/BP/Z33kDdy8AiK7B0TThEy9N+Et/9NP4Z7/yNl5/j0GpYrttqGzDRyymXZrymevlNVzKkC2TpWDLAGASiDjdAZGlO16vcJwJu00DUzHQZhxLy2gmYqwIePbmKdZlwp0HDzAzUKkAlE1dwfpicgGG82+EqAObMDoo/ykF4c6HrhGoi4xcV1gFzE7kEIykPM4gGLN+ntG3IBEj2NMzVaYSmuA+LdATGyoLyHj46JH9u9M2VLddAZJYts8TFq6O06sJo3qIpP57GPhWuhK9796ADv4OsvB2pLtSTQ9ecs5Gs9B7rmJKYR5QJPUf1HROAhy0ioMk7wNCZCkTERKLihiAweSV0IS9zazwTL6fF4eVB9cPCRAi0jnMbsdkoFMSYBlioyH1rA9mC/hKcl/Yncnj3OvYd4lQ62Kgm8Pua7bazrL5Et8j2lyr20cHDErsb6cFOdUtZ3U2Wk09BCzr9Tr0x1POSKnh9NYRVmmN7b0z5AxUEnz9zTtoXDE3QTWVLOQ+bVnPhyBlV6jjaMr3e++ZZt8zbJlmDVQimEgJhXzIjvl794caz5gvSN2GU6euekN5rRW73U6bHjGoFMGq8Q7g4MGSrZlVWLwTK6WEF194ES+/+CLefeddvPHGG9jNe3hrcVS04Htd/+wJGDJnr8GsqbDZGowN0XGflHRysgEffYv71B4YxhpGUNM1yVOxREXKYG5Yr9e4ffs2Hp2fYzfPPeDxBbVrd9GGBE8+GB0GA0U2++9j8eOcK0den+FqmsAMzEtDheG6AqSFUbjhlSeexJPHp3h7swUnFd6A+VY/K6OSWMo5Ej4hvT2eK2GQ0bIyC7LTtpHAJs2MpBTl8XmNCZ74s/6jYstslQIQUtYUYXI5XUj0bDIzdtutPjPr6xzLXjln1Hk+CNJ+u9eHBvEpU1TjdXN4ZKobapUnTJN1sxMZkIeCJLKGLVM/EWHjKiW7eeWDLYsO/+1lMlt86ZJzBKMuSArtUp8Q6Jkr3XRsdAXGKq/iIfqGlIGf6vz38eHEw7OHND5IAF2hAIfGjgC4nrHLE+l6WYBgDDF/jwJMwn6/17KPNxjawdTGL72uZam4vt6GA3EAmJJxu0RiL/jahmZu0mjXxzRPeaUg/OKRlpKbSWVBja40Bqpm4LOVppqBbQFhqRW73d7KXtak4ptXPANOccC0/J/A+65IQqRyjhrR5nDmWmY14MBuxPtaj5+5mI58fzZe3jYwQkml8VrThhZmNDjAzershUDsAMaCRhoyDfHdiCqIBqfcg4zIJo57VSN+FtGmGniApIAZ5KoyHM7Hy6PufKTNWC7fwatfeheECtQtMjeAMlrLVl710fbqIIW6ofHGgmRg4amnngIRBY1DRLQp16ov2lRpDTwggLQAXUrG8ckJlpm1OZIJf/9z59jMDf+r//H342uvneEbr1+AJOHTH7+N7/noDfz059/Ez3/xEswJxA2VoeW0AKN67gUupZgNDLux1L4GQLMX7p0VMGrZsdaKsjoCUUJtjGY0JkpKoTleFZwen6JuN3jy5i288MxTON9c4fp6xhaEmpI5G3VCVjzrQAGHmRhAuY3elKXYUZvXnHbhpeng/zsoEECGQC/l4XxkpwoWtNrQfD5C0vdwfDv8ApGLThXdbLfdXkkHGeCeBPA1E3jAqcrKft8iCEqXOmm38z3QEM8Mkme3FVE4A4ncqdnu79NJD8UO/M/uYGPICTvPV2kT+vmaBbeP7Bkt+58usQ6wyWWKgCRZ06awyowWAtargps3buLs4hEaKz0KSYdVNZskrpRxDYi9J6FftzejA54N1Qy8cuV9gFAoxLBSDnMuqsrRGDdu3cStJ57AO+++i2VQ9fBXb0jtYDz8ASnIIE9SGLbyZEMEmxCs1yuQKECMCdwBRimSHC7rSXrUdYCc8eanUhCBffbr0y/dk+DexTlWpMk8JsZ53UFWK3zvD3wfrl+9g4u3H4KDFkFW6e0gwocQFadPDPcAo4K5JB97cGXUBd8LPcuiv08gUPHeDQevDo5VmUTXt681BNjt9kbF4/4MIRF46I85NdHeBPQAxM722cOH2FxdYXO9UT60t4WS+/OelPRgdllm9CSh++oO4L3h0V/toHLTz+eYrPR/z0NVg4iH67G5NhZIgxsyaUV3u93CVc1UjtOSD1AcT4YDAqdBqUrRVAwLuJrEmuXUJwPr9yoNK8PV1gCwVtIbNw38iv78b91/F0d5wp5tOCRgFYlDsYMRaDdpWK+cgqU+mJug2NDKbBTW01RQibCHYG57zMJAJuSq1RhBTx6Mymrqpw+DQmY9UyI6MyZsngjgnaMRhBkTwChJsPta9jNq7gHbh3l9aBDvWTIRX0A3chm1Ndy6cYrSVjg3SSXtQp8sAdwj4YPGEPHfdxf1vgwEabkiYjrSCMmpJrAGvGg2ipc5HDZHX0q8X41/523pA9AsX8qDdql/X0oxgtsbbx5f39F5inH/FQBI3Jc3FTlQNMgf9+xqDB4ph7NrHfTvd3tQMoBDhFH3d6SexMGxyF65n9rQNk06uW1zdQ2pFYUYmRuKJG2ASjoVNIkeMlH4GAaURAOpZZ71UCritrXR9UhJtVtTSlo14IZ5brYHZHDqCnQ8+NBmJP2X7GW+wXT6M3GD5YbPS/Y59zXQRjXGTvbxPqdwkQUI7EGC7bGUlZfqY9s7H5bCgbuMqMtpfVDlxn5Sr4nIpvo5J5PCcAk6XSJ6LKBOjBJDpGrGMAPgBZRFn7+kcBxu35NlSD0To4bGNcoVeOx2O82A9OQIIsdECsTckblzUhpbwsnxMbZYrApEWFjws1/c4GvfeRPf85GCl1+8hQTgm29c4f/9T97FvSutdHgwllMKZRGlQ/o50rVIOYNrC58cdJDxvBHZOdP7mpeKi+stqhDEM55qgJBSw7NPPoUf+N7vw6vfeg3vnV3g4cUlrrcVSQhrAoSqNhBZxoSTObpIIChgdBUBwBqeqGecHFB6PBeARdimL3s2LWvzMnew5WBfYy3fF9y/I2kg6MGzbzGB4OrqSh1Wa8PedFpNl8f0bKLTfJ36QRjL0LpuoQvNogHEmMBAv2/PVHriIva/9O/3QNqf4cgrjsCAtRIzJlFU6aIH7V4l0MBJEzQB9knVmYgcIPmZtKqEJeIEwFIX7HY7tGZ7nQjFALZlRZCLOnfm2a0zBIRSJgt6LbhAt1Nuz3Pu4JHs+vQsdXrNPC/YbvrAHAzZ8JFCc1D1thsQETiRyVbd/I5WE70PisgoTO5bPGgkG4xlw2e8Eq3NjnopmVJwmHPR7CzXZgk2fSkgLNg3beYETZjShCeeehrPPfMEPv39P4R3Hpzj3fcegNklnfs99UpmCtWxMcBIyukwZRcJ4ON7ywNMHTJGRuu1ADqrwpiIVuxzDJf0Z9b7qbzyRaR9AXAfbnQRl1KdpgmtttjDgNIPwxbZM2+14dGjR7AYYzgHI13T96njC7trA/lEXt197PEPiarHMZKv3cH8APTMc6eJCQSaAAIk7EPEgyIxc0PXKGFVCgiERWaI4xmx/SrodtHO0rIs9swOq9j2ZN06K4VHdC8tvEcj3dOZAGZS/waAKeGyApvWtG/Ek1xDEOSfH5jNAjqtcEgXTDHloFwSFmk4oYLvfeYlXOx3ePXiHvYZkKwVlhUICwkavX894xmII9D+ErtpTTL159x/HYMONjuVlA0y2r/HbcBv8/rwOvHQBoRsndrx8fZFV1dXSNy0PO4bNhyKRpKJEmpdDhY8pR5F+SKQOXRYRkiEBoDaDQBII0TNNLoT0Kxq3D9ps6FUOVjOaLJAd0iRQbXNAjo0rIe/IiLBDsI1C+pOdtTg9kwcmUXy+7T9FUGSTow1UKVpOAN9Bhot7ZVTjsCiNs02ebYfXuolwfFqhZwyrjc7a5LSo+R6+cSMVWLcWBc8d/sp3Lu4wMNlNu6pGsxGRtWxrACsNOcRsSrLeLZAHakbrWmawMx2oDqft5efAQXhDcEOIasJGK82E0VjXx6CKdVK7sDD/zs9PQUAXFxcRIc3s2unU68iQQxkuQTk0HwMiiyLGnRDAgb62Z55Ti4/KhFQqEYxR3Yll4ySc2RYU3KQaJUW2zOxsWwPsjTDJBmCrFxv6NCiLEoTYb9ui/4pAG6nJyGAUMLm6sqk2BRAlhheJVhaVdBte80zpA5GHp09ArfOWRfR5MmdBw2vvXsNyleA6HRQUFKd3WR7TUyhwxvQ21CmJg1uNTPfut0Q4y6Soc9+qMGswG+ugjrv0UjnULCfcG4QXsDzjKuLM8y84GyvGVcWwioLnj05RmuCs/NrVBStZrnE6YETpR5k2r7NxkdvPAz8stYvhynM6GBNbxHq8hlebRHqeuIAUPcttoPGORxAwcGCOmCHcc799Wy5ROAEd/DsmVsZhqVxB/RDdhLwvhQd8OUOu9kgs1xyqFUxqR3KKWHe7+29nr0ds/IDyLez6LJv3hOUstsE4+kOIN7tjSpbDRJwSRsnm1E1lbfta6wALFHCydEaJWdcX1zi4uraaHo2ebwprTJnndx688YNlKng4cMz5JxQ8oSlNhTLSi+LSxLa9xzYd8EY7EeWtKlkYi4Zu/0W+3kXAY37ibEy64DZq42JEurSBulSBB3Uk0b+GR5QRX+NleqVYpSxWk8gAvZzw5gMUbUo6JkTrTiqEo/6V+fth86/uHywZptvnNzEpz7+vXh471381N/9aZxdXqJWU0sxwDeep7HiwMkrLT3wS2YWCRrwr1cTck7Ybvd2X+hBriUDPOjSzLMnjMyeQGyuBqtyFnrgJKISsrqOemabNW4nu3a9DjvEZoq8ETIRHQC5cR3Vxns1Qv8c9+icQfTvjZakUFJy9bhOORoxR9h2ckCN7ouHIPowKdltg4iKRaRU4jwmqzglEE6OjrWKXatmpk0VJqXkA7h1zWvTBl7puJ2GM2LxjFGgFXY2Yau0N6XT2v98v1ZLIDYRVBaU7H02XWLT72n8FfZMPUnrTbj+zNkw1Vwb7jy8j7007IlRSb83j2qBzmOnEXxLB/R2DWyfPU2TKf4pBRomVNFfcuCbxc6wMzL82tKIsX+H13dBp9HOaFsjy8I4XzBhbjaWmbSskpNPkzRjniynQZo10QVuVsL1Deab2jY6JZCX9e2GfdXG7JxHkLpZhomeYhJb/W0K+M24jiDbLa9ElqMfXmFGNecyGksMD9u/sweG/vD6ECiVnOs7PZpxLao0mpYtuPKBE+kwnWYTahOMB5uLOV8GtwqCSnyKOUgRAZtO+bRaocwKeFjEBt80BVZF1yvnglQm01DVdfDhA2ax4Co/OimSQJl0sJDnVqgbjJQ0M7BarZBSiuje8dioJEOANku7M2JGztCKAezZJk0gkNOR2Jq0zFAqsFO1lVqrNonYwJz4HvtsfZS9J8IbbZu4wU82ehqgMKawIT7OkiaP5KIcZpDK/7qflaaKCU6ZGYPROF+eoaxNbU62nJsQEuuaZ0z2ZBpAtiboGR4Fd15SFTtH5kA9iyECMGFKGZNJtyZKFiBkxHRkMYBFALFndf2+ATj1SQStzoBk5RAyUI2mAACrUrCeJsy7LUpK1nxaA9g0O9csGYCOW2dZDDxaNctsiFcWQINEaUrIJaFV4+0nPW/a91Fwdb3DV7/5bVzuK1plHK8LTo6OUXLCzZNTXF/ucJm1n8Opf3qLrpbSM80B0mDUwoG3G3tEDYOVVhMcn2j8x8Ebj+nTglAt0ACXbBK136/azThX7jhEKQa+/8n2ELHRt1RCQa8+As6M0+MTNG7YbK7CEeWpWFUKB0GkhwleIRDRvaSyuIJMQCZByQktGsoYYzlttNHu5HoFFlGJODk5BrNWF7THyZ1bBwshxBS8f08IHPoCCCngJeVeS9OmbCZChSDnCUdHRwDE1HokaCv73Q615qDJaJWITUigwpMUrk5x8Pzhz75TviKLZ4ClAw6B8+95ePs4ydF9U7Nnmbwkb/YbAqRU4F5HhjXvca9dgwhYKjZb1YNXiob2YfjwG4t/QhRCKzMc9s1pr8wMkmpgiQHKuL68xm99+WvYbTbYzXswVC6PwSgpRfV+5AV7dUpAyNMKKREW69UhNDPLWgU7Xq1wfHwErg3zolQwhBpbPx/cgM1mE1nzTH1AoJ6pFMIDoJ5ZhVXbAUadVV3Ed2+rNRR8kgV/keF2qBqO22iCAutT4YP7jeo6e0OkBv9OcfJz5vbcf1UsQv3MuNcVO7OCWAe/khG4jxl7Ia0mtdZQckbJKmoRijKiZ62JYLPd6L2wimAgaXKGEgGp+2+2IWWemQ+Vtqx4T5jBCXFm2OwUW0LDiNBqt9g2b9KH1qzPLkG3f0qdqhenTsb77PRbAJrZptxtR3PJSsHd/ZUOmCJSMOzUZUtEwbHZBwRDzr5gAahklDLhyaefxvVmg+vLy7DT7j/ej0/7me9NwZ6wTkj9Fn7b14dvbJXO/5LmIkv297YITbTwG6NqwzCIOXw37j0685KWDH/vU7EQD8ZMiqEj0os5KM2yc9wDvGdr+hCNZmmgAJE3jozBQ8/Ajdcz/oyWFxWMC/csfBjxAZsJgOyUBPLV0GiT4eG2AQUHfeEYJABiLoQyDYGPsGpmm/SlwLIpybMtCTdv3kSrFVeXl6jVmmCh+tawnwkJzUSoTLicK67efQ8Liw1+AQjaGDclzXIuELi03I3Vgh/65DFefv4EAsGdu3t89fUNzndeNtNneHl5aevn66+RoGcoD6N2xM8CjPWkCkJcqwYy4hkW3U+jYoLzzIkY280m9GRzzkpHAtSRxXMbjJ1F6zllGz6CaAo8ACE4pCwJEA7b95bSnKy8i2pZGXPgGKtJdrr9/UFx0fVzAA0xCUUbrKPNhir1KmwgJzjx/tlds9bnFBAQ/M4S1AXdA7PRojoYUM4iyCoQUJCsyWI1RDr0JyvlAgJJnS8rtm9gcmnNtHLzIIs2rSa1I00DripxJADofvfVMCuoS2Zn3puKG2mDcyLtzwaUr8kEUJqwvnELl9cb7Ktg1RZ85qMv4+Of/Aj+2T//Vdy5u8WyVzWbNJm8bARfdrYH4GVfDIjvH5fTtR4H3ycW34WiEbrxj5eV/hWYq+JCgD4PFu1rtSpia2DZrJgsCECEjSJl9nOwZQ7mPKkQXHvbghH0SW92a06dhBhdyzjCrWfvkoG9tlS02syW9WrmENdYP4beWykFKQG73ayBtBnNZZk18FKkpdUDk+BH0r0jzeV0jZJmGXhlQxnIsnHsrXIkRHa7HWhJyqctBRLJIkvoGJguU8Gy7LXZH2pf5qb6/WznT9dKQMLokyC7zxDzH1Ftc/QRz1+sGkem6d0bZ4n0PEIUQBW3P0Y/FAcMlpAg6RVdO5l2W+o7dO31LPl+Fae2WB9GteSQf8JUVIt+u92CpVq1gI2W1H2o1U8MbCRs9zts5gUAoUw61TklgcRDFMMQer8qMKFn3f8OYoghIb4zETClAhLg/OyRAmMW+NCeoOmIBcMwlR0YzcqAZbI+FrGKzVgF8Wetz8D6IDzYAgDuM2NURU/7R/yZVH/uztdHrzwk0p6b7qv0o6Nq3q2uBh3JgaP9HLmNGap6ZrcP7JT5Nrf1LmnII04Jb6brm7NohSMRtrttNGWKMBrrPe6X2ivM4fs60OmJhv7qgYrKgMe2ZE0NOu4RM1AqZ604Q5rSkhJpVZNI+/JcRrZxxaEtJWMkeEVUoD00loyNaod+z/jeCnQhEjs/ZIGmal31Kpmvsd+XJxiaqe0RJSy14eLiErPJqDr8nFYrSx7qvXf55u4XOotC91Ljhg+L4j88nUZ6tClDdOEPHSK6IGwH0Y0NEPzDMeNNBj41C6IZQacflKlgcb1Vy6xG1t82jzoil49ULrNWlTzSsxJaMlgzRE7uWIIuYDfVD4SDIw0A/FR5dD9gdX9zdyyWMo7jTFrSgzeuZNIFaQ7UTWc6myymIxkhFMoA60RZryoo+mZMU8E0rbHd7qLsDdJnsiym4ALBUhtq25pilQYrTRrEMpcgjZb3YtliB38OlkiztzllMDUADZ/9zDH+3L/2Et65u8Frdy6RcsJnP/Mk/uKffBl/95++hV/+8tZoCYzZpMTcIEFsCIluAj3E9n1KoTIDjoz9UsHGhUspgxe20dP+PE0X2Y2E7ZFSCo7WR9jv95jnJfjFaGZ0gsfnJWTPPplSBIyiYGE22X717Nd48JzWFeVrZs10mDPtzeAUjhXBt6f+3W70k3a4u4KDW0emBu8O0MYzzRL2DHzfiz7C3kNHv1+yatjp8TGmMuHi8grCOqAqpxxSfbAg10Gih5+qye1ZVK9Z6YLpeHPjYJNm+nLKqFX3W6aM3dzAXDFNGS8+/wLqfsa7d++i+lmFlnZr9f6A0Zn28qavkzcf7+bFkjZ5eBY6Yv7ew3NVPZCGLIz7D88hKeH8aoftojMGbt48RlkTHjzaoC1iti6FdN04kbGDMQscTRfdZfoMgcBBC+DA3myn0bEghFad06lZbQI0SwQLsKDTkEtOqFI1SWJAQYb94o71cYqg71Wye2AwNpuNPbvu3KtnGqHn0/O9/cN0z5GBN7f9zC149rruwLReA1D1IwcoyXE5a+ZblTA8OaPnZr/foyd3PDDqdDNjAMAHrnSlj+5PRFwWsEBkMXtjcx9buGWwCPbz3igp/tlsUx077U6Duho2y8vebreB7tgBp6DoeS6TDinzao4HABo4pb5NgMgSevVER8oDSgkiULbEBxiuzqJCANnuizXoJX12Dm4FgFBPICTjaSX7fAXAPQDJqeDo6BgvvfQy3nrrLVxeXUTfFRLHXAmXXWQiZCuTNLCuVdI1J6l2FhKEmiZKOFnCicHSwD6IjAGWiiyM22s9v3Mj7NiSg1A1n52BI+/XGRtmfQ8QqXSiADYIUHDj9BQ3Tk/x4OwMSzMbaoExt6qBrO1puO+3gEplmRlUJggTCgmeSIynJoA54wELzgG05hPmnXKqfrM38/bqklcW3YoEKBFt5BST1hQc0jocUIwUrlAhYm3ipkgQemKSu/0HKR5iwXq1UrW4xtgte1TRoV1u7QGg5AIm0YA4USQuYYGFquMdYqHVaqU2eb/rdsr3PAARivOb3LuQsSWM+kpRhWYkJmQoT71yz4i7jUtJM+BKqzV6jp0zIrNjlrDSrenrmDxK0unCjuv8O8xeBY3ZXmOlzH7M7KbSta6vrgAYvjF7NNk6AxwMFIprJFCypN/QM+Rn7MO8visQP3KPIa5m4CUhMgUJK3nDspI5awldJMAbN2uqsajXuc8qF1nRdlqqU6CfkKapNylAoszmMSw5haF5ubpn5BHRsX9+i6jVs6vOWUpZjU4Vy8hFNsukg6ptMvI1kQCoICCLGjAwgylZZK7gmKz87q0OzrVLKWMhBlvDVhKAWOWX4CWuVgO0qEPNWB8f44nbT+G99+6B571uEMu0Xl9fh+OGZNQoXeq61eiGt4AH6pOYoHxpa7wDKVe9ooGydoz/0d97E3/i9z2D/+y/eQ1v3G0QycbVv8ALzwL/0U9+AkfrB/iZX7u0RskOepXfBx1ikYbqh23aXv1QQ8GSUC34OTo+RcozttutNqh4hE8dcCRKQZ9aWo2f0WdGAeC7EYTtU9s7OeteIgKyZpngDU/s3FIEuLVchH6WAyYAXX6u5ygOI+5+31Hdkk6VYNJMNrH1hCRjUVOy8xWfaoZCaQpE2ZRzEAGqSMwkUgPRGpZ5AWoD1z41EGCYwjQCokfQODRmwQNmoxHZNSTL+LMwVqs19vPiR2HI3iSIZKAJ7j98iCSs8ojWyS/SsCzGdSTHwsYdl55p9vNLRMp2wHg9vu7K89cMja7ZkgpevXeBt8932NeMRAk3To9x68YRNtdXlo1TCpcHVk6DyFlXZ1SPsryf2gi1VmH7xLh4jzekebAW1EEBSBiQBsp2D6QldXc+ImJVTg+EERk9J9ALDh2c73k/JB7wOE2Gm4BJQEaZKyl19+09RSkDOevUVhZk621ic7bCglISxNRcANWXhvVkgFypScJ/ABRsGxHNjjljjQAIDfehGRAQlGamFRoKE6GOMUUTsVjmT2lKtfOIY/+RnVPvs2Dd3p4lFacU2XrCz0YPwpi7TdOgoWhWuNn0YLNXrVZ4gomGhJE30GvyQv2TJn4FTudqaEiWoBID6iABJQUCHlR3UrIG/ElIJ6NbYMFEFqAIyHjTjUXtcvYgr9tGQDDPezx8+FADGqMs5hB7QKyFtRUYl9vPqqmWBM1Lp7GXbGdBskrpZgGIIWx7LguyACerhN/z/Z9A3c/4yrfuYM8JCyVIa5grA9D9mHK2mSAWNLOrwenMVLJrUXEJlfOTVsF1iR47iPPUlcKRkkulKp4A+0rrd0gDkAinRfBjL9/Gn/6RH8I79y7xU1/6l7jaViCtjPrL2uwL9fkWCiIlz8D2s+BZdgpaE/f40K0taVXGSCudi+0g1TjbIMFqNeFkmrCdd6hStTJWEopR2NqiNMUMwunJKVLOOL+8xCIuR210S79+oqCdeLAoeryjwtKFH/TMNF46VrSqgFdw3V/qCmsVqGO5sXIUHh0+gVioV0nH15i09E+H7cc8MCz09ij2RS5DD47jyERmEkgrf9R7N8ht6JAo0c+1oZpNMWzxezUKmhBj2du0cetxCa6+WT1prHNW0JOJ8Of6IV7fhU683lApHZT0skJGKSvMdVYDH1kLpXYwgIvLa4ionJUYn7YkYH10pBw643O7AXWwk3LGVAquLMJxMBKZBjcs8IZFf4qesbWsKiPA/OMcJ5dp1M5rDkfp+9nLPojH3SNLB/GqsqA6+TADRjCpQwNfIjqYRDd0stIojFuq9JiMHE10njEA9YPNVTPs19fX2O8XBUuiUbi/mBtW0wRBOuxMPzig9sOizZ1CtuZ2k56J9om8BQkffxb4M599Af+H/+qbuPeIQHkFHx1MyHj7nuD//Ldfx//83/0U/uV3rvHmPTXens3WE20AnqyEL2pAS85afbEmtnYQZMGm8+p+m6YJt27exNX1dejON9OqV41ppRCN1R8vIY9UGHOrupcsGwyrwLTGyMZLhvi/e3Bjh9re59WZyIqGw+tA3zMo/nfeaxCf6T9LakCUMqsGphkdqJSigM9evZ9E8PGPfxwnJzfw9a9/HZvNNrIJarSA9foYy34Hlobdbo89iWYg7KEIiw06K7rWQvAGXbDTYzSTmSgjkaClTvlh4ghYa7MMhuV0NZa2s2v0n8vra+RESKWgqfUCvNk69jnbOerUO19R/ZWHSof/3aDd746oTEiiE2mffO4ZPPPUbbz2+msaoIrg4aMtdvsFLMVMh0CSO05E9jEnAqRaFqpTaHSLqyHPFkh6AsCfte+juLbUaXBSPZDUiaKUktKL7GwtpqbimeWETktQHEMHa2DFFNtjdsZFPyNKNjKqK+k967FUDriXmaWx6YIDVDUzqc8ywdskPHslIAV/npmix1W8PAjj/nsCnFIDwOhLGIJtxB5STM9W2TVgaIvsDcBNGOmA+mF9Ha5SErZN4hoaukSr0hD01alBYs3fzQKhBG+2RQBg1aZ30OxgPhVTu7KAwqeAExFy0smaWQRMqpBdOKNgwe1JsKBi0yYsUix7Xn0VtWkcug6UenVC7Y9SitxGdZ9o96fRKXhoEradg91+i3ZWwa3vB7bJ4t7wGMppQ4AWSSO4ip2e1Wy2L5UCcPdHWtEgs+tmIlGQ8hrlqIDypIEJxAJhvcabN25htZpw/uih7jlPlJmUrj9Tf24gwn6pmOtiFkN9bzhY3xR+VOKvnFKqfR+AoLUZxyvghSdP8bs+9VEc5fdw+6sZq80es/VgqP+y9RCbgZB5CGygcsPed8Da/Osn5YC6Z392oCl2b06l0v1vVQdS1bnTm6fYP5yV9krA0dERPvmpT2GZ9/j2t75ptEjCxfkFaMoqLw2J4JK8UgjB0vaQpt8bDZ3aDASwriELGw9eabaebA0sYR7GqYXuPx8/X7YBoAmwLgoC88Ec+K5TYhQQH86hsA8EMFREiAYVnS59HcMhP4C20gY2wnBAQqq1A2wPwjH8Hcz/5bBhTTgof5QoEiGexHYaoQegGhAxPszru8rEu9RiZA4jewrNPBmYzjb4ptamjUNu9KBGo9jhzzljNU1o3LDMFWzc92ROQEQwL/s+IIgGkG6/qANx46zXIOFgCSRdYzhnywRYJiayNGbssjlrL1kTdUeoeKiXH8kMhk7cNM4qCJxWaOYIswiEjYYgCkr6VPeElCcADQULikWIKs9uPQE8lHall88gQF0qalUHS0JoQrF5hbXbPpccGtKP6zSPv1fA0w9ZgCXSjE0iHSrxR37vk/j/feE93L3IBhycN67UgkQZ9y+Bz//mBf6Nn3gJ//lPvYvZRqV7mVxBnCoGBb/T/hv3EzfVYddR2Q0X5xf9Oa5XOD5eq1xcT+spmG99UmYYDA8eaNCn9t1KUBoGW4g3PONWqwFIpwOlyH6M02CzKRuMmf5cdL2dCubBRYvvVgrKOLJaz5FlLMWcMlJk5QjZkYwZNnXgpWScnJweNPs4z1lEsKKCVclYZmuicyNmIDRbybcBNhPAMj1JS/BEnqVn1KZnJU3qhAUK7Cq4y2IZqNEMLlDKhJKzKVMZBSoXSALmplUrb15OKYNb1bMLr8ZlgHgoZVKcPwcRPfAfeMrk+DbBpGew3+7x4MFD7JeqWuG7GcIESEKeMogZy2LUObsKiPI0kSyQIgJXsQas/sx1TzBqY+Xol4wk+cAYO5e1JMJqNWnlBPrz6/XK1HNsHkOC0g6guueJDPBbhjCqWOjnBuKJBYo/x94Sky8jr+oAlJWep9khApIN32ELmpFQ1hOeefppUGU8ePAQlCUSEEgCsJ5RwCVxAVck64kDvxhfV212dKAUSi7e3O6TtY0m6cjaq3WRkOEO5mPrgUxxI4WSlQIQBQmgzhNvjSOYdoDkHH/XtSbLrGm1zNrakypnOMBiUSWu09MT7LZbLPOsIB4UYCKcdPgcT9IIuACVCakBT5aMP/0jP4jzeYt/9pVvo1mVRJgAqzp7siCZgkyzKaUHAEesudPUOdw/eNBEUL62BztdblmHOrkNysGZgjtCAz/9+1zIghmmdCOYpoRpmrBdtmBOSjYR59T3IBis9KLNvODXv/oNCAmuq0CQlKYnlo2mbPrbRuODB/oUVczwW/Y+B+hMnrFOPm8y7knAaJXhPWksVfez2X1yvXMS7GbBv3ztLv7x57+Ed++e4975NZpknR5bxS0GejBBOnhOLGNr+3OaViAIlv0uMtXj8wP69HLHW0JkvX45aDqt9fO1n/d4eFYxLxWUszanNlUFW6/WSKmgaWebgtSq65QpBXcdIORccHJ6hNoqdrvFzp4HvQkJGTrEzumo3o82JBaIYp/BbZXbZcv898beHvyOAeA4HOtxTron2rzna7RxgFYUEjQ5qQkJDZ4Eh2vm7yH0tXc70mo9wCf+s1HRtIREr9bpdfrwUafuaQK3U0x1j/Z18fd58rjZrIYPCi4+6PVdZOI12urZCDXYtS0KPPceYSe7UGBZFmw2CiI9k9SH5AjAwNXmGtxMMaQUEBu/zxbTATwlewgCddSkv6bkjtwdpS6YyuQpbzCCDiAO0hjwOnh0aaD4e/JMqWYY/YgeRPqANXwAxAkkk0X7i/msQBKQ1JAmwqok7PYNjQmZGCdrwUdeeBY3btzGd966h/sPLyFwXl531slqlw4YKKmWb7OJsyAKo11KQU4JJeuUvuqT+8yICwSlTFhNkw3v4ThEo5MkJ4nzjI++cIJ/+qv3AJoQHGabFqnTQpX28aVvnOOv/puvAKKSftJYFXVSRikZ82yc7SQROPjgk36vlgkhAZBVqSdpeXhZdri44JhGOJa8xgDFDz0M0DpnXis+EiXunIo1Ydn7eGgS8gyNGRvyRpkhW+D0GjIwoXstxTX5z/mvPAB5hhzsuchqGncwUT8P4TkTAJ9WKcBSG771rVcB6NAwPwpuXGpdsImqBanPJG0icmpIygUsjKVVpLxCAqkaBzMSNaSkACYnnesgTasm4TjV46PkgqOjNeZ5Qa0zPAM6lQnMzgfUe2DbZSzKpVyv1tjvZ1BZoUntTcO2Z/uj1fOekup3iygH20G8G9FkIKM1GyIHxsWjc1wQQUhHti9sDbFJK1gOkMYzHg1JguAYA+6uNaviihE6ZAja99DG9em2Jhs4PT46grSGhSum1YTbt2/h4uIC+32FZ7MBy/6QAsWSi5Xpybi/HrhzNH/5axxSJcnsRwSfVgnICQwCk5EASGzokVflCKvVGs8++xzabsbFxSXYqAkCRBZ1BC3JwIBnrf05RAaLYCBawZjbmpC/HM6vO389N/rnHP0QZi+EB4fXHbU/Owf+PfPX5V8BmJ+wMrtpjnsDZXx386nePuDGApTUk0AMoJryiyYULGArBSmlvked4mnBeYXKZDJliPGmS56Qqeq1NeszQbXhPWQUi6pBVypGCTJfCJhwQ4rnlERtarPGYIZHRnQAgtyuUybLF/QqiNsvz6P5/nZ9fLUV/hx0byEnYEmQqpQwUI5ZFKIRJ5KY3UsJl9sGSprIch54DLsSwm63x263RYDKBEsh2blFP7fi90Jkdsjy1tTv1j/Hkz2RwiIbqiWaxAAyhAouUPCNS8a9X/8WNvuKC6yxxYScjgDMQFuM/tEFFHzicqx4Slitj0DgoLa6jfNr92fiSSnHLZHcA4zaYe9hURsmQCrZ5B4J87zgG9/4JkiUWqifr2CcLfDLReVHS9KqZ0qCp556GtvtDvvdGQRqn1tbsNS9NQaXvv6iNkIVZzjuwV/uEwM7WbIDVu2n+KnuLz3j3asQOiyymJqeJ3SA7v81aMaB+IGuGdt6WMbek2TDcwdcJtQCPdsjfi21Vnf7A9g/BNkHaoeAnR+zIdn6SGANzEOApjfRd8BYxfgwrw8vMTk0JghgpVQZsiCuqJEgXJFgMn2+UIMBb9yjJWlNJYvCEFoWysqgWm5wUK6LHWoOtoi6GF21RKNF7bRPRfWIa1UVBb1WinsKbi161KrfoiDDpxg+/sDGdSGPMkhwLHucUsNcVqg1o1GDpArJmg187rkn8ezTN/HVb76Buq9ICbhxY4Uf/ZEfwCsvv4J/+ku/gkeXl6iLlVOGA+2/VzBvpfZ5iZ4CXydKCdvdVg9NTtpsst9bts1LfoT10RrHx8eo1tA1ynVFBAo9JFNhrFcZ5xsdsuH8cwyRamuChoZHG1VWIG4KZn3DQqxz2wIf/P9Z+/Nf27Ltvg/7jDnX2vucc7u6t7pX3XvF1/GJFEVKVkOKVgzLsmE7lh0bioHERuAmcWI4cH7MD0H+gxiGEyAQkh/sQEmsdJTtSLaaiKIkkrJFkXwUX1uv+vb2zen23mvNOUd+GGPMtU6RFouAz0PVq3vvufusNZvRfMd3fIeHf+6oe5NONd1Y6ZQj27OQAFM13fnqutAd3VrtSd/X1Rmhf9YKHYgd9yRzaZxzoyDSeXChHBHl4DUlax34hS5+/Fn83vryRzAfpfr4/qUi4UGrKmjpz6teojPePL2J8+z8AsH0vJekBkMhdKHkWIZvTl79TLWgCEfg5j82kj3RxpAz2+2G6XCgtkZxQ5iST0iVwe914ujomHkujpIqWn3Kq4biAAQ/FEf5jzYbjjYbpt3B1tOVSsT7OADG0elbzfjR2+2Gb37zm+x2B95//wOOjo4ppXJ5eUmUiK1QU0GDcwjjeMR+Clk3nw7aXDKvBl0gOZq07Elr9cpeRznfGcKEbKL9nOUsiKPo62EhqurNnPa9ZZ558uTZagBdgpQYxLi6ZgpaR5X6wU+pa/+KWNIeVLTPo7KeiXoAEJx4QIVh2FiSlSx4GRSQbMPfppkP3v+AVrzPRJcqbOt3AForJKeIxLvjCib97CdZ3b/Q1V++ZLVOa2UNAwkWB54cae/9frHWIh5AF5NGdTQvFHJin2pd7u2aUtKaBcpxJ+N7bF+DFrV+Yu2NatqscTjsMVjlQ92ObIaxDzAyaU2z2XbeNqQmJBrnrfBf/ca3mZqynwdaK+hQkWzzKTSN1NKc5mE+OafRMiqXOuuylIEWBj+5o5wBPixnJM5Gyn7erSWYUpbALBr4RZdqdNhfW19P6LXaQMC5oAWUbPz60cAcKUJLnvpohQZVBdXkgZc1glrcYLwtBe9TMapPPLsfaK/kux1e9SOFTY8Ac4llHCyRBSCIRuSkox/NikhBk8lnzww8pnJWKjVv2FdFJTHUZgTaNADVQaNI7YLG0yBltkdHbLYbLi/OLYkhX7mrcXcjgI9XJIDIWtHVnwUtrjar2OU82F11OzAdpq7IE9VDS6SX83y03fLiCy9ydHTE3buf8fDBY/PnBacPQsRX26ORlDLzbPMTylw5OTnhcrejzGG/MqHe1APfnqBaUmvUu3gWk1S8ehfpviknA4hPTk7YbDY8ffqUw2Faek3iHusSCuQ8MIwDh8lnCyS7G8Ftj6Qh1GhkMF+m0a/gsVb8oyxJ/JJgrGKldVAOK9vhVUmCup2u/rnHIUJ8dvAhP0fn+W/5+uJBPHQuYuifR2ORoeB+WFu1TcdkHkMSMEr4qnhZx/ioQ6CftZrMXqAjKfVMGLGEoHh3viklrHneHnAl0xue5wOHwwHJyVFiM2hNndMl0hUnrmRxQfJkQSRUI+PzEvRqk66UcZqyEeEnXjriJ7/8Ar/y9gM+OBNqLigHStuQJXN5tueRNkwnNtNaYToo9++fotzn7Pzgeu+GiDWWzDyl5WIYl9YCkSRizcKrQDKUBLQ0SlsqKGs6yW63Y5omy9CjoSIcZ7y1l56bJs53hZduCY/OLPhqjoB2p+4X6sUbmYv9RG2Lg+4JnlaaZg+aV40nYtJkxgMG1MahG1XFpTV9MqVizSwx9j4la67rnzMM9ndD5cEvV8hHRTUjJ8vwLQDxgRsdZVVrhpLI7q1B1LLx5QxcCd5XQf7nL/P668q5HTJpyIguOtJ9aAcYCtTCnSql1X4frFSRfH2VGEwRmxdOL/ix1GYcw6YU9fNC7qXmoK+0Gs5H3YCaAsCXvvQyTx89MMWhYeDZ2QUNa2pMPhyszpUnT544nSD3RL55R6CpJ5hhrx7DZUkcLvccLnbENN8FqVyn1Vw5LyKZzeaIaSr9Lm+Pjii1st/vlpkHqoga2rrdjnzlK6/x6Wd3eXJ6QW2uAOINqYbWpMUTiDDkjAjevKid79+aJTHLAKWo1gEp+fctiWqnjXnZfr/fd9shQr/P0boYw2RiwB5qg6CSwpgHklYOuigdpWS9JIH8BTrdeeeuzIGC5GxVUQ+8c7LpzEPKZIXRg+M0Zmoymcam6jr0HqSaubA9ERzhan4npe+1HVlhGO09Ysx8VDIikV07xfh/+z3n4cKV5Lk7v7jfqwQp/Ij6HuJ/1lZ20AIuNVAipQXdc1UKmlVf4h9LaL3iElU1GhA67lbxCzqT+uCPUmLKqweZaQUsJGFMibk0Rk9w94zsiwWYWe1+bjcjmgtTUedUA1Iwmurg9J7IxtUDE1dvExa7yvIoPfBgVelStaZOjSrG6vsi6PCzOojRBWo19Lx6xWpIltSbDcWacwV/vsrJtRtc257w6NFDStmTh8xmM7A/NApQ3O5sojG6BWrplJ/ABleVzZ54E30UnwOjAhxpzQJgB986Vaob5+ZV4IS2jOSt9Suo6ZdnGikVkjQ2m5G6P1B0AgaTr8SSqkQygYhEPxOIVeq+8uaP8dyd2/zg+99nLpMFr34uexLUAUl7lyygbUYIad/FR+B+1CqpjRR9K0k6Tda8gFWwJC0JTagtjcPIT/7kT/Laa6/xi7/4i3z0wUd2j31N57kgWNB+/do1Y0+UndmsphbA10KovkQSknMmS7ZYQB17iFjLfbn4ndB+QI3FET4azCeWUjgcDhwdHV2Rmr7yJYutPT464rk7t3n48OHS/Lo++7HldsjNDgXg4N+zgCp2/rRdBd9EPOZN5o/Wif8ys4VFPGXlnFW9MqRK71Gyg21xnihf5OsLB/EnJ8ecX1zYYcM42XkYkCSU2cqZ2Qd+DHmkTgvqLRL0F+f1Oipg7goSyjgMHFp1GS0fC4xxJjeDc5ZVkTRQrjh3PxguS3TrudvUWnlw/x77wwGcfy2eSVV3Hkm94WjtXFNybpysNjnKwPa8kVUuaI0Z/qqNkoQXn7/GN994kV9/94E1D6GADxbSzPnpxMX5RNGNZZqaOL9I/OZvvUfKH3J2uaOU3JOItDqY1Q/R2slFAG0Zq7ifsM2vuORSXRD8dUXBGpUHl2iKJ/VUdoXaAZSW+PYPn/BzP/0iP/j0HqWFDu+yduTENsE//jM3+O7bz1AdbM18DcNwRF9RY+Gf21mOYNKDL1kSLlFxSpOhHU0ryc9Jjr31RGaupTvxMkew6g5fsUCjgabkNid5gBkovWn8Fx+z3ilFjvIlWZD4juZ5chjTHLtBckvsvrUbgKVktpat8mZQjYBQVk0zCSWThhElG3olSs6GTNfmE1FlRfHRNRUl0ARHab2hSgKR8XuUXf1hmieCloYYlWHnKPkrr7zK5viYs+//kHl2LrV6iVWCd+0O0tc0Z5vsOc97e5+mdLWrjHGwcXTS/9cDBhYkyhrn43kmfuu3ftsUrWplngvXri/BtDbrqRAxCTJEqQrzfEB1tkZ0SZAG7wOzIVqwBAjG8TYKUTxPKGBZxRBKBBYeCMU4bW0silJ4IOkVxri/sc/43kUSuLZtTZU8DtbiOxeOc+Zks2FqhbPSmDGHoWDO1WlO/SxGUO9InqolCOboM+NmQ1JL1lNujMC1zYZDmdlnJQ3WyGuoakHUqoRxZtSRJodHO8qVfE3C+SW8d8QdlXqSYhWk6nz43G1uLJRfvV6tincKznxPrlZ2sSfSPVh1R9obD5fkN+eB7dHGkovaTOpOl89afEQEVfH51pjf6ZvZKsBredRI69YJSoA/pTXGYeB4MyKHyYKe8dh+/ux9YNlsws1bN9E08fjRKQ1hyMqYG+MmMe0LpULFKFxR47SkLrRSYDOOSK3MpXR7GrRB2zg8iccTNXv3wat2kegvyb3td1v5SMJuZWGbMlWVQ1VygrEVUmvcON5y/dZzPHnyCG0VySPjZqTUmXm2PbMKQqG1CKoi4fCqswc/axDOGlb9jq4oufEVNkS1ITFQyO+wH0Sv1CUywu5QmIvRPm2SZ7IEVxNJZ2SeGKv1+SDVkhXTNiG35GIXrvxC9E8NKLDfH/oZjmGN4qyDOPk2ydr2JWnj5PgIRTkUU/vTJF08Lc60sohRxN1CjDLKSmjg88DSNE18/PHHTNPEfrcjJWWeCkkG53XH9PXC2ekZHpQ4XcTAPHGgMfjfsrqna9R/LjMF5+X3bUgmrpEXMDC5/0CVWmYaJlG73+8ppfQgeW0rBe1273K3ozysDlTO1o8oie12S2nVpsx6QpeSeBLSyCQ2w8Bc69WK+jrxDZsqLkutIfQStmUBKNbP1/oU7ACAw8/Z96ecnP4T9Off++sLB/GGuIaDc6eh6lNGQ2anMOSB45NjLtuO4tkU60BCjdsp0DmHJ8fH3Lpxi4fPnnBZpoU3JEJqylEemFthSFbeBWsMCZTdAkRDox89eoyIUJw/jwA59bIvhCEVR7vdcWqso21Oyk7daGECIT5ijbQOw9AHi6gI337vAe98cpePL2HfjpG0ceecoVUKDW/xITh/+9I4PDMKQBNTqwHl+PiEk5MTnjx5Qm02+riJuOKBPVDCg0rnfhOBhkBSbzeTFUIfSJSELrrvXVuCn568NHuegHD+7rdP+d/8my/yR77xmN/4kZWBqydibWpstwM/9fXMV9+4wV/6pQedMiNipVnzf9n+0QUNsMtuI82XgLKRsqy632P3tBvcZt6Glvydg6cqXsJvjWGwYU+xtXHJm+uIj8PI9Rs3uDg/o8ymaCMeSMWk3Z6ApNSRiTUNy5IEq/R0mpfblii/sTo7S/BGD+j9zZaAAQ/yNYFTaEQGJB9x+/kX2J2fMV+cekOSoQAEEs/6Z6U+4Xd2DfTg3zVPbTyvcdWZxHY7glTmmB7rcmIPHjwCrRR9bKoy3mgnXnmLe44q4zgyZOPG11qs6tHo04QPUyGmqxpmeFXto9O61ALf5mtsMmG2uK0ohzp1x95a5ez0rDsNcXpQwyYwVpTdfuKddz/0cz4Yh1TVpVXFB4KwNCe5cc4p9jlOoa7Om/33MAyesEb6ohEbuc8zpNJAhZj62NweLkldJAORpFtvApxsN9y+cZNXrz/H7edusJt23H3yhPtnp5xPlTJXd/wetPqnWaOsshkzR+OGw37y4VrK0WbLyy+/wrNnZ6RWee7aNV64fZsXr93k7PKCu2dPebI743x3aXxefzfptsLtuq+3kGhSybn1Rv3ktLgyW9Db/W5vxo9rbVUP1eRO2oL0uawGLUW5fZUjW66Q+m9E0NR3StWDHWsgtkC1EeAImNxdjD6fa+nI6BUU18+lIcIBSixqJJsho1VNpU0b6s59yHY2QuEmzpbhpIk7N64zHV3w6Nm5D00TRlGgUrKQ2sDpk3PIE1kGG3Klja+++Spf+9rr/Po/+CH3H12A+uRtMU3tpkFRdEDMz2+vSq7sBJ5I9fkYGlvjlTmN4Mj+QNSaJRtwcTj0REs1KH6NMti0zTYIm1J5KVlg//jRfe4/e0rVGTJMtaK7C7RYH1tCGZIptSEjc3XQgubNtK03NLtTwaqTtn9dU933fuHpizdym32tbRW9R2VIrIemiTUXJlVrjoQ+/bUizDqiU0Z1y4CdpeIW0AY8JR/m5oix+4AyF95/9z3yuLFBd5KoCNmpolNoiCNXGtTHLHz51VfYHQ58cvcukgbIAyLap6lGUi1JfG6HrYHo0uN2dHRCozKXiRhAFP0ab731Fm+//bYFvDS228Q0zR4YJeYCMbsnqB9odRBioWd2mk+AhqvfC4Noja1RiceBhyUR7KG5RkJn/mXNhV+Q7pXogTt6VWMj7PdW3RUWCtswZuZDcRBRFn8dzlCsh3A90DNAzqTap9DP8+SiarkP4oy9i8phDC1d07aSK/UsAIFX0k2Dp5/VLxrF/z6C+D24wbZDbxeuNHMchvAYR/vs9Kw3ByI4Qu8Oyx8wr7ibc2nsDwfjWYtNvhqG0dC71thsj6lth7bGuN0wJm/GWgVSwc+8uIhpnSt5swi2NArnoV9qgYG6wQo6gwgcH22ptbLfO3LkzlqRrhOcU2K7PeLi4hL1wRX35pG7k00g00BwayI102VoWTGKhBklxMvnHogaipn6we0B30rFZN1YNwyZzWZDqcJcm6GC0A1AINAR3HUqRwJtjcOlqQdF4GwEE3eYsTC+hs8u4f/8C+/z7/wrb/LCrXv86m+fcuE9RjdPMn/6j13nT/+xF/mP/tMfGeUGzGgKhvRFMO4HPYx+cuPZB/ngnlm8rOuXS/29DI3FL3iyEpdfFkPDLKHMHjC2OvtF8r8k4qo+9ns2Tn3N79XOOVwUc8QD1DhT1riWuxSfLpJ+cMWJxHuuE8LPG47oTKenUfaXNIIjMWnH6zdv8Yd/5g/z9o9+yIfvntn+uuKG/fzUPyZOiZVCl6ZHS6isEjVXLx+7esVcJtrlTG3Fz3uiaKXhiiEqzGdGrSgNU1iK4IZqChrmExdFCKCUmaPtlpu3bnBxfmG6zykUdMyA52T716oHGWpP6yvpusILitmVQgRqmT3x9rNbG6UV259swZJFoYawhL53zLbwupUHpWL0Jg35VHpJNOVsyjoexMlK5nOhMumVz4o/68mzyoKeRfUFOpLjfsSpbUCyZzk5ucFP/Pi3+ENf/xZvvnCHy90Z3/3wPX7zh2/x9vufGKc9nH/KC7/S/z8NmZs3r3PKOfNub4GAJM5OzyjTxAu3X+AP/sGf5g98/et86cVbnJ494Qcfvc+3v/fbXLx3hsm/lYXm4z+n29nuiCxheO21L/Hs9IxHj56538iO+NsebTej9Vj4vvYA0Fc054HNdnQlq/VQJafplIJWO9v9ysnKCbrdtKpOoLRe51sn09qY9geGwSZER9U4iSFjtUbDniXLxuWOHyM0KpsBXnv5DuVQ+eiT+4ugh9uTuH+qdo5bs+qsNLv7r7/6KpeX73G2P1BIoAWRmWE4QWqyO9ysARGxNd7vJp4+uUDVekoup7kjgYL3pCSvhqXklcW2+Bbsvkk/dIHALwHIovria+r2k5TZz1NfZ+OwJx9maL5/Ko2aoGagTfzkG1/l5TvP8zff/gEPJhNvSGL0MBs25pSgSJQ8WUyRwGlUknzGiYMskQQnp4iVhjf6WmIWozM9CriS4EJQuZyiqslmHSTjdUPDow0LtsgUVapklMH099VACmn+M5LXnz34j0nH4jagTJMniSY7GBBOINXdOLCcz6pw/+FjDvOEYhWWkQCJHCDQYDZEMmN2JEFv0M3Oi47+vzXoY+tgA6PGceDayQlPnp5ijE411a0kqGRvHI8E0D+n6ZKk+3NHvLioyviqt4VOZ/ux2MjP07euMA/iPom4PZL+mdbDFmuhQFBwjdpok52F3X6i+HlLxlPqNFo7/5lWFjqp/dyoYJiYh/UETF3r3iq9gcADLHFjJDL0vNPiHcdbeoKsyEJPiz/8Al+/D4nJRaqxo1OmGWUHxVEMK9F5MNQvnzeoir9aCh5UpiFclsL+7JRxHNlsjpj1wLixpsvdxRlPzs+JbvbkF7y21huKIgBszkGkhWOGSPsyPlAhMr8YWIINMpAsVxzFdJj9Z2byMKDaONpuOOz2hJ69NZVaY5MdwoR6o19yhxflJvvcGAecTZnFD7UhQGA6+tas1YD9YWJ/eIT2S20bENSZoFq0VrxsZ4FykgTVpR3jUHn2C85za0ERUufJ2XuLmFM5Pj4GYHd5CWqBVRZ497PCf/QX3+V/9E+/xj/3J1/l6ampD928tuHD+zv+j7/wKR/cX9Gd+mOvmlzQzhO8efMWN06u8fDhQ0qZ+qG3aXLVv9feX1tDuwpFcgOf6QM+UmMcMgkL4LStmnUjaA601xellIlnz2a8LmGJQnZD4Jn7eky9NdVH4tc6qtZfVRfnl1JGxdD5YRhtDZFON1EsSI/9CaMtLqGYU6ZpWZSIBC5Pn/LD732Hx08egtiAoOhjSGlAyQvSF3cBG2tviLUHWp4nJNGOMkey0lyrd8jGGW5tQYOD5R1TfUPGj3gfr161FmoIiewyparK5cXOZEcRD3MX/mDwKANZs+DZm909sJidf6zJ7niOfG/I/uwebItgFR8x5E2E7dEJm03mcndh1YGM8fh9il7cDRf0i7dZOPAYjWdMIySY2gGNg0HzaoabHllTlRa5T7u3S1nbEp5ohFycXKcd5gy5MEri+evP842vfZU//k/9cb72ypscnp6y/bW/yeNHn/Hgk5FyeUlL2QaxaCDgzcERqy48Pj01BzYaD57UuLw8YyMjL91+nm9948f5Y3/qZ3nlzZd59vQh/Mp/w+N7D7n//qdM854qYJxfD+jcaS+xgDm8zZB55aU7oI3Hj58QabALqDDkzPHRFlB2ux3V6XEBvUhKzLXC5OmzrqkTkeRGLcmqZEiiVIm8b2nqjNza7SM9WbAgKpLoWqy5eRw3ZptrtUqeNmJke6QL1qsjrgpkZ2TI2TXnLZQiGukQSmnUesAqfAPq9llRnpxfsquNy8lsRXKbrJr6cDHJBgqVsOsCH3/2lHsPLmgBYkD3k13yFuH4+ITt9ojzs1Ojk2bfCw8sXROUUOghOe3LueLhE8xfOPAlyr7UnhCkvAQ6vTFbTB5XPEh5fHHO7RfucP3mdTZPZ+aJ3u7Q3K4IyiAmyYg0qhbbJ091kwNfOa2Q9I6WWmAagSr4IMLOab5K64ygsNG6EpwFWHlJtMGUu2pxYqjThFURNaCjpSUA7f7NT3yvArgdsLOoUEu3MUij+cC7pSF+oXZCogCnk6m91agwltm8lphdStSeZykZizcaJmGriDb2+0tiomn45lorR0dHvPH6a8zzgY8//pjDVNhPp9Q5qhXNbbVXFxJOzFhAJvV7lLwSoGrKdFbBWwAycRUc/40u+dmrr+6fjcoYdpPlgaF/1lVVQkXyQMJih5QhaJnmwj0xKktcVP18EnuaEuq+akjWR9W0ItlAi6aN/X5nn+VCDhG7+Tb36oaEJj3edxGv7AF8xKNG8bN+oaCrXX23f/TX70NiUvsaRqZF5zAtiFvOuWddaw52bx4xSJIARVM2h1NaRWpjSJkkNpFtv7PmtFZDdcVKq1WNh9uqo/xxAd3QqLjj8mbLVoOXJqvu4pCTtMsi4pJYGIWn1Znq1Bq88VNrlOnMK5jud+gu0xEjv0cszYGemfshD43XuNQ9A8U6tyMQtOaiKD97mX51mBX7mVUrkga2R8cgJjlZFU9batep7nxMXZDfMJ2hcY0CeZnmGgbS+rwKqsJnD5X//f/rM64fNW6cmETVk9OZs50gMlLVHEKplSgPRdavCim7vB0mmXd0fIwlJ62reMTaRogUFz3QGcFVRSze8++JS2E0m6lMbgCSTyh0A+kp9cIZX6pL0kWEHWHt+7VYvTVi0BGU/o6QxHoBgtN37eZNXn3tDU7PLnny6AmtzNCK6aavkJBYI1QjJqE15w62ZSLkpx+872JIEYwvDV2GaCd3vkIes8nMBSpLjIa3/TfjZAmx9R7bZ4mXpjt9QYLaRE8q17QyPFEPsxMys32MdbKKwDQZYn6lqrFaUxC22y3jsOH87KJ/Sxh20WjQWuhISmMYbGJtbcbdzt5wqpghHXI25NguDUNKjgQbl3P28rxNUrSmcpIwt4rguv+zD7KSxa61Zr0JCbtb4zB4E5X9XOvfMptnrF07o82fe7GpV/tVIphQhI0cc5KvcevoJZ6/eYPXv3yT7Usvcvz8y3zjw9/iRycb3r5+jdP9gVIbsy56xBF0DcMIIpQGKov2t9ZCThuOTo740p0b/LE/8CZvfvPHmLbw/NGb/PwfOubw7hkfvv0Z017Z6Y7m8rkpuXyn9wgsuu7Kfir8w+98D8vjfBKy+kX1gPzi4pI85o6ApzT0RC6kgad57tSAjlh5Tm4Nx8p2HFHgMM2kwZpEexKeAzCyit0atQsqW/gqVasjDMOAtso0T0yr3i7cxmQaoySuXb/GPFcudjvanPjw7jNKLZRmyaXNHFnuyCJ96pBBTozbkUMpnD56QtPkriXK6pbwkyIwt8AAp1C00owzTqhx2QUx5l/q61ZLZWLyANaxDFm4w1xJMg2csLOp9JKon/XkBlfFqpnNhwoFLLKmCIgmEolaZiZJ/OjsKfPpDaZhIDVhUPEGXHpwqLiy2ZKLmRV1ZBWsSn7nzh0eP37Mxf5wxY9+vu/rCsfco/Kg2cXzBm99bddCO93CFQXyotDS7VFbeqrsh/Xqrp0xf44k1uCrPv0WD0rj/XuyD12oQCtJVmuKUaRqHP6+zuL+IiGMvo+W7uBKbLE3NYAWDcvQV8nu4+UFZT54c6ZXzsXW0GiVyZXBI7mLan/M5wiehbi/0B6YRkxEj2X83TSSKXuH7XZr936aGDcjdQ4VOr1yD/uTr/ynVd3XCVvfZPJgPW7dSasaSLKgJhaLSrAFrElZokIjsNmONiCwVPA1tlkvFufEHJzVsvb9C6ZFJMW62oEhZ0qzfTMJzeZCFXyhr99XEC/BC1TtwTpAUaeIrI7FugQSgyTWhy6+QrYtSaJoo86Txc3Fgvcs0c/rmR2mhtHR/viX6urnuQ5yspHhBHeV4Gl5DuId0oEApDqRRXluc0Qm8aRM1JRINVGbMu0PhtjoSkc8+fRGRx+z00eOtke9U7k3bfmhrxpORvsaAJ3iUVvrTZ9rQ4tfdonO0GgadSm1o6NrXLt5i2m/58mjB9QyXbmqsT5RupJ+vel7Y1UW9cNqTR3d+UTvgwhVE08u4NFZRcSVcFQBayRFuBJM9jMkYk7Kn/n89BmH3Y5SZtvTZO9VXSEl5XUw6JPN3LA0FJK6sbMSWqkxUMuhAi+hxyh58UAtUDXj20dSpBbcrJ1ATFaLhMYNr7oxDy5wJHBWIo7mVEuGnrtxi5defpnbLwh3Xrjkg3feYXf+tF/yuE/Bw22qtLIYrgjQBfXqFzYQSavplgMxvGbBG0KWS5iqgrTuOACuHZ9w/fo1Hj18SBLrnShqlLcr+vfKKvAwdE7SQveK0t/CW2TV2Ji7UTNqnSVK/fuiAdYdqfj9PD4+5uTkGrvdDi3qzUDKZoxBc1aJ60CVmKzl7TvPc//+A0Pvo1wr9jxFD2id2V1WlMqNk2scHx8z7faG1GnDHLUZd/XmZxyXN15wNL/P/Q4pXnWRqGQlUh5Ios7vBXV5y3D2VvnK3iCq3odgOsvTNNl5Ex86E3KMolyUCy71QGVDSse01JjzdZ7NcHrYM5WZonYyazU6heESViFMw2AzJeKuN8WGxM8c5onzac/dhw95+ekFt16+w27XeHp64N6zp1zuLylqevvqfQqKUlojS1Rs5r4fFbg82PyP6pIYwdtFTCiptkKqJkOYAvXqfsLPiAZAY7+onkQld4qI8MYbb7AZB9760Y84lGrzKtSRWWnWwC6meLQEDQvXNqgaMXxqmg42h8GP15BMTaupelCdmWuiSiINAprQlri4mHtiJmL0F0uIU/854ghlSok8ZBty6ICOusKKsiSfgngTcSUNTu1ymayGVVST2yW6GlEE6PbraZ6ZSiFhyXXQMxETo0gu0NAVgyJQRDr/WRSGIbS7rcIWMnxmUwOJTP09kUQrUTnb8FQb3/nsHhSlVXF6hosLEDbbufxi5jvsAy3QVPWz03xdFtsTDIEIstf9VQGAOU7Qv8eOo1NzUyQrjSIeK+hyJtccbw2kXL0IJK7Lr5ZEdfDJG+JjvkTYvh6/rICtzgLpXw6x+R6E8pT4xRiGgVdeeYXL8wuePXvmoAu+aHgju1dfxYiyTTKUHl06/cQmrX722T1QA3Oatp4ELpTjWKMAE+0lFwTd/qla+/pGhahzy72PxHjhvpa9MsLiK/zv5GGgtan/TCWSBH8FX+cu4XiFx+7P4QBLUujTtgWrePlOLfFgrLl/ckrUVhiHgdu3X+Ds7JSzs4vePxYyr029CtbBHRwDjJkMDpwRtF1fQ69YSbLEvUavTSzmF/j64nQa6AiK75wfxAiOnJ/W6pVNWHOxIwNd/34P8CQ4xp4cBDfSmwWatp71B2tyzZuCqyNxa21I16VeZIHiZ1k8oe5wEpnGcSvcGhL/vW/+AWqFv/qD32bCLtd2HNlubDASgTh593lplSHnpZSUM0dHR1xeXpoWaiATdszs2a4cQOnGIbTcux40yyGIL8MAFFVDCa3qMLDdnPDcrTu064XdxRmX5weQRdM5Auo+JEKVcbNBUmZ/OBDcL1gaYCNpNeUEc0g0vSJZuWTWRouozldOWfr+9SRK7FKVUlAxBzJPh15xCGRjrfkaJeI1Pw4vV9m59HJhijNpCGbOYVQ7dnB1Hfs98SpHSv3nDNl0wWNgix+biBsIzmx3CESCZmf1eDty7Whg2AzsLs956wc/4NXXf4znbt3mY09MhsEGLEWyd+XOrM6EtZbYGdpujI89VUOAK/H99h7Jndpmu6HUQi0HW6dkPFGaJS45DTZ9FDXVgzRSTndA61NJo7kw1t30xuvnPc3qftuBzmkZlrFG2AE2myNvpDo4ecn+fPBhU9HXcnmxt8CC6smuV8/iCl/1xpRqKgS90b0b8wgKDJmqLge23x84HCaWfhAFMSWO4+3W5Mzm6KWgJwWDS55GUy66vAPAPE9uiNULJJEAJPJmw/G1a8gwsr+8pBwuEIy3nyRZNdIRaGukhiZwqRNlOuXh2Zb3P73Hr/+Dt/jaV4RH9+/z3e/8gLefnPNsv2em0jov095d1ZqMr92+zc3bdzh9esrF0yeU+bAEpgj7ec8nT57w1iePuf2j+7xyWnjw+Am/+Z1v8/17b/H48h6zHNBiMpfqyXDINMY+j+NAygPTobHdnjDNlfngtCO7zB4I2LqFuhfQbXSst+ri+NQhLEv0IoG0YODp02cMOfk0T1fh8ImvRmdMsU1XfIElpvEk2lHUMhUyynYYOTo68qnhVuGqtZCKNfSdUqlJ0aRkzeRiqGrLQnNJZascLVWrXgVOakBV3A+RK8/Y776F814hK27HxXplnO8e6iE5WWC8fJ6DFcm9hq5Q5J5U2HDGJkZ7CM3sNDha4M+eslWZaqk+ZdgDH1kCurWdEBGqNGqGsSV0VqYxM1fhSDPaCtXgXZtsvvJxASQtNhEHA8yulFJ48PBhR2jhc3/ffUIP/DzQXIb7XZ2EGhVgWD17NFCKedvuA64Eo/65MXhPohIpq3/T98OwtwWB7T4tCSnb2nZTKUbLbU2hGbhkAFj8fHuXkIkmfqJXxAQlaUW0ug0UVBJoVCqc5qFLI632eC4xDrnrqdtyti5Ve8WLKnFoeyBdW7Ab4myYbbVG4SWh7ZQvicA8cXJ8zGGamOfZzlmzWDOeOCrVtu0BCrL4JFVSzi4z7b6aoGlqTwRT/B3VrtQVjbK1xxu+qq4CdHZ6xv4wWSLs5zMNwrjdUEplKrVTrdEF0FOi72sJzK3qZ66t1tniqi4PQU/gv8jXFw7im5r0TvL+MOTzlILPcZNkaTwNDff4Wqs+wNWgPl4QLHAJpE89eDdUYAlyriIcK4TcD/rgTStLgyK9ohA/K+gYc85ciPDR4yfUqsyeySe1cfRB0Qnt0FjwHBQE7EDUMnN6etrfZzHK3iAlq2eJQCQOJixNrqy+B0togm+NG+5AA7VVDrsdp0+fOafZkP62CkJb3y/ph/+K1r36qkdg6SZHfb+Np7c0si3DPTxrzoP/jEUdxhaQHgzh5yXHeWiNinErm4SfD2UIe7YwDvbf0pORpJFU2Pjtpo2cNyCDXQwiEVjOXiShv+PcOEe/qZJaNYO3OpuxXjnlPgE09rDUcBiGKqUhce36MS8//xzHx0c8efKEJ6fnfPDOj0AHdmfnV5qZrvwM54/He6okkOx3SZmnA0rr49JDZjOJoMXKu8/deo4vv/kVPvjgfR49fgQpUxGQ7Nm/cH6x4/z83O7RuGF22kBKqQfx0fW/vlsdxQwaAlGZ8KTI32s9Mpt+ij0ZL603kasu3y9qdqbWdgXtDuNdpnk5r/3vWS+ABeX3FkedF+rEkvhlhhyByIIqxfObJOXScB9OYhlA4lVFVYY4H4TNXvppzKkY4hSl7Zwzm+Pr/Jl//l/glTe+zF/9L/8Kd997i6QFxGiC81z83pijyWmA5hSyIVP2je9/710O53u+c+c3efrgAR/c+4hP7z+0xMGind4UmxxcObl+nT/5j//j/Et/7s/xS3/zb/GXf+EXuDwrNDVJ3wRozpztdvzWb/+QsycTL93ecO/xXd755H0+ufceNTVS50plrxZCCAiEwza6lDmsYRhIefQgQ3rwag1+jlj7LIH1OpuvSL3BXrWu1CyW89Sa2Yr7Dx4iia4MpSrecCaGhmsEvN1cre5+IOce1EXF1L9ns90y15mET7Ktwhs3T3j5aOQ7j+/xhA0tZzB6tKF7MWRK1BPTZRJw0BkXXySmboYrs0TzeZ1tvXJGGCygr7Pf+Y3tdW5omy2pFBv2Y5rVS5C6NANHALkk1rHeS/JkfjW7pGTvBYo+MQekgjPfAzCJ9VzbTENka1KyCgOwEZNwTmp7ZSIPSlL1u+8os/uIBfVumIK8IZ7DxnrUojnSmnbtXXpzcotKtltaf7+rVUbttqzb4Li/GF86SXI02LXoNfTPU++NigRpDVYEZVbkKrIccUsSq1KWUhzFXWKaHsOwAHwRVI7DaDzuZtO1Hz58uKQMkozlQUOoPg1+ZDMOXB4O1EOlpYTIKuzTaCa258yr5vEuC+4+IwAslN7jFAF8VJBJkQh5fBJ0JlcPtM/x2ACvNvl50aqcPjv3qqz1OEUS0HwWQaxFN+79SkeFLptCk1PW7Ewb2BLzR5aJyf43ZQmYbc195oH/viKgME/FZjQQ8YgPPazSfYYlvOK6JQE+BNDDlTPoB7NT4fz0O/ipn7N3/+1fXziIt0ObeubSraG/eu+2x9GdUFCRBY1dUJDmjYuL4V4/dDjvxeL6jwlJQ5E+STU52rK+kPiio8bZVPUAs9EveC8D1oZURcbMnBJTa3z7k89IqkwZc4ZNKbMy18k2KwLJdHXzsxjP9jBNlFa5fv2GBUxnrqvqgUwPRON3IitdPVe8fZSy8EzRF8sOQQpKR0ZoXF48Y65m1A/7C1pZZNIQrgRh4jSByYfyBE3F+FgL0hCZvR3+Zv0GydU+VkdgXQHpDUKxMrE3kldZcyOJXbYa9JTmBtsHVYUR75/1uWNnVBfL1FM2jd5h3GJI/oRgw1AaI8jQz1SsgWoUfCwLRtU7zV3FYWXQxJGG5cItxgtkGT0uoNLY7S+4/2BizNkQ4tIol3tqifRee1IV/ww5nJP2h7MERpCgpiR73+qGPoWh8QZWrYXLy3MeP3zA7HMSDGAxo5u9adb+vjnAM0e9475G9ehKiXqVaIfme9BmbG+XoKhpGP8F2QlJvnowhHUYluE+eRg4OTlhLjO7/a7/PGvs9QqCXnXIcabVNeONEhW9HHbuuuNNmWi8qi2QIvGBcd5MHsdLbKCWuD3qgaEnys3PYa0ue0iAGA44+Hm3fYk1NEehaeSr3/gW3/yJn+Dv//1fg/05L92+wWf37nP33oOu3iRZ+ucMCBtJHA0DU6m8/+EnPH18jxvbI3bPLng0nTGrgAzkNC7P0ZopmSjO065sj4+tSR9zFHW2pG/YJDZHAxeXp3z/B7/Bw7tvc3078eTZMx6fXXCQRmEggXFWk3B5ubPYThPLKTBVoOgHOBz23Lh+g3K05XK3M3vX/FwnlzhVs6MxMKsPGGIJrFtrjgzb3hqtxRo8h2HwoEZoZGjJ7iWelGFBvFYx4EmW+28zT5qjvN7ErAGsWD/E6fkZpZh83JiE4+3Al199nh9/7hqP5mfM08DZwd8/W8CTa4SCdtdat3n0dQpzZiZWelJaXW0nBsgESIM2Bq/s2N8Z0Fxp4sKGLjEbd/FKZa/TB/2s4rYHdTuuHXE1ZHgFcmHVq7WediDIITn5+epJ0D9yxvj8avdU3KYdWrUGYEeMxdcp+MnWf+UVF1+6CIBRpZYIiuJetuWuNUNcIzgMZkAAidFztQb7wmJEkLWWHw3pWxEb7KWr7zW5VdvPsNuSc7gBD2LX+x5BaN9GPAfwwNWSTSfh9aQiml2NRlh7grUGp+xnW2e99S4ow5B58803+LE3vsx3v/cDPvj0Lgc16eZhHE3BqxS3nUsQrBr3xJp+c8rI4P0Zq+QHlgSuBF3SgaDIhpYqsv89xZOG3wVndlsfVR7LHxeaouI+WVN/jsWHWpwy5JFWKqVYEzApKnexaf6DVvFinF9zEMWHla0q4v5q105O2G6Puf/gAUE9a816kPAzrqILzRPo0LPICkS9cuCI+QEt/ErEr79jgX73ry9Op4kfLqsXZLlgkXkR2TRrtCMQEken/M9zGE8PQKLps2m1jmDoQUocDsEkfm7duknOmUePHi2mSaNRyTYlifok08XAhYGyDVBowpBG0ERqjbkVSm0M2MJmMoOo8fVb6xcw1niNSB5vRnIWZke3hmHAO0KsGuAlk743HlT2DCwJm3Fke3TE/nBgcgkv7QbHhkANgzmqQ5loWjnaZvKQudwdaDsbYJMCBQgeLsuBXZdrazXkE8k+bjtj+s6tZ6u+Oz1AUnc4Rt1y9ELNaZr8Wey57V/Og8ubxSWKBCEWYoUEabOpaeK8ZPWGGliQgZSImr60MOSWyU7TTE7CyTbx4nPPsd/teHAe/HLwmmb/dbwL7jQiE/0dVR6cSy+VzTiw+sssDtv3Vxtlapzvpx7IpmzJSoqAfBxRoa+L/WNyj5vtyLTfeROTkrBR9sZkmr3iYLSBThPTRhYYxpFSCnfv3mUqpTubISWaGMVMnb/aJJEZmKbqJfmEtOU+igfJ4s5I3QCrGo0nAi1YG8PIQGWV5EQiEMZdfA+98VNi4JUH5K32e7X+/MEnl5Yy+3nO3diHV1wHL5EAhvZ1qFlk685lyEtyakiuDU2bazGH4txEG9Bi4EPqSFDrCB0RTOja8Qb/XSFZE/Y87fgv/tJf4uYv/hLvv/sjbmzg8aMnPH74mGma/Th5cKSKamHImSEnqs6cFaUwsz+FC86pU+NCrUqZpdAntfZIw4Qzzy/O+bW///d59OSMux9/zMX5KTSrJg1Oq6pzZT8d2KVT5gdPOZKJs8PEpFbF0TwwDMpODzADVMt7pbkdd1Utv+NColZld9hTXImjttDsXoKShlBdXaVL54oYx9tfwoA09aAglNFG8F4JjX2Xhe9t1Szt4Iih2p18vQzhkrTYBZrFBx5Y1gZlsqA6DxkS7KeZ73zwEfcebNDxOnI4oG1CM6hUMoKK2f3ZfVjvz/D/DopQrbXz2EWAFtQMu3M2z0K9X2Mm656cBqY5+XRQlynuPT32Pk3VxyH7VfS7GwMPzR55sOmVAZKFVQ2gWJVqXTFXrFnXH9Rt34IUpvBxye6QqpIUhtos0XM/0Sv5DYYG3sB0JccxPy7cunWLw+HAxeUlNYjmQCuxl4kYzhbnZl1htypR9Oyw3E9ZBm655SYqb15eMp9zxV4JaENFyUM2hSG0V+Vtv6J/z3tRMIWlAByit2gt2rDYKqPNpnY1aDe4TPtIhVIXsCUSEIHOJkCr9UKJ9fccpsqz8wsu9nt7D7X44eWXX+Ly4oLHjx8voAgrBaiIcSyONQETlFqWyfBWIbFYx6rYBuCZxLdVQ/O4sVMo2LTnoAtL9uTNAbSI8vye2ywGR/Rjb1n2MPy3xJr7fTEqVLPzEhKfEaT3I2S+zj5jlVSpy5m26JGKpN5kJ7ebjSnpyQNLMnPqMymUBjmSZv+8xOoZ6L1Ti5R56gh+hEZJxARUxDPZL/D1hYP4hdKxBOm2MnLl99ZDleIrShvRPKQ0pnLoMk6eihIlo57KiiM1YoEIjkokd8w9qxFcAi7oO3YpUmo9aK/e4JqG0QxNbFJenLIlEhnGTGsYXQOogzXddoRnyVJ6yXHIiaPNQJkPiDa2m2N2lzsOZSaa+TTZXw6ZzFirGNAxuKLEOGZKzczF30MsWBmCN9WDhUROUMuB1iCLjZW/ef0mWgrn52fsZ1NLQCywWA9LoKOFdOQhmov8hngTLsu+EOWo5dIJdCWQ1pYgxALjbBSF4h3X/u7JS1zWeGwd2o0FYTa0yO10rJO4kxFHWEnemNeMPtEArVAbz98+5t/4V/8F3v/wY37hb/4aZ5d7dNm4HrQS6HqcAcV0fbMjczgy5bSGhHq9zdETR4hqU8bBgmCqEPKLDUN261RJCZtx0Aqt2OCjOMeBKgRXT0WoXV3AG4RbQZIwqGvjN3HJPlM+yUm4eeMaIpmHjx75RNpMUrGkjkpOzQfqKHNT5nmmkcl59AnE5UpgbYmYd8z3RCiu/ypgJpyvJdHRQFdWQYkELzIbbxpVxiFTyszlfmcGXRc+fZR3k+SecJqNoUuBNXd05ieXpEGb9kbBSJYFV/2xTyGhjGPi5s0bXO52nF7MDlZ44hID41aUEb82bDZb8pDZ7ferNQjHKoutCC0HbbTpkg9/9F1z2LVwxow0myIbcZEle9X3wFRAasrMc6PJhGQorbDzdajNgrbitJCUg+e9IKYgPH30mH/49B9Qpj2U2VSGQrmiFqaD85xTYS+NlhqHlikKojNSLYCpWUkuMGA9J0LI4VnwZu/egGmuHOZLc0xi+uZIokqcCUdnce46i92wJNJWEL8jpczE0JSo5g4p7MhMePPqyiqqJjMnQ/RrKYnRpMzF6Hu9rJ6UQWKKt1ePVew8JLyZ35K9R6Xx5GxipDFN1crfgEr2RL8hyao5JkOpV1Ur3CdWpw32xE2UbJP+rK/qeMu8P1DLxMkW/ugf/kmePDrjrR/dZ0KZvBqUNXtMrd4X5FQAkY7sJYmpq/TKa4v76c+j0JOInuWwBL39Dkta0PlV4NzBIQx8AE/GmnalN6sgC6mlbtfi56xtSk7WVxYJ0JWA121k+M+QIsTBmMgIhi7dHFVeP09pQXhj6uy6L+nzFNPevB803ajGNqNumXu1ANB/oE2d0N/dRtobL/dzbVfSOphVrwK4j45qcNcRJxI38XzGwEfFqVUK7338GR99ds8QY+zMl1p5/PhxjwUiiG+qPpTP19aTsaAQrsVJ1JPrcdggIkyTUQHTGszQxDgOHB0fsdmOXF5ecnFxAcV7+Tq9seDsGlyQ0tTrVmfLb6rHIytEW4KGZU2wgqxmq7hhXW2mOBqmKr0HRPzciFcpUtg2wfqZsGrUgwcPePjwMa3OPZ5VtyUGIIScalolD/78oWkvSzLfZ1e4zeiOjwjo/zum0yRSbxqLBbKYJ1BVuXIgYbnUvSRIIFZ2aRNm9FNkeqq0ZlzsQOBtBG2U3OyAz7NNZrVMOMoPjuJXlsCoeTOBBkdXVim/DUqqZUJsHi9NBdFMc0ck0qjMeKWe4HmbIRQnGrpKuTYuLncIjTxsePW119jPM5/e/cwHI2ifHGrv6ZfZA97sE/32+z3Pnj3tPLl1kGdUFz/tGDogztHWYqhdqzPztEcdYe9d8M2MlxmCcJatO9HA2+0dq03f3WxBrTISSLvRHDyYV3ow3ktPvsY1hnek5s7XDajaaerl3Ahgw8lKTPF05oguHPYevDWnQXUHj/M2PRFU5bDf86MfvsX9Bw+ZD3sXqkksDU+OztblPCz6wfY7C3Jj/McYErZukhanFjWMtqBqpUwk2VTMQPoErBHVHHpphWk3u5GOn9mYy0SZJ5Iom+wBP6BtxIArsURFY09tzS3wG9jt970qkSR7imOIwkDjZJP48hsvM80zH31yn0NLTJgh1OJyemFIvSITwZFKIJyyNDqtDO1S+gwliYQwePBsd0SA6yfHkDL7w465zFTvv0BbR/QiIO58dLt0Zl+ql1FDb98Dv85c97WUROcmZ9+HKLtboF9JaYPQ0FoIwQQLLkGTGd26QlKrmszm0rAeFEGzD8kDIFsRBwqInoUDrc32Se7oCT1nSQ7KLlQcu2aVdhAoiZwrqTYGbVQRJpZ7Y4mD7bXFKcEJNXpanaJKVhGU46MtczGazXxQbDSz0xHU1bD9rGWpZJQmmSwbhgHmuvcznaCFko8sCbg7x5g/gQa4ZMBKzkMfD4+2ZbhaD05WqGnYa5evxMGVo+0RgnLY7aCq8e2zUSCikS7sJlkRMkJFRbl1JLx4W7h5fWQ7DpwfZp48LTx82jjMisqmByphu9U18a0RrvZqVNKRUiBkhEnVzrLYnAh1Clsc41BCseBLOv00egAMrDLqhAFTNqPkm1/7Op9sPuWzT54wHN3k0fkzDvPBQRjxc3R17oOppkQy6bLLduJtf/yW+u53wQY8YU/e52MVjkUdJdswDQt2WtCAlp4j410LFpZqR3bBA+dk9hzFKoR+7/Cz3Erl4f0H1BY+wxLA5WzEXTc5yEga1hSLzTgyDFsuLy+XYMplM3ssM44OAqSeQEUVEF32I3wj6gCBrM68RN9fotV5RaWzbVH/8wD9FDpt5koFT+n9B3gTv7jf0Br2zwN99evnd8aoh9HUj0nhJmE+FFdcw4P7Rp0PtFYY0mAyxZHIKq6KFsCIUTxTNnnG5oIcBrAZ4Bqq25Js4mzYV0v0lOOc+OpXXudrX/8qn3z6Kd/97vd49uwCS9yrU1FMXraBcec1gNHRK7NeSfN71MP6HsvZOaqlGKjRrH8s5UwtGsemf3/Eol2C3O9eKNPcunWDzWbD5X7Pfr8nF4uTdmViTiORdJrqWFoAczWAOihi+P1RB5c1DABxn3ywZ7xXT2Cv9gj9Xl+/DyS+LZI8fTSwbb64UUC4whOPhxqGgVYrlR5DAUsZY0mqYjU8AFw1y1oEugSM2hwp0MGzK+3ImdkX7cYyLhOI8yDVH726C12V1uLStMqQErPSszszasshC4MuNJomSjEkXwZhdzhYWR4lJe0NU31fevBmh51Sbbw4TttgCYqa66G7x7BkINnhaN7c2TQzFSjaOEzngFhzYDfwQBNHNu2Zj7YjNGU3zYZKqSmSoMWkqWojoy4ZJWQ3pin2Jm6H2DATG3dvUKdRFpyS4OWjvDpNgXjGl/ZNEkc4FtUFM6D+Cs3kwlIkHtpceUVJmlEaRZWn5zN//Zd/izrPHPYVxChHAdgkR/CqLg7BMnico5aRXiq182VPt6BTYO9bvbE1vidyldZmhiGmyKmX0prTjuyu2ARan4OgENzBQeH560e8+vrz3H+049PPJopm1Lmkresfm5HNgw15ujxMvcGosTi0qJicjMLX3ngeVeXRvXt2ZlErPwI5G4I1DgPTfu5JYLMj2wPL0Dw2ycVq75BXTbbm6m09RVyKSx0drNAarc6UoqvE2hbO+PY+00EWnrBkYTOM6OTqLTSnXXjNJGVUq99PtyECwzBy7XhrZ2G3swQzWePlkDecnx2YpuZ86kgurbpmSxl7k3A9ILRZcyzpKnARAVBPdt3rhNGurTKk0YI5sQFSaGjKmx694QOTzwHQhVrYGiI+O0G80R7nyBK0Nq8matwhvHdGUZ0ZNyPbcUuUqVtpjhwvDbVV5yVpFquudT65NlIyTf5SS29kD9PdkW0/4zkCjmTNXrXFOHvp+4Ma3cwyv2YVFiNFk/zvDo7MTWXuSVOp9t8VB0OwJCsqfg4FmF55agyp8q2vjPyzP/clXrhzzJOzA6dnB8oEJyfCi3eOGYeB3/z+I/7Wrz3l/hkO2iSXcnU/FFZA1HbKyk4AAQAASURBVJ+/eqgabkrMFyVFm3H37Y5nhmRgkaoFGSZ1xwKsAE0LrSqHaUkUT3eFv/zXfxmpM1/5sTc4vnaT3fdOKSVQbkHVKrNKsTV3W6lOPwwbYJzn5uV9CwK0FcjZElevegu4ghUcJlM6Ewe4ktMdzalDlpDh9ICc2kGv5AF6870xRmOzoDSFHzVTn3PyoE0os1dsVAzRiX6GAA5UO+1qHfREf0VMqDXbTk8otXueABghHKxV7f38dBDS96ZP7qWrY4k3LwvJZ9Y4IouQsh3pGoDLssVExU49RrGk13y9gZshp+wVV1bBu1c5OxhQFxpYE5cDVu/ZcQAqflZKoVHcaDr3hFhbJamDECmq6hZcJzHFrj07aplXyV9C7MoiJEjNBUikc6a0NU62G372j/4M+/03uDx9zA9377PfV19vUx/TFHdVSM0T2WYyl+oSmV2u0m1txBvRh2fuY+krtHkiSyXWZhuYZGQWqwTb5csL4CGxlg2tjY1UvnXnGi+cHPGbnzzgswqVTE6zJzEx7NFsRBbI3k/XGl6lFJtA5sBjVKvdYPd4YaGkeYVS/zsO4k2q0G1zcBRjM72Z1BQEMgmbfhdc7uzZCP7CgRyCcHS8JefEbrfzw4aVF7R27hA9s610zq0nDRZweUZF7c8agaP2y9a3nuyZdu8eL9H4shg7lUZLiYwrg9ipMYdH8qDMgoy4mCkPFpA35d79+10PXjyy0x6gsNxm38vaVmVN94PROBT/eA7vfEVPggiOqBuoaCy0G2xZHYrksevMJhE2m5HXX3sFmvLeh58waRTgMyIjJPvvJIbwo0J2ag3Ns9sEfXyyNFq1RjNbqnj24Ig5Xi1m1Nb7sC6RhmESMXpRaILjBjWlRbMbWCFOywyDlDKaMrtZqLN9TkXMUEk4eP+KC9hCIcJ+vlZLPkKykciU1Tiekbwmv7z9WZzTuA54BRiHgWEwvvpU6hLYJz8DCsdHR9y8eZ1nT58i5cBP/9Qb/C/+l/8Sf+MXf52/8Bf+Nue74ujtxrjr1RKynExSa2K/KrV6A7U0jNNnSdrZofDt77/DmAeqbEi5cfvGNaapsN9NbFLm9Vdf4c7t29y7d59PP73LXOa+BmYH7M1R0Do7FWBp+h2yItL6tD5D7jXophymPX2QmSfnzQdxdJlYPGGTqP7YQk1lQhJkTT0ZCqnV5meeZs49qnm1VPa7gzWmul1IknqzeymKhZuRyHtCJqukots7dyJehnfz4j8rYI5KkkYiL9+jeB+DVz3Ey76hsKQNUR8wI82L4rDJA7IdOMyJNiekWuCgCW/YGs2JYUPX8ImSljhlSjFHqTQ0VRSjTJnyUPN702wyaDK9c9VGGkeOVJmLV4LcGbYys6/FbWXuyUDY0q7wFEgzcHJ0zPHxMU+fPjF7hSFbItAk+MbYgF2nLpGDFuCosKbFN7hfORwO5JzZbrfMkw0zMruPUWEs9UOk8cpz8G/82a9w/WTgP/ulz/ju+xfsD3amIoBOorx0O/NzP32b/9W/9lV+9R8+4pf+wSmnO6t8xTRss2y66hMLdngEhPg5vFrZS1EJXejdNsU5m0JPKTPLn9BtjMpAJfHw6Y6jQdiXyun9u+z2O4TEuBkQHaypuBktyvbAmyVVkDaQaIytUFrjMNj7DAJbp7YZhGQ+sEYg4jNCcjKAJALL/mJROVDzRdnvoNHcHBhJbl91IcYYgGE/q7V6RSHEzo6dU1JykD2AnKBzxBrjtmN5phDgKKVQHMFd70tyWxgg44J4hldQD4Cl+/nu41c0Xgt7xJNoUyEKKpK2eCZfHyygxv8/O+obvV/9CXWVbCimhpJ8AmpzsolcncvhR5CcE+NgINok9N7AwYfrzW02OxMVO+er9l45XQGw/qmtKbU0UEsMDSU2K6fayFL98xuTmq1oLbmMp0nufvLRJ3zvO9/jS6++yI0bN9hujpin2WIlqb52jWEcEDX54bApNil56TmwybZGRa3VwKPsQXj01po5XZQK12p36lTPLJEs2v3bHl1jf3mBauPZszNLqEQ4TpWfev1VfvyFF/jk0Sl3L8zGDVkMcPDKR4hESFI2kjmU4r1JLlsdQI7YPQnQASzBTJIYxhERKLPt0+9GTf/dvn4fOvGOUmUPzhQ/nOruxgtntRIUlnB+vRO8pV6m6aWxBjbMxbL4JIkhWeNg0dIPk+JlOBHPvJbAyRLL1tFBSyjsGaPUFE0MKUl/BsmDP4BlsCsTY9xSyV6aXenHNlsNbYU+tS6qA/7zg0ce1yv42/gqBa89rS4raM8sJfjHGk0iy4YaYO0yVMZxYUjWiR50HNXk7zog/hkkccTYhmXMRXny7Mwdjf/MwJpyYjsM1Nky8c1mZH95cITF9zyCnBSlLn/XfjZsf2yYh/R3j4zz81zBrjsvS0ldeuBMN6opxVCkUDwyg2xcy/ix9veLNq7fvE4W4enpKXMzLtsYU4b9HVTN2RDZvC6lfFVD9MKQW8nPfkIEZ0Epive17zeQCi+X5dHKy01tX8ASNzRQXjNarViSWBs8fnLOD996n88+e+Tr1lCdaBXGccOYR6oWapmhOR/PjhJNg9FvlSDrA95wWRsfPdr5ZOCRojPDPNvkTjXYaNpfovU6x5sNUhsj9nkGkKSeIMaUx4Q4wmOom7bCJsPxkRnz892BQxM0DVY5Wg+fIpJyITjQkXhHydbWWvvwsbiLFkha01HKA8WRj4asmrvsTE7TbEmVOxcVn4A4+XCy5Icnzp6foVBK6r0kfi4WuqKfH/O4dMDAOcfrpKFb0pR6cNJKRcLJRIrgVElpgs640z1QEUYVkhiKVnSg5WNoYlWj2mAQVAtZKxlbpyx2nmhKKY0SdCx1yokPF1L1ZEkbz926xXbc8Nm9e71mHpY+XZnKbVM7JSU2o/VVTNPUA6Nai8vohSSveABlqHn1vgfpe70E37BMZbWztjQkxh4Jdm/ClsR5bGLUswR86ysD/9a/+FX+2t/7iL/7Dy+Y6oiq2UsLmiCrJTt3n8Av/NIT/u5vPOLf/Bff5Juvn/Dn/9JHnO/N6ZMNxYrn68/SzYf2ODwoAKbE1lh45vRznZOgtVjFVyCmUTukYOuhSz/IrinvvPcprVVKTWjKxj3OQm2F1mZS2tBSolFIqqSaSJrYSGWbClOy5HduCdLo1Cn1QWHhBWw9B59AbC+08tvu19XXPNZd3DCaa/IJoyqdomoBv/Qb5jma1TfceA3jiKTEXGfwSlOs+BLYiPvj2gMxWQFZgnTAMH4dz2kxgvnh3misBgZ0D6fh466CRWte/AJARb/AErAnyb1a6tAb2mkIYcuUwZWzSgu602C8d/ESh3pvBVCCRx25AXSKCyLcvH7E61+6Ta2N+w+f8PT0wiY0N0s4JWe02ZC1nkCH1fHku3NDukJLY54PlEIHyox+rO7XRq6f3KLUmXpZ0VbIor1eVUrj3oMn/I1f/Lvcvn2TZ6fn1JZAhu4DbO9Tjxe1r5LLxvZwU5GcuXHjGtpap0nZ81sFJaowthWt2yGjhXkPlWSrZniVzN5xojSrLhSnxCqwU/iVdz/iOx99yof7AzVtUWBSEDW6XEJcdQtkk0jjQGvFq0TpSswUanPGPPCz6gH8K6+9zq1bN/nsk094/OhhP8+/15foFWLRf/vXm2++2Q/z+lCvkdSgzcTo2wWVsXG0tfgErUDC15mwgNLYDCPXj4857E2dJdDtHsT2J6cHVnHperNUZKnB4c6uIoGw2WyptdC8KlA9gVBhZQTiYKSejMTvxyUP3lUcLgy8MyQ2uUJAGLjeELJIaq3XrevIOrpW2+Kwck7O+6dXC3IeLVuzY85mEF588XmuX7vGRx9/zDwrrTovuRaOT46oDfazjUh3YMOy9lrQak2l8WcpVcacqJMwDEJRl/UykrqXQ908xR5LAl2abuKfrs/vgW9HPQL9SledwqKLu3ATbX0b47hBMAWaZZiPL5wEbcqQlpzg6HjDyy8+T1bl/Q8/NAQ8Z27euIG2wvn5RR9DT7NsPi7W55uYAkXr8wG832IcNguHEgzpwIbeHJ8csz0+8ml6HpjWq6oPVhGqTt1wZLRZPHiyGbn9PFzuK89OTU9fKZSqbMYMbePSkFaqN2m2RdtdksnvWYk7k2RAtYA3fJtIjZBTlC4TwwApqQXARW2ipCMIiEStqyO4URHZjBt/H6t2HOXGj3/lNa4dH/HdH77D6SSUtLEkRkxVwxCI0fJINe5vXO7mkoAiiyGOr96Ulm3Pjo6PuXHjOVQSp6en7HcX0Ipzl+Os0YHDOFPDYMospRSn+UWirP3sxveu72tvrJIlqBAHLiTK2R7jhXpFPHfO2cMHD4g8iM+iJvuIBVMkUw4aWkJG4ZId0pShZoYERSpVBNGNqcU0091u2VDBhFpA2GyvjJ2yPtNX53j0M62WiB1ttoyDNaPVGopi9lyDB+vRFxA2bBwGBv99C9rV1TBGNputTeBtLGVtVW9kdwzU+DtLsh6N8KvmtMTid3LOjON4ZY8sSBuMAtiUr7+W+Hf+la/yH//n7/KDjxqSRxRL5jUlhiy89MILtAZPHj7uVSJEuL6Bf+VPv8CNaxv+T7/wEVMbOwCxzDlY/M7ne0TQxtHRlpOTa5ydnnc5PztHrSeDSRLzXHrPka20VWgiGFH3QzHPQkR8jLx24Ku2CaSiOqJtwCpCQDX++vU089Xnn0O2G96++xm7lKkebtGRafsne99CzgPT4dCVnXAbCdqfJRJCvxwEi8z02xf6wBq8iYB4ke8Vp4PbGbPEJZJbu19J7H6EHF98jymgZZNPjb/XlqpZSOGGDYtqXz8vzu+vzeeV+FmL+QVX9tQ/p/cHyLrKrx28irqeJatuL1KgxctnZbEKtT3fQMMCTAFKmUnayGJgQFQ1us1J4o3Idl9fefk2P/OTP4YC3/nuj/jokweUZhWzuEkGOrSl+iXJpY2VaZ69Mij93NWI5ZJ0m2/nVslj4qUvvcabP/ZTXO4u+eCd73D67CG1QGsGlkQcmrOw2WSnkiWmSZ1iVGlaENEF3Krrikbr9lXFzuXNm9eZDgemw8HOTx5XwKknSxrQ8hI3tdZMSCMAoGpKPkEOal4pyskrya3RRBib7dA0mAVKCgeUsZlaoAikavuv2WKVgpJ1wGY8NBfg8CB+BfgZ/Sdz67nb/Lv/3r/Hz/3cz/Ef/gf/O3757/4d5mnm3Xff5ff6+n0Ne4qgNiguaKDHK25ZdIdhSiNh3ELZYkipB/FxEKNTXhGKNvbTZMgfLChpON9AgzyYjq/kN7Y1R9b8z0UbWqWjPCGdGFl5PPP6MsbvB20ggtDaXD1AzUBZIqFOU/GMGO0GhrgQTpFZH7AYi70OdouPSieC0WRBcXccaqhfa83k2vxildYYxg3DOLLZHDGOictL07SXZI6uTjMpp05vaLW65GHqRqupVVEyERDTHZbpbVuTa9KgHeHIZSRZC5K5jK3Hf+0B1ArlEc/kW6suq+ScevMKHemNf2qpPYvtmsVOWQIbUhSBynY7cnyy5dHjp5TDntIUScYfn4oFeNm1cluz4DQakmwttP+3Cs6d916IZAY5+JjdPKo99+CTaq9dv8a169c5OztjdmUNQ2jNIUrw01Jyzp+jTRiH//IAh4ezNTnrYOPrvWpSikKzCbEiwsnxMdvt4D/LA4IGavAziDDX2Z69ZfszvBKBdeKTE2lITPMBtKFtoaiYr9alBNsRITtL8zx71cUqU0Xh0dNnHPaXXlVazgDqfSlkW9cW+vzqvFI790PODMPIMOQFdekOMxLCRMpHvPm1b/HSy1/inXff5t23f8j+4oza5m44Q+s5OLJh1Kd57ok3K7sQn78GG/qX2zOruki3SWETA3FT/711w6+qq9E4zztLYpCB7ZiY5onmnFNFmJs3rVZQ8YpAsrMgkhnbjjsnwvbmlqdne/YtcdAEODpuL0HOSkh6xvPEK5n98YTMQYlG4mJ/IMvkNnqNkInrpqsH2s16FsSl3Xw2hQVMtuG1FvYH7XdXhWWEvAdukQwmkR6E4cm8Obqo3AZlzvbz+PgYVDlMk014VEO8siauX6v8T/7sV/gv/tan/PCuKQoNxxbgotbrc3J0jW9981scysS3T59xmMTjVOGywP/j/3eff/fPvc6f/fkX+c//66eoCq0EncCDxFib1dkMSxIBRJTdJcX3JU8aldIKIUZdVa/S9zzQ19ZccjbZ4DZXuhCBYcxsjo652FsifufGHc5PL9kfdpCzqWwoTCgX88wgmaaZWr0NxCmvuPa+3fNGqQeqWDXcgu3ck9OYvtlBvfATsfdu89e2v9uR/muWZDjeF0WLPcc4Ws/WWo2lV/LjOaGfbQPlAhjRDiIu59zXtS2VbtUlGQn6qqH4Tgt2qs46iI19Sav9XqOLC7XO3jOz1jO3WwS60GMSpCEzV6UKvPzSy7z55pt8/7vf4fTp4/huopLdf5IYfUOwwVqH6cDdR4+opXF+ubcqZJN+x1j11kVfXw47Hp/pwX3Qbochh4vvttP8XGI7HvP8red5/uYtvvT885w9ucv52dPOoBBZDWBrSj3MIKGsRqflhpS0UnrMFDzzZRSMrUCtlbPzc7NvbgfykKhTJMjut5NfqWSAgU1ZjbkrimpM2TUbOQyDqfhhnITsPWX2awM5bQhkoaoykEhdwCCiJqG0ShOTHzbqX+3gYMjZxh7aPbHPKK1x9+5d3v/gA84uLqmVK9Pi/1FfX7yxtR9y+2rNDG0vb0bm1nmqGgk+rIIfTRYsVq1EoyoA2VQ+amvsZ1eKSM6tG5bGgx44ijfljEMfD19XZVVDmuzgI1ElMk5n8iAsCofjaMowndLh7xSOAlVz9EQw4xvnTsb43h58ZulZoJVzrCQ5jhsO00S8djTMBCK43dpAlFpcEswD+JyFcTNQ5tkbJVzX3VmzilArfHbvISlZM9A4bpE8Qi2mNgD9XbUpaUjWuV0rSkKzqQEIcJQbX7k+ss2Zj08nLgouLQdJLSlQQNQRnBYX0NBqBzWcd+KH1VEPPHB3U2DJmxjtpHXjaOu82W6pHhx63moDJaAHTXXFaRMxCbqUEuM4MtdKu9xxuLxkdr19Sdbk1poj+ClTZ2tKNk1wC2qj8J8sS8M7d/o5Fwn9Fru0y0APYUyZ7XaDiHJ6dsbp2RmqjWEcWaQ5nWOpSstLmbjhFDQ3rDVXqrr0mTRi2IU2KFVorQDWTDPXgszmvCKjVVx7WOxn5BSm0PsWKB2pAiu1zqXRKs6BjWDCrpwF2tUTWzyIMEpZpx8BVQZ2Rbn7+JRtFuYKMQFX64x601UeN6Q0UEollD+CD5uSVUBeeulF7ty5w49+9CN2u10PiHpgLYnShDwc87Vv/gFefPlLnJ+d8dEH79jPwc57Tj7cZJ5RdR6l2HuYqkjzRtLfWSkJ5x884VAU+pyBXBA7R0k7iteW5KNXkFRppZCAYTMyjiOHeep6Ns2DlJYF8DVvgmknb5HWuJEP/FN//Cf4iT/4E/zF/+xv8O4njznMGU0jIiNCJQ0hX2j2JpRs7N1svW14ktGlUl54/EVt4vUwbmhNLRGVAGi0z5Voq/cLTnvT6rfWTEFCHETQ/j09qNEF6Ii7XoMSEYCR25FY90BcLy8vu62MYM+G9Sj/5B99jo/vTvzme5WT7TXykDg62RqQJEHfzHzy6cdcXF4yzeYbWjVqoTRhX4W/8Jc/5H/7b/8E//UPTvn0SesX4vPVGgK8QZxyAJe7Pbv9hEgi5dGmPWfb5ZA8DGnk5pWoFqCSeiHeq77VgwxbD5+uqdWpNQeqVnIaoQ0W2Gah5WroYMscauLDs3NIOyY7HXauqtJ0YuO2paYIfq+Shvr79qQqQBb6fnapYY+PJDuFsifRZsEjeDFcIs5UY/AgMiGMPrtkNxd7FwdvQgJU/fPBzvV+OizxhCzP3FqzKrMaLz8lQWsjD7kH1+4QekVJoYMsasFLb86OuCDOIBjVt1WvtnvlK5IS8SjY/NSyZl16Oyidvu8n16/x6uuv8fbbb1HDywuEvGesIBrT4m3C9eOnz7jYX5gdnxRNmyUOa61/jtmChZYzz/Oq2qne22hNrnkwqhu1UVqlVPvz7TBw6+ZzXBNl98FvU7cj9fwJTTaQMqNYUF5VepgXPi/6z+Jsq9+BpEPvFTObGYfIGRd+72wdLaDfnhyTJHE4+OTi5J8cBf+UGceBVtVtigXT1uzvVfBh4Ph4w+V+Yq6FYTBhBz1YTDkT8U4iNTHqnQiaQkEoe08H5HjG1mhOU1zHQWsUvtvMplyeX/BX/spf4Zd+6Ze4+9lnPjjwi9Fpfl868QYiL7lEXMpWKyQ31kGfEPFmzQXFyW7Em66Q68jkZSn1Ko584h3tlR4s9FiqKdvNlu3RlvPzM1NqyDHoSZaDHgezv4UZ75yzVxfcgUvu7xSNJYOX57SaLGBKje12iwhcXF52xCbUQtYapqGPGxddkk/W600ZjRj33jAt8V4Z8Jc0ZDM45PQDIEEfETtAKQuHqXnjnqk2CNmTKOHyMPVBVcM4LIdJoSULHiuVoSWe2xT+3B/5Oi/cusV/+t/8gO/cPzDrhGysqc44OmaoEt4jEJdHen5FNCuuUfNSl4A3HG+UkMMJqJq8XWnmnHrK5FbrCqqJR5eyJAqdn1ktMLfPN+RS8Y5xTdQyU2qjOse767fq+tTgiM+S6M3FkanaenPRmqdLNgQ1iVJ3M3nwxmvwPgvp1RZV2GQLgqyxcD1LwapKUbkx+arqAfdgTkVCfUGYp4mEVSJy80mjyXR652aqQ1nUtIQ9GUtjZm6V0hJZRjKNUTIlGb/QGr79ztWl78EC3wg3DaGKSYhgJW8kU2RE/NeaXGouCaLZebhW3mzRjCiBypTu4Pa7PY8ePfKKVFrul6+9IEyHPe+/9w5feu1VXn75RW7fvs1nn1rTalVvnDPZhO48rzTqh5Hl6mf3h7pCA/D7Fw4ozm/yIDMCYcJxRe3J6D+1K1AZNcq4vzBfTBzK7H0U3sDd/AzKYHaqFZSZysAgA60Jzx495d6nnzFNB2ppCINzSEOZSzqlYQkgtD+rnS9BPS29Qnfze4hP64w7EpSZqU6mXhJ3B+1NhcQ+IX0txjHTkjJNMdirshlGch6Y5+LLbdKApUyOkmr/jKDb9OZn1d7cqixTiBXlznX4kz/9In/+//MJyMgwDHYXRbhx/RrXr1/j+PgYQTg9PePs7IxhGP3MR0+Jrf+Ds5G/8+17/NN/7A7/l796z9VefifNIr7svNHfJwKYqH4irsKiK/UVWAAST0QErzY27WfObGtUlwBNJv932Jt6WEk8vTy3SmG+QakHRHzebgXVwW1wo5utZBzucXtsghTF7I4BC0vwHhSgnKKi5QmZrqhZq96PDrm4Lx8kX71fsV5u4+yuDLbqYtPErUHdVHOChqbaliQvGZVIVSnqaklqzxzO1JJ18f/2ex4VkbW9j4TEk8WUhJQdqFndjaCbRHU6PmPd4xZnR7Gm1B58uz0KOeUkeHLmdl8rn3z0AY8f3ufs7LRPEzZjYHe1S11qNMQ2t6UwX1RaE8bxiHEzUg8H2ytZ0X5cHEQwP6aruxo+TbVRmpKHkevXrjEOmUePHiNivkMEzs5OuX/5hH/i538K2Qz8w+8/Yi4jKgMbDJAoPeeMuxwxjDo918UhNJItawiy5Go1WTeJA3Am3BGy3aNT+/LlJc2b4sY8WMLVGnkcTSrZ7a5V6gTIZIScDLCaDgcHk6I6Y+BXlURNA01GhlzJWmilWaIsRmE14MrWOFdIqmw0MwlUuUoNxv2/OlXQ4ial1ZkH9+7ySMy2JoRV49U/8uuLq9MErcQvRYjV9ywzZedvR6DB0rCHx6UaJXBHHFkoGTHQRxyBigsmnuHgl9P4b/Z3D4fJSrsVho2ji1ogudFRR31FvDs4EFSIzsPgr86zoSXiTiBS3Wh2sY9J5GF0zvXC58spo5IRLR2ZjYwveL7mtC0QyoMH2KW4403299yYRskuJbh27TpDThz2c9+JXnYUP2walQBz9q0p1hFnDbsWzGrnvq4/RwykIOdEVmHM8NytG9y+dZ3tODLKgSaZmUYesDWt0KoPaCCQPnO2obW7dP+rl+ikIwI5BzLsAbl9FxEUqirzYcIcTe6BV1QtrKehGMrT9zQaJZ1T5/KAFmQaKp1cS/ewPyyoRF9PP2Or86pN6TKQxbTy+2hwDy06sNSTjZD8CioAJC9PRG8ITYN+bY4yNZoHivNcrCTsSQIyUKpRk3Ly6XcMNtwqYTQkNYdw7fga+92OOhvvT1Lm1s3nODvfsS92LxMNkdHfpQUYYwGHKrVMNuXYT1RrMejE99iiiJ5sGrjiiITf94ypSjQyk88ZQIz/qYrRhjrvdUbVuMlAP/tGtWk8fvQImyBcO3rRK23+vKqVe3c/4L/+lcqXvvQlHj28Z7rvWBKMGvIWTuratWOG0aTJ5qkyzwufUnwPwwGHw3L+kVUdmm/D6lnMjsXfM4rSkmTa+w7jhpRcdSOk1TDqUW2KptF/tjUpZ8m0Jmg1ilXI2cKelkZ2LfFr37vLb73/kL0k2uaYOjXfK5PCNOm1AdXkDpiOxptdan0f48x3xNsvSEiCdnBmNSSmUx36IfL3rU4o6bbX74W6BKEnhMNglKl5Nic7jiM3btzkYnfO7tIHRXk2sw78hsGmQCd31j2Zd4vyR755k/c+OeXTp8Z7NblBm2594/p1Xn3lS7z4wvNsj464uNjx/vsf8t77H/LwwQN2h0OneEaF7m/9xhP+1//6NznKn3Exp24nOmfbkwtgGZgU69tPVoBh2lF3s1Fuq0R6wGXBuwEm6mCJSLYEpxpdzr4vO8hTSJrI9cBR3ll/hRyxqyOzv0NVGyCXxaYTHB1taKjRVyWxK9V6s90qBEq65hSbZHDY9lWvV4Aqfr60gxFW1bAp3NYj0WekiFXTfUyLi0sAyYYttkj6RbpCWcBx+D1rVX36qUWlQZdIlomxVjETgaOjLUKllMrNm7c4P79gfzisYhu/H6K0OSipti9RUbIg3Hp6NpsjmkvsBg0nAKdA+bumei294hx2N5I2PM4ZEtRpz7PLi74+1mcDrc5oVYZxY/bVEDSc2UvChr8JiTIXCqZCRQdeZbFZK65rWoEwiySxVX7LDIfDDm1jP7+1NQ7zbJRHmfjuex+gkji73Jk+PYmqxZJDnILUHB2PfByjnCTJFGcBqFM417S0QN0jVmyq3sNkRvj09NTZBq7IReJoHBk2I4d5prTKvh4oJejbGdJAGkaoJrE55pH9PBOa7a0p81zNPyYH62ojS2FIB6tUeZA9OH20qoFVA8rxuOWlO8/z2ePH7FqltNZlM00xzs8j6hQRO1OUCrlZk2xPQn/vry+uTuObO+ShIw3qCFoCD7ATpc09y8uySDGGQkkEL8EL7M9pFtGyKCAPA9M0XX2GZoHrMAxUUaqa8oGIXBm+0gOLlJaChNC5r5Kww5xNUSMShSWpiMyp9rMfDnm33/mFDaMb5c7EkEaGcUMtlfkwYU1+9gRRrVAVLi93TkGwz27OfYoGHFT7f+92lysEMgyM2HMH1uFca3HDayiDDyRpllEnz0tscI0lC6K2PjmbdBMiPJozf/6XfpttTpweYNwk1xwWrt24xs/89B/mnbff5cMPPyaMQg8C1k7f7UYesqGNpfiZMGSCpl02K6XUudF9zoCj0mvHHRcsAr3gzfbzE23sLM2L3YD5mvVLFMmiv7/WpVS/FJE9cfRLNldXP1Lt6Ep8fJLQ47XybnLLGtKfKWeGbKh8wpInVVPQ0ZaoYnxiuyaCDNkceEtkDIFNYMFYtj0OtRYHY9jvD5TZNdXVtKlPnz4xrjnVpgimkcKRPXfZgRQS9r21VmTw4RQK5EV2UcV7D8TVn4J3GlCEXWpAGaiIZEpbqAbbbA2Zh6DWxNZ4EiiO1AdXM1Cm1pqNwU6LcQ9Hbsl+Q6i00rj32fs8uv8pqJWX1SsDi0FUhpy4cf0a0Dg7O6cV52ESaF0E4b60uiQuRps3KVUDCeIdnBIRtIBSQf08uH62uvPJHhBVP5OlNae1mWqR0ii1ksVSpXXvguhojWe50piY88CjOqJnDVKlakZzAqnkrHanFUN6dal2RUAcgVcAKf3s6xJ8R2AjYnxtrZUqEChod7gSfH/va+hBlCNbHkT3QMzv9cERMFBahekw87Q99eTRA2IHANY0px406jLl2SQ8FaTxU1+7xm+8M3FyfKPTBTLCteMTnr9zh9deeZmXXnqBcRxQMrdu3jLlnnmmPX3CYZrcbFgZ/emZ8nQ/88ZLG374SdDW6HuL0mmdsca996X7pKiI2PuHeka3HeFPIiC0m9YVLdwKGs3GKSL2+SOtZVotnGz2/KmffZ2f//l/jF/629/jV/7BR0a/KxXSQAtlEa1sBkN5p4OhuFMx352DQ00ktNoT+TgvyY9JUOlwJFfBK9lLOhuytND6PIqejKvRAbebI6ZSOJTqfsqa9e3ouq1fJTiyMu0RAIM65UWv/IygFtdmdzBJZRwHbt9+jloL8zx3+htRZbOX96BT+jrEOQ/70OfOYIl8rQstNNYPLNFpHhiJBJoOAW6BJce5GeVnEJY+RBYfY/Rkj7sEJAnbQbj93HOknHn85JzDoTiSXk2mGefGO/UoUiv/KCLhuKqz7zZDYXe545JL/7uL/WjAuSb+5vc/I0nisiYSxfw6pq1EC8SD/netn84qLOIytTaLI/WEZ9k/8wW1NY/f3BbnAaOSKbVO/Y61puz3O2Q6oCn53IOIAewub7ZHfO0bfwCpM++9/UPr6fFJ4cuMHkGdXiVaGKsFkDUJqiOCqevUViy58Jiieex2uNyhrZooiViMFoC33SW/WxrJrD9na5bUEnS73/vrize2ehZ9BV0iHsT4lfNsD7tc9nhIOxPRxJfEaA3xOepNWBZ8OLfaD6iVx5x/mO3SHIqV4Bf5oEA9le12NIWO1uiSb354xuz0gsl0OJfgLspdukJvU0eYAtUHoWntigKA8yfNor3w4gv8wZ/+Kb7/ve/x6cefIsag6ZztaZ78PHsJVSNTtYwsUGhEPJhS5lIRjfHcjkSmaI5c5BtrdQ3fFPm9/Tsb/Qtpxh1ug0IzysU4blAmVCeURNVEaYkPLxtJE9fGzIt3tog0Hj3b24VLA4iQk1E6FC+5Y0lI9TMRGab5VPW2j4VbnrMwevCmGDrTPLlC1YJ/TUuwTiAElkDmPP6uaJfFnp4gOafUAkRzDDkPlo2rXyg1NQ6yl7lW9yacsaREJiS4MPMkZoSKWgYfzdF2Xsz4pCG7ykMiD5khZYbB1GCSG8KxDky1kJqQvMm0zM0TmQHxsxMTI+09jY+cZbBhPTSqNC4PzgntjeJKnWc3xhVJAyKu9tRi+qQwJFuzWeyeZ80k3Zhh8qSqlYlKM0pbGJ0oC6oy+nwAt0PkZqV1X2UzZs0MXU7JEmgRZk8ejUoHIU4W51c86SJsjdBLrHFXwtC2BlWKf5bdmc3GJuyV0hCt5KTM+0vGIZt0YhOuX7vN7jAz7S9wVl03srAkkuKOLXulr+ki/dqdLeGE/E4na6oqtViFQxdahI3h9l8DrVnzc5YBqH3IGrLMjjAbkZCqaBJm9d6S0oxXmpNXfgxNM9vY/LgLiCOkXo7uyjQeeEhK3kbktK+w3TinNoLNZonaMHhz60qL2bScLRkM5yTdztLXM2rRMbxJsSSgTnO361GZjMFiIV95JblH7Gw5b3pIwu1bRzx8fMmd2y9ycbHn/OwUAbabLTdPTnj1ped588svcnJty/nFnuMx8fjB65w+PWOaZlTP2U9z9J5SG9y/e86rLxzx1scX/Twsg3pkVY0yuoOQHXmt4AO13ET0wD85+meBTfV1dhsuuQMaERfWVjs3HLHeA0OJk9+rxvPPXecbP/Y6v/Gb75CGRtbE3Cq0TPbmvyaZ093Om1FX/GzvnhoGoVZxhRYDtCQantSqxOO4YXt0xG6/ZzrMfl+dsy5WNZK2+F+rEHtSiDUaBpA1t+bUN4sRJKrGaupylUby6hLqfUuaLdVpChrBkifXze+iU01IGVULlMcxMe0PfPLJJ5YA5gw1mrWlB12Guon3wzWSIy/qwICoorWgHcCx721EUhP2QK4E4c2Deo/VzEd5MpN8fY0yG3KE9iZxriwWM1s6Ijx3MvInfuYbHN+4wd/51W/z6MkZx8fHXO4OTK7H3kFTDwxz2CuJGM44+xpxNkL0SVWPUYxeNPikbEPYZzL7qkbPzInsQXvzBFs8cY8PVon4yiac99DKI7gkFlMNDpY1PzeaEpJqV0Oy/kA8uHHBFLUqZlUHIFpUfezn212C4+Mj/vjP/QnKNPHue+9wedj3qpMIZJf5tLgkeVVUULLJY0b/owOKFiO4VGgSdkU5PH3qFJslmYwFFwRW9yLWO0XVXxRttfeK/F5fX5wTnyxQbGUy/eEUSI0/wspYL40M2qkta/1ZJDNsh54ZqzjqoNbYIqrWjBgbT/ws+iVoGpmV+qUIlZvmgZTxppIYyoqaNJVYZbEfyqWhakEbwLOjFf+abpiXDNEOR6IVCzpfePFF/vgf/2M8evSQu59+2kteIYfWM1gvD8fGXvk5K/RGRKy0gpXpDLFb6hc2xCPWfUUP8X/lNHBtO1KmxlRsTBCazGC0GSgUKUBB2NhxkHkZAiOV23e2vPDcTQ4//Ji7z8741V/5e0zz7PRUT3Z0capRVYjO/Vpn1xIG6QbO3nc7Dmw3I+eXl/aH7kTsL7algUqixL/wYe1nLw7eGpPLQg+IZEiWJt6QSYtyYQQe1jAqvTNfPHIJ9EVxhLhn6YHcO5UKOgoZe9m0kbFJqsMw+LAn4fmXbvC1n/wyt1+8hQCnTy54+3sf8vEH9yw58YbDoMLXZsGcqddghq0pQxs9GKh2/n1ZQ560q5EQlJigillym1MkIxY0x34iyRyvV70QJZWEtAi8IYYgqZo5I5B11BET0223ALj0M9mautqB74F4uTibo55mxxs1+PYg3rtiR8L3yZNmswneuN0Uk9q8KlsalbrawlGa8X3hzh2m/X1ahZdffoVHT055dNjjmYbfR3pSF34mJNeMPrbcXf+B/p421Vi80lRa0OMWVM2/3ffIgwOnTLj/se9p1UvqUc10HqxmowiJW4RoujXuje+D985Q0HY1Yejyfki/LwaUpB7sxFC5rne/el8VO3ulaP+7UZ0yOpgjGNFTsc4HInKTtQNnZcOk/52gc60rMbG3C7VqWddIdI6PRh49uSQdncffcClB4Xiz5aXnb/PGay/y/Iu3ePDgEbUoz928wbWjLdtxYD+OzMWqY8adHdgdhOsn5uAb1WaitHDgS1XW3kV6v4T5asXoJ92Ne6/QWi3DEnSrDIcdiQNonxDqasmTot7DkK3yujskfuVX3+XjT/a898kTqmy4cesG6eyS3cW8BCd+xhrWqxPSd6LqleqekXQbGJch+ifGceT6jevUVpmm2ZJWMe77NJfuU81HWGISSL5V2ZxuIsJUY9KurHysEDKDwXOPoFw0tN6xBAn1vo0IBxc7Po4ZTYm5quOGRjnZ7/d2/1L2e6h9nRW/j4GgetLVh1c5LcyMsFUog4qbdEmM48TGm23GDZOaeIUlI26zHFCJVVo6acxXRQ6uYlMdlltjDeefffoxm6MjSj0wbkdef+N1Hj9+wr17D3pFSL0XMa0SyWGwXq/94dDHGCheWdaYrk2XGzXTpz0JNVDAKqIaai3KUikSR889GYrnlrSsV6+s+xoFCBJMil51W8WBEfwa5ZHAJ3rjc4sX6au4VA0vLy745b/9t5jm2SZAC0hOZBbVq46KXwGY3L6sgFJkmXIb53cWIQ0jorPFaiL0kyAGONRaDGwJanoy+7muiOj6Bf4RX184iM8SfNAFfUvJGoWqrqSc0nJs47+bZ5c5WZmmtMpA7gF5+DJVJeWB0H7QZhy9sSupLBfnivNcBb0hQ0kYiWRj10NCKgZXhOHvATaL4VgH8P39g9IChKxhlEWq95B/+OEH/F//wl/g0cNHnW4QQfuCRtE5hvFn64Mj8S5JVp8BSRbDbeXpZuuZHd1qbnTRzn83ZNoMWEtAq+RWyWLIkGl22/eIZkQV/0ikFWqptFq4vDznsN/RqjCX2VEE1ycefBiVN6FGE2582X5YsNtHq/ulLLUwtAjKjbbTWlsNfViMVSRanQag2vfBGppbT+DiIiTXxw2p0wjUBenoRNCmTPEnUKJoHNK+T725hiUA6migO4b4vpgAGedjkzJHm8xP/ckf56vffI1773/G3R98SpmV41vX+Ll/8qe5/+kjfvlv/BqtumJKFebSmOfZgnhHhS3QydRWbSz5ak36w/R/G7JuKKA7/WqTKa3SZHza4BUbb9ybBlOBbHepgjk6/zPwAU+9gTPoEhap1dZcfm6xo1GVG2LvizWhlVpJaiVfS5CENY8VR27i7tVSidJpvPMa6VjTLeL8gdPHUqK2mYuLHZ98cpd5qtQKH370PnNtSB+wQk8c+uf2/Y5KWAQzKyvkgUDomwM9MbQArHaDjb+D7WmUiT1OCltqh60PVxLE0XoWHyK6SEN64Jzjs+LfXjnUiMNEup2xtUlO9aPz3RcO9HIBI0HxHbU9W6217bE3dUZc3SlNEDMXQPvzVA21Hvp9CuQy7hDOaSfoOKukKGxnrer3MFC+ikjl4cMHNggvJWRrPPqpViqZ04sJzWec72Z2UzUJx2T3aUimUNFm74XBYpK2oiUFlazbJv/F58GZFn/mvj/QSFiCcruzggWmqfPG7ffpFY0WdiB5ySgQZ7WzW3TLZ4+EB08fcqiJfHKdzXDMuV4SlbyuKpekU3cMdfTz32LEUiQmtd+llJPfD2F/OHC4/5C5FNvPBM2VpqwVReKodIO0PisdifRX7XxyicMfwbQH0G7f0bQ6YBbyNon4YER7NSAhTXn5hZfYHh3x0Uef0MrMoRUPqvxOtMU+9udqlhgsfhTqStCBVh3kaF7djT1bgu/46glySozDYKprxem/V2iCyz/9IzT6Y+wpmi+YNZEPHBqwV777zl3IylwTrSU++vAj5t5Er8QMEpHFj7baOD4+5ubNmzx5+pTDYd/Pdq8UrdYlzkdcz0i2tD+1fW/KRmMJQxUBePxqOf0BzuF+zLjyRt1r5mM8SE4pMc/h6yKh8/Vqhl7HtOBIoOIrKvNN1cUFZj585x1KNfqYUY0XcRYjcbT+fvaZDo65b4/egZyDUqsL8hIGA+Fou7W+k8OMisVW7XNnpCc+PaYJwOe/4yCeWHQUsmmoxmGCCN7TkqVo/L8PAvKDUb3Tm1J8iEgExmYkplLIYuilJNBauvNLiR6I2UG07Y/gfVkYO6xJTJuXIbE9OvIBSUHpiGac6oH8goZ/PigI5C068rt7VEMGR2+qPVzuuHt5QZmNJ9URx45yWQkxeL/x8/w/CFDOvGVcomSEK3e+1hQrJCndADVvLIw9sne3n3u+NzUVzRZQZpRBEgwmG9dcDSQUD5IYop2lUutMVeWFl77EjfuXPNqdETquOQkiq8C3r1mgLXZZrZnUDLrG9oiVwKe59P2KJG/I2p1VOPbgjV6pWGBBURileTXFtRsdL+cLdrbsjNiUVJSuFiOwqGCsYmFRa7SzIS2WoAx54Oj4CG3Kbr/3Z1j2WH1N8yAMktjkke0m8wd/9uu88fpLfPfv/DbHMrAdRmSGZx884aO3PuHr/9hX+VP//J/gF/+zv+eBgoBzr7tGtJ9HuvrFEkjAqgriyGCL/oe0NAc5dO7P6+iXj7RPbuhaoFPqYaoYdYKWejNsBHXrpDeaqIxSuVAkokoGajKhugoGI7jzPgqrxnav3u9acNDF739UZKoP8JJkCgRXExpH6N0WmMNITKWRDpWUB1qZmfeXThPyEkjwVQVSX4clSIRVMLX6WQFjheGPCYid+gOuNrEYbOLGeKUEjYCW5b3d1ihOLwTiwqtlrU5dMrqf5cnS7UzymCdABbs7rT9HACiRjIZyVP9z5crd+HxpfnHy3jMh5pR7f4vL0VaWIACWZCcCgb5GaWm0i6a4sI8p2fTR9fOFrcHfodTCble4eS3x9HKhKR0m4XJ/yYNHj7h3/yHaZko7UGrl8dNLnp4+c7EE799J5oeaq1Y8/9wRP/rYpidrDdWM4Bn7SqxQut7L5Nt1RR5VcGRy8RH2q7yowPl5tepIBDv28THFU9wvJL87mo+YEfZzpamQDxMXn56hyeRGVfs2Lmc1nj0QMrR/X0+YPGgWxRuulWmySlApdWnqbVFFiwq89Pu+vgeIeI+PnYM02JyP9dmMh4zKBernHVmqu87x75V6bd1+xv92+8nkH9WC9c3mmKrVm51XP8sDV/dcJDHAy3TC/TPFencGMcrQMI5cu3YDJXFxcb4Cg6I5uS4Vh9Y4HA60VkjJK50YwAD0fgECBPK7kRFnVtiTVVVacOlVEM0cDrOj+QpSeXpqvnodzEb1IILGoKddXFzQZR8DgFhVv6XvkwMZaxDC5THRqyyGxUa4DYl7vwJX4tmGlBmy+9noNfE7lHNG54rW0vc/uX0xQnHYgLSIlqzWsCvi+HlpzSrqpcxxAZbk0ClOYev7/8WdTWYfc85U72XqqLkDT3kYEJQcfRzLsSISGXpioP4zPEHTAGr7S/BFvn5fja1g/D9z0rJkks497vJOGlMipV9m27gew/VGywgIuqNv1rBq49N9LLUH8IOr0jTPCq0xYgnslime0XTmDquakbEgx5H47BfN+U0pkI31EsrV5q3lcC6/VjV+d5mLB4pueB3d7E4Yc9pB4UhBd+gb7P+2iBKt3hjMVVnFo+0RKnB5WZdL0yygjcaq1C9Y9mCreqAgZOC5rfKlF46ZivLxw0su5qEbRLvAzsdLA3fvPyPl+1zsCurcuAhqB0cVzKFa0LYgYxVYjHZItoGQ1Gkz2gwtcO57q97YmXoq0C9CqBTEhVo+V8ksgUWgfYHIrRM8u5BtdfBs/VLOnZZkO7FUWkxCz8pfqs7/92Qq5eSUg9RnDKgb2IFIdhIvvfocX/3Wl/ne3/qH3Ll2nRdfuMHJyRH7feHeo3N40Pjh3/8R/9if+UN8+Zuv8953PmbuGbmgskjPLUGYjwhvV7WqrcEvKBnqE+lqpyUksWE9NJBVw1ly1Qoztsk4pE1s0JAWNDvHWbVz1NeSa+M42hmslTEZV7U5OcqCQHMCNlRrpTJDclQJRH22g9+7nJI5QQ9geuDfYNz42aP6HIaRy7U2ewRFcRZ6PuD3TnI31kkUdEaCQhABpUZVSRbHKq6G5HZmmRKa/WcZJz2tKBZB6Wmt9TsKUd1bVQ2UHoj2oHB15jtaH+dd/RfOM7a/F0lGIP5eVfDkZO0WWjPJ3HG7YZoml/u8WoGIbGLdeBl7GcEKLA4+5XVASv++2AxximEMrwo0NgLKHuh6wC6u+hB4ntlwx/4icQAkplKqNU9+dHfHj3/1Fuc18+zZM6ZpYi7C5X7P3fsPeOud9yn6BtoK57sdT5+e8fjZUy72l8ytUDxIaEAVOBmEl17c8NGDaQnywlq43wlnHfdsebY4Pqs+rlg7FasueUWsBzzWmOCBR99odxmNWiyEiTskHvSrKLLJkAo6XYBYJXtW4/dqi6b8qPhenV4aSbB7Fk+ccueYm720hHntc+OspEgIPYxWFppRnIucs/l6t/m94roKOOMMruI+Ol2jI+jVp2tCi2fWRvY/r62iknn67Jk167YJyd7L1SrjZrTZLVEpj3sUwboj7eY7M6oeb9RiYgcYve4wzb5GFtAu8puWxOfVvau1sNmMXLt+wtn5mcloijjHu/XDIlhAZ3UZA7jmuXrvFf75dqdnV7izituiwjWX0k0XHkfceu45msKjR49ITpc5OzvrexhCE1YB8xNeWz8vYTdChts7UlCtHTRqlU4VM9VHD8D9OSQC524/jFVQaJbYKMRAUBMRscqYavIKbmEQ6yEzWcmofi8KWlFZjEpVa5WUTIK5thltc59poLQu0mL7u6IERzAf9l4btUZisqxFnJsxmwJecZnWciiEBDPRMCytr4HRgVIHXXsMoks19/f6+uKNrY2VY9VezTKWmr20yR2GIwxHo8uljlIUCrX590KPCnDkNig7gsvE2UsOQ1ppjZtjFnT5O+5we0ndD9LR0RGqahMRW7Mu7TBYSTpPdx2wf55i098ncrXudLJL1fl0Q1aG3Jtz8miyiKYmor/LZy6ZaQ9COkoemak9U6mlS2LFyPg1EmoInO1Bq6Y8kqS4VveWIQ385Fdu8j//1/4M735yn//D/+0X2TNyKGoGQAAyKgNVE0/PZi52dzEFONM2hiVwtWdf9Ny7M9PFcUnoo68yTXtO+gCn1uxQF2/Oa+gVPehYo47C15g+J8uQLk8EW4sJfNkRDT9fedEghlWGzdVnNo1mhQyHad8DGcWc1uVuZ8/qU0WNLm9ymCmwCw+qmja+8uOvc/ede2xk4MXnb/ONr7/KK6+9wLOn56QffMjlfs/lxcxbv/kOf/CPfJ33vvcpUHsAmlMMsyr9PkaD6ZiNo7s/7Pv5tXNSjUIg5vyCNhb6usmTHFVLlPFyfE4ZTWrJQdsgzQyl0R5CwcFRhCBXIr2ZaxgGl710/vraDim9MqKqrmXvlZAYYLYyYuEU1pWOOAcxnTMC43UAAksyGX/XdJmdc6iwnyuRR4sY6DAO2Zp+dQED+r0MG+bJgAWb9crPDMcd/xwdHVni4vdk/RWBXsoD26MNtdVO77HnFw9wlrA7bM6VX6dQVXBevSt42M9ILJQfYdyMtFKvUmZW/SzmOOiVr6gILOXd1f7J8jxrsAI/V62pTXHzngv1hMhMdwLvQ9FVAN/3XIJa5bTD6lQXlupP0DriuVeZAJJGfvOHT/mX//Rr/Npbj7ttLKWw3x948vQZP3r7XQ7zzI2bpl7z7PSMx09PudjvKdjZLK16037jpRehlcT9U5OP3W42JJTDPNNaZcjeo4LNFDk5PmF/ubOgo2kPvoyesbwzYhTDNQouK9W2AMK8Uw+cCmcvbn+ntUp2rrTWSm0bJCeGbePF56+z3V7j40+fmb6VBFHG72A1m588OV3uUe72uzej+l4Pw8BmGPtskySBJfr3Yo38dqyuNk/HORlyXvk8e52wb0vSmro/MwDMgaiUSG63YsVMszv6PCq1VTaDNec3Yu0atc7sDvbzBlknnNp7T+yVE0WNLozQkepYdpvgDTTl8vKSoFMu5zFu3fo/7I5uj7Z8/etf49133+Xhw0emYb4CI2szCo24pO/x8TVu377N/QcP2B8mi7OyDfvz1fbjn0Byv8cRdNqdEIaNceVbU549e+ZD0ewshh1b9+2kbIDQ1JZEx/bkKtWY8PP+i7Db63VIg/nGoDPHzwATB5gmt7ueHMWwpzJPjGmw84THHNq8L9JsyWaztfMxTT2ZD3NgZ9zBHQ/mlYYMqTcYx0jjMJ1pdSavghVhWqPiHbKc1dVtkoF9RIUxEYGAvWoANNKBmqiudl16t81RnfwiX1+cEz8cOYGfFeq4lKttrK1rpGfpG5s8qBjHDfu9BdF59YCDIwFRQst5ICVHr5J2bnjOmc1mS9nv7PJ4ppnTQCC2gVhckT7DEK8+0a83E0WAbn/HHNEKoZAIxCO4z8TAiyjzxiZb536yTHDl5GKb7LIpQ/IhPI5ELhQgrgaskYV9zrlZqbB6ybzZ8CWWC2gUpLR6nmpyW1otMFZTJbjcz9y7+5DHj57Qmq661xtdw9fcEUmO2c+1o0yBNITRyqGGwVKeh/g9d7saoUToIftLi5VFaXbQc0pOU/CSrBvlHAMvsPO2LtkG6mwPFoFGVHYCCYJWZw94uru5st7mBHzfU7bBNNqobfYJfj4ASa1cv6DuGiGsP6P0Z49s+/qd63zynQ+5NozcuHGNN7/6Zb7xrTe59+l97t59wifbB8hGOX1ywcmNawxjZp4KIalZSiHnkZxd5eXzl1vVkSFLfFpraGtsNhtu37nD02dP2O0WPqH1soT2c5Q57Y4krd6o1xg4sNk05jaybziC4FQdRzw7SuHIYbhzVBHN/UkjuehBLn6OyKvfl4VHS1QbtCMiPYiVpfQsSXpZc+1E4+eFrYr7FrajaaMWddaQ2Yxx3MA8m0TkleDZ1DhsvxvRS1DK1YS8r6UqtRTOz8+vPEusQ0c6FY62W775zW+w2+94++33lmdsy7usn2MJ9uKc2Wc3l9iNBGtt//xv28Ta6nrz8cy1eRCyclQaifmSNMQ9CfBk/dW/x1OOsBONsGs2gVmbDfey3qjaqWhxhtfva39/kZIM2gjr1/IkvpXapYRFDL186+OJYYDXb01896kN+5pLQ3fG++U+7KYD165dR5JNfHz27JTDPLM9Puawn2gxq4LCP/uzr/GLv/Ep+9ns0Wa7AVUmr6w0N5ACaFWfDBzrfPVcxn8vyhZm36wherGv4pVpoAeyKeICwrbaQohkUFvTw35iyMLx0TWQLWVO2HbG+aQHNkfbLSklDvMEdb3n0s9zDM4Jath2u2UzjlzudlxeXvbEjW5ZVxUsj6Y+fx7nUkx2GUjDwOiT1y2IWa9TJHvShRki8zPKVkaHDcP2yBgB+x2UC4YEOFW2KaRsvUBR7RIRnw3jv0YZh4yglGq0P5VsCL/OZC1kKfYzJFPVPdDnEuulChhgicUMrNgKu8sdH3/8Kfv91BOxbicxpZVoZpVsTWqnF+cUbUgeetUFQi/dhmqKDtQqV85HJGEpG4r9zjvv+P64SpjSexfXtqZps/kUBjv33+/fEyBVM+56luQVzTgB8f1x7qK64YZc8YZYe77SNFr2zY/IMkdGaRzmA5WM0hgHYTNmaoO5uhJZUO9gifGc+hG9ING3ZZUV7Z/d+0MitnF/0CI5kX6DOyAQcSF4dd6Bn6D4ht2KClb8jJg9Ie6zLdNo/QxcrSJ/3ob/7l9fOIi/9dzzvP7665w+e8YnH328TNRrdvjHYbASn2D/7VxtVdhsN9y5/RwPHjzkUD0z9M81SR0zfHimFgGlNjVUUBvzpLRinPlw9KU00iYO6/LSPSBPAI3zizMrd3kTZGyJOPeq+tAQO19LA0hK0ru3TYNYMEWGmShlltIs4BkyBaPANEfq1aWCSjVppCGbokQ0Wq5L5Wskpo+xZ0E/7BdW+jEkKvfScwQwDW/uSIkqarFxTiQG/xnKvlZ+dO+c/+S/+DUuLvecH0aME+1ZqjrKSDPOsJrObs5rxAjMcawdb3B/VzSrlMi+2hEoBjLbWqVoRfJgl7VqvzwqwVsrfpGvKvqkFa/bJrGtONn2REtAgiOawesgLmZQrjDD49l9EqNtjWNm3BwxT3veeOMNHj16xMPHT1mjs/FZa9QXXfo2UsqQhMEH/FQxjiQtAqrmM3+yKRqUoPH4YKOkFrg70rlQEwI1sVJ8qJ80bZ7kOIc/Z15+6SVKmTgc9r1qA06xCHZKJDMk7z0AaYXnb1XeeOM6D58KH9zdY7mT6aQji8EJGlle8YEDQSs+pCl7wlV7b8Ji6hde4e9IT3oCGMF7LzL+bqjX6j79btWbzuEWr/K5Ywk0ZLc/eCAWjXPS7YC4AkanEqlevb8IR5stSmOezEa1Wnti5b7KqQTSAzZxlOf4+NiDJU8gVmhQBMUi3irjyXM8RwJCdjZ2IEUSqz4lu6k1P2qzpsi2VCIFl8ENZKkulBpTX3Law4rbGwlbLH8ktNps0JdRipLZkAYvvfgyu/2eZ8+eAAGCmI0Q5YqqS+xVd2Z9i+0MWMI1Mm5Gdpc7D1QirhCUxKE0/stfvsuf/VMv87333qbWTPIK1e6wo51W9tOB7eYZOWVaVUcJlVdefZXLy0s+eP8jROGnfmzLS3e2/Md/+ZScBkQb+8O+P1dYxH4mWmO/39ueOUUG37fO1PYsrttztx0WiJhjX96HXvE1Na6lmS7K8ZJH0Ar1AK3QNDPPmQcP97R68AF0ljQjy10IHxLVrMUP+XI7GqslaKyN3W5niSCRwP/OALDOTueKxsgW4gJ+bqMR3pOFNZ1nudfLHTPtdDvLyf8RAU0D6fgGP/6H/yh1arz129+mXVaSTAZDKaRq8UXOiTQY/WRJMOhKfi88f4ebN67zwYcf0yafu6BG/9zSuHltyzAOPDk/cCjJch6RcG6EnxJPLsVfv63PMqbZf+/uA3/nsGsL/RhVB0NTB7rOLs59nsKASY8qpqfiAbKqB6vDlX6d5JSRWmy2yMXFpQX1EskQV9a8S5f6LJyo8IWPFZGFux8AjliDZ072buEGjBFg3xoxU7/jq59pPzeTJJTIIsC1+0BONml+trUcxsTXvvYVpqnyznufMNdi9tKpVVGlrjHgz4HiqDZZvrlSZPMeSry/IuR38fO6+N4FtBmGod+X6Nfqz+v3qoaaHYuPbbEk7g/CNgToHfFmKWXVAPuP/vrCQfwrr7zOn/kz/wwff/QRf/Xxf8XZM5twmp3crs0eYPZJXuHsJBli/vjJE+Za+myDoHwUz2iXoKA5z1dMy1li0p8pWcTGW6e3TREzDW26UYkgLcqQMXWvZ5x4IuGOOipIQTkYhoFhMP7UOog3B2a631EygupG0ChPKrhWbHMMwgyh0U+80cwvfs+6VJ0XGRkkhG59KK4sjTtWHswSDt//TiR1REObXzwEk480Ay4Iz3bKDz49QyQxt0xzjpcFi9l4eEkR51Ibmrk47LiMSzlUVzJlJu3ZL3jINnoZLostkCEGKwTADzVYThrZbwQp4eCWUrMH6WIOfZ6KV2z8SGugCKlftrgsgQikCEQaXYZUxdSGpunAMCROjo+5dnzE6TiYmlJ3xov+f3x+LwPrgla3Jjx9es6129fY3zvlybNT3nn7PS4vnvHk8QWPnpwyHxq1No6fO2GeJm8uKr3RR7UxzwdqXdFFJBCchYaVWNDm1hqH/Z7v/+AHhlRXsEpFNDsuDZZmiEzuqhYFPXCyyfzkT7zMv//v/8v85b/2Hf6T/9uv2vKpuJSm7YHJgPq05sn53oFC4FQqhLkWBjE+akxAjIrJFd60barvsJ2RQO6TB8ZhXK+Ua8OQypL4WrAbw6nCeGv/R+PXAf/YC/ZSbqBIyZP7a9dOqFU5TLVT/tYNe+NoE3WnySRYW7fOdMphBHW9klkK77zzLooyT7MH63bvOyezB31+p9oq6PUqYwTW5jTWyZE9g72mOaawv+FMrF+lkAnuc9iapVK1OCn7D+NVq+v2ezDkKhCx93nYkPMIVXn19Td4/Pgx9x8+cNpe3JUADehrYgc0EjerKMaxUBFU4Pbzd7hz+zaf3b3L48dPSFG5MG/CkAZ+462Jn/76nv/hn36F//tfu0vxO1Nb43K/57A/MOYdIj6NslZaUsb7D9lPO8q050u3Kv/Gv/R1/tP/7yfACSMTVYxOIaWaU27KkJQ8DKiYdn8trnbhZ9voJb6WzYJS7UGOG29Z9jUSueq9YUmy3ytLOJND8tosyLfAKipXFhxOsymopLRBJZEHk1asRfv673a7ZcMdjYxaZYB0cz/nYiBUKVxcnjvlSjt3OqQMI8jsYN3q7H4+6W4o2prPmLGKqHci+IHzpXHftBlH2jyBNFIa2Kly+/Yd/rV/+3/K7nLiz/+H/wEPP9rTpoLWGcRsU9LE8dEWbUqZd3Y+s/kisSykU0ZyEhKVWUEajDRunmz4Qz/+YzRtfPuH7zM108CPl7NqQaLz4R2V7sMZI1bryZrFKAa2hO1zH+QzX0xCGc4uL62aH+fDuWySsj1gSpasN/q+2ecmD9YdUG1mG2pt3hAcMYj5TfW9jN4MC1o9BnHbZWcgGvvtPIUam32+gXB2jd1G4HFd3/oF+OjV7DRakmCGk6jgS4JxO/DGl1/n4YNTnj55SE7i1bxiVJZVMhPBcNAG15UwQ0EsOUlp6ECTNvXk0Jk1bkdCGQesEgT0pncbjrnaUzOOPe5S0wP1fV9sbayjeMy8roB+vuq6/vU/6usLB/GfffIhv/rLf4fd+SXzfmdd6n6ISiudwG/cNTpSHJzQw8GIaDHdNA5x06U5ZrPdkCRxmGZi4qoISG5oaUuHvBs9yRHILRfjSukcXAI2snl6gBALFdllMuFs8pDJHrhHk2D8t6FyA6rZULZmDj6JXfzWZsi6XABPVFC98mzZL2ercWAXZMZsvmENohbYK80bJWESoUsRuKEfxy2qMJdmQ1/Usu712QK7fENKJBk41AMpqSMJZsiy8yDzMNjlbSv6hBtRe7erTaygNvzJHWSnC0R52FwP4mLmTSuaTEs7qgt5TAw0hgzjkLisjUOzxC2rJRZ5lcKK5L7/42gGYJ6MahJqFvberQcEazR/Xb1IDK4Q0LrBqg1Ozy8Yh5Hv/vBt76ewJQ/Jq352ekDsvORWqbNSkpAY+dF33uVP/BN/iO9+/Jh7j06pfMDHn9xjOiiPnl5wcbFnLjPf/Imv8v5bH1NKpc2hFx9OwBsb4wxrTMYNx2tzEBT16pC4br6XpwmFA9uvNYoQlDBwdEdtHx8+2fHr3/6Qjz95bE3lWpEmPnbagsxcM9RCo1B9Has7HDxJQsUDXA/4mgdxtmqrRMjvcHM5WvEyugfVkhdUJQbFdFQnUPZ+967ar46+2E2w5E7i77ldSdnWwRO9cDxG60gcHZ8wl8phurBMPRwHMG5GQ4SAcbNlmoqf71UlDbA2teV/tTXKxYGpFKxIaapctUXPR7yT71W1exgOkOYI+OpFFwccspJW+RERQ/eaOazqb54xBamI+cXL1hGORwYUDt9drDcte7Am9Mpr2OTSqUmJ73/vO9RSGJJYYyuhqhX0RpMeVhQbKIc3V6tT6AP9M5v55PETULh2fMIzeerUKxymUCqNOlf+4n/1Gf+zf/XL/I//mVf4f/7th1wezOnFQMAijSRGaxCEqpVPp/sM0vjyC8K/9T/4Gn/jlz/jw8cDm6PMdAlNqjXWkSgKWxF+4oXnePOF5/itDz7ho8tqjgen3my2bLZbDvuDyfh5smiVP0OpK8EtT8u5ChCk2XoZeLr0eCjitABTJcrZkh6NFgxRSEpTqwzZNOerggPqwEVUEAATGOoBvdHAkrDYVaDUSBAjD5aeaAQarc53lvA/nwtKAngCtamZvdHOPwsFtcbGnITNJvH8c7d49uQpu4PZTIaBw8Ulv/Z3fhmtM9PFE1qxoXd2PuPGK9M8d/tv59n14dWSnkePHvP48VOn9kbjsgW84/aYo+u3OD09NVqW2w3F14WQvnWaVER4LFRDekyyrH9OlpSDdkqW7fsSI60DQNwuNDVFIuPAJ6IRNyQKw6ZGIGsBqQOVkk2gQCuSWQ15irk2ZnisWpgWyedmwIT6HtmjWuJdnXYTCXlMXh2GAQWm6Bm0TNyXXYnpegY82VlJvvrR1F6a8uz8jDJPTo2Gt370PrUaJVI90zNwSVEtxBA19ep0B306iBGKa8sARQ0jnZKzPdKKvktfY7CkOae8UAu9DyxoQ9rUwzR/Pgdn06pfNO4dLIBo0D+7LO0X+BL9guH+V7/2DQvUFCs7qiHbjerZEIsB8pJMfC3B68LxU0fZLNioruVrB6/U5SWU5gbESiPSFt5UoPrHR8eONjYvWzjSb1u7apDyyX9eYgJLNhAPBLNNV9yMI4MH78MwMvjAHpFYbMA3aJ4m5nlmngtznSm12KRFEW9qcj55c2dYpZeyPabsztriFivD1NKQZmtsqsbGGZ9QZEgMjd6DMAw2ldKQfvGGDUsgWmt9YIVdDrOcDQsGGvghz35YG0dHWwDm2RQkFsWXBVmIxCsQoShf1RbNiJ5JO+JjjSkNJFOqXaYhJwv4gAwMUnnh9glfeeNV3v34HvefXmKAVjIkxhbSjI0HSDHsCbiCSl5BPHHUXLU3P60NnTWX5V71WCO1Nt7Zzp8hx6au0huzsAZGbYtsVfYEZ3M0knNme5T4M//yz9PKxMff/Zhrmy3bzUBtwu7S5PDu/NhzvPy1F/hrf/FXOH+2Y54rc6lWktM4L+FkzXL0Cok7jiGb4opwVRkDf55FRSNKe9p5hxbApS4dmjNsBuXoaORyNzPNDa0VZKAOxsBPKgwtsxmFWRqX+0bCgvg8JA8YbUm32y2tVEqdO1fxSkKNh4zV5FJT9oqLG0ST6LP9XihBi7JRnMUYPGZBpriqis8L9kbRoHrZOljiZRSH5MZ9qZLZna/W+DqOfpevNqGLCCcnJ1Q15z7kzO5y7xK6DjQk492enFyjNdPY1lrcKVhxXCOnFqW2meyye80H4eQ8GH1M1cCEaH5H3Fk08mDJpFWZklXFPKAQEUOai5WrS/KElOzoslGdNuOGcRxopXijFktQ7/Z1GPxemIF3h740X0eVSnoyvVA3DKwIO+o0w0CekrDZHnPr9h0OhwNnz56B1iXY1daFCOLuz9NkiUESv5cFKqSWEGmc3Gj86//917hxPPD//uuf8tkTYZobdXbENAuDjiCNuTZOjpU//Yev80/+7Mv8pb/+Mb/+1gHVDZoyN198iVILzx7dI88zsySOmvJPvPkCP/Pll/grv/lDfnihHJoBFxHEn5xco9XG2fmZ09oWACkopNEfFgG0+vfUps5HXxC71L9nCQSsGdoGe8VgHkQ5Pr7ObrenzJPdYdYAzPIZPeBLnhyoeBAfVV9PDh2Rt/2yPxf3LVmEUmckLz7YvjwpSAv/O5LTnMTvSlrAIdRlYQvXrx1zvB3Yn59z49oN6lw5v9gxNZgYYTji+PiEo21md/GUw35n59WBLLWBNA5kpJ5c0MEzFs8YE48kEmElSeVos+HG9escpgNn5zvKbFKWdmEt0dxsN+Sc2e12ngAtQgtrtDVsS3bJ6SzittWDgHT1Hlmi0MiexDW1gNs+ry1ARlhRXapizemLQ3YKTh5oVSw50pnNJqOizEVputzDrogXNnLZRqI0rr6nUZFRb+AOe6qq3Lx1i2Gz4cmTp1SfJ3BFicUTHyMemNKcxQ2Z5lWUqrOBgGpsBpsSbbFJn/JL2M7ke7gSRiB+X7vdkKgk16u+KBKxSL6CBiPQe+qCDtiV3ZLhqjb1NaEOhPUg3OlLKpY4uUXu67T+igo+TiN+/733+b2+vvjEVmrPfHzn7EWylfTQWAfpXcYLx85GNGcRDvs9ORnaHShRfNXZGls0hUSe8c01J7yzzBy9K9fkwYK3LKalu5v2PYuJBGFppmAJhALhgH5gRYRNHrv8Vc5Dp9WM40jOq+E1EcDPs6PWzoEuArOVSlFoaXH2VUNv1zfX0YDIXpsHANeuHzGMmbOzC+bLApPJj2kemNWSplQTMNDaARF/jpRtiqg4Yhp61HacvfEkd/5yGKpF3WKhVVgT8EKVWcr/EcwP3RB1Xp8bD7eXNg3ZnXQgm80HdiVGaJ5YKKTc0GZd3TknjrYbxpQZO7KzJDsWbNmlCu30MFTrQWMBhkRzI62BN3OGSok5zEUJIjWryNRWOrooHqmEAgMR+PZL25ing581EF2aoe2oWan47/21X+fn/7k/yo//7Lf46Psf8uTsgtqE7dGWr/30l7l+6zp/8y/9XQ6XVrGqXoEJVCel5dxYs7d2g2N6xEt7LeJ5iRsV8btUdaWw0E+Goz3JaUXiwVZS9jPsXQKtdEnXjFQlJ2XIhk43rbR5z5CE5CORxVFuSyz1/8/anz3blmXnfdhvzLnW3uec22ZXTVZWh44ggAIBUCANiiIpSmyClBSSbYYjFJIjHP4P/OK/wuGw/aSw/OCQFKLZmAQFEKDYgATARgABCEChuqwu+3sz8zan2d1aa87hhzHGnOtkQUAiwrsiK2+eu8/ea60552i+8Y1vdIPlnx8KMNaP4hrpwQNdUeaFQCM/2mgZ3MNe6ox7TyKe/FTQ7ImMJ/VqiU/yoDZskKFjnZe9tks5W89CLepytVamNkUisx2n2ZCmshQm1Va2tf1vjjrnxDLtzfmroq4UAtmTQ6uWJGDMg1UsVlRBdX5qLRWtsyFJul7NHphE8macd+fACw0VyjlTkpWFJYLz1qvj+z2nJqfWHJ1Ik/C7hf/4en1UFShsLL4EFsjHUnUUCr+2nDIvv/wyP/qlH+db3/o219dX1jeSbE3BZP2Mnri04V8pZ6oo8yCojkAhqSGJu/3If/X3HvHTP7Tl//i//jy7nfIvf/tDXn/7huvrmVqEzXbhwb0tX/r++/zMj7/C+893/N//22/y1vuGYktVhvN7fN8Xf4D98cjls2cUMVrHkuC33n2Pb7z/iPcPyklHqxJW01BXnXzImrjyldtldwGpwXn+rLS1q3hy1M+Cuj1aU15wxLYuCg6kpRSBvHC2Oed4ONHQIjoyqW63Y98HSh3nNYKl5svdx6folZBEHkeb8Dwv/tm4jnttyXE/0NLOot8UFix7AFPt53FdOQ/cf/CQFx/e49vf+AbX19d86pOfgiHz/GZPqorWieN+YTp4cCoDlsLTfJcBwFbx0TiXfg3h56LPLQ+jJVfL0XwjwuE0sT8+IWSw7XPt+nPKjFuLFYz/Lj3BbfYuFMG6rVqDKjFs6sHDh6Qh8+GHH3ogb34npcSDB/copfD88voWABLPLz4z7ICxCEamaTKfnDek7TkpjUynE3UKfXh/WglSa5VShLT6jti10np3VJuR9hu1d1gSJlB9WKHb4lBmiqA7RBislOMzX8Ttuf+MunAuyibBviiLBr0akNoNHWJNzjUSUmtozimtzlfz9HY3AuKy5W1dAnRwmxc9S37MegIgRonJWvnCq5/h/OKcb3zrWywKVayCgBj4wFI93kktPbh1DOIJ+/6oDvg2paA/5PWxg/hAalM2lY4WLnmWErtIV0HyGqmyizNZt5TtmC5lcck7mOfJHq3fXQsaE46CGkcMHySDajPgp5M17oRxbzrpdBnGUksrsZdSrEyUTYIwIYZWYzz7cM7jOLZAfth4idfv2ZARo7csqPHjHDmh+tRKTFe2agx4cuMUm6IXp6ilMI4Dr3760zx84T7f+PrX2c1XFAo1DdScKSokXRjnPed54KimNoNiPLVaSYGA1EoerBRmk1cr1dFpQ1r8sHrg0stwuXGvY2OLH6we0Fei9BnIWkdDXZEklDoiWKwKmIKRyOwBqK91gaqJgvD82ZEv37zOUpWNG9ipenabLGMvZW7BbRab9pn8mUaACMHVNZ3e7WZDzgOTy3NGsmd+ySpHksVL93ZibYCOVS1smIXrBCuuEuO/q+KoqDfGjgPqqilCoiTh+urEv/jZf8MP/vgX+f4vfZGLO2dIThz3J77z1Tf5N//o1zldT6RiUmpFO0MkULemSas9+FE3NJbsBA/c3pPozbu34lzpSjG1lcW1qWQUVUx+wRMISeTxrBnfofpQlqKcltlGrFdXKUim0GTxpjbTX91Rhq0QFVd2CBWfHtQpdv8GBFRPnMKGxH61p68G23uCVTzRt30tXkIWl+VLq+CzybFW556vXrfRqB6I9oqUG/ZFWxKCq0JUVaQWK+PXUG8S7tw953OffY2nT5/wwQdPrRAfQYVGAG5Vs7t3LnjhzgW7mxue7/fN8K+RG6teBhiRGhKEJyeW/HjiXnwPJ6cppAR5wEhRNkjMUF9zLqXMnLQQFZ2OTFkyGVrva1sN4qVwaYhcR4iDstURveTNr+O44XS0ATjxutnf8NWvfsW47skGeQmQB0F98F91KlkEYXbO7Rqsw66iQwbsz5TMb3z1xDff/AZ/8kde5qf/+H3+6p95maE1Gis3x8JXv3PFf/V3v8UbH5jcZ/J9Q0qUMvN7X/4dShXKZFVL6zLJPFHh/VNF0zmZhMhMTXgF1qp0bQ0j8IjnlPr+a2chfE00IMfPIhHyn2dXHVM/6FEZDVWyqsrT6UmblaJoU2qLykd8b/MDNSpV3b5HD4VEEOz9LAKMYv5kItTZzG6acXJyRKvCOA++fV6nDQxDZlluV7lSSnz44VOeP3/GVJRB4PnVFVMpLiAR+ypZ5U3MF2zHLUPO7I/ehJvse0stNFKd31+rTjrVKFORNPpnVu+X8oDbASBJQxuOd35+zic//UnOzs54+vS5S8WaXY35EafTiSq3FbPad7e8SZmXmcFtTArg0hMCq+6F+IS0BK4nAWZbQwbWAmNlsx2ZC9y9/5A//x/8ZT73fT/A3/lbf4f33voW1TXTEW1Ev5QqeOK/3hspZmt4ZcjAy48Emr55o1q53+1I40DQUIizmrPvXYvhahnwDn3vJ1SGVBmk8CPf91m+9MM/xM//ym/w/pNri63E7UxYp1tADZ5IdcGHABKabKnvgRagx/mDDvLVmGuSb0fcJZgORt8bnLFhTePifZEW625cGr7MDurgFPJIgOixdPjlOB+svvIPev0RJ7aGA+uIjVLZbEcS2bI731AfLR+VZW7624GG2wZXokEzeFdJjDpiA0Gdw1SN7xRPWhQvNVtSMc/L+iJbwN2MFStDFciTqqGLJIZspfJpWthsNwy5B/CbzYbtdkMMT7GGtsK84oQbkm5Z7VKUZT66U03t58TmCPQj0BU1jerNmLm+vuL65sqmqMlCyYoOiUWtPJt04YV7A1/8zKf45rvPuNrZCOkIXJXgoQVSmdCsrbEt0NzQjw1EMXbMet1i7aLJF4bGXSylowjxyFsTqnhWT0f4zfCMzmk2+VDUaDZVk/cxKae5klPilRfvczzsef/Zjam3DFtvnO1zAXCkxsrA6VY3t4izOT0bFzrn08p3hq7VNunVO9SNSLlKVsxtieCqELYf22AgN0phPAOFwvfyrEYhmrWgpfKVf/stvvk7b/CZ1z5D2oy8+dab1PnEpgjnw8AcTZGO8qckDGN2RE+asY+AKLVEqa9d8CjXlTA8wIr/tYRZVk5MQxnDKxhukC2pg+Ja8kpGZKDWynyaUSpDVAMaSvX7oQhRlqcFl/Z8MyHvOs+zP0s7H8WVB4Y0tgC2BdH+3KNRPZLJ7MGr2RPH3rInaUU68KB9bkFHg7txj89rpd/VMx68Ahdl71tDa/xeJVvDuQrcuXuXH/vSj/G1r36VDz544sCBvbc0pr7xP+f5RK1bzs7OyIcjy+oawrn7riOqjCmJJTNBoyvWd5Cz3VPV2qiIRTBbGn7Vt8g42jkP/qqh9l71IcCLsA229XPKbLcbSiks02yL5oFeOKePyny2xv5kk7SneWqBa9HC9c01N7sdOZn0oIkLWCXveDig/v4hqmxiSUithbRUcs0stRho4Xs8qSFzT6+Ff/xvn/BPf+1D8uCN/GlAknA8KtMSmfMA4rrldBDq5uqSuoDUQh59j0gySqyOJB1QLQY2OTpZUQMNVwnhGhBSdVWKZNSgBpDRgzuFhsyt1bGGYaBq9emjnlRKR9ljPVUxdSJo5118HeI6blMkvRLuykoR/ETIXVQZsNtU1/4WoU1X37hfjZ6qnIdeMf2oWYj91P7OaEGkxIL9zmmqVg2rhafPry1hTgLJKFPi3JmUjO89iDBmIdfqAaU4UlxvBXshZGHUV/ODpVSQ1lhggar3Hi0+kXXIXgWrpamMmNBHbr7EeunAKBfp1jOOdai1Ophku+Py+sqr4TYgKRgNqrDfe0PuMNier9GXcxt4yNkw9Fqi+dLs4bg95wd/6If50k/9JD/3P/wDYzJ4nwCq1qeWHMiswhx9Jn69eTAQrrjaXlc18xR/HfNhcdwwjhSJimw8UvGEZfL951xztWpwVTWFusFPX4btuTWfW19QaWdS/XvauSKoSgKuytcS4ZXfkGR/txRLdFplqva5B9Wrw82WaVjFHudMqrz+xpvkcbAGcMtEGDQxUnl4cc4wJq5udpxOpcW4kgY/YwtGuwsApdvKW5XOP+D1sYP4LkFFc3YmGSe3AtLkii9a+uYErAQcWZoqWhfjmHrWWSOQ8jKkccAym7Mtm+2G4/HIaTqussLEdrO1UlHVJpG2liaL74rfySE11BoR7T3WES+eKMCQB5vG6QHsONo/m81g/E2sL+DoWkqlFMoi1JwMxSCGC3iTR+kGFQzpjMZAPEgstTBNladPnzIvhWUuhkKNjnboQkrm7o8qPD0tlMbfgzbiHLuHCARbedvXsdZK9sNAbGp30oHOxvtiI0XPgk08i8mUcwvQY0BBdo5YLYbqVbAJgr6xrTSbQTfUxXi7KVvpW7IdxnFMnJ9v+WM/9AUuL59zuX+d6RQNK4boJ7zhWUya73g6sneVhcaPXxmVWk3yrTmtnuOZvFytLVtfV5DCeIq4Zq0fsnEcTAWnne5odOrGNMq2WhVZChDPNjFI4ubyyJKPnA4LQxXOt1vuXdzh6vpInWdEk7vLAaMvlfC33vRoiheGltfOQPHrDplAc5At1/cExOYzgNEpUgi7eHXFKmTW1NwQAU9SLKgrTnnxlECsUQgxt97k0qQPdFlTKvJqUI9EwlO0P6/UA2jPft359/UMGpSAo4Y9id6cbUBNFasssZ+9YUj11pkI/e32iiMlHYWMVytvCo0ety6Ps0L2vIbRbNvTZ8/55V/5l+z2OweyXJkFC5ZqAASi7I8HPigLYxpc0Sut9pUjSk6XS0laxSaGO2lLpBTVCE6qN4tBlcq0TFZpSuICMGZzQ753TYVZJxBRol/K4pJ31u8wTRO1FJ/kmW59RltnelAiYo2v19fXTl8LH1mpy8w4bKzpNicu7lxwcXGB1srV82fc3CjV/RFY0l/F9O/Plsp2HNhFQ6MIbBJ1Lo3ilJZkJe/F+ebq1EwJOlhFs/EKakmO5FrirmKNjkkXP4sgqoxOW7LGaOO0dnk+p7usJgq3LbPyR8FJb0F6JKq+t6K36+TVxLBHQcUMtNxPktllbzj0k9+59L9PcroGudr5jKSW/hkIbMiYFoS2KrqoktVkjmstsOp16Eoh/ZjpR/ZIo3nS/Vb/2dCbCcXPjC0/oZBiGt+2HhfbczbjwGl/40FfoqUIzedbEnTnzh3meWa/31OrT3pdaJr1IQjQKih+/kyNBY6HI++99x6CAR4GdLlU4HwihsLFeq/9y/qZVzBaEsW3jbbvtb/v/lZW4E0YLREDP7fDwDKdyLi0Y7LVu35+xc/+vb/Hv/jlX+LJ+2+TdKKWmSFJL7xmYSk12ItmMz22WzxBW79M678j8gbYLo0y/eDhQ/anI9dXVy1ZNWqn+Uhz14WUtVXXpApJBuoMJ0l847uP+e5bj3i2Kwb4ScSh4mer0zLNb3B7ryXxKmzvl6JGX4Q9P0s8rN3fQHaPMwK48+ctElUmhwxTZqZ6Bclj32oIPRWYK3fv3WMulePppn9ftfMb1f5mAyLR/Yid+INeH58TL30TZ1enCO77MhUY1qWKjxiIbhNQDQekplKizUzZwtZqpWF3WPOyIHnA7rkf1lIXjscD4nx4kqEqQx6YTqZhj3O3JHU1EVsKnDLTNT6r61lL2xjmIIchMY4D5+db7lxcWOKBdVsbGtdHQIsodZkRMVQLKsu8WGZdg9/sTRw1OP/SnkupSj2eGEajfpxReGU7cHG+4d3nz9jrAHlgNwlvvHdjVQgPBMDRuJCfakGo00KkGxDLVB3FwoMz9JZRiQSmlkIpC6dTUGjEEelwTuINHvZ7xfVlE4M9/6Y5nYyXruEUzOiXZfHMG+7cu8fd84Fpd81333iTw7SjipIGYakT1Ztci7rElMBpnlFMUacNcwhFCwn60Gq4ltAC7vAkUZaMZtiQGm2KRO1ZmtVWUTZnA6+8+pC79+8wnyY+fPyMm+d7hrSxEdKB8tvNAybNqKXAfGJ6/zGaMtM8U1Cu5sJ+d8OQDvyx1wYePBi4OSTefnzgyfXMVArijVARzddaGZNXO6CrQ3hA3LBw7YYtkr1a62qiayRsQUHxFmgPjmOgFVVtMmSqbFCWmqn5nKLFqyD2e5SFUNJZy3BaUtmT9giW10hS9rJw0RUqeAvxoTUYNUwv7i0bfezi4sISs726rViV6H3fNvmwWs2BeaATqk6KyzyuqACRFIdCTiQEEXSFdnCTX/NJu1A4TQvvPX6flLJTk2aolfv37nIsM/v55I5NqSKcavEGf7nlOGO4XjwHU1kJB6Tm4OhBSpzTIZlUXhJhFmUBRAua5FYyP9f5tu12B2j2xW3oiuKkWrm+vmx2pDlStyHr4E3VEPN1glx8inXLqlFvkiuQErqYbR1c4/vsfMs8Txzqgi52Hhe1qsOg8MntXV775Kf42ntv8qxOzLrYNFUR0JE0DizVucZqQbsN/qoeyLsNrEqtKXJ+O1/JfM2Si9mNAklGTOaxQJ3QbHSlMInjsGkgxzAM7TmIm+pSSwcSiis+BZgiluyV0t9z795dhmEwCmnQBdwmtMGEsWf8sWZvJk2pJ311CXvvVMKw995bVJ0OZmeuJ5DiHGOrlC9s88CShFoXqvjMF9wG+Wetz3/snVbpArqsJB5ASU/qiCQdVC3YNPGUAcmudKR402dt+8kaCL3XJkWfTG3UrEBgaq1GdQmeNWBDyawpWVKixqRs7zMaXMa4VNsHJDpI5L5NtXA6LQTXe+1X4yy1NcoWC2gJqmCg66x+tycQtpd7E3Jd2a/tuOHenQt2alPkh5StGkyhzhNvfvubvPXdQp33ZC3k1MGX6qpvHdSoRFAcXy8iDqL53lkBuA0sHQYDC2rl5uaGYTuy2W5Y5qX541qro/o23ReX+6RYc6u9b6CSuFkUnWYHjB3Ma8IZq2C9PVvbC8nBoKCiNR8ucR4sIVjv8ez9Vzllr4DSwKtgTQTYl1OmOAVSfYZDyiYWUtQAwpvDxPH9J1aJB6cHZu/zcxVB9anz9L3RYdc//PXxJ7aKT0alGn8S1wRWWrkpiTcbBmqzmsbah3n00qCNJbcDYPs3o1ItAFYbQDGfFpZlTwSM/igtuEtCHo1aIdURQRaGjUmTpZyZlu40mkNZBQ1W3jXay5CzBza2mDknhiFztt1w5+KCe3fvstlsQIyHn3xDa63UOnO+GckoZbd39Nq43CSQUlEtlGJd90OWVYOG9ImqRUlVGSQx1D1/9sd+kB/8/Of47//pL/Gdq0IpQqpG2TFHR2u8aocsBecqR/zYUJqcM5HEi+U5xtHHeV6+pRsitDrIoVBgjfRR1vcP8vUZLGq1MqJHaGYcLVDX4vsnuea74jJRmd3NgXIaKfPEt954F1JF8wacHmJhm5LzaP5FhKUsbLdb8jhwdDS+mHdtB8EkN0NLX9t/x75oQyCa2L6AenKIkLJ6kiacbQf++E99kZ/46R9mmhYun12xPdvy4iv3uXx6zT//hV/n5snB+hdiLVDTca7Vp8B5f4YYmlNKIY8zf+Yn7/NTP/oyl7vC42cT9+8MvPqJz/Dmewf+2194g6f7RMGQrlJNLvSFB/c4Hg9c7w4gSs4bhJgq7IoSHlAbJ1caz1OwZDPQPESMciKJeS6kYjxqUu+b2FThpW3l83c2PD5U3kc4zpmqC1Wid8CROBGovSxo56XZTe/LqAwSgX6sjwar1vakWMCltcuFSZQPPJoyA2sB383NrtN6wBvdacGKgA9iWvUViDn7dVIRZdXkpa1wqBHoxFkSETabjdGLGrVAu3SbJ3O1wtnFOXcu7vL8yXNqPTGeb1hOSnJlowrkZIPziuLNWhakCuZgkleFrPF5Vf0MtC9ACNMkBGBMcHfIbIeRZ9NkAdqCzelQRcTL3dqbdgN5InvpviqkniAWtYbgGFAVzXGhoQ+9evE9VQsCSAu00TZG6KcLsEwndBw57ndotcRwmiZKnR2JdUlK8R4MSVwvE+8+f8qpLm6Dt2y355yWI0kS5xcX7I8HptNk/iP16Y4JU7iJfRPVVBGnSy3mU0hOzyji5sIqGJqUkgytHKpXOjNtNEEr+0uvXoVCmHCbFmBV7pWSTLIqwDBmlIHTdGyJTvJAPGg0eKAUfHzFJSm1xlDWti4pJQe7wmaoUaaqyc4O2eghKUUVqCfGm5R46eEL3N2e8d233+QkShpHlnnBRYENxfVkr5Zi/rWBB5GUmr0NHx2N7nE+zZUkF9HQxmdGrVdBivdciVpPWIXL3TX5mBm3Z2zSwLQsSHVCocSese87Ho++H9eUEEs4DBWOpMaq9HcuLgx4KuZLxnGkam7UupgeSqxr6wfowXskduagpPlt1X4N0taUZjAl2TDCW71MnvSIwDwfubqemHzmhEqQuCroTFZlOZ1AC6qFlIUqSlXrz0Gtz6xK9Qog7XsiLkgeeFb3842yEjGaL66qiW6kIbcZP7G/AZshkgDJ1CJI3WAsBvuuzXbDaTnZhHTUbKErfqVba6XNRqvbenv+3xvehp2xdSouUx1gJ7zw8CHnmw2X19ecFmVefNp9CfnpDj5pqqSamp+tYnY0chs2I0stzLP7GjKbzYZlqUT/ViQ/bY2J+Dl/z7X/L70+dhB/9+59rq4vTaIIc9C6mFb6kCzLtf6ftOLF0ozIGhkuH+FV2edZNj4MJgFp8maG3CTtGVWghttxJI8j82JDcSQll/iDs+2ZBSaLJw+rUk84k6bzDQ3BMD5Zas1Ohk5kNpuR87Mz7lxccHHnDsMwcDge2+E8TUdUL7jYbih1Ync4NA6nJpBqG8QobBYAhExaNACaPJ6hcNHcMaF87d3HPNlPfHgzcVwcIaVCPWF8w4SQ0WTKLyvGsyE/IixlalxEIQI6C5SyJIoW8mAUonla2iELRCBnH6g0F6KaYA8UVrsver4ZcmIYR47zZNl1lLKqozHJhpjkITJ3QxNKLTaIBGEqA7UKogPq6gY5mWFNiZDLNaSqFq+4pJaoRRmwH2ptwZoEX1vxhmaa3nVq9BpzZkkMUU+SSFn5c3/tJ3nx5Rf4J3//XzHtZ0ITtqaFH/ixz/Kf/pd/iZ/77/45Tx5fOorqI5+rS1Ri9JaQPNVS2Qzwn/+1T8IA/4+/+xZPnleWxRzixbnw7/2JM/7P//sf4v/y33+Hx88i0TDqxOFwoMyzIU1KLyuKLVAw+uL+q9Acj7qDTSmbwpSXVbEtiIo5jDWF7Qz4kU/c4T/54c/yC1/9Fk+ezoiMJGZElEUWqksfykr+MXvwWxXjbCaTB4skP8deUvx5iyde4jQEK89S7f0hvbmuAkWVbppOLnObXCWAltCllOhDscLpYElfwhOecIypXU9s+VoDTc4t+NO6AggU51iISfpBqz6AsswLx+PRStOifPD8qTfkmyrWkEe223Om02zzAjT0p+02Uzb9bPHrrNUcsVXJTEbOpucGL9r3fim8+OIDXrj/kKu33nCxAEtCqj8XcbQTeuWuqSP5czI7ZmdNqiXl+P6oeOISFUbtFL1bQQuGUi1laTYjAIhAgFP2a18WpulIqTMp2ej4ZbG9lgazn1ZRyRQRPtCFJzfPnMCXOR/PGIYtpzRTgd3xwDJNfn8GUhgdp/r2k0bVsIEyyZKwqE4sHjhpQtSoAclVMsL6UhVNtuOiERFoMzRy7jMIcLqhhK3yPVlq6e8ffP5KKXz45MktPxpbTvz5Vxdw2Gy2oDjH3gJg3D7UWl1xLbe9dfs8iNtbeOGFBwzDwNMnT83Hx5eJJY+Xl5dM4465LJQsLItVcgbp+vIiWBDnNAiji/TgieqygNrdSfsa55Q3gCnZ2azSVfCk2QBDVmtSJlUGxKsfySUhrTfC9Szac2yAlCcVOWfGbPsz1E5iimerynYOG9uzM1KCq6tLGhPBaUA59UqkvV3aUMw13dNRnfb8awCfnuwE/bXW6hLW63gGgsI218pcQ2Y5N7AjASktlkzFHI+Ubdq3BUEIoRPvAgGp7wWjNa18i1cw0xCT47tCXGsk9aD6eNrTKi3Sg1YV9YRWjF6LxV/jNhmlRxcLkCumiAXtM25RkfQ22wCPN3HpczPlAQvZpsqx73GxAqxiNebE2WbDToQlKTPVm5QD3AlgyTap3WslJXWxgoUsmVKVaZmNildhyBsrNmgwFyImiv0elB2PiVbU5j/s9bGD+HmZLbDxMjg4rzOJ8WHV5OzioUbQYAhB52vHsAo0cTwVJCvDuAEZqNPeDM/sTWLJeUlqG2ikcv9sY0oV44Y5Z47Pju26gq9tXFhruB23A9M0IxrlwjXKkt3nVnJdqSdI58ya0c2M48jF3bt84uWXuHPnLte7nSu/LF6OKxxPE9NSISdk8aytzt5r7XzuQAKDn4nx1TaDGdXd7sa0mUWZ08iXH1+S37/hMMU4WEN1Jenq2eJZtN9bSqRq3DwiQPMWeEustZXFVYslMSKU2ZMypwXY5ipsNiN3795jvzuy3+8aWpnoo4XFk4+otFSskoJEQGlIv1GfcnsGVU26sI22H0y3Wqvz38he0XE1GAXqzMVmy6JQ1NbKFIjM0Q15aMnZvAS/MhQ1aAGG+6KWDduYaw8rvAM/DRYgbbcbfvBLr/GJT73CL/zNf875cMYnH77A2TazTCcu9we++T+/yWm/8Bf+o3+Hn/1v/hll0pVTsgE0OUmjjYEFIX/2x++TN4n/+u+/w34yw5+kMo5bas38/K9es0zKf/5XPsn/7W+9Q9HMMFgpebffm6HIG3PSS0GzV1DcqIlz1OPekwzkNLDdbkhDoopymiabTRCOMQuLcxdFK6kqGasW3Rwn3npyxdVhZpkVdGjSmpqs/2X0pnMcYfK+pY7MrpQFQC1oasGqrCxPNKraGmryoqMYdxJVQ+i0G9b4/KLFm0aTSawmV00gnL47ztW3iQaS7OXYCreDm8JmM7DdbpmnhcmdbbcdNJWfPvQl5irAdDixRKIsTqGrRmOKwSRglUnrKrJqm+3n1CgPpRRExWZ3VAWJeQl2jarap9v64Jyr6x3H08JpsnNZo4KGrAby1FZ1UPHKAL0npNZKqYUQGWgomHRFh0RisxlQrW3w2JpGIMkqnFVn7iOcD1suy8Qx1Iu8P2BzdsZpmljmpal9xL2rJwwpWeVmSK6JnxJzKSZPi7LfH0lHaxYX7+foCUrswX42EEjaKVwitfHSQrJ0kNCidkDFbZ96v86Q+h7owXHYQdtkxpPuDfVabSWalCyySoDMf8QANM957Duj1ywnryRZQDqOJuE8z13JC/dlQRuMhF9b8BBSq36WyKRs/T8pW2ASEzKlKqdSWBROk3gF3sUo1Gw86oS3VXWgDTHCm10TzLMHQiJWhRer+Jv+eIhBRH+BEPxcy73tbIeh9YI0irDUys3Oee4u7Wlqd9osT9uTQSPx3pqCoe6apIGDeHK12+8bSJJSYr+76YG+wGZrc1ZOp6klryK5T492z18/kjQ5jgQYcLaoBdTiDjehrYk2KJQt6Ne1VRNSHnxfS0v4Q5RCxIBK8XuzIUtROagNdG3Sw7jOee1AhQ3pLEhNrepulLza/kyOhCZMbSRL/dlbL4dPJo9G5dHYFstivWGmsmbJRvS8RROyrD5TEZf8piVkVt2z/iMQavKKg8SE+eKqPJVSlCfPLnn+7JKlFAo9ccKfdXDZEWt8rRb9hxXp95c8NvJZAgU75MVnRAQtxxI3F2Lwz6i1MpeFtfTsH/T62EH87nBjSHsWb2gyQxRDBQzFcV6PaIvdWglVjU+n0ZRWTYMY8ZHwdUaLZ4pavQw3ePOXZTobFv7sT/wE9+6c8y9/+ys8Pc1kGayTXRI2TdV52SlzdnbO9mzk+fNnrUwbQ0ZyGjzTpDmsOPw1DKpY+W3Imc1my/mdO7zwwku8/OILXO5uWOaJw/7A7rDneDyw3x2oDMi4MUpMLa3Mqmkgy8CYBXThZncgomohNaQ8QAWtSqlwcsdaq0moqZbWH4DGZnCuoScf8+KZdDVFFHF976rOVU42mRCtDCmzGTdUNd55ZNURDaVkDS03NzfMp4WY2rfu2Fc147gs5tyXWtCpomnwATmGEClYYJwCcnEUasUrnpZQJhFzkJRODbGzwfk48qlPvMLN4cCTyyv7/jwAJpVV68yQbXhXUqtPtCY+tWRCVkGfqTB4kOLGLAkMCYf8E6VO/Ik/9cf5lX/0a1ASL750n+977RU+88mH7A83vP7Gu5QP4I2vP+IHf+z7+NRrL/PWNx67U45wNYFkR0IMIRnGhT/7kw/4f/7sW+ynxJjhYrOBMzsDx3mmVvhHv3bJn/zjL/H5Tw58931PvvKAFucUJ1dLkOJJiNNZvPNeEMY8WKm0QkoDm805F/cvyNuB3X7P4WpPnWbqvLB4xWMphUEU5kISOA3we89PfPPybY6lMutASrOVY9WcewILLjw4Tc7XTqgpZDhKpa6h7l7ADLg3l0eS07Mg3+tYcGtVktyCbKu4mHO0t9t1NJTZI6gYN2780xTxlwXLijkuN/jSgoYehA5Z+Oyrr/DJT36Kb3z9dZ5Pp1bpa6FB7m2AWQO+cecTQTLq4JSdgTUVZi4TPckIB+LP0HsElmJZUW5TZp3q6IG0+jMwlYbEoomnxwlOC0UGkjeYJY8czE6AsUXUz4WikixZqrCI0dkUvILquzoCKsSb2tdgjiVNLbFx4GGpC0kKn7l/nx945TP86puvcz2f2FRrQJyWQuHEUouh3pFUafDUxe2P2b6aK4WZVDOD7TRHXr1asaL+rYMIITkaJk0+0BKfqBxVchoYUqbGPJSUyGNyDWzjz2p16kON6tAKefSVleSqK8V95CrAMHlEnPLn9twpq76T/Dlm8mCKM0mteq3ejBdStyknlrk0MQq/uwa0NGUkD+QVSB6o+y6CZInKh08u3Ufaz+qykCV6uZSC+QeSBY09GbR7q+377dksMdlUxPsOelVJvKHVAnaTrI3kSnJUS0LK14IfE2WoDKNJQy9LVHfcBvn5MhTUz57TdYqj0MX31mYYnV5WKSWoI8l6CMABqBAssN8pOkPB4wuzU8MwNn9ulcfeCzF7D1ewEFLqSjdLKZYAySqgbwi9rUxU0tfAQB6ysR69J87QdEP3hQwp6FSxt2ABsp/r5MGustgeSMlbF7zBtVUSVjr7kty2wDKbglibsk2Y7rDzbk/xwJqwr66i475KxZ7BslswJbZIfqXlbwEaJD+DjbonVklAhO3ZOXfv3mc3ndjvbkhltj4tSU5r8eNFVJbMeqkqc4FFMNGQWIOoEvmfY99pBD7g5xMHtfxs+99YTNsVnGzidvKhb2ZR1ZPPlJL1vjmA9nFeH19i0nlkxSX5rAnAGlysdI4rQag5sVVWGTw9SQNpGMlZ0MWbBFDqbGWrnATRjGg2dD8lqFDEERgRHn3wlCfPhaeXlxxKQnGEToVlDkklMzKHw4HTdGCZizfMmZSlbw9fBHOwQx5aFtUHItnBkJQZhg2bzYbz83Pu339AGjM3V5dcX15yeXNmk11TcmqOcAZs08ixFp6JMvleqAXTdh82rRkCTOpomiZcCcvLTIOhZIESaZTmPQ5SDw69nMQKxQmHYPrA0UkAgYyaio6VEE+nuVVNrJTnpc/IcBelilViTN7K1rXSF7n4BeU0NGQyZAOtiRZsuq9rPBNBRm5lXUPZDAWJA0AkQm5URGwA0fOrS5so64cv5OZSNNB6EpKzD0EptTV6Ou5BTLJVtaw/DdlRS1pChFgh7+z8jGEz8OTxJednF9x/cM4P/fBr/Jk/9Sd4+uQJN6f/iec3lf1eefs77/LFH3qN97/7IdM8oyo+gTRKlbRy6adeEqaiPHpuPx+GgS988XM8fPCQ17/9XQ4fXjonb+T1N2/40g/e4+0Pr9FqXGS1bNcoLKjzFZWkmSQbRAaKFlQKD194mQf37/Puu++iKGlI3H/4gBdfedkaL996j+unz5nKnrocIMOQYVRr8H547x6nWrg57jllV07Rwuhrp4H6JKc5pJD2dKMW+3i1DkmG1ihd3cGYwY5k0vjHwTHVlnTj6B5uA5xHrKZSIur0Dm9uizkHtZgj1zXCHvYNvMHN94UHEYYu5xY8no4TNzc3TMvSAr6yFGQIBD5uUEzHXtWDO6fwOaLjtb6GptkQFW3PIiqYrblYDFkti6O4rSRbVzJ30gOnoAj4TANyb/Cuy9L7IDxQ9PCt2YnA5iSBLgtoRQYfxBd0Af/MlE2rfxhGpmlmmWckde4xeaUKJOIgTeLJ9TVDfcQS9+pBltlKtyOsSvB+jzmH7KqbiWpDuEIVImZExPWbprgNBjSFpR7MBwXC3044r2a3PKBMq3VKCTajaV2D00mxNSLoeKlPo62elKaUSYMlYqXOnnBbYFqrIIMBYLX69Ep6MKkeIA5DNl+xQv/Ek5SqtF6rWCPHRDzZ7YMY4xkFiJKTSQh73oqgjUpgmt5B0TALGr/fFY3CdNq+NkpSarY4qANVA9aIdQg3YqhsCC5oMsQ35eRgoV179NX0QIqWdEUXY5LkYKM4FTK1pldJnYaJn/EhJ8bNhnn2qo106pHS7daaakq01ofz9PucT5P5uRqSjzFksasOhd0I/ndUEFrJ0tfW4u6FZbHqaM42WTyQ7khq7N+QG+Lf7zE54BfrjidYfV/ilOh4JnFPHVmO74mfC7a2GvxyaCj8Rymc8b1JeiWxAartWSpapD0bAhAJsC9FsBuVS/tS21+VZTYqj8rI/U++yn/yn/2nPHr0mF/5p/+E3ZMPWKaTF/iselnbR/eajGEt7sNqZ5x8tK+nU4Js74Y4CvQGa8QrJ3obNGgJbiSILo+tDi6vJ71+zBj+4wfxZa5taik1sqQIh3GWTTSkhMGm3SiRpYvzI6t3pJfZA3cLWq3BxUrrUhNJlOQZ8qEqv/Ot74JWZje81bMhSdIaexbnr03zTCpx7J2XnKyZwhKoHqiHGknVYo1TdWiobNvAJPI4cPf+XbYXW54/f8b5xQVn52eMZ1uTo0zW3HmnZv7Y/Vd4vHzIafeE46hudAbmYUAHoaoNOQnnUKhIGoxrJp1HbEFLJXiU4gag53q+weioYUg/DUPqAUJZr4etV6kWEESDE3q7rBd68CTjv7XEAfu3J6l+EWJ6/eE1MBUf40Svd2V4S1uTaAiKl/HH3fH0ZfIAQ5hK5enzS9vwOZO3Gx6+8AI319fsrq/dSTof1NHaGPet3ijVS8b2PdHghhtDUyS6sJHuOrPZnnkzsRjnf1N54aU7fPEHPsvFnTPu3L1rpWcZOF7veemTDxmHzLzM4AFEK3n6+qgKF5vEYSrMcySAIxd37/HyJz/Ft996h2Wam6F9dj3zwr2hGeIYplLMYxPDerQKMm4Zzx4wbO4yz0dOp2uu9xOlXhpXT2BeJspS2G7PuXP3jP3NzO5qj6TJUTnbm3WZ2Ywjn3j5JZ5cX3NzOLBUJW1GainMrgAlWGN23KNEgCjivbV+fUorb44tgSuUxRCZ4g21yVELrdocdtFq+5BovBb7sCSmVkIkrJWgkEWwTBhtP8uxJ0R6w7f1bxo1j7ZP+sTFosqj95/w4dPnztvsvSB4MByo77oMC2tqhfRT4M/JYTdfPx9Ah/NLPdCIs1GdplAjwcVRMOhUlVpX148njoEEDZ7E2lqUWk39JWUW9T4exOlN6koMwlYycwNz6LZGrUr4hS98kTt37vLVr3yF0zQ13nBPlBenbzjVC+HZsrB7/pTDmKFao6K6/UhilTRLjOrKPkQgZtSYCPLRGj3c5g8wu2d7LnpzOsjRJEPDfnpvVPQ3hJpMUCJawDHP5DHziZdf5niauLy6goQpsnjwLC0BM2Ma6K9tJ688SjQTtrzBQRv/7ho/jwCycjodmSa5Zb/sflIHFfGJlbXeFjIQH7rlvqLLlCazBcWe9TgEZaH3nASSm4fc/HqsfwQg8Ry1RsIO1n4kq3MAfTKwJVgx58N+364Tsb2QxILru/fvcPn8mc8igECizSbA8WS02jSEr8fX21D8O3fuMU8Tx+Peex76YCytBqLtD/vm88NkrBXkVtm5rVn1qaM+mS8nWwPzeV6pRqnV+4Tcl8dgJomG4mKSjOOYm95/UIMtsfGAMnl9J4ViFu1cRABdHdjYbDemfOaJSAsaa+9NE/f5quoN3TRfGwMzW8AKfhb9u/xxRCzQUhgP3Ak7F8CN9gQogIRAoUMABafyAk0goPlofwDBvc+uTBRUTUNlhKqJF176FH/pr/9HvPndN/nyb/42uw+f2CwHXYip9W0Pt/MTviL6Qyo2vGn9Pnxvreg12inijWUSQUtsG/RWo3+XnhWiTrfZbDz5DhlMbfvkD3v9ESa2+oZvxtSnbWlyw2fyOmbUa7vYpiYhJkMVqhjqneJJEuNgJX6rEFvmbgGpstmM4FQNlZFjKIiIb6A4YChnZ1vLSo/uqNUMq12/MI6bFX+qG5plWTidjgw+WEQ1O8pZXQO+MC+Fudg/eRg5v3PB3XsP2J5fsN2eM44b8mjDjPIwcMoL39o95UpPHLMH10m5e/8lfuRP/jRvfedbfOvrX7XECPVR6tUdaPCpquvTbzidTizqqgy1BxlWljPFkaQdFRFvVItGTaE3S1RHAQ3ds0xW45kTh65nkSIRBNl1ilccwCsCmKxUEnF01qkQsTK12rCqVBvlqdbbBzr+HI41eNyN5OTVlqLgMJ6XUK1Jer/fU7yUmvze1OTZm+qDtOdye+KsOXQh8n87SH04SQH2h5MN/xpHa17e73jjjbf4t7/+W1xd7rm53lHmAjrz4isPef7BJUlc/WWaWpIV6UsSQ9KfXcPFdiDLwrwk9scjX/v6N3n7nUc8ff7ciuXVaAGf/sSGb79z7dxLdaUGa/KiLjZ8JQk1DXBxwR/70z/DX/nr/xn/6pf+Kf/6H/9DDocDh90VglGajvsDTz54Sk4bzi7uspycTuXc2jIXVJTRecZvv/sup2Jn2vjUzhd2k5BWSXusY9BHjDmy0lymr0stdtZWkYw7D9+z1Nv6uW1vRdmeqDr7mjpNPDZgj/9IOZNG6xNpNPaM9WBU22eB9AJM89wCpFCPEgFdMApRhepUPAnHFImCG+pIdiOhiYARpKlHiFNrIsjsSiXS1Q6gneVIDMQffEsaxDjd62ShIVvxjNZIkPbgAzzYjHPv91BJbIG7mzOu5gMnp0l122vXNU0nFKFoaDBHuTq1xbHnZfcKwpRHDtXpUdX6fvp0TWv8jiF74UsgAj8aMpezcDZuuLi44OrqxioB2aRhakPbKjUoVH4Glf730uxBTzoaeppXvTJi9KPDfs+8hHa22ST1SDoPGbzyGIGbYhVLXYIPm92H2a9HH4405DH2gPc3YGPnw4fdWl/nLFdftzViiN9bzpmUTT0mTDpafeCN+PlUtFRSNq6561sBNP85zVNLsNsZV6ObCNbXbVN7QV3dIwC/nC0wyv6sKisJUlY+IGU+9elPc5pmnj59xs31za1gP5I2qwINzY7jLc3hI1WNzvLCCy9wfX3F4bizc5MiyepB9bI4Dzl1wKXU6mivxT6RsIt6T9hi0qBD6nGQG1Cv0vT4I+xVithFI5j0ZIFekc7ZlFhi/6WwQaUy5LElMX35U/Pvi++DNeIb+4jV/la1s2WKS8bp78BLalXzALdiHykOrnhwGolOV0kKxoYnelna/opEfhgGSi1sBpN/naeJKrfnCbSqXQ2VvIGUTLobVpxyYMy50eE+ePSY/9d/9V/z9MMPefTueyy1Qs4UDOCV5uPNFqpXi+K5lFr8nCtB32l2e3VvNoTO1MOyB+/Fh+zhyXqoRFWPR5tKlQRFyZ9pcQrZ6p47OvoHv/5IOvHrP9uamLO7uLjg6vKGGBYSb20b0G+mltkMVIynrYJIdie1UIrJHUm2RgYBii427U77KHZxHqgFI5GRV1cpWW/SVbkc4fz8gjt3zrm5ueFwOvp9dEPUyjrqAbyr6JRi/MJlmjgcjlztdzwc7pPHkTxuyHlDTiOaB3IeyfXEPgnP6pElFZZhJC8mX3bnhRf403/6Z0il8J2vf806l8Wno3kmXKtp5aNWmtNSTaLQHX68J7rPU7SfSZQq8W50ac+nOg8h1k58lHCfYtqzeQsSsh8caQc0p0xRL7c6p8uerBs1P5xxUDfjyGbc+BANox6cnW8pi3I8ntqeinIj0NbNDFlaBfIWsiSSN9x1JzfPM/PlJdE0XspHlRZuZ7QKqyDJ9ue9exdcXNzh2fPn7HZHl7KzQERF2F3f8Ozpcz71uRd4/OaHXF0eeP2b73L1/EgtlUfvP+NwOKB54bM/+Cq/+nO/xhe++EV2+z3fffNNSlEvmUb5s6K18MFlZZoKX/xU4mvvWBPb1fWO/fFEHjac3b2A/Ym75zM/9Ll7/MN/+YiSkpXafbgYjpyKc8aN0J85e3CfT3z+Ne7cv29c+IYSFrTAMs3sLq95vMSZg7LMoKWVVVUtSZhqZT6e6BzFimqyoVHZKgvLspiTTt5IjHpjWkxq7GXVhho5/1dwFMKrJoih8/McjtObmpLcCnDCBixueGPNs6PhZljN+Zsq1MCdi7scjyem2RuNIsiX4G+ykouzwzSMo+8tk4K0OQArKT97WBGp+7Xdtpmgvu8iKfC9SJxrP7t+3qLxzZxYD2DtPZZsIYaSx7n/qMpIQ8fUucS6DoI8+fFeJY3rc9Ukx1GoWnhw7z7f/9nP8ZU3v8VyODnYktr3qipvvf22J0buvKNJ3B2aPU9P3LwJdKlQh0yukEw6yZKiZEEpvs/i3mKdwtnHPdZSmZldr9smQdszri5pm70S4chxVCVycgWJVeXC/x0I/NqJx/0WhKubnSdhyc+0occ5DaRBjNbj1aFIbkWFdfky6FJxH+vEBKeKogFq9euLgM0QwNLobLenV9q/cyQ+Yd/FgrSUMfRd6615Dub/4gKlnStbbxdfSs5r/0jSbpQ6PFiyADHlDNX2Vk4DQr0V6EXQ2mcMGA3pzsVdkAO1KqfTTNDHwL5fXOUjZrUIwssvfYIHD+7zxhtvMM+Tn+WZR4/eZl4WY+hG3uRnkgAGRLrda3/fE7sUPtMDfPOfDkpKUKqsUtsqZvZFLUEMCqlVoIv5Sy0defbvXealQxV+VkNLPKoiBgx4UtHsRBw4o0llEZfytoGHsWaRwIcvNGAhkTSqV2K9MP2iun3yqlL9qJ+V/sza/iQqEL7PXZltGAakBA0PSiTUccZZf/XKluG2T03lbLPZskwzs04kBkRnLt9/j1/9xV/kNJ84HQ9+Wg2gqRmETKpGLUsuoRoykU3QIuUGgN6OJW7HwjkllhoqUgPTdGrvaX049Ji4/V7OLWlcJwY51MekD9H8w14fn05TSivXx4KkNDAOW7abc8Z8YvJBIUhkwp1PZRc+sBkzKnc4v3ef3c2B+bRnVu/2FpfySq6IAJzKycb+ehCpxQx9Ulf76taQ6XREUtfXXKMRVW2yXK1bQmYuFCwCdcMzNMuQbUPNy8xSZub5wOmw5+r6iifPngOZpZhu8IgwAoP4CG8ZSDUjNZOrUkRADPF4/9Ej/vZ//ze5fvYBm5Qoixm3mARbEOvS9kl7gyR0XpBs/NokMYTJg0I38IHCaWwAP9AN8aYH+Ch2oIig7iOIgUSwlSli6FESo93UYvJksjIG4azv37/PtExcXV8RVZazszNOx5Oh5Cl5A1DfGy3BWx2WyLCJhkgvO0dXd8rZG39LuzdfcDeyfuhT7JvE3BIOL2lFRUMSeRh46aVX+Myrr/J7X/kKh/0JY3QIKqklIP/6l36L/+hv/Pv8o7/9K1w/P/Hm/JRnT48gcHW94zCf+Kk//yN8+N5Tnj6+In/inOPp5IF7tQBHVgGJCEvN/NyvvMt/8dc+z//1v3udp7vMXAqSE/fu3GM827B//gH/u7/wCr/9zWc8ehZJl9Cb/CIRUqgVZYHjid/7tV/n8v3nvP/mG5ZAh1NRwDW2p9PRAg3XWE4J6mJGbzOMKKGOYchX1sX2c7JzWGpvJIvyuCFYCyHVJ85DxkB5/1X1xNk+R8R5t3jjUVNbCehWm5MwAEVXzm3pPNxARX3fqwcspnUtPHxwn+/7vu/nO995g6dPnzuJsQdRPR5XRDIp216MIWaBotdSW1AU1K9A6wJcjetc2yLrp7I9nFz9pQUmYrKG5+cX1Fo4Hk+GTK8cSK/oeNDuzXBr5QbogSfB6U1GTWmVLolg2kugqSOM4ImF/3kQU9p46+13OBwmS5jsabXgvGLBojgaFV6rRpDn170upQ9O5xO1HRSDfIsqeUjgiacvc/vdDkas9p3atMyb/YEY8IPEPjAktdMi7P/Uz4064p69ObwJCeSuptI5vAopW8PvMJCTzTmpwSHOmYcvvEgphd31U+s/crAkAInqFMXNxkbJz7NXk1Bv5rTEt+iC4b2pVZqM+22BNvE7klqPVBjDj6qA2H3HfAxLRtWrEjGYza2KBTA5MU2LxYOybsTzFNRRTOiAiG+otv8HD0jKYmju7BLCoSYTiYoh9eaHoudu0ok33nzDwA+vRJJo/sJeYvMUGtg0cPfOQ+7dvU/O73pQWJxTvhAiEAY++tj7aklM9ED1QVs9hvE43IQiVr0UkSCVlaQj/p1EoO+JV+xfcf8dwGAoLX2PD/SzmJtCjAM1BH3JbLBGMu7XKOI4tdqsm4u7d3jt1c+w2+1455137J6yN/o7DaqW2q43qGzNEDZ/zK39FKCM5NTsTgSi2+0WwWY6ID6MLaVmW6xqZ9VpjX6d2iv/axu1/s5GNRFs/4t4fGb7lCwIBS17jpd7a45PBVIl15D7zL4WDtKg1rtTOz3L9lgE97eR+PX1tX2oSl1mhs2G8/MzazpfUSqj6mMx0UrePBaMPmjNknHa/X+c1x+BToNjn6mVDqpWTseJeXruwwfciVVpJVALlI0qkvLAePaQ1774Jb7vh3+A17/+Bt95/assxxnmwoAhxzEwqk05zS7rZUtkAa4/4FJMb7w9FDcwaypGbIDT6cjlZW0bTnJq5Yt+n4H0WcBYlsI8nZiPNxx3z7i5PufJkw9ICvvdnjpNDHVmowvZNZ3tYWUyA8XLPhVzuPP1NY+XNxilQp25ONtytt1yfbOj1MJSFsbNhoowJOHe2QXXNzc9806JnAdEy6rxy/WBHcloBiSQGkyLPYLuYRzIKTNPcwsIqj+zcAJ2WMSl5fwwOSITiOsw9GZgxRyvztbgpWrl5jIvrQsb1NDq1mLakcN1Bp59wI1Wo42koaMNAR/2JfP1bvyxhGSj91zcu8trr73G22++xdXlpfdPeGARPEEf5PDkyRNOp4njaXJ5rtqoHMEZefTWB/yrX/oN/urf+Hf5zV/9Gu998z1udidkTJzdHfmz/8GfYthkfuFv/hLLLLzzzru+h/3SBHDqBSlKzIkvf2fm1d9+yv/pv/x+/sE/e8xX3zwwz4X59JRXX7jDX/rzL3PYTfzsL39o19LQsupT4xRN2dq2nUdcD3sOj97hO0+ecTruED3Zc6M25RdTRSpM9UjKQkZsMIX6xYoY/SHoW9mk2AbB6DwRUPoNjhsfCFe1NTeHU2h5maPOYaiKo/DBwTT5N/8dlHEYEE3M00ygo8GoS2La6sUnXRqqE43rro4DbpDtl0otXF9fc9gfLJiCldKEI4zRbOfBjUbAEtfoYvqtUTMlJHUKH6u9HOpEHvU4B7YakUK6rQFWvOlKKQubzUgp1YeddAcfSH0oVtSgr60Qv8Z5ZUUnWyUC34MuJUOjVA08EUkxy8iSlpR4cnPFqSzWdOqRQ17ZDHPsEQyN1FqMQhkJh/rgHnz2RB7QpbLE39uitnuUnMHlFeO82vts36/lSoOPLk4NMn6q2YPOH14FtX7vUXFJObUJ1aoZPEhuknK3XsmGEy6FszObro3PqqhVsKF+s9nJwTm71U6cXUj1n6V2v24SiK3S+nMcDbUYO7JDp6l6MNyaC4OH7fSioJ44s8WSIG9cJVUqTdm+caVjTy/VAqNhGL0h1T2FBp3Lrqol06ugF5TkVNu4v/a+6lXlNcVDZEWT8ERVhel0QkPKMLJiItiC6Hkpvv8TytvvvMm7jxLLMllDrDjdp8mpphZErWkQETOklFwlZh24ekXbLyF5thnA2Wa7pWL9YOLnLahGRUM9zpe2+oRYbzqOCoIhr7XZk8YK8AWUZEOYwpZGg3EtxfdVUNcwuVWnJ6paldUIKXa+SnXKFV6xR1rgT1ApdU1vXA1XiphCA1xbBdn+/7P7+1YVdRMRmvBrfx8TqKNxXOX3kaH0WBDxKdurZtrZxQUkZ2vkpVLrhGgiJ/PvpVYy0oYkqu+H1oi74p6n5GAx0v57fR2Blltibgc7O6gTcVFMtu/7NK5XDcTT2mSG47M2G7Mj+8OexSlMKX2P4fl9Xx9/YmvCD7k2Y5+wAKgszhP1w650/qIhYPYgttsLPvX5L/LX/7P/Lf/On/kJ/s7f/ic8evyM3XxNOSycb4Q0ZG6mCS2CaIZkfLdlViTbMQruVUce+s2WElJxJrvk0Wx7kHZYHK2t7pSb5rFrIBcrjQzZEO8kcHeETZnYP3/K+8OGeTdZhr+74f6YmM9GPqiLKYMAmtXqjgOkYnro1ihW0OmGIhakG6fdS+sK45C5d++C3c0NZyTunZ9x3O04Lgs1W+BiVIHig5pqU7qwTM+eg3GvEjmPzMUaaxQYx5GXXnyRcRh5/Ogxk1MNkjes5WTKQOZD/JnROYJN2su35br59/0P3icqATE8KcqE1Z2qOMoUBnNdstaVwbPEIAwH1LpYmToPFnz54RRg3Iwg0sY6g5DHgU9/5lX+vT//5/jFX/hFbna71kCE1mZ8wkBcXd1wfbN3lND27DxPLXkt1ab3feXXv83l+9f8zF/8Kf7kv/fHKUv1IVmV3/3Nr/GN3/wO88mCmYINbFmcX5dyNMpAk8erC7NUfvF/uuTNd3b89T/3Sf43/+EZp1kZB+VwhH/8a4/4ja8dmJaBpIZ8n23POO5OFPEpuqpUPxeCIsuETgvLvEOSUsU1w31Bla4+0hIbm6tBHrKprZTiTZbuvsSgegsyzXgNKVHmxYbJiFVtxDxCdwI44uEGTJ1vqXGtzss0w67uVMzQbzbnzj0tbb0juA5Hagl7oIkezK6SzwggNpsN87zw+uvftKl5xRzokGwq836aDCRI4mVqml2Ipn08QYjkoDmkdQOcdMds6Ht3SNmHRCWxvpegtwUKI8BxOqK12hRYjWTWDJ5ROvCkoTdIqV9ns4ZukOOcRhJjQb4jfCImf+vktF6pi0RLLGBXYTfPFKA2o6otMBZ60xzYjIB79x9yPB7Z7XaoLm1tq6OeWpVFsO9WRXNTXgRJxmmvGFoo6gpGtOcVe9Dsg613WYo3uWJIpQeoopasBj2JnnfE7dqeq532Fe+I6dfrfeRi6N6EmHjxxQfsdjtudju0VJ4/+cD3nuvke6XBOK/2jIdsSdMyx46XtkYmM9cMhdOAaJ/Z6Y0u3qqFpVrgi0Tw3nnzlltaJRP6UJ5W2ei7xuyxCGkYPKHt1KWU7HNUVzBMBJsaIJ9da3LJ3gj22hMVV33RAJtctlBpswBirdUrVlnj2iOQipjVm3RTgHGFpZygKDkPPgxLEP+zxSx2vcs8g5oamPlfAwJQbYBAIMtBHVRPoho1rPk+D/DF/VvVFoekwehV8ZxjCnitSwvgmt1I0j47pIEtkSsuBND9ojV0qkvDuq3xZxz+vJTCzfUN3/nOd1hKYV4sXbaRcLbr7l3cIafMbr9nKiZnXKKjWt323ap++OWJVwWUBtJFMmfgpysJJWlUTRGrfN1qWhUPlEtt/SbxWY1OItZf0PqsasiUOpOgXY8H+ZYxg5gnCephFRyAMV58Wj3vsJRdUKBXXNr9rvyJIfK2L4M21Xr/JDl9NmyNGbZarceyiiXawzC43VpMFanaFSi1AUof5/VH4MRjlI52iFa8IY3iapT6HY1rjs3lqXJm2Nxl3N7n4uweOfmQJxVSOiOLZUxSxG8FInuOB7jUSqqOvBGqMlbGr74RjOduOyS6mEs1A2qyU472RhZg0A2lKMNmhGQOtniWN2Th8595hU+/8jLfff8pz55+yOn6wDAmpt0NurvmdNyjLFQKJBtA0/ILEX82lezOd6lwcX7G8XBgf7xxeoEZx8P+QK2FwzLz5PlTN1TSDHnfVLQybOOMNeCoO6LsVJ07dy8QSez3B5IcfRhMJNtmaFtJpwW54Si1OfaQ6OqUqTiAimRvbKZn0w2trdK+zz7btMc1Rsknn0HgJcS4Jvy5iEFj9p2W2sdP23cl/71SCt998w1+/ud/nicffAjAdhhRrWbgC12qLxlSoWVxB17bIYVVoOIBw3vffZ+f/X//j2wvNmwuNhRVjrsZcdlHoyLYQVSMe9oNvraqFTj2pImqwu++ufCV/+Yt7myV8zObeLvbK0W2bRBTzjAOI5thw5QXiizeU2IcY9P9VhjsRNpUPH/G4mdVaH82P1FbIFE1QfUGHVXGZIONpmX2tbcye6kmuwhWrRnGkbk6qhloEtLoLEAL5Ew/2p5BexKOSCXB9XFtPff7A9lVNdbUuAhkakzopT/jWnpDVwQqpSyUKrAkZpe0Td5HMg4DZ9sz9vNkEwzVjHlx+kDsiThzxYdYhZRtXK4lKiujGWdmFcSbvQn+c1QxoqphDroW+95pntYAm6E4IWuHx0+pO8iO4MVXeU1CzfHZdjYEcqF49UOt3XPVMGhKGkYDNOqaURdnD3YNXcu2j40g7VGVJRt3797li1/4Io8eP2a/37vyGG1NifsUQIxWVDIUCrJgAVvF+Pse2K6eguMx9vNSXEIvJU+Se/UxEq3qzQfRM4PfY2g5x95iNZlXxAZWbc62JirgdMD4fgu+7PLu37uL1oXpdHSAaMF4/M5lX61F8me1PduazzzONthLV7x395/VfVlKUeXoCazg/g5vFm8ytrRkoFVb2j1GECrNvtqOEEsaImDP2fdhbdrs9qzVmzWho+6xPK7dHveg2lDiOJ+hytN+V/uaLr7nQ6I47HzM9YizHPKT4tloFqdzKNisBwu8i1aGzZYvfN/3U0rh7TfepJZCLYvZGOamDmMMWlOBqmoV+nh+MQzRPruCijf1xx5wICooF77nHNFkM46kJJymyfdjrwDEeRP3F1Y5SF69tQZVf1cD0VoCHVSfsHOEDaL5l6De7Hd736vS3gdG/To/vwDgcDwixSt59ErQ0uZ9NKfdA/Ya3HrfI7qiwhBVRhqgk1JiszEq7ul0susVGggZe6l4Pw54pVai8ij0IWkW/6WcmmpcTkbRU00NoFLn3ddkFT8xB2P9UTmbYALarj+aWkNwAGiMg0hmW9NuEqrU5oPE5zo4b9ZizIQH+r1hF7ersnpWqvZM4pyEZPDHeX38IL7al5caetSJNJiBrBE4JMULIyYj5gZGMH7X6XDkrW++wf/wN/8ev/krv8Gbb32b6fpttB6oUtgfayupVKkgtQcExZxuFkGzlQIHzWxkpPjOlGpNcOqONYUh0trK1kV9OId21MbkyJwWIgJDtiaQlMy531wzz3se3h0Zn1Tev7xkSgtnZyP7w5HrZzuubg4cPImwciAgiVqFpYKq8/68OafUys3u2DZg4+GVhakuRANLdQnICIYSbhDMVpIFK0eLcSytYSZ4ylYurqIMQ+bOnQtOpxNXV1csi5c7JYIoT8Rqdedh655jRnWyUnjO4hz53KLxqhgSC1B6OVCdC4ZacJ8jKPZSsKrLCVbxwMiuwfZA7g1INRp9CzUp53fvcnH/BW52e6b93jiIdWH0hA7MiB9vdrxzY0FgUmXcmO7+/fv3uL7ecSgHShVEE4qV/Y0GVpscqu9+N5TqpTPbX4f9zHTqCKb5RKVSDBnXMOiYwSqBTNn7ELqSh2QbErIUrg+F3ZxYysa4jVlcAswUVZZ54bBcN1UIVee1sqxQAvveGuiGhoMPRLkHIcW59IEmiwwW5NfCsN1ycecO8+WVTffD+JgiGSRbEC5mSMviiEQSNKWGqEPn6Ko/n2jYs63rSa7TWiz9sL0mTi2pCMkTfttSViCW5Ig4qyBe1Kv1Rl1R51qf5gWmAAVsZSvKaVko+x1KMX4kiVQMga5aGTxxXXSyxq+WiK7QGsU/NyFSCGGK4o4upN5yGloiYkM/jC6QJRoL+3VpjWfSG/e6OgvWRC8x6r76/lw3PDr3PGVDEsW1iEW8QbE6jWSDSAdnqqNAqQpS4h4EKZ7YiiuLmdVES7E9lMQqjzlxcBTeAi5DBquummeTSd6WuZLHgTtnF5ymiakeCdqFDQ+skBQhM45bUOF4OpJS7F93YVrb86m1kjGqTk2YnSPOiMv0ptQSyJRGO5xitI6g+M1LRY820TKRew8HEchkjqeZt995z5+57XgRb3J0FEe8ir2oo8wkdqfZqRypgSlI0K/UaNo4hcWvUz2Qa4mI9oSugTxoe696QBs5j6QUjBUf4mN9OpINmw2+dkrerOfzG8QTfbsavkcX/vfrb1qoruDiSaTbQzBfkcVsU5aQijYOvQimJsIqiKmWaJrakBCTQ8dxcCDGUPZaLQmIzx7HDT/+kz+FqvLovUecdjfWF6TiyV2hlMVURpIYpFDVz3m2JDIlyIVFC4OTT+biMwlSNpENVZJTVBBDZ/PoSjHzbHtTK5txZBwyp8k1f9o5LP38OX2zybNGYq5OU3fbk8V7DqIhU42TrzF0yqI0b1q1BHuIXoQVmny1v6FWZdFCTUaflBprofasPRA1G+a9IpJ8YKQtUeslaOtm92PAV2nxyjSdUO1iFrGf/W5Bok/B7EhMigaT6oyX7bfBRQG8N06xKd0+mTYlMaqZV4bVwYqcEudnW3IeuNrtViCLXU3YQXEar0mERm9MJXrzkOy0KXGMwWIdddC1tgQF1GM/WlXDRRUQA0ISJkwhoNg6tgP2h7w+dhAfWad4uSJ4kTWyabXArhZtBxpqG+MskpAqnG6e8cbrv86jN77M4XRgmp6DHmFYbEoWZ57dmgpESkJdFoTRNGoV4wAroNUG2WhM7nI+tlQPWtSa9HJHA2KDReBavZHGmvqE+TgDiY2XYAqF65sDv/V7r/PkyQ1HEvslcZQTOWdO88L+eORIYtKBolYWaWV2z/SzeAPMUk0Cyo28qitLeCCWvPFiiRpqc5q2IYq4HGQgS56l4sobDemNg+rGu2jl6dOnprKzWBDV0B+0BYSxiaPZNefUgoEXX3zA/XsPePz4CdPk2rdOTRo2G4acOB2PqAcIxu/rvD+F9h3RiGUBaByQaM5bIbWRpZsUB2nY8unPfR//7l/4D/jud77Lb/1P/4rry+fNmAzDwGk6GVUBR5aSrffxsDft9slUC6x6FWixNwzVQhosyIsmOjxTjrNaJX5ZIVAIsRw2ktfqyM56PRrNKIwLHmxWjPJSfRhWVYagiahxokP1JMq+5sh6pcLQLRiGXgZGLdSqPo7eXrcpJsFTzE5TWp93xBLGWm0MdJyflBKrDWiJvWsSj6MPNlElZUuaAsVcc7BDQznktqxCVsnSZfdeeeUVzseRd959l6kYj1HoyYDldZU8jGzGkdPpaIiz88oj4AoD250FHgzY+i1J0KWwkcrDYeCoytGDYsV6dIainKdMHVOr5oXudkM8U6iDWMKckvD88qonVmL7St1JdbqDuzB3AsE3DzqDqXdEI543d6mQNHmS5CX/mkhjv6YI+Jcoow8d/QukCDHpQBGlLEd7TsG5QpsTEkeSbTy9nw23/ZvNlqUsxk+tlevrK47HiePhZL7CqS9GJaht3dSbThOJTd4gIyzHiVZtW0oPaHOrxbmNKCukygNrQorR7I0XB1uUsA4uiLNo+bPbJkVdFtKCHWGevJkzGWd+np3jH6BHMZURqyKZ5KiIBSCmKMatV6x5Uav0Vm8aTx7AROW6VwNTQwabHvZqz6xu38AMaKBCs6ur/ohmA6rx0sWjwnhMAk496Q8uRB5wn9Ars8WTzNwqsqV4I7X2Z2qNfXjyZNde1HyhihqfuVYM0LarCLpPDHxDExrUS09vqOHHI1jyHgE/t4fDkV/95V+mqnI6HVnKjGihOI0W8QTGrz2ksZOOSBlIkpioyGLSvQymBjaGr9CIL5XgDcRyW+UrrZBm2kyN8M1lMbAu5tSYnbdnHn0sOWevfBvwJw4mWXPosXGnZwdQaKyFoL4KbfCZehLv8ViplcPx2BkU1fycxVhLAzhbb00yIHK9j+MVQfw8z70i4WBLDOJ78OAFjscjNzf7FktanOT7Xrx/weefWEKEgSvSOebqcU/jyvu5tutIxHDApjy4qv50qU98EGO/H+s1ikC8+jnsCXGsrvnLPkshko/1ebTrtTgvmtVxt2l+1vtRaiUnOD8bORwPfr/a1vHjvD6+Ok1kx/jBEtenljBetTV0VC+f1Fq99GQXc5pPZJlI9YbpqMxloGhG80DKIevYO+LtAYoFI1kQqUgupFwYNxvKqVCmYozOFSfVJo1rJLvI6gnbNUn/mdg9GdpiaJNOhZqhDJlFlf1UeOeDA1eHD9icnzGMA5t8QDA+3VwrabiAXCh6dKqJHRpByWI0oOClh6Rcrdp4sUTQGKUxdwrjuLGSTymup63uoKpVJVabcJqmFsBFiS5svSQv13gA0CbwSSRZ5qCj7BolzFqVs+0WkYWXX36Bz3728+x2Bz784JlX0J3DRsZ4mIA3KjbKTQTwXiI2H2pBTdBf+gqpNzv2IFMVTN95YHt+nx/6kR/lv/g//Jf85q/9Fu9859vsrq9aNaOU2hp+rS8inrX1JWiBp5dXjJsNacim8+uBX8bLqO6IzFmGwfZ1ykY5scAm3QoUtVb7DugNXQQ1SbuxcTWRSBxEPGioBfHx6tO8kBq6Fhs1kjdvBHPUIhKuYch84hOvcHl5ydXlNTmP3MI55DavL85LNKOFpGfR6hUgQ+GmuSK39po5IqPS1VufHeialspcZl9Rp4p5jwzBZfXvj2QppcGeG+o6+F1ZJasYOhjBDgncqS1zcK7dVrmzz9l0hUOJKDxAe2axBhaV8vJ25H/1g3+cr733Dt94/pQ5G7pXhuQlWLdJ/vvGFaWhj6UsVInmOOuhCK5/zkbho6oDD23b0Gk63tAkXplQYRxHG6CmIYPW37+U2SkMtnam451/X2kye9SxF/zM+rov87KyLT3RWStmRK9ICwD9fQtWnVK1yixims/z5FQK1rMBLMFpn622N0ot3FxdWVIHoJZglKzu0MUoJ9PsAbIfpRLOzqtkWVrFA7FhVeaiPODWzgcPSFoiIcZlKdWa4xSjBIYdHIbsFZXe7tGSM3oAog4QqQ8ss4DX/VCcP1YgDx4bBzjmn5uTcO/BPVLKPH323APG24FTXL99gT8raOc03iuRQPt1qirDOHL//gP2+4M190pvuo4hYmsVDTs+rrDV9pPzgVXIHjQWtO0Pow7Z2ufkFXa174iAKRIiezap7e2wC3Yv/jkeNast5mpKeHZwA8AaZzUlpM48evttQBmykJK2abYt4MWrJgomi5cZavZ7OFFkYKgbVCZ08CbJsINg9l4jWJVVYl/RlAndeXE1maUsjWNu6mpui1QbgBEUyIhR0pDbHAnxuQdrOlMp6uwdT6zCV0hHj4njL0LQUGPPNlEMwfsXbE+FMIGubOtHVXR6IN773NKq982AJAFNfcKyr3vszxaUowZoSW9uNRaF31soQKVVcL363jhj62tcn4UcCVupHI8np4Hbs87JKmJp8OFopdNpYmrxWsVv7bviOURyy+r6W/O5U2wa1a0Ua7wVOBsHfuSHf5C333mLRx9+SBYbcDakDR/n9fGReIk9IAxiTS/DxoYOnE6TWTapiDfYmP5m8Klsz4yOxNQ6m2GtlVo3jq4NoDNgerBWVhRCi96aWCbu3d3wmdc+zWuvvcqjt9/jnbfe52ZfmCZX3RA/9GhjQ6wD3aaH22t71iypmHSeKlIXiihTTRSy8YNPIDKRppntJpvMYtq4tJmV2g0BNi50lGpFCykpxICPVVDmOVB3qG7ASwvMzMDcGpzQf/tWMKYY4laxe7RGLdoGirULnjIN4XbqjAghLxl0GnEDm5x+9N57j7m+NpnNKPHZZwjzNFsJ1RFmRFb621hDiSQvLZf2LD4aVAZPNQxtIPkBDJVSeO/dx/yTf/xLfOsb3+Dy+dOGvgWVyK+8JzES9In+XfM8+SH2cj9heBwXS7hB1u4/RABv+GoauYHKBb/cjKyYZVjdZyx97AHbg1oKuantWIJg6jiQvGxnTr2jCn0HeAmYMK7K9fW1S1z1aZMN4fVn3DjA9EAkghFxzqsVd+wcmoxhBARuSKUb0nUykMVUAbIYOmTKxv6/tv17Eh3UMxtEE3rbFrx/8METxjGDpOYsZaWKY4muN4avngu+XtXVA4LvaEh+D6IM0S9AImXhVGbeePQuzw7XzFooyelC6kHgXNHZKB7ieyonkyiNwUB+WewPx4aAdc16pzhQuyOLZDUSDcxpj4PJD9p07NhHiY1XOuZ5XvGTS6MDBiXCmgctOAlN6JBUtaAu7KApcNVa/POqn1U7Pzmn1nAY+08dfQ0HOFdTrEk5dTqh1AhnEU82Kfh5i3+sdi/ifQxtj5hDDchDSd5gq2Q/15GMQFTr/HNq0AvCRsaesOtoSVf7bdssSYQxG40kR7LRkr5CqYEWO5LqtjiaNlfZttvQPt+g/7jbn/jvQKY1KgvN9lfnb/seD6xA6yqwjnOszaxEwL7+nhQUOg8Mo6luu7VGb5PoCzvmpf1b6Zydz1Ii6PRgxO0mfn3Cyo7jtEj1v4vn4886exKtfh5706JXSqAFbdlpNjGzRSIY0n59SXqVczHSHwPYALbYLSa7hEQPQvJnXSObNp8rOnM/T2z0yHMuOKWNJdBVGBCrbObkhQmzMfEKe233pu3cz9VPu/vk3k6g1LI4JdVBsFbRk9YELFpBXaBC0ur7/BJ88FxUIWNL9gDe6xOSfc/1QD9Jq2sibr9B0MXWrfiZD/S5D42s7RRGlSulfu8RB2gV5lm5vLy55fPXa936pVrvn1PFPD8NSbJ1smD3FYF7368flTb/aKKxBqT8ywMrQKRycX7ONM2cptDNigRCPYb8yO+37wrv5km8RhVK4ogCEYvZWU/ZzuPj9x5x2B8a4Pnw/n2jD36M1x9t2JP0oAS1YTE4Cn9+dkauxXiEVREsOEmjNbidTjOaizUPijd+yETOdtxEB842iQf3R/aHwuG4eINDamXgvIHPf+FV/sbf+I/5qZ/8MX77136Tn/v7/yO/+9XvtoMbxl5j2MQa5fUMvtLLK1kVqqGni2D6vzKwCMAMRRgm0AFmMlkTwmzdx6KMCS60Mk8zZakN1anFmkJKWdqhDUQD7YiXORZLOkKOSsOZueEK534r+/XNE/xS4Ba6qbI2jDSUwD1B+6wuTUkL6LM7hkD0DocDqpXjoXD5fO+8OGvYiRHoZgZqC8B74mCZvaFcFrjkZBKOuspqWxF0hfaJB9gIrjNdmU97vvZ7v8s777zNcX/D/uo5QnXj3p9z5HI2ZY9WKfIHBxVHQ2I/Qrh1VUVqQgbnuoCj1Jmz8wtefPFFTqcTz589Z5km+yIPVyM5Q6QZqAjSIvjIKZPTQJknhpS42GQePnjA4TTz7HLnZyxT6tyTPDc8H5W8WiMPWTK7m0Nr/ooZAZEAxiultCoH1va8AnGR1ArWjfZgAbq08xVJZCl9zkLsy1BrQcR4mLG+tTsX45/aUuTBeOJlCTqAoaVFlXKaCR1sa7ZyJNhvp3qPjgWr4k4s0LyeoODJGYIHq44UyYDltIUnS+H5k0ecBIpkiicXuXR+bwQeiNEOqF4e9QBRfYstjviNTg+zdbBqnP96C5HCwZi8mSM4fm9lsY0cE0pLiqpjBHTSzs9SK+oBWdFV9cjPfA51odqrFcGcyZLYbjaUMlOwpC2qh3QAiqDixEKm0PbXQOo9AKyhHCKN9mBxUrdfVU0KESLYEs6256SUOBx3trZamiqQOcVE0QjaxedORNRHQ49vB5z0a44N6LauB3GV6rSj5EIMptFvFEVTYDN7pF5p7B+XGDcjVZXj8WCVo6HL0AVamCWhaa0Ig/PPF8AbQwV7dp6QWx+MePLTbUELZFoS7jZn9dkt2PbXGgFf5pkPPnhiPsAppdT184q1ro0yEOfcmvZdocmbMVvlt3Zt9UicU2jCuN0wikbuwc1qadYobzxbo34sjWbmm8yarjV68iRixhYEarWCvOBUjOR/l73qamT9zj9XG4q4qSd+6vOv8Kd/6DP84m9+l9evJm4mU0sa2HISYcGlWJ3qsfbN4ushTjmsWLUprZIZFQNMkqpNtRUsbsqmUR4+vcyLJ12ZIZmyy+JKO8tis3oEYRxGB0G6pHP0RBhte0WlKwEQ2r6zqfHV+rioLXAOuYMkYj1O6bbAAGJnOJrda7FhWi+//DJf+vEv8Vu/9T/z/PkVFVl9Vgce+lq3I4lRt1b7O/at3q7Yh00Pqd1QrIHizeW3A/hbyLnbKEkgtccdUfnebDdOIy2IZO8zEr++2va6nVnvX1Bt1fWWJNimR7OrTTUWgptTp/LOuvD4gw/trKuBVs8vb0iy4+O8Pj4Sz8rJY463OMVjGEcuLs7JFHY3e8q0uAGH8zt3rYnh6sq4sWPiwUsvcjzsORx2CFYqHlPmwd0zvvC5T/Du42dMH1xRK74pjXIwSuJTn/oEP/EnvsQf+4EvclcS3/q913n9m29wPFpzSE2ZKtbE5YV5UBjygHi5NQw9OLVliSmkkBbxJhdHYTzTnQuUMpDEJqyNkpCs3L2T+dFPv8QHT97n2+9fM83CMscGtQenpdxSJNGwNp6NQvDZHHWrvfmvHXpYcW7lewKz7lelOY/W1EJkpz1giJ/Zc7DnVOryPQir5TjhGHrTV8VRrQweAXY0ybVkbtM1cOUZv/62OoGIrtGzSBijJKfkZJiNLguHy4nT/sq55hXUeO/QnUByR2rDNDww9QpRvC85+mLf34Mq8cPVy7n2XPOQeemll/iZn/kZLi8v+Tf/+t9wOU0tcAw0wahKtijm+ExSLIyU+MHXYmjQ2faMVz/9Ktc3e6apcrOffIBJN/ofpUiskYB1MB/JV9tPHjBF+TKeTSRwvrPs9513rZFk1o7Qr9HkCODX1yce4JuqhiUsKTuanMSn+/n9E8pStidz9mmywQOOBEi9LOknIFD0Tkiz+0rZKya+jhExdnDEKWK+x1qfjl04gXJXScwJioo77M7jl6SkrY2tn48TTc/et3s04AdVyO41HF3bWa4uorfWj/a3ds21VuZavW9i8DPUz7VfOJ0u1x3eNE2rNbF7jz8LeMC2SjBzgwRNFUdt/y7LqgRvS2HoKRDynU07W2Azbrh7cYfr55dWafNdJ2T7Dq9q3X6FPKf4noDZm/ZrtcRp8P6RdkZXCVyzZb7OivH7h2HkeDjYs3eAJt4flR8ksq4OatSKNaP5M7XzcjvoVrxqFHZZu3ScPefUbGh7fBKgjCfGEolYd/Yt8DXEwhJRfO9It6fBSW4B0Ore2h5Znc215nbjG2PBoWRvgI/PEG2Vtl5RsTMayWKT4HVb4HR1og8v/onvt6PYDmL3ZxF84wGVdLR0baPiO5sNz0Z6rI5QrzXbm5CCJIYMwf3RqlSpbIYNw2ZkPi0sjuh7nNX3ApUhJe4MIy+Nd3jpzn3euHnKRrMJGoii0cvYAlDbvet5DNas3MGNsGNBYWv3mTOajAoUyUzV6hU4mlFIQT9d+VRVT4RTNrAhZ1MR0wDD4uZk9d9eAUzCIJl5mTDRDZen9ucdQ4liDWIw1RrFbg3rS+jqmzG8OL/gtdc+y+vf+CbPn1219YY+EMqOn9D460Q/hGHVa0WY2oC07FXFUIORxruPeMuAnN+fTrO+DvsPj7gijvLE6Nmz51Rv5r8FXgioJo853L4GUKFye2+veGfR9xV+Il4hWiIqlujUTPWEt04L60beP+j1sYP44LRGU1ZCSMNo2qO1cnV9xUBlXkpDqhDhZrdzY6pIGlHJiGxQPVHVy0dVmZaFq8uZb73+Fse52LQ4vJO6WplmmZXvfuu7/It/9svsnz3j937jf+Yrv/d144z6AwteeUrJD3E3bGltFMSNgkFsJIShVO6S+fTdh1zuduyWQmVhksySRzapIqVSRMgZEjMsCy/e2/L5T34B5Vt8/Z2n7EtBq2AKHhEwKHkYSNUm12nLAHumGKFJ7B3L2KK8GYbeUSRq71xvhiQyVI+rm1FWR8/z6oCvN7MS6hZBP0gpE+O2DVRNvq6WraoEGhODILrzu+X5JTjP5otsQuPKqBAlNGlBmxlibQ2/kkw/nzpb0KZGa0CdxSX94JqqhyuCLJ2GFHsQd3zV94bJVWq3QV4CsRJuRtXQCts3C5eXT/nyl3+X3W5vKhmDdfHj93VxcYftZuT58yvXNfez4BQdVZM5TR58FlWeX+34+je/Ra1wPM1GG0gDeVg35ii9TGrolCFRtU0sPU2nloCYc4rJoB058NPc0AqzKd3J2uf3P6ecV0CsMAzeuLoKXOI8xdqFDnrFy+OtR8HoSo1ykzK1FMoy03Q2fK3CgKrE/oQorzfHKRG8WMeQjZ+3e9FWPnZakMDdu3c4TTNLMW5vNMOrKsMwktLQBoNILYyRfGo1NYgxozmRptzQsGhWBeX8bMv52RmX1zdNbzvOVnf4dphraGKzloiz67EkI6qF2s54DLUrMeUQK1XTzp7eKiVLe6R2Rh379KFgkQCZM1zqTC2Vi/Mz7j14wAdPnqLT0p6/BADhByXUSsQTpjt3zvn0pz7JcXfDVFcj4xFMJSMhUptzNd3nHuLZw8ksS6HqwpCFcTNwfr7leDxynArimt5K7vbD90k0kk/zwrxUB5YuuLq6asBNq4TQZXODwtPsoD8ve/bjyj57w7XX3QN0wB12DI0K/X0RH5gDtwL+CD46YmCUrHUAnoL0X53nvzq6H+UjW4Bwm6u7DrTWTX1x3qwvoHN1Jbm4gu+JyITNrhqVMoKkDjb5cw/DKREzm9KYKYwZkBf2tnscac+5n12vzPp59cNiHqkltP5ZYbHCt+DVd2wQYiKhy2SzLlxGFoQsgzWDLy5LqnYleTM6ZcqC/aMIv/HO+zy53PPt64Vdgbw5o5yKJQrJphhHb2BK0pIeAuiQqGh4ABpBt1NVG/UtZ69uBh3YEy3nrRtbszKdCjWntu8sqNS2L07zhCxCytIqFEYLddnDlhRG9VU94IVoAjX7TOsx0LoQ/tz2kO+HACgl+dwIjw+xKt977z7i5/7Bz3F9c42BNIOBfaqrKoGi6jNqXBkoqJHJn0+wEFrvCN7PUhyEkz5rozehwm3gckUrW9HQ1pN3A+GPhK4Ubec29t/6XIkEfXVpcTGrdDV6Y3JKrRE5fFhUMiVlS+arDy9kMP14sZ4pQX3i8R/++vjDnobcZbaqTR3D0adA50oSFg9e7QaUpUyGx6QBYWCZC8+ePLWxz9onY6kopxmmZws1Ge9LnbkYwwKWqfLBo+f8ws//M37nN77Mu2+8zeP3nrI/CUVtuJO0YNQzNd+QZSmmHCI0RY7zizPmeWYukEVtYmyBszSyk0xdJtukVUAquZyQ6YTWLXo2sh1H9vs9X379Lf7UT/wAP/GlH+bq+GWu90841MS0VJbCCp1cPBv3Sagxjc/5ZoINOUHaU2nJ0HrTs94yqZdXKa79rEHswLJGR1M2mw3LslgPg8vs9U2uDbkehoE7dy447k9NjUF11ahlW3xl3CMoX01wrb2cHbcSSVleIS8kaUGLhoFRmkoMuGEZBrSYLJN229W42xAHuzvM7MjNUp1e4jzTmIxZoT8DejCUIqm6xS+1g3l9c8nXv/FVb+rFymQp4Vp23o+Q2z2DTQK1pZIWyBYMXRFJTLUyXe+t0pIyJJO1kuA6aMOx2n4x8MiNh3ijc14rwFg1KtYjAsiOdvVGLHwvJW9uWiNk9jeGeGw2G+7dvc+zZ88YBjMdoXyyHvplsoWZaS6kLIZ6rfZlBATVZybYpEBD46OHrVZ1aUBPtlqjuxtEvLwqPfAKhDPe1+8NK1MPGZ0m5nlGPbkXR2NMuaGQ/NlWpxEkt31SbYDJ+dk5jNUaV6XbviTwiZdf4eWXX+RrX3+daT52MEPX1yPGaU2YgpZ6Kbid2chM8cb1jkyaCoj14ARKHGc3HE3wh3slzZ7fkDMXmy3H6cRymswmoNYcC05Ds1kSL734kCdPn63zuh7gOUKgeClbbT/ur2944/hdTtOp/Z2qaf6n5vSishUBYQgh2J6rgAymYobAyy+9wMsvPeTtt96kLJZ8KdZcaFXA/nyjOjCOgycCwlyKUzDk1nmOKpndl5hdUws4N2NmGDP7/YGQLgzanwW22uhTrUzfgn6j4Ywy+H1FZckTPT9XPakLWxUJqrhN7RWDAPFiUNqaIpM9wV7KTKiNAB+xW+vvWQUu4PQNq1JbY6tXC7VTZ0xtJNH6zCQAMm1ns1d2ArjC93lt6Krp6/rNYHS+PIyWpCxeeXQ716oUvrhGp3UfATbgCIwa60lIksT9l15mHDc8//B9qIlxPGMYNxxPE7osTNMCp4laYBySV/7wniqzn1WUWZX3ZuXp8z37mhiHzGYcEbLJrRqHjoqpRuWcXWkobE8lpBgjPJQU1UKvZridbP3IutpPsd+0/9PWLfnvEJsjKoK2Fkvpe2sYBsSpeNFYGYl+qcVVVaXZ8Qguo+4UCXx2vxT7KibkVgcv8GREPApepoUnT56a3Rk3jJstyzKb+k7q1aOWUOMKPSItO+vVy0hMMZ+42tdEEtiuv1f9Y49/VKmr/W6zx9quJRLUlgC7OIqdhXTLb5qvzF18QcJv9Qp69Kf4AnZlGmcEJBm88ucUb8/HY2Ao0c/wh7w+fhCfbbiHNT92NK7pHQ+J7eaMUo+UxZxcUgFG0OpSmIVxULLOpGS8zYJxOYecWUoiiaOLzotNHuwa765y3C9899uPePO7jyinQtXMXLMjb7UjdysU1D4zZPcs8MrDwOiUIOpCzZklwXWZ+cbjd6lZYBxJminzQsZ0frdi/N39oVLLFi2V14/P2f/m1/iRH/w8r37qE7z94Q1Xp6ktGJJBKtHdr2pBAgLn52cs88y8zOZI1FCMojHUSLoTsdNq6JYHW0KnxUS53feiqwUU37DCNM0NqUyJ79nYIsLZ2ZalFI7HI0tM1mOlSey7NdQ52oh639DVueYpa+MGmskx55+d1lKLtsYg03U1R6AlZActoAmVkqVkGzBjZHbjnUofvNCDqeT0imqVj5SM3mRRb0OQIiCp4I2qRLxsfOJlQSjckl2kMowDpfREQmq2+xQLBHa7HXsPbILDnZQWuOfc+cCKNLUhMN1tIaHYuHppJbowe/HnXir0sAClGpcQjSoyStBYiiOJ7S/auq9RhsUNaigS5MGn4zqd4XQ6ofWSZVk4OzuzwCUn7/1wVBOr+pxOU6MCrFEM1dIrBdhzc9dsutSCc1QtObKYT9sZCBnVxeXBck5tFkSMNeyxZ9AVlHmaef78OUGdQWnXlBBLEGshqw050iG7So8NtVpEYVkY5tl4oDmhxbiueCDw/vuPub654nA8tIpl3FtKuSc+ZfHqQFABIggKxYkWuQG91BwIkgRdjRrxfpNSjGnWxuxytBxxetmATJM/F8Mz1ecHRFXw2bPn3NzsWJY54uPuGFuVw9Flt7NafTCeavMTLcHyvZZTRsagpvTqUPPVQZ3zJu+qJlUpuvDwwT2WolzvFldmMltXmuyoIGRyHnj48CG73Z6bmxuX4HPaltvFsDPS6AjaqCGCcH5xzvnZGfM0m2Rm7CdZJ77rz7AbiAAnic2+qLUHz0GlsGStI3vQEUXU1KVkyEzT7Ah59mRV2G7tvM3T1NZus9mw2QxcX121RHZNoQl/h4Mngjh1ze839UFoQXmJmKNTsix57NUJp52IJR4Of6ze76CS35u1VGigJY5rKONm5OLOHVISDjultFkHbqDUqRJ4I6lTThMxq8aSXFGzmxbALobSF+V8e2brlDKVqWvbF3X/430AYZdEXXJUQSsV4ah20lKZmZkprJpHxU9g+B+n1xkNRQh1L2LSqz/f1iiuTi3xOADBp9xGkI9XZLNNj10qSymgvQplzcrWGBs0XFJPBqIhNjlwoGoot8VshvK3gYYVEPtsO6PVmi7Vq6y+D8WTUgN2bJ5PHjP3Lu5xPBxMVEGEnMZVxXZhmmejh6h1zuWUkKGr4RlFLbuvslNncqW1TS+O/ddwRLTFVE2vnVWVMCWvNITSXq8IR3zRP8wVCoOdIf2vLi7umKb81VX7HGvKdxAsrTjwDliEbKl7IYsRavc5tQS3HltzCkppCY0RRNYoyv/y6+NLTC7FNnCgO3Zy7VGqUubKfjm4k6xu4O1BR1lCsQEl45BZ5hOlzCRxScjq709mACxXyIa2lELGDte8mBNWL9ML4oNwaOiO1fHxzmBf1FWmlBSWZebq+sqz8ERyNGiSxOwHdCTZptWCLooOzutcCgsx3CZx1Mr+7ac8vZl4+PAhpC267NHlBI4OS7ZBPpZNOnhbK9Ny6twoseuNkmtD0yIhiYOKJyYOXWitPoWy88Ji6pd/onekR8nSTG8bFuS80jRsODu7YLffcTxNtNK/Z73BgSTWuHWSg3prcZKE5KFLNEmgCKmFoIihNIHetBJVW/go6XVt1mmaWXOam1i7JwrdQWv7Z1kWNpuNTfwsPQCIe4oyZmKNkts/otIUHeIatEYzUchfqQ0C8nWr6lNaS2282eQHvRRlqe6cMMRKsGStIZdVG8qBDP5cPYmKUqLfrB0Z27vVERlhQepAYrCgKNk6Jb+fSMisUTQSq34vLehwmk+ZjfYVSIxW5XQ8ICKcTgc0Aqpa/MCZ07fnGqx16zFpPHlHa9T3pT1aa/S14NOCGVXMadHpCBEcxJ/NvHjiuiKVJrcHeHnfTLsNF1KvfgQyGlQVNAAKb8RWK4OqWIM6fiYP+4MNTosq3smb0TWx2x/ZHY6NftYCHac+bbZnLItR8PCExt4kTm+I82ROLiQ1h0SzpS2hj70VtG7UkMlijaCRRESSP51m4wLX0u7FnkoPtmtVTsvMNJnEICk51SOtpncaCqkSlR4gu1OqkXukZosjUZ+XyW2a62e7fW6OoQWPYPzGxM1xYqnK/Xt3KD6YrvFmqzn48Ef2nYXLy0sf667NB0WgrWJJIBHA0Rv3ai3UIuyubzgeDk5xMkccQYtn/+a0ibQ7hgk6ICJ9X7cyusTZMqWPatmD0wgAbJr4a69+irv37vHtb3+H/f5o95cGUh548OKL3L1zl8ePHnF9fYX6oKJ5tisJoYUU/0uC1rkFEilFut+McHvooUxU4iyJV8jVqBCo+9pIPFa2wipv1rxtPrjDCoXBpqvrTFZYZPDqp5I3mfPzM7QsHP2USiPuiS9fT8o1eeCeMnlIDiiGjJ+tyeHqqlXPLE4QlhI+GLdtAg6g2FA4qzjYROwADQNgsJ4M1IL/cTDkdCl9GKP4tZtN9X4xhTyMZlsBrWLBqFhFUVNUZzstqtE+/VWJwWruJ7OBHR5/Im6fJRnwaSm9OpU0tzPGquojidYbVsqMBFUPQfJg6y4godYTAWaxKerU6v0IalSzwcUTsvXTralN4pV7raZnL+oyju6vVQSpdtVo8R5jm1wu8Rkokpxm40Bu8rNkfesRbAtdTnPlJ/Q2vRC6so6xAHy/+WO377RputXnsCDCPM+eeKnHXyGmEN55HSbYfjG7lFqlSEWt16V5dF3RXrVNW1ZVkkoDST7O62MH8eFg1rrQlqn5Jq2yQsJss7UHhqGBVYU8nvPCCy9xdfmU0/VzJ/snTCM6t2AjMvlSK4Mo9+7eAeD65mASjpUmu5cwpF/sfDaeM27gG9roRnNd1g+HFiXMnMVLX4acmGwmlGoymEUVyW5AhsECtGrlquv3nrP58MYDxoWkNtiJ1NGuWGtDKYzmI54h4z8Xl1TraJe2oKN9gK+BIV+Gtmcv4YYBNEdsCHkMX2pBiwcLgeZm55BfX9/4kBKvr3s0lJKh2kbJmU0TW6NMFd3hfi7omzWMe3D+o7yNG6/iQQdhTKRtN79dT2TwyaKYzqu9t/YDRH8m60a0GuUvT1ZSzs6p7AlQIAzjsKEmZWn9JB68RuC0VsJo36vted/6Xv/cs/MzLi4uuLm5YXdcVmVNp8Cs+hyq0p5pnLPk+xalGfGG7JVqo+q9gh3GOgFDKpSk7sB8CJjBNKyVRPhIAG/TQ6XNcopQxZCNeAZGoYK+33I2wwc+ulrxQECb3FbAxhE+BoYqkehF0OnPJvmaq3SjZgEajdql4BMnAaonsl7hUOPI2vk2dQuL12s8sE4/qV5eFXPiJkNXPQCLDWnrutTKyRVNmuSlN2LH9hg8UZrVgqJhGHjxxRe5ub5mnk5E45piaz5kK9nX5Wifq+qT/Pwc+h5sSNJqH+rKJvdEm14l0+IKMt0+tyaxFdfZsBlvyhZ3msmGHBUpMFvSh9/vvFSqX58qlGLX1ZvMLbkKUlMppatdqIIP3VEPgm3qs7Qq1aLK7jhzOD6n9eRo6M9DcK/ML1nCWaalgRKC+B62N6WUGMcRVeOwW4AqDVgRgXlemKaZYRz9EYcgQPCAI8ARO1u+D7NvbOO1SrPHm7MNSyksMfkSsUmgraJinz0OA/funPPqq5/k8ePHHPYmUWpIZ+LBCy/w0z/10/zO7/w2X/m9LzPPlWmasHzF5U5janY/WW3vCJ33HkkWhOoWvPbaq+wPOz788IkDIHNv0K0dBVXt1McIeBunPfaX8+9Vs5OwO03EqrT2mfN0okyLKbutKp4tsI3PdISn8YklbEZcXjVZVGh67HPp50FE2++Yf6AljTGBOuVs+7HYeXXVg8Y2gOhJgbp4AuixQ3bgolVocBRYEmUJRaCQ0F3HT5Hou6fUCAljPoF4cm0TfSNRrCWavnM7e3FLltwm91lBJbHvurh7wcW9+ywLXD2/ZJn2lDL58RCU4kmAkFzEwvx3YTsmXrh/n+ura47ecBkWqJbK8XAw4Qr/rL6Y0bbisUZdgWMiTYa6FqOXIlCSxWVVV1UND47D68p6n6i2yoch6UH3wqsFLuLg/sVwstSSzyaekaVR37JXRJNkpulk8aZz58OPNGB0leBa4q8fETKhJXgSgX6T4I2KibRkMBLDW4HNH/D6+EE8tAxG3fmtFyouNqT0RGnlY61GElBRTtORZ5dPWKaT+QN7GpATm7Q1xGeaMBRDevDgPDqRo1MuQCS8VXRWu0PxB1WrOcetc8FthP1IcBK1KnnYUDUMjHcJl4UkisqC5GzB3WKGv2hixDK/aZ57duaB3Ol0bE06EbCqKouX3Syr1NhjnvV7ZuoHVSLYurWOTqvx3yu1IkNiGAc0h6ZxHMYWPveTFp8SgbOXu6PUbgehIxONaoN6p7gFgmdnZxyPumquW2fCdhnLUug36J+iJt+V8tiurg336Fuor40nYATfvhnJQKpTCwBjb8JtTlr13g2llzlFV2iGOzl7BljgRC/ni6MCsYZr49TKxv496wA+bqZWNUS7mnxXJClR6uzPxh2QxOfS1saMTg9wo0pjxsSYqrlWd9MbVDLnzHzxxXOOpfD4ZuZUEkWXpsoRCie9BO68P41pyH2ATQSIwS0cvAdAi9561jad0FO3cEbNLri58u+QBBlhKerJXF93gGWJyow1x96S8wMP6r307GtGUIU8WAg7ldRkClW7Ek9oba/3kPgI9fh7C7BKe+YRwFPtXE/zZE2hYZTdeYN6KRQLBOcFFefRajEaGx4DetIW1K6czJHdvTij1sLVbmauSo3yucitPbje9026sfaAIPL14mBFBEBR9YvR51HSXjvJ9Wevf1qrMjC4AlNCy+CAXdCklCx9NkGc5ehXkWyjymPwUlSBkqqfTbuHaGQM+TZbguQB/4DzBnytb18jSFNZAZpgQK3V5XItUItmcYsTnV7j1L5a7EyFHTTKie2xiJUrFqAOIuTsdn0FuERVtd2H20lrjagI2RNoG4TznTfe4YMnV1xfn1AGgg5Vy8Lls2e8/8H7jZa1LDbYzxItO08RuqkWlur9V56ARi6jqiGastonyuFg9EmbeWA0JcUTSXun2QKnetjzDJUQ51mvm2aBzIwmpajRcQLJzZqp08yh7JnnhXnuCkKxZ9pzc3ssoapTFlDx6qqd6TxKS1ij0nr7HAS1yKtrDRiK89KDfN8wZr7U94dfxzT7pG8HGAL9nd0XrulMQx4YhoH9crTvxwa3lbpwPEXS0lXybFCZNj9sNmrofrEq0YEdoEFXHrIkKpHYJNtTaCVyMFJiPNvww1/6Ef7if/hX+ODDK37x53+B9997C6bFbJonxyogajFIrdaMnkW4d/eCn/rJL/GVr36VN95+ZH68ZVHu7j3+aPQ7T6gsUHZjlFI7N1SLE5IM1GLBtmQhUW3kYbJp5YWM5BHK0va8ak/IVmaqPx9fj/B12Ru0W4wkIcFcG9DXE4LafbjHG6pWbTBQIq2+Z+XnPGEEbsUDdkaS+/V+7dGUJ34tIt6DlVZT1z/G64/EiV86RNkQIXXDX6ktCIrXmq+ckvOxysLNzVWICrQspZZCmY9WSsBK0Lk9ncpuf2iZ5pBHhpyY5xOhq+4nnRjQE786jiObzYZS99R5YUjQeF9ih61qaFRLR94SUCub7Ya7d+4w3+ysrO48wDAUyzy3W9ZGi3GJtnAuyY3HUm8HfB5wtD8rGKwqiPimoZeY2q84ZyqCVPuz9vfE81Aa0szq93POzTmCOyPsAPWMMZDzQGUrpSq73Y2jobUF/D3DxAvMhoyZ3e6NIGZoS7sO42VCcNj6Z1mw3WXpbhv2ZnDbY7xNo+l6xtriSY2zJhYUDuMG1epj1U29ZFkmjPFi6xWc40Bpkx/m3yfeWQ1D6UEfAsfjkWma2po3w6t9vWxj+57yZWnBIxHE9ArDWm1CtCJVqZopbljvjsJf+NEf5tH1Df/4y980NSQKidzWIqbipjTYWawWsGanP4Sh6U4OhiFx/8EDljJxdXkTZIKG2NltmJKUSAwYUgLdjeQkgufgGUdyE/fWg6q+pi1pCuUET4iTaPR0hTWhmyGboBtVxJRCHSdKtr6+4XxwdRv13gtWJLAU++22mkyYaksM/cw5TWa73UBKnE4npmni8aNH3UloBXIz7EKlzAujCJ/+1Cc4HvY2VbAKi5uInmz35Cle6vt9HQQFrUbRtofXiec8zw1tA7NTtEqmnctahWmaVp/tg1Id+VSXuhFxf5DchKGk2qs9RPikXVpw7aI+aqMi6AzlK8EbfcUC+OAVO3bhv6O3Pq/bBdp3r2kgrXKxOlNJchN7aWBI7OOUvPHMUOKMshmH1pM0zwuEDUh2Fg4HHxgTQIAnidq48P75Iux3E7ubZxbEIS75au/98MMP+PVf+zXA1m5IFurEuUtUznJiWgrFzUn4xVa5SGugaEV/EeWDJx9yfnbGj/7Yj/Hh02e889Y7aClNdSq5vwnlr+jRAEOE19U8G4hVkWSg0OR9ZEkKtc5WRq/KMlXrH3CqoLaEtpnPtq+Tn9mEo9xxJhOcn289QbOm6uglWtuNqHx7mm0UQ6QlZtb7EvbW9lBVGuWpBbh+zptfamerB69xRqdpcu6zPXsDAc1Y9Qb0+P4OPppvEw+mtT+H0r9n7fMCRBmSVZzn0quRRj+rbM62fPYLX+Cv/PW/xhtvPOZXfvVfw6O3/YNdOawabcZst+8sBUTZ3Vzz5S//Ls+urtCUmE3ej9Er1dG8vgZjAEPaPZA3v27PL6rJYeuRRFWbrj2UxJnOvJhmZpTHukXzQB6S9T34vouvWVNmIoAHWclLC+KDBKO6rA3YYPWc6PZJvSG9xSWlCWI0+VXogJBq+7y1rx7Hkex9dMvSZWhbzKgAyVnElcGTdNVV1fkPeX18nXj93g7fXoJ3FNcUFRvvau2cDTgLCoGwHU2ecg6jZ08T6A2T0tCLaG5RUPFxxe58WjC4VkWJA2q6yafTqTmhMJr4AV2myRYs9HLVzYga5/ZwWqj1hjkmjmLXMqnxLkutLZiM6bTjOFgjiqMhupTWTASrQE64VdEIjnp7ZlH2XAWLHS5ww6I+SroUC+pEmuFbO6ru2NftEiv0LvXN1wPO3A1zteRkmmanzDivePX5EFSoRCD9tzho4iX1nFopykGrdl1tT7XcphtkVn/fAvTa9ZEtwJLmnCSMbpR3Q+rQUSMhuOjVqf697NsO5C1n178/rnsdnMd1rf+9lmJMObPdblfBU98LJfoJVr/bgqtbyUu/f1QNYRfQlKgJkirHuvCbX3+dy3niNC+oZhBtDau0Z9q3lXF/Y82zDy7zMrwnYuebDeM4MM3H9jvDKmESf162D1xPOgKiVbAcW7rfS0c7bgdfgcxWnwDdA6C2jwWqNwSFA44Adn1kxnEgZzhN1utRVns8mtKipD9kR2lRbKKoeo4VLtWqDq0g2r7KDbuDBIfDwaUoK7oYYhcJgAWedlbUA65lsSau9x592Kp+jtu3wOCjAXw8z3CSNGqa7a1IsqKhfY029WpSamexn2dM/3u1jyMTU6ksWl0f3OhXFW+6Q6iLNprYWomlbbfVxlO0BcFhf3qgq5FVcvfOBdvtGc8vL5s6jSl9OIAgPZmP/fhRP3Xrma3sya0qmycNte2J0p5lSkLRwlJnBGEc7DyXWlnmmVKLPQf3PyFVV8M/AUm80kinEhl/S1D3fUZfsc9ysSq0FJ4/e8aQB1SL03iSU4eE+3fv8blXP8Fb777H5c0N47jxHhxaEAqgTeZTvNppkq+1KncfPOAv/9W/yu/+7u/y3nvvMZeFnJMF6d6UGJAP6tVLEe7cOed0OnEosyXVqo0uZvSOEUXICTIdOjUhio6M2+NfyQC67bYHFYdMQUNQAy7u3eHzn/8cu90Nb77xDtFQHJ/R1bn8M4n9HqiOJ/DW8dkC8qiQadhkt1rhV8LPfHTP9S1uftmSAGMTTMt8ax+q652n4Irja+X+cO1Xjfp2O36ofkaiOjvkgZygzCa1bMlUImnidDzy5d/+Hf6/f+fv8uTJNU8+eEQtc6TW3scz+EHypCwLkZUf54lHHzxFJSPDOS+9/Crz6cTp+pKC9WckpyF3UM/jQlKLM8QPa5KEjEKRBdUCMlv2XypI4YXNwJ//3CvcefiQv/U7b3N5WtDcfZb5qZBmrd/z7ONlTchiqnZVfdaFrs49jB40hw7+ukKt2PUHq6Stl1uznAc2o4stLDZ51/q6hvYdy7x0Wq+V4WwKroZNDpnNPtzz46Lw8Eec2Bpo/C2jZ2tlC6YVqSYnafG2ORSb0OYHpVS2w8jnXvssu92Odx49NqMdZ1ssMO4Zk22mUMJQ3xgsRlzN60EvGjxMa+zYbMaWEX80oFW1JEHqwuBZUEEa/laKlYERmKfZuVzGdSVBmeYW3MVghLje6WQGPYLp0A0NObyeMdrzqatNZXdt0adNDtRmyHoG6leZrRkwnC/0DRxBzDooWmeI680aEelHA9J5NoWK6D2Iz+wl404PMQMnrBGs9d5ZO9RW7vuoA4XVdWpP/Gpt1xTX14cf2XdbsrB23j3L/yjKb2VhbhlN3GHYno0g2YK2CDjD2XQ5Kt/7SW6Vv2JPRPNVJJTArb24vqb1M4h7/Sg16KM/UxRNVlrOVRgUSHBQ4SvvPWVOwqyJUPxAw6OHZKMj4QKBYNvH2wfZebcgQ0SY58LTZ0+Z5okmNUen2phykDR1oHhAsavbfym3ktp1cJU9WI+BVaFsEbSHZtzUUDxJtJJpyqZjb78fwacdDdMl70GCBbaRKBc/Q+pnqle6GiW9Vu+P8AYyL1dHc5KfDCCCQKjL3BKmWOuYHZAiWaSSB+NfFxW0VJ5c7TA4ODd60629lVKr/AQK1J7hqsTZqi6ltIAjEMQOwPR1qpgST60VyT2hFOmJQaNQSIJUSOLqEDL6+RdETXdbmRHpSV3YyXUl0hCwbh/a/kYaRSgJnF2c8eDBA272NyzHIxBVhX4ONc7xyuYZB15bFXl9lm4hhmGL2hk0FRTVVWUvEo7B7mEphd3R6Dm1RCDe3nm716S425dMJFNEMOjHI2hVMiQk3u97RLDvmH1PjpsB1WqUNHMqrXdqGAfImaILrYoQyaAnn7CmaFkSd3N1zS/8w3/Ik6dPUZ8wGv0vfUhPPHMLUnO2auPizdrtfhHGNDBUJemCDbExEMmqY+rIrzSdfvF9srYJYI32CWnCDdK3OLUUDocDp9PJesxKnwJ8O1EN+piDXqLNVogHUnWlYKdeHbCz3P1PNJhHUr+mTazPaKtwOe3PzuUKuKmdtuG5VjsH8R6g9bLFnIUINtt7pKPzC4WlGiCEROXAntt8OPHmt7/L3/2b/x9Op8Ll8yfU+UTSOJ8AxhMvQBWLV0QwmqFsMPLSwOb8AT/xk3+KDx+9y1d/5zfb7IEAuj76it5Dc5WxNoVhBbymXElphrIwSOVi3PDDf+yLXLz4Amevv8ez+Qg62kGhKyatfWmAAcVj1NhTER95mIJWmj0yEMjsW7cHDjwMwy1QbR2/xFTzMWc++YlPsNluePz4MTc3e9b21fZMpW3cVXxRa3XUvXpSnFi0D3VMa8r6H/D6+MOeape16zI7dqHZ5dbaIyjVMkChGcYo61IrZS7sr29McSQyK7ESvxk7R0ijAx1z+saHU2sSEetY1qDF+zUK1hybU+Li4gKA3W7XjPg6y9Fa2ebE/fMthcrl8QDeBGgMw0whgsNq8nOlOL+ZtrDx3W2CaBLnobqTb9l7Aq1N4aRtDHo2bpoLRr1RR/aaQ25ZJESwEHzXJIm1U2oUh5URu4XIr39eIlAIzdNVArAKgDs156NBQNwfXpWwz2q0+MgVPEBDe8Ar0hOdMIrDMNzq9m/Z7yqQ7YdXEPKtw9yeq0iTktNKqzhUD8AiqEkqrgbQpeuElcbr6vOMi12bAV4HaVGGW78i21ZPcutS2xnqf09z4h2t8N/3n8UrnoVq/NzQT6kFqcVmNUgGHUyPnIKoaQCHWlEEESmN1DpTKTy4f5+6zOz2e1Rhu9kikin1hGD65PM8UyWmzKmfxV5VGvLgPQDuvCoteAhnQ1x/NVnCCEjXgVUY40Blo9S+piu1pLd2x2AIlngyEs7V7MfpdPLEY+hDuDyYSB7YNV65RgK+0l53ZNV9svV3CK36BqyUSSLS6Oe+JZfNUffUzr47Q8pOQbYAnmSEpXXysj636z2xRhUNU3GkqFFw1nvHrmm7NRrC8Xj0LdidYa0K3lSWIpPx9c4yAANVF6oebZhL2oIWapnJalQPQ6X7GS+1UkXb5Fc7c52Xv54WHch8pEghfTmdTu4QHbmUdWWjJ9rxOR/dT2v7F/8d1UI/hn7NPWiKxAdPBi8uLiilsNvtmat2akxbB72VTLS9uJJkXF/v6qT7HvEKlu8lO+debVLzr6fT4pCTNZRf73Z86zvfoYglH2U5NUqE9WiZYhZJvNG8ICk7sm+qRof9gd/73d/rCLIaeFQW86smh7iSMhZTQDkdveyvEei6HKQk7o+VLROHknheBxOIqDMlJev58v65mEAWHif8qtEGExRfBw+GIqY4HE68+dbbaCT1En0t3W7DWpWkkIZerVW1BuQItHpg6FSn6usWlFa1BEhixTxRvH//fosz1vasU9j8V1XR0gNei29sDYOUWKPSsLL18VkBqMS91XjWsb896LZGTvUMwa72uDvw6PgOOY9QZ98DCe/5bHvFJtabEImKoK6cYKpKieNx4stf/grT/opaFhCvqIg9y4hXAK94h4G0+6+qPsXebRIDzIrOtuU1Z96fC3/3t77BZrtld5wYNTHHZ7R7j2bW713vWMecs93jPNnX17AJ2ejCLkpyC5S2JbfBlCLe0Bo9L8HdtBgvF+F0OFosthjVZ0gdiFoDMMkyQttf6rNZ3ZeqmrR1XHfEIx/n9fHpNE45CONvDSkTfSyzOetwEmXxwEkAMem8XBOiiXkpvPf4Q1fXqGhK5Ix3lpvziOAgZL68CmGBcjFFTc2O4IN3g9vDtYEold1uxziOjOPIspQegKofCLHG10+88jL704Hr6cTsHKdopNHqBdLVoQ94b40oxWcH6hVZlLpqS3VEQ90IlKKMo/E7LQGgTeaLKaumWtMPbNtn4RwiKMeDo3iD9Gv9/bJV+4j+uSheEu+fqWCH2Z9pXZyyk9dIkmeV4XzcsPuOvZXF2jWnbsyIIMmdtRvJprecojoTCdf6kDqi4dw9pTYq0ZpyYIelVz/sYntgEGiOGSohyLDWR5s8Q6c55KBCBFq8lD58AqKjfWVInEOHOpdTXG3FN63RBXOr1ISFiubncGqVPm3YJihawig+WKpIoWygnhakbqx8mITZrKlz4Tt1qSXWWqha2W42vPbaZzged3z7299B/JpsX9nvWLKo7VpQbgVdNvp7QCjMLs+l1RJuC09KLDq448lOlTBVGzuToXATlRBUqcVQYo9JfIs3Ao0jLR5cr9Y/3tzLpLZXWiKvxlkcU+J0OjLXwqIL0fSYB5s58OD+fW52N+i0NFQpC0itFoRISJPGV6bGb223HIaKoJxJC8o0CWPKCOqG3B+VWLlWK7eQUFXjS66R0djjHVwJGbSwjWocWz/P8VoH9vHfjYaQQBdXJnGKXKoLF2lhM2YORThWCwJqnREKiYIk/y6NyujtpKM4ChY65SkqYPV2ogJOa/HAdCmTBVNpbOvn0TDEGcmZ8/Nzaq3c3NzYhMgWCK1pd2EHbb2iimKPpgdG6yA+AqXj8ej73xM7n8wNAf6oz8HoTjg+z9RwzNDHPAQhW3LsSilmWjPqKjZ2Tq1/RUQaJ18phIRtVeW4KE5CtoqaB7vhT0x9JKbnhsJVnEuMsirmd7SoJeUxREeM7uOGzaizqz1nptWoB3EWx5z4/pfv8Gd+7Ef4za+/ya+/fc1uXsgCxRuTpQaose6vSm39bb/T0N54RdBZq1Jn+3l2BbWPVm+bTTA30/ylQEso1T87AnBFTfEmWSXAAKB1VdeuLY8DKWcXf1glMd2c236o1apYSFOi6wle2GhB64LIym8BSLaEJnwxHYhMKZPdX2bJTGXxQFVIMrhAgdmcqrDdDDx84QFXl88py0zRZO0tIozDgCwn7m62TFU4TDNLtYFt4S9QRRd49O53yFRUjZKTh9SCT3ynhIVO4rUkp375ynZVPskmWVvtmhW4rspvP9oBN55E5Vb1NP+wBgJ7j0DsjZjTotV6C/3Yu/+LOhS39tmYsoGocb/uMCtKTh4DtsKlQIWiCx988IFT7ar7SqPq9uTdzkOZlxY/l1JsCKIn/DT/cTsJ+Tivjx/EQ0M1zs/PETkyt25tK730rNHkwmqpkBxVQVugXWtlLs4ZG3LbZNE0ZP06yjAO1KW2smTKq0PpAX5MMItSnCEAFiBaQyEt0bh79w5lKexvdmZAEKZp4enTK05lpkbgri0FJ7ikOWXjMQlh+W8Fa4AbR9dVTb1xw7IPD+T9ekop1gjlr+Dotu7lCJQjQJRkg4IiyF453Sg1Suod6x+l6Kwz+niGa26+RDOnhsShB+TxGbK6vzBgORkPrKo3KvtzawG7rXUEUXNRD9R9T6nvLEc1A/UchgEDRhZXqQjeXiBpgc4HXeB24J4iKPfn005u9cBXet9A0G3GzegN1p5sxTJLpzJZmsMtvltVvy76erQEKYKoWEu0NQubwxeQ4qhSZPj2e+uEjVYhMQdZiiM1KGmTjdO6nEhpoKo1w8Hk00dHoj8heJcRzER/yrxMvP32W9Q6k9IA1Whh6g2qksQHclnSEZYsHm3OmbOzM6bFBuRoa47172hNv50HGPKF64pK7O266muJjSIe9MUaRyIUKHRTc1g5xrBcPYHN/p2L0wXs55vNxmxZtQAIxKl41rS+OG3FKmZOgVhsdsXF2QXLsjAthQU3/CmauO3cNBqWrpITP1vVg1Hjrxqhr+HUKpQlKDDd/q5pAn6L1mci0iYax7lNnnTHGRzGkc14zs3NDYfDgf6SW2ddUu9rkHi+ktlshB/9gYf8lb/85/jn/+q3+Le/8wb7yShXm2FrIcZyoiM42tbxVhUJS2xDpSaqcL9f5RC1Cag2lr209Y9Pj8NXHUUch4GQai21rIKntNpn3YE3OxGnTyFk7dQd8HZ7Rs6J43RkmSx5l9C90U4zSlk8cOoBRW5SgNLWsCWjrn9Pa+736eYyUBdXbWkARE8m7Jy4r0im8Z7FkMWcMomln52UqJSWTAaAZZcuvq+zr7FVB5KE+IMHjmpa1sM4OpJam10tpYCjsEJqnO4xKT/4+Vf4j//iT1PKwtff/wan2WZpUCGpV5pwimStXrEPHyJOlavtDMU5aNfWACD9SIX2diBkfiGZz/LJ5ptxNCCxFKNnELTMuSVY1gfniQlWzaSqB1/mJ5Zl4enTp6vv6vbPEsLeUJ48KYkktsn1SockIjm6BZTVqDzdOrH0WRFu83zoXvJ9bPvMT1sy3306TcxLpajLavrnUGbunW/4/Guf5v0nz5ima4rfa1SuU4Kqs/HpE0iKdQi3YM+gur81/5caPXp9to0KWSFVNBdgsGC/qZZlJBVDrwnwQdtzinWNCu268hb7Zf0z1PZWUGECGG1hkZ/DsAPdb8e1RyRCi7cskV7HpB+xKRrxL0jEMnVBtDImYxtYpTAzLYvvKb21j/+w18cO4sfNGfM0Uatyc7Nzg7suIXojktjGtEZXd87Vpn+N48gmb9jf7I1j6pvCaDb2MZIwAyGC6Q1XVIsF91VcvlWIjubsTmYp9mAysMG4mguJuRj6mQfrBrcBCr4QCeYK719dG0UmZ99YxceFSwtw1Q9t9YAttQPWGyKq/1zEh6PUruATfPGgcNxyUn6AbYPrrZ+3cfaSQFMzLjXSSfVtLV6exhywaDdiCobqSkJUPVCNgBLGzchmO7DfHcwpqDiSEKX5vg9Cqk+clhIDV8QNV3UDnFI/aDkbkmCKoM7PFA/oHcHyD2/G25BjbZKQ1FC16BSOUlblp9oDLfsOO27V7wdPEiKxUlan1zNue1Z+DYRhUsI+RrKyeNmsGQzxZutwMsFj9ABDiTkGfiizIYZSs3Np++bX4g7Tk1HxxsoIBovSks2c4NVXP41q4f233nLxFPssmy1h62vOsLsIywuKB7/mrK+u934WI6BeoXS+NoFMRQInoRIihkJYU07wimvnsUKTtwwb13WhV4FdM1yxnhacnm3OyMPA4XBo5y+2TBzDaI+3JY2GJ09ZJIKxXlmKP0/TRJnnpmQQCdTZ2RnTDGjlsD86gODPJYZ4YDKL9lC8uqLiw1J68KCr+xQELeF8E+p9CWWxID4naChzJMarIPjWv+PY+P4Nbf8kMI4bTtMCMrDdnjFNE8s0sxm3vPjiQ6ZpNvUDdWWGtv/pwXzVTlUKOz4K5xcXfOrTn+Hs7OtAZUzC3fMNn/rkp1mK8s67b3OcvHcKaVU0q2CtZPE8sEJXdMPV/dG+OWKRHshi1sEdngXvYGphl88vCbgzlFjsNPbn16qyYn0UFxfnHA4H5mn2teq9L4K0z88INRmVE2j7rNEKQ3EoOYglJklZPaGN4EQFaulylY2jjp078wPV97fTOVrSZzMt7t17kavrK9fndmqBqo9rcRnjZvPi35Wg4QQiL4jRDKuvu5qqU/I+I48j20poqdTFLrkCmsXUy7SQw1eoTQj/1tuP+Xu/9Gt8+Y1HHIuiaaAui1XbU4LqAEOs9u8bgFsVMCrkCtg0Wz9XfmW1sQKE7XbLgwf3uby8dLqYr1OppuuOSSG3/jIRNuPGkhm3MeqBZ9iqAJlMoGGxp6EeSK7oOEGtiiC8tEpj2B51nyMY3c/AvRyCDzXRZjrISpJRhHGzNT9QljZ1thaliPkdrQZWhL8jrRtzFdWFy+fP/OPSKkmMOCLz/Oqam93eerrEnUmtDEM2KdWyeMJll2UJoCfla2pKxE9ulyToFCLuKv05iCc7uftaxSgnqMl9S8oUhTUBbf0S36SNxqQwbja25t6vEetjT6Le+qQSiYJYRTR6bnAb5u6yVS1rAEmiTGVhyDFwa21f/M8EyGqZjtaFzbBFVZl9joANOHS6Gsq8LP//D+JzHliSbcZSqo/E9S9JbiTd6JQI9FaoshZlmWbIClKxeQpuSP07tFSsed2C4uLoYRKThArNWsk2la6KWOkeadnVIIW7m8SrL7/EB5c3fHAzsWBTF69urhCNxjS1IFWEKoMhvqoWaEry8r3xpSNwUY2Ghp5pBrWioYMS6i/Gyy+R0etKlmqVZa05U8GlbRmgB5EiQglHoXSkWSMgtVIiGGoons3dQuUdBRK9jcobum2bUTLoYtceTtzrXV5F8YUSW6OW/aslYcaNlTaKXnwTRzk+///Y+9dfTbIsvQ/77b0j4n3POXkys+63vs309MxwekhTvInDISVKlgDbNGl+E6BPNuw/xYa/mrAMGIIBG7ZlWLANGDRpWRyTNMkhZ8TbDIc93dPX6qrKqrznyXN5LxGx917+sNbaESerRdXANCABFY3szMo8b7wR+7L2s9Z61rOcatUim/p+qrTgWQ+oVdNOXadKQI02gB+oS2HrUoyrhiGuGo+o/QkG5tcRLDGN7yZiqkW8ncsvFgPtTuEw0Oeat3XVQMy97eARNR2gaJvRAVkDlDrqiAg9VSMNAXLQlGMNgS4BooU/282WaZ45ztnobMpPd532lxfPAbFW5IFAUSfJistZFVB5gbIDtsVIKJCqVRrgUvqcLjDlOdrz+/skAJVt8/qNao45IuokaEhebYU7xY1hoOOvY2F/szJarqyCwFxne99MjEkzWP784hzY0DJbyVSAxnFskeucC6VI02LGLE8A5qK8SEzDXEQ4HPd4tLeEgOT51tgIgVwDN8cRseYnpNScWX8VpXuJjbIa8SBivHIjGpm9Cx6x9eLTBb9/zmaA08nEooOaxsXWttYrJ7puy2tvvsvxsOPl82fsdjvmeVSaie3NWjwiJQvbzL6nGqdVZWlhHgvf/cFD/pf/8f+Nh09eMs2qTX3/zglv3jtlf5x5nBIh6OeUp6tz3/cDd+/e0yzA8UitRQ+/9V5h+W7fwwRdi9E51+3/jXoUMFkCz4wJKaQFWDdnSW2mA3is3iCmyGbTcRyFEK3VfVx0z0Uq8zytgivetCc0mqcf1EWseR9ud7CSTovG2p4SB/oG8FIK5Nmi2yEQo9dtmGMaHbzq3VI/8PobbzPmynx9ZVUUwmv375Jz1toWxApK1Vn3M8FxmapRqfShGRdihE0/qE20zHPjDNdKmaflxJ5n+lQhQQmVkgPBFYqkMpfCdz+94AdPrxmLsJ+DFm+HToFZQLutm3McYwKj+MUGYhd6g2c9/KwnYNl7WUV61Xa8887b/JFf+WV+93f/OU8eH6k1tPW+zCOtXgKBUmalmPh+RgihMzqu/p1m6Aq5zO2cXtbtksFslwUZ1nt37Yx54yP/GRXpWD7eQgAxklLP6Z0zSi3cXF8hok6lZ82wpnfutOm5UFuk3mvylEseFkc3uKMWuBmP7A57skQkGvaxNRtj4OTklGk6UsexOTmKAVyeclW/ZufvwmaIhNRRZNlXIVlAVDoLAFkmwuwGNVpPDVmcqXTb2Q9mWyVaMtX21lLkv5xrzX74Y9ufmzhJwM4IczocR4QVnjUlo+JBv6iy2mKY1yldYsXpTgXV59QHcLqVVGGqmVw0aEnQWpXb4h3/6usLg/ijNTHSUVgGxD12L6BwOk1K7pHo5pzzTDZun6BOgHNrPdpB884irqGrEe516sMjGhBCZ6BLkBgsrRE4Oznn6+9/lf3xI57fZE0BGchoGrLYYRicOqEbUNOGgdRZu2mxFF+oTYTfF2ophe3JCUPfq5xcLuBORcDAC8t32eVe4+IJ+iQ3d8b+K7Sf8GfuUrJCqpUMlkU/NQKkRrqPHbFLjCah2egmYNyuSrWoX8mZ47GwVuNYPMnYohVqd1QGDyAQzaHAVqe+gVJ/XP1E6IeBkk1qMQTbMOrx1lKsu5msCjuqdVNcxk7AvHQFKGojpKkeNS4+i5cd3cB5rYGNIU0ezKNegZACXdfRdUOjGWiULbR17TrDbQ7t8udmNc8enbsFlm2Ji0S6Wnn7PPD2m3f59OkNz/fZjLIWrFWidrFLWyIbqCMlK19SG5Ep7/X66ppgKVsRXwtKU1M1FTXazZEQ32Zi7+YZIF2zlixZuN/ROg0Wbbzh3PwlhWlUMO+QWMwpwykDC18xWvpwbeycK7oeOx1faTtjmmZyyHSpYxg2BEFpO1XM4VoODlcS8edzLrnPne9dn0N7Umown8MAZ85Fn5PFLEU7cBelHN1Hrv6zUndse4UVH1zHWNVwqu0FT7G3+ha3DW5rbWOvx0bXZmToB+Y8m2S7UQtDNb7lROo2nJyd88u/9Cs8efwZ1y8vyPPEfr9f+LtWWLjWSV4/bzuQkNYa/OLqwMvdZ2R6SlXgcHF5zfH4IYcps59UjaQ02pVGGLsu8fbbb0LUpn8Bt/HLPm/BEkMWtZamjy0hNcdL0GxgTMGoHfq8KcUmR9oUaZrT4/ZUWjAhBBiPlRf5gnmetXPq+Tnn5+fs93suLy+Zc75VpJY6D9QslKEYQJLz4i2SD9bDwYBYlywT6pZerO4hMAwDKSay1TpgYEH/GFowwk4rxuPERx9/pJ1Vo55dIUbOzu5wOB642t3oXvZ7GAhrfF/f41gDJXO+uy5q5maemI7aKC/Z3pJaNdGXomUKK1/pOt65d4cPLy+50JYMzDFSQyGLcDUFavagiE62B8JiVGd4zuZQGZr1ejS3rUCjgqhzK82YygqkCS4xLIzjyMPPPmO327PAFgfIq+BK0A7TQYRSQgNzOneqdHN6esrhcGCaRm3m6EC8ZdrdhgISbslGu7oMrKLEq/MAtC6nVrUJordQyqa/c1DZ1pwLV5dXEG3t2vkfLDKimCot9h3H6W53NPvggQpdfwvOkOrZH5uH5uToO965c4dvfOMbfPLJxy274U6h9lf4GVQ/sO9QGmyKlZo10xTctohD9yXzBBaVj+5MCMkgMc12OU1mcVrW43scR1pINawcLmlxCrzjshguXY9B8No1i6L3nX7vNGdVP/NsktXTJMtIKK1voYu6SqMLdUgVYtWO0SElpBRytUZoFtQI3Fbk+1ddX7xja/NMFgWTEEBqaCCxtSFOvqhKOwQWSoq9XJ1xz9kPV9zzsYVcrMBEN5tzGqOdkAHv8Fc9pUSgxMizmx3//Ps/4HCcqWDV3i7tlhrIbobAqRDBPLrqG2DlronQiin8MDAwk41DLrbhhu2GGKOCweo8hqXwtCmb2OGpShcGovz9q7WbkYXX6mByicQpenbPX6MZNCTRp44pTI2f2zZWA8cG4qvQxQGIrYDIU38pxmY8QTQFXCGmpM5RXdLErqTQUkjA0Pecn5/z8uJSvdda7dDJZrRp7rCnAQXtjqvR7KBwPOhGRtQDdq33ZDBrrfHq6w0sY8IqChMWbf7mtK0A+Hqz+/isPKnmTAajAeW6eMtr4742ZreKrOz7TvrKv/Vn/wh/6b/z5/nf/J/+Jr/1Lz8BBmKZjYvdUQpc7SbO7r3Om6+9zYunjyCP1KJjV0OCqulGRBUyXA3JD+2UPNrtTtzC9XOnOKbUeH2+QJRjraCtSKFSSX1nh+9qHcfQmid5lthBGbLMB22Phwaq/DnXB2tKyQB5puu6JvMHCkbGcQTRrELFi0pvO1GllIXi5tSmuIAHX836u4PlxZBrEy11GlW9wRQWwtKjImoIqa0zMUUJB+ZVXA7v1QSwrpFk3rJ3cvarRYn9eYLbyOVQTCmRYiR1ST9fPQ4kxsdObf/FEDg/P+dwuNtqim4BZQ2XLWsj3FbEaLbGDutWyCmRrEczBbg5zuyOM7kKNVinbrNrngk7TiOPnzzmcNxr8SuWoW1SmQ5cl5oelbKU2/SWoDba62eyTFr8XH0UPBPiNVQsttVNoANrUzOZ52KfD5yf3+Pnv/nzPHnyhOubPTJ73U+0sy0029fCGTG2tSfBiyl1nalYk+0ncecYy3xVEJMBbVnFRUknxqjF67YGxWq1RITJecn2DHOpfPr4iZ6LFiTRdWQr3s6bZFHdbP0qYowm/ajFrVdXN+rMxtQoiwTouh5BxShqgA3wc3fu82vf/EX+s+98h/3+mjkEpqRzNleB2KlDLkYbRCCocllyOo9kK1q0NWd2SSOp0cuS8JogHVPtS9A+sFrXEHj+/AXPnj1t3cndzqzX/u11vtitWhalqlIK+/2ibncrc84CJN35fnV98ep/v/JncNri7X/3gKM7caB7Q7NtbiLM4fdzK/q5bns/uapKuWU/ghlrDzRIo1YFVa6RJaAWLDqt1I/Mk6dPuby+xrMn/twCrUh5PUb+MwFrTSaV5CILJH1WWeZXZcotaxkrUGjZKAfprM5m/xsPmKXlzF2P53KmOx74fGOqZXzs3ELHScF1aF3qvRfRUkS92KolIOWLSte1qs0EYuqIITDXSi6zx74N8wa6YYCgWv//+kG8GY6ASUqaJ5eipet8jFeLdg1qsINIU40RYr9Em+yzeuC1GMVy+NlA5Frouk6/s2Lc7mJdXlVNpNbKvhby7mCqFtFnhhCs6Y/muNsBG6KDzoW2oZ7TCtS5koABFU8x5pxN5F+fvMrSacsNumAHvLTB8UfCaQbepcs7/nmbYo8quezh54xIAyl2QNRlzF0px+fDwbUDiejzGGCetCAuBlVd6fsePNJe7XkMFLp6QVkBcH1/i5NVMY1ibZF83B2Qko2KURHrTrdET5asC5Yd6LuhjW+Rov0HVhriDvh0DNbUEHBKkxY/LnNYTJKqSG1KMnqA6dznUpDxiMtcppSYp7lRcaKlvxvkuWVI/Ltf+c/gxVLu4OhmLSI8e/6MH/zwB1xfXaNyXhGJkVATiY4agdjzi7/yR/nlP/JL/I3/+/+F/cVjCAWhszmPzZkF2pyuu8uFYKlqHyvWIEYtiNaAxGWfm6H3z4YaFrDoc4XrfHvhkq0zV+AJS4fY2kCuLvxalqjLWj50sRvO1wxLBsaUPcIrQx5Xc9lAycpxaGDYI06yABN9FxsLWVK5YHQDHQC1Ja/a+7A81/qfmhMbF838JrHrz2TrguKtwNtWYl1M6ooMgsDKGc+lkFuNwJJZkhAIyQFl5ni44Uc/+gP2hxs9YGKwtIPQ6CjQKIYuSXlrffg+cTtFb90H7XtEgUMIgYI0jmwIGjWTkiFpLcnzF8+bQxnNca8e5UZa1Ks5ohZIAKxGanUoV+XAK8CNi2O22vP+7H5ewUKHW2tNiwQFqRLZ7fc8e/ac6+sbmnpITKSU6Pu+dWB+9XvaJc6ZDeroeS1ENTUjC5YEUVUwUOWKVx2n5dlvBwPE5g4Ro8EEYkpU0Y6tfYqkfrAO1Lo+/KxxxLAGMAuwXTmkVbMEje/c1qT9CoGcIn9w84JHP/qXPJiuOWw0K9K5NGVI1BAUi93aM2r3i513MdKECPx5bkWtBVqK2CPzCNoV3JWBdB87VaRYZ88lC+hF76VJxXZd15x98Vo026Vr/OICHq86V7eBoe0jMee0iu3lz2fR2jIRX4uLU+gBp/X3e9M9pBqoFoZhIEpgHEfO7pyRS2Z/HM3BRs89DIQtgvkeAAEAAElEQVTXegsHaDB1mQ7N1lphsteoub12UForN/sdu8PePqgKRVoKsKhihVfmUekmZmejKENDlwBCIJuaE6uCfrt9e2bvR+N224NIpdDWrX7tKli0WjuvnjH6XLaK3Ml4ZQ/HsAiG9H3HnTunXF9fM9ei2T4aZUHthtNW2zpQLOYUnaW41TBB35NzbVQbg1fWg2XJXH+R6w8hMWmpyZ9l5EW0q1spqp0Zl3Q7uPEwcDkXJCwdFl2mTofUqREKuGLqVsBhSbEWc0ZrFBuo4ORTXPlhnvJC8xC55VmvfAP7vyVWFtrGu7043UFxDp3KC+qGWu6pn5um2UDQ6v1t4/hS8VSuG2bnqPp3KXhYCgY/t0AJrYtYWUUKfeXXWjmO4+eM9dpzbxkB1Db64mngWGordtLX96Xvn1lRMRzcObjFjNKcyZPKUIWKNngIyt8uLGOt9/OIqioVtKI6+/1VLx9o6TLCEgH3QlqPdIWg0Ust1NLx8EIkzx5poVkxcBkX2tQr0cu2pm0gYopalIil69eAunnqiy6wHl+J/Qz/9LsP+f5PH3J5A6V2zGEiBtHmY1YUJxQ+efAx+8M11Jn7r52zv77kMDvP3OQDMSlHn3/Tgm4GwukSli2JMTZ6hL+PCatpox87PESkFeg5p9LnPMYFvLXlbpySiN9/yYD4+7sSURvLV+yJA2t9Tu1QKbI07IksEbe2IO3zawB/K5ppEdeYNJrs68QVA7qgusFa4OqbPRCi1zvYM9oY6F5fouzBQIYIC885xkZFWJB6aO/ijfN8L5GsqNnGYV0EShvbBeT578kicFWqSaX6PAamec/HH/1Y6wLK7Tbe67W6zhp9Lnuy+q7WqE1hmEptEppykINk/9lk86PftexfB4Mqj5/aWl62s62rKtrl0+5nkLoFhKhV+e8+vKs9ugZDaxDvY7uMrzpOVhbB1dUV4zi2OVqv0XmeNUvombVbQZQ1qNdAk9Irgq3njBf0B1tDTcZ2NR8uc7goe6VbY+LjLEZNS9ZhU5sk6u9lnm18U9srrvxS6wKaG1gIHkBbsqlaL4Y6j3Z+FaufqsBYA88qPL3YG3VH0L4UlSCRKImQBMi4+KA21LPCTRW1scJffasit53wNp9tnyzdajGnVaUJdYzX63gBaX4Z9SNJi9zeAstt/m7bpDWYCq+OGwt179a+WdM0XgH967PEv2+59wI41ypbfrT3Secl50x0+rIoBSna9y60ZlomYtkbSv8IhntiVBpMnhfKmO8Rd7Ydd+l4rjK6q/u2YOdqzPS9zabFwLAZeO/tt9ndXPPy5RUFtyUAc8NeSCDGTullWRtn+vkVI3RdZJ6tE7Y4dU1wnJjzMuav7q02r2FRZNJxX+EK8SzbMm9NqvxYjN0hupejZuZqXXT9m4Pv61cWh86z4CkkaljsmXg2dIU5/7Vz4p2L52DEv3ANbhHbHKvIaDNyHsENi3dcckHiGjS+QmewRen0l1qFvusZuoHr/V75ecEiCwldvGasEmooimgUTtOSoaXtnErhi5EWrVj4VjafBGiAMlpxY/MMUZ6jiEfqloXcdZrSjCESkk5KMoCoAIK2Wfw7PBolAhSPaNKiDR6dcnDlEm1915Fip1SLtaFYYQB3wNf6xW3czcNwo2LMKYtsLAaxSx13zs7Y9AMvX14x5xlVqIlWQEvj8oWYiKmj5tn46cLd8zOyCPvDEUTBvC4wd+sUXGvb8WUeXjV81UA4KTZJOadBrak1EmJzhpbNa4e38fjXILAa3cc1ZtUYaGGnOkv2rHFZo6lLLVOTzGitn3MdAWiSjTXx8hi5GTMiCUmRIKruUkogiqizUyY+++RDHj74CeenPe++9yaRyvHFJVJnXZ8O3EScWWrvpJMe4POGxV55WeVGjapV6y6sFoTVvUIwXeXgYE7nrpRiUdUFmIPTrOJqj6HFiV77gO6hRvuxB2+dE1H+fwyhNVhbIpGWVVrZk591LXZIWAYmtHHwJ+67xCb1TMeRLJV+GMilMpesQAED8FUIaWh2xqMtIt40xBw3qj5zXa9vp5bU5vhEc74X+U/bsutIb7wNMAK3nUV9K9GMDFrkqTcK5PnI7lrTtk7503MnWBGiroPlmRYH1PcDLKDG62YEUZ18sDn2NRKIQSjm/NdGN2uHhoEOA+YasbBaJf2R4nVFQAzCpgtst1sOJo2XralPq6soZj+TF6OqS+oBF1XZsHVbXQMeA8zaat6zp7VWSoZ92bf3Xb/7q86ng+71f7fTsk29FqlHG+wYoE8nTLly/BkReLdTvi6GPjGkDdM8UUqm61TmVaVfrRmTOaoKmmW13huGUBpjWOnD+9ekSJf6hZrVaGKLCITYGnbKXsQDFImQIzGO5KT0nhwqVF3tXRDdAuIAtdPzmEIsqJ3zGpNAG08/21SKNlEo1JLpm4qHnoNnd8442d7h6uqKyRq6edDLx18zYZkQVba6iwPzrOpMC9hcaj+Uox2RUM0h9mpJt1nSzkYPOq4MThMEWAcobwWAVufz4iA4prjtGKoSWzD/3UGjiRDYmXZ9fY2r1aVQrQg2WlBVQXy0c1CZBE3Px5eZjmej37jt1bNVBHKTcV7s6NrievBPRFbOADjt2TNK4zgZp7xSgz5DClEBXIVgtXynZyd0XeTq5TNCGDk52TBORnuz+2qjON3rZlmtvojVnKgDIVK1zrEIJUuzc8t8LBgjmMCIcwvmeebi4pJcs9KMTI5UzBaXosIdenlWoC5BPZQp4gOmnZez1jaKOdCGJ9cdtf/LzrRXry8M4qMVyHjLWQJagNKAgYK25JJILQViB+4r3iEsTXOWSC/WEbUuQIiFt9zHjhQSw7Bhsx81KhADOZgfFnVQK5FsOrYtAiq6FcUr93T2tDDSvWFB80O22PWg0s3hB7kDdt+IfeqIwDRONlJrp6PiVeFKITK1kWlinueFbyieSl6OcQc9Dq7deAAtG+L0EMDSdwsQ9bHFxk4P19uRAD9waABYcOe1PVcVGyelbfTDwLd+8ZeJMfF7v/svqPO8Gjtf/ApU757f4d69ezx5+BkJwRsOdSkq2CVQ8sLJazyJJssR2xwuEVoFNdHVkKCB8FZQ6aMoy5gAtLqMNsr6uSJOG9Fn0K6UkVmyHYA27is94tB4x4sDpLZ7Oew/F4XxiLxosTUCs3W3bMa1YM5NbAe+lJEYYdxPfPbp1IpxI2pYq0dEQnvRlg6s1bnrfvgs4M/3hhrnCLLIkaUQIBllzVOtVR0LUSkiywSFxueVqo5ljJaGN8DQolLueOGGKiGhtMMbW3fRKTQiiGeoWM+lyyIuhaPukHiUfw1ynUtd/F2M769rvzYHba4KZvuu4/R0y35/IGenfijgriGQuoE753eRXLi6fKkAXpF322u1erZHD0mpQg3L4ezvigjeqVkddJ1LV6+QEJrU51KMut7DZs+aFGlohYFie7KKx6maidJxaQ6f7XFf6bKuj1iB0+Bg3iOcS1QOIqenZ5QiHI8HlqZF7SbNyVFA4jRMaZQadwKSkXu1zko43W75+je+zqMnT3n89DmpS5ohBELsqWWywlk/zm7rRpuVa2eKm3/l1CejBvn41laAlpI2MCs52zJZHEkPurg4Q7OVmL2wItwUCpFKF4T33ryHBC2kfeutd/n4wWMOc2Yd6V3vS7dVuWSjezj1xIrBq9u0sALqEcQ51j5P6gx0lnkqbodsLKJYN93qwaSo+9miOTF1xmfWva97ObZaLSnaiRfxzGgwipU7cZEUe7NPui5igE4yKURGr1nQL1ebZnvKJUgj6lj0MXD33n2KCLvDka99/et89as/x2/+g9/ksN+3BnK679d9B2ILwM05ayZ9tbZdiehWIbo7AgawPFDjYwpy6zua7Y9YIEtaimHNv/e9tc54G4Bqz+4KVS2Sa0X1Oc+41LLIur5rEYWgrrGH/p2eU555NWdMtO7Q/3bdfDHYfOdp1v8WzzTbIrV17+O3zp6sHRN1BvR5xnHk8ZOnil0MLAcCXYhEMeWimiBpA6o8Hyly5OtfeZ1vffPn+Mf/7Cdc56PScQFXMfT94opw3rMIEYbNQJcS+8OhcdpD8vfzPW2j4jjQHdjquDQw5nnZUzXYmRbNnmmk3mmBiv0WpOH9KaosjdVUOnoZR4SFNhVWNvcLXH8ITvwqJe8v7P/BYhi9aZAvQBH/nAMe+6zTFHwggxar5boU+ATbuEh2xKV8xCKUIJSoR0Ewfq2CTWvE45vGDhKXYdODxQ5wPBKv0M98EkvjJzprUuObG6S14hUz3PM0LQO+WtTtIDS6jW/cKUy3ui/6mMErhtUNQ12MufPbsDH0Zw+CfUdph2YDjz4nK/UJv9aR7UV5Q/mCDpyCeaQNoObCw0ePqAJTcW10cxbwg9KUfGphmkctjBRNix+OByqmtS63eawNlASnEiwHrxs4NYy2Hg3sNFqChzJWIDWsIiweaazrQyzgyp7W+S6C6MEUDRh6W/UuLOoOwe5d67KGlq+/TUfwX9m51uYsdUn7GORaoQgDhVQrNQZyUMcv1EqSSVPPdByOs0pgWfrOaRwLWrL5DKrj3qVInhV8h7AUgS4GSzeHg+AG1GynN2BpIMwjQiJF5esMnAeL2jlns6U32z4ODTAI1gUw1Fac2t7FHsIFM/HCK7ch5qzFqIV8roktIq04yyN7jlZTCjZe3MpC6aGk677UqmnbEDSFe31NrYVkjkPf93R9z2GG+2+8xa/92p/n+bNn/LN/8l9wPO5MyWCJ8Ov97btE11ANS11HA8k+J1FTrADimY2ugwBzWXjcfiWn1lTMcQ1tr4sBKvFnagvTaBE1mF30wIpHAZcIVWs+FpY15c6AZxw1Aq+OSkyJYXtCyUrj80hUQGgpa7HshTvkKbT39wY8MUbT8dZ11yWY55GXF885HPeUmilEQuwQCaboEazR0bKv10pF/g7OU/b36ft+BTSXeStyO3vgmtDqqnhn8NrGTKo0hxZYqYzoHHUB7p1t+JVf+AaHeeI7v/9jri4uGI9H5StD6/DdzKlPtM1jfoXH7QX7+tzgEru+BoyEirSfc/rXEkDzd9Yz75XUvZ+biFEMEykGIkr1CQnSkJCcKdPEFCFJYlvUqRhD0bgAasfVbOseTFVI88y9PnHv7j0+u7hmdEdTnFceG75QYKxnfdcl3n/vXSrww598yINPPuLZ8wv2+70NnDoYhHrL6VWnLJL6RJ2skPqVWqqlPkofZA1OS5mbQ6JR4Gjn4zJktd5WmVvswO1eGOt/c0RVfSLb5XvRfhf9Ka9P80xVswliGWOverW1FEw4Q8wBExFCtSClHXDqiFg4ygBwrbXV4Ph6lFJb9Bmz42sQ/2rWPISkjHc7H0JMGlwNUfukoGt7u4HTvuPqZs9YI1U23OwPUDOd9AxxS51q6x+0HqdqmYbN0AMWBHYKcLVeMgTumGrTPM3gPQbWeI02jCvHYAlCSfExd9uZGg1Ns3eLLGm7R3VH63ageoH3YcF2BuSj1be47PAXuf5QIB6MYo6oLrkVMPKKJyoWzXQfRwG2pSU1XKAHQiumWEWubaFgxkeIBLEIiaVCJQjddqBOpnkKrXimKdaExXFAsOjUMmjRULs4eomJbuhJMTGNqiqTqzoL2nLXihCq6W0LS30Arp7wyliZVfUCWRF1QmAB2fikSlgOi4oWxcXl+XUzW6Emq0ORV9Lq9sf1gWYWFMuoNfpCrVXVP6BFS31eQtLF5A0kfNnN88Tjh5+11HyKofHpdTyqAjAJTPsdz/c39j0KTE42roqgxjIGr1BfG7DQAhPezlmVDXQcoo+tTrjhCZcgY3ECo4KBV9VLbhvQ5Q8twhkszZ9oht5TdVGWPgEBBXfr9GHblOF2IdryveqgDKnT2pE80ZkmdKgmH5k0KxPMM1epSI1e1CIEPPpiRbZG/0mWIRuGgZPtCbUI+8NhCcwhrThQ9awjMXSsJC4araGaw+aZj2KGPlgUO2eTibWDLyB0UXnFIdZF3i8scmsxxua0J5MkM0l+jfybwypBKKjcHVV/uTSje+I1RKqGvNAC6tocPVD7U61tPVEzblgkPnTuxINrCaekKfvZC92KJlN7631wMmxIfcc4HaEUdtdXXF9dako9qJ1C1HlRxQGLOPr3vHKQezDDPF8r4IRafI1Y5iYskS27UzP0Qm1UkiBo9BMHdUtEze1yNVpAey7xGHpsASEPQERTiqilkrrUtLKVbqUZL1WmskhwhavL6wYK1a98JRNlEm6YrdhsN+QyM03TLce3yiJBXEQ4joVPHz2hAGK2V0IgdT13zs7Z7260iDMv0fxojqzU2vah05L8mo037o5MraL8dfNfxIUBfG/g4M2zbM7JXamc6C6DIKQoDH1PCpVpynz4yWccxpHr3YHL64lZzCDjAFDvmSxd746x28N1FuRWNg2tHQFVGmur5ZWgwtLRfPES/OyNZu9rrVTv+msAUnFTpbqMBoLUQplmpM6QLIJbtat5JUKXzNaYshqrs9bHMybSZgP9HpmDAWc9w6UEJEx0EQLJjzCOU+bDjz6FANM4cxgz19cH6yei8+E4bxGmWGoKuq7Tea9rsO1nZcCbdVkqvo2xVOzs18900TJmteiads62BU9ahH51FrwaQGvF1TERqlMpUAW1uDgxgKmFacAnxkiXulvF0ASVcK0E5mlSJyisSSN+RruTbuNqykEhSnPyl4yxOz/WLTmt1L3a2C4A1dka6/cMaMBqu9mQRRjnbOe04bAU2JwMvP3WaxwfPOCwmwlo1/BIR2DLg08v+ezTFxxKQCS2c96ZBH7eTfOISKDUbA5rVe581bWma2Opn4Ha1v+reNmzqY2tsHbMVsGJahnj1jfCJs2lt3VtWebFAyxtPlUwobS6AM+OfvEoPPxhOPGy8GljiGCLNxqojnbQE8RCNdVKKKQB677vVEc2Z6jWoMDvz6qzGasDBS8iMKMmQi2ZaOlEqUtaNjTHQR0Jqy92WIW0P4sV4Dqo0Gjz/bfe5u3X3+CTH/+Q3e6SAlpcO68AZHAlDp151fmcLUqVmgKHe9i+CV/dxGD64g1MRKXuECAu3m9LUdlnqm8yHM76Gzo403nSokL9fimVlCIn2w3zNAFCnyIlBpgLYoUhqlW7fs5g3jiQ3LusVDGvM1jRik1YsYgiIvRBOD89pYqwG49MRfmb0wylBMAbbusB4JEEf2extwXntFmaDNTo+EEmQg2e4zHedUhtTFQi0yOfDqBCG69g/ydidCv3gA08VQNEHmWx8IdNvx7gLTJmmzam2Baxp5CrKQt4FijnQrbn6aICnUJgNsHyhO0tg15GZLY0a711QDuA32633L9/n/c/+IDNyZaHDx/yyScPDMAub+xReW3Xro5cMh58FeUophghodEEj4KHQPbCOKumjDEydHCyGdgOGw7HI9O8t3fX8fN26qrEoUAkGtrUBJDaDLWDuv5jgm7oqFkoWaNJQSKBYmO85ezOPWLsuXn5jCAT1IDEYvcNJFMWLjKZwxipskioimhkz9dysGfxhjrVlDOCBK53e/uxyNXzJ/wX/+g3yaUwTSNIwT1dIWhKPqlT4vvHo+U4kMILoHQ9+7nWmTMqtWg9B7SiqXYJjf4mXsQKxge1XeX87RBalDXhDtdyIEXfb04FSd4QzSLswXoFrJRLTvoNERjHQug6xrlQclEutAO0sDgSZ2enlFLY7fa3AjQxJFJcRUzb64k2bkHIFSR2SkeqaHDG5m7YDLzz3ts8+qxwfTlqpM5sX+p6Tk9OmOeZcRzbvX3ebxemRrTAeSmEbjRC2zMpuIzwCrw4L1xk1ZUzNt5yMB30MWs25fjwgirCWJMf1eipoeOq2FrteWuGVDWbIhaEmidT5rKMl2EtBVzK+dLjdw1CzC6BOcsNnOp6SQbOIkIu2d7Fbakshw8+Hh4TcMgBgwVMSk/LrqlzHCEFSi6NQFUrlNhzMVcunz5nEtE5loyQgd6+G6p3aw8K5OccuLxWeqEyZishFMuiqt0o2coFHQ94YE+qZW3Bs4PaQM4zUQt8ERaRBF83KSa61Bn1S8+TFATp1Mbpz1oBvdluDzK5k7DOqOn4G0SMUVeDLBlF+yGlj6agjSNFAyP6q9AlC4iG1LKJhtSQqnV5li9r+zI0p0oj8ktdWtU6ALdVZhMthm/jRgP4xEULHXMwowdQgx+VhTunA1/76nu8uLziyfMLxRiABmAiVzcT4/EJx1GIcdCML4Guj1qfMmUNFhoAt69e9nOtjNOoPTNybSDdAXgFDsfRAJUzRZa6CmcsOKURVvcWMVldj86vHT97ySiGIyvOIBAbbKfo6iaNLcCofR245WjFTu2Gsz2+6PWHUKexxRQiJycniIimsAxw1ZrNACZbCDQj+CpvKqMpELNetzbaerBa9bdY10iPrOTyiiRVbNFW9STFim/CSpOaBuIbTQdzDmKElHj9jdf5o7/6bQ6XFxyON0RL/VTUy53zpJGvtHhctZa2uVwDePkmPrco2niKWKf2VUFZWP5t8eSdsx/aPar9vmx2k9ZymBYjroktxuknqt0pWQ1FzgeTJQvNI3Td4zWnTZ0jMKi1OHJ+f+OizuNkcxCJYpHNUpi9RbM5S3OxZ7Tx80hSShq58Z9t47haF/rdTp3SAy6FwNn2hOM0qVFH10kQlxurragvWjW5HtJesFbN2AgxheY8IdL45G5Y2x6276+1tsxKCIuzqVxELQhy3XPtHmoNmKo2d3CrmGzMS1EuaQqxFXyFaOwh46OrdbR9FRQIhBDZbk/4+Z//ef7Un/pTvPnmm3z40Yd8+uBTWgGwSHModHwFrAlUqs7jWzIYoCn+ViRpg27VCDYnwtlJ5M17d3j7zdcY+shuv+Pp88DT5zdk65Dqa6ZIsSxKx9AliMKUi9VsC9JpcWssdgiXbPZhoYvoc0RSt+Hbf/Tf4M033uLv/a3/J/lqIoZKDoWYNvShY4iBsQi5piXavKKjhRC0eVRQqTatF1ii9IS4ksFLtib0AN9dZ8sECEGqReisQ3NY7R+jfMSkDdCqOdUVnw99Mz0sqjpMtgYXa/Uz7IiIBVGi8d7Fsmm0IKIHEpY/275B99RtSoU5BW4v7f/dgZ3zbM8Kx+ORFLQh3r37r3OzP3B1fbOAY3f2q7Zqd0nGFj22pxnHYzsrWnYs3ubdFnO6RTCbb2dJCMzTyONHjzgc9u2JfeyqVHLV+qrWMKit23Dbxtle0680B7yBHdsz9mcvH1kwln7vok6zROprqYxZO8mmZEEuHdW2RiLmNFmot4UWgjoOqt8uEBdHK5qN8Vlenw1uu/yZHEw3KTuPQHsAQKJ1lgzGj4YaDJip/9BsMOAlnnjQzbnBKcb2Ha20CZV09EUZWNaWhEQWldxs9LdgUUupRos9aVngFHKzX7qXAtU7N0sBOlKnvUsUyFVlC9j5Aqgcac5Wg8NqHViBJ9xyjm9nO2iOgGecuxi4e+8u9+/f49PPHnI4Ti2DFdpM+mcXNaR1TYwGh+pSIOsOGb489TlUrjqYcwZ5zlbfAykk7VdsBbmtazbmjDfHeqHVBJ8T/1mdFJu8ao7TrTdoCdvYPMXbl9SqEsn2PVUsIz9nHj56wnGa9ZyNvTpaRvuap0KeTda0rTCYp4Vy6PVVtxtP6vPnUpi9A3VztL3A9PNZcHcu7F+hLM7uqwX9nk0sRdeRK94s9srtxWItWkbfgrQxWFCHAMXsIyoBHEJqP7uy0p+rk/lXXV8YxDuX042/A3YszVOLeiOhDaL9rBmhlBJ5zoDYxvVoQ2ggXgfN2HAr7eVbVB27f10ZrvVLK/dqMReN8+eDYxu37zukFua5NANzvLnh5uqSGk01pUZC7KGPqn+cQDQWqaoZTncBnHsqBqgd+H7OEPifVwbZOWZLR0EDzBahbpuvOSRuYG57jqCNtpwq4xtJbDPtjgf9HhurXCse4dDF5FlBfwdLGyH6fkbxUVqCfra9W2Dh9AJjyYx51iJl7ODCALRnSuwg0T9UG0v7XTRl2DalH+TSbIsBEm1qVUNlQiixI3Q9XUoc9zu80YjvNTdi6/XmmzMQlsJPm5eu6xq4qyVb7YCqDt1yPOsS6aU96zI/0fnzomuj3wwavSymzx8TyWg0iNMQWOa7FVytoIUd8sOw4Wtf+zq//ut/nl/+5V/mwacP+PAnH/Hk8VNKNtlMAfXmXBVJoGb6YNErqWQUuKcYFyoBNDoC2N6MmiocusS90w2/8osf8Eu/8AE1Tzx5dsXZyR2uLn9MniYS0VLAlk2JSaNztSA109WJe5st/abnuijf+SzdYZpmro8HU6XplrG2dSRVu9XqOGvbIUSj1zVu6E5Poe5gzpAT2mMhN3qLG+lStPeEz/kw9BpZLcUKoITUdWyHgZPNFimZ/XHP7jg3mdi2EIPrdWs0Jdr61hbgGt33ltp5zjhlIpjUmYJP20+a4ry1/xssX+35ZgvMoWNVwNfWn7DYpmavdE+blWxc13UE3u2y17m4S5FroQaNrk7zTDZbYf4HAS0trbWSs3aJXNvphca7qGt9jm60ClxUX+s4kNJsZJ6zSSkuTqqImMRhYLdfwL0rgrkj/mrh7mIL9GpqaquzA3uG5vyvbPvyWWlg3Yv1tbCvLHMYXPkKmxu3HW7fLUofljMwxagZR/Mi1ma/nUJlmXOnQDjwRJrJVGdB1Alvl2GIvlOucl4HhZrzZaDHbGbqlGpW8kyeZuwYa86SflVdBQ88Cwo1GDrPAZGkUV3LnutET9QSidKp4k4QUuo0UgsUyah6jRioqpSCaW9D64thc+XnGq22hrYWlvVGO5fE3ntNF3G73HUdKllbeeON1/jmN3+Oi4sXHI9HXKc+BKOarsbCx3J97yiLmplnf6Q96moPVlEu92r7JnNmA1q0r/GDsK7/X51nGsDq+4GSswUWhJJnG6uktQSYM1ktcxxvSyT3qbuNRZwC5HvAl3gDtZGShctLlSG9c+81huGEFy9etMaS0YvS0LUjcMsmKOXWA6PC4jCvMaDbF9qf19cyB/WV/17e4dZ8+7pxR3j1OVkeF28iqmt7Ncdut6s050pthwXV2jpcWB6qdhQbPvvXrhM/DAOgPMKbm52CGoFokVwxioXSXUxCsYEinZRSCjGFtnHWqRj3jPV9dLPXUsC5nSujvhxqtJft+964bsZNip4qMsPDbdDvpjkFjRoFKTx98Cn/4njg5eGabLzTk3v3effnvsHjTx5w8+J5M8opiRVsomDfvmId0Vk/5zrCJeV2Rbv/+9pJap95BcC3Jw+hjVkIgZxrO2Baq/kW+UEPhQYEQtssbtw3mw0iwjyN9oliVq4l52jNmYKuh4IwzTNlLk1dxZ8yG1gmWipY1HHabLYcx512Om1zbl67PW0IwZSPFN97ZiU4mHcXLUZyLVxe3yA1UFNH2m741T/xJ3j7rbf5e7/xG0z7G2pWKbCmxfrKpvWU+jJP0jbmsNk2LrB2qV3mYznEl0MDpPEOPYKyUKn0ybuu5+TkRI2+aLZAFT0chOhzdZ3VLeSZ1p3Qnt+zAykm7pyf8/7779P3PX/wB3/A7/zO7/CD73+f/W5nDlxb/S36QS10IdAHuHd+ysubPdnkrkrOzcl8dZ+pnCQQOrp4wpv33+Sb33ybv/AXfoXHj57x5O/+PjeXBztsTD/XPKjlTsHkumbubwZ+6YMPuHt+h9//9BNe7va88fo9rncHplq1JXVeFZsY6Eu18PCTj9gddsh8zXaI1KL2aCyZ3bwnFuuYXFTtIATPyCzzPo6jdoFFgVTX981WqVqHHh7zPLMZBt584w3Sy8D++ELHVALD0DH0HeOU0U/UpdDVqUkGokUgEVphnR+ODWLZz7XDUDSjWG1V+vh5bwylzwjK+42re2H2QUGhf249CwsFxP49hEZ9vJXODUuqWYuPExICcylcXl0yr/pYJOsxkK1eYnEAXwFLjUO6RMbXh1+zj/bEt4CyrSmhNOWe4BEIHzqj9YnQOojrzy0UJT+H1mPweW1stE+Cfdat4aIJLbdsrTtPXafN2FxNxFvL6/c4wcGdrUBISetvVt/tNLoYApuhp9bCPC8cWx8/D6qtsx3repy1xK07Yy3Qig+phllUStDO5LjMB1HXRjWHMKXUMEHfdYQA0zSRczE75tHlZUwsXIUqe0VtCGjr0Wvt3M5FAjFoYXkIkEOgH044Pb2DiLA77o0a42ecOjhKk+0WrIDXprnNxpzlJUOowbhqfHbHWA6y7PlWazhX7Y8gVB49esTl5Uv2+wMxJIosWX7x4FDQ6Pm6sNodK9qoWKBGFkDYApYGqLWTrJ5BUar2E7H+PVjxqHYIpD2zR5j13PaAYQQsAOF1K2agg9UqVTTLQtuLLEDb9qV3pfYAmFNK2nfb/s9SCXQQgjWVPKJ0pKr1hmZlHT/o2detzp7Q6vRCMFq2qGOuAQLdm4sq323tfpeNxub21Wuxd+GWPbjl1DdAvdwnrPbQEn1f1kvDTSIatHll/F61Py5ZrImOtU35V19fGMT3qWtp0Wo1ZFr8lv1prHBNwHjjyt8ujdoRosulLRSa6tx0N9hGl4lRCyWqVGO2mx6nRSTXXuqrUfoAVgdpAxqcH7hE6/OcOTs9ha6y32tTpOlw5PGjR0ydFtaRIm+88w6//u/8Rf7p3/9Nvndx0RZ1qWVJhwdQ3uLt6Mz6dzDv0g5wN7xAaxOvBSuJzTAQYmS3290+vGwM18VyQLufy4St/23tFDi3UTmTwmqZEYK1so/eyMrmKgjJUqZi3nXfdZzeOWN/OBBybmBDq9A1EqkHaVqcqVIpNTNOKhEFCRFvUhVtd2lEW6/FGQkOLlYgpnmzqWuOWjFAVFOkxkCNyiN0w+0ERI/q+Zy4cXfE0LhtqPrQunOv04SWOTVnMHlxGo2y4eO/1toGVebZ7/eto652h43kXNr9RCrTvKhkiDkWbpTX1khEePz4MZcvL7m6uuThw4fs9vvFeMVAqMu8+55AYBg6Xrt7l5vDkVhiaw6jbc1ZDh0sHR6hUIiho+u3fPDB13n/3ff44Cvv8OLZFV06I2cFcVVY6CFBHboaoIRA7RKZxBjhcr8nU9nniZt55sGz50ylELpBKyfKZHQmjRKlEKjzkflwTT3sIM6UftDajpzZMFNG5YbGzNLi/mc4zsWatoWg2u6zRXZ9rmspGvEV7Q4aqczjqHtVF5O1sU+kpIWgrDjsAVRzvlrWBe1wGlZrzp31lpoVXXtes+NApHhRqANRj+pgdtIpFzZWybtArQIXa+3q9Rr1RkE+5wu1yoAXaJgrBFovDaMaNvvikbIQGx9ZD1zb235GhMg8T7QI52od69csgMnBn0e8IqF1U37Vma4rAOHv1Q7MqM/Uxa41cQoui5gW++qOlmckWibFN4K4W4GdhbcjgtoFVjg7O2Mz9Lx4cWHZBqXrCWHJVttz4YBgtT7taG//Kzlzdn5KyT031zdqM1nqFGpdnKJXgfvtzEZEoqr5bLdbggjTURXTMCpZk3e09e1moEGqEJoi2Gaz4Z133ubs7KzZoDyXW3ssrLj7S1Mwd6hm07ZPBuAzURSY3D1LvPfOHZ4+v+HikDg5O+e9D75K1yU+++wzxnFUGm/2d0+WKTUVMR/j4BRHnR+XFPbsruK3xUG7dcniOq/XaTVMcrM/cnW9Q4AYemSVJQk1sBkGui4yjhPznIldauPbziUb3+bA6WJ+JYCiGCZ1gT4l8qRqOa/dPUcQXl7tNBusEly3QWxzvjEMZxglLzWI/kDt2Z3WZqyJ1nV4BTojcSUPLM2WeTS5OR6qUaPO137X+pAErOeEgCpmxTb+0YJ/ej/tCVFRB9YFFVrAzc7YaplRBex+Bse2/nzu2jpcDX6L9Ivv44gr3/j7+jAt2a64ClAt62SJ5N8G+aBCGCkljpMGjm7LoNp+cZf2Z3kcP+P6wiBevWzjoMW4WuqLB1NLIUXt1Kg/sADnJosUwqqLnL7U6WZLSNEi/Mq1RKx7m3tIBjQXz/Z2oahHS9ce0VIsRAtQaUQ12nNoVDJHpy90zKW21CtSefroEb/xn/2/uHn6DJGMlEKIldglYopM02xjoVZKXpmYdepHm05olf86VeIRTt/Iaz33VzMQoOMiSOsc6AopgdspmLUhFYusrLn2yw9WjsexOWHmkxlg0IFrjrhoNmZ3fUNe1wC0A1WaqoSIQIEupdZlbaoTKbh85wJ2VGlDzLNfQIcai1cig5jNETUPcRXRKMeJ7/zTf06KkemwN6cy+EC3eVoiDJFiDbLSOnUnVhwZI1TrW/BKVkhkvblXm655BMv8rg/WKoW5Lqm68/M7nJ6e8vTpM6p3RvYDxYywOsnLYbqoZFRurq/58eGgM1pFG3CtD257nhCMt8+SmjyOEw8+/YypCsRhoVOsuYGhkap0Hkshl5mQKnGI3OyF733vM77/w8c8v7zm5rBXUJgsQxUBtHmK8/tzFSRFdqXy4ydPCUG4DBWhI2RN90u2pkFBC+I7L6gvlVBn5sNliz7lqSCSGXrhj75xj23o+eePL7iRSE+EqEpW0cC5q63M83xrDl0ppe23oOAwihbkv3jxQpdQiHT9QC6Z4zhqa/YQ294OeGChrlrAaww22C9x1Qx1j4ghtc8sfGarJ7F5FLGaGFkBx2AR1OIHsYJ7ifpvTqF5Neq83W4tmqWNRzAwfsuOFnGO3XLIuCMUtAbAt6sr1rhjAdKoM/o+aqdbf5DVHl8/13II2v73vYZvX2kN3dZXNM6xBgZY2USnCqqsZAg0uiCBdn9XknDQLjaHTk/EDmoNmNzOYritj8aXzvNENW1pr4VZAPZi61vsoBSj3axoPm5FpJpdhdh7bYdY8KO2YEdK3Sv26fZ8t3uK0A0Dr71+35oevQSLYut6X342+GFgYHYdISylcDweefr0KTc3Nxz2+1vzlszGswIzOr8VVzcTxOy41jJFKlGELlR++Rc/4H/8P/qr/PW/8ff427/1Y87unPP+Bx8gAk+fPyeYQh4NkHs2ujbnte97YgzM01Gd1WIaTZYNAC9yX+iDfua1eqgWZFyNZ1j+zjXyKwvv3Y4kSqlstgMnKZGvb5oz6hrpbpdvAeTlIeyZiz2HIJLVcYzCdtjw63/+1ziOI3/3H/xDJCuG8b3RgpsBWyfm7LhikOjvKmZQiCGqJGN0/MYKA9BArj9eXOHAhrFWe8Edib7vmUs2QB8MVFdA6wm1ILa37xY7k5fAl4uPVMOTXhzsc7PGN2pz1O7ov+lnF0yo94gpaS1IU5+7neW3N3nFAV6cbX0+uYVrZYX7/LlZ7UdYbOur9/VxE/7/WNjqBXzqnLu3GVprdU8VaTe2ZcK9SM4XVIyBLvVtkj0aMB5GatZGKzEKXerIpWh0WW4tEbxWz1/cf3/Vj/YIrj4XxsGODezsrm8wpgfESK2BFAdOO5VWnKUy76549BPVga5lJgaLvqg4DjF0zcD7I96KqIg0SkGMKgEVzHPTgTGj2nUN0I7j2KK/a6PeIu926Itthmm2glsHqe4sxTXnKlgEfA1UNbJJ0Mr+oe8oZeGZ+sHrhlEKrWg1BJPZtGfQYdaFHJsUlTGY5bbBgqLOkEgzJAE3Fr62TNLQt5d3NvPT3AxfrLauQiCKKODe7XV066xgxoyqMhiUXtL3PcMwkPOERxb9oDo91cLtcZyQatFxA3O5aMFaKWKH+xKV94ihoaxmzDxytXT3C3boKrjwvZXzTAB1bqLXEOhnsj+HATQtetP1Mc8j8zQx9AMnJydq5EQpIKVaB1arO0g2htEA2ZyVwykx3XKuRRaD7bzWWqsq6pAokjlMV/zowx8hsuPjTx7z2WdP+OlPH/Dy+sai/saxBHzTBpvbzqTCKsIUAwWhhECKnUliqnxtDUmjrpRGPVI6W0RqJohG8ELVAuFNCvzye+9yzsD3H1+yk0guwTJ7esimlBY6k0UwdY9aJCnpWls3WQrVDwotvq0FutTTp45ZjtSa2xEQQ0SKzVGISLFaIIRA5fV790gpcXF5QxVVKhKUOx5DoGvfkfWwTB3b7Qnvf/A1Hj1+zPXVlR5oFk0KodJbPYUXTYrRSdb2t82nGIXAggoBzcK1gyWGVnDZPqdGQAG0rXfNAGq0zeXyxLXgcTBejWq2rHuPoPnz/aysZbOjWLaraV3fpo28+vMeTPJ1qw6oq3kJ82zUqVVEeDlLrPq/CkQtZu77QZ1847RvT7bcvXuPi5cvjea1PLurDYnAcRxXogpmm80eNL6x2xwDRC6Nom+talUa1NE5PhyuFdBRgMFAh9sUVVoa+g3H47EVO/tcO5jw4FrOM5cvLy3wZIXWaBQw3MJw4dY5FFtQYMlW7Pd7Dvu9jbkulr7vlwxECHjHXG2AZnrjQdd5cJwQ/Fk00PXi5RW/+y++y+NHWtszHY88eviQnCu76xsCQgpo7YDZxtSFpnLlTpDg7pedQZjTVr1we4ma3sq4WCBHAZmfXW0IEXEHeYnG+mKy1c40j7AvxNi1zwVYbIPf0Z118XlYHNrmSJndu3N2xmF/Qy6ZH/zoR0zzTK2wPTljuz3h+vpaM10snG2q0o1SEytw4AMhFFKfOT8/ZzzOjGPRXiSWkQ62d0RW7xcCIqoCV210fYB0n3kgCUrNbY2v8VpT5glLltvr1W45T81TEKvLu82J9wDJq0B52d/Lz7pcsyr8LZgtRs0qiOMJOyv83n6fJULvz23v7edDWAVoV3+ndEdpjAv/9Splxu3ImqnxX3V9cYnJsETRsxfl4DBNN2Ey0FjsYHCVFDAWoBmWybqA6WQdl8PERkt56s4lNkPsHlMVHWgpt7jHYbXhWiQgxOVZbLb8Z3RnqxpEssjLyWbLnZM7vHZ6h0jl6e6S/WHHVEeGvueYhTKr3nnAW0OLBUTMow6RENKthaSHg0eefKHTnmedQm0bJYQ2yb6oygpUuIEheEGERdFWDo8egjb+yaNmSyZDQWubSIpkSpnbdwSz5l5MhQG/lDpS11EzFjl2qA1UK1qNGkE722zZpJ6rm2uCaLFgFDViXdezPTlhmmeOx9EAuqfQwkJJEDe/q/czUIEoDbCIgBTreGo/YsoX7im39LltIAXxs82EaLQ3JTZDT8mFsZYmV6UGJ2oRolWqr6UKEazYKSyyf684c2qLPcJgkqqi2vtOr3GeO0EpDilEUt8hsxurV4p6dNLVmZuOlDKb42uRwxjohh4pWd81KIBJwYpcU0dAI7klax3EMChAyPPcxvxW1MDGYp6Lqg4c9gxdz36/5/pmb8tXnbzIsrajHZ5BPKICJQaOwdPfkViVv07Q4sQoYrUYlVyr4RwzuDG6zhwSIiVEDhl+84cf0UnlJkykvqeWnkCi66HvN0zTyPW1apqXUq1gTpU0DAaTYtTMo0UnG+d0JSvYD1ti0uZQDhSVShIgRTp0/1T8MCv0XeLsZEuKiZvdgSzajjwlVXGJDUFJywbGFDk7u8O3fvEXmXLm6upKxQLQfXJ+doc8HTla1+gi1fSHQZxj7DxdB5YVRttzLXJmtSf6vRaEkSULk2JiSInZOh+KFLp+IG0S+/3B5tnpPrUpOqlZsPUYQnN8dV8toGBNAXHgIlUjtYFgvPy6Otxv02l0Dy60zNQayiyHoWdePvdZc5i72CFVmwtuhp73P3if43jg8aNHpl0v+u+woP/VM7egTTAf1ta+15IkC4w4j7xaNvXevXvM88jV1RUxKkUw2njWqgGWt9+4z8urS0oeVb20KBBRH0mQUilBO5HG6MXp0mgW667rdS4cRSPnraEeRiETYYlQeyBqKUBOMaoUaVjyua0JXtDn1WZ+jhPCwq+HRsEI0epTagBmA1V6Js8S+PCTF/zv/g+/QS6BOWx4eXHB8XBAKkzTgVAy1Ez07E80cFbBBqX1q4Bg3aTjApKDFnrmYhmTNdAPtPiDO1u3/rvtCqUDp66jVrH6EA1ugWZ15pyBpW7EganbxbDal+rUhFtrdp1NzVmY5kytUHPhBz/8CYSOXAMSCrnurcNvWFFZde11KWnWTDKVRKAnpEDXF77x8+/wV/7yX+L3v/ND/u7f+UdI1bo2ZO0wL3tVcZ1RrVZYU8zmN7VAEUpeDvDUdRaQspqQqE3uApGu66iiWd71/mxraLUe4Tbjwa9X6cTLzy7PjrjjYbVFsgB9x1zFFMk+f59XJLjtSl0HttYaQM/FsiKRrkstQ+KMxq7rbmUV/Pe1iMwXub44iDfaRr8Z2O2P9MkjK2EFwJcHWXNC11QCvZelK8UoIT5I5o31w8Bud63tsEOwdK4uGjeMTghp6RSdoQYCNaKWVpGelRFZL5BciJ1GybebE77+K9/m69/4OfpSePDgQ77//e9wcXnBNO11M4RIkEAtQtf3SqmZjzhM8aieGozU5tm/e/EYl4KVZaBo3mzrwBeiRgiRttg0augfMKOw+MN4ZLxJUApAZDMkMyj+Ne7MCNRCmWuLBLSq9rb/9DvcKFVRDrorMfhchEgDp/58TtM52XbcvXfGcXekTz2bk1NS13Gzh+PoY9iot8uh2LIJ5pCElZRUDITUMZfZ5Atrey38jsEdKWnefM6Z6+vrZgg8QlaKcHl5BZhjYGsqBHNUU4dk0eITmwc1WupYLgoTlmoLbgDUEVpH4ku1WJvZBAdwVZzyhRXTLhXryArkIEgt7kZTqjQlGJ3jRKBSS14ZCC20PNlueOPN1ym58uzZc8pxJudKDImIpZ3Ng2kcZwPfMZhTWODqas84jgTEpFa1YLMWo2/ZeERLXasDanJ7UfmK1deq4WWiNqOKITLExGxG3yO6wXitEAmdQNEUfAqROkc+mzIhVsZYCSGjHPFI6gbjb7+q17wYZc9uKHXQ8XslBVXu2Gw2TNNMDMLNzRUELAof2mGWS1GFFOtAl3rVPqZk6px59PCRrlmBXITNsKXvO2YrgqxVZTejrd15yry8vOS3fusfaifDlbKTRvUCpI7tEJhy0QLf4AGLpXcDvp+jzqFLwrpzGQyAL3GEYOZ3IKVBacvMBGvUhqgj/vZbb/HkyRNurl3wQCOXi21eRT8dq3j0LSxUs1t0gtVadwvUd11TpvHARjWgEVPnAU0Cuk6XwA1Wp2PF8zE16UK1N2lRiyEgIbXxu3N2St8nXvQ9CBzHiWm+IpdFhcoPfo/UOaWmvYxnKapGvKsUdRVFG3TFkJimTG5Sj5kqQWUWRa1Y1/e8+fY7TLlwfT0aZaA2Pr9U0WLxskg2NocNcyTNqdO/rhYMW4GeVbDBzxovovefafTHimaMxOX3VoG+yO371LrSKTeHTNRGpBgNQxTtIBqDUcfgOEfmMKgVjxXyyHRQG12KNprybG2Iwvkd5ZvvjoKW6qVW1xXsvi0iHyLbzZZ79+7y8vIF05SXYlfb+DGZpLX4WvTsSTFHzoKUUkmoJruUJfh4O+vqVDPaOIud92v6iq6fhULjuEjPCb3Xzc0ez197f5IqMM+ZnFWykgC13I5mVwuw+UYRc1y6ruP+/Xv86h/7VS4udo06qsXFwe6/BMQQafxz4jpSv4Bg8M946EN7ktTq4Fkj04EFZ2Sjn7XtL27njNrJgiVfpaGsu/yux71aZmi9R92uySpbFYBQLRvmrpUsDlcw7BNjoDemRpUCoVsCU6idKVnlhz1QCipS0falBUvmpqxlttjEVFpg/Ith+C8O4guVUDNlrAiFFLs2WTGIarPG24ajpaKg0Vp0Eyw8vkCghGgLFaZSyMcjuaqMZDBek4PWvu+RTqwr2Qr7xqgasH54sPCV/N4pBo2kgHG2F0CdusTdt9/m23/5L/G1P/snOb+ZCf/p/5VPHj3g4uaKMs9ox6POIkTVoskdZVbgsr1zl5PTU16+fAl1bmBTm8EY4AzJFpZ1lcSAZXCorFSPzWbDOE0E15S+5YBUXCqwRfgNlLeisAb6TVIzKTcwi1b0RzHHyBaKRyEaYI7KE2zZFwf/UbWzS54buHXOdg1CnxJiTkcplZvDxPEwEam8fvcOf/RXvsXHP/2U/e7InTt3ePHy0gBYRwnege6V7IQX7DXPfEEDngKL7TPrhhkWfVQJoZb+fTUK5166M5Y9SCDWNKpWsYZHuvEoS5Tb3DFcOzrWJXIt1CZDqGtNEPFUmgOLxfi0rrQrg66c6lUUAZAQVs6HcBK0Ocu+dOQUIWQgITkAlbnq2o0hESSy2SS++a33+ct/5b/L1eUVf/P/8bf45JOnSq2phZy9+7DTnNYdKXV+NFobGeeZfMwkY84E058XESKd1p2UxZgGW+/V3hsrqwjRCzVpcxuDpsalaOYrWPMm3wuaHhG8wrwKyj8PRr8qSaVhw6LvqxQa5+xa19GqgCzE2GiBTu+KQUFyQji/s+Wdt97m0eMnlJs9c80UA4yYM1bLjNIEAjVodH7KGSTQBe0RMJWAdhC3BjQ1U2c9FHS/mZOBvn+I2oXx5YsXq8PUDmWEF5c3zW5UUz7xbFZAI5CmVqmfNVvc9b29s9njao6RdcANXSIOJ2zP3ub1++9xc3zJ9c0j2O2ReQIJjMeR3c3N6vBc7FDfda0A0u1EEGlSkCsafqMIuvPuWaf1gdybctA0aVFsNkk2BNZZad+Vvn/83VumwL4oRrXFqo+ue0UIpH4gRZinkY8+/Il+rgi1WuM436KtYHPZn06pAe8zUVRRpAVz9N/nudr5GJhy5Xi100g5CdemluJ7LrA7TPzox59oPwOJ9n62ViSgZ5PTJFnsxaq+aMl6RFUMiQHEtMtDMMpcsSyqnh0eQfcI4eLwuGxtaA6+iAerjYKzGLJbUVQHnnp1xKg1BlJzo3GpilRCbD0HG7s5z41WmLqOkicE4e037vA/+R/++xyP1/xv/49/i5dXgVqSzbUV2oaIYA5sKZQycXNzqZRKPAtnNgZIAXWSBAhd64YbpCwZi6Dr9jjNStHcbKx4dNlvIpo1cZJpuZWlV0eo0U1tc+vcGB3WgHRAzzr9GcUSLfAVBJF8C/gFwwCOLTAAqSC2IjJRJXE8FP7guw/4n//P/ldcXl5RJRKSBnNq8XqMZPYJczLsDBQNWopTSLuo2KFiHrWCex+r4kIn0XCL0auoav81MLfQbvT7NZjlZ7lU62ocuCWn6dF1DxA7VdB/ZJ0BCW0/ts3S1pm+I23NYo5GFKGPkb4L9DEyzTNjRjXszUFLITbVpuPxqPNdZkSKnTc6My6tK+bUBHNmMbwKaGb8C1xfXCe+S8y5gKWLZpmRsqRMxaINCrbVeAQrCjTo0fatzad5ZNGE/K1IxHjHhswbEFs4TcYxnucVqLW0nCm0hOZxr/49LjrGMek9S9GQlRBUwiINyHBOvPcWc3dkHzoqiVgUX4WgLX5jUA3ycRzJeTJwqd3cNpttMwKakjGvz8CLG24BQvII+hIBCCGQusSwGfSwcimytWHGwNLqvxVsLlHlQDCzpDzbuUyQpRmQ2LzhYAtMI74U7yRL47a27wmGl4L+IXm3y1yoFAUDZqD7vmeqBSTiisM3ux0/+cmHXF3umcbM9WFSZyqq/FQKkWIODyv9XGLQsRIAl7NaDgR9n/Xa8h3qsNGcphgQWYpTaZ+xiFpKGkUNS4anlGpp40DNRQ2arS2PklUqJNX8Faxja7vvEglYZCyXCN5iyGhr3d8DAnmuFFlx8JrrapHCIfAn3nqdXCP/9LMLdjLTUahsCWGgBqGGrE6bHRjDMPDtb/8Kf/V/8Jd5+fKS7/3+93n69CXTVKmFBkQabzj4WFdC1bXuhUckNe4qDK6t5p2iJQhdTNSiUSvXBfehr6UgQZpBFmpzvDV7g1I8vMzAHKfGgQSoC71MI0j2vASo6iylqB7GNI3tucNiK9uYu3Pu0aUYAinA0PWEWihT5uXFS03pSzHpR3UQIarlF1W5CavbaiFVR0+kjFUPbjRLlwzQalDDnAlfJ+ZILPK1pYHlGIIVgpsjGM0+29X3fbsvtpe9QV6IASJ0g9Ym7fd7A3xoNLTOquTSnXF69wO+9Sd/nT/+a3+Rn/7ox3znt/7fPP7ke1AKgmYsnj9/3g5Dmwqjb6jD6qIDy6GowYClKM2jx06zkmXwdBsQCLeaRnnDHbtZAysu7ea67C2YE4LVL+l9q+jPNPpTcKcI+tizGVTycUiBacpInpEaqJKsKdzKK7J5WuxJXVLi/gI+o8GcYsSaUAldCgzbDfOUrRjXHEnLOmuWD65vtM9HraE5vdXXvdkFt9PuKCOLZnytmdSpMzROnonRs0WLYi0jUqs6wu2s8d9VJURCxTuuN1saQlPlepWC4OeGQAPw63NLDCzXbGsnLLYydR3Vi8NLxuVSA4FQMcUmhd9SAnkWYujp+h6GgTKOlDqRup451zbPyVSv9vuj0R99ry6OmTg+qeoIxm5g0/dMxxuj3tmoWzar7TVbx+teAB7kUZoSbQ1g+1/MprWMycrpYgUmNXikmKusgh0xqHOu62rJRDlGiiFqP5CidjSFZLUHGSFyfTNz+MmneIDw9OSMUiqH3R5XqEno2RE7tRkg2nhTliBVyxBZDZIXgDuOCTE1564zHKZ0UAsi2J7xvYgjw6ogTO3uIl3rTiaGKX082zoMNJu5Xps+T57gvn3ueqB0CSK7lS+1cu/kDh+8/zZPnzzj0dOX+oSyokT52vdgXtBMEUGsNs0oZKv50yZzS68IXfuLrPS/6vridBoJ5hl7FEWsJlI3cOpSW4RL6l9alHZJY9mhY0VEmhJdwLZHN1ej265aa/NufIAQVScJxpX3peupy+aoiS5ubcdu7xQCWEV5mQqXL1/we3/n79CdDPQx8ODhJ+xe3lBn/a7iB00KGm2uBdeCriLc7K7ZHXdorEYNtFRrDOVR4uK0CnuGFoMCX9B5nNjlYnQLafqwnYWt1vJRQAONa4qAp4xCghBVttO7OlLdKbhdJPK5iBILYI1xkXhyTzZaR7wmP2jOydAN2sV1OipwAyqJq2Pm5tOnBCu+C0XTwsJ861C/RckKXqBkz1jFnIyF87e+1vfQaGtq6hI/i2fm79J16sRoQycr6BVBk0RGD7BnKFG0y5tgvAWrHRCL/r0ylvocKouniihK8UgkA5iaTtafdyCvzp4CSmHJMDg1Rd9x2yf+5Dd/jsMo/N6TlxxyIahgukYZu0CNiVjcTdTC2ZcX1zx48ITnz1/w8uWOnD1C5uoX1Wg9xgss1V/T1poBSpEWTVBfeGlPvwakKQVqVSeq84ZIhWbQVXfb4yhqeKuGodWYyfqgXdL2yLI2lNqkVBxPHceQrGalNvB/y9FDmkSi1wQoB1vvOXQbpBbKnMnTyP4wK0gPmm5O4pkXrw3SLIZTRWKBMAycnJ0xH6+RIpS5EsSKuEIlWnYmpd7AJzjwcyCarCmbB2o8shhbHwfa4RliZNhsKLVQjrUB21IXm6mc+GOzlV4UHxBCVcAb4136O1/hK7/wS/z3/vK/yYNPfonxMHN58YTDdKMFcnYWKO1vWfc6lotd973R933roLpcaof18NT5SalrNq3vBvqhNz1/92iUhtKlzhzt2j6/Mq66j4pnQVX9RPQ8JWLNvVw9yKhxJU9Mov0TvvL+e4zTxCcPPiPvRoiqpBJTj1TVwPb15Hs0rXqh3JpHkZUN8j2iWTRV7zJQi6BZOZ27KE4NsDqmuOwRwdeyBSss2hhiMNUu2lnYxcq2K8Q6E1Igi0bxJSaVhawVl2OWKE1fXx2xmXmemh0jBrQrtcq06oHg9Ee5tV9/9vvTxqGUqZ1X/rMElWZ95513ubm+5vLywsZZFV/UgfboZeXi8pr/5P/8G4zzxOW+UKjEkJGYLSDlwQMhijvZJhQZFIMoAPTns59p/O3E62++xnsffIUffu977G8uSTFYtF6DMfM8a5ArBsuyl+ZcKoxdIsAWtWiAv0UYoa0jHyPNktiasf4qa8DowN98AqLQotDrDIiPsfrIalsVXOr7luJOhzCORwtAepBRv+D1N17j9Tde5/vf/74qh9XFnxV7dhdjCEHw40wd2tgcvyqiGu+iXYL136XhS2cpBHOyfZySBQmS1wDWlSPva8fnMqhD6A5Ry+C2Xal/8sCzj3vLOtt6ISg1KQASAze7Aw8+fczhsNf6UKMveYaxKZ75L8c0WIlVsCxziNovU3S/h6h1DrkUtpstb7zxBl/k+uJ0mlLt0FAP3HxC9a+qKjposwQ90PO6Q5397CqICHiKhCVFJMaltY2+luNxz8snzqkqMQR6k6TUTqr6WYtpER2v2v3dc/MUqljRaSyZunvO09/7bX77xSfsyszVJw853FyTxQ82bc8+TbMuWpu4YuMRKnQRMw7ait3btXsTqtaS2TjajddmURMRWqOZtthMXmw9JrAAkVpqi260TesLBaFK1ns46I0KBHVRaSXoXGbzIRaOmgMk1RDW59Bh1INrOh7x6FfqkgWUA7lWZJraxhciEhI1RDWudrrou+vxE0ptG7gBaF8HzUBgyjdL1GctMVVXf7c+KNbjtqTql4W4cM5Nm7ulkN0Rs+iwPXOJgAPXZCnNavrfFmnBaxZc3qqa7yQO1A1Mldq2RDvgPK1WTXdaNIrmx+LyO9wcMv+ff/E9SumYCoj01NDpWmNWo98imxUJkeM48bu/+x3+2l/7j7i52fPDH33I4aiUGwHj9msWSee9mhKS3Bo3goFLtXIMXUffd4zTSJGsYR9T3vGsVN91bDcbchEOpv5TSlarEQNUez+Pqji/slaIaWU+zEmIavxLyQRRedooEY1qowepL98VcGe11twhEqwmwMCfZsU6pGiTEjCd9aARmhQCdVJ6VfEIi4agCEAyx6+WSi6ZGmA4OaXIRMnSIvlrp/OWgcSdgtIUiwLLQeWZGXEwEBen93A86LrzcQpYvwcaPUuqR2N1T2M/L6IqWlkqlQjScXU9sT8Uoz0UU1IywF6EdRG5De6tyKRnclLsmiBA+hn7dIk4elDCxo/c6iKajQiBLnUEcotK4tlDnXDN1KwO+AYWRQhJqSuvIGI8In19c8NHH39MTF6UhgouiNClDWnYUI8j3vQGlqioKkR59lCWMW7X0jMkVDjuj40mUoHWcdTqaIKD0JU980h/iAqOahGtjxCnkpq9qgWkMgyBt+6d8f577/Hhg4e8uDoY+LFsmSjU1KBgaGfu4pDTxrFKpUs9ALloCL1JcRqAfzXq+fl59r9f1QsFdbZS6rhz7y6n53e4vrlZHBXRoIqqiKijUUql5MjDJwdyFUqMSChIzkQHhNUcDXNkI4Ht9oRK5ThZCoDluTB84cpIAeG42/P86TPmUgld34Ir6/4sDQRGbDxsPRsFSWyJelZRvKnhyonxax180mcr9lzVbJFz3W1dC2yHgRgDR+tvwuo8XwJ8urIIRoOJTokyV1pgGo/LXmsrVjiOR3a7XRubZB1cK23bNtU2p1DqvrA9WFSeu+967fJrgZ6+78nzvKJ8+fmp50HqlOXhtUpeFLp2bsXX3TqQFJbARdt5tVjNi0ellgw5WOY2avd1vbeOv2v1H8eZaZo1k0xSiVEPkNge9aAFWLaoam+GELjVa6YJoohQi7I6UtDgwgdfeZ8vcn3xSDwrjrJAsGr+aBvDOe5gKbO4ROFiTI1vp4tSB9hlzXxw9OxcZPnWXtH67zRFQQOaizfm3pBzq0LL77Zn8witUU5mqtJgCLwZ4X654eF3/zGXJVPGQJnR7ou2qBzshagYpZ0ZZvxLnhqnEIQuRYZ+4HA4WHcx27yIKecsdKFoUdB1RD2mpEZIqqawV4vRx6PW0oy7j0P7szV2CLhH61SEYqofnvZaQLMahAWwOWjwDe3FTT72bkwxh6ZKNUdfIwR96qhEplIQMYk1Ozxdos7l4ILx30Vk4ckZMFnATmxGZ1F7WW/S+rn5hmXjr4G9f3btOEWJjcPnXrRKhKmLKuKHbICkVemxBgoViUqR8LXse6DUat0M10DC1uxqPh14iQRS37MZBsbpaDJdq8xDAIgcauD3LpSKIUk5pHOwKEyCDi14rUgDGCVXnj694Pr695jmiXmsiCRiNxBDIGdvcBUbGHA6jARUytPASTO0/vNVC8EUcN7u2FmrykZOQaiSmlxe9ALYYs5SG5zFHug4+Xpc39OUUgwMF9sLMTmNx/5VnANfV+t6rcDhVLTQ3kcIHKeZktX5iTFSoigtQeDk5IQYE8fjkSCm5mDAKobI+WlPFyrPr/dc32RiSvQxkkmELrRMHsHXadvZ7c/rzForzqrrotHlWtcuhBAWNYSwgAtf1rf2jKJT85IDBKFIgLJHpud89P0f8h//tQv2u2s++tE/Ydw9Z8kQLvfyjpfB9mtp3FWdv6W/iPVfYInQr6OF6z0cozWPc279ap+LiMmz2hiZE9P2tGU1HMy2lxdagy51SswO2Pry/VJEmHcHW+JBi1CTdmKdp1ntOZ7FtGZCGI955Rksj7yK8gY9G87Pevpu4Or6yJz1Z5QXvjxRjJHYLWv31aBWsLkPRgsJKbZO5J7RDEkzUn03cP/e62yfXiJyVApWCCvuvNHT+Pz527IspVBrYZqWLIsDzkWe7xVEurpcac3fI6VVoMVHTYSbmx3H4yccDwddnzZL+tL+3SYFKHCclWqifJSiUrWmPx+o4B1ipWtrLaINpm7tEV2sWHhAz2xgf3PJbnejMtohginkveqILntL2u/uJCosUCcohrQ4ZCznr2Mi3/PN4WEBt+7qShuxxf1/NVjRnCvb4upMm2Ogxs5oL8EAsN6tFGl39jPg4uKKy8vrRnNUEbJlrQ2DigeMY7712ZJno1t2dDHRdT0yZ4xxyzzP1FrpuiUDp/jE3iGAS2Z7P411r4hge0vzBp7NsiBNWLBlwJjTdq+AMkKUh1/biLai3hg12FGrlsJFDyIWQujwTOkaO3mQ0zf+LZlf2z+KqXRNd6nj7GzLOB5VLhRt7vbZZw//S/fQ+vrCIN6ewkCfepBtwUbjt7qRbA7JckBakMNS5not/+6Hpn5u3ayggfa1h9aAj/1/WdIZTd1BIMrtyPX6u8GpPyChkqtwtt1wvt3w0cWBaS7IFJEajVKR8KSS34umrEBzFKJRL/ybiudP/PtjpBs6Sq6Eal0Y7ab+Tut3rZYKhdDSNeuDTjd6WopCVkakNnk2jR5WRcW68YLQbTuGYYMQ2d8c2sZwaTbf5NLeLd66v8+djQiVQg06pkU01ShzIYYZ0IhTJOER7hAXuo7Tp6pAiFqAWXLWiEa38OgUaxhvOaw2RFjmVg3k5x3BdcX/q86Qvq2vLTFHKGpq0pCAhGjvoeut1ArzTKrq9JQYkBSWgpq6RAJ0nVlkTm6v7TafK5ASY+Ds9ISu77WRkBu01eGofxMZNZnERhIhqM4yYBQgdXqyfV5EyLlSa6CUIyWrMer6LW+89S5SCk+fPTZ1Go/E2bvIAtL0oDXHNoDEqNKDRczBNhBjDmVKSav2ocnPBXsfPUxpcrDNP8Axl/8cDcBqNCMvjlfQnhWttsOcPM8aOjBYz3s0Zzo05xHjkyoYlKBKM7FLJOv0aaEecikcx9EiMOogd0DslPYSa+XO+ZbtJnE9jRwPSpuYS1YBAMxOiKdWl4NXVkDQizOb07myLbqmtTPrGtytbYc2N7qd1YyrQ8VeFVeN8IYx2db58eUDLn4kHE/u8+TFZ9zcPKXON6omogYXV35yRzwadarau9EApY97au+lTXZuq5f5szXkI7QInc6/Hq65LEIGiLQaAU/Xh+B0mZWQgjcMKdLAmY+pmO1AlKpDsKyigRoCxNgzDB3T4UApWVVxWoZSl4f3BdEzbxnrto+COhHn5wP/7r/zbd57721+4z//R3z88RUyJaoky5AIBM3qbjYnzPPMNE/6vnFt542/u7INt1RnYoSgzvWTZ9dcXn+H/VTIJTQaSQhKoYmmZLROGtwG8wtg/VxmDm6trfb9q/W4dtjW9yNA7Mx5sfnOxyM5zpYluJ3ViaydX/uOKBB1j0YJBJIGsULQgKGGWQChSmB/0EyE1xao3dBASa1CDUoZlZpb4CkaxPMl4e+2zo6spaH1aPJx0vXc/hyMFiKA1NW7uLPtNQtGB2nA1LI9bZKCjRmM80QsDmZZHF+R9lwqYdkefjVvK91yoxn4Weh5Hc84Cxqpnq3j9Xr/SqN9Lc5zH7ThYy6aIcliuM0cC5cdXTuqAZq6YCnV+masAn1m2RenU8G+dq/GghpL8WhqexJidNnUQoo9XYpM1Sl5ggtB6NpbLK7iX5WZ1qPAArZ1WdNixsDXAiv7ditYEcCp107p9HfJpfD06VO+yPWHAPGyRMwIePSjLUynIHikO3Ut8uWHdt93LSrSpOdcoWV13fZmuWUoWoRVE73KcTevqvlRwVPLa5Cp3+tRPD/UUtQClFwDP338ggcvAjcSKSWBSQ6FVNsh4ZuomuJJYDH4wUA8iAtmIMA4j4SkVfHDpuPrX/8Kz59f8OzZhXGI7b3MU/dUmyvBuJfph4WnOmk1Cf5uqwhNWPxnHYOFOxb7nu3ZCe9+8B6EwItnLzgcRnAjUh0sLuOvQGuJqLKKEqiXKgqskztsylfNdTSOciGQiLjsZzV+n9DKOWO0zKrOSUjJai2CNVxZOG7tUNQHdK+xHZytwr0ZLT9oP7+mmsdsTqCINA5iO1WCg2zV/0CEjkooQi+RLIVuGCg2Zopnbh9o/h26fT5P61mUbIREYH/YwWFpBrWOzCy3LCSZ9BHjKSkUixJYNb+uJtsLhZwrTuepVqTqakjvvvsOtVSev3iGr8TOpPvmks1xNYBiakG1rA4XAqlbCsF8aN2oCZiTEppDX1nmcBgGrd0w2oQa3WIHWFhsi83tQpULwBI9LHnhRzdnNNC42D7GOkalZR1C1KJKP3xqLS3dqSBwiQbWKozjvKS0pap2dvVGWplnFxd0fWKqQhcDHTNIUR38NBj4X5x4nRazANWoEiG2MQluUGDlJNneTKmNj//yg0GBpUtI+tq34IroWnRg4VlCUKgyHy558eRAilt2+z1zGUGsL0UQ3dMxGm1LG3Fp0WtsdMk1sGsHmEDX9ZQSLLXs+2DlzPjpjh+I7vx6RkujjKenp0zHkXnOrbC+RUjDksVzBxSkUSBiXOQ2l/SuqtBQ1I5JW2VaTJznrCABrZPSOVjWXzVKmMoaChqf96ZYhb7XrNCd81P++3/lL/LzP/8+jx8/4dGj32UcAxoVUwpb6ix6aCn4dUM2p0vcNi52IvuZYu+PQK5wdSzEcURCVEJPwOqCrct2C/w4CFqCaOtz2ddR3/eUWpTSac/gUdmfdW6vI/uASdXO5Dzb32kAySX7MNUawkLJMNRLMzKNilP1l4BUb0aodCKlZPQgxexhMPqj2iNBz7EhRfqk/WUK+jMSO6gzqm1TrCdJaA6IVK91U5lbH29dty7hKgxDTwxaKF1rJVSlLmrmKjQhiVt+ke8BA/HB4XTQXgMpdozj3IZDCMwOhG2fue1YU6OEYME6Vw5zqUianahrT279SDaPTrfR1a7MCs/M+14JIbDdbBm6xEm/4er6ijFPLWLu9GyCUwMXamGIoXURdvukGTbLdJnCjdr1SJdUDW2eR5pkbpthvYfUyna75Rd+/qt89tlDnr942V7KQf8ST5FWZNww0MopdZvSMAIWDDD4pPKpRWtywlI317arfSrnzNXVNaVk+mFgs9lyOE6Kqb7A9YcC8frwxjNtGCc0O3KLjhGWyEBn6Ryp0nhBgmmNanhDCxtZwNW6RbpP3DpiCdpkYZMSfUocDkc7/3RgVfVh9Uz45ljJgIWg0eEQmQjkgKoQAKn0hBKRWMgW2Q+kladtUo0hIFSoFrE0D1AjgGKFmLkVGRFUb/oWT9MmPoZI3ycFWyVristpSb6yIq2Zkm/Q5hHaJo1Rm3EEgqaxZAHWqUt0mxO++nO/wH/wH/6H7I97/uZf/+scdgcOZaf4sniB1rqg0MyHuOPgKf+FmxctaiDOjcd78diBKywOloFIfC1UJY1XAbKmpvthIKXYtO3df3Tco0BQHZbGCwxLlHsdufxZ6d0WtatajIaBUQWVDS3hykb615VgEcQuwKYCtVA7UMmugJRoYDc1AOhzH3A+/6L93hozmeHSMV+UXDQiQzMYMURlSQm69kToRNO7WZRXGK24TktZgkapbD0Gp6/ZeJVSGacjP/nxjyk1M+fp1neWuqI72ZpDLE2LtEOy1EIQ006uQsmFlHrLNin1whs+VSlNh9/vo1QcXStdp5GQXJZiVDFjvdgAmzKT1iulEmThQ4qNuTTDGlqa2pvF1aI2jPZeut+2m56aZ0qdIU/E2NF32mch2/6gUyfEHbwoghTtGhm7yGEUylEpHT2Ze9vI+Z1THr7ccygYuFMnwut7FtOO2sSg2Z1AbCo12bodB6P4LHU5i9F3wFvtIFohC/MwXbXHov4GNHRdVE6GQBcn5nni5kbVa8QUiKrQ7ItrGrtdSFEdbnBqw21awC16UNCupKz255I1oP29u3pV7GA0KoPTYBx6aFJT5y9FneM5z6ZZ72eH1SSha8w7946jcfybnRaWMzS07+o61Y7vonB5daViCTGSYq/R26JScs4tbzQlk1zw8UDgeJj4O3/7H/O933+NH/7wAeOUITjQ1HNMg4OVm5sbFiOwgIHmkLLQpm5H4c2eCNSgBanVwIgUrQMJZoeDrM7tFX5oZwEr6iomj+rZzYA5kdGwdbiFRn9WECWEwGYzMM1Qxsmi/2IGvjanWeff5TP9XT0O685aNFsYCNXolqCUTivC3Z6ecRx35GqFhy1YZQ5C1QjuJgl9H9lNmYmOWTRjHqPKxmpzxc5A4SLE0LJlbYRsvpPyobvU48W0XstX8WzPkiHzaa7VnV7dpwvN0LOPloEkWBFoUH52UPqUVGkZXBEWmeiwZPUJvr51nFJMrwQsahvjhWeuZ0rfD6QYmaaZZGunmlRtSkpTianjtdde587JKcf9nnBz3fAb/hzVs2drWVkarTZ1Ha4S5HvDAwTV6vUCnomNlBItwm90NKP5uaO1BuLOi58nd+68QN/3ra6/ELXxXm0cdl/YKlxi4HPVNye0oGjzCVabSpkNNomiMsRKQ+sIoQNmlt3zr77+UHQaPzibhyYahdYIPS2KEwlWAKSHf0rJvEQx4K+fC3iRhw24FxgagK8sNB0/3kJQ1YeKRis3/YbT7YZpHKloUxYwuT+PQvgkR61md89UgijvOlQkage9WKoWp0ZBklbAh9ae2A7GUmzydAwCYoDegHMDIx7VEkuxJsZx4sc/+ZBpVA986HpVV6g6iV3XIRLJRaMKKkW1gBBPr+nD0tI4/n6+QNo7UowOZBEBAiH1vPP+V/kzv/bnCKnjswePuHzynKdzVsWK1cFbqnuSejfdwwaknDphyy0FberknLo8VwLJio21EREy4y24JWgBsstfVZFWcIsoLapKbZtbM1MNkeh3Gogxz6E5ah6VXAzj59O/6/F0NRZ3iDxa4++NgfckUAKkUHkjJN6/c86Lw47HIbM92SDSsT9mLRRmiZi7QwqunmJjGQNO40kp3joMSs3mGNXmOC3G1T5Dh9SeEIQYBbIfttIKm7U+QeXaJK6j+Lqr1GGsjNOsTk8EpxqUPOl+jcuY6dAoVaGUSh0tMisazUurYi3xaKHNm0vXaWZnuWcMYZHXQwuYtFGTNCUX4yRRK3QJYtfh+ry6nwNrZeDg+8Q8Pwc5LfhgYxACpKgSeyWbxF4pKqdpUaXNkOg3AyJ1yY7FwFopSgvulzqCSkLCAFKI7Pna+2/w7V/+Rf7Ob/0Ojy4zmOZ2XFB2c5paYxncmfb7q958dXuAAauVTJM6VLXZzXWxumdxUtJo8DBsyDkzTUeMCapFf8NA6hLjPCGxt6iYRcxDXUxQdN3rahFtH1MD4yE0B9AXnjpcxdb47TqR9dqM7sSoFBh9l3jvvXfYbrf89Kcf4qXe+91BbVENTVHF3zOGJeIXY9SADNGCSbbPijus8ZXM0vIcamPUwYlR7WprS29nWcCdJqXquCPZ9oH9WRsyBa4uR/7GX/8nhFCZJiHXjlxzOwvVOdV3F4/Cu91rPGex59I1dHsMaQBeJJgomdh5W8HqomoV5dHH3s7IQs0eQFiAqYLV0KhCIlrUqlmfCKZWsz6v/fvXY+D367pOsyfZZSh8xC2vFlUoo4hLud4OxugeQ8enBqM7umMphOgV7TBsz3jvva/y6MmnXF6/IPoeFj1HpVb6FOhj4M3X7vL63TM+/vQxYxjYz8KhZlWlEnUICBZwYpnXEG7bA9+NMUT6TpuF1VxaBr3vBlSla9SfNHC4jNWSBZF2z8V+57lSgp4zDrQloMp5wS1B8/vas7n8aaMaG3CORlOhBQQKrhrWRB7sQWOM3L17ztnpKY8ePbGg5pLt0u8SqJXDONGnnheXLznmrHKmXdLaE3MeQvAseLUzb8GZrT6G1Xm8uqIpd43jaPtf7O9jA+PDZmO8+8J4HPnBD37EnIvy3KvOkWcuYkyUQmvGGEhLoMecsD4EOgso5LJgLKUFxYZ/vUC9rWvDrmK2EcNTmhUNTDkz5p2JlUS+yPWFQXx2IAEGJtRgaDpY0zyuuKJFdGbcbRGHFJWKYJFBbTtvOrdW0KbekskOGRgr0hRG20AgmraKJlk0l0pIHeSZYOeMb253K7SDVmmTqwEK5w8HlQ8sVblOogdVDVYwuoi8EsAkKpUTZsNhUSfn4Opi9EIu1WS3TVbhcJj0O2Nnes6TepBUxjy5c6zf22oPLG5XnP+oU+EySg4Qg72xuL550JSZ0gPUawwEdld7fvAHP2WeK5989BmlzCpVGTwavACeJQIQls0ugquWULVAJOdbp4d+b1gKYZODYzHTYthOm4SxuvdSSFKl2PjrfPkhFMxB67pOuyeKZQAkNEPgBlC9dj2cFPj4+xiwRAwkOdiJbexTChCFWmagKoKPwjZkfun8lH/3K1/l954+4m8/e8R2e0pkYJ6uqFULYpx+4pGAGLUyf5rd6HlKOzWnq1rkW0SM0hnanhNo607EAXXy+mXThNbxXziZaFTD6ihFzIENFi2twehOVktCVEUcTM4tetvoSqNgAMdxxLvYiUV8g9mCFBOSQutsSVhUmDzl7B1vF/4zCzc1BgRVnGn2LAgVpeRtqqrftC6LQWMXYjUpeESsWmYA6wxdXUpTI7bqRHtUW5Ck0ckxj4QqJFStqAi8/dYbcHnJfHml9quUFqRwh12EJd2ru85scc+nz/dc/4sf8HI34fUEOO3LFD7cXmjPiaE1p3IGaMWUwKpTymqLyuusm5PSUtIKAt1WCHboBSGXSiwznqjXA0ezKPvDSAiqPCPucGkqRelpFg30rKyuSUsZG2i+ddyuHGhvFlTchq0i5WI8YPVJalPPECpD3/Mrv/QLvPnG6zx59CnX+xFizzCcME8z5GIjJI177oev7h8DszpQzHNmzsXS/1bvEsQOfnVQUooMmwGpME4TVSpXNzcEyeaEJyjC6Zm+x/VBFBSAnktWaBlCGx5ENDAzzcKcrXi3FKXwhMgip2QP6kC8io6/Bbvqao7DysFfZz70zClKzwqs9ttiH1zaVb9Dnw9zeMUOOK+5Wqh8S6BH6W3CxhzCw+Go55WmIhRUCo3X7fVKpZQGLBeAZqtK3InShat2/BVQE2jym6xpECw+Y62VGmAcDzx8+AnHaa9rrWoGIpoSUxcTp0OiS4WzOydstltCDGy7DqEyj1rnETGHWmg8brTkYHGsWBxs3wSeFSlZRUURmKrKCdYQrCmecfbtaPJMnDY8CvgNffwJwbKkli2OEYk6p6Ip8NsKLI1+suxHb3jnVEkNlvgeT2r7jLdNDAY4A0jgsNeaqmpccsdmy8QFQoSb3TU319cUy2AQ1AZpVkMDRxIW+7D0dUiN4ujeiK5zA782tm53my3x884dLD+fDEcVw5xF1PELIRFSh1iPmiUTIeZIKzWoBqVy9nXmVOCNszNyEJ5dvlRaoFpn26OJzujnYilUaSY04NUVji2DRfM1cGnzW/81N3tyfp3zitxI34q2GbXDOatVStu8Dgx9YXk/pwqNztA2ow+GUS8sEbnaIPp1RTLX+5n98WgpfZtoW+hBqlbp27MXFiMu7XtsuTXDPTQpQD+oMJDXjiSPJoorRAgxLukh6kJnWKcm9bnVy8PScrUedfHYwvdN2WL4VQyMBzClGsQk+6yqv3XMqybb5vNi72v+e6NxzPsDH37/B/yv/xf/EdNcePHiEYfdhcrGhdDG5Fb1d1QKR6eZd3I03dtaGGKkGwZmQdUOREAWHqN6+E5tEXDNax8XnGIF3j2z6zr6YWAcRzX0soBX7/i22rl4AaZ6tguFSrvLqsKAsKalBLzJjP68cuqERVPWMzesioZrr5KP2y4w5ZnHz5/y7OaKUoQXLy6gJrI5Kv5OrmfvqcYYk69oai10XcLEWttec7341hugpekWYOSSoTEZ4IeWrfColys/UO2ADoszBp56d5UppahRrVg7RgjWmdAAfC1qzMUNL5aKxQo0q4Lo7aYjpMj1fkfXDZp6z+bQWEQ9RkHEqwjc4Go0ww+zQIfELVH2pDxTorDtIn/iq2/x2t0z/ukPfsLVsTKHxFQLIfSo5q43NNEGYtoi250zG8dqdTQSm+GOEcSMb7QDq1SIFpwI5ugiCvBi582MLEoTrdC8ApKJQaM5mcCLm8Lzm0tmi/zE4KlilRAtzlu39VOLjrcgFhAQ4y3bXlKPTkdOFnoUbX0YWBJpvP8YOwMbmVoz01xYd5z1dTPP9r1GXVkzV3wfuc0B1FH2M4LUDl49NxeHen31XaegIufmGKgN96xbtYCMgog5j/z+d/8lZyenWicSApvtKR989Ws8+uwzri4vcdALGmX155MGoFfUpZBawa3acKFGdWiCAehi+6PrOsYpK2WmCt6FtY+V1++e8K2ff4fL6x2//6NH1Nip82GfdZDi41DrWgJSHUGxRal2Ia3sgH7WQe6aluJFcz5vfi46BbUVCbb15ifBon6W7EwRc8TEGirdXktGP2u204okieZg1NUzxLaefJ06xbRF8IPeoynZiO9+UaAYowVOlnUuaMCm6zrrWutrVVo2c2leZUXXKOhMAjVP3Fy/VB8Vo4+lZJrzkUQgdIm5zPzk40/oYsc4Z3I5IsHHaGlsSYBuSEgI5GlWdoCNabO/Zp8R1Q7X7SrmuEdCpwE2vOeGO19V38v3b7D/rrf2j6FaOxSqVLPx1eiqmJ13AQijQ6K0GhUH6AClrgqmvkIlpoAYCBJ8vVudmvlRtQr7/YHD4YAH+xT61AaXlixObvZDsIx9iEp5Dtp/plZzHixgFYLSdfq+57A/NMdfbAUvOMWVnByLVncn2hr2zJ+v95y1T8sCGLWmLbV4h9JlPRvapZ7UwbFkatC570Pk7ukJI5XnV/q5IuJsTwhhKZQNi8PRdb12C6bcej5XVfSMZBvQL3B9YRDfmcHt+4FaC3meV16Q0TmC8dpx4BhayqDkDHbAhxIbD9Tet13ufRajG8SUcCnfTlejLr4YlCsdVc9Y4nITr3dJErh3eoYI7A6THWj6b41TvBrgZeIVRKw3jYujSa2UoBw3/cB64WHRSIyKYpFqe0k11kG9vpqBJe20tCK2qI0sC9F/r9VaNwd3a5bnbpFb+6jH7pyz30UFqUGgziPXF8853Fwz5YpIptRJU2IGyARwFZB5nqkRLTSY9UCtQccwFSuJMTARPJsliyOhBS7+uGLGwUCoGz/f9GYAQ6gt5b6OMgFtUwaBmXk5DKIfKq/8AoQlzamGSYGIcydd8ssNnR4GVYvUxA8jVaBJDEx0fDgd+fTxQy4ks0OjaS596e/eDOrKqNVaWd6GFun2FvV6mAthtSa9LboI1njJKE21IOKKP5UaVnURfmgbOHSK2pqyszTBMN5mPyhwHSeTa9Qom2pNS/NlfV1mA2CdF9y5M2bfK7a/l6ItT+Oaw2IHgzr7Sk/wlGVC+wtICMQS6KnEUDmJwjffe51337zP44sXPN/BZy+u6Cxw4CRwlSe14y4skdho75TnmRIKqRtALLXu4NgOpmSgVxA++eSBUUdCc5hdcUidRrV+Cy1WHbYYourYR92c6uyokhNFo9231FmC8t5Ldb581cxCXAE5sQyXGfw1XcOvtnfa0yx7x7Mfnp1zC+fZLk/Er+8rPi4uGBBW0Vg/HF8txlpjjbBExFJKvPbGG5RSuHjxwuhsixMXYmLTb6wjtjqhVeDhw6fa0XrYQs7keebF06cc9wdzKG/TGXTti/Hope03WNSq2mGKfVWgZc8QGOdMRG0BNRCSRywjZ6cbXr97wuHmihcvLgHtCaCRTxvTFbDSMdQIvUssv0rz0/mkBYGCO+a1NgCsy2ShWL06H2vJZzVoesMWncSDPPrvLZq6tn/QDsdFicoak3Xa3bpYYMLHM6zsTzWqjxQhJIs2+75KS01QZLFFtF869tonwzK68bYKCrCsz1WNmGejfR/ffpWA1EiNldqrg9HlSshwdTMRYjWqjWKLgtq4rh8Qo5t4EyctfNbvXXqLGFixL/VaGZXT1cGOpkgjpeq0GK3MAzfuFC1KMcsedDnuVy+1q4VFJcJ/zpX+qgUXpCl4eRGnOmTLs4s7RlV/RsVDklK9DB+saTD2oksEPd2Wv62ltvXj0XANCGULCNMo2b4/g1F48jzfmuulnk5V+9zmOi9bs9fSnMrmOIuw2QxKldnv27rvu17Plxh5//33uHr5kuurS38lqghdtLGRAgkygZ1Ufvr0CSVGphCpSZkhxYI90jq/w7qota72ZYBWa/Mq5W4diPuvuoJ80Z/88vry+vL68vry+vL68vry+vL68vry+q/F9cWY819eX15fXl9eX15fXl9eX15fXl9eX17/tbm+BPFfXl9eX15fXl9eX15fXl9eX15fXv8Nu74E8V9eX15fXl9eX15fXl9eX15fXl9e/w27vnBh6/mdU3qJdDGSA+xzZRsCJ9uOq8NMINIRyVE46Ta89c4HXFw95uXlc0LoSV1P3w3sDtf0qSPUQh8jOc+U2CECQ9fz5htf59nFI8o8MWx6UipQKnme+OVvfp3h7IQf/vhjjnnmeMhWrJGZ84xIYOgiZc5sT04YNgPbOHA1HpjyDKUS+p4hFGounG7OOEwzuU4M/UApE3PcMAxnnHQbpBy52V/TDT3VCizmbCoWWvVG6ga6mBjHIzGKtcfOpoIQ2A5aZDTEO1wfL7TSPsLpcMpf+NO/xp/7M7/Ax4+f8Bt//x/y6WfPqAXu3D3l/ffe5dOHT7l+ecnJyRmvnb/Ns+uHBCrTXCh5YnMyWGERUIR+c8K7r3+V003k+uYFj188o0uB17YnXIwT4zwzxJ5pngmbjmDtmbWYr7I96chVmGbtQBc7bb0eBEKfSCXQpYF+OOVYrpkOR1KfiP2WPGdKmJEiDLEnDtq0KoWescycxsTZZiCVzB97/zU+u5x5cL1nkpkxYwoyAQk6j6FETs7OSDHyp371T/PNb/0KV1eXvPzpP+HXXw/8y4sdf++TCy5uDkRJnJ/f4fLlc0JI/Ppf+PN89YP3+Tt//+/yyUefkCRBUuWE+6d3GOeZSSVHqDGQR23GFQPE1DNOE2cnd3jr7bf57OGHAFQ6pBxJw4nWGDKbbnDkfHtGtxl47d498tTz6OIhUOjDwP5wiZTA6ck5h2kHzOQqDN0p22HLlK9Im1PqOLM/7ohdoBRh6DqIHTnPdKFnc3rKbndN12mB3jhl+iHx5p03ubi+oI+BYynENDDnHT0blbMqGUJHf+d1jseXnG3O2B+vcKnPXLVoL8XElFFFp5i0N0IKFMmEkCgUlUEMke3pQB+1cUokkagwbJmOIyKzFa0FJHYcR5VP3fQDZTxSKZx0Z4RY2JXCe69/lcePPiHHwrDtKTmzEW2CUmqhzBMhBbbbLUigzMIh77XQPgjbzTn3Ts94+vwRUiuzCO+9+TXu3j3js0cPCGHLH/vWe5x2gd/+zg/50994lzgUfv+TPZfHa95+4x0ePXnI4TgS0GL0lCIhFsKwIeVKRog10Q8Dc9Z3qDWSQoKa+Td++ds8ePqE51d7LRKbDxCFkHq6rmPa7VXjO0XyfFSVgtQTc0VioT/ZcPf0dX79T/8af/pP/kXeeu0t8njNxeUjnl884cGjx3z04Y/55MlDnr68INRKLTCWTEyB0+1rHA/XqJxpoJSJ7cldjvMeKUI/9MzHkdNtz+E4ESJkUeWdCJxsBkQKJ+fn/Oq3vs0//87vMo47bdyVBjZnp+xePkVSINHx2r33yTGwv3ikdjUKc6nce+0eUDle3zCXRBdVzz8kKHMmDRumo3aGjl2nykNWk4YU1ZkvhdgN5HliSFooNoSObujYnpxwrDM3uwMyT9x77W2GYcvTxw8YhkieApXCdrjD9uQO++vnVKlsT8/JdWRIid14pM4wpI533/4Kc52Zysx26Ll755yu33K4uuLJs2fMkokpk48zIpF5niAFzs7vMx0P5HzkjTff5nL3gpMuUY6QOZJLYui3xC6Rp0LfdeyPOzbbDcfDQYvFN4lNNzDvJ0oeTY0nkrqeXCd+7p17fOOt1/jhT5/z6c0NsesJkuj6njKNWijdYTrXkIKQulOImW++c8rX3nyT73/0ko9fXmhRbwSZCsOdgVQD++nYJJ+1iURQcYOSeP3+u1xdvWCaj8TYca8P7EqmxoCUyPn5KSkmrq4vMekZhEpfK5K02DvVSukjb2wSf+T99/ntH/+ULJBrRwwqtJBL5uT0LU77wIvLF7z95le5uHzKmG+4e3rKca5s+w1dPGc/X3L3dMP7777LV7/yNhe7mUdPX/Dw0WP60BHmHfNcIAklJqQWtsNA6CIdwtvvvMm3vv5NThl4dHnNZ08/5fLZE3ZzpVLoSyD0HV3fsd8VpjqTho4uCXkW5v2RGuDrX/8azx4/4jhOlJBgOkCElDpqzvybv/Au/8Gf/Xn+9//g+/zg+Q2Q2IYz3n3jLk9ePCMX4eLqmhwqw7bHRKwYYqJIgVA5TjPb7UnrFVNrpY+J1+7f4eLlju3mjLt37/P88jHTYaZPHXOeKKFSs9D1PUPfMx33pKS9M6powWkXO7qYOE4TyUQ9VCZauHP3PoebGyYJSJ1IXU8ZZ4Z+4JgnXjs/JdTE5c0NNRZiPzCkE+Z5T59ASuCr7/8SxyAcLx+x312yM+32zbCFMnN6eo9uc8rjp4947e4ZXX/CNM6EvCcMieN+5lBGNl1HrhC6yMn2hHfPT/lj3/oGu3nid777fXb7kbsp8aKoaIXkQBah7wM/97Vv8Oizx8wlMww9h2lHPs5a/1oqIXR0fSJ1HWfbU/b7G/Kcmay4+qzruXv/PjfTkeN+r0XGQJQNIjNZZvrNlpArMxOpdhQKKQVOtydsU8/lzQ2TVFIf6NMp07jnZBOY50BMJ0gQrq9e3BLs+FnXFylZ/cIg/k5/xjhNXB+OlKhKHmen97k8XlNQIyJJSBXmPPPpk0dQJ/rQMafEPGdyHglFSJ1WeOdZyCak30fo+xNee/19duMNu6tnjMc9/TDoz+XK7/3gE7ohcn52yje/9j7f+96PTL+20lkHwSEk6kYbKxzHiZvxAJ0q5WxPz7l7fsqp9IDw08cf0/enxJSYS6bkzLA9YTy8QLpBmzFQoEZKqRRmrYdOPbVUklS62NN1G+Y8E0Oh63oO+5muD3QxMHRbAF4eLq2rWmTTB2IHr71+j5MucHOz4+WlGuqhD9w9vcvX3/+Ai4uRet5xOF7x+MUDYjQJwVpBAjXrohuGnjirjNaj5x+xiR3f+vpXePLygvvbE+6eDlxUBcfHcSSFqJrKkgBh0/dQC6dd4vW7r/PhZw8ZyfRxQPqBMhW23ZZj2BPLnpvxCBLp0sBcMt0QETqGlKhRZT2HTrV3d4eRLvb0feTe2R3ePRn5q99+j3/w4RXPj0d2N5l7d99iHHccDntKTQzbju3mLn/u1/49fusf/13+8Xd+ix8+/BCZD/zqG/D3Hwm/89NLro8HSoRSMy8vC/NcuH/3Lsf9nk8+/oTL58/ZbDaM40SHpp2eX72kSz2h6zjdbLizvcOnh8eEXtuil/kIUpnmPU+ePebsZGC3z9w9u8s4d+wPO066hBDZbE/JeeZ6fyCNMzX2BOnoKLz52ju8/tp7/Msf/FOyFCYp3Dm/xzYlLm9ecDweKPPI5kQP9tAN3Dm5w3GqELIqQOWRlHr6EBivL1WdCe3wlzaBbbrL3fO3uLi6YCpWFW+6uzXM5ClzfrKlFmEaLznp3+Ktt97k00ffY55nyqxOcNyeMo9HUyZRtRLvlrrZdORcGLZbdjfXnG03gHA8XBGI3L1zj+N0TZ20y2vsNszj0XoXZDYmQTlPByRXiB03444YVG7r04cfMQw979x/i5fXLynzkQnICCcdSBcgwn4sKmeaVDs4pMSmO2c87Hi831HqrCoZXWTTb0FgGDree/ur1BJ59OkndD288dqG//Yf+YCnl9/hxU54eXmtEpJR5da6BLXOqlhTA/1wj3p8SR9dLTnR9VuiwFv3X+NwOPC9n/6EqWT60DHOIwShk4CME7vdgS5VNqnjMO4522w46e9TQ+H6cIEUGPoN2+1d7t9/nXt3Bt6+d8rQbfj5r77L8TDx4YMf0Q09NyVzczwwHidSX+iOYkpVhUBVidRYyVWY8wFCIQ2RnEdVX0qndL3O8Wl/wm635+R0w7fe+yofP/qMr731Fn/kvbf4/h+cMI4HSqm8sT3hMB7JpXLabUndhsP+mv3+ms3JGWddYj/v2Awdh92BGCOnd18jTwJ5IsvIdFDFoBAjr7/3FlfPrjkcD2z6RJ6O9JsNHVtO+sg077g+HKlJKATONgOFxPXxwG6cKdYsLsWB64tnhC6pTcwgUuj6RL/dkucjtQhdgj72pCjcPRm42d0Q6Ahd5MGTjwlUhu2WXFQWcnvWcXF1QddlqIWpmNJRKNRY6IfEYb5hLkfun91nkzok91yPmVB0v+ZaKOOeng0SII8TAFOetUlhgnosdOeRkoS+2zJXbSA454k7245/+49/jX/vv/VL/E//k7/PZhRSHxjnI9o0VyBWunRCZKYLG0qYOZQbNpL46MkVxxFqqvQSqH1PlcL29Iw/9sf/KM8/e8iPP/yB9uKMHScnp+wOl5wO5wybLS9fPIGucNJ3xFi5qioluuk20EM5Zm7yjr7vmMYj/XZLmWGSQp1nhm5DCJHpmHkyFl5cfciw6akUQuzoYiXNQqmRlFTOtg/w8PGH2gRogikIWWZujhMpTpzeOeGd+2/x7//FP8Gf+zf/JL/9u3/Ab/7Wd3j26CFdguv9hOSRuSaGcEIM2ttjmit9iHz88VMun7+klMrpcI99PXKYI7ud2qoShVpG6mFPzcL53btc7q4hFw2oJCHWyjc/+CqSZz55+JAYVRWvBpAo/OIHb/HuvVP+1u9+xA8fX0I8YZZADgd+/8EFUSJSZ/ptx9lmQwmV/eGga0NMO10qKaj05dB3jOOBlDokBK52e1UTK5W37t3h2bNPqTUTN4ntZsOd7TlXl9dMCUrokDQQonDSD0xZIInisGkmxcj919+g5Jmb/Y4qmXnak4bESRWkdIx5YrPtmOYjqY9MpfLOmx9wnB8w1SN1nji/+zrXNyMpBWYyHz/9MWfdKW/ce5Orm2uG1DNLYJ4LXeqpAsfra7pQuTnsCTcHhtNzcuyYb3aIRIbNVvs+IAxxy1YCf/5Xv8anT17w/c+uuNxlzrYb/tj7b/Jbnzziejfzwd03eHE4MM5HPnrwMdOYGbqeadwxHQu1CP3JCTFWupDUqT5JXFxfauAxJb7xzrf47NkDRtnx/nvvcP/1+/yz3/mXHHc7YhqIUSgZNmyIok50nQMhFPrYcTL03LlzRpLAi+OOIWwITEzjTtfiMSK1Y7M9JYTCDdZl+P/H6wuD+HfffoOfPngIMZFiIgZt1rHtBvbzaF3PZnKFk76nlCNTySqtM450fU9MHXQqe9bHDSUUtqlnt9+RticUKXz3B79NrKrP++4777DZJj786QP6vuOdt9/jardjLJXd9VG9SCoh9cg0UqIwJW3Rm+fKe3fvU0/h4nDDNB3I48R1zpy+/gF3toM1blDZnxB7hpO7lLEgtXD2xuvkqx0lV8YysR16coEUzjg5O+Pi8hGkyDgdGKejSttVIedrupToQuLNe29RQ+blzRV9r40T7p69weXVFbvdkf/87/9t/sV3XuN6N1JyTz8I+ZB5/Pgxl8cdQuSte/d4NO8pkpGiEa8YoN9oZ9e+21DmmWoNOro+sN+P/PMf/xhK5vF15vEV5DoTu0RMiV5bDlJToAs9c56IfeDlYSL019BHGCGkgZOTU/bzFUihZphST991zIcDMxUJiXmcSFH1crvUE6RyfnbOt3/xff7B7/yQOVSuj5mTWHkyJf7T33vEvgxIEF6//xZ/9s/8W/yz3/vH7I97NsOWnAuHcsNPfvp9xnlHGQ98+vGP6bvEb170lFKYZkiho+QjXZcgVYbNlmke+f73vsuYM+Mhk5npu0QtlVkqEvW9I9aNU0DIbIczppyRGbbbDZnCON5QyglpOLFGVQpG9kUNe5q1UUy3OeXu+WtsT045XD8nAIejcH0zqs67KCiepsxYD8ylUDvNPgxSKDlzEhN37txn2ESuds8hVBIdQ9+Tc4XNQM2THgJJZSw328rVzTP17GIlSUDmwqY/YZqPkALd5g5dgMtpZpef8ujhc+Zx1C5zaIfCeRoZQmSOHSlUTvvEYZ5JQJ1NN3/SOS4VUrdFGCl55jjukVo4zhOvv/46d4Z7fPr0EV/52rf47MEPqHFiGmfVJkegZlJKDF3PB+9/k6fPHpPZ8fLlU2pNhBIIw4Y3797j5uaCnHfEviemQKVSYmLbDczTkTjcoUswZzVlfaf65o+efsL987sEgTvlgucPr8gi7A4Tf/s7n/LRxTUv9xMyTVyNKjMZJbDddExTZUhbZoFYhbPze5yETNcJuxop8wRVM3CFyCSZ/Xig73vmPNKlaNrbidfuv8bLi5d0KTIXiN0MbDg5OWc3X0NQnfnD/sDd88qYK0VVPTk/hfvnwjR1bIafIwO748T1yysu5qfs5wjxhELWBnFRG5KICCf9hqlk1cDuE323JTIzzQfmeabfbAiIyZoKU4UxFB49fcjfePQpV9cjRVRi7/H1c7a9Rq4O88RpOmEab9imxAd373E9vWQ/qoxfyTOxH/jGV7/Fz339Pf7gu9/lkwc/ZQqVb37j2zx9+YjpUOiicHYyUAhs2DBlQRi5ezpwvjnhmI8KjuaZMRWyNZPTHkiVmCL96RnlMNKlQthsOez39BsFzcd8xZAFBiGGjt31c3LfUecDiYB0lXHSiHjXqbTdzc0Nu5sjZ/XIvXtnvHb6GhJmHj15yc1loYbKsOnJNdMzI0TGIjy9eKJAvttyOE7MAfpNYMuG43Emx4BIoe8Tc9aOxNG0wsfjqI3CYqIerP9shHEU/tY/+4jf+cEjPnu+5837dzhOB9Jwws3NkWGz5fz0bXaHa6Z5osiNymKmDeN8JKZTnl7s2KQByPQkJhEOecd3f+/3kXFHrtq3Ydio3OHQbYlJmKY9VUbCnBhTJllnrO0QOY4H+iFyrJVSvEeFdqwcOv2OSCWmjhSFMFeqRHJMlKlC1zEE6CRy9trrPL94wc3ukk6sl4d0lLkQYuBYJmJSickObWgWe+g3G9568y2+8u5TTrrK/fO3mceZY7yiO71P6RIy7+lTz3EeySZWe9LB/5e3Pw26dc3P+rDfPT7Ps9Z6hz0PZ5+xT4/qbrXQgCQUG5ANliFVjg025SABhgThgFQUAmRw2TiCihMoiiGOFQmK2AkYCxchgI2Y1BKa1XP3OafPsM+05/3Oa3qGe8yH/+rOh1QlUMjsT+fLqdp7ve+67/99/a/rd202EzEWTtQDGutQ2aCNrIJCkUbunDW+kbt00XXM9AxtK0fLFaVMfPqXfkFEsFqIU0FbKQCqGHK1TMVw92xiFQqOHtN1UC0JS9da8pBIOTL3C5y2DNsg5USqQk5oDc54cgnUWKgpy4bGaXRROAVDGHjjnbfAeIwXBG0plc1mI1jSFFFGWmK/dlfevvMyFxcPWcdTnOvY35ux3qxE+IgZ7yqkyI3rl3lyesEQIsZYcqp02qMUhJS5WJ5TcsJgMd4zjL1shaqhYlAJYh14fPpw19Ys27iaC7aZsx56VE4YbyhVkXNiGM7R2tAYS4iBNEWcaVC1MPZbkjN8/vUHPDnfUNxCHB+u4dN3H5BKRmvNyXZFzhHfeGIQkXOIkbZxGGdAjaQYRADwHqXl4Zi1ZiwB17W4WcP1a5dZb+HBkyeMMfL8czc4X23IZ0tuXTvgtSfHKColJLRvaZ2mFE232IcSeHp8JGh05Qg1YlTFGSObWRxNY5nGJSX1aFX+v4i8/7MO8Xfvv0vF4Z18+FVFxhSJUwSd0bmAaalK00/Drn5cAPrUr7GiIYWEcx1RiRLc+csMU2Y7BdQ0YbWSJi0L2SlSMbS+lQG59jTaEUPg/sOnTFNkfukKrbaUfkW/K9KJMWCN4daNW1QFT994Bd915BQZpsT7T+6KDUBLkU1GYUqmojA2o5Ph7PgRjXHszxeMQbi/uUacS3SNpRxeIg29lL+AKJIZ+v4EY2Zoq3CNYgyJ+WKPfXeZp0/v09gZTRMIYeT0/JTNZktKuzlM/38KO7bnG7RTPNxsiTHgtAKjIYlSaG1DKoWaAhQZ3mux5BBkK6EMRSW0tkxpYta2lAx5Vy4SqVhVCDHJcK8MU8mcnK+ptcjnHCfCNEGSFjSdgZyoWvHcCzd4cHRGHBO1TMRcUUWhlCPWiW2e8fk37hNjxCp5PJwun7BuDY9Wluo8BsutgwUfeuEOb73zBqf+iLgrkwrTwJtvfAFUxSA895gLOUdyyTjXQMlY15JzROWIroWCI+bKMI7knGl8gzKGzls2/RalCoZETJV1imy3vVwaQ78r85CLq2aYzQ6IaUKrysXqgpoT2nmsUcxbzzRmrLLMZi377YyiIaZEyJm0OeZ88wTnGwyKlEW5mHKg8w4N5KpIQcqyphC52CxJMWKsAW1RNZLjtGOFC+M8x4xuLDUKR/dsOPs6e7zs+MNWOZSqRF3opxFKlubNMhGs25W2KIx1RDIVTdYKbTWmKjKiZk7TRixqxhFSYNYsCLVQS0I5jXOG9bhEa4duGoYhoNKSw8WcoV+jamZvts/hZUvY9NSi2AxbYowcHFznO7/re/i5n/tJ7j98Da0svtHsH1yjFsfzz7zIV776eZT2osrUII+0FMi50HpLDmuMMjz/0qd48OAuU96y1zpmjWc79Mw6w/3jC/qQsLahVMU2Zr74zhGqVrKxIkjURAiJMeUdo1y6KlTN9NsnXDu8wcn6iClLi2nNA2PY0jYWnUBjiSGiFcRQuXHjCuuLFRfLc0ISLnBImYxmKonz/hRMoVYDVuH8TH4WceDs4oLL+1fZ7yyGROMqbWu5dukS1w8vs1jss96coTHoWiBVchowaBFKVMOYBrRp6XTmmz/6KcI48JV3v0pKSUr2ponuYEYtmhB73rr3DolIJUIVO4dC0cw8tRbylFAx4xuHUiO5BPpSufv0PbTTVDQpFykxqYHzk6d84qMf5MXnX+b+w0coBUdHj6iqkNNInCZKUSgLKu92+qpytu7JVPxsjzz02MZBteSwBaXw7Z6ccTGipkCpiao1IYw4Y3HWMI3yfWkOrqOGkd/wnZ/gS196nePzjVh0fMtm2kiRV04UbagpUHMkloxaXvDS9dv8a9/8QW5fmfH6e6d8/ivvc/fRPTSFVDMxBW5dPqSxnvdPBkqOaDVSisLoSk2VbU4ivCTga/0kGiiKvYN9+oseox2xjJicMdowxkzrHZTC8SpwdLHl2ZvX+fe+57s4Otvw07/8JVRWjP3Idtsz5UAuEes9bWuZxoDzjjwEBm1JNqFcyzc9d8hyO/L60wvOVkd03tG6Ockmqsr0YSLHQGM8dffIrqV+vV1UqQLOcNDNsNayThNld2lVlahTIqpM27bkklDOUQyoMOJdQ4nSRTKzC1IOUmmfk4h+NWBNg7OeIQ2QlQx4pVKrle9Fqcyc43i55QtffIPVqufBwxPWk/TFLPsVVy7fBGU4PXtKRbMaNgBob8g5EmuFBNp4KBWvLbbxxCHSGkefpq/3ROSs2K57lFLsH8xpGkXOp6iaqRH2L91gtTmlak2ME9iKs4qHJ0vuPz2jankUhRgI/bDjhRe26w1OW3zTsuxHusZw7cohq/WaGOTsafyMEgpGB2LRYAzWNGi7E9tQKF2YSqYxYKsiRXCtJpYEZddHYyI5ZkrVOK944c6zuOdv87O/+FOYWllvh521S5FrpjGWmbW8d+8pzjuuH3RoJY3yz1+5wi/ffZeUoVdrqhaLkbEQc8YrK4OtKuQaCdlgjCLkkcY5Zm3Her0hhB5rpc+lIIO9NoW66xQINRNypmqx+VnloEQ8hrePj5nGhGbEWCh9kHmgZOa+I+RAVIWcEiUV7K6LIozjrrhP4aww5adxRCnFlCZizChjGIeJR0/ep9ZAqZX1+pyziwsWs45aFXe6GdfaGaTEmEUwCyGgjWHmW7b9Sj77qjHayvxbIiFm2XgVgIhtPHvacfPSPg+XZzxeb/7VDfElaxZ7c5arc6rWOGvIJTDrPNNUSbXgAVORLwyZ+XzOOPR4b4m54JShbVuUFuvF0G/Z9sdYCzkUvLXkuhvEU+T08RMO9g6wzjGFgcdPT2hth9kVB3TdjLjp6XNCIy/H+f4t1uszStrwlbdflQKCVIjjiDJfa3DNpJJQVkNWeO8JJRNH8WJpa7BRmlNDiFi1q0/PlWHYME4TFQ0l0zWOF24/T1WWuNkQSwEdSVPk3qMLtG1pu31sjGg0xxf3d+U64KwH8q6pDP6tb/wG3nx8yr3Tc168eYeT8xXn/Qpj3a7oJ1PJqNYTQ6VqQ44j1mhqhlwMyllyyRitpPiHiHeWxWKPYRjIIZI1pJip1dE4x5QCpWacVtRcaGaeMWSst+Qxk4xURFsLpRoO9jq+5eOf5OJnf4mxJkKcyDVjnaWUhFKK1XKNazzSSppIuWKQqnHdVl68cwdWF5Q88KWvfpXlsN4VToinWnUtYZp25QhSeKKtxWtL1JB1wRkLGUqNkCrWN5Qq3rZuMScMPVY5Qqxkk9Cm4pVjKpWuabBKE8NEKhGUwTkHeKzryMOScbOSbVNnqEoutMNuJoepsninGVNBxchydU47a7i8v8fi6m3uvnlXipCmSkFKK6zVLNqOFAIKGYKzNpQQscjvX9c2JKeIQ8BpyxgjxilSjKiq8RrmzjCpQqMtB9f3efDomHGIGGuhQJ8Hcp1kuMYyny1Y9xcYJzawUiraWtrG04eJmioKi9GWFAPV5N1ApkRd9WJhGcOAcQ5dWuYHB2xWT2kaeczUGtiWiW0tzGZz0rAl5kTZrmnyjBcu3UJbzXlSPD1+xHJ1yn/3E/81pEnKjkxCU5mmiRBXfPnVE0KOorqalhSkGMRqw6ybQc5MMXB4eIOrV27z5Ox9NmeRW5eeZYxb0JHT9QqlGj5158Ncv3qdn3vlF+iniVCyFI2VChSMcmjS7gHlpHilZBrvSDVxulqCdVy7/DwnRw9pvGO7vWC5OsPjJPthLLUUjCmME1y//TIP7r2GUYZ+Chij2J/t8amPf5A3377HxdkKrQspFbQt7NkZaZq4+/YbzLsraH2NIRqUmugHyWLM5/tc3bvM+/fu4U1hyknUtgqX9xZcu3rI4+NT+k1BV7EXnS7XjNNAIaK1wjqLKpX1dkNOYqdCgVUtTTNnb9Zw9nTCNjO2U491Fm0aLu9f5+TilJAKSstg1Fi3a+jN8v3WUrZ19Pg+P/Uzn2axOCCmCATGKGq6lOVpFvt7xDjibKGkLO2cSsqW0jAA0hDd+YY716/x5OSYRJRzpmsoFbpun6FfoSlylppCNaCyYXV2AU5xttyy3m4oaWK+f0DIhZYZKRZqDVAtNUtJVeckZ/HOu2/x9PQ+ne8Yhy3jVEkhc721HPUDsSZShqZxXDm8zNHZU5w2OFtJOVOURrtKGjJWmV3vk6JMsjHdLrdUVUlhizKaPqRd+RNoI62xKSaU0Vy/tM+3f+qjPDw555d/5aucDCeMZaL0g5zPgMqQp8ysnbNdbfGNpxhDmga8blmvM9U2LGYzSt9TsrT1eu8JoRLZYnVDmBLGgPMN0zABadeqabDzGdevfQhFZPPe63S+IdVIrpYbz1zl9PgMb1qGvERlhXctY10TY9yJLYZp3JBL4crlG7zw3G2+Mp5iiyNFUKqirXi2XeNkmFPStpzJbONIovDFV+7y1bceMA0TQwhAZIwbzjaBGCIxTBSkGK/RDmIl1okp1Z29qeC0ZzvJZ4iSTVSKCec8ylSctZQwkqvmyfl7OKUwaLAdOSe8N9imI409tlg0lRgyERkcZ42nH0eMVey3Cy425yg8zkk7bUkZtGLezvlfffev46d/6TVee+9dbI1MkwymRimKkZKlX/uN30wqii+9+kUycg7WUklKoxV4q1ApE0PCNB2VSgpxV2DoUCWjH30FjMVqh1aGrMAZg7KGVAw5KTYpgxab6e/6Td/Co7Mln/7i2zxdD2QFqUYsilwLVSV08VQTCRp0lkK7SiHVQggVoy05V1bbngo4U4gxyeZCizCllaXGREwJ33pMM6dME8WAX8xgEjua1nK+pJwpWeF2BWTOd/TTgNKGdtYSxwzonWhcKFXR2F3+x4gtupaEN5LtdN6DqsQUWa3PWSzmjNOIUoaqKtvtFqUsD1Kib2YUO5P2cGUpqmC8IrnKrLsif+8pop2RhvOUaJ0mlQS5ktAM00RVgcsHh5wPq3/pAf5faIhXpiGnSmP9rkBPU1Qh1Sgt0UVLlawzGGSQVNpi25YcpZVUWs5kwM9KQpRKifruvMG2ntKP5JppZw01F9brNUUVnJemWEomAY23HBwecHR8glYFqqUUOL14BDnRNh1jGChFwg7WKHKq1N3l4K2RYFh1lJgxjXxhStl53pE2uhIjrnVcu3Kdk6MTcopQRXWyxrAde95/cg/nJMygNdQcxaOrwDnLGDfE7ciHXv5G7j16m2G7lQFbG2nDzIGqLV95eMY4QayRo+WKqg1+NqOEyDSNGNeIh1BDNZWkMs2spYREQaNqoOQG7zp0KVSrKNlxdf8Sd168zbvvP2RzNOKd5vLhPsvtllADe82Cj734QZ4c3yPGgeNx18TXS6usV4AyX7ernJ1d8E9/5lfoxy0hZBrX0GrPmIModzVL0DlHXGPZbHqsa6i78NpLz7zAd3zDx+hO3+bV+0d89dXPcHjtBZ679hJffuXnwGjadsZZilTtKSljncPiuLK/4GR5jvUzhu1GQj0VlLWkHHBOMQwjLlqcbWh9Q9yu2Q6jZLCMZTabc2X/Cudnp/LwqBLKuXr5JhcXp/TbNU6L1xYqQ9+LYmsVxlkKlTHJYXp4+AwljWxXZzx3/TZn5ye8ffdN0jSRq0bXLFsKVYmlkrJ4YAFZ7ZcAzkmLb4qy+iuVKVeiVhijqUXTNpaSJkqoDGMikjhbgVtvoMqaMJdMzgmjLMZ0OAW1Bqyfc625wdHxU6yuWOMxriVWhW0KoQT0zmJ07eazbNanbMeVHLzeUrWWEFxtyCFR3IjZRPHDGoupoIsEQIuShsucI6XIEGMr3H1yD60qYzF479lr5qJeKAgpYFFsg6bViXbeSShIKWJMeOe4ees256dPUTWRY6AUz6JdQN6iw2Ou77eEfsH1a89ga6Y5UHzhlc8z9onHq1MenN5nG0ZSThLBzxp0opbMbO8yTesJORJCxllDzZGQMlSL1rBdbYjhMe2849L+VaZpxBlFygmFbP+MVlzav4w1ju1ySVXipa4VqnFcXsz4yHO3eOOtexRdcdVRS0RpS/Aj1RmW/ZIvv/4F+vHjHOw5jO6hJJRp6IcVYwwYZxmnDbEoWqPRtuEjH36W//C3/Dr+yt/6NF+6e5+aRAl7cHIPMOTiMDisgpSnnRdTHmvaGApwfnrOptd4rTmczYjTQCgF13iUs7TeM4wjBbBNSy4BjabsgropRrq2wSvD8uKYo5MnpJBpvKUi6m5VFW0VL7/8Ek8ePWS1XKK9psSEqtA4J5unGCE6+tKz3lpijqRda+pCKULJpGmEnLDdjFwgbCPeOdpZx3K7xqD5zGe/RMwF4wyrtQzPiiwDm/dMU8QpEVQqMJVCpnCxXHOUVnhbGfrKYduymHmebBOtcRwvT7jol5ChZk3THZBjRKstU8pyp80WkgV3CVMVSnsJXpaEMg5lHaZUtM7omsFaYiqkWlE50biG+8en/OX/5ie52A4crcUyZAfIRuyVtRas0ySAGLBWM8VAjpVZ59lOI6+fJXQxTHFCGY1pOnKcQHu8aclpRS6y4cQZqpIhyGgPVLzXNMXy/vtviIBRK0oHrNI459lrWjauIcYgoAkSJURauyCUkYrDGUesCeM03nouzrfUbMi7fFXSO2XWTnjjyUEanK0xWCND9XJzQWkO2egBtCbEQbYppdKXDTUVrPM460gxY7Sck1QtwdMponUhjBOumwkMQksol1KYpolcK0O/RdeK8ZZiHM5q8pRJYcBaz5PzU3IO7HUOb+acLpdolXFek1Csh56U5Uwex40Mq1U2HKoqcgaN5uxsxU/+wmeZ1j2t09jaMsUoGx2n0aliGstqGCApikoMX9u6KY33FkpFVcNqe0GtFTP1NM6QVSFVBSVj9Iybe55nDvb53INH9ClLSN9qSkbU5NkBcVwT80QfIj/5ubeYQmWI8PTiKTUFrPaUPNG1M2Jy0gg7TLRdy5CyZP60F8uYVqicSCVjdxtiqt61de8eSjrijKHqOV2zR+CcqkBHqEpyaaVmtLVMYcIbLVuIkEgqSWA3JipgMdKmjPx7Uko4Z3CmYIrabdAqtSDWzlqw1VK1Yt85RpUIKqBKxOwsVgaF9Y4pRYaksbrBFQXKoBE4i0qavcMDfstv/vf54ud/lq9+9QuMw0TTzbHeUkOPVgbfgClyVyYyrzx9zMV6+NWY4f9FlPiJYZy4eukSZ+sLTK1o7VBVwimYyKc+9hHev/+Yk7PAwcEh/dSTc8SZjpwSauawpUiQD43XjqrrLrgBcRRFVJdKmhIpZ5zRHOwfsJkmpMzdoI18+E9PzmmqIVapNE8x4VtDTlm8urUya/cwVkFJaKOZpox2GmUcpof53gGb7QYdpDpZASmKJUU7CKkSU+Lp0RHWOZwClRNhV6HstZWXXA7iF6ri/a9KMYVI3qxRxuCdZ7XeolB0c8NUIU1RfMnGEmLi4fGR+I5jorcTRjeEaYQU5PVdNdo68VeahE6aQuLGtatkZTk7P8f7PbCVMPaUDEUVlqsV/d0t0xDY35sRbcXNWpoYSSEwhcDJxQk5Z3SFmgJt41HVUqqi1Mitq88wkqBfkbaW1XYg1YJSRlSF+RwVG4ZhS8ngtJWXuXIoZVGqoEyLsw2f/NBH8W3HP/rqfQ7mlc5oxgH2u31i1Tx75w43rlzl81/+AtvNgNEKyFSnuZi2VGWZNxbnZ5ydLKm7dZWqhW1McmDnQq2WojLdTIbmQqWmgCmKvdkC7xuWF0um7QUpB+4/eh+78/HFBMoqfOtRsZArpJo5uzjlxStXybVwtF2zPn9AKnJhvfrOV6FWxhpolKLRmlgLCk8mYav4y0uuJER53J/PSEmyFbPZIdtxja5gvSHHiEEx7yzbKaJ1h+0Kxi3wxtDVnnXfk7Mil4R1GuNbqrboHNFe4X3Ht3zDNzL3M/7pL/8yIa5Zb7dcny9AedZxwjnHjSs3UGQenjzBG8PMtPRxIta0e9B4WjcjpIF+7FFZ0bpGMhH0OKMoyuB8x97eVc6O7uO9R7H7mZVCSQWlitA4FguKktD44ewQrRSb0BNypE5btLKYWskVjNaEIOFMUzUlKxb7jg9d6zhsFFNd0XmHqpnj5X0ZWs8DqipCmni8esSV/Rv46jGmEEqkGiNKVNZsVhcYb0glUHMmFIVGszdfMA6BzXAuPtW4IQ7wcPW2kH0yBCW0Ku+a3QbMMw4XpJqpRXN4+Rbb5QlN41mHxP/4zz5LP03MfMf1/Ss8OHuCRnPn+gv82l/zG3nw+G0+8yu/yNnpA168c4u2MRTT4pzl6fkpD1cPMRRMdRzOGlEs84SrjsY4vG9ofUe75zk7i4QhoI1crErLmYOSTUROFmMr2mnSFHDOkkdFbR1P12umnKixYHLldDPCzk/eNAuUUoQxEpMEZVUtWGsYw4TtLpHTgEjrhZQDxsrmK2SDpvLWV1/FNE7W4DHTdAtKLUxpwihDrQZxoBROL84xztFay60bL3CxPGa7WVHTQGs1OVfm8wNSPMdpx2JxyGp9LuttY/DtjDyNLBaHpByZhiVGFVLOzDtPALZ9wPmGxrVcWxxwsj6l1IGYNI1XOBf46I3rPF02rKeI2mVVSpLq92nsd6FoefCWpClp2ln1Eq1zlCLnq8KQdcGUREZTtViSDrs9tkOPUgkaiLlwdL5kO75Fvx3IVWGMI1fFFAONseiiKCHSNDNU0ZQyUbT8nUI/ochkvbuXlKIQaNUcqhDdFFqU2ZKw2qJ3le+ZirMydOWimfLEwjlWsVDJpKJRupKHDY+PHNrPUBY+cPU2D87fJQcZlnIqKBQ5iaVv3s04X1/w6OIRVjumAjNnsKoy5oRzDZf3rqAuO969f4+SC945VFIY5wk5oDKEHcUop0LjNEOOKCWfpa4SIB6LZBeM0pSSKBRqAOPn5Fgk0G400xSgSFbPojFdQ4oJXS21ZkLIoA3NvCWXikKhi2He7eGc5Wwpd1DTNDBllLIUFdEUopZZoFQtD2YKMRdm3QyVC8dHZ8w7yze8dJuL9ZaTs4gOazAO2zimuOW1N19BVUVEBE9doJAJscdWQ4gJKBjn6KzFo9goJRQrlTGm4eceRNrjC7ZTBl2ZdQv2b9wiTJknx/coqRewQ6molHnr8RklZ7pmH20ytSac11ANMVRSTTTO0HYL0JaYR5xvuXRwg9PlESlPFAWtb8ixYrJFoVFKRNAUFQYhonmrSIyEkESEquBUyzQFGcqxgCGVSs4Row3Wacn3eENMCoPMTUZXqiqUrJhyFQVcRaqMa3hv0UrACRXFYdPx7R/7OK++8zbvnj4lTwmnFaVU9vyMi9BTqgKbePfJ26iixIliOnQZmEJCjRMP3n2L06NHhEkewzmMWOdJppKzIAmvXrnMnu+4f/SU5TYypPivdohX2mC0ZdXLeqFqIyqGNYQSaLxhzy24dvkKZ8slF8sVRmusmdG4OXkK5HEiagXGEFPBY4i5yuooZRrrGWtB20itRS6dVFhvt+Sid4dLJtWKrp4QRva6GaVxVBzVVoZhLb8s1qCoTP1GfFgKcqnkUvFZE6mgDP3Qg8pYrdFVcemw5dDPuPvkRDYFGFpnxfNZkZAkGmeCBO1iZZxGGmewXpMlm0RK4Iwjp0DNhawTx2f3SXli0VnyMFGpuKalxiiDkhFUpTGWfruitRpdsoTslCKliZgjLjm0rqT4tRW5Z9HAeq2oJZPjSAwTWsuLVDMRB4MqMAyJoiqn21MabTAFiqrcv3hKjYZEYn+xoGsWqGIYg8HOLM8+8yLLzQlrp1m7DavtlhuLZ3C25eTiEethxcvPfZiHRw84Xy2xtiVMGy4dXGGlTlGNo8SC14Wz9Zq7777LaVL0o+bo+IKUvsj7997AKnhw/x5HT48ZY8ZYizOGaRpomxatKsPYU1RGWyeqERVDZN7N2Y6Fw8UesSTW/UiJjjJO+K6TDdKYGXPg6OQ+U64MIcvlhSIkwYhBQRtAacY+oFWhaWY0WqOq5uF6SwwTVmkyW6xpKS6ScyBN4ieONaNtxXvBS4lVB1pjJGCDgZq52PaUVGCHe6s5U5TYlijyCNtMkvFwxjDlQk0Dw1TJqpBxaAtGeYzOKOcpcaLioFSca9g/OKRzM5q24fL1OebRYzSR7bAFEjnDNCU659FochLbipCYGnJOWFcZpxUHe5eI44RSosQaRLHLqoiKkRXXLt8WckiNZFWw1qJTYioVoywxJ/rtWv7N3nGwf4mL5TmHhwds1itKzcScaffmMEyENFG2Bas0tVSMMvhcuD1v+B3f8gz/9PUT/t6Dc3KcOH3ykOwECWmUlSA3movlBTEH5nOPq3KwplJR1lJL4sp+x9HJiNWK6jwkTT9sSSGilSKHCe0Mtmk4PJhxcnzMVAWBN/QbsgHt4GJ1KivllEmpsl1d0DpHjJFximxz5t/46EvcP++5fvM5XGcZi+YjH/wUhwe3+cXP/CIPnz7g9Owxp2dPubSYQzNnvd1y/+EDzs+W5KJYzGZcu3SJd54+JtXIK3ff46/+nczdtx/Q9ytUmqG0ZdbOSFFsfrUWLl25xtnFEZiKsfJzTjUDipQrTWux2mIspGyoyEO+aslg6GopMch6Okt+AIVs7pTDOMWYe6gFBXirUbuMSTEaUyM5F9Yli8VQKaxSDNNIoz1Ot6Q4CWZyHMm5Yr0HrXB+zmqzZbPeUHKg5EJfKtZpxnGNRNQz58sLjLUYI1jFg4N9ToeRaewJNeHnHY3R3Nm7ic6Fu8dHGO1EpVOKdc6MIaGUZYqBg/klPvL8HY76U9Yxk1Rh4eds1+uvBw5VnXBti8oOH72E551mO05oVYghoLQBLWv61nraxrDejpJkrol+3BAq5FKg1N2WIzKokRgnCcfnQilRzhOl2Fu0TGNiCCNGFwkzawMGsQRUTSqVWjKm8VRl2E4DpSpmXQehskkJDDTOEGMm14qzDYcHh6haiRG6Dl64/TyvvP4q49TviEAVXRR9v8a1gtvtS2QcAqUEQqhY11BypOREYxWVRCgR1zhKTHgvj4i2mTHlM3JS3Hv8ENd04OQ+m8KAQzYlhUShUlSlpAnrtBB2jKNmEJk7Q0W+31WJGOMsFkUfIy2KUCtVVwnMKoPyDmMcJQbZPBuF0g6rCuOYUC4DFlUUkGis5vRsyaLrMAZCge16kE2At+Ro8Vhiymhl6PxcsiqqYKwijJMM485wdXHAv/VtH2abIn/t73+WUr4WBNXkvoAKeOvQxaKMZjHr2GxWpBipuoDRdH7GYu8yq4tTpjRQFfKdsZ5YM+fjiCMTS8a6houzNSoWEWpyRpWBYjU2Oy5dusR6s2aKgZg2KODKlWsMYSCOhc45wi7kv0kVpSPjuKU0M07PnxLiVmhLGK7v3eD8/Jiik9jWtDxmTC07PClylyuxAOtqxMYZw847XyhF0K7aa4gOXZWEeTPEgGwmvGaMSe4sb7m8kG1cNgqURaeCsY62taQcMQVUsZQMP/vaV9hstzg8U5lQRoSjVYhCTjKakBOqFNAaXSFlsQhBZbm94J/9/D8g7CxMzhq0gmkSbDEkqm2YxsDV/TmLgz1Oz053UI1/+T+q/vOAKIFLh4dM44T1jsXiCjVnVtsLSg5c2Ttgb+bJVbEeJjb9hoyGYmiaGTmN5DqJz08hjE7mVApWA9owhZ7G7rGNS4wyWGMIQV5iBfFFt00rJI9uxgee/SBfvfsVsVo0DbVqKImiMrlULl+9zfHTB2gKORZcY/HKMKaIMZ5KoeSENYpYCjpXrPMczBsOmpa3Ls5plUVXRVLgUSQQio1zjOMFqYC1Lb5OxFxo/YKQk9hdUqJtxD+dS0JbSFlDzihdiFnCFoqKdQZdYUpFLhInD5BasthEosDtaoWumTGN/c7fJhzRlOVgMKalVgc6QJa1XMri9cxKo4BcK7XK6lqVCaU1qSi0gkt71wg58sz1y1w9vMq9o3tYd5mPfeSbuHW9ZdYoVqstb9x9mzfv3xcbkmk4u3hKipGr16+wvthQS2KYBsFp2hnGCHt7zIk8ZfYO9uh78fLvNZ6LPpFJOBRDEvyVNkrwVRcXUBOlBIxvSFkwnRZDVYqcR1QWtCAotDHcvHybKZwTs3jRWz/nA889zytvv0UtkZsHDc/fus4b989I1nB8fILSBl0VqEJKUWgfNWFUs1M4LSUHpilSjEFVy9W9Oev+HGzHlDM1B9lcZPE0pgLOz1GMQCangtYWbRQxaRZdyxQESYgYDqjR0DhH0Ipx7OXRWDK5JA7mB1hrWG3OiVXRWc8UAsoYrLWYKqvDVQlfRzsmpdBacenwUJBptZJioXEzuShrYJwmcs44p8WfWipFB+ouZJxLlgxA21FLYja7hFKefnMsFBznMBRCCBKy1Q7vKjVnUgVDFfKEqWQKznjiELAOYqlobSm10jV7KJXJJaKNYu47ztY9tSZ0loxNNVooMLVwfdHy+77jRZT1/OhPvU2d3eT49AHKpN06vVJzZSoFrSwxjsxmHU3TUiqs1xvmzYxSIgeXOs6OllSvxQYVwXvNrf0FSSvun5xgq2R2rJHNR7UeqxWh71EK9hcLNmn32NgFcF989gPYxvHo8UNiyqA1z8082xLoFjf5rf/aN/NLr7zFnec+wqXFAT/1Kz/D0dN3SaVi1YzGaaqWwU5RmWKg5CqBRiWPA20Ke/v7bLdbSlYoW5imjPUNjfLEOGCdZbF/mWocp0/vi61EK7SypJypUdRy1zakOKCQzVYmUzJc3r9KH3pyTJQqqN2ahHpVlRI/t/ai6uadMqjB+K9xzS26gjGZVDU5JZyxgks1ioz0Ufh2nxAGKEnO/NYSQ5AVeNmVOVRLihON88Qqlr00ZQklakVN4os1xqABZRS1RjSGXGVNXpVh5lpuH17mndOHHMyvMeUt4zCRi2xhyZkpTMwP9plZC2FiCppsNH3Y4IwjjANd49HasFjsc+PyDZbbJeenx7z03DPcffRU7oCQsUahkUHZtEaG7RrJpZBzImNpfcf+fM4wjayXS+beSwjQKeI0oZQSW6m2QKWUjNGWxeKQMQykmOT/77fEDChNSmLt0LairMcZAToYrZm7luV6TcwJUgAqyli8m6ENzLo5635NJNLqhlIKMYygBN0ZSgEl23iXNaNCVNtaQVuabk4Yt+iaWczmFGUZc+SFF1/i/ntvMY2BMCXAgNFYpygR2saSUyTWRE0FpTVd6xlSomSDMRGDJcVMweCd2PZSlS1bKYWUC5dnDc9d2wfjufvkTKhbSULtqMpeNyPEwNhPQvOyGlUS3nfoqpl1+4x9ZBPE6lFCoGsbYszsHxxy45lrvP/++xLqR6GNbDJ0o0lTxlawxvJdv+a7eOXtVzhfnhFTolaDaxURzcxZXrh2hVQLdx88JlWFKkK7U2hSyuwdHPDM7Wd44+236Jo5ly9f4fGTB4CQgbTRhFFU9pgEm1mi+NJRFqct1YIx0A89rW9RrlJDRbmCioqxJFSBptkjxS2lCKmvYljs74tdp2pe+vAn2PSB9977MjkmUhCSUNUOqxxWBUZZZWOVx3r5fteIoGat4pMf+yjOet556y7aGrbDlm0/QAVjnWQmpyC4451qrqwBJda7VHa2x1SwjYdq0FqT60BRlj3fMQ4bXrx1i3cePWYKRToDrCGnKtvIKoHaqiNa2Z0AW3BWE1PB+JY09fII0DClzKwzhBgxePnMp0jbWmH8JyEVaS+zyTiNpFBEGCoCR7HW47Uj68p6s6GU9P9z7v5V5cTHKTLrHNNU2Gy2XL16kxAHxmEi5kRrZ9w/uaBgMarl0qJh1Q+kPJHSiNEaZzzaKJy3zJo5U0iE2AMViyHFHoMh5yzAAi3fbacMrZnLy9NqttsNb77zOgfzOZttzzgEjBG7vfctRY8sTx4xaxxTTBiHkABIJGXwaodXw5CUZnHQsd0uUVjONj3bGGm0ZypFmL5hwmiL9Q3d7JBpuyFlhbcLZnst6+XEJ557jocnSy4m8WnLD1XY2AoIIWF8i8YQioQ7XLUoVSlGSUhDyXajVrH21FxxzmC88HhTyUzjgLUtYxqoRR5X660knKWcY4BkmDUzxrjluStX+Nc++g38wy9+ibNxjbaWEhGrQdFYo0ErrDKUNGKs5pnb1/jIRz/Ko0+fsT+7xK07N3juWsOzV66glOPK/nWmYnjzrbe4uDgmK8GCXZyfkWMl5QTKYBUYnWmahhACzihuXT3kZNiQUqZp9jjfbmWAzpEEOGvxTYezDcN6JYjFIKp7iQmtNVVl0s4LeefKFaYQuBgm0m5dq1UmJU0/jmSj2Teeo+MzbK1UZTjbRDbvHtFog6sKp4S03bUt680FzspgQ1HgKqEEwpiodUJXT8qFb/ymb+LZ/UvYszf50tkJm+jYnGaqc8wP91gvz8h5JMY1nd9j5gypSaSYJOhSM+PYo5UcUG27x7Zf0jSeO7de4M1330TrKpuGWoixsBp6eXTFijZCvKlUGt9inITDt5OUqMlwI+VapiouVmdSVDWJD1EryDGzf3gbZ3vG4SlTLvhOk4aIty1xGom7EPmsbagoIplxWuFMB8VgrKfoQoniN0QVqqoSao1IyRaVxWKxK9aZUMXQNgtgwqgsA6sxxHHFnYNrHM4sj4YVcRpYuErb7rO8WFJ1IiXYd55bVy/z1qMj/m+ffchh4xlywMQRaxXDGLlx5Sbn56ekLAqmMopGOQxWcjK7EF1IEzFM9I97IQLtvNk5FyItZyGSM5K4tIIlnYIQhIyyXLlyneP4CEoUwhGGw8NDYnD0sTKf7ZFJxJooJRJD5M2hoIxmr2p+5pc+z4OTEx6fnJPDSJ8CEUghgDds+3HX0+C5urdPBIYy7FjSUXj5xpLHiVoyYUq44rFKcfVwj81qJUp2qWyW56DlrDFKQVGUHGUjaGUTpYIACNCKECZSynRdB0bReEsfAqkqwd9VYYJnVQU5HBPoijWWqzeeZ7k6pqSRxnf04yADu2uwpZCrrOQVGmM8qkS0VaQU5RIdK9oj1pDikMWUnDMlRbTWwshXBophf7bPajiX7W8LOYrNJutKTQYQ2pA2YnHTBYY88Nbj+yiluXX5Cufrynq9EgFq3IkoaPp1zzonOme4cnjIGBK6Nnz0Ax/i7nsPWY1neOU5Xy45Oj0Rygnw2rvvU41ChQlnGkrNksNShpgmnJ+xs2OjkIGn1MLe/iX0ZsXQD+hWE7YDUypQZHDOSbH7kVKyDDnr1YUUsXlLiFECyLVidMU4C7ZBh4AuilQipVSmKZDbCePkvHPOoTUo62isoVnMuHX9Rd5+9y1IW1JJpJBIqdA1QkuZL54lxwtCGbCth+0G+boUdLHUYaDGSHaGi35El4rvWtJ2xFZHqIKfVhgSkKmgK2PscfL8F9RhzqQsoVBjoKRC1YlqNNoI6rfPRYqXipQyNspz/XDGf/DtLxEj/PhPbwgFchhxTh4jURemMeK8YxoDVrWEJBudXAIv3v4QT9NThqzEEtlYUoUpF8Y48eD+PXIpOC/DnbUNWlU8UJwlx8TczzlbrsVTjqKdz5guJuIYKNqw7Sde78NOzDFQJoz4CVDGipdbNxyfnDGTrj+sm3HpynXWq1NSmMixClErVVrdEXf2olyqsNE1XL+0z+l6QtWRWCbqCHM344Vnr7MdIuvlhrPVOVOUOSFNBas8Lz/3HH3c8vDpCWTFO++9x3x+sCvsBLUjVGnlqTWQilifrBJ7XQl6J9aKHaxqePTwiIPDOSEm7ly5zLqXQjxrBYaRdg4NrSpTThgr5XipRrxx5FJIKeGNpaZEqXD91h2enr5HGAcmq0nK8ODhY4oqNK0hZRF3rHGSV8gB7zsS0hGkqwElmNG9tiUrRayFXAq2yNlPLkK2KmlX+KeZxghGhFcolK8h9qIIOrN5w3YrWaKqNVlqIsV+/avw559bie/aOWpX1vC1139GvvhpChgrdhdtGlRWfPsnP8pX3n6L837CqLqzDGScs1/7p+JpUbYyhAmnrLDMK8zallgL4zCSdojBm9eeY725YAwjNRecU5SkKMjaMNWIsh01S/BGa2hax3rbY7XGe08JmWQqJQV01WQ0Sjv29g5wtsE6w/L0Kc5W+lHUi1rFgoNSNMZx+erzbMdzVttzvDUoLHkYOFh0nG8Gsq44V0lBFMy2neNcK2GjXZreegm4pChlTUor9i9dpl+viCmANjgtyLnFfI8r+7dQxvDw0V1Qilk3Z4ojKQnZRrzshaIUSkGKFasET/WtL7zEr//YJ3njZMmr773JvbNHxJqwusE3M0K/IdeCMwbvFNbPWXQznPOM48it29f45Ec+znd+4yf4+AeeIVXHl994zN/96U/z6mtf4mx5Sj/0KCxaS6GUtYYPvvAiT4/OOVst0UaRS2TPNXz3h5/j02++Sy4znrl+m9fuv4I3FpTfPegSGo82llyCBHBiRmkt5Vt5pBYFumKUp7GQ8tdabBOLriVWTSoTqmq0gY9ce571uOV8u2SqYnXIZExK0jabE9VqqWUrlda35JIZ4wiAcw5nW1IeUcVSVeHqtWt01tBMG5Zx4nwbmHKhMZq6C9kSijyTiwSRqrPsLw44Oz2SbgIEt1VVpfWWlIVk47VnyqOExUtGI9uZkoVYMQ27Fa2ru4BXpqiKUg5rd9QVY5k5T62anCNJG5577lme3LuHbhxD33P54BZjEhuD17DNmbbrmMI5JrX04ZQxK3LqOdy7RIiw3ZxQq+LgyiUqLf12SY6BWjS2SujcOE8toowqLQ9obQ1pHBGpxeNcQ5q2pJSlLMN0WK35X378Q3zimUv8t595g/eWG+wuZDSVyKwzfOyZG7x48xJfff+U1+8/wVp5PISUUUo2EkpJy2y/HdCloP1MCBnWkKuhnTc8f/smb731LimNVG1oZnts12tQeefhjbTdASoGOch3pBytFEUVtNaoDE23YBx70k6hbv2MmzeuM049F+sVFovWijFNaGMwRbO4fInV8pyaAlpJX4Z3e5icpIhkGogkullHToE+J0ySM6ybLejHJVU59ro9ruwdsLx4yvHyXNbPO/FDFbhy7Rqr5RklFjq/xxRHag7EJOhZ7z0hRoqq8rNCsddYjNcst5PgH7Vm3s6wVpjiNVWSKsQgNq95t5CSthR3ql+mKEVjDwnjmimNaHb4UrXjb8/n9GPPOI5Y30CU8K9yIrSjpLnVIDz+GAtGK5wTZG8peVdyJWAApxzWGoYsVImcIq1zdL5lOW6xaGlCTnKO99OItxpdKjELVMEpjfGKOEaKEYuFNoZhGGmsE6ElVm5eu0nrFE+Ozrl1+zmeHj/CK0OM0hFw0a9QSpG1hhRYzPZpWsf5ck1KVVb1SuFMQ0b8/1PagQkAVbOg9Yy0f4cw4qiMRZjpJQasaSUH0VlizoQogoNzjTyzUxGxzBnilOjaPcY40TpPjD0hVwnyFghlouSCdUK2cr6SqxassDF0tiPEKFbOHa2mFCUELyKdnVNqZJy2ElJ0Fu/3SNOaYRylNC0mrEYENCPFgLlGwhRorOVwNmcdC1nLliSFEe2kSbvytU6aii7gupZSEjZnpiIN1V5VQhSfvtnZaOdGc/XSHt4UfusnX2KMkb/5ma9y0YO2ipnrGPuJrLIQlrRYNLxxpCwihFYVbz1TzrKFVKJUp5B2+RzJTRUSnW8ZU0ZVhdGWa3t7HK/OQVVyUrutplhx/KyhTpF+6vGtIybJdDltxE6sLYpJBnCMPHJzQTtNYw0xBcrOlmKBGCu0lsZqcqhcv3qbJ8ePZMNWClpL7uDjH/wYR+cDDx6/Q6qZbAymVtqZZW73eOn6TT579ysUrdBZNjIpZS7vX2IKE9s0YXIBNNlBjVl+5jXvLGBi31NUYpWtbJgGStW0bUNIk4gfSUnQWUvwXwcpKowlo41FKwEK5FzoGsuYAzlXdKm4tkHVyjgFqobGOwiJhObq1WucXJxRU2Y+XzD2IzFNKCUN4rPOMoW460VoGKeR6izzmScOPbP5PuNQKXEjbouYSEUKDHNOGOS/oRLiRI3yuFDG7rb4SEA8C1a46zz9KHRAQRYraoW9bo8YC6ebo/+/SvuvqhKflbShNtpQjPiPlHF03T6T7ik17RrnJoxp+MyrX2WqBUsh7hLX1li0m6FqZt50DCHRTz0gvqiiNI22dM2ChdU8nY5xWpNi5OnJUw4bx7e98CzvbRJn63Ou7Ck+fOWAX7r/mPNQ2JstiGUkrnuKgjAFyJWqBXFplSAUxf8otd5DHKh5jl/MWS7PmeJEVmI/sdZII6vxjGNPSANHx3elWENJ8NDpSqmZ8/WGiKKxDZ0zjGEkI5SOnKsopt2MzjuWmxXeaAqT+BZLJW62dM7tLieNUYXqLRXLJ3/Nr+X1Vz8vj5Wc2W6W+FYGoxwrTltSmtDG0hjFNo3MZjNqrTw8W/K3Pv9ZYoLl6oQY4s5iIV42jQgApWbGoDBlS7/dgm1YNDOWF1suzpdkFCElppTpY49Rhfms43xlMU6KGWKCxhoJfZ6tKaplse+4dHCJJ0/eYj30/KPX7lKLItaee8cP0NqLepszjW+pKVKNxliFjpJF2LVFEOKIKgVjvJBilGI7DhgKGIs2lilrlLVi28KgysjZdM4HLrU8e+Uqn3n3keCtklRlT2HAuhk5Bbp2Jk12iys477h/9C5xiqgiPnZjLFVLic7R0ycYU2lcQ0qRKUYwjlgydchULZ3zGk0uE5FKowrb9bmEh60RD7yWvMM0RZrGkpVh228kZOUdTjfinUuRlBUpBCkOUxCVo8ZM2T1qUp5o2k6wm2FkkzPOzahYYhx49+03cMA09Bhv2WzP0MZyMZ7hXEM/TVyuz5FVS04blPG4HKnVsLxYYpSVkLJWbC82aDMJJjEWjJHLJiVhV89cS8yJqneXXhiwGCnJUoZ1fyEFaqliTbPDvMLrp0u2pXK83qKKtODu7e9TV+c8d+s2Lz17wHd9w7M8WVaeUQse378LgHGOFCsHBzc4OX5ATKNgSb2jszAWzbSjW52frxmGDcpKw672lk9+9Bu5+9YbnK+e4L0jjZCiqNvaCIffGKHQeN+RS6KUiRS3hJw43L9MCFtSmDg6eUrjhZU8Tonrt16gmSKri8dkMmETcMYxTImsAq5rSFkCVM6oHarSYopjGrYoVUXBqZUp9hilGcYtA5qp2aNkhzNa+i4QNd4by/npEV7JuZvGQUJhXqGKw5pK0xk0iYwhZQlznW8GnG8otXB1sc84TfShZ9bu8eKt21y+NKMlc3o+8M7jE9kClgpKrEsYgEyMMsA4Lyq7qgW8QavKth+x1uIbQ5gmnJNLMKdCthXnZFuSIpIBsgbr1K7F0VJzRRnNC8/expiG9959i6QUJUHTesHVac1zly/z6sMJRSVPQiIyWoK1RlsKwnUvNTNk8XTrnV0yp4ipVWgwTUc765iWF5xdnIsaZwzb7YZ+2FBNw/7C8G9+8AP8T19+nT5mNinisIwpMm0Fa2eUYTG7xDZsiFU+r6ITqha8MoIG1AbfKK7vL/jUB57jV16/x+PTc4y1Yg2lQJ52vQJyv6iqMNYzb1s2Y0IhP8tGG4rXZCUIzSEkUY1ti+DSDTYUqhZLim2d2An7AaPExrlOK8wOk0l1lFTwnUephFWOadpQkDs11UwdEzqegxgggIpvF5Q4iJBhgZypBZzVdF4wtyEnWtuIWomiRMmrlJDxzhN2nR8fe/4jPD1/wNnZOZ23KNuK/cVAW+SurmZipuG7Pnyba4uOf/jKOzw6H1j1BbRBK82UEjjJ2HxNZFJaNvOZCgoUdbc90jtMcqTEjLUaVzLeLRjyQGsdH7/zQULOvPreXe7cvMXx2bHcXUa89LHI73lrDiTXRUAZR1GWppEQt4qKmvrdHeplAFey1dcVVNYE5AFe4kA2lRIqtRpsqSyM5tKNA863AzkiFjIt7eKrceJXXnuVW4dX+I5PfJzPvv46i72rnG9OGTcD2xIYJgnUqiKtwjGLgHS2PqdqoGq0tRzOF2xCoA89KRUJRVuP0YaZ26fqzLg5wTiHbz0xScapViHBFTIlKIqust1UGrTBW8MwSi5J6YL3ct4qbXZlmxOzdsGm36K1WIDzFHAYMpnjkyPJ6qCYzS7h2sqwOSIEEVe2/QaFhMynMlHtjoIzZFzTsB0G4pSlddl0lLyBIsCDtu1IY0TnKqWA04hvHeRd14iSzaC0ksvdLvZJ2ZSBnDOlas6HFVppCWLX/M87gv/LD/HOQK2FPowoI+vwWjOb9anwqKsoolpBzoFthfkumb13sM8Lz75AVpXZYoFVleOTY+49fEyKQVQgq/BNQ86Vo/UZzlncvEUV+PCHPsTdd99lrJGzzQXjVrjCN65d4xMfeZ4vnZ8TR8e0lVa1qitWOz767MvcO37MZjsRUyJXSXB/8KWXuHf/PuMwCsd5s6Ife3IOeKd4/vkX+OAHP4y1ite++jqP7j3m2z76Ddw/fsKtq4c8Wa948eWPsjfvuP/oPu++/iar7Za92YyXXnqZ/fkeq/4cpSpGt3TNgphG3n7nIZdmh2w2K5TWvPTSi3TdTA5JFHbWkWLkyfuP6eaOVDVHTx/xCz//02y3J6Qs65lUIjV79vc9MUUulmuca1FKMe5UqEoiAo+Wx+it+FRfeO452s2M49Mz5rOGcRwoWvCcwqtXhJjxzhLGNWNMPJiWtN2CF995QiUxxsQb799juT5nnbbcfPYW9955GwXYanDW8fKdD5Fr5uHTR6hSCBuDKgXXGKaYiaXSdh3DtOX5Fz7B0fF7bMcljInONcRaSUBMEa2l3AVEXTXWMJWAGTWLgwNsFA81RlOmTDdvmV05pL9YCmKmaL7z5et8/3d/nJ/8wl3eOt4yVAibLVMJaCecaKcr09TTdvvcuH4J7w0PH8Nesw9KEfJALGm3ys1o5SAplHdAxGlFKFGoCdWgUkXbiraGsgvvScPpRKcbabslo3EsurkQEjJSKOY9RkFKAXQBFDFOGKV2LHgJGlpTKVYCZiiFsw5bIaOodkHJG1Ie0dZy9dI1To5PwYIumXEaiHHEOLsrwzL4bNiEtYSxk6jmUwoYbZgrzZAijXNEIjUrbt95llThyaP3sUZx/cpNjs9PhUteM9VVakZqtLOGnDDtjBClsQ9tOZh3WDvn9u3nuHvvdd48PePeamDQhlgmDrtL5AQFw/uPjnju0h6Pjnsu+guWywGV5bKXIrCJ89MjYh6x3kE1WO+4/dzLPHz4jqz2FXg/Fy+inggp4sm8/cab8ntpF8SxFw+6VjTeENIESjNNEV0Vpmb2FjMullEoPbZB5ZGQh13ZXJLtom1p/ILVySlZBzmwlWbs16ALSskwmsZAKhlvG7ax8szNF3l08h4xB4oxtE7wgFRNGiNt10hGQweW2xPW23O8balG0ypFyhtRkDJUY8V6pgUJXIuj9S3WDWgc2mtyHMTv2nmu71/h+uE+r917SKqQjFS87y1mLLqGj7/4DN/ywRscH5/z5Tcf8HOvvcu9x6eQRe3KCPGjcw6rLefbFVopQgaTRPjRFHkgocXWZCzez5mGDVVlTJI8CVqjlah0t69eYg/HG6cnqMZC1Vyst+g6oIzFWoWuibHfYI2hTyNvPXlELhlhQSlhQltFkw0pwmx+iWk6RVdFDBllHJcOr5FLYBzXjKME22IVIgqmoJQj5Yz1lX5YoY0hm8j5kPkfX32dTRH7nTFmR9pIgl6sQs0Y+iXVGWoV1J4psoWbRmnZtNYSUubGpT2euTZn/NIGs0PmlVpQBiIFUqLxTjpQaiGlkbOLEedloNAV1pse083QyqJdYRoHWtexWFyihiXFGzajJqlIZywxV2KIOKVRpmCbjrmbsxk2qBopSQnfPkZmXSfeeMSiqJRB54QyimwdeRxpjCMrR8k9VRViTsySxzeazSBNm7Vqpq8pukahinC9YxIEatdYlPHsNzDGyMPTJ1xsl2ANndVU5RlDxLctcRjZpAFtYFSFv/PZt7ixN2M1RiYUSWlUKeRUUbXI36lUyUwgPv5xGtHaY6k451BGft4xjmLVMZILKhbGPFBr5PLiGi9cuURfFHcfP+Dp8RFTGKhKAQ6tCtevXuHsdEl1FYw0vBqTCHGkqBaUwagqPQGqgLLUkikqy+ehxIShEW4/uiWEgXnXEceEyZnvePmDfOjWHv/NT79CZsRYSynyOSoMyjqOz0+hwOHhAa5uuVATVlda4wlDZn8xo5TC6XbFfneJELaSITGJKWSqN1xsV6SisNYyxSihW6NpXUNRgc24FEJeHtBV8glWG3zbMExirS7ILGOVZ3ZlQdUtq5MjEQLUDhVZZPMTgRgFBLK8OENbg6oGZxTKVLr2Gmm8YJo2NK3fCTVHaFNIMTBf7LHwC6YwSqZOO3KZMFoTk6j4IWYqMLeSzdjf2+f0ZKBrDTFM1JxlE2MMm2GQJnZVKFoJ6alUvPdUndFFGna9ainjBMi5mKtCaYvRBXJCfCT/8n/++ZX4HLFaYPmgaIgYU6lVCj9iTqQqihxV03UNKga++QN3+E3f/Zv5bd//h3jw+KGsroyicQ2PHj/hj/+xP8b7778nCemYcVajAUph7CN37jzDX/xLf4n/6D/6vTx9+pBXL5aUUaN1IS+u8+u/7wf4ldf/KLmZ8dq9B5xeDPKFQDHbnzEfFkxjFcQhisXhPn/5v/o/86d/5M/wCz/388zaBbEkUhyZdw2/83d+L7/jP/gd3H/wAOsdd+48y0/+vZ/k//UTf4OUFbef+yD/xQ/8AS5WFwzjwJ07z3L/3n3+xH/yx3nmuef5L//0n6YoJSzyy5c5evyUVAKPHz/if/eDf5j7T4+pCoy1/IW/8Be4dfMG0yghOK0qMVd+5P/wp/mGj32C+WzGX/zzf5HT9SMOZ1fIZSmNqbuShxQDwxChKkoJfOTFD/Ld3/Ob+W9//K+yGgfx1aN58dmPcnL+mP/0P//P+MwvfYYf/bEfow8bUfyqZVQBHcG1Dc9euck4blgWaSg12XF2cs4vfPbnGIcX0c7x3v2HXKzO+fALL/Ef/8B/zO/+vt9NGEfYUSb6fmBKE5vNBeTMdrNCNVK+YI3lYDEXX6mFJ0/eFURdEnym8gZbCiSo1qKNo2s9pQRijBgq3klBzXazZW4tgUzOgrmr04bTBxfkUjDaYLRiGAPLPvDOyYr1dkOqlpDEKmNbg7Oe/ZlwytdDz1e++hVKleKWedOhraLfrEFZVDVYbQgpStlDsDi/RzMXlvvpxSnDGDHGYBHFSRe9C9eJ/94uWsq2J6B2xIEGqzNxd8FUJZ5pdCWVhNWGthFFg6KZ7V9mHDYS4iqFUgraOlAQi8E1HSWMpCAXQsoDJycjwjMX9r9WirZtJKhbFVEnZk3HajjbkQ3EQ6itbIaGnGH3s1uOa2zruTi/AF3IVXHQHHKxPqdm0NoJWjNXqIWDwwOWm54yDVArly/f5OTkPlRYTxvU1LN5bymhbu3pSySnQGMPKGGklog1sNls+PKb7/N4teXeo1O2MdDuX2HsV1htqaojxixcaJQ4D3Pl+OkxORaU9oTU44qjqIyqEpAuOXPzRss7954wxCB5FgNeKUKQEi1ttDDqS2LKljIEWtcQiyKWhE0Zi0dVTdbp63YMpyJDmlBJUXKlKgluU+XMbMwMrUAZ4bPHMnHWX+CtZ3Gwz2azlFpzqpRKKcM4BKpSWF0Yy0TKhUXjKQqGGHZbnIYaE0NI+J0VBTTJKkIZ2ZsvuHXpBe4/uUfXNpxdnFP6LXlP04dIKYnNdkM1juVqBK25HgLb7YDWipev7ZNWl3j36ZLHR+fCpKZK3kBZFEoCi1VB0WidqTmz2OuoqbAdyw5s0HLt2h2eHj1g1nWkLA8m6QSRroBcIttpzbe/8CKP1xec9xlFogwTPYFAxQT5fKxt2ZtfZZwuyHWEWjGN3FEpJvGg58psfoXLV6/w+MERuRiyAVsj3kOOllAKptGokBjHkTQNKJVBCwZxux2wWh5fFgExbKZIzBWrxNEcG8/MKKyHVR+FXhMLMQtgwDhPShPjJNkGbTXWWeIYeP3BklfvnTIMmbbt0ClSct2BbCJaFcYwydCzU7wxkLPGdw2xn7C+5fmbtzAoHp+dYFQFY1j1K+KwwbcdpQSc9Sxcw6ACU62SG0lZfPyuY992tIuOe/ffwHhNaxrCJPkc33rClOnaPUIyMuAmeaAUKjorCmZH0KrEVEk5oLSlJulwafYatDWstlu0aTG1xR4IWnBYb7Fk/F5Hfzbw5OIxusKiaxliYtuf0nUt1iimGogp43VLzrAeR9a9zC03btygdSMXqwumFFDVoClYbcmhMN9fQC6E3camKi28/507XWtDLQWlhVymjCVHaVrf9AOvvfeI9RgpKRKoTDliG4e2rdyB2wBWM8Wej738bbz37iush4ypAlDINVJ0pTEGa5xgV9tGsI9WABiLWcPQiyPANTNsidiiKMaSFbz1eOD++TnbmNAKnFGEWii6kjOYKncWduK3f8fHSHbkr//jVxm1ZRwSuhRW2zWqaTHGcbB/wMnZiKbizJxmphjGnpwz824uynKSO8I3u+KwMoo1yFtK1FAlU9P4BbpG0mRoXINzjnW/JEwbdC9C2Dj1WKd3ZCX5XTWIzTSXUexOzu7UbS2dGcbiSsK7jpKlfT6OI4aenDTdvBX7dt1gndhuY4w0nUVXx6WDQzbbLVMI2OKYciaEQJiegMpMKcpZHSd0rQSlafyMiILYo01EJ2T+1ZJp0Lt5xDoJate6s3pqEVdrLjuU6+57+69qiFfaghU+JwXGMLG/uIw1lWFY0TQNeQyUWKEGgkrszxa8dOMW3/zRDzFslvzv/+gf49V793Bdx4dfepkf+qN/hN/ze34Xf/rP/BmMESTeOI0o79FVPH7CBHX4tuPK9RukzcSopYb97ttv8Vf+3J/h+7/lJX72ZMO7TxyNa2jmc8bthi+//jpTksFRWUvYDuRcaXyDNgaswWnDEAY0iqtXr/O93/d9/PAP/0l+6bO/hCmK7/z2b+PP/vk/zz/5qX/K+ydf4bf+9n+Hf/RP/jF/6S/8ZVCZq1ev86M/9mP8O//eb+ev/JW/wr/72387MSZ+w7/+G/nhP/nH+V2/6/dgwppP3rjEtF7RtuIh1FS8t/zoj/44n//85zh6+oi+Hwk5M42BL3/uNVyrd0EvyzBtsO0Mj6KGDVfmh2ziBqszQSkOD67y0ksf5D/8bb+NT//dv8vbR08oqWAQxFhJgda1QsJREgyyTYOtljYkJiX2ombhmdAssiPWzEBiSCPnZ6d86IVv590nJzx++Ij3Hzzm6rWrzLqOpnUMQcIdThtWwzFEsLpivCMloQ9Y06CqYqFknZXGnmgCs4Wnql0Svko7XqxAKpQcCFpWdm3XQMnMZzM+/OIdvvLV9xlrlKBIFi+h9ZY6RJyRQalS+ZX3Tnj4977I24+PSKWATsxnHl01fbXcutLyvd/9cf76p19nOw3ELF+sZj4jmolhu5EilFogaWkXNEpQq0ZU8qIcfRF/amMbjPPoFMlVKsnTJL931sA09nht5WWuCkPqpQyGSi2RxreCdfTdjmec0U5h25Y4JVKJxDJhjQx/pVZSSnRtS9cd8vLL38Srr/wsaA+7YyLnjMq7luJS6Lp9oQ/UiAGmSVajKSUaL+vNmtgdokmK3FLiZHnBrJtDMWzHDd54WusYxwG8Yn//JjGuOd+coo2hxkh/cUZJlaIjYy9saquVMM2tYYgjMSe86oilcv2ZG2yOTmibPS7WD2msJWnQVrMMA+nBY8YpMzOaG1du8ygObLZLQoh0rqFtOzZDj3OKfgzEcr4LimfhButBHr4x7opILG+++xi0WACqFltLnCLWChKTLIQMY/2uMTFyuHeJMSbO+yVVaQq79ucgfPBaEttxQBkpI2uNIwRpN9bKsjdbcPPwOg+OHtB1Hd3igO1qyfnqBGcrZVW+HrKezRasN0uUk1K7kqEGUC4AmWzAa8+mv0DrXXOkm6Gc5WJ5jlMdoQRKSNJkerahhocUZei6Bfp8BY3m6XLNyXqL0pWooTGSadhsIu8cPWE5jtx/cEzXQh/gYlXo2jnDuv86qUalLAqVcmL1o4rPO0W2/YDOlRLLDiEXeXLyBFUrFMXly7c5vjgWEpfpmM9mnK3PeXq05W9ffJWqRKn2BppuTr8ZaIx8HiFXZu2c568/z/tHkVgVxklDcSkiAJRiKCUxjWuOH20EttC1lOUaSuF8s8JVwzgVtAWnGqoJOOv4Nbf3ebDccn8z4HB0jSVNA6lU4tcLtMTz3bQzbI78+pefY9E5furte4RU2eQRqyyEXhRzY3YWA0WOUTIi2pDTKOqgQtB5qhDjJNYiq8WGZjU0CpKUrTUzUWVLCfhG6t+nKXG+OiFE2Q6EXirnS1aM44DXFl0yZ5uViHDWgBLqzcVqidFrGj9jPZzvSD+evXnH85cOuHu84fh8jTGV9XAm/RZW08w6XPRMYeTKrY/TzA7pz77CavWUpKGzDWMUUMMwZb7nhTucl8TPLtdcuXTAanVCXEasW5ByRmvDcr0lpiq4Qe2FZ64dzmdKSKzSmpwKxlsab8hFU7wW0p3SzJoF0xhobEMMmbmfkfNEzIGqNOMY0VlJDk4XaV4vYGJF7YRFazqmMhGngNHyu41rWE4D/dF7xOwwOoAGaxQlDOQonvQpJsFb+4ZXX/kMUFHO0DnLGCchHcXEvNnHti2n4xFaC41pHEca1zDlkSgRIcZx3AFVPYdXrrI+P+Xtpw8oqhJqpOoq4lat2GxpbJXenG6Ocpr3n57xxuNTNn3BKCtbXVXlsTtu0bph3W9onWc9rVARlLK4Kgr8EHps477+GJPG9hkJQTTu7R2Qzy9IJZFjS597Wg+oTEg9ynTMGs+WQoxbYbEbITYpjTxeFOzt7xE3PS4rsjHyOCxVomY45u0VLvmOs2HN7RvP8/joHirL1jGTyasNSlt6XQTg4UScyn1Fq0QcJ6o1GGe45A9ofMuDk6dyT9ZEqBZbE9pW6lSJceTS1X36XNhOG7yzJF3QVTIzuIQxmhjzbi7QUBTWNOztH7Dpz6VkEEMdx18VxuS/0BBfi6idRRdylRVv2ywoQBxllWytkwIMrRn7gX/8pbc4+MAr/M5P/VriUKjVkGPgyePHvPbVV7l69SpOG/6TP/nD/J2/83f4/Be+gFXwAz/4g3z+s5/j4f37OOf4vu/9Pn7NN38jpsL/42/+Df7W3/zvuXX1ef7d7/te+td/kU996ONc/pbfQK6a7/j2b2e13fBn/9x/yec+82WiDigtoQkl6SFqzVQqq3GDVeJLOthf0DSOaixGd6S45bNf/Ar/9f/lrzGOI0prbt64wU//zKfRVqEwPHj0iD//5/6cePlKYbvdUIoEHCqFpBUX65FX8hleWcI4Emui8w3kymYYePW1N6hh2vkOhb38G/+Nf51uMecn/vrf4Ad+8Ad5+Ph9ftO/+Vv42//Pv81nPvcZ/tAf/AFefvllKoW/9RP/A5/97Bf43b/vd3Plxg2+/w//Ef7kn/rP2UZZO96794YoVyVijZKSjlIgK5y1WKf41m/9Zv43v+/3c+3qdc7PT/jxH/8xvvjLX+TG/gE3nr3BD/zAD/LS83f48HbFo9OJd9+5D3XXHpoMVy5d4ff/gd/H+++8z0/8xE+grebgYI/b1y9zsVpzvt4wjhGK4mR7jvaetmkoRjPzc0pUO1xeyzj2lJJRu2Y1XSM1S1FNLokcM1967R2mEEk1YXdrw3bW8OydZ3jj7Xdl6C6VkgsXfaCeD4w5y1rdKf7tb32Ro4vCq/fPUNrxt37+TVZpoPOeW9c+wIOn7zPFYcfbl6p6pTKKurO0VAqOUhJxHKnBoQ3iqesstU70WUItZSoy1BsprXApQ+uwcSKWQhkVz976BnzTcffur1ASuybaKmxdEmEyzDpPtYaaMqbId8wYRSkKb6WTYOgvePPNXySG3WVdJLioqxJlrJqv/zvC14JnSkvbntI41xFzT6Mtzu+CkqEys44xVmqFzTDhGmj8Atc09GFNKRMqKpbxITEGrLIcLA4Z+g3DFEArSlVY5xj7FbpreP76DXJOvP3oESVGJj0waxpOn9wjx0A/rHjh+RuoChejYxzXbDanJBNRrmUqieOjt0QlQTHrGlCaYRT0KTVLw64p1CThSO8t3lqsnbEeVmg0Zof8UlnWt0pZYkjgpUzGoIiUXbBQbFAlFzb9lhQDNUm7biyZkgacNRjlSCmCVRjlhJtuAaPxVJwxGG3YhIkxJw7ne3zrt30Xn/7pn0S7QkUTUyTmQIiROhS8bXBOE+ouKJgSphga60U9IuF8JxuDHBlSRRXBLGokVFWyrKqpiimP1Fp5+uBMvi8JrNHkojA7jGuYxh0+pTCFLauzNceLBcpAwRJ6aeEsaSKT0doypARNQ05iP2qtlQC+ygxTwmmLtl7QkqVy6cpllqdP2E4r4nkmhJ7WKK5fvsmVq9dZvf45UgXdOBbdgnS+RlXJw7TNnH7YSJFYVWz6Mx6fv0MsEzFmbl65wXq6YDyd0H5Ga1uGaSkB21nHNI3MGsPB5Ts8PntAf7FFawmGhilLoBVIOXHn8BIHh9d59NqbaK3AzjBTkLBhKFy5vMfJao0qSDNrNnzuwRHXDjr2u4bltmJMRmnIyaHYXf65cueZmzw5OsZ4RSkwhYyxGrXbMOqqsc7RNHtMZaTpNMN6i84GZxypZGpU7M8O6acTctXkWliuR7w/pJ9OxbKlNVmDbexuq5SktVMprHYUpSgpUEpF2UrJke2wFLuSFr558I5vfuYZ9puOnx8GQiqMIdN2LU3ruXPtNkbDe08f4JordN0h3/ChD/P2A82b9x/RV8QPbKDYyuNtz6WDBc9cvsLJeoW1FqcV635LrklY3VHhrccag1GGbq8jJ8M0DqAUVChVYVJm0kKyqUlyRsVpLt+8QaiR9fIMVCbWiVgiTdtSQ6Kkims6KgVd5eceq5yJsUpRVdUD1lUW7YIhFKZUUOOAN4ZiJLcVd03Tyiic6TCuIcSepmnF0htGlLUYO0OhUOxQq3k3mCpHUS21KKYo5J7OCyigFg0UQWM2c1KUrbBWCmU8U+6pObPXzUhFkZWh5J7WSGeCUhajLf2o+IdfeI8hjNha2Vt0nA1SVOdbR98LXnK1WmJtRWNlXjCaqgylTGg0DZ6BUbIDKhGmrYSKW8/VxYLV6RlkQ+cV6xgZqhCTcixs8xrrPKUKZrikHYddyQYmV0Wtmm2/5FtevM56aHjj8RI/mxOHimsspV8xxBMeTyLebfs11jqxuFWFMZXUj7imJcUIO5TrrPGMcdpZqsCbllAKo4oMG8ngGGdI0aBioBqwKGzrqCMs10uqgq7xkt3AA5Gm6+inNWMtKG3RVlOnhNKG6zdu8uwzt/nC5z5LTYqkMr86Ovy/iJ0mTDTWkY3FUKi7Aof5/DI1BiYbCVHCU13bgtGolLkYJ+49PWMqhbHT3LxxjZICzz5/h2/6pm/ix370x4mp8MlPfiM//7M/i1OKkgof/tCHefTgAe+++zYH+wsO9jw//EM/xPMvvMif/E//BG+99iZVVZ7/6Cf5P/13f5Nv/rbb/Pu/63/Nn/2zf44f/qE/yu/9/v8tf+D3/wH+wBf+IM5bpkkq6WspVCpZZVIpdE5oLs8/9zLHx2fcvfs2/8c/8yP8zE9/ms9/4YuklWYKh3ziU7+Je+//VT79U5/mD/3gH+I7v+PX8Yu/+At84Ytf4HOf/SyplB3/Fbw3KF0h70KE3YIPftP/gg/057z79pd5urwg6UIBvvVbvpkSo6yPKBwdHfPFz32WD778PO1sDirxyW/8OL/1e34LP/bX/hqf/cxn+T3f+7vRpvJDf/SHeOHFD/BDf+QP85VXvsI/+If/mGefeZbP/dwXSdNARdRLUyq1anFgKalAt96TY2SIhRs3r/On/rM/xf/w3/9tXv3Ke3zoIy/xp/7Uf8H3/97vJ46BH/mRH+GnPv2z/KW//H/lhefv8Ad/8Af56utvCEqyZOZdy5/4Ez9MjJn/6u//ZSqZw9mc3/Cdn+Tf/g3fwT/55S/y9/+nX6GaEe0qsUAaB/bnHVPVzNoZy9WGXCLTuKtsVkJmKVGILBiHREQMiUxMIzkKJalWSzfvCHHkrXffIZWIUlLSkIS+zvLiFNe0TDrRaMOL1y/z+OgJn3r5ZV5++Tl+/pc/y8nJE3KE98s95rOOeL4Rv6czGNkMYmwjB4IqWC0ceqsMU6nMjNqxayN77R6H7T7rsME6R0xyYdrOcePSHo/OV7ROMYZIaz2XDg6+7gMtSsnga6XWXCtLnCqlKlIJmJKoOypALbtQTZZNRghB/OFEVAVjJcgXQgSl0SpTcyWmHtH/KtZbYj8wxklUGauIZaIUy/6lK4z2nDoWFu0MdGQcR0rRFC//b15NAiAW8zrGKiyVMPV0s4ZqJlJQONUJ890Ycig8Pb3gcLFA5YrRUsZWYmCs8shQFPb25jx7/TI/+0uvUglYXVDOMoxb5rNLrIYNBmm39Mpga2EqUZr1FELQStKXgHN07RztGsapEELFWOESayopTChksPBOC34yVzrnqLEyaz1RJVKWx+UmTPKoVDLckyPKGVKBtlvw0gsf573332aazlBKkTS4xvDBS/u8ePsa/+S1ezzdHKOA45MjfurT/4BxCnRKKuyr1UIk0oIsjDmhi5Mgc61Y28mZViuVsPv5KpyyGL3b7KAotQof2zWkNNAYQzGV8+2WximUl6Fe4YnDhDZFCp4KVKUIIVBVwbaePiTsMOG7OeerU8IouFxvpVGxVqjK4mhpGsUU1hzuzRhLZXkx4q30JFAVISasa1lfnJFTIpUKcaKkRDXw9PQRTy+O2FvMZGgfNuhO431LzYXNsIZdwyiAVdAuGqaYUAlqhPtPH4PasV9UYTuu8K2l5MxquyaXKg/ptBVblHGorz17TCWT0CjGOPFP7z7m2vVnuLK4xtn2jNWwZNF2qJx59tKC525e4ufWS5TW9NMgzOh2xltHR8QE0zTiXEPjPLPWM4QtFY33Hdv1Rh5LCcIUMTsMnnEOU4VWNqYNY+wJacIljdcKr2dcuXqHpyfvEOrAth9ojGJKAd84QhgIaIqVIO2QglB/tBJPuoWUK057MhFSwbkZIfboWnY0uSo2WgVaFZbbDf/3z7xB61qKglkjxJScMnt6zvd846eYpoGT0zNOH/4zLvyC6eZ1Ts5X3Lh8jYvNiqIStnhCDLw9QF1fEEMmhoL2VWaLbkaIA7GKihrSwMu3P8Tct7zx6D1C6IX4Y2UgatpWENVVSCLGa5TKNNby6iufYzP2glbFkqoozyFJA2jK0hvjnEEjFsu+79HOY0Kg6RwlZ8DzXb/2O2k7w0/+1D9jmiJdu2C1WVOKYB5LrQIsqIJvlQd9xhZQXSfFX2WUx1+W4Gu3v0fsR7Zxg04J7yTDoZRFY3Gtpd+uyWlEF802r1Ba8hfrR2v2ugVeWbQpfPzOs3z5wWOSKlQSQSvylDG2sNCK2CdSkgB01HDWr6kYnrn2Ii/ffpFfeePzbIZjijGCOE4F1TTcvPVhjo/foVTHtavPMKzOxV5DhbC7D0tmM2TevvdIyga9ZdmvKBhKke146zuxA6dCzSIa6KyZNV4AETtbnrVgledjz9zkbLXlvdOJcYi0di55BdZCsbKelCIhnlO1xs5nXPXXeHryrhB7YkApjdKGme+oStFYhbEd47hmvVkKzGASe5LKkVQC/2/e/jNq1zRNy8OOOz3hDV/asXbt2lXdVV3VmZ7MkGYYwggkYCSLYLyQFwaNmIhkC7NYtkwaxrJsbKIECJBGIpghSjAaYGa6p6cndXWu7spx185ffOMT7ugf19tt/8K9Fiz2v67V1b2/8D7PfV/XeR5H2lFt9poJm64naijGAQZl2PU8AvP9Q4Zuy5AC2tbEUUrxuqlxaCbThmF7xsP7A1l7Ki1VV3nb/Ov/+boP8W0lqCnIuErWhSknTk9fZ2Jm1NWEMfQ4Y+m2PdPJhIhY1XLxXL92lf/nn/2zpF2Q7OjwiNPTEz79/PPCp1UaozVt3RCLlixkSWAUq+WKP//n/zKPHjyirDpee+Elft13/Co+8cmfJ0bNl2/f58aza7784ov8vb/349Sm8LM//VN87/d9P42zEkfQUEgiGygGnTSNNWgtcp53b7+L0pof+IEf4rt+w3fy7b/q1/Cf/Md/kGtXr/LorPA3/8bfJafEX/nrf4UvvPQi3/mrfg3f8z3fw/f/4A/w8P5DfuRHfoTnP/tpUW+HQklWJqUlk6OndoYPPLHHNzaX+eSbmodDBKX40Aee42BvRspQiuLll1/h+V/8DIrdug5ZHf7MJ/8Ff/dv/5g89FvHk08+wxM3bvDFL36OP/SDP0C3GbhY9mz7jl/83C/QTKd860d/FVpBt+l4/nPPU0rGYLDaCqtcFUrJfMd3fCf9pudTn/wZFqst79z9Cr/pu38t3/arv43lxQW5FP7bv/ZXianwxhsv8t2/9bv5jl//HXzxSy8wnc/4E3/yjzOfz/mBH/hhttstl69eJXcDddtw7dplrl2/zHRSs9wsMVoRS6JurEx/tebBo2MowoAH4ZfbukbXIrsw1kgjPxYgkpNMVHOIWGukeBqCrMZKAgVGK4qRxnjMUGISRKSD7Vj4S//k81TO8B3f/hTf+rFnWSwWvH18n9VyIIwrtmmkFEVWCqJM28Yi+dxSBEOYi5RhrHHEkgkIJs2ReO7Gdapqyie//EVMXeOalrHfgq7Z+ohyis5HsYHGkRdf+QURuGiFzgXbtuSyy3cbTTW1bIctxsp0nWBIFmrnhM+tRHNeVY6qMVxc7KRZOZNVQ1u3pLClrSqm00M22w2hrITGlHZm3AKuUhzM5qy2A93G02/XjEG4x94PZJUYU6atphTfs4kebR0p9ChbY4yhbiv6biD0IzEHxmh2EqggGE8LKkbOu3NONufYXESIph2PP/EU94+PGUaxcn7l1bd5684j1mFDGCKTytGPHms01tX4fktglI1S7cjRY9HycytIhKiImwJr6Lot88Mjrj92jdvvfG6XnzdgHNQFlTPTWUM3rKhVw2jUroTs6YaeytWkKHGZqq4YRylyNq0lDBCC4MXCkOiHQUyDpiEGTxgCaMtbacW7i4Gh62lqQ6lqQoz4boW2FcEnGYJoJeKeYZC1dAI/BFk3lwKxkEuRz03ZXci0wxhL1oUwBnzssNbJ1DsGUhoZgsMViy4BraZMZwdsL07wpaNp3a5gDal4XKVI0eKMHPRRmvUw0ChNTuw2ewqf5HlidCHlxHa7YjKZUQw8fesxzrdb1qutRNyyIuZCzAmdRbpSFKDMbotbEXf0H50Dq1B47OpVclEs1iv2Dy7TdyND6NFKfnRhCFKuxLLeLLBagTaolGQ7bDN7ezcYxw39eI41iq7zwgcfo+BsrZOekDMcHO6xXvcymMkS6bgYtqzuv8m0bnBak3zkyZvX0BEuwoq3Ts6YNS3D4JlpR9GW1jq8B1fVxBDRJZKiQVdG4gMFjLb0IWNcQ0qdxNu1pWSxPlZVQ0UStrWPWAoUTc6KoCLny0dy2Qoi1YtBSroF8LtCdAFyLBJj03aH9MvUrkLrBCFRaYPXkXEcaOqGcRQPRdGFgiHFKP87QBdgM3ZcvXSFw/09urffFKJQ7ni4WnHv7BHnmzW1U1y/cZPf/u9/Hz/5z/46y+MHNE3G1uC3PWHoOD4+xnxV1qc0fisRllyinDv6tWAKq5rX798TmlkOaAVWy0YrqkTKhul8j+3qDLeTfeWMmH9jELxl1tSV3sUyxF6eCyhdUIwYXWHthOh72VwScbUhBslTWxt44fXX0QR8DJI4GEaUhkprsAplNCopMXbqQs6jbPS0plaaoLL87JJifzbHj5Fxu8UPPVgLBKzJlCTdAo0M40LKkB3aGYzVBO+JCfSOUa7J+JJ54fZbFO3Ya6acDRvJrRsjWxUvm8WoQJkWpzI+9FAyp+tHVGdWomHKyedHZbIS0dH9e6/Q1DVaVTT1lNAkynZBpQpjyCQMla2kmxXFt1FyohhHpTRai6iv7AzRRSUc8jUqJxepup0yDB11XdNMKmxU/PjzL0JObPuAj5FcRSocZEFa+7Ij7qFRITJ0a843UFKiJ6CrikpV5BwpShCspcg7yGkLNeScGZNnLDK4qHXF9YMDtt2ay9M5MRUG73FapFKKQlO34t9Yn4mDbrfNUtZSaSAGcpTITpeiDE6TbB7qxtJLsvXf3iHex5Ha1fjkRQ2fRgYfqCtLsAbNDiNWHJVt8Gl3CMeQsNy9d4/f9x/9fjbdEp0S73nmffzFP/8X+a2/9d/hx//u38FqkQ6NYUQrJ019Y7EYttstF+dnzA6P8CQenDxk/+hQPjiVYz6ZE1JhsbigANvBs9pspZxXIJWMSprazJg2LUpHNLJaHIM0jlOOXDo4YtpO+PG/9+P803/6T3HG8uFv+hj/jz/zf+PwoCMbuPH4dT71Mx/nc7/4KUJIXL1xkz/6R/8IP/yf/iD/8fd+GR9GtJaCEkVesqPf8vO/9BPc26u50lRsYhKKCZr/4X/47/mH//Afy9TLaFKIWCue2ieuXeY9jz+O1Y6XXnsLkOnyf/c3/1v++H/+n/Ff/ek/wSppPvtLP8///c/9eR4+eJOcAufLY5659TR/+Id/CGsMb775Jl968csiWsiJ6D1JQa00JWWuXbvCZrPmve95iq+88gbbfsvFcsF0NqNtKx48fMh6K5nDQuTs9Jj5fE7OmWeefi/r1YqrV69x/fpVzlY143ogE/nFL77E6dmStx+esRw7jNakGHj6iWt0IXH8aIGuoK41fhAOvCpQtOAkjbIczPbZjh0xidac1KBTRidF7SpKCcQwgN4RfmyFQuHqipACpkBRheIczjoOLl1hcXpKKhlfFA8XKx6dDyTdoKmxxu9kKOIJEMOt6MyVrXZsd9noGI0ceBQ4NDllYgpgLF94+w4+70g8SaJWRhli39NpjTUVzbSFlOjGgZIz01lL12emxhLI7E2mPDxdUpKh1CL5UEVTVZpIZkyZvhvIqmAwFF146j23mNcNn1m8hKbQtDPGmJjPpiyXPZ331E0hYshK7/wCcsmxSuED5NJQYieiMafRyUDJuyJTYuKmZJ/kP+uINRNsO2EcRrKCW+95hrdff4u+X5Ii7O89zjAsiX4thb4kXHDvI87WXLtxk74fcSrzoVvXeXh6n5ASE1vTjT1dJ4c1pXe0Cx/RdUu/XpCRrU3OBe8jdWXJOJQK+E5QjknLizANcvjuVyeMw7mUHk3Cxw0qaj769EeotOOtO28ysXPaScP9xbnQSGxNyVk4+MYSYyDlRGXlwBtGRdrFoFIOJD3wzp1XSWTapqZ2Lb7vKUS2Qb4HzlYk7wk5UtctqQQshaBg2s4Zu57FcomzjVCaVCZTaGtH3w8YI4gyrQUBqEqRv9cOaXvl6Ijj0xOKUgTl0SimbSvugFygKGxJ1DGyKtDoGmPFXBjDgNaKGBRkCDmJTj56CortZkntGnrfY0yFsY6CTNGMUhQNmcLoC59+4RX2Dg4otpCSkliTsVhjyMXgdI3PXiyKRuHchJxG6Q/EiLKW7XpLjIYQA2cXj8QVYeSikstX9zaKwE65ssupN1UjB1mjWS3uSA9EAcWxP7/EMCx3Uqdqd2CRgcDF+YoYA82kIUWRWcWYyCmyUVJINshFRhuN5ZD5VNNt3mF/0vDc/j57TeKX7p6yP5/Th37XhWhEfhcDT9x6ljiMnDy6J16Ir34O0aToqYyj0lJ4Pti7wrsP36GqNTkYYsw415B0potLalVTmUrIT0phteGZJ5/g/vEZF2enuLahblpilEHbkBNKaYbe7w6gNR955ht5+9GbnKxOxUppjQwyikiUKgw+JVJCbNbGsVytWK0WYAoHszldLPyDT/4c6IBxDb0fufvwNj/9L/4R56cPWCweUaEZxsJ23GKdpiRAN+LO0AWlxQVw5eiAy4eXeeGNVyjGEORagjWKWDI+ZHKRn6XJCqUjY/AUClgtW0ulSTkSU6LRjoySbYTSsoFzyPM1ZUFPDp7sCskUTFvvCvKJq5f3OD5Z4Ieei5NTUhhkGFE03geyToSdCMhhmLcHNNUUnwPj0FFXhUppxnEUEk9W+CFw5pdMmwnRB1IxVGTGkFE05OBRVuzQcT1gjEIjzp3rjz/JxeKMMXhizHjtMMahvIgBXa0JCXSppUypJMYVQ2JE3mlaSwnZVEIzWmwXbMYNecwcXboupB4VWI8CwYjWs94MlJJYbc4wyglaXBsyQhvyUsBCkfEpUihUtqaQSUniej5FkRbGkdY2aKPZ9h2Tdsqlyze4fed1Wmtp3BSfN1wsO1RJ5J0roajCer2hcbJ10crSKMnLR5VRYyaYLbpyuFJwu35SW02JNuI0mBRlA4fCVTXB9xBkI6yNI4SRR2fH7E9aDudTTtcXYA29yGToOk9MUkROKmJ1RdEGVSK+eFI0kERKtx08k3bCdtuTs0AruhAo+d9EmEZS2F/Xn5xlVVIQ+VHKAeMs2lr64YJttwQlDG2sQtVFWMBNg3GGlAPnizM2XaKPijffeocXX3mR61euSpmiFJpmhnaWZtpw9eo1eRkZw3Q65ehwn/PjRzxab7j2+GOsLrYopRlj4OxigbW1YH8ohJhQ1uwywxUpKK5cvoVpJ3R+pGS5t66HTnijOVNpw2/6jb+RP/1n/jSVk6jJ6Ec+/+nP8pWvfIXD/UMeu3aNv/ZX/hof+uAHCCkzxIF33n6dT3z8pzk62qduHEYpKueYVg0gVJyQLeth5JXFgnc3He+7dsBeNaUyhqIMWjmcm9BaS1s5yY2VzL1Hx5wuTyk54bTwW63RPPPcB/gbf+Wv873/2/8d/8X/5b/gY7/yW/iuX/9dxJRJGqracf/2G/ye3/O/5j/4nb+LP/JH/+jXqB0xy/R60jTYymHbitOTU/aPDvn8C69w5+59lqslV69d5c7de9y7/4iDw0OMdTircFXDzZs3effd2xRVeO3V1/jhH/pBPvu5z/BDP/j9dMsFq/WSfht48KDnX37qBV5/4y5D7+XgYDQnywWb7cCYM2M3ULJMQ+dVxWP7ExqN2GpCou82kn0PgRQ800byaqkEKlejrMEaKyv92uBq4cSnAoUs26Ms07RQMjcvf5BZfUCm0A1b3rp9m1/8wivceXBBiXIIN7usnghqRDWtlJX8c/ZUrePqYzeo3ISiLc5arh9c4WDvEGcsKEVMiXEIu4xxwseAtYa2dmRkOxNipKomzJopOXvWizNyiKzGkX7oOTk5Q1tFVcmWSnjhiWHMWDehqiuKUZASWpR43Lt/watv3qFQyEWz7XvAk/2anDIlFZbdksHL9MVYjc6JunIUozBFE7xgR5WyzKZzLh8ckbUhKDHShjISSpANR5ZoVhZAOE095eLsXDjbSkrwq4u7DP0FJUpPobIVxlgqVVHZmkm9J66C7Hn3zgM56BuIWvKG1ljJGGpLKFEwejmKiZJCTlo2eQXGoTCmzGRygLEO2xzQ1FcoX82+F0hpS/Ab4dfkRAkJaxpcPWO/nbH1PTevXuXXfdO3ctA2WFczne5RVRaCx6Bke5gKQ4iEFEh+xBgtfgItXOmUAqTIMHaiuTcihytoVNHsz+cUlFibg0h3SlbcvHSdW48/LVQc11C5lko7lCrMZzP5nuuaFBMaK3ESJWZctytHoxSbzZqSC9lHTBR7comRHCPWaPk9p2E9DKSiiFmxHQqeLBvKXLBKiQjJyIE1J7DKUmlNDiNVVWGM0IBSFrtmMz2gMq3EG5xhjJlt7zFFywUuBrQtZJPJqafrlyglrHGUot+uGAah4Bil0Nqy6HuKzqSs8IOXzkIuODcjJdmuUrJMP5UF47D1hBClM0M2KBKqyIG8rWa4kjGlUBQSozCGSdsybSbUtqZu6l3ECwgic0EZatswdBsmk4p37t3hy2+/zsnJXU4uzlh4z8YHDg8avuuZqzx+OCONI34Uc/Cta9e4dLiHLomLk1MWixVQqIzGaU1TVaCUFEwrx/VLhzz12A3Ww1Y2dUWM1pUTv4Y1FUZZtmMvAzBtSIgN9+GDE8ZBUIMlyNdRsqMbA5PZFYnhFY3SFa5umc8uYYpBF+lA1E6AA7oyOGeJyOXSaSOxOSJKwdZ35Kyp3RSrLdW0Bu1w2tFYQ9gsuPvWF1gsjokFVmEgKnZ2To2bOiiBTMSPfrd9rXm0XvHFN94gKBmIqSLEqZwtl46OmMxbipF/FlJE6UjXXQCZGDN1PWPwQgzK2uKLwU4mGKsouZBCJPm8Q0Er6mqPo8NbPHH1OmaXn45jYBwiy9MlIRVMVaO04crRZZ68fhOTIOuEUYWmcTKoCoorV2/x2NERc6ukg+Qqrh0cCrVMOzGlK0kBDGEQ94zJcrFGEeMg1rYiZmSNResK07ToquL04lwQqDGgCYRxI+K6It2fzXbD0G2o6kzlKoEbhCTb2rrG2anEddCUVHZ9R3F6WOcoJXHl8iX+ve/+3Tx2+QZWJSZtS1MbbCOeHJKn0oVCwCm7K9TDpG0oSr4+lAwXtNTKcZVcJkE2E7lkrGsxxhFS4P6Dt7DGcuuJx4m5ZzOMmOKkU+Yc1klKQ1tEuues0KbcHK0tWsllphR5LseiUVjG0dOnDdtuwxill5htZvCRMA4itkPjrJD+MrLhXAwDL9y9w2aQf2YR4INSmug9ffQU5ByqkSEXSWIySmuccRATpmimlYiwYiq0bYtS/5bjNB/7yDfx2ptvUPyAU5pCYt5MqWvDevSEMJCilodzSYReDgip2xKDCGN0SthUk0pi3S1YLRZM53M2/ci9h3f5ru/6Tt58822+5Vu/hVu3bqFVoWkM870Z3/v9f4gf++//Nh/80HO89+ln+Zt/4+9KESdHUio0ruLGlSd5/NLjvPvgNkakxfKLbzzH5/ep25qJadHa8K3f9is5ODwEpairmvsP7vL5L3yWP/SH/hN+6A//p/zkT/4kqsBHPvJhPvKRj/L3/9E/4fad27z16lt8/w/9IH/5L//XLBcLnrj5OL/zf/U7ef6XPsvYD2gl2uvtuMYaKY6SAldmDV2M3D3fErxBtQcUI4fqylVkZXdElZHtKOKJMUYWq6UQTvyWrORw/z2/7bdz/PA+f+vH/g5quSUMgW7TY5JmOplx44lbfOnznyOhyUk05bZ15BJ4/wc+yO/4bb+NouSX1I8Dn/3CZ/kDf+D3892/+Tu5c+cNbt56mmk749O//As4W/HDP/yH+d2/63fyysuv8773Pc2Va9f42U/+HM8++wwFRy5T/pv/+q/x3/3Nv8Fv/s2/mZ/4iX+G9z021Axdj7FQihSHUvRsBsPgtzhrCcFDFmJDbaFpp9RjQPkBa2VzUFkLxZBClnJrKuRUdsIOqYcoLFoZVClcunSVfuhZLjvKrnCotaH4wFde/jg5RpK2KKs5Pz/l537pU/TjgE8ZpUVo8tVirGssJRlCTHIIDJ5ejZCW5GHAGOj8yI3LLUTDtu9IKsnF0CmKNnjvUSimh0cYU7FYy3S31oLsMkYxcTVbP8iuWlVUu+9VbS05BVBSYAsxYBtDN6zl4GIFJ0iBZjpFucL6bMOkrthvDzj1a+qS+NBT1/mlr7wt+cUoJtyYZX0dkc3H/mSGcxMef+wp3nr3NbbditXFKSBc3+l8n6k7IGyW+DCyTltMcfhxEGwcEGPHxbnYS+ViUZhpR5+EUBJSoPcjVdVigEuXrzFu19TWEkrNl956k1JAN5VYRY0weB+/9jiLxTkhjYDg31TqJTuvLaoknr52nWk94YvvvsXYbbh0+ZCQZxwc3uD266e0laKuJ/iux1Q7KZCtyGPi0rzlYrPhrc0Z2zjy+r3bvPngLtsxoE3Gh5EcHcbU1EqTKwtodLfEWjm8K2WEPey9lGpNwRT5Z+MwYrSUXEtKoMXuaLUlxUwsCl3B/sEBqyFw9vaLUCRjGxB6FkkxdFtUUWhnxdBrGjJJOhe+wxkrEqtcMLbl4Ei41qEPjLFj2k52X1NDjgnb1Gw25xjlUBYqbYlhQ2VbSgryMsyCDnbaUU1rSpLMvDKaWAI5J2xlqYqDEDk8arHKcXx2n9B76knDsCOAZQ3OWlJIqJJxzklYaQg4Kx2OejIRbbxWDKHHGtkwdKEjo5lO90hhwJqaK9du8PadN2hme+SUKD6QSmBat2x9BK2ZtTNWmw1GKTH7FtjkC3KWXpLSIv0xxuLHnnnb0gXJtO+orlS7zLgtim49UJmK7TBQohx6Oj8wpiCYzxj4wr2O1x9seeR7fIhE79HKcbI8kUtXNiQ/su43NLZC4/DJEyk01QRrM09em/B7vvvbePNezz/7xS+B+eplJVGcxGt81+0oUxJdsHXEqcIYPGfLs51Ar1DNYeh7bJE877A92WH8FCjF1m/5xZc+RQqe+d4e682KGCKpQBWV+CWUoRs7lNGIu8vy5OPXOFlWdH3m5o2nuH3/Dm1l6dUGZyzrcY2uNO3+Ad15D9pjonRYDAVTSebbqpHsDK7STG1F76OYqAtQimxEc5SDrVE88+FfwVuvvELqTokho6taqGEuE8ZCKgM6iDwxJi+XmzjSbUVKGbOQqDRCErl26SazZsZs/wrv3P8KOSVqXQOBg9khWz8ybTJ9vwUVWY0d43pJLIpa14TcC0ln9/O5fedF9q1hWlsWRaFS4d7FgrCj5WhtaKsJQydZetdMGLZrMdMqg7XyrldGywCjyOYq5UhOmaHf0FYO7x1NXdGHJaUIDhitUQ4KmuQDVhcqKrQVdG4Erl25RbddYtjQDUucMVCKSN9KZtOv8KFneXHBU9ceZ3XxiLAdiCWjnWM6dWyXG5pmj/V2RS4DTjUYXZHGvJMfKWrTUJJsAgoiDe2HHpsV2tRErZm0c/phw+hHXG1p6z2hjXUD3g9YnShRRGQ3bzzF2emKgoXiCWPAFMuaNUeXrhBCz/n5gsmkJgWPcZrghbgWQsJquUyMKYpJ3FhyHHHaYqwiZUFY1hUM44jT0mcICCEvZfmdMQZAiHigBT3ayAXaGAMYrLKEEHCTmvWwZBi2VFVN6/bYO9hjebH8t3uIb2c1MY/kOFIwaNfy/vd/gNqNHF3a4+c+/RUuLs53LxRAIaVEa7g4P+Ezz/+irOJyR6MbbNXw6c9+hg+//8NMJy1/9a/8Vf73f/j/wB//4/9nnv/s8/yPP/Y/cvLohH7V8ZP/7J9zfL7gR3/0TxF84s/+2T/LF774GW7eeoJf/vRnGELHW3df5xM/988JOTHdP+Ts4pzPf+aztJOGbX9BKhEVE350PP/8Z/nAhz7A+z/yATnqF7h/5z5/4S/+Jf6z//yP8P1/6Pv4937Lv0tKiXv37vBf/l9/lJ/71CdIBf7Un/lR/uAf/P386J/5Eax1LNdLPv6Jn+Hv/p2/Tb/1XNo/4GA+4eLsjF/4xc/Sj54r04rv/fZn+PEvvstL97esxw1HB5rPPf/LnDx4RDesOdqbcbJcYrShslMePVowjmtIihe//CLH9x5K9ttH/sKf+4v80T/2f+Qv/Dd/id6P/NS//Ck+/smfZW+yx2ee/wy/93f/Hl556WXWmy21bZm0U7rkeeml1/nQB97Pb/8dvx1t5LZ8dv6Qj3/ij/GjP/ojfN/3fT9XLl/mzt07/Mk/+SdYXCwJMfOn/tSP8P3f/338vt/7ezk7PeW/+tH/kgf3H3Cwf8BnP/M8w7Di7GzBX/5Lf45v+sZv5qd+6uOM44J+2KINuyl+K/guY8BMMKbgx0BbTyhAM2lYjB0PLlYUDSoXmtaglWG5HtBIXKbkXcMUmQBEn3FaSSnLKkxUzI0jqY5ZNWXMkaqpiP0oOeEc5K1MpKgabRNd55HcTfwam9cWi61bSAFjsshqTCbsSm9DvxEZR5apztsPbu/Y4wjtJWUymUpZZvM5o/esVj3G9YJeTJFNL1IiYwwla0qxUDJV1bA/v8Ry+QgfRuGJU2O1Q2ukAKgkMkKRyI9Gi70xVYKD1C19HIXAsQ08/9JtoTdomQLrYik4xiARE4tchM+HjuXrX4JsqHUj2xOiIMgi6Lphuuf45g8+y1de/BIPTh4wjluaSU3wEh+LfS9xipixztCRiDFQrCErg8WhjRQSF8cP6WPk8tEhJTcYVZGUJ/mAaxReR4ytxXvgHCpHZvt7dH3PXr3HvJpytj6mG9coChNtME4kaP2gUKx5643nqTBoXbNZr0CWhRRtiH1HLhowvHvnZXlulUjWtUxoSmLqarox4nOgtYoxKx47ei9K9WxMYhhhyD06ZZQzMoVUjoAnFgk9OmsoRCm/GU0qiYvtkspqgrHkAE014cbVm7xx+xX65NHZYnTE2EZwpmUAraRs7T1NXQsir0SUBmsdk9ZJvCYZbly9yvnqnPO1DFKcsvgiOnXjDNdnV7hysMerb21QRSZjQ+zAapLaCY6KxtVig80pEbOXzOvuUqaQw6NWGl1Z/JgIobDtFnhfqJTDJi38Zj9QWcP+/iGL0zP5XtRSOrVOU1QkIgfm4hOqWErJWOWYTiuGbktOHpIljomgtty5f1sOs8NIW7XkWpP6kS72+BhRGIZxBCVbE1VVlLijkxXJXodRiBQglyajpHOgs2GvcizjRugcMYNyXN7fJwbP+bCVbcUuBpLL7t9TmlxXPFiec75Zs7d3mblzDDESfKF2LcUmNl3Hpdkeh/Mpdx49oK4qxhhk4z2CKYrDvRZ3vGbcrCjJo2tNSYmmnpBVYWRDURltHNpWX3tHKKWpHYQ4iJk2WlyR+EnOEhIxxohhOg8Y01BKT4iB8bzH6MKYI8baXWzAok2iOCHnZCJNO+eJm9fYm8/40qtv8/D0GFdPcZXh7OS+YFCLbCAePXiT6CN103J49BjHFw/wJaNTBuMhFmrrwMzpfEdJ4p+gpP+ffkMhlUgzqXn/E8/w4I13OdGKaIA4QrYYCq0peCwlBMhi1c5FuKw5y8/IVGJcz0kwjpN2xnboWN19nVQy6IqSHdZZrl+9ynRqeHB2zDv9lhwD4yCeER9kw6rt/xflqw2EEDmJkU0YmLZTXFtzvjzHqIpnrj/Bo+2S1biiamoolhIzTVULdjVmeZdoIUuVDCllSs6kEHHGEEsRNLauGEKgaCvPgCxOH7WTbioFsWRSyTjtxFYfBk5P3qKqa0KWfzeVIlbYXChKaDxjDvzS8x8nAyPw/ievE1Li3YcXlGJQKPpxS20UMYvUSWkt5fLlOU1VMZ/u0W/XeITUtt86QtfjnGNMI7VqWC5PuT6ZsAT6nIlxy72Ha/Zme7RK44deWPW2YrlY04+CwH3vE+/hrXt3cZWj77csNxeYnfF5HHv5Pnpw1gkJqEAOmWyRMLpPxJiATNDi+dC6oh+WTFSNy5bWVjCp2GzWVMXitdhXyWbnDtgtTArEaFDaYFRAkaiKpaotPnoa05L8QG1q3nvrMucr/28sTqPKV6v9/3/+zNs5KUeUzqQMVd1S1xN08Vy7eoWQCg8fnjCpKpbdEo1GF0MzaemH1S6z6LDG8ZH3foRHp/d49+QOlRKmnG1i1QABAABJREFUZ0iZaS2r8yEGrNL0QbTBRonBr500hJiIaST7IJGHXcxAK4XSFXU9wdWGzfkZeae2b2vLehjQ2lEytM1O4TBpGM7XJKuxyNpWW1HDu6pGFc1yeSIFmFK4fv0663XHcrti0jY4V1OsIow9/bpHK8N00nIwaViFwLgShODlmeabbx7x0snI7fMVzfSQDzz9YW6/8wLbcc0QE/NmwrrrUCqJuKBoBt9TK8NeOyNmz8VmRTudE2IiR898PsGHwDB4nKmp64qE57FLl3n08EQsb0UuU2nHd3WmwhmDraYMfU8MGxKFEjO3nrjJ4cERb717m8VqgdEWt/MCTKuWK5cvURzkIfL2w/ukkphUe4TQEUvCKs3160/Q9z1nFw9kza3h0uFj/Lrv+B4endzn889/gqREHU6BgsEoS9GyciRDKRlFIuVE7AOublAqkpGVoLxsv8r01lRGIeFGhVaGlDyTpuJ9TzzJy++8zVASKQhL3iCtc2UMrWsJ4yjTOKUxOuOMsPS3IaB1zUFbM/Y9q+1ScqDWUuuKmBKesPMbgNEwxlEiAWhaaxlKwJo508mE7WrDjStPELbvcLTf8vb9BT2JmAttK3nQMEYg0dQzYoaYRuG21xbb7HFjfkCk587pCTZpcIWcFTkmqrqmqVqGEPBDJ/0CV9C6IcVIDh6QA5HVmqQ1kcC43QqBQimRr1gpglfVFB8HOYT3I41zHBze4Oz8EcbAweF1us0a79cysYwetEyZ26alGMtmvZQog5KinjUVrTvk4PJNbr/9GSmolUgshtY6qqoh+DVJw7Q5oKDYbDYSOTFpdynQXD64xKPjY65dvsXNm89y/8ErPDq7j8kyyX3s+i3O10tcNWfTnRPGNdcOH6Pr1my6BT6C1cJutznLtiR4QvTYSjC0JQhTuKk116/vc+fegsEnJvUEnwLz6QHf/NQNvvnmNT712jGfe+dleUGwy8Y6gzYIxSfuYg4lUalaxDTjgNKWa7OKi27EsxN9aYOrFCpLPKmUxPXDy2zXay7CiNOVyIFU3JVIDZVROFPIOVO0Yz6ZMrVTXO14tHiEjyM5ZPZnV9nbP+TB2dsMg6dpZygKQzdQdqjWkArzgznr1QJTFNbVUtoKsMkjlYFJPWVMiZKV2EhVFAFONmRtMEhxr6hESVAbh0+JUrJsQ92E6CU7GvJIjBmri2gYisjCjNGQIOeAUopmIrQQssLVEwbfYZRGk7C2IpTE/uwy+4eXOL5/B13BdruVF6WS+KTZWZPbqkYh2XdjjKjk9y+z7TqiXzPGwKR2fODWY7x09x4hicJlGL3gXJ1MRUP+qodDjNLayHZL6YLbfSZSBFfXZC/vMmUNT916lnduv4210kmZzyecLpZobdAq4YwijmBrzcH+nOV2TeiDbCeMI/tRLosogo9UlZBTitagCgR5LxYlsShTDEpnJq1hYhtSydy4Nme5jjxYCtFmPt9jO6zIg/Q/ppMJ3XYl5WNrOZhfxhrNanVMDJliLI3LRA9DDjv6h6bkTFU5gpdDJxQev/441mRuPzjmyvyQDzz3QZ7/8mdIZJL3aC3Y3jBGnnjyV7C4eMj5xTHKWlQJ0iUqBUMWTHSCa9eucrE8JadACNA0U8aQAKHmKSVUHVIklYIyhklj8F46LNoo2WAAJWXh75uKa4f72Krh+PSMkCOPH835lo+8l65TvPngPq+/e4zRkllPKZCVWH2zKpCLlFFJQnPSWmzX7T6kSOcDrq146urjvHXvXbpxvbOiJkIevwZMcKrC1vJMUloTUsS5CVZZus1CHDPTWqJMXYdWFUrLJN1qqCpNN/gdunKHE44ZawulNKSccAaeevJJHjy8z6brqKtKMuUp7ky6gpmdNDNMM2fsl9y6dkhMcO/kFJ013XZFsULKwkjZNgW5FJm0m+RqGXLFlJjs7XE0n/Dg3jHz2T7FRvquw+DQuuDjQCqWSmkCnqaZYlSFHweRVKVCYxq8CpQYadpWpFra4H0i7XqbIYuUz2jI0aGtkNW2w4jOiqAzlw73KT5ztl7K93zSQBI08jD2lKLQCerZDIXh0v4RRWUent4jJYnsKRTNtGYMAyRD5abUVc1ydUFTO25ceQ9nizO2mzNBRbvCtcMjvv9/8+/wj3/qeX7h8y/Jxv9f8efrOZ5/3Yf4pq6xeqeFDmWXFzYkH0RaYw1NY1BZMfqB6XwCKbPedCSVscZBzhRlmboGrTPbbgtK7eQ5ZrcCtmz7Eet2GURtd/g6kV1oK81vUiJjRIWrDNO65ulrj/ORp57lZ194nkfnZ2SVmVRTrDMsOlk3VfWU7EfqpsGnkewLrnaEsRPLolZyi82aCgMWQghUruLw0iW6TcfFakGkcHQwx8fAuHsyVG1LKQVbFFkn4mCodEGrgamrGIqly2KLM0bKNDEkYvFoZaiqmmFYMZ/MOGxaHq42pAyXDg7wY2CxXUoGXGlyGila72gYQiYxFK5cu8Rv/Q3fySd//nneun0XpQE0Vd2Q48jUzXBOsYkD4zYS80DTzETEZDMxjYRRcFvTZkbfb2jbCb/lm76T1tV87p0v8NjhjM++8iZrP6LQWFcR0oBCk1Nh/+AQSmI7etLguXLlOv/h7/4BXnv5C/zCp36CflzL2q8IAk8bg1KKlDOT6YRxhwLrh5HKSeGvqjQ5yqovJaG6BL/DiJVCVc3ofY/aTfGFXiIECmNqebCWglWgnBS2NGCVZjv0aC14vpKhbWcY46hdxZgz235DiRGtRkKG/ckBy+0SZTOVtcQo0iZnHOgd41nJ4SFH2N8/JBMZ1yPf/f5L/L5f9UH+T//oF3l3HfDBow34GGXbUNIOC2nAIBOobJnPDzBaYa3i5PwYVRLFWlQytHXLwf4lbt54D7/8hU8Ilg7DervA2SkmZya1wroJQ59onWM5iogj70zBSlcUBVppKlMYUpGISC6UbHjyPd/Gt/3af59/8RN/iX7zAO/9rmyqSSpRxoS2tRAYKoixMJCpbU2OI7U7IIYtWlmUmdD3MomlRJS2ZJWpKydTMBSz6YzGNHRDYbM9RalICBlTVzRaSojf/Ws+yp3jLV988XUhVTRaVshjApVQSVOsZq+aEctA0Jr1YoFS6mvl52nb0g89yQd89FSN5PT7sUNpQ2UkH5qy5Oe1qUkhMKktH7p6i9/8jb+CLz14wMv3bnNpts/JcsX9izPGr+Iqd6Xnpx67xf3lMV3XS4E4JebzOSUGUoj4JLU9ZVtSGLl2JAfSR+cnhGErnxej6DcDShnqSjT1Qz8I4UQJEjEXQ20ajg4ucXx+X6ZAtaEyFuemJAzL9ZnQLoLg9XSxZDzWWVJMWOeEcKIESxhzoqkcCkPlZPPTBU+KMnmTHmHG1nv4ocOiiSmSCTjncK4l+UDJgoNLKWN2Jd1i5XBca9BF46UtiHWIVMcY+XsArkjctJ0d4ceBoRdGt3UVQx6onaW2exgglUQ3buRQlQtOG/LXBj6GYewA0aArZZjVIvXKuZCSxpjCB29e5v7xMVsPnY+4SjP6CEYuBVYrWldRO6FnXSw3ZJ3JWQ4wzlWCJdQ7sZiSgz/GYGlpW4UfOrIyaO2Ytnv0w5Zbjz/Gu3dvU4oixYxupEcRx61cHmJCZbC1IasKXQqj71BKLM8lZuq6IsbCk9eeYrk6w48Lvvc3fIQnLl/ilfMFv+HXfZRf/uKb/MNPvsrxesTHhNOKMG6ZTuaEAMY4hrAhxYxt5oR+hSmZAsSSUAraZob3I421GKsF72oK2SvBP5KoJ3P2astyuyZGiZiGIljIlCXqUk+mmKxxqmI9dqgUSVkspkrZneMC+QyWjK6k9Fu0Zl4fYbXi3ukDMHmXwd4NFpShIFntw/0Dog/4MeBDpFi+RhrRxVHZmvn+HsZo3n/9Bg8XS9bjghtX9vnSy2/Rj0L8Ojg45Mr193H/wTsMm1OhUZEE22mcCOWIqJgp1kBIWCsxDq0NTdvSDyPRe6y2HO1f5mwhJndrJF5mnSH4KEVypShKtpAhRFzlmE9mFALrrkepglU1k9kR/faCVKT7ZLWgZmPqSLv8taHBx61096qKwY+oXKHrIiXy3XTZKEXdinSwthUxBHzy2Lom+Uj0I0YZcEbK3UBKBW2VKM9SBJ1RruXa0ePcf/AuKUUpwJdAU7cSo/O9YEFjxtSGjKLRljF4prOWVGCzXOGsQSeFqTSuctS6lp9rPSXFDeerNXsHR8QU2a7O0QhcZG9+wGK9wmjZxKSkUM5S1w1+21OMBRQ5RWyVUAl8SuSk0CXLcK9uaIxlcnDA+dkjVI7C8Y8jrpLhlMGgMBijWYctGs1s/xKbiwucgjQG+e86x+HBjOViyelqLSLBf81D/NcdpzHGSExAKdBFxAbBS8aoJISok8gJjDKolNnbPyJkQ049IcmNVblAHwKuquQhWgqJLOVB29CFrfDBo6CwrJJMMVoJOm7XjJ+2E4IqDF2kso6xwFjEqqm0JluLVoU+eIgGo4Uu0VYVQ4okAo1z+JK5dPkWp2fvQLYcHhyx3ZxxNJuxXfWEnKjdnFAiXbcRvJ/VWETCEaPcllMMlJDIFIaoqFtLUytUGvjODz3B+5444v/9C6+xWWWUSiSx+ZKzQmmYt/scHVzl9sOX6caBqXHstw3rwbM/b2kuH7J9Z40zc6xTbDYBkw3s1rhWG3wcOLvY8Pf+53+BilqiKkaSIoeThtOFZxxHfIAxeylt2hpVDNNmwsX6hJQC08mM0WcxTzpFIdNYR2NbHj1a8PD0jFAy89ke7WSPyXTGO2+/IiUVW3G4d8TefJ9Nd8rMOl579w5/6+/8v2TtHQdcXRP8CMpRVw4fPCmN5FzouiKZxbibuOsEeYcoNKJmLEWhtUyIMoXaGUoa5DBq9M7QuJtS2VrsbUXWcblEdC7kmMjGoBuDiYZKG1CO0Q9shyXGGDaDoNka2zAQ5ftsCl2/kUuTs2I13Wm6xVCaaaxlr5lineJ0sWHoN+zVNabWvHS85a/+wiucdEkm+0rLClZZyYJrw2OXHsNWFaerFf2mp2okixr8sMstZqw1mAKQaespF4tTFhdn5DzCCDH1ghvc4QhdNSPmTNGKx248zertF1AEGmeJaYdsM5YUeoYsbP1SLMSIrmA9rrj97rvkuCUnOZApLZsz7wPOGFFt54AvYkdVWWOahiuXHuP05AyFZjtuKbqjViIusU6TtCHFhA+jiFKKYrNY0OmKpp5QOcjZkWzBJjkAT9uatqrJccV8fpmxP6NBtn6KIjGWkiDVXPRnpASoQlsbUi6UpEjjwAbp1MzmB8TNkrrd4+joCicP3iGWSIqREDPGaSnaZ89sb84Teze4fXHCjz//ZbIdadoKrzTblMiloJSSyWspOF3z8OSUIUec1jhrMc6SUmD8Krdb1eQ8YkhgNYt+C6YGn+mHnqqqCaNcJrAFHTK1nmL0TpKiFdbWpBQZwpbjhaeUglHw7K2n+I3PXePu2ZpPv33CcodfM0VJhl4pUnSkBImCLlamyZXaZflric/oSO8V2imUsejdxaNp9qkbyzgMTGY1sevk0usMKEO/7VBaCb87yQUqE9EaFOVrpdiqMUI4Kgo17rTkKRFVwVpZ36dY6JZrlFEiM0Msw+wwgXbqhKh19568l5Rir275ro9+E++enPDi3dtig61bucQGTwaG0JBSApXlkjTZo86WP/GdH+OFkwV/7yvvsA0wndTYPGU1nEOBqB37h3v0XUfTCO0sFcS6mhVK1czaGR1rcvFMJzOGMdBUidEXnDIMRVNChFbK8yfHC5xRFKMoMTGOkeneVYl3KZka5yKTdlPEf1C83vVMMlEVmsmci4szTtZLlDEEZXm46plWS0xlufXYEcdnF9y4fImqLrz97jtEoygGxtgzpsDUzplN56w35+RxJYQqDVWlZDoeLMUYrDN4X3bYXc0HrxxyfrHkARmdIYwbqA/JWROVR7ua1I9YUwnRDi24ySKRJVdXXLl6k4vNOd36gqLiDuEnBeTkFSkluhjQtuKxy1MO6yl3j+9/7XMXv3r4RQaORRk22xHXOLIaBX2YhFznjCHGUQaKybDcrnhlvMNjV97D3ZNTNt0ZsRiMlWHetUvX+YYPf5jTs7tUh3tsViti0NhiiN4DGmsrIp4S0s6qnSXbT+ZiuUIVdhn3wsV6RVYam6UwH7TCWUX0STpMqYj93BraxhCxGG1Yb9fo4kg54FUkrs9pdjydQCSWRIxS/kxhoDIOrQNOObwPmJLQ1gkbnUSK4s+pLDhlZcAYMyp3hCGxN5vT+UGINrYBbQi+w2gZijWNpAE2iwU4hTUtWQm5xtivmiwzSjnGsaOp5rR2Qso9qnJUrSOFXdYxZsatsGCclq25qg3aRB6/vMe3fewZ3r5/xhdee8R226HJFN8RYhDaVRoEp20VKmUsljFFyg79uI2CVS5Zopu1qykBPvie9/HOvTtcbDqykZIxMdOlgbA84fLRESlETs5OaZp9hmFNJNDUSsyzuVBcRSKyOD0hhBGqBlVpTKVZdVv6GAlhQBo5//p/vu5DfDaGPCam2rE3FZZntpa6qhljwKdM8KNMmI3iYtux6Ta7eEOmnc+JPjCZy23GZfmFRmsq67Cq4vKV65ye3afTIyVHUkxMqobpdMZivSKhuNROWW4WdCFSSmQy3WdWN6y2K16/d5+3798BUyjKkkmk4qUIZiqK0mzXKyJZ8G6jfLDGsccpKV8tV6fEEHnyscuodMb9s0e0LhJiYbncki3oqoEQWK46nHPMp/uUKTgzxQ8XNDNNSoYQNxzsT3n86hGj1qRgqaxj7+CIvluwXJ1TgAqNj56LYQPKYgqcb9Z8y1O3ePVshWlb9vb2mM9nrFeSFzTacjC/znZY0I9LKRrpilQUYx8o0aN04fLRY6wWKxZDx5gDKUs2zSpD1iJ8GGPPZhOpjMNTCClSMmQy1rRUxvEvP/MJCrAZNmRjUEYRhoGYEtvVgmnT4rMiRM+de+9QOcfN65dprJOcbDoDMjkltGnk96QUMhL5mbRTuq0Y37Iy6EqIMz55THIo1/LE0x/m7jtfRoWeNKqdDlsm4EUXauRSExhBZbFT7go1la2ZTqZ02zXKWCpbmE+n1PMZD+7d2eGrlEywVCQnsZxqa6mbKQXPEDy1baBo2qpiDCN7swP8MJByZvQjQiTSPPv4VW5evs4nXnqV0/NjjodOJqmD496yh2KZVgesNhe7MtNXtwcV2lq6vme9PEcrxTh6XD2jtRVVI6ZKPwZSEGrUabhDM5uTY6IxFWAJxlLGnlntCEWzWC/IWmGoeOPOC4xhS9PWhBDBWJRKu/jbTCgX1kGMKNUQS+Ds4essjt+klA6j2JEIxNqcY8bUDSoiMYVSKERAs1meobMhxC3kgHMiHYs+7PoFFmsytq4ZNgFlnaANo6euWypTM2kUXQgw9BxNL3G2OmGIin/8ic/sMq1ygdqMMizQUqpA24ppY1h3csmqrSbGSNYGrQuuqjBaMeZEZQyTqmHse06O71E3E0rnGXOHdU4ulLvy1xgCQ+5Z9h0X2wU+F+qmIo6eXJCJi7UiM6KQXaD3kXrHeq6URGW8H2QSWKCZTNn0QV68Xnj6a3UmDoCyK0pZIy+8FAlAHhLGOoyt8GMnm6QShM6kMjEHGtOgPJxuRpbrFWerLWgoPosB01b4MEoczkrrrST5e8UoB53GakYVoSiiUsTOY7WjbR0xBSqbaaqW0C3wfaKy8juTS0RRaCet5NKF/EftaoYIhYgp4HbDhGbSklRHihFra1QESpBnfYJAYn//kA888yxffPHLqKKoLGw6Mf2OYyJvVkTvgCj0B60Yc2Y5bhiDJxUhBrmmkc1n3sUgSsYqTbt3xHKxYKI1l2dTnrp2wLpYmvYhrVW0TQ1OMekvcbZYUUrk5PhEsttGuhWlJKwuaCuF+9rVqBJQxbAdBuqqQduGmdEMcQvek1VgsbwnKMz+AmMKMypoarTJDMMFpSiGoaBNlk2fhlQK2UtpukTBKzpb44rClsJ2c86knRJT4We+dJ+fIXPp5iH3Vz/N2emGuw97QqmwTlCGlW7IZWQ63UelwLZbUrLBkNDOUUyRrLXWTNuWlMXe/g3vfxZN4oV33mQcPc2kRfstaOG9P1icoa3lUjPhg9f3eOUcLtYB5xqiToTRo7TFGPk6Lk7v4nNCG0OMkWkzJWRPHzzWNTTVlJx6fDfw1u1XmTVT+QymRKWVfMaNfN5Lks2ojwmVIpWrCSbhKoOxDfPZAZv1ksF3XKxPaJoJjzYXnHdbfL9kb28qw78c6X3g7v0HhOETDGFNHAeGIYJz+Chb1ZyAncOkFE2tLdcvXeX22UNSGGkqS0lFrKKNJfsBlcDWjsYETDFs+yDYyyzPNmtrklL4sKGqHF2/xdQVqhuojCUVy2zvgGtX3kdJpwx+y8NHDwhjJPaetqm4fHSDpCwPHrwFOqNTRJkG1TrwClsZ6tpx5dIt7t57Q4SeuRBjJmnFNm4IKWG0DGBSGGgrx2z6OFUz5/j0DWqdsFaGqCkaShp59Oi29KmKxFbr1pJTJoSeqhI/QIyROltKzoybAWWVfP3aoqeKxrSE0OFj4LmnHucP/I5v519++lVee+0RfQoUDT4Fdlg6nAbInJ2d0rQtxtQMoyKFgLHSS8ohUrmW/b3LrLcXqKzxMZKUZloL4nw9BrTK1MZRUmbW7LH2S3JO+NBRishD+yGhTSFjqE1L9AMqBWb7+wQfsc5iXIMxhW7YUFUVUub41z/If92HeGJGK0vOhc1mg60M89mc1WpLBCazlmEr+aSRjNqtRSMJjGO97thr50zbPbb1irnbI0fhhKcUcc7y4Pg+JQ8oFLPpPuvNAE6z7tayutOaLvYyDVCKjCWXxMVmgdNWUG05EoJHqYzWFVZXgEQF2ZkPU8xMdY1uDDF5lstjKb0UOfg5q3nt7m0p4GnNGEZiltZxieVrDOW2cbuvU1FN9tib7HP68AKlLYXApf2GZ65e4yt3Bt54dMImJi4f3uI9z3wjr771ebabDdZqShRk53b1SGjHpiGUxPO377F3sM+1PctTNy9zdnJC8StSgXG7ou8WDMMGpR1BUp+oIBcpXzKmKE5PjlHa0I+SLZ8YSz8IlzyliKsUzXRCGAMqBdra0g0eo2s5gNhMH7esU6RoESs5MkRNUQFPErX6rMYvtuz8SgzdyLv3EqfVOap4os9CSiiZyjmKsnTdmhKlGRIiaFfJmtrsCp61Y+gSrtYMvuPNN17GkWjtPtu8QWfPZNKQfKIPI9duXKNfd1gLh5f2ePRA8pvykBhZe9kAFaXJOdMNYp4sStaAQ78VKYaSPKDOkufdbI4BTS5i/p23E5TfPWBVYiijvHyCFDitavjy23d5tN5CGjGqyAEuK/o84pAHTLfZoiULQeVqdFb4FLjz6A7z2T6T6YSctJRbw5ohQxV3WLCiKaZQ25aQ4i47rnGzBoaRSjkGrYWJrGtSTjt0WxTFd23wUYpdurJo3aDJDEEEIkeTOYPasu06jFZkPZJ9lIhAKSidKWXE2ooUoxyac6GYRnTWO35w5TTb7SmYhHYVh5ce5/zBHWLWOxSjIquMK2XXfYlMpzP8yhOD36m0M8oYGmd59vEjXkwdw5gI3pNQlDAwmUzAWkqyYvDLntoovu2Dz/GzX3gVlzNDilzdv0qfBvrtCudarHOMccVidSGkG+MYQiQnw/Xr7+P4/C1USozjSMhJNifec/v0LvV0QuqyrGoV6NaBl3id1pqSIskYdCkUWxh8BAr9IMjJyhpiSmSlQUfa2rIdPE1T0dRzhtSjTEGlsnu2FciZeVOz7j3aam7depaQE/fuvimMpqqmHwecqVBK4Uvi5ftv89I96SUIyQmScWQFKo9UFBprGVPZsa5luBJLBmUpRnPr6jVaA3fPBpq5Y7k8k98dVdF3nVwiNKI090Wex8bKFtUkaits85KzZH+1pqAYQqLaCRc2yyXFWCqtONi/xv7siDt3X4e0QGFwVc3lw32OLl+hmUzYXpwRo6JxlsbVHB4dopTl+OIBepepTzGh9+ATX/4yKkeSFizj4D3KJwxG+lvJkXSg266onGXTd/zy7ds8WDzgyrX3Ubs5H7p5yLd/9P185Szxc5//LD6fUWlDzgpTVcwOb+HHLf7iDq5YDA1o2K7PmO3tc/PGM7zwwpd48uaTXL32ONNpw5fefI3Ts4cQBsEAm0ISuQneKnTbUKWI36zk4ETm0uF1YoLtdoEKI8UUQoxo6zB1zbbf0o+9cN5Vpuu2aKs5GXqMUizvnPDoeIVPhaHzAPgk4j2yEMKaquH8Ytjh+jyDVtiScSkRQ0FXmu22+9rmYt1F+v4EcuLtxZZpZdE7r8JXL/clZY7qit/3Te/jxz79Br9w9pBsijhLqgmNqynjQNGZMXihttiaadVy6eCIdb8lblbUOxpVinJ4KynTx1G6C0VjJi157ckhoq0i+ELS4h8JKeJTJhWwRTYdYRzJOWIxTOeXiKsFTikKUvJe9RFTWQ6mNxnrJWPX8+Dck8iMQySXKJ4QpUQUVNfknJlNpjxz4z288/AOPgTK1w5sGmsKhIQOGZ8LtmnBZi4dXQETePPeQ3JCokRFCsqusmRjGcZOUJFMUBOHsYXN2rPdLDlVt/nd3/Mb+eXPf5HT4xOyyRQdCalQKksZI7WreOyxy5yerKmmM7adJ+6M38oZxiBCOXkOFEJQIsWKFqOM+Eq0IsXIUCKm2pKIxOBZryLaWEkoFPkaTSWJaJSTTe2Y5FnlLEkZ0Apn4fDwMt22ZxUjOWestVypJ3gdWQ+R6XQfHy54/eE5f+d/+Txv3j1jM3YYWxFipusG6soRc5Rp/DiitMGhCERSCFy9/BizpubO8bsUCk8+cYvFekVeRI7aGR/98LPkryQ+cDTh9ZMVb56e0W07uQCSuP3ubbSGup2itWHsN6hsMLZgG8fBwVW26462qrjoVjz7xNOshpE7D++wWa4wBiptBPWb/s1M4r/uTPy0mQJZ7IwxkHKmrluOZpfYDGuGtEUlKXJpVShaUZLcwuXIEqiqmhITytbM2kuEnPCjTHFvPf4EX37jZXKKNLZmPtsjlUAMiU3fy2q4JMnMGoVWsl8rSrJ7kQweGmvxeaSQyalgrSNGif2kBFBwVUuhSDSHJIzaDMZoamt5360neefhQ8aUsWSGvse1tZArhkRTG/pSaJuKvvPooFDWcus9T/Dw3l2USxwe7PPtz13id3zsMT710in/86ff5qwbKFFRkAkGaZQbsbI7AURA6UhKjqQbZs2Mqvb8h7/lV/Jd3/BR/tyP/QNee/sup6sOVaByBq00e/uXeXR6h5QUlRFe8uHRPpvtGu8FsWhQKFtRGUvfb6W1TqGyjqaaEuNIpQ260izWKyZNgyqare/F6Kml8Ng0FcknmsqSs0hASpRfxrEUrNVMmgO26wUpZ5q6onEVy3FAZcAUJs0huYwM/QZb1aKAjolsoHKN/FxzJGsFSay3EelIlNSjVLU7BCRUEWyUMTVYxTB0NHVNLoU8DmArUWsrhdU1ptL0/QhZYWtL6LdkUzBFkZMUXmOUvKZSBWsMJckUNuVESoKUc0bEN66e0I0DlQNbNfjNFu2c6NNLYFobYoRvubrPxQivLS+w2hAiZJ3lgOcsOiSaukKj8bGnoClZkZ1kEFMZBZtqNXt1TbfjzJeQsXVF0VYul8qhSJhUUE2Dto5h29NYTYgi1IlZSZlMN8QoD3BnHMZJBjejqJxE11SOKMDniNNGsuFFTH61tihTsR3WuKpCF0NbH2Bc5mJ1hqst2UdUqcgWHBZlFTZkPB6/o/toLaViSZIYtHHsTQ7pfE+IIzEGwX+lzMFEyrtBJVJWkAthCGLes4ocPZVz9DFSW8OkcqyHKGtpnZi6CTFDCrIlVKYh5FHsuIjl8XDvGqoUzs+PmU4a5rNLPDi+QzEFvmrFRO28FJKFDVGm/VYpojaYGEhBMInFKhSGGCKlKGpXC45OFZSFaTPD+8A49DitsZMGpeX3CzKaCnTBBy9kFTK2api6Kd04sHdwwGazIPQ9tbN4MlXjKD6KFViXnTJeePpaC0nCIO6ID3/gKW40hnceHvPW6YaQFM10jnM1q+Wp5ICnLY8dXWbVOzp/znJzgR9GmaDXE7puweG05qmrU4agebiIrMcOoyqcLWy3Hco4bN0QwyhTel3kmaw1JQaa2jIMcghoqinNpGW9XpFLQBWNMRLbDEmja/nMxHFE6YpJM2Xv4Cq2bbh39w2aKuKDdLB8GIXcUgClaHTFfDbl9PzRruTnSCkThbuGlMsbKifbFTeZoI3j8YOGjz15lS/fXfLqu/fphzXONjRtxabraNsjco702wtqY2naCT5mUpT3y6XLV+m7NYfTI5557hl+7a/+1Si9xz/+X/4JL7zwqd3vX4HscE7KjevVSvoG2qAs+JCYzw+AwmazwqhCCImkDM4YmkqcJKYooVHZgt0VhrNx3HriKU4e3SP4UQ7WFIzOxGj44Ic/yunD+1x0W4btEq1rMaaOA3WNTGGNpvMedqxsrWW74oulqisI406e5cgEcT5oy+H0GsvulNZmPnzjkFceLnjYeSywN9vHWscTe4d85Imr/NSLX+FkvZK4S8q0dY1uLMln9meX8KFjNnUcX5wTgyKFSD11TNs5s7plte7pugVFl50gSTLdkYguQn2JRVHtCs5XD97LZDrhnQcvkX3i295zk9tnFzzaXJCybFbJhnZ2QFUyq+2KthH2vnYNy+1CDlNWLNI6ZfzY0Uz3+NCt93O6Pufde2+jnCOlHmMd2SuMM9RVTd+vZeypDa2tyS7hQ0aHRChJZIWp0NgJY/b46HFG/DKXL19Bq8zh4RGvvfUms0nLrZtXeHDnLtvNSDY1Y5K+SFEWUmJS19y6fpW37h4z5hGbHdt+jbWaj33Tx5jN5vzyp3+J6BMxy6Y7RsmxT62mGz2hsqQh4mpHiUHiykQoEZ8iFktltNCarGzDtBZM5Nh5Zm3Lc+97joHEnTdeYRglfz6rGxbdmlQity4d8se+51t56d4JP/nFBTRzjs/ehhxpmoZt8FTF0Xcj2RZCCEyaOaPvQGkskHKhdhXNZErTVqxXHdoYKbGnAWO1CJ+U4urhIU9cv8G7796htZqHyyUjshlNyshZwzTkEnDWsT8/kMLydmTMI8ooDg+usl0vuXH1gDFqzi8W5BzZ9D3aaqaVpRSN91vZtpR/9UH+32wm3sqqS9aiGW00pcBsNqdqJmz6NX5YkLAQPb6AtQVt9gQLhqOqFElZclZMmz2xa00tQ7fhpddeRhlRK+cYOTl9yKSe4GxF0x6QSyAOS0rMcthyuxthLATvKU5TSmQYR2xTMQyiYs9Z1tFZiXhJaS2ozKy+hh3CWHJOzNqWqhjef/N9nC+XPLg4A0RwlEJijD21rkDV2FTYrNaoorHNhJQC9x48EEJN1XKpmfLcjatU05YMEl8ZxVDZx7W8zK0lFU2MAVciH7p6gCfy2oVHp0AsmWEz8slffpnbd455++GCLgYphRVZ4ZiqZlYEUfjY5es8+55n+crLn2ez7ujHSKawd3CV7EdCGHDNhKwT/WYr+uXo2cSEUoaoCmkUA9oYvMRDisEYS9tMMMZy9doBt9+5RzOZMPQdAEEVUs4oNJVphYllNZrCzcNDnrv1Xn7+pRfYjgO6aGHwuimeEYsllyI2ypwY/YjGyRo2BCZ1RQnyIUsk6mqfXCIhyQRJa810eoC1FZtujfeJZmIly5vlxa2xxJIIscMVKzIv72mdogwKdIMiEpVc8FTeorSmalr6bius+lpToqx3QTKvtmqIcWDiNBNTWHUD+03LepQXpDLgd5a5401kHRLKOcYgGmxnNPNmymboSSTizhqoTE0M445NL78nQ9n1Atg9RHeHRm0twUdm+0coV9P1W9Su6DyOPRMLWgV81DuWtGSHpQxdSMmiSmR+dJVue4HBY20lGUZTKEORKErlyGkncCpSNkva4H2HrWqMsaQUWXUXaFXYm8xJeWS0jhJlAq20IvgEysjP4Kuf0bTzSOwiK84ZigW/HYklCC8ZQ46Z1UaiHkFJJ6JkhTJKCm2mQuHQTiaZYgyVuNbB3j5dtyQNA32O2IKox+mp3ATvxQpLKMSxl/WnhmHo2XR3SSWgkxVEWwGlIleuH9H1PYuzLUYr2moXQYlJCi+1/P1ikqiGtRU5Z5wRmtGQMiZLHC/WiYfjQNYK7xMxDVy9dMB2s2EYBrIp6KyotSKbhmtXn0DpwvbubVQUgzFAN46YuiL0Yjx2xhLjSCmK2WyPGIVaoZVjs1lSOcOb9x/wQIlvwVkraNTa0k5qVqtMUfBoseFsOzCZ7GGsIRVwlSOrRDYDutLkbPhN77/Fw8WWv3X/LbKGlEYGn7Guom5aUpJOS4hCLqmqhkzE2oYYA0/duEo3ai42C/x6IGfJGINwr7f9yF7dkMbMmBMYjXKa9bCiP+4wtSMXz3LjqZ0VpnpSQCKlJDI2G1guF6DtjuMvgAFjza58migpg2vQVWHVbzicX+Kdh2fcvf8QZaX/EYLEibYbDwb64RyrxUjrXM1mu6XoTOUa5nXLR2/eYjOseeH2myxeWJKVgax4551XJcYXgph5S0CXmg89/c184eVPE9KaSKF4xdX9Cf/ur/8Qq1XHT/zCVyjJkKxssvMwEkbIqdBUBh/zjpjj8blg9MiDR7clK+wqYXAXJVtbU/Ho5B4X3QXjVnLPk7YQ/ZZZVfPM9au8enrMxXqD046skwigUmIInqqS4QvK4JyWn/nOLWAM3Lh+hf72kiEOvHy6YRNFinbtYMZ7bj7OK28/4PbigncvjhlDwBZDqS0mITjdnEhhpK0d2zFxshwZRynlGy1CM2YVXjmc3ZLiSNSyYWmmFjedcMPtc7G6YDuuSSmgVUUIA8fnb9JupxxMZ6zKlhfvP6IYRSqFECJt3aKIjP2CqrFQZXo/YoqlQqhvXz1flLFnzFJQHbs1L7/5JdR0jqtbMQLvaGJZaWbtASWMTJ1h8BqfAtVkRts2TLJivVoxU/Dc5SNevegIEQyOptJoBTl6Th49ZDKpccnjUmaxWDKMPa5oiq7IJVA5I1Q3nTBuQkTx5u07lLyLNpZAU0vq4P69RyjuUXJBoWmNJZBkqxcjKSqefvo5nv3Qr+MLz/88D09eZW/aEoKhPbiB6s7RJhH6gV/75E1+9u67rDcZYyT6qa2lchajFK++9ToFCD7tyIeazlvpvEXF+abjc28/ZDWOXGwecHF8l73ZlJg8F4sV1tZENWJtYEgGXRSVNVydXubRZkFVaz586wafe/kdtr3lufc8zUvbV1j2C1SKwuM3mbZuGYfM8eKMR6fHlKSp2xlDzLCTPeaiUMoQfODa1Us8dv06D46PWXcDPg/ElHHKstouiMnz1r17TCcHKA3jOFJXikk9Z+iWdDELHW0H9vnX/fN1H+KHcaRxFRqLUpHaKELy3HnwNnVzhLOaPow4o0lFUxC7XkgLnHM0tuY9t97LmD337t3h+PwNMhnjLHH3odVZ8nYYjaosWz9weWZZLk6EnqJgMmnpOimMZC24L5MgElCNIfeBcfA4XUvxKUdyyYJsy4qcCspJ+XY+afHeE4vGTRRxN/n/zKsv8nBxKkjCXfZZJclcW1PRGkUKo/BmAe3MTkleCHmgZMN8Zrn51FPcXXe88O6adVSk4ojBczCvGFMk9oGcIOXEaDRvrVb4MZKTxeeeIQV0Lrz6+ju8c/sOOlvW0aNyRheNNY6ioOvWNK7m+tWrFA0He1eYTyxv3LnPql/Tb1ayxgZctvioqespN64/Re8jjx69gdnhyLSSroLwwQ0YgzaSoS+p8OjhQ6HbdBtUksNi07Rsth6MwScYfUdlK8YcuLtccP7ay2xGz2y6L6vXzQJsRllFVcv6KxmLCglVoqiUjaGyglFLKpGyYTKfc/XgJuvNgpwSfd8RYs9TTz3Lk0++l3/2z38cZZBuhi67yWzi0sGcZbchB0NOkayD8JgXQaYcfgQj25SYA8ZaKGpHThBesXYtztR02zVFZRKgc0YBB9OWZ68d8uk3HrAeExkHSHwllowm8fZQSKNHO9DOEUZPKoVVp4VDngIhZ6xOhJBlqmuFGOB3hd3oPUULY9xhmO/tk1KghEKrM4PfCaR8RBuNcxWTbCjGsI0RW1WkkJnOpngvEa6cPU01ZVidQYLrl26w9F6wsEE2X4ftAT4NeHZMZV3YDjs+eU7sVXuUnAkENiWgrcPHjE8JbRVWIwe3EOVikzK1czx3/f2cL085XZ1glCEX+bm4xhF9xxgjOQXqtvkafWOvquhLRAegJJyqQRdizqg4UjtDHBNWzqQMOeBsw2K1QiuZ5Boj0qWcFfPpPs5pOiUxO2My6/4cNRqJDRmN1gWdHQWNshVkKbEfPziT8ioJMKy3A8Yackwou7P+ojja26cfO5w29GMvxcTkCETImUenx+ScMEZhjYiHUlGsup4xiC7dkKFoii4oZVitLuj9VopxqxPBtWpNLAlNxBoYo0cphdWFkAWBWleacYhUtaPZ32PcbondSNCaEBWajDZwfnpC28qEuxtFtR6DGCIpijhEtJZC7SZ0GG3pcuTjLz3k0XZAOy0yp9rQdYkQPXnrMUbjd19TUZJLhYyqHCkkIpmuF+Z/IgvepySUqXDOcHh0jW945lk+94UvkLs1QemvyadQgZQUpUAzabHFMo4DTeXo/UhRhUSkHzNN02BVBpX42JO3ON2M3Ftd0G+F652CZxy3TJqapoLV5gKVPNEochdJKtLOHUPQMAZc5TBml7mtNb3viKWgi95tQgaWiy2TuZXS/GbFz33qZ9DOkXcb2ap2lK9eKrJn3a9IIaLROGfpYqAoy81rR9Q3j/ill97h9NGWVISmYZTQfiolZfWcCykEKJnL+0cMvidmMdQapSFlxoKQX1xgsTiV+FMqGG3IqRCjx6fEZ99+i5TlMpVKxLiaUgqzesKmKCKRMoyy4aktVa2hGPTucvLim6+AVihbs+p6YohUTcu2C1zdf5zTo563br9DaWombSsEspx475NPo5Tjzduvkcjce/SukHSaWpCJ2VBNDPNmSikjpycPhSClFOSMqTI4AW3oxjBpp/RxwGnFwXyfdQfjsKYbI5g95nv7eN9hikPlToRUSuEBcqEPmTIYigrUbYWPncRkYiIbu6OJDUwnjhgMbjZn7NdAQhdN7ZygTa3BVS1DGgSPqDITZ/ngUze5++CcTb+haNCu5ix6otJknVA5E7xnMj0gK4cqsGcs3/LcY/zSi568teRxYItmMpuxp/bQWnGczskhQfYUZahUwTUV02bK2dkjaivElsN6Rt00xN5QNYYHZ/cxekKhY+/oEDUqnrr1Ab7hI7+a11/7EtWpZr3aUE33JNY0DqQ8Yknc2y6Io0bbRFaFeVvhdGG1Hll1A3uXLqMHT0SifsoYjq7cIBfPxfE9YoH/6bNvsx0TPgvdZYyBcZTNYo6eVEnEW5Fpm5YYBzrloSgO9q4QlcFZTUieR3ffldhmTJIYcYW+C6SkdxG2iLKK+WzKM48/zp17dzDW8Whxhi0FbE1tDZvVOW8Pa7p1B8bhKktVT1A5MfYbSSfshFnkhDNC1lPK4aMMC+IYv64p+9fz5+uO07STGZWVAoIqaneDyMz3ruD7gSFtyangKidlvGHEaGl/T+oJh4dX+Y9+13/AmAb+/j/4n3h4fkpJUIzkI5P3KFtRKIIqKvIgaZoGvzuUhDhiULSuJpTM4AOurnhy/4jptOK1R/cY+kg9nZP6jpAi1tgdNizJ5aNp8F6yrXU7YTt2WFtROYcft5AUtaoY8gh6pwxWihAkuqGUY95aslYsu0Ey4spgrEOTMbVmUjVM6or3PnkFUypevXuH1Sqgc6TrB97/9DUuOrh/evq1qV0CKl0TYiT5kWJE4KFw5N3lyDQV0Yu4oXKKXEDFgLEVWDHf7TczfvU3fjuH0xl//6f/KafrY5ytmTQVtS2Mg8GnAVVZdKloJ/t03dnXeOCH8ynbzZaYFfPDI/rVEmM0W++JQZT31mqUUWQfiT5ga8dkcoUwdjLRjpGiFMM4sDdpsXVD3w3M2gk+ZfqxBxVQBep6wjB4Yio4XQjJUzUtCoVVlpQSWctLY29vjlYV3Tpw48oN+u2SBxcP2bs0pTV7bDePyCgyms16Q73jSI9Z1vFgSURsZUlxh8RyGmLYRXek6DJtWsZh5LHrj/Hg0T2ht6iMtoaxH4V7biQzH2OibmpIkYwjJjF1SmQBRt8zbRrGhPDU84hWFqIUYrJStJWjj4McCLMQcaraEsMIKLR2pCjL/hBHrFE0ylBczX4z4ZmnLvEbvuVX8C9/+QW++OpbgrEj4dyEHEeaqiXmwhBFgFFXNZPJlHEMbPsLTJHy1NXHnyGsN4xpoB9WjF0vuuu6odaGnALjKDl4EWyMWCMHWAX45EFNsE4xMQZUYAgBlQ2qGHwJWFfEsGg088mcvu/FC2EV89mc9XIlghOlSVgppCcPxZOyrJy1kPS4fDRl0QX8Voq4IUesEpJMjOKzUFZyvilmyg6jCEKTIllMpXnsyiUKhZPTM9IYyFb+/zWa4APaIDbqr/5cS4FipAxZK5yuybHg/UYQtVrL5sA6SAmnNaFEIT7EyGzW0PeBEBKz2mGcYzP0WCO4O2Msrq65WF2QY6aZ7JPigMoy0bKmQruGEDu0Aj8EUvrqdjTTuClFG8awRUkGTTCHWfC5YnwVkZpGE3Zkp5RlPGSdFI/nzSFaSaQuBE/JGbfbUITRgxWkGgWhMpCZmoqYMqPRlJDYn7Ystxs5WNc1mSITZ6WIqqBjFtylF9GaKUUuqVXF4ANEcFYY5FnX7O8d8Q1PP8eXX3mBh+eP2D+4RF233Hv4DvvTKbqybBc9gYgzFWZn6kxklN1F49TuZ1dpSIkDV7PNhj711FXNrG7ZbnumM82v/RXP8ekvv8GDxYYc5KKls6VtHROjmM5qHi5HRt/LMyBrlKsoWUr8h3uHhBAYYkdjG6wxjH4Q1rqW3ojWgvhUrkVnhdOZvhuoqppUlBibs3RXFJr3XL9C6+Du+ZrVekPtQFGzGTqJhapCMoocM5URT0NOAhGYz67wvltPcXx8j+XqAnRmSFpEWCpjCmSVMLoSxrqSDauuDCUqYpTJLqXQtBUTU7Put4xRBnIkwSgWClZXJFMgjFw6usrhpcucHp+SQse2k8/K6DMffPYDnJyf8uj0FGWlGJ5DQmnLQTtnLInF8oyyQ516L5KuFIOgmV0lkbwS2fooWEovz/bZdM62H9BK3rNKiy/ApyjniJwJ44CrWz703Pv59g8+w1dee4Mv3XlI3G5F3OUHTKXZbEfBlGbBWLq6lnhihJgCoHGmAQKzRlFCxfUnnuTi7JSz9QWTxvL49Ru8cfttjNXECCmDqzQ+Jg7bQz7ygffw8PQRb995QN5Nd7MDVQzttGF1scJWWmJQQUl2vHFMKkM3BnIUwlQsgcl0wtNXbtFHxbsPXpezm3EcHV7Fx4Fh3EqhOCsO25qPfvD9jB5uP1iis/QnjjcPCVkTxhHbTiEp9qYT9i9d5fj8GBcjQxoYQkYj39Ptdo3WGlfVxDGhakXx0DSV0P1KxRC3pJxpq32uHF1nsXgopvN6hirQbxZfs4DnXUw35yxDt2zEa6E0ytVCJARAhl4YRWUqrly5TDcEyrClz0Ljato5Y4xstita5xjGgG0m5OxJ3suG2mr2Z1NyLrz3sVu8+NYbjGGgaSc4bWlbTd97+nEgh4DSjr3L11gtF+Q8ElNkNpuhsgze5OorMdRp2zKWiO96+rGXd8m/4s/XczzXX88BHhAoWM44K6jGVBIZTT92xB3NxFqHSsjBVGlQRj7IKbLpL/jJj/80/+ITP8dFtyIiDwuypaoa5vM9qRglxbQy1LrgMFhdYystMoQMRVs2vkfrTFVZQThlRfQKv/EotePDmkJVN8RUSClTNS26OGIoWGW4tnfEE/vXJBWYx13eWeHqhi528uIrcnCb7+0xaSx1XWMd9CFi3YyrV25gTEWKwmR11ZR5PefW4T6WwvHa8/Jb93i0WJBVYBg9Piq+8uYx9+6dkEeZskzaKU1l0TqQ8TStw9qKaXMgL1ojbHPtmh3azzKGKIKgIuv6GEZ86jhbnvLxz3yC59/6Mn3ayKXKNFhb40vFNvQy6Y4R8kjXn+xoEJa2rVmutvgQaZsJORV639ENPUZnJk3NwXQfYib6SApZVkIpE8cBH3u6MIApOJ2ZTmpSgWHVoZNi9CP9sBX5RlDCic2ybaiUQTtNPWkoesfQjwOpjKhkSL1nuFiRNiumjWXdnXJ4aY/LV66zWaw5P3vEN7zvA0ww2LzLsmvFdG+Csw0FRCaRC3GES9MDDvf32JvPwRmMgrayVEroIyEnFqszQaumAZ00vvOoLD8zhZBGdNXQtjOKqmkmM/kMFEWMCeM07WRGRmN0+ZrePaVEM5lj5xXKCtP6iZtPcOXoCrkUOdxHyKFQQiHv1uxCnqioTYV033a/t8Xx1p17LJYXIthRCVuU5Nlrx+HBDfYmR7tYgVw+3nNwnbkBlwqVsVRuzunxbS6WDxnHJSV5nBM+qcqJa48/jrZqx+wuxDSg8IKcVZLtr6xjNqnRBDo/0A+FiT0AY4hKMGMlK2rXMK0achEihZanFdtupJRMTIJz1IjavWlayd8qwcWlGBiT59FyyXa7wedAyGH3oE87+6BFG8vBnnyGGmdwrt5Z+xKmGJyTQ+3J6QWr7UBSYr20ymETFB9lkFDVYqffTYtAJvZGawyOlAo+DCgKlbXyO2AUmrjTpHscmseuP8F8us962zEGuYxNpjMO54dkJVjVkCJjTHT9INQurYmDF1pUSWhtiT6SfSAMkUvtHI2hqStq65jsDq2xBObTObPJjKQUJgvCVBVFXdXkmCkpMIw903ZKKRpDoSoaVyxN1dJUUy7vH1JSlJiX0qQCTz3xfuazyzsUbNiRkkT+1OVApGDJUCLLzRqjZJs3me0LuUP6uThloBhCSBilKCminOLm1UPe/+Q1DqZTpq2lqEIskaIKFxcn/MxnPsmD5QlFFTabM87+P7z92a9laZqfhz3fuNbaw5nixJhzZmXNU3f1oG5SJFsQWwJlEhAFGb7kjf8J39qAAcMwDFswDMgGbAmQLZASaItUizPZZDd7qGYNmZVVOceUEXHijHtawzf64t1VupMLUENxUxeFyqw4Z++1vu99f7/nuXqBtQ3f+to73D5ekvYcZ3QCm8l7R4TKWoRUSPIjZ5Gwng8DSRf5GSiDd4dYO8crze3TA7rGYtFCu0mFWCZijPTTRK2Gw+Ut5s2Sqiy2lUOzM4bjgzmZkT7tAEVIkZvdlilZEpXZvJHhVEzyDhtHUgxCKDOWur/QFJXJppJiAlP49OkFn764ZDOMFAVjKmzCRNWWqgqJvfvBOjFpghTDG8+7r73L66+9y3rakhVYN6PkEd8IzUZV4ffHPFHlaSH5fG0oOdAox6I5wOuGaSycr9eMU5HtZdzHyEogTIExBHSK3Llzyne/+yv8ld/+K3z1a1+jPTghFUeOimoMHz76lMvLMylCouicoTGWHAOXq0tWu7X0GYpmmiJGZTqrsUbvtwiOrj1kjCKEaoxDG807b/wGXXcLo4sAKbLE6Gose/papuSKcR1Vg9WKb37nu7z9la9T0kiqEe0qbbvgK3feYdEsOF3ewfkGlJJuR5Jir9ZK3B01koF+KsQS+PLdN/jGa1+V33/MPH12RsUw9BJZ0kVB1OgMm+GGP/3hezx8/AUpTRij+fWvfpev3X0HimK93YBXQt6LmlwKp0e3+dWvfo/7d98G01JV4rtff5c3Xn2baQz85NEnfHb2GapqGq0pceJqc4HF01SNUQVFZciR7bTjzXe+xV/763+L5e1XeHlzRZgqTmm81qgcmDWV9faaLx59wLS94ejWbebLYzSCwbRGY5sFVSmsVnhv5fzlNcO4YxyFrKeyRB6HcUO/uYK2JWaJRjfeomuh8x3L5RxlrPgeasE5x+27dyV+RpFYTJ7oOhFkKjRGQcqFlxfnrK8v2e4GQqpsY2K1WYunAghhoO0OePDgy/KMcwgC2FmuN2tuVis++ORnlJKxviXnwJh7NtuRISSM8ShtgcLq5goxVWYOujkLf8TR0QPunRzTtJZUK0UrTk7v4JXBeC2Zyj+HP790nEZbg2tavnx6yvVqxYvtjhAzRmWqTihvMFqz24w4Z2mdTCJjLTRNyzAOfPDxh5KtipGaDV13gO8OQG1457XXOf/iivP1hRx4rGKxPOb49DaffPIR865jrIFxHPHeMIwJtX9dfHb1TF6cXStrsygfzJJGaqliIhv6vVwCqjGc3VxwsVlj0JQUyUScb3FKo2zDya0HPL94iHOazWYDVVBp290gvPs4kocNGkU2ilgSvhpePznl9BCeXq64fn7N+mYlF5pWE3IBLVEMpw2qaplGjCNTGHHa0LQtOkV8gWnYocko75imiVQSximhEOApaWLII6/ee0AumbPLK0KNXG8uiJ9HyOAUTGnLrndYbSXeoA5wbaWgGMaBmEfiZZTpi3VUIilN5DhgrMa7Ocu2Yb25ZjesfzH1KxpSBq0t47gl1wmqyB6iEtkCXjNOI51qGKckNj1taH3LkEXJrb2SKIlpKTkI4abzTNuBtm2pSaNUIlvLvF1w59ZtPnnxlGdXV6SYCWHC+cIfvfee8OX3MSoMbMci9IOmxXnFOPU4a/Htku3Vc0IZsV1DHiNjKhgd0UpTdWEYdmJ61RZV5AXz309BJVOuVGW1uUahCbuRmjKHR6ekPNG1c7a7NUpX9H7Sr5VY/LQuxGFCo2naJX/xe3+Nw0XL7/2zv8eTZw9prEOTiAUa12KtYEctlqINWAsFhhD56efP+OCzj9iNkcPlKZ7C5eqaGEZUarhSN4RxI3ES45g1LffvPuB8e03ZbTg8eg1jLM8vP6GkRMjQto0YM7NMFB999imqTLJNyGFPZbKUpLDeowWlwL3TV3jyxadUJiiFKcoEGKMwqhBKxmbH/dP7PLx8JkVCZeS4YDWWTpjh3jL0AeLIvpJJ4+TCo6wh1ypMYSW9CG8FWyadk4otwmrvNz3eO6qKqKHilCX/ghQTIBu5NPY9zjr57KhKVpqE8PhDLjgvtuea4Z033+SNe7d574NPSTHSx4oxmhw1U4xUlaRTkBUaEVnlmHj+8jneyBXQWIcyldWw4fLmCu01GkNMI6pEErA/uaONCIJKLtKFANI4oLRivjzA9RssEKtiTOLIC9NAjYFqKjNvaU3LxW6LUTBMoxgSY6YUQ78vguUYqSYReqi6EsMZlyu5rDirGYLBW4fxrVBzVENKE66RC2brPL7A8aLh6eUVWjlKLaQyUVGcn7+EWmg0mLYhpIxWgrqsVZCQXil++2v3+K237/CP33/JBy9GXlys2W6v6GYOP+vI4ZrdJhNqoUTQSvoPP3r/p8Lb9oqUkcmXnpPkligCF2NRVaZlGAcq7c28EGNlGDbolOnzxBAq/+9/8Mesd6Pg4BSyNShQqiIZw1As680Nzjvc/ABTEwwTtUZCrIwxoauCEolKQAyULbZxVNXhPOS6I4dENYbl/EjQm7rueyZScpQio5yT5fDqMWYiTxVlJEqTcha6l7ciBEwRUwXgEGpAacf55RVPnj2l3+7IppJHsYTWUDDG7RGcipnv8M7RjzucM5QgXSlrLMvlK1ytnxN3l9imI047QbdWhVYOk5X0WnKisTNuH5/y27/1F/mN3/i38f/w9/jiyVNa6xnGHalASRmrQTeaXBWb7YhOGm08sYzio7FWsLZWYyiMIciWJUdMaXjz7a/z0afvM64vKblQKTz54mOyks/6npMjPTxrMFmQz7NuwW5cUVNkDIm+LAnZYVKR73ZIvHZ8m++9+2V2qefTly/ISCyQ4kilYF2W8qvSdPM549ATQqJ6w08+/ZgHd1/B2xkpj/R5kJ9V0YIKtXLprqWQSsV3YozubEfNmvcff0JN4uVougZKZeYWbMIa4x391NNvLrm56YnTIJnw0wdshqci8tMWayCGhDZCUVKxcHR3yVpvWV9kNJqxaD5+csM3f/MtfvMv/Q1++sn7PH30IWONDDlAKehiGcJECJG2mZFy4eLlM44PltzEDN6z3Y0ULc/kEAuLxSGp3zGGAEWDhWKSeDeinGO34waj5sQw4RRcXw8sZ0u+9tVf4f2f/hmN1eSo0LpDAZv1DTEErDJyAjT7tIaSif2UggjFpkDOUHLEKbVnuGeGYUIpQfZOaYVJW377W9/jh59+yHqz4rid0TSeGCOVSqcdzb7/Nk0yCDRGicjTarKCSKI1IrBqdUPrHJv1FSkNjNNOQBXA+eU1Oab9hvTPJ07zS18Fjg6PcKZwdnPF2WZLzlLYy0VewKpqwfmpivaKUpMQH2rZT1G0HPxKpqSEVoFUJobhijQMnD19ibJO1nGpEHJiPax4+vwpSkmeVjtH23UyMbEWlKZ1i1+U6mqqOA2BQNaegEMbEQppb8gaqJqD2RLtDKXZ35DQtG5OZxpKHpnN5xivUMbQ70YxuFZD38va2jUtuUZCmIRdaTK5RmKFz87P+NefPGM9jWxvhM2tQNTJjZMvP4J+O7l1zK9+9UvMGov2rZTmcuS7D0743W+/yaKRyZ/KYJVDK0vOlZwHUplAaQ4O73B1teJqvSIT9plWu5drRUKqoOWAU1SlJrHthZBJYUBXg9IW12mqKaS0FTa6NSxnczyWkjPX/Y5ueYvX3/o2r776JV67ex+jwJoW52YY7+QBqzQlJ2JK9NOIqpnOaYouKJPlQGsM075Q3LULjk5uYUyLdpaYJnQtUqxaLAVxpyuxKko2XPbX/OTxI3lopsCwPWfmLDVlcq6MIchmSBVCyGLHBaY0EmLGGk+KE1+8/JRqCl5ZVClYBa1usMbKhqdWdC78xit3+Zvf+zJd5zlu5vzNr7/NaydLYNxPnRLUwsHhAb5p0c4TQ+TXfuWv8sab3yQlAEfZT8R821FSYbNdE4Nk80xVlJB55613ee3Oqzjj2cWJipNLbylkVWj2n6W33v423/jar2O04vTkPiknpljxzmHQ+NkBvmtYzudYE9kO55L1Nw5rYB23/P6P/yUvbs5RxnK9PePl5WNKSqCUoOlQkr8ng5UiK6YhZ6FCGWGGCSnFVSaEGnW9esxrdw4xuVKVJ6iIs+CQl5RRIiV7ev6MlCMqj6iSSSFBiNQKsUzsxg2VxBB7iskcLpc421HZS7X20pB5dyAHUDLZZoY00WrH6/fv8erBMTVGcgyYVOhsJdQglApTISussbjGk0qCGohEppzRjZeLV4z7KdD+Lt553nntLb797pfxC882jSgrK1wsaCXQQrGZOpSyNM0c23hyCYzTwPHRCUpVYioMcaIqRdfOuHPnFWazJWhxNDjfMGsXzJpO6CQlo/dKcdcKT/+T54+JKdKPIyEmsnGYdoHRDY21tE2Hs0LD8dZiq8Vqx/HBHbxt8Fo46b6dk0oRKY0WiV0uIsxBaaYkP59u1vH2V77O/OA2UU0Yb5CvsmFKkW0IPL1cSZHSQlZZhC/155i5QqyVrETmNG9nzJyjpEzKlfUu8q9/esHHz3refnCbNO3Y7W5AafpNz+ryBQvTcO/2PYyydPM5VSvhc1fDyfEtiXtpi1WKzbACW2k7x3zZol1Bu0rTWtrO4VSDLo5+M0LRKGUJOVJSkefJbmJhZnzt9VfFhVEL80VLN3PEHLnZXFBd5S//zl/nP/zrfwuUlOhLgSnFPU3NoNycbrZgcTSHpmHezKWzVaHEhHL7wn3u+UqjOLKGfpygZFrf0pkOisi7KiOH8xPeefNbgpfMipQFi9s1FhUj2jh0VSifxEZdoJTEs8uPudg9B2vQBUEpKnkHVqP3xdQG1zYUJcjSHBJjSiwPjjk5PuHl5UeQgsgX04TSYLWX4UcV6VOjnQzZqkG5A1a7kadPnsk7saj970yjq7wPSq6UGMhBCv1RyTCn1QZdC95pUJmqYAz7TWUqEo2Zbjh7/CFpHCgqU3XF+YYQr1AkwhAErFodpQrSesqJIU8MQeAMqjg++eQR/4f/5H/PP/vn/4gxJGa+42R5wOVuxb/62Xs8u7qmVCBbWtPhjMJpS437jVyCcZyk51ZB1UIfb/jg8w9IJZBKou1auYxo+ayVfURNW4vSTgajtqMaR1WKvt+wGbekPOIxLPycsURmxwuMN4x54oPHn3A5bSimMtXIH//oPR4+fUKthZIGSgCN0FQa1+Ibw9X1GTUVbN07P1Rmij3/4p/8ff7v/5f/NZ988se4uZPhSIh03QkP7n2FTIdyButAMzHEgacXF0RkQLe0is4aOj8HJd25QpFYYyOvzFwK2Vqx0AJTGdluLsk5Y5Vj7jpeuXuH1dUzbJHfs9YW62QbFMadoEQx4o9SRgZ5SqO9ZzbrJI6sZCiK0nup2P4dhELrSE4Idaid8cbdV3BGmPW79UiaQOk5KRZUqnztjbt86+03ZMM/RTrT0c6XpGpIUWGqxBKTKlxsVjx+8ZTr3RUhjHSmpesclII1llwl0sqfzxn+l5/Ex6EnpsTZ1EumUhsMYr4cS0IHJQcroOQkGvn9SjuEIjg+45HcmCWVQpgCzawj5sLV9gbretqZ4+7BAc/XG1IJjMN6ny/OciO1Zq/0VjTO8dZrr/D8xTNWvcREjPU0xoK2qMbhTCGOO+x+ellqpZiCMZZ+N2CMTOZvn97l4uI5m2mijxNX15cYY5k5R9rfmG4dH2Fcw/n5S4xC1tJFVL1N25BQ3AyBpjvAWUPNPVpb5rMFu9UNuWa09tJUnnekZHjv02cMU+Lo4IQpBpqU+Oard/kr33mDx+crPr7oCaXSNo5YCxVDTYDXGGdomznbfkuqmabrmOpITIqQJrx2WCMr2WZ+wK1bb7JevyQjufvWdPRjj1WOkqXsqlTCa8OuH3BFHnizbsGD+2/xl/6t38K0Hf/0n/wDlgctZzdnlDHJZUBpSBrn3L5oFdGqIU1AFIburD0gMsm6VxdMroybFWGUomHOE91sJhfEIvlLUHhTKbZhsVwQ4xZrvFxXcsR6LxejfoPxjrmbM/Ujx8s5RjWsdwOxjFDVPl8nRsBchen+9t0HfHF9KZeKIhPXMPbkmAha8Z3XD3n7/jH/9CefszhY8vprb/Djm/dFYkahdY5xHNncrClKDkHDpLi4vmAa1nuDaZbjbsnUKZGKmCStUpRauO5v+Mf/+h/y4uIF56sLslLcOr5Pv1sxbHZYn0ihwVlLKIbj22/QdBb7+fu0SuIaISAUmzzQb0ZKgm0cqFQa3+BsSyFgVWXaRILNxFyEQVwmGtdSjf8FB0SyekWQoqWgcqbuBWHUynwxo80ajeNq9ZxqKiUUcgx4ZchKUXTBa08hiQ2zaCkQaxhzoNSM6w6IeiSHjDGePgzUFLHGU6i4xtK6GVOKoAqVxDTKIQAyMU8oXcix0HpPVFDqlt12zp07D6jDirmK/MXX7rBN8N5FT58KKU8MeZILZ1AUFOMUqNpglKbGKDzfClEpsA25JKYY+P6P3uNnn37C1eVW6BlVngGzZk6YpCStqxRcITNOAfZxI2MVq/WaVEQAYl1LniL9bsO0C2QtxtfWe0quxJLQSi7g1gr7vSmVcZR1uzeOlDKJSmc7xn3W1VpZ1xqzoDWF62FF4zWz+YxxjBwtDoh55HB5QB8Gbq62aBSpGJwVbGsthta2GFulFFcV15fn/L3/5r8QAosS1XhMgZoVtUhh9LXFkrPthtXYo5SRKaLRlJRpvJceCJVeFXZxlEnsXjCRFZxtNvy//ugj7t16nc0o0pxQA22tfPsrr3B6eIebdeLy+hprPNULfz7ExMXFJRglL/yiKUjUa5xGjNm/7pRi0cyoKFZD4t033mCKic12x/Xqkqlq1H5bEvKE1hPjEAglYo0hDpGiFI2fy1Y4J26ut9Tcih+ggnFGnue+E7SoUuLKUC22QsyFsd9Ri2T0jRH6U7KOs2FiPUXBDhopxxcy1TriONFax/nNcxIJi2aqgc55FtaBMdyELFCEWuQ7VyPGKSGiuBm/8p3f5NHjn5J3N1xsRjQGbfbWzlrxviGlwqLtuFnvCCHhmo7D+QHTsCJTGOMGUKgCjfXkfdyNKkhjrRRKN+RSefb0E/7hf9fz/dPv8/LlC663L4V8ZcAZGTAlrTAVAVV4i5mQEaO1NDSEqezpN5qmcXJ4M4acAq2xxM0KVRI1V5zWIlrzDu8sOVjplqlCGiUGMTOVVBJaCUksI8OtzaYHLVhdbx1HswM+3/Rchx3NbMZuNzGzBtu0rFYrvGvRpmKdRWmD7xr67Y7WO5QWF8j9N77BfR352cc/ZpqCXLCMAqMJYaRqRa5K4Bgx0zQH9LsbUokiDkPRdg2tbbhz6y6ffvEp1TQymJjP2YwjJY6oIpeDaRpIYZJ8fgk0ujDlxDgNWGdY+BbwWNvhleNyvSKj6cPI4+cfcH75GdvdFd7aPS7UksvA+cVn1CpuhXFMVBSNcQIj8BanNPeOGs52mV2YqKQ9eUZKxCFPjEqEeGmQIW9QSEytCt1nnG4IwMNnPXduvcrJ6R02z7b7Qn+lVNmIxZyZLQ2qTygih8tjZt5ydnVBrBmrJT44jT/3JRgOFjOGfsvPUbuyn8l89vQxD59+JJRAXUBnHty5x8vz5yyWd9hu17z/5II07tgOAaUL690NTW6otaCNQekq3HddUVQoGWskfvrWvRNuHXT84cdPWG+uSHmkZIeoKv/Hs+J/6WLrrJujlcY5SNFgMLJ6U4ZsIYdB2NtO7Vm+sg1uGscYJ7E8GsliKoSb653nq299mY+++EhuoBqcNbzz4BVu+sT1Zk2Ypj2i0hBTxHetlKoKKKNlLVL2BSFr0KZl1i1Z7a5Zth2b9ZXwuDGUlMgls5x3HC1P+OLsjNZ7Qk28fuc2jy9eimq+ZIgR7J5zqh3zruWVu6+wGrasdhP9zUvaRUPJUrZzuqFahcXRzhZ0M89uu2JEMfcH9JstOW2oFfp+S6oJZzqMN6QUJYKfA8vWczLv6HzHw5c3KFuIygg+rGScEVym8zIpHPsJEDECtRJSZH5wirOWeXPC2flDlCq0zYLjk3exNfP0+ie4Asv2DtfDFTXsyBjm3TEPbh+yHQeubm5IVZGjsKffevPr/Lu/8+/zw/d+wJ/+m38lD5+ayaXiraeUPWfbKkqqFKIQQKho5ejali+99TZPXrzgardDp4QuE8ru0YdV0ZhGehdNg2okV+6oNL5j1t2mc5oYJtbDmoPTe8y95uLmgpurDTWNuFYTciZPhYXx5FToq7DdVY64bi6RJAopFlw3k0mr/PAlx1yFlpQpGG04bhzawtmuxxrH4eEdNpsLpkmBqqgaiDnvX/oQMsy6Y1pv2Q0r0hSYzRcUFClGjIIpRrQG7z39uKW1nWwMOk/FkvOWZXeHYb0i6UCthcZoYknkBFY3VJW4d2j4W3/pV/l//rMfscrCyw153GefE82ske9nEC58SCPoyvHtr2DLxPbmGXkvPtHWUIqhxhGjFFmDNp62bdnuriGZX9jpJD+qsbrj7uk9vjiTh3vJGmcdVUkEzCiDUYlaNSppQolkqtiatcIpx6I7Yso7dv2WV04e8PTqOdYo0WSXTNc1aO0pZWDqE7PZDFULUx6oWUyzRYvspvEd0xCxShjWVcNyMec7r9zjP/7aCY8vrvnPfvCSdUwM4wZvjciAmpaiKnEayTEy8zNqiUzsF22A8a2QBmxLP2yZzwxVW3ZjFCOkbeSSmAaM05Qsk+afow2V0TRuBjnJ7zEnullDrVLqXM48ZMt63FCVpfGChlRVokNaKdp2yeHJCS4nHj57Ksz9AndP7nO5ueTN197mxcunXK2u6GaexncsZqfUlDi7+gJHwTVzjFH040Ql41VLRRPiSDdbUoAQNmitGMZA6ztK/TnPWARdyljGMGCMZu5bhmnEVEsqlXbWQpxIJVOKsNeVAWcdIRSW8wWNUti2stmMTFnMtdbKxtFYS+MUQwykZGgbR82VUhMnBwfcO1nw8OySvg8cHcyZtQ2Pnr+gVnlhKq3JBaxzqGpQWja/Sun9xckRx0jjDQUFuuGga/GqISDTuaFfE0uQgUQuHB4d4avmanvFaTvnot+itBFXiYaERhcDCO5QGcgh4Z1mmCbBnlYo+0NajRMZ4adba5hiom28bBBRQi8qEykrqsroorAYKJpiEtY6nFaEULCqJZmIV5m/9e03eLA44H/3B++zU5bjwyMurl+AUixnc4ZdoG06bi2PcHnLX/vuW/zX3/8Zjy9WNE1LNQqtGw4P73B59gjjLWGUeGwq0DkvhekwkWJAe8fR8W3Gcc3YD9RauHVwh6wyNzcXNCi8bWhmDWOKROVpMaiaCCUym7f0251E20rFaPCzDqsUYTcSiiB2c4Ypi3ndWodVEtM1s5aF6/jdX/ky33j1q/zeH73Pv/74j7HGgZLCuCJTk5Zol56Yhi3ed1ijZLBAxXrLGCZ0MXg7RxnDMG5YdA05KGxrmS/nbFYrYiw4V2X7UC0Hx3OenV+glSbl/XBVZQ4XHYfdAS/Pbzg8vcc0bLleX3F8codp6hl3W3JJVK3wpqOqgvdzctpCEfR1UQWjPScnpzx78UQiRVXKjqZruHfyOr/ya/8Wf/CH/4DrFy8Zc5bhjtGCckVACaUGieVZiUsdNI6UFGGasM6J6EsVwWAXw6SEp6+tI/Y7dNNgED6xcnNarwV7O0UKhtfuvsLZ5RmhRBqrsc0SXGXsR+IYUUw0TScuhiLPMl3SvoBb9od4qBq8n6NyYgojs3aGt5bdsMbohoiQuXLsOTpY8KtffZ33PnhCMJqD5haHzZyfPf9IhkPzJbEfiUGAAc52THnAFk3SFVcMxhpi7lHVsZgt2I5r3nhwh8vVhnFMpJi5fXifcVpzM+0A6SNKLKgycx1DGAXrUCvWWLq2Yxy3cm5Fo3TlO6/f5dXlAf/k8zNCGFBGYYFhNzKm+D947v5ljue/PJ2mnTE/uEfbHrDbPZEcXbY4A1OR3KOOGa0rU4goZ5jNb+Fdw/b6OdlodJWHm/wMHInMcXdI0vLQTymilKMxmpwF1F9yQpmKtp6c90pyVWn8gin3ktNTlZCkhCb824TTAvmfpkAukaotBsTGaRR3jm5zdnWG8Z6mu00YbqhKo6LEPnbjZt/Ir/IArUUOIM4LajD0oilHoUrGOYdrWu4/eI2vvPMOtma+OH/B0/MLbi7WlCGQ8o5CxWtLUFXIEDHhrZecsQZrNd41jMNIDBll9jzl2mIaRyRIhKlKWSulgNZQiujO8Y4YCjPbMl+esF4/J8RC3t8Mjw/vUOpEmCLDbkuxYqitpZIqeKOJueJsh0bKH95rrO1ou45xiIRxQ8oRoxWpVJxryWUSl4DVDNsJbbL8vZLw1OezOTlHWnfMen3NlNcYb1FVsmraWlrTkIHFbE62otueGcHqdeYAVSeMUtz0W6JWOC1TPgkJQww9Q93htCFNkousymDbOXHcsmwaopKXbb/dYo1FW2gbx83lDdrLi69frzFOE2LAasuYBQtVYiZlweMpZaWgVyMo+fkprfYvzCNyKkxhQ0mRokCbjm985Ts8f/GUy/U51jpqiZSUaJuWlDIhJxaHhxz7GW++8xab1Q2PHj5lE3c4XcjVApHGNoIyqxNff/AKn35xRXSeznWENLDe3GB9hy6GXAasFURjSoGj40Nmy1PWqxvitCWOAWs82Yo8LPSSo81KkZNkvVOdMNrtP2uGdt6Sx0lIHMoIKvbnroBqUbrh6PiA8+sn+8y7xRoRReVcsFrTdYK7XM5vMaYeXSJjiIzjCHtJiFIGbyGmQiVjtSfFLLlmqykp4ZxBoxhCwDcOgyWHRFSZ+WJJYypz57k/M2xC4PnVwGocRVbnhPbROCexmKrQRfTs1ih825EzeBLdfMY4Tnjfse7XKFMJY6R1fp+Dd1jjUCWgTKFkuZhaV1FFUX2DxpDjQIyFVCJKaZQCrR2d99RcmOIkCLJShM1fNNRM5yzatvRDAJWYYsI3UnotKLrGcTI/YZh6hlTpZnPGacPJ4hZdd8xnT36CIqMqRCXxPKUry9khXTfnendFzoppGnDeQCnknPGuo2ktm+1WJqFF6A1xjGAF8WupGGWZSiGWLPEc49HWMoaerm3opxFXtFzwtKYUIYuUYuS5NkqOde47fu1b3+Xhk6d8/uxzlCSQcVpzdHRKTJHtdo3znlmr6azh6cWKXOUU4J2mGImhqVKgRAqV41tLwpgZRkGCOCuTOMkNN8wXLZvVTtCJKYCJhCAHDKWtZHynSOc02lm8bVltV6ClRF1rhZoxytJ0hr4fRDQYBRpQcsXMD8lhJIQtzlqsNoxTBG3FZG0tMSW8N5SYqLpiXUfNYnfMVJqmoTXguw7XLTn74guqqvi249+5d4qzlf/2kyekqljM56SUyEmGFICU8arGGFg4uBgDKchnsfEtJcP84IRdf8E0DYJkVkJpM66hVEvNEU3FN4pahZGOEmFXxeBU5WC+5GbYkkriYNaCahmyDMdqEUqUMR2qJvqdXBo1muo8B4tDLi5fohGnAsYQgtRsDw6XbDZrEeFR8NbxjVde5RtvvsHHT6/4/ic/IdXCzM24c+8Vzi8/pzrP/cM3Wa8uud6dE1NguThgHLaySTcWVWWz2x3e5s6tV3j06L39e9HQdB5QDMPAz7eUtcizp1aNKlCNolYBXMScOT465rV7r7O62aC84eXLZ+Q47X8HCmUs/TDgXMPrr3+HR89+SM1FYngFSg5oa7HGo4wnTD21ZnSpaKOYHy145fWv8O/9u/8Rf///+7d5/vBTrvsrfOupWf7/KeNQVqOxeCX58ClCN9tjLt2MFHZoBe1sxtDvSFEuDqZEEbOlwN07r/Li8pyQejCWZedlS5k1q+2WO8d3OL96SazS5XC2IebEYnnK/XuvUGPPNGy5ub7gtbu3efTsOdVI52icIkVZNIqDxZI7d9/ixZOPGKeIco6Yd7Lt8QtUHkhkyBZtEq/dO+VqFdkMPTpXMJopjHTzOY1tuN7eUEqmMR6qxliRkA7jiNUSx1Y5Y71Fqco0icwyhLCfsGsa65myxDy9Ep9QlYk07fwWVQe2V5eoosklM/MtMY50XrH0nqFWSjb4qkndnKZdcH7+BGMS/XYg//85ff+5yp609XzjW/8Bv/a9f5//6m//rzi/+IQSsqzgjZRYasl411AbIYOoUmm1ZvSelCuoIuuDbNHG0RlPiAPKKsHO6ZbGt4SwhVopSCSm5Cj/jpKlte8qhYI1VWxaWiI8hkJN0DhHjCNTguXJCavVDSlFtN2vdNuW600v0xrf8errX+bZ0w/YDityntBK0/mWmjOhRjEKNg01ysQ/hlFWIZPo5Z2Toumtw2PeffWUv/Qb3+HevVf4k/d+CH/yZ6QxsxoDGUtVmeOTU6oxXJxfigygJtBVRFIpsQ09Sjm61hJ1IqdKUZqT4wOsgucXV6iSmFLcP2ANWjXMFidMY+D01hHD9oLr6y/QOuFti9aCdbpeX/CN19+hXZ7yycP32A2CycxZTHsVDyVhaqakijGOGANKBaYpsNsGrFJYa2SS1zSUIiWsGBJed7x67w4vLy8pGVrfScSjD5Sq2W3XNI3iYObZbUd001ELzJs5uY4Ybaha1tUnt+4ws3OGvEVNmVlucDUzNpJHrSXQmIb1sKFGmT537pA+9JSaMMYRQkAxksPENksRMueI0x6rFHmMTFXJBMx3xJQZ44TVjlIqMU5o15BjFeOoaVC+4LSncZrVakXTdoRpkgiZMfTTjpwi3rBHH1a0rnz68GfUXGTtGwWLVRO0Bwve+dbXee8nP2AcNsxv3eF/8R/8VXKB//Tv/H94+MnHckmtiohiNrvLweyYR1/8lD/99AWKhFcyGYhJyYW43+3lUIVaK8v5ba6un3N9uWXcRGJOHC+P8POWl5szZt1cSuBqIlUE01gzRQnfFgXKSH52GEcckGrYZ2EttSRm84bYF0TNixxulKGUhLaaKspkUk644mkaT9aFcTdw/2BJyYmRuo+diZE3I9hDXQyiZ6tSqrSKmkXGUkqmak+aRG0+1YS1nn6zo6+RnfX0fcOQE2Po0Wi0c3sUpGY3DVJ+S5IBrjqQUybHIJbFmHAlct1PQsZC7Q89jVzcspKSMxUhOip5TlFJWcqpeZhkU5cKBov1cklCwcHhMd/99q/x8cc/4/r6JSEGYsxoFNZqXn9wm8PFq7x4ecHN9hFGS6xGa49pCioKZeViuyGmwKw9ABrG6Yqrck24fAHGYmnFmK2Fo1xKoWjF+fVLYgpSYDUKFeUAb6zm9Vdf5etf+yb/7e/9N1K6VVaKWVZhXUPOkXk3wyrFsFmjDFinKdVyuLjF3J5wc/kMLeshas6/oITQGEJIdMbQOo9bzkgh8ejsKdl2HBycsNlcoKohKc1Vv0JlIdWUAsNGUMEojzERVSwxRjRaiEnOEAeFcZbVTc+s9ahaWR4dstvtMFozjgNajehN4u6y4yYGxlwYh5HGz+nals12gzGGppHpfpoiMW4kAqEstWaUVYRUSTUQBpkeFyW9qlSSlCmNACBKlsjWOGXQRnCDURC01WjadsZbX3mDTx99LIU926BMwlXHbH7Aan3J6eGMxjdY1Yhwq2T+8PklwzQRYsU1XqalUezTsRaODo4peeK3vvllzq4v+OCzFyjvaTqLo+X+K6/z2cMP2K7Pwch7dCyTWC/bBlKl5iDDrZJouxmqai43G9pmSSqZTKKWwtdf/xLBaN7/6GeMKTOzBl8DfRrRCuxsSQyVHHcoq7ndzTi+dchPH77gRl/jZnNUjoxhoIQRZTSlwnodMaoh5IS3hZwDHz4748dPHu2L6ZX5rKHVmpvrF4RQKGPPVXnJ6a1TVuM5Fs2wW0vfqgrlxVmFN45GB8K0gVJJEZy1bNdbGiOXBtc0vHrQsB4SIVn6cWRuOqacmOIGXAEM682Kn27fo+SMsV62VI0mTeIpsE0l18rB/JSrqwsciVAyWglKW2OoGWKNsuXtWhjFNlpKZboZ+Hz8Gf/F+X/CerVlDOt99LHSeIsxLQ/mcx6vLihUSi0Sp1p2TGNAkbEksvZoJxuYWiPWSyxOKc/dW2/Qecd6e4FKE0YZ5m1LmCb6NIoG2GheXp+hjNnLjLbMukN2ww1TWPPp5ysaYykhc7D0/IXvfJ1i4fPH56QSKLFQtbD8w1iYhsByeQ9vrhhKD9WT8kiadhRTBEWtKjkbXpxv8DOh6OW9D6RqR42JWKUwrbTG+44YpSMYq2DHfw4MyL+I2VasVehGYaJG1UpRMI0TRUsH7Hh+RNcteb66YAqjbFWHCYqVvlSjcXFk1jj++rff4N9++z7/2//uT3k6FY6Oj9iVSuc7TK2kqKjK/OJy/T/mzy99iG+7OU8ffZ9+94L19Ut0dQRVSfsPnKkG7QXD5q1ITYpO/Pq3vsKjZx0fPnxCypnlfEHXzEAdEMcNKW5EJNU6lGoYdqtfILIO5gcM026P3NKScSyClLQqUpQj20LKmYPuhJi2xFqxe4V6VZlpHElJDkwpBFrrKEm03yUXSlrx6MMf4htD6UecVfscM2jl0KVQDaiksEliE0oXXNFgLTmDMa1MXJTh1uEJ3/j6N3jttTd4cfWM9xaWRomsxVhFxvDy5bmsVLT7xZq31spi1mGM4+LmpTDY/AxFxTaG3/mtv4xSiiePH3FqIterHU82IrwySiQT/XBDTYXWHLI4WNBfXoBWpFIgRXR1oOHzZ48J5QnOyupZxYA28v+jnc8Zpx0pT+QspkyjFKoaqBbnNSUPVATR1jj22XWhYrx1/za//r2v8ff+6fe5Xq0IpafxmsZpQh+pvmXRQbdY0veBzjjGOjIkWc83yuLbOa12LJzFWMvi+HWmfsMiTWgVGYNjVgvTsGWaFF3TklQkTZaQImV/kLl1+oCb1Tmr1TkYRVQZUzRKNSgrGcif522xGmMk8qKtZ4oFijC5lTL4RqMynNy6z832kmkKTGlk1i1onSVOo2TjEPSY1ZparJCbVKUiU87vfuMvMoVrHj17hFKVw4M7TENETQqPJgW4urni9//o+9y984BZ1SLK+fmhLQXOL59ys76UrGyeWBwe4e2M7biViSSK1nd0sxmb3QbjLMpMHBwuGMMIJdO1hl/9xjc5XZzyj77/T1jtNjS2ZdbO2Q09JSVm846cFDGMLLqW3QBGKYoy5Dih0GQKuoqRtd/r3lMOXF5Ne+urIU+ZHCut9rL67+aUWIUstLvi3uERSSX6gHCYkU5EzGL+VbqClrIdesJpRSqJppmhUmAbEnNr8Moz1MDB8jZpuyGXTNKaGAs3RQRgWhlCiZAz1VvxO2gt3HKibBWMwpqGEATD2jYt61gRzWtFO4O1nmGcaF1DN5dnTw4J34g9OcVMygG0HA6snTGMK5p2DqUwpiK4Sjnb8q1vf4/V7oaLq2doo+j2l+NSC1c3W652n8NUce0MjSUMKykiayPECRJpn0MdwpqQNlQCsSryPqOcS5JyYJF/dy1FSBpxwlSEvWwcyjVoWwl55PnLMy4u9mI3DNUptJ7xxqvf4uz5Z2zSFUlphmG3F2MpiSCqzDSsmR+e7qfZCus8ORm8VuQoJWrvDCFF6RDtAu/cOeBy85LrIWPI8ncrmnEYsWis85DF7quKyIQwBaLBGUPS8nO3VrJtqogVt2gYBxlM3FxdoKujqErrZyy6BWO/ZhMj1jlMiBjToLRl1nTkHOinCV3h+OQex8tDHj7+AKsyJWkaJ7GfbUY+IxUOZg39OO7LqxpdC/et5byMBP3zzkjGGpnWt+0MY2HsB1IpZJUZwoStmltHt7i6uSTnyG73Em896+2a/uqcqiKahnsnd9jFQM4TXlvZvFon03yrWC6OCDkzDZGnZ2fsJoVrF+iaBOtaRi7On9K1xxgVWQ87lIFm3jL1wuvWjaaOgRIz1Uh0MIzSNQjTQFWF2azl1uEdLvqBKUeGMJCJ6Bw4WB4QS6bEzLBdA56aDEZbLncR7SaJeyk50LZth/MNLk6CZSwFowMhJsFTO0+eJoa9cMla+ayEKRJ0gJLkMFyhH9Y8ejEQQ8QY8bxorTk8WFKB9W6L0ZVpGrm4/kQu0EZhfaGiiaGCE4v4Kw9e426e87OHj5nPFhg0bSr4ZsGul59bikmkPyULFlNrQjakItE7bySmlkOPtoG0Eyvq8uiUyW6ZxlGY6DXKRTFoXDNnmgYO25ZkMxHDdhhomganDnHOCTAhRyBhdIvXjoyhFsEult1IN+9QZs52vaZxDmJhioIVFotwZn78gF//9d/h3be/xB/+2b9g/YN/zDgFhn6g9Y1ACYzD+4YYB+kr1SoI1ilQNRgkUrebehqnuF47/u7v/ynKFol9loo2WgYfMRLVwG5zTbN//jDl/bauikDKNnhvaJRjCoFC4eryAmPd/j0NVmmmNJHjhDUOZzzf+9a3mc0a/viHf4rVjs1uR4qKB3df5enTz/bpEJGgSSm5UovGZnmXNmhyLWzzln4bhWjVajabS1RR6KrQtWB9x2aMHMwXpClzvRlQzQw99qzjwHqz5ur6HKccB4uO1WbFOPb/0x3ih35Fij/l8vKn1BQF4xQL2kmsoxRFDJVSRzDgvSbkwJ/85CfENJFLlGlm67jZXlPLmlIyzmuOD09Y9xtyuSFlwDm0VfRpEKZvLYQxoBUYrSRTbJVA/4vYvu7fusuLywxE5ouOvt9JljJknN6Xbm1L20jBJdRC7As5RiZWjEUyu4hfBKp8IKrW+2JtJNaK8ZbOteQQCDGLWMDLKn2aBp6vNvzJD37Eo2dnfP7oc9bbG7ISxbsmQVY4i8gFaiWXStUalRXjlEAF+WLkjHaaustY16Cz5vr6nIefPWRhYZeiEAmsxWgreeOisQoenj3BVMPBbM4Uk6z4yhblHSlM7FKhcZq7995imibOnj/BdzPKUNitVvi2QVtNCDthZTetZOCTpgrhn5w1qsrBtBYFVQ5COWs+fvSM7U4EJVMOpGBQzjHlgi4DN2uYYuFwuWA79VhtmGphZpY0S8WycxzMD5nbjsF6lr5BzQyLOBJ0YIoN03YgBQdqlJ9jHcB3HLVLbtay9ly0c4btOd5bucC5hlgysVb6EFEpo0zFNQucCaQQyLVgmw6VMo2TJnk/bMlZSfTn+hloJzSkmgkEmSho6JyQZw4Ol2w3272d01JDlsuhUjx98Sk5B1znMNaSa+B6c8704TXWCXc/pco/+/0/Bq9R446aMzllQhkEoacBEo1W7FLFKScvYzUwhYClUnSSNXzJ5BLZbbekLJp0WzMhWR6enfPF2SXbzY5simwQihz2nAFiFlmHcuRSENbxviRXBfdotQYEO0muaONFoKXELZHjhFbiBHAYjrqOl/2aMSvJ4iuRL/mmAXODd14ODBXqlLDaCZzLa0rN1JqoeGJIGAUF+c9OG4aYwBXibkfrFGOuuL2dcFKJgsF1S+ZNJKZCnwKmZlROGNXIZiBnao6UnNFWLpElK05ODjk7G+iaOcet4pXDGR9eK0Ix2H1ut1CIuZBClXWsMhiNvCDywO2DBwxpR2YEVYlZ+P8hVf723/kv2exeSDnfOCygbCVWw2pIuGJI/YZkDPNZx6E7Jmx3zLo5yhp2Y09We49HyNSsxItRwi9KV9UIn3nZHrEbd/jWygbTGBTy7LDagREilUqV7eqGykZMuzHQmQZFoeqW+eKEShbRkdqTU6pCWYmD7OKWSgNFEXPG6Eq1Bq01Y4y4XFEYdM2UFPG6Y7PtCSkQhmnvwQVnHNZb2mZGGMc9OSbTaEsIA2hNThnrJM4mjHUtcjrbUVXi1vKIMASCnTBuzjREUo0ondmFgZQz/VA5UJZSNbNZy2J2h3vHc77x7pf4l3/4B4QYKNPITc6MSazfFQVNy2bYkmshR2jbjpBkU2S82CC986z6gGoMTdswThONbdFUsopUAqUonLOMYcvHH3/IYt6Rehg2a2oNKK3QpZDriELRKy+o6ap4/vIJR0e3ef3+q3zy6FNU1VRVmTUdUxDi11wpcq188uQlh4sT5g7W240QtJSinwba/UERY6lBUKfWdbINUwVjJL5WdWUcB2rKVC1iwpigTJkcAmf9F2w3PbpWYoLsCn0cmWJBlUyJCucHbNNw//YdNts1b37lq1y/9xNiFBJX3bsiTg4PWDQznm+2XG4D1hh8lc6OcwlVKrVaxmGk5ERjPa1vSWEAhdDxaiXnhPFIjLEgiNftjVB6nJMekG3oOkVNhaIN2yHhtcJ3mlo9Ydzxw5885vj4LtprvvXOr3FwdMi/+P2/T4qZg9kxQ+zJKVCKxG+bRUcYJw7nJ+ymgdnBkruLQ145vs9Pn5xxcXmBXyzIe6u1bRuqUvh2QZo25DASU0CZhlgSL7eZxjlS2XJ4uCRONxwd3eHVV17nxz/5IWMYiQkeXo+kBNVUFJm2abB+JujhXFjMWlrnudxshFCnDUpNuNmCTrdEPB998YxPH3/MOArhJ9ZMTROmc3hlefuVL3Nx/ZwXF2dUlVDKcDDvON8MYmKPIlCaEiidud5tSDXhbUdMQl9SRQALpQSu1k/pnOXuwQmblWLMvURVlSWlilJh/9yEEBxay3ZtjBMejdJAlKRAobKce959+20OD074wfvv0TaezW6H0plhWmNUJpZKY1rSNGGaStd0jMMgEs4q25hMEK+CNZRdRhW4dXSLm8tL2TCqyjQEtK4Muxv+zo+v+b1PXjBkIQSaaqkWrC6yyS1JxFR/Dn9+6Uz80cltyjSR44hpJMvcTxlt+QVDe9a0nBzc5uzyBUVXjPbkGGm9GD+9n6GVqNxTitSqmC0W2OplbZaFSz5zCzbTgKoVVSrWG1KpdN4yTJFpymgjGeSyV25764hZyBldI0VLa1uMd+xWN9RSeO3VI/7Sd77M+w9v+OjJM3L5OX5KnJNKifGwqopvrKzUU8Vaw3JxyHKxRM2Pef74Q5R1snLWBl0Vs2bO4eERXVu5d3rIcvmA59df8PSLx2yGROoDIYxisc1SNFHGYp1k40AmAzlN3Du6xc1mQ/UGEqRacaalMZrtuIVcSKpgqsY7T0wy8dPaijRFCR7NuAYQssU0BNESB5k2eiP0hsV8zmZ3w+LghPX6mpoSUl8UKU8uMtkyRrjyjW8pQQ6GTTejlkAt8t9p00AoWC/WXW8NVVeGKWKVpVKEAW9FnmNksAkYjBPKgZnPuXXrlKODI067FtPd4mA+Z9YpDvLARd1xuY5crCauLwZu1hekMTBMG1mBxSilK2vIIVNMxGqoJRGS2r+MlDDsIwyxp/Ot5PmMo9TMYrEkjoEYxj3bX1NrIIeEU4B3aNswc26fNc/EPevY2YZX7tzharVhHAdKVYQspVlrLJU9h95AVYpbiwPOry6oWeOMIyRh7bftjOXRKaTE5fVLqJmYkH9HI8VypT3b3Rrv5IGlEVZ0YxsSkbrPtTtrsBm6+Sm78ZKUMta1dK0X1X0VioDrlvTDhpIDVlmMqsRUaZuWSEKVQqoBrQzOODmApcguitEWpThYzLG1sh4nrNJoROoWYpXJlpXJCj9v9RvLrJuz294QUhYrnnOM2xUxlb1kSH5vFJn2VCMHixxkKnK4OOTQH/Pw6iFWeSpRxDHKyEPYiNo+ZEXTNHhdiDnLVEx1UAa8b9mNPRUjA3e00HyKQmlDVXA883z7lfucqMxrRw3/2XuP2KZCLVKsVVqIJilEtEq0bkmuGUpiMW9w9pRd3LDdXlNyxrXd3rBpUGRikp7J/QevMF+c8tlnPyFOCeta4ar3O1IKOD/j4OAWcbhiHHY43TDVhHZCCzFFTMAhK0By4XrPmUcZjg6OmcYtWYuwrVbHm298jfOXT8gqMux6rJLi1zj1WKPASIzGaUOuGu8XLNol62FFyDtUTThliLminMJrR4yJ2cEpQ3/JAZpNCkQDpExKiqYxFOWpKVGRvG8pBdcaSpZhjdEW7ztS7DHaEvflT1UTVhsy0DjJvKaUQGdKqcyaOSkHTg5vM2srl1fXrPuJYhXHi1Oqbdj1l1g0zlZ0hW0v0/ZUE91szuHhXTQZayzPnz8kFOlsGdtwuDjFNpqzl0+ZN3N2YYNvWlSQLk4IhePDI9660/Li4oaLXZAirK0cn55wfXFNvxvQRnDJRcD2uFkLuWDaFmMg7Hqo4GeesQ9oEgH2UbkGTSamQtNC5+fEmNntRlAJY2DeHsi2tUTGlOWfM0w0eq+say0Oy5QmYsxi9bSaWg0lJygKrMbPZ6RpROd9xt5oZr6jHwex0zoke02mJFDO4ZwjjQNTKWitaLzDmJZxGuQMEAvNrOXLb7/Oy4sbxt1AToEQpQj5rW9+j5eXZ7x8/picErPZbda7a1CZKUw43WCNolZ5/grgSFNKxc+WmFKwxrHtV6gqAq4hjVRg1s2ATI5wengfk3d0XvHwfIX2ihQ1vp1LHMNpZrMlL15+gbcS3a1VYaznK+98h6Zr+PEHf8wUR0xylJoAKVMXjLwnU5R4h6ngDMtuxq9/5W3e//AxZ9cXZOdxVQqpTddQcmbZHPOb75zw6rHjv/6Tj7jaCclG1UIpiqbrxIsSBtrFIbbALkw4b4VitLiFroqDbsn5zWPpZpRMqBms49AfE8eRbZDseNce0OrCEEemkGmbJc57hnFDCBNt65mmkaorxhgOlif86q/9Li8ef8TPPv431CLQ4ZOT2xwfnvL5o8/JtSelQjdfYkoil0qnFM63bMPAkCMmC2koxUwBnIGDdsZqGAghCi3MSTLCaDmTGWsoxUGp0rNBQ53QVshgGs1UMw7H3Tuvggo8efEFVoGxjhinPUUGtLeyndzjtK1raBYH1GlHSVFiTt5hlWGaEoqANZqYNEpVbIUhDrIVRGNqQStIseKMYSqRxXJGDEkMsX7B6fKAL158IReZ/4E/f66Z+DgN1JxlMq0UYPBeU6sSA6jRpJpY7dZkCqVWnIWQK0MucjNOEbRkkssewxWmQB8Hlm5BsWqfH1YYKqEmbjdz3nzrDd579AkxF7zt0HqkKEXex0BUMaQ84Yzn5PiU7eZGyoSqMo47qla0zvEXvvM2/+HvfIObv/8jPntcSJMgDJ13hGlg1sygaoZpx3w2Z5wC0WnIkXvHx3zvq7/Bn3zyOd44qi3oXCVHXgshwk0P2z5zcX6ON2cMeiSlQBgnQggYbXGN5dXjtwnjyKPnnwnyMiVU10LOGOc5WHT0IeIbz816RHm4dfstzp7+jJCCIMH29sioBblklMUoTd43pUvN1DCwnB8wTJKBM8aA0+QayAVyGllvAtZpVutr2VYYg3N2ry8ue0W75OTFzCpZXW093fxAConDjlgzi8Upq5vnhGFCacPpciEvnRBISVB5uWimsGPWNKRa6VxDptC5lraZo0wLJRHzjjr33L3juXPrFvcWHQt6nk4bmucTY9mwHQzNtCaPI411lDhSfCYUSGFH2zRMRaGUImtH4xXTNNL4GRlN1zmSjuQSMO2M0Mvt++b6kplv//tJqtEY1UBVJKXpbEvr7J6BW6m54m2LN55QBj5++ojGt2irUbEKVcBp0hRRSjHkCesNvnq+9uq71Ky4uLxhCAlnFDlllIK33/oSYwgi7wrDXiiiCEOha8S7MJvPySmhc8F4TcgTMWecMvRRfg/TGGjajq9/6Q1+8NFIiddoIutVLxcLDShF3K2Ye89YC411JCqnh0cM/RU4R+oHdAUjUG6UMky1R7cOl438s5SRQ5B3lJgIOeO6lqOZQ6kiGcNSSLpilaLGwCZMZLO/oDiD2eMUQ55YzFreODnmbDNwcXMD1qN0wdpKGgM5Z27WGwadWHQn3L79Jg+fvI+qgonLKcBeIO2sIUw7ijakKpbQsQQ6L72ebt6y201o62j8jGGUvKI1hqlGqio8v3zJpbP8m2cTV/2A0YpSZOpZaiKPRfB6CmKJaF243bYc+pYPN89x2tA1LeMUZepmHBDRuuK8xXrPX/kLv8vpnfv8p/+Pz9FlIJfIuB1JuWCRSeLFxTPmncO2jpAyKldctjjX0scRa8Aq8SXobOVATkRpDaZysDzgertCoThZdBx6z6U2LOcLht1GDkLKobSVHlMqYorOBYhYItfbF4LQbRbEJDEtlByyQ5jo2pbd5py597TKUgxMpZKclsJvquCz6BaKQlloTEdjPUMZcSbSeUOqkTcf3KPvJ643G8YacWZBKiOKQogRqsZ6h9IGQqAX0DPL+ZyTmefl2SVKixxqu9sy6xSuFE4O5nzz3QccHi/4wx9/xNUqoENmmnqm4UYs01PYU0c0xmvi1LO6fkF1FjdzDKMMnI69ZjVNgrizjoN5y//8N97hsy+u+M//8KeEUiAZvnjyDK2NDKFqBeqe/AQmJUAz3KzQxmN0Zt7O2W3EDlprIWskXlpHtIFGW9KYud5dYaxFe9lSN41nO+6YOS/b8r211mtFzkVY/kZRvNrThACqbA1zYcwV6ySOMvU9i27JNG5RqtI0hvncMcYerQ3jWMCB62ZMTOQMR4u7rIcn1JIlPlRkaFV1ogxC8slx4mcffQyIufy1Bw/4/MkjUprYrG/o2jlFiytkGFaQAqiCtxrftkAhDEkumlowvkpp4rhh5ucMKZJqltJoTXhtmVIkJXHXdI3HzhpKPzFM477gmjHWMg1rGt+h2yVHJ69wfnXG8ckRYRrZbFaMoeenP/0zigLfiFBtSgFjoBQBaRhr6HdbGmukK1IKYz9iass/+eMfUHAY7bAlY0ompMR2NWLbhptySTIdd26dYL2nbidSSLReZITOaYZhQNvKONxw2HR4K8hX6wyVgWksZCfP681uIxtSrVA5s0nX1BJonUErTWML2z7KJtZ5ieTti8zWeCjQOk2phrdun9CnyE9+8of02x1dKxAR7xu+/Su/ye/8hX+P/+v/7f/EevuCMQQq4o8JOXO8nDPEgRijkOOUQmc5+OaYyVWz6QeMF7oZQM2VptWoXMBJDJkc0FXjvWE7iLel1Z6YR6zvZABjNZerC8Zx8wsgRc4R9sNOhZKekJLLn9k/7zSaaZqINZG1xmeoqlDSiHGGWJAoaS77M6tFZ8n211xw2pGdfM+MsoRJnovWtrTasVpvxcnx5/Dnlz7EUzJFQ9Mu0T+36xnDMATJSddCVZYhbnHdDO1bxs1KyDJVlOIpicDEe6FxxDDup9GKSqKAfHlHI0zfFNlOI588fITWliGOaDLLeUvTePpppHNLxhC52VzRzWYkErHIy/1g3jLsJqx3zDpDConf+1fv84OffUyMSeglaMI0oXRlnIR2Y4xjsx7JBIz1HM7npDTy/mfvsd5e89qdI0Kq3HvnlJwyz2+uWfcDJU1MqVLCjqu6pfEdUOWQpWQ9OE0D4zgQghRFVJWsqNZGLGTW8Oj5CzKGcUqS/a0dm/UlkPBOBDCpiBrbNw2pJGLO+zKaZdnNWE09pUT6OJCqbBPGYSCXgPcOtMY0GoXFOENNPaUYvBLqRzvrqKVAjsQqH0pvgQo5F27fe40UJ65vrqBI3r/fnaFNRZeGVCMvri/FJqgbEeeoQte1zJOinXs2wwCNpSkyMfREZgVOzQHH3nKvbXj1GL70pSPeuv8mrkbaF8/ZjGccrjNrP7DzLaYbyEPAW8M4WZzLFK3l4qk1Qyko7Sk1oapsO6KCEntKUbSNYAyrC6gq8S2lLbPZnHEawTkxyeZKRlGLks9y2xLHQUgpuWLbjjBFtCpyEEn7l0ItxFG4/co4vFaEaSBSee/hJ0xh5OjklJubK7pZw7Dpqbnyk/d/SMmZPCWMbSQ8XaUIVIH799/k5cVztuElyoLCsWxEIU5VNEaRU2DRtVQqXzx/TC2Jbj7HK8kmp5gZq2LRLlBaCy5QOw67Q9bjlpvVJcYqpl0v+eI9YqvUTCjyILKqkFEoXWmqIU8987lliwIrl+0xJ9T+G5dAaEI5CbJQWw67Bf20JY47piR5T11h0XT8z373e/zJTz7nj38wkq2gD+MkK9mqkny2CLj5Ea++/jrPzj6k3w4Y6/HO0y2OSLsNuzAK7SSB8p75/ITd5lJIF0kRU6TRlqIiYXeD1lCVsHydgplyPB8zoRcetXbN/nssU+haLKa15CTEmVSk7HoVJi5zQOVCP0z4Zi8gIUk/Rykimvm8QbWaf/Cv/hknbcehmzNiWG9XNN7QaS0RtZjQyhBjpWkXUG7wjWMYpTyrGyOYzSjRljH0iCbDUYpcpEKRTLrCMfU9P/vkx6imo+oOrUBbxTbIRN4bLVGlIgp241uODg7Y9Vu22w2N0xitaJsOZRxTSaxX16hphFzYUdhVKf9aHEvfsZt6ME5IyUbJCzxDrZl+3MhE3jiGkOlmLa5p2a16tLEcOM9unMRAjSKrTEyJmgoGJQc5LFXBZ198yiPVYGxDzhPKG1IeWfcTM6u4vfT8R3/123zlnVfRGD5/vuP8ZuKzz3/GercGBUXJZoOE6OJrpdhE5zzb9Q6lhUxy00u0L6WCMYnd5oIffjbnps9EJaU8mzO1CP5UaYNFKFfaFg4XC3ZTYrfZYowDVbBKsxt31OpwVrj/Kcl3eLftqbXwxivv4nzHJ09+gnGGk/mccbNil6RjXmtgN0Wss/veRKFaRZkSOslQrVYp+WntGPuRtplhVKWSibHgm4Z7d+/x8uUzhn4kp8rFSuzdShm0A6UKhoqpRSzFeZTyd1UMUcASU5iooaC0wvm95Knsh4Fp5OL8WugqwMXLc6bcY5XCzY64WV+iHaQgPPQSB4E6GMs0Dcw68X+EnJl3La+/+So//fgzNAq0B72PR2hDjgmtLZuwox+fMu8WhDQyMuCUo7WeUuIeRdnz8Wd/Rg6R7VoujjK3VdSayAWmoDDA4eKA1jouNyu8gjEn2UjnQjby3PTOMI47lKo4U8lZkXMiG0GsqlrpOs9hd8QfvP+UP/rxE9Z9QHtL4xvCMGKbls16R8lqnxmvrHOgKIdrLNM0obJgK7+4ekqpBbNH79paCbEIRnM2Z2Ydf/N7r/Lu3UP+j//wh1wODt/NWK9X1DKB8rJViQPL5gDfGL58esjLfotfWL6/GqjV0rQeoxSPPv2Mf5r/EdvdDUMfOT4+5uX5S6BiVcMX6y2N8eSihNhVMlgleNi0f55rzcHxksuXgaZbkkugpIxWjt/+9rf58MlTLm9ecn9xyvJowSePHxHiPiLnxU3itCWmgVQnIW35hhyE1KcBbSTr7rSRjYtRjCHSWcvYXzCRMEpj0YQQkK1mZe49ocgWOfRbphzAVBoMDo2b3WLb70h7r4TNhZSkKNtYQwobsrYYIzHM/8kO8cY6csy0tiOELVMMaFVRVYqlvmnRSm5BYRqZaQs5UYEQEovGg5XsbE4SXREgvxSBtnGD1Y5cNGnc0HQO5y3DEOi3GecdVldSHFlfJ2xjKLGy1YNITaj02xvSKmO1wyjNMAaU0VAK2z7xj//4IxSGm3FHzVoiP/syllWglWcMERAO7Mx23Do+5N03bvOtdx6wmTS//37PzHj+8je/xluv3CWnwAeff8EPP/6M7Sby/PwFSids8ZQETWNR1TKkgRArGsUX5w8FlaflC+uaGUe3j7k6e0HKkVw1iiKrFqWpeWDsi6zebWUKPblUrIEyBpRycpjZHwyq0ZSY0VSmMuEbi06KWBK+M6gk2MpU5GcVJ2ER5yISLdc2lFKosofFGktjPXEcQYE1ldXVM8aYKSlIrrk4IHMym3GTevkilCKfsCSc6K9+8xt4a3n44U84Pmy5WN0wFujQqFbjouS9d6lwWGa0teXUzXn95IBXX7mPwTJiOHu+4qZRXNvESlX6lEhxwxDloqhUZWYa7OEBN7sbjDHEMZJ0pZu3pJAxFYyTKYjzhmHMON9iMOgsWLshBgrQmoaUe2qjoGjqNIHx5CnKC6LKFHkMG6Y44RvPkERqoVHUUnFtQ8oTKkaMMjTOUYtlt77G+IaUNhgHY+ipFpJKqJpIecA6xBqqQBtHCYkxJ569eIQySiABQRF9JVaRfNSUOV3OmZJhO4hp+IuXL6nasys9rhreunvKZlCk3RpFwSnDKvSgEhebCeeF+Z6zhixCE9c4pinivDT4wyiZqKyBlEjhir/w5iv8x7/5Zf7P//xHPLzcog2EKeC0/CzMrCWO4RcZRmsNxYgDwFvPGCe0yjhjOV+v+M//m99nN2YyUpp1TlOyp13MGcZrpimiKAwvnvIHF+ewl7kpKqUqcpUyp65CeWqsRdkObSw1i1xpqnLB8EaTUmU2a7G6onIlhoyfN/zlr77Fs5s1P3pxyWoa9nhIi9JVyD5FM45SZG5Msy+zBQYs1ILFMJ8v8c2czfZGIj8GlNrTSsYBPRkGnnAFzGYzYkpMaGxWqCiCLGs7EZiUxGJ+yjisybXijCanCFmTjBd8WYhymdjHwqxyHHXHTGXkervC1MSgFNY5mTi/fMF83tKHijXyXcoavHeULJlYauZm9ZI4yQR5ioEMjFPCmYkpJaqyFG3QCmKWz7zVBm8Mcz9jTJVQAikm4bkrhbbSK/JaDmapyLQ01MrnX5whU2KNwmH0RJoCt44PiTnR94I4lSL8iby0p57Xb5/w6DpRrMUnh9KQlEjawjSxHgOPztYYd8kQHJeXF5xfXtA5zfzkkN0wYoeeqhr0Ysl2cyn2x2oYQs/x6QEqV7bbCVXhnVeO2e0mXm4mbqLinz9eEW56coI3XnudaS+kyimgS6GYwuH8CMYdd47u8Pzskm3dcbBouX+04PPzC3QxIhw0RjpQ3hEGOcDnknhy9jmLxSleW2I/8q3XTvjOt77Of/WjxzzdGVIaMdagtSGlCYxFlcqsa0kkGuMYUhRcr9Y432BbTxwTuti9iVjz+acfYWrl7t032W4u2aYkzw1vCEEcJrtxRGmNNZrd9BJdNGMYhfQVthQ0zjRMcSJHKcqDQjeWlIt4SyoYYyQiWSohiZTNWkfJIygBVYADUzmeH7BeV9IgeFpKZTsE3v/8U3nOY34R+SxyPtz7Xyrkynx5wFtvfIWPP/gz2nZOCZnAiG07oZEpOD24zXV8wr07b2GM42ihyVg+/eQDNtsbUo2kognra+bz2b4j1xOLHBob46R7YBwWTeMqGSlRTnFkPpsRctz/PDTTLjCpiTFWwe7qisoZXYV/X0sRf44yeCBZRaiyJcuTZM21blHK/QLb3TrFEBJKSxzZ2wZtLctuzumy5XDu0dngTIPOBpM1VSlKzfTDls5bpqy5e3KPP3hyhq6R5Q5CyJQQMMbgLDz54hMePv1Ifncxs765wZRMoZCM9P+mLCCQ8nOTvVaQ5bLYNJ44Za7ObyhV0Q87jFJ4pQg58vj5U3ScuNUuGPKOZ48u0ElswQ+O7nF6dIsPnn5MM2vIOxFWoiFMIxZHLZXZ4hiNYbW+Ilk5p5as0a5ycjLj8moHGUJJOGtYzA/ZbbZgEm++/hpnLy84X62pSjL0MQ2oBmKYoAqCkxTlElyLdLu0IuUs2/s9wvfP488vfYifYsJY2A7XgMJ6SwyRGApWW1SsGJ9RtiHXQg2jTChSwhmNaz1TH3DWkIsckksWDFBNsnaiQq1S9kpBYa2Sm0utoOUQe3Ryi343iq2tSN7KOyN/kyKTjZoT2lspItUiGTI8N2NPrnutfAWNxjgra0qlCCmitaZxIrnpFi2/+tX7/C//xm9xdNDxd/7xByxtw6uv3ePdN074xmuHKFWoRDbbNT/cPIEKUyi0JJSOvHX3FZ6vrmVS7JFCpRXTmdCvK3kaOX92hirScFeu4lVltRGLZaGQqghRcircu3WAtR1ZN/TbnnGQh107bwkxsRl7tAaNp7UFm4VLjxcOtvC6A9oYYgk0WmFaS4zAfpnUaM+mX9G2HYvOc7g85Pz8khil8d8oByYwRHk5aJ1BKS5WWzIFbzxGNRgKsQT8rOFwseR6dUVfE+tnLySyYltiHpnPF5wub/PGnXtc9RMbPeemLlhxRE/DUDIZGKYNLl5yEC65l7YivlCg0PTa4Hyh5sTJ0THOd1yvrgkxYIyWFVytNI2mJMV8tiAiNkeFxRmPV5Zu0eFmMzb9DbtxZNxeozyoqiBWstKSLd0EOdTnhFIJlQslZ+I04mcLahiFFW40NVYUM/xMiE5MBaMjoShuLxZcXl5RlRy2F4fHWNNyMD+mX2/oxw1j3tB2c3a73f6yVpimnta33FrOmGJhigMpQklCYlltIs4YwhQxxshUuRZs1WQ0D89vmHVLQs4MmzVzZ0T9XpSIk6YJaiWViLEeZzWv3z/m44dnTH3GtR7rskw2rKOqiooFZzSr7YQ2FqcUIWS81rINyojZdUoEK1zlmiNhWFM19JO8mKoytO2M+6evcXb5CKM7Tm8f8ua9N/nBT/+UWDNGVW7fvsOrR6f8m5++TyKRa0RlTaVy1MzY9Tty35NrwnmPaQxhN1LHHSkMezGWiAZKqWSjadslYRiZSmTWNlQ0ebJ8uIbXD4+wLy5QCpzT6FzpFqeE/d+BkDG2cnhkuLqYOFzekdL5uOWN2/c4u75ms7kiCe0Us59CFwpaOw6Pb5NCz3Z7Q98PUBLOtULPmeRSn0uVImQtvLz4HK8NeQwUI7hZqwvoQtO0gi1UW2rKvPvgDk/PVhzMD4hljqmavkzUNBLLhFKKKUVKsszmB9QEw3aFUfsV/d6brpRnOVsyqi3D1BOTZO7RELOstVXdf1+0prENrgpmvk+B3bBCOZjCxK2jO4zjhu3Y4xQoJHOvFDSuIZFJcYKi0WT6UZB9XWtJtUonq8qkUxuDsiJrarzmb/zqW/zaWw/43/zdf81VvyUSMUnM3bcPbnOzXrHaJv7O3/sTTOPYZcu4y2ymnsYu8HbJetrxxqtfwruWT59+IobvZNFYCpVvvv06nz96xoYe7yyLtmUIlRgHlkdHkKxsNIxmGDNjCJQ0QpVYArWw3l1jM2jn0F6jrKaxjsXsgBLOsUZTVCbHRJ8CGs2tu6dcXV+Txko2gdXqCnJh6T3feO2Uf+d7X+JfPrzg86sVOUdM4yhVooWpFGpVxDTinWYXJolqGUPNgVghDzJRj6mgrMVp2OWEcw2XV8+oVKwTc2opBe0NORascyLRUpmTwyUvzq/E5OqMTPrRpCJM/6YR/KbRFa1hmJL04PYegSkoTJFndlBRBH3eYk0WkVrUZDVxna9FAqQ1ripa6yRzP03katAalNNYw/7gJAd9VMV3LSlu+OzTP2OatlStKLmiTYtFY5Sh323IqRBj5rNHP6FpGh786l/EGs3RfM52d4GqcjDDKkIJLNslKCeY2mRplgc4B7teLMaNMQxxIkwBb71s6mOlOJFQ1VK4WJ3TWI+1UobOOVJKxTaaOE10Xp5NpSQ635BLQCkRW6U0kWum312ijUa7InFN35KLpYRxL/QrXO+2/Jd/8jkzZ7iaBlK1uNywPLpNGkeGtKVzLYpMKSNfPH/KmCKlZC5WO9pZQx8KumjIipgjJUqkTBtFTgJFsMYRa5TvUBER3snxbXJJrNYrKrBYdpwcHnP24oX4Xvb4rhBGcrtAAS+vek7nBxg7gVPc9AOqdbhQ2I475r3Ef+MUJaanLbYKCz6mEWUd82aBduKxqEiHrqhM03S8uOphks8lxohh11bmS89uU7i+6NkOEncmZYlhaciTYnFwwLjqkZh2wzTtqPuYc92fD5SB46NDzs96/jyO8b/0Id4Z9iXKvWEqKwyW6hTYIjdlPefk1ilnL58TpoFCQmmLMpohZ1njFUWuhUV3LHEH5TBaMcYgKColU9tbR3e5uj5jypGCpjWWfhpYr3vR76aMMZrWeKyGohxYkSflKmgnoxW1Qi5KVteqYnRD01pimKS5nSsgbNeDgyXbjUxN5rMZJ4sZX3r1NtVUfvb4JZ8+OSONiTwGao4cLzXWeo4OZhwfzrh//xaXN2tSSiRlOOqWfPTZ5yhjKUqTc6JxlmIUoSa09dQ4/KK8p4zhjVfe4u7tEx5+/gnjFGnbhn6MeKXRNZJJXG8HFss5w27L0F/K/95YYpFpbZwmlKos54e8cv8NPvj8JxzPOvqQmCZ5iFgsTjmxs7UOtV+DVmspYyKFkYWbU4BpSqSZZIKLgiFlYkgorKybSTSuZd603NDT4Ihl4Hi2pA+BZAr9OPAn3/8j4Z1bsFrkVbVEdNtScuHu4RG/8dVf4R/82Y9YbwoXh5XHm4mDx48o/YZoDnh8dcnjEHlhK5sGYKBxhVkzI+0mmkZzs93x5OIco4V3Xoqh1Mq8W6CU6LvbznF0tODmZkD5BeCwHo66Q3xnMAW2psH6TA2AquSq6VpNKjOmPmIbQxoj1hpizTjnsTmhtUaVREmVivjDvW351V//K3z80Q+5uvoCo40YGo3i5eWl9CyIzNqWEAYKldP7r7AqCu9nXK8T737pXXIY+PFPP8Jbi6sNvplh1EjuJ1IU9rdXFWU81VRM10EYSbVSY8Bbh7bCyPfGsutvcLbidOE7r97mvZfX+Cp4PddB3PUSxzKKjOZiXQHLYuHIaf9S0LAdttQKDZ4fX4784B/9G3Y5Y1TB+JbGedmUlYwyRrKxNeMsxJChFGGvm8qdW/cYQ+Bys2J8/pRKwukdXVzS+nZfcA2olBlXGx4PIyllvLaAYsoBaxVDHEQHryEFmd5prcnWUmJk5hu070gxUjUc336dw8UJOg1cnD/nZrNimBLfe+MOr98+5J/+9FNu2jnt7IADM+NqdYFvWn77N3+Xi8uX/Omf/kOhtBhDSGB8Q06JFEdqzkwkDk9usXvxDHIA44XfHCPVil20ZtjsRilc6UqsGa8SqkDbNIzTgFJZXoQYqqrcWt7h5uqCESXYugqmKpGWoIhhwmCIEUzj+PjZhzjXctjOMNWRdSGFFTmD1Z4wJKbhAtfMiapIYboWIKO1dGn6DVQdwCl5bmTpe6Q9wcsZzTROzGdHgMaEiV0UgZ3zEtVT1eKVJSqHcUZkfGTapSeHzBhE1qappJQ5OD5gu9sRCuQwYVLh5mZHLMKLz1ku8GBJq55/9bMvOLsZ6XMlpoiqWg6kqiHFwi5OgCFuCgfxhFW4hqywZs6sXbDeXOA6z7PrlyKMQbCH005y70ZbPvjwM6aYmXIk7hJ/9rPHVKswreP45AE1VXAvoRouXz6nWIPRLbmKj8QoQ06Jog0fPnzIFEactux2PT/8+DOh35Qok2er6bQhxszF1YVgW61jSgXvC6oODLXl7/7oMX/08VM+eLGWyw2WOEoPzWolPQ4K2lixaKaM126/NQRlLXfvvsH58ydoBVXLZ8kbi21mpNyTcoIRqjXkaUJ5TamSI1Zag9K8PN+gqsKoBkUml72ZU1WOT5as1ltSAesKNgcpf5aKVRVjPKlCTAHvHLVIXKVkkWIdH54Qs+Ll1QtMgpgDCkU0YFXZY0yRLb0VQdI0Ray1pH1PSVVFnAJJKahqj3NQVKNRKpKmRHIVpRMp7XCNJqVInhLXq4d89vQL2F9+ciosmjl4Tb9ec9VfYywyDMkjY79lchpVC117wCv3HvDo6ceQhY4SY/4F3cUYTds1xEkGoQqLdk4us7WQJyGcPLh3yuV2R9podtNIKRnjLF5rocVpg6Iy94b54pDn52eUEim54rwMV3brEW8VsZ3x4dWKqYI3Cj1r+e7Xf4PVesWPP/lTvF1Inn+6JFX20qUJ71vGsafkxIBAOKrWYMA0Iq9KZSKkSGcacpDznfctymrmBydM/QrvZIg6jj0vhh3WtqALFk2qFW9nLGYHhDTRekNfdlxfXZOyZPyNy1QF637LerfGWUecBqaY9thzy9HhnOtVZQoTZ9dPJKOuDagMqdLohs60lLEQ5SqKopDSyLAr8qwm8+ziDN15lLLs+p55ZwkhA5Z+s6Ui/RNdFa5pGfqBmgaqrixnR6iaWV9e/rlN4n9pOk3TtlhrMU6xV8gQp0jNciPPUW6U3rZAYhwG3n7nTV595Q6PX7zk6fOX6AIpJJIS2so0rtHKAKD/f7z9V6+tW36fiT0jvmGGtdZea+cT6lROJIsUJVIixWYTDcktWYYD0DBgGIYv/T38EXyhC8NAuxtqN7plW2YrMbQkslkki2SFU1Unh533yjO+aURfjFl12VCjBW6ggHMKZy/sPddc8x3j///9nsdYMok0eaQ0VFXL6HfFWBoLxu5nmChZRq8YXWGUYuwLxo5KF9PgQUZCBqVKJCDHEiFRuljKYiq2NyHL1C54XyQAQiOkwgjB/btLfvGrj5i1M242iYuLPavumi8+vsuvfvsL/Mo33kQLzSevNvzw/ac8PV/xww8/JLhAdXTCcX3EzeWzUtxdtnTbHiUyyjaM40htFCJnrDX0g0NZg6lafvNv/QZ35hV/+G//HZu+597pI+7fecQPPvqzA5GjxBCkOtAoVIW0mWmcSmt6CiDKSrptLM5NfOebX2O/3/Hhk6eEJBHBo6zFp4BEMtMVu3GH0oaUoakqTu+8yeBGtuvnKMCFojOPQuKnkXZ+RAoj3nsQqhhUBUW+wMRCGcYEymhyViUTWtiBKCGRuib4hDUWaQ1zu+T45B57F5ndOeHx6REPH7U8uiN5aJbsWHI1jqw2F6xuL1hvNlyvtmTv2a23ZDSuC+zHLcpUVNYyjiuiDyhZIaRlSj05C46Ol9x/8IDri4njO3e5c/qAq9tL0jhxLAZczqy8Z3IdIY703R4rNbKuydEwkyNKGS43a2RdQUwkF/DeEVOirUqc4fHDYzY3I1PWfPvbv87nn/6Q9e0lQmckhpAzMY7M6jludCQp8MmjhKauJY2Z471gN95y5/iYWgteXa1QRhIdpBTKAUgAGI6O75Jdj7ZLdrsrXC7r5+hB5EjKpQMQXaTSAmktLkQIkbaSbA5UmUS5bFda41KiUjD5XB6mMh4a/UX4VTc1w64nyYTOGlPN8W5kcgNaCZSuC3kgBpQqmEGRJcSAtZrJeUwlMWJOToFf+8Y3+eDlEy7W60LEiRJtM2CKhOxn9smsC5JTZubzOXNt2HYD625bpoRkyApJKChaJUEW0Ya1Nf/Jb/4SVht2T15w6zw3qeXy5oZ+f1vwmCQqrfjC0QKjJc+2YzkwGYESijF58J7Z7C6THxinLTlLrK0K0UlUhXETPDF6pDHM6gVuGogIUgok7zG2RmiIPrCszkgysutv0UoQRMLqCnzA1JrdbkQpeWDZLwuFRBa6QhKHQ7ybaGdnLBu4vLkp3oNxBG2oZXkf9G5ECktTtbg8FXqTDwfGexkqGGlRMjMGVxCUUpByoqlqvHNIIxh9QCGL+VRJUhJIBLbW9P1Azupg0i4blyRKjj84R2NrunIbIMtiXjY60zYzJhfJITPlgNUVkwsgCvFDV5Z0mLTNmpbJDfjpsH0wEqFq/DQhlaVRCaUVX1/Mebbd87rvyyFDCqSQSCHRokKpTDM7pttcU1cCHzKRgFFlKzT5SEgeYuZkcYckBNvdbUEdR6jtDO8dUxjQskT1pNB4H4o1NWt0ikhb/CAhuRL9qVoG7xiGHqFMQTimQojxo0dpiSHjcpmgz4wlilKmF0qSE+WCIsWBJlVATloWmZBOsojQCPgUqG1F8r5YaIUm+oksM/W8PJOCL98XkTUyeYYQyybxcODJUjH6iepwSMqlRIRQ6iAMCqSckNrQKoUj4PuxbFhISBRHs2NsO2O1vcK5EZGhrmucm0hZYqsil0spUSmNNJppjCgl8M4znzc8eviAn3z0UXF5CFHoN6YiS0GIvgyylEJIxayu2HcdKRVqm1aSLECpgqlUQhRRHxWkiM9DuYgkUSJqQjBvi5SwH3pIiqbSdM6To6epC4WmGKwz0Tu0nuNzYVyJgxU25UAWgtYuiJMjBIcQGakMIUMS7mAwB2UKQEAJi1GawRV8cDOzxLFsP5VUCAXRJYQpRmxjq2LgJdFUxZwaYzwwezNVVTMMIylCpSqq2nD/eM5pu+DHL54XAlOW1PURv/Y3fxtTN/zxd3+f5Hq0qPBuj6hbctwzaxb0U0/XjTTWcPfoPq+vXyBMiQfuhz3tbE50Ah9HjpenuG6HtJrHD77J1fVzer9DxBE3eap2xnJxl8vLZ2SgNs2BiOZLR0ZrYs4cmQV3z+7z5PIJmMK/R5RPbB0VMkt8SnjvETIglUHbGULB1BXCkk8BqQ/vaTKkkgg5PrtPiKnQ0WLEHIhSiUL30lYCmbZtGaeCMEdmAoEcMm1jS8xtymWwkMp512dPXbc07Sl+3OIHxzANpWT7P/LrP6yxFYFImtCP5fAoFEYoVKMIIZSGtdGkPOF8RFcNv/Ct7/Dr37rPux8+53cvNuz6DTlLstBkOdK2FucjIcKXv/AV7t19yF/8+R+xXNxltbskpsKAVSh89FRa0tQ1k/eF6pIz/TiWW1dw6GxpqjkubRiCQ0uDkRXDtC9FXNOwOLnDdhMQLhZaQRAEUQpo8WCGXdRLTk7usGwlP326ZZpe4YYJI2oW84btduRHHz9l340cH93hejNwvfcMQwIcMTqS65gtWtpHb/Hpiyf0e1cO8ErhvUOS8c7z8PSUs7tnPHn2gnGaMGrkp+/+gLtnd3h87wRxk2nbI7Q9ptEzgpkO2ucizXh0ckZVNXx+8ZKmrYnjRF1VGNMyDDuiK6zWH7z/QUGXKUPMJf8thSCJQFO1xXJYQJsYyvr86vxzsq7xSTOlkmv1MaAqXUohqRCLSIKYPEfHSypVs91eMybDmEEZS3AjtamIwiO0xbtEyIkKEKIm4LGmYef3DDceUy+RrqIbFa8v10y7mn0eWZsdnYf9ODFMlm4HPoz0XWAQkjiODOO+FEbCwG7saeryAJMqE7PHoJG2TGJvViuMXZApoqKj2R30MnIa99wwkWNis1fsV6rk3qaBY3OG14mb2xtmtioY0v1AFIk4Tiip0VoilGRhGu6f3mGuHZ9cvOSvfvBvadoFQUV00NTLIzKZoU+cLRdchRVDKBM+ZYvpdL29LbEUZdhttuxyQh26KFprfFQQM0lD3Wj68YboPG57czgUlWlMZSoc5XIgouSb3/wFXr9+wXq3pWkaJtExBkhZYg4H65gzUxln/bxrYCtZLIgukVNEaOi7HcJHpFKYVjEO+59/+MSsMEYV8lIWhxJqUZNLKQihcJGlTDg/EqbAn/zoL9HWFv5zisyqhqxKvjqnASkMOQv2/Vg+m0Rmv9ux9Y6kymU/+UBVl0KkG3r6qafKDZVSVI1iN4w8f3XBm4/us44T637Py9vXhHxg9yqJCALVLvj4coPWRVlfxEgtLo9UbY0bPdv1a6IELUxBUyaJOkiwYiw5ba01fprYxFuMag4EolAewjmSpxIRmPJIcCX7LnOLkYmYI8pIpK6QYioGUNFw/423ub55yn63QRtdsq5SIlUmxZ7rmx5Jye1UlaauLZv1GqUKdSYL2Pc7pAGFRukKERyNbckh4mIiC4kQJUMtCtqiFMUzBB8xuiK6crgOMSGkKiZYKBGbXIrNQpWfiRAcaeiwxpIEoMt7QIYyq1lWlq+980W8nvHphz9m2BcMncjF1musYezKhV1KgfNlCKGUwceecXTYOlHXM1xw7ILkRMCvvXHGsw83RS6TIOUyvU8i49MeHzXInofHFf/Zb3+Tf/KH77MeJvzkcTi0qQlDARRs9nsEJUOukoHKUjdHfOXBQ3740+8zOY9GYCuBPHzmi1CmwTmWyWQWkH3Gacfke6xVkC3zOye4bk3f98VFITURyCFQVRaXE2FyWHuIyRmDBHzKJcZoJDkKQlKQEk5GkJF51TIOHWEc0UpTz1pSlKgcccHj+4kUM5Wuic4ztxJtFVEl3nn4Drv9js04lDhsdoicyFIyr2uoNN2uJwtB0ywJ2VHbln63w8UBZQ3Bi4PnRSNJrLbXpOTIWbKczdHSMIaISJlw8DQYqYFE74YifsvFlD0Mjk8/f0pbN8gIkxsRwDQNNLbCh0REs2yWZDKVEnhbk3KgtobtdiCKDLG4EWJOzIyhmyYqLTE0qMYwuAklBHHyRdikKQORnNh1I1IqaiPIvmx6HVMRLwrJ3Qdvseu2hHFbxENW4X0ZjGgdySGxrCu2bsJPE1kohNZlQJkixPIzFnMRPtVVXXo3rlyWXYykWERQtmlQ0uL9iIiHbWNyOK+pbcuQ94TD/6+yxGhL0iVa1LnI55c9z/MNSSWaakFjjljvr3l+fs6d5YKltVx3W7z0IA1v3nuDFAYuzp8SRCKGSDpEFYUqg9pJFAeEzorJbxFK0k1bBJ7Qez7+9PtYC83siG7vCTisylzfviolYGCkQ2ZJEAXjm0LZyq3zhu3rntoY6rbi5noH2TE/ndP1haDIGJD68PtixoehEHCsIE8JoSTWaAilM6WriiA9d5dHbIaO/a4UbIWQZQiVD1uRVLZY436CGDk9vQcILraXGFOi4smXTtbgHDoXSEh0lBLvOOKHAaUKjvI/xK9/70n8crakmd/h9vYVbTWjtoZ+GgqVhkyMqbxJtCw5zJB5+OARf+Obb/Dk5RUffPyMGCZcymRj0FJQG0vX96SQ+fY3v8P9B2/x3T/7A7SscKkv2XZlmKYOo9vCARagsiq8VFGMYDF7JGXSe/feYzSem/UtUKa9Smb8NBBCRFUWwgTSoHMkCkkkYk1VCCSm5QtvfJmvfuXXuHO85PPnn/Dp5++xXr3GSMuX33qb1fYKYy132zknx/eIquJifcvFxXNubl5jVMvoA5VKTD4VBmtjCC7j4kQ0EhUKzeOomqFtQx8cBokLA6fLI8KQaGzFi90lMWnu33uAEolnL18itUJkj5SChV0QcmDbbVFWQxRkWVaXVTsjuoh3e1AahSSngJSK5WwGqcg+sjxEpWJGiQRJ0jYGKWqWy7ucX5U1r8hFSy+qUmZuVIN3U0F/KoMUkm/df4u3H9/j99/9McOwxVQNIU5omZlCIT1oqbCmYO9SSEyJQgGan+D6iaquODk5QTc1s6XmOEasmrNjwRgC0fUM0ZO9o99dEUUihczVzRX6wNsWsiCtWlUxZZCi+AQCgqa2SK0RxnA8P+LOyRmz+RvMmyNmjWCR9mzjju0Y+fzFNdvtiuA6hjCUTc/gSuN9LPx3iAhRlahZ9qgMdWVASaboSmwph8KvlQohEslFbNOUKbQofOAsE5Vp8cFz586COHo2+xEXRoy15HjAeyqN1CV76EM+lF4TVd3w5qM3cf3I5fU1MkZQ5aETyWVyIw1SKNrFnON2wTTt2G02BAQP7n+RcRq5vv6sKL9jwFQVX/vaL/H5R+/TDT1CC7IvJCkhDVoLVC6aa6U1VdUydXukNogM1eyIfrgl54yIJe9ZLjkVMQZqWw4bUWamwVNR7JpZC7x3VFXL2fyE7XTD6CUiDvyff+0bWKn4x3/8PsKUz8KxK9IwcSiviQxSCKTRyFwmbWfzBW8dnzIsj/j8+TNcv8UYTYqeLCBiiNFTq5qQHG4aS6EzBKq2QQaDjxM5ZaKiIFh9Ljx8owodqmpoTRkq7AePUgnnI7VSpAPTW1BoUREgC4wp750YApVRZSqoNErWSF2KeH2/R2aB1RqhNW6IWFs2h84X/0RK5eEngbqt8S6SUiQTqLUtIqrgMUoz+oA99CQqUxC7pTgvaeczpmkk+oCPB2SmhKpqmS/vMfmJfnWBjwEhSymVWJ4DSpaDoNYG1dTcrG7KBNDUpdgdMvnA089IyA4lJN4FZidn+KkvsQ3TsNpeImXC6oJIxBfsYSajdIlhZkCLgg00ShdOPL64RyaHqCUqSWoBLkicCphUssBQkH8ly9wgU+JOW/HgyPDR5ZYplq2FCIKoTellxQmEQmXQRuFSCftXxiJCeR/HWFj1kvK6qIP8TEZVsMoHYc69kzv8zi//An/w/R8yjolumg70MUUUipvVNVqVB31OGV1p0ujxWWBrRfIwq1tiGso6XyW00ISQSNJC9CglyEZzNLvLZnVNYiAGqCpbtqvZk4LCWFNkZdOIEYJf/uo7OB94/9lrjuZnbMYNOQVa29L1PcYYktLMm4Zh7BhdQAvB17/4S1xcveRmc1kirxKwCjeFci44uF/unD5g1a0Jw1iinEKUabJPaKsZ+g59iP1lIUDDTFQ8vH/G8/OXdKOjOl7id93BDlqcEuHgIJBK0tQVQmisDAzRHSa2kjRFjFVEyqF22dR86azhJ0/XTBJS8ihrSPFwkMuyeDCyIIQSbZKqAhzksu3LJEII1LVlbo5xOfHWW9/k1fnnhDgU+l4qaMx5Y/j2UcvbJy3/7Y+fMbqICyBsxfHxHW6vXyEtpCmVLUcCbRtELhZfoQxSxRJ/04K6mtE2c66urg4xmQkJZKnLEEdLvM/YDNbUZKXoh7EwzJmwGqwsDP921jKNnsX8hNXqphzcfaJqjgjTjq7fcOfkEUIbUtjSasPF9Q2msYyuLz1HH0hCYJTlZLYo5VElsY0muABJ/XwCLXLZ8kDpTAkCIWSykNS1JOSEdxNaKITU5SznEk01w8eBe0cLLtYbIHF8cpd7d+/x4uIVw35ApsQUXBlMqQNNqNKoNDF4QQqp2My1BB8O78OWbGA5a1GyYrNbk4InpkKFU0oyV4ZxLFhkY1pa3RJkYujW2Lqi74eC5UVgcyZJRZIakSPGWsZ+AGB0xVr7P/brP+gkXgtJ3224e+ceMks635OgcEcp6JyYIYREIHG0aFj3O37vT34IFOV9WZFFVLb4ydFWlqY1uHHi82fv8enTD4g5EP1IjlA1trCno6Vpl0z7DT5MZAVCGdpqwTj1pJAQQqCBcdgho8dWinH0EPZEqYnBY40hhBGZAOFpmorRJ4jFWEgqje27pw/57d/+B3z167/I7/3B/5uLy9cMw4Zh8Hz8+ilny2NuVxu6LrLyBqkM+801u/0KITTL+RHG7+j3AyFTDK/BoWxFHh32gD+DyE23Q+4Hggy0tuLLb73B0dEJ3//he8ykQwtBIBDcnvPVTdG4G8U4DghpuFxfoq0tivZpom6POD054uL8orS/UymaSfmz6e2S06NTrlbPyiQ0ZxSGKThCBI0owqEUSIz0Y090oWAkrUVET5MrfBIkLYkxE33A5YBRFee7W96O97HAVx+/wdPVmrVXuBholy37rkNXlka1tM2MTbdBRoeV4KaO1khccKx3N6jQMDiFFoJJOQbZY41gvdkyTpHUD8BE2zRFJuUn6oXF9wGXJEZqTNUysxXDsKFzI7P2mCwFTd0graWZaeZLy6P7Mx7ceZOzZQN5xevdBnU50o8WcmC1zZgIbtgy1y29G/HGElSZSsvQY40BYQgp8vjOHb7xxhH/9sdP2flASgFrG+6ePmK1PadtDN3YoWTGRVe6GUmwc1tyTlxeFtRjzgIhyuEopDLJjsIzDFOZnAJSBlCS4COvX72irVuUFFhrGaexICejoG0rxt6RZaLbr3BjX1a/EkJwPD//DBEFweeyrTEWK2rWm1sSnsoYYnZgCkvXaosxgpRrQt+TYrHcHt9/xGp7QxwH+t0aLTUuObQ1zFVLGCdqW+GCYQw9RinkIYYxP7oLasZ6/xwlBYv2iE2/pR8HpNBIlfn0Yk1bl9U1qib4wtAXqqxSY84kWeIGPhVj83JW8x9/9R3+1jsP+b//6V8Ruw4pYsEFJqibpijFpSCnkUppUm1ISVHNW2LoCQTE4aAoAJklSUZcEuiYEULi9ntkNS89ESXQpgKZGNxAJSVWF+a1Qh9K9yV+lmKibhoMxWQbUyYxoIMiSUHBvEAOGa00xkZSHAlJkXOksho/FdKOrRv63pFzQMty8Gjnx7TtjKevnuNjuSxU0jLFEZ8kSZRsrza6xBG8KxHEBEmU6AmqDEV815FlRKMOl2VRAAHJ8c6DMy5XW6Y4kHcT1hqiLxEG7wO2bUkhY2yDlOKA90xEHQnDSPATSWYYHDqXzlHKgTt3lmxuN4WqYmsih6KjKZSxR6cn7KaR3X5CG0WIESEF83aJsTP6/TUhevAZM2vQSrLbTRhj8GGkVpaURm72PVf7Up5VuoU4Ym3mO++8zYcvXnCdIst5gzA142bH2eIMLRQXty8IPlDXLXVVszies7q9Ybk4Y7fdFFmObnFhQCqFrCr6aeIvP3rBdhRFPiMgxJFdX14XJSQCUYZPShFDkSpCKhEKYdj2e6qicCbETEylSC/xCCOxorhXVreX/GyopZWAFJjihBAaow05ZkJ2KKORSF5fb7nd7DECNt0NWUuMUWy7LSEJslIYP9GPI1kltCql5M3ukmkasdKQrEbain7cAD+LaRWW+3635vjoLou3jnjy0bsgBME7jLbkXLZ6zaIlTBOVLHGmUUX6bl0sgVox7ToqCp5RK1lkVpVBqkyIiX50SBxeCnxK1FqSAVGbkneOGa0MY468d3HDJAQhHzpNOSNT6QuIQ7ZcKknbtOXZGz2B0iWqasPeg9JzknBkk1DB8OT5x4TYEd2IlDVWwlvHx2QJF1HyhTuPODnZcb3umB/POVrco2obttsrYsq0TcXgRlKaCNIzm50wbleQAz5khCwebCMioVuxmFWIA1Y45fLnzQJqZXFTj5EgTcS5yLKtSUozdRMxlW3RMHpGd4lUlrfuf5mr2xcM256maqmtJegal0ZudzcFJYpgJzJt25CkQEuNqmak7Bi7iRgD63FDNorkI8kFUszF2HuQECZJyaUjSxQQSVvXID3Rl01vWVtBJoK2LJc1CoMfBKttoNE1+2nATyPf+NI7dN3A/nYNUmF0XZ4HKWGbGX7qicogdUQIRV1VpPKHIMcJWSuOjhactC3d4CGHMuBMkdO7Z/hxYLu6xRGptcG5AataUixhsRgyKoERCqk1kogToA/nyzAF2qYhi0gIDp/+5+fi/70P8dmW5noWqXDJ/Vgym6EY7Q7qzQMwX9FtO3zqSna9amjqOdM4UilHmMoPynazBVlIBOMUQAq+/pXvcGd5zA9/+Od0fY8UA2AYx1v+3ne+CMLxhz9+QZKirLa1YqZbxmE4fJ0BvKd0LjVCyGKZFYIYJqSpSs4+C+r2iH69gzyAsOh6RhQaF2GKkt0Q8aMnDz1VDPRTT6bG6UT0CacnhuGW682OFBw5JOKBB3r/0SNur1Z0o+f+8Zs8e/kutZGYqiVOAxmBzEV73rblYehc5OnrK+TFFWMcGNYdjSl519ubS6RWmEoRprE81LPAaIVRtohUxh7vJ66vDm1556iNJiZLTpkHDx+zW+3Z9GvIZS0qlWDRnhBJ7LtVWRFKUditypA1ZVJFKebaypCVYDFf0vVbjC5TiaqyzHTLxXbL7/3gr/AEtr0lB4GViiwrhs5jRcVMGf4Xf/dv84V33uaf/LN/weXVa1QeGUeHWcxJAbrdyEwWFvZtgkGMBGo0gSlFtKyYQqIPEe82jGGELHBDKESfmJhVc/7+b/42r1bn/OT9d5npmiwjrbbUCU6aOQtd83A2451HM775jTd588HbbPtbwgdPuLp9xVHTsVVzNtmR8o4gA05mjuZHDM7RtDUXtyuSkKhK48YBkSRBwavdjrFEdTHa0NQ1m+6SECPrseDWYoRKaQIeocrBM0aBrVp0pZimERkNISXqakYgQHLUxpIy2Kolp4Zu6lA6kvLAphsgZmLWcCh4WSHY7/pib1WScRxxPqClRSTN45MFTTPn8mbFqGq6acJnzzQG9k93WK15eOeIq9sVSSnClLh39wQlBN5FKinZuIHTOydUpmKzvaWe1ay2IzkZfEqQHfVM44Vgcj3ejaXg2DTUqsHLgNSSiIdDtE3ZBdkFjBmYnEephj/46EUpXzEjeE8FRKPJCaIoB12hZImd+UjUhYLx4maHH2G9Kluso7bmN375q5xfb/jeT5+grKKpZhwdzVldr2mVQM7soVNhEabkXpeLBevVbTk4yYyUqmQjlShlOQbms5Y379/j8rZjXG2oTFMe5lqiVEGo5cOqXKSCh02hMPslZS0tC5sBKUsJGQQig/M9s7ZicKVArUXN6D1GW5QbqXRdIi15xE8DCsFqfctqs8JISRJFrjT4Dh8jujKkKAlKEn089JJKhldLSTxQY/pdx9h/ijKCkCAHjzYSeXAwKBL32ppxTLy6XZGkopEGLSPeT5yeHDOFzH7qkMkWSllMxJRICmIcySSatmGcOkRWhCkSMlycb5CyTLR7PxwuMorRBSSZt99oeP/lttDOVPnvjNEkB32/KhAGEVFSls7A0R1+8Re+w4efvEsORfjm3ISqJDJpQgyIsEMhePz4Lvfmc36KpJ0tSTEhQsfSloiQEgqtG4z0CFEEMGFwCC/5wv0z1KO7fPD5S8LBeDs4T4PAofjs1TMiJbsOmawyPjpy4DCFLx6REDw5CRpToaQnjoGYYyHZGMtvfufr/OTJcy6u1jgfUFKV/piRpa+k5OFiowtpihIfISuyj7hUsuy6VkQyL29vkbn8c6VLYb53icpWxGE45L5lGe6lhHcRLRKvzp8xO76HIKJVIogijtKpoP60FZwc32EYOobdFXHalQ0xJY4WY8JUJa8+DT05pfJ9UxYfJ15tpzLtjRGZJF5pAsUsLYQkulBIdzGRk8eaiqgEVVaMIWKkQmGJaeSkrXh0egfnJU9vLrh7esr55StErXF+QgtoZy27fYeWkuAzpLKJyyKhkBhZegmV0KQcixxRGN5461t8+Mn3kThqCx5HyjUvVh1Rehotef4AfAIXRx7MZ8yqkSevXx6QuBFbzRBywdAPBdgRfeHjI5hpy6JVrLqJdT9iDxeM6D0iQpaK6D1RGVJ2HB/NuKckm3FkO/jSkdhPCCVpdIOuDY0q2MzgIx+9/x46lC1xForjozcYpz1dP7CsT7jtL8ghUhtD7wYgI5JA14JsWlLOxNFjVMJNEWME+WAiV8WER59GRDqU2SvBw3tv4pzj+mZN30/kGEsnRJjStUgC5zNx2mOrmqNFxWq7hqBpmwU+B37vj/4d0+QQWpXOQQRTVQQROWsNX378Rf7NZ08wQjFbnLHrLlBaoYQiZ0scBtL8DN2c0K3O0aol+SKeOpot0LMFY9+Rg6O2FUPw7PsNtS42cqmKG6WaL/GjY3DlgiRlok8BKS21ELz56CGfuuds9t1f3yF+2c7p3Z7ddkUxVZQIRJQJHzxG2Z+jxVIqcQaly7+rLHh87zHPXjxhcgWyn4glKxcyIpfbtDpIdXKOTMEjlQFtD+Uvyfy4ph8hJQip5OJJBU+VczqokNXhhlrefLa2mDEWYk3OICyTH1BC4SIs2hlZ1tw5OWUcPZNLXN0+5/f/1X/OfHmfq9Vzurhl1XcHy2yLrhaMm3NETITRM4y7A3qtKKDPL16x3c+4c/eMzbZjP96iqgYX90QvyBju3rmPUpHz2wtcSiVqIDP90NPMjzg+ucO071EilRwpRXuOBO+K/nvKEdNo2mrGbP6I7eolu3FDTAGtK1wo2LVS4jEM/UiIjm23Zb44ZhoTtTbs+9tDdiwgrcBoQfAKzaG4ETRSFIJHFoa7R3O+9PCIi7Xhxa0j+YSWCp9TiRWkSAyRF+OGGAuv1sWJIBMCxTgGPvzkM0L2B3pHKS0iFMkpvJzQjcZPA7U0TESitoQ0YpRATo6N3xUrrfT0Q9EtmwP1x0pL1AqP4I9/+BdImXGjo9KGrEt0JdaWSStmYkElZpyoJQ/v3eXs8Rss/B3WmzWbZ8/54HIC02Dw+BBppcU7x3qaOFvUvHO25Pb2Ep9B5rK+NU3Fs4srrm7bUuZSRXM9DjuyzGTRcHLnbVari0K9IZFFJriMrjUygUixFAZTOhT/Mi4MkMtDKEtPqwRZC8ZxADw5FcxaTMU4l0IAqYupNyTmizm//Ivf5rt/9QNiLEvMlCbm8xl/7zd/GaMX/On3n/LTpz89mJAlUhQr8qLR/I2vvcGfvqfZDCOIjiAD73zpHXYvB6JKbJ9+xKeff44RgkgiKlVUqUqUSV0M9EMpFjeNBjQxJEQqVAmlNI2ZuF5fFgKN0Mxnc1wccFkgQiE0KS1KTyaNxMkzaywuUUpismTkSRFV13ghaUyJIv3g9RUpvcQawRgG7jd3OLm75HY3YJTleDnnm2cPufIjq5QY4kQtMt0wMlOWKRYWcicEMSWqWU0ei7DNi1gmRUphjGHbT7z/2XOs1Lz1zlsIVfH04w+QRHBl3ZyiRyuoK0vZ9GeQqpS9lcZNGWFK5yEHX3Cl1iLQxFiisyorFjPDuhuJ0pQVulkSoqMbRuBQ4qtqonMkypQRAUkptDScnt1ldXOJlAVBmmI5cCkhyUpAEoXaETMpOxQS7zJWqYO926OlptUtR7Mls11AKIEUka6fkBJm2vCl0wd8eP66FMymHmtrYsqFDgFkJYlkOtdhhWLZ1tz2O2yWOJ8ORJtIZRXHsyOOThZ88OkzhFb84JOnhQNlq0M8UqJlhVUgKsOwH1FJYCpDmhyb62umPpDjSK1FGf4IeUDNSmbzGavbDj3TnG82vLy6IQnJ/dMHXFxeMk4TUVbk3YrB7dGyKvZuISCB7z2Lk1NurlZobbhz8oBtt2XcrVBZMI6O5dEdcu6YxoEgE0oKRAwIpVBVRmVJShpjLEIrbNXi+w3ex3Kw9+X1yDkwbPYcVRXy9JQXF9fEWMqUEcgyYyV4PyFdee9OuaO2LTGJA/ZPIykF+Rg9RDBWYmQk57LVlCqSpoDVliQEQ3JMyrJY3ieM+/L1U2R0HUJFpq4j54LuNRKc90wusBs7QpxwLtJIyezsDv3uFuGBmHAukqEIJmPpT5mUEYIDWazEOGWQIHL58zWWRVNzpC3Pri8RWWB0MTG7g2Oj4BghRIcUgbePjvm1N+/yLz8+5+t3T+m841ordFRMaGKIB6KNwgfKa5P1wW7rqY1hiIUGV9m29AZlxKfAp0/+EkHplYxTRppMDB0donwvjOS//96fsjg6gmzIkyOpnnEYIJW+4eP7R3zx7Iw//N4OFSNjV9CFWlVko1jtR7Sx5CTRVYXzhdgltaa1DVYkJIaoBa6b+DRGYijemJg8WhlkFmQtaVvL+mbN6ANgMTqWMrKExlpw1wgf0VIwum25dGYIURCEoJElEuOGHj+U/kdMkCOgVLl06VL4Ts4jJehUfg85o6TkN/7md9isdvz+d/+s4HeNom1nLO2SyXesuj0perxPRDkxrSeULFtLH12Z7ktFZSr20xaZJW3bMEwDQmTOdxu2fQfSI01FyANGKebVjMaWgv+iXnK13XN5fYOu5gxDTyKjUuTjTz5CaEOlLY1VbIfi5BAqEIVA6wqlFCkZRMj86i/9Kp8/e8Lrmwu+/rVvcXN1w8X1Fd008fzlBcPk/mcf4P8nHeJv1xsKEV8ShUeZitFPCCmQukFKS2sg+IDzQzmox0yIGaUy59evmfxY1M4yIhI450tuVSpCLpjKTz97j0/5WfxDgbTIqkwv/s0PP8fHjDSWOEwlj5wKY1lIfWB1F6Wu0rYUVWMmNTOyL/ZAPxUE0GLRcKetaU3FZbfl5OyMn773HnFKxDDx3v4GKxtSCKz2N8TkMKZiv9uU1VSWDNPAODpmyxPqJNhMA14UWdQwjDx78QyrG3bbFSknYoAUPZHE9eY1IiUEsdj5MPhD6z/6ATc6pLQshOH+suXT9S1ozTB4pFQoUmmce8vp/bsYbRl0g6QDElKKwna1NYKawQVW6xuMlDTaklxECkmMU7HPmZLra6vCU5Wm5mtvv8PLly8ZppHdMNGaOZW1/J1vfYl/9Nvf5g//4lP++N1z6qrm+ctXNCozWYVIgraVDN1IpmKaPLXNpDGSlKCn5weffsB7n36E1IKkBEkmvJ8Y0khWihxkKZGFkbYVbLods/kpThtSKsKZKQw0TUN0jhBCORR4zzhOKG3wbku3jzSm4mtnZyxt5mkf2XggJTbrgdlpyy4t2LJglzJLF+gGx9jfYNIti7BlPt6wD459TggBInkqbbjajVzvn+NjEZENfemIaO0RFBSclIkoBTqpYpUkYm2i322LjjxFWiWIpkIpycP7j7m8OSeFHjdBbS37vsfqChEzyiQqPWc/dIw54fodVSWxdZmm+tGVbooqyEKhBL/+rV/ADjs+XA989MkzUvQH/0BGyzLZ/B9+8DG9G3l9sQbpC3tfCVyWKGvY9CP/9gefc3TygFXfc3Z6wjQ6fvDjn+C7SMiFAuImd4jZlbK4TMWMSJRIWxWDc4jkDAhVlJJkprHnaNHwv/8Hf5t/9cff5yefv+Zk8Yjzlx8zusLhlWSiKMKoLFP5e1jDkCIupFKcJbG4c5dx6EgiFNdYmEiKIhYRBh+KfOvWJ/4/f/B9+q58UFuduWs9MkbOKxj7IkRTsrxHs5AkKRjGPc3Msmgaboc9jhGMhBhxaSKOB2yf1hyfnPLGyQlPrs5xKaJIGKWZKc3JfMnL7S2dm/jy4piJyI0LBSOXAnVVEbQku4jRFm0rZm2LEBCdJ2lP9IluclTGohD0QjJ1K6xumFRE1hVh8rjBFYKHrUl+xIWEEIm2MmyvLhGkEmuRpQAXvC+FXCGx7SFCIItRtUQ2iryElDk9vced+TEpJf7q2UtWu4mjozt0XUe2kugDXZh4cXlO8MWtMJu3SKHp40TT1EyTo2qWpLFHyogUhVY2mx+RB8/8eMZuv6PRCj+M3K5WrPcjtbEcnZyy2W6xyaNli4sdwzDR1LbYq7fX+JRZzudsuk2JdApLDI4cy6FVJkpPJkV0W7Hbj2AVbz8849Hde/zJX7wLQnL9+gKyJ4ZEn0ueu7YVIWfqymDmS4YQOapPaJuK2G9Z7QaslUgqXEwIpam04OzePXbXLxnGPadHZ9SV4eLqkspoKl3RjY4kNTEFGmVQWdOnEpPzUymxkmGYJv70w894+OiMo3nLzb5iv+9KpIumRO8UJVdMhDwhKZdoJQKqrjCmZhgLJcfUFUKUz44UCoghB8+sbciCMsE/XI6DUBBHvvSFr/DeJ++VC3YUHM1OuR0jSWjunT1iv93g9pc/j+vJLJFKoJLF9YU0JIUuG2qqEm2QEBKAIuVSSFYioyRkpWlnM6apJ44jeXLIqubtB29zu+0Zph2z5ogMTGFNFgIrMlLNSvGdxHtXGz68fJdE4j/91S/ywi259oLV7rYU9LtCI5JCoIWiNrIgMHURmXkf0VpgZEYeENYxSqb9msZowoHMFmIpAiMyVWNQ2lAJjXeRm+tLlDGcbyW2L5s5lVShoTjJUtUFj50PF5EEIWRUMCAFQhqWizmb7RVGFZBE3RxzsrxDN+3w2x1pzGXIECfOzo7w3YALgin6wjDvey7HAaaIEBmhMn4SnD64y3h1C0xcb17jXSpZ8ByZL5cMuz3WatzoQSpccIRYzMAxShSiXDRFObzPbKGUDcNETB6ry8VXGkXvAv/63/wRvSuRukpp2rqhGwc6OTCNU8FvGk1VCbwb8CRSFNRNXVxFEtarW5TSZKERInL/fsv5lWN0ARfTYcCYqWoNIqGMQovEb31hQTM75v/7/c+IUdJf35SIjbQcn91j6m+JsXQ3pFSU4lViZhX1rKVzPc57lM/4kFieLtht9qANlZWsry64vr0meIeWmsnnQzzur/EQH8KIEpqAoNJNWVOJwwrONFRGs93cFn1wAnv4fUoJQnLsukgIHrJEyCK5UJJi5oseqUsTeBwdCIm2BUolp4LASmQu1rsD8UD93HjV2JoS3QxoU5NCxlaqPOTChJOKnBWTK0ZDYww6B1rTcn65IgvHFCa2ux3TNKBEhZvGUhQKA4mJKURAkIM70Fb68nCvKxrd0vd7uiBJ0mOkYMQTDx84w7glIMlComxBLYowEl0paEljiS6h5VTW6ySmcV+6BjGxVYp98bhDjlRKMRVeXsGjkRj2a26nG/b7W8gRKdShHNLT72+pqxkgeePRFzl//QytNVIp4jQSDpbWLCVKZFKYSvZYJ7pui08RlyJ1W3P/dMFmN/HJyxXvf37L4HMhDiiBMZmjeYvykuAD6+2OppoxpSLvMEoSDnpxNwIBgih4qHbeHg57Ep+KTU8oWLaWqR/pXGGT729XhBiZ24pKKKbo2G1DkVUpg1KZRyd32e87hnHg0YM7fPOLb/LmyZKvBsd3zmr+uw9e8//65LZsKUxm4weqceBie8sH773L7tUVN0Hx8nzPyyFznke8HJg1kRgN/ZhxpmYSmugjiIDOkoTnztGccUq4EEkEkorUymJiRkiDSLm8nn7PkEBJecjPnrDdrIkiEIXkzUdf5POnH+CmgI0KoiRNibat2Y97/LguXoAQSKmUJU2lKYNgi5LlAywdfk7W3cRCGm7Xl2WrkzNClc3VGB3ZVjx7tULVgigDIolCvJEZmUG5hIuJ7X5N33dkY5kfHVNheP7ic1x0kAWaUDCOAmJw+CDIKEz22EozBo8IGWKJo8VDFv5oVtGngGpa/vs/f5erbTHIxrDl3ukbPH35MUpprJ0zdKvys6EUIsUDyUByND9mHEakSFSNxE0e5yLKNjg3lkI3miALAk5miUaxcRNkSas056s9f5okJgomB0Eosgtoq8rPjIhkJEJWZBK3N2vIoXxtZSiwWrDGYFWF1or1fs9fvfsBLnfcP56x3U/EKBiTZ2xqrDEoOeM2BqIbCUJjFbTLI37xG1/hhx++z27cIW0N2nDv5JhvfflNXAr86OMnvHh9W8piJIQsxlnTSDbdGqUpinuhQZSHq4+RummpdMXQb5hiwYiOPlO3LaSAC6EMZ2Qh6xwf3WHFBb6bQBh0VfGVN95Bpsznz59yefOKbnNLXS/YTyMhTuUCFCkadRJKGq52e6JI5ATTMJQisJJEF9FSMQw9tprhxz0jPVV7RGMr1t1IGz2n7ZyHZ/f45MknhKTwMZHjxHp9QRLF4WltQDmJTuVA3k99yUZLUYgvPlHXFiMroEz+o88YVaFERRITfTcggCwlL687vDsv2flYYobjNNAajRcQSAWykAQ+BFptGPtA0HuIEW00J23NMBaBj7YVPkzU1nB1+ZJp2Je/+7Rn0d4tQymd6cNASolFMyeFgaHvUKonh4RHFDKONuWzplRDePrqsvSehCnPwbpEPLQqmW6lLEJQxFEuEqIneI+QBqMOiniZibFEXqPQaG2IqhSI9+NUMMKIghn1I9bWaGXYjT3KKLwP4Hv8qMhohFBcX52DjCgNJ0dvIbTi9uYZi3lD8hN+7Fk2c3bTQJQJEUFJizGayIhSghRywQimTNd1aCR7H5FGHi7amZvdmj95791CZ1KSL37lIaFPXK2KZPDtxwuik/TR8Hp1zpQ8WURwke+9vGYvlwhlsapi7PqCQZYS5zyLxRIrI7vdHpcjKkmsNIQYmC/nDPu+SO+kLAXdnKlNTUyeuqpwfiwITJ8Y3Z7To1NE3eLcCD7QpYFtHrGmZNlHt+fjZxNJzQi6ZRq3paBeV6QosUbhY2b0E+M4FvZ71fDg7DG/8iu/xSdPP2J6/THi9ASGLV87e5tPnj0rvQmpiGkshCERsbImI5nyQeAlPCnCdt2BEGh9KIgKqFvL0A2QBY8fPWZ1c4ExiuXymO1+RR4KRlhIQfQCGRRaAKJ8v3Ae29gycHIeSUliJBe5vFohbUWNRbelAyKEwE09LvtyzrQVi3bO7faWMPRUtkSShajIMhbfTs4omUBYKvMYRY8UufhudKSyBjc6bK1ojEXYmrcezHh8uuQPf/qMcQDTLBEEtJZls6wbjOnRZsaDB2/w8vI58ypzr11ys9uDsFgtaNua0XVk4bhcn3Pn7B777Yzb1ZrKaMiCFA/bYpHLYPyv6xAPYFqJSYbGWP7W1x5ytRn5+MUFi+UZSlluV6vD6r+swovoOAOZ4Iv2W6FpzIwubAqnNpTJhFKSnAW20gQfIEMkQwooW/B+UFCXIA65yYGUIzEVGYkBGmsKmzOFYib1I9IJKn2Y2ueEVJZ1vyVQCn1agHMD5ExMnsl5yCByKDdjXV6qolcfSAKs1aQAetlgoygTFjIqJIwy5KwwFUgfympSaB6efZExTqxuX3K0WHB7s0YEUaaEorTgPYKmajHGoLJkM3bE6QD/zQkahXKZEEvZ6Stf+Cqvri9ZdVtOjk7ZD1ucG8gCbFI08waZMkIotqt1Uf6KTCSSRS4FrlxkO5WtgYwxFbu+5+mrJxgzQ8uS6XrnwTEfj1e89/Qll+t1WY9GhVoV2kGIkkZXZGkQR5IpC1R0hL6g9iprCNkjVaHc+KEjS8nY75FIpLBIkdFaEMaBq+BQvthGa6WISjO6kU3vS+YTkCkQZFV4rymxqGbc3K4RyoJu+PLjB/zDX/8G7ukT7saBO7VBa8ngA04EZNzT+YrL20Byl1zLK1bRsulXrG56rveurHRVZs/AZBJ59ExxoFKKOgn2OSCkZBoKGlCIhLUNKWQm70gxcm8heeP+KR+8XtHFCS0PU5XoWa02hBiRyvH8xSe88fArpQCpFdpYhKrRWrIdNkhEuVDnGmT5XiIUQxfQImNtjfMRFz1CZIwS/OTjD4oASAiO5zPiMGFMw1vv/BIvnvyAbrclKIGJNV94+4s8efqUyXVkWX4e0TUyFSJCjoHoJ9arG+azuySh0U054E79QGUaXHQYXZNyRkvBSVXTtob1fsTUx9QqsdptGJxDaUGgSLOGtOPd2ytCLKSHLRvW4wYpEgaNlwF0wQkmHxFRFdpR3dAu54QY8UTCbsODWcU5gYjA1Bo5BByBmDOVLg6F4DzCSUTQTKKsdMdoufU7gihl7lmzxEWHyhVaeqSsmR0tYEpEtSVKTz9l8qFnUFUV90/vkhE8f/kKKQXztkbGhjcePOb19Q3b7cTR6R2uL14yr2uktKz224MqPeOkYSZgHCaiC0ityVlwb97yN7/9Dv+n/+x/xdVux/hPfpdhF7mcbgrTWGWmkGjMKW2zYhp2NPMZ3oH3+4PSvSD55lVFW7W4oZTvfXLkIWK0LnzjgxAo4LneXEOSVPWMYdgyn93ht/7uf8yzJ0/47NkTtJ2zH3dEqSEX6daDs4dstzeseg/JoIViygGjNNoUlv7Q7xFJ0sxqYiwZ6LG7pdIaLTSb21tO2pq3j1o8govthg+7HcpWzOolu/G2lL+FpK0sSiv6sSf4iBaSeWO53e1AyrJBoJQUfUhEOUKGutbcO77Llx6+xV999DGDcxhpmEImBcd+tabb7Mm5iJ601eRQLqpff/gON7stO78tDoo+cXt7w3x+Ri0ljTacnTxkfveMz58/ZdhvyfmIsdvgkiOMO9CmlEyniaevXiKBYT2WbUgMGL1j3ho2fUBlgzQFQZhzEWFpLYgpEL3AyELLSSSygWFyHNUzpEz44IjEkmkPCV2pQjGRAmtNwcUKhYBCQEKihSbmQJg8VpliNBaZylpMY9FC8vY7v0ilbnjz8T2i33OzXhFcZNvtQMA4Row2kCN3z05Z3VwRckZITQyZyTliTMRhImRRUKkElCmRPCHK+9HHEaX1z4VG3sdilE1lQCYpmxsXRuThsvX+x09Ytg3tfInaZ56ubkl9IIhD5yuDlJYoPN97tkXIdelvkQuqURf7qTaZ6EdchuX8Dp3ryCIQfUJkwdT1gEZLidWiCJOk4v7yhPPNRSkvSkVrA7/46B7fe3LNerdjyntM25DGARFzeZ3EQSYrIDjPbuioq5rKKPquL+SjGBlCwFjFz+giqk5UleD03pv8w3/0f+Rf/ev/muef/gSfMiIHPn79jM5PJFeeOaVTUkHKHDXH7IYerUoBNKWCsdztttRWs94HalXhUgQxslzO2G93bKNg8mWAcHlzWTjySeKHgCh/FZQSWGWYwkTOxeoeppG6rkqJ3gVimmjmFclFfA4kK9mPvkAHfEBjsLYlR0+/dwzj8HOrrUTTNCX24oNH2woj5aE0X/Po/lcZhsTTVz8FUTwFKUNjFcfziuNmxm4Y+aff/RSMoOsTNkl6GclSob1g3s4BEEYgDPh+S2UttdAoldBGM9dzgiypk0RFyAEtNa9ePCOlEn8kF/b9KALj1PEf5ATP/5RDvFRMU+I3fuVbbHYrtJCYKuLTxPnVM8qwOJGJBxZ8EYAgCoVJqYyPoJUihMOt39RMbodG4kM6CB9GpCy5wJhAJEXqJ6Qqk5Hgy2QsJlGERtZiQkJnwePjM37zV36B3/3T7xYqB0XbnGWmnbX46PDjhMkClTIxxWIMDB6shpwxWmJlMXAmIHqBlZbgHEqXg2R2seQnc2Z3s8UKRUqeLDWjOCjokySEhJRwfHLEF+4/4O7JQ57frFmtLxm2exqrGWPAh4SW+YDfkrSqZdkuuH/3hB99/AH2pKHrh1IA8x6ZMigNMfPk/CXBOSCTQqaWDVlFfCqymjAGyBojJtA9xkL0EzIXdbhQiml0KJWJokbrGc7tMUqWybHvGF2kUZrvvf8ZORuImfV+j7aG5XyBFpbj5XGZpttSKtpODjc5vEv0ect22iKCKvk9HQ9lEY3MFUfH91ltXpW5WMhIXYNwMBa6Rud6+qxpbFWa3T7gYyxYy0Qxc0ZDshXnVzdMPlHXmtuLNe9+8prKZqZ1z/5yzU8vbvBRsFzU7LuA8o5uu+Zl2jCplvO8Zi8qvA9004ZWa37p21/jRx8952bVYVQmi8jMSIJzjEiSTJgsy2HPGCqtCzZTQMgJYTVKiqKFtwrZa6TOhDAhRebk+D4hJG43l4gc2HSvcH7iwb17fOkLX+GH777L6EZSgKwEQlekGIrwQ0ChTmiMTEgSKTiksthaEl0qcTMFTbOkc54wOVLKPH3yU0Y3lbytkkhZ03e+4LtcUcMrLH4a0JVBJIXzEbRgv96w26xZLE7QZk7Tznjtn6GEIsWCLzOmIQbPNx+e8g9/6Yv8u2c9P3j6ivX+Boggy4QtTgN1UzGGQHCJKBJKV+RYBE0JGOJAGoayjg8JKxXCSkSMBO+5urzi3sk9fAi80478b7/5Jf6LH37Ok32Pd5koTMHDSUEQRW52sjzhWvWM45YwTWQaTh/e4Rvzu/zVu5+iVMWb977Art9yub0murF8TGw7vvHoAb/xta/wwyev+enTNdu9RwmDVpb17S1egNQCZRVjirgw8KNPPi0+hpDZ71cgEls3IOIeIQVZqjJddYntds8PfvwuQipUUhwdHaO0ZR0ju2nEOVfcB2nA1gY5ZHIckUlxZ3mP63WCfs8wdSQPVVMh0SQfiERSLAeiup5jrUWNkuAmXCoo1BhzmWgZjY9TkeroMkLZrFf86Z//Cdt1OajVjSVHRTf0SJFACq6HDmMsSgWS+tl7nRIDqVtizJjKwhToth1ZJhor8akixYjLA9o0HNWC/8OvPOQPPrnk9T4TQirW2jySssdUNSfzE778pQfcXJxzdZPYkyAFdv0eo1tUShBHyJGcigcgUhCp8/qEX/3GL3FU1/zgww+Ll6StEcmXg/v8Dm3TcnXxsmTXs8AqQQgwxlR6ErrhZHHMy+EFUSS88IwOZtGw7gfi1Y5h0+GDZxpGpnHCNDVCluhpNWuJY6TSRTpo23kp5UlJ1zm0tNS6JmqJ96WTMKssyIRPhZIUU7lAGVW2sFbXZZPWSpbNjPPzcmHOyR+cKGXLkmNGK8vp3Tuc356TgOwlgkjIpURaG4MiI0zBgk4HazAu8eSzH/Dbf+eX+F//vb/N1eUN/XpDrDSTH4mxyOFCCtS15vTshH034vfl+Z9iKKVuI8kxY5RFyRIhHH0gxUSMHoFgNp8xTg5jLT4lEgKhNE1VEULg8Ztfw/uB588/RMoKIQS7bs8wjKjNphT9XSYmh5Sl95B8KY3PqiX7aUPiICqUIG0xaiuKLXYIA1IahInEVHqASpqCloyZKKZi4c4VCUeUcL2/LiZZl7BKcTqv+ZUv3efHLzeEKHjr7BiXAoOM3G4GdE5oMiEGrFYombg4f8UXv/hthn6LzDesttfkXMAcKZUh3Lw9ZvJ7ptHz9LMP+b/94/8r5zdPmQRokQ9DqBqHQ8RApRVNZUs/zCW0liSViu9BCZqqgTyBmTGfn+A2N2SRqQ0oOYOsQCVkLUljJidPFoIoAkcnx0x9h5Ae5yM+wtFiCVMmucAUIkKAn0ZSLlCTHCXBlfiewSCtJY97tAStK87uPObevbd4efE+Q9ez73cIXS58ITlWm1tSKtjQjGTy5YJm5cBffP8P0FWLMorJF+lYkiDIvHPU8suPj4HMf/MXn9N3Dl0phKloYuLR8Rnrbo3LK6KMtFWN0RZrDAspcUSEbbg3r1lv92gxQZyo2jnZZ95Y3udFeE2vptIN1ZYcHQ8e3ufB3V/mz//iT4jjX2Oxta4bpnHkw08+I4rA558Vla5PHgRYKRDCFoucT+TsC3Ehl0JKDIV3GvNIFBkpDc47Hsxr/pfffoP/4fmWk4df40c/+SEjPTnqQhSQJQ8bQ6SSFmlheXLMXFV0LpN1YnV9iTaW1W7LDz/6BB8yTWMZJw8JTk6PCGNm7IuYqKokjTX4qWAyz9o586MZT19fkbLA+5EsbGmI6xpCQCJKbtNYoigrRRdHrGnISqJlxueyVhUpkv2ERzCfWb71lW/yN771VY6XDUefPeX1+RO2mx0iltdGKlkmhsrgJsdq2DFlz/nqipADMznjF77+N/nwybuM/QW2WjCOG8iabrst/lwFu2HF4/tvMK56xOhI2FJCjoGkLCGqw+EMIGGqlmksh2nvAskFHh7P2N3uGP2IUYY4Fa58AryLSDRVNePk5Ih6brEYGjNnUbfUtQAhyg256xm1Z1ITiZ7dVOOTxwoQxpBkoDWa3ejZd1coEclSkFOgH/ekDBUWBxirSTGTc8JE2KSRlDJzPaepIyJWjFMkRsfGlwOgm8qt/3s/+oCffPKMmdUlEjKU0rU8mAqdk+TthO8jIRqCXLIXCREDLiVyjMzFivPrLWdnX2byAxfDJ2iZyvTT1NRViSsEUS6yv/Plt/lw5fjs1SusUDx69CaXr15z9eKShKCua/xQZCE+Zq7XV5jKIGRGJqjyglxHumFg2+1ZHM/prjraSuJzMY4aWSgVQspCKbK60KJiop4JfIiEVGReMUmUhN1+U87OUiKsoh93pfxKWe+lMHCzOi/SEFE2NdM0UAZpgphKHrDRhn3fgZHs9htqNVIJybJuaaqa8XZPzJHo+0JTqRX/v/c+x+UZb54d85EfCTEj/A6hE0NyGJc5PapZ5Zp2dsZqc05WCiiZypQFKWbqxhImX/K6ZFIu7xkhBBer8yKV8jX/9CfPudgHVK4Y81CQmVqSUy5SFVPjs+TB2RtcvPqIoAxCJbYXL7hXv3mQMUk+e/lpQcwlj1GKmDw+ZeqZ4G9/6zG7MfHkMuNzT+h7vvjgId96503+1ff+HB88fiqHMEMpk1lb42Jk3+2QlFpLNW+KQdoYxtGxmCuGri/4OJvIWnGzW9NNGvHjwP/TO/oJ3v/0kv2QSIfCqhSF+/7s5Y+KMCd51FTK/r7bl8tfLq9Bn1YooajaORGIWeISJRakElpIjo7vsN0OCJkY3YCbUsmDIvjow/do2xYjI8N2jbY1KmcGt6dShn5zi5SW5fKI7W6Ni+USYGc1fb/D+BlKS46U5O9+5TF/8uScbXBIBcoqpkFASqy84F++f8Emz4CBHHoqqRl9ETDdO77HcSv46knL/I2v8hefPeG9z9e4IZB8xraaNAZcVti6Rdcw9evyvUSx2e/5wacf4aaBPjiUqhldWbnrHJG+Z9PfouuMrixucBih0Crx2cvPkNZw7/43+OYv/Eestv8Vu/0OUmbbF3a6tT3z5pZMprE1fbfHE5Cp9E60UUzOl36ULvENQmGKJ1HkVrmQPjleHLFdrUgEhJGIpMsl6dCPCj4SfKbSFSF4lJL0u55+O5XNJCW+KHRDcHukMCQiEdhu9wTvCso2TmUKLzJCGR6c3mWMI5vtDkicNDO+/OguH5+/ZnQTf/Xux7y+vOLzJ6/wITBOxauQpaOSAucCYRB8/OFrRC5F0cV8xt3TI56/eMbgywYzhQSixKTKlkAB+eA/yOiqJfiexbKmW0+czM7o+jWoxEw7rjdbtFSE5Auu9rgcKPEBpAGg0rNyUE7FraGE4PhkRn++AyEK7jcXIZU0tnTZUkDJgkmdpj0hJipVIyqLzECciNGzPH2THDNDf4EPHpcjtdBQRUafeHbe8//4tx+ydyNVrbm6vWVKGTe4Q2ohli1PELicyoVTDvSbNdeb16U/JCWV1eRcl4sdE7vdmqaq6d1Ijlfc/vgao2uaesl28xqhPXGYqGXm7klLFyPT5Ii+xP8uN+tysJW5RDIrQ/bQLO5w995bGHvEfnzN1O2pagru10r23eYAC1FFQChFMfCKMnw1UqGN4mZ9exAnmdJlouBRH5zeIybHZrclZof3HqslycWSZgiOd+4/5pe+9DV+/6c/5uzuHGFKjJbkieTiVWiaA9yhnBEQsJjVtE3N3o3cdjukTLTLGTJmTo9agtN8dr3jlx/PeXSy4NGDlg9fJYRpkEljVMDYhqUUBzmjOPS6yt9prsp0XUtL3SpCkggxIifDkDNZRm52K5IEOWWW1RyXRsYsmC1PWd45LYjk/wC//r0P8WO3Z350j8EntptbUAJDTWUbphgRxiDiiJFFiZ1lLnGHIACFrCC5gvhyOYK1VLrCKM3tesJ7x08/+SljmvAp8+V3vsrjh1/gT7/3r0kpIIXGVPDw3j2Oju8wrDpeXp4TZcB5VxrLxvPh+ROyU0VDrS1aar74hW/w+ZP30UGV1Z10rB3EUMqcX/7WG7z16CFXt39JjFNhL4tMSh6LxOdEEiVDLHI8TEAEUhl8DLgYgQhZEhOgBVJmrDCczGe8dX/Jt75ySmMkl5cLvvLWN3Ap8aOf/Dk+Toccc7nUnNw5IcTAOA7k6LFVRd/3CKloq5phEAgVqJuGlAQxZWqjEKJMaYapgxARWZKmsdBpUMQskFKic1FtJ23wouAGg59KWSc61rcvcZPD2LZIiFJGS405KJ6FUDTzGXXdsqgUdWWZVwZrNLPGFjpDTAijuRU7prBDyobKRlIoN9JxcPzGlx7xq196g//iu+9xvd9x1DQopbh1O7IS6CjQlSakRPSes7unhDEWw68rm5q968mVIaFAa07vniBTYrMdQU/oag4h0Pcd630gWU0eYTmbkcicHL/JzfqS2nusjPTB0DehgP28J6XA5DI/3F5jtWJ78ykpZCRFpy7VgeaRC83jZzjHP/nwNa5Uk1ic3EFqjc8Zoy0+B5wfy4efNlR1uVhNo0SmIv5Z7y7IohR1f+vv/CY/+NFfcnl9SZKW4DxJOKJsCAl08Dy4d5cxTHRT5v69NzB64sWzF6VETi4F8FykVHAQe01FkKaU4stf+zrdZsXtak0I5bJmjMTaUhyr7JwQJ6SMfOOtr3Mym/Gn7/0VISVcHIlyor/aUuma0ddkymq/NhKH5Mefv6ZuGvrxktP5CSLmkiM3mtOTh4x+Sxo6jusFj+9/macXH5NFIodi1XQpc/fkHtv9nslNGEqcTB745SJndFYEAVFEdlPkiYyMaaR3EWsSRljqxTHb9ZrgHBt3zTjtEftV6QkIyVwvuO0Df/7h80O8ZiBGgUDRGotQME6OFFs+vx74x//yp3RO0E3h0DOomALc3K4xRlPnhrGfDivcYvucvCtl/8OFIuQIY9ka1lVDjiN9yAhlicmXXkMsGNcYM/v1wF9+/xN8FGymIgJTqviW3RQP0YlAbWqkKJ9dBVl6RHAjIY0cHx0RchEs7YcdEk3OpcA3a+YcL2s2t2sen93H7Z/Tu4lKqHKRUgZDiXosGk19dJfnNyu0afjym494/vIpV/s1Qh4kTJMrKNGciSnT1AIzKZSS2MZiRUVll2jTgxhROePGgSwVjgm3zXx/P1FVPW/cu8NnFyPOBYTUaAmuv+XB43v8g9/5Kl/50mPm/0xy/vJdLvelJzOM25KDNzUaiaksc33Kri8UL5cELy9f4gt1gEi5MIasUELjU0JnybyZs3Fd2YBmjY+uEJRiZH31lPd/+t0SSTQSv+uxGpzrmaYNftphrWUfM6Mb0UYzTgWhVzdLWjtju7skTAmtM1KBCZLJeaQF70dCiqxub0vAKXhCiDTVspTlRSGLZZGpK4XIB2ukNqQ4IRDY1kLK9L1DhsByeUyWls32lnEa8G5CUcRfIY4lCy0tSRh01eI2HRqYUqBuZhhpCT6wnB2zXvXc3N4ijTggUctE1E0JIwVaFia4T5k3z97itrtiu9nS7XdFnOYyMScA5u0Zwe/RspCRZC5kJD90BBRCZHab8nX34zVJBUKCpxcvGfu+ICq1IQrJF97+Oq+efUa3LZS0kBKmaQqYIxXkYSBxu7otyORphzUtStSM454YHGSJ1VUpyOcINmODLI6nvgNbk8loq5i858Hde4y15Wb3Gk0pQPppj/j59saDVSQy9WzB1x++wXuffc7Yb8g+4nWibmyROnmQGq6uPyHliD8MMnQ1J+aJ3dCVcw4Nta2IIhOmngd33+D81WEYYzRhCtTWMqsj/7tf/yr/6gef8SoXwZELgSRicbVLyfHyjO12hUyC1eqc0V8Tg0VqwTgEoisiv7GfaBr7cxKdrfRBWJewWVNZg0yhDO4qjXORWqqCAJYRDvG5EB0xB1wocUYfI3GamLctfUoMKfPdD/+Scb8jHH0VKxVwS0ggiMiUaWczvEjEqfQglaq4e/8uWlcsE9zc3LDabdBJcH/R8ptv3ef3P76ini34l++dM2vXiKrhwT3NFAISQ9u2eCMxqsGYgjS1pmVWWXIsl2gfykZbEFjMFZOflYRAKnKo8We8flniKHXbcM8uWb1+xfPPP8O7v2Y6jZEF+ZcBqy31vMVPCec7ssgIkTk9PqVSlpwMz6+ekihT3Ha+ZJoGpBIIkdACUoiE2LFTDf/y03XJ8CpZJpFKsllf01Q1QkusV3gZuV/XuPWWj243+G5EGMndxZLtVpFEYhwHFBIVIZnC2A0BLi9X9H0xD7oAQWiCn0q6XlW899lrPn9xwTgV/rC0Gj85UEUFrWRLDAPaRkI+FAmlopktUEqyH3akENEZtNG4GMkp86V33iFmz/vPL3jrC19EysSHL5/x+vp1mTKIQNXWBJcoeaRE33ccL47xo0caQ3YOxI733v8jhDbkGBnGiaM7Z+wOfHrdWoxpcWPP7Xp9KJIohKEcDG1DY1r24y3GCqSqCUmSU0Rri/P+0NQuhUBj5/g0IqUp4hApoSroQ6tr5gvFzGiWdUvVtLRWoYxByJLlE6IUb+rWMKWGIeyQe4nSFSkOSGX46HzP5fZzdt2EVg27naeeiUJhyRAJDFOPQVHXDdtVh4tFFhFTpLGaRT3nd37nP+Xy+paPnn3Cf/If/Sbr2xv+4s9/zO2+pxvXLNWclBXROWJy6JxI3uBFZux2xKGjHyKysgwisdt1oDUigPN7jJkXS2SGcZqYhh5IVFVdJj7ZIeQhp5okWlquxx5pJZWWjN6zfv4MWQmSjxA8ViuyqXj08AtcnD/Hi4w1kuglqpLlQ34K7Pc7/vnv/Qt2uy3RRb5w/yHPbl8RKIcILaGqKxazOW7rsUqzXa/QIhej8jghDln2mDRaa3yeQFZkVxwLutI8evw2717dMrnyM6G0wFbl4ClQBythJjjBzXpdDqbSsGha/LDHZ4/QhhgCKfRlAty0JCFwkyemgE+lLHm5vizFViIpCW5Xrwvtwzmenku+ff+MYfde8RzIYl+ttMHHSEoOYjwIQipinkp+VYGWGinBicSEh2mL1BorNdGNIALedViTWTQL9n2PlAXlaXSDiyOd75HaItHMbYPJNTSSbT9ytrxDVSteX57jc2Rz1fPTXWY/TbSLOYbEsmoJSfDBqzV6/oA7JlAhuby+wHmPdxMkj0iZ7DNJFoNk9AlbVYUiIkXpIAhFnjqcT2gJQiQ8mZvtHikiElke6oepltIl37+YNyhj2O96EIFa6vK1fQQFRs/o9kUAh0iFQOTHUpKXgmnqSGJBEob3P/kIpQSzxQkuTAjXs2gtu6FEM15cXBZu+hRROvHp8xc/z1mTQabMuNuU0rnQ2Mow7icq0xLwdN3IqDS/+/QalQXzumW13xJSPpRqa5pZhRgndDMjixJ5VEZgRYMUE1VVARWdj9zu92xGhzKqTFVDOGS8DUIqNt2KJZb7i3t415cYoiySNStbIiNCZ4xq0UT2XQ8SjmYNv/gLX+ZH73/CGBX9vsdURyixRxlBxUjqXjLs1ricaKuKEA6HSSxDGEnSM6uOaNo5w7CmCwHZtng/cDRb4KuWFDwPWs16cGy9L723FImyFEmHwSGkptaalBJCTKSUQUlmTUVIJU439u7n3a92IYnekVMq2fa6EGdmRw9IYUXoYPKRrEDKzDQ5NJaYHcKXEuz55StS9AXNaGt80nz/s6ekIPBp4uTOMVc3F7gId5sF2EwfAym5cgkwbSmlxokplg6b0oLBO0RMaCVRshiFpZLEMRORxMlhrSHEhJENKgakCIDABYeuGrSpSPuBaQhlYCEUMYCQgc/e/xGN0VitGFIpwyMEKYC1iqpu2Pc9fRKcWsW8qemHxIgj64yJJeJaTN8FY13JiigiOWaEtSQRyCniJjBqx2//zv+Fze0F//y/+89ZnN5jv7ktQyGp0DoRY0Yj8D5z741T/jf/6O9z/V/9tzx/vqOqa1xyhfqXSinaI1FGkKNChEKmc9OE0BmELFZu7dmPOxptWHlPHAbunR5zfnNF8BFFycEPQfPf/NkHhGT4yoNvcrG94WbzAnkYuJIMk3NMYcRqi58mws5hRDoAMwo2UmRK5C5ElAJrG1CFHqZSRd+tGbyjbgyk8hoqkckITk4fcr16BQSutzdIkZCmQkvLvaMTLtZXZCmhqhBhYvADIQRCTlxfPicbxRSKBFMrw+gn7NDj+r6YzbUmkvj086foqkEK8fMBAiqy8oHfff8lCUsTLUMcWFY1f+PbbzGGxA8/viIHRV21mMZilCAfYA+2qlioBh8CQmeSrEmhnDGDjJAFfQ1+cvjdiK0kU/LgPX6/5/7xMb/1N7/D7/7xX+DiWPpsf52H+KOze/ihY9NtqKoZD+4/4JNPP0VrSXCRcRhYZU0IsRyCo8MgoSqTxuAHJKroa0VRIsfgWPXbIgqxFTaXieo0ddyurtjtV2UaRcbWlpVPhXEsDbNZxX507DYbEor2ZEHeFfxYyodJapZkIpvNFX23R+uIVmCNxk8FRVkpWO+29KYuogsnkBmkSGhT040eqSNKCzSKnDMBQApGtwcEShpQhRhQpEc1wQVePn+OUIl1t+efT1DXmatXL7i6WZWVoY+olNG2ISVPKzU5Jjbb28OFR1C1M9w4lUiJACUbMpJ+P6FCQohcUI5SlqyfBrLi7tlDdts1gsjoHZUGZWum0KGlITqHsZKYA1rrss63LTGNaOGo25bRZZQSCGDeNKgkWDZzjuZzzpoj2tZi2gVtJYv0ibIZ+JkqOEaLdw0746grjxMTwlmIjut+x5XbkyTEmJDJM0wjSRpqYXjz/he52Vyx7TbMK8Nu3+GmojzXyhBiZEqe69sVV9fnEByXl5fs99fs3DXN/Ai/29GFDVoYRErorEtzXoEfR65vXyOERgvBfnAsWkPynmnqyVEiRML5La2pCc6RskPIVLoCYURZiR8mZrM533rzS1zdrnl2sUIflNxJaMa+w4rM0Bc2bcwZFSMxOV6+fIJIE2hBcJ4YPLPlEjlK+hDI0vPkyWdEyvQ8pAERAkYLlNCczI9Zb6759Nlz6mrB2dkbTGnHzfVLZFRkadDGkMNU7HVKYIyiqkuBeXSOODn+6I/+DYujO+i6Jgx9yXa6DAqySPhc1NuZxFV/yatNQhvJtlsjsyj0CKGQhgPLWzHFQB5dsahGIBUx2dtv3OWzp+e4WPoiQkTSmIrcJXV893v/lLY2CCkRPpVJssiEtEFSSndRlOyqNCW6pbTi4ekpd45m/OiTj8lS45NARH8oFJX38LjfUzcG5z1SV4XE4R112xBHqJoZoYtIqZFC0VSKUXoaoVjMKywZVVU0asFmf8O065C6IUwRZQxvPn6LX/jGbzHKyAcf/ohu/Zqbi+ekkBEhIIiIXGIlSZSHec6pFOKMZj9M1EqjM8icCQE0CZkFznUoVOkCJIEXHh8zRtdM08hxM+fo3pLf+o2/xauLc/7yRz8gTYrj+Yx7xzN+8vw1xISqLbZpCOMWPwmkNAdOe9koOee4urz6OTDAR/jyN77NZnPJ9esnjKNDRsHR7IhN2qGlojlqmFxgeXKXbneBcDBNjtGNBa2oFORI8KH8T0FOE8fzU5r5EedXL5DKkPoBjUCqMuGzPmCNJihJchPnlz06arwIdH6HNYZV7/j04oZ/8i/+krnVfP5qy82+J2pBHDP1IXaVU0RmQTcEPtu/pG4q6qbG9SPKGBorCMkQU2Ry5RlidIU2guOTt/jRJ69Z7ba0donRmsntECmUTlUSrIYtMSdkToyxmHizCNikMbIiBccuTty7f4YLiVk2BCIhj7y+vaCtGpZNy9fvn/Le1RU9EefL56iWmjg4Ki0YosdHDludAw40JXKWxODJqoiZpDaMoWPR1ExBEMYJCWQPiMjN+ROMNSAtd+40+OjY7guHvLa2UJ+SQ6tIzmMhiwkJUSC0YcJTNzNiAqngpG7YTBNz2xDEwHY9UilDVhqpBG70nByf0LkN2+0aa2wpqFOgCt67cukfd+XAqEFgEFkcGpIlBy6ELjjpKJBJYoXBiYkYSkxUkn9WF8OnCZkMIQmUAEkixJ9BEQRjv0cpXXDD4557d+6A8uz2HT4GlK6wWtP3E0IW8IbE8MbDR3T9yPnqGmkgeYhIxDDwL/7ZfwlG0vmB8fVTSJkkNfcfvkVF4MmzJ4XuUy8IIfBf/tf/lPNXr0oEuDUsdct2d8voI9ooZEgHVHehcEGBeOhoeXh6l+vbi0Ipy55ay3Kw12Aqi5CG5CZM3TCOEyFBMAay5/z6BZv95nDZ09hKMk6Bsd9jbI1RBu89xEjMhUrl8ogxFVVdkfqIDJlAIIkivHp87zHXF5eczOYFX0mg1hWnpyd0U4fWc9569DW6/RqfCuUshqmggo3manMDSqJSQqaIFjCMe7StSVKyDx0yVVhVEeOAc5GUBfthIJKodEXyrnx2VBoZp5L+MLoMyZAFUT05RJ5IcqSZzXl0/4Rf/8YjBpe5vElse4GtMyJLRGWx+oi20ighqGy5CEqpDiScgA9FQOknh9WaQfV0UiACzHLNym+plgu+eFTz9x8kPlpq/nLji0iPv0Zj61tvvUPOHT/8ybsIJXj+4jlWG0KcSg7JSEbXoYWh1ZakDJURCCXpncdgyptPqWLzmiZSLLxorQ2maogHCYPWEiEMMma0NmQEKUUmF8oASQjEwmKlIrmEypnuZkNVGaaciXgqWVFXDSEltt2KrBIxJ5SokNLQWl8OA3isUkUEpCLf+uo32e4HPn72HjL4g21wxChJTql8gCI5WixZbW6LaU6VyFDKksmNnJzMub3scTJwd9aSk+ODTz7gnbsPOJ0d8/T1Of5QzosorJVMY8R7IGmg2O/6kIvSXYGfOoL3NPUMpTT7rkhQ3nhwn6aZ8+zighwV0QWyiQzDmugDD+/d5+X6Jft+CzmVw2COzI4WRdKkFrhpIMi+TNyt5aiqWSxOuBgTWnjyMCB8RjeGuql56+4jzk6OGcOEbSq0lGhKKUYBMUZA4aKm6QWtEowaZlExiUAQEqkiIhe6iFWZSQqkqDBSkUikBG+cvMmHfc/k02EiE6nqhmnyZY2XIt/9s98juEhVLfh3f/TvGIaRBKiqlFv+/7z9x7NtaXqfiT2fXWbvfew1edNWVlVWASgAhSJRJEjQtiHRICNaUoutkHrSoUkPNZT+DE00kBQh2+pgs+UYICIIOhAgSJhCoQCUTXdvXpPXHbvdMp/V4N1VQwod7OCJyElmRua556y91rfe9/d7njEFlEoseksaA0lptsMkxes0YR3EonG2Zz3s5DCtM53rmWNluVxw93jJ05eviLPowKvOoosXkS3zPPH01WuGUSac9+7d5+bmpZSUnWG5bLjY7A8TGUsulsrM4mTBej1TYhGMldLsb3egsmDSiphGlfVMceLFpRSmSko4o9gNW4lb1ELrW7pWcXu1RimFaStxTFQVCRVslUhNyJF5HNDKY22Pt5E5TezW1+QkE6ZaI8v+mOXiHjfbp1QiRRWZpuRKSZmsFFqBKgVvWiYiINQHIcRX7CGbq52UU3Oq7EZBNPqiDwXLQNaVhXN88PZ9fvTiilwVJc7kkrFOaBqlRKxtePPel7jeXbJbX2CUwpqeGCNOGc5Pzsn5YwwVh6zhJ6WpOkjkiUxIyAHfAsmgjUfnBpu2LIyhHK+wqxWOmYWBKSYu5lse3V6igyHFiDvvUGPH0fKUMWTGYctiecRbb3yZv/13/hfgHPPf/99z5RLz8JrX15KTdsYypig6dLmRoYsCLSUtux/Y54SOSegRTlOrJVWFzjIBK0qQsCll9IEa5VtDJTNOI48evuDi+oLj5TmbcsWz61e82jYSvUuFhXfce+MdLl48JqZrQghUbaQ6owpaQYoTShusEWTgD7//u0DFKegXKzbrW7b7W1LNhAjL1YIIvHz5EN/AnDN9t2AYt9SiySS65ojt7hZtHMpUajbgHLr0MpgpM11j6VzLZk6UrMh41rsZ56DVGq8bFouGIQaSjWALMSZeXe7RtdJYz+PXG+Z5lBccrSmqHA7xsnlKKaAQx8dxbfiZd97g0dUt+5jQyPrbK0usWTZsOPK4J4aZmh3zuCekjDKQi9A5krUQA361IIwjBcXb9+5zsX4NRMZQhL1O4fnLT7EYvG1Is5BULIXjdsFmc8PvfRYp7cEBUsSLEGdBZKpiaZ0llJFqRFNvMWg0IY94b1HKknRAIy+68zhijcZ2jjDOOCvUuBIC+5yoVbL4RClqFqLImhCuvLYSMUB5skooIpvhhtPjY9bbDTEkLl6NKCtl6EeXr2i9gmxouoZ9nAn7HdZYtpsNvunwrQxFaq7oXMWU7BpCymgFOWtymrl3/y5pjtxudjL9NUr6cUE+z7EodDC0uiPUme7oFOZEyIfNONBYyxgmtBGkbMiZs7tnbG+3lKyAAlm6XrfbW3S7RFHxuqNplsSacK18TkspbPZbagkYa+kXK5quY9hcMUx7qnY8ffEhjfW0RssAQzsUDZefP2d11AnhLkNKkXHecfHyipgCVNjtB9RyxZwEg9r2S8ZxzRAipTr5GSBDk6wrV9trKSIXMTDfph1geP76Qkg+udC1K6xWaFdIqoql2zbQBNrcYEvPbrxh4TxGKyKJtl8x326wxmK9P/DRLTW0NK6l9Q7XnjNu9+SxoEqmULm6uSYDu2lCa8i1cnx+yl//5l9HucTv/OEf8N0f/QHjtKFpGmKRIYQxihATOSb65QLrV+ymW5qq5PmdM1ZrjIKQglzv1WCtgZxQSgzcJURUozC1EbRtKaSqJGpWLa3TggxGcXbUs+x6tHOsZ82jV1u6pqPrpZumrMFrL9dr09A4DdZgrccbjXGGWiU6nEtinCPJRmY74KnUmsVImzO2qYRQeHwx8vd/+wc8v9jzS1/7Ar8TE09fXf/7O8R/+OEPyXlCV8tut6FxDafHd7i6fgVVYaLD6kIqket1xjrN+fkJX//a1/gXv/9thv3I0lmKhTCXQwGhSqGuQAojqCLSFmVJZQJtpSh6MAPWIrm2xeqU2/UtxhUojhRmIBP2CWsMGnCN5uT0jMvXrzDa4b1mHAZZN4adHDaTBg390QmL7oTbm1e8vrjmdvcapYRCUpXGuYYaZ4rSNF0jRr55RiGm0lISmUiJIkL5/NkrVDFoZ7i9WQuhxLVc7vaMU8BUBU2DrXIxdKYhlUhWhUDhdLmiMTCvt1ASkYLOFXXIBJYcQFVCLUwlUeKIypOsHZsWqmKzviKmwtWVprWGQUWg0PZL3jq/w8X1Nds8kcsgmxDlKVMmlIkbFKcPlpj1M27DjDGGO82KxXLB8elS+MMq03YyqXJGY2kP0YZKLZqooZSO2Ca8GTjuF+Q0E7QXAVKu1FxYHC857Q1X25E5zHR+iXGWFzdPyTkxlxkTHSFnrPGkOJJjwjeeMMUD1UBT68zd4ze4VTfMGWKN5BIxWmGNZcqRpm1ZLntubzaUVA5bhkqulWkeMEaoB8Y4nPeUsuOXvvQFvvkzX+D/+Ov/QiYT0rf7CQ9dOSlivVhvJMYFVCaUVZBhnyPjrnD/5IznVzcUqqAhs2bVnzOPgfZowXa8pccxD2tyyTjT0DnHEPekPNE4j64FisLoVoqXPoKuWKu52rzkZndJ23osmmk34TvJsludefv8Ll99w/Lw5Q1PX++ZS0SRmMsBxxVHXFXMtaC9oqqZ/e4VpIK1jtlUVBZUqBQ8BakadSYH2SY4b4hJGGlGi6L9bmvJpteZ2KQAAQAASURBVHI7JOac2A4V354x7S5QOhCmjAKcM3zjp95lDvDZzQ25FsnUVykAliLkq6v1BTGPVBQxKCBRXeXjV5/zycsXgo6skYzC5HooqSsR42SNUeYQFVJMKaGzouQJ3S1JxvHFd97kjQfvcNQqNrc3PLnYsCmBeTOxGbd4MlcvPqVpFswTEjlqW8aSudzv+OjRI4w17PcX7La3hLmACgQSjeqwTn6GSkElk7TgZ/ebLcUaTBb/RVGasZRDIUzIQnMY0FZkTbVqwBBjpALJViyWjx9+yD5EJAuRyVrK876RF+Tt7Q1xnogpoJ0iZf0TUoi3lqgKpVS0krJsrYeYwqEDNE0TbdNidEEfaEWvL67IB+pJCCLjmsqMcg3KWGyVImffrJhTxFBQFqZ5wziv8Vbxi1//BpdXF3z8+AmxgPVgbY/GMo5rsApiwilPKoFGe+6frnh6cYMphsvbHb335DCibctbb7zHyxcfYyXZc4iLtBjlmcOehetRTlGqJuPQacQvPWEUzLBSYBvLuB24CjOJLOXRAvYQHdQ5g7KkeMDhHe5RKNmwqFTZhQnlPX3Xst3spH+0WIGuNMazraIgv12/Atthj4/Zr28oScvLcy045w/PP8Vy0XP/vfcpRfHsxWPGYUDVQg6FYUpYpzEeiTPanuv1RrLgzqGtJ6aE0QbvHNpqYpiE4FJleq+svHAXXVFYcoz0zkvEw+mDkTKhWFIyWGsxVWFrJtRAUYaEp1gRavmmULSi7xaMuwFrNDlHeQFRluXimKgncTdoEQf51uOrYTeMLJsjlm1mHwdSqbiipW/hLToXSBnjPZ3uyXEiF+mcWCAkUNOWo7ZliJEQA9Z7ht1I2y+JMaFQaC8be2N7fubtL6Kd5cnzl1xfXTLNW7xtKDWzOlpQNokpJkzWNG1ChUkoWtqitKbkmYxBFY3VhZoUpURC3LPdjnitUcqAyry4eIlSiqIVy+6Uo8UJ17sXKJXR2rHoe/ZbwQo3nSOOgvrMWjDQNUd52bKOmEfQjpIKuoLSBVTEm4YwTWAqTdtz7/QBVsHjF59gimN5dIQKijlEajVYVcl72do448hZCrZZCQktlsDy5A1ubjeEeRJPkFZYKnEeiKkefBQR51qs0bJ16Tqc70n1Ndq21MIh5iJl3ZILTeNIIUIZpMuGDKh0LChvCCnR2RZlPYaOabdB14quihQS3ghmVKsKFnIW/41vDbVqjLI4bcGt0J3F+RXON1St+d7jHd5W5uxoe4NpWjrX0XUN3rc03mJdgzctRss1KGXsRIwJ62YGvadVmVpgQkkXbkr0FlyJPNtt+eR2DXMiPb1msx//nQ/w/70O8SXPIFU4GudRtXJze0Hb9KQ0Ms2RUizWd1idSTnRuJa+9XhVCK4wpll0vUpTMPimIQ9btNGYkuQQalvBwOWZoh1N42laT9yJKUwpGOdBMn7jjPcGoz35YHirtRJzBOPYbPeElDg9PmUcBvrFUqY0Y6ZrerQJNL5hv98z7HboVHiRnqNUpVEeVyvnx0vGUIho5jzLWrgUMRVVhVYGbcArTdEOlGYOM1rlg+2wZd6PaKUZkzCMp3zIGmtFYxpuNxt50CjFYtljjGe934JV1Co81FIVpVb2+wmjNSlHnHJcXt5g21YOuONEVZHetWht5PBVMn1xkGaKMpwe3+Nv/JU/z/d/9DF/+CcfMs17tHYyjTay+Ug58+TppwfOt2XRNrStpW89q05ygMoYFo0IOVCC6tIFUJmqwRx0ytOi0PUTISqWx3fYpQtqsaRpRmk46xz/5d/5Jv/i+6/53qevcaWwG2+JKZBKpABz2OGcQePQrmG5OmHYbSnaYLUn15kUg5BHahUZl9GoJJp6lKEexCaj2uEtxINrocRC0y+lk5FFWW20YTfs0SXy7OUV4yjCK2cVUwiCRI2BZtmSR8Gjtd6RdMJVzfX1BSUDRn5nNRWeXF4gc5TKUb+i2sznLx/y4N6bPHjjS3z3e7/LON/SOCd56VKoupF1dhwhywq4Ulid3mEYt8R5K+jVCspawXzFDMqQDtNoEKTn2yeV/+IvfYn/7l9/zG7MXM2Z1jjQmmEcqLoK/pCCwTKPEWMKWiW875jnWSZhqWCMxjhHjIkeTYiRHA1BJylCKynyvLey/K/+g6/z4eWG/+bbj1jvM43tSSqhh0Rvj5makRQzm13k//Vb30H7BdMYsMrK/cBVycNXTZgz8/SapnEo5bBOhFmFSgqFqrNs71C4tpGeQkjStcFifYOxmTlGSgLXNPR9x25Yc6c/56Rb8eV37/EXvvkXuX/vTX706UfMf/RtLtcXqK6ilWYaN+hYCUmuOX0Q/jhn+ezhn/Drv/a/Q6meq8tHPH/2mYjqkiYnWUvHVAGJytVSca0lh0QoGW0kd5nnRLGgA6hc0d6w361pveedB1/h8vI5u/0Vrlkwz5Nov4sm5j2tW6KSPBzOj895fSvEB2MUrXPEkIh5xuoicbnDethWQ28adiqSaj7k7EGh6LuesJ9YLRaQEvs5QvVYp2ksbIcB46QIP0xrlNEy2AgKZyuZQjBVrkWjiVNC20iuhjTBqvF89PAR22Ev6EA0eUrkNolMp2nZTwmrK+vdrWA3ly27MWNcS4yFYTOydRGjEikrjGl49wtf4gv373Fzfcl+c8Pr9Q7te2IaCSrTulM+vRy4c3LK/Tcf8L3nn2OMXGsxJso0y4tqzmLL1JrGe9lEpXpwiYDVGqVlUluiiM+ubq6Zc6V1HYoiB55cUNpwtDqnhhHnHOM2Ew9DnjnOlDyjnWy7aqlY62ltzzhO3H/rAffOz/hP/uav0HcNv/ZPfp0//t63KDFRi9wbYhKCkG88+yGjq8ZpQReGknDWkJJE48RWKUSxopVsOp1lLpFSIKok+f4S0d6jlcHpht1+w01es+g6Uo2QEymLxVSRsaYQsiIXg6qFVXckG1IFcRrJYcZ4Q6sd73zxqzz6/FPifCPZ7JoYx3Loag3Mu1F6IwqWqyORBJaRmDKN85SUKES+8t6bPHn5is16jzWWUgwWid/8zFe/zo8++T4DlTDNdMseVTO2MTjTMI0D75yccf/tN/mf/r2/x+rkjP/T//3/ytXNDcddx36cuH92ylwkJRBiIefEwnZ88/1Tfu/TwHpXyCnhjaYaLdZxKpTIHCe6rsVS2Y8TymhIEZkDKZSunK/O+eCLX+M7fzqSCExT4PLqAquNxLqMIzBTtdzTvdWkpGnajmGSLk9KUQyyTjCcRmlCGDjrl2QFF/s1z4eMUtIl0sYwDFs0mkLGto5xSLhaqVVhjJfBrZaX0moVXleuXr0koQUz7tufuGeqqZiiMChiLFidud3d8O3v/DaLxZKrq5eUFFitTonzlhALNRZKLRjjCEVs92HegTaYmshFtkDd4pzNcM2UIyrOpFolAaCsyCl1BWcwGVKpHHVHDPOI65bkmvBOcW95h77TDFnhmxXWynN7YTWkHnxD3xn61uIXK5Z+dTj79PimwdgGpRqBWZRIyQHlM+M0EavC2YJyAe322GQhdVg3oWLDVcrkoJjmQmHi4cXIfv53j9L89zrExxSFLasVpSKM5yrrmmEz4zzEGNHKk5JMjT97/orPby6Yhkg6CIcKhbffuMM3vv7LfPzJRzx6+CNiTfIwrnIj6RpDrZ5MZZgmxnHPaXNMRTOVIMxUY8lVEULAGX9on1e8VsRcqTFjjKDChmEr3HijICWWbcc4T2jnGOaAVkaazaoinSgnvNBSOD9b8ejZS4ZRJhh907GtEynKhWecY55mGiPmMUpB1SQIzZxpqsO5nnff+oCXl8/YhYHGtWAEYxXnvTDnlebk5C5xntnHyBgm/GGK5IxMvsXK2JCjFIaNNbLqHCNBZ6iBElv2dTq0+iHXmc2wBS25wN36kt/+3T9hvd4wT/tDEVXQiCVV+t6xn2a5STY9jWvo7AJvHEfLlq7vOe6OOFp29F2DN46aE0IDrFQMpVQmlYgl47R88Oc0Mg7Crw9xxmiwVvK9j18Evv6zf5uf/cYd/vlv/n2Gx7d431L2YuQrSokYyGSW7QlVyctFpdAfrbi+HGhsw8v1K+ktKHBWCTovRLQvP1l7lSARhRgTToPvLHEaaG3LlOXanqYdzliMbXi82fLRzSVx3AEVYx1aa47cEdUUBh0x2lJSpWrNol3y3v27fO/Th5Qqh9qFtaQKi1XPsNmR4iD5/GrY36x5kr7Hfr/GWYvTIvxyTUfKIylOWG3wjUUZzzjtScMVhIRzjdBqAKc0ISTa1YqqFdlMaB0JcaaiuBgmHq13nJydkB+t0SnyH/3Fv8If/ui7zGPAeicTtQM5RnLuUqiaQsVhSEgHo5SEDZocAnt7kKLUgtcdxUTa1pOmiZNFx4N7K17sJmKc2c0T0+uPpcxkFUOaUTGJiMdUNuPEomoUosgGQw2Icl2Lt0BRyXPAuQavF/K5VqJkdwpimglaMYdRsuVaRO5WC+1jCiLnKDphPZyujpmnkawUi9WK89P7fPVnfo57D75IzJkPv//HtLVlG26hyoO6ZpEGyeerUtRIiI55Hvn4w98HHDknKolYKjEEUhQiQ3+0YB5nUPLwTnNAKWh9R6oFKhjkM5N0Js4Zbx1GaY6XS7r2iCl9RlWZXGZqTZgieNTeNoRxOtiXFZvNjoqSQ3kKBKVIukDRP6GZiG20MB9Kaiplll3LOM0H1X0mjUEiAtZQrGZCM6WESRnT9rLKrgm37OjoZdOUEjEEShIKUbEWZxvKuEHbRMFBqGSVmHTLuN6gVKKWim8batKkOlCSTNCLioLArIJU3W3XDPsdrTsm1kzXeUiQqyenwMXzH9J1PY9jYr95xUnrMC6z3m5QJhPmyqZsaLuOrl8yxwFyRnlNCkh8AInPGaspCYqWYp9VIicUYlkRf4cytF1DmgJzzJwulrxxvOT5xXM625GivAwYDfv9jhD3sskzchjKSFFys7kmlYhRsiHRqjCnLcpopt2eaxQffvqIxaLj6naDsy21RkIpWOPQRlFSJM2ROcxY6+isw/uG6/0NKUPNmawyJQSMNnIoUXBguaJ0waIppTAPM1Cky2O1TPqVwWjD0eqEq6sLplSoZfxJP6CmypvH59w5f4OHT7fs9rf0iyPSGJlz4qhfUKwmBJg3iTurd/l8mPFOEcvEHCbBP6J5cPcuR+f3+PThJ6Rhli5Mo9BUYeZby09/8EX+9t/4Jf67X/uXQoaqGbTHIEb4Tx59wjjOxCRo2v24puwLzWLBNO+kSL1oyMqyHhK76RW7zRWNmSmAXywZkma336OUggRde4y1nuxO+coXVnz69AnbYU3Nnr5puN1tKUh0TMVCaxvunhzzyeuXtK6jd5ZpGhhyQim4unnOzbefEyqCQDYSuVE4Wtey3tzgvBDstLbs9wO6wDRPFKWBTGfFyFyy5NWrAuM0y25BKlKKT2o6bNdgjDPnp/e43V6hdBYfSNayRWoc80FCpnRFyeMd7TSL1vLG6V0u15eEcSAl6Z2YrIgpyPR7uSJOA75Yjr3hdnvJ9c2arGC33ciWvJMJvFZGUJ/HJ+z2E2kKAsdoW0qcKbkQhw2mVLTVkmSIFXLFNpY5DaCdwCbChKqZ9995hycvXjArzfnpfcb9NcnMzHqJt45T57DLlrZZ4azgWJXRLJsVZ8dn9ItjFn1L23r6rhenQlWUeiASziMRRQp72ZwWyKVwGypTECQxeaaYyuwtk05UX3EpMYciWNXy7/kQb70mTYWYE6UqVMp4Yxg3FzijcdrLmrpUbJWJuEqKYTdhvaPBkhI0Tcv5/S/wq7/yP+LDb/0b/lUM/OlnnxJywlgrODw8SidqDqKXbiybONFYQUQKtTzJG2/O5DygrZxGVQJnGmIqzNMOryXfaG1DJeN9I/KjVlPKjKpGcr4kqgKLIaYJrRsohrAv5FBx3hLmwG5Y03dLlufH5BK4d/YmL1684ub2JdrK5KFrezmExMDNbos1js9fPaRqmdgtV0d88d33+fjTH7IZd6BgDpGbm9fEONE1K4w6tNKrIueMdharIFUATWOM5L6UIuZE6zXn9+5xdbOjlMT9s1OubzfMMYLmkJGrXF1fc7MdISYyhVKrCHpIWOuZg0z+U7Us3BHLfomzheVJz8J3LNuOftnSto7WehqraTqPsTI9jjEzpooBXFE0TYvtDUfLnhpHTvojGg3TlIgh8fl6w7/66IK/9wtf5d7dd/m93/t1pjkwxUly0FXSzU5ZKoZ53JGmSs4OTOFoYdjeyMEd1VFqIgE2Saa0az2N79iXLWOKkvPE0PcNJiWOF6e8un7NPkyC4SXSHApCH7zxDhfbG7a7gRoztWSKLVSnoVpWx+cMu0lMmDpBzbKyNR3aGkEJ5kK1Guc1827P6dEZU5xxvuFOf0ypkUVXMc7hvGM/jXjXEcIeVMF6I12Bpme/WWO9IaRC0YYyR+kfqELWBTRc727oG8mRVxUxeiECnqp48/yM15srZg1FF77zg+9xvduJBbEIg16pitEerbKYIJWizANOaZSVaNZydcZ+H8kYdM0UshRgc8ZpxzQGnNL86eWG//U/+H22UbEOUiSvRFIWIoh2CuUUOWSMslAq4zTRdqcYpdgPt4civKxsc83CxS/Su5jTYTtXC9YqSjUY28pkp2RUlt6F8x5lDEVFidvkfGAaj7y+vKJrjuj7hpgzr3aRT58+Y46Gl1cvCcw4Vynb+VBotzSLBc43zMMWXQJpLlSjODn6Arc3j9lt1hQ1s1ysIIxgNU4LenMaJhrlaI1jHbZQ5OHRdJ6w3zOFSutbTlc9Ly/WaKcJKWA0bLY7tuMfMc47pKYnpX9XHVhPVIlIhZqIsWBUpNRKCXLftkpysqrKC7bRijRmrDEYq5jiXg4KKWHUgaShWo5aw8my56PXV3LARuzEVWXuvPUuOSc2uzXTtrDwxyQKoa7RzpFrJqUkJUcSMUsxnVrIJaM0pGFG1cjPfvVdXt7ecHk1YG3DPM/YYpjChKKijaXrOuaciOOI0oYUd2QkKliVRNyWraexPdMcud1tGYbKNswiEcTinROs3SHC+enjR1gVyKkwhopRSsqYoWKMJRc5xBiEC+2to9GG2mjGece8Kxjnhc5UwTnLerdls9ui24bNfsCUgjegDKQ6E6Pgdks9CM1KQhuD1pauM3TGcrPbo4qW6y5HbtcXbMct/+K3fgPrNMO0x1ZFMJ4UtnilZUKpDIujFW6wjMNINorbYaZWsWEr0zBOE15b1KHouOiWTOOORMU6sXiPoUivLCUMCW0NjbWEWCgls97cMISJ1jYoL16VRltKiJy0J7x/7x0+ff4Z0zjhUkQrmJJk4fOIeEZaz9e+8ou8/BcPmce9IIyblpgzygqdZX8jJKFcI4u+IaRC3/TkGIi58unDZ/w/178hnxeFZOud/C4snpvhhhAjKhd0I6Vp4y0hBZrGkEh89uqC613gH/x//j5ON7y+vWWXFKWMkGHKa2qVkrZpNbnsuXt2h7/1H/4q//r3/5AfPnxCSoqKFNRt53nn7Jzr2y1XJRHSzJMXn+O9pTGan3rnq3z09BPmYQOlMuUErmCVosYKsXDSLglV8dWv/gLf++G3GOdBNt21oI3DOENOkcZ2zPPEannCFArjvMY5wVHmqvj05TOOlkcoXTg6ucvu9pqUIt4bcp5YLXsoiQdG8R+//z7/8PETnm33hDRDVVQMNQesc0JtMQtOl+fc7teswwRIb1ErTb9aksLMftwAijlXfv/hE4qu9G3PZtyS0BhtCJuZfrmAUnAo7j94h/z0FVPZUVUClcjKkuoIaYfSDo0nzpOUk2thCpmcwbhKmvYoZzDZ8PD5Y/bTwMn993E0jEXh2yXHqx6rjmic4Xi5ZNmvmPOEA1zXcLQ64ujoiOVyxbLv6Puevu8xWjHHwjwHmDJZFXLN6JLJaWYaZ+Z5giiYzTgHjMpQKmG/IdVESolxHCROpitaZiT/zl+q/hgl8v/n6+zslP1uRFEx2lKdlrdiwHnDanXGdn1LzBGlFCeLcxa24enVY7yzUsxQmlxmzu/c5+377xO21/ziOw/4tT/+I66HHVbJijaFQIkJ1ciUN2VRDGttICpSDoebWEKjUaqy6JeEaSSTqMrgrJEPLhVTjWSZUUA9tKE7yZtWsfsZY4hVHqDDPOKNI6YowoDdiG2W6BRY9p5f/dVf4d6du/yD/++vk4ZEMYXNcEPN+fD/BN9I/pBSoRR803P/jTf5/PNnLNqGL3/wAR998jGbzZqiQGmFMx6FovFLxmlN3y5IcZa8fJYmuNWWRsk6bTdPoCS3tmgdp30L3nNxM9K2FlUiYc6EIhnhUiQGY4wgDItS8vOOSYhBrkMbCLOo3he+42hxyumx4/TshLfun3P/7JS+7+hbx1HXc7x0LDsx5MWUGKbAbj+yHme2U2W9H/n84hWvrq65vdwQ5sB6MzHXCQjkbDjqT7n3xhfp/IrnFz9gff0alcVCi1tRtSONa3KOxFrovCenSjGVxhimYSKjsE2LJpKSZtl4Uim0i2P+/M99he/8yR9zvd5iGytdi5hAV1rVMM4D8fAQpRQi8Na9e9zrj3l2dcHtcAtIccsg2EOtZOW4Wq4Y93vmNKGMoWscjW4Zxj0hF4xzGOspJCEFODEplpCk/W6hZIlLKZUJ80zTtFLW9LKhCanKNDYnsqlY55jGWWQtpeKtpipFqpFF09O1S9bbG0KO+HaJDYWjY8eb50uev15zsRnIFKxqKaXgjGPOIh9ruoZF1/Cf/fU/x2995wd8+OglpvEy9ckJj6PvesY8cHJ8wn6YCOOIc4ZpCijtMMpw1HbygmrLoQBchWSRK+/de4flseLJ6x37YU+OkVLTYSNVJaKmlBS2NHhjcb5jP22oOWO0R6kqpAmUrKV1S7IKmzNzSjgqaAW1RREw3mGUYgoZ54pYX5Wj6zy/8le/wRt37/JPvvUJJyfnvPXgHseL+1wNG54++4iXr2+4vbigdY6z0yNOWsOz17dMuXK7fk0qkbZZcnr2Njc3F+Q4U2s8xOBkQ+OpOOPolz3zMDGE+SDKczRakKzDPFKAo8UpxsLR0TmvXn9OSLNsG0OgaXugMkx7MEIm6ZqlDCLiAMbQ+I4wThwdHTFOkjeec8JpSzVCKZrDRC6JB+f32U17prCHArUYtKpYe3hZDJLLr0ZhagWnsb5BhSBUDNuQo0yOC1XIUaXQW8U+R3np7xz7/Z5pjjTNikph3G1JgLNGqCJO88Hb98FqPv7kBQaHclaEXnli2TdMIeFsQ6xQ0kSMGWdkDpVrpnENYw6cuSO6fklQM8MwsN1uuX+84v5qyadXN6SUsb1jGGa8tqQcgILKEDU4DKjKV7708zx79pjtcCulzxTQSrFaHjMEEYjVnNDGkcpMLQ6lKgoFpmIyVCcDl1IK0zhhD8+FxraAItdIfyjrz/OM71q6piGMOzKJEiHWinfuEBXNtF0nhcr1FlUAb3G2EseZrIRhfnr6Ju+/8SU+/PgPmHJAOYEeKNSBaJMOUU1wTu7fOQW09XRtgyNyux8w2v1EunR67y3iPLO5vsJYQ61S6je6oq3FWsf5+RHXVxvmOeOdZtEs2U1b7pyfMe0HNsOWnDPGWJy3xKAwvqXkyKJX3F7vOOpOuHd6Sr9s+eT5M8bD4b5vGr7y1pKnrwduhxHXGBE6Jtk8pSwl+lBkwFio1LnIn71UWi256qIVqgjW13oIEVKutI1Haycl8AOwo8SI8R05BrrWYZxmN46sbMdbbz3gwRtv8dHDh1zd3FJz5bgt7LNGVXiwWPH55oYhBKyW7ZVWhrsnd7BNy+3mkpAmSpJnfzESfzo9Oub8aMEUM69fX0jkMc2YCt4a5pIBdSDoaVTpiCFwuuz55S++yw+evuDJ7hptnPQCShFnREl88KUv8fmzZ+yGga5piDmw6Hr6bsn9mvmr757yf/v+J6xnhTIFpQtpFvGda1pqrBy3S3CaMewwRrMfBrr+mL5tWe+21DARU2J5tEJhGQ/nMK9grolKgVTIIaCNReKFEv/tmjO242sZqCnJ158dP+Di+gW5zJye3GU37QnDAMoIkjRlrLGkHKlGnFgGhV8s+MYv/Ifkcc/m5iGr1QLTNCyaI1pvuX/2pkQxdcE5zXKx5GR1zPHJCct+ydFyyXKxout6YolsdyP73Y79sGUcJ+Ypsh/3jLtbNvudfF/jxBgL034g1In9fuJ2vSHMI941XNy8ppbMHANzCKSY/q3n7j/L8fzPPInPVWOcR5HIqaCTFB+0Bq965kGypkoVqJqQM7f7F6AVKVdSCVijpVhQKx89/C5xnri5fsmw31NjQjWaMCfOTu+x3VwfDkEWWyspJqyRw4xCY4zFkFBKEEJx2qOo2KaRLKGXN7XWOtJ0iBwYhHSjLFpl5ihFWKsM2jSYWpnmw9RHWyAwHPj23kHnG/rFMQHHsxcv2U9rpjlxdnaH9+99kYefPKbWjGk04xxwrgVVUQRijVKetJrdMPLDjz4hhBljHc4Z8jxTa0YrR788Zpx2nDj4qx+8yz/++CmXuxHTevKcGUskF4UyjpwKqCK4xbFgpxmjV4xhR01RJk+2YQ6CGSQfCrtaoQFV1YHDLdET0xnaFpxd4r1B2xnd9TStpW0aeRO3lcZblr3jaNWxaBuUQiQs1spBKiQGXWiNUA6MBuOA0WJsQQWFUw7Va4b5mkfPNtSgcDagVcS5Jc2i5Xp9Q8wJraSA2pte/iwqywS3aQ/RJ2H/W+VYditOz95ndedtLi4f8fvf+cFhLX9YUSqJRVAzWWdBltWCQQ6x+5wY58Qnt8/YxxGlFa2xKAVN03CxXaO0w6rIfrpFK4VVBoxhDBPRRrx1hAOqlDKRo9xIS5qBSopFXoCroWsd4zyRohBdcsqHG5vFakWqiRiFsWySkwKddvTHp4T9iEbx3jtf5tXlc85OeqpquN2uqblIFGLhuNltuN5ssMajrGVhKsZ1kAvTPMiU1kOYZnStfPjsOZebSSI1c8RZh6uapDKbaUtRhfX6FqoIOmpJEllJAbtcMNVwKPBCLomaFE3nKcoK/YQFcwiYmslViq0xxEPhU8glylRqmhlzPtjxHBnhm4Pw03U1GAUpj6jsiVpJkapElIYwDaAgCwAC3zYSd1MK7VtM4WDGHZm2I8+mZ+xvb8jlMybr2d9uGHcvmfc7Fnfe4eT0Lu/cMTx69YL9TsqbepKI2OtXj2isQTcdMYyUrNC+oeSIsh6N5y//7F/kxatnfOeTH0j/JEQqlinKBtG3Dus0umRWXc9LJFaQY2Z5dEqYg6A5Ndw5/wJzDGyvX1JUltxsjSzaJcp0BAq1KE6PzzGN4fL6BVAZ54R1LWnKbKYN1IpVDt/I91HzTCmaXBLaKlIpKCViN2stQ8yUJFn/kqMUxA002kmromRyrdSUmaaJ/TBiq0izlqtjYhgI4/4QoQS/OCLnwJPLPUZljBM6WVGVlDJOOUqxGOuYZ9kA5BTxSh82UUZQhrqhcx1VG273t9QUuXO3h9RTUuL+6Ypnt2tSqYIFLZWqFLZ1pKlydnaXy1spG1Zl2O/XIvxzHqUUc81UZRhSIhehnSmlqFVekLQTLN+yPyKWQCXT2sI0CCBBG4fNGuM7aq6ADI/GeUQrMF6EbFPKVKuJUeHbDqMKqmrIFaUCJRVaHEMsaG+pNZECB6KQJsfK7foVf7q+JJURY6xQOZzGKs88DVTAWC2fu1wwkk6gpsI8BYY0SXxGV6oqUA3T7Yav/dzX+fCTH/FT777F7fWaj549xnlHiTMpTFy+jIxRUM5KO4KKWKvZ70YOaTGJ4+aCDlmK4aVgtObmNoAR2+WoNQ/uvs35LvA6PGO5aDDNgl987x4/+yb8wz9+LJPpIjn6H28RKRVdK2+cnnD3pOHDxxco3THOO6Yk2wiqYbE6Isw7pgLWtTRaM807NFE6eTHRLRqWiyM2u4nFsuWoW/CXv/HzfOeHP+Lp5UtevXrNehPYTROUyJ1lw8+/+4B/8/FLdnFPMSuJeKCIYUbrgi5wubmUEnZO2FKZc8EvNY3uWG837Ic1+zDg/IKqDUXN9NYzz0E26wrQmlTEA6OpKJVoa+LPP7hDSvDkow1zqUDFGunfVDKPHz8jlhHjKkPKKFUJShP3O/Za8dF3P2Y6eHAKYGx7GH1CCgFnYR+3tEYGB2OYAENjNT/3sz/Hdtjz6Scfsl2vySmhKPKc1pXaOvr2nJwHmBLadKTDob6WQikz6/1LmtZQExhErLRaLQipZzMYxlJY9AvqOEmErHNUnSklo5WFknBeU3RDawyPP/w9dNNwcrZEu4a+OWbReoz1nB+fsR1GkjH41rDse/pugevPsd0K4xuUtszzzBRmxnFkSoU5VWIAlTXzlNhME8M8MIwzKRb590tgH7ZMKZKUuE02+zU1RkItdP2SFG75tx/h/2xff+ZJ/HJxRC7lkLkTWUOIgZPVKf/z/9l/xR9+6w/46KPvMIeBucgHUzuHoRwypA3agMKgfYNTjhBm9uONCIScYowzVXva3jOME862whcFjPCVKGh8syKFSBgHtCkoZaU93vcHigmC/MnCW1baUIrGO4kheNeiSmI/zzirIBXJPBmNrpU5JgyCI7PK4Dop8sYgWMp+tUJrw26/o7Mr3nnnHnHc8ujJM2HpOlEHG+8pQbjesWS00Sz7ljDNhCgCoVQK1VR0zmhlaJqGMCVSTZwvev7ae2/xrz97SrtaoYzj+atLIbZohbYGUhGplrHUWGk6Tz2YOoXgkTCqsux6pgo6ZeYcSLXgmgZVDd44QdYpYaukHOj7U85X93Ft4P7dc85Ojnnj/JyzoxXLheP0aMX9s2NOjpYsup6cI9O4ZpgS1zcbXq8nNsPEejfw4vKaFy+vuLq+ZhgTkczrq1dS6lGaRjcoMmOUyU8uSToH3lJSAiXTRucavvru+zx+/YyLq5eUIplSEMSWNooS4c23fpq/9rf/N7z3wZ/j3/yr/5rv/N7/GRX3GAvb3Q5jDCEE2saSi0aFxC9+9X0+efmSIcoN13jJUFM1KUmDrdaENXIQVVXEQ2iH0RWyxD6qVhht0EUTbYKq6NySzXaH1pnGN1ASoVYsMkHKWou97cdUiyoHE2Xln5sqFBKlATTKWnKQSA5VsXANp8f32W6vGEtAKU/M86G0LGz4kgPyzi41pm9+8HMMIZAUXN6MvLx6SlVFHqhWY50hzYGUIaV0KC9bqoK2azk5ukMII7ebWzxCd+i0YwbmNEOptF1DiZGapQujdCEjzH7tldzktaYW2UKkXOltT8oJfCEnybPXEqgovLOEmAUDaK3E5uYZSNimY7U84fLmgsZYFDDnBKXwhQdv8+TVc3rvGZUizzMpR3zT886bb7Pe3GCMZ4wFozO96ZjmQDKapoAymTEEYpxx2pApB0W5fAYjYkdOc6BZ9rTtktubl+jqcL4l1oF7d97h5z74BT779Afc7C4YQ6DahhgGnG4wXkOpNM2CYd4eri/LWBJNBaUrUxIjaMmJEAsnp28Ij32/o18JdSOVyGJxhm8a0pRYLhzjuMV3LXHOTGGSnCtaDmcIvcm3hi+//Q6zann4yacolej7JWXO5DwT0kDG4psFw7g+HBg9IY20qiHXCMagcxF7dAnkXGjbhkIlhiRUjqrQRmhDy64DYzjqH7DZX+C7BePuUoqUeFQ1pBopOdE1jljFp6CNpqTEO/fusN7umVNhSom+cWQg5QKxslp45nkmV4kkaaNxGLTrKCoIVcJ2pDpAgvOzE3abgUSm1MiyWzLsB7QxhJxQh41tLhqMlLedgvPlim1IsoVOmZALVWX+6hff5qfuH/HffvsT1mPgwfGC1dGKZxdbqi5kJWxpydqCQQRgSms6Y0lJ89bdd9nPW4Z5zzSO2EYK7BrBnYY4oitYL/K5WhUUKAZKqTTeUJMYXalSqkZL1M95ja1i3zXa4BtHKpquX7G+eYWymsY45lle5p3RrBanYDxfee8dbi+uePzyM8Eg68PWqSpiTTTOYIxnCjMqSUSvUKTInSqmWmqZCQfqVN83jFMADK1x+KZnN86oOvPGUc9/9PWv8ejiNZfrNcfLY17sKi8vnqE0jFNEo7DekmslxcgvffAef/cb7/B/+Mff4dV+AhQxRdBa7oBGy6LOKFTOmNpw/sY5Fy9fCTWvajCan3pwn/04sY6VRWP5X/7nf5dv/+kP+Oe/+21ilsNnzZXT1TEpbcEY3nvzHT5//ZKrmw3ZIPfpnGj1gjfffIOL9TX73R6lNXme0Nbwi1/9Il84fcA/+s7vk1PCNj37/ZbGWHQFlCbWRCrl0CfzWOu53dywbFd0TU+ZJ44XDdfDyD5K3NA7cb3kJEdxa1umNOKNPxTMFWendzg/PeXxk89QFMacaI3lfLnk5FSMzMNufXAfREKseBxZRZqFyCobp+i6BRrLFKS8XID9NIkt2Yo8cHV8hxgj87Chog/UvSoOmzBBTSTl6LRjnHYY5+m6I0KcCFH8DQIzgJoyTS/RuFIU1jfomLGl4o6OBH+se47utNw9u4tVDSfHPa5ZoKumNaBbT7t4m+XymN5VlkvL8vTL+KanUQFdAzVLkXoc92ymHft9QkfFsck8vn7Fy+uX7PdrxlRpleXmZsMujAzjjrkE5piYtjfMQ0TVKr0Kq9hsN6T0b8/T/A86iSdUGqvIFZSzqJTpmxbtPL/9u7/N9uoSZxNKWeI8H7LHhVwUtWgqQWIjVVHmQKFH6yRoJirbKEiqQmE/jVAstWi8tty/+yYxBi5vXsgESAWMrlivUNZTUsRWxTRFsj7wu5U09HWFyEidEyUZGm9Z+J6sCt4KI7VUS00Roiabgi4yeS8YUqm0zjPvRxLCZt5v11jj6fySRdey3s/c3tzS9I79PnKERy2XGKXZzleoYrAVYiySr65iW6ulYK0Fp1n1S/bbLaVK9lhlw01I/Para0F0WcV6vUYZcFpRij40yLWsJJWi0S3etAwMlCw37pwjylnWUzgcgqJkuawijAG0wzWWVLMURb2nVuSDT2DpFnjXcdR1rNoebw1t03C8WnC07Fj27UHVDTk6nBP5jtZIFp9CbzNdq2kXC26HW6aQyIA5RJli0XS9pUbZRBwtT7lav0ZRUbrirGPZHjGnLT96/ClKFzRSwNFi60ZbQZ8Z0xBrSzWndEcnvHHvbRZuxfX2GusKcQpghdNMKfJws4bn1wPbcSZlJRO2oghzwDdevg8cGE3OAd9KpjskhIRQE0obKgljPTkkXLPAuSXDsGV5esSwnxCarky8rDLUXESolMtPbLyNWYBKxJpZ9Ufsh73QllAixbIiNIFECoX7iyOUqjx58QlKy6YJJpGVGMETzgfpklWGEBNeKz76/CmxRDq/4hd/+pf4zT98xW4aMU5MvvMgLzCNdWhtySmi0eSayXFms75BW7mRFqdYrY7Y3m7QzpJLojENKVd8syDEDERUNTLZQ8mfVXusNQwhUJICIOaZahWL3hHGSK6KFI28VIwiJgsl0vqW45NTnj57glJCxKmSgmAKM13Xo1KkasX1+pKKZjfuqcZDLbRtT82Kz188Ris4X/Q02nA7TQwqSvRmGJmNbA5LCQdyTCTVQswBYz1GFaztMI2XLVcsDNMNGsO7p6e07YKPXz5mmgY+fPwDtvOGKcoLwY9jKKFMmKrJuaJsw/LwIngTIo12gNAwnLYQEcOzNqxvXkHRZKXYDsJmttUxjjvOlidY73ly+YiaMy7K9NoYTdNYclDEWig64QqkqElo3rp/l4effEwukeOjY16+fAG1CIqy70hpkHJzytQcMFqxOl0x7LakIGzuoqEoja7grCdkaLylksip4pRiRlFq5Mw77p5mrq92DNOI0wpdDSlHUIGqLFo7alGkecJ4oZVZ03E9DBLx8pZF0wn5p0Y0mUWzQJkWrIV5j1JWSEJ1hlSppaIton0vSCTtINMxGmpSbPc7wclaePP0jKQz22kgrncybEBRdMPVfpT+yKEsb5TBtg0vbrc0SjNng3ENysA0jIwpyvUD9Bqqd+KY0J6SZ5ad52h5xmaz4fPLzzBO4ibKG6Z5kq2ZU+JuQNN2wlivueCMB2uIRZj3YZbtllMaq4VGFcrEyWLFEEcprBoHHrQ3uDkzhr0MeTCEkEi10loRoK3X12jT8UffX1Oz2HljlGyz1pb1KAJEZRxzTNQoL3W5RqwRqv1cJkpNLNqGNAe8bVEVGi0CulIMU91Rc2ax6uhcwzfeXfLzbx3xv/0nv8eHn3/ManFK5xpSrTSdZmnE4rqPQlN6dHnL//uPRjZzJBZxBTjj0M6jEKkZBlSslAy61TR+yfFyZAjDgS2u+ezykopljjO3N4n/x6/9S3qnOV4e8+rmCpBB0i5IdFWbzJfuHVOmW17dXKPQzFPAW3mu+0bic0ONxChDM60cj17e8uTFJSVKbxBbqFU2QuerloshksdISLN0TXLEWEe/7JingVDEHLu+2hJq5vT8LnWXZZMbE03bU2um1CwIygrUiqqw367ZbNaowxbCW0fJievNyD5estlusM7gnSYE8XVoUwhTJEUDuRBKJUfACJY0FeGx6yoghJgKxsK4vSIrSzy4FqqRYLg1lTcevMXVzWvyPFGdxyRLrYVh3mLtEuMqTllUjoxxwHoZ1qSQcdajc2aMiVZrlrmgu448z6DPWHTHhDRhi6XVjqqqFNOplLQhRUXWPTlZxu0leW6YFZQaqLkQYmDY3zBMW8JUmbPi2e6a7XDLOAzEGJmCQCGutzfEENhMe/I0iWMhZRRG5JpaBllS5Pt3//ozH+KbFkLOhCBTwq7vKKoyzxOfffJdOazngcZ6jrolu5BRxqFKJtaA0ZKrahrPNFVCHnDaszg5ZdhvKLGyaBu5geSCUYWSRU+ckiCYxv0tQRfRrUcQzXLFe0+YMrY13F8Y7i5P+P5nLw4P9oItSGG2VEKOrLSibRuir8yzEF60NpysztjOa+Y8MaaEdR7myrDb4RR44wkp0/mWkDIpTbz55gf8zf/kP+U3f+Mf8eLxD0jTTM6Qw4ixVg5pWmFtJ8WnnETa4BRZVVyj6LuTw5u5YZpHWQupitew2d3SGMPLy0t2o2A7tZHSa6maksQOmHIhMrLf7mm7Fm+s8GytTIysEbHVnBPWOo6XS+ZcWCzv0hnF5y8eUatmJtE3HY02WGtpOsvSWVrvaZqOrvWsupajRctq0dA1DdbI9+Csx6aE1uUnU2OjFX/j62/w9PWKD18VLq+/TcwDSltICeda2rZhN21RyjOHgGaPMU5y70pW1pebl9RqMcwkXaEeJC5ZHmQxBlzboH0DZeC7v//f8Pjj3+Hm5nvkMqEIzEnT9i1KVWJK6MKhdZ/5/Ob68KGWm+c0Jhrj5WGvNU3To60mjFvSnEE3GOvIccI4+T10jUdZseI+eOMBtax4Mn+f11cvOTt/k2G7peQdujmhX7TcvvwcY1vJwfuOCNw5e8DFzee0Du7ducOjJxLBUiUz54L1S7zrUanIlNIU4hzRvqVm4X8vuhZmmZxrY9ExoLxhHiZQirZdsYsz+2GgbyoX20u01lIkZkUsgZgnlCqoJOU37wSXqQ/bk3meUFliMFAYt2LfDSlI7taK6KTkRL9YME2DvBiFvXC2rScDYZYSYzgITlKMaNsyTRWdLNrK5zyMYmR0xuGsZz/vmV8OaDTewVF/zNJZRusYMwxhj/cWMuymmeXyiN1OcOPKNyiq0KqqBWX40p1T7p6c8i+/9yFzChTvRSXuKzoX8pRZOEvSmt08YIrFlkSc5fMyhEhUEZMi2ig0ittxoMRAMZbb9QXTtKZGhbWgO4+dK6EIx11pkRNN+xveOu751a99kX/1yQXfeXUjuFg0bdsTQyaWSGsUqTqS1qiaJILlHM4qUpoZd9fs50jJBWuF955zPuRRNTVHrDWYA9Fm0TZ8/uwVjx49IcRAzZFXz59KWT9LDCnNMzmLN0JreQBZrbm+ucEAISWCUtQY8Z0l60rMiTvH55SkmMuGcRICDfVgMC4NTy9uhcikNNYr5kE44hRwbY9SYq1UxnF6dMZ+WhNzJKZCmBNHTcOb98/4+OFLkkl4Y/iFn/k6j1+95vX2khBh0XiMbpjTSBxntK5Y3QvhpGoa03J5eY3BkWugaTxOHeyMTrEZ9nKoMqCMk4Of0ihnmMdROgHVEEmUlEixMtLz6TARVSGGgZe3Gmc9tSa8NULyMpmUMxUtPhE0aS68mi6FR10FuhBDQDmHVQ5rLMM0iO1XGZlgG+H4L05OUNZw9eoFqirp+SCSuZgLrW/ocJQ5i0FdVfn/R8U8Diy6FV4bAoCSIrl4pzQhZrmWykBjDGMupFTpXMNumEQm2HiOF0dsxp0wzZ1itVixHm5JMRFixLQWXRVzShhlDjtjRcHxpbfeoiR4fvs5xgkXP+TKj16s8d5h9BJvM9e7NdZqvvDgHa53G9598y7jfubhixvBa+62/HAUu61xMokuOaN1liGZL5QAb9z5AGzm8uYZry+ek8eRD95/j37Z8dlnz1FOsduNQIYGHj55gjWaUn9cMFWUrBjCSGMdqMRvfOs7TDGzbJds44RFkbNiP+z58ONPZLBmFQaLbx3DOLId9kyHaFEYC2aI9J1nGAuvdgM/9e6X+ezZQ5wRkst+F9nvRpx3aCXPqVQS1TqMNky7DUetYCeVVpQoRLdMZrm6z7C/OaC8o5DlkNJuzJkcAkkVGu1J445cIq11YEHPYJ06HPYtIQmdTdUqg9ppphqhgeEaGmMIQ6TzLXWemYxYik3WGNVglCZp8Y6UkmXLbR1TmDBG4ZSnlMg4Xsv1VIOcS9oOA/I7UBqtLCVnvLd4HKvlHS731zhnGMc1168sy6Mj7t6f+am3Gx5eV4xpuBklnprmDTMRoztSgTkYGTDGSIqZoRoyHcP1U8ZpEJLdHNhubqlxZBMmxgku4p5xnJimHSkW4jgxpVtUL+QoSUjMQrMr5d/vIX6ustpujJapY8nMJWFywBmHd4YZRX+04Mvvf4Gnn284P7vL9374bRqrOFqcsVgcc725RpUtioRynvOTe8zzXpTqjSMWS5oDnXdghaDy6vI56+0ruq7FRI1rllzfvKCiMbohxyAPwVpIacWr/YTtPKVU+kXH+nZCoagSAud6c4HeFIrzksFVFRTc7tbkEsBYjJL4zMJ3RFUpMWCrwzqL1palNcx5ZJwSt7cDjar86t/4C3zvo8/47iefkcZAtjMoLQWxPGKNo1ssGbZb4hRoWkeKkLRwhKHgvSeGiDeSWTxZHDMPe3aDcPAzs8Q7kK1CrtC6jmIyMUhmUymPbjq5eUwjVkkMoirNarUkzRGrLTGMhHFgeSS/G4ogEbUzKO8wqtI6Q+et2A5VxDjPonOsWos/4Ba993JIjgmlpDilD6vzVCufPt/w7PUNP/j0UiYGGJnioKglst0IW15rEV6lg80y10KtkZSFKELNGOfRVZjTaLBocq2gNU43fOOLv8CfPvoBH138Q9qmlwPksEfjsaWSmIViUkVVrm2D1YVYR/J0yLgexCooyR4bnRnGG7RtoGbQBc0s02nVEONMLZW5aNJ+j1KVx08/4417X+Lo6A7Dfk2pM9oqlFsx7EbICYximCfQBmU0NSdevX5MPRQEry+u8MYxjjNeg9cK7wyLVUujO66vIpfb+JOMd64ZhWYYhbrUO4PSlb1W1JBZ+JYxBzbj/tAr0bTe8PDx9/DK0rmOZXPMloFApEERS2XVeMIcKSRUNeis8cbKunzakFRBO0NjO/Iwsup6qnOSrx1GoddkzbLvqSWSCyg0MQwYK+IZquL46AyrCpfbG0KIkCqdUtxdtqxnEbscLCEY7aQUdDhwnB+dgcpEc02OWfByEbpFi6qWtj0G3TANazlEojBak73Gpcy3Hz3jwf1KVR5jIKaEKpk8F+ZcxA2xPxTe54R3FmU0qhQpNYaMO5SrmRPZFPa1kOaBnDJaw5zEZOzRuCI38ZxmGm8JSUOqLNqOJ9uRP3hyyVgCqWRWTpO1xTfHjPMrFouGbzw45+ku8OT1mpQSfduirSdME94ZSp2pOkpEA4VOGW81IR8OxAps1Sx9x1ChKkPJUXwfFGzjMN6wnwNOeX76rfuMKfDk5Q05Rqw3DHPEa0dNiUzCOI3Whopkq532lFh4cfOa1svLgsZiGsdZ27KfJy6LOCEWi45f/vIHfOuTj9nrjEZjq8WSRUxFpe9PCXORSFWSYUTrG+agePxqQ7VwdHTMsJ/48LOHbIY9MU80puUvfe2bfPeTHzDELV2zIOuA1UICyY2n6xrGNNLVwNfefYOnNyMvthu8bYlzIKbIcXcqn+WSMU7EOmneYw7djK7rKWpgnjJpzrza7FFppmIOBVFNVlr6M8hACWtQVR/K2UhEaQ4UVTHWoIrBJQXGCEu7JmzjWDnYbkdSzVgtEsCubdmutyiLvGih0FphtCL/eBseBjrd8Rffvc/vPH/GUODtB+/w9PkTVIE5DJQZet8wHl4ulNW4ZkXdb6g5cee04y998A6/+d2HrEMC20EZyDXz5t07fPW9D/i973yL+cBEF9rMgqAD0xzwuhEa0jSKcbZk9jnSLU7RtGAm5pzpvOP69hoF/Nq3I11juBoDQUWMFzv04xdPMUbzw4czGifRvyRDghoTOWasE7s0DkKKKDRUQ+96GfSFSF+0uEG05ktffBvX9Pzg488k9psVGXVA3EYolpRkoy02eTHKZ+VIFKzzaONBeeycsK2Q/SAwJ8Eknq3O2e32DGGSayFN1JwPB23Bjc45o53CF8+Hnz0iq8o33/9p3jy7zz/+9r9hmiY5/6SBXGQrVimkORCVYVsL9XCtlbxnzuawVR6F+64F7zhHwcvmkkghYRqLyZpUZ/kcGwtR7scYy5tvv8Hzpy9R2mKQv5dDoqaMLloAIt7SdB0xVqwVEZrBocss/z1XJSZpDTEVckxM44RvVpQoPhVUITOR62EQoQqqymYuplnY9lrTWI/zsuHYhETKlavNLTFEWsDmzBAHVLBU08jPKEoEK8yJXDPOdEw1ktME455SDSoHSgyENDOaY7Jasr9dU8ok/U6TSTqSQyaPke1uZhv3kGA/bGntAu0aVAmkMUr3rkiMulJkEP9nCrP/27/+zJn4vj+V4qjTaKXY7bcYa/FWhAk5R3JKdItO2J++p4TCGHd4o/grH3yJN978Mv/sT7/D1fVrOuV58/wOn92+ZpoGXNV8/cs/zUeffco6jJgDncI6TUahTcOb5w8Yxw1DzMS4F028KuSosN7QOEPbrQgxkNNMjhVrMqnK5FVpQ1bgKJSk8N6RcjogHB1pSnJzyNA4KZ4YZOtRD1OSN0/OmNPMkZdJ9aObPW2/pOTIX/uFD9Ct5Z/81h9SU2GKE127ROXMdJBZaW2pNdNYTcxJWt/OkqYMVnF8cs769gqDol+teOP4DpebK243txgl2cyiEP27FflRmUaKEuGIs/IGaX1PKZUQZqy2oOSmc9wuCKUyzZnWeYzTUGGMYlJcLBsxolnH/dUZb9495/T8hDtnK+4cLbl3eszb90+5d35E17a0vqFvO4Zxy3Y/sdvveH11w8ubicvbgcvNlpvrS17cXPP45Q3TnBi2e8ZxSw6J1hjKgZldDxPynAtGORZNz/Gp5/XlNWPOoDSuqoMxsRBTFrlR1ShTaOh4960v8Pjlp5Qfl9a0P/wMFJGKdhpjO2xJzHPgjbtvcLu+YF8SvmpykvVrBbz3QCWOEesMVWVSKhjtOV4esx9vqHLM4CdZ0zmBzvL9+5Y5R3mp0ZDJ5IAUp9Es7hyRhsI8DJQSaHsvkbMIy/6Y680lHB7urZXSbMahq0bVTKmGojI1HgqhyuG9sMud8ZiYaJ1jyFGwikoiOWhNrZWj1vLT73/Ajx4+IpZMSAllHdYa9lNE14S2muN2RQgTsWR607CfJ5AFD6FIRt1YedErsdAoyEYf8nyKX/rzX+fThx9zebOjMZWQFMo1TGGAWrCqCjLNdmgqIY2ij0+Rv/reXb72xgn/9fefMJVAjpCngHNONOExYaqVvo51aBRfODvh5XbN7TTjrHQmmm7B/fMHvHn/Aa9vbnn1+aeEPBPC4UGcI9Y7Ot/QaM9uHsjIDV4VTSkyJc7xgKI1QAbvvNBaimKaNyjtpRxvJNeckYljyQnjGtl2KM0XHhzzznLF7z96QYxFGPxaxGlQ6ZxBGUVJGqcrNEccre7x+Ysf4Aq8f/c+2ms+v7lmCFEoIxhKgdZr3rl3xKOXa7bjnqYV7VeKBW/tIXIUxE7cGk76Fb2xvLq+ohhLAdpFS9zvcd7iSua//Fu/zPFywf/ln/4Bm2Fit9+TasUgHgdji2AkSyEhmvYYRSqDslij0LZjDnus6eicYbPf4xpB/Fqt+Lmf+oDtZsejFy8Ew5YOscMqTgltDSoVIpmuawjDjx/wLSXJ1N9ahXbQ0TPWSM3yOVm2PcO4I6aZZXtErjN/8y98gz/55FNe3+xkm2UUXhV+9p27zDXz8MWGSCIn0MYd7OKVXGa0tmLrTpWUIq5psE7W5SCUq6984S2evbzkdjPgrAwbdC1oZYkxYxtPayFnTc5JsHVF2p99s2CKAykGzk/u8P5XvozJme/84E/IRXHkz5jTnnEaBK8nUxpKyoK5tKKlN05RUyGFTClVTNIVOiAqJFpoWuI0QSMkEm9lGlqMp0axL0/TSEiRxrcc+Y6vvXfMdz+/YYiZmjMc6GlN6ykBfNsKwnMS1KPvPcuzY8ZxYn+7o7WOIY6HWGSiXS4w2rPbbTEIROPPfeWnuRlu+fSzT6kGXAG0SOBqhWXbyga6BkLKWNuKRMm35GkSipFKWN2gtWxUrWsYxz1VySBAKU2Y9hw3nlgFR320XNC1HbfrNW++/VO8evGUNN8wpoq2hZoKyogMqeRMijNKWZFE+gbvGvbzXlw2peKtIYwJTCBG6Pqe9998h0dPn4otNspQ7qjtOe57bjcXrBZLdvPA1X5k4bUMv7JiuThm1R7Rqpk/91Pv81vffcgmDAzbNSjLsjthHG/pfMM+zri2Ic2F09Nj9tNADHucc6A9cRhpGs04Z7q2JcR0QNDKdrqqjNEtzkCcE9op0ND4BTEEsooSE9ENZyfn3K4vKFm6TMYqzOF+lnKkaR2+yhaqJPBHHTUVQg6MQ8QqybQXVXFWiDU1T5QMi8WS6/WWswdvU8bA9vo5RVW6viNMARARm9GWXAsdjrOjE+a4YZwzTb9g2XV0nePs5Jyus2jtMY3BGHDKY1yHVZamtWhjJMWQJHo2zjtSFPNuKZqjE8+f+9kvc7o44nf+8E/40cPPuL68ZDNEQs7kqMhpx2K5IOfAOEyHWGskq8TZ8gxlKq8uXwuY5N/y9T9oJt67HkikEigqYrTBoFmYc956/8s8fvYhediyHxOlZCw7Fl3Lz3zpq3z88DO+//QFHz6/ZSwDKc5sS+DJZRBckhYT7EePH2GaFpPlDTOFRFUJiyPGiSfPH+KNvBVTNalknNPYrkcbmdQO4y3Oi7Tl+vaWYdqTS8LWKhPULE4LtCXkeIgHyMMZbSgp0vuGYdyhjKU6gwahJOjCF+/d53q3w6vMeruVi/D6Ndoq/vUffx+yJmVQSmOsI0Zp4OeacVZjvQEsOieO2gXrWcRKxotQa72+OJRgG3a7LR/d3JJtFjOg8xjqYdLtICfq4fvWtaIoGNVRgGkYMN7grKZkoUU469hOEde2KKf5ylc/4NnTJzTeUtaJUjTzpGga2Yr4xqGMp++PaH1Lc9CHt22Hsw3OWDqvcHXE1CQt+R/HXKpEU6BIIS0qrNLYOlGTrCe1VURTqRF0yTjjmZFJwEp3Yu+bG3IRtKOqinogB8U4UYswwGOKGO2Z0sxHz34o/FwKKhmqGSk2U3RLiRHnDXG6pVr59y9vXh1Y+kUONdoRSzhIjQTBplRCgrIWTMQ4mNNINZqUZnJIGOeoqaK0Eg6yztQUODk9Zwwj8zDJurBkUMJi3l1eYV2Pagy+WIadoBpTqsRwSTn4DWIMbKYZoxBiSw0obSUfHhKNb0gxUbTITeocqLoQjGIIw09y7dY40BFdC+9/4Us8+fwZ3/30U0ISR0BSGVcLc4w4b8kJKInbeUOjLY7CZtqgvKV3jmEKKApWOdCWZb9gs10TakHmMZb7pw94/Nlz9sMgpcRGsGCoCWska5+ylv9GiezGiUXTYI3h7PiUz25GbqfXzEM6FGDlOsB6UppRP76DZU2qgWXT8Dd/5j1+/bs/YBflmvYGWuf4y7/0V/g7v/J3+af//Df4Z795xfXNmkVfGUpE54opmpwKZ2/eIV6/YrsLVC2HIVesOCuMJ2vFm3fvMg87brYbdPLUWpjR+FqxP572VIhRWMtd13L3jQ9Iw471+jnMldwJuauoKr8j5yhhEjKW9oQ00KsF+zmi5rVk27VB1cQnF69Zei+/c1rOz+9xdf0MZRz7OPP9z57jnMdqTZkLmEqpRtodFnRUNE1DSlHiAIByRgpixlNG6SilkEgp84cfPeWvfO1naZoFcTeJ0yMXNIqioVZN1nKQ7KxjzuA7TwqRk+Nj0hwYxojKmsXpKfvrl3ilAEsuE3MqPHz8EoM87KoSBGg9rMPKoUcypJmFNxx3HddzQalE0SIhVNGiTKVfLLm6XgPCTFdktuMWqwRXmoh42/D6Zi93qBxxjWwmUoU/+uw1Xlumkii14LSVPlFOxBhYrU4I80yskXKwiHvvWPoWmo79uIU0EcbMYnnMYnHMi9ev5MU0J6wpkutCget5++4KkytP1jdoI5uaKUv50wDn9874H//t/4Df/9a3sNYwbyeSy9w7u8Ozl88kUpDAO8u+hgMu8uBuKpWCpVSFMQZ0QdXCUERYZmImEJlLpQyBE+/4uz//Nj94teGz65Evv3XEk5uZMBQa6+mbFX/+m3+LP/qTf8Z+N1BRhBqgaJw1xDGiD5u1UiLdYsE0D8zThNl6uccaQ1ZFYAEFdIU8F4qa8FoL570kpnmmMT3aeBoNJ73n1W7GGcP52du8vnpOrvNBtqNIaZSi+TSxajw1RWKulBqwytE1SyAzFsGmnix7Nvs9q/6E09UZr26e0xhF43pKLcwh8vLlx9RqmLP0xPp2wTzPFKVZLO8yTbec9Sus91zcXkqnbx7RWHSpvHH3BKssj1+9QGNxTq63Dx99jLOWeR9o/YKfe/9rNHmHUxPL7pRX+8IuIh6YoMBZUkkoHbja3WLJfPj0BbtpLykE58m1HuImMjhwztJ6x5gj+92GOQbJgOdI5x1HizP6laZcrokxUkoBpUgI6MNZjy4GqzRTjagiAIlUB6xrqFkwnWGeubx8jlZGellKUhut4WBwkO8nxhmQ62Sz3VJzQcYAFeVk8k9EHAGqkqmYCsUYGRgrx024kvultkzzTETRGPHzxBSgaujgcnctkR8taLJxKJRiwVhcWOD0jGs0zlgsAfQW4xbYaUGet+LgmBQ5B3kZ1AU1T7Rec+e9d/mr3/w5mn7BR08f8/EjS65WtvNzoET5/m/Wa0yVU/bx4oSUr8lFvCiNM4iO89/96898iO+Xns1mx93797i6umTVaGKFaCpX17fUGsAkVq6nasUwyZroo08/4sgv2YcRWkPbdtT1BsOB8Wo0JUWGGrGrhqPjBZtpQ01Zcn7O4KrDtZ45jMwpCYM5gdGOmhWFSdTVVRjTJmaObGVLwTUWpiC4pJRQaIrT8OO3aZ3JsaKMcOiVTswh/sTGWhU/KfWFnHh0vebOyR02uwuezDtSDBgsTlmGuTAHYTqrGuVAmCSiAmKjtVj6/pjt7Uu0tczbHbZaZp3xrqXWSte0pBhwpmNx54jb9Ws0iWmOQhuphYBCaUPjW2KY0Fq+/0RhirNMaotGY3BtR50Vy/6Em/WWMklH4fWLC3JKbKcBbSqFQtsoln1LuzoSwZRzqKowytA4YQh33uGssOqd0VCC5DONRhuNOuTrrNUoiphcc8EBu5pZrhas6glhHsjzzKACxmoqBVcM2ihpdedMHCTr56xl1fbsQkS3BrKi7xfkIrlPXcCohMOxH+UFJpSAUZ6uW9EpS3uy4vXNDaooxiFgrdwwCgqrHbWCaixqLBQK5dAc98aSSiblmYJisTzibLHirQdn/PCz59xcbVBFCkdzUHhjKcqRjeL89Etc3T7BFNjuZkCymbhKKoUyb1DakrTCN1ZujK2Vm+FeGL9KVfwB7TmMSSyNKpKSsIznmDBV4bSQRpTVlJrQZLH52SXkiTfP3+T1+oLtsObp8+cS9QqB99/7gAdHJ/zu9/+Yed7/BEnatUJyut0NZDKtNWA8thqmUUrsuYzoWrBes93ssFoTSiBn4Ypf79a01pOjpiiYYgIyfd9z5+SMi+vnwujXB7qSs7TtknkeeX39SoRZe4WxGh01ush0Nk6CzmuMZS4ZZRQOS8yV//YPfsCUMpqCd4ZcZEuRcuV6O3G7HZjGREmZKYnhlGzRrSWnwNXVa1IoGLvAeU0KI9oekHl5xinPcXfOq90EyjDGGXV4Sc5z5FB6oWkW+CYxDHvCnLl+/QyrA4nE48sNDy/WWN9y1K64e3LEi1efk1IlkTnyDW/e/yJaFz7//AlVZcZJxDA5ZrCwGcZDjOKIzfYW5VriOB1iYIo5zRht0codpmqGmCPTnGicExxh0rRdT6Gi9xpfKj/zs38ZqxNPH35I0on9sOHDJ9c8u/p9Xt9sCGXGOw3aoWM8aMg1Kiusa6R8G0eUKVLWrIpYCrppKcOOcXtFNXKAW1iPalp2ww5rV1zdvqK1DXMKKKtJMaKMpZSCUg2t75jmkc12JBUtj7BSePftt2mt46MnT+jbU8Y+M40DRhm0SsQESVXBj/qet47f5OOHT5nZ400llkqoUEtBUaWv5B21RlRR6CTsaeUs8zRSVEbhUWXCUNls1nQnLf/Z/+S/4jt/+lt8909+mw+fPMG7Bu+FEqb0IUdPxhuNtpqvfPmLfPrZQ8b9hrOlWMlv9zuGacDresjFZ/70hx/yR9//IftR+i0pr3lxuRZ8aswY43DOsaAjlMOz0FjBGKvKcrFkjHtqyahUaZqOOUV81zEME7UWumbBm6cd33z/Pq/GzOc3M7/0pQfEj16zvr2VoUEc+NEnf8Qcd6RSWK3uYPNw6PsIrKFpPRRFyRpaI6ZPBcOwJcaCtY6iFc51B8JOxeeIPyD9Hrx1n1evLvjTj3+EtgbrpMDobMudszOudtdUm0X+mCzFWNzymN1+S0XK21NMskk38j2lmJjLhlISXesJCa5vhbjSdpb33v4yN5trFosF//l/+l/w6ZNP+ae/9Y8Ypj3e9XT9gpQmcq6gJMpa0sCJd/zcF77MoHu28x+SwkTb9Hz9vZ/n45efsrm6JlHofQ9VzgUxR2pNxJjp/ZJFe8RJu+DYV376nudi9QG/870fcrO5RlOpGimC1kLjVyxWK16/fsZ3nz1HATkniZkYRYgjSmmUgb7t6bpzYrxlmq/RWmGVWF3HeaIoy+3rGacPC0BkawCeKU8UVQWTa+RwHsuhKIvBVUWK0i9YHB8x7Eas65jnPcbItVdcgwojhgOdTDn6Rcs8T+QoG6NaI1YbrLIiPyoRrQpJGdrGEYeAQ+EbzfXFpyIRVZZQhfr3xvE9rje3xBgxRaFVZdhv6FtLKk7KqQqsNtTsifstyzKAX/GV8xUfvdgSlUMbjTaZZuWow56YR3HGpEIIUUAdKRNax2YXeHW1Q13tub2+Iu23kGdymlG6gBakuVH6sAHNrLc73KEjOuaZMcsL9r/fQ7yLzGiuX1yhKbxxvuTp9ZbN9Jrd/kIKMNaxnaXNS8nEfcaohvW4l1XjbkcdKvKud5gU5IxRmqxhP20ZLyecMexjFO70VFCd43R5SrqaUVqRs6FayeXnrOSHVasgzZYtad4xxJZ9HLj3xjsM6w3XN68pXqN/bF2zjhAmUlKgCtpUckgchklSzEry4a+loLWwiz+7eMaziyfUoshW01mPaU5YLI+5XT9Hl4RSjlSF0FIPZZ8YJAuW5j27KKzw680eiiZZUEUR5xnnFyhaqIlcIjGOeGuIQSbd1ErKFavk5931HSkGqo6MQbTURllZZxnLHIQQYIBSRrq2CM2mOm52O5y2KFspaca2DUkbtNKYUjhadnStxrmK84rGW7pGDvDOCGNY6eagmJftw49xablIGUr+kru4dhZTvDAgUqLTiugtfrHEKVhvNqIhp+fo/l3WNy85Wh0zxxW/8NNf5Ppmw598/DHb3Z4je8Qv/4VfIdSJP/rDf8V+uD3kzCTmFLLQkxb9QvTT2jDs91gF8YDVq4jUpsQgN8lSRUSiq/CTZ7l+F23PJq1RVbHwPW/dfwuVMl9+9w2ev77h5nJNNQZrvUzF0wC6ZZ5HPnv8Ld5/7+e5TJGS15JRRRPmgPUNrVuy317ifIPSRta+qaK9YqoBnRtqhaIDtTY420pspUJN4VBY1pQoPO1xilALiiJIPG1IkxBuHr54TNNomsYxhIlVv6RYTwAevX4JCt6+/4DrzUakCqoQZ3Cmx1srZUhdmXMgxBmvLApzyAfLVNJox6ptGIJk6Oe0JmRLKoestVIiLxkGUhgR+IsjxoA+uAuGYYOqBzENYKqjhCqTvjQerqPE/XsP+OVv/mV+47f+GdM0SEY5J0KuWFUwRl4olGnwbcPv/O5v8uHHf8Ltdg9WyYYrCcEHlwmzUHX2QxTCSinkWW62UxrRSvKv2ez5/qffpSiDrZly8F+UecYY0YdvdxO5wsnxKYuu52Z7TcxB8I7WUnTCoDnyC6ppuZkjUwngHTlGzhZH/OybD/jH3/5tQki88daX2K5fMQ17yTtXR1CTbGRMoarKHCL37r/NF959n+/+4Fts9jcyCNGGFIRDXrEopwU5GSuFymb7gmnM1GJZNJZHT/4Up2DabzBeRFXXw5rNLA9ja6y85OZKVpoQZ1rbUEth3A2sFis6t8CqwpwS2+2OOAf6I8Od0xNub6/lpUFb5jnSeBmCXF2/ptaZoAVVOIfIotVi7TWWKQyHtblnSrJqL4C1mt1mYERjjeHi1QWroyMarZnHnWw6XUeL5rz9//H2Z8+WZud9Jvas6Rv23mfOubLmCQOHAgmCBCWGWhLV6pCD3S1boXDYinB3+A9xhPvC175zWG07Omx3WBLbrZYp0qJEkRBBgpiBKhRQc86ZJ8+8h29aoy/eXeg7mw4xlDcAqhIZJ/c5e39rve/v9zyWlSo8XT0i2wTRif8kBXKWqCI5k0umRGQTxoitWnKI+JJIIW/t3iOojKsqtKoZysAf/OE/Y708YZoS2hSq7c+M0Zm6sRBlYliqGUO34d2f/pgwBjRwPJ1TgLpuefn2Szx7/oxA4PT4mN979kckH2gUKNdSVy0pjvgg0RIfA61qhH6FEHKyLsx3drEYhmGQ2Frd4FNimqS0OqVILvJCWutYMeP/8Kcfcboa6abIf/uNj+hLJhVNyRNTyDx9/qn4AID9gyM2HUybDVopVC0XWeMsOsPk12gtkc30eQRUG7yfcE4EP8rAjZs3OD07I06J5XqJscAkojijoB8jT8vEwe6Cg4XlankmWwvVcu3mHS7GHuM7SFsWfQZbVVIetHIQAyg5UYJsTI0W0tpyuuLBs59SW80mBS66DSoXdLZk78lqRBsx8koEwxCzIvuJPNfcO3vG49NLrt9a8Lfe+Tp/+p33aBYHNG6X03gCWrPTOPYW1+imFXrYCGnMaYyByV/y04c/xqrM+48Loz7h2cUVtTJEXfAxUTmxkV+uNuw2mTeu3+L+6WO0axnSIH2axR5DvyJnxWJnwa//+tf57N4xuWRSWkISn0OJmYKm21yyt3co0dYUcXUDpiaPPSXGracgiwxNybY2AyVpQhUoRizZ602PchVjkKGSMQ4fM4bMy0cv0S4a3n30IcUIwjQVA6UIoAPJwxdvMEqifEklaizZR1IJnF9dUnJhsbtHXVdcXpzgQ2E222UYe3KR0nvKBW0UJVlirki6oFWhKgXfb6j3FH4obEJNexBkSBCzQB/GkWk8Ja1OmZmaa/vXWMaR44unWA0lTChtqcqcj5884J/89/+SmANPn51xsr6QCHdRHCx28Dlyub6iMTXOzRnGJT5nQhBiVIgjVtrEfyW//tKH+Gcn52htmC326fo1D843WG2ZW0fWBddYxk1HyGXLlDb4HIk5AgXrMm1bs+k2ctBTWcRNIWEah86ZGBMmQz95NAbB6iXGsefp0KGLEmHPNrYB4La8V61rlFNM40SKkSenS9qq5eL8lGkQnXhIBV0ZwhQZQ0RbuR1WdUVKXqIKyPo09SMxa4wS8UwqCkvBB4+tW/b3DrCV4fTsOSX0nJ2sMVVmZ3efnDO+61BJ9MIpyJ+5aHewtWW9WpKt8Hutlddib37EGAbCtMZnaZ3jA323wjiLsTVhHLa0hAqtsqD+VmdkpWjqGuscYVzjXMts1tBvlmRn0VlQVpvNgDaJpCypBKpUKFTsLPbpx60OWWUaBXPnMBlqa6mMFJqbysoEb5u3dLbGmEKJBa0rUEEsgEDKWbjJOW+LuJrgE7v1HJtHKh3RWTO5fV688yp//dWK/8e33+OjZ5dgLTO3S3PD8c4v/BKPH3/Mqzdvo0qNs/fZ373Gwc4NfuUrv87+wYyL8zM+/vA9VKPQudDHgsqZhMXOjrg4f8ovvvpF7j38lDt376KV4t6jT0gJxnHg2sFN9vf2ePTkEdGPgp8qCmMcOmWmoScXqKsZJWc+u3cPjOJiWPLa0QHHtuBxzHfmbDYjMVtuHMxYd4kwJJ48/Yx+XGKripRE1qGVYTZbYIJgKlNO7NaO37pzjY/PlnzSeZQyjHmiqiwlyGGzbiRmZUzh1vUbXK6WbIYBhSYVKeS6poHoKUpT1ZZKw2YTUUb03jYr9psdvvoLv8zl8pwPPrvHGDwQ6YZBHnwKhtETY+Jw/5AXr99g3S05ubwEhIShbCXryqxJRqOiUCamEMhFSXFHKWKYQAn6LfmE0vKhm2PGGIXoDiIKIx2X6DHZYmpDjAGtGl56+RVW6wuWl0/Jn18ENj2fPriPiVG2Okkm0DYXbuwv+LXXX+OPP77H4CPJ9/RTz2p5BsoSsyBNlbXs7t5AFcXF5ROK1jSuopDx0cvkJwtFQhdhTc9mO6AdvrvkoG7oVIXJiillpjSxGXqizuS45uRkg3WWlIrwvK1caKDQtg2r4RLiyEt7r7DEkkLCWcv5+pTvfdJRuRqiYr08RyWxNiZk4h19pDKOa/NrFF14vByp64prR7chW1S2YAwhBqrK0bQzuvUFdVuz7NbM7IKFqwkpcbB3yDD1bMIGu8zUVjPlSPaiBm/rlrdefY0PPvmYVDKH+9dJfeByeYUxFT4lnDG0Ozv8vb/72wyT5/T4hA/uf8rV6grtKmIcGJJMFDWahbL84o0dRgXvPhugJOZ1w5g8xWSyUvhQiGgqrRHDSsDVjmvXrvPs2RltbfjynRc42N3jk+fPyP2Ea3eIU8fOzgHD0FOUYaey7Gj4T7/6RX745IKfPH1EyRWEyN7OAalEVv0FNZWUO5WlbZz4G7TG+4milXzmWdC6oeRATD2lMkzDCKnw+Pg92rrl7s2bPDl5SlSJFLQ4IHLBKCn9O5NJypDHTE6ZurJEEikV6nrBW29/mS6PHOzu8PCTB2DB50DJihuzBcbUnPUrVMrYSjwp49DhZjWVlwuoSYZsNGpnh9h3mJKpCqRGWjnJyyWfqqKozORHni97ThLkKFPREDLFJIlNJSVFf5T0u1ThyaPPtrZlhTNCiwspMd+tqJzicn0FSsnUsRRMSuIwIGNNxaKtMaYljR0qJyprWF+eg1Ys9o8IsWCzsPtv79zkhRsNv3rnNT58ds4PH69J0WKpGLonVDqzM59ztuyF2lIy01YU6Zx0KryHWCLWOJqm4cbBTR49e8iTsxOMcqRxw7/4g99FhUyIPZB48dYtVpuRMYwMY4exgpNVFLrccHV2CTFyuez47NExl+sN3/zJN0jjQFtXjFNgWG8IU5Qojo6YqsEqQT7PtpGXnBKXm0hxG1qjmbuWbkg0C4etDLtqwZPLC5JNELeXw+xxHjCKg6Nr+GmUxIKP/OjdH7FcXRGHiRgDGCuo5rChco6YCymMRBRKW1KCW3dvc3X2DB0dYRwx1oCGedPifZD4pIY0JonBKOmzpCQwjqK1dAqtZgodT5enzPIuxAwlMA2ZVCJKSbcsxxGD9HSM0+h6zjBumFIQn49yTJuJtl0wa+Zoq7G2BeWZBs+UMzNlGEsBmyiVFtOrscTsCSmSjSaWyDQWilaEYjhbTnzzg+fkIeLaxCZ0xKFDN45iajbdQCyFl25eY5o2PDpdoVIip8LFeWA6+ZB1hiGAHyNh8hht2JkveHp2htEVxRcWR7v04xWEUShQWlNXlXR9GP/DHuJzKdRNzc1b17n/oMPWLbNK0602KFOYRsE0WhVR2tLOdug2KxQJrR1+UOQ6YE1LSAMlgaorXANlmshoGiNJ2r2dfQ6PDjm7OGe9TlQOwigH0RDlz3ONJoVA8BnXzrCmBhJWOVk/+YHKNVtTmpT9tAWnIBVFKpGYBJcUgqw3VW0IkxLWaG3Yme0yrkaRPyiFRtNWFS/eeIHXXn6ZWy8u+B9+/98wxcL+zoy+73GV5sWX7nJ1ueT+fYksGFPYbRe889rrxLThw9hzNXh88mhdkVNmvblCO0MxDmtgZz6n3nU8Oj7BFAMxIi1HI/xrs81UFmRqlGqMginL2mucJoypWThD320ogubB2jl5GjCm4itf/AoffPIBZ8vnOFuhsLiqYnd3n3nb4CqLMYrKOSpb0VQVzjmsdVhb4ZzG6ImilKxVtgXiGJEpXSqkFGErTGgIzCrFGzs1v7y/yxjg+xcdnx4/5I/Xiqena6KPpLjh3uP30bri4uqUmCKPnj1jGrwUT4eOjks+e/SQF8or+OCJKdJ4I7k6q4V0UhSnz+9ROcsH9z4SYcvFEldJAVADVdVy6+gGt472efT0AcVZTNli33wSBKUWIlHOIoGR4o7h+OlIuBrxGeaLGQc71zg7/RhF5uoqYpoFuQzYRpODIEp1lIiXVQ0aWA9LtLGYAkeV5h+98yL/8gPL4/snBG/IJcmhlUwg4LuJo50Fr999iatx4uRiSas1ptJ0XpBtYUo0dQVRPtDYXqyz1EJkdb6oeOutF/n4UYKHilv71ykl8fzsVGgWqWCMYd422EpRzR1vHLyFUU94fP6Y1m2L2fWMMgVK8pSc0NlStKOpG3zsydtNljIGiqwntVK0FVAUo09b66Y8HLDQmhnkyKSKYEMVjOtLfN/hFFijmYKmH5a89+73KEqhXIMuglMz1pEzfPL8BFVkLbRcXZBixtlaHiYho0zGWeiHC4nMmYIqkW4UeoPWFuPk8tTaihfv3OLZ1RWh8+zuH9GpzGZYimBGRXJtYLJbyUqFSmpbjhVClcqeysjXlhR0YUCeiIHjs6e4xpDGxI6p6WKgv1qxaFuq3RlX6yW65C3X2+KsYsoKHyMnqzPZjuTEw0ef4FIG7zGI6fPzSW1YXQEQQ8Qox6xp2J/v8eDpfTA9SYEpEh0rSglKL0rR8XB/nwdPHxKTGBa71YpQEtoJ4amUEessqMzZes3f/I2v8Sff+BabbgNFUTtLSoGQPa6ZMYwDtc38r7/2Ms+95aOLJdo66rZhddqj1dbBsHVppCAHzpQhes3FpRCCru/PWOzv8Dt/6zf4tz/6hMsf/IiQMmEa8WnEOAXaygGMyP/rvZ8QfIXJDSkGck5cXZ5IJtcXmnmDyl6eE9NECbKF3YSJxok3pBhNGCeUcRRdGIcECbJRlCzl7hduv8pyGhk2lzjXkLOi5MyUkgipoqfZ2cWpmtBvSHlr0a5guTzlG3/2r8k5MV2sUFbs4zvtgpQjlVGcL49x1jBuD1aNc/iUyGNCtRWxH5kvJKt9dvoUnQpJCW2ocfKfVeWIUyQlj2taYhypi8IXmVRrJJZRmVoGM0H6aTGImM4Yg9Xg4xbO4EV2pUrh/PJKoqgZ0CKQ08Vgikw9a2tQMdGtNzSuIqu4lYQVNFYQhSRu7bScXU5UTc3+fsP1Hc3X37jN/nzGg6tPeXq2YbM+RwWJu24GIUHpCkqUqNW83hp347Y7UaCEwmxnnwdPH3BwVHN1vpYumlKsl2eUz3G6RWFNi9Vi2J43Ld04oYrGE8ldj0Pzws1bnK2X/PCnD9lZ7KJVYj11grVUAGLX1XkkJjApyGXWwCZ4Kt1w6/oN+uWKVRhkAKYSL9/YIyrYTIVWfpQpTnP/7JysMj4bsrHE6Dl+fn/rZonEaeTq+YDP8rXGXLDOMQ4BXQqFQCBhSmF3d5euW6JTYPn8AW01YwqZoiwkS11XLBY3ODt9gCrbqGfMxDiyBf1I4bts48vWoE1DawxT7AhToZTCrKkZvcdSwBjI2w4ZsHd0RJwSm3Ejwx3lmLoOM2tku50CY3+J94lp8OzPZ4IPrWq873GNdA3DNFAiJJ0hZbKGdUjo5AixEFE0aaQ6uEHXn5HRBK8Zh55FO8PHyGZaimm8KE7sSNdHhtFjSyDGwGa9waiAq3ZZj50Yaa3iN3/pLSY/8ugsEKLHp8Djh5+IbT7L71HWyPBI5626+N//11/6EK91xdD13PvsE4lLxA17uzuUdcL7SMmQVUFbS1vVWzucFXGQ1SxmjrdfeYG2anj3wydcrK5Y7O1grKY7PSMlaetnHylFMZs7ms6x6eQmrbUUnHQxVPMZOmQihuJgXjdspoHkPUUrwSjpjE9hm8cTlrWra16++SaPH35A0YWCJutCSYW22WH/+h7Pnpzg84jWM2aznZ8zixstbGqrFRebS8wzw/O+YohQ64aDnSNWVxsGm1hddrxw+zrPjy+YgtzQduczvnjD8drBXf756Pneo6eooiU+UQpFJUIqklnMRczyTr49OUVUVeMUOFsL+ikFru0sUCGxCoNgprQjlQx5S6FAsd5sAIm5uKolpCgZN6e59+QzKIm9nYq+F6ssKFZDxMwKM2OwRlFVWugj2qK1oAmVAmWEkyv5mCTZY2pSHiQ7mDIhC3qKILSO13csf+flGX/t6y/hg6H5s/tcffiM7352xlUQyZYqCs9EHAf6Dpq6RQeJcaSQ6NIFm27NH/3b3+Xo2g2Ojz9jmjqmoKicolawsJ9f+CDmQEgjzjku16eC8lKgKqFIfPLgUz66F/A6U7uGPA3gNcUWqtoyDR6TFVYZkdXUjoLwlU/WS7G0DoHleoUxhcZYfCq0tiaYkeXVUrKxuiVUCsaJl95+jQf3P8M6Sw6eohTPJs3/5o/f43QorPueokCjCH36OQpVq8JLd+/w5quv86++8x1B6FmDp+CM5ejgBqtuTaM11Ip+kAiCogICSmuU0hxfXPDf/f4fkArEaeKVL97BjwOr9ZI+jKisaesZR9cOOTl+yrPTczoTpPSYMzEU6maGUTXRQimRUmDIEaPBeY1DsuGqEsSOshaXIkFNONvw8isv8fj5Ey6vlpRiMLaiALa2jINimnpQHmsDbbvP2bKnsiJwS7qgEqhSxOybIs5VEvPRmrWPnB0v0TqIwVNLrCsqI2VFIrf291iOG7pJOiWunnHz4JCTqxNU1Ny5cZvnl8+JMXDr2j7/4O9+nT/65vd5/95Tzp/fw1YN2TQUH+W9XLcUAhZFCZnrh9c5vTzl5ddf5/T5Jeenz8hpQlGY1Y0Uu2Jh1tZMJZB95OVbd3jnS+/wnXff4+rqhKFfU5tahiNOY7JmGCMoj1aKYgqd75i3OzTGsV6vcO0uv/rVL/DDH/w7urikMgYfEqUoIp6CobYNF6sLLldXkuUPibY1DBNkpYTatb2sFhSrzYZClL6FD0zjiG0tWRkRl+SETxPaaj794BO+fPe1ba5dDm7Bj4QcmFULiT06y5gt//W3H5JnuwypkCZPk6W8C0KCUUWypbgigmSr0NqhHIRouFpPPDpe8Xvf/C6fPH5G2EwkPMMQCPkCcsBaJ8QppXl+ldBqIGJQRbB8MUZK8qAMuTR4H9FK88WjGdfnM/780ZJIoiiNqSBGyTSrLNGKrCSO4tPE7u51pn7JvWf36IeeEYUaB0qRw5zSQt5YzFusqTh0M164c5d7549Itub582dUVnB/KhZ8vZ1y03L7+nUePX3CydkS7z22UWDlfTpvdliurwh5Qvkgn/9qzhfe+GW+dfaHoAtWyWeXs5ZxTMzriqQyAU3JItZL2kL0GF2RtPDQ/RS3anuR3OmSqOqGIQqswShRzedsqFwlz7CCFBONvDebZo4tsPEjRit8TBhr8WGij5naOXAtlQ746GlsRR473v7iLc7Pz+imiZ98+oDj5zPG9UCH4dGzM1658ypffPV1vvXTj3h2OYBx4m/oAwVonGbRNPRDwFnohhGtNFXTcHh4k2la8wtvv84Pfvgz1l1P5SpiEQeBqWuIkQfPHhNTIRVYbjrqWqRZYURiosrw/HJJyBOtWdBPA2PqSUqSBCpnrHHE0GOtpRSDtlrITTFRYqJYQ86GKSWmcaCxNS8d7fDbXzqgQfGHPz3lx8/OmEIkZk3jHMMwiCl861Qog0cBStdYZRjzQGsaZnVNyp6gKtCKLmZyqXGuoLfxGpULaEM/BoZhLYQpVxPiQN22rNeXTGFiMT/EWs2wvgKjyEUO3JVTpOhRqaCVbLPrdpf+fEWl5ecrZ3l+lQwqa7QRw7KtG4YQGbo16IA18jyJZMooHaPGaDa9J5eIMbDxA7O6ZeyX2NZQ/EQcI8UUnHMMfpC4TjHEXvLzIYwEpVi4A+ZmzmX3hEknZjZx4/AG55enTH6U+AyFTOLZ6SAc/ugZSsYoRaMso42EbinvaRXQUaFK5sWbh7x374RRQXEJEyFlhTKGYgoVimik68ZfEWLyL32Ib2e76CIYySkElFEcPztHOwtaEGLKFEICH0ZqOX7KgyYKfeHtF1/EmcKnn51xngvDai0fEMjK0tYHhHRGN204O9tBK8k4hphpnSUjt70wrdmdNxRfmKbIVbfCVRplZWVZchb5QZSDRUj/o4L6anNJKppFO2fv4CaXyw1Dd0lRcHa8EgaycZRUUNnw5qtf5MHTe0yjHKpiziw3G/q+Y7jv0SkRzcjw+ApKZrPOfLJa8vjxE6aYKCXhY+ZyuWLyEGJmd95SYsQ44VE3TcM0enJKW5uiZ7VeEdY9RQnPugRPVhFfZLKntRy6f+3FF7i+u8+f3H/Is4tzbF2BgsP9WxRbse4/pCjNfL6DM4711BFLhJS4WC6pK8kuWgtKV4JXyrL2UUX4xgqonMJVkh8V3JrC6AJIjrxkscOOITImUY/7UPCj6OKHnFApQxy5e+0Gh+/cITzruW0UzTRt8ZiFxtWiQ1ctMKBrJSZWV6GYSH2SqJHOrJfHbFbHhFyojPCwk4/c2N/hzk7Lz44v8UFwdDElwpi20STxAIzjiFYJ01jSmKi0Q5WE0uC2kY2ZthS7LeGoIvGqkkmpCDbOSIYdMpeXp2hTka1i6jasrp6RceiUqJqaF194g2dPP2btV3z26fv4XJg7R5+luBQHz7ubgapusNWMUjJ52oAxNE2NnyJQcbGKfHC8ZBoGZpWj5Jq9pmHlrzB6xPuNrBe3NJ/WzilWg0qUkEgFNJbz0zW2cYQx8KOffEBWBbKmRANEduZzbt96mfPTU5bnp4zVQNKGumkIY4ePA1UaxVCJJhuHVomcI8O0wTlD0Y7gA0bB3NXYKhPHwrof+eCzTyloCg5UxvuJ27df4sbNm/zsZ++JEMQ6Uk48efaUmBM3jg5pbcv66VOMc0QdUWS0T2QMTdMweI+xBaXmBDxaafb2ZnTdRqRTRpOLR1cORo1SAWUMKlv2LcS2Zd2DS4m7O3N2WvjKa4esT+/x6PSczbrj2tGc3/7KX2MVW7754z9nWK2YtXNyDpQc2V0sODw6YtV10k8oUibNZSKEjNIy+Gic49d/4ct87+NPWIWJOy+9yF//rd/k3uP7rFbPCT5zMa5oq4ZpKqgiq+KQJmZGs/bjNr6mMAAGvF/y7HnPxq8AGRBYbXj97is8W56y2axx2qErMFaKbjcqw9//ldf4Jz+8zzLBNGzYaeVAYoumQrEew9aYLYx8342YekGlC8U2hJSZQqLr17z3yU/JBQ73brFcnTMGz9wtCDHy+uuv8ez5E9I48JNL0OsN3gdB6MbCFBMGS+1mgh+sWi6Xl9vOTUaZQIgBrS1+0mjb8s13P0RlGPMkOE/rKCHRVjVjThI1nCYCntpafB5xtqJSFUVnsjH0Y4eZOmZujyms2W1m3Dk84suLV7n38BP6zaUcwjKyQSlbjnrWWAqurlhfnaF04nx9Bs5gFSRfKMaQUJQSxJA9FkxreHZ1wkV3xd/5pV/kqk80esazqyeE3qMNZF22mxPDw0dP8EXY2GYLPm+tY3/nFrdv3ub9j94ljj1aB7RrWW+e8f5HK5pGMY5RomJVTbuz4HK5QRnNm3cP+Pobd/i9733A44tO+lwgRl4lefRIhgy1FphCUBLpyjnTjT3zWUvGSbdESRE/JhnwGC1cfO8HsrXkHCmIBTnFkcVixtAPglbcrBlTIOfCakwsmhnf+PanEukohkYrfu0LN7m4srz35IRkHa01fPjZBzw/f0RME6MGUqbSgj4NPrKMg8iEkO2OVhXt7JD7jz6g+IH3vv8xORm5LBYxald1S0xJsKJRkMOuqshGbznjEWtrDIUQPDePrkFJLFdrcZoEjbJSnm9nu6Q8SckxI8SYGInRY40jKYkBnzx/QiiZ/dkeIU5ULvHOC0cc1paHFyMnfeB8FUgl0oWMm81xxtBvNhhrePPOHo+vNiif0SpxOLvOC7duMdeB06sVx8sldd0wJYNWVrLuOZOSZ9HWDD5QW6GOaWOpmxo/jXT9Bq0MVVOJhGkSy6+1Gg0MIaGVxhfp6mUUumTGcb0920icMkwDoRSqSpwJw9DhXEX0HSlY6rbCoOn6UTayi0PpXoSR7ANVJUPEYQroohn9gLKyWXS6wtjMzmKXlIMUfIumqhRjhGID5MJi74iqbnl68ZBoNGnsoa7JFHluZPBaybmzj9hi2Dk8ZOxW9GEt0VcljZCgFG29IIY1VTb8xU+fsLN/jRISM5247BPGCMo0o0k+4LUm5YmmmkH5Dxynaeqabi0PJK2hbRaMWQqZroKC2aIUI5lC1w9Ys2XX5kI3aP77f/MXaBUZRkGTSWvFYLYik7ff/Drvvf9HKN3TDSuGYSSXgquq7YsXKbFAMgybQDGWtlngp15iGGRqY4lZUYwShE/RaANVXfHGy6/x8PE9phJY2B1m9ZyT6RhFwU89vY+UmDG14MTOT58xbdbE3JPLRGMdRVv6cSAaTQiRqnaYXJHKJPnVEAlRaAiCglTkoujGDX/w7ke8ee0mZ74X0kXIaG22X6PGIROwojWhJMgiYdC2oEPG6ZopeJSuiXHiPCe+8/gZ1xZrlpsVKUW5qSrLvN4Fa5jXczbThrHfkK2ibhakTUHbxN2X73D7+g1+/JP3yWSRKHmDbaUsbEyiaBEpSbEX5Kggm40St3ywLNiqMHV4P+LDhE+BKQemFPB+IqSJkhNPB8U3H6yZ//5H+Knw0WVHbwutc6IkViKZicZt8aOFoiPrcUNOEas1zjRCiykerQ0pBlIKzOdzStRcjSPxqlCUYdbO6fslrq6IMaIr0S4PQ0ddN7zxwht88vgeHrmgVltjnEXhc6b305YoASH67SRatg6pRHSW+EZVVahcMUwbUrayTQgKrROkQD+OpOmK/cUu6+Gc0ResrbnyAWMsJQRK2XKoS6FRDuMiMWpSyoQYqOsWn+Hy6hLr5ihT4X3HbDancjVhfcFlN6DrhjRO5FJo2oqZqwRzGbJM9JPkXI2tRaDhDKMf0bYiR48tkhs8vzpn9f77TCGhkmIZViwOrvOLr73DBz/9NusQCSoJXtQYgve4uqEkS1vLtI0SYfuzU1KQaaB16HaH/uoClJCB5AFasLrm7PySzbARyIuGWdswdCOVNcxnFW++fIdPHz+lhC01wJStVl3zwvUbnF6t8OOKmEeRhuhCKPIQn9dWeju14+n5koP5HkqvGQvo7Hl4dipZUzR7C8Obt2/zi6/UTOPEtz56znrVyXs6KtZe/m6m1sx2ZoRhidWFMQROry653GywqvDpRx+RUqJylhIdVaVAixsh5czZxTlh9JAVP3n/Q06ePOP48ox+HMkUGteglMZuhWCqZKFP2ZovvfoWHz/4kK67FP+Zq3h6+ozoR7SKKGMkGgU0bc1+vM7QJ24e3Wa9PmPTb6SP0GhePap5eX/Gj082qKIZvEc5Q4yJy65HOY2qtBhsY2Zv/ybGWoarc5qqJbKRbYd2KKv4R7/z9/jXf/Zt/sUf/B5H8x3euPES7z76gOOnz1n3ozDFS4SiaIyhMjVTidjaYlLB6IgzhdooGmtIFErWZB0pUfHyrTdZj1c8fPIpGYSIQsa6mdixS2EgY42Mu4w2lC0yrjHyYHWLHbrNFcH36GIoxcrhqK1473TD+xdrXnzhberKsiGhohbjqbVMaaLdmZGCIowbEuBqEQgGH4hpwloHWjbJCYVViv3FgvPzFfN2wSYoQhr59PiMVYis+hXRy1bbkohjYbF/k83ynJI1deswGOaza9zY3+Wl69f5kx//mCFNXDu4wWK+4GqzhNTjlGW9WqFzQSkxLl/2G1b9hrae0SZ4YXefGwe7IgCj2gIKBA9Z25qEIfuB2jmSiiKtUhVhu/EyTUOMWab0GrwfcdpQWSdRwBRwlUPpiuBHJFUnUY1UMn5KOOOkZJ3BGAs5Sq8sTEwp02x7Y7E4bjcN52FJiR6fA+89+ZhcIOuI0zVNZYhTZgoZlMEihDntLGkSXnfJgWF9jI8BrR1DTlhraIyj60Yw4iWotGMMHX7riihpwjjNNCW5ALqGw/mM0+UFvu/wZHIpvHDnDdr6FmfPfsib1/b42fEpqxyJAWw1QxmFDhJBlUJ/JR0EVShFJvHZFC42mX/70Tm39mecDJl3XnyFH9x/wml/hdYwbgZi5aTga+DavOGzkwticsTi2TvY5WxQ3Dt7QNf3ZBT9uEHZinFcUjuhu2Uy0zChjSYaEfelZCjTiM4QpsDi4JAxbwibgZgzWju0A1c5pjjRNDWv3XyJZycXrDdLSikYq5l8QikDCgKRqm5FtpdBkfFhoHIVTa1JOeJTom5qpjASY4ezNUUVPAntPXy+pdp6YgQ9qYgkfNa8cHSdFAuDf4iKkd4DOZC9xtYNVtdcXJ7Tj0sqKzG/ZtawXJ0Tul7cCdpgZzXaVihjuTiXM6KrNClGhknMujs7FVN3SQqZ5vAAPxXwhaZ15KDYdJ5mUZN9pOs8WhmClr97qf5qojTw/4fsqW13qK0hlkJdtdS1wVjFcrWhqIjGibAiwWzvkNAPFD+gjMKnSF1VTJO0cpUSLnyOEa8Sxhq0a3GpIaQN1haca1n3K3nxtKMfR2ztUKrgqHnzzbf57N7H+KGjrSv6lMWMWESakk2R7UCpiCmSk6dyLSkFKdsWsMZs14hS2Ek5CX/dQhwmtDbbdRE0zhKyZTab0zQ1m25JN8hN6vPJiLUWP0WsUyQ05CKZfAtEYaIe7B+xGXuKhmHToZTCKKi3/PuSwZeMhJgDtrIoZbFkeYihscUQVZLsb0hoV+G0peuWKKuw2rDXXJcIQZ4YU8D7kRwzzslNdta23Ni7xnxvxvHFOcEn9uc71Nqwf7DD7sEeN/ZnXD884MbhAbeu7XP7+jWuHx2yu1iwUwdmVnB/Q79htRk4W654cj7w5LzjdNVzdbnm5OyM52enDJuB88uOg7bw0o7j1caxDopPuo7LFDm+3NCPgappyNNWEFLVVG5OjD2rscOHsF0/yZRcqyxrr5wxOpKzwxlLTl4mq9bJoTiOYp5zLcpqbu3U/NqLR3zz3oq7L7zBpw9/yjhN+FREia3AqIIxsiJLsZCVpqCoqxofPSC39TTJ1MI4S5omlBP6a8lGHhJOQ0rcWuzzW7/8Mp88XXHcrTi5WmKiQdXb94USa6vRmb4T2VFVV5A9YNid7zKEiTlwfX/Bo9WShCWXCT9mal3Th7VMK9FUzuBDpHKV5OK1peukqLVwM5IpktOOcO3aHjvW8mwl8qrK1XSbtWAftUbjySmQFVS6Ydbs0/WXRApNZZnGUR4AMWGbQ0KOVEVEPCpmmVyYxKKdi8W1CNmEDMVkUgpYNLP5DXKayHi0g/Vyw+ejMWMsxogUp6pqYorEceuJMJCUSGBsbSEVJj9SVy0qRkLemn4JqFxEqx0jlXP8jbfe4J2be/zjb/2IpBpyHMlaszufc+eg4Tff2uU//+qr/OjhOb/33WfcO5+wpkGRiX5gOYwYq7m2d42nzx/JCj1m9DbHrI3F5oBPMHM1X7x1k5PVJc/9SBqjELCyCE186MTWiNpm0h1lksOotrKJzD7gGkvVVKio2GnmLIcV/ShipdrNtn6DUTLJRaI9xqqfTyGzghICdeWIZSIlyWvf3tth8J7zbiAXaNsZMXlUEeNitgW9FVztLub46Mgkun6JUVC0wk9iJnz9pVf47a9/lR9+9AE//ukHGGXZ0TNW05IpeFl1q4w2klUtKXOwu4dShc3UM03yGT1rDGPI2KKZtTNCSRJ9wZAx0sfygrlsbMswdWgFta0JcaSycwqepMQ14WMkxETbtKQSUNmSSyDGiDKWRWX42qu3+f7D5wxTJqlC4yymqrAp0hhFU1WcdZFuXKFcg9NOehHR09gaXVlG7/HjiHNS2mM7nTba4Kx8NqSYqGyNtgadMkMc0UUiN1kVbC5kZzBa46dAXVfs7+1ysH+d0fcMmxW61JyuLikp0C52MU4Th0AcRrKVz39ToFnsMQ4T2mSGcWS/PWRnUbFjFDd3HN9+8JQpKQoRbRz7813KlNhMG1Ly8rmrCkVLCT8XmcKmHCk54upKTMw50zYNecqEEqhmDSl6ctQSgyNQmUbK7wC50FZyUEu6sLOY0296jJWYU/CRup7R6MLKDyxMK9t4pENQGYPWmr7rRQpmANeilENth0JVU3N5dSKfN0pEeKUEgpci9RS9IKynQMoJV9eokIlFkbXHKINT1dYQHbHNIbqMZBKzuiXGwp27r/L4yX1UCEQUbbvDl685fudrX+J///t/yrOrnt2Dfb72a1/j+PljPvzwM8o0ScfNKlKMLOoFUWX6SQaClSm8dnDE7s6cR2enlJzZ+ILPCVVrxo0nEwHI0WOUJlcWWwwheoxqsTqx21hCKXSd4DdjyduLkpH3tCnYpBm3G3GMQisrhvEkr68ympQKKkdiHtGqQmmonOCwv/D2W/yjf/g7/J/+m3/Gg8cPKSTCtvxckhWiXqVQOaOrhhgSxsn5wSlLDJ5cNHduvMDR0Q6ffnyPZAthGkkqUTmDCgVcjR8Dtm5EnjgFoh8FhV0bTM6UqDFWUSlF772AP5wMS41xpGyIcSDpTNtUvHL3ZWLRPH74AD+OpCT48XlToXQLVU03LdGl4LuJphYSz6J26ASpaK7feolrR7e49+A+q+4Ju7tzLi9W1LZGl0wfBnb39ggJus0GrML34/9PmdNfqexpf7FgtR6JJVJYU5JltrsjMQOfSCqzt3dIXTccPzsGFM5YXK2Jk8h/JJstOfCUBElXSiZMCRsLehaIwaOCQeuEtRUleEqGqpZ89rzaoZsmjk/PyEmBsuBqXPaEJPi2GIOorG0j+Mgs6MFxHLcPfcFM5gxsRUrOGFQSqkoJRQqNWUgrVVWjjMHWiqgCB0fXiSky+QltLJUz9JuRWdtSKUdQmmHc4JQorxWaUOTPXA4dzihiTlsE5VbgYuSDGq0kd44m60pWvyETc8E4RUiJgMgtUpYsm62F940WCozSNavhgqQUOQaRpthCMQWtYNYuyMDJ5jnVWqPrhpICKk/curGHcRlF2k5lxBgqU/gtFahEcvRCV6BIkSwnQsiMMeNjIgVPTIEpDgRV6LIHGzlbJTZ+4oGSmNNlLETv2QwB12r6oZcH/s4BKWXuvvIyH3/8AZpI22jGIaNyxjhNMUBw3L1+m8dn98kqiD2yNnLwS0kuRFqLKKokSi4M48ijyw7l4KcfvcdsVmPxRAoFhTFKdNJa44wjp0BtK2JGXk8tH2hVXeNzplKWKWaysVQoUvAUa2nmLclPaDVnSPCDTx7z5Gy1/R5GjG4hJObNnJQDU5yEW2ydPEBSYm/eMF/scHp2QS6KX/nCEb/26l3+6z9a8axfivfAGEiT+AVSIZeC1RW5JELwMj0zGas1JYu3yseM05piM8PkSTFvFdmR1XrAbJm9OUJEoZXGNQpHg889rjbEMdBNW6xYUfLalxVNPSNNFd6P7Mx3sJVh2CyJPjKF+PPpXO1qioP1Ri75fliJRKsotJWDpbFbOVTRxCRZ5WmaUKamrR1THNDKUBBagjGGlAPzxYzb167z4PEJOcq/85P8/7PWzBbX0Epia5czRasVkQl2W/p+4mq9wRXPn304cXIR8bHQD4lruzOKq7k8v6Rt9jg+X4HNdNNzdPmch6zRRaRJqURCBm01pMgbtw+5HK/IXaauGuq6YkgdPvUYrchhe0BSGqMLqSos3IyuH5jPWqgdMSb84MkZYho4uvEqTd9zdfqUQCfmwgSuqQQtgxzOKAVVEq7W9F504cYoism0bcVJNzFOI5mAMTUxBFLOVFaiCWqLixWBzgKtIl23wWnH7nyHZXeJ0QqjFE+eHfNP//nv04WJnCClDZd6IurM/twyZChZM4wyuU2lcLXZbEV8oLVlVu2RQ49VkWY+51d/4XXuHx/z7OkJupkThg6VEs7NCHEDJdPWNfPasZwmorUoClY5fOypjSNlveWd+20+V943s70DTq7OQTku+1EGMBnQikzBkrk2N/yjv/aLHC5q/ps//YT3nnRb4oTFmJpx7EhWcKslZ5xD2NEonGswOWN1IW3jqNZWW8zyxOQTIUdaVzGbzZmSJ6eM0Zr5rCWGKxY7C375i7/MV964y4f3n/C993/K5XpFVTeUBH5Yk4cs0cS63pK2FLHAZtNBSZgsAII+dHTnVxze3mN3Jr0GlQqVM1TaorRhoJPXSRsSiZIV1hSs1ZSgwWpKSNRNQywJZxUqKeb1jKtxhUIRvaAsIZO00LMgoVQSWpNTzGcNPniJ6aSMjyM6ayrnKM4w+YGAxlYtdmeP6epC0IwhMfjMzLUSf1UQwhZCoSKlDGAC/XJFSUmMv1oOjMYqsIriRM4XQkRvh2I2OYIaMVqUDwqFjx7rnADvKcTkBYE9TaRieX5yQqU1r9x9hefLK5brJT87Lpz88Q847wJt61Cp8NGHH7Jer8hJRnJOa4IPzBY1PohYTalCSp5sLeexcHE5cLHasL9o8cUTEpSll01/UcSSqW0NRhNCIhUxzas0ElUWtLayZDxKb4d/XqRfKssWJSpQxnH98DquXfDkyacUZaiVDDHj5Ik501ROpHFJtp++JGLKPHj0lP/r7/4eD589oZrtyPdxsyIbsFZRSNSmpmobhi2OWJdCxRa1aAyNgtPzE3rfk5KmcgpVGXKU562xM7n4q0CKhps71zF15OnyFMhS6q4txRpSzKyzB8TkOuZEniba2pFiD1pRoVEx89n9h+wfHvL1X/sN3n/3h5wvz0nGMpXIvDI4Z1hfpm0/S7L/bdvIBiMlFvNdNuslO+0e3fqcnDXrdaaqnMQ3UyEbxWrTQxHQgzULUB5K+ssewf/9D/G/8IWX+c57H+GiI2vJPvrLNXtH11meHlO3c/w0gU4So9kKjnwI6IzERBRyVVbyheeiMMrJf8+JNNVYbSkkRt/hQ4Rc0CbS1DXRJzaxR9uKq6tTwjiKca9XSClakXLcGiFh0cyYxp4pRlIqWG3FD6YUOQmn1PuIcZacMpWCoSCoPK3JRVFVFqXA2YphHBhjz6M04dghZy2TWxLzecOdW9d4dnyC70fsNsddssHqGtckpiiXlJltCX6EAtpadDMjDhO7VUtxhnXfgZG1pt/m+SVnWKiqmlwixcujORPIQeGqCpVrUojkMEGOKFOhSwY82huMscQM2sn0X2UjxVtncdpwbXfB3/+lm6xC4funYKzEmKyRApfR8rpKc7+gtXyQjj4yhcwQYJwi3gdCiAzjRJgC0yYQPQxe/ncI0KlA1IqsKzrfEXUmeYXOlv39GdXccnx8wqMnn1FSZH93j8tVj7Uelx3vvPIKl/6KT4/P2YxrsSoqydqNPmKKuAeMVsQx0TQzSgn4MHIRNBe9TGYqZykoQvRMIQiRoyg5lJKkTOo0ISqUymKPNVC1hs1mRWUsIXtSFDrTlCRaRkqE3mOspajAEOHBSUciC8IRSzJC+khe/llJCZ8zrRMc4JACX3jjNf7213+Jf/xPf59NF+mi4l+99xknQwcoKusIFMm7K0frLKtpiY8ZTxI6SfbbnyFNAfok2y+yJufMuBlxR/vYSmI1qihu3HiZfnlJTBvWw0Qumro0YB0+9duolyFOUWIhMUAxKC3EjmpeM6WJ0U+kMVJpI86FUqirBuccIQ7ETUAjU+sYJiHjFDDKUs0d0zRtvQjbv2sKWAezdk6KojGnOHL2QOLQLQgOcsyMYy8T4sqi0LhqQQoD82ZB087puokPz1a8+/yKiOaFBfzOl1/g3z1Y8vByYj1uGE4DF8vAYlsy38SBq00vUzm7pJjtxbkgkYkopVuLJnrZ2IRSqEkErfjd734f2zSEADevvcjBtT0uTx9wfHaCM8Ld9zGSQ2BKE1iFURmDYne+y/7+Pk+fPGIcJpRRhBC4OjtHKw26IeEpUabYumhKkmJYxhJLJpUJPRWUMlIe82DbGalUpDxQNa3g64oc1nSWornSyM9YSczn19jZe5nN+imqXPDSC2/x4tEe3/zht8QXojWlBMZkKbqiEIml4Awcti1/95de4C8+es7TZcC4SEkSK3SuYhxHqroWBJ2KeF2oqDHNgk+fXjCu1mA0Kkh500d5VsytFChnrubtl17i3XsPKENgyj3JVoCWoqXTOFWkhJ8Ns90ZzhhWY4/JmX6cuHc1kt0uKq8xpZCKJUaYu5YvvXqDW4ctf/DupyzOZ6xGuZSmaaK2Dj/1YhXWit2dlq4b5MJsHQpFCiPaWhwanxNRyWDkcyNlyom+X8vhJQXm1S6t22VdVvh+pH7wE762F/n+/Ye8/fqXuP7CEd/79o958OgjUgkUq2ncrpQEkwxgUkqYqshnWyoUlcmlR1U17z+55JOTjn5bTI9Twiwc6/WSaZKLpastIQhgwShD2YIYVErMZg1xEseDvLdrunHAzWpyTIQYtpdHiV3GUrBGvt+qaOatoakNy26goEg5UBmHsRarHT70coCrFDl4VssTUE5ieMj2x1jpadWuoptGYISoiTlTUkZZzZ5d4EskpiyUMlNRa4kmpVSoTY1SkTeuHfHSrOU7x6f0Octl1ns0gmU2WHy6wupK+gHBE9NISp6DxT6bYUXMicYV1sPEakqEGKmyxfuBKYyULM8X42qMtjjnGKdhK6+UAq4xmhAzs519amVZb87IpsUnTwo9RlvefuU6PiQ+fnwKRaGUQWWhHxltiMqhmDjre9nCWUcIk4gXDUL4S2y7NgnjFG5/xuZqSY5JNs0mknWNqR1VzLTNjFduXef4yTPW0warE7Y2dN2KR/cTlbGsuw6DQedCVVX03lMr2axENhweXeP5sSfHjKoU0zBg5zP57O886+WlCLGioJWzgdrOUaUwJoWyDq1gSCOzylLXjhjEjVJilGGPViinqE2NVop+Gqjqmqzk91lbMasrgk9kVUibkauzM3Ip4kRIAaUsy8tL0IpiEzqLrNAo0EkTfUS5CuqWk9OnXGxOKCGxs3eEj/IMinic01y7cYecE+vzM3Zbx1UUmdRfxa+/9CF+Z15zbWfB2cUVd2+8wNnFFd00bLPoijEM6CDc8aJAqUzTKtZToqSCIYtYJ3piSrjaoa0c9kuWQ/JsXtFvgtwmFShlcLXFVBbndohlhfcDJQzUrQUSs2rOyw2chkiU0bbIVFLi9OICbbcfOp8zBZWSKE9JBB9wVhOT5+bBDrXSHF91RCfYIyMwJPngiZFmvsCvL1muRrQaMdoRc2a/PUSVyL3Hx5QcsVqh7YwhCB1HlUBbCUtZ5cxmlHWw1vLhtmgbXv3FL/Hk0VNOnh9jlGFWz+iGHt1o7PaN3nVLYohkEkbXsgVB4Yzj5VdeZbm85Or8XAoow4jNmqpZMJZEDl7iOkaBElZzociE0CdMbZiy52zTc2t/l9bKpK8UeYh/jrLMOcvtsSRSkgiFj4WQDGNS+CixphASk/eEIpPFnDV7swMGtWTTC/5TWcXe7BopWjbTJc2sZhwzJ2en2GVPKYXzy+fsNAvmi4aLq7U0223iztEu6qzwWThlSCs0ELeGUqUK2jn8OEmmuJmToqjcwaJKxjmHD5GMxsft61hVVFbQiT5m9qzlf/GrX+aPPnnMZycbOQAp8B50thjVQN5OuHVBGcXMNQxTAiNkj5g0Jsg0amf3gBg8m81KgJFBU1tHW9dM3mO0xjiD0pK532sPuf/onD9OP2G96emnib/4dBSnQlE4ZQgBIdwUeb2Ly9hsKBlmVQ1ZM4ZJjLg5o2txDNT1LiV5opW4ynp5hcpbqkWlmDdzwjTRXy7lfVoUwRdcrTHZUNc1q+5qS8xROGeIqdCNI9obKrtFwqbtetJK1Kl2Nfu1Yj6bcbpyLPPA9drx1bdf4y8+/JCLrkcbh7UF7wPOKiiWul1gjCVcXWAUWAx9SDinmLUt/QApTZwvL8GICGszavBFOO2lYF1DiD3dOOCTTEszRQYMubDxFd+9f0w/KpTV+DEzxYJPEz7IJ0JUCdfUjBRS9uzO5oSQxaJKwSnhaE85kELAWEONQmPJMeNzJI9Sxn1++oDVZk7XXZAV+CjFfYoiKZjvLNAJxpQ5PDhgr93hyeOnOFdR6JiGgnaGMHbC+1Zb6kFRaMP2YVZT1y2b7gqzFT8lDMYUGWBoi8mGpt5hNttDA8uL5xSiyI8K6KrCBGitYz315L5jTO8xTbLOf3rykGfHAhOw1mwNyy0KQ/A9O23DJmmU1nQl8Uc/e0LvlQwQKkc9s0zdhKOQnUaViVgg0LJ3sI/VNcOYWC49+7NDotlITnYzYZsGmzNEg9WRbBI//ORTppSgZNmwavnozynKAbYSey8UNsMamwxNM4PZnLrdYeh76tYwszuM6xXRS0zu+WD5P/+r99k9qPj4fKDvIrkE6nZGjJ4peKwzP48qhCCr9p+X/1MUZGkCq6A4R0hScJ4v9ojDBmwkAHjZ6GwGObwr6ygZztY9T88vWRzs88I777B6/oDLq+OfE5gqZYjjhqaeYY2i61fUzm0liXJ5Mcay1y6IRbPRa4YUyUVRK0soE33XMWtaxqJJwiclK42zjoODG/TjyNBvRF4zTSgtkZhhDMSiZHqfDLdu3ODkVDCvtjWklLe0jihRDa3px0LXXciW1Fh0MfJaEQg5kRG09S+++at89vQDNpslbPHQ20od2igqVzN6kUrmLGcAkyNlGrG0TJUGW5Fjj7F2m/vXjDFiXUUxAa0zry4cf//t27x/fsnGJyS2FYBM0ywEb9tP1PNGLsvCmAFduNhcUJnrvHDzDg8e3kc5iyojlXFAxNkZSkViDBhb40uiImOVxtlGnsnGopQm64QqiYdP7pN8wChFSBtAOPu2wH/862+SU+L/+C8umEJBJZnii3ne4LREWhQara1ILrMjZpnWF6tIQcg5bSvSyMunzwg5oQwSwywGlYtgpEms+g3pDKYkIi5VDCFEilLU7VwuoGULmmgqioBKCWShAM53Wa57bA0lakKQM4LKE5uQKUWs7ZVSxCx237qas7+7xzis6JcrIFOcZT2uuOoirXUY21KQ7ZVTCkUkF0vwE7Z2uMqRosA3Si4wCgayULF3uEc3Drz72U9IUyTGQrtoGAfp8WmlKQGydsznDU1l6L1sJgiR7uoYbRI6WZTL9MOSGzde4+1X3uYnH/yQq8tjdBZzNmT6aRSrrhYQy3+wQ/yzkyXBg2vm3Dw8wk8dKfWYPFFyQKeKqnISY9nSCyptpGGfpTBkjRYFNkWYzZUUMJRVpJTpNyKQiiZTfT5BUJDHwGJ3Xw6HMVHPWlLy7B3scVTt8Zt7lp94xfef3Cdlj/ucUENGAcaqbcE0kiLcvHGTs6tzopbSm8qFq9VADAH3OY7SapTJdMPEfJsNvX14wDSuqIshI0194wxaKWIEozVTUOicsAVaXTGoiQz4bGRaq8RsWtWCMvQxEKfE3M6ZzxbI+kezt3cohVg/UmLAxyDTMMrWIJvJBZxryaVw//49dIxUqmZa97S14+tv3eFrL+zyjU+P+eAycra6wpSaPVehrOVq0+FwaDQxWs6WPX/6yRU7OxnjdtltBYOl1Oc/BSK4UDlQcmIMmm7w+JgZp4l+nBhGmcqP40T0I33nCXmiqAmfLLWdsaSnCwUTM+N0IYIp6zDMmc8qNvEEn0bZyhTDGALH51fsHe5zeXFJ1o7f/8GPZXKjFClPYsBD0zRCjyEHigrobCjAFIWQUjtDSpYQEtoYStH4kFFugUoTzWIfGyb6zRXazfnw5ILL9QZ0kklBhKad471HabHj2qpiHANgaFHMTWHKhRALmIJyhZx6jGvZ9D2hCJLQGo11FT7n7ddXqGtLPyZhVBvD7tGLfHj/GVEcUagYCIjRMmYh6aisKZVjXuDN/Tkna1jmQlUM+4fXebq+lIl/CJQCKWY20wWztoECoSRskaxiRgg8Z2fHJKVp53sQ1qhsiBRW63M0mmC1FIBUISfwPqG1wlm3ZaxHggZSYb6YkaNYHO9cP+DvvrrHyarnX1+tmM8s1/YWvHBwhLUzmkoRciAHUc6XrLG6Yr26Yne+YO4alNWsN1fELX9+HDtIglBEaVIUwpQCAiM5Fho3J02r7YYtEadI1gmwGJ2wVcVymPj+acHoCoKsfGfOkXIm2ZrFrObk9AJrFUQxDWZX2Dk4pDWK4+fnlCysbFtZdNVQm0S0jhLkYZ23+ESjCiZHnAS4oMhaO6uCLpqmari721LbGcE0rPqOTx58QiyBWTUTNJzOxBiFMBMT0FLXLXGbqU0poXPEOiPMawwxZoxJxMlTOenbKJVYL5/j6pbKGvbmuxgSl/2GGKIABZTgQ7OFbBLRWnIsuKTwcaAYjY+J2sogJYUebVpq64hFohg+TJAs5z6gMrhK+NU+K7IxDGHCaE3y4BpLbaVAN9vd4+BmTascjUqcTS0XyzWv3jni5f0Z3/jkMT5ljG64c+cup6dPyeMKnwY0huglU1uUQilHyoqbN47o1iPjMFJ0pvMbdme79EOHIXOtUhwvRxoNEc1vvXKdFsu3H53Q3fco01CcEytp6HGuxiByMmcdWUHfD8SSaea7qBgxlVy0NICCX/jSLzKOnk8ffMw4baQUah2ztiXSy9BFV/gp4BDXyfvrkf/qez9jqhyzR6fMlaHrPTdvvMFy/YwwTSSdmPo11mgUhmZnn816KZQVA1pprl+/jZ8SYxpkQxYTxdXEVJhbKalTZNKdS0CZmoTm+ckztC3szhb03YgrkDGEkCgpEQgoFConTk+fy0EMzZQyxCxIWCVzoBgDJcr73NqGlD0+emploEBU0NSOmCOPTz4jemjrhhsHtzk7PaYrI9YaVusL3rx9xPO1pus9SSVQCWNq5nsHLIcVetu70QZKduhiCEncA7PFHuurC4rVfOPhBT88ueQiyoVnb9ESrBKPTVPzq7/8q/zgu99nGDfkXLC2lehOSmStGIfAxdWSoQSZmFv381Kzj5P0AY2DnFA6kpViPUTmi2tMw4aYE4tZwzgMtIt9Qj9SCOAc2kLNDGWgX635vT/7KRBpmxkxbxh9j1YOLW0DbGtx1FAsBE+YJox17O3tMXYrphBIJXP95hGv3XyVH73/fVKMtNWcbBKoglMKpzQDhRADrnV4v8GWGqo5r7/5Np9++DNSiJwvl1v6UCaoikaJN6ZuKsiRmJHXA5EEZiUmXecqkhf0rjZGupcpE7LCOUu3WRK9bLqUVoSYcUiPaLO6RNcVYYjENGGsJRGp64Y0BbIyRB8oyPa5sZUgVcNITJm7d64RU2aMEzFkEhFd10whoOsKVTJ52/lqasPf/1tf4/adff7xP/0jhr5nt26E6Z8KIU3konAkpn7FO19+h+tHN/h//sv/O8vlU7HFZ4ENKG3Bf+49/vf79Zc+xN9/ckZT77Bwnh99+FPQmZASJUjxqqkbjAJKIussOls/MGt3GVIvhQofyDlsG+iKHMp2lWWoqhmDH6SmoQA0VaWZpohShfPlPWx2XN+7jmn3Wa+eY3Ji2W/43fMOjJEVbG2JPmMwqKqmQqaaunKYBCUnlv0S7TQuVfg40bqWfgoi5DCKdrag79a4oqkrh0qSqT05Ptk+LMVimnWmVprKFH7l7bfQOXLv5IL7T57hdaIkhdUV3g+EEMhFsFS5RMZhRcFg2jlDnviL731L1O1JktnPT59zsH+Aj14eogWcbYlxYm9xi5I83SAP2UiUKVtJZFcoCnZrzT9450X+xi+9xDgl7l89wxQFJbKYHYAqXC6vKA5ilnVaTA2nnZBhdneFQ/M51eDnY/mSyMqSdSPxoCwTnn4YGEZPCIGYBcGYgiBAo5/oug0hW1QJFK0Zuw1V1aJ1BKPENDcl6vkhe0d3uTh9SIyT6M2rOUf713l++lyMgDFSVU6a/dYQhgmNTBlVTJRSiCFsMawyBVMKXC183uDFUBdUZMcVSrGYqiWPkZwmKaQqwwj8u0+eU4qnaEfyEeccM+uobUPvB/w0kXTGONAxshkmKBW6bah02D5UDTFnTk/OBMFWoKlFRDaFQCGgDWAMk/ekENDGMG9bTo6fEMYVPkWstagMNSIlqqqKunJM48TCzZnPd7mKHdEavnC0w9PTJafrc2bzXUrUrKZjQFat0lRLtG5OKUusFklYCpGEJrqCMRXOQAoS51C6oJX0SbZvdRQFY2pAIlYFBakQ4jZWYA1x8rS1pe86Hgwj/+TsGUEZNuNE0Y4nacP/+8c/4XKQPH3oB7RSdD5vVdwTRimmcaSylnGMxALGGLQthBAwRuFyxumEc45p9KgsqnCU5u7duxw/eyzWYwq2Mhhr0dpxc2efqDXHF+fk7KkUxKIpWpGyEpKWhq/+8i/xp3/xF2gl+FptZiRd0V9tGB0c3brDenNFf3UG2+lURNG4hlWU/gIUdC7UquYrd/foi+Kz0rAePZVRsiGwiZ3FnLY2DGPPxfISn6XcqkvhaGfBK9eu8ecffUjOVn72jUSjNA5XNfhUuH7tJUrqOD0/RRuFUkoihykym+8BEuEKKYsQaurwU6HWDcZASJG6siSkzzSNE9rIJSuoilC25l6lKXFCaeThh2J395Bh0wuJ0cjBIirQFCnUxbCNptVor0A5YdAnz/5Oy9G1a1xMA/PDhju3bnJtTzYR+CvmyxVZn3JxdslBu0trLTGuqGe7/Pqv/TV+9INv8dP7PyZvOczOyIXTaflsjMVyebHCuQZtHD51FA2XyysyhXlb4ZzlzWtz/sGX3uKPPjhhGiJrnelSoR8KezuFZJRkq72CGAklYJ0jJ0U9V/RdwuhCGcVO7tXn/QShTX360cco05JjIqURkH8/jhsaI9ntssUZpDixO2t55eU3KD4wN4nv3zvmsmSqepe7L7zI8MkpMU4ijpKfcozRVCRePrzJk8szdKNJU+DJ8zO5aFqH2k5jtbPYLEQOpTW6SPytlIItidl8wXIzQIl4MvN2jg6Bs36UfDnIZnsKzJsZIUXcdhhXlIOct6x8xTgJGabkLIhPwNoaWzJohcNytLNHH3oW7T5f/8IbfPr4KR8+eUq/XmO1wWVNVRyoxPPlhqMXX8Y+v+RyfUnKEVMsox5RGmwNaQiEmLCmSCmzgqwh5YBzhpAzbeu4c+cWw9MTfJw4PLrF5fkJy9UV3vf86EffR2lD2zSsu5HF/ID18hw3k+1OnzYsT9fbLo9FOU0KCa0si9kMhcXHkWEcqYzEX62psaZiUiJO6/q1oD6niRQnjLMC4Ciw2xROrnqssjx7fkVTGe5cu0U3W/Dw+XO8D0J3QqPGiKsdtrJcbq4Ay17T8nd+5Vf4zk8+5GRzQZ0Sm+UlP1leSBfG1fSpJ5ZEbRs572iwWELR5KCwdhu71PDo4T1UZZimnrpIbFFZTYqeg/0ZtdllGQX2cXp1wWZ5htWa2zdvMk0ZH5c4rSE1VMYy5ZHNNAAGjCYTUDrS+w1ZV+zs7xKVRfkkwAmtCROENDC3jrEUqqrFT56SYLHYZ5rWOApDFGLUfLHDEAQRvVlvKCWTpkStNS/fepGrfsPJckPb1kIyi4HGNLx+63Vy1Ax9QKPJuTCEiZC2Z1plwQeU1WzGJT/60Xd5/YtfYv/oOsvzZ0w5YHVFZR1938mw8a/gl/7L/sbN6pKLi6es1mumVBiGKBzrGHC2ouRAU1n+xle/yu5sB+cqVLG0as682aWdtdy9+wJN3ZByQY6eCedq2nYXZTQhRoyxVNZhlSXHiLOSNY3TREqFawc36Pol3XBBN67ZpA2pARqDqStpVjtN0Rmti9gHEWZ228hqWduaFEROstPOGcYJikxCQ46sNp0cTotGJ8WQFQmDwlKKRjVbJbmSNeEX377Df/rb7/Bf/sO/yf/8736dV198AaNqQg5QKaq62m4GxBqnNDhXU89nvHLrNn/n17+6/Vo9BdCVwaeJhIhziiqkLFxZCgzDkm7aUDRSGFbQuAbjZLWvlGE9Zr7xs8f8829/widPBy6WG2LJTD7y+Ow5q9VKVqy6ULSQErTVYCM5DuicgPRz5n7OScrIOVGKZkyKkBQZxegj/RToxok+TILbmibGEIl5YLPpUUkmfpOXeMXOzo6ws20hJI9tWgqREieIBYvBGYPWhqIMhUwOYidUSg4XJSWUkoOExkEp+JTJyKHdaMtsVmFMFK5ydvjJcLh7gxs371JrwxAGUvZ062OhVcSIKZBTwiV5gGGUEG+0wdo5m2EiJ4/eSsjSFMhj+fkkGK0oMUDJ1E1LjpnKSGxGFZg3M5xxMpUrCVUiaHDGEb0csut2xn/2n/2XfOWX/zrKaiElZYPPmozB1a1MarYEmXEambLH7N8mmz3unwx02VHsjBIDy+6EGDxpa1bFGFyzQ7N7jRw1IRZqVeFUoakR/nrYMA09zrXMFjvEKNNupywxjmhTqGczcvHEIFMxlEyHs9KAISfh+K66HoxionA2eJbDSFCarDJD8Dw4e07OME0Dn6u9rQJdMjFP0gOJE0MYUAh/VylFDHJAunl4HePmFOW4fv1Fbt+4QzGWWCCjePD48f+YZywJtCYGoFh+4a0v8taLr0iRNCVSSdjKUBm5fA0+sOo3fOsHP2a52TBMsj20OTENK4a0YRw9p8+eMIwd1azF2kr+PApFRZSpQVmcrihF4RU86CNPrgaiz6CzSIOUwdqaujV8+njFKrVk2u3GSyIbl6Pn46VkNTGaYkQnnoonpBEfBkieMYyMKIzRWKuJcZLfrw3NokK5wlR6UgmyudJS9g9pYhglTlfZilnjhIVuapRyhFRYrwZCyPgQscbSNnPAULJm1u6jS4OP8nkwbHqUdTR1hVeZWDLFyCFnPp/z5dd/iZlrQE2YuqY3ilW3YWFq5jhuLWZ87Z0v8z/5j3+b3/jr/xGvvvoLHC2uMQA/vP+Yi8s1IXuWm0v+4A/+OY8f30MrR200RidC9JCL8Lh9wBKotGUc1gTfkWMiR40xZpsfNDzdDEDF7qyhrgrvPl/ygycnrLsVVSvr9KFfgY+MQ5QtgrGylc2eELaUoQSqeHZ3HS+/cESK4EMmFUBHOn+BcQ6Ta9nIKMvRzh3GpCkaWtcydwu+8tJN/ou//SXCODKMPb/y8nX2Z3LIWi3P+f6Pv8F6s8IaqHXF4c4h7WyOojCvHC/ffIGSE9MoJB/vO3L2TN2a4CU2kGOUAniKjH6kIIhIozShZAyFxlWYVEiDxB8ufZD8fi5oLRdJYzTJGahqtHEUpcXkWjui0qRssFWLMpaqatBYQp5IKhBypqkb3rpxjf/8nVfZM4ovXF/wv/prd/hffv1FDuaG0/6c82ENQfM333qRt2/uMgSLY5eqnaOJcvEmo01mXjl8L9GY2jlCKdstXsXtGzd4+eZdmtkOxsjEfblekWPCac3p81PWvVxcFJrN0BPxEklLiX51SkwjcfTcOHqR11//29y6/RbG1sx3bkG0bB+lDN2aaVgy9R26FNrWUs8MyqTtwKqgtnnudl5hWgWqSBE1RmKIfOWF6xw2FcYqfvWVG/xX//A/wpaBp89PKUUy6JMPTDGSBcfDMC3JGiKRs/Ulf/idb/P06jldP1KsEypOkYt8znKus0YJetYqdG0ERayyeFJUTXGOrBVXl5eMw0StLcEPGF0Yhx4KPLla8cnFY2a15u7uTVSOmCK0wdVy4GJ5TsyenAp1K5KwxsxxpsU6JYPFraROKYWzc8YxkqaBcdgwbJbYpPCxE4hGkqJomEas1rR1TdedUlea+WJX+mGAUkViLKmAnpgtDEOemLUNdw+uEUPCGtmAlRBIKWK1DH1+9vFj/i//7N+w7FY0jcXqQoOANOy2yyUxwsw3v/8N/vCP/yXDOMjQVylSyTSV5cVbR5i/9On7//uvvzwnvmrRxrDcLLdGPYVWFXW7IHQrXF1jtOPW9VvMm89Yrq/wWXF19Ux01D0Qo+TinJUSWy7S1i1BvhirCJMnxijrzyTrx5gmjHNMYeCDx++jVEZXjmlKWANWOxpXk4eAyY7K1WzSkkpBKIamrggoNl2HsTVjXBG9/KANWrq2UwSrjRTUyCQSFFDacXP/GilOrFYrbt66SyJz+vQpe+2M0liODg948dqCV2/tsxkj+4uak0bRDxGGINKgdo8pdRgj3/ij/Ru8/aWX+eSDe/zs08+YYtii5dg21OHy4gxnHdY5Yf1mxXw2ZzOuJUZRFNoZQSjNdgghMYRAioUNkX/xwVP+5MEFMSSiLjSmIdWGYdqwHHsh9JQifG5rJEPtI6UGchQiQcnkkkhIfjhn2Z4UEjlrfJjoponNlIWwMEU2wbMaBrp+wuhddJMIQ0/Y/h1NNvSbDldb+nHCWMPe7k0u8zlVXdOtj+WwnhVKJSqbOXt+LBIJrYgxcXFxJbnfKIfeedPS+YFERGVNziKnCkl4wUVlskKy8GmESSJdqlh88mgUQxC7p3MNqMIw9aRcyEVTVYaUI8OwZme2jzIVt+7c4ez8EWGK7O1dZz1ckqaRRMaVgi5SPExJMtAhCeUlFyS/2rSUJOx5tpdEraUMG0Lkz7/9DTbrlUTMlKBQpawh+aar83NwFqsK2rUMoUddXfHazVtU44ZPrjZcDhdsJllxouVgULcGU2DsV0xeimdRQV07fFD4KaEq+WdWK1zdMmsdy3Wh6Iz3I5WTKXMYA04psjNMIbKoLamqmVL6+fcrUVBbwgxEajQ+C0ZVZ0VIgboyxJLJMQnPW1WQBgqFncWCHAN+9KAti7Ym5sRmTLTNQiJ0dcN8T+GKksNKnGislotkkEP/3v4cHyzr1YYUM6TEUDb80Xe+JZ2K4DlsGtYxUWJkigFbO7KGMnmOT05wzpEwhDDS1hV+FHrDq7cW3Nrf4b37JxTtqNuW5fKM+V7L7Zv7fPTpGaF4qqYhJY1RmjFrrvqe33zjTYbQ8+HxCZd9T9Ca5RqKthQCrojsbgyexjhCjlycL4kly2dVypSkoQiW0kdPM5sT/cg4LtHZkgnMZjv0k0zMr84v5Oe0ajGq5vreIU/PTzjYv85mfcqUJlzTMMSJGAsHhzdZrq4gepwWiVdjWyyw3JzTzuY0dYufesZpYOjWUjQrnyOFhb5lrcY5yziMqJjw05pPHv+Evp9oaiPdgpK5TIk9HHdszdFiwet3X+WtL36Fy/UVz0+u+LSu2VkcktyGO9eu8+DkEbkUXj6wvLV7gx8/WfLp5QlDBmtqru/tcby6wmjLq6+8itaaZ8cXjH2/nXiLrbmUjpQSoV/xMBf+t//2XfwoMQhVEkZl/Oix2pFTpi8RZTM5C2HHGo2z1XZLXnDWUFWKvYNdbt+5zr2HJ2SVcaZir5kR0wZrd9nfz5ytz6ialmV3jlYQgyEAKY2cT47LwTKvKx5drfhn3/uEq01HSMI01xTauiapTMmBTb+ScmNJnPnIyac/kZ8XbUg5Y0ugXydIsl2zTv5+tXOMKZFDpq4XTGWgGMud27cxyrJ6+BnJVOSQUcoLSUo7nM2UkqAU5vMG7z25JOqqIWtLiduSqZJ4awrSkVNolK7wY2SKWVCb3YZnJXFj503eunHIaujpp57D3TmHsx2eryessWSV+eZHD2RwQuTRg5/Rhx5nDXduvEzfj5xdnlCS9M667Ak+YFXFomnpYsGGxNHhgvs+UrmGfuh46Ce0MhwsZhjrGKaCqRYYK4fJse9xpgJrxULc1NTNHr/xtb/Pr7zzP+N77/4hf/6d/5amcYzdlbDxfw4ayD8n3oy9J0SJqsUw0NYtIxs0Dh0iKorYca/dZZUiIUf+7MOHTHLdYwqZqDNz1zAEL+QgY6nnLT5mcJohTcTo0cqScsAYx7LbyPOAQr++ZMTg2hpTOWKcqLSDFMgJ+Rn3A05Zec2TpAIUEZKBIpCQUArWGCoHubitJFJwlpd9z/HJexQiWinZpqeR+byh2wQmP20HhIXKTGinSEmRAmAiShtuHN4l5Qg2E8aOvgTpY1GEKKSdxJangDFyKDdWKGdxyGzGNdYK2jx52QKGkiibkZwszhkuNiv+3c/el623shjXEKae2jWMIfDeJ+/z4p0jYg7kbJi1juA9iYQ1NTEGkoLCluiTEo+ffIw1lqISs8ViK8P0TOuJ9FcziP/LH+InMVBgnaiVY8iyhjVCoznYuca8XvBv/uIH1FXFYt6yXG3QTqMxFJVYdxuxXJaAqw0lFHIqDOMg+TtgPquIyRFyol7I4azEihATY+jI3lNMoakqwrRBZc00jQz9wK0bL3By8lg48IiWveTMlIRFLVPrjC4KY0RsEbNMx501oBQqJKrGkpQjRZlCLJdnklfVwOQ5OjzCz66orUVPnp31ho8endD5zJPzgWkc8V7WgrEUUpiwLmKtJpPpxwSrKz76MPPs+QmVrUAZwiTFlMpYclZYp3CuYhg7rDZgIOdJUG8xgVIUJbzr9dUKlCLlhLIVtoLVNLIeRqrKEDLsLOaMPqJSpmiDj4kWJTZUZ/BBBB8hJZITZXRKiFgpCkIyhCDYwmwJObMeBlZDoBsjgw947+n7iWU/Mk6BMAz0fkUMmbpu6NPAGAbRzpuKxaxis77i4vI5ylSEKG3uCUVJGatqbh/e4t74lOB7DIWSDVXToK3Cj54cIxvdE7Mcxo12stmIkZwi2sqqq5SJw6bl1T3LT549R2dBfIrYym7/jhNTEEmLqltmyjCNa5Q2sgjPnnEc0EYQo8l7MpnN2DOlEa2K5OOUwg8FV1lcVZG2lwnd1BiE8hNjJBWYz2rCFGnbPUKYJMcbPY8++i7X9uaCXc1pewgWznHadj4ckZgzJgXGlefWzR1+64sHvHn9Hf6H777PN969EDKBUVuTJTjbMIWJrCCHDc4YjHFs1mtSylgjE2OIoFtiVpxdXlC0lp9DXeSD3ApOM2RF0zqSD7R1y6VfC5K1FBF4WYN1jmLn5P6KQOb1u2/y7OKUflxtSTLCfM85k9B0JExVUVVzkcRoBVaTg+furTlj1Hza9/QhoWLgyfFjElBCAauxaJS2OCOX0DdevsX/9D/5LX7w0Sf88Z99H2dmqCIXErQiBSEaDSkxa1sUDY0fWA0rjHNQjExkrCbGAkXTjSMKQ0kahxGmvob1esnezT38ziFXqzOWm4FaOcnCopmbBVPe0A0dKStWHi7Oe/wQqBvhpsepUNLE5bnfugs0bSu9o02/gayoXYXRBk0ieM8YFarIRHQce2DD3tGLuGqP8+fvY11D3nS0td1SGrQw163i+OIZla7Ym83IocbHQMkQUqKpaqbNFXk7sa3mEuuLOTPFrQ3VJ1pnoa0Y+wlbNUQvBCNnwBSJ3RWtGfqRajbDrzumSchhwmqvKEoTcmZe7ZF0Q1dm9LHlcvRcdgPnV+eMm1PqvKKOG3yGzXiF8gGjDWeXV7xz+3XeeiFzMXV0F0uUDlyu18ysZSoZnMN3HTf2r7MsV5yFUxFpIZSYKXiadkYInjH6rSvCbyNcCpMKOY0SO9l+3qjKoG3kxrU7rNcdcezEyFtX/PKXvsgHn33Gpw+fUWKW93eK3H/2DOMq6nzBi9eOGMKcPg0SW0tK3udFBlpny47f/fOf8GuvXucLdw/584+fMoVEpaKs/DHUbc0UBpScEgk5oEpE+YmY5dimi2TXR8SBgXFYC0XJBSp6L5NzbanaXcn5hkQcB4YkfTZH4ebdO1xdXGylVhGVDVUl7pdxzMIkpsjWSmVQMljJOeKURpmID4GcxbHSuoZExLWaMAUup8D/7Ts/petWhKz53/3u94mm8PDiit3FAavNhhBGVlmoKlZZKXID9Wyfv/c7/wU/+MGfc/6db1DPK4bQU5J8f51RaOeYVTUXm55nlz8S4zTgjCUWg7Wa+d4ur1w/4PInF6giaQBtDUlLXNBpOT71PjHFnm99/09YDYbjZ5+xu7PL2dljXL3gF77093j82Z8RwhWjhxAnjHKEMCImKkU9q/jaL32V7/74e6Q0iiSpZAqJ5eYCbeRgvYoF7cTW/qMnJ3z6332XYRSyTVKJ4iMlQGU1JRQKcnn6XDgWU0IlTVvVBBUkaurEg9P3kxz2U8Eqg64q/DRxffcar914gXc/fU8iYUYRp8x8UdFkQ7fp5b1ha4ZBiILJThhXk1LmanmJsxpXVfgAxbQ4V8je/394+7NfXdM0PxO6numdvm/Ne455ysipMitrdJXLdlW5u+1uW0UbQ3djWaAGgTgAIThAgj+AA04Qg1AzCQkw3QbcLuO2u7psumxXVdrlzMopIjIyMsY977XX+A3v9Iwc3F+kxYlJ5BJLCsVBKrdir7Xe732e+/79rgurFaqyKKQHk9IMVtN2++SygiKY4U1/RVcbvFc01ZJ5DlRdTQgDpWogJXyYsFYDispYicnkgi8ekvgPgk+YZYsxEhGKaHJx1LZljD22shjdEuLMMI+UnCSerQ2m0rx46wbb7ZbzfiZkQwj5J/CPuq7Ae5Sx4j7RBqMsKe6s8D4RQ8BUDd6P8oz8CTiffupDfLEFayvm7SgTXCXZvnkYmabA+uoae2vBJnhaFclZo5DyU7vQOGoq19JPG+KcscXx9a+8yXq15pNHp3gK1jqq/Ybh/JIcC1O2xBGMDaSUyXkm5yjmSu+prPzCLbsl23HLenuNNmKHDLHgbcHVUqxKMeKsE+umbWicxQdhdjbG0jQdU/RYa2UK0Xb40NM0DSpFXNFcjhvOLk+5Wl/wlRcP2fSetVe8e/8p3z294ubxMY9OL3j87Dl+9oLwU2lXBxUahDOWUiIle54+OZU2um2wPpOUSFnSLrLSuI66WhKmTM4JYxHuaykUpdFGpiCgyWlmb28PH2FOiZAKe3u36PsV2hi0qpjDjJ89dV1TUiGFRLCwv38Pawqr7TWt0rv4u9lxryFk6T/EEPDB471D6cgcAtvtyHaY6KfdP7NnO87EJAzV880aFTLGZCbfQwanFbarKdFwcHyTy6vnlJioGlBGplkaEaLYqvDZo6f4KJfFuq6YpkTJCZN32e4dMtTgJA9fEtZVqM8n/7rm5MY9ri6f8Gqj+HN39nnn2TXCzlaEDAmPq2qSL6Qs02BiZM6epluSSiCNIsswdaHEgeQl5qIAZxTKVeQQaVAMPsjhLwlne85QtR2aKPhBFLVzeBLDVkpoV9dPgMKtmy9wdHCX9fVnvHjU8PjqikCkdQ3Bw92Tm1z0G3yIpCjZ6xxnjIIXbh/yha+9zbe+/SHvPfpUVnhxEhRWTOQMm+2AcYoSZVKoFKK91zsxDQk/jrSVJqQeW2TvpymYHNBYSlakKN/7qrZSQjeWSctLrtKG/W4P3ThWq14yw+Na0JYJstE0TcO2X2FMJXn67KmKoWgjJeW2ISvDNHlChKpyRBX45KonBoVuGynMGgtZSuypFJraUumWNAUwFTHOPD275I9/9JhhKLS2YYozVVWDVyjToPASeymJfpiJceTW4RHWVWxGKR2CqMOlICn0KmsqSpl5/9ETDs4PpSyd4cnpKcaI4EZRMcweS6KuNW+9/gI//GhiGkdyybz74GNUgTkFmVRpmH2ichXGNVR2D+IIuma9HgVebaxMoVImlbTjuRt88lR1hzUNOY6U6RwfB1TKOAK100IxKgltHEa4gjuUYuD+448EKauliC//9ig0phSKkYubLlCsocS4W717+nlCVU4+g50BLxu7EDOmslRNzZxk6DCPHm0r2qqmcpnZKbANcfS0tiZGT5scGz/w6PKU73z/jzh99JDVlHnw7JTTacuGnsrV3FjuM0/XbPuZp9vI/+Vb36d2lojBWC39lnli7+iQPdfxyYf3qazmtXsnvPH622w/GCh2xvcjSlVUVYMKIrhyAjhCa4XNhsViHz9PGDIqBMLO72BLBSHz9MljYgG764fkkvngw8/Y9ANjmNFK0ThLTgq77Lh9cpt2WfPw4UPG5JingHUVxogBHZQctOslm9U53/7oCcU4jEkoZyi2odWRHCAExThFtBZ8c+UsKYr0TSuDM5lSNJVxxKLl8hcTqm2oqJnSILhYXXjjtVdJc2BYC5Hs7Ow5pmhUBltXpHEtvgeVCTmiS8LRUqzCpySCMq3IMcomUjuUlkx8KWCrGmUhDCOVsdw8OeIbX/oy33znXTZhxb29lufXK1KEQOD9ZxeEnCBDl7Y0yjAqTSwQc2S/rsmxQmfoNxv+7t/7j1itnqLsLJfVLJ03AdgZ+mELbqD4RC4CJShKg7MUL72rZ09Pub68JOeEVoiNOKRdbEpsy/IgSMTz7MkP+M7mIV966U1W548p/ZquOSIMIzFatkOgqxzGyaDMKAdWyRkhRj797CP6bU/X1ajssZXlxsmSs2sZXpIF8ZqzgazwteH51Qaj0k9wwdpY6rolzIMU2gWaJVGnWKicI+dMUUpQnmpnbPWCgTUFbF0zjT1VFDy4jzOn60tiAdfUeB/Y7zr+8m/+MuerNf+vf/JduegmT+MWTHkgJ8Xd42POL8+wxuCcZRgnShJUbs6RzRhAJZyzlGJ35vVCShGjg8QRs5Lo4zSxnTy6qeinnhwzocA0e7q2omkqycU3NTEIzlpRdkhswWIrFDhNpqBLIaYAtmYMI7Wt0EwsF0u280ROUFc1cRL6UUEm69/8wQ+xGFSKFD2TU0AbwfdGryBFQvBYp8jZSCemFFq3zxDl9+3Vl7/M2eknPD87/Vc/wfP/QyZ+9pnQD7i6ozKag709bp3cJadE2y3IRD75+B2uzh5xfr1FZ6ibhpObL7JYHPAXf/NP8+//9d/i7S9+WW4gWglLk5qkChbPizf36K9XpJ3GWSE4pnkeEUNmjTGG1taUKC+wetGwf7CPKeDnER8y2iywzpFKwgdhs+/v7f2Ey6pVJpZCJhJTIGvFpl8T58iiOxTqR5Lm+XqzFdlSKZSid9iryIuLBb/08k2mOfLoauRHnz3mW+98yMMnp/icMbpgrLCWFXIwtNbi6ppm2ZEL2Mpw3LVEP6KLoWoryc9lmbAP08TV1RWVk9XUNM2UouSAmaGxFUeHh3ze3GkWh7z+yhdk0xATQ79BpcKdvSUuZvKcSUUxxiSrVWex1tFUSzlYzZ4pRIp1GLsvXH/kQ8CHyLgj0AzTTD/1bPqezTAxjJ5p8vgpMsZI8DMqzwxzT8ZjKiETOWVxWl4e47BlmgeePv0Eo2u0MaQs+frN1ou2uZbpyhQnCfMoi9YVdbOgdg1zjFhTUdW13P6TgJGNrSkUnLMS50gTVxePaKzmh+uB/913P2GYd1k3V1O3C6pOWuYFqJsOY1rBD5bAdruiTIGma4XxrA2gefuNF/jTX3+bvaplnAdudifsV4cMPlHQWNvS1fs43WCURkUYhxFdH/Liq79A0Q2kKFOzkLA2o7Bcry5wTUbVjj/66AFGG9RubemD58n5OZfr1U40A8uukoiZM/zowTP+N//33+UffPsdnl2dU1Sga2tMVDursqIYze0bL7DsDkjeS2TLVPKy0oq6qWVqg8TdfuVLX+Og3pOpr22wVU0xuwvUTqKVgmxh1uuRFA3BK473DqljYRhWbOeJRCB4j4+RTx58xMXVGTmLWMwahVKaZBQUwxsv/ww3j+/Jy0gref6VxVjHZivc++izsHhLIcRMDEk68dHwCz//a9y++zo+yjQrlsgfvfMdYrTs7R3jw4wPE03d8Bu/8mv8hX/tv4TrlgwlQM4Y5MDh2kq2OcbgnAalqT9n3seM9yNxzjgqttPAlAtRQ+0SVU7UtsWYSF0JSSmnjI4TjYWTo45Ft2C/XUjkRFth5kfFwcGRTFbHLajMX/or/w2++pWfZ7moqZoWY1sptacgdDBT4YtEaxZ7hxS9y7Qa0DnQ1I7NsAFtSQWUdSKhci2HJ4e75XpGG0OIMl2qnAUyVd0wxMiUM2jZapl6iTEtpWhy0USliRSyz2hbYUMQfrc1gnFNu84NGaMExSl2ZRhjZoqJ4CcW+y13br2AUg1T2DL2Vzw7e8RHH3zCt/75H/Gt736bjz59yObKM/aJcXvJy0eOyjrQBWMVU0wMc0TtIl2ua3HWEqae89NHhHHDMPS8/8kP+P6738IqTZiCYBabmjuHN7h75wXJdVsrjHM0zjXcufOy0KlyBGsoiJirlITWlpwCKiVSSrz++td47Y0vMqVIXTmatiEVEdVlpci5cHJ4kzdfeZOmbQlhi7ZQVGaeJ+ZpEsKQ0szzlkVVsbfo6OfEah2oXItDoZNif7FkGFekLHQwUyzW1DSLPUSyWISIAfgUODnZ4+TkBl27j9ML9I7nrywYXbG+3rBZ9yhdUdcdddOhTUFXhTEMnJ9fS68sBpqqoWqXBFsxZ4TokeRiWUpBGUdlwCAo11wKwzhjdIU2BozllRdf5OatY7SPtFXhG3f3qAqMUbLoqmicaynKcPPWyyyOb3Gwd8hBe4DLFfMsQ4JMIafAs8cfsF2do3Ih54A1DctlSymZQiDrSPJCCjFNTSgQsozbKid+kcmPTMOMqyxV21DXC4xGyqhaC20qJZwx5OBpKkfMA5+cfsKzq1P6aeLs+gnvv/87rDfP0cUw+R1iW1tu7h/R1RVawXboefj4U1IJDNNAVhly5oWT29Ta7RC0UWAYrsZYx1svfZlF09Euj0FBZQyFwjz1oDTaVBgnMTsh+zhunhxysFzg48Ts513HTTwIWmXqRjCITeMkaktimnpOr54SSqLfblG50NYddXWT3heshWVlePveMYmAaSxvv/6mQDnIKGsoKLQyQGQc1/iwpWoKWhnpifgJrdIOAZ7JPlDrZgc/ydSLGlMfErMjZEHozn5Ca+ingXGeUcWy2XrmNFOUTM/rqhIikjYi/CoS1ypKBqs5ebSu6doDum7BN956m8Y11M6wrBuMUewtxb/xeVpkThNFa1JRaNcKJj1OOzP6LuJcFGiDjxBiYPK9xKRRXF2e4qrCbmL2r/z1U0/iK2eobc3sAzEbvvTlr6CVpf/RJcGPdMsD+kFRV1JI9amIWVQl3nj5Bb705Td4+uSM58+f0zRLvPe8//GPUEgrPsfE/cfnlN1EXjnJg1KySGXShFVIaWCa2NOayzBTNlsu55msZPJhncXssGC5ZJmEZcVicYgat9SqYvAbwWAhN7SckfWRUlyvLncr/YLtWog9c4y4FjrjGDaF4Aufna9oK8s2eKacpeRaab76hdd4cr3l2dPH+JSodEtmgqQoqtAPE84KeSdlxWW/JWRF6yrCPGONImcx3+WYMJWinwVhtmiXzDFQdAIi05REoBATSSXOr58zjgOqrohDhhRAZa63E0PecuvmXW6ojtPTzxijp64cWhlOn32EK4nj4xscdMeYmPHzFeXgAFUkkhRjZjPMaK2JQRBek8/0Y2QcPdM4MYWZMHp8H7i+7glzkKlMVsTZY0zeYcssKhW0sTgsMa8oSqGRTPSiPSAF+SArRROLl0hWTox9FHYtReJFWlCRnz8Q1lpAyEdR7cqmJRPDyDZrlHLYIkKao4ObrIcNRmnKFNFR1OjKSCnoeH/J9Xot6zJtyUnyveM0UxnHyeFNnE4s9g65Xp3y7OoKAzil8CEypw0e9RMBTipejLHjFedP3uXlhWLIe5wPUezFUf6dcuTZ6adsNwPaCY6stlZkHKoCozmiZa1m7M6am7XQH1abgSHMEDQpCRZtb9nyi1/5Mn/wx99jCDVWT5ydne/Kuop+Dugk9kCKlpxszsQMFRU/fvgpQ+gpURHyjGprsGBiAVNRVYo5FxQanTNVsyTlwgcPPsFYK6vILG6GylbEGMgq7/KRmspopuglsqIUNZGHTz7CtDJFb22DMYXJe4p0/5izR6mKpq5R1kKCyU9QEqoUxt4TYiDEgHaWuRQYhcRgjBK0YpYp2MOnj9k7zuTg0aoFCtYmrrfXIpXRhbbtKDHT+8jgvZB3KtkA5JwlU6xlI1ZSQlcNUwqkIheLuunomopmseQ7nzxBJy9maeOY0ex3e2yDQnmZ9Nlc0JVlMgpiob/2+DkwThPKKgoj6Ey3d5MUR1p3yHY8J4aZ7fVzmSS11e6yOmESzIjfoXFiLe2LOCeen15CKTRNK90cK4emGIWiknaSH6WkSJ+Vwu8Y3EpnqqohjQl2MTZrIn/l62/xvQen/OjJCusci6YlhJmcMtnUO6OmJ2lHnCV+oZzB2Y6qtlgjk9MQ4PrsArftmT1staVyFZ1W2JxZVA2KwlQyqtEcLQ/502++hJ8z33rvfZrGEsIgE+CkWDT7QJb3iVYEPP00Qy603T7zuOE6em4cv8JXvvpLfPDhdzApcHRwm8vrS/w8iuchJ6pKcedIDsmXwyif2yS6xSGj79lcrwk2YnUkKgUx7bbHmrpqmH3POx+9x/sf/xAfRg73WwqafpIDQ+UavI+M84R1iWHKDCpRMFTtHnMY0UiJ3HsplqsM1lZUZsl2uiZHReu0FMyTPG+gWK8GbN2yf3DE0K8IvkdjMM4yTTMtDpxjbXvJ90aISom8LhaM+bwkKJbQEEdQhr3lHpPvUVrJxj4FqrrClkKMacd3jzhl2FsseL69pmjNux9/zAefPGI9DszTxO988IhQxOZprEOXhE8J0Fi7pCqRbbrElxHtiojflMbmmVoZcoryWVOgaE31OUFL7w7e1qHtgpAncsjgdmX9YoghoYvGVo4IVLHwy19/C2c7/vCfv8fAlhj8Tw5soQgNKCponeLp+WNASbLA1agQUFrOGZTMolpQlOHNL73ND3/8Ln7copSSuG+Ri/7de7d5/d6L/NPvfU9kU6qmqiopwJdMQfP88injPGCjoTgFCSHhaOkgzX6WYZhzGGCYJ/R2i1MO5z7vT0SMla0TMcvPtMjv0X7XMvuZmCZGP+KqBqZISontPPDH3/8RD64eE3Oi7U7YTIYwz7TdQsgup1E6EVFy+T7MPylzzl6kiTEF2Yii8MWilUHnGXLG60TdWnxKjHNAI7b0o5M9nl9e0laWmCMpJPqhp7IaWwl5TqeyQ5Q7tDVoZQgpk3L8CcpSJ9kI5eS5unzEizdO6MeeYTOKJ2K/o583jH2/+72IGCOgjZgSnalgd3FKye/6e5XQ+ZBuVlIJbWpSjPIQZejXp0Kp4yfs7n+lr5/6EK+KJaRMVdfst0f85r/2V3n28FM+/fgHTLni/HIFSl7kzkKrG1bzmsvzp/jpimenz9j2idXqEldZOmcIvkJVjlISoSiOjpcMY2IaZ1yVCD6CMjhlqEqhXdZsR8+UI32c0brZ/SIWDpYLVuserEZpmSg2ShrP2hiuL05x3T6us4RZcmISs3VYoyha8k05RZSGcd5gQo+ioIzkhL2fZXqtMh+erairGqMMbbvgarvi3p1b/NlvfI2/+wffw0dFZRucacklkHJAFU1btVJ2DJmYpCzqlGIYRyprdocCmbAmMoaELoqSAhFDmCNVpWlcTYqFvf1DQoBxuCSEmaChXe6RS2acPRWWq+s1SWUuzk5p3ZJMwTqHcbt1Zy7kmBinHq0Vi0UrBJOgMAVCCoyzpaBBTcIQVuATDD4yThOT92yGmcvNip7CmIUMVNuK9WqFNpZxCtjW0hnLl996iz425GT4+LPvk6YZpxVzyYzzlrY1hCnvPtgKzmgKmpSj5Hl37fLKaPwkyK2m0tSLY05uHHP25CN0UmxDASV0Gq8KtXOkKOSTo/0Trjcr+kH6DbnIISXGhDaF2Wc5IJYZYxz77T591EzTlhgj9x+dslw6NvMKlcDHQZBzyqBtLWvLLHx6YwwF0Wtvt1ekccVrL9/isBguN5FSzM4OG1lWlhuHtzlffYj2maIdOQfGPoC1aCZyUbRNS21rjg7vshk3XF48YI4TwYPVFl1ZktZioXzyiH6cCKlgK0dSUZCqWeI4xijAkYtk9Y3WOyth4XR1Ld+bHKFYki+gLMpmKqOxrsXPUki01v2EE15bQayFbGTinorEpXaYypwS2knZV1dZbJHFMVOYxxW12kcrzQsnN3l0cUbQAWctSom5sKidF70kcgRVCkoLnej66jNQE7auZB0aE6aGXALHh0vOnlcsuoYxDrz3/jvU9Qf04yCTIKsoWHzw5JRQVrPMir/89qv8wcPnPF6v6EOgUh2xzCiTmbNMlpvKMoUI2qJay727L3L57AzvB9K4Ydpe73jRCEEjSXxiM20J3rNc7OOnAR8mcjYcHdxEZ/j9f/y3mMc1UQXhC6uC1pZtv2ZvuZDNZICSFU1TgVUM80zKkdrJxbZKEFUkxEJT19gSMcGTd5QbHyesUmQqcI7kJ1rniCixGJskL8cYaesGakX0Gu9nqloRgkziU1L88SfPOR02UATht1cdouuOyQfICa1kOqd2sa7OVVhbEaeJJ6ePSQScgX5zSqk7zvy4eznWDLnhWnnGccSPhX/67idsp4FoJF/9S19+lbYyfPbgKadX54R5oijNsm6Z5gFswRiLMop7R3f59OlDHFDCTC6Zwc9cby8Y7m+JwxZtFJt5RdHw5Ol9rE5kNNPkGYwjhySxphyoKwdqpnWKMjzhjZsHPCwVn12MIjlCUXTizp0XePr8Af044EPCGc0UEbmNMaTUM4eBkrXELgrYhSJ4z42jlzm58xaffPhNJj/jdOFLd+/x8dU1Ps+EYcarkf39Q8ZhFmpRnLCVIfrI/uIQrWq24yXbzRVKKWqn0KZiv7lJ9M+4dfgCdeV4dH0mUpyU6Rb1jgefZcCirPSwUsAYftJpUcWhlcAZijIQMsHIUEAbi7YN8zRweX2GlNs1q6trtLOEUDC2Eny1RkR6UTH6IE4XZ/n0yQeUmLBk2r2Wq+triRTkTDLiXCg5c7Q8ZOgnUpyZ8iy9nCwG9DgF6nqi6wzGntDUNQ8ff0JC3B3s6HPO1NQO7r14F50d0XiUB5DBjNtZgxd7MmDrt7NsPLQm+ESVPOj0k96PtYUb946JJfKt7/wRKStsMTJ5VwpXIKHxU8AUYejj5LOSAsEXlA7oYlldX5FLoV0sMHEWlLeCw/0bpJJZrS+kk1JXxOwl7jhHolM7c2tBOUfwAZ0kR990+wxDIFvP62+8yWa14ZP7PwKlCMGD1ljnmMLEDz7+AaYYbN0Rsse6I1zTYLXj3ffeIaZI17W8de8FrteXPPEZbSBRqKoGqwoqR0qy1NYxTluqxhJKhCnR7rek2aMB7wd0MRRtWV2uKTtXT0GxtzxEqywEs10cOM4TAMlnwb6qTE7gtKFtO+YYxZCbAzENaF1xsd2yeXAfoyJDH1n3MypnKiVdo8bVVE1NJrHpR2bvaRoRtlmzGzJmAXJUTSVywcmzPFhQ24ZUJobJMw8zKkkf9E/iS5VSfqo/abF/TFO1HLaGzeD5+jf+dbb9BR9/+F2GYSSVgjaJhbW8/fI9vvjaV/nbv/+PGKcZhUhp0IbZj7jdVMe5BmxFDJItOjpYsNqOJJ9ASxk2I1SVz1vv16s1pcgtxjUdVdORhjXWNkQyU5j5xa/9aZ4++pTV+pJxGsmlUNeaORVi8IKg9JmcCq6qCCkKyrBIEcRasXfmnFnUJ/TTBW0rop6SFM5a0jSKxc45KteyGa5pq4qqWxDnQJgDEDk5uUM/XbPue3IpcpgrRYjRWZCESon1zaldFrwknJbisNVy08tFyo7KQLf7b85oJCgPmig/AzS2XRKmDSklWl0LUcYIg/hw74TtsMYHL9Y0ZH3ujDTKD5Y1B/sH3Du8zYt3jzg4bHBtQ20qGueozC5HvVvLT96z3vRcrTecXq+5ut5wdT6wmXqGsWfyM97PNJVh8omiMrW1NLZFu4Z5nsgk/DhIIctYvPe0nSOlRPSRXDIgVsUcB6y1+ElQgLmA1oBzNEahbMfJ4THkwLPTU4oxVEbJ5MQUQtTURlMZi6466sqx2mxIGZT22Gyoun2CF3X0GAdKihQUXbOH3sWwfBKXn3UVxIh1LaEUpmEt+e7dujwkKQsrJQdc2zQMw7QjstRUuuDqPcKchPdfV6T+GrQYftusGHPE1iJUqpQYBLWucaalXlhcdQx5YLu6kClxAchSWMaSggeX5ENDFawRYQgpUDmLzjVFwTDPQEbnRBTcO86WXd7aEb1H6ZqsYL/qGOctO5mvHE5yYblYsO0HIuEnRIOk5DkjJsZ5RBklh+NU0K5CFSOX8ZQwWFAZkFxt0Zq9esF27GWqbcR4qeuKGAuGQlXVlJzxYUY7wbeSZZM1hwljLM42lBjEaKgkJ62amnmeSbOX14GCg0WLD4mQE9oZxmEEo6mK5Wt3jvh03RN1xep64OT2XbabSzpXhNCxrHj++BmmaTBI8buuDNPQY6yQHayWAnXt4ODwkLOzDdok0HZX8Dsk5g3X2zXadBwfHDL2a+YsmwK0SGiapsaqwjwFmlrETkOcqFyFMx0pjMRccG7nEph7bhzdI2TP9eoSa2uOjw85e/wE5SxzmiU2UjROW5kulkxbV2KeTlBbjUB9Crdv3qGtOkwJ3H/+iJvHN5hnz3Z9LTdko3fbTsPJ0T5Hi5ZHj09ZTxNFOYkgxIRpHX7y1M6gaTBVobKa9TijtdC6Gruk7lqGYYUWDgsGjzGaflgxTyPLtiNTePnePX7zF77KZnPNP/r+j3ny7FQmpjqjvOL48IgpTWI5ThnlOq6vL3DaEWIGIoUkKNCciDlKTEYVYsw0zmGsiGauVltevPECjsJq3nC9WnH75Rc4Oz3FpsSXXzrhv/bLb/B7Hz7m9358yXo70FQtddWyv3fIenPJ9eqSYqy8F3JC60o6B0beVZXrQP8LxG1MCaUct26/xPrqknG8xCiFUw67t0/XtPg4Y5LjYO+ApjKcDddsNysUmXke0bojh5myiy/46LHO4lxHCp6UPXXVSh8iezSOafYoImFXIK6cGEBj2VG+ENFXLJrXX/0KZxfPuO4v0Cqji4YkJcOQk3Qm0JRcqK0jfI5DxPDSnVc5Wz9j6rcyZMoFq5YoLdjhyfcoq6mMWElHP8tB2MgGdA5SLDSqUGIW+Y6xJMA4SEWkQykKNnC5rFlvosRuSLRti7U1wY9Y63DWst2uObp5BElzvV6TwixkOK2pm5p+7Fm2C0IIaCUXlTlETCX0LqNrFnXDZtxg6wbnanKeCD7KM6oFIhGDp3a1EH+cQedMJhNVpjaWYRzRpsHYQvRJ7OXacHCwzzT1lFxBCdy7/QajX/H07CGqyJZf6UJCE2ax5ZaS0Bh0UdxddpAi97cbqrZlTpm60jhb48dAzBMpy+ej+VyoV3YOmZw5WC4E40pFKYaTgyNi8VyvViiTePXmLS42Ky43WzRGtjRaEZPAUpwTI/P+QUvJmdVmjaHgbIXViqzl4kV2FJMpQaOdIoaRWhnu3n2Lfr7EFM/kM1MIxCCW46P9Fxn6LYN/jrY1YZpZLjqGUT4DUkzigVFGPq+yom5kG+ujYL0PuwV3bp5gS8XDs1M2fkC2eRGnDZmENY4YCz5I1+rw6CbjPBGHCWULJYJSIpPKMbO/d8Jqfc08D//Sc/dPczz/qSfx2kT8PLAKmkDmo0/fY9tfEvzAomtpqj228yU3q8J/50+9glnUfPN7HR8PG4xV7C0PBOelLbpoSo7E2csvrrW0Vcd6Kx8+PkWslodd54z3AxhL3CYMSDkDuZ3OmyvmHNEhs98dQFV4973vkoInxomiChhDzAGKKIANhm7R0XVHbIeePG5pKsc0D1KSQ+P0HrH0DH4txY/RU2IhlYQOmaw1bbdknjxTkGnNnCJTv+WgXRDiSImJeRoYp0zlGnLevZiy/BKHVEQLbA1N11G8p+QMZMnPW6htw+HRbS7XVxACgx+YkidFRVMZSsqE6KVIVDUoFGHeEmNBlYLXEaUVR8sDKutYbwdIEeVktdgow5gyVScTpaIyMRemEpmLJ9Liihy6xhSJWlbxRUPJhWGYuRomVtPMMEaG6OlDj596fBLmrJyyNYuuoR+ForPpNxi74e7Nu6yGnhysWNwSJIUYXwM0zuEs+CDM4slnXMxQkhRYdYVBprFWV+jo0cmDhqZpsbbh8OgGZ88fMI091ir+1Btvslwc8wc/eg9SBSVR1ZrjGy9w4+AlNudn3D9dU5IXz0DKmEozjCveuPcG5+sV2sLdGy9w6+gWZf2c9dzzeOPxNhBiT9t23Dw84fz8jMnPFMBPEZMH4i7nGcNAKJZ9G0glUHwiKovPCacSjXXMfsBYeeF11c7CqR37i0MOmkM+fvQ+xl6SUxa2rrbkJCjQWleyykuRlKCxipQti8Uxm/GCvbphmCZyiFRVQ1Ub+n6krRa0zYJxey34y+J32FMpjVtdSCng6iVZK7wfZKVYYLVZo53BRBHGoIUv7fvtT7LrKmuqqqIkwYtVugYrUTzvI21d07U32fRbUp7YjhtiEra7ToKENUVS3EVpVBbBl7Hygrh78w2Obxzzve//s12MIjKHEWMsJXqqpqIYzbBeiZ1VWYoSQsqkxJJMKThvJBdvHNM08O6lUKSWy4ZFyUzTFTlsef3lNzlfr3h89gxrFD5MpKzp2iXDdrsTvYE2msWiIfjEW3eP2dtveHp+QYlwfHSTZat4+vSMMXqUUZgS2W5XaCWl/FiUCKRiIqYoUSFtafb2uDw7wzkjuDcdyNkjn3YZYsCgmGKEolGp0C1r6m6PoEHlTM6K2jicq2ibivW0RitH9JIj7boFSlvi0KMA0zT4Ejl7/oAYMhcX1xQll1qFJiCdJlUSm+1ACp5hHsE4KqtEvKQtwzRSdBEOua1pFwsWleNy9RRtNJU1zH6Ds4YSAtnUzNMFRmnqndYdZYhZKC2baeYPf/Qxjx8+ZtV7UiwYbYkKlrXhV7/+VR49veAHn33IFGagl0iakgtejApjK6FIGCWZdwSre3h8KEXdYSTMI21Tc/vGTR4/F+a20Y7zRxckJNKwmeB3f3jKd+9fAhUwMUWPM4VhE/BTRKFoXY3RimIP2T++w+XVQ+bNOU3doJXDGEPaCZIq7XBa4ftzvvbm2/zg43chynZynkc6V1Mb+LNfeAG3vM1V9tgzyzMD6801XbPPzZM7fHT/RxgtkVPrjFCWSsRVFhUywUdCiZzcOuTi2TkpF5raUXTixvEhL9474f6DU7bTDEBWmqIrbh06XriZub7OZF/AZZyx9D7K0MxoDpZL+mkmhSDfKyMxHVUUFPFYOGupbcN2njCu8IU3vsxHH3+INpbGGvppIlMgS/HQmgZrNUUXweYquWSk5NFKJhIxFIxWGOswOFKK+DFgyCQV0VrjfcSaRorytjDnGW3lfVWKpjGaSVWkScguPgqWOJVMyolIoaRCU7eEeUYZBUTGMFF1jhICL9+7w9PTK+LcY9HUtsWzxbgF1ojEMOaAipmqqvBzJlYaoxtKAkgSya1rxilydX1NXVdUtWX2nofPPhYHS20oRYZ0SsnFwChFjkK7srohl8jr+0sOGsXpxxNTP0BTkbwiRUE/ajSNMcQSJE6bZUiltMJay5g8KUW5KKMZJ8cv/sqf5eL0lG9/75t8/PgpxSjZ3ntPUzfM3qOV3v18xJ1j1ILl8pDtdgQdiDni6oYYg2zQk4ALjM5oLYLG/dpxdnGfmETi5UMSZ3BRMM5chodg5CwZg2dZd1SqYlQiaixZCHIxCo5SLsqFQuDW4T0ury/woeBcw6P79+mD/F1RUu2Ms6fZO8DPnhyFtqPJ1HuOy9OnKCPyqZJF+qgyVKJOlLPRn8DXT11srdF84eW7VG0j8Ze5Zxo3xBjpp57L9SWpRBbdAqsUz08fopTHOYPKhskP4sHRlQgflKJoYcsqZWUlGT1ZRZSR8WqIWW6bSpNjoGTJg8WSd5ZIwfe1VYc1jpsndwljZvQDSYm5rGpqrK2JyVCywmiFVpk5DJxfnRKYsLVm8MLtjDmScqBrW/aXJ0QfcMbiHLsLQUE5JUzSsSdFYeWKbE8mAMM4SoFQacYw0y332N8/JMdCCoq0ewi0kolG13akkMUcah1OVxhX88Kde/zqN77KF165wV7TEMiEmMnFopQSu+fuAXXtgmbZorSnRLHcUiSjiUpc9Wsu+hVTnPAZctQU5ejnKLzbaUbnRPYia5jThjlESjSYLMScmKOInYZIPwxc9wNTiMyTZ7Pt2W43jMMWm6Rwt+hq6kowocu2wziHtkIyCVnQckd7NzBFXJ9ff/V1vvriy7R1Q1V3dItj9g9vkYraPcQJV1VYK5MVjRbBUGs52F/yb//6L1E7y9OzZ8Qp8sarr3Pv9j795pwUREpW2Rrjlvzo6UNW2ys24wXT2BND5qXbX+Pf+2v/A9rDQyosi+UebdviqopSZGp0vj1jO69JcUuJnqv1FR+ePePJ6oLoL1F6xjVC95jjLBINV5CctaK2NVXdyLq5KFSJrPs1iZlq6ci+p5YVieSTnZhSYwaMQ5kOimW1ueKz0092pVRLu3cg2NRcMErTVDV3Tu6QwkAhUjlh9haVmOctNidSLqSksK7QTyumeUSjOLxxi7/4Z/8ah+1NohfEXKVrNJVgU0NiSDOhbJmnDUZHGqtY1B2VEQmKCDI0KWZCTMwxihDDamonaMPlwYLloiLrQJhH5jmijWUYBqIGAdqBq2u0siIBsTW5SDFSlSLPZRFjcfASfzm/eMAnn7wnOD/tdlvAhHGWek+iZiRFVzc0laWqZZ2tnPC2F01L7QRHmHNhniX+EtNE8hNqCpicCaNcyL7/44/47PFTUtJS1g8RY4CcudF1vHRzj1pDjoVNP7Lebvjh/Uf80Q8+pqsXLPf26ccVz6+uZGKoLZWuyUkKuSkVlu0+9+69idI17e65Wi47mtrx6196nddu3aKynUjZ/EBRilQSgx8ZUiQiqNzL1XOMa7DK8eCzjyhaYWuLc6KHr2tHQUqRKRlScpTsqIvjlZdfwzhLVctlbrO9JGawtcY4iCVQlKKroLLws1/8Em1dsek3PDs7JxvHYrkQ7O80QRJcqs6K6D059WyvL7k4fUalM84pgp+wKbPtz8klEOYerRLdsqVtD0gx0lUNKWWShvP1mg8/e8T1eqLEmdpWFC0T9ikp3v/oE24vDXcXB2L1LshLGUfbHdAtKpROHB7fFGqSESa+rTq2w5Zh2+OnyDB7lpXj02ef8fzqnDl6fAr4JBjC0Wc20fGdxwNjUAxzjwF02+FD4nKzIRcxyQ5zYE6Zpu5QPhKGAW1rIco4iDmwv7/krZuHvHbrkOIUSme2w5bgR6aUSDGh/Ej0a27vLfjVL73CX/43fp2/9Jf+C/zsV7/B8f6RXISK4sGjT/8Fo70oFq7jz3zhZzh2nUzfiyKWhLGOi9NLmYbXEkloq5pXbt7hr/76b3Dv5KYQaHT5if/kN77xJv/FP/Ml7txc0jYtKSjmUXB7Wsnhah4mdDZYdjHRkEg+YpXiyflT5hDo6n2++OrPst+1JOCDj9+n5AmjCz7t0IkUGuvoTI21TuhIStM4LZetnFFa0K8hR2JSVPWSm0e36KpWhoHOoGwlm8Ii20QfBMm5XW2JQyDHjJ8jhMgUpPNSVGF/ueD44IDaVrtivmKxv6RunYiRnHTbjo5v0i2XpB0+db3e4uqFIKttxjYSccwxk5MULq2ReOdcRKYWYxAkqJLtglIOUFSNwbpMwTNNG4x2HB7cpG2W6GJwtsIoDWkn89r93MmKrmtoW8ePfeEf3H+2O8JYTDYcHd/hxt7x5/Ad4f7HjNYacsZphakM1mhUyDgsqmiM1rz22h0e3H+fJ+cPMBqCyszTiFFCcTvcW1Jp0eWaookRaqdZra64OD/l4GCf5d4+xkrfIoZCSQbvPboUdEnEeeLe3Xt4HximkUxgGCMlyvuAnMWrItcqShKwQyyJwW+xruLG0Q2Ojw9AWV648zKtrnC1JcaRGDJnl89JZWSaet794COGJJn8F+/e45V7r6CjwjnDYv8AZ2uRNyoLxXD+4Cna7Aap48TXX7vL0spnsqkdEKWz+Cfw9VNP4u+9dJd/59/8df7Tb36bb3/3HfrrU0qJgkcsWhr1Y+TTNPI/+Z0fk0rgYvJobfDRQ6jAGpSR1VvyyA1ZQVU3TPOWpt3n7s0v8eTsQ8Z+hUKRc0Jh5MPeGLLycqDJSYQ840TXdfjgeXj6CTnPNHULJTLME0pb2sYwpYguogT2UYofOWXCNGC1pXaGWQWsrbBGs7p6KqawIszUnIsg3KKi5EzVNPhRoh1WabJrQSdeuvsiV/2K68s1Vb1ApcQwXpO9TCtyFl5rDhGDlYhPSahcMLYRHBwGpwpvv3Kbf//f/Q0utgOXf7Pn+TunEocohlgilVX4GCWWkArR96SixSyqCyVHMtL2DjET/YStZKqbUIQpYbQDkJhTU6Ex1PUh2Vf4IRO6mVBptNFCokgZihRmvFLMg2fcTkxzZtOvudxsMZNgLnVULLobfPELX+LR48/46P6HdO2SvcWCy6sLcgy89+EPUKajci11c8y2XFOMgzCS8oaQtcSKrBEKRCoENe/Kgo0UfYNhmyf+8PvvMeCJFI5u3OPf+62/wnG15Z+/9w7/4Jvv8OT8Ek3i6bjm4flzbGOpm31qu0ek8NFn7/M3/q//Kz579AEhB8ogwqtMwi1qoo+shoHKWn7pC3fYb+EP3v2AMEXMouJGq+hcy8fXE9t1LweVkmTaa9lhIB11t+R6noQIoUSTXsUMSlbW1nVSXgqButlj3m7YWyyIqXDvhTfZDiuuzh9C9gStcCVDlomTUZo7d+/w/PwZl6tTcvYsqopQLJTIYtEyz1tuLhY0+x0Pnl0SklAalAJTafrthn/yzb9L71c/eWayVRzu3+D8+oyUC7pkUlDs7zd03SHFSx8CVWQjorJcvrMmZU9WRbwKO159ZWtS1oRQBManFVpXQoVp95g+n3gA0c/stTXzDgdngJQze4uaL9495NHZmudrL/K4nNlue5SOMsXyCWMqrCrkMDF7RcmBUiKHB4fkaWD0kapyFFOYfMakwhQExVoZw9CPFCOM/pQCm/6a0XuUljJrSAljHHH2KGO4uX/I0a07PH16yvXYY6MWU2qMGOMoGuacKMlSykiXBJXpVaCuLSZItK5ZdmhbsR429NOag6MTagPjFLl58wbzONKHgc8ePuNivSabhNKOkjy10Sil6H3EF5EVFS0NxW2U6JExhWXTMU0TPk00y5Z+nvFzj3OFEDJaOTCGle9Z//iHGBUIRXPx5D4+S+E8zImq7XC6kONEsA3jOPHDjz9gHL2QKbTFGUfqs5T96op59Nw+eZmz86fMRQ4Zdsdpr1xF0RXOKZaLjqtpi9MVlTH4PGJKwPcXFBQpScmyhLKzFw+gMycHB5A1q7GHUuG05mpYc7B8CVODMgbnHJREiYESLKpYGhzKNei6x/jA3mKf4/27fPrwR+QcoRS8h1uHR/zSz36Jv/NPvs3Z5TmN0xy4A6q9JU8vnnB+dQ7FsGwrkZeVibjtBZWoQSHFcqvAGsWmP2ejwegsz/HBPnMY6VXFZlrz86+9wH674P53V6zmCX/+SCas1mBxlBypu31qt8dneY+f//ov88X9E54/P+X9H3+HmhplIklb5pKEXllJAT7FhKs1w/M1TVcRrSMHT1dXlATDbpKYneOd+w95/Dd/h+vVpZQFU6boGetq/tkP7vP0vOfyoid5QajmAjqDcy25RMaYMEacEilnoik4Mn72FDTGalKJfPDpe/S+p1gZkpWiZJNuA8v9faZ+AlWougofkzhEogwntLKgIUe/2xAZKIYxBsL1CrJ0vRRA0VhjsUamsDl5XKWp1QHzuKJYTbWLYphKNp3KKKbgYVQ/KfemYhg2M0YXIgptMsnC9dU5rrLgJR76/HKLcw1OV8Q0MvUboN5dULZobbDakeoCOdHUFp/07nMaSpKsvLNW4lHWYTRMfWDZWrTSVIsjtmcbTJpw1uGDxiZY7u8RTWAaB7bDlrqzXK6vSK6glN4hsDXTsN7FJ2WzID0B2dCUUigpYIPgS1POOJla0JmaZbvg4cMPuFpvqZyI+ZS2zD7R1I6+X9PVjikIMOPk8Ih+CCQl0/eGwrI7Jm4HUo40rqLrhKiTVCaZgtM151fP2Ywj2haaxRGTmklpQmdNEYCc2IUzgrnUlnGeuHvjlpD/tiuMzNe4uHwGORKTQWclRB9GjBG7uS6FYY40ruZ6vcEYy8HBMVfrCy6fnaKUvJMSGlMkCooqOFdzcnDA8+uekBIv377Nb/z8z/DPfvA+5xd/Imf4n/4Qf/70iv/jf/z3uVwPGOukbT0UShxhZ8tSJRPJfHp1TVUvsNWCuD3f6dEnVBQqhMahbKSURNN2jLMnxYDShkAhhcCik6JI8hPOOeq6Y29xxOn5M46ObrC+vCAXD2jWmw1tU+PnUbJTYZJsu7ZoLbdYZx0pzcRiscqIPbQYOcQqCF4y40pB25yw8lcUJYXUMgSarpGbbNZyNa00hyd3mKeeaRxoGkfMkdW2p/jM0lmKgt57IagoR+1qQvAoMotmn82wwVgj9sKiMTFjazH/9TGwzQlPZp4HchpRzhJnj7NGmObJ0zY10zjjE+jYQZ64cdhwcbVFV1IsjF6oNyULN1VracDnJOtuhUElBbYiW8P+/i3CdMlq3ND0FmUjte1IVpN9gFQoBtbDRD9suNqOPH9+LS3yYcDGIprotKKyivd++F2GcUvXtZQwcbUehBykC019wrJbcrl5yj/98H28F9OjKoUSCvN2pGs6plmUzmgxtFZVyxwCJ3sH1K7lan3F/dNrDtoa1Sx59OQzfvvv/w7f+NKrLPdv8OLde+Rqybbf8MnDR/gyo4siRqEKEXsuV/e5urwv2yMVKUWTkEJQCRmS3KyTKtw/3dCwYZomZgW293S39gWhqcDWidY6coIpZ0xVkbJIQabtgHaGlAOgWC5qVErMQUrG682Kum3QRpGmSFMt0AluHR5zdfGcpms4OrzH2cV9wVuhOKhqLseeVDLPTs8JOZB2Bs+A4njvBFyh36wIOfPsegWrNZVteOX4Hr0foW0IIXBxsWHMa3AJV0vBkwLGahwFbRRkReMabt28yS//4s9jz66Im0t+98NT+tDjwiyHPGNo3IIwe5Iy+JixVcNXvvrzXF6c8vDBfWwBZUBVjjhvxSbrRc7mrKboGkxL1pNMmnNCVYpXjvf4b/+5t/i9Hz3nP/72A5Tp+PpXfoFPH/+I88tnzCnQNpWUXhUECpV1+FRQIbLdrKAyFJ0lh4zB2UDIWnLIRXKntqrRFnKYsaZGmY7F3pIQJlQyJBWJOdLWexzvae7eusWkWwqBpBUxaZQpFJWY/AzaCtFm9+KLKZJzojaaOARqV6Eo+KSIcZJCp594/uQJjW6p9mq+8bNf5d0PPuD6/orv3X9AyhlTGUqKtLXhZ+7d5cePnzEXJxcoV2OsIfiZGDIpzRht2Gwle6yxTIOncR1BZXwQTKrSRbKcBeoilJOiRMCiklh2AVIKtF3LPCYGHzHGMgc5wFk0yhhSRl7K2nHv9i0un59yffkYZyJKyZ8VSwZTMUe5mO5VNS/efZ35wYestmti5VgYw5955Tbf/Ow5RveELNSH1jXsLw5YBY+2kc12Rdt1uLpm2R2w7PY5P3vC737vAybkcy/NHmccvkRymjHKsH90l3G6IqcIEfrtFq2fk4qQseqmpjKKR6eXhO9+n6G/ptaOhWkY4sS8Ed51LAFdEpdBiEK5JLSVaIfE1BIF2fakqGQjOnt0TriqRsWJ2uxztr1kzp5//PFzFoslYUpgC6PvIRXaRrMZZrpmQdue0Ouax5cbvvPOu3TtAU9OH9P3A7ePllxebUAXbCz4mFExM2TPtz75ESEFKm1ggrnM1JXDOst2nlBaCpDWOcie66tTopEBkKsM5MQ0BD7sL/ns+TUpKxqtsUVRlKOtKw6ahsthQ4yaRGE7DoAMHpZdzRXCxTcF6T9UlqruSPOEs4WIlot/juiUqLqWYViTvOfzaF1M0pPKWQ6bShVKTmRVUCTKLgNdL/cEwRizxFqdxulCVVWkHEkxULT0d+od110pkcglxC6qbMUcInPwhKSpXbt710PSmuilelk7xVgKi8WCri64quDjmqBalLYUnZmHAVNpmsoS5kAAirNyeAwDpcj2i5Rxu//PdpJnWbmCSRVGy/OzWZ9ycNixWHZiUQ8ebRw5Blara3IK4lUpQucyGFKqoGTS5AWsnqQAXyjUriIDMWaU1lRVS/QenxLFZFpreenmPXxWXK0u+M4P3mU7jCg0TV1xvH+HlGYur+4TsxSib57cRSnN09NPKWiyyaASWhXqSvHVr3+Bf/atns3VJTlHVtsrYpEeQ/aJnDybcZS4Sr0kRy8RvSyQhuPDPa62A4d7h1Bg8iONU0xj5uzijFJbMpmQoFYGH0fa7pCcRP4XcwQNi+U+/XqirmoUg/Q5CgzjBq1kEq+KwlSaOEJbdYQ8yUa8CNp1s95wkQIlFzabkZwKJycL+OT/z4f4OSYeX1zLYS8n5iRlrIN6ST9PlF12OMQRrRr82NMG0aoXXVDaUFUVOWV88DtUGUJH2OmY52Hgwf1vo3KiqY9glhd2RUXwM5fhTDLjRZFVoBSNNgWnzf9HTomc5cChFegouUbrpOiSE6pA6xwaQz/N6EpJ/tI0pJLoxy1FJay2dFXDMA5ME6iid7QSUD6xWLTUrcVYg/cRXSxX11cQMtiCzYq6boh+om5bYirstR3BD6w2a7rFEqVllbxY7HFx+ZwSIGtwyvHjzx7zP/8//SfYVDh9donEyy05zpAsziluNTXP5sDhi7/GrRe/wfb+3+EL9/b5gx+8y5gCy2YfbRbM00CyckFwTU0ZR1mvqozTmnavppRE9APPn/yYveUB6yGycA7nEoMLaKN3GCvJw222M30/st5uUSmw2vbyM9aJKhdK8VxenAIV+wcHTGkmJcgKcQFoSFpy3CkXRn+FIVNpDVqQ1NYp2qamhECIM0lDZxdQEq4yfO3Vr1Cy551xxBTLdoeimnPgvQ/f4+OHH+500mJHnfue4GcoBbtwzGFiGj0HhxUqajZjT86NlPq6ijYU0YHj6GqHj4mYEk8v18xRcFW2rnFZ8/H5hNGWo0XHME+EqAgUii5M/VYeeGtQOQNqZ3FVuMoRvZRvtTE0WhPHmeIEv9pWjs2w4snZBj9l7KbGOo12msY4UIVffPNtfv+HP2AuElFb1EuxYOaEzpGNv+a//Bt/hd/7g99jvhjJjZENUsgcHy6J20jIDYoO9DUZT20dJwcV14Nh2o6sVqdYpYkhYBtHCgPnzy547913MZsVe9YAgdkP6FCIJcpz5Aw4i1GyeXCV5dGTB8zjhqw8Vte0VUPvRzJCu+jafQo1B0cHDNueOAWcMmRToazFVg0fnq/4X//DT9DugDlBYxpePH6TZ08fykHFOpytGEvm62/e5cGzKzZTwtYtw0Z8FMZnjhdLhmkiZogpU4qSGEZO+DmgrCF4UFjqzsmhOxXmMOJUhVJyWIDML3zxFW4dV/zN33ufYXc5rzslZkrX7vTiYr5WWXolkRmjLUY5lInY2rLtR6qssHUhTwlrDHdPbrN3eIPnq2ecXvRcnF2Si6EoS9MoUki7C6jm0dkWH4UYElMkhgmixmApVi5+IUssIcWCKo5aVXRNI2SQrFGm5ubNE64uLuRSniPL7oC2s5yvLtFOOgYaLfbeLIg6nQx7Nw9lm7JdiXnZNczTJAjVWPP40TO8nyg6UNU1qihstKRSpGhpJI64GQYe3r/PHAPOOcH/OcfpamA9DqgCmoxxBu0Sl6unsgFKGZUy8zRTd/v86p/61/nZn/3T/Ge/+//kRz/8Q8o8QYkUIq5e0gKVLVxvMttpTQgTwSuUWzCOV8SrkaapKbGiMYZf+8bP8N0ff8wnT56ikcLvGGc8CcaEygqjd0hOQBFxWpMQE7fZaep9gsknvJppWukRFK2ZcuD+5QBGCt3aNYQIz58/B5Wo6wadNKnMjNsB0PjJM09bQs5cXF3x7T/8PUaveHJ+xfPTFWHu8cUQVKJZdoTtQImJ1hmykdx/UmKUVUUxjjN+kuGaCMEU03bDra7ll1+4y7dO1+hmySptiL5IjNPKktxoRdSWqlgy8MoLr/ALX/sKv/dP/4inzx5R1TV+h9xFKS7GiQykOJONpVgDMUBxqFKYU8Y4R1vV+JjJXrbsBohzoGhNV1lkTxfJMUrHih35BQNaybZGFcbt9W5r2KJUFix20dgpEtOAsoWcZPurjSYHEQMq7VAxcLy/gCwkI2MUzrrdwMGxqPfYTCsygawslbP85s+e8Atfu8GLN2r2m5r1FPju++f8o28948MnMxgheIWQQct7Oo2eosDhyFojTCRAazKKzlbo5R7Ddo3A2iT6R0m8cvOIP/X1N/kn3/6ID+8/FDqXUYQUcEVTtZY0z8TgsbbeZe0LWlXE4immoDIYZanalmkQeZTSWqzNlRDT7u7fwSc43L/JarthCp5cothmLQzzlvH8M7QuUATK0C465hS5c+M2959/zNn1mtokfIjUOK4u1nzw8UP8OO0GeoZ57tHWUIJsHSgaU2eaqsPZFtLAl159hT/+8EOykc1uDpk5RNqmZn29JdaOvYMDVtsB5oKm0DhNXTJBaaZhg6Wga0v0kRQV27U4aobQ72Rbhug9qURKBmdqOatoR1svWR7d5er5J7iYMJWYX4OKGGtIKLbDwN/7w+/C5/HsP4Gvn5pOc/vuPfp+Q2Mr/DSz7BZcDWvuHL7IMG5JytMPM8ok9rsTDpcv4qdzLrfPmeaIsQqrHct2wfX2CmsLY4h07YJ5DnLInUecq0hRJpSz96KuNZW0oQU2xOwjtjLkmDE7kUSIHowjxYApBreDXESxP2OrCq0tyhhu3LjL9dUZeVozzIkpBWrjJD+urchrcqata4rSTMGLOEjB8vBl0rxls37O8uAm4/aaki2ma0jbKwqGrl7g88CiavExEWbP4Z2XuXnjVT796FuEqafsHpj9g2P6fkMsiZgmKTxmjzMVlWvQWoEqGGewbo8YJq4vnwMaVWkWWoNRZHsL646I24e0jZHD6Rw42L/Jr37153jv43d4fLkzo+4dYFNitb4GCif7+3zpS6/w3fc+ZBoSi0VH2wqCb39/wXHb0nQdaCe3VJ+IyTOMnu0wsOln/LxhPY0UL44AmyGxKxMXi7KGMUir26BkGgkYFG2zT/QDUxxQWJpK8IygiTnJxDqJtKc4me5YbTG2wuhKkFfbK7Q1DFOUnLySyBA5U8jye5U8VkmsKXohEikrfYtKG4ytmP1AiLJexURMgZQVVbWkqivmqWeOE9YYGlORFIQSsBoOlh1v3DnihcM9Hq8mPvr0KWPW9OOMVpnFsqMfe2y27B/d4PryqayjdUZFqKqKmBNOyaFAW4O2llsntzm7fM40rjEojKqoascQ5NJgMiyblut+Q8wZqyqMrclllMa9cjSVw9ma1XBNiZmiFaUEYUNrR9aJHApV21BVFVO/xljNntacbkbpahjJmmIajLZ431Okb0rOBqc1R0eHnF2eklKmbSpCVjTOQZgJZOYs/OZ5lrKvyrJyTCGSlaLqanIMOLegrhveelVkOdebK1bPz0latiYKjY+ZRWeYx5mE5ujgLtMwsO7PMFY2TXXbYNC88epLXG1m7j96hDOGqjVs11saa9lrG1aj6OPr2uJDZtFWrPuJEnclc6fxqaDrihRGLIIb01aTfWL2IxA4bFpaZ7iaPClrUvQipQKMFRpEKtC0mnkSIUlRgcpafu1LX+am07x/9px3nj7n6OgWX37xJb733rtc9WuWzQJV1Zic0K5ms77GdZ0In1Lgq6+9ysX1FWfXW3xJqCwH2WKtmIaTgVwY47j7PNQUldDpX8Qhm86BqnC6Zv+gQauKJ08fU0rg6OSI//pv/Vsc37zL//Zv/oc8ef6MUuTzoGkFeWs1jKOnahwUwzQNOKMoukJpJdPsBNVuYzUGuSQ5owlexCsFYUhX9YJp01OUsPaNE5Prwf4eMWVWqysqa3ntpRe5uN4wzBOk3aYxJ5w1jClx4/gl/uq/89/n537uV/gP/8//U/T6ASat+L13PiSoQttU/Mbbd/mFL7/A//K3v8P1NlDXhls3bxDnxNn1JSFEiSgmqLTj7o1DHp1dMu42pMFHtNIYxL2niqFra4ldoVHl8whNi22F/b9oW9b9mtou6OeeRWeZfCIUg0qZvcbRx5HsC0qLlTOR0Chqu+T4eElDIfnE6faKOYMxLYu64UtvvMV6fcWYFVd9IsfnDJseVdf4aUYXjSajlIFd98JUQjpDKw6PlpxfXOKsyL3i7ClFbNvGStlbmxrrDNeba5E45YRxmko3hCTCvq5pKarhxvELfOGNN/n2d3+fflqRUtoRwaSYjoK6qZlmmRKromE3DTXWkHLk5Ogm1xcricdoTSoik9JaLMEGxegnXG1JIWNKwriKKc0obTBa05iOKXnCjjzijENlib2oJKitnP2uJGtoqo7gBSdYuQVN1+GnLb/+q3+W+/cf8PGjT+R9oBusEcuxq1rZ4ObEK7dq/rt//YsEn/kHf/ycDx+MfO3uyzSNZi6n/OafeoFPH6/53//2p6Qkg7R+GgHQBnQqO2yiGEcTUbaLRWPUjpOuoFJKhqM7EPvbL9zjZ774Kv/snR/z+MkZqRRh0SuDSom6azDRM8VAV2tmb/AxYp3GKEXXLrnu16ii5PM6eqrKEKPQmuKu0HxyeBPvI8pp/O492rUNz87PKcjnmzYIontH29NKMLVZGYn2Gs9C14xBhmJmx0+32hLSRCpipzafo8C9IB1jiehSaNqGmAvLbsk4JUryZDWTk8Y1DX6ewQcO2wNu3r3NRw8+piQhGr1w3PHfevsl/vNPnvKPn10SExI7LECJOyCBI8YgHUZjaPdbrq6uaJxcRpQp6GwkF19VTMMKXWCxPGC7vULpTFtVbAZPW7dUlYNQON+In+Nf9vXTHM9/6kP8wcERMSRsrblVOV65ccK3HzwU5FzJlBTJRZOVx9kap1v8NFCMpLL3uj36STLb3aJjHC+JMXO4t5SVT9bE5IlhRhewVcPsZ5rKCSdXgcqJk/19LoaRcRxxKpJsLRhGlWlszTRueevGAT9/b5+/+4PHRG1EOlUUzhisbdg7vsXZs0e8/vJLBD9z/+wJJRWB+SuNNoJuijHS2IYYIslEKtuibUMIWyiZSjtSltxuAEgRa1sOqiWbaY0ygegTi+UeUxCravJbtPLEWb5frm6pjKNtai6uz4XCoXarO7PL32nDwcExL915lYvrU56dPsBoRygRrZM8CElEVyVJgbKUQtUecOj2efHOTU43lzw6e8zcD1TNkhI8FKEjoAy2avB+lCzu/pJSIo1qOTo84a2bjpuHh3x8FWQlCYQ5sZl6zjeXxDlBCKz9RAqJuqqIEZSRrUmKHozGIsKLXGSCvJ1HlMmCc9tx8YmRoiyuacg+kPy4U3YLy17pSggpSuOMYc5eGOYojFLMO4RZ63ZbHz/uGuhGcmpFXAYoUaIXJb8Xt24cs50mri+vyFlkUs5qrFGkWLh151XefusrfOc7f8hqc03lLK/cvc1br7/Kt995l+vthi+8fIO/8qtv89U3bvM3/uF7fOe9x1z1I83ymPV6jbOZ/f0jypzox5E5jtjKMWXBHLZ1TURhsiDYss0oxBFR1bLB+TwPGeOMczUhZurKEoLHVRXRR4ml5YBOWfKSqiEzitW2FFTKYKz0M4yWeFmJshEIUaJwSjP5njAlrJJCOEoRCdRNjQowxAwa2sbhJ0UsIzeO9sgZNqNHxUI2haZakuKGXKLQhXS9m4LK5MnWNSpGTFUTk6cylpTh3r1X+LVf+fP83M//BT7+7EN+73f/DkNY8+zJB5QCh3tHPN+cy9+nKLRRNK7D55naOpwuDPPML3/pLkMf+fSy52o9o/WO650yRhkxAjqhnay3W6yxLLsFm3nAGIMpWT7bcsQ6KUftN8dkBdO4oR8GIRsohYoJZQy5ZCrXoiqEoR8VxhQaA7OXulWIM223czKUzPHyiC+c3OLh9SnPrrckZ/jaqy/y8cOnbOaRZb3HMG1Z1C2/+LWv8/5HP+aiH8glUGLkCy+9wjhP3H/6dCeiKty7fcDp8x4fhXZEjGi3JOuJECPdokXhCH5gHD3dombYzriqBZ13xf1CLpnjvY5/69f/Dfb3D/l//Gd/n/OLc5RRzNMsgIG6QSkY54mC4uX9G4xx5rLfknIWzF2UKE4JeYdVKFg0VbPEh5mDxZJxmvC7nO049yhn0QLlJceIwtBYw3aaQCluneyzXQ+MIaGMRinpQeRSOGk7vvrqq6z0LZq9m5w++hH7xjOMVzy+2jCHLTFnbi4cB3sdD656oi8sK8df+3d/i5QVf+O3/1PmceQv/Mxr9BN896OHrKdehgBGkzVEn6FknK2JyLtBVqeFBNTKYiwMswYCisLJjRdYLPbYr/Z48PhjtuMlWSmU0RgLeZ6IqpKNc5IeUFGF4BP77T7aZnwI1It99l3F+dBjrSV7+bnGaSI6S0wawsS9m6+x6i84vzwHlWmcohiLSoaQJlQMYCSSUjcdYz/gjCZliTGWkrCmwZmaUDxVrWTLM0rPS2OoTcVMFBNnDj/Bc2pqbCn4NO9+jgFMTcozzsog6ubBPldbz+i3ZC8jO+Mk+mmNpbZLpuRRKqNyIqQ1owOpAAEAAElEQVS0EyAVsi/UTUM/9izaBU5bhlFim0WLccUWS123TGkkzAPadixay2a9QTmDLTI0KjsHQ0q7g6BxEq1DuhfGQrvYI09pt+mcyVjpCCqJ32Eir9yw/A//qz/D3/rP7/Pt97aUqqVQ0doC2WLTjDGB3/rzN9lrLf+zv3GfohzjvMX7WTY2ymCVw+nM5CciFdZCTlrcM1ajdY114OdAbQ1GOXxK1E0FwLDtZetrFKZokQMiJeWSohBitHiAIFHVIoEMJcvmoshlr2lbtAE/zcSw4/ibmts37nJ8eIN3P/iuUMIUP7FcG1PRVA17+5rTixUheKypKFmRSqHSkHRGFyMbwBJxyP/m2gVNVXH76IiiG9KceHb5lNkPuyFRh9qZmLWTP/Pu3S/z+On76DxzdLBku+kZo3gpYgjUtSP4WbL/StMaxV945ZinV55vn18TtKJyC4LfEksmZzB1C2FGIRfeg4MFMRvGIMADowzTuMGgSDqD0dy88RJFL7h89iGpJFpjxXiNIMoBttvN/1dCzU9zPP+p6TQ+BFmFjoHzyfPtB48ZQ5Gpg1ECwq8rjLJ0thHcT5TbmtGa5V4DKaNUQOci0oVUuN4MJF/IfqIkyYsXpVju7dG1LdPsGf0k5U8UtXIsl0foosVSmRA99RxZb9eA3ErfuHXM4bJlzhFEX8I0zmyHFRdPPkaliURijoK6KlkmltYJk17pLAiq6IWfnBTj0LNZnTHPIzkELJY3X/856uYIYsYoaHalteXyWLCY2rKdAmHeMq6foo0nlgRG8vcxjvjQM04rUooymUBu2d5nSGJZvHl8wu07N2WSq7QgM3MhFQNKVMk57f6uTUcuhn5zxdnVZ3zn/e/x8MFnu9uzxpRAioGQM0UVihbxlcZgqgo/93g/ka2nnzdsthPPr1aMfsP1dsPV+orrfsvV+ppxDqgU8bHQ1Au6dgFRcuSxZFzb4DqHtorZR5QR9OCUZinfkcUsR6HWbldgVsRpROX0E752DsISbuqKZrGHMpDLLBNzIjiLWxxgUDRUfOXeF+lcLREgI3GdyjTS6jdGTJxWtispRp5fXjLMHlfVGCvk85QQDrpVPDt9yEcf/ZCUJTfb1gdMccG7P/yUq35kUdVcjyPr2fPo9IrLfgblsBTW1+dkZhJCGJhDz8s3bvPSjZd56e4+J4d7uLqSDZNtcLYSKskc0SXTWCeRp7oTHFZKhJ2mXmUIMdK2DTcPb+O0ISSZCrtKNPfFTLS25eVbt6iskcxzGikFcpT1/cIpTvZqcsykMOGnAV001aIhEFAGFvsLaOVS+8Kr97h1skSjGUdPVDMWxcXVhvWmR1FR1zXOWsbxCkVBkDOK+LkFtOwMkFk8EjkHUIaUAipHrvsI+oQXXniLrtsnppl+dbY79MLZ6hkELzjZktHWMvueeRwY/cxq8OSkePRoxTdu36CLM8YkSkm4ytE2IhzRtvCFu3d55fAEoxS1kQJUpS1vvnyLG4ct+7Xl5aMlr9885rDeR0XFZnXB7Ge00pAdxjhw0sOx1qGMXKCIgWIhlbw77CAvOGeJIe949461H/jOkyecrgeyrfCT55PHT+lTQFtDP6533gj46METnl+tmKYepTV1t8cHDx+z3kwUJZOkEArPnvfkVGjrVihHKKb5GlVmSgz0/Uzf9+RiaBc1MSZ5PHLeyeocjW2Ei+0s//S7f8w3f/B96sVStgta737OjmEY2W4HVMzolHi2uWRMSfL4ShN3PYfaGVzVEELakXwqIQuVzGbqCUWhK0NInqaq5H2RCrkoYjFicVZKyn3OcLZaE1RGWSS7WhQ+jKRcmKaRw8Yznv2Id773Ozw7/ZgPTx/y/tPHTHFEOU2qFKfXgQenEyY7Ku0IuvCt777D7/3+P2eetiwaSx/ho6fPGf0MWqaiKUXIha5rdxi7IIdUMt575skTQ2AYe3wEiuBkcw5cXT/DTzOfPvmQzbAi5kxta1L0zP3MnDK2BHKY8TFQSmH2XuhVWjFlxRgT4+zJeg8VDWVKEBNnF+diog0QxgFVNC++8iWMa8BK9jgriD4QxrVYoZuanCJGFYyqMbtC4cHJbVIWrN/nmMBSMv16wuWKRV1jjOHFF17iy29/hVwKy6MjQhbkX8mZKawY4oZQgmzhtIYScLahqZbcuvESz86uxRydBaPZNTVWAaUwR5hKpMRADOPuUC1EOz9PaJ34lddv8erxPskPrLZXBF3wJeC9XNaPbt1huX9CmGeqtqNdLtj0211+GVRJO6GdDCWNctSmwhpxJFRWZuG2KHw/EHxPJmLblv3lDcT2IkK51hb+e/+VL/O3f/8x3/9Es9w74oWjm3zx5Tt88fU73LmxR7e/JBTH/+E/OQMF//Zv3CBHiRDXriKGxOu3X+Ybb32RkCVMo40mFSHDNN2C2i3Y379LyhVffPVFfu4Lb8jgVGX84NmvD2nrJc5oFssFUCgpUhXw84gqELMlUjCVE7lm1VG0YKVzLmAlvjyNa2KcsVFEWF3d8doLr7FeP+dHH/6AmAIY2SwXo6VHpDSmXXK26ilBuoFlJ12yzqINQGH2s2BxrSOU3eG1FG7dvss3vvYzXK0uePT8IbPfytAiJ+Ywg1FU2omLAMP15WeUOKCU4tatt1kubu4+bwuukWFV2RWYlYYpw9/77II/Xo3cffEGb79yg6bqeOH2S3SLBYvlkr1uj9o43nz5VZyD682WlBTzNHFrecI3XvkKFuTSs3P9jNue9eUDyfkbidRapdEFSAmdkwzG/gS+fnrZU9uJ8jwJASCFRDEaZzQxBoxzHOzvs766omuWKKXZDlthXCuNCh52DWeRKhmapiUMA0Ujk0MtxBqna2zd4OeReZrRTguCUoPWhspowTEVJRIdBRnFXBIORde0LJuKzXYgKFlDTSGjSWigqlqmacItOuI8S3s6SyGGoqW0pQo5Z9q2ZhoHYpIPMV2UyECc5ebJa/zFf/Ov8w//4d/kyfMP6Nw+Pnli8igaUp6ojGRmY/AopQUxtBNNalczzZM8+kXafdYKSslasctZlaHWaFOzaI7ZbC+otN1tLSLFyt8v+l02Vavd90WjVSZpjS6CZkQJ/1iV3VQsKYytOW4qfvUrX+GdRw95+PSplAyzQleSlT04OKBzDmUWOOfY9hekcSarxJSEflOcIfvCPI0EP6CrDh9GqsqSgiKzKw9qi5Lhv3QUlMYqJfGIHNDGcmOxx3YeCSkJ11oVQgxUBiFWVBXDdoUDkq5IKtO4BlcvmIdrVLHc3j/idHtBjDMpZooCWwyuMoSciElKOkoJrtApS8xKfhYmC8u9WFBFUGBFcdQtCMkzzZ6qXXLj5CWenX7C4bJjO2+pKsMrJwcc7VVcz5mzZyOrYUs/jlIoNqBKJVP0rkIljTGRyQfBjxaE7GLMzlSbsI1BKcfR4QnzHNmuL1AWQgCLpTKGqAqqBA67E0pVMWzO8GEGI0VEpTI3Frd48fYJ3/ngh7i6YRx7LIq23aMPAy/uOf7iV1/nt999zHW/xeyMmnNIlCR9CKMU9dKx6CpuLE/o55nLbWC9vkQXzZ3DE27fusEH9z8i+oStu50Bd8Soirhb14YQ0brgtGNOkRQiViuquiKGjOscqWjIhldf+xovv/AWq/U5j+7/gOvLM2Y/UNcNPkuBUFt45eQQi+XB5RXRF3yWGIxl5rXDllvLjvefjWxyJOyoTU0rkbxhO3Ow7EhAow0vHy34+HJNLJlf+vIrPH52TfSB3/qVV/jyK7f5D377Bzy47NlOW5QxaG1ZNhXrUaalxtZApERNt+y4urjAOr3j8M8SO6kVtWtQRTPuLi0KeXYtSi5YJaGVQuKqUlrTSuOc5WBxLFjFNPLS3Ze48/KLfO+P/xhjLFebSxJSPjFaMtglyHTL6gZtC7PfUjBS2iaQoqW2GqMKul7w4snL4DJPnz6jcQ3PL59iHDgjNuJ5nuVihjyb1sr3MqMxRoq7lXU/iWoUpG8AhcpZnLOkHIl+hxE2iqaqqSrLFAtOJTZTxqlCVomcFORISJmmquSiokSQpTUkP1G0FjxnMaz9BM6gU2LZOXRRTD5z72Cf2mkebTeMY5TirjE7hngix0TbLJiSRxcIpaCL4+T4gAbFdX9FnBNFweg9RhmyiThTiWioWAqR5XKP6D1xhyNUSlOSJpaZShvZAFqLqZYUP1KSp4+RxhnpOQTYO6jRusXHwjRLt+DzDU8qs0yilWAED47usbo65c69V3ny9GOxi1uLVTUhDaiQqbuWlGHOQsEysSKUAsjz2GlL72f29vdwdsk4bneFTosPI6potDa7w5YB4PbxDWJJjNPMz/3M23z0ySMuVz2FjCIQSKQQsMrifcAasTWnmKhNw1e++g0OFkvKPPODD96l9wO2rum3G5F0IRNwoyy6UsyD4FtVkcGisVY6KcVxstcSsmc1enJWqEqjU0aVTLu4TUmBYd5QcuDo4DbL5RHnVw/Ybrc/QRKanYdh/3BP+nXFUnKk7zcSaykFq2VbsWhaUowoa0lRzMRKaaq24dd/4QZ/5mu3+L/94y3RBw6WS16+fcLt4wMMiattz9n5lofnl5yerzloRv7H/82v8D/6X3yfs5UnppmcYL/ZY9nVPF9fYm2FDwFrG5GyKdjb26P3nmHc8NYLL6LrzMPn12z7LRrFXtvIRSok5uwFCoA8J66SrfY4ztQ6CZnLOLSDVJSUg5P0XOquIvlE3dY7UoundhU6GyKZWDx1syTPI9F76p38iiyemHrZUoJi22+wRmGV4vay4RsvvsA/+uQh/TSKDwG5WDprWdT7pB2pqTIVq17M6uPkSVkiipCEdmWFnndycAxkLq5PaZsDpjCRfI/rFuyZhs2wkXcDCKq6FMFex8JR19I0mieXA1985WU+fvApBaTPM245WCwZxpk5yvcRoLYdi64lpoHNMIMqO2a9IeeIUhXaFYxSSAVVQcmYUhimCR/jv/Tc/Sc6iadAjvLhVZIUv0iJ4INw2pOVh8E55uTZ9CuxK+ZM9p5cKl576cscHN0khEhKE9vtloAnZCHFWO1IUUxZ4zQTojR6FYW6dpLvTSJDOlos6JaHQCYUeXmorIlotmPP9TiTXEOMmWmesJgdF1gJQUUhvNeiqeuKbm9B09Q0zuC0EaOnsjjdYRdLKtfR1Q3GFJQyGLvg+vKU3/5b/wGr9SmxKMZ5yxw8ztVoJbKFOUdiLDjlONw/BGUJqVCKYh53IgqQqZ2Wl45VgolURvTvYU6M/YaL88eUeWKMgXmWTNnnL360w1ihBaAKTVvvIjkKbWoOuwPu3jqk0mLgTLNHp0gMPaFEnq97Zi8FZUzH3uKYo+aAEiPrzYTpjkmpcLW6wseZYmZmHylpYj2ONHrJn//VP8PP/8ybmMYR44BWhmmY8PMIBmzlKGQWyyW5FHKWDG4qmTlMVIBB49oWrR1ZF7LVpODp6lr6CtkzTQMqK5FOlMSNgxPCPDGsnhNixMctF+tnWC2KZ1s7KmvQlSarjCnyENe1RmeoTYurDXWj6JZ7pGJEQPI5g5yCtQWfAv004ksg+5nSX9PWHZuxR5fMvq15dLHmnU/XfPpwxXU/EHwENFkZYjYYnalqh4qKlCNziChlOTi4Q9t22FKIOdC4FqMMYcp4H7m+uma7HYhRQdKYnKkM9MOaMG65sTjg7TsvMK0uydmTU2EaZ6KfiT5x1l/wxz9+D21a9rsTjNZ03ZJ+Hkhkng+Fv/39B2ynLaiMz4UpeprKYCorrXyn8UPh/GzkowePeX55TZlnrLZYq7l3+yUaZdHF8UK3x0JpyY/rhpAisXhiLhjjUEoTlUcZiYvFoogxY61m0R3i55l5Gvjsk+/yh9/827z37jfZbLZMKaCrjpI0pjjuHu/x5gs3+HNvvcwX7xzz/+btv54uy9L7TOxZdu993GfTVmWWb1dt0ehuuCFAEOTQSBQpxxgppAjFKEJXCoWkW0n3+gPmRgwpNBOUNCQhajhBgARADkk00ETbqq6uLm/SZ37+uO2W1cU6XbxSDBRkMG+rIrvr+87Ze633/f2ex3vP3C64eXSbaWO5Oan5H3zhDv/H3/kqX71RjJQiSYxsSFExnU2oG8sYI3sHU54/nvJXv/oSlZSIrHnzwyfcf3aJS543Pj7jH33vI842A4MLmHpCTplf+dpX+N/+nb/J5+/chSQYumIqvnXzmN/4xhexlcSqCbePX0BLVSIPUTK6nmHssBJUluW5kCIheJLIqKYGpcpUP4HSFqMUIXg246YckXIgkHbUnpHtsCLFVEqyFHRgTgJ06Z8QXRGToJjUE/7yV7/EcbNHirFwrLPg4Ph5/sf/s/89f+2/+59ycHCEbQyBcoDuxhHftuA9fuepqExd1v5So6Quw4NybadZVDuDq8Damso0CClxQ8QPpYDWNIamsSQBY05oqxlGECKWYlsy1PW0MMAbRVaC4AMQUUSaRtJMGmxlSNExJs/x8W2sVqAEQ1RsQ2Svtvz6C8f8lc/fos6alCJaKBaLmxwfHRcUppD07ci1+fM0ZoKSoLJnGDpsPSFkGKNDKElla4Io28IcEjFJpNBMmwVGVoSYUcagpUbEiDGG2XRCZSrmzR6Hhze5e+OQw8MDRKW5fbDgeH+OwHPn8IC/9p0vM60stTJMbP1ZjyGURzwWQUrlRT90S2Iaefz4g8KjF6VLFdyIEhqhLUPfMbgeKRUmGaLgs0ihVJI2eDIFBbjpLxlTj9GakAfsZEY9NYTUl2x1DJAj282KzbZcCN9+9z3W6w2T2T7P3XqZWs9II1gME1NjlSlQit1lLmbJ48cPWK9X/IUvv871xX4hnmTBbDbbuU7KdqWeTnGjR1qDUZMSrRSy/M5UhdCCq7anD5La2kIDignvdv267ox1e1aIeNZydP0FZnvXCqs/lUhXJpOEIAmQWXF7/zpCKEafyvtVVRBV2eo2hq/evcViPgGRyaIANLQyyJj5rV+6xr/+wROcjyymE16+e8yXXrnO51884rWXb/LaC9e4c/OQOzdn3DpasOkV956s+cLzVcn8K41Ris3Y8mx9RRQS89n5o3R37nzuOzipSeMWgeLRyQn3H5zhQ0KKgtK9XG1KblsmpBY0xjCdTsgiE8LA2LdIlZF2grQlSlzcM4WeZY1CCk0YEkoa2k2PEJa96X4p98ey8dWioTENORZ6TQqlx7ZYzKlMxULvMQyFEPMLqePaJ37w6GH5+QqFMjUiJ6wSCKAdCqa5G3tu3X6Nm9deplaG2UTTTAxSlQilQSJzIcc1071yOPaJzfqcmAeELIS+9XqJC46coNKGw0W5qC0ODqmt4HKz4fwyMlULPvjoPZwvhCNjFDIrrrZbYpbs7R1g1IRvfOk3uHP7VTbbFd0wftbdQAi0kuWSIwpeNUVFcr5cUKqaIAThzzc//2/98+em08RcsrdlvSJJqawvpZC0/YBEIDIorVFWInND5zzsJh0g+PTTdzD1hLqqSbnEKfqSACESiUkQUmIxtYBk24OpKyotGVzB9hip8GPiMvboKuNL7BBlE7XWIBXOgxvHEreQErRBE0vrOymUKTmmvu+xRkEo67qccym9mZrWj9TKkHKiQWEPDtlsz0ip5GP7YYNG0LoV2hg0RUdcxFBTerdF+Mj+/BoZGDZXLLsNIXpsUxGHHe0lF1uZzGUynFKRN2kl6Qe/m65L6sogRc3hZE4fAiv3rFjLlEaIxBgFPiaULD8PHz3SCKLLJdoUI688/zpNc4OPP3mLmHW5OOREOwz86L2fIlLJy0k/0uaEVgFFZDqpuXn8Eu999INy0A+e7B0uJXwMSGUZEZwsN2zbrnyhlNjltxUYaKqGMDiqytK1m1LIrDRuGJCiTKZcAkHi6dljpCxu3Sw8WUIIHpTASFFYvlaRhEIKVVbNZKwxSKUJPmIqi66muJCYN1NW2wvETmQipEQ2ijB6pLC03tMIg67AhRatIASNVg0H+5be9wTvC5ITiVUaHz0Pr55w48Yd8hB44Wif3/m1r/BP//gtnl1eIqQlJU/SmhgdQhhECoRI8Rwg0Ers9PSKg705LD3bMTBvpkgEzoOCkvkMAymBNVOC3yClZIwOJQW/9PrnuLhoef/RQzpfuPNalriBFJCQ+OCpK0n0nsF3aKtwqRygsw8MsSemsvqWMlNZTQiKmMtlV0iJQTNmgQ8BZRqUlIXtnAJYxTv3P4RcDMJb+W9thjl7FJKcyoUsS42UCpXKFk9KVXonv8BHDj1KJgQGUsTFcilBa5raUimDc55r832ODmru3j7m3qbn/fvnVLrm1gJWDKxjZikzD9qBi+1AZS1VM6UfB1J0yJgZKBi4EAXttmOymPF3//hnLDuH0ILQFbSbkJZPlyOb1QZNKtIUZZk0FfuzBfeeXZCFQlcVWSsmtaUdOs4vtyhRMUTPanBMFnt0682OhmV2F1FwKUICbRRFZBPJyZXydlZIG4jGkv1IjJGxH4g6MGssH977gPvPHhF9z92b17i66tiOCUMg20xImRTAGlWEXspyOLtG5zo+fHRK7+NnB78UJFIIxlgO0l3vWK0fM6lsYUSjS3QlSZSCkCK4jGpM+V2nxLQ5JrQXpCz4/MtfofcDH370HjFnKmsxQtEOHSl4UkwEF0hyJ7nJFTJldGX53K3nyFJysWpBWM6GQpRRAtgV9MacyENCZk0/FjyeUnCxfAY5I4m7zaPm5v6Eb750nfcuJN/5pd/kT9/613Rtx+bqCbY25BiJgFWR86snJVYXE9evXefm3Vu898HHu+ifQOeEUiXOqJIqGX7TcHx0g7ZbFTeKAKsrgveEOGKNIPrMbDJlMa/59e98jVfuvsCP3n6HN3/2DmIc2W4HlLZ87sVjZqai7VtkVXPt4Ij7Dx+UZ+bYIUQR58mciCLRjy2Nrbhz6zYn5+f4EImxvH82bkP23S7PLWGMoDWZSFXZEjcgIiuFGwM+OlKOCDRJF85/UzeMw0hTNQzjiNzF14Z+QFUNIpXBWxKJYXOC69YFpyxLptqH8i52MaFkydk74RlE4IOHD7naLDm9uiDliHctN68dkFNguxOtHR3coK73uDx7RDIlWqmkRJoMlN5OyJHF5BpXqwtU9hzvHeN8KsbnHWklp0CImYf33ykDH7fBGE0lLWnsiyUe2LqR8/WaTbsihcR0MmcYBqRRhTEfEj+5/xgfQinH7uI4IWW0gEUl+OThkmo+x2rBXl1zvJjx+su3aJqKDx48ox8Tl9st+5ORtRG888kln39lnx98sME7iltC7Z7ldsp0PqXvNwgMVjdcndyj71fsHRxyc37EanXBerXihemC+2NLTKJEfG3D2A8F5YhAB4EiM/qANVXZAmuQWu82EgYlBIvZgouri+IiqCzRB6TQpBxo24Gky4ak0VWJ2jhd3tfZYJQm4DDaMHQDl8uz8qy3Cis1EU87jLhU4ULA6Ibja6/w+NH7KBVJOQLl/WxsxdHN2yQil8unNJMFe4uKRw9OEAmSkvjkiH7g/r330FJQCclzt26xDY6LiwtCSFitaFRFGB1fef0LHB4c8id/9iO6dUeUNaJKxQ8TB3wCow1za7F6iq8hx5EwOoZec/36ba5W51yuz6kWe6yXV+BG0AKtJT6KUkT25QyslCxbGiXpty3aliFrsYT+BzrEQ0bmckMKOZcSpTRkH2hqQcrl4GykJUVZiDDSktK2rM9SWSlev3mHKrRcLc9YbfrPjGopuEItMAbvI/WkZpGLRbHdFrud1iU+I6WErOj6FY1tyDEzn85IeaCpJ1xcBIKINEoRlUCMAWk1SciS+0uJvu+RssiS9iZTejfiU2CMRbiQFAwxwdCjgM4N5WAqVXmp7ibEUpRcq1GaJBNaBO7c/SLaHvDzn/4hVmu6dkXKnigEVa0Zup6mbgpRZ7eiE7mspuMuz5oGV5raulBajJljpWA626MaHNv2bMd+TWVilfPOyAemmhIZCh8211SL64iUCJ1ECUPOmZDLAVGRSB6Qskzyhx6hAi4l1nk3kV0tefeDNxg3S3oiJitGXzKaJcMf2KzP+P6bJ4AjoXFDOTSCZDKbEhMoadi2W5SVxTSqDdEpUhwK9jJI7EwxDJIwRrTSxDighGL0sLBTbu5NWbuW67M5jzcdm03H2K7I2eGosEmQ0LTekftA0xSpjHfl1i6lRCmFH0r+OokE2eMTpGBxYyAGx05yx2uvvkSOmTfffp926BCqYM2iyCwqix+u6DYdm2bG2UWPi9B2LYmRpqrBRJxTyFA8BEmIYi7UhQxCVKAU2+6c0Tmy1sX6mXqqSuKHQHQRFxKTeoJLW7TOyJyJWfPK8YwvHh3y4yHxbHPKYv+AZbfGdwPWGDKZZtLQbzoMBo+jcyuSF9RVxkxrgrOE0KI1OF8mZFVW9GNfbJ5KotWEL33hy7jR8fP336HRluefv8FHn3xa0GF9omO7O/gozodSsjIVBB+obFNMy6JcCJRSVNWEYXVVphVKYLRi9IHtaoWWmVduTrm2V/Ozh0vCjmYQh4HROGKA1XaDIPLbv/xFbhzv8eBiydVmw8eXLfszySuHC+6fL/mDTy74ow9P6KNAC0NdTfBhYGIUm3ZEN5YsMu0Y8OdXSKHLFieWgmSlDc5F1ldratOgNQQdiFHhw8h3f/QGAcW8WtAPI8F7xm6LQNIuByYTC13L8vIxzieqyhJSoTtJaYotVQi0NSgFiYyuakI/YirJ/q1D5nXhkm+GhNKaqq5QWZFGiZINKRYLcwrlGS1VIroAoVTRK1uKnlI3mAzt2BJIfHR2RgXs7e3Ttx3aWrrNJX/vP/8/MPQDfbdFWcW0mXJ+elmmdkoW3jMJKUFVpmxMRUEpjqFFAN5H7j9+BsmBNyA87bYrxUQhefHObdpNx/mySMV8Dnjf4/1AZRua6Yyriws22wvcCM/duM1ydYKPDieLKCklwdA6TKMLqjYGciqXbakUVhWR1vXjYw5u3+a/eOMTVuvA4e1X0KYhpBFtFGHc6dF9wOFIqUf4UsxrXc+nn34CPqK1KNuzbPibv/QKn5z3tKPgrXuP0DnQry/wrtBFGmvRUhTpIIqRHqMKgeTOrRv85q/+Mt/+5tcIKvDpvSfcv/qEYRww2vLc4THvfPoEP44spvtcXmzKxmoY0ZVB7bYrwSUaLEIpujCw7cZSGs4Z21QkIsTEZHFAu92U+EcuYholi7wMIQkeEruliTSEVCKzIUfqusG5FiUkQwggEkHkcjGvFGMYiFEihKKqyoXV1IUutWmviptAJKb1FC3rgpbNGZIj9D3DOPKgOyOlgDHlSDKEDNJQVYnDxTHPnjxACMgp4Lzm6PgGw7hBqBplDN3qCiky636FMIlaz3nhxjGPzzastsud9TphrMHUmnazYjqZkWI52D7/0gs8e3ZK369RArIPXF5dFkjCZMo3vvzL/Pz9dzjfnNEoQcq5CJ5iRilF1goRPDkmzERRTwwOg4yB2jYlcw9YI5g3honR5X2uLJVuSgRIzNnbm5JosDbgUiCNgT4FlPdEt6Wu5nz9C9/go3sfc7l+hNtFuiYLV545IjHgUEqQnOC5525yfnVZAARVQ99tGWPx8/i2/B6ULNs9Wynq2RQxatbtFSE5Ui7DsRef+zInp49KrCskrICRTC0Tw+BIwbNeb6kniuODI06ePaO2NdElXAilwyc0bvQkWeKtE92gTOmCheDZXJxBLlGVGBLW2FKIDz3f/ZP/GhEFWSRC9FwtlwhhiblFMQDlfKmkREpJSpGJmdL7uNtMQhgTk6rEu9989z2sVHTjiKlq5ovn2T+Y8ekn75ZNm1CQYTW2SOcJoZCZcg54v2W9yXRjj0ogq0JrE0XAXAzHQmHrmi5vyblw7aW0hFi2i951RRz37+HPn/sQr6zBx8LDXMz2mM/2eHr2EJ9iMY2ORYygraGxNf24RUsHaVJ0wcnTVIrzxx/ghCCEIpARaETSGKuQMmF0XQ63uSvUkiyxpsL5sTTdc0bKUo77hV0s4xnclmEMZCcZXQApcEoRnC/T4BBxoUd5R8klgRaKICSd98QcQRp0yjtogiTqiK3npH7g8NpznF+eEXOZQhBK9KOeztHGoFBcrpeA4OHjjxBmRpSe5fIZRhUOb3AeYRR1U6NjRtma6DLITIgeHctUrnR5ElLusoOVIKSBcXB0wxYjDQJLGFtiZchRYnQpglhliMEhk0JlSyQybRa0q0vefe/7dMMGIYsiO4VIFKHkcFW50CRTSrMKSRASoSxNpdisHxUrmQ/kKIgqFQzTbtqegsdYQVXtMcSIkopaa1ZXV4TVZlcolUhbyqSu76GmGCFLxZtF3dCNI5UxCLPgYO+QJ08+KhM6Ca/dOGbotqyWW57bO+K5gxk/v/yAROT29WNczFxdDSU3rBV6anBDKHIoo8lSoaUkxcBUV7z6wqt8+uQTur4cipPPGD0lhoCSkul0wiefPGLS1GQRMbVBZFVu21HglaZbt1irOTm/5Hf/xfcKZktoBJJ+7Mi9R2TNtJkgtWIY2rKiVA2rrkMQyN5xel6Y42SPsGE30dYIZYluAC0IJqOSJCZdfm/Jc3+befjjN3AuMZvOabRhEzxZSKrpnEpq6qnBd4W0UNsFIfSkPKCUpWu3pe8hFNaK3VbgNn3fUs8Srh+o6j2q6YRge7btlqwy6+2KDz7aloufBCkUMo/kVDB8Qgg612NrjaSUpKrK4qKHaMgCun5VDq05fnYg04AXUFnN3ef2eOXuMR9f9uAKjq9u9un9FkGmG4vU7e2PHvN02bHZ9AzB77Tos7LJSZmrNhBTyf3m5KnrGd4HRkpxOaaESAktBDIrvv3idR5cbXl01ZFkRquKSZUJuSJlBVpTyUgtDdlpBhlwbc9Z1xajrAjELJBasvVbulWhEiAkMUE/9kiKuZQsywUSga0bhBC43PHaC8/z8aMnTPWE3/6lr/PSizf5z/8/v0/bjVit2J9dZ7U8x2dPEg4VbHn2nFySoyeLjNIKVMVEG+pd/0aSCLEHX3LqKSecqIibDsfIQtd4Av3lqrCq3VDy6AwIXUq1KabCzs4CkTJxzNTGMD/a52p5SfRboswkF7k6f0TMEucHlC2bs3lTE/zIJw+f7bofYESibmYE16IEjOPA02dndNsVU20JY8/l1SWj+8WUuGwNUizDC6VhHHqk0GSlEM6hjCEkj9aSz7/wIs9fu8Yf3bvH+fKSy9TzV3/n7/Dw/j2+/+PvApHj42uM3UA7FKtqjgXzuroq0dCcJFoktK64Ma/52t1j7l895HSzLqXauipxt93zZ/QelzNVNS2fPyOZz/aRKXDeO3701s+46no++ughY39VDKq6pqom/IPv/YjoA009Y311RYgJLTTTgznddovM5XtWfhcVN268xLOLBzy5OiX6En0VTNi6ddmcOUHKASMyQZTMMyEX8pAouWOQCFnie8Y2CB1oasngAqlzKJXZm+5jzDWC7xh9R5Bg7YS+a5ExM6YEMnG1PsHsnrXGGqISbNoNi70Sp4oJKq2JY1/K/jGgtcD1ZavaVw5kRehbLi+XOOdIyVMZw699/haH+0f84x/+HOixsfSetKbEQ4xkoOen77+HFwKtDSE46npKiIHNuqOpDEezOc98wJqGBw8eInZnAlEJ3FCm/RZBPw58+PARY/RoIjkopDUEkZGpxNRG52jqmtFHhjHSdiOLmWTZ9gzDnFXf8+RqRX4vMqksy85xvm15cnXFVdtRmZqDueVstUVkzxgyIkm0tlgULkUyipTgwckDrtpzstwhY7dX3P94udspCh6enIJUNHVN3TSolSJJz6ZdYStLyiViPNEVLoMjImIgBctXn7vD0d41/uiHP2LbbaiqhuPD29y89hLzg+u88/N/zTh6lFWo6Pn2a3cYc+aHnwZitng/cnL6FC8SLxwd8srRXX7w0fts3AZTacKQC68/J8ahL11JElIJxv6KWTPDNDXL1arEHpWBHIihR0potCYnD7pmMTtg0xa/w+h7hlwcAGNyaK145+FH7DUlxhWzRNaStetBKvSYyKpIwZzrqWzi5OljYhiJOWClRsiAkBohVfm97wRiCcnQDyCgmTal40VBb5YkQI/Wkeh7jASfJcZO2Jvvs15ekSkcfSkKMvY/2CHeZkUWkRduH7HX1Kz7AZ0TKQpcDhSjdyg5+eRLIUBYkiiYPFtPGENPs7dPk2F91RWpBAmlCpQfKeldh9KCsY1M969RVRVh+ZTRD6RQehJZlIKqFhqjEj6BTwotA33oMVrgU9oRSEqWXqaM0qKsNrAsJlOUlPRDS+/KQ8DWRY2eteH44ICr9Ya+bdG7clnwkUpZfHQIqZBIppMFPiW6oUfLwr3tthcINhxUC6rasNyskS4hEWhpmVrNl158mXfvPeBy2BJSwChVsIIxllwasRQ9dodmYw1CZWZ7E7atR3pN71tUSlRmQlNPuXV9jydPnhUuPxGpDPPD62wunjDscukIiXM9tTVIJEMoL9Eql4mdQKCtJXlHlBptLH/5t/4yb731Ey4uTiEZnAjgPWKHHXTOo3UmRcPXvvI13vnwbdZXA+MQqaoGF0a0FsQodgZdh1RFA/+5l77CannCcnlCkOBCiTloJRnaS5SWVE1FdgmlFJvkcSnx9uMnSJHQWTE7mPC3/9K3+NMfvsfl1ZbJjjPfbgeMrhCqIsuRnDxGGfocGFzENhWLxQGzRnK2fobfffmMLjjK9XaNMxNCHJG24ubRC/TtmvXmnIRj7Dq01YSUdlZTDTIijcL5oZRBdQVKM/qIEaFMlBMI2iKtiBmZJElXCCnIsVgtTdXgfSIkj9iZr3xffAVaFnqOTyVOlrwrf5fQPDs7KYU2ndhsVmxSoupk4XELzbXZIcO2w9iK0UEK5bAnpcKHktG7uniKNpKcfOFJ2wnIKW+9+TO0liXuoBLExP7+EW1XuiDTpAhovMklcrL7hktRyqyVqnjuxl3OTk6ppop2sOBKtEQpVU7UyTK1cLg/50fvPuFP336MUpqbe8dcny147tUv86N33mC7vCRn6Hzgu2++R9gVQStpmO7tMT28ziY65osFOku2qxU5FrGJ9z0q7wRtqiD7JAJUwqXEzx6eMIayhl4PK+xE87d/83XevXfBmx9f0tSR/YOGvWqKiPtsvePdTz4qB9VcJFoul9LT6FuCLzZVhECLhNCa5COjKwIgM6khedw4lMI5kfc++ZSYBS/dfonHTy95+OgRlxcbKm13xlpF0hHfD0hjiGHE2IqcM9fm17hoNwQKxUEmTWNrxqFDZYdQgpAlKiZEAqET8+MFrjXEGAnrFUYXNjUCVBQMXbfbvBmS0Ds0migyDiDmwGa9LIZWrXbPBE3SuZCIKlUKXzLROlEilL4c3KqqIoqId46cJMaAUoKJrKhMQ86ZrejYtBumlSVIWZ5PMSFUiVnFWA7JIoPKBacX8gghkaTm/Qf3+OmH77PerLBSsrdXc37xgMePP0WlwCgipxcXKDR/+auv8+nZJctNx9aPXDu8zrOnD7BaMV8sWLUdj7cj/+d/9jM2Q5kkV9ri3UBtp2xDIvSOJDLapDL1zuAHyTZc8NLNl5B94F/96Q/47vfeYL0d6boNY8goW+Hi7napFdvtGqkt5EwiYkMpo4/jBkTm9sE+v/WN3+JZK7m4ekw79OQsgUDynhjcvy2VCoU1khRimdCn0sHQuirFu7yTIgmH8y1aKSq7t8NCDviQGPzA/sE1vvzyl/nxuz9j3a7ofU9MZVIJErHbLDsREaFQ06RVKATr1WnJ1OdISLtSdSzvoL29A5xwDLFjvVkhcqZSms61KBJqtwHan0/QpgAffegZo9xhdcu2UlQVKmTErGa5fbqj5CXGsS1xwSwQUfDosjxDptrSrTbkXPDYU1uxWEy4cj3RebKAi5P7CJHRuiqZ/pSRQoHc+V2EBq1RqaBTHz5Z8fqLc/7kzcjZ1Zbp1GKtpt2O1JViPTgePLlgtfFcbBwDiS+8sMd/+fvvM4YREWWxsqdEyCBQOJ8Qw4bNwhBSJPiI0mWzG5MuG+boEEqxmO6RY+DBg8dEUQaflbVMq/mO6+8xthzyZQokPyACPHh6zvsfP6HrNiilUUqwXJ3y7rt/zJiLQbpWNVZbBr/mrftPkdaAMLz84lcZugtOT+5RGcuNW89x78ETEB6hIce8w2GXcjBKYJRGpoDPEI3Cuw6dy0VOSAokREiMKtSmPozUtS2I7BBI9Dgn8LGwQWIs2xYpCrRvOjkmsqUdtqXfYmtCijTWFEGWy0ysYXlxwnazIqfiFrBS4lPpGmUCkbLFN3WNJPOVF1/i7HLFyfaqpChCQlQlOpooclQpdjHSEEnSs7q6ACIhlf5ETv+BM/E+RW7fOOa3v/kKf+vXP89/9o/+DQ9PzjC7zHNwgmwMOQYqvcD7AaVqjIr4mGmaPfq2FGGdd6XlHC0+dYWjaw2jL/xcIgw+sm1XhDjDBw9JIXYvDCUF0hoqYVC6MIxLHlOUtRawN7FMqjkuOHwSDH2L1oX3en3/Ni8+9xKfPHqbje8hFpFUdILKTNlbHHB0cEj2mRM34EmcPHtYLiopY6wgD4mkM5fLU7Q0eD8wUQYnSg45x5EcBKttz+CGcpnJsky3cuAn772LT2UKKIlM6glaG5abFQgwtkamhDQWj8APa2RSXJ0viSQMFbaeUdmiGX7u9h1+9Vtf5R/+499FxWI79DGwvjphUpUXYzt0PH/ndbpuQ7d+UkQapioGXheRMu+y24paNf+2ELJa89Ldl3j67CnWWMbOQRbk6Mt0PmcqDOTM22/+gM55hrZHm8KptdqSQkbuPuCCgpUTRB6ffkKKAR8GyI7JpOZgfsSNo+epG8nT0yc8PXtGTJGfP3rMGDpsrchKE4aeLCLWLnjrvUecrB1W6/IiU2UtPAwbjO2LQTAm+hgIUaAlfHr/EdtxhdU10UWEysToMAiappB8/tZ3XuLOjYb/4l9+jMSw7VqO9q7jxy3rbkncKealhBhdWSESsVaTYipFqdHjY1mdSSmKGEUrcnA0k7rgriLcONwv08ZUBGEpS3RlyLJwehWZFDJDdlS1obYlujakkRDB0qBrR+i3+F1pTypBcJnGllXe+fJxQSJmhTYZrTXNfEI/DOSxYMZiDgSpMAJuHx3xxc/f5Y13P8A2CqstnoRQCe8SF6urIhUSsQibZMLqCh8cgfL/IVPaPdG3DP0VVSWJQuwU6CV3bOp5ecgKxeHE0vmRboxlauQ8a73hm194kTc/eZOr1TmkSKM1QmYGX6JRlTK88uJrfPvbX+fGzVu8/+77/OjNnzCu1ly/eZ1xs0KpGevNOZhiEGwmDTFKwljsgJlIjyiCEq3Ym80Q2vDgdMXFsmc+rdhvJC8fNbx2e4+HT0beerKmqjU+aSqjyE4SMqUrUx/Q9S2EgJCgjKWuKrpULphaZmop6JTe5TEpk2+ZicHx8aMPeP+eQCUI3qFsXRjwIlJJixceGRIhZ4L3zBrLvJ4Qc+asXZGIpDjybHOCiKBUUcuLEPHBo+qKWhteu3ObR09OOLm4LKQZFFY3bLoztCxoRyvKZ1dqia0maFPTblbkGBhi5LjZZ7+a8PjsHiLvhC0Zci7TaaUEVkqysnS+LQdJNOPgsI0mBI/PsZT6E2wvnvGffvkFXr025b98/yHfO90y5EQIJQ9dWYnLnpgiKpbCt7QVVqqCyHWBaVWTyFxdXhERxBDIRnF2uuTy/Ls4F4gKbBQ8f+0aWwcfPnjKph+wdoIIPevNFfXkED9u2W57fEqIbBj7HlJiOp0ydAOy0gzj9rPLCVkSXek4IRT7kyl3bt/CSEGlDe8+XpJDRzOxfPnVz/P+w0f0fYdP42cWUp8CeYjUTY33ju1mTVPVqKDL4Swrru81vPvoXQSR2axiHAIpFNFYDB5Exmi7uxdoTKmDYqsJq/UVMgXy7lnhfUAZQyU1s9khd2/e5pMn97lc9QiRcdFx78FHXF2e4ZIvUYpUNjEiC4yuSySlqgh+RGmBkBZlGjIS/JqUSlkw5YxPeTfBLH+32wkCFRm0wuWMUYLgC4c+kPlnb90jhoyk5vpizrLvSCkicykL5mEg5sikzlTVBK0km3ZdiHBCM53XaNGQ+5YhO5btKUoLclQIVTOkTBp2Tg5bIYiFLocmjZEkEkabcgkSxRWgsoAYyMkhtOYP/uwp/5v/5Kt8cv+CR8uOxfmGrvNMpjUmJ1zyXKwHtn3CicDnb2WUTHx4b0BgCDji0Bd8bD0lIxndFomkig0VAzF1ZDL7iwNiEvTZEV0gZ4lzBTu86VuQEisrUiwdxsZOcaEnq0zXbhBZYYxGCMnJZccQB7RW6MoyjCMiZ4ZuS1NXWGVI0TO6QIqBTUglFiIN68szXFwSiYTB8+jJE5brS7Z+gJx30rZygDdKIK3mxede5nK75PT0GTkG6mpKBJpJBSEis8cPrtDsFGhhyNZSy4bObYhJIFLhs2iRWBzfplufIhPIynB69QSiYW9+jdXmFGMlRiq6oYgSbd0UW3zbF4JfLvCWMacdpY/SkwgCmcVnncWHz853Ui5RkhlafVa0LpcOS8ojQkgqrUGZMsyUCmVsGWyNfndx/g90iE9CcHq54l/+8EPaoeWjp5d4JChfJjYoyJFEYIgdgyt4KdtMIe0O50ISXEdTNxzsXcONDhclQxdJMaJEQqly062aIj1Yb1dUtS3RGTxZlilQ9JH9W7cLNzZcIIwiC8msnhbeuJXM9/dZLzdoNeHR07Z8wbLgydl9rtoztPDFqpgDtd5JNnIhSbz38YekNBa1rtZAIkY+47hHHdBZFRmCLYjEMQc0iqwF+MBybLG1pm4sw7YnUZBxXQQhSilJNwIZFXuLQ/amDUIEzldbJkIBGVNN6PryRQoEUgpYqUjCQ1aMY/mwffr4U84vn+2kIxmVcuHUB884CBzFmHtyco+UUuEEJ4mdNKS+w+WMsg1SQm1qUtvjZKn9fe+Hf8bx/iEpJTabK6w2BBKVLmu+SlpiguhG1sGDsoV+0SwQyrDdnCGMKplGT3nB54QbRnw4R5DJISK9ZN5oXnj+Ln/tr/4P2T+4wR/88/835p0fspcyTzYrni4dLoJOmZwKWWG57PjJ5h71ZMreYp/zi1N8LA37nMCNoZQazYwx9YgqU02OmOzf4vLBGf1YVmhVEohsqBcTJhPF5dmSi21hmscQuHj2HrpqyCpiZ/uo0BM6R6LEX6Q0xFhWmmL3ZU/RIYC6qYkpo1Ixkxqgni/wyVNXlm5oWW6X+JjKlHOHEixhMYEWka+98jzvPT6ldQMqCZQpsbD9/SOWqwvc6ilJQ9aSOAZSHml0TdCUSbMUxORISTIxCoEnyIDvNxg5oZkqrIVrh0e8e++EhOWXvv41vvS5a/zk5+/RryPeeEQG33mELCVCI+sClNOghKD3PdooyJogBJXYyVgaxTe//AJSKv7oez/CSE20pbjtg8PHSGU0D682zJoF08U+q+WSSmk2w8Dvv/UeaFkcD0KW78bQlriAyNT7h3ztl77Ob377mxideHjvI9ZuICRYX5wzugFiixDQeU+zaLCTOZcX51RKIJNAakPnRqZNzbe+9TrtEHj77Y/4gx/ewyC4tr+PSPDKtSn/vW/e5E8nV9w7v8KIVPKaIZMp5et22zGfWUgerdjh+iSrdl2+ozkTRCYHyoFg90DXQhfJiFSM/UDKmpGElSXOMfRbLp8MDD4wnc2I3lMLhdDl2fLJ8gzvfCnKR48TkhxTKVJLhfNlU5plcVUMY887731M70LBwuXy3SIXxOvB4pCLzSU5R0QWBB93KLWEqTVDV8zaz117jmk95eT8IZKIFxmipNFlSiqEYDo7YLm5IiWPlhopJJNpOUB4GRGpIFUVkWtNxVevVXzjzoIfP675wckaIky0KQVJoahRkAKz/QXLbsR3DluVQYkyhrsvfoHl+pInJw8QSWAl9KF0BYwIpFRqxEEJni7LQeXjqzOSD8h6CzHvSDRmh/isQYy4saeqKl55+QVevPMcP//wHk/PzvjqS88RY+an9z8FWfC7ZAFk2rbj/Y8+oa4nzGcztt26HAzywJvvLknVlOAyWRRhTNM0iG0iEjGVAD3BqJoYR8bsIMHZdsv/9Z/+ExIBlQPbYSfsihGIaGtRQvLCzec4PT9lNp2gx4G2LYZskiTkhJYBT+l6pZSJMtK2G3723lt4WaJ7AkV2gUpJRtfx/N2XuP/gXvmskDFWMmkind+Jr4wpoqBfkGJCv/N6FAGHtbqgbq0kZYmdzJBiYL3ZkHNAC0VlZxghScKTFDB6XMiIpDnYn/Pq83d565OP2WyvIEZM9rvLQWAQZXseZC7lUySzg2uE0eNCkZ3JlMim4E8rVYAaWWaUNGTK2SaEiBKCrCVKULaGzn2GaBUpFLFgLP9+zp5PTuHDB0t+7Zck/48/3PL4LOPTKXU9obGamBO986w2LbcOBf+Lv/UKf/cffYwTuvQDQybkgGlqdF3hhr6IEpNgeXlSip8pIlDszQ9YdQOpL9vdGEZGl4gpkHOgMhXTRU277unHnWBuiFitcMO2UOB2G+CcPEJkJJLkM3iopoZtGGkm+8xnUx48/ZSJtAhTc9hMkVXF4/NTnrYfYawo0cg48vTsCb9AoWddMZssyG5LJtH1PTILHj59gvMDi3pB5zf4OBK8YD6rdzHbBlW7sp0WmjgKZBAYBX4UNHaClJKZ1vhhIPniOGjHFSZVhdIlBe1wjrCKZn7AdDLj8YMPIRWSYBYCJSnDZSmIEqSULPbnXJ6tS7HZzlBa4nEkn9kOLXvzKWfLFShDbWv6saVqpgg6shTsze5ydXEfI3aEGxT8AgQyDLvy7r/7nz9/nMZaUop8+uychycXeBHRdUW/LSsBoUFRuNpjN0JMBAGMG5JPxOSZ7y24cf1Fbh/N+M43v8p//U//mI8eL2lmM/p1j9GpcLlzLJxyKUkEgos0lcUlzXTR0K5bVITzzQUmSHLWWG2Yzxpeu3OXF67fYDptuFiv+NSccf/hYya2YvCCnEeskEW1HCO2bphUDe3yFCUire/wm8e7FVygsYacEj4l5osjnOsZxwGrNF969UUePHrKauwQCqQ21MLgZKKVmqYxpCGwHTuM0MX26ANmN7VwqRB5Zrbm/OqM5VowugGtDc5HDuYHTGyFG05AqV2u2DBrZqzaFgO4WLz3280Vrl8js0RLixeJ7MeS7xe6ZN5SJvuArgxCaFL05EEwmdSEthAqGBzbbkCrglUaw0h0S8Z+i0sBoUDLghs0tiA/Z/WMdddTzeaMmzVaZDLpswODVIb5dMLVcoWSAi9zeZiHgIixECRE4e/LSlIvDnj+la+xv1hw88ZNjnid77zwHL/7k5+xfvd92tGRw1g2MwK6PNIkjQsj3VguMTIlhjCirUErjValPJ1TKludFLhY3kNqtbMNR7zXzPb3eP7udR7c/4SQE3/6zjOMcnhR4i7OdSx9DwnUL9arOZJyyZc6PzCfT/GjY+gdUgpqLbmx2OdqaOnboUiBFKy6FqLj5o0XODy4zeNnH+Kioxaa+XzKf/zX/zo/euNHfPrgEUZp3n94znR+jd49wVSmTEgENKZhPluwbTsaYfE50FiLD0ORTMTyUhNWIYNAKVsuFKp8d12ITK1iSIHbkz2+87m7PHx6wXqA9z7+mOWwYtP31EoQKKXBlEqxjZy5ceM6p5cnxTaJoLIVMUOtBcE7epFJSpBd5JN7j0qsK0SMsvhYikeISI6ZSktkSmzaLUqUnGvIA1YvMHLKujsj5BLUuVqvMUaCKKvPzo+07Zq33nuXvjvnpfnIcwvDO5dnxFxy9nGAJALWKFRu2HZbJtM90uiIri04yFgQaBeXW9Zd2bhI4Ojabc62V3ipeXDe872fn3D/suPGjQVRGd765BnjWKZGzc4M+Nrhgkkz4/v3zhBeEvKuNJ3CjsAkip8gFtpHTglbKbqYSD4y1RVCKpx3xJhphxGpNNkoZAxkP+KDKzG8JElJIYWk0gatJCOBmD1KlEuVSgbCiItF2BJ9oLE1yHLIj0mjdekQKZOIlSYKWCwWbNtN6ZhoARRmeRhLTjnFyEf330NrjVB6x7DPJClxKZGi58bRDV55+et8/41/iZKlhAbwhesHXHUDm8GhlUKIEkl7lkf+7rsPefnxFd9/dMngImMuCLejgwOcaNhcXSFyYCoUq35A5MzoM1LX5BA5OTtndFuUsIhaMjgHSWFVGSplFUghMK3mBLelj92OUlM6RsZYxnHEdacgNc18yiRX6NrT+4GIot06ZI5YA0FkZvMFR/vXWW9XhDSQ2EVKLXgkQx4ZrjYQBM18n/V6RZIZQ1uMlXXDOLYMbijTPQv9ECgf4oBAkyMoI/FuLL6N5Mv2yChkLiVxbSco4el7z8nqlJAc5+uBHBNuh1ZEgDECoTTZQ6UMMSS893RxW1CWWiKlJvuIrS1ZFLv6wwefInKBKhzsLXjlpTuIuGFWVTw+2zD6oq0HhRYFCRpicb3kVNwY02a6Q05HnAuw++dKFmvzMHYEYFI16JSw+3sIn1j3a/pxxVsfvcvgApUxeFniVHVdkbuE8AmNLLSdlJmYKTMxZXH7Gvcfv09WPUkkrGwwtcH3Hc6tSwdLlf5UDAGpDHE36Y94RCiQDYTA+2KH1rqYn5UsjoTt2vN/+Ycf8L/7n3+J/+XfvM3f/8OnbFYBFxOn5z22KeeKl69L/lf/o8/xB39ywhsfDiTvC2NfS4yssUbihxWhT+W9W5WzLUFR15YUA0+X5xAl4+iQSqGpqKaT0ncJFcFH1ldLUoQbN25weHSLd9/7MQo4PLzGqt8SB0f+BdPfWIaYEL4rJJ6x+Bja7pLN5oKZrnh+v+FRm5juHeJjRoniqDHKklQih7HEpHQROilTMWn2udquiKkvqPKc6IaR+axBZYEYy+Y5+sB27NFJlQ5iioVfrzT7125ycHxE77fYdktjF3zu7st8/OB9Hm3u0fenNI1GGYOg5OOneoIUGec8bmwxOhVCIqHEH7ViO44c7B2wbbek5FFC0G4Dxk4JoS1m4VxhEWz8QFaa5bpjOlkwm+6zWp0gtWRwI5NmghuLlCyLtNtus3MKFA5+Cv9+RE/w/4fsaT7ZLy/wbDDagZI4VzJ1CIGWAlPvSqmhYBiNLNNpKTJ1VXN8cIPDgynWGn7tW1/j937/X/PxgwfcODwEUbHpLhDS0I09k0rx2ue+xPuffEoKiUU95Wp1iaxA+kQMEHJAKk1lDIvpjJvXrvHVL32Rv/Str/PVF29w//ycf/WjD/nBT3/KRw/vs9m07M/ndP0WoSpW25LHPZof0egJjy8eoBFM9445Xz6lMRNevXOTz3/uJo+eXfLTtx8Upr0AlQW3bt9hvXmGEkXNbrTm0emSvcWEfvQkaUg5oEURK5ELLk+Kivn8eMdhbVhePiaEnihkySiKzBATxtZEH7FKlix+duQUsc2cGAMpelIOKKNxISJzplam3MLN7qETysrPqoJyk0BWovBxdyISLTXYGiUiefT4VLCSxtQstyuCLxn1TMLoop7WqgJioeP8woCmCmbUhUhj7O5CAipa5rOaTb8iJ4kHppM5OSZCiox9j9SSvcUhLkdefvlzfOmLv8p0OuX9t39Iv77gy69/k8GtuffwAz55cM7F2cNCOLGGbhzRGmw1w/Ud4+BApJ2pTZJz3n1OJFHAMISCpFR1iYGEokbXtqKuC2YreEcIEbJiMam5fffLLJdXnF58io8RjUSTGVxAaVPsa7KUdkTOxJjwY0AbTYiBialwuZTljNZEkahmNX23RadCGBnHDlTBoNWV5gtf+BIPHtxjs14j9A7xZTSVMNw6PObx2TljHgm7jZGtDC9ee4WnZw/o+zINqE1B72WREVbje09Tz6nrmtG1xTrpIxNdrJlCSo4P9rhc98QsqK1mjMVgKLQgRofvA2mntjdGM9EVm6HDmorRt+zND/BZItNA7wa0qIpoJihUjly/eY3Hz+6D10X3LmVBr+qKHEUp18XyOzBGI4UhCEf2Ea0lN6+9xOXqkn5YUwlJzImYMtKUy6KUkkWt+K1vvML9C8+f/OSdkq3MoOVuIxESQht8dGhRDq2BhK1qonekXEr8QgTIgtlkwt07N/jo/kMqqXnhuX0ObCEefeXLX6cbHX//D/6E7XakbhQ2KzbDyEtHU/6nv/oKP7+/5J9/+BBd73F5eV7EdsrSj4XFnckYY3BjoYakHQqVLNC6HAOdK9NxQaGDkTNKFnxojBm706grpZFCYJUikhiSR2SJkBbvOibGknIZGFhtEUaXqF8qcbKyd1fFPNlMcK5ECX7BWM7ZY+uKnBXejWiji2VS1SRR5EEuBFQsTHylNIvFgi9//ku899FHPDt/AmJ3edgRzwTF8DzGkRwLH3xaK2rT0A89VhnWYURKiwiB6V5D10eGvqOuyhpcJMEYPNVEk0TBOeoUibKgj53L5BBQqsKaQMzF15GT3PVCImGIBc+rK5QyTGdTFnsLTk+e4obIV37pN2nX54icePT4Y7wfECkXbF4W2InlWy+/jKpm/OzDDzlfXwEZ0xh8SCghGF3ZrKokMbM9SJ6YHCFIch4RyiBzMRq7GEmUSJI1miwCKUtq2zAMRaZHjAzDiNaW2la45EppLueyTZHFkC6FoNaW3nmayT5j21FNKrbt1e5XLpjVU46P7/L0/CEqS2JyZDeU55KQJBGxpqYf1khlIGam1ZzXXrzDf/I3vs3dm4p/+M/e4s/e/JCTq2X5b9YVOY07u3gshDSRC84QSjZYFqkOCFIIJfMdy6RSikRjDdf2jrl+eBMhMz/76F1UZYguEnygNoJRKnQq8U6Zig9FaovIERccuqrQoaAUh+SYTxaEbkubYimlth2BgryVUiJF3okpBcgaW02ZN4rlao0ftghrED5wff8G63FkDB1kUfDJUjL6kf2p4m//1m2+8/VrfPpgwwcPrlhuHNcPJ3z9C4ccHhj+X//kU7777oBUieByuVylQnlDlGy4SLIgQXX5GXkGcioHZ7xhb7rHqjtHGkkYPbrRGFnjx0CIHdIoso/Mptdpqglnl/cxesr+wRGXq6dMastmtcFnwXQ6Kz4CPxBDgCRK7FGUDV1jp8Q40rsRVdWfdTBuHt+iazu8iJiY2XQtOQuu33qO/WaPjx+9hx97hBRIpRFCMa/3+Yu/8Rt47/iX3/1vaN1YyuO1QQuBHwTz2XW6uGFSN7z+hW/wH/3Kb/Pk8hF/+m/+GIXh5NkzRr8u/YgxUDU1Q7dBVRqpJaIv6M8oodGmfBakJQSPlopmUhFDoJ5P2a7WDONA00yQSSNUTYhtiTIKha0NwziSkqCyDaMfYIeOzDKRhN7F7ASTRpOTLL2JkMsmKye8Lx3BfnT/rTKnP8/x/M89iZ9M92m350hbMm5jXw5G0jqyi+Xw1vdkwCrFGCNJSggZpSw5SJ6cPGV50bA3P+D/9snvoTIcHFzj6PiYfQOL2S3e/OhTxrEnS83zd+5wtRmZzY45aip+8NPvk4BIQFiJCRoXR1RtUbbiattzevqEtz+YI5KjjQlpapK0CFnIOYeLfbbbltF1pQhnDSkFpBFFExx8iX+Qef7Oq8QMb7/1ASiDNpqu7RAqU8+u8cJrv8Kbb/wBm3VpfUvviCKxbQv5Y2ot9fwa5+cPMVYRXGGFkmHoVggjy63PlHLWVE3ZjB1uLPZVkqcxpcRi64rUp6KeHlomiwNyGOl2PN6Dw33uXN/j/GzJo9MVFr2bDAiEUISUy7QlJ2KmZLhDWWlOJ1P6MSKUBQNW1GSpWBxd42qzRMviZhSiECl+ERtIucRIdCzmVXIRmkhiMTqqjFWFSHLROnIGLSSVqbFVRd/3JZstNFJKej+AT3zy8Ucsn52RlcWPPdt2ySdPHjAxNd51RAGmtpBEKRfljBSWoetRxELlEBKRMj6WtW5Kidb5wkmWEq0sxEBIRSpTWYMbB8z0GmYKl2flIWkrS9Ps8fjpE2LYsjdd0LoNvh8Zc6KeGF599SU++egBIXtCSBwcHDB2xcSbgkdoy5g8CIsy0Ez2qSrNpl2TQyIbSVYO4cqX3RjNEEbeeOMNjNY7dr8r6FWtOTqc8Td+9Vf53X/1xzw+f4qQClQmx8TF8hkxRkRlqYzFWkE/RpAlWmRtMWU+d/vL1NWEDz/5Pl1aouqavePnODl5zHIokR4tM31MpKwQOZGGWBCmtgJZ+PEGSec6Ys74MGK0RhiLCiObfkRkQVWVcs9sUiH1Hn0fmE5mjF4gXKAfSqGu/B0DxtgdPap8XlMK5QVC5HBxwFe/eJc/e+OK4BUxli2IEBlBYLXZkKNgrSW/92f3OLx5F2sMQkYGH/AhYaRBxcBrR3t8ugoMKSNExOiKvcU1Li5PEESUDKA0KQZyijx6+rREZTL0TuPGzOHRIT945zHb9RJyYjZROK84PNxjOz7jpMv8/R8/44bNuJBQ0X9mVbaipqlKLyiFctCQQhBjpqpnsCtwelcuu1pLFtX+ZyjGmAWTusY5RfSRSCRLga13L8jJHuPoiO0GnwMij0zrCS89/xIuej59dI9+GDg6OuZoPufpw3uFT681OeYy8fWhROVCKWo3jcHtxEaL6YwgNVvXYUTRrLvRFbyjUCQliTojkmO9WfPjN37CED1CCIwqU0wXElorRHJIq6iNZIwJYWFMMKvn5UKdPNZUVLLEnS4vLktpfHfISgmMVZADUlQoWX7OQmWsrGimc66uzslaMp9OMUayXJ4XDwIRlRIplMOkTJa9+R2C3/Dc8TVCynhfsJHv//xPStFUKGJw7B9cJ3rHZrtB5swwjHz46CnNdMbt40P6cU079AQXUcKihEEKz3xSIVBst1cYW0OOSEKJFXmH0IVEIoUkeIdUu0yzkoXg1HZIKblz8wb9ZsUT5wvWzGj27ZRh2NKniHBFBZ9CIXc4Akor+q4lpIHcR6xS+BARSRJjYH8+pe0mRKfKd1hbhp1x3JhSTrQYfCjxueQH0rCiUS0vPP8S1w4VpFSelWOHj7FclGTh5sfd5jVG8MEjlERniRtHJo2hCyNCaYyx5OixymK15fVXXuCdD+6zHDaMKVJHzdHxEbU9wMi+fJ4dVE1NCI6UE1CGXUIWEkgWGREiulL03boUu1PC9eVwaWS1M3znz2Q8WihmTU3nPDLNuLY/Zbk9peu3ZCF5dnXxGTVPSoVPHoxCy8ymD/y9f/6M3/v+Jd/43IzXnt/nc69KTs56/vF3T3nn40tcX+zwWQsW80NWq1OU0BxMG8aY8SEyjIX0paRg9JnKNgxhRMSyhRujLlwA58nBI9KE+fyI0/4+IMkhU9czYtzy7PyUupngvOPZ2SMqLUi7AY5GogVYlelDzfMvHPHk5AJNw3Z7jlLlMr/YPyD1a4J3kDJNZTm/OAGgnuyhGgt9gYJsNz3telNgJFKTlCqDAmVR1uKS5OGzZ0RZqGbGlu1q2/YoVTPGnsZWmGnN3Rde5jd+86/y6eOPePvtt3j7528ydOty7tQgUsQ5j5BlsyRiGSoKSpeS7KgaTS0Eo9N03hPawKxq6DrH6DOTel4AFCowdBcoIVCakjLxI1kpFtqAioQUy8ApFiNzVh4rweeAC5lK1nSdQxiKJyaVyzJawVhidv+uf/7ck/i96R4uFyFEcuXhUjdzQrthjONn+uuj4yOCC1ysl+RQGvXKVEwbW8Qt3vLy3Rd49OwR2k5Y1PscHh3x+MFbLKqGJ6sl3helt7WGZjYnoxg3HddrmE4b3jtdUUnJ/rTifNOzt7jOnRdv8+Dhp9TKsqgnTPcnVJM9hrbj8ckTVpuWjGcqBENKBB/ICGKKn1nvisi3oJ0QidniqKx2iSShyM6XpkO9z9D37JmK1XZNEJ7aKka/yzilgv6qpxOaah8pBG57TusjITsUEqGKRKYwTEsWFyGYTxZstlsQERc9h4s9tu2G2liE0LR9C6k8YJQolBItLX/x2y/wd37ndf6ff/hz/sX3P8TYihCKfCOEiFQCkVURuuxY9LPpMX13hTKa5BOzqeE/+pVf53LT8ubbbzKbzbi6PGcYxmKAI6OtQWTJ8eFdlqsz3I4mlGIq1JUqs68bRifYjB11XSOlpOu3kOHocJ+MZLttOVjcYL05LzIko5Da4scOmXZUE1uXCV0Y0FJzdHDM2cU5SUdIoeDyfGSMGS1VUVmI4hpAKAY3UqEIMhNDLgddWYgsxwc36fqWtmuRIjKZNmVyLg0hDoQkUTJx4/prbPtTtl2LwLC/mLLdXBDHiDCGV28esjhc8NZH98lRMPhAPWno24H9SvD8wYIHK0+7e0kILaiUIaHotuvCTdcVUiuMlXSbofDxVUL4QBaCFEAbSwgjRteQA3cOr/NsdcXoeuxkgosePzqk1lg0xb0I1kr6LhB0hBjRylLVFdYcIVGcXz7EaMm0qpk2c1arS/roaepSYIqx4MAEAWUN5CIAaqzeHZ5teeCRqYwCCSFmYohoJRDCUtcG20y4cXjI7Ru3aWzF2dUpHz89pd0sGfuuxHtkuSjalBhTIV8JCdpUJAKacqieNA3bbQ+xTPKklvSuJ2dQugHAkAkJJpMpYVwXrrlWpDEhlKVWkb/97a/xvfuPefDsvDwPMlhVIZQE6ZlPZ7StwyWHiQkfHVlpalsx3z+CnFlUDeerFWPfoqzAVprt1iOjJyDZny5YDUv8GJGWMpkJZWuFUMjkyDETkUysxu0m3VIbtCx0iqHvQQmm8xm39p7j/PIR3bZFNw11XbPedEjhyaLEcoyxHB4f0a031Lbi7OqqTJEU6Krhy69/BSUjP/zJTwtXeozcOGxIMXG2aUmy4M8EkoncTZ5EeUZqwOeIlLZECLJEG4lIENKI9xEpZJHiGEsmoWIRD4kUkbKs98mRpta041hkMiJjbIXIgsGnnTBQkJ0nEGgajTET7tz+Eo8ffYBSim23wrnCbs9CI2Q5iFtRkUSRMrmYkUJTTycMvsMGQSRS1zVuGIFyuJVCl02lKRIuLSxt37GYTEgCNu0lCsF8PmVwmW1fpuBV3VCZhvWwRuWIkDV70wWMHUN0eCHoNhuUKZP6ad0gkUQ6xqGw0ImRIEZu3ryJG0Yur1aEEKi1ZnCuSPmQKK3Zm9WEDG70xJQLxSMmcg64FDm6fpM4DnRdxxAcWkFVzTiYHfH49GFB4QlTNhyuJ+e0ow4lFIbZ7Ih+6Ghqg6lqRt9yfHiLk9MThtHRmMwYIzlFjJBlAzRZ0NSKX3n1BkfH+zw5bXnr/Qf4IPHC4/uWkBLWNrhxIFKg9IFMVdkieXQjVptyqBsKK19pIAX87jk4qRfMG8vJ5SVBSK5f2+Ov/9avMalu8LP33+OHb3wPkuHu3Vd49OwRw7AugqOQscaSZCbHUGIeAjQStSseuhxwoTzvjBElYYBEakOlK5SCcexQ1hKTJHiP3dlN/U7UZk2FNhq/2xoqrQvuNQmEqRE5U1clKiWkZH/vmOXVJc4NaFs6Tn4stCxtNHvzGWO7RdgZCklMHUraguOUOyrf2JOVoJ7M6HuHlQX7OiaYTucc7N/g6ZNPQY4Y1ZBTIkmBTokA5BBIOWEnE1SU9KGj3sV+54sjXv38XT765B612iPmlm3fsb1aY2oDIZR3N4pvfvWrnFycc7Ja4XpPSmVynVKkqmdomej7EbSirhsInt6VrpoUFqUdfdvhQ8aYjDAVrh3Rpi4XcWOYLxa88uLX+da3/iLnqxP+7E/+iK7dcHH5FKQnhwxKFeTjTmJotKZWhj74gs7WMKksf/mbr/LwdMMb956UOBAgRSaG0mHRZoJPsQgecyqDzASVrBiS5/bhHi8ezvjJw4cMQoCTHE33WLUrUk5l0Khgf7pP2/W4NKDQJGUJbiBEj/d+d9H8//3n3+skPkqJcJE4eKqqIUTH6C4Lts0UpJ9Ugm1XuNMplFxeQmCt5frelNtHB3z/5/e5/+BDEhk/DmxXlzx69j4KOF+3iJyorGQcAzEplstLMppGSr79wg1evb7Ho8sNUmm+8cqL/OCDj/C0PDt7hu86vMmcLS8QT+Bw/xrRDfS+J+9urGYyJaAYcyLkgN4VyFLOgMCFRG1AIhnbNUoKfue3/wJDVPybf/M9QhIczA4gZLbjGmUE0QlmzSE5XhFyKnlK4Pq1G0zVlG0X2OZzrNbEMaKsQmSF8wGlKc3z3aQjG8P1mzd56fgGP3znTVarIhhabttiaNUSYywiBgbXUVcNe/vXkcrw5KzlcptoqgnD2BarXWWJMRdbZvBYVQ5fxmq69qzgz0Qo/zwpFov9wvJOgamxbNE46ZhPpgw+oqsa3488PbmHULqUHEkYDUaUNaRtZgg50DvAFNavsYXZnVOm67fE6Di/fIy1NUZqUogcTBvO+o4YIkkKFtISokOmhDYZJT0+9vgQsUIjjcJoRRAO4T1RSQiJMeWSDUVQm4pvvnCXSmx447TnovOgRzbLM0wzQUlBjCVSQy7TQYxCioxtal56/gbXouUPf/4ePnZEP6Gq99mGC5L3hDDy65874PR0yf3zFSl4/KhIZLoxc7p2JQ4wrRm2a3KU/PIvf4HHz055tN2WTUkOpJAZs4AUMHVFCiWmloUmJE/yA0YbZtND1u0JD1enICVBCEQcESJjJOAD0sKiWRQTpjYEeUGlSkEqi0DXtwztiNF2F9XwuKhI/RKXIqaqSpk3RoSsEFmSQ8J1hbltlSJkhRCFDJXIZWOQIYXy4LTWUElw/UhKiQO7x1dee5Hf+gt/idnsgD/+/ndZ9z/BdSN9KhQGZC6HNg1Wl96AI5QoTAIznzMMHav1iuDLQSyMu2nbDgFGjnjvSEphmoaQHC6WeIrKshTRdNn8fPeTZyy3HUqAbmpipMhTskRZwd7+NV44Drx//yFSW4IvkR3nwPc9SmfONktkbbl27Zj1doPrPCILYhbMqzl91+8y/wIZSrm1yFUCUucyHUoGmSM3jg948Kx0CwgSNTEk15bugqxwm5H7mw+LidkIpPT0Q1GqF8SoLTnvHHl2eoIWJTJT17ZQR6Ri7Hve+/lPcdETc0aRsFYzhMy6L4f1iZjihWdaLWi7tlwgTEPnesYU0NoiReGTj27k1tEN2m3P1aovJfWciCEiKId9fCnKTebHbNanCJFRsiK4iFUTUo676awuUYu4IY4JW1WlEB8hDIngez6+9xYiGeaTCTmWDHiKgEgoZUEGhuSQ5M9wgtIoZI6oXFTyPiRG76nqCdvtlkRk2tTEHJjUE75453nuHH+Rn370Dsvhir3DY7rHPW4zsN0M5YIhEqN3+BAYdE8IRVSkyZiq4aJdosl0fUdjKuxsn+X2grbfgpDUtWbWNGyGHqkVJMXp6QUSg9UTiC1GS5AVo4/E7BFJEqJktV4W5KJVBCRSK1wbEAIuTp9iTE2SAquqUhCNksO9G5xcPt39TDJjKn2pCChtywUwJyKJmB3DAMvNCms0K71kbFuELFu9o8M5V+tCBkEVCo6Plo+frvnxR0+x1ZTl2BWvzK6HFIAU+xIv1RalNVKWKT4F4IdznhwdTWWL6yRrjFG4HZJwDB637oHCzD+o5vz6l17g3Y8e8t777+B9xBjN/SeflDiaKHIepMBnh5K6DIi0IURPYytkhm3okUJALrFR2BFnjMFoQ9+2GFGIeKSMNRmpLNk54s64npCgFZPJlH5MDDkWcaOyxAh5DNQ7I+7oPVVVcXF+RhLlwJ5TpB92QwklSTniEriskX6gaaasuww1eD+UZwaGLAR1PeHawW1OhodIJZkfHnBxeUGMDiUN1kwIMZI1zOe3uDh9vIt4JEIMVErTKI00ln61xWWHIdNtLvnw/URwjsvtJ9R1g1QKYQ1px3S09QQfM+8/eEI9O0AojxZb+gQogZWGL7/yOqtuxaOn91Ep49stSUsyZeOYUk+7bpFSUtWaMDqic0gghJ7azCFmvlAr+pN3+Qf/4J1CmvOZeVWjjSR6QySQxhF08ROkFMpwQQpMZSCAlolKS/7Gt19mNQQ++XtXXK06spSl9yAVCHB+gFw210kU95CWotiqgSvXs346EpNBR5CVhalFpxpcIIqElIKrboNUCufKpvi567dotOaD+x/9ou/+7/znz4+Y7HuEEDSLvXJ7c2XFnRJUALHkCzs/oCvFyy8+T9cNnF9dcOP4DrKCn7z3gPmiYbPpyKnIFFIutJIkJQJNzAMxqfLF27FQtRJkAd+7d8mPH5zR+1Ia/KOfvAMqE6VjebXEaIXoPdpqhJFstlf4KJAGeucRSbDqR4IUxSCWMtlYJtMJ7XpLCAEti8c0prSLnmTe++A+R8e3UWqK8y1juyLGLcNYJjlNtUdMipjYoS7Li+zRo6coBbUyIDQh9dRVzbe++VV++tbP8KFYT8s2IO5eulsmtebZxTNQEXxGBEWlKrIShFjsZHEswhM3DFxcPeHH79S89+kJ59uAz5EkJEkYsgORREFJKguU0mdKiejLf6MnowR03cDf/6/+EdpqxsHz4NEzZnVNVXl8iEihUUYR+1jQnriCT/MJO224frzP2bMztoPDuxFpivlz1IZhHMghs3RXZf29a2ZLFTBSEFPmarNEIKmqhiw96+4KITJ3btwkYlmtryheQYkwZfPRaIqNTZVVsFJmx6T35UuoLX/j8wd87cVX+D/94Ztsn3jatrTwh80aIyRCGSo7IdjI2G1IMXN07XmG7RmPH79PbwQulv/dq80VWhbjbV1VZNvwL94+YSR/tv6NwSOlJFvFVTcCgrgZ8LEQfe4/fEzXelCZpG2JjPhIDhGExqcMUZBVuaRIBb4f8DFwtX4KaWdMFtAojfO+/DdUM9zQEXIitFuUUuxPDnjxxiGPn50zOo/zHVprYkroShDHCu/aUsDRmslsikQzuh5J4Ohgj5QVXdvSdusy7VZlamGrCW3fUU8rfD+g9AxFRkpIOdOPjtooUtIoKvYmc1597Yvceu55Hp8/5mfvvM2l8vRGEfzI1NZErXnl1gwtBPeerslDLpsUItu+L2tYFNYqgg+EnEph0zSwE7kZY4gxkfxYhE6qsNulgKP9Ccv1BqUqBu8Yh1IYndgpZmY4vzonpwBJk8ae69cmfPRYleeI1siUqWYN2kjCODKMnr1G8fzxMY9S4unmkqShqSukFjt9tyWNuxV78uXAnRUiFUtppMSQztYdkZ363IAQZTcokgCRidlRNYYooZKG7POuiwIICG7AqCImq3Uh0igNe3PNPob9quLRpmXVD3Qu7fobAVTCSItEYmcTfFteot14wWQ+Y+gdgx9BqnI4lhkfIKUWKzUHszkpBNabCiEcPpfV8bQ2OJcZ007mpXLxRowOH3qEUlhVbKHaVEhRLMFKCHISxOTRZgL05FAmYTlKQtiSB4+oa4IbEXiksTTzms1yjRLlXSTI6FoyrST7B3souc/Z+QXSj2Ua5hzaVjifGcaBmALD4Lj/9DHPLtes1lvs1HB28gDfObS1jNmDS4ioyTJR1XNc6mlMhdIBpSPTg+usupb26jGVmVBVDVfrc1JKpJiZLWa8/OrrbJdLwtN7tDGThUSSkQRCKJg7H4qISciSb0850LqBkAPClBK02pGEpNHlOegDGY+2hi/d/SKX7YqzixOePPm4xHF0VRCdxGKYjIkUYzFRW8Ho19RGM4ZSrvRuZLO+JGVHpiCk+84Ro+L6wTHH1w/44MMP2Cx7Pliv0DrhLi4RSmO1xsWIqmoYB3KIKClptGZST3i2XZUopCz46CQzMmucL5/bfvCouilbm2bBar1GKIgCGiHZdiNvfviMn7z1HsvtClQRbGm7m8bmDKmUxyf1gpAiMQ9kWVC4XharsdGmeCaCx2pL3ezhXFuyzbXAmLpwvVXChxHaSF0vCEqSUVgDMSpG17H0AylDSAmZPSEUzOV0UhOzw3c9Kgh8GkAZhEiEFEg5E5OksQ23bj3P49OPUST2DvdBJOZ7M/rHLWEscVIry3YmJc0wDHSbbaG/ZVmy+xNP2215cvIeWlqImdANnPUfY2QhpYhcBjJTq4mxY+h7qmqOMYpufQFaUPuR6Es0NoRAGh2VNaWj0vek0bNYHLJdr0gxUk8mbEeDHIuZOUrNuu/JShFcwKeEUWVb2xiJ1YblptiIlSilfJ8l2miUigV8kCPRC37y6JIkA0bWhJy5efsWd27c5c/eeELMEaUNKQmeu/UcZ+fnuLEFEm0caHRTEhJZ0/nIP/n+h9y5tUdjDFtjSTIRxoT3FKlYZYkxlf6K0KXwHRNRFHFgGDWjEkhlQcVCBOo0wmZ88KSk2Kv3WG6vCMmzP79G8p5HTx6hlCJJ+eeasv97PcRrOyHnkewLTinLku2OFDzkjb3rrLsNLoy4AN0YC6khW6AipwGHZ8KClDtiEhhTFfJrzsRYuNmmKi/nlEGmwhNX2gCZSxcxaFKKZeIiMnqX/ZZInI9YpdGqou03WKPw0QOKxpYChk+REPyOLR9QQmKDwOeIMooURJFWkcoLUgo+ffiQy6sNTV2hk+NgMuHTi9MywUiO0a3pxw1S7uQoRjBpZqzbEY1k2ztiLJeLTOT+k1M8HinLz1FSHmQSTRoFTx495Ev7e9yoKu4PQ4ngqAypmC+lkGhdyqzIEkO4uNqw3g64nTEzpnLIF2RizjRVg1GGbX9ZmvyxlB2trcqlgEiKgunOqtkYTQ6JawfHPDjdEKUmuAFUJsRISgFdabISxCHRdSOPHp2XHLi/gh0fehuWSCVLNrqucDFRacEYS6wkx0jKRX2dgqeyFnBARmjBOAaeXl7QTGash45ERomEHxNKacIvVmAIlCxCMiEUMgliTgxk/puPn/DhVeR8FUBm6smEod9ipaI2pRgbM8Tk8C6ihOfy9AGmEjw863iCxfuI0AajFUZVJNcRvOdqFdi0gmXbEr1nVjcF7Rk9gsQ2eowx+DhirEVJTd9HNu0WckJEx+dfeonO95yfrGmHgejGorDPDXFwu0m3JStBpRt8GMm5SFKyksikMbrCNjO6ocUqg0+OmBJuGNjojLAWg2QMAyEkrK1K5CVH6qom6ykubogh47xAKkWOpfT3137t1/n5hx/wg3ffKgQhZMlK5y0pBoY2kqLHSl+IS6Hk74UQUFs0hlWGh6uBN9/+Ge/ff8j7H7/PxfqMfmyZaMnWSUIUKJP4jc/d5puvXuc/+4O3ufd0oHeenHoEZUMihSwTwOQRKlPJf8tlDyEQUyoXwwhGgsuR6XzOdttxsVnR2IYb8xkBcLXCRYFkxI+xMPwzhAyPTp7y9CSQpOGlgwVKGTZd5Ky7ou8zr9+9xdUYeXZxwZvvfYDRmuP9Q5btJSkmNn6NC4mqAonC9SOV0SWyk0d8TPALzrQqEjRtBCprplXNZDZl6NdYUyFUYowF6RqdIKnEpKmRUeLHseA+TWR0PUJAQKKF4HhqefVwn7/9hVt8/vY+v//2Q/7Jh88IS8/gRoQqEbv55BpSrVhuN4UQIw1Zaur9Q/pxILiAkBYrC7VKWoO2iu265dP7zxAqoY3EuyKss1rTNAfEsEaLSEqZ7cUZiIzWprg5lCSGyKSpCh89SKZ1BcLQ947kPEmU0q5RphzyyqiS6ANCxBJxVIoUA93lZUHjkVDGAApjDAeHE/7Kt14i+cA//8nI6AN5KM/klOLus15IZN71XGwccbPCyorsBH3XYbTE5Yj3HmM1Y/YoBG7ccrB3xHr0pNxTi8zTj99kOwykJEl+LGhiASJnpJQcL45QQ2S9PMHUGrV1KLEjoegSqxBBkoTEVnOkLwOJlHpyDihVLqQJicySkMs7VBsLouCerRBsXMdm2BSee1fKrnn0SKXwYyn+V0qjraEdHcEXIosQucRAckIYRUiKKIqrwNiK3md0EoRx5N69B+QkkVqWqEowNFWFix1pHJDGIuuCIgzjQO8Htr7HkUjeY0XZSGuhQMmC9hQWEzNJlsNwyiU6spgtONif8ujpE1L2nFyc8n//3d8rUp6QMHaKbizCZMR6g/MeXSkIguDaYkMXZVtYIpcw2zuk6zfFg4hFKUEQAR8clWnYm065drDgZO3ZrJ+hyahqQvA9LkSSyAw+YU0qmfRc8KBGS0iWLB05j4y+FFVDSlRTy9j3WK1Kx0xljFTktmcYB04vTkhRsu3WpHbLpJ4Qu8DgPSklNIqYHFGBTJkkMsvVObPJBCE1l+enTKymlg4fwdqa0Xc7oWWDHwfYYRVjlmy8x2AIMSLSgMsZlMEKw2q7LVs3KXCxoLh9Ggii2JsnwrJnDJsQaTdXmHFLToWXnoQkZs/7936GtZPiO7EVgx8RsTzDlsunOJ+ZV0WI2PeOa0c3yGnkarMEUS7zylo2Y9mYmDqS0sjV1RnbdmR0JZIIAyFHLi5OGbcdKEhKIIIguljEoS7QDpJ//cZTFh+ccb7e4sJu8BQDQimUtOyoqQDlGaE1WRZfkq2mZWtMwLtEjI7JbEqIrkTydHnnLdstSguUqgDPdGJZ94lhcJjGkqQkxn93zKT88/6Lr7z6q1i72DGzB3IuZixrK7JUrHxHFzu0Kkzq87MT1tsNyXke3v8ZJ48ecWgXbNdXpOwxRhKCIwN+CIgcqGuNgM/QV6iMTgGiI4lIzolmUjPfmyJEwu5KqSIXFJ1Smj6WB0VTNSxmt3juuS+ymC5IIjImTz/2aFkuBnU1x2jJ0K3LgBexM2yWzLKQgulkAUqy7ltefvE1bNPw9OQRSURQoG1d1tJGcuu51/jiFz7PpLH0o8eIIu3JklLyIhGi5+TkCX0/kLMkx4zcUSSSiMTouTWZ8b/+5uf4j+9cp64kURTaDwKsqYkeYo7lAC5KCSdJifcRF0IpSalMVmU9arUm+XIwrJqmFAi9K4ZZHZE6k1JmOqv5C7/6Ta4f7xNlJqrA6eqM0VOkBDtZg1UaLTVaSFIQ1LYpt32VqaZTNAYpK/YObqCkQImMVKYUNH9xAw27G6soFwKSQOuKGDNdP+BjRmpNU08+y0RW1QSrbclOy4zzHj8GlNRMqno3cZBlip0yWhk2bc+//PQpf++HP+Pe5WXBiA39Tj4BnoCUib5bEZwvpU2hmFYNBktwkRBdWcGmiDQaa6fcuvYcJMV6sylmRD+CgCgj23aLNTOmk33qZl7ycZVAiQqyom03SClQWnNzb49nZ6dcXVyw7tfE3WQmi0JREUqRKAUaKQQhdEiVQJaDe1PPSGSGcc3lxVOMLYeoNCZEhK7fcvrsGcurc9q2iGiMUIQRunbAhchm9Di3wY2xlPuCJyVPDoHTyzP+6Pt/yqOTk1J8sqV0WshHhdIjJUxNg7EKpaCZNMwP9lBaM4aIaaZkPB9/8g7/4g9/j3/6X/0j3njzfdouEIPCp0zShVo09oH3H1/gMxwtprjscdET0o57rRWIitt3XqeuJqSUGEMoz1tVVvRCZGIuX2lPopKqZDeFImFph4H5/j7/k7/yLb7zpbuMg2fdtvi+Q+VysAt+IOTCWCdBTILt4Fi1G0L0gGC1bdlcrsi5dGuc97xw93PcuXEXaxu0nbGoGmbNHKF3JcUEW+9JqiaJIhgjRoL3+JyYTmZgKnphcIFyaNaFuJFjAi8QKSKioFv3+HEsLxtlqKsJNw72aJoGKzQTafAdzEl853PX+MY3nuNbLx5xQxtUGJHZkYTCNnNOL0s8KwsQ0eOGkaFrefLgXulaGIXUEYGn8wNBePwwlvKf0VTNhC994Zc5OjymMpbgE+vVlhTB7w7LiUyKmaEfobLl8zubAgopdMmw+0jvMiELhKpKzBBBRqJkxeh6tK6wVYUyE0y1QEoKZjFXZAy1qckpEocRP0ItDa/dXPCbr9/m5uGc7MuzeFpPMcZgdmKvDKWYryVWQNu3rJY7C20Cq8BIXTZhUpUejlYcXjvCmEyjJP/912/zyzfn1JWmqhqu3X5l10/RZVWfM+fLKx4+/YT1dsOmb3FhKM/AmHfFxERtyzP2+PAuX33tm3zny98uMsPoMUqRYy7xRSWwk73P7MhNVZUiZHB8+vhj1psle5MJ86YuWFMtIQfqiUabQu25dXyTRgkMGVxgMw4kU6gojanRqoArrN3hGkVgxHPZr4khEpNnHBxCGGKE7XZDDhmXRTnMuoFhs2J0nuLQECWHrMuGSSlVyv1CkgSQA0lJmqoYiKUU9MOSFEdW7ZaYYAyBkDIh7oZuWvL8jX3+O3/p16i1RqqK5194kfn8CGksQadiepe72Iw0aKGZTCpyLIX9lMENAddvqJQgxJH1Zs0YAtpaqmb2/+Xtv541y9L8POxZdu/9mePypKusrCzX1dVmerrHYqABRhwYAQRBgZAIMUJShHSvS/0LvFDoRgpG6EIMClSQDAlBcgBSAMdhZnoMMO1Ndfmq9ObksZ/dblldrK8bt4MAAuemuyMquzIzvm/vtd7393sexlj+3TGXS6vVmroxiCSRlMlsge/q0uexUE/2gAoRE0qr0mPQxTsAQJQ7dKtBS4qNV0mEaMpnIgkqa5DGkoRCC4MPIzGVA6BSqrz3Ebz+6mtUIrPpV/RBILRivXmJ3L0zo0tIFEaJEiEWhsPju6icETkRgye5UDo5s4bp3l4xm/qAzK7EeUWFkTWHs0OytTxbnCNV2Xg6H3CuRcqMEbrItqRFxEz0pUAdSZhG4bLEUQaMIZQ9lEbSdx1JaGzVIIIoz+8QyqU/BTZhIGTYdhuu1mckFdFNVXoxyjCZXisXhpSpK1Om+yIx3T+kx6FJbH3kfJOIo6DWBmsnaFMGmjl7Ukzlf2eBNBZhql3sNhYIXZaopJCS8n1MASHKu/OotkQfqZTg7du3kCmwcSuuNhfkXPC56ado5X8LP3/hSfwvfvU32C6e0LanzPYOOG+XVGpaDu5G0aehkGNcYD6fc+eVG7w4P2d71Raphyk3QjVukDEy9olc5rbFdhgjWUhiSAQEx9MZb77yKj958ACXPFJNGcaR7mrFtGp45cYdzHTCar1icXlJiqJMvOKEw9mMr7x+j08fPsZtetabze4FVVjMwfVIq8uti0jMkb35jL4PBB949dW3uLp4SvAeAO9GBIkPPvs+WkAzUbhOFulGKFxy7yLSD/zqN34Z1w08f3lKTJGQI7WpkKFIFELyu6hOyYSpJMtLUkFKmTG0LIXlv/roEy66wBA9CoXwgaQEyihMZclZoHYRkuCK9GFMYcdOV+xPbtD1G1waiMLvxEg1YzeSQtj92owIiflsRk6eEKFvN9yczVlfLkha0u/Yy2HwJJVx40ijLFJWQKF2uKiQMpEokSCpVBEoqCKBMkaSciligcKFgvH6mQdFJGylcSGU8qYs1BGBpq5rhhgYXYd3CaNK0VVqhYgJW9cMfREn1FXD0Wyf1fKKrAQ++hITcpGcA3ZiYYikEHcrScE4dEilUWREhigStplw/dZdbt96jR/9+Dv0/RKjQShBTiN1LXl5/gxhJFkIFtslLoASie04oITEjT1dn/AhIJRASkMzmdJ3A871KKXQpuLZYo0SCSE1RprSR0BSN3voek63uYIwoKQgBUeMoJREW0Hw4NyI0ooQFIJAcIJaQVQKocq2qx0cSglQCSsUk/qAa9de49nLDxlDx9Q2XNufcnKxpJKqnFgymFlD33VcdGv6dV8wcLulf5JlOiGNwqaMG8shxMeElZosFJEi9dquV+Qk8K1mtVyXuE5USOmJO8GbyRGZHFFE3ru/oO0+4sHZFe2mLyW0DMk7kpmghOPpw/fxyaNKNoWcI0M/UutyuHIx76RFpqjJUy68dARazalu/l1+/+PPuHh6VXKtNjO6QEZRV+WxqHRxuDqXebxagwjlMxwlKidO1x0uJPabCU6N5Jx5fPKI7XpJ9gNelNhYTDvvhRBMqjlBJG7fusGTxw+RQu9iaqWrMqlmuOEK119x3lJQbDkRU/mOpCzwoVxAhSyCPaMNShpCEoyANYLr+xW/8sYrfPf+JU+7nj9+tOTZ1vP9J5d4IRFGY5D4JOiGjllV0w5b9C7eUlV1KcOLjE6K1TiidMFUogWT/T38dlt4yv2SYTSk+CldvyKEsQwW/EhKJQ+fgamdsLe/x+nZabn4WkX2ihjGsmFTksENGFMhRSAFMEaRpaSZ7ZcXaByIYQAqEJrMiJAKmQuZQgpBSIrs/9UkcLMZ+PjJmufNhtOLTbmEGlOKoaKQt8axFPSUUuSoyCGiTYMQEWssMZTL0vHxEZtxIIyhFDtz5PmLZ9TVDOEcP3624HQz4l1kUu/RmAqpIYyuyKKkQClQZoZgjciayhT7ahLFRBtlZAieFGBx8RCT7rI2CiMEY4gIXQ7CIUVmzQStDEFKUt7d53QiZk2kuD8uN2tyjuXPKlXZGOeEQrB1A/dPnlJXGu8D2iomGKSyDK5nv9rn2t6ETx4/JudMlQ03Z8dcdUs2/QjWYrTGKMF8fshqe07wEakqbk8sX33rDf7FZw9YDWMh8jiPQ6FcYWbnnNC2xuqKqjKsNuvyvtn1SKZ7e/zyV+7xzW//mHXXIYcOdv2XnAPgsbKi8z3n65Y/+c4PaduWPo68OHuJdEVsZitV6GHJMWmm3Dq+xelqyYuTE0RIGKup1IQoWsiKm/uvcL55yWx+g2Uv2azOC/o1JMCV7RkShSL5EZ/ljoCnwQVIRf6nzZymntOuzxGp4EK98+QsdjCGgtgUpBJj7VyZJ4ZY3A4GQhpYdwFlKlTqGWOmrie4cWRqK7Z+QFeWbbfl8ZMn3HvtTZb9gtPTl/SDIwuDyAVFmqUrW2cPQksm9Yzualsmz5RehFaWGDxuEMTgqWcV2UdyNIzDyLXDA/7m3/o/MKvn/JN/+l+w3CbGrgMXyFIUB4yoQWqCH0r8UiayzAhfUNiRhMogTRkMBZXRvsfrTFABtxkhJ/YOXkXKjF+ccHTjkHbs6bZbUi79u5x2W6xxQMiIlpLFxemulxRwvaCeNnRh5OzsGZU27M2P0NowtBs6VWKHOXZFchbKqbRqKkKOVKZiCK5QzZoaGzyIEU+JfqVQ3D0pSdwOTXx2VfCjkczj5y8gCyZWMwyu9F9yOXiHnb393/TnL3yI/6M/+6/p+guUlqzbLd4HfH9VROWpHEAyRRjiXUQleLWpWB8o+hypJxVXmyVZmrKeMJBDLFrbSpNcZNzdTKUSuCFwcn5FjInaWCQCYyti9OTkyCGyOb+iUpr9yQRjazIJ4TPzasqtw2N++PGHOCuKvMNFsi7TrCwFIUQEA7apERSFdo5gpWTYrEum286oZzP6cVVoBduOw3pSPnhYUhzQWhJDQUSdXJzw+3/451wtrgDNRDWYaaDRFZPDfRbbDT0RKUErA1JAKBNTKzWkQlMYY+bPn68IUQKJrASvv3LMpu+42DhyGDC23vFKc8nT61iIF2hUFqWIIwWm0qAUWlZ07ZZrB0ecn50TcypEFFUxtj3WTEAmvv3+h3hXcpl1o9mb1yzXgSEEdHnq4oIDqdGi3PRTdIQIjTGkvmQC57NjunaBzIGcDUhNjqWsoncv0OmsWEy7bc/YtdRVUwxruUxnUgwkICSPHEs8Q0uNT6qgqsRITgGlBHo3OTFmn5BSmRi7hNiRhxSi5M53xlQo24csFUmA8579vT3S2OPHjn5YcX7xgnEspcvBF7tbjJHL5SlSgZSCru+YmBlVAz44cjbknBndtlgq2eXbpaYfLorKWwEi432ZphgjiUKSREYpjZESEQIitMQ8oBCE3crPTht83xOjJidIIpHHVCIE2jCtG/7Or36V73/8mPunF4zDmpBC0VBng65rlNKsVqfEGGiaCjd4Vq0nCRiC59rhNVxUDMMKbQ3DpkMbi/cD3kGiSL4mlWU2O+TOjbt88Pn7xLhzIvQDQ+pKSS5msioPxyQMoeuQuioXWwVkRXSBupmy3gzIrGh95v2nZziXS3E5RaQqaMy+6yAnpJHlJScUIQYEASkFk7op8iMFRkq88wQh8b5Id7RQBBG52qwYusCTk0uE1IRuROnIxFiEaXBuRISKqpL4cIWXkVpb9hvLVVuweYfTW+ztz1iev8QNnnu359y9WfP9TzIu7KRuwjAOReD2+uv3ePr4FKUVd+/c4vL0lJw9HY4UIo2ZsFosGVzBGSppCrLOFz33OAaMnRSmew5MGouUDd75IjIjFha/AkTDrCoZ0eeXHf/k+4/YqywnV1sux0DeTd2vz2tev1kTouX+y0uWw0hlaoahULCMEGU6qiQpJ6StaFDk7cikntAPC0QSZBnYrs8JxJ2ts8JqTQgJKAbibuwQW0FVl+6I95GmZsfnt4zOI00F2SCVKhdPAdpIhrEnhB4lNFXTEFJPoi+XgeBLB8AWtKUUqsQjcym4XSy3/N53PmB/f4/Fukj8UsjEXBAEY4pFrY5gWh/Q+hbb1CizT+9WhessJUEmYnJYmUky0Q8FYxnFQKUtXT/yk8sCSvAx0PdrXqOhUYleCiphMMqyb2Zcbc5LebPSRfwiFVIXoU+IkUAZYoyuJ+U1ewfHyDND5SAQiSqSs6LrB4Tx7B2+wnQ65+TFJ0zUhNn8GueLS3IuBeoUy7NTakMMHi0NLoWyxciBVw4PONqvuf+0I2ZXSFw393jj7h0ur1aoWhO8L92JusbkhiNtePPtX+La8S3++A9/C+cXpBRLGTAngs6sludFMKhF8WtoRa0UQ9+TokQLAzmSSQRffAiq7F1IwTEGw9PLy7KNzbuNbtht4dGEVN7ZVmk22zWrboVOgr29a7SbC1Lx0TEOAUmREnXO8/TlUypR8+bNV7nqNgxdRxQJnyR1VXN4/SZX44KD+TGymrE+f4Ge1VSTCUbupGGoAiBAI3XpmMVQkNehy4jocF1Pv23J2bE/rQlxF0cUkRgcKIuQGWJCS00wZlfKLseDcm6J+ByLPVgIjvav85U33uJ7H3wfUxtivy72YqlY9i358WNcbEvcMCea2RzQuFQsr1qJUnRHcfv2TZarDdttQLqRmHoaIXBEZCpUteAkpqkRJqMwuD7ig8IrA9aihKKqbImaVTU5jPgQCkhEwFG9T8wOnTNDLKInASSZsKbm4Og6Vgja7YrW93T9SMqByjZMZw3rzTk+Rrptz2zeMLQ9EoNEMPhh9/8XSyQrJ2Jsi3E3FiN0cKlcrJREUTZFQimGYUvM5aqb2eGTtUErRcKjC++OxtZlmKIg+kjyjmwNTdXw7331LVrv+fb9j3eXo4wUARUzrc9UlaKSim3XIoVmahqG6JCpFIP/bfz8hQ/xz08+prYVN68dcTH0WElBFO1ukfGnqngtGFzL/aeP+Mrtm1RS8vZX3+XrX7zHf/7f/w6mfpXzi6d0wwK9y/d6V8qNLpa1XSLjq8x5u0JakEKhZGS73WKUResinlCmpms3OBEwSjBRc8ZxydOzF5yuFwzeM58d4fRIDI4U0q59LLFSMaTM6CMyK1RTUSG5t3/E58+f4VJkKiObxRkySmZHeyQ03TAwdEXQklJEpLIGljqTZeDl2XPAIEQpZUhjiH6DsQo3FlOXc2OJbZDIQtDUVTGjpUL/yFmUQ7IuN1mS4HSxQUmBloZkxK4MFNBWk6IsCuakUFIRiVxuz4CCkhRZEVKHUpl+8GQCQkuSLHEDqy03D2/x6p2bfPe972Ky2F2kMpf9lpQSVaUIYyKQSzZbCUbnymbA1AgV8D5hZERJw2SqWaxaJBIpKogOkYtAo9IKH2HoI4iAEIJal3yfqiqS99R2nxAGSFBJDdIWVnPqi1zGFeOl9+X3MDhPipnnL0+wlSW5SGMVWdVU9R7L5Sk3D/a4Wq2okmHwHeiMCqq8nCqLGxNaWBwjF2eXXJxdFO62rtChtNZ9HDHzGanvCM5TK4MWDmOPaXNh4YbBlZhEzmitMXaK67fF2lhbUvTUTbmp+xTwMZaCU8gIoTAi048twncYJcmyoBtVVhhhqCeSbhyRIhYe7i6nXjcVEsEPP3rC2WZFTAkhDbUthtqsDdF7NuM5SlIOUr1ASstyuy0TFClZrFdoOyusfR/KAUCB0YpGWdrRQ6XpxwHTD2UTpjMil+1K0qaopoViHEaUkmV7UknEEMhBEnSZDAHUlWZ0xVbpQyTlhBCBWXPEm2+8y2ePPiDFnuxEOYhb9bM4lEBCKoVhlKJzBS2ISAhhuH7tkK7b0vuOylhyTKQw8Ml7/7CgimWElLC2RCN8TAybZTmc6YAINdcPrjPkhHMjo49UZlpMgiLx6q3rXFxeMK2P8b7j1hQq4egBKxTeDQhJ6a5oA5RV/Hd+8B5h6JjWFpkFQkvQkYmdgi7bJrWTshVulkDlQvoSQPLlJTn0XaFEKMXcGHoR8AGWHr71InK5HRmd5+NnFzS1YT22ZGEZh8T+vOZX3jni//T3fpXvfnrOf/Y/fAsrM5VVDA6yVLvCX5k8Nroih0AIHVEbVsEjhWIy0dw93mPTj5yv1oUmIjIhjmUjkkJZScdE326QQmErhTKKqpmVvpBSJFMu/GnwVNO6IImzJ7mESCNaG5TUWGvx3YD3HVMzYRMCQ4RKgciRSIkKxCxojCXmhI+ak9M1bhyZ783JbbGRjj4i006cITWj3zCdVBAE2W8RKUDOXJ9P2fhE1/akVAyhQQWE1FjTMEbBGAMEzegHJKXj9enTJyRhULLIllCFcFE1ikY3ZKEZ8PiUqcyc68fXuVpf4IehRBIqy61XXqNbLrhWNXTZsvZbUsgIKfFEhMg43+FXY9kUGUGlJHt7M2LOuGGLajTJBzxj+f6lsmWucjHn9q1nqwxbN0J2QGLfHvDVr7zOP/2DPwEKLEBXmqdnJ8UOqxStd1w9/AgXHcPaI5QlJ4/SipdXPas+M4wBbWuQMPoBkzKTyT43XnmLRw8+RMVEkh6X/c6ezS7apEgu8eFHT5BF4lI+O5Mp47DBTuccza6xWl4VRjiB4AGR6NcLrDbUdUO7HUuZlYRsDCKUz15wkWtHR3RxoBtiKUQrS8qSlxcvkarh82cfoimAi4k5xLkr2n6NthWNrYl5KDjcENmbzen7rhBSyEhpyxZOlEHTdhwQzRyyQ6QMuhjNY0rUWnMwvcG5e0ZIAS0MypRsObK020KMzKbHvPrKFxAIMJrN4NFCEb2nU5BlZj12jG5AkTDaMG63aA3Xrh3i2p62L0M4yDx7+hAfU9lWNJJGWpLZTfp7R2UmIDMpQhgG9vcOkULwT/9//0+0EYxuQ/CB6XTOfH7IxeIcmTNKajIJVKYLLa+/cY84DDw7fcl29FjbkHDcOLrGN979Gm+9/SXuP33Eex/8kJOXzxi9Yxg9RlfcfeV1Pt2s2Gw2peydIeRMrRJKlfhopnhvhCpSLEhUxjAEj6WQ57QErYqQbbnckkQpy2slSLEI35Io/RuXSiTTKI0LPfPJPskHgvDcvX6Dd17b5+OTNdeObjK8fEkaixhyYuvSKckSRek8hl1PRUnL4AYQiowlUyAl/6Y/f+FMfE4Fmn+2uGT0A6NzSCkxyu7KRgmhiiUtZfARPrvqeO4Gnr484/e+/UO6znG1PCmTE6F45eYhSiogFci/tkyqhkrrsnaglDSDEAQpiVkDkiAzi3bFqltxuDfj2vw6m9XAtu+Y1lOi1HRDz9CPXL58iXcepTVa1xhdY3UpZb16/TaEQGbkoL7JtDpmzIJRlBtv25aJfJKwatdsuyXD2GOUJIlAZRqMrZCVoKn3UbkmZ4upZuQkfmYvbGZzLjdLpNHszY8K+isEvPdFgGQq9o/2wRh81oTomB8eU1cWIYrBcowB5yW3b9xGab1rSpUPnjWqrNSVQihFVoaIRFuDrgxKCTwRLyX9uKVqGhAaE8FmgTWWblyzWF7gXcSFSNxl5BqrqbTGqgZtNNoYEobRjT9jsytZrK3IRJQCj2C5WpSiqYJxaEnBo21FmYkLok8EN5bsutEoXSFVRuaMj4FNd8kwtmy3V8XeN5YeRogl15nIKFOhTU0OYE2DkpqqMcway82bdxm9xFTzcskQkb5vESj60FFVGhCMziOEpLKWurZobbGmQUqBDw4tJLPJlDt3DqlrRWMNru1wwTMmT1SCZjopfQERUCkya6blQBzLtB52URzx08uXIseaOBhqVdPYCUYarNTUdYOt9wqNIgVU1nzjzS9w+/AVXPSkkOh6V6gURJBxh0xUzPSEN++8xoPzqyIWUgofByDgRXn4Ka0QuvQRyBKZFJPplIPpDCUySmZm0yPefusXmO3fIgnD3t7sZwd47xxNrbl+dANhajbblmdnT6mSRaRS8plKQW0kwXclphUcM1szrffQWrNXS27vJarQlWnP2NK7ASU1jZ0iVcJOpmyHNQ8efcj1Vw4xWlHZqkhvkiybn9qixA7fKCyv7F8vYqDoUVLgnGc7eKJSRAEu+IKxyw6REwKBtBp0Kcp6lyApNAotKH/XY4tuDNknxtHT+ZGcI1pXZGn4/gfv0fWe1bjm2dXA7/3wGYtxhCzox4HBh4JyGz2PnzwlZBhdpO9HYpZs+8JpzlHQDQ6pM1VlMMqUSY3UCDRCFopS126xxuyKm2Znfa6haujibpspJH03cnG1ISqBnU5p6imDTMhmgg8ZqSTBB5bdyHp0VJVgr56hsmKz2RbCVowliypLQbipDUJKpJK00SFEwmjFz927zd/4xheYNhUejbY1IeUyLDEVQlfkFJg0Tfm7JjHGTBgd3WaB2ZWUp5UmOUddQ85jyfv7hMgSYy1TO+Fo/wZCCKa2wYqGbhyo67KJE9nSe/DRgfMc7s+L4TIIzi5WLNZruuDZrFt0Lp8HITNYTUIiciisb6lwaaBNI5OqJsXI1XKNzGX1LqRmbzLBVuWl771j7+A68/k+Shlyklw7uIVqpohsS9TLewZX6CwyDaRxJKmaUCiNCODNt77C3/+P/8/84q/9Pexsn9b1bNuO937yY9p1zy986S+jq2K51YCxusTJIgxjz2Z1BblsLs8uT1kuL9hsF0gSVdPwlXe+yM0br2PrBqTE6t1wwBg2g+bTpxf4sSfEzHyvYb1Z8+DxGcKXDbY0CiHVDkQR8UPP/U++zZNHP6HSkspUVFYzneyhEBhduiJZRUIeynBGF859SgG3XVEbRcyJ7DzeO4w1RZqkFdrYQuABcnQYJSEXolozbwjesVlv0PUEKGSeRiuUKLjB2ljm5gCjJE0z5XD/JtFTYBhjwOH5wSc/YbFZkIICLFIUKVUWHm1MicDNr3H9xltcbV6QcldSBzEzrwyv3r4FIqK1pZldx5gZ169dRwhV3h9KMqkqKlMBirn3HFW6DOpyLASx2Yzrh3O2/WnhqmtZtpfJFyGhT0RRIor7+3e4ef0ORoxo4m6bYxF1ha41pJHkR6qqBqXImfL3KyRtP1LsOIpaFayoMhaVInevX+fVG68Ux4SuCK1DY4AEMpatqZAkN/DanVsc71X4oYVQNt3bzZbNtiUjCDGQc8RYw2TS8Mtf/yL/0W/+Ev+bv/Pr/Oo3vorVGu9GTJYcHtzka7/06/zt//B/x6/82l/l+PgIozzaSvamiuXyktPLE7KRmKpGY9DC0FQaLQtdR+lyEdVKFEeFKL0DT4GANM0ela6xqhRWv/bmPQ72GqJPkAQkwbXje0hlkJQ+3OtHc9585Qaz+RRpLOPQUlWWSiicH8lREHPmn//kx3z08ilNY9mrNVpLRDbcPHoFo0s3iChRSSByRIrMmAayKluwfxs/f3E6jZJYo3cGPEP0CR8DWtmCQIMiEgiJqip21JwCXSd5+PycdVcY2VJ4JEUS8vjZS4RQ1LoqyL8YSUIjtCrYpZB3nFiPSDUH0z1uHh5zvr7AJV/EKVkyhDUpblmvWywSlyJCsBMeDeQsqCqL0jUiJ9rthgrNpJ6ha0sOjm17Tk6Gs6sNVWNxY8D1xaAopSkvMzIqK7wXBEaEsMQYqZoyfTmeXGNvdsCD00cFZRULak4paKZzfBhoxwVJQcrFNiqQOD+QtmUCIWQRUGyWi5+9QMvhXBJTKvzXUAx0jWkIKYBUCCjSmBgwWpJ9KjnkHNBCYFSFiBm05PD4LsvLZ6jgQUm225HJXHB6+gJtDYS0M8lqtn1XYiTOA5mcIjlrtNHMZ3Peev1dHj2+z2J5Sc7gckAZydANCGkQwmNl6T+46Nk7nLPZbkk6k7xAjJHpVENt8eNApQw2F7STTKUZHrCFCe46tBKMw4BQCucjqlKEkLE6I5NiGBITVR6yygq220valElA24Zy+cmSlMoE1xjJ3sERk6pmeXVZppwpEX3B1O1PLX/p57/C17/4Bn/w7R/x/v37bNsOZEYgi4Tq6DaXiytc15VVcoIsNEk4XIwQWmy1R5UGfN+TsqDzq2KHlAqrG2IINHWNrfe5cXjM85eOgr23dL6iG0/RRhC9Qym4cXCd8+WCkAqJQ4pEpQxt3/OVL77LJvQ8uv+EnCCIiDSWygj6vkOJispaYhoIqVwCwlDMeygYhjWff/Zt/Oh3Ns3EdF6zXmwJOXHt+ICvvfkOf/q979GNHmVrvCucX2s0R1PD0+WSnAxSRaa2ou1G/KoMA65PNf/H3/gy/9Wfvs+Hz9ccTGbsArJ8/d2v8sFnH3GxvipTljTw9PFzNIr5dI8xrJBJkIQheoU0E3RsuXZ4jV/+4pdYdBvG7OmHEYGkb5e7AGJCJIGua4LzZFmmViGXCenEWnpK8U4JUUg47LZaZ+cMIWJ2vPEoRvwoWF2MTGcV1w+nPL1cAIFFF4ghY02ZFhmribFQb7zzxBBRyqBkLvEBmZBZkUjEJLhcXKBEzaSqEQo2/YgSZWkRZcYYU+I2AqQoz4H5ZMr86Bqr5Tl+u8HUDZN6ymZomc8nHO7PmWrJi8UVl+1ArQ0ue7ow8t7jK/5v/+hbPFu2XLaepMuf3QrF3nyPbdsC5TA/DiOZXPooqRRsk5A8Ot/w+fn7LDabwjmvKmLa4EPCasXR/gHbbklKGaUVzeER46an9z1VSDRmhsyOTbdlUjfMJ1NGNzI0gSQj0SuqeoJRGh9HxmHACMOkrvFJ41KR8Eldpuo5lMuPIrEaWpClO6S1IQVHkOBzBqnIOSJiojIN0Y34JGjMjAOlON9uiRGmkwPQkaQkX733CoeN5o8+eFAEgDEhjGTx8hHIXLwNIrDZXJCE5NbhLV4uT0te30CKA//Lt+9QV5J/9P59VqJsmg2Z6DPaHEIyRDdS2YoYoHMtUV/j6elzVtslSoKZWOqmom8DRlu6GDCmZm82p+suS6wJIGe60ZNWLZ+0z9g/uk3MCWuK3KqZTHH9SDYjulYkX/DL/WbLbH7It77zHt3YEgPcu32LMSYuFmc02rA3v4WRgi4ZdDBcbZ4QYrngGlsT3EAORZAjsieKzOBGUAKXBs7Pn4I0SKOJITK1DcPoSEqQcwEcaCWRUiKSwkrF0eEe7TjSDr5A7nEMXct0KumjwM4Ue7Jm0wucH3hx/hhpNEPXMQxblIR+6KltTWU0LntCCDuEpGF0A9mDcwNIRYqewbUM3UBKCWRGGkUcPRerBYu2K5thadj262KfNZrZrCGERAqBykp6H1FKs7c/Y6oUy/EKsiDLxF+9d8jxrOIfv/8ItCmJBqVxbkQqT0bRWMn1g9dZrl7yL7/3kBTLxjHnkuGWQlFVFcl5lFBoq2lD2BHgHNlnOt+TU6LSFd6NaGU4nB2zFgIl5+Qwcn024+++c5v3X57zo5MW7x1x9Ewbi5SCZn/O3/zNv83J2Qn/9Pd/m82qPF9zCAxDh7QlXixkQgnD0f4eX3njDj/3yhwfMk9v3+A7tqILgYP9V1H6kMvllmfPTlhcLRnarvSHpOLgYI/leo10c75w723GbcvL8wtc8DQaki5Y75QyRhX7qpaG3UwZHyNGVWz6FiVLtNMKw7MXC1JMSFFcAtpofPIIJPPJnLff/AJ/+Y0JZ6sV/58//QFC1EThWQ9XZCnotlvOP2wJEapphd96hFHoyuBGx0xZqolh5ivGqy0pVmUzEQIpJSa15dbeHs+cp43jv7tDvDDlw4WgmKZCxFSSkmgsf5kZyd7sgGFcIWMRePggGUZHXTV42RMdJAVNMytWTAN939FUFiVKnEALaJoJm80a5x22sswsvH33LgdNzXRZ8fT0BS70XHRrhqFHpIxVpqxWUrGl1dbSEWmaiuCLca2yCoEiRMlnjz9EG4nE4pMgxQ6Bx/e+iEN2026ZyjomK0Uz2aPttghlMVKQs8D7RGVK9r42lkolhizIUuJjwG22pFzYvzkKUij5XWvKTfWtN+/w4/c/ReQMsnCwo+/IFH06EoKPTGpddNVjQieBF47IjqOPKJcoMkJV2Inha1/4Ag+fPWTTenSU6ErS7E3YdmsODq7TXl2CkFyfzfjNL98lkvi9H3/MMnZAQYhWVYX3AZDFaGk0GkGKGWUnXDu+zef3P8HHyP7BIcNQbuPalLhRbSz9MGJMzQS4dnTMerndXX4m+HFkSB4xlvwfJhB9RMtSMsMrosy42DOr98iCQnMQgeAcWSqMlJAkRldUUtK7kVX7DGEEtp6RnMOPgayBOKJlhXceciCnIm+YTSYs10uiL66AaBy1UlTG8PPvvsHf/LWv8/zsih9++mn5s+WAoGAp225LNzq0sRzM59jqiLOrc5R0/FT3PN87YrM4JedY8sUpUxuLVYZ+6Akp4TJE3fLw8QVVZbh1+x6RPdbjhnbsd5fQjA8DV9sNgTJttqJQJpbjmpPtFb/86qvYWPFUPkEICjYuJnweC+1AJFwu1tCMYLtZMakMB9WUTV8Y2j/NTIcU2QyJIXgckUzm6nLBD4fPGL1HqWL30zJQUdNlwbOrFfP5AV9+90v86P0f0Y8DUuuST8+BR8vIf/nNTzjvAvOmKYUgInVVcb65QNm6vMiqmkorxu2IqBu2fQcpU9WKbvRIJRhd4NrRXerJEX/83vscXb/J02dPIQmkKWjTQooomfpXDve5dTTh/fsvcCKTBkfMCq8DKYZyqYk/pU5M6LstspIYJREx09Rztv0WQcXtV2/zzo0JEyVZD5Flu0Yoj1GWG8d3OV+eEHw5tISUkKnQMVIOSFEKjtpK3AgISVUrohPoaUXvHY0w5OjRP/01SpOiJ4lMpWx51gm42ixJMhHDgJGGcdsytYb9vYbXbx/ym3/5l7FW84ff/SEffPKMMQUG58kChjHxwfOO0Y8lghILCUkrzTi4YptMGe8h5oA2O1BVLh4PgJPLJVqDi4mcRsZx3JUnJQjB2K3LZdI7EIKj5jpBLjm56svKXYw4V0phY4rErqWSpcSLrqlEmf76lJDJIXxG6MBIIux+z5PpNUSWBH9VIn5W0HcDoxuxRmJtyV6TM3EnZvI5Qsg0kwmmmTP2I323QWwLP1yaIvd5+50v8/TkAdvlFSubadQNZgc36MYWEX3ZUscBGQSmrvBZ0aURKw1X45KYA9YolC1bZ2sEjdFoUxP7ltrUjHJAyo7f+m//r5xdneBdV2hK0WPQvDg/4aU+o2mmLLYLrJK8fec1PnzwKd3Qc3RwzN03vs6safjh9/8Qr1MxNIuMkJoCFBh4+fJ+GUwJSRaZzg9InfC+lAKzFlTKUtkZk9kBd44PeHF1gRvXJF9iqFrWRCKTpuH1m3f584/eI8SyQa2qhtdffYuHzx6XiaXwWGmRwiBy5KCek4xhsTojiUBOCpMlQiT6YUSZCmMtKY6lT5MDRYRQ6GtnF1ek3fNOKcXefIJLgRRhNqn5S68e8Bvv3OJ/+N5DPr4cCaJDYYj9tkxCaVAGmkmN1IJNW2yytTbknFAy70y4CZmKQCuEHi116WcoWcRxumwQBt9yc/8Gy9WCwTlMpXl+ukbk0uXQtmHZlg2wMZmXqzW1lhzMJvTOEXPm+eWaFxvLfH4HFUdkHum6gohOaJrGcHB0k735nBdnnxdPSQgoram0xYUBrRLbzRqjG4zSBc8tEn0c0HURrumYQJYtttASbTJv7AUupOaqvUBXNW+88jZfe2fO7EDx4fl96uke49gVD4nM5AAiafaa66Roi40+UJ5RIZKjQKpS4oyp42oR+fTJM964fUgWNU9eLog+IpRklJbnF2d86/t/xKef/YDF8pLT03Ni0oQw8vLsssRd6obeG0LKiBSQsQAc9us9etcjsqdSFUP46XMSsjDkwROULwXUXCKKudI8vTonRcfNa7cZ/Fi2bv2Sea1Jac1PPvmQ5eVh2XSLQikch0BlIMXIfHJI169JKeC7Qg5UQrPetmQjWPsNy8c7oIvWTKsJ02bCYnGOyxEN1KJEV/9t/PyFD/EH82tst0saPUXJcqBoQ4cSBqMUtanwFBB+RjAGQUoBGx0OiZlPCZ3EU3CSwYliyxzdTuxU7II5jdTasonrwgdVirqa8tqt6/z6r3+Dr77zBb71w4/o/mTk5PQUEWFSN7Tdht45hCxorKPpMe+88Tbf/+THpRTjCiUkZYmuLckVJmgtFWPI7B/epN2s6bqBTMFfTppJeYGlkrmSQN9vSdEzrQyzvYbleihkDmEYK83nZ48IPmBMUxB7XUsmEmIh46RQboAISUyCHCR+lCT3U8xVQU6yK+so2zCmHkRmDJ44DmSRCSIjsy85WyUhCCSOxs4IMVFPLF946w2enp7QDxsqYXFCsD47pZkeoKb7TKczFptLYm24v+14+fIcUzdI57C24fjoBkpIHj37HCUStq6wSmGbhrYf6dZLvvvtP6QbO5QxbPsOKcq6DhfIVpOkJqnI4BwqJh4//Lxk0UQZL6oMOWRSLAfqoSsTXaREiogyZXJupOD4+jExSKQSNHuSTz/+lDAGkqn44ttf5d6r9/jeD/8lF+cvS4zFl8PzqFuGvsMNEVVJpB922w1DTIntZsV2vUZryeA803pKJTNDCGy6wGePX9BMai4X28K0TwUTJVGE4Dk5fUaIEaUsq7ZjXC4QaKzS+J2NdXP5EC0V405kI4D92T7jOJRITMEDEKMkZAFh4OTkOT49ZRx6QoooUyFzQhlVpph2Sox9Ia/0kTYNpZz83T/D/PThrgWOYk6sjGLMhboCkeg8WtdM7IzBrUEkjBAEJSErrI2EUMhR4zgglMDaihAip1eniJzKyjB5xhCJDAjVlOlITmX1HQojXOcSJQixZLwfnF0REkyraeH8EvE+8MEnnyOFwGpJ322J2kKAse+pq5IpHnxAyVKAlqrkIBerFavtmqw1WZSWACEVn4IfUVIzbQw/d+8N7t3a46OnZ8S+RSKwdjc1y6BMMeT6mEnjQBKS3hUUrsoSlx1SS7SpODk55/wkkLTA+VJiTjtqSDtskCljhCys693ENaUSd4khoZTA2jlSjIQMN44qVquBMZRps8w1B7MDlpsVcueTEFkglCYKqFRNiA5dG4ah0CMmTYUWHWM3sFcbbh8f8df+6i8xmVZ8/vwZ73/whDEGam0Iohh1oxgQKZF8oDKCkBMqR3zo8SnsiBWyqOuFIISRWVUTREWIHT44rKyIHoJIOwxoJAZJllXJjjuHVIa6njGf77NNAxNb48NIN3QgVImaSUm9c1cYHwtGUBbHRMCgfGZvVhHSiBMJskfIIpMSUUDMSOOZ2oZ7r93lB58/IaZiw445Y6uKHCATqLREiIqDZsqNGzc5PTsjuoHkBsiZFAJJaU5OH+PHAVNrnq83XDnLraNbPDm5TwFnSmIURBGY1XOm9YTlZoG1mnHoiolbplJAlpJ/+N7nkCVCSw6U4e61PV6sE1eXF7TbDT4njJnSdWsKvCIho6WqFF969xu89/53cb6nspLJbMIYIquuxV48p68nRAFaZXRVkb0j5OINnB9dJ6WB5cUlmAaMJMXEwcEh29GhI1RasVwvCeOG0I/cfPuIaW1ZLZYslpFm0qBExThsePriOU+fv6B3/c+K5iElnjz/nG7blhdmgr3JnHW/hRTZjj2h32AlJFmBqImxK/8gpbuTQsAPJWoqZEIqXfLG1YxuGMhKUtsGpSYI0zAXioqM9x13Dqb86us3+f5nl3xw8RKdDS45xO7Cl+KIUJL10EFMGGPRMRNyKmK6qBEqogsUnCAyCkVdz1B5oHc9tlZMq4qub4lRsFitUMKgVCb0AzFG6qYhBo+PA0GAJPDazWMWa48fHfv1nI27hJz5cLEm50xdXcPHAaUrQnL86td/gRxrfvjJ97g8P8V3DuccI4Ugk1KG5FDC4FygampyjmyHAVQqM0iR8aMnuJHaTmgmDX3fE1FMKsP/6tde4+lVy3/37efcvvsF/sb/4j+ht57vffzfUrg+I1lmujRilCGOA//4t/8ZN6/dIPgepUppNJJRQhWbd8oIUyb3Yx/49gcPOV06QpScvDynHUZkhuX5I+rpAfc/PuH04Ajfrxn6sXRwKCZh7xw3ju7yzrt/iT/9l/+I1g00puH48AZdKFFFq2sOZ0dMKsdlX7bTQogd+a78ZzOZMmwSSmQOZoes2zVdjChjCd2W5CN3b73O5bDg/PKKR0tN368KGcz1kFIh12jDdmypVIl2l05iQguJN7Jk9lUiuIjHUU2nbFKL7z37x7d4eXFOSoFnmx7n/s0Z8f9ah/jY9qQYcd6hlaJuGtqtR1cT9mdH/MI7X+ZP3/sXjJvVDptT0F2DLOzPblNy0QWqn3BpoDIVIcXCUY+xkF58ROiK2ewAITyr1SUxQzOb8e4X3uJXfvFrnF0t+Jd1yT0pUVY5UitiCtS1oaomKAWbcYULHZJyEBRCkGOAXdEhpVBMYSby8uRTrKkxqiKGxP5E88q167y4WhA7CHFAYIjBUVvNWzfvMYwdl0NHypmu6xnHXEoGKSNVRguBl6pMOShK8aACWmpiHPEh0uXM/fuPyhdSid2DSyCExgdPHGNBkwmJH3cv3xQJMWDrgjZS0lLPphhrsU1N3y5Yrdb88z/+Dl0cS3PceUSQKCFIbmC5PKGuarScMbYd9188Z7ldY1BokZlMKiazA6w1TJantJsr4tATlKL3W1LQRJnpxy2g0KKspAIZTaaPxQY5xIgQskwmKlOKJz5iNbx5vMfWRS77kd6NSKmoG0t0jtpWdL1DilBewKnm5PSCv/7X/tdcXL3gww+/TWU0MgmEVOzvH3K0f8zB3gGrzRU+BqSSLDYnKCTWlM0IO6tdZS0KwRDdLnqs0FqUCaLMhTdrGtrR8Wff+i7fff9jAuXX/9zrt3jycsmiLcpwKAzwRHkZGFU092iBVpKIom4yVgtaB3rHM19s20LfiWKXH25QFDlRP2aG/hJrLFpLpDLkDGEoSMmmnu02Tw23jl/FDR0nl8/LZzwlwhBKJ0HrMvGXlu32gqoqRAepBCIpmmqPL975eT549h3uHU8xaD58drqbuleEPJAJoCgc6tqgtWK1LS+wvGvsV9LQWMtq6NFSsVmv+M73v1PQq0YzBleENMIUq3EsnYa9g2uwvKLtt1RKMUbPdNKQVUO/2dAPjkltQUSC36FcDdR6x0rOmfOrx6QdtvVieUYiUVWa69dvIKTm7OQpOQdC1nz47IrTszXD2hMQzA+OwaXywBYJhQZbuh+1reg6XyIaEZKK9KPDGkn2W5yLBF2+11ZmKjXDNhWnF6dsF0sm0xohNT56xOhxCVQSOAJaa7507wYnVwOehFSZW0cH4Ja8XLYc7e/T9j1t11JXlm7oSUKwP93ni++8w9OXJ2zWS8bgEKGIhBCath+YVBOOjia8feeA8+WWP/jOD5jV+5xdbDHkohRPnpAFU6NxYyAQUbrIpASaMYPxlFxtyFAJujhCVCgUmzEUC6UPWDQSECIhUkJZVcRBypaCroeD/T2kFjTNdf7S/+x/zuryit//o9+idy1SiRLdqi0hJNpcrMIwoZEWWVtm+3s09R7Dao2UI2tnqeOAjoIhKgY30NSWqBU6R/qQ+fDBE9Su/JxcKZFXlSh0JUr8U2ZJJSN/4+2b/NPtFaer8r4zpsiXYkxcXJwxaWaQM5OJYbUuG2IpoWsD0/k+VR3p2y3bTSmj18bS9R0oid71gKSxpVyaI5CRY8ZODW+/so9QmU9Pr0guE0VGZL+LD3mCD9SNous8P/jhHxOzQmvFDz6+T4gjKSSElQQfefTyQREC6TlmZtguLgqxg8RmfUVO5SLjvN9NAhPbdgtZs+lbRmOJqUQ6pUy8/+ADnOuxtmJvNmO7WXLz6Aa6Uoztgj7EgjoV7C5/ZSAnVSbGQgBbbRY7qaEEVYzK3mdInkljcUHTDY7aWpSWuOCwSuJSwpg5IayY1HOMstRCMvoePWk4mF4j5IiWFbNpjSHyrScLPr/6gGeLLeOYCL5nb++QaA2r9QqlMnf2p0yU5sHliqgkSgpEDDB07FvLGBI6QlQVWmS0lFSiZn64x8n5CUPfM4oS9VTGlAFEjsiY2Ztfp+82xODQVYP3gVqDiIH1Ys26LQjhs/USnTXd2MLuMtm7Fa/ceJOD/SM++vSH5GzoxzXedWVLOASUlGRV8vvet0yqKYdHNzh/+RS8L0OGJHbiqUIkqrRFi4hQu6JlDNw62ufXvnKb3/vJY+6fbpBmn6P5NW7f+7kiWdS/yxhSidN4h5IVQgsUgScvPuXk4jlj3BZ4rICYBWhdSrKxbPKEtuxN5iw3V3zw6edleJWLzCwmzayecbh3wNnZAy7POypZujQuBNQOby2ROHfJJ+//IT505TskNet+g6oahJW0Y0t7dYJOoKzGVjUuDCijyEkU6lil8aOiH0bOwxlmOoPoGYex/PmE4NGLRwRgag3brkUkjcSDpcRHYsAYS8wS37f4nNFCMpkcEMaubJyMYvAtUkmUEkgEKha+/Xq74mg+4VZTsRkGNtt/x4f4bVhh7BRTT0m+ZbFdoJVChiIGudwskUJx7egG8xvXuf/px+gYywNTit2EvjCNc8xldStGUnYoMSfEjqaqme7t83Nf/Cvce+NdHr74lPc++hd07YLLzYbvvvc+5xcrPv7kMZvekWXBWZbbccP1wwlNpRliw2qzYnF1hrGGODoCAeElldUFASYiIuiCGQuSxlTkHBiDQ0rLL375bf7+b3yV/8s//H2224HG1CWbryVjjDw8eYJQlkBEk3Yd4wBQ8q0xMZ9fR+kNm+0VyXukDFTGUumaTNkeKCNox65w68mEcSx5bOROIpOxukJKjYstPgQqa3finwypFO2Szty59Qa/8vW/yqdPPuTH771PRmKlIWgHHrIo2bHpdE7b9ygstsmMvaJbbYnZI1QiJMHF4pSuXTPGSAyeppkWBm4oKumc+VeSDCFISexeWImkAnVd44YRIyXRlZt5+FlJKeGC4/OTkaq2gCSHiJQGkQNK1WihOJoLkpyybjf4oWViK773rd9l2V0hRcC7QM6S5Ac+ef8HPPjkI1q3wtaWub3OenUFKRBTxCcBEt64+SpfeuseDx+fcH22x/c+fq+g1nKJcDkxEseRICGPkvqgonOes+fPmSqNUjCdWYLwFKKVQmpJXRedfDOpGUZXzMIhIlG88+6XefL4czaLLYKSz42xkJJyLhecDITgGUPh3drakoJhMq2LW0AWmo9SRbfuhoEoHTnBxdUp4Mp2QQicd+RU8F2uHyCArQwITYoZIQM5weG8IouBJ6c/gRQ4PN7HDY4oi82P4KmyRDZFqjQMnrb1aDkSRo8QgiA8Ukp0VTMSaCaWbT9AhpmWSKtLGVlJEKVQNYSBLATeDRjjMVWCMe0uXoohemQQVEbTR8fgitArJodEFRSr80gyIWaUhkk1L2VdIkaWz1pl5z+L6B0cvkpjBCdnT7nUGtVodBRFaiIi3VC6J8YYrJBkFxh8C6KUF3VdjJUiKOaThs2qTPSqqvQLrLGEzmPKOYXXD/b5zV/8Kh88fsa3H3yGyMWloEzGpBIfePjyinbsyUGCFPzg/Sdgywt4sdyW6b3OVBTqVEieLDOrzVDkUNEjRAVpxOia3FhkgGwUy87x6OQSkSW/9/vfI2vBuhtwEYQoyLipmjK0a8Y4YnQRkOQYSOxQrrKIssy0oaobrlZrGivxAbTR/NyX3+Ll+SlXlx2IiO9L6c8PAWMVOXdlwICh3bQkEUip4eXLU1zvGF3C2JrR9dR1hapqxn5kbzbFyYwMgbqao+dHHO7fYD4pQ4rppOZxe8V6tWS56bApMQwrum4s019pUbZi02/JbkAbhalqohN4X7YqE9NQVTX9ds3FsuOb733GdnRM6op2CPSjp64q+q5nPrV89Qtf5+ziMc9OHlNXB6hqwuJqBabgc8dxQMri8AjeIbImxERjLFbXDG7EjQ4tBFHtNmFkTrvIn3z4vGwasmLMLfPZhKHtKMqIXOgkOaCVIeZSuA9C0ZgGEcvU0g09m9U5thK4aHn7K3+De69c58+++d9wtb7C+YQMOxiFFAUvWzVs3IAWihs3jmg7w3q5xpjyrHBxwEnwMaDyjCZbhIhcLF6UJm41Lbbd1QXJA0Iwn+4xmTY8267RSqMkeF/Kl0ZVKE25xAvN0dzwH/3tv8Xp+RW//c0/LkO96AghYJVFK1MQv7lQyLz3xTSqFN45LoZn3L55my9++Su8/sprbLYL3v/8Ez5++Zj1VYcykjHA2HV4GTGNQWXBb9w74ldeu8V/+ts/4NQFhKrZ35/QthusKtS7vndEkcguEqTkcnuJ7hRvvPnznF48pusukFlhtCouEAyNqPl7f/c/5uMHD/jzP/8dVA4IlQq1Kwv6UNwuLia2Q0uWYKwp26NKorKlRnD24gnSSH744Q9KBASJ0haRM6aaoOsJ0Q/kAXIKLDZrJodzhj4iXYnYGWNJOdFUChEVs9k1Fqs1Q9chc+KLr8743/7Nd/m//3+/zaOzNVXtuTh/wj//n/4bujRydv6Qua25chFjSvyqb1vkTuro2kuUyAXsISwhlGJyyrv0UwxMTVO29DHRj4GkFQbQwuDGkU2+ZNNeItGgMjGt8DkgC4uLvekh237Fs6sTZFbE3JfSfuhBR/I2M5/PEHjc0OOBPAb2jCW6EXzpJClTsdqsIDkardG6DNsEiZBahMoIadiGAWMnbN0AqTiE+uip9ZxMT5ISKxTt2JGVxNYVbhzQKrN38x61X3K52eKTJmeYNBO6fkvOiRQTk4nBypp3b7+CFCNPL85LZ+7f1SF+b3LI4Byb9gKZBAqBHxxCgYs9y/UeX33na7w4fcn66pIYAlrBtWnDto+4HEmiqNDJmiQjQUiyqphVU1qXGJ1nMhUc37jNO299kdpqzk7u88x1nJ2e8bu//2fMzB6rrmXVLkkx4GNBNAU3cu14wo2jA7790QuyLDx4QkIgUSqjsuXOteu8fWPKn33yBGkipEIpMKpkYPVkwjg6Hjw75//1z/6cTVfUxCmVomMWGUFmjEUCItlS5iqCvabBh0DvIkJ4zs+fFqNd9iAkWSisKgZDpSyz6ZzRj6Ay8/mU5dUSqRTWVCSfCj5MQ8493uWSsQJ88LsMPBijS0RI1fzC13+Jf/AP/j5/8MdHPLr/OafnZ3zp3S+w3Gy4eHnFeigf2HXbo2XN1fKMnDOJgMZgdE1K5UtU1zXDGCEHKgRGVwQfkHZCCIU6Uri9pTWf8dRK44dAo/axSeFT2OVrC9c6pVSy8MbidqKZw8kBCOjdOV44rjWvMKsSv/61N7lxa843f/SI9z9pkU2FD47L5QuQshzsRLH5JQnbcYXbXgGJajJnNtOltEYGCbN6wnazpW0HPn70mPWqI0eNi2WNGhPYak5lR3ofS1FIaUyu8anH6ooNER0zP/z4OSGWp1VOESMNk2qy2zAItl0PQhNlpJGGJ4+e4kZXLjoUoUsWZQ2njCg4KiFJ0aNkQkpZynta0fee2tZslitsU2N1wzBuydKRMGhVcnXtOBR2fs5YXSPwGK3Zm+4x+C0urqmshaRwY4eVkjev3cbMLdVsxrd+8jHf/fAZ0Y/UkykkGGKLECXv5/2AEKCkxPsRZQqFZBx7NJlu6DDTCTJnJlbSj5k+lom5ohgyY4g4URwESmi0UpxcLAg+lPxzSqXIHSU+OYTQGFWTZCSFsJMbJaaT6xhpaduzMiCIDqsN3kdGN0Iesbrm5YuHuDBgdMMwbFkutqWwJirGMZAFdKsLQBeLcFYEHwl+LL9nkUk4rNYcz2fsScmDxRYXEtX8iBt1+fOPqadvhzL1TYV200waDiaGI2uZ6oqVC6gkeffWAYt+4MnVimVIyFx49tO9A4bNGiEsPgeEKln4nGEcPQKBUZrtZsWD/sNyQOkD168d0rqRHDJVViSRsEqz1xjevXuP5xdLXry4YH5wzMWm39lDy+SsEal0XtIOTUjGGMnU1PgYIUI13efNV27y1S++yW/97u/T9Q6rKjSCZ49P2HZr7tw5ZLtpWa8VuZzayKEUzpL0rHKPkBmdFZfnz/nTb/5jAkXeFXOJ340porcbUjast4F6PsXYism8YX4w59rxda4fzNlXkcO9CeHJc2JfIQ4zm+UFSiSCd8RUtqV9P9BUFUFmcipDo0zAmkLXqZViOj/karnEasmPnr9gb/8apmowwTOxBqk0Whp89rz36ffZn9XlYjy2RBnYrxucj/h+S5QZay1WWyphGNNYMKg+sI0tRkmMTFRNzehBpFysjQIuthtEX4pySMG6bxGpiLy0scQ4kIQuRuoUsE1DyJLQt0QBcScrGvoVI5n50au8/dW/z+ryGb2TaDRZuUIGUwaRBfv7c24dvMb9F/dJOE5On2HQaAk+jezvH+FHg++XCDLerejEyF6j2fqR7AT0DjXVSGNwwVMpxaa9YNuBUDUhDEQBUltyTvRDj1CJmKHShpTL984lTwQ616Eku/x5hZYVMV1hTYULRZimNFQTAdGzv3/MvVdf51d+8Vf4tV/9a9x/dJ/L1YaL509I2eFCeTOPwaFswTWmpPi9j17y4fMFK59KdCU4+hEyhovFtgivmrJFw2ZIGYcrBusXD8Amps2McWzRRuK9RGEZ/Mg3/8Wfc3z8JreO79GPV/BT30JdlXhTv8aPCbRkZub4BCmO7FmLInC1OcV7X9C+WhJCYlJXyCxwQ8d0PmXbbQmxJ6lChhHBg67Z37/GdhXISvDlN+7RbkdOLs5pXctqHTnabzi2hosOPnq64j/7737Ew1OHEZovHk65li/5zrf+CWJqWZxfoKTBTGrc2CEKaq24TKTcZfIVgwuEmInRly1/hqqyWKmZzBr8mHjjzXt8+PQBvWvJoiIKibaKyij6rieKjJEaH2Ih/UjDMI6M3rN/eA0fAm4cioQtRnJKRc6WPaurDlPrn6F4VdWwHXuksiSKXGk2mZV/jyzwgOgCwm8RxqKULNEdVQr73rVoo8vlOSUMkuxHtBZkXRXajMjkkJBe4BOsFmd0XYlP5pwQOZNicRzknbjRe4fzAyuR+YPPWuI40gf/b3yA/9c6xHsyCIcKkMpQDRkELkvqasJrb7zDjaMjTk6fcX72EisVZqppgycLwdHRIcvlJUlkkstIqTFZkm1NHzvQARXADQOLy3OePrnP6fkTutUlvuto9m8g1Zz7z5+SBERfylMxFxQUJD5+vuDjlxv2D+/StxeomFBaMoSylhEKNt2a1bo8yPth3BV8IOTCy96f7nOyeczDp+fcf1FeMFqWm61kwugGYo6AwDtHZRrGOKCVLpN1LZAig4cgPaRU2O5CkKNkyJmcEvsHNYurczSZW9deY0gt0ghMbWnXPZUxFItvQCkNukzlY4pl2hMT2laoXFrg3Rj45MET/vRb3+Xh0ycMYWAcPB998jn1pKGLY7G2esipx5lSzNxvGjbjGu8dIqtyCLSaoXelFKkKAahzHVZLTK6QlaV1HcYUf6fzHqtLCUsbxeGswifJXDas+o7p5IB1uyXEhJASdEV0GSkUi6slQme0KEXW1WbJjcNr/MYv3+NrX36NJ2dXvP+ZRMaMB3xIVAqUKGQYZOGxD8OIFhqlFX7oefniCSknXnvlHXIKnJw/QWrJpt/Quo6JrbCNRhmLy4HoC4ZU1BNM7Bmjw7mRKo5AibvszWpC29G5XDLfomjFU/JcLRakFBjjWMqUqogiMhDGnphyKRTlXKJQuioY1RRISaEmGlwm55EQQcsGcDjvEGSEUVRUdH2H2RF59vcO8S6wWK2AjPMj1triCvAJVODgYMbZhaMfHFJ0aF2TZeE7v/f0CUJrprMDhm5nGRSZcduSdvEgSWb0pXhbS0mOnpBjWZs7VygAgFTg+w6RMzEFYpLsT6Z88c4X2Awt908eM59N2LRrrCla9EQmuOFnh5ksiqo7AbaeEHwk+hG1+ztTSmMnNVH2uHZZRDZIpJZs2wU+lgubSImYA9kLVF1BUvTbBUmVSeFPLYIxelzYCba0AAVpTFSmwu0umz4WRvrF1Za1VBAzbfTM9wSbzQKEIMaIcx6lNG17Tl1JHl5d8F9+89uoELl793XiiydEN/L0fIGwE2w1Y+zb8hBWmqHf4qMHAU1jShE7ZbQUKGlL7EQokCVGNPpMrS3brkVX0xLRqWqsmbB3uM+t2T5JC4LIJNXgXERFwxgztjK4EFj9tHCPRKrSyXjt1Vf4xpd/iT/77nc4uzpn3a548lLg41h+nSsoVa8t2zDgvCtbGQpSMuXEZDJDycSm7amtIXkYgiMZjRaZbbcudKBdDySESG0tklK209qjhiJc2ptOuHk8483Xb/D6nbeYWcHZ6iXXNx3LC4/frBA5kmOJPLRpi64TKiRkFshKYa3FtT1mUvHK0YyxHwkoun6JkSBkxKfEcrNE5MR0UjOtFQc3X2O9XHN2+pzoHb2PjK4jZ3jj6IBbU8WjK1i0Xdk2IfA54mPA+w5rDFJqlCkbY7QgDw6ZBXYyox97cvIkMjrJQg1yHpTh1s1b+GHgcnGFVQIpEloGfC5bGT+0qFRY5FlKXAggMkpUdMsVf/BP/lOyHohxxUQmOlmiBSXmIhh9YLM5Z6+puNy21EZicyLXijRk5o0iasswAkkjpWRvtsfB3oz++ROGPCCVonVbfCidg7DjuBdYQAIFVltELnbVaDIlzRrxSbIdPP/TH32L8/UlOZTeGSIjpGDwHTGuMdaWQYG0oCRSKYLXeO/Q6yWDC0Q1QU8PqGYz9mrD3nTCalMzbDfkFMhCQYjk5NHWcOEVl2drkjZUdh8pN9TG0OUIQiOkwOrMnRs1x/tzllcjj1Zrhj7Rbi/BCWo9wzuKJdpaUI4kBBfnL7Byxhfe+jIPHn1I50ZiGhi2PdbXZFGilybLEokUkpAW/Ic/f5e/8Y03+X/80Wf88PEJvu8xsuSupSqZ96QNDtA6AIYQPcIIKt3QDyXe2KfEjYMZ/+A/+FucnK74f//W/whiQFWKVduybAVKW67WA9/99ITG7CElLFxPe+5YbXr8yjDEAcGWLCSVKFEtpQwphWJTVxmfwVhJJQRR72RwwpBIDKNH6I6D2SFfePVtLpZXPFmMKGNo6jld+xIEJdoVxtJHkhkhCgwklysX2/WGEDNaRBSJ2bQqQ+EwonJENj/tM2WyLKKwuzdvIzU8ePQEkSCObdlAaEFlG4IoW3I/+HKGJCKjYtY0WCvohxGUJvlMYy22bqgbC2JO123IvuTkG1mKy9t+Qxx6VGWxVnL98Cb9ek07jviQ0UqgMby666+82HbILDFSE6P7d3eI325XZBK2mkEcy0tegK0sOcN3v/cdRt8yDhuEKjnEyjb47Kik5pdff4sf3Y+cLJcYbZE60w0OoYbCvVWGqDNSjvyL7/42P/jom8QwMrRrfAosl2cM7RpFKnnjEMgSyJrp3j7b9QqjJDJnusUTgoC6nnK4v892fYmRmqt+4GzTsvEDTd1Q5QotJfiIlIpvfOXXef7ss1LOVJpsSgFNW4UwFUZUDONIzrJMsLOnuDIjkh27OUcqLchWkWPG50JqcZ0jUko+KUtIoUQWNKB29HShGDuPMTUxB0IIaA05FQkWovwzMYBCkX3g3r3XudpsWW9WvPfjH/P08WNSGLhaXCK1YBgHetcxme7xxq23cEPg7OohveuZVhP+8pff4scPHjPTthg+U8SkjDGT8utdx83rR/T9QEyw2a53ciGDDGVyF3Qky0iKGW0rVv2WfnQ004acFZv2iqmp6H2xb5INthbcvvUqpyfP6V3PvJlyMGu4WF7ycrnl977/gA+fnfPZoxPwAicCVTOHoSengZQzPmeMsogcqCcKQuLVGzd5fPqSejohh8S2bUv5T1ckV2ID3vcsuy2Xi8vC1Y/lErG4uuTG0Q0WIdC1A6bS5KzK1EEmJJIobWmJ5QBZEEmkHMoLSGYyGpX1bgXcY3QhGRjVkJNFJ4cLBd3opQJRoUIkuoBG41MpbapdQThqUQ7/MRHyslSNBoGpar7y1l1qXfOdDz5mtb4AXWO1JflIEok+CO4/eYRAYLXGKkOWJdueAkQEKmZIgqoSBJ9RqqYSsN62NNMZWRaRW/AjWUIMESkL57hcLgQ2W2JKoKFRNTG4ktUWCSUFoxvLQT0VHF8aE0o4Us6kHDHGIrJgNp2Sg8P7ATf2u8uzoJGajlCiWy6RcYTkSUqV6EuGlAMgkDljTV1M0j6R2sC144rp4ZTn59ty6BGBLDJ7kylj8IwulBdSBUlEki8saq9yIR0MHmssvSsSF2WmdN0WmUaE0MybIxA9zq+wRpd+i8xcM4Kb1/dZJM+1vSNW2zXbwXNtelgOkEGSogJK5MBahReS0UUqOyFFT0ww3z/CuintdlkEc1mgtdgV9QO+39A0FbPacv36MW+//Q6v3b5H113RKstZ/5Cz9ZpIYuzaYvcVpTMRYiGEIEuUKA7w4uUFm34gO4/cbfqevLhgcH0hfESBquD2rZs8exp58OQCqcs2UqMJEZxzaCN47d5dHj58WmI6MaGqCTk4oghoo4owrVbonNFVUwAAWWGqCdN5w0xPuDXd40uv3eArv/R1ppMDHj/8hCb8iOX5iqtNABHQShD7lji2hGiwiBLPEoDW1LbGaMFf/+o7nLcL/ugnz9iuW4yRZCEJMYHraaopb99+jddeP+Tv/Af/CX/wJ9/id37vt9luVrR9QNUNSsHNw5ovv3LMw4v7bPoV08mEG8dzHj0+LxdLJAezA0LODOOWFPNuYwnaFnxgzhkhCoLUVpqmnoDIuBg5nExYuQGkLM+BmOjHgZjBW4U2oMRkZ4Cdst5uccET01jy78sflQ20NXhVsTedsF5dIIhEKehHz4txwMgS47w+rfn3v3yXl5ueP/j0ecElJkFImYm1jHFktd2yWK0ZQ7HFpgwqF3OzjwXVGnIgxozYkax8ikVYt9PZa6ExkwMG3zOmkdOLc2Ia0aouokeViidTgrGFXGWkRCuNC4EkJEp5hIRRaM42F7z3kz9mfXHB+WbB47NTNu0SpKSpCqc7iLLFSqlcduLoqJVFCxjDFW4IJMYitxORlAwiKe4d7/O//5tfoO8l//n/+CE/ePiSJHPBZ44DWpTJbzXfZ3F+ysFsj/2jOWeLzzg96+hHX+hUORODZEwOpRVSSoL3bDZnjAGOZntQVVx1gcVqURDFMuPcgDGag/kRXz6a8OPnpyzXC2IlMVmhk2ZoR6K+xAOTvQlizKyXW/773/k9NtuObuipbMXgBrSe4YdxF8ltCCESaWlqy/NlS3aKRMSLgKLE6mLy5fOXEzk4pK1JeUAlhRAwMxPmh3ucXpwxxkIMU6JctmQy+Jz5Z9/+I0bXQnAEkVkv1/gQGV1i0tRIBNF7EhGBREiNUrbEF5NDWI1zkakQDN6VWJHViFDikD5EtFElfux6lptLpFQ01mKspplMkNmwGDtCDph6yuBaRMhIWUEMqCzouxEfPU09ZewHaquJObDcbDHOosRASoEUHNFotiFiK4uQokSao2dycMyXv/QG733/fVzv2NufoqUk4QlJsG57iJ5bx/u42DL8WxjG/4UP8TkljNRUWEaVyqFSZvw4Yg2su4uCR1SUL05yjBcBLaCqpiwDVLMZernG+R4TFUpmjCwCHUGZaHRekWJgvFgRhWC6t0/qO1CaSEJqicyB3hWutnAJt12XL58oBQIpMwlFiCPt2LEN5RDsxpFpYzFSl+mbCkUMkgRCK56c3Gc9LtmbzzmYT3l6eorPkb4NaBXpRUsikmWZFhBKOY4EttEkkRiHtCOvSKTMVEojBEwaSzsO3LvzGuvNmsfPHyK1gai4uDxBVTtzmBcg2DGVS4Yu+JI9V7o8OCVlZVObmu1qw2p9hTaWwbe8OFlhTYWSNTHtLLVK44eBYdjQDwGUQUhPSJGPnzwpyMt6RlNP0SISB8fdu/dYb9cIIVguNrgQmFQTtJIM3oEoiK8sMlIYvBuZT4qFtI+Z3o14EohAxtK5kbqx6AC+3yI1nJ49JcaAEiUbPu5snVHAex89ox1fwcU5OZ+RfKR368LpTblgIKUooh9pEUS8HHi+OC8H5HGEDIvxpKzFhUTJyOh7kk9ILNZIfHS4FPFkjkzm5w4k39lqjLQQA0LvDucp76Y+GmHg+t4NtsOG9fqKHANSKrSuaCZTwjBw487btKsztuvLUsz1gRAKJ18FzzA6qsYifGDwxZ2gTSnd+uwRwL2br3G2uEKahhCXRJUwlSXHgMiRy9Mr7rz6KrWSbIVGZoi9o7KWyfSIVb8h+bJZyTky+sLSSKlMzrWx5OjYtkuyKNEybQ3ODYUOaBquHd/k+bPPMUYipS5irGYKItBuW6yoyIxUVoEwDKNHawFSsh5HvvXpj0mxiK3X6xFpDBnIqmJqdJmG+1A45HLg+LDC6oanLy7J2WCtwsWAqg3RUaZ9rjy8Yy6WYK2qkssnF9mOkojkEXIkxEC/HkpePEm6cUm124yppsKvHbYydMNQCE9ZEqUiJU/0gaqpCstdKLQs+XipBUYIejeSc+JseFZePFpCjlhd86XXX+Pff7Xir//cXb75dMFv/egJl+uEBK7tzRm6FTEpgsj4WEzNwWeSclRVTQZiSkwnx9TNAUle4b0gZYEfQnFUpAgiM5tYhNfMdc294+v88td+np//xX+Pk9PHLIff5fzpC0Ja0rqiYo9SlG0xAdtUhHZgXu/Rh5HzxYIXFxfURpDRXKsaJtYyiEi/2Rkgs0eMPZ989jEqlQNw2BmUswCXC3NZhMzZywtu7N/mbP2S5BxjKpcHmRMKhTASkDhiMVYbg7QGtCQkS58avNxHmkP0ZI5splTTKcH3mNzRxJ5pUngJvZIFulDX5DiwciVDS9eTVESlmh8/Grl3XXLn2gTnMpFCjVFKohAgIi8uTvmFLx9glp/TLV8gKBoDkQpZypiGHz+85P0HZ2yHWPCXMXK1HtCiFO1zlLRD6YZEEo02dMExneyRdwc7ocu7oWA2YRg3kDMhjHzw8GNylmgBe/NrLDbnKKnQMwuhoDKd64o5uJrgUizfASmIPhOFwBhJGkdmkz26dkBkyn/ve3rvIBdctNVweHCNn793naPzJd+6f8Zl2yNiJgtBOwzlspMjKRYhmcgl6pVCGS6BRwgLKVPbElHJAFngXSmG26kh7qafE63pfRnEqayYTGagJevlVfn+xsJk11JS64YUxY5OZfA4rGpIOXH68imxb3kye0jnBNt+zWYsJ6Mbhzd5/vIFiR6lYW8+53S5LgfVnNFRIiiytRAEdaNISqC0ZNP1PLlq+cFnl9w5nnNwYDmYVKQwEtyIzxQzqdX06wVKZLphzfrZGqk08qedH60RO+RyiL6QnqRlzDC4gLWaXiR+58fP+Wffe8Ci7ZkdHtN1A+AZ/Mjl1Rnp6BYiufL97wMoya0br3F1dUo3tMQcWV5cIqVkSJHvf/QpMiVImm0/UNeGg9k+a7EsNClbekWzScXbNw748cNMbwQ5DqjoiSkgtCKGWGzTRiEzZfiIKj0yFNvBI1TPwdF1llfnOD/gwy6C2S8IqcNO9gvtCFAxUtcNxkVc8qSUEYiC+DRFhJiSLxeN/SndOrA/v0m/XdEPS2JXolhi1xX03uPGAWs01w5vgNxjtXiGjwOVMfRuZBwjRhlyiPQukqUmjJ5ZbZjv12y6MtxQspSxja2IvjzDRh/LRTiOiFwGsUIa7t55m7Oz54xjj0QUapcUrJcd3/r+91mvyoAgRE/XtSil+HS5QusGaxpWW8/g0r/5Cf5f5xAvlUIbQRBjmSCnWEgsOeFjRFalGKWFQdkdT34MSCWQleU7H/2Eo2u3MFWNawOynuB9jxCGxkz4pbu3+ecffYzPpWDmRYbo8UOPcyPXjo4x2nB59pyYinHQeV+gxWhSCb6Q8GQkxERlDf1mtWMri0KVQKBz4J07N9Eh8sHJBXI6IUV4+uyTArpSu7Jc3TD6yHx+RPCOlAMulJyVcwNKFA5yLS2HumIxtAiZUam8yGTSBVFJQGTNdLLPpw8+J0SPaRqstoRhLB9aX+xqzcGMMA4oJ4tYKSSksCAkSiqaWtF1PXdee4vzlyc8OXuOrGQpM8ZIoyuSjIxdWXdKa7BqTg4bhHAo5YljoBEal+HB6RWVUVwNIykJtLWMObK+OuOgsXTRE0Oi0RJkZjJriNsAsRSWQwqERMnLZcXx0RHPz85p5jPG3pGFQVPWlDFJYiq0kkgmDgOkjNKSbXfF4DU5Zdr1lhuv3+Fv/aWv8Qffe8CH9x+AKC/LFHIRZalYCBvBF2wfYKQtHgICe5MZfof8iyHh/Fgmx31mf/8aPo4EH8hKE8aBpq64Oal591jxp59tIOWCrhO6rHi1YGg3BClJOXC1iqVUqRQojRCZWTXhRlPzsN2yOj+jsqCUIISEqiwQWaxbhC6kpFlTEZSh7Tq0UIVEkRK11Vhbc//kKTeu3eWdd77ED97/NsfVlGg0B0dzHj36lAcvn/PR02ekDCkGhCw882Y642qzJIYea8plq3ehCIJQCBkJAXrvi6xUS7wPCBJtvy50C6tx3YLtS8/dvX1ebjcMQ4vSFYfTffpuAUlwfOsVzhfPGMJI9qHI11xp8Rtd0bsttlKInEjSsD+d0W3LgWK9XFFZvcO3CkbnODkbSzEqS1waGYdMo2p8ToSYqZTCWEnIEh0gCV9QmjIzqae89eYX2biB5BN2UnP/4ccMIdFutogsd/zxyBBHwqIQFVwsWxChbBGlIclj6aPEUIy+/egwdYUQHpE9rx7f5eHLkd4HrC4cc52LG+P20U3u7r1CYkUS8FfevcNJ73l6uWUMA49OnpZBhlJkHL/47hssFo7Pzy4glWJf2B2uhn5J21+RUyClIr4BSUwZlSURiHnC/myOASYKqsmcen6dSbtkT2emxlCZcrDrB8NsWpeMpws4F+izYDuMqOwQtSWHzHoI6EpzbVKR8sjL5QrV1CRKDlciyDnsrJQKqxWjF7jo0FqTcRBEGQQ0ugxRckbFgLIKETIpevqQsVKVSb7IqApqrVj1HlMbNsFw1ikeXC6Z3f+MZnLE8xdPedIuWYcRqUaE6uj7liF4pDIYnRn8iK0sYUi0fYexEETg+5/9GMktVPb4FEhOYJUguMyYBJUQXG6WfOeD5yxbwYcfPyzRwXof323wyWGtREjDchgJ3qNk2bwN7YCtCr1GKUPOfqfbKBsTYzKEErsahhapNfWsoRI1Mipu3bjDi5OnZDwxUzC1simYvKwJIZLXHmRiOjsguC3GSPoworTGymKCTmKEHAmueAmG1BFDQmrDerv+V89u78lZkETNs6sF/8Wfeyo7I4oa5y+w1YQpFdvtlqQqvBt23QkNPiKMLNFSAZWwCCWp0WzHgj6WGrwvh2QA54oYse+XmJ3ZMqZAjAEbHDkkDo8OaDct3udiVtaK1vUQI7WcMgxbpJYcvzLFA+vFiit/wfJyXbamMpaBg5oShCdZgcqWiGG1GWiUxpuSyw8pMKk0QpVooPeZkMD3I1ZrHr1Y8V/3Azdn+yzXIzFCUBZB4s7xdY739nhx+pJV6tBGMbM1Q0o4NyKAuiq9pyKOE2QJVs+5e/MOL0+fE6Whrhr6/oLzfsRYgYsj+FA2jLKcCRyJP/3sCdZWRCRCZBKRxWpBCBGpDCKBTKn4KKzByIretZBD2b54OL88o9YlA952A1IJzhdrNm1PO5YC808HVpPJnHrWsFms8G4sgsScqKYNVs4Q7YIIeELZ2vQD4af283qClIlhGEssMG+orKURNd57DIa6tsg+lQiO0mQU/TCQs2Q61egIoc/ECDp7mpnGB4XUolwulS1m+eTRlCHgarXENAWmEmKiwJUj870Dhn4oRlZZhIlGCY4Ob/JXfvUb/Oi9j/ns4UOS1DSThpxC6eqIRNISq8z/n7f/+tUsS/MzsWfZvffnjouIjIz0prxhV3eTbTndbHIMh4QgYIC5ETFzLwgjQNB/IGAgQNDcD6ARRhAEDCGAZkgOm6TUTbZjV7Wprqyq9CYiM/yxn9tmWV28X5WuNCqADcZNAoWsjIhzvrP3Wu/7+z0POhesMzRYUq6sL59SS6DUjFEK1zQCz6iRzVUg1kIpChUKWYMzoBpPjJFxmNhM4ur4y/j1sx/iayGUglEKUzRNY5mmQEWhS8JVSwqV5dkZUxoRu+dIzhO7rfA2z5/dx1rFfHHEfH7C1foRqVYud2v+9P7E2azDKMXDQT4Musi6tSrN+uLyMOGomAqt0fRFWKg5F0o1KCpeW2n8KtiPayGnVIXRGlU1R7MVb58q/jf/6TfQWP7r/+cf8HSb2e96aookDRlDdZLZb6xnNw54y+EWLcXTbIzQdjCYFPg7X36V986f8MePL6WwebQkFc12s2c1b/GzY/r9IPm4MGKLpfhKSiOaKjKsGCFVShQMprYe4x1hDJKjaxrJrutG1oXzBcM44kwlBTnEeGfZDgNWVWqVh/hs0bC92XKzGdmPI6vjE6z2mN2GPkz0IeKsZrbshIGu4Kj13Ds55f7zK5LKoCHvtuQikgk/a+h3A8ZqvKqo2QoLXF5eylo1Rm6d3IKaub6+pKrC2Pe0jSOnKDINJbixMRW00XTO0nYLyHA5Bj5/vsMbx4unpzy/OEd5QW8OQy/bjgq6aKzRpKhkW1MnmtmcqA1pmvDeQtGoosm10PoG7QyUQixBNh6HXsQn1xv+u+9t6LNksEspWBI1F9xsQVQTxMzML3FoxtoLj0jQMuzSDY2ppJiZ1BXH8zlvvH6LD764kOKp1cQxYXIml8TYdxQlK8RmviKlHcYaUIIBU7pwcfOY3Q+eMwx7rqY9VTkR80QjzGRl8Ep+RguWqjWX+z1KKbyfcXw8Z3V6i48/+gSjBHGYlca3TkpZSV7K3hVKybhGMY1BHvxVce/sDsujBQ8/ePdgYa48f/YAYwzawMOnn6JyxjctQwk4B42bYU0rrPoo02pjPTlHiJk7R0dc7vcsl0fUMhHGUQgcStE1nn0KaBSNkw5KUpo4VZHUUAkBChnnDaoxpJChFsYYWa3mlH3lZtjz6stv8OTJF6xv1qIhL4Hjs2P2u4Gmcwx9wDnLGBS+bck/kZKrQjXQuo5UQKnEfpoEHatg1hgut0+wRjH3C2azJZcXTzAe8qB5fPWMzXDDZ4sZf3G55q9/+8tsdgkVA2jB0VZdqdpRU+AvPn4oUblSJW+ZKq1pSERqTqSccE42J61fEKeekAvGWWbeyTRK9bRHc759VLn47If84RC42G54eP2MzdRjW43rrUzkjjqsthw1M548fcY0BSHwFBj6cMi6LnAmcZkd476n5MqyswxjRKVI0RIDarQj1kyggrHSU0mFohUWTaFwM6wpJeCslm1izBijhObUtCikaNs4g46GWBReOUKZSOzpxwsePy2Y/TMwx1zsR54+23K93zNWg++OScOOmIUstt7sSFky0K2T7kWt6qfvsB9/tpbDSlJoq/nV108hV37/8xuShs4Y3v/0EZ88ei59plQ4XnSwWPDk2UPW2x2NbSVzXwVXmaoYRMthwITSB2eJJqVKM5vRj3tSTfTDRK0Jn7WIzKxjs98QcqRqxZTkc1ZKBOtJ+w3dzKCDkE1iUcRRYqh9iVAzKhiiz8RUZXhQFVOIxAI5iJzLW0OjFPthQluLq4VUKt7PWE+BHzw5pzE7hiGhteWV27e43Kxh0IIOtZ5UA6pklFEYVclVDlTDsIekMVUJltRYUp5Qpsq2NP2kvC/ktSkVSAHtFNo5hrHHWUW/j0xTwFkrh6Cq0A6mVEiqyAUfw8VVTyWw6G6R+zWb6RyjPYmJzq/41je/w8JrwjSy2W+ZxonGe0qqtHPPbi/F5y+//jbPLp/z6Nkz0lSoBdl+p8QwOfrHO/q59IJUkc2vygCKk/kRF+4apoKzIm+kivnaFqh1YixgnAgevdF4FJtpoKQkMRvjmWKVOE+Vw+jm8hrbSQE5FDlMUqocBr1lCIXj1RG7fs2UMp2X7Hw9xC5NhbHfyrvcGpmoZzDGsg2DRIiLwipDUZp9TCiUMPpLYdauOF3dYdtfUVPGaosq4H3HUbuCaji6e5fzqyt2uzXKWJyFXLMACqaRxkIuikQiB8Wbr73M2WLO9z/8iKiqUJZqxZZK0YYXbp/y5PwpKWqGIchGk57OVPaXz9Bdh8GhbCGXQs2FZduyKwpbFCEXcq3kfg1aoFE5Ss9rmnbEVIS4lScxxTtDNSv+5AefcnF5TiZBKlBlKOm8YFgLin7Y4Y1hLEXQzDHJ27ZxDKlQqyVPiawtlUrVFqOTbLyVkstNlf5gjhKXrlqBkm3Yv7dDfFaSlrlz6xXKMPJ88xRVNKVKLkhn8NawWV+TapFCp1EsF2cM055xGiAXstLkqWcIe4wS/nmpmuth4Ffeus2d2Yx//MNHhJiIVdE2LTpPnJye8NLLb/DjH30Pb+XwsZq9wH66OlAAysHUJWifHJNoi5GHh2wss5Ta1JJhqixniuPFEU9uzjk7XfLssmLqxLydsbvZYrLCGwemEtNECoHOeaZ+R1RKclhaoazndz57xJB6cqgU7Vmv95wu7zC5icY17G6umNJEDBGrDLZq0jBSTcW0/jAJiMKUd5WjxYzNlCnBoNDUOpGLFinFcsXz50/QgG8hTAdk0pjIxUCxIjLKgRoqN5dPUGh2O9FCG9Pwwp3XuT/+kKo0bdOSQmLcD+QSqVTuXzzl88snZC0UhTw5VGOpIRNTIvY9zihc1RhZzZBjog+RkjPKWJZNByWy1vy0mOmtYj+MxKRwrfDDxYpreWG5QPuO6/Wex09u+P0//4Jht+b1l1/i+fUF3/nql/jk0WNKjsQpsZyvBN2VhZwy9w03ZWScetQho3l6+4T1zQZjQFdNLZGbqwusFRnTWCasd+SY6ZVinzPWWpRyKBLaNDQzT9csubq5oLGKX3nzGzzab/jk0ceUVHBey5p3SlxvehHuGPi510/5z3/1y/wf/8Ff8O6DZ4Lms0aMgLqw3opgqms8KU1Mwwi24tqOaZCpdq3yUhNig6bmwsXlY4wyUpqzmpoT3jpCkQd522moljhEhmEkXVySYxLhslZYv2LVgtaW5DTb3Q7tRIqkYuVkNWNxuiL0jma+5Mcff3SIeGV0NXgn5bUKEo1QijGM+LahKZphmqg2E6adHNBSErNmjGyLYbPdU4wgP5UpKKtptJcX5yiWRK0KOYxYYw4HQClC28ZDBTVlVDLkMlK0RamGxir+/J0fMoUJo2A/ic35aHnEYjbjydVTrq43hCnRzDylFIZ+wqjM6mTBq2enNNry0aM1ocDLd1/k/HrLzeaao9USXQu/8OXb/PKX7/EXX5zzBz9+xLTbEOIObSpdd4c8XgjCr1Z+/OyCd88L7zy44CZENtse2ziMUtRSaVpPUplxGlCHIrM1ijvdjDeOT/nhdsc07dA5k4LBmUwqAzEn7CGbe/flV7j/6WdMNXEdB56sr3l+uePy/ftc7mG7e8j1cM12fUUuYNBcXGyoOXHjGzrfolSFXJh1K+7cWnIzwHK25NMvPkEx8fXXXuGlWyf88Y/eYz8OlFw4mh2hrGI/7LG+ocQoG8hc8FqLiKuRdbxpWmxuJCddJHaTUkRrL5fgJPbgacrCvp41zDrPrPOoNHJ99ZBp/5S+W9KrBX2B/e6GYT/Q7ze4MEFS+FlDnCahIKXMrGmZqHg7x1vLbhDyxC5NEsmzMO5Hnl5abKvxSpFTYp8yzooYcJgmrIabmyuyka6EtS25RrxXmGKhKqYxU4ksmg5cg8Ix6ywpRqZamMYe13XEOFKnSNP4A/pWeiYZ2O96Ft7iAENDUIkp7sEYju2K/bCllkDGoPKI0gXvOkJIYAo1Fagy/FGlEHQWQVgWQyY5g7NCVcsZ5RzhEN9ZzOfsB6GXVSZ5X4wDm80eZ+cYlck5opXCKnuIlRlm1pHTiDGaXOT5YnQVmpWpeCtdpfboGG8MV9fPsUaoHehKzZWqKrZpibGXQ6MxaOMopRJrorOOZiYkm6Z1pFDJKZJTOMQlPTlbnNY0uqFxnl/82rd4/cW7fPH4IZvtHmUMQ+wFT7stsiWolfPtnhwM1jqUqaRYpFjvPd43QhxrVxQc1MjprOH6/DnPrx9xs3lOiYKUns1vs93vmVJPZy2u6xiDBpUoIR5ADJ7j1YJHzx/jtWLeGda7c0oB11j5p23AFmKaQBeckyNawlBGycprFLubG6YkhK2xKGatp4aMs0a8C7FKt6/Iv981nnGcUBIIlv5dSZjCQYoEpnGYWsgpsLm+Ysh7jLXEDDmPzNSMX//yL5N95cefvEeY9odDaJXek1L4dkbrLf12KyZTo1jMF1yeX3NxdY2y0l9qzBHLW7eYpi03uzUPHz/CWIfXMBVBYZecoChePlvw1be/zEfnWx49eULREypnISAiW2ix7VqUNpQoHaZ9CtjWU7PQcEIc0VVjjcNYxZPzjylG4Wpltjph2PfEOGJ1y63jVxhLYrO7gGknxe00ybPSePowQIq4RlOjZeasEKSUYQyRVBK2FpFqdV5cDVXTzDvClNDKSgyt/ruf4n/mQzxUtG7Z7K4oSR4KRVe86ZhShhxwxoCasL4hDJGSkeiL0iLL0CJ5iSVJUaJoqkrkmnFty48eD2SuybpSrWJhJB6TyfT7HVcXT3GmoZbpYK8EXQzaiaHOOS9fwBQZpgFtBXWUkqwnjdHsc+Ldi2v+23/+F5ha+fyq5+3TBb/55Zf5v/7h+1zuRX5RlGFWPS+dHPP4+pqp5ANqL8mDSilMLqQoUZ376y1THGmdQSGZrovdUyyKy82exrY/NTe2RqEcciBq56RhIJeJ1lkoQmHZTwlVHadnZzx/9ohCxWXFrOkY+i2+7ShpokaFNo7OVXJMDNMOax1VaUHy5UIpEW1ECDXuN2zWzyEXUVobpHihRDKitajBq7WMU2Ax9wxThKjBQOsamrZDqcrPv3qHp/s9Hz95RhkSVRWsKWRlKLXw8Pwx2hts68gVQgqMe1EZGw/oTNaOrmlQpfLZxQ1KbbCAGuDdTz4WNn4UGtAQJlQ1RBRoQ4gBjBRHAeFCH/T2EWiM4+r5OSFP1KLlM2zk0BtDlvytslQSVkvW31qH8g5fNTlocoj0JTL2I0ZXutZxvnvOJ48eipRCGfTBDGpmDeM4kGPCFMWff/IMa+Fm22OtJ+WAUg7n5fKraqWmhGpahjCIrTdmJkas8ZJxP9BDYsr4Vlae3s3QpYIxQsvQFV3EPgiJaYromlG6st8NuEleIpVKUYa5Svy9X3qb3//gKe98cYk1DTEfpuFatlZhnwRrlrZSAjrIypSzjGkSjNbhZ9sYjXOOFCIoMfalLEhFYxT2kDNNSRHLhPczZr5jP91gkDiN0vJ6KargdUstGqUC9YDQM0qja5GHpTUMKpIq5LFQY6LoiJkt5XscFVolFjPPfg/b/Yah79G5MpUB4wyKImXsWvnG22/yc998m9vseeN2y3/zD77HzTbz8MkjQhRPQlAZgyJNlW/eW3J03PH9D5+h5hJzGEvCtad08z37fkedKkV5aq48uNiII8FDM3f0V3uoheVqxnoT6GpHLAGw3Do7IoWRJ9sNrWkpdk5MoKwmlkJB5GclZgZGPrv/MaZpiCXw7OqCf/nuRGOP2NVr+pyoYcs4DpRUsKoh18RyNiPnyqbfMYQR1XhsgbunC/7q117in37vQ55e3tA2hnHa0ljNy3fv0nz0CXovkZ6YErYqcq4wBSzy2Wm8p9FygR5TwimPpcE2hZxG9mOm1EzrHNY2xJpRSsnh0LVQR1IZGKdEuZ5YLFakIIe+T+slo1ugtWPKge1uzW0V+Y+/8iL/8J0veNLfkLPGqsqLZyuGCDmOLFsPyjLkPfUgDTPWMYYRZTSfXk5EXfFtw5dvz3i23nM1JsiR1eyYfuwJZU/M8g6oFEEThwIUeYbkjG0UXefJg/xv/RSoVuO7hjzs5JJe1WHbWCg1o0ko43DFEAr0STNrjtiHHq0yXhkKhtPFjJ//0pf4i3fe5SpsBYtnLU4LKcs2C5w3TONE55as+0sqCC50iiRjAcVu2OOs52h5ysX1Bc63KApxlOlwNV7kqRjW/SAdpTRRDj/HqiJfB2fouhVt43n2bCfIYxTKNiiVUXFCKc0UAmTNaAa0l3dHmkTs95PsuHcNR8sjLi4TkQC14HQm1QwxMqSCMZbV6pgYB0oeaIylmXXYcvhZ0FmKozSUac9v/+5vc/fFO1zurglxQldFoxxnZ0uerjcoYzg6ukPoB7R2oCT+pFRGYym60o8DRlne/sbXef70Ob/0tddYrZb8P/7BP2TaBTZjj1Ee72G9O0fnTDWKXCb63UjWUowsGKybkeLEZb+mlkw0nkEAZ1hniLkwmy3R2RCmHZVCmgLGe3JRqJKF3mUdrp0zTT2t8+JLMRrbNIQwUEuhbY4pJpMxMiTNkbEEioFGd2J51/KzG+KAouKspWaplkYihV6M3MailGFME/tp5Pd++HscndxivV9jvcE3jmlMQBbx5sEQLFl3gzWGqj37aUvc7iU6aQzYLalm+mEj8aBiUBGqrbRO4tE1G0zn8cbSX13y9MkVqnpqkWRCKrKlLEqRq2Kc5LOjtSbnLBdE12GMoQ89ynpyHCgkdG3RaTrIFjXH8zlmJpHAHAvaZLZXT0g5Ymo9xBkVOSsWc8dJu+J6s8VYKCXQtafsNjuClssrWaFwQozSjhzFQCwRGgMZAWXw786JV7X+bFeBo5Mj0gRoyTKSK75tD98AJT8oWEqdZDWdZeWRjcIpi/TmJuE+UzAaUpKcq3WaW7df5Rtf+RZ/9L1/wRgmjDIiyzGWUhJdu6SZLblZX6DFLIH3M05Xt7jYnYMyvHbnTR588SEhD4whYavGeJl6zbVlqAVrG164dcpmu2bXy5rkdNHw5smcL7aFJzc7wmENuzq9RQhrtps9pXKQZMhNvWY5uMmlpEq0xjbonAlVsoZtN8MmRVDxkD/kUHrNNM5StFzEjLKH/KRhsfQM/cSs69huBsYobGPfymT1ZLmguIYpKTpfOW0dKY1cbfbspkrOsm5qnDuIjoSNaq2lzhrKbhDrbDPDOccUB3I+GAQbR5qEz220wpaCdjOmEik/mbADR6slKRdePjrmatwwTAVljKCiUjyg8DSliNKkxEzXzslk4jRRCjQzy7xbcnV9ydHRLaiFYehJJcoPgFK88MIrnKw8Dz9/TCxRUJCpYDWkUpg3M8lpaskx85MNkANjZ+SUqTmi+QlNoRBzZNZ4KoYpRqyzcpBGk9F4Z8iqHDjxkLMYDuMUCSmQS6b1hlo0ESiKn8YDsIYaIqpWlJHfT6MwuuX20T2u1o+JaUApeOnkmJdPFvz42SXbPpBjPODTEtpasc1V+fzP2xkpJlCRIQQUlsYtuPXCq3x+/z20rlImLAqrFaVaiX34lu1+I5crJ9MAhWbRav7OL7zBn7z/kKtouLzeoJ2WvkEpNN0Rq+UJV+ePcI06TEmFppQTCPs0C9lHwaKbM47yYg4hcPfeCyQqN1drrILjecPVekOumlQyvu0w2pKmPUZbuSBrRUkVVbNcpGzHC7fuMAxrLm8u5RKjFI1zZOTnMCM21YzGGIezDblAqRPaVIyW8lbBUXOkNVpeiFa2EDlXdIaThaM7XrDUcDbr+IuHT9hNciEtyQnRQFtqCszmhv/yt/4KV8PEP/+z+1zverRvYZoIsdIYiScpXehDxqDROmONA13JRVFToRAoyuOVuB7GXp551QiNSky7hqO243qzIylDTIHF8R1KP5HDKP8uVahYFHStdIsls5K5plKmyrJ1zNoVT26eUnLBm8y88XRqzkW/J6TArG3phx7rFcZaplqYmzmzdsHjpw+Yec+sa+lTYpoEi1kxUpyzBoXFaWiajhyFTFRUwRrH2AeoGmMrxihund4WvOF+BwW01VIAbD15LKA0Z2e3mEJgmkYW8xXaaWy1LF3DJhnmXcd+2DFMW3SY8L4yEhnGnjApWl9FFFQU0yA4N6WRrWPryFOiVks1nhz3lBoFaVoTZ10DKXMVE143HM2WnG9u0LVQUsQCQxGviGvFzJxCwnpLYy3zRcd2N9LvdjhjsU1L1Q5H/unXzriGMAaMlwK4Uy2qyvM1lkpJBaMNrx01rI7mvPN0wwvLU37+rdf40cefcv/mglrz4R1k8EZRjEUrR4o9lIZQI40RWhPWkJSi5iy9NTSucYzjgPMtpiaysqSSUEWADClzoJBV2qZhHAPJSHdFVdBJ+kJt0zGUiVyy5L+NDI6sMgcQhSKj5H/THtcovG2Yhj2lKk6WJ5wdn/HoyUN2ozz/m8ZytDphN0wM2xuMa2kbh66K7bjDaI+vmrZruHf2IqYUtrunXIbEmEeJpZgG5wwlSGSy1EKrDCerlv0U2fZCxHnjpVs8ubzk+qanmoIzjq+//CYffvEZxycndF3LVCu7fuBv/cavc7aY809+999wc/WUru3YbeT7DAatMmOpaGUJMbBazthsN5wev8Krr32H9977XYb9NUobullDTlCKwllDKoHGtaScUSkypYg2gjDshx6NnDeUb8mTxOw6bzBKs50Cx0dn3Dqa89mjR1RVESN9ETJQla1nKpnF/IS5b7i8fCI2dSM/8w4lHTFlqDnI105pVDFULfQ+jUSZqzXEWKgIsz2nggJQmrabS6wmZ07nM7abLVlpnLOEIELCSEI7iyqOosW9krLgi6sqzLwGY6nJUIvw2pWqBC2I6pQTXmuccoRasFozxYSumaoOsVDrWLVLdqNEBcmJquyBKOSZxsjxYsYQR6aY+eqXv824W3P/8QORm6kDFdBobFEYP0M3mnG/B6U4nh+x2+8OcIWAaVp8Lnzz7TcY0sRnnz8TCZg1TEmimFYb0IpSDY137Ict8f9PLv5nOZ7/7Jz4SViwOUu+zs08WnnCMJFJNH4GJdP4E6Y4oXPCN0f00w60TOBa7/Gt5Td/5Tv88L1P+PzhOVopaq1cXTziT8c1YFjNV+x3w2E9UQgxE+gPf46eedMK3hBNv9uwao/oY+LzLz4mx0A20PhGaAJVVhdDjGSnmBnNxdW5sEiLojjNOmT+9LGYtaY0UI2RrH9N1GqwtkUpS79fY7FCe6k9vpnR73tZe1mDrknWS1X44HEcRXbUiD2tsRCyQXuLb5bs9zuMUzStoyRF06ywxnAVnhDCRqJA1gpKU46ihGr45V/8NudPLzk1e/6TX/sGl+s9//zfvsf98x39fkBnLfnaA9/cOY82hbgfpZCsDSEXqkr4pmEaRpmiTPL7HDZkVBQxJdqmZcjpgBVMTFlKko82WxKBuZmxm0ZQBqULOSVUscRSUYc/u/WOsJMMmLUajeFmfY3RlTTtuXf7RT7ZrLG+wToDIXB1/YT1VlMQNwFJcv4xFqx1xBLBWmzVzOcrNv0aUsbQ0s5XxHHP5qbHGIT4kQKqalKpkoGrch51zlLQ5JCIKcuqmApZysXGOFKSCxLeMqVCUQWVKkrJdA4quhaRgVVNiAnjDMfNglnr6cuGrApKGYyGr7+04D/7pbf5P//znjAForWkZHCm4ruOMfYsZjNCzKw3W8GwKqGR1DoRiuLi/BEoWSvOm4aSK6GAcQ5DJWkxppLkAZerwtTMPlT+xz/7jHGKtPM5BVBZ5gKpZlATu/4C5cWMaLyWvoaRzB9osAaKRhvFlMuhTDRivePF23d4dn1Bnnoyihsl26WKwilNrSMxVWrOGK1pmg5dwLaOVCClHcuZY7e+ovWidHfeoKtjrKK3PT4+5ebqGaoalrOW7dSTJin31pqxRZEKGNugFVjref3OgrtnJ/z4wRMu1wMUSzWZ61BYX2nOdeLh+USoCm0NU8w0VqOL43h5izxu2cYt/+/vP+B00WBLpG01YYhoGlof8U3Dm2/c45UX7/Dbv/PHEnEwilwTRBlyagUL57Hasp0EvfjC2Yz18BOJm+f2vTdYXz9nn7YoV6ixYlGEzYZYJhSZRjd468gWQjHEseeoFuEfG/Al8uWzU4Zc2c8coZfi2/Wu5zxuscZhDcxaSz8Iw3scRpxXDCqSyxbbesZUyaOU+lWRl4r2Fq0TqSQMFqxj0/eCa9PqwP3PtN6SKKRUaJXnr33tKzx49ox3v9gTxkRXDa1ryEXjnOZoccQQo9zHVaUfdyxti6KyKxJ36F1kszkHo5h7Rz/2FKcwvsMhEYOYNapknPeirC8iDEv7wmzWsWiPyLVws9nTmZZSC6VAH6CfembdkhATlzcXgvU0Ft+2lDCx0EJoq1WkcM5VFsuGOEpkKqtK0zbEnMlhovWGcRyxVmGUIeeEtRpjYUyVqgNGCcq4hITpLE2xnC46bs9bfsQVKQUWfs4LJys+31wJpUw7tE4H0pphu1njjSObTNc4wjChvWzDaslYVfCNY6yKorKQe5QlFSUTwZpAWWKSg5CxAisIWXpQqmZyPmwRtRQdhzgRasE3HqPFc6CsQxeNRpHSRK0R7xzjtGcKhlkrf75N39M5R86J7STSxKI0IUTGPlFLRhvDbGbpupbNZodTSNdheczSttwymZ9/tWPWvMFvf/ic984lWlrGgTJqXl8u+XhYQ3ZsU8+oAjVkchH60xeXFwzDiNUZnCNPkYfPnzBfLZlSYnt+yZQCmcq//aM/5Dd+46/TtY5ptuKluy/yyfgxb56dQeP4/GpPuL7CmgllFcM4YLVlHJ/xwQe/g9ZSdPZWkUPGNjOmGA7Un8w2blAVWt9hvAAZUkxYo7l3dnZAFE5ok8B6dK70MeCswWjF2eqUBw8fkdFoY/EqYpx8PUttsLYlTBPrm3M0itP5HOUdfd/jlAdzePFrT2M1Xzk74vN1oq+jnGeq4L1rUKRSZINmPKZmvHPUkjieWfoRqmqwzYxqB1rTMoSeVCulSG9FZ4mK1iTJhnLwqDSNJafCNPXy33YNukaqbsjDCLowaxecLBdcX27RHrF3a0MOGe8MAUVMhev9lqqFAKUOtJ1YK7NuRgxbTo7vEK6fo3PPB5/+mCPX8trJivvn19i2I04jzgiMw5pDFr9mqIab9VZ6K1lcJWkKKOf40aefUowmZVBGScTLdeSU8Y30gaYUBXWa/nLoNPpn/RetasQM5zwFePmlL/HKm1/HeY8ylrZpUSWzn3rhCTtNrlIcO1qcYIyjaWaU6thuAiFkas2iFS5QUqYft4QY2Q97CgmnfnLbk2/yNOxpXUfOSrCAMbCPgdde/Ta6FIZpQ1FFmLQ5U2uimc2pVoEHSibUSbiiWpi2YZoIB/xfihlrWrE1lsSjx09YX10x9DvGYfvTF0sqwvgdxx44lH2zIqTEWAOzzrNaeG6frGhnS0IWvXLM4JuO1rWMsef0xdvYxjGGnlAyN7trttfXtNqj6Miqimwpa5QyOGeZ4sSf/9kPuL685uXbR/yHf/2b/O3f+jlefuE2VslKUytP0QbftOgi5arKIS9pRGevjQKnaBYd7azDuIM+OlXmrsUoLeQwqtAodMU7AxhCnBjHkZBHSipsejHtNUbiPsY2Ij8pBZ0z3XwmKzst0RfrFTWL2a3xLSFMPLt4hqJwdHQmCnIlVrZpmIhhpExB3jFKfjhEXKVQeBo1Iw4jJhkpHGvNuNuw326pVPnhixnJX0BWBhIoKjElxiCFnq51lFyoKUNOhJgIObPZbylapoSmWMhC18hVJqvGaoyTqW8t0LYzWt+y9C2/+tW3+bs/9xVmDu6+/Dam9VRreO/ZwP/wRx9zvh7ISh8iJVCtxIZ0tez2AylFjJMMqnCXlZiDKWy3lzJVtgdxRElUDhzbNBHDFmsLRRlSPvDh7UFJvxvRumHY7dHVsFyeULVFa9kg5Jzl+6+MeB2MxmiNwWAoeGdxraPUDBRcI7nLxjve++BDnjx+JhdDLVObnAolZ6acZF2ZDRqP6zyroyP6aUtIA+OwQVfFZnMNZcI4zb1b9zjrjilK8KpVabZDL6t71zDVyFE3Y944bs9all2HcY7Gtyxmpyzmpyzmjr/3t36R/+p/+ct8494ZzjqMExPzNAWmqWccR/Zlj7UG6z0Oi1YNjXbsds+52d3gWbCPlU0/8FvffJ1b2lNCRNdKjJlaC94Y3v/gETrLgV1nRY1SwjfIYfFXXr3F//o3vs5cF1qX+fkv35Uyb+O5++Jdhs05KYpJcpoUaKFb/IT0UVCMMZGohDAw7da4qlh6x+lshgqJ1hvuWs1md8U0TAQGUlE402IbTyZRquHp1TWx5MPBTbaM47gTfGpNlDwxjTtUzXRdh7VyAXHOY5QjEZlSj6oarTSLozkc0I1aaZbzI45WK5LW/M6ffZ8P7j+hBkWjDErDz927xZdP5weSU2KIgSnvqCoyjCOqavbDnsubNUUXYtyhS6JSePHObY5XZxAKTTLUXEghEkJPzBM1V7RvMLahc47WalIY2O4u2PdbvLHELD0fp7yYhKsnTyMlRZFcOUMKQab6xgiRJRdKku1hzJUYDc1swRQLYQzkcKBulIRKE9XAmy++zdde/xK2tdw7WvHrX/s2J508G+UzmNBFUWom2cq71yPffboFYDPc8M/f+WO+//ln4pKwBi1wNG4tO9oC3s144aW3KaVi8WgsNQE544vm5996mf/tf/4bHM86chScbBF2Dk1K+CyXeaONcLiVQ2uZBi4WK47nC4w9DDwqVAtJZTRKJp1JHAtTkD6aVxZtG0CgAlVVEZtNgZIFkHF185xHTx9gD5Pe1jdobRjGQWRy3jPGyLObS6ZxFFO0bVjMl+QSuHtc+S/+5lf4e7/1Tb71woquyDZRGUW3POLJOFCqItdM03lBC/sWZzU4TR/lUKaNJ4eKtYarcUNzNMe1LbFEZjONs5ntdsvT8+fsrm4Y1js++vgzYq482u35hV/6NX7jV36do8VKMtoxA4YYhZ6Wwx6tNGfHZyyObqO9xDxmTszVOdVDdy8zhUDMkcZ1rJa3qarSnhzxystnuFro/BGNbwXPagzOOjb7a7774+8TObzvtSJZS65KSqnWSOS5Ro4body9cecOX3nxHro6zGFzXJTCWcvRzPJf/PrXeeW0o503fP1L36SxHRgRv1kSVpUDTWuiFnj7lS+RJs1unBhzzzhNpBKwHqyzGKOIUbauzjW03ZymmZFSFcKLFV68M4amnUsEd+qpVTNzDcfLM2q25Ji5uL4h1ErNhVIVNRcabag4nPcY73GuofGOkqOMnuTLy83VJVPc8+H999ntrpn7hpISsQwYa2lmjlgSXstmPKnCOA6MvRClFkdHQq0rmuPFbWZNR6MsTosMr6IxtpDyyDj0grBVIqOKVdG1C0jqQFb8d//1M0/i502D8/qnf6Dnz55gafhrX/ll3rn/Z+ymPcYrXFGArOaxEyVV1vsrTK2UGBnCyPf+9M+lFe8M2QkNg6LwpgNdKEHytt6LkKadtWKBqwXfdJQ4MCVNJGJU4cMP/4R9vyNXRUW42CVnVBF7p1EKtJfJAmLoyiEeMHiWYjRMYiGTSapCact85hn3W4xR5JLESIiUm35y2KlaGuGz+YqVNcSccbM5Z6cLjlctf/HOh+Q8ye+DIecJiuSO425HLRmypjOKmzyRDpNakDjSTzTDYagobUg5MvaSpfzo+ZZ/9ofvc7W/4Yvnl9QQcEozlMDRcsXMNgxosnaMIVFVkBu6O2LWdlzfPGGX4k8PGForbCNSm1rk76mQw8DBrCUN/wreG0BxtFjRTwPHneXbr77Me0+f8egiY4zFaMuYJ866BW+/8RbvvP8jpt2arl0Ra4SUabolcbomlIKfzbi4eCymw1ppG0OJBao8qKY04vycxjaMw4ZcI8vjF3ABrrdPUVZDqYzjDmscrla8a8C1QCIczLpaVRKV1XJOPww4PaeUhFaCfjTayCpNaxQKrZA4RttChOyEWZ4PKvcwTRitaL0/ZO094zgypMwffPgxR03Ds82O4yr5U+s0scAH1xOvf+kt3v3gY+JuxFgL2qNqYeYblK2sN1vKYbqYUVAUVcnv6yykLLzt7dRTsqz1S5wkchIrTdNi9EQqhVDkwdE0LdaYg3FW/tm2M4Zxf5gEVyoB11pSlSniTzZmKHkhnB7PMGNmcTQnmCWb2HO5ucLWRIpCHvJtJ1nNKVKKIEK1NYc8PSQgbwfGIUAqpHEQAe+UyFpz3fdsx57XXn6bo9Uxw+MHTFNPCSNKeRbLOaUo4rilVEMqkYvdVnKpWbwLw37AVc+i83zyZIPX0DWKgtATnG+pMR6KdBByJscR03VYNCHsWLWe24sTrobI6e17PLt+yqOLay53I+t+BKOJdQQN/TDyFz/6AD9bkqqibRpqDGhTKUqhaagpsJsSuWTms4abUPnXf/E5VWfGoLlzdkIadgQN+yDTeZ3FRljrRD1cokqSg1ieCt4IUedi24t0Ze4JyvEv7j8jpZ7XVx3zdsbTqfLCi3f4/MFz9mVLBlrbYbxht92AqeIs0IWqoISEN55UoyAMq5g4Sw6HuJqGqkg50Xox14Z+gAzWtwxTJpedXC6VYR+HwyRX0RiH14VXjxyT0jzZ9WzHHSVFjJMCuPGWy/VGiEG1odTC9voSY+SA+u5nnx4AfpFZtyD3A4XCYrlkvdlidMGXijOOl168x3y+4Efv/oikJwqJRTcjkjHFMpvP6Kc9pnGkKMSj1neEKaC1whl1KKUrOucJSWRmtWRynuj7SOs9Ri3opzXOWI5ObrO+OSfrzMPrL1BVMY2JR7sN2/Apu2mgaCXRtFJZLI4Y40QOO7z1jAkwipQVYRpRNQrffZzQWlGt49l2JEQpDavpiqPGcDNsRSlfzUE9VXjw8IJ/tB4Yc5EiapTvsXadiJRKpaosONhUpcdWKobIl+6c8sqdU/7wxx9xc7OhGnsoLkOJYj8W8ozCOodiok87YimAPGdUTBgLZM16GnC6sAkSG2mNhypOlFxA+UBOCVc9KWSapiEQoShSyhht+fX/4FfYf36fH3zyiNuLJX3OqMahopLncgpMVQr4qQZmppV89xAoRvpITkkvwxgLNRBLotbK5uIGpSs5DQyD42R1zGo24/vf/XP2w4BrPYtVy36/J+TMD370PjEGYt5TlZJoUay47ohx2uC8JRfFS7fv8PDpJWkaSEne9SVVuvns8H5qBANsDGOK5P4SpzVPv7jiaubBybAmUwhBkMSuHBCHGRrXsJzNqLUwhMA0HqSFKZBK4evzGb/+5pf43fXEF+ePGaaEqpU+RmopvP36a5x0Mz58/AX/p3/559z0E7OTU5aLlpnVlGTJpmCVRqwXEpVBZ9abG8bSH7oZkX63E5v8OFJywriGuZ8dhndLNjfPSHmi1IKzFpxDqcowVmzjcSZTSyWkSu53rKzn7dMlN2PkOk4yFNEGdMU5Sx8kaeC7IzoqJ8fHmMby5PETpmFPiDJwMqbBtR05jpQY2YziBNnWTIzXaOvJYcuAonENKfTMF2eMaYtRHophNm8JMXFy901yvObzLz5EYfjW177Dp48/ZxzXtG2LrjBF2V+rLF2sxeouXRp5+uxT/jLwND+7sXXcgZWbj9GGadgQleHd+z9ms99QSpQcVRaCRtGVGjVYYcaTFZvdltm8JZeKcy3DNJF/QsxwjhwHrNX4pkEZzzj2kgXWWW5UBaZpR4oB1ziUa4khEsIFWnucU6Qs/O6SMrbKn9U3c+IUAMHU1VJJqtK2Hfdee5PN5RXX03PJo2krhc8yUjEoK1ZOtMYbA1kRE6ScaBqLsZAr9FOgpSNME1VpPv98xzMnH2ZLQ5gEKUU8vMyVJQwjzguKa8RhTAPWoqaAt5asCnKiF+xOSglrfmJy03z8Wc///fp7ZJVI+0RMkYyh6+aUMLFPcmUZQk8JoJTEIbbDGpN2WKXJUV48UPHeMMYgpZBaZJXZtGglWWo5yCmUyZyc3iWXxAvHZ6waz+l8weMnX7Db9RSViCmBh6ZrsEbzw3d/xDBuubNc8s1vvc0P3ntACIHF8S36/Z7GtPTjHlULrfdkKmOK0hfQ0MceaxpSDMQwoLVG4bh4/hhdC84YEVspURxPMWMVtNpimjlT3AlGy4hDoPWOo25BGEdyHkXYUiRjrJQ++AIMCkVJgWpgGgaoimwU3bxBTwl0h3WKsZ+YQqTkws12LYIpo7jsd9zsdsQUSTEIJq3CqnHMasvNZk8OGVVlIlgQokOJsl7vmjk5F6YSWPglX33ja/zwsx+QwsSUC0orstEoLNYrvDOMcaQYR9s1ECK1GLrFEqcTR/MFF1drtDY/VYA31nH71i0223PSQQBjlKZEKShymKjbg7odZbjZRu62Dd95+0u89tZ3+Eff/ddcXl+QtRIjrTFMMTGE8eAIEOpELZXV0THDECghUmumMw1RBWIqeKPBGym30VEIfHT/I4w3lKIwVaNMIuXIMGxIQS63OQWs9oyICKvznhAi3hlKTWz6xP/0xz/i33Qtm31PDkHsu0lKzXdOVmyGcCBIJawSk+fcaF45WfIf/ZVXeOfJDY+3V+yvLlCN4eHNHlc1OWmaTrN0DaVWNmGgDGtyzYwDgKJqEREVFFUZvn++5gfPNmA0TmtCgWGMdC1cnV9ydXVDn7Kklko5RAss2lryJJtKtGG/36GLFqlQEYdEIGFL4fTWMaYkgjL83W+8wu1uxt+/f8HZ8RE//OBziUjpijOGcZ8OJupCpaBLpRqDtZYX7r3Mwy++INcCyh+eo4JrVPx/t0jkjFGaMUgOPoeItU62o8ZQiqbRmkU752LcEHOkVs8/fv8xMckzPoQgkpSQKMil2ltDzYlMLzzrWMgqUHKljFK4V6pSdjc4rWhnpzR+xqgnyQcX6BZLii7cvXXMR75hqgVTK8MwMutacgJlNGOMzIzDeEtnrcAXsiLUQK2VVEFpw5AiqhpeOD7iydWGmqXEOW8XvHj7ZR6ej/ja8eq9N/kkrJlCIRc4PT6iH57TWE3TtIQSGMaJimxZYtjhfcsYFEPOlP0OoyoxQTNr6NyMPhbSFOka6UYN4yDiKGN4dnNFTplWe4wVY7p1mt1uZB8j5/1IRnPr+GV2wxW3zl7m/Pxz6fZgoGbZlDnZuOpSMFpzeznnr771Fl88vuZqu8FYRRgDtRqUkoHBop2xOlrx9OKCtmmISkEq5Gk69DG8xHKNwxoLJLHCpsg+JbRSlCxiIZSiFA6m58zU95imISi5eNz0Wz76/Bn9Rc//5Q/XLLs57z6+ZMgZlQqhZooasIceWmMMd0/eXAgMXwABAABJREFU4I0XX+X33vkDOQOkiVgnUoncurWg3yb6sVK1Yb29QStF5xtA0fcTwzAK28VUSjX83Ft/jR8/eI8wXPHuB+9QC+SsICucqtQaSUNAK0WYCtSB9z69DymRNdRSwBgxGXN4vimYpkDjWwwHMVSMJN2jFYQcKZM4PbwB11p0FamQa4z0opo5rvHsnj2iM56YR5TT2Gh4NCW+WC74D7/zc/z9f/I/EYIl2Sh5dG35/PEz7lOYxoHLIp+DuN7yR3/yp6QcaFyHUZmpJKz33JqfMvUDQ+4531yLu0LJoTqnitIO1zoBE3jHfr2mlPbgmBGUuLKGUis1JxpvBWldE7dWtzhfX+EPcbZoNLdOZ0zrwOWl5OdvNbeZmolxDMzmJ6R+j60V13jGMIjgb5joOum1yWA0YRsRMw79nuXJLba7cxrt2Q8iXFMorPUQE40zxGkvQ7syYQ7Rn5gCDx9/yNw3YJRALDYSfQNNzUas0aZSi0IhxKy2sVz3exmI/CX8+pmLrYvZHGXkB+LIH1GKTBpLhFm3ojny3Dx/KkZIFM5oWjMnqZEQCzEkKQkc1sIaxTiM+HaGUhLur7GSa5YDg28J0yiM5NaicHgjkYiiNPOmZTuKJrfGJCWb1pJykcyhMbLCB4z1NG3DYnbM0K/pxw21wt3TW3zja99gt93z8P4DtmPPkCOhZnSOMh1BDjLaeea+Y725pmgHMYC2h6af3FNmy45hnOj0TEqeteB8JRWZVoUYD1g+RTc/JYaBWgI1V5arE164e4ub7cjlxXNBkIWBkOUDRY3SRTAW7axsDMiUXEVGoBR9GChFcbw446vf/nVOjpb80b/9Z2yub1BGk1WgFisln24hXPwaMMpxdNRyenTMR5/eP5RHNVMuLJojWi9CnGHsyYcH763TO/yt3/hNfvMXf4WzoxMePb3kn/6rf8If/+CP2YeJqopk2oyWh2oILGcdd05PeO312/zJOx8xDpFufhtDYLO5odREBU5Wt+gnmRKSCkoVrHN85avf5NNP3udmu6V1TmIfsWKNp22E7pBixNXKVGXya9tOMJC6Mk2idm60YTGb82tvfZXrsOMHnz1gHwKtn+F1ZT/2ksMvGYzIMayyONsS8yimTIlqY4ohI3rxWsFpw62zFbP5jOurDdv9XrJztUp5toqd1Wj109+jsx2vv/oCx4uG8+drHl+tGUJCGyj5gE4lY7Xn5Vv3eHj5RGI2tYDpcK0jhnCQVEhnwFiHRWEqBBRC0YC2lfhSSgltlRgXqZzNOt68fcqfPniIMZYpZLSVKaO3lsXyNiFGUthg7AyD2FbvnJ0ybzs+f/aE/bShbWeMfY9CeiHeeqzz9NMWUxRaW0Ip5BTRaLxVcnn5yVNIVY7nLQp5efVxkGmgazDeQ5bLWQpZSBZoDHD75C7FGM7PH4Mq8vWuWkoPCnE7RMngoyHVQkXjdMFbj8qV6ZCdrrWwmC+ZppGZN7x5tuI3/8qLfHo58WcPBrbrNcopUXXv96Asr9yd85/9ys/zZ58943d++AE5jDItzopS5KVbqmTQS5rkJWYNjbIHCEAllkjXdbTWsh8CScsQoiLiu0a3NO2Szf5ScpDaUCks2iX9MFJUZQojVDFdKmPFrOwCL61a8mC4jpEYA30ozFpLLOUQmSkonKAhnVzulTNQqpTSVcbkKsOWrOlcYjtEiVbkjDXCCPfecNx5nq53pFxoGsc4Su6VqlAoZt6CFjOwMhnlPTqJPdPPOlKqlCqDEnJmMV8w9JEx70hFNjmrdkksk8hutMagJfYThY395be+zuX5M66HC3y1aNWynFVo5qwWpzx49ABNYT9ONM7T+papFLROxDTSZo1bLNjsdqhU0F6hiyJXjTKwmresN3uWrWU3jqAcXgtJYzcN+KZjCnvhU3tPjpN8T7zjy0dzbt9echMD33r9Jf7ln3zIs6serSLGyORRaRAKq5YCvnXUw89vTPkQe6n0Y0Br2aK2qmUsgxw0IyxXx8RSabVhDCNDGLCaQxl2Sa6BkAQpbJ0jRYWzkWEK1Cr/TWMMOmsWi4bVfMawS6zjxJgmvDc0ZsYw9pRaabTmhbMjHjw/x6IotWJNR86RWOTnHVXIRR8oWNKnuHt2xMV1z1Qk2mqtZdY6eQcVGVqVJLz5dtmhxkAokh3XuTBrDMvFCedXlyhvmYaJsQSqUoJ2VEr+LngW8xnnV5cYa4hpQlNJpbDs5qhqKEYTajxckhbkNKG0Y5x2NM6QVRW0ofK8fPdtrrbXHM80Xzx7inIGhzs4CIqkCmqmSiYJlX4STdVEbXDao3IilICqCus1RjvG/YDGUW3FeXmGjyFweusW+35EJZlzTCkiewbPOO04Pb7FbD5jP+3Yb7aokgFNYyyxCnlIVzg+mnO6WvHpgwcMo8ixKnJW0rWiD3bZFCpu5vDaECfpii3nS1IcZdBnPI1WHC2P8N0Rnz/6GFMt3WzG7sCpN0rhfUtS0neq0xptW7p5y7DfY01lDMKiT0XidxVw2vH119/moy8+JI4Fv3CEGDBIZG4CUooszAlDugHboJXijZdfIdbM+uac/X6g6VrGnzg+NDjTksJEIrJsjjldHPF0e432mjQlcpxQrpJjxlsnPH+rSBn4iek6pMO5QJwH2ilUrXjvKUWod/22x9oGhYijwlSYLVZgCifHL9K6yAcffniAivz//vWXWmzNZJrcoHxHqBxePArXipr9i/P7VC04I2/kgeZcyzjtSVPEasNysWQfe2quTFOi61rGMGK0QilBV1klxYbKCDkKslEdDsGhYGg4OW25fbzix59+gcaQjaZpGkrV5BKYL+bsdjt5eWsPVni9M+fAd+zDHkel9j2ffvRDbsaBt4+PiPWIv/j8Ibo6ChYdkpRcjUFXw0t3XyYVxXbYgjKUAt62NO2M/bhnnDIUy1ACqWY0BZ01VAH/C+MVVDWEaXMwbQYolnHcMQwNJUeULgz9FqM13jdM4yhxIgQrFscdTdeQsjB7p0ny/4uF52zW8vaLd/nmX/2PuHfvZd778fdZ39yI3VaJsdaZBlcVyjekUfKD19dr0hgoudC1M6ZxpDFOWu7aYouh8YmSQVmLbxtund5mdfQKrnOE+pxt3oJxtI1glzKaGotMl42g+B5d3vDFxQVTCVhtiHlHSIWUZWVtvGF5tCCsM/PFkv76AmIk5cjDp48kb4bBYhgOqLMUI/0k5mBntGTlqkzWGt8wxh25SLPdak1OiZwz89ZimiVKKWhaijMM0x5lBJFVNJALDmTLVAoxB/neJ4l3ZSWHd28tSluWswVvv/IaX//qW/yr3/8eIRlund3m8vwRmELOlXGfqRaUUzjl5QFaRr786ou8cusW2x+8z+78CqqhKNkqGS2XlufXTw6TcnBVIgtf/8pXuf/gPsOwZ9vLpYGcKVbjmhY/ZVLJLLsZN/sNjfW0ThNiEfEEhc00cr0POONRWtN2YLWnD0JNaGyDb6C/MRRdKKoSw8jjy6eoqik547QhDYm5b+njQKWQlSJPEWccznmmKN9n6+VQUqs4HObaYn2hn4TesZoteX5+yazxh89/ElGW0iQqqcjGRIy5jlAju5tLlKkYFNNUODm+zRD21Cpc6VQiuWp0lUvUrFvgHbz5+lu8/9GHqN0IpZDIjEOPMS19zHx+s+f3Pwvs9opbL7zO6fGee/dO+eKzD5lmjvPrHcd+yd2jE24vtpiQaawllIpvDSHNOT65y373jNhvKLVCqZArEwWnHNVqiRymxBgDjW/IU4JScVZTjGOMkRCu5CBgHNY5+Xl2lpk+YQw7cplwuiHFSIoj1rXU6vniJuC0J+Ui+W9rybXy1Te/wueP77Pf7SSzbD25ZrxtsE5Y5lVl4cArTUwTNVbunp6yCxu8s2QhJzLEQLM8lk2jsVhrSDUd3kZy2PbOY5slJ0cv8vD5p2g1QY6UakmpoiZNVtA1Ha0O9MOO3bBH6wZdPaYGMJb5fMUQdug6yGeDJIhcY7FG89nDD0WmUzRFa2xbWHSWISV26y2pDKgqFC6oDOOAaTqsaUlTkRLfgWxTLPKCV8Kzv7O8w71bd7m4+THX+0kwciaxC+JzkNz3lkxFm0wOBecaMBLvfKoyV+OO11+/Rz8lUgJDAAVjzBjl0FXjrCZGEWJZpKCrS8YbxZACOResESNzSBPFFIxpUTnhZ4YQ98ycYz5reeXll/ngsw8ln01lGLdUrTEuo6oDBbOFJQeHtprVbE7RRfwZ+57rzZ5NH5h3S+GMV0fqR4rV8vlQikTl8bPnIsByUjRUOojboVTiFMQroYGU8E2Ly4q3bx9BSFxPFuMmVMrcmh3hFjOqMjx59pihjFCgjomcKo3xxDCRSyFieL59iHUQtxnnDFZrYio0jea126es91su95nrfuT2nTd49vRjyY7ngvcdU46kEtDZYRRYqxiDkIvMAQMaKzRas+o6+hx48OwTKJlhkDSB0wK9KDXjuo5p3EpEKSWaxoEzB/N7RcVAtiIgO57PGadIyolUJmwrl46SDWnKBJ2Z+ZY4FL78xjdovOKDj9/BVsv8+DZhCsw6xTe+8Q1OViv+zR/8DhRF23Tshl4EVUbLe4HK0+fPuby+kgGI1fI8UQrn5BIRS6amijeGMkWqLbTWilNAQSgBpxRHreXt1+/gtOfh5cjRrTuMuwFlPVoJ5W2MiTHuaWcL6Z8cMNqmwNl8yXV/A6rIO2Mo3F02PB+Ekf/u/Q8JcaRxXrpqWTDEiorVFawnlhHbzlDIBv/Z+VPa7ohKRzcTMIVShWbmcWbOcn7C4y8egLHsxp7duMcaw2uvvs6D+58cDNQOVQthmKSojZbzV7IEMk6DchJSiyFRSmbeHOGMZjveUEKgaxumJB25nETUR+rJyfBi2/J8vZdz7b9XxOR8RlIO382o044pRGbzOTlFYi7yRa6gtObs9IyVdnzy9JFM3q3CmIbV7Dab/pxbR6eE0LMehKldyoTWnoLCa4XShVIKJWV80xFDlsyyUeQEs5mhlMpsdZdGd6yvH1INlOLQujLFUZCOFDncF401ilW3wruGJxcPee245Tdeu8UI/N6DNbtx4OzohIfPLghZ8tGlCMhVvtiVrm0QCdjEyeltuu6U8+cP+dVf+5v84J0/oabM8ck9Hj/5mJR7aoaYErP5gjAOtF6+6dZ3coucnTCFnaySKNQp0B0fQ1FMQcQCYZzQzkIt1Bwlf5tkOmq05fToFvvdhv2wZ7FoeWHecrxYEFavU0rHkyc/xDrP9fqKY79gl0bC1KOSqKcLoG2Ww3mVco028vJofMeYKs4aGueJMUCNZKWxs46X79zjztldSobr62c8fPSAbj5jVhue3jzBdR11DCQNh4aUSIyotI1CG0WqljBNtO0MsJTQc3J6ytDvuf3CK7xweperiyd89OhzKglqlhUtGW9a2s4zTj2lFkIo6EM5UytAFTSGznu2U38gDgmKLwPL+fHhISuUmykOh3wrEinQh/hQzTSmlUNt3qGMg5Ix0pOlUum6AwpMae6sVnz97Tf50UcfstkXdOOZ4oCRezsJwWq5mSOlQsUJWlGJZTEZESSVWLBOcJuqGqDiW8eXX32Zj+5/TgiR1WrJa69/lcunl1xuL+innhQnHJqua0i1EEMh5YnWNUw50jqPNcKx9lakGspprNLEXFEIWcSoGUVVVC0cdx1VVxrfElPkersjkqkp44yImqrOlCTTCmWQMqyt5KgoWXHvpdfZXF+ifYtWCcPE+eWWmbX8jReP+catGX//w8c8ngpaO04WS67Wz0lZNh3WOtp2QcmZ45NjhmEQgZlSoBzOQFai8ibWQ/diEDwqEFPEm5ZaIikHcBanPLOuo9rCuBkPuvvMvO3ANgz9wPLIc+fW62Rm7HcXTPstylZy6ElVkfLE6dGS49Zzvbnmyc2A14YxFyzQtB2ro9tcXT8RnXdRP3UEWO8oBsKUcId8tdKeVIsQTDCkKjl95xyu8fRjQhdoGkNOipAmrDUoLZ0QZSXGp1Um10qzPCVOE3HcSVG+CPO+eMPx7FQKu04m49Z3xDHI5dXJJi2kARTULFGvmCtYjTOWNI5UIwfOaUpo3yFsJGErGwtjlE1E4xqcEyZ34+Rr5Y0mZjm4GeNYLZfEPKG7I8JkmcZLVE6yYdUSYXFGcql4RZkCKYvhUxuBLpQ8ifSvXTCGzPGsO+DgpHtVC1StpTBoHIoCWhFiYtZ0zJoZN9OGV4+O6azh05sNqhbGNDKFhLdz2YJVy6xbcNNf4VylbRzDbiKrSsmFplmimEgxywu/gFcF64Xy1nRzpjKJTToMKC2DrJQLrpkxDQPOKLx1HM1OiCky5j3L+Yynzy5BV06XJ7zw8hu8/+EP8VakRWEItI3npRdO+OzJBdoatJLJc4wJckVpQZOGNKGVpWk9i9kJtWg220vuHB+RNFxePBespFKgrBxoTKXWwulyRZgs+yQeBm8NU060tuX46ITrq+fkUvEHmWGOhbPTF0AbpqlnH3aoWHnldMkwRK7DQEJjSsUYjdYSpSwhoNwMlCKMa5xvIRViyRhj8I0n5JHGGcIQmC1mzNsFz84v6WYd33r7TT769D66u8OLL3+FJ5+9w3Z/LiVGbxjCyLCfKCjxpJSItk6e/TqD1hx88ORpy+nRkpshUIvBVtmgYSyNc0xpYN52dH6BUZX9sJUNcEngpGthtWE5O2I37aEEnPVMFZxV1Cj+C+/sQfJncHNLqx1hnLh75y7HJ56HX3xOGmHKgjq+fXqKMXOuLp/T9xsqFt9opmnC246JRM1JypRatvu1Sr+g8SIAGyfh4sfDOaDUhM5CkztuHL/y+h3uXw18dLWhdYVf/OpL/Md/9W0+e7blf/z9z7gY9qhqSEV6Ykob6XMVya5bqwkl47WjxCwxXS9YYl21bJOsZTtGtFOUnChZYz00fkYIEzklvDmIuXKhmgZTDCn3eDdHqUQqlVoKi25FYy3PL59TVKJtF1jjSSEQ80QsgZn3aNvwxuuv8Oknn8plLQl0xWQjWMk4YovCKUOoAWMc1q9QFqZhiy6KamWArdEyrTeFojSugDeOSMa3czrXsb25YsqRMUyk/O8TMVk1OQVyGunaFuflQ2W0YKjadkZNkaIy6+0Vg9FShE0Fr6Sdvu6fYnPh6uacxgmRxvuGlBAaBoqqHQpDrqIhVkkxb1r60KOVoW1krZJyxsSRFEcpmyZQNkpu/LAq89px+/QW4ziw223Z9pcczZcsugVnq45fe+MFtlPku59suQqZ3XZH6zzKgEVWUGjQRQ5fUw7UUui0Z7/dkiMoIh9++OfEacs4JIZhT8rToa5QUaqKMKCxhJRQGGIUi+t8PieEnlwmjo5XhH3PuN/T+oaUIqoectm1UnLFOXO4twkdwBtDP2xlbadgzJqLfWJ5cpv91VM++eIBjXW8eO91br/5CjfnD1A54r1hSgFrrKzjlCDGlDFyQEXhW0/IBWpmubjFvG3ZDYH1zTOUzqRp5POH93n06BNi0CL/KrCgpY8RoxtKKgQKuhrKmKhUnBU1c00w5UqxCd004GfMuxnXT/fs9iNGO7705jd48e7r/Mvf/Yc0hxdfUR6lMzkmWdEWTTjozq0xeONRyhBKoJZMSJESArrx5MOlzGiDV5bxsEp/5Y03+PTBx8QQaZsOVeQQkEvFAme376BouH1yiw8+/REhZIwBvCONQS5b6cCaDiPn6zV//KMfiRyiVlm/aVBVEI6FSswFpoJp5njbsB8Gphjh8OBCGSm0pYRScrgzVpO0o+1WWDsjhj193/PwwUNstbJtyEUoAAXIkYVtuX264tn6OTlnXNXELDQeyOimIY8Zi6GfJqyfo8uI8RZnLI3zON9w5D1eZ4acGUqimEpTG6IRvJiqlZjKgTgl2E7XNJgaKRaogafnD1Bobi9OaVpPzRtudoGlN/ztr77Cr752xPeu9jx5tIYMz28uqEqyxNoIKs8Yj7dwc3UjoriYmDlLqJExF2bWU41jtmoJ4yhEEWtAifE1xVFsvW0rYinr6KceHzXKK1QsUAveK4bS45vMX//O1+ljw5+8/zkqBkJNxP1E5xumqccZi2k6nu0i/SiX3mnMYIWSsFguuL55xK22pTGOp8PA7dMzLjc7xnFHnCKqaM5uv8TF9XO0MzhtsBRiPwhj3misttQIR4sl0xCoVVO0DCtSBhUTznqRpDiNQTagtgpPPCuFcUJVSCGhQuImX8mFNRt+/ktf5oPPv0B7KT3GMhLyoTxWwDlHLkHiPTGTNejGMoVIDaJ+TDGC8zStoelawmbCt4aaEn3fs5rP6VxFaRHxhZTwjcc5WHQdL80bcrI8DwptI30cD4fIzKKbE4aAb+QiOfQ7tHWgkb8XmtY79sOIroo07akUxlwxFnRqqM4wTiPOGkqJKF2pxpGmidlsxcxa/s4v/gJ/8O6f8mtfvssvvHGP//off5f1sGE+PyLHtUzNNcQc2Y6y5UqjCGisazBkQh4wBlL0KDWQlZC/ktbkaqglkTZ7msWCMe9wSjCu6WAxj2nA/USiljPr8YqQMs51PL/e0LUt4xR5+fZt3nrzTR49+oxh2hGKbEHQmodXa1w3I+x25JIoKmFq/envkUtE6UaM3DGz2V5TiNiieX69ppA4ma1YOMsXl5fEClZllDPcPn6Z3/y5t/jo/kPefbxmPvN4q1G9QWtDP+0oRlCEnar4xtGrwHp7LVuw5QlNCaSceHC1FSOzsVJw14WmdWjtGdJANZV553CzEy6f7oFMKBHTLDDagspoK9lnaxRTKugQOD2RiM2f/vB9Uo3YKbHf7ZiGczLQGEMeBsYghdIxRqouQv4xmpotYQpYqw7vwh3GWjbDIBbqWMkGEUctO9abHUoV+r5n3E/yplaV1jmGEMEpVFJoq7m1WhG2EWUayhixRlHqIW6rnESHZnPImZNZ5j/49hG/+PVbHK0crXfUcocpJ27WEz/+dMMPP4aPH56zGTZo4zm99SL76+cUikyvD1HVnAumCoIyIpFJ1zTEkEE5EQ4qjVeaomUwkKfA0fGcr96d41rDZ5sNt06O+aWvvchv/sI9Hv3rz5idNPgU2PSHYZk3pJDQVaAoY8qESXCYhYTxLf24waZKiZVC4sW7b7Ncrug/fQ8OGNZCherIUboZxWjGFCEZGuuw3lOHiWo8YeopNZKRd/zN5pKCbOCPlseklEh5lPiYNaAawhRQRfHF55+D9SjjUXqihAoOxij9Hm0cmYyOimpgHHYYleV76meM+72I10pCaYehpVQZQr909yU+e/gZd8/usGiXfDyMkDL92P+sx+//2V8/8yS+nc1EFKFF9952VhjxJaNtQ64RUzVGQcmy6u7jJFlib6gIq3TeLAlxiyUxHnKPqkou1FqFsYqXb5/w/KonV0WYJo67hl0e8dXz4r23uf/4M1LcY52XiTUKZxuclYzxmAXlRq2crU6IcWQXI7rKFDJGuLto+fZLK276gfee92xGwQk6Y39qpwtxYtbNSCGS4kSpCmUci27Jen1FURlnLVZbQpTDcYiSE61oTAZlRRqA0ZQsTM9Ss2C8rCOmQFGGk/kRY+hx1rPbbzGuJSehqUwxoJSSfOkU0Bi8a1EEirYsF3NuNmsa6zGqoKtjE/bkLJKEo+NbHC1v8+zJfZQvLI/PSDfXnFnL8zFSKPjWc71Zs+iWLI5e5Ld+7W/z/sc/5L0Pf8ALd19hvbmCVFlvb6CMkjs+rHMpirfe+g4vvvQVvvu93yaELYv5gu1ujT6ot2vVrFYnXF6dk2qVCYBrCHHA+RkKaOcLhu0aUzOuaVkszygxse33YBNhlGmJVUjvQbcY4xijFGKlJ2Qx2lBURulCSpqcIwopWK/8jP/Vb/4Gf/DjD3j3yed41/Hi3Tv045qr66tDcTBKgbVUbp/d4td/6df53nf/jM2wYQoDuRS8U5KFj0my5t4L2SSJWEQphdWOWgupShZSUcUL0HRMQ+Du0ZLvfOvbhKz43o9+yL7fAfJCvXP3Nbaba8LYE3MCCs46vAWjLX1MIucoia5bcdKtePWtr6BnM/78+3/I2O9RWdwMtYBrNOZwcYpVyBtUg543lJhQSdOtTlktjtnf3CdQuHt2wmo15/V7d3jz7ilDiHz0eM2jJ895fnVFPwTCJHiwnCJaFSIVpxyYQNfO2W52FCpGGRpnCYAp0Mxbhk0AEvN5y8+dnXCnqfzpszXPx8iym6Fy5GrckxJSdKOAsjS2JcaJlEZKhZdOTkBlnu12dH6G8cIh3m9vyKpydueEXT8Q9hNFAalgjONo5fBF8XS949XXX+L51ZZht8NYhS7g2obbywV/4+ff4vyy8MHDDX1ak+OI9S2/9cu/wB+/8w5Pnl9xenLM+mbLMG7ROFJMuK4jxQmjBN33cy8fc7Lw/O6nj+kWC/p9ZAyj5Py1PhSAZZUvL9OKzonWdWzHQVbiutA1M4Yx8Mrr32AYd5w//5yKYuY9q/kcVS2lwtX2ihAmtFWoUsmpUo0WYVbMYtX1lsY0xDhwcjRn0w8Y1zENW4ltuZZaJC72+itf5+nzT+nDIIfkFGiskdJZFCiAthrnPUMYsQVyzFRdsVaRJolDoSEphzWaOPUcLzuOnOa3vnSXv/ON17j/fMv/7Y8/4/5mQ20U/W6i7ZaMcWKKA0pp5s0R07ADLTKikEaqbqgFrAWVC0pLvlrplv1+h8ORUqSYStd0Ql3SlamA1QZjZ5AHXl6uWE8jx/MZt1eG959eMxYwOGqKEjvyCq07pnESUzGRtu2oKI7mHVM29MM105gOHTCNqoWXXn6T9WbN0G8ONmaDqVkgBtVQyDjrha526IpUVZm1Hl0rUy6kqjmat+z3E8YYbCvyJKUNRSlqShwvFuzHgc7N6ceRnBONdzKZ7SRbv11PYuouha5pMMC237NsVoQcqTXwyp0T3rp9iz/88DP6IEO3kisnt+7RlR1TGolFZI0PH30k29aQBN+aC6VKtp9ahd8fCk4LFcpYRSmaftqjSgKkJIsDbzzGevp+91MaXCxgS6H1LaEkZt2SMUW6rmF9fSFleG+pCI+7abzEI7PGWkGh6gIFjW0805iF2Z4j3jtCKodCrZTdda3EVPn2177Gw0cPWa93WN+SlWB8C9Iv0xaWrWe3H/CNIyXZalvniDHgrcIAExKPsVouxFMOGO2pKmNVI9taXQGH8x3HS8V/+iun/Ae/8AI/+via775zxbMrmLaF6iSRcPdWyzff8Hzn66f88Q+v+Uf/6j67EZrZGTn1qDwy5kSpgicuMTOfzbj94ht88fBTFBOmgLMtJ0cLnlyec7o6JqdMDAO+bWlq5iu3T9gl2CXF4+tL7t1e8L/41Te4ezznH/zRR7x//4Y+F6YpIWbPgq4aayzt7ERkbnHi8uIpprW0fsV2d4VVltY1hBBpZjO62ZyLy+coJZvXGEa0cuLDKJlaFbP5jKZZcnn5lMV8LkMJpGeVcyTEgKrgvcRiphQ5WpyyG7ZYZ2nahtAPpCwyzNlsBjEyVdnEpDJh0dLPtGJ1txRyqYA6YFmlt2O0wSpDP+7FcxJk27dcLmm8Zxgj1jdMuzVi7rW01uCaOV88vi+9u/+ZX3+pk3iqFDyFXFKZRiW2VeMZxkGy3s4RU8L7jhdP7nG5fko/7ci5kpSU2MZpR6kJZS06V46XK4ZxJMYJrTTkSjOb4/fyMNvWzFgiORcGMo8uvsCYSooyLWq8pxpR2E9B4haroxPSMBKmgevthuViKQWDqbIfEtYbLsbM73/0DGU1Y8ykWlC6CH4wJckLGs+LJ6/y+ZP7oBuOlzOm3jL1G3JNKCxgSVmhDaSS0NrhncRmEonOzkjJUWqg5oxvZoQk06UwBqoG01j2Uw81oYtmOZ8xpkKsVaRCRmgdWjtsjVRbacxcLklGsV3vpDREJiAZbesMAMbMiVlzffNMbvuxsr2+4ivHS/53v/ot/vs//Zgf3GzYbvZQG0JOpDGz3t2w2V4TUs9nD96ncY6vv/k17j8M7LbxQKmxFBD8XCs3z1QnUgqst1eULJayXBWdMWz3N9QKnZ8zKTmYam2ZtZW2WFIcGUsgpIrVkWdPn9A0hlQKJUEpYL0wm0sGpQO5iAlXet4KdCVmqXLaxkkp1hg0DurEVCb+zQ++z9P9iNIFZSOfP3wg8QalKClSDz9XjW/Y9Fv+xb/+F8QhkUvCeOhmLXkMLOcdttUMIXBydIub9ZohTyinD6UeeUHeO71Dv9tzM2zo3FzkNgFibtGccdRqzlbHbLZrKhHXNkzjRBz2hBw5ANupVIw2DFOkauHGoxSmRMY08dq9t3jlS1/ms4/e53zYoK09EERg2kWM0QdMqrgXjk6WUlZF0XpFmrZMRHKR2Nq47Xnj7hG/+JV7/M3f+FX2feCf/c73WF/dEI/vMO2fYlQk5wQHasTt5RGL1vLo+pJhN0hmPVdsrTTWMo4DGVCTIqqI1RCnzHuXO/4sB/pp5HRxxlsvvMrnTx9QVcR4idalKeMbR1FiZNWHwvh6muRwlgtTP8I04a2VTUZRbNYbXnnhFnmpeXz5RHK0OTNOWhwJ1vHoyTVaFTqnabxlDIpaFENNrNoKR4pdeRHtX+ZyfcPV+pI//P67XG82hCnw+MlTrLVY6xhDQDsvFluTMcow5J4fPI5YpRimSOsDloprDCVqnJ2jbWXY73FuxjiOJA1aeXSzwOUsWMyQqN5TVOTZs4ek1EuFWIHSBazib3zpDea+4R98989Yx0It4nkoOqIUzBanlKln3+9EIJUGcsk83/ayRk/yHHNaVtZai5/i8ePPSHlPu1xR+kCIiWqkrKiNZUwDtlimaU9RBuMdWSs5hJWKNoIejjnjW8M0jTStTONtN+drL8z5pV+8x6vPdnz3/jMe7fZsB0HGvfzaN3j0xYfMmgXr3RVGZ4xTGG1RtqGECXXAWAoGGRQWkz3DbsdiuZSIx/PnjHkijAFvPVOSKA45oRipKvFwfQM6EXXi4U085JwLtUzoDK5tMdrQzO+QwmOUkcJuLjLl3u0GrJ2zahbYeeXp+oZaK61tOO1WNFpzf7cRpG1NB2OmY4gBrSQKWLWi4AS3ifg1dsOENNEVSi+AXi5LKVF0pYzy7xYH6+0W3Vhy2vGNt7/FfpdYzDref/Bjhn5HP+zxjcUWLV2HkCjaobRiN21ojEO3nsfXW56c34DxqBoIcZC+x3DJzSDo1KVyXDx/RuFgmXaywfTes49ZeO9WptK+tXTmiPlsyXV/yeJoRf90BO2wHkythJixVtFoheo6pimQU8FYhdIw1UG2rWGD1haSmLZn9pSmabjeX5BrolusKDmjW4UzHevtmqqVTHhzxGqFOrhohjFjfUfrHGECZzXjFGgaz2effy7sdiI5ZZRt8N0RYeqxSghO632PMYZpQhjqphXCiXOEGHnx9i3OrzZI40YJqa5YfDuj5j2hTChdcQasc5zOJ/73/+U3eXrZ89/89x9yvlXcO32LW2eKcx6B8eS2oc+n/P3/1/v80997yt/8pTP+D//VX+G//R/e5cdfXLCaH/HrX7rHu/fP+fhmg6mVxWLJlEaurp5RS0RrKZK2reXO0ZKbzQ7bzAn0xOCYdoE9he/unstnwFogsxszf/7hNdv9Iz59vGFHovENumhimMRRYOUdvDhecn7+HEogk6jB0oc1TnsW3tKHifnqFmcLz5QTM++ISaOVY9EopqQYwwRG4bXDoXhhdcrlxVOJS1bLyfIusSTOzx/Qtg0xJ2wxlKZBI0PWUmSIOg6DQDFIGOcJKWOVEfxDTtKzLFXii64hDImkMl3TsBvHQ/xZTLKz+Smz+YohyflVH861437HMCpqhabI7xODxBR3oTDXh97DXwKg5mc+xKsqWUJjteQk4yT4OSVmNpEFZGYzuVUVG3n11m1+9GCL8fDS8QnXuz1DGXFeM8SAAUrU5MNfRFOYQuD9Dx/QHNrpVcGUxHSZgXHaoiugZMLLwY6Z84jRRg4qRSYMVUFMhdXxEf15j1KG03lH0IbZfEG/H+iniUiW6XvVVC00lWkU4+Z6v2M2O+HsZMmzi2d86zu/xTs/+G1sUeia0UZRiqJtbrHePQciKSuZRqpEChO1au6cvcF6/5SYBrQVHJmxLboW2hJIRtrbqlTGw/8n5UqpmVLk/jdNPakWfHXsxzXFKCiBmgUF1U8yATk7ewNFYbt5wDSNjIOm0RU/m3Myn/Ps2UOerff8d9/7MR+cb5hylvOvlgzztr/gd/71P8Qogy6IXr0UPn34EdUYuvkRznlurp8AFaM9P37vu7zw8g3CYTVUVQ+IxkotlU3YCXc6WUodqSoz85Zf/cYpf/c3X+HkpEFVCCHzR+8853e+u2E8vyEmya+rDFUX6uHQrrRscYxp8U4KL8fdilSCsJcPB/tSDlSWriNnR5gm3nvyBO08JWZwBWOgVkdjMk3XMYVEGkZKGZn6ivedSI1MIQBpKhy7lr/y1stc7hMPnzznZDWX+FCZMN4w9Ynlas5mu+HF4zN63xLWckgNNaK14qa/5LvvfY/ONmzXl7TGy2cjQ4ijdABykhwxmTQF+iSfk8b7g7I+MKYJKPzL3/sndN/r2PXPaZQR02Yt0sr3Hq31YaUo/GsJ/0dqzjTzE6bthmiNWAZrAt9hdcfx8Smnd85wmx2rVtHWyM35U6YDpcBoTc7iXyBNrFrDN7/zOn/4wyfchIjzHY5MPwldINeCbxfUuv0pxeFyuyXXLIi1ceSdzz5gKhNVS/TK+Yaiyv+Htz+LtTXN7/Ow5x2/71vDHs9cp05VdVV1V89sks1RIqmBkinJ8iDDkuAoRowARhAngA0YuQsSIAiQ3CRGDPtCGYBIshzNjgZaFJsUKTabzZ6ruuY6VWfa++x5r+mb3jEX72rmzqBhwvum0dU4Xfvsvda33vf///2eBx+Knl5Ji64bcij8dB9gagrFqk2ermtR2qJzwhrDL//0Z/ne+0ecXluoEiJGmkrxk198g69/532u19fMphX/q7/wM7z/fMm/+O4J89kMoR2/+fYlr3/qNf7Un/olJrM53337+7z79pscn52zWbcYo8iygij41N07PD1+zBhluSTKTFVVRKGYz6fcOTzgvUePWK7Hsk0yJSaWTSDGTFEll0lWjJG9wxf5Y3/83+Rf/sbfot1co3QmpPLs9G5DTg4hNMbW9J1D5IGnlx1DPGPwDmFEEZMhingnC+L4oy1GAqn41MFNzlcLFt2A0BWkzHyyw16j2d3b4Z2PHjEmQTsuyDFBXjHR1R8UL3PKaGuodEFEZqELElJIiA5yJuRyETVWIzw0dU1d1wy+BaMJIfDW8zUPvv+Mj8+XfLLqCCIy25mwtz/n5PljILKzs8umWzP0Pfdu3OUnvvwZfvu732PsRSmhkqjrHYLvcWPEyx4rBT/+ymss+oEzlUukEUemRMZi9KXMLQGhcTkyppJrV1LhUyJuewcPXniZk+tzujEixCWBDDIgEDg3UlUGlzxDe8Wd2/cYxiXGNMymU4aN48PHH1JPavZ3d9iMLQ/uvc7p1SXD9WUpy8vEmAJNrRljKQKTA6PziJBRSuNipGvX1HWFcJJx9CAVxhqi94WCQ4KgqaZ7PD0+og8eu9ZISTGOujKpJmlWmxWVqbDTKWE9ljyyMFSqIeTAQE+VywZwMp/jxh6X0hZ9mtgYzesvvcKHD9/BCEU3dOVZn2NBearCQpfa4NKAkZExlefZ8uqCnHwh36WyQWqahv3ZhBv7e0gkjy+uuF4tS29IWySFtR91QmXPmD037txEhKZgfHNhzberAaEy0YFUEZk12la4sYNU8LwpRKTWZFckZ8pkXrn/gI+fPCrWaz8WNwWAlggkwTtkKs8dU09QIjG6IjpTlSCMGZ8DKhnqxkLOLFfd1v5dDKA5um3kNtD2DqnKgS+IzIMbmf/kf/IFvvb1E775UaSyB9y7qbg516hKMmsebAcxinXfsr8/ZWgF/+R3ljw+bfmP/trn+b/+rff58Nma33/fYepdFC1RjEwmM9xyJHQbSCUKZs2UrBt++PEjlFZcXJ0iAmil8dkxqXa4fec+l+szvB/xA3Rd4ntvPyZIWz6rtGDRrTFSlUSC8xht6fqO4fgZMQZ8KJCEu7df5vr6CHLicK8hLjO3XniBbrNkcfWcW7MZz9cbyImf/+k/zu+/9T0GV9DQYnvZfXr5MVILhjYiDbSbYkRXSpGCL/IuIZHaMsMSUw8SxrFgvWOMaFMh0KQQiaSthbZsSZKASltyiDg3YCuNqiyp2wCCSlmkEGzWKzZjB7pI4HLIjKF0Ko3RVJVFe4GLEavL88mnwHqzKojRP4KvP/QhXhuFdyUGEoOnqUoBwMrM7sEh15tVOUBT1LlPT5+VW5OyqJxZthsGX+D9WhSkUUiSLiyRcnsRkBqZBIiIH39UiFSIVHK81hiyMDjfAYJoiq5YoCAFpNBFDtCNBDK7s31cChw9fUqWBTN4Y7fhaNWz2Yy88vIXEULy4cM3WfcLZKPLyt9vCwpSsrg+Rpmao6MFk8rywbu/VQRQ1rAzu4muK05On0K//IPDTCaDApkkpp4jc6CZzlh2JWsXssAai9WKEEqzX0rIIZeoRfBIRMmsR48SCiU1jdHMd+es1i0DgUwsRS0SWSpyAj94rq6fYFWDoGJiBY3dYX/3But2xWJ1TRaCS+f45sklfvToukxsi5W3ZLcREmtrpNEsV1ekLFivBmw943C+z+nFM1IWVI1GIfE+cHr8YSnw5IK2iiEgdQbK9599KjZXPI2S/Md/+XWmM83f/tWPeXY+4Jzn9uGUX/m5O/xv/8PP8X/6f/yAj09bmvmcNI7EWDCNWbjC7w8Smbe/d4rxTURN8JSVvR9RSqJ1g/cju7N9luEKH0aMKA/xHH+0Ih9xCERfCDxRGIw1GEbIpSyphSCMEWUyk90d3n18xv78kKwEeVhhxEDG048BJTUuRAKCd54+JIaIlAKyRkXJGMZCdWmvWAHrMWCUZhgGEJIhOAQKXatSsEVslS1leuTcgDQ1QluShN4Fstjgh469nQlqEjk6W2GVLoQFVXP37gOePPkQkS0xelabyKxpSMqz6lpsVYHVTCd7yPWGnCTXQ+KHD0+o6h+w8SOPz1aIalsozoK+G7DGMvqOHAWX6w4pMl/+1B0aY1l0juB7fM4YLZBSslPPi+o8C6IovGBjDC/t3+HpxTHXm2u0FuUDQdcFO5gTg+8xCoJXVJVFaou0sFpeUxvNl16/Sfaab318AtJuL+pL+i7wD/7Ft1kPIzFkRh/Kg997PvzkCVOrWSuJ0YLeR0RM1E3DxvWoGKgnM3bmN/jKV3+e+/dfJiF49vAhxGOa6gCXenKMqOw4On1GFpK9vRlmotmbTPnJ11/g7YfndP3IF196g+Pnz7lwLUrprYwnklwHsijou65jPp3TuYF1e8Xvff2fldiirfFuII4dVTXBuyLRmjQNQzeSYqDrM9/88IcEERCpUDNiDuSkMKYqVs3Q48aCwHQpctmOSG2xtphLpdC44DmY7TGtJhitCIKSocYilKF1PVpmXrl3m+tlz+VyhdUlOyqNRaaKmEdy3OLjYkZpiw/lEF3XE6aTGcfHj4qky0X+5aMF7523bPzI0UVHmyRm6JBLx3rVY23F9XIkxVK6v3lzj9devcF3fihYxIzLA3I7VT/YvUW7XtO5Iv96cnnG9dWCMIwkCZU2hcDRNPRDQErNq3cPWKw9RxdXKGnpuxGlNTGVnHBIgovVghgkxIjzoUzKFX9ARfLOA4l6WnNy+ZyUBfPdA3IckTnQ+YFh1RXUqTAs2p7KWHoDldhas5UpdnQhqKoZPmzofWA6u4kbVlhZLu1ZWrTWjC5QGcMw9lgjt5uXioOdfZStuLw6ZzKf0K3WCDKRhBeBfTNDq0xMM6TW9N2m4HOFQQhwwwYVE8SIlwmhJC744j5JxYJaW00WcHpyRvKJwXUIrUlbz4KNGXSRuykhEapidC2jXyNVwgdR/CsyoCkxxFrDq5+6zy///M+SUuJXf/f3efujxOp6weiHUsYnkJJkUs/ph5a0CVyvjsgkahSOhA8RaQW7kzkP7t7n4dFjxq1rJWw7MmRN8MUxoYUAnTm6eF5cMVqQQ4EjKG3IBrL32KqYeGtraWRmk0IxwP4oHiwlSpY+Wdd6kJJ+dBhFMZYKQXAOqSTRd2hK1BApsdLxv/x33+DXv3nGb/5gTT07YKrnfP5GxU/dn/ON8x7fTBiyL+VzNeHlm7t8++OHnJ+c8jtvS4b4mP/4r32O/8Nff5Pj5x7pFzjnypbQj2QcLpQsv0hASBghiVmQwkhWEmEVbd9SVzXz3WmJNIYShyLDZigxZpUzLkFjdsh5g8ye4DMpJJIOeJfRKiE0VKKi0go3FoupJ/P0bE1SkqvFOb7rqZXlr/74p3jz6JR/8f4Jv/Otb9K5lkTcTskNRhti0hgsSTlSymy6SwQCqTJamjLEk4HUrwkhYqwuPo6wxUJKSQoF3WyN3EaPy7PDaEVMiTH0pOSpmwpbz9md77Jalo2GyJLJ3j7awTgsCOOI0BqjKhItWm2dJl7gxuLjCMSt+Xw7OBB/JGf4P3wmfj7bRZAIvjC7IzCbzHCuZWdnl9WyJfqRrLbmOGFxzpVCkdAEXyx9WhsQGSM1uqrZtKuijN9a/GII5JRIqYgntDXlP5VGK1vWKltjrTQQfNi+MBKHt+/z4N7LPDt6wtXqlJv7B6y7TcGnUTjEtTY8uPMq1+sNTS2JaI5Oj0CUB5JPmTSMRbIk4MWbL3D3xiHf/eCHRBfRqsJHRyJR1Xs8ePAqH3/8PbKP6G0eLgSPoGDalJmQsifERAqekAt/NISINZrptCk5slz0zN6D1posyto0b5n3RQxgePn2i5yvLlj2HXVTY5Rms1mTsscIS2UbNsOGg4MXUEBtp7z0yqd56aU3uLw85c33vsnZxXNyHPD9UA5CSpJDxDaWKCF2xR4qtEAERZZlNZ2Sp6qmSCFoh2tyKofaLBMyC6qmZr6zz4Pbt3j89DHXqzWF3yKIsUyEE4KpNfxHf+VVkpT8zX/0lJQrZlPLRbskOxj6ln/t5+7x53/pRf53/8V3uW7LZQUpUVIwDCNJKZTR1BK6cURmiRKZMWakNGWyER2Nrhni1i0nJMiIEJredQV7iCakEaknjM5R67I5oDLMplPWqxUyaSKRw8MZ61VfyEdZorTGGoPN8G996WU2oee3ni24XrdEXz6Qbswm7O/vcXy5REjYtGvcGMmkQkcwkuwCwhhG74CyPRA5oJkQZaRuZsQYcH7Y2gojRhqSMvhQjMRV1WxV34UcEUMglmYIQmT2dg6p9Jzl+rLQJZQn9IWIMniHMTVGaO7ff527N1/knQ9+H1lr7t+9xVc+8xnaxRVnqyVn19e43nN8do4bHEKB8x7FVtImix1TGFgtejICrTXJR0J2GC25d3jI8nrNOo6FoewcjZ2QpGIYOnJOTCrDmEqJMzNl8GtyGMhBMsYOqyqsKR2RLCEGx858AiEwhMz9G4dU+/f45OF7uDCQYiaKUmbzMSFEKeTGUNb+YovklAmMhXaIVJMJRioOD1/gjc/9OH/ul/9t9g/3+c43/jnf+Pq/4JOjR2xCQERJv1rw2fv7XHeR81XLG6+/iraGz790l6++epvf/PYzvvXWe1x2S1wcAFlY9SmVD8OtdnynmXLdbhBKFkxttEyspveubD+NxKiKg707jKml33REXyg0ksS0qtk7nPPs5IQcC/ox+jIpNrZkVHdnM642a8LgSUojcylOZ9KWUlTK/UZIbGVYLldkWZ61k+keyjTUMrHql+xOdwkh0PdrZNYEmUrkQBq00cS+JeWyNZVGUzV79JsWpQQJgQoj2QpyVDTWbOkckdEnhFFoJRi6AWvrggw0WyFdTkxqU0ghl0tGSuospIS2kwJJcA5rPCFJXEyIZIgkZAwYq6mrKbqyLBcXVNZwc3ePMCau2yV9Ks0mIQrUTqbyCFJK4IdIpQ1CGcbYQ/ZYUSbkJbonCEXNAFIyqxt2mhnrzYZVX1CeUlqsNHgRUJQeRHYen8DoIrXLUiBVhVaeGGE2uU0IG2LY4MZY4i8iEVMkRUHOHlkplDDoXLK/CMlqvWDWNCglaPs1MYC0tkwsJWRhAVCpbJ/nk4YGjTLlkrEeN+XnKiUhJJSGyWSH5XKFsqXHhoOYJDmO6LqmaXZYrq4oY71ICnDj8AZ7u3d5/PSdgsLMAVtN2T3Y5+TkBK3K7+b23iG/9Es/w3/41/4SvXf89f/33+Fr3/g2q9Wa3vst3rfIGmVWtMMGaRSa8v1VuqJSil4EvE9MpzNeuX2Th8+O2HQbtN7KpnIkxjKgUVIDiUldEZJk066x1jKb7TD2PUmULIakPKOEktze2eHLr7/BN999h1VbkNZhTDTTipA8KQsIhb0Ogmlj2LiAkJrgu/Ka9h4pSs5bicy/8yducetwyt/71XNiM2U2nXJjUnFvZ87dXcuJh5gVULDVznm89zw9vWC52bDuB3rX8a9/dZfPv37A//H//gE+Zyqt0EIw5NL1u3XnAZU0PH/+lIlUfPaVl7l155DvvvMe89kuD08eQ8zM53N++ie+wLvvfsJy09N1HUkGGin5iZfe4J3nR1yuz0miQhtVos4xE8YRKSUkSVVP8bjSvUqx0JhyxGzfK10qxDqiQArHF+7eYdONfLLagNaYbOh9jyAX6pyCw91XePHm6zx89B2W/RWq3KHQjUX40mk7PLjFct0iGYkxMqt36P3I7o7l9GqDEBoh2JIPNYaKwXeQPT5klAJb6UJoixqMwvdjKV2TObx1k34T6fseT0t2EamqAlHQiTgmKlWRVEG13rp9h7t37vCDH/yAlCPDOBbh3n/H1x9pJr6Z7tBtc3w5lRWZcy1uHLm8uEDrCRlJDLEkxVUmCV2yq0IXnGEMxb0SE6ZJpBQRQuDTiBCS4CK10UQpEbrgmHLKVHVFHD0xjuxOa5Zti1BF+UzWhJCQRvLap1/hZ3/8K7z3pua3v3nKxdU5ziV29/bLIWjoSQhWQ0fv2mKATYEkRhQlIlTMeQHQKGG5Wi7oh01Bv6lSerF1jSQSQ8ujR2/hXMBIhcqGnZ0dLhYnIBVBZPxWv12ZiiATxKKtV6rIh2jV1sZY5FRCJ2J2zO0Oe3sVSmtOzq4ZR4eLI+8//ahk+aRCxCKSKDIiw+07r1IZQffsY9arKyb1jHsvPOCnfubP8gu/9Of5znd/n+PzI5aXV8Vmtn2QGVm+NzeO1JMaaxqGXMx3MnqqZoZVExbXp/R5g7UWI4p9MolIeURlVEoIFzi6uKBzHqkSIEtGX5TLW2XmfPk1y+sv7fKf/e1nvP6pT7O/u0uMnrOLE45PrnAp8bVvXfHyvRl/+mfu8vd//ZgsQMkGdKKeCFzMOFfW4DkZjIn4SDlIpm2RTBdsXmWn3D68TR4usFLyaFGU5CFmjIYoykFeqVJOTXlEes3F5QKrBajyNzy/WmwpIRIrEmMOuN6xv3PAVX1It7nmM59+g+fPn3F1dcLoPL3zVG6kHcYy+XSl+KqVwNqqTNktVLah70ayiH+QUxxiR2NqcgrMdhqGTSaoyDC05UIdxiKYCI4cisU0I4plMqvyAMgSYyQiOUa3wIUenTVhLJflfgyYuoIEg+84OvqYp0cfMLiByWRGt7NPP0reefiM0+srVoMjh3KJDbGgCpVUyG32HlVhql2ms4rN4mOSUITgy3QjSISyXG6GQspQhqqaMoQFvfdkSnkzJ41Q1bZCpNnZaVCtZxgzo+9IZJpK0rseIRU5JGxT04eIcyO1qVmNPeunHzKGsRShRaEyhOQwUpFzUaMjimxKaEnyRaw1juWfhzGhTMVq0/LBx28j/9uBSbPL0fkJx5drNr3D9SMhJmaVpkqa680KFwPvfvgIawTXFxe88/ARy4Xnxt4ep+szqumcYd2iEMwOD1leLoghMd+x1NMKug5BYmoUTW1ZbbPQlS4M5zEOHJ88QcqSV0+5bC+REp89bdehlcCnwn/WzYTgQ4kXNROUkNTVlCEXZ0cSpbSllUIIxd5sRgg9q64vpeSq/HvxknFosSkRtCWNgYW/JgvJfD7HbYk3OSZycCiViVJClqBBGcvO3rxQY2Qh3CQJYSjvw5AiPmeCK0CE27cPSTlyrSShL50HYS21qfA54sbAyfk1xWKiaGyDMZJuaEv8RSismZTPEGUR0hOUQvqEyIqh7ZDjBrG1UwetuVouyULQKMPoAz4F1NZxYa0ihYL/i6EcFCZ2SsoDaSspEjkSs6QY3guHux0LwrCaNgijya70SLyJNE2DqaesN9fkXGhWxEA2NYZIDh1B1aW3sHmGVGUgVsQjxSSNEBgVUdoQtSUOkSQ8XR8xUrOzU9O1PbuzeaGShIjwsRi7U3m+iQhZCRSSgyrz53/sZaa15J+/ecQ7x6Wcn/C8ePcme7v7XC0H2m5DSJHkNAZFzAEtDcFFqolCUwhfSiqMUWzWGwb/BFM3vPzCGzx68iGbbs0YAs6PGDslROiz5tl5y7/81puEIFm2kuQVxDJsErkQXEQW+OjLUIxA1Iqpbdjbu0ElNMeXx0jbMJlMOTo/ZWdeY7VgHDyjH0vx0e5uC8QjKUXWQ0uKCi1LXKaaNKWzFyMqF9uykBWkwMnlgnX3w9LcTQlTN+jsCNHjXSQLxaS2OO+oq7rIy3Iq3TckPhaohMHi+5EbNyt++ku3+c//9iPUfMqNpkEZS1NbxGzOta7ZmysqbZHS4OJIOwwsVy23egjJMqYFKWd+5+2OP/lzd3nt5Yp3H64ZXMBIyWx3Dz9WTMyEoV8R0kAyDZ0LnFys6AbP3lyVv6vUuDETh4HKaPpxwPti45ZWlp95cEhVMZ8dIsQGFTLL0WNVRQplMCqrCkK5Be/M97haXKGQICIJhciinLmyAK34aNVtCVIGHz3z6axQ/tLIp1/8HEO/5uj6gqMUGMIareXWGaKRwuC34qrLxQXeeSpreHD3Hj/3Yz/Jd999m1V3iURjRImgJTx9iNy6cZ+L62fElJlahZUKtGSInmGzhAymshzs3GS9vub89DkTVbPX1JwvykVQIUAV+/oYWnLK23Oq4nqxwY3PS0pgjOXz54/g6w99iF+vN2gVyZTIx9APFKJ0gpgY/LJMyFVRVQupygcjpRCYQjkEz+Zzhs2KdvQIVVaPOeRym0fRD0XFq5VEbwuiOcZt/tezGUaUakBmyCVWEbzCKsU7b32XRx99hB9axtEXmQwBrQ2b9ZKYIpWyuHFDxnHr5gPCWHLrIQukyHhXpoNaKypl6YJjSB3IIrRJOZOCQyVBlgmtK2azPdzYElPBayLLIUpIhVBgq3qrp84Qi0gkpYytKoyy5Bzohg6tDLVU9KOjlwNfuPsyv/BzP8Y/+2e/yVsfHaGlorKSEEqWLaWA25Q12TgOnJ495XBvv0xio0NVltZD60ZWXcSlQGMMB/MZx3EDQ9rSCQJWCJJU5fdEwiCQ0oKxZGFo+2sCAZMVtw4OOT0/YYwjdlpYwyqXfOxyWJE2AakkTTUtbHlRthNVPeP+rdf5135W8OZ7C3b2DvnZn/wir9y8ydlyyfsPJ2xax2XX4nPg17/5nP/k3/8s/81vHjMEwaSasRkWpQxGwSkKDUZYYiis59mkod10uBBIuUwoZ8byyt07/IWbB9yeTfnf/9ZbPF4Va2+W5XvTWlPZjE8SvMY7j6jK+d2KTBs9wZVc252DCa8f7PLR8prl2pNj4FtvP+TTr32J/+lf/d/w3fe+zW/+5j9gfX3Bk2fvsfE9zmeEFNSVJYRYDs3DwO7OlCQkl8trGtMQoqOpJ+zt3+HZyWO0Lo6AbnlNiqJEq4RlTBFlZDHMSUWKghhBasne/g2WyyUxeTRqK58phZxbNw6o7JST58f4NLC7t8PgPb7vaSY1Jkc2zhVTI4mT0+f82tlzsoiM0ZWCcHRYMr0tOm0F9OPA4EdMGrEi0LUTVFV4wJXVuNETQkSbTMwKqQ3DekNwrshVjMJ7SY5l1Vmm55LlekWlM/du3eXDTz5EyiJw+7nPfoEPn3zC8XKJi5mxb0EodGUYgme8dlhTc+PGba6vzxAJjFa4DDsTwx/79F2OF4nHq5HlYkGMHqU1wQWyFCgpqZpdXOxpF6fMm8iTjzqWUYFzrDcXuGFkzBFFoPeZD68XjBTxmlaS4AUfH53y6OyE7MqmiJxJw4/esx3rxXUhG40ty1VguepJEbSueOFwRvKe6yGTUsankdo0yEoyjg4hFNJqQj9ilAAhsLri1fsv8O133iWlMp03tsEoi1QKlcvwwGoLleb+vXs8O3lKu16hlSJkuFqtsLDN/46oShGFZro7x/UD2TtcLjQaciYj2Cw3hBTQxiBFQpuakCkTUqURw8Ctgwk/e19zsXOT7z5esPBraj2FFBhjx4hARFny2FXD+eU1gURKgmY2Q3YjyQ0krYi+RGAmsxnteo1InuB60AqtgKAQUlPPDrAh0nZL5rMZVmiWXUc3dNR1VUqTMcHgcKeF5iOI2y2bRjiBrixRlQyzUhbvPFIU8tTounLpzqVkbXWFtTX92CHMhNj3pYeSI9n1ZUMQS6FZi4wMmdSO5FQKlrnkTkr3B0hCbAWAosRDSGXrIiSZQFNPyMDMNJAlrRtJKmBsgx89AY8YC/f7clE2KlVdl0tEClhTYYxApILuEzLzxgt3+Mt/5jOILPnew1N49QW8H3jr4WNOT09ZLdas+xYpBcIDGZSR1FqSgmRSVewfHNL2K0KM5flqLFIK3NgSfObxk/dKF04kus1iy4D33Lxxj5defIVPnj7mb/29R0hRsWoDPiVCimhpAEkKJRJizZTdyRwfWq43a0blOTp9zu3dPYzRbFYd61ToZNPmEK/WSCsherxPzCYGIea07RVKF366FhV+HMhC8PzkGUJKRMqkWAYiOYXywZGhH7viYjCaO7uHfPalB/z+2z/gbNjQ1A0kj0iZ4D1+LEMagSTlUrKsKoNIRRz5Sz95yDuPVoyuZm/eIOuG3emEvdmUw9196qlhbzalqQzkxOATq3ak0hUyC6ISRAJ1VaGHkX/+r075i7/wAo+efoBD40Lm5s49ROgJIbHaXBeKYEi8c/QRimJqXT1aEFO52Oao+ZfffJOYPFKUbUUKGacNj9dLzI7lBor53HLD3CBkx/GiZ9VH1qsNvXdM40iDpt7dYezW+Jw43Nvj+vqKICWVVqVomoqPwPkBbRSh98TkicIXn4G1HF0dI8h43zO4sn3TUjO6EUyFygqBxuitMR6Btpr19Ybv/PBdbt28xcn5GVIKej+UXoIs76VVf44gUyFQOZKFYbVcQExlWOkTWI1UpevkXHmf9r5AI1Iu7p2be3tcnF+g4nZ4LUDKSEyOq0WHFOVzOrk/kjP8f49iaxpxwZUCletB6NKsFYpsMjkUxJkLHq0VN2+/yFV7jdusUKqsJLQUrNelGKBFkfRoa1EVHOzscrXYoGRpCfshomU5wI9RII0ho/FjAOkQyKIwzyC1xlTl4rDaXBH7gNEVrRvQuuL66hQtdTGI5szQt3R+5IMnH6KpGP3WyBYcO80ED1RW0ruISAmXAslFbF0VwU8sb0SEwhiNSBCEIoUtv94YhIr4ELlz5w6vv/YK7739LsvNgNG6TM9L8oF+2CC3VjAjBdEXFrayknc+fszT83MuTy/LpI2S1U4ylb/HMJbyRihYcUHg9OIZebsa7LoF8try3W/+U54/ecrZ5QnHZ0eMOLIfme7uFuteHKnmu/zJr36eYRz4zW+9hRCGZvcGbnPF3O6ySCPSO2LwPD16hrIGLRVuKNlaGSkkCheRMhdZlKrQUtOPLcYaZPYsLp8wmTzg+Yeaz9x/kTfu3+Arn32F48s1wzjy7OKck+UVcdCcXHQIqahrzdiXzGtdGXCRF+7f5tGzU+YHU1bLkdg7QoisFiVjx7ZjoKRidB1Pjj7hkdrF2Irp7iH1WAg20ihCHiEWOo0WmfnBKwxuQx4u8SnjY0Dlsq5TUnN3MuVPf+oW/sPI99aXtENLbQ19zHz06GMuL484P/mExeqy2AOFRtqiyY4iw1Y/bqRiWjWsVh4tNEhozBRTGabTOXU1ZXQtVlUYK2mDw6WA1AYjDNNJwzi2tMMIakvoSYm2WxWkXFUxjgNjFBhdEvVd29H1jiQid/cPUc2U0+UV1TQXq2TvqK0iSkE39ND3aG0LUjRT/AtC8tKDe1xeb5hMdlm11xA9OidyVLz00mc5ff4E1wVCcqSoyUlgbJFCJb/AmnJY19aUIcA4IqVib2/COAb6rkVogyCzaQfa9mNSSNSmwljFb737JsFH5rszwqKHFDBCUQtFLxJJGYyaoJgghSXrjAsjIiasqPiFz77MN94/4s1npwSKeMlqRRIaH4v/YtOeo1VBYh4/P6dR1wwplu6JH4i58K9BE4Kj9QFkZm++x7TO+C6hrabvluQMUSZiBJMTLnp0UxPHEZd7hNIQE4FieU0x8+x8yeAc1lYIbUpcSgFSIFAYUYrgkMomMyYWmw3fefd9fAwYWaGVYRh6BJJJMwMSm9HRZMNnPvMFfvbHv8rv/P6/4odvfZeYEjkV54JTgelsyjBGZCrUkOQdMQZqW56VgkhWTeml5CIokooSh5RAzoicIfbMZg0vH1r+jS+/wFvPlpx0FfFMIkwmaYFoQWeFix5TTXCxJ7giw9JRkGPCU/wG2qhtIRpiSrz04j3OTk/+gN4ybRq0SCRTF3nS2HK4f8grd3aZNJrf+f77KCML0SgUCoUQxV+xs7vDOLitmRmEKmV4csLWE9wQyvMtRqTKmErSmAl+9LgwsH9wC2kbdvqWezdf4t1P3sVFx+g7yBGrTHkfkBlGD0kyndbkIaMkRFEGY7tNQzsW1nhjDMFLnMjkVP73qmrwY0/0hZhimn0ObhzwyaNPSCFCrTFGM/oNUSmEKT/f3vVIE5ASdBKobfyoVprcBkIUvHdyyT/9vY+prOa5iwiT8dEzjg5jMq1fUilZaEk5k1Lizo0D9poJ7x8f4dzAJ08fFgBBVpBG+qGnsgbvE0ppdncartcbslfsznbYuBZtFT6NHJ+dgXdcnS1I0qK1JY0jOWXmkym1nbDpluV5Gj1DLBvPhKAW5Vxw6+Y+Z+eZVg/kXIhbmzHTx0Az36d1LZWumezfY97sc3VmGcZrnF9jdUUWEFzZMCe39QpkQYieqm5QwhJcT84FhWi05nJxzeLwBqNP1NOqmIR9KCjDGLc4bsHObIe+H0rJ1Qe0zkiT+fLrB/ytX31GK2smMrIjDdN6zmRWo5Vnp6nZmViUFCXyiSBPQIsZQhhcLNG58/WGcXA8O9f8uT++hzYK5yB4z/NnD6mkZL6zg1Y1SuVyecyiuFClRIsiKpNSU4uyPR6jQ2pJTgqIfObBAX/1l7/M5Wrgex8+4+atA165sUvX93z76TkPHy3YU3OOLk5ZbwpFaNktiwldJJabJT6Vy0/OAb89w5CKbMu5cmmQCpbdhiwElsQwtghRc7C3T/QeqQTD2COlIQdHxMO2gL1eL9ECGn1ISj1vP3rIR0ePwSd0A2MM+DRCkmQZWS8uMVrRO49IlrzaIKXC5UgzmSJ1zYGW/PEvv8E33nmf9dNjjBL0gycKQbUl9zjv2Ds44GpxhZQWIyW9H0kpA4nkA5PJhBgywx8BK/4PL3uKWwnFFp9W2bKWQpYiQdVYkhsQKeNEYtP3hM4hlcGqjK0sQUr6wVFIkoEsJMkLrFVsVi0xJUIMyKxKRCrlYuDUCmskQagiK5AJGVKZsI8dWQRGl/Gx8MdTjsg0klMsxb4kS+ShXQGZwQdI4EMkSV+aykIhheBgf4+r9YoYE5U1RSc9eLQ2pFDwjTEnYvZU0jL2XSFm5LI61VIXjF92TJsp4zBycXZNipmq2mEcrvBBMLETKp0YZGb0GSFiYW2rMuHpWs84DCyXi7Iyl6UAJ2KECFIpiOUhI1KR62QFSlhyzMiqobEN3eKUo7CCcaTrIt3yHBd6lK4Kjo8y0dqdHfCLv/RnefLJW3zjB+8RsqZdXiAQ9EPL4fQmjxfL7fkzlZVwiuwf3MG5DhEgug2kxI+WRO2wKaKqnKnslMoaNqszfLhbDrOieAUmVWBqYVpbGilRsqFnw2FjkVogNVvOb0YEjyQThMHomtWiZVppFmOZcidfHqo5Jur5lLZfI4zkeHHJ32yXTD++ZP/GITvzGX/6577Kd374Hj+8XpXVvy+LON+dw+hQStJMp5A8XbehqgvP/vG65e+/+ZinqwHvItZY5rMdfvrTL/Gr//A/52K4ZLU6L/GWUDL6oMnJE8MW9Ygg5cTl5Qq7nUbcmCjWg+N6sWazXiNkKdg4Roi2HGqDp2omuOC4Wi6wRlNXcw72Dzk7e0pOpX+wu3NI2y7K5Dd7Yirxmug8MQ8E52hVi+vawrFPBX+YUkLZspZsmhm3Du+wWJ7g3JqcIKgIUvHSnUPazYYwBCZixkuvf46PH71D8oEPP3qIdwNZlQ2aQhNTEUoJrfCuFLz2JrtM9g/BO56fHyGEoO9GRj8ilMDYKdYYum6NSAFrK8bkccNAEGW1XdcNaz0wEQ0pC5xPKAzKCqIeGMcN1k5ouxWTeg5hw8qN/Je/9hbd4IkuECiHVB8c0lQYNDKXAlcYBI2VhDTSUiILwzgCAnREAmwjnSmUzVZqJC7Bpx/s8e6ja1xVUcSPkjH7IiIT4L1n0kzQIpctisyENJBjMTZno9CmHJYmkxlNmlApiUueurFsuq6QNdJYthzWkGUixozOBms0KY00taHtHd6PCDTSWHZ3dpnPdji/OC+Md13KekIm6rpicBrXC+rKMNWGq/UKR6Fr+DDgfBFJxTgAiSxkwe2R6WMk+oIwlFkgRGbdjzw67fm//dqHnPUj16NBGMPNWwcsrh1j29O5gUYrfHCQEkpaPnVwi0Yp3n9+TIyFBiZQ21iIJ3cbLiWEGItcTEm0qenHBbu7c3bsLnKyw/LqKQ9jj4oZGfMfdDhi7JFCI4RHkGj7FpQh+0TcRh60svgw0rUddTNFIdEp4v1IipIhjsgkMMZytVgw+jMOpxXjsMKlnvn+AaarESqTw0BMiX4sk8XOOcTQ01QNWkuCG7FSb70iifl8yt1bB3z8yTFQXkPEEpOytipxBiE5ubpgSFCZmtE7xnYJWbB/8x7j2GKVpDMRXRf2dvLFITK6gbBKrGJGNRpTNzy5Gvibv/UBKYxcbCKec1zvSpQECZQNM1FglGAMgcvlmtdf/hRTZXl+fcnjy9NirBUwJMW0sgzOgyhT+/WyJ2qwTVOQhNnh25FF37M0V7CNMQmRkLIDoYhkBu9oXeLurQfMkVy2l/Q+lLJjPxJ0QiN4dnTKMPZU1uLGHqRg1Z4VVv66xMh6t+H0yTucK01VN6ToyB46tybJgqXMKRU8dmUZUsL7iA6BkAsm2tgJf+kv/kVOzy/4jd/+db734VuMLpKVKHGlXLpP5DJ1jymwaVuylMUvkDJSRBoZ2Z0LThYjUWpkVjQWjEhYo5lMK2ZNw7RRNEbifQXdBieKfXdiBQd7Db3TTINiWAeenY0MPrC3Y1ke91S1ZRx7ktLkdfF3iJQRyYM2xXmiBcEnKqVQzYR2WFE3EypTZH/ZajbdNXVtOZhWEAIv7s/4pZ94la/+xBd4eHTO4te/ydn5mv0buyzDmsX1NSEFBGXQSpBkIZhOG24c3ubk7BREwbRO6hofJcE5tLEY3ZBVoutW9M6htWIyU9y6fYvHjz8pE3hhMWaOIjC4DdYk2kWPtYaud4h8gWD7et8+rypvC1RAVdy+c4ezi+NS0tY7YNZkUWhqpBIfij5xcOse7dUxX//2u2z8iBEaKwzBJCKJmCOVNazXHbOJZafZ4eXXv8L11QkXi3Nie1028sitmfm/Ow//h/36Qx/i63pKig5jJSEGUhZoXfTaInhUPWMcB2IIKCu4vjxCWUVd7+DGASnKnykyg6IHN6rUc3OCduxQeouVpIw9hVAoZTjc2yP4kcv+iiQEKhuEKVlRIxQ5CjA1Y1+ypEqUdWtlZGllS0uUgtl8glITri+vChpPmELG0WUtbLTh8fPjbe7ZgIiIFJFCFDaIFIzOI5Xa/jmxHX9KyJm9+R1u3bzPB5/8ACV3qOsJKQne++CDIp7au01QBp08buywosLIiig7Yi6k90lTl4ObKybGmBK2mhP7FT+ywObt5C0pqLLAx4TKBuczMfiiS5e6fCClwGLtGR5/gKlq2mFNzhFy+TkbXSGAIOB3f3DCe+99gk+Fb+59D0rSrjdsXIe2hts3HzC0Lev2kru3P0PInm6zIoWhfPhtsWNGSZIQCMAISDGx6UeSMXz8dMWDWzXvPzvlk9M7qLcv6GNi2SfW644YN1RWcWdf0LWOtsuEMOCHwmJNKvLJo8dYWbKYIggm1RwhMkMcMapknn0MfOa113Bd4PHpEd57onC0Z6ckAe0ASUiE0ZD1Nk8e0HFAa0sznbFpl7ywe8DFOOIpuMDrVcumH0gqM92bszvb5XK54qOjR5xfHrPwRW+fy2KeMQ5IocvPJDms3aOe7bBenhO8I8mK1++8wF96ac4PT8742uMF6zAiRJHkSCEZfcAYQT2dUk3m+GXJFToXmTaWFARGSPo0kl1merjH4DrGMBRqhi+v7+C2SEJT0eet26Ak2xnHQAqC3AVspbFGMZvvcuPGHT768E36bkEjLcElvvuD9xhCJueRlBwuDigRGfLAvZ05y03Hp+6+ztHJMcPQom1xKtipKSi1lErvYvQofPneYiRGj5EaW9XcOLjN7Vt3+M5b30YKybB9T4hUynxKKc6Oz0iq+oPokBQKaTIpjqRoufZn2Krm1s199vd3+fD9TelFXK0xyZCELKhYo7BmXi4Sw5amIzMxOjonme9UKFsxjgohxkKWcAprG1Blwi7ICOeJbuDOrZv8sS+/xmdfHviN733IYtWxHIYS4YolPxncSJKlZNf1a5rJDJWr4sowCh9L7Aal6foVO80EgWH0Aym5MghxDqtrpJL4XC4ZMkfcMNIOjkll6IauxGlE+flOp/s8eOEuv/BTv0Q1nXK+3HB2csXV8klZHQdPoxsOdg8Zx0t+8Rd+nrfe+ZAPHn9CykCWKGupjS6HZ6GQpliHXQ5lcGNKCV0KEEIgteWiG7nqPd32sJRSZHAeLTUpDogsKEmzsjkSMnHVlmGMTwGRRZlWjx5rG6qqoOU2yzXCFKv2zCquVyumO1P8pkXcvM/t/Smfvyn4zkdPMbKmqTTt6Bm9Y2c+J0XJanOFlhqhIjs7M64vAiJJqsqQUkTqXPLwytLUiovLi/LsjqWgO5/vcbl4jjIBJQVBVvzwybsoK1mvO0iBRlpMvccqLCG7QqgxqmzXBIyuHNCNVcz351wv16yXLe1QLn6lEDnSmIqplSzXXcF4IiEJ2m7AuzUpJ5qmIgfw7YiZa4aNo+/WxeCrJV4VE3LOhaKyv/8iY1jjhxFF5mTVE/GMrpRIfwQvmNiaNjm6EMkxobOmMYYsJJ88P+Hi/ITRF3JM37eF5y8lQ98RAaUtIXiyKUQ6mTJJZnKQpbioBT525fVhElJ6jDBIWbLT0Scms4bN6oI/9uM/wXc/2rA4XSJSAhlpzJSZhtXYohT4FLaSHoCB0Tmij0XgUxVrvMi5+BdS2bIjUsmE+4GEQ00qbt++y9Hz52SVETJCLPheS6TtWtp1R0oC710RQAlDzKnEgnVx2jjvUVqhjSULifcDdluQns0VLkpWm4Gd2YyZllhl8SpjpKRWGqszhzPL/VuHrDbw5DzSupGcB1J2IDKN3mFqM4tqDSkx9JHJVKMqAz4j0VvbcODgYIfNYg3VjBhHpMhUtmGIHhdawnogRsd0PuPB3j5feOEOv/bWW2AMHzxb8l/8g29S1YqXbt1F1Zbp/pS9buCgqpjKzLPzU1L0TKpif09JElJkb6dB5Qn92HJ+eo6PxdkQQqAf+2I6FaCEYH++Rx/GbbyplFBX7Yr2UUcVEofTfTrXk3SmsRU5erQRDC6T449iwp4sFTYbhK4Ye4dLopylkuPy+gQ3dGRpmdZFOBZiQMvtpTlnYnA8f/YBQgvWfVukpzqyDhGJZKIrpKh4/dUv8ujxh6w2V9y9/Sn+5C/8Gf7u3//rDO2S7ByRzMRYpKpo6YH/4Qf5P/Qh3o0dUktC/BHyICJkRgmNT5Hou8Lk1lszYw40yuD6dot1KnlMrQSzbUl29CPGluhHLvgQaj2lDw4Zf/TwhovrK24ePmA6KZPM0Xt25vt4H8gikqTgYHqbZTqGWBS+SEMUCWPKxPry8hJkAq5KQUFmlAiEALWdMEbPmAJWKlIuWXw7KQ8cIQV+LJOBqqqpq5r1ZkmWmhATIRbDa1OXKZVWAq1q+sGzf2BJYkaOAmMH5mZOO3SMnWfdDxjToFVFip4kYNW3KBTaCFyKpJTpuxYpt9QVBFImQJQXaM5oLXEiFmVwhqqZoNFgBT5o3NARx2uE0wz9iFAFNyeTwMgKlzp87PiN3/77rBYbAiMgiTFipSgNbteTyVxfPy8Wxiy4uj4m5hY3FqxmDuWACBTKgipxCTd0dN0ajKauFF//3nP+0//ZV/jmm0d89+1HPDteMUbPo6dP+fj5OZvWMWssf+FPvcqvf+MZYyiz/b3d2/TtAqkh+bLW/sk3Psvrc8GHV5FrecDxxScsL8+Y1Q1jDpxfnZKGkiUNPhL0QNcFcsr846/9BlEmbt99wPn5OdGV13hRQ0fWywuyNJxsrgm5TEzWXemASClR28n03fv3OD37Ll/7+m9Q65qdSUPbj6Ttw9qaEifxQ4exReTUDScF5yUylsTHx8/525trWt/RivLzDyFidcFRhaiQW+tr7SUv3rnN5eWStt2QRM/lshT0lDAkMscnH6K0RKotESpLYgwoAVZpQvJEGVG1Io+BlPLWuAneeYLo0DLz+JM3GcZAzCMiW1Iu1s3O55KBToUzn+Oa3aZmdJHWOaSY8NK9LyGo+ODjt9HWksJAt2xJsTjvXNgwdB1WZ7Q2JcvYKPKQ2K3nLNaXHJ8+xgdfNmXEIkoRkpxLfjgaCGPHjf077Fr4sXsND6/WPL0sl+4QR0I/cuPFF3njs2/w9Okp3pcPChcpxThT5B45RUIKzKqGPvTcnilcsiz6SAqJnD3jsN375ogUkX4s02uSQ2pDEIa+61kvW9765JRlF/Gh5+c+84BvPDzhYrMq0YUs8QhC7GmDJWvFul+jt0UNoUu8TssaKzVRWjZtB3FNU0/wSiONZPQD1aTB2oqr5RkyQFPViKZ0VKIvLg2lNUJqlEl4L6h3D/nsl3+K6c4u333vO0x2pri0R9cuKFV1x/X6OSlmPnl6SedBo8nJkXWJqyldYWqFJpKEpcqykDtSYdMnK4v9FlXABAR8KoUupQRZSMauZRQRpEHlguZtlOXWzg5X7TWboS1Y4ZjRIjBGibEV3jtEyqhtATH4yK2be/zsj73Br3/jLSZ2TtSO69UTNn3iwky46gZmVtDFgSwthMjY9UhlqWyF8yUff321RElLpQqG1LuEMRo720HqKd3YEnNG5MKyVdLgXYeSApETQtas+yIwGjqP0S2HN19gPttjcX5EDg6risFVWUl0nrnZYTH05ORYtgP92GIVSF0TYsRqW16DQoES9K7YqxEZpXLpn6UNk7qmrnYYx2sikev1KWowaFGhZCLlzKya4cZrRJYobVFKMZ02rM6umE9mrLsrVNaA4WA+oXMO5zb8xIsvsug6nly2W8GhQuuaYVxjxoGT43PWacBQ7Mpaw6RqiEEg0ri1VqsSByt6CD7z+hcZx5FPnr4LKeCDx8qKpBMxC5SxSAIh9IjKIGNi6Je46PlHX/8dIokky/ZG6synblh+5dU7/J03n/HooqVq5mjd48OAMQKQZJm4c3hI267o41AisMISRSTrxGS2CyERvUOFhpgdR0fHIASNrvBjgUKE4BnUwD/6p/8Ea8plLyeFUoUZbnXNi7cPeXZ6ViKZRoEsA0ZELp8LORTXjjSQtgVNExljoHWJvQxSarStsbbhYOcW927fZjYbuW43XC42iBQIviP6kRA3SOGY1TXDpiNEgZUWIR2Tpma5WRdUccrs79/k1Rdf5Vs//B4zqdnbr7haDYgkSaZE1UiJ5cUV93fnvHf2nOVqwadefpl5s8vz8+fMMdRdz1sfPKUfR55fd3x4esHVMNIuOwY3Ym2xlLqQULLiJz73eZ4enfPkfImsp6TlCFohVcC5AaQshtfoOF+clNhb8oSYuXvjJiGDMRVDu+DTL7zC8dkxdv8OyyEg+odU1RwXVhDLeUSiaKqavu8BjVZbxDO5nB/jSNU0+GHE+zX7ewc8v1oRZSbGgDUKP6QCEhgtUmvq6YSd6R4X55fkXMrrWkceP/0I7zpyllxcnvJf/1d/nev1+Xa76JlWUzrnmUhVcNx/BF9/eDqNMQhEsTOqEh0pNJoBaTSuG5lMGlwovO8EJDRCZITIyCTIshxCFsslklJEHL3DaoOWuuTLrEAFhxcRkQrJJcTEYn2JSKJMf0Tkcn1BziXyYoRGEvjsKz/Gux9/j5ygEoWpHXwoFi21nTImRW0NRmXGMAKZEEZq2+ADeD+itqpoN45Mqppu6AqGkUTMga7bIETJ1wshQAoqK3lw64D3PnyKEBJyi8ySoYsMQ4dC8cd/+U/w4QdPePejhyhliXkkREeOgno6xyrJer1ASIHzASEMdaUIAWLweO/wmTLpCR5pizkwiu2EMgekEoSxxWdDzh6UpG4mhUuLKPEiCeM4UlU1/bguUqacWa+v8DEXDB+yTNZF6R3kHEGUyIFSihwDKQ3bB49HSo2PDilhVleknBj7sqarqqpk54HgM59ceL72nWf8e//mff4//+wZbz98jHMbFssrxjFQi8S/+8v3UBLe/khQ64ZuWJcMLpEqwyAUlZ7QaMuvvLHPp/yL7H713+cf/OP/F1//nb8HUnFzbiEE9nYmPD47pUsCUnEJECNBOFSQxMExURZnRlIuReBKWhKZSgTu37zD1WbFYtkSfaBuGuZ1xWK1oELy/e9/b4tZ1Bwc3EBpyfXqipFIo3e3xAqHixDGUvKyotzBpVCkIJFK0s5e4Oz0IUpqZvMZzkdu3nmB58+fokOJufixRzaWmwdTnp+clK1YKM4AoyQoMEpvnQM1oW/LxEypwrOPidEPCAm1Nnz1S1/ho0dPOT45RYhMChGtJEZpGmvp+0054KdMxYDXBqQl+A5RmWL3FJovv/wqlYHLTcf11SWVqfjtb/0aKRY6jJURPTH0gyQqT4hlG2eNQhiFHwLaatxQ5FznqwUZX+hJGqZNsfnJUBjEUmmq2mBz5t5hzc4MPnP3kAd7NW8/u0DONLfmN1g/fUpS8NHTp5x3I8VPW0QmLviyMZEZLSVKFSFN322oa8nhjZssl46z61OwGrZ5+Mn8gOB7QloXRbfUJFERnEdLQzaGR+eXPLtacrB3D6HvcNrViAy1KrGwichErTFK0EVHCpLK1EyMYhgcWQlEpXHOIZQl+FAY3lLQ7N9mKiyTJnJ6csI4lvIwURFToI89SYqyBo6CpDJjGGikZaIrkoLnl8d87bf+Obae8uzJx6w251Q20ncCkQQH0x2a6QEiB27e3OPZxRmRjK4rcvZMpSHoihs3bnL07DHz+YRhuUIgQCZChlpOycEhYykABZGYVg2td1RaY3Iiy6ZsA66OCltZWXRluep7XFaEkJFqLNSiDLWxUFnCOCBypFGaiMImwVdev80rtyZI6blcXOL8ULaS2tDFHlVNuHn7NY7PP8FqxWJ5RVCSqqqpckUmgfOkmLGTXKam0YJNxe/herx3NJVB27LZkAiiH4lJMJvu4X1PP3qkEdSmwcgp0jrMNi5zvbksWV6tSm8hKRqpkXkk51CK3VqSU43RhsODO6zbBV2/RBtJM5kSQk/bOZQsnZHgA/f2X2A9LGh7x07TIM2aZn+HZydX5JRwYkRmgZSRZd+hjCW4gmsMMfHs2UfMZ3OUVkhsiX9Zwf6O5EDOubyASTXlct1z/+VXePb8+RZpC9PdO4Sxpxt7yBEvIJPQ1hbyzPgjTDI4N4IITGc3SDFwfPq8DOaGDdbW1PUMmQU+JXJ0uKEniBLJsjnjiTS6IqVAjJ5bd19g0bZUZgqxZdMOXAwDY4QkI6NfkmIqEIixeCqsnXB2cUlKJdqoFSRfPh8n9Q7/+p/7n9P2A//tr/4NptMJ6/UZSRYQhcgCaXSZ5mdJipm6run7NZlcojOAyAk3Djw9Pin+G6kRSZJDyWxnthdXY0ipbNyVykwrhQ+SVM0JsmztBudI0hIwXG4c08srYixWeaFkQVNHydglvBvpXF8GBATqSSYLw7wpqMz93R3a0ZEIrNZdqdqFzPxgl/s35nTtYwavyT6gZekBSKN4+1ExoeqmoV2v2K8sn39wQB8Cy+WC33vH8+4nF6yGyNHlFYtNj/dFxtg5x/3b+9zav8G773/E1dUxOSe0rejGAaE0O9N9uvYCOxUEoDITFssFdaWwAhIlmiSzIrmeIQayqvj2x2+hiFTjgBDwb3/5Nb71ZMFiVfbgSQn2p3Pu3rnF2x8+BNfT1JbQZYSoSCkztg5MZlobYoi044Cyljg46knNODgqpdE/KoTHnnY9MDE3CbkISY3VpY82XuCcLwjdLDi7fERyCTQYpWiHQpQbsiuJk/8xD/HG1FRac7W4RFlJkhB9RBtFzIIIjC6Um2bKaGOY37jJ5dlzcnagC2dTpDIdE4ISR9lSl4qZNKNiYmqmbIY1prH4FBEIgu+Z1BYhKoIrmTYhFX0/IoRHyRUnF4HPvHif6+U1R1cXBa8mFcGXi0fJnDqE0rTjQMr8werEb1bMZlPGFMm5ZOuNgK7tUVX55aaUIQQmtSUnSb/9ZTWNZhgdxydrbh2+zOnyKXUleeX+fT765IicN4wh8OH7z2jXHWRBSqUYhlAorZnP9+nWSzIRLQU6Q4iFzSxkQcAZWxT2hUwkMFXFpJrhxjWbtggRdnfmCAKLtmfW1LRtT+cjcrtC29mZURnDYtUVRFfyCAQXF+cU+6pCqAYrEm7siRmMsvhcYhcSUbK/OZTMI5D9mhASBzv3GH1HyIURO53Ny81agFRlgppCMQb+o6+dYpTmP/1rL/EP/+Vj3nqv5bC2PLg14xd/9gHL1vF/+ZvvMcSK4BzGNGy6BSk6Vj6hpaB1jm++/TYMd2DHcCv9K84uHpZ4h3e8eOcB7z58zPlyRT84SJkUHdSmIAZTLFuk60vqpkGSUBmmdodhLOvfIQbW7ZrsJbWxOOf57K0X+PnPvsw//ObvcbpeoXPh/gtTMdu7xcfPPsSnVGgMviO6UDjA0mNy0XkbWxPyyMwaun4k2Yqx7yBK3BCplKJWmsuzS4Iv/ZG5rdnZucXx+oJHj89RqbC3iR5QCGmoFNy+fZfjo2OCL5nLpLaxme2ESKJw0aGCoB87tAdSZhxGtDQlKhIT682GEAIxZxoh+anb+0RR8Y2zC0KKVLE8PrJMvHd2yWrT4cZiZIgikcaWkCK70zlGJmbz2/zEF17l7Xe/zfn1Eqktk8kOrlsijaWpbCku5Uw7OrTWKKlIMZJdMZqW6icIWXj4u3XDX/nSSySv+WfH5/zjdz9B5oCtJzx9+hwRI7bS3Lz1Av3gCMFjtSKOI+hyQy0HtMjataSssFYgzYSf+8Vf4dnTU5782j9h9B6rJCnHEllIDiGKgTS4gMxgqwkvvPASvo8cP38fsmV3fhdRKZY5MeTyrHMk9mYTYudKkVNJRu8hKYYoGXPCSInOoFKmXV2glSxiFuDs+cdURrOQFWSNJHJ1eYoQiUQixdKTaeoJPieyL7n/GAtOVYSBxfPHfP23/htW40AYHMTMcrMgCU2Mma53RDEghOPho4eI5MlEYo5Mm4qvvvYG33zvfY6ePiY6zyJuqE1F78YiQxHlw39GzX/wuRf43tkVP2xb7uzc4f3TY7rBcfv+LcQAV4ND6IK1i96hK2gH9wdo2jD0KAxCU3L72WxjDwK0xEqBpKbzke++9Zw0lKhn8Bq0IMmIEoUIcn59jMylIFtVFRgJ3m+L7aXToJVECENAF9V7lXBtj4gS2xji0FEbW1CPBGa7U3bnu1xeLPDO09QWJSXj0CGUJg1wevQJz+JQpudoUiyHwJgSSWouNyPTyYShKs8ppRI5l0m3TP//S0w3dJii0S7UlAxCS0ieSks2InB2/QyrE51zHO7OOb+4IlEMlUqrEqcYQWoDKSFTGdK8cHCHo7On3JruIHLG1w0/+eX7fPblO/zjr/2Qd56fsepavvKpl7hcLumWa5TU7M1uMeoV58MTjLIgJGLr6XCDp5nOiUmQuxYjIWJYd2ty8LSuQynJbDJDSM2665ApIrVhPp1zfX1Ntpm89QbUZlY8C9JszbUbJPC5z3+Fbn3N6dFj/sn75wyhRE7HcWBSWxCKRGHoN9UO6/GURCL6TD2pC2QDTUyCi4uOy/MTgu9o+w1yK05TWTG6niBBG4MPAzKW37O1inGMZVMpBUbXJFnOEi46mr19tHesFyPK+i1TPTE4j1KKti+xit35lOdXievVkondoQ+WbnR0rWfaJK7aNfGo3fZMQhGOJejHRDcMdBtP6wfaNtDozHRas1Pf4PMvz/nm29/HIMgigXIcnTzhRBdPyXm74fDWbe7evMfDoyNM1WCkxVlXCFHOY6q74DpyCnz2fs2/84tf4MnVmr/1te/z3scnxZXgygYuJ0VUntGNBOd5+vyKPO6AmvH2o2Nu3X6NezdvcPT8IaOOqNjz2Rdf5aPjj+ndSB56BAqfwYfSeXjpcIrJnouhIxsFShfwSYYh9tRa8d46ctSt0ARyUPhYyvW9K1s+lSSuc1RmQkgCYyRowTgmgirvx82mJ+REDI6+L6kDRGZmGrq0phIa7wPPL8/wIWK0LXE5YxlCwpia4B19dOzsHDCmBSplpGrQ0pFiIOQ/Grwk/PeQPR3u7BNiwKWIUrCzM2GzLhIObSquF5dIbUixYM2U1OVBLgRZeFwfMcZycOMG3dAVlrGE0XtUpogIyOw1h9y9eYt3H32AVhKEQ+VMXc3QWREStOO6rECVIgbHGAJCCoQpUYgybSzNcKMtWqliUM0ZnxO1LohK70Z8CORcppdsH7Hzpik5K0CJGoQgKYeOitv37/Cl117md7/1DicXZ6VotaXUWGmo7RQXN/R9z2Q6YxwcKTju3thhtepZx+KRktus3mw6p55UrJcd3geE9OxMJyQfaX0gJVHyYinh40h0nqwtWhUx1u5sh+gC67HFGF06C8HjxowSeWv4lIiUSLJY9ow2EDNKSyIQXbkdkgR+u+IxssQyYgxooQipCFwgY7QmJoc1O2ip6fw1MQp254esN9cIGRAoZtUEVKTb9OVnSBHYVGZS4hBx5PUXJ/ziT9zi/p0pdWN5frLhN37/iB98sCAlQ5ZFviQRSFWkOErvMLoVVT0hhMDr916k9Y6273jjxft8+PyYy4sLpAwIrXEukhBb9FxE6Jr5rGK13kBSaGtpdM2NpuLl+7e4WHe88+gToncEXXoZlVBgAn5IfOrwRb702mv8zvtvcnF9hhKWerZDzIEUMiE4KlUTYwvalAd/8BhTkSKIXKyrPgWULNm/TMXdWy9zevqEkPvCf0+ZIIpXwRrFj7/6Gn0fuE6Kmzs3+eFHbzIM63JxjonZzBLdyM7ePhLN2enxFqGlQSfymBEyMTN1uSCmgKoMImX8VrBjlEHmhLYzptawXl9DTrgUOWg0jZY87wKV0YSiASCMfmvRg5gcRk5QNuET7M72+cqP/wxvv/l7TOsJxs64XpxzvbzAB8e0bvDjgEejrEBu6U8xZIQCVWkIGRkTXhZyihapYLKloEJxozaEFDkbIlkpchyx0pZMqrQkVdCc2Tv6MGK0QpT/WypTFZnLFv0nEQglkVbxxc99nvPTC46fH2OURIiyYlbCFtW691RW42Mm5gg5U6kKpCb6DVJPqM2UbrxG6BpNUct/7os/xrvvfR+RPdE7hMwlGogi5/JanRiJMgqZJwy+xwWHyJARNGZCTKWkZY0m+rD1NeTiF8q6vE/ICKUYfNhOCAuP3RpJZWtu3LjPk6NnJJ8JORDSgEJRq4osQaZyoL139wbXznFydIRCYKuKnemcxbrFhbGgEs0MJVKxKmbYxI5K1ygBf+bBLY7bDe+crclCoSpDyJJKS3amOzgHq/YKXSnaVY8Qidpa1mNLpQ2EhMgWR4Dki/3TaKTS22eCJiZQWm3NzoGswGpDTnlr+o74HNnP8LnbNzje9CxTRTWdcGM6QSN4++lDVkOPiILDgzvcvfOAZ48fsticU9uKRCJnSU4lUSVlIqRt5j9D8AlrKqQyBO8ZfVc+e2QpQOeYkKYiRgjZo3ICFDl5pKpRUhKyJwjJpKqJfkDkGi0cURiU0mA1wnmcH4jBlU6WVoDAaL2N/QmCH0HC/u4um3WPyJ57u3NOlxtirfHbD6IsIkqUy470ihg7dmY3iv26lhiRuLMz58OjM9pNj7IVL7z8aT7+4PsYW/HgwZeoRMX7H/1+IX1IiRYSaSqUkAQf2N29xditGcc1ykoqNWXZXiGkRutMoyyjL6jjMXgqU+I2WZRtxXQ6oTEFL3xrvyACQy6bcU35TJtvaSWFaQ4HNw54enTKECKVrRjHvnxejFtIBWF7EdeYH03Dg0eZGRJNSAMSCH4AKYhErCheD5fLlDq4kXsHNxCV4XxxRY6ZkBIyZ6azGZtNR0r+D2JH0Q/cqSuuvCcag5UgKYe73Z0p/94v7/H4aM3vvacRMjHfnXF7/4Dd+ZSbt+5x//YB+5Oa2khy9mzajvPlmuViyfnVwPnlgvPzBavgGMYNn7mT+Qu/cJf/8994SD2bc3pxhe8c5ICxFh8KIY3tYOHG/h5OJPo+MJ/MyFmyWF+Qo6OSiigbQvTcmVv+8i+8yv/ir/wJjp5f8p/93d/i9z9Y0g+Jpppz/0bDSbfgetGWjLuLZCkw1YTKWkJwzGcHDH3PYn2BVRKrNbu7N7BZ8vzyAragiWY6IUZHComdaUVysIm+vN6VJfmBKDNZ1QgRi33WVgx9T46lzKqULkNiEk0zw42hlJg1pCBQJeVUUg3bmFrmRwQshcixUIqyAJmRukYgULZInFIoyQ2EwjlPZXSxIsfEfL6Hd10RXanS6dDG4uKIGwZS+u8+zP+Ryp6ylZhoCX0PUtP1mdn8gPXyGjeWOIcxirh9YwlKsTAAxiisBQFsli111TDd2+FqeQHJ8+deu89ViHzn+RlB9FytLzAKalvRDxkvIk3V8PLBK7SbCx5f96V4mTNJQl3VJBEJITKMDqxESIHcroOSyDRGl4fKOBKzRwldDF9KA6Kk+FIiJ0GKGWM0fRTs1LsYqbhcn5KU4urymrcyLFYLalsRRCnuiAzdsGHTr9BKIoVlvdqQgb264fMvvcq7j56w2ay2qCpRDv6NRQrwY1coGUlytVijtMZUitR7RKoQqZhPoUw5YkoYbRnHjhh9KQsGX4phKYKQBCmoTYVQhSnQtz1Sl9KnkgYtDFVlcWKNqfbRWrJpr8rhPxT5S9quwoXM5cMoZ5Q0xcKblvR9LqbW6ZzV8ooM27xgZD323LixR20Edw+nfPz4gi5mSAmrwOiah08dDx8fkbPjYHeP1XqNE+C9QBsQUuKDI28vhSizfS0Vfbepaj54+oiIp7YVb37yCTf3btLcqli1axbtghQik7ohkKAyVEoTfWJWzVm1G7xzNKri1sE+v/KFL/Gbb7/N21CMkVkhUmQMAzKXgtUnqzO6J1NaL1HSolXmxu5NhvGai8Vl+XmJCVkrgh+pK0sfiw48iYCXCpkD1XTKXjPh4uqaJCLPzx4iicUK6SOVsXjfE2Kkam5y3itOTp/SD55zc4z3G5QMRaWdBVpWUFkWFyt29/aojCUgy2vBD+zU00IhkYLsNzRaMZs0XFy3VKpGRk8gU9mau/c+w7yyfPDo2xAFOQwspeRyLBePfhzIGHb3Dggm0vdLUvZMmh1u3n6N87MPISU2bcezZ4+5WC1YDR11c0XXFilVinB3d8rJKhDbjKl2ESJRCYHbdAyhJ4wlc6+29VuTFLkW2CAYY6RNAWKNSCWr76Fs6xJkUQquIWZ6H7DKAMVyqLLhtRf2ubc74a2PT1iNiajDtjvgscLw/jvv4VyPlApkZhg8ptJIK/CDJ6WAsTPmteV8cVU2dTLhR4fQxXY6UwolqhIrSB6RDUfHH5OyByGISkMI2yJ/RMiCmx2SQrtIjptCBjMKEQMTbVBWkn1E+TItEqQyhMiCKPJ2ctWgRIWPA01jSpZaSGI/MGRPFJJnzx+Tk2QynbHanCNS4ubeDj/z1V/g8clT3vvwXXwa+OjJEwICawwyRnIIXC4u8ZTino+JWkv2Dl7i6PhdZC6XTikjMUp+/fgaoTST/VusLi6IYYQMdneX0fcYMyNlGDcjxpRM8a3Dm7jzgHcOJQz3bn8KVRlOTz7EO4dLiSTKhSFuzZvZS3SOoDXl2JWQSDbtwN58Ciny5Rd3+Dc+e4f/5zc/5HIwvH5zzl/6xU/z9GTJk8un9INj9I6uX7K7M+EoF4P2GEaqumZn55DrxQqRHTEIpvWUrt8Qi1CaGCMuBKJ0WFuKjlKZcuFNiew9UkmMgBgzZIXSohDJnCsXeiGQdaHTROmIEV584T45a7wWHD9+ByHAVIqcZOFQI8qWRfbgJUYaRJW5ulqhVUOWcD0OuJSIfUTojPclTlo3FagSYVHS0piGad3w6PQDtDGcXizJ2010HgeeP35ITgnvRz5+8jYqZDIeoXSxDOeEGBxjKiDv5eJpEYEJwU995ee5f/tF/umv/3/RVY1fL2llQOhMiAEjy2fHvZ0JPnsuWsXQDXhREMbHZ8/JaKQo00whDSoFXHeFD6aU64fIs+dnJAlSREbXkpNg6FvkdiuplaLRFaMo/z3DNhs/kIwkxAEhJMbU5DhibENOHpETRihiEkRZipov7t7h5PySSCn7SmUY+g3kYv1VUmAl9GT2qgoX4XocSboUPoXs8DHxW9/1/Ad/8WW+/f4RPs/o2pHNpMVWluvrS3LsGPZnpUjsPdfrlsWqpRsc69Gzzok2RPywQWXHn/35B3ztm8+47jrMGDEx4rdbkmpiSJuhmFClRBvLerVgiI6mMcSQ8U5QSVMMyUSs8Ygc6IPkWx9dIf/Ob7EYE882CdtIunZApY6ff+ll/tVDx5lbkLd0Oi0kwXeEoSuR6q4nS4XKkp3K0rnE2eWCLDyZzEQ0aGUQuSnCpXFJ2CRsvYvre+bTObY2EC3X11fUVeCLL32eD44/oXNtiazZ0rO5efMBi/Upzvd04xqRC8wgJYmSClBFF7fF66LK4C5nT9iarCeTWVEi+XH7XIE6SdpYcK/OeYiew50Zbdfxyisvc3R0yrBZb/sPxVAsjGI6n0EX8e5HYJT/YV9/6EN8jIkxl2xgHj3JCK79FYpSVDJaF/ufjyQh+Mz9B7S+48nZGTvVDl948AK/++6btEOiDwPzNCUQEUpzbm4gmwnpyRlKC9ZdR1NNECJT1QbnE9YYLjbXXF4/LyZXCcEXKceQHCC234ck5nL4g4gUmRgCSUtSltTVjM16gZQjOYMSW61uVsxnh1RNxfnZMQrB/v4uzjtW/UgCvO8ZXWa5WsGWbiNkQQulJJFCopVFiIhzjqquSC7hiXzjvY9Zt+UX2lQz5HxOu77k9Px82wcQpJIxIqdSAGo3PUYafPAMvi9ryu3B8HB+g6wUQ3dNTJmqbkrWO0WSkGSRCL6IQZq6Ym9nTlsNjG6k73qQidG1RNeX1VNe4qUlOkAHEAYfIlprjDRshhaB43C2yxuf/jRvfvAR7cajFIUX312XKWKWRJfJOSJy5OriiqbWPDlfIiqLDgE39mRKXtfFIq6yWuMT9DnRyIpRB7TRRUtdKPqFLpMjsGIcHVJXkAZilsSYGYXHRUG+OCmHpAyVNXThR1GMzGRWETYDnXNoO0HLso1oY8fDsxP+7u/+Hk+vzjBKIGRF60b2astPP7jLt59esVwPhNxzdPQ+ujYkkZnOd9iMCxaLJRnD4c0d7t94ia495unJCQJFXTWEnAkxcXdSUU/3ON1sigwiZ1IKZYomNfPJnL7rGYYRoS2VhqFf8+ToISFnnG9JecDnhEIW/rKLrFZtYQLHxGq9RGqFzhRZjJC8cOsGbRKcXZwy05pf+fwLfHg5cHnd4rbvqRwCm+i4OntCX0/xvcdT4jrWS4ya4/yGlDTKKNLoqKsZfVqhRFUibqsLFIoYOgIDH73/JspqZvMJxkgWF2ekCFkqnl53BA+eSB0Sg++ojEVKhdGFeuHTyJ1Zzb/1xgv83tMrfnC2Lu4GUcqVmUiIuXRRUiojBJELDpaERGGqKTklZA5ECdYI3jjc5efeuMvF+UDr1wQfkSKhRMaPIykJaq3xFESnEAXfSdeSskBIwedefRXnPefX11hVM3SemzdukULPqh8QxnGwd4huZhwdfcIQEuvVgugdO4e3UbJmcf6EsFW/SykJCazMZClRxpT8N2XCmlFMZgdsLo/RMwsp4ceEzHD71kscHhzywUdvcrh3m9dfeYPvvfVNvAx0zpFjsSLWdspqvWI2scQkGJzASk2qJJNJw2uvPKAfVrybiw05y4RA8trd29yezXl0cclmHLjcbAr1hoDMhuvrU1SqqGymmhquFiuslfRDixQVJhnQFByv0nS+FILHUPLEIhcJGkbxydMnCKOQ0hBioG+X6FAOFEJkdndmdONITqFkkaWmaebQrxhTeS3kUhBB50QYB3KCjy8G/svf/YjnfWSg5cnJCW89nNP5hNGUA5o1dO2Gt9/5Pqt+Q20tbVfK3+vFGTiHywKlKjbtgiwyOWa0VNhKEraCH5IpsraUSaJcK0QqkR2pQGiFSZkIZSKuywS6UuDGFp8jRoiy4cqJ66sjfBwwpkwHDRJfjIb4LSJ2vrNPzwqZISVJZRTESIqwWAeSLPExayTGWLwLuHEkBVGERkJxsTzlYp1LCXkEyCSpiAKESCjZI7Sk0g23bs549uyckEuXRatEzpRJtygEtOAz0mhEEnzw0UccPX9GSpHQbvBEpDTFmprK4Wh/ovhf/5kv8MH5mr/x9Q8IIXHjxozLxZqYYdpMyXmg8z05e+qmLiJUqQjRkXKJvkybhuvhqkTeREHGSquwpgKR6XtPFiUqoc2ERld84bVXeXTynIurMu3NuDLYC2679LDEMCJFxEjBqu9559FHZdiVYDJrGPuBkMBUNYP3qCRJISOF4sPVepsYkAy+vHZrXeG95+2HjuvlyFc+o/ntNztSklxctSUWMib6bkO7uMJoi8iJ1TDSx4jIim7s2HQdyXeEGPncyxWzSvJ7b12QgkTHyBdf3Od7z67xaH7qi1/h4aOPeX5+Rs6ioKAFHMz32HQb2mFNQpaCcmVwg4ehDBmiSLz96DmPTzZEMjdu7jGze5yxYRkj/+B7b3GxGQjJoaQikDC6pnN96Q/JQh9MKSKM4LofqKsJM23ZuIJ8jUlSa83B/pxnlwsm9YTsIsn31NWEyeyQdnPBMLRkJcnScuUDXUg455AiIaQgJs16vcCPkZBLQb1EsQVGN0RXfq+pj9iZRZgKbeoyi68bTF2zuL6k67piJpcZkQr2c90PaKVJIZSNkBSsx5akJWfXF9SVZWJrxuSYTPZYXF0yuhaZE3VTM2pHDPF/vEN8P3RYbRECqsmcTd8WVqxQJbIwDghR0E0RwfPFOS4VXuqQE48urkBbZPaQoBs3WCQuBd55VnTSdtqQfCFEGG2YNRMuVktEziyX11zHS0SOpCQQJSdQIi+UN4nWiulsj6qaMCSHaxdFjiEUikA9mSLrGWEcCThkUsSYme7uk3zAh4TyAhBEmeh8z9AVHqwUGZcVmlR44bFMMVIS+GgQMpTLQvIYq5AKYgwIq+l9QOYRIUoO2/kik4kxgaJcJlTFxFZ0Q4dVhmEciAmESiQVyBRZDhKi89tynmE5ZPb25rRDKe+kMBRToxbFGklgDD11fQOsZLx0RbKTE5NJgyexaQPkAOOI1RYfMjENSCXLA8KP2LrGjT3OJz74+JNyIUGQc6YbPFZlMoEsBLWuCkVEWoQQDMPI6A3DMFBXDSJFdpodhNY0OXK9vCCEwPnVBUJp9m7cZLw4RiBROWOUwSdfcmUpMIzFOxAD9C5v30AJ4SUHuxO8AJNq1u0SH0r/IoqMQjO0I5Ky8u3GDbXSxQzsAxfuimXfIyh5VEKiVgX19cVXXsGJQ3745GN671BK87Nf+RIfPHpcNjdS8uIbX+b0/DE0iqurY16/X/Ha4Qv88OmG05XDxMSkzvyln3yZfHCb//pfvcnJ5dn2kF0wp9ZUSGNBj5CKQM00Fevlgn7YYExVHjBCltFfjpAyIicarbfxqYT3HRXVltMtme3sct23DC4gQsBZxfePBr705Z9B7D3nez/8Nu2mB1moLu1wRe+uCRrStrcypgA+EnLE6gpEZPABzwapBDmVh+xiWJFVhZICkqQymsEPrM4XJZudE81szmazZow9IhfsGrIcboZhQ9rGAqSWSGEwWfHq4YyTxcDbiw7nM4ZM8gMeS0gRmSJaC1KCREJoTYhgpS4mzBjJMqOUpakn/Pb7z/jG+0/pssILV+zK0pDEj6y6CZcLnjOnSFMpdqYVa+dQKAYX+MEHH6GUxJqCx9VIXOjx0eFTREbN0cUJezs3cWNC5ogRNZNJhqGjcy3TWhCbKcMQicFxuH+IQNL113Rth6yKtXf0HoTmxu4ui6sL2r5DqQIECEiuN1elJCzg9PqU5WbN4EZ2Dg7xeck49MwnO0gtsKrE9KIQdJs1tdHISvL08v/H2589W5qd+XnYs8bv+/Z0hpyzsrKyRhRmNNDohsBWU6S6aVEkLUuWggyJIcsO3zjCF7rUf2Df+NIRtBWWGWGHZbdkO0iK4tBs9IRuNNBAASigUGNWzplnPnv6pjX6Yu2CruxoBxk8VxU1ZJw6Z+/9rfW+v9/zbPjnf/wDhr5FK02QGefKZ+DD03PaoWM79Bwvt4BE6UBUnjisme1dxc4Now/MF9dptyORiDEVbvRsx0uMEFydVIQo6YSh6zp8duzN5wypEM5CH8vSMUFKiak1nK+eIY0pbgktWMzmDO1AlILpZErXd7TdBVbJEm2JgEj4EHYHT0vwPU97wXx2k008JY4DJ9LwO3/8c+LggEjcxT8/KyMmJdj6HmEkMYGLkYmqSFkDgaQKHz/HcUcSG8iy4DAxAi0UKZcuhpICiUQaRRaF7KZSRMREtJbYO1LO+OCZTeYkRkIIKCV4+uTD3Ra1GCCNtfhYYhAqFwmd9yOjnzD6zN7ehC++/QXuf/qQ50fHSAlCFY+J8yPCK6rJjPnBPtvz00JmymCtJqRA8nn3bFcM/UhtDc2k+AZcXxwh0iYmtqAao4McBdY0CBWJu41dCAmzExFGKdiOWwa3hRxJurT7YxhRImN37/Xt4Ph//eBT+pjIQNbg04zJpOKifc6mbyE5YioxB+/K4EpKsbPHaqrKkiUoq7CVJnUjQhv29g5YrTfUTY0TAZskwhjGsUWZmoP965wtW07zZUEwC4EXAWMakh8LsMEFdK2otCW7wJgDaRfb8OOIFFDbhjFnjJVkF/FJEKLj6mKfLg34LhYuOWLXa0ps+4G//08e8l/8z77EoxePOF5LLs+2JcYRLZutZyVL1woh6JxCC4Gygm2/xS23dHmkaVr+k7/1Zf7rf/AALedo4WlDz08eOdoEiMif/ewnVFkiAiShSLH4R25dmfACwWXbklLA1lP8zm4spUbEkTB4Nj4QpAGfuLhcIq1h9IkxtWy2AaUrpFRE71FS0XU9qIw1Eq0nONfjoyelEumZmALGEEhiSGTVM/jE5nhJlJT3CQKRPEIquqEni+LLyUFhlOLF8acI4Ugildhl8MSc6LoLYgBdFYme0LIgRpUhh8CVRvP1N6/zYps4GjU3b9zhyfP79L1jHIqReTap6MeAS8WWHNq+xHRSRiHIssQw4xAwlaRfrokpF/yvTiw3p0ijMRhuXLtdolZh+S99gIf/PzLxh4dXSuZncFy/cYfzk2e4NFIrTTcMhVhC0U7nHSoqkRBKoZsJVlaM2yVogTVTYohYo2jbIrUxEprJAb0fSjkkZcgCH13RoceEMpqx77CffZiLwiuRQpZpXhhQUjNpJrgYyNEja01tauK2xZMxSmGlZusHpACyIkuN36GQvAskEkpTMrJKoXa22c6V8lllNEJBP44l80hFSiPyM1mOVmQh8C5QacG1vT1uzK/yi+dPcXEg+IBSFpkSdTMhacNbr3+RV++9ye9+5/9J2hkCh1AmZ0IIKmsZ/FDQbOWUQszlg0OkhFBliu+dp6kkOSSGWMpPythSQq5qohtRIlDrCW+++nk+en6fsd/SaE03Omxdk1NZgREKkcblXKYsSVDVE2KKjN6hLOig6PyAEKnoxHcPGlNVpFD614lIlkW/rncP0/3JAYfXbvD4+RMgI3WmXV+Sc+HvqyyYT/YZcPRty6KpibHQDZQyHOzvcbndMjhXis8xgEi89vJb3Hv1i/zZ93+/YNRERT2Z0G6W7NVTANosqI2i3awxE8u0nhB84ZZoJD57VAgMwaNlhVGC3/7mX6JNgXfe/zFfuHeLy43n6uF17j99yrJfEcYRpRt8cLh+ZL6/x6+/ecjf+PJN/vCTNe8f1RAjpxcPuDMzeODB6brk9Xcio34cQWZMXRF9RO2oKSFn8piYmopUaXwYaSb7tO2WWmS2Y0+WGhmKXtzlgFGSm4s5X7p7nSuLmp8/XfH4bMUweu6+dA1rI0cnI7/1W/8T7j95yE9/+j2IZaWtAbLA5RLTqkyDTB6rwcXAmFLJ9ktZ8GcZJrahDS0IhXcjylYIAsZMmdcN5+0KqwQ+SWL2yF08rDwYBD6OVLVBaIvrB6TIQCbETEONqSxKjIxhxGtNHsp0M6WAMJRNlk9ALO6DXD57QvS7or1GI1GyIibQUjCELUJqhFSE4NBSIEWh+AghSb7QYMZ+QGjJ4WTC5+/d5J2PHpcstKyQIpF1IowOFaGZNYSQ8EBKCkMoU0YlS9wlRhpT861feYMnT0/49NkLfu3rX+T2zdv889//U1wMRB8KCUYJQhYE70uUTBSWtjalGEmGmAVSwXQy4/NvvcX52TkPnjwtrOsUWVSaDoFzkdnigJcOGj5/5wrvfnLCX/nVNzi57PiDH79P60aEzMQomFYLDvcbTpYrvO+pmxrflyy6lpEhBlJWkMtwQyuNCB4ndl1hIZlN94oaffRIiqlSZ0GF5G9+6Q5JKP7xR89pWwdK4kOxiCppyanQdj7/5lfpu46PP30PnwJZFQ/A3nyPOHq6YVvY46oQ0KIrxXwjVdke5UyWNVXTINzAkIposJbTgpN0LbIyCKGZ1Qu0CLjk6Ee/85hYulCwk7qSpMEjhOFwNmczDuQwgDXUWhOGQJ8Lv6FSit4VdGFlKkIuvHxSKB0jbcuWgER0DkgkKZFJorQpTPjEDiusy+o/Z5CyBITKS4Hoc+ljSU3QxZ9AisQQmS72uXbtDi9ePML5nr3ZAZerZYn0pEzVaISsS9nde2IaiT6WXP0uFpJjwlhDTIl6UoP39GPpxCWREVGymO+RZGS1XBaUqazJFPxryr48l4QmuhGEQKHYn88Z8XR9h0z/AyY5pVQOrAm0KJvTLBXGVuwvbnJ2+gyhIe0MqNbWpOgJwYMUuyGjJPrIbDGnqgwXl2uEiMWa6TzKGuqqZhiKLR4yvh/RqiBG501TXDTWsu22GAQueoRQ5OBKhlnKsumPufQzdCHVRe9BKqpdR0cIKLm+MoVXtUR6SdIZkyLS1Agqfv0bX+dH7/2Utt1QzyzfesvwH/21z/Ff/qOnPH6R2V/s49ueLBTzaUNlBVlaVLWHGy7o/JY8ODbdgBQt//nffpX7Dzf8H/+7x0hpCfjd9xq4fu0q927d5uHDx1ys1yiZmVZzrkwr2tGz8SNZNnRjj1QRiSEnh7TFPB76kZAhEyh4VUlKEaWq8uxQipQjQqZyzpGq9JdSQgjBbDEnRRhGTw4jwoDIpW+UY0LKXRlVCprKMLqOJAyVrPE4Jlryb739Bj99esqL1QY/9kzMHlGEQhbUEqFK+kJRsLokRz8O6NqSQ0JIUNaW15mBf/uVW/wXf/1X+Xt/+B4/XDdEoXn08D1ULK6IRCQaVc5dCLwbQSi0NMRUBjq2sgyuR2RdUOmmIiXPdDKn7zucTBgkJmVefetb9MOGd9/77u7P/P/+9a80E18pS+sHdNWwbbfEEJFSM7jEpF5weHiN84sjUgikXCYfSpQiVWG7D+WbSgIfHJoSC5nND2nbwglP/Qpi4O61fYYkOFktyTqWB2YWBZMoBHYyYW9/n+XxCeMwooxGaV1WYzkyuK6szpUmDgNGGhCa1g/UUnMwn7M5Hxh9AOmppcXoTAwDldL4LH/5/5ezYPQD0SiMNEhrC5FFQFXK/fjQooQq+ardw79pDEILalOzaUtuLVEkSlqVkpIyhbZhK8vJyQmbzQb5mclLKrSU5eGdSqGNVFaaOUKjK+aLA1bbZWmbyyKsEVmyqKbcfOmQXzz8tDzkpCIzYmJG6AY/bpGNpAueFCOJSBI1WQScH0u+MmUIOyWzKEITbSu2bQu/LApKhhyw9RyJJ8YRgyr6eZ+QCKDgD0VKCKvwcUBrOFuf4gkMY8/1K68QRKbfrkGI8u8rTTu0DPhyMEgJUvjlIWu1WjOGgRBSiaqEiFIGlxOt71CVJrmMUoVnXDWm8JDNHB8cVw4OqJEMqSMEx8t373Ht2g22q4Gjs+esLy8KP3wYWQ+RP373J2ijWW963v3oCbP5HO9KHCrEgiobhiVJWKbTBkj87JNzUvTsHdxh2iQefPSINg283/d4FyCV2EeJ9CSsafDRMTMTHGMhvAyxEFmkIFnDt7/+Vfw48LOPniESjKmIRbIQhJTRqghp5hPLNz5/i//4119nVkn+6+8/5vnFJZLA8vwSpzTd6PnzP/8uJ5dH9H1byjraoLQo3FtjIMHXXv0KSo688/DnRKXJsdhstbW8vHeDu9dvMJ0t+OOf/oA+dQhRFN+1rfnm177Fm6+8yXe++895fPRpwaqpsn7KMRPDWNBtZMZdIZgs8X5EKmiMhZwJeDauqNdFLIr167OrbNoVgy8GVKU0MeVy0dMaozQiC3Isg4GUJ0wm+2QC2/aY6WzCOAq8c0zrGcoUKY1KAluVS3sYRSnCysRmGPn+B/eZTg5IY89kGok9jGG3hdOKm/sLTo7OiAiausZ7jw+lr6FlKT655Pjxex+z6XqcEDw6OuJi4+jHnsEFpFRUlSKnwtb/bOOnjUIJSMkXQk9WTKwhKlDCMJ0dcnm2xpgG59cIAZ979TYfPj0mhRLxs2bBt7/yJieXjjtX9kkJXn3lZR69OOPq4VU2yzO2bc/rN6+xujihqveJIeBdRyTjUwJVcrVKaGJ0NLZmfuU2R2dPmE732Nvf5+zsGBcdRtXFhxAzXiYmJP7y3X3WY+L3H0h8bUp2WClSBisqnBghS9p+t2VSxTkhKXHCyazhzGeEmaIokh6VXPEHpIi0luxjWXULgbaKwQmSS1SV5t7dm2zPNjw7c2VirAyxMmQ8m66nqmqaqmE2mzA8fVYOpGOJ7IQUuNhcMpvPyFmhbEPnHcZopsIyjFsGFGE3yY5J0DQzUnS4YVdEzZIYPJnd71FJrFSInXzNKoOSCZc/i40mppOGrut3mGDDtSs3uVwt2Q4tvR+ozByRI8G1aFOx2WwY2k9IOSG0Yrm6xFpJcJmDw9s4vyX0mcWk4swPpAggeenmTU4uzhj9btqOJotE1/blwkqRS/nxf4iqltpu+feyCEynlqEfcENgMpniYiaKQgxKAbxP+OAQqQwBcgykmMlZEEsWB6Qo2wopSQmOTj4t/HWfUFJibVWoVbsYT4k0BVRVYaTm82+9xhtvfol/8nu/y+rijGk1Zwjr3dayHI6kB61zwRVGsLVhTIHkAgw95ESQBc5R1Q3OgYixyPfGAW0Nms+Qz+X5+FnIWeVMUy9o8xYtBNfm19nGEZcHiKWoXHwra955/122fVuY+MLwp+8NzOun/Od/5x7/1T+8z08+PgIXmTd7rD3gQcpI3UuSyPRrT/AbXrsj+E//1hf4wx885x/+8UnpHYUBgSADStVcO7zBN3/1W2w2A+ebDUkI1sOWO1eugPWcnbaY5HedFknyiYQiuYDPicNrh6zWHXkcGKMnJJDaFlyvBKkSOUaCB5kpz7icqHXBVmujuNxeYITEaMPVxYT1mFm1bUHIWkWlJQJVBHqyhhQLHU+VOEvd1FRCkIMn5UwX2kJ7EglN9ct+kHMeQihiTmXJLiKkxkiFCeBz6aX89OSC//3v/4SPLjdsR8N6k3C959W7X2bZLRm255jkiVIhZCY4Qa0tIRaOfsHFlmGzCx4rakxVMXSOy9U51tQYoRl9T8qwWh4zhp4S+P6X//oLH+JDDigE0fVlYqhSscsZTSax3l4gtUYpjQs9bqetf/Wlt3l28gRtNSnDpt8iyfg4MK33ONi7QtevmaoJ1lpyHPjtL7zF7/78g92Hsiz5wpzIueRd/caxSWvkjtXuncfqDLl84Ds3opXe3RYVF92AJFLXFVmoItUAlJKEmBhcQOnM3rTmteu3ePfhY4SscMHt8ocSnQ0H8zlf+dqX+cGPf8zFcl3iApRJmLWTkmkPDpUKOaaIaT2jC7gcSrEhCQ7mU775jS/zvR+/iwuBOikuz16wNsU+62KZtGupiaEgnkykXIhSAC3BaD7/lX+T9z/8EavLZ8Xsaizt0HHeXrAdt8ynC0LKdENbkIbeYeoZUlaMIfLk2Sf0Q1e+1zTs8HtlEiaVwuWA1QarNUpqEJmUR0QSJPlZzCWiTAQXCT5gKluQfTHSVFUhjaDREu5cv0vbbjk5P0ZqWK8uiDFzvnxAQuB3EQpjKySavu2AiLCGoOF//Ctf49HxincefErMYCuLkOXSk0VmcXBITJ6fvfMnJF+sq96PbLdlgpI1dGEgZMHRcUsMAWMklan4zW99k2987ZtcbhXf/bM/4OOPPuL+w4+K6W3Ha172KyKOIVpM19OITFaZnOD6tZucnJ/hg2fSWOIY6WTg+TLz6PIJL56fMvhMrSRDcJQRRLH7hSjIPiJUxCjLwd5VLpdn9GPLlckel27DmBwpek6en/Dqy3exPKZRAm8rFJmh22C02sl1DBNdc3hwyP3zgefPz/nR/WOGkEnJshpHQhzRaM5OjoptVQlygNt7V7h38zo/vv8+sjHEIfPo+BNc8IQAGEFSsjz0I5xt1njp0JcV0Wr8NnFwcIWYEznA6dELamF54/bLHJ88YwieaT1lM7oyla4aIgKjaryPuHazKzCXzLmqK7rBUWdFTuzsyYXEsfUdLgeqag9jFNt2DRQrtK41WRUjZa0mhDCQtWNMK5IwhJAILqKNQWTQWjK6wOBGlFA4n5kvZmipuNwUP8BsOiEImOgpSXg2G4dKgSxgf++QmAWLaUPYX/Di7Jxh69HGoDR47wi6HDpi9Gw6gY+FRX56fMmFXaPITCYVwziiUWgTyS6im5qUSmHcWsFmNVKbqojUfCQ6h88VH330MW3bMZtOGIaECx0/+vgBUtdlgjv2PHz6jP/TP+44XvactQ5VwcX5JUYbPvfWF/jow/c4ufiE7773gGHw7ElfJk+7mEKOkUpbOlfigdoYQvC0bqCuZly/9TIv33mF9vKStt0QcigxqSTLlC3Dj56c0wVZXAEy4wdHzInpdA8/joxDh0Pw0YN3MVr8shgnjSYF2J6s0HgGF0AlrK3IXlNPp9TGstlcEgOkGPmVb3yVSlp+9oufEEVkcJknz5/z7750jW7vNv/94+fo7MhpSUwZlcFWhtfu3sVqw/GLYxaLfVbbNSmV4UqIAedGckqo7BEC+qEni7GUIXNEWonWisFFhu2WGDxalc2TVCBSucTmXLZCKXpSpsQQvadWunDIi9KCbddRvOFl2zC2PSkGUnBUTYXVkdGNSFthagujYDKdFFGgkDiRGF0sBDLX8fnXf43z5SXnF4+ZK8PKOaaTBqHEznKuiDnhfKCZNIgBhE6MY4k1aKOYVDNSjoTksFogRIVzkbEfkRKsNbh+ROzQxFIIbFOh6grdJW5cucLJ+gLnPZUWxBSpq2LuJMYdVSSXv2+bcllPEakVYWcGZ0ds0qow831wmOmEvcM9To+fMWyXZCIX2zU5JqJMLFeXaDRJ+xLxlZoUA96lsiHfHdaiC9hJQxgdXbslhoBUu9hOEqRQ0Ml+9KWPZxTVrGEcQyHC5QqRW7LQ2LphHhtW4YKIx6XPJs+C9foSYzTJpyL4m034g3cHnpw/4O/89Zf4K1/z/JPvPePZyYa+s1S2wdiKzeY5k0ngS6/P+Y2v3+GNWzW/9/0L/uF3T2mHMgyIyaGtIQZBYysePHrK6dk/om1X5BjwSTNR8P7Th8iqIvmI0yPJR6TWaF0xqeeslkcIMt1mQxg9zo0Yo5nVM4SuudieFjmUlwipmExq/DCUIWHO9N6jRWa79FSyWGrffvUtvv251/jOD9+ld54rsxlvvPQK73z0AWPo8VExmzYoPN3oSSnSofnD9x6z7i4LQpndpj+Xbcw4dIyjQBuL2G1zp7N9hm2LkInBl+4IlSYOHsgcbTv+wXsPqebXyK6j3WywpubZ6SNy+swmXkAGwpdkRBQJJMgsd8h0g1WGAITo2WxWyB30wnlHlSsqFEFnjo8/Ysy5IHL/dR7i969ep5KKEDZs144kKu7eusLEan70wX222x6lwBhT7IDek7Lg6OyM3keu7V9j212QdoIMIQGh6NoVRkk+f+9NXpwf8WLZ8d/95BPqaQV5i0SWC4QoODiVYD4rqt3euV/mRXNMvHzrFsfHR2Xtii4v4hCwsrB0B9eRtSXhC2c3ghR5p0lWpJDpvSuTFzxQqAfK7G7j85o3Xn+dn73/IUqty0pblTy+kIW4kVMgkFBCQch0lPWbTapYyYTE41iuO5JWuH7LZc5IPWU2XzBtDI8e36eZTfA+IXwBx1W2QZHo+0ROEnLi4ug+3fYc70Z0VeG6viDnQiIR6X2PDxGlJU0zYR3X3Nw7pB3P+dqr9/DAD372Ho5SfpICqsqgtEFoRVp3BB9Y7M3pe1coCJpSoEWgpEanSOh9+eAXmrZz1JOmZClDXx50yiIizNQenY7l+mkqGm3ZtmuskriQ0ErjgydsXbkU5fLYijkxibBqW7ZDWy4OuuLajZd4+vRJiUSkzPZihbc9RguCKEz9nMQuJ65xXjBfTDFSsL9oOD05QysQUvDhR0/5la//Nb797W9wcvKCJ/c/ZtLUXKxably5jhs90pXpcttuwBta15FiIUtcri7QVmKMRuWiFR9d4Pb1a6xax7N8QmNVic/kREylbKqFROhEjBltIfqek/MjUohEKehULGv0KKiqmtnBdX7++BlVPeXk4gSfM7PFouQ3qwaRC7XhbLnhH/7hz5nWhm0X2JtVfOutO/z0o+dss9itGxVb36KUZmIMSWnW3vPug0/pXaBRArLkvD1DKst8vsdqs0ZliMmTULQMtKsBPzqMkuSUWK2XaGHZP7zFxo98953f5/bBLYy1hBTYth0i5xKHi5GsyiW92GB1YdnrosXuxhEZBRlftm2pYDBddIzOl4hd6vC93qH/NI2dkFVku23LAzlltKyw1QI3dgS/IuVMiII4dlS1Rghww0gWkHNAYrkyX3Dv3h3+5Ic/RckGpQR9t+F87BAiIXwprUtr8GOgqSc455hMLeq8ZPNzzEyUZRQlV08GLSVWKyqlEBJ8FiQq7ERzMLGEVuAy/OXP3+L333/GdgSjLZ3vqUxTJrdVxduvvsEHnz6gGwKkyNCvSw58LPjc0XlMrcjOE0IkCUVUiQcvjnEjnF9eYo1hUlmyNPzRn/4eXTdQVTVmOkWqjm2/JieKrCdCVS+w2jL6s0LBiqWPst2eYkzN0YsnuH5g7EYsmv29pkQT+oB3LX3y/LMHS4StiMoQh4ITlcoSQ2T0PdZqSIVAklxGSElSirF3WFsRrSKNa6pKE8eEypn5/oLWOULo8X78JTrx/v1PuHIwZbtdY4wlJUe/7RiGlsoIDBoXAviARLKY7/O5l+/w5NkzVpuS0T+8cYcbdxVP799ndB0xR/zosVVNMy1RvZzBTgzJjcRMuQi6iBKgZcbJsrGpqrI1rqqG7fqy4DBjmQ4LUzjmVmbGYcDqScmLW4tWkGMkxshmWDOEYh0mJZLPdK5DiELwatsyxOq6NbPplO22L3++UFSN5fadN/h3/ur/iqMXn/J/+3//bxhdGZbgHE+fPMOnAjRQu2FM17doaRBZ0dSWcRxRUhTYApQhkJCE0JJlIbNVKMaYS8wyqV1fWTOrLNP9Bc+2G47Pn4EQGCWgnItRojxbSk47IZSmEppbN17j8fMPi3wwFXa3kJIcQBlTPDBItEh07cDRo8f8+je/zM/39nj+4nn5vM2UrDyi+FAk9L7EnqwxRO/LUEblot6QCu8CxlQQHEIpEjs0sDWkHMlRFmyzkSAywSXy6DHWsNckpK7o+pGL1XO+9PavcvpC8eR0Q8oSIVO5qKVUug86E5KB0SOV5uf3O/63/9V9/s3Pz/mPfvsV9qaartecrHvi6DmYXePqFYNzgj/64TG/80+fc+vKdYTSaJlpVMUoK1waSMkx+pYQIykNO2lag/PFSSErSvzWVGhZnjl1XTF0kSwjWpftUTckcs67Cyn0wxapPZWypcCNKyZSIVBVTS0C277DxwwoNKZACHLiYDKn85GHp0dIrTjcv8mN+T6VjAwJtE7cvnKNq4spP/nwfXpfOiMrd4IXEpRCAiIlvChyJakls8mUvhtIO2Jb27bkVGJ7SSfqyvA3f/NXOV2u+fmHR4Xeo6fcvHqX9XbF0PVMpzVbVy4sKU+KkkIoxuyISRDGgNpFwIxWWF1EYAZDKs7FMnBVEWMEYRzRE0MaQxEO7s5Q/yq+/sKZ+Nfvvs2dl2+wN1FcnG85ujjlC6/fJofId9/5BW++co0vvfYq//CPf7zT2wqUNZAV+we32C5fkJUhx/ID245FWCBFWQVLY/G+JaHJfkAoEMKCSGSfSmRBaxQSPalxQ0IQIUsECZEjlbV0w0CgTG50ORWhyfgM2Uhq3RC8w2WPd4V8Uu2060oo0i7FLaRkcBG9m0BrIZCVwaIJMdIP250uWaEQJKOxuaD3lLVM6oboCtIr+ERjDUJGXr97myfH53TtWD4AY1kJCVla80oLfAhUumYMjuQDWZnycyKVvG3OSCkwCoILuwhK4Z1rZYmpx0iF875IBUKEnIhCYLSgrid85a23IA288/59XHRIpfjar3+O3/ztb1PZipDKz+b+hw/5wR/9jPXRiu3Yk3IuBKCQyrotlpdPTpkgc7G/RqiVJGnNGDqmdoLVC1zMtMOSptZoZWm7npQyVmuc76kmM0LfEjNcu3KdbbstGvcYsZXZyTsCyipcjFRVVbKNsiqQ0BBIOWCUwovPZCplIiF24pbKGIiJqir2NCnANjNefuke3/i1v8TNa/d450d/wocfvEPfbrhYr3j19Tfo2o6TF8/RVuGdL3ZTWfi2MWXu3DxkcImhc9x76QqnmzUnZyuuXrnK3mLBw0fPuHlwSC0Ny36NiwKyZ9v1pDhidFN+D0KjlEBEiBPFleaAnARnp8+QtqLSlhgTkVxkXKkg66SQTO20bMkoLXxRq3LQdI69+YL9xnKy2tC6wlFPCHzqS9knZ6ydIWzFMKzQRKSqys+8b5G6SFxInsrU+KEjygzS7go+ZakOBX06nR7iU2bot2jti703lde5MRX9UPCrIFBG4cdygFaiTNS0qjB1TfZdeZhG8G5kWln25nPO15ckMipLxuiJCGQuGeHpZMIwrhl9QMkKJSIF41uQfErm8tA0Fi0189khy8sjgg8EkcoERUiszcyne5ytLggebFVII7pSROdRO4511VRED/defpWL9TnjMFApxeVqSV0b0BNSLtNFgWAcx3J5pJTTKy052JtwernlL719k8ZYvvfRKa/faHj/ZMOqH4lxV2ZORa5VBhsVOuTS4ZGBIYNmF3VLAhdSuZBohY+e+WwfSGQ34mPcWTETlbFlApscShfSx950wpUrC54+f0b2isMrNzk5e1beUwKEDBAkMQZUZam14ZW7t/j0k4eEXfxHSdibVwihaSaHHB8/IxALjSMllBRoLRjHFikNPmayKBPZykxRCgbvSC6gVCKVwRpG2x2OUBJjJJGZ7e/jtsPuAC+RZKy1+BDQOjO6Irzb4TVogNFETNL4JHj19stMreGjF49Z7O9hmgkvXjxDhsidV+7hQ6IyhtX5JW27LfGNlPDBUzUGHxIiBqKAJESh0LiM1rufRWXwrlBzXr37Oq++9AY//Nl3WW939nKxs2ALRcqlI7OYXGW1Pis8dFNeK0rCdjuUC5WRZF1hpMDt6DK6VpjZIUMIJH+O8AGZK0iSIAPGaoxpePPlb7PaXvD8xbuMrivT7dERUihDJ1mDKlturcHqitGX9VsMkbqqqO2UTbcm50zVTBmGNUokjJny0o1XeH78BOd9iQqKmqo2vHz9Jh8/e0jIERUL0zsEx3R/n/PTI7SQLCZzkIpNuyFJUbY4lLJ6SCXmKskkmXaSrmIJnjVTxn7AJ5g3E25dXfD0+IzRlaGJEhltK3KWROdBFNpeSpmcNTEXm7OpBXGIZKEwVhF9uTxJU+I/JV+eidEhVE2ODi0UmIROCqkkk2bGX//Vf4OT1Zo/fPcHQMDKGoUgKBiGSD1pCHj8OGJtXT4PKoNwnigjE9UQgkQZTWMdUjlu35qzsAKlLQnFep04Pm7pSAQHXd8yhohQChUBqambChc6vBtIzqOU5ua1a6AVxycXBVMrFVoXlPU49Mym9e7ze0B+RnkyZZPkQoEIZFl2LFJVzKczTk6ekbKgFpJBJoypiC4U4IUEIy0Cjc8RmSNTW1EZzWpoWcxmjD4RnWd0A+SEMBqlJ6XrQcSn4qzxuXy/ZdVa4k+lQ6SYzhqGYdwNdAyL6SGb9oLBObQSGFEoY59/+S6BnienK4YxcnV2nSEOHFy9w9MnH4FoUUox+EgUitoqcsiEYSQkgdQVTVNY8t3QAiUSF0QqzTohSERqA5WqGGPC2Iau6woWXVZs2hUujP8/z91/keP5X/gQ/7UvfJlvfe2r3LvzEh89esyf/OQnXJ5d4P1AjIG7Lx8w1RPee/CMLMoLIniHERKpLVIlRC6T0W3XEoVHacUXbrxNyoGPz56QncNUBqNrhtEh+OwBpdCqUC2StIhQ1ie1nZZcu8hoE4k+4mIk+oKqqmyNFBoful2zv8RvlBT4VDBYla52rfOMrQ0hhBLZ8YV7Y43G+aFEcaQF50ruy5WHR59DKecgqKUiqEIKuLF3wHLT4fNAjGWaFLznYF6zbT2V1tR1xbobuHZ4wNH56a5Im7H1HD8GJvMpWiqWFxckyvdVfmsKSaK2kj5nki/teecctVEMbsToCXVV+MaQUFEwek+QYITBp4CtikG1riT/8f/6f4rMkh/94UOePXtG1624fvUar33tJb74ldf4b/7+f8+zT4/Jgt2036NVKbuMoyPrYq4USmGtRcaAUBpRldLxzSv3uFg9ZejWoBS1tXinkErg+ha9W1lllSALXn3pLmcXFyy7JTlJ9icN3VCmi0JkrC3lZiEl47hbbYuiQAZFJlEbRYhlbaWUKLk6v3tBF9c2Ukm0MUxsw8HhdRq1x1l7UdBxfqDvR7KWWKtwgyfHYsW0WuJzRucyEXj13h0y8OjRcw6mNeu+J4wZYXSRPPkRJQTaCoK0ROcQORPCUORBcsbolggJhzfvYmTF6fkjZALvHFpJhhALFisFJtM5efR04xpdCWIoVA6kIMVIVTdEKRCjK4cCaRBS7MqzAqGLiMXWGoHBuxGZYDq/zmZ9jNCC2fwaq1UhW6QIMiukFlRCcTBfcLK+QNqqbK5SxkfPtJbEWCF1DTi6bovRhpQGyAYXEkYIjLGgLd535YL5mYFzV+TWUjOZTWnbLUZqEgmpMmKIDCKihSqdl1gO6M1kVspkZObTQnJYb1cYKXbCDo2VkSGXVXfwAWEkWhjqeoL3Dksp7lbNpEQTyIU/TkRKwehioejkz6zOgaaZYSheim9/+zcIfuB7f/59RjeQk2Ra72G0YjtsihtA19yYG1bjSC0tYy6Hgb/xa1/m+58+53LdcvXKVZ4dndGGnsyuwOoiTV1xMGmICk7OV6hQbLxGK5QURAxXFjNWyzVaTZCmPCikLIeYptkjRocfWpIoqvaMR0XBZF5xZTHj6GJL8Bkj4dr1Q05OT7m6f42l82xWy1I4FGClJOaSY5ZCMqlLybepK27duM6H95+A0gjhib6gb71PmKZCpkCWhr4fWMxnpYeTwTlBSVh7tK1J2Rc0nyyb20jJJMcsaaoFMbSlSIeirmcI5enXXSk/p8h0UhdwQfIEFzBC4naXh2ll6aJH5sQYEvv7V5hqzdn6gms3bnHnzl3ee/dnjN6RQrG5GGOQqVyKMaL0cKQql1MkSpTv0SV2CELJdDKjd6V86f2IlIb9vavsL+7w/OgDoh9JIiG1xkjJ6EayFhhVQdRE15EB22i++vnPUwvDn/3kHVyI7DcGLwSjz6QAs9k+b775FY5PX/D8xUNi7NFaILJESc2t6y+z9VsuLs7Q2BLTVDCZ77FarSBnBteX93uC6WzK/uwKJydH5FzSu1KWTXreeRtCSsymC1597XN88skviDmg9ZT59DrXD6/y3oMfMQ4bKmEKhUVaZIq4GNBSY7Sh7deF8CEEMZdYqFAFxxtTRIYSKxIqsr9/nbFPCBXpxw2kInSczRu6vmfsyxahsVOsmXC+PCKSUHqHi/WBSbNP12+o6op6MmOzPCXsCqqJ4rexSSK1RE0MV2dXOT09Re5KvzZnUhR4PJUybLsWlELnjJYWXQvGbmTWLBBoNuMKXRf0cgSMLNQ3UzVMJlPW7Yph6BFSI61CDD0pJSaTCoRBK0MKI1FKjNTFAD7b48rhNczU0l9e0LuO08tLwuAhxxKvnVSl2LnLbqecGP1ITIn9+T6zgzlxDJyfnaHrCpLBu5aZEXzrS6/x0dEZT15cYKQh5lTOEaZGG4vvO+rZPn5sQWoOD67z/MkD0HBYN2y9w4VE3HVVUih9CltVyJxIyVEpxct7c5p5w6PTlj6U5EDOGqVSYcu7UioWolx+Kq3xwWGbCb5zRZAWMz45UiylaymKv2W+t0fXdrT9GqkqlIpYBLP9WyyaA04vn9C6bXntRTB6xhg6JJmZ1fShmNL96EnCI40uAqgkdvHiiDGT4rFJGe96lFZIYXc9RMGNvZpXDg/45PScjcvcfeU1Li6P2W6XrFabnYfnX+4QL/8iB3iAqqm4sn/I597+Km+8/hY3Dq9R6YZIMeM9fr7mpx89JLpIjh7ne5RM1FbjhoG+H+h8x+hbtC3FgEXVcLQ85sn5MVrpwkTOmVu33uJg/yWCLAz6LASoiv39a8xtU0QWSdC2G5wbGIaO0ScQJV+oTClmuuDpxq4giqwtl4KUyJQCICmXIptqEFiCU6Qgia6YvqTMJQdJZvSO4PpdIUmQywYQRVnrTSZN0XbFhMgw37+Criw5q8LPFwJ0xXrribLc5FabNWUBVTTThThpcWOZpKdx5HJ1QUxlumRri7EaKcoh8q9/89f4jc99gUrWpJCKxdUPqGlNiAPjOLBY3MYnTUxl9ZRTxLmBHBPBFw7xv/ef/DX8KvHp9y6xsUKGost+/uQ5f/bPf8I/+2//iL/zv/z3eO2N2/z2b3ybZrc68iEzuDK9qZTg2myPz3/lW3zt1/8GdTMnK/Au4vuRF08/YezWaK1K3TUUTnIgEmRANxMgI1NGIbn/6AHrcVsK0lIxxPIhL1RZQ4lcxCqjT+VQKkGZiqZuqI2m0VVZ4akS/QgpopXi2vWb1JNJORSkYgD2IbHpB54cPefR6UMWlUTFRBCJKErL3o8BSGRZXmPlzGlKyZnMJ/cf8ejhY1IMbNuBEBNXDva4drhApY6plYgckFlRo+mHjm4sNBdj6jKVFiXL1y7P2SxflDdeDLx9+5Cr+3NEhuTHYvoc17g0UDUWxa4PIsXO8ppp3YbY9whROhZDGulDB0qgtSGH3STZJ7wbsDkhhaDbnJCI5b9LHdbUzOp9lNitf6UlC4ipeBdiTCRRHrZGUXbiKdD3G/qhZTpZIKUhJlXed1oXNnIzQYhSSku7w7dSRaxTV1NiCqyWZzSVRRlL0mXS4qLHh1Bys+xGs6JQpCa2wko4u1wSx4hVBls3pBRJeWRMDmNKCdhOaybTGVobXr71ClXVUM8sMZbKiQ8jKSb8TkyUduVLkWOhesZYpnjAMI6E7LncnhHEZ9K4kiGfLmZcf+kVEIkoPD70zBrLomkIWhIr2JL4B3/2U5bbgc553r9/n22/Ap8JnSOHQt+JgyukGp8wqhiIVSrDZZ/gYG/B/uIWWSRGNzD4FucLH73Slm67oe1a0JrF3g0aXaPQaGO4Pm/4u3/5i7x564D9+YIMnJ5fkoVh261x/abgPqXCmIZ67wpCi1L0So7ROcYguHX3dTZtIoSe5DukqNBKMQbHZNqUraUqn/NGK4iecRwLPpMRmT1Sa1IY0VLtxjiRGBILM92V/UGrUphPOYJwrFen+GGDUJl7d28WFnhWJJFQwlBVdeGHqxLtiKJYN6OwWGXwbctyvSSSOTk74Z13fsiQHSDxKe6WUI6QI44iNLRSUZkaLSwgCSisrllMZwihiQIODm8gSVxZ3ObOrbdKPt21HB9/RIgDudIkIfHeI/SUZjqnlpb9xQJbG7KG2y+/hpWGp49f8PHTx3jKBfa1Wwt+7d497tx6E2EU23HJh5/8hPPzRwjRk3MsBJucqLXh+flTNtsWI+tyuUpd8aBcLsmxMPetUlhV3BMpePzYo2SmnlgW+3sIKgS2eEmM2JGFIo8efEKORYimjeW1V77E9RtvgQ9YJAhwwVObCbeu3Gaia2IYCX4oBUyZ0abexVoj2Ucqqbh94zbCFuutloZttyHGLT52EEAKBUmzXvaEMVBVDQBjDGzbC4RILJoZMgvcmIoJvV/jQ6QbR9abFoShtpZZ1SAzHBzcQGjBjcMZc13x4uRFyT/HwvH/bAMvgLbrStk+CSbzOaLSDN4TcuaiXXLeL39ZuhcUOk8KEfCk0LFanjFsNlQyFRO1C1RSY4UihoSRDWMaGFIRn/k4grWYakLTTJnoCdux52K5ZhxGsshoAUqW0rFrNyQ8fXSF0iU1QmhSEnTLkThElFJlABd6tNFcu77gb/6l1/itr73EvLaEXIrHIZWp86ZtCSJSy0wKHuc95+dL5pMFs2bCS1cPS0+jKhGnnEpU16qybRrcSIyJyir+6lc+x8sH+6y7gXGMkIsYS6uKmAzJKKIqkUu16zwkH/Httgx2gyeSC35SsNuQ5CLhm1wlBsf+YkpdaRCCJAvV7+T8Bb734CjivujJocNQqHwGw9zOuL5/gJSpfG55SZamRC7LvhGfI8jdwNhUGKGpTVVEVDKybEd+8vAZm2FgMZvzpS99lameMPTDv6pI/F88E+87z2m7YbW+3EFhPVH0hFwOgzEGKltQhj5maiPxY2IUiaQiOQVEgiQMZEFODiEarl27yScPP0JogVSa5Ef82ON9u1PAB2ZNzdUbL/Hqq58DAp988iFHJyfEbmCiSxlJzRbEENiuz1FVkSFE76imE5IfIWa0UEw02Fqz2oxYJYhZUGnDdCJxwdOPoE1VWLqy3LgrMyPlQMbjUiQFhUbR7M0Z1itELCW5THnYkuDZ8TFtt2Exu0LfnSMwhDyAUeQQcOO2UF+S5+TkBKUV2hbbYibSZY9wlFWqMIQQ8aJIV5JQSCk4vlxxcnlJJLLfZA6nlmuTG7x7umGVB6w2XL92h9Ztce2K2lZUSjEMbrd2z7z0uVvcuHuNf/R//h7/zm/9bQ73rvDnP/wO737wU7pug/OBBx894+c/+oCv/+bXePiD52hTE/ue6XRC3xYDW11rPBXf/Ma/zxfe+ip/78H7nJw9pu9XKAFjLJlIFxxG2B2CtC8Px5DoN5cspgsygmrWcHp+hsq5NL53qKrFlX0uz88IQeBTKT7m4Ev8RJRNR0rQGEXbDUi1y8kpjfcRkTJjiEzrCZOouUhbhASdMi59htAb+fLn7jD0He2FL1MTmRljxFYamQUpFNeB3OmctSqRDoEu5BWhMRSajvOBIUmM0rw0b/jG63d4tDY8qhc8PXuMUKWcKISnNrt8X+yo9w6QAeZTy9/+7b/Ks3Xid7//A7ou4IhcLo/KFLTgh3jp7uscnTwD16FSQuuG6AoOsliPCtUpREhZlF6DLJIgqytqLViPHT6Uom5lGmb1lPP2GFlNuXnzVZ6++BQ3bFBCEeIGZOKtN77EcnXG8fExKqayKZFFElI1zY54ssSPAz54jBYoq9hsL4udU2o8AS2KqdQoQV2XaB1Z0MyvcvXKNe5//FOoJFGI8jugCOhyLpOR7focYUqUxOo5UmiGvi8bEFnEPNWkYdxugFzesymRwsgnn7wHQtLlhMuJdTdghGZwvmR9d/I1KySJzLQ2tMPOiux7tFaMo+NnP/sZUlcMw8h80hBj4OL8GcvlMSILdLbsLWo8grsvvUW7fcGjs0sWlWXoPcv1qrgJtGWMDqEjOkmUkWglcOPIZdeBkGihOdiryELSjSOdj5yeXnC+3JCTJ+dI7ntqq7h58zZHR89Rshw+Xrr2Elf3bvCT5TsoY4jBcXze8Q/+9ENmszlis4SUaCYzVm3LchyptKJCklVGisj1vas83azBBHLOZBQxBR48fIxWmmvXb9O2Lb0fmVtDNxr60ZeNmSl+CR88PnmkKsZRciobFglDSKTgSam4BpIIpOAxusL7kd5tsVaXSb027O3tM58vGMeB7AONKdltXQmsnTA4h0+ZlB1zOy+H2Fi2uC4IkHknD6MItHxA+JJTr4wpzg9diGtowZihpuJrb36Fw2uH/LM//Q4iC+rKcLktwxmN5dPHn2KlYLUp005lDTqDy4VhrULAVoroM8GPGKuY2gla1AS3QSIIBFTdcLy+oLITRJYgBB++6BHqhIPDm0yaBck7NusLTK3JOdHoCoAkBWhJ6BIh9WhrSR60NjTVlNEVGIPSehftlFT1nKqu2C7P0Lro9tp+BKMQeJwPJDJSK6QuOEZURonEZnPOD378T0jAK43ilb0b/OnJBWR49eXXuHPtkO987zlKabSxJROfMz7u6FOq9DfGceTy9AKRCskkEtGiuDDuXH2N88tL+v4MVCQhyEkwm1RsN744NWRmMp8x9iNGKaKU6NqQc0TKTEyZ4HuU1IxtTzSOGAWTakbPkuXlhkCFSIrJ1JRSZ5aYxYw4joVIIgVamGLnDpFxiBwsGuwUjlfbIkCMir7rubq3z6SZ8fzFEUPw1BQrr6lkwXMbSY6BbvAlHuoCxgw0ekYMHdla9vZmxBS4tj8HlckhM3Yjla3KZjeNpKSL9qXzKJXRISOTKALImDDScDBbkICTy9OyTYqRUEoJnK5H/smfflTQuxSmesiudAl2ckIhJJW1KF3hnWdIS3JVQ4JPjk8LWS3E0pFIimZasWgWtCHR9xuS9/Qu8zt//j5ucMTkSi9LSoRKjKPn9p0vc3z8QbEYpxKHGccSJxYxEWQi5EjMZSibEMW0GjPGljNcig7nijAzxXJuWMYjajXZRWJLX87acmnKCKIyXPYdIgtiKujxKAQyGExT4bcttlLkFOj9iNGGYeyptEaqIussDoOIS4q6mpRNShp58PQTzlYXWGEIOfzrpdOcrzsePnhGIzP90DGOfcl/p4isDXIs5bEsRrTataytLRPsGNASYsg7jF0sbHbveXb8hEwmhUStG5SBR88+ABGxsikZWq340puv8B/+B3+Xzjl+5x/8P1heXrKNa7JS+JholxcoaZCyQiWLUA6VLbN6zmU3EtJIIwX/iy/dxWrFf/nTh2yAlAPL9pJ6tESVEFrS9z0yZ1zKRYgSRgKh5NKVJofI3uEVUBYltiQJldRknRlGR1bQb1dYYxlDz72b9+iHjhdnJ0hdo1SxqiltsBJiSgx9sZnlFBFKIGXJuccw4kTRV1tTI0Rhwbss+bP338enyF495T/75issR8dPj0OxaJoJIXk++PBPqespwTtGKbCqZtoYRE4MLvGlr77Fuz/4gG67wXvPvbufZ+w3nF6c8/jFE5QtN+D77z7hP/if/xa/9zt/hFSWWWM5XMxZIthuI6vtyN7BHu+//30+/vjH9O2KOPZAJguJsQ1CBGpj8SOEVOQ6Rkis1EQiUWQWB1cYh/LPwhDIOaKkKcrkkzVZZIqJVyNkVbJ7cdwh3TwhJrYpYSqLlsWKR4poKQg5s10ViUciYrXBWE2tLG0f6HwPWfO73/0x2liaRrPZJBqlEKYgUUVSSKNAZKxV5KKg3D2EApPGkpWl2wyEtkfKhMyZLkRWquK9Jy842ox0MWJ2meSYy0HoKy/d5tZ8yvcfPuNyeUlKkeZgyvlqy2+8cY/L85f4Fz/+qJRKc3ESCCXJEZZnp8SQC5M6SebzPdww0LUtQpUPqhtXDri47IgxEK0hhvKh3seebiiW3SwVRpffSR4SQirW3RZTXefw4C6Xl48LTUN6lDQ8+ORDshR84dWXuf/sGaEvGT+tNEM38mx8SqMVSkR0VRFzJAvQViOFopoeMC5Pfmnr9HEs9kmpUNWUbljx+MEZzjnms4pOlOWh1JZEprITbGUoJdi+vE8qjXOU0pytmTUCow85OLzGs0e/IDiPToYxjYSYCp98t8rXSpThgXcYBVJLvCuUm6AiOQlGseOSpxKPSVEgUkQTGYaArRoSmaREsU1T+OTaVkghuTFv+M0v3uHiVHPz5lv86Bc/YwiXaBL37tzk4+dHBaXqAtkYovPIVGIRUihqLbl9UPO3vvQSaxf5zocXnOSWwXmqWc16PZKIKFFkes+eP2ExX9C3W0LKbNsNq/VmV8wrk3yXEx89XzGZdAzDSEQwOIcSpYDsQ0bgizU2Bp4/e0gKhSCihCSmREqezfaC1++9xq/96pdZrbf84Mc/YC8r+rani0XGFXfBQLGbzn3G8QeFUBI3OvbmB7TdGqkL2rePnjEHrN6naix+h7g7nC+4srjOlSsv8eqrL/Ppg/t88PEHIBKTasoYPG3eEmNiPp+wqCtGD0OAZrag7VaYaSaNCZ8gC8F8ViGHYqmMAfYPb7BdnzKdNbTrjlpatFDcuvYaJ+uR3iy5c+0mL46P8OOIUYYcI3kcWOzt84V7r3BzX/P9Dx9z7lO5tBtLlcFHgfSZ0SeE6SFYkm1wY09wDmUspy+elPKkUrihLVhFqehcQuLon99nf3GLMUmU3qJQRTalIiIJnAvFfK1MoYb0A8oI3DAiYi5/traMLiB1JkVQ0ZO34FzEqIKV1AIqI2gHR9xhU42dMZvuceEHsiobZ11PinwxDbx+sMeNqcaeGXofePDwPqfnT5G1xY8tnsCVg+v4bmDVnhFFYm9vQQwDl9sCZ+CzKWsU5Oh5+aW7vP3W6/z4ww8YwgXRF0JUCon1xSXaVCAEQUlW6zUqK5Sp8NnhBxClglAWeWSiKD0vpSR3by54dvYIQeDu1X0+OdmyP79SNnJCcmevYb3dlCKsMURX6GgyB7wvtKK/+vorfOnlW/zv/umP2Pa+eDGEZN07VptLcspYaclIHI6pVDRK4XMkh1xy+AGsVixmV9lsL6inmihBaMvtxZxZHXmxaem2SzbdBTHpYqn2voAvZMZow2dZch+KGEnqcvg8PnteCrsxkELCTmqyT8SY6DrPn7//nJjBx3JoDymhpMFWhhAyImZW6y0pldjLGEaSKuhQJTMiRkqRtUShXO85G05R1YzJdI5OgrFbsmq35XutFD5GrJaFgJQElxeFiDOOARUjQSaSYBdjmXL79l1OLp/R9yPzZsFmsyWnjEqR7fqcbgPkjAsglUWSdpsKyehatBRMmim+LzRFoS1awKSZs+0umZkp66GjHPwkIQyILpKTZ+zHXUG95uUbr/P4xQcQIiGm4sTZxWDyblMcUmS7bvngJz/Dux5Iu4jSv/zXX/gQv91c8vSJwPUbXBg5O17iPZAFyZXmd9oppZVSGFETwoA1lB9CzIhcBBeF6wqbfoW1FkTJkUsEQ95xyT0kWyIQSEXWC6KqiCoi0kiSpYjqR1da6ikxhBGtLUJmZEwEErYyGGMIUjCzmqQUbcxQVQybLdoYcogM2UMUhbaQFHVV4WI5FOiqmMlELCKTaBMjCe3LIafWqmTahMFoy/zggMvTM8xuQlxNDtiOu1z+LhtaSnnQDWNhWQtV1kKK3ZuwSHHKAVgTU8T5gJEw0YqJqbmIPVkEvEr84/dPGN3Aw/OWtCPiKCWwyrI3XZCiY/Q9LkRGMsYKXHDMry148nhFEoLHjx/wG1/+bV658RWuzn9I23quXLlR8IN5Qz2ZceP265wtN8TQcXJ6SsiahEGQ6LaX/OK938d1ayCBKDd2QSbTkbIijAmtLCqW1aJE4UUgZ8noO84vTshBkMZy+A6BHfIrkGJCGomyhhwls70Z2/WK6ANCKpQEg0Tp6Q4/6XEpYbREZBhGh/cjta0KIzYHbNLMmr1iG00DIYx0zjOdSfpuTcyRHrg2nbE3nfPoxSUxhPJ77DNCZaSU5bYeMiYatmFkPpkQSPhuw6SyqGqCz5ZPL7cYpej6FnYXksVsxnrVooHbB3PUk8+Mo4bLzcC/+LMfIsctF6tLerfG2gqpEpWqSDmSdGKMmyKyEBmhM6PvyDISCQgkKMHzkzN0hhAT166/DjHw/OjTQh6RlKmnLK+drtvQSlkwrSmRU1+wrSkxhshkumA6rVlfLpnPp7z+2uu8WG5w/pLKGgbv0CGBzPRhQFu1O4QWrCtKgoR2eY7OaReb06RYpkchJppqwrXJIav+hEk9Ie3+PCk1MYWyIXGJaTMnikSmpx96xtHvHvyivO47zaV7zvnZC2bThkU9Y+hWWFGRSZhKFGSgKB+43bhBBVgcLhj9yKvXD9iOgbPNhtF5si+lKzK4WDjBJEWfBBKP0obeFeu0lKkceJoKiWGuLa/tGX7jyilPlOfRzy9RIhNVQpsJx5sVwkpuXb3KMMYiq8mJMZeP6xQgicRUwa/c2+PFMvJ77y/pxlzKqpctOUaEkogEe9MpajLncG+PlZWcnp3StQMhZcKOSNVYi08l97ldew4PD8hZ0A9bkpDceuleiRSIHVLPOYZxwFjJMIxFTKQp3YUYePjwCd1mA0qwvuw57V1haMtYkJO7gm9KqZBGBHhRBEG4Uuoeh9JTyiIR44hGlF6ECIyrdZFxZcHlasVytea8vUAy0kwbRFUzblbkMNLMG1Iqh88rB1P+rS9+lT969+fM1SEuBtzouHPnKuuV4/z8hEokDub7HA3nKAFGKaZNQ9tJVNLs7e2xHbfImPHDhst+y8MXLV9/7Ru4eebo4nnhpSfQzZyrt27x1hsH/Ntff52H5xuOTtdIaxlDQOeIFAGkKh2fBERN5wKSgWQVfuhpbEUCKmvwLuBCQkRByInalgPr+fJFkQzmSM4Sv/uJzWY1vivIQBdHZAHJYOtZESWlQMqQRgcIjK4I3tOlTbmIJElTT5k1B1xuT5CqDCWULNKlceioTIUwBkkguEDwfYlb9o4/eVHocy9du8LVq1N+9ukz1m3L4CJGGRaLA3zfw673Eki8NJlyc/8q3/nwCVlIEIkbB4cs1x3bvuPo9Bmn50f44BExkHIBDHTeoazGNDVxdGQKb1wpgcuBFD2Teq9ktIUn9CNaUsqySL559zZ/97d+lf/D7/6YD4+f0fclS362OkFJwUQo/vLnb3G67vijT84RoZi2pVAIStzOxcQffHjMECquHSzowhKbFWPK3Hv9bZSxfPzzd5Ai4kPAVJp7N67yytVDnly0bAbF8foFLgVSiDw7f4xOGSUalK5Zni9h0Kwm0G413TAihdkBHQS9kAhdQAOVLhdjh6cyGV1ZSBI/dGQJ/diDEtRNzWQyZ9bMOT05o5kYLi9KT0BaWwSOfveMCHHHYc+0Y08SkSwMWWjGoS8kpgSVML/03aAkjZ3hUk+KHW5MeCWZLg5wlydUsxmu60hR0rUBgeJgsUfvL0huJKdIrgySIvLSQlJpQVVZJIaUHDEVqeWVq1c5Pn5GyoGqbggeoncIXZOMQmYQMVHXFhd64tgRY7FK5wTzxT5CW/rNiqQLvjT6iMoCYypkgiw1lVKFKkTixdlznPfcPrxJ1/X0MVFVlnZYIcgMY0fOFBBLioW+hWT05Xzyr+0QP/qW44uMIzFsHT4NCEpWMOdEiBDjiDBFv+7Stvx9lwsVQkqULM3t4B2L+QExrnGuZGEhlwxy8BBK+bSuDFIr+pj44P5H/Lf/zf8FF+HDJ8/IKKrpDBlH/DiWA5mq0Dmhk0fs+M/rYVOKKspysRn4+z97TiaxjRkpy0pe7m76KhuSSGRVsFUm79BsShdLohKomIk+0PUtcViCyswW+9x85WWmQ8fzrmdIDonEKMtk74D3P32HMYDKkFVh8BqlCgvbCzC7F0Ucy4MtJowWyCxxoeTECJA0QCqM2XFE5YxPkm4YeDAWcUhWillzjYhjHFbk7LlYnkPKVErDTojjvStlRJ/o/cimG1ieLUm94o3br3Hv5TdIQnDt2t2SrxMbFtM97t15jdlsyScPNgQCKQ5YJRl92SikroWcqGY1YWhLGciXTB1GIKMqmD1jUUoW3QAlz+3HTCNrpJHE1CJ0hQ+OIrvJVFrjnCcYaGzDrJ7Qt9tdpCYXO6sydD5hjWJ5cUmKiZQkRloUkiAS0/kBznXsV5pv3LlFlzQ/fPqMSCa4QvLxQYOsUCkgArxysMe1/T0eP1+ilSkXIV2kNzkLwhCYVjVCCmT0WG1IsTwxY1ZoUXPz+l3O1s+5OD0pPQBlyyG33yB05ifHx7z74gRPImaBVZocBj44OeXoT1o6B/2Q6MYN1mj2mil9cERR3AhCBKTSaKUIXU8IHpFKCVEkiQsBrTUhJS7Xx4QwIvWuNBQL+lIkECJSKYOLkRQSQgQuzh8VqZpRJFcm4F2/RaBYbzf80z/6LjkrUopsXUDlzLe++AbLPvLR46d0gy+XWimx2tIPHUEVwoDRpoxlk6CeFdNnXVtEFhwe7DMMK/q2Zb1pScCsmWCVZDU4QggcHu7Tj56+W+IjSKM4PDzg/PwcN3g8Jesbd4ZFGRwRRYxDOTzEhNipurMHrS22yXQ7ysG161fYd4nzrlgMRRSkXC47UCbRQmSUtAgTCWNAC0kKAZES03pCTAEvOgYyVw6vI8g8W605W50xrw1vvPVN3nnvZxhhqYHtcks/Ot6+tkcIhvdPN4W+oyRRBV5sA3/vD+4zhMRZ21EbTZIRKQSzyuBCJu6EXjPtefjpp4AjRehih5UGbSwhOtrRsz+puX444fHpJZerS+q6RiqJG0YkjjfvXuXBkzL1RCiESFRNjVSOppqw3mxAslsle16cnILc4XBVXYrLRETOReiTBZWtaZQul49xF8sJniQEWSpyLv0CIxQilyx7O6zJKaClLZPp0WPqms2m5dGTT7h16zY6GzQ1o+wLXz1l0Iaj85Z/+sOfcNluOdgTbLdrmmbC2699iV98/ClnF2d00XN0coZ3ARkDKUWGYcPUVqz7tiBwvceqiufuBTt2I588+ZR+WGOk5tq1lzg+fUHMkeePH/HDuOL0eMOjZ89pphVTq/GDJbqOUUoqO8XHDjd60IIYPTl7ZJIIq8sFKRqCLz8rWxtELAlroYuQR8mEH30hlaVCDtPSsrALSCNt2qByKcCaypKjQOQaZSBFv9s4DcSQUUKjdGKMILUgpMhFd47SEqJE6EAKASkSe/szgh+5c+cuJ0dP6XNP7AOVkUircTFx97W3+ZW37vDGy3N+8eg5681QopCi4fTsnBzKgECgaZTgqN3y+GKFjxKjBTEFLi83qKrG7gyy3o3YypaeVEyMrtiuq6bB+4GJsQx9AQKEFImFX0XIDqurgpPNCSksZAcYPrlc8n/97rs8ODqj7R2bbsQqTfJgjCBK+M57T9i0jiFkYg5M64rFtVucHB8RvQMJqzGwSYlaa7Sp2JsestpuqIRiUdUlbigCwgjImk9fbPj06KKwzYOmMhpMJgYQVmOiYH824cVqDdrSjo5uSKSkSkw0B7QQBFciakoGppMpfdchlUaiMQqyT1TWEJQqP/8YMFJzpW74wttvcfPmbf7gT77H2eUZPmcqY8l5N4hWFASm9/gc0FKgVQYa7tx9i4ePP8GPLTGGgoaeKqQT2HpWhpE4ELFI/tIIQpNyjRAwdgN+9AitEEKyqGu+9rnP8+NPfk4/OlRlySEUmlYq31DOgg8//gVaVTughWexmIAfqZTCiArnHD5HjC34S2PK8/rqbMHewR4nZ0vWy0tSKmcXq+HG4Q1igOXlScG4xnIZzNmTvEdRhk9RG0QouOxNd4oyFZ0faX2hrA3DiMgZLQKjL7HgSpcY9HYc0MaWZ8i/gq+/8CFe24oQHUenJ9TGltJE+KypXmIRwlokmcmsYblaEmO5iMVQMs0hC3IoGD2jGpToSMJDLjrbmDxVFkQpeenmFcaQUbZhtd7w4vFDTp4+BalwKSCiJ/rAEEtWS6jiB/UhIm2NC4XR6zZb7A5Ldxku2HhPwiNzWRtao3HRo6QsN6XgsUrhfY9UlloUhvcYRoTWGCMxmJLDt4rBD7TdwFBv+Dc/9wr+4Qs+PTpjUle8fWuGyIHTmGnslOlkznJ7QvaRECHgCi0np5JvVholE1ELlNJYrfHrFVIkkhTkUCyAWpc4jDWCFGGma37zK2/zzkcPOFq3uLBhcXiAj5syJRCGPJYP6JgT1aRh2EaUEjx/+IzX3rzJ/R/fZ7V8yuOTn3Dj1tdp5jW2kmS5YW+6z96Nq1hdcbB3FZ8izWRB1B1+tWUYB5AGgSRKj0qKoRvwPuwyrmWFbpCFjW4MyQdG12O0YTJr2HYdUnmy2LLelMM/0aONKhMLZYojYN7Qjx1uaFlfWow2uL4FL5AiEpJC5cB2dYHMgiw1IiaUALTGkFm1WyoZ+ctvvc5fffMVvvPhU9p2W97oWpfipHcIJELGcujMFe89OSdJtSsoWcIQEJVGaYuUgts3bhFTJJw7SIFKKqhrkA1RBB4+/4RpM2W+f4hQitVqyzUb+da92zxcrnh4PrBxQ/nQEYKUI0pYGiW43LRoXTGfLdh2W0RO3L11Eyng0dk5Z6OHZCBEVFW030kqFAqMRlmJHikoy9wWQVAcSaEcXhF5t/FJzKXlpYOrfHJxVqI4EpQyCMHuIQ/t9hyjLdWkxo8ZFz05eaDEcRg9RhkqI6hrQ9pNUq1R+OAIyVHbKd45nJdM54doabgqPIeHc358dIa08LOPfkJOiaqeg2iQMaKS5Btf/Qo//fgRF6tLHjy6jzQV0Se0VcTkGbqOaVMRomV0I9YIOh+4ee0GNw4P+cWnH2KaiivTKQ/PjxmDQCpDZRtG3zM6RzWZ0ruRH77/KTevHuJGVzKuuXgaRICEw8eMloqDxQ26saVdn2KUKKhBLRm8R0lNrSQCww8erDlad/Stp3WZxMDDhw/IIrHsusJfzxLnHM1EMGv2eXAxkCn0HITieNWy8q6g1NAcNjOEl3jX8sVX7/Lh0yPO25EcC5Hi61/9FT7+9ANOlysUAUfC6pqQSvnbp8zZuqW2NcuuZzuWSKGUcHz+giwNQ/RIoZG7w3roPT4ncu5KeTn7XxKGfkmKkqWM7r0rrHBEueCoMjFs5vvQD4gY8NGRVOH6J1Gm9aW4KwmifEbLLFHakD7LUBtJVTXMZvsIpdisBX2/RinHtCklx67b4neF6MsQyGTWl8doVeH7Lb/3+/+CBNRGEUWJFUDGGIuoDLVKdEEilURF0E2FFqb8f7kBY2u07BmTY2pqxgw+jaQQyErxyeMzHjxZEpJD2gmDH0kKvMj45IntRcH15sTgerx31LXFZIgZ2sHR2GKUTQSIiqaZ4ceBfhippKSqygWSDL4bsPWMECNHlxfs7d9A9FuSd0hVIaVi6LdYJYm5dFESUM1qos/knBEpooRC5IT3jslin9l0j65bovyImkwwSTCf73N8ds6L548QyqOqikobog/InPE5cLbe8KP37vPsyNKPnuvXbyFiZN215NHvDMWGmCU5J9ZDxvlIpSU+ln8++JEqR5QREDI+R8auRG10ZVFCIGLg+nyBzpmHz5+RKFhOIXZbIsKuc5eKlDJ7YhYcLA7IwrD0ju89eEYOiZQAqXG+oEllUvQhEshlM5kzKlk23cgQX4AuBCwRRtCaP/3gMURQdYVLElNrPv74fbIbERKGGDFSo/CMqSch0Clz7/YN3n7jLr/3x98jRYHOgsl0wePzS0yOIBNj1mixoz3pK7TuhJB6UlRYBNpUeMp7L4mCnbX1HGsaLlcnBY+K2HHvA8YavvnFl3nlzlV+9KOGFy5QNwYtS6xrb34NJU4JKRArQwyxDBtVkVGenj0tIi+tcWFnsI2G6XyfeQVfv/0mf/zJB4weZBIcXJvSrra4vkXK0vUpaOxEzJF2dPzg3Xegkly/csB20zPEgBSZkMuRVRrFTJfPZ60lKTlWy5bgI1pZhExoIRhJ5AxIxfXFnG7omM1v8oU3v0q7+jO2rKmsot6bQ/Z8/OxjZIYw7tIexiJSQEhDVRviUOJy0cXdBR5U1pis6LqemHcF3BiYTBZM7AS3PEEIaMeeSivm0ymvv/4q7/78F2y37b/0If4vTKdJueRONTC4kaASSoKqLYuDQ6p6BoJChRlLl86YCi0qBAW3o6TBKIMwgt5dUDcVui6CCoUi+UhMAl1XnA/QJw0Jhjiw8T29a1mtT3CurOumIpb/LpcIjxQZqwoxxIpiU1U5k2MkhUxMicrqUsBVgixzKSylhKKUSxASkTUpwbyuaKopPkWM1bxyZYbdlVFzSijg1cM5Vkmer9b8/T/5KT9/dIxLjq7vOVmtWI0DciJJxGIZG13JmomEMQKlcsmdEhm6ARFVwbe5zLZ3pWmVFGJ3W1S6oZ4saMeBiEQqcDnzp+99wslmi6kt9155ndfv3kP4xJWpJcWWIUVyhtv7NbHdYBTUtuad773P575wj1def5noIp8efcKjy6e0vmUysRxONTdvzXj1V24iOjhcGCYarlYHzOsbNM0eIJnVmhzKCtBHh8AU060u0yKpZGGrTqclXUUmZghRMHQOKytAkf1OFiJNQQi6CJTLyuA9bbsh5ogQmpwCKRYJVcy7Fb2SCGML81ZpjNZlyu+LRTCmjEkRLcCLGe8d9zxergkpFttaKsjCq7M581qjdeHiujwykrCqlNz0pEJqzZXFNb74ua/T2DmPnj/j+ckxKWZm04a60VxtNFfrzK29GfsHC9rxksXeDf763/rPmC1mKKvZ+oFb+3tcP7zBtdmCA2PBeWQuHPLRO0xVIZTCu46SNQvcf/aYj54+5fTynGYyZ2//askUx0TICVtZbKNwccCNnoRjPWxwfsSHYiZV2jDb22cyWyBzuZ60MfJ4eYLQgqRA19PyAZs8QniUNUQCWeWCKySTXUSSaJTFZoOpLD99ccT7Dx+y7Vt86MvFoXfEENHW7v68BDmQh5EUHEPqON6ugUjyI24cyZnCDqYUWbdDx5+98+ecXR5jpMZWlquHVxHSUzcapSVtt8ZWlpuH+xgpCKrw6Z+cnvD9n/2Ytu2QOXP34KDk/3PCx5F2WBNyIORMiKFkMrueJy9elIl9FtiqyOSEMBilMKrCGMt6fUq7XZJSIKWM0RaZ4PqNaxxePcCh2AbHs3XHcmy4eetlXn/lNl//3MvMJ4kri6Zs4GrLjcNDjKn4ycMl3/3ohFRiydgUED7R1A0iZoYxMYbA47Pn+AR9VHzw5JStT8ymE5SQjKNnWG/L9FLrwsGXqshtMhhbdPOXbSCE8t5KMZMjxfosC12GEKiUJoRI3AENhNSEELBac2NxhUZPgLArKabdFi6W6E4utApbVeSQeePV1/j3/92/xsHenBAGYhjRgBaC/WqOFTs3gZRUxpYsLoIxRoLIxCjQQtN1W9arNecX57hUCFIRWMwm3Lv3EtqU2J7Iid51u21AQtUVQipev/MKs0Zja8utm69RNTMgk4TEeceL0zPOlpe0XUvIUNk5X/vyX0KpGdLOCSmTqookMmNoOT75tNgdpUAqAcETYkBGS44Z7wXjMOJ9Ya4LoUBZEuVcYLXFh4jLCaUKwsKnsnUSUpFiZD7dR0qzi7pJhiGSfOHWa2MZnSu+DqMQ/cDX3/4VGmtwcaTrtliVUVIym8xIMRJzIIay9C3kssze3gEHV24hjeWNV7/Cm2/8CpP5AegK6SIYwcnpU9puiesHZnYfI+SOYlLIN8ZoTo4e8Oz5E95/eEwta9bLS5bbFUF46klDEorBB3ISeF9oJ+RiurS2Zn/vWnnvpwShuFGkLDIqIcGPPTFE0JbVcs1qvUFrVaRc0TG6kX7sSq9NabBF0lCE64HRJapqSkzgugE/9Aix42wKQUzlzAOBnDJjFkglQWeQuvRqhMA7D0iiL0jfnANjv2W9elFK3DrTJc+4G2TGHBGmDFZULhHSdtNycTGSYizlyTCy3pyRUiBnRXAld+1dwvUjSpcJdkKgKoW0FdbMUdmSfKHHhJSZLK6XZ4dUBf1sK0Rt0XXDph94+OKS+08vGYJDmIwKkkpXGGFI0uBDwPmMbRoyZSgWsyDEwNhf4ocVwXsqpalEuay71LPcbPjzTx9Rmaaw02Vm03qSNEynk+Ln0RpjLUKAkKlEfcXIOI5s1muGGFHWYrE0jUGLxPWDWxzMrxF8RIVMjqHYsIm4NNL6rkzFg8QPEd/3HJ+dse56LlYXfPjpRyyXRzsjawaRyqWbVCKdnzlvcvFWGGvJQuNTKBEjUyN1hVIVQgvqSu5syhGlQUqN0VO0qnavFYO1NVGUGNxnWOZ/FV9/4Uk8ckRgyEmQ04gMAplB7pTYzgiEKx+wY7uhNjWv3XmJ7WrDyeqSkAN3b91js12zHlakFDEqIpVC7YQY9WxBcCNSCMahLWixQaGFoq4tQ9tT1xPGMaEnkV97+y2+8/MPMJQiRU650NQjxCgxtWVaV2y2PcvVmrqZInIpiM2nDW3fogSEMRCjL4U9UTB9lbS8vjelT5lttyR5sEITRkGOmkEkpkrwlVvX+emTNUdjS4qBmFKxD8qBR2eOSAsaUugQUWC0JClRJCPeoaVEJomuFHUWvHL9Kt/+/Mv8o+//nNXgkRQTHAakF4DbYRhT+dClwvvM1vck4amSZWIl6+dPISbmzR6XW4/Uxe43rQyVNVxsO2BAO8X3/uCH/If/6V/h9//vf8LRswd8/0eBy8sTmqli73DK3S/vc7hocOvM9uYhg+8Y245nq55pLgU0CvANKUuMSWRf8GMiMZEVqEhdL5hPJGMXqM2E1iuG0aGVZXRlxVpPGkSqyMMIKZBT4b5WdYOazejaNZGANpqQI33fl4mRBJEirx8c8tHxEVI3VEYx+iKUElKUB1veffgozS+Oz/jZM3h88qyQEjK4UCyE1ja0zjMOAUTgk8dPqSvLpKnL9HV0KKl4+eW7fPNXf42zo2ecnm0ICF452Od/9OqCB8uefjFnriqerVsunl2QY+T46GP+4F/8Du3ynN4m1s9G3BiRGP6Nt9+mbdc835zj3YDScOfll5nbmvfuf0r2nmldszedsB4Dm3aNALrVecm+7zT30UeGNCKE2iFUwfsMBLRV5b0SyjQhx1Q2GrLD2pph2zJkAbr87AtJqjw4QxJIUVFJhaksYyq4zyQctS5TvvwZRWkI1HaGtZkurKmFpG1Lyevq3i2GoWezvQAl6MMW5cBpSRYCbRVD7xFSF/SqzJDKdmrwI+1Qsrwh9yBgOm+oNhO67UBMFCGVizxbnhDxiBDxY0KrEpGRCi6D4M8ffUo3BiZ7+2zXa0IqOwMjy1ChspoUBFlkIuXnJVNGUw4JksK0HsaByhgaKclakERkdC1NU6Emc6Qrk3QtJHdv3uGbX3uNN68azrrADz85YvSWy8sLXrp9lbPzluXlkhQcY4xF6oMm5lwmli6QkmaMomwGQiy/i+ColWa5dWViqTzGatpu4IPHHxKSJ2dd1tGpSHLqqgZS+WdBkEw5GCl0mcKGiHRluoQpRmWFQNuGwyuHHL94jssZLRybNu7OPQJVQY6S2gpiDlS1Ld0VrQrhSyTc4KjMlKaZIY2iqSquHVxlu1pR2YYhDuzXhyzdijzGMn0eRnQuLoTJdB8tM8MwlNxz8Dw/fUD0gRA8x0dnrJYX4CKQSEJQm2rXGdKEMJKi4MXJGWEEMYHV8ohMYjHdYxx6RhcK0tLIwsiOEnLm8eOPSMFhdYmdLVeXJFVipVoItDHElEuONwFCY2d7VJVhwpYxQDvGQjUTuvCKhUJpjSSSfSJnzTj4cjgpywHUrr9wfPoYkQWVKQSaGAL1pJDYSoxEc+fGLXxKrDdLzlaXBFGY+9EHxt2qP2eo7RRpE+22JUrNRBsSmtGPmFzeS2fHD7k8f4wkMpvtEcYWoSKT/QP80RlGaCpd490pSF02JrmUvT2JUQTefOUe2o+8f/8BhExwA7qqMJXCDR1GyyJ/iiV+OZ8fIJUieFfAEcJSVTOs9my6DUJWTGc1fux3ZLjEenBkEQmjQ1uJEiXGG+LOvl5Zbh1e49nxUfHLKINPLUcnl8QoaaxhGAJKUraQKmOlxlpDcMVBo3IRciEkVomyYREWJQFVukVRlb8WGUJ0xC7tJvgJIRRaZpIE5zxKybJ5EpqTixMuVksGH0rhPkaElIiQGcSAQBP6gPcjVim6/qIcOsVnUSdLPxYDb5YZIxRaJXz3grsvXaNZTHj35x/T+aG4OKop2/WWP/3RL9jfv8rpek1G0qeRsb+ksg3zaYMb9hkvL3HboZy1skDqYm7tOw8yo+pygSOCjBHZDkQBF37Ft9/+Cttx4N0HHxH6lpAFwzCQdx1KF/qCaw6xSBhzGZY6IRDKEmNm0SxwocOY5v/D25/F6pbm93nY845rrW/a49lnrjo1dnX1xCZFMRIHObIjy7KlWHLEyI4RQ1AcIDZs5Ca+y00G5zpAADtAjNixbENRJDuhTIu0RFKkms1u9sDq6pqrznzOnve3v2kN75iL92teGhQksG4aVUCdOn329631vv//7/c8KDMmdgukMty8cYvlZokzmtwtiHGgriuid4QkMPUIcpH7uaFntbzA9Qvefesu55dznp8soU+lcxUTvR9QonQ0EREtFUO3RqmKJMB7XyzFFG9IprDqYy5oUaQiZ0/XXbBae7SW+HYF2hASQM9nDx/h/T8LNs0/CWLSeazJVM2MN+9/k0efv4dPLQrBYrmgGdWFnSwFKRXkZLcomWwfPDLD8ckX7Ozd5Y3b7/LkyYesNh0ylUnrbLLPG3fe4snJCffv3OCjzz5AGc26balHDY2p8aLwhJMPbDaS733+AqMryJmqrun7olA2UjCd7eF8j/PlUEP2eJcYV2N+5hs/y81bR/zm7/xj1n1LzxrXd1g7JntPZTVDDnw8XyGkoUsRjeD5YkmXi9BIC2i949c/fUnyrtgElSjYolxunEJXCBfIUZQbrXLlh+xFIZoIXUpdPhG2mKTTxRXf/6yQY0CxM5uxv7vLw0efMbYGmSDJiqqucHEgIzFSlUNTlCzbNR98/DFaFnPgR8+eY21d1kwy8+RsSes8tVUYKclR8vLbn/LOl1/h7X/vz/HpsxXPn10xPtTcubfPq189YjZpuOst3UxzNp2wMztkdaNnKeYsNmfU1Qg3rJEpI8lgGuqmxq+XaAr7dmIVMi3wK9gf70MsxRpJQluDS44YApv1JUlqyBKtJWhLTrmonHPGGFVIM71DVjXGVoiQQII2NR8ev8Boy4N7N3l5/IIuhoJR8z0xBWpdbLQkyZPjF2Qh6ULEGoVKIOuGIQROry8Ky7ZRBF9exlYbDnenrFZXhCjB1Lz/wfu8PHnBcnG9LXVrMon9seV68Hz19oRb05q/+3tX+G5ZvhtZ8OLlU5LvmaqKw1GNnCieny347hcfIXLE6mJ/yyjOzy+ZawHZU9eayXTEaDLm/PkxkPEhoaUky0RtbbHTCUmlFUMokrXZdI91t2AYhsJYFwpttmgxt8Z3oEaGymp279xlczVnIP7hIUkKVcysYQBZ8o01E2aTAxbDJTcPblAbydnpCSFE/vRPvU2Wih9/cYrKGVpLJ0pkTmlD9AO1VoRJg0iGwQ8lWrftP9BnQsxYU8q00Tvqcc1ksku4OgOxLXL6ctD/9NMPkQoQJdERkiP6hM8eSDBkpCxlJF1bQuuRInOVOlJWpK4nC4HUxcNgpKCqaq5XKzLln6Wct6x0W/4+ZqQweD8AkqYun9UqWZLICFEss08ff85IVSQhWXU9L67OOZ/fYrEKnMw3fPr8hJPlNSlpJju36FZPkS7gTcKFtkRYlOJgqtBJcbEpL6eQEjJFhFUoK8jeMaRccqzZYGWD80uUyiVaIAxSgwtpm51VVLWl7QaMEHiVWPueqqrJrkQKnCumy8GXom5Mjqoa0/ct5/MzEJKmmTCuBJ3rEVkS+/J9EUSyNuSh0EGS6NDC0A4Dicz16orf+L3v8+LkOSNb+lLHp8/RUnG1WJBFyYxKBKbS+BgwtSSiSF7iY0AnUcpnCeqRxjuNlIVW4qFw0q1FeL/1O0SCiCgMVhpiBdFENq1jJmds1nNsXTF4RTf0pJy4fbDLZH+PR0+POdg5QNua88UziIKhTyQ0Cc/IWqSpSN6jtcC3LUoZlJZEGeiGc26Opvxv/tWf55Pn5/zdf/wBK5dJMkOOKGEIKZGjL4QYCU1dEVLZioSUiD6UomHyREAmCyJT15Z205JTidQgYdMtGJKg9S3t88+3h1ZJVgolFIPraSayTMBDwNiK5Bxoi1YGKQNKeabjA3SVaIyhaw1CBXzT4PoVi4slN3ducnZ5zPH5c4RO5BCwxhC8IwZRMKaD4+FHH+GTLzZbocgYdmZHrPu2bPSyIOVAjKnEgoIr9BdXzglFWF/wvlpmDvducLG6Ktv0XIAZYy0JCDpVcJlKqgIJQGKsQivLG/cf0A0r5suI0orky4CCLPExlc8/gUgkebh//w364Hjx8glWG+4fHfHi/JQEECOaTO87kAJNZmQ1yQqkmtDIitX6GqMNXb8pEU1dxItaKkbVmNGkYr7IZSuTM0ioZzWu82RVYCBGFyeHlBIrBCO7yxB6gv8J3tVjVMQNG4SA6bQUt5NvCT4wncy4e/cmWVhGo2eEVaQea0JIjEaWq+UVWo25eXifR6dfIKNHCUpc0gX64NFa0RjDOvQgRIm7SY0nF2qVL0ZuKTIhDGihGI/GRNdxMb/g2jt632OEIZKo64aYHVIa0lB6HcmYchE2ElIok/pcYnyJniQybQo8evoBboioSvLs5CVGKXZ277BcntPUFVJStnKkgnFMgv3dQ9ywYrFYYITg7kHNK7u32bSSUTNl1W/YtPNiflcaYxTNyOI7RzcM5OAxlUYRQYMfAs34Bn6Ys+43SKm3kdMS/btxeIfLi3NCNxRUbExF6JXS1nT/x5yJF4lSDNva37KSxAGyiuScaNsesSUMKF2sXCfra4ys0I1C+oSPnlV3wfLJHHJgZ1JxtWwRQrHeLPj4i++TjeKzR9f0vkeLConAdT3zVOgWBEcm0CfFl+69zeOTJzjfbYUruVBuhEDKgc1qiRBQ1xZyoveeg8NDHrzyCt//4Q+JEepmxHqzRGldDjwpEbPDZ8pabkv3yDpCLE10ZUyJAFAmk2J7YFrHwEiVIqcVhS8rVEDLIpwxogIfCDIX7nwqjfYsS/ZRRMVq7fjEnZUIUgysV2X9GZVgIPPg5j6LzQabI8bUBamH4XrokKZG24xJFIV5VhijGNVT7t0+4np9xuLqit2ZRUjN7uQGl9dXNEqy/ugpX3z0nOM7t9i/fUS9M0V6yfHHV4wODNeHFhcTKSpqbRFZ4/uIaztqM2a1uoasC21ISZr6gEZNuFo+R1rJrLHcPjhg10aIgsdXA7aqCVJR1zNyhnVY0FSWr37py3z42Wcs264QQyIo4XBbWkBBllYQITqPUaqsqOIAIiKk4OJ6TusCylRbAkN5mTi/NaXKSIihTO1SJCaPplAicors7+/Q+66syqNiVI8Yho5HL8+QyqJFJMaOHDUXZ2dEirnXVAJz9FX+i48+ZM9KvvFO5tYsEeRQtiqxmG5zzgihMLrmm/ffQFSKZfeIeb8iD77gxIQmpcxquULIjMjFEnt2OefkaoGIHqWrwoQ2hVzRD6HgwEy5BGAEPgz4sAbhqawlxRqlJDn3pCAJKpNTRg6BpCJt14LOVDHTDa7kNZWlaaak5Hn9was8Pznj6OAByfcsls/oTMNyuWFIiboasXGla9IOnuQHRvUUYRVOBkyzy2R3WrjLa8f+0T7ucijq85BJOVGbmrqmMKy14p3XXuHRkxNc6zBCMaQBWSlkksQoIRlkhkpZ2txt88UOawoGdHAZnUthPWPI0hVxSC7F+hLx0bi+ZChTkghhkNtYF8JDiGQkg3dYU76zWgwIUQ5X14sVgczuzi7Od8xGY4boWK42+NyXaZ2ZkL3jZh34++894eHxGat+IMeKo9kO3fk5P//mIe2m5f3jJceLMkV8cLjDv/UL97haZP72957y8npJpQW6nhLDgOgDu/WUXAsaYVl1PTv7t5FVzdX1RRH5GENTj1msWrCF+dz3HUMsmf3KKHSWZdOnFM1oQhvd1pmhiblMO1MYkCLTbwYqWUNKDH1ApMDuzhRBJGRBZCALTcYxeE9TWVIufgVBYLXqCelzNt0GrSTRe8T22WJMImYJOWKUKOI2AcYYKmH52Z/9U3zyxUecnxxjKkFKK66vA6SyOZpNxuzNDrm6uiidLC1JSPwQMNs4xZe/+g0ePvqCq/kcIYs8zGVN7h1+CCQpqJVl2bZsQoSQuVwuqKsWFRQR0LWk7wZq0zDWU1b9Gknm1v4Rj9wLYi4HCWMbtNXlJW4idqzIUPwWMaGtoFEK5wMOgTIKrVTBA8ZIpSzjqsFow9sHu/Ttio/mc4TQuKGUOpUsmObpzi363HK1uCJT4hfkhK3GpdCYEsGVdVSkxGgQEGOgqSb42KHJVHXF22+8g1aai+WCcTMhpw25L4MNW9Xs7I9ZLwPKVgi/QSUBlUJRwAwpl4FeioHlZgGmQqUIUjDbO+L8/CVJDAiRqSrNclXAAill+mGD0poYEklqdCVL5EoZRJR/aJH1MSBITEdjjnZmLNctIQZ8FGVgIQVSU6g9buD7n/yYYbMmuFKyjCIjZVU6HTFiaoMPGq0MXWx5+PwhMksqVdH7nuOzM3KKKGuoR1M6v2FkJpiUWa+u8ASGxcDO5JD9nQPWmzlaJqw1RRoYQSCKuCxJVosNMSSksfjBUeUIXpf3ar/GhUAyBiEMDAGnJAZPlKlImgQFGJLK4GBUWzabJUbEskkVihdnF6QhsOg6XArc2r/B197+Es1khw8//QOevHhJOzi0h7AZiEKWzHyC09PHZC2IItCFcmbxMYB3CATGFIJRH/piXu8d9+8esT/e5eHzE7oc+PTsWQErqAIBMBhkFgzeIct1lBgVhwdHdHHA9xt8CjRCM8TAuKmBjCWTi3ERXRW2gCfik+f45DOkFvg4YIWlsQZfkFqkFNks5+Qc0SJzMKp4+HzB22++zVtv7ZX37NPHDMEh8vYcGAXdsoOUyUEWAEsUuBCQVgGSYeiQUqGyJlMINjpnskoEBrCJ7OPWVZPQW3iGJGwRp3+Mh/hKSDb9QIpXvP/xd8jRoTJEXziyikz8yU3WKqQw7DYj/uWf/jq//eGnPDo/obGCvl2Xm5YqX0KpDDkkpBHs37rJndv3eP+Dj2gmk20e1qNlhRsGxvWYIZciUUBzdnVBt9kUuYF0ZS0VtnzjXqOMLuSQkAsRRVheXpzy//6Vv0PX9mQBUqVtFEOhG8OwCficyamsSrQak3yJ+PQJxrsztKoIfUu7aYl5wAiD1DUyrlG6IrpNOeDLhFANMfborZSmqIEVxm4fGiEjtS7Tylg2Cpt+g9JbF2hKpNhjjCbECDrxyt1X+eTjj9E5s7c35vRqgdUVnVuhjKGSU3abzLJb0QP1ZMRf/df+13z3h7/J737r12nXgUCk8wveevUdLp5/zn/4ux/RBcXAj1HVDq/dv8edm69w82ifJlSkPCKKxNIXXnPnV/TXJ6TQI3KNqaoyLQoO4QLL9ARrR+SUmeia27OGP/vGjJ96cIOLxcCvfXKCe1EiHYPfQAo01vBz3/w6WhlGdcW6a6EC1yWSA1Mpgo9ls9GMSmXe91S2RocBlzPWNMjkaIeMqipy9Ft1uSqEkiCJAiTF4DZsm/ZISc7l3l6bGrxCJk23WZNQ9O2yIAVzRqpS+JOiiCxiTAilCCKgg+P5ox/z1XfuIVzLr/34hENbTL19irgYy3fGanTWLFcrfuPjz9nZ20FVFTMlaNOKiCs0EqFLNj17jN1mYCNoWR5uVka0Bhc9VV3j+8Lu1lISYy6ISCRt50pMRWZE8vQxYusG2WTEUMyuFkXfF5CyUQJJwWcaNFlF1t0VOWYaU2Gk4NGjD8g5EHNgvbwixYDSht453v/4M5RRHO3scXK+YjVcoGOJctW24vTlGSkNuOA4vzwuzwChgYwQEURAY+liRCnJxfkVOQ/g1ihZIkCpj2SKxXi8W7ZomsTR7m2evDgu4hApCSEUXKFUVM2McT3lZBiKqMtajMikGGmkRumID4np+DZ37txm/dkP8GGgsnqLsRsQomKIqUxbcykAVZUipfLrbNYt5Ei1O6GR0C5alDFIbbl54xbNxPC3f+cj5k5x6/AIcXbG1UYw27vB7Z0dzuZf8EtvH3Le97ycr3A58OL6mn/wHjgvWPdt4e0HuHnnNRYXx2g1sLMzReSITBnnDZdnx/jowCe0UWW6pTNYg8mS0BasplFlDd770nlyOW3jTNdbCzBbU2omxiJOMcaQSaA9ISdMMkW6kjVv3djlxWLFdS7FvCQEYejZBMWto0OUFJydnuBCS1qVrkpKDpElOURoJLaucX1g6HuUUYzrEa0vJDItajofydLglSauO5pJTVWPi0jPFV5/UosSycuBnA0Ez0hXCCPxYeCjjz9gs+kIrsfoTDd0iJAQuuJgNmGIPePRba43p6yWa6yWBJ+47tvybpCS6B1NXeOcY9XNySQmesrPvPZ1Vq3nenVFzMXS2bvI02XP/+1vf59laOljQje7xOBKYdEVelCmPI9ScsScy0VbRJLv+BM/9Uv8L79yh0cff49Pf/ca0VRUMeOCQ0qLS4G26wmpR1UVo6ph068Zuh6r9BYNWhO1RwyZ5AZiLMjALAxWG4SSTMZT2vUlV5eXgMFUCqkceUvAismhk+DW7g4/PP4E1/lSflei/MyyoKktWlasO4fLHWSFTAGUQuaESAHv+3LIFpL1ZoUQCaUF3pVtjiLjZS5bwwwCRfQJROT46jlSV1S2Kfn+pmHjHZfdkhQzWlpiEsRcvA4yAlJyfT1HC8Xd2Zjj5QpldUGsZo/ICeccCAguo4T5Q7pdlhlli9RMCoHKCTd0HOxMuVxtaPuBSkuc9wgh2KyucaGjbirWy8UWDiBJMlGbSSmnxo6u91TalqmAygX0IQSjg12Gc49VBavc2BHLzTUpZHrXkVVmNKpwgyOR0EoTfdoasIvjQGpJJKCkZe0dwQ9Md6d882tf49/8K/8ruqFlsVhy/OKcs7OHZGEwQEphG73yVLai7zveePUVrq4XrJcbsowYJD6U7WRwHbdu3cO1gbW/IOTI5WrOol2UgWRIGFXoMEIbmu1mux+K3G/d9yihWK+v8cnxxmtv8Oz4Od3GI6RF6TGb7rJE+bZEtdF4ynK5wChLiAORInkKIbLuPFZpfHaM6oZQ2JIFXiIkffQ8Pluyd2T4t375r7NJjv/0v/q/Q1qzWnWkKJlNx7z74AbPz055/GKOT45xNQKrURqWriekDqUEKWaUKs8DpSTeBebnl/iQSFIyHVsYEkM/oKTeejX+mDPxUWssectzDlRNVUqaLqIKnxGfMtpqknD4IOjTiLPrJevNkhwjPmUO9g84v7xiGBwuKKSxpV2cBZPRlLtHN3n88CnT6S79ZsHF1SnVaMKmXdPFJVIqXErsjCdcz1/ge1/EKN4VBJHWNEbh++1LIXqiiChVk6XA9S1DhpATElkyiRms0hhsybeZsiaPIjMZ7YDwrNolwSX6dsEb96a885UZtjrg9GLNh5/NS141G9b9gBQlBzkbTdg/nHJ+8pLgy9SlyDRi0bILgdIlyylykSl0Q4+pLSEElJDInAsz3pV869MXFyh9BckhtOH06oouRioSZEGMmWB7/idf/zJtt+LvffCMRk+Z1jN+5qt/io8++B4Xlydk5xnSwJPP32MIpeCmlQWhEalnsZwXGYTsETguFxuqakbnPVdXcxaLBYuuxYxmdC4jhcSLjNFjgh+YjKa4boPOmSZGvrTb8Oe+foev/Utf4eyTS16eLfnixQUxeNp2hRQaW8Fq4/jo8w9wfrsu9oWnn0X5WWltMbVk6JclYrC3x9AN+BgxRuNCpmkmKFWBFqznl6XMk0ohSkmJ1pYQSn610eVLmYMrFyypyRkultdkmcmUSe10egOZJet+WXjGocR/RiNFP/iSjhKCrnfMxj0ffPQ5SiZmVnEyHrGORSIhhGZwjpxKHCTLzGroGK4jWUhyCOzuHRKurjB6Gx/LMKqnHB4ccPzsBUqVQrNKCpKEFMnR04tU8uiC4hQwFVJYYuhIyZFVIWAEWX7WKZQ1aKXH2Erwz339TX7nRw+57hwJhdIV+CVVtf1cZUlOPZ988ZDeD+WAlzMCjchFgZ5zBjKT8ZjBdVyv1viQqcY1s8kOXbemXV8QkyPLzKhpGIIjkgqvWWSsUIys4n/+z3+FX//OZ1wsHHdu3cO9eMZm022Li4VIRQwE51msHLuzCV3v2FycYZRi1IxZrDforLAyIrQs5dU2lUmaVLgQ8DEzqjQag5KF3HK9PqV7dIUg0NQN/dCxPz1icGcIkbCyRBoQmhQHXBbb8r4gUSZiy/WSqBTCVqAEX3r9Vd55620+/Owxnx6fE7OCsIPLGT+s+DsDngcAAQAASURBVODhB5xPd3hlH6ajEctlR991ICVDTvzjT0+opaVNATAkAednT9kbN0id2B9rHty7SdcOfP7siufnc5SITMZjnAu4LrE7bvjZP/U27338AS9Dh1UjrFCFZhQD0ihiu0Epi8qK3vkidJKCvf19SJKzyxMybGECkuQ9Qgv2Tc0vvDbjX/3mq/wnv/OI7zw9Z+jbkkVWRfDk+gFERlGMyyl4hILD2R5DFLgh8lf/+b/Aw5ePefzsCVdqwWqzIecNMZXYXMgrfveHv1OoXrH8MyUtu5ObtMMVEnBDz3K+QFuL1AWraytLTgElNJWpWS5XIMvAJiRJCAMxOVQWrPqE1JIh9sQcOdif0ftIv3ZYZahshVKKvisF1KxKkU0FzyKu+Xvf/QdMplOq8YzlegE+I0ioynC+7lh3GyaTQ27svc7J5Y+JOZK0IdKV0qOPRRSjFNpAjJFKav7gR9/h4smE1l3RZg+bBTJLhhipK0UMgcFfk0XAiAqBZuh6jNS8evcOx6cnLDYdKXkQpfCrhKCaTui6QMglGta5jpAlJ89OaWZjbKMY+orgStBEJ8m6dfz+J5+Wi6PSKFOTck/wiawr7PQe66szskilJIjaFgczN49u0vY9SiSa8R5duyDngsBNCYyVWGmJKZaDaApbz0zBuyph0CYjUmIyvk0zaTg7fUjyxUGRt8S7Ilz0W7tzZn93DzuasrlakvMaa23BdkpFthUxBqxWDM4zGU25cfMWj548wggFClSUCIrZGV+kjD4KhCh417jtXyld4X3PW6+8xenZFd5GUnaE5EuPRmqEKnQ7lCqldVm2T20ITIzCtdck7/B5oBaKrt8QUylxylyegd2mLVhRJM2oIknoUo8UAq0rZB74uTdv873HZ7R9AYfsYmimuzw9PeXzL77g2fExLjlCKtvISk0xaaC2hnm3RCvF7myHP/OnfoHv/f73eeqeEV3p4kymY4L3qCy4d+s1js9fcHHtYV4QuVKqEotF4YaWRllUSjgRGXq/pbAV7HDV1LSbBSkplstr4pCwQmIbw3J5giARtUYEz/7efkGRpEhdGw5v3+PF+QVD328liIqkYWTH+BCQuWKz3pCFYFxbzhc9o7rCpUys9nCrE6yGvfGEdu0QInNzt+Ev/HM/w299/31eLNeYoQx8Y3Y0elzKyykxxBJhi95hpCEKzeHBDt1mQ9d1GGvpVgM+eypdM7YjNn37x4+YRGuic4WtmopVTxmNEQrnfOHWSjAiI2MmDpnrcM5/+94FNm2LHMB6U1iiYsuzJRVtrpQVT5885+HTx1ih2R3vsjvZZWc84+1XXueTh5/w7OQFUUIQlrt33+STz76HwBcba10ztA4tBHf3d3lyPi+r81huRi715KhRUpJjpK5qRIYsJW7oSEqy3CxQQtKMpriux7uBYAdi8pASrxwp/sZffoeDvYrPXyxISfJn/sSX2Pkrmd/8zin/7bfOuM4DISS0lrTDmngeCL5cUsiZGAsnOTtffDdNjYQiwtEamzO2rtistmgkUXKco7pgB51PJJfKCtFWhSKRBD66bdNbEnPi19/7uEzVfMa1a9p2g8oVlRoVoqfMqKy4sV/hg+L4qiWpTG0bpBq4XlzTDgM+3WUImqtrhzHnBO9YLK85ObkkBIVWmW55XLpjUiJTIMfAph9obANkFiJyOgTmfaSfl1JspSW7zYxmmbCVZOMGUhL8/ocfQhL44BBCkQPUdUXwhYbhQsnVGlWQT/v7Ozx5/gIvUnmZyExIkqHv8Nvse2UUO/v7XF5d4WNA+q6ssKf7peCHYKoM9++/yvlmxYuzU0xlCCEQUaBqOh8Y2gVKZNLWLKl1VUzDo4r1xiNDwpqMwwEJkwTa1sxGluuN4+jwFZJa8+TRYzKapBMugt6KMiKC2aim7zqsMAghmE01k7FmtWppV3N0JYhZUkmNYyCmTG0sjkQWqmxwYkYCKQQw5aWSgOzKQ/DG7hHGjji9ekqIERc8Ccvxi1OUTrz2ymusViuulhdkyoPfB4EymqjK1EqIiNACKSwiCaLrUbJsJUbTMT54hsHhSaTskWnEZtniQijc4BwxSdCHIm8SOSBiYjaa4EkoqTm7WLFsB9bOs1ptONg9JMs1vu9RaSgadiPoXUQSuZpfI3NFUgItIm23LgruegS5Zxgce/u79F1bCr05lAOlUrQ+0PsVStnitciBIZULnHN9wQ0agbAV0Q/EFNFaY5sdlJC0myUqAwJaF9BaUE8m7OzNePjpp0hRc/Pmq5xftnz+xee0vQcVeX41R0qB0jXdEDiXK1Jl+Y9+4wMeX7Q4IcihHIBVVURAWhhS9mUIIChF8bFifzLlT71zh9m05td//yFZCFarjnFzgxdnL2njinbw4CVTNaXWC24e3OLNV+7yw48+YL68xq0dlTE8OCwehmdn11wsV5ANF5dXvPbqV1gsrxjigEZtD1aZLmSaWuNjxfy6pdIGnQ2D0GiZiaHYQNerdbnsKFkukVKipeD8coFuZlipuL7esFxsSFkScsF0ZplRgA8JISU6KURISBTjquZPvP1VfvT4KdfXiyIikqU7U0u2ed6tDyBGBhcAEFrQD4FKakLMBQur7Xb63aGjYNX1jKzCdoGVdzQGUhZUdcP88ozd2QEbv8GFgGPDqKlRzhJ7z+XFJbIZIQXUTaGRVM0O7WaFVRVGjvjaOz/N+ocXXFw+I6SBylYFL5pakpRU2uC9KxemxpJF4vPzU9ZdB0RGVYNLHoXCuQGTy2FJWIXvNvR9R44BIRSffvGQ2uoiaMyyFNVjwR1rF6gaQx4i/dASkidlia4lKXi6JdjdGiXbbb+oQqZc0MU5I4Shdy0peEb1iKwU7WZB4Cf2YApOM4Iks9zMiSEzrhvGoz1cvwEkKW2J0yT60Bf0ZvlxFReDLpQhrcD5Yq7t20viAG/evMFnz16SU0arMqip64pEsSunEOn6NV0ohs6rrqWupkxHY3wOuFiimEXvoUnBc3Z2vB0ElvfsbLrH/Zv3ePjsEV3XkrJjvvCE6FHCUo9mhNhTjWasl1d8/tmnIIoIU0nNqBL0baYN8/KciTCdjHBh4PU37nJ8esnlvKULjvV1T6UsNmnWqw1CSepqTO8KRCDmLR3KeYQS+AhGK+gTCk3VNMSk+eT0moTAdx6lFNeLBd/6ve/wBz96n259RT8MKFGRxEBKcOvOA9b9nMX8JUrKskHRmuOzS56fXLDpe3Iuk38hCzc95ch3v/+PSkTUaLrkwShqpUkpUVuDkpbOO4QvtLqq0qggiNGhdDlklw+A4PT0FITi1v5dpjs7fNZ/gHcJG8v3XyVomoq0O6PdDJyclQN8pmyRE5EcIvVswrDKPHjwJR4+/DGm1iAsQkmGoeXJ48f85//Ff8SQHE8fPWJ9fUEXItIYnpxe8Td/9be5OFvhh8jeaFagAsBq1eFziUXtz26yWV2TGfApkGPm7u3Xefj4OVI7rJRobahkRU6G1+6/w4dfvM8/qzyNyDn/kX6l6XhSVrg+oI3F+YgyGpGLQKWq6mKqywKEomoEq8UahcSIRL/F6lhTlUyRkNv1u2Zmx2ShMGPLZrXEuR5tRgihmDYj3jy6i5aOfjPng+MThmywowbvBgQJnYvG3XWOEAemVcU6ZmKMWKWJ2RNT5tbt1zi/PCW4FmPKIclHQAREymhMKQk1E7KL9GHNyGoEcHNP8x/821/j7/3GE/7h907og6bRFePJlEot+bf/tbc5udjwN3/1OfNlt438BESIGJnxFMtkSokUMpU15YMWM9KWCYUUltqO0EqwXC7JOdJoU2yUogippnXNctkxhFAQW6LQe5LKZBcQEoJMW36/QEpLJTWvP/gKmcjjhx/i00BMEmskf+0vfJ24Sfx/fud9ehe598odGHrWfcLlyO7kkL39W2jKyjvHwNC2vPnOuzx+ecJ8dcHm8px2GBhNpkgUm/UVKgbq8YivvfsNnjw7YaxbfvHBLj99c5/n644fX1zz8OWc4+tCRDm5XiGNZjo7YLlaIPxQ0FmulKXjthVuZWRc75RDl+tRMhdpTXDsjqccHUx58vKq5N2jIyEZ1zWRWFZ/KpVycJYYWyNIWDlhXGe++uqrfPD8GSeXV0AuWnohiTGUi5aQNNrgRC6bgcGhlClxAAG1kUybMa5bM4RASHB7b8qNyYiPTucIUZFix9D3gCj9iqoIj7qusPH3J/uQoRvWDDEiSNzZn5KFYL5q8T7hnGc6qtFG47rAz7z+Lp+ePOb5/LzkwquaGCGQIGeETDRC8c27t1hGeOunf5Hf+/3f4/TquExbhw1WCuq6JqREZWti8vjs8X1ASLkls8CkOqTdLFAqIrRCmpo7h/ucnR/Ttp6ccxGMpEQmI3WFj566MVg1ZrWaF0qLFIScafQMU0naoZTypKDIflVmYho2MeG9p64npAzR9YhKEYYWMtgsiVYRXGBn5wYuR/p2hYyOnEtESmqLlKVw50NkPBrjybTdCiUkRmlSLp6B0gmUJa4jM0qJcvCQtvB4U0BkgSPR1AoXSkZzNqqpbMNV1+JWbRHj6KrYjkOHlRX3XnkThOPl82dsuoGqmhCGOT5DZWtQonCIK1Uu5FLS+0Dyidl4SkgRcBztjDmb9wzb7dNsvM/IBN55ZZ9/41/+Ou88uMd/+Wu/z2/9/mOevriij5m231DXDYJIbRvCkOliy16zy+7ODi8vTkkykFLgS/eP+Ou/9CXcEPnPfutjvji9RkhwMXLz1gPmF6eEoUfJRDaanArKFwyNsdyYVNy4cYdPnj5j2c1LrEuWYjG5lCsjaUtMCoy0ZUiBJBSNrJAmE2Mp78529hkGx+CLTVkKUNufh6d83hSZup4w0mMW7TVDCIxHE2we+HM/92X+0Y8/5eX5Gi0Fja5pnUcqUYZJRmGqmpBcodjkEmXRShG9o5LwF792F6s0f+dHL2ljwqry3Scm6qrBJYepitBqtDsiu8h6tSgEj223ZTqrmV+tt3bx0m+p7JjDgyOGYeBqcYwwCu9cIY0gqLRB1pr1ckNdNdy+eYfT0+es+xIFrdCMRjU+hUL7aYciLFSRGDxSG6SykD3Zl01KbSLLzrFYrJBGYlTBCQZKT2A828cPG4IP5OyIOXGwv09OEilqpk3F5fKyFIaFZ/CJPvZlAxUKaUcKQWOrgpBVNUJmXN9BLtsOTL2VDwq860lolJGMJiPC4BicQ1KK7VLJgh6M5R2olOXB7ddwseNqOQdpCe0GYxWz2ZTjs9Py3tcVLjsaO6brV+SYCiBbUf48ksAoQ84CQSJLQ9XUdO0KQSQJhZEKH4cycMxgVc27X/kGX3n76/z27/4mZxcvEAmGJFAiEXPg6PB1tEpcnD+HLEGUc1LsPUiY1GP6LOi6FYpIzpmd/Ru4TcuX37rL+fWckxdXBfSARqpUir5SsjPdx8dMv77efq4kKRVXj9QaNxQBl5CSphkxxMzN/UP69QKXDc6tMFrhttjmUVXRDz3KSGIW5EIEQBvL7v4NLk9f4kJAVbl83lRDiplhaIuwKmS0hpQzVhoGHwrcYctXzzGToy/PwqRIIhWPiksYozBWIQNoo2mHhA89lZRYO8b5jixAbf0J5Wwfy7BTFToW0RGjL12dLSBEKF2kgjnhB7BKsLO7x8p5YvTsTvboQk8MHfQJO55AykShGYYFUkSUrGjGM4Y+EfprQnZEBIe7e6xWKwISfIAcEKpiNjvg+uoSW0WSlhAyWmoikp3pLteLM2ptSeU6y8HkiNPLJ7RdW8R3/wN//VGO53/0YqsSJA+gyFmgrcEaBTERhUCqXHjWZoxSmvXqujwkpSKQEbGsJ02OWC0ZEghZBEBfe+tdnpy/5MVZsakqqbdcb8HVsuMPunkpkg0ZJyA6R9gEkJLdnTEKw2LVITUoMWZInhCLNfVLD97g+ckpbWgJrkfmhFEaETOeQAwFryc1KF8uGqvVFXujEV+9s8esapB0/E//0gP+1q895nd+eIbMhZQQc6S97ogx83/5f77H//Hf+Sl+5p0x/+gHHgCDpJodkIInd0tShJSKjVapXCZRSqFFyS+HMDCkzCYOWDvGkHDekWQumc4cmC9XCFVWoFJB9AFHJA8RLXURb9kSdRqPJuSQ8AQ+fvheaZBHh1KZYhKV/J1fe4/GKkJIKCU5P73AZFkkLklyNVyw6Ttq1VDVltcevMPp8TO++4Pvl9ydD/gckbrG930pAEaHz6pMXyS03QqXer770PPFszmXzjFPntAL+ijxQ18upSGxM9lh07c416JcRglJFKFwz23NyDTEJJDCoWRZM8fk0EqxMx3xjVffYb35gPP5FaKyDN7Tdj1SG8ix8GCFIeVE1y7JQnBw6yZdv+K33//gDy9aJUdYEGJVMyX4UAqiCKRtUAKyL9iqRghC9miZWWxaZMrUdc3VfMXJVcvZ1YosYIgDo6qhrmrilnM9md3B98U6O0TPYj1nWjcQSkbTu8TVtWRvd4obShRLK+hzYCob3n39Hl8cP6XNhR6QIsRcnAhRbiczQvLKrOHf/zNf4e999pj/7tu/TVhvCH1P0hqpZZn0aUmlLVpNCe0KlTza1rjg0aZCG8nQrrEKqvGIzeCoEqhUUIWbNqDrUuhOuK0BNqMFaFlh6wlis0ZLgFwKQHQsFn3BtVUaP7giC8Iga8iuxJz6ocQyRk2NTxmjFVppHBEVJXvTGSkWCYlMDiEEMQtSdqQQuLl3yOsPHvCd935YEGZCYKUuBzZbEULADQV/iTagI5UB1zvMFnGWtEDViuw9KkGIGZEyITq6QXG0ewvvMn7iWftSOAu+xwrNaNJwdnpCZRQ5JqbjhrqZsEqFJpFSJHqxLeJmBMWWCiCNZNWtEEJSq8S9/R0WqyJrC2S69pIhWx6ba3779x9ydtkypIBREllbUrsu5StdE3zHuusLFWpkud6syWpMrSqCKIjgzcZxfNVzuDvl9sEOy85x7+49Pjl+ydXlKaPpiC4Eet8hBWhdpEE5DtA0LELi+PEn9ENCCoPUASFyMQP78r9KQqa4R9oQEBnA0SaHwlLUuxrXerzrt/QWhUwJL2DH1NTNlMXlJVmBDy2X6zVKF970rf1DunbOwV7FW3dvcXb6BUlQinRSElPCVA3BeXb29smhZRFX5X0mCxFHGMXBjuGX3rxDFwO/8uELRFL0YUBpQciKIXikADd4vB9wfUtd14UWJWxxZsTMxdWSSpriJvGQSCW+ZKFfL/AhsDNpiuCvDegKXpmNOV+vcUbTbVY8fPQZQhZuvNr2PfoQSHEow5p6lxBaSLIMF1SF1qbgUJNnNq2oK8PF9TOM0dvhkCZJAcKjtcW5VeFlb5//CoUSI9Z+w9HemMODO5wur0i5RyqJDz31yKCkph8cOcDB3i7vvPYK73/6ORFJShktiqTRSE3IGZli8XsIioU1ls1ddC0plh6LMgqhBEpKvA/F/h16rq6vWLslQsLIGNauA1UzhIAxskx2TcXNwzcY2jUuOlLyRIosUQoNQpXBWAktIWWxwAbvkUpiTHkmxlQ25CFmBtfzwY+/zyefflDe6SmSAogUyFviysnxZ2iruH//Phcnl6zbHhUiRm0jgAgqDZ0CIco2adUuSSnxBx8+RORETgKyxFpVLr6NJvYOv2kJItEYTVKZ6CRNPaMfrhG5RHusrUpkkkQlNG6zJOREdEMp8qLw0SGVYIgZFzOVzjjv2btxyCv33uDi+ITNuiUKCoVmCFS2Kbwe70jBg7HlGeszWQJSMZlUhOBorCQFhUeQpMbqBklm7VZICpYyx0zfR6a7MzbLTdks2uLqqZoRPvalPFsq0qVDGWWJKipJDAXzWJMZYqY2hluHO5wulwy+RJGtEdRmRL9ckQnU9YT18hIXBqS25fcdWgwCW02Iqaapd+g3l3TrBUPfM9uZsdp4rBJsNmt2Z1OQgfmVQypJ73qG7gqhE30K2Ki38d+ICwOXlwMhDqQIRgIqczF/SWUtm74rQqV/yr/+yJP4r7zzLp8/eghJI1VBM2klUULT9UPJ6GpJCLkIPrZ4MJUlShaCi1Gao0rxzVdu82ufPmaQCREVjR0jBHSuKwzfFImpzMSUkhglipI7JUIOqK08SlqFIiGyJGRFSD0ilaxlDgljKu7decDV4orFco5WRTBEFuQUqHSF8x4pJfWoBiWJ3YCUifv7I/79P/02Ukg+XJ7x4N1d/g//8ed4FLWUrEOLVxG3KQfISkjefW3M/+Ivvs7/7v/6PQSaGztH/OVf/ht86zu/wxcf/ZBNtyZL8YcvNJky1bQh9uUAkaRAaYnWgn4o+SoJVFLgKWxvKUJZjQkKclEbgh+ojWXwhVMvZJGqgELL0uR2fV+mskKhNYTogfLfCy5g6zEQ8CFA0iB12XIIQUwOKcc0tWQ2vYkwhuvVJTF2uK7HWk3OGT94rLElblAbSBEbIy5KtCy5Q6TAGEuSZQqnTVVu7NmzXnVU1rAZPMoU0ZeVhrz9uWkl2JvuM78+RWnY9J4YI1JolJBMZw0xBUIfme7MuLm3y8cPHxeiBqVMlShTAiXB+2JfkxQ3gAvl740pamujS7kzZzjcO2S9aWldh1aGwfWYapsbTwCB5DwhSVIINE3N4Es0IcSIEJkcAod7R9iq4nJ1WdrquiqlKyRtv0YJePPBGzx++pQ2lGmyEhkpMqiK0A8oBVlLbD3mRj3m5dUpOaeCHJS6dEHwICtkCsQUGdc1bx1MOF62XOdIjho/9NhqXNbvInN0uM9sNuXJ8zNev73PunNczq8JWaA0OOcKUUlYdmY7zOeXKKW5dfMeV4tLhmEbU5KWN+8dcX41Z7HpcbHDVhZJkQglkxipMRDxuaPrHUZaYgpkIQshhcQQItYqmmaPzWZZSCWTBpMr2s2cpq4wdcXqesO9G/fphafrW4SsaPsVRmzRb2TujMcMWM6uLxCUl2NMgZGdIISgHdZIkclSlyxu6MvkJFMmokDrB5RVSFHQjP3Gc/fWXV6ePsXKin/hT/8SMW743fd+yLrt0UYRfGJsd9jdbXB41qs1wcUtMaMmx76U10MkRImtJT4UP0IlBRvvkFJglCVti9cVGVtNysEi9eSYqauKSdVwY6/hxv6YLgsuzha8vLwkxUQ7OOrxjNh2TI2lspald8zGN/j6W3+a9z7+h/iwJkfJemiZNZa92YzlconSislsj9PLK5Ztj22aLUN+IA2ZyhhcdozNiJ/+8jd5fvacJ2dPUUkQtnZIHxzGWrQ0CIpUqtYVK9ehtN12hBK4iKrGSOFK9DAltK3KBSB4RqZiGBzaVEwnu6QcuJ6fgc4IpRibGj8EQvZkAePGYqRm3g5FUOYoArTtc98KW5CQqlAstKnRzYjl4gIlNbNJxS+8/SaPX57ycHGN9NAOqRz6vENpjUgStibiFML2uaHZ37+BtjXPTp6UWJco2W5k6RjEmGhGDcH3RbolJVJL2pXDzqa8NjGse8/xpid5V2ILlAOQlGlrx5Xonzg49m7x4vmnjKsxm77nzt2v8trdV5iJBb/74x8xuHXBVWpRfA5ZkGNCpkCImb3DI2bTQ148fYwPG4RUaFtxsH+XdbfgaHeH5SC5nr9Ay8zOdIf5fE5MPSkXq7vWFZXUqOxYdx0+SsajKc63uOgQSTKuivDPJU/r2z+MUCQh0Wwnrzlwc+8m6/WG1nelpBgcypRnrlKaWpdB1ny+QlAmwiW1GtGqYu/gNjcObvL4+WfEdoM0uhCTth4ZLfM2AqzogygoagriskjJLN4P3Ng9oh88y9U1SRRGOiRGWuJ8RitNlyJClHhXGYioUmJUdiu+tMTYIVQZ/vgEVhZL+0hb/JYUNbI1g0hE53n11TfIzvPy4iU5RyKyXH5jJm9jnVKAloYUM71vMbZgDjNgIoiU6EVmpA2V3aELHUO/wihFzobZdMrXv/oVvvcHP+TW/bf4a3/1r/Pf/Df/KZ9/8l4hQmlLHNotqrOQsrbhTIQx6AiiBpUNMgWaLPjy7Sk7zQFf9IoXJ8/YuA1CSvZ3D1isLoi+dNtizsymU4bO431PXVlWfY/YonwrbaibneJCyR7nAmJ7Ob1z+zU27SWLi3MCEaszh7Mpy36gd2WoWSlBQKCNQGrDq3ff4PnpM/p2gd9elCZjy1tvvolLis++eMjB3h2url9ye2cXXcN8uWa+WpRtYozUpsJ7T0qRxlpykoSf4MW1AOfRtWWzaYu4zRp877DVCJ88lbF0XU9VV6zWq2Ln/h/4649yPP8jG1ulyGhttgcOgUqJYfD4kNHWInIihlCy3iKhclnNpFweVCDofeDFuuW3P33E4Iq8aFqPUSLh/YDWuqCXEEzqitpKlEq44Ak5Yq1h1MzYHR+VaU4G5yLWWA52RpC3B/gYSTkzbnZ4efaY2miUZIuDtChjqJu6aL/tCAkMQ8+m7fC5yArateMffvCMzy82/OxXb/IHX8wxFrL2xVarNNlJlK2KgEPAZ88WzCaSg50GsmTVLvne9/8xy8VT+rAhioQxlroao2SFUgY3DLgYsJUthj9dykaVtkBkZzLhL/3Cz/MLX/8Ke7dvgbKEBDlkko/0fbdFv0lSTChZtOUiZ2IYGHwPPykdUW7NpQsmGI8boo/ErPC+FIG1+IngAFTKhOTIQhPoabsN52dPODv+grDZgCsiCkLGhZ6UAl3wZcrf9kiXyrpIRJAV7eBovWfVOlLINHqCTCOGYUNWkqzBi0BlIKfyIm59SwyOFAaGYcPF1TEuBro+YIzeUo4SMSeu58ttZk3iu4FXdmbsNmMyEm0sUWYiZd33xp3bjO0YJTUhQzYaYRWBtF3nSho9Qgu7bdpfInPgzWnDg50RRuoixxl8yYSn8gCXImFriQseH0v0JeVcsuvNmOt+xenVOcOQaOoRk6pi6FvaoUcIjQ+RTx4+xuWMwqCCQEYBSRD6oeD55JaBLBTV/gGmiLWpm4oYAiF6Yio68VEzRSpFVIIfHZ9zslySXZkqJQSv3XsdLTXEyOn5BY9evEQqz/3bR9zYGbHuO/ww4PquUHi2fYr16pKjiUWpzMnFS6LvMFqVyVbqGNuK3dkUn1yZfimDrStSKpf86bgBIUnBIHNBgGko3HoFAVWmiKrh1Zv3GVtbipHthq5rt3neEimYzmqenD4ihB7XtyhluX/nPj//za9hlEJEuGoH5otrjNbIbaZSJUVWmqxlKXYmUAJ+6vVX+LNfus/INqWolCKRjBQggiQHyK5QRE7OzxFRUOma24cHvPHglZJjjokEjMeK3l1zcn5KcqJ0cFIkZcWX3vgK43qPACirOdit+MWvv8m4KtjQn2R0jdY456hHI0RlSFJglOLwYEKlNFpItCkiktPFwGdPljw7mXN5vUEEgR8KE94PPT4NJT6oMyE7rjcXfPtHf5/Bd1x3nmvniFJw3Q+8XPas+oFXdyouLi/ok0AajQgOkcAaiTISlwMqQyLyvY9/wNOLZ+XyaStUVVHXllHTMGlGjOsaWzdU9ZRsJNrUGKsQOQIZWWlUJTm68wamUmidUTIgcmA8nlCPbpLINJOKn3r7y7z16mvUoxEIzc6oJgtoo0DZHUS29A4264FxPeP2ziuMbEXcPqOk1CRpyVKxDpHBDUgT+eqX3mFvdxdiJHt4vuw5Xnl+7mvfIGXNeLTLqB4jZESqjK3KRlqqgjIcBg858bN/4k/wy3/lr/CNLz2gtpYsE8pqUg5lOiciQ9fjQyzfiwzrviPpSPItp8sBM9qHlJC68M5H4wqrJE09BTQpJ2KQONdy+vJTlJAcHR5hrOF6/ojjFx8xno149ytfQlcNxmjwivIlK7ZyYyR1pfnS69/gX/zz/yaT6Q71aISuGhKJ+fKUzWbO+eUJ8/lz/NATg+Pi7AxUQ1UfILNGxsTOeMRYWZZdjzClQN91K3rnaKoGKTWd62n9UD7fWSBzRBvNaDYrnhlRuhIXiws2blOm3tGhJUSXivW2bxncQLtp0VagFWWLrzWznSmTZspqccFqcY5WBozk1Qev0jSj0nVKnqpuICfaodiCrRHkFLFGI7eQBD8krDa88sptdqcWqQWmspAyyQiS0ghl0aIw6JMAQUSEYqDN5ILCFIHRdESM4GIZDAmjcdmz8SVjnkSi8wO3b+zzlXe/zOXFNddXy+3nVXBj5wC5vcwKqdFGUle2FDzFgLV225FTKMpzLWmDlZbKjAu335chqDGWkDyRwPPjYzbdipMXD/nP/l//MU8ePSGl8vwpz1NABqw1aKUQUlFVDSIlyJ4YMu0w0A6eAcm1M7x/9pLz61OMnaCFQWXF4AbCUIrlgrIpnc8XbIaWITrWfY82piTFY3FZLBZXxOhxMZRyfA7I3HF28imr6xNyLImNwcGyy+DLloVa02pBnwNDiESfefjsczZdh08SawzWNnSt40cffMLjx5/T9xuOn32OFJlXX3+FL7/5OsJFTNTIBCTJjaM7jHenaKVwvsj/EI69ccPY1ogsGDpf0hKqJqXM4eFtZpMJVvOHJCoX/T+LITzwTxCnseMx9WjE0LaQIlpJQnC44Ip1i4TMAqU0IRckU5KBSLlhGiHREkTdcLEuplQjDb3vyBmy9wRfbpCCjDYNGs1icYrRlmGI3Lj1ClrCGMu8vQRpuLF/m+vFKXW1hzVrYsyYSjN4Rzss6fuewV+QCYhcVM0hDoybAyoDXd/hWkUKoSjgtSRqzQrFbzxbcmeTeP2nRiyW8OrBHT45P+H2nTeY7ezzySd/wHIzJ/hiAnVADIrKlBLTehj48Yc/RMmANRXaJO7fe42+3eBCydpfz1+AiOW/T8C7RKDkJo1UxJipdEUarvCrDSHEQvHQAilgf/+QLEomOEZfcoSimGGjCMgEOmVGzYhl6EgikIUgukDoBipR1nAFkwijZkTnHTEOmKYmOEX2PbWxZCI+lMmZi9vSUcoIZclRIBvLrbHioBnx/strhLZ4v0EApqrQUtIOGzKR1kV8SvjkSDHjwvZzIDUQStZPKETOKN3g+hYpivBEGIn3keTiNvOsqeqmEGNyKi/yfs3jZ8e4kBEqE9xA+RPPeNfT9YGYBb0LaANGZkS25XDjIoTIzaMbnF2cI7LHZ0EMHjuuSCKRVXEmCEExJ1YjXOzIMRLRjEYNshswUiNkog2ebMeEdoESCedKMbILG4bosdYgcmTUjLl/5ybz6xXrdoNXkJEFewZou92ieFhczek37ZbWADYnZGNwCaQ0JY8oPI2xtEMkRYkUanvhECSR+PzxxyAdgYQSCud6fFL85nffgy2ySwhJigNqq6sHxZtHe/zrv/A2f/M3f8ST6w6hC7nCSENtJM8WK7p2Qz2yDH1PGNx2ExKxQrHq5oQAtt5H2h7vVgipaVJGjmu65RKSZjw9Iro1PnmUEWQv8LlEqbKPkCcQM1YblBizM5uw2Fyx2lyyPH9OdIXysfEeIyQEhdWKO0eHPD09Q0lwrqPSimarXn/y8gSpI30cisxFa5DbC7KUJASt78qLMpeez2i2y2/87rdZ+Wsultfl1/WRfh2ojeFgb5dl29Nus/xJRD5/9DF9tySGgSwU450po6YpkSBdGNKNKmt1KyT7jeJyY7j/1lucn13w8uIK15d+0a5RBCJ9P5RBRKvoBk+mDF+Awhs3mlVIzJdLVM4YY+iHDcZqpExbTj9opQlp4NbhPrf3dvnobI1zESXLy72pNDFKUh7KNEoVjFyjZEHu2nIjGitD1/d4HzDSMJ3OOJ+fIpVAKE0KP9n+ybKllBq3jVSFLAlJlJ9hygxhBWNDSoG+3fD06aecdy2Hsz2u1ovy3QsJbSQ5rUhCEUJg3Fh+/p1v8LX7b/Mr3/7veXz1GNB03lM1ElNPYbOhNpa+b/n+977Hm68e8OremNZLXr9/hycvn/OjD38MMrHanBSLdDVm1a0R2TMyDVpXrF1Zs0uteHH8Eud76lyRoiQXansp8yoLGkK/jY9JRRKemBMVhjAMrI0kXp3hw4A2BoEgDENB2olASNtJLxHnQtn85Mzz85fEnFF54NnZI9o8MNYVg/f4fgBhMLZcNI0dl+y6EXz48fs8ffmYfrhmNJ1wPZ9jlCL6lhwSLrlCFkkBKWvQiRxbCILK1iQVuby6YDbaKajMJEAWO+9kVPP2m6/z/Pkx8+s5dV0xbqacnV/gk6KRhuwHhFTUVpN8obkIilcgiVxs61IQo6eyhr4vfHyxpbMoY5BSc7h3k7tH9/n4i/e5vDxmSJGQMy9enrJerstzWwr63m+z4ApyJPiIsiOGrkMrzWx2ACPH2fyMq/UVldUop4pMTRr6NpTYlYwUpUGElHFJYLRClVE4Ukt8GlB9seXWVYNtLEPrMGSGFAgMGKHLpB+BkJKuXyJywAdPLQ2H4xnr9ZxkDWpLrOtTwWEqKSBtDdPb1EJTV4QYabsB36+IKWGzpGrq0mnUlsVqRddvyCSW6zl929FUzdYqW+zDSFHOJKLYnKOPKFGjlCEBIQhy8FRGI1Li86s5USQ0nhRXpOxJCTYrv0V9K3LMzKyhV4osBcor+hiJzoGUuOBojEXm0snyXpKNZuh7dAboEEKRZMbqSPKRoevY391js76mrkzxQwjNvbtv8PTFF4Rc0KA5RUQuJEJjZCHADRqTFaouqM/vv/djjBRs2p4gAiFGtBCcnb7E50hM5cLocsQqQ613eOVoh5PzE16cnaEAbSL7h7cYVyMuzh8VIheFUy+M3g6c/xgP8Z9/8ZgQ+mIVE4K1CxhVIg8ChVAJJTTORxKlCJeJSFlyj6oy+CFuX4oKW00wdYNbr5A5soke01iyL2bEruswld1q1wt67vnJM24e7jFfLSFllKio611uTvY5fvxjtC35/BALeD8Gj1RqG50AITMpeKZVRfKBy+WKpBukGiHCurC7mxFSeLrec2tvD1ON+eDpnIOZ4qwZcff2Pd798jdolyuGoStxE6OYiQqlPFpDOwxkWTKcKQy44MlobGO43qxpF1cgRmilybLYcIXUxCgwplhcM0WM4EXk//udH7Bq10x2dkCCSRpSKNKFti8H+1ykRSlnjLVbyYgiy0yIHb3bEHJEeNDG8Oorb3F6fko3tOWBQyCLxHLTIo0hUQqzo91d2vaKMHhqIfHb7F0KEUXJ+HdxQwasj/StxllbHj4pEULEGkEKBau43QkTvWBsBUeTXS76gU2/KXjEHHEuIfU2dqQU1o6RqiLFDcE5UvQICpdbqcKMFREqZWjbDUJGUop8fH6OVmXdGAkgKRndnGm7Yg7Fd7zx6j3ml0uuVxukgKo2paSpIRpF7iGnjLKGz9eOnfEOUnjQPa51aCV58+0v8+jFM1arBTlnnI9kKQmUtrog07ZLxkqRECgjCFtxmd7+f1CmYRgGdpopIhdUVZifFRRhLkQlrSzBB8gSgceFntrUhBTY9AltahRAVEhjuG4XNKqisRWv3Dni+cUpm2GDRGKQDM6BKEhVcioHXa1KcUoKohNkEjkpskhIpckOXl4t+P995xHG7iJFOYgJUchPvYN2fl7MkplCIvEKq0Yc3Tnk5tEtPvn8e8TkaegheXabXUI1xQ9XgGU0mhK6AVLg0cmL8p1KEmMEWgmMLKvu+WZRkJo546PnxsGMdlViP+edQ8hcOjxCMW4mpfCbWzIeWxleu3fIwcEe73/wKV958y2evHzOsxcnRCXQSlLbmtb1iCzIAayVZfPWdlhd8+W3/zQPn/yI6+Ul577H6IQ1BiMatLGs5QKpNCvXQQaZNVkIpuN95tfHCKnYmdwka7hcLvnVf/wDuhQYjXeoUKw3c1qvqESibTfEAa5OLlksryBtCVdacLm4xtiCzJzsHJFcZMgOkQ05ObquMMeRFiUFMgZSlqy9L5vIboORslxYRLGFehd4eXHFydWaLCDFHp01xhj2dneYL1doCrPf50gSkiFFUg5oLUvBWSlCiCQirWuJy5KLzjnhh4jMFOFdFkiRkalsOY9ffEEzmdFMDpnPjxniUDCmZBpjeffmDX7utX3+3gdrJjsTHJGYoB2uSMGhjSjbAKkYfOCjJ5/hh8Ri6NgMiZERVMoShp4YDTElNn1HBpJf8OI0czCbohjxyviIkap5fn1erL1CEn2kMhYlTaFkhECI5bsilaKe7PDRJx/y/Q+6Ut7TNQKJcJEsPD4MWCrEtjjt0oAxFkV5vwqhycGzigNZC7LaonHdUIYcIm47O4oUMp5IYxpijhhbBhGbwSEVnJ6+JMW0xUoajm7cxtYNPkW0j1xevCQODlFfcHl6gVEN7WJFDj1JFpqZ3P53NJrKgBSawIBKgTYm9nf36DYdPvRcrxeUg4FlOp3SDWs61/HpZ5+hUYzNhBRhvW5JIhY8te8xGLQs2OkhtmihER4O9va4uj7HhUKjSTmyGYqcSypLHFwR+6QAMfLixVNOXpzRhxUoTUgBqQx9v6Ic9/WWqd6VsmsuSNjkEzm7beS0YjqaMHRLegnrrgze+n5AYrDGElIuUV8EWupyUFclHYRQ1HZSUMkpYmTZsiJEeX6TmU732WxaZF6XOJBMiCR5eXzO6ekF08mIkWk4Pj9mcB2fPntMVp4QoKomqJgQStDmXFj22pJCKU8qrQhuoOs8Oit29kfk2rK+uGZndkS7XrNolyAUw+CpUAw50sceYwR/8me+xiePnnN+doYURTSW0rZ/tx2U2aYCrwowINuC3SSihQVpGPoWRcZWmr4PkBO60uW7LKut78MzMjWLISCVQCmFDwElDGlLoooxUZmaqCzTnSlh6BiGjun+HkPbMWrGbNIKH3sulpcEHwpxTSiqUYNWgaODWzx+8QStoLaWelLjh5acNLY2ZGFIQ08xyGhc39OlxNffeoeN8zw9fY7rO4ZhoJrUxJyKHK1ucEPk5PqEeXvBeFSjhEapjBWRn3vL8As/c8jYTtHasGgd739yybc/WvHhev3PxNn6Rz7Ee1fW6XYr9cmprAMVgqquSBhCcKQcCw99+6IdfCSIUtAcjXfovCPjqZShW10zxAEJ6MpstcMFKeaTA8824wbSWnzs2KwEtw52aIOn7xc8e7lhvDNBmrwlzQhqbWjDgBeRShqkECSjmU6n9C6Ukpxw1KPxdkISyaaICMZGlRhKzCwXS2ajET/4ZMH/7M/f52//gw/xSdCuPRfLS7quUCiqyvLu7UMe3I0MEbosODi4y43Duzz84j1izCA8dw9fYdRM+PT8mMxANgaNIalUojZKIbYXoxwcHoem5tUHb/Hy5XN6V3K7kUylt5zY0JNiJPqCYky5IANLNloRskNTZC1IjUwCtMJIwf29MUFqHp+sEDmVFWHO5GEosZ6qLqtMXxrmUzNmyBmhDSr9BOkIpJJj1Fky7wJX3TWZjJEaacuas9mdsVku0LJiNp5xeXXBwnWY8YSgIpkS1QhElDEYK4mhbAd8KpEOrVOxGIYSB/0JgzY4hw8tRmlGo33aboFQpfzI9ssmtUYqgTU1y9WS0+sztNEYpXn04hxipB16KmOIQyH/hH7Nu2/f4/EXL1mve1LyuABdGEqp1qXSbbBw/OIpou8Zj6rtC77CDR0ZQe/KZSflgVjb0q43EHzC2goVA332dK2HHPnw4Us6tyQJwbiyxKioVdm8DGEo5AcV6ZNEpIzKCVEZRK7p+m6bm0yMq12+/ot/lvfee4+u37C/u8fTyzNSSKVzkBNGF1JPlhqpyr+3M5nih4HVpkXaEZJEyh1JFqRWDJ6Nb/jwbE5TVYhtZIUc0LYw5XPO9N02l681diRxqWOxPGO1vqbtAjkmnOkxIvNL7x7w7c9OmK83JK5RSZW86+KYGD1ClhVoxuGGiB0bkJkQS+lZVzXrfk54ueS1vds8ujzGyQxCA4mQAiE6+mHAaM2js3Mmkx2++dWfYtTMeP+Th7z1xh6r1ZwXKiONBGeIOiFNVS7GbUeKgdhHRmpMiB0//uTbpNSjhSCFgKJBKsPRjfvsTI74/Nnv41OgbdeILEk5l4x9XmGUYNMPrOWmdAEEGGmL76Ht6IRkPD5ksTonacVincgIlqsNAFJWhXyVAikndse7XF5d062WDN4xpIBkYDyZIHxCS4WVEh8cOauC+M2u+AlyGXKYWuOHQvJQVkHsIXj+R2/c5v1n56x9oYacz5fFZisCPnq0LGXVlCMhRioMOfW0QymqCVcuVG3boqVCiAopLcqWCxem0GIqZXCuZzyeERM4P6BrS1aQXGJqJmRbipofvpjTbXpezD9BCoVV9daEDFUz5cuv3uf0YsGLkyc8m7/geH6OJ6CFxKeew/195gtPDMWvkMjM6orZ4S4nl3MWreNwkvjWjz5m40OxyUaPThlRSTZujcFy7+gB56uXtG1LZSzBezbLZSlw5vJZCr6nspZoJSmqshWxE0K/QYvS+WlGBSGJz6RY/AVCSbTVSCULitmU4UoGnIoESuwAIRBmRGXhz//UPRbzFX//+w+ptCYrw6Zdlhw0mevrE6pqRqVqpK4YTcaE7EhhW5oPHcbo0nWi5MNNzmgqOgKJQIoSQihQCym5vDojx4QQccvpNiht6AbPMPhCevHQ+QGtikE3p1A2rbLYyWOCIUbyUFwCRklkhuvLK7L6CW+t7DOMUChlMLbC5VyKjrnIj1492GO5Gni5LIQxEuXXN4osVYn6khFSQQKtDS65kk8etuSx5LieH7NpBxKlgBzINKpCKsUQBuJ2OAOUyKrSpOBIMdHMDtnb2ePF6XO0zqRhoG7GWC1xLmGEZjk/KQCbJLZ/ZuWgL1RxfTy49XV+6u2v8qvf+hX66Ll5NOOzz1+irGBwHSn6MmBBoI3h5s07vHxxjDFlYp6SIcvApB7z6uEbfH76KVUtubWzx9Hde3z3sw+5Wq4wTUW37kCWz+rezpix0egYmU0mtJuWvlsXQzYJlTXedYzqPf7yL/0i3/rRe3xxfobURdY2uAFTlQi1lhI3BBKFNBSTpGoq9vbucnH+AqU0XeeK70SVWCKhI4qMkQKfNd53SJkY2hWj8az0hbRFJ4Fqdum6lhgyO7s3sSZzdnZKlgk3BNYCHj97zr0799EKUgCvMju1IYuKrnVILEcHR5yJQBwcMZXPjESxO9vl5MlDZHQkmZAiI1xmd7zPqp2XwrVI5FyAGIvLjkjk1Ztj/r1/4x0Gn/j13/mcxy9aWu/Y27F88+1D/rd/7cv8n/8fHV88v/7jO8THkNBSMgw9ilwmKFKXw5EQZBx5azKDhEgCpAaRtwcuQde2JKkQsiZjaZoRbuOphcLniJBFVpFCoaeEUBjvwTtiKGWOLBI3dqZcrQYWq44h9ATfkZImJUeSZQIljUJmWVaVWmEC9Is5QwalNN5Fot+Qc0Ipg5alPLvcrEjBYWi43mxYPnuBlYF/ZXOLX/7zr/Jf/8Mz1u0V/WaO1pqd3V3WmwWVDvyNv/QO/6f/8scMfWJw16w3a0IONOMRvh84PX1Z2OKibC+6rscaS2VqhEll3el9oedIQ5KGnGE6qrn34D7XF8dcXPT0wuFSWWuVKrREyFAmuzljbVXkR0pwe/ewmFtdZDI65MG9+3z+8GMeH79grATSFEpIyJQPr4jUdoYQsLg+J4WIpFxwVlmW6Q0Vk3pCcKst9i5jrGH/4DUu5i/IMpPCUF4suZSW1osFg+8xuuJyfkGMAWUk66Eje1dwhFKVqbCS5aGWE9lLUm4RJFIEgWY8m5KSoN0s8SFRGbvdXpR/T8oiDOk6hxQJqStiLsKZ9WJOVVUF9mQ1I21QwtK3a+qq5sZsl8XimltHN/jpr79LG3rcTcej/pgbuzc4XZyzaecoUWOUpkKSYqRzG7TUNLZh8C2HteRFvy3d5lQkU9aSKQ+XLEQRp0VBEKpE1IwpZV5b0brEvbuvcH15gtEGEYuSPcaBbmvTs9R4PJvkaeQIlUPJ3cVSejo9uyLKL3DO0Q0t3/3kB0gUdWUYhmG7ilQQMzl4chZUdrxdhSu0qTg4ekAMHddXL0jeEfBoC3WVCEFwtWixVjOuxgyxI4YIMqOFQFQaP0Rev7nPwf6UH3z8lI3vIQ2F6pEFrg88uHef/emISSMRc4FMEIJHlmX61r5IyR8mQa1kEW6lTAoli9zYkvnUWuNtJkSP3H5ehSoF7kTCk0qfJHg2i2t+9Td/i/GoWJJfXqxxKaNsTc6JW3feoO2WSN1wcfEIMmSRC31oZFgPjpw76sYQXIlYKWvZ33+Vy+UFZ1fPWa2WCFXoFkZDZRu0hmlj6HrN7lgw3SufuRQ9Wk/wClQuKDYfPFIUqkUzrkgxMcRApqBzXSgFdXJmsVjjfETL8u9IIYphdLGmqRty8mgJXmZwxSWQlSAlidKA1uzYCXpW47OibRcIZwi64GattFSNY3CJICIql8++UIrGaMilU5KzLBvZwROFwDaSV+5+mYurUzQZUsG2KpUQeoSSmnW/LNQJUzZkBzcOePz8CeTIwd4Ri9U1yAHbACiONx2fny+K6CwbhBR4P5BIWK1xKXBycc7V1YKfEC58KlGjg/GULjlOL68QSRFS4Y5XVGgMWspiIa8azhZn7O/v0FSWVb8moolaMq1HqHZBHz3tEAo3uu8LkSgkcurBlADfTzbTgwtIGQsdRyfWqwXS6nIRVyVrP3TnhBxAGuy2n+R9X0RSZHrXEwRbq3QoEa+qIidPv1nQLQa+/V6HA7KJ9B50VBDKCj/lRCTTx46dvTv8ws//Mr/3G/8JPswxzZSL+YIsFSGmUqIlYpQhZYlXRaL1zv3b7E+P+M4H7yNVgURoKYi5PO9yElRK0nZtOTxkT5cyphIlwqArQsoE70kkVJZopfG9x44n7O/MuL6a0/UDQlIKuFJg67pEz37ye0sB327t6kpTCyArei+IWlKPxkWWlvN2+FB4+ZEIqbDARSx/HrYa4YaWmASVVNgc2bQDuqqJsWxNhYCkZIkPq1KMj6n4BcqFuEjMRs2E7Huev3jIaDwlRcNGDgQNMhnGtSVlX8rOyhJFJGuNQpJkLFtmIfj0xUMev3zOMLT4GLgSFimLsCxuh6UCCTkhQ2Z9taGyI3q/QMhMcCWi1sWO9x/9GB8DldF8+uQjPlGa2WiHumoJIYAtKAypNfPVkt/9/R/x4NU3meXIp599hLEjZJR0Q4e1Zcs1tBu+9cEHvLi6IPgBEaCpK3rvtvFkiELjoqOuK1zyyCTpN561mBM9CFNRV5bEGmUtu7u3uDh7SYhrpK2IQwRRqGVGl01NwVhKVqtrhEgFmmI16801wnlSEogkMFIicqJ3ax69+IwsixgupsjxyRkayageY5ox+/t3aDcrlt0lseBlONg74LMnX3B2fg5pAAQyF6xnP6zQxhB8idbklBEqkYTg9ZsN/8HfeJe/9fcf8q0fXCLRSF0hhaIdMp8+ecmv/u4Lrlf+n/oAD/8EdJraVGhrSEqjZZEXkEoO7WhvB6UFT548Q5uqEFVGNV07YIwmuK7c0lImyUKWOZgcsVqd0yWPTglpSmGi63uMFCipsXaCEpnF6hqrTUEZpsJxjjkhpGLwrqxDfCpGtUrT1DuQM/1qRYix3KRVmRwgFcYWyUVdV7TrHkWZpvs0YOppmRB4j60qeuextuFLNzX/+7/xBr/z/orf+zDznQ8/xcXIpK54+96If+dff5ff+tZT/tZvPcPHYrJUGoyp8b0veTeKLrpSNaYyXC/noCQqCabTEb13xFByUiknkhIYAmTD7sFN1u01vmvRVjL4XF4alHa8UKKsvIdyCPS5xxjDL737dR6+eM5l1yGM5UsP3uTs+BlPLs4RKRKip7Y10jTcvPkax8ePCL5FIuiGAbk14ApgiIGUYGQL51fSE6TFRYdVNT/90/8KH3/0HdCB+fU5pnzCqKTCNDU+RDZtyXALCiNdC0lyHrTADwFjzZYgHfFuwOpSADamJoUe5wdG0xHteiB4R1aqMGqjQxoDsZjktNBEEo02JXvvHUJJhNRb9neRVbyyf8hmGOhiAC2YVA3X8wsO93fY3Zlwdr0kOYcQFW+8+oCr9RVXF3P6vryAKmPY299js1yWS1iCxsJf+vIdvvXZBY8XKxKSlDxV0+C6YXvpkpAyzWhC7wa6oRAWJrXBe1HY6S5jRSYmQRCJUdWQvMdH8KnHSLPFpAGUFzohkIQma1H+XEuGA6ICEpW1ZCEZugGhNbU2pNjjYkYquHFwkz/7C7/Iar3mt3/vW7gkWK/WGOHRUuNyRhvB1E7QVWa9cYybinbTMwSH0JrKVphqxPXVFVlm3ry1x4NXb/Lt9z5j6BMHhzdYXC8Y/ECVBVKW3sKwLYKlJKCcY0p5ta7wXVsaDYLC4E0UAVCMGGPpYyrEFwRGl40SSQKSuNXXa1FMtyIrZC3oFj3C2MJWFnDz4IimqXn24phEYHfnPq5v6Yc1w7ApxUVRLhbGKpwvbOi6sjjvyapk9rVQSDLKauJQJuIKzd2jKdPRjKvVkp959YiPnp3SRUHUNfOrOTE7dAYha4awKfZgUfKxOccSsUiZ6XSHpt7j4uI54HHOUSmF0ppu8FSySMY8gtT3SFkKtTkGtDL4BFAOJdY2DLEU2aeN5d/95f8xHz8947/71qfcv3mDTx5/hlQSN5QelBSi8Jq3ZIZaG9p+iYiZpprSup6UE3XTkEMmBI/Rhtl0l3YY6Lo5la4ZjRoWyxVSVcXeS0Alic8eqSX7u/sslmuGoceqEpUwxhRDtyrbIysldS3IxuK6wKSZ4nxxhfR9R21mhBTZ27/LZnVKF1vGpuYXv/ZNvvvBe/RSoo1gs+mQyRUUo1CMm5rVaoNLES0itp4w9AORxNHOHut2TZClV6Sk2lJqFCSBkpkhRAwZTPl5kcp3KyZRMtIJopQYKRhNRygk18sWY2pyckjK4VDrmsEXyc9sVLof667dHhogytJdENvYphSCwRUTqzJFAiSVRStFin05XNc15KKHnx6+Qs6wvHpMrSV9Ltdma0vXx8dI8AGRRJFlAVIIjvZ36VvPvCvkojj4coDVhvFoxsX8tGxbpMVHT2XKEyoKUFFwY/cWf/Ln/wU++ugHPH72Cb4fEEqhqUha0tSSdrMmhEgzrvD91gC1PTirLfpQ6+KrkQi0Lhf99bD9/TajIhgjEn3JZGtVtk9GZLLSRFFEVlorYsgIDdkllAJVSVKEyWjGYrPaxkINMXmkUSQXSFGhdNpGgEFKtqV5WRDCKZKlQkiBliC1oRntUzcjzk+fI3NC5PJ8W68XVLamNhM2fom1mpsHb3J28ZjetUx3drFqTN+ut5zznhgjSpd4qDGWECRZuO2fkUIhivejHpXLoAsIBLNmStsXCt+m32yfm6Zc2WJAa4VQFXv7d1guzvHDhkTclmYzdS2JQyQBja3okkegMVL8YTw4pYyRFUIbfOhL9HYL2cyA+YljSDUIqamtpu9XBBeo65pKK2ZW8+LqCiUabkymrFLEpR7vW0Q2uDAUjvwWOZx8wOUSF9ZS4EMgxcC4rhBS0/kBITKgkcoiggNZ8ef/pb/Izt4e//Af/AoXp6dUtWAY4GC0gycVOg0FW1mGFqXDcmP3JhdXF8RYEMwxDezNDP/hv/sz/N3//iG/+YMzcioxOCu3Eadt/8lnz2a1wcV/ejrNH3kS39gx2EjX9kz2DuiGNcH1aJl5eXpW1phKbQ9Kip29I1Q+pu0cEkUKBQFZmoCS68UxlanZG02IOdB2K/IQkVkglUEBgysvgFdvv875+TO8lEhj6LuOZlviaUYzDNDLFp8Cvg2ETWJUN0hRpALBeybTim4jSh47ZAi5sMcbTY4l/jOpZkQB2o6oJ4q28+xPakTKbFaKz7438C/+zC5/8hvw+bOvsG49t46mkD3/+X/9Ed/9aAXCAJEUQYZECD0+lClwBoRWzPZ2OT07LScSAZPplDffeJPj85ecXV4jciiTWaHJQuOCZ726xA09kUgcBAKJtQ0x+JJVFmXKonSh0giVcTHw7R/9GC/KbREBP3jvB6UgGBNalSln8J5RNUWGhCGQZKYxFSKF7dSvEDq+fv8Nlm3Ls6szamnANlgBuZMgMn/wo99ExoT///P2ZzGbpnd+Hnbd6/M87/attVd1d3Wzm8uQbA7J4Ygzo5HskWRZsmVDdozYiKMsQBDkKEBOchQgBz7xiYEAQSIjcJKJZRuxlUgeSaMRNRqOZrjMcLj3Xl3VtVd967s/y73m4H7JnAkELKhPCRS/qvf9nvt+/v/f77qGDUoEkhDlz5cwCYnrV454/GIA0RBdJLQDgfILmMOOH60lKURSFEhsWU1qy9uf+SIfPviIzcUJedWVeEXVUFWGwScOxjM6t2HPWIxQvGxXiJzJCkSCqjLsTUastw5P3gkq4PnlKdqOGTUV7dYRRMZqzbJznK2eoZRBZIlRkZfn53zqzVfo1x0iJBwBFyEmRZ8L8s0kIFq+//icTglqU5jws+kVLpYXZFFykTF7jLFs+iXBRZQomM7eJSptSKFouL98a8a9k5ZNSsRUuOE5ZbSUSGUIyZW4S8wYo5BKsB08yZWXyBQSmnJgxVSa+mRPNpLa7HG0N+X88iUTo9gGR7fdQk4cX5lgtGYzn6OkKLIlGaHrkNKSIgRfClWrVYdRGmtqjFRYJLraw8oNwghOVy0vfvKA3gUCmfW2LSXCroPKoirDpt0ipS6RrhiodI0XCdNoVLZE4dAWlLK4YSBn0GiwBk8ssSkXEbs+h5AVV4+ucX7xlJwVB4dXWcxPCa7QAcRQMv8iFupMInG5WHFsqx3zPLBeXTKta9qhK4el0hglCTHg/A7RmkTp50hZPkcpyQRilOyPJzQzeD6fM7ETPnVtn/3pHn/07iXf/fgZQldstiv6YUnMgcoavE9UMlLZmsF5tBE7QVwCWS5lx0dHXJwtiuwNi5MBBPjgUTsztveeIDLKKlIORBJaCWQOaCVIykBIu+kpIGC7bfmH//SHLHpPlorldkBphTUVh/tHzJenpOCwukHpinazomlq4tCwjRt0Dlir6F2izoY2rAvRRym2q3O2YcBaQ0ie1pWCcKUFSjTEsEZry53jV1hv54S+bHbFrrCnYnmpq40uEjQhyDkSgiF6R4iBoW+5cf0uT8+eInQGVZTs+4eH9P2S5Et353vvf0iXwFjLaLKHSCs260t6ShzEhRGHowqhBaerDck7tNJolQrIIUec82ihEAlqO8b7oXyvcuFl90PAe48kYypDlrvIRIaQE6RENW6wlEhVRtDUNX1XyFIZiY9ls0QWuN5hRw3a14ShR6gMIZWhR4pEpVBKMpKFuKSVYhMCUkSIoXzAKhP8QE6aphkzrM+wRiBz2WqRila+beMu1ysxQhbLtSzc9JDg7HxR+kVSknwqJLQMKQ4slpcoZVBSUVkFQ7nQZcRO3FPcIWkXlYrJo2RFPZpx6/brTPSYdz78DuzUOM4VbLKVspiic6GrKTIh9cRYipcxCbzLyCwYNQ2D8yViQ4Cs0ErRSE01rlhs1oiQqQz0QuzQzZKRtkz3x7x1c8ob1yqenK344cdzgisgCR8cRmnikMrvjCwpgygVUiaMVAw+QfJkLZGivPQ478i25vrVW9x99XV+8P3vQSoRweAj0im0sWiZ2LRzgkoYb+jWc3IqxLocJMhMyh4jAKFKFNMonOsKxEIXwISQBi01iYhRisPDA168eIYUBWM7hC1ZKvwOM42SWK0IDoQM+BSxNnFx8oicM0kkjJREXch/I23JJtH6gM/FdzDRhj4GcijP6JS6HfwCkOUlpzaW3g2knDm6chOTJJvVlkW/pnPl/BOyxJm0hEltaSpD2/UMqYi5Qi5l4iwTIIhil9pIkazK87iykqF3VKo4EEKMZRoufuYEAGNACkUAHj76BHv6AucT167fZL2cM60tG1ckbkLKn+PItRL4FMkRgigpim3ocX1P3Sh+7YtXOF0OfPe9JciKalTTyIprh2Ok1Pgs6Ps1i/WGVW5/0ev3v/C/X3gSP5vuYYwtdBolCj2BRBhCWXdRMt3SVMSUCMmXy0OOO4EBO2Zq5PNvvYai4v2H95E7tXaIA4MPaFm48ikllLVMp1d59cYd3r/3ffqhQ5oas7OXOu9RQiFEIsRSXBS6gZCoqszQez515xqXqw0bV/jhUhi0LqvFCITYU9sxUmUmdo9m2rBZrahFYaUPZCp6hDDcGhuE9Cxj4njPsDexiPE1fvKTj3j46BQpBVhNGHwphmpF8AOJUhQT0qCMgl1hI+0UvaaqGNWaa1eusll3zNsVQkZGcsKq3dAPPRAASWUbEpBCYG96lYvlGVIVWUrKate+DqDKAyb0qWReZRE2EOJOp11zMGo4uzxBSIVRuxKjLZdEmeUufw/G1gxDy63jGyglWW1WeB8QMvPqzZs8OV9T1Zr50mOSIIcWaQJb32OzIsryAA+pfE+EKEKOkv2HZjSmqSu8D2z7JabS5ZI4OLS2RXJTjTG1Zb1ZkWL5/0ZI9idT1tue/ekBm82C1/Zq9mczvvvJJ+QM0ftS+MmprDlz8RHECPv7Mxh6ltvCsJZSQIxIU95t90aWajrBxQ41JISSZAmbbYfOFp8STVP43dmD1YCs8cmTZEDmTB8CvhuQWeFyROvMrCmkEmNHJNHTbnoO9w9RynM5n5eIUiqfw2evH/ByuaF1EVWPCN7hHWRZeg9KKSql6V2LVLoQRCoNSWBkQVpJKfAxEbMo7FoB2AkHR1eYn79EAKO6IktF3y2ZTPY4Ohrx4tkZQxB4Hzia7lNZyfnqkpQL4cbYmpTDToq0m4gpQCTqeg/vI2NrudjMaYNHG1kK2bk8B1Iq30WjFdpIRqZhsV0hRYn4+OTYOzgqGD7nuPvKTd76zBt853vfp12VQ1DrMsERokhSXBRYa1CUyIPPPet2YDw9om+XOLcpEUDKS8B4NGO5nBNVKWhKXZWJNYnPvfVl/q1Xr/IPvv9t3l2smDaj0nEA3BAg+qKCl4W7HULc/b0yR9Mp//6vfomDvZrf/oPvsxwSI524tr/HK8cFBffuWebo4JgXL5/w8vK8yIxk2UzkDCkWEpC2grCLWQ1dW15cdx4JUb6yxQypwTtHotiAUxJM9w7ohxXBBXKKNLUtGNKUSFmgpQKpGI336Lc9mh6XM0JKjG12ZKmau3d+iXsPvk9GoVKmd1uyhLEa4X3LaGw5OLyKqi2XF5nbr7zKj3/8h+iYOdg/YrFak8XAtmuRWmO0pqmmXDm+yWJ1yWZ7Tm01b3/mLc5frnj84hl9Slg7ouu3WARBRpTWxJzQsUhrtFI0tqYPHQkQekrXrqm1wBpN2/cYbbCmIqSEVYLBR5QUTCaHeDShW9FuV6TSuafRFVNbNo99jAxDQgmJEJmqaWg3G4QxRQwWIntH1+h8R3Ytb925zV/81Tf5r3/v2yyWW7IXxQ6uNFAO8KYe0XqHrSQ2lSpd50tELuVdeTxk5K6jkJXki7ev8+zsktN5R/ADLntG9YhfeuuXePziKeeLi1Lyp0Q6NJqN77HWFiQrCqElWiRCKlK4SsLVK1c5uzxFSF0m725AGkNOgWlzwHTSsN461ptzRnVNFKJwrq0mpYAQJSpWVQbnO1IuuE2lJAd7e2y7DTHEIkNKGUlmMttDZMmmXZJz6e5IYxiNLCo3nJ0/wdMXrKquCTmUM01IlCwdF+8c2hb7qFJl82hShTYj3rx1l8cv7jPfzFEactKMZg3WF5Hkou9IKTEdlU27kArne0gSo+DTtw9465UpbWf44UcvOV1tC0mE8r0JoWzjMg5FyXJnAqQSQzK6xDt876mMok+BFAXj0RSjNCEE2n6gMhrnO6qqwZqKdlvkg/VsQrtdY5BYW9O6EnnRUpXtXMigEtcPryKl4unpC4o8rGx3yiAskTU0tqHrO3wIWKtxfaA2gj5G9vb26Vpf7kBmRBahxCGVQRhB3AwkIuzirRq9iwNnbCPK82LH729UhZaG16/f5MXyksvNHO8GktTFaO6LRden8lk242mRerYDdlqz3SyxQhGSZH9scQh6JxlV4AZIdEhlMVpAKBvR1m3xKcLuXpFzSWloLQhKIVN5jiXnkMIQZSKFzMHVa/TrNYeN5Y0bN/juhx+RZN5BI1zpilU1KcBkPCOQGNkp5/OnO2tsiSlqWSzHWSdykIxqw//xf/Vp/s7vPeSnD9ZU0nKwP+G166/w+itXOG72ebGec+/pM85ezHnw/AkuDP/Ce/e/1Em8zyV7LI3HVpaYI/uVhVqwcD3O9/iYsGRqaxi6iBISpQQVpVAyGo+5deNVcBcMwxyZBdNRw8VqWbB3SqC0KPzaLIjec3n+jNX2jNH4ACUVMUTc4MvAWxQcGkIjtCw2UjJRlBxiXRn+5m99gfc/ecnv/cl9YhpoRhMsibV31AgsChMF+7MpN66/ws0rNzmZ32ckDIQR6xA5227ZrJ/wyXlXDHkp8ehlJrhEVCeMRzVmOiMMAzIJtJX4mBh2Xwgt9U4g4RGx/PxKWozNO+Oh4Iuf+wx//S/+Jg+fPecb3/oO95+doiYV0gYUnuwSKUuQCgjklNkMyzJmTiWaYUzF1at3ePnyMTF1CFWMsDGBSAaZNUmJMgVSFSkYIoXT66JEaEXwGWtKYz+ljJQCFz1KaZ6cvUCrmkrC0d6M5xdnvHv/E5QZMfQQuoHm4BrTZsrL8xcFwZcyIUaC8EihS/zATtFWFIEJlEyhE4W2oQQxQz2eUptI3/X44HF+ifUaRHnBg0Idkl6DFJxfnjCuxty/XGDmG6QXJE35zuRcsH5hoPNDiSxJ2AwO4QZm0xlNXXO2uuTG3iHNXo1zA7eP9rh6teF8viX3iSEEFmtH1I6oLKMYyFrx2o23WC1aNv0pIXomVrPelonvqLYIZehcIAVR6D7KoPMGqQRf+fwX+OFP3mG5mSOiRwjF/nSCD4nkA++/WFCI5GCHXYxNlcMk5URwAVOXv6fWhQ51PD7kcHLAB88/wijJ4CJCAhmu7FWgRwgz441XP8f3Ll4SXMcie0ZmTBKSVbvhfD4nh4AW5c9eDVtsVqSQmE0muBSwxtJ5h5CGg4MJ5IBMAa8guY5xM8Lahrw+p1IaGTLSWmLYPU+0YXADQiSSV4hKUBuNG0rmtGomBN8zmY1JXc16vuUnP3oPAghVcH2+7xEZ6qrerYhLblcgOTg4YNLMWK4f0HcXxFhWwiWslUkyoXx5GRDF54hKgarReBSXF4+417R4Y7h25SoX5+ckIZDCoIQgaYXRFcI7oi8Yu5yhkopucJyvB5yPBO9Z9x25bjiejPibX7zOg4sNj5Zrbly9w7rdMhscbhjQMjOQiDHS1A1d2yNUgyTQtVsqbZmNRlwOAzFFruwfsdpsdhEySUQUizGgtGa9uKRudJHACYsbCllkOhvTb9eEkAq5REqETvi+xNKCHyDB/uwQW4/54MPvgYwcHB4zbFsiAwLwOWO0ZqoVJ6cnXD8+YLvtePRxS4qBPmTOLk5RQtHUNdkKAhGZFUO/ZbteFVJInwhk3n/vY16dGvanY16uNsjQIVIiqd3mJQuEUoyqEdsoUTFxNB5xshzoQiLGBUZLxnYXT4wCK2FwPbZqIBmM8HgVqW1iO1+S/YCWmi60GFuR80AXKroQMKr4FyQZHzq6visvPdWEka1YbJZsVpdIEYki8Wy54E/ef1hMll6QVebo+BYySdbtgsH3uOCxomSvUZrBRYwxRejji0hxSB4fJaZKjOsJF8uBdogYCyEpNAprGz772S8Ss2A5XyIi+BjICLpUrJ2p7VHaMpvs4dxAN2yJwWFEOcNfXJ6hhSZR6E7jpuFo/5jn58/Ybpc0I8vNG3d5+jLRtysSaSfPA6kMINEqleJ+VFS1KQSo4Dm/nCOV3G1NHCEXmkvsWkLOpS8XBcOwwncJ31miLBslnwNyd3bEXVROCIqJXSqEUiAUZlf8VSKVoZl0fPT0PYJ3qKqC5KmtwgjoREC6AWMr0KXsKwRlKxwLiz9Ex0fPF7zz+KIY6ZPY0d4kwXclHmYbiImsFTIp+uiQWZaNuBSEpBjrCUGtGEKRQ0kpWG9XaC2xakJTz9huL0GUz3zbr3G5lCS7TcYlT0qFxAMKGSM+lO/JaDSldS0XiwVF2KjKBjOVIZNQGkTJ6W/blhADSmqSo8Q4RYkWbdeb8lKO5fbttzmbv2CxeEZtBb7vGNUNWWqWmzVKZ0IKaFkhZaRtfRk0kah0gwPGquKta6+yXC049QGZFUJIFIJIKbwbrQgpMvQ9xkiSFrghYHWNDwMxJ9ZRYJLhzpUDbly7zmwy5t6zhzx7/BylGo6uHGA13HtSfl/9EKjrBhFdwUYHh84FtZli2Y5K+bNzMNNvl4To2bjI04szSB4Eu3x7edlASzSeoz3Ni7MtQy7oy9SHElumoHYDCZsUh3tTahXZG0mePFswNkVAeTid8card/g3fu3LXD++wg/e/Sk+RNbLnix+0dv3v6RL/NFoj96VVUbXbkEJfF2y5a7vQEqUtvgQ0AjefOVNHj1/TOd6RpUhoOjCwNXZhFvX3+If/PN/SgyO02W/A/8X0kkpGQmELA1+KUo+lgAhxdJqHyI6atBF+EIGaRQ5GuLgC47QQ8gD/8Xf/2O0MlRaQTMiy8yrr36B+88f0K4vmU1r9g9uMDGCzx2N2d9XvHn9baqmYtMmzlrPbL7h0fOBk5dnBJVJOeGjIGdw3QbvWnJWIDzJZ5KSVMYAiRhKllQIidKKFD11NUGpxN54TNduyEJSyYqqavjM62/wzv0POZ+v6LbLXZZVkURCCYHrN6DK5DKEgZzKgZ1zJqWO52efkLKnVhYjNL2JGB1JTuB8X6aXBoYdocfoEY0CyExmU84vlqSYSvkqlxcjIQxSKQyaYdgSRYXpKTlApUlhwBvIMrJZneNbXYgDUhNELH2FBFIWC4CtDF3bM/iiLJcplwMoZ2LWSGFo1yu0lGgLvgUhE5lYpjoxo7LCCM1f+Npv8acffJcXL5+xdT2xuLqIUhB8RBtF6f5kmkmD2CT60o8E19MoTVVbrly9ik8dB3t7NFOBQnP1sGZqDfagpu0Ct5sZXYz88X1NECU/aaVmef4UoQS1VSQtqJNHUu+Md4K3br3K+XLD/ReP8a5n266RRhF9zw9//C599DRW024dMXtSqrh25QrzxZJN31EriScRlScricwKSSQMHpRkOzj0jv+ujWbVblGqQQlZpBK7rY9WFV9763Wirfn4ZeLhvXfp2w0lEenpwxxp7E6NXZj9MTnIxbbcdx0SwTB0HB5fYet6DDX7o5r98ZRJnTDecTZE1kmwmbe4vGF//4B2vSmZwckRm9WW6D37032WeckQChEgrFZMxhNevfUqwXsO9qcc7k+YjI+JDJAzUta0/YaL8zNOL884m78kuExM5fmjZcn7eue4uDzB2oZJNaVzm0JfMRXBR2pj8TESY182ApSIQwRSLFbMdVrzO+9vC+pMJ3RT4mvEhBWKLka67RoDpWugNN71CCsIWfDtB8/pXMd2cCgSPpTL+U+fnuNE5vziKY8vz0nOMQw948bSDZFmdkC7XeKCQxqJcz1SJrQWTGcVt69e4cbxIe98/AnzyzP6lHj1+k26ocUPDt0UhnNwjqwVvc8oWTZFwUdcDIg2lyhCLhSgdr1AxIigIvlYtoYC1ttLaDfE5PB9pG8fYawmuYDLvvQEpKC77IlS8PTsgu26o9frHVqyZMKTjlTJYKUuhzURieFyeU4zHTHaPyD0G44byb/7hVf5b3/0lO7gmH57SRoiWVpMApUVMoNtJqwvOkiJ5/MFUZXVuhGKK8dX2cyXJF3W6yElqukEkQWrbgkiY4Xl9OyChCCmgBQaWxUyUIiZmAskoBs6Kl3OFykN5JKj965nHRyjumGxvkAJRcywZc17PhG7vCtiS9bdGlJkcFvYcar7GIhKYGWJEQQZS8RRK7phQCAwOmDllH7j+WSYQ5Q0Y810uk/XR9Zty9/9nb9PSr5gKVORJMUQSLlABWxlUVKCjDsSTI00JUuspCankgEP5CJ9qg1NXXE4OWTTrdlsNyxXPykFcZkIvUdJvSuwm5IfV5KQCsQiDUVQJkUiy905kgIiZYwyWGWJyhCGliRARUjJkYUqA5ZUJEkqlwx5iqBqQ+gHSInRqERlJIZaT6gby2JzgZAKMZuQVit86DEGsjIoOybFyGLZkgBbGcTg2Z/MuNgsaeqG1neQMtE7dFUTYiQngQ8CqQRH16/QbXs2qxLNuXblkH/jxj4Pn53wzRcLmlrhXSZJTfIgVWKzXWGsLiLEXXlWK41KGa0Fv/z2b3L/wQ95/uIBfSgbvdo2pfCaBBMzYrvtgAFjJYGIloaMxNQWKR2uD+XvGYvsUOny+xV3/S8l1W5TasgBgnfYsS1TeyfLNlUV8+p4ts/l/CWoQhczsuaN23d5evKUXhuylNTGMCRPDoWZHkURJx7s73Gx2vK5L32VHzx9wifLc4S05dwl4mOgri0+ZHwuMI4sBUFIVAwEP9BUDUFliH2hUO3v8+u/+uf42hff5mJ9ho8Di4s1i/WcsCg8+cG5n+ODa1Nz45XXuLg4Z7G4wHvPuDH0QxEvVbZiyAqjUvnupUxH4PHLFqkNSmRSLCkBHzLCJ0QInJye03WOVG3QyRCl5mh2RDdsGYYVOmo0CtduEY1AVpbelXjabK9G1zWjkeBw/ypXjo6pJw3eu91n/i/nFv8LX+I/9/kv8iff/3aR/SiDj4HNslhI66omREf2hVXexYzVFdPZBLeOOyOZYqQqLi5bartgGByTvWN86AgeYr9BkZnoGifL1FPLn+G0BG13To6RZu+Itu0RqiDdcgajVOH36kK3IQ8QDaZqsGKElRXzfkWyEud7PnzwY9qwZVQbctY0leVLn36br3/2FlevHXP15hFKwcu54KOnp7zz4Yesl1eZN4724gU+BKRUuDxgrC6Ftn4oLfYkMDLjhp89NAVGg00w7N74YnRcuXKH/WbEg819og/89P4DhDCs2hXvfvgRIQyEmNk/+jS9Oqdvz8kxl3yfECWyEUUp7AqJkSXvFbLD7Jj8jlLokTKh9IhaS3wOeJ8QDPRuzbRpeO36GwzAk9PTQuvRCk1CGMFs/yrLxYLgPd5HrFFU1YjObUDA3mhE8IFt6DFa4LMnIqlsxWazKaZBIUreeTftXG7maCmxtip4NzJdKJO9mHfmvRyJMeN9yZBDWTooacBAzomQPf/sW/+E1q1KVlWqEgEKA56yRRC5PPx6F1kuB0QspTKrDFZnejKzRnNy/hyRBc5vUV3kyt6YV682vHFzH2Tm/vMVz07XdL3j2v6URTcUw6eOVMagKklVed66NeLV65KQ4OmLgR9/vODJ8iUxWiajGcpa2mFAx8TgV4wmM4xUrNsNClAKLpdLUjb4oWNqa4bUY5RBocrFKUsqZUk2gjAIpdgb7ZGEYLO5oBu2O15xidLkBD5CSp4//Ol9dGVptx7ni7DLWFOiMCKRpWDIgpQCVkqUqgghk8Ows+gqdE68fuOYjx8/pZmNuH5Ucff6hMORQfrIvVXP2Ubz8fYZElUQnyJz63DKF+7uM7E3+b33n5DlmKqOmJhR2nP7lde4evU1Xr12i+ODKQf7I45mE2bjihgTvUt0XrEZAvP5gkcP7/GTD37I02fP8GX8R6BQIgqK1ONdYDra540bN3l2cYELgM1ARGqwCu7euom1mQ+fnpR/J2mJybEKiRwLeSBnkBEECYMm7bZhlTa46EtpziesmqCk4O0vfoVXbtzmm9/6Z7jQo6SmavZ4unBsujV3b+wRs2JIDiUCta0IOSGVLXsXkcsKv3cIY1C6QapMFz3v3f8Yo8xuui6RJDZuYNxYEhO882Qh8ChkLjhaosHFSJaZWlmktlSVIvaeu3fv8Oz0hOV6i0yh+CSE5Nr+VRaLU/rQ4VOmsiXDixxhKg2hUMVSjEQhUTnhhp7rt27xxt23+OkPvs+mW5GFQkjNxpeXwIxAUmIRRIHr3M48GnAY/u6Hz3i0caxDh4iR0WxKpRtGKvGXvvR5vvnj9zmZnyLErlgaElJJrBJkFzk7O0dKSV3XQCL2AeJA5z2z6ZR+21JJyXIYyDmhs0BYRQyJphlBliThd6v1ItHSEYgwqRXXbl3h4aOXhOipaAqON2uyKASaGDqMLBNc7z3r9TmzZsLbd1/n0ctnnCw2ZYqdE861ZVodwEjwLhc/Ri4EkBgzbb+hVhbdWIYYUVUgxDUhBLoc0ELT1A2DK/0rIQUiC4yocN5hpcS1HSEUCk+ImZQis1HFjeNDPn78Eqkkt69f5dnpnCcvTvDBY3JCaI9Whn4YyuVcWaSBmFIhRPlMdglBkQ4loai1onUBQcH/6rrCUGg/fXBoIcgiUY9qTJTMtx6rDSInhCma+iw0CU3GwVB+DzEKlxK6anBDj7UC53qqekLOQxEFaYPKkaNRjcoZZTSnyx6tdUF59uXnXq0uEMbQDx1ag9SyFJVjib1mHRjtTdksFlw8f8EVqyCDNw3JFWRxlCCVAFE2+skIojSkuMUqzc2rMxYrR3sxp7YVusp4rxhC4N6Dd9isL2gqw+AzLgQkPdIYjCqkGikkEIpA0taMzR4hu4JdbvuyLc8Zq2WJoezvYYRmuZgz9D2Zgp0u3ZiCe8xZAkMxnaPIUYLoeeedb5TPNGXq0T43r17h8elTht4hRcS5nlbb3WY/FUtxAucip2fnRAFPL084W18SUyzRn0qiQok4ZjTWSrz3ZCtwfcbkBEKT8XS+3ZECS+zs2o0jPvupt/jUW1+Gj39IzpHOt9jKsN6sIAqsHpXnRgq0fcv8ck4SEa1BZ03rCso0SsXgOmptkViEEbgQkTmzdzCjmdScL1aQOozWKF3Ru5b92SGr9YZIZkgZSWA0bogyEXBUowrvfHHCeIi5yPbGI8PlPLHZ9qw3LeeXa777ox8yHlne/+Qhi8WAHwoW+F/pJf5H7/4I7xxKaoyuyXEoLHBdYbQlOEcUicpIuuD58f2fMKonVMbSxYDMgT5E3vnkz/jo2ZhN7zhojoj9wP7+EVVrWa4ucSHgVSplS2tQpiLFSMiQkmC5nCOkYIi+rPSkKOr0mFGiyCCEkKW9bkfUk9u0YUvvz6hERZYSpaaYlEgpUjVjbt95ndnRDfzea4wOKmYjgXdl47DarOn7lna7pnc9PgUklMlHiLuDV5TIhgBTNcX8GmK5vCpbNMsxYup9dFXTr+eIqHh6ekYfoK4Mv/TZz3L16g2+/433GJzDuYjQifnifmnyRFmsdToXSxyKupa4fodyygmkJfmC23J4lK6IrkOmGm0rhs0KVFnvpcRu+uF5fP4UFwODLyVXYmBUV2WyEiJNXXOwN+PsfInrW9wwAOV/W25WkGVBN0WQIuNCz7Zbo5WEKHekgkLzkBpUDAWjFRNCFl5vTL5YXxHkEFCmRshYWMlCI7Up0qjk6fodylRILtozpJJM9vbpti3BtZDVrmBYpkUJsZNGBEa6pjYZ7z2CBmMkm8Wa6d6IzTDg8UykYmRHHM1GvP3GEUf7NZV+wWLV0Q+Z/XpMEtDLyNF4hMiSt79Q8Zu/fJPLhePpqUOkyK99eZ9/57du8XvfPuXb73iUHPH6tbf48N5P6Z2nnlja9RZSgeBlyQ6naMg5UVcNYNFiYLtZ88qrV1hutpxdzgkJhFBImbm+P2bbb2ldYeLnBEO/+3cwFSJ4qAzCR/ohIbJHmUx2sWATsyYpSRciOieCS5jdC3GSBZMXQypkIgPWaH768UfUSjOrDLePR3z9s9d5++51tr2jfv8Z3/vgnJvHB9x/dlqYxUpz+3jE3/ziLT4+X5FDy+lqTTOa4F3HRI+5c/NN3nrzC+yPaw5nYyajmnEtmJhI51MxdbqMc4m2TSz7uBPMOVo3lHe9Xc5bSMgpUVWGalzz5mu3eLE+L6xv53eCtEQUit/6/Ku8dn3Kf/Y7GzYJ1ustWivMbrMojEUmTyxLCYQsZXmRSza1MpYYBzKKJAa8h8VqxdWDgcZYFs6BVPTDhpMhc6kFH52vabtCDFGVpR5PGQaPzxt8v6ERlqBAViWrPzIjZs2MJ6f3UWQao9FkkgRjx2zXLdtNQlYlzpD6HqVHkIst1+3IP9YahBJIJEqM6OIlnzx5RnLlRYPk0VWN8IJ1uy2sea2xaKazKWlweCGoTAVLV/o5mdIXyJGFa1kvlnx47z1WQ0tdNaWInAIxBoQ16GxACEa2JqaI95kQHVFGni17Hl4Uy3OhWNQMvWOyfwB5Q60t2ppC3+k7XKb0jHY0oigyOUSqSuD6cvFMogw/cvIEF9ibTZFI1t2WrBRGSnzwpJjp+7ZQOlLaEcYMe3XDpu24enTMb/3GV3n34/exytKGjq5fUQlN0BmbNT5ntE70u7W7lCWOFqLgxs238KLBhafU0zGv3rnFo4cfsbw8Y7Z3jf29hvPFS/pgqCvDSBraPnK4X6NioBlnLteS+eUSBVTWIBVUpkKEEgUwytI0e2xWZ7gcmdYjZqMpb924zY8/+YAgE6KPVErzubt3uXE05eHpBVbDzesHnF+sWbuBHGKBByTL1dGElzGiTIP3iU2/2sVbMkqUaJwxhpzKRng7BKxUSC0ZpCD2gaQFldX4vvw9puM9FpuWKMtFRhmJawfybsOtFEgVi7ioMkWHLiRpyAQ6hBQsV3Os0gipeOX2dW5evcqf/fgjnICqsmiRuDOZMTGGs27AR0Eft8TSZEdHSRYWXVPOdaXYq6ZIoRlywG17ZEjMxiP+R3ev83S75XceveRlm/nt+RwlioMm+kTIERUqctqyNz2i9S1PTi+JMaOtIuaI7wVSRLQUnJzdo7F1eZ5YifIlHilCQNYNxtYo75hNZmy7DSEG1qHDanDdwNHBVUbTGY8e3iOmRFVVCJGYd6sivVIKkSOmasg+Ev2mGH1DZFQ1hDigpSDJTBgi6IykWIXX2zkvn3ZEk5kcHHB2eY4Za6KHnIrrou0TWidcilTKQEp8/MGPySQ0FnJg6BNZ14zHNa535BCQsZjSRYgEKZHalFiJyFhpC2QgR4btmqcvHqGt5tHjB7x8eUnXepQq26oSo87l76ggR8f84oRRXTGEsnHMJHwQgCuwFBtxw8DB0QF7WfLajbt00XO+OOFofMBpH5lMplw9vMO223K5Oi1JASVJu3K4rI8Z1isgEX0mhczh4RF+aAn9wHwe+Oyr+/yz81NqLZivttx7Mufy8kd4Gdiueharnm0cdn/mv8JLfLvdIkIqmVYBicykbvj6r/wluuT5wff+mCo7YgjoUBrx23aB3K2tJZnRZErqHaHgE1gsXpCyoj97tqPbaITS7DU15+4S5wWv33yF5XrJ+fx5mZBkD8SS6RYSJRPDDp+llMIIRciKJCLDsObZ2QOMMNh6wsRUdP2GqEsDWmlNEpLT8zkTe4LCcXaamVrJcvA8Pjvl+bMlL07POV0sOD54ne1ygfct2ZeDWQgJQWBMQ2VqlNH0wxKPQKZyuMSUMbrmxvFt5uslQ/aE0DFtDKs2s183fOrWTU5XhWkrd0dYihIRSpu7Ho/wg0NKXXCYbUfwiVduvcbp+QkhFpJDloa+62kqg7GZlDSqGuODQ+uimC7cUsUQPE1VoUIih2KWg6K2Hnxkv5ng25bbN27ym//ar/G73/gjFnNJzmU1OF+UDFoMEUiF1rCTpighSgkoZpTJxOBQurw81LLCyVRyvNoQ/U7AsuO/eh9wfsCObHn5UQqjNW23QmVFSoXSUZkKqcH3rvDCd011ozRV3bDuVqQoGY2mGNlx5eo10trR9huEUXihsLkUB5MWSFWxXDv29BgPXLY9T882rFrHYt2iRSKlxNYtCRGm0xHX9/f4zBuZX/nCjG/+Sc/ztSV6S4wd7z5OjM2Sv/7nr3C43/K7f7jm5YtHNM2YkNckNFINKAIuSxKBUWWobcPGB4ackKmsTG9dOeB/+u//Nb7xB9/l4nJF9JFRZUkxcHq5KtlyMkJqQg4kX3CA1kX2969xPj9DWEAkciy8ZKQh5TIRyL7gw5LYFZpDoK5HGC3xIdGMD3F9i1UZFzrIhtlhw+Foj7cO9vjap2/w+i+/yXqx4eHZkof2jE321DIwRHBtx0+fOP4ff/Ixyz6yCRJFYrtdFi52yHx0/13mizXXr95BKYHVAR0diEjbDoybMUNyfHj/PtVoH+dbPnz6gCwik8ay7V3J9ua4s/0lVAxsVnO+8acX2NGYvcmMzeVAqjWi90Sf+P13Puba4yl9UmzbHqVKAVgnTVM1+CyLlE6Vcrb3rpAfjEbbEZUdc37+FCV21Cgj+PD+T3j08BOUTBxN9zhdL0G6HXa3TH2vHF/j5tU93vvwYzbtAklTUG1WkYMjDpGq1nif6fqWWpsdJWbOxnmSFIxtKeehMkd7I/puoAeQsvRiogepUKSdpC+Q6wn9UIqDRkIfhlK804p1GJjUAqcybbvGh4StRCGF9JkUSlSpIxdsGsXfcefoNtk71uef0Pme7fmWuqowOSNqyzAMBWKXQBtB8JlNtyUJmI6niN4RcsEDy7DBDY7KGITIGNWwWlwQcPyXf/gtEpmQygAn+kCUCpEko2aEFJLF5gKrFD4HwhCYVIa62mPSTKnrEfP5edlCqeISkUkghebw6IDBOdqhLTETEVE5sRlaRvWElMqz+PxsQdf3aKnJ0eNzQlIha8v1G7eYnz4ugxzK75PIGa8DL9YL2uBxaclnXnmb//g//Fv81//1/5UfbdbcvGq5O9M8lCNeLh1jK/hLXz3i02/tMZsWkVCOmbP5wO9/9wl/8OMz2i5SZU3n1jRVxWjSIGPBBFpl0Erx+o07WGX56eMHrLsOROLOZMzf/Mpn+Ls/vs97nwiyT6x7x5/84AE5+UJDYjf9xjHWnkqN+Ne+8lt854Pv4i86tJbEFEkxodnFsowi5wShfKc+/9bnePXuZ/mDb/wDYo64bkAKxZWjm1Rasx2eYupMv+qJPgEGqzSda3FERlVFio6+cztFREJJw1FtqaXitO2Z7t3AuS3rtuXpyTmt65BWcr7pMKYhxA37zZhPTSb89NkZGMGda9d5+vIEXWWgIUVHdo6UBZvUEaRiVI1BFChFSPCNZyd4ocqFLjh8jgQRsMqSRObmbMJF2xOkKJ09FMpYQgjFE2IkKUAIjiAzejfskjsscM6yxP0ahdahbGEn+2zb9S4XDwSHaqbYiSZ1GT8MSKHxqZjp221HGDq0NuQitWAYHLW19K7YXGtR8eaVt7i/uM9n7r7GycUFZ6fnRF+GoI6MD46r149pfc/LszOEyDuXhMIqQ9eXTV0IW2TOQMEtN9WEttvQjEZkNeCHzGx0yGJ1gneBSskdBjqQar2LuZZhVM4RpODW8RXOFhc8f3nGP//O9/jBT++zvHjBxfoCXUHyEiUkuvLFoSEVbx7M+GS1wudM63yJuEvASFTKCFUjASUSo4ll1S+RUbK+/xMEEW0rjsaH7I9qbtx6k//Z3/rf88ff/n2+8U/+KxKFxS8FiJzYLk9RSZAAIwRGKPp2wBPJUvBPf3DC3/zXX+XPPlrg3ADZ8vzsBaeLiBSS0Dkul5cMpF+otPov9RJvbcWQExhJ6HuUAlTNm5/9cmm3qz9ls1rxMz08OdG6RAgemwVCSNyqQ5qEknsENqiYQUSQZbasdyvI3gWEUiilePbyI4aYi/BElO59iqUoYSuDyEUOE2MmGonP5ZKiUnlrrMeCw/2Kvs9cLhZoYzA6QNYYo9l2Sz558gGb+RkXZzN+85U97g2J9y7XXK7XtOvMZtjQu0B78YgUesbjCX2/YX9q+cKt67w43/LoYo0Cbt58jRcnD3Hzy6KhTxmpNDFF5ssX+MFTSc1iUdijxmq61PHNb/8RZ5cbNpu2CGeUobhZBRrF0HZEmWgk/NIbn+L+02ecXV6Sc0FNtasOJQVZFBbxpBE0TcVq4zFGQ2wLmk1JJBG3M3/euHaFtt2wWvQoUUg5SUCIkfXQIqTh4ZMT1v/0W1xcXjB05ZLTmAryzlgq2GUfizwouyL0KKUSU0Q9+WfFP8Gdm7d4dW/Cnz56xtZ3GFEO46q2uN4jsioPDh+QGVzwuOhKxi8UIoL3gVZsComDzGqzRBuLrCc4tyWnHlNVJTu33WDsmK99+S/w0fs/ZnMyoLNiu5gTtWCsKoZBUY8sQ+u4DIGm63l2rum2z2hGhu3WsXWF8NKLRGU006bm6hH8xlf2+P3vZUJ1zM1aQEyEOGHdt2y2mt/91pr/yV+9wpMXHX/0o0UpFEWBlgMViSEWJGBVSbQyNMay7VeFgy8p2DIm/Pb/+x9zerGEGBk1hruvvIbKifc+/hghQWSBVYYQE1omyBZTNbxy61P0/cBmWJXPzOriKtCatm8J0ZWHcFPhXImxSWWYTo4wWnC6fMnQl/7FxjuU0BgFSMW8azlpJ7yYb7i22tL3DhMDkxwQoaNW0LcOoSvmfeSDZwt+45c/x/km8kKsiG1EuMDQDjx4/JBnz084OnpM51r6YUGNobZjhm6LsoaQM33YIFGE4IluIMOOxZ+LwTfEUoAUiqwbsigbim7T0m46rIDRZJ8+r5FK8Ml8waPLZYn8WVNKS96z9aBiTwqZJGI5nIZIFAGRE5JSWN9slmglqW1D7zpk0uAd23RR0KbjK0hpCUPPuLI0ukHUnlGjyurZVDg3kMQGITVu6FGkgunLBe0Gia3bQkyMKktVWw6m+yzm5wwukkOk7ROTg2PcxRLQpNyhVQVQnpHCE0Wm2/bFZqwEOSuOakUYG7KwpK4teD7KhhCrCpI0CEJoS6wueiQSh0AaQyUs90+e0MiC600iU5u62EZrRbfe0kxqjkYjTi6XuDigtIUhI41m6HumdU3nMkO3JRCKYCgGBpewY0FOnms3X2N5fo73a8iSUbOHGo9YbU7xKbJar8uLPJL10GG1YTrbZ71uuXZk+Xf+wlfRzT6/990f8NHH7+GjRFrD0PWMJvsMscSQ6toydAOjqmY8mhUpVKW5WC34//zu79M5h7ESJVQpeNcVX7j7Szw5f0HYbPEuoSqLG7aQNAd717ncnPHee3+G1oq+Tzx79gn/6J/8d5zNzxg1I45V5n/x9dt879GUn56f8+/9pWs8vwz89398xsllZm9kuHNoGNeC3/jqNf7Kr9/h//T/fJ+TtSLnHgcYnxnSQPIZj8RIxeOLE7quZ/BDoXjkxJmL/M47jzjdbHG7Fzu1M0JrrckuUk9mdG7LsnP8xF1gdc133v+zYuyWgs4V03oKCV2N2d874HJ1idagZCYSuZyv0OoJVVPjhcd1Cpkjz589Ye9gRj2ybNsFe+M9XO8JORJCpDYVqqloasuiP0VKRWMrQiis+HEjmaiay5BovUNKy+nFOSJvyN4ztjVaKjySLmpkFsw7R3VgqVvJfNODMrRDj1AdIkRSLi8/XS6RzWrvgG1byofd4HipLFf2BGwTSo3IyZXtc3ZkJL1RRBIxSbbdEluPsMJADmhdAakMK3JJh2ajyBlCDoWmlUAZi6D8LF23IXbrMiyo6lI/NRUjW2GE4tnyBemyiBj3p4eQMxu/IQtBlpmj6QGbdqB1PcJtCwLUDcjacLo5J/QDL88u8AFev/46m37Lk/MTQgjUVcN629P1G9jhi6XQJCEKnjIUqZGRhqx2w6e6Yn/vAOc8KUDXO5pqzI1r11lsztBKMx1PqPb3mF+8IKKI2ZVtEoKu7whETi7P6H0gA/cf30fJpwzeUY8t48mMxcUFyWVmezP8ugUJK1+4+KTEQAItqFXGh1S2eSmjhObNWzc4HDe88+wpi8UaJwQ6S3zcctYPHO9NWCzP+aM/+R4Xywv2JhN6t9qlOiqCc9gkcDlgjMY7R13VWGuLN0AK/vTHc/7SV2/yN379Jn//j05otyvW2/OSbNCC5AQ5GxoLA/9iMs0v+t8vLnsaT9GxBPdyTLtpsWJ0cBWrDauzl/hQpE4hlqyWkOLnggUpNFppkh8Iuaw4baUYZ4UZQR81225AGYvrC76trgqyKeSy6pEqM5kdcXhwwLNn94lBltZ53xMlVLUtxjRb0fqA6x3T6QGKjI+Rvu9RtULkRK3rwk4GslKMqxGfun7ARCZaF3mxdbycz0sUQxRzotsUqUdKGWUUX7x7k//dX/0i7zw7429/4126JPEpkaNHDD1DiuQUkVYV+VBOxVImM5WoQUGfBwgBbRQayRAKYkxIQYxFQJJjJuCpaotRhtlkynK9pu8dKRWUZM6hrJiQKKFLsYhISDs6AKVAujcZc/3qMR89fIxRgtHYEkNm0/cgFNk7lDIgdSGhSE0OZR0lRCyF0JxLPtoXaoBVVVFAi1KsCiEiRJEbVEISYyRIwBhEylwZTfj6p17jx89P+OTl80IGEIVMlCmyK0goUTJ6xk4QeFKGth9QRqMpDyvBjo+NRumCu8qpvFwoUWIVKWek1Lx6+y6bzYrz5SVCZHKEG7f2ONg/5PT8Eg343qOkYVJXXD8cY61A6GJd9RTOckyaejTi2v6Uv/ZrDUoqHp0ccHAwYzZqyCmy3HacL9acLzvWqyW/fCcwmMhv/8MTXp6v6F3g1tENTk6flpJbEpCLyMaHWFjIUtLUI4yxrNoFVlalBB4HhBHcOrpK2wVO55cIERhPpxxURzw/f4pUiSEr7t64Sbvdst6siAhS9FRVxVu33uCjp48YogeRGPqWZtRQ6Zrj8QE+WVbrS6QAlyPOt5AEiYRRGtnAyBiuHO7x2dv7fOmNA968ss/ZkHn/yZx7D094frKh6x29T9x5/S3u3btHLTWfe+WQ73/8mMW2o6lsKZMmCNEXC6HQZUSTE7aq6YeeptYlAmJGbNdzokzkkBBZoHd51UI5sCSV8d5ha0vd7JF9R7dtd8MCePX6G3z5y7/O733z/0vv1sWo6iJaGHzK5OyZzsYEFwjDQBKZnDXj8Yy+a8u0klSQZG6gsRYvRMlGpgBEjC5r/hACI2NKKb+umeiGv/H2L/Nw/pT3n52w7sp0t+t7lJKlaxOLzdFqvYtVTRhPJ2y2K4SEv/JLd/n6W9f4xk9e8uGTU9rkWG9XCG1RsiIEj0Cy6TbYShL7UCzVOTKeTCBqttslk1GNEZovvnKLd5883vHhy6Qx5UxlKrSW5JzKGj05kqBM9BE77b0hhIHk4drxbTbbOdthVfo6piILj0wRITWV1ozHE5arFTFFVNSgIikn/vWv/ArPTs74+MXTIqvJZTCwdQ5bVfjBM6pqhtCRd4XZg6M7TCaHnJ1/ghu6Ms0VIJQosiQJlR0RQ+RgOuEv/+pXOb7+Or/3rT/kwcMPCZky9IiBZrRH8D211bzx+lsslkvWizV3rn2KH334pyQVUVkRo+fo6qv02wuCK7x6JTO3b1xh1a5ZrDqytCWuQGFUizRC0JFC4Mr+lLX36GpEzAmZS//n7p7hN946RleJv/ZXb7F84fi//8GStbrFKzdf50bVc1B3/NnDOT/86B3efsPwV379Fv/Jf/4jnpx0WKO4PZly4VyJRUZfYlMpE3dWyxQgiYAQFqVrEgNx9+yUQqFEYnpwwHq1QGdDHz1CZUIsDoxxPUFbWK/XxBioZEWKATs6pNaatl3ShR4ldsJCSmen1oXH7T3YqqEZNSjpadcdKSdev/UWD19+RMxFhBN3vQApI25ISFWhiNRN2ejEEKnGDX4onTglBVZLnM9oAUZaVK2xkxl7zZhxrfE5sdlsWKxbht6BFBwcHXF5ekLAoYUsUVISylikbArEwRfgxu2DCV967Sp/9OEJyVR07ZIYBrS2SGXo3UClSslxO7Ts7R8xMg0vz54xm90oyYB2Xozi2uB9T2UrggsoVZw4Qimm4wk+OWQS+JzJMWDGR4ShJ2aHRbI3m7Id2t3doMSoBLIMWiRkJbh1dIN26Fl2K+LgUFpjhC+knWgZhg3SNiipqSlug7P5nBAzTgQIgbpSRCGppCw9uiywRpEC9AzFku4K0jeTkEYTfKKqNdvNFoVmXI3ofMuoGvHpVz/Hjx78CG0kk+qAk4uXVLraRXAHlJC754EiRL9DakpCCBjbMN2fcXm+KIVcI9Ba0TSG5cWmxKitKokDcnEBKV0GjFkgRFVwn/2GpqkYfCAXeiZRliieEBGyZrJ/SDusCW5AWYV35WUpx0BtyqW99wEXO7TIjGXFkAWK0tO7ejDjf/sf3eWTFxv+X3//PgtfIpcpCrTI9L3jjTtjnp5suVj9i1nxv8j1/Be+xI9GY3QSeGLJtrmIUAkha/YPrtN1C2JOhKGIK4J3uyyRR2ldHq5IcijlTikUE13x1z97m1//7G3+8dM1/+jb38f7gDYT6mnNtl1hgyDmhCNihKWuRoynE85On5fMnpGkLEihcJKVmnJ0dJ1qcsSDe99DZYcyFX0/lEuAtaU4lCJmF+WQlWZvPOL20YhV51itBlLKLLoWpELnUigMISGIjKsxdSM4mh5xZZRZrFtebhVVPWW7uWTTL/HelUsxAq0EOaWSkRS6sLRROO8RKqJSLk19dKl+itIQ10qScyAGdqKMREgJlVWJoeCRMpOCJufAK/s1lRrxaLXiwBqOJzXvnl4QQtHJCZE4aGZcu3rA2Do+eHhOF4ogSmZZcHNZIrVGyIhIAmFFKQylCltpQix0gsEVW2xKmaZqiCHh4kBVVTSqJqbMdlhjheTX7lzj+XLDx9u+yGgijKsZ164ccbo4ZbPtyJRsvw+gZcbIUoh1g8MajalNaevvNhtClJc6kVPBkwaJsJoYi7wmQ5nKxgBSEobIdDShz5mcBNG3jMcNx0eHHO4fcv/xIw6qmsF3xCwY6YbjKwe4botuJD6W/JvKgsbUTPdrjg9r/uO/OuPeo5qqvsIrNw65c+MKVaV5drLg4bNzHr284Ox8g2XOn/uq5T/97Zfce3qCQCET+GFTfn4KzSIDKksCoOqG67M9LpYrFtslSht0zsiccFIgKXUJLYsJTmnLZHyFflhCdLgQuHbtBtH1LFYLslKk4KlMgzLlkCpj7ABSMPiAQlBpTdq9pFd1jZKK9XZFETGAMRKRMqNJg7CaT1/b4+pUcWgtSwyny475YsXp+ZosZTGquoFNu/05Dz7KGRcXz6itYe/ggM1my2azYTyqISpSGgg7qVU3uNIDMernhj6pBGHo2NmECBm0yIgkyLpc5rJXVKMRWubC108BLQx740NMNWGxOqXv1qRcongxDlhbkeOOL5zTzoI5oKoK3zmUUtS2+C9iKtPLuMP6FZsb6N2auKpHDH7AB0etJMcHxwSROaoaNq7ndL0hh0DIJUbWaPvzrZPRhuQLJk7YUvZCwPGs5t/96uf4i5++w9/+J9/nB5+8ROrEpi0xCFNVuFRegApLu8FmQdYCuQMAGFXTthu0KFG1N6/d4f7Zc7puIGtZLnaSYvYMmUnT0KUBqSyHx8fMT56jZE0zGrHuFmghsWbCf/Dv/W/48Y+/x7vvfhMXI0ezI8bjhqcvnuIBawxCGQQOtx2Q9RiRAj46ZqPJ7rPODKHjytFNhJKcnj1mZMd0wxYQaGOIwZUujR1z6+o1Tk9e0g9bhNixy4G024KKzM+5+8rWJZaSB2KM5FQGUjF5MorrBwccH+zzta/8Ou988D7vfPAeVkiWYUNtNUeT60WipTJX60LIstc+zaMn73B5eV4AAkKjm1lBCstAjWa+WVGPZjB0fP7uDd5/ekIWBeMbosMqw62DMTf3LP/R37jKdhW5O7nOHz3xPFhOGY0OGTcjBIn3HnzA+fkJp4tL/u0/N+P1myP+0//iXdqQmVWWXsLQDSgB2mpIFKlPzEQ0kcK5Ho32idEhcPjhZ4OghG1quqFD5XJ2pVw6VtoYUs5oYfFpQ8xQKUXvQykZGlVK7NkRhUalIg5Ku56AUhkZFZgSeVVCI6Qmq4AVNavNSalWqXpHFtHYWrG8LLFDU0lqLMEH1r5H7qIMkUhlChe/dYVsN6osurKM9g45GE3KM2U37BvallW7Zr7acjg55LCp2fQdJ4sLhuBAZJSQ+CRK80zsijApcTiZMGka7p+fU0mFCz0RQaUt3nlm+/scNg0Pz84YTfYRzhH9QDM+JuCxwJADvmtxQ4eUmiRKbElKhc+Zg9keLjhMhjY5kovYZryLs7VINJPRIdWowfuOdrNCS+i9IyOolKYbeoyyaFOTpacxmpAzv3RrwpdevcF/+c33CDKR9QiRPWEIhBiQWVKPR2QVcdsOYyUpFpFj9KngMWWNGTUEv6ZtB4wwXLt6B1RmZgTPz88YUiB5R0iCFEs2XUvL/vQqF6tTAAwJVY3Y27vOevECl1oGF8hJMraWwXuEAF2XPp1ImhyLWMz/nONeTM+uj1TVhHpvj+XlMyZK0PrA3mSf7dCRpSo/vwj4GIs3R0gkFCyytsV5pRQhZPbHByxXJyBVeTkRpY4fQmBvckzKkRQHkBYfyt3FR4Xe0fdilExqx9/662/wubeOeOfBkvtPViznjqMjzdc+d5WjgzH/h//z93h6uvkffIn/heM0dTUC74tGmnJ4Ba/ROrNZnBT8pI5oaQt0IEMOCauK+jyTccGhpcBai8iZLjpetgPPTpY8evyyXLyM2GU5VRFh5AiVQUfJuNYYnVguzjicHnJ0NOb52TmHB7c5P31EVoLDyVVSDKzO7iFiJiqNSIlRpXcX2dKB8iHQ7lrmynsGnxFu4PNHM77XB7qY0V6RoyCJkn+qRwaZRwgh2Ky2DMNLHroEdkzKLftS09Qzlqs5RhmyVnjnKZLMjKoMMQzc3r/DBs/EWJbtmtV6hUq5CCu0JvlAMypin0wROPkQiDEidlk3gSBlSQ6x5OoQ7DWWmwdj7s8vWA8SURfbm5VlgpRSYtmtWT/ZcufomJAUYrdTKcgwSa0sKZdJsNAGImhTWLquD0hdVNWCovyOORW7ZOoRURF8ZEg9ShVLXiUlX7l7hVvddS7uPeNifsb+bMpmvebR8w13br3G0YHm44fvUI8a9o9ndKs1MgViArQhxkDqS4ZMZEElLW+8cpf7Tz4hZYcPGQlk7zFK7tCBkYxBZcXIWloiPgqUgpjL9Hm7bRmGHtd2+GFgTZGWSJeRxrDpehaLDWKZMLUhe8XReAZjU6JSYcCIyOAEusoIymHW1IbK7KhESqB0oncZIyVu2DJpJlT1hLOXD4k5kbPEyVLoLRKVxOAGKiV5fPqC6BNCaXKIeBEhScbT/UJMyZEw9EhryoHdr5iOR2xWRRMupEFKz/H0OvPtOX0uL3Qx9KQY0UJRmZree6b1jCE6+tAjpMFYTcyettsUcx2CvWqMkIJq3HD1+C4vTj/k0cs5qwuwVUUrdtMyLMqMOL285Mq+xQ27abCPtCFy7bW7rFZnpFR6NFZbKmsIPjKdHLBanzOdHKCsRS5PdsbIGTF06MmIod8ilKcxFW0skztyQFldMJAe6kbTDltkEoTgkZUhxZ7z+UtQFm1K+U4kgMx41CCFZX/cMIjI+eU5SehSrBYSrQ3IRBARkTJ2h1DVSpNiwhpD326ZjPZx3jG4DqUswkTqUc2mc3QucJ4uUUKA1hgj0UlztHcTmTpO5udIocoGT8FkPC3kIqvZq6estlv+yY8/5vnCs4iGT9084q//ubf4O7//Ax6cruh/dvCbqkTZVIkbdr3DWgsq0baLgn5UFX0IvPfsESFnpuMRzkdmx3tMJiOePTsBBV0K+JCopWYz31Kb5uc8eilrmrpicJ5/9ke/w3p5gUuRrOBis2A5bOijK3booNCpmJyFqahF5vh4ytOzy+KnGFUcNgOXW8lm2JKcJyfo+xZHYlxPGdUzlquT8lIXMy9PnpdcfIS0e+4IKXbdHMXe4RFpGFitVqTQE41iMh6zHlbIlHblPsHVvRlvvf4Wj548wi8uuTh/wpA8URWLqWomeBWRUXPtaMYha/o+8PjxI/p+KLKZKMgi47crjl95k+BWLC9KPj+GAmL44MET+qRQJtHI4hNJSnDRbnntpsWLir/3rRd85u4hZnTMzVvXGDX7VNLiQ8+dmzfZrFfM6hnffqflz3/lCq/fbfjpR1v6VKgbRYoB0QcGMrW2JAGHs2PafsvQb4nJc3B4wHazxYclWZUzquuH0gexxagrXXlhltri+xXXDo6Qasaz86cIoaikKEVRIqNmyuHhazx6dr9EDjKkFAv2NUSsKqCH2fQ6167cJknPertipCX5bGC5XkJwCFXEbWFIiFQGZ8l5OhVhRyCrtS0bAig2XCTCBJQwfOqVt3l58YRKC4739qnHDTFmlNnQR09uDSFk5usFN6avcvPODVbbLUk6/FBw1+SIVZbbxzNeLFpMNWH/cA8VLVIsSdFjlaH3fieiSqzbLev1HJEl0kc+/+qnuff8PZbbl1w7vsIXP3OXb37v+7hQpu43b76JS4nTs0cQPEoqFssl4DFSlhceqwhuS0yZytZcv/YqF+cXrFdnhDCglWY2nTFcXiBNuTQrq4neI4PAE1Ba4FPm3osl50uHMRaRfHFsyPIsU0IgpcS7nv29KRsfIcLR/gGrrgXfI3xGNoJJXbEJnpQHpEj0bkvftwxSFRGirRARIKAERAmD71l1Z0idmI726LctKWYu5icFkx0jAkDy862XEhk/FACJEgPCTKhsZjbd58rhTe5//JMCvlAJnx2y3xYefyjfua7vUJUixkzGkYQuz11VBsPNqCZ48EGUDfS04bLtGdKAUMWEnFMkyITNkspo1u28XG6JqBq++tZtThYXPDjryaIMSkVyZG/423/vAVePH/Mrn77KF17fYzqqeHq+4ff++DnvP9lyNv+XE6f5hS/x/+a/+Tf48Y/+hIePHzDsIiMIRfSenC0CjxZjxtUBfT8vGCJjMQZ6X6yh1hZGpgtlVepcx3cenvLDp2eshpKz9DEiRGazWaOExhOZmRG1lfS9o3cdMXqEqmh9w0iPCcOCptGlLNW+YAh+N43tUWJM8BFjNcNQim9WaaSqqKymGzpikgx9S0wzBiFRumZxeYo1DcpKrIZ2WyRBe9MZr9/exzZjfvjhPULsCUiSD5x3L8iU3LkQgIhokfGkQlCICasa6maPUQVnJ8/oXTmAhCo85Rgy0QeS6HaFUYHVCq0F2pTLRAgJrEINRT0cQo8Umntzz3snT5DS4BWczteQy5dcm5o4DEipSNnzcrNhsjdlu10XpJLfIrPg2uExQiuen7zE+w6jJMTM0cEh6+WWPjmMUozrBuc9ti7KrJDXNFaTRZFC9M4hUWyi4z//0w+LsU9UjKqKK6MxYUj41COE53DvgBemQQbBdj5Hi10RxVDezimHgBK7QzKVMmYsOAQmVWEH101NIpODL0r6VHTPy21LPZ6SpEKnTPAl/x8FSK3oN0tqUbZE1XTE0dEhvXNcXF4SKGr4mDN7sylvvvUaL87P8f1AW0vWQybJDaeLCrJkvukYVZZ2cFwuO3oXcSEzqWA7eFwoU8F1e4FUgpw02tYkEoMIJMoLZiGglIdbVTdFRtGVqYLQgs1yDgIOpoc4JHEXcdrfMzu+ciATOT97itYNv/r2F3n05BlPXjwg+oitRiAiWQsGAtlAyoG96ZjT8w4FpAjOh2LYTQHfO145qHn79Vf4wYNnnJ6dsFxuEUQGDWG+JplxyVvjiy23ssyX8/KyohU1miEl5mdPERQU5HK12j1oi5592S5I2fPa3bf40pe+xu/8979N367Z9nPGTU3oO3QI6Lowj0VKVFbhukgKApQs6Lecaaym25bJJLFMaZXKZBnL9knuhGg+lmlK7AlG4gdXtnaJHXmpFL8ba3FuKEVsHJ5MowsBqes6jG7YOE9tCynKxZ5KK2IQuDAU+Rd1ISH1A9kYZpOGX33jVa4eXOG/+/Y/Y7k+KxjfnJhvelKWvHntKleOD/n+T++x9ZrvfvSETddyc2/Ei0sP1QSlCqb04MoB1w8PePzsJYuuK3lYofCxIAZzKlSxkQZdaZatB5HpBodSGikqhg7Gs2OSlKyX5xiVkKlnMrLcufF57t1/h8FtSFExlHorT5+8T4oZq2tiGuiCI+XyMpljwlrNXjOj7TeFMW0Th4cTnpzN6WPL2MH/8uuf4x+885D3Li7wu/zwz3B2bbum36wLX9lqJrUlp0TXDWijCbEUK0d2jDaJbnAsLk7QAqQ0SJuRGKajo0K40pFh6DHSsFqt+eDex7Rx4OXlY4bBk5KnUhUH+/ustwOLzRkxwXx7ygc+MWoqol8QZSwvelLuvCaei2ef4FPGkgsOOZcpb0CRRcSYisElTNWQsuPo8Ig//+UDPvx4wbiZ0KeKcX3I8fFtjg73qcyY8+ULRo3l8vyCdd/T9w3f/ckFX/nMdT785BlSCipZcIMulXNOxUSiZP+rqqbdbpAkkvP41iFTgB3FN++ACvW4ITqPyGWQ432HJyGlZdtuGe+P0HpEZSpcdAy+0GIcmflqiSBT2woXPCBIwVPXY5JSTCd7vPn6p/m13/i30bbiez/4Q165MuGPvvsHbEOP33aoBMPgy3hp9wKQU0JnhdwZM6WBFIrvQWcYfMAHh7WKxXZF1KWQqLRgXI12wqmITkuGboMRHqsUp9sLHlw8JRGJTlJbTdt1ZBJDHnhyFggozKThwZPnxWzrB5ICS+lFpJxRUuGGAiYQStPHjsdnn+AGT2MEQiv6rrD8cwzYqiKFDjc4Yii/QRTgGilBFIo0lPhySsW82ruW5y8fFXqS7wgpE1Li5PK8mGNDLiQpoYlpYDwZ786QgRg9qwFaLwoik4wXkANooZEyYnS5x6zmS4IAoyWXy3nxAySPFBLnO9rzLSIqtLK0YSDMz1BkVjHtzqmEEIGEpFKSkMpmvdGG1cbRiy31dL8MzoYlMkuUsiASUpcoHJJC9aMU2E3dMB1ZvvL5XyJZw/e+/0P6XCz2QlgE0LernZCqlGaTgLGtWC3X5TwUFJlkFIDE9bEgZk0DKaLrESZGloslKSVyLqVkcokoaTUiip6cSucjB8fDsw0qGWTYcnT1Otv1nDY7vCpbjMu15R9++xT5nTNS2p3/KWPtmJT+FXPiZ/UBx7NrPMgPCN4xthVRRMKQkCIVGQaedXtO8C1KQRaRro8gNLopE1wSxDSUf/yscCIRy2MFrSH78jCRqmQuyYl2KBmo6AJJlriBkjCpNaaagIlc27vF6WrFo8fPGHYxGCkVyW2JUtI6QU6CejJjGLaY0ONj2RAoI3HJ8+GLJacdzFtXmOuh542rh+ASj3sN9YSE5ytf+gq/8qtf5T/5z/4vfDz/kOBWSF2VN3iVdsQPQcWIqCWx70smMXoqBZv+ksWlQ8fEWFmcHnA+MJs0dMNQst4KZC7Z+K53KA3SVHgfyUIxMRU+lwesFoYcEn1frGIyxbLaNRo/JIKLJbemMtPZmPVmQ4yBdrmgjwkZYtFxZzi9PEUIhcngY8IBWhou13PIAmssSgiGMJBlkVjZxmK8ondlEi61QYuE90VL3bpAyJ56pMjGcu/iZUFhJsGTly94+Pghta5QWuFcwMcBHwfGoxnWKIbYkwIIBUIYfIp88PheidJEiY+ubHq8L7/wlHhFjAmhBZNpyRT6vvv/c+hlxWyv5nh6hSfPH5WScYKpknx2T/LByw5hBF07lK5BjNQ6cDE/Z7veEnIkW8s7DzpevdHwrZ/O6VrP6cJidhcm1/esu552u+Urb2s+fFBoH8RAHtKO+95x/XBGU415/CJxZf8qL88e0UcPgNCSFAaUFtR1Q+u25EyhGAnNYjVHKU0KjhuzEV+5PuObD16CKlQkqcCaiiePHnC+7GjsGCUEdjQlpoBzLU1VokOPnz4nbXy55KqI9y2mrgt+kCLKuHIw4tVrE374MPP46Ydoa9EiY4TEJUHsezbe0YwnNAqEtqz7Aec9tVT4nIjCsd4+I6QIqWzzhALXBawuBzWm4oOP3uWTxx+xXi8QFOTfql0jpKE2uhhKs0frCu8GIsVv4F1kPJqS/YDSRTcPeTdxF2hbvAGCcpgNIUDKVBauT/dY+o4sNY0WjCYV3TayatdomclBYPSIYeiQtvDOfdwVvYRkr5mwSa4QS2RCZwkK2mFDpQy3r7/GZrtksXpRiuhkRFI8PT/jwnnW3YYkdWHLC4hZYYzh2ekZL04vMGbM5bonhwEfWp6mxO989x06PyBiotcZpWq+9vm3cT0snj4uHZwk8YSi0IgZKRNf+9RN7tw45L/65k9LptYFRHT4VcKaMf/hf/C/Zui2/N2/938jqHJBHXxmsbrE1hPafoWMAkNBCeYgaMaWPICXoIxB5szVg2NW7RLnHCs/4F2PkpK2D/zkwyewQwivRM8/ev8BF0PPtKq5GByByKbrsUqhzG5rGCO1KbSJNhT6jrFTkuvAdXiR+dTrd3n65Bkxr0khY6Tl8PAa2+2GwQ87JG8GrREKqvqAYCQm1fzw3hM6PxQrslJ84Ze+yJ/96EfE5KnNGJHWRCMLyzy1JTKQBVlRNOoZVMiw61LJDFKUqbttxuhBFMTsaIaWYYfcNNy8PuPi6Rlff2VGshZ7dJNrx/tcPbRUFRizx3Ng7/CY6vwlIQhOV47f/Ow+U3PKInTl7ImUMmUongh28dbnJ08KnrQqBclFvyaHlsZY3C6WiIQwFNobpN0Qa0RMA0IGumHNdu7w3lNXY6oGHA5ixvUbhrQpaGWfuPbKHYa2o1vNyQQqqxDZcuP25/jan/8rSKV49OB9vvOt3+fF6RNcuwEKjlElEKqmMpqcO7KQpBwQtqaSsuCkFViVyb64KCprCAlenN5nNJlix9PiGsmOSlRU2jI2NYGCDWz7La3vCCmUOC6WcT3CRU8YIMVEqDLeDywuT0tcLgzUlSGnCEpg9biw/oVC5VjiwDJBFlQ1ZPZZri958fKE58+el+eQEDjneXbysHSAcixkPl1hTY3rtqAywYfdhhw635F2vhSjJDpW2ErQx4iIDqsKD97HRKUkQ4qsuy0yR0RWKFFSQX0/oJBoabF5IO4iljGC0gIpywu/SgERM0OM5DyQyBgqrh3cYL46Qe1K7Vobhm4LWjOqTYk+D4GcRQFuDD11NUI3FavtFqEVPgnotoQ4kENGaYEWFT73uCFSVXX580cwbB0pBlLy3Lr5Bv/Wb/0Gf/aTj3CdQ2aNMoYQHSInDvZHtF2BNOgMLgRW6xU+F3lolkWSWSXoQ0LmgLQGn4qr6PTsjLbfMhtNcdHjnaCpDAmPS9AO5TMofR3DSBsWixV932O1ZVgti78nZbL3zJqaZVu4/jmWbqIWmWwlchfj+1d6if/pd/8Rz0/PmFSGbQKhLCn1O3toRc6ePnrG9RRJIkuJ67vCSA0R4XbCHiWK1ZRSiOjakm+TMuPRNHVF7wuiycUeYw2v3rjGqDbce/AYFyMqGXIyGJV48/Y+n35ln9duHPGDj18SPDx4+IysShxDVYqUEjobki4sk0k1pmvnSCmwaFznsdYQcuL0Yo40xdQ52tvj2vXXOL24gI2jaRo2m5Y/e/c+Hzx7xsn5CVpbEoL9vRFtN9C5oWTtc+FUGykRxqAri9H7uK5luV0wDJGgJQw9koCyhq3v0EIWMVKQCFFYr3VVM9aJPgS6XA4eU2mEKOi3prIs54uyypFlza2lKYijXWbYuRalJMvlkpgzClGKTzkhssSnXHCZEoYUyHiEkkwnM7p2Sxa5rMFjEX2ElJGytLRlWPLZ24f86GHJevthx4NXBdEniISUSa4vdsRd2VZIhciKlCSbocOmET7EIshSJbIijeLG4Q3OLp4yhFIG0jkxuA6RC/ZKyFxUyAlE1ty88SonZ08IwhGJeOd3WnpFlB4tNcf7e/zP//zn+OHDcx4/k0QBmorx5CoJTSUNV8aGxWpLnxS1lMwXC1Zhy35dUVcVk3rEn7zT8cVP1RwdrLg47RnailXIqGwYvCOlwLXjjuP9Cb/9jy8ZacP1O9d48uwF7XZL8JnL5YrGOo4Pr5DTQGUNQ59RymKNIXWllDm4UCYWhN33S+xKWQprFcoYHq4GehdICrIDowyTZsbbn/0NfvTxj3n+/AOE1SzXnpQCTdPgY+JisUSpgqcUGWRMSFGTug5kJgVJzor3Hp3y6Pk5p8sOoUGJTPYDfdKoekRtarphSdp2LFL5ziB3aDEiXoCKEmkkwmbSEKjVhL3JmA1nxCiQ2fLqK9d5/vwZ28UKoyBEynPCFpEZQbOKW1LOXL9yA1s1vHz5yY69KwtqMiZqA7qyhCEUNKrViFRhRSmUkiVNXRWjrZHs7Y0Zzgde9Fum9Yijg2PuLx6jdnIlnx05CDIJESUpR6RRmCwQxnL1yjGvzDTrDp4+f4TvB0AjZTEJP3jyiJg9dWVIQtIYgxSG73/yAVOtCb4nJYk1Fi8kQhZSTAwapQXOr4gJjFAYMyKkyMliXgACUpFD4GS+5Bvff5+hk+xNDti0a1J2KJkRKSNkQuvIZe9o2oRRiqEbyFmUiZ/vIWb++R//AYd7U0ieEMuWKObMYrFAKE1djXj17l0a23D/4fssOk8IEp88ygjyUIzFZMHQR4bQ0ztPigmjCw88CMm0qhEpkBI8WEf6IdBUGi0hZEltLTIX9Y/vA2M7gehYLJfMDm9QV5l2c4lCgLWMdMN7798vnoP4M5dHz3JxgY+ObZ9IMpN9wcKFkBi2A4EOicTWFTmUW4/zgX/+ne/ivEcJQUpLjFIc7O+z2mzw0VErg8ypcMyFKkK/FEgilY1wUmRRptNix5EPMRFSJHlBEpL5xRLBTY5GNX/5rSvcW9ecjUYIAePaMhlXrNels6KNQWlJpRSLi8C4Frx+rHn3BDpfvpNaRvYme6y2RaQlUkbLYgyXwnL3lTv86N49klSsXUDkjNWGKCgF0t6jVEVVVXTbvqCj65o+DgjvkcLQd1uUFSBTAUDk3XYrAUKwfHlGTqn4XBC4PqKM4+nZJ3zn29/CmIaLxTMW2zOETNT1FN9vQWgiCVNXtNtliT2pgnesqxoRPdtuYNbMGE2mDG3PsIHAUIyAIiG0ovUDm76FjUBph++Gcs6IyMZHtLY0o4blalXikSpzub5Am4bR3pTFakFK5cVx3DQMzhFDKvFGIXcvesXgLq3h6MoVLheXONdBhkdPT6iqaTlvRSmqphQxVtGHhPqZVM9arFDFdyMyWhbXhaot3u98M1JgAZkzsRvQUjKdjhmvB77+hTuEkPnex5dssqd3K1IGkTLj6YhpM+Xi8ozBezQWXUlcdIgEVd1gVM1yuabftmitmY4No3qfsRrxZHGGyJLkIqaecfXgJu1qydZvSMGjpNhlxiPdULjnRlcEyvO2qWtSdhgzIVYVvt2i1Q5GIVIZzsTIeDrj9HKLMTUiScZNw3y9xipBMKXrslic8969D/nhTz5gGBxSZAbXg5TlMRNKmdo5wRDKM0hIhVKGyWhE223xrnQHDLr0wNqeLMp9hj6TSfRDy2w25bO//DbvfXSPtmsZ6QyV5vD4iIuTU7bbnvF0RnBD2XBi2HRtSV0IjdSWth3IMZdNUpaMpmOSc/i+x1QZKRQx/w9nxf/Cl/iLzZwueTbtQMoalyIpKkTOpBSo9AgfNjjXk2Qi50QS5W3IKIuLAV1Z8EUYJbIgJldWkKoofcPgyJoiklCK6BxVgLs3b3Hlyj4ffPxJEQ1VDW0IXK43GOn5/GvHfOb16zw/b5lNDPuHY84uLknonf2uZPNSCigVEdoga4uIu0mJApUL8UBpi1aSa0c3+fLX/zJf/tLX+d3f/W/48P4ntN0SmQ0//eDH7BlL7TsWsSNJWPcddb1HOwS00hhR0IiVMAgp+ZXPfY3LxQoXBl5ePMLqyOGVEatlS5Y1KSo26y1ddFhTU9VTbtx+jb5d0ljNrcqzaNe883JeJAZDy7rtIGa6fltKxMmjpCXmcpE2oiLlWOg8onQDsixlwZgSMUuuHN1i7+iYp08+QqtMjJm0468iJVLnki+PAoTApaHk9WQEJN4PbJ3gyfmaT7/yOgjFx8+eEn3PaDQl+aFQi2Thy8dY0HVCWExKeBFLRMSnnwsoQsyF8+w6UoajwxtIabCmWNOikDvkqOJTn3qd9WrB8xcnTCZjhsHx/PljhtAVPnbOyBh2kYi4o7tkxlIwaSzL5YIkMzKDDwOLYWB9/YiTeMrJyQnZg9IJUZWDt1aAs9STyOs3p/zkw0v+m999wf/4r97knl7z4YMNq14TM1gt+eKnLW+/tcff+Z1TXlxksgvo1YYYEl3MhJjLSj0JLpcrkBahNFqV1eTeZI9L75AShAplimKm1Acj5osltdGMm0Nklly2S5apJ+b/H29/FrRbdt/nYc8a997v8I1n7OH0jMZAgBAHQBRFibIm25TixKWUnIoyVSJVXJVc6C5VTq6SKjtVjuJcuDLYoZ3IFUuKLNmSKYqiKIEMSZAAATTQ6Pl0n/l88/eOe1pjLtYL6SopuqTiueouoA9w+nvfvdf6/3+/51FkItV0gqRiu17z0dMPuV48L5QlAkSFbWa8ePs1zk6fsry+RFiBEoK6asiJUpSsK0IsK3FrFEMMbMYiF9PSoOsGoaYY69lux2LozQpJxFqBjyMhUhTvAmSI3Lt1xKbtyLbm4Ejz2dmKG3aP1976Ip8+e8Ritebs4poxl8tKQSIJjJEYVbTx1XRG3GR8ylyvrxAxUklNygqRSpFPS4kbcxESxURtBPVkDyUqtt0FKZYycXQdKsHGJT50z8lolDCMLvDZo+e0Q4eQCWMqgo9IoLZ2Z3KN1FWDFoJt73jxxZt8/ad/nL/5t/8h2bnCzfYRqTXkuFvDFra0tho3DGzFBSk7elFe3CqUopQxBqoJ3q/xyeGDJEMhUuCY1lOsrNHaIoInGoXuItH3LNpLDpRATzXbdiTLhDIN9d4edtgy9CM/eHzFB8+Wu2J5QiSBoSZogzUSvzrjsl+V3GnIBJnwfUff9+zNp9y9/RL/s//x/xIhBf/XX/xrtN2WYXAoVQYHs6ZiCB1X2wVSCRozQ+kKP4xIPCjDODg8miQCKWf2jo/onp9y3bXkWApxMSeiKO+bmOFGbZHVHu3lGcn3jF3xdgghOb5xkxvTKQ+et/iYiFHQ1A1mvs8wlq2ayhIrBdVkynpYE30gixZlNVJW3LrxAo8ef1zeQdljTc3+7JhxeUYI4BNcXi0xlJK9k5rgR5TwxdxKJhORujDohVJoUTjoh0d3ubh8isiecduilaCeTonKc7bsUVPFt5+PnA2aSePpXeR6G1ise5bbzKodWK9bdKiJuuP4WPLgouWd0w05KRKOpq6Z2Iam1thqTjusGQeHCwltDAjJOx9+Uor0OSNVQkuJkpqUIy4U5wgY1ts1SmYms3JgySmjogCdGV2HDJKMLJtjAZlQ5kbCcPPwmLsvvsD3f/h9xjBgsLh+xcn97/OryzNirlhePeFie47VmnEMVHaOdz3GaELX7XpyFqsMLx/OefvWAc/XKz5cKF699xZf+OJP8+73f4/20/dQWSCNJWbJ2AYqNqyXgRw8SRhiCrRDh/cZqSwiSsYhQ0xkArVuiDkihWO97VEamrqi2wY2m1UBcsjy5yUIpDJIpRApEsfASlwRUynCCiUgZTo3oKXAZ4eZVuBKokDIstUOu8+ttBbnItENRDzDUJ4xUiWiL1QZEuV8YC3aGPql4+Zsyv/0T3yVk2XPg+t3aa/W6Cyos2KMiegj136NR5KTRFsQIhGSKgS7lBhCQgtZkhACAok7Veb++TkxeaxU6MYSc8cnDz/AM2K0xY09wuzOgCEihaZuphjTMA5XSGlRMtIOkAaoqgmu60k7r0wkU6mC1dyuztFEgu+IonS2iJEoBFmWVMbVxTV/45f+EeutQ2gIKZGDQ0nDiMGvx2J8zaVTCIkYHKTA0G3RJKKS+AhaKIyRVFisrVn6FlxEpoTT5WIxbFaMYaDWmjv7xzxdL7m4vMZ7jzKGy+srJKVTU08btpseUkKpGlVZujjiYvFNCC2oZ1PCImCV4kuv3OG9R09YbP8AD/HPrreEVJBcUpZ80Dgu0UKQsqX3Hi0U3odSdqwMGIsUGaUEo0tkH0tJIalSfhBhJ9VQBZeIZ5otKmZCHpFZ43zi3Y8/Jn4YcJScfcyOcUx0csbzVeSDJwueXHR8+OlT1uvA4EZMVVFPG8IwEl3BE8ZgCptz7Mq0M7uyRdihovoxILRk3a6p6gmemufnSx4+ug8KCJKAo+sSf/yL+3z9xVf4P/3mD7jqM8FDM6tgvo9LHc7HkpPb/fkfnj3m/PyC4AcqHbl1cMTrL9/kA/eci1VbTG0yo43BSsNr997iYnmC1InHz59zrQVBRlRtiEMq2mLTgIiIFHDeUzUTki/ZtSwyWWeyg9fvHnLZC7p2TWUV23GgoSIpxWJ7xXbYMvQD870Ze5OGbrjAqMJ7bnuHVBU5lEwZMREFBR+KLMZcEq2r+LnXv8Dz61PEc1HiF1XDdhwLIzsX/m0mMY6u5N1DRJAgK2xtcMGhlMWnWKa8MtMPicfPPiwXihzwsRgzhSg37OfPn5JjKpKo4Ik5EkJAinIIkqp4BXKSxMQOjxp5erXir/2D30Exw+SGMfVk4Pn5Fe1myaZvCQmULtKOYQgoIQlbxzCZc3ra8U/cM3KMLHrF/+VvPOUXfv6Af+NfPaRrM4lMXcH9p2v+z3/jkvOloW8HkoSxXdD2Hh8EUiq2m5GmaQhiwHcdk8aiNbx09wVev3nMry8vcX1AGRBKYa1gPj+gbT19v0TtzUjjgM8Rmxvm9R6bcUGIjiEHNJmPPvkuwpTtjVICFxyuXXL+7FPG5KjrimHoQAqSUWWqGB2qsoVWo8CPIykIVCVIQpF8JGiHFBW9c4Q0QFuoICGBoJRMpRIorcgJbt084M/8xD0+eHDCdx5cs/AjL9x8AaEtY8xl8kQq6EupOL55zGZ9yejKZFDbCcd7R+wfHvPB+n1qCz778rKZTOiHVOQoWmG1omsdWWYqI4smvG8ht+XQmiVQiExIgcoFjRclO4FNYugHtFElv5gzUlKMx6LcLaTSZVIpI0bXfOe9D/jw04dcXl/suPWGEAKjizufgkDEwGTvFjH0uBgJwlHrKRbNz/3U6zx8vuCDz54SfGJSNWhrCS6QEAURqDVQ7KRH8wnVbMrq8hznRnKlS0ok9ty8dcD7D653pegRN47sTSWynrPZdMg+IuoKbW2R9hgL2qBTubQ/vX6MloqqkYRRFRShNsTYE1Nkvdry3Xd/QF3XkDyZ0luJPhNzYH54QLfcEIJDKo3KCthZdrNHxlzsjGFAIaiN4NHTxyhtkFmXmEMsuEmkRqEQKrIYBnLfo8hsVtcIBTEJYhoJ15dcLa85mB0h9MDgR6wIxG7LvJkTpGZSzbm6ekLfb0BIhLIIFam1QcnMm3deYL1aEXPPMHh8DMy1JFuN+9H01Xu8LFloctlaFnlaWe3nDNNmysHsgMVyRRgGkhg5P39SDM2y9EYKitfgo+TdD5f8/E9/gX/4Wx0xw+vzJUJV+CioK80wBC6vFwy9w9SCxfWGL7w243e+e45IguN9yedeuslLL+6z2QQ+eHjOagRbWeqqZnABNw5oBVEZDqqK675FGcHRwQHnF0uUCORUUfp/CS1LGdC7kUoKRpELEtYFrNYYrRmdR6Yi60u7fH3dSIJPrNbbHWq6opkc0I8tve+5+PSHVKYi5wGRIXpBXde8fPMtnp9+RrVX0a0XhL6gXCdW80feustf+ZOf5/1nV/zity/4wo//DFJUrDeXQIRcsKIuJbKKoCesHYyrFiElY/AE5xnGkSgNZEduW5KKhabW9WitGAPlu54jfd+CUkghIYUyPQeMgYmtGHMGFH3v/1mhXJqqlIdziVRNJseMvi+fHVEGLHoXD6psVSAb/RaBIomM1AoD7FeG674gqWMWZEpsFKnp/ci+mbEZHf/B3/8WRwd7HB3t88mzM7QxZClAgtIS5xIHR4dcn51hbE3MAcVAjIK+3ZJ3RF+rNDF6+r7ns8DO+gqm0ZAyja3o2p1jp97D+ZGQBFmUP8fUWCYqcbq9pmoqJlqy3nSkLNi0F4hWYnZb0rTrbSlRqDOzSYWKslB2ciroV1lEvTWQvCdXhsWq9MKsMfhtj5FmJ3iMhbCDgRQYh1DgDLL0ZKIvZ0BpK6q6htTjZYkMD9uOyaTCqxGhwIfEYtvye+99SFPXbP3Ih5tHxAy1NCWmHD2mUmy3jiwS1+kKlTVJQpQjX7xzzNmF59lyIGSFyJLF2SWIhLGWDx4+pR2Gf+ED/H+jQ3yx2wWMqqiaGbaq6arSZq7qfcbtCmWndJvLQjzJRXQQsmccwShFEIHaGtIOeZgSlPOCKlKQEYY4ILSmMjUvH7+Iz5Kzy0eFiuMhEjmYNYScGceR9z57xmazQWTFxfqaYShWNys0bh3xoS+8cFuoBaPrMUCI5e+bZHnrSKOF5tNWcDUMaFUyqd/4p38TY6ZstmdYIziY7XO2XjK4kX/60XN+8GjBus9Yodi/dROBwiRJu4ll/WgVh/WESsDJ2ROIhWktleQL927yk5+7y3bRsfWe9XWHsWZX7vUs1guMmnBx9QQXR86GgDWKmBKNVCSZqZopYTPgYmTW1FirGSnT3YSDlEkZztcdzfSAYVsIM1aXA7ZUhtG3hW7yI8SgjejKFm61ENw+voUWisV2iQul6BpyRghNSBkRM94lhHT817/9j9GhGPxMYzk6vEujLYvrk11+XiEDBO+JqZSMK12BhkRxCYScqZqK0PdIW6YwKZYvYaCUELXQ3Lp1k9XqmvV6WwoxShFjJHqB1IVoQIrUzZT1tsO5gKl0yavtLHEyVHz1K1/go8dPWLQdw7BEKmg36/L7JajmFXeOb9Gutmx9Qu4uH/22Y3Z8zDh6Yu9pF4n/8G9HDvevMDkysYmTtcPlim4TS+E3gCdz86jherNFxpGsJH3fIVIg4DFCsdk4lJRcXFwydFv2m5rVOOKHnqqxbNc9mSVVlcneIPKGTbsii8hyuyzkDgoey0hFiI4QA0ZKJJJxKNIRa2t6P5JzwAePlgJlLWMoF1AhJeSISIlZMyE3U643a5KPZFXQX6SRmAe0nuAZGLo1RllsXdO6HqUNKUZEjuQMut7nH33vKZfLJSF5KjXlJ77wddqh4ze+/WtFNmUVBwdzFpfXVChGITHzCcN2ZDMuMfoA0/fcOn4RFyIX26dkItvtgDI1OYPzmeAcMcJ0WlPbhq7tCKEnBYmdznBiYDqZkkZPFhHXJ5KuEG4k5FQy5ICRVTGdkoqELGeU0iiR6L2nQlHpCpcD/dixWK/AjwhtMVUpOBmjyHhkykU+5TYIo7CzhtT2CKnZuo53P3nG4EasNTjnGYZrciw2SalMIUiEgJIKpSv2D/dJGdZDiTzIXEqWi1XHajuyd+MWauhxi3K57zaLgm/TGWt/dDBWOD8iVGbTb9FKEWNXBGJkhq5sRKSExlg8Gq0sdlLxy7/8t8hCMHaXBSBgKpLIxLDLEZOLhE0LQpJA2XrmkAlxRIiMTQEnEl0sG9rc92ij2N+bslxtELlM0yszYxiWOOeIwWGMwhhNTKKgMwugiCATF5sr9poj9lTFalviGjduHfH89CHD0BJz2G1iArVVjDGyGtfcOTqkXZ9T1zPatmMYOqSsaJenO1RecSUoqTCVhRgRMVPVFVUzZ7U8JwOTuuGVoxfRRtH3gdYHcnTkGJhOp6y2G2ZVTV1NuVquUTnzmz+I/Lf/9MCqPeNk0zBMPqb3W/ZmxwhlGDrH9WKDF57tMHA86bl3+wb/j8cr/nt/9mV+4Y/f4/7jFfcfL7j5SsWf+/mvcLXy/Id/4yMutgEZCjr3zo07nFxfE7TE5gaZXKHSyEiImZmtSqHfVoQ4EmJG12IXbZoQkkeLhJLQj6FEykrSnFIgyqQouN5ec7k8w8eIrZtScCXzxs0DTs4GnraXEMtWyvuOvYMbtOMC73uGZYeVha4WYqSyNa/c3kcZiEFwszmiXzq+/f5vcHryhLBDQ7oQEFkQAtya3eZqfU7XbxjGHlHVyF3GXMdA1oLeC2oKBEEoRYyJmHORjUmFNAY/tOioUbr85zmD1Yq5EbTbnTtBQhYSrTSkEXKksg0uetpug9Ka0I2IqkYoDSlQmar0gmIpOMt6gu+W5MFTV5YvvHKLj04cZ9fPyTkTdpcUSQYl2MSW7D2n4yG12uN773+nPFtCIeZNmoptu0IKweLiAqNqUhSAJROZNA0x9ITssZVhPplytVgifMIrV8rjjWZmDSmWK0TKDqstvl0WvK5QWG0QZNo0kOWM/YMajcBacJsSYda6kOKUqRjclrpuGPseJSS2OUZJT0iF2mOkLEPXLNBCFa6/yIztwK7pSsxlaEkuF0ylFORcoku6IqSx0JFyIcu0MWAqUy7NIbLxI42pmE6nBDeUeJEShJA5PrpDzJmx3/DWy/d4+Pw5IQ44H4utWxQxafDlsyCFJPmE1InprtCtk0BkTUIyqffRlWGxOKdWkhwdmxDwKf3BHuKVrYGWGAL9sEaSCMMABhoj6WLPOG4KPlIYetcjSGhtaGZz3LBGImiaCZvtwJ27rxOd4+riE7zvyTs8X0LQNIe88ernOD15RJCJvaYh+cDSdYQsaNtSYNRGsN5e89i3tGNifnCISx05RVwa0VkUoZOpaZRgPToqNFEmQojklKmnmf/hT75FBv53v/E+CVlU2l1H166YTebEMbIdByp+xFkWRKlZAF5EVNOwWLe4oaUS8OW3v8T9Tz+jH1as3TWZTCAzsXvUpmLeSKazGV98+UVOlwPvn63JoiMniaLEVIZxQ0zF9BpTRGtdVkA68cbBMWfthsWysMMh8/XPvcaf+okv8//8B7/Bo8USoSwHsynrdmQMivF6sTPHeqKLCFqGLiB0jVLQVHMCjs1mg6Q8pEq+3VHZmhhiEdZow/F0j824RTf7+GGgaWpWi0uk2U28c0BjkD5Q1Xs4LiC7Ih4JaXdATGglCX5EIMukTZf/f6XZnslRUlmFzxGxOzROpxO2mxWXlxd4F5DKInXBS5YZyS7mpSRZaUIsK+N62uCGYqqMMTHEERMFv/f97zBmxbZrMSKwcZHGVLx89yWGR5+yWi7JISCipI0eM2qOj27SpysuL84xUoFWpOTolltWW4nRNcN2JGvHwbzmxtFtnpw/w6VM264JQ0uSElM1WCEZcsnux5gQO0KBQLDdbllsluzVe0yMBrPH6MoLddhuSHlE5Ey7vEJmICciotCG+o66VvhUiEQaRYqlQFrbhpwdBaAksJMZFdAOXYkFJEEUGVIkuczWew72jkhuV9DzDlPXBFf81jmM6OiRgGkMzju6PmBMjdQ1aImNa5KUnJw/x0hbkIBZIJLgt3/vG4zB01Q1PmwQKA4mR4wzR2UC9+7u48fAtbRs2xE3DHRijcya/emMy+sECZJMxLHFSkNKuqDBbCkhaWNIUiClAZUYxg0ITV3tUduBL33+Lb79gw9YjT2J0gtAGFDFStkogzDFOOyC5/VXPs+z54/IokWgCxEnFJyuURltygO8qqdo6ZhWluvFFVlCAHRw/PzXf5YPP7vPs24gxg6dMk/ONlir0cpgZMA7V0yOSWGrkpFPY5GYmXrO9Xrk8vI5MUWkzChp6QfH3nSGFBkjalz2ZFHK3PPmCCFXdG5TiowKrKnJPhFSoDIl052FQqSMzwIXSk48hXJRGFwgdSucK+XP4DxGWiYTyzi6wmDOFHuwiAyjpxaGg4Pb9NuO1l+WGKUukpgogaSQSRDDSFVXiKTotmN5ZqDo2o5cZ6Ir+XwhFS5GXMogDFJIJkbSh1JWTkGz3VyU7YUErTzPHn9AlAYlQCqLkRUpj4XeIgz1VLFsO7798UdEMjmX1fgbr7zO2cUJ23ZNSkX+kxJ4B0Zpwq63VGmFshYtFEMYeXBxRqVg067RZCQatCpeAG2KSdWVTHTKnvPVwN/61fv8d/7MK/zH/9Upjx98zMXJBUd7+9RVRUiaxWbN+dUp2p/wb/+lN/j7//gBf/HPvsaN/Sm/+F+seOfTh5wvNmgjMeJT/vQfvsP/5q98hX/vF3/I+ULiBHz0+DOiSKhcfOA5JmLumM8biIYxFjSq0paqqrgxnbBXWa68pNt0rLYLbNOQUgQZMRRiFjninaSuLZlUBie6xNv8uEHnMqYf3Ia7xwdchpHJZE6/aokE6kozP7rBanGGG3vsZIJ3njF41s7zn//m+/zuBw/og+HJ2tF+dJ+2XxBkJqdE2EU+BZnKRMZhTT9uGUMkK0nul7y4t8/9rlCwEhJsKavbalrIZ12HqRTkYg12o8dIvYMujCWmpy19jGxXm52wSyCtQkqN80P5bEtV4nZQJu+mRiExQuJjQAhBRHMwr/nCK2/xw0/us+iumZmKZjrhsuv4zsNTUgxIFcheUAuNkBADVCozkmlsw9V6SV0btKlIzqONoB8Li16ohGTX0xCZW0fH9Nslk715QUZnTUXpnqimYjJIQgClKiaV4Iuv3eLH7u7xzY+vOV06tgwM3hFSKrFpPLdvvcR6uWEY18QcqSZ7xTfCQKUEIWVqqVH1nJdffp37n77HsN2USK6cMfRbtmHAGINRlnHowQi0sngXS4fI1jRmwhgdXQhF5pQkzaRBS0kYBw6qKUlIhuCIO6BAIKFy2WhOqpqvfOXzvPP+x6hgIRQajigdbrSC/cNjpFKsr6+Krfz6mq0r71kpNM3EMIaIaSoOqwkXqwsgIFKx3I++R+mK75+u6LstIQt8DOgMQib2D27iXIdfr5BCFhjKH9QhvqrmZDVhuTrhcDLhz/3s19iue/7Ju9+lXS2o1YQ2rkkxoYRH6dLIDS6B2CDlrszjy0Tr/OwhWugyYTKWLEW5sQWPGEeWJydcXp2Rc2TaVNw8vMGy31JaMw6RNaMvBJJNDLz66pdwbmB9dY2SghgABZky3XG53LQLezigqnJa6sbI//3bn2IqwyZltIIQMqN3RJGo7AGEFqET19uBTAClSFKybkckguh6JIboHaPSfPbwMSF6sjSMyRdVtG1ouy3d0GFlw3c+esrgPdFEagVbKQjZ47wv/PXk6boNMXmaSU30CekiWMNn2zVt1yO1QpqMSpJVO/LBwxO0njKxW+Zzy7YbCd6TRCzt9BjJgJKWIXiyElib8f3Ijduvcr44QylIYUAZhRs9635FlNBUiipXDGNkuVkRcsD7BaPrGHqNFJppNceHkaPmmFW34NNH72PrBrJD5PJlEUqVElGmTExKW46DoyMO92/y7ORD+nbEiExKmrbtgMKHlyqx3S7Ly4NcaAUYUhJlWmcakBFd7zN2V6Sc2XZd6V/43YMzRsiCmARt36OMwseMFIKDvducry4JYuD08gRTa4QXOA/dsMYIUHWFtRIhJV3XMjECyYwxuJKXzprEiFOSnBT9KLi7V2GSLiY+kYhRIwSMbkAZWVwiiFLoSglp5Y53n5js1oMv3HmBl1+4y/0nJzx6dkZlKqSsePHOGzx6fp/otniRiCmTQ4uWieObh7Rbx3qzxYeAlgZTzXDDQKUlPjh8CLjOc+fOS/gY2I4DxliULAeULAvNZLVc431byn0qI31AxkgWESkNt28fEGLm+roUrJOK+NgxaSpSlCR0eSZQY2zFOLYczm/Qdhu2w7qwi1VCKEnTTHn27AHIiLAVf/4rr6KS4G986yGbNtL2I4PrmU2mnJ+fEXNACs2kmRDywNh7jNIgCjd56LZsVkus3cd7R04evcMTLpeXVMZwdr4ljBETYETjhadppuAdKbpd5EMitSIieHzxjG23RhMQIjB6SVPvocnoSY1JgXU/ctTsE6tAv74mxUxMCaUNtmr45METTi8vISdShCw1UjhiCmgzpWrmYEdyDIiYCqVFSwgaYQQ5lQpvZQ3t4BEikVOkqQ0vv/AmPm55dn6yuxwqpIrIusKtIySBMJpx3JaDR4ZIpqlnGKVYb9uCXTOKVMldIVMzjoVuITJF1OQ9IYGUtkzCQigre6PwAFlijWY+3ccNHdPZlK67ApFL58IohEhoU+H8SGUbRCxHHySgi5I+pUD04w4TZ4mx9C+smSFz0deHFJG6JoQRO7WIkAhjpNaKFEaciBxUezjv6UK/ex6U/L6SrsS5XKCpLPdu3mBvNuPjx895dvGMvuuZTKfEoacbepSuCQHq2kKGiVX8oS+8xa9/e01MobCv/cCq71FCE4UiS0HTzHBjSwqO/fmMnHN5DlcN7bbjl37znKm2/NW/+AK/+Pee8PByy/llIRntNQ3ny1O+8FLFv/WvvcE//uYTppVhOtH8b3/x+2RZM3RbhDSM/Ygj8au/c05M8Jf/4hv8u/+392kHmNRTtGloN1fUkwl936JT5s/+3I+z2A5847feJ3qPjxssgrPtioXTDC4TvcPjiUNESYkWGSIoUTC5tYlFhJZzESUaTUqR6AJDCszqPd6//xhpJK+//UW+/MUv8w/+4X/NdDbnp778Br/+29/DRcdBM+VgPmfbd1gj6fqR5y6z6BJffP0LnDz8XolzUJ6d0+YAkUMR2AnJ0G/57OwzklIkXzwSX3vtiF/46bf5P/6938WHms511DETRUbrEgGVRhfBjtTUkxnuelWKu6lQ55CSSCixmWyIvkMouPfC2yRpOD/7jHEYIHqikcgs0LYh7PDWPmaqeo/ke2IMTCaHfPWLX+Li4pLF8yU3b73IT79xi2+99yHPlhtu397jcy+8xW986yNG31NVU8iJEIvpeETQ+ZH15iFCV7gUS9RWCJTKRDLGKqS2uN6zXF2WC0qsmE/3WfhLhjGgpODq4py7B3OG6Nj0ASUrXjqc8OOvH/POJ6d06wUy6yKajC2zqiZnyc9++Y+RZ0f8yi//Z/TDiu6iY/CBWpVLx2R/wk++/jbvfvqYT+7/kHHsMBNNDIKXXnyNq6vnHB7fRUvD4vyCbttitWFSTwkqsmlDcaeEsRTIY8ALjUqJvu8LzUiCamqmumK4ukRTcKuoBhd7amGpJvus2oGQSk7eAxOl6HoHQuCFYLHaImgxVpKz5ny9ZaINmcww9Ez2j+mvrwhjZJu2gMC7hJIabXYXtKRK9j/JXTxng3EVTa1p+5a+68rqhj/gSXzXLorNav8uIox8+PEjRt/h+57p4avcPLrNh5/+HtJFPvfiS5ysFlxvV7tCRi5N/AjeF1FQiJtyyo4ZrTS960EaJODywNX6bJfnirS+Z3v6hLxrvUdhislQam4c32GzXpITLJcXICIugxClkGmkAmUZhhVVPWN2fMx2dc7gPM55sgx8uDLsH06YH9zi+vIEokLYRC1rzi8eI1XJmSIjGk3MGdeN5B2fW+zu9VpochKs2w3zpir8VzulkZk/95Ov8o33HvDoYsPZKqN7x+lyWX4AuhT2UJnOl4PRarNA6zIBHwZRVm8M5RCAQJoymXZDgAAnl0vuPzvFEzk6mPLf+ld+in/wjXfox4gQu49LNrgQMQbcUMo1fe8RQXBx8RwfBg7mtxkG6IcNk2rKreMXefXFF+lSz4f3PyC6lpABBDH5sj7PCS3h7u2X6bcL/swf+hrvPX/I77z3A1IonQRpLPFHrNk4lol4UhhrMWhE0kUUoWpC2CC1LlQjyiFR6VIycy6WA4QUaG3wIZEpn6HWjWiZUaFFUz5rMQQQmcZM8SkhlSyHeqCxFm0Fi3Vpuq/6dTHCBTjQmZ/96S/x69/6mM3QlstNFLS94+mzJ4WmoSTLIWH8GpKEBrRLfOHVe9x//hhLTee2PDx9QD2vQUq8N8SQkWJnxk2Cpi5TOZkl2lSMoazdq7oiOEc9sXz1C2/xEz/+OvxW5upqifclkx0ozHyfSylZSYFPES01q6uB0TlyVBglqOqa2d4Nlv6clIuVU6hiFD4/eUbMsdBqEjg3kLUqRVpRSEbRa2JyCKUZXYn8VJUkCsHz3VaiqSpCLOa9yd6Ubtv+s0lVFqWA6TcdKSX6bgNE6r0pyQPOo3Rmub1mb75HJWtmtmbfWFrvkT6jtWIIguAjYhh2NCPDfP+Att+UrVVl8N7R2AaXHTkHrLEIHFVtGMa4K7oWglPrAj/4+MNCZwKQAiskY7/B6KJszxLm0zltu0XFhFtcYzRoNFkqkCUScHTnFYZ+YLU4IaTI9dUJQhqmtcU6jY8gk2D0nrP1NSJnfuylIx5cbti4iNK6dD/GDfXeEZIZyQfmU8uq7Rk7B6pMu/vuknYTyFntuiVgTIXzA0+efUJIvpQsY4kYOu+4Xp+hKolKDXuTPRbxGh8CPke0VvTjli4VxnYgImP55xG2mD+lLJGiHZqzbiryGJE243xiMqmp7IRtt0UqQ5YSTeb24T6PTi9oly0TWzPGUIyiolAahmFEW4GuaoiRbmgRCSbVhK4fUEqjrcGYCZPplLPTU1LwBLElZgHKUpkpjTX4CMO2sPzFrv+hdYVKgaQ0Y78lpYCxlkkz4cZ8D1Ubnj89ARIyS17Yv83LL73I89Nr1u0GcnFWJAo2NcuCLR3dSAqObbul75YomYqpMkU8ESEl870Zm1XHC0cvIkzFSkBKI0M/IJRgHALVULZFIPjP/+EDnp+3/Pf/tbcYQ+DTR0uW68Bs6vnCq2+SReY/+Xuf8P79Lf/+X/0qf+0/+wihJjTWIIJD15ahLVQMHwX/4Ncf83N/6BYv3a55cCZoqhn1dMJqc856u8QqTWUMHz+8RClKoToHhDDcvfs6T558TPAjIcuCPy67p0L3MZCMIrgBkkbZSPBpd3kDNwzFbSIFKTq6sCTnzEQbtJB85zvfp+9HunHgn/7Wtxj7HqtqcoCnZ+cECbU1mARJRDZ+4Hc+/D0GHwppx9TEMNJ2ixJx0sVKq6QgZUUai1dEisS7T1ecLN5BqFscH92hO32XcXToqmScSWG3pak4ODjm6GBGv1oRUmav2aPzA50rufQUPft7t4ltMZ6enJ+QRYEx/Kgg/KND3Dh2yCwRUhEJBN9z+84dTs+ec3r1nF/53W9xvlkgjeJ6veHDy5ohGg5mdzgwlv29GdKAyrYMPXPx5yAVPrki59IWH0cQUNdzhPP0oUcIkC4wDgmrwPmOlBXTiWHoOlJSKGF45cVX8ePI2fIEITMkQe8zv/fgjE9Otjy5dvSxPF/GUBDeZI0LgXcePuTH3j4Godif3wAy236BD+Uyt133fOfj+3TdgMjl33HZUmQurs7LkMQFrjbXjG2PMBqFZGYr9m7NefgkMvRbnAjF1GsUtbL4nVtHxUyIkWU/EMdlMTVLhUowrxvGsSOLwNBteP/DaxIerSpc8ixWS6wpPy8iiJxp9qb8xM/8Eb77nd/BXXY7sZXEWEOUGXLGas166DA5cO94ztl6pG5mzIxkHCKHs0MuLs9IcUQrg0yQoiLLgn21tiF0m38JR/j/Bof4l2++wqOTTxj6NTE6fu/TK6SQKBLXFw/p1uc0yiCnlnrSIDc/0nFnNtsBpUsbGlthQllXu5BAC0Y/7hTUpdxpoiBbVfjnWYAfQOliqxSFoOEyGKnRdo6Qa548/WHJKgpNzgmfIpVUhQqRRlQuTPPkPCFkjGjI0oEuv9fl5cWuLKnAFBa7IyErQw6eICU5CKQtuCO3y6VOmwldHEkpU1U1ox+omylCVwUn5AcO9vfRKO4cH3Cy7Hnr3iuELLn/5DG1yYzbgjiazmpqo3A+UDWGsLPdZWJhqopA8okkNPW0wQ+BnItq/XrTk1TJVY95xq/+5kecXm148eYhzy6v8RGMgBw9691kYm+yTwJCv8WqQO8C3bhG61LojCkgcuC1e0e8+eZrLNfXfLx5gECQCBxOamKUbMOA95EHTz6m1obT6y1XV0tCCBQqO4V4Q9F7KwTjWOIvRimikLTdBWkbSyknS1wQO88vICLe7RT0iGKSTeUQK4RAQYl+CEnKgjaOkAMZVcgdRJRsSAqCK+vOGBKi1rz2yk3aD8+YVlM2Y0fKiUorfEh88Nkpzjm888SUUVpCFoRYptohBHIqNKLKGGIoU9Enpxfcu3WHF+4e8N0ffsbV9YIDOynlN6WIqUfLKaZUAXGkgsdUEZcFVhsqFCTLmHpG53hwdor8WHB6cU3fD/SuRyrNk+ef0HUtpjaIJKnUhPneDUTo2HQbci5lQ6EV4zDiL06I3hENu3+fikk1LUXYDHEs+V5bT8g5FvGUEqA0ShX1OiTIJSqXYrH9JpkYekezb4g5cO/ObZwPdHlD0rJo2mdT+sUC70dUXcrOgUAcCis750SdSzF26Drq+Yy9/X1+9cM1zy+vWPvMpKrYPzjg9OyEwTmiL/Sr4xs3UZcl0+1D5PD4BlbNWSye4qOgMgV3VtuGs/U1YXSFw5xLeS+mjN6RIHISoBRGQYyB+XyKc57eR6Sx+NiXkndKRJmLh6GqSDFwcfq0CKhERuRIyAHlE0MqHPuCpCtT47QZkRoeL1pGlyFmsky4BNZalutFmaCnIqpJzkEMGKGQtSX3gZQk8/1D2u66oBJjQElDziO6tjRR0gvH6D1SCHLKdENHYyo22xXWFAa4lZlJrdiOI5CpKkFOhpQSVhlyDGhFwRDm8r1zKZE8pJyJ0WPJ3Lt9h6vVCtDEBLNakTysVmv8OOIJxZQbBWInhktJ00znWA3bdlM+l0JwPJ1xfPMGj56cli2nG+mHkU23RFuDHzIyaaqmou9HfGjBK0IqRWczqbFk+l5RT24Qxiuci2hdgwdiIvQdt169h9WWZw+fomsLaH7v0w9498l9xm5EGIkKEPxQegG6wuVYfo4uoFAs12t+650fUOR75RknpUBiEImC7psf4oIrlCVjCMHhfCn2BzI5S5rZFDdGfu17F3zrwy2vvzjl9Xt7zBrB84ue04Xlm987ZbEeefnmjETi4ZM1UUqM3WM6PeRob4+TeMLoHH03IITi/fvX/OxP3OHsn2wYhyVSuBJjzIFMxkfBu+/dB10iYYKIFJnTi6dIDSkrXN+hdBHp+BRLETKDzGoXh3dFRIhix3BhSAkjd0OAlBBA3dTEpHn/w4/KOyALopC4sRh657MJs9mU7myg1oYUAi4npC7DA0mmMTXzwztcra7KQVRrrKmI/2xiDkZGRBIkBUKUmMjpJqDVSLh6Wor6shzIiRUCwaw22GbGanXN1eUZlanRyvDm2z9D7za8//63USTC6FjGUl5PCIZhg60actZoY+m8K0KqVIZ8tm4gSgY/ImxidX2JiBEfIh99+j6IEidut9f88MMFWWSET1xdwydPnxBD+e4lZQi+nJ9SLHFhYyzzvTnr1RqpyvmnmmnG1tDYGl2mprixxVQGkuByWbpTr9+6y+V2y6bbkrNDqYaEJ+fA2CaejxtOQstoMmPIKEYspdc2poTLmU8ffJvHD9+h69ry/oadUFMRdpjlzbDBZgVKM6SAcBEhFG68ppKK69NTQvJMp/ukMaON4vBwztn1guQcWWgmE8Pd45s8O11QNzPGzTUkh1SCymp8jEhZBjGTSUWIkeC2vLR/wPOuZRgClTQYbQg5QE6lNBwz0ihiSFgN49jyw+98h9iN5Bx38ShDTJlhGBAaWteSQqCpJP/mj7/GX//tD1iPHWFITPUcSY2gOChiyASRqI2mcyMxZro47N6l/+K/ft+H+MuLExQCozRj6KilYr+Zc91vMEIQUslvGgsfPn1Mcg6rFP22K0SDlDDKEPuBQKISmpSgVgqfPVJmQiiRF6EVIQUOb95kuwy4bEg7rZxWAudiKaTlwOL8U5xPJfurJVYmKl0hlSJLj7GKnBISTdeuGQaQylDL8qVOOWAri+9zebBGj7Yl+tH3A8o0aFPjQwCVGF0pYwkpmdU1s0mNbxNZZOykJrWOvt0yyA0+epSpOb9e83e/9wkuFDzdtu93lBQYx1DiIFrywkt3efr4EVIa9vf36bZbXBL4kNGNxpMKozpFYpAIbVCRslrOBoBKa46bo5J3zaHgyHRFVpEQPDduvcRkdovHD98hxUgKiaQU192IUoLjvSnLdlvoGynTujW60hxOp8xMxURrQoSYI3/+zZc4qhr+o+9/UJTfKdK3jl9955uMYSg4x+TLwV1bCJSVt5GImHeXgYzS5QYs84+KIoWPLwqlC4HAagFoeu8wKRIEiCTLBFJBjHJ3aBJIAUqakpCPgcZqku9QOeFSREpBU2m2LvDho8uCFTMJ7UthKOVM23vqbHnt5k0+fP4EZWsUsZSz7ISu21JXalcOLmzivcpwdOMuXd/z4q1Djg/3qWpFVWvcdqAf/M5CaamEZfADOUcaLanquqD8iLgQyUbix1WJvfied374Ph998gzvh4JzUxktJGH0RSjkAkZp3nzlTVo3crlYo5SmtpoxBapqTtct2WsaRqWIRIbQM6mKyXEjFFUl8aPHDR4k5Oyp6gn705f5N37hL/Pbv/srfPLgt3HBlTKjL3zpLBPZlSjP9XZL3TRcLdfcnO7xwsER190KnzLr8zOUkqhKF6ty0pAzVd0gUmZMmaQtr944ZN317M9n3D+/RviAzxClpDGS44MXWW+2ON8jtGFa1ZyfPyMMjjD0SKXYrpZMJ+Bdj9WWN196mRdv30Uow6/97jdJWRRtuzZMpnPGfiBRuhikhLSqWHAF+CGisyCp0mMgRlJKOJd3B4QflZwStopEF8lk5rND1v2S6BXBlow1QmO0QcZETr589/oSUUk5IKIpUSmg60aMsfgMvRtojKYyFT4lRLI44dGVYbNdlriLFKSUqKd7RVjjHCpnUsrMJmWSHYQlB8etpua1o30ejJq8WJDFSBKJ5EWJ8zmPlFWJplTl9/3TP/Y6nZd88+MHpJRL3jlnKmMxZkJO8PD5OZPplJtHc1abljQG2hwZNx1KCJQwCKmJaiidjEyxcY8tMRSKUBgyo/csRU++XuFih7KGvdkevevJrpAoEBmJwI+lnB13G4eUEloqZBCYqsHpgaaquFyPNHVDkoIkEj6BQPLk/Ipx6PEyoZMgpxEX4m7D5VFeEVxC6NKrQ0VS9BgrSUFjjUEjCT5S1wZEJGUDu25LyJosIx89fIeprRlTJguBEIZGZ1Iq/goohw6UQUnNatPx2UnDo6uR9eaEvXqf27dKrAWZUTbT9YUOUWvN7YMD9uxtfvrtr/Mrv/f3+fT5Z1gl8QguliOvvjShH1qOJg2jy0iZaaZHjF3L6F15LguBoqA/KysZhkVheedy8ZCyDEqUqXF+xBpFcGMhmImMiBJrTekMhIhCkKUmxxLhSj7Q58Td269zfvEYIeH28S2eX12VfHAS7O/NqSpNSr6Iq4TEeYpzJUtC8BzuTVHGEkQsBLIU6cfyblZAdB5UiWyiJDEG7F5Dt93QpzM0BbQwsQYfCos9p9IZGLbrcgDMIH0iZ8+HH30HhIc8kqUoGwkJSqjSGdvZw7UBl1tspRCyWOInzQyjFVlKJs0+rb/GxR5TadphLKjJIEgZkoaZEBzO9hHNjEfPntAOI7WpCSIRhm3pcOz+t3JUOB/JSWGVweXE6DqcS0hpyErivCeHULa/MROSp65rwhh4fPaUejal60eSEMz3btB2W9odeVAIRVRh5/MwOJGJLpB1gURYIZnaGYPbbauTw9iKCEWKRCLkBL5sLEVVI/qOGDqs1choSKhC+kKwHjuqXKRUZ9eX9C7gcijc/9XIyXBKv7PQllhRMeAqbUqpWCiSKA4UP2aiMcQhYE3NMAyEnLl9eI+nJ5+gTPn5KKkgJrQSZCMJMbO6vERaWzwnCWSKkAKJDkHGR49VksODu/zO4yv6mIihRLMm8xo/lO9UJcTuLCbw5IJmJ9E0M8K2hMH+wA7xxkAfEsNOsiOV5rpvd6bS8gEWFAlJEiXML5QGbcoBDY1WxZh1Y3bAC42k70buLxagbBEmaMjRMcbCm92uNb0bkEKhrWGiJ7TbNbZKROUIDkRMaAMiW1LIzGc1X37pHs3sJt+//wkxtAwx0vthl8PWRV5UGUyjGcaMTolIYAhbSnd7xjgMaKmARN8PCEERGylVcoxScPPWEX/xT/1xfvP77/Ktd+8zdmtCSFS1QWZJFoVHGo2gD2K3dhccTfa4desW1/0PiIFd41ny+P5jQiyZWe8DLiQCctfe96SUiKFMVnPwhRgkDW53+UmxR0vF5fKSzXqDNpaLoYcQySRqW7F3uM+0nqOUZux7msbQTOYcHb7K2elnXC2XBCFIMQGJTTfyrXc+4HLZse5HXAyAIKXMdx+ecWNa716egugK2acd1yghQZRiU4gZrSp8LAjJkDxVY8vDIENOvjDchUQkX6Z6WhUObIacM6Kyu9WZ2r1IEtJkTJYkytRUY9i6gJRFEZ4oxtLDoyMmk4qHD55SaUOWO255jKQQ0Fpy3W3Ru02BthrvY+HkZs+YwWbBfHYHH0ZC2CIs5N0tHqnph45JNeNqeUXbj3z7B6tCdgiC2tZMm4rpoeTs4oLZ3s0dAadgxP7CV7/EUlp+7bsfsOrXmN0DMu+QIKZp8G6kba+QQjBpDBKNVBB9YDIxxCRJKbJaXHHdr9h2LVZYlEik4BhkEQ4dHR5wvVmz7dYICa0b6C8v0GL3wpOFJBCTIyaNkDXD2LO8bBnblhgcWkoOD48YnGezWtFoi1OJ1JeMj+sdgyhTpmpS430i+jIhbqbHSJVwi0sQviBeoyREjzGKGB0XfWbT9jgUm3aLkpJaqTLB6AMny+9C7Nmbznn9zl0eXS9ZLFuIvshSdpfxbb/A2glffe0uj56f8+j5M4QwCAwxFyvzXFsEuRROXSBmUSRquVg+nR/weWSIhcwlKD/zTC4s7ZjJKhBiidP5MSK0ZFI3TOspQgS2255a1YwpsDc5ZnbYcGglDx4/Y/CRiWU3/S9RmOActp5irWX/4BCXBJvrS6RSO/yqoutbKttwa37EYliSY8D5juA9iCm3XnqRs5MfMgwjIkeO9m6AzDw6vcaqioXr2T5z9EAu+TTGvsQeY0pYLVAqIURNHwb2JzUnyy1d74hRgrRMqob15pqf/Zk/ymJ1xUcffYT3A/VkxhhG3FgMyTFHBjdQ67rYY61FSIvSNUJ2/NSP/xhXyy0PT54xDgNJK5rqAO97+r5g2FKIbLctLiYqIcsUS5ecOd5TiYxTqpB3smBqDY7MdnSEMHJy+gAlZYmJ4fGhXFolhqELeDdgpSYjMLUuvO5YLLRZJ6qZQSTF3mRGN3SImEkhM5tN6EdHTiXSMIwj8Ufbq6TRKrNeX5fppFSsxg6jKqwQSDvBx55qNmUctkgEUghee+PHWG2WnDz9iK5rEf0WgS2IXGd5+7XP8d0P3mG1GTg62uOVl17m0aMnbDYbLn3Pk7MTrvtLoEABjIQXb085PV+WEqGy9G6LkpksA1l5KiEYosdQoY3Gq1LWzj6UAZYQVPWE4COkjE8dVVWAgdbWNPv7rLctru/phx6FQlUKnwImZWqlccaQU6YSlmfPP8XWM6S2PLw4RcRcNk4i8uzirJhmdbkgBCGwSoOMpZNmFFeLK2xdIohKlTiFMgqtSlHXGAUh0IWCsJYolt0SmTIIRcwCqyTTvSk5RRaLFbaq+cM/9XWur6748NMP8X4sMRZraLtLlJboqqByNWCkIWmQUTMxDevumqx+JOErrhMpBM73SGqODm8ghWV7fkUGRNqJ0FxCiYwbynv81o2KH3vpmGe55uHzp8WTkAO10dSqZjOMpcArgJyYTiuul1cIoUi5hHtFTujoSE7ywt1XuXl0zMcPPqFSmr7fMp/U9KZnuXQwDFQTw3a9pd1s2D884tbRTdabsk2XSiBS4osv7fN0FbmWmWFwCCGYmQkvvvAGDx9+jEilQB98KKK0uBNTilQiosqT1wNCamRWaHSxzIax/DNCoWMmy4yLgZPzC6wtZDArJE5kujBSAUpKxlhIQzGAiBFhVElZqIbKTMi5Y4wBlyIHsykyGxIGU1XFsKsplAEhSD5Rac24HTG64s0vfZ7LqzNWa4U1Df2wJvWC6f6UxWqFkBo7mXNwcJfvP3mfIWVEKumBbbss6HT1z3uIIWWc62mmNc4FlCrRuX8Zv37fh/g+FJ13GHukzozZ42JAxgTsogYi48ZAkrGsB32B+gsl0Tkxaw4ZCYxuZNSWIRXDqCIjpSAFQZIF7TR6Tzf2ZVpjivLWj57GNoQ04l1EJMVk74BttyDFTGNrXjg+4GtvvcJvfviYdhz40ssvs9xs+Oj0GVoJ9icVxpRpQs6Jvdkxdw/2uNpcstluianogocQ2Gs0RsN1CmQhCd6XVUxM5Jh4fn7J3/zlb7DuO5x3aKXLlMk5pNbIVCZBOmeaakLbLRjCyEePP+Xx+TNSDPTtgDESIRNHt26zuF7xwtEhL7/2Et9/7wOGdckUiiBQQu+IAROGfoOVqpRuVJl4pyQYvGA2VSQjGaJDiIyPZXXkheDJw/uk9JBKSEYtcMkgRsnR/JDzs9LsFkKXUpLSpDTy4aefcr5c0/UjPidqpUk+c3+z4UrbgsoTmi6lgl1zRX1sVFVKpNHj/YDWEoVFCYWyZUKosylZeW3JWZScdWORQhO1LAUhN5boEIVVK7QiDSPZi4IBy5F/9aff5NUXb/K3f+M9zrYto3MIrSAJBpfxuSWJMvnPiULpialcOnPZSHiRi5jMRcjQDQW7V2lLYy3GGDbbS5zvS/lJKZTc0RCqhstuoGkSSWquNwNh7Kh1TZCauZHEdovIicZUdLkQAe68cJOv/Imfp6pu8MHJFVefLjFWgos0swPk2HLn4B6CwINnn6KkoOt7pK7QqmZST/A+kCg89NPFOWZ2iMotWsMYSuQquzU5C56ePy8TUZXJIRNTMd4KCRFBVoqQPVVtYBDkscfpwN/9lb9GCH2ZdAnJYrFGKM3+fI+QEowB1C5epC0+JFIl2Zsd4LoeosBayWxvwna94ebePp976xXuP37MxWXLfD7jhRemPH56xXK1xRjDtlsTyQQ/krIhp5Kl9DkicsIaxU988Q7PfnvFzE4YfI9Piiz0jqZS8G+LbqQPGZ8TwXWkbKitwlQ1oxvRwoB35WEoSonS6KpsyIQutKRUZEcxFgGZlsWMKaQsk/57d+hjZNPB9eKaxWpJ1245PnqB2lqWmxaJIPgBreeYSUXMJdtfzkhltQuy5CVzpJnM2ZvtcXJ1hjZlkiez5/N3b7AdJC/ductvff8HRDw5lpx6RtFuz6iuR+7OZjweBmQWXHdj4chnScgeSIwpMIbA3uyIt998g48+/ZA+RW4c3ybHjrbv0AamNKQYeffpOZLiaEhiLAdskXj/g3dwoy950rpmu90iRCRmye3DG1wsL8lGo6RA7ShTKXmMgSxrfvDRJxBlAQoMI7NmHzPbI28HPAPTah/vekY3UFUTrKp2F7bIGEa0TCglSUOgMZYkFE44UpbMJlM2YYRdT0oLSUiSyiRG58o6vvLIqIChDAwSyLQTmjUljpfJ1MayN9tnGDsmM8nN6T6/8DNv8879E771wWNyjpADyipstc/tm5/j7OwTpNow9B5ZaURfBhZJyvI5U5LZbIoRkq5dMnjF8vqKxfIaqwzaVsTUkWJg2Y64sWXVtoiU2baR5WrLvGkR2jKdTLh+fsEbX/w68qrh7Ol9ohbUE8NPfOEG/8Fffw+jLUprfuqVl3nlxSN++be+S+8z0Shk0ggivd9imoYUHBlfJEdaklHcuHmT1eqCwQmyKJ2f23f2+fzbn+ed775HEi3ZaibSkDIEFREyoYxBA8F5XPJorWnqCdO9I06frwrPW4HPgs6Nu6gf5R0EmGqOUuWwJWPm+NZrfO6NL3Ny/iknJ58SBk9wgZAD2hpy9lgpaarSm7pxfMz6esUQSydMpETOkbs3j9muR/px5Hh+xKOHz7lanNN3HUZrbhwecL3dMq1Lhjpnw8HeIYvlNV/+wk9w/9HHLNprUhgxtS64YARKaogBkQJCWWLKLLo1fdsjYiInQZID8+k+PmZGX4RyZHi+Hrn++CFeWvTOuaOE4Ge++uOcXVxy/9EjfCrDLSkUwZUYUmUrnI9oVQapIUVqkRn6DTFOyCHRDh0/+9WfQqTE9z/9gCSLjX276XYWdQGhp3X97r2SIWu80Hx0WqAFfR+oVIPQidZtWJx8Rk5jwUFSSqY5RJpJw2Q2p12vUEJQVYW5roQgZokXkFxBbJbPF4TkmFQVe7Zm245458vEXYTyMxNgm5p+TMU5ZCqqusKNfUGZWknoRwaVyJQI952jA372y6/y69/7hKut4+nJR/gw4NuEsXUp5adMpcsmQxrD2LVkNDkr4jDQiBplE9frBTYpXErEMPLDT7+LS//cdmyjpHNdIWRFga1qKmUJ0SORxJh2nX23o+n9AR7iO7flcP8IF0d8cFhlQUCIrpRHhSRFT9IGRAIEWksyJcNOliy7aySCbUy0bTHEkSXIH00dMwcHd9mOW8I20BhNHBJ1KlPCKMDjdxN/TUSV1bTQoDIxOj47veb/vfkeZ9sVOUmu+xEfEvPJHut+zbrr0Qh+9pVbRBTvXnuMmePCCYmyQViv17z0wgvsWzAm025GxlRwQFpKjPpRpCXw5OICYyu0MUQfuDHfYzVsGGMk5UgMvmAivd+9PDMux1JASgqlBFI3GJ2LWppENZnSjREXEkbIkqs1NT6MVNYWbfOoGNNAU9VkV3J9SkiUlPTel8x4zNRW0+wdMLZLIFOljDINIkb6OFJVFhdafH/CbCJot5mM303SLQlFpTXn5yfFD1Brallx78Yeiy5wtH/I5XpFlKFIQUIhVkCZDJdysSFmT0KyPztCZs/g10SZIGVKzFpi6prD6RFD6ErpMSa8C5iqQpVsDC4GknPEmDg4vsv+wU0un36CS4l7x1P2as3TRZFyZF/EOIvtovy1VGVlmYoYRFoNyqBVjaeFTIl7KFOiX1rgux4pBN1mzdXymkpLcpZURuFFKRU2lWV/NmO8vCaGyLzZo6pnXFwHmonFpcymH8gUDNvp6QOQGgGcX25457On3DxI+Gw4mBwz+g5ELAY5W3F2/gwvJCkVRnWli5QjW1FK17u8bkoRmTPd+op6WiOToUBbi1zGx4CxGpUNm82qrItJxcKo6yIOy0VxnkPEVjVxHCF4pK6pTdkICCFJaaDve0CTogQBU1uhBIScaeoKnyJnp89pbMOsziy3a85OHyNQiGafz55cst6OZTIqEidXW5ScoGyA6AkIoksorfA5l5yxksjg0bZicvgCf+f/814RKUnIeETSqJx49ZUvMbYLzs6e8nS5wrmeJAtaLoYetKbKhfPdbsbd6j6VKACGfnBIoZjND2g31yhRrJwkg7aFxtRIi4uu9GFqS9u13D2+hRWai+UzUtYgK1SO+LAg5uJwaJ8MXDUNk4M5aeXZtiUCZGThyVstSbIQYB49eYRQgpxLHvNoqrl3NOHdJx2R8iLTtcENIynmItXKnhcPGt588SbL9ZY2+jIV1gIVusKmzuVlP60qgnecnZ4jc0IS2GwW5JSRMrKna37h8y/z8fWCH55esx0CWircMBCEpDaWdtsR44hPlE6Rjwipqa3kj37tbd79UPLhwzOaySHTqeZkN2k1SSNQrPqOey+9gjs/RctM71r8upTTBxeIuUOrEqeLMbId1qVpI8okKwlNbGpmwvP6vZfYeMGz88cwlOeuFCCtKVs2VTGOidH15LQzP8dEVqlgNXPEe4/WVflZ1orL8zP6oUOIxOOzp+SQqYXi5u0jXrhxQEqSDx8uWXarAnHIgso4+u6yPKuICKBv+3IgzgndGMYhIrMg9DDRppRuc2boFhwf7dOuI6+/fo/rqwUnpydoIcgic726QCvDZuz427/6gL/0r7/Gv/cf/5CrNqK05MlnHyB15sVXX+Hi/Bl/4U++wOPznodXpQR/UFs+d+dVZjNfemfJobDl+SSLvdWHHoUEoVFWIJIiJsfl8oLJZFKoVmOL0YZuMfDZR/dZry+ZThpULmZpFyJaW2pb0Xc91pbDqPNl+LdZX7DurpARRgKVrZHRQabEGES5PpEKs742Na7vGONAcD3L6xNOTp/QjgNG1Bwc7rFdX7G/p1ltE513KF2oV9t+gdISlSNGa6pqhqwaFtsOlSTz2T5vvn6Pb37rXYa4JSeB95n1tsf7hJepRKrkwGJzTYqB04sTsgscTY8YcyImR6MsSYIUFmTGTBsSolDnMCidGV0um+as6Pu2fGdSYjbZx1jNoutwUZL6lpQTMYMm8733PqDvPLuqGU1dMRAJ0YFUNNN9wnKFpMjaMgIfEsurS9rNmozlxv4h73z0ET50RASHhwd0/UhtLIQRM5kQXNhx08vP3O8Mq3uzPWIWLLp1ARz4hBCSq+0alwO6rsDpYgbWtsRxtxuiSAU/nWHfNkiZWRKxtiHpiB96TGUY+mIE7seMER6rJUJaRu8IOSJUkedt+wGhNNPplKF3BXMs6t1gp8ReO9cjU8Jog4iBWgh0EGgETuykoTFz9/arbPsO7zraYWAIjiFEhk9bbFPvCr4jtVCYRtK1EaEtSopCrJKKrHbJACmwE03sMzEGjDFUk4pZM2fs16xWA+QyzBjG4UeNv3/hXyLn31+6vqqnTJsp224DomCqQnSFGS01KRXhzt5kSj+2jKPH1DXOe0RMSCGpjWFIgRJSyaUkmDJVVcxaPngms9uMqaVbL6mERErJvRszLoaAHxOVPSTHkaaZcLk8JRPKQ0HJYqJ0gRwztqlQWeEqSYUgDK4wV60ku8hXbhwQheGH52uUVlS14OUbhyxXK56vOyptgYIK8x6yksRxwGrNbG+OcxJTS2qrWS7XRGJBDO6a0SJT1r0pkSnTVzuZs1itUSpiRKLSU1bDCq3rkjv0mRQDTT2FuuLGjbusT5+yHVtSzgiZCb6QNgrXVOGTp7ITXHRk70v+ShTVt0Lx8p09Lq89Y+5wPlFrSQ4SpSW988SYOdzfQ0ZBO64BwRh8yaqbCiNLNr5pplhZ0W6v2JvW7O1XPD4t011UIgsNPjGpJiy3KyCXz0iO3Ny7wbpd4YNjMrlJjAPdsEKqsq4OMVI3tmS2PDjf48eBympiCuzvHbDdbrl59BIXywuc25SCs7YYZck4qiRoKsVqgMH3SGXKilUq6ukEPw6FoFDEmwgkpirTIIZAG3uMVQQPB/MjGtuwaRdoLeiHARciY4hURlFVDSGMKGOpTDEW1lLSzKe4lDioKs5Pr9ibNfwrf/gPcf/RM77/8AlS7DCTuXCIx9HR1JaqqckRJBXbzuPTitpWyDylPmxYLU9QsWRQpYyAYDLd5wtvfZ3ZzPLBR+9wevEIKTIia6IQTGczCJkUOkIEawzROZACkWA99uSksVoTCCUupkpMqmBIdZlES4mWES0ahMrkCIMfqaYNIURiGFDaEocepSS5INu5dXzMC/de4Yfvvcebr71Cu2p5fP4EbWoO53fphwU+jnzx7T/Ek4ePWPRXCCr2Do4I7Zptv0JZi8ySOPbklHEkFCVbLs2U27dfY7N5Ro6yfDeyp2s9N+bHeAFDv2CSYeOKVMsog4+pIACJNNoio8Ilh6w0OcHtW8ekpNluF4zDSMqKGANKWkbXoQAhi+xI6kzAwSipZlOic9y58TJbd812u+C1V36MR0+fMHRbUBEpFQWJLqhUQ60FXd/Se09OGa0MtjLk6MlSk0IgeFcuHrEUQo1QHM2nBFXcBsGLEi8j4sYBW1dUolx2KhSrvqeaTkkxI0UsEbKcGMdS/tubVoBm0wdmkwY/9GV7k8p/77XDOf/+v/lz/NIPH/N33n1MF8fSAcgRmeDte2+w6Fsuri649+oXubo6ZbE8o9aGHCM39mcMPjO4ntoeMj/e49GjT0s2nlwK0nVF9GWPkIngI01dkTC8cHibRbvgcnOJ1oacBCIXSZOxihiLBEtIxaSeY3LATizr7YJtl5hXJQ7W1KWE2XaFWtONA8Ya0BpNuQwPfkBlRcoJozR3DuYECT/zxh26YeC3PznF1g3L1ZLkHHvzKfNG0dQNl5vEYrNCpSKb8bEnpcD84GWi2zKO290ULmK0KfjN6MlClGdYgixGyLpkmaUkhZG7d2/h+oHtpsPlyM3j2yyvzkqGW0Q0mf/un3qVr7y9z9/65XMeX62R6oCv/fSf4PTpO3z1jZE3X5rxv//F77NNDX4cUTEVgy6JwWWETuSQ8CmjjCSlhJCSaTUpWwORcH4nKQuZo6Mjhu0aN4YiYwq+XPxlLNhTKUonQVfonEhClEOVVEU258KuFO/RYtdNURIpKozNqBTpxpFM6a+lmHnx6CUqa3l6/gBZSSpR4AObvmU6mRLKdIaDyZSbNw959PSKhMeFcfedkvgYmVWa6WSGYkZUgtX2AkJ5Ltp6zthuCyZVZ964/TrYmvsPPsDLQIqK23fucHF5yUGjGELenVmOEGiq7DhZnHEwvcl26MnCIXMuW3wUIkWEiFjTlE1zcvhuQGqBndgiUBwCUUhG3yNTLNhLDT54QKCkBZEJITCpa5ACdGbsBipTk3PCBc+kmhVoQIwYZSEGlFIcTo84uT4nibG8P7VGZEV0AXTizu2XCM5zsSjSsgKayHTDhkbb0v2QUw4Pj1ksnhB8wPtYbOC5xCa1sihdnlVDGkkpMa+nxJj5ma++hcueb//wAVlYKiXYbpZICVIIktTlWRcUzbTmT/7sT/DN9z/k8qw4NmQs55Ju6Jnt3SCMG5wfQVQcHu3hxy3DUG45OSdqFOjMrLasW0dMEZShygIfJVFp9ESxN5tz9uwZRpf+z+H+BFPNkfURm8unDJsNWUpyDuQs0KZmDA4AIxPCSFIs78uUgVQ24HVTo7OmG3tSKoLRFIv0bwyBkML/33P37+d4/vuexNtK04+7F7WArm9RMqOkRgiJViAqza2jWzx8/gRrNBKJFQGhS1mglGc0UorCa84ZXVlSkkiVmU32acc1IfRMJ5o4lkz0o4sNB8e3OJwd8WM/9sf43W//V5xfPyMJuSPKlPyt0DWTRtOO/U5TLMlDwBOxumLjHcZnZIInq5aNBExEqoz0ivV2xXIcEbG0iUv2MiEqAUkyP7iBFYG3X/sKXYg8evYJV9crhBA0dYXTCRUSzXTK9XKNiIlm2iCzwDtP2y6prWDwiZzAJ1/iNz6SUpleTA9u4JwjDx0Xz58SsgOKmCNEgZQKISrQCZ9LoaOq5lRSsNxe7Eo9kejLB+tiOTCMA6ZuEHmD85BEQkRVHpjRMkZPcCNZ7djN1hLcQHKean/Gl+99kfce3GfbdxhrWQ0DSzeQYjngWyRf+txbTAy899mTUrAJIyImJnbC+fIUhEQLSRaOtl8hVCJH8L4UXV0aqYWhnhr8YovdoUn3Zjf40ts/yfff/12Wi+dUBpxXWFmiNkoakpS47NlsA1U1pVZzUi4yLy0zFYKYIpXRICQx5KKZT5LsHNpoJpQDHimyWm1o7ZZJXdMPY9HIx0ylLJVVZSKtRfkyK8u670DXZD2Ch8eLJTIK1oPjfLvBh0QjK5wb0WiqelIMfv6SGGG9bnd0hw1KSoy0SGFxyeEvt6U0OflRH0ISfEbJmoPpbQ6OJ2j7PjkXucikmaOMZugGju8es7ou0o2X9gyVnfB0MbBuexQCVRmO5lPWfVfiRC4U6oqU5JiRIhCDQGjN3TuvsFdnHj9/ihe6PPRlyQE3zYzN6Ik58va9mzw5WXG1XNH3H+Cd59HTk5IVz4qJnfP2az/O1WKJmexxefmUtz/3x3j/k9+mHS5ZXp4yNRofA8llxO4wW6Mx9RRhYOwdwQ88e/IRVa3xY6BuGoy13D2e48ZECmPJRjdzIh1dHnGx8ICLhRaS1swOjhgWJxAjCsp0VFv29vZZxnNCyjSTgzLt6Uv8iuwQjAWhJhSzWcMwduSceXL+kJQ9IksePLiPS54kAhqNG3ukUEih2ZtH+phwMSJI1FozxsCYBCIFVI7/zFpYW01QufyMNVx3HSGDERKBJ8bddtBasg9E4O3X71JpxQ8fnjJ2A3XV4GLixnxO27UlEigV2yEitQDhGYadkZKCI00uctF7/p1f+iZdl+iHnmwEUA5pxlgeX52RM8zMhD/81a/x/Q/fYdNd7yghcLpoySQqqVn5K0ZK4d353cXRKJIvBIgxBiTw0s09/vArR3z3pGfZLgk57aaVGak0Qhciis+ZSX2EIaJ0wNaW1WrNSGBw5ee57TdYXZOkpu8cB4e32W7OqSYVRkhcCghqRJIlSjd2EIsL4WRZDM7vP1X81Gu3OT6cs/UZN/Zoa9l2LctNZlL3BBIiU+ggohRrs5RMJvucb4oLQCpFCpGDvTm9h836ighoHQsST9SFmBR7pKqx2nLy7BQQTCc1fes4v3qO1prgy7MaJH/n1x4j3R3+1/+j13i2HunGmrc+N6W7usk3vv2Af/c//YDVFoyFPGYchSxjlCGKDkMp4c4qDUJjTcO6X9APfdnu6dLBiTmhjWDTLRFKgQEfHEpQIokxY1T5viarCm1uZ9MNLmGtRRlbkK9a4qJAKU2QRZZDGtk3x9y7fcg7n35KSCVCIWTi2dVDdGVIJGZY3nrhLu8/eIxQGucd1haW2Ww+5/x6hW1mHB7e4PzqM4a+R6uKnBOHsz2+8tYXeXD6mE+enjL6FpEU0irm1SE3Zkc8P3uCNprZ9JCj6ZQnVmOlYDt4rq8vsdqwGXqykAg9oevWHDZT3OhK0mBYFwiHkNRVzWK9pq4ESUClFUcH+3hZ4fotCzfiZSa0XRmGUIIMIgSUMcgfHeKUojbTYhpOkaYyxN3mywoYkITsSqwuJPrUoawk54TOicODA643HVfDNaaqCbH03sboSv9NFOzsdtvjcjmAxhCplCnl/VwuX8XzMtK3S4KLkCQxJSphSITSUxMSaTJDNxBV2QR7V6SOp1tNjorbxy/z9NkDMqmU+kPGC6gbzd5sn9Vyic6SJ4+e4XpfcJ0ktNaYuqGZTMhyjndbjNIoYwjtwGR+CGKLGwIpO7auJB5EzKAqpPQcz2asVj0woAWkzrAaHLWRhZqnNVebnkM5wwrHduhL2oMESlBrwxhLT0EJjdZTtIEh9GRfABMHh4dM6gmrzYqJne4wtYlG1wwpk23pU/3L+PX7nsTPZ3sFp6UFSQiULNizqpozDB05J1LKSKlhJ+OxSnO0t8+66xCpWDIFAmktBwd3uL48RWmY2AYFXK2XuzVyRJtCrkjZQ9bM6gmqmpDRtNsrQhxR2hTrmCglgpDhhaNjrrabwhjPpW3vXVmrhRywKZKk4GhScdE7pNhtZXft+xQkIXZMmgMCAu87Uorsz45ou47Z/IC//Jf+KtPmkP/o//V/4OnpR+RAUURLy927LzA7mPHZJ5/QD+Xh4lxZFeaYaBpD6wMxlgKWFImUFaIyKOeZTGZsxh6ZEy4FcsjFupYkRmukVAxDj7aarDK1rvjaj/9pLpdrfnD/m1RKoaMghLISUyaTvQCp8XFAK1sKmSGVS7wUZAHRlyBo6coU7nVG0NiGt198mwcnDxjGgVt3X2S5uaAfi1lTIjiwc/4X/9Zf4HJ1zX/6D3+V1WqD0AkjaxDgxxZtLUboUuoykX7wbAeHNpK8+3J27UhTVxwfHnO5WOCz4/bRIX/266/yxdcis0nF6DyfPFrxK7/1jAenA8pOyNGTQmA2m/Dqvdd4+vQ5y+0VOQrUTCF8Lgd2JRhGX8QMyjKf1OzNK7781ht88NlnPDy9JHlf1spCcONwn/VyjRKGaDMyZUzV8JNf/SN8991v065WzKbHmOmEi7MnoBK1MkX9TsGBmokmR4EpAc+djVUz9iNIyeHBAavrM8YUygWNSAiK27dexjvHZnNFrSSrocPU0yIqQ2Kqmnm1jzKWi6tnCBmYNxVHh7c4ubwmjCNJwt6k4WfuHfA/+KNfpE2OX/z19/nug0sEBfW111RsNhusrhhDIGaP0RVSGLwfyKHEWfb3D4utcxhwlAlEiqFUc5LAVGWbNKkKVSMBjSnUhpAkSpbHTIwRrSfcufMVjm68xGeffgOjJJvFFQiPT0VOMnjHUbPHph8RRjNp9hHGMGwuSTEwuAGjq4LQzHDz5g3u3Tzg537yLf7J737E47NLtmNHo2t8ygzJ44cRoxqETEid8XGHpA3lkOhjR4qF3z+fz9mu1gitmM8qhj7SDT1CJKQwxOBB5t2lWpF8KYDlXDZvAgo2UwoCpWMRU4kqGDMHHMokhLCkcQApGf24ixHkQjWQGoVGS40g0w0jIUWMLqUxJRJm1/uQKhe0ZRI0yvBv//mfYbPt+OvfeIdKNay70mVKIiNlyXvnrJApM99vaDeu/KxyISSlsKN+hIwxpdArhESqHf3JKLpxhFiMg7Ww3LrzIs9PnxBVQabGGBFZkGMstllhyc4zhGL61VpT2Ql3b93m7OqiTMITNDpxMKt5fr1mDKWIaLUq0QoippKIWN5Dx3svEBJ0wxUIxdAPBakafXknSc3+3i02w4IcoRIC50aSVmQfSSqhUEzMjJh9od8kdhNyhVSZr7/1JuvtigerLbWqWG5GhNLE7qpcprRG6oKIDDGgtKWgtj0xqV2Ey2PtFCUh7DaFP0JUSmOoKwPO4bwjpGIWTjuSltzhKhOZF+7exVjNg4dPkBGUShxUDf/zP/Z5vvb6DX7pg49573rLmAJPTntOFmN53rGTGJEJEpQoG4ycAlW1TyUzL9094P37D0hJ4cO4o8oFRC4Iv9F7hBZYO0HFXMrxWqBVBSnhY5H6aSXRqiD5msriR1eefULhvGN0A0ZrFAY7aVAilWGOlLuCsGTbbZAiEwJkkchSolJCCMNkNuWNOy9yenHG1eYaU9dlCBEjWpmCzowRZTQuxvLMlBBcRlnLzYN9jILz1Qa/Q8o2VU3XbZlOawSCSlX0ycPYk9RucJAzB4c3MKqm31xz+6UXOD15Tm0NMheaVde3aFMx+EIbKpb0QCMUSlTYaQ1IXr33JR49f8xq8ZhMKGQfKXYbs4LzzTni/EBGIqVmb34DIRPr5WXpl2hJyAKrLMH1OyEV5WIoJTFl5lWFFAUbvG5HYgJrKoZhQz2pyTFjkmKMIzEHQt6dDRQ0xqKELLHSMZUOkIDgI5WpUEozm8y4Xl2j5T9Hxt48vsNiWOHaEiWuVPn++hxKEdkYbDVlvbjcXdAFlVB89a03+eTklMGPjC7sDqiao/mMaT3ns9MHCCMgK4wRGFMzbDeIbFBVgVGEGDDaMvqR2pSzl1CKw3pKl6CxMJ9MeHRxiqkUIkEMony+8o+M5ANIQ2MbhBQFWesT9aT8TMIYC3La1lg8nd9RZmTBSTbW8OLNG9y+dYOrsyVn2y2da4kF64dPvvhcXNhFlf5///qXOol/+eXP8+DheyirSS6QIkg0IQT2D/YhBtbdQIqRykqIkEVkExzNfJ/NeknKJTtbCgqFG+7GkZkS7O03XG1K6N9ajZC2cFyDQFXQ9h2v7N9ASEUt9jlbXpDciNYWdJmuVlpxtVkjC5EcoRQ5g7aWJCT4jK3Kw3Hp4u72n8raXpvCrk+Oqqk5unGXqbScXz6jjzAMjiwSq+Ulv/Xb3+D1Vz+H1ZLKlstBSokUB05Pn2AXDWMcUVqhlSWkgAsDKQtiV/oEhWVcDj/Glgx260auVwustcToqStZNgq1tXg+AAEAAElEQVSCwoPVNaMvKKTgPFLDtJ7x4NHHtNsVU6O5s2d58/iId5+e8PyqcKRTlsSdCCkHD1pR11NIgpwHEgmUKrIqXTTUUsaS5XMjHz56n5ASs0nFT93d577sePfRusQ3bGYzdvz1X/3HhBBKdtSAiJKQB2SuEHJSXkQ68+W7U772wgF/991nOARj36OswKdCORhGz8XlFVJpXjow/K/+J6/y6LTlv/y1E55cRvbnhq++OePf+Stf5e/82iP+0TcvCppMGgYfePjoMW3bAhKpM7hMVWna1iOjQBmFzIrKKN6+d5s3Xr7Fv/7HvsZ33r/JX/+l3+BiuSwM3hC5uL5CIklS44fI/vyAl269wGK5IkUFwGZYclBJrCotee9ceSBoibIF2VjiDoLJdErnB4bturDJQ+b8+grhy9S1qiykyKSCYbsliBGtFWPy1FVht6focW6kGza07RqlRDFTksk50nZPy3qTHfZVZw4mx7z91hFSa77xw8e8++ictutBStbbgdn0kE1bMshWlVIYGhgjTTMhZVhursnBo0xDGAOCjFQCJRTCGIILmEqz7UdSAqxgTAmtBbUMmHqKEbDcrBndlovz73J++j3IGUexCotcuiZuLAXptSsxGqMaXnzl85yf3iftOjFKakQOJAHz+Q2MnPH/5e3PYi5b8/s87HnHtdaevrHmqjOfHtnN7iZbIqmBpEjJFA1YgC0bthAkgW+SwEAA3wQOECC5zZWRi1zEgJE4zuAwDiWHkMSIIik1px7Z3ae7T5+x6tRc9U17XNM75uLd3b4zGpCg7+qcQhXqq/3tvda7/v/f73meXy5RIvGZN2/yfL1FhJ5N3zNdLGh8xjaKPkRyDMwrTY4Z5/cT+OSQSXEyPyKKSAhjkW2lQLtL5ByQqiAVY3AooTFK0Y9DEa+pTJFXFkMpIsOYCXvBmGksznmMLCQlpCWMI8YksjDYqmDmYvIYVbYfImSQI57Eoj6kDx5LZHQlz64oBmKbJWFPAFAy42TkX/7oEzZ9oHOJLu9QSpNywLlSoDVGkEIiZMlu2/PqzTc5u3zGqmvRVemO+JCwWqMEVJWhbVtSNmVyF4t1OYaMkeBE4OmLpwRf7LlkwaSui+xNZnwWSJn3MY5ywPduQElBS6CpBFpWVNqwGzuerR1VNQHt8EFxcnDK5foCW2vG4NBa4XrPcnOJEJYYQcgSx9GqogAVCrmr75almpo8A+WGXWKOghwSiUTSkbvXbnPRtqy35wjiT0VR3/nofnFdKE3rLstBKzaYaoJKGRd6jLDEnAvBJYALPVpqUvQlay8EMY4FQxczEleQibLcg7L3eCRBKqTUiBSLDTWVAYcwZZo4to7dpiOmVEyjxmCM4uZBxafuHvL7P5jy/Q+esXMOFwJCG3QWeCLRjWSREMZABNOUzWTXrbh+9wZnF2tCTtjKIk1NFgmZdQFUqIwWplzzfc/OeXIuWXmlJC4lrK6LwC4nknf4nEmhPITkceRwcYR3DmtMKRorhfceVRnu3LhDio6nL56ShaY2im4YUVrS2JpNP5KzRkjJMO748ScfgCiUPGskt+dTHm5aXE6o6IkIhnFkUTVoo5lbTTCSTgheXl1Q1xY3Fpqai6H0obSgG3sqQNQVMXnG6DFBlLiN0ezaJUY1hBS4uLogpcSNxYKH5xcMsWzUgyukfIwljIUHHirBkEa6doAITx59wI1br7Nr14ThikjEJMFBM8XHglWMKZW0AWAkhLDGjwXbKZC43hNFxlQSmYoY82A+Z+V3paipNBNdSF1tW6RQ88MjtqsLKjsh+oDMgi52oCUKQxx7TK2Z6Bk732GlxPUjZMnh4QF2VnPx/KyANLLAxYCuDCjN2G4QSnF+foE0ghvH19m2W1wKJGlQWaKqEsVb7S6YNAbvImN2SG04PWx474UlyeJl8YDIA4iGw3kFT0sRtZrWjF1PYyChGHLE+UKWi6QilJKZ2bRmTY/C0KURHzMEzfb8Eplz2TLvy7HHJzdpl1cMoWTZnQ84N0LyxaieJF0bSi9L76WA2XP71bfY7QYuLz9hGAttr6oqHp9f8uTFJW/duc1s2rBrt/jgKZwkRYqxxOv+NXzJn/U3np89QyrJ2DtSFMyaKUoUysdutWOz6cipCCLIAp8ywhQD4GZ7QQyOSmuUknjnuDx/ibECYRRXfceDsyXohmvXbuB9ZBi7ku2WkhwL0/dit+Lhy6c8u7xiMj8BqQrOzUywxqK1QUlwJIYQqGfTsgoUmvniiHnT8CtvnPAffeU1Xr1xSjOpC2s2lydht7evNo1mtXzK0xf32Yw9R8eHRAoT1yfH13/wL/ndf/p/LazqPhHTWHK6SO7dOOHa9UMWsxnzacXbr90hi71hMmdCTLgIOmtSToRcTGLr9bbEOUQmOEcOkXHwDL4U5xAlPxtDR95PYKa2JsTM86uP6PySWilePz3gH/z127x2bYZUcr8eD1RNQTGiJTlEcvS40BFjBGI5PHlPDAUXmiiSFimLSXA+mTKkzMOLc3rnEEQqWfjYaM37n3zMgyeP8CEhs6WpZswOr3M8P2XeTHExMHSFFrIbO3xhbBFzwo0RKSu+8tVf5+D4BlIpXr0143/zP/95/uHXHvOf/z8+5ps/WvHkYuDFesrv/VnP//b/+H3+3q/d5Td/+RSlJMGP+HGgH3dkWYqrJEVOinEsq+wo8p7lKxAycuvmlH/w936Jt+4c8MbdWzS2FFa00Sitiwkyi7I2U5pJVfPG629y784r3Lx5p9BuvGO3WqKUwGpLXVdobTg8uk7WmtnsgOsH1whk1usr3G6ALMgUTrhMrpRshSS4juO64Yuv3SXmjjT2aCLWGup6wqQq+URNmWJaY9G2IolyEceXYq7RqhTolELJho+uBv67P32f3/nDH/HDZ0u6Me9b+QKQKKGRMfGpu3f5/FtvkrLGtQGpDV/8+V/i3/rb/x4nh9eQWhFzYe42pqLRNYv5EYJUugVZoM2cyWRWkLMylfXipGHrepK13Lx2QmMkWjr6YYeniIiqZsbRtVvUTVNWykKTssAaS3Y9Lx79iFqVQ6CLnpgdaNDKMJku6MLIkCu+8zDQXP8ib3/qi1h7wKw54Nb0BmSLCxFFppkIfu6zb1JbS4ypuAtERmlRjHo6l5uLC0hR89abfxWrJsiYMSIhTEYaiGQmlUWpwgPPWKracnx0jeAy9WTGYnGC0g3el2jAyeEp8/mcmBNeFDoXUqLkjDduv41SkvlkytHBHaRRTI1lCqS4xsqSV540U64t7kDIKDQHN29jdI1WU8YQSTQ8bwUXbSwHiBwgB1LMpFxuHDFKcjGvERO8uHyMB47nM0QUKFEVdbsA70d88DSTCU1zREwR7x0xRLSpSErjgS6MuBzLAUZGjILkE0pZVBR7s+sEjEZPDLaqUGpG13nabqTvI6vNmq7rUCJzfHiNFKE20HYbDrVAOoeVpkTKhMGHkRhbsvSMcWBaN2SKNVUby1uvfxqrKwwSI/UehZxJoeBIZWWoJjXNYkHnEkPoQMHx4ojrR3dYzE7pUkDVUzR5z6eHnCOjH1GmCAlzSqXYH0sm39pJif5IRV1NOJgfk1Pi9PodqnqC3NvHrTTFYp0SznkIoIXG6grd1NjJlJQpDPPguVhfsVyvkVkyn87IQrEcBv7ROw/53/233+CfvfcJgZ/4NyQTbUkpIInYylBVDVpashAMPtCPPTevn/C3fvPfYjI/JnrBtGrQUhBcmayHGMsUMXtyDISxHP6UUigt8LHQZhRy39fKSG1QaFQGbdnTpnqmkykxFeRx2h9GP//2W/xn/+l/wi/9ta+irCL4iN8L14RQdKPHaMtsdoAVhhw1Uk24cXKL41nDrcWkSKWUoBESJSRNLZlVRYx0PKn5rbff5pc/8wpalRy/dxES5YFcR4a8K99PSmQhMbOKGGE6m+BSQtsGaxpIisH3oCLr9Q4X4dnFdt+Jc0ghOZ1I/qOvvs7UlG5KSRQkoizSQoRk059xcfEI7zsQoLXh9GTG3/9bn2Mxt8Tg8c5jc5G9GW3o+9JBTCkDZbugpaQfuiJQ0iXeZKTCyPJwXTcWWyvmlUHmxNC1JASj6xEIGjst711Zok4ojRKSwXuOJqfMqgX2p+8HwdgNgKCqjjg5uYeymsPDO1RmVjaSUoExhBAZO4fMkeQHlPR85vU7/NZf/xXeunuPSlUYOUdUNbXQRGlYcZPr09ukvng4ZA5oIXixXPPjhw/QtmIIkmEEnwJRK0RVkStBcbBnbKXIeQSZudrsyr1VBQKB09MDrFAFGiEMbihyMonCuY5+2EHwxAzzxQwkuFgGaEaVrkfIEaVL4iRmRVMfYKQmRIG1hkpr2m2PTJLFZM6jl2fIPkCShfpn9qZ2U5VI2r+Gr595Et92l1hZYeuaYdiwa9fYScOBrdnseoSt0G4kRE+XElIqQl/U7soWDnQSIHWZSjR2xmwyw+/OUXVDTg6XApv1FXmveo8xI5SgmUwZusR6dYltKnLKEDK2mhKT2/PhbzC4He2mxWpNSpHl5RlKVSV6MDvCjx2HjcbKiqrSHE5GrtKOmGvGsciOUkhsW1esYQpMM+Xl2UO0kRglsVoDA93Q0Q9LcvRUVUNMkddeuct//Fu/yhAD/80//zMeP33BR/cfklTRoistsPWUvhvJ2SOlwqRQ2M9KISI006ZIqHyPJCF1sdkpIsoKDDV1rTk0miEEogzkUMgj2UcerRy/861npOYYa1Z4Hzk8PMG5jmvXrtGOkc35Q1Iq2wMpBX4s+DUJ+HEsWcmQOT44wo0RYS2Rsgp6vOxwaSALCt7N1IRhKDKKMBTzbnJ0yVHJwGYcsQiEBB8F33zwlHceW3oXiHujqqKIFIypmDQT3Ljm3/1b1/jTbz/nz76z3LNqK2ZG0i5f4rLmxuIuP3gn8/d/7RW+8f1LLpxAyrqQZySE4AvBKESQktpoqsmEq92GmD1S1mx3gednS965eMSPP7lkNwZSKhNxKQPRlQKRzAli5Gr1gn/x9X+G1Q0xJmRZhNINDlNnai3RGEJ0OKeJYzGCbrLbHx6KY0BIhfeO2eQAHwM+tIVBLCXbGHnv5TkheFIsN2OZEk44dv0OouDGyTXOlhcFvRZKDjUakCmhs8TloRQbjSEJeP/5JS92Pbl3LLuxsLFdj9GKFAZGB4vG8JXX30KZzIePnpOqskYcnGPsRkbny81NWWJIZAlRS1o/UNkF2ihwEqlq+v4SkwWQiQg2mw4tI91mzVtv3WXoHetuh60kSUaUrdh128KXFqJQKqQiR4eXhb4g+jWbnSCkEZlB27pcFGPi2YtPqIzlxultPv/Fv8Jv/ebf52t/+kc8fPiUMfT0fqQfe0IcyCkTo+Lb3/kIH38SxRMYNKaq2XZlOjz6QG1rRHYM4Qo7rehix+AzRkmMKez6e4sJ711uEKLZWxTLzV1pS+d6cijccKs0WpcV9NOXT/DeY7VmN7YIDLDjpXOonBg9uPUldyc1f/fzd5EG/uLBOT98tirCnODoYw9VTfAdlxfPSUEym0xIqkJ4z/PnT/GDRxkNUqONISVBoFyjrTQ/xewJA0PMHM1rbCp0q+hGpIB7t97gYnXGrl2Ts8NUkum0YnCByhQrYlVP2G62+yFOwcTJWhMQBKHwgysRFwUhD1glqZTCpcCNw1NcgObaXZ6cf8Iw+EIwCQPPXjwhAd3g0DJyMJ0yRsGYi21UGUV0Q7lm7A/B02ZB261QsqFqGj5+/DFSQSKSQ4YYiZIiu/EJtY8dxDTSZUfXbkBE+mFgMjllUk8Yxi1uHHFjVyIgRtKPjqrWxBz2EkLL9WunLFdrBJpMef2yNKQ0MrgAKTCul8joMaYia0UIA/P5jJATQzcQYkZoCCETxoCpDD5ltHdIkcsmSsrS95hMuFhe4Un8yYOXiADCWAbnEUKRybgwgigxTKEi3mVevfcWT55/VKhOGa6urvgnv//Pubw8R+jMenOJ3E9OYxixlSYEiLFs1rQ1qFREOypLyBHiiFCmbJ3TWB4UUkJEvaeQSapKMvQt107u4GNgt7kiJsH5tuOTZ8+Z2prj4wMuLq+IWSJyVdab+wK0TB6hwGSFQeDajps3jvn3f+EGDy+3/NN3zrjadIwxc32xIBNZrzterj3/+L1PEDaw2o3ElJBEYhTUdYOWEsFeKmQ0xMj68gVJKPoxo+qCP/7C27/I1eUznp7fL9swKQvTPAdAIaVCk+mz4VufPMPQkMKAUBKhJTpkZouDEkNLIxerp0QfMVYTg8f1ge998ByiQktNtpm6aRjHgZATxhiyNPixHPC10kghQQE5Y2qBFpkUQAuBbTTXa8Nbp4dsXcuPXmRe9AGiQ+RMypLOO6ZNTW0rztsNSElyCW0lzjnqukJKTciOrt9Q1OLgwpaXF+vyGQjrIpyUGRFgdnjEOFboZkYeIw1wOJvzq7/8eb782TeAxP1Hz0nC0ZgpOzcg08h3vv/nRR6oJCKXDaA0itAPpbeQQeSR4AIkzWqzLcQtNFIkYiw+HaVM2fDGiDGSSdPQj46Uoa5qPv3KXT58+pjRGyDj+o5t6otsLwUyxRLsxw4lJT4mkkhIKUuh1TmskaTk+fH732I6OcHahkljGIZAGEfqqubw8IAHL3bM60NuTaacL58Qh8wQHFKWn9m/0UN8bWaUsGAoFxGZaYxh7HpiGMm+cDC1rhBpxEVfWOnAOASQRTlMLgeZ3u0YXV9UtL1DKQnRMZkvOF7UnK9bQthgpEESqAxIatwQMBrGfs388Bbr1QtiJVg0E7KK7FaZuEcFGmtJ0dKYiovLhyjg998/x+gNuyFwWBsa1RBCEUhEH8kosksgFD47xDAQQwAMIQzklJhWE/o0YKyi6xI+gpaZ6BPb0TETkTsTy/0QCtIwB5TW5H0JR5CJsrz4VdVgZCaGjJeR0SVOjm+xunqGGwtLtLYGrctKb2YqPn085YtHE4Y48K1VRyDhx57Pf/azvPL6bd794Q95/uiM4CPGaGqjkalief4CYSyiMhASk3rKrtugjCIFCtvdGKyWDD7Q9h1ZGI5mB2wuzuj7LV3X7wkdEqHKOtNHjx8cptJAxKIY+g72ExpEyZopLVDVhH4MxPISc3B4yLBZM3rHD9/5c1JMNMrz6ddn/J9/732S0JycHHDv2glGaZ48P2czBq7f/SzvXg4cv3jKlz93yB9/95LFZEq7LaU9pXQpbyoKok+WLKcRO37tC1/icnnBX777MQ+ePqOezrm8atm0LU094/T0lNWqWByFluATi0nNK3dvkrLg/QcP9wpxgZSJqCJCVtTVjOgCSmTSsMLoIswKgyYkgxAedEH3GV0zmRyidM1m+ZisAyIIFpMZTWVZbZ4SScgkQJSPaQ4JKw0XyyUyQVaaJBRNXQgzznWoqWWGYrcbiNlwXEkaVXO53OEDOJmxskQlUpL7GJhnlwT//Ps/RDWG42t3eeO1u3z44Xvcf//73OdH7MaWkAPOeayq8Cnz6p1P8aVf+GW+960/ZrlecXx6g6v1Fba2+CGSskLVhjQ67pwcsHaBH37yvEja9tNCRnjzU5/h6cvHtNslAUghkcdIXVXcu/M6T56X18KFgdoqJqqiA5ILRX4lyufR58TqYsfHj59ztr6gnlTQ+iIvA1KUCCNQsYiCtBBYKXApFIZviIRQkKZ7UzkmQnADs8mC3W6FrAwuJSZVw0JmPnNjzpP1Fj05JKfEanWBcytCLlhPocoNJseSw3/+4hFKmfK6xFjoHtGx60cq01BViq7foY2kMse8cWR469UjHqx3fHy1ZRwL3SCOyyK3F7o8vFU1f+e3/gO+9Z3f58nTB8Q9L1oZiYxl4piToNYK9xM0sP7J9jKhouTvffXLPL1c8gff+wHCSEw2hDTQjS3GSHxQeN9SN3Nmk2mJD/mett0VxrQoFCRtKsLgcWoki5Lhz6Jkg7NzhJgIqvzes+VzGltzevQ6ghorywHERY8yguPZEd1mxBvHy66n0aWsp4ymtjVtiGz7kUSmtjUXy0tSdNQT6HYOwl78U0naGJAoptMGoyv6tiPEQCJwdXWJCAk7b6ikYAzw9MXjUr5tFP2uOEJOT26zXp9jTPm5kRK2bji+cYOX5+dk54i0RBeZTadMp0cM3RrnW7Rt2A3bfc/EIHMEJXBDj/OFHnJw8wbLi5d4P5ZEVkxorRApo2SFsRo3jNhJzdVmg9a29L58B7bgK81kCjHTjS0oUaaoQuDHiJaa86uXxFyMrZPZnHa3Y3z6mJQL/ylISa0VIEjI8tmhRPSk0PsSWUJZvSeYNGTh6TpHch5JZFJrgvDlHixhTB27bkAIzWa7RmoQUmBMxYunj/md3/n/8Nbrr9BuWuJY4nfo8poPKZJiYOtbBHvBWg6k1DImzXJIXF52dG1LzhklBC8vLlE6E5VBxlIs31715e8VAiHLOcTFSFNV3Dy5jQodHz47Rzdz4rhFy4QQmlfu3SQOgR+/907peAVByhqh97bxVLLvSnhQgsE73n+571bJXGK0Q3GhDL7Dp0jRvVYY48mpIKFXvee791+Qk0ClSF3PmEynnBwfcnG+ZPQjWtdMK8W29cQEWiuk80xtXa5fvkRosxbcnjX825895rd/4W0eX675L/7sIasHSwZaRJYk75FKcON4wbRSrNu0t7ELrBDEOLBpB44PTznr+5KMCBqrM4vFKavVFcJ7Uoxoa8tWX0TaYc1EzpjoyFU7cnx6jYPFEc8vN2y+/R7ffvcD/OjoY0KqEVNZxrYFNSC15tXX3+KTh+/R2DleVRCW9HHESFMeuon7SErCx8yNwynGWi7WK7JTIBQheZSVDC7gw5ba1lwtl0xEha0We19GLlsqpYgxFiKbyNS2wfcOWxlCzKRY/B1KK3xMBYcu/L7DpVhuzvY27oYheIyW7LodoxvJIbC8fILWipPDa7S7ATU4nO+IokAI/o0d4n1yRUiyFx0ZUwD7TVVz0kxYu57BZUw1IZMxSSKkIiQHSaB0USObXApJVgh8Lrmqk5PrpCHQjZfECIoKaLF2wuF8RmVq1psVmYiRkhvzGc+2azbLpxitiC6yOn9MWac0ZJkQwSBiwXaNg2f0CatTsXtpga0UV+2OiMAYi8yCIYPSkpwCKIG0gjg6hKAwkCVIWZTHIia0mqBVRohMlIrrp6cEKfiHf/R9nlydlXxcBJREG4UbHZWWhQaRDdbUZJGJA9y6eY9Vu2J5dcnZ2QMgIwVU+zeu95JKZY6qxG+/OuXvfeUtlq3j6mvv8ny1YbI4ZbNe8/2/fMnQjxxfmzFcZLwfOF+9xPmCRlJxJMZQcqHjUHjNQkKl8a58UENSWKX2Gd9Ee3WFpIglVKXIMRX8lywM++A9xgpiKtSXpjFM6hofS+7x2vF15sdzPv74E2IQZVouSitdi0hWkmvH11heXDF6z93rFV0X2W4TR9OKX/zKl/jVL32RXd/xT/7Fn2POdzx/9iHL9UtmVcWbrxzyJ3+5RWjDjWu3eH7+iHo6YbfuEAo0ZSV8sTwnx8T7n3xC7wbabuBiu+H0KNF3LSdHx7x591WudlvOR4/UBTeXRKaNgfcePUahEDJhjSYGyro0RNLo2bIlR48PGRlW1I2lqRqa5pDtbstme4lWlhgC02mFjzvW67PyGYkJhOGy2zLxusiEKP6F4EfyHpeZtCJ4j8wRpTVSBsa+x+dSPBraYb9VUaSQWG5bXr17G6NnfPDsGcpWDDkUG6PILKY1Ukk2g+dst2Qupnz59Tf4/Kfeolte8jfu3eTJ1ZpvfvKQ4EuWOOE5mE3Ybi548PHHPH/2nFndsLl4SQh75nre58hdwIXA2VLQ+1AEJZQJvFEaaQ3Rg4llsuV8QalpY6iaBVfLS3IOXDt9g8vLh0Q8XSydnDt3X2e7vKDrPEYZLlZXfO3r/4yPHn7IcnVFJQM//+XP8d3vv4fJHmFLx2RMIzoPJSqQS3E0ighJlYfNrFFxwKeWTM2jRx9zfNBwNJ+x2g1MJ5putwWl+dr9KzyC2Pc0s8lPs6XaWnzvCK4UXY1WSKvJo0JHhc8jSmastgxSgS+bv2EoZuacDc+3G/7rHyx57XHHj55uil0wFTFXigXTa6RGUCJff/BHv8tue4l3HiE0WVvifkJtdbme5VSiIkJlVssNORVLqzCR77z/PkPUzBYLlqsLJIUoJpJiDGVKmXwkRo9zxf/QuxajFUIpZC4UMvZErehKTO7myV2uls8JWpdJnraFqW2P2Y1butjy/pMfMgaPFhASCCEByRAGki6yrSwVXUhobUq0ZdgVYRnlIB3cWG5qVpJ9ETSRBa4v2nmRQdm65ImHkWldOhwgmVmLt4F+NyBqW3otIiIVdJ1DGEuOmt1mU+g9xjL48n1pe0K7dpTvpDCiVVUThOBwcUyKAed2hUkvDbIWZDJSlKK8kJaBbelPbMrvs6YACvqUsKbhaDbDDQOrvscYXczY7ZrZZF66Y1mShsikKYMVtCJ3G4StSnQvC6TIZcLrR3LMzOYz/DAWAyuhRMJyIiXF4eIa2/UVIQ4Un6PAaElwxXUitESkQFXVbNsWRUYJuHF6g+VqRe+LdGkM+z8vys9UiIwPHTkW6V6KAQ08fvqQp1cXuNERSMjgMErui6flviK1QGtT4BnZ4bLg4bNz/pvVFpEVb7x6m++99wgjTSlqJoGpBNbMSiQoJ1TQ6BzIGmylkDkhlOCNt1/jne+9g1KWa6e3efnsCSknjo+mbLuBV46vsTxfsvaJu9duo1Pg5eaKTMFhGpt5+95bPHl2H6UMO5URORbRZSzoRE9EeIFEYlQhAQXliU6BEEgiKewP/ST80DL6jtdffZWD6YyrtSe4Hr+HIExmR8TRkeXIKAPJJSaTGukSMSW6PnI8bbhz75BmMeHND8755HxHGyrcHvAQwsijF2fMFnOMrZAuEGTipJlw7cZt/vL973OxPNv7ahKVKJ+r1eocKSUn02tc9RuGsaeqKuZTw+gK4/2i3+Bd4MmzJ7w8P+PpM4O2E/qxDBiy90gFzkFAl8J8DlxenpMz7HZrmumCLBKTpkLmxNiXOFukXAu1VFg7Yzqd8OTivNjjFYXqE0oky8D+kC1ox5E/f+fbheuu1X64IkghlzOOksgql14WFRGHFiXyGHw5wBtb4UK5tidV3ke5jFRIY8ALgUiCYATz2Q1gZPQjJ0d32LT3EdljjCRGhf/XcIz/mQ/xMmdiikhRrJralMLl3ZMDfuPtO3z34Qv+9P4z2m5dWJklyLdfwRcbn1IaqxRaTRhDmZzZEBHJE1QROrjgeXr2rNwMs6RtB8SiIqsSyRCyIKusKS+q9wKtytpYJFBGY5oZh9MD2m2LDy3bdgdWILVl9AM4x/Vb99gur8BLmtmc1eqsTFCzo65sKUulUBCPQvxUpuRiJA+h2FlzZlJXuOzARx4/v+Aff+2bPHn5jCAy2lrC4Av5oi94zigg+IQQijE5Jo1l9B1nZ4/RdYXUhQ6TUhFeOFnkNkoIYpL4SuOVRZtEVSmuK8ORkmzHkaUfsXng3tGc0VacV9sS+xCWarGgX2/Lg1UIKF1WsipKThczpvOGZ88ippoyDAMSweLomKvNJT62hJARyhSWbR7JMSFkRMmMloKUyyo95kA3ZEiZupkhs2U7jMR1ZhgH5J57K0KGmDhfrVg0cya24TIntLFYpQruEoXPiuPZlM+//Sa73Y7vfO8H/PjBI3rfFYmLsJi9ZXPYtCSzXxN2A9LkUm6OCSULE9qHjqfrJUoZYkxUTU3febphZPQv2W03xUAqigXyYHELkT1p9Gx8T60Umz6goqapLKiEoy859xS5e+s6Ly8KY1xozemNO/y1X/gq292Sf/n1P6Nd92AnrNvC5E+55K6NKe/3XdcTlaBuLDIrRj8iZSILwWw65eTgmLPzK/qxJQVHIxVRJJQG6QULY/m7n3mNHz55yTuXHTnDj86eE3Ph5l5bXGMMA5ebc5wPNFIyXczpxxYfRzZLx0cPPuBqd8mDjx9h7t7gxuGMN++8yjhsuP/iOcpU/NoXP8fXf/Ax9z/8DgezCb/2a3+Dv/jm12lf7or4TUiyh4REKY0xhq4fC6oRDxRShVSZh49+hJIQhUArQ0qFhDKOgc3YIpVis75g7AeyzNR1g5EKkQxvv/pzvP/wHbquwwfPo0f3uTx/WVanRjGtZgx9S0ix4OmaKb0U5FjY1kqX94rWAucjgsBgDAhBrSRjcFSzY9pdR867Ym3dlUO0aCbEusFvBoLvGLNHpVwQnSFQKUXUhqqa4vsl284VlKJ0iL18bDcOGGMQMhU0nyj4RpVK5vLJuuXdJ0/JgEVweDRh13tcSIiUkNoWXr9zpHBO9J6makjZk4UnxIw2mhQz0SUmteVvfvmzTIXhD77zDue7NVJqBpf4ziePIWWMaVAU3fl6taQyFolAVxVtckTKhjGHxOJwQd92pH0SW0nL8eEhq9USW1eMbuRs9ZzJZManXn2Ls7OnnF+8KMU1kamqmnFsSz9jv91CCuaN4de+9BbvPj7nkxcrfCgoRqU1OSl615UNhCrCQJ0hKEnCE1xGqsgQDZVVOF/KakaVsrdzmdo0bLuCf61nh0SfSnQFCDGRfCCZhEZglClltxjpnQMlmcxmyEowMQfUB/dQruPscklHifrYStH3jqHd4seW2lS0zmGrCjeOhb8tKZ8JXQrlzo0MqUMIUKZCqUQdyrV0u9sxug7dVCD2DGzblCGS1vQuoIQipoAbd4UahcIkhTV1gTZIyALaYUddW6zR9O2WmAPz2RHBD7jBo8icXb4kplJCzS7gRSQJS11P6PsWpEQEcJ1johQOUErQGEWvoXMOqJlN52y2a0KIKGn3ErGAkA0x9NSVLXnv0ZP7ck20WnNYKdohYfSEoV9hpNhbdwEiOQi0ViQ30srEGD3to2ckEkNyCG2I0ZFTKsOpvQtjCCNGyfLns0QoqIVmd7ksB2gRefz0Q6IPHBwumM7nPHrymKtLRwyBqj4E2SBtj9gKBh/JuQw5Hz17hEDy5qt3efzyBetti0u5RD60gaAZh46msggZ2XVbhChUnnImFcQcC8giCSQBLTQPHz8E9vn6VDZ8WkvGbg1ZohD4WAr+b9484t2P7jOdzIgy851na47/4iOebHo+vBxYtgU8UBCwpQyqtEWphl2/5stv3OMHDx7R5ciDl09L9MzI8lq6Ajo4nh/w9HLDvdM5X3jlLt9/csH9s6cs5hNuHFgutpnTmzf58bvvUKsKIxSByHo7YowHo1FZ8Nqd25ytVkQMMo1YDdt+IHRlYBGjo91sQUVu3LhBXU1578F9iA4vIpWxCCV4eX6OupQs6oZV21ELSZqUyJ9RmYN6wmrbE1JCyYqjxYJ2XDMOA9ro8vrHTM6F4uN6hzKKceyphGAyqdmOHqMgqsjgOpSAprFkWxF7B3gGD1qU3liSgno+4c7NT3P58hN6fwlS022XhFgGB97/DzPi//Uf4iVkBM55BIpxiKQUeZIuWS0mTJVGyohWBZHkQyoW0yhQOVFVAh8F3ntC2hIF6FTWfNPpMaLb8oVb13nvcodzL0mirLPJNf2uZewHksyQI483SySKylq0VIyhTCCtUhhTce3gJl/64l/lL775L9isLkEITFYoX7Bh5MjjRw+Y1nOmswlX6wuSUqWhLgSD85wcHWCrCRcXzwnBk2MialmmCVnhc5kWRF/KmUYVMs7ZyiH8WBBbCLKQkAQog9vbA6uqwTtPziPbzYBSpQ09OE9IpUQpcyoPPyKTpNwbYjN9G/jaw0vcOHC2i3z90nPWBYQUnB7O+eLdY/7629f4y2cbLjdb1tJytWmx247bpzM2u4DrO8JQ8pbTyZzBQXvRMZ003Dyd8t4nLcHDanWBJoPIqFrhBphNGtou4lMRlYSY0FD419KQZCr/NgRx7JlODV27pW1HalsznUy5WJ0jY5FUiJzodzsethukUuQYWfWCibUcNwYfMh89eMQ/+qN/getHHrx8ia4zKisWtuKzrx3yzvuXKA0x9Kx9X96wKaBkkTeJ6BGmKLyjosSjMqAUyQmikUyaBV27JAhR4knOYaVi6HcoM2doV0UCc9hgY2TsOpzMqKAQ2FLIHHteu36NNAaej57sPU+fPeOP45/Q2BptKoTJ+wNkeeiUteX6tVdZLq9ww65MJiiMdIUm+UBGoFRhLo39ms++MuPxy8CySyXnm3Ux0gqNE4lvP33Oqm1x0aGVpO0DKQqUtby4eopUBQsXY6IfA/35ukhRbEWOgecvL3lxeYUPnj/5sOP04ITrR9e4dnTEk+WSIUS+/u77XA4dY0xsRcWffevPWa/XhccsEinAdDJFKEHb7dh2HUIqEInKyLIZswVBKVUmhIw0NSKNe3RaIoQeRHmP+NRhjCKGiHPF/rjZvKSWhiH6kqEVEVJku9tS11O2buCTFy9ZDz0uC0TK9GPPZDKj81DVlt265B5FBqMzE3uIi/1+iCMwtiaHFvafw5hKTlOSGcJIbMtD/RgjIXlySExmNTkE+uCQCZpGcnx8zMXqihQyxNKPUKrG5LDHEipElpikCNIRVEJmUzaaSpDGkQGFHAISgUCgRClVxuTIFBTtrRunjIOjHYuYBJlLNjmBUpba1Hz0yVNmdUUfBqpaIrC07YYsJI0U2NoSUsYNocyWZSDKkkme1BN8+MnfV+zH2hhKUCUy+JHL1Tla2YKglaKUG43ms1/4CvH7I22/ZLUdGXZLEhnnR+qq4ic1Lx8DXbJcbh2VrTAig8rU04bgE2EISB/IqtBKNKCVYHQJpMHUkugdgoAQxRQppWE6nbLdrfC+5LZRZl/E9Iyhp5ITQGAVTCaaHsp71mcqbYm2RwiBItPu1iWL7FrW2+8SRCKMIzIXyY3vBiQalUeMhM7FAoYYemQCn0akLgbao+kcGTJDGtG1RcRIDg5MRaMbVu2KqjYkaTDYsq3SI/NpzVd//iu045Yf/ehD1ruOfnRQDClkVPn5qQQx8EtvvMIPHz7nEghDZD0s9xNNOJoY3JgJB9dw7Q7ft6AyPgSMksikCDHThR6tBdknhLQIHakrzbgbCRkevXiOEaBQZDy77RJtJmQpCa7f98omZCKLoxntMDL6Hm1rku9JWeJDZJUEQknGcYumODlyBu/KYTylSIMlJEE7RpRI9DEiUi4CydqymB+xXp/vkdcFG4oU2KpmNpmy3O3w0XF8eETbJy7HnqgS2kzwYcN2t6PrekL2pOQQgPcbnl2uMVpAltSqwotASIlRJuYGfvUzd7h/OOP3v/su0kcaFIMrWF5lFElmfNJI6VDKknMm+BGtTflcS0EsaBYms5p+8HtmPuSYGHPECIsyFdH7UoxHMbYrnlwKApQysJJ868mWj5/1tMmzjJGt64jRYSuJC5mmqpkYS7te45LnBw8e48ms2jU5J4yU+MGDLdGqnBWTCmZGcrupeO1gwoMXIAisVmsmckrbB/pPHK9df42zzRZlBPgRskekSCMUo8n0Y2QMAa0kTa05MBUugY6RqKEyUybzY3y/5XK3xS8v0UYzisiNkztIpVguX3B0MENkQdQVVfD4McAosCKRXGbjB5JIaCNJZLZ+pJIGO43ELBn7SCUk1WxGP7YFsWkEWUmCkGzGEalqRM6Mw0BVVUVSliLGtwgUXQSV477HCHVtGdeXvLv6s+KOGAPPH99nYuv9tTnuh1n/6l8/8yG+d575bAJRYupZsZ+mgSEG+hz58PKiHIB8ZD7JICQ+OZIwxconGqQCozJCabyGNHoEksvzZ7x59zbbcctmWGIqSRaqPDmpjI9tsdNJRQ65GEpzIiMJCZQ1iKEo48exY7la8a3v/TlXZ49RViNVwueMzyCmFQ2SuN0hFOx2O4IL1M0E0VQl3x9hGHvcPs9eco92n2+DmMoq1OWi9a5Mxb27X+T2a6/z7W/9Id47Ol8mNkoLrCyc1z4ltJBYKUiyJCiMlVhrcaODGLAy//SAbI0BX5r8UpUJ/ovNCvLIi9XA1TCwjMWm21SHpLjhsG74uVcqHq8DjTZsk0HpEWLPwfwW6+4SUxUqR8rFLuaCwxPYjZHz1RqVDFFEYpB8+tXPoYziw4cfgEh0u1XJuQrDbDZntV0zxrImbGqL1kUMEVLExUgXPNNGM3rQqmbeNFwuBUfTI2J2bPot0ZSYhhtHhNQsO8933zvnb371hN/9oxe88+F92jbSh44nz5/hpSDlhJUdn3rtgP/nP33CG/ducna+ZLlpEVkUOxoRYpHaSSXJRCpbM/qSRdYZjJ3TDi1ZyGKfzWV63+iKIXhCt2M6teRJxfG8odv2RDLSSAierDPSVHTRMbGGt+6+ztXG8XTdE3IijoGPHzzAqhqrEiGKgpqypYNRRVEeNN1YsHa5UGWyoNh5mym3b93j2ZOHtN1ICInP3j1iPa3YDEMxe+67D/0Y6F3m/nJHyIm6MnRdKYMpJSEE4l7QNV/MiywmQ0wBKfZyFi0hhmKQ1ZIQAmfLl1wtz4kpMT+YIYNnOQzUpghgvB958fKCpra4OBZ0qcz0bsCNJd6jrCjXgWpfNhZlG7WY1Gy6jpgiyo/kVGjgujZ4H8iyMPZ//tY1DidTvv7BB2yDZ3QjY3/GxeUZqMyrt17j+LjmwaMz+m6HDztiypxfPEULiZKANsVqiMX1bSl+Ko1IEh8DR4vrTI5O6FdPi+gmBu7eusfy6pzObRBKI0KClMrhKEBIkSyhVoaYM7qqGfoRYiCkiEoj2+1LhqEmJ0GlFCmN9DGiK0uWiVeObzLEyOXF5U/14kqAH7Z4P1JPpoxjeSDrg8f5/bVQCogFInAwmfDlN25hJHzjwyclwRwS1hiG5IkU8sn5Zs2mb0lxXxLUDUPfk3MpSFdVTd+2+BhJKWO0BpmIOZJ6x8HxLfxmiVbFhFsnjcwCW0tycBijC/fcNhwvrvP02X0G3xHWgX/8j//f1Lpmu+uLYUJEUizUlBgcQiqGcWRaWfzY8YNPzvnCZ9/ks5Mj3vv4fbrdjkZPGJNjPp9ibU3bb/GBwgiXmkjkaLZgcIHoPTFnwONSIOxalDQoPSCVB6lIuZQEjWnwYQCZGZMq5lWx3wTvy22qqqkrSyM1YexpQ8E4hpDRlSELT8wlb02MCJFYb84wWSIRxdYsQWqNd67QlypdYjtGYoxibLdkoah1OWQF4RA5kpMGMuNYeNPRK27Mj/j0669xvlzxwXuPODyYcLU5ByhK+2FTOjvjSIiZi92aICOIIvxTsqBQs0icbbeYrLk2P8XPb/Di8ftMlKUfB+y0pmuH/bZFMZ8csN6tcNmjfKauGkQBAmKqisN6wr3br/ODD99BiOIrESoXC2/M2NqA0XS7lhBKNEkh6JNCCxBZMUaPRqF0IZ1kItYoUs77ib5HJo21FWPokHnfe5G5UETCSNfv3Qxalm2NMiRRxIatzOQYUDGx2+14cXXOOLbUlSGOHWhKTHSikU4hLZATIY3UdYNCsDha4Puey2Ek5ci0mlBry7qNfPz8gigFRgtc8kgJQYLNClstuHvzNZ48/ZjedYRcPDZZZEAQo2BaT0gxsNm1gCZRhIU5x1IQT4Gc5b6wnZASlMosl5fEWGIqPtfMb95BygXt+Sco6cm0SJkQKTKfzBn6HVvvQBrqqqKS4PvyuREURKqWFTpLkIlVu2O57Tg8POT7z69493LHZrciR3Ax8nKzwyiLFJ6D+YRlt0TExK3jUwbXo7Skml3n8aP7rLsdUsCsqlhu1+wEzOsJPldYo9muX7K8OuP04ACZMl5EhBZ743FkHHbMD2oqZdiNns3qskR4KWXYprJUSpNTIoriIJD0xM6RbM2vfvXTfPP7D/AUCqAcDUPrqaYWpSUy12XYLEuUeb3dABGlLFIqxn7geHHAvdOb/PDRM0bX78EVAhkVRsgCHokBJTWbfsdBU7PrijenrMb+1eM0PzNisqo0p/Mpb7/+BiGVC2ROis4HfvfdB3y8acsHSUpaF3BeEIIqf4WpcEJx4+gWr1x/rSDwfMAKSYg9A57L1RXfffySzc5Tq4rPvXKPelYT4541ayuy0WSji+hAGgKZGDzRB1AFY6WywspM2w+oqqYyFT4mfBhxbkT4RCwURbpdkVQ1zYTGzArrNyU8ia5v6XarMl8SRdYhQkKL0lR2LpaIw+Ecnx3V4YLXX/sC1tQkXZjoIidUjtw4XvDK7euloCQlfhgLYQeF94lxGIkZPJKYy0bgU4cN96YapQQq58IUlWUqN4qKVbYsx8A4DIzDlu3mJUp5Pni+4b/644/4y6ewGgKr5Tmx2xGi4P6zs4JNFBJjDSezYwyWfuyQQmOFptJFcIDSKFuz7LZsVmtUKvzdYp9NfP6zb/Hv/favc+3kACFVsbGOPcQRa5tS2FWWMAwlyiEkV7sdDx5/QlXVfObNzzKvFxxNT9C6ojI1Su4lUzHx3/7BJ/zmX7vLr/z8gpsHC1Q2xb47emI7ct1E/tP/0ef4w+9cEjlmtwus+2HPc5ZlGiwFujKETDkQJuiHgRA8wgViDJhKoXUm0mPqImBxw4CLEZ+LKKzdnSFzIMVI32/Jo+OV63f59NufRhmFShGCI6WBP/6Lb/HJ8xfcufsGOUWGYYARfN/T9T0h9BgUeUxImxmDZ7U5o5kfodQMIcHkvO8dRGpruHnrBkJJlK0Yg+frHzzn+WWLQeD9gN2jPqtKkpPHBc/oPN73IMuBfKpnXDs8xtQWYyzdWKy4OQckZZOUQlntFoNuJoWMkqLw6yUoIVmvNkgqUhD4kJnUUw4WDUIqBBUpFXwfwZNSj9WlWKe1BCGZ1qfU9REqa3xwrHY7BMV9IJWirheILImuTKwVBTNX1w2zpoIMyZdrX6bIhypZM7iR1aojxwAUnKvWhkldYWzN9eMDvvSp1ziYVigtmdY1tdUYI/afLUHKA2dnD9m0LcMw4lMiZUckcXg45+ToAKkACgkh+ICIARFBGYHUEEQgK1C1xdiaxeEhRlQ0VVNkSbrh+skptZkwOs/R4hp371zn5slRETHpsjKXKZNEwoeBMLbUlS1Za1tz/fQWE6MxlQIjy89gXvM/+dtf5u9+9W2uHy+4PpuBVCUHbBWLxQwlM0YllEh87vSQL15fEGN5WNGqoqprsBNcDly/eZuDw0NunCz47Ks3kBmyVqy3S0IYCHusqK4PcCGQvScIhVIVjZ6wbTclS9soTGUgRQwBYxW2nkBOuJjQykIqZcPgS5RHSktKgnbXsd0FvE/43iN1RT2ZIpGMIRNyQcZmIkIIri2m3JpNadcDzgVeu/MqjayYTBbEOEKKKKNAmSK081BJW8Q4weFDQe3GFDCqYlrVVLZCIKjqino65fb1N3jrjc9z99U3WSyOqKsapRQiFWFYDA4fPaqukErgk2CIgZSL/dJqs48waCpriCmy3G053yzRNtMsqnIglqXUPpsdIowi+AEpoLY1VTVBK81y0/FP/uBrfO0b36QbHaMrK38yxNFhpCH4xDB4gnP8+MkFm24oNk4JWWSSC4UG5COdG3h69iHr80fIVGzp9aTB+ULZOj48ZXZwQD1foI1FSkFVKdrRIa1CKImp56yHjodnj5AikrREJI8h0TQKPbGMw8i4HRhGT4gRN0YyGowgyFwGW6IMVMiZRimmti5gFFEiJ9ZMiGiCc+gsyDmX+ASqWDSFInqPlgrJfmJGwlq9j2CpQjiylovdht04oKRkpipm1qAQaKlRMu6jbpkcM3M148tvf4HaVFxcnrNpO5SibCO853y343f/4vt8cnbJVJZsekDgXMYPDjc4/Ljm4ZP3GXzLyfXjYhxVgmk9RQpFPbE08wmmskghChIxFaBIM1lgkTS2wuiMEYpKV8VcbyZoU6GrKWRFCopX777Jb/zmr3NweML5co0QEistPkqkLjE5F4u8yI8ju95xcnSLw4MjsojFwSMLznWqa+rJAiUl69Uly+2ay82GwUVEyFhZ+kBfvnGdX7254OmDj9hu16TgmE8iP//GCbcOazbnLzk+vMnp9beJWfB8eYlLia4PrLsNMjn67Vkh8qnIut9wuVsytA4Z4TN33uTGtEIOPaqPHEhFHB2TSqCVwFQaaQXKCo5OJ3jh9xy5SPQRkQMxOx49u0IpQRCp0AGJKKXxw4hIkr/z67/BtcNDUgyMQ49RmlvXXyN68F6g5JSrYeDBizNGVwSHVte8eeeL6GpGCAmRDMSMy55xaHlxeV6Gu6psXP51fP3Mk/jTxQk3T4/pg8C7nhQz149PiUlytXmBCqogtXIgJ4mSsjBdJWUi6XsuL59xliNZZRwZIQ03Fws8kovtJZnIpJkQk+Dxyyv6fizFT2AiZ2gpaNMapcvqUlWWmCMiyp/e9KK2PL14wenhTapqzm63YhxjWaVIGJzHBYetJkRfMnNJDHTDSMoCgcfmRKMtQy52zTdf+zQ+JC7OHuHyCLmUboQPeKWoqoYPfvwtHn/4I0Jo9zi1gleLPnHt4ISTowWPnz1DCsUYA3nPhJdS/jRCY4wC77C64trRIa/fvc1iO+X9D3/MOKyojMHHkdYNBCXBaE5nC7p+h4s9Q5rycjPybDMUbvJYqDhO5nJhJ+w5/w5SZJk8s9k16nyAHwcOjo6ZTeY8fPQAoywZydnyEXks05vGVrjoMEojlObk+JBZ3XAuNrjgEVqRksCYpkgSoicQWe1Gag1GhYLPdIFv/vhb5cCawEdHlhqQKDIpSZ689Pzv/0/f5X/1P/siwR3wO//4PV6eXfDZexPeem3Gv/9bn+OPvvGQ3/2DJ7ixFHiVVmhZJsrWGGxT03Ylf1amGJmq0UQHSjVUVhO7ASFKJEhlxZALoqrc2D11PcEIgwsj66tVKb6oEgc5aOZYW2GHAR8zbYL7Z88xypCHkampyuHhJ2ZTWR5qtZVYCZ+9NufJuuV8q1itlqQ4IkRENDWxHTFZsdtu+bM//ZfFFColddUQgqPSFbdOr/Po5QtGIllB8pHFtGHSVFxerYqsx1hyEiwOj9mtz5AJKmsY44AUFmLcuwBAqLo8sE8OsTnS7dalC5Ej88UJfuxw2y1CSIydsd1eol3pV7joyW6EFNBVhQyl/IzKOFfMw0ZbpvWCIAJuaCF4XAwII4rgLSdS9qRURCdCGiotEMLy/SfPEPvDozKQhMIIg5ElP3p+ecbETqinNUZFtsPAfDLhrVc/zbbPvHx+n/OzFet2IERBCK64AFygNoaYI0on1OD2gjWFNRXPnjxFScnn3vgsJ0fX+ZOv/ymt66km1b7oFDAiEYdMEMVirZREqwn1pKFSCeUzw3ZLjJluWGLEAVmXsv9qecV3d0tc8MXOlyVSVmRZDh61UZACIQrqqiIGTz90jEkwVRW6FqQxsNoO/Fd/+H2+fPuE/8Xf+AIfX0T+6buPePr8EZO6ISqBtYHD6ZShH/jy6zeYV4pn3UOuUkcMCRdA64qD+pjVes18VnF8fMzDp0+YmBltaFEqI4TGx4hS0NQG15cCYsoKZTJ+bJFJMIzl3yylYDqbM6saXp4/KWQUoYmpbG1qUyO14aQWrPqxTN2SYYgD7378LjmULtS9u3exyqCU4OLqiuV6Q2UNppK8dvcGt7Riu91xtj4jaMH9J+9jzYS6snhv8SngO08znSKC4K17r/HgycMS2VKRSgtkTngizjm2W4fWuuCFheHO/IRf/NJf4VOf+gIPn3zIn33jL3i4fReRXXnolKC1JgHOOZIoPzshig18HEfkPp5ozRQ3DpAkWQSEKnQkYyxGVlhdc7i4hg8BQkLpGh9HIHN6coOr1ZJuGFi2O3bjtgwmEGUYYgRjP2AExBiQRhWgg1DICI2u6MIIpszYJBR5WT3BjTuiH7CTOd3uEoNhMW3YOoeIkRQCL3dnCJmKhTxHRHLkLBGWYr0dO5KMxb+QBEoqcpJs24zUiXkzK9AHH6jquhiYx778Ggm0YFJpvA94EkLPmNdTfNejVGB0LUE4ZKpIYo+fBFAwBoeUGin2kikkVZKgqyLIGgNZKvrdFiUkSZZtND7ic+ayLcMRKQTSKIax2Iv1Xn7l4siP3n+Pvt8yhrIBFULgvCKJgLGG1W7N8eExv/JLv8Kf/vm38CnS7fnqKUb86Ek543Pi5Yvz0m2Rgul0gfOR2bRm260Zxp9gJEuf0Pky1UUpnHMoUbbeZJhUDXdvvcb9Jx8UEZOTaBn55rf+kvW6Zbfd0I9dKTjnjBGBiZI0R9dZb5dFxKYtjZ2w6zqMlShRsJkxUXo+StG3LXfvfZqhW7HdnhF8IoZYBmdoGhS/dHfB3/nMbc7/f9/n24+WmFrz1vUJv/LpY55vOnZdJNkTPvjohygl9ohWaCY1Wk3YtJcgJVIriJaF0rRiIMXErNH87b9yh+BGfucPW676lldOT7g7r7n/yRk5eVStUUnhg+DsYgAqoi8/m2wyIXlkztx/tqGymhQkSgiSFBwt5mz7LTFF3nnvR6w2W4iSpEqH4Kg5wvUdu2GNNRorNT1hTyiqSNLx9OIT+r7HVOD6EaMpdu9YrulKF1JjCP+GM/FVrXl6dclmtSoFE5lZri+Rwu6zXInTk7u07ZKu3RRudArMFqe045Ycwr6Nvs9n5vLh01KSsiAgqecT+m2HS5lN75GicK6NygjhGYcEOTGdTxlTgBxJEpChPCgEga1Kfny3fcn8cIZPfVlh7pvMRmkSHpfcXo/cI0QuU8kYkbpM+NtxBFuTU2R1eclieoA1GpEEA2XVJoQk9gMHiyO26x3LbodWmiwStpqQgyPIwF9+/CGVrhFZUYuqFL5CIYpoqRndQPQRqYswYEwgT6/z1he/zMtvf4T3LTIppK7IzoGO7No1VW0ZcLhcvpcXV22R6xhJZUZal0iaIiEQkt3QomSFFJqw1wdv04qUM+SeflhxdXVGzEXfnnKxvCElUsIYPc10Qt8OvPvhRzx78oLVboetG3AZsb85+3FTHuZkwTNqXVi289kh6+2aFCIqGXyMRELJKvqE0KLEpowkJckHz3r+s//8u/y9X7vHv/vb15jY28zqCX1/zLsfnfLPv/4eu3YgpYzUlDUxCSEEac96lqoIm0xdFwSWbAh0TKdTVBKsdhcgIzlEtJaY2jC4gjy1QjOrFoyuQ7Cf7BhNyIllu2Jzf8foS7xBaImhkJUCjuXVE1IqRrgsSwlcComRAjd2fOnVa/yvf/uL/M5ffMzvf3zOtu2K1loqNKpYeUXESIHIgaq2+CHQ9yOqUvhygsJWU8Z+jRQZO13QuZ7dsKM4uzIqSqLIvLh8ikyCVCnG4BBC0G63WGXK58FLkILsMtVhhfcOSSFKxBjYbNbEMNJMDCmOjKNHaYBETBlTG0LKCFceflKKCKUJLqClxKqKFANnF5+Qc97r3MGamhADzkWmzYy268pNX5Qy/bw6oJ5Yhu2aq24EBEZrUkwEHLNmWiaowuDx3D044uc/9RX+8C++wbZd8/79D+lcT3QDMTbEXNZwOSaChnu3b/GZN2/zzgcfc3GxQWSBVZoQy5arqg2T6S3evf8x8+aK6eSYrFYIbcgq4t2OjOJgfr3gOsPItmvJYaSyguig9W4fYSimVJ9KJEsJhfeRk+u3ODt/iRaJrMrqf3Q9N64dk1Kk3XkW00O6dsXp8YLLyxVaSEbnUX2gCx5bGb7x3lNGF/it14949vxFIanIn6ze91MfZZE68g9/8AkGwc75Qp0JDhFH6irjtEFtdsQuI+QVWk6RdcPuakeMI8bqYoYdeibNhEkzZddtAUh+JGtBFrkU+BHUdYUNmUxi0hyw7dZIXWJgISZiHlExUC0mnArL29cO+ZcfP4dsMNR0cUdVGV48f47MAiFzOXBHuZemaR49fM4DIpWy2FnDoZ0R40Dfj4SxHMbn8xNW60u8C8QQeHTxBJ96CIX85FM5yMTQ49SIkJkkYGGmWFVzenqDX/jKX+WvfPXX+eb3vsV7733Iy2aGH7dkkZlMDui6NVoqINCHkpEVUkGKCAqcx07rUjaWieQkKeayWU4ZhrQvyWe6flswjFojpCYmR0yB8+UFgrLVXRwds3m2I8RMYxXT5gAQnHddkaYpibWmRDRJRAGN1ViR8WlA5Yz3mWwcJmSm9ZQoSkxLkAnesdt6Yo50w5aAKEXsKNFCoWzNSMCNEYZEdhccNHNidHipEFKRfCLJRFWVLVjftdT1FCPtvp/gMMYgncKkgh4Z9zl4lCDqyKpbkZMsPROApKjrCYMbSAqiAjU4pC5krxyh0gUZGClbB+c8WhhiCti6IoeIEDC1lj514DwKhcsZLQ1ZZHJWCC1IyRfbrTW0Q5EIWWtKb8CNSFEVud2euhOi5JNHZ/S9I8QBKRSTZk7f7/DRI0RB9R4sDui7FucHNtsLrKnYrHrCHn0ZfEAqU+BlZIZ+QClNjImoBEIUjn5KgQ8/+TEpFehHMgLbVHSu5eGTj3n24vleSpbJUuBj2ZhqE5nNGpabHWpMWJEZ+i19V4hG2hp8dPRDKZ8LkfDjyOgczv/3OX+lDZLEgc0MY8f/6/sPeLDcFTmdajAy8enbUxZTxfeOlzx48QlK9TjvUVpAyoxdixM9zXSGZkIfL7k+mfKZm7f51pNHBFXAG89fXpCTwLkBKwTPnl6wHTbYSYWwln4YiEEitEJJRWUmOD9QNQ3bzbJc423DwckrdN2Go8MZm+VT6qoh9j0yC2JwnD1/QRSCQE+FxefI+w9/ABm0VcUzUQliCLzyyutcLS/ZdR4XWozOqCBpjGU+m3DVboipDEOLGK7cb8sT5L/a1898iH969pKcEiFDMznADWu8d2RGKlOBNCy3W0gOkSTD4NF6z9Zc9ygS08mMZb/BmorsBqIaebKNWAEiKeIQyIJSRJUaq0qek5jpQkutFJWWXC53JClIPtBoS8qx4JpExPUdc2PJWtC3ZcJUniYTCI1tGqZ6yuVuSwwRq0uu99rJKcPQst60WG2JyhHHgZzgavOcrl8SKVzqgi8TWFGyxrvdCh+LIEEpg8oRN/aInKjIRDcSs6QWil98fc6XXr3B1378mB9fbHCx2L+SjKRcCilSW3Rt+eHDp/zg4x8T/Vim1nWD0nU58AF96nDSM29mrDdXZfWGQOuaDkEkk0aHMYrZwSFhm8g+gzSgEllmrJL0buDOvVe5dnjED370I6xRVI1hbH2ZptiaFF2BKI1FEtW1HTkrQhLgCoNaG0MUEpMjvQdpNFlEmlozny8YXShlTZlJCGSmPOUmysGJgBIVIpdJdRSBq7Xnv/xHH2F+DyaVQguNNAfouuZyc0ZOe5px0kil8MmXm1bwCAqdw6qKMCZqo+nbHYjMMGxwgyenQgkRsoinXBjAQa5kyb6GHTZnrh+d8GK9JgYY08jgWkSoULpGyFDIAVGDitS2JvjA6EORcSRBM633patEPZnRJ8X//esPCEnz+uERPx6vCD6SYy4kh1T08CEnlNb4EJHSFoxnKuzyi/MXhW4jNVoqoqfEHmQ55Cq5L980mkxiGB1G6j2nuqayGaOnuLjBVjUxCLKMXJ49J6aAEgVDaZQiJldkJqbGZY8bYtl8IIr+XU2xjSakFW/cvcf5dsV2M2CqWZlUplQynDGQQygPV1XFz33+r/Dgo/fZ7s5RyvDFNz6DVVPeefAjFJFVu8EMRYpTWcMwuoJGi2BthfOB1pWistGZ88s1f/TNb9L5kZQTg9uCEEymE/qhyMj2iymIniMj+Wtf/DnOzlvOz9YlKhjL+rqyhug96/VL0IGmKfnQw9mcfuxwFGJXTJJ28Ny6foOxu6IfB2L2rFtHypKq0kAFYSRDEVgNJVufEFy79ir92LNbXzD0A1IqKqHwrnz+XMjkPuKdY7UKJGEKLlCBCwVXRop0oeXdpy/54NFjhlAKfk0zxc4OWbcvGb3n+dlLaqsLqUNIUihiNIXYd30i3XZNSo67teV/+Tc/x//hT37Eh1fP0EjGGIkuFsp/kqy3KyAhJEg0VpStDDmWGE2OLCaKf/uzb/BP3ntUUH8xELxDC0NIY5n4icTH51skmfNtiXyEmMhjTwyRPkcE5WefRaZSxfZJTsTRMaaM1ZLN2KOlIIaMshXVtOKt4ymPljty9iALptAIQ7fZgBSYpiEljwwZLBhZI4MvJmSVcaJM6X1IPD2/5MGTcy6XzyGuix1SWUJw2Mqy2UCIPWi93/IqZAy4lMqmMkKOgqHbopVEk7h1OMVnwfPWoUXG4Rh8xAePrRsiAsKAlhUpu/30vAy0Pvnko/K9m4qbx6/QDsXmapQkqYwMEhlK/NSnAlbY7K7202pF3j9ciFQOzCmNxJghxbLFU4kwenyWuN6jrGAxaUjZMHpH3A8MhAIrKqJ3bHqPUYr5tKHdrfGpFIPryjKtNc+2LW/ceYvV1QXPz56zv20RiQi97zakiLYTUvAIB+SIJDK3Ch9SIarostXVylDVDW3YElIogj5hGGMpdiNA5cK3r+s5OTpGP2B0wT6uNjuEKt9ERBKFQJhSms4h7OM3qYiHQkDkjI+ACCUKlktv5Fe/8vM8f/aEh88zq80Vu/eWEBOJiDKSsR8KojsVieWdO3e5cesm77zzPWI2dINHqUA1mRJ7Aals+afzGavVM5QuXtKUinBOac0QRpTRxSqLh5yJaHRVkVJk9Ds6Zwu2U0mcGwhSglRc9hsar5guZntzbc1qt4X977VCo7UiREGKAR8z0hguLu4z+pGqMsW/Ii0iKbLMTJqGUdf88x88pPUJM21oQ+Iv719wbV6ThKDtR7rtrkgDU0IKgxalDzOb1pxYRdM4Hl7C6BNtNqjR4Qj0o+UPv/URWlqiEEgt2bVr6mkDMbPtWwwgrEVbwZ1r14hjZN0L+m6HtYYYFafHx1yePSRrSQ6G6eKYrt0QQkQkCSITRYfzYE3hyM9VxUjZErvgkdlycHyNq/UVAxFZV9BtimMkQEAxnwh+8Y1P8XS54r3H91FS0PX9fnD6r3x+B0Dk/LNpo6YH8xJVcAWTlnxBKProMVKW9VBMiJyQWbCYWjyZwSeEMGWanguHM/qyajcyo5Wi9yPDGJC6wlA+0EIbUnSEnLh14zZaGF5ePMU5j5KFIexipAKauubnjyccWsPvffxsn22WqJwR+9WaUIKqWjC4lqFbF9tjGY/iw0hdV4AgpYQiE0gsJjOUVCzXG2LMGKvRJtH3sUz3yRRtZkXKgUwijJGJVYRkQYFOiUBC25ojo/hP/tbn+Q9/7TP8F//kB/xfvvE+F7sOLQoCTohUzGMoDo+PGMeR6Fwh4wjBr/3SX8NazR9/7V/sy4+a0Y8QE9ZKgvdY06CERGjouxFpFcZITDVj7Abc0KG1ZgzlAqcpU7XRB5SUuFTY/VZpjLHM5zXZZ1arHUkGchJIBQKQxqCy4PZiweW2YzW0WG1K5jIVaYRKEWsVr965y/OzK67acqMWsmQoZRJcPzlh8ANXm6syOU6Jg3rO1m8IxKKXV+UinJMg5kylJVlGcpAIuf+1aoIbO6yxiORLYVhqDJqx6wlxRGmNIjFGUQ6Scs+r1YLRj9jKkkJCCajNhM/fu87JyYw/fecDTDWlGwYyAR8DAsNXv/x3ePT4Ay6uzrl5coMhdvjUs15dITMEEiYralsQoZ2PaCv49L3XmWrFR48f4EOmjb4AsjVoKq4fHLLerUEb+m6LNppu8KQEUglqLYu7wGhyLl0NNxSGeFaixFeSBCPxQmNkkSeZ2tBtWmL0+wy2JYVQCm6pZEtn0wNc3xMoD+LBRcii+BBS2h9QCvKtNnumiGzwvsdquHf9Do/OniFFxdHhEd32nCTVvtDoMXqCcw4hE/VkTtd1JCLXb9zhzVuvsN1s+fjhe+VhIUWa+pDgRmLwVJXh+PC4yLjGAa3t/oYKOnmUrUg5cTCdcrFeF7RbhpgzSgYOpgd479j1hWV+OJlw7eiI8+WOq3aD+AlLOyesqtDWIpRk03VYLcvAIHiuHx+z3I6gytSuH/uC3Y2ZkCgP1CmVkpnIZGSRw8gK73pGn9CVRAa1fygZygYpZhZNQ+cDOQWk1ftytqK2im7sSMKW2GEIRBeQIpByxpiKfhxAJEIqN9TgI1JZIgOkSI57Ln70xBgxSqDrurD9UybukXgxJBopeev0lMfLHTs/lE0DZbKplWLeLFi3ZfJctiGJxWJBDoLBd4gc8WPgaL7gs6/c5MOXLzhfdmhRCofFwxDL92EUx9Mb9HGg263JCTCWHB1KGlIoGGHvi2E3IzFqjxxG4H0kuhHb1Ewnh2w3S5rDOTMZ+a3P3+PPPzrjxW6gUN0K8SbEDufGMrRJgZQFShVRTIylcFZrg7FzzKTh4OiY1+6+ztHRTZbLFWePP+bh+X36oSU7T4xgrELkWBCBuTyEixhRKpO1QmVRiv85MbcVlUn8j//m22wGz//t6w9xmfLnvdv/+fLgW1WKFEu0Z3Z8zNCOxDHQux1KJmISTJo5MQ7olBkCJOEgKpKIWGBICWMECkVVWYYhAsXnkPLe81Ga7ghdLLRWKnLyRKXLdk4Xq3lKMK/r4noRiuQGpDT7yWp5SDRQJr9aoaXBpcDEanwq/Zeha8kp7ztRmm23ozKGpm7ohw6hKnx0HMwP+Mrn3+Dd9z9kbHecLA75zNt3+fjpGe99UrYzs8mU1rtCfZKlrBz3QgUlNRnB9es3GEYgesZxTSQwDCMIxWx2SOw7KlvTh4GYQ/FXGLFHFFtm84b1tkXEQFayCPdEKaJmk3n1+nXGseP8clsM0LUl09P1AZDEvOeXy4ixDUZW+DQSUib5gJRlECasYdx2ICS21hxMNOfrNdNmxqRpWK/2MTWjCb5sy7NU5JTQKhcynI9YbUpvoZkyqSs22w1tv0WZusScVPGJuJDIeWQ2PWQcPcG3RFGEfFIacvYoUehWnhIvylmgKO9jhERrQ8qlg1CJ8t+JBGiUUciY+fQbtzg+mvKj9x9xsd6UrfYYyFKTcyalxHw65d/5m1/i9PSU//L/+0eMbcfJwXV24xbXDyQZaSqDVZpxKK+ZqSuCjMhYMY59uQaaGlLg+tF1xm5H60bsREMStP0O0v69USmIhqOjm2yGK9rNEp2Ly0eKTMiG6DsaUyGFKAV3I3BJoIxmOp2xurzEaF22JcmjpCCjsRZuny745U99lWfrDd957x1C8AwuFxTq2BHC/3Cx9Wc5nv/Mh/jDg0UJ6KeCQwteoITEiEhlDbuhkDVS9kiruHsw5WzdMcSEyhIXx6INRpCigOyZVoZJM+X51ZJMuSBrKWlUhSOTUuGQT5sjQnYMw44Q4p7RDlkKTo9vkOPIaRVRLvH+1RZhC3GiqmfEMJSnz5RBCcJYTFwCQfKUWEl2LOYz+r6sw5W1GDLT+Yz1rkWgySmCjCAhBTC64BV/su7SWmCFYgiFhqBUTcq5aMn3EZvGSn7h9glfvHuNr99/wfvPl7Q+7hFzEiMVCcngB0xVYfWEV+6+yrMnH9OPXeECVw3D0COMIbmRnEGljGkUtyaGz7/9GR6dDzx4/phNvyv0jBywckJdySKRGCMhJJJUTKqKGHq2/YiUAmvknu8vaNSE2WxG33fEmPDR7fmyEWtq/NhTVQ2/+OZbnPdb7j97Qa3KQXs9dIU8oQ0pZ7SgUAOEprKWXbdFG4NC8eXP/VVenD/hybMHVErShoDWqkyEpCTHknMUSkEotr5MRmqBEraQkFzJHGqtMLpCRMdbb/wcdtpwefaCxy+eEeNAZWuGoQWlUAjmx9fo+y1uHNDGIkgEJ6i0hVTU6kIZ+rHlxvXbdO3Acn2xXwEq6uoI57aEkKiaCQcHh5xfnRehSs5YM+Nobnn9pGGz2fDgqmdMjp974zNsdxuuths2u20pduVQHpCSQCuNT5nGamLKtMOIlpIxRGqtEBoi5eHZkvcX3ELUqWuNGx0xZWZH15nXcy43TxCpTHODKyt+WzXk2JdJFRR6u6p58/bbvLx6wm63xoW8F6JYhFJoPCELbFXR9z2nxyfstpeEAFIYlKrKwxKSo+Pb/Mf/4H/Kg2//Ht99730+OFtDVXHn2qu8XD4hjQOoQsARFA+BtRYRytTHx1I+PpwdEFK5JfzkNcokQDH0Q3m4k5IqF/KHrCakrsXFWLCeKhCS5CfoPUEi5oxBYHXDGEMxKeeMbiY0QpZscAJpalzyeO+pqooc/V5WpjF6QhKBSWVodzuENBxMDlgNO3IaqaUiY/E5kIJDmorja6/w4tkHGCEQqljlBYJMpIwmJK+/8iYPXjzDuY7Z7BDnHFMtcUR2bYtWthzwhSRHxbSZEhg4PFhwcXXOdDZj2/UlLrCXmihjUUBy5aBeW8Poe5pqWohQ7bJ0eWTCmhl916OkwNYH2EqzXl2RCaWMlQRZlDKsT5lGS3xKxJ+s16XhYDpj4zpUhlpWLMcNCE2laipjaLsNIXuUVEiRiVlwOD3E58g4duiq4XR2zGa3ZDf0ZJ+prCVGRzQaGR0TXdOlkpMdXaR1HUezBbZasL46R5oS0zR7JGeUEp2gD57KGIYwUu9FfsYYyJok3E8HGkoKRIbFdEE7jhhbce/ObVCa5ZVHJcVm84A+DHgXyCmXbgUlviGyRFcN49hiqgpiQSTPbMP08BpXFy8IjHz6xgEiJT5ejbSjo1IWkRNCpjJVFxItNbvQUiygBpSCoHB+QKmEMgaSIvqBlBNK1CQcMUusUeQcSXhk0Lx62HDv1infvP+c2lbs+gGfS2co5YgWqjzYQ4EpaIGIAiR4N2K0xlQ1Wmi60RWPhYuF5LHP/4pccH4ywGI24XK7RUiNyALT1NhqQrtakmIhsVVGE7NE64RSFUoo3DgiVXGHvHn7Bodq4PO3jnmy7pkdXwM94ff/5BssB482Ej/u+y0pYbTFhZ7gPTEJalvxG7/+60SVeeeb32d+MOPx80fkGAEFeT8oQtDHnugKWUbJjJIa7wJazxj9hqpu8OOAEXIflSyf5RwEk+mM5WrJop4xbQ5Zjxd4V5CsISYmkxLj8U4wmdVcP5zyfLWh7TpkLgLFIlmMCAx1Zck6EQdfPApKEjK40XN8eI2QE+12U8rYRpdrQ0zlgZ2MMYpmdsBv/cZv8qdf/wYvnz7G57Ip+YloT+QSf5OydAtHX4yuwhjqqmZ0jpQTWkkQAufG4nsRheqVACEylTVlOOcjyYLNxeMyercnos145c4d7n/yMZtxQCDLZkJItKl+in5+8+4d5vPrfPjgPXZDS20aXjmo+NT1Y95vV2x3juAF167P6XcJPwxshjVCz8q2X0WG0bOYntAPW26d3uBwpjk+0Lw4W/Phk5eoxu6x3QHc/t4nBVZLYigDZ2TBCo/9yMGkIYaAiwFjLWiBUJqxH0q53Uh2bYcUljonTN0QfI+pNLU9wqjMy+VVod+JhI+Jrh/LveRf8RD/M9NpghdlFZgiOUYaK7hxfIvTk3uMLhBjh9URo0GExPllB0kX6Y/RHEynSDIherKCanpM1BM22y2ziUVJydwYaimop1OMkmjhyWR27RXdbotKAisVJ/MFxhis1rjRs9y1fHi25v1lx5hKk9yFIr1QpqJSDcpWWFkyYcGBS4msBDpnbs8OqYRG5rzXJ2sQhrb1yH0WMaUSoVGytPJHlwmhyEaSj8QxoBRF3mAUB7M5n3n781hpICbyfjrzl4/O+K//4n1+8GzJIEQ5GGUIKeFiwfAdTidoUcQzV+cXeDeUm32OdLsrDmcV/86v/go3jo4QVtPMZ9xYTPjlz9/hV96eEdwlYwxYbVD7YooxFb/xS7/Mz73+OrUxHB8fYnTG1pLZtKZWoEQmS2iqA3Q2jMPA8/MXdGNL70spJpNBClzwJCEYg+P+1SUhOo7nc5TVxFBscEoqdGW5dnLM6eGC0XmiH4t8I4HY3/Tef/A+F+tzhCroKLWfBEoUZr82jzFiK4tUAiNlmTinghITIlIZhWBP9EgBlxPn6ytc3HK1vARZtOE5+GJ8FBIlJN36Aon475nsSTCpGxaLBcpodtue1XpNdJnkDTHEPf+6IYRM35VSogeEhG27KRPYkIgp4N3A0A9MJ4bf/oXXmNoSr3n/4cc8fv6S1a5FV1URmWm5v9gV+ZMg43yR61RKF/SgzuwBh9y5c5fa7CM9yiJMxdHREcfTOQfTCUoKku8Zxw0qC5pmykRXmL1yHBIhJQ5nNzmZXkNlQRodD5+/y1v3rnMwm2KEKbGa6IhpIKSA0eX/q4miw9P7XDYzItKNLTk4oork1PO9b/8Bj8/PuHQDmNJdaOOONAaQgpADTVNTVRpjBWjJyfVT7HRCjJFKSxbzOQAHizmSXGgWyXL9xls001MkmgqJaipcTsTgaQ5uMDu6SYwBkQQiaxSCnBx+T7QanKMddoTYowzcunbCZ+7dxKWBkchAxPuRHHx5wA4RSckYWyVRNpZrwc6TpUHqmlvXbnLj8BpHx6e4/c04SQcigS/4xHt330QKg5WGLALkUGgF2nAwP+DF+TO0jygBtyeZe3NNM2nIuWABUyioQkFA68huXOODZ73d0ijLMIyklAi+ZHzHIRB8wo2JnAJGwnrcErLgKz/3Bb70xc8zmy84uXYTNWlKREcLjMp4tyHnjrouUcYcM6aeIGQpCh4tFuhalTiCMWSlyVKxGUassEih2eYeqSQpeyazmv8/b3/ydFt23mdiz2r33qf7uvvdNvtMJBoCBAmKBElTFEuiKKlUthSqssOOqHCEa+JwhCf+BzyukR1Rs/LAE4cllay+ZIkSRQHsOwBEk0D2eft7v/60u1utB+sQNaugQgzfSWZikPndi3P2Xut9f7/nUcYipcaYCqUqci49gGW3KjCz2pJ8Zj5fUE2mpBywk4bJYoGoFAlPtoohBJpJ2XgeLBYcNQuMnjCfVGALyCClTBQ1Uk9oTPkzrGqNrTXTSYMSExazQ375F36Z01u3StYcUwzbIRIQrLodbvSYbDg7O+PFyydc3zzmYvucUe4ntQKETCUuJCTS1iijCMEhkyS6IshKxjAoy3R6B2MnZAQfvlzz/Rcrmtown1RkIalmt5BZcKsS/L237/J337jDqVkQ956BmDx9v6WsLASEREoF52qqKbU1kApWMcbyWRCxHNZ+9XP3+M9ePeDtu6/yV3/hr3Lv1h2mkwnW1kXspVTJQ6syWNJZ7yMqCqMtEosSiqNbr3Fy67XCNLe6yHeEBhQhCHKSCGu56TpqY9EokAqlFGO3hRyxSmAkWKWYVROi80xF4K37Cya2OAaGtmX17CX/+y+9xv/l7/48P/3aPX7z2z/kN7/1XQZXpsSVnVPrKXlfvm3bLSmWy5gxGlVrFlPLL3zty8xPj5HG7suTZl9IrkgCtDlAJoORAiszOYLSDXY6YUg7skiMYUSZCqnqIrXLxd0QU6Tv1lit8Yys+2u6vsfqBrJGIPEh0Q8OZOSnvvgFfu1nv06dC0Gnauw+1lY2HUpbBJLj01u4EAv3P2SEz1TaELyHLLDTKUppJrMZ88lxGXJqQwJ8KGXe3/nd38O1K969c4vbx3fRopB9EJlqOkUZQ9yjaKWtCOUEiXMDMcRyQU2enCN1ZQq6NAeEzEwbW55ftmJSTYkKTg+OmSxmIMGFQESwbrf88P0P6YNkUs+o7RRrDVqBkrA4OOHo+A4X65ZPHv4IJQaOFhWNjXR95PlqidUVQguOjqZYEtMpHM40B4u7zBbH5XvritHWpb50ObotB7Xkv/6VN/hffPkBBwe30MISHeD2501TcffkPm+/8S51VREIpJjIoWxyQoooY0hS8uD2ff7a13+euye3mNU1lW5QeYoWGkGgzZ4uOlz07HrPxfKczXbDQlpmUiCEAPZJkL+AX3/uTHxT17TtCqtLycL1nut8hZTslcqqmBZN0W+PoydGTzUxvHr7NsJOuLi+ZAiFBKOEwLuIlZbBjyiRkXXNbrflpLbIGFi5lpDKArcxNU01oUsD621LyH6PzwoIpahVjU+hEF6IxBQJWRB9x6KZMPa7sgKcLhi8L3hBrcBkdKPRGU4PDMke8/L8imEo7NnJxDIi6XuPTGVqFn0goxAiEWMxqFW1wVEm7yZLtrst4sUz5lbQ9hk3eMIYaKxECsWwL0MeTStuXI/GoJXk+GAGObC86jF6ICVHPZ2S+5Zh6MnaMA6O9XINKoF3pJz5+s+9y//qlz/Hdz8+52a3JkVfEGxkrACtBULDetMznyh+9kt3+fRFzScvVgyuZXF4yKbblYKJHwgiElKh+KSUkDKRUgBRimUhOKQstr1Jk/k//29+hU+fnvP//tffIiuN0cVAaaRg3PVkEVG1JvqEj4HJxDI1lu2YaMcNVT3l5PiQ1eqMFBKlPZ3KjFlCrWtyKPptIXIhLaAYw7hHEZbiaEyUrGlladtrtg8vca4g0KIXTOoalKXv14Um4iNC5pIPlZLFwRF917Eb1zTTKdPJgu1ujaoqLq6eAqLIQEZXHnpSorVFhlBy+KKw/wUaIRu8i6yHlj/86DmPXmh2cT9B9pHsx70ELFJpGMaIkhW7vlAIcgJtK/pQOhExRaySIDUxJYbNluBGTCVIUbGoMz/71Z/glbu3+fTRE37v299ht1nSKU09OUQJxe07r3J1dc4mDIzjgJCCXbssDxahCGmAQfHRw8flBWghhkLFMZUiC8F2u0FSxGfdzRKVFaa2eDewmB7gQ5muXd284N9/6wYiNFaWqJIQBdMpHUZrmvqQfrOiqjVjjKQ8sGo1wodS+k6eTdtz9+6rnF0+RxmLToUqFePIwXzOJjh8HhjdSPCBsP/rwdEhpi6xMJ000W8hCnJW+OxBCJqqYnSO6CNJeHzyuL04q64NYSgEiiRKB8eYmjGUMqscPE1d08mWFBIxBl7evOAXv/5LSBX5rd/7BslZ+qzwakTmyJPHH2CsLRe/VC6qQqT9hCbTDgPv3D9lve243CV+9o3bVMbwz77/iOgLkSIrjVI1EJAy0whZPof1lDyM+HFHpS1el2zrtJqwmC9o24HdboOWsax/Y+bb7/0QdCIMno5c8GnOYRtN1Zyg3Jbteosxdbl0pYwIDmNqhmHDenuDNRXSC2oUQUmaqqbvW7wvtBWRynfzoKrotsvC25d7bO7+3XE4n9A5t0cOOjSGjx5+gDRVyaTKwGZ9A0SslhzMF5xMJrzy+huoDGc3F7TbOUPbc71ecnh8C++BNDAOAxGLEAqhLNbOAMdho/BaMZ0d8ej5GRu/LVnoFMg50DQNyIqxWzKr50ybBu+2bDZt4eb7Abuni8lcBjWzZkJla5xvgYKuCz5ipWbIHoJBVgrXrwmuZVIZNJlNr7CqxqREZiC0LSEmXpvM+W/+0htMGsun/6plmQe8L+ABu7dNJgWVakrGViem1QzvR3ZdQKcyHJBZkVJAkvnmpy+xleDRBm4SbNsObS3dPhbkQ6FphVgOwMaUQ3mIpZNglOH1Ow9oMdTN/ueoNBNd45ynHdt9odly+/gW08WMF0+fM/QdxgrevHOLbhx58uxZiY8EOD06xQ2JXbfhCw+O+d/92hf4H77xPt/64JKEZZ0F//RHL7nRlveeXTAOER9GvIAcMm27oVGKMQm8d6AFSjTk5At/3Xv+4NvfRcxvc+/B6/zoe39IGB0qK7SEO8dHPL65BNkihMCLSE6gkJDKwbaqNOMAKSQGRjSl9DrRFSdHt1jvdrR7qoyJBq0lVspS4heUeKcrBvgsMj/67BGPn71g0zkOjw9ph5aYoTIThtCjJAQy509fIoAYi0DT54ICjn4sm0EJkPG9I8ULlFJkFbFSolWNNhKlM7dnd0rpUgSEzuSgmSiNHzboZsatg9ucXTwrl6umIqa8j/LlIqgKeb81C6g9ojT6jLSKiWm4e/oGd+68xmeP/5S/97d+lYdPnvDr3/w9spR73Pa+I5IccRCkVIZvKWeSH+lSy8nslHltWMWBN+/O+Ss/+SafXW745ndfcnnlqCeOw5nl1TsnnDQl+vx4tcJtDJWYIbqepXPMbt9mtx6RMtD5nperNdc7z+D6QkajRKX6GOjzgDHl8tm3nhQkMUAQJV2irERWBjeUTe9Xv/IT/B/+6/+S/+c/+hd877vfY916pgf32D4s79FG6yJ8MzWZTBw89xvLT98/ph97vnO25UwIEN1fSC7+z32Ib/stSii0MmQj0KqG0ONjwCjLxJQXU4qRnDym0vhxJCXJy+UWpV2RPA2elDz97pq6WjD4svaWQtL2PVbJchiTEtXMkaHY9RKZMfVoYXj7jbe4vjnjqt2QUaTkcDmTKIW5lCXT2YQQHIQRJzWVMGxTS1UZJkrTucSYHELCy9WaL58e8n/92z/PP/jOI549H4nRkYSg60txUClTstDBk5IsFBWtiSkwmc6ZHi24WV6jlCb7SKUVQ7fh1eOapVAEPeNmtyWJQJaBkAeOJnO6GJnO5lRSsepadm2PUIpKW4SAcfQ0as445PLl3DfU/+j732U3DCQfUJXGJxi8Z9c7fEy4MBCFQiSBEhWDd/yHP/ouQ7fjlZMpf/0n7/HO/TnX39hx3U8YfdyLYyD5HilL49z5DqM1SmlSyvuylcU0ltvHp1yevcS7xDgOZUpEYkyee3fu0u9uaHtHO3hs0yC0QadAiGWlv+sdOVIiPlKxC4nBj1S6TMKCd8QAxpbMXIyulIxkKplWV9TLMZUDkdW2yF1ExiWJ8yNaW+pZw27ToZQgmTK9jxGkkYRcSpNSm2Kn6zsWkwk6RpabDUIrbF2x3bVYKcmVIfQDITi0MvjsiH5ksTgmjh5hFF2/Q2qNGzuMqqikoQuZjy53SCR6jw+MaBpT0UwmDL1DUg7uIis+9/oDPnr8jMGH0mZXpYSYVN6XMiUX1zdYJXF9RNWGZrLgc2/c47VX77LuNxwsZnSjw2owOfGrP/tT/MLXvsh//z/8azaPXqJ0RhpFCpnBD+RYDH6Hh8fc3FwV46cQ5CyJfUfvVYm9iUKjEkGgtSY4T8qWKKHtN2UyiUYa8HEspWcm/O2//nf51ve+zXq1JGtfJuBu4HjWsHWlMJR9YNleoZXCTmq0i0QR2azX1LrhenXO0dEx3o08f/YRGk0QmrqqkJQya86Q0ojr1zx4+3Oszs7YLW8wVYULAYxCuMiknmNtKS2lnHlxecPLiyUpy5KHjANG1TTNnFwl0mZkDMWQaKUijNB2kXpyQvA9Uw3tdsXv/P7vMG1q3Ogw2lIFzehaolWlzBo9EJFKIcU+XpggSxj8yEcvXnLr4BiU5hsfX3L/dE5VW25PK0DzbLkmEos9e7/GHocEcYTUQRa4cUST+NrnTlh2kcdnK3Q9QYgMpkJrmFWKru8xMnKwaLhe7wq9RyaUmHE4v831tWM+1QzDyLAvRsrk8KnEGhGBwQ0ILCl7rJgCgiwDOUp2Y4tUBqVyOaTnQC1kYW/7iNSgtCpZ69EThkIrkzIynRuyEPihUEyKnV5wazrn57/wBW7fe4Wv//wv4l3mN373G/zgh+/Rpz3vve24f/cNJlbz2eMn5VlvK2aTY0BSGc/UHNCnwPXuAm4CXjg0Gi8CQljiGFkc1WTXEIJn2V0z9p5aW44Pj7DjmtN5xQcXLbAXSyVRSqIYXPbEEFDWlmJrlmgUu9Wa0LfolHlzOuVX3r3N/+eHl9w5fJ3PLj5hjCPWJIyyXI6Zbzy6xMXI2dgTgKw1h9O7DOOO3e4GmQWtG9BGspicsB02SClopg0uRASeSEAogxaCj683e+mV4uzsKfhMVhkly5YVrUglWIjPqURJEdw5PeXq4hoMPD97yRgzSgsqLTFZM/pAP3ZoWUhEr776Fn/3P/9rTCcNf/+f/kuefPqI5Dwvz69Kp0hZhNJE6RmCL4hTW3G2Gfn9Hzzn/LIjiUwznyK15neeXvPdi7a4E7IkJkHKgYk2DHGk98VSW08XeN8jdGIcRJnEm8TF1Tn//t/+OjpnRJSEUGKjWmte3rwgZ7Bqziuvv86nn/2QRPFRhDBiZSa40hdQUlJsMpnsJV1K9DfniFCePdZYQKCrir5ziBQQxuKHruBGdU2Ogb4vW1ptJclDLSa0rKlqgx89PoeC6g2gtCH5QKCYY8PejaOQ5V2WQSZ4cHuKnp2y2bW06xW3jw/42a9+gZ/78jvcPTzht773Q37jd/+UqmloNz27waGtoF2vUF7QVJM95a0vnhRRJF4SDdEzqRWRTPaF8KWNZnF8wtj3XF29YL26oQsdv/47f8zQFZtpZTMhwHQ2wQ8e5weSlJhmQd9tyDmRBUxsJMUlF93IpLF85fVT/otfeoPf+/4L3n94w2aU3L+3oEqBt44FP/32KRe7nuVHA6OvuTe7RZ0D6+0aFWtq6eljpvOBm0Hzj775MVfLJUcnx7y8uCJ4B0IiUiF9Pdk9pDYaUizkP+8wprhJhj5RacFUW548f8E//B//HR88/IwnZ+eEkOj8lizYd3yKrCxHh9SSeaX4K++c8n/6zz7H+Tbwf//ND3HnPbttqVT+/+0QH3MsWBxRBEspZlJyTJoaP3i8LxZNlTOjKI8ApCK4yNbtMKZFyBIEENIibCbGnigytbVUSrJzjiwVZ1eXSKPphq4URIwqlI1gCXlkaFtsVZG2mZT6QgBRiUrPEYALIznKgntUEhdGpDWcNkds2g1SFRNqTGWKr6XkfOf4p9/9lA+eXhN8JEZRcs9aEmNGK4HWDTllKqsQOhb9tbEkF1hfLbEK+hhpplNSKpbDz6623D65xe3FMbuhx4dMciMiQ3AOkRW7MTPYkiHcDTtSNgVFlwNSSla7TZn2KIVMRYIx9mOx12lNRvGb3/qURy97LjbXrNY9Rk+odCZkQVNNubm6YBx6dFNx3Y/8u+8+RRlJCIrQ9SASKUSSlSRRlspKZlLW2GbC2LUlSlBZgvMIKVhfXzPGxGrb8t//kz9hN/Zs2xEtLcubJVLE8sGWMHQt1hgmxnJ65y5Xmz+TxgiSEPjBkfW4L61YfAj7QnJZw4Zc1NYHiwNqbTlbnlPVGu9SmfDmTCMMfuzxwbGYHNK5SIwdYy4mwIQiRHCDw8VYcKQqoVVFDJGWAdUP2OT5wit3+Ha/ZIyJk4O73Dt5g2eXj9CNKtpmvRcPBYGUmt1uUyYLuUGEhAsj6seMX4vIDilKybpktTWVLt+r3nX46JAaYhoRyfDi4oYCeStbh5QTKMnoIsaUnoNQpbQqkiCPgYurG37rW9/jtWfXPLu8YNNvgACpsKN7t+OHnz1ks9uVKUoukxYlJLU2eOkRpiLbKUZv6V1ZTWut0VaVMnTKaNWgFFTmgGo25ebyaTGzKll+D0rixmIMVjEQsyBmw/W6L5neFKkrxThY/DCgDuak4EghIbKgURUxJ8auw0rodyucbMlCo3Q5iAe/9xUkgdFgpQRpceOAMjVhdHS7nkfvf4iW8Lk33+RmvaQbW2QKaAH9sCOgsVrQj4XCI7PEA8EVO6API8OQmVQTAokhdCilmdmaOGwhO4a2h5wY8oRbt9/h5uaMvj8vcSq/QqoKqctLkAhjLGSf05Nj1usdWe6pPTKSVSQF2PZbjhYzfvXnv8rdOxN+/bc/5MXTx/gImVCeUSGWDFfskUKjsKUQm0tv4rXjBSpkprJBG8fR0X1yDNiqZrm8BDvFp3Lp95uSvxRJYawlxMDQ90X8ljVmovBtRNcGnROjG5BZ4zMFqWtLZMklx7rdlSmlSjR1QxgDwQWk1lhZFaeDFWSRIO8pPLLnnZMFH5yvUEKQrWS57TmYHHI6P+RsdY73Zdq9HTxXu5bXZ4fcPrqPT5LDk1dpx/cIKSFSYui2XJy9BFXkZQdyQj0/IIuGn/ryT7GoJdvtho8+e0gQx3jbo4WkVpHu4hIhEs1izttv/yTnLx/x4uwh41D8IMEoJvWMsd+itWQ+mbBeLUmqWCtzVgijCkaZhCEyO3yFXbckM2JF4chro3ix2fC7HyfatuOh/4whOWJIjKlEnx6nzH/3R48xRrFx5UKfcmK1OkeqXARARhPQhOjo+w390JHiyHR2TG1rXNgihSCGEhHT0pBEKaqTE4lEipGqavAxIZX68WXYCIM1FcPo6a8dh9MpffDo5gDlIoO/xE4WCBR5cEzNgkyPF552eQYh0vuKYXQFeBCL/d2HiDUGFxyQscajmxlit+DpzYbVd5+x3vagQDpPcGWiPgAuVRgL7x4f8GR7xdZn5pNjaiW5bneF3GNN6dQphRCGMY5UVUW3u6YRmgev36P3O8a+GNq1MnjnGfoN5+eBST1hcC1ZC+7efsDF+TkiZrQUIDLGmr0gKYCoCqhmj81WUiCFgeSQqpB+JBlZWXJSpBQxVjGMLQoFWuFCh0KScmLXbZF7+h5CIaUuWy2RkGqCxtOFsN+QqwJQyBmhM3eODvjK13+NTx4/5Y++9Q2G4JG14e7JEUcHNXdOZ9y61XD52ZpaFXGWTqUE2rkNd06P8KNj6BS97xFAluVyKkXGp1Q2sDIgczEld+tr3OjpUqbRHSl5Pnv4GUYb6onBO1cy47sBlTIhqRJDcuN+Si+prUTKyEgo29DO8/7zNf/4m494fLFi50e8y6yvMvfvHvH63Qm/+OV7/OjTS370aMdLt+STZxesO4e0moP5AVdjh9AaHUasTpytMxerjvv3jgrDPWW8hzx4phOLTcV1ZJLE1DNiW+zvLngQCZ8UfvR8+PAxD589xUVH3pN8wuippGHwI421ZRtdCRptydFz2Y70ISOQVPWEo5nl8fnzv4Aj/H8MnWY2KzcvpXC+ME5jikyqiuA9XRrRYq9X0AqRMllohFDkXED5TaMZXZm+5pjJMgESqSXJj0U9HPYIpUoThUIFR9YQQkIJg1KW2k4YfU9MMPRrBBJjbEFXioCoNDlkggtYIXhw6w4vdyt8P5SJpswYWTG6Ee97tC4lXUFCIegSVHbKOO7K4SlL7tw5IWWNTIrZRPHo6TNAkkR5aWQlUcbih5FJPSHEQBxHVKWpVFU02yQSmpQcQplCAMip0CNiJLiBYuwuE7qYQxEKWI0QmsP5IRfX54UKYicMOGpboV1kPTqmdkKQxVaYRMngFRasJkVHKoMEdDa88uCQZmp5+vySdteDKD+XkhIfIjpLFgcnjM4xZg+hxxhDGAOmrglupKoVow8gJMpKUp9IKXLnzlvIJDm/+QyhBEqYIjaRillV8+b9t7hYLzm/ucIoMGZC0oq+vSrjyFRoKIEyGPqzwk4KnpApN/eUqIwmIZGycLUFquC8RMFeHcwsWRu2bU9wAxFVJsgxFfyYElg0QiSCkMTkKalEkNqSM8Sc+Mo7XyUKxeRE8uizR1wvVxDH/TSyIvmM1TC6sVjwdPksGVUzOIfIAmlkKVHljIu+CIH2G56YSqnRDcX2iVA0VYXKnpPj21xfXeLjWIgBuWigkeB9JGRZLlymWFtrUx4gUpUXpFCCt+68jqwNT59/RhBlUySUIOVSPEuxZ1LNiEYXapRpyDEydisyRWAktSDG/ONOwMRU+BRAa4qjrIhQBBIhJUrqcslNifl8yjCW7950ccK42xFChxB2T96o6LuOLP4nDXUUmaqyyCRJ0eMTZFEiPAXelRBJkqXGpwTJU1UTKpHpQ/EP1JMG13dobbh7cspm27IbB6ZGsGsHPCV6ZZXAhUKwESKhrSlrYgAJOYCpDa73RMrPp3V5TqVUnnlWK6LQNPWiSO8kDL7HDT0VexqMEEhZomJ1VXN6fIvJZMpHn31SiFuyRNVu1wuWY4uuau4dL+jbjqvNDhEzY4pMm5q2bZFKUtmK7bYnKYGtJ4RxQEvKISkngiilzpQzRsjyz6KYMIWpmdWazWaLFjVGRhbziqt1h4+J+XSBFIl27BlzxuZywRcxQk4lihQpanZlGHyH0oa6MSgnsY1ivjjm5dmLEjVThkoZBt9jJxY3DGjRcHR0j932nEok1qODXLYL88M7gOLw4JBHj98njQKMp1KC06M7fPGLX+WrX/4y69WK3//+t3j07BGh9yiRIBWCTpehtobF/JCjo3uY6SGf//zXqHOgWz3l+dVzLlYdgwu07Ro3bBj6AREzd+88YHNzRQojXQzUk5q+G5BGYWNgPrP8N7/2K/zhR4/4gx9+ivNDQdRJCUnSLOYk74kpE/1IkoUOdGu+oHU93jlccGiliCKTQ6SeTNBK4nxGuR4vC35TUy6XUqoCM1ByL0kKNLOGo8NjVssrXBhxoy+Ff62YTw9o6jlD12FtYr27wUhd+kkpYE2FlgqXyvfajyPGWnL2zKYLyIp2d0NC8urRHX7lq1/l3/zpd6imhyxXl7TtNfPplKP5EX0/MkSByz1x9EgFbz54FR80F1dn5OQYRo/UkhgCKXiikhxMZ/ydn/8c33pywYvzjnFI+LADlWmspe8CQoj9oXBS+jxh5FZ9yMbfsNqO3L39KtPpjIvVJZvNsmwPBEhZenNSKA6OjtjuVogQuXXvLpvNGtf3HEwOuH3ygMdXjxh2LXVVI3XBSw4pcTibUU8WjN6xu1mSTCT0gUjCqJInDnFfNEdQYTg6OGXVrxlCD6ls+pS0TOdHdLsVViUG57C2vC+C8+UCKEUBfAiJkYZhGMgSrJ2ifEkO/KUvvcn7j59xs+vKdztBQqCFwRjF4uAugsRyfY61mqP5gtdOF6AT653n7PqKzdZDUqTkUSIz+EJVIUsSEWMkDw4X3Dm6y+OLcy63a6qmojE1q/UKoSTEiK0rbLaENNC5kUoo+lyYo7dOFvyNv/HX+e3f+mOePXtGzIlaSaSyuBgKuUsrUkjMpzV93zM5uoUbA3GzZTGbUNeW3nUMGaZVza3ZjHfuSn7uC3d48+6CHz1d861PbqgbxaKy/PofP2R0EW0mxdTuBlIYmdQ1qp6yXl2RZUYiCFmUqF9RRnO0uIWtYbVe0zQLNtsbBKps0QBScRZJKYlRInOmmVii1Oz6HSJpai3o3VDIQAaEaDAyc6w1X70756YbeLyLLPuRq9U1Kf3Pz+L/Quk0VdUgRLEMphQLni8JksgoHxEilwmuLOWVcehRpi4/hEgIKbl9eI9d17LbXZWihyiZSEl5MAkFd+68yV/+pb/Jb/6Hf0m/uyCJyBgSWghSjiym9zg4OOLs5jkyBMZhRBiBFomQCudVqYw1c6SAcdggpEYJQze0fOGLX8dWlo8++EOiGwkpgS6uapsFIcSSOa3sXoAiEVoynVmSCLSrgNWSEB3ZJ5IUJd4gBTklrNIQQ+HIV4bexb3aPSKzJhlB3hs8ExqTS7kPAZXS+FQIONFlJJJbt+/wy7/0NT768DO+8vbb/Mtv/DZRRe4f3+KzT5+grAERGX1gWi145dXP8fDxe4y+QxtTbH9GoYxiNnmFdnVBToEsy8/qfaSPI9qWybLMGRdGJlUNypDGwJDcnmkdMFQgC/EhqFxcAUmgJGWqqwS1neKi36M7DV947V0+evaIbhwwIpcDZoocHt4C37NtW2IqnyEQaAEhlj/TEMNeaW7RUpHYi4UGj9zTBFL2jIOnrmt0VTF2a9599T5SKc6WW1a7HSmULx+iHM7Svszx1vEhOjp+eL3a2+8iQgpEyghlIWVmzQRTV/zyX/5Z3vvh93n45AKXMzJGam3xzjOf1KzabRFXIUgp7AssqmBTjQVRiEvBB6QWaG2ZNWVK5ceMVoXkk1JAUDYvShl8KJKjKARWJoiJIcY9c6OQHSaTim3Xk0JBd6pUDqMuReb1HB8c9fSIo1t3WV4+pdst6ZzbM7olB5MFt48WYAQfPX5BpRQxjYyucLyTSIicyVkjTcnxJq05PX2Ty7PPCNkDpVSuhEQrwZiL/EQLgdQWpcqlKI0DoFGq5Et9KMbMjEYpSVM1pJzKJUmWD8OYMrYqxIpE2ps+J8Scca5HSMnRwSlGG84vn1NV5TkUgkdmQaaQr5zzaCkJMpNzopaaMWY0GW0M29FRTypkiqgoiAKq6oAYO4J3hR0uC7bRu4yQGYQopuEYCTlxNL9FoBzik+u5e3zMzXLLEAeaqvQkYnIYKZk0M1wKDL2jrusSV7MlmnB4tOBmeYXKkknVUDdzri6eEzMUy6gsETVlGEtYF1uVy6eIGalrckoIBYtpxXq9Lei8LFGqQoiEUaoQR4ziaH7IyeGMR0+fE7C89fprnF084epmQzVp8KMrl+sUIAtqU2yXpprz5t3Pc3X1Kct+i6kMr53e5o17d1jvWj5+9py26/BSgff44NDaIiibhLpeMA5bhmFAmCLk01nz1huv8PzsgtFnRr/DSEXMgdpUpKyZH8yp5xWp84BkvV6Sg0MpW2ISqnz7tDVUB3Pu3XnAvbuvce/umxxOKvrhhocXlzx9vub6eoMfdrjuknFokTJxMD/i4vocIxWj62kmNdvtrmBHiRgteOP2Ha6utyzHkXH/2YppJIZIVddo0xDdHmcZMgeLA1wc0ULx2sGUx+sVKRXtvUyCQKZupjgXiL5FKk0lIJVZbtlWiYSuyqVSaXAJqqkl+4Bznomt2bXlmVHXDQfTA8bkGYY1pICPkETxYzRmwuJgwXJ1iXeJan9zzbr893IAKQLOw8n8kF/86l+iT55v/OHvE1JHShllzT5ukUgi7Z+1IGUqQ6hmzmxxwvX5E2IQxOyIsSjuJQXuYFXGR083wqxZ4FxHSgUWIaVltrjP/Vv3+fjT7zGZTKgqS95jh5eXzzDKoI3lK299ng8+/ZB1vyPEWKhPWgKa2k7o+q5stQUcVFN633LYzJg1DdvQ0raJ0bv9ZVQXt4Qw3D6+xxB6VpdXYDLJRaLIhb4WPFKWZ0wtKpQxzBcnxNQzxo7VegM5U9spEsXgO7LUGASj7wvRBX7cN4s+oaTCNLb08CS4WMhDOY408xqVFSQYxpGwp9qARZJQOmFEja4maCvpxzU5QG0Ed28d8eTFDT4kkpCo8sotdBsNEV2wnybz177yBX769Xt883uf8kefPClbfyFIQ4ttNG0fmM2mTKopm+0lKUkkmoBgDB1NM+Vzb32ey/ML2t01sqpx3hWcdnTl51aimOWVpqqm5VwUOlLY9xElhfCHQgi4fbDg7rHlJ19f8OCg4duPlnz4YkPvewyWy22Hqg0Pjo95+mzNG6+8xqfPPyaESMzgQ4kjJZEw2jCrT7lzeIuHLz/CjwMPTg85mB4Rkubj54+JMZAlVNaikNy91/DzX/wcv/XtH3B13bOYN9ys+/JM1ZrZbMLQrguSWSmEUIToqZWilg1ROFzyjD7T9d2PUbb/KYf4P3ecpiBOShnBKIv3kZQTtmoQOqJUJHkYvUNrgaktzgequkJEgXcd680S50uGfowFZSXI5bA7lge7mUw5Pjwt3O7gS4FRlCypEhWb7QV+XO9NeBlUac3HlEvWNAkUFT7tiDmXlr3MhOxZHBzx/PmHaFETvC+TXiOYWIMPMIZyGzWVwRiIWdPUDduhhWQInmJIS+XGMZk0tEOH1BYfRmxWRBK6NoiUmNSHHB5ZblbXRdscUlm5ugAWtFBkD9roIsLJxRybcjnUxJSpm5oDc8Bys+OHnz5CK8PBpOYn3n2TZ88ucdFBjhzNbzOf3+Py/FlhPNsJMhtElclSkXwsK3sRyTKjTUM3Dog9hso7R9M0zKopfXKEoSfngSQktTVorelcT97LKrIoAi1baXKUpFj+XqCYTGZ068tCpPCRJzdnjOOISBGXMyIGpKrYXJ2DLvlwLYr4RklBzBCiRydJSgkrNak0iJlMpvydv/nXefTZC77zow+QOdC7gcXBnOA9wziQETw+uwZtaNuRnP3+MwJWaqTSODcyaTRCCyw1lSia5yFEpFZM5ycc1YfUU4tQM148+4Df+MY3CfuVeooZkWBwjpOTO7z5+mt870ffQ6XE4CNVVTHsV+Yil3J2jImcKLm7DFJWNGaO1g5fRzarFVFoaitIQ9lUpVxsrzF4jLSM3qO14tbtEzarlpQCVgp2bV/QeFZT2Qm3asOsaYjS8PjFc1Rl+eIXfpZf+qW/zTd/8x/y/OwjXp4/I+dIGD27dsV2WBXsFhohDKCJucNYQwqxoNuMxLuAV4n5bMat269zefEEHSNJFKKU0sXImuNe6KXKxcIYRex6Qs5YEQurP2eSiExtzRjKxayPkUpKRI6MPhesqJD0/YgWApVVWePGvry8pMQYwXZ7Q2UL/YQsUMawmB+xulmSUiwvkDLGLJ/jLMnGEENHjJlsE82kwlQNrh84Or3N5cUz4nCNzJIsFLZuGLsBi8HnjhwVDx68xsXFM/LekbHZ3mCUQqTyrLi8WaFrix4U8+kxO7Z03YATkW69pGkmIDOHRwesb1Z0Q4vUNaubG1Isl9sYMm7sC3HFR6qJJQTAR4SQ2D1ve4zlIGeMZSoSTS1Ztj27lPCpkC+kKN/XLErcIyvLV770JVbrGz56ckEYHQeLiqcvLgkxcDCb0I2OFBPGWqQopB72FuLJtOFi+Zx27Cj5WcGXHtzlV37iba63W5arNavdito2DD4XPHAMSF0uqH7Ykn0s0rs98z8R+fTpY9wQ0EpBToSkyUniTcZSHh3Hs0M+O3/En6VLgyiROaklIki0lkwry9HsgPl8wZuv3OYrP/kV7p++wovrZwzf/yG7m6csRUtUnpGuFAabwtVOKbJ1A1Zn/NhRVbYgNnP5Dv/g0QukSGQpC2Peh+IEsEUMFGJHToHDo1N8zAzjhuAyAs86Z3w/IJRCiVyy2lIx+h3CC2opGWMmSBjGlmkz5ejkhJvVNcFFMsUVQU6MmxYrFbVpePDgdZ6/fIYyDVpYRr+lGwt3PIVETOXAIVPGB4dznhDKAC6JEpEwTBBaMo5bRIrUk4Yxe+Jswtwoqkoz5wjvRnY5kLVgZhS7MWKNQAp49fiYX/nCfX77g5e8OHtG9uXAIpSAWJCLVkpO5gecXd+QlUJqGGKLMYpaTvHB4ZPj9ukrvPv21/n0ySe0/ZLtrnhK5pMZShpyDizbge998AOUKYO3SpUBlw+eJBM+DDRW4JzCNhVjCjRNxeFE87feOSLmU/7Jjx5yEcrJduhGmtqSxIz5yRvMhpdMVMP5zRMwArsn2ogYkJSScZ8GmuA4W7ZoVYYSZXsSEDnhYrEDxxzIUrGYTogZBld4/WSBFGUolr3DJ5hNJgSfyEIhdI3zCas1mUxKAjuZ4IeRJEpMV4gaM2noux4TBVM9Zx02eFPx9HJFRDFrDKv1Gl1NuXfvXVY3TzGpowtqX+gs3/HXbx1w99YU81Qwmx+wWq5IQhBc6UOMYSyUGjSRTFQlvht2gYzm008+4MHtBZ+/d5uLnebFzZqd35T4bixpjUpLhNQspqWbNzmYczBveHH2gkYZ2mEgq4SoLZ13RNGw6SMiRR6e7bjajsSo6HxB2lZ6wsuLG5JUXCwvEUnh6X9MVyzDQFG2IMCm3zIGUXqZo+NwGsp7VqX9dj8QxhG0waiGVTswhrKVvNmVyNfENExszXp3g7IWnSWD79E54XPpunk5oE1mDJl3P/cuTx4/5PLm5s99BP9PPsTPmglbv6ORDTmmksfLGUEgiYgbCy9eSsnUCqyZ0BHwIRSHjakJqUcqQYwBrcuHVYiiz21EmUhfnH3M/+sf/N8IrnDLjZF4XzJ0xlqMVuQ4cnJ6zGaMCOeRSJzwhJhQSuOTK2IFLYgxIUQFMbDdFqup2osYbHAEpXEpE4eANOXLRirZUJESEY+d1swPbpPajqO7E0xT88Gn7zOEHlsbfAhUyjKMI1aWBrvRCqU041DKYo1q6IY13ZCwtkYLRT9sS046mmLeROCHWDYeSKQOLNdX/LPf+HV6P/L8+VOQmWGo+I1v/iEnxwfcrNZsR8cYRoy7ph+WpODJsiJrSVNPGYNHk2i7DTmGwnsl8sbrD3jy/Dl+jMgIQ9+hRQUoMgacx8qKe7duc7xo+NMP3ycbic2KkBJKgnceLTST+gAXWkIccG1EqITcu7AWJuMbRT9GtDAQywVQGU0Wkhh6QhJkXSQ5OYHRJTtbivelRKcqTTOvSVnifEvOntEPVFbzxc+9yUcffYbvBlIStHFEaYdSZs/bnTKEgeODe7iwoa4tUkSeXl4yjiXupVPECMmsNjhfLq3D1nG2/CHEvkxxjYYQmE4a+tCDFCw3V6RPB+7fuosRFc+uXjCdTInLyxKjkIocCwFHasW94xNUhNun9/jal77AN773LZ4+P+P1V9/h6uqMYejICpQsTPOUioTGR4exhll9jNKSnHaIrBkDCKU4qHXJm8aBVfSs2t0+pxlJLvHeh3/M5XbJ9dNP2GyviDFxPG2gmrHqVuhcuL9NpfhLb7zF880Nn56P+yyyQNuGaTNjt14zxsT6ZsmHw28XARwRoTK6qspWygVEHNH1HCEiKThiFmgtSz549ZLkysZKVqX4l1JGEtBCk1OJkqXRE1JCG4lEoFXF8eIVNu0l3bjCVLrQJEbH4eyIJDKjdyXiFgXbzYoQHXZvYExZ7KcwipwUxwenrDZXjGNHCjCf1tgMxwdzbC240ZC9KPd2DdGNZZMlDFYLfHAsly+J0SH3+VsfCjtZa42IgiADIXhSElzcvCiMd2VBRJpKkHDkDO1qS9e3eAHJb6m1xShNyJHtuEE7yWK6YNft8D4Q0VRGElJEGIXzBU2nlUXHTEdP5wsdP4ZAypG6rhFJMCbJm2++xdNHn0LOLDeOJ09e4lMR5swWd2nbNRNzwMX6AmtqEB6hCnYPKRhToLaC9fqiTOabGSpHghs5u7jgxekBIXukTKXw3fVUypJkYloZ2hDRyjCfHjP4EZMSo+vJ0RMrS44gbYlxSSHRqkQvh2HEWF2wvrlsvcY0QohkLOQRkkJN5ijTEMQE52oWZs7x9IgH917jzr23qeZzXjx5xkX9gsNK0YwSlzNBKe7efo0wdmxerkrc0kwgBBwjBDC2onMjda3IXuO9J1N6KlYphFUl1pYS84Mp47jFOfCukEqihOvYMz88pe23SKG4X2fWY+BGJXSqCpwgRqSekGWk9x63vMTvOfdpn3PX+21QEAqdIzebC37xqz/Je5884nqP/7VNjdEN23HJweERw9Chc2J6sODqeokURWZotUHnzK7boXzp9GQh6IYBheNHH3zMenvGOHa8cvwq12GJVZKN8wzJUZmGnW/LoOneEX/1nVu8/+icpykgNbgUyR4aO2FxfMDNegV2xiuvHHF+9bRk8ckFKSwPmE4OGNyG3fVzfvfiH5FVkS1pUY4v23bDOPpiByaw8wMq6SKcSmLfyfJUUmKmltgHlMnMmprkHa0buD2Z8V/9zE/gvON3Hj7ncjcSSSidGWMgui3L6yfEccVm7PAhM5sdkJJjWh2wi0v8Pi6ntcLFhJYGYsAHi0ipbJ+jp2oO0JVmt7ohxEgXyzaUJKj2WEilIQhPjhqlBP044inDG6SiGC8S0hgaU6RdESCVzVqOkbbfFOZ7KEqBmBy7XUCIXLCvAWxTui+Xy+eYOPClV+/y3sUVLgFJ8Phix7/4k8/46OwMFyM315fl4kfhxWtd4Um4YWBSN9xujliPW2JsQcC9+2/gV0teP7H8b3/tS3zr4zP+x2+c0RIZfInWNEYSfKH1bFbXCKu4/8obLJpDtps1m82Wg8M5q12LCQk70Sxbx7eGjpQ0m6EMr1IWSAIpBzY3DqFqJlPNrtsxhgFta0wlcV1EKcnEaPqhp02XsBNMciQruN71dP6KHDw5egLF/zOmwp8/u7hgs96y3bRlQzf6cobTiiEMhARx9CStkaZB+kytJSEU43CQEqEUq6slg/P/yQf4/6hDvNeSJhpiEmQpqFTFMA54iqm0nmhGX9aX909O+JWvv817j5b84fc+RKTErJ6SssXFWMytyPKyE5nKFg6tUprgQ1ml+xFlVJn4x8i0mZEy1HVN2605u17z1ps/xcv4iPX6EiXLRUFJRU57AyWJylhqXRNEYswtKktiHBDeIjHEwSGtIclcIghak1DsesfpwTG7vuOtV1/DjYkX3Y4vvnqH44MDnp3N6fsBU1lS15a8VLXnm6si3rle3ZAUSCXZupEkNTCSosMHsedEi1JOshW7doMUEmst4zgSxkxmR06JnNVeGS+JOTKMI37tSREUgn7YMI5rcpJkkQkECJ7c9kVEoiXz6Sm973C+lBWvlxfE5BFS7oUBmWG84WB2jBATdv0Fi9NX2Y2Ci88e432ZdtVCkEkYATmZcnAKu3JBsLI8bChlKKM0z2+WzKczRp9wrkziTLUXt6R+//ASRATeeSZVg5AlupHZWzBjJvcjN+mGf/6vf53KGGIaIWVcFnz06TPaYdjP44p2PGcK3q3RONdhjeR6dYYg8vm3v8R6e8FutyJZDS6SMixmcx7cP+L9T55y3q8KdjGUiWaMBh9B5LTf5Mg/u+7Q9R3bYUcYA6qy7LZ9SWlFWSzF2Rc/S4icrS4xxrB96bnpluzGHULAdrskh1h+37I8mFL0KFmysFAiV5UyXF6eUVVTgi9ZeY3geHLEFSu6ccRFTY4RXZW4hQT69QUfXb1AKUvMrlwapeT0dE77ZF0iTapGIrls12zaHcF7tKlIUaC0ZdtuySoVp4JUyBiRUmFthdaKo1vHXFytSGKHkBXG1nTtkpQCpq6IAqSs99+FIhARQhJi4V37lAlxpNYG50JZJ6rMZFaX3DyKL/30X+OzD/6Aq7UGBeOwQ0rF5HCKEYo0dqSQ0KbGm4qQYPQdi1mDH8p2cPQBKyxv3n+DD/uOEEZCjvR9xyjh577yeS6utzyjwtjI4AO2mrBbr4oUhwFbvGgM3UjKAaFS6dZIhak1ruvwPmJrgbGG1u8HBKJYNPfRdKLITGcLRpeJMpf4T0rIfd9DZUrsLsG67RE5orRBCEOUocTAXCBrRXShFOQkGKnwAbKWWG0IewHb0eIeEri5uMYFhxGajz9+j2llCdKQRebl5RkpOrKMCAGDd6QQMVrR1IbKVKw3LSpKEsXAGcYOqyynt064dpl/9Z0PWW3XrEPcC8wqTu+9wXL1gl/6ma/x7NkZHz7+lM73xFwuGcrIUnoLjlpY5NTS7gZizCjK9H/STNFVxWbY8oMP30eJjNj3pXwYqaoaYxpaFwtpJxmymFM1B3hVc92N6M2Oq5srfH+JTufcUY5uPmPVGyazGavrJ8ScmTQLSJ6pqegE5LZEt6TSqKwZ3ZacBbauiL7IqzyQ+n7/DhK0O1f+PW4oAkAhCqM8KW6dHNK/2BG84+lg9vZOiajKIdRaS3Q9daUZXSCHDFnSDYFGV8WoTCrfZZ8QQjDuOp6dnZdBklaM3pOCQtspt26f8DNf+xl+8P33aNst49Bidcb5hAuRcYxF/LPvtwmpCMmhhCZ7ePLkQ4wu3aYnq2dMmgm/8MWv8aPHn/ByfVMmmJRn1JOd57/99z/ks/MVQwwsmpqcBH0YUVbSdR4/Zq6Xl6TgyKnEDdFAhn7Y4GKRgeXKcPXyMUhQSlEJgUtFPihUIoZy4VO5yIsqMyGRGcYOHQvBhW4kZsXtW29wsTwjux5pNU/WK/7+n3zIZmi57CLWGrI2ZOfI2YAuBLKMRmVBFGUiOzrPyMid23c5uzqnHwakKVJDHzw5Z7LosKYmx0Q1O+aV0y9xdvMR00bRbocCioiZpIpoSxoLOWGEpI8OrQQhK6TSJBKVVPSDR5tihq6kpZ4oVN/gfSJqhRaWlBxRSqzQOBcQ0mBQkAK1UPTB4TPcvn3MZr2my4k/fXpBAMYQyGLk6XLNxxdXSFW2BtPZnN1qycRU9L4vwANhCd6Tlebk9A7DecZ3aw4mmt3NGcRAkhWXu46zTcuQFDKX6XuIgZ0P6L1DwDbFpHloIk+ePGLb9/gscW2HsZapaAhdYjfsME3N4a0J7a4nEsnZgzHIQeOcw9aOX/upz/PeZxd89GzAKMOr99+CANtuzZ3TU/70ve+WuOxsgms7XBwQUjEMA9ZqwJKdB6OYTjUhRta7gdVmxEq4f3qLza5l040kAc4Xjr5IGjuZ87Wv/Roff/B7vDx/iMyanoF5M8eLyGq7ouv7/+QDPPxHZOKb2RyTJS46mrpCIgmh4Ly01eXhaioOmkPunyr+j//rn+Ff/PYn/PrvvscQ4PbsNu+89RU+ffkRq6tnKCMZfIBcHogFo5eJSTGZLVhtbpA5YpUiRkk9qfdUBk8qJgJM1ZByJoau6KKTobYKbapySBp63n7zK6yvrri8fkYInsoWsY7znpg9Wlru3/s819ef0hzcYtiuS3k3FftgComFqdgOHTLBO6+/jguBT89f8Mr9d3n93gGPP33Ey9UVJ0d3WW4uGLxjrubsxjVCAaQivxCQo0dZxev3X6HfjSx3W7LI5JDw3pWiBHuRVIaYBUoosoY4hP2aUBKQ9H3HrGlKsU8ElFIor4HIKBVaJXIS5JCxRuNjJAUPUjBppgzDSGUzQ++L/VNlCIHZfM7givZbS8N8vuB6eUEKIFSp55JFwTuSOD25w/LykpAhRoetqjKp1xUiBaZGc1IJrnae9VgY3LIqh3PnBzQCO21w41hUK9LS1BWD2+FSwIWSgY5kGmXLiyspEEW+E3JAUf7baS+G0loSIoggERYqqalrSxdKT2JSVZhqSnA9rXdoFDmMZFGQZIUMI4ghE8JI09Rl/ZdK1jYTMNWCO7fucX72Ah8HEuXzLLSmEoKuH1BCsZgf0PueKGPZ8PxZnADJGEYWhwfcnh/w/PKMznmE1DRWEUKRPJKKhErKEvkpDgDH8fyYkB27bQsilUI0ghA901mD0YZ3P/c23XrH86fX/NSX3uLbn7xPP0YgooUmZoERhqaesOuviT5TTRtCCKR9Fl8KA0iUMQz9dl/4LIbDSlb0fsSYCUJKjg+mbDabghwVCmsEGsHoSu8DMjlJQnLoSqMpjf8ICCNhT8qQKKyoCCKVPL+tSDkRUmbSHOL6FjOpcM6TYkf2mZgTB/NDRCw9D2WbErMLDpEDh4cHqKzZjSNQJCiIMr322aOlRoaME5Kmonyu5Izbt15jvb5gdC39OBRGPaBVRkrBRE/oho6UM5OmbIqMrRjaFRLQtmEYW8gZn0s0RGmx/z5FTF3jel8O7KWzjHcJbRVKQD96jDZFZOYjU6vwHoII1FWFkLYwuEUhxcS4R4YrjRI1qExMQ+k0GIUIGrIHYUi55Ny1VeQx4VKhkMUcuX90ynK3YvCBmBNaSqyxGJ342a9+mfc+fcJqteN4vmDdtSgB3kXC3gCspSy69nrGOGyJQnJ4dIfN6iWfe/VVluuWTb9j1w+IFJk2U7phJBMR4s9S4IYoYvnM+FCK8HpC0qUkLpLChQFjLLVucCLgx3JBS0qBgIPmhProNvcfPOCVV095+5VTTqf3eTn2vHj6Q54+/IzN5Q199BA8m5s1a1ciLZhyAX9w+x792LO6ucbnQPSF6hQkiBTRokQMrVAoW9EN7d5uXQgiMUaUUCghGZOnriwyCV6//xbD2PL04gWHp/eYq5rV6iltLBP7HD3Zs49YGsS+3J6VwVQ1yQ34OEKM5CSobV2GFzmgJTTS0MbMdDonpBFTSQ4Wt8gxo5Bs2zVd35J8JqSAdx7bmCIX1LJktJ1HlPIaySesUvickcZgtMFE8CnigieLhJACIyrAo5JkiB5lLG+dHnHdb7nZDRDLMKeqNM6DNBrXd8wnM3a+hZiZTY7phh1GFdCAC235vYtEShKrNPPJhM6NxBTxIWBkEU7FlJBSMow7tNBFPqgidTUBY9j2bfmcjRFtBXNr6QdPN4wYWzM/OGDY7KimByzXN1gzIcaRO6evcXn1GKkkSgicT9w7OeGd2/f4g/e/x9YPIDVWFJFblvtNalbcvftlXnnlJ3nvvX+F8xuCi9S1YXADSINBkH4sNwxkkai04u6sYRwD5+1ITpAp/gXvPVZZTu68wuXlS2RyNLMF0+mUq4szUk5U1pL3YidpChp4Kmds3IqcMnVd4WNHwGKCp4/lXStUSTXcu/MWm92K5e4Cq2vin/U+cgZd6Hixj0QkU2PQeso4XjGdzZg1NZfLJY2tOD2sGXpPNwRemVqwgu89WyO1RKqK7DwSTz2p+bt/+cv87vce4WLmet1S6YrGNNw+fY0PH30PrSWmOkCbjB9apjLSVJbLNjKOI5kSsf7cg9s8Or+i84E3X3ud/+qv/yrHM82//f1v894nT1nuWmJwLOo5bd/TuXUhY6EQIjPXFUMu8IOTo1ucL8+KhCslfCrfCSlUcTbJEvv2ritxOwl3Tt6h72/Y9Et0Lv1RpMLITCTStgM5/c8fv/9CM/HJR4KirAL9QBASEtRVXfTkGg7qhjfv3OHx+Rn/3d//fc63A1lKckq47Gn7DdvtFWMMTK1BS43RU7bDhtvH9+j6G1SQLNQUp3tCLkQXKSNtuyuSEF1WhtIqQugxFBJGnyM5OkYnS35v3KE8PHv2GeMwYKuaarqgqSu26wsQuVA+yKQ8MJvfppnM6LdLwjgSssSaitFv2Aw9yViaieWTF2UiXU+n/JWvf4mf+/Kb/LtvTtn+6Z8y05qdUQwjjDqAsYTofjzl1kIQMjR2husSfgwFTYUvpZi6ghCRumJSVeB3jBGklcWaRkYpGGVARkVjat66/wZPb85o264YEytD8gMxe4iS1x+8wmq3o8qW9W7FSEIl6MahTDGCIslSxqyqKT52bHcdSpeVWUwjm80aIYowIkeo6gZrp9y7c5vN7pqh71F1Q10v8LsVQ+wQ+xjVpLJ87tYxdw8rvv/sijZ3CCOAcmtVKpd8eArIVDiryjZs2i0iJ6JUQClUEz1Cl5dXv12SYkQri5SBLCXkknlrmpq+7QrOcL+7DiKzanf7L14m58AYHP0wkLMnyhqpymc1pKJNzg6kjiA1ISSksNy//QBCz836khwc43rLoqpZjQMpFDGVrSwhjMhK88rJK0yqhs/OH5JSKkpt59FaMz2acWqOuLy+ZlSKd165y0dPzwjR03UDxs7RqlxelILF5BCtLBfXT4qNNSZSSnifkLLYUJWqCC4hk8QHz7PHz3jl/l1Gmfns/AwlG7747gNevDhjGDyHB3PaZct0cYflbkWKIzYGYgjkJDEKkEXcFfqeqmqYThq63Y4oBe+8cZenF2tuViuMtVxcDSSRSblQQpwTdN6V6J1SRUwSM1YpjFK4IaCUpKoaXHDEWErM5FyoVC5S1YYwOlwojObd+gJjDLttealLZVAmEVxm8O3+EBvx3Y66qjg6usXV8pLlaos1loPFK6y2z/dRrf1BC2hMw2RScbm9JDhFc3jM2AcWizsMQ8t6fUaWMJ3Paduu5MJlmQhO58e0445d15KSwu7LoilKpNHkUSKNoMagtaVtO7LMxSI7ghJgqhpIZXtUSYbBYWwZS2apyBHqWUP0HSEXgpOpaw4P7/Dy6ROUBtU09G2LjJnDo9sIZbg6ewyAMiUi6HxfcufJI3LCqAqrFKNJ6GCRRkIIjJTcvNSKlAXWampruTNb8MEnj9m2AydH93jz3ut874NvM0RPjJG6nkJO+NSTE4y7a7SwCBm4vHhCLQ2fPHzM6D1ze4BAYKxlcJ6T4wOGYWQ3dqWno0ruN+uqCLvCSJaZ5DMED3hiihip6OKAnc3IY7c/XBe8Xmwk1UTTuzUvzzv8+oKP9XO2STLsluy6QEg73n7lhHdev89v/u63uXx4hUZCyMSsePr8CYlSJo9JkIgsZsW46ka/zzwrPvfgDe698oDf+IPf+vElw+QymNCNReWEcJK0p4FNpycMEqqmol9e0MZMFB6RBZ5EbTQpJKQ2xU0ip4Q4QI4M7Q6rJCnsI5hKMLgerc1eIiPYhR6UZRgGZA4YO2dma77w+S9yMDvkB+//gEdPn9BulygZ8TnjnKMyBqEgOI/KElOJUoaUlD8FCSJGbF3TuQ26toVmGzJITdM0JCXpuh1SSMax48OXDqU0KktCHLFVhdKSeT1h2+1QElzoqaVEKMOtg2OuKZ2Qw9kBzy9asIrQR5ASpQ05CvqhWEXJkGRmOrH0bqC2hqqxaG0JY8TamiwSm9UNQZYeQlOVYU03prKFkBqtFSJHhuDodjdAQoiA9wPZrbh/csLL9Q3bocMagzBwsVshjKaKFqlVKf4rQ9+PZJFQzSHXq0+4uPwQaQIhRExl6MeCitYmQzbUxtDv3QpCCIxIHFQKJyXn7VCeB7FswuuqQSIhGqxqSDIQCKx2bYkMVho/OJIoQ7cYR4yqMLMJdtuTcuLdN29xfrlhN8J2vUJmgVaaSCE83Vw+ZTI54PjwCB8SYxZIEYmjx3cJXZXvmVEVvRvAdQipuN5sWW9HdCNp/YC/jLhQLM5ppji76pjNa4axxFaEEqgo0Gj+8X/4XjGgU2RSGUhx5LPnG4RKhVYUN8TJnEjm3Vdu887tY/7JH79PEBmRJUpofvD4OUko6qbi/PqGb/zRn1DXihcvb3j383+J1fqG937wR6zcDWMYqZqq4KFjeR84lUiqDMeW2zUiBGbWsBkDmiKWlDKhmhmHx3dZX73k4Og+bbdjcDva3QsWswmDg7u3buNT5HK1JiRPRv6FiJ7gP+IQf/feO1ydPywwe4qIiByxaA6PbrP1G14srzlbrkkp8egqFtSa0MybmmHY8f7jH3D/7jFPng4MPnEwO6aRM9qxZ93dkEbPweSIX/zLf48Xl4/50+/9B6zW9OOG5AKVtgxjD7LEJCK5FCCtKi1uo5HKEHzEucz94wes2i337r3G+eUzQrdhaD051/josdYSwsDm+hkPDl7HOUdIkVoa0tix80M5aMhMpeD47i1uXixBeJrJnNu3T5gtZkQleePeHf7G19/hDz6d8Fu/9z5IgSSWw1DW6EoSvUcaw2xxyGSyIInIze4GqQxyH7UQCELfo2YZH4Gci8VPGqr5hNCv0cHisqepanbdmuBHUgzEMZBMYVArHxBILq5uiDlz+5W32LkeM0QSUFcaN/Rl2qVVKa1hUHaOp6e2NSEGrFA41yMzLA6OkLJiublBCc3P/PTX+M53/pjLzVNMlgztEu8HRBZkLRAp0HeR98/O+fgS+pg5mB/z6r37tF3Lk/NnCOEYhoFxdCAUPhZera0Es+kBl9dLckgU0HsmRIgYyCW2lAppnuBFQZNqzdANKKkKhUBmkBlbW6QvtJuUBJ0P2NiikmAymyKkxjlPDL6gt4PH+xL3MEJgqpr5YfEMRN8ypr3eW21RAmKEyk7ox57oInZSMxEV0RjOdytSLgKYlAbU3j0wdB0+WdCGozu3mArJ4cExu7ZlF7eEMBT6B6B0xbbflqlxTFTacOf0mDE5dm1LioKUBLdOj3HdjpPZPV4uH3OxXLPtHEIEXl72GFVyoZW2DLQQt4w4zl58xFQZUl3Qf0IUZrFQqkQ7hMLLRIqBg2bB8cEpZ5fP+OTJM3yUkDMqwRgLVUdLiTaCYSz/jhQ9RhVpQJKFYvSXf+ZrfPdHP+L88hpjS+yHGPEulj2IqZAi48aCrqwqRWM0m668oHKBpu8LXiBE5q3jQ3zyPLpal7W4Emy6FX4cqFRNVJlbR7fp2mv6vGV0I9pqKlOhlOX+K++wedjhxoGDgwU34YKPPv0DxiFAkuSYGLsBAShlMMbgQ4S+JXtfCoOhTBmPD+4weM96e0VdGQJFYCaTQJdmM5nMfDajH3skM0LckZInyERVV5BVoVslj1QCIw1+T/YRQhG6zMv2EU1TYaRlt9lhjMZacOOGECKIguoTssFYRY4bUkxMp3OODm9xefmEXddTK4U0uYhKUmC53aC0IqZC7IljJMbIX/3i53jv/Jw/+ughm8011WtfprZzwniOmtQsJhayYTsacnBoEjlk/OjJAsYcsArmkymr3QapAF1Qq5vNikpYqixoE3Q5EFNEpYygGFeNtgyx8PobLdl0HSmEYi4ViiELEIX93dQTcI5+9YLgZqzXgraqkbnFZWiHJWncAQKjLIeTirpZ0DTX5eelPAvK5sqW540EJTTbbodAoo1EBMG0nrDsW6rlige37/Dy4oyoBKMfsXLC4a17XDz9DJSkJpOV4sXlZxgzZz6Zc7O8IeILmivLAo0gISi0G60giZ4Q8/5/z4QYyv9HMWH1hCAjPvmCoHUOpMCYjM8jJmesMbx1/zX+3t/4W9y594B//M8DN9crnOsQo8RKTxIeW1Vlsp5LVMrH/2logPTIbMqFerOiVpLkMu++/TbL5TU3qyWj25AkNJVl7AekEuRcKHVaazKRcSwFQaMTWmScECSpSXuc7s36irff+AleXHzCerekmsxwvkMiyCLSuZ7BDXuCGUysQWpB120QOuOCxBpBu+kwWtH1gRDL+49YiqK9K7x1ozNelg3p2EdC8oX/vY9IuFAspWfry5JhV4rTg7usuiWPL18g/B5bSKSSDb3bQhBoqRFKEH2PnVcYBX3fo5SiH0aqyhTpVCgulJwTwSeszYQQaEXmvRdLZIYsBDGUTltKgZgVSSdenH+CFqHEEvOIVJ6mmiFyoM2OioQ1JaJrRcVy9YIgE4eTA0RSVHbOtu+YTI5wcSiby1QiarqesmnX3Ll7xOg9u+UOObHURmKsJSWJTxkjQVlNHEeAMqQxlhhDiQ5XkB1sU+D9yx2j65kvDlFCoCwMQ4dL5ffvlSL7Ebk/TPuYEKrQj7xzJcIsEzIHxlHwg4dXfPuzlwwp7V0X4Ci9JUEiJE/oMn/y/fdpqnJ2sIt7WCWpa8vo+yKx0+X9VFmFVYK+c2gqohT4rkMjOZw37MahcF6UJoZEaHdc+6cFj6yPqKYVfdgwZtj1A0ezY/7zX/6beBz/7Df/v9wsPSl4hBB/rkn7X9ghfnn1nFppYqLwN0eHUgKXRg5v3SIvPe1a4AFS2mvcTZnqIMgZhtFxfbnmwZ3XaDc3DMOGLu+QKmB1wxgTQWU6tyHEnug7brYDujIIKPIFUR5+JluMrcqKOowINMYq6mrCenMNInG1PENKuLx6QrvbomRCSVPywLo8LCSCwY8kExFScffkLqfHcz589AntdsDIGiUTUsHjT56htSFrzcnhMT/44Yd8/OgZHz3+DKsDb7/5gCfnG6b2Y9q+RcqI3j9u0+gL41srLs5fsqqucf1QmtLek7JGiIyqFGHw+HEkiIwSFcEFVFNj65rt4MjZY+2UhOd6sypFL2Pw3iNiZDo/QuSBvl+zHgfszPL0yY9wOWBVIubC117MDtl1G3KQCASu21DVFSll+u2GarFgomsynl3XYaqKSTPn4vqMXbzh3/zbf80wtmViHouh7uj+q+wunzOMGYEm5cA4BoISVM2Mn/6Jn+Pv/I3/ks8ef8Q/+Tf/jIvLx1SqTCaqZlImst6XB1i7K2v5es8+F2UKsJjNcdsLhK5QVjL2O1IKe6oFhSUuQSIRUpCAvuvY93EKoz1kJBZlEt4JXChkjRwTRtqybjZlCloMq47t9TXaHpR1eopU0xpHIg5FBhHziBECrQzvvPIuN+2S1fUl49AjZYXMEZc1ympSHum6EakjWgs+efKyEFWEwJgG6JBKIPaT6c4PCK2Y6IpgFVkbnl4v6bdbQCFERBvYbLeo5FhtLskE6mlFYw0xSJxrGdyOTx49/LFY6nodWcwP6bdbpJFFMGZKdEEozWxxiPSRSTPl6cVzovM8u37JpJrjXcDtcW2TSU1jLGEbS35WFFJViLHQTIQi7Q/cKoHIhqvdWKJH0xkxR6LY53tlLjhOPyD+jCKjMq+fHCFlpHeR4BMyS6b1lNZtEfvm6XnnMTIihEZQkGLZJ7RQJDwiZT5+/B1un77KT9x6l/d++J2yB5OK5e6GxWaLkhMSA48fPmQ6bbCmxo2bUp7LpZ8hpeFofogms3MtbiwdiJAF1pYXxXqzRGhT1vsxFdJWSnR9i5AaGSMxBjq3I2XB6ckxZy8L43pwiWlT1rpKKA7mt0uhsCvULaUUUmc0gegTQz9CpVC2hjwy9AMxWyoRscrwSz/7ZdY3G3707BxVacRYHv85F2nLRBnefuWQBwdH/OjljqvlFV0IeBdLcbRNhRwTPL/3wWcsxwFTGdI48p0P/5hxXJEBC2xXN0RhIWvG1BaMaSp9phALN11oi4uJmAt1KYRYft+9I1rP6ckCuUrEJIhMSz/Et9STBSGM6JTK99rDfH5CP/Ylb+4DtZXMpocYJdl2W7LoiLmmDgZpIm23xrOhGwI5t4xeMpkYfvTomvc/e8H55RLvMtqWjo6RqsS2VMnd3jq9w9mLp4WspgV9O2B0zfVmyXbYcOug4e7xgudXz5DKYsUEoS3bm6viQgiZpAQuBGwQzBYHrFdniJhBxj1qUCBVieRZqQqbmgQxIymEIZ8Ddo+4TTkypA6JLoeLVC6UViokimgKJnoIns3Qc9068nLN0DvyMKDYx+jWHqNtyfdKQZaKKCJvHi2o55aPnt4QXUIISFkgjMFHV/oOt16jqg65XP4xREc9meNCoe9U1ZSh70nO4XMqNDNtGHwgRMeb917D1RVnZ08KiSVHdn7Fp48/IPoBqSNJgBYWWSlicPicsaYqJVhjeeXBXVa7NWMu0bUw9ExmdzGqYxhGhFB7UEaPNRUhJlKO3Frc5pV7b/LDxz/Ap4SqK4QWyKhg9DRVg8sDEYlJZi+AlLz96hf45OmPuN5coaoycKikQaUibrRKE4NAYzhZTLn/2h3e/+QzUq4gjVhbUNUhl3dOzBHnyrYRShzO+QGgkINyQpuSQY9JoFWGFDAik1MsgADvsNLinEMER5VVIciliLIalwPT2Zxte8NyveNqvWTSLFA5Y4UiCsFkOmPoOw7mM5bdgK4kz5+/RGlRns0xMiYgZsxEE4cWBeAiddMwuBGfEtEXjr3RFb735Kz5/P03+ezsYXEDhQGtFWNfMNU+gd91QMaocmnMgJIa70PBYAvD6D21CEwqS+8H6oNT1utrfEjYpiIMJTqoUdT1jE2/wpB45fiE6+WWrW95771voVXGJ8diMafqHIMv8WpCJCmJ2PfqrNW4HKmaKS9vdmhdBhVZSrq2ZUgRP3SYWnOxeY6M5X1zYAxOJk7u3OfbH39MN+zwQ/EFCFUuaX8Rv/78xtZUCk4hg9nfeHOCKA3vf/xDNBGBZLY4IOx2hByIKfD6g59gvbpmWF3SKI3vHWkaSCT60UOSSAOxLzxzrSO/+Y1/QCYVEYYWyJzQwjKkgKkqpMoE55gIA0oRHaQYqc0Bi8VtNusbcpQM2iHRCD9Q6QzsZVRSkXGAQGqNEfD8+iWoiqquuWdOGcaAVRJJRAvJ6EdMVRODQ/jIsyePuTh7RsrQB8esrvhv/x//nOtVS+dLQScGwXw2R+pMv9sVSoSIQMDHWB7oEvS00Ad+4e07HMwXfPO7D1m3LVprXHQlLzx2xLhjbqe0LhFTYlI3jGOLliXDXTdTsh/pujVJRqpKoU2DRDGxgtYp+t4jdURGwztvfYkf/Og7LI5O6cYdmQE3OFARWxkYW3oRCPvb4svzl1hxSc4jykypzITNblMeEFLjk6ddrkqeLyvqqsLFjMuSqa4wwnB6cIe3Xv0CQ/A005rhrGRJM6IUw4wt0/R+JIZQpGFBYJVBGImP8PL8EdY0BD/sUaeZTMZqXWgset84pBzotZLkHMlZIFIkpohV+scPiYQvF4CQkaJsRApkrJASmrktLFuhOTm6xaOnl8wnDT/31a9ztVnz8aePkHgcI9lWJODhw4dl7SgSOWusAhcTVhb1ubSGwUWiEIgIEAmxRyZJHvsSjRACpcu0N1KKt3EoUjUlJJVSqOmc3W6FtnuGb/SM48goRzKZe7dmrK57fFKIJFC6LodHX/6cUg6gAnVTgYK0HQoqUQpi9KzWN9w5OsH5AZETja3KJL2ecu/2XR4+/ACTJXU1obYN/VguP5t2iZQwrSsOpgdc3NwgynMfYw3dOPDd732f0lQr2Uoly/Q9eF/spSKhVBFyKGt4ebNBq4gPYFS5tO3GUhaUWVHVDVLP6Ice7zcIFOSCt4y5CDt0Frih43r5nBRX/NTnXuXpxRInGoZdy8OnPyiEJCVRWtKPI8F1NMYiRGTMMJtWyAQnpydcnpfLF1KRUkBLi5CScXRlitv3ZepIkfZUQhVGvYAUA2pP3Rl84OnzDzBaIZJEEnAuYhQIqdBakLJgcXjIbrshRAdBEQyEVFC6o3NIk4leUOkpuq5JzmFrwxffeo0fpacMn5wRsyNFgYgdq2VXkGgx8r/86pvYqmFjIlebVbH1SlBJk5FIm7BC8uHLF6hJoW50bmA3vMSoiso2zGzDVz73Fs9uznl0vsFk9lzyRFNXEASxHxjGkcoeMK0TXoRSDrUVMloykcvLlqq2SFkMy4lESgE/tihrUMoQYkKIjBtbyJHF7JSqmiCi5/X7r/H47AkhO4SQxHFE6I68y/Q4lPDl4CMjccxswpZuVVj/PkZ8KpNVLRqyDqQo0VJhlWR7s8JKjY8e5z1GlwsiUuBj4oePH6KURSqLjAlrK+zskM12h2oscXQoXSFHRxzWPH9yTc5FmJWDwEznhOjwrkdRBhPlO5lp7IRdt8HnhBIakkAbQw6JHBMhO6TSGC3JIjGtp/gsGdwWM3qyFTx+8Yh/9s//IXpywMXLF7xYl/x0IHCwOGa3u0ZoXaI0SROjo6kMP/XaPV5etAymiOZydiijiNkgUubb3/8DQkxoqwkOUggQRTFwj8UKLvaDEnLZijZVzWw24eTkgOerluQStikTXhkDY7fkjTfeJeXE+fkz+r3wSFtD7aGNEWsrhDG4KPAxI4Qke4c1Bu96XPKgyyBive5QWpOkIUcPQrELPVebq4Kilqrw+F1AaUFlZZkEZ4XVFSEEGmmIKvP47CPWww5BwI0JlQ1WK/q4Ka+gmMiMuDACFY8+e4JII1IoxlAM0UZLsvOlZwZUVpMCTOe3mE1m7NbX7NolJydHSCm4Wm2L2EkKQhgQSeyL8hZ8wQ0TAiGVi5+WFYmEx6GSYXF8p6COwxqZPEJFxnaDUBVOFCdL70eQcL1aoXSDzIYUt0gkM61QVrIbi/NjVs84mMy5uT5DKMkwDISQqOsKYyS4Qpz7yVfvklViy4jQETFk2qEvqQFdIAfKGXLymLoqAwGt8EHSNA1dt6aShRZjhGZqJf3gkEby8uaqdG9SKhdYLRBBcHh0wuH8gPHpDqSlqSqk3hF9xuZClalUxdHimFW45sHsPtvdil23xbX9/nMlCMMAKZIzTKuGdT+w8h1CQoqZQKKSmuwomyYiGKgaSx47njz6hJGArjTdrkcpza2Te7x4+YQ/Q+P+p/z6cx/irbVFDNJtGccBITJNXZNEIiMYvSekgAqOpEALQyUiLx5/CtkXzJKxuBy43p6XmIg0SFURdeHgEhNGJKL3JFG4nZWyKK1phwGlBMkNpYGNYrvrUUaihKKuoO0vaf2KurLEEPG+x0uwlUHvX57JR1KOTKuKLBWqmmK8JyRH8D1b1/HDD3tEFIXoESLWJHRWhDgyUZbTk2MuVxvc2NL2fbkthglPt5uCwjQGXUm0nnPnzn22N+e0eV82kxojRSEwqIymoDZvnx7xhXtH3D2c8ifvG7pUUaFJJtH1HRNrOZrdYbbQnJ8Hdt0GYmk+TusJw5/lwW0NTYkUBefQxvLg9ik/99V3+YNvfZenLxxSlBfC9z/4Lil4tttCqdAVGFOkCu/cOeArrx5ycdPyp4/WBFsxmR+xWV6QAZkSm+US0CiRSywnCnIaSNEwqS1HBzMurzy9HxCVxSnHdz/8E9Q/tdy019wsr1jMpmzXAyFHfEhgmpLHHLoyCUqZhdbEnNgNA1qDlIbDw0OWqwtIkRgtRmdy3OM+SD+23qVYjLJ/pnjXlSWPIz5EYvLUkwZFoXoIUShAVkpSMREU4dGYcWME0fLk5acoVWgfr9y/R46Zj4KjTwFlVPEWEBnTWHJz1GhjUFZRpwlZOoQq02ubSiRjGHfEqNFSE1Mki5JJN3XN0fygYP/ylDF2SCGK7W4o0qM0JpqmJqPwYQASR8fH7HZrMprtKlBPJnTrDchMVSviLhW5TBZMpGVsXbmIkSFFFOB8RFkLIfP88gprJEIoXIbD+pB2uySGEQmEGFi1S4a+Z/AOjaGpGkIOyBRLJKmu0TISk8SFslYP0Rc5iE9Im5AxIgAhCvVA6j2xJoyEMRa5Sc4YXWGUwEVHSr6ow/eF5vXmgiz29Bw0MUay0Bit0QoiCZkN3XpLu97Rrrb4mGiHa4QAo0qOdrcrRUxrLNoaJs2MXVsK0bP5HVY3T9gsLzk9vcfF9Q1tV4Qu2RhkisyqmpASLhdikrUV07qi70a0qEjZkYwhxlQmSLpkm62sGGOPVsWem2Nm9D3nF8+pq7Lt8FqTUiCEsmkg70ukSILriFGRpOKdB/f56LNHLDdrvvmd97ncrEhhxEjJoMpkE1E81VlXfOvpmhhX/OnHT0rJM4LWFqkSXkRyyowioTDEIZTPtK7QtiaGER8dYzBsk6b1Apcyp3fv0242uKHgEkm5EFy8xw1rkAp0eV9YU6Hqhra7IcaM+P/x9mexlmV5fh72rXHvfYY7xo3IjJzHmrua1eyBg5tsUaJEmqIkGJBN2PIEP3iAHmzoxc+GpTcbfhIMywIMyIJlWpRblGhSbLJJtruru+bKqqycIyNjjjueaQ9r9sM6VY9EGSQYj4VEVuS95+y91v//+31fKphSS7jdzOCjRebINO5o7YyQMzMrcSEhtAIp6YzlZnfOZ18E7OKIF251zJZzNpvAevcMravmvaSJnGEMDqsEbvIMPqCaPYFKAUoR44REIFX9LOWsCXGoCEtjSX4iqypuS95DEuDBlQkUSCMZg2P37HGlBHUGQcFNN6QiCDmgjcC5vH+hV1FaxXjWg1jOteuita7lVb0gSY8IkWINybsq9kuZWWOrFV0IStKkJNgMa3KKjApee+kl4jjx3gc/Ygq5Xs50S/A7lAKlNKDww1QPf9nR6JbPLwZW4wO81Bw0mvNpBaKCA5puhnMDbRrptGHTu5qbL9WE2diOOCY0GSGpUdZWI4qiXR5w++SUm5vnXF1vEBJKzpAiXhaKh4PFjF30hJRIqkbadE6YWYf1heAdWsDF5SVj6CnC0JiWHAOrXY8VgraxDEMtyb50dkrvZmxdJE43JD8xTVvIhUKVoUUf0Cmjuo5WFNr5kjAWerdjyo4wRbKbKsABU9nvJKIwlFLJK51tK4bRJ7782pvcf/6c7BIh9Vij6nkmgRQarTTNwtJvR7RRvPPWN/idP//X+dH3f48f/fAf1KJ0BD9Vdr1ULQtr6Pu+dsB2A0o3NNbW6J+szx2XJoh1uDPrLOvVJSm6WhUriVY0FKMIqZCkoG1bOtMRkmOz7lGqEsKsnSHzxO+8+wJ/dP+SHOpmMRaQEYpuEHsij9GGBEQ3cdguiCVz+7jhhYM5/48f3yNGyKo+B3QxnB6ccbm+xlgqvQ4BIuN93RYPu0DKmfW6nmeazvDO2y/xvfc/IwtDjnFv+DZEl8i+oJTARU9YX/LyrQVfXIx89uScWCYarfeDw8zR0TGry2tCjty9c5cnqtLFnO/37qGM9wG7bJlCwPmxEpRKLatbrZibhixE3YIoVd/NWXApVpXCk2MtvrtAJqLQrFarf16R+F+eTnNydIRA4nMkpFhjB8oilSKXioGUQlbhSOiRpU4YizI0MuJKtZYKZWitxmrJOEzMmiXbYYMwoKWi1Zar7Y6j+YKjRcflpifkRPQTUmisgUBBJUmi4tratsH7TI4jCkEQAmRBikJKNT7RKIMjVTZ9Lhjd8dLZGzy8fAjJM2st/bhGYjg6u83m+oZx2LFYntI2msVCInTLzfkaKSRD2JGdYwyJrmkoov7CXzq9w2q9YRsGYoLFckEp+zVxclijUVISRCIlhYiFeaP4zT/1Dp/df0rwnuvRI5VhGntQCoXBNhIhO0a32RdBJaKUavHsNMkFXr/7Os+eXzIlV9N5CWy74PTA8j/57/4VPv7gHn/3D7/DFCMpFyCx7GZsthNmPmdyEykETmcz/vqv3uVf/7VX+MmTG/7Wdx7xweM1WreUuCWWglYNSSRiKnS6wQdPodA0XdUey8RMa7bB1cmJburnQ9YJVR/GajXUhmnckCkoUSgpMm9uEUQghZFQIjMkup2zdY6UHdZYSsr4WKMASgtSrtp6Kdhz6Os6M+ZSi6Fa0DQdRkq2w7qy6I1FaVvjSKoSlnzwQKYEQdc1pOz3BKSC3r+sEdVUO2sPyEIwTANSSkqRVUwlA9ZYjmZHtPNjsB1MEwtt2I4bVtMaT8TKFlUy290NUihun77Cur9htTqvU2NjeOHokOvNBh8Sp6enKByPzm/QEmTXkkKuBuUokbJ+1hEVF6dty+nhES+98iI//dnHBOeqNCflKq6QkeXshIOTN3jy9H1y9GgquizFRNM1GC3woW7ZfJwqgUMZKL7m0KUiZYGSkbOu5fhoxtOd5+7BbVY7x+PL51Ay3Uxz9/SAZ2uPyIqSArtpR2s1bWdYb0ekUJWzHELNwM9qjrPkirzLMWCExihDkjD5ESUELhbQaf8yFWhj8aNDKxCmq4W3NFJy/RkZVa3TYc+Sb9oZ/bhBAdY0ZLlHO2oDsYo6Xn7lDVbrFbthV4vLeUSkwvHiLrtpx3b9DIFANS1SaHKaqCCaWgY/Oj7Gjf4XxshCRu+HFC7VSbOQkqbtKCkSYyTEuuHStlohiQVrDd57pKobLOcnjGm5c/suQ79iDAGtLLdNw/W4oQ+Opp1hksKXid75WlqXAhkzJSfadkECpCz4WDn9KiXmVtCHxJduH/Ha7QN+78PHZApta1mvdtWDkRKdMXUi7itutLUzXJgIyXN4eESIoQ4dkCzmBwQ3kciVJlLHGHzty7/Fk/PPGYOrwwgzYzfcEH/+LjENtptRSiCMPRFFKbkWRaWul1KpKBJaKevPXRqsNCxawzr0TD4iECy6BSFEWtMR/Q4XxyqvC7HaQ+2cMWwAgSqSg/mMtXPI4lGlrtZLEmRfhYPKGhaLE8bpAlkkioZ+3BFyNX9abfDe7YvidXhjzAw3jRQy3WJOGCcompw8lsLxySmbYcOUE0oYtJI456o5XdYcr5+2VcqWUsXrCcFhO+fui6/z4Ok9hqmWzJUGqxZoBISRkUijaxTVu8ArRx3WGh7uRqbJUWJGoAlEcvFYYfjay7e5GkZupowoGecDyEKOGds0uGlkPl8wTVPFCqIxVuJjgFyYtboiLKdMY5t68B+3YCyC/AsUos8RYzQp1GI4uVQcsRCU0SMbi8gF5+s2I6VUs/ZU+2dMkdliRhirqFBgaHXh+PgWq5s1Ukz7IYKmnc3oe0fwkbbtGMYN2tToWxbQGFWLrikzxYmcaowt/Rz/JIG9hXdwY+2+SYg5krLjaD5neXTMw0fnNE1HDANpLyLLOBazGXN7i+00cHZ6m4uLZ4xTAOU5ufUyX3v11/ni/o/50h3N9+59xnXv95EahVZt7Sllh0RSSmaxOCROIy4GKIkk6kxLCUPKAUNBNx1KFEbviJNHNprGdHzpy18jBceDB48qtjhHgvMUCSlV2svCCH791TO+++SG3gtkSZiFpfiIcwFKTQho00LOJHx1wWRBZ+bMjGAsiXGcalwy1cMwuTqCpBRQMrNuVruPSRJVoVGWV19+ixQTnz+6h5ECpQpCNMTskbIQYvX8WCwhjBQkuqlbJA24oGisZXIDxjaknFG6nqFkTmQkmhmxjKRcOL11zM31FWSqe0NXuEBjND5EvHNIIzmaLxldoHcjWhi0VIQUyKVu7puuY+q3lZ4oJSUU2qYlK0W/29YY8D/lzy9zPJe/zAEewDnJsM9qKyHQssYNvBsxEkQpHC1v07WnVTRf6ppcahCm4a07r3H78JjD1mC1pN/tSKKw87tq/EqJEDyT8yghSNHji6iM2pxoTFuztlJgjQZR8+1yP7k3qk6Nzm6/yeHBGYKKYWuUppWaEAOEVFMWSmEOFlVEQmXSD8NE1x5QSFzdXNAuOnTbset7rtbXEOF3fu0b/Jlf/wpRVoJEIKEaRTc/QZSWXArX2w1BJGzT0GjFdrdiSoHF4SHadhQSr9w54d1XX0WITJKZISS++5MvWA+R55uRIkwtlwlJY1vefetriFhw/ZZOGY5ntxClfihzdLh+QMjCs+tzIoHRVWxiEBnvdlxcrvjP/qu/z8/uP2I3BpwPiAwlK3a7EVEEbnTIUlBktmPgH314zX/wX77P7373Cec3Hi0Fc1O3KWZ2RGktPoMsgpQqsUBZVeM/0ZNFYggR513tA0Tqgamb0841ftog80SJA0okBJEYC+iGSURyAR9rDjcpzYtnr2CNJafKSfYhs2iXdN0MofX+hV4LllJUnKfPkcXsmD/79T/HiTkijbDd7hBJVuunC0QfmTUt865DG0NjNIumwyqDi9Vom3JCSFHVzbmKNYpSuMnhpl011YqCNYJ2ZjBSM1NzktEoMq1oODx6gcPTE86OT3jx8IxFsyRJhSv1oR6J9NMNzlWbndIaaSRThjHUQ9vl6orVdqwRLaUpU+Xat1JiDFhjWRiDtRYtLTl4rtcr7n/xBUIUDo5OkcrQNRarqomrn7ZcXH6OKJF2MUNZi5nP6I4OquEUyCGSYkBj6eyMkusl0FhTsXQpIpPhqy8d8b/4l7/G26czHjx/yHq4wuiCURJiZugzRIePO05OT7HScHB0Qts2KGmIWZByqRE6MtknSqyxPbHHeGUjcHiyTFV6ojXNrMXYGa02vH73Fm+++tJ+O5TR1mKbBTlXdnMuhSQArTFGY1T1L1hjWS7n+89wYLk4oNUWKTWmNWy3l3RK8sLpAX/1t3+tejKmkacX91htniOsIVHfmq+9+gZSGtw4IopEkrm6uqSfVihZV95SVWpNSIFMqZ/rVIh+YmYsItehBqIQ/FQjao0h7p/adV9SaLQiBseTpw/ZbNf4qUeWifNxzRgTOWdydqz8GqEM1rQczy1fu33A4bIhSUWIjskNOF/jDqk4TrqW//Gvf50vnd1iDLDdJiSmbqSyBF0lW0KWWi70EbSiKIlLNRNbCTtbnOuZzZYcLQ6RlD1JRaGEIO/Ff+vVBXny5GlNSRGhIUaHMPUA572DNOGniVI0Stta7MyJVBIxhrq9koKoJElbQhyZ8o7LfsW4HdHRUBK1ozNF7tx+iddfeZWUNSFTDbYiEWKPiApRBF3b8Ctf+RpnR3dIee8uiJkYR7RKZCHIGXa7a6SsW42sqhFVa42UmtbMaboWIzOttDSqRZmKIWxaidv1lBQBz+1bd1icnLHud6QsMdqgFFAUUmpSLEiTKnZWVgqNkDCzLUYrdtOWew8+Y9jtIO3jUCGTJ0fCgVbcOr5LqzTLwxmLk4av313yF9844ezohFdfeg10xdka29KaBaVInqx2OFpaaSgFFrZF5/r7m6YR0zT0Q8/MWFIEqNjjnEvFY4r6d5WikphmjeH2ye0q1ZECH0caJeqGzVda20w2fPP1t8kRoo+EUsg+4UPAdh2z5RKKo1G16FtSoGtbfvvP/CYnx4ccHt7CGM3i6Ihf+41fZ3GwdzHEzM453DCSRbWkjv0KUQLB+Wo7nh3SzI7omgMm56unpNQYkDaGrlXMlUQoUTtcqSBkpOlmNcInKrLy6vklWtc+kkgZYerFXmtLIxccHR3TdZJh6lHdIdoGDAIlBr7z/t/hpr/i8/XI4EItFZcqwsoxstndEHzEOUdIhc3NhsH1VVgJWK2RQE5h76So8ksfMsVFlLYcHtzhS+9+k6+9/Don7RxtMt/4yiv81q98icY0aCTLbobUmqlI/vCLK4YUMY3Gx0wYHDGlGuUsCWEFIXtCqqVwkyWGQgqe9W6qZeucyD6ynB0itKlxvn3mX0iBDxElDUJKVCnEkri5uWBMcb85zJVUphLz+aIO8GBPKIoIKVDGIkZBcoVxiDWak+qFx2pdTeFZkCKUmGlMx8FBi0ZShOTy6ppChlLf/aVAdJ7ttqdQ0EaTc+F6syXEjJb1Aqd0pgjQukNpS4wVHSyEJKWKmxWiYNsOo+0ve/z+p/75peM0RisKlRRRQqJtGqJ3tNZSpCamwNXVE1RT2cNSCmbGgrEUBMu2YXSalD3Hh0eMw1SnPlKgVV3/tkpQikLrjE+RYTugpEDlqrMIIlHJ0pVjHNKEVoYk6s26REHbtAx+RyweLRRN00KpeneRAyGlKupJl0S1IaZEIlPyROxdPThHyfpmQ3YjRSraxtJYw6+89QJvv/Ii733yBdM0oJJl8p7JD2grwBtc8DXrnhNhn7nTBbKvTPamneOywPVVdNG1HdEPrHYbuq6pjFk1J/kLclLEAE+vn1OMAQU+Ju6enOBzYOy3LBZzVtsdJgvcbqQ5PKL0fc1k5oSyFYn28edPsVIzb0+42Z4jVBVMyJzRzQyVMpRIyImE58HlFV9cV0KMiBCc4zoGpNaU2NcCVlF1omcNqe+JA8ybqqIOISKFxCCx2lYhQ07sxh1xM+0Z8QFhqgQmxglrQChJzCO3Fi27InFFElLi4flTxmnC6K4SIaRgHMfabRCqMrBjoNi69jZS4VNimHZcX5/TdoeYQ83l9efIatgh5dp2LyEQpKBtZzTLI2TypOJIQUCRGFmNcmF/K68k2UIpAWM10QWkVChTiNljlGVxfIDqWmazBQeLYw6WxxzbyOA7ztcL4mpLuFkRpkDBYFvLzXaNlpZOteRSCRBh3GGU4fTk6BfTz7a1eD8xmym0AKWq8ON3vn4XheIHn/V8cfm0rlFFYbNeIU2DbRqMlnjvsM0Mx0TMEetcjbwlQcqKLBP4ygs2WUFTJxc57JVcQqK0QlhJWzqGXA2zz25G/sEPHvLo2ZatT4DDZFn7M0Xz7GZVo1xacX5xDjKzWa3JJWKNwO7LfjHVcqzzjlJqplhbTYkeHyONNfVwQO3LKKAIQ9c1iDzn/oPHFCHwFFq3ZdxzzhfzQ6apJ+aIMS1h/2LMrppwB+/JsdINri8vMaYewoqA58+f8dLZG8y7OT/79D79OEGpWWgl5Z4VXAhx5LPPP6j0JFGjQJRSJz3SUPZ9ESMzx4d32A6XpGFCK1UFZzGy2233Ww7Bz6V4Uika22D2sherNNMwknOpUQopkLmF7OmHESEbGtmSVaYEOD0+ph8jJSXeOj3hL3/9Zf7P//hDpFBEIVClXkCMUaQIfcr88YPnJBl5st3xdNgx5QwU3JTQUtPODP4m1L+b0biUKSIR979zoRrInpLhK++8yVe//GX+y//mH9Scd/AoKck6EVPg4bOPQUTabkn0I9M6cbBcMvmJs7PbjNueq92WL7/2MiezOT/86FOGXJh1DeNYB0oHy0NmsznXN5eVAlUKjZBMQDObIUsmhkKKIyE7Hj7+lBgCStULngK8C9hGIFPBNAYlCz/82XtMrtAawehjjaBISZY1BpFy4PjgGO8HeucJ3iFyQUmJD5Ft6ZGyoE0DohBLwfVrBBnpQDdzlJaEcWLot8SciDniQ6T4wrt3zvjVN17hT97/mMfjhFtllCjoIirBTEqm4Op2rghiGoiiHuSaqChC4OKICoZF09FvNgzjwCIqhFH84ecXLNuO55txf/AzeCIEgdpzyQ+PTvkrf/lvcP/ZI77zJ/+Acdoh0CgpkKI+RxuluXVY6VCj86RYs/laWaYYiKHUg4suXK+u60XH1s9zKwtjrBn7IitMIMjC05tzxjBV7KyqXgthNSE63HXPrD2g9xNZJKxUlAKPHl6w3g0kt8XvKWLf+c57rPtrfM7MmiUz3bLqL1C50M2O6cdQp+tFEIInhUi77ChJkkRBKkXymcmNmNaglcbFQBGqlvt1TbUP00jau2BCAe9rb6OQKbqjMwZXAq++8BYpDPzWb/wmH937lO/+4E+YHZ5h2kN0jmyvN+TgOX3xjC99+cus11tivKEIMKapqGU3VpKMrrhCqavETmSNkBk5FbSQLJZLrjfXJAoypopgtJIpTvS7Gx58Ifj8wSdEv6XkzLxZ4MKEthqRCo7C3Hac3j7l8yePsFnjBldRzYhKahEWrCEmT9O0uKlGrimRKBSiBIStMd8QK21tN02UlGjbDl9kReg2LTEUpExYATErhDX0fo0fr9FSkktCG1MP7SLXXHoqKFmpc0JkzroZ8+M5D8+f1mdczS2hpWAYdgih0DkRKRRpaboZv/WrX+cnH37Os8tzYgp7tG0iBoc2Fqyseg0la09LN5SQEUhyrmeInGBmO5bzU1rt+eLpU7RtkMFjtSaFhNGS203m4+z+xR7ivd9VcZAoSCkJoSDNDGFUbePqBqsNzm1pm47JTUwik3PFE/704afEnCkZQliBrESeVCJaWXLO6FYxxUSOBU1ByoAStdS12Tls0+ELmCLJIiF1izIG5wdSGihZcP/ZR5Rc0ZchZ7ZTj5W6PhSEoISCKgpSYsqe1h7QNBU1qZsWIzW3Fsc8u7pgDLVI4ZPk+Wrgb/+T90lFsNrckEo1nSYK3u8q5xTqwbtUiL/SVTYiiiDHgssJKQvPh2uSTyznTbW8aVUvMj5SCgS5I+dq29NKs7q+pMiMbhta1bIdVggR0SITh4qsm1xgNjtk1rQMWqJ0wk913Vtf8AWNRIrMbN5RYkKpTNIzXn/jy9x/8Clp8jRyhtJ7vCWJ+WKOilWaUYmXgRgra70zgpgKwQ2UVGiMRdsWF0eQhrYxeBfASoZhorGWWTdjdusOjx7cQ2vJ6Cag1LW0kvsVW2Q9VG6v1oosMj4OHMw7hnEkRE/eF61tawm+YJTFuYkSU32RhYJVBk3i88f3EKYh7dGkStRbM7m2/XOqbf80jYgYiGFACY0y9RKligIZkUJUoU1MdI0iUjn22tQpvRIdx+0xPg908wWLxrBYdrz8yi1effFtbs0159tz5KMrpvCM0Ge2nUMMgW5xTKO2rG4u6ndBNXzp9a/yzRcFv/tHP2acqlV09BPjUHFYpm0InmrAU5bLXWDcbRidp50f0XWHzNo5j+5/QBgj58MjjKp2Xsm+6JskhQBCM/SOkipnN8m6op4mT9SFWWtRVnG4mHOz63Ghkl5CLpSgibJwFTOff/iEuN/vSWHQrSD6SBaxrj6V4oWz19B6xoMvPsCYRDPrcIMjx4xoDCmXugbWEoVCKEFrDSF4tDREX0jR10JUKRijiYMjKsVYJFXWUWUskqby1+NESvVAiY+UVPsVKReU1JUApSQqCzptqw1SBGKcMKVBKsVu2tA/79ltbjg+6Ti5e5dP7j0C9htHCcY2DNOE2ZfNraxT2WkKtRzXzVAInOvxYSAGR6Ogm5+SZSaMPT7UzCpK1gmfUmQh0VJiJAypEnqKAKkVMdUOgFa2TvVRIDKujFDiXsTSAoGNn/j08WpfBItIUb3Dbl+w0j6TYmRL4HtfeITeb0eEooQaD/GxvijdmJg1LSUnUioUJFZV22xGI7Mm5ISUgmk3sF0PzJslW7/BTT3K7A/BFIxp6wraWMK+sGhcJOWJzXZDLhUXe9gtMGhcriI7nzPIiChACaxvzglxQuzRd8IkckykxuCdB+rBS5hSBW0i7bPnoIpBaVWFgjkhfCHkRJYKP4xYLYmlVERsiLVQ6B0xOS7OA7PZnJwlZ6d3WG0uKk5UClwYOJ4fIorEhZ5cfj5RrXFQZRUCDQRiiZAjUmqIkc5oKIpSRBUsiYgwkuwSQjQIkRAlVBdLlHVrpQtS6YotDqny0XJG54bNdl3xuyXjiiLtenwqRN0QvGeMDqtqh0SISqET2pCL4aXX3mZxdMiPv/cPWQeHUAq5T/aKQr2MXTwnK7GfkCa0UIxhoGRZo36yMI2RxWJOEpLRhWpmjz8niZV6QZSW7TghjGE+O2D0jhwTpRRSLlVypvdxspQpSlRUowp8+MlHxJzQRmFijeSsr1fMGoswmgBMfk3ey6F6v0VqjdTV0PnGK29y/vwRg58Iw0jbdURfKTtFahazDuEjTmra7hA37OrnT2iimhClmnW1NgQtKSLuC6gCrVva+S2EmtXvclC88eob/OAH38GPO2aqxeeEnyZ8TGyGkZv1CmUML966xXrs2QwjKiewilYIItQOTlHEaFFGV/trKuSc8SnVybbQNG1TsdyiY3Zg8G7N6FYYIxnHESEU33nvJ8QE7959EykVP77/AWOa2KxXiJgxXUOWEwJFTAIlJVIWVGMRThBSomkbdArEGBCyOnBccnUjQEEKj8qC1jT45Orv1Foa3RL8iBSa/dKdGHy98ApDjBFrNIfLY9brG2IYETLQGEX2ohKblOL2rTPeevkdrjdXxJJJIbFoNbeOT/ji2TUhJYTMWK3xriBS4OxgzquvvYrXgrjZcT1sUEKiUeSsSNHR6EJKEdt2UCymgWm7xVhTnxklMY49RwenaNNim45ZN6Pvd0RRe3NjFFzsRvI/e6e1PrN/2X+waIGIVEYqkqZrUcpUhFtKSAQhVonIFDzSKvIeFRRiXZGLUB+AupEYp1FC0aiG7bRDy8x8NmfajkiZSQW2PtSCUc5IASlXlF9JBmksihYh63Sw5D2QpGhkNZnQWEvMgVQK88WcOGWsUITgSBnOTs4Yx4G2s4StwzvP6Hv6vkdJwezoEG1a1tsb/LDlhz99n4Qk9ImUJF17SNKFgicXVVF4ItOZjikETCNJpZZFxt0OZGG7cTRtV0k/Ya9VThGFwsWEQjC6CaM0p6fH/Olf/R2+/YN/zOSvSD4TRaDkA5Zzy9PtrmbdGksW4MaRXmiMtLip0kxEruIhciHIyNnRjOlqYAgTTbG88dLLfOtXvsoXjz+kbUzNq9Ewm1tWqxsuL55WoYTJiCjJUtB0M6wwyOz2kYvavLaqxZiGIkbIgr4fsVpU7niBIhT9bsB5T0y+xhlsvYGXAo1q6ccdWinCFBDGElNdd5LB5YnsPHG/vSkIvK/xGalAGVG1x8KSSj1gkgPzWYsPBe+HiqCsQ2YODg7p+4GUBO2sJeSadZRF7AVHqV6mVF3VpSIwqqCKYJgii+UBWgu2656m7XjxzmucHJ7y6Wfvs7vacHTrkJfaji+/dMS3fuPrnJzd5d7Dh2zDD7i5HpiGHQt9Qnd2wvsPPycMNbPb7JGqT58/4vzxDu9gGit6CyHIokqjLm82vPzCqwTlCVnzk0+uuJp6tJAY07FYVtOx6Rpk3G8WVD2ATNNUS0lCY+ZLgtuS0t7KyIiVhSI0PgZkhOOjFxAh8S//yrf44MF9vvPR+2jVQJYoUzH+612gHyakVTVvLSRJGTIVj6e1Je9f9kVuMG2HKBUXWXLGWElrFVhNvxsRSKSaY7Ti+mYF+3WrlBopDBLLvKt2RiUtw+QY3ZNqQ83QNYbj5TFb54n7iJfQghzrM2m5OKBPQy0/Zygyw954mXKp+nbbIKXBp8imv6Y1HcZqNtue7a4SgDJpn1e39NO0Z2AJhFSEmClSkfFYA+O0I8WENZq+3+FCphFV5hZLFaxoaXA+kGJivliQYsD5iaHfMMREyAmtG0ROCKN5YX7ArYXl48fPQEsU9RDnXEJQt2BPr87r5zoJdtlx98Vj/sK33uY//Yc/5vF1X8VUOdHODhm2O1qj99KTREYwOU/IYCIcHx6yDRM6B377a9/k8fUl739xHykzMdasfoyeHALGCjDw8f37fPH0khcOLMIkRlUlLgFBSRHbZJbzI3b9jpQHlAA/Dogs2IWKjzRKsvUTN0VyfHLCsL2p+WVZKU7r3QYA23RM0w6kYZxqBEJEXw82QtTIUMqURiB1w7w7Zhq3LBvD8/UFRoErkilFZI5kQcVyCgtxIofaVTBWkIJGSE0OI+M4cXb7FQ6aGVf+yb6QqrDFMPQbTmYLXjo74d7FJa02zI4O2Gw29KstWmhQGRcSSztn6yaEkajW8PadA24vJFlBirkWXI2mXXSIbe1KSDKujs2RQnFwdEL2npXboaSsk+HkUMoiSr0AxyLIQjE3lpwhG4lJilQCqggaoynSEIPn4vqc/+g//j+RqPJCIxW+RJRp6ha0RCwShMTFET96YvG0iyWpL5U8pQ26aUC6SqAShUYKRleJHbIojKgPaKcCKgu++fafYbO55Cf3vl+9DxlELJTgmXULYom4yXMyO6L3OzxVhJRzwY0TTTsjpEgIaxq7wJqCUIIwFWbdAaJEcqlRrFYavMhcXD/jpTt3ON9tWU2VsBNT2Yv3JI2ukaHbJ8f048RIQEsBqtDqFi8iOpUKB9CVWBIppDSyHRxi3JHCllZbvv+DP6DfbokpEvsbxlzq1FdpBIWb9Yqfffgp426DsRYXJ3L25ORRjSXEepkPIaOs4ujwgMX8mMurp0yp4p8nJ4DCYnHE/HDJ0+efc7B4CSMz4/aGIgW3lrfrdzxEUiqkKPjZw09RUmHQRF24XK1ZLA4IMRB8xKgGrSSTmwhGoH3tGCEyB7NTpFLcrC85Ws7Y7HbkWOiaOdJ4UnTkIkgCtK2xlhgFMWwxXYOfAjH6unXXkvliidaGy6sLUoTV9RVRCqyxyFxhFlmCpUo1L1YXPLu6wceqXeg6xeHRnN3Uszw8xU8Dw3AN+5THZtzy3Y+e4OPIdrNm3K7ozALbNmyGFcZYDg4MX3rrNX72wacMITKfzXDThFQFLXSNFsYMEp5ePcRQsE1HazocA0VAKoKSEjWU88+n2vpLH+I7ZUmyZlTH4GqRjxGouLQUI9baanUrhVZZlDE1HyQzhEoOiSUyuBGJYt7MeP3Oq/z4wfsshGK92lFibci3szmjH4kx0amOYgrj5JBGgdwXb/KWEiVaW4wSuCkgSy2nBfXzDFmltozTRPCJEiM5R4SSXF4/gZRxkyaLKkTIORF8YNbOeOHsTYZpZHtzgdSKcTfhRSKWwmLWcnr6Cg+ebCFZlBJIVUil2uVWu1UVKHTzat8riewFQmrcNGG0IsWML5HG1gehMBJRqqEzC8nNesvnX/wMP46UUiMJLuxQ9pTj+RlX11eE4PeZq0TTZL521zKfzfjDj5+Rkq4FOV9Pybdv3+LPfOs3+YPvfZ9p/BytFJfba/7gD/8J+AC6ZYojWjjElLH7AqGSkhAzQkmMlFgiU8h7mZeg5JpFD7knDiOtNVjdgIr02x1C1MlAcj39uENIWwvIMe4xcbUw6oInxGqStNrgfKW45FTQLXgX63S2lFpcE5XJHfcHnk43lLL/uylVLwAoXNIcHi8p64DLqRZ2EshJIrJAyzrlzUWiFBwub7EZN+gM0gCqMmeFL4RYpU6Nqus7t9sxazRKG66un3J1dVELmrOWoBd4fUTbvcD8+BbqYMnRUcsL1vGcifPgGCbP1c01aRopQqCUAZGIMbJeXyOExAv2haqALKVOXlUlKJxfPuJ0eZcXX3yVjz69ZNl1ZB/RwnBzdcHzi6d0iLraVBLnHSSFVJK2UxhpGV1fCS4y0BnL4BJaCJSpToXGNjx68pyj5SHf/+RTTnSNh9T7VaZpDcp2iKyxbcZNrhJjjOD2wQkuZvppU/sRpbBd3yB1Qqg6GJB71XcKmZGJFDNnZ2eMu1Az4EogSqXWlBIh1S3BvLFYY8gh4GXkqDnCBUdUMD+cUaInIXF+qC++LJFKYajiMD8NSGoxL5ZCa2ZMY1+lI7JymmPK5ORA1viVTx4EtTiFpDEtkVoky1JhdEdwI1JW8ZhLDmMskszUjxRpq11XdDStJcaINA3bfk1MNU6AsftSXo2vlFTLabVYZ1h0C5ybaqk9K9arDcNIldaoOSl5Qghoa0nRcdA1bAe3f4ZklFQ8ebqmVQ3t8ohyPVJ8Re6O44g0kiIFR7Mj1uMKKRLkeqhzg2M3bEl7jvi33/+Ag27GUbsk6IxSmdV6QGmDKDWGJ0xBZih+4J2XX2azyVxuP6sRgxIoWTCNA27wdROZI0YrGmMIPqOUQgNKeD6+/xlZNJgcQUuiMshSKD6jpUJLQ9MsEAlcHBHSIKQGKehE7TtEarnXTx5loY+RQuTSFVq7JEeH1qleYGVF1GptKSmhSqRrW5rmkMHv0JqKAjVNze6nkWeXfVWYMyIktGZB9AObHOmmCYSBJH8h5kq58sqt1pSk2AyuCvhy/dncjJ6XYkFpC2hCqhvaabfbl/Zr2TmJRNe2vHrrRc63wx55l6nUXUvM1UORyr4UHCOdXnBycsg7L7zOH/7k20w5kYvEaLDW0G8mJC0ujDx4/FG9OP78aqcFOTsOly8wOzzk/PGnlOzIOVNEjYD1o0NpUbeZolLojBKkWEk10QeMstUEGyOTk5hWAxKRM+9/+N1KqkOxaBtu33mDJxePyT4AhvlsRokXbMYbfBQ0neGgO6B3ns2U6uFFWBTgXC2G3nrhDSjnTJNH5FrStXaBEopMJpXENExk75CyugJKrkjfKWf6fqDt5qTgGYcd5ReX9goUiKHyx4tWpBC4e3LK4AJjrGKu6DPLxQLnJ548vEdOpf5/GY2ndgAXbYvPlTA0uYC0kmwaSnZYaShC1JhScvtuSM1s/+lf+22OD4/4//y9/xxSQes5UliwmTGu6Z9tyL5w4++Rc9lHXgwXV+f4qEklkhEIVTDtKW7ccrToUN2cm+sLXL9DKYkQmrZbcnx8ysXlc0IaiN6DrCjj7faGLBsKBjcUSpF7is4GoTUaTaDULZhpSaqnERKSZurdLy5Mnba8cPsWg5/ohEJESVQJVe8KECI51dJUSZkkCjFn2Oyq60AVVJFsd4XJ1QuKbjPFO3KqLpGZVtw6PuLTz39G1x4i9+Kt1196g4NbB/zxj78LVFPs0/MbAg1KTGzXV4RYuzRCSE6PbmOcYz1eI3NFSpcSyeEKpXX1+CiFIIKq38F/oYf4N196i8+f3OPg8ICi4GpVsYQCgbI1enDYNcTg60pMGWJOlJSILlZZQZ2Dkkpm1jTY7oAPH3xUMWpa1rVeSWgMu90a23QVD1gSIUq0ghduvcY3vvqrPH72iPuPPsH1PdFHvK5rmrRHr6VUKtrHCEKKpLE2gASVXpFFIfvKw24bS0geZGa+nLPrew5nHfcf/BTV2L1lUOLSyGx5gJxGcvA8evIeiiqKUbpFiILRiimMTLnQIrAxMJWC2r/IQ/YYKWhtQ2k0IgSUBJmroCbHyKxtSKFO04bkeOmV13lw7yNC3lFS5mZ9he9X5OJRKu8nfgWnCgcnlhfmc1rznGF/cZIU2mZBmEb+5Ac/xg8rGmUYfGCYztlsqgH2yM6QFJQwSCXJXmCyJERH280o+xiDz3Br0XC1dSghK4tfVnuuTILZrOPL776NtZmffPAR/RTotEFL8K7KK6SqB/uSCl03Z9gjvoQUaGsBRaMiPmUa23GwPOD68oKCRO0NoFqxL/3l2nPQqhbGGlWVyFajEBwcnuKmDcfzJZeravNLJKbJ1QyoyijbVZvf5BlkS04SjIBUL4Y+Uwu02RPDAMXQzY/Z5p6YgWnEFsvdW7cpGaYUuIlwOUoerRx3Hj3gdAg8enrOzbAmxh0vdpGX3nyJ3//eDVq2kAdK1vXASj1wCBLSWGSWBFF/bnNrmfxAZ6uwRJuRMtznv/M7Z3ztrSVKWFabgW//9JIffOoJvrDrPVZJFJXmE3Ph9Vff5vLyEiE8zkFJjqEMzA+PmbUNSilaDTebFTZnFrMl954/Ym0bpJJgBW0yhORqaStlDIlkDPNmRj+NnG+vmLVHNM2MyU0UUdXw0gs605JkIY4TQhsklTqhJdxcr/HB1cNgkAghSDkijUAJhfcOHwdeevEuD55eoK2laea44Ml+QBvN1g8M3hPThEoZo6vlVWoFs6aaFfsNbprolktidCRqlCKWekmTsopbqjpM1edEUbXsREImRdGKuTWkYnjplVf4/LP3ETnTSEMUmnHsUaKiUbvZnBQ9UxgpzmF04cVbL7LarOinHiETIVV6iBC5klPSHgkqJSlnnK/Tf6k0XiSkziRmRCIlBHJyKCWrkVlXPCIiwZ7KIbXiB48u+OHD84pSLakWKJGQC0lUnOvkAsoKpDDkmFEy0xiFCwFZank8ykCvAkMZCLvA3cMZzFp6FwlTxCjD0fIQVQozkfnuTz8hS42PHoWi1RonI1q35FAvTKJAioJ3v/ynWV0+Zbt5yjZOWN3Q6I51vyZKic0QIrSzGSH3GLtkOZuR/ITVEmSNhUg0MdUCtiiFnKsDQGtdC/jRYfYI1W7Rsdt4ss9oaWuEJnoSoV7qVR20TG5HkdV1IktBZoXIhd3qks4ec+f4Fa5Xj0EqhnFEK8nx4pTz/oYqP6yXvJRiZYOnhI+Fo4OjSsjKgeIjTdfy0aNLLvdZ+aabM+5cLdqlhGrqpFw1GqaI856L60sSMDlXcy5F4SeHVIbbt1/Au4lpHBicQ2rB9c0lP+snchLYZkZIA1Ir2u6IV++c8vzJ58RQiKOvYS0lCTFQPMz2pt2bZ0+RBVwRmG5OcY5UCjmm/YWkoEX9hRnRUlRhinWTJIug1RpPoemO6jaqeLZiYkxbjLSAZDcF4rOne0kjbPprDnRHjCC04p3XX2c2P2N9dcHl5h5SQKsVEoHzgSAkzgeePvqEXAJZyT2lRKNFZAg1+jUOgUfjJTrXoZyQGZkzjkSWghQSOzGgSqTIXHGg1BKlsZKjoyVXNyuEh4Nmxq+/esLvf/CAFMHFgDEtxlquV1coYRAyYK2hWS7IU2IM1WIurWTwK2yw3H7xXZSxPH2+ISRPKQKl6pawlQKpGkbn+eGPv8e8awghokzd+Ltpg9Ci7igKtO0cY1rGfsvkJuYzwzjuKEqCoEachOCV2wc8HNZsxi3ax/oZzZ6j2SGz2ZKAZt2viMlVt0Vh/7OeMJ0guoHGNoQIy8MD1jdbSqlFW6k0x4tTbr1wt1LGQgVImEYThsRiPqeMDttIQvZsbrbcpIxtGyBVH4Cq/h6BoIgauZxCQapCSLESClXtxRgx59bLL3P+/D6BwJgjB4dHTLsNMTnW/ZrROfrg6sFfK754+gD5LJP8gE+FnBTj4xvefuc30FLw0/f+Qe2U6ZaQHSiYzY7Y9Rty9khjSDmzbJccHi159OQxomRCyshc/RX/PA7yv/Qhfjv2qCRpVcvT9fNqDbT1AJdC5Ou3T3j37Ji/+1FgKp5ExKqGKfRII0klIKVFxFKnJCmwvX4COZCRxCL2t8tKeYipoPY5+TR6Qprqyk3V7Nrhcsmt0xe5v/qo3vD8RF2qREqMFculbWUQZ4FCVm1xSVVA0Vp8dLSNYdf3KKU4nB/y3/pzf4k/+PY/5vz6EjtrCeNYJ59EpGzp5ieohWO4vgYg54JVAi0zU5gQ0uJdRGp4/fiU1TRBzky9Q2mF1ZpWzvFuQMhMt88iTFNtTmdR+eaheGbtgr/2V/9n9Ls1jx4+QjpPqxv63Yqg2zpNFgIfHClljLV856MVOZ4zOoFRmj//9ttc7jbc38aKSNOa6+26Mv11g8Lj84QWivVmvV8vKWIsJCJaaVql6OwRtApKz+X1FasBlu2CIBSvvvIVPnnwPkVOHNoFZ7dv8eu/+jX6YeD+g8c4d0XKAh8EIWuOlkuKKMQ0onXD0eEpUxjRIiPbDpUyUurK4Bd14ry5uqodgxJJYn8d3Nsx3ehpjCQhkTHioqj81rZhN0WuV1fcPVryzt0X+X64z+Qd49QjpCBJRfSBtkl7tX01wEqj9plPQbfoONYN635FDtDQMsWBfvMcpWp06+cFt/PzJ8yWx2ShsM3ELl7x8MlHqPKcVp9xMXien2853w500tOooX62S8DYlpgFBfA57dvxBeET6FL17kJV5F6RKFnJQL/xFclf/e2X+YPvPuJv/r17DF7wyu2Gf/W3XuK//dua/+N/8jFDL0hSkJLCzgwpJB7d/4wkCsFVqoeyAmVaDm8dsMiCv/qX/1WMVfzu3/m7fDY+4cnzh4BmDFvm8zmTq/liKRSztk6WvDTMG8PpbM5uqjg3368wOVFiAWmwOtN0c9LkK01A1Y6CT47GdHsMZqo6+ZKxMhP3W5dEjRwoaSiy8PHnjxBCkHXmMgRyjCyOT0k+kXxiNusYk6MIUdGaZESucb433nib+08/5Wp9hRg9ShdmTcNYPLJUT0QpESMkoRSKkChpaoY+BhZHh7hhxHvHJBRFJK6fPqQIQWMVKRVunb5M1on188dECt5P+y1iAG+QCq53N2z7TcWjylK/GyXSasvdu3dZXa3o+wGEqKSL4DBaQhYIVaECRQSErNPTMHokCi0KiJbVZkIIRSqOnOpk24g5kkA/VG9EFoWY1b65XbGJB/MDpmFLFIVm3hJ8j513mJTopGbwgcW8oxQDOfPW7UP+13/tN/m//t57/PDROUpJDg+XGCPRqVByICIJVLwbIRKTxhrF4dGCzU3dYEDCmhnb1cBq1zO6PSxAagqGxfyEsb9GmhkyONwwYO2Msxdf4+L8PviEshlQvPv2m5wdHPKjn35I7wI+jCAkOWVSHDCi2R+GBD5M7PpqJC2hFuGmGJGNIOdIlg3a1IhkTI4kJU3TIhEkN9WNZYmEsOH51QoBGEDJStBZ9zfIUmlAImW0ThjdVtU8YJIkj7mKl2K9pI3eEV1gXEdErM4LJQKogpUGIxSDiDVLqiTzfS7/zdfe5Pn2nMvrS1QU5FwjL+cXz0j77dC8neOyox939G4koxF5IqdEihrvJWUIJO/IpcaKyIXgA/t5Ij5n0voCyLTNHJMDIXpkzixm1SCaYqFrLLfOjnn85DlIQwoeUSR5/25W1MthoscIyZ3jDj9KgkuMqUcoMKVj6FdVdqda5gcndJ1mvdrSYHn2/Blf+dKrGHNIkfX+EnKopmjp8U6ilKbrWkSu9nMpwCAhJZSRGAX9GFgeLHn1hbt88eQxNzfrehEue7N5DEiVyLnsfR62ok4TNEoRfECKiNKFMQu+fe+CqQgKASMMpwfHXFxe0GKRrUbZQmtP6N2aTbgil0iR1Wz9wsktNtstl+dfUAh0844SHUJIQnY1+98ecufOXT65/zHXN0/Z9c2+cBqwbUdDpaTkUrexKYPIgSIytrU4H1BSIa0ihgIloFXDYrZk0XVs/YjzPRKFVAYfA++evcrHz54zuGuMFmitePWFl3n07DntbIYQ9Xe7G+vgxt2sKHucopSSkATL5ZyvfPUrfPrZJ+xunrHa7bBWg0xMweOnvk7yp4EUKwFHCVEjYftcrNYZLZsKSVGKuepwfqCohMxAkfTesVi0PHnyGUVldCnYInBDFQVq3RD35B6ZC8Z2hDGw9WuUylhtGaJDaHBxx/nzj2p3Twla01Y0NgmREnfPTri5eUhKiigzKWZudmt200DIGTPrUE7UDmXI5Oz/xR3in149R0nFzvcYqUg5UrKsevoi2MRILxXZKEIPx92CN994h/c/+oA+9Bg9p0hFwZFKxIeprq9KnQSlsRoOlZ1hpcFa6m0ZxWJ5RN5eE4Ln+fPPuTp/hBWWSVAxbQSarubACQGlFcZUC6INhuPjO6w3a6QpbFMgCWqBTVX6xPLwhDCODP3AH/3BP2LbX2OMIMWRVCRdsyDuLxs3Vxconck+1OzsPmeZYqFe/irzuVWKp+sNLhesbZm3HUUqXBxx0deHqih1cxELUlqstRwfHvLi2W0+/ORTNpsb/vHv/1coBCWMkDMuRrQBCBwcn3J6eMrDBw/QtrBLjmG31zYXTYweXxJvvPgSP3vyfVwOrLarWhaNtTyznM1I2VNinTpUzGKDyuCNIIVCEYkwXhNjLUgZZQk+M8iAFIl7X3xGDp5mNqM1M+7eOuGrr97m8mbDq4eHXFxfouScIiLIzOmJ5eZ6h0+QUuLq5hytLMvZDLs8ZXf9lBAnlNC176Ayk4+02tTPXTGYRqGAGDJCGaQVKFmITrGYN3RZczXVg49Asd6N3H9ygc2RW0cnPKmDf7z3LGZznJvoimQShSIqsaJtoJ8yMkreufs1vv/pdxAIejy2mTGbHZDLBiUVq5WjUYbl4oghjUit8WnL7spzP98w3hxRygVTLKynG3ZjYNhtee/pOTEmxpx4cXkMSfFkfYGouAEECWtaiiiUWHsOfZyYKQuy8Je+dcK/8ht3+Q/+wx/w4Cbsy7eSTx94Pv70MX/xN5f8e/+jL/Pv/0cfstslggxE7xFSUaTEjz1lP11VGLLwXJ8/oT17kdt373Lr1gmLP/hjrDgnqGqyNLmw6I6J6Yre9eBcLfZE0AWEyWzGCakkCk1Rqb44RUu/mxBiqnEp7ZiGgJl1CJnJoSHGAJT9xaCrCNu2HqJOTk+5vrxGa4hpInuDFAUp63/zOHrmixmNbVhPa1SjECrSGkNJiiirsE0qi1SCj7/4EJd6ukUDRRGmiSILxjR0ywPC5OnHFS/ceZEcI1frFTFlUk4gRD3c5EymIJVBFsnOj5SUKFHhSKTdBTF5Usm0TUMi0jSW1swJ/Q7TLBmnHUrmWvyPch+tqznWq+dXjMHTtA1j3yMwNLoDERlc1dG3esYUAhKJCwNSaUQRzLoZMRg8mZQcTSPxPhF85MW7b3Px/HOgXpizqPQxJRMUQQmZYdzs42wBXxKiwDSMKKHYUCgxM40B73t8KNxM8He+8wkPL1YcHt1l0bVoCs+unvPaySnH7Sk3Tx+jS+b4yHDQdnzy+AaK4OL8hnm3gATHyyWrzZrLq88QpUZaGisIcSLPLdM0oJsKLlgslowlIqXi+uYCNw0cHx0xuB2T91xd32AS+NEz+oo8NLOW4gNFF0SupInOHjD5kTF6rJ6hrEQJmHykOFBak7xHmoaiBdZ0HM6OuO5v6DqLS5FQEiXLenDcG3p98bStxfkRWTwpVnKZMJIJgUwRnRNKFZJoKDpXkZauwhmfHKAoUyVgCFUL04tuxjAGWmWrKyOVWvQcHUpKHj97xjissHTcuXOb84uH3D484+LmAiH2RuEomHJEKLPfCLSUosg6V9rczRPUdamxxFzQqqJ1hRSVnoWoXPVYMMqw6GacHt3ii6efwFwRhkTIsOxapjBxcXVDpuCmHrRE7tF9SQm2+60bSXB0dsCT1Q1CG0geWSonP5A4sPU7JDX4FLm62NTYXyjs+pEfvvdHiFKjZTolwOBDIItE21qQksFPKCFp7SHz+YLt7gF+isikf7HNl0lw6/QVbtYjq9WWpq1Y0M12g7IV3ZhSjfWSADMjB09wjuWiJVm7LwULNmNEa8XBbE47O+TV177Eh5++X8kvk0OhefvLX+b9n367br4CTD6hTGY1jTXeIiuC2208xpj95VBgulPOjm+x26wwotAcnhAmTykjs3ZGzokhOdqmww0DioKykTiOmKLACEprkCnWeKQUHCwOKWNgvRuYcr1UKqvIvl7iYkx89vQZk9vsu4oQYuDJ1SUlZXIQtEctZMXg6lY05YzcUwWN1EiluNo+45/8f3+PcRxomtoBKKUggBgCXWsogG5mCJWIcaiF12yZLxum4YZdijVmIyTvvvEGZ4sFOt5AEnz7sydsnaOQ2ParalXVilTqu/9wtsCHzOAm4qRhH2XG14hyKp6SBFpkDo/nDH1ApMzQ30AWWG0oIhNTtW+fX19xcXNNFpGZnTHFSN5fuNO+MD4NPVpWn0z855SJ/+VlT7NDApmYHCULmqZBqtoWLimjjAEKLnnIhdPD2xzNj3h88ZCIR6RAljXeUIogpPoQsN2cXDzeT5Cgmy/RSlfiSYmMHr761lucX9/UnJoolceZFEpptmFTsV1ZYaUiuAlBQtkWqQ1aSE4ObnF1/RTTSbaThwjWVM6xVpV3WoqqjE8PY1wxt3NSiZVJHjNam7pKix6rFTFVIUkqmckNFEBQG+giFxpbTY92LtmtJ7RRHB12DJsRFSVHiwWfXVwgZOGgXXB6dMby8JBVv8bFxK539NtrpMy0ixNkCBwfz3jy/PmehAKLxSEhR4ZpQouGbjZjdXOB1fWhSlIkoZgvLDvvSSkQJofWCmMUUkiiy/XSoU3FgJWClYqMRCiFohCzI8WCkJK2m5NjQsuKAc2lYLE1fpMjs27Gv/bb3+J/9W/8RX7y+QX/8e/+fT78/AESjfcTXvi9ZMVjmzlJ5CrKSAIlE0JrckgQBapRGAsk6HdjnU6IanpT0tSIS8lAIpeMMZZcGmRx3JotuOx70PW/ByQn3ZIXzw7Z7rY8vtrxzTdeQknDdz/7gik4yJ5Fd8gQRtpuQTuD9c1AiJ6mnfPGy1/j8y/ep7FLlC5Mk6MxlhfvnvHp5x+TgsAYS9vNWSwWpJwrjsxoFkKyKw22zBgYCdMl636DKhOEQnCJ2XJZ890uMpvP8EVWSVHMSCUY+wFtDF5GLInjRcu//+/+Kv+7//BHPLjyqCKr4KspgOUvff0b/Pjep/xb/9op45D4T/72I7wI5KKxWRC1pCQPsjLKQxRoUw3HXbfgy29+CSEFn937jM1mh4+pymZKxMeBruvwKeJHh5ECKS3z+YLV+npPSUmV+pDg3Vdf5+LimigLY3SV3iAVrVJsph7bzBmnEURlRZec0FoTRSULiAyzxZzRT6QQKTIxNy0ZwTh5rKmqd2UKCs1E7cQIYGYtSihef+kuz1dbhiHg3ECMtXiptCWF9Av7bCkF1XRokckxc/vObaKPXF5ekvc4xiRitUDHsCfTKSiCdjZDCs+7Z0ecb3Y83vTIJDg5OGHneiY3sewkoxd4P6KUpSRBEQkUGFElU0mzNwsXpDR7hnKqnGMhQTTEksjF0aiWMU5VwNdadNEE7/d4vypgyQkWt15mvbmi+AkKLFoLWrPqd6giMcYSgeAGNJLZ8pBpGsg5oI2hpJrRb42p6+Wc0MKQqabLg4OX0UJxvXrMC7dfZT3c4McJkTO//u6bfPONt/k73/8RD58/QhiFlZrBeTCakmp67e6dF7jz4ht88vFP2W6uCaVGLnSRSC0rV7+OhGm1ZdYdMnmHi0ONeO0xmKIUQqifIaU0kw9ISqUFqZa7d+8ym7X85IP3UEpx++RVzi8f1R6ViCAVp8e3uVhdVdFg0yGCx6gGlwOQmJsOoVWVbvUblKkIRCML0xiQtsrXfn6AKbkeLkvJCNEA0C0OiNkhckaxYBgvENSTUSLRzRqSbqq+PnuyKrjJY5QmF9CqULRlrtsaMcuBmanYRqElsth6MCmRmTBMOVQDb0p1O5NqtNCalnm7xE0jMQ5VoFXqkMWo6v8w1RFGFAKDJVIQIqGKQAiNbBruHN7C6Mjj80eQBUs749/4U1/nb//kJ5yvh4oUFhCSoDWWfhxA1bJf3SQcEt2AyZr54gDRFC5urmt3CUEsCWsNrZQcn9zl4uKc0Q2VZmU0JSeMrd2fthiCzOS9C8G0DSRIznH7+IjrzUA7rzIeEWqMDKP2iQCNFS1GJQ5aw8WmxydqwVVWt24StR2wnM+xtmO9vSHuje0lCEoOtMsON0wIVaOiOSmktLz92tv8tb/0V/i7/+jv8ZOP3uOgXbDzPQApVSqPpBKJGmHx3pNLjWBIJFqCUS3zxZLXXnmXZ88e8ujZA2ZzS/CRrpnTdkt2447d7hptG3KSyBwxRqEVtLplNYworVnMFwzDhlCoVmgfsNJUw66o0eRWamLJtLrhYPkiT55/AvuITioCqVJF6+4JYSULigzVXCwtySWU2l/eciQJSP7nQ9faP7LW4mPd2pacMUaT074bJ+pz9mB5C58HQr8jBg+qAQQnbUfXdfz6rfz1CQABAABJREFUa2e8fHLI3/zOe/Q6cau1bLeOPiWSq5n5XDJtd4gWsJvWqFSlkFJVpLBWlpgnoku0jUEoRQwCKwtJSoyomOdUQv1vJzNvZ9WRkxMCTVaKtu2QRTGOW1QriL5Qd4SB3R4R/E/788scz3/pSfzy6Iyr9dPKUW+qpMSgsEphuzkhjbgEGoW1DZ6Azz220ZSprmhTzvUpICSdNiSVUbkWy3Kp5IgQPNH3lcuaCkbBettjBAwicra8zaq/IuDopx05FbrZjISnVYaD446r1Q0zrZmiZ6TwbPWIUjJlUlXZrBXOTSipGOOAsBopKvNWmFJXeynQasPoAloqyn761jQds9mcfrsCKbDK4v2AaVpSipU7LCWjd8jgGJ1CSkVO8M3X3uLZxTUPn1+xncZqDNNVEHS9ueTx88ekfWs578t7MdUC3luvnfKtd97kRz+zfP7wMYnEbhooMqGMILmBYaobCVUCQoAvkUxivR2w2hJCPQBLubfOUQjJo43BRYc1M7QUpDBUS2bOCEHVYO9X3KIEREmErOi6WgYK044hTLSqWllnjUU3hlwEU/S0jUIYQx4lMs6JecTnwKK1TK5mYLVRqP2t3seAFRqJYtzWUi8UpNRoWejMjMY0RBkYQiD4zEJYxpAoypOVIKrMrFEkMkddy1AkPZmPnu9w/hoXE08uzpk3c0qKlcigDPP5GcJfEXJhfT2Rc8QAjbIslkuOzg6xueXszsu8/9EP2DnHo6cB5z1N2+Kjo9NHtMtTzp98QVsKarT4LCmqZdAr+t4j80R2Y2XnRocyEJNDScW7r72Oz5r1ZsfNtCIlCC6itcFagy516/Nr7xzy0RdX3HvSE0vVVR8cHyK1YBwmfv8n7wOFf/gnV/y7f+Mt/p9//z5uYG+SbCoaMNdSaZ18N/jsODk8o7UdP/3wI165/SKbfvcLUkBnGo4P73L/4QeUVJhrieg0cUq8cPYCZ6dHfJIcOQl61yOkwvvIR48ekXOgaTumqUY4bh+d0RjLdJ1waUchI4StVJtSJzpFRDrbcHiw4Ga9oSWxOJzx5HqDblT9TFOlGcZE5p3CZ8VCVd55oxSqCHY+4H2pmMEE827OzXpFyQrv6mofWdfvCIEMHmHq4eT88pKUMkdnJ4zjhNttyTEwllLjcU1LTlR8XfCYruGDZ1dVWqIUpMLkxtoHSTVCt/MTpUhSSrRGE6MkR0VsCtEnGqFRpqEQyICVttpLpSKkxPHxDB8TIXccNAeU/hlhdKgkODvq+FNfPuIv/uZdDuaKkmE3ev74Bzf8ve94bkpCZEFIha5VdE1DinXjZkVLLBZpGxpasBrnt8TJY7RmDIHbRyccH8759NETfAh7e6ytpVgRMVoy6yw3a1cjQG3D9+/d5wf37pNKJuQMvjCfH9RIWJhojCbphgcXF2yjZHl0i1V/VS97JVUEb9EomcjRI0WLtR3LxYLNkxt0I5imsRY4g2fRzvCicHJ0RhEBf3XFTGuGJEl+x6tvvckLpy9w77PPGIPjcvO0HqhDIrgVEDm/fErKlWZTgsN2HdE5uqajFE+Sia5tyEUxjYoCtN2M6EaUEvUyFetkselaejdAkTRNQ0oK73r8tEM0VWaWGVFGo3LCpbQfkmWEr8/AZCQZAUqRcyaVTNfU78vghl+Q43TXQqhSnSgmlNQIDGN0+0tqzT5rK1BBUnI1MN0+tDxxNwhbeesUSSEiKRy0c77+yiGrMfLZsxuMoA5S9t2zk4Wl9wPnV48QudBZSxIR2zb85PklRcn977CgbVNL39OIpG7R6CxGdtw5fZsHTz8g4yluxJbAwijcFAipgFH0/UAwiusHn9SMvpTM5x2FKj/0PtPqGdIo0jRBTsxkyzA5RBG0tuXO4YI//403+O6nj3gyALah1aqy6kuu0REdGIJntx7JWSCpB/iZnRNzZtxfvnyIJCq+VqCILqM0yJjxu5FU6qEQIUjBo2aZ1XrNzz65x2p7jTLgpw1NY4gpYYRimjzFWBpliCEgSqlEtgwISSyQS8GtN6w23yHtS9jeVULON7/8Db7yjW/y7PKC3/uH/zXTFGht3VhoJUhJ0vsBhOKks4hSGJSkBI93kfnJKR0dV1cXzLuOm7En2nqx27oNo6tCRmUUIiZUrMhnITWHx6f0u2pkjzkTQ0SaGgdNKULWkKpESTctKtdOm9SaECZyrJ8JbVucH9FSMMWAaixaGlQMuN2ANhJVZN16R0efem6udvzeMLCcHbAZAo6C7yRDyrWEqvc1kSkyjdcgDJ2qWGNBpd65MNQukRCYpsUHTycEVjeY1hD6gSnXM6oVLYlYEws51ZKybljMZgxuIkXH6DNISRh/7o4YaUwtb9c1zj/bn19e9tQ1lBvF3bMXmYJnPazwKZGL2k94A40yFBRt2zC6iYthoIiMsdXClYNAtUvICZkjLkc0gRwLVjTIVpGnAVFHGDUDONNcXD+nbWfEXFhPa7bjWG90WtE0EuenKgo4XvCNL32FH997j2m7w85P6bKkHy4xVhFD5dkvjpdcPn5a6Qwzw5gSITpK0RihkLkaO7UWLJs5LkRSnIjeo5RmuTxk6ndYKbDzhn6CVgtCkRRZy2FSgBACREvcoxj/8Q9/SidnbEu1mDamY3lwwq/8ypf48MOP2I6PSTmilaSbLYneoaSnpMALd075ypde5snTGx48eo6LAakzIlWtsdGSEEGWTECRY97nJzMZwW4YMKqhiEwKEdu1yH2m1ipRHzRGE2KksYrGLBmmDSJX4VHN/2XeuPsW5xdP2LkBKTLHJ4c8vfQYWacyy6MZMRWerCIfPblgNzqMsmizxMUdu36DlPUuerO+IsVKTyAVspIYVYuLAkEKtbEvkkSIWHN+KbE4WyK8IactZarr5jFHspAQE8poxuAZfOBLt85YtIKfXW7R1jA/PMWve1SY+GK7wg49LsVaTpbw7PohuVTmfkmVtBQKvPrCGb/2p15Ffm/N+x9/xG69opSJpm2Y3A5rFG6YaJsZ47jm6aMBKzLblWdmlxwvlqzG62oaTRWP2ZmOOFWhkUv1kH6wOODZ5TlHx3fo5i2rsfKjtRC8evdljo8s9z+9xy4X3n7tgPd+do3RDUpkTm7d4i/81u/wwx//EQ+Hp/T7HOPHD3fk/DqLRrJ1Ei08UgiskHhRULbZH9IsVlueX5zTWYNEE1wlynTa8sKdl1n1W0a3RggYnWMKoLVCG8Wylbx+9wXuP7pHFoGy9Ug9r/G7EDB2hjJzTIzE4Cm5cHDQcL5RlCFXoZwERLXBdmaGlEu++e5XWSwP+fTBPZ5dPqQf6+VglyKatD8BKb764jG/8vYt/tYff1IPFyHz0u27pCy47h/x8aMvUKKSFXyqhbUkcp3IC0EI+ymplMQQSUlgqP8MCGa6JanEJqQ6LRWSEiVmJlFSM/5cx01h3s6JaV1FTHimPKKNxcWB6z4gGoOIAXwhioxQCUkhR4HRlluLY04ODvngwT1CHCkiIUUtbKsiuFo9RwkDyrKLnoOu4513X+f8/Cn/y//B61zdjPzffvcTnpw7pCqcHWn++l98jf/Nl7/K/+H//lO2I6Qc2Wy2aBTGWkY/UITDaoHEsx3O9xtKQxYKZN1+5lLYbEZcyGihuXV8m+V8sd+OjVycX/P02WNSGDmYLzlZ3uKzR/chJ4oRCAUL2+GnHbLESiYJocZ4YmKzegbLW5yc3qGzDW4c68o7RVpakgKpEqPfkVZQZMF7jygCckRrzRR8jeqtLzg+uMXh4UuIvGNcbenMnO9+9/tYY2lmh1gim2nLYn7AenNDloYUpiqVKQbVNJQYkDljYiFlh7IWUsG5gJu2iFyws7aSYsYq+PJkyJJZ1yCQHCxOEMrw9Xe/xM16y/s/+zE5BXKvKq4yD5QkWDYH5LxD2GqTLAViiaigSASs1BQh6/5DgFAZUQyZKmTbbgdCAlUgijoo89QDvFUa3XSkPFISNKYOETCJwY0Y0RDIjCmAVJwd3WG7vcFaxbt3b/PkcsW297x+a8kHT1f4UsipSghntmFygTEFUhIoJdmmwHtPntTvtioQSy1beoexDdlnfAgs2gOE81yf30PEipYueSS4CqxotCGJgG4ErenqgT4FlJAoI4jJcHx0m+32MUVWmIUKNfby8stvY3PL/Wc/q6QX1VKU5Wi2xDtPLKISzyQoEo0yHB8vCQXG9Q4XJ5SsyFwrK0IzCzBtQwoC70byOKLbGnMh1+2XkFCUReWMKolGNGQl8cGz3a753vs/4PnFU6SkUrAmh+lmlKRoWotznhQnqB9rrGqhAjQrnjA7loszJrfFl0TXzLl9dIvN9YqLmzW7732PzTDip1BFjiHTmMJcd6ycJwnJ2XLO//zPf4v7Fzv+sx/8iNY2TNPEuO1xeYNPnjgmjG4IwdXhrdHoxlbcN4HTxTHrcYeUmRwiN1cXe4RJvWjUd3n1rIAklSqJErkaUVGFnKGEVAl41FhvLmCLIgn23g+JkhWE0Y+7Wv7WipgmpBCcnN7i/PyS3u1w+6y5Ai6uRsLgWC6PGcNUL0XCUGSiU7qy9EtAC0mKESkUJSpUSXTtjA2VIphdZAy1wAvgoudoscT5RBGSMU5YKWlV5ubmGqFqD215cMQ0bIgxodUBOfzca/HPfH4H/v84xD9+eo+jtuP2yYKHFzsUCi0y3k3kojmYH3F4cEBJkaP5nE8f38enWA9d3ZKz4wXPr8aKXxPU5nrKZAs2i/rLzpKYQCEJIpOCp8SEEImZNdw6WHC+Fx+4YaCxGikty8WCXT/QT2t++OGP2bqBZbMEKTg9eYX+QZ3o+FzQJbK7qsKLMTuWxaJTZYqnEsgiI9FMccK0lt2uR6sWkau0JZfCsyefQS6sQsbEniIFZ8sF45R4vu1BFUzKaN0xP1yyWV/hYqLvR7wJZAEiR04Oj8gl8Ed/9EeV7FL2XNlSLXeueErIGB2598kTVteO3S7gSiL4urYyuo6vVdtBmQi5oGRLKVO1pZVCKlULbKzABY0kkskYPePl45e5uHoIwGa3QiKYzTtGN4A0VTZDYWarOjg4hcsJ3UmCG3n8NGClYHl4xPpmDVgePFvz488uePLsEqssq9gj44b15pqU4Gh2wjBuSPHnyEjDFCZmTYtpO0LKOOeAjMagZEYajU4wZMmjJ08wRtdtgTAIBLP5nH4aoWRevvMGY7/Djc95uNsQrj0xJXATdw4C3/hqx7w7YrWZ+PTBjmfOQxR4WeVSIgmC31UCyR6pdn254o++/UMuz1dMzuGlq7hJMyd7j1SCk9MDpj5SskOQmGImZXBl5DpMRBGJWpCngXZ2gvMTlIwpoK0lFji/uiKkwOVmhTZtnTpqwfHhkr/wG1/li/MrtkGQRL3Elkz1mMfMsN3ww/feY3XTk3wih1Qv0UqSikSYn1+MFELDFCoHX6SCKLmiJkN9AfkIUnoen9/HpchsccKduy9x+dHPWK9v6qVDSUAhEzg/8v69e3zx9CmDn5hJgWnqKlQIoCSC70FmUqyZ/EfXVzy9uUQITRK6irqsJfmJ5awjGse/9Gf/Ev/2X/7vsdpO8A//Cx49/wLsjJmBqe/xBUoOSFHxYlPMNMYw9ZGUM/efPaWZLVHKEFPGe1/tr6lgtCD7yKJtalxEKMbBIbQm+LGSqUKgpIQ1DU+fPMKnaqZMZCiaVBJfevNtXC58/vg5JTpiSQhhOJwv2I0TzidmixlKaibv8WQObMPhrds8eFRlUWlPeJrJhqQEmzBy/fC6CpDknn0tJKRA28xwxWKlRBpL9I5FO+ONl2/x3/+rR3z7p8/5m3//ETHVPkhOiafXAx8+/IC/8a+8wr/373yN//3/5adMuZq4TddAhE43WCnq91tZpjrMJUVf/QE5Ikrm2c01AsmiaXn1ldf50jtf4eToiOgL58+fE8cPuL55yhgieddz1Q/QaNJUC6NCFla7VTW2Alq1IARuGmoJUQQm1/OVd7/C6ckpP/rgPcK4AwnrXY9uO5Kfqh7JbykiYmXNTGMlxScmH7CNhVhwRaOkxod6IdPCMfYTk5BIDHfuvIiPDu8LMSdEKbTaEnKsXacUQShiFNA0e4FNpZIUF7BG8eJLt+thNhzxjT/1L/HTn/0+2+kSdGS+eIHddsOyW9JYiVGacbihMZLoI4JatLXoirx0O7ShTk11hR3kEEkUrGxrybYkkBB9IiXHYn7MMG4r77xdcnb6Es/PH9I1hjQG1H4TLmSVmR0cHPPk6eMaf9X1Z/Zs2KKTQBhJjBnbwmbY4XIijgN/89s/RkmDRvDhRWY9DhQhmM8MQgq2gyfIABnC5ME25Kn++/uxRxkoVoJsUXZApIgUiXln2W6uMVJR4oS1hkxi8q4S23JEdw1CKPw2MDcWT0FbSZoSt85e5c/92X+b1eaab//Jf04KW5QUTH6HEJlpGLkZrwkpY0zL8uCMD+4/5NMHj2tGe4/964fArDXMZjNeeuGY9z95WIcPUiG0RImCdyMkjW4bSpqw2uJTRsvqO0EoXrz9EqrVPHn6BfVqHvE+cDA/QErNTb/BiYlmvEYQIEqCFEglCd5z9/ZLPHn2AGNkPRdpRdbVY3E4XxDdxG4c6iVpe1GlVqJ6UNabC6bk+PDeT+tzV+z7Rc2ckiMLA3ePF6zDNSIlSs5c7TzPVjd0jSUpSTKJFAKeXGVLMaAbSwEao8mAn3pCTNw5PWbWtVzu1hgh6OYLYt/TGsM4jLXAKSRKKoSUCAnjNAGV6Fe8QwPLoyXrTU8WGq016IQVNZYz5Fq8pYAfJp6MD5AIsqyEO600Qii26y1kjZD10pJL/X2EYeJ41hFSqLQ5UcgGbNOQXKBQMLLQtobkFR5HEhKkYUoTOUa6riXlyOhGhG64++KrXN08JSdPDImSI1ZrREnIlFnOZriQODzsODqc82izQmtRyU+mRoqkkuT4L3ISj+ZW1/DNZcPVemQUmSgKxcj9hKjQIHi+XZFFQtuOKW6wbcfNZsc4KiDTzBqGwSGFRGhDiJmDRcNm3CJHkLbDTSPFJ3yprXslJN969y2k1Wx/co/XXnmLew/eQxaB0YrtboMQBecS23FCa8U6rGqGMoy888IhT1db4pTIIuJTLcPZff4t5Nq2B4ExBikksmiGnd/rfcdKDEkZnWpbeQwTMVc7qBaGJ9ebik/Cs5zN6LcepWHb75hSRCsq0irW/KhuZ5xfnWNLQajCbD5n8LXAR6raZKsySba4MPDscsXV+ppInYjJpsWqQowFaSC4nhSrOj3LHm00FIvIgig8VrdAxuaCFHWyHkRg7a9obJ1kliRIseL8QgrkUL/EUgqEtAiheXz+MSGE+r8XgdKZoCVu64k5sdqec940/OGPfszxseYbX3uH/+b3v83KbSlZoZRgChsWs5bdbtyX2QIxKVJOTOtrEHXihywoaWhkwSdwcd+9yIrGqlrSS3WNt3NTvbnLhqfnzzH7rFoMmVQEL542/E//zbd49eUjPr6/4/Lyhl95+zb/w3/zLf7gO0/5T//OQ7LskEIxuh0FWXOkdkbOhfXmeo8Eg1gqRUnrTAhb0CAUKGUwTUs/XKNahVQa01mUaqFEpjEiY6KbW5T07IKHPVOpU5YSBb5kbNsx7nbMuwipMHpY3ez43d/7A/ppqFitInj8bMebrxzAextIgmny3P/iU2KKCAlNo6q3oJPMrSa6BoRHJEnWGW1URTqKQjYSIQpRFHJWkCUheEQB01h6N/CDn36XGAMxhdo/IFJSwsy7ysAthVDqlEF2C2RypGkiIynWUEE+I1krGmVJbiSnjLSCRjUUkUi5covHwaGL4vN79/gv/uu/xfX2hi8+/wglLLlE3rl9wrOrxG999TX++MPP2U2Rz5+v+eTploJgvlyw2q0JKaNc9VnUyFIhRI8VihwKmYKPGucDy1aiyXXCpFQlBwhZDZ9Ck0VBagOC/RpXgbD87IuHvPLiHebWsBNpT4tR/MY3f53Be37w0w/Y7S5rPr87wIctu34gRVnjMSLSFMVivmS93UEAt60WaGkMVllSjuRYENoSpaD4gE+17Kx0ZOt7QnjErj/k//1PnjD5hLUtBwfH9NsdcdwQpeb/9fvP+d++esi33jniTz7c0OmO1175Ko8e3sPHFbNZy3jjSaWQsqAQSTmymM9JMZCjRIuGUjLL5SGvv/IWb778Ni+dndScc3vA0+tznl8/+cXmgFwILtSXjRTkbEAGhFY0shKI0v4iWy2QlUzxox9/F6MMyihKmBBCY3Uhuh1S7k21RlOSJAG5aHQUFKVojarI06Zl0S7YbS4ZXeTg6JjN6pLWdKSUGdLIvQefVSdGpyE6jua3eOO1t/jg0x/jQiSSyGFCq45SMjmORFWYzQ8wUnFycMDNeks/7Hj99W/xq3/63+H+43s1aysFVh/yzptv4LYPiAp++N4P6HcbClVcllLF97ki6JSq8iREpWflSAyiekiMxIqWYdqhlEI2htA7jNDEMNBYixeVsuNcjzL1WS7N3g8ha6Z8O65xflcxl0YTvdsjC/eT+7KXNLqBhKBpW2IUNHPLC8fHPH58zrDHC7uYmJ+cQE5sxy0iC9q2mk+VjEg7w6URZQolK3Tb0jZzhk1PiB7VGCYXmC87iq/QieAmjKl0uRotFbxy6w2iczyK9/E5gtDIIJFWcnq4YNrd8Oj/x9ufxeqW5vd52POOa61v2tPZZ6xzaq6uHtkDmzOpkdRkSY4ADwqjQHJsA4mhGDLgOHaQAAFyaV8IVhwbQRTJkh0rkiBTIjWRjEiKTba6m91NdldV13TmYc/fvIZ3zMX7kb4zaIjwvioUClV19v72Wu/7//9+z/PoewTn8FmjiCgJ2lhaBlbdvOg/pef86hFKSYbkyVFQa4kRkoBj2/f4JOg/eMqqbcuF30dELDI0W43xrlitvRNIA1Y3VHXDZrOgDx1XqznXxBGCCiUEgyh9iHXX4b3nYHqdSpc+g8oKow1JJa7t3eHi8jnPzp5Qoq4Rk3XZQAeP1pbNZkOlawQVPjqENARf3hOoYoUXCEamYTtsaUYNWmru3brJ6dkJF5uWVb8qZVE8x3de4ZcfnfDx0/sEpTBqREii0Jt2U/ScIs4XQ2vOktpUHO4d8OL8lG5wbPotKUWcy1iryVEwENCVJYZAJuNDKGPxmDDaUlczXOjJ9rdjShlrKg6P9rA0nF48x1OGY8mDlRIhJV5rZA5U1jD0edf3KGIt32eU0lRmyjAM7E3H9H1L0IFV8CQ/IHX598gYIBSCnx8CLmdEjIysxfWZLMswK/oiM03OE2OBlCQJV6vnCCkZYkJXEmKJRkokuarotz0pSYhFdpmlYdQY+mHA+0gSkpT+5Q/w/5MO8V/64h/ko4ff5RuPLrHVpMRGYkbIIt5xoeXsssO7yAqFrQVHR2MWFy2NqfG+5a27d+i950E7FFmLqRiGyNV2UwqSUjD03c7kKne2VolKmvcfvYAUads1z198zERZvvTZ38/HD77DcrXEGFUe9q7kuKP3WGGwOvDDr73Or3/0mGU3J0VZePUpo5pdZlEpFBIpJcNQGMtSlGlhDJ7jozFIzcnlEomiqcccX7/Ns/MXkAZSCnQRRlLT6IbBSYSWJNfjQ2BUNRxf3+Pk7IosBJ+6c8xi0fFs3bLKDhUE2q3AWpSsSSmSgy8vDzKVrvBxwCeFUZlKT1E24/slciehqcn4nJhVY1wYyEkRRcYajVJFBpJiKNlfQdHZk2k3PcT4O0s6gSQnS20b+rglpIhtaoJzGJ1xYWBUVQUdJiIIhYsSXIepLZNxw91bx8wvL3j13htcLQeEraDbInPpPBg93rXvJVJJ+uCQWhMTVNoSciTnhBQKlRJDAqkltjYoabGmYb06A1kOYXknCxI54xWIpGlDQBuFkJm7N2r+oz//aX75q8/4K3/7McFb2mGByI85mFn+wp96jX//p9/iv/hbD9gMA1mBEKHESXwmJAciomRBhO5VY7auIAi9HxBKI3VDzKVrcfv6bWaTGZfzOUpVXL/5Ch8//GahrfRb1puOSVNwgaXMM8ZSpBFRCKIrmdqjZswge9abDhVgtVgTM1TGIjX86nfO+E/+wueYiIesdpM2Ywp7O+REJqCS5Me+eJ33Hs45u1oxrkdIaWmHDUkG6koxairmy75sHWQpfRPSTupRMJblQdyjrcANEa2qXYZxoO36sumRUFWWbSxTY+VBZ4mpDJuhKNMra+hDRohibBRWk4m4oUPVirDL/qesiF7x4Ycf8vD+fWSduXN4gzR3xLRl6DJKSLbdQAySkZkhtGPTOqSWrFctKqlyuNv9GfaqhjQkVF0u0yoZiB4fPLa2LIeOFHoaU1MZTdsPpKTwKTKdVEir2GyLBMylzN0bd1Fa8/TpY06EZNNvQGiM0bRuy7XrR9jRhPcfP2SzFrtuTY/aTd3bfkvKAqkshwf3ODoY0w4fEX0gVQULZ1JESE2OFYJA8p4QM0lGbuztszea8eGLx1xeLvjiJ1/h5375GSLWCCK1afjC536Qq7NL3v3eNxlCT5cGfvaXH/PHfuIu/+L9S7qh49H997g3skSzxzbEkq2WEqELjhNKRlpbS06RsbX47DmYzJjsHzHZm3B4cMjVcoFLPaqqy89faHzwoBW11WQfMM2EuhoxvzopU+Npw7ip2CyW5Lz7fd5tHrLM9K5nVI2IUZVeVSzFviwSUsJhPaaLkdY7lIlUVc1ABOFJLoHObFbn9N0KEsRYIVVdNjJGYYQhDAO2mfDWm9/P+x98lc5teDY/KT0oWay1utKkUErmGsgB2s2aSgo2PtKMbjCEwKOnv8p/93ceMb/8iJwTRhk2mznr7YJhOCdnT+9SMSVbS3QdI1tDTti6ZlQ3XG22hcAjBQcHhywWLYKAd4FBbkv2NhX2ud1x2lNMzEbXkDqyXZ+z2KyojMDFhAIqJcskWlmkBffbMjAfqaShd10hxRHJuTiHlVBkIXHDgEBzNDnm7ddf4+RixZ39fRabJcY4Li8vUFoxMoba7tPHNSiNj5m6iqgEWcoy5Ooj7XCJMYYQHUKKYo8dyhCoiAuLlMwqiws9Sgq6bSAgeHX/Go1JPBs8ro3EnAiD53vv/DIPT+4TRdkeDUmgjSlF7fkFtdH4FMvP2/Xk3YQ6qoyjZJmrkUUMAZECq65HGU3y5WflXcKOdp87JUgysTceczy9xcnlCbPZAev1FU0zZoiOLq2JOKrKoLNBG0kXIjFGplZx99bLeDvizpsN3/7mLxJ6x6l7SiVLYRxVCsmfufdpnl9ecLU63WE+JT6XjXFGMnhPjh4jCqhjGHoOZ/u06y1SAj7is+fjZ4/wIZAVxDxQBYXznpPTE6LoaWPGCM1mWaKS1jQ41xNSmVRLYZDKYGrDp156hZt7B7TDhqt2jZJQG8GobsplXRbcbq0lfaIggXURKmopqUcVUoJLPYREyIKLVTl73Ny/R8gtL84NzXjEZj2nqQrp6eb12zw7PWXIkc4PKGlK9CUltMyFc58zMRZbdtduycljlUAqRRcGJIYUAjGk4uOoyhaw/H3Fxq1B2RJzCxGjdpCQLMpZSMrds0AgRSwdQDsixMB26whp4PqkJsVECIn1pmW9DjgidMV+nUUiBf97coCHkqz/XX3df/ABMQVaPWbVwhAytrLFfihziQaIRFCRdtiw6Vrabij/BSFQUvD4/ILTVVvyTUkjfETLMnlQUeDcQHSOHAIuxB0/NiFl5unVKU8uTpHJMbgVIQdeXLzgbL4gW0tEFMV5HvBDyW1lrUnS8I+++zHP5guC7zFGUhlJ3VS0uxeiNU0p94SIlpmYioFREqm1Ydt6NmuPFqVB7cLA1eKcxkrGuqKpRtS6ZnCOFAeC33Jtf8Z4NqWpm5Ldyrq8mERk1DTloERkbA2qNkRt6IauPIRSIAQHMVLtfkrOe1JwpaCRI8L3jFQRfSSfGXxZlRqj2J/OuHPvFSoDCI8PMGomWKWpjGU6nSJzmWBXuvz8UgZji/Y6OY8yDfV4ryjge0dldBFSSXB5QNaiNOWrihQ9Hk8InsPpPt//+TeQCn7+l77Gb33rHVTM1LZGSzicTTk+vMtoNGXoB1arOUezA166fYtbN24RhcWohixAKMsQB3Iq5jPXt7h+zWZ7UYQMSmO1pDYjrLRoSnG574pkwljFuDH8u3/mFf7hLz3mZ796xXLdEUVkf++Auj5gudX83/+/7zFqFH/w+/cRZGpt0NiCczOCLEqjPCWo9YhKJwY3x7uOGDNSDLRtR9+uePXedX7sB36Af+en/xw/9oM/gneS58+f4YYBP5TLlVCwadek7LEiMxWaP/0TX+JP/9QPUpsK1WiUzKy2npN1jxYGWZvCjCaUSIbLLNeGb373jL/405+kUUVtvndwQBSyTA5c5POfmPKHf/wO/+0/fABaM8RAHwawZdInkqbdFswZskig+mEgm0wQHqQjJ0/VaK5NJ7x++w1m+9cwjWEyvca42kMiQESSkqQsGUIg9gN93xHVjkBCBisIGYQW5RClFFIbok8oJGHw5ByJIYCR9ENH7/pS5BwfsF5vWW0WeCX58KRl4RK/+t5j1s6T48DgUiEeqICxkigiddUwsiNePd7n+1+9Tq1ApoTOBXGYyCDA9Y56XFONxrTdgHMDSmoqrdFSsO22hVqjJEEWYYrEENcXHFaWSTVBywofirzNDT3//T/8J/zMP/g5Lk5PaaZjhIKha6mU4s716yhVVsx1NSpxnfk5GfCp0EMyAh/jbooVSbLU3mMuXaTWB5ZdSwwJIzXjkeLh8zVDP5BCwLkN3/r2t3n87AFDGNCVRiJ5drrhxv4IQpm8fXq/5v/0+17mD78ypuvbXVEvIqTB+UBOhdqzNxkhK02bHCnBtu1pr654+vQF3334iIenp5xfnbFcnaGFwLtC5dBCMB1PGO/tEQhcXZ1DLMXIetQwGk9JSKTQQC6lzQi1mVLXM6aTa4icIQRCjEhMseVqy5c+/0lef+WlgsiLHq3h9uEetq4RUiMSrLcLkkxYI9ms18WzIBQJQ2MqxpMxmZ533v1FNutzFtsli/MTbt24Bblsof0QQUWEFShjy8UqFQpO71r6YYOWhuhXhO4RhkClFbKOLLZnbLaXDM4RAGMtKTmGdgtZMNaK77t5g0/dOKRKgWlTU40apLBoVXO0v08MAotlpOqCwNQWJTRaKbRVGLnDsUrFbDpD2xFSTLl17VViSKA0UsIQS0Q17kyX9WhCM55Q1w2kTFMZrLaIrJE7A66RFiMkrR94erLgzXufIEkKotNOiBTLrtSSqjH4KEgi02jF27eO2WtGdF05tLx0fMxsMuPo8ABhNK4bdtjWRK3H5CzKz06pMlAQktFswvnqCdv1nNON59F8y/JqU+zM3vH06imPzh+RRcYSIDty6slhQKdSfA+9Z2oNn3zlHrUp0Qwhyp+PJPAehsETUUgtkUIW6IYUyEw5yCUQPiBiLHbpIXF6dUI/rDk9e0QMgeDLxWK56pCq5vja61w/eokulN/pQOB0ecG7Tx/y5ltf5kvf96McHB4grSHlniRAjxqgoLu3oSfJMmVXSjAbN8RQnp3ajLD1mHHToExN3cxQ2bBYLnGKMpxUkj6m3ZnIFsEQsHRbXHSst0vazUBlavanR+w1DVpJZgcT0g43a5tR4e5LwdQaZo3k+fl5gX/UluwTjbGMqgnjaopQupRaXSTHVCRTPjKrR8gk6foeP2ypUGghESqSfIeIkXfuf4/vPXyIiz2D8xhpSChcUJyfnxdRYATQJFEUfEIoKtOgdXEIudji3JYuDngE49mMmCK2aZAooockSg9IiPJOsrZiMtkHYRncQE6RybjQB2OKuFSe/UrVjMyEvfEIlSOh7zm+dkTTzBBKYGzNi4tLksp87otf5Kf+2E/xyU9/iv29Q6SqSD6gcmRclRjw78XX73oSP3QLfHAENUJKVQgsQ4eSkhvXjrk4OeXl67c4Wy85mc9JQ0Z4ECmRTcQJxZu377DYLiEG7s72eb5YM6SekIuoxAhNCqpMZGQushUhiDEgsyFn2IYBk6DNjg8ffAtBotplFlNOSG3RGWLwhEwRZVQWy4jpSOJTRquawfdIWaa9b955izA4Hp8+ILoC0CnMX8jZk5JCS4FRu/83ETnaa3jt5ozHz7ecrApWyNZjRMzUNnPv+i2en17R547OB05fPAc0MXu++v5jTK0Qqjw8MJAJGCVw3ZqqbkBJKmEhRLqYaKwlS0kjDfgWZSxDcgihqFVFzgM5Z9btmpQto3CKShZULGW04PExILVgJC1JSjKJkZ0SncM2FV3fI3OmrhSD3yJjJuWEVoIQoTYVk2ZK322QQiGEx7miiFZk7r18h6PJlL/7s7/MZTtncbVmf3RACD0hOFRdkUUoD7w0IKVFKriYLxiPAkMIiORBSWSSNAKUaXDZ/w8GTSEK+z2XQsrhbJ/eaVarc7QGkQTWlsO/UoI3blj2xyO++s5DpFTcu3Gd2d6UECNPXpxD8gzJ8Nf//kf8H//CZ4jrCb/x4JSzdYtIAhc9pjZUpiHFzO3br3Nx8QwtNoToEbIuh1AJx0e3uXn9JlImXCxoysyK07NTJvUUqxWb7ZKgVXkp+IHRdJ/DvUPefOsGzUjzld884NGzE5rZES/dPGJ48gQVM6u2ZWRr1MjsaDo1B4f3+O9+4X3+/J+8x//13/s+/t4vPeLBixU3pgZ7kPmRL17nD3z5Jf7y3/gOJ5cepTQ+56L0HrZIIRlcR21KXEMI0EIjhCyRGKEYNVP6XIgNKMGT+QuErKgqSVVl1osWQ6KyicOpJOSe7AXz9RKja5rRAetuUcrnHSgEqtaUXbdmaIs2XJlMcpT8fvDkXGyphX3ec7aco4UGVfLsQgmyL9Y+lSS992TZUCtLzD3Oeayp0SR8t+UySubrFRHFMDjGI8UrN26i1obzqwtkElQx4IUgVAYhTCldSwE5Mgx9MQ1agRYFqcr6jD//hTu0QfD376/BRarK8vbrn+T+x/dZbjcYP5CTRA5FRmZ0hTEaZQX1qKLrB3IcWK9PQEiO965xOZ/jw4AUicEXpnHyPVoqXAIpSselDx4XDI3dI+ctCoEwohzYmxrvHdvFcwJAztTS4BqDUn05dBlFVdcMyfALH17w3YsNndJkHeg7h1ARbTQiJnLMTEdTEoarq0v6IDi/vOTD++8xb6+Ynb2EDz1PT9/n+dNH5Bwx1oLUpOjZbNZ4v8MDi0z5i8x6dcXl2RnSlL6RHY2wyYALpNDjU+LyYsDUDX27LIfmPDDeYTfPL69YXC0RSpE6x2rbsT8aIXfY4953WK1RAtreI7QoqDpZeiCCyOH+HaTJPH/xMaaqSEIhlGa+WaCMgGzJIiCzwKUIomTRrZG4FHFJoIc1+9MZIdeMqhl925b3V8xIHJVRbIZMdvDy3btcXDwnDoWI9cr+mH/7i7e4djDj//X1D/jVZ1v8ULwgz05adGUJohQr265lb/+IykoW8yWxcCsRFga3oN3OmR0c8tYrn+PxR7/JcnFBIuGH8oxSUpKD2GFLI92wKRxwyiQ1Z0/OmZAzpIARCXLBsG6XPR8sPkJby1EjOdCKVkCvDMI72lXLtu2wxnC4X/GHXr1F1wXe3RapUk6Rk8UFqqpZnV6UmEKMpd+XIeQBicD1A1ZlKlNhK8uy76m0xsqAT4k2emSjEb5wzV0IZUKOLNvX6Mo2Pgv2RhatLJttQAuLkVXxb5T74u7PGqmsxfuIxJGjRiDwIWCyIBJAQ6U10Rf0p08FVS12WyOSoLIVWgj6lBhCSz2e8mM/+oe5fbjHP/m5v8mHL05oxkdMJjVXiw2//ms/w9B51us5lVQMQuJFRMciMowy8fGjD8lZI7RkpDQ2ZSoluHPvOs9PL1B6jG8XRD+Qu21x7iRfSHtSMOSIEJmcE6HviSnjRcljyx1Wuq5KcmC+OsMIQCpAM7INwgi898QYSaFnFRJf23xAl3qayQGvvfoJ3nv3G+Wz6RybboOnpCGSFIgksToTs6GLqVyCVcWo2qfr5sQ0kJUGCcrIYl+PLeTEZj1H6YokA1pK2qHHaEWMpVB/MJuCiizma+rRiK7d4KNASshCUuuaWzfvcnH1DKU0w+CLQNTq8l6XBdMqhGLoOnKiFFuVhCRxMaBMRQqQY0Ra0CYTQsD5RB/K5vzJ86ekIMjRkWXZ9N28/gZ37nyCT7xygxtHBxizT62nfP3bv4JIjlEzZrXp/uc9xAsh6bzn+cVzMkWc0PYBZS0vXpwSs+N7zx8VHW4CVFlDCSnJImOk5mLRsml7Xtof8/0vHfL3V+fUWiAGSUqQtIRQZAs6KJTWSCnB5jK9lxI7PmQyHvHixSNC8lhlQUH0AUSZqscwkLIu+Coy+9MJ1/Ze4sGjD0ipHN6tsuhaE7uBWTPi6MZtXr17i+9++C4vNlc4J5CVKVlnoXHtejd1lXQ50g8WoyteuTvi8Tc/RCC4fXibT7/+Fl/54Df4xvvvYIUuMQOVkaQSlYgeIxpSKg/U8WhG69aIKBDGMvQelSQh7Mx3UnJrskfnOlZuICOYzaa8fvsNvn3/Hap6QCdLTwRiyTtHz3p9hTQaRUMMHWRfeNjAenOF845KW7ZtB1KiyFhTALjOF7OaMAndVIwoOeXWO7ILJB/K6lNDSpF+SNw6OOZf/8mf5M7tQ/6rv/YzPLzcYJViuVmCEkhVXiLDUJjuVVWRI6VMrEq20g+enEvJazq2/InPfoavfvyIZ+sLfCh64hzLxbAYDRWbdk0OJcYRc0GZOu+wWuNax9t3D/nND0/pk+DaeMIf+KHP8MW3X+FiseGffu27fPzwOcvtwOnFhpQFWmdUZRjLEV3vkF3JesfB4XPi8cljUtqW3LnQNLUkxEht9vnsp3+KZ8/f4ezyI7753kNWq4tSskEgKoW2FXSalBN+KFbQq/maYTPw//zbK5IQLOabgjPcm/ATP/r99L+45dmzU8a1JQeQWTGERM6ubCTEiL/586f86Cda/szve53DA0OKmegiX3/vnP/LX/kWpwtPFhWa0s1Yr+c0dSnuKVWQo1J4IpJKy7L5CBEjC+JucB2mucblqifmASk3ZALrqw0vHVj+zB+7x2deP6AdCmN9XFu+99Gcv/VPnxK0YT1oVC54LVVPkFqCSOAzTZ0Q0nI02me1XrJ1xaSrsEiTSRQk5HZbzMeNGeFDh7ZFHJe8xFrBrYnFWsNoNOX+80scGQv46EAourbn4OAade5RxtJ1jvuXpwg5cGN/xLqLbIcOoRVGa0Qul1ShFdkrlDDEVFTzwiiSd2yELHzorpg+X37lmNOLDf3g8DkgRS4kLqVY9UusBKkkq3bDarvBx2J9VEqzDp6xHbFcFmeGVbIYLUXhxMecQSlkLl6OQBHwRLcp7GKReHrW8n1v3eL5yTNiCLxxfJ0vv/ka/+zdDzi5LKIqZUZ8+o2GF2cdOWRav+bjNTzcQNsHsilxO6sFUhg6P5TLndQ8ePQEoWWJlKiCdXty+oSz5RmaB0gJ7bCl6way0Lx8cBNGmtPLOanbIFPR1icEOieiCyhRUVc1/dAynUzY3zvg7OQFg2uxdYWqGlzf40OGrJDSY6syPQ0p8tGzS0BQ2Rqx61BdbSJHN17m2bMPUdbg+oFRXQ5YzveFAy3K1K7WNU1Tc3r5jIxgbzwmS01wCbxGJEnbL1C2xBWM1IQIWnistERRJsx1rbmcnxcu/bQiIiEFGmYEWQADVlXE4Hlx8YwYPSFFZrLi7nTCp1855nA24o0He7yz8Kw3GjupGHqPiy3k4nFQKmN1Q04JIfMuTmO5e/dVnj17iK4FeMH68oJ+WBNiuSiklHcxlYiPAV0ZpBS7Yp3AB09WCaM1UhVSiBKGrKD3Hu0dhwd7iJhYLzfc3whqqUhyR3RSoK2CCIKESIKmquiTx1rovaQWmhgTqd3gki8DqKom+4TPiUaNQGU677Ajydha1r4tfRuhSJKSoxeS4Er+OMadNwTIWeIzSCWwUiONYLneIqWHnFn4Nd959CE5SgiUrR87GtVQcKjjWcMbx9d4fHpFnzRDt0GrQnLquwKrQCaMLJ0p50pnT+ZEEoK9vRuobsXGtfSu4+vf/lV+8vOv8mOfPuRkueAHvvDDvPHaXX7xV7/K+/c/IvmesR2jUunGDbl0R7YukHUJuabkqdB0qRhVja559uQprXPkPNBUAms1ri/OCq0rmvGMfrsixYgxNc71qKpC+bgDEmSci5A9op4SfXmnupgxJjO/umTWNNzYn/Lx6fPSEYuCICJBlIttv+n56Hu/CQm0nTLdn7JYXyGlAqUZYkSIBJkdMMQWPGYMLNeXuNAhjMQAIWWc7zHUNNbiQolaoUWJPSaBEGWij9JlQh48lR5Datmue0aTa0xVzcX8fvlees/Js0dsfVusugKEEQQfMUqjjSnPm4szfM4YCaLWDN6hFKQY0VogpUKIvMPNQhaO4AMhFmFnTAJtBYJRsY+bSHRLmrrhtVdfZbk85XL5AuUvMKrGC4cQqZxt4/+MxVYmltRnKlUiF4pEYys616NEBUkSQkYrQxKpFGkskEENGpkS8+0lIUQuNpGvfPSQNkSyMggzwmZoKsMqb8mxtMXrWrJ1DissEtjfv8an3/hhvvHurxEz+BiYTKf0wxYhFEpkKltjJwdcXJ5iEGSl6dolHy1WOF/06+Oqod9uiL5ohB+/eMC6O+LO9X2EThAShFAshlGhpafSdaGXVJZ+2zPfen71u4+QWRR0FpJFd8n9k4/Ivsc7jyAxyIg2FS5EJImRKpYvU41JPjGb3WRz0RaiBSU7mMjsTSYsNuuSD5WZISeUVqQsWK5bLs5PUEngk+Luvbd5cvERqW9Rpki4NptLpIIYulK+rcYMfYk8+RxJJFxORNfRWEkYSqa6aWqs0ghdEd0GFzIOgQsd5FyKjtYyHe+z7takHBAqs2xXfP2dD9iG18skKxcDZCxaDESC3Hm+76U91p1DHh7z+NkpziVSzGz6JVoZIgUBuO473jk7Y77c4lzeybYyVV3kGZUSZAQpRo729rh58xYPnp3gvKfdrhEpoZNkNhkxnzvyANPrI968e40f+sJrtH3karPh5GzO5XaBiOUQ83C5pjp8iZ+49zIPHn7EwydPi0hHC6RXrLdztMko1RS6ifdkqejbBd/6zj9ns57z8kv7rNot282qlFCFJgyJeXcFOmGlwmpTJgtSo63l/HRJJ8oLxVqDTopf/Mo3sHVNUgopA1pI7hxOWfdbTuY98/kJxlT0IfObDyTfvX/K3qzmYnHFfL0kZMlkNEOJHikCWciSq5YF/ZVSxirLvbtv8eGDd9BKcH1vCrFQlmrdMJ7VDH7LZG8PLSXdEOmcY1SNuHNd8B//W5/iF7/+nL/5c99kvSnxglGT+akffYn/6N95m//sr75PCh16bJnaKW5IVLpivrlif++Ilw+PePTiDDc4DvemvN68xIPzZ7QuIEXCWMvgC31GKEnEEdOu0Kk0s9GI/abi3/ziLZwI/N1vnqJqzc1RxeH+Hg+ePqH3iaO9Y44Ob/PR43dQSjOyBpsiP/7WDW5ca/jH337O45OeREbFQO8HrC6oyZwlo6amHyLeeyyRiS4SuL/ylXfxwOHxNWLIbLuOzcMHhOjIMZVctdaF+LGbaBspGDcN22HAO4eqa7IPuBQZ3EBVF7HS0DlsVRNzIAtBjrnQJpTC6hqhM8pI0nbAViN+4WsX/Nk/cpd/9rWnuEFwte357vNnbNoWZQWDH5jYyB/98U/xX/+DDwlGgc8ELdk4hxACmxSmNuV7LsHmmpA9KQWq0T4xRoZ2jgqhbAO9I8lM9AMhBCqlCj9aJro8cG92zGJ1wcpFhKkQMRXsrRKkuLugpELg2fYd/UmP8AFb1QDImDCyIHCFLrFBSAQhmI33ePXVN9G24emDjzjbrrG6lMcuL85JITGqK2TeFeBlGSalBFkJtDWY/WtMD68zX56Csghj6boeFRLbocc2lqYZ0bcDToDYDaQC7ORaCplqvI/sT4+Zby5ZLC9JKWKs4drxNdzJgDWK5WpdFPRdR62rUgbMHd+8PONvf6viRjPmt54sWW46qlpy++AaD58/w2q76x9lcpSstqeksLPDug5B5qMP3yMmz3hsyMFwdfWEQC62TC+Y7u2xXM5LfFJIhqFDaVU6UFkyrqe8/tYrfPjxI9pujdGWcd1Q1WNOF0/JRLarQpYLIZCFYh3KNkILQBuiKB2YUvxz/P++d4UTHqjI2dEGT0gBawAh8SEV7DNl65ZkKgZ0I3Be8qIt2EIhNSHEgiHeYfnKRlYxrgQ/9PkvMLRbfv077xFcQqkyRQ++YJ5vHN2kb1csN5fQRlxWkDPaKLQQCGtgyGgtOBhN+RNf/gLPLlf8zNffJWWPjhknPC4mQigxJK1K/NTLkps3tuCZW9eWTSGR7BMPP/o2f+PkPWRItK3j4+fP+f4f/AN88csVD548YtMvGZJGe4NuapqqYb1aIqzGUibwSUZIA9472nViNp7gfERndkbfisl4zNWwAiNRKMa2xrcbpJY7KViJxlVS/c5ATCiFUYKu6yFEjNZkmUEojDG0feTh+QU5KSot8XEguIhKmcpIXIyELkKWXC0u2fYbQszIGFBWIrMgZVPM3SKBD0VA5RfUdU1yFqlV2Yj1gfHeFEKRucVMAaSgmYz30cawXJ0V23iSmNogU4KuRTeavYM32b92h8XJR+zX+2zDQEqemAdsbTCiQirYhg3SKCQSN3RcnDqETmgj8amc1VQErQ2jcYORiqEN9MMKoQXNpGG5bFGVpM41QghqO2GzmSOlQZiMR+GSBgLnl8/4rXc+5vT8Ba4fCB6kylxczgnx94Yx+bs+xK/OTzECvI8EKdFZoKVAiYwQCWsblCz63Upa6umYwbcE70lSoMyYEDoqZdn0knkOCFkzq2ekNJBjpu17UvJIodGmYtUPZVqQIkP0+OWCg9PHhDSQlWVUl0PV/mhEH0sptRs6usGXUpGsWYdApSQuOFIORaCRHDE5cBGfEksB8/WSx2caHwbCMLBXT/ESRo3hB95+k4cn53z4/DnSR6xSqAxD58hSMB0d0Q4rFu2K4bRHhFK6y1lDdqQgELuDbNKSLAWVNvRhg1JbpAiMR2OMkEQdaIcNcSjmRh88l91AFgmhNBNZk0XibL1AGgsxcXHxBNEVU65XMFGyyK08WDMip4AQoRy4d5cOq2tiiGgjYfdS8j7DkEhmQOSe471DbA7IFFmHmhgjy02J8Lz12qd4fvqYx88fkNGkmPmN997nt+4/5KVJ4O7tPR6cL0refsiILLBjxZdfOuajyzVfv7hkiI7oA1GIYoaLEfD0PrE3njEfPB2+NMV3DfRhcFhdoYyhFpBVxX495uLiquTg2h6pFL2PKCG4uGx55c4IaSPzzZZvv/+A2zcOsFVFFRKH45rHJ5lRUzEZa1bdwJ2Xb/GZT38fSUTOLucMK4dSklqXNZz3hdghU8HvCV3TWMV8cZ/QR549W5Ypqy+5bCnjrmiaEYHyPVeG0UTjg8OrSOsGmnpC50v2cb7YMn96Ti0rfOx58+aET9885jc/OmM7BKKINNMpJidcHLhYrmiM5WJ9wauvvsZi06Fy8RcEmXApE/zAZDJGCIPCQAx453n64mnZbKRy2KmkprYN08mI8WTMxWLByZOHaJ2pTIlzTJrIf/DnPsNf+3vv8yvvLtAU9XUjJYtO8LP/Ys167vlLf/5t/uO/8i1CMmw2G4SqCaslUkRW8yueu8xqu2Rvf4LVhnvXb/Dk/BQtfHkWpIYsBKqWiFgXIRQKU0tC52nzwOC2PFxM+LHP3OSlR3O+c7JFZknfr6jGI4b1GickpxcvONzfJ/vyskUpbk4qXppNqXSNVBJjbYmsZIkLEa0E+1bTD12xQQrJRAteOjrgMgTOLuYYU9H2iU3fk3WFa1tycOXnnMtmTCHRozFSKvr1Cp/LilvZ4tkYfCj2dq1wbsdMVwpPRMqMVYah9wgl0BJCCqgIzncYodjf2+P52cCTF2v+d//Ga/zl/+Z9ln3L6tmWLARGC67t1fzbf/Iuj59u+O77K2TSqCozhARIpNF0zqE8BUErDFpkZIKcMjevHeOi4HG/JgwOrMRIS3IRnxNCi3LhJaO0ZtN2vPfwQ4g9Vikwmmld9O8+eBKJ0d4Y33n6xRxlPMZIqDRVU9ENHTI42t7tMrkKO6oL8UhIWhQvzp6yXq4QSlFPJgx9jw89pC05C7abFpkhi4IuDrFYIzOSrl3RuTXPXzzASFFkNcs5gRI1iMLjYMdcL7Sssh0VVHVVDh9ZEmNPTrDqW5zrEfRUxhCj5+MnH0JSTCc3qJqA0Ya+7RAq0+yPoEucDvB3v/OMpBKXfY+LkpACp8s5uq4YekcOGYEvZfMUOL51C0ng5OkLYirRUyMlPpQOxRAHQDCEzP5owmTvgNViifcFGqDMzgIsBDklRpOG/aM9zAOJtiPu3nmDfWu42i6ZLxSVMsz2D7man4G2KApWUUjJpKnYbIZCqyIRgiGmxKP5gpQDRnmskOwfTLlatISUySSqypBDLsKqIfLJ2/tUVvPdk0uu5mug2JZ7N6B0QQ86B7pSsMNXZ1VxMJuRmglSfUhDLnbr5BEioYVgfnmCUAKSZCAglSASy0UiFv5+ShoyXM63/NK772OkZbtZsVc1VNMpl90KmZZoynYsk/BDR0SDVKzbrlxE+i0iOXwfsOW2QrfxxCwJKbLeOpZtxcXZnJwFRmi0jHg8eUj4JNBVg3cdvWtRWKyQRJ+KAVVnNr7j2v41hm5L6ju6LqDFgNIZFSJZQrtd4tKAUpbgi2FYZLEjbJWScSVrchxQopRRK1NQzyhBzD1Jag5m+2z7nu2qQDS0UGTSLlZmkTkjREYQcC6XCI3QZGlRRnJ8dI31esHgVtipgewZa0PfO8gQhw5Z1ahKMmw33L1xjb4PpSBbzRBiIPQruva3Iy0NOidqIRhpwc29Gatnp7hhxYunC/r1C67t7dGvA7bSDJuENJJPvPkFlvMLHp09wFgFfcC7AWlr6lrRrhckJFZprh1MuVrN2S6WCK0ZN/vgBd5F5pcLYooMkbIp1IKh2zJuxoxGI6bH+2ijGbaC9977Ng/vZ56ePMMHj4+CEAOTqqYLZWv4e/El8u/G6wrsHe6jg2JkBSlLtq5HylgKqKpGSkuIjhAGjscHBEnR12tDu+2RpibnSCby6o3rPDs/o3MOKU1BVcXdYcd7xtbgs0Ds8pRZJISQWGuZNge0LtL1a1KKRcJARsSMRJbySI5Upi5KaF2jG0HqPG4YQBZTVnJF1e5zacQbWV4ci76lETW1kLRp4PbRTT73ic/w1W9/nU2/ou8d1lZ03pOT59rsBsfHd/no0W+Ro6fSpqjgg0cJgzFFdKV2t8oiK/QcHRwUNXbwZC1xAfZnNwjDgoTHOU/vHHt7x/Rdj48t1WQEQ6TRlt678pIzFZJI8BlpREG6BVfwXDmQkiSkRG3KdK1WiqQTLiUshqwsVpdcYQgOhaQyFpcHJtWIiRG8feMWjy7PWbue5WanQM4a3Yxo2wVGGIxMGNMQs+OPf+kuF0vHV+9fEHyGlMhSURuLkeW/s/aOlBM5JCKl+FywMJEcM01TlU5DSsUuGxJNrVFCkITB+56RrrmzV/P5u9f5R+88YeM6BIJKK7zQjGzNa7cq/uKffZX/83/5HlebwO1rN7h7PGZ/Muby/JIPTi/Y9h33jiX/2z/7Nv/hX/4OKlVM9g7ohzVd3xUxkzX4GBBS89Kdezz4+GNIrjT3lSHFAe8yWUq0oUigOofSRSIkhEIrgwgJH/uClsuZZtQQY/keHe0dse16QuyIKFwI1EqR88DEwMuHR1ysPfOupd8Re8gZlSPeFTJHlA4tLdu2R6mCaTN1ZrPsAM/N6zfJUSOlJvnA5eoKkQeCLKbQa4fXAE27nZeC9c6mG5IsRsG+QyD5N/7YXY6miv/y7zwiIjic7HFtf5/VdsHJfEWlavpuzV/8s2/y/sMr/snXzohBkQSoFEFKpFIkkYiDx1gNOwO0kYaQAl3fETJIZWgay7Z1VFYhU6HaVLmiD4GQBl6bVfzhz93m208WPFs73r69x2vX93n3UvK9B09YbZZlmr2LFTSjPbLfUknJ8f6Ic++4uliCyAilEYD3nrqu2JtOuDw7hyyodUUkE7IHLFVVcbB/yIsXzwmqsIf9bsJutQVVHtyVVsz2ZzgXaJdLhG0gB7RWhKFEEMZ7Dcv1hkZabu7f4vlmQdddURnL0ewGJ1cnqHL3KvizFBiPR2w3LXVtSTFQq8xf/Dc/yysv1fziV5/yzv0VVaP45O0pf/wPvM3JWeA//Wtf5XLraaopQsKm3WCE4WgyZb5d0YWE1oG6MtTK8Pqo4ntnK+69dJ0PTy/oO1cmySoRQ9mQpJxASZKPpJCo0DRVjd03/PD3fZYXl+d878MnEAaqytI7V7jrQtK5FpUVkYCWioREy9/uvgh86BDaluepyjjvCbGg9KqmwfWOrCy11QgXi1+DRIy/PW0FgSTGEhWUMiOJJCHISmKkYlRV+JzxrcPniNW6xKGUwlGGG1JmRCrbgwDFChs9kYghleywkORcbK0xdcVcHQRKKYYhIU2mNuV3LyuLEIlsEqr3JDRIjTZlA1QEN6qUi/MuemUqdKVRKuHdwLDxKC0KuSSW8p0AEpkYKShnKUkicW9sMMryaNWTUyq0MiUxRlOPatp2S4yJ6eiYz33qR2ivnvDg/CMuNhtkzAjK1FQqiyShpCbkIo7zMZS4ZnAU048q6NiqIbgWozS3Dia8uLiizwotJdcmY+arLVvvGdU1VYrMZg1ZGV5czIsvJg6Fp50hhFgiTbrEQaIwRB852ttnqqc8vXyBMZGIIjqPtqZACRIcHF1jfn5RzhOqdEqkMjs/CzTG4gIIIkkqlLDkFJDakvHsjWom9Zi+dyy7gd5tycERYsnFj+uGIfWlZK4qfE4kPLPJjHvH93j05CHe9dR717h242VePPsIpRM1icvliiwse9NZQTvHjBvWhByRaBRgjCDLYmrtB1/IbVJA9kBm3FR0vSf5TNzRAfenM+aLOSkJMIqIRsnycxuGvgi0QiBFj9UarQQuJUIq3hFdGUbNCO962k2LVJJmVBEjhNhDLpeLSspyjmgMIsOm75GmQE+u7R9zujjF9T1VXUOCkPoC6+hD6Y1Q4rA5Flyk0eVSldHk2KGMwLlSGJayZlI3BALBe2bGsO47opTUupjnlYKYyjM8p4EgFPuTYzID3bDFe08KpbAv7Yimlri+R4ky05a6wvUtlamoJhMWq0uSD0hdrPIpFuuw1pCcQ0lL7wPaKpqm0AVjMOTUY6wsMSXvy9ksSprRhK5b4JwrxvT/ka/fzfH8d32Iv7a/z1Gzx629EYPveP/0Ci9KWKK0GCwEByLRVAaXM9EHKl2hpWbTbdBKITLsTUYs247Bl9vIqK7LRFZq6pFByALuV9pQVU0pFPUbfCr5O0pdDSkohAsBWpaJVufLlEGhyCJhdblhGztiu74CLSAXvS4Zxnt7bNs1eIfC4CPU1pJSi4sCW4135I4AeFCKdtmDkWgF4+qIqhrx/OwjKqPRspjGXCxFU1tZYvQoaYspVRtiEkgNMUZCKpMhP4Tf+WCICC6kEicYV7SbvqyORC7TQm0ZercTwRT+fin2lh+l1QYpLZrMJgzI38ZWkdEoQi7IKELJakpVtNDX9q4xX16SjaDrNhhV8GVW14zGhm27YVYZ1tsIusgfrIDeOaTKCGmojKFpDIvFCh9gcrBfGLdCkJ2k2hvjujndxhFSAFEmq1lAbQ8Jocf7FlTh0weXqOoKyPjgefXwgCEEzlZrJnsHqOiIDFRqynzbEXyRRO3NjnjrpZfZtFf8r/74EQ9PFvx/fuGC63tHXM1fkISBPNB1A4fjhv/wf/MJfuXb5/zC167o+75g7HboUZHB1A3Be5wfqMc1/bYj+oDRmunsJuP9KVenDxGxvLiW3QqxQ0mJqkZKRY4OP5SXbV03uBgZ1Q1SS9r1mv3JIf1QZEFZGQSea4dHWFvx9PlTalMOB+tuS2Uq+uiptWU8aVis1wghcSEgc8ZaS9d2KGURlWSvmrJtF+hGMvhITBGdLClmZvsKHwRCVgW/5TLRF4qPkrJIYrQpv3e+pwL+b3/pi/zNf/A+7z5yVMbyQ1/4PD/ypR/hnQ/e4Ze//jWWbU/sHF/8xIg/8wdf4j/5L75NzgZUySOn4ApqSwoqZck50veB2ja47NC7bH6Rv2mUocjhMkxsTVVJ9g5vcHZ2xeCWxBw5HM84aK6RRcsPvj7hX/38K/y1r9znGw+uCLIiZ8Hl4gKhM6Pa4AZXjMTKEIJDZ0HSxSpISoymdXEiRIi9Z1prfvSNW3zlo+ecbVpMVZfPhyqxrhgCRsuCT60qrCriMBcG9vf2uXV8g/uPPsIT+fxbn+H+00ccjvbIAk7PTggiE2JmNjngzvQGT+fP6IctLgdMUrTRMaoa6vGMdrssmLzkAYnAkoUGmbA28tZLlt/3pZvcOR6TBZzMB776mws+eNjihkCtNKtNTxKeIQfGdsqdm7d59PwJQ3DsII/UtkGEvrxQhSiXlxip7ZQhdLtYUI/IES1lMcpKTRbl7fzKnTv8Wz/9r/D+h/f5b/77XySGAYQkxYg1umR+yaXBED2mqui7nkqXwUpEUknF9718kyo1fPXpB3Sh5GxDiFS2JqSOOHhqq0hoXPK7IVeZrClN0bZLQxalqJxCotIjkoxUMvL2wQHvXizwqRzKfCqffZEz2QeE1iQtyIOnqeuC6xOKST1hPfRl8yIyQhs63yFSLhPu0bhQrSpLPziGwWMMHIxnrNdrslJ0bsBoBVkilUHI0hNxfcu01th6n0FGtqsrbt94mywlV5ePi3jGe4TIkBMBsNYiQir5cV+iSLkyhBgYk4v3wJRnQ4oJbTRmBwxoh6Fk/1NNZWtcaKlGNe26La94kZBCIHM5PIYkCmteCIzWaFujZdnWDckQgqd1kVomfBrIWaJtJjiY1TU//tlP8Cvf/B5X3WYnTyqEtRI7SxxMpjRVw/PLU5RS3NzbYzKqeHp+wbIdqJUupU0UlW7wyWOspPeO6egAay3tsCZ0PfWkovMOvwmE7DHWEHzGKkFdaRo55WK7QphiyG1MXX6vTF3+vdIx0Q2TyR7bTctyfVl6O7Yu5e8sSjEzeBbbCwhiR3wT3Dp+lavNgs36qpxYhQQMxiQORpZ1D0PsmI4OyoYw5VJCJRcKkTE412K1RCtdWOMxogApDFlKpBIISqcwkBAicbg/QUrB4nJdBqIi44cBXVnqcc3hdMbM1nz48AFh52RJ3uEjlMSTQGuD1pquc0QB1hQ0dcoQUoRctuSmbhipGp08q6FlPJlR1zXzqyUyFzxqFIIsyoZcSonWhjA4rK1Bgg8DKUdkPWJ/PGZ5tSL6iDZghQViEZ3JBmkLzVCRipBLN2VDrgXGGpyLCBV32+gxdtSwWa6QKLphi64EMcQiLxOJo+t3GOsJ55dnBDHQbntGpiIpxTBscN6hxjUqSUiq2LVl3OX5I0EKpuMDunaDhHK5lbLEu0QZcuQM+3vHbLpVSXw4X0Ry/5KH+N91nOZoNuVPfOnTfGHf8iv3n/Ji6bjYrpFKEqPjsBmTqoqr7RqXUrmN5FxsZ1KWKS2BrDR9Ki1kYw0plnVlyKWoNRJ7LPsVWmSUyoxGluV8TSRzcLjPetsRYk8lJTKVwq3UpVWc0CgZuHV8zNXVEqmh22wZVzVkh1IWpRSu34AAoTTjumE6nvDs2fPyAbKCTeiQaIhDwQhqTfYeVUnyEJEqEpxHjytW60vc8hRtFAjKTdwaUgJTTQm5hyR2sQqoR3vlz+vXGKUR5MLPlQIpPd7tFNApYpsRfkjU1uKGghq8vn+IQ9CFM7SyuK4oh2sjcVkgciyYK9EyHs/A9cRUMoS6avBdByIRk8fqkj8XqqLWY0ZWMb19l2eXF8i0RcpE1grnB3QvGSfN/+L1l/gXjxfc3xYGvpcZIcsDq5IKQcWm9YSQwGikUXg3EEmEFFifzjHGFHsaxYKbQ5Gb9GGBSEWAIsgYEspoQnTMmhnB1DxbL9FSE1Jmc7VAaoOqJkwObiDcI1SWCKnxbuB7Dz8misB//neu+Ev/yzf4X/9Rw9e/3aG5zuPz50gRee1Wzb/7r3+Kk0uozW1uHXoevXCkQFmTi8IxXm96lFTEEOm2hekulcaq0mG4c+Mz9KuOT7x0TNNYvvbeu3R9R8qeBkkWJbYkGsnQDrjoUfWIPgYEASrBNm3RO5RZ3QiyN2x7x7rb0NQNrutQleTo8Ij9yXVeLF7Q9wObIeCGhJEJQbn8aGnRssdHRxUVbbvEmAYRHK4NGKPKNEIpel+iYdNRzaTZ42o4ZYgJYwRWKgKCoS/t/HpUI5xj3CieXzlE8GhV9O1al4N21ztC7zg+vk4fM9NJg1EKrzLZl2hcrepi29MCRTHEZpHQxuCHHp0lWAtJEdoWHwN11SCjJBnFaFzz/OwpwXuyykhffAVn3RXXr7/KNx+8YNM/4Gy5BZuxQtD5oeBDK82kUVx1genhEbWtuTx9TkagpMZHV9wKXSiacTTKNkQZeXx+UTKm0pKcQyiFVAqhBbWw5JQ5mEw4PLjBi/OnDL5FacVys2bbdRgt0VLy8YcPacZj/siXv8zp5Qk/f3XO0HsygjY63j+7T86hoOVyRTYG7RIqgt+sSTmW7soubhVjYDSdomvDen7Gd+47vvPBR2WjkCKz8YyUw25Do+mjY5CRUWNQDtqw5f7pU1RVoaNDCoM2hq4baMY1oevLZToJqtEe29YhtC5TQV1QjrIuYqWri1NEiiijma+3/K1//Mtst1tCHJBCkCWQdUG7qbr4MLInpIzKoKSgmtT4dqAfBurJlJ944zVkSHz92QNS3ICSGKWI3hdahSz51MJeT2hbI4UguYgbHEYqfApUxiKCRI4bJs0RCEHfnXK6GUg5kRDUpmbYrhBaY4xBaI0LntyX4meMO4JLjPR9y0hbvAZixFQ1QhtC16G0Zm92zKbfslzNUQjGjSXJyDq2RCWI3lPJoqKXCHwYCgUtxR0GuadrF2RRLKpvvPl5RpMJv/CLD7CqoJ4rrYi+xIFSyqVXYwwxdmRVyqsTq2mHnuAjGok1qsQYKcW9wQ2olCFkqr0pmoauu2LYOoytcD7QGEVMiaEf0Fpz5/Y9+s2Krt+SleLVO7d4cyL55JHko8uO7570PJqvyRK8ExwdTLl9fMD7Hz/HZ83XPn7KWuaC1VWKIZX358HkEBcyhkhj6nIpJBWjcl+QlKOqTDwrIWlzxMnC5G+7Fikzm37LWEEcHLN6xOWqRZARFdiky8GnMUjA2oYbh8eIq0TrerwoseCcStlRJ4GIkkW7ZdUN9K4tnz3nqYzBe4GtDd2mZ7Z3xMgFmrGF4Jn7jmfnJ9TS0tgpQ79mVMO6L9X7+dIjbc2br36aq6tzFqsejaa2hs47ZE7cOjzm2ekLnHfk6Giqijw4tJLklPFhQGSJUpqj6/d4fvKERGLb9WghuXb9OovNmnFVc3V5BRF85zlvz1npGh9TEYrZjFUaY8uwlZTovSftLpcxRwYXiMEjlUJrixKZuil9SJ8dUaiyqepaBjeU359oiKajMpq+31Irjaz2SHIgeQcplQvBztCa+4wZKRqlcCIzJLg3rflXPnWPX7z/gKtQImYuSlTdkMIWITyyUnhf8KlKSXCCbBJDbJG5wsoyREo+ElXBiNZKM3jP/GpOnkpGxvKpO7f59Y8+Yus7oktUtYXkqZMixIgnY7RhNh3TKMvV/AJSKiJPoYh4jKpKz1FJhEpoafEu0HYbUhIFVfy7PXz/Xh3il23Pr377PWafvoc2DZ98/TW+9eADUoBNH0g68fKdT+EffsCmvSSlhFQwEHjp+A7kyNnlGdt2WxrYVpeipKTwNaUm+MRms2C2t8emeKdx2xXNSGH1mM9+4iW+8+4TNkOEEFDS4lPCuQBClkOyqdmu1gVTJwzNZI9h6MmbNaNmj5AGqlGDUAY3DJycniAQiBiwVhMBkV2ZxGbJ8d6MIBSh70ozOzmqeoSLA5P9PdzJHEHizXuvEr3j4nwFCkIuKDtji3Wxdx6lFMG1DDEzqia8dPsuHz98t8g0ckAKCyS0bUihJSVP6iPXb91jvl6Uspy0VIAUEbU78Nba4KIHEkIJYoyFSd2uyvc1lSY/vsgGpDDIHAhRIgwMvpA/Hp2vEEIhjUKPJigC0UWUzAzDgNGWvdryQ69c4+n3ntFnyENZM+03e3R+wPm2TNeEotaG9fkVgmJwyxkEAqNGeNmScnlQ7o2mbAdPSA6dNba2EAPKNlgJfV9e5sTCytayQiBpxhNS7Lh+eMB2s0bmiNaG2XSfq8Ule9NrXC7n9Gmf/8d/+4w/+YcO+Q/+wstcriIX52MO9iuUEvzsrzzhNz7Y8uOff4tRbXG+lAc1hiEndAKlDTIrhCm/gKAIKeJToN+e8vDxb+DSku88XDK1FWOjaNvA/myPw8mMZ1cLpNQcNjXnfk7KAkGhSyhhSEJDHhhcy2R8CARcaglDRKYRN2+/xOAHlssztm7gZj0h+nJw6IeW6d4+g+sZmZquXdD2LXVTE53Hh0CSkWHwiCSprCUKwf5BmQpINFYL2tWKPCnWYClLTGI6mbDeOoINWFPx2Vde5sXZc8iRSa2Yy0jrA9949x0enb/g8mJOGDpiClxenXI8MgzhmChgKg3T/THP5htslfFJ89qdA37w9bt844MzHpw+x+eBpCWb4Gmk5Yc//2UePviIp2dPGbxHCAmDIFZjfCwxuxgdUlrUaEa3XvDs+YdUjeHZx2vGI0UtDEOE6WhW7H5Dz9Wix2XP6uKSwVi6EJEItJTsH1xjPV8UkoaAjogKA85JvhcrfEolyiQrpE8kXyrcIZXLt1DVThdfyDM5lRxyEAmlDMFBT8+27fmH3/wqYRiobEU7eFIO7JmKq3ZD1pLR+IBu06MrxTBEUAZpFEok9psjDg9u8PDxu0Rymc73CQjFW5EKJtcowZ/5oe/j8fmcf/H+E1zsSSpSNSW6FGVB+iYfySJiqykxdIUQoxXSlyhFCgKVBSSKEIodicwFosiIPuFyh1UaLTSRxGpzyUcf9HgXMBGiKllxa2pi9mQCUkqi94ztmME5BIoQNFVTE+KSKB0/950P2LQtvfPsjUYstmsqJWhzYmotQ1Rcv32XykgePv2YFCI+RKKAWoFPGWKZJhOg3/bcOZqyXC24sXcNnxNu0xYhXXQ044ocIr3rEYCtR2UQowVuGJjMbuJWWzI94HDOFbpJPWJWKZ49WZKy53JxQg4Ri971u2BwPbW0GNKuBCyQVhBCKgcNWTEZ7zGdjnn2/DHeOw6ODrkKgV/7ys9ixw0peJwbynssQhQJkVIZFCiNEgqhVCkba0XrHCprgoxIkYipbOuiSPRx+J2ugBAgksOODgg7S+lrt484Pb2kd+XwroxCS4X2C37g9X0uFoL7Z6VLdnBzjx9+ecrESl6sPC824EQZ1sQU2awdOsOmb1m3a7QxVJVlcIFKafoUinRQSdYisVpelvdahrPVskShpCG6Qkmpjo7w2zkqF7mOVEUWlkLPauUxStLniDYW13WMxhOii8TYkULAjkYEkfn4yQN+/xc/xaPLS+6fnZO8IARPzB13jm6ijWHTbVGmYVg6fCjvmt5tySi2XSzkkbzgJ3/yJ/j82/d4dLrm53/pKzx58BGt6alHI+KgCFlTmUIFsqNxuYDbEQupicmjZSaZCqkUwQWenz4nA9PplL5dMwwBldjZj2Oh5mVJzILT8+fsT/YL8S4I+uSIYYsUMLg1WihiDJR5PUSlaaZHdKt5ieiR2Z/O+Ikf+xE+/OA93r//MTEGlNRoJEoIYk70RIQM5UDcKbISZYMnSsQz5PLcrGzBasvdFsjaETkGunaNViCVAmO4deM6B03FRw/Oia7j+eU546pGRJBkxkowqwRtG4jKQq3IrsBNhgTRCdCeyhSyWMyRIBK3Dq9xNBrx/sNnO5FlRlmDlYaQBlbtBiHNztTtmbdXfPdFhxOSpDTKSvquiNdiDGAMBdkR2K5XzGNiZAzRBbbtCqkTOQrGszF+vcIAOQh86ohJ4mJJq2R20IPfg6/fdZzm8GAfXOTm8Yw/9UN/gI+uFvzyt/8Fsc+42KOUZDa+Sdut6N0KH2PJX6PQ1RRSJMQWk0xZx5iAFIZrk2vsVQ0fv3hAEIGUYFSNcFEVDFUcilnPGEQMZCwuFSGUkAaI+FBkRCnFQgKJhZ6DluwdHNNuW7zvkcIS4lAmXFIiYgCpuHXtJvPFHBcDyWd8HqjrMQbYa8YMusL32yLbcS0392d0OTOe7vP8+QkjkWnGU6SpWa3WRZcuE30fiDlSEj22NLJ9R2MVPglme8dcnT8lJNAaQhQEAgaD1KCEZehahDJFoY0vUifKxLOqRiQRuL2/z+VyweDLQUKIkvFruw5t6/KLl3LBE8a2THtlwqjfVjonFBGpBG0AoyzGKILviSQMFH5rkrw0qRDSsoiWodsSU4epK77wme/no6cPuDw/LVi/LBGiRI5IgkpL+lBKNbPxAW27wYUBqcFmTTUpL1SZBegi+XAhQJYoCYHIzf0DRL/iwieUnnDn5sucnj3cXUIUIZbJiNASP3gOZ0dcrObEEKgUCKOZVJ7re5bxtGK17nh06uhd2SbUtrCq+24gJ4FWGr/TkFtbY7NiGzvQmuyHcqjRkpgizahCZk3vC5WkqStm+/tczi9R3hO05TOv3+Nf/UM/xN/9ha/ywf1HhBhBS6yccHzzFfyw4eTFfVLMGKMQGqSd8LnP/zF+3+//17j/5D3+2c//Vdz2Et/1vzMRUkGSpSIQmY1mBB9wsd2tVSXJxRKNEgmJwvsBUxdbZes6ZvWEqq5Zbgre0g8t2tpikVQWL8pabzQ6IKeefjvw7//0a7z/cMHP/tJTzMgwq0asO0fMCasNk6qm9T1/6kf2uX1rwl//2RO+dPsaTQP/+BsPiMoQcuKtu8e8fG3GTCq2bstXPjhh5R0pgoiZ1+7dw+fE2dlpiTBkQVWP2JsecX71nLpRHEyOWM4vqcdHdMOaHDwlfxO4PjOM64p16zFa0FRTnl3OuVotyEIVgpUoh5dExqgaqUUxJucinSIKRruV9arvQSpyDGitqTAYY2mqiqvVvKw/pSJRKBnWjNj2G8zuUDWqa2SERbci5bgrmksq0yCipB1WxXi4EzrZUYOKsiB9uzWEgK1rcvK8dOMtrl27xjff+zpud1lrKkvMAY1lSB4hi+b8B15/k/PFnIfnJYaTYwQJIezMublMmbVu2Gw2jEYGISS+7xFC7/LpEp89QkrErgcCGe8Sk1HFEBNHk4Y2BLpNW8pzpoKdoE6pTEwK0zS43iNFJoQeIUwxMpuM94FGNwipcEOk85sixFIGhCAJid6hBmUSuFhU77PaMqTEpvfIEJBag5ZUGfoYySoSPYzHNb6NuDxAUgiRePu1l9k73Oc3vvUO1kgGH0giY1TpTw3eYVRFEgGRSnpUVw3J+RJP0JohDBhlMMZQ1Zpl12O0YRg6iJlaVqAEnW8Z1VNqM0L4JbkytG0gyYyPiVFl6DYDuq7RxtJtNlipUFbTdS1GVSijGJzbGaslwTvkDhEslSqbyN5RV0VmtNz0CA2VsGQCQkRCLohjays2256QI9YqpFBooRi8IyewpiIFh7aGz3ziS7z3wXdwsWNkDDfHhj/5pVfwEf7Gr33AreObfPbNT5Cu7rN1Pe+9WNLFxPmmLRKjvOOTh0SQghTy7xzKjw6Pubp4gVKFzx0Ker0Ujo1iUs2I3rHpW45vXmNxscT3HfV4gpQlSjVf9Chj8GGgzNpLv0LktHt2RKq6obKK4Dv6nBiZhus3b3L64pTk+4JHzJkUAStxQyhT9+ABjRkZnOt3PTCFy7BXTVksrzDTGXtTw4/+2I9yfDDjg48f8/VvfYNu06JUhdXl8qKFQWqB0hXZB/quJYtcOiUZZIa6qfFDj9IlkqGN5fjGbS4un+OHiBQ7h4kSKNWUMnxwNOMDbt35FA8efxOZAuC4e+ttXPQsVie43hNT+XznkDFVTWS3cXUtRgiwlk+++SkuL094cXKKi4kbt16lW1xgcqQjM8ShHMwxZJvxW8ekGvPKrX0enF4weNAq412xnHoRyZFyjgsQckbIiNACRcXN4yOm+yMe3X9GM5qyXl+gpEao0p+RdMicCVnjUyH1aVmTgi9l6uwQMkO0pBxpqgYXeyb1FFJi226olGRA4JPnYDplvV2TPdwYj/ji8SH//MkLNqIw7nMuxukYc6GLpUDdzPBk/LCG0JeoaYRqMqbdbNBSok3Bufa+dA6IkoQnRlCmdBCMkCWy3Lak9D9+/P49jdMkEenjwPliyz/6+jc4Xa3woZQarDRsu45leE5li7kw48qKMCf6fkmlapTIzI6u0XZbUrfBEXh2dcqmbhhiQlpFltC5jhg9n7x1zNTu8a1nBdk1OI8yisoatt4hU8lLmayJuRRfBZksyqQ/58zy6oKMwMWBWkNjxvR+VV6ytWFUNdw8vs16u8LFAWsMIpYISdKKs2HDJBc6xCaskNpwuS1khSg2KAKqGqHrfRbrBT4XnOGonmC1pHUtWioIA6FPBfHoSiml6xzTvWNW6yWVmWJMpO/XxORQNHSuQ6kdG1gahBwhVCL1a9CmZP+s5mI5Z/AelRWV1DgRmY0n9M4XFXEMBSdoDVLWDG4o+KacSFkhhGFyfI80bOivzohxi4sGYkQbRdqVLyotiKbizeu3eH++4WDviNPzh3TB8f7Dj1ltFoSUClXHORSZylZst76INSixi7YtBkUpJCIEohUs1gt0EuzPJmQj2GzXqJwZokeKGklmj8Drd27zlWenVE3NxdU5P/bjP8KT589577feRSDxPmJNYfZeLC6JOaGVxBGwLjGPmcU20PsOJRNipz9XKeH7TJRg63FhfQePMnaXge0J0XP9+A43jl7lwZPvlIy51sioCT6WaZYQyFxQg6REjAllFFJE5ldb3rv/pGwNUkLnmqFrGd8YMbgF8/MnIDLGKkqgSNLommZ2yJ23P0esLfu/dp3T9ZZhWLO3P+P4aMZITXn85BmrbknvOqxWhFByi1ZIqnGNFIZ2u8YxUFmDRKIQO3qKY7VyIEukZTRqcCGRUCAUsdsgjaXdXBUKScr8zC895v/w5z/Ndz+Y8+DFhhWqaKyF5HBm+ZM/9lm++70P+MM/cpf/9L/+Llo2MN7nn7/3Pr0AIyQpZx48OeX5xZZP3rvD6emaPkQMFVE4gkg8PX1OVgqZ0+6Ql9FKcn51Qk6Jz3/qU3zfvc/z937+H3N8eMzjZ1e0obD9rZb4PGK1ldQN3DtumGlFTJahHxModCEtMoHMeDyh6zyp78paOAeEqtm3e2x8R7ddo1UptyozQouARDK5dszYNCzanum04eLikkwhRPmwLnGzmMg7UU1I7GRpoI2m73uCTEUW5zalD5ANPuVyIZG2sLCFZkgDhIj3juVmzv7okFoZAoFxLagbSxsUKVIiFlmiAnzn4RNySBzUDVlmVm1HIqJHFaEdiu5eCdquxRhFYysGL0CXl5oCQijFs5Qz+5MJbQt936FrS9KlxH+xbJE5MxlNaIeuPJcEHOyPMdqwXves2y3N+BraB4b4P2BrjZbgNxzeOKLbbPF9VyKD0eFyeRbFKOhdy6yp8Sh8uyV2niEMTPf2mUhJu+gLUcYIulAKnlU9RaqOI0A1kofb8nKUAp48PeHh4xfkUKI+RhiGlEiyxFqstQTvCDlgsESd8d2WphpRhUg9HjOrapZXHRnYth2BiPCR/WbCyBSO+Xm7QqmKt976cYy2vPfeLzBsHSDK5jiW3zljJL7fkoYBqQoIwXqBMQ31tGHYbEixLxjfrDBi15OKPRIP3qNtzfe//Ukenp6z7J4hEFgr6ZwghEhWipFq8P2AVRUiFdGSUAoXM0JZtIiMR1MW8zOMbHhw9giferRMpBx5snb8zV+/z/hwRJCGq67l2x98xCdePeKHvvhJTn7xK6zuP0PnQlVJPhGCKlud5PBERBDUlaXbRTB9DGQpOZwd43Gs1ytE72ndiqQ9GsnqYkXbdUgtWG9W2EqTyew3NZs2YKRmNqvxg2C9bdHGopqGYRgQSrDZrsipSNRW3Qo3dCihC85aayyKzveYZBFZEGSkauoSl0jl56W0ofNbUpJslaGqMj61nJ45fv7n/ylOSHIfSdmRRCJ7x2tHr/BMXrJeLVAYYhwKOc4CsRCGSJmRNnRdv8u9S4yxxJR58eIE5zq0VOUyJKBSFl3VBD+QjcD7LQ/uf5OsHC6WTdyTkydonXc9vICwiiqXI7hzQ4lqaQkykVXJqf/m976L2p0QD43hwETWIuBCV6ynIeFSYDyqibHAAoIsLhoVUyFy1WN8KkO51JfBHkLsejCJSiiMrUl54NHzx6hnCp8SnRuQMpKiRJlQnCiDR2vFxGikjoyULRFdDd4LZLLkkEFFKlXRjCcMVz2tHBi2LSklctIEWRC/cYiIpMhZcv3ggC+/cp1vXVyy7fqSZU8JqyEoTcjFPTMZCWpjuWwXICXOR4w2hOhIlOItUUCQBYueE0nJkhxQHk0uW08SJQq/Kw79S3797mVPvsbKjKgqXqyvSlg/JfpYpuJZql3DWdJUY7aDonUdWQgqY4nJYYxhvjon+kgOuZQ4ZaYdtuUWGss0yMdAzpouhF1JM9D6iNYVn3rjLQ72pnz9W98iZwix8MtTCGht8CGilKVSDZt2Vb5JWmN1hUkJbQL3br5B229ZrC+5e3ybRw8+Loi3VAqylPkcta3pti1dWJBEhdiZ/5QQRJ9w3Zbx3gjnIIRi2Uu7rPTIJrohUNV1eQlWTbGqkemDo9GWYZgTfaSxU37yx/80T8+e8fjkQ9bzFyAD2hqSaxjchhQ7PvHqq+yNGx48/Zjz5Zxpowkx44aSrlK6FJwqpbjaLIkkNLFEbZKkHzaErFDqt81zgiEFRpManzWNGREFNGayM/mByAarLEMISF2zHRzzzZbbRrD1m8LqbiZcXp0iRblpx+DRSqKVIfiA0gofIkYqso+kHMhaYRpLHBL90IKUJKmRWtM5T7stBVUtS8Ez5MzHl0uebR3r4BD+ApU1z8/OmV9cMJtNWa1bQnD4TbHnNqOK7XrLtGlY9T2OwuqPMZcsXAxYUeJTIRVDXkgJvEDGXLY1WRBlsTwGJXB9S61N0TZrVTJ2MZSHqU6EkLFCo2RGJI9IGSEqEJmnF6f8/V+4ZAgOqyVWe6Qdc3lxipVFKKKlIguNIJFjZIgd77/76/ydv9rT9VuW5w/xfk1V1xjdsLxwMAsIZRk3Y46vH+MGz/zpCqMknoFsEj60jJqaWzfuslwtOb+4IMiKGzdeZb44xfs1QhiyKQKvlDPaGGJ2JZsOGC0QGXwb+OhJy6987Rn/+z/3Nv/Z//sdTuep0JBUw6p3dO05/95Pv87f/mePeHjiUabm19/9EB9CKaOrhPQRWRm2fccHpyesN8UiSwwoaRBCEX1CZ1Euh0ajFXT9mhwTdVUT1y39k3dxw4YPH3y3CI2q8v8tZM1sNuVwekTfP+OLt2d8+ZVD/vqvP+J04VgPbndJFowrSxB5V+TV5YWKYaQatLIk1yGNQeSI8z3WlJerQfH8+SMMhqquuZhfEVVRZOyNJrRDz5AiB3uHrNo12TmkBK0FJhY+O8DR3ojNcsUrN29QjQ2LZWS7WbAdHNk45ssBISVKK0gDdTVGS81nPvcFHp7dLwedIRBwVNUeQ7dC7z5DSWRW2aEluAiiDwglcEOHxiLY0ZT68s9KyuHH6BopCp53UtvifXCgdY1VI9q8RAtRVOKqwg8dUihi9qy7AWUsOQ4Ia9H1BC0ydSXIUlFVDcpGUIntdonJmtqOCduO5y+ek2NCC0tOEalV8ZDEIhNTwtD3AWUz2pTXmBCCoe1I0eO0xMiIiBUuR6TK7M8O6H3D65PMuKp5/uCEdhg4ms4YN2POTk7wSMamojKW3JZYoNAlqlIpxdSMaZ1nUksGJ2mqA7xYlSLtkFBaMngPOTAZ1XRtzyq1NGrES5Mpi+0WlKWeHSBDovcBGQqaU2IY4kCfI3UtIUqyNpjKkL0v8jVl2B/tc7pYYWXBZPqcCwlBlshkih6ZBaEf+MpvfRclBSpDIJGjQgnPtcmEuXf0wwa92zAoDQqDSIIUAxqB1pKDg0NW/Yp+aBkuO2JMEMHqiLKaTYgsTpcQI4ezhh/60hs0I8PBbI+RsaQsyQmGbSwQA7F7rhpFJQ1WZrrg2PQLZKWQQZCUpO3XkKFSBkQmpIQY8m6CPNBIQ58DVils0lS5RlSG0F4xkpof+uwnOF2s+cZvfcjh3gGboacbWoaubGtzipAEScpiN82JRlcEEXCxpASa8QytFaLvePnwiKeLBRfOo4RicMVWL0TGqIRDEIYiRstRYytDUI5aWzbbObWUhWAiDahMyAmcR1qJqX/79ywRty198gQKcCJ5Xw76ShFyKmALYxHRF3FSkr/j7RFa0Q+l+ydzRFUSLWpiljg3lFic1gzDgDYVutaETiIxjCrL3f3r3L+4oppoog8l4pQFn3/zLvuzMY9OnpEQu0m4wSKQ0RG8REpJDoHvPXyCVYbpbIIf+tJZrBQ2QEaQKefc2XhKlpbp+ICzs4coSqfQWIVRGo8kh0zYbhEpUWmDi4lcGYjQDT3JgK40KcdCAKtGeB8ZXAvrDAL8tsNYg3cRHxNKWISkSN+UIibP905f8J9fnLEIiZxL5C0L2AwdqtJYKRFGslhfYqWGVOJFUimwCijY8SQECM3R0U1u3LjNBx98h+hbqNTu+6UZckQKVehTiH/pAzz8T4jTjJtROZQJgVUSIwWd67l+eEwKcHL5AiMVtTFs2g5kkSgYoUoRan0JIWNHFbPRAZfLi127Wf7ODbExerfib0lZUI9rDqoxl+sFPmaMthwdHRebqfMcHhzx9OnHeBEgqPIhEZBTYjbdK2a65HC7/JxOCVVZprNjshRcXj6jpvxZWl+KuEJIpCgHmEpXtIOj3ynPhcgokVDS4LPHIEvjmowRhdaSZeTG4QHLxbYwwOOOC28zXefL5aCqcIDrO3SSjOoZX/7SH+X86jHvf/x1UkzYegQpkULAuQGtJK/ffZnPfuKT/Oq3v8Z8vaV1PZWsgESIA/VoBCGSM7QhIFIuSMaUQFrGdcUQHNrU3Lp+k7bbcD6fo5LilVc/x+NH38ZIAUrQdx2Q8KkceKWo+b4v/TDvvfd1auCn3v4k5/2af/buhwih8aFHiFxusQA5krOiaRp8jIytIgdo254oPePJiMaMuNouia5cWMaVYDYZc7HqWK27UhTTEqEUk6Zm6B1BZYTLKDlCG4ULnhgcda3YtEOZnFUjQgzsT6Zc29/jk594i1/75jtshiXJDTu7b5l0F4tjh9QanwqmsWQ5yobCDz3oDDFjEdiRRVKmg4ryMBZGUGVDTtCnRHA946ocQNoQUKamqjTDpi12VGOAojqPO0laxpeJUoAgQKZMbRVtSEilcClRmxo/tOUSGQNWVbsytUNqjdKZMJTy1mbbUpmCMTRIVLPHrRu3+NEvvMFmWPFz//gr9GFgPDpA6Rq3vSArQ9/3iOB/p9QXfHmhVEryR3/0DR6czvnoyZLQOqzV/PEfu8m/9kde5ZvvnPDOhwtA8vYbe3zqtX1+5pee8LP//AVSaoI0BD+UEm/IVNbSuUBlKsbTmsVyQT0ag49F5gQoipVTkImC32Fal2m4pu0898Yj/vTn7vI3fuNDVlESiWX7IRLjesQPvv0af+j7X+F7T86J2y1vXqv52uM537q/Yts7fPT42GJkYToj9A4VWJ7k41FDDDsqQk70Q8RYVSY1lcEmCTrjnEMZQ98NxBSplKapRmz7joRgOpqWInFMuOQwBqAI6mbjCdO9KefzBdf2jxhVig8ePKdzLZWqySqVyboURfzjB5rRCCnKttH3a7wLaGsRqhwGqkqRg8THvnQcREVlQTQTYl+40QhIfSjECKnLxdRqBldW5ZWtdp//EUYruq4lklCiWIdzdEwnNa3zsMPDJanRKiJ60KYmxMAQA1l4RtWIKDMiSXIsoqqcJdtuxaiZEL1H5RKF8WF3WHctSMHR7IjOlwgZOZf3RipFMlREpxLREGScT1gtuXZwi6vlEiE8N64dsFgW8lXyHpSmD5HpeIyWI9rthoDn+uGY3/+Zezw8XfLhi1WJziXHtG544849vvXh+7RuixsyWjSlt5QLXnEyrmm7dpcNFoWJHwZ8TDRS0TTTsukRgfD/5+1PYm3L8vw87Fvt3vs0t3v9e9FnRmRkV9lVR1WxK1mWSBoSScCyZEjwSEMD5tADGx544IEAG/JAsA3YgClbsA3DtFgiRVUVi9VXVlb2GZERkfHi9e/d/t7T7Gb1HqyTnLoIFpTDQERGvHPP3Xut///3+z6fSHhmxhISUBrGtMZoQ6MEzkcO9/aYWcM2JrrlAaevniN3B9v1sEErg8sJszOKZkBrTclQkqiITGlIeHLOGKF5cPOQv/3LX+L3f/Qpn52tuXHrBpcnx3SLjqvVgNixqxujkbbQ2SU5OBSa67Cl/Dy3nwpTqlbNGimU/PVf/Tr/wd/5N/nN3/kDHn34jCs3crndEoJHWUGZKoEtZoELU42d5pprPtg/qKXnqUqhDg6WlFj/HX5yHHQzfumtA+bW8ic/O2NTMiEVEBklFdPgd/zzjIT63YpALvgQEVIgbZ0gz1rLOPYgFVopnM+gBAbFFBzL2QJFxU0WpWmkRajC1XZNLLDoFphGsb93k/NXz/C5Pp+MKJRcONh7wN7NOzz+7CdAJudMyhNKGpSUoHMFBZRSh14ZEnVbTqkYU2EtMtVNUciVepVKQSpLow0lRkIBoTvc9pqmraLIGGBubC3T91tarSlSV8u5yASXKLLy85USBJ/RUvDm/bu8desOP3p8zGpzWS8yUtE2grmaY3XDSX+OyNVQWmWquXoxtSBOES1BFM3B4U3i1DPmCXId7IUY8N4za+cUYXj7jc/x/NVDcirkCCEP9f0XMs5lhKwEKilVPagSq9l7/z6Dv2I7bUhC0FDL1hFoVH1+lyRIxZFzogCd6SjSMI0TpfiK7hQCow2ySKxumNyWomqxWimFsAopYdFaxu2E0jP6Yaj+H1G7h+zOOyWUGrlSQM688eBrfPGr3+C3fuv/SfIen6Yqr8vVghyjJ1Nw3pPzvz6d5l8BMXmDmKrtsTMGqSzBe+4f3CHGwMvLp5SimHXzyrqOod5iBKSiEEowty22XTIER5l6UszopsPYlovrE4TIdKYjlAkpNEJbwjDR2SVFRxCKflijhKaxCiMbvO8rG1RaQq4oRSU02hpmynB3YbmzN+ePHx4TKewvWpSZ17JrCthGMAwDKVVEU2s1Uwxk6jo+BVH53jIgtSKNGVQAJXBDlVu0s9re19JAidw+usnp5ap+AWUiU2iKZjv1KGXoFjO26zUxJ7quRaBopaZIwWa7xZoqM8o5kLPCRU+j4c6tt1ivr3GhxwdHjAktNEIpAg6VQCpdCxxkjG3IpeB9IJdA0zQ0pgVp+eoXv8jj58948fwJAomxmkRk3y4IJZBTxUF5H0lhopvN0LqhyIKSGpNhPfVYJD4HfIgcHCy5f+OIjx8+RzSK+0e3WQ2JIYzc229w3jNMDhc8s7YKHi7O12gUZt4Rnadt52irSKOva6wcIBekBERTudDDNU2z5MbiJijN89OHteFeMmaHJqQAUjKftew1c7ZjZBO2+LGvYovZonoDqBZOKXXFbpJI0SGlqZnW5BFKQqxZbwCUQCqIITEze7UcKupnLkSpqnNpQSmWsznzxYzzk2MSgpKrx2B/viAlsGZOt1zy8uXDXQ9BIE09rBkpmIIjlLo9mNlZlUZ4j1SCEvOOMpNBSpIoNKqtGLcYyb6QSbRaM+aEaebcv3mTtjM8fvaUcfQ0zRyjLVY4NqOrPFwpmS9vsOlXxOiBxN5iydc+f4tPnp4zukrVCFozmzX8tW9+jqU848aeQWj42eMrPn7meHlRH+JKNmQF09Cj9A7ZaVsSBT+OWGWYL+a8/4V3+ODDn7LdjqQIyhRSrjNxJVVdh8uMUIZG61qqIjFvW0oGrTSroUeoSmNqTMO//c2v8B/9ja/x7UfH/ODTx5ydXXHpR1YXG24dLmmV5ZPj8xqtMi05ZmIOxFQQKSPULge2izfdXC4YkiDEga6ZsZk8MyNxsZbdyGmHZmzwLgD1hSeU5dad11hdXuB8j1C1o1JyncwnUTPg2qjqrSiyToxSqkZTBVlolO4IQ09rWm7eus3q6hIXBkSK6K7ammNJxOiRpUrpajRIklRg/2CBnxJuiohSgIKUGtC4sK0HedNy8+gA3/f47MgxI7IlyUiOsV6mRKGZdaiYeP3oAU8uXtbOUCrMbYMtkcuhRzYt5EqQEQJmXUNKiblqKEazXq+IMXFr/4Bm1nBydY3INRethCIET2M1Qhpy0dy/8zrXl8dshnNq/ktSSqHVkj4E5p1mcNVujBCEIthrDH/717/IR5+d8pPnLykJFIobR0s225757IjBRQ7252R3wd/61jt8er7hOx+c8OZr7zBvNU9fPSOEyHrY1oPWjqxlharPda25e/ce/XDNZt0TQkTojFX1MiWRSKXJKHIcSFQ2tpW1y+NTvZsgElYKQJMVWClIUbNczri6PkdkhTUtV+O2IjhzojGVqS+VxvuBImqJtjGG0QessQjvKToRPNw83OeqH3feFLGL5QS0MSirIUi0UmSVCTEgS8ZQN+U+RFACKxQeMK1ibmeMPjFTktu39zm/6jlsDGOKvLw4J6eMNBZtNGGc6u9SLrRtS8gZLSRHB3fRnUKmhuOzh/UAlgVCJhphkQS+9OCIr752wHef9Hx2teW636AQu+39LsucqRb1UjteJUmySBRVEFkjS0Y0DX7XJ4KE84KurQOLkDPL+R5h8sQSUEYiAa0bQkzEMKEby1wplnu3Obt4iU+RbrGoMrZcAMn+0W3G7TXeTUijKcXXMrBsccHTdnu4ccvoe9pGk2IkxDoBFlSvCFkjRAKVkElV1GKzoB8HZs0ewW/xKZFjYN5ofKzizUrMMvUsoCzDsMHk2ktBWg4O9um3PTG4WuSfN/zyF97kO58+Yz3W5w1CEUOgfkSSZTsjycy2H+tGgIIWhsZa+tijhMW7sYo+Zy0hTCQpiNNUUxtSVOmcakk5VaneNOx6aIIQAkIX9uaHjGNP39dBrhKVkY+oIqx7t99itb7ACF1dE2UiIlgu70CK9Jvz2t8REFNANwaRMjEJUqo41grG0KAjEgExopuOFPyucxiQ2qK1xmiBd5GsNTHU4q4oEWMlORZEFsRSdvQkmNuGkjVZZqIPIDQ5B+7cu8ONm3d4/ugp62HFbL5kfX1FCO6/u0P8/mK/cptzoZp5JUUXVMh84/Y+N2cd/+TxGbbV5CwYxw0LZXG72yNk3njtdZKbeHV+wWzeMa1XaNvSNkvW4wVSlPrBiJrNi1Qk3axZolQhA+vtGiFBC8ViPieXhJvGysdWCl0gS4kUFqngoO24f/cNPnv+lNVwjULRzAyxFOIUaVpB9ImYqgBi/2CPi/U1UgpkrBOfL7z5ec63F1xvr+tDIdQCTSyVKR1TwRqNdwNWaLr5jOXhEWkaOTk7xrYz2laz6ad/SeTJGciZxlqUMhA8SRRkFhTbkEKsq+pSiDFhELhcxR5VAJLR2pCiY9bOMG1DCIHgQn14NYXoFZ1UrMe+mnVlYX95i8YI9uaGRy+OiTsOswiuludyIUUBqm4mcq6ljhJ9/eIKDdKwpwyrYcXN+YLVsGFK1dbWzhpElLRIvvqlr/Ls9DlPT1+gisX5CaUUrZR1jakMLrgao2okw+RrWdAYrGiY7x9yfvGKGB3KaIxqsE3DMAwcHd5DZUE/bBndiskH5ssF2W/50juvsxkTz0/PcVNgf75kGFYUUbsKN45uEUXh2cvHNX/q6qQsC8PoPYuudiuErMKfhK4r3d0BJuVIaxtm3R7z5R2OX30MIhKCoG0rdSmEQmM0CMXtWzdo04zn18+qpp5Cayq2LJRagsypFqiKUCAyOQeKtCTvyDmijcVIizCa4EaQoIUFBKkE3OSqKGNXSIWMLIokoFGKuCsW3dm/gW46zi6vKAJizLzzxntshzOOz57vYkQKLRpCqVNxREFa6KRkOwWaxtK2S/rhihAKrTWEGGl2G4KMIEmJFpKDbsHt22/y2ZOf0C0UfigUAaOvTOoUClpklJnTKNj2m8oPzgnbWFyoOFSBqA9FNG3b0HWG2eEdLk6OUVlgZMZFj08F1bT15eAdD27e4ptvvcHJ5TnPVmtSzlgRef1on1/9/B7ZC/7zf/4BW1f7I63RsOPR+1IqyaFUWVCOnqapvHnkTqgTc7VKOlejf6LgUqzOBiHqcD9BM5tDLuQSacwM57YUErmwczjUfHNjDVLP8OOaziiy1oSpxncKBSEURcpKoCoZVSRoXc2q1rAdPbN5w7DeIiQsmwUuJ1L2zDrDN7/4FRrd8pPHTzk5O0OkxNGNm8zmC45Pn5FiQaqW/eWCuN3ihKNRHTkoQk5MaYvVClLGSUVxjq++/j4n18ecTVvIick7OqMRBXpXzbVaanxM3Nnf48tf/Bw/+uAR26knJEGnFQ8ObvIrX/oiv/PBD3n56hVIUaN0AtRMITMYu0+JBTf1uLxBSYMREts2eOeZvKvoxJ+/XH/eO9AwbzWpKNabLUpIDvYP+Td/+ev88Y9/xPnVBpEz927c4mDPcHx1wZ17d/jo46f1Mlegm8+JIeH9UCeluvYE9o5ucH29wjYtJUBJrhJffIYSUbJOK0vS9WBcEsZoEPXEVqRCSVn19TpXHLMo+KJolSZljw8CqRXGSrbrLYvFnMl7SqxT827W0jQL3DAS4gBoSt5NRhFobXHBI9sGpWAa6sV58hGjVc1Ep4gWmZAzNw7vc3h4yLPnT/HjCqMF2YKfSuXKC4iJ3ea6DnXIkIk0xpCz4PWDJZfbgW3w+JBJJdC0LXHyKGGQRlaTuc40ZkY7O2QYT+j0HlNfvQ+pSNi5Kr7w1mt87s03+YM//zY+NKA6hs0pSkiirNKxxraEGDBK4f2ENpZOagiRwxszPn+44OmqkPSC4+tXGAFTcsgkee3+fZ4+f0YRdeMvqCK6wY3klOisoDHzSs8KhX1l6LoWaRXbHNkOI8MYEUhEClhj8EJUSVNMKNXQCEFIDoSmaWes19dkWQv8SiqarmMKrlp/pUSkWqafzWeIIug6CK5wtdqizE72JKodXpQdxjg6sjRoZWg6hRSSdb+FGOvjSGps0zFsRjqtuH3nFl17yNnZc67jSJkSZI8yliFEWiu5udhj3XuKEmy3K2QRLE3HRMY0ltH17HWHbP2WGBNvHd3il9/9Ar/53W+zcT1aSlohSUYjZUOME62GPiSs1TjnyUBJtc3cNIocazxFZIdWVE9J0ZQS6s+6aerv4w7j+O4Xfo1+s+H4+Q8RRZKJKAlYAyHjQ43e5ZxrRDYJpJAs5gtyTrRtx3pzjkuwaAVSKZyPtNYwTIGU61lMkDCi9kuGqX5OCWiExPmRxiwRouCmEW3qhioVz+HBXWbdPgfF8bK/ZLseGcJUJXn/mod4+Rc5wEMVR+TCLqMIjRWYlEHDy41nk/aZNx0pJfzkMLYlCOpUXAvefu99zq7OeX5xwjRNeJdJBXLxlLwhB4cudRUYY2Jygaq4Eoy5J6lq5zNSsDSW127fZ9sPbIahEiusRpfaeo47o1aOiTEHPn7xM8bYI3LBtpbkI/gApbDdOkIslFxziDFCSSCyQBhB1zVcDz1uqi9NHydykcRUPzqtQZsMpLrqFoVxmri8Pmd1dc2i3UcW2Ix9zVIVmOs5RskqM0oJN03EXMhFUFQixh5ywLuJmCaKhiknhFFoY5nNGt58/fN88b2vkGUhisLe3iGLeYvSAtN2lGLQSH7tl/8Gb9x9DVQVXMmY0VkjVJ0qxxjQpvAffPEN/sP3XkOgCAj8OCJyJMaeUnydMAsFRmJbw63lHq/fucvFMBCKoOlajNbksIt/KMVnx8/43Oe/TNMscdlhrKEUSKJQqJfBVlgoBecLElvpQB7GNDAOl5USkiAGuHv7DjcOb1BInJ++pB+u8WTaxYK2aRg2W2am4QtvvMWyaTDCVu10SYSciUWydiOvrs95+fIVjTDIqOokV0l8mBAqM3lHKpkx+ppdKzUrH4LbycXq9EDplsmtQRRS0buYSyGnUqevotB0huPzEy4358iSOZwfstft0+iGvcUSnxJx8rtJTCDnwOQ8lJoPVUKSUkHVYyQu9KjdNmS5PKoTziyYz+ZoU7P3MWRiygirEFoyBUcptY+w9SPX2zWvPfgCd4/eZH9xgFGF1WZVDz+6SsMSnsYoWrPLqMeEREEqlATDdkvyhZm1xBQQSiIXSwISZFWOx1zxeW/cXbBYzviFu7dprWZ0DqM1qtTNhZANw+QYYsK2M0IWpB06NvpcM4Qpo4xF65oB7oee0+eP0cXwxhtfwbRLUs4oLbh5405NRBH5xttLLodLPnh5xdnlmnePZvxP/tqXuHuk+N6jK/7Rdx6RcsaoghWVINAsF+yGoohIncSXzMwacsoIGSEVZsrSNRrbVrxt2kXZpJBY29VprVAopZAik7VGqZaD5Q2EUIhdBEsUXSNPokrgSrhm2Wp8Tph5g7EChEKrBqMVrba0ZoFUDUkognP4kMmhxiliqCbgpmkZ/UgcA1obRq/48cPnPHx5WrngUtbPVP18a9DSmirXu7q6JBaBFA0eQWM7pDIYoWuEy9RBiZKWD55/wqUbUKnaMRfz20jR4mKkkQpd6gZt3rZQIPQDb9w9pMSIEoV+GnmyuuL3f/QTrq+vaaxGUr8DCIHfREy2vHbnFs5tCKlHFYnKAm0l+3sLpDE1EpQki8Ue9167T5GGkCZ8yKxGzzhMWKEJMbAaV/zz738f76rcL4bIZjuw2o6cXw68fHJWX7AxVgNpzDX7j0QZhZCGwRW2qwERKkbOTVVzj1LM50sWzR4kiZQt9+6+hjKiDnBSomTJFBItlg5JazJNW9fzi9keakfJsqpl0XV0tsONASUlpQSMSiiVEWTGaeJqdc7oRyQGIyXKGpIUTCHSB0fY9SNCjmQl8CSUkSAVTaOqOThFjNB8/o03+bt/62+zP58htCRry0Fzm0Y0GNlQZBV/5RRJIROjxxiBkYrkC2R4fr1m4zzTlNBS0eoWHxKqbdFaQM4YDSoXQui5uHpKiB4lHL/43l2+9MZrWKkpOSNF5OHzY773409Yb0Z88EhRKXbKVHa3kJK2bRFSUgQopdhbHJJFwlvBzYXlF968RR9HkjIEH4kxV5FbDjx/dVz7BVIyhREjJJ1pMNrQKktOkhDq5XzPCH799Vv8g1/8PP/huw/4hbsPaIvBqPp9lLJmnaOPuNEhpKrvoBiR2hClZLW9JomyiwTJXVRvoOSM1Q2NMjRGIaXAuxr7u+49wzSiRO0siCQQSVeanDV4X2VJbx91aALr9Zp+2uxM9wvmsyWiCNw4oI3k3v1b/JVf/hqvLp5y1Y80akGWUFSpQxYSB0ZyuFT45JAlsWjnKKPxJhFKZJwmtFCshy25REiJ6+2KHz78mCnVInKhEESGHMkxEGPC+cRiNqOxhmY31dRK1g6CrJfdlBxFCBKKnCuljhQplGoz37+JVAZi4sXPvsNw9QyV66RcFCqNSs9rQVhWTGnJYBuFtpIbt+7SLQ9BStbDBXYHpVB0SCFJWbDe1G2qKgmRU/3eyoZxKpQikaVASJgiUTv6YUq1QG31rHZAMLhxw8XZMz67fMUUEkX+5ZRa4V+h2KpMxfCxE5qshwElG4zIXETH+vQp446CkkVAa0vyiUYoopt4+fQhSrcsFktW8ZqCxBdJKw1zrelFhyi1EZbdANJWYZKQeJeZ4kBSVXPvUuBsfUHMoa7NdLvDxP08R6VRRRLRrPoBaxXeZ6QxlFyYfKIQabsGnZqa30bSKFFXSFrWjGsyCO05vTzmoFkg7RE+X1CiRMlaTDJmzqJZst5ckFPZZbIqdrMzDS4G5l2DzoKNn+rKu9GwKUgpsELUL7iu/Ouc66pRa8DUW7b3DqVqwXSv2+fGjSWT95xdndUyb/IcX55RQmBhDfPWcrFxJALjiw94/9BycVnLtSs3srx1n9PzF+zZlilscdHx5ydn7LdNbVr7OhWWNMx1ZrbsmFygMxalYN33nOeeX/3qXX7jV98mOM+Lk57vfrKiDwIpa5HqYr1i1Y8o1SLyFmE1FI+LdQXsYr0tz2YVR2hswzB6UnbMxZJf/co3+d4HH3C52dAYw8sXz9FNLeKl7BldJmcJWROSQxvYlsx//affqfl7l9BCst1uKdQb/jSMTCFXPn6RqCIIk6sP7UbT+1CZwm5EG4toG4oUlKmWdKy2SFWI0bHZnuBDpJESHwKtbVBas+zmXG63ZAVSNLQ6MjEy5ECYBiSaKTimhUUrKLmW1OZtQx9GjKoSCm0M/RjYbztiqdGS7DORTDSRBRMP7t7lerVi3V+Tk0DmTNe0O+OtIadq1XQ+U7Ss2fuUEH7DejsS88Tx2WOGcUCIKikjBiaZcXFHg2olJWVWU18znbKumAWClD0H+3tsh0DqB4RIiGxQJASBdT/w5z/5gM048PGLxFQEFHjzcEEjMx+ebFGqft999Ny59zonJ+cYJXDBY7UlRkdjJKVAmBKSBmMbkLXz8erFT8klkUstmp0cP8Iog5aCs5XjdD0SUiSEzKwRvPfWEf/4Bx/z8fM1SioO9xo+d+MOPztdcbyZoIzkXFgubxB9oPfXAHgUUgSSkDXXjCWkXHPC84bsqk+hSAHeIwT8nAQsQyGXgSLg9OIJpu1w41QnrFJRYjWkxizRaHrnaeczcigcHNxlGDf4HFGiEjwaKcBKBhfoZnMaO9vxiwMlgFYC5yeiBNEIksuopmF7vcGtAmZmKKVeprdDTz9tsULTzJdoYHLgMtgoabTAzhqK0Mz2Fmz6U0zO+JApRhBdREXIRbDf7fHVL/4CP/7kQ8I0YjvDcln7N8TIkByfPF8zU4qYCil6lsu9+gy5OicUV6EHUpJVLcMZo+ndwKNnj8i5dg5u7h/iQ2AcE7M7t9kYQWv3cMOau0f3iWlAlbFufKcMseBFQitDqzpESlyfX2OkpugavbncXrGNBmsaVtuBUCr+UJSISwEXetrWVqyrMAxyIohM03U08z36aWAqHpElSgucTAjdcLDYx8o6FbW6IaeRIhSdsWx9lRA1UiO8RGTJODk6BX0u+CkgTCbFatyWWuJSrNvwLGiMwsdMAdpmxnK2x9X1CW6aKqFNC6TOGGGIBfJUC50pZRoDQRSkF+QYaFS1Aj95/ojZj2f0bqg0kVRIpdA1hvXYI7SkZMlyts+mr1sMIXLtWKSElnWqenR0wGqcKBneef0bvDp/wjBcIaXHlAq8iKGy+KWEkhLvHFn+p7/xPk8vHP/Z6pqnvd8VQiMPT57RopjtGZazzMl2wOUaCUw50I8rYkgIbWqZe31Ri5Ql8+Nn53z87IyIxl39FKUVY4bsPEJWZ/CtO7eI3nOx3lCM5cbhTcZnnxJ1QqmKsNZC0CrNr7++z9/7N+5ysSo8/u1P0MqiimeKYXdOgtaaiucUgnaxT3aJzfYa2VoyAiELXScJ20QRikZJtGzxfkBLgyThvK+bGhoyueaqpSbl+jNRIrMdHXE3nT5sLX//V97hn/zkCd9/dE4cBMuF4Fu/9C3u3zrin/zu73N1dYnVipfnZ/yT3/t9Ru+YzxvW/UUVRyGQekYjBVMufPryghhBWk0MrsYgXc3uh5JpdK5QBOrQxhXBo9UlUkmQVahVp3eZQsI2tVi8HUasrbJEIwVaGIrIpJAppZ7llNJ1IKUSk89ED13XVEy4czUtoQSjdywXt4izvpKOcg1Ajv0GckZqhVaaFCa8TxjdYEzg6vy0Ug+FxIuMsZYpFZx3tFYQvCdFsdtiKFIqdVgkFZDxviC1YJs9Qgt0AKErgCElT8kRYzpGN9WIUwHvAzLXxAl/sSDMX84hnpJrzEVLsg9ooeu0CoMxHTdv3iBcnpNSIvYTMiaUtBht62QvO4qPCJFRsjC6S6SUhGw43vREci10KklUGq0NLQKfMzLXZvt8NkdEwdAPaH7O8hQ1A+oLWmv0Tiwx228QfabLsBkjStUVsI8Ti9my5r5kIUdHLpokBITa8K+9RwVC7ibEEXVjn1mz5OzRKU1jESLXqVdR5OAQEhpt66ROFASCWdsxuB7V3mLsj1GyHhin6LCNIviAKwWwNGiyDgQX61+TGmsU77/1FqvB8ez0hGEaCT5wvb3GRUcWEpthb9bx1ufe5/nL57xzcMRX3n2b/+qPf5+rzcBnx88p2uBDpOQNxi64cfNtzk9fQhHsz+a01vKT82va1jGOE6Zd7gyKkVu393jrtTc4Obng8uKatE38zV/Z5+/9xhs8ebnl4cstKRf+6rdu8x/9u+/wX/43j/idP6s/25QL3/n271KkwDYtsghm3ZJ+U/sAIQbmralTTm0BVTm1RTD6kR9+8lOuN2tuLjtaa3l53rPeOJbzOV54fE744FjKGTPdMWZHmDJ37r+OEjAePyWkuDt0JqKPtHZGKgGkZDnbQwuN266JopAQSFkQRmJFQ0LUl5Ko0ZngHOPkwZZ65/IBLSBSpT65ZIwW1ZRnFXmacKwoKHxKWDPDjwMKhVJNlY1oQ6JGpjQKlSS+ZKbsyG6iUiDrZKdp6mQRaRGhcHF1hWsdjW6ZdR2iFEIudXIdIyXXiXFrO+xcMDnPOA38W196i8V8j//3D4/ZThtkKXgfUVrvGL5U5KCmbkakxCiLLgHbGWKOuMnTGVNLRc6TY+LG8oDL9WVVk48rchG47AnriSLgLEaksuwtWr52/yYzo3l8+ZCQAlIoKLVAbVvNOAwgNIvlHpvtFSUpUq5cfdPN8N5jUiKWnlgCWQCiIJIkhYxIgWwUf/zR0yqPSRop4Pd/9pKPT9acjyNZwFsHHX/vG29wPXguhomLwTH6CGhyMWRZM+O3b9ym77dM4xqRJSILkq6uhZwEkx9RwuzymApknRylEEEKvJ9qbE6K6rkYJqxpmKLHxYLNCWUl6LrxELkWtmMu7O/tk0dBjnCw2CNJTYoehcVqiQ8Sl0fE7mUapoFWL0CCsYtKiKEwm7WM/ZaQB9xkMLqrAwtg78YtZKoHcQnMlzexEm7aliE6Ll0ii7FOAI1iIZas/JoQE9a0FUfbKqKGj599Rj+s8VQc6cpviW6LLDXSNa5O2UhDYxsmPyJSqOr6GKE0JDIyRcgSYes6ukgIwSOshZi4Wm0xuj5PLi7PCK6nSEnIheOzcwa3qgx36mUzl0SjG1rbklygafeZwpabe3dYD9f0PlAypCmStUBrhYyFED3aQKMyN+/e5vh8hcLS7i3ZK9U0fefOm7w8eYzVtY3kfCSkLUXViIeUChcnovOgFI1u8dkTo2duZ/XZLECVjCoN/TTSmcLMCFwMhAxCC0SuFDYjFUEoBJX3/vNIi7WaqXimnWix7JjjZoc4zSEBmcXekn6zrV6BvT1SCFRFZ13fvzw5ZjP1uFAvsyU5rtdXNLIWR0uRaC2BSGtaVKMY+oHWSkJKNSJSMpOrh/WEYLV5ycFsj6PlkidPPuHwcMasbTg+uSYVQQqRubE8u9zy/afXtE0DUqFiFeI1yoLKyCz4xc+/ze3X7vBPf+fbxGFDcpF5Z1jMZ1xdXRNzXZ9NwaNUUxkgusWXQFECMRXINbqUhUQrgRSCcTtUu68W9OOaa2OJUpFyRSNDxgho55Zz5zi7TpxuJ6a4RWaPSJmcC0ZZlKwxOdNocvRk75B2hu3m+GlbKSfUwqlWaTeQVNV/ICXp5xuXKpnBSMUUY90MC8X+3j73HrzB0+cPETnQj/V3fOPg//YHj7icBkBhd92uplV87u077H2/4/JK0A8TgkzvpxoFnrbIDI1qalmTyJt3jrBG8fHT8zqwGTyF2j0SCJS1tKVQ4kQmY6UimYIPY2W2S0shM1/u06+3tRMmckVk5RohSqFGFZVUFAHsuhdlRwrUshqSVanDQTs7QFpD8iOjWxFzQBZJRtGaOdfD+W4DrAklEMk0tqNrLfuLO5ycPAOpCH7g+OUWKWXtPZRSHTu5WnFL9AjTYIRAKotREudrVyClSEy5OkQEaApFiGrQ1poH997j5OwxbujRtmExm7Na1y2OEhKVI43WOP+XM4n/C2fi9xYzCgWUrXm7Ioii1PXQkGkbC3jGXG8ZVjdIYXEp8tqdu8wWS372yYconSoL2tQseHS7ohQJIRRf/fyXeXF2wuX1BewmGW3K+JJIpTbZc6pbgUZbSAmhZbWrITAItNRIq/Eh09hagDDGEoJDCVGz0xkoE2PvsXaGjz0igzYGH2vDvesWxJToOlDaMgxb4lTlKHmXhRdC0TWC6GvUKJeENBaFZm/esuo3lc4RRpRuIVe7o9gJY6JR4BPaaKL3lLqNpJWCIBKN0Mz2bjH4gf76GiUFXdPwxfe/wuVqxYsXrygUlsslgxshRu4d7nN+ec2UEz4GtJa15KGr3Gkxv0nyPSF5tF3Qqoar1TGyleRSKTLsftmameHw8IDRwbbv+be+seDf+Wv3+d/+Fx/z9LgnZer3QRteu2n4B//xl/kX3znmn/zJWUVgTVVNb5oGmWGY6jSSUlBGM5+35DEQUiIqBc6TgPv7B7x15y7ff/QYaxVvPniNpy+fswkjipr/E7rF9wNaJRbNnEygd4k333iXo4PbfPjhn+OzJwRf+xZFVvNcJdYhikKXSiGZHSxwLjCOI8vFEbPZIdt+Rb+5IMeAbVtcDGil6xbG10JKIxVRSqRQ7HQAUBLGqDqZMHU6JagxnOB3xTDbMLkNe/MZ19cbQCKlpqiCKrriuWShaVoG7+pqlZrFNsISgiSZhJGaOzdv0ZiqUj+5XnGwaLm47LnYXJGSo9MtMhUO9va4HEbuziVzqfn0uieIAjFiiiJrBVkR0ohtNCrXyUNMlXySc6IxipQyLkSqtLMgleHejVsIabm6POHz773H02ePmKap+h9y3vWMNakkSkkspEE2mtfvvsP1MDCOie31KdJqQp7IIZLZ2WVzQIk5U9hglUQ3M5yfKDmRYr18GKvJKdeMvZSkHRVCFLCzit8UUnPQGb75+Xv85NEx51drvvm5e9ydt/xs7fjRJ4/JUVQHhajIQ61qufhLb7/Pk1dPGfyKFCCUhNa1GEeseeAiq8ZexEIpomrRa0q2Zjel2EnvAlZr5osDUiispw1GVsSaEhJtLCGESmYyXSWu+Imm1cybGUK1hFLq0y7X2FsGskmIImvBLokqLNINlBqDS2FLnhxWt/W/a7aosS2h6OY1ZgINjW7Zn9+gbRRlmlj1G3y8wmtIUROmbaVgRYm1NSrYSM0UJooQiFLQQjJMA1ob0BJZco1rIPEUYoTG2n9JT7p58xYnl6eMU6QIxUwKpJEkFF1jGCZHIde/5iZyAmsNe4sjtsOWMYy0RTAmz2JRC8uu73n96IBPL89JOVcLd84kEgeHt7heX6D1rHYtSgCh6uFC1Zd6EGWHr8vMW8Nitsdqs+Kg3Wd5+IDz65f4cWSxXHK1vmJ/OeNocYiyLS9Pj3F+4OjgJoeHr/Hk6UfkPNSyZim4EhBFs6cbhujISqBVS5g8ulPcM5b/0Tfe5tPTS37v2QUDmbA7qMWcMKbjztE9zq5eoJQgeQiiHgZNsQgE+3uW69VIKaBtJQHFGChSUVKilIhtGkQp+OiRUtTBYNHIUsi6UELll7ddg/ORVARSqt3WO7LsFjTtjNVqjTTgxnqhzjFiGsmdgwd8/d1f5M8/+FP6EChiwrsBZQ0yCjQanydi2omftORo1iGUok+S9XaDKJGb+/u8PL+ka1ruH95EtIanL1+SSyCHRGtaUqn28OACxlhiSsSQ68bbGpyfQClMVigtmO0tWa1WpFjRvkKWKgnLklginW0JMZJyoT7qClYLFp3grYN9fuHwBifbgR9crbneRg6PjthMG7b9uDPGF7pZi3cTzgdMOycXVYeSMfPGg7u89cX3+M4ffhvnB5Ks71JT6rnJyGoHDylRRO2RzRqL70dm3R56viCkgWG9BqCVakf8U5ilYruaaGR9Nt68dRNS5HpzjfORwVVggRQaIxtmRiJES8gjjTVMfuTv/8YvcuvgkP/rb/4e29Fz4/CQG4s5D5++JDWKEjJKJkKqz7+DtiMFGIvDuQr6kClSrK3vwLzrCSlJzhElJSEE2llb4y8iI4MmxokIHB4dEkqhX11jBOw1Lao94PDOe6zWLxjXJ4TRMyawtm7Vex9IybFoF6TkSaXS3qxtaww2ZjTxX170oohIquBSZtj4EVUsShZaU+l1pWi+8Y2v8+nTFxyfPGfeGYqQTDGRQ8IqSSgRieLm0RtIM2O9OmOzekVWEiUlOUWU1bXgniCXTO/G/7+Z979U2RMoSq6FOykVPieUaJCiQSiHC47WVExTTAlUQStBKpKLyytcEGhlwQi0mCCC0aZqhrUCND47Hj15Vtd4SvDm3Td5fnzClASpRKxWZF2n5EYKBLGWH6gmuByqcrkIGEZfXxCq5fDGPVIM5M0xe/PDKtuRMO1wWSUFjOy4e+cupyfPaFVHwhPcQKSQVvXmVEQm5Z18SQtSTrspwRzdCsb+mrry1AgUm76nMy0xRKzVJFlwUwIFJXpyEgiRsDtEmI8RowzkzM2jPYYQWfcDarpmGgaUruvY+XzGl97/Eqcvn3NxdUEIEec2JF//+Senp9y9+Ro3mpYXl8/QMZCpJcgQIpeXr5hrC6Lg88AkQ51ihVxJPNTMoWwK0TmuLi8IUfDmPcvf/e+9zv/qP/8BK98gG0uaQkWOKXh5mfhP/+FP+V/+J1/jw0+veXji8LnehP0YSMXXUuJ8zvpqTcmC9XpAaUMWkjCOIDLGGC77DePLRBCZ1+6/zftf/gK936KcxgTwObFaB4ypOft+6mlty+3DG7x69TMeP/sYVWr5UFPRXbppd/lmj0biwlh/wRtLv+4r77nAMGzr9i8OFBFIJKZpqBMLP4LUKGFQKVLK7qBma2lIKF9feiKTjMG7QIqprtd0XSfGUF9ypSRCdHXCoC1TjGTvObp3nzBtGbfrSnAS9cU0sw2hZMbi0dZitEEogdKBf+83fp2DvRn/8B/9M16eXrIdBmTKQMPBfJ/7r73J48cfgwi8XBeaXclOCsi5sqL3mpa95Yzjs8I0jmRrWM5atmGLFHn3e59pZMP9N17j+GJVS1jRcbG6qn8mpfjJRx9zsL+k6QR5mAg5k2LBKs3NxR1Or5/R60LsJ/yLpwTv8DFhRJWCCAUSQSkVFZnQFOEhlxq7SgmhMtp0iB0MzrtAyQKpTUU47izFqRTeObzJvds3+MHDp9y+f8Dbd/f4848e4yIcT5IfPzulPWyZzTpm8yNenZ0xuYH1eLHLtsOrzTlBwWy2xxsP3uCzpx8zbH29HEtZM/gCYsoYSp0i2QYpFDkmWtUw+S1KZKTUHMyXHO0tOLte00mF1pKuaUlUAojViqJlLf0qQ2P3UI1FKoUqgsIMI0aMaHBFE3NkWk8o1WJ0S9GKOA4IVZj8mrnuSCnWkrYxyHaGjAVjZ9y6/YDV5QVGKXLxtV8StjgMOo80DXzuzTe49/otvv/hMy7OG1xyRB+IU8+smTFs+3pYbCwpOaYUyFJh2w4pBNJoxqlnHDZIWVfb0TtEKgTgarXC2D3aBvrpHO8LKrUcLo+4cXSDxy8/I04bfMgo3SBzJOXI2eoYJUAjsctDRM4k79iOWw66jlAStkiGnJhKwGiFxLK+uEZJcGEAqZA5M+sst2/doZl1PHn8mIXWROfwSqKUraVJqXDJkS9eMJ/NGN2W680lUibiGDl87TbN3pxPH39GSRPbzRZtNrz73hf49NOfkJ0n5ATCIoQgEzGmQUmJKwUhEjkKjm7v8Uvv3cHnRHp0ipDVTZKpXzRTFCU4RNFQBE1jd9uOWozvmgX377zJFJ4wbreEkFHkeqDQBtNU0VwMuUpqhAR2E/aSKVmwv3+z5rqHLc5XLGFNKMMUKhK3Hz2bvme+d8D+bM5JOqHTHT4NyCKRWfL0+Cmj79lOjpwDc61olMHFQtO2jKPDzhpC8BipuB5qPyhRY3Y5K1Z9j5EaqTsuR8d4fYpG1qgDkhgiujGklLlxcMQwTRhrGMpUf5dk5fErVfsWQgiGfouQO9xgIwih9olkrvc5pQpucqRUKDu7bSQzBvjobM1Jn5EYroeIMJreTbiYsEoTSuWhj4NHSEljF8xVQ9+vCCT2Zgco2/Ds0XOKEKAUwTustQRXaFuDFDX+USO2gaIFIVTk5Hq4xuIIoYoUc/YU2yGTYLGY8/qd+/wsPqafBrILnByfVKeJixSjaZoOHxzkSsOZYqRtFF//6i/yxjtv8MGHP+D3fvwzmlxY9QMZkDqwHXtiSdyfzfjcm5/j4atTbt6+zcOHj/ja51/jvF/zycNjTCnkWM92Qimy0TjvEaUwl4JiGj7/zgMePTpBS4kLDjclCqVO4UWhjCMlSfabllCgmx3gS6A1mb/yN/8KJ8fH/N4f/CEi197BNFUfSRGG4B1FC7TW/PrX3uF0LbleZ7abc7JbVaBFiHRNRxgqjtKnUO3IuoUSGf2E7jQyJH70s49w3iMN2KZhHD0iJYQs+JzIABn8sKHP5/hxwBhbhVulwhyqVbmeeYsC4cVf6JD+l3aID7Fm3ZTcYRytQpUCxdHuaYbek7Ik+Igykkzi/oM7HO3t8+EnH3N6+pSioSmaEhNCGNquln76yWNEoqTMtbtAK4skUZLmN3793+VPv/O7bKeED55UIkZ2lWziB3KRSDLaGEg/X5FVAYOg3kzH4aJOvpVGqDqNDi5itECbGssJEcapJ+WE0gnvHcZIOqPxTpNEAwT0jiBQYoFY2ayTq6tvIzXKaoSVrNcbOt0iZCHLwORSXZWLahU1QiAUCCVIPqNUpW6kWCqOL0WEbYj9yHocqDZkw+AC4+qK3/zn/wwRIuv+ihxSRSQqWbmtJeFDIqQtaXCMO/NqTHXSL63CpczNwzuswwbhCzcODrnur8guMJXC/qxFKsEmDciiMBr+zq/d57f/9DmvzgNNZ+u0Q3iMagnJVWKGuM2nzwN//2++xf/uv/wYrxQxTQgS1miUrOvfDDTW4KNgNl9w584Djl88QsqMnzwhFaRL7C9ajo9f8k9PXhDigDKaX/r6N1ksNb/zx99ForheRwqKwY2MsdSM4+5wgEh0tqnEDGuZRlfX5jGSItVIG6jdiqJJIlNEod+uMQZKlBgFWdZpcmPmNKrBlYRSjpgLZdcFUQiMNUipmdkDpBIc9y9o5vsYFNY0bPwlUgSkAokhToV5N6urvJixbcP2aoUxpZJOcgAJ1liQBhM9oqt5YhMEnenolKWxluvNQHSB6CIyS5S1JKrE7NadI54+ESQfSVkhS8CqllygTyOYygw+v66saoRijAFPRcDpXUxA2VoA9lFweHTA8bPPkFBxdVpjUz3ArldXlYiBpLEt77z9Oq9enrEaz9HWEAWoLPC5GghbW0tAsQRms6YekMOOsW3n+OTpOktM1Sipk65xtjyhhKp86N1l0qrKUdZtS86R4/NLXl1e0TvHTz51PHt1wWqbyMLw2aMTshR0yxlGN8RUzZlSSrp2AalONy+vXiJTYZg8T5wn7fKxqjP40aF07dYgFSFHIoHl/DZGKs4uT5EFoKBFQxKJOGW++LX3CZ8+YZieIJTkb33lTR5frvjxszMyucbQWos0LY3UtO0ClEAIiVJ7qLClwzMSuIqJAyxWtmyzY9xuKTnhvaoEickjqeZgiGgl0KZhsVxiSMy6GWhDyXW13RmFktAKTSmJo/tv8sZrt3jybEOQc86PX5JLzeKaIuvWpDNVKiQyhqqDL2UnoikWEXqUNsRYkYidViz2Z6yHLVs3cLC3h9YGH7agAkpkLoczrrYXmBIRBnSAmdX0opJSVKp0MqE0mYLMASETfQqcbAPH0658JjU3ZnPmjWU7TmyZgMhStUw5UISh5Eh2gawtX3r3TX72+Dkx16gLWeBTxReOw4TTEyWukRiEkiTvidbx5PljlNHk7DGNIUwj64tj2vYut/b2kErx4vgMoxtCHklSEzOMY4+2bX0flMCzy57/zT/9MSdDjxMJNwTqCjEza/YQWrLarHjt9bc4O73YHeYS1jb45Nm6kVcXlzsnRqFViqIEKWbIgRhD1dDHvIv3VTKcj1XaJqRmmuowBwEGUMqghGF0UyXtxHr2TxTGbc/+ch+pLJJKUBMKjvtTXl2dkkpClECjDfOD19m7ccD5i09RRrDUC4btgEh1qxlSqvnvInExkJPEh0w3n1UQRhKkIPHZg6ibNykNLgZareiHoQ4okBjb1IOxD9w7uMnl+pLWSoYp1qFMgVAyxVMvR0ZUcJBp8InKRFeaxkpyKpSioMms1iPKzrlztCSPa0bXo/1IyXVyX7Lg8OgW29UlCfBuQgtBKJm2XfCVL32Db37pfb79w+/zsjwjplBz4dJiFhbnNkzJUVJA6QYlK8VMAlZXso8fRozSJDKmMZiicUT6reNZesU4OYxSaCvw44RVtewc3IRqBaaTTFvPwd4+na3koq9+/Uv82i//Kjf29/jNf/xfcXy94uDoiOgniss8uTqhLYL3bi55fS/ywcOB01fHRO95erzmeHVcHSy6JcYtokRUUggMjTTEkHAolPAom4klkEQl72lliSXSqpYsCpvoEElRvMAD206gjeHZi5/Q6WtW65EsK7J47B1FGnLwVWYZHTIrukZy//ZNsgXbKvrxghQroGExm9UzVdy5dPSuZ2DKboikaBL4AuN2S1I18nl9db3DSpYdbtrQmQ5c4eBgBpuJ5BSiJLrO4kMg+UIRBZfcrkuW/7J6rX/xQ3zbNRzOl5RcWG3XxFJwMXHvzi3ee/c1fvrRUzYXa5SBIhJCCBrbcHh0QNPNKOOIlRYRqxijo/C3v/wOL1Zb/sWPPyOWhBCQs6CbWfzkuVqd8+jpR9TfsEQWgqO9PUIqCNGS4kSRlZaAgNmiQSPxg6uq31QP2wsjCVkx5sRme0FOiUiBUEgkrKklkvfvvM6P3cBlvyX6hC4KFwNCKUQJRCJKNhSRcMFVAU1yWCuQKqObRZ12jQ6NJCSQsT4ghK4XCG01wmWkqQUJkSN7B3sstCaQudhOlGngajtRSl23aGXqSz2XXelVsb46p2ks79x6wPHFKcOO+WtS5HDR8ZU3X2czRbb9BSUWunmL6w3WCHyc6kPaj5AyGvAhIIqi09V1tN32LPb3MLphypm5gLdfW/LP/uhF3Sh4h/IF3TQ1J140919/C50Hztctf+1rLYuFZryuhrxxiLx95x6tVTw+P4ZcGcStMeSUmPqBRkm6xZyz6YrWKEKaWG0LOUHbKSaXkFHwwYc/QS/mTCGSp6n+nEsm5YhIE0VErO4QpU5cYi4I1dSXVE5o6tpY7Q5ETdsybn1F5+U6edJKkE1H0zX4cahITAQxeZq2QyfFNG0RAoyp6vOsxI6wILHzJcJlQHPjxhEmFa4utyBqjGCYAk03p+SAQxHLSNO2lfYgJ6bJV561qpumnBJRRpJUWKGJk+Ngf5++39KPPb/5u98DaRmixmUq/SdnVMlsXM8ff/sHpBAQ0lJyoFnO6K+3KN2wN5shVGacKj5tOVtw7+h1nh5/xuQGpKpTQClrrwQlOD1/VV9MWpIBozu0khy0hl/5hdf50cPnnFxWSVkSqZbWjWQaJm4eHKKs4uzkrFIxcuLBvVt8+Utf4rs//BAhLDm+IhSHNBofI4tuTnQTUiaKSqhcUELzlXe/yHzW8KNHj3hw+CaJwKNnP4WceXDjdYboWV0+oyTJTCn85LjKVbyG0jSNrZ6Kq+vKUXAbUqz/HhklmYCSEHzAmgZpFFfDCi3rpqB4hZR2x6qWCGIlpwiBG7asJkcqtQyrhEAZiQqwLZEPn71iuXcfuzpGisyfPnrGtfNMMaOals60tM0MaRREg9KG/aM9shBEl9F2xmHpEHJgmALCzNmfLxFDj5SS9dVV9SsEyFKgtOaoO2LdbzG0zLsZi0VLHAOtnaG6fYTWtNoQKMyFZ1Zaep359PSKx6dXrDe1QChLQZeGaEONfaWGkl39rjhFiQGfR9JcMY2JQ3tA1+0xyy3jtMEh0VlU2kYRLPZvE0fHyp+jkHRmjyluCNOEyjVaON9f8Pa9u3zy4hEUiRCVENY0LWNI9KuzqqI39WBNFphSSCXXw2bOxGJoFzOmfPovY4hdjlxdbhld5PjyBLXWHCznaK2Rjaa4iM+ZEnb0CmXqpNaayqoOsUpulreR0jBsL2mkobUtQ5kIyvHq5DmNhM7MaHSDKNDM9+tz19XDaBaZuslVXPS1rK6srfGZrmE5P2S7vWCxWOCnkT5OPH35DJkCN49uECL0U4ZQXQVX61OSDxQiviiyj/VFWXmQ1cQcEigBRaKbKlsqSmGVRKaxytNE2aFZLa2xhFAjCCi5e29LtJGcnb8ihEAfIkppDmZzFp3gKm6xZkYJAlRhGE54/903+dX3/zb/9F/8FlMeuXWw5Atvv8t3PvgRwzBV9KVMNLLawhGFOI07uplDC1kn1exKhiXuivwZZSV5qt4GqQQxgbbLSr0qkaEXZCROBAyGmGq/TJEIsWCEYjnXtPOOc+eJKeN9TQ4sFvtcb8/pFh0xTbQziZCC4iPJKLIIFF2lRavNVc3jUzsKLjqMMRij+fzb7/D257/EZ4+f0GiBcxCjwJi6Ic6p0EhFof79wSeklNVy2yo2Y4RYh0FxF9dMNiGtYdgMiJKYW0uSibarUqOgBNE7FAKVLFopkir0w5aSAlJKXrx4xcOnT7i+Xu8u2xIZJaloztc9e4sZr+0d8NHxmm8/Oad3E0YAuuPZ+Uu8D3TtDCshUtGoMSVuNA2pwHUKNbWW4KMPnzKNhaIzQjW74GGhEOs2KGXaZl67JESur0+Y25ZC5Hs/+YgQPUZ1dKYhtx3bcajAhVJpaQlwIfG7f/YEmoar0xc1Bknmr3zhC1xcjXxy+pi4w5rfWOzhwkTvexZyxnKxz7JteHR6iaKQvMPIWrRPReBydYjIDJ2VbPyWF8evCNlTiqByVuqfv0iotOb6HZSyUoxy4l/7f3/hQ/w0TajlTYw1XK5WKJHxKXJ+fsbVxRXOexCZ127eZJwmLvqBH338Uz769GNUsZAzVkWGWIgloazgDz96RkwajcY2LYPzGCnxU/3/inLiyYuP0bIhlsjM2soDjtAYidEWHyryURuLUS3b7TWdVihrcJMEmTm/3vLg/l2Wc8Px8YoigVILZLlkYimQ4NOLM/pdFlmJsuPngsmJqBNFKnKKNZesJEoVhFJMfqLVlhBGYoEYI1IKOiVwrjLOlSw0FOZtw2WZcOOIIPP6rSO+/u4DvvalN3i1HvmtP/qAi4vE6DJFJZIPlSecJWPyzHTFXoWUkFHhx1hfLrJaJJVuOJgv6EzPo4srDm7cJeM4fXUOFIge3TS0RvONr7/P6dkFJ69ecLW5RKgWFx1JFJSWkGopqhSBFAFrJRsX0KYlecfR0SFf/cq3+JM/+xP6caQfrhlD4nf/9Af80vtfqdM/IQjO0bUNMRe240QKCSMlk/foUpg1HVfXJ4QwcT1skcIQYqqmOZEQqSDVAV9+/3O8ePoxi3k1xLp+Yt40hOwgKYSyOy60hVwvaCkEtG4RUpBLYDazODcidyZbrSprHwMRj7YNSWlUSaQU0UbRzWZ4H9FAVJByjxAtCOoBK0H2Ge9CzXoKeH78sE64jOPq/BVWt6QygXD4Uks3ud/StTNkkYikyUiyClilKdlU1m2uE2NpBc47itDEsSBRrN0WSiK4yMcPP+PW3Xts+gGjIQjB5ANWCfzkIFcyUyoZYzVH+3uEyZGFYByrRKlIgSqCmCMnV8e0rSWnkdF5ZtbwV774Oo+ennPc95VisDsYBp84OLhNP1xxul5zvXWsNpFUIn4oJJF59PgF0mqUbXBDj42qWhIbS8ye9XbF0yfP8NMF16stiNobiSkiciQVVb+3tmO8fEnMiXnT8T/4G99kftDy/P9+yrtvf4HBDVxfnjJMW05OX6G77l9GdcYcmHWGX/n8EY9Otry63OJ9rlnZUg2myjRkIcklUEwmO5jPZhzdfoPnLx7StIY4OkKueDopC3vNjM+//RV+/PGf199BKdG6IaZCkSCKrIjM3SbNSMvdm3e5vDjG+ecYoxnCxLP1WD0KswUuJlJJZJmRWOb7exwd7CFk/dxmjWYvOUyZuKalU3PyGNiMA/iIDxURmkVmf7mH67e4lMhG0OwtyTmxGXuKycztAqMtuu3o2mXNjyrDLG5ZiAFrCyI6pr6n6SzDuEA2AqtGxnUmK4FsR/qNo1D57lmBKgkVwBXBZjjl5v5N3n/3y3z/h98h+ciYPCYZFJp+3KCEwpqOEkdiGhBIOikIZCQK3wee+FfIJBEZXBpIAhSJue7wucZCtqNDSF3NsojK3t8hY4ftSwiSlMF2HYUFq/4MbSraD1FwPtGPASkKKVbhlgKKVtV8qST3Du5haDkrZwy5R+jE0F+D0HUy10min6BUw62Vms244Xo7oJVm1s7pmoZp7Fnud7R0HK97Ojtjtn/EZnWOLFXuc706QynNr71/l9Dv8ds/+RShLbZtmDWgs+Tq+pKYfJ2sC1UnyFJgu2UVDpWAVYavPbjNp9crTlZbZKjiOWtqvKmERNdYhLTokqunZWeKnsRESI4YJkrOLOZzfBQI7yi6MIaBxswx1lJSzdFnN/LV1x7wQ6FINGQ14nxAUjhoO+bzOco2+KsrBhzJaeLOu9CaBUk4jOmQpcfFqZpYtcLFTMwRo5v6LtHU3geRohUpJoIArRrm8yP6q3P0rDAVg8yGLFOVV1EqgUsbpBa0SjINHmUN8/059w9vcnVxiS9gRKZkz/XVCcoaSixEPA8/+wwXSvXGxEg3mzP5iFWCJEu9MKVE2dllbTcnlcKf/ehPefj0EUN/ze2bt+inAWM63nrjczx+9BERj5IGUSRKdzTtDOc2/Pqbt3nrcMH/5XsfoUxH184xqScFh48OESOaTIgeUGhbC7TKCLbra5QW3Lqxz2xxwKuzq5pFT5kxQep7vvvdH/CTj37KdnNNh+So02y2A1GC8zUu+fDkgiwLGk0RdTNaUYLsKDO6RtTiWAdw7T45aabpCkyNOWopSLFOp0spVK6IwypBptSUR6qDPoRAFBC7zkfKAS0rxCQ4R9vNOVrcw42PgEzTaaLf4Wlj4vTyDCkFSgR0qdCCy7UnK4m2lpgmlBJc9QO51C3sJjmmTeBy2GKMwYcJKSCm+hm01vBrX/8yDz97wavzFW/eOORVKrxaDSChbTR+SshcBVdZ5mp4DzUGKIT+ywDT/Ksd4iWCl2cvUEYjNbx99w6fvbrExUiIlVThS8Aoy1Z4utkSN24IOZFLQFlNyaXm01Ji8omXZ1v2Dw6ZdS33797l06dPa6s4B6LzRBTZJ7TJ5CxwMSFzQhRBO9snhp4oFDNj8SUyjR4EjDljnOSrn3+P823Pdrvi/PRsp6FuMNYS+w12NqtfJu/IGVabCWUacJlmvlsFZ4ghkHyuSEqV6J1jNutwk0fuyBpFSvZaSXGeveU+3d6Sl+dn+FwFOI3Q3L29z//wN36B3/nhI77zwWc0QhFS4a23bvI3v/UGL68ijx+fcn1+gbaVG1/50LK2wZXkYHHAVb9GGoMUmefrC4wsNK1G+ESKiefnAy83H+Nj4q23vohW+5y+eoVEY23FcdpGcrRccnl9yXZ09aC+k9SoIrBGMbotRihEybgSWG0nbhwYXp6NAAz9yKNHn1GUwMpEv7oECq/dalmNjimAKIVuPqeQeX52TCJi2hnIhMyKgmLdbxAC9udztLVcnF0RUsUbhljQUjNNA0+fP6XfbLnaBiQCmQsxSZaLfdabFdlHlgc3uH3rNg8//RilJffu3sJNgZIE/dQTp5o7jFSeu89uV6A2FSmZCrqASpKoc/1cKDRW46bErfu3mMYNMUARmSw0KXiKlBi5E1eERIq+KtsV2FxwfsCXgrEdOWRu7N0k50AzP2S+d5sXTz6A7Ok0dHaG1org1nSmYzPWYpTVmiI09awia+ZPzLBtvVC/On4GPpCNoDW1yKNtweYqSjJKonIhpcKrVxeElGiErOvzrGi1wlhVIwQxIRpFihpN4XC/49/+5bf4byk8mGbcO5jx3/z4BdvBoxD0/bYWk7Tkn3/3k+pACBEhC9Y2tF1hf2Y5uRzYuJFlM6faQluODg7Y9Bd88vxjgks0bUOIBZEzCtg/vM04Otp5x3p9trNWGopI/NGPPmA7bLi8OuUP//y3+Btf/zf40tvv88NHP8QNW7KbsLYjpUARsL+/z9/52hv84U9f8fyqRwmNC2PNysqqu9+fGSafMHbGcu8+2/GYi4tTUvAMrhZzE4WmsaRQi/qfPPkQqTW6KGJ0iJzqpD4nWqMRGpyA+WxOyh7VSUyx9CkyMwVVgGLREbQ16FmLJGGU4OBQ07YtppvRqCPswjBTkaVzTGXiIDs6E+nlyHajqyhL6WohzIn1qsfIBo1HjA4rDUomurZFYmjbJcuDFtHNudHexZoZ1mgWaY0sK7CZMoyU2LDpA9IOCCEIm6GK1MYtbgSEogiBi32lHOXEcjYj7boXV+tz/vh7ZwyTh1jIEha6wyeP8yNWG4RoMcoQfSSpgm000gcStQswuYEoEtJIwPD+W1/DDee8OntJTgplBLLR2KKYUoJQWDaGG/sLHp6cVfLPDtVIcqy3F8gSefu1Oyytwk2Gl5dXrIaB+fwArTKz+Yz10LNoWkRObH3gcrVGmxUlJWSqF7rFfMlif8nZxatKTjMaFSA4h20sykj2O8N2DOSSCNOEaRre2pvz33//df4ff/YRx0PkzXvv8chl+s0ZLl1jjITo+eFHT8kyM1vuI4JAK8ff/bX3eePOHv+Hf/p9ri8r4nh+cIMcYbs+JuIhZ5Ro8CmyCZ5UMl1r8bHmwcPoUCajkLhcD/WBGm3TAlSKJBfRUtbYkpK4pLAI/tpb9/nJqudku+Jgb852DEgZqyxQST46vmIMAVKkbSWvHXV0pfCTTz7ij374Z/gY6ZojptTzZx//Cf1U449jqYd2cubG3Qecnr0gR4/3ASE0RklEShghKbkglabEzBtvvsPV5RWXmzNi8fTbM4QojG7A6I6QE13XMTcdKXu08HX4oth9LwxFS549P+Hs7JqQdxIi21TGfwxouTtUSsU0BpRVhJhprUGEgogFaSWz+SEpJsY4wjCgdN08UeDJw8dcHQ5IJFPoEWrO3dvvsrraVKpYNghpSCRWbsOe7ZA5c7wddlEjjZCaezcPkGXGJ0+fk0rNXWN2EZPJU0JgjiXHyGzRMvWOrtnnrfuv8+L4jMbUqFEuDm0tJTrE6JlGh5SCf/9bb/J7P33JT0+3CKMIbiQUgUQTpCOWVEECwaGlpZTC5HqkgVQq2Y0yMaaK0bxxcMTFxQlRgrYNWgeim2hNHWKlnMkpESg750Zkvjwklcx2dUUQAiEqrWgVHLJpKDqzdiuKKiy6Q7TOhOwqH16XegBXCl8kWmlkEVz7xGp7zdBPiFzqEFQWoo9YpVAKfIg1BkigpIJQNa/vU8Inz0cPn+OcJxL56PkJKSUKibmZoYSGxjH6EVUUWYBpDMhQhaZakP+S6DR/4UN8LomuWzBNjnt3bvH89AIrZV0DmtqqDjHx8OVLGmsQUqGFYvQBRNXb9lnQaElrLWPwODwb1zNNI/HsJaFMQEfwE0KIWrRqainRGI0ohcVyj5QV275HlKnyS01mOTvi7q37vLh4wvW657W773BrPuPTF58yOY8PqUZe2gZBLTDEWAuCQipGkSBIlEo0VlYpSaxN57o6k5AdUVQMk9aGaBKyKKwV5CA5EIb/8V99l1dbx29/ds7WhXqrlBKlGy77wD/7ziccX2wosaDaDoSi7xMfPl5xfLnm5ckVURnIAUtLaWr5UTeG20e3ube4w/DkU5KC1eaaptU4lxC5IaRAo8DoWlLd7xpePP0ZzkekEnRmwZ2je7w8f8jQB/7F73+b7bSBrOl0SygJIRt0BhcCRdTWNTmyf+OAH3y84de/dZ9Pnz0mxAJF8+rkCfvLfZI6QKoZLvb89V+8zfd+el5jFlYz+lgFKVrTaUvKApEFujF0Tcd27Fm2C+4c3iPlRG+3TC7hQ0C3c0Qp5OwZVqekIujafWIaaZs57WIfCCgXoExMfc+ZOGXezfDJsRkmSqo9AWEVTWoxoh7AhawmVqkUIaQajyKjVdmhHwNZSPrJkUvFVq2uN+TsuXXzBl2rGMeJcQYmS1IO7C8WhFjwvjbQVZZI2RCKx4iCGx1d06KVZvKOYdjSD0NVOasZU4r40Vd5RNsy5frzlLIjCbVTrTuUligR2VvcZLO+rJr3BBmJSIUJRy4Z3wtu3biDV4GYpsqJLju+rVQkKdBGk1JmKIm5ULx++xZPTs/wYWLedgSf8d7yex+dcRUi33hwg1947YA/enjJ5DKxJLabKzqraslcVsrKcr7gelgzBM/No3vcunGb86trtJR4XwO1/XaF6ErN6guB0AZpWtJ0jRYV5bi6vkLrGSUXhKifs2bGunf8wfd+gMmSmCNJXPHdD77LdhxBZZQwuFywqiCpU9rjyyv+9//sQ8aQqmgle4rMpBgQWiGLZDMOlABGSpqDlpOLddVzioRtGiSyFuqVRCZPio4x+yqykQrbdcRYcYzZZW52LesQ2A6OPG6QSjD2Ww7358Q44YaJVmuijIjUkDM0bT24a6XBtrSdZLlU7DcLDvZmzLvCMk5c5wE9jVytEmNpMGmglIBqloTtQHIOZWd02iJT4bX9BiUEx31BG4GaWV578+vcPjjgYnjOfE9zMLvJsrEsRcuULcltiXRsph4Vexq1pZxByPsUP2CVhC5hSQyjp7EdambJfuTOrVucXJ6hsuB6c1WJNHFHrlCZyW3qpC3lOolrNG+9+3Ue/uwDmpx55/Y+1+s1L9cbVKsr/SkrYshoDSdXl2zHDZP35AxzLbFCMwaPkoIiElfDltVYD3ElZ0KuF08pFG03Y70Zefz8HMi8df8uSkhCSazXl0iliaEKX0IMxJRorCbmkcnVrQNZIFWhNZFfenuf5/PCdz9+irAGqS3JC2TbMOs9v/7Vt/ndH/+Mvu+ZcsELeJIi5mtv8e//1V/k//zb3+XhZz9iiq4eaBS89+DzXF9dcLHZIiUcPniL85MTpujJqTCfab7w+j2O9cjDk1NUiAzDNT4FVIS2adCm/nc8vV4xTJGYEnbW4VJCZEEGUk6V3Z+Hqp0H0KJ+tzWIHQI6FPDTQFKK7794xSomkIaLiyukUrWXFjJTDDwPvsY5mxbvMr/21n3+zntv8L/+g4e86DcIFCIN1YkREjkXhqmHAs1shsmB6eqS6GMVp8mCKBVeEcuOQCWg5FyLr6VuWGWuZBEjG6KMNT/vJ5D1zxliYDPuYpMxUZpCSooQAwf7N4A1MYS6xZESisC5WIeMztWIk25QWhBjotFQSqWLiZKYXGSaTiq0oGnqM1YUIpFOdQgEY3TEMTFNl2AkL198hJCFpEqNuuTqkmGaGDdQfOZUGT57dYZPEykIPnv2HKNBFoULgaap8Y1Ga0RTf67Ob4nO080aTKs52Vxy+eHE5Bym1QgD0Tu6zvBL3/wi7799n3/8u3/GxcWG/+8PnnGx3pJyrJvrImhmO+65VMgoaUxDopbac6zwk5wLGsgEmrZhfTkhtWB9UTtIJQSQeWf9NXhfI1o+OxrTMF/ss9n2GKkYh2umXNghgshCsPYDQhpKyrhxAlFLraMbSFPgy29/jfOz59gy8NxVyWaMDm1muDRwfPqUhABZ0KphzIlZYyrdaOoRwtSDeCmVfCiqiE0VycFyj1gKx8enSFvxrUnWn5dRDQdHrzFFx3D9HG2qbVqVQskVhCG1rVAYGUj/XcZp0A3SWGRMnF+tgBo5iFnSzSumq7Eai6igaaq2XAhB23WwK9jJVOpUUAoOD+6znM958fIZw+AgS3IuiCJ3qKjEzXt3uH37DX72yQ8IziOkopstSEkgiq5FWasQbcvdu3v84ld+hX/0W3/A2dUrzi6OcdFRZKGbVcGCn0ZKSvXWmDyrbUAjkKoWb0BUtBPVyOnHequt5BdNRNFow539A9ajI7rEFLaoHNmfdXzznbv8+bNXrMcNbTfnen1Nkoow9HSp43sfPsMYA0Iyhom4zvzOn37IB0+OGVdbHr+4JMnCOEXmNpFTAmVRuXBy/JJNMxAYISm6VuFjoigBVAHMQbfPxke2Y8VpuhQJOWClRijB8eUJKUuQha7r+MbX3uU7P3rEwX7L9XZku+krno9dWRBVU5RR8e0fXfM//0/e4xvvnfLtj7a4OGJFrpSDXPjie1/mtTsT739O8v/5Pz7l6PAGm+EaPEgNwzgRi4EQKDKjlGLdezIK7xPPX53gCeiU6wNMGKIbmS+WeJcpMiBLQ9M1lKFGYmLYsnf4gH5wBDdBzgxDz1fe+xqPnz9l21+hcsDnynK3rWZ0kVgqrq5rjnjj9c/x5OlPiVNCGEPMNRbT6gbnJlJF2iB14ebRXXzaInJi33QUHyqer3cMThBDNbEpJK1tUboj+OoGKLmWsGyr2Ds4YjMOZDehyFhpmc33CNtLrNaVnd8YRifwZST6SCDSLubcf/09VlfP6FdXnPtzSg4gEgWF0RppC9EVQsi0VmNkx5tf+iY/++R73Dy8wenpc+JOua4VOFeQSKKPiEbz4LX7rFzgerWmH7bEUrh/43N8+yevmFzPyxdX/M73H3O2HSnS1Km9gTE4jNJQNIvlPr/0lW/wh9/5PbLMrPoNY/S8++AOGx94fnpSDbGysNqusKahAW50M9au0HX7TMO6RrvEgB83hGzRcsaNW69zeX0FCaxuQVb0HULy7PIVVluW7R5dUmQ3IKVAalH/Hil4cb1FdAvmiwXDOGEVHO51TFuBD4rRXyFyoR8vaVa1GJljQcQqULp/+y2MNpxeVwb9Ym+PTb+maWe0ql7UplSwMws5cjF6JueRpUaEEoXzq0tETvjtSBASEQLaCGxn0brFjlsWckaz7NC6pV10HBxq7h8p7h7e5GhmmOeeZ+EKfTZnSoFZWNcs8FbRCI1t20rrSiMlehpr+NKtA/Y0/MkLRxGGxswpw8DGDMz3FXduSe7c6Li3uMW+2uMydKjLLaMIdHHFvFf0OLLdsr+3xsWEmyJ+Re0C/PyVEgN//euf5523bvOPfr9n00saU8lN1gjabsmdg5aDVvD9x8fMtKomw5x59NlHDG6FwiDSjJuHS443ntn+bdzFBeAgBUqMbK+fI2TFeSpj0Ab8UGOZksKUqZZTUcumOQv2ZzcYp8qVt02H2MLgJ4yQ/OzJU3IxtI0lF8GN27cheC6vzgmx0LUd89mMxhyx3V6z2p7TWEPInvfuH/Ebv/Aa/+IHgR89KmxcLR42jaXvz9Fo/uTHj/FB8ODBGxy/eFqFOUHwo+cbDheeIfaoVOVSRmZQpmLxtGESmeIT/aNPkEJQZOH/9Xsf8Dsf3EZnw9D3IALb/pR+cjV7nCVFat5/411udTP+2x//ya6UJ8kpYZRGaoH3jpJTjRPGqraMpR4ic5RooZFG4FM9pBVlkbJwWerGROCqFwZwSEpJRJNQVFpOSJGYBD+6nvjW3hHvfinx4R9eMsXaq0EKrLIUEYA60T3av8FcKj47folSmlASSilSgs5aXr+95Pi6x2dPLmCF5fjsJV035878Aaura/a6Pa7WF5A1TdsR8ohVhXFag2QnEpKEyaE1SCFYbzdkErPFDO8dzk+YIirXvNThg1QV4VoHTFTRnikoOatEsUbhw0QpipzqpXwaA52dcbh/iHeeWAx6MYMyEqbNDtdYhw1aQ4z192XW1IhfVJ6r0yt0ZxEyYEuEGEn65+XWhiJ2uWuRiTHuOPmZWTcnpoD3nrbTTGVbEbix9raELPX8FRPnl1cM12t8TFx7R4wCaxUp13KtD7sBmAShNArIAvptX2WIthbrSoyQM+N2AiQiSsZQI5za1AN/ygndSlSqcI795SF7ewe8de9dfvrZj9ifV0fMJ0+eMGs7er9GZAV6jkyuWmqlwrYSHyMleNCCz559THYBoQuJQvKBw3bJwcGCy63GiiWbaUOIjmxE7VIGj9lJR3OK9c+mZKVr5YQULQ9uz3jjziHfe/iMWDIqKI6OHtAPG7zcstfMuFy9YLGc14j1bnjoRsfMqooOVlV29ZdBpoF/FWOrLKxXV8zmHbooxmkg5IjUluBr9kloxde/9U0+e/QZZ5dnsFvNtW3HMG1pVJ3cq6C5HgdiOKaMS/69X/wqP378lJ+dnmCtRMiaLzMqMUsj18ePIUaO9o8Yx4Gmkdy6c5fN5SWrzRU5SIos/OSTDzk/ucGYItPQM2v0jiJR2dZCGLQWdIt9hm1fM5dWYnemSh8dEoUqGS88MQiUtERfXy5DceztH9FvNzx7vuHw5i1iHFHZYJvMs17wv/jHP2AzDkwjbNwGITWZRNsaYpooJFwoGK2xEnzMvDxfc7WJBN/jU6DkjkU359/5+rd4cX7Bnz38aY04aIUPA8uDPa4uLrAKrMgctS1TMUy5sHFbhNY0WpBrm6sKe0pmkhumCnWl0ZLNZsPz41MkE5cXAzGClRlHRstc9cepIERhGEceXg38Z//wJ/zP/uMvc2f/Ob/9nRMmD9vRcWOh+errJ/zaL9/mP/0//YCTTcEaj5vqlDMmUDnTNQovCsIoiFXqQC5kMlpMhMmRisB2TS3JmI657XCbLVZrxhAY3IYQJmJMlFFj9EByQ42g+MCssTx79pjGtqTZHuNwgc6qTgxSLXceNB192tB0DW+99Q7HZ88hOXzYkkpAykJ2GqUVSlZklXeR84tj9pZ7TApOrs7ROXG4vM3aDxSpCSmTc81E5hSY6YbGCkBTimDe7eGHnnN3BkXTmox3DkfEb84r1mz0oDN+M1CixmjLwdIwZMnB/bf5O3//H/CHv/1f8MGP/zkpe3IOaGkwneVg7yYnp0/RyjAzLVlGzq9eEf3EsuvY27/N6elZXdED0fk62dpdMJyb+KM/+y4RyazrKCmQc+KzJw8rC18WTp1DN5Vso1tDKzRj9mQpQGeKj2yHFX/+w+8yhohMkVCu+Nwb9/nmF9/n+w+f0lxeEXMmhLq2TTJhpeXO0QPG85eMq22d9CAgRwTstPEDZSiQR6TMUDIu5epfkFW0lvCs+8tqQi2RFEUtajaWO7cecHJ2TEqBvb2bLGa3OTl7zOXVlhgLWjZ01iKEZPCeq2GL1QqjMt5IpOkodoZLkSwyWmX2mxnD0DOtLsldhykBWyQ6S1S7h5IVMTb5iaaZV7Th6NgOEy5GpNZIW9XiMQSsmDAYmqjZy4WbAvaF5rYx3L0h+fybezy4cZeGwPLiFYE119OafnSEZo5vR+IUCDmSZICg8LFAEfzBwwvmVuLVnEWQNFFxWALd6LmxvMGdmeSNe5bX795hphQH60O25YzzzTlbkZianmg1UbVsh2rCTlMVKs3bGWu/JglVccIys9cIWhU4cyMle1RjcS6zKB5VDLdvHPFWNDx/cYrWom5pp1XFCQMfnZyxN1siZeb67JQiA41RREz9d+SEtgKDRRbB/4+3P4u1LMvvM7FvjXvvM90xbowZOdaQVcUiq4qjSLYksieoW2oBst22ZQsw3JBf/eLHfrUBwy9+sGG7gRZsP7TUsqVuDZTYEFUUKZLFGlhDZlZOERkZ4x3PPfdMe1ijH9ah/OamAULxlkAiIzLuOXuv9f//ft+XpWI6HTNfXjKdjBFDiVFFMkIaNBEpDdqM6PyKq8vn5JQLelJYgvcIrfnFn/0lHr94Qr9eYk3BhEoyve8Ybjr2msjtwxNuHze8uDhHB8PHL+f8wx884cnLK7YuMhnvIQX02w1ZCSoLLkTGGpbLFaIaMRHw1Xe/yk9OL1hvTtn6hMqFruJyOTA/fvVZmTwTqKQiCoixyKhW0VENgex6ttsNLoZilc0C5SPRaCptOT1/RT/dQ6ZMYyR9SJBKeRAld5sRTdXUuM7R+4GsJCYKjCgxm4mp2W9mLNrL4unIErIkuJZMZtSUroFSBhfKe1dLjU+JlEpM5sOLLX947hiSBZGKUC6LEncRCq0rfM5UxjCqRyzmV6CL/bQ2NaF35OQ5riv+57/5Df7BH/yY919eFkBDPSWpzKYL3H9wAL5HETEjC0Mgq0K5CTHgfQClUaL8HQgpiTkSU0SEQnWpmxGQGfyAFmZXTEzEGJjUY6RSbLZrgLLRlJb96S3m0dP3W7Q2xJRx3petn5AEF9lsW7KWhNU5QWtyHhg3I2pTsRm2ECIxJ7SWiAg5C6KIKK2JPtH2K8gCJTUpJV6/9zaj2SEfP/opoVtR1xbXdQSRUTkRyeTgaYzBjkrfzIdAEgGRLIpUDM/e8cc//Ak5wqLdlqiY1tRa4IeIbqodXSUApTiuRC7l7lTUnyEnUufKpVoZbFPM1EJERE6MG0VAIq0ldAM6awiZ6aQhY9j6xLa9ZrV+iXM92xA5uPUGSmpWyxXJZMamRtsR3jmsMAQf6LrSjTRZQiol4pgzIha4hZSGo1uHqOAZQsBMDToXGIFMsTQkhMIPLZORJduK0HWklKhsRUgWlxKqNrzx4JgfffKMWmpcSsSsmTYzmkHQDh3JZoZ2g/eOJAq1TmRB8hFjC3Yy6aKh+7d6iDcCEILQDRwcHeK9L5zbVFTfyhqiy7x4dkbbtqVoEsrtcNO2IDLNaEpwHbcPD8jzS4bokMJzp2q4PnnI9SA4vTpjNJ5hrEbnjm/dGeGj4F8uIiMreP3OQ+zeITeLDWftBpEdIkHsFfPlgE4NVhq8DTgyxlgGFxE7HXQSCZETwlh816E1bEJHYyxojVaZ1+++xoOTY/7o/Z8SRem8GQHRJPp+Q6MttdX8+jd+lkfPnnJxvWG7XWJsxamLrDY9WmoQEiUSVu3yh7lM9YXKhJAZYlnhqyyIXUfGo5UiRJAh0/syRS/mzYRAkm3mZr5AKEmOnq/dPub2/pR/9eQVOTuc0wTXIaTA+Z4YE7Up7GY3UKycMgGwiS2fP/fgE0LBEDyVNGhlsDZjhKGVmeR7tCzIuE+eBv53/+X7/Gf/0Tv81d94yHLZkoXi+GCM1jP+zn/7MT99sqSuK/rQkknFZCrVTqIS0VLh+oiSmcPDe/jgcZuWZCISwcnBMQeTGR+9/Aw39Kx2FsAupjI96XvIEh8z1mrcsMI7D9JxcrCP1rDarrl3/AYXyzl9f01dC7xribL0C1z0BB9Yry743X/x3zDkUiRSsfwMvIsY1ZSfo0pIm1HaErJn6DtUXRNEwsiK2eQum1UhEQy+5CobVZWXSuzQWTPTI4RWaDthvV1jckdV7XKdWrHxa4y0pJDLd01qbt99jfn5KYMf2AhPdIblq2f8zj/5O7w6+wgfht0BV6KVYtQ09H4ol7h6j9nogPOrzwluYJXOCBvLen2NCx5smbwbJKauybFkB0dVTWMMr66vybkczoLLJAZ0VSEp3x/XbYsNEoGXEYMgZRiGCLnEZW78CiuL9VSRubrZ8s//+I+RyqCjpLF2tyEpMZa+b/nw5WelFNnU4Lb4LMhCUOuamR2z6G7wsi0viJ1EiVyYBioLEooQExW6FPOUpq7HjGdTXju6zZff/RLf//GPePrsU9rtDdPDN9jbP2KzukKpQEg9knLAsMaibJHDvHlnj9OrBcshoBC89cWv84MfXkDe8urylKRFsROmMuXUSrK6uaaqao4PDomyxefEcT3icG+PZ6+eg65oDDRVxfVNj0wwtQlVC1YtKCRaNGxEw7GoOWbE23rCW8eH3Lp3n0xikIoXl485N4lKCFSSGCHoNYgoyV3BOQqdCSKy0ZYo6rJ61mNU1Fz5zFF9yL48ZsYdjqv77I0P0AYOidyxC65S5iZ26Ngi+i0iDcSwIW9XKCkRyXG97bG6wZiaWgt+94fP+b0fPUXmXJweqazPGy1Zt45NF3l1vebe3Qf0w8CtmcUqaBEle1xPEDmybTuk8PiccL0nSr0zPAamo5px1fDVN494ebPks7M1LmfGkwYpwFhT2OqYgskLkSQXWF0zG43KSzdBYZNIrB3jYscnH3/Ior2hkorr9cBBPcY2mvPlCqMM227JsT7mN3/93+OPfvQnPPrwfU7nC66+vyVJUfwplCK5MhVSCLauQxlB6ANKOLRS3D66xWfPnuGzY9t3mCjofcBUGVM1tEMgG1n6XD7jUyQLsevMDGid2VyfkXbaeylrRtM7dJefg5KYekSScHZ9ytXyEnSRopEjKQuMNtSyFPSXfY90A5WxJR8cAiEJRnWN37Z0MTCsrxiSJ1MuUyntvnuqiBihIgUHCHIAJzMyF5SvbSxD5/mvf/f3mNSHZAwyRKDADQafaSYT8mpJGgZOz18RkqcSkugCIyXoo8caQZc8v/P+Ez47XRCi5HAyoUZytV6SM5x+tsbnhKprREjkPNA5V0y8WSFryTCUS0RGYJRGZAg2UgnDqB6zWC7JwTOZTFivO2KCpqlggBxK5EWZiuBKrHckJUO/IXhH3YwLKnfb0ncFAhCVQGRJ266JSBAOmTKj2uC6SKMjCUWbJW4YsEYhlSwHegEZg65Lrr02AmMUQtXcu3OX2o65bCpyc4f5ek62GnwZHgipiM4jphNC3xcfjamKmZ6EkqKgYaNn25YOX8wJEJxMD4lxy3pTjMlSKsgJQSreoJgx1mBrg++LjMyIMsHWytBttkgtSQK0LF2t8Wyf0/kFTVURfEdCsOwCikzK8ODh67z98HUevXjOfHPDfP0TfPQYpQgCUszU1rJeO5TUIBQqlYtI5wbGoykSxZv37nAxv2LrtwVTGgTr5ZqQI117QaMM2Y5IccAngQ8BbQ3T0QHeJ+ZpQCrFeG+f9XpDnTLr0PA7713QJoGZThDOsVq/4sHBCe8+/BK/99EH5d1Y1ahmhEwBmTLkSEgCLSwWRYq+YC3/HH79mY2tB3sHBO/JORStewIjMoiMqTXBZ3IoL00XIlpljCiZ78NZ4b5frbZAZFzVtDHR9S21GjEbWfYOTnD9wHxxRZSKX/rWL/Hy+SeI9Q1rH1n0A6/fe8hrrz1g0QWuzq64vHyJI6KVQCXB4HustTiKBCOEokmeNlM2nSPlYkFMIhQeblRoqcjCkULGmop6VBS9RgpW7cDB4QnrxQXHezWVhkcXC8g1FZpmpJGVZT6/xg8dh5M7fOUr7/Dxx+9zs22JgJKp4A9jZlyNdxOLmuvlqiDORvscHt7i1cXn/4amoigTyGo0xrcdIZUDNsC40TjnybbwbO/OxrRDYBP+VIecUSSSKA+nzvWFohISKEXMCR8CSoHUdTn4bbZYVTF4R+cHxpXib/zGz/PH73/G1Tqx7VuUKJO8lCNZRBpTMdKe2cRiq4qN9+yPb5Gj5qefP0IpARFcLHg3KRRJZEY7XFYKET2q+E/+yt8iDp7/9rf/LmpXGJqNR1RScbpcMwxbpCzFYSXKjUpJURrxQiJVZG9yiNSWbnvN17/8LpeXr3jy4oooBDIlaqEIKpCSIO5KoSEHVNKgC04tJYfWFZqMD4KQYTI6JCvYrku2UUmL2Jk3I4CJWC8RShECeBJGysKed5GTw0Nu1i0P79zh5979Ms+vr3j09HOOphWShkcvntF1G7JUIBMyS4yQ3D2aEryknp1wevaK9WaBrg1aSVIUJQc7aehjj98MWKXIwqCNoXUdIgmkgKOje0gD88tTUkj4BErkUjRXFZVSSCOpx2POLy6RWZRogi3TEaMrUvZs+h4hCtp0XB/Qhy2awGY7IJQBkxH9gNCKTJFfpehKDtRHEEVSNqobYho42p/y8vKanIq5r5nMmNRTltsbvA+8cfch3/r5X+W3vv2PaDeLYruTmhgkWgtk9ghRoa0kyEwcMuNxzVff/RKPP3nC2dUZx7fv4PuOtu8RUXLvtddotx2gcJsls1Hgr3zjHf5ff/gZ68GTcvEDON/TGLMbTkiUhKoeE7MHEtklpKrYO3ydq9ULYndDTJmjw2O224Gfe3CPl9cLztolBLhztM9N27LpHE1VlcgTICvDeHyb9uaUgcBRozieTXhytaYjUdt99mdTZpN9ZrND3rz/kLtHY7781jHf/OoXuP/aQ6JSzF894bP3fsijR6d8/mrFk/M516sV666n6zs2rseaGdWowrmOyk6QYoSQkuOTE3pfM5kdcbR/xJ07d3j94RFf+8ID3nhwgtaGm/Wc809/yItHzzh7Mefl5TVnNze0ruXV5Sk3/ZbsI+t2VdCfumKsEl3bE6NAa8lisyxseylRSpdVdRIkUfB4o7qhD+2O+lUXcpeuEXlACInNipgd2ZSZUw6JUdPQVJrZaMz+qOFv/ntv84NPX/I733uOUzVSRdbrLSZXDLFHaU2OiRCKzKr3iRgd3gesrdCiFILvHt7mdPGK5CVoaHTCaEnODchEING2PUpJKqu4d+seV4sFQ9vRhY7ReIzQmm65ZVTNytQ890zHhm6IDN6jcwahqK1m0ljmyxUpQ84KnTMpKaTJZYAjFFlEiKB0RfR5d7DziOiplCHmTAC0UjRmwhAcrl+jmgbXl4vDxDSAQEqNG4qALexEP/cPZ9w93OMnT18WxruWbPqCdTTGQgRyMel+660HfH42Z75dF7RiLjGEP5WY1eMRwTsGV/jzVW3ZbLeFwxcySioOjvYZj49ZLy/onaPvO5rRPjJEOtcilYZUCqSxeHqJKTKuFFvnMVlxNNtDorhsb0BofAok32NExXg2YdttCK6AGkZGk6UiZJApIUXCx8x4skfble2FlkCWKCEZVRVvPfgiHz79aUHJksjKEILHx4Si9PN8GlAUUVv2EVMXmkxODhcEzWjMtt0QYzkzVaMRWlnc0CFksRjvTY5Zu0tWyy1Hoxqjx+S6Yr1ZQsq44HcT90hdW24d32Vxfcbe3oyryyuCFMQAVlmQPVZP6IcSlfHeoDQczKbsGcHW98w3PYMPqCBAJhIUmtHONh3DwMHehM55XOuoxmOkgLYt3UaELcbT7KmNJYXI4Hcm5RhRgmKfJqH1CB8GfPblXZ0FYjc39kR0Lvb07bBlVBXgRoqpXE6EpO89k8k+QRtS20J29MEhhKJSluhXhCTJQmC12AEHJLPJEYd3HxLXV7R9z8X8AqkM+3u32Wyv6bo1RhmM1cQQC37WZ4wGN3iEqphMbuFTh/eF/KONLfja8R5T27DcLPE5oRO42GG0JbpIEIG8A4goLcslhnKZUlZixBRBom2v6QZPzv+/D/J/rsbW4AMplgdNEpSbq0ygBT4KfHSlgKcEjW2IueDxnEuEUID3gUTOsGp7Qo5IVbJv113PEC/5ua++S2UFT8/OubyaczC+x4cXN/Qu0ownXG5vcE8GBl/iHXt7U+ppw/NnTwlSIrTA5YQUhtuzMSPb8PnlVbmNqpKh7F0CWaaqxIzPBekndSrYv96z3iislUitOX35nLqx+OwYi1ERAsVItIrrmytUY0AbRFAs2gXf/+D7SBcwQiJEMdbGkGiqii44Rs0eh3fus1x9jIuB7XZLQjAeTWiqmrOrUypR4UVH59qy6qwEqRUkBDFCSgkrGqSBVQSXFIezY1679wZReD77/AkqJVIMSBnROTJIRU4RKTxaa3KUNLJBJ6gqQxsGdG0Zq4w2kiena268RyRTbupSkLpin5vOjpiMZpyfvuBi49DJo6zleXjBaNSgqoYce/pQbsq2tgy9Q2uLi4VmNBo3eBf46U++x+H0EFImBEcSgrP5Fh9hPGpKIStmUiirqKQUMZWsoJYapKXre8ZTTUia9z75nNgVaZfcae/7FMqrICumuyKtNKWAmUQihIgWGhc0x8d79C6x2XSstpdF/pBz6SZYiVJ14dr6hEGjJuXvcb3twAeUlkg0xmg264G6HvNz3/g6v/zzv8AbZyteu/eCn7z/Xc6X1yRZzIq978vfsyjFqpdXm4LeWq/oXWBcj5C2KOMbK0k50ruBwQ1lYpIKxzy5UvYzxiKTIMuBvf0jFtcK3/tSOEseQeZL9/f4C196wO/+6HOug6dpLDlGgiuZbmsMIQ0YbTA609iapq5ZLG8IOXF85xbBX5Sp3CDIomD8JIIsBVJVBfepNDFHgo/EUcSniqv5UGin2ZN8oFu1yAhWGyCAEmzXC1LXM1KG1gdyTty9/RAr4cXFc4g9wsmiJ9cVqm74xV/4RW4WKy4Xl1xfzElRYOvSQXj18km5wFH03FlKPjm/4fahJcx7Vq1HaoNIgrtHY0ZK8ejyBpImJM8wOIbgSmbzaA9Sj5bgE/9m2xjIfPfTx4UvLsv0NFOEMdrUiCQ42JsxbSYMKbDYtvSxYPwmt0/wPjJShhQUVhsO9itEDGQi88HR+BlXLvP85hUoxyDGvJxf8sJ1XIpAKzwj5RnUzk6pDSo7ss6czGYcHj2kMpKX12vatmN5c41sDuhyZhMl1zhGYcPz68eIPEeLE077lvOt44yOherpxAB4zOA4aCS1Mixaj/QVUXbo7Pn5t1/jo7NzxFDz1Xce8s+/90N6H6mVIZtMECWjihZU2pTOjqlJMZKdQ9uaFD1aVQwxUglQSpGzZDzeY7leoEXxUwx+SUDyX/3uB1ycb1l3gXsP7vHq9DkC8HTFNklmtjfjenVd/mknNDI2k+KAUIV1fnr9EiUESUZEhP1RxV//xXf5p++9pJlMMTnz+PQpU23RUvLq/DkuSAbnaMalc7PZuB1PfctAQEnFdpsZj/cQKpC2G2KOdMHTD45IYUabnQcky4K/jH3Ee18uICnuDJEFIqGyRFZVMa7GUrrTtiZp6LoNSgrG2mJryCKj7Yx2u6B3m/JczNBUNSJlzi5vOJ+vcICpBP0Q0EKSgb7rETlRVxpB4my+pMsGaxu2m3XJhaMJqQyPZI4YaTDj8syPoUXpVBCrumK6d0i7uabrtqSQEMqSs6Dvl8wmB5hQHB5SFopdVrlEG3MiYqhtQwqCe/ff4ez8BTIJhCmF9yEYMhEVEtJT0NNkkixceCWLXPFwckjXDXRuQAlZqDIKwtaRZIntPX3xjL7vyiYng8wagkTkgFYZpSM2N0QfmEz36aOn264Rskj7hFD0bqCqGvquQyuJa3v63DEdjTncO2SzWfPgzbd59DRgN5EozM4LIqlGU5pacz2fExNo2+C6jvnZKw4OR6yHtnQMRUFfBzcgraTvHRpFGCJJ9Chp+cobJ/yNX/0KNy9O+X/+wXt8fLYGBaNJQ2UnBBfo3JYYMvvNHlVlObp1zNPPXtHHiAgRKxSz/Yd03uPCOdJLhLWEoSMKipXaWLIUdH3H4fSIPoGuJbWpwSWk1rRDh5SC7Ch9iGzQQjEdN0DmZlXinYMLpDiw2V4wGR0Qs6NPrgBWTBEOTkf7rIcB73oIIEQR1M2mJwxrx9X5JTk7SAFjDYvrlyCh0hYhEtIkcgqMJrchZ1aLSwIJnSLNeB+xlShbrO+BiB8SiC1/86/8Op88O+cHP/mQMHiUqonOgQRdmWJzdQkTK0yOJKVIMhNDBHqc68mp9Oz+PH792TPxqgE60k5mk3aSheATNhs8YOsDZrNbdJtLyJauXXHv+C5nN9cgMymwK2GmksON5YUfh4E2J77345/8m8PzxcUzQhSA5PjgNpGBqdGcXc9JKZFUZD1fIReCnCLGCFKUSGWxRnH74ITBeULKdC4VqkWOCF2a5kIKtFFoIamEoMOhsmWkNbORZN33GNsQhCdmwdX1wHlwpdWvLML3iCwZNhklB0Z2QkwS1245mkyQRpKRGKO5XMwhRlIIrNc3fPLxEqU04/EeyXcs13PG0xFNc0AUZZpam4K88ykydLlQKkRkOzhqpYipIJtCH8hBcbR/m6996es0U8NkMuWHP/4ePnlk8gyhlClcTOWFYUvpsq5HLLdXCMoXrW87kDA1x2BvsVk8ofdblCnZMqVK5rRbrxE5EhlojMLFRGPKny8Gh4+Bg71bZLEgeg++5ElVCgw+AiVOExO8mL/gs9NHxOxJORAiWKXQerdVUJoYHdVoxND1pBxQAqTQ8KcHxGHAdy1JKIZhQMSIrSwGRZ8iprb0w65Yag1TMaaLA0KV8m6WihwTKntChnpUcXLyFk8+f6+UZbUg7Ygrta0Z4lD+DCFSNROyUSBgVkm2vkfWmnEz4uRgwsRYzl+94Hf+Zce7X/4Vvvz2z/Hhpz9B+J63ZmOutgFBYMCDL5sDlEQIGBlbDoE5kZNkVu/x+uv3uVld8vmLl2ipETqilCWJhBQBIyW1Ujy8e4JQkudPX+wIORGULEjMkFi0ntPrFdf9wNe+dI9pfY/f+sP38QlO9ve5d/+IDz59zrTeK9/RlBi8o6oNMg4sV20RsoRCQMgkBIUGgig5zrwrm4rdIWVYdRwc3uXenTd576PvUFtJzJbeDfggEUnifOTq+oJv/8ErnGuxVUGPIRWXi0uMsSUc0Rhc7xk1YwyW9fyav/d3/z6rriVnVXoNSiMxDK3DhUg1mlI3ls3NAp0n/Pi0ZWoCQoqdC2Bgb7ZP1yVGsxFaeZBlOu9TRmLxvWd1uUBqMMIwSEH2gSE5yAWLZrQlBIeVhk070LuAtoKmOeAXv/XzfPMbv8oHH3/ED3/0Q5bGMbZjVHPA8+VLdIyYrGiUpB8EQluGbcaMB9Z+w9Wi5xMl6U/nrNjn3A1cLx3zrmOeehaio8uBqBJJBlRlsBU8uD3mr//H/y7VeMY//K3f5ZPHT4mpwgmDz45OrHF9pL9e8Twr5MU1ndxyHQw3bWK1itz0A3PpSFVgWA/cuEBsHX7b0jpBzBljBN/56Am994xrMJPbvHn/LV5enJJEoh36EueQRVmvpcFHz+snbzG/vmTlWrRR5FDiRJPZEc71tNsVKWdityrF32rCtr3ED5G8XHF62qOEQU0sXbwhhI6Uy6Q4pUTnelw3IHJmlTYYbciikCUqrQmuFOxVZUqRfxuQIpHsHt87dby8mWM3GybNHieHe/xnX3+LSij+7gePOOsipzcJkmRzs0EIiZCKutEEnxjVI+LQ0bU3uFDiaEpIUhbcPz5h1a1ZrbYkUZElRJHZdj0xJJS0EMoWTBoQMVOpiq7ruXfnNc5fnRJ8RNeKvmuxWqJjsYz2vsd7z6iZYGtB3xuU9AWUkBNFuWqYTPfZuDXKC4Z+oKkt09GUKC0382sQseSIs+XlTbnEy1jkjKNRRfKRnDRCwuADIUSkKmXTGAAM0fXoKtNv10WuE4fij9mRwqSUdMOGLA0+eLzvMUKU97NWxKSJUZafG46ffPIePjqICRNKnycTGVJi7bqCSgYygeADiIjUipxgcbMs75rsi/naKoTQzPYLqnjrPIgFUkmU0AijSCkwm+7ThYEUeibNmHXXk6qK9aYl5YDIGdd7lLFIJLaq+MKDN/jwk58S8YRU+hhZBC4XC3q3ZPP+d8kpUdkyNd90y12kybBde5SZIPoWciQicDFwOV8StCx+msruCDmeGBTaaFwq77CCpAj0Q6Ca1AxSobJir67YpsgvfvM3uHfnAf/kt//fWG0ZoidoxeJ8jrheYpuGe7fvcHn+Cu8DR/cesF7M2axatsM1DJFxPSMNK7RQhOQRKIy0BGGpq8x2vWHWTBlNR2SdaTaK7dATQsAKSaUMSls0lnW/JmQHTiGEQClDFJH1agESDmd7dENCCkE9NoVApUq3UGlZqHdKcjzRPD27LMO+HS0ppoSWCmHK+y8n6NqAUpJ1uyhnQqORMZNiYLV8ClGQs0OJyDDEnZzJ8aMPH3E5v2HbbkkuUjWaNmRQGe0iGlBKg7bklAmhBS+pTINVkJUkZI0iFOnov61DvIgDpITQBp9yaUWniNQGVMYg6bqb8oXvtmitSFJyOn+JT0UwI0hEn8lSUBlLROCdI4tElpKQB+7t3eNis2C1XnG4d8KibVmuL1HKsImuTMtzJsaIrRpGjaRrFYNPxYgYeoJXfPDkGV56lNLlEBIS2tZoZYp4IZdbvlIGKyTkkqv62dcO+Z/8yhf4L779AU+WQ1FO58DDk9foBbSrLbaquG6XJDmgfCSbTJ97ZnWDloLXb99mNLX8+KeP2YRCWvEIZBagIHqHjx6hBG27QSVB1zqerR+jtGRICZzncLbHul8TIwgtUVIwGlvkUIxgLgxIIbGqQVtFNZlyfHiLh69FPn70AZfzc2QqqzhIxf5qLEoJvOvpEfzM177J808/Ytt5lCySm7Zd8unjx4hKIYuPGiFB5PLfGoIjbDqUVHS+ZP2v1yumkxmN1fj1DSL21EoTMORYWvQuFpOvFEVEQoZ2fQM7CkJja4Sp2Kw3pBQga5Q2aDzJe6QSiJTLiw1JcA5UYeloKSF56qYiRMHgPVGCtArhKUImAcvNshSkhoS1Ja9qREPMA0Iklqvl7jA6Q+Yi8/lT8okSEanACkUXHVWG7XqDqi1WCIS1VDFzMpnwS9/4Jl+8O+INOfDB9ZbPFwPf+5Nvk4Xien6GiobKVtgushFgpQGlyF7SNApdaaSqcYslUH5/QuTTz57QhUC7cdTWUitDNbZMRxN651FKcDg74m/9tf+A3/32v+Tp8wv6EKjrSXE2BE8Wgk2v+Rc//gxhLUaP+fzlBSlIVAY9KfI1jaTvrvFZcDS9w/nVM2TRKjM5mOJah48RISUqa5KA5H2ZhkmLzIqkZVlZKsmkbtgsL3ncbkg5IkJ5eWobdxuMTNXUDEMgxBZTV0Qf0FJAFvhhjXey1IE6SW0a/BDIVuPTwPOzU6wBmQXKNEV3HSPjcY3xkiygqmY43RNjy3K55TIWklCK66JhjwOYQ867hiQ7wrAtE6+ssFoRc0+MNS4qlPAoLRj6UgDTKKIKJJFLqVYK1qFDCclY1hyM9njjwTv8xb/4m0yaCcvFc7585zXG4wk/enTGxZXgZhvZG0HKA9v1hmraIJWgH7a4jWMuFbEvJfkL1bH1gmUf6duAbx2DT6xlIkjwfkAIy561DFEQZE1jxygpQAtcHnDpBhss9Ip+ueE0StpthY0tcx3pYs06tmzazNB66OH1gwM+XrXkfoLYr3D9Gl0JRFAY0xT0rbZsuo6nr17yi9/4Gf7Bb79g61okCSWK+JeU6VxHJOGzIwtVkI3egxWkAP2mECTGjSQGaPtAUrBqt4RMGQTlEmWTKuI8XF1ekkNAKIUbPEkJainJMiGjQtVF7lOmzBAzaFORlcK5ctA3tgyQzhZzLldzQoyQHQu54fDoDp+cbXlw+4S/9LO/wG//6EecsyE6jxJly6OVZn88hu2WEAIxJIYosUqDzrjdd+JidcMwdGhbIlwpRmII2Koq4igBIQWEMgxdpFIlXxyT4OWTV6RGYStbNhvkYjdVxSnS9x1SaaISXK+XuK5n0lhcKtlsFAVDqWqODg9ZLZfErsQYjM1kEkoLlBohZGJot5is0RnQsuA3RRnMpVRACCpEbF2XyI4LjOsJOYGoEypLhPTFGF0XcaN3fSFjBQjRI3Ig5xK7GY1r/vK33uVsseT7H3xOpif4DpFSgR8IiSMSRRkGNrqi2wy4ocQ3hJFUQuOGImj0Lhb3iwworTG5eA20Mhzu73F5s0Aqi1SKmDy1qfFDwPWhiA63a6IfyGQ2EfZnt8AILq/OCTFgtUZLkFEgRKJvV3z8+ANSTiAMSiv2Jvu8+doJz5/OGbzCDS3KGKLSDL5HYRh6T/A9IipyXShAMoEzZZsw7Mq9VWWLpTYJdNNQZYsUmZXzNNMJx9Mpr85f8tPPX/F/+vv/ipQbXq0zbRREkfns6TMu50tS3JJ3/Y2uXZJlJmfBar2k7TY0tSX5gUcf/nEBbFCAJZ0bmOzN2NMj3r19yJ88e0FUEGPG9Te0OTAe1UzHM964c8TxrWOuFys++vxzRNzgZKD3PXdnhxxMJpyv5mQtEKL4ZYYhoYUga4PZGZhdDAgjie1Arcp5RGqBGc9wQxEzjUwiuZvy/ogCY4rHYfAeoqfa9R/JikwRMqVQEg4JgVUaKxNvHB/Ru0gXe9KqJVCGNd9//wPG0pLzbjMWBKYyBN+SXC6R1+xwsXRGrKrxoQMlWfWbgqq0hj70fy7D+D97nCY4pKmLgMdtQVpEyhAyWSX8n5quVtc0dTF6ohRRKpAlny2swYTCy4wpYusRkbI6yT4RCCw2HWGAkDLtelWKp/0GrSvIkpwEWguMNOScSEFijCTGMt1QWmGkYtt12HrM/t5tLq9eEnNGC8Ok2aPvtjvRRWHN3oSBRhqUqiFIFjcDQwjk7BFKQ9TcOtyj77c8mrcs+yU5SSajhk1aUqkRfS6qYKTgp08/R4iMTyBF+fO1MSDCLtetBFkL/ODQGUxt8H7AKFDR4hGgazb9QAglg+djJPiETIFKSlwo/PmQE3235dXZc54/e85ys+Z6OUcoQcoBbUox0CeJEpByJseElIrBDSyuFwhlkDZTqYauneOkx22uUNljhCRJUQ7MYif8MBqRE4hEVVVYoXHecfvOMeevLkhJsN12KATt4NC2GHRLpD2hrECbMb7rGGnFoDTZB0IIpDCQoWwilEUojdHjHcYrkpUipYitDcvNpljtkkBIjUTw1be+yNX8hvPFJdN6zLYvpkqhywtfC4nLmdFoghSRPmWEGIr5NGaCd4Q40PUf7LTUiux6GqUL+1hsUCmVbYHVbJxjRiAiCCGAAZcjj589Y7Wa8nxseXa5wmN5dfGSPgQ8DmkST5cQup5Epq6KnKkaC0wuF6PT6wW2muCTYGThYNzwarEmukBlKipp0driXWQdt6xXG0xliX3kt//1d3h1cc6QPWY8KhPQUB6KOmVCv2F/73VUZfnuh49JsUydFZLkBR9+WqgdnSvr/FeXz0jZU+uGIAQyQ+czSSpyDKUjgAKrELkYhL1PaAonlxC4DitUysgcyFLSpYCRirEc88vf+CZ9CvzhH38HckIqwZ07D7i5uWC56ICMNSMODibcLG/wQ6BOhYs/9C1Kgq4qrGkQ3jGZnnB5fbZTwls2/YaM4+p8g8qSlCX7oxqRA63zKDvGeQ+5ZFWjK6IoqRTT2SF97+jb66J/T57R2BZkW1JILchJ4bPflbMiQQhSGFBKo3Mpj21cx/sff0j9z/87Ts+fc3JQ+kAfPnvFDz/8tDyzTIUbBqZ7E5ZdIG4GZgdb6Afa9X7Jl970bJPj2pQNRuc6+iGQhoG4DUQXCts/KyrTcLVaYV+d8/f+8T9hVE94efqSxWaNo0EmTVAbhPJsvaZ1imw7pGu5UT1OVMXpETb0bSC4jp9ePmW57lhuBoTKDEqQ80A2GVsZ/DqSBo8xlnV3wx/84LslKuc9WpsyeRUWqcu0VGbDxfUrhsHhfSxUIlFesGEYkCLRt2IXK1AImdi6OQLLSAqmwqGtoJexDBy8KkjG4Ao/fDxCekdUhZ4iUkKIGq0ySQYmdYOImpXfUtUV2QVccFhtEUZitSQEw/07r3N2dcZmE/itlxccX3XYuuLR+QKpNCNjkEKz7racHO6hhGCRBUMsuL9aGaLKSFny6z4GumHAaI33nsZYglboBCF4ajKvT0c82kDMiodHFV9/6z6fvrrh84sEQhF96Tz5lFFG4PuEkZmYygBKKsmwLdhgKTJRlD5QdIFp1ZCDp+3XhFiRlUUrT86ZdtsilMDqIlbadm3pAkVQlaBShuAzLgSELNu2ODikKs+0mNKuwxOx1hKTKeQlr1GiwnuIKRfSUNhtsKxGS00MA8GVKOT5Ygk4mlqTQsClDMYwUgohFFKqUnKOniAB6xAItNLYyhKCpxnvsWmX1FWxtPquiMYqY8AFJqYpPYdcYBIyOyrTsDfZ4yYv6DcdKWuU2hlEK00bHMPqqmTsyagcIJe/7xAcJFFoWiOBlOV5BgofIh8+eoQQpTxP1qQkEH5ACYUej+m3W6Q1pMETh5ZUWfZ1jRaRru/ZPzrhZjknJ4EvxQbG1Yi33nmX01cvEb3DDY4nq5ckMriOJ68GpBjtBkIBHRLPn33IZHLE0Etc6pBS4oZUiCoyohRYKXHOMx7tk0Wgb3tc8AShUVKzWc+pjeGjs3OyEKg+o6pqRwXU1KMpKM3R8TF/6ZtfL72Tj475vd//Ps8ur5BScrncsNj2jJsT0ImhWxAGj1aS2k6oxw2X13M6v0ILwV4zZRCiTOKFQQlZLkNZo/KYD0+vaXuHzJnx5Jiuz3Sxpa5H5RKWAqpIEAhRInUsIidA7sAANZZ/55u/SN7O2S7n/ODsilXXsmoFGx/ofbGuJl1ITlKqAh5JEaEUUmSUdDTVCKMrls4xbFekUrUhe4dk1637t3WIV0qSZaQfygdUEpBZEHU5OMuYEQhsZYpswZhSngylBCt1OQQJVbF/64R2uyX4jn7odvzuEYNbM19cMm2mNFbTp4EcCu0iy7ICMbVGUsxaPkma2hC6bSFmxIxFs3c0I8SMkBE3tBipqHWDdw7nWlL0qF3JIvmAkoYkMgOJj65W/PTbH7OJHVYVJJTVih9//gQRenxIBK1p6j0yGWGbgpBUklvHJ1hR8eTsc47HE770pTf50U8fcXm9wKBK4TGXtv7gfLHD6sDgikU0o2lGFjG0bPsOUddlYiLL5oCUGY8MXR+AcuPVEg73R7TrCz78+LvcuvOAs5tTrudXCAllBBEIu+lGJpG9Z2QbPJ5Hn33Aw5OHjIRkM6xRVEhV45OjGc9ot1ty6FBCo7RGioSSDbNZw/XqmugivcxoDJenc7ZDj5DlcmWNRclAGaQaZJZMpoZVd4PoHQfjEbf3xrz38pwUI1rYEquRRYctQkQJR1WVybtGYEdTpLYslufYRiOTZHAeISRSwna1JZLZn5Zi3MgoALqhWIN9TFS2oLl6vzOTCgEalCmT/pwzZE9MO2OrouA6ZTm8NrougiCpMWSEknRu4Kg5QujMOvV89OxzXl1NwRpi63jt5BarYUs1bpBe87XXH7DoI6ubC56fzUkB7tw6wDaGKgoev3hFbYtV0IiikN/GTPQeLSXTvRO6vhTGUgxctx2NVYy0wQ8D7310xuAFPoKIkRxK3GUyHhOTR6F3eNiBbjswnox587V7zOcXtOuuSCiswHUeQ7EDa1MTKZ/DxeqGrttt54ykNpohFBJRtbtcWiVIoeTZA0AMCFlWpUf7tzDKEkjcOr7Pe598gnOeRMHWah4CFYoAAQAASURBVCV4+eKc6XRMThuEiOVlKCn+AlMxHk/w0RPbDTEXHKzWI/phYH59ijYZHz2bDg5uvc3i4jkiObJRxQMhJCNbcTIxhKh4dh0IMbBaL8ghMZmNWG/XjLwhZodUAqUqUgoYGXnw4AGPn3yOVwlrLSkodI7Iusb7gYwu+Dw/MKyXKNfy/Z/c8OnjD8jSool8X8DpekHqI0ZnBDVDVLy8OqeZHJPVhtBFFiGTLFR5hOwiUbaszAqcpvcdXb9FxIDvMzlI3KZnSAHfXhDJXLaZ+XtzmmpM20dCBFSgqR1uGLhBgLSYNKHOFS4uWesOqaDvJZ6O2Dn6fk2MGQHsNw2j8Yzn51uGnOg7T99eUzcjVEz0ceDx82doIemHSEYX5bqwJFliLJ7IEB2DG9BaEBwoMtEPSG2LM0ElKgTHsxGnix4fAiJEkJ6Hr3+BO0bwyeUZ682WGHssFV7FEqMwCd+tiygtFWIYSiHliMGvsEoTvd/h6CLEHqQmpgQahHP0PmOM4dmLR0ipWG0kyXV8dtqSTCLJ0ktJqsalRBCJi+0GgmF6cAvZbVn7ItzLMRPC7oArMmGIgCXLitHBAcvrBSRBkpK9WvGzb9zh/MOnXHeO124d8b/5H/8q//D3P+If/8FnnNy/w4effU7bbdEyFQyg1RjjsWaKGwIJX5wbQFWPEFYhYkCJiJYJW9WlzyGgEgaRSk8opyIwCi6jG5BSErPEB0/KCu8GpKjxIaPwTOpJyU9LQfS5MMhFJMpIHwYGF1BCgtEomeidQ+RivJay0N988EgNMeTyuQuOH33yrNBQtCrxPBRSFGyz8AE7PqDrtrz1+jucnr0gSUfKDpEEfhAc33vIF+9/je/88Nv44aZAFohYYxFKUdjYhmY8o+te0FTgfaGzrJc3OO+xxiKzJKQSIS6B4Iz/08K961Ba09iak4NDEppXF2dEhjJM8xSqlx5zdHyb7faaTbslJ7V7n0ZiFgwhMLSJ5AJDyGSp0cIQu4EbGZB1RaUq6HvIESkULnqMLZeQTx9/zF59wLSZImtDDgPZhYI9bhVKdMgESQzElBFIVjeXVI1GxERyUDclw08I1Kom5XKum9Yz9g/vsdhecnb6CEnG+YGjyQGHsymfn19Q1zXJBjIl4iyNhlzRd57Qd0ynNV994xZKZJ6/esE2OYZ2YNUOmCRQCWRUJDNi1EwIoUWQqaREqB1Sc3AsV2uUFozqUdlKSE0MmUoZhA/oSpXkQhI4v4HcM5tYumFA6RJn8T4SQ48UkiwkEcl0b0YeIptuzU3f88cffEAfA8vrK2YjwX/+61/jxbLnv/jRY85W2wJtUKLYwGNCW42QiuAjQmoyEh97hgDZKDQSmXxJsGARQsGfwzH+z46Y3GVRhS636ygSMqlSdPVF6hRiQQSmlDEmF8W765jsj4kDrL2jbgT3Zw9YVT2Lm2fkGAhEXLfBWoUdjxl6h8oRvztg6QxpKJzH4Dy39ya88fYDXs0XnF9f7iIWaieUCMwvL7HG0HWeFBY0jcXWhu0q4/qWJApXfiTANA3eO8Tuh7lN5SChhUSlsv6McSAJiQ8Boy1TM2boW+zIUmMYsmefzBvjihsnUBnMqHyhJ3XNldBMG0vvPY2QtAjGekrKnpBEWbWpmpqGX3v3Fxk2c77/6H1WabubtkNGIo1CSs2v/dy/w6enn3F6/gxjLL/wtXf55NkZj198xHZzzthIZlbQpxEKhZeCyICSAmk0KUiGIRZ7GIbLxdXO3pfZnxxyfHCPRy/fY/AbjPWQNDFCTIkYPVjLfLHYlUUhplCy59lDdBitQWWEhDv7dzg82OfJqyfYSpeohBMIFVm0LZfrG4IXHBwcsu42JC+ohCnqeCPIyeO7gE+grWXoOrIoGW3hRFG6G4UEvPc8O3uJkoqfffsef/M3vsIfffCcf/n+cxYr+W84r9JlXHZYU5GlJkeHCwm/mwYJqVGilKBUlkQBLuVySK4Nb96+w8vLS/rQUzcjjJEcqSmTpuJqMccaw/G9E6TTDDEy9zc8OX2KEIpGjulEz+nlmlsnd1i3GyaTQFQ9NzfnqO2UL969jdU1LnkE0DRjNi7Ctufg8BCCQqmKPjqsTriuR0hBiIJf+cZrKCH5p3/8EeNmSqUtKSa01mgpOB4bmtGYtvWsNmfMNxtGVc3x0d3yYEOxf3DExfWcNOwkYTKRpYbsSbEIUdzgEFIgsDtKkEEMLaNmRrtdkUlY05CER+rCwxVUxOC5ffsEo8ohXNl9ui5zc7OC7KlMsff5VA7ri2WH0BCdohaa+XwJqtCjLlc3WF0yj0rkneehPCRD8pioGRkLQrC6eE5lNVkLZnVDFxxd6wjS8WvfepN+CFwut6xS4mjvhO1moB86tBCsXEcKHgWlBG1BGUM2DbYeIfqOzm3RGGSl0TazXvUY0+CGQl2RWhFdoBeO3s0ZdsI7K4ppUeUEtiGkBDpSmbogOLsNJicUluXNDY3cYnOiVYotEhXLoan1W0If8XEJQZGiQ6pMUhFCYhgCrk9EOSYIya0q8fqR4cPzG5x2+KFCVA6RHetB47OhNVtUDogEISpCSKxXkemsJorItm/J/hK3WYOFxtRgG4wU9P1Owx48icRICYYQ8aEULYOQiMFhtEFrRfAe7xLClPcHFIurRpIT+CTYeotRieA8SWj2mylff/3rfPeDP+Hl9ZJRVVNPxrQ3N0XKZ4oUxyVBU1WQS0l51iTevOv46jtvcHIwwljDet1zftnxJ59ccXEtcUogQiSLgi4lK1JKZFEIKuPRHm27QGSJzhKlM31wBB8Y2xkpZXq/ZnO5QYoSH5UKXD+QUwJrmI5nNLJCaNj0npu2B1lW+xAIpuKffXLF0nmUkjw9X/N/+W/+iKu146/+2tscn+xxOT/js80NVW0QPjGeTOm3HV3fI6XA6oacI8n3ON+jkkEjyFqzajsSEiuhsqocvo0hpzI0E9KSCezvTxnXDY9fneKDJ7tiST28dchicV2MxW5bYmTGEuKAACqlcGRsFsyqhiF5Yg5453YZZU1ICS1K5EcC0goqY+g37t8ckoxUZJ+IKRV2ey7ACGEyrR9QUrLdrkrkKSYqbVGyQljL2elLFmdXDG5LigV1KXUiOIdQhpQTN5s5ebNkXGt6V6SU2ZfDoZKSPmYQES1KJ0ELjVcJI8EKSVAVmYwPnlW/wdoxUpYBYI6UYUV0CHpePH9cDntYDg+OGI8Ml5cv8WGgqSpiKF0WrW1xG8S8owBFZArEDD6bQggMZZhPcgiVGImK9eaag/0RVd1g7B6L+RIlPUIqbt+6y3qxoB0SSTq01myHHteXSJMWkt65wqNPgiACKUVGtma9XaDqGZXeQyhDFhEjBQOeV4uLgplspoSwIjlHlJnBR0y7IavE46cv+KMff0hTayaTCXdO7vLRk1M2YQtG4n1LIlCJhjcffI3np5+SvcPh6HxCpJIeKCVlgdKacT3laE9wfrVApUjvOqRytDdLJrMR7drRtS3WFHpQDJEsBRpN3VR0bWSvMhzsTXh2Oefh/TfxfctHn33EkHp+/PIxRtWkwbFnRwWlnoGdiDLlljTIAjJQGqUtOUX2x1MeHh2QjOCDJ0+odRF6hVi2VlmJ0tf5t11sDX4gqxLLaCb79GGNNcVO1mjDYn2za5QnjFKkkBiEQChD2xclvBCZ4COfnn2CzJ71aoWVenfbi1ipS0ZeQu9E+YIrmO5NcX1hk9pqxMMHX+CXvvVV/rvf/z3ivNgmhTRUNiOUxveeJOVOddvjoqa93pJI3Np7jc7fFBtd8KTgmM32sWTWmxVZKypZEWIxtEqjGXyikWY3xSlWs9leRegdUkesc5yMxtytAs+v5tT7Y7oh8q/+9Xt07Qoj2RE2oEsBq2xpO6fMpBnhfeaLr3+LfrtktbzmYNogtUQ6ilYhg6xr3nzjK5w+/YSnzz+j3dwwnhzgXce/fv8Ttl3LreMD/vKX3+Ct42M+v17y7fc/5WLdolQkRUgp451Hoqjrim5oscpgrEWmIrKY7NdshwuUHZUy1NYjgkEkj889ioJ7C35gPJ6UwmiMhfYjFMKYwudPmW3fc3Jwa0cxSKzXS5SukErgY/lMJCmpK8PJ4TGbF2uUlOgUmR4cEt1AO2xJUuF8R4yR4+MHrBbXKC12B4TC+I0+FKxWihhtmM3G3D+Zcvt0TEwZZWQpnQhBEgGlBW7oEdKWItKOmxxTyTYKChJq6CIJGFlojIQkeXm1YNF2NMZQ1TU2OLLIrLYdWkukgsurNfu6wo4qalujrSa4SLvcEHTm0jkW/ZrO9YzNmGgMGuic56cvn+BTprKWfWNZh4HkHGQPouJqecXB3pjkN3RBkpRB+cBkNubJjefm9BRrRuxNDujcinW7IURPMxpz9/iYv/DmBBd6fuuHL1hsExHN488/IydPXRtezl9CTDSykDJyjgTqMnVPgWw0IghQmr1JQ+ccg3foxlDXEuKI4Dp614GU1M2ElEsEqG0HvvjafV67dcj3PnjEk88+x+dQdNqhxE5iCqUYmwJClsOPNBppK+7P7jJfXhJCS0wBXTW4rngDBJlhcJAVRmlS9FSjmpAUb7xxl0jHfLEhJUXMgq3reXj3DstU8yePHrPxESkz23ZRJjOzfW5Pxzy7PMfHTK0FfRL4mDm/mnN1s2I8PWQ01gyLnpAdm9YRN7nkLo1kOjnC9x2u6zBVRUiS1IfC6a4Vne/R0jCEzP74CCkVxwcHtN01Ta2Zb7YMecCkMZkGkeA6JdAeJyTawKr3O3Z/W+RsmiKlSo7gHUoJhqElDqAOFG/tT5jJxNl2iZMSti1YT6MmDJuAFZlVb0h1QwwBlT05R3wQSDGgm1s439P6luAHrFWELBEi49olyo6QqUcgGKJnMh2hEcRO4kKPUBVVTmhdc/fWPvP5ZUE+hoA0EFRRxyskScSSOhCC/YNboK7J6wFCZONb/vDD77NpN1S2IkWP6wSmGaNjwmpTIl0pkIfI8VHmP/h37vBrX7/Lq/MN7z1a8L0P52z7yN0jwxcfHPDrv3ybGDL/9W895ieft0jRsN5sUKlHWomPoJEkJQjeo4SkGo3p2hYhc+lr6WKgDLE4VKy1JOkISZSiPuWF3i1vEM0INNx97edYXp7T9Z8zGEmdZ1yvtthqgtJTRIb5ZuAfffcJr9+d8Zv3vsKjx2dcL1ZoDMpO0ZUlqo4h9wgPUik8AylEQgpoZQghsTfZZ71dEmLYEZQy0+aQnh7qyFsPHvDhp5/iYiQrw+XlDW3jGFqHQlBbjc6Z0HeonMqmVSlEjPRtixIGoUWR8WVJFuXQH3xAI6hqhQ8SIxRBCkiZwTmMysQgkCisMoxHY262SyKSGALaKnJyJDLOByZVhckZLxU363NSFlTCErKg856J1cgcGGJLzqlsXFMR/xRqZ8ZWRaAUcYQsiDlhrSHEROsi42aMMpnBd0UKpSVZwmS8DzHRrztmB7do+yXJbwl9z/H4kEXK5CSRSiIUgCyfj+gIu3KzHyou+w1dhma6jx8GlE7EqDmYHdJuHd6viQSImeQyta3YdlukBKsFQfzp1lOimz32Z5lvfPU1DiYTHp0u+cnwhM3yhpwz0Tv2jw9ZvmqR2hAEyJwxWSJ1Ra0l2+iIOZNiLvEY2ImUelbxfWaTu0ipQQgMGZkcs9kBd+7dY7b3kCePP+J6+RL6HpMjLrQIpTldLPnBTz8m+IDRY5aLHm3GDFwjU2bveEa/7UFrjG2QQuFjjwuRtbVII/C9Q6gSC75ztM9vvvtVfu/Dj1BKEFLk6Og2gcT18orpeAJhUwRQzYiuW5FliQGnFOj6wHRyCyvhfD7H+4FPP/ohSIWKGSEtMUQkgZAFny07/vN/8R41husY8HEo0dEo0YCViq7r0VazWq34zAX2jw6xukaLgrO1VYXQFetN+fnl9OcRpvn/gxM/auqi8BWKqqrpug1CKOqmgr5j8MXiFVNiNGlwyRFSKgixvtAhlBJopUCDVuUQnHLaodAK46ILAZUzWENOmRTKrbSuaoZuS1WNqWxdChzDgNbFMjkCpMpsYyK6xGjUMLielDNGNVS2ovMd929/DZFbqrqmXbxitV0h7RREBAJCS2wqPOreC4zJxCRw2wHbjKks9EOgHhnWm21ZS6JoKoNRgnaA2w+O+PWf/yb/+g9+zPPzlwyux8lMiokcQmHq73geR/tTSIpvvPubfH72GWcXjxAJhlg+/EZWDDlQ6xqrJsyXL9C6sF1TEtw+us315pLoInvTKbNqvFsJDpzOr1n0Hq3L5arkTMtKUKpMpW2RnSjLwXTKYn7NF15/k6vNBWMzoWoUZ/MFm5uWKIsu3eopWijafousJU0UuBRwCEgeIXUpakmJMQZbGUgKKSMKTUaz3O4ypNLQeU9WxaoWXOEvSwST6REiRpabGxIWISNKw+jgkH65pe/WaCshiJ1GXKG1QOSAyJI379/l1kSxWg08X2xY+x6VE1VT07sBg6YLHpk047pmUB6iJPd9QVBZSSbTDxEpI8ZUpGg4GMO9k9t8cnpNpccoHFrC1m1LM99IGiOxunQbqtEeOWaS20IUBOEKgjEZstKI1COlJiPY9gPGZNJQLrJvHk/55uu3uLhp+eGTUzYRquaYdr1gu1nTDR1Sj5hOJswmUxarNd6t8T5weHAfoSOXF2el+BYG9iZjvnh3zP/i199iVtf8n//FR7z3+WWZYCmFEhVa1jSzmqPZHvPllsvLq3KBtxBjEavpqkZGTVXXjKqGrruh977QjtobptUUITLXqxVSKirdEPJQDmPBc+vkGKkUy80GNxR7XfSx8OvJKFvhnSeHUnYUeEbNCO8C907u0AXJ9eKCGAdELJQpo2uUzjg30DvPdDKl91tEgsZO+Oq7X8BtNzx5/pzlMCCFYlyP+NbP/AqfP/2Y8+szNv2GShiypmyCqukOuzkgtSCG8h0u0X+FSxmjDFUtGXrH4MohJaZEXRuynXBy6zUuXz3C9335nFPIBRaNrOqCHnMB5xzjaoJWmtneIZv+irquEBHevjtmRWTZJXKfqanoIkSjUbJjcJoYPNu2o5YVPndlypkjKTuGbYeuDArNZP+QRmVk9tx0pRivpEU1FUZqdMiMJQxZszfdZ95vCDIVt0M7oKWkF5LsOmLqSanHJlNQbkIjYs8QM11waDKmqkgx8R/+hV/lfL7mO+/9CGslijLhbKzBB7cz60JSAhI7ZnUiK0+lFUMSvP3az3J2+hldu8BnEFqgheKLb3+LnDMff/pDKg1ZKowqh0ipDcH3/MJX9vhf/Q++xHd+csE/+f1TrpcF8ZgTaG3Q1lILSxQ9P/POPn/1V08IMfH73+947/E116uBNqwh6XKplBajLW2/RGvJ1Ew4Otzn5fk5B3uHLDbXROERuSAHVVXhQ8INgWlTIbNgMwxURhYRjByRcqTk2IqBWClNEpJ6vI8UsF1dkVLi/q1bzKaW5bpjvV4TsmDv+C53b7/Bs6cfsLhZcOv4gOVyQfCZkBJSGUaNpesds2pC264IImDqmpQixwd3WbZrfN8yMjXDsAUluDM9ossDl4sbiBpITPYOWC4vERSPhNaixBlFxrlCKBEyE3LGSs0Oi49OiroZl62RDyhhS4F5iEQcJpdtq1CWw/GUL9x9gz/86fcIKeG8A5Gx2hYqWYxonRGYcjAXZVCVZUHwphgwVpOCYDYds213mwipUQqIhcqUckAKUeg2qXDTQTAaNXT9QGVqOl8K0KRUfm/vOD44IubAdr1FmRGoDNGjBcz2ZpxdLSAnlDXlwjFt8H1H9BSpVE6YZoRCEH1A6QZ0ATjU0z1SW1DMbtgSKFNokkTmgLYSITRSg0uR5Mt3JMman3v3IX/tL36LN2+NeO/5mn/6B+/xySePsaq8l4MQKASZMpyRUiB8ppkec3J8n2cvPkVIhzKK4EusKQXwMSGthZiQKe1IO5LJeMQ7Dx/w7/6Fv8x0fMB7j37Kdz/4CafPXpBVKBQ5mdBCcjCecms2xe5NiNFytrjk9NUrRIzM9g+4WiwQOWKERhiNVQqfI36HThY7+7aWisoqvvLwIc8vbrhxK/br27jUsR1apADXOyIBNwSq0QhC4mA2YWobzm7OCd6jdUPvI0oXGaEk45JES+gS5JSRarftTwlyEXzF0puGXOSZPniEBqJAikwiF3iKkmipiDmXAqtIGGNIIeJjYHDuv5cD/+fKiZfaILVCaUPoW0QKxBzpu4AiMmoMIWmGFNh2W/b39nfZKklTNfjY4f3ApJkWXF07ECkFw5PZhPOrC1KGSiqENWhZI40mpJboE0oU+kPXr1E60XmB7weyBCM1bRwglIlAbQ1QVh4qeYYwUFWK5D0vXv6YqrEYM8Eag1ACQWQymxGjL4poAcLB2AqyjGgpqRqFqSUOyaQa0Xal0GGMxTnPph8gW1RlGPrManXD1i1xIZaDikwYrZiMJ6z7geAdPglW655Kar7zo98mJ0/vepJQSCWYSE2OpXSpzAF1PcKsBVaUF1RMcL1cFpJLylxvtixWS5LI5JAwSlBJRcrloCOjxTYGO6qwIvH23UMevbzi6mbFzeKaEBMvzk5JeNahIxXwEFLJUugLCpEHpDUFoxYDbYokF4jaYLVm3MzKQ1UH6tEeIgy0/YBQCVspCB4rK0KOBKnI+k/zkx4dDfv7Y/o20Q4bSL6go/wAUTD4RAhXCKVRqiL7YvuTlAw7USCtQGZJ3PZce8WNT7TRY4QpDOWUqc2YFEtx2YhI73oQgpR2XQmtqacz3GaBkuB3GVCVBq5XMHiYNDMGP3AwbchC42JLIpExJFUTBJgEfbehsqZMdWcVLy8viYPFSU+lBXGQtL7H2jFvTkd88f6YDy46VtuOr792yN/669/iwycXvNp6tucD3XbN1rVUdkLOAiHLQ+feyRe5vvkBxjRM9/dBUAgXCLx3hUEfFafryN/93jPuHUzI9RhpVvzld08YUPze+88QRvIXf+GX+cY7J3z83iP+/u/fcDmsaZwEIxFSlpU5Eh8jl9fnBbdoDK7rqLKhHTqaiWG/Hu3WSBabEs57pNXc3Wt4/GpJH8qBRamAjOB8RpqqIDNxBY1aCRAQYmZUV5xdnzEeHbE/mTFfXu0ucB5tKnz0JEBIw7D7zAhh2PZrvvPDP6GqDZqCGIsK1pst3/vpD5BJ8NrDL/Lppx+QZC6bJaE5PDzk6uK06M+1RWZPF4tsJqXCRvZkjLBkUR64UQmQkj4ERiowP/2clANIxagqZV8XI+PRlHpvwupmTozDjk7SkoxltT5n4xwxZPb2aroQ0EKhusRis0HPSjRHkdHWEoRg6HuMyCTZEf1AYzW595ATlbUlHqAgtx0rWWJ8GsEwOOy4IBZD7Jnpmm2K7E0b/sOvHvO954H3XizK9FD0BA85CWazGVDz8vIVfdhiK4FF8dbJASvX83wBMSYGn7BC0J+/QAdJpQ1tXy75CUFEEWNAa4W2itYNpJCp6kLeiCETI4XhfvoxXbchCcHY6IK0bEbM56cM3Ya9ccW6c1ijyBKSUAgC/8PffMCvfPOE//1/+ROeXmc6F6hEQQBLJLPZmNtHxxiheXV1zkfPAu8/fspf/aU9/tO/8hrz/2pD13v6rDFCoqxlGLa42KGFQqSACy3nc0ciser6otwbehpjkeOKh/de4+WrOR0LUk4cHt9huLwgE9ibHdN7x3q9M31rix9cWduryHp1hVYlFie04PJmiQ8jNpuOLEv8qF9teTF8xHq5BBlYLG7oQ4bgMKYuhKgh8vq9E75sNUJM+Z1PXxCHREZyfv6iPL0kbKMnDJ6maujcwFfffo0/6T2tT3Rdx2o5J+fEweGMwfcM3RaRMo5iFRfsnB4uk2PYFf0UfS5SxRBDoZSN1G6LlskIQoLQBxCO3s748OIUWzXEbos2FkFCa8ve9JDF6hKfBAZgl8NHa+7eustkb4/nLz5l6AYqUxXLrfTI3UE9pkyiHNgFAiFyobzohIwZIw3D4FFC0dQjun6LlAZVWwZXrKXLzRptFdqUDmBIAzFEaqOZX1/vOgQK7xyGgoI2WtNoVVC6qYzxcsooK+mHNVaMEFExrLfUSvDmW++yXC24vHrOsDN8JglJCk5u3Wa1uABREMQhGKq6wqgGYqAfPJuuJ4REChFrx/T0pR+lFRKFMBIZJVGDbQzTyS2UeEzvPCYLBl/gH7WxCBGwEvoQqbUE0xBcIJKYzY6ZHd3izTsPaEaCl2fPuTk7Z90HhEqYZMAm1m6gmwvs+oamrlluWnISCKnYbDYQI8raErVKEW1qJtM7uN6xbi8ICbS0uJ0n5r0XLxi64pa5sye4PTvh/UeP6ENfsJ21ZVxXmErS5kA9bhhcZhsyCkXInqrR1MqQRMK1HQ9vHfN8cYnFMNvfxw8d224JVqGyKCLIXaxGaYsXxUNACFTGlM9UllRaMPgMuiGHLVkAUeKHQMihnJ+E+DMd0v97z+Z/5n8xlgdf8mGH7isTCVJiXI1QSKq65ktf+DKTasq2d+QkeOP2MTNTY5XAGENEkEXGVJJ92/AzJ7e5ub4h7kRQfQj4lNFiwG+XpB6GPjC4NWgBytBuO2o7QUmBqSxffOs1RtM9jB2VAmDfIlUhGdiJRYmCCVSqpjaWxo7JsWdaN4xnt8r6hkwUYKTECI2Xmawk1tZYrahrS8hlgt2nDcbWiGyRLhfaTAJjLSH0XF5e88/+5R/w6nLBeHJMXdUoZQgIFpsO7zNSlXKdJtOFnqQ8WUZqOysHjVhaz14IMgIfV2xXr0AUDbOyklsnd9Ba44OgMg3N7uYnU8mDugxRJqB8GT1DYcuqioOm5n/2l77Bl+/foda6ZOKMoo0Rq0aM6ik5wnQy5fj2McYYlExUqhxessyECCJJZN0QsyInxeJmXmQOOeO6NZvBkXY5wsE7+tSXFjeS0XSCSA5Sh97hzJz3aFtz587rQINVYyZNKUkrbbh/+wGzusYYRZa5cP+VxDYjRvWIhKSxlr3RUcFvWnjz1gFayVIS9hHvB2SG2ipiLOXHkbVoo+mSI1eZ68tT1tuBnCONUdR6zLgZlYl8SnSbJT70bJxj07UoUxwFWimiKA9oW0uautj+9vdus+oCXYwEVWgSgxtACkbCENyAUIGoMkOfCVFwPQSenF9zulyzbjt8t6LvtshsOD55wNHBXUbjCdFFXpx9hGSLloZ2s+b65pyXL58jZcYoibKaXgSuNx0/fLrkOx9fc3a5JojMR1ct77+6ISaJx/H4yXM+fvSYvl+QckHuZS3IQRGTpN1sSENH36+I0uNzRGNKyUckRBLsJfja3X3+k597iMlrtn2HEoaYJO89vyAZRaVGNM0xMzsFMtPpBFNVDG1HCoFqR0GSQpNiTw4FJXqzvKId1hweHlNZzVuvPeBnvvAOX3v7be4fn2CtoRt6YhYkmQr7W2tiNAg1ZtSMSoxAKl6//zVCSjx9+QhjFRnwcZefdJ7DgyNiUoWMJCKmqnbTwhIPJGe6zVBkYBmsBiUEdTXCjkpR27mBkAN9SKjGcGtyjG5G5NztJEYBlWDa7OHiwLrfIija++v5mm2YcXYduby+QqbSEepiz9A71t2SfnmFzQIRPDoKQix53BhdKWuL8qhXWaJMxViNMUSSVGgFFkm/WtG2HSF5ejfw/OKKf/y9D/j87JJue0UMG8IQ6JxHxMTR5A6pp8SGlMJHSR8dN62nDxmRFTFDCoEgFRey4unVVdGnV7bYDkVkcA4XoR08STgqbWmsxY73qHaCIYRAR4OPEZQuBUelIEbuHB3w1beOODiYsHe4j7E7W/HsNvief//n9/jW14743/7f3uPJeUILw9HsgP3JPnf3j5hOpnzl7df5m3/tN/i1b/0MR9Nj1qsF682af/y9Jf/gd57yt/9HrzOeRUyWmKamGo1R2qKUZjIeIZIkCkE3DEDGjhsUEiU1QWi+9s4X+MWf+QIptpAzUVnO53NSCgw+k1BMJ1Mqq5GmsKmFKkhcFwZS8Ls4KwXxO/SsthuiVAwuIMgczipev3+IVnB7NuYv/OwbTCpJU9XM9g+oRzVt8JydnlKLyJ6RSJkRlUJHh8iySHZyKtZKqemD53y55IcfPy4Sqp3N01qN1sUX4jvHqB6TQkTETMyZmCWwe79VI4Qe433EKsP+/gwlKGSdAQ6PHmIqjQESqdhnU+Z6ec7l5Stmo4bj6RirJJWpSmQ3DNzePyiUj5xwri18MClYDQOnly9o2+J36b1jtV6Vw7LUaNOANmQJWpc3cEwQYiodQykZYkkICGXonSMjCTkyrke8+/o3qExFTAFCwRsHOTCum4LzFJIhZ45vPeTB/S+xf3gHO90HEchJUEmNbszu55qwdUPyAUiMRhMmzYQcAyf3HvC3//b/ml//ld+AXM4XSRb6ncqa6/lFMXwHhc6aybQiq46nz5/w7T/6gL/37ff47o8fcf7qlLz7X0MKEIrKVIxHTek2BUdV1wz9hs+e/gCftiilcD6VraiGo/0j3nnnK9SNJSNonaPtWqaTEb/8pbf45W99mVfPPuaTH/8rXj5/xNB7VCWZjCdUdYPUChlAVA3b0LEdAs9eXNIuSny2amzZwIlE9D1ZSMbjI5Ztz/z6jE23JCZQWSNNgXzcmZ3w7ptfIivN0aTmm/fHLM6ekTMlDpsTRiqCDKxWHVOtuXt4wHq7hOSwKhNzyahjLWHIvHlym8PpmBgTKXvefXiPe7cOiw03RFIum8NGChptUUYUK7EQGDRJSqrRiKwiLsQyvAk9ZZSWkSJjtEDLXPp+/7Yz8ZWQNMaSYiRJwbBpSTGijGHdO4RM1MqxvliwN53w8voMESTn8xUIR9PU9C5jlKLtNiXDdDjl8HhC+zyQMlhbgRCIJNn2Hi01Gg85MAxQVwZrJa4NbNtFwQLFzKOnz/A+IoyAnKhHI5yPNPWIlMpt3PkBlCAgIJeXBYiiq7Y1IXqsKDe0QcLJ7Xv4blky0s2IoW+poiF7x8xO6PPASgz0fkDLEdPxiJuuJ6ZSMnSAkKXkk1RZf+k40FPWWDGUVXzKCm2g1iOkhRBrpAxY16CrA9phiZSp3OzaooSvm4b5ckNaLcg4Rtpy9/4J3rWcXa8htfhY5DlWS95+43VeXZ4S1luyd1xdnrKtBf/Xf/SvOV33RKmQFvCenDKTvSPuHh/w6WefcvfkDoNzLG7aXWnQlfVo1gSXoFGFMuEcMRXcWdxlMCUJqWtsbcjR46MvB3zKunNxdUVlCqFESUPse1rfYbRiudgghGAI290FT3D79j5dV/BZiZIrTCEgpCkTCAImQRsFT1dzHt6a8T/92Xv4EPg7v/sTssuMKsG7J/tcrQcuB0kQmT5kAgHzpxNlFxhZS6AqEZIQmE7GrPq23J6jZ1aPcJ6CexxZ1uuEFRGtI8rDaDTl8HDMqLG8uFzQ9nNkzhxMxlSTe3TbBc45YrciGY1ymesOXnw0JwWHTPD9x4HL1ffJqeJq1eOCox08jR2homC6t8/N+TWj6TEueWbVBJ8S3bCiEYIgoM8ZmUsu2Ld96QdoyXo9lJexVZxfbnF+y2zvNqNpw4+ePOXTFy/oVy2t9yX4pTRWQ9cPANS1Zd05Qg7UasTh/h69X3N+3YLSdD7zxZOGf/9rJ3z0askH5wt8DKAUKRWaxdItWW8v8YW5xXbrSVkwnsxAjtHAarUsFsMY6VxRsefoiCmzWQekBi0rfvbdr3JydIdnz17wRz/4Lq8uwOMJOeNcUWo4P2CrUSktp0xi4NHnf0LMrqi1kYVcpUo29mpxWSZDOZXVZwwlDig1SktG4ylaVGzbFXHHH45xIARQOuK6nmEYqM0IdKQbEn7VoyaC3CtGueFg70vsNXNOxpnBg+8c18MN+3vHtH6LCJn1ek3vWpzMRQLTOgbXgVIc1hPun0h8VCzr26wXLRt3ynK9RBuJ9gFCJhILZrdpik7dWLbDQKKU5Zq6xrmWrt8QpcG5yIulJwZBUjWx7ZHa0vsOJwUfPfkxe3XNO/e/wKOXj1mvLpDC8ryLqJGiD4FGCaKAwXU8enZB3yfa4BE+YmzDxNas/RYlKFKmUKKRgYxeB/DlxZlDj64rDvZPuLw6h9zhhgGpFau+4/7JMZthYPAD5+cwOMeNuuCdBzX/6V95m//j/+MJojrknaM9jvb2eHhyh6t2QUqFpb4/NdTaIFRkM2zJekoMN6xXW37nBxsmo8j/8q+9zv/h//4Zewe36LY9QkmySww+MBlPGfLAEBONrVlfX2CMZjydsdxu+fzpC548P6epJxgzZtFeEYeIQKKUYLm8oh5ZBLJc7FV5uUupkWJcyGw5kBLsjSa4mEgiEmNBNYNmcJ7JZIQ2BtB86a2HvLxoef78jJgCKXuEzORs+PaLJV4MRKOIbSDJwr3LvcdkizAZlzNKGKQPzDctWitiCsjowRh0yGhVMWrK752lYqolPXln6v7/lpS1lfTbQGUse9WMVdWTBphMGrrlBcl5jBHkpFG58LOVksToOBKRk5Nb/KvHz5jOZiyWay6GG6yQDGHAGEVdjZjNbpN2W3fvOoQooqwcu1J8p8L7gb3ZAb3flql/KJNwqQ3JCEayph9ahITpeEIOMDoYMTqwzM8XOBd4tXiJA0BxsndI8p6LfoWIgXFjyjNKSNrNAliz7a7JKOxoTOwje8f7bAJI6YjZ03Yd09k+eb3kenmJFpnKNCyXG/7RP/sHXF29RFQGfMTqEjt1KTKSEKWgbsaELpfY7dBzs+p575MXmMbiU+KN197han7J2fkrpC6Jiu22xclyEds73CN4D6TiGZEa5zNNPSaGDTFFtn1mL0/4j969z/eenfLx6fVOlDbw+eU1y9//Du/YwN/4jS/z2++dMp9fsFi23L73Ft2wxW16ZnsnZAYcWyQSnz0Gi6kUbtgiZJGs5ZwRMrEelqQ8gNcIA+REFpIUAkoo5tcXDK7DSHAhMGsMR/t7vNi8IpXZCgeVZhgy+uQhX54Fzs9PWbYbkpJ0IWJ1hfCBzm+ZVYJ2aHl2vdhtAAd+9OhxgfsRqUZ2B1wIvPXOG1zPF8znCybNlPHhAa1zuBjp2jUii3K+9D2aTKymaO8IRGRVobpY3D9/TuXWP/MhPlvD9XZTbnO7qRMpI7JAa8XBbMz8pmUVrxFaUllNEJnO99y/+zaXy0tid4VV+zjpyKJnvlzy7R+9j4+RqrZoEl8+ucWi3fJyHVG7OIBOXZFohCIkkhKcL7KkepxxfQQhSSliRPlzkQRD7zFSMjYVUUCfIvt7Df2m52hvQtjh6nzoMaboosu4IzCsCtNT5gopKrKNCCfJMbBOLRlNDoK6mqKSYQgtzUgzdKOSPReSvm/xDIRYCCPbVSiCGKXwOeDzgNVF1uCCZ9NvUVlgRDGVZRwBiUmW1XaJEYYHt++DClzNb0hK43zkcK/iP/6Vd3h6tuB7P3rBVgqu11uEFFR1xdRqZAw0uiFr/f/h7b9+dcvW/DzsGXHO+aUVd646FU8+fUJ3n+5WsxlBGCIomZIlQIZNQzDgP8CGbwz4wjcGDNi+sBxAwJANwbQBQ6BIymJSd7Ob4mk1Tw5Vp3LatcNae8UvzjSiL8bX55qGid6XhSrUXnt/35xjvO/v9zx0Q4vwhnfPbkk+EKJHVzVKg3MjV9fnbLdXCCVpt5knTz9HmUJtGUNPTBItysHARIDC+3XJlxwuEaUUIXoOKkOUJRQpkoeU8HJEWYlMiTunR5xd3zL2hVgQiaSwY2wHZnVDyKo09nPAyIbOrQnZFWlLc0KMAT/u0EIwmZxycHrA5vaK1x4d89LpKS92Wz787JLbbQ8hMz+e8/LBjFoZbl8sEbWl3WxwXheKSo64URVmbuwgCap6gguOqTGMGKTvGFxkaiSYCqJmYm0hEojI1Cq0CLzx8B4vP5wz/HDEOQd4GqHxw6ZEeRhAG4SUJDWy2fZY22C0LXngrPn82RalHSFSrK2TQ3rf8/TyU2aTCpE9y+un/OZrX+fXv/gm/+gn/5L1YBn7HdmU0hhoXIwkDz5HTM7UB4elmDbGMkU2lmHsuXfvDmfPzwnqoGzc1N4c6z2eskKM0RFlYcGrDMH1fHb2vKAflUDmiG3mfLyMbH/6HFtZlDS0Yw9pRCrNi5unEA2T2WEhGoQiQjNZ8+D4LufXL8AoTo6O+O63v8UvfvE+1+urYt01Gh/AmJqUHCEGFvM7fPvXfoeXH17jnKf//h9ztmrRwlAZy2Q2w3tH1y2xWuJTgpQY+hUZhQiBrEtuPBVIGiElhm2LknnPjy9SG0ikKIgpcnh8SNe2aCXwocSxFAnX92Rb8eDolK4PpTORErpS9G7ACE2qLDFvOLSS33npiI+WO55uAtZWjOO2ELeC53qz5HB2gN+saeOGPu+3c8nxykzxv/j3fp1PLrf8J//8A5a36z2JqmwVSYJkNTFE7szm9NslMVYInUgxoaoJIUuGdiDGAYxDmSkxekLQtGPgK69+mVobroct52efYKVljC0+G5KjGEKTRlWKMHREX2HqGXloySRMVqw3S1599Zvc41XW60u69gVOOhCS+WTCpt2Rk0Iph1SaqTYkWdMOO7JQJKG5Xb5AC6jnE4KP+CxZXm/4ox+8j5cj3boHXzoLwQ/87X/n61xdz3n9pa8wX3RMD2rm9ZTJRPHlB69QC0UU5YL2zidP+OT8Gq1qvvLKIz56/BZ9PzIOin/yJ+f83m885PVHhvefPAeKT0JoiRHFsFr40ppuKNFGTyKGDuLI7eqGajIn+JGYJMkFtNbE7FG6yAf73YA1mto2pCRLcTlmmuoAKSP9sEQS6YaeuBfbVXLG0eGUbbfhxXLF9U+WJYs+wD/4/Z8QRk8Gus0G0QikqIgusuzXaGUxQmJNmZwrpTEV/O43f4t3PnqPy80GKH6NGs3BZMrKeaL3TGqL14LD44N9rnekqmt2rsNKS12VDLKSgSwSvh/236HM1WbNxDZE7fH9huhHVNb4mIkpkRiL0DBJkvd8fLPhg+WGmDzj0CJVorIVKkRUVFhZMcby57kbHSEsib7Yc20tGUcFCHz0aG0JvkXIQC0EXip0ZQgpk3TCxYGkQClF2/UIZdAp412CmHB5JPdlM1LXC25cIrTbvZivEKGUFIgsODqsuLxZQsoF/+lHNIIX11eEIIoAUey9JD4UN0KIGFvRu5G4ueb7/+oP0bZicXCM82ekAoBmrjVZgmgajBCMTjPEAV1LjGlQUrFa7pBacXbxGbt+KChKqUgxoKSlqRsQiW7bIbXGjSNKG7z3pCTo+w2qUhAU3u+4vfqY7nABUdIoSx8Sq9axdeecX1wiHpzyg4+e89PPz7m8vUEKz+r2cal3pMRq6fGhAx2ReoIxtvhdXM+3Xzrlo8sNgxRYYQpSPAQq06BJhOgxasLRvbvcnH9OEqDmC26HHUImNn3k7/3sY0YfUDmRY0Epv3zviLazRHvIL64+ox93Je7iy4D16OCQu4enXN1c8WAhqZXlYrxhZmqWG0877qirCsi4scT6lM2cX1/TtzuChj71uK3g4OgOcXOFSBEpyjbnuw+O+Z1HL/F333/MmH3JzvcBqxXZhz//SbyL+5eUUigM1sBQxK0k4dgMmaqZstuuUNMJQ1/WfNJqLq7P8amnrgxFNgDV3gjZ7tp9EzmWD5o+ZDGb86J1CJ+RdYPVgRgySgu00Yw+09SF+Ss8TBrJbtvjYyRlSWNEwV1VxczZVJKUNAe14NHxQz5YfchquyY1FQJRMl4Bkg9Mqwo5UWhhESmhtEIYQS0MPSOVmVKlRCTQGFOYxingY2GNZm2IDqIY0RZC8lTNDCUVi0nN6C27Yc10fsDgPc6XvLZzI5UR5CAKY9/A6NZlHS1yWd0LzfMXL8gqFANs9FRSUk8rhFK0w8DXvvIaL17csBseo1XmS6cHvHkAHwJOeI6nB0hrcNkjx4C0mtKSS9jalkNkLNg+F0aWm3NkHUm5YBxj0lS2IsZEhSaFxJA8daVRUWDqCcRITL4ooGNHcIJaSLSoCHlASUkOZWPy4ME9bpdrdj6Wi0suTOLTwxm7rmeMDrnfrjx78RjQxc5KRsWANgappsh6yhgjq+srvviFl5hXiTEn/uSdJyyXG4w2JCPJWH74ecv84ICje1PWNxfonEmpuLqy1hhR1sLWJFyAhCPvC5hGJ1o/UuvEZhTEfmQybbDTmuwUlfW8ev8UISvabeRHv/is5KwVGGERSlLpzEQpRlHhdCImgRYRJWZU1ZRhHInVBhczXVSoOKBomE8UyUpy1+CDZ7XbAhFpMs9ur6mfWEYvcX1X/l6TotaJxjZsh46YM3U1hTiS+h2NbhhFoN0OzOcNAs/Z2WNyDrS7JTKV6EJycZ/hVCibUMbQt1uaypClph8DCIskFH6zylytewav+GxnObKacSglUylKscwNCVsZXnvla5w/e4etv8aahuwD290twXf4MfPNr3+Z3/vmV/jk48+5WQqyTITRg6qLvl5qOu9575NP+LWv/gZvvvw1br7S88FH77IZe4YUUXbCnckBQgk+7j7D+YwRkqA0SYQ9Xlbs8/Rw5/iIdtszUiR0SqpyGTIGkUHZImoLOdPubqhssRdKLSCaQo3IpYzXdS1jjgXHKjWTqsGnCM5xc3ND3exgesCfPHGcr9cMY4s2hhgTDBnveyZVxW5zi/AjLhRfg8ogjWDjI89uWzrvsbpG1lvEIJC2GGpTCDjvUFYjqwVyaFmuzmmqhiwT426DUG1RqEpNNtWvthZj8sgUOH/+IQGFrosh+OGdBVEd8emTS25uf041aZguFvS7EjMcYyT3G2SCkHRp8hHoVk95eO8V1OKAwa3p+o4UEw8fHjGf1lxcrVks7nJ08pCmqnj65GMOdGY3elIaGX2PkhUqwL3DA1Jlefb0jHW74tH9U9Lo2MVICvDGSzMe3a/5P/2/P8JO7jKxBY/buo7FpGFaNxwdHDCbTEg5cLNcUdkJYoSn11dopaiMLptD3fCPv3fDf/9vvM7/+j/9JVkovBNIXabJ612HQTOvD0ipRCW33RIFoDRjzOAcPgRkThgUwlhSSFSTKckFOjcgmwnORYyWhJCRRMbhpjw7pC46exeZVBOGsUMKxzD4/T09M7QjTaUwlUBHz2xiMELRj4FMwGcYUvEdeDw5Sb4wn7A4POTp1YatG3j3k09Z7jpsXSGlIIQRrS07P5BDEfdJJEIFNqsLchIEnzGVZWIsu3ZAaIXLiXpqShSEWHCOKSOVIXhH8o5+8Aih9zhhTSUyelKTh1AwnEIVv0QqDO5xCAQ8wgWizKhGI2UFfcvzs0+o6oq4H+AZqUjOI7PGJ49A42Ugerh/bPj1Nx/x3vMdX/viV7i+WfKLD97DJ4nZW2xlVAjpWZ6/QGmN1Yq29xhjqCcVw7hFOAkicm9+yvFixiePnyK0Jit4cb0kel9mnhJSKAPNIWekMRiV8SFjdAU5FdkepfBotSHFkZgjox/Zdlum1TE5BLbDmqASi2nF4nDC9fk1IQdOJjPuHU1ZLCasVx3Je0af2G06dkNPM72H8ztslZDJ4qLn9PiI2+V12YwpW2hg+1iz0gotK3zsGMce7zr+q18sUULgRCH/RSR+jIxx5N2zS56v1yzbETdmjFWkFBDJ4H0k5w1aQA6ZMQ/4EJnYCTk7Zo2l0TMO6n2MODhEVvvibqJWFUFl2uWS4BNCZoYhEMZAlBqlBbtuoGpqYgC5x32+9fSafnQYc8HBdMFMHZO5JifBfLbgwck9/sN/92/zL3/2p3z/h3+EDlt8DPjYEWNgYmakUOJ8QhbiYtj1+NYV50FOBBIIx82LJ8Sc0NqU4U8I/PxixSe3A7tcaGu2UniXEUEUJKWKRRD553WIjyGgBGghmU7ndP0aACXLBLztPEJs93KDSM7lh094OrfFjSPHhwecnBywenpDGiJxLKQOpTW1mdCnlh8+PUNTsu7BJcrjXxHjDo/EbQemxiJSZNEYYjYMrqWuDdoXBObs8Bjfd/gUQJTy2RA72i7jckLqhqAzdRZoUzE3Ap0qUnYUYqrAaEXCoKXEBYeOimk1Q3iHF5IqwKgEQzaorGiMIgpHGwVeOYTQ5ACVTty5dw8tDM+etpAFRtWMwVPJGqM0r7z6baba8ssP/hv66JAyMakULia+ePcIbQ3Prm7JQeB8i+8Lx77RFqUMy23LP/yXP+P6dktFxSuvfJFXH97j8/MXbGPgZuexUrD10A4j4zBgJ5KoDDFnVEWJuITAl+485JunNdu+5QcvNtwOW5Qo5l2dYD6fIlKmmhhuN9f7NrmhHQu5otI1SQRIiuRHbFWXcmgKuDSCLHWyLDXjGPng48+IQiBlRKbSRl/Mpvza177CL95+r1AMKkPoixzLSFFW/DoTU4vMFSJBu71hcANGFhtpAMz+8JqzKgjJ5BFIfv3b3+Hy5orzJ59ys1pjdEUKCRlFKTGKQPQDUtU0SpIJgOCNB/e5Xi5JZgYkJtqgpjXd0CNdoFaKyhi2rpgsl7cORUBWgqmRpXCnihpbKIG2EtPHohwXhpw6QuhQQuOcYXRDKTDHgJLFgRCdwGeBkOByRiaBJHHbXfNsZahNha0a+jBicDw4OKHzESk1pnYI4clYZIaX75xw0fX4PvLg+ITb9pY3v/CAs4tLuk6yaTdE70p5VktAovf87GgN2TZ411HXDVJUDH6DzAIjakJq2e48U3XM5RgIiLK2DgEVBFkopMx8/MEPiNGRZClKi+hLPCV5UoDHz17wd/8//5RnF89JMjCZLpCSElmLntn8mNXNkl++8xZ3D0/5S9/5DjrfcDKb8Ri9n+ANfNg+p5YSkWHaGGytmB8cc3V1y3bnymRIamIaEUJQ2xrvu2KPzZqIQ2ZDpPgvpBJMlGQIu19hdavJlM12x0v3X0drydPnH9OFsUhiyBye3uPNL36d997+BW0eUAhC8JAyk6p8h4gKHwoJarKwqDBFqMywdehKEWOkHwNKCFLWPLkZ+T/8wYccnbzOvYff4LOLf07MguAShsLCzjFg5QmbbYf0W6TJdH5bJHcxUqtEJiBFgxsSOQxU1hBDZETiRdmqxbHDjZHPz0KJWOWElRk/9Mi64mQxZXrnFUSI6JR4cvYpInmm8wXj4AihJw6XPH9+zhgdVpXtVzOp6WIo/QWtmVfHvPmlr3N59TnJK2wccMMOFRV1VTas6XBOGDIHzQE5Oy4vr/fbLoUSme987Yjvv70iYJiqjBSabheYNxpTaY4Op9w7OWLeVBglefnOSxzNnmOlJL030g9bNtue6AuY4Edvn/Ef/LVvclgrblrBtDaMcWS72xCDAAQudbz64FVW2yUhF3xclopEhCiY1VOC3xUfQy569qF3RBeQRrFrCze/7Xsqq7ASfPLEkAqlQyoWzQGvv/llPvz4A9p+hc2GB3cesm7XdKNDScnMKP797zzkr3/7Db739jX/7KNznl1fkrP7lS+i9wltJL/52kOeL1t2XUvIgqvNNSiQPpXek4+Mwxaj9kMzMaHtO7LIaCUIMdHUFVJKhDdYGxiSx6qK4BWIiKknRO8ZRo/1mZigaztiitS1YTZtCEPgd19/mc0w8M7Ta6IoVmefMoKE0TU+RULKGKOxtqLfdYyyxahCegtxj6gl0bkRITJ10zDVM/qxJYaIkpkXt57vv3tJkAJjK4S2fOmVb/PWBz8hyNINQCZCTIgsC65WBJRP5BCRWqKVLJhNabm+XnNxdYFUkjw4hNWQYrGTG01KGSUFShtMUxFiJvYj1ii0ymzWK/T+8qwUhGHEaIkLxYStlNpn0QekLM/8MMD6cofLcDg54tX7h/ylbz7g21885fvvvuBfvfWCrvf0QfDk6pz54g79Fg4mmjaM7NYDOiTqqkEKyRAjKRRbssgJgSFnhTV/luge2XUOqyy6VkwPF/jB0e7KgTYEz7IVdGMqP/so0bIc5j0BhCRrhZKyRDqVph1bJJkff3yLFmCjoaU8E+Iw4imbXZ8lIQ2kMFDZYq9v2yVCCbJPICS2rtGmQqQEKuAwOOcQORPDwG4IeBfQUoAUbNqWxZfu8PD1lzh4ckjOgpUfmJiGqpkys5bp5BEu9uy2K0bfl0x7XZOiIomIyuUdlmKpdDd2gsgBpRIuRAYkMXkyGSktIlt0BSEM+FiMxf8mfv1rH+KFjOz5S+z6HTGUW5U0iRxBWVXYx3utuqSUcHIoP4jIGT9Gtq0v2TqRqFSFl4KqMVT7VvKYAkhJP4b9g2FHpkgkpNR47yAFGjvlL33z1/n5Rx9yuR6ZTg9Zrq9ojCL4QJKZYezLQRmNbCSdbPHDyMH8iH5YIURBF53O7xKiYT1ssGaCFZ7KQNNMaFc9TTUleYcQUM8X3LYFJyiEKTfonMh4pFA0dUCbikpPWbZrfHDcXl8zmxyS/cC0mnL/3gOSFNzcrIhZs7m+prflYDKpJng/0rYJoSxBGDa7gSANWQZSCJi6opYVWhj0bMrQ3nJ2ds3oA0F63v/gLVwuq8zLzcByCHTA8cEhdxanvPv8Y9IA82qKQLHpNmWSnhXfPJb8T//al7hsO5Z/+BYfbSUpB7bDgB8EJjg2Xcf07stIa0nJkYXluGroQkcbHIfzGQ2Sy8sXtH1gPi0H/5wEVk1xrkNJRYiOtouIWGRAUpX1dOtH/vQnP2UcClEgpkSUkYPJXQ7mB3TDjuvVJToLTMj4XDTjE22IQnDb98gkaWLChx6rFM2kxnvBevT8/p/+KYvJDBVimb5bDTli9mIgN+7QugYhCK6Y4iazCmQkxohQnoQk20yMRTaVY0A3FikU2yFSNz1azTAqY4TG1hatQChFJRU555K1sxHvAoKKEzPl+eU1Y+eZa0vyEV0Zdu0a6cA5RzZgmwMWi1Mur56hQpmMT6Xmt157xIublu1ui8ieajLld779G3x4dsH4+HNWzjMGj9aahECrnt3tNUEIrtqOoUu8+9EZUiRaD7UyOAt9jFiZsVoRKeZELSTReQiCmAODH0A6ohegBEoZyJmbfkdImaaqOTo65sWLy30/RdK7HUqU6FJKuUxuhKJ3vuC7hOZseYvYbgqNRSb80KJUhakiMkvWyxu0ENysb/mTH/4Jt9ePaWrLzdAStUKnBpUiCUUfemam4bWHd/jNb7zKZy86ps2Ejz74lJA8dV3TdSPn11fI/YTHWktKGas01tgiOMoSkikWZCuQVpMitN2OlALX188JwRMTTCdTXAx77rLl6efPmTQTuv62HO6TZrvt+CgPnByfYqua58+fQUjICFrVbHdLpLIEFwhSoKTA57L9QgSer9d8evYzdFWTUkKJiDGC2fSA7f5gmOlRbiiyE1GiHFCoXzGW0qGLHlUJYhjJwoIKGFF6AovFAu8C3eaaaDwpBlJMzJtDFIlx7HBe0rrHaAX3F69QTxr6nmKgjJ5h51m2T8mZvXBsRKTMzz78lBjLROp2eclu2/HB458CDh9GpIdpXdGFAFoiNVwvL6hsQ+8GUuzRutpnYQVSZn7tjQP+6AdLTo+/zBdeesDZ+RMYt2ghmc9nHM3mHM3nTKxBZAdC8ejBXbb9jt4NCKk4u1hxs14x9C27LvDiuuelBxUvPthi5QQpEt6X0qCPDp0j59dPaIcRUdgjSGBaG5Ifafuh5H4RpXwXUhEnAviISAMpFPmVD0XLnkWNwFMZyTAEhr7j2cUnpNRRNROGfuDsxXOUMkQBXYjcbwxv3D3k17/xgPN2hA8eY6aHpN2Ort8RG10wfP3IP3znOcF3xUsSLYcHM/oUGTbbEmGlWIqPTu/iwkB0MJnO2e3WHM/v0ifHl149IiTDh+99Qs6RiTVUVcV602JsQWgmUUham9UFIglsU5FzIseA6z1CwKc3K6SyYBukCIhc4Bgh5LLpMopGTMqhWCislUQy2k6xWhEIuLZDaVmMoUqSYqCuBV0XUUJSOrWWL50ccbNd8vt//EfUswVhjIjsCVKjE6X7JwTTumF0I46MEhkSRJfJOdLnxEzrUoo1xeQ6mR8y+I5+cBgk+OK3kVKiTUNVz4jdDj2Z0Lm+oDBlSSeInHG+SPRkFlRmxtZ3eB9YjWfF8qs05MzWeV6enaBN+b2stx2dK127iVEcHk356pdOePnugv/yjzM32x1eg64a6FcoK7jqtxATR7MDjo5nXN7cEGLLpFIYqbGLB8Rxw3Z9SYiBelJDNrz28FWuVrd0w44sdPlzloI4eE4P7xAQxODx447RRQSq+BFSJImETOWdrZTCqJpI2fx1bouQhqmt6I1EKAkxUjc1/SCwTaF7SW0Qw0hKoWwPtMCPCWJfqEJWIXLebzQMB7ND1rtL5N4YfDg/pt/s+MXHv+T/+Hf+E5a7tlwykmSInrkSNLMjNtsdg2v3EkFBUzd0wRdDawhoY0ts2nmaqiIQicGX75LUWG2IKWONxnrHoATKaupJw9B7xvHP+RCfkmRiagQRT0Ari5hqfOohUXinKZcJdAwYY0m5vPjbYaC2CiUTl5efFh503ZBCeQIOu0gyEUHhluY/u7lKRUoRkmLMGSEC06ZCK0XbBz56+oLVZkdjZnz5wZu8NexIjKToCRRjqFCZFEd679FCISX4YUdjGlyO2Gx4utlSi5qJ1Lg4orUheklQA9rsM5YJaqW5f+91woun7LolWsIdaThYTLnuNrR9Ju5teyorrFR0WdBt16y7JQsl0RPJg5M7XK3X+AQhBO4cGHZhwCXFRBuETvTjSK00v/u1h/zsg+e0Y6Q8DhQySdrgETIgbjtK8MwXyQaZ48WUVbtl6wPbtkN15WdACvqxx4oAoqIbekJMpYQbMzMbOduteXJzSxBw73jO5XjLpi0Z4YN5w+HiBHFzy3J1idEZJyCEkZ33qOmE+4cnXJ4/KxEfMnWlqLVk5wzetWSVIEtCLhx5kXx5gStIRKwSRBfofCBJgY5in6+UHDQnNPWCzeYGGQVRgxNFMhNDBiJSiX3+UlFXM1AVUhas2HwxJytYry65urmiacrLlDGgVGB0HhCkWEpYIaQ9d1iy7RKfj9fFXCxLJXoMjhwSqpoyaQzG1lSi8JF1tthKoamorMJoTW00Rhcjrc+BhGGICWscOQg655nVdUlk+8gkNjSzQ4zI7PqRGEvxtqlr+tGTkqYyit7taA4WfLJc8tbHHzDERK0Vu67nn/6rP8U0Fa0fMVkQ0MiYkHXFe0/OcC6ijGW93mGVIvqRUQakMTTakgbBRILzLUqWHHXMGTc6UJa8b+Gbqtp/b0EozcHilOQ9Xb8kR089O+XBnZe5vr3FpZ6p1vgk6F0oB2RpCxUgZXLOJCJSlT+3FEOZwGlBDokxDzif2Y8KyEnghsiLmwtWu1t8ykQSZJgdTGj0Aav1Fc4LoiyoysdPb3nrk2d0Y2AyPSX4gc3mliT+rEcQyBFyLHI3pCKIgZhEKVWT8FkQhsLIjkVli1JljRy9Q6Doe8f9R2+ShpZNf0sOicXBAdxQbJRaMfiBdgPjkDBVYem7JLnZOOrJjBwlVgiSmiJlxE4U/ZDJPrFLDmsmONGy2a0RWbCYNrzx+iM+/OwxYz8gTcWQMhqJz45KKazUpbuTJSqXi4h3HdVYLprOZQ6aKd3Y4qInpkQ/7lCNZT4/oGtXyCiYzeYYJTm7ifgwUsvSbTnfPGPnNkzrhuQjUhbPQEqglWZ0A94NKK2QFIwvWSK1JuBIQ/lOVkaBMAzJ8/IrDxjansvuhigzu26LzB6hVDkYWuiGkUlVczC3PLlpOT5c8ejBrzFsNpz7Hj2RVEAlBAcTy2ImsaoqQkJpuXM45/Z2wv2TYza7kdv1DVJlGjvl4rrji2/c5+efOboxEnJA5pJsVWiULVbuSluEaRjGlhAjOWaapiIMA1EUzOHoHU0zox93HMwXZBK7ri3cepGRUhGTQFUZYsJnia0bZnXDZr1jHEaUikgyIqeS19WGlMBlyZ88vmb9X7/NW0+WNLMjvv3ohHc+fJuuS1ghmcynrFY35f0qJQLJ/GjBenNDyFAbQ9cP5ByxlWazvqER4EMmao1WFh8zr7/8iO986T7/4sfvMyagMhyeHPDo3n3eeutdovNklTB2RhS7/bRcI/d6+pQo7gQtWPtEu12RvSeQyBKstlRaEnP5PctkCD7QDjt0Kmx6ciANARc9ImWg8OQTIFFsN2sOpjMms1PW2wuSz1zcLlm3HUMMdO0VjdLU8woRyjOm0Q3t2BLI+JTJKRNlmUjHlJgZC1ngcAiZUVFiJzXa1IjoMaZc0KCU6EVKOF+GV9/+9u/xzgfvQr4pQA2jS7dAZWJM6AxMNKkWqJ1Gygw05BQwSoAsmNfLzQVSCipr2YyZf/XeGb/86Iwsp2w7h1a3bNuW04MDVtcrvG+5XLVkF8m5dDeyLNfN33jjy1wcLnn38Vt0LpCiZHP9FFRAyEwlNVJocpacX5wREpAVWqVfRXCyzEwmU27XW7a7a6ySxeaNKH6cnDFofMr4EKkNnJxMWS2XZCWLZVeEgtyVmiQyVi8wtiJEz3xyQAypPOe0RutpcYlkR78XiSllERT5U/ABozK7dkOWhgfzQ0YS7XLLYjrn+fUZb62WzJsZvQ9UUkDOXC+vSGuBwhQ+vAgIqYiiwsaRmCJZSJS2BD+ymE9RwjKGAWkkbowoZdB2yr3pEb674T/4xmv8/uMzLvtEGCNalWFM+Dfge/rXPsTXjQA0MUhCCOjcQZbEvenzm68/5OPnZ9z2HqMkMSaEhJTL+smRELlY5FTKmCzIRmBkRSCjzIxudws5crA4YHQ9Qz9gKo0S5bBrteX1+wcsmkMeX2746OwxLkcanXn/87fBB/qUmE4M03qCX14zmZVb2TQaAuWGdDibIZVk63ZgKmaTKdF1mNoiiGgsTgW6faym0ZIqT0GPvLj8jBQddSPph0RUASdrFotDXLrFKEMMhvVuzRgH/oyGbBHscma7XLPbvk89KYfcJDw37SU3qw0uFBII+GLfE5J/8dZnLDddwbVFMFpSGc3YloKN1hotTDGf1oYcKUp5DzHA8UHN4HraYeRFd4G1Fq1LwUUiOZ7NgMCq78AYfnp2y//mX7wNSqMmDQ9PZmixQ3nDd775Nf7mX/8L/F//s3/Ae589owsjyUEzrWjbgco5lleXZAS71Q6SZFZPICeGboOpFGMYmdWWwYFMJY51eHzMze6WREJRXtrHp3fYdVs2/Q6dyo2991tunz4nhh5rDcpYgvMEEYg5IYymEqLECWRks9sLN+qaEDK74Yo7p8ccHJ1wcu+QF8tzfPLoSuGCQ4hEiCNKSUCQs6FpbEF0pZ4hJDoClZTMbMXBbMazmxWHVc2doxmDgIWdMo47pJAYFI02WKmwlaWpDEpmjAKdLQGBDYnBZNyQqUUpATkPfchM7sBhPWMcFnSx5XjesNu1yOS5d3Cfu9OG5xfPkBmGfst7T3rcPprR9wNaGYaxpQ2uXKiVZTadMLiRftcWvJYqlIbJ/BCiBymodcmv9i6Q2Zc5hWAIoRxI6grnBSLDKAVKyPJSThFTaZwbWG5uwJcokJCKzWbJT375E0SKGGs4Pb2LiorLTUs3LLn/4BEvVldoA25bCt7SGIa+mD+l0iAiLhQucAqC6dGEdlNIJVYFhl6QcwVYhuhJofxdzqcN2yRJwSGUwI2e33h0QC3u8ifvXfB73/33aWTNP/iD/zNeJBC5HAxjJqSAkpqkDaaSiOxKxJsypeTPbHy6mKedd4w5oawuUYoM7XZLip5hHLl3eI/17SVyz4weh1gOMQj6YWAcy+TGhZIJdsMGJRRjGH5FxvE+lAKtKlENH3ustuTk0KbCxcB77z+h8575ZEpGsmt7bN3QSIWL4682DEPqmJmGbhixTYPFIqspt8un7HzGhQgKbq5eYCqL8JIc468Y8N3NOZWxCClKv6iZgsxc77ZIqXBu4GB2ROoHPOD7nighR0FVW8gZmUAbjcgCKQQJScyxNCy8IPgOrYvJM6Mw1pAk+JQQKKTRaKkZhhb2wyStK3a9Y+cu+P4Pfo6sNdLY4ixJf3ZJNTQ6MJlAiGC8wNqShddacvfuMW2/4/rKM4yRzQ7msxIJs80EMQRS9NTSYJoZw1gKhF56ZNSQJY2uGENidCOV1jifsFVD53sCiml9UJwraY9yFeyt4+VyHZ0r7wQRyEKx6rZIMipn7h/coesHdn6JVMViWinLzc2KPx16fvDJBX0Q3Lt7j996/T4vrp6w3myIMTBubzFIUi6RAyUNioiIgYlt9jlgSW0btMq4rqOzDdYops2E3WaLDy2Xq56/9/s/YrXdgioCtXY18MHmcyICqcsFN/uuUKGMQJkpRlqySMVpogSji0jR8+D0hMvrJTGWyffBZMLtZkNMibDtmdSQ3YDIkpBzMcGGkVpNEKkcjrJIZKn3xPpECvDota/yF37rr/Jf/P3/lN2w5MoZtFGoEAhe4n1GmUzo+/K5FSNSCqJP1PM5yTmCj2QyKiViKjE4lyJKad58+QssJo94fP45OQSskiQpy0TeWiZNQ7fr8XHkarnEmOI/SRkckappSG7EqghZEGJmbHtMSkQpUMIiBLx6vOCz1Y6mmRBEJA8lZul8z/OrRMiRpnIYobn6+BapFBeXm0LuiRFhJbWxxDHigeig6zsen61QJpHQOD8QQ7FoE0qkeTIr3obNtkNIVWJF+8i082UIp6Xl2cVTBInalP6PkmV7u9qt0Hr/78qCwPZ+5Or6CqsbchpYNIaQBH1MaJFRUZFFptEV91855enzJyQvcUNPM5vhRk+DYkCUKBOZQCSNRdY5mVZ0bqR3W5TO9F6ShSEbw6pbYwWMOTG6DhECowyIqNBSYWIqqEjvCQKsUezaHZqMrWqMsty7+xLnF8/x44ATHcMwYIxBT+a89uirrNeXXLdrvOv5B+9+xiZGtJ1zenjCGHq2m93//yf4/18O8WOXOTxYMGaPSgGpLDlFkh9RQvD4YsW6H0kx42PEmgofisX1aDpn13eFoZ1i2T9qhdKqxGOUYOi2zKczfBz5xkuv8PzFcy59i88SZSUmB3LyfHbRMp9qwq4FWfK5wQ3QVDTzGcfThov1LblPVM2EkYAfInenh5imous7ujaim5FJPUcmyTAMWBkZxoxUmmRjyWjJfU7NTonCFZRhTCRjyUKgdS5ioVDQT19788tMqpp3P/2cYRiBiigEd0/vEHPk+dVjYhRsw8im6yFFhDEsdx1jKOu+lDNJCKqqCF1uuoDzmameMCpPpQ3SarRz5FjWuNYURXKMjnGI7PyITLbYcn1P7zzSGIQurPTgA8dHC+bTCS/Ob/YSDIn3xZn0s7MdTS346svwe995g6vVjj9++zmfPX/G977/M253PcoaGhGZN1OWY+GkpyQIYqQyipCLulpqBa7oCHQWaFNYuUFkFiZz//CQ2+AxshzSKt1g7JSJ1SRvSXKC7yORyNBvinCsnjEOkYP5gtvtCjM6Ducn9DmQYtiLOgofWyqJlprFwQHr9SWr6zWTRnMhR3xKuDgiBk1TVUxnU5arW6IIDGMiJ8/YSaQWKFsK3QGohGYYAruwQhhLTh3rjUNNZmz9AEpiRFNY4pXGVorKCGwlmJ3MOH3llMnhjLyXtJx/dsny+YohJQYrMRMYhp5hJ9nSEWRZu+XOMdWSbrtlJlfMjhZoA2r/QovdltrOqIRENYnNdkBow8RKhpRwQuDbLVIKpLVF/EEuRVNfFOoqe3woBU4ffeFHE6mUxZqaLARIR86l9Id3pBgJ/VDso2NEhIStMnYyZdNvsZVGuJEUE6dHr3F4MOHJxWd85fXvcL35AGssDx89ZLVbcng040XXkZCMbii5x5CRORJTQcJppQpdxgcUAtlMyKnIUHo3AJ4cis5lu9mxW79PiAPKGMYAT6/WvHJsubpeEseBZ5ePaVKFNBUyu33B/YDg2kIQEAEjIzJlCBGhLd4NGKUxlWHIgRRj4VgrQ6DkLw/nh2QhEGpgt7klI1iur+mHLSJDHiOVtoyup2oqnOvxQRTEoIIYHNYYUpKMOMihHPRymXCx36KMKUCKhJjxccRo8DFglKTvRipr0UqTciAKcCESfDn4ywQiBRSaSXVUVuDdCqMMWhvGMaFFuaClwTGbzQh+h5Gi5JBFZgg9WlpyjFxvVgghUFqSfCJKxfVmidK6lJ6NJaZAYy1Jgx8Gwn56LLKgkrHEjIRAC4sPAVtZcJ6z55f4MFBXNd04FtOmEhwcHFAZyfPnHcYohjDQuZHaSC6WG97ZvUUzP+XR/QP6IbIdI+0wMIbA7dax6jQxN3TDQAiBMXjCODI1mpODBav1EjOd8ejhMe9++IRMwvkBKWzBLceA9gktS25bi0hOHlAoYxF5KA4R54hkbGOxtWG1XVHVC6LvEFaibUHW9v2IyhIrDWPKCFT57EtX9FRZIKTAh4ExOAQS6SMq58Izb6YMUbLdbWh0w2p5w3/xz/6QddeTRU0OPSnm4jPQCik0TT2lHTfoqsGPI2OIVJUp0brBIYVCxEiUJc+uqzlj6tlefIoIniTK5W6zdmiliSkUS/R0xm50+BQKE1wZeteBHsgZUvbkWDYOMWYenUy53dwSQuLO0R2iL3x1qQTTytC3KwQabSpiDDhX0NFb35V3spQIW5OCZxgHpFLIDOfPP+cf/5O/T7ftqZTh21/9bW6X1zy7fYKOga7rSaMvBdwsYZ8mcC4zrxYIE2m3K7SxdMOIz5LpZErXtxjVcHJwykv3HvL85jmilwQ/IiUcHt8hDgOrdoPa22s//+zHIA31ZIJKGeccr7z8Jl3fcX71GJEEo/dlcAfMJ0fMJ0es1885W20JY2BMjiQodJqxJ0mPlCOmmhJyRKWMyIZd5/ApYU2FEo7oHGra8NKjL3C9vGXsRkIWvP3J26BhMV2QU1eiKghqZamni3LRHEdEhn4YsLps/YMvl0ujVJnI+1gcAFqSTEUlFFpJ7KDRZIQqU/vROZq6JkoYYtFuvXK4wFaanz65ABKqNgxdx21bIBt+1LzyhTd48vR9xn5gYhuqyYLV9RNSlhwc3iEOhSbmx45NjEgs5EilK246T6M19x68xLOnHxCFoMrQDz2T2iKSAVl8BdKUYU9MgYggyP1nS1X4MNL1A934KbW1yJzRpiFZEKJQz7pdy3J1AWEkqch5X4ZhE9Gz2nrGcV9I/zfw619b9gSRzfYFkZYcR6SIzOaLPYNVse06NOUvUzUan8tUOYjMdrctZVc0fn9oaCaKGBO5ADNRJjN2I+TELz79mOvtBpc9yTnc4JjbGVVTWMa3y0u2vmXMpajohsAYI03TcO/gEIsiKV0Kg9GSI7RDx8tH9zman+JtJEmN9KIcaLJAyLqs740kCYHGkoHGJExoqRRUWaO1xmiJkZZGN2CmuJSRMvFbv/l1/sa//Zc5WCxASUgljrHte1bjgMHi9ppnZTTCSGxlqWRFU08hFxRVypngM13vERHunr7M0dERUji6saVttyjVMJ2eclhPiSkwuswQM14kDAmJo9Kev/HdL3N6sEAmSNGXIisN683AarliJLFxHcqWaAdaUleCytYkYXh0p+aNl49RzYQXF1t+/3s/4WozUOuGo4MjxlwiPkpDSn1BVAUI3qO05vpmSec82ShCTjTNDAvcmVh+59UH/PrLh/ixHHjabuRqu+ZqfcOTF8/pnOOlOy/x6mtfxWqLQDObP8J5RTU5RFjL0LfkANNmwaSelsycyGQkB0f3mUwOMMaybZcIEZksFKPwbLst3gumdU1IkX7Yst2uySkSYuGPkxMudAQCIQu6cSCPZeKPkvicqUWRmPXJ0e1WONdTSYmVgkrCRCmm2jKZGl751st85be/Qq0Nw9ktw7MSC/ryd7/EV373y0ymFXWtmWjNdDbBVg2bzY7lagWxL1PeBEk2vNhd8NHnH7Br24JjCwmNYhw39Mkxn9yjrhqUkHT9QIhDESblMh3XRtDMJhwvjjk6POUbb34dnyNJNOSgODk8QYsaVEJqSWUbQgy0bUv0FHpTlERXOgFWaawyxLFw+4fRk3xXRpw+k7JESUvfbrhdrhFS8e4HP8fHLTk7fvHWj2i3W1arJTkLQhClhJQLt93oIipBWXwuxeB+O+C8Q2eB9OWAK6Tdy9HKpEykjBCJ2tqy0iWy7nb84U8+Y5oajqzl/Q/+G374zj/FuaFISUSmG1YMuWc6b3h47x4pJbpuoLITtFHYSqNsuTwRBTFLtK6ZT2YIAJVpw45du2R9ew17HKfbrpAhIwl4HwmpK12DKInZUFm9f7iXqNDgRrLwVLUlZMk4+jIg82UCF6LHGItPIyI6dA579nWZPEujyuZUJ6QEowQzW2GqYrJUSjFQEH/r7RXtsOXRnRNmk4ZxGBExEEdHzGUz0I+O7Xbcl94EOidMFhjhUTqSBOToIefC98+R4DyL+oBGNWgpkdoQcpkuNqYqBDASErGPURV5ktYWI1S5oIjE6AYG7xhTwlSmfM8zrJdrnp+9IApRLpdCsl57Xr5/jIiZO8dT+n7J7XLH9WbJruu5Wq642XZsB8H1uuN6teJ2vWL0heYzxoHASGUlVki63TXHc8HljUfJCfPJomSZc1Gut74l5haRYynSy5qmWZQiIJphKEZPgHa3o9sNqBQZw0DnIsEJQpBUek5TzUnAGBxJpDIZFBqhCmTBJUdWiovdiqg8xlb4XGJQEslksuDl+6fcO5iApkQrtx3OJfJeyIRSYCrm02Pq2SGBhOsH/DiUGIMpGx8fIimXCW/AMQYYkSyOT/AUepHQmuhjyQnL8tw0SmJlxRAzUktSSsSUEFmVKavIzI3lsK4hOLKHMUaubtsSYfMSNyS6XYdRJVZz7/SQw9m8TNrzULoCtQX+LBoWEbZs7f/MCquVxFSarl1yffucJCR9gGeXT9ht13zra1/h7skJWhuMNUwbS11RyCRZoRvLdn2NCw5pCsXKaMt8foe6XiByJoQdb334S9755G3a3RKyRFUT3OjYrm7o+7YU5wWI4DBorFD8e3/9d/mLv/0NFIKn50/xwaH23wGBQguJQNDtdmy2l/zeVx7xpVfuU8saGR2nswlZRGJO9B0ICr7UjYqca2bVlO2uBSVZLI4hlc7dF199jf/Rf/Qf8vDeHZIMHB9MqRT4FLm+vcKFkZiK9yJrycsvvYysLMrKEnGSugjsEGhdU9uKRjWAQBiFUKWw2283XK9uGIaWEBwCuHt0B6WLKFQIcINHpYTB8NHlLW+dv8BUFVEKwuCRQtJ3K243S+ZTy4kdaGqDVBopE+O4xZqaRVPzyqP7TKsa7xxKC4zOoAKSvHeARIZxhxh3mEpiZNk2VbbGuUT0gZQSRmtEzkgh0cagRcnm5xiRRiKBqiqdjsH1SCUYug0+OGII6DRgTUBXkoPFnEVzSGOKkdq7Ih/z0SP+vBGTKIERGe8HpBKMISH6HpHBZY+NGWEKnSMFTxQZr2SZ0IhEzo4w9FQSHt494fTufT56/IytH0kjWGtYLCrunxzw6dkFzWRGaDuUlcQo6FyPZ9zj14r+Vodya6pri8gQfeC9508YQkARyT6V3HU9Y36w4GJzQ+t6pCjrayMjPhuEkoQMBokWRQ0uhSj5baHKA09EkpGIqDAyQzKkXJBhdW7IOH757ge8+97nrFctyipykJAH2r6n96EgGK0i+ojOGknN2Pd7w1cAkWgqgxSWHEoZhgzjuCWIUjILJpMjpDwUQ2DyBKkwUlFrRRclKQu0NlRW8tmzFdvWM/pAJUtTPCoJITC0JRQwn0wIDlJIHJ0esd7elrV2B2eXHV4klICNHzmYHnJgLevVNbPJA+688ibL1TWfnr2HzNBUtpS0VGGfEwyt2yGNopKatk9kP9JUgbfOr7njZrS9Z+yWTGZ3EdLv83qKkAK340jwEYQgxoQb14jcsdnestkpNBKha55ePEUoir21asgRrtbn6Gw4Pp6y3g5MKksYY1lty6K6pjZE4VDZ0KaiANdWoaRi0sxQApzMdINHWcvJ5IhvvP4KN+sNz9Zrgh8Ywwg6F2GKNgiZaQxl+m7B1pqHX3vIyZ1jrt99yiRLZkoSIwwXGy6e3jL/4n3e/Itf4mffe4/aa6SKiMEzDglrwIeIqifE4BmjoxEJrwxVpSFIIsVQmqOgHxyX/pZ5U9EPocRisqC2hphLQdvmzJ2TE8aupxt2XC5fUJmak/l9Vuvb8vJtGuIQSTHTuo7D0wl+59m1PXUN82bC4HoAQkoE78hKU8uaupnjxRoRMsPYkRHorFj5a9IgaJpZoV+EiMrlwjudWnbbHrFHwglRURuL8x5EQcAKYbCV5nRS8erpMd///JzKTDi9e8jZ9S2DDOiokHqCqCD7yBgijaxoKknrI6MP1M2UXFXkWhE2HeypvVHmUjzatWhb0263KJlKeQuFqSv6cQBV4WOisoa+H8lkOueocMwaTd9K5mpGawcSgTD6gq6TGmKhy0iV9xg/z7SZls9PyJDLlo1UIjsxBnTWBO+pjCZ5kEiQJYfOGFGkEmkRBb+qRdlyqpRLdyFnunGgkZbGaFxfNiMYw1dfeY2D+RFvvf9Teq94/OyMkBxCaqbTQ8KwQ9UVJmsQgpwF23aH1pasIMdEiKIIm3Kh1uA8pq5wZIypyuRJGHxsEUQiqnDzdTFQ55wQe4U8e5JRiJ7poiaPiVXqIUNtJ4gEQ9+jtUE3FW7oCRSTI7Ii5Yp3Ptvy2986pd1Z/vJX7/D3/tuPWC1vMJXnZD7hRW2Zz+a8dO8u5MgwjrRdx3q3o+sdwWeccAxuIObE0dxw59ByscoIlUsmG8nh4gglItt1i0CCKLQMdOb+/YdcXF3jfI+QxeTabXfsWauEmEiDYz49wY9LjhZzUjL4foMxmpAzkmK+zWSii1ilSLl8bioBVir6/eYqeU/OidXNFd84uUszqfllu+Ebr5zy0lHDP/nJY4o5x5JSompqRh8YU6Tr1qSYqY2BWFCxGcHoR7Qu8TWFQKtIzAOuW3FazdjFLet+IGVBbTRKasaxx1QV1dQgQqb15XOpVSn0531p9MHJKUjFEM8QJJKSfPr8nJQLved246m0QogSqX36/BylJCFmFBIhBTElbGUZB08zm4DIHDULtuOKcXRIrct7wzlyLvFTIRIfP/+ASlZs39nRx55h6NBSoL1C1ZqI53Cx4Ga5RGTFYrFguWrxLiNjZmjXDEDKAWstMUaenD+jHXYoK4hDufjoFIhJI8YysT6aHbDtttQm0KiMnR3iciaOa9pug5YQYyLGjFYUEZeA47tH3D08INzcEIVD6gkBse9xKZTMjIMHFUhZk0bPTu1jOa5nlW/4wsMvcH55xsXFDb//x/+Cy6slRLi6uebRyUNM8HR9R9i5ssEQGR8cH37yfiHmGKhNKdjnrFBSo4SijwM+eGbTKe3QoVImhISVCrShHcp31yvFSy+9xur9d9BqIKXAxIDMIwJLkBnvEyhH9hFBIqCoMARZiEPvPn5CIoEv6O5qojmaTOjGlk8//4RudNS1LXFMXcq0IY2E6JnUDTl5nl88JcpMyKV6rmVGVRpLJGNo/Yg2ElMrUgRkxkhbNqVDx9TWnEyP+Pz6gum8mKXT+gZ8IKKIQnB584yh76kXBwzjgA+JkMvAz2ARItLnP+dDvIwaLxJRpFJ8sRY3eLSAIUucTIgIU1MX9fK+sBFSKivxLGhkwpN4sdlx3j4n+RGXYrlFx8im3SKJnEyOefnlV/nROz9F64r5RLHq2kIEkBktFbOmIbuWLCPOl3JPFwN9O5BSRMjCfNVkfvPr32bd91xcPid6ibYV1EXqJHVmZifEMFA3GWkESWqsKPruEuQr5BipDJXSpDwwypKdVVljtKFzgcdPzmldzzgEshLUdc3QBxQwP75PSrDbXJOqEZFkeUB7RT8OKKtKTyBHrIZsLbHPBfMWtuhQDF+n82OicCz7HukjWVtUojCdlUbJiMsDjZkgdcOHl7ckItOmxmRFA5zMK4yI+JC5bT2Di6QsODq+z223oe0cMYwcmYw18LVXH/CLT3subgOr7YqTyTEZwVRpQrdmN+zQwiBFQGuLtgbX7QpLVYCQmZlpCG6kEhIzOyKNHRtpWDQvE8SKGB2zek7fX5dJuIAxRfzNJVZBpabMZ3dYby/ZdR1oQegHrBHEKMqDHkP0niQTUiZqpfHes1uuETmy2W3KoZfEmCxWgQuJ+fSUFCO7boPZI5icF9QEfuPVB/zw8TkyBZIXOBuZqClHX34F/8mn+N1zFrLi0pfuh5EVgtKsr3WFrSWLe3PufeGU27eec1jVLKYVldGEENl0DrEduP3wGXe/+SovfeEuz997zugl0fUQOmpTo60hy5rtdofNnrouUYgcM9mC6DJaZ6IQ3Lv7KiIOrFbXYCRTvWDstoiUmFnL6ANDSjw9u6Qf1lRK07Yjtp7w4vJzptMDiJnsBozUhBwQApY3uyLnaRa46BhdLG17W3Hn+D4X1+f0YSCpyHRa8eKmlKeUMXgXkCJjAVFVZN+RhEAmUaQiPjCMuSBEUcwnC+aLO6Rhx2pzW/BnWRNyJDsIleV6N2C1xkjB/dP7tO3AuN0gjEQIyWxyRNstqQr8iJgSEMguk6rMrVO8WLcFBafMftsw4PxIFpqYBY2uuV1vkFkipaXPHhd66tkxCgmuRwiJlAkpIDjPtJpBo/jy699mce8ub7/9PS4vLlGWMk11AmUkIsLR7JDBe6ZKs0uRNgyEWKR2WmtCTqQEY/Aoa3AhoJQo0yVdOM0pW5QF/EAICZklVosScSATkwTpOV1UPDw94sPHLwgpl4tJTuTg6XYbhuBI+8uzEAIrI6PbEoVmbo6JbkNyI6/cvcfZzQU7PzJtLMMmYI2lDw6lNLaqymUzBUQGQ8L5DVJbjFYIaZjVh4TY0+42CKWwWpJ9QmsNSuFHhzSKg5MTLs4v0KKg75CiXE5EmaBFnwsFRIkSocuelOCHb1/xV37rLmdXz/jhVGPmM67Prql2movlElUZktRs247D+ZxMoms7rm9XbLqRKCyDHwvjHck332h4erHi2eUtIWqUsXzrW98hes277/8QUSkyGS3qUvC1Ux689DKXy2XpPsVI15UIiU8BHTW1qcgKvOtIIbJer3CAlqBFYjG9gxtaRtciVIVWBokjuVCiI0ax7QqkQeYSRxECkPDTz1cgHa89+ipfuF/z4MBTa0GbHDmAINLuI16vPTplcf8Bbz+5LAVkaaiUoOsGrLHElJlMapwr9LnDpuavfemLzJrML54846effUpIRQznVQavSN5h6ikuZnL2NLYpAyk/oowh+sjji/Nio0UhpOYbb3yJ3dbx5OIJ/dhyNJugYmJMCV1V9GOgd57aWmKIxCBKB42KyeGUo6P7JastB4blQKWmSGXYra9B7NHGOSCFKkM6IbnZrVDJU2mBFobFYspLLx3w8bMXXN3ekEOkmdUs12tcF5g2DfOpovM9uyGRlSGLQqbphrbQ6oLeP1MsWckS+xMSYw1RlO1Z20b+X//4jzicLQi5xNlQpYOihALhMdnQE5kYzSuvfolf3l7y+PE1wtacLA65vL1iMlvQ78ozyIWBqZrA2LENjkgkB0VlJ6SYuN0sGbzjfHXJbXvL6IrhPqK52t5yfHQXpQRtd4uQFYEymbbR42Uia83Yl1giUhJ9QtqMQiD2QAqbYFEJbqNGKssQe3xIWK3oh4Gf/fKHv3qGxZwQQjPmANnRVJMSw4s9Xpb+pBalR1LJhtocUB9q1lcXVLXllXsL/qN/+5v84Y8+4I9+ckuI8VeTdNvMOT56yGZzwXI8KzHQVAAFjrQ3vwrspHhthrEv5zmVMUrivMfHXIbQKlLZCVZP6YaeMUaudxuk0tw7fMTl+gUuQUJQKY0RomwCbEPVHLDdrcuZpmqIFGStlnm/efxzPMTPakvrBmpVMWlm7No1whZBzlxXRJ/IIqJ1Vex7MaMM1JVi27ZYbRh8KC+x0ZXiCAJtLTkVhJQQCTkABJafOoahZXQjgzWQI7rRaFsx7DqykGQEwxCJJHLI+J0vaMAMOUaEKRuDF1cvePMLr3F2cY42iqPplCgzg09YKeljz2wyJUlQJMx+c2+0QoiSPxSqHBRlDuSgsDkjhMCkcqkRWeJSQkuLEwmVAikrproiaBjoCX0ihARaM69ntGNHUxkECWEkrk8IZdjsOqSQHByc4tyAix1GwpfvnvLqo9c4W615/+oahaYftgxdhzRFqmBqjRqLca3vt2irUUIjc2mIn04rfvfhIb/9hRPeu9nwj945p28dAbfHmiUEGpcCHTV/8O41H10HVrse/EglDc+unyMSfHT+mLoybIfC6hVZI6QhJEgx0VQTxnGDkJrWdygDVRjYdvuL1gbW65/vP9CR29VnSJEg10SRiHEs/OqqJoue1fKcrAWIXKaCJqK0Kl2CFBBKQUok6VFWo3LBkwUtMalYN0KQVEbh/YDSDSophAK3a5nXNZU13C43JCJRCH56Vg7C86rCubJyfO9mjbo6Y7m8ZDGpWNLjhURTo2WFJBLQeKWwQnH00gnti3Wx7TWGk4OG+aTB+4SwLT4GnLPcfnLBy196iRefvCDvHFJIptOaWsxwo+N6fYtImSQ1u9FjcsZWR9y584izy0/Y9i1IiZQCU81phpEkE6vNCq0VWSQ6l6iNKVQKAlaZ8qBMitzvaFSRXbVtRzt2zI2hMZZtcgSXqKsaYzR9GBljKVF0LnNxfcHgBqpqQcZxu71G5kjICiMMSWR0U5WYlZAko3DDgJIGY6bYSrDcbAqXWUiGrqXti3E1BQgxU9kKcrE/tjETnCTFUs58+9NP6MZATgoXBqpqgs6FciUlZCWROaOCJkjHut3x9qcfkMggEoMPvHH/LipN+PjZM6w2GFNRUS7ZIRc2fHah5O3HlqquGfxAZS1JeEbfo4VlvRvwOfLLj35MfX7Cen2DL7YL5s2E2tQ4t8H5kc2w4ze//iV+8ytf4w9/+BYffv4YlQTBhRJRUBIra8bYo8gYaxAxEaTAjZmM5pVHb+L8lvOLJ0SRaLQoKFo9IcqIH9bUxpIGuL5c4saRmMvnRFeaj59/Tjc6tC4HYSUFLibqyZSh3aLILG+f74cynqEbqKQkVprgCqlB6xoVC2JNVBO8GxBjLsU3KZFC8+j+69zePqUyiemkYVgFQj1lcK4MTHQpWkdiOWS5xNnn58wPjmn9Gi0CPgvyXrWeR0djVZHh+YyVkjEFZJY8vdjxyw9v+L3fuMM/+VdP0Qp8huW6RSpDDALfZ2JI3K5vSxdq8Cy3G5CK1165z/OLSz779IwQB/7dv/o6/5f/x7skXyRaVgjGtqNdd4zOl78nXeFiXxCg48j3vvf7KCWYL2pciLghoKoK7z3UBfMq/UjMPaqy5bA1DAVhlxOp3XB654j1KjGb3sHUM66vPqKeT/A+kJFYKenGjulsymLyMskNrNoVQmdkspj5nB98+IR2s6IfPHL//22aOZ0fcWPHtLaYVCAOORW0QsiSw6MTuq7F1Au+8urLfPzkUzrXsdy1/PMP3ubV+6+im/uI/JTpxDAODuEjVjekNDD0jtGXy62PvnRwcsSYCdoeEkOHDz0xloP1ex+8z3x+B8goAd4PbHzEOY8JgTgmkMU6PZ00+M4xn89oh45X7r7K7/7W32J2fMT3/vQfc719CzFEhr5Fy2Zf+vbUGO6d3uHJ9S1JSeLoStY5l4HVG6dz/vZ/5zf5u//85/zo7U/BiPLckArVGH7riw/57pfv8C/ffcyP3zvHyIraTrGVYbvtqOuabXdFKoxtZJIgNcoqetcTkiP6gNYGN2ZW2RN8QABR7C8l0VNVGp8iUsAQR558+gl9imyGgFKZ69tbjFDoHNFaFAu0EQxuQCtZvr9VEWndv3ePrmtxMpFzGTyGNmINICtijgxj4PnZ59STOdPJjMXBPTarG7ZhQ589KWfoi/gr5mLyJSYqZam0BikYxoEKhY7lfbwLfSGXKUt05WdOPpavudRYBb2DJAzSJAIgQyiHYGsYRofVhcwlBHzzm9/gu9/9Fv/VP/qHPH/8Ge3YcrvesW17tNEoqWj7EWUbBu94dvkBoR8L/S5LsnUYYZg0lu1uICbNRE8xyiNz2G8LBaMLqEqhrIQhgRfoCrqYiBQSVPQ9WiuenL+Plg0pUbZrMhJ8pJbFDHt+9hmQ0EYR4ohGo7RESAXe82/iFP+vj5iUxUyKLXZRKQtB4HBxzNiP2FrS9y3d7oZKQ1SicHSdRyEJMVIIuQmhJDJKSJGYC6EEEalqDVIyOk/nbzFGIiwFpi+AYaCpF/TCIy1MVINiAgE22+sinqoy0RXV8XQ2I7WJeT3h/OyqrK2rinZoqSaWlDVZ6lL8shNkylQyIoRGSPYc01KqyUqUXK+oEULsp/iOl63mxXoocZgM0WusLrikdohkoZlKiY6eG7/DE3A+IVJLFhmVSo4xBUFlLEpptpTJda3LhDQmT9aGMcLPP/6U875jqhqQ5WBgjEHpGh96wpAwckqiI6eR7DMuZ2ZWkUgsmoq//OZd/uZf+jI//vCcnz674rZ3WFWR/Y5JpfCVJslM7z2fXqzY7kbGPiJyIqdI1Viyg64f6ceegEOLQv6JfYtRpQzatR0RiYgZA4WQIhUpjgQRmRhL30dSTEghkEIjpCRHRwoJIyx5b7vsfSK4jigkQohS6lHVXrQwIJVEChA5kpwiJkha/Yq6sBs89axGpkhd1UQXiDkQY2TsI9W0JseMrg8QpuVkUnHQzFk5j5KmxMGSw4aB8+fvU0mFrizLfsA0FTNlSdHhY0ejGrIMGBwyNtTzmv75DXMlqWvLycGMhw9OWe86Ou9olWQtJcPOcdwYkspI6dAaQjKsb9bUpubk6A6XL85BSBKZkDITqYtXoB+x0XB4vGC9fEGtDHY652tf/RpPPvuQ5y+uiENLEqCzZCBRTSaELiBVxVxVBD+USwAKychB0zBtGnweqKIGnTA6Ife40pAGjIQQHX0OGKOQecR7T59EyfylSPKZ2mju3bnH7eYG70phtq5mkMszIUdJTiWqMPjIvD7AZY+PPYKMjw6REpPJEUO7Y0yBHMsU3QkByRPDgFKSMSS6OJDdNTEXfGGOGefLhq6xtnQnckIKTRICo2C92yBToNKKGD1DuyYYgzASlUDJhBtHqmZC01ScHB9y7T0hZrohY5RGalPM0TEzuI71xapwbIREKIvzguPDQ9YbAdpxcnLAgzunfOPLr/Pe0895/6NS0FMIVGXph46sBBNT0YWBaT1j065RxpARyAzbzQ3BDxgtCEOkHQIiK4TYYa1CCEnvE72L6DFQ11NiTgXdGRJ97EgSTg/uo6VlvelILH9Fe1lUM9qwQ2lNjoKz1RXGaHI26JgR2dG5DqEtIieGri+xhQTHxycYZQnJ8hd+52/wgx/8Af3qCePQs+43KNswnU7p2g3HB8f044BPkBpPGkqvod9tQSaSkBitkQlMVfOb3/oGwXl+9s675V0TAKFJIeCz5J/9YMn/8n/yZd7+ZM0HjzuST/he4HxiuWy5uVlzvVxx52iKxJJF3AujGr782kMuLjo8Hf+Dv/mI9z664ellxIgycR9C4ma1oks7fPYs6nuMbkdMkcPjQ9rdDqUyE20RSTF2HSpDEKlcKIaeumlQjUXJCSTNbHbION4WDnYc0EZye7sCH9n4K7La4UcgeLJSBJ2IY0IgYBhpDhS7ZBA54MayqXn3nR+WCXkI6LpiamfYheHq+hKXoK4nfHZ+i3e+RKMoKFzbNLjelaGTWPL2hyuUKN+dznVcrNb046fUpkZosccbh33LLhKDQshIpkTapEyMOaNVicNO5hOW6y3SaAQOLQoQox2XhDCShMQHTV1NkNpBkCQdmFaSO1PLVTtQV5pFJeidYTo95mu/+Zd4+PAVnj7/jM3unGdPnuN8jzW2IH2T5KXDKb/x6htc71o27Y6Tg2OOjhd8/tln7AbH01XPH/zph5yd7Zg1UwY/MLoOYsvd04a/8e1TvvTwgPfPDsjiBcYYhrHfexdKRIpQnivCiFIGJiGEQRqLdyNK6fLf+YGJWVA3c4iexqiSRhCCnBTGKDIGKzXDpmc17FBSInLExRHnPKJVVNaiBOQA1laFLCMU4z5O3HUb2r6jthMenb7ExeoFiIRVhunpHa6uXpAFRAH1xHKzdqTtBmUMqivG7pOjI4ZhRCnL6EZkLmfC3RgwWuwdDYqexBABqcgyoqPESE1uJnjf4ilDpBgyXYrFRoxGBQVqLD+HkIQxIKXFJ8dEV8Qs+PTxpwRGbtY7mukRPs34O3//x/jY0nWhlJIJtO0lImlSiuU5Kcow1adiwSX1GCHIIpNdYBdachzQpi6DtSTIXpD3cRdV19zutiSRKdqtYgSWUuJDZDqbIF3Gj54Yekxjy6YCj2lqhKeQCjXkGIoALLOPPv45HuJDyqi6wftIij2yKmzZmIpcSRpBFLG8RMeAkJLoBZOmKoU3AiFkjCoItJQck8binCD5hJAWY2u+9sWv8Mv33yX6wHSm8RE0mu988XW6buDH738KUrPeBDpdbsEiZiZqxpgGxnZLbWsO6gWD89w9vMOvvfQ6f/DzH+ClpxtAVwrZJmxjaKRAJEV05SVlmpqQy4bAKolVe4U5ZQVHzgidSKFmjJKL3uNEg9GKMEpkBmE02ikqPZbqglFo59AIohAsTEXyAZ8C08NDcltWewDRdUxsg7UNveuRFqQ37Hzi3ctzjGpIWXK9vWQymRBSRFlDToGUS28hSc+8WbDtV0iRUaSiK1aatU98eN3yyuMXfHS+RqIxStLFSMwjPil8zKisMEoyNRNu+kgKE/ro6cYlRmo658pnIGs0pmTHEiADKZec69HBlM4V0k6/69BGsOk7ZC7F3uRjYfxCIf9IjYuh/Iw6oSuL6zuSUMUtYDQySbSxuOzKITHLfZFKM/piLNRKoY1iz71CK4NW1xjAR1leqolCdJAgM8iYcSlwe3WGlpKvvfIqKQv89Rlfe/Mlbm52fHp2RRxHogCyII4BU9WMnaOaGurJDINiVJlpVsRYogxCKGIsV9i8x6IpJVCm9J//zGRXwJbFEmiVwRnD3FastrfUFszsgKW8ZloLWpc4mMyZ1RWfPP8YKQtXXxqDrWp2uw0n05o3XjllXg+8WN7gPMQsGYJHKE3XbjAoBt/hfA/7SVAiMZtU3FlYvvXaPbow8qNPrrm6WdOOkSFsSTGi93jAHDLWVsyqKQhFDltCHBBCAQmlTZFitCOVnjOMa/I4giqDARclMgaQBemotaJ1OzLF/CxluYylXAYFKTssmhwiImmkVTi3QxoLBCosSoMfHBlFsoJJVdGlESEFOSaygLpp6PoBksIazXqzLpr4GKmrKTE4QhiQSlPVNYrA4bRmtXWsV57taoMxDTGPaK04PbnD7/xbf5E//Of/jNW6I2aNUeW5EZNHm1Kiv3d6h5QCfWfp2pZPzq/4gz/9IcvbFVqpwhbXihg8xqpCNUmFZ+5cQllLHEaMtWhZSoi7rjgf1D53GWJ5GeaUsMYipMT5iNKGqplys7wozoNQLhhGZra7nqPFhJAH9J4hL1XCE8gaEIFaGkYZ0ULindsPc0rEMWWPzJIki7hGWMPi4IiJaYiy5ktf/Drvv/MDXpx3DGFEW01wHc5p7tx9ia7dElIkpkLqMromCjg8PcG3G8ahRyZFygKJ5qV797n78GUwR/z0598nyZ4YInZvzNx6y3/+Tz7hf/a3v8n/9v/2Np8+26F1BcETlOX5xQ1Xqx2N9jRmRi8SIhW03dObNaHv+Zu/fchLdxv+zn/+Of/ON17lp5+f8/FyKGVrG4jLjnk1JYWBB43l5HjOStWILFjvVrTjgK1nHB/d5eT4mLOzz3HZYY3EaIl3nmQaqonl8vasZL1jQmKAikkFLg84HNEPZYBkLNE7Dg8P2YQNIma8gKvlOVJrlC6Dtso2jGMP0RTbMwKVB5z0kCUWCkljSFilcN6jTcLnQJMz06nCBcW0sfjgcRFy8mgrUCgG5+nHlhQEvetISiKFYvARrQxKZyqt6Dah4FFd4f774NitzwpEIksmzQyRBdthh0aXLtjoobY09oDcXRLziK0UjdL89/6tb/Lus0t+/2cfMgpJEomL5QU//tmPeP3sM9brJ1ze3DCOPdlKxlh6QDlHzjY7/uCttxhGR1YCbSv8kNAIsJZV1/O9Xz5h4/tSOBeKLEElOLFHtKPip89a3vn8Eh8zcewxRpU8Opmqsrx8/x4vlitCToWUJhVt51CAaTQpZA7rirXIRODo8C6rq2clvaAUSpaBIalcjLS26LrEZmuh2exaSMUSHQXE7MsgTEpkwYlg95hv7zy71NK5EZIm+OtCwgoKnyKXl5dYLXj5lS/w9PPHrJe3CATtqt/7A3LpRvQDXmaSSOX9V4oa/BkoKw0OqSXCGlwCRkdOCUyRG/2Vv/o3eefdt3n8ybv7iXcoW0VKwVXkDDHipYCsCAmqpqHvN+ip5Qv3HvDk7BnnN0/JQxkY6Uqx6bbcv/eAOF7skxCafa0GVCZ4h8wSIQsquJxaEy5mpFZ0boOyESUbnA9oBQpJlgKVJEIlhrEv7xpVkKlKN8QY6foeYyqWmysqbWmswFYTNkHgvUdLCD5xcnDMzfKK4Ea01sXr4Vy5fP8b+CVy/tdL13/jy19lCIJ29KSuRapMkol2u2XSHBQpgm+pjGY+P+Ly8gKZBVrBX/zt3+V2veH9xx+TfJEySGV5+fSEEODF9Qu8TBhqFkfH+HZN33c8fHSX9bojuMzrDx7y4vaK1nUczw84v71hMjnk9OA+F7fPkKlMBJERqQxKW4SC5OHu5ICNDxgbSS4xmVpmzYLKToi6Q8sGq0uLvdaWSVVhjN43mDVK2yJcyKp8QPZmWu9LSdKFyOg9YW/EHIcO5yNj9MQh7rXDCtd7lsslVT1By5GdH7DKstptuHf4gM6X0pAMA0IYSJHejYQk0PsHqcylgFobVfKVmbLm9p6UPXMzZQgjtZ0U8+VepJIoLw0hI28spsxqy47I2c2GZetQUhMoohthoBKK+eKARCLmRNM8ZLk7J4090/qAkUwYWxSw222IUmGEJGZPyJm5tdw7PODJTZnMh5BZHJ4wjDuGYVOQVDGRYkaKjMuJqjL4RDnopkyyAhUld46PeLG6JvpQcnjKomQuOWmjMFoVtu8wkGXGIsnWMLQjUmhsXZFjIJXZZeEcD2ORpBDJASqdiFlAAqklp/MZv/WtN+i6gb/1V77L9372Gf/0+z9Fk9FGMI4RYSbcOTql92ugvGDmkxplNYfTmvunR4gc+cpf+QqmHzEbz53jKfdPFhzOJ3TOcXPTcb7cslxu6SrB8ZsP+fF/+WM23cBuN7DpOrZdS4qCnBNj63A5sh4GGqGZTiesdy1SRYxcoK1k7Le048BscYSpDO3mlmGM7IH3iAxVY1kczlhvynQiZV3Wq6OjsoZM5i9+5QH/8//4r7IZPf+7/+d/yw/f/YSEIoZETJGmmhC8JxA4Xdyn91tC9uRUMYwtVll8GEtfQWt88Lz+xqvc3tywWW7IIhY8nhSIVEhWIQSsqUlxQEizN+kBCLRWKFmY+EqV9kIGSJIIHCwOGbqWmdXs4kBOmoPplFpbbvstvu/IKRNEQGSBNroYPtEI6XFRMNENQxgLT7/bkZE4H7B1xVfuzvndb32Bv/cvP2S1a8uDPgtCcChjmC3uMm+mDH7JdrOh68YigMpgjSHvZSKTekrXtiQtOJwv+OYbX+Ozi+fcLi/QKbLeDVTWEAKMZETOJJmZVhYlDW3XUiuLi+VF2TQTQg74VBBnOWVElkApoNlaQQLXOaQGKQwxR2RdEfoRKSQpx1I0NRafIyILBBKlixypSyNEQdj/s8Y2xOhouxarKqTW9EO3xwhKfAjlQCks2lqODu/iR8/o12zaLSEGtBDYyiCk5fj4PqvVBYNzpOiZ6BpkoRFXyjKbTYnO7eMqDa7bIm3D17/5G7jg+MXPf0QKZZM0m85w40hGEMaR3/vWIf/D/+6X+b///Y945/FI7wKHB0d7appnMbV4L3CpmFvT4Dk+svyP/9brHB4q/vf/2Qcc3/sic3fD1bYnV8fcrm9pbGLse3wWTLXhP/7um3z3pTv8r/7xj/jwdklWCg1Mqpo33vw6X3z0EsvbF/zxz36Ej45aV4wu7rPBheiltf7VIcLIjLI18+aEq/UZkEBYcvRYIXAxED2YSiKNYVLNefPl1/jwyQdsdy3/X97+7Oe6NL3Pw65nXMPe+x2/qb6ah67qbjab3ZxEUZSlyJIsyYkVOxECIwgCJMhR/oAEQY6CBHGOMsAIIMcBAiURDUVyJNsyRZOSKE7dZM9dY9f4zcM77nGt9cw5eDb70GBggXXUjUJXf/W+e6/1PPf9+13X4fyQ4BxaGO7cvcuT8ydst0uMUhSpSN5VqaJShJT3BWNZHQIpU1JAyoLRFm0rPvNP8J8iJYQy7Dbrnx4ejdaE/fc5l4CIAmlEZYOIWFXzKSERtE2DSxEhCo3piTmS3EABtDWImBBopO0Az/HM8vXXT/nexxd86eZNXj82/PGnD3ns5D52Jrh981Veu3XK+fqKz548xO+2HPY9UinW44SQtTt3ND9iCpHdblWJTbZlHAZs03F6cgwhcLW8JiuLoJBKoO0P6JHc7KDYhnvnK2IO+6GAhODIwNHREV//ypu8//l9rpfXxClhW0PfzVmtrlBa7o2vNa7rY0RZi5GFvjlk7dYcHfV8/UvvcP/eE+4/frLfJiqyhDdfucvN02N+/ONP0bZGd4ftitYaYsikDG1r8c6jlSDnwgvHJ+ySYLVZoW3h+OgGRs3JYuLq+hqFoO9mXK0vyakg0OTgSaJKuEouyJzr81JkSsykWAePRUDTyCpbLAmkJufKlicFDmYLXMq88sbXyWHg8aOPq/+nbSkFGt2QZalnp93Aou3pe42RhespQCNIY+akm9FpU2O+0w6f6jsoCFCyQetayA4xU4qgqEgMAYFBK0Fbf9HE7PBuotDUvpYSdcuXCkrVaPPx6YLVckuIFegRUqhDkVQjQU13WJMZzqObBre95nBu+Z/+lW+yGR1///c/Res5soxc+w0dtcsVYy2kK9uRxoGdn8jlvz5P86c5nv+pJ/H/k//B/wxrLf/4t3+bH//g9yEnvNE0uuHNl3+eJ2efcD7W8pLGVEsXEt1ahBHYplITiLke7rXlwbMz3jq9Q6MMPjiiimyXV7XcrwzLa8cUCrthyY/v7Wi7nhIzq9WWxhi8H3l2dQ9ELfRVg16dhqcYsKbBpx3Pt4HWzjC6IbeqsmqTrIdQZTg0EqsVQhl009YXl7FVl6srD1uKAuhqlESDUGjlQHiSyBgkqmgEdWUvrUaUFs+WTvQs+oYnj59y6+SUnZvYuMTi8AZpnJjN+so/Nj1Gdzg/sJl2kArGtDWPFiqLOhewGkQjK5Mbg0CipaRbnEIELSr3uwhB2pMMssgo2+AjPJgUbrlGS4HIVOKBFoghESW0QtZJUWtYjzu2G880PMUzoYUgRIdPCTdNNEZim4a2PaSbG67Oz7BFkDA8v9pQRK4fXgFKGhpTc7bF1sNTjA5TmXxkYznoKx9/uxnBgSdzfnlRLZpZsAfQ/LQwq43iy2+/zsNnzyg5VxKIMNiYaGyD0AorDD7XKFVIksmPtFojZYOPI8IqcgoIXe2uhMzK7fj2B19gM6TwLZ4tl5Qy4TMUafcaac/kNxjdsN1tEUqjjWDe1CnlZruj7xTPvnjKO998i/XVIzY7hxRrNrtqYN2OI957AnDj5Ts8v39ZLyolErOHIjDJkkpkCglpFY1Z0IktyWfGKQCSkCOmKZwcH/J0u0aQmTZr1tdVeCREISNBaaBGrK43W8IYazRJZ0SxDDERVaYXmuebgXc/f4oUCT952m7G5BLGKlwYKSVx4+aLXC3PWe9WIEWVuYmIKJksPULXOMfp0TFKCJ48f4bwEVEi7A/uolRDpVAGnQtaalA9k9sBEms6Sq7RnCALSUhIAmsbssxMuwGkYNhe03cHbKZt1X7EzFVItI2kMYIAZF0wVBtvSAlyfRbFLOj7HqssbrVlu11W4pWoE8XoJ+6voLt3zuj8PjpXi11SCl64cZOvvPUm735yn2++9SqPHj/lg0dPAYn6qQRWcePOHb7y9ld4//33ubx4xnK54nvvfZ+pVMTichrrNDvXX9Vhe4uDfsbZ8jF3bhxTjCU/zfSmQSfNMEyVD19ytZ2mSJwiWkuMUsScGXbup4zuDHvJTnVvaFW588IadrsNlIwsiuPTOxzOWi4vnteISTbk7NAaVBFMweOnoUbNhPxpxFIJMBSiqnOmGEdizpxdnpHTFiMLKSSEkNWqGUGZxNX5I5wPKCNpjebNF1/n7a9+gydnj/n48/cRTY+1DW6sJJk7swUujXz3j38fqTInp0esl4VQFLfuvMqzJ1+wXm+RQvC7P7riavMu/6O//WX+yvXIP/mdL8hhYr0cyEmy2Q5IbZnP53Qm8tWf6fk7f+tNfvJo4j/4j9/jahPZjJ8iKXSHR/w7f/1/yPMn9/jnv/OfEmXCCsPKe/744RXJ+SrgykAOyLZhuZv44Ccfsj5/zou3bqCFJiZXD4EIpAKdqJbzXCi6blCQkt12Q/ICCchc+dtC1tTKrZMTNruJaRwJ2TOka97/eGRxcErpFfN+zmtvvsn9h8/5tZ//K/zBD3+PTyeHyBFKnUI7P+0JMJVoRJLoJBhTwmpJZyRX2wnjQ5X8lMown806hFQIpREC+tkpi9kRz86+wEiLFJr5Qc/FZlmntyWjlUKIGv8JMSBKJuaMKXsUraxRPy2gaE0ICRUjJUdYGH7ha+/w6YNrPnpyxi/cfom/883X+L9/9yGT7lmuLrm4vM9qfYaVFiM0tptxNF9wubrGu90eOWnxPtH1LUiNG1eEOCEkpBDYrNakFOj7A7785S/z0ccfsR0DCs8uZnaXCmPAh1jjsNSJ9KzvufHCS9w6OWW12+B3ESUVoURUKWQ/olGUCPP+AKUE27E6O4J3oDWyV+gMp7MTvvGz3+T51Yb8VKFK7XpYYdiNnrfbE7TWbKaBXjWIIklS1fehkHifCCmSsuRkMePkYMFJ6dgNA1or7t55g7/4q3+V69UVv/+t3+bhw/s4v4IkUJIajeo0U3DIXFC6JUdPipmuaRgZEUrQqrqRjwWkNmQf6WSDbBSDG5CyJaZMionPv/iA5AaMFtx64Ta7KeJD5GB2RPGelV9DY4g5sPWCFAOITDs2gOKw7fh3/+KXMDPDf/Qb38JvCmOsvwOZIr5ktC4gC00zx7nNHjsakUrhYiZ6j9SFjECIaoFPucaKmrYwhfo7Wy63hCnQzWa4aUJKTUkVmV0QjG5HKbWv8CfDAg98fH7BchtRSG7dfIXPHr9L8Rk7y/zMCzdZjol7Z9c4N6BMofg/YzrN4eKUGydzbh0dUrTEx4jbDmipeO/jPyTsb+3TOOHjOUZpUhaMg+d3//CPaFtNCZmkJN4HktsSc+STs0fklGn7jhuHx4zTyHIaMFJy8/aXUCbx8U9+jJRqbzJLgMLuJRvKQhlqFAFtwKq6Lg+BrfPMmhl9r4lEjD3ANA02DrW+aRXGNESpULLBCI1CIaWttBirfhrPELCf41aRWSogVD0AWCSlVDmDyYrU9gTncbsdRipSdDxfjiitmWnFOkQkmjLtEFEiRcMUHZ20LFdrhPKkrLBKQfIYocjSYErC+YTpG5TQ+FI4MB2vv/oaz66fcHZ9hSgK09QXsYqRVApjcmgB4w5aOyMFjxZVfT0ETyoFW0AIhWkUx7MGXRKr6wta07LzjkHWh3hMgSQDsQQWs2N8mBBW0TUz+s5wLTSztqEIiVQz3HCJ94G27Vhvn9GbA5RQJOfIQlWGMAVle46aGW/d7jnpC+8/2fLsckPICWKuOmqryaVGeJSBkGvD24eJedtx0r/Kg8c/ISYHol7McpGENBGzYHAFCIRxoLUW2wFSYVVD0pboIsEH5l3PGAd2MTG4yPc/f1I7HKZFhUgJCa0tSlusnTHvBLcOe66WW/zkGCToxZzRR5SVXD9es3t7oH/lmM3DFSFklPVQqmVxGj39nQWiF5x/+hyQxCwBTcmRqCAIgVBVVS5dquI0mZnySBENwWWGfM2D7Y7To0P8JhFc7Zz0pqPogvMZsAS/RcRKs0BrTFHMjGQ7ekLKGNnRzBbcO9vxH/7D7+KjYz1Vko9zIznmPd1DsvXXvP7SXe6+fMwff+8nxBAYpxGrm33cIuNDQCjFop0zhokgW4r0ZK/IJdVbWSgYCa4IfK50FiHrbc00HUJCDI7kHY1p9lNdV7niWoFQhJDwTAgrsTREC9NmwqFwsVTTqqgmzRduvcDV9prJO1SZmPU9u2FgCKs6wUL/lFbQypYxekKAnzy4YvThp7r6IhRtP2OzHfj4i/tcb6749ntX5OTBlzqlbC0hjCibEHHi+uyCUhIxB3TTsIsJqQqNMsxPbgCGFB3ejdw4Oq4xhZXm+fkluxTQGUJwxJQQUpNKnTopGcmpHgqVqsxmRUIKA8DoPQqN7Q3BgxUdUxkoGrwbAUkWkoVtaYzioO/YyrpQj0KAqoVoKSUpB4zRe8dGQshCcJEsJOskaJSgUZIxQ8ITQ6QxDRSBFFtQBZcc0hhyVJTksMYQSuRgfsqv/Mp/i3fe+jq/+Tv/OW17gMqZVhWEmXM1Op5vd0jhEKHmzHfXG5KEvmm4/+gBJewjFLIeCH/yJPC//b+9z1/5hWP+5//+z/LmnY7vf3LBTz5bM/nC4ZHihRsLXrrV8dnDDf+H/8e7fP5wD1Aomd0wsGgPcYPn8uqcs8unOLdFWE1UguATP350xXc+e4RqFLPWEiZPcgElNOO049OzDZ+cPYAgyGRCinR93TAgFSlVlC4yo0jEsB/iyAERCy7to3+mo7eK7bhlnEaK1JAyrgRaI5n8mlQi19crik8sN0v+0W/+OklKFrNjltdP0abGLWSRRJ9JpUIRkqg4S6sVi4Ulh4wxsZpuYySmWvCmFPywpTWaSGF2cEzfzUhPI1EKmn7GatqgVcbHiJACY1qMUjWfb2bENFFkIOt6ES5B843XX+XZbsnDsyuEUCzmhxwfHbC6POfv/n+/xWqzJmTBP/3JI3QRxGIIyQGlbkWmgV2xnByeMj+8w9tf/jn+4Nv/FSLv0MYgEExhg4yRYTuRU4VpSilRuubUU460s57nzy9I3jOzmmEcSKHUXkWp8R+LQhiBd4nDkxP+jV/5Zd566SU2bs3vd9/huz9+l8PDOTcWt3jjlTf5/nt/zGq7wlgJuYLvoix0WlNi5uLqOUpKHj+75u//w39U+fJ72ZC2iuQDz55d8i+v/5DgAvPFIf1sjrtyMNZYamNMPciqTN8eolrJDz+7R9u1NUrXtLzx5lf563/zv88nn37Ej977LkY9RFqFm0ZEkqAzs2bB66+9zr379/B7JKjRloNZx0s3j/n47IxhnEhKogpoqYhCMJv1lJIYx0zMNSJjtaVtBRtfSXIXl0uEsiy05fr8nCIC/aIl+oY4TfVZKRVKNUwxI0mMwTGVhMHSmZaV8OQCvbWUkPcWacgkxt01JRaavid4T4yQ0VU0Jcu+z1ORrbPDG/jhijFGWttRUqygyaZlGncgayyxa2YoUeNREU+nDVIpphDqpc4V/otv3UdpKLmwefwuUiaMsTRty8/cPeLuYcc/+GPHFxc7iIVS6qnyz+wQ//d+/T9GHZzw9MlDkp8IolIftBa44Ck5IqQm5oKOI45SOcLeE5NltRlryYVE11dLnS0tkNEHM3rTc/fGbZ5dXrBLHqbA8/NPaWbzioyTqeYlSeTka75PCBrmHN084cnlU4Kf6IpGiYZJCHrb0vUW24DKcxrb4HaeLA2ykWRaiAZhDU07o5SAsYXWChrVoETNhdczgqCgass51ciItJYq05wopeBTxksFqr78u0bjkiAJcKOnZMd6jHW632bGqWqXXU4sbMvx0U2MGVhtnyNlZkweUTJWa0SuKulZ3/LSyV0ulkuygqgKTy7P0dpUPUyJeJeYNz05F2yOJCFQ0lJQ6HnDsFkDkeIEIUPT6DqNLAWt6g1F7w9h7dzSHjcMuwFSJpeISxFpJNvtmlgS7WzBanVBKTdQqmO72zE7OmS1XlYKjanMm+ACUuxAhjrx6eYMuxVWZWTyBCd47c5N/ubP3+Yf/t49rq8nSlZIGdFGMqWqOQ851LhRSAit+eKzOoU/XAhMkkw+4rWhSJBlwijBwtSNijY9aW5IMTGOA0o3eO/w0WPbjpk5Zpq2KCtx2x19t0DgiSRIlq7RNFqTgyQYw3I453B+B6NtjWgoU810MZN9IoVCUJFPvvUp7/zql5i9c4v1o2vKNCFLoTSK2ZduIbuWj/7wA8I44mXNpaZS182t0sgsCCLRpGoB7qRC2YwQFhcyKmpESUxpwqc5BklpBH5IDNNY7cg+IFTCNAalFDnCrOuYdjtiqJfVXldTZJIK2815utwxuYlCpGCZ9XN2wxopM7Ou4Rs/82V2u4Efvfsp41CZ8VlJsvQoBS55TGO4unjGpm1BaLabJbaVNAeWHslq7VDWIkVGZZBaVP6yaVAUZu2M88vHaKnRskpZrFWV3Z8VCkHRqhb9RbW4xiwoMiFUhlJomwNEUYxupOB4dl6Z04ZS2b7GUMRUN4hCY5oZKftqipaFo4NjrtfXRF/LlgWFNvUSOOsWDJs13cHL9ENis3rKrJuhdKkUlZBoZoY3bt3gaNbzyfNP2ewcxlgkAiEzMQVckdjGcDQ74J3XbxJXKx4/P+ej50tsksQcoCR8zkhtsLansT3D5orO9sToKWSUVmgMJQoW3QxlGja7FcXWeGFIhXnTcfvmbR4+v183EgXkfqrqvOPs7CEm3yKSmEqmU4YhRIQ1HJ/cYr28wrmRlBPaGJQQhCApRaCUJGSQQmAaSXYFSSH6iO5acpC0bUtrGrrOcOfWHT7/7ItapJVVPvWD99/lxz/5lPXmnDs3jxDFVH+AW6LGLSqDp0F3keAq9UyIwrTb0XYtL9x9jfv375NCwOoG5z27MfBf/M453/rByJde1vQzODxosK3l6rrw6YM1P/rwI67HhCgNPmWKhq4xgGL0G4ww/NHv/r+42A4kURB+Ap1odcsuOYRMuFjomwahGsZhIslE3vsQFHU7Kkr1EvhQC5FewGw2Q+l6mFdFVW9BKZSicWlHjJF510LKLOaHKKdxLvHmm28Tph1ffHGPIAJhc4mVDVEIptLx1ltf54NPfkiIO5p2QS6FlDKq1PdxLhJQeB8ggZARD2y2UFSh7+cQ9zE8qwmh4J3DtIrGmsokv36IDsfcOFiwGkdSdD+l7LTaImTDV97+Jk+ePmK1PK9nAe/p5/MaS512SFn48NF9hNRISo1r7VZM44ZSYv3zCUBG7l1vyVmibSXq9F1LLImcEicHx7z66hs8fnSP8eIBrdFMtgGZKoM9NqyWAzkHhFCoDK/eeAlBy6OL+1ASwQ+oUmENyiRsVriSSNTUQLfoMULw2ssv8JMvPmcz7Pjok3tshxG3W/L08Tk5Ce6+/iZuiLz78fu4yRNL4Xp1hd5LhlRWSCGZgkeqjNCCyY8Mbp/htg0iBEyWZF2t7JOrvRcfRvyVQ/pMURUcsQseSvVJSKWYxsTR4pApOHwJiKHw+Wcf8F/+5n/GanPNMLpKDRo8bdPjS8KNa6y0rJYbSIUwjZAj2Iatq4XZMoFWioWxTMUTUgQlWE4rGlX9LcUISk7cvHXCr/7i1/jn3/4B55fnkBSELaMxYA0FyRgC2lga3eLW2zowVYlcEjHDLir++ftL7j/6Pt5nXEiIJBCxAiyIibDvnQkhUbYQ4lQ3mrIBpZFKIMq+uEpEC0t0Ux0qpvociRp6UZMWTlSrsdKamT3Ehx22UQjqVsLHUM96piHGVJl0wtZId0m4yTGzM652gX/23iP+u7/0FgfzA+SVA62Q3leqzZ/VIf6Lxx/j7kmMSMQSyX9CdigZ2xqUKBXxl0LNmcq6YjXSouyMRduyvD6nUZrjrsPPeo77E86ePaBRPS+++Cof3/sE5xwhOmTR7HZrtus1SSbaRpNcImdoek1wDiN7bszv8Mtfe4Pf+e7EandNEommaZh2ntxKtr7yPhsjuVzVLDkyobDMVQI8al9Y7ZoWq0QtoGmJ1vWDqrWpmDpRI0JZSkTOSCK2tRQyKRdE4+okXGqs0pS0qSgyIOlEFjOC2OHHyMZX7bkhI2WDS4ntZssrL99iNxkePHqOLvX2G8vIEBxKNQiTOV+vCISKYYye4eIZfd9gu5acMlMY8SVhG8U0VQW80HVi5odtZUOLRCyCrjvCj0tKibiwg9yyKZqV37ANE3KtkEkgaasFM2WkkYgiyVJgVCFstyitGKcrYhgRJbNcLWl15aAK1ZJSwliJtprNUIlFJSaUaSBnQkhMTeT+xTU/+kTgd4nj09tsthuurs5rAU8K5rOeMThiTrVgVQq3Fjd5un7O+fVFxQpqXUU8XUsuE7OuRaaMNQaXIoOr2w2rDacnp1yv1nhfyJMjWY2ICVkKXtTGOyEzTQONNqj+sJYtTabgaVXD5dUFy2IpQu8RjIC0+yxdJZKM24lPv/UxN9+4xa3Xb2NtPUh777m4f8WzTysi0qeC9wW8QOfMRhS8tdzujri4PGMygug9rW3YDgNC1CiFVoZQErZr2cSAkhZypLEarSSj82hbDwAlKZRSRDLD5Dg4WOD8VGMuPqK0ZRxGwp5eIbWhNZLl9TVEizEHzPsDikp88fgRy4slm+1ISGm/oozoRmOUJk+JIhRS6Wruy4XGGEbnOOhnjCGipcGaljBtEKZ6GUoqhBjJpXDunyKF4Xh+i+vtczabEWUMOWc6bbDGkPd4POcmdFHkmEi5MLMzRjfRNceMbkMSqcYScn3QCqEIgNxNOB+RKHQuhGGF0hqXMlJlnL9CCkmMmSIKjWm4dbzgajtwtTxHpMj9Jx+T3UgRmc2wJSZB07cIEofdIX/jL32db771In/3H/8u3//BA4II1aIZE7a1CNGyXF8zph3f6F7lyzdnmBC4vxlIDeALKon6+dzn60uYsKLma7WZE8JU8WbGcL0ZmC8OK/M+V2KOQmEktG3HYtEjngqIhUzBaMXPffk1nj2/5NnlEpclTTdnvXV4EZh3c5bjlu16i7Ud3k2QJVrMuPXCEefPzhingVwyRisoCqkFytUBjNKSadpgRe3ItPNTtHLM2xYXXO3K+YIfdnz++Y84OTrh9Pgm3WzOfHFIo8APp6Rwj8vLSzSFvusoa7EX6cy4vjwnRcfjBw+Y/Igomi43LBZzrlfP0Ulwvlqz9Q0uxloeNh3H9pjjmze43D2lCEmKQy2gUydrnlq8VkVwfrlCaInOtSgevcfYKl5yoTb8M4aiCghQOSNE7QDFHKvrREhCrj8fsqIQOT46ZTY/5PHjT0gx4lNGt01dJ0hJ27QsZg1vvvAK3/v0I4qo9tVnz5+SUqLI2pPquxkxJsiR1foSKRXaaGKUCJFo+w43jTSzDlJC5+rLHVKNuKVUcb2ychJxcSKl+u7F+3oYErL+/2XJnTtv8uzxpyyvr/CloJWuESxhSMXtOy+RDz9+j3Z+VC8/ZWQ2m9dLDdUcXOeoc2btnCTO64HbDdjFAlFsjQhOAW0kSjekECkRskxMOTPvT2lbS9gMPH3yiC8dzPhbr1u26471NlNEgyzup5bTxWxOytWq/c7dV7l9cJd/+p1rttkxDROP/ENCSchQKU5/8p3TSpGcxyvB1fUWlRU2Nbz/7vt8+OG7ZArjNCKS4PrsnM2wJrgRYzUkQdceIkSg74+J40DyA8JIGimB+vwUWqC1IOQKAMj7748SDSJX/CRkiA4E9SwWIzFlWmv482+/g7Y937v/mFZrbs2PeHp2j5Qy9x98yO6frdm6ie1myRDrdvN43vDs+TnWdnTNnKvVFS5NsP8clwLrcdjHdwsJwRQyUmmCd0iliRl82JJkjc+2UrG6uubzew946eZtri6ua6lVq70/YcKnDEgOj2co2SC0R+TCGDxt04ArbMYln90bcMFhjAaRkFbUi1sQpL1ordG1sBtDFS0aJfFFEpOnoV50Qt73CEnIWJHnt+8ccrV25HEk2YZ+1tDPbpKLYDNtGKcluRQEoNM+3oRgpmYsjo94ev4EKRUxhjrtF7J2wqaR/ugG2wj/z9/5EKlblMp09oBhu/6z5cSvtxMhR1pdX7Ct1qAtIVciQUoJhcCnRCsMRlqCkkiluXmw4LVX3uA7PzqntT1vvPgqnz05IyDJIrFZXfKT7Yqyn+prudduW0tjwE+Z6GqJBGppS5RqVVsNl9x7oliOG1JOtN2CYQo0rWauDbeObnOxPmPKEQAjOozoKmmnJHoda/5bBG6fHhKmtLe5CjpjUUpVXJqsFo0iJMLkmj2VleestcbmQCkN0UQ0iVggG0X0iVAC7VwTxoRtegITrZqRpomYwTT1MHr3Rs+/89e+ybCb+Af/+Dd5ugzEGMjUiSkJ3BjIfS3phhhBGEyrGcOI9BZlNSLBlDyyb/GpVI61rDLnEiJaSKZQ16bb3RVaKVyc6JqOlCVTnkjJ03Yt88UxYdxUuk0zIwaNppYDpbBokZmKw9Ego6fXHbs0cHhwk2FcghGIUtf6N09uYFRmdS2RWhHDlsbaPSqvIFD88JNLdktB2xQaBi6nDYVM1hmrWnaDr8x+FLlE8IHLzZKSC7oREAUlgW0aprDDIHEl82tf+0XKNPK77/4AaTRatqx3Sx4+fYqUgv7wiBgcMYwEEelMgw6JMFbb3PHBIcRK2plry3rY0kQwrSRJgdUSWQxaWTqt8CESNLhxIqdInfkW/AdPufz0ghs3Tlj0HQ+ePmV0kIOnjZHaRZ4Yc8b7gKal7VvcsAOfGYOvD8sUkRLIlsRAMYUYMrZkpGhpjxa4Z48xpiWUUCdmUeBLxAjFQixAjqS0Y3W9wzQdMdWf4WqfJ2yk5Xq3wmpNNpYsEzFu9wSXloLiydPnFf9GQ2ZA7jOi1SqcmLUdOw+qt4QiiX4HJSJK4XK5RmmLLoKDvufGCy9yvr7gfHWNFAbbCoZxrC3+DNfba2KJYMBnhyz7TK5qUaqWh0RxSKF49bUX2K0H1psdRQgurx/T933lMGePLH8iG0lIJZBFomTVtCtRsbc+RlJOexlRWwusquCToOsspyfHrIYBaRuSF0zrJUoKYhIY1aJExlpZBXMCPr//DDdlhmXFplJqqTCJhhgSOWwQsjAO8K++9UOe3Dwi52p0VY2hhELKqfbHSiKIEdu3yFYxeMfLd1/n+eUzsqpECWM0F1cXaFFIRAoaZRRSasYp8ekXnzMOI23bEWNCpMzV2SXjNFW3wzghBciSidGxKgllLIt2Qd+3rK4ukCT6pvDNr7zNH28dIUOYJlCVWNIpizSKso9sSJlopGaMgYvLh6QcOD8/JyRRyRGiIJjI1AhTUYKmabl14xZH84acHKJp+eTePR4/fsqzsyVKV4nXcDGigJtK0Tfw0QQpB7JRlf4lqzZeohhjQMgqfgth4iI+59kXT7HGEIukAF3b1UmgD/XgYmtp9+ZLd7n39DGyacAnSk6kkkguIhEgJcc3jhECLpZLSio45+tBVYHQsn6mna8UqlQNl4+fPKXRFySVEKFgqLz/aQog6kZTkrHSc/t0xtXljl3KbJcrUon0/QznPNM4IVSDKQonAsvlUwQFrUSl80jDNE1oaUipEqEydUrdG83h/JikYLVbklxG6bwXH0pSzNimZ9EcEQjcXhzx/PIxs8Yy+ImSxV4mJcgioBB100NExUJaB3JJZCCFiRIFmYAWGhcL0lTbu9EdpAGpJVFU2Y+IEb1H4EYXKECWlY5VcmJbNpAMIewYrpaYcos/etiy8ZksFUJSp/xZYJVGoJncgLKC733+Icf9U8bsUSpDhrBH1mZk7cf4WI3FVFTmyeEJwk2oqFgPS1rTMXm3l8VJcs6s1teUHGoB3hesFJycnrBxI5vNlpxGNJJZs8CNa6Y8oXS18oap1HI/daqsGk2IkRQc2prac95b3UnQtT2KjPeRy9WGxIgbN2wnx9XFM5ASO1PcPD1CpTVXZ09JRSCVBSznK0cg1WOhMvW54HfIRqNp8LEgYiLlKi5SZEYfEblSCSHXgaEERCG4iVQUTmvO1yMHbUuJEUrGiYxGg6JuyKUgusR6XKNUhZTErOh1z4t3bvDxwy/qZ1hqUqxJh1gUKQvaRqGVZpjGvZxTIBMEJ0ALkpj2tuG6YS4xkn2giFy7ECSentf+HlIgNfyNb7xBMoKLjebR02vuP76PpIr3fMoIBaEIVjnh12sQisZWrGUpGTfF2kkSBUomp8AUI43OdG3Ll156hdX6kujin90hfjGbsRxWpCQo0jLFQKfrFMc2Ct3NKrGl1NKUkqWWqaTlxuKYD3/yY5QoICQfPvyMVAS7JxekLEkIXCnkkDDCkKJHa0XydTVJMdRPbJVARO/QTYvWhpmZ8fnTM1J0FNEw6w5J5ZyQJZvdgG42pKKxOmG1RsUJjESJVMcsqkZNhGm5XG1obUdv6iFTSonRCqVFtSQKiRAVYRSEqL6tojBULF8umZQlUsEUAkUriknkBG2RlEaSdxmdJEUIRKtJIeP8jphBC8X9zx/w4WdnbKYqKHApYUoBXW13Rgt+6Z1TvvrGDf6T3/oxV5uJLOukU/iIyIKDWc84eIS3ULYMoXKFTSmUFGi04ebhEavdhpg9MdY/c53QypqdLgJCYnV1zWzW89arb+GyZ33tMIsZT57cRzUdaXCoYkkh14lvcOQMcZwqi10WjDRoJMN2S2Msja4r97Y75IWTUz45e1ijOs4xmx9w63DGn/vaIVfLkX/0BxuGYHnp5CY771mtd8Q0VZmNtbz5yts4P/L0ySOErCSgzhh011GSJ/nEsJ747gfvE4NncIFWwKQVoRSsqIKoMA746JFA0zakkpn3R/s4VaEoweJgjhcR1c2wQhDdgMiJtpsRRH2JH6iE0BaTIn5w+GxJOROyoM+ZEivi0k+ZScI4BKaY6IPnV04X/KFfcRUiIQdchCATd/sXmcSai+slUlnGacJqgVEdu7yjRVM0GDqkMOS043q1Rsw0wtcLcFYFK1vamgEhacMvvvM1fvTp95mWFyjvaFRdR6ZY4xWDGEgpE4VgEBGBJKRA33VsxyVCwOQDRjf77VYGparJtFRM2uAmEJZh2KKKqlM5XV86lavskFlzvXnGZr1k9AP9vGPnEjvvKmVFW1zYoJNn1ra4kihuQoqMKIGDwxOePz8n762Rtw5n/PVXX+OP7t3HpZHBSSiJrqmTEWMKUh1wfOMWF1cPkTISfb28pxyq3a8ISs5IpRBSErwjioIxhlkzYz6/xUeffYoUllQcOUWSFEiaykhuLCo5jBCYpiEEwe9+52NovmBeKi2mM4acMvNZy9pVpXtKBYLjMm5ZHMxZ7ZaEEJhCZPIjClOJGRmQhcPDA8aYWT5/zoOHn1OICFWnYEIrigskqVDGYDAkqoCrUQnnBmzX4lLAFEUWicdna4qAWASbYYc2IHsNLpEiHHZHzJRktVsjrUFlxWYc+Ze/921kVrSyQdlc2enznr7tubpcQkk1HiBq2baCDyJWWzrTQdmSS90IOOeQylCSYD1uMQP4YUFuj6tEzrbMmwWL9hkiaMYQCDlWIydw2mj+ztde4//0rZ9w5j3BD+hikAVaa/iZN97m/U8/ZvQOaxQJvc/NFkY3VIGcquVLJQTsJ7Cx1Kn5ehc5mN9kt1uhtSB6gcymvthTQFC4Wl0RCyg0R0eHXFxdkHPg6PA1lFEM4zkISyyOnCda3ezL+h5Kxkco7ZzDozu4889IIWP2uNxf/bnXeOnRnN/+8ec0TaTolt3qHO8js/6AFAKiNRw2lsvtNcFFpFH4yTFdX8D+grdeXlXhorYIrZA6kYSqMj4mpCjEfbnbWsvkdyhbp+w7ViRjeLq65hduH/FvfeUd/i+/8x2u3cji+JTVcgl5R8TQqP3lswSmySGkRJjaNQgpoY3E5YC2EiUjm/UZSiRczrXfttkRra8iMaWIuYIaTCn1vaHr5k34iaIUQTQgCo+XW87Xa+688CV+5Rs/zw9/+Nu45Ck5EWU1i2cSLgkmt+J6syJrUTfkraEtlZbWa8UgPc6XalbNiV995xu8cPoi373/KRe7T7h18ya/8gtf4/e//S7L5SURmOLE4Ctp6vat19hsLthsrrl6/hDVzlEStO7x444iHK7eHWiQoGTFsEpFKnUQJ7JgNpuz223RUtPothKqUibLglSZafLkFHnvyeM9/UUgTc2Ee+dIoyXnOavVGdFnbNPSmIQgMiVRqTFuYjte4ccRIS05RKKsZf6KJ1GARBhF9vXz3jVd3bwMlxwu5mxGh1elDmRD5tnzM57sjctFaCSgitxLBwvz2QzTzthtVtw6eZVhOOPGyYwHFwOfnT1HAaHU/p7AQAGRI1YbrKg45xgz0hhKEdU5FD2q7dA51XdaFkhRi+hoiZKJm0dHXNuBq80OaSRGKjKFx6srQtA8ufRI0zKkKqQ7nC9I44hKGSUVIPBDQDU9Ke0QRlFCdQtJLVBFkbPDTxOpFA6P7pJT5KNHn1dq4b+Gv/7Uh/jgAwJo+oYwDPsXXp2q/Bs/+yv8+OP3ebI8qw/nUkguILQCXbj//HN2U11typhREk5PX2WrrokhshsvKSEya/r6BVOKXDRHhy9w5+YNiGs+efgIWQqNafFh4rXT27Rdw2df3GMqDoSgbzSr5ZO6Zpa60g+Cr9pfqUkRVK+rGTbWiYloDEpa+n5eQf1G0GiN3kO8lZYYo9G6TuSlkORcUBGEr5nCVCDmjE5gs2M3ObLUdDLhZICsKjpRaYqONAiyr3nmnHaIYmi1wIeBH7x3j0+ePK05NKPpbMOi77harSqqT0menO/ozYKSLcQJKSMKQ7FVoz6bH7PdnOHCiqwUc9vXD1tw9YChFdtx/KlQxirNOLo6id5ldAMlS1pdFeLrYcdit0IJOL3xIuOwpiuJ3W6JTLV0k1NkE0Z018IQWI/XdKba1lycEEYyJc/gJ9CWAtimxWpDqxqMmfPVF25xcNygjeeNmz0pVqQTObLZ7nApIETBakthYtEecDI74FHw+BTRuk79KQq3G9Ba1uhD33F+eUkRueIuc0bj6GYdfhqxuhYJ6ywhk6KjnbUIK1BCknzGaIN3tdA7WM/RoeXo5pyDowPGKbK5GlhdrrCiQzYLCi1KBXZ+g8mRjhana3wrFxgeP9+/9B0iCRKZH52vGMcNr5xCaxI7J/n40cjn994DaQjakkqgsRXZaIpg1szYTAObAHMtySgomTI5BOAzCKEx2RHiwGze0rYzYh7ZDhuMNEipEULgS6JkS2cs2rTE6EjjhqbRJB8ZS51ExVxotIHsiI0B6gRbi0W1/ooCQlVuuVSk7AFFzhMK0LpDIBi9pzGGiYIpkFXCdB1SSazU7IqrAimR6XRbWdUOlLFomRFG44vg0dlztJBoIXHeE5Pm2gV2cSQrXcVuIdfSeE5UOMeE8yPGGIILxFxXoMroGh0ApFTkBEZq5icNF5sdKQskjuAHpOhrGcoURIycnsx4+uwSkQo5evqu5/j0lNXlGav1QMQzlz0/87Uvsd5d8qOP7nG86Phv/6Wv8U9+512uciDnjDYFP2259+QButF1G1cKRjdVtmYsWUBJCT94dlOkkQ2SysRurSVnqh1RNfW/F4c0kq+eLAjFcpUll1cDJSZ0SSQpaNqGkgRkX70GOaOo+L1GK2RJLHdLdrsqk9KiHjZKykzB45yvW0mpkBGi97hsuHl6m4vl02oZlZpCpsg/ITZnxjjigsdoi7GgtGEcRwiRohIhOlRSbHZLGiV5fHnJNG7JRZBlnVoKAVIJoot8vNzyd79/j+ucKALeuH3C6y+8wO/94H0Sgt60zBeH+O2aLCoq2BpJr1rWu0IRovK2s6AohVK6svj9wHZcs/UbmnaG0IK0l8H5VCDnavcWknGMNI0BLbhYXdY4odIM4zV5G1ACTm7cZrO5QKZEJqGRhAIhBoxqOJhlVlcPKkLXzCg+4HLk7//GdxjDhuvR04qGbBLKKnyoRfl5cwhty2Z7zqyZsQqVgEWpw7WCoABGmX1Bv/YSHj99xOR3FFWliwiFUpm7xyf83Fdf5Y9+8DGX6w0p1Shno3vefv1nePjoA37jg8+RWqFzZrm8qIcX2dFZiZQZ4SDEgrU1xldCoqDoWknM1XXg/YTRGaP1Xsoj9odFgQ++MsVzHahYYWoHRApEKnRdixsDU8w0RteMdim44LGNJvozTCvA1fODp5DdyKK/gS9bgo/cunmX0V8xDSM5K775xhtcholHT8/pVUskEVOglfD54wfcv3zG+dVFxQeWwvVqQxYChOHg8ACxvCAGRy6B9e4M5yakVti25xe++gs8ePyYJ1fn1f3ARG21aRprGH1ASkXTGZQS+J0jFUUYHTPbEl0klYkiazSWnHFD7eVJNI1W+JgpxaBsjTlLEr1ueHD/PklMGNuwmC24XF9UYoo0mLZBSRh3y1qaDx4pNJ3pCLIQwoSxmpRHJC2qJIQoCFE4PDwhhB27kJCFGtuzDa4EvEsoUSglM58vEBpWV2taYylFstxsSKst1rbkHLlxfMjbr93l7OpjhmnCYskp4EOgaw0piColVNA2kpWrRfvoI203q0JCVZh3h0zTDiUdu2FCS1uHeKlm7TfThC8RyBRfKEbjysR3Pn4GQhBcJERHZzQFTU61tyAx+FgBDBhJcFN9bruIlhYlAqP3SKnYTRUlqZVgs3pOY3qmcSSGfz2H+D81J76xLZTC0cEMbSzr9RbbtgQ3cTw/pQjL1fqsTuS0IoWEEop+dsBsbnj67BkFybzt6IxlGAZ8TggEKdd17+HBMSUWfByZpkIzm/Hm3Vc5nRW+9+Gn5FJXRmPYsWg7Zq3lenlJlHXV9c4LL/J0ec1qdPsDt6VrLcJI5s0BLgW0rAfhw4MepUX987Q9Td8yt4a2tSw6i20tnW1orKWxhsZajNH7zG8hxIDzAeciw+jY+Qk3jQxjZvQ7xp1n8IFxHEkxMPiAi57NOCCdwxePC4U0hr0kI9XcnJnTtAt2y3MWjeTrL9/CkXjvyTUxKCIFk6ssafIjsgjG4iuvtmSMkBSl92gkidYaSqpRD6PJIiOlpYSRJBLa9oRpx5/sJq1ukVYwrAfuLhoCsIkF58Y98WJWb5au8vhN2zG6FfiAEJKsZTUq6koXkTkxxFzlFFrTS8sQHcIojDLEWL0BrZ3xF77yNi/eWPDje5/ywpFiPQQ+e7pluZ4IOYBSFKEwWaFEXevNFifcOL3JZn3F9W6DTYokquFX20U1fZYMKdVVL5ksKs6Q4snBYbWmnR0zuaESVUoEY5FSMp8fYYSglQqLpJlpvvyrb/K1b75DToHdckBbw+J4xuXlih/9q4e49Y5tdDRmgfATsWw4nJ0gNYjkMSiEyihN3d4UhRKeX3yn4Wdfb7naec6WO3rbcOPE8Pi54+/9xhdcbQRCGEpMJOkhJv7Km3eRQvAb7z8HLbDtEWEa8GmoprhQTYyq1HhLLgmtW+yswyqLJDFsHGMaEbKA7TFC1suvT2hZmcZyTyYypnCqLT9z1LHKkWt7gLEzHjy7z3Y9UvaDS0HGp4yVEiktyVRFuHcRBBWXKgrWWGKEeW+YzU8ZponiR0II+OLJCbRo0Y2BMjKNrk5fTMvNO3d4evGMaRgQe5a86Wf1QDDtaBvJ5BO5ZPKQ0G1LyokXTl5hNS0ZpxWqSBIR5z2N0ghZCRVKWQ4PThjGNd4P6D2JQiEwSLI2NE3H3dMXeX79BAV88yvv8Ifvfsxmc12xkkIw6zokhc1uy0HfE0j8jV/7RXwI/Mtv/5gcPAezGavB0XaHbP3Aa7depVGajx99yNHpIW4cWa62tYSnINQGF1apindTsh7QdF0VN2pGlplX3nibLz57l9Zattsd867hf/GX3+Z66/i//tFPmJKqP7cSQKq6ackJLQRpn4fWugpShNIkJvrumA7JzgV82FUyTRYECilmGq05vXmT58+eobVBmYbFbM7l+gJNRbU1XQ8lszg44eLsCUNy9LbnlVffYXn+iNX6mpQyx6fH3Dg4YbnbYRvLyUHPom15stoQJsc0BXyRuGEgp4nJ+wook1Ci3G8rMm/dvs3x/JBPHjxlnet2xOcAutJ2cs68cOOU9bBlHCZI1Nx21XuAFAhR//2EqFGYxjaEVC9dlBqdyFR3ihY17qe1xDYztrsdc1O3ycL2iCK4eXyHq+tzVrsVQgiEyRzYlvUw4XNElkJr6/DHjw6x72XN5zNUseQ8sdnuqq1TwxACrbIgFVI25Oj4pS9/iZPFKb/1R9+uBu1pqGhXFKUUlNEczm6QI7g4MOUJQabRHWVfcFYGfvGdt/nqW6/wT37rWww+EGKhbRU3b73CZrhmt1lTSiT5UH0ludSisTYcHtzGuQ273ZJGN6Cqkb2UQGcsb986xhfBvfOBmEZsYzlcnLLbLVntNmhpiAgWrSQmiEFQStof1H2Nms7mhHHEhYyUYE1TqT2AtZb5/JDt+ooQIyWDrnCYauykXga67pAbRydcb65oFIwuMDMWrRW//DO/xg8/+SHnV48pUla8dUlIpShxgmAoSqNVYcr1u3nj9Jif/+bP84MffJ+Ls+cIVO2AaU0sGYFGq1pcjXHgpF8AmfOrc5ANSRb6psUYxTTuSBHSvjzaGIsGnPe1pyMrzjUHD0pi1AxNYkqevlkQS8C5qTpCrKk/g4Ya8UxwdDxjGnfEUKrAKsWa/6fUgZdp0ERS1ITgKxt+1hAmj0y1tyRUZcgbrYlCECfP0eEJqQicW9fMvNB1s6VVJUeFwMH8kNWwrbIqYN4fkotnF0Y6ZfFTxva2Ep7clrKPDmUEfdvSaMnxwSkPzx4z6xt2U0A3LS+9/CpWGA77OevtOcvNFhEVz66eYgwEn8lZENKEUKK6E4pAFVnfO/s+ovcTpWS0VfS6rT6OUC+Kzickqm48cybi9uQ6TaZQpMGqBjesEELSzA0xJcJU/9njtK5Eqv+av/40x/M/9SF+1vdo1XC4OEbguV5d13ZvLhzdOsVNnuAdGU+OuWKzBGjT0PUzVtsNrWmYNw3ebXmhbZjNDvjk6pIYEiklhNUkL5hpyTbXXzq5oGSEopgf3oTs8TGw3S45OjzgzvERF6s1vey4uZjzbNiy3DqO2hlaFbYx4UOmtw3aQtNUfJrpOxSSg7ZhMe+xraVpG476jqZt6NqWvmlorKFrG/q2obHN3qZW88qT80w+sN2NTCGS4pblamQzRabJ44NjGHcMu5H15AguVWW29+wKpOjISZAFyJyZwg5pLa++9DpPH9znRif43/17vwQa/pf/yfe42HmmOCGUIYhEHBNGGpIoaF05vyEkUIYYBjo9w2VPzJ5GSQoaHwKnN29jjeD58yua1qK8o+srRzak+jKiZGLJNP2C6B1WCTrVMHpHThllBUcHRyQh8G5ivVnjYqKzLVLAizcOSFEwBM/lUPXtKURaYxi9AyRNIwkp13Vu0eQSMBhaU4ilFnS+dOuUBxcbHq8q+s8Ww+nRq6z8ksFdYlLh5Vff5qXTu/zwgz8miSrBQTiatmN1vSXnwsI0TCFirKbIwuRC1XGnasUsSaGlJLgq6Jm1PbODnpyrYhkE867nr/57v8LiZsNHv/sBOkqMEcTgcTlz8627vPKzr/Ebv/67rK6vUcnS5IRPiqbvmPWasp9yahMxUkLWZAn/vb9kUQV+8/eveXYV2ZaIcALbCn7py4pf+vop/+df/4Tny4hWDcPkECHw8skJPjjOhszgHBHB6Y1bnF8+JU2RVktyCZSiMKal6TtGOXBkj5l1i4qGzbDcrsgEUgqsVxuM7So/OWSUllX24j2tMvzanUP+V3/5K3z0bMl/+ONHXCbJcrtiMwxYJKLRNRNPnRAhJLN+xjRNBD9V3jSKolS9MGUqJzkXiqg/IyWg5ErOaGzH/GBBSg7ndngXSEnu4wcZpQQx5io0awxGa4bNSNlHgFKmbhesIhVYqAM2aUuKAzJLvIwo0aJSJFExZBSJNW1dmYpMdDWHmnONYFlby1SLbs7F1Rl9d0RMsEtj5RGT8D7R2Bar99EMrSkl0zVzBILr9TVFgikWn/N+Db3mxZMXmPczPr3/MWhTOfqqkIqk14rZwZztbmC321Gkou1aJJLdbstB03J6eJuHy0e0/RHj8gIlK452Zlr+7S/fYD2N/OH9JVOISAFJ1W1KjJGyv2xnMil4/iR6YXWH0NVmaFBcb9a0rQEBk3f7y7FEZFNRwW7D7aOOh5crcqwEHlA0qiIxlZ7x5S99jfff/y63msLxbMbnQ2AaJ4ootFJwfHSHl26/zCcPPyGKyEFnSCWyGQXGSCbn0dJSnMPHib47YDesMSIjtGLalzFbao511rbkRuN8JI71mRiJNI0lxZptZ29+rh0vhdSKQkHKQkoCuy++V6CPJOSA0pIcEiEmpNHkkmhbQxhzZb+TUECSoDG1lCgUOguE8HViSqbrZ2hjmIb6zLJa1R7J5Pa4TEkmcXhwzK3DE7549GnFEGvLNDms1cznczbbHXh449W3WA1rnl88pWk0MWfCGNBKVYmNon4/U0EqVSfgKdE0c1J2DJNDSWikQVtTo5c5Eb2gaRVN1zEMuypBFGFP+UjVPIrF54m+P8BNA5lAazqKUMRUKHlEouh1RfjtpkAqhdZ2ZCFJ2eF9RMv68zRGkWPG6IbRj2hZ4RMFSWsbVM7cvX2TguLpeovbrEi5QZrEfHGA3+2IoX5OpLZ47+jbORRNSBtKLCyO57x64wZHRvOdew+JvmJvbx3c5dot2YwrCpLOWHbDhG0UJVfDeIyBmBzFGLSqKMvTGzdZLa+YdltOFy+ipOJq85xcCoVYsZZSkkSCZGgbw+BGpOnIaay/mwxaW7z3VUz1099TRmtF8J60Lz6nFAnJ0Yieu6cv1AuW31b6UImEvQug5ugTSlqUyIyxGnVN2xB8ILjI4eEh682KGB1qv63Jcf+9ULqCETMI9njQVMgigaiCrEzax9sKVtWLEqJ2UqxuaecLfNiRXWUWhjD9FGjQGAMKvK89jkqqTNjZApk9YRjq0EGqSizrFiy6Y4If2Q6XSAUvvfgK/8af+0V+5Zt/kQ8/eZ9/9Qe/z7PnV1ysnyNEHbxqUd8HYh+3VqbiKgOR0UeaZg5EequZckSEjPcjlMrkL6XQtkf0swPG9YrARAj1eXJwfMjZ+WU1yKYq1AON0FVoCBrnx/rM+W94iP9Tx2kykpRGLq/rl0CVig+LPnJ5fr7Pj2tiqDknq1TNRgfPZlVlACkENjGjpeT44ICDWctHF4mUM0UKfIgsWsvXX7jFDx48IclCzhKBJgJFRJQQ3D05YJy3vPrKW7z30XvsxgnXFM63G15+8TWkdZx2x6ynK8xuS9EgREAmhcwRJRpM1kgJStbsuxQGvY+d1IKVrKgiLdFaYa2laez+xlYb6kLKuua2CisD/UHLMGVUBCUctkiytrgmYYKgtBkRBEEaTFbksiPnieInuvmcmBy9lGzPr4hFcDYM/OaP7pOlZhCCtJ+iKFtwu4jUtdw572bshjXowksv3cVtPUItaPQRyW94ur4glGooRQm2wxolJUYJVE5sYuD24g43T0746PEDmOo/e7Y4YBw8x4sZL794m598+oBQEkUaRAqkGLncbakUfU3XaHIOvHlyzNsnB/zBw+es9jp4kcGYWsxRQu7FMBK0xo+erqnypXdeOIGY+OzymmFy3L8e2bh6S6coZGdYD9fMDg8QNiNcYtyu+Gh5zW4aCUyQIn2j8csd89YwThPbuFfJ4/BBIbSurf4CFEHKkZASs6YHoBGFnGLlpquGt1+5xcnrdzi63fKdf/YDbrQNN09adNsSc2KzHbn87JyUHH/pv/Pz/P4//BbjJAlhQuEIuTBFhUqCUiaibEi5IPPEn//ZGa0s/L1/umIbcv3iJs1iPuf2q6/zL3/0I0K55N//t17i//j/vs8uBFpj2Q6eB9dbUoy0ukNKiXMT18s1bdPgU9yj/ip+T+iC9xOzZsbMao4ODqoJk8LpcMjy4opdGLGyY5w8InuUBpcyaU8fUFKxHB3vPl7zaFULiI3pCPGSg8UMNzkohcP5DabsGHcrUq7CEwqUUkU2hVT/sxQ0StcCZwpIlfclTEnbzUh+QhTPbntdL42pMLkBoUCbWmJa2ANSzGyHa7TPeD+BKFhp0UIRraKEyuyOFJYiEHOibSwxAD6SRUK3ClmqbTSnREpjfQGVTEiBrmSU0vRHR/zaz77M6AM/+uIcbbpqAT26TRmumaJjcAGkJuVMEi1FJDy1U7OdtsSgQEpMyXXwIRKbMRFD5OHzB3XiKwoijeQkEVFje+h6y89+5cu8//6HDLsJkXP9Z6SElZrBefzVI2KKDJuL+nMVCVsgi8hvfXpWGe+259aNA548v2C2WCCl4Pnz57APWxjZUqhG5CQKmcC0KzT7l52ShWFyoDISWQlWul54rtZXKAGUDis1k8qEGGllwbtaTLctvPvhd5HZ8Ve/9BbffP0u/5vf/GO8gBgSzsL59pLzyzNQiq7rGH3Bh0xwnrbMObIHnK3OESSiKLSxGoB9BhGrez34QDGCrCphJu5CjYnYehCSaIKPKNPg40RKAakkRtZ1fc6CEDyzrk5HcyzIojg5fZGjkwUff/xjbBE0Xc/OO6IAve9NaUN93qlMlhZJwWeBUgURHNJ2pGzQckJqU7e74wgIVNNAiWRfHRgxFoqsPa754SmvvvUNHj5/RPIjMaY6VRUV/1j2tJvHZ4/wwYNPTDkhjUBridaV6Z+KRtVUaf2Opn2hcEoIWSf/qRSGEFAxMDvoCaOjmEJICbFdV7xhyXRtTyqJEHw9UFIoEnZuV70CSZFQlBQIIewHfIqNq3jmmPK+b5aIeULZBiVzvfBRhUM3jk9Zr1d1u5wjDYVJZSY3VtFiY/DXa6IbcDFwcHyMKJGLs6fM2jlWG7KoFtOjxS1Gv8HFEZkiRhnC5Hnx+IQnZ0tMY0iMTC6z9ktu3LjF7uGGmKusqu1avPcoKXBpQsuWrlEM40jwHoHk4tlTsiw1/68k3fyEvD0jJI9pDcEHsBCnhFJQhKaxHaBrVzAXpNXkImjbWn5vG4syhyRT/SltJ4njlhCmaluOjiQ9zzfP+MqXf46nz59wffW8+hlKruQwVPUU+IlGizoUDJ7edMzaE87dc5bbuk3s+0OCn+hFJgjJqDIUqp1dlD1goX5WBKrKl9A0RpFCLbN3pmVMsUbXcpVJ3Ti8yzhe8Hz3BC1BFkFMkYKisZIXbr/Ep/fu4YNHCUVrLBKq8LCpThepSpUFxjXOtzW6lCM1MKa4+9KX+NrPf4OVHyi/9y/Y7i6Q+wJtY3uMqfHjaRfqRWIaKdKQsmJuBbtpi9YQRJWHTcnTNTOEUPgcsUSc23LtJrSWSCOrbFRqNqsdrayFWyciXdswuUgnNVvJvnf2r4NN8/+P7Knp2PixRlPMgtHt0O2MuRWsVs9RWE6PbrDarph8ZnKhrhqorNniHUoXipJo0/HxxcT09IJCw+1bL7IdnrFzE93sJo93gqwgoLGNZBp22G7GdrlESEGjEt947SU+f/6UrYvEWIgl0hvL1cUFzhau1peomOrDRihk29C1uk4UUqCVTS3PGvAlYXJGh0DRptojqZO+KoGoGfnGNnSNRQrB5EYKhRgDIRqizGzdhERjZCC2hiwybAUGS6MLyXu0zOQGetkQw0iMhSQ1L73+Gn4MfPDRD5B5IkpNTIH/9L0nTEXQNz0xgW06hnELSEQKFFvLgUJqStEslys6PWftJvzuETolUgloGlx0NMaQvGMcI9JoYpEczXrOr58xhUSrFF4CJTPsdmhrkarhrVff5NHja67iFW1jaHJivdsgZS2qFmLFHI4j25T41qOnbAZf/35JTLnSIBbtnBgDUxrqxTAXrFF0rcJ5TwqBw/aQFM5JBTwWO28Zxg1GZNLkOD5o+MbLBzxees4uVnzzjbf43scfkGPNnSEVWrXoVrBaVdSfMpqYPMlD09bMsPcTs+4AUsWgGWlBK2bC1tXylJASZFNYD56/8Muv89HvvU8vNDePj7hzc8HxoiOnzLPrDVKuefbFFS++8TJHLx6y+/S6YuZigxCKcXQ0UpGEQWdDipFOjnzj7VN+/Z+dMURBn6FbLJiE58Bk3PVnROCff+eKr799wOu3DB8/C4QoQLd4IqVUTfVJ25NcRJSJlBTStMRYsEKiFLSdpGtPcF7QHxxy4/SIOzdOaLuae346O+dqu+PZ9cD14y8qq1rDwcEJ23UtJSeZ+Wgq/Aff+RSfHDsM817UWEcqaFFJSZfXz1nMOmxjGaa8p0PV5n/OGSvqFE1KA9YifZ1oHZ2eEtxIKYH1bkfOCZcSShqeu2syGVIglUTBIpVhs7tGGcPB8Q0aabhYPkFJyGWvBtcCGRKzfs5mN9RVsVSQJa3MeCUrqQZDihNG1tgZsmaMRYFOKYwxKN1yOu/5pa++wOVq5AefPGTWSnbBc3H1kG7eVRIGklZrco4oWS8wWjXMZkckt2YdVzRKkksi+Rr10rJg2h6XKsaPWKfH01RJCkRYbgbe/eB9got7POoSF/YvBaiHihgIBVSuRVxVEhRJiJ4QBEoWRr9jco4YAturS7KWtMYQU6ZEKCqgFTUykBPeOTKZGAW7WMgp05iGkqsYJRXHC4sDdrmQgPXVFZ8+uUBIRdsaRBC4lGhkz93D24TOMkyPSQJ+45MHXLBgsXiBq/P7FJkxsif4SIy12xEHj0Zi7AyBIBI56g8pV9AYDSEy5B2tsti+4Wp9VafXBKRo6Js5RlmU3BJDxoVQL/BSkXPGyATGoLOnZMip5rRv3nqR6/Ul63FZN0a2oe06ptGRppZvvPIi56slop8jh5Gz62uU+hNnhETKxEF/SNN3bP1IXg+kGHnx5gtoqXm+PCcIw+hG2rbBWEPIlZGuVeXpxwjN7BgBbHZPWF1f8MUXH6KFYiwClKz52lQNr8FX4tpuu65T1/1lN8ZCSbFOwyssGVKm6SwxK2KMCK0pRaIlhBQ5Ppyz2U7ElCtTvEh6K3GjR7eWKVdbZph2KCnomg4f0r6fUDdlQlbRWimFEhONlvs5LUSh9pfVjJGCSK4xKFd9D0Ip5m1PjIWf+9ov8Nm9j/n83vvVPp4TaQoY04DIfPLZPRohiEXTacO4OUdpQdfUDtYrb7zD4cGC7//gO3RdwzBdoyT7TlC1of6LH/wQgeVwccgUq6xuNznc82dkCqkkhnGocUxZiKVgtUHkTAh+HyfJUDRK1stGzoXRXzOcndEqg9USXwJSGBpMHVDGiBMjd26+gpUzLlaPagY710tyyYJiazcmh0hKgRhc3VYSkTmjZOawmXGwOOF8c8VnDz4leFcHbznRWEP0qbL2iyCniLINUhgmEQlEGhGxShJLpDE9i6MbXF08J+2n4apQn+Eqk4tACk3Me0u9ELWoaqptFyRStrg9YS9mMKrg45bL5/c5PTnm9PQm3o0suhneBc5X10w+8fTZs3r2UhZVIikl4jRBKnSzGVF6hEykUp+hmmv6fsboMo1pObs+59vf/Rbb3ZZHzx+zC65in4ctJQsgEGVbt7mqIPfiOqXrJSViaK0g5oD3gcbUSDDaEl1gdlARkUV42lbT9ifEcce8q5K99W4FpRDisN8u16HgOkakkNjWkmLYD2b/rA7xs56jk1tM45bbp3f4/OHnbMcBUrWPWt1wcX5GEgljOkIJCFXXRSGXOrXOtZiirCVHBymjdYvpLGlXYfvn/gm7pmXyCSEEQQW0aSEHXj2d8W9//S0eXntOj4744RePKckjrcZqw6ybs1pdEobM0czw1/7ir/Lh/Uc8fHbOy3df4XrnCG7gsO0RtCirUEUgcmWQR5mx1DVJERkpBIr91FhXscW879FaoxXkFIheE4zB+cDoRMUlKYGJmlQyRnqUUdxpDljtBl44POHBasOjZ88R0YOBtrGsV2ukDzRas3VVOQyC7RCJJHIsFRjj0349DaU2IxlN5a4nPzKIxDrv8PsPC0Taptm3wBMhaooU2EWPH0aMSnzppZd4eHaJyxFjFC5MCDSKRHKB58MFv/m732XYLZESfHJoZThoDavNxDaEauGTHqTh8fVIyoFWa45nhhANfhMJwbMNWwIBKQreJxZHR7jBsd1OxOB5f3hC110wxUjJkuX1GVIpdGsI08Ss67Gzhq+9eBNdAp+dX/PBozNKM8N0gWG3pu0MIQf6Zs5sPme5XYPIFOqlzFjNbusrNkxESg5En2nmHbEENnlCpgYrHCFlwi4znTQoDevlwOlixmJmuH16yMu3j8l7RvM4BdaD5+LJGS++epfl/ZH16Ekqo5MhRI0SCZ8Vne6I0zXzU/Ap8fAsoI0hKsWLL9/h5TtHXDw95ycPHhElBKH55OGGv/DLr/Lot85YOk/OHqUEyITDIHKiP5gR3I6YKiNXNQ1iTxW4efwCf/Pf/Hf5nW/9c3bTGpEKs37G3dt3ak9kdswnDx/StIVhdcWwC4SUoWS6zvD68YKXjuZ8eLblydUZUkRC9sRpqEXwJChC0JoGaW0lQYT6v09TnVIKWSdLRYIxLT4EFvYA2SjW2yUiayQaF6dKMdkfsImeYtQeZWaQQiMt5HGiCMOUB2LK9Ee3sIsOvxuJpdSIVhYU3TL4iJKSWDIKyTgNFZULWGPo2xkxBbxz2MYQQqERGmsbYp5IMSFF4my15h/8i3cZdpHra4/WmZhyPQRxwOJgUQt4OeFzIuw2kOslfhy2NEZidNVnxVAL79YUTDPj9NYrnD35jOgDsrUUqVAiY1pDToXkA5eX12QhOTqpOdQUKhmnty3BTxwuFhQB6+0OITJGCWICkqTIRCggSiFliTYKFyMiFZQsZFEouSCTAiFppGDRzlgODlECi7ZnO0U6K/Ep1QtKdGSRGIrjb/21v804RP7L3/jPUMUxxUhw+wM4CpcyzzbnyNhU9JooXLvAf/XBe4SiQBgote+ipUI1FlSV5fksmGmFlZZOGZ48ewAlMoVCLnB8cEwYt/RFsJWaKMFqSaMUPnj8NFFyoOw3r23bVHlcHMnR1eGNlGRZSFkTErR9Q1wFhKCSK0piu1sR4pL5PPG3v/EKnz3p+M/f+4RiNMYasvMUqRFFIJGM0bNdDvTdYd2KFcF2SjS9RnWWNAV62xP9BCZV4IEH7wPSVmldHC8gQ0oGP2x59PBDhK5ukJIipghuHt/m4vqCZASxZJA1huJ9BK1odMdLr75EmAaenT2phJe2Z4q1vyalIGaPkUAK1cLpoZESkUEJQZGar7z5Fd798H0mD0I1iFLQSuL9GlEgxMTcWLKuBWxtBMlHsncg6mVZZ4ERisPecjEOCFkJI0VmhMgIXcEKb7z+M9y5+yJ/+Ae/xwfvfsByuiREKDLRGkWDJmSB6Q/Z7Za4kpBGopqeMKzrZqJ4SgkgDf38GKRgef2MEGrpIctIKg6tBKEURInYrofhmuAyyFAnrcpgChhpiCWSUkboUr0r+5z2bNaShgndtszaIw7nC87Ov2C3myhktM4V5xkTbbsge09rW/ruiM3mCWdnT1DNjJImlDlAmJZh8wwrdaWn2DnLqyVC1gN4iHWQaJUguIlFv0Bq6kHcr5mmwrw7IomJWT/D+UDbGpaXazCCEDMpDxgJs9kBGQgloYQh5cjV2UMOF6eshurgMbJusHyqAjdVEX972ZNCaYvRktEnlJGQJkAiNMhIFXTJwnq35PDGjDs3TrnebHnj1l3yCOvpg70UcwtJQFNJZ7ppyZNDa8V2dPUCKiOExI2Dnl94503e/ewR5H0JOmbee//H3Lv3E7xLrLZrdruJRIJG0igNIeFiqhfWWEAUfM6kECjFAgGhBAjNlDLKWIJ3lFLYrSvFSxSBy5m5Ntj+ECvBdguEgnEaIAhQllwiJUlsq9Cllvpra+O/+V9/6kP8k4tz+r7msj754lOKqJlXozXBJ3zxSGOwSHyY0KLauijQNh2nh7egFISKvHT3Dj9874OKpEwrnjzbEn1VjxvT4ly9YfaHc0II1W4XE4u249e++hK/88klv/XuPXRjqpRCZEJwDFIRiBwcnjKNA588umB0DttYlttKUlFCs8uJJjgYBLq3KGOrkS7XfFSNKdW1chFVKWxVjQtVdr2kZI33mslrxlAvEV7V1anUEROqHTNqg/QZcrUaDqna2YzMjFOoBYhG8PjpE7Jz6KbHqoCIiaxBqjqBs1YwuYSWEp3F/oFekKpmLIXIJDK9aIh4tFWI/d930x6bh0SbgkgKRSFKQfKZ731yf2/cNThX8D5wsOjpSs/ab1E24uMOZSTOOVrRMObMFHcUKSBKWmtJKaF1zfgLZxBC07RzyA2v3/kq9z/7Qc2HKpC5ILWuNUEZENKgZKo8emXoO0P0NScZU8WuhZzJbmT96DH/0XpDXYEVtvOB09kh4+qakQiiYZwisEMLg8KitMIYTU6eMTgKEWUEYXLEKdDMDFEKcpI0jWamO24eHXDhRhZCM+sPKUXU0pk2GKM4mje89eotQoxcrbecNZJWgttO3Ln7Ai/evMPm3rbaBrNm9LuK+mwMu2lLABotWY6ZrYvcth1t3/LyC6f8/Fde4/cmx+pzBWEgR8E0SJpDj6Bw5+SIYQnjODHECUQmjRWt5dGYpDk4vcntGy9BiTx4ep+183z/3Xe5vLoi5Ilhu2MYJoQULBaH3L6VWW5G1qsnLOYLltszUlKM6x1GF/7NL7+IFZr3n18TSZSiOT06hTSRQuL4+JTHzx6hVV89D23D5C5ZLOb1d+kjh/2C3W5JQeDTCEIxDEvu3n6Dzfac9eYJKTiKgNbWBPbBouHs6hr2PO6+P6KzDcv1M6SQSAFaCKQuXG0u8QRKErXU1vdMbiLmxGx+zGa3ZGYMLkwQ66p7Gjy6FOa0VWKnJMoafuGrr/PBZ/cZRk9BIHQh+BFXMlcfLSkCSBAjlT5VMtvNFYX805egUaZysnWdthUEky90whKMoCjQwtTPt3c8ffwFOdTcqRu2eKVQsjLic8q45KuyXcO08yAEWoK1ipA8sSSc92jdYFQDIjE4V0vvqk7aq8WwljvLnuBiJISSKTkhha1raaUYXCTljHeBk3nDrb7jSfFsxy12tmAcNkiRiCGx2ho+ffAYvCDmRBGCxkr8lHAU+rYhxMhu2iHzhMwCrRpiycgYEDGQJDR2RnSOGyeHXKzOarSqqdbV6ANFJgoJJEiVSLkShIZhxe2+5W98+Q3+wQ8+ZSyeSRRcqpPIHBPWVC+F0prtdkVrNapYpuARIoMEowX9fA4R7j36lBjrIf50dsD5ek021RVyvVnzD374Ebv1RM6ixlGiBw0yC05Ob3K12RDchGl6ttsVWkHBMPodLk4YXec1s9kRm80l3qe6vdESK/ZT3aRJ2WGkRsiC0oZSKuVpnK4RpVpgn148Q0iB1VWGk1O9JP1JL01lyXa5RKqMshKywLlAyYUiIynu+e3UmOm8qYezssdrSqUpBd776INK29F1i300u1GtqghsO6OUqfZvbGG7S/sYq6dQQFhee/ErpCQqFporLrYbRC5IpUkhoIxBlkROga5r6PueUBxPLz4DVftJch9pjQFyrt8N2wpaOm4ev8yf/3N/mz/4/m/y5MlPkGpGjoGH9z/m/r33kFKRisTqjsX8gOX6ok6etWHedYQQWG2eVbRiAlE8Mim0ANUtcOME1EuEKzUyIkTGWIuSkla2zNtDvPecPX9KTAVTb0H13Sgki4OOr3z5bd774EOSq4M+qVui95Q80mhbsZNu3DPRPXPd4fyAbqEKBwRyPywrUtEYxRAC4/VFLW+ngG0ajIFf+eaf480XX+R3v/0dHj0/q1blUBDon8bmlsvr+nM0hkXTcz1uQAqm4EhFYGwLISAFWCxQTdOtaVAJnA/IRjHuBm7duMmbr7zAJ589YDWOSAS2U0Q3MviI1IInjx7zmGfknHj+5DmN1nTNgsF5MvXhKkIVQSkglohMkr6xSAUpRIJIbKLng/tnPL+6wliNMRaVG0SxPL9YQghM0xapTUXBFokugqm46hahZvuREqktISYUqUoqS31GtrZ2Y7SAyWVSytw4usU0rPFkdsunhBLIQvPOwS1evfManz55wsGRpLWKR08e1a1rUtw4Oaa1M643qz/bQ3zRAh8TYdqgWkFBoKUCWdDWkJIjxIhRlpwDtq2r1rwvCV2sL2hMx2J+yOX1CpEzWnQkGfFun6Enk2JESEErLX63o2D3xbzMF+sd/+v/z++x3mWu9uWGXARC5cpqL57GtnjnkKnw8RefIoxmoQ2rNHDcW0TWqCIRxZNLW2UzpmVxtCCWiVQCUAsruZSKqyyZUlt0aClprSGnBmNbjIkYlVA6II1EK7BCsCDzzkLzr2LBSckuDuziyHY5MkbAdtAJ2iJwfqKRHes9uk4JzeHBMWiJSYWz62umYSQUibaFlBxd2zKETMyCrumrDEjUiEgkIfeH9pQLpunrypjK2fXAvO2YQkGQKTmgbS0QkWtGcrvbEpRDWIWRLdl5sqKabIUmZY+2hhBCFWDJDFlQUiBLSdESZTquVh4/rusUQilCcHRNS3AeHz0MV5QEWmX0XsbhU6Y1Gmst22EiJI82iqP+FJcGvPf7db7helpRniX+4l/+ZRol+fhTR5ISaWp85fDAgKwXnhQcUtfCpJaKXGDWtQy5rspkzhilagb3eMFX3v4Sn917wOgHYtxjDaj5cBdqkfRqtakc+JTJBaQqzE7mXF6tuLh6TtdYxlhoZESlQhSacbdjDAPWWC43sGgKSiQ2Q2EXJ97//BGb7Y5Hl+uKOBQaZOD27YZPPjnHjw4fE27ypJKRlGoIppb2Zu0MaQxvvPYz/PW/9T8m+MRv/LO/x0/e/xbfW/4rYswIAZ+oQmk0tjHcOnWQIkpFuha0CnRNgyeQU8UZ/Pp33yOMkbUoFGUwwnK5XmKU5tbBMavVdS0FFonKGqsUQdXOgwsR0zSM05YUAqha2EzF413k3oMPEKoi0VICqzXBwY0bx8jisMbsv4eK4h2jcDUQYEyN5PhADAUfJ5TRe46yYbVdV6KNUmyHTUWwmq6SMkrl3CtpwEiuViussSQiIQY+v/eIcRzJQqAxnBwespk2TOPEYTPD2pbzVV3JezeSpMZ2C9xux+HhAZthiXe5WjuloIhcZVABohGIFDD77LuLCd1IpIy1+GxblK7G4RwjpEIMHq0gZEEmM7iRtmkqe38vHiJFpmmi4BG6EpZirqKTwt5inAoFmPczUspst+s6siiSRhl8jIgSqf1LiW4ahBT80oun/K2vvcH//re/xyZLdtsVOUeM1nS6QSD43ve/XUktsm5gDKJO3EupBfvGMmXH/4+3P+u1LTvTM7FntHPO1e3m9NEHgwwyyWSbmcyyMq2uBKmkUhnlrlyAbcCFuvCNf4F/ggHDgIG6tC+NclMwpCqrUiopG2UjkkmRDDKY0Uecfp+z29XNZvS+GIt56zQqoQPERQCBiDj7rDXnGN/3vs+jKGhliSlXQzeFxra1hCcSiMy67xkTNKY6OXKuk0xKJuVECAkpalE2kNDecJYcv/fJc3wWjKPDaEspEZAslifkNBJDJsQas0RYHtx/h5eXjynaE0ePyBC2VaSlSqIgcLFw2Q9EBE1RTGlgcBOLxQOUMcAaLTVRBLrGslrd5/bxA2R8xFkIzJcrNteXhAmMCiQZQBhm3Qlu8lzdXLGcL8jjnqTq8ymKmmEuFIRWeA+ZyBQijVlxvDql310DEhQUkcmpFn18dMy6Oqlt7QwrwKeJG1/zv6VEUixAHUCVUkDLWoSPAYTktOuQMvNiUsg4IUkHskyiHKR6EcXavUQpgRYw9jsgsx3q+6DtVsxnR7jLiePjBaB4ePYIKQrH8wVqnlFkhDSVh94YjG1xfsIFz7/92Q9pPnmPHByeglWCW8d3iHngaDVjxDPsB+K4JohIu1hWMV2ZY7Tl1skJ827F8xcPmXUt/VSY9lsaWaN4hVwPjLniaVOsQyAtNarxWG1JPjK5CSkNpzNTB16/soCahuh9fZ9EzT6MKAnn6+eUUPtqMdaCu5SS/TQhtSClyPpyg4wZ7xPnl08OYsmCLJl+8pAq0rdtLDPbUdxITB6p52ilUVriUmY2s4QscMOe2bwKp2q+XKBiBJt45fYd3n3rNZ4/fsRnTz8n+1DpRwlsqfjkdtaQy0RCEoUkJoUSom5GpCCkzP07d7i5usa5gLG2RlrIKKVYtR0FGIxgs9nwySeeMcLJ6h66tdxcX6B0lZBZq4guoqzA0DFMPbmougU7bIHabo4LjhIzk5swekZIHjf2rE7u4cLEkAJ2DJzHHRmBaDsaLKJt8AfIQIwQRVcv0LHUjo+s26NUAA5wkaJIU8IUi5SJ0/t3ubh8gYyCrl2itCK4iVYkgveE7AjlsMHMFYsqjOLJ+RcIKWnmR7jsePHsaS17W43RkourK0I4q6mmf5eHeADvh6oEjh1ZQDpMRdq2ZfLVvJVzwrZNXf2mULXSVuFcPFBtzthuBZHDul9rtNE0srDZJVIONKYl5EjXGlarW9xsbxiniXEqvJgmooDV8SnX1zfIEihJ0y46Tu6vePF8DdmjraU6wQpTqJl5eXR0KOAKpAjI0hBjZggTei+xTRWepFSo2N+6Wk45V4lVrge10h6jZYOdAsZ4rPHYAx9ZS4WSklFoPp5itb0pjY+eRjWsVku+8dpX+eSLv8CHx/h9j1CF7bDDak3vIlF5dm6LcJp7x6/xG9/5Jj/7xQ8POUVHyYJ4kJ6MzlNyAAklCabi0arSQebtHG0FQz8R3IDtFD4CSrDe7RBFUkot+sZQJzKIUsu7QtQ4gsvMDmSDo6M522Fkfvs+fr+m7TT9tmrmu8Zyb3XCx8+eEWM9bAgZISWMhc311UGX7HHjUNfNKFSRFDwlCfah0mmslbhpoqRKoSi0CDxDGJFCU0Rimjxfuf8am9GTvedf/fkfsu13aKOYnEMWgcyC3XYHqqmdjuRqSchaXBaIElGHAu/txQzbGdY3G3bjxO7ymh9u3mPIBXREbtdcnK85fnXB7npkux94cbmt/XshuFzv2YyOQSTeefsuP/q9n/HmG6corfjFB4+r1EhpjLR4n7DdDOs9z84DIcI791s+OYuIIfDF08R6PaCUYdWd4CfoGse7ry/4vT84QxnLMEUIVFmBrHlXgaeRlqOjFYXCfPUqr77xda6vX9Apielm7PoNftrSWsXuCp6ER8TBcfvuS9qmYRoG1v0aLwq2bao4phhiilxsJnJOaGPQxlbJSM5E6Xl5c14JClia2Yyp7ykukwqokiufOnqKlLR2SRQJrQ1T9FgjyTmQkkB2ClRACIMQgfObSxJVKieUZraYEUIg+YAsGS0SMWa0NEzTQBGSlDNKQU6S6D1WCFpV8GGksZJvfeNNWmv4Vz/4MZ1asHMjSmq0kWynkVk3Q2s4X++r50dmpJY0asbGbTDaVJHcVCk0BYVUFUeXBodCcXlxCTKj9Ix5p/HTntV8UXs/WuNKwApJomJh592MmALRR05Wt/jWN77N0xcvOHv+GS7kKsNpG7wbkcrU6bBMTDGwtA2L2W2uhpd1imo0SgqWsyXb/Q6tZe2LGBDE+uKI9YXkQiBnKCWhRFW9y8biXEKSiSHRb3tOT+9wnWf8X//NB2y8R8iC1ZqIQZSENi29m+AANRDYynhPhaIVMhY0BmKhEwaDQpmOZtVxtbmupcicaVTtG0kpWaxmyBF2/UARpcbNQqKUiCyGlKkK86ahHx1ZJUSGx9s1ySekrDSgnEBoQVEa7wRKZFQq9QBXQDaZ5bLlxdWORsmKfCyaHDMhCUSqhxTnPUUBRtKUGUFMnMxnvPtrX+ePfvSDyvZWlpAM3/v+PyDt91xefs6vf/VrfPb4c2Q7I7MnlUzRDSWDyJJXHrzD47PPGHxPAVIBXQrFSDpqAT6GQ8xDaRKRmBzPn31xoIPUaKWsbNe/JJ8gFAYwwiCLJ6TKrS6pYhqlqHniGD1ZGJQyCAFWK8aYeLLeUIB2Nkc2Bh/zX0raEFBkQZVSscVG141R1njviGnCtnNUE3F+h7WSOGXm845Jj/TjWAc9IRNLHX7VPHlh1nSEkAmpx6pM9GMdGgqIY2AQe6KvF8L91IOCeTtjCCPr9TmDH3n2e/8ntBbMFh2tFUhlWF9fEpEVcJAStm0Zhh5rFMIqfHTElLESsov1O51zxQQeyvn7/R5ERCSBWnYk5ykxE7Thy+/8Fg8f/ZgQeijVebE/CARjru84SoEMMWQ+ffhFJR9ZhS0SYyw+OojlgMFMaNlQsiY4yZQiLiXwO1pjSVrwla98ixcvvmA/bmnmHT5HhG7QMiCcI2lNyIWff/I5ZzcbPvzic3LyRKkQQhKzY3a04iunr3C127DeTWTv2KeDhbXkWiZuayxTa41Q8oCgzBUDIkWVAOoFUsB+3+MopD4jlWGzu2CRZ8gcSDnTtpJGaLaiEHwmyYAxLbcWc8636/ocEpJxdCBguVqy3+1Icap+CSVpG0NJM2IoJJHp3a4+b92Ik5nl/C6X14+QMbNoOjZuqACDlAi50FA7Orpp0MVASmSV8d5jtWRKmfV6XeEbohBKYj67g08vae2KfnxCHKgDNDTFauwUmUZHjycLgRo3UFR1zaSI1BBSQck6+S//ruM0EsNs1rAfqPrqHLDG0LYtmYzShtnyiDiN3F7d58Xl07qaRtNkQbOc152z6MjF0NmENmAaSWdbvA/s+vMq0UgRoQVWWO7eus1uP0AeEEFxdOc25zfnrNdXNDNDKQofE9IU7t2+w+5mot94oqoIoUjlnN7q5nzpnbcRaeDs/IYQCqapL7da5opkKUFLooiUWEslVXOeKTERUyTESIgghK2FGCUOD0woSoCughCnFbtoa+xAhCpokYa3vvRt/vbf/Uf8v/6rLS+fPSMJz2mneJESuISS0DZzSJ5x2vLMP+Omn9jHiiPqGk0xEl9qKSnlQnY1n6qNRQnB6KeK5xQRXTQhFRrTgaz2wJv1JSIPSGHxuZCZKAVEyeRyeIkZDaahREcINXLR2jmdndGWwAbD1c2GGGrOOASPFYVCYD5raFB86e1f48Grr/OTH/8xJU1s+pHf/spr9LuRX1ys6wZkbrh971WePXmJTi3j2JOSRCLJyaOUQTWC4KoaRlaaFmMK/OyLzygUvM+UYYOSiugnrGqqGrpTpJxpNFDqoXSaAv3oAYkgM5SR1WrJt77+Dr/xza/yxz/4OT/+6CP6aUILyKZh2Ay0DfzJP/8h/+P/9d/jF//8l2x3jmcvNlVNLzX9bmTTT3zp229zc7ZhvHCsvnaHprMYrfHB0btMLHWLkEsiUpFp//yHe/6Tf3Cf//P/8zEvLwtF1ILju68+4PbJXR4/+4Tf+bUVv/iLG87WgnHcYXTDOvdICdFlxCxiVEu/3zC8jLTdiocf/ZT/x3/5XyCUYLu9IA87lJ/q+jXUFfDNdo1Wiv22R7ctpolcb68rQq9ktG4oQhJ8jxAKa6sG3A0jUsu6QQsTCU3bLDC2o5uv2O825JAoBVxKWKWBmsGUpq4jZUyIkgk+VKxhLSmQfSHKEakVx0dH9PuRJAu+CKZhIOWMFDV/WXLNGiYR60tHKqQQ6Lb2G4QwROFJQmGFYj5f8K1f+zKm1fz4lx8yOcXSSCbvEFLVTGuM+D6z6GY03Zw+7hHFcHZzU8ttPpBiIcmIlIrVbMk6jwiZkDkSpEFJiROJFAZCEBgDkYOlMheyVNU3kTJtW6fsCInWklurFYujFf7xp7QmobNk8AVrLSL72u0ool6gfMKnie30EucnipAoURBZMI491ipUKJjZghgGnJuqMC9nlstTyq4nhT3KFlSUlKJpZjNihkZEhhDJUnC6PGVxco8fP3+JTzVqGL1H6K5u7lyPKNXPE6VEJbDmmCB2dKIQBZQcCUJgrMLHyMp23H3tFdb9mhAShUxJkq6ZkXJm1Zwgi6jo1BSY6RahHWMQtSQnDavZgqVpiOmaWDwpZkoWdUBUFDEnpDQVJztua/H9ML0vqeCD4/nzR4CHUrh164hhN7KNEyFW3rsUCqsKqgGJJvqA0YbkEs/Pz9A6M18Z0ljdF7vdjh/96b/EDxNTusHFRHSBIqot1MVfbRTgcnvFUuSKIfWBVDLztkMVCGRuPbjL2dNLiohkLUBqRCl4P1LKgfjlA9bWQ/y8s0y+UpYkFmkzs3bOZhzJSbPoLDFL9mOkyIoMzSFCCQhTSJVliUz1PZ8z+GkErVEpk8l1M1MkPo0YJQlRsFock6JntxvqxV0ZZu0ROSXctOX45JjtZoN0dWvocsa7HVlklBaUXFh2S1wcCcOmbuQ1UBJhyjS6QZkGR8Y7j5KS7eFz0bUdm6HGJYqQpDgRwx5l5whtuRiuaGcnuHBeS6VRoKxlN62JMSFUw6JbHuKSNaIWcuS1u2+y6a9Jk0OJSs/KRHIotR9nFmx3V/WSLAvnLz5FJk9OlZMffS2vLlrLg1e/xNOnj4hpB6KiE0mZnDVS1HjU5BwlJdAaLVPdChhDloIQQoV0SI0SAaUFMQs+e/wZZIcQql6MSqZrDNHDanmP0Xn8uOHRpx/x2ceJ3dhXf4HRpBiYLRa8fucN/vH3f52f/vIDfvTR5xTTk4tE5gxS147jFJC68PTFCwBm7YqmKbjoiSmzWizYbTY1iqLEAeVsKD7X50L2zFrD4ODB6QO+/uV3+dOf/Bmb/Z4CRB+53kYgEQ/DRaklOQimUIfBPlbKltaSuRDsQy1wJynwAkiZ4AI+B2I4q5Sx7Gk6iyIhlawbp1xQxuDjxPF8RSslT85fglYUBGMuZClI067+v4XKuzF3O2y8y3ZzhjhQCguZ/bBHKI0CjGppWss4DCSfKUTaziJt7b6lFFHK0DRzQtmR4n9/Qs1f+RDvsydNAURBpIryKkrz733nS+z3hfc+eMq4vwEhSLIKZqTUaAzvvv4252PPbruj627RGEMnMls3cXr7iN36it4ltLK0smHwnqPFKaJRvP/x+4jS0Ng5xhienj8BUafb4xiZLWa0IjN4x4cfPsSHQJGCcQq0dsIYTYmOTIcB3n7zVS42PS4KkqxTC4ohUTBEQmlosiEUSDlVGchBDx1DIPiJNKzrjVRW8YtUdQuhpETLOjEwh5lXlh5Uqsiz5Pnk4Ufc/NcT5+uLOlGXlhsXyEkSpMKalhgqy9c2ChdGxqtHNDNLTBEXR05Xd+jHnlAis/mcOFXmOcKQg8ciEEawH3cMsk5MsZphHMk+EHNECFPb5qKgiqG0QKgdgNOjO1xvbzBKooVBFs04jVxd31DI3Fl1yNJQUmTWdjg3kYXgt77/XZ48OeO9Dz7F43n88jGmucV2nBingULh/YdnJB8pQhBixT0Ou0hM9aHW2hlSxUo4MDDFSCcbomwxjawXylAPQVoqUkx0bYPIhSASokhWc00/JqTpuLc4pqjE+cUl2hiSKhglIEZCzARRM4ApZobBV+GDr9GEN968w3oaCBvFNCZefH7JD/7gPf6H/+i3ePyzL3h+fsH1YCtutLW88ZvvUIA//id/hkrwwefP2DtPpoohCgIlIl5kdBGkDNI2/PzjgftLz//uf/Yq//WfXvDeZwPj1QW71YI37wj+k7/V8uJi4J/8yTXTVIk/w+RpTFelStIRA4Q8Iq1CkJiGHeflEzY/uahOg35X5TwFIgEjFWOIqDJw9tLRtCcEWVgsNH4K+DihRURpwbofD5O7upnSDaxsQ+8cKdRpjDKQY2B2ckxIPUjIMVOUrC9X2RBTpFssSWHEAjEG2q7BO0+ICWst+ISStRQufSaOA19+7XU+f3yJJjKMu0O7X9UDsFkSY18z3KVgteD+/Xe4uHxGCYnWCKaocEXSSsHp8hY/+ehzri6u2A49ISRSkqy6BXdmMx7enBNiqMWkOJJ9YZoG5rNTUg5kagfHzhXeOwAuNhtyKWitOF0uuZkcWdRIUSmQU6SRHT4XjG5rHSwmMhNGFZCKNx68ydPzM0oJXGx2rH/0A0Qc+P5XX+fPP3yCyDC6SqVqumoDdj5glGCImcYkFHXCX5L8yym9bTXeBfT8lFJy3Ui4jDKJIxJeNwQ9IoqgkTCEHtc7Sta4UihCMTMtz86fcX75nO2wZz6z+BRQaLwPhBxpGknTdoQoKCFw9+4pv/7r3+fxF5/wyRcfkHSCJLEIvPMkmVm7DfFpptGVFoVUVQKWIi4kHp8/pIhUSS/isOVsZviwpxEFFzO73Y7cRaJz2EaCPlyOyFAKqWS01LRHc1y/Y7cfmFnL6Z0jrs+vaxchhbqVU4KLy5sKEaCAEHSzJcerI/abayIjKWZkpGL2lGVKNS71n/3j3+X3f/wJP/3gMbIUNtunNXMsE8OwJ0sBWnLr6C6Xl9doFL/55j28H/jl83NiKTV/rQ1JSBaLDoY9Vy83LGbHbDbnlYcrMjnLg1p+RskZIQNLrRlzIPrE5CozXmdDCAP7YUA3mkJh3w/MuwWmVeQQCaH2pozMtVxbMvupfq6XbVvRz85XOEVMVfqWI1pYrGpBgiiOMLlKYimZebfAj3uC79HGIApsbzb44EkhopSqCaCSETFj7ZyYIyFMyJIZYzU9q0McNJdqZwrBM58dY41kN+2hSJI1xFg4ObnHtt8gZTlYjRuELhgl+cq73+TXv/Edfv8P/lukUJxfX7BoNcae8ujJY6QIIAIgUELgckCUxMXNU6ILaClrzFIkyJJi6vPpenNRnSnK1A1F8dW7QUErg2ka7tx+nafPv6gXNwNWwbGZMY4Twjac3vo619ePMCUyhkTUBd2taFTBuyvCVBA6gqloRF0MUWRsrkK9u8dzjLzN0/NHGK1o57d5cPctHj3+kM24JmWBEJr1fouUAms0GUEhkRFEH7jcrPnjz19yuQ5Io5DREkP9zr394G0u+mt260tmyyUjibDrGf2WlCpi20VRrd5K0DYdJRVirqXuwIRIAoaEwYBIXF1f8N7HoUYsZRVECiVRpW5jhimQhKIVmiwzYfKYbkbDyKqbs/cTTy5f1O9UiJyenLAbepp2jsu5enzi/kCESWz3I1oqxhCQsqBzJk4Ja1u+/ta7jEPPk8tLSlIIHckZTKOJLiDQWCXQonBz+RlWLyB6lu0xPgdCnlDSIA89mxwi+8EjSqXCZSVrKkVIwDM3bUXo5hHyv+NJPKKaG+ezI2SxeH8DJfP500smVycIXTNj8pmr87NadiqgZy0fP3tCUoYHD+7w5itvc9TdpTWJpy/PeHxxyb73DNOIVSB1oVT6Wz2cCokPgcXJbZRU+HhY49cIH9E5RAqEDLEUXr9/n37c0UdFih5ZBEY27HcTjx49op9gs+nRRdU1qZFIlQk5YUvFjeXDDzemREgZFxI2RlyMOB/wbqwrrphIWRxY9gJRKr1JigKy5q4oAlsAEnsR2F88o0k7bFRIJfjmactsdo+fPD1jcB6hCquTu1xfvuC4bTheLfj84ozoSrXgGsPrb3yJh589ZNie0yw6IGJFtQsWYRAoolRMqUYDprBjSpVSYazm1dv3WdiGTx4/ok+p3gyVIiZHKJF9v60SiRTQ+leM/ir08D5ysREs2sKt5YqjB99hd/kpN7sXfPHsnIvLc4QWNNKw377kz3/6L1m1DaNIGG3BGMZxXw+FFNw08qLvCaVghEIoiQ+R1jZ4x4FiU9f3KczpZicYuaPpGqa+ZywenK+3XWVJJeBd4PW7b3D79qv8h3//P+Sf/9H/h916U5nFwlZqj8woW5gvZkwh8bMPHvLeJ88Zpj1D8hglePjsgn3co4WmURYEfPyjD+k3Pb/1u9/mje+9VckvQuCmwMc//YKHf/GEYRgxRrO+2VeUmDwIXiSUpFGFSpJp5gTfM03wT/8o8uHDHf/4b97jP/5bt8mhoFRijM/5p394zo/fn7gccxX0WMG9pWE7FHYu0RqNiJGYI1OWdA04N2BEwOiW7c0NRR207mRSyNiuRcqK5vuVCVAB692eBlk/21EwxD2N0GA1ISWsEKQp4BuLsS2tnpGyZxw2iAKXl9XaXIrCGlM51KK++JOGmCey9wcHVJ24FJFo2rrKTwKKPzDccyEry/LWnG59g9sHipLM5ktyqrSLPjmEUtUILA1aay4uLqvFVcPi6Bh3fYNWoETmN959g599+hGfPHyOP8Tl5q3lb7zzNrve8fnNJappWM5ahl1fD4eqYep3mEbz+iuv8OzpYxIRoSQlZnRnMaIQp8TNOOJSRIWKlstCMpvNiIgqaxGmmjBLJgJJSiaReHL5GE9BpcIwrYm7hNSF3//Z8JcOAyk0OQXGGA/eBIglkaMiqEBjFDmX2iloFvhxS/KJXAp+syXLQi4Oiib5zIv1DSEWfHYYrRFqVkkzKZBjQOpqGR3GHi0F4bAG/hUNRktLpwUhQ9NoxmHCNEtESbzx6pf53d/+Pj8IgYfPPkdlf1i7J4Kvz8V04LobrfAhY5sZPkxARoWCkgmfIkJopliIYaSjwTQL/NQTi6MUzXboSVKglEKmTCwFI2yFLQiJlIXr80uUqs/plArr9YamaZicx8WALKkq1ItmtbrDUByx37JsLL/1la/x/qPP+PzsYf2AxlI3rlojiuTxs0t+/MsnlGxQB8BDihUTqpWlyIpazL6wDhvKgZQ19Dtko+v5j2q6vd5cMV90uIM9E0bcMKKEqvEfHw6xl0IMtSuiGsu+eErKKBEwCiDTWEmPwACNMKS2w4c6vdZIjJnhy4TSHTmPCK2RqTBvTYUJSFMNzBaEDySjiBmskBAjMWfQldLmxh3F1u30nVv3OD+PhDiQk0CVQiwgRKFIWc3bvqJIQSGaBhOoeXFleO3+O1xeP63xPCNRKeGzq12RHClB4Ycagbt99xbSF7bDBLnQWktOCaMaTGMZ3MTy5ITf/O3f5pcfvc8v3vsJPntEzpTpcPYuhcklZt2K3f6Kziq8E5VJLgQYRciClDWCVDeUUuGmRNvaGktJme2wPuTDK6Yz5cCu36Ks5vnLj5EIOrvkzdMFzy7g0nk26+dIGRjdQDu7y+Q2eH9DydDOOobJo0okujqGjAJEUkSRCCVys9siyoaT26+w7XekKXF+9oTke0KqA5a2schW0O8Hoot0x3OCy+QUEUaz3V7y5z++hpSrxbYczLbW8PLmnO24pzOGOI5EIVDSYgy46AmxfpanaY3OmtdPX+Pq5gWbYVd7U0USdT1o5pRYLRd8/Rtf570PfkEm4w+lc3Kmz4W56TBGM58t2e03QEW9drph5ya6+YxNP5JyodOG0mhEruc2XyZiFDx45S0uL88IDKQsUCUcYi3voMrgAAEAAElEQVSJjGS5OmHyA7kItm7i4fNnNeqUPdIalIJFu6ob3BgOtDQPY2ASl0jxq/SHIMc6rNU50zRLYtyjcyGUerZcLjr2OVFGh1aK1jRMIiBKJWb9dfz6Kx/iFQpVCn6qtJf58i6b7QWffnGGsYIUKwc0Zkkj6l8RmFJBAEujabTi7v0H/OY3/33mbcNP3v8J409/xLi5Ar9heWxwsXJ6d/sryKZOYYyg79dIpYjeIYVgvlwdOMeeogRNY0Epnl6+wBpJ2ymiUKSSsHqGFJVxPA5jRahJeUBDFaIPaKnxXqBUIsWJprR1WpoylIhInugUg5SIQ7k1hrquOS6emAO1n18PJ1IbhMooFYiqTtmTkPjsmULmatejhWfRSlqbETkSg+PVuw/4zrd+g3/1+/+Kd1aFb917wJP1DcUXpFTMbANF4JKjaTpirP9tLXXNiyIIJZG9Y7Gcc2t2i+f9RKIgteLozuv8zt/+HeZp5GKzI69vKLJSg5QWPLj/ZR4/+qQSP0xDzp5UClpa8q9kKsmznQLFCdaf/qCW74Til598zsqIilASEiUMQgXGWFFM3k24KSC1RCqL8Al9yN1VDJWCEFBJUqwBmVAiIUqp/GQvuX1yl5t1QiIwtqHRVX39xpuv8/zZNbsSiKUiOFOIXO0nJl9wUyR6WC409x7c5ubG4caefuwR2eOsIRymuaUkihLVrJegtIIcHDE3bPtE/4vHPP34Gbdu38IajSmWnh1h0LX7CuSsQdTDUMypbjWKJBqBDhCmxDRUEVnIkSw1P/3M89MvHnE8Uyy7GtEZvDyY5CBMFZ2lZeY/+LU3+eefPOOm93VCrtoaB0GSRaGxihBhvb2s9l1fy0JaS1rbMiVPSQGZq9Rm5y5pdYuOHl+qeAWdkE5w/97rvFifY1RACFXLTMmRkUS3RsnEK6f3SAieXrzk7r0T+p2nnyZaKRiSq/llKYjZIYwkp4zRgrGvOXmVqStYMlkqfK7fzWno+cGPfgG6bokKhX7YklPlquc0gbRoa0mAjAIXr1BSMG9m9Dt/GAQ4Srfi93/yS242F4wx0DZtjZ8UifMDLzYXkCMpJLZTPbgWkSgpkqhFz4uXL5GHUrQREmkSfnL0qRJyTBF0WhOR2AwuOryfsMIwxLEK5XIhZU+jDUNO6AL7fnvIX2os6tBNEYSpMt+tXhLiiGor67lrWlKOzJvblJzZ+B0oizyYM6WyFeQRE0YbXJlQKSG0pSnVOj2ljJCV2b9Y3MYPI1HUjGvb1mL54CZQEELGlxpC6xQUD4jClEaskQQvMKZh9BsMmmbWcbPuefriBTkllF4wjJvajzAHupaf6G8uQSqOjk/4+te+xyeffcDl9TOEgmEKqKaiS60WNHrO66+8Stc2fPDxB6gUQXbEFLASdIIp5SoaKoVG1oOvFwGNoTs6YVjfkCUQEkkUpLQYMdGoBiEAoZj8WGOQRM5vrvjXf/5nbKYRqTvUDOI+4t2AbRtCnEhR8yc//wCfMsbOCdOELKr2qUSpK3NV+wWzthqaF/MVj/eZ7cUVSmiKgJvNBYt2Rh6hXa0Y3YjIiVgCUmm0bcllpIgardJNFSimWGgbjV3OUUUx7W8QLrAPNyiloWRGvyPmOhxTRuLHRFCGTtVhT06JNpaKetS5Dm98ZHl8RD9skSVRs/AaazuScBghGKJDGYOQCqJEScGzF0+QJWGsoWsW7LYbbDcnupFYMn4aMKKiVUmRqb9GAJXZl3h+8ZiSCnq+oITING5obYOmEMaaeVZaUaTAjQ6REi56fPBIKi5adxB9T46JH/7o9/n4kw+5unrO5AcQGm0b9uMOWTIiS4qQxAQlZWxuWMwadi6AzkTnCQeefoqHd1RTI3PJeZbdkl2u1vP9bqKIyOQqM77IS1bzU8Zhjw8TAcEH5z3DNAECGXoKAYFiuZxBHtgO9ffRKIlMCW0ajk4e0HZLrq+fEF3Gp5GcBNtxj5KGhZqhykTKPcN+SwgBbbvqATCWmALGmBofdpkUA9oqpDKklElhoqhCYxt0bAlNJMTEflijU2Is1euhpMUaQ6M0LoPC121ZNti2A6sqLU81nN66TT/sMXlgnDIyJ/pxOmxcLCpPNFaD1gzjhBSCfjdidMu+39aIrzH44MnpBt00XNxcE1PFl0+hnuM23hOKJBEQUrLdbOhWS+I2Ikks5kt2mxuKosrx2gZpG2KU/OKjTzDZM9cCIWYMeazG3WLReFzIoDzIjMuJmDJSZaTwlLGghMXohhwdw3aH1qIOd1J9vloPaRqpFVbN2u9RFLLUFFH+Wpqtf3U6Ta6ryeR7cgkIMaPpDBHBarbier3GuYjWgilOJFXzhK1StPaYB4uW7736Grdvvclv/nu/y/FqwXY/8ujD97lsLWJ5zH/0rXf4008/5aG7JvhaeIw5orSmlQ2BWPP4QuL3O5Cqqp6LxAjJbhhRWuJjQacZQkQWTYNgInjDPkn0tKeUgCiC7AXMLD6CioVWZaTMlBxRolTpR8l0tvDguBCKxwXJ0INzklJkjb6kQCyZTFVIF/ErUZSgCGqRqQQUYE3Ds8s9s1bx7S+/yY9+8QmNrisgYwuX2wt+8OMf0o8bfjw6/u3ZDUUrIFOKR8oleZwwKnPv1qtsNuds/UQWmsFPtLpOO7SWlQDT9rWEJjXf+853cWPgl7/4iN2+ateLtqTg+FVD23mPMg1KArEqQci+oj5NlW9pafDjSBE176ytBGUoKeONrIriIeBSYbWc0dgj1psbsshombBCMrmJkAsyzkkxI7TBKEVIgVwghLFOu6ZSvTxCY0zi7PIL7t39MiL0eLOnazVXLy9ZXw50psE2HfPVkl2MXDz9kEf/909p2yXWaL7yygojFHeXCz7Ze84GgcyWeduRylS5ykXUXLAR5FKRpURFLhrtCzl5VrpDFM3N9UDTzJDFoURVRweodkRGRBTVCGhnWG0pprJ8SZX375RCellXuDESfGK1mtGPiaU+gtISww5tW1yeKikJQcDwX/7iIUMIlKap63OR0bbKKuJYy82JgPOFk9UtXHIE/ytrryJPAdsYlDWM40RyieADuipWwARUyVgt+fKbX6bIxNOLpwiVKFmhpCb7gG0EQsBlf02KBYXk5mqHkpKj+YJCwPUeozQCyKqtRdE4kbOqGfYiSBScG9FUMk1KNc5w0jRsgycEiZnVC2qMlU8ucsLULBvvvvoaj19esNvvQFRW9XbcQ9HoA5s6+4mL9YifMsa2CGHRCByJf/vkjN20J4SI0YaSYhWiiFq61bJmoaVtaIym7z3zdkFKAXzNOSLqv3e5WHJ1/ZJ333qD680Nj8+vmPKEkqpiZ339XsWUkDkfOOoHHfrBqwGVrqSERElFSmO9PKS6nXKxkm2sbYjRIQOE5JnpBW2jcMKjmxm4RDWwFlwCGQsTVfyilEakhCya3/jSd3h2/oyPHn9AzUIWVEmIWiuuURUEQlgW8yV7MTK6ESmqbOnLr3ydn332i7ohEJnPH37I2dVzLl88IqRccZZFkEs1RdvWsBvqZK+kwOgDR6s7HM+fcn6eD8KhukXN2TH6SNdWRvX6as1idsT8+DZnlxcoUy9OqghiSmRR3wtNo+lDpKREFJF+c0PKgZIr7abO5SKzxhJjxNqGIUYa5YnBk5QgT56rEOlmK+Ztx62793jmP8ZnsFIwhlT/TcVADLWcmmq/QclaAMylABIhaqeHANlNFXkMFOp3T0rDGHuUyEiRWTQtSwOr1vDF+ZYQRkyj8UOsn3EfUBKMqhbS/RAoZST6iBaZrCRlrBQRf9g0CDJuzDSNJofC6tZt2lTod1cgMjEm+r5HaUgZpkvH6b1XmLWJcVjXDW2cSFKQQ0IeTN0iyhqraueE4AjO0/cB73JFIafal9AJQikEJSjRczRf4VMk5QojUFIjtIGYCNHhnKNravdNqjo9BomLBaUy47gjJWhmNacvhSQLzTiMFRtYCsNuy7DdEkvCHEhul2GPTALTaHJMlDjgiqtSoZhAWoyOCCFIqvo9nI+gag9h2w8gEsZIQokYKxF5orMdwzAgZKU95VTYDDuii4gUySojWoMqmuw95EM2S8LlzVMoEpELRkuGYULphpQSIRbMr7aPcaKbt4T9AMVScuL52cd1eJYzYwhoXe2pSlaKlS8RfZD+lQSNairyMLhKqBMFkQSlCMYUaZTh3r0TdKs5e3rGmCa0kGhjGYYNpV0yN5ZEZnCRnAr7sef8/ClFlEq6KwURI0ZqzBx6l+n9xM9+8XHdLMoK6CDkOogqBYlAKhBo7t69R84w9dek4igh4nKu3HhFze1LRSkTitpXCSkzjTveOrlH2AomJDGMKFmIuRBi5uryBZ1tap8HGHPEKojRUYSqxWCx5W9//2v84P1nXPVbpjBSkkBJQzPTkAPFZULyla4nZY3lpopKVXbGNAzsxh2agpIKlxJJSFJ2tMYg3aEn/u/qEK9Viy6JIqu+OuWMMpowjqynNaVkoNC0huCpBkJN/YHrluvBczUKys7x6eePWa6OuN6+RAiHJmMM/NGHH7MeR0oRaF0q679YhGpo2hOY1ohW1nVS9mgjWcxeRVhD02jC2edM0SGlxrkerTQZxdiv0WrGMAQEM4QEVzyttBVHWAoy1Za91gahJNfDRNMoZtozjZJVY2lnhs9fToxjzQAboxhiYgqSIdWiWSmlvuwOLwhZDluMDKrAaq7Y9xPXux3vbff4IKD4OmV0kpACQxzqA2pKFKkp04iQFV94019x+fEV1liUHDGtIqwjwiteu/UGqew532wQh4/Hy6uXKK1ZzDve/tKbvPfez/ngL95DCEErFd4NhzyxxmfB2dkjlotTfJgo8oCZo97QZ90MoQSlRPTqNp2R7Dc7IqFiC3MmOYuQ9csurcD5QAhbkAkRC+18Tggj2iisUjjXo3RbFd37HUYbVu2cmBx98EBGCo0oCSEks06wOtK8ffcrpDTx+OqG/eaGIXjunN5ipjXX/QRC4X3Gu2uk7pBWc7MdmbcNX379bYztePHzXyIFOKqARSdBYzpmd47oROTi5SVSanzJtI1GS8EUMmNOWCXZ7tbMikCYhI26YvNEYRxGpIgk1YBLMDlKCIhGkUvEFkNuZlUSFRJCFkyuv8/TZUNIhu3gWR5Zrp3hcr1Fa4UvE0FkTJKMUVIIWNOArg9vkkLZBvSIjwkhbZ1EJodzEymONGZBKZWg5GOkiugixlpyTrTtCUKLwws74on86Y9/n/nslONmxW7akHPlRt+6/Qp+2DK4LaUEWtsSvKtUmBBoVx2t7Bh7jygKYwtJ1niaKIKSIlpohBBkCtpIcgp4L7DdjLtHDf/5P/w2/+SPP+D9z69wYyKVAkVCzpRCfQ6VxMzMkOLw9/IwTW5aZBRkGclCIbXB73a1FJsz5ICPgVm7ZD9OmFnDm/M5bx11fLCbaBev8/TZxwSZkUViNbxy5wQfMil4bJMAS8AgUfRjYNjtGPotp6slf+PXv8L7n3zO2c01yWtss+Do+JidvMRPFWdnm5acE7OuJYRITIWSa9xIllIvpc0RvdtyfHSXq+0ZRSmiq/Kr6+1ZLYHnTNu23D69Swx7ri83KKWwnWYaxrrZOGCBrbVkGfBT5vbRbYZ+4pOzS9Y3Z2gNrVL0IXDjhvpylJZcKhO6aSX7YYObagxLGEWIghfbK5QpGNWSxsTZ2Uv0xTOC9+SiKg2MgrCqfv6K5e7xksnv2fUTw37Ln/zZ7zG5gawkq9UttHdcbPfMW7C2xY8TT588ZN62hFI479ek4jFC1clxLCRlaY3Gu5GAQQgLpVJzlExoI0kRSpE1+mg1ylhSSPgSeefOLbZxYlp7bLZEW5nrKXlWzQkrM+O50MgU6uENRToQdUTJWNvgvKBV1RIaY0K1luwrXlQZi82S7W7P8ckCozvc5FG6WjiL1EwpwOS4/+Aev35/zpvLJS/Wf4EfJWVyCKqdNQmJVvUaoKWFFHBpQsiM0hXfKYzCRY8SBWPAJ8Gtk3v0w5oiBN/6xt/i8vqKTz75AUImShI0TUNJma41TG5kc32JlqrKsFIhyMrcF0kx6zqKd/TRkUsErykxouRhIyIE0hqsorLhZSXFlFzQUrLrt9WgHakHwnGga9paYj3EiFKum1VpJT4USoxoqBNTAVhLcB4rFbax1bRaGgSJVBwBjxZ1RRpcpamVnGl0hy8BpUu9aOXCvG3rFlZKVICvnR4RZeRsFLzc7hE6UqKgm83IxYMo9H6qEdxciUi6rZhaGauNOXuPMRWh6cLA7ZPbDENkZg3OOXKp8cV6yTr8nK0lTiOvffk+508v2K/PuL4JHHUdNkJwocIrUsanSNMtycGjjWGh1AHpWjfg0SeKiERlkMqS/URHh0KwCwElEo1tUCUxuoBAMo4Dz68SjTZMKWKMQQB9vwM0w7hDK4OUBWsMqJYUfX0mSMFq2fHu27d45/5X+aMf/pKLm4kUHSInfJho5qdoWZg2L7FWIajm8ygCMUVkKey2N1WMlRzkgkDQaM0YPMVX6aSQhabpmCGYYiQFjy+J51fX+BSJJWLKYUCSCq22aKWZQkSEa7RqSEXgQsGUQlYQYqA0Fbvqfc+u3yNVNQwLWRg2O0o5TOGlIJVEVg1SCKwRNNKiTUOK1emScyaWTBFwNJuzHar3Rop/x4f4IsFLKDGhi+DO6i6JxH4/gCos5wuG7Q0qZZKUxJyIUdK1M4J3HB2v+OK659x+gP8XlwhzixcvaznwZqgs3KvdiEgZkTIThy8/kVw83m2wbYMMAqEdjW5pZcvd26/w6cOfsymJViqsVOydQzaWxkApsaYCRcH5gZIE88UCAOcLxgaEzqQEwWd2e8FqMUMVQ1KRFASbPvPhs56TZcR5jSsCHSVyLPiYGMIBpVYv/pTDCzMVUcsjJZAEDBNkJgCyKKx9j24lF1c9aIFSlq7t0NkzakFrW6ydE5IgxR4XXP2SHPTG5zdbCg0ZRRKZt956g+fnj0hXl2AlOhVSKZSU6YeJf/lHP2C/vSTnOsUrpUZ0kpAkYZFGU1LPNFXzHhTeuf82JMnN/il/53e/x+t3T/mDn36K9y3Pzj4lCPAh89adN3j37Xf4wXt/SGcN1/s9yPqiTMKjjWV5siC7wOgFIiUQpr58CoQQsLp+UTbTRMy+cltz/TzEEFjOG05PTvmtb36Nf/Dv/0POrq74Z//i97l+ecb5xQU7o3jjq29z9cma7W5/oAl5vD8DVRiFYO0m/qt/8yPu3/8KuuuY9luOjKIfRrSUDGFgfOmxpmEYE9IKdGPIKTP5jDCSkGCMmYKpq2Yp8EKiZOFIryqNpWhkjMQg0SozOYGRkZIiXhZSTDRS40hEFIiqsn55viUrw77fItZgxIz50Zzt1TVZGygjLgAlIDNIMVVOcAkYX/ib33qN0N/jDz76jJxq32Oc9siSkcBsdYKQgulmILjA6YPbpPUGHyZUAcKeECVWVzGQjAWUYO92dLOGVCQxTnSNYeo3OLetGVFjyLleXQUObSybTX8op0UyiehA2oyUCh8F3XxBIeGnAYSkhFTJAdLSzY/ZjVv+8L0niOYIM98jfCBnR/RVGS+0RCSQxvD+w89JKdC1M7L3NG3Fph4t71EUJGXYr9csFscMuzVZ1akgShNyLeiWMfK1t4/5x994l//DH/5bnp59igsOoarka6YVnz58gkBhm5YYMqvjFqngSw/e4Gcff0SIkVggGMEf/uRDHp09p2lasikgE8OwY5omVJZIY9BSkrVGyJYQ9mSROF0dkWLmdNFwtXdYu2AMO65vnjHvDG+98Ra//OwzQoxY05FTQYpECJ44TZycnDAEx7AbyVEhcgEqOlYLQXSFIApKRppFw263Z73d4pzn1tEJWzeRJk+rDULmCgvIBSEUo/MYVeklRghiTEwpcHnzHCV0PUSlkWHcYXz97rTKVguuNYzRo1RilyMmZOa2YZ4ltumIaaSZG/SUScPIetqBkgwu03QGGRJZCjb7mwo30BJJxQH7XItyqVQ6kUTUA19JWGWYdzNCDIToUFofJD6ZpmnZTz0lw6zAGCdirBADbfjLP49xhMeXT7jYX9SYRakHXgUV+5gierFAhYQWmkxBhHqh1EhCObC2Q6QxLTE6+v0EQqAqBgutwSqDypocPRcXa/7N7oqf5cLeBaJ3dUotar9GGw1C1Ex62JKVqFlmJMl7ULXkLpFEIiFXFKgSihgDOSb+9Ae/h/OenAZyAYE5OAMyIR+Y8smRsiQBQkOjLYmCT3tSFnjvK86xPeL01hu8ePEZMUgoqcZWVcSXXDHLsuJPk6KSzYypWwtFLe5mgUDQDzsgslyt6KeRuerweCigjIIQK/1KgFIJUWCKCSFSHTIw0TUd+IJQteBYLRP1kOV8IOhwwMAa0lA7IEJL5gvLZr3ltXnL//7vf42Y4b/40UuEEJxtzinCkFPNy8eDQ0YaTQq1b2Fsg8mKgKs2eCHrzzEWsvBcnV9RRKHvXbVSa4U2DaR4GKhUWl/TLBBhSc7n9bCmJL/59l2cm/jzx5dkIykhVBxp6LHtMe9+6btMbuL8+QcEAkpY0rhjEhJrZ9QmWqEEiValFj2NISYDCFKZDnjL2rt0ztNpgzaw3g1Yo0FIUqrQD7Qm+XAwsyZiUrW47xNf+9ID/u73v85PP3nKWDry7poYClkodvurGj0ukhKqyLFIiW7rVowUKcnx2q3b9MFztdujhSR6R9t0FQksCsXvOZ2t6Lpl3fazBX2g66FQg2c/BsiykolywKVEDjU1UjuMAqMKVhhK8igKV7uef/pnPyUmXeEhPhyQ44nW2BqvErUrGES1vzZK4kRG2kTf73DOYbSqg2xZuf6961FSI6U5CDj/+//6Kx/i375zj8+fP8LHCFJxs7kiysrP1RaG/ZaiFrjsaZolSkZiCvTjNa2R9C4hx4n17gn55SskPWeYHFc3V7Rty2azZiGgGEufIvqACAsElLa0zYxXH7xD7Lck9tiSmWLgev0pqkmECNtxROsW21qEijgXUcGhtUFqhQiRUDyLxRzjI1lkdtMebRp0V3+fKnqi65g6IAVCkoy+8PRqYt0LtAWlRozQJCkRKZEz2GbF5G7IpT74cq4PkwPkACEzWlAPhkSMqLfEGAXKSrJIdVo6ZJSIuGxYNh33XnmN8/PnpNiSYiBrhRFV+9z7kTDuEEDMmV988BPGODDrND6rir+kWl5jcrw8e4SgRnemnIiGQ2xBQnA0HSjdEMJESoZmNmc7Ob7+2lu8fnfG0czytS/f4b3Pn/MnP3qfECdWbYMoir3b8ez8GeGAyvrVdEuI2oRXwG53g8yFkiIxS3ROJApaFnQs5KwIJdQylZYY3ZHcgFIWKQtKNWgxw3RLTu+9gZqtWC2q1dMocFPkvV9+QEGT4lDXbUWSoq8ratuRheR6s6bpqmhDEbjZXACRIjRFGGJyiFAFVstuhbaWzeaSkgVLAwjJuKsH/SIKqMJ2u6U1hd5NCKvYR0+jQBwtCZNndHtUqocOpSWNmTHGCR92dWXqBEkVhlQlRnPbEKbIaj6jH25q6dc2JJlgDCRtsNZWQorPKArOJz55fInUGVl0vfQVUQufMuOw9PsdJY0IMtpIrq6uEKJedpXVjKk/oMEiSIFs1QF/NjD6PVZZpLEIqdFaMXlByoLkKiEplYMtLAuaRnIArYNQtTDpKpOcA6LQNOrQiRAo6gQsSc96/RxS4l//fOCVB7dRoq7hjTkcSkvtF0qpURJiCqSc0EqhlWKYRpCCq/66yudsiyyFFCCToSjE4TAjDyKpGCV/+MULfvjkio2f8BlQddpZomf0AWQt6rkw0feeMSZSDIhyRpg8QdSo3nq9ZXO9JuZEK2cctXOu9ntKnsjUqYwSohJ8pGI3XVMoaGPZ7XpOjo947bUHnP3yY85uHlKI9ftPw6OzS3JMSAHKdsShJ2ePEpadG1jGGfthqMW1HCnq0FNRilnT0LWWZ9dXlKR49uIpKXnk0DOzlm+/+S7/5sNfgKoHdCnrBFPLhlwyWkqk0kSViMGhrKIxBkkhI9msN5jWoGTVlqeYKh+6RGIodQIlDdIoioDR14ttP/a1t9RP/J2vvsl26PnJsx4fQ41JIEnUrLBEIIUmpIAWpa7cnUMIqqdEddy+dZdnF+e0JMQBkXm5WbMPPZlE1yygeMZxIOdSJ+gp8OhyDUiE1KQCaSpclRGZIlobxsnRti3OF7JPJCNxITLXHaeruyxnHZ8+fEijBXsfMUoe8KFQQubB3S+hZppHD3+OOnQToktYrckHn0Jj5wR6Ugm4wTH5TEbRGUXRkhBkjTKOrnbBhCCLgjWW7ALL+YzRe5IoHM1XzOWCZ5uzWl5OcLG5oMhqct3vrg8RVQVFEuNAa5rqgUmZUlTdaIcJ083xPuDHHqSkmXe4MVBktYcWZbjevGBKAaU0GoUWmpgCSE2jBCUmMhFpGwp1I8fhe29lQVlVLeaxQNH0gyemwD5GYi7opiNFR6ZuqoSWIDLKGKIoCKlpO0tyI1IkisgEFxGiDqy0lPzON7/Lhw8/59nNS5qiCT6C0ghdL5s+7YkxM04Tn19sOdEGZQyKSk+bfAA82jS1q5Q9IsHpyS3G3Z5uuaC4hCgGnxI+V/8NRtd3QoRCppl3DIOjyMJcG1wpZEpllvtAipGzZx+hhWLICSPgzz8/Y3IOXTRT8gilkaoeBv2w44tH7xFyJEYQJaD0AWccBTFuMdbiQqquhCyqgDEGpKqEONt2kPMhgmsRJeBSJHuJkZa20fVQLAtCZHKqTHSRI1nLQ5lW0GrDP/sX7/GDH3/Gk5cvmLJFAPPW0rQNF5stOddnixAghMAaU7HSSNAgGsHZ1Qukbhj6HUorGttya3UKZDZux+Akl7sNR1kxpEBKmVY3uGHAl4AosFycMA4jMQdkzeogtWQxb3FDpOTM6ekxC7Pki7NnKFkTFOMUEDLStDOW85ZpGnEuEZCkEpi0pOSEkoqSJUlJZExMJRBTqps3csXu5kOpuxSMtkjd/DVR4v//OMR//PwhUlTGKxJGP7GYz+oLdErYdk6KiqgzMSeImSIzM90SU89ut6ekEdVF9rZj3Z9z9/S0ruBkvcXsR0cuh+kEolo0qS/plAPT7obT0xl3Vktm0vNyP/DwfE+bV8TYY7qGWApWaLQ1DP0NsQh0cuhswDYoYZj6Ea8kUhSO5ksoVHRYKAgNU/DU70VBa1lLDEVRssP6hDEKr9QBB5OJpUZiYqwynJxqdISSyaTank6CEmtLvyn68IeuIXmSroY+Zy1RRiZXldn7AvLy/MAEVhhjKWlCi5rvErkgRSFJUIhaVsRSsmQ5X1aRhZSkMCG1xYiMiPVLP4lQ17cIRMlIK2majnG7JRfolh0lBsJ4A+UBzy8ueLlf89HTSz7+6FNErja7vXPcu/MGV1eP2Tx5QQp1ciuEpWu6A4JJMo19fUDn+qU9XbWsR48R0DUdfQgUUlVTh4JJkNLArDGVYhIFPnr6PPLFww/5b37v/81mv+fh4y9wYY9Whc2w587JHQqGzLauNKXBKolLPSU4hDymMSPb3VO2/RahDEoLdDE0UtYV3IEh3zRtfdFvHJSCEiDUnHk351TNWO82bHdbdGPR0laWb+GQFU2QFLbfV4siAjc4GjOjtYpUYu0fYOi05vZtCxSeXgucT8yXt9iUCzahJ2aPUjNevf8WZy8/px8DIkeGKUPMtKsjgtvSdpqLG8/oe1KqRl0CSJlI0lSzoPV475ktjpl1DedX55Wag6ga6wRaCUyReB9Qbc3Id42tER1RkX0xBpCylgOF4mi5pB/2tI2mpIRUghQD6vCCaTFkU3nHSEUjFTEVYvTcPrlLO7/NsycfolUtU1urgUrEefH0Zc1vy0Jyma7tCDkRxh6lNbbp8PstJUN3tGTYrOmMZUihGnojTOMOK2v5tVOGpDQhR6zVdHrOjhvICV8aRhdJUlEISFEPWtJoRNas5obRB0oBa6vYJuXCNO0wjSR6dSgQ6xp7oDoU9lPmzu3bvDh/iWk0HD4nKWVSroddbQy2PSHLHRfXF2x3G3pXy6wUVS8hiZojlYoSHP3+qtoylapEnxD59NFTXIxIMtqoWm6k9ga9yMRpqv0FrSAFWt2RhSCJxJMXz+hkQ2jqYcoNPVmAsrU/IGSgSEN3dJvNxQW20YccsePO7bscLd/i6cvHZFmn1SIXEgWrLRzEUFVqlVjMKnMvlUPeuGRiSvzi4ROmmAFF27aIHIghknJECVM3KyUiSqYgyRIENX+sZKGbtbx6+wHn1+fMOsPOeZ5cvaRRNdOaYiTlCSFlveQaRXIOFChZC/mJghRw6/YrGNVwefWE7D1SaSgSVSxIhyyJxeKEYdzy5Nkj2rYjHNjlyhomXw2uMmXa1nJ9cwY7wWpxxH6/hVJ532GYarFbJdI0ViBDK5jGiFUN6rB6F0WQskRZ6OYNJYIgcXJ6h5vrG4xpEK1FicK43bFjzyb1CHLNypNRQE6VYW2toh89s9mCEAakqn4UUepwJ+dCCYWEROeKASwoQqzkH6UEISRykiy7ls1ujZailnllwft9HaTkgKBGikIu2JyRWqCy5mR2xJQDgxvwxdfPOpJUMiH2JBKNnFOEx0/DQdjYYkWFAoRcDtnkxEiLLrYim71HE2ltjd1kJ4gicz32BPErAl1BGc3RySnWznn57AnFJ4qQvPSe/+OffcqqabicAnePl9y5c8znL18yDJGcU0WTSsm8XXL/zl2uReBifYVM9UKubYGY6VTLGH21impBcKFu76VAlsKD07t88eJ57crERNtIJl+RyUmBlIWUErsgkdQLsDEtsUS0UXV0TmG7v0QaTWeX9H1AesdX33mNsxc37MY9SoBSgpJrd6SkgszQNJKsqkk2lYxRkvlixvr6Gpdz9XsIxa53lJxBwWre0o8jIkmULlhl0IeL6W7q2U8DLzdXyCJ55c13uXV8yvNn7zNTgp3pCCXVmGmuB+/gI0VnDHXTQ6jPu3HaI4Vkoeo76MXVS1Kpn/sQE21XSASOj4546vbgJpSovR5jNW2r8SNkJK1umbyjazRxcEih0VJxvRm5ItBoXWONh8u/NpbRObwLzE2DbSx9jDS6Rg7npq3f82lCNYaZnHEzbIEKZsjKIFVB5WqhpiSci+RxrD/Hv4Zf8q/6D86MIZORVlfeaNPxzV/7NTplyHi08Pi4Q4SAiA7IaHG4I4h64M0iEMbMs5fPuNme8+TlF+ynK8KUSCWxXClOFw23j06xxqJ1VUK/cvtNTuZz7p1Ivv21Bf/od7/OP/xb3+X733yLr731gNvLGTOtUFqR/EiMI9vdFqSoemQgqULJrq5IQ4QYkCaD9JVnGgWkRIiBHAcKEyFmvBeUmBHlV9GMiHOZyUeCm/AxU4LHTX1F9ZHqZKQcVOHEQx5LEIVHKMeIx+rKFo0hMWuWGGNx2eOTQKsG04BSgXF9TgxTxa2FQIgJY+zBRijRraHpLLeObmPVvGags8OI2txezI9A1BXrvdkdFrNlpdfEiFaG1jYIIdGdpR93NZYhqz67AEMY+NO/+DGfX5zz2dNn/Pj9D7katofpemFmZuz3N2RZLzRGSxrdUvKEEom5bbB6zvz4LiiNlBKt5xANKlbV8TTtqjJcFLqmwVpd16wyEVysWUOAkOkvrvn444/4737vv+EHf/rHfPL5IzaDwyXI0bPu1yiVMd2cO/fu0baWHANGtYgiyUykLBmmoW5kZEehKuF7P5F0ptEGoWDfj1zttri4Q0hNI+C1Ow/4n/+P/lP+s//V/4ZvfeObaKso2SOyRwHLpmEmBUa3tGZOnDJds8LoBqFboghIDPeO7lTBWM7cWsz4X/697/Cf/6Pv8jd+/escG8vN+RNK8MgS6doZiMwXn/0SNzhm7axOwg8TRCsSBclyccwrr71OOjT3c4kIGas6u0gaKwmjRyiDkBajZ1XEEX+Fp6ufyZwKnozqNFBq8RtNYxUxB0KckDYzuZ4cCylFSi61ECoz/pAvlkXVy9FcV16wUJWAA0QPSlpk1lz3e4btlpltEGRETiQvEFKSi8CYZTVuUogp4KYRP4xoqRECpFIcL+9hjGIa94RcXQgpppqrlQIpBEUW2s4wX57w2v3XmVtDyYntdk3KicZaWl1pHsUnCpr7p8e0WqO0Yb465Te/8y26eYNWNSqnJTS2o5nNOF4e8eVX3uJksURkhR9AJEPXLEkps13fsFocEzyEHAgIvKy7ayU1MYPbX5FioFA5/kKKOvH1hzKqVigN5MjMVu56veBISvKEONIt5sy6FmVblNIorbCtorEGNwn6PnB7MafgmDcN3/31b9B0DdFFPr+84PRWx+989yvMdcE0qpKeSjgYuSUlCISPqMaSg8dPE6IYXn/1K/z9v/c/wUoNyWELtKqlIFBKslyukMIgSsYIhduPSJ/R2qKMws4td27f5TLDrgiKCHz53h1+62tvs5xbtGoI3gORWBJTjGShsVLUeBJtnVr2Iz/88D1unxzxP/2732PV1e1aJiNzoVO2TsEpNbo5erKqqDiZClJJ7AGHGXG41GOVpFhFu1wQJ4+UgkZplJBstjd/GT/MJdO0LYvlKd/60l2UytU7oMHniMsjx/MlSmhCLGjbYtsZUmu0scSocAiEkQx7R8IShWSKjphrOdbIQkODTIISHaIo+n6qm0TgZrNnmga0rlsAbQooWYdhQlQ8a4pAIIVA1zYs5gtWy2WN9ohcKSY5cnR8jLIC3VTCSYmhbqfMjMVyxnJeVfJCaa53VwRXxYFNo5g1GoPmzp17tF1XYQmtwXRzpFAUNCe3bvPGm2/w1htvs2zmtchNPew0h7OGQJG0IstaZERqZIHJZUKEFB0lJDSCVx+8zn/6v/jfcuv2HWamYbU84ru//hvcPn1QLydS8dMPP+DlxQVCCCgZ7xwX5xe8ePYEaxRFGmzTYZqO88Hx2c2GXXA03Zx9jHgsys5QzZyQCjEkmnZJTpZdHxAZjKwIwcEX7GJZ7fGHAn/MHmPnteOlLTnBF5dnoA2pJDh4UhrTMDcLhC+0janW6JkFUw/crgSMUsy7GT54QvZYCZ2QyMMly0jNi4selyJWGpStuMauW2EOXTOtLVK2WLtA6TosQBTOL1/WYUCJCEqN/zUzitLM7IzRF9pmxe3TOxjdcHJ0wve+/VsU3ZEKNU4rDQvbkqdAzIazsyu+eHHBMOxILmAM5OTxwZHKxEwt+O5Xv49RDae33gFh6iBICvSsrYf7Sv2sMRhZkKllv9uzub6oBepcyDJVbnsR9Dc3oG2NiWVN080x9ogk6uZAWokL9fmQKPiSSAIkChEkOUDbav7+N7/DP/6N36iCU1UJfJMbidFTyDBl3OSpw1+wnaGg8T5XYqHIUGpJGy3rVOWv4ddfeRKfUkZEUTNcJAIjP/rJnxOA106O+P67d/jh+4+53gcmmdBaoFLm7fuW51c917trlILOzpgtWsbdjskZKIJh2PHqnQW/89VbvHP3iH/9wTUfnN2wWe+QWmGlRbUdd1bwzTfu8Hf+5teZNTNe+3nL+nLLs8e58tynsf7/KUdIGdAokYmpYBtLmxKqFExjMQWk6DClJfg92Vhisrj66aP1dV3kskN7ScmqTkp0qsbIrJAKFkSWBi5iZcqHUCcepYhqkswZFyeIHi1BY+rDHE8uhaTqLS7liCgayIjsWcxaNts9c2MJPjFlTwYa2/4l39poS8wOBWz2N3jvSUKjjeF6fY0Rhp3fkBH4GBjjgM8VhYdpaa1GCc2txZKL7RWxCJRVlRYjBCEPuJBZ6BakZsgBMQ5kIZBWImVDo02lxzBjSAWlC87Xm/CUIqoYVscnuDQinIIcmUIPjWZxtGS72SPJGKlIpSCSQuZMirXJLYTGF1itTpn6DbthYj2NdPOh9iV8oWk0JnaopkXohvX6msk7UgiIXE1zU3Bkobg7O6Zb3ebF+Uck7wiu0M5bhJxwvl4kZMr4HOlslcvgAl4IirTMugWz2ZKr7ZrtuKHVkskVtNKIHOgWc9595U1+/skjtsMerQSr+YL+akCIqvKefOJqM7BcnTJNOy5c4L/7xUuGYcs0NSQU86MVt5YrOiF5sblhHwdSdpA0ppnjnaDRhtXJHa5ePAErOLs4Y7vfQkm07QLne45XJ8yE5MXmqooqTCAR6feXJLcDqmY9JYGxM6QMuHhQ20vJcnGPHFwV1uTC0iwZ/Mi0d7R2RjHg/Mi23+BC4mh1SmomTroZGsfl6JBjJWikPKJsCw4QESV0LYIZ2LsrSqnaevGrImWOaCOJKR5U7gVtKnXBaI0xFmJhe3PFnVt3aGcdU7+vZUwlsaXmEYkCJQXffPuEr9+9xb/57BpfEkJW26zWipI1927dJUwTU0osFjOuNzf4XGVMxkj8sOHxs6fcv3+PDz79nJIq0UlrxW43cdRk/uO//11eXu/4p3/6S0rWHJ+8wn64hEORGOEhRHSpHYqsDGhFjIVOzwhxR0hUlKeoIpkcCk3XUoi89urrxOAZe1knOQebNFIxpohAEnJmvjph2O9pZob9eoOi5c7RnNuv3uHhxTnRjUghGafIz375ATFnhJB0Tcs33rrN1770gPc/+JS88yxnDSlV1K+fahSqH2+QUR+EJYUiMl88+QvWu3OmMFbyUc4MIdG2BlEK6/UagKJMPYhR6Q5HiyMokSkEpmlDCo5WN0ir+faX7/D1r7xBCY73Hp1TiiXngDKGXBRHx7fYbS7rxlVljJ7xzlu/zfPLR+x2L/iDH3zMtneVXBMTReuKrYwJGWMlaUlRZX0ZlFW8fvuY1x7c4yefPmWzuYJSuDVfMRKZ+pFCpCQYg6vRMlHDRDWelQhuwloJomGuZ9Wm3c4IsZorJ7fn/PIcpVUdzOSEMQ0KBUwIdCWpyIOQT1WL9tF8jlaJzb4nlEDKilfv3eat23f48QefYmR9o+simXdHTC5UGZcvhByQUle5jqiY5CQLMqt6ASqRxlh2uQIE1GzO0fKEWydzXp55imzouhlXmycY1SFUpeFYvUTrHlkEJQeyEYiimB8dIwuEeM3V9QXKKASW6AXEifmswy5WvPvO27x6/x43FzueP3kGWeB9RQXmHLFtQ0eLUS37VFBWEEh4Hyi5xm7rM6M+R3b7Ne9//D4uFm6dznnrrVe53A64EJG6kEQCWRHFbTtDZIELEycnr7HZXBL9gFSAjMytZpsDC9mgpeKLi4uKHw2aRGSxXJFnlhgCV+szNv0GYqQzLVMaESZTokdFiyKSZKGk+o4ziyWSTc1+A8E7Fp0m61m18xZHLIkhebxIyAMWe9pNlJI5Wq4o48DMdhhh6GxLJpNjYZwCVmdkCUhl2O63yFZju5ZCRs00IhZEI2l0Q5IGERPTOJCpHZLl8pjtbs3kIlq3pDCC26O0QQlJigKfwl9GbyKZZtnSLOcYVUvXOQEUulu3uLx8xNX1c4SstlofK01LpQapNNYIeifwIfDpo4/QSjINF4fNDMyNZt/vamwrVOlYFhmhFaYxlCSYzVfkcYsIEyjBrF0gVcfm5hyRM51WlLKnJEU7U3iv0FbRNA2t1oyTr5cPAVoatDUU77g1mzGfr/jhF58jSyKOE1HmKtFEVJqhyoQ8kKQhTKEiU63gaHXE1PfkPFHIVdTVNLVA6/568DR/5UN8SJGDw4g37tzl1Qev8LPPviCFgaQ0IsDpcsnFcI1MiXxQX3/jwQn7cc9F39OIlq995U1+49u/xj/5gz/n5nqNzIGmszRdw+ATL9Yjez8wRV8nIbHw9OUTbt+asSsd22gYQkSaRBGBW0Zx63jOZb8m+MK8aRkGT6MtIkWSisyWc97+0vc4P/uY4EfStKdoTRo92Y+0JlO8QMiGDskJHh8ERQmCp04VqZO8QkBnha7sSESr+OqdhqMh8sFZz5CrhMGnQA4FnKqiEimw3QptAt7vGHyCknGAUpYYA8aqerNPgn6zQQpLyIqoYmUGI5hpTYwRITNJBlRWtRCYElYaPIVGgSuFkCNSCmTRLDvL/VsnfHb2nDE4mqbB+0CnNY3tSKWgKBQviEpwazljP3i09kwiI9IIoqKgRGU+knJmF/cc31py6+gu6eIZ5EzODqk1MmcyI1c3L8lu4vjkmEkqYCCkTNpvkMqw6m4z+Z6Mx9gOrTWmXbDZnFfaTyic2MKVL+zcWA/2fY/DE1zmdHXC3B6x278k7iZCmahSlyoAygm0smQKm/GGm+GKrtEVidpInA+05jBtihGhEqcry9deucdfPNsRjGCllwz9lo8ef8qT/9v/hSIBWVgd3eH10yWPHn3MNCTeOFny/W98iRfnl7z0ETGb8/jsEVIbkvAUNJ3RxLTFZRBF0w8Dv/zoGVOZ8DHRFoFQgqvdDTNRJV1do0hqRvKebb9FZ4mczQlFoRd14jWOjt3QU0rE6oTVipPVLYqAWYr4yaGMYOoLoiTochUZDXtEUSzmSxrbsBk37PdbYizEWDOVLkaMVvy93/kqHzx8wrOXkTde+ypfPP4lqoPV0THr9cDkIlIoHhyvOG1hfHxW17GlTujdNGBMPbTCSMoCGQtNZ8nSILPGxYjSERUNPmUQ1YqXi6/TM6koFLyfSAmE1lxvrgklImL5yz/zkOJhLR9RUvPsfCC6wtl6w+ivkSLX1XSuZatnL17QWUPIATdukaJwfnPNslnx5r37fPzp5/Rj5je+8zU+++IpLjtyFkS3r4g93XGznepk/bCH2+53pOyYxglrFVLCanFKCAOpjBytFriQ2Q9bYnL1padr78CFiZzq9DD5iFAV5za6ASkkq+UJ55sLSox1p6oVbdHM7ZIcI26aiGmq8ZCQef3WEb92/y6X6yuuRkGnW5yf0LqSG7JUNLMZHz7f8PHTa1KARdciEAhZaOeKrFv2m4kUA0YkjNbYw5vo8uacvu856hZcbzckBYiK7FvYJW++/hohTlyvLxhLZfDbTnOzucHHQFLVRZJLJpCQHv7tL5+y30383a/fRmbP+8837L2s008luVm/rEbgFJh8QMqWr33zHzL84r/lk48/ZuN6CLEW7JXGLuaUg09DSo1N9QKuiqBYhRAVX3fvwQm3zhwdgvV+w3qqEqpEZnU0Y+rrn7NWAm0bpjCgrandzKIYeg/FcLy6TVAVn5ul5OLF51z7NdoIpCyQA61WuBDIKfDul17llfunvP/RQy7P10jbMviJrp3zve/8Not5ww9/+iOuLl5Wbvo0sVzNMEZUz0UUNKrB6lMSjpL29bAkCqUEYjK1qyUEVs0oxRFz5GZ7jZUKmUGJWgo8PXnAi/PHLFe3GaaBID3aLlgsj9lvr8ixIJeGeJPw0WNtjXwqaZk2PalkmnaG8BM5V7ymiZGkMmLecufOXV679wrHizkvX94QpWRuNOmgvxIlVwyhj/hpQxEJ7yoBzhiNz7H2W1JBCcmd228Qk+Lj9/4Y5yZGWTCloQ+J7birsRQBR8qireFqV0k4AKVMdF3BH0rIxMw+OkQWNMsFiIjrI1Z2fPtb3+XjL37BzdW6EsKspbEdXduQhebmsm72RBLMFpXSRgajLWkcSSmRxh3OjZUsJltKzvjoED5RrMQoi9K6RoKkYHIRq1pK8VgpSNNAKYkxOabRE4JHqwMOV2t88AdBYyEXQ5oCwhjmR0teuX3MqjNQElcv15z1/cE+D0lYShZ4FzldnXC1WxO9p2hdY1AG7s5mbMZME1pEcZWeFxUvn77g6ZPnyJAIOaKlQkjBzeaSmAdSqn8vct0K2VI389mU+t20hW5+C91YthcbvF9Xi7vRlFTRz4WIkYpZe4RdWNbba/phV4c+om6ds9QkH/HSMfo9Skm0tvi4p7UdTWfZDxMpgsDz2itf5fzFU/oy4pyvosnoWc07ooCiFFZJHt5cIHM1iudc0dolpUOvSlXCUC7MVh3RVaQuyZNCHYBJpWhSomkze+f/WhjxAKJUJuL/z1+z+QwQGNExayWnt+5ztd4y7C9Bwsy0WC1Z9z05Z1btMZthQ9taYolkqeh0x2I1587JMY+eviSkGkURRpLzhFI1Y5eDxnQnTOM1WnUsrKEoxf1XTvneV+/yna/cQ6mOj58+44MPXnJ2vePlzZY49khjmPqBQiElyazrCCmhmhk5OJSULNWMxihkq9BFUxTMdEPbNtydWf7Bawv++DowtharW1qpMG3NnFqj0NJwPF8SiaQc+PItzVdfXfD45ZafPO7Z9pHdNDD0nr0bmVxP8AIfJJ7MuOux3Yxx3zOVnpIk9+/eIg57Pn/6mJw0bhjQXYPRipgz4zgii6hfNqUQwlcJjFBIY5GpEEvBi0D6VdkmCowWaC1pRMOvf+trnD2/5Mn5U3JJNKJhCB5BvZGWkhBRsFwa/qO/+T3+2b/+BWPMJCKTG6vNSxrQlUHSqFkVItlCCgGbM0q0RJmQKLybiGSUsqTg0VZQ0sFaSUYTkNlwfOc2u2GL3/dIU/sNIhVm8yOsndFvr3j37TfISvDLTz9BKk1jDAjFMA401hJTqQiokkFXTNCDO/c5OXmLh5/8FGk1GM2235BLQRaBlZooFHdW99kO5+yH+tmdNTUnN28N68FhbIspCl0qiagojRA1jzubHdeOwfYCYTqwlluzGevtllIK7dFttpdPGaOnMZpONQgJ29EhgsdqjZQNMUba1YoH9x5w9uJzcqwTtJQd3cwyDRFpW1AwxYB2hdQohHMobYCCVQK0YhgmRBEYI/BZotH1AFwExepq5PNVxuJCghIrp1xbum7G4Ae8mzhdHWOtwsWC8BLPyP3TBS8v1syb29y7+xbj8AU7N9CPiX7qScHTtitEymRZD7mkiC91GxZ8oNOG0U8IbTFS1w5NyQit0bJBWYsMDqUE4zBVB8yBbjHvjnj37a/xwaP3GYcRIyRde8x2XKNVNaCqKFBGMfip/mySRxYJumayS649lkbLOk0qoFWDKgXddbgUmcYBTd1MGVlz7i4ltNK08xmqBG7NGp6vt/RDxdVOKWG1RFNwMQOJiCaF2g2YdS2/9q3/AQ8//4ir8zMgkIViZhqmMGFN/Rwg4Gh5ijFzzs4fgih0zQJRDoZEIcg5IEWHkJ6YIgpT0Xkpc/f0TXbT/5e3/4i1LcvvNLFv2W3OOde9e5+NFxGZGRnpSWayig4sqgpUi0SVUEKj0YIkQIAGGkjQTFMJ0FQTSUMJElqCgB5IgwLalMCiqaZpFski0zEzmRn+eXPfdcfuvZfXYJ3MnnUnUES9cdh799lnrf//9/u+FeOwozWCo8VdjEhc7VbMmo7L8RoVdTV7CohakEOksS0lF3ysnaCcoFGK09MTtGpZuRXT6BgHt18PJ0SqAvcsLV03hyxpjGI3DMQ00EqJLxmy4KRvsf0hb5ZXVKBgoZX10kTKIHtidBhb8L6WZ2bWcNRZfu29Mz67GvjkZkejLG3KvN7soBSs1nhqzDCkghIzUhzwYYs1ipxyFWMdHGJ1w615x/V2ZHmz4qA9JuZEFo5x//3QGtBdy+niHiFPPH72GRQN+0Jsporx3FSLckq1xDBQlKa1mt04cOfWbW7WG0qMLBY90SfUwpLGifXNQJFpv23ZM+uzZNbN+Ge//S3+ya99nf/0X/xrvv23HxOlQlJYzA/4x7/xm/zjX/tVfvjhJ/znf/BfsFwt0XvVvZ8863GiMYYQHfPZnAef/yVeffYBJTp8qYKflDNCyUpW8YmUPa3p6FrL6emc27cO+dufPCXmjDUWlwt9t2C32yBkIoZI1zWUHEnDhCdTUv3nzedzEplpGOhMz7w/ZcpbotsSc40qyCzIItB1M9598D7vfeFzWAk/+fQzPn78KWRPDAEf98IxpRl3I6HUC6OQAkmmaSwuC4QQuO0W2Rj6tidNkIoHGYkhc3h4QEGz265A1kTBrO0peDaDRyOQWuN94O69I7ybWA8BozVaS9IUIFU/hVUKYzreffcbfPzkR4ybNX07w0WPNZLZQYe2iovXV8Qk0LblrTsPeXX+mBgTomYXOZkfcLkeq2NCFTQKVyKdNqRciCXXCKS0FBINCZcSKIkoNQ8vZBVLlli4c/qAi+trgtvULo4S+JgwQtUNiFDkIjiYz7h//4Rf//rXeP+9t3hxccm/+e5P+MnjpwxbRwkeJSrvH1GYdT3TMCFllWBprfnVr93hf/Tr3+D/9l98h+fXIwWFCytEqQQ3oTQIRysVWQi00kQEJQSy0PjgagKAzBSgxIBqFKpIcqlgjWkaqihL1At9pzUlWaSRTHGkL5IxRbrFjJIqHY/sMbKapD0RpTTeF6SQVU46O2a3XWKFwfsNRRjGOKFl4aC/hSqFm+EGWQRoiRIQfd4PUwYQmaPjQ8bNiFIa5wO1XLL/PQCK2g/zBbSplyTTdLhph1Ca2awl7SZ2LqCEZJjGSvj5b/nz8xzPf+5J/FzP2LqBJAMuGR6/fEJKHgMo2bOYn9LIyHZyJJXr7ccaBucwVkOEWAJvzs+5vt6QwohWTS06TR6lqsYYVRF0B02DTwLhPcEXphLYrSQff5y4fL3CYRmcY7UOjLuJ5DzJGza7LVY1hODoG83p6W3OLy8J08BsNmfY7tgaz+279/jFr/8y3/7+d3BxZEoRGQUXO8Ufvp6IyqBTIomIR0JISFkJEFnCatzStg2TE3z0KjD4JV970HF/l9iMm1pWShmFRCVNFgmZJ0qq+dKa7cx8891f4iePPuLp8yd00jK3DesxMesXnJz13Gw9IkNWhrLbMD+cMVc9V+vrytRWkrnsuHM85/H5C0DUjKhsEaZmC6dcZVOPHl8x+amu3EPh9r275Ks3de0lFP1szoPTM16dv+DPfvgRQ8yMbsTIqsk2piVEVw81aESaUI0kZEVJiWwU0U0IbdDtgluLGcv1FZArJ7yzhI3D9jMakZl2SwqJm+USSS0P5jzSdC0xJFKCohJFwWcvXvPg9hmzvmUYHYKWRs/YlYGYfjq5EZj9ATFLyWYXOTwEYTS7aSJHSd+3DNtMyA6tJD5M3GwviWms8Q6dib5g55XGIQoIqRliqvlTCoiMVgo/OQ73uW1BRSTuhkumFUjRMOsPaFVmaiwSQ/CO7tYB15vLip4SbUWNuU2NamXH62ePGN2OtjckGZBGMriC0FVkgS9IWbmz2UWUUOQiySXVPPrkIQus3TPphdxj9SSNbRldRXkGvZeZpUhrOxKQvGcTJ9q2BaVrabcqiAnA7eMF1+vMWMBNl9w8fgNF4txIKoqukxzfusXVakUOCdVYSkkYJTBZ4seJlAtJVJpFCn5PkJB0jeadB2e8eOXYbbd8+eF7PLl8TpGFlDMlQ6F6FF5erupBco/lHPOuRmhyLeK17SH3773Fs5cfkjIIfVAJDWFkPquT2CF4fEho25NClftUIkllSOsMlEgJgn7REoMn+onSKHp5yEk35ysPDsFoPntxwc7VLychMq5AkpmZOaxROqoJ+NbREa3MjNMGoSSz2SnBO+K4I5dM1onj447V2rMdlix6gTEapTRHJ3fZXL0ip6leQrUm45AJVNEgMq2CXSgsh3NcdFgrSUiW45qSHDGN7KZt/b2rgjQ9905PeXXxCikEfpy4fXJK9IXL3TWdsZwdHXHn5C7NrMHcWF66l/RNi6qsPyZXrb+UzG67RhoYhwjKIKWu5AoKKRVEd8R6s6MIQWdbBudIQmJkCwS8dzSyksYEBmUtW7fFxYl/9f0d2JZd8DiZWGaPy6m+G2VBNrZOu8i44RxIGGWRWISOeBfxU6VwtMczik8ILWisgCQZp0AKiSwyJQuK3zD6UqftWGzT4pNnih5lKkNaZEEsDp8SImVa0VVkLp71ZkWME0fznt/++rv85MVrfvL4otqqjSRR+dF1f19pSVlNfPT4GW/dPiL7WOktUlarZvZcrq7pmpYvfuE97ty+z7RdE0JkHapdWFLFeEZYht2OJx98h1gKOmVE0yCkRYmAtgI/BXpb44fD6IgCDg563rl7m7/94BEpRMbJI6xgE3yVGcVCO+sRKRCAJAVWmfouU4KDwwWvX7+pOOfsOTtc0CeDEAsury/YjiMhg1CKHAVTHHh+8YJhO3B9eUX2nhhjLVKLTA4BlOX0+BY3N5fkkjhsZ/gUGYJHJsX88Bj2IAiDIWRHTJ7GVpHcer1FCkOhVLt2Y8k+IlWlTLEvN2fg4mL132z6YmFMGVEkugisbPFxS4hbPvj4O8QYKQLsrGW43rJLkZgczkeMUlhRPTmnx8cM2yvOLy9RUtEby299/cv8/nd/zNrVjWggoU1Xs+g6o3VD8K6KmIxlyhmhLJKMsgpRSh18hIpSvVpdQQlERN126EJjqnwx5Yw0EiNAl8xhN+crX32Xf/a7/5gPnzzlxfkbPn38gikkUixEGaliycJ22tLaBpklSE/wiSevVvzlTx5xsxlqxDEX+r4H1TBtNyzmJ/WdvDonoX+GV22UoVMdOUwIXX+eLnmKFFjT4r2v9LIYaY2p2/Y40UjqBjMnhjJxOD/kqDni6eVT1qsNpeyNtCUxP7rFZrNDUGibjpg25JSRuuVm+RprKvo1pILQnr63lASbXe206KZDpFQJcKUQSXRS0CiJT4LtzgGJxkhSqlJPYSSlVOt1jKXCRURCp2olH9NAznA4O+Ttt97h4vVr0vKacRoqj/zv4c/PfYiXRiFCrmtAJCKVPUIKpFDcPj3k4LjjxeqCOEVuwhJpLNY2e6RbXSd0asa8nfFmucNPI01r6xd7jrT9nBgmcnZMmxtSLNy7e59ht0LEwvVqi4yJ3WrEpcKQJD5WKkwIESUDRjVEAUEIYvRsrjbM2gWDWyKip29aQgQfCj/4u+8zekfINUMbyTg8OoEukUVoaKkUiZhLFWbMFjjn2eWBwVep0FTg05eZrUscHMxpmwFuAoiEF5mmm6FixaMN2wllalzAT/DZ08dcry6w2nO1HZgvWqQPHLQHbLY7GiEZwsQ0DSw6Q4yR1bQGAwd2QRaKaVzxeFijFDRZ4pKrN9EckVJDTERTSFqjhSWPNYJwtbzCylyn8cnQz854+N7nePLmBc9eXSNp6FtLGAfaxlRcXttU4Y7VlJJQWVJCRIkqLekPFjx8621ev3xDjtXuWuM/kBy08zkz23K9vsZ2C3bTQGMNIk3EkMhoVCkcH99iubzBuYnGaFyZePTyKWKPpHTjrvLuNUhVV64uF4qqxJ7oPevVNc39zMnhGdPlI0RQZGPp53PCtMZIQ4ieHB1BQCclxnQM04SPhc9/7ks8/uzDvU11B1ERJZjsK9kjJ26uXqO7BffufJ3Lyw9QIYHUBD8RvKbNB/zql77Bq4s3fPj0EVc3l5XNK2WNY5REEYaCZLldY3SLlF2NZSHRWaOQ+DjQtC0xFqw1SC3wwSGEJuY9aSEESkyIourKNdcc9nHX43LBNvUQv5sCndKMYUSYFiM1kx9Ixdfy77BD6gata0xA5sJ8doDbZrZpQ0kTRSq8L2ilmC9mDFNEKs1yUyMyWmuCm5BCEZTCSEHfzJhiwP/UX5AL2QA54HzmyctLUi4Iqzlf74hhvyY2DVkKZBZEPK+uHiGLxhgwCHyIdNZUYlMp7KYVH356hTWV+9xoy263qtSEzYacQddABaVkbh/cZjXe0LRzTo/vcnX9iiBgOzhiFowhkFxCYfFj4Cq9Yikkz1/J/aFDolShFE/xBZcz0hpicRh8LUkJyYP7D/m1b36Ly+vXPP30kzrAKEPlhUg4Whzx+Xfu8+QnjzmZSy6nLYYCCi4vX5Kio+06xnFEUNGpVlccYCRCsUglCcEhiiCUjCqCpkxIpbCixRPJujLfD8wxd07u8+r8FaIUmr5jvV5XZjPU309KZKpBuQRfQ0Ixc3Yw5/TsNo+ev2TpR4SoG4/O9AQ8Xd9XssRQRWX6EEJwlAJnR3c5nrVcbTdsxqF6KURBtRqZC8f9nPUwEMK2lmnpSdkTxpHZvCOMgaIFPdWQyB6/GUN9R+tGk5JG6DlCBKIvNQMePVtf+PjRcwKZLDVvNlcoAdooRMyUJEgJZk1D8oFUoF3MEUKTh7D/7NZCWkQissYq0Fpz7/Q2l7sr5tYyuB0iFwaf+bOPHrO+GciA1hJRSiVwCECL+vsik7zmo8+e8tmnLygSggAZEkoZpp3jw08/5F/8q9/n7tkDJJbcdMSwpVGara89gq5VuAl8jOguMe08QShUcMxsFdMMrqCFIidf1fYio1Pk0aevefbiki9+7l1yETx98oIQEjF5sgvEVEi5kHNECklBMzlPViCSYL3dVmKLlogcefrkx8z7jtu375JRlJzpbEtJ1bR8eX7Ncr0mBc92N9ZulK6fS2EkIVb86HbaEYxg3vXsMnhfzayEwPXNBX0/49692xy0DY+fnlPGSAie1rZgFMN2h1EaqxRjCHv0s8D0DdFnyHvLpi4IAT7VaKmIEEtGNoaQBpQyqOyZ0kQpFSYw7FY0RlJEU0uSUmPa+j4PPvHDH34HZatPQAkoUvEHP/wRm3Egy8zMtIzTRKMCRRlcBjkM9fvVaGTJlJIRpU7mk/MkmeialpA9MRei36ELNEpyvFhwZ77gxeUlu1j/P6xV1UydIpth4OXVDR89fsGz1+d4N9FLQ2gN4+gxTcM0BWKopuaKqyxoW8hC8OLS8fovH5GTQqiGO2f3a0NyuaKkTMkTBwe3Gdc3KJnJskCEVrekLAkIpEvok1uU6YLZ0SGNMnWQa1ukkhw0DRfLJdZYHh52fPPuMSe95o+fvOLxascYtnVLN+uYBo+0PWezjiwsKa/JKRFVfY4kkjJ5TKkktFIUQlUqTHSVMISQaKk5PLrF9fUFOecaBTOKnCOiSCDVeDSa0YNpGxpjWPQHbHeOJmfmZz0oeLNa48axOhqEIBTNtN3x7NkL1tdXGAudUYQ9B+Xf2yF+Gge0bPDjxESoyDCZUFoRGfn00WdMH3tAI81eeFQE4qdf1jmjVOZbX/0mKXiGj7dMo2NKHtNoRFIcHt1mtblmt1mxdROCwm6zInrHF48PebresN6ObIsnS4FLhWwiefLEkvfc6IwRVFxY2+LyjrBdIXSLT4UcB4S2XN5cVXlIm+nbBT5KhAdtA8MkaI1C9ZlcdvhssNnivOfNclnJMiLv288FQcHlxObFSHNZM4iZTAqQpgnbtviYa2YzKVQ2OJcoeuJm2qCpFtq5VQzbiZQzy7CjbxQiFqSGA9PhgsOYSELg3ESvJV1/gE6GjY8IoXAl4RA0LRivEcUS2eJ94PXrj7F9x7zv8SFy0B4So2PIW1KYeHP+jD+9eYPMkRwjTdPVAx6VN35rccjbbz/kxetz3lye/+whlbrZCw2oL93lktEtWYVAZw3T5DCm4ezsPsvVG9TcwlayHkakyPjdgO7q5KRT1ca5Gte4EmhpQBVUiAhtcS5TNAhViMnXhzPVDyz4aiMRmdkeN/rkzWdEFylZEEsijFukchitmaYRciLs17K3b93mraNj/ubRj5ncwKOnnxFyxseALA2NKkSZKFqhtEBlw71bp1ztBl5fvWAzjDVXigYZ2EWHaC3vnN4nhcBHrx8zDhNGKIqVNLYhx4BsDaMf96Qgw+2jU15eP6cRiqODI65XN5SiyD4TykTxmk5bQsyoVu1Np3vWuqzP4kmr+cpb7/Hj169Yrwd0Z7lZrdFSoVQhJIdVFtNYhMzMMOyGKoNx04QuFT82a+YM04iLA5OPtAcW4Xo2uwFlNAhwrvLZy1T7/Udtwy5MtP2cPAWyEORS8+m51G6NkYpIxVWGUuUhu3HCGkVygbV/QSyJmDPEWO2POWF1R2c7UoikNKC7jjBGvE+gwZa47+PoOv0tkSnvCEDbzsBHfPaotqeftayu10zZ1yED8OLVZ0zTiDLQNbrK3MYRI+r01Ta2WgRdYJRVty2pzPqcJcIYZMjk4OibwG999T5/8ekbtqHw6acfMG52XFxe17VvSBAFiIKRmrPjh3z0+BW32sz/+re+xH/9yRv+/OnIzTCSU81Qamk4OuxYri/QxqBEjUcZZYg5ovYoOqksBYluwDsPqerhrdLkUNAmk9KGJ08eEUJEUxicR2ZIJSNllVGtxx3h5WdELMlv8THjguPRTeDCe/ABET3C6ErbifUyJ6RGeF8RnanAlFnrLSlGwspzfZPQtl5AXazFvcZIslKsd2uKElil9vjCiSQNTZMQMuNSQpQerSeCj8hSKSYoEKFQSialTNc1tNpwNe0qnx7IEnTXULynKIMpkWE3EWlQUu1tfTClWCNG2uImR0kDjRaEWCd0xe0ISTLrG7517wEUj+wbhmS5upnou5b1ZiBtPdM0MROaEhxjyixm9XKRpoK1PTlmsoxopUg+YGdzdrt1NZXuFfZCwna944c/+BGPDj/h6nqDChUNuw2OWd+zaC2/8vX7PH+54YPHL8lRYI2lFEHTdsQ0kXxGF43u5gy7y7ohVZqYM64kbpk5/+N//s+4d/uU//P/9f/JZ09e0nQtVitGNzD5+lkpAnIRP7Ok/sLDY24fHfEv//rHNLIiAmv8y7NZrnFjpG86koiokoklgd+SUi0c51j2xI5MSQmbG3IuDNFDdAir8D6idYNSCbv//ldSYazlN775Vb72hVP+yz/8Pt//8UcUUS9My2FkdrCgZDg+7FifX9b3QhJ0xlBKoAAilWozLYKSavQjR48xkhIzWShMEbgiUbojyQGRqum1ZMilYnVLFgSfodSLzpQDZayVlV5aQhH7A56sDH0EqrE4MiomSLFKvFA1NhcCZY/Yrn6EOpiZYiCWgNaKRjeUWOj7A1IM3Jr3DG7G5nKJ0Ao3RqZcsK3larniz//6b3n65DlbV/jwkyuW22XNc2tdJ/dC0vYt2mrctK2o3GIpVLdNb4+JPnDv7ff5n/8v/nf80e//p/zVv/mXCJFZLi/Y7lZkkSBWU3N2gZVwFRmeC0HAuLnGKoEqklsnt9isVuScySmxSgFjNFJmbs9b/qNfeIuvf+6M4fcyL9fP2Y4TUnZsxi1WKjSR7EfGNEGJCKVQraJEgWgN3jmUBGN6gvO4kDHW4N1EQdK0igSs19concghI4SmkKoHRgta0VCExoWJlCEOG5zQjFNk1s6Y3z7gn/2TX+f26SF/8hff4dvf+zHJG6SAVRyQJRJGQWMlPnjy/rn7+/jz89NpgMW8ZdhGAgqtqFkz76rGXBWOju+y3mwIYURgmTUN4zTWzGJwhBSJJfPeF77Eo/NLwvSy4teYODiY8flbR3wcd7ip3nwtiuvVDZ3M/PaXv8YfffSUj67rPz/GiBAtxQusNiQCKcd9BKa+yLe7kcN2hqbUKaUQyFQIFJZuyUE7I8aCcQ7bVHuMbjWESBKO3SRolEKIiXHy6Latli40WuTKWqVmilOK5CxZjxM5QvATREgCJhfZDRMuBoSSBFclTGFKhBhpTM9uWhKZiLlghaLozDQFcAUvC8FHlK7K8Ck4Yqpbg1949z1Scvztj39A13bsdiNCJKYh1OKaGysDXghiKPjdhG4zOcI2bBDacHJ4ymZ7gxT8LDtmGoFVhWHacuf0LUJJBD9x7/77bIaJm80llCrvsFIiRCFgiGHizeUFvjgEgnEMaKvpjWK7PEdJyWo11qI01TRJyZRQ2cUoSxYwbEdKKYxpRNuGki0ujBhh6yFEgLGa2cGMaTvhhYAoMQGSVEwuILRgvRuYG13tcEIgZcNidkRMhbfePuPNqw/Y+sLJ0W3erK+4GZZkJVEkvB+Q0qJFQCiNiyMqSdCKhCaWgcvlFbpt8Ns3GJ0pMWO7FicFOTgevXyG223xQ4AomHctOsEmhfryzxEtMglotGIaHT7tIBdMq1hulkTvUKKyK3KsLoMUa1kvTrs9jTzzzoM73Cw9zbTlP/zyO/zzX/o8//v/7IK/8a66BVIlX1gtKiO4SHxIFDyN6jBSVUSe1RQpmOLINEo0e2SqzHzpwUMe3n+LP/zzb7N1G2SqxR9CRqERIjGkjAsBnQtaK0KIFFNrgVpZfIhIqZCyUqVSqdlFLQrT5ChFo0RCaUErLUIIUgiQC11nQSnceIOQlhjAqpasIBOxsxZcxE8TGYE1tQheYj0kWWPACJwPTMsJbSXL7RVWKNbb6yq4MooCOD/RGItqZxACPili9CQkRhqKLiA1AoUtGZInRo+RklQkLsGTq/ruQBq2uy0//uzHIBQueFTKe5cEtHbB6zevGN2GMBc8Xk6cDxOq6Ujra3KKNFbhwg5NvURqoevlJtUnQJT/Rj6CkIhUYyRCKJQAmWpOtWsaZKl879VwhRbVXKgKBDxNZykhMY5brLZIJCOVIpWLQpgacVhtLuvhR0pkFgRRo4IITfCBRhn0/ICb5TWyCGRKWCWJ04iWAhddPVRTM6THR7eYzWc8e/aEnMF0psrBQqQ08K0vP+Skn/HH33/MGEW9xEoQumBagR9qzl4LiVEFN65JQlRbY1v/n6SFECM+FlR2TEKQEFhR0KrBU/HIpWTm8znTOJF8wth60NVCEUOmCFkvDcIwiczNas3yZsd63JFirLSqfRRNacHOe4Q0FcdIYdh5UkqVFrJ3ksSwQwjNwdGckgLF7WqB20UODmbcv33Ck2cXXK8yOWcePrjLW+aUT548xe8ctm/4xXfu0AjBZ+c3vHX2NiUUPnn5KW6q0/4QE4VCDluUrg4IKUDqA3R2xBD5/k8+4aNHT7lcbRHGkFPg7v27PH31il7oinj1Hq0tae96uFxPXK3OMUbiUqBtOpogSapm2U1XD6991zCESB4nEImZMaQUkULUyK1IyGJISWCFIQgHTYMVHY2WbMcdSVYzqkbXOEzyvHp1QdtKtlu3z/4XhhRQUpN8fS6enl8zMz2hjLhUbeyJyiiXGrRscd6hczXBCiVIpUZqiBGHpiApYQQNxhp0gl2IKKMICeazGX7a0dgWY2eU7bJ6PmTLlD3aGEQsRFFQIVOkIJWIaVqKT6hU8M7T9i1u8mihMKbBR1d7fMYQR1UvGNKwOJixXQ/IIolu4O07D/n49YZ1rDnuKKoBN1MgZ642W3YfPubZsytmqme1WZFRWCUYvSfmWoidK4VtOoofkTIzt3s5YYr4EPF+YLNa8b2/+jOur14ilSIgocj9BQ6M1nhfI505FLKQ9btFJEiCnDO+7Hjx6kkFURBRStYOo1J0syMuvOEPP37N4/XIh6+WIARa92Qf0KUhkUkpsnQOqRUpRbp2wXa1IcZIh0Sogp4tOL71Ns8ff4QyVWCoVO0RCUV9ZlxNmhShkEIijMCNNXarlSbGCSGo9Cmjqw8oe3Y7z+C2/N4ff5v5zLAZrnHOs+h6bh/eYvvsES4F8rBDiYo8oIi/N8Tkz11sXRwc08hETBljW1KpSEf21sS27cnJMvkVhYS1PfNZy3K1JMcMoiC15ejgGBEzITqmMFBSLfgYo/ncvc/z5PVLvHIVm/ZTo1fRfOHsBCEiV6sldxYHvBm3XG9rfq4xirAvqIlcMG1DioUcA7/5/uewM8Vff/yM3ja8fXSHDy7eIIHGZt59cJdXbxxCZkrxNLqnm/VorWl04Ztncw5awQ+XkURHaySzWS24TiFQUrV1FQKpZCKFEiW7WKdEOY/M+zPOl0uGzZpIJowbdNQUoVhNI+SAzxkjBGOMPHjwDq/PnzIOO3QuZJFRpTDFhNKzKtFInsZaDo8f4IZrxs26TgGVYtiuoBhm8yOyW+EopBAxypLxKGUpQYCKNN2cFD1JqFpQUgLvJ2Zacbo44Pz6mtunD3Alc718TdivUxsFOVas2tHhCQjJdrOhmxm2k0fqOqWIU0W4Nbp+OIU2uClCDnWF3gj8JGitrgKSUrnb84M5l1cXKF2gKKytL8e2sYgsK6pJKQDGwdPPjhh2a5TSNI3Gp2pjbLqDWihKrprVdEM/v0NJmVunRzz55AeEXDho5izH1c+y+Snl/SGroK0iRTCNpeTM4BySgrCGThkO+gUH7YwX62u8jxwdH+6NfytI1OiLj4hS+I2vfIsnLy54vnyNNGBlS68NN+MKoxQpZVzy9I3BJ0g+IKwEbSE7VFGUnDDUCdRu3FHJyoX5bI7WBwzjBb9054hv3DngX33wipsQ6gVSSsIYqrvAGoqQKCmY2QU+OHbDgEbS9C3KNgzjGoVGpZq37BrLf+9Xv4EoLX/yb7/Hxl0TfUWdKiURxhL8VMuZFIw1nB0ecblc/ewAJKVmNj9iGjf4OOF99TQIUQtZJRco9aChtEbCvsgFZFWjUiKTXEBIzdHBbYRRbIcVtoiK/coRlwNCCQ4WLZfXK3rT8pvvf50PX77mKu0QIrMbBjprSVPlsucCgcy877l964THzz+j72a0tme7XVFClbPU8meqDHajCcEjU8ZYjdxbdIVItEqRSo2lFCkQsiIIcynkEBBGoRLErLh79x1i3HJ1c0HfWGZGkFwiyg43rRG6Mvu16XBuW9frRSIkaNPgY8GnCaEEBkkshZzLXk+eUK0h+kDJmZwKUmoEotqRhUXZTHS5Ss66Bj84UJpSFA/u3ufN8pxxs64mVlmRnUXUjUMuhcZ0WNMwpkBwE6BQCnRrGXZblK4GZ9tYRKyHqlwSytRDlha6UiC0IRHrl06p0sBApDc9/+CLt/mdf/Bl/pM/+C5PX12QRTU8ayFrjr1kur4hxIIqCqUNIXsenr3F4a1jfvB3P6hCPlH7M4JCyIWF7YmlTjZJAqENfd/QNx03qxWpFEw92jMGj1aWe2dHhCDYDJ4Q6kYPU7sfUI2QIRdEkvRNz9atqiUYasdDyXoBloXeGFJOP9tSaVvFQEYVko8o3VVsrG0IuoVpJIaBg4M5/XzGcr1j2mwoUvLe/WO8VLy6XO8lPD1jmJAlE8KENIJSIOy3Z0oKhFYcHZ+wvr6hkJnNFoQcGYcJZSzTbo2UEiEMfadZb6oNuG+7ivtUAu8z2rQ1epMTs1mPiBHV9Lz38CtcXj6msdW7cjNuGAcPsgoXZdG4PFXss60dI6VrXpnoQRjuvvUVStrx4uY5wg+U/TR14zxKWk6ODkEWxl1FMyqtES4wxQQCrBWkIjmaH7Bbr5lKQGSBVpJS6lYh50Qq1aSsW0N0QyWcCUsio4XgzvExb3ZrYvAY2RKLosSRg77h+Owev/zNf8gf/v7vVUFc07CZ1jRS0tme4AJjcegEyRREUfhhQjcGpMVKGKdKdmt1j08TyTuKVsgUsUJx6/YJRXRcXVVDtLYNKaVqPUVxupgRiaxcja6FVLCyistign52QIyew6MDHt6+z7PHT7jcrihUo61UihAcjVQcHR4xhcAwVUmUC4kU619TCBjdoJsGIWDYrpAZhKzCqCzq96XI1cUgSsErAyljjEBksEoQYiKITAwJ23f0Zs52swYZuXfvPXZujdpt6IRmEwdmfYfu5pyfX9ToT6628pwyD+7c49mLlxgryEUxTQ5pJL00FFVwIe23LAXTtEjvcQhiEvRKgIDF/AApChc3K3QjKEiI1TPiskfLjFYa2/Ts3IRtJMVndDGEHGmUIeeAS56cBFJZGqvZjNsa2xIKpTI+1Hjaf9fx++c5nv/ch/jDxa2q1pUZpRqS96ScSKVgbUsukRIKgow0ABpVFL7EeoPBogyYTpI9GNWgpGE3rtBSkJXi1mxGyoK1G7AIihZkaehUD1LTlcQ4rnj7+ACj4LPzFdFIYi5MYUJRy3sujAipMVpzaC2zmeHl5YbZwQzhBZMbaWaGBNxeNKTSIXNCKolIHXJmmTUWWwp35oKTmeLZKClZI5uGeSdojSEkiDEgiiIVhy+CTgvuSMmnm8Au+PpiFoZxM+CcwydBiBtchiIEwU243YgSBVUsommYcqEXheW0hlxvp9NmIFfLC1KB0hYi9PMTduOKkDyIgm0a3G7AqB5pGuJwVSUZQtF1llIKuWhSnPa2wEKRkH3CNhIfIkUqZlpx0LZspki3OCYmODjouLh4WQ9eMiMx+ODRWtGZOmGNOYKoayRR6iTUZ4/IglRAW0mcEl1riGnCi0SKlRMbfOVit01PiCPDbkLKTGOrpjj5kU5LXK7rTSXrSkwbTYyJxeKYlAQu7rBC1GdLNdh2xvHigJIir27eYO0BPkxYLUgxUVLB7P+9Lm4JPtQMbKrSICkFs9YS9nl3nxWdzhWnaBSFxKzpcDHhc6GRksNZgw+Bzf4wRMlIoXlwfIJWhperS2J0SGEwSRLwtG1DcFtilqi+qWXYYay6eWUrhzkXmsaSXZV1xVJFWC5mTGOZqRmFwuBX2P0h0gVPFBKV9lQrUYvnQhrm/ZwUE1s3EKOiEQqjEnpv9Ss5MaaENk0lspwc8ObyhmhaSqxKdCU1MXpaZVHKMLiKUdNNw/GsZXABFwo5RZSRe3KRR1m5P4zW8qpqNTLB3aNDVIk8vlqCMbRSo7RgmCI/LYk2pko0lGxqcdfI+sVdFG/fe4tHzyrh5+jghOV2ycnRIS2KIDJBptp7mAKtFuSU99NVg7GapuvqF+C0IyMoOTO6+n5BSBoBU/ZY2xJjRqSCkAJlDVJoUvCk7IlKUiPtBa0koRT29LxKvdGVVlIyHB49IJYdo18jtSH4QG9nhCRQcUsoNXJShCVEz8HhEfPDY56/eMLhYsG429bBRLtgHHekvVVxNr+FUYWrq0uMbcgl1eyPEMxmCz7/8CHPXp+zXr5BGs0UHQZJiwKrGH1A6frZTS4i0DRtNe6KUi/Tk/fMtOath9/g9ZtXpLClbXpGWaUxbljSaMNuN9VS3j7na7Uhl9oXUMYQ3MQUHH3b1RywkNX6KioCVJfMrXnL5TARcp1o1S1QwmhF8I533vkir1+9okhFkgk3bJnZGQ/u3+Xl+RucD+hGEycH+0KjIKNUQesO5yYiqUp/YqaZzdEGmBzeOXwGa3q++sXP09iOv/nh34JsQGa8H6oBUwnIVUymtUZmjVCZTEXr5ZwxuqE6aWvpN1MoIiFKJSv5GDHa0PVzxsnhdys60xGVovhAzlX+FVOkoJAlkaT4WTdEIckl101EKpQi9oXoyiQXBYwySDRBFGazhoyqcjSV9tswydHZLW6uLhknj5T1vzfkiEhVNIfMFDIyaVwK1eGgDK0RTEFw0rZ88a37/OPPHeLzxH/23cdc7AK7yTGbdYyhbmwp1DiY1uQYcCEhdIOkoEzDvTtvc728wO9WtbyLopl3LDdrVFagBTlBCYlu1tM2kpvlmhwhW43IiaaxtXdVMm2n92AATdu0bIYNzkWElvTdjFgKYdxAqu/tsBcgNbZuYqw21TsgJVpKVMmc3r7D4a3bvHz1gt1miY+hZudLFdIZVSfTZt+LqFLIQpCgZY02pnFHa3o2uy26MeT4UzMsmKar22tkjRp6R9NoqvhTsFgc8OWjGefDhkcXy2qDRjBrW4oQpOiRWBpt+cLbn+eLX3qPf/vdv+L86g1aCGIslVqUAr/yuXf4rV/6Kv/ir37IZ6/OK0whJ4zqCbHS/0Cijabpe/w4okvti0wpkUJGW4tQguwcgUxj52idceNEQSNUIQSHkgZyxvaH+61zJjiHVPJn7PvGGEKqaYScSo1q5kDJe0CCNnStYRo8KY3oZobznqbRlFCoNCxRyXZWM/kdVrSVBlTH6wRZ6JuORimW24GUE73uySJU2k9Tu6CiCEKul8NUqlVXq9pxMbDvElRja9SCGYJApMRqjVUkpIDN5PY/x3+3Q/zPHaeZzRZs/YaWirBDFLKu8RRioMiMsh3BO0qK2MZwcusul8sXNGKOQiNRbP2Kw37Gt774kE8+fcM0FITSxOBZ7gpCGbTuCG6kk7Wk5UrBzCx33/o8Hz8Z+NHrS1JK5FywWdLNOkqgNvRL3sdi4OjWEW7ruHi9JCdP3mlEDHWqFavo4s11oLcgjcakhNIQVhEWmdJF3kwdr6daaLAyc9gvEGSullukSmQpUaXsb70ZAjyNG0JQSJHIKTDsfyaxZJQuTEEgssPnisrSFNKYSbauzkwckUrSRlNXgblwsDjE5YwykeDSnv6zQJUqXNBS15eFbBGMZDER/IhUhqNFz2Y3EUKhsTPctKXkgpaa1hiUgYEtLtTcnZWFWBRvxgFTNNthicia1EusbRjGAVVqGWjetvjJEVSuq2Nj6ibGGEquK+K5PSQrw3ZzTY6gFWynirMqaHTJBFfLRpEaTXLTiFYCJTVKWtw0obRivS+b9XPNNG7p2waK4vjomO1uxxQjhkxSquK4SiK5kVFZhjhAKozDdZW7yAbbSCYXScmx3VVyQ0Ygkq9kEBQxVfZ/OzugKZplnOhmtxByiYs1tuGzQkeNlQ5H5GaQlZLQSmLICAoqRV4tLzGqmhXJEJkQxZJFQ1GKKBRGC8LkEK3AaknMksk7pFQIJRH6kOJ3+FSlFgGFbjQ5TIxFoY0lpcRARb+hJMSC1aqSNPY/d4WhFInzGw5nHafHBzx/es7kHH1n+MbD23z/s9c19wlMofDiYqRkjYjbfdadOmFtW6y2nB4seH1dGHyglMJqrD/zGmmoz2gKgbaRBFTN+9YjDMl7YoHB1d+10ZqUqxQkIZAhgFK1pJgE1nb7S3SGkCgkjrpT3rx6SfYTyMJm2hJy5OpmRRGFWWfRytSfea6rYSvrM6uo/9xxGGo8l4L3gbOjGV/6wlt88Mlrot+h2h7pqupdZIlUCrQixABxQihNEQILVShVUnU5ALJpwHtUrGW1g6Pb3GwvuFm+4HOfe5eXVx6bM0Vojg5PGbdbFjPDq+WKmCJZRaTRbLYbVtsNfdMQk8MYhfepxt5yQpSEUpbWHiJxnJ6eMYxbgsugFUokgqvvmYf3b/N362U9WEQwWuJTRiZJq1pGNwKiFoWpviqzgIdnC25WE0sJRWZevvqIwTmyrJP5O/0xN7tLvBLMupbtMFBSqH0IKUgCYqj8cKkyOSe6rkEjiULQqZbtuCGSaI0EqbjYBCIQs8caDXvU2+QjWmour95wcHibL7z3dbJw/M1f/le44Hn8/MleACiZYetavJRqIDXgI3RdC1LRysJut8JqQ2sNy5sbcio0vaahkMLE93/0d9im9keaBhQKrRp6axnCgFIZK1pCLpVfrQ3N/gCUckHFQDFi72GQzGaLukElUYrC6I7F0S38OKBTJKjKoS4xIZREa02mYlfJEtNUVnnIlfCRydRzRs3DFwGj8/sYgSBF6jagSESJDOstynYczGeMuyU+OKJIvHoxYJsWSv0eyrnQ9SfcvfcFnr/8W4iKxrZMcaj2ZKE4PXvA5eU5IU0MU+AtPfI/+/VfYMqC86stv/eTFxSRGaeBJAo51ENuvTxLnHd7yk5CNAcUF7h5/Qo0CDTEvRgsZJCSkAMmaRqpwBq2uxUxVpN52X/O3ZQZtzukUXUAVur2Yz63vH3vPj/+7BMWsxlaGUzXgoDLaQSdyDGhqZSz2WLBrOtYXi/JJeOzZ6FnFGG4vrrk1UUdzigpyPuLWACa2THFeRo9kYgUoeugozWYlCEn4rDDWIVnRDSgiGRZtzlZ5MqM1xoQdXjaVJZ88nWgsN5c8yPvqyEeUKrGI0MM5CJrNFAKQvE8ff2ID198WsvmPpIlyMbUjUs29IenQEOMCa0VKUS0rNucB/fex7kN62FJjJ5pt0HJBiErTIQcqxDKBxKZrjEQPWnakY2m5Cp07LsF21Q4ObvHuFkimhlxmtBWMQIqpYqdpE7CTdvinadpZpScCdGjZL//eQhciBwfz9ncwDT5uvVyhYd37uJC4fzmNYmI84nJJbwOGFHlU6aRtGgml3BiorctoxtwIWBbiWkEzoW6NZb1XWV0g8hQpKiG8JBo9gjykCJaWmZdx7DbIIzECEWve8Y4EqkJhZL/3ZPx8uf9C+/dusPd07sEV6fLKWdqnLlisAQSRAaZQWpidFxevAQfUCFg7SFNf4YpluPZAb/761/h7PYcoTUx1S8c28ygFNy0IZaIT5GYIkHs2G3XPH78lORGlJE0bcPxrKckCD5ihCaGmv+0tuGgO+Sr736Rs5Nj2qbj8OA2JRVSFOhU11NGweGs4f7tU85uv0uWDcPk6cgwFoLT7IKgBEmMjoJnt71kvVoRYmLwsWb9J481HbIIUsjsksGlQAgj2QdyDAzB05aJGKrQpSRFKyU2Chqz4PToBCULu2nH4HYsVzdsdlM17sXCmB0xBYZdRETw0TOkJetxSRYemQNaJMI0YIym1Q1aNAgKpRhundziqO3xeYASMUpSsuf2wRFC1ZeoVgZrzN4cGGqPgMxu2ODdis1qQ4718C2yJebE4CaCzCRR86FaWQSScXCMMeOiYDXdMLprjDFY2yNVQy6Vfy9gzyoXqBr6xk/r+oWgFUp1iFKNbCrVD4KRBj8mpLBMLlW6h9qrjGXBl8g4DqSca0ZWFpq5JAeHFEAWIBpK0UxjQOsGY2o+LqdMTn4vyQLvXWXvSkvfH7NLmZTS/pMjEUnQCEPbzNmliYjCyoqEKzmQfURR6G0LIpGTr/lUKYiyIEvCWonUlT09nx/8zBonomZMkFMlE4hSb/px2qB0RgpFdAkjJH4aKTmzmzastkti2JNFQoAYUSWQBXXykzJKZKyRDONASonP3znif/PP/wH3jjuiiMQiWFfgLRFRpz2irlFLqdPwemkszOeGRlRU3tHxjEKmExIBtM2Mw8UpxmjC5FHZ1MJXSKhiaI2FUn9vuYDEcL5a8fp6TSo1ZkXJpET9/VJjWtPkEKXG8qTQFEk1qErN1g2VPWN0/VVjyClSSmaYAqvNrm5wNMgs+EfvfZ7ffO8dlIZURqJ3uHGquLO25cHZCd/8ykMODnukNGjV09t5RRhKwWFv0ZI9KUlibM2YC2n228pMKHukYI77L9aIjyOj32GFwXYNfsrkybEZBoIPvHz5iM3mAo9D6EpGyqlOElWRGKEZQ2RwkcEFNJnDztDYvkZhcmJ59ZjNbgVCEvcZ7HnbcTI/RuTMZ48+5uXjp0hd5VSn80Oa7gBPoW0acon1YaQeoo3uODq5xe/80vv8b/8nv8Uvf+MhSlqGkEklcHow4+xgRhgnrs5fkraBaRt4eXFBIxWq7RBth1EWjcEojTIKREIbXclGTUujFygJXWOwtiNFyd07X2Qxu4vB0OpavBZCkYWuUbGU2I0DXtRNj99uMLLCDlKRtKZl3s5xzpGL5tbxCafHtzk9fkBJkt16SfATKYQ6xcyK68sbrG3Q2vD5+2/x2//wl2j6Dt32+FxLh4hCCgmjCoMba9lZ1WKiEpretOiiWfQzEKLG34rET/s4qNW4aYfWksV8gRQSN034zZYcJlIpaGVB1I1PLnWaX7Lk7Oxtjk5u1U1EisTgaduWQhXpSCXJKTC6SvOKMVOiQmuFEIUpTUDFPmoEbpxIQiEMKNvUDoCrkjVlLEIpFl2HVglSoVGGFCMxVgmONJL19QUlZ4wozA8sN9Hz/Sev+d6jc54vHSdH1a1RCkhtkNoigGkYSTHS6haRJVqYGiEkgkgUN5Kiw2gDUlBKQpKB+p4POSGMorOWmBRCdvzm136J3/7132DW1km3kYKUI34cSTmyHR0fP3mE1QphMloGfuGte8z7WQU7CIWQFmTd/C6v11xd3fDuu+9j2jlCGNZuZDtObGMkiv3PvIhaVJaSw1v3ODu5j9xHyOpLqXYh/FR7N53tKy41SkRWCC9pZYORlqZv6Wdd3TbIumn4nX/6H3J29g6Lfk5nW7QqSGkZR8dys62COFEqfz1WbK4QghgdBzPDu3dvkUPtQMScKahKePMRIQSfXtzw//jDP+X51SVZJFTX1OdZGVKYOD44wsgqdBQUUkz4POFSrhsaAV3XYbXBh0yMlRznY2Q2W3CwmDOGLaIU1ssrpujZLs8RogqsdCtAimrulQLRdFUQmAXjuGEKA84FUnJEVSM83kX84FgcnTE7PMSo+pyfnd3l+KirPRMfyQiUaTCyks2mMbKdArvR4VMgZkmJ9cKKrJ8zLTWLdobSmsYuMLrGmGLel6uFwhrBNiS2cQIF88URjW0wyqClxmWPZ8AasQdR/HtGTL65eMFm2lVCgm6JKe4bvjX7FYcdIQ5IrSmpUCE+nkYoJpWYxhsOja/SFpf5//7R3/Dk8gohKjLPFsEw7vApIEXNMdVykEJrmMbAanNDlgHdWNq2wbuEtR0+TBilEVYTs8fHwGYXWK2X3Lv1gBQNUs1Yrq9JcVMz5tJiRGShG/7pl2/x7UcbrnEoERFWYnUhRI/IEaMastZEIlo4nLdItWcte8giMQ4jPkZSSkyp3rLIHZmIVgFT4MhCiAkfMorM8fEdSho5v9qyCY5YRlo6hLJ4CaczQfSKdch1upISVjVY1dDYhuXqCiEyWWS0rYUZKTxdY9m5UKkQwGqzYsaCNG7Jsq4H2/6I5fUFN9PEdrtDiP2kTVTtsvMBJRVK1Be1nllcdCgsMUqUDljRELKrIq0YQGS8q5nfIiQ6VO19SvsohRXESeKDq2IagOhpGosUBt0r8ujpmo5URkYfUVT7m7Jg22rXDAlSqfgo0y3YjhvslBBZABklJchEKgJtLbHAxfU1SBDKIFJAlQhCE0uh+IF5N4dU8Aikqqiw0U8Yq8mpUEIgzTLGNsz6OYcHxzwfN6hiyTGwWr2ppcmc8UMtwJASyZgqMAN8yQgkRkMYR6SChKL6kBzrmxpfkaKgjCWGsWq7pax6cWHpuzlDdAzDssYQVMtRN2MjEoNzaKsppRBjoM77m3rwFYWYq4MhxkhMAbdbo5UhFcGj19f83//Lf8M6CoxuKKlwEzVJCg6P7jFulxQxkgClNa3UjDmjZGYaPF965106K/nws2eUnOgP5kQfSCGzHpfE4hFS4eO2vkRVRc5NLiBI9RCR6/RbIuq2IMM4uvpsFom0DVOopeimMYxuh8FwdnKfKayZtYa7J3eIccNmLIgiaz5dgjEGHyMnRyfMZjMeP32MQiCU4qPzNxzP50ilEEmCEBwcHPH22+/z7NVjdli++/FL7t+9S3SR+cERu+2GYb1l0Vj+0Rcf8mcfPyMpxSirUMc2BhdjjRooidD1UihE7Q5IKstfdS07X6MYz8+fY2RCClPFOEIweMerixW667BzQ5lqQT3KyjXXVqNVXQvfOj7g7u2HLNc/ZmYMR4sD1rvE0eERuoNh2JHyyOfufZFf+eZv8v/5V/8vht2KK59ouxkgEY2lBA8Cht1AyLEWSJVBJUm2mpM795nPBV94cIv3jo/5G/2cmAxffvsuv/LVdxl84U+/+ylPL14ya2ZoLZFFIUtGRkHTWaSpsTRTKmNeyMDkR6xtEGmkFENWhiRMlWeJwOurpxhlQAus6vB+IpZEioLZvK+RjBDY3Lzg4+mGNA2EFOv2SQYShpQjJwcnbMeJo8URby5fM/gVh4ue3/m1X+ajl8/54LOXHBweIiIkLYiUOpm9WeHdQBgEfT9nO0W0ECilybLgXaibplwtsDF5lG5ouwbnPZfrC2QRNE1lqw97xF0uHh8zWlSTJCKgBXi/wocaWdVacbSYMexq9wuZUW3P7/wH/1OePfmAv/ibPyDmCZUEWijuHliupoCPmXY2J/qRsNtHCIFUFKooINKoGnW12jCNA3JfbjdNTxwSUmu2bsOs64kBsgtcnH+IRFSJU0pIVWi1xhjJEKkXDhTXm8D38oabP/4JeMXztedmnHChxqX0lKvFU9cJe/BT7cNIBTnX2C6SEABZiGRSqP+++cERwxgJfoUyBjd4vN9RckRKw61bR/yTX/1F0ILv/viH+Ot13QQJiSyFohVhcngpEBIenJxwebPlux9+yNZPJBEQWoKAg/6U09MzXl08x7uJg/mMWV/7KaUIRK4la4JHGUkUIFVTySluw2bckKUnlkpSU1LRC8WUAikLPAm1J7lpUc9Pm8lxa3HINgyEKdQOmpYUkbl4c0GaHNfLDUWkWgoVst4P5L7MGqHRLZlApiB0JiBY7QKr7YsarwICqZq/SyGLRMyR5y8f155fkoBkrixeWpQQ3Dtu+e3f/Br/+t96fvihQ5JwJaJSrtbaCAXFOAUgkSUUpfG+XsCsMdy+fcrysw8oJaOyh5xoWkOKtdzb9i1JW8Zxi0QSfCCGyPzgFjJ4YhkxnYKUaIzByxprXocREyFrQW0oRn7wk++h2hbd1P6S8yP97IAwVXhGEYJSRKWt5VQvO1RMpSLWi6+01Q9TIuSJs1u3eHnxiiIE3icMGqUNUiWMqRGrm/UFCoFuDKMPWGGIwG7yaCF/hq7893aIv9osQRQ+/+DznByf8uHHP2I7bmsu0ntyrlr2SGVESy1JwTGUXJE9DKzjCEKx2m1582mdVBvZ4F2mb1saaskm5wDW4mNVL7tU8Climq6u9EIiloC1LS6OyJDraltJcgl1cisMHz15xnv3LaeLM16++oxT1bAWgsFHUtFIJUitRw4Dxm2QPuFyZIyhcp5zwCSFKwUpHVOqJd4cJ3KpuvioDFZItJE0Dex2CVEyi/6AYSwgPWNMFCV5vP3p3ydAKK7P3+Ay7OKaFiipECxEP5GjY+sVIoPICUmDUbXk5fOEDKn2C7JAJNCiRbeahKNtW6Iu+O0W1QiU7Dk9fpsnmx8Rk0erxG5c1fLkeF0LpmgyihQjjZWgBEfzW0zjFuUTYfBQBMJoWqtQ0nJ6dJvz1XPathb20uQQWiOyxOSC0YIx1Mmj1rpGCkS94Ji9LtKiiLGQSiINoFTL3bO3kXngsxdPSIQ6VSqCwQVSivWlKRWzRvPw/uf56OMfstl5jJK0fY9b79BIkJkUIso01WaaC5OvhdpEBlNoxIwUPQ/uv8/l1Rsur55VDKPJiLTP8WuFLHB99QohM6GZIVUhpZEcM51uEDHUfF+rMa0l+VjXfnuGeM7Q2RlT2L9QCVWy5AvWzJC6IWbFtLvaU+40ymY0iZgkDSBUwkWH95XY433gvXcf8o/+4Tf4l7//XxGlQUlT17993V6EPNUSrrbIsjcil4TKgpCqaGRhDUs/sH05VvKPlKQcKaGu0KdxTfSuEg72E3cvJYv+gNGtUEYzhch2GxhGRxaZYb2mUaKSe2Jde+dYuwYgCTGgZaBRDSFXU19nOtbba5TQhCQqu7tESIV/9NXP82a94sevJtC6Ukky6FIocmLKI37rGOITdtMWg2LRaFaO+jMpgrYRiJJZXl0jco1WRJV5FSaev16TQiXFiFIP98o22G7Geu1ZnGjG3YYhjGwunkKpxdttTPzZRy/Y+ow2FpUjk4+VwCDqZQRRZWACUaNVSmKV4uzkNqthZAwTWtTCoy+Jo/mCrRtrdtpoGqPwKULSe0znhBYKsbcKej9gTcPLyzUvr74PpdC1M067ntXyis4qfvmXf41nT8/58Qff5fmbF1z/ye8xjtVzIWSEGJESVsOOEhNGtmhZ8cFap8o2Vwo3DTz69APU9oin53/AJ8/WrL3n7fv3+Y333+er7xzxYht5+96O692SyU21KCgMorU8PD3j6+9/gR/85BOeX1zSSMXOj8xn1aLpvYdOoZTEhYGSS71sicw4rGjnxz9bVedSCDEiEYSxPksxZlKJNEHiSsAVUSe9xRNS5uh4gReZlAKXmw3LaYDk0TPDm+sl569WNE3Lye0jbs9mbCfH4xevoQTWux2bYFGNYZhWyFKQqqnIuJwR1Ol2yYIsM23fUxCM00DJGakNJRZUM8OHgCgWmX0VpfUN73/+C5y/ec3NxRXKSJwL9O2MkCticLNZI2XNy4uomNnE9773Z2yGqnVXRWCs4nfeO+Vr9xf8n/7kQ4YUCCWTfcBogRKZRKrWb5k5mB3x/sOv8MGjH3A9bvcl0Jbf+MbXaLuOP/rL71cfilIczntW222lDWnBYnGEczuUlHzx5BjnC5+tN6Ri0EpSh+SFq2VFQ4ssyKp+DubWEkogh0A/n+FDJFPoWlOn6mMdCjXaMIRqEC6lbrh2qdK6SikoVbCqwY01s1+pTLYeYoXjo6ePuR5uGHYTIkF3dAu3vSamWizOeFIqKBTLzZosSh0KdS2i2EokM5IH77xDtzjk/PIpDYK/+d6/xbYtQkiMKCSpSTGjtcDOe+70Cy5vVrxz5z7TZseLqyobKjmTSyamKkRLJGSc0Krh3p17vLy4gjCQY4IMXmaUUkwu0ZqGKU5M45of/u2fk2KitTOGySGVQlYQE5Kfphsk1mq0tEzThBsSMVXLvNQGpEShOOl7luNAotBKTVL1QhdDHQgJVbhz/wgXFlxfvODswSHraeDiaoXR9VDaWoWUHYXMwekDrq5fIn31CihdzylZ1MHbOO549nIip4LpWnJM+9hrpOk6/OAZppoWaJQipkBKBaMlVtZ0aCpqX9yHwVdYRyqRkgo+VkNqI2Sl4xhNmgZSBmO7WoSN+46Hrn1BgUJLOFrc4mZ1iUCgUt1O2kbSKcHp0RxJ4c1mYrXZoWgoMtHZplKsQsZqzVtnd7i4vsBozbxd4IrDlkJJBbAImWisZXKubpj/Hf/8/HSado6whtunb/OL7/8C3/7eX3C5OqfWohOkmhcfYkXntTPNuHMkURvgMTjuH5wQhWE57KoivWRKrAf0TmdchFzAGIFULWcnd3h9/qxOUIUmpEQpEbLGyMLx4SmBiTwOTCmThUHLSKcMVmm0acBY/Bi522r+g1/7Zf7igw/54PlrcnTYVtMYzcweMiRPSp5cMoYWoQW6sxzqFhcG+s4gTIuS4DzotsWKVGUQsq9bAzaQLMEFmm7BbtqhS+H1uKPJVfEeQkSKgAuVGzyVWjKaW8WQApmK5BPBkYXAmoZhGml1Q2S/kt/LjJqmNrDntiNnRcieo5MTWttTsLx485jjo45xKNw/vc+LN0+IJTC5gC6GxbxhSoGzxS2+/MX7/Om3v49PsuZptUZKiymRXAopOUqWFRiUAsYccHx0wPnFK4Sq7Xci2LZhmiY6bXGx8oQpkaQkVitSKPiS6aWgSEPTtgQfkEIzpYwSgTuHJ4zBsd5s0cqgFPgQYP/fIlRdEYqSyUpX+gwCRaHRLWOql7wSE1qamvJStbNgbG3fI3SdZGvLydEx680WNw0IWV8MVkk22wGhOkwjmEaPMZCSxKqGQq7PvVB0piPFkV2qpsFOC5SGtm3YTZBzwk1jnT5ONTYjRBVhNVDZ4zGy3ZNLtKJirRpLkwuLecfT80uk1jy890WWV+cstyuyTNw/vc0X3r3PDz56TpAKv1lWlItQHPZHrLfXpORxMUAKdLbf/7cXnI9obZh1Pbt9BMUoQQgBIQ0iRZS2e/JTrvZIahFQm56+P2a5ekOKE0IretUwxkjKUy14/mzy7xFKo5Wm5Eih8q9/egArUnA8WyCEZbXbIEukCEXTWHystJuHh0fkHJBqxmbY4H1VyfucK+7RqDpZEplGKhbdgq9+4S1++OFTbp++xfM3z9iOa8gJrTUx1WdWCEEWIJWGEglJIEv1Bui2oZG1r3Nw2JFCYBdCRUYWSWMNbhz28YiMlIWTg2NuNgMyJ7JKlVy1j8FUFGvtXJSUmM0WTL5aS0uc8DFhlaDr50yuYmSNUkAipoSmI8QJITJoQWcbbs9OeHn5BmUqV7udWXwIOO9ojcKajl/86jf5H/4P/mN+/MkP+f/90X/O5mZfulM1ToQoKCmRqlAdOjUS2dGC1Wy31xV1pw2NtgTpSDFhdJ1sh5T5wuldjg4X3D474Px6zeNXF+wmRwoTPmVKqTGDdx6+xX/8T3+X7/zdB/zZX38blQpCOQ4OjvFTYjOsCdkhkiIjqxWTjMp1gj/EUONsCEgCawRH8xmvb1Y0sieIgFaCo3bGW+885Ecf/pgQKxlK6KYeLhGIohj9WNfloebMZ01DMIKZnvOLX/0C//Cr73Ox3PInf/0jrs5f4Uqg6w9YrW8ghXqQRKC0RJsO70aUakFUskwMteM1BUcR1VlwfHgLLTRXNyvm8yOMLIS4wSf4xvtfY7W84fmrZ1jd7YuRNS4yxkRnLMhaEhfZoA2EOqKmiEjJhcZYHvSGhVU83gY2k6uDGa0JZKSsL0ORNQdtgxKW7TQRS0abhpQj0XtOj3u8g2HcMWs0K+exbVvLuhnGEOi7jpIThyrxf/jtb3LjIv/Hf/23bIpC6FpENkIwBY9UgiwEMteYURGJRmpm3Yyvfvlz/OSjj7i63lFkrrShAlIUirQVniAVodT3rW00yfn9MCfTN3NCjDXrn9O+KF/Q1rLoZxQcwy6w3U0oq1EkXAy0wlJkQVtDKbUTMQ1TZeGTmTeH+OzrZa2b1zLpdo2VkimlSpUxGh0zWgpiCCxmc7Y5M7ea1XrDvJmRY2KcRmQj2E2epu2Zxl19bnIiConVDSEVTNNT/I5qn6nY3K7rmaYRi2LMHgvVISAVD05usRlHVtPAcdewC4GQ99G5HNDScjQ/BClZbW5IKSPJFFUwum6IjNHkkJFS0OgOjOXew7d4+eQzUnSobAjGE31hpi3dvCGh2Wy2CBGJLu6Z9wGpgNJV0Z1okLkmG0KOkAVa1Fhe1zc1ImUa4uiZdlvq11JFUdrO4NyEUYZGGzZuqDbkUi3lWndoLfF5IlOILiBty0w2+DgwhYhuWiy1PxP30jotGooodVBMomSYtwuGyVNEZtHNmfxALrGiiUu9CHW64aw3/MYXbvOnHzzn5ZgYPTQic3J4wtXmDTkLlFbcmh8y5kDY7LDzju1uV7tppWBsQ8oKLSXL9SUp/7ef4v9ei61Hx7d4c33NzfINf/Ht/xo3LimyZpRqXs7g+amYReC9IKaEUKJmeYXmy2+/zeV2zfnqnFwsIitycsyajtEPUBSqkbU0IAWtNRhTiytS16iCFhJtW0rw7IYtWQVEASXrTcwIxVeODziZd3xwuWSzGxh84pMhsfvLv8KFVHNpCLwPCG1oTMt2vUTpgpGSyABZU2LBYUAkhjSjiYnc1ktGCYkgc82Hl4yLEykkDuc9RTtyiEhqBrHV++m6FBidkBhKzIjOUlzATYFRZqIqaBra7oAsV+yGCVkCSBjjgJIWoSveUkrBZhhomoYkDS6MALy5eo0Umll/gNGSYT0ypcTLV4/JSmAlnJ3d5vXlNYMfmVxgbHdMY8AqTYmyTtxTwfsdSRSErcjOeWM5O1nw/PKKyQ+cX40VzxUqbq9ow+gdAk1QkhwT89ZAlqxHVyfKfY/wEykJlJX45GisYnFwyOX1lhAiPkduH93h1uEx59dX7MYdOUZKzjSmNsF9rln2wTnQGZkN3eyUYViRSfTGEKVG7vsZSUDXdpD3U+GQySXhnePm+g1CBHTT8o0vf52njz5jMwRunRxydXXDmB0KIFeqwBSq0l7kCEqz2e32JAhJMYmNh4WZcXk9YlWF08Rc6DK0WpNkpmk1nVLcnXd0asaTy0ukyBiloZhaunSBd+/f5hvv32PzV56tD8gkkMbQzmaM05bL5Q2vvnNZCU8xomxDToGSPY25Q2M6km6J+RqrLTnFKtIQqm45siPRI/dThRAjpuwxeAUoGS0MmZHJBxpjQVRyzeXVKwQFIxtSmBj3a0yrW1zY0z9iqcKvtEfGCk30E421CKkQwtBKQQ6JrbuksQ1TAEFhchXdVwo8vdkggG88eIvD+ZzPzt+Q3IiRgiwSC9WhG8s4Tpye3OXV+Qu++8EnxJD56NGPUY1BqbpaFjJjZMV5NlYxn89YDSMxKMix5lVlh8iCkAZSiby52KJFQ9P1qDRiek2aAkZpcsnkWLcW1zdXGAxCVw5wFtV/UFLCU7PsqH221CXm1hCTYFMTGxQEfjthpAJlEWXC9g0yJ5gSKEnOma5pOFvc5h98+Zf4s+//BTfDBqkyIteLLMC4GyhWcdjOuXfnNq/eLGqBDocwmuw9RWZSFhRh0LkWoBvTkKSolKYw0XSGGEuNjGQP1N/lMAaEqIQgVMuTN5f83ePHIBUuC7Q0e4NqZhoGipTcXF/xvR/9iKfnlwiROOotuSiG3QYXCimCzHsuc64r8pgzSWpECvjgaZTBmh6XI7O54uG7d1n+3RaRIjkkppA5d4nlhx9WI2nOCK2wur6TUqm0CiFTzVZTkClRjKT4iMRx62DBOw/uMz/Y8MNPHnN9Y5hWW5K/4osPH3C1vmGznaotOkSKSUituHv7AS9ffMo4ZZSuYYVSyx6QZS1zAvagqbzyWP+fS0y8fvWC3TTgUySkkaIkutU0SrJQDavNGu8CSlnMzDJs19WsXMD5RAECkU9vHH1j+NZXPsePPntZOxb7oFqRdRIulWB2vGByAb8LmD1PvG17diVytRkhVnSh14biIgjFycmMkDzDxZopDigU2yL5f3/3E5QweKFRSmBEIaSEbGy97LlK9UCJupmRhhQnrreF7/zoA0qMoBtyGgkFiqxGVOEq3z4jkKWgG+iUYkvBNh0xDGQcMVfnxO2TO1xtlxRG+qZnGMZ6nmhABcnnP/cFmDKvLl+giqJfzDk6PuXV+WNCCLQGtDKsB8cYR4yyFQE9bon7mGx7OCPvRkBWClHJkCVaW242S3LKBCUpubBJGWUUsu0wTUdTbkh+xBjFvKvF6BAzJQeMsUhDfR5CQGmFSoJpnPZxGIFKNb9+evYWJUbuHM2RuhBk5nd/5Sv89d99xqeXG/rGMg6xLkNCqVGkGDFSodCkNCGIaCNJ3tHaDoog5BG84/njjwkuspj1bIc1Js3QqhZNY0qEUH0p42bH0fyYkBNlitUUHydkLkRZUbMi+EriiYF2fsA7dx/wq1+6xcdPXvL4xjE0AjcOpFK7cbap2+wQAr0U9Icz4lBw48ThfEGOBmkt7zz8Ch98/DeUMNbNjpT45PEx1X5b9Lg9CasIU991KXNw2DPuEhGBlDVOJJUANEIbRDZ7+pKo5tqYaGeKKTmyqBfyVoIjYBrFdnuFRFWLe0qsdyOLk2P8bstuvcV2PeM4IomIUk3JIui/r0j8z3+IXxwdsFyteXD/C1xcPkLKgkyZLAWxlPpwqBYnB4S0TPvbWRaZXECj+Ounn1JCom96QsjEOKKEJMbKXSs6EVy1CiotefrmFW4YaaRBSM9i1pFCZpgGrNEoCyVIMpbFbE5Yn2Ot4RfemvHf//Jd/i//ZuT8tavYqhB5cXONth05xJpLjoAb0WJJMXUdFlJk3pgam0mCZVqz0BajAkEJlK/oraE4+hb62RmLxQkX1+cQRy63FxQkR7MzEIFxuiFEXSdReJzb4aJFy0wvO3yMFC3RGHIc8X5DyQMWSSckY6g0iqIKpdSHQCaDFpbZomUaVggxoRTkIusB2jkWR0e8/c59fvDJd9ECpuIq77RTbN22ZqRjQRbFME18/8NPEKoF6/E+0haLkh5RBH6cEEIwJcXLi5vKm1cBlQWL+ZyL9TXBe5LMCJl56+yMont62/Pq4lO+9aXP8ej5a26WK8K4xRfB8dFtSAkXBgY3sts9RQnDrD3gZrXiZrNCaVllProeyEOYSFIyuV3FOIVEKYG+mVeUmBsxEqxS7PacXK0KqVQqg9ESGQRaNxwcKm62myobijXu0i4Utw6OeN3PEG7JGB19r/GpIqspmSIjs+4EowQl7QhJ4BWUkmqJOGasUey2O6xR+JDBJZTYS4+kgJzpo+Fb7xzzv/rdb/LofMl/8kdrxqWmbRdIlQhpw3Lr+fj1BW+2jsOjdyjrN7x884gsCiRFazTITM5lnxk1+BAwpQCK3bAm5kjJdTKfS0ZIzWEz52baIaylszOEzphScFMAMmOOHMw7DpqGy5sbQpYY22BlQBtZ+eztgpu0pIhIYi+QyXUFKVpFIwRN07HZJoSs0y98wraSohWiUJm6IZCEYCqikmhixpqKUTxenOy16yPOj9j+kCebJaNfV9GYSMRE3R7EAEaw8w5//oJSPLFYsqjcfTFlunZOCr5aPqXdlyEVF1cr0CBRdFYx708IsSFmz+DWtLM5UkX84Em7HVpq4lhLYF1r6BqL9HVLllImqISVplKylKrsZCF+9h5qbMfxyQGnjUWGyIevr1BSk4skRY9pLKfz21xvr9mGSNxWk6FtWwyKIurl86qs+PaPfsQ4TZWOFQoleVIKZCRaKPr5IS9Xb3j8+O+Y3Ar504hPjihV+w2ERKsVKWdChpkx7Maxvh8oSBQiVwNltzjiwekpVxevebVe7bn5gUdvniFUjQniE0JoUnRMyaGkRSrBYTtnGgJ/8dffJRRPzoVzN+yJKQqjGqQse+Rc/YZrjERSMXqxCKystKXR75BScb0K+A+fULIk5cys7RmnDalEptHXHoKR1R8iJNtct8OSUhng0lJUoWsbfKg0kSl7Hj19xdHRh7gxM2zXpBSx2nB2dMrJyTE3m1XN+sY6uQ6h9pJurp+TZapFPgQlRmQG27T4aaqGW6VI44C2isYrEgUvFFfLK5Cqbq9KRpWM8eBiZNK+9o6oxUwVPY1q8SmSBPtNhwJlkCqTKHz65OXPtjkx1fy9EQpPoiR49vwc21TSiZIaEXaMLiOUJrhK/9G2QSAQJSFS5Ob6Cm0sM9PhwoSnIBr4zpttvfT6gNSaKUcWBx3Dblc3g0pi6Ugik2XBhQCiRhiidyQpaa1itxM0xhBlJdEE7xFaY1qDzvX72fkJaztkjAhlcTFXRHGQKCSyZLJs2Q51yBRTwCeJFZrxaomeHTCfnzGMq1p0DRMhFWJItAcLVqslXWur+TfvM+77g7TUtUtgtUHKwjSMKK1IpdTCbK5lZqNrxLQgyFkQ4lB7QYR62QmBSUVSrltfnwLEjAoBIeuBXUoBGUwu+JwJIiKkAgwPH3yZ1+cX/PDZJ0x+oG0afu8vf0hwNdcesqCdz3jrztsM15e8urmol0oB2rR4F4gxYs2MKCIPHtzFoHn89BG+5J9tu8ZxoGTB2f13UFbx8tmHjONECGtK0Vjb115ZKAih0U2H6TSyRAa/Q8SM1XNoJXE70sqG7B29KfjkWK9uGFLA2hppkbnKGsNmQmvLe++/za1Fx599+yd0wjBvCtu0Y/KeDz/5LiE4REoMOZNKQun6OYxTpG0lkyt1s2okuhWkneDs9C2e++fgqwfAKokWGRcj69UVMSeQBYsGXbtNV5sRpQTffrLlZioMMSJyZpoS0koW3SG7YUO/OGIcJlaXF0itMVrgwkjfNICi6BrHRpf/Trzk3/sh/vzlc4rIvHz5ATlnphhp2qau6WO94Y/TgBeSeW9oPcgEuzhSqBpbN3gO+wVrtyOmXJnRwpD25QLvPb2dI4Wg07aylvsecib4hBAR7wNaVpnH0fwAcuHi5obNdgQSKXmudoFPLnZsHTiXaY1FKI3JieQySipCjGStKCIw+jURTZ9MzdTFmnXs20N24xtcCMQkEE3N4EZtyaaSQ05Ug5IwTh6fCo2Ak6NbdLNjHr1ag7GoDGkALTJCL+rFJW3weUQbyzTVda6MCjNrSeOaKHNl82JQIlOUraXJGAluhZQS03TUalJh0bbEEFE0GKOZ/EhnW6Q2JL8loiGHihoLI7momqvtJM57vvzubXKAHz56hgai2GEaRWMXLJTGNg1CdNxs3jBNA0Uozo66yikuGaEN86bBp8J22JLUBDnQW83n33vAy5slfr0hx4wRcHP1EmVaZseHuJsRUiUM2FK/pBBgxQGlhJq33xdAYtgbIqUgI5lLixs9ScvKfrctea8GZ28DVcqitaqF2gCWgHfN/tBao5tIQfCeDz/7hOwSqQTmXcM2VhwbUjJfHDOOa2Lc4rKm6zv8eosqka7rmFxCaEujM7upoial0ig01khcqrzb0TlckvTKcHDYcRbqRuj26T0WBwsubz5hXNYJeEqJs7OH/Ef//H/Jt7/3x/z5n/8+ca9wn5wjx4ISLVruzbclE4vCqELfn6HKjvXqgq6bEf2OlBLn60tiKTRGIUogxFwNyBJIkpgzm93AOE4o3XI46zmc3+Hxsx/XSXJ0rFzBqIaSDd7Xi7tWFQUWvUcqybB19FoRUZyc3mV38Zyc64FfGo2bPNY0lRyTKvoQItXKZ0AapmlCqzplLNNYFeTjgDLtPhedKDIzRcdu7eohtWTIai9byyhRJVE5btFao03PsJ1ojKCdz1mvHCUWKBEHNQpRVkQXiCGTRMY2PV5mjKwHGmtblKrItzFGJAqrLYLEjsjopp8NNhazGRfL1xgBurFkEqvtlryOSNniS6o0DllZG2iFtAOd0YyhTt6tMTWekatpkCLwbuIynxNyzX0WBc7VTULfdvhxRMXI9eU53/vRX3O18ax2W6AOVorUNHpvWQyBJCAhmNxEKAmrbRWQyUhUBp8z8xLI0XNw9oA36y0yZfp5j0sBN01IIcgqI9NESVByRlFdDKthV7d8LoEylQGvBYuDW2yur8liQiqJy3HfIBAUWVGQ927fJ4aBsJsYcqRYSSMNu+iIeY/3JTKGRPpZL6vg9kKW4BMxV9JTLuX/z9t//NqapfmZ2LPsZ7Y57trwERnpTVWWJYvFpm2K3WSr0YDUHLAFAVJDox7rH5BmGknQSIAaajVkWpAEsSVSFMkqsoplsqqy0kdmho+4/h6/zWeW12Bt1pAqQAWeYSIREffcvb9vrff9/Z4HpRVat2jTIsqI0ZLgEj46CvDp+SWbP4Iw7bnZXeF9qB0I5/jhT9+npIgomb5pcNLU/K1Q2HaB95710Zr9uEOIgrQKJRT3ju8wTXtKq0iHqEOWnpIKbdOTC7gwopDcOT1lnkc2N9cY3bLSC85efYOb8wu2foKUsK3FT4dYj5a1JEgl9sxh5GJbFfRSSlKSLNcriveEFJGqFnJTTCgDi/UJq2bB1aZuWYUWJAU5TBivEBTGydV8sSp4v0cUkNIAlYSSsse0hs5I5gTbYUYiuXe8IqTMONU+UyMlTgiElSRXsbE5VQt1FvFwkZEIKbG9ZZ4m7i5OUVJwdXVFjJmmUQhT6BsNRfHFL3yBE6n4w/feJ0bHYnHEPA7kIurhKRdciFyLW/pcOLv7Gsend3n55Oe8uHpOUhqbFeNuD6kyvq2p3a8hThQhESkgouDi5hKhLFaUiipWmuAd2hry7NDaIJSuBVxRaBtDTIHgwiHOJxGyVKWZtHg/V/KTUpV2JAVhrnG3nHOVWCpNKhkpoG0MT55+RBSeLCJKWKZ5rFhGIWvU5pC9f3lzxbTbEHKoG7pchx4GQdSaHDO6wItnz/BCoo1F5vo+0KYiIxd2yeWLz4hEpEwEQSXlxIAthRADcwgYrQnRc3rnlNurF5QsDrS4mb50lVzkN2ye3fL8+gJtLUkqJB2JkfWiZ3Oz56jvmYJDdi2n91/j6sUThJT85S+d8d/9zXf5r//FT/johWd0AxJBpka0NILGtMiSyELjpoQsUITiS2c9r791lz/84SNePvuU4h1pTggN0hbmfY1wZlGwB6RlVtQJ/WG4khN8eh4o8jBs0YIgBKrpQC3obeDu8VtcladkZnKW7IYbrBWU4gHw83QATFiKKH8h0/g/9yFe2QWEWwqmGv+0IMf8Z+a+eZ5obYd0mTxOeOoXXApBojLlgwvYpWDdd1xPm8oMtwJRItZWhF6WkZQFV/tNLYoIUx/nslpRpYJlu2QOiXE/0JqGmDMLa9gOgaAlf/hsw48vbrgcBFp2ZFXFGnO45dXTFYNL7EaHpfKBmyJZLxqCqdOemCLLEnD7a46VIRrFfnA02qJUZp6vkallSoq9vOLF+VOEyAQXaRc9QsL17Tm322uMykgapjLSA4HC7De1SiAb+s6S88idZcfOCzbekcnELFkuz5j3uwN1RtbSVq6GQkqu5JJSJ5uJar7tugXDPjGwZc57SB4pJXW7X62oVmvAYLVlGAdQhp9/9rzehAHT6EqXaRvuPniL6ByPn36ONlvadkWz7Bm2e85vNphDtKNO4qFpDD5H0jDxcvbcXTT8/h/9nKvLPUvTMGRXS88yE8LEcJOr0bfUFe80bYgxs26P+MLDB3z49HOmOSFFpOTIuuuIqeBjoF0Yhr2npIwpioSi0QLnqbETbQi5VNyeEJRQxUwmyWqNpVoe266pD8voeProM6LWLJe1k7G/eURnW6KStZiSZc2+6sAwj5imIUZJ9IWSEo0BPxVso8kq1RdIKnUShsKa+t/kReC7j675n/8ff4c5wCcvdyAmnl5KVl1PihnTn+LCHucyL6+vmKY9X3ntDlfbgU9f7FEI+rZFdseYriOOI8N0RasbtvsdY9gw7TboxjD7RKM6Uril0RUimnPB+RmXIlIp2tbSio6yh1Y3uORZ9ZbbzQ3z7hZVMjlDY2UtO+oCUWNkneyI4pGqhahJbiYJgcgCUSY215W84kKsE/CYEFrVvKwUZFLd7JWCURrdNVxcvayYMtNSkiTEyDhvKVLVF1ysF7pEoWhJE6uteT5EJrIfa0lZ6Ip7K4lGaY4WZ7jpOVkohoPl1zQtX3jlPlJaPvzsEa0SYHssiXtHZ2ynagvMOVRiToxkVbn7KYT671OCkgpaVEkJQlYiRHFoYZBC4eOMlhorDJfe1a5JKDS2QVKLxnEeuCqJOVZhEweSvsieLA1CCoJ39N2KZnXEfH1OIw0FTbIOP831sFgkN/MNbuP4zg9+jJYZo0vtg2SBMStCmohhQovqVDC6dksWTYduOqw07KYrDvw7drstu8nR9UfYVhPdXHGuUJ9FJVFK3YxUtFoVVxVdY5KVrNVitGHIMzInxmGDWRj8XEMfymhUqofumOqhZ2Ey79xb8vRK8N7z68omF4V7J3dptOHJ+TMS1Ro7H6RLxFpY5IAyPT66S2P33OyusVoyjhMiJt68d4Js4bOX1zSrjnE3YWjYbDcEP4FskOowcXf1slvIyJIZJ4fRlnun97gpiv3mglgyq9WSGCZC8Ae5V8/qZM1JVzg5bfABXj3peHQ58eHTa5brjmnvmeaK4QvXt0iRsJ2FACkl2sUaJa9wfuJkteK1u6/w80efIkWGw+Q05kBjDTKUQ2a8ULKkNQ377YwwBVMglhpPjCEhhWDYbjm51xOmgVQCUtRnZVY15CVTjUa1izXjtKlFwuyxxrC0PRt3S5GCHD1BWLTVCKqAa5g8PipkEbRNx/HpMRfnF7j9SNMuEcITyOh1i90nfIhVnJZyNVYLQZojXmWSFDS64eGdBd949yGfPb9l9Ja/93f/ezz+7GP+8IMPKcWCbcEHckpwKFdqJdGq4/jkDsPwkv12i8s7itDoUvAikb1n0TZ4n9lNCSFmioL1nQeU2TMNNyDqpVoKyTQPNCKSYyYWTycVGFXPRhkKqcbSKhYAY03FAjcaq1tiDvTdit1my5wcbd9BhsY0lJLr1lUp8r8ZThwGnpfb55ydLOu2zLQ0MeGKo2SwRpEzrJdHLIxhDp5OW7RQ+JLYux1SC3QsFFlo++6wNSiMIdbLdREszZIgHEPwxDizPjoBH0nJk5JAKlldA8KiYsA2qqYs5oHj41N2t1s28w596LSF5A+ZeNjPgUWpxdWul8wDHHct9xaKZ9ceTINKhY9//jGPXz6nZFgvF3U4FKFbLtjNnhgdIoFqwaqWB/deOwyf9mz3m6ooKZHPrnbsU+EbX/wKn718zrNn20oKShLvaqnaWhCp0OqG2VUfTTU7G4zhgHEFn3zdrhZToSNZcrRe8Ojz5wxPf0IMnsYajLFAIWcJxVJKrFJOJKXU7lX6CzjF/7mLrevlsiL7RC16oRVGgku1dNItj5n2IyVlCgl0RhXzZ/z4UiTCCJpSSFn+GSPcR1/zvCWjSgHTkApIcZCjJE27rKtIITMKzdHJCTfXG1LyqNYwTTNWKJQx9YEpIIQZKyW+UCeXudA1tmKMSmbab2m7Zc1MFoUloZolOQVm51j2S4IfOW4UUi7wJGy7pDGCSMDV7gvrvmFIDisV+zlgdEYmC6pmxaVukIDPe+ZhJCmBxuLmgSQbcsk4P9PqTNGmqoF9wCjJ+s4pm8sLXAws7YIQ4+FDWQ1/X/3KN3n+7Jyrmye1sOkSq/Ua7zxSKHJOjPNIoxWiUSgpKUlQSiCXQkw1o0hRlBhQRpB9wdgak5lCqHGFLJicQzUa52Y629A1Td28+IS0oKVG5EIxksk5dDS0rcEHh1IabSzRzSxsh0ueIda1Yr2KHgqdWdd1ayn0i47jtiWIyG6ciSHgXEBTaRMpONrlgpBKVaULWCzWTONNja2oenFJCZYnp8QQmPdbpBLoXOkmU57rBdAYCjW61NqWcfKslyti8pWpn2XFqcbIGCLaGlrbMY8j3ap+Ef1Yp47IRIk1798ITdN3bHY3iFKQtOScODs6YcqJWGZ0yWjR4GMiFs88RZarNfO8q/ZDrVkdHdFIjRCCv//r72Cl4r/6J99h72ZiNph2ibGKpZDsw47kA5NL9K0+IM1qVKzTGkTl/O994mh9hNUtN8OGadgilIIkkNTSom47so+EONFphc+JflFtpsOwxzSWMINuVxXnlXydJPtaqspSoBtFmCLZQCs1IZU/m0D0Tc/sPDE7WtOSgyMVwaJbEFOsUjFlWK1XpJLY7/fE6NHGImSh1XUiPYdQGcZAyXXymUJGlFRXq6H8Gd5RioJpFhU9qWS1/qVE0Q1ffvtNztZrvv+Tn/LG2Sl3e8uPnnyOS4KQDUlMGCQhFDq7gMaQ8kwJDh9SvUzKhiTrQUxrhdGSGCPEhDywpl2Y0E1T19tFkHyNSRhT8D7WC7QUtbSLQJhq5sV70AZRJI2RrNZrrq9v6Zcd0zghZVOxizEjRMZai0qJIiRJGnTJiOJqOdAu6Ff3udk8h1j5yMoaBAf6F1ScrdTMOcBB7W6FIKYqmpkLBDehhSAbw0IpXrl7yuwlL64vMDqTooEcSLogkyJljxASJUA1htk5BIpXX3mTx88eQwos1wuGcaryt+To+4ZvnJ3xX/ytd/mjD8/5Rz95xsZXlK8Mmddf+Qq+bLD6DB8dm5vHqAI34x6UQGLIEvq2xQ8TKQeMhJAkx6sVbzy8x4urczbDQQaXE1YbtFB0ixMePrjPp49+ip8SSglmF1GyZrsPb6nKIV+0jJuBORxMrWQUkRALfbfgzfsr/tpXTnn3lRXf/eCKX/3yK/zuT8/5f333A6Q1CCdx2R/woqpO+4wlpoRVNSqZSRhbM+Vu9viSWFrLPHt0W7eS5UCQygczr5a6FsiFJKSZVbcgJk9KVDmeopbWRUYIhT8MemJINS5VNJRCzv/msyMooXodXnn9S5wev8bP3v9X9eCqLJ1u2E07lBGoLFHa4FIEdzD9FcF6dcJ+ukVLya89POV8v+GjyTEPcy38G4k/8M2REqskOQmQ0GrD3/21r/P3fvML/H++9zH/7E8+4eG9L3C7u+Lp00/q4UjIGrNLEWEbsnPIUmianje+8C38/poXF49RSiCUxO0nkkis2wVzFjg3oQ7SNdXo2lPzntnt0RR0a0kuILOuWEYkC90yhS0hVQKV0ZIcC73tuB33NdIhFBRFSr4O1qRg2S0Yx5EQ67mqFGhNw+g9Xa/xczV1CyEqrSXXTpLqDMllQkgomSvhy1reePMhH3/8GTEXYkw0siFpiVaZaZ4OYAILQVRTsTQUClNwlf4HyFTouyq2DHmm+ICyLc2iY5xd/bwER84gdEe7VAiqjd3FzPromHF7wxQCGU9negiZ1VFPzjPDHBGpAg6E0UgJv/L2Xf7j33iX/90/+5jHV7eEMIExh8+05M27Z4xu4mYKWGNxweHm6dDLTLxy94zf+JU3+f3vf07TNHz+6IKz9TG7aUPwAWt7vv7ul3j88hm32yuCTyjTITWUFGj7JeMwUHJAKElJdWglhEKpGvMqKeNcorOZMSmWXVdR0SEyu5mYMlJKlLAY3TKHkSIzOUSiyFhkJcVZw7C5qWbtf8vPX2ixNWVdLYbF0/YtJee6Ai8CgUVnQ9/37Pfbij5SAikjqRTapoWkiKIwBFeLBgdChdG10ZuSIofEK2dvopXk5eWnzDEQk0dGSzaSpWghJTb7ayY3121AqjfVGDL9wjLNcy3UojCmRRCrLVYqcs44bxB5wKhlvWVlVVFmQnD3RKJFT84Nt7sBUQS7oLCtx4vCNOy49/AVxLxH5Blte+bZE3wiyUAWnpQNKWec8yzaBXMs9FZxRx7zlEDJiXEc6danJCXZ3tweCn8SJQzRjfUm7RPzdk8UkhQLs/b1AE9BS+hsw9PPP2F2qU4blWJ5dJfoaoat7dds95fY1tYHoRdgMlrb2lAvhXmeOWuP8N6RjCYjafqGkh1KWZa2JaTAsN0d1r+a5XLJOw8f8uUvfJkf/PTHfProCT6EOjGQCVyNIylrKVIc/g4SOQvW/Yq/8qUHJD/zWx+8rCbOJEBBv1wRxkTbCuI446eBS+coEZJISC1o2volUkYQo8KPEdVY3nn7TSSSjz75gJAnTFPNaz5lrIDd5TmpFLqmIZXIlAZ62xMcWCRTSHQy0zUWCiwXPV9+51s8fvwxl8NLAlDmGVUKSkGKgSnXImJw+SDEAW0lZIMnkH1glxyjj2hZkX9T9oQ5kYQhEYhzrDIlWdCdpQzVoBmTwyWP0RZQXF5f0cuGTOT3v5d49f4dpNCVqJIyJUw4V8iHOxlS0nZ9NS26HVpEZl/wwWOMIWaB1ZbdboPuRvxcYygI0FaRUp3UiTgTkWQt2M+BdWuR2eB8piTF3eNTlvYOiYbPXn4KQtJrQ8gjWahq1ox11tCrFtN2hHlL8hJjCi5MFKWQGLTtGJOn0z1vv/oGHz39DGUNALvdtpaGBPT9guAivaol46IUMkoK4H1ASkEKB5xXrsXFvlsyuxlKYg4BaRtyCeRkKCEjRcK5kc+fPGK7PCaUyOBvePf4iJwVKRUKkUYplKkHoi9/4av8pV//S3zw6CO++53fh7gjAEokpMjEUlfyPmusaohpQihJEJHF8RHOzTgXENTCn7XVDGykPUxrBFYpHpyccXG7qSQhDrp2BS5DuN1DEWxuBqzViBQrEUSD0NUSMMXK/C454HLGKoPSlr5bcHn9ec3aa4lVBpElThasEhhRIwC5JGyBLDOxFMac0UrXiEGWWKFAFWQqSNvw5Xe/xfnVLXPM3OyuSCViSYgMjbVMYyZQSEpgnaORhhgjaS7Vfislu9sNRjWsugXbIdLljuth4Ld/+pzzfSUhFZ+QpR5snl59RimSk3XLatXw0jkKCa0NSukqCXOBHDIohaQKs5aLFQ/u3UVofShyZqxWkA5xAguT2/H+RxfochDmaFi0TdWtSwkxIkQmRc9pf4d5N9W//zxDht5aFl2dZq+V4PWTI9Zdw4vNzP/m//0Tnt2OFQW7n9GmDnVKgs5KnK5WT6Pq5N8YwzxHjldnvPH663zvxz9BxEgKVRyUYsF2Fj9WBGkQkWXf4rxHmZbZzyipcc4DhaQkkgOZyFg6o1h2RwwuMs87UBIhO0zTsttfV8O2qOIpnyJKCK5vnrDZ7jBSUVpNipLdOCAO0Iu2XeBy7RMILRgmT9c0NEvJnCxGZ+4vNHeWpzz59BrTVCxxKZVmlnWgpEoUUVqTfY1X/sGPf8aLzYant7dstgNh/hBVDH1/jPcTbdscXBmgsiCren4xStDJyOruMbe7C6bRIan4YS1VpaAha+zFakpMZB/ZJ0/TLCv9RjUYWQl290/ucbm5Irk9k4sUpTFGEdMEwmIoTLNH5IIMYJsOYzV7VwvVOfpq424NZYj1EF0yLkykLJjHiJUK3UiWi2NWjeGz8xdEmelVz8n9Ux6/+IwHR2fsxxGXEtfXm8qiF4UoE0kmjK5xohRrBtxIg5eJKCrJx1iLKtUwr5BoVYhpR2MsMgqKrh0BiSAlTyMsEknbaLbTRBkNWkqCC2Rgc3uBSAmZE0IZgp95+95d/tO/+TW+//FT/uhnn7MZq6jQakNIgQ+e3vJ//92P2OwGBjcCBVMKd+4/YLfb8fnLyxqXzYWd2yOsAgklJWQR7IaZH//sEbud48XFBhRstlcIZTC6RVD40fvvVRysyKhWEeOMShJJZtFqdOm52e6qfBJJqzQ+1yHjPHmKFCgh6+W3ObggsuTI1rjzpFN1+rQwzTtySrUjYXQtiktdN3mxbsr+In7+3If4yIwsmlZWe2lIEqMVJUJMnlhGZueRQNEK5+vkRhuFz5CFJ/pcofpCokXV0ctGkYAQI6AY057kfG2CCzCdxVjDPHm8znzjnV/kwf0TfusPfotIbV8bJMVYQiiEzAHlN5N9pDVUkohoSWVGppnJzyQBGcPCNOhFxzRlnl9sICaariHmOnVZmFIpCUAQjs3ugpgKmoKMM1989QFPzm/YpC0NBjfPtEbilcCXgZwsYfYs7r1O5za89drrnL94QZojg99RGEkoRDRkGdE6k4SutJ/JEyVValAKBUPbKh7eecDF5RMmN1NQSNnSNT3HixWP52vAIlTm4YNXeH71AiEVjQRBYjeMLNoeJRTWwlQioQR0kcRI5TSLhLIWIw37YQc5Y61BFcHR4oy/8zf+A45P7/Hjjz6lNT3ZDRSt0Ac1+NHRMUY3dF3Df/C3/hr//F/8c7Q55d7ymE/OP2VtNScna1z0XF7eoJIlzp6sMvvtjFE1LhRLRkjQCLrmmN1+Ty7TwaQmkFoxu4FHTz7HqGpmLEmghOGo12y3A6arm50SCt3qlGHYIFMhTxF7wEy65IgHzq9pLY1eMA1bpnmDyqImCbQiZ1cPAlJhTN38pOzIKdEqQyoSlzykOhnOhRqBMJZhHFFaYrRgu7tAiICSPdb2jG7HeHVLEdU8632gV4bZx3qBSIEhFpYry2fXWz56sSWFKtGwjanSlVIPRlJqrKj82zkMLBZHrJf3OD//FD9tKaZFFRApYdpqeWy0RaTCGB3aZoyx5Cw4u3PKzfUVpRhGEdnOM5aq725ly7D37HjBsl8jiRip6/emt6gQK4YQSVKFs/UdgmlxPpDKFqLGWktAooXH+T19v2KeAo8eP2HyDq0qy55US6OroyOUKHgxoftjRISb6+dAxclpbeuFKot6wKdOusd5ooRAEaUa9qxAHCI6y9NT9jc3NCZzb7nm2e0VPiWe3kau58wQA0ujMcryV7/4CqaV/PZPH/PVr36Zv/5X/jqrfsVnn3xInFueX11XQogo9QKray41i4RuNFJkpCgENxO8R0qNlKUi8aIjUw2CxuhD2T9ztbml63sSheBnGq3rgV5WVFsuBSVyRShSBSKFTCtrqTfpArogQkKhsLZnM94yjkM1cmoBQhBiIqWA0ZYSE7btySLhfAQJCyv50uKUj262zKUejvrGMB+ifkoUfNzxe3/4rwkx1dhYjBidsLYhU1AHdr4Rddqv2453X3uHJ5fPuLx5WglPOdH3B626G1EChmlLiIbf/uiCgmYImRhrFtz2LV//1q/w+bOnXD3+hNvrRE6F5fERwUcg1zx0gTRPaF0vExSBC57Pnz2jEKuFWCamXFF7RkqCSJgwoaVBhhkh68HXKonB4mMVbmUKRUmubq6YnaNI6pSVWsr9ta99hU/PX3BZMr/zwQWBxEcXOy6vdghrSaLQro8Jm32NfeFpuxYhFGHcU8Sh0DlsaEzDfhx5/4OPOVh1GISjkS0pFlIqICW+CITUTAdC3DSPdH3LOLgqDEIANXKYsqD4QhCZdrWkO+14/PE1RRVi3EGYEZrqtFCm2mITtXxJw2LZcTVE7i9Pya1k0DOTn4gxkETEdoKz5Rk5FdL5JYjC5mZLLgmXIv/800syhXGaKrI6QRQRYwyE9mCHziThMEhyyVzeDIR0Qc7ViO6URCZHzP7P0JeTnxAIUsp1+ELBWsV2uCYNCTdO+ADZzVhVBUPDOLNcrAjOEVJBy4p6TCkRvUflDCJwvH6Fm90Nl7fXnKwWqOMFNzcjQsA0TxRZh3JFeUKONeuuJSE6Eh5ZArGUOrQJCTfXIqcAFq1lHutnXyhN1oI5JMQ8keKEtgZLi86Red4gi6o8cjfXw6VsyAKs0pXWFEP9bJSK15UHa62UhZQiqjHklBBR1JidUpQSyVKTs6xnpZKROROGkUZJZI4YW7HQxlTMcwwZEAcWvkMfSEitaUl+JInCBy+2fPDyhr1PtEYjDn2cEAKXQXC+eY42AqUEzkVKSVzf3hBmjymCrl0xuB1ETw4RcqZpDNEnXAh8+FntFwjAmEXNppdUUZnaVEY+mpjr5U6XmoyIJXBztYFSy/mmFbjRI0loKRAKGq1wEaRORPQhihbxRfDce6Q58MWsxk0DpPotqwORRJSJVhruHq0I5ohh2P67zcTbpiO6QCiSEAJKFJToeHi6Zpwdq6Mj0uacDFgsWdY2dS6Z4h1aC5atxedMzgmtDFkkkggknxFFIkRhu7kgxIIgsbQLpuQZtjfILFh2ay5vr0giIoxAF8s0O7TM6GVH2DuksEBlrycCe1/olcL7La3KzCGjpEGIUksvJaFpOFktcDGQ0lQ/IAXeefgGz26eohJkYeh0i3AV8eRzRJrM082GIsAHScGiVSImQWMWFGaUdMwp8NnTj5mSYzXUldXeb1i0iqFIZj8Smx6RFSpLpJGQEkVZ1gaS0biQ0bJB+MDN9TWjS5VPjaKkhBsGLuapQh3yTGPPGOaZ6CJIwdndUyCzHy9x0SGRpJSJPqGkwfv4Z4gkUT1jzM6hlGLMGZlrJm833fKD937I3s88e/mMvdujtEJS/1lSQkwOaxfs9yM//fF77IfA3j3i2ZPPuHO85tntln0IBw5yLZEKLw4QgxqtsqbD+XCYDjdYpWmMxEWLyJEiCy6OaFPNqlFJFIW+7xBC4gPYrkMZRXAe00j2m/NqzyThiTVnWM8VdbJkJON+T5SJp36uN3xZaG3DlD3GtiQPMdccdMQjhKUUyVAiQhzoECSUEGRZtyY51dVzqzXz7MgEMIo3754xuIx3YBZd5dJSFeh+SiipSD7Sth2xiYdprKZddHjCobwbyEVgbMdRvyT7gDWS06PqdfBZst8M5DITKYhpj+1ahuQwUtZNSHEIpVjKjjkFREmkGHnx8gJRIseLFcSaZ/f+IKtSkjQHRj9xO4+cdUuaNmN0wz7OpCJwqRAzQORmv0GqgVZJmq5nnEYe3HsVoTo+e/wRuRT87EEHxpjQWpGiQ0tFkQJtW7SSTLsR0/bMbqrTLaNptK5EjBgpob44lKr8/ZJz5ZQf1qML21YpGXUz6CdHNpp7q5Y7x3e5HSf8fguqISVJIwzffP0B55sdL7cbLl5klOh47733iAE++vhT9rsdKcwoKZkOGX8jqyDMaElIkUTtIJChiEyje3yY6gFDKkrmgJ6sL1t5sF+WmBj3G1Ksm5IUPDIVlotThBS4aUuiatxDyoQcEVqRcsWmFSHQuRBKIZfAPN+iZD1e5uhQtqsccdOibEU6CtuTgkOWVJGl3tEgub/qeTSM5JD5xsMHFJX46GoLWaGKwCLZTRMUyZwdInmUthg03/7amzy7vOXD8SUheqw2KGtY9h33Ttbsbh/TKFU/W6I+l/fF06oqnHHJ8Xwj6LTElUwMGWNgtVrxK7/0l5nC77B58imlVKHQOO1RwLe/+QtMIfHeT39MqUEVRl+HH3235O233uH5i0fE3ZZceaAgwYu6FcnIintFIJIgh0JUmTQ7tDzkgqESOmaHMuBCwLQ9RRUmP/Hdn38AJEqR3N5EhEgMw8zgA9klOqs5VoqtkZjWMoTC9TBgGs2i1QwuQalDrUAmDfsa1QBSKnRmgY8OMihbp+Fa1ee1RCKlpVtIfPRYrREi0/QrvJ+xSuNDJMWAxrK5fYEXEqMskVQ/jyEfDj+SFDwuHCayWRPTzO7mGeTCcrGsk1GtiFtHEZrdOGNCIUYoQuLzxEKfcHLygKfPP8BISX+3yoNUmkkYjBbE7JndzLI5wuWxCr3yQXNvDU3f0K+XnKxPGR69TyoF7xzSSB7cfZ152DPNniwKgVLfc1ozzp54dU7fHtGvjzBjwEVBypnBeXLKTLsBicL7iJMFrQ2tthiZCaZua2+vnrKbHaDoe8Hf/UvfQKH5R7/9J8xpRuiGGDwxp8olT5VqJ608/G+SHHzFdNeUEFLK+q6IdbtecqZr14Q84/yEDw55dMzx6V1ePHlC1iDSiFbwctix6Bdsr694eXlBp1vsomMO16iYaUyVqcWSWPRLjOm53WzQqg4yh9FXDn8plV1uFGGOJFmz/G1rKFnhRUELjbAG1Tbk6x2i0SyLYZQVIy0FSGWqdK7r8dlTtOTZ9pYnv3dL1/Z8/a1v0K80P3z/I1IMtQcj6p87y1pI1VS+vJgKIQRM3zO7a+I0Ya2tEV+lUboh+YkQUu1PGokGSnJoLUkR2q4nFE8Tq5fEa4OMhVQKk5sRunpZ/DRhlCCNGUHB53o+0kKxz5EUPUqpA6paEbIiy1g3qlnSmIpTVkpTUgRRSCXWbo/SuOS52u3IYUd96P87PMSXQ3Yu5ECicNR3KCXYbTdMwRFLIMWEzwUrJipsokOpQkBgUMzTSBISBchyuHFnhUhwdPIqJQcGd0HJHmsVIRWk0NjO4H1imCbGcs3Z6Zqz0zs8ffkSpGSOM4toidHRdoaCwnYNSTeU5DHUJnvyCXJDVgWrFL5IAjXKIspM1yiKWDG5HT0d+2nC2J5p72nbBVlKSL6Wr4qA4Jj2ilQyKwkowziOTHlGl7rKP21bwmZkKgGhNU8vHjFOE26e8amh71uMEXVq4QOlaLyP9EIx5EwYPEnEuvkw9dp2tjhlzok4bYGA1HXyQjyUh3XD+dVLUvQ0RuFC5uJqixHQdh2iFO6uzrgd9uxjXef2bUsEfKk0D1UK3XKFL554u0VYS4wBtxv4ve98B600UM2KBUHKAttqrBIIYfDe0ZL44P33GbxHmx6XHNZ07OY9woVKNzEaSV2HpRxrTEQfOgzW4IIjp8DV5uogYsr4WH9fxmhErBEhLTt8rsbRRkIpAaEVsihKrKrqmKsMSMi2rg5lQunDAUqAEYIkEj7NlCnRa0MujhSrKTaHwGp9j9kNzNOA0ZY333iL/eaGm9uXxJhoRYuXEmSh5MLR0V3GYWROkd1+xGpdH3BZMY0D57d7TGN4cLRmdIHraQcp0ACUgmyOECqTg2fdHbF3A9M0U6QiF02JDrRBlsSDO6corXl47w5ffPMN+n7BH7/3U/7k/CckJNq0UBIpC1ISpATGKmL2GBJe1MO5KIlUEtF5+n7BME9ou8DIiTlU94EErILVsmfZLXjrlWNeffCAQuHRy3OeP3pO06wYS2DcXTOlka5ojo7XXF7uMW3LOG6Z3QYh60F8GidEKQTv6Pqeu/2C1x6c8uNPnhPCzPU80RqNTAVD4M7RPU6++A1u9wMvXn5Gya5KmpShiMy9e/fYXN2iRGIKEyhJVHWqZkWueEUx88rJHYoMXI0jtcYEOUXa5YKYPR++vMLnwoubLU5purbh/c9/zAeP3q+K8+QJOXO0XiHmgps82nT1ZR5jLV4Zgy4GZRvmUOMHWesajymQEdhcJz4RASRyiChjKKFumYTQpFL7Crf7a1qjUaIgG12RvQSM1AhhSIfPujlki6W2WFXwc6SzdfqKNhz1PbMPDPOEaaBkwYN7D3j68jPSgfssbINXLe/PILSluImfX95W0/GDB/z6F1/joxdXfPjkBaapA44U6mZVRMEu7Hn/oycg6uVCSUUis59GvvPe9+j6nmAKCos2CjeNFBLLtsE0DcPgyKLiOkNylKzJKVX02/VLfutf/Le8fHnBFAOd1pQSiQlA8vTT58wlQinEVGgaTaNh7zwpJ16en5MSpJiJOSLRCFE7DLrvyGgQBSurkTXFgIg1Supi3ViWnCgxVu7/okZN+7YnpsQsJduQEEGSiTQUoq+ldGM0PkZ8yYyzI4jMMOwRSh0MloLcaY5WLRe3kb7v8EWQpoHWGobJV0eLllVYlXPtOYlKDOEQv+oWDYv+lOnmOc4HConIFkFm1R8RUiGJgNIt0zBwf7VgbjXj1qE1zCRa1SJNJMVqVC8lEWJGlMjRyRFzKTy+elaJIynRHDpBytxhGjaoaY875LrDPPLy/FG9lEjBy4tLlosWIRr6toVU8LsZqxVTGlGykFDIVtPbFqMtr9w5Yb/f8eLpo1qIrgslsodPnz5Cirr15xBFElSDrBscxEQM10QfKblGVJWxECtBJJRY/Q5ktDIQMz4lhEm4WDPSJSburk4YCyAVr9xZ01vJolGMs2HwnqIUyrSs26bKmiQYq/HJMLtA10lKFkzR1c9QLuTkmVN9F1ptGec9Qha0rfn6cT+wn13t1ChLJHN21uCdZNEdM7YDu3GuNCVfoRbWtmRpCc6jtKSxK775rV/ho08+4PrlE46PHjJNT6rBVGhKqR4IYzWCKuwzRbCP1excmoZ7d1dcnV9SRMFNFfe6XK/Y7SMQoVSvgBAapQvRxfpZVQXnRrIqHHU9inIgSwmwmhhGRIRAHYIdLZdM+xGhJSE4tG5Z3blPmEaWpkVqzcvba7Q0nJ7eAQyXt88IQFMgHQYCzs+EElmtV+SSYfakUv7MbKtl3ZqWw3NCaVnFo0XiQ0KmUocARZBzOiCbgeCwvSVHQc6ZYfDY1hBFqpc2cdgOl0KJCWVbSkxEWfG9fxHH+D9/Jt4nbN8e0DqZ+0dLtrEw+JGVXSGFZUiVJRyFYtW1xOQpOdKZlnkO1cKoa244Fs0cBkQjEbpws3mCkKbm2KQAaRBZgUh4F1ES5pxpcyJSWK7W6MsLhKnl2XE3AzDOM33fcme54HazJ0tZDai2UJSGkjFNDyRsmBHC4udERvHVb3yD43t3+OM//UOmyXOznzCmGjcTgSINuYCUCjfMmL7j9PRVXpw/I+IIeUPTdRAcg5vIKfJyL5CyPkaSHxC5fr7NgX/cLi0mWq63e0Scq/LcNngpUSnSdAYXNKF4ZKwW12HYQdEoqen6hs1+jyp1pa1MRupA8AVENSoWURDJ8eXTNU/HQNGWd197jfObc15cZEpnmd1EDImVrdixEBPCjeymiZwCOoJRdfWVkVUSMXuMEhAlQUD0CWEKQmTWSvGbbx6hu57f/XwE0zHMH/Nsc4OVHXMZEXEmlUwmo6wFXXNlSimGaaA3bZ3+lEr7kEnT2AxtJM8CkQtCCVL0jH5i1fcEnylSIHUtQnVdj5sSwU8orWnbBiMb/DTi00RMmUW/YD9P1OupqFKg4hlTQFlVtc6i4rNk3LJUltI3QOTlxVMkivXRHba7mzoBFZJCodGW/W5guTxCeMGw29EvOu49fIVHn37ObpqxWpDSwNVwkCpFT3a5Is2kIvotPZYUYTcPtTGfE0JGlG4IVITlum9YtJrf/MVf5he++RVsu+Tjx4+JPrFYrBnHK0pOBARalHpR04JYErmYajIskTnX+EHf1cNdToWi+6q6V4mmaVBYRKiGxNOTI37lK2/x+sOHnJysKWHiyycNvxsjn7zYIn3d7JASY5yZziM5BpZS8fX7J/zw0QVWVjIBreGsb3h2vcEJgZQtNzf7P/vOqVI9hsO8o2jo1mf8Z/+D/yk/++gn/F/+m/91jSxRWK5WZDyqCL79pS/z/rMb/M0z1suGzbCj+EKShexrZO4bbz/gyfktz65uGcY9x+slexcIbkYpwXaauLNaslofIVdrzs/PyXbBfr+pm5YYK/lJLtHSE0Vg1XeYWeD8TFEZcmG1WrE6ucOTJz9n9jNRZmTMh7yzRWTwhwPD8XINKTK6RMrUbZfMJF/FQcuuo6Rcn7FFoJWlaSQp1ihaLrkKzYB+vWZ2Ez7Wi22uVSZUdkxO4HM19bbGshs9z549JgpB0x0RYyR7R8iJKzcSc2LRNuxDQCa4ubpmfm1J8LfMfsbNCaVb1KG86nLASMXzy5tDsbdgjWQfMjplQi5kVyN0U3CUUNGQdZsWQTX0fU/wFakacqYwolRTDZ2h8MEHP0FpUQlkMSCkhgyxJD6/fkYuElkKOVUSVtQKkTO9aSDBfrdH5loiz6FuOIsS9RBYQo10qXrA0lIyz5HG1u9BJmLbltlNBBfZzzO5ZG5vb2lsw/HyPvvtFVkJNIqYBnJMnJ2ecbu9xVpDSrBLuW6QdO1gaFHLpM5HdsMEUrFqeo6OTnj09BFTziSVAUUYB6zS2F6zGyeatqk53gxKG/w0ss91kyNUgawPGyHB5fWWVARGC/bjBijc7ie8hJITgweBpOhckZQpYpuWECNdazk7ussvffEdfvDTD0nSsx8GnI9IY5CmME4bOlNwQVdfByBMRjBz7/iU7Tgx+4FxcsRcsEJV26eW+JwOCNSCMdC1Pcp0fOG1L/H6/bvs3cj7n31AGwIhJhCBqMD7mb63pBBQSaBztXWarsFgmOZKiFKNwU8TQlZfhSiFUipFSZsDb19kjDbkFAlZkkVEFkg+k8RMUopxivyX/4/fxwjFxd7XzgcCkMgScbPglfsP2O8HpqmWyIVIuBJR2GqObe2BeqQRJSOkpdcNIUV8TBih8SKSpKQRivtnbxHjwO1wQQ4BkuTm8pz95KpsyxhizihpKSlhjSRGhVXVk/P9P/1DhmlPTpHzy89QVtBGQ4qZfMBHtu0S5w7bcq0rA0NKslGMt/v6O6fiWgWS/Vi7hSXXqN9SadpuyXp9yiePP0QVgZSZKALvf/ZzHj82mAJOC7RqCPMIQhEOuGmtWkxsCaaQmXnjja+y3Z8zuhk/e+7ev0+RCjPsDtZWT8wD2loIVRJY6iqYQsWsboZALgFZBD4FGt3QtR3baUurM6KtNB9JxXUKUZCloqrbRcc0jWijKEkhwqH4HFSNDIpACXOVABqFaJpadP0320VRS9QhJSgSZQzR+393h/isqvGLlNFC8OjiFlRLyRK1WlfkznxDZywx1qmnyAVhO4LPCKn45V/6Nk+fvODm6gZXAqYVaAUiSoSWzP5AdFB1FZUZEDmRhUQohVGBYXPOz96fKCrVHJcSlQphNTkmYqo5qevr2/rh17Vck7UkuolSAq01hJBR7QLmmi99cHLCL371q7z5xis8+vh9PhyesjQtMUeatkMUW6kxUpBijaiIrnC+uWB2N8xJ0xnwcU/MsmYqQ0IhD41vSVEQUuVgt6YWYG8uA7pEjOkwC10FPbEq23ul8UmSbEIfUEeZyH6+qSSRLIjBcOfkHvvba5AFlaGxhnXTY/sTrq6eo1pL8TNLI1Epce0Cv//TH9TOgtKsrMYliQgBnyWgMcUzzAGhNFY2NEqwDa4WhFOgtceIpsOqyIm2vP/iklAKCk0uhv7oVX7w8iWlXHG5i7SmobWyIhOLqFPrzlJCIGVFEJLXHr7K1cVLvJ/QWtXbrFKEkNCy4gRdqQcTYw+oUwHfeucBkxvZuZZxdPhSKR8xOi62L0ghs+hsJdAME8s7a6zVXN04pBS4eSan+rsoKVGkp+0aUkzkkBBRUg6XLqM1LkRI9QWb7IQuBqnqxCOkhJ89gnoAWHQtb771izx+9iP8vGfczZznS4RUbP1ICvX79OVXT2hL5IfjlnBY01ulMVKy9xMiZRplqzhNdVBGSBmpJI3SvHrvAX/5V3+V3/jVb3K2XPHRsyt+/v4HPHr0KS/Pn5JjFb2QJW4ORBFBGlSSaC0QomFKHoHk7v176Kbn/PKSOM+sj3tyTOw3IyXD0fqYYia65YJ7i5ZX7p3xtXdf5c5xz7jdcHwc2d+s+Pj5zSEuJSix6s2lUti+4+y44/0X50zJs1SWX3/zhGVjeXmzY9Ed8+7DM37w2Q1PbncIY3HjiFEGlyVKJ7qup5OCP/qD3+XlzTNymuuGT0n2ux0nZ/f41je+yeePrjHWoI3glfsPGT9zmHXHOG2qfTDA9z76jOVizYPjEzqpePP+6/z40YeMYWDO0AnFm2dHLNZnvP3uFxk2G7736WM+ejJTokerBqMFeb5BFI3UHbfjjhQLFI1uGmScScFxefGEVdOxOlpzMd6yD0NleStF0SCzQs4zbjqo6qVFagh+QsuCUQppNOM80NgF7XKNmydCDLg5IfsODTRCYxrL3mdKknWCnGskoRJHPNLo+lLSBts17MaZOUSskljg7tGS283IUHLtmyAoyrAPDpkkou0YQ+B3fvyUKQz4AFpJ2q7htLvD5vYGlwPqUKATukVIWDagm8ywmZAAKSFL3QCJfLCpHv6cYXZ4bF2vK0VKESkrQWW5WJFcQTWJnCNRVb58oSBSoVMWR+W5h5DRukr3oq8o4HEaWfb1JehzxBZNlJXsIpH4HGgwpBgRKdI0BmgrtaQc5F4ikj2oVA/JSIULhbZVGG04PmkYRyqWURoaa9DWsPdjpT1ZQ5GaJBTaNMgc2O725JLpOos2um5XlUC3PfeP7jHvLriYx4pvTZlUKrHFWIP0M1IKpKxsd3Uwhtaybp0wRg8pR1rb0PYdUktEioSSiKPDGcM81K2UpG5UpFLVupmhuEBjK6748vIZP1KZb//iO/zCF9/g86cX/NYffJ/n19foKKqFs2vqBD4ksqgxiUXX4DIMs6OxTX2Xa8E4bOmKICERStJYy6v3Vpwte15eDZjVmrffeZt3XnuVcfTsUuby6hoX9xXrqiV91wMGYyUqRHKrEBJkDKRMxbGmgnOOw5u5dpxKISZJ0YIYI4rKbjdCoBeWmCxl2h7kYJYxVZKO1Utuhz3jONeulhAYqYG6/Zci8O7bb7C7ctzud3zy/COiD9WZoeqGoFMNLjrItU9TYmbKc730WE0qBREEkiqvEqLHz7cQAspa/v5vfpVnl3v+5fc/Qlm4c7ZmmsDtBuZScHmkbQR3Tu9xe3vLMNxC8Rit0cXgUt32ClQ9+BZJKgpjmhr9yImFMbiciD7jWkFG0LYNbnIECVYrlkJzvp9pGo2RgnfvL3lyvaVf96yWR1xcnFefRIlMjaBdLIi7Lc5PqKJQ1mKlJEePloHr8ZqSQYjCxdVzvJ8JoUZdL6+v0NZy7/iE7bhjmAYQmZwjlJoQsIfkS2tMNZnHQM7ViVH1fqICAbRmnB3WNshS0cFLo4gIbKNwPjLPNSroXKbve7KcUQmUAiky+2nCikr6Cb4gTSFTBXKNLMRcf8dog8pVtvkX8SP/vP9HlSv3/cH6iL//7V/iC6++Qb8wFRUWE/uba5zz9TZGJoVq/Bv9DDrTKnjx5CVuToTgOV4vODk6QQuDbSwpVBa9EhatNW/cew1je4rtSQdjHwVU12KtpXiBEKpiBzU0SiNK/SAFP1eTXSlEKRidJ86pHopMQ3KJTi0QuUYptGlBCqYw8ODuEQ8ePqBXGpUzSuhagJUCmEkyk6SkJIn2CissEs3CGhrVMbtAjAHhEtE5kpD4FCkhIoTEpUTKjhQEyguEiGQJcR4Ok08oGtqiDxm5ACnSGF2RUflQcs0JXyrbNeZIUgYfBVr2HJ+8SpSJ69sXFBXI04YQHX/w/JKXk6NtGrTpmVNmMzouhz0+ZLSoL1RjJJiGUgQxVByliwWjDFIrXIxcbzfc7Pdc346c73aklJBCoaTG54ln15/y+XbLk42DFNjuNoyDp2sWdT2nNZPzCKPRqk5NXj59gtEWpWqZyaquxnZyIKdIyvMB5SchgV00ZKm4HgLOF17e3DAD9+6/zte++pvcOXuVhydnnB0dEUMihkhOhe3uluubK3KqL/9UIkpKtFas1gsKkcSMDxOro1d4+MoX6FqNamDImmDrRCGjKRlO7q3x08xqdYc5+EMWlZob9Y5PPvwOV5cXSGHq5zgnfvkb3+IXv/Er9IuGdml5//ELPr7agla0ViElrI/P+OoXvk2rKmMcmTHa1vhLu0Y2itXRmvW65xe//nW+9dVv0ug1H35+zr/8vd/jd7//XR6/vETYglQKaSVOJKQxqKIg1GLvmycNf+m1YzphaYwhTJ7nT57W/LVUhHkkTVPdcoTCsL9kcntsnrlz94zXHp7w+l3NV15bsFwaPpk1L4Oma9oau5ECozUxUE2BLuCc4OU2k5Pkr757n//Rtx/yH33tDhuXOe3XvHVnyZ3jlrvLJVYppK2HOpEzi2aJCInVIjPvfsB3v/OPSdHx5oMHdLZBqMD1xUv+8Ic/49OPPmR//ZLkIx9+/hnEQHKO4GZIERcDL69u+PjzT/nw0YcM8547qzV31sesmiVaCVS/5NPryB9/+Ck//P5P+MqdMx6uVtgCCkWjGr759mv8ja+/zZff+gLEVAtj2iAIaBF445XXKiYyC7Zu5vnumkS109ZuQznYGw1t0+HwRFGFXEpBo1TNyRaJUYbWGPquxRiDFmCkwGpDdjOkRCyZ3Thy7+5DChqVSj14UwvjUNfEymgEpVIlSqkl2hKJuufJ7TVTmhCi0JoGJWt5XWQN1I5Bq1R1eeSGu0f3OFmd0GpFv1zjRUZbS8QyhcxyuUYbQ7dY8/bD1w+fdUvJglAkOdaiYyjVxmybBkzBpz0+BeackbIy349WR3z1a38b3fc4NxNCRgpZTduxloUXRy1tq8m6IK2kbTrapuW1V7+ANQtC9mz3txSq5TFRUE1LEdC0VXqTqc/DnAXeFU5O36AUxeCqoVopQzjID6XVGNvxzptfIfjM0dEJv/ztX6Ux1VNhtEIUwfHyuF6kY2IcJqBQSsCNUy38agVSkQR1wo9HGMHN9pJx+pR/+Le/xr2jI5RUCGHom47RTczTVPHDsiC1BgE+B7zzjPOAIGNVS2uaKmmS8Evf+ib/4d/+a7z51mtIVaOMfb8gZShGYY1Fm1Iz+CWBKChVp5g+1F7O8/Mr/viHH/BH773PzWZPv1izWHTELOg6xfrkhP08ILWgNbpabnNkNzpOzh5WEpYu6BCxuRBKpsjCeqF47WzN/+TvfJv/2X/+7/PO23c5OX3IO6++ydtvvsLJ2Yq1sRghaKi9OpMhx1ARt2GuBU/d8LV33+DBvbusj9ZIUygxVFOwtGhRLa9JSkRjQVbJj251PXQhcVMhRo+wBlEKLmYSdVhXnKeEjBL10iF0Q0kRRd2gFaP5o+99j67rSDnWC8thUm+EYr08wZd0ENwBqV7KunaJ1obeNiy7JcrUPpfVLU/P38PIiVa2KKH45lfu89YbJygFb54dc6SX7KYBT6JXqfYavGK3u2X0WyQRKQpSwm4akClTtKZfN5wsOhZNQ4kTPu5r1yjFmlmnSvGmYazNuZLppKjv5xDYjq7SsWRmM0988PwRT6+e1SiPkEgq8ETalvX6LjkWck5IJCiLaZb4mEEW5lAq6bBtQUq222ucc4iYaaRBWk3Ac319zTjMB2x5i5aSVmsaUQgxstAtpjHYzmLaBoQ8iLbAZcdm2pJTwEqFyBWjroTCBU8pNQlQUsYqi20sfWsxsnZJXIps54nNtDtc4iVZQMmR+6tj7q/vYMQRKUkM0Ns6BA1xqrGlv4CfP/ck/rQ7I5pMlvWhNQ573BS5t16zXFti0BRWuGkixFxnGUJghOXu0REPl0vef/wELyHJxGYYMLZFYnHeI3VGlUgsBecDj18+rqpm20ARNMogckamQrs+hTKwnW4qWk1I+mWPRJOyJxWBPZBusq9yjil6SinopmPZNHzpS1/n/fd/RGgSLge2zvHh5085PrnLzkUMHUoUju68gu6P2V9+jJgsWtaMphCCTQi04QZpLMPsSHGgiELXFaRtWWhBEZHT5Zrb3YzPCZN1ZZAKwyA82QUW1tA3hTlRzX0ykhOHHGiuGWbh6aXCCck0OZqu4XR1l07X8sf+cMspOeLCzO1+oNdNPfAiaqQGgZA10+h9QAmBMEAqfP1rv4ob91xe1qlaDFRNdRjQSuJDwdqGGBxnJ/e4v1iz9zuud1teDJ5cBColhikRUkBaTc65ih4ODOq+O+Hbv/SbfO9Pf5vZQ6bSNortaUtCMHO72dBoUw810SEUf1b27JTCiYxIBW0XxCmidcejjSOMA72V9MuWX/zGX+Y//I/+c/73//X/gp+89y9x81DNcSHQmAY/e+yiRcyJ6ENl3hrQxuDnHUYkmMFIQ8pUIoXWaLXgzVff4tn5U4aU6EzAl8ywn/CH0mLXGISFnA4FJgp7v6sXMiGZ8eR54GK7P2DYIAaJbjSbWCgxk53HLI/YucCHH75PDAmjeo5WKzbjHk0ihYk5OEQnePP1B6yWpzx+dsnPPn/BR599yg9+9CMuL68oObDszriZLjHFYEqE5Ll7cor3iTDt+fdev0um8B2dkaLBmAalJxrdohvN9c0NrbJoVVGtPno6BSIUjo9POT1+yMlC0nUQSmbUlpdDYuenKiiLkURBm5ZcMnfvvoKgYFpPmne8/+KCf/WpxSjD7c5zvh344NlLpiR4++0v83L/IWRFLAlBYpodMSW+994nHJ/0pBIgF4TKhBjQcgFyz/biMTkUjLKUFGrxSUfyHLGqQVuNO6w7tTXshgGXd3znox+yHx3SVKb1fhiYxMzk9rznHQud+Mmzc5S0rBqNC56LrSNNkqf7SBCREgtdb5iKQyrJarHk+cUFwU1V+uECSDjqe/ZzDUWNcSYnjzINShik0DRGMMyubgCLIEuY3MCitWx3m2pFLIVIQFUkSpXQjA4tDZvNBSFUc7CWllSqsEwoTRETr56eMCXP9fYQNzMK7zIh75ERYoG27fFR4J2n6VqKqJeqVBK26bgdxirSKYJCw8XwgsvdHkvCz5FyOMRKZYnDwNMXF9w2IyVmnMjEWDcrWhli8SijMKkQxirrkZRK8RG5DlucJyfFy4sneO+ZQ6wZc9sRckQaSQiem92mEjNUXasXreuEbb3m9P6SH33/mqIEtjPkGOrm8RCHEVphD4MgbU19zxTJfvcYqzPH6x6fI3HOqJxQjaXTNeO+29yysMf4vedf/NN/xm4eaPSCvltQUqRtj9C7HUXXUuM8DxV9mUEtluihdiGMgjkFtG6Y53o4erHd84//9FOubwdyVJQU2aVI2ywpVPrV/dNX2Ox2XLtLlFR1Ek8FBoSUkUJQ4ZKCq9trVqsVN7e1ZJ1F5vL6kpQz4oCCbfSSvjdstrcYyWEDqEha4BNYEjfbHX/8k88Y9kO13pbqkXnt7l0+evwE22pyimihSSrjfULkidubirssodReVWORRYJMpKC42I+82Oz4+Pk5w27ANRNXt7fYp4InVzfc7DcsVz3ezyx1/ftywWEai7Id5MA8znz6+Tnr9Qmb/YYQMiF4tLK0rcW7QEJWMVSKaNNhLcxuRBlJyDMGRUISSt3+huAJCUpIZDJWthhlgVy3NkqRiiTFBFqx20/84P0f4Z2j1R2eBGVGFOogLyeylIiSKUrg4oynoJRknAdUFpi2hRzJfuLO6Ql/6zd/mX/yL7/D89sN/8v/079izhYnCqI740uvvslmmHlyc0kIDgdolXE3A8vFEaOf0cqCMEhZTc1SKI76nm+/+xoTij/9+UfshgGDRSjJOM/4VOETkkzTKt5953VevNwQzjf4mFBaICsXmjkVrrczuQiOe3j+6FNMZzk7u4+WDfvdxeEiVKkxVgkWq7s0pmVtAs/Orwi5MLu5biKo/YZSBNpoilQcLZdcjy8rWU6DFKFuFdIh6iMNWQjitK+H6wMmtREKoasVOswJgUFKwRwDi6alRTOnmZAzMkPbNsyzZ7HqyCUzzyOqaBC1sJpEpEWzaNeMYUsxkuWqJ0ZYHN3hydOfUCJ88c2v8MmLR0zjLe7Pp2j6//nz55Y9/eUvfIXZKD5/fsnsdxjdoE3D/RZOTxp+/MkVx+uH7IcripUstWI3jUiz5mx9wvX2GSL/m8OkJKMR0lCSxwdHY0EkScoJR8JIQwihmt+kojsY/6LPBKEwskGKxDDsODu9xze+8g2+++Pvkl1ASUGzWDKNG/rGglYMwSPngmgty6aFIjhtDL2SPJsnQrGYRvPWwzeZ5h23F9coo/jCt/49/sbf+Ad8/w/+n3z3T/8p4zRV0cnk0VrQSMFunJFCo5RlchuMliRpWWnY+kDOmZgcUin8mGi15M7913lx85S+W7G/2dAbjc+hXpiWLYvjBY+fX9QGdIw0RtU4k24oztOvjrHdCXIeee3uGZ/fXHF9e00O7vDAAUQiS0MOHikOzW1ZBUCqRKzu63RFwf2H7/L6q+/y6Wc/4OXlOWmaEUbiXCSLSqfpu5ZYMvfWJ/zG177J4+cv+JMPf460mhI8QhV8LDSNRUtVD6imXryEhzF6bNcjSl0lilJJCTkr+lbjU8D5WK2XurbbU/Q1N6o1CsXsZ0QKKKVrXp4IWmJ0hyoZTMObb3yDX/yFv8kPf/RbPPrkxxQy8zTWKaKSuBAgJnrbooRmiPu6GlQtgx9odGWpSzLroxNCFORYUVVv3n/Iadfy3qMXuLzBp4wQlpwSjbbYTtHbFdMwMUwjUlWMV6sMLmeyMiQ30rU93aHYhoDf+NVv8fGjlzx+/KjSZpSpfzdkjDIUIVFGE73jdL1mmCdGN7Fq1pwdr3l4/w7O17Lg6Au+RHa3FxwtVqSYOL+5oIhaKDeNxTSrgzzLcacruLlw5RNFGhZ9T10kStYnJ7x48gTbLgnOc//BGdM44ILHIPjv/M2/zt/6K7/CW0cTjZX89NElHz695l/83g/54MMnZGmY/B4taikwSli1C3xK9YEcK2O/UdDoljkWzhYt9x7c46effEJvW6YwMrmINppVv+R6t6GUjMESU6ybCWtrsy1m7ix7/tNffhuXM//n73zIvgTINQZndBXBHK/v8KUvfJkfvvd94jySZSZFQWsVIYKWCpFBNzA5R0GgdY8ic//khNt5Ik6eX37tIe+9eM5mdihR6JojdmGLjFVG5URCNi1lrpN1ggRmFqarxtqUiCS0bJndgD7IzpTSrNZn7Hc3lJxAalrVcHZyl83tFeM0Y3rDPI6sju8wDQMpzyAqOSSXUi82zYJ7997i/NnH1QWQPApF0ZK+M/zC177Bj3/+c8Yp4d2MoMCh4NzaHm0NjYTZgy9U3ndMzNlhS64vxlLZ0SkGsmjqP6Mk+k6zG12NMpTamyEmhEq8+9obPH95RQgziIRUtm4JUqHIBlmq2mgOM0WCUBKZCsoYcvZMLmJMi481Z60OIi9EoQhdY2oKhMjElOtFHYuUmoW1rE9WPD9/QT6QQXLO5Fy4d/qQm5vndfAhEwbDq/fvguy5ujzH55mTxZJ/8Ne/xD/93sd8+OK6RoBEi0WzDxNIgRW6ssOsYvSBFDJSweL4Hg/uvsPFxafkDAudubi5QUjL22druk7ywZNL+m6Nx+OmCedHjJQs+p4vv/0Gg098+vgFbh5qDNUlOttVEkf2vPOFL+HdzPmTJ/iQ8FS0oJKQvETbxOwCRh8mJEXXwjC17F2EQUuNcxNL1aBthw9bfPQgJWRBPqAFMwKzOMaIgiKxnybaRuNiQIRC12u2+xFRFIvOcu/kjM9ePoMiaJuWLCAGh7UtTXOHEDfknNlubmhMw2rR0ZhEu2iZdhBay9e+9E1WzYrrzcDV7TOuLl+yHwa09JSi0AfregipZrR1phToTEMCkgv4FJG64kIX/QlCKHa7a6Bw7+FrJDcwzCPFJYoEF2Kd1ipdD36IGiEWUGJAimrF/YW33uTnjz5l71M9kJd6ST1IdiCBlBqhQKpCjhKpdH0nqbq1zKLQGENOgmncH+AREiMMugAyE2WhNZa9m0g5s+hblv1dbm6uKSJjZa6lypzxwVO/hIKSA0XWDbtRkra15ADarFidrPmrX32F/+J/+Pf44NE5/6v/6v/Kzz47x9oWQUYVzRRmcvHEWOisQkmL0j0JzzDuaqcjJLQ01Uqv6yE9hokxVh+KjJKj7giXBrzzOD/VzhuaxfKUkmZ6LdmPMy4XpLWoUkgl1/9+Cr1uyVpW9Pc4oXTD6AY626CMoviMaDTBJyj1TDj6BELSqvr3J0XBqpYYZ4yy+JjRZKYcsVIeqEIZqTWyVEu8Vi2nx3dJ2XPcKppW8Pz8CtmskSkDmsFtCSnWiBa6wlPKjMLwjde+ypPNc642l2yHXSWW/Vt+/kJlT68v4Q8fvUQJkEKQc8TN8GxKXE6Fog07f0soDjkLYrOomKU08+L6Ga+/8irj7ZbL7TWNNiTlEAdD2dnitMYExpHtvENkiZEtTWMQsjCnjPeQMlAiJQW65Ypx3tJ1hlQS3//pjyB5ll3PzTAx7a7QRdI2DdM00xtDkZLWHjJuWvC3funX+ej5E5599hEiK4xYcn67p+SA7he0KMbbgWdPnjPMe2Tbk/d7Yir0XcNqveb8/EmNAJmCR3C8OmXYj0x+JFM3F1lbBBEpYNEWRKnq5UY0rNdnpODxbkMsmmVj+dIbDxlmz+chEoVg1d8n+1ugThSjzAx7z377mKYp0C9ptxIdoe3X3A43pFIoChohsZ0me1g0C273W5CaKRaSCnWqEiMvX3zM5YvPyVqwOlqwKx7nfM1xal0LpKnmRq+vbvknf/x7ZEA0lkYoXHFAQeu6eo6pegGyz3Rtx2q9Rs2butYVhrN770AqDPsbEBEXPDkmcoo02lSurpSVnW4MwseaLzOVFuFzolOS5foB++mGtmvQsmHcD3zw3p/wyQffp+ks3nnWR3eR0pD8HucnjNAkrSpHXORapgIKVfghkWiZELJDopCy4OJESIUXL19w3XcIBQRolcHHhC6JttHMsyeHASUVWWSErJeNKAWyYkbQbUtjFxRVeP3eA9w4c//OKzx/cU1jLGhJSpE4B6zVqK6p6LNpQonMOFR9urQW2oadHxg/c4QQ+PYX32JhLD8+v0X0D3l5/Tm21TS2RedMKp5G6Prnag3zLNjMpaJCTX2hTPNIZyTDOLHd77EU5v0e1fbcbGeS8ygLutFcXDzns88+JN47QUn47NklH3z4GcVPrBrNPsRKqEoRoaoNdu925Aya6nVQUjJ7WK0UY9ySBsft5w5le7beEQ8l2kY3qAP9oteWVb/gcrvF2p4iAiXXQ4gWiddOW7ZjxRDapKuFUEJnW7IUNEIibKm/75gQuhAp5AO//cG9d0nFc3n1CCkkTbugJFAlc+/4VbrNFVdlR+pP+Mbbd/j+4w+Z5h0+OmQUSCEJqXDveIEWgqfbEalr2bIzin/w6+/QtEd857OB63nL45fndG2PiwNEScoQXaHTkk4fsbzzCkbAf/bf/4f87r/+bb7z/d/D5UMMjCrM2XrFEDXeJYSIdXMSC263Y9la9uNYD/a64KNDT/CdP/0hzrs6hACCSCyaDiMadj5jhSCogrErOlMlOMv1CWV7RY6OLDMPXnlIThPbF5fsxqliLbVh8nVg0yhFSLVkWCQgJI+ePQY6oqyywJByvfTnQsljjYo0iiQlBkEOiaQEIcaa4W800cfDYKLm2CmSkqsYR+RaStNWE2dXD0IlIIVgCDPT5YwPAa1rzyjHGkERQhBLje1IoUBL/vavfIvX7t7jv/wnv8PjF0+Zxonvf/CU2xtHmQXh4KhwcajGYCHJVJRwiJY7Z/e5uriqGNBxy6cffhdkYdH1fP2dr/IHux3d4g7vvnrGl+7Do4trttOWJGvny5oFOUzMMfDOg567d475P7x4hvf1MK2BXALBV87+z3/2HkKBKNUQ2giDzwGtJKVkyLJ6BhKEmDBNg8iqTi9jZaqfnhzz4mqgCMkYJ2QRFUV8oMA0ukZDtSyoMOPSVLtiwlZLtzWoLAgRlKr5+SF5zq+vaVXL7EcmP7FeLIguE91MjleEONStrl0QKeynwDAnzJTqdnq/56P4U+6evsLNpmbh3bSj5IgWgvWi4f7dI3abgavtnmFOuPRvpriVmlSErNEJIdHK8LWv/SqvvfkO/+qf/2NeXnzO5cXL6l2IEWE6Up6ASkETsqKE/eAxViNzpF80uASz81ztZk66B+zTC5SsSM4sa5egMwYpNS46Wm2JuV46c8poKUglk0JFnKqmp7iZ1lbSVJHVPltQ5BiQWjBO1XZfWetwdfmMGCNC2tpFEQ5pZSWtuJmiFW1j8C5gqJulMEek7dFtR3Iznzw/508/+Jzb3YiPglZZ3OxQQNP3iOwRQdVzWSjk5FAyI2VCFNC2paQJbSRt27KfRqQuxLlGKqWohvoLN9E2hpITtmvJsdBqhVKBVAT7yVNERgrqgCBnWq2JosZUp7lKQ1PJKCWIYcboGonTImM7yxQCWpeKgY4JTUKY2ttJKZFSIVM3KzE7CpKsTN10pwBaIeVhIxZCBYWUwDRvOb3zKorEvc7DyYqtOqJvj9jsLnHzOULA6aLlm1/5Gr/7pz8GFFP2/ODTH3O2PK1D1lI/lf///vy5J/Fv3nuF23GHVZpQIElJ9h4jVM0hFocxHYOfUKKyRo2q+TApDUZI8A5hC++++hbbaeTq6obXH7zFq6+8ybOXj/n4s48QJbNerIki4ubAmAZ8ijTCsFhItFzRm56rcUMIQ4WxCUVOmaO22un2SWJkhpwwWiJRWN1UfFOJLNolS9OwXi/w0bOZHI1dsLRHZNPRa4ktgSQkxRiUbthuzhnGPSGMCF0oRfPqvfs8e3ZBdo4RT8qe1rQU54gUioQYM41skCoRcgItSL7i0oSuhICmKIZxRBhDKQWlCjLUVjpIRNuyUgsaI7hxO0RWhOwwSlYZUavYDoHetAQ30jQarQ1Xw5YToxhyRKgOITTe79B6DaKSZMJmoMhM0zR85f5DihS8/+QJzleaeimgZY3SECOhCIw1fPn1V3h6saNZdPhh5HbaklLt5Jdcv6xmsSD7WC8SWrIftsi2lhvnKdSMrTEQwfmpSj3IBGrZ2GpN1bUI8lTJGspYTEp4EQBFI5cHtXFk1RyhhGQbHNl7lCgIVR0HKSWkkkzzgCp1MvebX/81Nrs9P/7sA5KKxOh59fSMe3bBt+6u+Z3LzOX1S4Z5z7KVuKxpmzXrTpLyzPV2g0iK2Xtao+sqX1kKB05slrRdy/2zUx49fUqOgZgzjVZI26Ok5P7xGS8vn5GFwKfK8i4p0SiLj5HGWs5Oa4Z2nPegFFoZXBhp7Qlar5j8S9LgWLYtD+89YBx2PNvekNAk79BG8Mbd+zy9uAYZ6FSLkZLcGs4Wxwy3G67zjHMZmQvaaN597R0evXiKm/eUFMhFHn7/spKLUmHRtbx2/y7f+PJr3Dk+YfKOFy8vEbc3uKj43pNzpgBJQEoDukChNo1CzihVGN3MsmsOvReFtpnoZ0qE1foY70ZCiRyfLNjd+rqGL4LG1klzQVRqBAmrNbbpGOYNS6OQUXEz102ONhBd4Cvvfo1Ft+BH732fuURyzEjZkIujlEMtUsDp8T1EUuz3F/hY42CERN8ajlZHiCkxCfj2l3+BzXDNDz/5Gbnk2vOJiu24w+XIt964z9Vuz+giN9sNjsyi6fjVt+4xO8+1W/Ly9orF0Rmvvv4O3//+71XUnSwcr08Yd3sCAms1r9x9la9/89v87Od/ypPHnxPRrNoVJdzwD//qN/iDD5/j9Zqff/JxRR5KQatMnRqqBKlKsETKRKWRotohSQVhGhohsMuO7W7iZLXCxUqNaFf3MNpgGoMqhZPFmqcvnzKMtyQCX337TX7tF97in/32v+bRswtOFgtKjtzsR9Jhu4hQ5BArX9poonN0TYvLgePFPUKccfNIEZoQ95AjKdcIjlICHyMiJ+7cu4eUhsvrC0hVCBQPlIySISUQTX3mk6qoJeaElBpKJBWBEtQNWw6Mk4ccMLpafEmlxraEREsN1vCf/PV/j9dP7/Pb3/kTtttbnly/IGeDFAIfKmELVSN/xEwWkpO+rbEvUTsNYY60xhBjBlUoIpNi4rg7JimNbVYsjGCcrhgPXHbvPEVAK/ta1lWZv/2rX0RZ+K0//pBxjpSDYVToOqnNopBJpJIxQqKkpO0Uw34iBkEu1T6pEZjGEENFfhYJwdeN7xzTwR4bOFmsSUi2+00t+RvDyeIYXQJbN0JSvPra25xfPKGkSIiCVCZaa5ncTGs1w+wQSIypjplW1dlhkgLbNBhlGYYJ3fSkOCKkgpLx3iF1g5aaREKkhEBy1C3omwWXmxvOTu8yTdtKLSoTf/fX3uV//J/8Ff71Dz/lf/uPvsPmemKQBSMESkqG0aF1g1X1kBlzpF2sUUqxubjExQGFOMQKc9009A3BJ45Ojrm9uSF6R6Fub5bG1DJzlAQ3s2wtr732Lfr1mp+//4dIVRhGX22/VD9DqTTF2klpNEo0xOjJJWKom0IEKASNadnOQyXcpVKRyVQJVVRVWBhSpdEQEyVmAmCbBc7Xs4rRLSIHfKj+m7aG/kmqigR121WTqxH0bc/rD+4wjYFH5xe89uqXCG7k88cfkyl0RiFKwZqWpbG83G/RUmClYu8doYDVgnKgtHkfKvYXSVGqPgtUpjGKHC2pOBZNi2l6xmFHQeFTJPgJkRPGaopWlKKQqT7jfUk459C6npckhaZpkdLgQ0SbQsgZfEFrQTjIu5WWqFLfwQWBTKJuJyRVnCYPWXjvaw/IGmaXDuCHehFTEkDx6sO3eXhm+Y9/9R6Prm/5v/3ep1xdjRWnGSIxBE6Pzzg7ecDHn39ApxtccVjZ8Or6jEebC3bDbY03/lt+/kIn8VJIutYSsyR6X9nizYrkRwrV5GZsTxQZmSP7OaIFLOwCiiSrwhxGdJY4JWhsx2IRefPtt/nws/d5ef6cOydnTPOe1x+csuh7vv/h+yzkMQ/P1tzeviRH8DjGcQ8HlbeSAlJGFcl2HNGtojOFMBVEkcSUDqXIRM6J1vQUo7mZ5lossJZ2dY/jVYMWPe3yDmdrSx8jN3Fmt5/IKfPGa1/l55++V5mxbkKryPnT5zXfKjxpHGm7HiEFqjfIGJlDRFpVJTsFkm2RMdI0khA9YT4UG0yLspUZHVFshw0iCRa9QSIJaWafYDP4SuNRgRI8Y0iAJcyB9fKY09MHXF0+IcSJxbLFeMXgMiEnlk1GakXXHdHqhq3bkw5kgxLrlj+oJdfXL8nJkMpIylW+oKwmF4kvmpwCR63h/vExWpzx6PpJNZEKQZKillBLoaiMjY7XT+7yd37xN/lvv/NbjBraRiGzpukkZ33PgwcP8abnj374XaIPVZ6SMjEpkAVZquY7N5lExoex5uhsXQNmVTmtfkyM8w6lDau+ZZ9CvaWLQoyOaZ7QjSaGQBCgS+Fyc8HoEs2iw80BNChjOd9ueU8FrjcBYwRN0rVQIy1ffPs3mManfPzZDym6EmuEKrRtQ5gnYvA0WpFTpGRFchMvnz8leoe2Fkup6D03I3PkWRhq30AqrBDk0hKKw7mZpu3QSmAzDKnQrk/woyPFiZIEi1XHzfU5HDKNmzCxf/G85oelRoRU87ytZbnsWN4aZmHoFkuOe8XRnSOOjWU40YiLPdvtzG7ac9ouSCFAmA5sXlP547Lq5VtlGF1gGAeevahbg9XikugnXt5uiH7CyIbRV4OiwLDuF1xvb6nL6Iwp1UyrTYfLAU3l6PpENb+KzH6z5fSoZTsLzs+HSiwokKXCU3sT947ucru/oaBpmhWb7QUpZvamoDR1ulUi0WfW/QpjLKZRRFElaVLUSJfEkkqgt0uCHGssMAqUqVa/lGqf4mtnR3ztzRN+9Oyaz29m/vDHf0QUtTStpObi6opSCkIWhFT89Nk5JRVePVowqY6YZ+ac+M6nL1ElEdM5PheOjxqunn9KIwtzLqjGsB23FFFAKZRIXF495Z/980/JVGxuSZF9qvi9/+YPfkaRlvurFUZqphyQUhNjVYz/mdhOG3KO6BIpArp2XcvkOWCUZk6FVWfw0dO0a0xzwtH6jNXxQ5bdAlsGNsMNou/JbqQUyWdPn/Lq/RNeff0dzmfF5e0lNk/0C8PJ6oTnVzt6u8JPE2PcE+ZE3zT42RHJBDuSZQEZyCljjSYUiXYVRzmnfMguO1555RVE0ly+PEdIhQ/1EiK1QErgEAeyWjKFgEAjioADISwfivvDsEUKCS6ScoZSV/JJgnCBdmH5wmsP+Pz8hn/5B9+lEZU05HKsQIEi6Nr/b3t/1mtblp7pYc9o55yr2c3Zp48TXUZGNuySzCJFVUFFVqkDZKMEWb7xH/GF/4R1pSsBsgwLdgluBElQlSiXSiTFJpmZZDKbyIz+NHHO2Wd3q19zztH7YqyifWVQKKJsAvu7CkSPtfdaa8zxve/z1PK/zBlZFDlmuklLLlVOE0om5YgqNY8+xkLJGaMs2YVaVnVbRDbo/YI4neF9rFnrGA9iunIwGzvymPjR0wX73ZbBUY3puRABqSXJO4rRTNqG6GuMyIeRrpkiiuJ0rhiiIoTCkzvHuJw4v1pWD0YRdNby8M4Zr64X5JRIKbHpN0htUErWA5wx3D07o5kc0z/9Kdtx4NX5l2gr0QJ2/UA3k8hisa1iGIdDnjkzkQaMYu9HbGsQWTKOI1InpBQ8vPs2i8UrfNyTkjjIByOTyQTZNJRU2G833IxblsOWUgoXyysQEWUtU9MxxoSPdWsr9JSju3d4/+EZn3/2MXHYM+ksPgSSUGyHHZOJZbO5pMSMFQ226WgPt8xSQqQQsYQysF9vkUXy6Ow9RKt49epLRnItQxrJpDshDp7nV1/SrBSKQkNhSFXulESlialSyKmKMImZIj2qk8RdJov6vRdcwLSW7bCrFz9FoaUkxUwRhVCqrMyP4wFb7Q7owlqIrmKzQImCEHaVRNfODn6ckbyPICSqKGIfSQQQDXK/4bMXgeIiPkbOju/jYs/566eMweNDPTB88NY9/rVvvcf/7Q/+knEYiJOEEZmUMkRNThXT2nQdyceKks4RKevDsYjw8O5dXl2/Zhj27HZ7UBotE8nXLkw30dUt4TxZaqSR1UirNUoJMpGTo3uUHBhjwI8jgYxRLVYKenpKUOQSEaIhF0lyAaElQhu0SDVqlGtnpJu3PDp5yPmbC1ysZKCuM4y9x4iEUJrRJVqdWV1+Rdwb/vPVOZuc2TmHT0P9LBINRUhk1ricMFrhcsRYS9GKyzAymc3ZDltI8a97BP+XP8Sv9j135hO0hlVJ+FSQQpCUJRdHTh1TPWe9XtDYBmsECiilHq5mXYuRgqwSnz7/gjvtEf124E//7I+I2deGtFXcnRha7fnpl1+xHz1SBvQgcbkCFoWiFryot9mlSFqtaDvLZuzpXY+RCitNRTvmQqsbEAJpDD5l9N4js2O9C5zeu8PJdIZpBGdHM548esSje4/pZOTV5oJnr5ZcXy0Z4oi0ht3KYaVGekfUgY5YqRKtJoYRa1u0EQxDolO6yjkAmSMzO8VlVwk1sdDaKTE4gg9ICdZoxnHPkTLM2inYwto75u0Jd+anPHv9HFnql1wu09pypja53bDn6vI5PnsaqxjdSCcbgopEAUZOeOudX+HNm+cI9vhxqMVZ+y9ykYJXNxek5Cgi0TUNY/wXxkXwZJTIoDS7MfDDT7+k1VOWy8sq/xD1genu5Jht9ighSDFx0+/4fHmFJ3Hn+B7ffu8BKXp2yy2/8/X32CjL66w5aifssiSWgD6gFV30aG0QqebCOcRpUsz4EFC5oESLTuWQU6xr9f12jxBgmwmu35NKXaGGeOCjK0UWhY9ePMVoWW8JUy3MvHxzg9WG9aLghwgqI6RAWk2MnpdvPqI9fHmTKz2kiCp+KUXQ6gbbaEIMRFF//8eY0E1TZR7eIRuLFPmgPAetCz7HytuPCSlrRhipGaPnztEddmGJFqaW6Wgp0rO4uqhrPykOwolSZRmNxXYWHzzJJUoc+fTpwKntOLpzl+P5nON54Td/+V0+uH+Xry6vkB+95IvX16AyScLl7oqsEtI2+JLRJSCjRjVVxtJazaNHZ3hX+OrNEm1WKCEZ4kApCpUKzg9MWstJO+NyWzc1GYcQQKrRInUw+6WQEVoDkZAhAVoJLlZbKBKKRgiNsKCEooSEFnC+uEApiVGKcRgoRWBsPcz5ECipEnWarmV+csz15pLPXwwUpblz+pBOTVhefkGgVNtlSSSfD3ZVhW0rg/DxvbeRsefX3p7y2+/O+fmbJev9nqZr2O8HOuoq9xAHp5Cx6oDVK5EXy4JWmsnkGDcGchwqvraZImXhZnXD6K6JKTGdNoQQyTGiRHUkDLGaExUCUQRGSEyjCDnhxkAwhZR7Bh9JMlXpXZYooZEyMBxisblokopwYMvff/AuDx484ec/+cMa64ullgKFRmQ46joePnzAOx98lyd33yP5NV+8/BjH55QI29VX+BD5Z3/yF7RFMPolUz2tkbpSuHdyn9PZEz5//ZyoMzM7Zbvr2Q4jjRFYofD9mpBBS0Euvm4gi6KxLcZoNsOKnBUns/s8++RzhuDQVuJ9rF++XVspWkDOHlta4uDolCUcSDzIWjKUB/57LokYMs1UkV39Us9+QCjQuj50PrhzhAyRt+7PcC7zl1+8ZtN7ZIK27bh78pCv3rxAGEkJkYlpEalGttZhx8nJHTarFS44tFaczCa4MVCUpY8ZYqIxqpoysfzad/5Nnr38nMX154xjjS6ZVjO6PVlmcooslztGN1JSwLkEUpFzRmVVbyUD5JLx0SO0QmNYrXsabWjNDCd7zrqGbjKhDANnxyfshhGywyqLyhw6EfVBO4Za0r579z6MsNxd82L4gqI7Ss6cHs2RwjOkwDB4hAQfDRlPkQIhCo3Wf2VEFVIhparGXVUZXl4UUs68uPyMEgNd0xLCQNO0xFD4lQ++znsffIvv/+CHDNsN4vB6WaUq914pShhYecEf/OwVn7z+J4QQ2ewC07alXw6kmEHUXpmxCpUhioLMhYnuGLJncHuk0fgs8NEzZokoghJWyJIISoKw/Bt//x8xOb3D/+Uf/+8J/Z4iMiE5psf3sdbTb27Y956jpmGmLG5m6Ic9usjqKhC1RMoh8pR8IOfaQ0FqRK6XB30ArTXWe6wUuJJQTUMqHhEKMQiMsrjkK4McSZEZhaQl0jWG3ivQiW4yr/HeVC9gswCTC8UoiOWvzhX7vceITJGKIjN/+fP/iaP5lLadQM4M0aMxvH1/zuPHlqICURamzaQiNwVYKqr10eO32VxfsMgLjDRoIbh7/4yYJcvFFZfLC7IPNXYkEkdTw4ePH/Lxiwt8STSNxDmPEbLm/rsZ3hXeu3Of690FHs3J/JTl6pIUPKh6WerCgD0kMKSsoq+coaRExtCYCSn7isQ2LSllSs5EF1hvFjjf1+1E9uRSsLaFPKCkpukMUhpsOyWUgWev1wy5ulAklUSo8DS2wXRHbJfXNFbSh57gBSpbRhmZqEo5+puYv/YhXii4f/KI+48e8JNPfszbD9/G7Ue2Wwdxy74fWWwuiSXTlHQo4rQ8un+fpy+ekUv9BZAJJspws1mRY0JIwRB7hBHsh54H3Qmt6PAxYGUhM7DcOURRWG0oRnN8bPBesNkPaNWQhWC12RFlrC1u2RByQhyazMp0ZEK1K8pce+a6xdoJetxT1pa2THnw0PKNrz3kO9/5XTpj+NnHf8lq91M2V2uuL89xo2PaNpgAUUQeThv+7pM5//Tn5yyT4fjomLbrWG2XtE1DUQ6TEtElSNBvthiraERkzILgIo2xRJGrJTRWAkFr5jy8dwejWjYvXjCMPU83K4rMFVE41INjgUoLKIam7SgxVmyml6zdnkk7xYcRqTRvv/9NJqf38Vdfst1vAIEphiwDSjXkojk6usfFxZfkEslOom2DnUxwux06BmzTEHTHMOxQYU+vB2KupwMhVc3EtR1tAURdgff7Hd/72Z9AycynM/7DVqpnnwAAR7xJREFU3/1lXi+2/PzHT3l8NOXyzZajO8c8vnuHL16+IhfIReFDLWMhIMXIGDJWSoLM1ZQmJEFUgo1CkFXNDY7DQGMUQiqCG7CqqW9eUSgHMoMQhVwSrbGVVGMhlXozYrVFqMJ+GOlMh0sjxXtkKVjTsLr5AvQEZMJKS0GjtSQkx/HxMUTwYSQWQSkQiiAEh5Wy3tY2CqkNnenYh6GutYsiCsdIYtK0SFltPCF6IPP5yy/JxdBvRk6Oz4i7EYoga8PjOw8ouyv+zsM7/GIz8snlgCSz3uwgKWbzI/a7FUUqbnzhgfMkveKDrz3h3/nNb/BLH36Dn372JS8uVjx99QZyYbu/qTlAX2kV7fQEMQ5EAvs+cDQ1FJlxIbEfRkIcyVhSGHFppLNVtT2bHSPyYfUbAq1sGEKPbVswguA9ZRyQstDNjjHS4N2OEAOZ6pXUtuIRlRAMKWNNy/zkLqubJaPbVWuvUCSq7XfStey9q5uD4mv5DImeNFxe3hBjJATHZDLD79cI1ZNE3VaJrJBakTxoZbEq0xWBmkyRusNi+KMXN/zoas/zN1tiAZEKpuuI+4Ax1cHnRSHHjDWKXHwV18nCW48fs9luKWkkF3BFMAw9ALKxCKuxRddthGoYsqgf0lLUhxwEQiliCphGgxbEIeBjoDUWbVpiimQhUSi+80vfYbFZ8+zFxyRAkarDwk7Iwx4XB15+9QnX169wvUMZSzaGmGtmuBMdp+2cd47v8p0Pf5mv/+p3GMeB9GdzFldrBrsnyDX7/SXeO1yJSOUQeo6UmX5w/PzL5xzP7xKTZxgHRhk5mZ+wdZ6MRwtDyJGQHVEIlGkR3lGoGN2YK299Np3z7W/+Bp9++heVza40JWa0kMyOH7LrbxB+pIiGIluSqtjG4+N7uLhj2HuMthhbuwK77VAfCoXkg2/+Em/evGE59ogsSTqTlOTPPnrK+4/u8533H3D/RDOddfzxz16x2y9A11vqr739iPOLN+ycJ6ZCN+tYbNakUtisqwxMKo2PsPG52j79iDKCGGQt3ZaC0obXLz5hs10wjp6YK7FOlIYs9ghRSDKz61dQ4KybIYVmG0aSG9CqEBGUHBm9p0hNcA4rCtrOkK3mph/IMnJnOuOXH3bs9pmPLwp9X/jVb7zDs8stn99cY0VCFoXQhlRAC40VkvZ4wmZcEHNiogTN9IxcHB++9z6/ePoUt/N0R3coOeDGfSWj5YjRqv57pKzMfVFxsZl6ySaFQpaMsg3SzJg1Dd5Hpu2E7viEr3/4m5zeOUOI71MIGCTuIJYUOTL2EW0MRVTx4LPXa6rTKrNYX7DcGKQKpFTwIdFpTUqBaTtj0hh+7a1HPL1Y89nFS6wxOBdQuoEYqMuDQkmCIhS5ZP7s+/8janpMITNrpiAE637NanlOiJFWGIoxbAoMKXH3/hPixQvGoX4nDwcTcxwGoqhUuanWRAlSFMatQ9kWSUBhME2HkIp5c8Tk+C5Xb35OIuDdFls0UkKhdhaUMfhx4JfPjjlpFP/DxYYiFNt+y/FkSqDKETG2xj+9RytDKJLoM42xuOw5ndzH+wGfBq4vF3TTKVkKtLGkkvmjj17yo6eXbHceSeatxw/46mJJSI6w8Rx1d9j3FcNq0CAFbdewXq0YxozWkuP5Md/47m/wo7/8iL7fsN2NfPXqipgT9+8+IQlPYcN+d4OSku1uz53pPY7uPuT5zTnSwNX1Of3Y13iMqp6akmupWUlNzCCloMhCToEqcE1V7CbqZbAp9WLYFEXMFina+sBFFZ2dnt3j6vo1JRaadkJMnl2/o5tOkFqQ9ju0ShU3rBVaaabTlu3+pl4u5ExnjxiLJ4RQ5ZTUou6/0kM8svDy4pxn118xsXOkaFmuzmlNyz5mYgmgCqbRWKMhZ2IKXC+uiT4cXlRFEYXd6A85p8wQRpAKXRLJOZ5fLHl5s2YsgUZJGtFgTbWZ5az4pfff5WZ9w1e7AaMbysF098Hb7/PFy6coaWumUUP2DtvUG+ssHClB0zT1gJ0iIgX2oiMLw9RM0c0djmYPOb37FtZoHp0954EV3EhY5cQkF3Izx7aGzfY1173jnz8P9Aimkxnvfu3bvPvoa/zBP/+n9H6DmUJRsjbRtQKfD7Y/RUwjbatRKtF7Xz+AkkVZwf27d/jVX/6AP/nznxFCX9dAWjKRmj5VfXMjNbvkKLFQSmGXtsyNqTrwLJBty9r3TFqDLIbPv/wpTfecGHcUkTGdpUS4f/qIm+0OowTTVnE2nXOxXlEaRYwONUgen95ltVpUhrPbkKPHac2D4xP8pGG37ykJRM7crK+Y2im2tQQXIdecGkbx5mbD/+mf/ZC+d2xudry6GtnGyLwfcVFU2kS/Q6lMoOIOcy64HKrsy2pKrIUT8mFt5X1t9StBOGTmiqpFuNlkxugCLjmMVjTthFQSMQWm3ZQcEsrU9XLXtrRas/URbRpOmik5j4TBV5NsSOSYkEodNkqKkkVFTO43NI3GDwMhpPrmRhFcIlOYTefkXNF2/ejxKeLzgMzw8OFdRNasN2uyH1EF/OBIStKaKiXzsUp+RCmst0tEzhRZy66uH/h7797nf/s73+A/+/OnnK+37GKik7UUKFKm04Zm2jL2nlgyUUwYZcsuZAZCfa8Vz0wI1rLQthNiigjRo9A8nN/hxe45MiWmXUcIhXFwXPvFQeLiyYJKXyiFVmpu3J5SPK3VxJwJJLSUdLah0R1KCzyKGD3JCPqhWieHoafV1VqIqEKzLBQhZuThYWB1fU6KGWkFnT2maRtGv6GxM9pGMOkdm7EnClGFOIAbPClGZJE0RuH9gBt7gp6AVLQi4YmEWMuQVkkmSqEt/MZ773C9XPHx9TVSWuJyT2Mt9ydzrDXcLFfsGWltSwyZNNZDgG0aBJnt4Dk+OuW3/u7f4Qd/8kO0ULwc3pCFRapEKyHLhum0w7uBcdcThIeScTkRoqJrK3O/pMSk7Rh9IHgPWVQBlNRIpRnHDVJaAomPn36KVhJpBCLWWFprj5lOpmxiZgwBKWC3W5OKx+SMlRN8zqA1I4pRzMj2LpPZA+anDXqnOLGCIwnXck/Ke0pJiFQpMkp37PsVoQQ63RK8Yzvs2Q07kAmRJT4GKJWj70ONm1hZOyWN0Ax4tBHkHNgNNffbj46f/uJHhHHD8fyI3LUQr8ko3n7rMb/49JreO5rG0ulIM72PGze115ShsVWXvu8HGttilUFoTSmK8zev2W0WKG2QuZYHN24kx8DHX77k1asrjqaKTYhsx0BJmn5MIAfuzO+xumnolcMlT9gmcqmWTy0lJdeNnDWWPI71AUtIYvS0xiIFtNYiCuw25wQXyYC2ltY0iGBIaYMqDUZNyKFHKUGfPZQaBxBGMCZRhTyNxYVMKZJucsSdk1MuLl7hN3uUktyZzXjnzoR/9N2HBAr/8X//Ga8W8NEXlyjb1qJ3ihxPJhADi6ApAjarG/bNknY2RcSC9yP9akfTaj769NN6ydI1HHctu/1A0pIiLcS69dDGUkKiaQxSG5rJjL0fKb2HUjteeItUhX4YoSR2/ZauO+Llqy/5/o++x7Pzl4yhcHI0x6T8//aqlIpLdiHhc6rEsRSQsT7UiOgxrabkepEHqWIcQwYZWG43CALKakqsWwFJqdCCEnExoYtEKUWRicX1lwxvIqF4SrZkKsFGSE0r4eRownKzRZDwKbC6fEN26UCGizRWklKufUJrUArunpxwdX1DzhKpWwoBIQqlZLSdkEXGpx52FxRZsFpXlG0SSK2IKVJyQkuLNoqPFiuUneH9iKAKsGo5WWJU9SkgC0FkhBDIIvFjz1F7RkwDQ7/ENgZ8QORE2A9QMpq6cd73I73zFArKGp59ec7OjSBAi8zRyX2SFmzGV2jTMpmesNq9gSxpJ7XQGrzjs88+Y4x7GtPg3MjFdk1jO/rNEmlUdT8YjVYalz2L3SXrjxbYyZz7b32Nr774iFyqQLNpOob9/rC1F8RU43nd5JQoM27cYlSDpPb8YozMJzM2uy3GNhydnvLo+B6fhB6tGmQS9cHczlHC4KTD+x1CCE7O3sLohtebr6CRSNEhYkZRP7NXmyXCVOhHCo5NdLTthJQLypaKIN1WR/y/skN8Zxu2w47kIrIUvvr856QcyM1IHwMJhY4FSaIcbsFiymzGHtqqs1apkFTGWosLnknbMvpEciNKFiZ2AkLQjwOBQtNO8UIDmTB6TCvZhR2bXSW/xFiRlAjP1XqDUoaUPFYqehmZTDt0kiSZSAWapkP6RFRV1mQPyTGdgaxZBc35tufV5Tmq6fhqccMY1ii2NIyU7Gjmj3n83m/y5z/4LwjRcSUKLiSKW/PJxz/m5fNnSA1KHPCZrq+rZQxz3VLynt57ck4kEuvNjrZtCQKiixQ0V8sFP/xZZLHZgTAgMlomnA+IYigCtIk0WZG0xFrNrDthsb6qzNIcmNjmwH/NvH3/LTbbG25W5wjZELOjaWvpyWSNVZb5zHJ3IrkIA1kWBAEEOD8yHFb/RRSkKpiisE3L45M7jCnxee9q3EgISox4E/l73/wtPnrxKa+uLmgkpFDjDT/69DkpRISy3PgCyREX55zde1J52rOOfr+vtl8U026C1iP9OBJjrMKcIKumviTa2QyfE7bkik9sGzYHC6UbB4SUfHh/xqtVT+YgfKKQQsT5KqBASpr2iPeefJPn589Yry/omoZwiGNUpvaBN60Kzo+1GU9Bq0KrbJVJKc90OselSPQjQihC8KRSmM2PePvxhywuz3m5ekkWEpsL682GXAzDmLCq4fT4iOV2hc8jAUFrJzgyMgqUrj+7GAtNAwhV1eMXiX/85694drXEyIiJuUZSSiL6Htu0JD9iZaHf9mg94dnFin/+vZ/x009f8+p6wZeXG5aD52x6SgyC6+0GoxI+C1yQGN2gVEYW8MHRHgrJsu04uzNht98RSuLJ7A7HJw3rN3sEGhfhdb+jkZb5tKVpT1BK8N133+ZHn33Gq80S22j26x53kLUlUR9M6214oj+s4ZWUZKGIJWKkoFHHTCfHIB1tlux2G9brkU7VrLAW8oBtk7jRgRKUXJh0M8boGfuenh6pK6kiHwgXshTOTs54s7jmjlF8eXVds8nTKadHZ9zcvKQxmmkrOTOCPZFiBf24RxeDVS3GtvRux5OTMya6sNgO/P7v/wEmS779/hMu1wtGP1TkZSnEoafPEaElnbWMREQGk2spP5VMEvXGdjf21cFgbT1wSEkMDu97JKWiZUti1y9RwjCxHSmOkDJuv8O5DVnULLj39YF2N9ZYYJIZo1tiyjQSfJFc9ZEvXnwBMrON8Grxmj0LAnuOpy06OXbFEaOnaTSjG9FFUXKmSNj3V7VQWwRnJyfkkOh9tR1WQ7IG0SCSwPkRLTVZZCAznUwZ+pGWhhQGRA5stxvSbkcmEsPIT372Z7UIKBvCGGgmtgpbKOyXr1C6RouKBKsaOt0SVcRFx3sPnrDbDZRc6GyLlInldk/TS5QsJCEYSma5GMkloLPBGsW3336XZ69f8MOPfo5RDUJKYkyoEmnbBplz5fMLWUt9mWqgzb5afQs0RnL3ZMbZrOXrj0642vV8et6z3sAQE7HvKdmgZYNWhsl0ghUt16slRkv6oaJ2c46oUihakciUusAkp8B+7xFCYK3Ex0yMjlf7kf/x02vA4EJCSRgT5O0GKLRa4l1F6iqlSS6iTo4Ytj0Cz8QYWj3BxTXexUPfoKL4Ur8n+FAJRVQ3RqosDpSo5lejFK2xlXwlTaW3CAUic3J2himC9XKJUB1pKPzwx3/G4AKp1M7UZr/FaF1jKBiUaaoDoij2IWB0oORUOfqqoAA3Bpq2QQuDTJEhZrIMhKHw4/PrihnUBqj9JJkhZgFZ0k1qh6HEQMmRraFuT4QglEBrGibdKcfzY1bXF2z2e7puUjtxIdDHiJoY2mQZhj1S1YN0KInsM6KbEAp/RVBKAmQWaFnIJeLLgCkG7/ZEN0CCMcXa6VOZe7pjIwT7PFJSJOXIPgrmWtJpjfPV1bFLmUJkOp+zW2+x1pJDqP6fVEld3eQ+yu9YDq9JIRCp5xRKQUhIuWCaCdENdcOpDTFCjPUiT1NIWrHavWE3bkgxEmPC+B1nxw84aSyn7ciX11s24xbrTEWPh0CrO5wfGIb672bnidQLLJfCgeBTyVN+3PHy6aeEULGiilrwtdMZDRPaboJPO3bLFdN2CkaySoWYPTJnkgtMreYf/MZ7XCwHfvDxM65uFtydP8BIS+/WIBV+dFxeflUx12OkUZmsNdfbNfNmyrzT1WAtNEf37nN58eUBZ6sgRsZSP6dlqtvl1lZ6n5Kyxkr/BhI1f/1ia7A0jcJIRQiREEaErLclk26KkIqjo7uM6wVtN2e9u66H2IM8w2hLpkoAiqzRCEqG7Jl1Hc4V+uAxTQXykyNGNRwdHXNx9YYQE2kc+fzLFwRfiw5KCIwGWzx5XKOUYt7cQYuC7/cMISBFhEaihEFpeHz3MSUkrodVVXQLSSSwzRummyuefvERaf2GZE5ZrK+4Wm1Yp4Fee6IuhNWXfP7T12ThkMLR5Cqk2o173LDCKM3J/Jj9YsUYHTnD8aTDe0egkIpGyYRoqqRFyqbaNOOhfCYSQ7/n2a4HPEa1+CzJofD+k6+zWN4w+h07l1CmIfqxrj4PN6E5jYc/dkipkLJhub0mhkKrjxBW0A8JpSQxKi62K0TXcrlcIEtmGBOkQhbQtho/Fq7XS4xWB5KHoeiEiyM/ffYlpp0CgsYIjO6IueDcyJ/+5C8Yo0dQba+trV+gzrnKe42OlA54Jx9YLLeM+x0nJ1N2EoqqhlzvJLa1jM7V28048OTdX2a1umHc3XA0P0XYluX1FabNtVleJLZtcbsBaTXtbIraDCjToVvNZnNNSA4pFCnXWFLJhcXiNdvlRW2iF4eQGa0FUguiFDjv65O8USQfEUXStlNIkW2/wxeI+339otKGHCMWSdtNsErzyZefkOKAoDBRGm00vRtxfouSmsFHrG84vvuIizdfohtoVUsjDZvNJdEKSjq862XmaNIxjImbbPgvP1+y77eMWeCyoEhBow0yJMIYGQFjJbJJ7IcFV5eej1JCpAu22bO+2eK9RDUwPTphXLyBbLFGc7l4gcwJX2rgWyldb36kYN51tK1mue6RxvLg/j2utteHLYVj0k3wsaI8N/0ALmKBX5TAYtdXDbuwGFVNhpRcD6hGAoFUarRjTIVSQMiApDLLi+tJDHiXsI1EmzmpZKIUTBrFg7tnLK7X3KxWFAQnk+nh0AsqBRqtiUUiY2E20ezGREwJCry+fo1SFt1M2I6B7TggpeL1xVfo1rIdIq7f8d1vvcfVdkMILcb5AxauYXJUbzL/17/2Li9Gx+/99Ck3lzdI4OXiDSUIZlJQpKL3rpaTRUakUOM3WdEYg+t7QnEgIOYa92qbDpccJWe01nUF7sf6+uiG4BxaW0LxJBWx2TDtpsSUECEAAoRB60KSCRccQlRmdEqZEHs6O6fIwHa4YrX9mPMvrrCrBzzbTbhYvuLNasX1dkO/vIIcKQdE5G69QYi6nlZSE12oEpbG4EIgKkujQex7Hpw+YLVZsR8HkKpaMrXEx0grLaEI8AErJDEMNcImNIGMIpJTRh2QsCVT8XkZBj8i0gWShDWWtx/eQ0vLJ89eE0VhHxyhRBSKq/NrfIyEXO2jM91ilcKNDmMUGQXek6Kv0S5rUa0mplrcEBRCHIgpYYRGG1W7YjmhVMPZ0X0ub17z3luPudmv2O8zQUhs09Idn6GbzO/8xtf4X/6bv8Yvnr3hP/uvv89qVRnW06M5m32PG0ZCifzGex9y//SE/+5PflAvEHSuyMQMiUodCkhM05CT4M7siOvNFcJIUiioUlj2Pe5Cs+xh7z3FhWruNJK2ndOPe6IAH2q8UJhMyYXkD/FGIg7J0eSEtLsBKWmPT7h35xHri9cs9huKKgjVkvPhddOadOi6ECUleDa7i4oLJjERBt22CKG4urjCqISUltZkrtfXACQhCSlUT4FQZFmwTYuUgpAyAoOSlv24w+dc3yMxoanoYIXCJSglMlEC3bSUmBASXBghQVKQXZUOvf3gHsbMWex6UoGd9EylZDfcYCYNZahSxXYyZ9beJanIxetn9bCrJE/eepeb7Yp+e8P+AEXonaNpO7713juk5Pn89StcCIQM234khFJ7XRmkUNjWklwg+0IRHkmpD+OyRjIJCqkk7z0+4WQ+5Q9/+rT23FpL9AHv15UkoyTOBzKxGqi1RjUdOQe0sLS2JZTAGAdWwzlCSEqpW2dRoLEtIlVikrYS5/e03YScElophpCYtIcon/MoMcHFESMSWhn84eHr3/6t3+FYDPxat+Q/+f7P+clFJqCwVuMOVKW26yqlTpSaTiigrKV4OJ51GG24Xi0RUlLinpmt0euQPFOpGFLm9M4Zd++8yydf/hipDMv1khBHjk/vstlGhAzEGMlNx4OzYxbbnhAjUgo+efYpMUWSiNVqbjRDHBBJU1Ii6greyGHHLmamjYasyWJgef2yYjNLwRdJHP0hlZLqob5EUkkYOyWj6jmXf/lIzV/7EB/DSGNVLfAJAVbVuAod/bhB25ah32G7lu3mmlISOWWm0jBQb4tSkpgiyEISM4RU4wY+FQKBeTvh7vERm13PLnl8jlwtrv6KMiKSRxWNbhr6GP8q8/qN47vsgucXqxVhIpCyZkerQn7FhJYYoRnh4nrB2AdsJxiLpOsSWudaztyfw9WW51cXbOScXXDsVgOpB7lOSKNJemAYHMHt0NLSKKrmWyis1Ijcc361JGZZrY1S8bVpw6XuqixlTGxCwHYtJkp8Gar4JmWibSlxpDWGMXlMMyH5kYlpGELg4vIlyJojVGgIhZIgDoHL/WuKEihtyKmi+HKJSJWR9gSjBqKMZCrSiqKrRVVphIpsi+DqZonpGtxQyNERPGhrECETYkZRakk0Z9AKVwop7kFZtJdIUxAlI5RgPSyQ0pJz4XhqeHA648XVluSr3VClQmsmbIc9KSf8cIUwmqv1ls40mBwZXSIyIuKI1nXLYqzlzZvnZB2YdobtdsXee2LyyJIRsiWUhNz2FJGJHn724gIpNSdtgylw1HTs/Qg5o7QgFwhu5DqOFKpYJxZPDh4lLf1Yf/etadGqwYf6zxqtKuucglQgUBTqn88h1Ne+abn74H0u3zyFMOKTp8hMDIGJFkhg2nVIKXHOsNrcIFNCZsmjsyf85q/+W7xajPzJ9/4xhITI9cPO+8wuJcYM6UB9amaWTjbEzRIXMjJJZKNB1iy0EpYhFrqcOL/e4vuCTz1eGESM3Ll3jw/f/QZvLt7QWEHfb/G+cqrBQ0xY02LMhCLrTV+OsN068gFF+tGLp0hRb+6jCDjnkVKAUPgYkNkTheDLq0uk0oiUGIcdmYzWLSE6isxIXbcbWWaUUGgZK341SoIIKNEwPzpjv72mAIPz2LLj0ekdjmYTlDGkAM4v6k0fsHUeJQwh7FGNpIxACEQp2Y2xHnJRpBTRurKQL5YLOg2PH9/HZMOzZ68wNtMXzy4l/vDZBUMMpGKJpcrUnrz9Lsv1gnEofLrZcfetdzmdv2HY7XApURqNlZI+VGSeFpr5ZI5LCcwUa1vGzbKSrpRCHDjREoltBMGNNZKRq9ExeF8jLaJm6OeTllImxDhiW41uT5BZslu9rh0WJejMlDanakzNgvlseri9LFhpMRSC39LIKWlzwcvVFWr5FV9tLee7DYvNK8Kuryx0PzBRLVkpQoBO18sRnxIKyRg8d08fM44943rDKAWT6ZzL1YJ7J8ecnJ3y+vKy/rxD5cnbRuJdIptCpFoxG9PgU6FkQVa1bF5EIY2Ov/PkEdtxz7ONIOVCzh53MEXvYsHFDa4ErDVY01CyRedKx2msQskGhcCFQlEKU6kMyBJRbUsjCn4M6DaSg+bL18+YtQ3DTlEUmKJA1IK1EIIxJKRxbIYtXTNjubjE68xsUqNQQrX0fWJSMpOp4cnjU8aQuXc856tuhw6J/b5Hxko6shKevjhntXW01qJFYIyZbQ4o2yJ8qQdiaxidRx1MpCWX+nskDRmHKpIxOm7WgSIsjZAkJEoJ7t/pOL/esd9llFJoLQ+xOkG/3SCloJt1pNGzWr3BylrmlkWQXU+WkSAzJlV+vZBQ0NXeLgVCF6yUjDkdMIvV+tuqll/94EO+/9EPCBKUVcTQU7b1PZlEQgpLTBkjE0UYUo4IkSqxLji0soTk0EbXPpZPCC2Qon6HxRCQWTA7OqZpJ6zWC3zxNd6gK51ECEExhkJiNXiezFq+dnbMx58+xWpRL6AQMAxEnzFSkceBjXuDi7XHoVV9APv0xS8wqkMZjfKRGBwPH3zAZNJgG8luuyN5gc6GD+49YTksuCoBKxWlkcQiDpbqQCihelEmHXEoSCoMIKsISvP0YsF8OxCLRwqDpKkbZ1Vouw6/35KATltCjITeQ/Yk7ylF4/qBGBNN0xBCj9UdVrW4EJBSkGSqaNDDQV0XECXW0jOC3/rOb/Hg/gN+8P3vsYwXIAJxSEhdaVBC1t+589WOR7/+m/yf//i/4fnaYYzGakMOiYrvc4RcHzK0UeRSt+Tj0GOVZt97chpQ0iJ0S3A70IJOGwbfs3ctxlheXzzjavEKpKZAJSHFxHa75PGDd4l+X7sn/cj/8Z98v17IxYQ1dZPlYo/UgjvHd1BCsro6J8oRZRQ5C3IMKCWg7LneZo67pmKIyXQoHtw94Ys3V4BEkklZok2CLA8l2i1IXS+x/wbmr3+It4UwOM5mR/T7EXIiSsU4DrRSkgbHcnyDkoIcHW/df5dh37Pf9zRtw70Hb7G6fIVzEHKPkQWpOhACbahRjRDZja7eyHmPamHIniIVWlhKzDTNlI3bY4ylbVqKaPh06PHjCPJf3NAIZKnrzJpuq8XDVcl0lFoCLQO2qZg7bwN38oTfPpN8+5Hiv/rJFef7a5xSbIYB/EBJkVkrGaNk6/qaqQTW+56T1qBjZQuHnBApIpQmC5g0iod3p5w/W5LpEHbCnbZhiD2hVOxjHDxKVUlNo2vLW+pAimCtpShBsVX/nFI9qOackDFjpEWSK4ZNWXKO9UY8eKQqxBxY7jeIEvAxMTdHzKeKdnaERPOg0zw8mvDnL1+yHQ83SvbwAZIkOcVqHpQGIxMuV5tlyLmWtoomOg9KMnqHD5mutUg0nbT0ORJ84GblSSUiTc1IU2DXr0il8ttRhuPplM1ui8+Zk9N7+JsbGq04ufOAy5s3lZqgp/h+Q/AJoVuyEIen6AJSYgQ0kxk5B7rjJ6wWl6QQUCqzW1/Vg2BWdKZlXwZErmvRIjIxlPqFmBKqSLY+oWXNZ4osUTLjxoGc64ctRbDvt1UYpURFJmpTkW3Jkz3YxnF9/az+OV0tjsiMNhZZIKdM8FWEFFJFsQW/RVnJfhz45NlfcH55XtFgyaOVou0aBhdwsYorYkq45HG94e0nHwCFvFoSS8DSVg9OSVhZUFQZi5GW7dAzxEiRgbP5Gad3n/AP/8G/z49+8md8+vJLpPYYFA/u3GG5WjKqTEqFd+7cY+d7VtsVm82bA7te1lVuKhSRQECrW9rZnH6zopSEL4FGWWKJ+Jg5EppcBDFncklInTi58y77m9fImHh0MudysyaXgjGqIhD7iFGWk9P7zCbH+LCvh00MEzXlfLHmer1m0jWInPG+p5WSseTqHXAjVklUnGBayT5vKNSyu24avPNYrZh1Rxip2PRLfJI8ffYaIzWytWy2tfAlESzCgJIFYWIVokznnL85J8aEVi3//KNXyI9e4HJCGctUF7SRtQtyPMONnuwLoiSS93g3EFVfHygODGShDOmw1dKiBduSXKLRAu8dQglyEkxmHbFEKAXbTZirOYNbEFOgUR1K1tI4pTA4R0ihCmwQ7Pr9ob9j0WIkyYIqLdH1bJxnKyyvbhZkpendluR3WA1lFCgz4fjOPa7OX6CF5Hg6Y7XZYo3E58KROeb06DFrXkLXsd3Wn4/s5nz9gye8PH+DtooUFVYZQnR4N6BEFTpJBaZpISsSHqMKoqk9CZEF3WSKi55QwA1DRWumgFKKEBN9H/BeMOsMIRVkAZslQlhO5yf83V/5gKeX1/zii6fE5Mg5Y4xCa0MYe+IYauZZC3ARnxzvvvUW/4u//2v809//KethJMbAo7ffJe0WvFlcYFQVWO33q8pDJ3F0NMN7R/KByekUt9uTuhk/+uwc/u9/xNUm8vxqxX6/I1SdAj5HJIocC1fLa67WOxppGFK9gZ9MZsSSCaYSz0Iq5CyQSbHxa7Q1ECPaCkJQKK1xY8SLhLENngDaktye3QaEEDSdZTa9Qz+sMFkgpCSEUst7oQoaRdbVvSA9frfhcrujNDBtj4h+RJeCVC0hR2KKmFK3g0FmNAIlRDVgCsmYI5fXF9UoGzyhWLRSNNYQRWbSHdXYwS4SoqOxFimaun2K+ZArrg8b5dClEQJkSmQpKFRU4d07pzx561t891//t/kv/vF/hB+H+vpGwXx6TNJQXGY+73g0V/y731J004blwnD34ROef/6KxZAQKtPoxIPjU96slsR4kAopTQqJjK0QipTwosaZjDQYo2uevxEsL14hpEEbxcMnb7F9vqdtKv5SxIJsDME7sizILFCyISdZzbaqQShJP27x3nOdCqtdRDct9mjKNGtMUfQ5klJC2Y6SqiRNFEUcekJ0KCRBxBonlpKQqpfg/oP3uFg9x3hJjAEjBdY2KKVxuZ7VSFS7bwEtLdZMmHRHLDY3RD+gJfRjld5Zq1FK8vzqM1793jPWmxuinNN2giezCYv9lpvNlhzBWI2LniwSEmhsg4iBprFshxGrFS54OmUQjaE0LfPZnGHpcCEzM5ZSBgSeUiqfP8dIjjXxcTyZo46P2Ww3zI4ntPM7vH79Ka3WuKJ554Nv89XzT+h3W8bdDttYElVAoYQmUVDK0OoGkSKPH99nnve8MzH86eU1myGQlje4EslkhJBgTMV+Zl+dFUkiRXUA/Su9iZcJEobtbgQJvfdoY9CmxWhJToUcPPXv0lzdXHDaTdBNQRnJdrmot9M6M7dTxrHn8aP3Wa9v2O/e0BZNVIm934IPTGWDCJmSEylGGtMwlsg+7EkErJT4wSNzBOtJtnDPHKO0ZbHtQdQITxKFmKGxGqWmCJ0YwhalNdkNnE5OUTpztbrix+ct15vAcpnZ9CO7nJl1kjHs2YuM2+/RITE1itZOGd2IILDYeJoWkox0TcvWRYL3nLTHaKV5uu8Y9Z7B7Tk7mvPdd9/i9WbDR1+cI0uHVY7cKCZS13KENPTDSCqQfKybglIgKaS2qKYjhaHmtRuF349oqcghoY3kbNax7gvOe2KISJ1QStE0DVpViczZ2Rkn8yPOOk3bQrNcsw2V9RoHkIfHH6UacpaQEtJYiCMJWUk0WhO8q6i3ziBQB3pGJRD9+gff4GfPnnG5vyGEgJCagGPazdEFdrstpdQbG0Rhvw/EAq3taGxH0wgen54ynczrG79Edv2SiW6quEYXQnQAVYQhM2N2qBwrgSN6tJHkBNYauoliv3M1cy0CQkiMFpSYiOPA8b17hJDZbNZ4NyLrxSaTrpa7gq8disZaDJLe1QclyBQBxjbkWC2GsWSMbTg5OmO5viLH+lrKxqBEwoeIExJjJd55RKwNeiE1az8ilCaurpjOW7bbBYPfobWlKA2yisJ0kSgd8WNCGU2nDW/efIEsscq5UOzHHZRKXRnx5NSTPBgxYKTFC4mMiRICV29e8s/+4Pe4uPwSYkakTJay5hSpt1ApjrxcvkJKRWs1x/N7LPdbQiq4UNv/xMDRyTGu7xk2l/Ql07YtKmlAYY2l5B5fAjFHrLXcPbnHehjYLi9B1Ifb95+8ze5zT58CymiCS4xhoFUTpIg4t2I6acnFMwwjugWpJMmPLJxDqkygYBGIXJAiIhQczTqGMbBdDxUhajVZCkRKmMZSQmG3XfNvfP0tPrsaWI4etODtWcuj4xl//KxHSsvRpOV0PiHGyPVmTzeZQxbs3Jond99BiMKby1co3eFjZt5q/rWv3efv/vLb/Kf/w49Z9oKjSUcvN+yDw5ORouDjiJQSEQQoydnZXW5Wl4iY8ENEtR10EXl42BRKg6riocYa8AI/3BC0ITgH3jEEgTQFHTNjTFU4VCQnpuHJo8ec7xZcLBbYVhGcJznHh48f8dZ7b/GH3/+IE2PJcsLoHSEVknMkE5GicNx2bLZLckmEkrgcRoRWGDLTBnZjzydf/ACrDUpCY+F6cYWWHd/7wTUxV9uzqr1obDtlDCNC1GhUpzTeO5TQNK3lO996n/cf3uX7H3/G0+dv6MPAFwlCKRWrKBtmk4ZhDPVzpd+S0AgS7zx4h82wZ7leVVRv3PHmcsHnz14RUz2USGL1f4RKfMnZ0ZiGo27OMCZEiJATf/nJCy73C3zMqBAZV1dI7ckIpFGIWJhMDZudQ3YTVoPnrD2GvGW/XpKy4PyqR4qeTz57xRAVq+DwpeD6COmw1UuVBd9ITXA9vaxhWt00hJRJWdA1HcJCiQklA3483HQqi3OesU+YdkrOCYE4lGt7tCokH4iucJ322MagUEgKbnTVQu0CxlSbuHcVS+hCfW2VsJjGQFJkDe/cvUdu4PmXzwl5W6kpSmGKJAIx1iIzuaCMgQLrzZLNbokS0MqWXJ1ZLLd7TNciUQiREShs09GPA40yCCEQOqOLQqKIJaOVxpq6IVBkkhBYaQl+YLlZsOh/wtV2W50Bqka+BIVRjGhXuHt8zDff6hjHQmskKkU603F2+gD1tSn7n/+YIUViKLy4uqkP1lYhoiT7iFVVZtZ7x3Q+Z7tf1e8HIuNuCUdzdgcKEsEx+Mgnz37Batgwm58yzZLF8poyjohSsbBaT7GmQSTP4AfGlNFSHh7yQaTaORCi4DZrij2im7SkweGGDSCZz47q9kMObPae8i/kW7HGRUOIqCho9YSbxSsUis5YnJRsxn3tkYwOZQQZQcqKkkaabsIPf/x9Jh9bXMw0tiHnUB+WZX2oKjkQvWdxfcHYJ7QoDEQ6eUrfF87uf8jO/ZhhiCAlUsqaMCiZrmTa2RHvv/ttfv6Ln0KOTCaWkiLZe7Ko5VCrFMPYs9g5pJLkEJlNJhy3mlW/I+aAsS3RbTm/uEGqzLpf4oY9R6ZSakiF8y8+R8tC01piGQhj7S0V0TI9PuHOvVM+/+wL2qaj71eoIrhvDN98dMyf3VzhY0bEWEEmBcgSqQo5G9qJJfSeDDy8f5erxYLVev2v8BAvIXkHkxOM0sjkyEWQwkgOdX2qYwKZkKrl7vED7t59i83zX7BdrzGHiIs2GR9awFDCDuf2h1V/xbPNU2FfBFK1xOSxpsHLjJYKI3PNj3tfV2xSkFRioo9oRWY37LEuY0X9oRql2ecIqYoofPRYoZgqRYoR3Qj2bkfMLT7s+Mm54jO9ww9VWJSFYmharJ2i/Z7sHMZO8CnjhhEXtsgGlFLElIlJYnyhUxZrW6JW7GNm9fqC6dTQWM3d6ZTf+u43+dMffcpH8ZyEI+RaftLFMjtqyVmwdx6VZb2JS1QphMrErJEhImO12o2bDY0xNI3F+0h0kWXpefjgAWMYGYPDjQMUmImGWTflzmnHh1+7z2/86m/Qth0//fRj3rq3J4bCbtggDyW6QkRJVdF/PjPGANqgtKlP8X5ANg0GRSM1WEUTFS5Expz40bMviWSsNBgr2Q/1NtFQYx5yrHEK2zSk6HE5IkrBiMBy85o7Z/c4alo8I7LR+G011sUMZ2f3We02tEYSZUaQiC6AqmtRIRKEWubTZkIsge3oGD3MrCH6mv0fUkCL+qU27LaVeJA9omSaZoJSiRzlIecp0KWaFn2uNKYGSdfWNX+IYK1EAlaYyqbPVZRVhEDYhtN5x2JxiSwKKSWMsdpAY0VgCpFJQCsVGonNGm2qbEkqTTeZYIuANDIO9Sbq/t3HLFaXlfwgCn0fq9Y7ZbqmpRSBd44iFQpT7X/BkZuIyg1aN/RpYL3Yc/G9lygURmu01nUt6wNGQPLV+rnb9Wjb0s6P+OBr7/DyYs35mwt8GcEIhNFMlMKLekPcSY0fRpSskaOumdeH3X5LDuB9qL9rOjG3ms0m0Q8jP/zkE4SS+Fgo2qG1rp6AnNjubrh/8oB2OmG7XWOEwIc1SmrGcsCKoSAHQm09Mo4BIxXr3UhGEnWutz1JEEPmwVvvEPLIZrEgesOzixXbMTLEhLGKnQ8k1fDOg3d4/uZlfS+qjtfnXyFFpmsb9qNHSMlivWAY9ghrOT65B8MFwUWMUTw46jhpNX1IHE9P2bkeITOtMKTgSTlRKHSm5e7JMTf7HorEpYyQkdLvUFoym94h5xWUQkgBISIp13iEFoZh6LFIdKMp0UEUKN1i5YDVmpwy29AzO5lhQk8IgS4IZGmQWrByjv0XT3Hjmr064sHJfTZvesY4YA2MPiGKw8XEfrMl5Mqa1iWydw4vJMYokKL+XmcPaMYgEDmBHPEl0jQN2Sc8gZgFWoTqVSgBlSDlWFHBQtEKzS+9/4D/4B/+JtvBsboe2A2eo+N7JKXZ3JyTvEcqSygRqQwlZiSBmBKr3ZbtdksgwRC4Gkf6/TN2hyK6MZaQU821J1FL5Lrjgyfv8vY3v8Zf/uBHbDdb3iwvWfY7vPNoWYv+Mznw4Xun/MD17ITivbce8/L8vOrkYzV8xhjYO08pGWU0CcXFTUBLRRERSBglD1shR8oFqRtyiKRSanG1EsF5fPch14sLehcYQ8ROOppJSxoSUgSOJ1N2w8hsPmE/DFXghkBJhVDyr8yjRinstMNlTymSHD3r7QIl66FbCjDWsvce3Uicr6XKSsmqxmolFckLFuKC3/17f4d+veX86pq2UQSXKbogDlnvKASlHAQ6xSClwJgGo02VaHUdksTe1dL5ZrOs9KsMJQq+/vavs/drri6fQqlGXistwijapmHoB5QGRyInhctbtAKJwKSBi/OfIVR9oAwuUrShvvQSicRoxavdjv/DHz+jsS2b7Y6PX/8B08kJvY8EoOQanZKmcP/hOyyuLhnChiwKfhxQKrPvl6TgaRuN84V+v+fl6xe45BgP7/M7Z0d859c/5Ac/+jGLxYLaV4nVmZElKaTDgTIjMmjT4r2HUi2llY/ekEIkhoSQBd9vGKUmpADi8PhaKsVvM+7R1hByxTVLXQBziNCA1Ra05mZ9w+T4mBIP5WkSjTEgAx55KDzXWHRMkXXvaLsjxlClTRJRozLOVYJZDgeIg+S4a9G02HZCns04vzwnJo0+uCmElBQpsUXx4OQuN8NYHwYF9aLA1bw+SGLc8/r1mkKmbVpCCHBIRQzRk21F9CIsJMk+RB6e3efth4/44x/9BSWP9BmOpnPOpie8vHjFb3/nXycpwRdffMb16qoSbpSpUbBtInrPNq2YGsX1fs15THx/PbLflnouStXVIIXEtvoQh4Rx9KgMk8ZyfnHB6Ny/9AH+f9Yhniw5mc5ZuBUhKbQ0CBGIJTP6xMx2mMmUIQ6MMeJHx/M3r4nFYU2DKYkhBIxpiDkz0ZoXF8+YGAui0IeR1nSoaYMoe/Zhj9aa+ewEVmuUqE+aRQqMsWQp8WS+cf8O906O+cnnXzE7OcaPjjxmklCE5Mky1bhH22LNHCEHnNOIFGl1/eUPZVcjIgMkMRJTxCWBkp4+7GsGUYLULT4KTKtYDkukzsRAXXfmSKssgo5OZKIsrHYriu6IORF8w9B7vnQ3/D/+ux+w2G2IImKLZNZYxujxWXB6/wn3T+fEOHC9XtXsJ9AoRZYQx1KLbjnQdVNmxuBjokTJpDtidtKw8YHryxVCCVIZkQjUxCKEJmuJyfDg7l1+67u/zfGdM1CS7WYH0vDs9Qv8vqqvrWyJY49WHUXGqrvXXe00+L5+AWiJGxO+SI7tEWf3j3j64jkpK1a7LUaAbqp8qsSMsIp98OTgwEhyycRSi0gxa4IfCAdl+jAOXMUEXVdjRLkWkWJOrLbXpFJvDsJ+i5CH2zotESqjQsBLyLnmJR/f+wYX6y+Rbarl0JTqQd1OkKXgokeFatJrrMXHmiVNQnP/wXusVy8ZncMayRADUhlmWvDvPTjlg+OO//yzC8qR4h/97nf4y4+veHGxYCs1ulHkdURKjaFw0h3Tm2094A8jxVREWhaiblm0ookJlQs+JZ5+9RwhAyF7bCr4QRBCAeWRQmBly3J1gU+RIUaCC/SjI7WlYl5DQEmBVtQ1tLLs1mus1iRfqqgt1yL50Du0rYWbO8dPyCmyLz3JyKohRxDCEnkolBeZ+fzTp6R2RswVVWayIWbPar9GdzP2/aYWyJQk5oCQntX6isYaisg14oHgcrlmNp+SSpUuSSAikFkwn5/g3Y5cPMoaQkrEVNjtbhgG+1eRHCkkZEE760jOUbLANIoSYPD72svRCily7UOgeHj/Hm8/fJu/+MVP2GyXlFT7FYXC811ACkmUEhkCYzvhN37nd9j9yZ9ytmlAGi5eX9PZGcHvsYATgNTk7Ig5o3LCu8C4HVBa8/ufvuaLFVysPXuXkG2iNQ0n84bzqzWJ2umRRvH4wX2++dYT/vs//wHIjFVVw120xmhDiGNlx1Pz8iVJ/FgPxaY1RApKNMwmRyz8a2SOOAoiKZ48eof1fsH1es/3fvJz+tijqPIYpGQ9XvPlVy8waKTIDJst5/ElVglKisRYKh0DwXZ0KKUqoUwZCKFKnEKgZCjmYDYu1TSLjwipaLKmaQydmbDol/VrpkQQFiELKRa8c/WAWxIeQXaB7//sc9bbHV88fU0pntl0yr/77/yHvLm65A//5J/QiUI/jvVaPyeEACEsGstytarmWitppaKxE/pxQKpqm9TS1MhfqkhTURIpJ15dX/Pw4WO00igpiBHII23TMJnN+M47b/Nb71se3BH85NmCm9WOy6tlFRZqQ86enAOD25FLPWRI3dQyoII+9hhpOepO0VqxWF+RYuH05IyxZGCH1hKlO5yvB8DzN69rj+KwwQm+GpZLzhy1HQ9nEz5erXBJkKWkxIA0lpgKyTvMtGaFJfX7Tqp6u5qUPBQiDS46UhEE79BSsu0HZIQiFaenZzy6e48XL5+xHx2T6ZxNCPzh9/6c9djT6hpfioeyevL1M0IZizQW2x2Rhj3tZMqksWQCq97hN75G1Kxk2O9RCHQ9gmBtgzYS4+sNv4+Ftm3ROiGFwdgZ2/2OGHM9SAFaKIpKxFgIofbobMnIA8FKIQlOMpaB1zeRm922ui1yJqYtqiiyhf12Q9dMyWlNianGd5WhXy0Z/VgvCaczpIuQEgnJ/Ogu47CBnAk50Ice70ZiLpyc3sF7x49++BMKhmlr2O13SG2BdLBda/b9EmQtbxttK3pIweCqMC+FES1k9eCgSTkSiqub5CLQUjL22xp1TgWXI9OjKacnD2jshK+ef15z7FnghtoDkzJztVoCAqEF7bTlzszyjcf3+d5HTxnjiFSKlDwpJbQSlOCRpRIDc4qMMdBYjY+Vy26UAV0fAq1RlN0lC+9wbkN0A0JJZEjkAglFUpnnVxfMZ8d88skPMaZhGDJaK6bNHC/3uBLQMZOzREVBlPW/b4Uih8IQe1SWdMdnJDey2l2x3Cl8qSSky8untHbC/TsPiMow7Y55/O57TK3ErxfcrFeH90fg8vISuKno3BwpSjKZNqxd4h/+7v+KP/2j/5bF4hIjJI7av0neITMEQElDJDEETygH383fwPy1D/He7xndhoBElFglS0SErNxlrfRBYSuRIrAYbihFIaSHJPA5YxpBiZL51KBKQXlFQmKkANPy1t0zYo71ib9tSL5n3G7JIhNRWKnwPnFy9w7eedabDW/P53zj7IiPXihEjgg0vvSQ6hc6ZKTsSBGm8ynKnHIzvkBLy1g0oxghRo6splAYXeHoZMYs1Ub/NrlKJzAGD+R+jQ4eKQo5ZVAKm+v/fxRQwo4xJoxqsDJTkiORGcY1SgmSknz07ByhEka2/P2vv8Nnr294vr7GKsF2dcF2uGS922NFXcSBgZiZHU3wOuC8Q6tp/UXPI0UEJA0WUw9TpbD3PVM7RZj6Iy7eMGSHbVqitvRJc7XbsqWw3qyYWcvd1nAjYN9qcnQ8OH2b5c0No9+iTMU6hhCZ2RmhZNw4kntXJQk+slku2S7WCCUxKhNCqHZSZTCtRaqajwzRQ6xvAqM0Rmr6fgRhKAUGX28QyZllv8ctl8RSMaRZFJCKwTuEUszbhnuTOZ+/ekE3aQipxlt8SMQ4ICQoqRiCI7hM9lVqc+/+KW+uVqTgyIebA+cG0IJxDCAEUSq0AOd6UlEIrXCjp5GahODEav7B4xM+PO34b55d8mzwfPx8wav1Bl8iYewZxx3tZMq0mRPGHc8unvHug/tE73m+2xFCZmINsp3QTOe4cQ9uZAyRYi0KgSwGayUxJCSeiECRiaIcCD+BVnV4H0gFhMz1kBwKRhukTAxuRMaElaDbBikz2ceKMTtsq4QUFAouF15fvj5E0BTr/ZrOTJk1E0LoIQTc6EjRIaMkiTWxApsJ4nCYVoJvn81YThUvVnvm8xO2i2tCyUxmU7SwHHUNw27NZjsQUuF6saad2NpBkAU/9DRdx7DfoaRg9LnK0LTi/tTyv/nOh5hJx//1e5+zUgZzNONicU0ZIz7Eg9jLoKTAqppnLNGjW02RBYlku1nzvFR/hXc9phz+XlsoUSLIGAQxRHZuz+9/7y94tbghikS/XzFtjvjm+x/wlx//mOUwkmNEHw4/2lqKyGz2lzS20oo6e5fzmxtcyig7YfSZbtbyzfeecH29rtQtVQthX12/4dXq+vAlWPASjpujuj2MghRd/WtSISUY1RJLRClNGEeMkuQSuFmck0WVXkmpyCry6vocrQWCTIyZRreE7NnsrpBKYhHkUskvlIqWW20vMSikMvgYkaX2Y8bi0HLOt979Bi+vP6XfVStvUdTiuKqH47aZsF4tCFmgiyAk+Mb7v8Q33/86/9Xv/deU7MkxUmItxVlleeu9h7iYWdzcENPA6ekpz15c8fzlim9//QnXix3e7/n9/+n36MOGs/mcq6s1Q6i36UrpemOcq65eNAqi5KiZk3JiCBHaBlVqPMnlkZJK3U6NPUrXmzShBVeLK/abHaFmbmikRuTETAjunzacbwo/+OIrtluPli37wWGURUF9EMQQW4FJHTl4UkkczacIIsOQ8DHgS0Bkwd1Hb7G4fMNqt6abzSgkciq1iIlAS8vpnbcIoWe9vSLnQvQehEZIyZAyv3j5GmEMLlYr5j47jrDcf/CY1xcvESVirIYs0AK0Fbix0CrJ6CuNKqRqlg4l4gIo1YCqG9OhX7HaCPpQIwfjsKMAF4NHKI3AI4VCWUsaBnIRGC0rICEK0tgzn08ZVnuKVCSd0cKgrEGUREkRJVR9gNCWEAOagoxLFpuLivSUkmnTsdmtSdnjhwEhClJptJQE5zm9c49U4GZ5jelaohsZQ2IyOya4ahktMdFOjpnN7nC1eEMqBW0nNCIxnU9oJpbzVxcMo8cYKMaQEYx9wIsbXIw0jSXFCCGijCUERywNSltSDggi0deHC1Jks18iC6RS6rlKVqdDjIGcqpxMaIktljFVbrxW1RuShURZQYypvldzpCBJ/x9CoyREdeygKalSbdquIWd4cDzjcrGgs3uETBQEw+hRtiP6HmVr/EzragR2Q0R0La0yVUSYQVFjPUlUjGeJ9eEkU5ASpJFoKVCypQ8DR9MT3nvvWzx99nO82yGFxvULQk6cTlpyyaz2tdvYGUVMilIi3o1MbcOv/9J3+NEvfsbO7diFAZInpIyS1Q7vS72YEzkTValoVWFRnaXTht4P+H6gaI2eNMSbNa2xTDrDxfI1PtQi9v/z9/9bPnz4GCUSKgeEtDy8d8J2u2UzBEoOtG3D2I9s45pY4Mc//NPag0OwdwMG0LpF2gn92GMSUAJFSkw3gWFPLP5v5BAvSvnruV/vzWcEKlnGmoo4KmNCGkkKgTEk5o1l56rlTDYdytUDQjvpKDFjiIQkuDOdcL3fogoEFD7WmxxtDJRIP44cTef1xlSYw4qqP2jMYTZrkVmwjSNnRw1HSnG5rU84VmvGcYu1DVForKxCDGuOUbau6VLo2fuRWTNlzIFGKBQ1LtGPnpltaSYWSsu4H5G20JeICJHioWkF4+hoJxOGUA8vkoLKiVZbXMokU+/HclL4HGiUJxXJrJuxXW3AGqxQnE41m6GumkMMoGq+O6RaUEs5Y9opnTacHp2x2ayQwrAebhBCsPN7pmYKGZRqEaagG4sbBjTUm9jJBNuckkNE6T1Hpw/44L3H/PLX3qZpT3j55pzziws2ux3Li2vW4w5ZPPian1zte2xjmU0nrPqeI9tRomLRrykio7Xh0dld0ph5s7yiM4o+hcObWHF/cszFelXxWSnVBzhl8DlQSqREDg1uXYkDpcpt/sF3v8lnry/47MUFolT8qPcJJQwxCXLJzLuWadNxvd4hdMGoGs/gUKQSFDo1ofeuIraEIgPzRtCHWiSVRuMGh1Y1k56zQCpBRmJEXWOOuWb8pNCUBLIE/uE3v8bNmwtycnzW14x7KYVcCs2kYT8EtJJMmjnGTMhiIPQ9KUUEpWZpjUHpTO8SJ8dnjPst+dDSN61BJ8GvvPdNfvbFp7gCIezhgCFr24ZWaFwpxOLRWiKSYEwjWigQiqap8hZ9WL06P6KkhlIL0ZGANaZahRFYWfh7D8/46c2OqxAopR5gVMiYZg56wA8R2XTk3BNj5TPHkiDWh2hjJxhT+PbpjEU/8moInJ7cZXl9RcgJpQpkwfzkDtvVqm5ZBDRWMnhPozTFKKJzaC1xIdGolizrobGzhXvTjv/dv/dbhOj55GdveL3Z8F8+vcCJSNNOGIaBRmtKkRQqOlJmSWM1vQ8YM4EYySKitCWnQBFQUmUqS1PJBrJkvvXoCWfzU748v+ByGBjdhkYpipEUJ+gmFklkOwy0SjP6SvAyRmBVAxjee/9bXL75gpgk5IBqNd7Dfr+mm5mKoNv15FjLZVAwuTlQN3p0AyVmcj6Qt4piKB47mTLuB3JMzCctvXdIY6rMThQKEhkjUVSSC5RKHYl1EyHygf8sKoyv0qVqSX6z39OoasKUVtMByUqSrzZUI1tCSjTTKcPgK6ouDahcKnEqZ0oKyAOdJFKL8BUfFxG58PDBIzrT8ur1S2KOGGswssMXwdff/RYffuuX+PKTH/LZ81/Um9HgKcLw9oMH/PavfYs//dM/53ozcu/RHbb7DSlV62/OgrPjGRc3S+ykY+g93aRyyqVUxD7i0lgV9bMjhv2K+fSYoDzjfqhFdm1J3qHsBK0yR9PmcNj23J1Neff+nKvdyKQzPDmtlyqfvb5ivezBWjbrnkSmNbpyr2NiF3ra5pSYR3IZ0dJiRO2ahCyxdkLyDttoIpHkIhEoqXB8MkNJzWJRc85vv/NNch6Ifke/37Ib9iA1qgja+ZxhcLVX4CKiJLKAWddhdcfW7WlMfd+qJJm0DfPW8t47p/zFJ69QwrJzQz0U5kpBAwFGIayqdvAiEDFSlMK7A0FMFEpKaGWR0mJsy7xtWC1vkKJQNEipEEje+eAbKL/h4sUl7fw+fdkx7LcY02G1Zb25RiDqBk5rrJlSwp637r6PbjXPr17gxkQnBDElYg64mFFaIUUiJUhF0rRV1pdKQghTu0UiINHcPTlm2C3ZxVjlcgVC9NgskfM7/Mo3fp3PvvwF0ha2ywWns4es+wtSGHh4dMrde2d88vwrfASo0VClJxAHxmFfhWKHDYCxkqqakqRUuxdGGmKJdZ8mJEdHx6QMzjtKrpAOtIawp2snvHX/Q96sLtltLigIYgKpCroxRB8QRWFMhYv4SL04LBmhTN3XyYTMgq7VbPYDRega7RIgciFJRUO90RYChEoQCymBMooTM6UPjiE6bGcJw4iQCmQ9awhVKEVghAFZ/zmNppS6fZtMjsg5EdOe7TAysy0nx8f85jee8PL8go9fXnPv9B7X6z3B9wiTGV3G2JbWSAbfU5B1owOUYsh5rPjNAjkL6he0oGmniJiIh45VCq5GiWJBp7oZppRKkROStpkSYqjbHtEgi2O/d8i24XRq2K72DAIOPzzGMDBvOnajQxZZqX1SoY2mqAy+IA6xH0FF4GalycNIkor9fkNK4f/rufuvczz/ax/ib+d2bud2bud2bud2bud2buf/P0b+//p/4HZu53Zu53Zu53Zu53Zu53b+583tIf52bud2bud2bud2bud2budv2dwe4m/ndm7ndm7ndm7ndm7ndv6Wze0h/nZu53Zu53Zu53Zu53Zu52/Z3B7ib+d2bud2bud2bud2bud2/pbN7SH+dm7ndm7ndm7ndm7ndm7nb9ncHuJv53Zu53Zu53Zu53Zu53b+ls3tIf52bud2bud2bud2bud2budv2dwe4m/ndm7ndm7ndm7ndm7ndv6Wzf8LHYx31AoUOUIAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1500x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "## ZOOM IN AGAIN OVER AN EVEN SMALLER REGION\n",
+    "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(15, 10))\n",
+    "plt.subplots_adjust(hspace=0.01)\n",
+    "\n",
+    "## SHOW LS IMAGE (screenshot pre-made but could instead implement image cutout)\n",
+    "im = plt.imread('LS_view_LSS.jpg')\n",
+    "ax1.imshow(im)\n",
+    "ax1.axis('off')\n",
+    "\n",
+    "im = plt.imread('Rubin_view_LSS.jpg')\n",
+    "ax2.imshow(im)\n",
+    "ax2.axis('off')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The left-hand panel shows the small region enclosed in the blue rectangle that we chose above (right-hand panel). The galaxies in black are in the same narrow redshift slice as defined previously (0.105 < *z* < 0.125). The right-hand panel is an image cutout of the same region of the sky from the [LS sky viewer](https://legacysurvey.org/viewer?ra=128.7040&dec=8.8439&zoom=13&layer=ls-dr10). The galaxies encircled correspond to the points in black, and some or perhaps most of them likely belong to a galaxy cluster."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## NOTE: May replace this with the Tractor color as a way to select the Spectra to retrieve with SPARCL\n",
+    "## Large-Scale Structures with LS Morphologies\n",
+    "\n",
+    "There are many possible extensions to this work. For instance, one could plot again with symbols coded with object *type* (from LS) and/or *class* (from SDSS) and/or velocity dispersion (from SDSS) and/or other quantities. Here, we will start with the object \"TYPE\" from LS, related to the morphological shapes. \n",
+    "\n",
+    "The object shape (2D light profile) is modeled by [the Tractor](http://thetractor.org) ([Lang, Hogg & Mykytyn](http://adsabs.harvard.edu/abs/2016ascl.soft04008L)) as part of the procedure to compute model photometry.\n",
+    "\n",
+    "Possible shapes for [LS DR10 Morphological Classification](https://www.legacysurvey.org/dr10/description/#morphological-classification):\n",
+    "<ul>\n",
+    "<li>PSF (point spread function: size will vary with the seeing of the observations)</li>\n",
+    "<li>REX (“round exponential” galaxies with a variable effective radius)</li>\n",
+    "<li>EXP (exponential profile; spiral galaxies)</li>\n",
+    "<li>DEV (deVaucouleurs profile; elliptical galaxies)</li>\n",
+    "<li>SER (Sersic profile)</li>\n",
+    "<li>DUP (set for Gaia sources duplicated by an extended source -- for information only, no flux)</li>\n",
+    "</ul>\n",
+    "\n",
+    "<figure>\n",
+    "<img src=\"Gals_Qso.jpg\", align=\"left\", width=600>\n",
+    "<figcaption>Figure: Images of galaxies including a nearby elliptical galaxy, a nearby spiral galaxy, and a QSO.</figcaption>\n",
+    "</figure>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-23T04:45:29.669764Z",
+     "iopub.status.busy": "2025-07-23T04:45:29.669524Z",
+     "iopub.status.idle": "2025-07-23T04:45:29.877739Z",
+     "shell.execute_reply": "2025-07-23T04:45:29.877287Z",
+     "shell.execute_reply.started": "2025-07-23T04:45:29.669749Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x650 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Select redshift slice\n",
+    "rz = (result['z'] >0.105) & (result['z']<0.125)\n",
+    "\n",
+    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 6.5))\n",
+    "\n",
+    "# plot all points in red (all redshifts)\n",
+    "ax1.scatter(result['plug_ra'],result['plug_dec'],s=3,color='r',marker='o',alpha=0.25)\n",
+    "\n",
+    "# overplot in black objects in narrow redshift slice\n",
+    "ax1.scatter(result['plug_ra'][rz],result['plug_dec'][rz],s=10,color='black')\n",
+    "\n",
+    "ax1.axis([xmin, xmax, ymin, ymax])\n",
+    "ax1.set_xlim(reversed(ax1.set_xlim())) # flip the x-axis\n",
+    "ax1.set_xlabel(\"RA (degrees)\", fontsize=20)\n",
+    "ax1.set_ylabel(\"Dec (degrees)\", fontsize=20)\n",
+    "\n",
+    "\n",
+    "# Select redshift slice and per morphological type\n",
+    "\n",
+    "# DEV or early type Sersic with steep index Sersic>=3\n",
+    "rdev = np.where(((result['type']=='DEV')|((result['type']=='SER')&(result['sersic']>=3))) & rz)\n",
+    "# EXP or late type Sersic with index Sersic<2\n",
+    "rexp = np.where(((result['type']=='EXP')|((result['type']=='SER')&(result['sersic']<2))) & rz)\n",
+    "# Intermediate with 2<= Sersic < 3\n",
+    "rint = np.where(((result['type']=='SER')&(result['sersic']>=2)&(result['sersic']<3)) & rz)\n",
+    "\n",
+    "# plot all points in red (all redshifts)\n",
+    "ax2.scatter(result['plug_ra'],result['plug_dec'],s=3,color='gray',marker='o',alpha=0.25)\n",
+    "\n",
+    "# overplot in objects in narrow redshift slice color-coded blue (EXP or Late type) or red (DEV or Early type)\n",
+    "ax2.scatter(result['plug_ra'][rexp],result['plug_dec'][rexp],s=15,color='b')         # blue = EXP or late-type Sersic\n",
+    "ax2.scatter(result['plug_ra'][rint],result['plug_dec'][rint],s=15,color='orange')    # orange = Intermediate\n",
+    "ax2.scatter(result['plug_ra'][rdev],result['plug_dec'][rdev],s=15,color='r')         # red = DEV or early-type Sersic\n",
+    "\n",
+    "plt.axis([xmin, xmax, ymin, ymax])\n",
+    "plt.xlim(reversed(plt.xlim())) # flip the x-axis\n",
+    "plt.xlabel(\"RA (degrees)\", fontsize=20)\n",
+    "plt.ylabel(\"Dec (degrees)\", fontsize=20)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "<a class=\"anchor\" id=\"exercise\"></a>\n",
+    "## EXERCISE: Large-Scale Structures with Galaxy Colors\n",
+    "\n",
+    "There are pre-computed colors available. The columns are described here:\n",
+    "https://datalab.noirlab.edu/query.php?name=ls_dr10.tractor\n",
+    "\n",
+    "Another possibility would be to plot again the galaxies spatial coordinates, but color-coded according to their photometric colors. This is left as an exercise for the user, but feel free to get in touch with the Astro Data Lab Team if you have questions."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "<a class=\"anchor\" id=\"3d_plot\"></a>\n",
+    "# Large scale structure in 3D\n",
+    "\n",
+    "We can explore filaments and clusters of galaxies better if we can plot them in 3D. We turn to a different area of the sky, and will query for a sample of SDSS galaxies in the near to slightly distant universe, and plot in 3D the cone containing them. To avoid conamination by the galactic plane of the Milky Way, we point our search cone at high galactic latitudes."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "### Data query and preparation\n",
+    "We select (mostly) SDSS galaxies within a 10-degree radius around a high galactic latitude direction, (ra,dec) = (160,45) degrees. We limit our search to positive redshifts between 0.02 and 0.3."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-29T00:05:12.421254Z",
+     "iopub.status.busy": "2025-07-29T00:05:12.421015Z",
+     "iopub.status.idle": "2025-07-29T00:05:12.424780Z",
+     "shell.execute_reply": "2025-07-29T00:05:12.424344Z",
+     "shell.execute_reply.started": "2025-07-29T00:05:12.421238Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "SELECT mean_fiber_ra AS ra, mean_fiber_dec AS dec, z \n",
+      "  FROM desi_dr1.zpix\n",
+      "WHERE q3c_radial_query(mean_fiber_ra,mean_fiber_dec,185,5.25,10)\n",
+      "AND z between 0.02 AND 0.3\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create the query to fetch the SDSS data from Data Lab:\n",
+    "# Create the query to fetch the DESI data from Data Lab:\n",
+    "\n",
+    "query = \"\"\"\n",
+    "SELECT mean_fiber_ra AS ra, mean_fiber_dec AS dec, z \n",
+    "  FROM desi_dr1.zpix\n",
+    "WHERE q3c_radial_query(mean_fiber_ra,mean_fiber_dec,%s,%s,%s)\n",
+    "AND z between 0.02 AND 0.3\n",
+    "\"\"\" % (185,5.25,10)\n",
+    "\n",
+    "#   WHERE z>0.001 AND mean_fiber_ra BETWEEN {ra_min} AND {ra_max} AND mean_fiber_dec BETWEEN {dec_min} AND {dec_max}  \n",
+    "#  LIMIT 100000\"\"\")\n",
+    "#\"\"\" % (186,9.5,10)\n",
+    "\n",
+    "#query = \"\"\"\n",
+    "#SELECT ra,dec,z\n",
+    "#FROM sdss_dr17.specobj\n",
+    "#WHERE q3c_radial_query(ra,dec,%s,%s,%s)\n",
+    "#AND z between 0.02 AND 0.3\n",
+    "#\"\"\" % (186,9.5,10)\n",
+    "#\"\"\" % (160,45,10)\n",
+    "\n",
+    "print (query)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run the query to fetch the SDSS data from the `ls_dr17.specobj` table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-29T00:05:15.162069Z",
+     "iopub.status.busy": "2025-07-29T00:05:15.161844Z",
+     "iopub.status.idle": "2025-07-29T00:05:20.139897Z",
+     "shell.execute_reply": "2025-07-29T00:05:20.139125Z",
+     "shell.execute_reply.started": "2025-07-29T00:05:15.162054Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "selection = qc.query(adql=query, fmt='csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Reformat output into a table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-29T00:05:24.907093Z",
+     "iopub.status.busy": "2025-07-29T00:05:24.906437Z",
+     "iopub.status.idle": "2025-07-29T00:05:25.025770Z",
+     "shell.execute_reply": "2025-07-29T00:05:25.025229Z",
+     "shell.execute_reply.started": "2025-07-29T00:05:24.907068Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Number of galaxies in the sample: 173234\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=5</i>\n",
+       "<table id=\"table140404765838880\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>ra</th><th>dec</th><th>z</th></tr></thead>\n",
+       "<thead><tr><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
+       "<tr><td>178.1517656340166</td><td>-2.032350528805415</td><td>0.1655988199727016</td></tr>\n",
+       "<tr><td>178.1607264311103</td><td>-2.045211476239927</td><td>0.275574648902657</td></tr>\n",
+       "<tr><td>178.2085468408245</td><td>-2.062092926240174</td><td>0.06363064085304651</td></tr>\n",
+       "<tr><td>178.2022630356776</td><td>-2.051828033949948</td><td>0.2244029627184144</td></tr>\n",
+       "<tr><td>178.1892415547283</td><td>-2.029568867814953</td><td>0.2065221729405804</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=5>\n",
+       "        ra               dec                  z         \n",
+       "     float64           float64             float64      \n",
+       "----------------- ------------------ -------------------\n",
+       "178.1517656340166 -2.032350528805415  0.1655988199727016\n",
+       "178.1607264311103 -2.045211476239927   0.275574648902657\n",
+       "178.2085468408245 -2.062092926240174 0.06363064085304651\n",
+       "178.2022630356776 -2.051828033949948  0.2244029627184144\n",
+       "178.1892415547283 -2.029568867814953  0.2065221729405804"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = Table.read(selection, format='csv')  #Astropy Table\n",
+    "print(\"Number of galaxies in the sample: %d\" % len(data))\n",
+    "data[:5]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "Compute luminosity distance for every galaxy, using [Planck2018 cosmology](https://ui.adsabs.harvard.edu/abs/2020A%26A...641A...6P/abstract) values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-29T00:05:29.445164Z",
+     "iopub.status.busy": "2025-07-29T00:05:29.444941Z",
+     "iopub.status.idle": "2025-07-29T00:05:30.406999Z",
+     "shell.execute_reply": "2025-07-29T00:05:30.406402Z",
+     "shell.execute_reply.started": "2025-07-29T00:05:29.445150Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/latex": [
+       "$[821.33803,~1453.7448,~295.37354,~\\dots,~381.30451,~444.13452,~1494.9436] \\; \\mathrm{Mpc}$"
+      ],
+      "text/plain": [
+       "<Quantity [ 821.33802884, 1453.74480196,  295.37353851, ...,  381.3045116 ,\n",
+       "            444.13452435, 1494.94355875] Mpc>"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dist = cosmo.luminosity_distance(data['z'])\n",
+    "dist"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To plot the positions of each galaxy in true 3D space, we will convert the angular coordinates ra & dec, and the distance coordinate, to Cartesian coordinates X,Y,Z (all measured in Mpc from the coordinate system origin)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-29T00:05:42.192749Z",
+     "iopub.status.busy": "2025-07-29T00:05:42.192538Z",
+     "iopub.status.idle": "2025-07-29T00:05:42.196492Z",
+     "shell.execute_reply": "2025-07-29T00:05:42.196047Z",
+     "shell.execute_reply.started": "2025-07-29T00:05:42.192735Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "def get_cartesian(ra,dec,dist):\n",
+    "    # convert ra and dec to radians, since numpy expects this as arguments to trigonometric functions\n",
+    "    rarad = np.radians(ra)\n",
+    "    decrad = np.radians(dec)\n",
+    "    X = dist * np.sin(decrad) * np.cos(rarad)\n",
+    "    Y = dist * np.sin(decrad) * np.sin(rarad)\n",
+    "    Z = dist * np.cos(decrad)\n",
+    "    return X,Y,Z"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-29T00:05:45.026826Z",
+     "iopub.status.busy": "2025-07-29T00:05:45.026628Z",
+     "iopub.status.idle": "2025-07-29T00:05:45.040421Z",
+     "shell.execute_reply": "2025-07-29T00:05:45.039952Z",
+     "shell.execute_reply.started": "2025-07-29T00:05:45.026814Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "X,Y,Z = get_cartesian(data['ra'],data['dec'],dist)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "### Plotting in 3D\n",
+    "To create an interactive 3D plot (one where we can zoom, pan, and rotate the scene), we will use the plotly package. The galaxies in our sample will be plotted using a 3D scatter routine. We also set some overall properties of the plot, such as the size of the markers, and a color map (we color each galaxy redder the further away it is)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-29T00:05:49.295707Z",
+     "iopub.status.busy": "2025-07-29T00:05:49.295484Z",
+     "iopub.status.idle": "2025-07-29T00:05:49.299711Z",
+     "shell.execute_reply": "2025-07-29T00:05:49.299261Z",
+     "shell.execute_reply.started": "2025-07-29T00:05:49.295693Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "trace = go.Scatter3d(\n",
+    "    x = X,\n",
+    "    y = Y,\n",
+    "    z = Z,\n",
+    "    mode = 'markers',\n",
+    "    marker = {\n",
+    "        'size'      : 0.7,\n",
+    "        'opacity'   : 0.5,\n",
+    "        'color'     : dist, \n",
+    "        'colorscale': 'OrRd'\n",
+    "    }\n",
+    ")\n",
+    "\n",
+    "data = [trace]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "Next, we define camera location and the layout of the plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-07-29T00:05:54.432859Z",
+     "iopub.status.busy": "2025-07-29T00:05:54.432639Z",
+     "iopub.status.idle": "2025-07-29T00:05:54.438444Z",
+     "shell.execute_reply": "2025-07-29T00:05:54.438024Z",
+     "shell.execute_reply.started": "2025-07-29T00:05:54.432846Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# set up the view point\n",
+    "camera = dict(\n",
+    "    up = dict(x = 0, y = 0, z = 1),\n",
+    "    center = dict(x = 0.2, y = 0, z = 0),\n",
+    "    eye = dict(x = 0.6, y = -0.6, z = -1.0)\n",
+    ")\n",
+    "\n",
+    "# set up the plot scene\n",
+    "layout = go.Layout(\n",
+    "    scene = dict(\n",
+    "        xaxis = dict(title = 'X',\n",
+    "                     backgroundcolor = 'black',\n",
+    "                     gridcolor = \"rgb(40,40,40)\"),\n",
+    "        yaxis = dict(title = 'Y',\n",
+    "                     backgroundcolor = 'black',\n",
+    "                     gridcolor = \"rgb(40,40,40)\"),\n",
+    "        zaxis = dict(title = 'Z',\n",
+    "                     backgroundcolor = 'black',\n",
+    "                     gridcolor = \"rgb(40,40,40)\"),\n",
+    "    ),\n",
+    "        scene_camera = camera,\n",
+    "        plot_bgcolor = 'black',\n",
+    "        paper_bgcolor = 'black',\n",
+    "        title = None,\n",
+    "        showlegend = False,\n",
+    "        width = 800,\n",
+    "        height = 800,\n",
+    "        autosize = False,\n",
+    "        margin = {'l':0, 'r':0, 'b':0, 't':0},\n",
+    "        dragmode = 'orbit'\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Draw the plot\n",
+    "plot_figure = go.Figure(data=data, layout=layout)\n",
+    "plot_figure.update_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Explore the scene by:\n",
+    "- **Zooming in and out** (mouse scroll wheel up/down, or click mouse middle button and move mouse up/down, or select \"zoom\" mode via button in upper-right corner & left-click + drag mouse)\n",
+    "- **Panning left/right and up/down** (click mouse left button and drag)\n",
+    "- **Change pan/rotate mode** by selecting one of the buttons in the upper-right corner of the plot (pan, orbital rotation, turntable rotation)\n",
+    "\n",
+    "Observe how the galaxies form compact groups and clusters, and on larger scales form huge filaments. This is the large scale structure of the universe. In details, we can also notice some elongation along the direction of redshift due to [redshift space distortions](https://en.wikipedia.org/wiki/Redshift-space_distortions). "
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python 3 (DL,Py3.10.13)",
+   "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": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}