/*! kwasm 0.3.1 | GPL-3.0 | Source: https://github.com/doplaydo/kwasm */
/*! Bundled third-party notices:
The MIT License

Copyright © 2010-2023 three.js authors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.


Fonticons, Inc. (https://fontawesome.com)

--------------------------------------------------------------------------------

Font Awesome Free License

Font Awesome Free is free, open source, and GPL friendly. You can use it for
commercial projects, open source projects, or really almost whatever you want.
Full Font Awesome Free license: https://fontawesome.com/license/free.

--------------------------------------------------------------------------------

# Icons: CC BY 4.0 License (https://creativecommons.org/licenses/by/4.0/)

The Font Awesome Free download is licensed under a Creative Commons
Attribution 4.0 International License and applies to all icons packaged
as SVG and JS file types.

--------------------------------------------------------------------------------

# Fonts: SIL OFL 1.1 License

In the Font Awesome Free download, the SIL OFL license applies to all icons
packaged as web and desktop font files.

Copyright (c) 2023 Fonticons, Inc. (https://fontawesome.com)
with Reserved Font Name: "Font Awesome".

This Font Software is licensed under the SIL Open Font License, Version 1.1.
This license is copied below, and is also available with a FAQ at:
http://scripts.sil.org/OFL

SIL OPEN FONT LICENSE
Version 1.1 - 26 February 2007

PREAMBLE
The goals of the Open Font License (OFL) are to stimulate worldwide
development of collaborative font projects, to support the font creation
efforts of academic and linguistic communities, and to provide a free and
open framework in which fonts may be shared and improved in partnership
with others.

The OFL allows the licensed fonts to be used, studied, modified and
redistributed freely as long as they are not sold by themselves. The
fonts, including any derivative works, can be bundled, embedded,
redistributed and/or sold with any software provided that any reserved
names are not used by derivative works. The fonts and derivatives,
however, cannot be released under any other type of license. The
requirement for fonts to remain under this license does not apply
to any document created using the fonts or their derivatives.

DEFINITIONS
"Font Software" refers to the set of files released by the Copyright
Holder(s) under this license and clearly marked as such. This may
include source files, build scripts and documentation.

"Reserved Font Name" refers to any names specified as such after the
copyright statement(s).

"Original Version" refers to the collection of Font Software components as
distributed by the Copyright Holder(s).

"Modified Version" refers to any derivative made by adding to, deleting,
or substituting — in part or in whole — any of the components of the
Original Version, by changing formats or by porting the Font Software to a
new environment.

"Author" refers to any designer, engineer, programmer, technical
writer or other person who contributed to the Font Software.

PERMISSION & CONDITIONS
Permission is hereby granted, free of charge, to any person obtaining
a copy of the Font Software, to use, study, copy, merge, embed, modify,
redistribute, and sell modified and unmodified copies of the Font
Software, subject to the following conditions:

1) Neither the Font Software nor any of its individual components,
in Original or Modified Versions, may be sold by itself.

2) Original or Modified Versions of the Font Software may be bundled,
redistributed and/or sold with any software, provided that each copy
contains the above copyright notice and this license. These can be
included either as stand-alone text files, human-readable headers or
in the appropriate machine-readable metadata fields within text or
binary files as long as those fields can be easily viewed by the user.

3) No Modified Version of the Font Software may use the Reserved Font
Name(s) unless explicit written permission is granted by the corresponding
Copyright Holder. This restriction only applies to the primary font name as
presented to the users.

4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
Software shall not be used to promote, endorse or advertise any
Modified Version, except to acknowledge the contribution(s) of the
Copyright Holder(s) and the Author(s) or with their explicit written
permission.

5) The Font Software, modified or unmodified, in part or in whole,
must be distributed entirely under this license, and must not be
distributed under any other license. The requirement for fonts to
remain under this license does not apply to any document created
using the Font Software.

TERMINATION
This license becomes null and void if any of the above conditions are
not met.

DISCLAIMER
THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
OTHER DEALINGS IN THE FONT SOFTWARE.

--------------------------------------------------------------------------------

# Code: MIT License (https://opensource.org/licenses/MIT)

In the Font Awesome Free download, the MIT license applies to all non-font and
non-icon files.

Copyright 2023 Fonticons, Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in the
Software without restriction, including without limitation the rights to use, copy,
modify, merge, publish, distribute, sublicense, and/or sell copies of the Software,
and to permit persons to whom the Software is furnished to do so, subject to the
following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

--------------------------------------------------------------------------------

# Attribution

Attribution is required by MIT, SIL OFL, and CC BY licenses. Downloaded Font
Awesome Free files already contain embedded comments with sufficient
attribution, so you shouldn't need to do anything additional when using these
files normally.

We've kept attribution comments terse, so we ask that you do not actively work
to remove them from files, especially code. They're a great way for folks to
learn about Font Awesome.

--------------------------------------------------------------------------------

# Brand Icons

All brand icons are trademarks of their respective owners. The use of these
trademarks does not indicate endorsement of the trademark holder by Font
Awesome, nor vice versa. **Please do not use brand logos for any purpose except
to represent the company, product, or service to which they refer.**

*/
var Kwasm=(()=>{var xl=Object.defineProperty;var mm=Object.getOwnPropertyDescriptor;var gm=Object.getOwnPropertyNames;var ym=Object.prototype.hasOwnProperty;var Tu=(s,e)=>{for(var t in e)xl(s,t,{get:e[t],enumerable:!0})},_m=(s,e,t,n)=>{if(e&&typeof e=="object"||typeof e=="function")for(let i of gm(e))!ym.call(s,i)&&i!==t&&xl(s,i,{get:()=>e[i],enumerable:!(n=mm(e,i))||n.enumerable});return s};var xm=s=>_m(xl({},"__esModule",{value:!0}),s);var xM={};Tu(xM,{mount:()=>yM,protocolVersion:()=>gM,version:()=>mM});function Au({canvas:s,clearTimeout:e,engine:t,renderState:n,setTimeout:i,view:r}){function o(){let h=s.parentElement;var f=h.clientWidth,p=h.clientHeight,m=f*p;if(m>4e6){var g=Math.sqrt(4e6/m);f=Math.floor(f*g),p=Math.floor(p*g)}return{w:f,h:p}}async function l(){var h=o(),f=h.w,p=h.h;s.style.width="",s.style.height="",s.width=f,s.height=p,r.initialized&&t.resize&&await t.resize(f,p)}function c(){n._interacting=!0,n._interactionTimer!==null&&e(n._interactionTimer),n._interactionTimer=i(function(){n._interacting=!1},n.INTERACTION_IDLE_MS)}return{_markInteraction:c,resizeCanvas:l}}function Cu({engine:s,getViewportBox:e,root:t,view:n,sceneState:i,work:r}){var a={panUp:"ArrowUp",panDown:"ArrowDown",panLeft:"ArrowLeft",panRight:"ArrowRight",zoomIn:"Enter",zoomOut:"Shift+Enter",showMenu:"?"},o=Object.assign({},a);(function(){try{Object.assign(o,JSON.parse(localStorage.getItem("kwasm-keyboard-shortcuts")||"{}"))}catch{}t.querySelectorAll("[data-shortcut]").forEach(function(y){var u=y.dataset.shortcut;y.value=o[u],y.addEventListener("keydown",function(d){if(d.preventDefault(),d.stopPropagation(),d.key==="Escape"){y.blur();return}if(["Shift","Control","Alt","Meta"].indexOf(d.key)===-1){o[u]=l(d),y.value=o[u];try{localStorage.setItem("kwasm-keyboard-shortcuts",JSON.stringify(o))}catch{}}})})})();function l(y){var u=[];return y.ctrlKey&&u.push("Ctrl"),y.altKey&&u.push("Alt"),y.shiftKey&&u.push("Shift"),y.metaKey&&u.push("Meta"),u.push(y.key===" "?"Space":y.key),u.join("+")}function c(y){var u=t.getElementById("shortcuts-menu");if(u){var d=typeof y=="boolean"?y:!u.classList.contains("open");u.classList.toggle("open",d),u.querySelector(".shortcuts-toggle").setAttribute("aria-expanded",String(d))}}function h(){o=Object.assign({},a);try{localStorage.removeItem("kwasm-keyboard-shortcuts")}catch{}t.querySelectorAll("[data-shortcut]").forEach(function(y){y.value=o[y.dataset.shortcut]})}function f(y){var u=y.target;return!u||!/^(INPUT|TEXTAREA|SELECT)$/.test(u.tagName)}async function p(y){var u=await e();if(u){var d=(u.l+u.r)/2,_=(u.b+u.t)/2;await s.zoomBox(d+(u.l-d)*y,_+(u.b-_)*y,d+(u.r-d)*y,_+(u.t-_)*y)}}function m(y){var u=i.instance;if(!u)return!1;var d=u.camera.position.distanceTo(u.controls.target)*.1;if(y==="zoomIn"||y==="zoomOut"){var _=y==="zoomIn"?.8:1.25;u.camera.position.sub(u.controls.target).multiplyScalar(_).add(u.controls.target)}else{var x=u.camera.getWorldDirection(new u.THREE.Vector3),v=new u.THREE.Vector3().crossVectors(x,u.camera.up).normalize(),A=new u.THREE.Vector3().crossVectors(v,x).normalize(),w=y==="panLeft"?v.multiplyScalar(-d):y==="panRight"?v.multiplyScalar(d):y==="panUp"?A.multiplyScalar(d):A.multiplyScalar(-d);u.camera.position.add(w),u.controls.target.add(w)}return u.controls.update(),!0}function g(y){if(!f(y))return!1;var u=l(y),d=Object.keys(o).find(function(_){return o[_]===u});return d?(y.preventDefault(),d==="showMenu"?(c(),!0):(r.background(async()=>{if(!(n.viewMode==="3d"&&m(d)))if(d==="zoomIn")await p(.8);else if(d==="zoomOut")await p(1.25);else{var _=await e();if(!_)return!0;var x=(_.r-_.l)*.1,v=(_.t-_.b)*.1,A=d==="panLeft"?-x:d==="panRight"?x:0,w=d==="panDown"?-v:d==="panUp"?v:0;await s.zoomBox(_.l+A,_.b+w,_.r+A,_.t+w)}}),!0)):!1}return{handleKwasmShortcut:g,resetKeyboardShortcuts:h,toggleShortcutsMenu:c}}function Ru({ctx:s,renderState:e}){return{onPixels:function(n,i,r){if(e.firstPixel||(performance.mark("kwasm:first_pixel"),e.firstPixel=!0),s.putImageData(new ImageData(n,i,r),0,0),e.frameSequence=(e.frameSequence||0)+1,e.firstPixel&&!e.firstPaint){performance.mark("kwasm:first_paint"),e.firstPaint=!0;var a=e.timings,o=performance.getEntriesByType("mark").filter(function(l){return l.name.startsWith("kwasm:")});o.forEach(function(l){a[l.name]=Math.round(l.startTime)}),console.log("[kwasm:perf]",JSON.stringify(a))}}}}function di(s,e,t,n){let i=e.getBoundingClientRect(),r=e.clientWidth,a=e.clientHeight,o=Math.min(8,r/4,a/4);s.style.maxWidth=Math.max(0,r-o*2)+"px",s.style.maxHeight=Math.max(0,a-o*2)+"px";let l=(t-i.left)/(i.width/r||1),c=(n-i.top)/(i.height/a||1);s.style.left=Math.max(o,Math.min(l,r-s.offsetWidth-o))+"px",s.style.top=Math.max(o,Math.min(c,a-s.offsetHeight-o))+"px"}function Pu({canvas:s,coordOverlay:e,drawing:t,dropHint:n,engine:i,events:r,getViewportBox:a,hierDepthApplyLoaded:o,instanceOverlay:l,renderLayers:c,renderState:h,requestAnimationFrame:f,requestIdleCallback:p,root:m,setTimeout:g,updateTopCellMeta:y,view:u,work:d}){let _=0,x=function(M,S){t.lastLayoutX=M,t.lastLayoutY=S,e.textContent=M.toFixed(3)+", "+S.toFixed(3),e.classList.add("visible");let N=++_;d.background(async()=>{if(!(N!==_||!u.initialized)&&u.layoutLoaded){if(u.danglingPortsVisible){var P=await i.viewportMeanUm()/100,R=await i.findNearestDanglingPort(M,S,P);if(R)try{var C=JSON.parse(R),I=C.instance?C.instance+":"+C.name:C.name;l.textContent=I+" [dangling]",di(l,s.parentElement,t.lastClientX+14,t.lastClientY+18),l.classList.add("visible");return}catch{}}var B=await i.findNearestInstance(M,S);if(B){var I=B;if(u.infoVisible){var H=await i.instanceMetaAt(M,S);H&&(I+=`
`+H)}l.textContent=I,l.style.whiteSpace="pre",di(l,s.parentElement,t.lastClientX+14,t.lastClientY+18),l.classList.add("visible");return}l.classList.remove("visible")}},"hover-query")};async function v(){u.layoutLoaded&&await i.showHoverBbox(t.lastLayoutX,t.lastLayoutY)}function A(){if(i.prepareNetlistMatches){var M=()=>d.background(()=>i.prepareNetlistMatches(),"netlist");window.requestIdleCallback?p(M,{timeout:3e3}):g(M,200)}}return{clearNetlistPresentation:function(){var M=m.getElementById("netlist-badge");M&&(M.textContent="netlist",M.classList.remove("visible"))},onMouseIdle:v,scheduleNetlistMatching:A,onLoaded:function(M){if(performance.mark("kwasm:layout_loaded"),u.layoutLoaded=!0,n.style.display="none",u.latestLayers=M||[],c(M),d.background(y,"top-metadata"),g(()=>d.background(o,"hierarchy-depth"),0),!h.loopStarted){let N=function(I,B){var H=Math.abs(I.r-I.l)*1e-4+1e-9;return Math.abs(I.l-B.l)>H||Math.abs(I.r-B.r)>H||Math.abs(I.t-B.t)>H||Math.abs(I.b-B.b)>H},P=function(I){var B=h.renderedViewport,H=s.clientWidth,X=s.clientHeight,V=B.r-B.l,W=I.t-I.b,Y=I.r-I.l;if(!(Y<=0||W<=0||V<=0)){var te=V/Y,G=(B.t-B.b)/W,$=H*(B.l-I.l)/Y,ae=X*(I.t-B.t)/W;s.style.transformOrigin="0 0",s.style.transform="translate("+$+"px,"+ae+"px) scale("+te+","+G+")"}},C=function(){f(I=>{d.submit(()=>R(I),"frame").then(C,d.report)})};h.loopStarted=!0;var S=0;h.renderedViewport=null;async function R(I){try{if(i.timer&&u.viewMode==="2d"&&!h.capturing){var B=!1;if(h.freezeDuringZoom&&h._interacting&&h.renderedViewport){i.process&&await i.process();var H=await a();H&&N(H,h.renderedViewport)&&(P(H),B=!0)}if(!B&&I>=S){var X=performance.now(),V=h.frameSequence||0;await i.timer(),h._lastRenderMs=performance.now()-X,h._lastRenderMs>32&&(S=I+Math.min(h._lastRenderMs*.5,100)),s.style.transform&&(s.style.transform=""),h.renderedViewport=await a(),(h.frameSequence||0)>V&&h.renderedViewport&&r.dispatchEvent(new CustomEvent("kwasm:frame-rendered",{detail:{sequence:h.frameSequence,viewport:{left:h.renderedViewport.l,bottom:h.renderedViewport.b,right:h.renderedViewport.r,top:h.renderedViewport.t},canvas:{width:s.width,height:s.height,devicePixelRatio:window.devicePixelRatio||1}}}))}}}catch(W){h.errorLogged||(h.errorLogged=!0,console.error("[kwasm] render loop error (continuing):",W))}}C()}A()},onMouseCoords:x,onNetlistLoaded:function(M,S){var N=m.getElementById("netlist-badge");N&&(N.textContent="netlist ("+M+"/"+S+")",N.classList.add("visible"))}}}function Jr(s){let e=[];for(let t of new Set(s))try{t.dispose()}catch(n){e.push(n)}if(e.length)throw new AggregateError(e,"Scene resource cleanup failed")}function Lu(s,e,t){let n=new Set;for(let[i,r]of Object.entries(e))r.traverse(a=>{a.geometry&&n.add(a.geometry);for(let o of[a.material].flat())o&&n.add(o)}),s.remove(r),delete e[i];for(let i of Object.keys(t))delete t[i];Jr(n)}function Iu(s,e,t){Jr([{dispose:s},e,t,{dispose:()=>t.forceContextLoss()}])}function Du({engine:s,life:e,root:t,sceneState:n,showToast:i}){function r(T){for(var M=0,S=0;S<T.length;S++){var N=T[S],P=T[(S+1)%T.length];M+=N.x*P.y-P.x*N.y}return M*.5}function a(T,M){var S=T.slice(),N=r(S)>0;return N!==M&&S.reverse(),S}function o(T,M,S,N){for(var P=S[N],R=S[N+1],C=[],I=P,B=0;I<R;I++,B++)C[B]=new T.Vector2(M[I*2],M[I*2+1]);return C}function l(T,M,S,N){for(var P=[],R=[],C=0;C<N.length-1;C++){var I=N[C],B=N[C+1];if(!(B<=I)){var H=a(o(T,M,S,I),!0);if(!(H.length<3)){for(var X=new T.Shape(H),V=[H],W=I+1;W<B;W++){var Y=a(o(T,M,S,W),!1);if(!(Y.length<3)){var te=new T.Path;te.setFromPoints(Y),X.holes.push(te),V.push(Y)}}P.push(X),R.push(V)}}}return{shapes:P,polygons:R}}function c(T,M,S){var N=M.length;if(N<2||S===0)return M.slice();for(var P=[],R=0;R<N;R++){var C=M[(R+N-1)%N],I=M[R],B=M[(R+1)%N],H=new T.Vector2(I.x-C.x,I.y-C.y),X=new T.Vector2(B.x-I.x,B.y-I.y),V=H.length(),W=X.length();V>1e-9&&H.multiplyScalar(1/V),W>1e-9&&X.multiplyScalar(1/W);var Y=new T.Vector2(H.y,-H.x),te=new T.Vector2(X.y,-X.x),G=Y.add(te);G.lengthSq()<1e-12&&(G=te.lengthSq()>1e-12?te:Y),G.lengthSq()>1e-12&&G.normalize().multiplyScalar(S),P[R]=new T.Vector2(I.x+G.x,I.y+G.y)}return P}function h(T,M,S,N,P,R){var C=[],I=P.z,B=P.z*.35;function H(V,W,Y,te,G,$){C.push(V,W,Y,te,G,$)}M.forEach(function(V){V.forEach(function(W){for(var Y=c(T,W,P.xy),te=0;te<Y.length;te++){var G=Y[te],$=Y[(te+1)%Y.length];H(G.x,G.y,S-I,$.x,$.y,S-I),H(G.x,G.y,N+I,$.x,$.y,N+I),H(G.x,G.y,S+B,G.x,G.y,N-B)}})});var X=R(new T.BufferGeometry);return X.setAttribute("position",new T.Float32BufferAttribute(C,3)),X}function f(T){return T?(T.userData||(T.userData={}),typeof T.userData.__kwasmBaseDepthWrite>"u"&&(T.userData.__kwasmBaseDepthWrite=T.depthWrite),T.userData.__kwasmBaseDepthWrite):!1}function p(T,M){var S=M<1,N=f(T);T.opacity=M,T.transparent=S,"depthWrite"in T&&(T.depthWrite=S?!1:N),T.needsUpdate=!0}function m(T,M){var S=f(T);T.transparent=M,"depthWrite"in T&&(T.depthWrite=M?!1:S),T.needsUpdate=!0}function g(T,M,S){var N={},P=[T,M,S];return Object.defineProperties(N,{opacity:{get:function(){return T.opacity},set:function(R){P.forEach(function(C){p(C,R)})}},transparent:{get:function(){return T.transparent},set:function(R){P.forEach(function(C){m(C,R)})}}}),N}var y=0,u=Object.create(null);function d(T,M){return T.toFixed(6)+":"+M.toFixed(6)}function _(T,M,S){var N=d(T,M),P=u[N]||0;if(u[N]=P+1,P===0)return{x:0,y:0,z:0};var R=Math.max(.001,Math.min(Math.abs(S)*.01,.02)),C=Math.max(5e-4,Math.min(Math.abs(S)*.005,.01)),I=(P-1)*(Math.PI*.75);return{x:Math.cos(I)*P*C,y:Math.sin(I)*P*C,z:P*R}}function x(T){return{xy:Math.max(3e-4,Math.min(Math.abs(T)*.002,.006)),z:Math.max(6e-4,Math.min(Math.abs(T)*.003,.01))}}function v(T,M,S,N,P,R){if(!(N===0||S===0)){var C=T.groups;if(!(C.length<2)){for(var I=Math.tan(N*Math.PI/180)*Math.abs(R),B=T.getAttribute("position"),H=M-P,X=0;X*2+1<C.length;X++){for(var V=C[X*2],W=C[X*2+1],Y=V.start,te=W.start+W.count,G=1/0,$=-1/0,ae=1/0,ge=-1/0,ue=Y;ue<te;ue++){var oe=B.getX(ue),ye=B.getY(ue);oe<G&&(G=oe),oe>$&&($=oe),ye<ae&&(ae=ye),ye>ge&&(ge=ye)}var de=$-G,Ce=ge-ae;if(!(de===0||Ce===0))for(var F=Math.max(.01,1-2*I/de),re=Math.max(.01,1-2*I/Ce),Q=(G+$)/2,le=(ae+ge)/2,j=Y;j<te;j++){var Re=(H+B.getZ(j))/R;B.setX(j,Q+(B.getX(j)-Q)*(1+(F-1)*Re)),B.setY(j,le+(B.getY(j)-le)*(1+(re-1)*Re))}}B.needsUpdate=!0,T.computeVertexNormals()}}}return{applySidewallAngle:v,addLayerPolygons:function(T,M,S,N,P,R,C,I,B,H,X,V){var W=n.instance,Y=W.THREE,te=I+B,G=l(Y,P,R,C);if(!G.shapes.length)return;let $=new Set,ae=be=>($.add(be),be),ge=W.layerGroups[T],ue=y,oe=d(I,te),ye=u[oe],de=[],Ce=!1;try{var F=new Y.Color(M,S,N),re=ge,Q=re?re.userData.layerOffset:y++,le=re?re.userData.slabBias:_(I,te,B),j=I+le.z,Re=te+le.z,xe=re?.userData.frontMaterial??ae(new Y.MeshPhongMaterial({color:F,emissive:F.clone().multiplyScalar(.3),shininess:10,transparent:!1,opacity:1,side:Y.FrontSide,depthWrite:!0,polygonOffset:!0,polygonOffsetFactor:1,polygonOffsetUnits:1+Q*2})),L=re?.userData.backMaterial??ae(new Y.MeshPhongMaterial({color:F,emissive:F.clone().multiplyScalar(.2),shininess:10,transparent:!1,opacity:1,side:Y.BackSide,depthWrite:!0,polygonOffset:!0,polygonOffsetFactor:1,polygonOffsetUnits:2+Q*2})),E=re?.userData.edgeMaterial??ae(new Y.LineBasicMaterial({color:2105376,depthWrite:!1,depthTest:!0,transparent:!1,opacity:1})),k=ae(new Y.ExtrudeGeometry(G.shapes,{depth:B,bevelEnabled:!1,steps:1}));v(k,I,B,H,X,V),k.translate(le.x,le.y,j);var ee=ae(new Y.BufferGeometry);ee.setIndex(k.index);for(let[be,Fe]of Object.entries(k.attributes))ee.setAttribute(be,Fe);for(let be of k.groups)ee.addGroup(be.start,be.count,be.materialIndex);$.delete(k),k.dispose();var ie=new Y.Mesh(ee,L);ie.renderOrder=0;var se=new Y.Mesh(ee,xe);se.renderOrder=1;var Te=h(Y,G.polygons,j,Re,x(B),ae);Te.translate(le.x,le.y,0);var pe=new Y.LineSegments(Te,E);if(pe.name="_edges",pe.visible=typeof n.edgesVisible=="boolean"?n.edgesVisible:!0,pe.renderOrder=2,de.push(ie,se,pe),!re){re=new Y.Group,re.name=T,re.userData={layerOffset:Q,slabBias:le,frontMaterial:xe,backMaterial:L,edgeMaterial:E};var ve=g(xe,L,E)}re.add(...de),ge||(W.scene.add(re),W.layerGroups[T]=re,W.layerMaterials[T]=ve),Ce=!0,$.clear(),console.log("[kwasm] Added contour-driven layer: "+T)}catch(be){Ce||(re?.remove(...de),ge||(re&&W.scene.remove(re),delete W.layerGroups[T],delete W.layerMaterials[T],y=ue,ye===void 0?delete u[oe]:u[oe]=ye));try{Jr($)}catch(Fe){throw new AggregateError([be,Fe],"Geometry construction and cleanup failed")}throw be}},startGeometry:async function(T){let M=++n._layerstackGeneration;y=0,u=Object.create(null);let S=t.getElementById("loading-overlay"),N=t.getElementById("loading-text"),P=t.getElementById("loading-progress"),R=t.getElementById("loading-progress-bar");S?.classList.remove("hidden"),P?.classList.add("active"),R&&(R.style.width="0%");let C=()=>M===n._layerstackGeneration&&!e.destroyed,I=0;for(;I<T&&C();){let B=await s.geometryRevision();if(!C())return;if(B!==n.geometryRevision)throw Object.assign(new Error("Design changed during geometry generation"),{code:"SUPERSEDED"});N&&(N.textContent="Extruding layer "+(I+1)+" of "+T+"..."),R&&(R.style.width=I/T*100+"%");let H=await s.processLayer(I);if(!C())return;if(H<0)throw Object.assign(new Error(await s.geometryError()),{code:"ENGINE_ERROR"});H||I++}C()&&(R&&(R.style.width="100%"),N&&(N.textContent="Finalizing..."),await s.finishLayerstack())},completeGeometry:function(){var T=n.instance;if(typeof n.currentZScale=="number"&&n.currentZScale!==1)for(var M in T.layerGroups)T.layerGroups[M].scale.z=n.currentZScale;for(var M in T.layerGroups){var S=T.layerGroups[M];S.traverse(B=>{B.name==="_edges"&&(B.visible=typeof n.edgesVisible=="boolean"?n.edgesVisible:!0)})}n.sceneHasCamera||(T.zoomFitCamera(),T.saveDefaultView(),n.sceneHasCamera=!0),n.geometryReadyResolve?.(),n.geometryReadyResolve=n.geometryReadyReject=null;var N=t.getElementById("loading-overlay");N&&N.classList.add("hidden");var P=t.getElementById("loading-progress");P&&P.classList.remove("active");var R=Object.keys(T.layerGroups),C=t.getElementById("status-overlay");C&&(C.textContent=R.length+" layers"),typeof i=="function"&&i("3D model loaded: "+R.length+" layers")}}}function vl(s){return typeof s.name=="string"&&s.name.trim()?s.name:typeof s.s=="string"&&s.s.trim()?s.s:"Layer "+String(s.id)}function Nu(s,e){let t=new Set,n=[],i=[],r=[];s.forEach((a,o)=>{for(;n.length&&(s[n.at(-1)].d||0)>=(a.d||0);)n.pop();let l=n.at(-1);i[o]=l,r[o]=!!r[l]||vl(a).toLowerCase().includes(e),r[o]&&t.add(o),n.push(o)});for(let a=s.length-1;a>=0;a--)t.has(a)&&i[a]!==void 0&&t.add(i[a]);return t}function Uu({engine:s,layerState:e,layersEl:t,showLayerContextMenu:n,view:i,sceneState:r,work:a}){function o(u,d,_){u.classList.toggle("hidden",!d),u.classList.toggle("empty-layer",!!_),u.classList.toggle("active-layer",!!d&&!_)}function l(u){e.collapsedGroups[u]=!e.collapsedGroups[u],f(i.latestLayers)}function c(u,d){for(var _=u[d].d||0,x=d-1;x>=0;x--){var v=u[x].d||0;if(v<_){if(e.collapsedGroups[u[x].id])return!0;_=v}}return!1}function h(u,d){for(var _=u[d].d||0,x=d+1;x<u.length;x++){var v=u[x].d||0;if(v<=_)break;if(i.viewMode==="3d"){if(u[x].tg?.length)return!0}else if(!u[x].e)return!0}return!1}function f(u){i.latestLayers=u||[],u=i.latestLayers;let d=JSON.stringify(u.map(A=>[A.id,A.d||0,!!A.hc]));if(d!==e.layerSetKey&&(e.layerSetKey=d,e.collapsedGroups=Object.create(null),u.length>20))for(let A of u)A.hc&&(e.collapsedGroups[A.id]=!0);let _=e.searchQuery,x=_?Nu(u,_):null;if(t){t.innerHTML="";var v=i.viewMode==="3d"&&r.instance?r.instance:null;if(u.forEach(function(A,w){for(let W of A.tg||[])v?.layerGroups[W]&&(v.layerGroups[W].visible=!!A.v);if(x&&!x.has(w))return;if(i.viewMode==="3d"){if(!i.showEmptyLayers&&!A.tg?.length&&(A.e||!A.hc)&&(!A.hc||!h(u,w)))return}else if(!i.showEmptyLayers&&A.e&&(!A.hc||!h(u,w)))return;if(!_&&c(u,w))return;var b=!!A.v,T=!!A.hc,M=A.d||0,S=A.tg||[],N;i.viewMode==="3d"?N=!S.length&&(!!A.e||!A.hc):N=!!A.e;var P=document.createElement("div");P.className="layer-card",T&&P.classList.add("group-parent"),P.dataset.layerId=A.id,P.dataset.empty=N?"1":"0",M>0&&(P.style.marginLeft=M*16+"px");var R=T?!h(u,w):N;if(o(P,b,R),T){var C=document.createElement("span");C.className="layer-group-toggle",!_&&e.collapsedGroups[A.id]&&C.classList.add("collapsed"),C.textContent="\u203A",C.onclick=function(W){W.stopPropagation(),_||l(A.id)},P.appendChild(C)}if(!T){var I=document.createElement("img");I.className="layer-icon",I.alt="",I.src=A.img?"data:image/png;base64,"+A.img:"",P.appendChild(I)}var B=document.createElement("span");B.className="layer-name",B.textContent=vl(A),P.appendChild(B);let H=S.map(W=>v?.layerMaterials[W]).filter(Boolean);if(H.length){var X=document.createElement("input");X.type="range",X.className="layer-opacity",X.min="0",X.max="100",X.value=String(Math.round(H[0].opacity*100)),X.onclick=function(W){W.stopPropagation()},X.oninput=function(W){for(let te of H){var Y=parseInt(W.target.value)/100;te.opacity=Y,te.transparent=Y<1}},P.appendChild(X)}var V=document.createElement("span");V.className="layer-source",V.textContent=A.s||"",P.appendChild(V),P.onclick=()=>a.background(async()=>{var W=P.classList.contains("hidden");o(P,W,N),await s.setLayerVisible(A.id,W?1:0);for(let Y of S)v?.layerGroups[Y]&&(v.layerGroups[Y].visible=W)}),P.oncontextmenu=function(W){n(W,A,w)},t.appendChild(P)}),_&&!t.children.length){let A=document.createElement("div");A.className="panel-search-empty",A.textContent="No layers match",t.append(A)}}}function p(u){e.searchQuery=String(u||"").trim().toLowerCase(),f(i.latestLayers)}async function m(){if(i.viewMode==="2d"){if(!i.initialized)return;t.querySelectorAll(".layer-card").forEach(function(_){o(_,!0,_.dataset.empty==="1")})}await s.setAllLayersVisible(1);var u=i.viewMode==="3d"&&r.instance?r.instance:null;if(u)for(var d in u.layerGroups)u.layerGroups[d].visible=!0}async function g(){if(i.viewMode==="2d"){if(!i.initialized)return;t.querySelectorAll(".layer-card").forEach(function(_){o(_,!1,_.dataset.empty==="1")})}await s.setAllLayersVisible(0);var u=i.viewMode==="3d"&&r.instance?r.instance:null;if(u)for(var d in u.layerGroups)u.layerGroups[d].visible=!1}function y(u){i.showEmptyLayers=!i.showEmptyLayers,u&&u.classList.toggle("active",i.showEmptyLayers),f(i.latestLayers)}return{hideAllLayers:g,renderLayers:f,setLayerSearch:p,showAllLayers:m,toggleEmptyLayers:y}}function Ou({engine:s,events:e,hideAllLayers:t,life:n,layerState:i,renderLayers:r,root:a,showAllLayers:o,surface:l,view:c,work:h}){var f=null;function p(){f&&f.classList.remove("open")}let m={signal:n.signal};e.addEventListener("viewer-resize",p,m);function g(){return f||(f=document.createElement("div"),f.className="layer-context-menu",l.appendChild(f),a.addEventListener("click",p,m),a.addEventListener("contextmenu",function(w){(!w.target.closest||!w.target.closest(".layer-context-menu"))&&!w.target.closest(".layer-card")&&!w.target.closest(".layer-panel-list")&&p()},m),a.addEventListener("keydown",function(w){w.key==="Escape"&&p()},m),window.addEventListener("blur",p,m),window.addEventListener("pointerdown",w=>{w.composedPath().includes(l)||p()},m),f)}function y(w,b){for(var T=[],M=w[b].d||0,S=b-1;S>=0;S--){var N=w[S].d||0;if(N<M&&(T.push(w[S]),M=N,M===0))break}return T}function u(w,b){for(var T=[],M=w[b].d||0,S=b+1;S<w.length&&!((w[S].d||0)<=M);S++)T.push(w[S]);return T}async function d(w){await s.setLayerVisible(w.id,w.v?0:1)}async function _(w){var b=c.latestLayers;if(b[w]){await s.setAllLayersVisible(0);for(let T of y(b,w))await s.setLayerVisible(T.id,1);await s.setLayerVisible(b[w].id,1);for(let T of u(b,w))await s.setLayerVisible(T.id,1)}}async function x(){var w=c.latestLayers.filter(function(b){return(b.d||0)===0}).map(function(b){return{id:b.id,next:b.v?0:1}});for(let b of w)await s.setLayerVisible(b.id,b.next)}function v(w){c.latestLayers.forEach(function(b){b.hc&&(i.collapsedGroups[b.id]=w)}),r(c.latestLayers)}function A(w,b,T){w.preventDefault(),w.stopPropagation();var M=g();M.innerHTML="";function S(I,B,H){var X=document.createElement("div");X.className="layer-context-menu-item";var V=document.createElement("i");V.className="fas "+B,X.appendChild(V),X.appendChild(document.createTextNode(I)),X.onclick=function(W){W.stopPropagation(),p(),h.background(H)},M.appendChild(X)}function N(){var I=document.createElement("div");I.className="layer-context-menu-separator",M.appendChild(I)}if(b){var P=document.createElement("div");P.className="layer-context-menu-title";var R=typeof b.name=="string"&&b.name.trim().length>0;P.textContent=R?b.name:b.s||"Layer "+String(b.id),M.appendChild(P),S(b.v?"Hide":"Show",b.v?"fa-eye-slash":"fa-eye",function(){return d(b)}),S("Show Only This","fa-bullseye",function(){return _(T)}),N()}S("Show All","fa-eye",function(){return o()}),S("Hide All","fa-eye-slash",function(){return t()}),S("Invert Visibility","fa-shuffle",x);var C=c.latestLayers.some(function(I){return!!I.hc});C&&(N(),S("Expand All Groups","fa-angles-down",function(){v(!1)}),S("Collapse All Groups","fa-angles-up",function(){v(!0)})),M.style.left="0px",M.style.top="0px",M.classList.add("open"),di(M,l,w.clientX,w.clientY)}return(function(){var w=a.getElementById("layers");w&&(w.oncontextmenu=function(b){b.target===w&&A(b,null,-1)})})(),{showLayerContextMenu:A}}function Fu({life:s,navigate:e,request:t,root:n,showToast:i}){let r=n.getElementById("cell-tree-search-input"),a=n.getElementById("cell-tree-search-results"),o=0,l;function c(){o++,s.clearTimeout(l),r.value="",a.replaceChildren(),a.classList.add("u-hidden"),n.getElementById("cell-tree").classList.remove("u-hidden")}s.defer(c);function h(p){o++,s.clearTimeout(l);let m=String(p||"").trim().toLowerCase(),g=o;if(a.replaceChildren(),a.classList.toggle("u-hidden",!m),n.getElementById("cell-tree").classList.toggle("u-hidden",!!m),!m)return;let y=document.createElement("div");y.className="panel-search-empty",y.textContent="Searching cells\u2026",a.append(y),l=s.setTimeout(()=>f(m,g,y),120)}async function f(p,m,g){let y=()=>m===o&&!s.destroyed,u=[],d=0,_=document.createElement("button");_.type="button",_.className="cell-tree-more",_.textContent="Show more matches\u2026",_.hidden=!0,a.append(_);function x(v=d+128){let A=Math.min(u.length,v);for(;d<A;){let w=u[d++],b=document.createElement("button");b.type="button",b.className="cell-search-result";let T=document.createElement("span");T.className="cell-tree-name search-match",T.textContent=w.cell;let M=document.createElement("small"),S=[];for(let N=w.parent;N;N=N.parent)S.push(N.cell);M.textContent=S.reverse().join(" / "),b.append(T,M),b.onclick=()=>e(w.ci,b),a.insertBefore(b,_)}_.hidden=d>=u.length}_.onclick=()=>x();try{let v=await t({action:"getCellChildren"});if(!y())return;let A=[{cell:v.cell,ci:v.ci,parent:null,page:v}],w=new Set([v.ci]);for(let b=0;b<A.length&&y();b++){let T=A[b];T.cell.toLowerCase().includes(p)&&u.push(T);let M=T.page;do{if(M||(M=await t({action:"getCellChildren",cellIndex:T.ci,offset:T.offset??0,revision:v.revision})),!y())return;for(let S of M.children)w.has(S.ci)||(w.add(S.ci),A.push({cell:S.cell,ci:S.ci,parent:T,leaf:!S.hasChildren}));T.offset=M.nextOffset,M=null}while(T.offset!==null&&y());for(;b+1<A.length&&A[b+1].leaf;){let S=A[++b];S.cell.toLowerCase().includes(p)&&u.push(S)}d<128&&x(128),_.hidden=d>=u.length,g.textContent="Searching cells\u2026 "+u.length+" matches"}y()&&(g.textContent=u.length?u.length+" matching cells":"No cells match")}catch(v){y()&&(g.textContent="Search interrupted. Change the query to search the current layout.",i(v.message))}}return{resetCellSearch:c,setCellTreeSearch:h}}function Bu({_updateBackdrop:s,life:e,localRequest:t,root:n,scheduleNetlistMatching:i,showToast:r,view:a}){let o=null,l=null,c=null,h,f=0,p=!1,m=Fu({life:e,root:n,request:u,showToast:r,navigate:v});e.defer(()=>{f++,o=null,l=null});function g(){n.getElementById("connectivity-panel").classList.remove("open"),n.getElementById("connectivity-tab").classList.remove("u-hidden");let b=n.getElementById("cell-tree-panel"),T=n.getElementById("layer-panel");T.classList.contains("open")&&(T.classList.remove("open"),n.getElementById("layer-tab").classList.remove("u-hidden")),b.classList.toggle("open"),n.getElementById("cell-tree-tab").classList.toggle("u-hidden",b.classList.contains("open")),s(),b.classList.contains("open")&&!o&&a.layoutLoaded&&d()}function y(){m.resetCellSearch(),f++,p=!1,o=l=c=null,h=void 0,n.getElementById("cell-tree").replaceChildren(),n.getElementById("cell-tree-back").classList.add("u-hidden"),n.getElementById("cell-tree-panel").classList.contains("open")&&!e.destroyed&&d()}async function u(b){let T=await t(b);if(T.status==="error")throw Object.assign(new Error(T.error.message),T.error);return T.result}async function d(){if(p||e.destroyed)return;p=!0;let b=f;try{let T=await u({action:"getCellChildren"});if(b!==f||e.destroyed)return;h=T.revision,c=T.ci,o=w({cell:T.cell,ci:T.ci,n:1,hasChildren:T.totalRecords>0},!0),_(o,T),n.getElementById("cell-tree").replaceChildren(o.element)}catch(T){b===f&&!e.destroyed&&r(T.message)}finally{b===f&&(p=!1)}}function _(b,T){b.pendingCount&&(b.pendingCount.data.partial=!1,b.pendingCount.updateCount(),b.pendingCount=null);let M=T.children;if(T.displayOrder){let S=new Map(T.displayOrder.map((N,P)=>[N,P]));M.sort((N,P)=>S.get(N.ci)-S.get(P.ci))}for(let S of M){let N=b.children.get(S.ci);N?(N.data.n+=S.n,N.updateCount()):(N=w(S,!1),b.children.set(S.ci,N),b.container.insertBefore(N.element,b.more))}b.offset=T.nextOffset,T.nextOffset!==null&&M.length&&(b.pendingCount=b.children.get(M.at(-1).ci),b.pendingCount.data.partial=!0,b.pendingCount.updateCount()),b.loaded=!0,b.more.hidden=T.nextOffset===null,b.more.textContent="Load more\u2026"}async function x(b){if(b.loading||b.loaded&&b.offset===null||e.destroyed)return;let T=f;b.loading=!0,b.more.disabled=!0,b.more.hidden=!1,b.more.textContent="Loading\u2026";try{let M=await u({action:"getCellChildren",cellIndex:b.data.ci,offset:b.offset??0,revision:h});if(T!==f||e.destroyed)return;_(b,M)}catch(M){if(T!==f||e.destroyed)return;M.code==="SUPERSEDED"?y():(b.more.textContent="Retry loading\u2026",r(M.message))}finally{b.loading=!1,b.more.disabled=!1}}async function v(b,T){let M=f;try{let S=await u({action:"setActiveCell",cellIndex:b});return M!==f||e.destroyed?!1:(h=S.revision,i(),l?.classList.remove("selected"),l=T,T?.classList.add("selected"),n.getElementById("cell-tree-back").classList.toggle("u-hidden",b===c),!0)}catch(S){return M===f&&!e.destroyed&&r(S.message),!1}}function A(){if(c!==null)return v(c,null)}function w(b,T){let M=document.createElement("div");M.className="cell-tree-node";let S=document.createElement("div");S.className="cell-tree-row";let N=document.createElement("span");N.className="cell-tree-toggle",N.classList.toggle("leaf",!b.hasChildren),N.classList.toggle("collapsed",!T&&b.hasChildren),N.textContent="\u203A";let P=document.createElement("span");P.className="cell-tree-name",P.textContent=P.title=b.cell;let R=document.createElement("span");R.className="cell-tree-cell",S.append(N,P,R),M.append(S);let C=document.createElement("div");C.className="cell-tree-children",C.classList.toggle("collapsed",!T);let I=document.createElement("button");I.type="button",I.className="cell-tree-more",I.textContent="Load more\u2026",C.append(I),b.hasChildren&&M.append(C);let B={data:b,element:M,container:C,more:I,children:new Map,offset:0,loaded:!1,loading:!1,updateCount(){R.textContent=b.n>1||b.partial?"\xD7"+(b.partial?"\u2265":"")+b.n.toLocaleString():"",R.hidden=b.n<=1&&!b.partial,R.title=b.partial?"At least this many instances; load more parent records for the complete count":""}};B.updateCount();let H=()=>{C.classList.remove("collapsed"),N.classList.remove("collapsed"),B.loaded||x(B)};return I.onclick=()=>x(B),N.onclick=X=>{X.stopPropagation(),b.hasChildren&&(C.classList.contains("collapsed")?H():(C.classList.add("collapsed"),N.classList.add("collapsed")))},S.onclick=async()=>{await v(b.ci,S)&&b.hasChildren&&H()},B}return{invalidateCellTree:y,navigateToTopCell:A,toggleCellTreePanel:g,setCellTreeSearch:m.setCellTreeSearch}}function zu({drawing:s,engine:e,reply:t,view:n}){function i(){return["draw-polyline","draw-manhattan","draw-freehand"].includes(n.currentMode)}function r(y,u,d,_){return Math.abs(d-y)>=Math.abs(_-u)?{x:d,y:u}:{x:y,y:_}}async function a(){if(s.drawingFreehand){let v=s.lastLayoutX-s.freehandLastX,A=s.lastLayoutY-s.freehandLastY;v*v+A*A>=s.freehandThreshold*s.freehandThreshold&&(await e.addDrawSegment(s.freehandLastX,s.freehandLastY,s.lastLayoutX,s.lastLayoutY),s.freehandLastX=s.lastLayoutX,s.freehandLastY=s.lastLayoutY,s.drawPoints.push({x:s.lastLayoutX,y:s.lastLayoutY}))}if(!i()||s.drawingFreehand||s.drawPrevX===null)return;if(n.currentMode==="draw-manhattan")if(s.drawLastDir===null){let v=r(s.drawPrevX,s.drawPrevY,s.lastLayoutX,s.lastLayoutY);await e.setDrawGhostLine(s.drawPrevX,s.drawPrevY,v.x,v.y)}else s.drawLastDir==="h"?await e.setDrawGhostLine(s.drawPrevX,s.drawPrevY,s.lastLayoutX,s.drawPrevY):await e.setDrawGhostLine(s.drawPrevX,s.drawPrevY,s.drawPrevX,s.lastLayoutY);else await e.setDrawGhostLine(s.drawPrevX,s.drawPrevY,s.lastLayoutX,s.lastLayoutY);if(!s.drawStopPoint||n.currentMode!=="draw-manhattan")return;let y,u,d;if(s.drawLastDir===null){let v=r(s.drawPrevX,s.drawPrevY,s.lastLayoutX,s.lastLayoutY);y=v.x,u=v.y,d=v.y===s.drawPrevY}else s.drawLastDir==="h"?(y=s.lastLayoutX,u=s.drawPrevY,d=!0):(y=s.drawPrevX,u=s.lastLayoutY,d=!1);let _=d?y:s.drawStopPoint.x,x=d?s.drawStopPoint.y:u;await e.pushDrawGhostLine(y,u,_,x),await e.pushDrawGhostLine(_,x,s.drawStopPoint.x,s.drawStopPoint.y)}async function o(){let y,u,d;if(s.drawLastDir===null){let _=r(s.drawPrevX,s.drawPrevY,s.lastLayoutX,s.lastLayoutY);await e.addDrawSegment(s.drawPrevX,s.drawPrevY,_.x,_.y),await e.addDrawDot(s.drawPrevX,s.drawPrevY),y=_.x,u=_.y,d=_.y===s.drawPrevY}else s.drawLastDir==="h"?(await e.addDrawSegment(s.drawPrevX,s.drawPrevY,s.lastLayoutX,s.drawPrevY),await e.addDrawDot(s.drawPrevX,s.drawPrevY),y=s.lastLayoutX,u=s.drawPrevY,d=!0):(await e.addDrawSegment(s.drawPrevX,s.drawPrevY,s.drawPrevX,s.lastLayoutY),await e.addDrawDot(s.drawPrevX,s.drawPrevY),y=s.drawPrevX,u=s.lastLayoutY,d=!1);if(s.drawPoints.push({x:y,y:u}),s.drawStopPoint){let _=d?y:s.drawStopPoint.x,x=d?s.drawStopPoint.y:u;await e.addDrawDot(y,u),await e.addDrawSegment(y,u,_,x),await e.addDrawDot(_,x),await e.addDrawSegment(_,x,s.drawStopPoint.x,s.drawStopPoint.y),s.drawPoints.push({x:_,y:x}),s.drawPoints.push({x:s.drawStopPoint.x,y:s.drawStopPoint.y}),y=s.drawStopPoint.x,u=s.drawStopPoint.y,s.drawStopPoint=null}if(await e.addDrawDot(y,u),s.routeSourcePort){s.routeCorners.push({x:y,y:u});let _=null;if(n.danglingPortsVisible){let x=await e.viewportMeanUm()/100,v=await e.findNearestDanglingPort(y,u,x);if(v)try{_=JSON.parse(v)}catch{}}t({type:"route",source:s.routeSourcePort,destination:_,corners:s.routeCorners}),s.routeSourcePort=null,s.routeCorners=[]}}async function l(){if(s.drawPrevX!==null&&(n.currentMode==="draw-manhattan"?await o():(await e.addDrawLine(s.drawPrevX,s.drawPrevY,s.lastLayoutX,s.lastLayoutY),s.drawPoints.push({x:s.lastLayoutX,y:s.lastLayoutY}))),s.drawPoints.length>1){let y=n.currentMode==="draw-manhattan"?"manhattan":"polyline";t({type:y,points:s.drawPoints})}s.drawPoints=[],s.drawPrevX=null,s.drawPrevY=null,s.drawLastDir=null,await e.clearDrawGhost()}async function c(){if(s.drawLastDir===null){let y=r(s.drawPrevX,s.drawPrevY,s.lastLayoutX,s.lastLayoutY);await e.addDrawSegment(s.drawPrevX,s.drawPrevY,y.x,y.y),await e.addDrawDot(s.drawPrevX,s.drawPrevY),s.drawLastDir=y.y===s.drawPrevY?"v":"h",s.drawPrevX=y.x,s.drawPrevY=y.y,s.routeSourcePort&&s.routeCorners.push({x:y.x,y:y.y}),s.drawPoints.push({x:y.x,y:y.y})}else s.drawLastDir==="h"?(await e.addDrawSegment(s.drawPrevX,s.drawPrevY,s.lastLayoutX,s.drawPrevY),await e.addDrawDot(s.drawPrevX,s.drawPrevY),s.drawPrevX=s.lastLayoutX,s.drawLastDir="v",s.routeSourcePort&&s.routeCorners.push({x:s.lastLayoutX,y:s.drawPrevY}),s.drawPoints.push({x:s.lastLayoutX,y:s.drawPrevY})):(await e.addDrawSegment(s.drawPrevX,s.drawPrevY,s.drawPrevX,s.lastLayoutY),await e.addDrawDot(s.drawPrevX,s.drawPrevY),s.drawPrevY=s.lastLayoutY,s.drawLastDir="h",s.routeSourcePort&&s.routeCorners.push({x:s.drawPrevX,y:s.lastLayoutY}),s.drawPoints.push({x:s.drawPrevX,y:s.lastLayoutY}))}async function h(){if(n.currentMode!=="draw-manhattan")await e.addDrawDot(s.lastLayoutX,s.lastLayoutY);else if(n.danglingPortsVisible){let y=await e.viewportMeanUm()/100,u=await e.findNearestDanglingPort(s.lastLayoutX,s.lastLayoutY,y);if(u)try{let d=JSON.parse(u);s.lastLayoutX=d.x,s.lastLayoutY=d.y,s.routeSourcePort=d,s.routeCorners=[{x:d.x,y:d.y}]}catch{}}s.drawPrevX=s.lastLayoutX,s.drawPrevY=s.lastLayoutY,s.drawPoints=[{x:s.lastLayoutX,y:s.lastLayoutY}]}async function f(y){return i()?y&2?(await l(),!0):y&1?n.currentMode==="draw-freehand"?(s.drawingFreehand=!0,s.freehandLastX=s.lastLayoutX,s.freehandLastY=s.lastLayoutY,s.drawPoints=[{x:s.lastLayoutX,y:s.lastLayoutY}],s.freehandThreshold=await e.viewportMeanUm()/150,!0):(s.drawPrevX!==null?(n.currentMode==="draw-manhattan"?await c():(await e.addDrawLine(s.drawPrevX,s.drawPrevY,s.lastLayoutX,s.lastLayoutY),s.drawPrevX=s.lastLayoutX,s.drawPrevY=s.lastLayoutY,s.drawPoints.push({x:s.lastLayoutX,y:s.lastLayoutY})),await e.clearDrawGhost()):await h(),!0):!1:!1}function p(){return s.drawingFreehand?(s.drawingFreehand=!1,s.drawPoints.length>1&&t({type:"freehand",points:s.drawPoints}),s.drawPoints=[],!0):!1}async function m(){if(!i())return!1;if(s.drawPoints.length>1){let y=n.currentMode==="draw-manhattan"?"manhattan":n.currentMode==="draw-freehand"?"freehand":"polyline";t({type:y,points:s.drawPoints})}return s.drawPoints=[],s.drawPrevX=null,s.drawPrevY=null,s.drawLastDir=null,s.routeSourcePort=null,s.routeCorners=[],await e.clearDrawGhost(),!0}async function g(){!i()||s.drawPrevX===null||(await e.clearDrawMarkers(),await e.clearDrawGhost(),s.drawPrevX=null,s.drawPrevY=null,s.drawLastDir=null,s.drawStopPoint=null,s.drawPoints=[],s.routeSourcePort=null,s.routeCorners=[])}return{cancel:g,doubleClick:m,isMode:i,move:a,press:f,release:p}}function ku({_hierAtMax:s,_markInteraction:e,canvas:t,clearTimeout:n,coordOverlay:i,drawing:r,engine:a,handleKwasmShortcut:o,hierDepthDec:l,hierDepthInc:c,hierDepthMax:h,instanceOverlay:f,localRequest:p,onMouseIdle:m,reply:g,root:y,setTimeout:u,showToast:d,surface:_,switchMode:x,view:v,work:A}){let w=zu({drawing:r,engine:a,reply:g,view:v});function b(C,I){t.addEventListener(C,B=>{v.initialized&&(["mousedown","mouseup","dblclick","wheel","contextmenu"].includes(C)&&B.preventDefault(),A.background(()=>I(B),C==="mousemove"?"pointer":void 0))})}function T(C){let I=0;return C.shiftKey&&(I|=1),C.ctrlKey&&(I|=2),C.altKey&&(I|=4),C.buttons&1&&(v.currentMode==="select"?I|=16:I|=8),C.buttons&2&&(I|=32),C.buttons&4&&(I|=16),I}function M(C){let I=t.getBoundingClientRect();var B=C.clientX-I.left,H=C.clientY-I.top;return I.width>0&&I.height>0&&(B=B*t.width/I.width,H=H*t.height/I.height),{x:B,y:H}}b("mousemove",async function(C){if(!v.initialized)return;r.lastClientX=C.clientX,r.lastClientY=C.clientY,C.buttons&&e(),await a.clearHoverBbox();let I=M(C);await a.mouseMove(I.x,I.y,T(C)),await w.move(),r.hoverTimerId!==null&&n(r.hoverTimerId),r.hoverTimerId=u(function(){A.background(m,"hover-idle")},500),C.preventDefault()}),b("mousedown",async function(C){if(!v.initialized)return;e();let I=M(C);if(await w.press(C.buttons)){C.preventDefault();return}if(v.currentMode==="net-tracer"&&C.buttons&1){p({action:"traceNet",point:{x:r.lastLayoutX,y:r.lastLayoutY}}).then(H=>{if(H.status==="error"){d("Net tracer: "+H.error.message);return}let X=H.result.shapeCount;d(X>0?"Net tracer: "+X+" shapes found":"Net tracer: no shapes found at this point")}).catch(H=>d("Net tracer: "+H.message)),C.preventDefault();return}if(v.currentMode==="select"&&C.buttons&1&&(r.selectStartClientX=C.clientX,r.selectStartClientY=C.clientY),v.currentMode==="move"&&!r.moveStartInstance){var B=await a.findNearestInstanceInfo(r.lastLayoutX,r.lastLayoutY);if(B)try{r.moveStartInstance=JSON.parse(B)}catch{}}await a.mousePress(I.x,I.y,T(C)),C.preventDefault()}),b("mouseup",async function(C){if(!v.initialized)return;if(w.release()){C.preventDefault();return}let I=M(C);if(await a.mouseRelease(I.x,I.y,T(C)),v.currentMode==="select"){await a.selectAt(I.x,I.y);let X=r.selectStartClientX!==null&&Math.hypot(C.clientX-r.selectStartClientX,C.clientY-r.selectStartClientY)<=3;if(r.selectStartClientX=r.selectStartClientY=null,X){let V=await a.findNearestInstance(r.lastLayoutX,r.lastLayoutY);g({type:"selection",instanceName:V||null,point:{x:r.lastLayoutX,y:r.lastLayoutY}})}}if(v.currentMode==="move"&&r.moveStartInstance){await a.refreshInstanceState();var B=await a.findNearestInstanceInfo(r.lastLayoutX,r.lastLayoutY);if(B)try{var H=JSON.parse(B);H.path===r.moveStartInstance.path&&(H.x!==r.moveStartInstance.x||H.y!==r.moveStartInstance.y||H.rotation!==r.moveStartInstance.rotation||H.mirror!==r.moveStartInstance.mirror)&&(g({type:"move",instance:H.path,dx:H.x-r.moveStartInstance.x,dy:H.y-r.moveStartInstance.y,rotation:H.rotation,mirror:H.mirror}),r.moveStartInstance=null)}catch{}}C.preventDefault()}),b("dblclick",async function(C){if(!v.initialized)return;if(await w.doubleClick()){C.preventDefault();return}let I=M(C);await a.mouseDblclick(I.x,I.y,T(C)),C.preventDefault()}),b("mouseenter",async function(){v.initialized&&await a.mouseEnter()}),b("mouseleave",async function(){v.initialized&&(await a.mouseLeave(),i.classList.remove("visible"),f.classList.remove("visible"),r.selectStartClientX=r.selectStartClientY=null,await a.clearHoverBbox(),r.hoverTimerId!==null&&(n(r.hoverTimerId),r.hoverTimerId=null))}),b("wheel",async function(C){if(!v.initialized)return;e();let I=M(C),B=C.deltaY!==0?-C.deltaY:-C.deltaX,H=C.deltaX!==0&&C.deltaY===0?1:0;await a.wheel(B,H,I.x,I.y,T(C)),C.preventDefault()});var S=y.getElementById("context-menu"),N=null;function P(C,I,B){N=C,S.style.display="block",di(S,t.parentElement,I,B)}function R(){S.style.display="none",N=null}return y.getElementById("ctx-highlight-schematic").addEventListener("click",function(){N&&g({type:"highlightInSchematic",instanceName:N}),R()}),y.addEventListener("mousedown",function(C){S.contains(C.target)||R()}),b("contextmenu",async function(C){if(C.preventDefault(),!!v.initialized){var I=await a.findNearestInstance(r.lastLayoutX,r.lastLayoutY);I&&P(I,C.clientX,C.clientY)}}),y.addEventListener("keydown",function(C){v.initialized&&(/^(INPUT|TEXTAREA|SELECT)$/.test(C.target?.tagName)||o(C)||A.background(async()=>{if(C.key==="Escape"){if(v.currentMode==="ruler"||v.currentMode==="move"){r.moveStartInstance=null,await x("select"),v.currentMode="select",y.querySelectorAll(".toolbar-btn.active").forEach(function(B){B.classList.remove("active")});var I=y.querySelector('.toolbar-btn[data-mode="select"]');I&&I.classList.add("active")}await w.cancel()}(C.key==="Delete"||C.key==="Backspace")&&await a.deleteSelected(),(C.key==="+"||C.key==="=")&&!C.ctrlKey&&!C.metaKey&&!C.altKey&&(y.activeElement===_||y.activeElement===t)&&await c(),C.key==="-"&&!C.ctrlKey&&!C.metaKey&&!C.altKey&&(y.activeElement===_||y.activeElement===t)&&await l(),C.key==="*"&&!s()&&(y.activeElement===_||y.activeElement===t)&&await h()}))},!0),{}}function Vu({reply:s,root:e,setTimeout:t}){var n=e.getElementById("toast-container");function i(r,a,o){a=(a||"info").toLowerCase();var l=document.createElement("div");l.className="toast"+(a!=="info"?" "+a:""),o&&(l.style.cursor="pointer"),l.textContent=r;function c(){l.classList.remove("visible"),t(function(){l.remove()},200)}if(o&&(l.onclick=function(){s(o),c()}),a==="error"){var h=document.createElement("button");h.className="toast-close",h.innerHTML="&times;",h.onclick=function(f){f.stopPropagation(),c()},l.appendChild(h)}n.appendChild(l),l.offsetHeight,l.classList.add("visible"),a==="info"?t(c,3e3):a==="warning"&&t(c,5e3)}return{showToast:i}}function Hu({_updateBackdrop:s,canvas:e,commitConfig:t,currentKwasmTheme:n,drawing:i,engine:r,loadLypFile:a,localRequest:o,renderState:l,root:c,setConfig:h,setKwasmTheme:f,showToast:p,surface:m,switchMode:g,topCellMetaOverlay:y,view:u}){var d=-1,_=-1;async function x(oe,ye){u.initialized&&(u.currentMode=oe,c.querySelectorAll("#btn-select, #btn-move, #btn-ruler, #btn-net-tracer").forEach(function(de){de.classList.remove("active")}),ye?.classList.add("active"),i.moveStartInstance=null,i.selectStartClientX=i.selectStartClientY=null,oe==="net-tracer"?(await g("select"),p("Click on a shape to trace its net. Connectivity rules add cross-layer connections.")):oe==="draw-polyline"||oe==="draw-manhattan"||oe==="draw-freehand"?(await r.clearRdbMarkers(),i.drawPrevX=null,i.drawPrevY=null,i.drawLastDir=null,i.drawingFreehand=!1,i.routeSourcePort=null,i.routeCorners=[],i.drawStopPoint=null,i.drawPoints=[],await g("select")):(await r.clearDrawGhost(),i.drawPrevX=null,i.drawPrevY=null,i.drawLastDir=null,i.drawingFreehand=!1,i.routeSourcePort=null,i.routeCorners=[],i.drawStopPoint=null,i.drawPoints=[],await g(oe)),oe==="ruler"&&(await h("current-ruler-template","0"),await t()),oe==="move"&&p("Click to start moving, click again to finish moving, right click to rotate."))}async function v(){u.initialized&&(await r.clearAll(),await r.clearNetTraceMarkers(),i.moveStartInstance=null,i.selectStartClientX=i.selectStartClientY=null,i.drawPrevX=null,i.drawPrevY=null,i.drawLastDir=null,i.drawingFreehand=!1,u.portsVisible=!1,u.instancePortsVisible=!1,u.danglingPortsVisible=!1,u.infoVisible=!1,i.routeSourcePort=null,i.routeCorners=[],i.drawStopPoint=null,i.drawPoints=[],c.getElementById("btn-ports").classList.remove("toggled"),c.getElementById("btn-all-ports").classList.remove("toggled"),c.getElementById("btn-dangling").classList.remove("toggled"),c.getElementById("btn-info").classList.remove("toggled"),y.classList.remove("visible"))}async function A(){u.initialized&&await r.zoomFit()}async function w(){if(!(!u.initialized||!u.initialGds))try{let oe=await o({action:"loadGds",gds:u.initialGds});oe.status==="error"&&p(oe.error.message)}catch(oe){p(oe.message)}}function b(){return(u.portsVisible?1:0)|(u.instancePortsVisible?2:0)}async function T(){if(await r.updatePortMarkers(b()|(u.danglingPortsVisible?4:0))<0)throw Object.assign(new Error("Could not update port markers"),{code:"ENGINE_ERROR"})}async function M(oe){let ye={top:u.portsVisible,instances:u.instancePortsVisible,dangling:u.danglingPortsVisible};u.portsVisible=oe.top,u.instancePortsVisible=oe.instances,u.danglingPortsVisible=oe.dangling;try{await T()}catch(de){throw u.portsVisible=ye.top,u.instancePortsVisible=ye.instances,u.danglingPortsVisible=ye.dangling,de}}async function S(){u.initialized&&(await M({top:!u.portsVisible,instances:u.instancePortsVisible,dangling:u.danglingPortsVisible}),c.getElementById("btn-ports").classList.toggle("toggled",u.portsVisible))}async function N(){u.initialized&&(await M({top:u.portsVisible,instances:!u.instancePortsVisible,dangling:u.danglingPortsVisible}),c.getElementById("btn-all-ports").classList.toggle("toggled",u.instancePortsVisible))}async function P(){u.initialized&&(await M({top:u.portsVisible,instances:u.instancePortsVisible,dangling:!u.danglingPortsVisible}),c.getElementById("btn-dangling").classList.toggle("toggled",u.danglingPortsVisible))}async function R(){if(!u.initialized)return;u.textVisible=!u.textVisible,await h("text-visible",u.textVisible?"true":"false"),await t(),c.getElementById("btn-text").classList.toggle("toggled",u.textVisible)}async function C(){u.initialized&&(u.infoVisible=!u.infoVisible,c.getElementById("btn-info").classList.toggle("toggled",u.infoVisible),await B())}function I(){l.freezeDuringZoom=!l.freezeDuringZoom;var oe=c.getElementById("btn-freeze-zoom");oe.classList.toggle("toggled",l.freezeDuringZoom),oe.title=l.freezeDuringZoom?"Frozen zoom enabled (recommended for large layouts)":"Freeze rendering while zooming (for large layouts)",!l.freezeDuringZoom&&e.style.transform&&(e.style.transform="",l.renderedViewport=null)}async function B(){if(!u.infoVisible||!u.layoutLoaded){y.classList.remove("visible");return}var oe=await r.topCellMeta()||"";oe?y.textContent=`top cell metadata:
`+oe+`

to see instance metadata,
hover over an instance.`:y.textContent=`no top cell metadata.

to see instance metadata,
hover over an instance.`,y.classList.add("visible")}var H=null;function X(){u.initialized&&(H||(H=document.createElement("input"),H.type="file",H.accept=".lyp",H.style.display="none",H.addEventListener("change",function(){H.files.length>0&&a(H.files[0]),H.value=""}),m.appendChild(H)),H.click())}async function V(){if(u.initialized){var oe=await r.saveLyp();if(!oe){p("No layer properties to export");return}var ye=new Blob([oe],{type:"application/xml"}),de=document.createElement("a");de.href=URL.createObjectURL(ye),de.download="layer_properties.lyp",de.click(),URL.revokeObjectURL(de.href)}}async function W(){u.initialized&&await f(n()==="light"?"dark":"light")}function Y(){let oe=c.getElementById("toolbar"),ye=c.getElementById("toolbar-toggle-icon"),de=ye.closest(".toolbar-toggle");oe.classList.toggle("collapsed"),oe.classList.contains("collapsed")?(ye.className="fas fa-chevron-up",de.title="Expand toolbar"):(ye.className="fas fa-chevron-down",de.title="Collapse Toolbar")}function te(){c.getElementById("connectivity-panel").classList.remove("open"),c.getElementById("connectivity-tab").classList.remove("u-hidden");let oe=c.getElementById("layer-panel"),ye=c.getElementById("layer-tab");var de=c.getElementById("cell-tree-panel"),Ce=c.getElementById("cell-tree-tab");de&&de.classList.contains("open")&&(de.classList.remove("open"),Ce&&Ce.classList.remove("u-hidden")),oe.classList.toggle("open"),ye.classList.toggle("u-hidden",oe.classList.contains("open")),typeof s=="function"&&s()}function G(){return _!==-1?d>=_:d===-1}async function $(){!u.initialized||d===0||(d=d===-1?0:d-1,await r.setHierLevels(d),c.getElementById("hier-depth-label").textContent=String(d),c.getElementById("btn-hier-dec").disabled=d===0,c.getElementById("btn-hier-inc").disabled=!1)}async function ae(){if(!(!u.initialized||G())){d+=1;var oe=G();await r.setHierLevels(d),c.getElementById("hier-depth-label").textContent=String(d),c.getElementById("btn-hier-dec").disabled=!1,c.getElementById("btn-hier-inc").disabled=oe}}async function ge(){!u.initialized||G()||(_!==-1?(d=_,await r.setHierLevels(_),c.getElementById("hier-depth-label").textContent=String(_)):(d=-1,await r.maxHier(),c.getElementById("hier-depth-label").textContent="\u221E"),c.getElementById("btn-hier-dec").disabled=!1,c.getElementById("btn-hier-inc").disabled=!0)}async function ue(){var oe=c.getElementById("hier-depth-label"),ye=c.getElementById("btn-hier-inc"),de=c.getElementById("btn-hier-dec");if(oe){var Ce=await r.getLayoutDepth();if(Ce>0&&Ce<20){var F=Ce+1;_=F,d=F,await r.setHierLevels(F),oe.textContent=String(F),ye&&(ye.disabled=!0),de&&(de.disabled=!1);return}_=-1,d=-1,oe.textContent="\u221E",ye&&(ye.disabled=!0),de&&(de.disabled=!1)}}return{_hierAtMax:G,clearAll:v,downloadLyp:V,fitAll:A,hierDepthApplyLoaded:ue,hierDepthDec:$,hierDepthInc:ae,hierDepthMax:ge,refreshAllPortMarkers:T,replacePortVisibility:M,reload:w,setMode:x,toggleAllPorts:N,toggleDanglingPorts:P,toggleFreezeDuringZoom:I,toggleInfo:C,toggleLayerPanel:te,togglePorts:S,toggleText:R,toggleTheme:W,toggleToolbar:Y,updateTopCellMeta:B,uploadLyp:X}}function Gu({root:s,sceneState:e}){function t(){e.instance&&e.instance.zoomFitCamera()}function n(){if(e.instance){var o=e.instance,l=o.defaultCameraPos(),c=o.defaultTarget();l&&c&&(o.camera.position.copy(l),o.controls.target.copy(c),o.controls.update())}}function i(){var o=s.getElementById("scale-z-popup");o.classList.toggle("open")}s.addEventListener("click",function(o){var l=s.getElementById("scale-z-popup"),c=s.getElementById("btn-scale-z");l&&c&&!c.contains(o.target)&&l.classList.remove("open")});function r(o){var l=e.instance;if(l){e.currentZScale=parseFloat(o);for(var c in l.layerGroups)l.layerGroups[c].scale.z=e.currentZScale;s.getElementById("scale-z-value").textContent=e.currentZScale.toFixed(1)+"x"}}function a(){var o=e.instance;if(o){e.edgesVisible=!e.edgesVisible,s.getElementById("btn-edges").classList.toggle("toggled",e.edgesVisible);for(var l in o.layerGroups){var c=o.layerGroups[l];c.traverse(h=>{h.name==="_edges"&&(h.visible=e.edgesVisible)})}}}return{applyScaleZ:r,resetView:n,toggleEdges:a,toggleScaleZ:i,zoomFit:t}}function Wu({root:s,toggleCellTreePanel:e,toggleConnectivityPanel:t,toggleLayerPanel:n}){function i(){var a=s.getElementById("cell-tree-panel");a&&a.classList.contains("open")&&e(),a=s.getElementById("layer-panel"),a&&a.classList.contains("open")&&n(),a=s.getElementById("connectivity-panel"),a&&a.classList.contains("open")&&t()}function r(){var a=s.getElementById("panel-backdrop");if(a){var o=(s.getElementById("cell-tree-panel")||{}).classList,l=(s.getElementById("layer-panel")||{}).classList;a.classList.toggle("active",o&&o.contains("open")||l&&l.contains("open")||s.getElementById("connectivity-panel")?.classList.contains("open"))}}return s.addEventListener("keydown",function(a){a.key==="Escape"&&i()}),{_closePanels:i,_updateBackdrop:r}}var Xu=["connectivity-layer-a","connectivity-via","connectivity-layer-b"];function Yu({root:s,localRequest:e,showToast:t,_updateBackdrop:n}){let i=s.getElementById("connectivity-list"),r={symbols:[],connections:[]},a=!1;function o(g){a=g;for(let y of s.querySelectorAll(".connectivity-editor input, .connectivity-editor button, .connectivity-rule-remove"))y.disabled=g}async function l(g){if(a)return null;o(!0);try{let y=await e({action:"setConnectivity",connectivity:g});return y.status==="error"&&t(y.error.message),y}finally{o(!1)}}function c(g){return l({symbols:r.symbols,connections:g})}function h(){let[g,y,u]=Xu.map(_=>s.getElementById(_).value.trim());if(!g||!u)return t("Enter both layers, as a symbol name or a layer/datatype expression"),Promise.resolve();let d=y?{layer_a:g,via:y,layer_b:u}:{layer_a:g,layer_b:u};return c([...r.connections,d]).then(_=>{if(_?.status==="ok")for(let x of Xu)s.getElementById(x).value=""})}function f(){return l({symbols:[],connections:[]})}function p(g={}){r={symbols:g.symbols??[],connections:g.connections??[]},i.replaceChildren();let y=document.createElement("p");y.className="connectivity-empty",y.textContent="Each physical layer traces its own touching shapes. These rules add cross-layer connectivity.",i.append(y);function u(d,_,x,v){if(!_?.length)return;let A=document.createElement("div");A.className="connectivity-section";let w=document.createElement("h4");w.textContent=d,A.append(w),_.forEach((b,T)=>{let[M,S]=x(b),N=document.createElement("div");N.className="connectivity-rule";let P=document.createElement("span");if(P.className="connectivity-rule-label",P.textContent=M,N.append(P),S.forEach((R,C)=>{if(C){let B=document.createElement("span");B.className="connectivity-arrow",B.textContent="\u2194",N.append(B)}let I=document.createElement("code");I.textContent=R,N.append(I)}),v){let R=document.createElement("button");R.type="button",R.className="connectivity-rule-remove",R.title="Remove",R.disabled=a;let C=document.createElement("i");C.className="fas fa-xmark",R.append(C),R.onclick=()=>Promise.resolve(v(T)).catch(I=>t(I.message)),N.append(R)}A.append(N)}),i.append(A)}if(u("Connections",r.connections,d=>[d.via?"Via connection":"Direct connection",d.via?[d.layer_a,d.via,d.layer_b]:[d.layer_a,d.layer_b]],d=>c(r.connections.filter((_,x)=>x!==d))),u("Symbols",r.symbols,d=>[d.name,[d.expression]]),i.children.length===1){let d=document.createElement("p");d.className="connectivity-empty",d.textContent="No cross-layer connectivity was supplied.",i.append(d)}}function m(){for(let[y,u]of[["layer-panel","layer-tab"],["cell-tree-panel","cell-tree-tab"]])s.getElementById(y).classList.remove("open"),s.getElementById(u).classList.remove("u-hidden");let g=s.getElementById("connectivity-panel").classList.toggle("open");s.getElementById("connectivity-tab").classList.toggle("u-hidden",g),n()}return p(),{renderConnectivity:p,toggleConnectivityPanel:m,addConnectivityConnection:h,clearConnectivity:f}}var yu={};Tu(yu,{ACESFilmicToneMapping:()=>ep,AddEquation:()=>$n,AddOperation:()=>Kf,AdditiveAnimationBlendMode:()=>lu,AdditiveBlending:()=>sc,AgXToneMapping:()=>np,AlphaFormat:()=>ap,AlwaysCompare:()=>Ep,AlwaysDepth:()=>Gf,AlwaysStencilFunc:()=>Uc,AmbientLight:()=>Ls,AnimationAction:()=>rl,AnimationClip:()=>Vi,AnimationLoader:()=>dh,AnimationMixer:()=>Rh,AnimationObjectGroup:()=>Ch,AnimationUtils:()=>Hv,ArcCurve:()=>mo,ArrayCamera:()=>no,ArrowHelper:()=>Kh,AttachedBindMode:()=>cc,Audio:()=>il,AudioAnalyser:()=>Th,AudioContext:()=>Gr,AudioListener:()=>Eh,AudioLoader:()=>bh,AxesHelper:()=>$h,BackSide:()=>Vt,BasicDepthPacking:()=>mp,BasicShadowMap:()=>bm,BatchedMesh:()=>uo,Bone:()=>Er,BooleanKeyframeTrack:()=>Hn,Box2:()=>Fh,Box3:()=>Et,Box3Helper:()=>Zh,BoxGeometry:()=>Ii,BoxHelper:()=>qh,BufferAttribute:()=>et,BufferGeometry:()=>Ye,BufferGeometryLoader:()=>tl,ByteType:()=>sp,Cache:()=>Un,Camera:()=>Ss,CameraHelper:()=>Yh,CanvasTexture:()=>oh,CapsuleGeometry:()=>Mo,CatmullRomCurve3:()=>go,CineonToneMapping:()=>Qf,CircleGeometry:()=>bo,ClampToEdgeWrapping:()=>Ot,Clock:()=>nl,Color:()=>Se,ColorKeyframeTrack:()=>zr,ColorManagement:()=>it,CompressedArrayTexture:()=>rh,CompressedCubeTexture:()=>ah,CompressedTexture:()=>Cs,CompressedTextureLoader:()=>fh,ConeGeometry:()=>So,ConstantAlphaFactor:()=>kf,ConstantColorFactor:()=>Bf,CubeCamera:()=>eo,CubeReflectionMapping:()=>Vn,CubeRefractionMapping:()=>ni,CubeTexture:()=>Di,CubeTextureLoader:()=>ph,CubeUVReflectionMapping:()=>Ds,CubicBezierCurve:()=>Tr,CubicBezierCurve3:()=>yo,CubicInterpolant:()=>Wo,CullFaceBack:()=>ic,CullFaceFront:()=>Ef,CullFaceFrontBack:()=>Mm,CullFaceNone:()=>Sf,Curve:()=>$t,CurvePath:()=>vo,CustomBlending:()=>Tf,CustomToneMapping:()=>tp,CylinderGeometry:()=>Ps,Cylindrical:()=>Oh,Data3DTexture:()=>pr,DataArrayTexture:()=>vs,DataTexture:()=>Bn,DataTextureLoader:()=>mh,DataUtils:()=>Cg,DecrementStencilOp:()=>Nm,DecrementWrapStencilOp:()=>Om,DefaultLoadingManager:()=>Gp,DepthFormat:()=>ei,DepthStencilFormat:()=>Li,DepthTexture:()=>vr,DetachedBindMode:()=>ip,DirectionalLight:()=>Gi,DirectionalLightHelper:()=>Xh,DiscreteInterpolant:()=>Xo,DisplayP3ColorSpace:()=>cl,DodecahedronGeometry:()=>Eo,DoubleSide:()=>mn,DstAlphaFactor:()=>Df,DstColorFactor:()=>Uf,DynamicCopyUsage:()=>$m,DynamicDrawUsage:()=>Xm,DynamicReadUsage:()=>Zm,EdgesGeometry:()=>wo,EllipseCurve:()=>Rs,EqualCompare:()=>vp,EqualDepth:()=>Xf,EqualStencilFunc:()=>km,EquirectangularReflectionMapping:()=>tr,EquirectangularRefractionMapping:()=>nr,Euler:()=>mr,EventDispatcher:()=>Kt,ExtrudeGeometry:()=>To,FileLoader:()=>dn,Float16BufferAttribute:()=>Yc,Float32BufferAttribute:()=>Pe,Float64BufferAttribute:()=>qc,FloatType:()=>cn,Fog:()=>ro,FogExp2:()=>so,FramebufferTexture:()=>sh,FrontSide:()=>kn,Frustum:()=>Ni,GLBufferAttribute:()=>Dh,GLSL1:()=>Qm,GLSL3:()=>Oc,GreaterCompare:()=>Mp,GreaterDepth:()=>qf,GreaterEqualCompare:()=>Sp,GreaterEqualDepth:()=>Yf,GreaterEqualStencilFunc:()=>Wm,GreaterStencilFunc:()=>Hm,GridHelper:()=>Gh,Group:()=>jn,HalfFloatType:()=>ys,HemisphereLight:()=>qo,HemisphereLightHelper:()=>Hh,IcosahedronGeometry:()=>Ao,ImageBitmapLoader:()=>Mh,ImageLoader:()=>Hi,ImageUtils:()=>fr,IncrementStencilOp:()=>Dm,IncrementWrapStencilOp:()=>Um,InstancedBufferAttribute:()=>si,InstancedBufferGeometry:()=>el,InstancedInterleavedBuffer:()=>Ih,InstancedMesh:()=>ho,Int16BufferAttribute:()=>Wc,Int32BufferAttribute:()=>Xc,Int8BufferAttribute:()=>Vc,IntType:()=>tu,InterleavedBuffer:()=>As,InterleavedBufferAttribute:()=>Ui,Interpolant:()=>Bi,InterpolateDiscrete:()=>rr,InterpolateLinear:()=>ar,InterpolateSmooth:()=>qa,InvertStencilOp:()=>Fm,KeepStencilOp:()=>Si,KeyframeTrack:()=>jt,LOD:()=>oo,LatheGeometry:()=>Lr,Layers:()=>Ms,LessCompare:()=>xp,LessDepth:()=>Wf,LessEqualCompare:()=>hu,LessEqualDepth:()=>er,LessEqualStencilFunc:()=>Vm,LessStencilFunc:()=>zm,Light:()=>Mn,LightProbe:()=>jo,Line:()=>vn,Line3:()=>Bh,LineBasicMaterial:()=>Lt,LineCurve:()=>Ar,LineCurve3:()=>_o,LineDashedMaterial:()=>Go,LineLoop:()=>fo,LineSegments:()=>sn,LinearDisplayP3ColorSpace:()=>Xr,LinearEncoding:()=>cu,LinearFilter:()=>yt,LinearInterpolant:()=>Br,LinearMipMapLinearFilter:()=>Am,LinearMipMapNearestFilter:()=>Tm,LinearMipmapLinearFilter:()=>ii,LinearMipmapNearestFilter:()=>eu,LinearSRGBColorSpace:()=>yn,LinearToneMapping:()=>$f,LinearTransfer:()=>lr,Loader:()=>Bt,LoaderUtils:()=>Hr,LoadingManager:()=>kr,LoopOnce:()=>dp,LoopPingPong:()=>pp,LoopRepeat:()=>fp,LuminanceAlphaFormat:()=>lp,LuminanceFormat:()=>op,MOUSE:()=>oi,Material:()=>Pt,MaterialLoader:()=>Qo,MathUtils:()=>Yr,Matrix3:()=>Xe,Matrix4:()=>Be,MaxEquation:()=>lc,Mesh:()=>xt,MeshBasicMaterial:()=>xn,MeshDepthMaterial:()=>Mr,MeshDistanceMaterial:()=>br,MeshLambertMaterial:()=>Vo,MeshMatcapMaterial:()=>Ho,MeshNormalMaterial:()=>ko,MeshPhongMaterial:()=>Bo,MeshPhysicalMaterial:()=>Fo,MeshStandardMaterial:()=>Fr,MeshToonMaterial:()=>zo,MinEquation:()=>oc,MirroredRepeatWrapping:()=>sr,MixOperation:()=>Jf,MultiplyBlending:()=>ac,MultiplyOperation:()=>Wr,NearestFilter:()=>mt,NearestMipMapLinearFilter:()=>wm,NearestMipMapNearestFilter:()=>Em,NearestMipmapLinearFilter:()=>Zs,NearestMipmapNearestFilter:()=>Ka,NeverCompare:()=>_p,NeverDepth:()=>Hf,NeverStencilFunc:()=>Bm,NoBlending:()=>On,NoColorSpace:()=>Zt,NoToneMapping:()=>Fn,NormalAnimationBlendMode:()=>ll,NormalBlending:()=>Ri,NotEqualCompare:()=>bp,NotEqualDepth:()=>Zf,NotEqualStencilFunc:()=>Gm,NumberKeyframeTrack:()=>zi,Object3D:()=>tt,ObjectLoader:()=>vh,ObjectSpaceNormalMap:()=>yp,OctahedronGeometry:()=>Ur,OneFactor:()=>Pf,OneMinusConstantAlphaFactor:()=>Vf,OneMinusConstantColorFactor:()=>zf,OneMinusDstAlphaFactor:()=>Nf,OneMinusDstColorFactor:()=>Of,OneMinusSrcAlphaFactor:()=>Ja,OneMinusSrcColorFactor:()=>If,OrthographicCamera:()=>Es,P3Primaries:()=>hr,PCFShadowMap:()=>Qh,PCFSoftShadowMap:()=>wf,PMREMGenerator:()=>xr,Path:()=>Oi,PerspectiveCamera:()=>_t,Plane:()=>tn,PlaneGeometry:()=>_r,PlaneHelper:()=>Jh,PointLight:()=>Jo,PointLightHelper:()=>Vh,Points:()=>po,PointsMaterial:()=>wr,PolarGridHelper:()=>Wh,PolyhedronGeometry:()=>ri,PositionalAudio:()=>wh,PropertyBinding:()=>nt,PropertyMixer:()=>sl,QuadraticBezierCurve:()=>Cr,QuadraticBezierCurve3:()=>Rr,Quaternion:()=>St,QuaternionKeyframeTrack:()=>ai,QuaternionLinearInterpolant:()=>Yo,RED_GREEN_RGTC2_Format:()=>Dc,RED_RGTC1_Format:()=>up,REVISION:()=>vm,RGBADepthPacking:()=>gp,RGBAFormat:()=>Ft,RGBAIntegerFormat:()=>au,RGBA_ASTC_10x10_Format:()=>Ac,RGBA_ASTC_10x5_Format:()=>Ec,RGBA_ASTC_10x6_Format:()=>wc,RGBA_ASTC_10x8_Format:()=>Tc,RGBA_ASTC_12x10_Format:()=>Cc,RGBA_ASTC_12x12_Format:()=>Rc,RGBA_ASTC_4x4_Format:()=>gc,RGBA_ASTC_5x4_Format:()=>yc,RGBA_ASTC_5x5_Format:()=>_c,RGBA_ASTC_6x5_Format:()=>xc,RGBA_ASTC_6x6_Format:()=>vc,RGBA_ASTC_8x5_Format:()=>Mc,RGBA_ASTC_8x6_Format:()=>bc,RGBA_ASTC_8x8_Format:()=>Sc,RGBA_BPTC_Format:()=>Ya,RGBA_ETC2_EAC_Format:()=>mc,RGBA_PVRTC_2BPPV1_Format:()=>fc,RGBA_PVRTC_4BPPV1_Format:()=>dc,RGBA_S3TC_DXT1_Format:()=>Ga,RGBA_S3TC_DXT3_Format:()=>Wa,RGBA_S3TC_DXT5_Format:()=>Xa,RGB_BPTC_SIGNED_Format:()=>Pc,RGB_BPTC_UNSIGNED_Format:()=>Lc,RGB_ETC1_Format:()=>ou,RGB_ETC2_Format:()=>pc,RGB_PVRTC_2BPPV1_Format:()=>uc,RGB_PVRTC_4BPPV1_Format:()=>hc,RGB_S3TC_DXT1_Format:()=>Ha,RGFormat:()=>hp,RGIntegerFormat:()=>ru,RawShaderMaterial:()=>Oo,Ray:()=>_n,Raycaster:()=>Nh,Rec709Primaries:()=>cr,RectAreaLight:()=>Ko,RedFormat:()=>cp,RedIntegerFormat:()=>su,ReinhardToneMapping:()=>jf,RenderTarget:()=>Qa,RepeatWrapping:()=>ir,ReplaceStencilOp:()=>Im,ReverseSubtractEquation:()=>Cf,RingGeometry:()=>Co,SIGNED_RED_GREEN_RGTC2_Format:()=>Nc,SIGNED_RED_RGTC1_Format:()=>Ic,SRGBColorSpace:()=>gt,SRGBTransfer:()=>rt,Scene:()=>Ts,ShaderChunk:()=>Ge,ShaderLib:()=>ln,ShaderMaterial:()=>nn,ShadowMaterial:()=>Uo,Shape:()=>zn,ShapeGeometry:()=>Ro,ShapePath:()=>jh,ShapeUtils:()=>gn,ShortType:()=>rp,Skeleton:()=>co,SkeletonHelper:()=>kh,SkinnedMesh:()=>lo,Source:()=>Dn,Sphere:()=>vt,SphereGeometry:()=>Or,Spherical:()=>Is,SphericalHarmonics3:()=>$o,SplineCurve:()=>Pr,SpotLight:()=>Zo,SpotLightHelper:()=>zh,Sprite:()=>ao,SpriteMaterial:()=>Sr,SrcAlphaFactor:()=>Za,SrcAlphaSaturateFactor:()=>Ff,SrcColorFactor:()=>Lf,StaticCopyUsage:()=>Km,StaticDrawUsage:()=>ur,StaticReadUsage:()=>qm,StereoCamera:()=>Sh,StreamCopyUsage:()=>jm,StreamDrawUsage:()=>Ym,StreamReadUsage:()=>Jm,StringKeyframeTrack:()=>Gn,SubtractEquation:()=>Af,SubtractiveBlending:()=>rc,TOUCH:()=>li,TangentSpaceNormalMap:()=>ci,TetrahedronGeometry:()=>Po,Texture:()=>wt,TextureLoader:()=>gh,TorusGeometry:()=>Lo,TorusKnotGeometry:()=>Io,Triangle:()=>Nn,TriangleFanDrawMode:()=>Pm,TriangleStripDrawMode:()=>Rm,TrianglesDrawMode:()=>Cm,TubeGeometry:()=>Do,TwoPassDoubleSide:()=>Sm,UVMapping:()=>al,Uint16BufferAttribute:()=>gr,Uint32BufferAttribute:()=>yr,Uint8BufferAttribute:()=>Hc,Uint8ClampedBufferAttribute:()=>Gc,Uniform:()=>Ph,UniformsGroup:()=>Lh,UniformsLib:()=>_e,UniformsUtils:()=>Rp,UnsignedByteType:()=>un,UnsignedInt248Type:()=>Qn,UnsignedIntType:()=>In,UnsignedShort4444Type:()=>nu,UnsignedShort5551Type:()=>iu,UnsignedShortType:()=>ol,VSMShadowMap:()=>pn,Vector2:()=>ne,Vector3:()=>U,Vector4:()=>st,VectorKeyframeTrack:()=>ki,VideoTexture:()=>ih,WebGL1Renderer:()=>io,WebGL3DRenderTarget:()=>zc,WebGLArrayRenderTarget:()=>Bc,WebGLCoordinateSystem:()=>hn,WebGLCubeRenderTarget:()=>to,WebGLMultipleRenderTargets:()=>kc,WebGLRenderTarget:()=>Ht,WebGLRenderer:()=>ws,WebGLUtils:()=>Op,WebGPUCoordinateSystem:()=>_s,WireframeGeometry:()=>No,WrapAroundEnding:()=>or,ZeroCurvatureEnding:()=>Ti,ZeroFactor:()=>Rf,ZeroSlopeEnding:()=>Ai,ZeroStencilOp:()=>Lm,_SRGBAFormat:()=>$a,createCanvasElement:()=>Tp,sRGBEncoding:()=>ti});/**
 * @license
 * Copyright 2010-2023 Three.js Authors
 * SPDX-License-Identifier: MIT
 */var vm="160",oi={LEFT:0,MIDDLE:1,RIGHT:2,ROTATE:0,DOLLY:1,PAN:2},li={ROTATE:0,PAN:1,DOLLY_PAN:2,DOLLY_ROTATE:3},Sf=0,ic=1,Ef=2,Mm=3,bm=0,Qh=1,wf=2,pn=3,kn=0,Vt=1,mn=2,Sm=2,On=0,Ri=1,sc=2,rc=3,ac=4,Tf=5,$n=100,Af=101,Cf=102,oc=103,lc=104,Rf=200,Pf=201,Lf=202,If=203,Za=204,Ja=205,Df=206,Nf=207,Uf=208,Of=209,Ff=210,Bf=211,zf=212,kf=213,Vf=214,Hf=0,Gf=1,Wf=2,er=3,Xf=4,Yf=5,qf=6,Zf=7,Wr=0,Jf=1,Kf=2,Fn=0,$f=1,jf=2,Qf=3,ep=4,tp=5,np=6,cc="attached",ip="detached",al=300,Vn=301,ni=302,tr=303,nr=304,Ds=306,ir=1e3,Ot=1001,sr=1002,mt=1003,Ka=1004,Em=1004,Zs=1005,wm=1005,yt=1006,eu=1007,Tm=1007,ii=1008,Am=1008,un=1009,sp=1010,rp=1011,ol=1012,tu=1013,In=1014,cn=1015,ys=1016,nu=1017,iu=1018,Qn=1020,ap=1021,Ft=1023,op=1024,lp=1025,ei=1026,Li=1027,cp=1028,su=1029,hp=1030,ru=1031,au=1033,Ha=33776,Ga=33777,Wa=33778,Xa=33779,hc=35840,uc=35841,dc=35842,fc=35843,ou=36196,pc=37492,mc=37496,gc=37808,yc=37809,_c=37810,xc=37811,vc=37812,Mc=37813,bc=37814,Sc=37815,Ec=37816,wc=37817,Tc=37818,Ac=37819,Cc=37820,Rc=37821,Ya=36492,Pc=36494,Lc=36495,up=36283,Ic=36284,Dc=36285,Nc=36286,dp=2200,fp=2201,pp=2202,rr=2300,ar=2301,qa=2302,Ti=2400,Ai=2401,or=2402,ll=2500,lu=2501,Cm=0,Rm=1,Pm=2,cu=3e3,ti=3001,mp=3200,gp=3201,ci=0,yp=1,Zt="",gt="srgb",yn="srgb-linear",cl="display-p3",Xr="display-p3-linear",lr="linear",rt="srgb",cr="rec709",hr="p3",Lm=0,Si=7680,Im=7681,Dm=7682,Nm=7683,Um=34055,Om=34056,Fm=5386,Bm=512,zm=513,km=514,Vm=515,Hm=516,Gm=517,Wm=518,Uc=519,_p=512,xp=513,vp=514,hu=515,Mp=516,bp=517,Sp=518,Ep=519,ur=35044,Xm=35048,Ym=35040,qm=35045,Zm=35049,Jm=35041,Km=35046,$m=35050,jm=35042,Qm="100",Oc="300 es",$a=1035,hn=2e3,_s=2001,Kt=class{addEventListener(e,t){this._listeners===void 0&&(this._listeners={});let n=this._listeners;n[e]===void 0&&(n[e]=[]),n[e].indexOf(t)===-1&&n[e].push(t)}hasEventListener(e,t){if(this._listeners===void 0)return!1;let n=this._listeners;return n[e]!==void 0&&n[e].indexOf(t)!==-1}removeEventListener(e,t){if(this._listeners===void 0)return;let i=this._listeners[e];if(i!==void 0){let r=i.indexOf(t);r!==-1&&i.splice(r,1)}}dispatchEvent(e){if(this._listeners===void 0)return;let n=this._listeners[e.type];if(n!==void 0){e.target=this;let i=n.slice(0);for(let r=0,a=i.length;r<a;r++)i[r].call(this,e);e.target=null}}},Dt=["00","01","02","03","04","05","06","07","08","09","0a","0b","0c","0d","0e","0f","10","11","12","13","14","15","16","17","18","19","1a","1b","1c","1d","1e","1f","20","21","22","23","24","25","26","27","28","29","2a","2b","2c","2d","2e","2f","30","31","32","33","34","35","36","37","38","39","3a","3b","3c","3d","3e","3f","40","41","42","43","44","45","46","47","48","49","4a","4b","4c","4d","4e","4f","50","51","52","53","54","55","56","57","58","59","5a","5b","5c","5d","5e","5f","60","61","62","63","64","65","66","67","68","69","6a","6b","6c","6d","6e","6f","70","71","72","73","74","75","76","77","78","79","7a","7b","7c","7d","7e","7f","80","81","82","83","84","85","86","87","88","89","8a","8b","8c","8d","8e","8f","90","91","92","93","94","95","96","97","98","99","9a","9b","9c","9d","9e","9f","a0","a1","a2","a3","a4","a5","a6","a7","a8","a9","aa","ab","ac","ad","ae","af","b0","b1","b2","b3","b4","b5","b6","b7","b8","b9","ba","bb","bc","bd","be","bf","c0","c1","c2","c3","c4","c5","c6","c7","c8","c9","ca","cb","cc","cd","ce","cf","d0","d1","d2","d3","d4","d5","d6","d7","d8","d9","da","db","dc","dd","de","df","e0","e1","e2","e3","e4","e5","e6","e7","e8","e9","ea","eb","ec","ed","ee","ef","f0","f1","f2","f3","f4","f5","f6","f7","f8","f9","fa","fb","fc","fd","fe","ff"],qu=1234567,Pi=Math.PI/180,xs=180/Math.PI;function Jt(){let s=Math.random()*4294967295|0,e=Math.random()*4294967295|0,t=Math.random()*4294967295|0,n=Math.random()*4294967295|0;return(Dt[s&255]+Dt[s>>8&255]+Dt[s>>16&255]+Dt[s>>24&255]+"-"+Dt[e&255]+Dt[e>>8&255]+"-"+Dt[e>>16&15|64]+Dt[e>>24&255]+"-"+Dt[t&63|128]+Dt[t>>8&255]+"-"+Dt[t>>16&255]+Dt[t>>24&255]+Dt[n&255]+Dt[n>>8&255]+Dt[n>>16&255]+Dt[n>>24&255]).toLowerCase()}function ut(s,e,t){return Math.max(e,Math.min(t,s))}function uu(s,e){return(s%e+e)%e}function eg(s,e,t,n,i){return n+(s-e)*(i-n)/(t-e)}function tg(s,e,t){return s!==e?(t-s)/(e-s):0}function Js(s,e,t){return(1-t)*s+t*e}function ng(s,e,t,n){return Js(s,e,1-Math.exp(-t*n))}function ig(s,e=1){return e-Math.abs(uu(s,e*2)-e)}function sg(s,e,t){return s<=e?0:s>=t?1:(s=(s-e)/(t-e),s*s*(3-2*s))}function rg(s,e,t){return s<=e?0:s>=t?1:(s=(s-e)/(t-e),s*s*s*(s*(s*6-15)+10))}function ag(s,e){return s+Math.floor(Math.random()*(e-s+1))}function og(s,e){return s+Math.random()*(e-s)}function lg(s){return s*(.5-Math.random())}function cg(s){s!==void 0&&(qu=s);let e=qu+=1831565813;return e=Math.imul(e^e>>>15,e|1),e^=e+Math.imul(e^e>>>7,e|61),((e^e>>>14)>>>0)/4294967296}function hg(s){return s*Pi}function ug(s){return s*xs}function Fc(s){return(s&s-1)===0&&s!==0}function dg(s){return Math.pow(2,Math.ceil(Math.log(s)/Math.LN2))}function ja(s){return Math.pow(2,Math.floor(Math.log(s)/Math.LN2))}function fg(s,e,t,n,i){let r=Math.cos,a=Math.sin,o=r(t/2),l=a(t/2),c=r((e+n)/2),h=a((e+n)/2),f=r((e-n)/2),p=a((e-n)/2),m=r((n-e)/2),g=a((n-e)/2);switch(i){case"XYX":s.set(o*h,l*f,l*p,o*c);break;case"YZY":s.set(l*p,o*h,l*f,o*c);break;case"ZXZ":s.set(l*f,l*p,o*h,o*c);break;case"XZX":s.set(o*h,l*g,l*m,o*c);break;case"YXY":s.set(l*m,o*h,l*g,o*c);break;case"ZYZ":s.set(l*g,l*m,o*h,o*c);break;default:console.warn("THREE.MathUtils: .setQuaternionFromProperEuler() encountered an unknown order: "+i)}}function Wt(s,e){switch(e.constructor){case Float32Array:return s;case Uint32Array:return s/4294967295;case Uint16Array:return s/65535;case Uint8Array:return s/255;case Int32Array:return Math.max(s/2147483647,-1);case Int16Array:return Math.max(s/32767,-1);case Int8Array:return Math.max(s/127,-1);default:throw new Error("Invalid component type.")}}function We(s,e){switch(e.constructor){case Float32Array:return s;case Uint32Array:return Math.round(s*4294967295);case Uint16Array:return Math.round(s*65535);case Uint8Array:return Math.round(s*255);case Int32Array:return Math.round(s*2147483647);case Int16Array:return Math.round(s*32767);case Int8Array:return Math.round(s*127);default:throw new Error("Invalid component type.")}}var Yr={DEG2RAD:Pi,RAD2DEG:xs,generateUUID:Jt,clamp:ut,euclideanModulo:uu,mapLinear:eg,inverseLerp:tg,lerp:Js,damp:ng,pingpong:ig,smoothstep:sg,smootherstep:rg,randInt:ag,randFloat:og,randFloatSpread:lg,seededRandom:cg,degToRad:hg,radToDeg:ug,isPowerOfTwo:Fc,ceilPowerOfTwo:dg,floorPowerOfTwo:ja,setQuaternionFromProperEuler:fg,normalize:We,denormalize:Wt},ne=class s{constructor(e=0,t=0){s.prototype.isVector2=!0,this.x=e,this.y=t}get width(){return this.x}set width(e){this.x=e}get height(){return this.y}set height(e){this.y=e}set(e,t){return this.x=e,this.y=t,this}setScalar(e){return this.x=e,this.y=e,this}setX(e){return this.x=e,this}setY(e){return this.y=e,this}setComponent(e,t){switch(e){case 0:this.x=t;break;case 1:this.y=t;break;default:throw new Error("index is out of range: "+e)}return this}getComponent(e){switch(e){case 0:return this.x;case 1:return this.y;default:throw new Error("index is out of range: "+e)}}clone(){return new this.constructor(this.x,this.y)}copy(e){return this.x=e.x,this.y=e.y,this}add(e){return this.x+=e.x,this.y+=e.y,this}addScalar(e){return this.x+=e,this.y+=e,this}addVectors(e,t){return this.x=e.x+t.x,this.y=e.y+t.y,this}addScaledVector(e,t){return this.x+=e.x*t,this.y+=e.y*t,this}sub(e){return this.x-=e.x,this.y-=e.y,this}subScalar(e){return this.x-=e,this.y-=e,this}subVectors(e,t){return this.x=e.x-t.x,this.y=e.y-t.y,this}multiply(e){return this.x*=e.x,this.y*=e.y,this}multiplyScalar(e){return this.x*=e,this.y*=e,this}divide(e){return this.x/=e.x,this.y/=e.y,this}divideScalar(e){return this.multiplyScalar(1/e)}applyMatrix3(e){let t=this.x,n=this.y,i=e.elements;return this.x=i[0]*t+i[3]*n+i[6],this.y=i[1]*t+i[4]*n+i[7],this}min(e){return this.x=Math.min(this.x,e.x),this.y=Math.min(this.y,e.y),this}max(e){return this.x=Math.max(this.x,e.x),this.y=Math.max(this.y,e.y),this}clamp(e,t){return this.x=Math.max(e.x,Math.min(t.x,this.x)),this.y=Math.max(e.y,Math.min(t.y,this.y)),this}clampScalar(e,t){return this.x=Math.max(e,Math.min(t,this.x)),this.y=Math.max(e,Math.min(t,this.y)),this}clampLength(e,t){let n=this.length();return this.divideScalar(n||1).multiplyScalar(Math.max(e,Math.min(t,n)))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this}negate(){return this.x=-this.x,this.y=-this.y,this}dot(e){return this.x*e.x+this.y*e.y}cross(e){return this.x*e.y-this.y*e.x}lengthSq(){return this.x*this.x+this.y*this.y}length(){return Math.sqrt(this.x*this.x+this.y*this.y)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)}normalize(){return this.divideScalar(this.length()||1)}angle(){return Math.atan2(-this.y,-this.x)+Math.PI}angleTo(e){let t=Math.sqrt(this.lengthSq()*e.lengthSq());if(t===0)return Math.PI/2;let n=this.dot(e)/t;return Math.acos(ut(n,-1,1))}distanceTo(e){return Math.sqrt(this.distanceToSquared(e))}distanceToSquared(e){let t=this.x-e.x,n=this.y-e.y;return t*t+n*n}manhattanDistanceTo(e){return Math.abs(this.x-e.x)+Math.abs(this.y-e.y)}setLength(e){return this.normalize().multiplyScalar(e)}lerp(e,t){return this.x+=(e.x-this.x)*t,this.y+=(e.y-this.y)*t,this}lerpVectors(e,t,n){return this.x=e.x+(t.x-e.x)*n,this.y=e.y+(t.y-e.y)*n,this}equals(e){return e.x===this.x&&e.y===this.y}fromArray(e,t=0){return this.x=e[t],this.y=e[t+1],this}toArray(e=[],t=0){return e[t]=this.x,e[t+1]=this.y,e}fromBufferAttribute(e,t){return this.x=e.getX(t),this.y=e.getY(t),this}rotateAround(e,t){let n=Math.cos(t),i=Math.sin(t),r=this.x-e.x,a=this.y-e.y;return this.x=r*n-a*i+e.x,this.y=r*i+a*n+e.y,this}random(){return this.x=Math.random(),this.y=Math.random(),this}*[Symbol.iterator](){yield this.x,yield this.y}},Xe=class s{constructor(e,t,n,i,r,a,o,l,c){s.prototype.isMatrix3=!0,this.elements=[1,0,0,0,1,0,0,0,1],e!==void 0&&this.set(e,t,n,i,r,a,o,l,c)}set(e,t,n,i,r,a,o,l,c){let h=this.elements;return h[0]=e,h[1]=i,h[2]=o,h[3]=t,h[4]=r,h[5]=l,h[6]=n,h[7]=a,h[8]=c,this}identity(){return this.set(1,0,0,0,1,0,0,0,1),this}copy(e){let t=this.elements,n=e.elements;return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t[6]=n[6],t[7]=n[7],t[8]=n[8],this}extractBasis(e,t,n){return e.setFromMatrix3Column(this,0),t.setFromMatrix3Column(this,1),n.setFromMatrix3Column(this,2),this}setFromMatrix4(e){let t=e.elements;return this.set(t[0],t[4],t[8],t[1],t[5],t[9],t[2],t[6],t[10]),this}multiply(e){return this.multiplyMatrices(this,e)}premultiply(e){return this.multiplyMatrices(e,this)}multiplyMatrices(e,t){let n=e.elements,i=t.elements,r=this.elements,a=n[0],o=n[3],l=n[6],c=n[1],h=n[4],f=n[7],p=n[2],m=n[5],g=n[8],y=i[0],u=i[3],d=i[6],_=i[1],x=i[4],v=i[7],A=i[2],w=i[5],b=i[8];return r[0]=a*y+o*_+l*A,r[3]=a*u+o*x+l*w,r[6]=a*d+o*v+l*b,r[1]=c*y+h*_+f*A,r[4]=c*u+h*x+f*w,r[7]=c*d+h*v+f*b,r[2]=p*y+m*_+g*A,r[5]=p*u+m*x+g*w,r[8]=p*d+m*v+g*b,this}multiplyScalar(e){let t=this.elements;return t[0]*=e,t[3]*=e,t[6]*=e,t[1]*=e,t[4]*=e,t[7]*=e,t[2]*=e,t[5]*=e,t[8]*=e,this}determinant(){let e=this.elements,t=e[0],n=e[1],i=e[2],r=e[3],a=e[4],o=e[5],l=e[6],c=e[7],h=e[8];return t*a*h-t*o*c-n*r*h+n*o*l+i*r*c-i*a*l}invert(){let e=this.elements,t=e[0],n=e[1],i=e[2],r=e[3],a=e[4],o=e[5],l=e[6],c=e[7],h=e[8],f=h*a-o*c,p=o*l-h*r,m=c*r-a*l,g=t*f+n*p+i*m;if(g===0)return this.set(0,0,0,0,0,0,0,0,0);let y=1/g;return e[0]=f*y,e[1]=(i*c-h*n)*y,e[2]=(o*n-i*a)*y,e[3]=p*y,e[4]=(h*t-i*l)*y,e[5]=(i*r-o*t)*y,e[6]=m*y,e[7]=(n*l-c*t)*y,e[8]=(a*t-n*r)*y,this}transpose(){let e,t=this.elements;return e=t[1],t[1]=t[3],t[3]=e,e=t[2],t[2]=t[6],t[6]=e,e=t[5],t[5]=t[7],t[7]=e,this}getNormalMatrix(e){return this.setFromMatrix4(e).invert().transpose()}transposeIntoArray(e){let t=this.elements;return e[0]=t[0],e[1]=t[3],e[2]=t[6],e[3]=t[1],e[4]=t[4],e[5]=t[7],e[6]=t[2],e[7]=t[5],e[8]=t[8],this}setUvTransform(e,t,n,i,r,a,o){let l=Math.cos(r),c=Math.sin(r);return this.set(n*l,n*c,-n*(l*a+c*o)+a+e,-i*c,i*l,-i*(-c*a+l*o)+o+t,0,0,1),this}scale(e,t){return this.premultiply(Ml.makeScale(e,t)),this}rotate(e){return this.premultiply(Ml.makeRotation(-e)),this}translate(e,t){return this.premultiply(Ml.makeTranslation(e,t)),this}makeTranslation(e,t){return e.isVector2?this.set(1,0,e.x,0,1,e.y,0,0,1):this.set(1,0,e,0,1,t,0,0,1),this}makeRotation(e){let t=Math.cos(e),n=Math.sin(e);return this.set(t,-n,0,n,t,0,0,0,1),this}makeScale(e,t){return this.set(e,0,0,0,t,0,0,0,1),this}equals(e){let t=this.elements,n=e.elements;for(let i=0;i<9;i++)if(t[i]!==n[i])return!1;return!0}fromArray(e,t=0){for(let n=0;n<9;n++)this.elements[n]=e[n+t];return this}toArray(e=[],t=0){let n=this.elements;return e[t]=n[0],e[t+1]=n[1],e[t+2]=n[2],e[t+3]=n[3],e[t+4]=n[4],e[t+5]=n[5],e[t+6]=n[6],e[t+7]=n[7],e[t+8]=n[8],e}clone(){return new this.constructor().fromArray(this.elements)}},Ml=new Xe;function wp(s){for(let e=s.length-1;e>=0;--e)if(s[e]>=65535)return!0;return!1}var pg={Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array};function us(s,e){return new pg[s](e)}function dr(s){return document.createElementNS("http://www.w3.org/1999/xhtml",s)}function Tp(){let s=dr("canvas");return s.style.display="block",s}var Zu={};function Ks(s){s in Zu||(Zu[s]=!0,console.warn(s))}var Ju=new Xe().set(.8224621,.177538,0,.0331941,.9668058,0,.0170827,.0723974,.9105199),Ku=new Xe().set(1.2249401,-.2249404,0,-.0420569,1.0420571,0,-.0196376,-.0786361,1.0982735),Kr={[yn]:{transfer:lr,primaries:cr,toReference:s=>s,fromReference:s=>s},[gt]:{transfer:rt,primaries:cr,toReference:s=>s.convertSRGBToLinear(),fromReference:s=>s.convertLinearToSRGB()},[Xr]:{transfer:lr,primaries:hr,toReference:s=>s.applyMatrix3(Ku),fromReference:s=>s.applyMatrix3(Ju)},[cl]:{transfer:rt,primaries:hr,toReference:s=>s.convertSRGBToLinear().applyMatrix3(Ku),fromReference:s=>s.applyMatrix3(Ju).convertLinearToSRGB()}},mg=new Set([yn,Xr]),it={enabled:!0,_workingColorSpace:yn,get workingColorSpace(){return this._workingColorSpace},set workingColorSpace(s){if(!mg.has(s))throw new Error(`Unsupported working color space, "${s}".`);this._workingColorSpace=s},convert:function(s,e,t){if(this.enabled===!1||e===t||!e||!t)return s;let n=Kr[e].toReference,i=Kr[t].fromReference;return i(n(s))},fromWorkingColorSpace:function(s,e){return this.convert(s,this._workingColorSpace,e)},toWorkingColorSpace:function(s,e){return this.convert(s,e,this._workingColorSpace)},getPrimaries:function(s){return Kr[s].primaries},getTransfer:function(s){return s===Zt?lr:Kr[s].transfer}};function ms(s){return s<.04045?s*.0773993808:Math.pow(s*.9478672986+.0521327014,2.4)}function bl(s){return s<.0031308?s*12.92:1.055*Math.pow(s,.41666)-.055}var Wi,fr=class{static getDataURL(e){if(/^data:/i.test(e.src)||typeof HTMLCanvasElement>"u")return e.src;let t;if(e instanceof HTMLCanvasElement)t=e;else{Wi===void 0&&(Wi=dr("canvas")),Wi.width=e.width,Wi.height=e.height;let n=Wi.getContext("2d");e instanceof ImageData?n.putImageData(e,0,0):n.drawImage(e,0,0,e.width,e.height),t=Wi}return t.width>2048||t.height>2048?(console.warn("THREE.ImageUtils.getDataURL: Image converted to jpg for performance reasons",e),t.toDataURL("image/jpeg",.6)):t.toDataURL("image/png")}static sRGBToLinear(e){if(typeof HTMLImageElement<"u"&&e instanceof HTMLImageElement||typeof HTMLCanvasElement<"u"&&e instanceof HTMLCanvasElement||typeof ImageBitmap<"u"&&e instanceof ImageBitmap){let t=dr("canvas");t.width=e.width,t.height=e.height;let n=t.getContext("2d");n.drawImage(e,0,0,e.width,e.height);let i=n.getImageData(0,0,e.width,e.height),r=i.data;for(let a=0;a<r.length;a++)r[a]=ms(r[a]/255)*255;return n.putImageData(i,0,0),t}else if(e.data){let t=e.data.slice(0);for(let n=0;n<t.length;n++)t instanceof Uint8Array||t instanceof Uint8ClampedArray?t[n]=Math.floor(ms(t[n]/255)*255):t[n]=ms(t[n]);return{data:t,width:e.width,height:e.height}}else return console.warn("THREE.ImageUtils.sRGBToLinear(): Unsupported image type. No color space conversion applied."),e}},gg=0,Dn=class{constructor(e=null){this.isSource=!0,Object.defineProperty(this,"id",{value:gg++}),this.uuid=Jt(),this.data=e,this.version=0}set needsUpdate(e){e===!0&&this.version++}toJSON(e){let t=e===void 0||typeof e=="string";if(!t&&e.images[this.uuid]!==void 0)return e.images[this.uuid];let n={uuid:this.uuid,url:""},i=this.data;if(i!==null){let r;if(Array.isArray(i)){r=[];for(let a=0,o=i.length;a<o;a++)i[a].isDataTexture?r.push(Sl(i[a].image)):r.push(Sl(i[a]))}else r=Sl(i);n.url=r}return t||(e.images[this.uuid]=n),n}};function Sl(s){return typeof HTMLImageElement<"u"&&s instanceof HTMLImageElement||typeof HTMLCanvasElement<"u"&&s instanceof HTMLCanvasElement||typeof ImageBitmap<"u"&&s instanceof ImageBitmap?fr.getDataURL(s):s.data?{data:Array.from(s.data),width:s.width,height:s.height,type:s.data.constructor.name}:(console.warn("THREE.Texture: Unable to serialize Texture."),{})}var yg=0,wt=class s extends Kt{constructor(e=s.DEFAULT_IMAGE,t=s.DEFAULT_MAPPING,n=Ot,i=Ot,r=yt,a=ii,o=Ft,l=un,c=s.DEFAULT_ANISOTROPY,h=Zt){super(),this.isTexture=!0,Object.defineProperty(this,"id",{value:yg++}),this.uuid=Jt(),this.name="",this.source=new Dn(e),this.mipmaps=[],this.mapping=t,this.channel=0,this.wrapS=n,this.wrapT=i,this.magFilter=r,this.minFilter=a,this.anisotropy=c,this.format=o,this.internalFormat=null,this.type=l,this.offset=new ne(0,0),this.repeat=new ne(1,1),this.center=new ne(0,0),this.rotation=0,this.matrixAutoUpdate=!0,this.matrix=new Xe,this.generateMipmaps=!0,this.premultiplyAlpha=!1,this.flipY=!0,this.unpackAlignment=4,typeof h=="string"?this.colorSpace=h:(Ks("THREE.Texture: Property .encoding has been replaced by .colorSpace."),this.colorSpace=h===ti?gt:Zt),this.userData={},this.version=0,this.onUpdate=null,this.isRenderTargetTexture=!1,this.needsPMREMUpdate=!1}get image(){return this.source.data}set image(e=null){this.source.data=e}updateMatrix(){this.matrix.setUvTransform(this.offset.x,this.offset.y,this.repeat.x,this.repeat.y,this.rotation,this.center.x,this.center.y)}clone(){return new this.constructor().copy(this)}copy(e){return this.name=e.name,this.source=e.source,this.mipmaps=e.mipmaps.slice(0),this.mapping=e.mapping,this.channel=e.channel,this.wrapS=e.wrapS,this.wrapT=e.wrapT,this.magFilter=e.magFilter,this.minFilter=e.minFilter,this.anisotropy=e.anisotropy,this.format=e.format,this.internalFormat=e.internalFormat,this.type=e.type,this.offset.copy(e.offset),this.repeat.copy(e.repeat),this.center.copy(e.center),this.rotation=e.rotation,this.matrixAutoUpdate=e.matrixAutoUpdate,this.matrix.copy(e.matrix),this.generateMipmaps=e.generateMipmaps,this.premultiplyAlpha=e.premultiplyAlpha,this.flipY=e.flipY,this.unpackAlignment=e.unpackAlignment,this.colorSpace=e.colorSpace,this.userData=JSON.parse(JSON.stringify(e.userData)),this.needsUpdate=!0,this}toJSON(e){let t=e===void 0||typeof e=="string";if(!t&&e.textures[this.uuid]!==void 0)return e.textures[this.uuid];let n={metadata:{version:4.6,type:"Texture",generator:"Texture.toJSON"},uuid:this.uuid,name:this.name,image:this.source.toJSON(e).uuid,mapping:this.mapping,channel:this.channel,repeat:[this.repeat.x,this.repeat.y],offset:[this.offset.x,this.offset.y],center:[this.center.x,this.center.y],rotation:this.rotation,wrap:[this.wrapS,this.wrapT],format:this.format,internalFormat:this.internalFormat,type:this.type,colorSpace:this.colorSpace,minFilter:this.minFilter,magFilter:this.magFilter,anisotropy:this.anisotropy,flipY:this.flipY,generateMipmaps:this.generateMipmaps,premultiplyAlpha:this.premultiplyAlpha,unpackAlignment:this.unpackAlignment};return Object.keys(this.userData).length>0&&(n.userData=this.userData),t||(e.textures[this.uuid]=n),n}dispose(){this.dispatchEvent({type:"dispose"})}transformUv(e){if(this.mapping!==al)return e;if(e.applyMatrix3(this.matrix),e.x<0||e.x>1)switch(this.wrapS){case ir:e.x=e.x-Math.floor(e.x);break;case Ot:e.x=e.x<0?0:1;break;case sr:Math.abs(Math.floor(e.x)%2)===1?e.x=Math.ceil(e.x)-e.x:e.x=e.x-Math.floor(e.x);break}if(e.y<0||e.y>1)switch(this.wrapT){case ir:e.y=e.y-Math.floor(e.y);break;case Ot:e.y=e.y<0?0:1;break;case sr:Math.abs(Math.floor(e.y)%2)===1?e.y=Math.ceil(e.y)-e.y:e.y=e.y-Math.floor(e.y);break}return this.flipY&&(e.y=1-e.y),e}set needsUpdate(e){e===!0&&(this.version++,this.source.needsUpdate=!0)}get encoding(){return Ks("THREE.Texture: Property .encoding has been replaced by .colorSpace."),this.colorSpace===gt?ti:cu}set encoding(e){Ks("THREE.Texture: Property .encoding has been replaced by .colorSpace."),this.colorSpace=e===ti?gt:Zt}};wt.DEFAULT_IMAGE=null;wt.DEFAULT_MAPPING=al;wt.DEFAULT_ANISOTROPY=1;var st=class s{constructor(e=0,t=0,n=0,i=1){s.prototype.isVector4=!0,this.x=e,this.y=t,this.z=n,this.w=i}get width(){return this.z}set width(e){this.z=e}get height(){return this.w}set height(e){this.w=e}set(e,t,n,i){return this.x=e,this.y=t,this.z=n,this.w=i,this}setScalar(e){return this.x=e,this.y=e,this.z=e,this.w=e,this}setX(e){return this.x=e,this}setY(e){return this.y=e,this}setZ(e){return this.z=e,this}setW(e){return this.w=e,this}setComponent(e,t){switch(e){case 0:this.x=t;break;case 1:this.y=t;break;case 2:this.z=t;break;case 3:this.w=t;break;default:throw new Error("index is out of range: "+e)}return this}getComponent(e){switch(e){case 0:return this.x;case 1:return this.y;case 2:return this.z;case 3:return this.w;default:throw new Error("index is out of range: "+e)}}clone(){return new this.constructor(this.x,this.y,this.z,this.w)}copy(e){return this.x=e.x,this.y=e.y,this.z=e.z,this.w=e.w!==void 0?e.w:1,this}add(e){return this.x+=e.x,this.y+=e.y,this.z+=e.z,this.w+=e.w,this}addScalar(e){return this.x+=e,this.y+=e,this.z+=e,this.w+=e,this}addVectors(e,t){return this.x=e.x+t.x,this.y=e.y+t.y,this.z=e.z+t.z,this.w=e.w+t.w,this}addScaledVector(e,t){return this.x+=e.x*t,this.y+=e.y*t,this.z+=e.z*t,this.w+=e.w*t,this}sub(e){return this.x-=e.x,this.y-=e.y,this.z-=e.z,this.w-=e.w,this}subScalar(e){return this.x-=e,this.y-=e,this.z-=e,this.w-=e,this}subVectors(e,t){return this.x=e.x-t.x,this.y=e.y-t.y,this.z=e.z-t.z,this.w=e.w-t.w,this}multiply(e){return this.x*=e.x,this.y*=e.y,this.z*=e.z,this.w*=e.w,this}multiplyScalar(e){return this.x*=e,this.y*=e,this.z*=e,this.w*=e,this}applyMatrix4(e){let t=this.x,n=this.y,i=this.z,r=this.w,a=e.elements;return this.x=a[0]*t+a[4]*n+a[8]*i+a[12]*r,this.y=a[1]*t+a[5]*n+a[9]*i+a[13]*r,this.z=a[2]*t+a[6]*n+a[10]*i+a[14]*r,this.w=a[3]*t+a[7]*n+a[11]*i+a[15]*r,this}divideScalar(e){return this.multiplyScalar(1/e)}setAxisAngleFromQuaternion(e){this.w=2*Math.acos(e.w);let t=Math.sqrt(1-e.w*e.w);return t<1e-4?(this.x=1,this.y=0,this.z=0):(this.x=e.x/t,this.y=e.y/t,this.z=e.z/t),this}setAxisAngleFromRotationMatrix(e){let t,n,i,r,l=e.elements,c=l[0],h=l[4],f=l[8],p=l[1],m=l[5],g=l[9],y=l[2],u=l[6],d=l[10];if(Math.abs(h-p)<.01&&Math.abs(f-y)<.01&&Math.abs(g-u)<.01){if(Math.abs(h+p)<.1&&Math.abs(f+y)<.1&&Math.abs(g+u)<.1&&Math.abs(c+m+d-3)<.1)return this.set(1,0,0,0),this;t=Math.PI;let x=(c+1)/2,v=(m+1)/2,A=(d+1)/2,w=(h+p)/4,b=(f+y)/4,T=(g+u)/4;return x>v&&x>A?x<.01?(n=0,i=.707106781,r=.707106781):(n=Math.sqrt(x),i=w/n,r=b/n):v>A?v<.01?(n=.707106781,i=0,r=.707106781):(i=Math.sqrt(v),n=w/i,r=T/i):A<.01?(n=.707106781,i=.707106781,r=0):(r=Math.sqrt(A),n=b/r,i=T/r),this.set(n,i,r,t),this}let _=Math.sqrt((u-g)*(u-g)+(f-y)*(f-y)+(p-h)*(p-h));return Math.abs(_)<.001&&(_=1),this.x=(u-g)/_,this.y=(f-y)/_,this.z=(p-h)/_,this.w=Math.acos((c+m+d-1)/2),this}min(e){return this.x=Math.min(this.x,e.x),this.y=Math.min(this.y,e.y),this.z=Math.min(this.z,e.z),this.w=Math.min(this.w,e.w),this}max(e){return this.x=Math.max(this.x,e.x),this.y=Math.max(this.y,e.y),this.z=Math.max(this.z,e.z),this.w=Math.max(this.w,e.w),this}clamp(e,t){return this.x=Math.max(e.x,Math.min(t.x,this.x)),this.y=Math.max(e.y,Math.min(t.y,this.y)),this.z=Math.max(e.z,Math.min(t.z,this.z)),this.w=Math.max(e.w,Math.min(t.w,this.w)),this}clampScalar(e,t){return this.x=Math.max(e,Math.min(t,this.x)),this.y=Math.max(e,Math.min(t,this.y)),this.z=Math.max(e,Math.min(t,this.z)),this.w=Math.max(e,Math.min(t,this.w)),this}clampLength(e,t){let n=this.length();return this.divideScalar(n||1).multiplyScalar(Math.max(e,Math.min(t,n)))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this.w=Math.floor(this.w),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this.w=Math.ceil(this.w),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this.w=Math.round(this.w),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this.z=Math.trunc(this.z),this.w=Math.trunc(this.w),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this.w=-this.w,this}dot(e){return this.x*e.x+this.y*e.y+this.z*e.z+this.w*e.w}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)+Math.abs(this.w)}normalize(){return this.divideScalar(this.length()||1)}setLength(e){return this.normalize().multiplyScalar(e)}lerp(e,t){return this.x+=(e.x-this.x)*t,this.y+=(e.y-this.y)*t,this.z+=(e.z-this.z)*t,this.w+=(e.w-this.w)*t,this}lerpVectors(e,t,n){return this.x=e.x+(t.x-e.x)*n,this.y=e.y+(t.y-e.y)*n,this.z=e.z+(t.z-e.z)*n,this.w=e.w+(t.w-e.w)*n,this}equals(e){return e.x===this.x&&e.y===this.y&&e.z===this.z&&e.w===this.w}fromArray(e,t=0){return this.x=e[t],this.y=e[t+1],this.z=e[t+2],this.w=e[t+3],this}toArray(e=[],t=0){return e[t]=this.x,e[t+1]=this.y,e[t+2]=this.z,e[t+3]=this.w,e}fromBufferAttribute(e,t){return this.x=e.getX(t),this.y=e.getY(t),this.z=e.getZ(t),this.w=e.getW(t),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this.w=Math.random(),this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z,yield this.w}},Qa=class extends Kt{constructor(e=1,t=1,n={}){super(),this.isRenderTarget=!0,this.width=e,this.height=t,this.depth=1,this.scissor=new st(0,0,e,t),this.scissorTest=!1,this.viewport=new st(0,0,e,t);let i={width:e,height:t,depth:1};n.encoding!==void 0&&(Ks("THREE.WebGLRenderTarget: option.encoding has been replaced by option.colorSpace."),n.colorSpace=n.encoding===ti?gt:Zt),n=Object.assign({generateMipmaps:!1,internalFormat:null,minFilter:yt,depthBuffer:!0,stencilBuffer:!1,depthTexture:null,samples:0},n),this.texture=new wt(i,n.mapping,n.wrapS,n.wrapT,n.magFilter,n.minFilter,n.format,n.type,n.anisotropy,n.colorSpace),this.texture.isRenderTargetTexture=!0,this.texture.flipY=!1,this.texture.generateMipmaps=n.generateMipmaps,this.texture.internalFormat=n.internalFormat,this.depthBuffer=n.depthBuffer,this.stencilBuffer=n.stencilBuffer,this.depthTexture=n.depthTexture,this.samples=n.samples}setSize(e,t,n=1){(this.width!==e||this.height!==t||this.depth!==n)&&(this.width=e,this.height=t,this.depth=n,this.texture.image.width=e,this.texture.image.height=t,this.texture.image.depth=n,this.dispose()),this.viewport.set(0,0,e,t),this.scissor.set(0,0,e,t)}clone(){return new this.constructor().copy(this)}copy(e){this.width=e.width,this.height=e.height,this.depth=e.depth,this.scissor.copy(e.scissor),this.scissorTest=e.scissorTest,this.viewport.copy(e.viewport),this.texture=e.texture.clone(),this.texture.isRenderTargetTexture=!0;let t=Object.assign({},e.texture.image);return this.texture.source=new Dn(t),this.depthBuffer=e.depthBuffer,this.stencilBuffer=e.stencilBuffer,e.depthTexture!==null&&(this.depthTexture=e.depthTexture.clone()),this.samples=e.samples,this}dispose(){this.dispatchEvent({type:"dispose"})}},Ht=class extends Qa{constructor(e=1,t=1,n={}){super(e,t,n),this.isWebGLRenderTarget=!0}},vs=class extends wt{constructor(e=null,t=1,n=1,i=1){super(null),this.isDataArrayTexture=!0,this.image={data:e,width:t,height:n,depth:i},this.magFilter=mt,this.minFilter=mt,this.wrapR=Ot,this.generateMipmaps=!1,this.flipY=!1,this.unpackAlignment=1}},Bc=class extends Ht{constructor(e=1,t=1,n=1,i={}){super(e,t,i),this.isWebGLArrayRenderTarget=!0,this.depth=n,this.texture=new vs(null,e,t,n),this.texture.isRenderTargetTexture=!0}},pr=class extends wt{constructor(e=null,t=1,n=1,i=1){super(null),this.isData3DTexture=!0,this.image={data:e,width:t,height:n,depth:i},this.magFilter=mt,this.minFilter=mt,this.wrapR=Ot,this.generateMipmaps=!1,this.flipY=!1,this.unpackAlignment=1}},zc=class extends Ht{constructor(e=1,t=1,n=1,i={}){super(e,t,i),this.isWebGL3DRenderTarget=!0,this.depth=n,this.texture=new pr(null,e,t,n),this.texture.isRenderTargetTexture=!0}},kc=class extends Ht{constructor(e=1,t=1,n=1,i={}){super(e,t,i),this.isWebGLMultipleRenderTargets=!0;let r=this.texture;this.texture=[];for(let a=0;a<n;a++)this.texture[a]=r.clone(),this.texture[a].isRenderTargetTexture=!0}setSize(e,t,n=1){if(this.width!==e||this.height!==t||this.depth!==n){this.width=e,this.height=t,this.depth=n;for(let i=0,r=this.texture.length;i<r;i++)this.texture[i].image.width=e,this.texture[i].image.height=t,this.texture[i].image.depth=n;this.dispose()}this.viewport.set(0,0,e,t),this.scissor.set(0,0,e,t)}copy(e){this.dispose(),this.width=e.width,this.height=e.height,this.depth=e.depth,this.scissor.copy(e.scissor),this.scissorTest=e.scissorTest,this.viewport.copy(e.viewport),this.depthBuffer=e.depthBuffer,this.stencilBuffer=e.stencilBuffer,e.depthTexture!==null&&(this.depthTexture=e.depthTexture.clone()),this.texture.length=0;for(let t=0,n=e.texture.length;t<n;t++)this.texture[t]=e.texture[t].clone(),this.texture[t].isRenderTargetTexture=!0;return this}},St=class{constructor(e=0,t=0,n=0,i=1){this.isQuaternion=!0,this._x=e,this._y=t,this._z=n,this._w=i}static slerpFlat(e,t,n,i,r,a,o){let l=n[i+0],c=n[i+1],h=n[i+2],f=n[i+3],p=r[a+0],m=r[a+1],g=r[a+2],y=r[a+3];if(o===0){e[t+0]=l,e[t+1]=c,e[t+2]=h,e[t+3]=f;return}if(o===1){e[t+0]=p,e[t+1]=m,e[t+2]=g,e[t+3]=y;return}if(f!==y||l!==p||c!==m||h!==g){let u=1-o,d=l*p+c*m+h*g+f*y,_=d>=0?1:-1,x=1-d*d;if(x>Number.EPSILON){let A=Math.sqrt(x),w=Math.atan2(A,d*_);u=Math.sin(u*w)/A,o=Math.sin(o*w)/A}let v=o*_;if(l=l*u+p*v,c=c*u+m*v,h=h*u+g*v,f=f*u+y*v,u===1-o){let A=1/Math.sqrt(l*l+c*c+h*h+f*f);l*=A,c*=A,h*=A,f*=A}}e[t]=l,e[t+1]=c,e[t+2]=h,e[t+3]=f}static multiplyQuaternionsFlat(e,t,n,i,r,a){let o=n[i],l=n[i+1],c=n[i+2],h=n[i+3],f=r[a],p=r[a+1],m=r[a+2],g=r[a+3];return e[t]=o*g+h*f+l*m-c*p,e[t+1]=l*g+h*p+c*f-o*m,e[t+2]=c*g+h*m+o*p-l*f,e[t+3]=h*g-o*f-l*p-c*m,e}get x(){return this._x}set x(e){this._x=e,this._onChangeCallback()}get y(){return this._y}set y(e){this._y=e,this._onChangeCallback()}get z(){return this._z}set z(e){this._z=e,this._onChangeCallback()}get w(){return this._w}set w(e){this._w=e,this._onChangeCallback()}set(e,t,n,i){return this._x=e,this._y=t,this._z=n,this._w=i,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._w)}copy(e){return this._x=e.x,this._y=e.y,this._z=e.z,this._w=e.w,this._onChangeCallback(),this}setFromEuler(e,t=!0){let n=e._x,i=e._y,r=e._z,a=e._order,o=Math.cos,l=Math.sin,c=o(n/2),h=o(i/2),f=o(r/2),p=l(n/2),m=l(i/2),g=l(r/2);switch(a){case"XYZ":this._x=p*h*f+c*m*g,this._y=c*m*f-p*h*g,this._z=c*h*g+p*m*f,this._w=c*h*f-p*m*g;break;case"YXZ":this._x=p*h*f+c*m*g,this._y=c*m*f-p*h*g,this._z=c*h*g-p*m*f,this._w=c*h*f+p*m*g;break;case"ZXY":this._x=p*h*f-c*m*g,this._y=c*m*f+p*h*g,this._z=c*h*g+p*m*f,this._w=c*h*f-p*m*g;break;case"ZYX":this._x=p*h*f-c*m*g,this._y=c*m*f+p*h*g,this._z=c*h*g-p*m*f,this._w=c*h*f+p*m*g;break;case"YZX":this._x=p*h*f+c*m*g,this._y=c*m*f+p*h*g,this._z=c*h*g-p*m*f,this._w=c*h*f-p*m*g;break;case"XZY":this._x=p*h*f-c*m*g,this._y=c*m*f-p*h*g,this._z=c*h*g+p*m*f,this._w=c*h*f+p*m*g;break;default:console.warn("THREE.Quaternion: .setFromEuler() encountered an unknown order: "+a)}return t===!0&&this._onChangeCallback(),this}setFromAxisAngle(e,t){let n=t/2,i=Math.sin(n);return this._x=e.x*i,this._y=e.y*i,this._z=e.z*i,this._w=Math.cos(n),this._onChangeCallback(),this}setFromRotationMatrix(e){let t=e.elements,n=t[0],i=t[4],r=t[8],a=t[1],o=t[5],l=t[9],c=t[2],h=t[6],f=t[10],p=n+o+f;if(p>0){let m=.5/Math.sqrt(p+1);this._w=.25/m,this._x=(h-l)*m,this._y=(r-c)*m,this._z=(a-i)*m}else if(n>o&&n>f){let m=2*Math.sqrt(1+n-o-f);this._w=(h-l)/m,this._x=.25*m,this._y=(i+a)/m,this._z=(r+c)/m}else if(o>f){let m=2*Math.sqrt(1+o-n-f);this._w=(r-c)/m,this._x=(i+a)/m,this._y=.25*m,this._z=(l+h)/m}else{let m=2*Math.sqrt(1+f-n-o);this._w=(a-i)/m,this._x=(r+c)/m,this._y=(l+h)/m,this._z=.25*m}return this._onChangeCallback(),this}setFromUnitVectors(e,t){let n=e.dot(t)+1;return n<Number.EPSILON?(n=0,Math.abs(e.x)>Math.abs(e.z)?(this._x=-e.y,this._y=e.x,this._z=0,this._w=n):(this._x=0,this._y=-e.z,this._z=e.y,this._w=n)):(this._x=e.y*t.z-e.z*t.y,this._y=e.z*t.x-e.x*t.z,this._z=e.x*t.y-e.y*t.x,this._w=n),this.normalize()}angleTo(e){return 2*Math.acos(Math.abs(ut(this.dot(e),-1,1)))}rotateTowards(e,t){let n=this.angleTo(e);if(n===0)return this;let i=Math.min(1,t/n);return this.slerp(e,i),this}identity(){return this.set(0,0,0,1)}invert(){return this.conjugate()}conjugate(){return this._x*=-1,this._y*=-1,this._z*=-1,this._onChangeCallback(),this}dot(e){return this._x*e._x+this._y*e._y+this._z*e._z+this._w*e._w}lengthSq(){return this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w}length(){return Math.sqrt(this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w)}normalize(){let e=this.length();return e===0?(this._x=0,this._y=0,this._z=0,this._w=1):(e=1/e,this._x=this._x*e,this._y=this._y*e,this._z=this._z*e,this._w=this._w*e),this._onChangeCallback(),this}multiply(e){return this.multiplyQuaternions(this,e)}premultiply(e){return this.multiplyQuaternions(e,this)}multiplyQuaternions(e,t){let n=e._x,i=e._y,r=e._z,a=e._w,o=t._x,l=t._y,c=t._z,h=t._w;return this._x=n*h+a*o+i*c-r*l,this._y=i*h+a*l+r*o-n*c,this._z=r*h+a*c+n*l-i*o,this._w=a*h-n*o-i*l-r*c,this._onChangeCallback(),this}slerp(e,t){if(t===0)return this;if(t===1)return this.copy(e);let n=this._x,i=this._y,r=this._z,a=this._w,o=a*e._w+n*e._x+i*e._y+r*e._z;if(o<0?(this._w=-e._w,this._x=-e._x,this._y=-e._y,this._z=-e._z,o=-o):this.copy(e),o>=1)return this._w=a,this._x=n,this._y=i,this._z=r,this;let l=1-o*o;if(l<=Number.EPSILON){let m=1-t;return this._w=m*a+t*this._w,this._x=m*n+t*this._x,this._y=m*i+t*this._y,this._z=m*r+t*this._z,this.normalize(),this}let c=Math.sqrt(l),h=Math.atan2(c,o),f=Math.sin((1-t)*h)/c,p=Math.sin(t*h)/c;return this._w=a*f+this._w*p,this._x=n*f+this._x*p,this._y=i*f+this._y*p,this._z=r*f+this._z*p,this._onChangeCallback(),this}slerpQuaternions(e,t,n){return this.copy(e).slerp(t,n)}random(){let e=Math.random(),t=Math.sqrt(1-e),n=Math.sqrt(e),i=2*Math.PI*Math.random(),r=2*Math.PI*Math.random();return this.set(t*Math.cos(i),n*Math.sin(r),n*Math.cos(r),t*Math.sin(i))}equals(e){return e._x===this._x&&e._y===this._y&&e._z===this._z&&e._w===this._w}fromArray(e,t=0){return this._x=e[t],this._y=e[t+1],this._z=e[t+2],this._w=e[t+3],this._onChangeCallback(),this}toArray(e=[],t=0){return e[t]=this._x,e[t+1]=this._y,e[t+2]=this._z,e[t+3]=this._w,e}fromBufferAttribute(e,t){return this._x=e.getX(t),this._y=e.getY(t),this._z=e.getZ(t),this._w=e.getW(t),this._onChangeCallback(),this}toJSON(){return this.toArray()}_onChange(e){return this._onChangeCallback=e,this}_onChangeCallback(){}*[Symbol.iterator](){yield this._x,yield this._y,yield this._z,yield this._w}},U=class s{constructor(e=0,t=0,n=0){s.prototype.isVector3=!0,this.x=e,this.y=t,this.z=n}set(e,t,n){return n===void 0&&(n=this.z),this.x=e,this.y=t,this.z=n,this}setScalar(e){return this.x=e,this.y=e,this.z=e,this}setX(e){return this.x=e,this}setY(e){return this.y=e,this}setZ(e){return this.z=e,this}setComponent(e,t){switch(e){case 0:this.x=t;break;case 1:this.y=t;break;case 2:this.z=t;break;default:throw new Error("index is out of range: "+e)}return this}getComponent(e){switch(e){case 0:return this.x;case 1:return this.y;case 2:return this.z;default:throw new Error("index is out of range: "+e)}}clone(){return new this.constructor(this.x,this.y,this.z)}copy(e){return this.x=e.x,this.y=e.y,this.z=e.z,this}add(e){return this.x+=e.x,this.y+=e.y,this.z+=e.z,this}addScalar(e){return this.x+=e,this.y+=e,this.z+=e,this}addVectors(e,t){return this.x=e.x+t.x,this.y=e.y+t.y,this.z=e.z+t.z,this}addScaledVector(e,t){return this.x+=e.x*t,this.y+=e.y*t,this.z+=e.z*t,this}sub(e){return this.x-=e.x,this.y-=e.y,this.z-=e.z,this}subScalar(e){return this.x-=e,this.y-=e,this.z-=e,this}subVectors(e,t){return this.x=e.x-t.x,this.y=e.y-t.y,this.z=e.z-t.z,this}multiply(e){return this.x*=e.x,this.y*=e.y,this.z*=e.z,this}multiplyScalar(e){return this.x*=e,this.y*=e,this.z*=e,this}multiplyVectors(e,t){return this.x=e.x*t.x,this.y=e.y*t.y,this.z=e.z*t.z,this}applyEuler(e){return this.applyQuaternion($u.setFromEuler(e))}applyAxisAngle(e,t){return this.applyQuaternion($u.setFromAxisAngle(e,t))}applyMatrix3(e){let t=this.x,n=this.y,i=this.z,r=e.elements;return this.x=r[0]*t+r[3]*n+r[6]*i,this.y=r[1]*t+r[4]*n+r[7]*i,this.z=r[2]*t+r[5]*n+r[8]*i,this}applyNormalMatrix(e){return this.applyMatrix3(e).normalize()}applyMatrix4(e){let t=this.x,n=this.y,i=this.z,r=e.elements,a=1/(r[3]*t+r[7]*n+r[11]*i+r[15]);return this.x=(r[0]*t+r[4]*n+r[8]*i+r[12])*a,this.y=(r[1]*t+r[5]*n+r[9]*i+r[13])*a,this.z=(r[2]*t+r[6]*n+r[10]*i+r[14])*a,this}applyQuaternion(e){let t=this.x,n=this.y,i=this.z,r=e.x,a=e.y,o=e.z,l=e.w,c=2*(a*i-o*n),h=2*(o*t-r*i),f=2*(r*n-a*t);return this.x=t+l*c+a*f-o*h,this.y=n+l*h+o*c-r*f,this.z=i+l*f+r*h-a*c,this}project(e){return this.applyMatrix4(e.matrixWorldInverse).applyMatrix4(e.projectionMatrix)}unproject(e){return this.applyMatrix4(e.projectionMatrixInverse).applyMatrix4(e.matrixWorld)}transformDirection(e){let t=this.x,n=this.y,i=this.z,r=e.elements;return this.x=r[0]*t+r[4]*n+r[8]*i,this.y=r[1]*t+r[5]*n+r[9]*i,this.z=r[2]*t+r[6]*n+r[10]*i,this.normalize()}divide(e){return this.x/=e.x,this.y/=e.y,this.z/=e.z,this}divideScalar(e){return this.multiplyScalar(1/e)}min(e){return this.x=Math.min(this.x,e.x),this.y=Math.min(this.y,e.y),this.z=Math.min(this.z,e.z),this}max(e){return this.x=Math.max(this.x,e.x),this.y=Math.max(this.y,e.y),this.z=Math.max(this.z,e.z),this}clamp(e,t){return this.x=Math.max(e.x,Math.min(t.x,this.x)),this.y=Math.max(e.y,Math.min(t.y,this.y)),this.z=Math.max(e.z,Math.min(t.z,this.z)),this}clampScalar(e,t){return this.x=Math.max(e,Math.min(t,this.x)),this.y=Math.max(e,Math.min(t,this.y)),this.z=Math.max(e,Math.min(t,this.z)),this}clampLength(e,t){let n=this.length();return this.divideScalar(n||1).multiplyScalar(Math.max(e,Math.min(t,n)))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this.z=Math.trunc(this.z),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this}dot(e){return this.x*e.x+this.y*e.y+this.z*e.z}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)}normalize(){return this.divideScalar(this.length()||1)}setLength(e){return this.normalize().multiplyScalar(e)}lerp(e,t){return this.x+=(e.x-this.x)*t,this.y+=(e.y-this.y)*t,this.z+=(e.z-this.z)*t,this}lerpVectors(e,t,n){return this.x=e.x+(t.x-e.x)*n,this.y=e.y+(t.y-e.y)*n,this.z=e.z+(t.z-e.z)*n,this}cross(e){return this.crossVectors(this,e)}crossVectors(e,t){let n=e.x,i=e.y,r=e.z,a=t.x,o=t.y,l=t.z;return this.x=i*l-r*o,this.y=r*a-n*l,this.z=n*o-i*a,this}projectOnVector(e){let t=e.lengthSq();if(t===0)return this.set(0,0,0);let n=e.dot(this)/t;return this.copy(e).multiplyScalar(n)}projectOnPlane(e){return El.copy(this).projectOnVector(e),this.sub(El)}reflect(e){return this.sub(El.copy(e).multiplyScalar(2*this.dot(e)))}angleTo(e){let t=Math.sqrt(this.lengthSq()*e.lengthSq());if(t===0)return Math.PI/2;let n=this.dot(e)/t;return Math.acos(ut(n,-1,1))}distanceTo(e){return Math.sqrt(this.distanceToSquared(e))}distanceToSquared(e){let t=this.x-e.x,n=this.y-e.y,i=this.z-e.z;return t*t+n*n+i*i}manhattanDistanceTo(e){return Math.abs(this.x-e.x)+Math.abs(this.y-e.y)+Math.abs(this.z-e.z)}setFromSpherical(e){return this.setFromSphericalCoords(e.radius,e.phi,e.theta)}setFromSphericalCoords(e,t,n){let i=Math.sin(t)*e;return this.x=i*Math.sin(n),this.y=Math.cos(t)*e,this.z=i*Math.cos(n),this}setFromCylindrical(e){return this.setFromCylindricalCoords(e.radius,e.theta,e.y)}setFromCylindricalCoords(e,t,n){return this.x=e*Math.sin(t),this.y=n,this.z=e*Math.cos(t),this}setFromMatrixPosition(e){let t=e.elements;return this.x=t[12],this.y=t[13],this.z=t[14],this}setFromMatrixScale(e){let t=this.setFromMatrixColumn(e,0).length(),n=this.setFromMatrixColumn(e,1).length(),i=this.setFromMatrixColumn(e,2).length();return this.x=t,this.y=n,this.z=i,this}setFromMatrixColumn(e,t){return this.fromArray(e.elements,t*4)}setFromMatrix3Column(e,t){return this.fromArray(e.elements,t*3)}setFromEuler(e){return this.x=e._x,this.y=e._y,this.z=e._z,this}setFromColor(e){return this.x=e.r,this.y=e.g,this.z=e.b,this}equals(e){return e.x===this.x&&e.y===this.y&&e.z===this.z}fromArray(e,t=0){return this.x=e[t],this.y=e[t+1],this.z=e[t+2],this}toArray(e=[],t=0){return e[t]=this.x,e[t+1]=this.y,e[t+2]=this.z,e}fromBufferAttribute(e,t){return this.x=e.getX(t),this.y=e.getY(t),this.z=e.getZ(t),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this}randomDirection(){let e=(Math.random()-.5)*2,t=Math.random()*Math.PI*2,n=Math.sqrt(1-e**2);return this.x=n*Math.cos(t),this.y=n*Math.sin(t),this.z=e,this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z}},El=new U,$u=new St,Et=class{constructor(e=new U(1/0,1/0,1/0),t=new U(-1/0,-1/0,-1/0)){this.isBox3=!0,this.min=e,this.max=t}set(e,t){return this.min.copy(e),this.max.copy(t),this}setFromArray(e){this.makeEmpty();for(let t=0,n=e.length;t<n;t+=3)this.expandByPoint(rn.fromArray(e,t));return this}setFromBufferAttribute(e){this.makeEmpty();for(let t=0,n=e.count;t<n;t++)this.expandByPoint(rn.fromBufferAttribute(e,t));return this}setFromPoints(e){this.makeEmpty();for(let t=0,n=e.length;t<n;t++)this.expandByPoint(e[t]);return this}setFromCenterAndSize(e,t){let n=rn.copy(t).multiplyScalar(.5);return this.min.copy(e).sub(n),this.max.copy(e).add(n),this}setFromObject(e,t=!1){return this.makeEmpty(),this.expandByObject(e,t)}clone(){return new this.constructor().copy(this)}copy(e){return this.min.copy(e.min),this.max.copy(e.max),this}makeEmpty(){return this.min.x=this.min.y=this.min.z=1/0,this.max.x=this.max.y=this.max.z=-1/0,this}isEmpty(){return this.max.x<this.min.x||this.max.y<this.min.y||this.max.z<this.min.z}getCenter(e){return this.isEmpty()?e.set(0,0,0):e.addVectors(this.min,this.max).multiplyScalar(.5)}getSize(e){return this.isEmpty()?e.set(0,0,0):e.subVectors(this.max,this.min)}expandByPoint(e){return this.min.min(e),this.max.max(e),this}expandByVector(e){return this.min.sub(e),this.max.add(e),this}expandByScalar(e){return this.min.addScalar(-e),this.max.addScalar(e),this}expandByObject(e,t=!1){e.updateWorldMatrix(!1,!1);let n=e.geometry;if(n!==void 0){let r=n.getAttribute("position");if(t===!0&&r!==void 0&&e.isInstancedMesh!==!0)for(let a=0,o=r.count;a<o;a++)e.isMesh===!0?e.getVertexPosition(a,rn):rn.fromBufferAttribute(r,a),rn.applyMatrix4(e.matrixWorld),this.expandByPoint(rn);else e.boundingBox!==void 0?(e.boundingBox===null&&e.computeBoundingBox(),$r.copy(e.boundingBox)):(n.boundingBox===null&&n.computeBoundingBox(),$r.copy(n.boundingBox)),$r.applyMatrix4(e.matrixWorld),this.union($r)}let i=e.children;for(let r=0,a=i.length;r<a;r++)this.expandByObject(i[r],t);return this}containsPoint(e){return!(e.x<this.min.x||e.x>this.max.x||e.y<this.min.y||e.y>this.max.y||e.z<this.min.z||e.z>this.max.z)}containsBox(e){return this.min.x<=e.min.x&&e.max.x<=this.max.x&&this.min.y<=e.min.y&&e.max.y<=this.max.y&&this.min.z<=e.min.z&&e.max.z<=this.max.z}getParameter(e,t){return t.set((e.x-this.min.x)/(this.max.x-this.min.x),(e.y-this.min.y)/(this.max.y-this.min.y),(e.z-this.min.z)/(this.max.z-this.min.z))}intersectsBox(e){return!(e.max.x<this.min.x||e.min.x>this.max.x||e.max.y<this.min.y||e.min.y>this.max.y||e.max.z<this.min.z||e.min.z>this.max.z)}intersectsSphere(e){return this.clampPoint(e.center,rn),rn.distanceToSquared(e.center)<=e.radius*e.radius}intersectsPlane(e){let t,n;return e.normal.x>0?(t=e.normal.x*this.min.x,n=e.normal.x*this.max.x):(t=e.normal.x*this.max.x,n=e.normal.x*this.min.x),e.normal.y>0?(t+=e.normal.y*this.min.y,n+=e.normal.y*this.max.y):(t+=e.normal.y*this.max.y,n+=e.normal.y*this.min.y),e.normal.z>0?(t+=e.normal.z*this.min.z,n+=e.normal.z*this.max.z):(t+=e.normal.z*this.max.z,n+=e.normal.z*this.min.z),t<=-e.constant&&n>=-e.constant}intersectsTriangle(e){if(this.isEmpty())return!1;this.getCenter(Os),jr.subVectors(this.max,Os),Xi.subVectors(e.a,Os),Yi.subVectors(e.b,Os),qi.subVectors(e.c,Os),Wn.subVectors(Yi,Xi),Xn.subVectors(qi,Yi),fi.subVectors(Xi,qi);let t=[0,-Wn.z,Wn.y,0,-Xn.z,Xn.y,0,-fi.z,fi.y,Wn.z,0,-Wn.x,Xn.z,0,-Xn.x,fi.z,0,-fi.x,-Wn.y,Wn.x,0,-Xn.y,Xn.x,0,-fi.y,fi.x,0];return!wl(t,Xi,Yi,qi,jr)||(t=[1,0,0,0,1,0,0,0,1],!wl(t,Xi,Yi,qi,jr))?!1:(Qr.crossVectors(Wn,Xn),t=[Qr.x,Qr.y,Qr.z],wl(t,Xi,Yi,qi,jr))}clampPoint(e,t){return t.copy(e).clamp(this.min,this.max)}distanceToPoint(e){return this.clampPoint(e,rn).distanceTo(e)}getBoundingSphere(e){return this.isEmpty()?e.makeEmpty():(this.getCenter(e.center),e.radius=this.getSize(rn).length()*.5),e}intersect(e){return this.min.max(e.min),this.max.min(e.max),this.isEmpty()&&this.makeEmpty(),this}union(e){return this.min.min(e.min),this.max.max(e.max),this}applyMatrix4(e){return this.isEmpty()?this:(wn[0].set(this.min.x,this.min.y,this.min.z).applyMatrix4(e),wn[1].set(this.min.x,this.min.y,this.max.z).applyMatrix4(e),wn[2].set(this.min.x,this.max.y,this.min.z).applyMatrix4(e),wn[3].set(this.min.x,this.max.y,this.max.z).applyMatrix4(e),wn[4].set(this.max.x,this.min.y,this.min.z).applyMatrix4(e),wn[5].set(this.max.x,this.min.y,this.max.z).applyMatrix4(e),wn[6].set(this.max.x,this.max.y,this.min.z).applyMatrix4(e),wn[7].set(this.max.x,this.max.y,this.max.z).applyMatrix4(e),this.setFromPoints(wn),this)}translate(e){return this.min.add(e),this.max.add(e),this}equals(e){return e.min.equals(this.min)&&e.max.equals(this.max)}},wn=[new U,new U,new U,new U,new U,new U,new U,new U],rn=new U,$r=new Et,Xi=new U,Yi=new U,qi=new U,Wn=new U,Xn=new U,fi=new U,Os=new U,jr=new U,Qr=new U,pi=new U;function wl(s,e,t,n,i){for(let r=0,a=s.length-3;r<=a;r+=3){pi.fromArray(s,r);let o=i.x*Math.abs(pi.x)+i.y*Math.abs(pi.y)+i.z*Math.abs(pi.z),l=e.dot(pi),c=t.dot(pi),h=n.dot(pi);if(Math.max(-Math.max(l,c,h),Math.min(l,c,h))>o)return!1}return!0}var _g=new Et,Fs=new U,Tl=new U,vt=class{constructor(e=new U,t=-1){this.isSphere=!0,this.center=e,this.radius=t}set(e,t){return this.center.copy(e),this.radius=t,this}setFromPoints(e,t){let n=this.center;t!==void 0?n.copy(t):_g.setFromPoints(e).getCenter(n);let i=0;for(let r=0,a=e.length;r<a;r++)i=Math.max(i,n.distanceToSquared(e[r]));return this.radius=Math.sqrt(i),this}copy(e){return this.center.copy(e.center),this.radius=e.radius,this}isEmpty(){return this.radius<0}makeEmpty(){return this.center.set(0,0,0),this.radius=-1,this}containsPoint(e){return e.distanceToSquared(this.center)<=this.radius*this.radius}distanceToPoint(e){return e.distanceTo(this.center)-this.radius}intersectsSphere(e){let t=this.radius+e.radius;return e.center.distanceToSquared(this.center)<=t*t}intersectsBox(e){return e.intersectsSphere(this)}intersectsPlane(e){return Math.abs(e.distanceToPoint(this.center))<=this.radius}clampPoint(e,t){let n=this.center.distanceToSquared(e);return t.copy(e),n>this.radius*this.radius&&(t.sub(this.center).normalize(),t.multiplyScalar(this.radius).add(this.center)),t}getBoundingBox(e){return this.isEmpty()?(e.makeEmpty(),e):(e.set(this.center,this.center),e.expandByScalar(this.radius),e)}applyMatrix4(e){return this.center.applyMatrix4(e),this.radius=this.radius*e.getMaxScaleOnAxis(),this}translate(e){return this.center.add(e),this}expandByPoint(e){if(this.isEmpty())return this.center.copy(e),this.radius=0,this;Fs.subVectors(e,this.center);let t=Fs.lengthSq();if(t>this.radius*this.radius){let n=Math.sqrt(t),i=(n-this.radius)*.5;this.center.addScaledVector(Fs,i/n),this.radius+=i}return this}union(e){return e.isEmpty()?this:this.isEmpty()?(this.copy(e),this):(this.center.equals(e.center)===!0?this.radius=Math.max(this.radius,e.radius):(Tl.subVectors(e.center,this.center).setLength(e.radius),this.expandByPoint(Fs.copy(e.center).add(Tl)),this.expandByPoint(Fs.copy(e.center).sub(Tl))),this)}equals(e){return e.center.equals(this.center)&&e.radius===this.radius}clone(){return new this.constructor().copy(this)}},Tn=new U,Al=new U,ea=new U,Yn=new U,Cl=new U,ta=new U,Rl=new U,_n=class{constructor(e=new U,t=new U(0,0,-1)){this.origin=e,this.direction=t}set(e,t){return this.origin.copy(e),this.direction.copy(t),this}copy(e){return this.origin.copy(e.origin),this.direction.copy(e.direction),this}at(e,t){return t.copy(this.origin).addScaledVector(this.direction,e)}lookAt(e){return this.direction.copy(e).sub(this.origin).normalize(),this}recast(e){return this.origin.copy(this.at(e,Tn)),this}closestPointToPoint(e,t){t.subVectors(e,this.origin);let n=t.dot(this.direction);return n<0?t.copy(this.origin):t.copy(this.origin).addScaledVector(this.direction,n)}distanceToPoint(e){return Math.sqrt(this.distanceSqToPoint(e))}distanceSqToPoint(e){let t=Tn.subVectors(e,this.origin).dot(this.direction);return t<0?this.origin.distanceToSquared(e):(Tn.copy(this.origin).addScaledVector(this.direction,t),Tn.distanceToSquared(e))}distanceSqToSegment(e,t,n,i){Al.copy(e).add(t).multiplyScalar(.5),ea.copy(t).sub(e).normalize(),Yn.copy(this.origin).sub(Al);let r=e.distanceTo(t)*.5,a=-this.direction.dot(ea),o=Yn.dot(this.direction),l=-Yn.dot(ea),c=Yn.lengthSq(),h=Math.abs(1-a*a),f,p,m,g;if(h>0)if(f=a*l-o,p=a*o-l,g=r*h,f>=0)if(p>=-g)if(p<=g){let y=1/h;f*=y,p*=y,m=f*(f+a*p+2*o)+p*(a*f+p+2*l)+c}else p=r,f=Math.max(0,-(a*p+o)),m=-f*f+p*(p+2*l)+c;else p=-r,f=Math.max(0,-(a*p+o)),m=-f*f+p*(p+2*l)+c;else p<=-g?(f=Math.max(0,-(-a*r+o)),p=f>0?-r:Math.min(Math.max(-r,-l),r),m=-f*f+p*(p+2*l)+c):p<=g?(f=0,p=Math.min(Math.max(-r,-l),r),m=p*(p+2*l)+c):(f=Math.max(0,-(a*r+o)),p=f>0?r:Math.min(Math.max(-r,-l),r),m=-f*f+p*(p+2*l)+c);else p=a>0?-r:r,f=Math.max(0,-(a*p+o)),m=-f*f+p*(p+2*l)+c;return n&&n.copy(this.origin).addScaledVector(this.direction,f),i&&i.copy(Al).addScaledVector(ea,p),m}intersectSphere(e,t){Tn.subVectors(e.center,this.origin);let n=Tn.dot(this.direction),i=Tn.dot(Tn)-n*n,r=e.radius*e.radius;if(i>r)return null;let a=Math.sqrt(r-i),o=n-a,l=n+a;return l<0?null:o<0?this.at(l,t):this.at(o,t)}intersectsSphere(e){return this.distanceSqToPoint(e.center)<=e.radius*e.radius}distanceToPlane(e){let t=e.normal.dot(this.direction);if(t===0)return e.distanceToPoint(this.origin)===0?0:null;let n=-(this.origin.dot(e.normal)+e.constant)/t;return n>=0?n:null}intersectPlane(e,t){let n=this.distanceToPlane(e);return n===null?null:this.at(n,t)}intersectsPlane(e){let t=e.distanceToPoint(this.origin);return t===0||e.normal.dot(this.direction)*t<0}intersectBox(e,t){let n,i,r,a,o,l,c=1/this.direction.x,h=1/this.direction.y,f=1/this.direction.z,p=this.origin;return c>=0?(n=(e.min.x-p.x)*c,i=(e.max.x-p.x)*c):(n=(e.max.x-p.x)*c,i=(e.min.x-p.x)*c),h>=0?(r=(e.min.y-p.y)*h,a=(e.max.y-p.y)*h):(r=(e.max.y-p.y)*h,a=(e.min.y-p.y)*h),n>a||r>i||((r>n||isNaN(n))&&(n=r),(a<i||isNaN(i))&&(i=a),f>=0?(o=(e.min.z-p.z)*f,l=(e.max.z-p.z)*f):(o=(e.max.z-p.z)*f,l=(e.min.z-p.z)*f),n>l||o>i)||((o>n||n!==n)&&(n=o),(l<i||i!==i)&&(i=l),i<0)?null:this.at(n>=0?n:i,t)}intersectsBox(e){return this.intersectBox(e,Tn)!==null}intersectTriangle(e,t,n,i,r){Cl.subVectors(t,e),ta.subVectors(n,e),Rl.crossVectors(Cl,ta);let a=this.direction.dot(Rl),o;if(a>0){if(i)return null;o=1}else if(a<0)o=-1,a=-a;else return null;Yn.subVectors(this.origin,e);let l=o*this.direction.dot(ta.crossVectors(Yn,ta));if(l<0)return null;let c=o*this.direction.dot(Cl.cross(Yn));if(c<0||l+c>a)return null;let h=-o*Yn.dot(Rl);return h<0?null:this.at(h/a,r)}applyMatrix4(e){return this.origin.applyMatrix4(e),this.direction.transformDirection(e),this}equals(e){return e.origin.equals(this.origin)&&e.direction.equals(this.direction)}clone(){return new this.constructor().copy(this)}},Be=class s{constructor(e,t,n,i,r,a,o,l,c,h,f,p,m,g,y,u){s.prototype.isMatrix4=!0,this.elements=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],e!==void 0&&this.set(e,t,n,i,r,a,o,l,c,h,f,p,m,g,y,u)}set(e,t,n,i,r,a,o,l,c,h,f,p,m,g,y,u){let d=this.elements;return d[0]=e,d[4]=t,d[8]=n,d[12]=i,d[1]=r,d[5]=a,d[9]=o,d[13]=l,d[2]=c,d[6]=h,d[10]=f,d[14]=p,d[3]=m,d[7]=g,d[11]=y,d[15]=u,this}identity(){return this.set(1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1),this}clone(){return new s().fromArray(this.elements)}copy(e){let t=this.elements,n=e.elements;return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t[6]=n[6],t[7]=n[7],t[8]=n[8],t[9]=n[9],t[10]=n[10],t[11]=n[11],t[12]=n[12],t[13]=n[13],t[14]=n[14],t[15]=n[15],this}copyPosition(e){let t=this.elements,n=e.elements;return t[12]=n[12],t[13]=n[13],t[14]=n[14],this}setFromMatrix3(e){let t=e.elements;return this.set(t[0],t[3],t[6],0,t[1],t[4],t[7],0,t[2],t[5],t[8],0,0,0,0,1),this}extractBasis(e,t,n){return e.setFromMatrixColumn(this,0),t.setFromMatrixColumn(this,1),n.setFromMatrixColumn(this,2),this}makeBasis(e,t,n){return this.set(e.x,t.x,n.x,0,e.y,t.y,n.y,0,e.z,t.z,n.z,0,0,0,0,1),this}extractRotation(e){let t=this.elements,n=e.elements,i=1/Zi.setFromMatrixColumn(e,0).length(),r=1/Zi.setFromMatrixColumn(e,1).length(),a=1/Zi.setFromMatrixColumn(e,2).length();return t[0]=n[0]*i,t[1]=n[1]*i,t[2]=n[2]*i,t[3]=0,t[4]=n[4]*r,t[5]=n[5]*r,t[6]=n[6]*r,t[7]=0,t[8]=n[8]*a,t[9]=n[9]*a,t[10]=n[10]*a,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,this}makeRotationFromEuler(e){let t=this.elements,n=e.x,i=e.y,r=e.z,a=Math.cos(n),o=Math.sin(n),l=Math.cos(i),c=Math.sin(i),h=Math.cos(r),f=Math.sin(r);if(e.order==="XYZ"){let p=a*h,m=a*f,g=o*h,y=o*f;t[0]=l*h,t[4]=-l*f,t[8]=c,t[1]=m+g*c,t[5]=p-y*c,t[9]=-o*l,t[2]=y-p*c,t[6]=g+m*c,t[10]=a*l}else if(e.order==="YXZ"){let p=l*h,m=l*f,g=c*h,y=c*f;t[0]=p+y*o,t[4]=g*o-m,t[8]=a*c,t[1]=a*f,t[5]=a*h,t[9]=-o,t[2]=m*o-g,t[6]=y+p*o,t[10]=a*l}else if(e.order==="ZXY"){let p=l*h,m=l*f,g=c*h,y=c*f;t[0]=p-y*o,t[4]=-a*f,t[8]=g+m*o,t[1]=m+g*o,t[5]=a*h,t[9]=y-p*o,t[2]=-a*c,t[6]=o,t[10]=a*l}else if(e.order==="ZYX"){let p=a*h,m=a*f,g=o*h,y=o*f;t[0]=l*h,t[4]=g*c-m,t[8]=p*c+y,t[1]=l*f,t[5]=y*c+p,t[9]=m*c-g,t[2]=-c,t[6]=o*l,t[10]=a*l}else if(e.order==="YZX"){let p=a*l,m=a*c,g=o*l,y=o*c;t[0]=l*h,t[4]=y-p*f,t[8]=g*f+m,t[1]=f,t[5]=a*h,t[9]=-o*h,t[2]=-c*h,t[6]=m*f+g,t[10]=p-y*f}else if(e.order==="XZY"){let p=a*l,m=a*c,g=o*l,y=o*c;t[0]=l*h,t[4]=-f,t[8]=c*h,t[1]=p*f+y,t[5]=a*h,t[9]=m*f-g,t[2]=g*f-m,t[6]=o*h,t[10]=y*f+p}return t[3]=0,t[7]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,this}makeRotationFromQuaternion(e){return this.compose(xg,e,vg)}lookAt(e,t,n){let i=this.elements;return Yt.subVectors(e,t),Yt.lengthSq()===0&&(Yt.z=1),Yt.normalize(),qn.crossVectors(n,Yt),qn.lengthSq()===0&&(Math.abs(n.z)===1?Yt.x+=1e-4:Yt.z+=1e-4,Yt.normalize(),qn.crossVectors(n,Yt)),qn.normalize(),na.crossVectors(Yt,qn),i[0]=qn.x,i[4]=na.x,i[8]=Yt.x,i[1]=qn.y,i[5]=na.y,i[9]=Yt.y,i[2]=qn.z,i[6]=na.z,i[10]=Yt.z,this}multiply(e){return this.multiplyMatrices(this,e)}premultiply(e){return this.multiplyMatrices(e,this)}multiplyMatrices(e,t){let n=e.elements,i=t.elements,r=this.elements,a=n[0],o=n[4],l=n[8],c=n[12],h=n[1],f=n[5],p=n[9],m=n[13],g=n[2],y=n[6],u=n[10],d=n[14],_=n[3],x=n[7],v=n[11],A=n[15],w=i[0],b=i[4],T=i[8],M=i[12],S=i[1],N=i[5],P=i[9],R=i[13],C=i[2],I=i[6],B=i[10],H=i[14],X=i[3],V=i[7],W=i[11],Y=i[15];return r[0]=a*w+o*S+l*C+c*X,r[4]=a*b+o*N+l*I+c*V,r[8]=a*T+o*P+l*B+c*W,r[12]=a*M+o*R+l*H+c*Y,r[1]=h*w+f*S+p*C+m*X,r[5]=h*b+f*N+p*I+m*V,r[9]=h*T+f*P+p*B+m*W,r[13]=h*M+f*R+p*H+m*Y,r[2]=g*w+y*S+u*C+d*X,r[6]=g*b+y*N+u*I+d*V,r[10]=g*T+y*P+u*B+d*W,r[14]=g*M+y*R+u*H+d*Y,r[3]=_*w+x*S+v*C+A*X,r[7]=_*b+x*N+v*I+A*V,r[11]=_*T+x*P+v*B+A*W,r[15]=_*M+x*R+v*H+A*Y,this}multiplyScalar(e){let t=this.elements;return t[0]*=e,t[4]*=e,t[8]*=e,t[12]*=e,t[1]*=e,t[5]*=e,t[9]*=e,t[13]*=e,t[2]*=e,t[6]*=e,t[10]*=e,t[14]*=e,t[3]*=e,t[7]*=e,t[11]*=e,t[15]*=e,this}determinant(){let e=this.elements,t=e[0],n=e[4],i=e[8],r=e[12],a=e[1],o=e[5],l=e[9],c=e[13],h=e[2],f=e[6],p=e[10],m=e[14],g=e[3],y=e[7],u=e[11],d=e[15];return g*(+r*l*f-i*c*f-r*o*p+n*c*p+i*o*m-n*l*m)+y*(+t*l*m-t*c*p+r*a*p-i*a*m+i*c*h-r*l*h)+u*(+t*c*f-t*o*m-r*a*f+n*a*m+r*o*h-n*c*h)+d*(-i*o*h-t*l*f+t*o*p+i*a*f-n*a*p+n*l*h)}transpose(){let e=this.elements,t;return t=e[1],e[1]=e[4],e[4]=t,t=e[2],e[2]=e[8],e[8]=t,t=e[6],e[6]=e[9],e[9]=t,t=e[3],e[3]=e[12],e[12]=t,t=e[7],e[7]=e[13],e[13]=t,t=e[11],e[11]=e[14],e[14]=t,this}setPosition(e,t,n){let i=this.elements;return e.isVector3?(i[12]=e.x,i[13]=e.y,i[14]=e.z):(i[12]=e,i[13]=t,i[14]=n),this}invert(){let e=this.elements,t=e[0],n=e[1],i=e[2],r=e[3],a=e[4],o=e[5],l=e[6],c=e[7],h=e[8],f=e[9],p=e[10],m=e[11],g=e[12],y=e[13],u=e[14],d=e[15],_=f*u*c-y*p*c+y*l*m-o*u*m-f*l*d+o*p*d,x=g*p*c-h*u*c-g*l*m+a*u*m+h*l*d-a*p*d,v=h*y*c-g*f*c+g*o*m-a*y*m-h*o*d+a*f*d,A=g*f*l-h*y*l-g*o*p+a*y*p+h*o*u-a*f*u,w=t*_+n*x+i*v+r*A;if(w===0)return this.set(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0);let b=1/w;return e[0]=_*b,e[1]=(y*p*r-f*u*r-y*i*m+n*u*m+f*i*d-n*p*d)*b,e[2]=(o*u*r-y*l*r+y*i*c-n*u*c-o*i*d+n*l*d)*b,e[3]=(f*l*r-o*p*r-f*i*c+n*p*c+o*i*m-n*l*m)*b,e[4]=x*b,e[5]=(h*u*r-g*p*r+g*i*m-t*u*m-h*i*d+t*p*d)*b,e[6]=(g*l*r-a*u*r-g*i*c+t*u*c+a*i*d-t*l*d)*b,e[7]=(a*p*r-h*l*r+h*i*c-t*p*c-a*i*m+t*l*m)*b,e[8]=v*b,e[9]=(g*f*r-h*y*r-g*n*m+t*y*m+h*n*d-t*f*d)*b,e[10]=(a*y*r-g*o*r+g*n*c-t*y*c-a*n*d+t*o*d)*b,e[11]=(h*o*r-a*f*r-h*n*c+t*f*c+a*n*m-t*o*m)*b,e[12]=A*b,e[13]=(h*y*i-g*f*i+g*n*p-t*y*p-h*n*u+t*f*u)*b,e[14]=(g*o*i-a*y*i-g*n*l+t*y*l+a*n*u-t*o*u)*b,e[15]=(a*f*i-h*o*i+h*n*l-t*f*l-a*n*p+t*o*p)*b,this}scale(e){let t=this.elements,n=e.x,i=e.y,r=e.z;return t[0]*=n,t[4]*=i,t[8]*=r,t[1]*=n,t[5]*=i,t[9]*=r,t[2]*=n,t[6]*=i,t[10]*=r,t[3]*=n,t[7]*=i,t[11]*=r,this}getMaxScaleOnAxis(){let e=this.elements,t=e[0]*e[0]+e[1]*e[1]+e[2]*e[2],n=e[4]*e[4]+e[5]*e[5]+e[6]*e[6],i=e[8]*e[8]+e[9]*e[9]+e[10]*e[10];return Math.sqrt(Math.max(t,n,i))}makeTranslation(e,t,n){return e.isVector3?this.set(1,0,0,e.x,0,1,0,e.y,0,0,1,e.z,0,0,0,1):this.set(1,0,0,e,0,1,0,t,0,0,1,n,0,0,0,1),this}makeRotationX(e){let t=Math.cos(e),n=Math.sin(e);return this.set(1,0,0,0,0,t,-n,0,0,n,t,0,0,0,0,1),this}makeRotationY(e){let t=Math.cos(e),n=Math.sin(e);return this.set(t,0,n,0,0,1,0,0,-n,0,t,0,0,0,0,1),this}makeRotationZ(e){let t=Math.cos(e),n=Math.sin(e);return this.set(t,-n,0,0,n,t,0,0,0,0,1,0,0,0,0,1),this}makeRotationAxis(e,t){let n=Math.cos(t),i=Math.sin(t),r=1-n,a=e.x,o=e.y,l=e.z,c=r*a,h=r*o;return this.set(c*a+n,c*o-i*l,c*l+i*o,0,c*o+i*l,h*o+n,h*l-i*a,0,c*l-i*o,h*l+i*a,r*l*l+n,0,0,0,0,1),this}makeScale(e,t,n){return this.set(e,0,0,0,0,t,0,0,0,0,n,0,0,0,0,1),this}makeShear(e,t,n,i,r,a){return this.set(1,n,r,0,e,1,a,0,t,i,1,0,0,0,0,1),this}compose(e,t,n){let i=this.elements,r=t._x,a=t._y,o=t._z,l=t._w,c=r+r,h=a+a,f=o+o,p=r*c,m=r*h,g=r*f,y=a*h,u=a*f,d=o*f,_=l*c,x=l*h,v=l*f,A=n.x,w=n.y,b=n.z;return i[0]=(1-(y+d))*A,i[1]=(m+v)*A,i[2]=(g-x)*A,i[3]=0,i[4]=(m-v)*w,i[5]=(1-(p+d))*w,i[6]=(u+_)*w,i[7]=0,i[8]=(g+x)*b,i[9]=(u-_)*b,i[10]=(1-(p+y))*b,i[11]=0,i[12]=e.x,i[13]=e.y,i[14]=e.z,i[15]=1,this}decompose(e,t,n){let i=this.elements,r=Zi.set(i[0],i[1],i[2]).length(),a=Zi.set(i[4],i[5],i[6]).length(),o=Zi.set(i[8],i[9],i[10]).length();this.determinant()<0&&(r=-r),e.x=i[12],e.y=i[13],e.z=i[14],an.copy(this);let c=1/r,h=1/a,f=1/o;return an.elements[0]*=c,an.elements[1]*=c,an.elements[2]*=c,an.elements[4]*=h,an.elements[5]*=h,an.elements[6]*=h,an.elements[8]*=f,an.elements[9]*=f,an.elements[10]*=f,t.setFromRotationMatrix(an),n.x=r,n.y=a,n.z=o,this}makePerspective(e,t,n,i,r,a,o=hn){let l=this.elements,c=2*r/(t-e),h=2*r/(n-i),f=(t+e)/(t-e),p=(n+i)/(n-i),m,g;if(o===hn)m=-(a+r)/(a-r),g=-2*a*r/(a-r);else if(o===_s)m=-a/(a-r),g=-a*r/(a-r);else throw new Error("THREE.Matrix4.makePerspective(): Invalid coordinate system: "+o);return l[0]=c,l[4]=0,l[8]=f,l[12]=0,l[1]=0,l[5]=h,l[9]=p,l[13]=0,l[2]=0,l[6]=0,l[10]=m,l[14]=g,l[3]=0,l[7]=0,l[11]=-1,l[15]=0,this}makeOrthographic(e,t,n,i,r,a,o=hn){let l=this.elements,c=1/(t-e),h=1/(n-i),f=1/(a-r),p=(t+e)*c,m=(n+i)*h,g,y;if(o===hn)g=(a+r)*f,y=-2*f;else if(o===_s)g=r*f,y=-1*f;else throw new Error("THREE.Matrix4.makeOrthographic(): Invalid coordinate system: "+o);return l[0]=2*c,l[4]=0,l[8]=0,l[12]=-p,l[1]=0,l[5]=2*h,l[9]=0,l[13]=-m,l[2]=0,l[6]=0,l[10]=y,l[14]=-g,l[3]=0,l[7]=0,l[11]=0,l[15]=1,this}equals(e){let t=this.elements,n=e.elements;for(let i=0;i<16;i++)if(t[i]!==n[i])return!1;return!0}fromArray(e,t=0){for(let n=0;n<16;n++)this.elements[n]=e[n+t];return this}toArray(e=[],t=0){let n=this.elements;return e[t]=n[0],e[t+1]=n[1],e[t+2]=n[2],e[t+3]=n[3],e[t+4]=n[4],e[t+5]=n[5],e[t+6]=n[6],e[t+7]=n[7],e[t+8]=n[8],e[t+9]=n[9],e[t+10]=n[10],e[t+11]=n[11],e[t+12]=n[12],e[t+13]=n[13],e[t+14]=n[14],e[t+15]=n[15],e}},Zi=new U,an=new Be,xg=new U(0,0,0),vg=new U(1,1,1),qn=new U,na=new U,Yt=new U,ju=new Be,Qu=new St,mr=class s{constructor(e=0,t=0,n=0,i=s.DEFAULT_ORDER){this.isEuler=!0,this._x=e,this._y=t,this._z=n,this._order=i}get x(){return this._x}set x(e){this._x=e,this._onChangeCallback()}get y(){return this._y}set y(e){this._y=e,this._onChangeCallback()}get z(){return this._z}set z(e){this._z=e,this._onChangeCallback()}get order(){return this._order}set order(e){this._order=e,this._onChangeCallback()}set(e,t,n,i=this._order){return this._x=e,this._y=t,this._z=n,this._order=i,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._order)}copy(e){return this._x=e._x,this._y=e._y,this._z=e._z,this._order=e._order,this._onChangeCallback(),this}setFromRotationMatrix(e,t=this._order,n=!0){let i=e.elements,r=i[0],a=i[4],o=i[8],l=i[1],c=i[5],h=i[9],f=i[2],p=i[6],m=i[10];switch(t){case"XYZ":this._y=Math.asin(ut(o,-1,1)),Math.abs(o)<.9999999?(this._x=Math.atan2(-h,m),this._z=Math.atan2(-a,r)):(this._x=Math.atan2(p,c),this._z=0);break;case"YXZ":this._x=Math.asin(-ut(h,-1,1)),Math.abs(h)<.9999999?(this._y=Math.atan2(o,m),this._z=Math.atan2(l,c)):(this._y=Math.atan2(-f,r),this._z=0);break;case"ZXY":this._x=Math.asin(ut(p,-1,1)),Math.abs(p)<.9999999?(this._y=Math.atan2(-f,m),this._z=Math.atan2(-a,c)):(this._y=0,this._z=Math.atan2(l,r));break;case"ZYX":this._y=Math.asin(-ut(f,-1,1)),Math.abs(f)<.9999999?(this._x=Math.atan2(p,m),this._z=Math.atan2(l,r)):(this._x=0,this._z=Math.atan2(-a,c));break;case"YZX":this._z=Math.asin(ut(l,-1,1)),Math.abs(l)<.9999999?(this._x=Math.atan2(-h,c),this._y=Math.atan2(-f,r)):(this._x=0,this._y=Math.atan2(o,m));break;case"XZY":this._z=Math.asin(-ut(a,-1,1)),Math.abs(a)<.9999999?(this._x=Math.atan2(p,c),this._y=Math.atan2(o,r)):(this._x=Math.atan2(-h,m),this._y=0);break;default:console.warn("THREE.Euler: .setFromRotationMatrix() encountered an unknown order: "+t)}return this._order=t,n===!0&&this._onChangeCallback(),this}setFromQuaternion(e,t,n){return ju.makeRotationFromQuaternion(e),this.setFromRotationMatrix(ju,t,n)}setFromVector3(e,t=this._order){return this.set(e.x,e.y,e.z,t)}reorder(e){return Qu.setFromEuler(this),this.setFromQuaternion(Qu,e)}equals(e){return e._x===this._x&&e._y===this._y&&e._z===this._z&&e._order===this._order}fromArray(e){return this._x=e[0],this._y=e[1],this._z=e[2],e[3]!==void 0&&(this._order=e[3]),this._onChangeCallback(),this}toArray(e=[],t=0){return e[t]=this._x,e[t+1]=this._y,e[t+2]=this._z,e[t+3]=this._order,e}_onChange(e){return this._onChangeCallback=e,this}_onChangeCallback(){}*[Symbol.iterator](){yield this._x,yield this._y,yield this._z,yield this._order}};mr.DEFAULT_ORDER="XYZ";var Ms=class{constructor(){this.mask=1}set(e){this.mask=(1<<e|0)>>>0}enable(e){this.mask|=1<<e|0}enableAll(){this.mask=-1}toggle(e){this.mask^=1<<e|0}disable(e){this.mask&=~(1<<e|0)}disableAll(){this.mask=0}test(e){return(this.mask&e.mask)!==0}isEnabled(e){return(this.mask&(1<<e|0))!==0}},Mg=0,ed=new U,Ji=new St,An=new Be,ia=new U,Bs=new U,bg=new U,Sg=new St,td=new U(1,0,0),nd=new U(0,1,0),id=new U(0,0,1),Eg={type:"added"},wg={type:"removed"},tt=class s extends Kt{constructor(){super(),this.isObject3D=!0,Object.defineProperty(this,"id",{value:Mg++}),this.uuid=Jt(),this.name="",this.type="Object3D",this.parent=null,this.children=[],this.up=s.DEFAULT_UP.clone();let e=new U,t=new mr,n=new St,i=new U(1,1,1);function r(){n.setFromEuler(t,!1)}function a(){t.setFromQuaternion(n,void 0,!1)}t._onChange(r),n._onChange(a),Object.defineProperties(this,{position:{configurable:!0,enumerable:!0,value:e},rotation:{configurable:!0,enumerable:!0,value:t},quaternion:{configurable:!0,enumerable:!0,value:n},scale:{configurable:!0,enumerable:!0,value:i},modelViewMatrix:{value:new Be},normalMatrix:{value:new Xe}}),this.matrix=new Be,this.matrixWorld=new Be,this.matrixAutoUpdate=s.DEFAULT_MATRIX_AUTO_UPDATE,this.matrixWorldAutoUpdate=s.DEFAULT_MATRIX_WORLD_AUTO_UPDATE,this.matrixWorldNeedsUpdate=!1,this.layers=new Ms,this.visible=!0,this.castShadow=!1,this.receiveShadow=!1,this.frustumCulled=!0,this.renderOrder=0,this.animations=[],this.userData={}}onBeforeShadow(){}onAfterShadow(){}onBeforeRender(){}onAfterRender(){}applyMatrix4(e){this.matrixAutoUpdate&&this.updateMatrix(),this.matrix.premultiply(e),this.matrix.decompose(this.position,this.quaternion,this.scale)}applyQuaternion(e){return this.quaternion.premultiply(e),this}setRotationFromAxisAngle(e,t){this.quaternion.setFromAxisAngle(e,t)}setRotationFromEuler(e){this.quaternion.setFromEuler(e,!0)}setRotationFromMatrix(e){this.quaternion.setFromRotationMatrix(e)}setRotationFromQuaternion(e){this.quaternion.copy(e)}rotateOnAxis(e,t){return Ji.setFromAxisAngle(e,t),this.quaternion.multiply(Ji),this}rotateOnWorldAxis(e,t){return Ji.setFromAxisAngle(e,t),this.quaternion.premultiply(Ji),this}rotateX(e){return this.rotateOnAxis(td,e)}rotateY(e){return this.rotateOnAxis(nd,e)}rotateZ(e){return this.rotateOnAxis(id,e)}translateOnAxis(e,t){return ed.copy(e).applyQuaternion(this.quaternion),this.position.add(ed.multiplyScalar(t)),this}translateX(e){return this.translateOnAxis(td,e)}translateY(e){return this.translateOnAxis(nd,e)}translateZ(e){return this.translateOnAxis(id,e)}localToWorld(e){return this.updateWorldMatrix(!0,!1),e.applyMatrix4(this.matrixWorld)}worldToLocal(e){return this.updateWorldMatrix(!0,!1),e.applyMatrix4(An.copy(this.matrixWorld).invert())}lookAt(e,t,n){e.isVector3?ia.copy(e):ia.set(e,t,n);let i=this.parent;this.updateWorldMatrix(!0,!1),Bs.setFromMatrixPosition(this.matrixWorld),this.isCamera||this.isLight?An.lookAt(Bs,ia,this.up):An.lookAt(ia,Bs,this.up),this.quaternion.setFromRotationMatrix(An),i&&(An.extractRotation(i.matrixWorld),Ji.setFromRotationMatrix(An),this.quaternion.premultiply(Ji.invert()))}add(e){if(arguments.length>1){for(let t=0;t<arguments.length;t++)this.add(arguments[t]);return this}return e===this?(console.error("THREE.Object3D.add: object can't be added as a child of itself.",e),this):(e&&e.isObject3D?(e.parent!==null&&e.parent.remove(e),e.parent=this,this.children.push(e),e.dispatchEvent(Eg)):console.error("THREE.Object3D.add: object not an instance of THREE.Object3D.",e),this)}remove(e){if(arguments.length>1){for(let n=0;n<arguments.length;n++)this.remove(arguments[n]);return this}let t=this.children.indexOf(e);return t!==-1&&(e.parent=null,this.children.splice(t,1),e.dispatchEvent(wg)),this}removeFromParent(){let e=this.parent;return e!==null&&e.remove(this),this}clear(){return this.remove(...this.children)}attach(e){return this.updateWorldMatrix(!0,!1),An.copy(this.matrixWorld).invert(),e.parent!==null&&(e.parent.updateWorldMatrix(!0,!1),An.multiply(e.parent.matrixWorld)),e.applyMatrix4(An),this.add(e),e.updateWorldMatrix(!1,!0),this}getObjectById(e){return this.getObjectByProperty("id",e)}getObjectByName(e){return this.getObjectByProperty("name",e)}getObjectByProperty(e,t){if(this[e]===t)return this;for(let n=0,i=this.children.length;n<i;n++){let a=this.children[n].getObjectByProperty(e,t);if(a!==void 0)return a}}getObjectsByProperty(e,t,n=[]){this[e]===t&&n.push(this);let i=this.children;for(let r=0,a=i.length;r<a;r++)i[r].getObjectsByProperty(e,t,n);return n}getWorldPosition(e){return this.updateWorldMatrix(!0,!1),e.setFromMatrixPosition(this.matrixWorld)}getWorldQuaternion(e){return this.updateWorldMatrix(!0,!1),this.matrixWorld.decompose(Bs,e,bg),e}getWorldScale(e){return this.updateWorldMatrix(!0,!1),this.matrixWorld.decompose(Bs,Sg,e),e}getWorldDirection(e){this.updateWorldMatrix(!0,!1);let t=this.matrixWorld.elements;return e.set(t[8],t[9],t[10]).normalize()}raycast(){}traverse(e){e(this);let t=this.children;for(let n=0,i=t.length;n<i;n++)t[n].traverse(e)}traverseVisible(e){if(this.visible===!1)return;e(this);let t=this.children;for(let n=0,i=t.length;n<i;n++)t[n].traverseVisible(e)}traverseAncestors(e){let t=this.parent;t!==null&&(e(t),t.traverseAncestors(e))}updateMatrix(){this.matrix.compose(this.position,this.quaternion,this.scale),this.matrixWorldNeedsUpdate=!0}updateMatrixWorld(e){this.matrixAutoUpdate&&this.updateMatrix(),(this.matrixWorldNeedsUpdate||e)&&(this.parent===null?this.matrixWorld.copy(this.matrix):this.matrixWorld.multiplyMatrices(this.parent.matrixWorld,this.matrix),this.matrixWorldNeedsUpdate=!1,e=!0);let t=this.children;for(let n=0,i=t.length;n<i;n++){let r=t[n];(r.matrixWorldAutoUpdate===!0||e===!0)&&r.updateMatrixWorld(e)}}updateWorldMatrix(e,t){let n=this.parent;if(e===!0&&n!==null&&n.matrixWorldAutoUpdate===!0&&n.updateWorldMatrix(!0,!1),this.matrixAutoUpdate&&this.updateMatrix(),this.parent===null?this.matrixWorld.copy(this.matrix):this.matrixWorld.multiplyMatrices(this.parent.matrixWorld,this.matrix),t===!0){let i=this.children;for(let r=0,a=i.length;r<a;r++){let o=i[r];o.matrixWorldAutoUpdate===!0&&o.updateWorldMatrix(!1,!0)}}}toJSON(e){let t=e===void 0||typeof e=="string",n={};t&&(e={geometries:{},materials:{},textures:{},images:{},shapes:{},skeletons:{},animations:{},nodes:{}},n.metadata={version:4.6,type:"Object",generator:"Object3D.toJSON"});let i={};i.uuid=this.uuid,i.type=this.type,this.name!==""&&(i.name=this.name),this.castShadow===!0&&(i.castShadow=!0),this.receiveShadow===!0&&(i.receiveShadow=!0),this.visible===!1&&(i.visible=!1),this.frustumCulled===!1&&(i.frustumCulled=!1),this.renderOrder!==0&&(i.renderOrder=this.renderOrder),Object.keys(this.userData).length>0&&(i.userData=this.userData),i.layers=this.layers.mask,i.matrix=this.matrix.toArray(),i.up=this.up.toArray(),this.matrixAutoUpdate===!1&&(i.matrixAutoUpdate=!1),this.isInstancedMesh&&(i.type="InstancedMesh",i.count=this.count,i.instanceMatrix=this.instanceMatrix.toJSON(),this.instanceColor!==null&&(i.instanceColor=this.instanceColor.toJSON())),this.isBatchedMesh&&(i.type="BatchedMesh",i.perObjectFrustumCulled=this.perObjectFrustumCulled,i.sortObjects=this.sortObjects,i.drawRanges=this._drawRanges,i.reservedRanges=this._reservedRanges,i.visibility=this._visibility,i.active=this._active,i.bounds=this._bounds.map(o=>({boxInitialized:o.boxInitialized,boxMin:o.box.min.toArray(),boxMax:o.box.max.toArray(),sphereInitialized:o.sphereInitialized,sphereRadius:o.sphere.radius,sphereCenter:o.sphere.center.toArray()})),i.maxGeometryCount=this._maxGeometryCount,i.maxVertexCount=this._maxVertexCount,i.maxIndexCount=this._maxIndexCount,i.geometryInitialized=this._geometryInitialized,i.geometryCount=this._geometryCount,i.matricesTexture=this._matricesTexture.toJSON(e),this.boundingSphere!==null&&(i.boundingSphere={center:i.boundingSphere.center.toArray(),radius:i.boundingSphere.radius}),this.boundingBox!==null&&(i.boundingBox={min:i.boundingBox.min.toArray(),max:i.boundingBox.max.toArray()}));function r(o,l){return o[l.uuid]===void 0&&(o[l.uuid]=l.toJSON(e)),l.uuid}if(this.isScene)this.background&&(this.background.isColor?i.background=this.background.toJSON():this.background.isTexture&&(i.background=this.background.toJSON(e).uuid)),this.environment&&this.environment.isTexture&&this.environment.isRenderTargetTexture!==!0&&(i.environment=this.environment.toJSON(e).uuid);else if(this.isMesh||this.isLine||this.isPoints){i.geometry=r(e.geometries,this.geometry);let o=this.geometry.parameters;if(o!==void 0&&o.shapes!==void 0){let l=o.shapes;if(Array.isArray(l))for(let c=0,h=l.length;c<h;c++){let f=l[c];r(e.shapes,f)}else r(e.shapes,l)}}if(this.isSkinnedMesh&&(i.bindMode=this.bindMode,i.bindMatrix=this.bindMatrix.toArray(),this.skeleton!==void 0&&(r(e.skeletons,this.skeleton),i.skeleton=this.skeleton.uuid)),this.material!==void 0)if(Array.isArray(this.material)){let o=[];for(let l=0,c=this.material.length;l<c;l++)o.push(r(e.materials,this.material[l]));i.material=o}else i.material=r(e.materials,this.material);if(this.children.length>0){i.children=[];for(let o=0;o<this.children.length;o++)i.children.push(this.children[o].toJSON(e).object)}if(this.animations.length>0){i.animations=[];for(let o=0;o<this.animations.length;o++){let l=this.animations[o];i.animations.push(r(e.animations,l))}}if(t){let o=a(e.geometries),l=a(e.materials),c=a(e.textures),h=a(e.images),f=a(e.shapes),p=a(e.skeletons),m=a(e.animations),g=a(e.nodes);o.length>0&&(n.geometries=o),l.length>0&&(n.materials=l),c.length>0&&(n.textures=c),h.length>0&&(n.images=h),f.length>0&&(n.shapes=f),p.length>0&&(n.skeletons=p),m.length>0&&(n.animations=m),g.length>0&&(n.nodes=g)}return n.object=i,n;function a(o){let l=[];for(let c in o){let h=o[c];delete h.metadata,l.push(h)}return l}}clone(e){return new this.constructor().copy(this,e)}copy(e,t=!0){if(this.name=e.name,this.up.copy(e.up),this.position.copy(e.position),this.rotation.order=e.rotation.order,this.quaternion.copy(e.quaternion),this.scale.copy(e.scale),this.matrix.copy(e.matrix),this.matrixWorld.copy(e.matrixWorld),this.matrixAutoUpdate=e.matrixAutoUpdate,this.matrixWorldAutoUpdate=e.matrixWorldAutoUpdate,this.matrixWorldNeedsUpdate=e.matrixWorldNeedsUpdate,this.layers.mask=e.layers.mask,this.visible=e.visible,this.castShadow=e.castShadow,this.receiveShadow=e.receiveShadow,this.frustumCulled=e.frustumCulled,this.renderOrder=e.renderOrder,this.animations=e.animations.slice(),this.userData=JSON.parse(JSON.stringify(e.userData)),t===!0)for(let n=0;n<e.children.length;n++){let i=e.children[n];this.add(i.clone())}return this}};tt.DEFAULT_UP=new U(0,1,0);tt.DEFAULT_MATRIX_AUTO_UPDATE=!0;tt.DEFAULT_MATRIX_WORLD_AUTO_UPDATE=!0;var on=new U,Cn=new U,Pl=new U,Rn=new U,Ki=new U,$i=new U,sd=new U,Ll=new U,Il=new U,Dl=new U,sa=!1,Nn=class s{constructor(e=new U,t=new U,n=new U){this.a=e,this.b=t,this.c=n}static getNormal(e,t,n,i){i.subVectors(n,t),on.subVectors(e,t),i.cross(on);let r=i.lengthSq();return r>0?i.multiplyScalar(1/Math.sqrt(r)):i.set(0,0,0)}static getBarycoord(e,t,n,i,r){on.subVectors(i,t),Cn.subVectors(n,t),Pl.subVectors(e,t);let a=on.dot(on),o=on.dot(Cn),l=on.dot(Pl),c=Cn.dot(Cn),h=Cn.dot(Pl),f=a*c-o*o;if(f===0)return r.set(0,0,0),null;let p=1/f,m=(c*l-o*h)*p,g=(a*h-o*l)*p;return r.set(1-m-g,g,m)}static containsPoint(e,t,n,i){return this.getBarycoord(e,t,n,i,Rn)===null?!1:Rn.x>=0&&Rn.y>=0&&Rn.x+Rn.y<=1}static getUV(e,t,n,i,r,a,o,l){return sa===!1&&(console.warn("THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation()."),sa=!0),this.getInterpolation(e,t,n,i,r,a,o,l)}static getInterpolation(e,t,n,i,r,a,o,l){return this.getBarycoord(e,t,n,i,Rn)===null?(l.x=0,l.y=0,"z"in l&&(l.z=0),"w"in l&&(l.w=0),null):(l.setScalar(0),l.addScaledVector(r,Rn.x),l.addScaledVector(a,Rn.y),l.addScaledVector(o,Rn.z),l)}static isFrontFacing(e,t,n,i){return on.subVectors(n,t),Cn.subVectors(e,t),on.cross(Cn).dot(i)<0}set(e,t,n){return this.a.copy(e),this.b.copy(t),this.c.copy(n),this}setFromPointsAndIndices(e,t,n,i){return this.a.copy(e[t]),this.b.copy(e[n]),this.c.copy(e[i]),this}setFromAttributeAndIndices(e,t,n,i){return this.a.fromBufferAttribute(e,t),this.b.fromBufferAttribute(e,n),this.c.fromBufferAttribute(e,i),this}clone(){return new this.constructor().copy(this)}copy(e){return this.a.copy(e.a),this.b.copy(e.b),this.c.copy(e.c),this}getArea(){return on.subVectors(this.c,this.b),Cn.subVectors(this.a,this.b),on.cross(Cn).length()*.5}getMidpoint(e){return e.addVectors(this.a,this.b).add(this.c).multiplyScalar(1/3)}getNormal(e){return s.getNormal(this.a,this.b,this.c,e)}getPlane(e){return e.setFromCoplanarPoints(this.a,this.b,this.c)}getBarycoord(e,t){return s.getBarycoord(e,this.a,this.b,this.c,t)}getUV(e,t,n,i,r){return sa===!1&&(console.warn("THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation()."),sa=!0),s.getInterpolation(e,this.a,this.b,this.c,t,n,i,r)}getInterpolation(e,t,n,i,r){return s.getInterpolation(e,this.a,this.b,this.c,t,n,i,r)}containsPoint(e){return s.containsPoint(e,this.a,this.b,this.c)}isFrontFacing(e){return s.isFrontFacing(this.a,this.b,this.c,e)}intersectsBox(e){return e.intersectsTriangle(this)}closestPointToPoint(e,t){let n=this.a,i=this.b,r=this.c,a,o;Ki.subVectors(i,n),$i.subVectors(r,n),Ll.subVectors(e,n);let l=Ki.dot(Ll),c=$i.dot(Ll);if(l<=0&&c<=0)return t.copy(n);Il.subVectors(e,i);let h=Ki.dot(Il),f=$i.dot(Il);if(h>=0&&f<=h)return t.copy(i);let p=l*f-h*c;if(p<=0&&l>=0&&h<=0)return a=l/(l-h),t.copy(n).addScaledVector(Ki,a);Dl.subVectors(e,r);let m=Ki.dot(Dl),g=$i.dot(Dl);if(g>=0&&m<=g)return t.copy(r);let y=m*c-l*g;if(y<=0&&c>=0&&g<=0)return o=c/(c-g),t.copy(n).addScaledVector($i,o);let u=h*g-m*f;if(u<=0&&f-h>=0&&m-g>=0)return sd.subVectors(r,i),o=(f-h)/(f-h+(m-g)),t.copy(i).addScaledVector(sd,o);let d=1/(u+y+p);return a=y*d,o=p*d,t.copy(n).addScaledVector(Ki,a).addScaledVector($i,o)}equals(e){return e.a.equals(this.a)&&e.b.equals(this.b)&&e.c.equals(this.c)}},Ap={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074},Zn={h:0,s:0,l:0},ra={h:0,s:0,l:0};function Nl(s,e,t){return t<0&&(t+=1),t>1&&(t-=1),t<1/6?s+(e-s)*6*t:t<1/2?e:t<2/3?s+(e-s)*6*(2/3-t):s}var Se=class{constructor(e,t,n){return this.isColor=!0,this.r=1,this.g=1,this.b=1,this.set(e,t,n)}set(e,t,n){if(t===void 0&&n===void 0){let i=e;i&&i.isColor?this.copy(i):typeof i=="number"?this.setHex(i):typeof i=="string"&&this.setStyle(i)}else this.setRGB(e,t,n);return this}setScalar(e){return this.r=e,this.g=e,this.b=e,this}setHex(e,t=gt){return e=Math.floor(e),this.r=(e>>16&255)/255,this.g=(e>>8&255)/255,this.b=(e&255)/255,it.toWorkingColorSpace(this,t),this}setRGB(e,t,n,i=it.workingColorSpace){return this.r=e,this.g=t,this.b=n,it.toWorkingColorSpace(this,i),this}setHSL(e,t,n,i=it.workingColorSpace){if(e=uu(e,1),t=ut(t,0,1),n=ut(n,0,1),t===0)this.r=this.g=this.b=n;else{let r=n<=.5?n*(1+t):n+t-n*t,a=2*n-r;this.r=Nl(a,r,e+1/3),this.g=Nl(a,r,e),this.b=Nl(a,r,e-1/3)}return it.toWorkingColorSpace(this,i),this}setStyle(e,t=gt){function n(r){r!==void 0&&parseFloat(r)<1&&console.warn("THREE.Color: Alpha component of "+e+" will be ignored.")}let i;if(i=/^(\w+)\(([^\)]*)\)/.exec(e)){let r,a=i[1],o=i[2];switch(a){case"rgb":case"rgba":if(r=/^\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(o))return n(r[4]),this.setRGB(Math.min(255,parseInt(r[1],10))/255,Math.min(255,parseInt(r[2],10))/255,Math.min(255,parseInt(r[3],10))/255,t);if(r=/^\s*(\d+)\%\s*,\s*(\d+)\%\s*,\s*(\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(o))return n(r[4]),this.setRGB(Math.min(100,parseInt(r[1],10))/100,Math.min(100,parseInt(r[2],10))/100,Math.min(100,parseInt(r[3],10))/100,t);break;case"hsl":case"hsla":if(r=/^\s*(\d*\.?\d+)\s*,\s*(\d*\.?\d+)\%\s*,\s*(\d*\.?\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(o))return n(r[4]),this.setHSL(parseFloat(r[1])/360,parseFloat(r[2])/100,parseFloat(r[3])/100,t);break;default:console.warn("THREE.Color: Unknown color model "+e)}}else if(i=/^\#([A-Fa-f\d]+)$/.exec(e)){let r=i[1],a=r.length;if(a===3)return this.setRGB(parseInt(r.charAt(0),16)/15,parseInt(r.charAt(1),16)/15,parseInt(r.charAt(2),16)/15,t);if(a===6)return this.setHex(parseInt(r,16),t);console.warn("THREE.Color: Invalid hex color "+e)}else if(e&&e.length>0)return this.setColorName(e,t);return this}setColorName(e,t=gt){let n=Ap[e.toLowerCase()];return n!==void 0?this.setHex(n,t):console.warn("THREE.Color: Unknown color "+e),this}clone(){return new this.constructor(this.r,this.g,this.b)}copy(e){return this.r=e.r,this.g=e.g,this.b=e.b,this}copySRGBToLinear(e){return this.r=ms(e.r),this.g=ms(e.g),this.b=ms(e.b),this}copyLinearToSRGB(e){return this.r=bl(e.r),this.g=bl(e.g),this.b=bl(e.b),this}convertSRGBToLinear(){return this.copySRGBToLinear(this),this}convertLinearToSRGB(){return this.copyLinearToSRGB(this),this}getHex(e=gt){return it.fromWorkingColorSpace(Nt.copy(this),e),Math.round(ut(Nt.r*255,0,255))*65536+Math.round(ut(Nt.g*255,0,255))*256+Math.round(ut(Nt.b*255,0,255))}getHexString(e=gt){return("000000"+this.getHex(e).toString(16)).slice(-6)}getHSL(e,t=it.workingColorSpace){it.fromWorkingColorSpace(Nt.copy(this),t);let n=Nt.r,i=Nt.g,r=Nt.b,a=Math.max(n,i,r),o=Math.min(n,i,r),l,c,h=(o+a)/2;if(o===a)l=0,c=0;else{let f=a-o;switch(c=h<=.5?f/(a+o):f/(2-a-o),a){case n:l=(i-r)/f+(i<r?6:0);break;case i:l=(r-n)/f+2;break;case r:l=(n-i)/f+4;break}l/=6}return e.h=l,e.s=c,e.l=h,e}getRGB(e,t=it.workingColorSpace){return it.fromWorkingColorSpace(Nt.copy(this),t),e.r=Nt.r,e.g=Nt.g,e.b=Nt.b,e}getStyle(e=gt){it.fromWorkingColorSpace(Nt.copy(this),e);let t=Nt.r,n=Nt.g,i=Nt.b;return e!==gt?`color(${e} ${t.toFixed(3)} ${n.toFixed(3)} ${i.toFixed(3)})`:`rgb(${Math.round(t*255)},${Math.round(n*255)},${Math.round(i*255)})`}offsetHSL(e,t,n){return this.getHSL(Zn),this.setHSL(Zn.h+e,Zn.s+t,Zn.l+n)}add(e){return this.r+=e.r,this.g+=e.g,this.b+=e.b,this}addColors(e,t){return this.r=e.r+t.r,this.g=e.g+t.g,this.b=e.b+t.b,this}addScalar(e){return this.r+=e,this.g+=e,this.b+=e,this}sub(e){return this.r=Math.max(0,this.r-e.r),this.g=Math.max(0,this.g-e.g),this.b=Math.max(0,this.b-e.b),this}multiply(e){return this.r*=e.r,this.g*=e.g,this.b*=e.b,this}multiplyScalar(e){return this.r*=e,this.g*=e,this.b*=e,this}lerp(e,t){return this.r+=(e.r-this.r)*t,this.g+=(e.g-this.g)*t,this.b+=(e.b-this.b)*t,this}lerpColors(e,t,n){return this.r=e.r+(t.r-e.r)*n,this.g=e.g+(t.g-e.g)*n,this.b=e.b+(t.b-e.b)*n,this}lerpHSL(e,t){this.getHSL(Zn),e.getHSL(ra);let n=Js(Zn.h,ra.h,t),i=Js(Zn.s,ra.s,t),r=Js(Zn.l,ra.l,t);return this.setHSL(n,i,r),this}setFromVector3(e){return this.r=e.x,this.g=e.y,this.b=e.z,this}applyMatrix3(e){let t=this.r,n=this.g,i=this.b,r=e.elements;return this.r=r[0]*t+r[3]*n+r[6]*i,this.g=r[1]*t+r[4]*n+r[7]*i,this.b=r[2]*t+r[5]*n+r[8]*i,this}equals(e){return e.r===this.r&&e.g===this.g&&e.b===this.b}fromArray(e,t=0){return this.r=e[t],this.g=e[t+1],this.b=e[t+2],this}toArray(e=[],t=0){return e[t]=this.r,e[t+1]=this.g,e[t+2]=this.b,e}fromBufferAttribute(e,t){return this.r=e.getX(t),this.g=e.getY(t),this.b=e.getZ(t),this}toJSON(){return this.getHex()}*[Symbol.iterator](){yield this.r,yield this.g,yield this.b}},Nt=new Se;Se.NAMES=Ap;var Tg=0,Pt=class extends Kt{constructor(){super(),this.isMaterial=!0,Object.defineProperty(this,"id",{value:Tg++}),this.uuid=Jt(),this.name="",this.type="Material",this.blending=Ri,this.side=kn,this.vertexColors=!1,this.opacity=1,this.transparent=!1,this.alphaHash=!1,this.blendSrc=Za,this.blendDst=Ja,this.blendEquation=$n,this.blendSrcAlpha=null,this.blendDstAlpha=null,this.blendEquationAlpha=null,this.blendColor=new Se(0,0,0),this.blendAlpha=0,this.depthFunc=er,this.depthTest=!0,this.depthWrite=!0,this.stencilWriteMask=255,this.stencilFunc=Uc,this.stencilRef=0,this.stencilFuncMask=255,this.stencilFail=Si,this.stencilZFail=Si,this.stencilZPass=Si,this.stencilWrite=!1,this.clippingPlanes=null,this.clipIntersection=!1,this.clipShadows=!1,this.shadowSide=null,this.colorWrite=!0,this.precision=null,this.polygonOffset=!1,this.polygonOffsetFactor=0,this.polygonOffsetUnits=0,this.dithering=!1,this.alphaToCoverage=!1,this.premultipliedAlpha=!1,this.forceSinglePass=!1,this.visible=!0,this.toneMapped=!0,this.userData={},this.version=0,this._alphaTest=0}get alphaTest(){return this._alphaTest}set alphaTest(e){this._alphaTest>0!=e>0&&this.version++,this._alphaTest=e}onBuild(){}onBeforeRender(){}onBeforeCompile(){}customProgramCacheKey(){return this.onBeforeCompile.toString()}setValues(e){if(e!==void 0)for(let t in e){let n=e[t];if(n===void 0){console.warn(`THREE.Material: parameter '${t}' has value of undefined.`);continue}let i=this[t];if(i===void 0){console.warn(`THREE.Material: '${t}' is not a property of THREE.${this.type}.`);continue}i&&i.isColor?i.set(n):i&&i.isVector3&&n&&n.isVector3?i.copy(n):this[t]=n}}toJSON(e){let t=e===void 0||typeof e=="string";t&&(e={textures:{},images:{}});let n={metadata:{version:4.6,type:"Material",generator:"Material.toJSON"}};n.uuid=this.uuid,n.type=this.type,this.name!==""&&(n.name=this.name),this.color&&this.color.isColor&&(n.color=this.color.getHex()),this.roughness!==void 0&&(n.roughness=this.roughness),this.metalness!==void 0&&(n.metalness=this.metalness),this.sheen!==void 0&&(n.sheen=this.sheen),this.sheenColor&&this.sheenColor.isColor&&(n.sheenColor=this.sheenColor.getHex()),this.sheenRoughness!==void 0&&(n.sheenRoughness=this.sheenRoughness),this.emissive&&this.emissive.isColor&&(n.emissive=this.emissive.getHex()),this.emissiveIntensity&&this.emissiveIntensity!==1&&(n.emissiveIntensity=this.emissiveIntensity),this.specular&&this.specular.isColor&&(n.specular=this.specular.getHex()),this.specularIntensity!==void 0&&(n.specularIntensity=this.specularIntensity),this.specularColor&&this.specularColor.isColor&&(n.specularColor=this.specularColor.getHex()),this.shininess!==void 0&&(n.shininess=this.shininess),this.clearcoat!==void 0&&(n.clearcoat=this.clearcoat),this.clearcoatRoughness!==void 0&&(n.clearcoatRoughness=this.clearcoatRoughness),this.clearcoatMap&&this.clearcoatMap.isTexture&&(n.clearcoatMap=this.clearcoatMap.toJSON(e).uuid),this.clearcoatRoughnessMap&&this.clearcoatRoughnessMap.isTexture&&(n.clearcoatRoughnessMap=this.clearcoatRoughnessMap.toJSON(e).uuid),this.clearcoatNormalMap&&this.clearcoatNormalMap.isTexture&&(n.clearcoatNormalMap=this.clearcoatNormalMap.toJSON(e).uuid,n.clearcoatNormalScale=this.clearcoatNormalScale.toArray()),this.iridescence!==void 0&&(n.iridescence=this.iridescence),this.iridescenceIOR!==void 0&&(n.iridescenceIOR=this.iridescenceIOR),this.iridescenceThicknessRange!==void 0&&(n.iridescenceThicknessRange=this.iridescenceThicknessRange),this.iridescenceMap&&this.iridescenceMap.isTexture&&(n.iridescenceMap=this.iridescenceMap.toJSON(e).uuid),this.iridescenceThicknessMap&&this.iridescenceThicknessMap.isTexture&&(n.iridescenceThicknessMap=this.iridescenceThicknessMap.toJSON(e).uuid),this.anisotropy!==void 0&&(n.anisotropy=this.anisotropy),this.anisotropyRotation!==void 0&&(n.anisotropyRotation=this.anisotropyRotation),this.anisotropyMap&&this.anisotropyMap.isTexture&&(n.anisotropyMap=this.anisotropyMap.toJSON(e).uuid),this.map&&this.map.isTexture&&(n.map=this.map.toJSON(e).uuid),this.matcap&&this.matcap.isTexture&&(n.matcap=this.matcap.toJSON(e).uuid),this.alphaMap&&this.alphaMap.isTexture&&(n.alphaMap=this.alphaMap.toJSON(e).uuid),this.lightMap&&this.lightMap.isTexture&&(n.lightMap=this.lightMap.toJSON(e).uuid,n.lightMapIntensity=this.lightMapIntensity),this.aoMap&&this.aoMap.isTexture&&(n.aoMap=this.aoMap.toJSON(e).uuid,n.aoMapIntensity=this.aoMapIntensity),this.bumpMap&&this.bumpMap.isTexture&&(n.bumpMap=this.bumpMap.toJSON(e).uuid,n.bumpScale=this.bumpScale),this.normalMap&&this.normalMap.isTexture&&(n.normalMap=this.normalMap.toJSON(e).uuid,n.normalMapType=this.normalMapType,n.normalScale=this.normalScale.toArray()),this.displacementMap&&this.displacementMap.isTexture&&(n.displacementMap=this.displacementMap.toJSON(e).uuid,n.displacementScale=this.displacementScale,n.displacementBias=this.displacementBias),this.roughnessMap&&this.roughnessMap.isTexture&&(n.roughnessMap=this.roughnessMap.toJSON(e).uuid),this.metalnessMap&&this.metalnessMap.isTexture&&(n.metalnessMap=this.metalnessMap.toJSON(e).uuid),this.emissiveMap&&this.emissiveMap.isTexture&&(n.emissiveMap=this.emissiveMap.toJSON(e).uuid),this.specularMap&&this.specularMap.isTexture&&(n.specularMap=this.specularMap.toJSON(e).uuid),this.specularIntensityMap&&this.specularIntensityMap.isTexture&&(n.specularIntensityMap=this.specularIntensityMap.toJSON(e).uuid),this.specularColorMap&&this.specularColorMap.isTexture&&(n.specularColorMap=this.specularColorMap.toJSON(e).uuid),this.envMap&&this.envMap.isTexture&&(n.envMap=this.envMap.toJSON(e).uuid,this.combine!==void 0&&(n.combine=this.combine)),this.envMapIntensity!==void 0&&(n.envMapIntensity=this.envMapIntensity),this.reflectivity!==void 0&&(n.reflectivity=this.reflectivity),this.refractionRatio!==void 0&&(n.refractionRatio=this.refractionRatio),this.gradientMap&&this.gradientMap.isTexture&&(n.gradientMap=this.gradientMap.toJSON(e).uuid),this.transmission!==void 0&&(n.transmission=this.transmission),this.transmissionMap&&this.transmissionMap.isTexture&&(n.transmissionMap=this.transmissionMap.toJSON(e).uuid),this.thickness!==void 0&&(n.thickness=this.thickness),this.thicknessMap&&this.thicknessMap.isTexture&&(n.thicknessMap=this.thicknessMap.toJSON(e).uuid),this.attenuationDistance!==void 0&&this.attenuationDistance!==1/0&&(n.attenuationDistance=this.attenuationDistance),this.attenuationColor!==void 0&&(n.attenuationColor=this.attenuationColor.getHex()),this.size!==void 0&&(n.size=this.size),this.shadowSide!==null&&(n.shadowSide=this.shadowSide),this.sizeAttenuation!==void 0&&(n.sizeAttenuation=this.sizeAttenuation),this.blending!==Ri&&(n.blending=this.blending),this.side!==kn&&(n.side=this.side),this.vertexColors===!0&&(n.vertexColors=!0),this.opacity<1&&(n.opacity=this.opacity),this.transparent===!0&&(n.transparent=!0),this.blendSrc!==Za&&(n.blendSrc=this.blendSrc),this.blendDst!==Ja&&(n.blendDst=this.blendDst),this.blendEquation!==$n&&(n.blendEquation=this.blendEquation),this.blendSrcAlpha!==null&&(n.blendSrcAlpha=this.blendSrcAlpha),this.blendDstAlpha!==null&&(n.blendDstAlpha=this.blendDstAlpha),this.blendEquationAlpha!==null&&(n.blendEquationAlpha=this.blendEquationAlpha),this.blendColor&&this.blendColor.isColor&&(n.blendColor=this.blendColor.getHex()),this.blendAlpha!==0&&(n.blendAlpha=this.blendAlpha),this.depthFunc!==er&&(n.depthFunc=this.depthFunc),this.depthTest===!1&&(n.depthTest=this.depthTest),this.depthWrite===!1&&(n.depthWrite=this.depthWrite),this.colorWrite===!1&&(n.colorWrite=this.colorWrite),this.stencilWriteMask!==255&&(n.stencilWriteMask=this.stencilWriteMask),this.stencilFunc!==Uc&&(n.stencilFunc=this.stencilFunc),this.stencilRef!==0&&(n.stencilRef=this.stencilRef),this.stencilFuncMask!==255&&(n.stencilFuncMask=this.stencilFuncMask),this.stencilFail!==Si&&(n.stencilFail=this.stencilFail),this.stencilZFail!==Si&&(n.stencilZFail=this.stencilZFail),this.stencilZPass!==Si&&(n.stencilZPass=this.stencilZPass),this.stencilWrite===!0&&(n.stencilWrite=this.stencilWrite),this.rotation!==void 0&&this.rotation!==0&&(n.rotation=this.rotation),this.polygonOffset===!0&&(n.polygonOffset=!0),this.polygonOffsetFactor!==0&&(n.polygonOffsetFactor=this.polygonOffsetFactor),this.polygonOffsetUnits!==0&&(n.polygonOffsetUnits=this.polygonOffsetUnits),this.linewidth!==void 0&&this.linewidth!==1&&(n.linewidth=this.linewidth),this.dashSize!==void 0&&(n.dashSize=this.dashSize),this.gapSize!==void 0&&(n.gapSize=this.gapSize),this.scale!==void 0&&(n.scale=this.scale),this.dithering===!0&&(n.dithering=!0),this.alphaTest>0&&(n.alphaTest=this.alphaTest),this.alphaHash===!0&&(n.alphaHash=!0),this.alphaToCoverage===!0&&(n.alphaToCoverage=!0),this.premultipliedAlpha===!0&&(n.premultipliedAlpha=!0),this.forceSinglePass===!0&&(n.forceSinglePass=!0),this.wireframe===!0&&(n.wireframe=!0),this.wireframeLinewidth>1&&(n.wireframeLinewidth=this.wireframeLinewidth),this.wireframeLinecap!=="round"&&(n.wireframeLinecap=this.wireframeLinecap),this.wireframeLinejoin!=="round"&&(n.wireframeLinejoin=this.wireframeLinejoin),this.flatShading===!0&&(n.flatShading=!0),this.visible===!1&&(n.visible=!1),this.toneMapped===!1&&(n.toneMapped=!1),this.fog===!1&&(n.fog=!1),Object.keys(this.userData).length>0&&(n.userData=this.userData);function i(r){let a=[];for(let o in r){let l=r[o];delete l.metadata,a.push(l)}return a}if(t){let r=i(e.textures),a=i(e.images);r.length>0&&(n.textures=r),a.length>0&&(n.images=a)}return n}clone(){return new this.constructor().copy(this)}copy(e){this.name=e.name,this.blending=e.blending,this.side=e.side,this.vertexColors=e.vertexColors,this.opacity=e.opacity,this.transparent=e.transparent,this.blendSrc=e.blendSrc,this.blendDst=e.blendDst,this.blendEquation=e.blendEquation,this.blendSrcAlpha=e.blendSrcAlpha,this.blendDstAlpha=e.blendDstAlpha,this.blendEquationAlpha=e.blendEquationAlpha,this.blendColor.copy(e.blendColor),this.blendAlpha=e.blendAlpha,this.depthFunc=e.depthFunc,this.depthTest=e.depthTest,this.depthWrite=e.depthWrite,this.stencilWriteMask=e.stencilWriteMask,this.stencilFunc=e.stencilFunc,this.stencilRef=e.stencilRef,this.stencilFuncMask=e.stencilFuncMask,this.stencilFail=e.stencilFail,this.stencilZFail=e.stencilZFail,this.stencilZPass=e.stencilZPass,this.stencilWrite=e.stencilWrite;let t=e.clippingPlanes,n=null;if(t!==null){let i=t.length;n=new Array(i);for(let r=0;r!==i;++r)n[r]=t[r].clone()}return this.clippingPlanes=n,this.clipIntersection=e.clipIntersection,this.clipShadows=e.clipShadows,this.shadowSide=e.shadowSide,this.colorWrite=e.colorWrite,this.precision=e.precision,this.polygonOffset=e.polygonOffset,this.polygonOffsetFactor=e.polygonOffsetFactor,this.polygonOffsetUnits=e.polygonOffsetUnits,this.dithering=e.dithering,this.alphaTest=e.alphaTest,this.alphaHash=e.alphaHash,this.alphaToCoverage=e.alphaToCoverage,this.premultipliedAlpha=e.premultipliedAlpha,this.forceSinglePass=e.forceSinglePass,this.visible=e.visible,this.toneMapped=e.toneMapped,this.userData=JSON.parse(JSON.stringify(e.userData)),this}dispose(){this.dispatchEvent({type:"dispose"})}set needsUpdate(e){e===!0&&this.version++}},xn=class extends Pt{constructor(e){super(),this.isMeshBasicMaterial=!0,this.type="MeshBasicMaterial",this.color=new Se(16777215),this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.combine=Wr,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.fog=e.fog,this}},Ln=Ag();function Ag(){let s=new ArrayBuffer(4),e=new Float32Array(s),t=new Uint32Array(s),n=new Uint32Array(512),i=new Uint32Array(512);for(let l=0;l<256;++l){let c=l-127;c<-27?(n[l]=0,n[l|256]=32768,i[l]=24,i[l|256]=24):c<-14?(n[l]=1024>>-c-14,n[l|256]=1024>>-c-14|32768,i[l]=-c-1,i[l|256]=-c-1):c<=15?(n[l]=c+15<<10,n[l|256]=c+15<<10|32768,i[l]=13,i[l|256]=13):c<128?(n[l]=31744,n[l|256]=64512,i[l]=24,i[l|256]=24):(n[l]=31744,n[l|256]=64512,i[l]=13,i[l|256]=13)}let r=new Uint32Array(2048),a=new Uint32Array(64),o=new Uint32Array(64);for(let l=1;l<1024;++l){let c=l<<13,h=0;for(;(c&8388608)===0;)c<<=1,h-=8388608;c&=-8388609,h+=947912704,r[l]=c|h}for(let l=1024;l<2048;++l)r[l]=939524096+(l-1024<<13);for(let l=1;l<31;++l)a[l]=l<<23;a[31]=1199570944,a[32]=2147483648;for(let l=33;l<63;++l)a[l]=2147483648+(l-32<<23);a[63]=3347054592;for(let l=1;l<64;++l)l!==32&&(o[l]=1024);return{floatView:e,uint32View:t,baseTable:n,shiftTable:i,mantissaTable:r,exponentTable:a,offsetTable:o}}function Gt(s){Math.abs(s)>65504&&console.warn("THREE.DataUtils.toHalfFloat(): Value out of range."),s=ut(s,-65504,65504),Ln.floatView[0]=s;let e=Ln.uint32View[0],t=e>>23&511;return Ln.baseTable[t]+((e&8388607)>>Ln.shiftTable[t])}function qs(s){let e=s>>10;return Ln.uint32View[0]=Ln.mantissaTable[Ln.offsetTable[e]+(s&1023)]+Ln.exponentTable[e],Ln.floatView[0]}var Cg={toHalfFloat:Gt,fromHalfFloat:qs},bt=new U,aa=new ne,et=class{constructor(e,t,n=!1){if(Array.isArray(e))throw new TypeError("THREE.BufferAttribute: array should be a Typed Array.");this.isBufferAttribute=!0,this.name="",this.array=e,this.itemSize=t,this.count=e!==void 0?e.length/t:0,this.normalized=n,this.usage=ur,this._updateRange={offset:0,count:-1},this.updateRanges=[],this.gpuType=cn,this.version=0}onUploadCallback(){}set needsUpdate(e){e===!0&&this.version++}get updateRange(){return console.warn("THREE.BufferAttribute: updateRange() is deprecated and will be removed in r169. Use addUpdateRange() instead."),this._updateRange}setUsage(e){return this.usage=e,this}addUpdateRange(e,t){this.updateRanges.push({start:e,count:t})}clearUpdateRanges(){this.updateRanges.length=0}copy(e){return this.name=e.name,this.array=new e.array.constructor(e.array),this.itemSize=e.itemSize,this.count=e.count,this.normalized=e.normalized,this.usage=e.usage,this.gpuType=e.gpuType,this}copyAt(e,t,n){e*=this.itemSize,n*=t.itemSize;for(let i=0,r=this.itemSize;i<r;i++)this.array[e+i]=t.array[n+i];return this}copyArray(e){return this.array.set(e),this}applyMatrix3(e){if(this.itemSize===2)for(let t=0,n=this.count;t<n;t++)aa.fromBufferAttribute(this,t),aa.applyMatrix3(e),this.setXY(t,aa.x,aa.y);else if(this.itemSize===3)for(let t=0,n=this.count;t<n;t++)bt.fromBufferAttribute(this,t),bt.applyMatrix3(e),this.setXYZ(t,bt.x,bt.y,bt.z);return this}applyMatrix4(e){for(let t=0,n=this.count;t<n;t++)bt.fromBufferAttribute(this,t),bt.applyMatrix4(e),this.setXYZ(t,bt.x,bt.y,bt.z);return this}applyNormalMatrix(e){for(let t=0,n=this.count;t<n;t++)bt.fromBufferAttribute(this,t),bt.applyNormalMatrix(e),this.setXYZ(t,bt.x,bt.y,bt.z);return this}transformDirection(e){for(let t=0,n=this.count;t<n;t++)bt.fromBufferAttribute(this,t),bt.transformDirection(e),this.setXYZ(t,bt.x,bt.y,bt.z);return this}set(e,t=0){return this.array.set(e,t),this}getComponent(e,t){let n=this.array[e*this.itemSize+t];return this.normalized&&(n=Wt(n,this.array)),n}setComponent(e,t,n){return this.normalized&&(n=We(n,this.array)),this.array[e*this.itemSize+t]=n,this}getX(e){let t=this.array[e*this.itemSize];return this.normalized&&(t=Wt(t,this.array)),t}setX(e,t){return this.normalized&&(t=We(t,this.array)),this.array[e*this.itemSize]=t,this}getY(e){let t=this.array[e*this.itemSize+1];return this.normalized&&(t=Wt(t,this.array)),t}setY(e,t){return this.normalized&&(t=We(t,this.array)),this.array[e*this.itemSize+1]=t,this}getZ(e){let t=this.array[e*this.itemSize+2];return this.normalized&&(t=Wt(t,this.array)),t}setZ(e,t){return this.normalized&&(t=We(t,this.array)),this.array[e*this.itemSize+2]=t,this}getW(e){let t=this.array[e*this.itemSize+3];return this.normalized&&(t=Wt(t,this.array)),t}setW(e,t){return this.normalized&&(t=We(t,this.array)),this.array[e*this.itemSize+3]=t,this}setXY(e,t,n){return e*=this.itemSize,this.normalized&&(t=We(t,this.array),n=We(n,this.array)),this.array[e+0]=t,this.array[e+1]=n,this}setXYZ(e,t,n,i){return e*=this.itemSize,this.normalized&&(t=We(t,this.array),n=We(n,this.array),i=We(i,this.array)),this.array[e+0]=t,this.array[e+1]=n,this.array[e+2]=i,this}setXYZW(e,t,n,i,r){return e*=this.itemSize,this.normalized&&(t=We(t,this.array),n=We(n,this.array),i=We(i,this.array),r=We(r,this.array)),this.array[e+0]=t,this.array[e+1]=n,this.array[e+2]=i,this.array[e+3]=r,this}onUpload(e){return this.onUploadCallback=e,this}clone(){return new this.constructor(this.array,this.itemSize).copy(this)}toJSON(){let e={itemSize:this.itemSize,type:this.array.constructor.name,array:Array.from(this.array),normalized:this.normalized};return this.name!==""&&(e.name=this.name),this.usage!==ur&&(e.usage=this.usage),e}},Vc=class extends et{constructor(e,t,n){super(new Int8Array(e),t,n)}},Hc=class extends et{constructor(e,t,n){super(new Uint8Array(e),t,n)}},Gc=class extends et{constructor(e,t,n){super(new Uint8ClampedArray(e),t,n)}},Wc=class extends et{constructor(e,t,n){super(new Int16Array(e),t,n)}},gr=class extends et{constructor(e,t,n){super(new Uint16Array(e),t,n)}},Xc=class extends et{constructor(e,t,n){super(new Int32Array(e),t,n)}},yr=class extends et{constructor(e,t,n){super(new Uint32Array(e),t,n)}},Yc=class extends et{constructor(e,t,n){super(new Uint16Array(e),t,n),this.isFloat16BufferAttribute=!0}getX(e){let t=qs(this.array[e*this.itemSize]);return this.normalized&&(t=Wt(t,this.array)),t}setX(e,t){return this.normalized&&(t=We(t,this.array)),this.array[e*this.itemSize]=Gt(t),this}getY(e){let t=qs(this.array[e*this.itemSize+1]);return this.normalized&&(t=Wt(t,this.array)),t}setY(e,t){return this.normalized&&(t=We(t,this.array)),this.array[e*this.itemSize+1]=Gt(t),this}getZ(e){let t=qs(this.array[e*this.itemSize+2]);return this.normalized&&(t=Wt(t,this.array)),t}setZ(e,t){return this.normalized&&(t=We(t,this.array)),this.array[e*this.itemSize+2]=Gt(t),this}getW(e){let t=qs(this.array[e*this.itemSize+3]);return this.normalized&&(t=Wt(t,this.array)),t}setW(e,t){return this.normalized&&(t=We(t,this.array)),this.array[e*this.itemSize+3]=Gt(t),this}setXY(e,t,n){return e*=this.itemSize,this.normalized&&(t=We(t,this.array),n=We(n,this.array)),this.array[e+0]=Gt(t),this.array[e+1]=Gt(n),this}setXYZ(e,t,n,i){return e*=this.itemSize,this.normalized&&(t=We(t,this.array),n=We(n,this.array),i=We(i,this.array)),this.array[e+0]=Gt(t),this.array[e+1]=Gt(n),this.array[e+2]=Gt(i),this}setXYZW(e,t,n,i,r){return e*=this.itemSize,this.normalized&&(t=We(t,this.array),n=We(n,this.array),i=We(i,this.array),r=We(r,this.array)),this.array[e+0]=Gt(t),this.array[e+1]=Gt(n),this.array[e+2]=Gt(i),this.array[e+3]=Gt(r),this}},Pe=class extends et{constructor(e,t,n){super(new Float32Array(e),t,n)}},qc=class extends et{constructor(e,t,n){super(new Float64Array(e),t,n)}},Rg=0,en=new Be,Ul=new tt,ji=new U,qt=new Et,zs=new Et,Rt=new U,Ye=class s extends Kt{constructor(){super(),this.isBufferGeometry=!0,Object.defineProperty(this,"id",{value:Rg++}),this.uuid=Jt(),this.name="",this.type="BufferGeometry",this.index=null,this.attributes={},this.morphAttributes={},this.morphTargetsRelative=!1,this.groups=[],this.boundingBox=null,this.boundingSphere=null,this.drawRange={start:0,count:1/0},this.userData={}}getIndex(){return this.index}setIndex(e){return Array.isArray(e)?this.index=new(wp(e)?yr:gr)(e,1):this.index=e,this}getAttribute(e){return this.attributes[e]}setAttribute(e,t){return this.attributes[e]=t,this}deleteAttribute(e){return delete this.attributes[e],this}hasAttribute(e){return this.attributes[e]!==void 0}addGroup(e,t,n=0){this.groups.push({start:e,count:t,materialIndex:n})}clearGroups(){this.groups=[]}setDrawRange(e,t){this.drawRange.start=e,this.drawRange.count=t}applyMatrix4(e){let t=this.attributes.position;t!==void 0&&(t.applyMatrix4(e),t.needsUpdate=!0);let n=this.attributes.normal;if(n!==void 0){let r=new Xe().getNormalMatrix(e);n.applyNormalMatrix(r),n.needsUpdate=!0}let i=this.attributes.tangent;return i!==void 0&&(i.transformDirection(e),i.needsUpdate=!0),this.boundingBox!==null&&this.computeBoundingBox(),this.boundingSphere!==null&&this.computeBoundingSphere(),this}applyQuaternion(e){return en.makeRotationFromQuaternion(e),this.applyMatrix4(en),this}rotateX(e){return en.makeRotationX(e),this.applyMatrix4(en),this}rotateY(e){return en.makeRotationY(e),this.applyMatrix4(en),this}rotateZ(e){return en.makeRotationZ(e),this.applyMatrix4(en),this}translate(e,t,n){return en.makeTranslation(e,t,n),this.applyMatrix4(en),this}scale(e,t,n){return en.makeScale(e,t,n),this.applyMatrix4(en),this}lookAt(e){return Ul.lookAt(e),Ul.updateMatrix(),this.applyMatrix4(Ul.matrix),this}center(){return this.computeBoundingBox(),this.boundingBox.getCenter(ji).negate(),this.translate(ji.x,ji.y,ji.z),this}setFromPoints(e){let t=[];for(let n=0,i=e.length;n<i;n++){let r=e[n];t.push(r.x,r.y,r.z||0)}return this.setAttribute("position",new Pe(t,3)),this}computeBoundingBox(){this.boundingBox===null&&(this.boundingBox=new Et);let e=this.attributes.position,t=this.morphAttributes.position;if(e&&e.isGLBufferAttribute){console.error('THREE.BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box. Alternatively set "mesh.frustumCulled" to "false".',this),this.boundingBox.set(new U(-1/0,-1/0,-1/0),new U(1/0,1/0,1/0));return}if(e!==void 0){if(this.boundingBox.setFromBufferAttribute(e),t)for(let n=0,i=t.length;n<i;n++){let r=t[n];qt.setFromBufferAttribute(r),this.morphTargetsRelative?(Rt.addVectors(this.boundingBox.min,qt.min),this.boundingBox.expandByPoint(Rt),Rt.addVectors(this.boundingBox.max,qt.max),this.boundingBox.expandByPoint(Rt)):(this.boundingBox.expandByPoint(qt.min),this.boundingBox.expandByPoint(qt.max))}}else this.boundingBox.makeEmpty();(isNaN(this.boundingBox.min.x)||isNaN(this.boundingBox.min.y)||isNaN(this.boundingBox.min.z))&&console.error('THREE.BufferGeometry.computeBoundingBox(): Computed min/max have NaN values. The "position" attribute is likely to have NaN values.',this)}computeBoundingSphere(){this.boundingSphere===null&&(this.boundingSphere=new vt);let e=this.attributes.position,t=this.morphAttributes.position;if(e&&e.isGLBufferAttribute){console.error('THREE.BufferGeometry.computeBoundingSphere(): GLBufferAttribute requires a manual bounding sphere. Alternatively set "mesh.frustumCulled" to "false".',this),this.boundingSphere.set(new U,1/0);return}if(e){let n=this.boundingSphere.center;if(qt.setFromBufferAttribute(e),t)for(let r=0,a=t.length;r<a;r++){let o=t[r];zs.setFromBufferAttribute(o),this.morphTargetsRelative?(Rt.addVectors(qt.min,zs.min),qt.expandByPoint(Rt),Rt.addVectors(qt.max,zs.max),qt.expandByPoint(Rt)):(qt.expandByPoint(zs.min),qt.expandByPoint(zs.max))}qt.getCenter(n);let i=0;for(let r=0,a=e.count;r<a;r++)Rt.fromBufferAttribute(e,r),i=Math.max(i,n.distanceToSquared(Rt));if(t)for(let r=0,a=t.length;r<a;r++){let o=t[r],l=this.morphTargetsRelative;for(let c=0,h=o.count;c<h;c++)Rt.fromBufferAttribute(o,c),l&&(ji.fromBufferAttribute(e,c),Rt.add(ji)),i=Math.max(i,n.distanceToSquared(Rt))}this.boundingSphere.radius=Math.sqrt(i),isNaN(this.boundingSphere.radius)&&console.error('THREE.BufferGeometry.computeBoundingSphere(): Computed radius is NaN. The "position" attribute is likely to have NaN values.',this)}}computeTangents(){let e=this.index,t=this.attributes;if(e===null||t.position===void 0||t.normal===void 0||t.uv===void 0){console.error("THREE.BufferGeometry: .computeTangents() failed. Missing required attributes (index, position, normal or uv)");return}let n=e.array,i=t.position.array,r=t.normal.array,a=t.uv.array,o=i.length/3;this.hasAttribute("tangent")===!1&&this.setAttribute("tangent",new et(new Float32Array(4*o),4));let l=this.getAttribute("tangent").array,c=[],h=[];for(let S=0;S<o;S++)c[S]=new U,h[S]=new U;let f=new U,p=new U,m=new U,g=new ne,y=new ne,u=new ne,d=new U,_=new U;function x(S,N,P){f.fromArray(i,S*3),p.fromArray(i,N*3),m.fromArray(i,P*3),g.fromArray(a,S*2),y.fromArray(a,N*2),u.fromArray(a,P*2),p.sub(f),m.sub(f),y.sub(g),u.sub(g);let R=1/(y.x*u.y-u.x*y.y);isFinite(R)&&(d.copy(p).multiplyScalar(u.y).addScaledVector(m,-y.y).multiplyScalar(R),_.copy(m).multiplyScalar(y.x).addScaledVector(p,-u.x).multiplyScalar(R),c[S].add(d),c[N].add(d),c[P].add(d),h[S].add(_),h[N].add(_),h[P].add(_))}let v=this.groups;v.length===0&&(v=[{start:0,count:n.length}]);for(let S=0,N=v.length;S<N;++S){let P=v[S],R=P.start,C=P.count;for(let I=R,B=R+C;I<B;I+=3)x(n[I+0],n[I+1],n[I+2])}let A=new U,w=new U,b=new U,T=new U;function M(S){b.fromArray(r,S*3),T.copy(b);let N=c[S];A.copy(N),A.sub(b.multiplyScalar(b.dot(N))).normalize(),w.crossVectors(T,N);let R=w.dot(h[S])<0?-1:1;l[S*4]=A.x,l[S*4+1]=A.y,l[S*4+2]=A.z,l[S*4+3]=R}for(let S=0,N=v.length;S<N;++S){let P=v[S],R=P.start,C=P.count;for(let I=R,B=R+C;I<B;I+=3)M(n[I+0]),M(n[I+1]),M(n[I+2])}}computeVertexNormals(){let e=this.index,t=this.getAttribute("position");if(t!==void 0){let n=this.getAttribute("normal");if(n===void 0)n=new et(new Float32Array(t.count*3),3),this.setAttribute("normal",n);else for(let p=0,m=n.count;p<m;p++)n.setXYZ(p,0,0,0);let i=new U,r=new U,a=new U,o=new U,l=new U,c=new U,h=new U,f=new U;if(e)for(let p=0,m=e.count;p<m;p+=3){let g=e.getX(p+0),y=e.getX(p+1),u=e.getX(p+2);i.fromBufferAttribute(t,g),r.fromBufferAttribute(t,y),a.fromBufferAttribute(t,u),h.subVectors(a,r),f.subVectors(i,r),h.cross(f),o.fromBufferAttribute(n,g),l.fromBufferAttribute(n,y),c.fromBufferAttribute(n,u),o.add(h),l.add(h),c.add(h),n.setXYZ(g,o.x,o.y,o.z),n.setXYZ(y,l.x,l.y,l.z),n.setXYZ(u,c.x,c.y,c.z)}else for(let p=0,m=t.count;p<m;p+=3)i.fromBufferAttribute(t,p+0),r.fromBufferAttribute(t,p+1),a.fromBufferAttribute(t,p+2),h.subVectors(a,r),f.subVectors(i,r),h.cross(f),n.setXYZ(p+0,h.x,h.y,h.z),n.setXYZ(p+1,h.x,h.y,h.z),n.setXYZ(p+2,h.x,h.y,h.z);this.normalizeNormals(),n.needsUpdate=!0}}normalizeNormals(){let e=this.attributes.normal;for(let t=0,n=e.count;t<n;t++)Rt.fromBufferAttribute(e,t),Rt.normalize(),e.setXYZ(t,Rt.x,Rt.y,Rt.z)}toNonIndexed(){function e(o,l){let c=o.array,h=o.itemSize,f=o.normalized,p=new c.constructor(l.length*h),m=0,g=0;for(let y=0,u=l.length;y<u;y++){o.isInterleavedBufferAttribute?m=l[y]*o.data.stride+o.offset:m=l[y]*h;for(let d=0;d<h;d++)p[g++]=c[m++]}return new et(p,h,f)}if(this.index===null)return console.warn("THREE.BufferGeometry.toNonIndexed(): BufferGeometry is already non-indexed."),this;let t=new s,n=this.index.array,i=this.attributes;for(let o in i){let l=i[o],c=e(l,n);t.setAttribute(o,c)}let r=this.morphAttributes;for(let o in r){let l=[],c=r[o];for(let h=0,f=c.length;h<f;h++){let p=c[h],m=e(p,n);l.push(m)}t.morphAttributes[o]=l}t.morphTargetsRelative=this.morphTargetsRelative;let a=this.groups;for(let o=0,l=a.length;o<l;o++){let c=a[o];t.addGroup(c.start,c.count,c.materialIndex)}return t}toJSON(){let e={metadata:{version:4.6,type:"BufferGeometry",generator:"BufferGeometry.toJSON"}};if(e.uuid=this.uuid,e.type=this.type,this.name!==""&&(e.name=this.name),Object.keys(this.userData).length>0&&(e.userData=this.userData),this.parameters!==void 0){let l=this.parameters;for(let c in l)l[c]!==void 0&&(e[c]=l[c]);return e}e.data={attributes:{}};let t=this.index;t!==null&&(e.data.index={type:t.array.constructor.name,array:Array.prototype.slice.call(t.array)});let n=this.attributes;for(let l in n){let c=n[l];e.data.attributes[l]=c.toJSON(e.data)}let i={},r=!1;for(let l in this.morphAttributes){let c=this.morphAttributes[l],h=[];for(let f=0,p=c.length;f<p;f++){let m=c[f];h.push(m.toJSON(e.data))}h.length>0&&(i[l]=h,r=!0)}r&&(e.data.morphAttributes=i,e.data.morphTargetsRelative=this.morphTargetsRelative);let a=this.groups;a.length>0&&(e.data.groups=JSON.parse(JSON.stringify(a)));let o=this.boundingSphere;return o!==null&&(e.data.boundingSphere={center:o.center.toArray(),radius:o.radius}),e}clone(){return new this.constructor().copy(this)}copy(e){this.index=null,this.attributes={},this.morphAttributes={},this.groups=[],this.boundingBox=null,this.boundingSphere=null;let t={};this.name=e.name;let n=e.index;n!==null&&this.setIndex(n.clone(t));let i=e.attributes;for(let c in i){let h=i[c];this.setAttribute(c,h.clone(t))}let r=e.morphAttributes;for(let c in r){let h=[],f=r[c];for(let p=0,m=f.length;p<m;p++)h.push(f[p].clone(t));this.morphAttributes[c]=h}this.morphTargetsRelative=e.morphTargetsRelative;let a=e.groups;for(let c=0,h=a.length;c<h;c++){let f=a[c];this.addGroup(f.start,f.count,f.materialIndex)}let o=e.boundingBox;o!==null&&(this.boundingBox=o.clone());let l=e.boundingSphere;return l!==null&&(this.boundingSphere=l.clone()),this.drawRange.start=e.drawRange.start,this.drawRange.count=e.drawRange.count,this.userData=e.userData,this}dispose(){this.dispatchEvent({type:"dispose"})}},rd=new Be,mi=new _n,oa=new vt,ad=new U,Qi=new U,es=new U,ts=new U,Ol=new U,la=new U,ca=new ne,ha=new ne,ua=new ne,od=new U,ld=new U,cd=new U,da=new U,fa=new U,xt=class extends tt{constructor(e=new Ye,t=new xn){super(),this.isMesh=!0,this.type="Mesh",this.geometry=e,this.material=t,this.updateMorphTargets()}copy(e,t){return super.copy(e,t),e.morphTargetInfluences!==void 0&&(this.morphTargetInfluences=e.morphTargetInfluences.slice()),e.morphTargetDictionary!==void 0&&(this.morphTargetDictionary=Object.assign({},e.morphTargetDictionary)),this.material=Array.isArray(e.material)?e.material.slice():e.material,this.geometry=e.geometry,this}updateMorphTargets(){let t=this.geometry.morphAttributes,n=Object.keys(t);if(n.length>0){let i=t[n[0]];if(i!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let r=0,a=i.length;r<a;r++){let o=i[r].name||String(r);this.morphTargetInfluences.push(0),this.morphTargetDictionary[o]=r}}}}getVertexPosition(e,t){let n=this.geometry,i=n.attributes.position,r=n.morphAttributes.position,a=n.morphTargetsRelative;t.fromBufferAttribute(i,e);let o=this.morphTargetInfluences;if(r&&o){la.set(0,0,0);for(let l=0,c=r.length;l<c;l++){let h=o[l],f=r[l];h!==0&&(Ol.fromBufferAttribute(f,e),a?la.addScaledVector(Ol,h):la.addScaledVector(Ol.sub(t),h))}t.add(la)}return t}raycast(e,t){let n=this.geometry,i=this.material,r=this.matrixWorld;i!==void 0&&(n.boundingSphere===null&&n.computeBoundingSphere(),oa.copy(n.boundingSphere),oa.applyMatrix4(r),mi.copy(e.ray).recast(e.near),!(oa.containsPoint(mi.origin)===!1&&(mi.intersectSphere(oa,ad)===null||mi.origin.distanceToSquared(ad)>(e.far-e.near)**2))&&(rd.copy(r).invert(),mi.copy(e.ray).applyMatrix4(rd),!(n.boundingBox!==null&&mi.intersectsBox(n.boundingBox)===!1)&&this._computeIntersections(e,t,mi)))}_computeIntersections(e,t,n){let i,r=this.geometry,a=this.material,o=r.index,l=r.attributes.position,c=r.attributes.uv,h=r.attributes.uv1,f=r.attributes.normal,p=r.groups,m=r.drawRange;if(o!==null)if(Array.isArray(a))for(let g=0,y=p.length;g<y;g++){let u=p[g],d=a[u.materialIndex],_=Math.max(u.start,m.start),x=Math.min(o.count,Math.min(u.start+u.count,m.start+m.count));for(let v=_,A=x;v<A;v+=3){let w=o.getX(v),b=o.getX(v+1),T=o.getX(v+2);i=pa(this,d,e,n,c,h,f,w,b,T),i&&(i.faceIndex=Math.floor(v/3),i.face.materialIndex=u.materialIndex,t.push(i))}}else{let g=Math.max(0,m.start),y=Math.min(o.count,m.start+m.count);for(let u=g,d=y;u<d;u+=3){let _=o.getX(u),x=o.getX(u+1),v=o.getX(u+2);i=pa(this,a,e,n,c,h,f,_,x,v),i&&(i.faceIndex=Math.floor(u/3),t.push(i))}}else if(l!==void 0)if(Array.isArray(a))for(let g=0,y=p.length;g<y;g++){let u=p[g],d=a[u.materialIndex],_=Math.max(u.start,m.start),x=Math.min(l.count,Math.min(u.start+u.count,m.start+m.count));for(let v=_,A=x;v<A;v+=3){let w=v,b=v+1,T=v+2;i=pa(this,d,e,n,c,h,f,w,b,T),i&&(i.faceIndex=Math.floor(v/3),i.face.materialIndex=u.materialIndex,t.push(i))}}else{let g=Math.max(0,m.start),y=Math.min(l.count,m.start+m.count);for(let u=g,d=y;u<d;u+=3){let _=u,x=u+1,v=u+2;i=pa(this,a,e,n,c,h,f,_,x,v),i&&(i.faceIndex=Math.floor(u/3),t.push(i))}}}};function Pg(s,e,t,n,i,r,a,o){let l;if(e.side===Vt?l=n.intersectTriangle(a,r,i,!0,o):l=n.intersectTriangle(i,r,a,e.side===kn,o),l===null)return null;fa.copy(o),fa.applyMatrix4(s.matrixWorld);let c=t.ray.origin.distanceTo(fa);return c<t.near||c>t.far?null:{distance:c,point:fa.clone(),object:s}}function pa(s,e,t,n,i,r,a,o,l,c){s.getVertexPosition(o,Qi),s.getVertexPosition(l,es),s.getVertexPosition(c,ts);let h=Pg(s,e,t,n,Qi,es,ts,da);if(h){i&&(ca.fromBufferAttribute(i,o),ha.fromBufferAttribute(i,l),ua.fromBufferAttribute(i,c),h.uv=Nn.getInterpolation(da,Qi,es,ts,ca,ha,ua,new ne)),r&&(ca.fromBufferAttribute(r,o),ha.fromBufferAttribute(r,l),ua.fromBufferAttribute(r,c),h.uv1=Nn.getInterpolation(da,Qi,es,ts,ca,ha,ua,new ne),h.uv2=h.uv1),a&&(od.fromBufferAttribute(a,o),ld.fromBufferAttribute(a,l),cd.fromBufferAttribute(a,c),h.normal=Nn.getInterpolation(da,Qi,es,ts,od,ld,cd,new U),h.normal.dot(n.direction)>0&&h.normal.multiplyScalar(-1));let f={a:o,b:l,c,normal:new U,materialIndex:0};Nn.getNormal(Qi,es,ts,f.normal),h.face=f}return h}var Ii=class s extends Ye{constructor(e=1,t=1,n=1,i=1,r=1,a=1){super(),this.type="BoxGeometry",this.parameters={width:e,height:t,depth:n,widthSegments:i,heightSegments:r,depthSegments:a};let o=this;i=Math.floor(i),r=Math.floor(r),a=Math.floor(a);let l=[],c=[],h=[],f=[],p=0,m=0;g("z","y","x",-1,-1,n,t,e,a,r,0),g("z","y","x",1,-1,n,t,-e,a,r,1),g("x","z","y",1,1,e,n,t,i,a,2),g("x","z","y",1,-1,e,n,-t,i,a,3),g("x","y","z",1,-1,e,t,n,i,r,4),g("x","y","z",-1,-1,e,t,-n,i,r,5),this.setIndex(l),this.setAttribute("position",new Pe(c,3)),this.setAttribute("normal",new Pe(h,3)),this.setAttribute("uv",new Pe(f,2));function g(y,u,d,_,x,v,A,w,b,T,M){let S=v/b,N=A/T,P=v/2,R=A/2,C=w/2,I=b+1,B=T+1,H=0,X=0,V=new U;for(let W=0;W<B;W++){let Y=W*N-R;for(let te=0;te<I;te++){let G=te*S-P;V[y]=G*_,V[u]=Y*x,V[d]=C,c.push(V.x,V.y,V.z),V[y]=0,V[u]=0,V[d]=w>0?1:-1,h.push(V.x,V.y,V.z),f.push(te/b),f.push(1-W/T),H+=1}}for(let W=0;W<T;W++)for(let Y=0;Y<b;Y++){let te=p+Y+I*W,G=p+Y+I*(W+1),$=p+(Y+1)+I*(W+1),ae=p+(Y+1)+I*W;l.push(te,G,ae),l.push(G,$,ae),X+=6}o.addGroup(m,X,M),m+=X,p+=H}}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}static fromJSON(e){return new s(e.width,e.height,e.depth,e.widthSegments,e.heightSegments,e.depthSegments)}};function bs(s){let e={};for(let t in s){e[t]={};for(let n in s[t]){let i=s[t][n];i&&(i.isColor||i.isMatrix3||i.isMatrix4||i.isVector2||i.isVector3||i.isVector4||i.isTexture||i.isQuaternion)?i.isRenderTargetTexture?(console.warn("UniformsUtils: Textures of render targets cannot be cloned via cloneUniforms() or mergeUniforms()."),e[t][n]=null):e[t][n]=i.clone():Array.isArray(i)?e[t][n]=i.slice():e[t][n]=i}}return e}function kt(s){let e={};for(let t=0;t<s.length;t++){let n=bs(s[t]);for(let i in n)e[i]=n[i]}return e}function Lg(s){let e=[];for(let t=0;t<s.length;t++)e.push(s[t].clone());return e}function Cp(s){return s.getRenderTarget()===null?s.outputColorSpace:it.workingColorSpace}var Rp={clone:bs,merge:kt},Ig=`void main() {
	gl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );
}`,Dg=`void main() {
	gl_FragColor = vec4( 1.0, 0.0, 0.0, 1.0 );
}`,nn=class extends Pt{constructor(e){super(),this.isShaderMaterial=!0,this.type="ShaderMaterial",this.defines={},this.uniforms={},this.uniformsGroups=[],this.vertexShader=Ig,this.fragmentShader=Dg,this.linewidth=1,this.wireframe=!1,this.wireframeLinewidth=1,this.fog=!1,this.lights=!1,this.clipping=!1,this.forceSinglePass=!0,this.extensions={derivatives:!1,fragDepth:!1,drawBuffers:!1,shaderTextureLOD:!1,clipCullDistance:!1},this.defaultAttributeValues={color:[1,1,1],uv:[0,0],uv1:[0,0]},this.index0AttributeName=void 0,this.uniformsNeedUpdate=!1,this.glslVersion=null,e!==void 0&&this.setValues(e)}copy(e){return super.copy(e),this.fragmentShader=e.fragmentShader,this.vertexShader=e.vertexShader,this.uniforms=bs(e.uniforms),this.uniformsGroups=Lg(e.uniformsGroups),this.defines=Object.assign({},e.defines),this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.fog=e.fog,this.lights=e.lights,this.clipping=e.clipping,this.extensions=Object.assign({},e.extensions),this.glslVersion=e.glslVersion,this}toJSON(e){let t=super.toJSON(e);t.glslVersion=this.glslVersion,t.uniforms={};for(let i in this.uniforms){let a=this.uniforms[i].value;a&&a.isTexture?t.uniforms[i]={type:"t",value:a.toJSON(e).uuid}:a&&a.isColor?t.uniforms[i]={type:"c",value:a.getHex()}:a&&a.isVector2?t.uniforms[i]={type:"v2",value:a.toArray()}:a&&a.isVector3?t.uniforms[i]={type:"v3",value:a.toArray()}:a&&a.isVector4?t.uniforms[i]={type:"v4",value:a.toArray()}:a&&a.isMatrix3?t.uniforms[i]={type:"m3",value:a.toArray()}:a&&a.isMatrix4?t.uniforms[i]={type:"m4",value:a.toArray()}:t.uniforms[i]={value:a}}Object.keys(this.defines).length>0&&(t.defines=this.defines),t.vertexShader=this.vertexShader,t.fragmentShader=this.fragmentShader,t.lights=this.lights,t.clipping=this.clipping;let n={};for(let i in this.extensions)this.extensions[i]===!0&&(n[i]=!0);return Object.keys(n).length>0&&(t.extensions=n),t}},Ss=class extends tt{constructor(){super(),this.isCamera=!0,this.type="Camera",this.matrixWorldInverse=new Be,this.projectionMatrix=new Be,this.projectionMatrixInverse=new Be,this.coordinateSystem=hn}copy(e,t){return super.copy(e,t),this.matrixWorldInverse.copy(e.matrixWorldInverse),this.projectionMatrix.copy(e.projectionMatrix),this.projectionMatrixInverse.copy(e.projectionMatrixInverse),this.coordinateSystem=e.coordinateSystem,this}getWorldDirection(e){return super.getWorldDirection(e).negate()}updateMatrixWorld(e){super.updateMatrixWorld(e),this.matrixWorldInverse.copy(this.matrixWorld).invert()}updateWorldMatrix(e,t){super.updateWorldMatrix(e,t),this.matrixWorldInverse.copy(this.matrixWorld).invert()}clone(){return new this.constructor().copy(this)}},_t=class extends Ss{constructor(e=50,t=1,n=.1,i=2e3){super(),this.isPerspectiveCamera=!0,this.type="PerspectiveCamera",this.fov=e,this.zoom=1,this.near=n,this.far=i,this.focus=10,this.aspect=t,this.view=null,this.filmGauge=35,this.filmOffset=0,this.updateProjectionMatrix()}copy(e,t){return super.copy(e,t),this.fov=e.fov,this.zoom=e.zoom,this.near=e.near,this.far=e.far,this.focus=e.focus,this.aspect=e.aspect,this.view=e.view===null?null:Object.assign({},e.view),this.filmGauge=e.filmGauge,this.filmOffset=e.filmOffset,this}setFocalLength(e){let t=.5*this.getFilmHeight()/e;this.fov=xs*2*Math.atan(t),this.updateProjectionMatrix()}getFocalLength(){let e=Math.tan(Pi*.5*this.fov);return .5*this.getFilmHeight()/e}getEffectiveFOV(){return xs*2*Math.atan(Math.tan(Pi*.5*this.fov)/this.zoom)}getFilmWidth(){return this.filmGauge*Math.min(this.aspect,1)}getFilmHeight(){return this.filmGauge/Math.max(this.aspect,1)}setViewOffset(e,t,n,i,r,a){this.aspect=e/t,this.view===null&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=e,this.view.fullHeight=t,this.view.offsetX=n,this.view.offsetY=i,this.view.width=r,this.view.height=a,this.updateProjectionMatrix()}clearViewOffset(){this.view!==null&&(this.view.enabled=!1),this.updateProjectionMatrix()}updateProjectionMatrix(){let e=this.near,t=e*Math.tan(Pi*.5*this.fov)/this.zoom,n=2*t,i=this.aspect*n,r=-.5*i,a=this.view;if(this.view!==null&&this.view.enabled){let l=a.fullWidth,c=a.fullHeight;r+=a.offsetX*i/l,t-=a.offsetY*n/c,i*=a.width/l,n*=a.height/c}let o=this.filmOffset;o!==0&&(r+=e*o/this.getFilmWidth()),this.projectionMatrix.makePerspective(r,r+i,t,t-n,e,this.far,this.coordinateSystem),this.projectionMatrixInverse.copy(this.projectionMatrix).invert()}toJSON(e){let t=super.toJSON(e);return t.object.fov=this.fov,t.object.zoom=this.zoom,t.object.near=this.near,t.object.far=this.far,t.object.focus=this.focus,t.object.aspect=this.aspect,this.view!==null&&(t.object.view=Object.assign({},this.view)),t.object.filmGauge=this.filmGauge,t.object.filmOffset=this.filmOffset,t}},ns=-90,is=1,eo=class extends tt{constructor(e,t,n){super(),this.type="CubeCamera",this.renderTarget=n,this.coordinateSystem=null,this.activeMipmapLevel=0;let i=new _t(ns,is,e,t);i.layers=this.layers,this.add(i);let r=new _t(ns,is,e,t);r.layers=this.layers,this.add(r);let a=new _t(ns,is,e,t);a.layers=this.layers,this.add(a);let o=new _t(ns,is,e,t);o.layers=this.layers,this.add(o);let l=new _t(ns,is,e,t);l.layers=this.layers,this.add(l);let c=new _t(ns,is,e,t);c.layers=this.layers,this.add(c)}updateCoordinateSystem(){let e=this.coordinateSystem,t=this.children.concat(),[n,i,r,a,o,l]=t;for(let c of t)this.remove(c);if(e===hn)n.up.set(0,1,0),n.lookAt(1,0,0),i.up.set(0,1,0),i.lookAt(-1,0,0),r.up.set(0,0,-1),r.lookAt(0,1,0),a.up.set(0,0,1),a.lookAt(0,-1,0),o.up.set(0,1,0),o.lookAt(0,0,1),l.up.set(0,1,0),l.lookAt(0,0,-1);else if(e===_s)n.up.set(0,-1,0),n.lookAt(-1,0,0),i.up.set(0,-1,0),i.lookAt(1,0,0),r.up.set(0,0,1),r.lookAt(0,1,0),a.up.set(0,0,-1),a.lookAt(0,-1,0),o.up.set(0,-1,0),o.lookAt(0,0,1),l.up.set(0,-1,0),l.lookAt(0,0,-1);else throw new Error("THREE.CubeCamera.updateCoordinateSystem(): Invalid coordinate system: "+e);for(let c of t)this.add(c),c.updateMatrixWorld()}update(e,t){this.parent===null&&this.updateMatrixWorld();let{renderTarget:n,activeMipmapLevel:i}=this;this.coordinateSystem!==e.coordinateSystem&&(this.coordinateSystem=e.coordinateSystem,this.updateCoordinateSystem());let[r,a,o,l,c,h]=this.children,f=e.getRenderTarget(),p=e.getActiveCubeFace(),m=e.getActiveMipmapLevel(),g=e.xr.enabled;e.xr.enabled=!1;let y=n.texture.generateMipmaps;n.texture.generateMipmaps=!1,e.setRenderTarget(n,0,i),e.render(t,r),e.setRenderTarget(n,1,i),e.render(t,a),e.setRenderTarget(n,2,i),e.render(t,o),e.setRenderTarget(n,3,i),e.render(t,l),e.setRenderTarget(n,4,i),e.render(t,c),n.texture.generateMipmaps=y,e.setRenderTarget(n,5,i),e.render(t,h),e.setRenderTarget(f,p,m),e.xr.enabled=g,n.texture.needsPMREMUpdate=!0}},Di=class extends wt{constructor(e,t,n,i,r,a,o,l,c,h){e=e!==void 0?e:[],t=t!==void 0?t:Vn,super(e,t,n,i,r,a,o,l,c,h),this.isCubeTexture=!0,this.flipY=!1}get images(){return this.image}set images(e){this.image=e}},to=class extends Ht{constructor(e=1,t={}){super(e,e,t),this.isWebGLCubeRenderTarget=!0;let n={width:e,height:e,depth:1},i=[n,n,n,n,n,n];t.encoding!==void 0&&(Ks("THREE.WebGLCubeRenderTarget: option.encoding has been replaced by option.colorSpace."),t.colorSpace=t.encoding===ti?gt:Zt),this.texture=new Di(i,t.mapping,t.wrapS,t.wrapT,t.magFilter,t.minFilter,t.format,t.type,t.anisotropy,t.colorSpace),this.texture.isRenderTargetTexture=!0,this.texture.generateMipmaps=t.generateMipmaps!==void 0?t.generateMipmaps:!1,this.texture.minFilter=t.minFilter!==void 0?t.minFilter:yt}fromEquirectangularTexture(e,t){this.texture.type=t.type,this.texture.colorSpace=t.colorSpace,this.texture.generateMipmaps=t.generateMipmaps,this.texture.minFilter=t.minFilter,this.texture.magFilter=t.magFilter;let n={uniforms:{tEquirect:{value:null}},vertexShader:`

				varying vec3 vWorldDirection;

				vec3 transformDirection( in vec3 dir, in mat4 matrix ) {

					return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );

				}

				void main() {

					vWorldDirection = transformDirection( position, modelMatrix );

					#include <begin_vertex>
					#include <project_vertex>

				}
			`,fragmentShader:`

				uniform sampler2D tEquirect;

				varying vec3 vWorldDirection;

				#include <common>

				void main() {

					vec3 direction = normalize( vWorldDirection );

					vec2 sampleUV = equirectUv( direction );

					gl_FragColor = texture2D( tEquirect, sampleUV );

				}
			`},i=new Ii(5,5,5),r=new nn({name:"CubemapFromEquirect",uniforms:bs(n.uniforms),vertexShader:n.vertexShader,fragmentShader:n.fragmentShader,side:Vt,blending:On});r.uniforms.tEquirect.value=t;let a=new xt(i,r),o=t.minFilter;return t.minFilter===ii&&(t.minFilter=yt),new eo(1,10,this).update(e,a),t.minFilter=o,a.geometry.dispose(),a.material.dispose(),this}clear(e,t,n,i){let r=e.getRenderTarget();for(let a=0;a<6;a++)e.setRenderTarget(this,a),e.clear(t,n,i);e.setRenderTarget(r)}},Fl=new U,Ng=new U,Ug=new Xe,tn=class{constructor(e=new U(1,0,0),t=0){this.isPlane=!0,this.normal=e,this.constant=t}set(e,t){return this.normal.copy(e),this.constant=t,this}setComponents(e,t,n,i){return this.normal.set(e,t,n),this.constant=i,this}setFromNormalAndCoplanarPoint(e,t){return this.normal.copy(e),this.constant=-t.dot(this.normal),this}setFromCoplanarPoints(e,t,n){let i=Fl.subVectors(n,t).cross(Ng.subVectors(e,t)).normalize();return this.setFromNormalAndCoplanarPoint(i,e),this}copy(e){return this.normal.copy(e.normal),this.constant=e.constant,this}normalize(){let e=1/this.normal.length();return this.normal.multiplyScalar(e),this.constant*=e,this}negate(){return this.constant*=-1,this.normal.negate(),this}distanceToPoint(e){return this.normal.dot(e)+this.constant}distanceToSphere(e){return this.distanceToPoint(e.center)-e.radius}projectPoint(e,t){return t.copy(e).addScaledVector(this.normal,-this.distanceToPoint(e))}intersectLine(e,t){let n=e.delta(Fl),i=this.normal.dot(n);if(i===0)return this.distanceToPoint(e.start)===0?t.copy(e.start):null;let r=-(e.start.dot(this.normal)+this.constant)/i;return r<0||r>1?null:t.copy(e.start).addScaledVector(n,r)}intersectsLine(e){let t=this.distanceToPoint(e.start),n=this.distanceToPoint(e.end);return t<0&&n>0||n<0&&t>0}intersectsBox(e){return e.intersectsPlane(this)}intersectsSphere(e){return e.intersectsPlane(this)}coplanarPoint(e){return e.copy(this.normal).multiplyScalar(-this.constant)}applyMatrix4(e,t){let n=t||Ug.getNormalMatrix(e),i=this.coplanarPoint(Fl).applyMatrix4(e),r=this.normal.applyMatrix3(n).normalize();return this.constant=-i.dot(r),this}translate(e){return this.constant-=e.dot(this.normal),this}equals(e){return e.normal.equals(this.normal)&&e.constant===this.constant}clone(){return new this.constructor().copy(this)}},gi=new vt,ma=new U,Ni=class{constructor(e=new tn,t=new tn,n=new tn,i=new tn,r=new tn,a=new tn){this.planes=[e,t,n,i,r,a]}set(e,t,n,i,r,a){let o=this.planes;return o[0].copy(e),o[1].copy(t),o[2].copy(n),o[3].copy(i),o[4].copy(r),o[5].copy(a),this}copy(e){let t=this.planes;for(let n=0;n<6;n++)t[n].copy(e.planes[n]);return this}setFromProjectionMatrix(e,t=hn){let n=this.planes,i=e.elements,r=i[0],a=i[1],o=i[2],l=i[3],c=i[4],h=i[5],f=i[6],p=i[7],m=i[8],g=i[9],y=i[10],u=i[11],d=i[12],_=i[13],x=i[14],v=i[15];if(n[0].setComponents(l-r,p-c,u-m,v-d).normalize(),n[1].setComponents(l+r,p+c,u+m,v+d).normalize(),n[2].setComponents(l+a,p+h,u+g,v+_).normalize(),n[3].setComponents(l-a,p-h,u-g,v-_).normalize(),n[4].setComponents(l-o,p-f,u-y,v-x).normalize(),t===hn)n[5].setComponents(l+o,p+f,u+y,v+x).normalize();else if(t===_s)n[5].setComponents(o,f,y,x).normalize();else throw new Error("THREE.Frustum.setFromProjectionMatrix(): Invalid coordinate system: "+t);return this}intersectsObject(e){if(e.boundingSphere!==void 0)e.boundingSphere===null&&e.computeBoundingSphere(),gi.copy(e.boundingSphere).applyMatrix4(e.matrixWorld);else{let t=e.geometry;t.boundingSphere===null&&t.computeBoundingSphere(),gi.copy(t.boundingSphere).applyMatrix4(e.matrixWorld)}return this.intersectsSphere(gi)}intersectsSprite(e){return gi.center.set(0,0,0),gi.radius=.7071067811865476,gi.applyMatrix4(e.matrixWorld),this.intersectsSphere(gi)}intersectsSphere(e){let t=this.planes,n=e.center,i=-e.radius;for(let r=0;r<6;r++)if(t[r].distanceToPoint(n)<i)return!1;return!0}intersectsBox(e){let t=this.planes;for(let n=0;n<6;n++){let i=t[n];if(ma.x=i.normal.x>0?e.max.x:e.min.x,ma.y=i.normal.y>0?e.max.y:e.min.y,ma.z=i.normal.z>0?e.max.z:e.min.z,i.distanceToPoint(ma)<0)return!1}return!0}containsPoint(e){let t=this.planes;for(let n=0;n<6;n++)if(t[n].distanceToPoint(e)<0)return!1;return!0}clone(){return new this.constructor().copy(this)}};function Pp(){let s=null,e=!1,t=null,n=null;function i(r,a){t(r,a),n=s.requestAnimationFrame(i)}return{start:function(){e!==!0&&t!==null&&(n=s.requestAnimationFrame(i),e=!0)},stop:function(){s.cancelAnimationFrame(n),e=!1},setAnimationLoop:function(r){t=r},setContext:function(r){s=r}}}function Og(s,e){let t=e.isWebGL2,n=new WeakMap;function i(c,h){let f=c.array,p=c.usage,m=f.byteLength,g=s.createBuffer();s.bindBuffer(h,g),s.bufferData(h,f,p),c.onUploadCallback();let y;if(f instanceof Float32Array)y=s.FLOAT;else if(f instanceof Uint16Array)if(c.isFloat16BufferAttribute)if(t)y=s.HALF_FLOAT;else throw new Error("THREE.WebGLAttributes: Usage of Float16BufferAttribute requires WebGL2.");else y=s.UNSIGNED_SHORT;else if(f instanceof Int16Array)y=s.SHORT;else if(f instanceof Uint32Array)y=s.UNSIGNED_INT;else if(f instanceof Int32Array)y=s.INT;else if(f instanceof Int8Array)y=s.BYTE;else if(f instanceof Uint8Array)y=s.UNSIGNED_BYTE;else if(f instanceof Uint8ClampedArray)y=s.UNSIGNED_BYTE;else throw new Error("THREE.WebGLAttributes: Unsupported buffer data format: "+f);return{buffer:g,type:y,bytesPerElement:f.BYTES_PER_ELEMENT,version:c.version,size:m}}function r(c,h,f){let p=h.array,m=h._updateRange,g=h.updateRanges;if(s.bindBuffer(f,c),m.count===-1&&g.length===0&&s.bufferSubData(f,0,p),g.length!==0){for(let y=0,u=g.length;y<u;y++){let d=g[y];t?s.bufferSubData(f,d.start*p.BYTES_PER_ELEMENT,p,d.start,d.count):s.bufferSubData(f,d.start*p.BYTES_PER_ELEMENT,p.subarray(d.start,d.start+d.count))}h.clearUpdateRanges()}m.count!==-1&&(t?s.bufferSubData(f,m.offset*p.BYTES_PER_ELEMENT,p,m.offset,m.count):s.bufferSubData(f,m.offset*p.BYTES_PER_ELEMENT,p.subarray(m.offset,m.offset+m.count)),m.count=-1),h.onUploadCallback()}function a(c){return c.isInterleavedBufferAttribute&&(c=c.data),n.get(c)}function o(c){c.isInterleavedBufferAttribute&&(c=c.data);let h=n.get(c);h&&(s.deleteBuffer(h.buffer),n.delete(c))}function l(c,h){if(c.isGLBufferAttribute){let p=n.get(c);(!p||p.version<c.version)&&n.set(c,{buffer:c.buffer,type:c.type,bytesPerElement:c.elementSize,version:c.version});return}c.isInterleavedBufferAttribute&&(c=c.data);let f=n.get(c);if(f===void 0)n.set(c,i(c,h));else if(f.version<c.version){if(f.size!==c.array.byteLength)throw new Error("THREE.WebGLAttributes: The size of the buffer attribute's array buffer does not match the original size. Resizing buffer attributes is not supported.");r(f.buffer,c,h),f.version=c.version}}return{get:a,remove:o,update:l}}var _r=class s extends Ye{constructor(e=1,t=1,n=1,i=1){super(),this.type="PlaneGeometry",this.parameters={width:e,height:t,widthSegments:n,heightSegments:i};let r=e/2,a=t/2,o=Math.floor(n),l=Math.floor(i),c=o+1,h=l+1,f=e/o,p=t/l,m=[],g=[],y=[],u=[];for(let d=0;d<h;d++){let _=d*p-a;for(let x=0;x<c;x++){let v=x*f-r;g.push(v,-_,0),y.push(0,0,1),u.push(x/o),u.push(1-d/l)}}for(let d=0;d<l;d++)for(let _=0;_<o;_++){let x=_+c*d,v=_+c*(d+1),A=_+1+c*(d+1),w=_+1+c*d;m.push(x,v,w),m.push(v,A,w)}this.setIndex(m),this.setAttribute("position",new Pe(g,3)),this.setAttribute("normal",new Pe(y,3)),this.setAttribute("uv",new Pe(u,2))}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}static fromJSON(e){return new s(e.width,e.height,e.widthSegments,e.heightSegments)}},Fg=`#ifdef USE_ALPHAHASH
	if ( diffuseColor.a < getAlphaHashThreshold( vPosition ) ) discard;
#endif`,Bg=`#ifdef USE_ALPHAHASH
	const float ALPHA_HASH_SCALE = 0.05;
	float hash2D( vec2 value ) {
		return fract( 1.0e4 * sin( 17.0 * value.x + 0.1 * value.y ) * ( 0.1 + abs( sin( 13.0 * value.y + value.x ) ) ) );
	}
	float hash3D( vec3 value ) {
		return hash2D( vec2( hash2D( value.xy ), value.z ) );
	}
	float getAlphaHashThreshold( vec3 position ) {
		float maxDeriv = max(
			length( dFdx( position.xyz ) ),
			length( dFdy( position.xyz ) )
		);
		float pixScale = 1.0 / ( ALPHA_HASH_SCALE * maxDeriv );
		vec2 pixScales = vec2(
			exp2( floor( log2( pixScale ) ) ),
			exp2( ceil( log2( pixScale ) ) )
		);
		vec2 alpha = vec2(
			hash3D( floor( pixScales.x * position.xyz ) ),
			hash3D( floor( pixScales.y * position.xyz ) )
		);
		float lerpFactor = fract( log2( pixScale ) );
		float x = ( 1.0 - lerpFactor ) * alpha.x + lerpFactor * alpha.y;
		float a = min( lerpFactor, 1.0 - lerpFactor );
		vec3 cases = vec3(
			x * x / ( 2.0 * a * ( 1.0 - a ) ),
			( x - 0.5 * a ) / ( 1.0 - a ),
			1.0 - ( ( 1.0 - x ) * ( 1.0 - x ) / ( 2.0 * a * ( 1.0 - a ) ) )
		);
		float threshold = ( x < ( 1.0 - a ) )
			? ( ( x < a ) ? cases.x : cases.y )
			: cases.z;
		return clamp( threshold , 1.0e-6, 1.0 );
	}
#endif`,zg=`#ifdef USE_ALPHAMAP
	diffuseColor.a *= texture2D( alphaMap, vAlphaMapUv ).g;
#endif`,kg=`#ifdef USE_ALPHAMAP
	uniform sampler2D alphaMap;
#endif`,Vg=`#ifdef USE_ALPHATEST
	if ( diffuseColor.a < alphaTest ) discard;
#endif`,Hg=`#ifdef USE_ALPHATEST
	uniform float alphaTest;
#endif`,Gg=`#ifdef USE_AOMAP
	float ambientOcclusion = ( texture2D( aoMap, vAoMapUv ).r - 1.0 ) * aoMapIntensity + 1.0;
	reflectedLight.indirectDiffuse *= ambientOcclusion;
	#if defined( USE_CLEARCOAT ) 
		clearcoatSpecularIndirect *= ambientOcclusion;
	#endif
	#if defined( USE_SHEEN ) 
		sheenSpecularIndirect *= ambientOcclusion;
	#endif
	#if defined( USE_ENVMAP ) && defined( STANDARD )
		float dotNV = saturate( dot( geometryNormal, geometryViewDir ) );
		reflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.roughness );
	#endif
#endif`,Wg=`#ifdef USE_AOMAP
	uniform sampler2D aoMap;
	uniform float aoMapIntensity;
#endif`,Xg=`#ifdef USE_BATCHING
	attribute float batchId;
	uniform highp sampler2D batchingTexture;
	mat4 getBatchingMatrix( const in float i ) {
		int size = textureSize( batchingTexture, 0 ).x;
		int j = int( i ) * 4;
		int x = j % size;
		int y = j / size;
		vec4 v1 = texelFetch( batchingTexture, ivec2( x, y ), 0 );
		vec4 v2 = texelFetch( batchingTexture, ivec2( x + 1, y ), 0 );
		vec4 v3 = texelFetch( batchingTexture, ivec2( x + 2, y ), 0 );
		vec4 v4 = texelFetch( batchingTexture, ivec2( x + 3, y ), 0 );
		return mat4( v1, v2, v3, v4 );
	}
#endif`,Yg=`#ifdef USE_BATCHING
	mat4 batchingMatrix = getBatchingMatrix( batchId );
#endif`,qg=`vec3 transformed = vec3( position );
#ifdef USE_ALPHAHASH
	vPosition = vec3( position );
#endif`,Zg=`vec3 objectNormal = vec3( normal );
#ifdef USE_TANGENT
	vec3 objectTangent = vec3( tangent.xyz );
#endif`,Jg=`float G_BlinnPhong_Implicit( ) {
	return 0.25;
}
float D_BlinnPhong( const in float shininess, const in float dotNH ) {
	return RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess );
}
vec3 BRDF_BlinnPhong( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float shininess ) {
	vec3 halfDir = normalize( lightDir + viewDir );
	float dotNH = saturate( dot( normal, halfDir ) );
	float dotVH = saturate( dot( viewDir, halfDir ) );
	vec3 F = F_Schlick( specularColor, 1.0, dotVH );
	float G = G_BlinnPhong_Implicit( );
	float D = D_BlinnPhong( shininess, dotNH );
	return F * ( G * D );
} // validated`,Kg=`#ifdef USE_IRIDESCENCE
	const mat3 XYZ_TO_REC709 = mat3(
		 3.2404542, -0.9692660,  0.0556434,
		-1.5371385,  1.8760108, -0.2040259,
		-0.4985314,  0.0415560,  1.0572252
	);
	vec3 Fresnel0ToIor( vec3 fresnel0 ) {
		vec3 sqrtF0 = sqrt( fresnel0 );
		return ( vec3( 1.0 ) + sqrtF0 ) / ( vec3( 1.0 ) - sqrtF0 );
	}
	vec3 IorToFresnel0( vec3 transmittedIor, float incidentIor ) {
		return pow2( ( transmittedIor - vec3( incidentIor ) ) / ( transmittedIor + vec3( incidentIor ) ) );
	}
	float IorToFresnel0( float transmittedIor, float incidentIor ) {
		return pow2( ( transmittedIor - incidentIor ) / ( transmittedIor + incidentIor ));
	}
	vec3 evalSensitivity( float OPD, vec3 shift ) {
		float phase = 2.0 * PI * OPD * 1.0e-9;
		vec3 val = vec3( 5.4856e-13, 4.4201e-13, 5.2481e-13 );
		vec3 pos = vec3( 1.6810e+06, 1.7953e+06, 2.2084e+06 );
		vec3 var = vec3( 4.3278e+09, 9.3046e+09, 6.6121e+09 );
		vec3 xyz = val * sqrt( 2.0 * PI * var ) * cos( pos * phase + shift ) * exp( - pow2( phase ) * var );
		xyz.x += 9.7470e-14 * sqrt( 2.0 * PI * 4.5282e+09 ) * cos( 2.2399e+06 * phase + shift[ 0 ] ) * exp( - 4.5282e+09 * pow2( phase ) );
		xyz /= 1.0685e-7;
		vec3 rgb = XYZ_TO_REC709 * xyz;
		return rgb;
	}
	vec3 evalIridescence( float outsideIOR, float eta2, float cosTheta1, float thinFilmThickness, vec3 baseF0 ) {
		vec3 I;
		float iridescenceIOR = mix( outsideIOR, eta2, smoothstep( 0.0, 0.03, thinFilmThickness ) );
		float sinTheta2Sq = pow2( outsideIOR / iridescenceIOR ) * ( 1.0 - pow2( cosTheta1 ) );
		float cosTheta2Sq = 1.0 - sinTheta2Sq;
		if ( cosTheta2Sq < 0.0 ) {
			return vec3( 1.0 );
		}
		float cosTheta2 = sqrt( cosTheta2Sq );
		float R0 = IorToFresnel0( iridescenceIOR, outsideIOR );
		float R12 = F_Schlick( R0, 1.0, cosTheta1 );
		float T121 = 1.0 - R12;
		float phi12 = 0.0;
		if ( iridescenceIOR < outsideIOR ) phi12 = PI;
		float phi21 = PI - phi12;
		vec3 baseIOR = Fresnel0ToIor( clamp( baseF0, 0.0, 0.9999 ) );		vec3 R1 = IorToFresnel0( baseIOR, iridescenceIOR );
		vec3 R23 = F_Schlick( R1, 1.0, cosTheta2 );
		vec3 phi23 = vec3( 0.0 );
		if ( baseIOR[ 0 ] < iridescenceIOR ) phi23[ 0 ] = PI;
		if ( baseIOR[ 1 ] < iridescenceIOR ) phi23[ 1 ] = PI;
		if ( baseIOR[ 2 ] < iridescenceIOR ) phi23[ 2 ] = PI;
		float OPD = 2.0 * iridescenceIOR * thinFilmThickness * cosTheta2;
		vec3 phi = vec3( phi21 ) + phi23;
		vec3 R123 = clamp( R12 * R23, 1e-5, 0.9999 );
		vec3 r123 = sqrt( R123 );
		vec3 Rs = pow2( T121 ) * R23 / ( vec3( 1.0 ) - R123 );
		vec3 C0 = R12 + Rs;
		I = C0;
		vec3 Cm = Rs - T121;
		for ( int m = 1; m <= 2; ++ m ) {
			Cm *= r123;
			vec3 Sm = 2.0 * evalSensitivity( float( m ) * OPD, float( m ) * phi );
			I += Cm * Sm;
		}
		return max( I, vec3( 0.0 ) );
	}
#endif`,$g=`#ifdef USE_BUMPMAP
	uniform sampler2D bumpMap;
	uniform float bumpScale;
	vec2 dHdxy_fwd() {
		vec2 dSTdx = dFdx( vBumpMapUv );
		vec2 dSTdy = dFdy( vBumpMapUv );
		float Hll = bumpScale * texture2D( bumpMap, vBumpMapUv ).x;
		float dBx = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdx ).x - Hll;
		float dBy = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdy ).x - Hll;
		return vec2( dBx, dBy );
	}
	vec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy, float faceDirection ) {
		vec3 vSigmaX = normalize( dFdx( surf_pos.xyz ) );
		vec3 vSigmaY = normalize( dFdy( surf_pos.xyz ) );
		vec3 vN = surf_norm;
		vec3 R1 = cross( vSigmaY, vN );
		vec3 R2 = cross( vN, vSigmaX );
		float fDet = dot( vSigmaX, R1 ) * faceDirection;
		vec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 );
		return normalize( abs( fDet ) * surf_norm - vGrad );
	}
#endif`,jg=`#if NUM_CLIPPING_PLANES > 0
	vec4 plane;
	#pragma unroll_loop_start
	for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {
		plane = clippingPlanes[ i ];
		if ( dot( vClipPosition, plane.xyz ) > plane.w ) discard;
	}
	#pragma unroll_loop_end
	#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES
		bool clipped = true;
		#pragma unroll_loop_start
		for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {
			plane = clippingPlanes[ i ];
			clipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped;
		}
		#pragma unroll_loop_end
		if ( clipped ) discard;
	#endif
#endif`,Qg=`#if NUM_CLIPPING_PLANES > 0
	varying vec3 vClipPosition;
	uniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ];
#endif`,ey=`#if NUM_CLIPPING_PLANES > 0
	varying vec3 vClipPosition;
#endif`,ty=`#if NUM_CLIPPING_PLANES > 0
	vClipPosition = - mvPosition.xyz;
#endif`,ny=`#if defined( USE_COLOR_ALPHA )
	diffuseColor *= vColor;
#elif defined( USE_COLOR )
	diffuseColor.rgb *= vColor;
#endif`,iy=`#if defined( USE_COLOR_ALPHA )
	varying vec4 vColor;
#elif defined( USE_COLOR )
	varying vec3 vColor;
#endif`,sy=`#if defined( USE_COLOR_ALPHA )
	varying vec4 vColor;
#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )
	varying vec3 vColor;
#endif`,ry=`#if defined( USE_COLOR_ALPHA )
	vColor = vec4( 1.0 );
#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )
	vColor = vec3( 1.0 );
#endif
#ifdef USE_COLOR
	vColor *= color;
#endif
#ifdef USE_INSTANCING_COLOR
	vColor.xyz *= instanceColor.xyz;
#endif`,ay=`#define PI 3.141592653589793
#define PI2 6.283185307179586
#define PI_HALF 1.5707963267948966
#define RECIPROCAL_PI 0.3183098861837907
#define RECIPROCAL_PI2 0.15915494309189535
#define EPSILON 1e-6
#ifndef saturate
#define saturate( a ) clamp( a, 0.0, 1.0 )
#endif
#define whiteComplement( a ) ( 1.0 - saturate( a ) )
float pow2( const in float x ) { return x*x; }
vec3 pow2( const in vec3 x ) { return x*x; }
float pow3( const in float x ) { return x*x*x; }
float pow4( const in float x ) { float x2 = x*x; return x2*x2; }
float max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); }
float average( const in vec3 v ) { return dot( v, vec3( 0.3333333 ) ); }
highp float rand( const in vec2 uv ) {
	const highp float a = 12.9898, b = 78.233, c = 43758.5453;
	highp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );
	return fract( sin( sn ) * c );
}
#ifdef HIGH_PRECISION
	float precisionSafeLength( vec3 v ) { return length( v ); }
#else
	float precisionSafeLength( vec3 v ) {
		float maxComponent = max3( abs( v ) );
		return length( v / maxComponent ) * maxComponent;
	}
#endif
struct IncidentLight {
	vec3 color;
	vec3 direction;
	bool visible;
};
struct ReflectedLight {
	vec3 directDiffuse;
	vec3 directSpecular;
	vec3 indirectDiffuse;
	vec3 indirectSpecular;
};
#ifdef USE_ALPHAHASH
	varying vec3 vPosition;
#endif
vec3 transformDirection( in vec3 dir, in mat4 matrix ) {
	return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );
}
vec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {
	return normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );
}
mat3 transposeMat3( const in mat3 m ) {
	mat3 tmp;
	tmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x );
	tmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y );
	tmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z );
	return tmp;
}
float luminance( const in vec3 rgb ) {
	const vec3 weights = vec3( 0.2126729, 0.7151522, 0.0721750 );
	return dot( weights, rgb );
}
bool isPerspectiveMatrix( mat4 m ) {
	return m[ 2 ][ 3 ] == - 1.0;
}
vec2 equirectUv( in vec3 dir ) {
	float u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5;
	float v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;
	return vec2( u, v );
}
vec3 BRDF_Lambert( const in vec3 diffuseColor ) {
	return RECIPROCAL_PI * diffuseColor;
}
vec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) {
	float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );
	return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );
}
float F_Schlick( const in float f0, const in float f90, const in float dotVH ) {
	float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );
	return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );
} // validated`,oy=`#ifdef ENVMAP_TYPE_CUBE_UV
	#define cubeUV_minMipLevel 4.0
	#define cubeUV_minTileSize 16.0
	float getFace( vec3 direction ) {
		vec3 absDirection = abs( direction );
		float face = - 1.0;
		if ( absDirection.x > absDirection.z ) {
			if ( absDirection.x > absDirection.y )
				face = direction.x > 0.0 ? 0.0 : 3.0;
			else
				face = direction.y > 0.0 ? 1.0 : 4.0;
		} else {
			if ( absDirection.z > absDirection.y )
				face = direction.z > 0.0 ? 2.0 : 5.0;
			else
				face = direction.y > 0.0 ? 1.0 : 4.0;
		}
		return face;
	}
	vec2 getUV( vec3 direction, float face ) {
		vec2 uv;
		if ( face == 0.0 ) {
			uv = vec2( direction.z, direction.y ) / abs( direction.x );
		} else if ( face == 1.0 ) {
			uv = vec2( - direction.x, - direction.z ) / abs( direction.y );
		} else if ( face == 2.0 ) {
			uv = vec2( - direction.x, direction.y ) / abs( direction.z );
		} else if ( face == 3.0 ) {
			uv = vec2( - direction.z, direction.y ) / abs( direction.x );
		} else if ( face == 4.0 ) {
			uv = vec2( - direction.x, direction.z ) / abs( direction.y );
		} else {
			uv = vec2( direction.x, direction.y ) / abs( direction.z );
		}
		return 0.5 * ( uv + 1.0 );
	}
	vec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) {
		float face = getFace( direction );
		float filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 );
		mipInt = max( mipInt, cubeUV_minMipLevel );
		float faceSize = exp2( mipInt );
		highp vec2 uv = getUV( direction, face ) * ( faceSize - 2.0 ) + 1.0;
		if ( face > 2.0 ) {
			uv.y += faceSize;
			face -= 3.0;
		}
		uv.x += face * faceSize;
		uv.x += filterInt * 3.0 * cubeUV_minTileSize;
		uv.y += 4.0 * ( exp2( CUBEUV_MAX_MIP ) - faceSize );
		uv.x *= CUBEUV_TEXEL_WIDTH;
		uv.y *= CUBEUV_TEXEL_HEIGHT;
		#ifdef texture2DGradEXT
			return texture2DGradEXT( envMap, uv, vec2( 0.0 ), vec2( 0.0 ) ).rgb;
		#else
			return texture2D( envMap, uv ).rgb;
		#endif
	}
	#define cubeUV_r0 1.0
	#define cubeUV_m0 - 2.0
	#define cubeUV_r1 0.8
	#define cubeUV_m1 - 1.0
	#define cubeUV_r4 0.4
	#define cubeUV_m4 2.0
	#define cubeUV_r5 0.305
	#define cubeUV_m5 3.0
	#define cubeUV_r6 0.21
	#define cubeUV_m6 4.0
	float roughnessToMip( float roughness ) {
		float mip = 0.0;
		if ( roughness >= cubeUV_r1 ) {
			mip = ( cubeUV_r0 - roughness ) * ( cubeUV_m1 - cubeUV_m0 ) / ( cubeUV_r0 - cubeUV_r1 ) + cubeUV_m0;
		} else if ( roughness >= cubeUV_r4 ) {
			mip = ( cubeUV_r1 - roughness ) * ( cubeUV_m4 - cubeUV_m1 ) / ( cubeUV_r1 - cubeUV_r4 ) + cubeUV_m1;
		} else if ( roughness >= cubeUV_r5 ) {
			mip = ( cubeUV_r4 - roughness ) * ( cubeUV_m5 - cubeUV_m4 ) / ( cubeUV_r4 - cubeUV_r5 ) + cubeUV_m4;
		} else if ( roughness >= cubeUV_r6 ) {
			mip = ( cubeUV_r5 - roughness ) * ( cubeUV_m6 - cubeUV_m5 ) / ( cubeUV_r5 - cubeUV_r6 ) + cubeUV_m5;
		} else {
			mip = - 2.0 * log2( 1.16 * roughness );		}
		return mip;
	}
	vec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) {
		float mip = clamp( roughnessToMip( roughness ), cubeUV_m0, CUBEUV_MAX_MIP );
		float mipF = fract( mip );
		float mipInt = floor( mip );
		vec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt );
		if ( mipF == 0.0 ) {
			return vec4( color0, 1.0 );
		} else {
			vec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 );
			return vec4( mix( color0, color1, mipF ), 1.0 );
		}
	}
#endif`,ly=`vec3 transformedNormal = objectNormal;
#ifdef USE_TANGENT
	vec3 transformedTangent = objectTangent;
#endif
#ifdef USE_BATCHING
	mat3 bm = mat3( batchingMatrix );
	transformedNormal /= vec3( dot( bm[ 0 ], bm[ 0 ] ), dot( bm[ 1 ], bm[ 1 ] ), dot( bm[ 2 ], bm[ 2 ] ) );
	transformedNormal = bm * transformedNormal;
	#ifdef USE_TANGENT
		transformedTangent = bm * transformedTangent;
	#endif
#endif
#ifdef USE_INSTANCING
	mat3 im = mat3( instanceMatrix );
	transformedNormal /= vec3( dot( im[ 0 ], im[ 0 ] ), dot( im[ 1 ], im[ 1 ] ), dot( im[ 2 ], im[ 2 ] ) );
	transformedNormal = im * transformedNormal;
	#ifdef USE_TANGENT
		transformedTangent = im * transformedTangent;
	#endif
#endif
transformedNormal = normalMatrix * transformedNormal;
#ifdef FLIP_SIDED
	transformedNormal = - transformedNormal;
#endif
#ifdef USE_TANGENT
	transformedTangent = ( modelViewMatrix * vec4( transformedTangent, 0.0 ) ).xyz;
	#ifdef FLIP_SIDED
		transformedTangent = - transformedTangent;
	#endif
#endif`,cy=`#ifdef USE_DISPLACEMENTMAP
	uniform sampler2D displacementMap;
	uniform float displacementScale;
	uniform float displacementBias;
#endif`,hy=`#ifdef USE_DISPLACEMENTMAP
	transformed += normalize( objectNormal ) * ( texture2D( displacementMap, vDisplacementMapUv ).x * displacementScale + displacementBias );
#endif`,uy=`#ifdef USE_EMISSIVEMAP
	vec4 emissiveColor = texture2D( emissiveMap, vEmissiveMapUv );
	totalEmissiveRadiance *= emissiveColor.rgb;
#endif`,dy=`#ifdef USE_EMISSIVEMAP
	uniform sampler2D emissiveMap;
#endif`,fy="gl_FragColor = linearToOutputTexel( gl_FragColor );",py=`
const mat3 LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 = mat3(
	vec3( 0.8224621, 0.177538, 0.0 ),
	vec3( 0.0331941, 0.9668058, 0.0 ),
	vec3( 0.0170827, 0.0723974, 0.9105199 )
);
const mat3 LINEAR_DISPLAY_P3_TO_LINEAR_SRGB = mat3(
	vec3( 1.2249401, - 0.2249404, 0.0 ),
	vec3( - 0.0420569, 1.0420571, 0.0 ),
	vec3( - 0.0196376, - 0.0786361, 1.0982735 )
);
vec4 LinearSRGBToLinearDisplayP3( in vec4 value ) {
	return vec4( value.rgb * LINEAR_SRGB_TO_LINEAR_DISPLAY_P3, value.a );
}
vec4 LinearDisplayP3ToLinearSRGB( in vec4 value ) {
	return vec4( value.rgb * LINEAR_DISPLAY_P3_TO_LINEAR_SRGB, value.a );
}
vec4 LinearTransferOETF( in vec4 value ) {
	return value;
}
vec4 sRGBTransferOETF( in vec4 value ) {
	return vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a );
}
vec4 LinearToLinear( in vec4 value ) {
	return value;
}
vec4 LinearTosRGB( in vec4 value ) {
	return sRGBTransferOETF( value );
}`,my=`#ifdef USE_ENVMAP
	#ifdef ENV_WORLDPOS
		vec3 cameraToFrag;
		if ( isOrthographic ) {
			cameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );
		} else {
			cameraToFrag = normalize( vWorldPosition - cameraPosition );
		}
		vec3 worldNormal = inverseTransformDirection( normal, viewMatrix );
		#ifdef ENVMAP_MODE_REFLECTION
			vec3 reflectVec = reflect( cameraToFrag, worldNormal );
		#else
			vec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio );
		#endif
	#else
		vec3 reflectVec = vReflect;
	#endif
	#ifdef ENVMAP_TYPE_CUBE
		vec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) );
	#else
		vec4 envColor = vec4( 0.0 );
	#endif
	#ifdef ENVMAP_BLENDING_MULTIPLY
		outgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity );
	#elif defined( ENVMAP_BLENDING_MIX )
		outgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity );
	#elif defined( ENVMAP_BLENDING_ADD )
		outgoingLight += envColor.xyz * specularStrength * reflectivity;
	#endif
#endif`,gy=`#ifdef USE_ENVMAP
	uniform float envMapIntensity;
	uniform float flipEnvMap;
	#ifdef ENVMAP_TYPE_CUBE
		uniform samplerCube envMap;
	#else
		uniform sampler2D envMap;
	#endif
	
#endif`,yy=`#ifdef USE_ENVMAP
	uniform float reflectivity;
	#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT )
		#define ENV_WORLDPOS
	#endif
	#ifdef ENV_WORLDPOS
		varying vec3 vWorldPosition;
		uniform float refractionRatio;
	#else
		varying vec3 vReflect;
	#endif
#endif`,_y=`#ifdef USE_ENVMAP
	#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT )
		#define ENV_WORLDPOS
	#endif
	#ifdef ENV_WORLDPOS
		
		varying vec3 vWorldPosition;
	#else
		varying vec3 vReflect;
		uniform float refractionRatio;
	#endif
#endif`,xy=`#ifdef USE_ENVMAP
	#ifdef ENV_WORLDPOS
		vWorldPosition = worldPosition.xyz;
	#else
		vec3 cameraToVertex;
		if ( isOrthographic ) {
			cameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );
		} else {
			cameraToVertex = normalize( worldPosition.xyz - cameraPosition );
		}
		vec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix );
		#ifdef ENVMAP_MODE_REFLECTION
			vReflect = reflect( cameraToVertex, worldNormal );
		#else
			vReflect = refract( cameraToVertex, worldNormal, refractionRatio );
		#endif
	#endif
#endif`,vy=`#ifdef USE_FOG
	vFogDepth = - mvPosition.z;
#endif`,My=`#ifdef USE_FOG
	varying float vFogDepth;
#endif`,by=`#ifdef USE_FOG
	#ifdef FOG_EXP2
		float fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth );
	#else
		float fogFactor = smoothstep( fogNear, fogFar, vFogDepth );
	#endif
	gl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor );
#endif`,Sy=`#ifdef USE_FOG
	uniform vec3 fogColor;
	varying float vFogDepth;
	#ifdef FOG_EXP2
		uniform float fogDensity;
	#else
		uniform float fogNear;
		uniform float fogFar;
	#endif
#endif`,Ey=`#ifdef USE_GRADIENTMAP
	uniform sampler2D gradientMap;
#endif
vec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) {
	float dotNL = dot( normal, lightDirection );
	vec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 );
	#ifdef USE_GRADIENTMAP
		return vec3( texture2D( gradientMap, coord ).r );
	#else
		vec2 fw = fwidth( coord ) * 0.5;
		return mix( vec3( 0.7 ), vec3( 1.0 ), smoothstep( 0.7 - fw.x, 0.7 + fw.x, coord.x ) );
	#endif
}`,wy=`#ifdef USE_LIGHTMAP
	vec4 lightMapTexel = texture2D( lightMap, vLightMapUv );
	vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity;
	reflectedLight.indirectDiffuse += lightMapIrradiance;
#endif`,Ty=`#ifdef USE_LIGHTMAP
	uniform sampler2D lightMap;
	uniform float lightMapIntensity;
#endif`,Ay=`LambertMaterial material;
material.diffuseColor = diffuseColor.rgb;
material.specularStrength = specularStrength;`,Cy=`varying vec3 vViewPosition;
struct LambertMaterial {
	vec3 diffuseColor;
	float specularStrength;
};
void RE_Direct_Lambert( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) {
	float dotNL = saturate( dot( geometryNormal, directLight.direction ) );
	vec3 irradiance = dotNL * directLight.color;
	reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
void RE_IndirectDiffuse_Lambert( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) {
	reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
#define RE_Direct				RE_Direct_Lambert
#define RE_IndirectDiffuse		RE_IndirectDiffuse_Lambert`,Ry=`uniform bool receiveShadow;
uniform vec3 ambientLightColor;
#if defined( USE_LIGHT_PROBES )
	uniform vec3 lightProbe[ 9 ];
#endif
vec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) {
	float x = normal.x, y = normal.y, z = normal.z;
	vec3 result = shCoefficients[ 0 ] * 0.886227;
	result += shCoefficients[ 1 ] * 2.0 * 0.511664 * y;
	result += shCoefficients[ 2 ] * 2.0 * 0.511664 * z;
	result += shCoefficients[ 3 ] * 2.0 * 0.511664 * x;
	result += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y;
	result += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z;
	result += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 );
	result += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z;
	result += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y );
	return result;
}
vec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) {
	vec3 worldNormal = inverseTransformDirection( normal, viewMatrix );
	vec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe );
	return irradiance;
}
vec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) {
	vec3 irradiance = ambientLightColor;
	return irradiance;
}
float getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) {
	#if defined ( LEGACY_LIGHTS )
		if ( cutoffDistance > 0.0 && decayExponent > 0.0 ) {
			return pow( saturate( - lightDistance / cutoffDistance + 1.0 ), decayExponent );
		}
		return 1.0;
	#else
		float distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 );
		if ( cutoffDistance > 0.0 ) {
			distanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) );
		}
		return distanceFalloff;
	#endif
}
float getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) {
	return smoothstep( coneCosine, penumbraCosine, angleCosine );
}
#if NUM_DIR_LIGHTS > 0
	struct DirectionalLight {
		vec3 direction;
		vec3 color;
	};
	uniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ];
	void getDirectionalLightInfo( const in DirectionalLight directionalLight, out IncidentLight light ) {
		light.color = directionalLight.color;
		light.direction = directionalLight.direction;
		light.visible = true;
	}
#endif
#if NUM_POINT_LIGHTS > 0
	struct PointLight {
		vec3 position;
		vec3 color;
		float distance;
		float decay;
	};
	uniform PointLight pointLights[ NUM_POINT_LIGHTS ];
	void getPointLightInfo( const in PointLight pointLight, const in vec3 geometryPosition, out IncidentLight light ) {
		vec3 lVector = pointLight.position - geometryPosition;
		light.direction = normalize( lVector );
		float lightDistance = length( lVector );
		light.color = pointLight.color;
		light.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay );
		light.visible = ( light.color != vec3( 0.0 ) );
	}
#endif
#if NUM_SPOT_LIGHTS > 0
	struct SpotLight {
		vec3 position;
		vec3 direction;
		vec3 color;
		float distance;
		float decay;
		float coneCos;
		float penumbraCos;
	};
	uniform SpotLight spotLights[ NUM_SPOT_LIGHTS ];
	void getSpotLightInfo( const in SpotLight spotLight, const in vec3 geometryPosition, out IncidentLight light ) {
		vec3 lVector = spotLight.position - geometryPosition;
		light.direction = normalize( lVector );
		float angleCos = dot( light.direction, spotLight.direction );
		float spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos );
		if ( spotAttenuation > 0.0 ) {
			float lightDistance = length( lVector );
			light.color = spotLight.color * spotAttenuation;
			light.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay );
			light.visible = ( light.color != vec3( 0.0 ) );
		} else {
			light.color = vec3( 0.0 );
			light.visible = false;
		}
	}
#endif
#if NUM_RECT_AREA_LIGHTS > 0
	struct RectAreaLight {
		vec3 color;
		vec3 position;
		vec3 halfWidth;
		vec3 halfHeight;
	};
	uniform sampler2D ltc_1;	uniform sampler2D ltc_2;
	uniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ];
#endif
#if NUM_HEMI_LIGHTS > 0
	struct HemisphereLight {
		vec3 direction;
		vec3 skyColor;
		vec3 groundColor;
	};
	uniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ];
	vec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) {
		float dotNL = dot( normal, hemiLight.direction );
		float hemiDiffuseWeight = 0.5 * dotNL + 0.5;
		vec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight );
		return irradiance;
	}
#endif`,Py=`#ifdef USE_ENVMAP
	vec3 getIBLIrradiance( const in vec3 normal ) {
		#ifdef ENVMAP_TYPE_CUBE_UV
			vec3 worldNormal = inverseTransformDirection( normal, viewMatrix );
			vec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 );
			return PI * envMapColor.rgb * envMapIntensity;
		#else
			return vec3( 0.0 );
		#endif
	}
	vec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) {
		#ifdef ENVMAP_TYPE_CUBE_UV
			vec3 reflectVec = reflect( - viewDir, normal );
			reflectVec = normalize( mix( reflectVec, normal, roughness * roughness) );
			reflectVec = inverseTransformDirection( reflectVec, viewMatrix );
			vec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness );
			return envMapColor.rgb * envMapIntensity;
		#else
			return vec3( 0.0 );
		#endif
	}
	#ifdef USE_ANISOTROPY
		vec3 getIBLAnisotropyRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in vec3 bitangent, const in float anisotropy ) {
			#ifdef ENVMAP_TYPE_CUBE_UV
				vec3 bentNormal = cross( bitangent, viewDir );
				bentNormal = normalize( cross( bentNormal, bitangent ) );
				bentNormal = normalize( mix( bentNormal, normal, pow2( pow2( 1.0 - anisotropy * ( 1.0 - roughness ) ) ) ) );
				return getIBLRadiance( viewDir, bentNormal, roughness );
			#else
				return vec3( 0.0 );
			#endif
		}
	#endif
#endif`,Ly=`ToonMaterial material;
material.diffuseColor = diffuseColor.rgb;`,Iy=`varying vec3 vViewPosition;
struct ToonMaterial {
	vec3 diffuseColor;
};
void RE_Direct_Toon( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {
	vec3 irradiance = getGradientIrradiance( geometryNormal, directLight.direction ) * directLight.color;
	reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
void RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {
	reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
#define RE_Direct				RE_Direct_Toon
#define RE_IndirectDiffuse		RE_IndirectDiffuse_Toon`,Dy=`BlinnPhongMaterial material;
material.diffuseColor = diffuseColor.rgb;
material.specularColor = specular;
material.specularShininess = shininess;
material.specularStrength = specularStrength;`,Ny=`varying vec3 vViewPosition;
struct BlinnPhongMaterial {
	vec3 diffuseColor;
	vec3 specularColor;
	float specularShininess;
	float specularStrength;
};
void RE_Direct_BlinnPhong( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {
	float dotNL = saturate( dot( geometryNormal, directLight.direction ) );
	vec3 irradiance = dotNL * directLight.color;
	reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
	reflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometryViewDir, geometryNormal, material.specularColor, material.specularShininess ) * material.specularStrength;
}
void RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {
	reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
#define RE_Direct				RE_Direct_BlinnPhong
#define RE_IndirectDiffuse		RE_IndirectDiffuse_BlinnPhong`,Uy=`PhysicalMaterial material;
material.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor );
vec3 dxy = max( abs( dFdx( nonPerturbedNormal ) ), abs( dFdy( nonPerturbedNormal ) ) );
float geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z );
material.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness;
material.roughness = min( material.roughness, 1.0 );
#ifdef IOR
	material.ior = ior;
	#ifdef USE_SPECULAR
		float specularIntensityFactor = specularIntensity;
		vec3 specularColorFactor = specularColor;
		#ifdef USE_SPECULAR_COLORMAP
			specularColorFactor *= texture2D( specularColorMap, vSpecularColorMapUv ).rgb;
		#endif
		#ifdef USE_SPECULAR_INTENSITYMAP
			specularIntensityFactor *= texture2D( specularIntensityMap, vSpecularIntensityMapUv ).a;
		#endif
		material.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor );
	#else
		float specularIntensityFactor = 1.0;
		vec3 specularColorFactor = vec3( 1.0 );
		material.specularF90 = 1.0;
	#endif
	material.specularColor = mix( min( pow2( ( material.ior - 1.0 ) / ( material.ior + 1.0 ) ) * specularColorFactor, vec3( 1.0 ) ) * specularIntensityFactor, diffuseColor.rgb, metalnessFactor );
#else
	material.specularColor = mix( vec3( 0.04 ), diffuseColor.rgb, metalnessFactor );
	material.specularF90 = 1.0;
#endif
#ifdef USE_CLEARCOAT
	material.clearcoat = clearcoat;
	material.clearcoatRoughness = clearcoatRoughness;
	material.clearcoatF0 = vec3( 0.04 );
	material.clearcoatF90 = 1.0;
	#ifdef USE_CLEARCOATMAP
		material.clearcoat *= texture2D( clearcoatMap, vClearcoatMapUv ).x;
	#endif
	#ifdef USE_CLEARCOAT_ROUGHNESSMAP
		material.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vClearcoatRoughnessMapUv ).y;
	#endif
	material.clearcoat = saturate( material.clearcoat );	material.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 );
	material.clearcoatRoughness += geometryRoughness;
	material.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 );
#endif
#ifdef USE_IRIDESCENCE
	material.iridescence = iridescence;
	material.iridescenceIOR = iridescenceIOR;
	#ifdef USE_IRIDESCENCEMAP
		material.iridescence *= texture2D( iridescenceMap, vIridescenceMapUv ).r;
	#endif
	#ifdef USE_IRIDESCENCE_THICKNESSMAP
		material.iridescenceThickness = (iridescenceThicknessMaximum - iridescenceThicknessMinimum) * texture2D( iridescenceThicknessMap, vIridescenceThicknessMapUv ).g + iridescenceThicknessMinimum;
	#else
		material.iridescenceThickness = iridescenceThicknessMaximum;
	#endif
#endif
#ifdef USE_SHEEN
	material.sheenColor = sheenColor;
	#ifdef USE_SHEEN_COLORMAP
		material.sheenColor *= texture2D( sheenColorMap, vSheenColorMapUv ).rgb;
	#endif
	material.sheenRoughness = clamp( sheenRoughness, 0.07, 1.0 );
	#ifdef USE_SHEEN_ROUGHNESSMAP
		material.sheenRoughness *= texture2D( sheenRoughnessMap, vSheenRoughnessMapUv ).a;
	#endif
#endif
#ifdef USE_ANISOTROPY
	#ifdef USE_ANISOTROPYMAP
		mat2 anisotropyMat = mat2( anisotropyVector.x, anisotropyVector.y, - anisotropyVector.y, anisotropyVector.x );
		vec3 anisotropyPolar = texture2D( anisotropyMap, vAnisotropyMapUv ).rgb;
		vec2 anisotropyV = anisotropyMat * normalize( 2.0 * anisotropyPolar.rg - vec2( 1.0 ) ) * anisotropyPolar.b;
	#else
		vec2 anisotropyV = anisotropyVector;
	#endif
	material.anisotropy = length( anisotropyV );
	if( material.anisotropy == 0.0 ) {
		anisotropyV = vec2( 1.0, 0.0 );
	} else {
		anisotropyV /= material.anisotropy;
		material.anisotropy = saturate( material.anisotropy );
	}
	material.alphaT = mix( pow2( material.roughness ), 1.0, pow2( material.anisotropy ) );
	material.anisotropyT = tbn[ 0 ] * anisotropyV.x + tbn[ 1 ] * anisotropyV.y;
	material.anisotropyB = tbn[ 1 ] * anisotropyV.x - tbn[ 0 ] * anisotropyV.y;
#endif`,Oy=`struct PhysicalMaterial {
	vec3 diffuseColor;
	float roughness;
	vec3 specularColor;
	float specularF90;
	#ifdef USE_CLEARCOAT
		float clearcoat;
		float clearcoatRoughness;
		vec3 clearcoatF0;
		float clearcoatF90;
	#endif
	#ifdef USE_IRIDESCENCE
		float iridescence;
		float iridescenceIOR;
		float iridescenceThickness;
		vec3 iridescenceFresnel;
		vec3 iridescenceF0;
	#endif
	#ifdef USE_SHEEN
		vec3 sheenColor;
		float sheenRoughness;
	#endif
	#ifdef IOR
		float ior;
	#endif
	#ifdef USE_TRANSMISSION
		float transmission;
		float transmissionAlpha;
		float thickness;
		float attenuationDistance;
		vec3 attenuationColor;
	#endif
	#ifdef USE_ANISOTROPY
		float anisotropy;
		float alphaT;
		vec3 anisotropyT;
		vec3 anisotropyB;
	#endif
};
vec3 clearcoatSpecularDirect = vec3( 0.0 );
vec3 clearcoatSpecularIndirect = vec3( 0.0 );
vec3 sheenSpecularDirect = vec3( 0.0 );
vec3 sheenSpecularIndirect = vec3(0.0 );
vec3 Schlick_to_F0( const in vec3 f, const in float f90, const in float dotVH ) {
    float x = clamp( 1.0 - dotVH, 0.0, 1.0 );
    float x2 = x * x;
    float x5 = clamp( x * x2 * x2, 0.0, 0.9999 );
    return ( f - vec3( f90 ) * x5 ) / ( 1.0 - x5 );
}
float V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) {
	float a2 = pow2( alpha );
	float gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );
	float gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );
	return 0.5 / max( gv + gl, EPSILON );
}
float D_GGX( const in float alpha, const in float dotNH ) {
	float a2 = pow2( alpha );
	float denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0;
	return RECIPROCAL_PI * a2 / pow2( denom );
}
#ifdef USE_ANISOTROPY
	float V_GGX_SmithCorrelated_Anisotropic( const in float alphaT, const in float alphaB, const in float dotTV, const in float dotBV, const in float dotTL, const in float dotBL, const in float dotNV, const in float dotNL ) {
		float gv = dotNL * length( vec3( alphaT * dotTV, alphaB * dotBV, dotNV ) );
		float gl = dotNV * length( vec3( alphaT * dotTL, alphaB * dotBL, dotNL ) );
		float v = 0.5 / ( gv + gl );
		return saturate(v);
	}
	float D_GGX_Anisotropic( const in float alphaT, const in float alphaB, const in float dotNH, const in float dotTH, const in float dotBH ) {
		float a2 = alphaT * alphaB;
		highp vec3 v = vec3( alphaB * dotTH, alphaT * dotBH, a2 * dotNH );
		highp float v2 = dot( v, v );
		float w2 = a2 / v2;
		return RECIPROCAL_PI * a2 * pow2 ( w2 );
	}
#endif
#ifdef USE_CLEARCOAT
	vec3 BRDF_GGX_Clearcoat( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material) {
		vec3 f0 = material.clearcoatF0;
		float f90 = material.clearcoatF90;
		float roughness = material.clearcoatRoughness;
		float alpha = pow2( roughness );
		vec3 halfDir = normalize( lightDir + viewDir );
		float dotNL = saturate( dot( normal, lightDir ) );
		float dotNV = saturate( dot( normal, viewDir ) );
		float dotNH = saturate( dot( normal, halfDir ) );
		float dotVH = saturate( dot( viewDir, halfDir ) );
		vec3 F = F_Schlick( f0, f90, dotVH );
		float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );
		float D = D_GGX( alpha, dotNH );
		return F * ( V * D );
	}
#endif
vec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) {
	vec3 f0 = material.specularColor;
	float f90 = material.specularF90;
	float roughness = material.roughness;
	float alpha = pow2( roughness );
	vec3 halfDir = normalize( lightDir + viewDir );
	float dotNL = saturate( dot( normal, lightDir ) );
	float dotNV = saturate( dot( normal, viewDir ) );
	float dotNH = saturate( dot( normal, halfDir ) );
	float dotVH = saturate( dot( viewDir, halfDir ) );
	vec3 F = F_Schlick( f0, f90, dotVH );
	#ifdef USE_IRIDESCENCE
		F = mix( F, material.iridescenceFresnel, material.iridescence );
	#endif
	#ifdef USE_ANISOTROPY
		float dotTL = dot( material.anisotropyT, lightDir );
		float dotTV = dot( material.anisotropyT, viewDir );
		float dotTH = dot( material.anisotropyT, halfDir );
		float dotBL = dot( material.anisotropyB, lightDir );
		float dotBV = dot( material.anisotropyB, viewDir );
		float dotBH = dot( material.anisotropyB, halfDir );
		float V = V_GGX_SmithCorrelated_Anisotropic( material.alphaT, alpha, dotTV, dotBV, dotTL, dotBL, dotNV, dotNL );
		float D = D_GGX_Anisotropic( material.alphaT, alpha, dotNH, dotTH, dotBH );
	#else
		float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );
		float D = D_GGX( alpha, dotNH );
	#endif
	return F * ( V * D );
}
vec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) {
	const float LUT_SIZE = 64.0;
	const float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;
	const float LUT_BIAS = 0.5 / LUT_SIZE;
	float dotNV = saturate( dot( N, V ) );
	vec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) );
	uv = uv * LUT_SCALE + LUT_BIAS;
	return uv;
}
float LTC_ClippedSphereFormFactor( const in vec3 f ) {
	float l = length( f );
	return max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 );
}
vec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) {
	float x = dot( v1, v2 );
	float y = abs( x );
	float a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y;
	float b = 3.4175940 + ( 4.1616724 + y ) * y;
	float v = a / b;
	float theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v;
	return cross( v1, v2 ) * theta_sintheta;
}
vec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) {
	vec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ];
	vec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ];
	vec3 lightNormal = cross( v1, v2 );
	if( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 );
	vec3 T1, T2;
	T1 = normalize( V - N * dot( V, N ) );
	T2 = - cross( N, T1 );
	mat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) );
	vec3 coords[ 4 ];
	coords[ 0 ] = mat * ( rectCoords[ 0 ] - P );
	coords[ 1 ] = mat * ( rectCoords[ 1 ] - P );
	coords[ 2 ] = mat * ( rectCoords[ 2 ] - P );
	coords[ 3 ] = mat * ( rectCoords[ 3 ] - P );
	coords[ 0 ] = normalize( coords[ 0 ] );
	coords[ 1 ] = normalize( coords[ 1 ] );
	coords[ 2 ] = normalize( coords[ 2 ] );
	coords[ 3 ] = normalize( coords[ 3 ] );
	vec3 vectorFormFactor = vec3( 0.0 );
	vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] );
	vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] );
	vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] );
	vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] );
	float result = LTC_ClippedSphereFormFactor( vectorFormFactor );
	return vec3( result );
}
#if defined( USE_SHEEN )
float D_Charlie( float roughness, float dotNH ) {
	float alpha = pow2( roughness );
	float invAlpha = 1.0 / alpha;
	float cos2h = dotNH * dotNH;
	float sin2h = max( 1.0 - cos2h, 0.0078125 );
	return ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI );
}
float V_Neubelt( float dotNV, float dotNL ) {
	return saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) );
}
vec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenColor, const in float sheenRoughness ) {
	vec3 halfDir = normalize( lightDir + viewDir );
	float dotNL = saturate( dot( normal, lightDir ) );
	float dotNV = saturate( dot( normal, viewDir ) );
	float dotNH = saturate( dot( normal, halfDir ) );
	float D = D_Charlie( sheenRoughness, dotNH );
	float V = V_Neubelt( dotNV, dotNL );
	return sheenColor * ( D * V );
}
#endif
float IBLSheenBRDF( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {
	float dotNV = saturate( dot( normal, viewDir ) );
	float r2 = roughness * roughness;
	float a = roughness < 0.25 ? -339.2 * r2 + 161.4 * roughness - 25.9 : -8.48 * r2 + 14.3 * roughness - 9.95;
	float b = roughness < 0.25 ? 44.0 * r2 - 23.7 * roughness + 3.26 : 1.97 * r2 - 3.27 * roughness + 0.72;
	float DG = exp( a * dotNV + b ) + ( roughness < 0.25 ? 0.0 : 0.1 * ( roughness - 0.25 ) );
	return saturate( DG * RECIPROCAL_PI );
}
vec2 DFGApprox( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {
	float dotNV = saturate( dot( normal, viewDir ) );
	const vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 );
	const vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 );
	vec4 r = roughness * c0 + c1;
	float a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y;
	vec2 fab = vec2( - 1.04, 1.04 ) * a004 + r.zw;
	return fab;
}
vec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) {
	vec2 fab = DFGApprox( normal, viewDir, roughness );
	return specularColor * fab.x + specularF90 * fab.y;
}
#ifdef USE_IRIDESCENCE
void computeMultiscatteringIridescence( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float iridescence, const in vec3 iridescenceF0, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {
#else
void computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {
#endif
	vec2 fab = DFGApprox( normal, viewDir, roughness );
	#ifdef USE_IRIDESCENCE
		vec3 Fr = mix( specularColor, iridescenceF0, iridescence );
	#else
		vec3 Fr = specularColor;
	#endif
	vec3 FssEss = Fr * fab.x + specularF90 * fab.y;
	float Ess = fab.x + fab.y;
	float Ems = 1.0 - Ess;
	vec3 Favg = Fr + ( 1.0 - Fr ) * 0.047619;	vec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg );
	singleScatter += FssEss;
	multiScatter += Fms * Ems;
}
#if NUM_RECT_AREA_LIGHTS > 0
	void RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {
		vec3 normal = geometryNormal;
		vec3 viewDir = geometryViewDir;
		vec3 position = geometryPosition;
		vec3 lightPos = rectAreaLight.position;
		vec3 halfWidth = rectAreaLight.halfWidth;
		vec3 halfHeight = rectAreaLight.halfHeight;
		vec3 lightColor = rectAreaLight.color;
		float roughness = material.roughness;
		vec3 rectCoords[ 4 ];
		rectCoords[ 0 ] = lightPos + halfWidth - halfHeight;		rectCoords[ 1 ] = lightPos - halfWidth - halfHeight;
		rectCoords[ 2 ] = lightPos - halfWidth + halfHeight;
		rectCoords[ 3 ] = lightPos + halfWidth + halfHeight;
		vec2 uv = LTC_Uv( normal, viewDir, roughness );
		vec4 t1 = texture2D( ltc_1, uv );
		vec4 t2 = texture2D( ltc_2, uv );
		mat3 mInv = mat3(
			vec3( t1.x, 0, t1.y ),
			vec3(    0, 1,    0 ),
			vec3( t1.z, 0, t1.w )
		);
		vec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y );
		reflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords );
		reflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords );
	}
#endif
void RE_Direct_Physical( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {
	float dotNL = saturate( dot( geometryNormal, directLight.direction ) );
	vec3 irradiance = dotNL * directLight.color;
	#ifdef USE_CLEARCOAT
		float dotNLcc = saturate( dot( geometryClearcoatNormal, directLight.direction ) );
		vec3 ccIrradiance = dotNLcc * directLight.color;
		clearcoatSpecularDirect += ccIrradiance * BRDF_GGX_Clearcoat( directLight.direction, geometryViewDir, geometryClearcoatNormal, material );
	#endif
	#ifdef USE_SHEEN
		sheenSpecularDirect += irradiance * BRDF_Sheen( directLight.direction, geometryViewDir, geometryNormal, material.sheenColor, material.sheenRoughness );
	#endif
	reflectedLight.directSpecular += irradiance * BRDF_GGX( directLight.direction, geometryViewDir, geometryNormal, material );
	reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
void RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {
	reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
void RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {
	#ifdef USE_CLEARCOAT
		clearcoatSpecularIndirect += clearcoatRadiance * EnvironmentBRDF( geometryClearcoatNormal, geometryViewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness );
	#endif
	#ifdef USE_SHEEN
		sheenSpecularIndirect += irradiance * material.sheenColor * IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness );
	#endif
	vec3 singleScattering = vec3( 0.0 );
	vec3 multiScattering = vec3( 0.0 );
	vec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI;
	#ifdef USE_IRIDESCENCE
		computeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.iridescence, material.iridescenceFresnel, material.roughness, singleScattering, multiScattering );
	#else
		computeMultiscattering( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering );
	#endif
	vec3 totalScattering = singleScattering + multiScattering;
	vec3 diffuse = material.diffuseColor * ( 1.0 - max( max( totalScattering.r, totalScattering.g ), totalScattering.b ) );
	reflectedLight.indirectSpecular += radiance * singleScattering;
	reflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance;
	reflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance;
}
#define RE_Direct				RE_Direct_Physical
#define RE_Direct_RectArea		RE_Direct_RectArea_Physical
#define RE_IndirectDiffuse		RE_IndirectDiffuse_Physical
#define RE_IndirectSpecular		RE_IndirectSpecular_Physical
float computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) {
	return saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion );
}`,Fy=`
vec3 geometryPosition = - vViewPosition;
vec3 geometryNormal = normal;
vec3 geometryViewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition );
vec3 geometryClearcoatNormal = vec3( 0.0 );
#ifdef USE_CLEARCOAT
	geometryClearcoatNormal = clearcoatNormal;
#endif
#ifdef USE_IRIDESCENCE
	float dotNVi = saturate( dot( normal, geometryViewDir ) );
	if ( material.iridescenceThickness == 0.0 ) {
		material.iridescence = 0.0;
	} else {
		material.iridescence = saturate( material.iridescence );
	}
	if ( material.iridescence > 0.0 ) {
		material.iridescenceFresnel = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.specularColor );
		material.iridescenceF0 = Schlick_to_F0( material.iridescenceFresnel, 1.0, dotNVi );
	}
#endif
IncidentLight directLight;
#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct )
	PointLight pointLight;
	#if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0
	PointLightShadow pointLightShadow;
	#endif
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {
		pointLight = pointLights[ i ];
		getPointLightInfo( pointLight, geometryPosition, directLight );
		#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS )
		pointLightShadow = pointLightShadows[ i ];
		directLight.color *= ( directLight.visible && receiveShadow ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0;
		#endif
		RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
	}
	#pragma unroll_loop_end
#endif
#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct )
	SpotLight spotLight;
	vec4 spotColor;
	vec3 spotLightCoord;
	bool inSpotLightMap;
	#if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0
	SpotLightShadow spotLightShadow;
	#endif
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {
		spotLight = spotLights[ i ];
		getSpotLightInfo( spotLight, geometryPosition, directLight );
		#if ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS )
		#define SPOT_LIGHT_MAP_INDEX UNROLLED_LOOP_INDEX
		#elif ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )
		#define SPOT_LIGHT_MAP_INDEX NUM_SPOT_LIGHT_MAPS
		#else
		#define SPOT_LIGHT_MAP_INDEX ( UNROLLED_LOOP_INDEX - NUM_SPOT_LIGHT_SHADOWS + NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS )
		#endif
		#if ( SPOT_LIGHT_MAP_INDEX < NUM_SPOT_LIGHT_MAPS )
			spotLightCoord = vSpotLightCoord[ i ].xyz / vSpotLightCoord[ i ].w;
			inSpotLightMap = all( lessThan( abs( spotLightCoord * 2. - 1. ), vec3( 1.0 ) ) );
			spotColor = texture2D( spotLightMap[ SPOT_LIGHT_MAP_INDEX ], spotLightCoord.xy );
			directLight.color = inSpotLightMap ? directLight.color * spotColor.rgb : directLight.color;
		#endif
		#undef SPOT_LIGHT_MAP_INDEX
		#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )
		spotLightShadow = spotLightShadows[ i ];
		directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotLightCoord[ i ] ) : 1.0;
		#endif
		RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
	}
	#pragma unroll_loop_end
#endif
#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct )
	DirectionalLight directionalLight;
	#if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0
	DirectionalLightShadow directionalLightShadow;
	#endif
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {
		directionalLight = directionalLights[ i ];
		getDirectionalLightInfo( directionalLight, directLight );
		#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS )
		directionalLightShadow = directionalLightShadows[ i ];
		directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;
		#endif
		RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
	}
	#pragma unroll_loop_end
#endif
#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea )
	RectAreaLight rectAreaLight;
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) {
		rectAreaLight = rectAreaLights[ i ];
		RE_Direct_RectArea( rectAreaLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
	}
	#pragma unroll_loop_end
#endif
#if defined( RE_IndirectDiffuse )
	vec3 iblIrradiance = vec3( 0.0 );
	vec3 irradiance = getAmbientLightIrradiance( ambientLightColor );
	#if defined( USE_LIGHT_PROBES )
		irradiance += getLightProbeIrradiance( lightProbe, geometryNormal );
	#endif
	#if ( NUM_HEMI_LIGHTS > 0 )
		#pragma unroll_loop_start
		for ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {
			irradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometryNormal );
		}
		#pragma unroll_loop_end
	#endif
#endif
#if defined( RE_IndirectSpecular )
	vec3 radiance = vec3( 0.0 );
	vec3 clearcoatRadiance = vec3( 0.0 );
#endif`,By=`#if defined( RE_IndirectDiffuse )
	#ifdef USE_LIGHTMAP
		vec4 lightMapTexel = texture2D( lightMap, vLightMapUv );
		vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity;
		irradiance += lightMapIrradiance;
	#endif
	#if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV )
		iblIrradiance += getIBLIrradiance( geometryNormal );
	#endif
#endif
#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular )
	#ifdef USE_ANISOTROPY
		radiance += getIBLAnisotropyRadiance( geometryViewDir, geometryNormal, material.roughness, material.anisotropyB, material.anisotropy );
	#else
		radiance += getIBLRadiance( geometryViewDir, geometryNormal, material.roughness );
	#endif
	#ifdef USE_CLEARCOAT
		clearcoatRadiance += getIBLRadiance( geometryViewDir, geometryClearcoatNormal, material.clearcoatRoughness );
	#endif
#endif`,zy=`#if defined( RE_IndirectDiffuse )
	RE_IndirectDiffuse( irradiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
#endif
#if defined( RE_IndirectSpecular )
	RE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
#endif`,ky=`#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )
	gl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5;
#endif`,Vy=`#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )
	uniform float logDepthBufFC;
	varying float vFragDepth;
	varying float vIsPerspective;
#endif`,Hy=`#ifdef USE_LOGDEPTHBUF
	#ifdef USE_LOGDEPTHBUF_EXT
		varying float vFragDepth;
		varying float vIsPerspective;
	#else
		uniform float logDepthBufFC;
	#endif
#endif`,Gy=`#ifdef USE_LOGDEPTHBUF
	#ifdef USE_LOGDEPTHBUF_EXT
		vFragDepth = 1.0 + gl_Position.w;
		vIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) );
	#else
		if ( isPerspectiveMatrix( projectionMatrix ) ) {
			gl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0;
			gl_Position.z *= gl_Position.w;
		}
	#endif
#endif`,Wy=`#ifdef USE_MAP
	vec4 sampledDiffuseColor = texture2D( map, vMapUv );
	#ifdef DECODE_VIDEO_TEXTURE
		sampledDiffuseColor = vec4( mix( pow( sampledDiffuseColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), sampledDiffuseColor.rgb * 0.0773993808, vec3( lessThanEqual( sampledDiffuseColor.rgb, vec3( 0.04045 ) ) ) ), sampledDiffuseColor.w );
	
	#endif
	diffuseColor *= sampledDiffuseColor;
#endif`,Xy=`#ifdef USE_MAP
	uniform sampler2D map;
#endif`,Yy=`#if defined( USE_MAP ) || defined( USE_ALPHAMAP )
	#if defined( USE_POINTS_UV )
		vec2 uv = vUv;
	#else
		vec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy;
	#endif
#endif
#ifdef USE_MAP
	diffuseColor *= texture2D( map, uv );
#endif
#ifdef USE_ALPHAMAP
	diffuseColor.a *= texture2D( alphaMap, uv ).g;
#endif`,qy=`#if defined( USE_POINTS_UV )
	varying vec2 vUv;
#else
	#if defined( USE_MAP ) || defined( USE_ALPHAMAP )
		uniform mat3 uvTransform;
	#endif
#endif
#ifdef USE_MAP
	uniform sampler2D map;
#endif
#ifdef USE_ALPHAMAP
	uniform sampler2D alphaMap;
#endif`,Zy=`float metalnessFactor = metalness;
#ifdef USE_METALNESSMAP
	vec4 texelMetalness = texture2D( metalnessMap, vMetalnessMapUv );
	metalnessFactor *= texelMetalness.b;
#endif`,Jy=`#ifdef USE_METALNESSMAP
	uniform sampler2D metalnessMap;
#endif`,Ky=`#if defined( USE_MORPHCOLORS ) && defined( MORPHTARGETS_TEXTURE )
	vColor *= morphTargetBaseInfluence;
	for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {
		#if defined( USE_COLOR_ALPHA )
			if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ) * morphTargetInfluences[ i ];
		#elif defined( USE_COLOR )
			if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ).rgb * morphTargetInfluences[ i ];
		#endif
	}
#endif`,$y=`#ifdef USE_MORPHNORMALS
	objectNormal *= morphTargetBaseInfluence;
	#ifdef MORPHTARGETS_TEXTURE
		for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {
			if ( morphTargetInfluences[ i ] != 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1 ).xyz * morphTargetInfluences[ i ];
		}
	#else
		objectNormal += morphNormal0 * morphTargetInfluences[ 0 ];
		objectNormal += morphNormal1 * morphTargetInfluences[ 1 ];
		objectNormal += morphNormal2 * morphTargetInfluences[ 2 ];
		objectNormal += morphNormal3 * morphTargetInfluences[ 3 ];
	#endif
#endif`,jy=`#ifdef USE_MORPHTARGETS
	uniform float morphTargetBaseInfluence;
	#ifdef MORPHTARGETS_TEXTURE
		uniform float morphTargetInfluences[ MORPHTARGETS_COUNT ];
		uniform sampler2DArray morphTargetsTexture;
		uniform ivec2 morphTargetsTextureSize;
		vec4 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset ) {
			int texelIndex = vertexIndex * MORPHTARGETS_TEXTURE_STRIDE + offset;
			int y = texelIndex / morphTargetsTextureSize.x;
			int x = texelIndex - y * morphTargetsTextureSize.x;
			ivec3 morphUV = ivec3( x, y, morphTargetIndex );
			return texelFetch( morphTargetsTexture, morphUV, 0 );
		}
	#else
		#ifndef USE_MORPHNORMALS
			uniform float morphTargetInfluences[ 8 ];
		#else
			uniform float morphTargetInfluences[ 4 ];
		#endif
	#endif
#endif`,Qy=`#ifdef USE_MORPHTARGETS
	transformed *= morphTargetBaseInfluence;
	#ifdef MORPHTARGETS_TEXTURE
		for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {
			if ( morphTargetInfluences[ i ] != 0.0 ) transformed += getMorph( gl_VertexID, i, 0 ).xyz * morphTargetInfluences[ i ];
		}
	#else
		transformed += morphTarget0 * morphTargetInfluences[ 0 ];
		transformed += morphTarget1 * morphTargetInfluences[ 1 ];
		transformed += morphTarget2 * morphTargetInfluences[ 2 ];
		transformed += morphTarget3 * morphTargetInfluences[ 3 ];
		#ifndef USE_MORPHNORMALS
			transformed += morphTarget4 * morphTargetInfluences[ 4 ];
			transformed += morphTarget5 * morphTargetInfluences[ 5 ];
			transformed += morphTarget6 * morphTargetInfluences[ 6 ];
			transformed += morphTarget7 * morphTargetInfluences[ 7 ];
		#endif
	#endif
#endif`,e_=`float faceDirection = gl_FrontFacing ? 1.0 : - 1.0;
#ifdef FLAT_SHADED
	vec3 fdx = dFdx( vViewPosition );
	vec3 fdy = dFdy( vViewPosition );
	vec3 normal = normalize( cross( fdx, fdy ) );
#else
	vec3 normal = normalize( vNormal );
	#ifdef DOUBLE_SIDED
		normal *= faceDirection;
	#endif
#endif
#if defined( USE_NORMALMAP_TANGENTSPACE ) || defined( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY )
	#ifdef USE_TANGENT
		mat3 tbn = mat3( normalize( vTangent ), normalize( vBitangent ), normal );
	#else
		mat3 tbn = getTangentFrame( - vViewPosition, normal,
		#if defined( USE_NORMALMAP )
			vNormalMapUv
		#elif defined( USE_CLEARCOAT_NORMALMAP )
			vClearcoatNormalMapUv
		#else
			vUv
		#endif
		);
	#endif
	#if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED )
		tbn[0] *= faceDirection;
		tbn[1] *= faceDirection;
	#endif
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	#ifdef USE_TANGENT
		mat3 tbn2 = mat3( normalize( vTangent ), normalize( vBitangent ), normal );
	#else
		mat3 tbn2 = getTangentFrame( - vViewPosition, normal, vClearcoatNormalMapUv );
	#endif
	#if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED )
		tbn2[0] *= faceDirection;
		tbn2[1] *= faceDirection;
	#endif
#endif
vec3 nonPerturbedNormal = normal;`,t_=`#ifdef USE_NORMALMAP_OBJECTSPACE
	normal = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0;
	#ifdef FLIP_SIDED
		normal = - normal;
	#endif
	#ifdef DOUBLE_SIDED
		normal = normal * faceDirection;
	#endif
	normal = normalize( normalMatrix * normal );
#elif defined( USE_NORMALMAP_TANGENTSPACE )
	vec3 mapN = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0;
	mapN.xy *= normalScale;
	normal = normalize( tbn * mapN );
#elif defined( USE_BUMPMAP )
	normal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection );
#endif`,n_=`#ifndef FLAT_SHADED
	varying vec3 vNormal;
	#ifdef USE_TANGENT
		varying vec3 vTangent;
		varying vec3 vBitangent;
	#endif
#endif`,i_=`#ifndef FLAT_SHADED
	varying vec3 vNormal;
	#ifdef USE_TANGENT
		varying vec3 vTangent;
		varying vec3 vBitangent;
	#endif
#endif`,s_=`#ifndef FLAT_SHADED
	vNormal = normalize( transformedNormal );
	#ifdef USE_TANGENT
		vTangent = normalize( transformedTangent );
		vBitangent = normalize( cross( vNormal, vTangent ) * tangent.w );
	#endif
#endif`,r_=`#ifdef USE_NORMALMAP
	uniform sampler2D normalMap;
	uniform vec2 normalScale;
#endif
#ifdef USE_NORMALMAP_OBJECTSPACE
	uniform mat3 normalMatrix;
#endif
#if ! defined ( USE_TANGENT ) && ( defined ( USE_NORMALMAP_TANGENTSPACE ) || defined ( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) )
	mat3 getTangentFrame( vec3 eye_pos, vec3 surf_norm, vec2 uv ) {
		vec3 q0 = dFdx( eye_pos.xyz );
		vec3 q1 = dFdy( eye_pos.xyz );
		vec2 st0 = dFdx( uv.st );
		vec2 st1 = dFdy( uv.st );
		vec3 N = surf_norm;
		vec3 q1perp = cross( q1, N );
		vec3 q0perp = cross( N, q0 );
		vec3 T = q1perp * st0.x + q0perp * st1.x;
		vec3 B = q1perp * st0.y + q0perp * st1.y;
		float det = max( dot( T, T ), dot( B, B ) );
		float scale = ( det == 0.0 ) ? 0.0 : inversesqrt( det );
		return mat3( T * scale, B * scale, N );
	}
#endif`,a_=`#ifdef USE_CLEARCOAT
	vec3 clearcoatNormal = nonPerturbedNormal;
#endif`,o_=`#ifdef USE_CLEARCOAT_NORMALMAP
	vec3 clearcoatMapN = texture2D( clearcoatNormalMap, vClearcoatNormalMapUv ).xyz * 2.0 - 1.0;
	clearcoatMapN.xy *= clearcoatNormalScale;
	clearcoatNormal = normalize( tbn2 * clearcoatMapN );
#endif`,l_=`#ifdef USE_CLEARCOATMAP
	uniform sampler2D clearcoatMap;
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	uniform sampler2D clearcoatNormalMap;
	uniform vec2 clearcoatNormalScale;
#endif
#ifdef USE_CLEARCOAT_ROUGHNESSMAP
	uniform sampler2D clearcoatRoughnessMap;
#endif`,c_=`#ifdef USE_IRIDESCENCEMAP
	uniform sampler2D iridescenceMap;
#endif
#ifdef USE_IRIDESCENCE_THICKNESSMAP
	uniform sampler2D iridescenceThicknessMap;
#endif`,h_=`#ifdef OPAQUE
diffuseColor.a = 1.0;
#endif
#ifdef USE_TRANSMISSION
diffuseColor.a *= material.transmissionAlpha;
#endif
gl_FragColor = vec4( outgoingLight, diffuseColor.a );`,u_=`vec3 packNormalToRGB( const in vec3 normal ) {
	return normalize( normal ) * 0.5 + 0.5;
}
vec3 unpackRGBToNormal( const in vec3 rgb ) {
	return 2.0 * rgb.xyz - 1.0;
}
const float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;
const vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. );
const vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. );
const float ShiftRight8 = 1. / 256.;
vec4 packDepthToRGBA( const in float v ) {
	vec4 r = vec4( fract( v * PackFactors ), v );
	r.yzw -= r.xyz * ShiftRight8;	return r * PackUpscale;
}
float unpackRGBAToDepth( const in vec4 v ) {
	return dot( v, UnpackFactors );
}
vec2 packDepthToRG( in highp float v ) {
	return packDepthToRGBA( v ).yx;
}
float unpackRGToDepth( const in highp vec2 v ) {
	return unpackRGBAToDepth( vec4( v.xy, 0.0, 0.0 ) );
}
vec4 pack2HalfToRGBA( vec2 v ) {
	vec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) );
	return vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w );
}
vec2 unpackRGBATo2Half( vec4 v ) {
	return vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) );
}
float viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) {
	return ( viewZ + near ) / ( near - far );
}
float orthographicDepthToViewZ( const in float depth, const in float near, const in float far ) {
	return depth * ( near - far ) - near;
}
float viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) {
	return ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ );
}
float perspectiveDepthToViewZ( const in float depth, const in float near, const in float far ) {
	return ( near * far ) / ( ( far - near ) * depth - far );
}`,d_=`#ifdef PREMULTIPLIED_ALPHA
	gl_FragColor.rgb *= gl_FragColor.a;
#endif`,f_=`vec4 mvPosition = vec4( transformed, 1.0 );
#ifdef USE_BATCHING
	mvPosition = batchingMatrix * mvPosition;
#endif
#ifdef USE_INSTANCING
	mvPosition = instanceMatrix * mvPosition;
#endif
mvPosition = modelViewMatrix * mvPosition;
gl_Position = projectionMatrix * mvPosition;`,p_=`#ifdef DITHERING
	gl_FragColor.rgb = dithering( gl_FragColor.rgb );
#endif`,m_=`#ifdef DITHERING
	vec3 dithering( vec3 color ) {
		float grid_position = rand( gl_FragCoord.xy );
		vec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 );
		dither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position );
		return color + dither_shift_RGB;
	}
#endif`,g_=`float roughnessFactor = roughness;
#ifdef USE_ROUGHNESSMAP
	vec4 texelRoughness = texture2D( roughnessMap, vRoughnessMapUv );
	roughnessFactor *= texelRoughness.g;
#endif`,y_=`#ifdef USE_ROUGHNESSMAP
	uniform sampler2D roughnessMap;
#endif`,__=`#if NUM_SPOT_LIGHT_COORDS > 0
	varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ];
#endif
#if NUM_SPOT_LIGHT_MAPS > 0
	uniform sampler2D spotLightMap[ NUM_SPOT_LIGHT_MAPS ];
#endif
#ifdef USE_SHADOWMAP
	#if NUM_DIR_LIGHT_SHADOWS > 0
		uniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ];
		varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];
		struct DirectionalLightShadow {
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
		};
		uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];
	#endif
	#if NUM_SPOT_LIGHT_SHADOWS > 0
		uniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ];
		struct SpotLightShadow {
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
		};
		uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];
	#endif
	#if NUM_POINT_LIGHT_SHADOWS > 0
		uniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ];
		varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];
		struct PointLightShadow {
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
			float shadowCameraNear;
			float shadowCameraFar;
		};
		uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];
	#endif
	float texture2DCompare( sampler2D depths, vec2 uv, float compare ) {
		return step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) );
	}
	vec2 texture2DDistribution( sampler2D shadow, vec2 uv ) {
		return unpackRGBATo2Half( texture2D( shadow, uv ) );
	}
	float VSMShadow (sampler2D shadow, vec2 uv, float compare ){
		float occlusion = 1.0;
		vec2 distribution = texture2DDistribution( shadow, uv );
		float hard_shadow = step( compare , distribution.x );
		if (hard_shadow != 1.0 ) {
			float distance = compare - distribution.x ;
			float variance = max( 0.00000, distribution.y * distribution.y );
			float softness_probability = variance / (variance + distance * distance );			softness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 );			occlusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 );
		}
		return occlusion;
	}
	float getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) {
		float shadow = 1.0;
		shadowCoord.xyz /= shadowCoord.w;
		shadowCoord.z += shadowBias;
		bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0;
		bool frustumTest = inFrustum && shadowCoord.z <= 1.0;
		if ( frustumTest ) {
		#if defined( SHADOWMAP_TYPE_PCF )
			vec2 texelSize = vec2( 1.0 ) / shadowMapSize;
			float dx0 = - texelSize.x * shadowRadius;
			float dy0 = - texelSize.y * shadowRadius;
			float dx1 = + texelSize.x * shadowRadius;
			float dy1 = + texelSize.y * shadowRadius;
			float dx2 = dx0 / 2.0;
			float dy2 = dy0 / 2.0;
			float dx3 = dx1 / 2.0;
			float dy3 = dy1 / 2.0;
			shadow = (
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )
			) * ( 1.0 / 17.0 );
		#elif defined( SHADOWMAP_TYPE_PCF_SOFT )
			vec2 texelSize = vec2( 1.0 ) / shadowMapSize;
			float dx = texelSize.x;
			float dy = texelSize.y;
			vec2 uv = shadowCoord.xy;
			vec2 f = fract( uv * shadowMapSize + 0.5 );
			uv -= f * texelSize;
			shadow = (
				texture2DCompare( shadowMap, uv, shadowCoord.z ) +
				texture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) +
				texture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) +
				mix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ),
					 texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ),
					 f.x ) +
				mix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ),
					 texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ),
					 f.x ) +
				mix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ),
					 texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ),
					 f.y ) +
				mix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ),
					 texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ),
					 f.y ) +
				mix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ),
						  texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ),
						  f.x ),
					 mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ),
						  texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ),
						  f.x ),
					 f.y )
			) * ( 1.0 / 9.0 );
		#elif defined( SHADOWMAP_TYPE_VSM )
			shadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z );
		#else
			shadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z );
		#endif
		}
		return shadow;
	}
	vec2 cubeToUV( vec3 v, float texelSizeY ) {
		vec3 absV = abs( v );
		float scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) );
		absV *= scaleToCube;
		v *= scaleToCube * ( 1.0 - 2.0 * texelSizeY );
		vec2 planar = v.xy;
		float almostATexel = 1.5 * texelSizeY;
		float almostOne = 1.0 - almostATexel;
		if ( absV.z >= almostOne ) {
			if ( v.z > 0.0 )
				planar.x = 4.0 - v.x;
		} else if ( absV.x >= almostOne ) {
			float signX = sign( v.x );
			planar.x = v.z * signX + 2.0 * signX;
		} else if ( absV.y >= almostOne ) {
			float signY = sign( v.y );
			planar.x = v.x + 2.0 * signY + 2.0;
			planar.y = v.z * signY - 2.0;
		}
		return vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 );
	}
	float getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) {
		vec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) );
		vec3 lightToPosition = shadowCoord.xyz;
		float dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear );		dp += shadowBias;
		vec3 bd3D = normalize( lightToPosition );
		#if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM )
			vec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y;
			return (
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp )
			) * ( 1.0 / 9.0 );
		#else
			return texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp );
		#endif
	}
#endif`,x_=`#if NUM_SPOT_LIGHT_COORDS > 0
	uniform mat4 spotLightMatrix[ NUM_SPOT_LIGHT_COORDS ];
	varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ];
#endif
#ifdef USE_SHADOWMAP
	#if NUM_DIR_LIGHT_SHADOWS > 0
		uniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ];
		varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];
		struct DirectionalLightShadow {
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
		};
		uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];
	#endif
	#if NUM_SPOT_LIGHT_SHADOWS > 0
		struct SpotLightShadow {
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
		};
		uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];
	#endif
	#if NUM_POINT_LIGHT_SHADOWS > 0
		uniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ];
		varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];
		struct PointLightShadow {
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
			float shadowCameraNear;
			float shadowCameraFar;
		};
		uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];
	#endif
#endif`,v_=`#if ( defined( USE_SHADOWMAP ) && ( NUM_DIR_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0 ) ) || ( NUM_SPOT_LIGHT_COORDS > 0 )
	vec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix );
	vec4 shadowWorldPosition;
#endif
#if defined( USE_SHADOWMAP )
	#if NUM_DIR_LIGHT_SHADOWS > 0
		#pragma unroll_loop_start
		for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {
			shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 );
			vDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition;
		}
		#pragma unroll_loop_end
	#endif
	#if NUM_POINT_LIGHT_SHADOWS > 0
		#pragma unroll_loop_start
		for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {
			shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 );
			vPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition;
		}
		#pragma unroll_loop_end
	#endif
#endif
#if NUM_SPOT_LIGHT_COORDS > 0
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_SPOT_LIGHT_COORDS; i ++ ) {
		shadowWorldPosition = worldPosition;
		#if ( defined( USE_SHADOWMAP ) && UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )
			shadowWorldPosition.xyz += shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias;
		#endif
		vSpotLightCoord[ i ] = spotLightMatrix[ i ] * shadowWorldPosition;
	}
	#pragma unroll_loop_end
#endif`,M_=`float getShadowMask() {
	float shadow = 1.0;
	#ifdef USE_SHADOWMAP
	#if NUM_DIR_LIGHT_SHADOWS > 0
	DirectionalLightShadow directionalLight;
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {
		directionalLight = directionalLightShadows[ i ];
		shadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;
	}
	#pragma unroll_loop_end
	#endif
	#if NUM_SPOT_LIGHT_SHADOWS > 0
	SpotLightShadow spotLight;
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {
		spotLight = spotLightShadows[ i ];
		shadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotLightCoord[ i ] ) : 1.0;
	}
	#pragma unroll_loop_end
	#endif
	#if NUM_POINT_LIGHT_SHADOWS > 0
	PointLightShadow pointLight;
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {
		pointLight = pointLightShadows[ i ];
		shadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;
	}
	#pragma unroll_loop_end
	#endif
	#endif
	return shadow;
}`,b_=`#ifdef USE_SKINNING
	mat4 boneMatX = getBoneMatrix( skinIndex.x );
	mat4 boneMatY = getBoneMatrix( skinIndex.y );
	mat4 boneMatZ = getBoneMatrix( skinIndex.z );
	mat4 boneMatW = getBoneMatrix( skinIndex.w );
#endif`,S_=`#ifdef USE_SKINNING
	uniform mat4 bindMatrix;
	uniform mat4 bindMatrixInverse;
	uniform highp sampler2D boneTexture;
	mat4 getBoneMatrix( const in float i ) {
		int size = textureSize( boneTexture, 0 ).x;
		int j = int( i ) * 4;
		int x = j % size;
		int y = j / size;
		vec4 v1 = texelFetch( boneTexture, ivec2( x, y ), 0 );
		vec4 v2 = texelFetch( boneTexture, ivec2( x + 1, y ), 0 );
		vec4 v3 = texelFetch( boneTexture, ivec2( x + 2, y ), 0 );
		vec4 v4 = texelFetch( boneTexture, ivec2( x + 3, y ), 0 );
		return mat4( v1, v2, v3, v4 );
	}
#endif`,E_=`#ifdef USE_SKINNING
	vec4 skinVertex = bindMatrix * vec4( transformed, 1.0 );
	vec4 skinned = vec4( 0.0 );
	skinned += boneMatX * skinVertex * skinWeight.x;
	skinned += boneMatY * skinVertex * skinWeight.y;
	skinned += boneMatZ * skinVertex * skinWeight.z;
	skinned += boneMatW * skinVertex * skinWeight.w;
	transformed = ( bindMatrixInverse * skinned ).xyz;
#endif`,w_=`#ifdef USE_SKINNING
	mat4 skinMatrix = mat4( 0.0 );
	skinMatrix += skinWeight.x * boneMatX;
	skinMatrix += skinWeight.y * boneMatY;
	skinMatrix += skinWeight.z * boneMatZ;
	skinMatrix += skinWeight.w * boneMatW;
	skinMatrix = bindMatrixInverse * skinMatrix * bindMatrix;
	objectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz;
	#ifdef USE_TANGENT
		objectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz;
	#endif
#endif`,T_=`float specularStrength;
#ifdef USE_SPECULARMAP
	vec4 texelSpecular = texture2D( specularMap, vSpecularMapUv );
	specularStrength = texelSpecular.r;
#else
	specularStrength = 1.0;
#endif`,A_=`#ifdef USE_SPECULARMAP
	uniform sampler2D specularMap;
#endif`,C_=`#if defined( TONE_MAPPING )
	gl_FragColor.rgb = toneMapping( gl_FragColor.rgb );
#endif`,R_=`#ifndef saturate
#define saturate( a ) clamp( a, 0.0, 1.0 )
#endif
uniform float toneMappingExposure;
vec3 LinearToneMapping( vec3 color ) {
	return saturate( toneMappingExposure * color );
}
vec3 ReinhardToneMapping( vec3 color ) {
	color *= toneMappingExposure;
	return saturate( color / ( vec3( 1.0 ) + color ) );
}
vec3 OptimizedCineonToneMapping( vec3 color ) {
	color *= toneMappingExposure;
	color = max( vec3( 0.0 ), color - 0.004 );
	return pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) );
}
vec3 RRTAndODTFit( vec3 v ) {
	vec3 a = v * ( v + 0.0245786 ) - 0.000090537;
	vec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081;
	return a / b;
}
vec3 ACESFilmicToneMapping( vec3 color ) {
	const mat3 ACESInputMat = mat3(
		vec3( 0.59719, 0.07600, 0.02840 ),		vec3( 0.35458, 0.90834, 0.13383 ),
		vec3( 0.04823, 0.01566, 0.83777 )
	);
	const mat3 ACESOutputMat = mat3(
		vec3(  1.60475, -0.10208, -0.00327 ),		vec3( -0.53108,  1.10813, -0.07276 ),
		vec3( -0.07367, -0.00605,  1.07602 )
	);
	color *= toneMappingExposure / 0.6;
	color = ACESInputMat * color;
	color = RRTAndODTFit( color );
	color = ACESOutputMat * color;
	return saturate( color );
}
const mat3 LINEAR_REC2020_TO_LINEAR_SRGB = mat3(
	vec3( 1.6605, - 0.1246, - 0.0182 ),
	vec3( - 0.5876, 1.1329, - 0.1006 ),
	vec3( - 0.0728, - 0.0083, 1.1187 )
);
const mat3 LINEAR_SRGB_TO_LINEAR_REC2020 = mat3(
	vec3( 0.6274, 0.0691, 0.0164 ),
	vec3( 0.3293, 0.9195, 0.0880 ),
	vec3( 0.0433, 0.0113, 0.8956 )
);
vec3 agxDefaultContrastApprox( vec3 x ) {
	vec3 x2 = x * x;
	vec3 x4 = x2 * x2;
	return + 15.5 * x4 * x2
		- 40.14 * x4 * x
		+ 31.96 * x4
		- 6.868 * x2 * x
		+ 0.4298 * x2
		+ 0.1191 * x
		- 0.00232;
}
vec3 AgXToneMapping( vec3 color ) {
	const mat3 AgXInsetMatrix = mat3(
		vec3( 0.856627153315983, 0.137318972929847, 0.11189821299995 ),
		vec3( 0.0951212405381588, 0.761241990602591, 0.0767994186031903 ),
		vec3( 0.0482516061458583, 0.101439036467562, 0.811302368396859 )
	);
	const mat3 AgXOutsetMatrix = mat3(
		vec3( 1.1271005818144368, - 0.1413297634984383, - 0.14132976349843826 ),
		vec3( - 0.11060664309660323, 1.157823702216272, - 0.11060664309660294 ),
		vec3( - 0.016493938717834573, - 0.016493938717834257, 1.2519364065950405 )
	);
	const float AgxMinEv = - 12.47393;	const float AgxMaxEv = 4.026069;
	color = LINEAR_SRGB_TO_LINEAR_REC2020 * color;
	color *= toneMappingExposure;
	color = AgXInsetMatrix * color;
	color = max( color, 1e-10 );	color = log2( color );
	color = ( color - AgxMinEv ) / ( AgxMaxEv - AgxMinEv );
	color = clamp( color, 0.0, 1.0 );
	color = agxDefaultContrastApprox( color );
	color = AgXOutsetMatrix * color;
	color = pow( max( vec3( 0.0 ), color ), vec3( 2.2 ) );
	color = LINEAR_REC2020_TO_LINEAR_SRGB * color;
	return color;
}
vec3 CustomToneMapping( vec3 color ) { return color; }`,P_=`#ifdef USE_TRANSMISSION
	material.transmission = transmission;
	material.transmissionAlpha = 1.0;
	material.thickness = thickness;
	material.attenuationDistance = attenuationDistance;
	material.attenuationColor = attenuationColor;
	#ifdef USE_TRANSMISSIONMAP
		material.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r;
	#endif
	#ifdef USE_THICKNESSMAP
		material.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g;
	#endif
	vec3 pos = vWorldPosition;
	vec3 v = normalize( cameraPosition - pos );
	vec3 n = inverseTransformDirection( normal, viewMatrix );
	vec4 transmitted = getIBLVolumeRefraction(
		n, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,
		pos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness,
		material.attenuationColor, material.attenuationDistance );
	material.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission );
	totalDiffuse = mix( totalDiffuse, transmitted.rgb, material.transmission );
#endif`,L_=`#ifdef USE_TRANSMISSION
	uniform float transmission;
	uniform float thickness;
	uniform float attenuationDistance;
	uniform vec3 attenuationColor;
	#ifdef USE_TRANSMISSIONMAP
		uniform sampler2D transmissionMap;
	#endif
	#ifdef USE_THICKNESSMAP
		uniform sampler2D thicknessMap;
	#endif
	uniform vec2 transmissionSamplerSize;
	uniform sampler2D transmissionSamplerMap;
	uniform mat4 modelMatrix;
	uniform mat4 projectionMatrix;
	varying vec3 vWorldPosition;
	float w0( float a ) {
		return ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 );
	}
	float w1( float a ) {
		return ( 1.0 / 6.0 ) * ( a *  a * ( 3.0 * a - 6.0 ) + 4.0 );
	}
	float w2( float a ){
		return ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 );
	}
	float w3( float a ) {
		return ( 1.0 / 6.0 ) * ( a * a * a );
	}
	float g0( float a ) {
		return w0( a ) + w1( a );
	}
	float g1( float a ) {
		return w2( a ) + w3( a );
	}
	float h0( float a ) {
		return - 1.0 + w1( a ) / ( w0( a ) + w1( a ) );
	}
	float h1( float a ) {
		return 1.0 + w3( a ) / ( w2( a ) + w3( a ) );
	}
	vec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) {
		uv = uv * texelSize.zw + 0.5;
		vec2 iuv = floor( uv );
		vec2 fuv = fract( uv );
		float g0x = g0( fuv.x );
		float g1x = g1( fuv.x );
		float h0x = h0( fuv.x );
		float h1x = h1( fuv.x );
		float h0y = h0( fuv.y );
		float h1y = h1( fuv.y );
		vec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;
		vec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;
		vec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;
		vec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;
		return g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) +
			g1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) );
	}
	vec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) {
		vec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) );
		vec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) );
		vec2 fLodSizeInv = 1.0 / fLodSize;
		vec2 cLodSizeInv = 1.0 / cLodSize;
		vec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) );
		vec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) );
		return mix( fSample, cSample, fract( lod ) );
	}
	vec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) {
		vec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior );
		vec3 modelScale;
		modelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) );
		modelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) );
		modelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) );
		return normalize( refractionVector ) * thickness * modelScale;
	}
	float applyIorToRoughness( const in float roughness, const in float ior ) {
		return roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 );
	}
	vec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) {
		float lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior );
		return textureBicubic( transmissionSamplerMap, fragCoord.xy, lod );
	}
	vec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) {
		if ( isinf( attenuationDistance ) ) {
			return vec3( 1.0 );
		} else {
			vec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance;
			vec3 transmittance = exp( - attenuationCoefficient * transmissionDistance );			return transmittance;
		}
	}
	vec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor,
		const in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix,
		const in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness,
		const in vec3 attenuationColor, const in float attenuationDistance ) {
		vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix );
		vec3 refractedRayExit = position + transmissionRay;
		vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 );
		vec2 refractionCoords = ndcPos.xy / ndcPos.w;
		refractionCoords += 1.0;
		refractionCoords /= 2.0;
		vec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior );
		vec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance );
		vec3 attenuatedColor = transmittance * transmittedLight.rgb;
		vec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness );
		float transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0;
		return vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor );
	}
#endif`,I_=`#if defined( USE_UV ) || defined( USE_ANISOTROPY )
	varying vec2 vUv;
#endif
#ifdef USE_MAP
	varying vec2 vMapUv;
#endif
#ifdef USE_ALPHAMAP
	varying vec2 vAlphaMapUv;
#endif
#ifdef USE_LIGHTMAP
	varying vec2 vLightMapUv;
#endif
#ifdef USE_AOMAP
	varying vec2 vAoMapUv;
#endif
#ifdef USE_BUMPMAP
	varying vec2 vBumpMapUv;
#endif
#ifdef USE_NORMALMAP
	varying vec2 vNormalMapUv;
#endif
#ifdef USE_EMISSIVEMAP
	varying vec2 vEmissiveMapUv;
#endif
#ifdef USE_METALNESSMAP
	varying vec2 vMetalnessMapUv;
#endif
#ifdef USE_ROUGHNESSMAP
	varying vec2 vRoughnessMapUv;
#endif
#ifdef USE_ANISOTROPYMAP
	varying vec2 vAnisotropyMapUv;
#endif
#ifdef USE_CLEARCOATMAP
	varying vec2 vClearcoatMapUv;
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	varying vec2 vClearcoatNormalMapUv;
#endif
#ifdef USE_CLEARCOAT_ROUGHNESSMAP
	varying vec2 vClearcoatRoughnessMapUv;
#endif
#ifdef USE_IRIDESCENCEMAP
	varying vec2 vIridescenceMapUv;
#endif
#ifdef USE_IRIDESCENCE_THICKNESSMAP
	varying vec2 vIridescenceThicknessMapUv;
#endif
#ifdef USE_SHEEN_COLORMAP
	varying vec2 vSheenColorMapUv;
#endif
#ifdef USE_SHEEN_ROUGHNESSMAP
	varying vec2 vSheenRoughnessMapUv;
#endif
#ifdef USE_SPECULARMAP
	varying vec2 vSpecularMapUv;
#endif
#ifdef USE_SPECULAR_COLORMAP
	varying vec2 vSpecularColorMapUv;
#endif
#ifdef USE_SPECULAR_INTENSITYMAP
	varying vec2 vSpecularIntensityMapUv;
#endif
#ifdef USE_TRANSMISSIONMAP
	uniform mat3 transmissionMapTransform;
	varying vec2 vTransmissionMapUv;
#endif
#ifdef USE_THICKNESSMAP
	uniform mat3 thicknessMapTransform;
	varying vec2 vThicknessMapUv;
#endif`,D_=`#if defined( USE_UV ) || defined( USE_ANISOTROPY )
	varying vec2 vUv;
#endif
#ifdef USE_MAP
	uniform mat3 mapTransform;
	varying vec2 vMapUv;
#endif
#ifdef USE_ALPHAMAP
	uniform mat3 alphaMapTransform;
	varying vec2 vAlphaMapUv;
#endif
#ifdef USE_LIGHTMAP
	uniform mat3 lightMapTransform;
	varying vec2 vLightMapUv;
#endif
#ifdef USE_AOMAP
	uniform mat3 aoMapTransform;
	varying vec2 vAoMapUv;
#endif
#ifdef USE_BUMPMAP
	uniform mat3 bumpMapTransform;
	varying vec2 vBumpMapUv;
#endif
#ifdef USE_NORMALMAP
	uniform mat3 normalMapTransform;
	varying vec2 vNormalMapUv;
#endif
#ifdef USE_DISPLACEMENTMAP
	uniform mat3 displacementMapTransform;
	varying vec2 vDisplacementMapUv;
#endif
#ifdef USE_EMISSIVEMAP
	uniform mat3 emissiveMapTransform;
	varying vec2 vEmissiveMapUv;
#endif
#ifdef USE_METALNESSMAP
	uniform mat3 metalnessMapTransform;
	varying vec2 vMetalnessMapUv;
#endif
#ifdef USE_ROUGHNESSMAP
	uniform mat3 roughnessMapTransform;
	varying vec2 vRoughnessMapUv;
#endif
#ifdef USE_ANISOTROPYMAP
	uniform mat3 anisotropyMapTransform;
	varying vec2 vAnisotropyMapUv;
#endif
#ifdef USE_CLEARCOATMAP
	uniform mat3 clearcoatMapTransform;
	varying vec2 vClearcoatMapUv;
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	uniform mat3 clearcoatNormalMapTransform;
	varying vec2 vClearcoatNormalMapUv;
#endif
#ifdef USE_CLEARCOAT_ROUGHNESSMAP
	uniform mat3 clearcoatRoughnessMapTransform;
	varying vec2 vClearcoatRoughnessMapUv;
#endif
#ifdef USE_SHEEN_COLORMAP
	uniform mat3 sheenColorMapTransform;
	varying vec2 vSheenColorMapUv;
#endif
#ifdef USE_SHEEN_ROUGHNESSMAP
	uniform mat3 sheenRoughnessMapTransform;
	varying vec2 vSheenRoughnessMapUv;
#endif
#ifdef USE_IRIDESCENCEMAP
	uniform mat3 iridescenceMapTransform;
	varying vec2 vIridescenceMapUv;
#endif
#ifdef USE_IRIDESCENCE_THICKNESSMAP
	uniform mat3 iridescenceThicknessMapTransform;
	varying vec2 vIridescenceThicknessMapUv;
#endif
#ifdef USE_SPECULARMAP
	uniform mat3 specularMapTransform;
	varying vec2 vSpecularMapUv;
#endif
#ifdef USE_SPECULAR_COLORMAP
	uniform mat3 specularColorMapTransform;
	varying vec2 vSpecularColorMapUv;
#endif
#ifdef USE_SPECULAR_INTENSITYMAP
	uniform mat3 specularIntensityMapTransform;
	varying vec2 vSpecularIntensityMapUv;
#endif
#ifdef USE_TRANSMISSIONMAP
	uniform mat3 transmissionMapTransform;
	varying vec2 vTransmissionMapUv;
#endif
#ifdef USE_THICKNESSMAP
	uniform mat3 thicknessMapTransform;
	varying vec2 vThicknessMapUv;
#endif`,N_=`#if defined( USE_UV ) || defined( USE_ANISOTROPY )
	vUv = vec3( uv, 1 ).xy;
#endif
#ifdef USE_MAP
	vMapUv = ( mapTransform * vec3( MAP_UV, 1 ) ).xy;
#endif
#ifdef USE_ALPHAMAP
	vAlphaMapUv = ( alphaMapTransform * vec3( ALPHAMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_LIGHTMAP
	vLightMapUv = ( lightMapTransform * vec3( LIGHTMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_AOMAP
	vAoMapUv = ( aoMapTransform * vec3( AOMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_BUMPMAP
	vBumpMapUv = ( bumpMapTransform * vec3( BUMPMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_NORMALMAP
	vNormalMapUv = ( normalMapTransform * vec3( NORMALMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_DISPLACEMENTMAP
	vDisplacementMapUv = ( displacementMapTransform * vec3( DISPLACEMENTMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_EMISSIVEMAP
	vEmissiveMapUv = ( emissiveMapTransform * vec3( EMISSIVEMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_METALNESSMAP
	vMetalnessMapUv = ( metalnessMapTransform * vec3( METALNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_ROUGHNESSMAP
	vRoughnessMapUv = ( roughnessMapTransform * vec3( ROUGHNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_ANISOTROPYMAP
	vAnisotropyMapUv = ( anisotropyMapTransform * vec3( ANISOTROPYMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_CLEARCOATMAP
	vClearcoatMapUv = ( clearcoatMapTransform * vec3( CLEARCOATMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	vClearcoatNormalMapUv = ( clearcoatNormalMapTransform * vec3( CLEARCOAT_NORMALMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_CLEARCOAT_ROUGHNESSMAP
	vClearcoatRoughnessMapUv = ( clearcoatRoughnessMapTransform * vec3( CLEARCOAT_ROUGHNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_IRIDESCENCEMAP
	vIridescenceMapUv = ( iridescenceMapTransform * vec3( IRIDESCENCEMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_IRIDESCENCE_THICKNESSMAP
	vIridescenceThicknessMapUv = ( iridescenceThicknessMapTransform * vec3( IRIDESCENCE_THICKNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SHEEN_COLORMAP
	vSheenColorMapUv = ( sheenColorMapTransform * vec3( SHEEN_COLORMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SHEEN_ROUGHNESSMAP
	vSheenRoughnessMapUv = ( sheenRoughnessMapTransform * vec3( SHEEN_ROUGHNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SPECULARMAP
	vSpecularMapUv = ( specularMapTransform * vec3( SPECULARMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SPECULAR_COLORMAP
	vSpecularColorMapUv = ( specularColorMapTransform * vec3( SPECULAR_COLORMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SPECULAR_INTENSITYMAP
	vSpecularIntensityMapUv = ( specularIntensityMapTransform * vec3( SPECULAR_INTENSITYMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_TRANSMISSIONMAP
	vTransmissionMapUv = ( transmissionMapTransform * vec3( TRANSMISSIONMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_THICKNESSMAP
	vThicknessMapUv = ( thicknessMapTransform * vec3( THICKNESSMAP_UV, 1 ) ).xy;
#endif`,U_=`#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION ) || NUM_SPOT_LIGHT_COORDS > 0
	vec4 worldPosition = vec4( transformed, 1.0 );
	#ifdef USE_BATCHING
		worldPosition = batchingMatrix * worldPosition;
	#endif
	#ifdef USE_INSTANCING
		worldPosition = instanceMatrix * worldPosition;
	#endif
	worldPosition = modelMatrix * worldPosition;
#endif`,O_=`varying vec2 vUv;
uniform mat3 uvTransform;
void main() {
	vUv = ( uvTransform * vec3( uv, 1 ) ).xy;
	gl_Position = vec4( position.xy, 1.0, 1.0 );
}`,F_=`uniform sampler2D t2D;
uniform float backgroundIntensity;
varying vec2 vUv;
void main() {
	vec4 texColor = texture2D( t2D, vUv );
	#ifdef DECODE_VIDEO_TEXTURE
		texColor = vec4( mix( pow( texColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), texColor.rgb * 0.0773993808, vec3( lessThanEqual( texColor.rgb, vec3( 0.04045 ) ) ) ), texColor.w );
	#endif
	texColor.rgb *= backgroundIntensity;
	gl_FragColor = texColor;
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
}`,B_=`varying vec3 vWorldDirection;
#include <common>
void main() {
	vWorldDirection = transformDirection( position, modelMatrix );
	#include <begin_vertex>
	#include <project_vertex>
	gl_Position.z = gl_Position.w;
}`,z_=`#ifdef ENVMAP_TYPE_CUBE
	uniform samplerCube envMap;
#elif defined( ENVMAP_TYPE_CUBE_UV )
	uniform sampler2D envMap;
#endif
uniform float flipEnvMap;
uniform float backgroundBlurriness;
uniform float backgroundIntensity;
varying vec3 vWorldDirection;
#include <cube_uv_reflection_fragment>
void main() {
	#ifdef ENVMAP_TYPE_CUBE
		vec4 texColor = textureCube( envMap, vec3( flipEnvMap * vWorldDirection.x, vWorldDirection.yz ) );
	#elif defined( ENVMAP_TYPE_CUBE_UV )
		vec4 texColor = textureCubeUV( envMap, vWorldDirection, backgroundBlurriness );
	#else
		vec4 texColor = vec4( 0.0, 0.0, 0.0, 1.0 );
	#endif
	texColor.rgb *= backgroundIntensity;
	gl_FragColor = texColor;
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
}`,k_=`varying vec3 vWorldDirection;
#include <common>
void main() {
	vWorldDirection = transformDirection( position, modelMatrix );
	#include <begin_vertex>
	#include <project_vertex>
	gl_Position.z = gl_Position.w;
}`,V_=`uniform samplerCube tCube;
uniform float tFlip;
uniform float opacity;
varying vec3 vWorldDirection;
void main() {
	vec4 texColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) );
	gl_FragColor = texColor;
	gl_FragColor.a *= opacity;
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
}`,H_=`#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
varying vec2 vHighPrecisionZW;
void main() {
	#include <uv_vertex>
	#include <batching_vertex>
	#include <skinbase_vertex>
	#ifdef USE_DISPLACEMENTMAP
		#include <beginnormal_vertex>
		#include <morphnormal_vertex>
		#include <skinnormal_vertex>
	#endif
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vHighPrecisionZW = gl_Position.zw;
}`,G_=`#if DEPTH_PACKING == 3200
	uniform float opacity;
#endif
#include <common>
#include <packing>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
varying vec2 vHighPrecisionZW;
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( 1.0 );
	#if DEPTH_PACKING == 3200
		diffuseColor.a = opacity;
	#endif
	#include <map_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <logdepthbuf_fragment>
	float fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5;
	#if DEPTH_PACKING == 3200
		gl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity );
	#elif DEPTH_PACKING == 3201
		gl_FragColor = packDepthToRGBA( fragCoordZ );
	#endif
}`,W_=`#define DISTANCE
varying vec3 vWorldPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <batching_vertex>
	#include <skinbase_vertex>
	#ifdef USE_DISPLACEMENTMAP
		#include <beginnormal_vertex>
		#include <morphnormal_vertex>
		#include <skinnormal_vertex>
	#endif
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <worldpos_vertex>
	#include <clipping_planes_vertex>
	vWorldPosition = worldPosition.xyz;
}`,X_=`#define DISTANCE
uniform vec3 referencePosition;
uniform float nearDistance;
uniform float farDistance;
varying vec3 vWorldPosition;
#include <common>
#include <packing>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <clipping_planes_pars_fragment>
void main () {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( 1.0 );
	#include <map_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	float dist = length( vWorldPosition - referencePosition );
	dist = ( dist - nearDistance ) / ( farDistance - nearDistance );
	dist = saturate( dist );
	gl_FragColor = packDepthToRGBA( dist );
}`,Y_=`varying vec3 vWorldDirection;
#include <common>
void main() {
	vWorldDirection = transformDirection( position, modelMatrix );
	#include <begin_vertex>
	#include <project_vertex>
}`,q_=`uniform sampler2D tEquirect;
varying vec3 vWorldDirection;
#include <common>
void main() {
	vec3 direction = normalize( vWorldDirection );
	vec2 sampleUV = equirectUv( direction );
	gl_FragColor = texture2D( tEquirect, sampleUV );
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
}`,Z_=`uniform float scale;
attribute float lineDistance;
varying float vLineDistance;
#include <common>
#include <uv_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <morphtarget_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	vLineDistance = scale * lineDistance;
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <fog_vertex>
}`,J_=`uniform vec3 diffuse;
uniform float opacity;
uniform float dashSize;
uniform float totalSize;
varying float vLineDistance;
#include <common>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <fog_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	if ( mod( vLineDistance, totalSize ) > dashSize ) {
		discard;
	}
	vec3 outgoingLight = vec3( 0.0 );
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	outgoingLight = diffuseColor.rgb;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
}`,K_=`#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <envmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#if defined ( USE_ENVMAP ) || defined ( USE_SKINNING )
		#include <beginnormal_vertex>
		#include <morphnormal_vertex>
		#include <skinbase_vertex>
		#include <skinnormal_vertex>
		#include <defaultnormal_vertex>
	#endif
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <worldpos_vertex>
	#include <envmap_vertex>
	#include <fog_vertex>
}`,$_=`uniform vec3 diffuse;
uniform float opacity;
#ifndef FLAT_SHADED
	varying vec3 vNormal;
#endif
#include <common>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <envmap_common_pars_fragment>
#include <envmap_pars_fragment>
#include <fog_pars_fragment>
#include <specularmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <specularmap_fragment>
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	#ifdef USE_LIGHTMAP
		vec4 lightMapTexel = texture2D( lightMap, vLightMapUv );
		reflectedLight.indirectDiffuse += lightMapTexel.rgb * lightMapIntensity * RECIPROCAL_PI;
	#else
		reflectedLight.indirectDiffuse += vec3( 1.0 );
	#endif
	#include <aomap_fragment>
	reflectedLight.indirectDiffuse *= diffuseColor.rgb;
	vec3 outgoingLight = reflectedLight.indirectDiffuse;
	#include <envmap_fragment>
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,j_=`#define LAMBERT
varying vec3 vViewPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <envmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <shadowmap_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vViewPosition = - mvPosition.xyz;
	#include <worldpos_vertex>
	#include <envmap_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
}`,Q_=`#define LAMBERT
uniform vec3 diffuse;
uniform vec3 emissive;
uniform float opacity;
#include <common>
#include <packing>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <emissivemap_pars_fragment>
#include <envmap_common_pars_fragment>
#include <envmap_pars_fragment>
#include <fog_pars_fragment>
#include <bsdfs>
#include <lights_pars_begin>
#include <normal_pars_fragment>
#include <lights_lambert_pars_fragment>
#include <shadowmap_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <specularmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( diffuse, opacity );
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	vec3 totalEmissiveRadiance = emissive;
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <specularmap_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	#include <emissivemap_fragment>
	#include <lights_lambert_fragment>
	#include <lights_fragment_begin>
	#include <lights_fragment_maps>
	#include <lights_fragment_end>
	#include <aomap_fragment>
	vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;
	#include <envmap_fragment>
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,e0=`#define MATCAP
varying vec3 vViewPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <color_pars_vertex>
#include <displacementmap_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <fog_vertex>
	vViewPosition = - mvPosition.xyz;
}`,t0=`#define MATCAP
uniform vec3 diffuse;
uniform float opacity;
uniform sampler2D matcap;
varying vec3 vViewPosition;
#include <common>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <fog_pars_fragment>
#include <normal_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	vec3 viewDir = normalize( vViewPosition );
	vec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) );
	vec3 y = cross( viewDir, x );
	vec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5;
	#ifdef USE_MATCAP
		vec4 matcapColor = texture2D( matcap, uv );
	#else
		vec4 matcapColor = vec4( vec3( mix( 0.2, 0.8, uv.y ) ), 1.0 );
	#endif
	vec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,n0=`#define NORMAL
#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )
	varying vec3 vViewPosition;
#endif
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )
	vViewPosition = - mvPosition.xyz;
#endif
}`,i0=`#define NORMAL
uniform float opacity;
#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )
	varying vec3 vViewPosition;
#endif
#include <packing>
#include <uv_pars_fragment>
#include <normal_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	#include <logdepthbuf_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	gl_FragColor = vec4( packNormalToRGB( normal ), opacity );
	#ifdef OPAQUE
		gl_FragColor.a = 1.0;
	#endif
}`,s0=`#define PHONG
varying vec3 vViewPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <envmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <shadowmap_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vViewPosition = - mvPosition.xyz;
	#include <worldpos_vertex>
	#include <envmap_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
}`,r0=`#define PHONG
uniform vec3 diffuse;
uniform vec3 emissive;
uniform vec3 specular;
uniform float shininess;
uniform float opacity;
#include <common>
#include <packing>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <emissivemap_pars_fragment>
#include <envmap_common_pars_fragment>
#include <envmap_pars_fragment>
#include <fog_pars_fragment>
#include <bsdfs>
#include <lights_pars_begin>
#include <normal_pars_fragment>
#include <lights_phong_pars_fragment>
#include <shadowmap_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <specularmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( diffuse, opacity );
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	vec3 totalEmissiveRadiance = emissive;
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <specularmap_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	#include <emissivemap_fragment>
	#include <lights_phong_fragment>
	#include <lights_fragment_begin>
	#include <lights_fragment_maps>
	#include <lights_fragment_end>
	#include <aomap_fragment>
	vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;
	#include <envmap_fragment>
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,a0=`#define STANDARD
varying vec3 vViewPosition;
#ifdef USE_TRANSMISSION
	varying vec3 vWorldPosition;
#endif
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <shadowmap_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vViewPosition = - mvPosition.xyz;
	#include <worldpos_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
#ifdef USE_TRANSMISSION
	vWorldPosition = worldPosition.xyz;
#endif
}`,o0=`#define STANDARD
#ifdef PHYSICAL
	#define IOR
	#define USE_SPECULAR
#endif
uniform vec3 diffuse;
uniform vec3 emissive;
uniform float roughness;
uniform float metalness;
uniform float opacity;
#ifdef IOR
	uniform float ior;
#endif
#ifdef USE_SPECULAR
	uniform float specularIntensity;
	uniform vec3 specularColor;
	#ifdef USE_SPECULAR_COLORMAP
		uniform sampler2D specularColorMap;
	#endif
	#ifdef USE_SPECULAR_INTENSITYMAP
		uniform sampler2D specularIntensityMap;
	#endif
#endif
#ifdef USE_CLEARCOAT
	uniform float clearcoat;
	uniform float clearcoatRoughness;
#endif
#ifdef USE_IRIDESCENCE
	uniform float iridescence;
	uniform float iridescenceIOR;
	uniform float iridescenceThicknessMinimum;
	uniform float iridescenceThicknessMaximum;
#endif
#ifdef USE_SHEEN
	uniform vec3 sheenColor;
	uniform float sheenRoughness;
	#ifdef USE_SHEEN_COLORMAP
		uniform sampler2D sheenColorMap;
	#endif
	#ifdef USE_SHEEN_ROUGHNESSMAP
		uniform sampler2D sheenRoughnessMap;
	#endif
#endif
#ifdef USE_ANISOTROPY
	uniform vec2 anisotropyVector;
	#ifdef USE_ANISOTROPYMAP
		uniform sampler2D anisotropyMap;
	#endif
#endif
varying vec3 vViewPosition;
#include <common>
#include <packing>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <emissivemap_pars_fragment>
#include <iridescence_fragment>
#include <cube_uv_reflection_fragment>
#include <envmap_common_pars_fragment>
#include <envmap_physical_pars_fragment>
#include <fog_pars_fragment>
#include <lights_pars_begin>
#include <normal_pars_fragment>
#include <lights_physical_pars_fragment>
#include <transmission_pars_fragment>
#include <shadowmap_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <clearcoat_pars_fragment>
#include <iridescence_pars_fragment>
#include <roughnessmap_pars_fragment>
#include <metalnessmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( diffuse, opacity );
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	vec3 totalEmissiveRadiance = emissive;
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <roughnessmap_fragment>
	#include <metalnessmap_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	#include <clearcoat_normal_fragment_begin>
	#include <clearcoat_normal_fragment_maps>
	#include <emissivemap_fragment>
	#include <lights_physical_fragment>
	#include <lights_fragment_begin>
	#include <lights_fragment_maps>
	#include <lights_fragment_end>
	#include <aomap_fragment>
	vec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse;
	vec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular;
	#include <transmission_fragment>
	vec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance;
	#ifdef USE_SHEEN
		float sheenEnergyComp = 1.0 - 0.157 * max3( material.sheenColor );
		outgoingLight = outgoingLight * sheenEnergyComp + sheenSpecularDirect + sheenSpecularIndirect;
	#endif
	#ifdef USE_CLEARCOAT
		float dotNVcc = saturate( dot( geometryClearcoatNormal, geometryViewDir ) );
		vec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc );
		outgoingLight = outgoingLight * ( 1.0 - material.clearcoat * Fcc ) + ( clearcoatSpecularDirect + clearcoatSpecularIndirect ) * material.clearcoat;
	#endif
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,l0=`#define TOON
varying vec3 vViewPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <shadowmap_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vViewPosition = - mvPosition.xyz;
	#include <worldpos_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
}`,c0=`#define TOON
uniform vec3 diffuse;
uniform vec3 emissive;
uniform float opacity;
#include <common>
#include <packing>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <emissivemap_pars_fragment>
#include <gradientmap_pars_fragment>
#include <fog_pars_fragment>
#include <bsdfs>
#include <lights_pars_begin>
#include <normal_pars_fragment>
#include <lights_toon_pars_fragment>
#include <shadowmap_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( diffuse, opacity );
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	vec3 totalEmissiveRadiance = emissive;
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	#include <emissivemap_fragment>
	#include <lights_toon_fragment>
	#include <lights_fragment_begin>
	#include <lights_fragment_maps>
	#include <lights_fragment_end>
	#include <aomap_fragment>
	vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,h0=`uniform float size;
uniform float scale;
#include <common>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <morphtarget_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
#ifdef USE_POINTS_UV
	varying vec2 vUv;
	uniform mat3 uvTransform;
#endif
void main() {
	#ifdef USE_POINTS_UV
		vUv = ( uvTransform * vec3( uv, 1 ) ).xy;
	#endif
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <project_vertex>
	gl_PointSize = size;
	#ifdef USE_SIZEATTENUATION
		bool isPerspective = isPerspectiveMatrix( projectionMatrix );
		if ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );
	#endif
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <worldpos_vertex>
	#include <fog_vertex>
}`,u0=`uniform vec3 diffuse;
uniform float opacity;
#include <common>
#include <color_pars_fragment>
#include <map_particle_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <fog_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec3 outgoingLight = vec3( 0.0 );
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <logdepthbuf_fragment>
	#include <map_particle_fragment>
	#include <color_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	outgoingLight = diffuseColor.rgb;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
}`,d0=`#include <common>
#include <batching_pars_vertex>
#include <fog_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <shadowmap_pars_vertex>
void main() {
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <worldpos_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
}`,f0=`uniform vec3 color;
uniform float opacity;
#include <common>
#include <packing>
#include <fog_pars_fragment>
#include <bsdfs>
#include <lights_pars_begin>
#include <logdepthbuf_pars_fragment>
#include <shadowmap_pars_fragment>
#include <shadowmask_pars_fragment>
void main() {
	#include <logdepthbuf_fragment>
	gl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) );
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
}`,p0=`uniform float rotation;
uniform vec2 center;
#include <common>
#include <uv_pars_vertex>
#include <fog_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	vec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 );
	vec2 scale;
	scale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) );
	scale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) );
	#ifndef USE_SIZEATTENUATION
		bool isPerspective = isPerspectiveMatrix( projectionMatrix );
		if ( isPerspective ) scale *= - mvPosition.z;
	#endif
	vec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale;
	vec2 rotatedPosition;
	rotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y;
	rotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y;
	mvPosition.xy += rotatedPosition;
	gl_Position = projectionMatrix * mvPosition;
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <fog_vertex>
}`,m0=`uniform vec3 diffuse;
uniform float opacity;
#include <common>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <fog_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec3 outgoingLight = vec3( 0.0 );
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	outgoingLight = diffuseColor.rgb;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
}`,Ge={alphahash_fragment:Fg,alphahash_pars_fragment:Bg,alphamap_fragment:zg,alphamap_pars_fragment:kg,alphatest_fragment:Vg,alphatest_pars_fragment:Hg,aomap_fragment:Gg,aomap_pars_fragment:Wg,batching_pars_vertex:Xg,batching_vertex:Yg,begin_vertex:qg,beginnormal_vertex:Zg,bsdfs:Jg,iridescence_fragment:Kg,bumpmap_pars_fragment:$g,clipping_planes_fragment:jg,clipping_planes_pars_fragment:Qg,clipping_planes_pars_vertex:ey,clipping_planes_vertex:ty,color_fragment:ny,color_pars_fragment:iy,color_pars_vertex:sy,color_vertex:ry,common:ay,cube_uv_reflection_fragment:oy,defaultnormal_vertex:ly,displacementmap_pars_vertex:cy,displacementmap_vertex:hy,emissivemap_fragment:uy,emissivemap_pars_fragment:dy,colorspace_fragment:fy,colorspace_pars_fragment:py,envmap_fragment:my,envmap_common_pars_fragment:gy,envmap_pars_fragment:yy,envmap_pars_vertex:_y,envmap_physical_pars_fragment:Py,envmap_vertex:xy,fog_vertex:vy,fog_pars_vertex:My,fog_fragment:by,fog_pars_fragment:Sy,gradientmap_pars_fragment:Ey,lightmap_fragment:wy,lightmap_pars_fragment:Ty,lights_lambert_fragment:Ay,lights_lambert_pars_fragment:Cy,lights_pars_begin:Ry,lights_toon_fragment:Ly,lights_toon_pars_fragment:Iy,lights_phong_fragment:Dy,lights_phong_pars_fragment:Ny,lights_physical_fragment:Uy,lights_physical_pars_fragment:Oy,lights_fragment_begin:Fy,lights_fragment_maps:By,lights_fragment_end:zy,logdepthbuf_fragment:ky,logdepthbuf_pars_fragment:Vy,logdepthbuf_pars_vertex:Hy,logdepthbuf_vertex:Gy,map_fragment:Wy,map_pars_fragment:Xy,map_particle_fragment:Yy,map_particle_pars_fragment:qy,metalnessmap_fragment:Zy,metalnessmap_pars_fragment:Jy,morphcolor_vertex:Ky,morphnormal_vertex:$y,morphtarget_pars_vertex:jy,morphtarget_vertex:Qy,normal_fragment_begin:e_,normal_fragment_maps:t_,normal_pars_fragment:n_,normal_pars_vertex:i_,normal_vertex:s_,normalmap_pars_fragment:r_,clearcoat_normal_fragment_begin:a_,clearcoat_normal_fragment_maps:o_,clearcoat_pars_fragment:l_,iridescence_pars_fragment:c_,opaque_fragment:h_,packing:u_,premultiplied_alpha_fragment:d_,project_vertex:f_,dithering_fragment:p_,dithering_pars_fragment:m_,roughnessmap_fragment:g_,roughnessmap_pars_fragment:y_,shadowmap_pars_fragment:__,shadowmap_pars_vertex:x_,shadowmap_vertex:v_,shadowmask_pars_fragment:M_,skinbase_vertex:b_,skinning_pars_vertex:S_,skinning_vertex:E_,skinnormal_vertex:w_,specularmap_fragment:T_,specularmap_pars_fragment:A_,tonemapping_fragment:C_,tonemapping_pars_fragment:R_,transmission_fragment:P_,transmission_pars_fragment:L_,uv_pars_fragment:I_,uv_pars_vertex:D_,uv_vertex:N_,worldpos_vertex:U_,background_vert:O_,background_frag:F_,backgroundCube_vert:B_,backgroundCube_frag:z_,cube_vert:k_,cube_frag:V_,depth_vert:H_,depth_frag:G_,distanceRGBA_vert:W_,distanceRGBA_frag:X_,equirect_vert:Y_,equirect_frag:q_,linedashed_vert:Z_,linedashed_frag:J_,meshbasic_vert:K_,meshbasic_frag:$_,meshlambert_vert:j_,meshlambert_frag:Q_,meshmatcap_vert:e0,meshmatcap_frag:t0,meshnormal_vert:n0,meshnormal_frag:i0,meshphong_vert:s0,meshphong_frag:r0,meshphysical_vert:a0,meshphysical_frag:o0,meshtoon_vert:l0,meshtoon_frag:c0,points_vert:h0,points_frag:u0,shadow_vert:d0,shadow_frag:f0,sprite_vert:p0,sprite_frag:m0},_e={common:{diffuse:{value:new Se(16777215)},opacity:{value:1},map:{value:null},mapTransform:{value:new Xe},alphaMap:{value:null},alphaMapTransform:{value:new Xe},alphaTest:{value:0}},specularmap:{specularMap:{value:null},specularMapTransform:{value:new Xe}},envmap:{envMap:{value:null},flipEnvMap:{value:-1},reflectivity:{value:1},ior:{value:1.5},refractionRatio:{value:.98}},aomap:{aoMap:{value:null},aoMapIntensity:{value:1},aoMapTransform:{value:new Xe}},lightmap:{lightMap:{value:null},lightMapIntensity:{value:1},lightMapTransform:{value:new Xe}},bumpmap:{bumpMap:{value:null},bumpMapTransform:{value:new Xe},bumpScale:{value:1}},normalmap:{normalMap:{value:null},normalMapTransform:{value:new Xe},normalScale:{value:new ne(1,1)}},displacementmap:{displacementMap:{value:null},displacementMapTransform:{value:new Xe},displacementScale:{value:1},displacementBias:{value:0}},emissivemap:{emissiveMap:{value:null},emissiveMapTransform:{value:new Xe}},metalnessmap:{metalnessMap:{value:null},metalnessMapTransform:{value:new Xe}},roughnessmap:{roughnessMap:{value:null},roughnessMapTransform:{value:new Xe}},gradientmap:{gradientMap:{value:null}},fog:{fogDensity:{value:25e-5},fogNear:{value:1},fogFar:{value:2e3},fogColor:{value:new Se(16777215)}},lights:{ambientLightColor:{value:[]},lightProbe:{value:[]},directionalLights:{value:[],properties:{direction:{},color:{}}},directionalLightShadows:{value:[],properties:{shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{}}},directionalShadowMap:{value:[]},directionalShadowMatrix:{value:[]},spotLights:{value:[],properties:{color:{},position:{},direction:{},distance:{},coneCos:{},penumbraCos:{},decay:{}}},spotLightShadows:{value:[],properties:{shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{}}},spotLightMap:{value:[]},spotShadowMap:{value:[]},spotLightMatrix:{value:[]},pointLights:{value:[],properties:{color:{},position:{},decay:{},distance:{}}},pointLightShadows:{value:[],properties:{shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{},shadowCameraNear:{},shadowCameraFar:{}}},pointShadowMap:{value:[]},pointShadowMatrix:{value:[]},hemisphereLights:{value:[],properties:{direction:{},skyColor:{},groundColor:{}}},rectAreaLights:{value:[],properties:{color:{},position:{},width:{},height:{}}},ltc_1:{value:null},ltc_2:{value:null}},points:{diffuse:{value:new Se(16777215)},opacity:{value:1},size:{value:1},scale:{value:1},map:{value:null},alphaMap:{value:null},alphaMapTransform:{value:new Xe},alphaTest:{value:0},uvTransform:{value:new Xe}},sprite:{diffuse:{value:new Se(16777215)},opacity:{value:1},center:{value:new ne(.5,.5)},rotation:{value:0},map:{value:null},mapTransform:{value:new Xe},alphaMap:{value:null},alphaMapTransform:{value:new Xe},alphaTest:{value:0}}},ln={basic:{uniforms:kt([_e.common,_e.specularmap,_e.envmap,_e.aomap,_e.lightmap,_e.fog]),vertexShader:Ge.meshbasic_vert,fragmentShader:Ge.meshbasic_frag},lambert:{uniforms:kt([_e.common,_e.specularmap,_e.envmap,_e.aomap,_e.lightmap,_e.emissivemap,_e.bumpmap,_e.normalmap,_e.displacementmap,_e.fog,_e.lights,{emissive:{value:new Se(0)}}]),vertexShader:Ge.meshlambert_vert,fragmentShader:Ge.meshlambert_frag},phong:{uniforms:kt([_e.common,_e.specularmap,_e.envmap,_e.aomap,_e.lightmap,_e.emissivemap,_e.bumpmap,_e.normalmap,_e.displacementmap,_e.fog,_e.lights,{emissive:{value:new Se(0)},specular:{value:new Se(1118481)},shininess:{value:30}}]),vertexShader:Ge.meshphong_vert,fragmentShader:Ge.meshphong_frag},standard:{uniforms:kt([_e.common,_e.envmap,_e.aomap,_e.lightmap,_e.emissivemap,_e.bumpmap,_e.normalmap,_e.displacementmap,_e.roughnessmap,_e.metalnessmap,_e.fog,_e.lights,{emissive:{value:new Se(0)},roughness:{value:1},metalness:{value:0},envMapIntensity:{value:1}}]),vertexShader:Ge.meshphysical_vert,fragmentShader:Ge.meshphysical_frag},toon:{uniforms:kt([_e.common,_e.aomap,_e.lightmap,_e.emissivemap,_e.bumpmap,_e.normalmap,_e.displacementmap,_e.gradientmap,_e.fog,_e.lights,{emissive:{value:new Se(0)}}]),vertexShader:Ge.meshtoon_vert,fragmentShader:Ge.meshtoon_frag},matcap:{uniforms:kt([_e.common,_e.bumpmap,_e.normalmap,_e.displacementmap,_e.fog,{matcap:{value:null}}]),vertexShader:Ge.meshmatcap_vert,fragmentShader:Ge.meshmatcap_frag},points:{uniforms:kt([_e.points,_e.fog]),vertexShader:Ge.points_vert,fragmentShader:Ge.points_frag},dashed:{uniforms:kt([_e.common,_e.fog,{scale:{value:1},dashSize:{value:1},totalSize:{value:2}}]),vertexShader:Ge.linedashed_vert,fragmentShader:Ge.linedashed_frag},depth:{uniforms:kt([_e.common,_e.displacementmap]),vertexShader:Ge.depth_vert,fragmentShader:Ge.depth_frag},normal:{uniforms:kt([_e.common,_e.bumpmap,_e.normalmap,_e.displacementmap,{opacity:{value:1}}]),vertexShader:Ge.meshnormal_vert,fragmentShader:Ge.meshnormal_frag},sprite:{uniforms:kt([_e.sprite,_e.fog]),vertexShader:Ge.sprite_vert,fragmentShader:Ge.sprite_frag},background:{uniforms:{uvTransform:{value:new Xe},t2D:{value:null},backgroundIntensity:{value:1}},vertexShader:Ge.background_vert,fragmentShader:Ge.background_frag},backgroundCube:{uniforms:{envMap:{value:null},flipEnvMap:{value:-1},backgroundBlurriness:{value:0},backgroundIntensity:{value:1}},vertexShader:Ge.backgroundCube_vert,fragmentShader:Ge.backgroundCube_frag},cube:{uniforms:{tCube:{value:null},tFlip:{value:-1},opacity:{value:1}},vertexShader:Ge.cube_vert,fragmentShader:Ge.cube_frag},equirect:{uniforms:{tEquirect:{value:null}},vertexShader:Ge.equirect_vert,fragmentShader:Ge.equirect_frag},distanceRGBA:{uniforms:kt([_e.common,_e.displacementmap,{referencePosition:{value:new U},nearDistance:{value:1},farDistance:{value:1e3}}]),vertexShader:Ge.distanceRGBA_vert,fragmentShader:Ge.distanceRGBA_frag},shadow:{uniforms:kt([_e.lights,_e.fog,{color:{value:new Se(0)},opacity:{value:1}}]),vertexShader:Ge.shadow_vert,fragmentShader:Ge.shadow_frag}};ln.physical={uniforms:kt([ln.standard.uniforms,{clearcoat:{value:0},clearcoatMap:{value:null},clearcoatMapTransform:{value:new Xe},clearcoatNormalMap:{value:null},clearcoatNormalMapTransform:{value:new Xe},clearcoatNormalScale:{value:new ne(1,1)},clearcoatRoughness:{value:0},clearcoatRoughnessMap:{value:null},clearcoatRoughnessMapTransform:{value:new Xe},iridescence:{value:0},iridescenceMap:{value:null},iridescenceMapTransform:{value:new Xe},iridescenceIOR:{value:1.3},iridescenceThicknessMinimum:{value:100},iridescenceThicknessMaximum:{value:400},iridescenceThicknessMap:{value:null},iridescenceThicknessMapTransform:{value:new Xe},sheen:{value:0},sheenColor:{value:new Se(0)},sheenColorMap:{value:null},sheenColorMapTransform:{value:new Xe},sheenRoughness:{value:1},sheenRoughnessMap:{value:null},sheenRoughnessMapTransform:{value:new Xe},transmission:{value:0},transmissionMap:{value:null},transmissionMapTransform:{value:new Xe},transmissionSamplerSize:{value:new ne},transmissionSamplerMap:{value:null},thickness:{value:0},thicknessMap:{value:null},thicknessMapTransform:{value:new Xe},attenuationDistance:{value:0},attenuationColor:{value:new Se(0)},specularColor:{value:new Se(1,1,1)},specularColorMap:{value:null},specularColorMapTransform:{value:new Xe},specularIntensity:{value:1},specularIntensityMap:{value:null},specularIntensityMapTransform:{value:new Xe},anisotropyVector:{value:new ne},anisotropyMap:{value:null},anisotropyMapTransform:{value:new Xe}}]),vertexShader:Ge.meshphysical_vert,fragmentShader:Ge.meshphysical_frag};var ga={r:0,b:0,g:0};function g0(s,e,t,n,i,r,a){let o=new Se(0),l=r===!0?0:1,c,h,f=null,p=0,m=null;function g(u,d){let _=!1,x=d.isScene===!0?d.background:null;x&&x.isTexture&&(x=(d.backgroundBlurriness>0?t:e).get(x)),x===null?y(o,l):x&&x.isColor&&(y(x,1),_=!0);let v=s.xr.getEnvironmentBlendMode();v==="additive"?n.buffers.color.setClear(0,0,0,1,a):v==="alpha-blend"&&n.buffers.color.setClear(0,0,0,0,a),(s.autoClear||_)&&s.clear(s.autoClearColor,s.autoClearDepth,s.autoClearStencil),x&&(x.isCubeTexture||x.mapping===Ds)?(h===void 0&&(h=new xt(new Ii(1,1,1),new nn({name:"BackgroundCubeMaterial",uniforms:bs(ln.backgroundCube.uniforms),vertexShader:ln.backgroundCube.vertexShader,fragmentShader:ln.backgroundCube.fragmentShader,side:Vt,depthTest:!1,depthWrite:!1,fog:!1})),h.geometry.deleteAttribute("normal"),h.geometry.deleteAttribute("uv"),h.onBeforeRender=function(A,w,b){this.matrixWorld.copyPosition(b.matrixWorld)},Object.defineProperty(h.material,"envMap",{get:function(){return this.uniforms.envMap.value}}),i.update(h)),h.material.uniforms.envMap.value=x,h.material.uniforms.flipEnvMap.value=x.isCubeTexture&&x.isRenderTargetTexture===!1?-1:1,h.material.uniforms.backgroundBlurriness.value=d.backgroundBlurriness,h.material.uniforms.backgroundIntensity.value=d.backgroundIntensity,h.material.toneMapped=it.getTransfer(x.colorSpace)!==rt,(f!==x||p!==x.version||m!==s.toneMapping)&&(h.material.needsUpdate=!0,f=x,p=x.version,m=s.toneMapping),h.layers.enableAll(),u.unshift(h,h.geometry,h.material,0,0,null)):x&&x.isTexture&&(c===void 0&&(c=new xt(new _r(2,2),new nn({name:"BackgroundMaterial",uniforms:bs(ln.background.uniforms),vertexShader:ln.background.vertexShader,fragmentShader:ln.background.fragmentShader,side:kn,depthTest:!1,depthWrite:!1,fog:!1})),c.geometry.deleteAttribute("normal"),Object.defineProperty(c.material,"map",{get:function(){return this.uniforms.t2D.value}}),i.update(c)),c.material.uniforms.t2D.value=x,c.material.uniforms.backgroundIntensity.value=d.backgroundIntensity,c.material.toneMapped=it.getTransfer(x.colorSpace)!==rt,x.matrixAutoUpdate===!0&&x.updateMatrix(),c.material.uniforms.uvTransform.value.copy(x.matrix),(f!==x||p!==x.version||m!==s.toneMapping)&&(c.material.needsUpdate=!0,f=x,p=x.version,m=s.toneMapping),c.layers.enableAll(),u.unshift(c,c.geometry,c.material,0,0,null))}function y(u,d){u.getRGB(ga,Cp(s)),n.buffers.color.setClear(ga.r,ga.g,ga.b,d,a)}return{getClearColor:function(){return o},setClearColor:function(u,d=1){o.set(u),l=d,y(o,l)},getClearAlpha:function(){return l},setClearAlpha:function(u){l=u,y(o,l)},render:g}}function y0(s,e,t,n){let i=s.getParameter(s.MAX_VERTEX_ATTRIBS),r=n.isWebGL2?null:e.get("OES_vertex_array_object"),a=n.isWebGL2||r!==null,o={},l=u(null),c=l,h=!1;function f(C,I,B,H,X){let V=!1;if(a){let W=y(H,B,I);c!==W&&(c=W,m(c.object)),V=d(C,H,B,X),V&&_(C,H,B,X)}else{let W=I.wireframe===!0;(c.geometry!==H.id||c.program!==B.id||c.wireframe!==W)&&(c.geometry=H.id,c.program=B.id,c.wireframe=W,V=!0)}X!==null&&t.update(X,s.ELEMENT_ARRAY_BUFFER),(V||h)&&(h=!1,T(C,I,B,H),X!==null&&s.bindBuffer(s.ELEMENT_ARRAY_BUFFER,t.get(X).buffer))}function p(){return n.isWebGL2?s.createVertexArray():r.createVertexArrayOES()}function m(C){return n.isWebGL2?s.bindVertexArray(C):r.bindVertexArrayOES(C)}function g(C){return n.isWebGL2?s.deleteVertexArray(C):r.deleteVertexArrayOES(C)}function y(C,I,B){let H=B.wireframe===!0,X=o[C.id];X===void 0&&(X={},o[C.id]=X);let V=X[I.id];V===void 0&&(V={},X[I.id]=V);let W=V[H];return W===void 0&&(W=u(p()),V[H]=W),W}function u(C){let I=[],B=[],H=[];for(let X=0;X<i;X++)I[X]=0,B[X]=0,H[X]=0;return{geometry:null,program:null,wireframe:!1,newAttributes:I,enabledAttributes:B,attributeDivisors:H,object:C,attributes:{},index:null}}function d(C,I,B,H){let X=c.attributes,V=I.attributes,W=0,Y=B.getAttributes();for(let te in Y)if(Y[te].location>=0){let $=X[te],ae=V[te];if(ae===void 0&&(te==="instanceMatrix"&&C.instanceMatrix&&(ae=C.instanceMatrix),te==="instanceColor"&&C.instanceColor&&(ae=C.instanceColor)),$===void 0||$.attribute!==ae||ae&&$.data!==ae.data)return!0;W++}return c.attributesNum!==W||c.index!==H}function _(C,I,B,H){let X={},V=I.attributes,W=0,Y=B.getAttributes();for(let te in Y)if(Y[te].location>=0){let $=V[te];$===void 0&&(te==="instanceMatrix"&&C.instanceMatrix&&($=C.instanceMatrix),te==="instanceColor"&&C.instanceColor&&($=C.instanceColor));let ae={};ae.attribute=$,$&&$.data&&(ae.data=$.data),X[te]=ae,W++}c.attributes=X,c.attributesNum=W,c.index=H}function x(){let C=c.newAttributes;for(let I=0,B=C.length;I<B;I++)C[I]=0}function v(C){A(C,0)}function A(C,I){let B=c.newAttributes,H=c.enabledAttributes,X=c.attributeDivisors;B[C]=1,H[C]===0&&(s.enableVertexAttribArray(C),H[C]=1),X[C]!==I&&((n.isWebGL2?s:e.get("ANGLE_instanced_arrays"))[n.isWebGL2?"vertexAttribDivisor":"vertexAttribDivisorANGLE"](C,I),X[C]=I)}function w(){let C=c.newAttributes,I=c.enabledAttributes;for(let B=0,H=I.length;B<H;B++)I[B]!==C[B]&&(s.disableVertexAttribArray(B),I[B]=0)}function b(C,I,B,H,X,V,W){W===!0?s.vertexAttribIPointer(C,I,B,X,V):s.vertexAttribPointer(C,I,B,H,X,V)}function T(C,I,B,H){if(n.isWebGL2===!1&&(C.isInstancedMesh||H.isInstancedBufferGeometry)&&e.get("ANGLE_instanced_arrays")===null)return;x();let X=H.attributes,V=B.getAttributes(),W=I.defaultAttributeValues;for(let Y in V){let te=V[Y];if(te.location>=0){let G=X[Y];if(G===void 0&&(Y==="instanceMatrix"&&C.instanceMatrix&&(G=C.instanceMatrix),Y==="instanceColor"&&C.instanceColor&&(G=C.instanceColor)),G!==void 0){let $=G.normalized,ae=G.itemSize,ge=t.get(G);if(ge===void 0)continue;let ue=ge.buffer,oe=ge.type,ye=ge.bytesPerElement,de=n.isWebGL2===!0&&(oe===s.INT||oe===s.UNSIGNED_INT||G.gpuType===tu);if(G.isInterleavedBufferAttribute){let Ce=G.data,F=Ce.stride,re=G.offset;if(Ce.isInstancedInterleavedBuffer){for(let Q=0;Q<te.locationSize;Q++)A(te.location+Q,Ce.meshPerAttribute);C.isInstancedMesh!==!0&&H._maxInstanceCount===void 0&&(H._maxInstanceCount=Ce.meshPerAttribute*Ce.count)}else for(let Q=0;Q<te.locationSize;Q++)v(te.location+Q);s.bindBuffer(s.ARRAY_BUFFER,ue);for(let Q=0;Q<te.locationSize;Q++)b(te.location+Q,ae/te.locationSize,oe,$,F*ye,(re+ae/te.locationSize*Q)*ye,de)}else{if(G.isInstancedBufferAttribute){for(let Ce=0;Ce<te.locationSize;Ce++)A(te.location+Ce,G.meshPerAttribute);C.isInstancedMesh!==!0&&H._maxInstanceCount===void 0&&(H._maxInstanceCount=G.meshPerAttribute*G.count)}else for(let Ce=0;Ce<te.locationSize;Ce++)v(te.location+Ce);s.bindBuffer(s.ARRAY_BUFFER,ue);for(let Ce=0;Ce<te.locationSize;Ce++)b(te.location+Ce,ae/te.locationSize,oe,$,ae*ye,ae/te.locationSize*Ce*ye,de)}}else if(W!==void 0){let $=W[Y];if($!==void 0)switch($.length){case 2:s.vertexAttrib2fv(te.location,$);break;case 3:s.vertexAttrib3fv(te.location,$);break;case 4:s.vertexAttrib4fv(te.location,$);break;default:s.vertexAttrib1fv(te.location,$)}}}}w()}function M(){P();for(let C in o){let I=o[C];for(let B in I){let H=I[B];for(let X in H)g(H[X].object),delete H[X];delete I[B]}delete o[C]}}function S(C){if(o[C.id]===void 0)return;let I=o[C.id];for(let B in I){let H=I[B];for(let X in H)g(H[X].object),delete H[X];delete I[B]}delete o[C.id]}function N(C){for(let I in o){let B=o[I];if(B[C.id]===void 0)continue;let H=B[C.id];for(let X in H)g(H[X].object),delete H[X];delete B[C.id]}}function P(){R(),h=!0,c!==l&&(c=l,m(c.object))}function R(){l.geometry=null,l.program=null,l.wireframe=!1}return{setup:f,reset:P,resetDefaultState:R,dispose:M,releaseStatesOfGeometry:S,releaseStatesOfProgram:N,initAttributes:x,enableAttribute:v,disableUnusedAttributes:w}}function _0(s,e,t,n){let i=n.isWebGL2,r;function a(h){r=h}function o(h,f){s.drawArrays(r,h,f),t.update(f,r,1)}function l(h,f,p){if(p===0)return;let m,g;if(i)m=s,g="drawArraysInstanced";else if(m=e.get("ANGLE_instanced_arrays"),g="drawArraysInstancedANGLE",m===null){console.error("THREE.WebGLBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.");return}m[g](r,h,f,p),t.update(f,r,p)}function c(h,f,p){if(p===0)return;let m=e.get("WEBGL_multi_draw");if(m===null)for(let g=0;g<p;g++)this.render(h[g],f[g]);else{m.multiDrawArraysWEBGL(r,h,0,f,0,p);let g=0;for(let y=0;y<p;y++)g+=f[y];t.update(g,r,1)}}this.setMode=a,this.render=o,this.renderInstances=l,this.renderMultiDraw=c}function x0(s,e,t){let n;function i(){if(n!==void 0)return n;if(e.has("EXT_texture_filter_anisotropic")===!0){let b=e.get("EXT_texture_filter_anisotropic");n=s.getParameter(b.MAX_TEXTURE_MAX_ANISOTROPY_EXT)}else n=0;return n}function r(b){if(b==="highp"){if(s.getShaderPrecisionFormat(s.VERTEX_SHADER,s.HIGH_FLOAT).precision>0&&s.getShaderPrecisionFormat(s.FRAGMENT_SHADER,s.HIGH_FLOAT).precision>0)return"highp";b="mediump"}return b==="mediump"&&s.getShaderPrecisionFormat(s.VERTEX_SHADER,s.MEDIUM_FLOAT).precision>0&&s.getShaderPrecisionFormat(s.FRAGMENT_SHADER,s.MEDIUM_FLOAT).precision>0?"mediump":"lowp"}let a=typeof WebGL2RenderingContext<"u"&&s.constructor.name==="WebGL2RenderingContext",o=t.precision!==void 0?t.precision:"highp",l=r(o);l!==o&&(console.warn("THREE.WebGLRenderer:",o,"not supported, using",l,"instead."),o=l);let c=a||e.has("WEBGL_draw_buffers"),h=t.logarithmicDepthBuffer===!0,f=s.getParameter(s.MAX_TEXTURE_IMAGE_UNITS),p=s.getParameter(s.MAX_VERTEX_TEXTURE_IMAGE_UNITS),m=s.getParameter(s.MAX_TEXTURE_SIZE),g=s.getParameter(s.MAX_CUBE_MAP_TEXTURE_SIZE),y=s.getParameter(s.MAX_VERTEX_ATTRIBS),u=s.getParameter(s.MAX_VERTEX_UNIFORM_VECTORS),d=s.getParameter(s.MAX_VARYING_VECTORS),_=s.getParameter(s.MAX_FRAGMENT_UNIFORM_VECTORS),x=p>0,v=a||e.has("OES_texture_float"),A=x&&v,w=a?s.getParameter(s.MAX_SAMPLES):0;return{isWebGL2:a,drawBuffers:c,getMaxAnisotropy:i,getMaxPrecision:r,precision:o,logarithmicDepthBuffer:h,maxTextures:f,maxVertexTextures:p,maxTextureSize:m,maxCubemapSize:g,maxAttributes:y,maxVertexUniforms:u,maxVaryings:d,maxFragmentUniforms:_,vertexTextures:x,floatFragmentTextures:v,floatVertexTextures:A,maxSamples:w}}function v0(s){let e=this,t=null,n=0,i=!1,r=!1,a=new tn,o=new Xe,l={value:null,needsUpdate:!1};this.uniform=l,this.numPlanes=0,this.numIntersection=0,this.init=function(f,p){let m=f.length!==0||p||n!==0||i;return i=p,n=f.length,m},this.beginShadows=function(){r=!0,h(null)},this.endShadows=function(){r=!1},this.setGlobalState=function(f,p){t=h(f,p,0)},this.setState=function(f,p,m){let g=f.clippingPlanes,y=f.clipIntersection,u=f.clipShadows,d=s.get(f);if(!i||g===null||g.length===0||r&&!u)r?h(null):c();else{let _=r?0:n,x=_*4,v=d.clippingState||null;l.value=v,v=h(g,p,x,m);for(let A=0;A!==x;++A)v[A]=t[A];d.clippingState=v,this.numIntersection=y?this.numPlanes:0,this.numPlanes+=_}};function c(){l.value!==t&&(l.value=t,l.needsUpdate=n>0),e.numPlanes=n,e.numIntersection=0}function h(f,p,m,g){let y=f!==null?f.length:0,u=null;if(y!==0){if(u=l.value,g!==!0||u===null){let d=m+y*4,_=p.matrixWorldInverse;o.getNormalMatrix(_),(u===null||u.length<d)&&(u=new Float32Array(d));for(let x=0,v=m;x!==y;++x,v+=4)a.copy(f[x]).applyMatrix4(_,o),a.normal.toArray(u,v),u[v+3]=a.constant}l.value=u,l.needsUpdate=!0}return e.numPlanes=y,e.numIntersection=0,u}}function M0(s){let e=new WeakMap;function t(a,o){return o===tr?a.mapping=Vn:o===nr&&(a.mapping=ni),a}function n(a){if(a&&a.isTexture){let o=a.mapping;if(o===tr||o===nr)if(e.has(a)){let l=e.get(a).texture;return t(l,a.mapping)}else{let l=a.image;if(l&&l.height>0){let c=new to(l.height/2);return c.fromEquirectangularTexture(s,a),e.set(a,c),a.addEventListener("dispose",i),t(c.texture,a.mapping)}else return null}}return a}function i(a){let o=a.target;o.removeEventListener("dispose",i);let l=e.get(o);l!==void 0&&(e.delete(o),l.dispose())}function r(){e=new WeakMap}return{get:n,dispose:r}}var Es=class extends Ss{constructor(e=-1,t=1,n=1,i=-1,r=.1,a=2e3){super(),this.isOrthographicCamera=!0,this.type="OrthographicCamera",this.zoom=1,this.view=null,this.left=e,this.right=t,this.top=n,this.bottom=i,this.near=r,this.far=a,this.updateProjectionMatrix()}copy(e,t){return super.copy(e,t),this.left=e.left,this.right=e.right,this.top=e.top,this.bottom=e.bottom,this.near=e.near,this.far=e.far,this.zoom=e.zoom,this.view=e.view===null?null:Object.assign({},e.view),this}setViewOffset(e,t,n,i,r,a){this.view===null&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=e,this.view.fullHeight=t,this.view.offsetX=n,this.view.offsetY=i,this.view.width=r,this.view.height=a,this.updateProjectionMatrix()}clearViewOffset(){this.view!==null&&(this.view.enabled=!1),this.updateProjectionMatrix()}updateProjectionMatrix(){let e=(this.right-this.left)/(2*this.zoom),t=(this.top-this.bottom)/(2*this.zoom),n=(this.right+this.left)/2,i=(this.top+this.bottom)/2,r=n-e,a=n+e,o=i+t,l=i-t;if(this.view!==null&&this.view.enabled){let c=(this.right-this.left)/this.view.fullWidth/this.zoom,h=(this.top-this.bottom)/this.view.fullHeight/this.zoom;r+=c*this.view.offsetX,a=r+c*this.view.width,o-=h*this.view.offsetY,l=o-h*this.view.height}this.projectionMatrix.makeOrthographic(r,a,o,l,this.near,this.far,this.coordinateSystem),this.projectionMatrixInverse.copy(this.projectionMatrix).invert()}toJSON(e){let t=super.toJSON(e);return t.object.zoom=this.zoom,t.object.left=this.left,t.object.right=this.right,t.object.top=this.top,t.object.bottom=this.bottom,t.object.near=this.near,t.object.far=this.far,this.view!==null&&(t.object.view=Object.assign({},this.view)),t}},ds=4,hd=[.125,.215,.35,.446,.526,.582],wi=20,Bl=new Es,ud=new Se,zl=null,kl=0,Vl=0,Ei=(1+Math.sqrt(5))/2,ss=1/Ei,dd=[new U(1,1,1),new U(-1,1,1),new U(1,1,-1),new U(-1,1,-1),new U(0,Ei,ss),new U(0,Ei,-ss),new U(ss,0,Ei),new U(-ss,0,Ei),new U(Ei,ss,0),new U(-Ei,ss,0)],xr=class{constructor(e){this._renderer=e,this._pingPongRenderTarget=null,this._lodMax=0,this._cubeSize=0,this._lodPlanes=[],this._sizeLods=[],this._sigmas=[],this._blurMaterial=null,this._cubemapMaterial=null,this._equirectMaterial=null,this._compileMaterial(this._blurMaterial)}fromScene(e,t=0,n=.1,i=100){zl=this._renderer.getRenderTarget(),kl=this._renderer.getActiveCubeFace(),Vl=this._renderer.getActiveMipmapLevel(),this._setSize(256);let r=this._allocateTargets();return r.depthBuffer=!0,this._sceneToCubeUV(e,n,i,r),t>0&&this._blur(r,0,0,t),this._applyPMREM(r),this._cleanup(r),r}fromEquirectangular(e,t=null){return this._fromTexture(e,t)}fromCubemap(e,t=null){return this._fromTexture(e,t)}compileCubemapShader(){this._cubemapMaterial===null&&(this._cubemapMaterial=md(),this._compileMaterial(this._cubemapMaterial))}compileEquirectangularShader(){this._equirectMaterial===null&&(this._equirectMaterial=pd(),this._compileMaterial(this._equirectMaterial))}dispose(){this._dispose(),this._cubemapMaterial!==null&&this._cubemapMaterial.dispose(),this._equirectMaterial!==null&&this._equirectMaterial.dispose()}_setSize(e){this._lodMax=Math.floor(Math.log2(e)),this._cubeSize=Math.pow(2,this._lodMax)}_dispose(){this._blurMaterial!==null&&this._blurMaterial.dispose(),this._pingPongRenderTarget!==null&&this._pingPongRenderTarget.dispose();for(let e=0;e<this._lodPlanes.length;e++)this._lodPlanes[e].dispose()}_cleanup(e){this._renderer.setRenderTarget(zl,kl,Vl),e.scissorTest=!1,ya(e,0,0,e.width,e.height)}_fromTexture(e,t){e.mapping===Vn||e.mapping===ni?this._setSize(e.image.length===0?16:e.image[0].width||e.image[0].image.width):this._setSize(e.image.width/4),zl=this._renderer.getRenderTarget(),kl=this._renderer.getActiveCubeFace(),Vl=this._renderer.getActiveMipmapLevel();let n=t||this._allocateTargets();return this._textureToCubeUV(e,n),this._applyPMREM(n),this._cleanup(n),n}_allocateTargets(){let e=3*Math.max(this._cubeSize,112),t=4*this._cubeSize,n={magFilter:yt,minFilter:yt,generateMipmaps:!1,type:ys,format:Ft,colorSpace:yn,depthBuffer:!1},i=fd(e,t,n);if(this._pingPongRenderTarget===null||this._pingPongRenderTarget.width!==e||this._pingPongRenderTarget.height!==t){this._pingPongRenderTarget!==null&&this._dispose(),this._pingPongRenderTarget=fd(e,t,n);let{_lodMax:r}=this;({sizeLods:this._sizeLods,lodPlanes:this._lodPlanes,sigmas:this._sigmas}=b0(r)),this._blurMaterial=S0(r,e,t)}return i}_compileMaterial(e){let t=new xt(this._lodPlanes[0],e);this._renderer.compile(t,Bl)}_sceneToCubeUV(e,t,n,i){let o=new _t(90,1,t,n),l=[1,-1,1,1,1,1],c=[1,1,1,-1,-1,-1],h=this._renderer,f=h.autoClear,p=h.toneMapping;h.getClearColor(ud),h.toneMapping=Fn,h.autoClear=!1;let m=new xn({name:"PMREM.Background",side:Vt,depthWrite:!1,depthTest:!1}),g=new xt(new Ii,m),y=!1,u=e.background;u?u.isColor&&(m.color.copy(u),e.background=null,y=!0):(m.color.copy(ud),y=!0);for(let d=0;d<6;d++){let _=d%3;_===0?(o.up.set(0,l[d],0),o.lookAt(c[d],0,0)):_===1?(o.up.set(0,0,l[d]),o.lookAt(0,c[d],0)):(o.up.set(0,l[d],0),o.lookAt(0,0,c[d]));let x=this._cubeSize;ya(i,_*x,d>2?x:0,x,x),h.setRenderTarget(i),y&&h.render(g,o),h.render(e,o)}g.geometry.dispose(),g.material.dispose(),h.toneMapping=p,h.autoClear=f,e.background=u}_textureToCubeUV(e,t){let n=this._renderer,i=e.mapping===Vn||e.mapping===ni;i?(this._cubemapMaterial===null&&(this._cubemapMaterial=md()),this._cubemapMaterial.uniforms.flipEnvMap.value=e.isRenderTargetTexture===!1?-1:1):this._equirectMaterial===null&&(this._equirectMaterial=pd());let r=i?this._cubemapMaterial:this._equirectMaterial,a=new xt(this._lodPlanes[0],r),o=r.uniforms;o.envMap.value=e;let l=this._cubeSize;ya(t,0,0,3*l,2*l),n.setRenderTarget(t),n.render(a,Bl)}_applyPMREM(e){let t=this._renderer,n=t.autoClear;t.autoClear=!1;for(let i=1;i<this._lodPlanes.length;i++){let r=Math.sqrt(this._sigmas[i]*this._sigmas[i]-this._sigmas[i-1]*this._sigmas[i-1]),a=dd[(i-1)%dd.length];this._blur(e,i-1,i,r,a)}t.autoClear=n}_blur(e,t,n,i,r){let a=this._pingPongRenderTarget;this._halfBlur(e,a,t,n,i,"latitudinal",r),this._halfBlur(a,e,n,n,i,"longitudinal",r)}_halfBlur(e,t,n,i,r,a,o){let l=this._renderer,c=this._blurMaterial;a!=="latitudinal"&&a!=="longitudinal"&&console.error("blur direction must be either latitudinal or longitudinal!");let h=3,f=new xt(this._lodPlanes[i],c),p=c.uniforms,m=this._sizeLods[n]-1,g=isFinite(r)?Math.PI/(2*m):2*Math.PI/(2*wi-1),y=r/g,u=isFinite(r)?1+Math.floor(h*y):wi;u>wi&&console.warn(`sigmaRadians, ${r}, is too large and will clip, as it requested ${u} samples when the maximum is set to ${wi}`);let d=[],_=0;for(let b=0;b<wi;++b){let T=b/y,M=Math.exp(-T*T/2);d.push(M),b===0?_+=M:b<u&&(_+=2*M)}for(let b=0;b<d.length;b++)d[b]=d[b]/_;p.envMap.value=e.texture,p.samples.value=u,p.weights.value=d,p.latitudinal.value=a==="latitudinal",o&&(p.poleAxis.value=o);let{_lodMax:x}=this;p.dTheta.value=g,p.mipInt.value=x-n;let v=this._sizeLods[i],A=3*v*(i>x-ds?i-x+ds:0),w=4*(this._cubeSize-v);ya(t,A,w,3*v,2*v),l.setRenderTarget(t),l.render(f,Bl)}};function b0(s){let e=[],t=[],n=[],i=s,r=s-ds+1+hd.length;for(let a=0;a<r;a++){let o=Math.pow(2,i);t.push(o);let l=1/o;a>s-ds?l=hd[a-s+ds-1]:a===0&&(l=0),n.push(l);let c=1/(o-2),h=-c,f=1+c,p=[h,h,f,h,f,f,h,h,f,f,h,f],m=6,g=6,y=3,u=2,d=1,_=new Float32Array(y*g*m),x=new Float32Array(u*g*m),v=new Float32Array(d*g*m);for(let w=0;w<m;w++){let b=w%3*2/3-1,T=w>2?0:-1,M=[b,T,0,b+2/3,T,0,b+2/3,T+1,0,b,T,0,b+2/3,T+1,0,b,T+1,0];_.set(M,y*g*w),x.set(p,u*g*w);let S=[w,w,w,w,w,w];v.set(S,d*g*w)}let A=new Ye;A.setAttribute("position",new et(_,y)),A.setAttribute("uv",new et(x,u)),A.setAttribute("faceIndex",new et(v,d)),e.push(A),i>ds&&i--}return{lodPlanes:e,sizeLods:t,sigmas:n}}function fd(s,e,t){let n=new Ht(s,e,t);return n.texture.mapping=Ds,n.texture.name="PMREM.cubeUv",n.scissorTest=!0,n}function ya(s,e,t,n,i){s.viewport.set(e,t,n,i),s.scissor.set(e,t,n,i)}function S0(s,e,t){let n=new Float32Array(wi),i=new U(0,1,0);return new nn({name:"SphericalGaussianBlur",defines:{n:wi,CUBEUV_TEXEL_WIDTH:1/e,CUBEUV_TEXEL_HEIGHT:1/t,CUBEUV_MAX_MIP:`${s}.0`},uniforms:{envMap:{value:null},samples:{value:1},weights:{value:n},latitudinal:{value:!1},dTheta:{value:0},mipInt:{value:0},poleAxis:{value:i}},vertexShader:du(),fragmentShader:`

			precision mediump float;
			precision mediump int;

			varying vec3 vOutputDirection;

			uniform sampler2D envMap;
			uniform int samples;
			uniform float weights[ n ];
			uniform bool latitudinal;
			uniform float dTheta;
			uniform float mipInt;
			uniform vec3 poleAxis;

			#define ENVMAP_TYPE_CUBE_UV
			#include <cube_uv_reflection_fragment>

			vec3 getSample( float theta, vec3 axis ) {

				float cosTheta = cos( theta );
				// Rodrigues' axis-angle rotation
				vec3 sampleDirection = vOutputDirection * cosTheta
					+ cross( axis, vOutputDirection ) * sin( theta )
					+ axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta );

				return bilinearCubeUV( envMap, sampleDirection, mipInt );

			}

			void main() {

				vec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection );

				if ( all( equal( axis, vec3( 0.0 ) ) ) ) {

					axis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x );

				}

				axis = normalize( axis );

				gl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );
				gl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis );

				for ( int i = 1; i < n; i++ ) {

					if ( i >= samples ) {

						break;

					}

					float theta = dTheta * float( i );
					gl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis );
					gl_FragColor.rgb += weights[ i ] * getSample( theta, axis );

				}

			}
		`,blending:On,depthTest:!1,depthWrite:!1})}function pd(){return new nn({name:"EquirectangularToCubeUV",uniforms:{envMap:{value:null}},vertexShader:du(),fragmentShader:`

			precision mediump float;
			precision mediump int;

			varying vec3 vOutputDirection;

			uniform sampler2D envMap;

			#include <common>

			void main() {

				vec3 outputDirection = normalize( vOutputDirection );
				vec2 uv = equirectUv( outputDirection );

				gl_FragColor = vec4( texture2D ( envMap, uv ).rgb, 1.0 );

			}
		`,blending:On,depthTest:!1,depthWrite:!1})}function md(){return new nn({name:"CubemapToCubeUV",uniforms:{envMap:{value:null},flipEnvMap:{value:-1}},vertexShader:du(),fragmentShader:`

			precision mediump float;
			precision mediump int;

			uniform float flipEnvMap;

			varying vec3 vOutputDirection;

			uniform samplerCube envMap;

			void main() {

				gl_FragColor = textureCube( envMap, vec3( flipEnvMap * vOutputDirection.x, vOutputDirection.yz ) );

			}
		`,blending:On,depthTest:!1,depthWrite:!1})}function du(){return`

		precision mediump float;
		precision mediump int;

		attribute float faceIndex;

		varying vec3 vOutputDirection;

		// RH coordinate system; PMREM face-indexing convention
		vec3 getDirection( vec2 uv, float face ) {

			uv = 2.0 * uv - 1.0;

			vec3 direction = vec3( uv, 1.0 );

			if ( face == 0.0 ) {

				direction = direction.zyx; // ( 1, v, u ) pos x

			} else if ( face == 1.0 ) {

				direction = direction.xzy;
				direction.xz *= -1.0; // ( -u, 1, -v ) pos y

			} else if ( face == 2.0 ) {

				direction.x *= -1.0; // ( -u, v, 1 ) pos z

			} else if ( face == 3.0 ) {

				direction = direction.zyx;
				direction.xz *= -1.0; // ( -1, v, -u ) neg x

			} else if ( face == 4.0 ) {

				direction = direction.xzy;
				direction.xy *= -1.0; // ( -u, -1, v ) neg y

			} else if ( face == 5.0 ) {

				direction.z *= -1.0; // ( u, v, -1 ) neg z

			}

			return direction;

		}

		void main() {

			vOutputDirection = getDirection( uv, faceIndex );
			gl_Position = vec4( position, 1.0 );

		}
	`}function E0(s){let e=new WeakMap,t=null;function n(o){if(o&&o.isTexture){let l=o.mapping,c=l===tr||l===nr,h=l===Vn||l===ni;if(c||h)if(o.isRenderTargetTexture&&o.needsPMREMUpdate===!0){o.needsPMREMUpdate=!1;let f=e.get(o);return t===null&&(t=new xr(s)),f=c?t.fromEquirectangular(o,f):t.fromCubemap(o,f),e.set(o,f),f.texture}else{if(e.has(o))return e.get(o).texture;{let f=o.image;if(c&&f&&f.height>0||h&&f&&i(f)){t===null&&(t=new xr(s));let p=c?t.fromEquirectangular(o):t.fromCubemap(o);return e.set(o,p),o.addEventListener("dispose",r),p.texture}else return null}}}return o}function i(o){let l=0,c=6;for(let h=0;h<c;h++)o[h]!==void 0&&l++;return l===c}function r(o){let l=o.target;l.removeEventListener("dispose",r);let c=e.get(l);c!==void 0&&(e.delete(l),c.dispose())}function a(){e=new WeakMap,t!==null&&(t.dispose(),t=null)}return{get:n,dispose:a}}function w0(s){let e={};function t(n){if(e[n]!==void 0)return e[n];let i;switch(n){case"WEBGL_depth_texture":i=s.getExtension("WEBGL_depth_texture")||s.getExtension("MOZ_WEBGL_depth_texture")||s.getExtension("WEBKIT_WEBGL_depth_texture");break;case"EXT_texture_filter_anisotropic":i=s.getExtension("EXT_texture_filter_anisotropic")||s.getExtension("MOZ_EXT_texture_filter_anisotropic")||s.getExtension("WEBKIT_EXT_texture_filter_anisotropic");break;case"WEBGL_compressed_texture_s3tc":i=s.getExtension("WEBGL_compressed_texture_s3tc")||s.getExtension("MOZ_WEBGL_compressed_texture_s3tc")||s.getExtension("WEBKIT_WEBGL_compressed_texture_s3tc");break;case"WEBGL_compressed_texture_pvrtc":i=s.getExtension("WEBGL_compressed_texture_pvrtc")||s.getExtension("WEBKIT_WEBGL_compressed_texture_pvrtc");break;default:i=s.getExtension(n)}return e[n]=i,i}return{has:function(n){return t(n)!==null},init:function(n){n.isWebGL2?(t("EXT_color_buffer_float"),t("WEBGL_clip_cull_distance")):(t("WEBGL_depth_texture"),t("OES_texture_float"),t("OES_texture_half_float"),t("OES_texture_half_float_linear"),t("OES_standard_derivatives"),t("OES_element_index_uint"),t("OES_vertex_array_object"),t("ANGLE_instanced_arrays")),t("OES_texture_float_linear"),t("EXT_color_buffer_half_float"),t("WEBGL_multisampled_render_to_texture")},get:function(n){let i=t(n);return i===null&&console.warn("THREE.WebGLRenderer: "+n+" extension not supported."),i}}}function T0(s,e,t,n){let i={},r=new WeakMap;function a(f){let p=f.target;p.index!==null&&e.remove(p.index);for(let g in p.attributes)e.remove(p.attributes[g]);for(let g in p.morphAttributes){let y=p.morphAttributes[g];for(let u=0,d=y.length;u<d;u++)e.remove(y[u])}p.removeEventListener("dispose",a),delete i[p.id];let m=r.get(p);m&&(e.remove(m),r.delete(p)),n.releaseStatesOfGeometry(p),p.isInstancedBufferGeometry===!0&&delete p._maxInstanceCount,t.memory.geometries--}function o(f,p){return i[p.id]===!0||(p.addEventListener("dispose",a),i[p.id]=!0,t.memory.geometries++),p}function l(f){let p=f.attributes;for(let g in p)e.update(p[g],s.ARRAY_BUFFER);let m=f.morphAttributes;for(let g in m){let y=m[g];for(let u=0,d=y.length;u<d;u++)e.update(y[u],s.ARRAY_BUFFER)}}function c(f){let p=[],m=f.index,g=f.attributes.position,y=0;if(m!==null){let _=m.array;y=m.version;for(let x=0,v=_.length;x<v;x+=3){let A=_[x+0],w=_[x+1],b=_[x+2];p.push(A,w,w,b,b,A)}}else if(g!==void 0){let _=g.array;y=g.version;for(let x=0,v=_.length/3-1;x<v;x+=3){let A=x+0,w=x+1,b=x+2;p.push(A,w,w,b,b,A)}}else return;let u=new(wp(p)?yr:gr)(p,1);u.version=y;let d=r.get(f);d&&e.remove(d),r.set(f,u)}function h(f){let p=r.get(f);if(p){let m=f.index;m!==null&&p.version<m.version&&c(f)}else c(f);return r.get(f)}return{get:o,update:l,getWireframeAttribute:h}}function A0(s,e,t,n){let i=n.isWebGL2,r;function a(m){r=m}let o,l;function c(m){o=m.type,l=m.bytesPerElement}function h(m,g){s.drawElements(r,g,o,m*l),t.update(g,r,1)}function f(m,g,y){if(y===0)return;let u,d;if(i)u=s,d="drawElementsInstanced";else if(u=e.get("ANGLE_instanced_arrays"),d="drawElementsInstancedANGLE",u===null){console.error("THREE.WebGLIndexedBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.");return}u[d](r,g,o,m*l,y),t.update(g,r,y)}function p(m,g,y){if(y===0)return;let u=e.get("WEBGL_multi_draw");if(u===null)for(let d=0;d<y;d++)this.render(m[d]/l,g[d]);else{u.multiDrawElementsWEBGL(r,g,0,o,m,0,y);let d=0;for(let _=0;_<y;_++)d+=g[_];t.update(d,r,1)}}this.setMode=a,this.setIndex=c,this.render=h,this.renderInstances=f,this.renderMultiDraw=p}function C0(s){let e={geometries:0,textures:0},t={frame:0,calls:0,triangles:0,points:0,lines:0};function n(r,a,o){switch(t.calls++,a){case s.TRIANGLES:t.triangles+=o*(r/3);break;case s.LINES:t.lines+=o*(r/2);break;case s.LINE_STRIP:t.lines+=o*(r-1);break;case s.LINE_LOOP:t.lines+=o*r;break;case s.POINTS:t.points+=o*r;break;default:console.error("THREE.WebGLInfo: Unknown draw mode:",a);break}}function i(){t.calls=0,t.triangles=0,t.points=0,t.lines=0}return{memory:e,render:t,programs:null,autoReset:!0,reset:i,update:n}}function R0(s,e){return s[0]-e[0]}function P0(s,e){return Math.abs(e[1])-Math.abs(s[1])}function L0(s,e,t){let n={},i=new Float32Array(8),r=new WeakMap,a=new st,o=[];for(let c=0;c<8;c++)o[c]=[c,0];function l(c,h,f){let p=c.morphTargetInfluences;if(e.isWebGL2===!0){let m=h.morphAttributes.position||h.morphAttributes.normal||h.morphAttributes.color,g=m!==void 0?m.length:0,y=r.get(h);if(y===void 0||y.count!==g){let C=function(){P.dispose(),r.delete(h),h.removeEventListener("dispose",C)};y!==void 0&&y.texture.dispose();let _=h.morphAttributes.position!==void 0,x=h.morphAttributes.normal!==void 0,v=h.morphAttributes.color!==void 0,A=h.morphAttributes.position||[],w=h.morphAttributes.normal||[],b=h.morphAttributes.color||[],T=0;_===!0&&(T=1),x===!0&&(T=2),v===!0&&(T=3);let M=h.attributes.position.count*T,S=1;M>e.maxTextureSize&&(S=Math.ceil(M/e.maxTextureSize),M=e.maxTextureSize);let N=new Float32Array(M*S*4*g),P=new vs(N,M,S,g);P.type=cn,P.needsUpdate=!0;let R=T*4;for(let I=0;I<g;I++){let B=A[I],H=w[I],X=b[I],V=M*S*4*I;for(let W=0;W<B.count;W++){let Y=W*R;_===!0&&(a.fromBufferAttribute(B,W),N[V+Y+0]=a.x,N[V+Y+1]=a.y,N[V+Y+2]=a.z,N[V+Y+3]=0),x===!0&&(a.fromBufferAttribute(H,W),N[V+Y+4]=a.x,N[V+Y+5]=a.y,N[V+Y+6]=a.z,N[V+Y+7]=0),v===!0&&(a.fromBufferAttribute(X,W),N[V+Y+8]=a.x,N[V+Y+9]=a.y,N[V+Y+10]=a.z,N[V+Y+11]=X.itemSize===4?a.w:1)}}y={count:g,texture:P,size:new ne(M,S)},r.set(h,y),h.addEventListener("dispose",C)}let u=0;for(let _=0;_<p.length;_++)u+=p[_];let d=h.morphTargetsRelative?1:1-u;f.getUniforms().setValue(s,"morphTargetBaseInfluence",d),f.getUniforms().setValue(s,"morphTargetInfluences",p),f.getUniforms().setValue(s,"morphTargetsTexture",y.texture,t),f.getUniforms().setValue(s,"morphTargetsTextureSize",y.size)}else{let m=p===void 0?0:p.length,g=n[h.id];if(g===void 0||g.length!==m){g=[];for(let x=0;x<m;x++)g[x]=[x,0];n[h.id]=g}for(let x=0;x<m;x++){let v=g[x];v[0]=x,v[1]=p[x]}g.sort(P0);for(let x=0;x<8;x++)x<m&&g[x][1]?(o[x][0]=g[x][0],o[x][1]=g[x][1]):(o[x][0]=Number.MAX_SAFE_INTEGER,o[x][1]=0);o.sort(R0);let y=h.morphAttributes.position,u=h.morphAttributes.normal,d=0;for(let x=0;x<8;x++){let v=o[x],A=v[0],w=v[1];A!==Number.MAX_SAFE_INTEGER&&w?(y&&h.getAttribute("morphTarget"+x)!==y[A]&&h.setAttribute("morphTarget"+x,y[A]),u&&h.getAttribute("morphNormal"+x)!==u[A]&&h.setAttribute("morphNormal"+x,u[A]),i[x]=w,d+=w):(y&&h.hasAttribute("morphTarget"+x)===!0&&h.deleteAttribute("morphTarget"+x),u&&h.hasAttribute("morphNormal"+x)===!0&&h.deleteAttribute("morphNormal"+x),i[x]=0)}let _=h.morphTargetsRelative?1:1-d;f.getUniforms().setValue(s,"morphTargetBaseInfluence",_),f.getUniforms().setValue(s,"morphTargetInfluences",i)}}return{update:l}}function I0(s,e,t,n){let i=new WeakMap;function r(l){let c=n.render.frame,h=l.geometry,f=e.get(l,h);if(i.get(f)!==c&&(e.update(f),i.set(f,c)),l.isInstancedMesh&&(l.hasEventListener("dispose",o)===!1&&l.addEventListener("dispose",o),i.get(l)!==c&&(t.update(l.instanceMatrix,s.ARRAY_BUFFER),l.instanceColor!==null&&t.update(l.instanceColor,s.ARRAY_BUFFER),i.set(l,c))),l.isSkinnedMesh){let p=l.skeleton;i.get(p)!==c&&(p.update(),i.set(p,c))}return f}function a(){i=new WeakMap}function o(l){let c=l.target;c.removeEventListener("dispose",o),t.remove(c.instanceMatrix),c.instanceColor!==null&&t.remove(c.instanceColor)}return{update:r,dispose:a}}var vr=class extends wt{constructor(e,t,n,i,r,a,o,l,c,h){if(h=h!==void 0?h:ei,h!==ei&&h!==Li)throw new Error("DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat");n===void 0&&h===ei&&(n=In),n===void 0&&h===Li&&(n=Qn),super(null,i,r,a,o,l,h,n,c),this.isDepthTexture=!0,this.image={width:e,height:t},this.magFilter=o!==void 0?o:mt,this.minFilter=l!==void 0?l:mt,this.flipY=!1,this.generateMipmaps=!1,this.compareFunction=null}copy(e){return super.copy(e),this.compareFunction=e.compareFunction,this}toJSON(e){let t=super.toJSON(e);return this.compareFunction!==null&&(t.compareFunction=this.compareFunction),t}},Lp=new wt,Ip=new vr(1,1);Ip.compareFunction=hu;var Dp=new vs,Np=new pr,Up=new Di,gd=[],yd=[],_d=new Float32Array(16),xd=new Float32Array(9),vd=new Float32Array(4);function Ns(s,e,t){let n=s[0];if(n<=0||n>0)return s;let i=e*t,r=gd[i];if(r===void 0&&(r=new Float32Array(i),gd[i]=r),e!==0){n.toArray(r,0);for(let a=1,o=0;a!==e;++a)o+=t,s[a].toArray(r,o)}return r}function Tt(s,e){if(s.length!==e.length)return!1;for(let t=0,n=s.length;t<n;t++)if(s[t]!==e[t])return!1;return!0}function At(s,e){for(let t=0,n=e.length;t<n;t++)s[t]=e[t]}function hl(s,e){let t=yd[e];t===void 0&&(t=new Int32Array(e),yd[e]=t);for(let n=0;n!==e;++n)t[n]=s.allocateTextureUnit();return t}function D0(s,e){let t=this.cache;t[0]!==e&&(s.uniform1f(this.addr,e),t[0]=e)}function N0(s,e){let t=this.cache;if(e.x!==void 0)(t[0]!==e.x||t[1]!==e.y)&&(s.uniform2f(this.addr,e.x,e.y),t[0]=e.x,t[1]=e.y);else{if(Tt(t,e))return;s.uniform2fv(this.addr,e),At(t,e)}}function U0(s,e){let t=this.cache;if(e.x!==void 0)(t[0]!==e.x||t[1]!==e.y||t[2]!==e.z)&&(s.uniform3f(this.addr,e.x,e.y,e.z),t[0]=e.x,t[1]=e.y,t[2]=e.z);else if(e.r!==void 0)(t[0]!==e.r||t[1]!==e.g||t[2]!==e.b)&&(s.uniform3f(this.addr,e.r,e.g,e.b),t[0]=e.r,t[1]=e.g,t[2]=e.b);else{if(Tt(t,e))return;s.uniform3fv(this.addr,e),At(t,e)}}function O0(s,e){let t=this.cache;if(e.x!==void 0)(t[0]!==e.x||t[1]!==e.y||t[2]!==e.z||t[3]!==e.w)&&(s.uniform4f(this.addr,e.x,e.y,e.z,e.w),t[0]=e.x,t[1]=e.y,t[2]=e.z,t[3]=e.w);else{if(Tt(t,e))return;s.uniform4fv(this.addr,e),At(t,e)}}function F0(s,e){let t=this.cache,n=e.elements;if(n===void 0){if(Tt(t,e))return;s.uniformMatrix2fv(this.addr,!1,e),At(t,e)}else{if(Tt(t,n))return;vd.set(n),s.uniformMatrix2fv(this.addr,!1,vd),At(t,n)}}function B0(s,e){let t=this.cache,n=e.elements;if(n===void 0){if(Tt(t,e))return;s.uniformMatrix3fv(this.addr,!1,e),At(t,e)}else{if(Tt(t,n))return;xd.set(n),s.uniformMatrix3fv(this.addr,!1,xd),At(t,n)}}function z0(s,e){let t=this.cache,n=e.elements;if(n===void 0){if(Tt(t,e))return;s.uniformMatrix4fv(this.addr,!1,e),At(t,e)}else{if(Tt(t,n))return;_d.set(n),s.uniformMatrix4fv(this.addr,!1,_d),At(t,n)}}function k0(s,e){let t=this.cache;t[0]!==e&&(s.uniform1i(this.addr,e),t[0]=e)}function V0(s,e){let t=this.cache;if(e.x!==void 0)(t[0]!==e.x||t[1]!==e.y)&&(s.uniform2i(this.addr,e.x,e.y),t[0]=e.x,t[1]=e.y);else{if(Tt(t,e))return;s.uniform2iv(this.addr,e),At(t,e)}}function H0(s,e){let t=this.cache;if(e.x!==void 0)(t[0]!==e.x||t[1]!==e.y||t[2]!==e.z)&&(s.uniform3i(this.addr,e.x,e.y,e.z),t[0]=e.x,t[1]=e.y,t[2]=e.z);else{if(Tt(t,e))return;s.uniform3iv(this.addr,e),At(t,e)}}function G0(s,e){let t=this.cache;if(e.x!==void 0)(t[0]!==e.x||t[1]!==e.y||t[2]!==e.z||t[3]!==e.w)&&(s.uniform4i(this.addr,e.x,e.y,e.z,e.w),t[0]=e.x,t[1]=e.y,t[2]=e.z,t[3]=e.w);else{if(Tt(t,e))return;s.uniform4iv(this.addr,e),At(t,e)}}function W0(s,e){let t=this.cache;t[0]!==e&&(s.uniform1ui(this.addr,e),t[0]=e)}function X0(s,e){let t=this.cache;if(e.x!==void 0)(t[0]!==e.x||t[1]!==e.y)&&(s.uniform2ui(this.addr,e.x,e.y),t[0]=e.x,t[1]=e.y);else{if(Tt(t,e))return;s.uniform2uiv(this.addr,e),At(t,e)}}function Y0(s,e){let t=this.cache;if(e.x!==void 0)(t[0]!==e.x||t[1]!==e.y||t[2]!==e.z)&&(s.uniform3ui(this.addr,e.x,e.y,e.z),t[0]=e.x,t[1]=e.y,t[2]=e.z);else{if(Tt(t,e))return;s.uniform3uiv(this.addr,e),At(t,e)}}function q0(s,e){let t=this.cache;if(e.x!==void 0)(t[0]!==e.x||t[1]!==e.y||t[2]!==e.z||t[3]!==e.w)&&(s.uniform4ui(this.addr,e.x,e.y,e.z,e.w),t[0]=e.x,t[1]=e.y,t[2]=e.z,t[3]=e.w);else{if(Tt(t,e))return;s.uniform4uiv(this.addr,e),At(t,e)}}function Z0(s,e,t){let n=this.cache,i=t.allocateTextureUnit();n[0]!==i&&(s.uniform1i(this.addr,i),n[0]=i);let r=this.type===s.SAMPLER_2D_SHADOW?Ip:Lp;t.setTexture2D(e||r,i)}function J0(s,e,t){let n=this.cache,i=t.allocateTextureUnit();n[0]!==i&&(s.uniform1i(this.addr,i),n[0]=i),t.setTexture3D(e||Np,i)}function K0(s,e,t){let n=this.cache,i=t.allocateTextureUnit();n[0]!==i&&(s.uniform1i(this.addr,i),n[0]=i),t.setTextureCube(e||Up,i)}function $0(s,e,t){let n=this.cache,i=t.allocateTextureUnit();n[0]!==i&&(s.uniform1i(this.addr,i),n[0]=i),t.setTexture2DArray(e||Dp,i)}function j0(s){switch(s){case 5126:return D0;case 35664:return N0;case 35665:return U0;case 35666:return O0;case 35674:return F0;case 35675:return B0;case 35676:return z0;case 5124:case 35670:return k0;case 35667:case 35671:return V0;case 35668:case 35672:return H0;case 35669:case 35673:return G0;case 5125:return W0;case 36294:return X0;case 36295:return Y0;case 36296:return q0;case 35678:case 36198:case 36298:case 36306:case 35682:return Z0;case 35679:case 36299:case 36307:return J0;case 35680:case 36300:case 36308:case 36293:return K0;case 36289:case 36303:case 36311:case 36292:return $0}}function Q0(s,e){s.uniform1fv(this.addr,e)}function ex(s,e){let t=Ns(e,this.size,2);s.uniform2fv(this.addr,t)}function tx(s,e){let t=Ns(e,this.size,3);s.uniform3fv(this.addr,t)}function nx(s,e){let t=Ns(e,this.size,4);s.uniform4fv(this.addr,t)}function ix(s,e){let t=Ns(e,this.size,4);s.uniformMatrix2fv(this.addr,!1,t)}function sx(s,e){let t=Ns(e,this.size,9);s.uniformMatrix3fv(this.addr,!1,t)}function rx(s,e){let t=Ns(e,this.size,16);s.uniformMatrix4fv(this.addr,!1,t)}function ax(s,e){s.uniform1iv(this.addr,e)}function ox(s,e){s.uniform2iv(this.addr,e)}function lx(s,e){s.uniform3iv(this.addr,e)}function cx(s,e){s.uniform4iv(this.addr,e)}function hx(s,e){s.uniform1uiv(this.addr,e)}function ux(s,e){s.uniform2uiv(this.addr,e)}function dx(s,e){s.uniform3uiv(this.addr,e)}function fx(s,e){s.uniform4uiv(this.addr,e)}function px(s,e,t){let n=this.cache,i=e.length,r=hl(t,i);Tt(n,r)||(s.uniform1iv(this.addr,r),At(n,r));for(let a=0;a!==i;++a)t.setTexture2D(e[a]||Lp,r[a])}function mx(s,e,t){let n=this.cache,i=e.length,r=hl(t,i);Tt(n,r)||(s.uniform1iv(this.addr,r),At(n,r));for(let a=0;a!==i;++a)t.setTexture3D(e[a]||Np,r[a])}function gx(s,e,t){let n=this.cache,i=e.length,r=hl(t,i);Tt(n,r)||(s.uniform1iv(this.addr,r),At(n,r));for(let a=0;a!==i;++a)t.setTextureCube(e[a]||Up,r[a])}function yx(s,e,t){let n=this.cache,i=e.length,r=hl(t,i);Tt(n,r)||(s.uniform1iv(this.addr,r),At(n,r));for(let a=0;a!==i;++a)t.setTexture2DArray(e[a]||Dp,r[a])}function _x(s){switch(s){case 5126:return Q0;case 35664:return ex;case 35665:return tx;case 35666:return nx;case 35674:return ix;case 35675:return sx;case 35676:return rx;case 5124:case 35670:return ax;case 35667:case 35671:return ox;case 35668:case 35672:return lx;case 35669:case 35673:return cx;case 5125:return hx;case 36294:return ux;case 36295:return dx;case 36296:return fx;case 35678:case 36198:case 36298:case 36306:case 35682:return px;case 35679:case 36299:case 36307:return mx;case 35680:case 36300:case 36308:case 36293:return gx;case 36289:case 36303:case 36311:case 36292:return yx}}var Zc=class{constructor(e,t,n){this.id=e,this.addr=n,this.cache=[],this.type=t.type,this.setValue=j0(t.type)}},Jc=class{constructor(e,t,n){this.id=e,this.addr=n,this.cache=[],this.type=t.type,this.size=t.size,this.setValue=_x(t.type)}},Kc=class{constructor(e){this.id=e,this.seq=[],this.map={}}setValue(e,t,n){let i=this.seq;for(let r=0,a=i.length;r!==a;++r){let o=i[r];o.setValue(e,t[o.id],n)}}},Hl=/(\w+)(\])?(\[|\.)?/g;function Md(s,e){s.seq.push(e),s.map[e.id]=e}function xx(s,e,t){let n=s.name,i=n.length;for(Hl.lastIndex=0;;){let r=Hl.exec(n),a=Hl.lastIndex,o=r[1],l=r[2]==="]",c=r[3];if(l&&(o=o|0),c===void 0||c==="["&&a+2===i){Md(t,c===void 0?new Zc(o,s,e):new Jc(o,s,e));break}else{let f=t.map[o];f===void 0&&(f=new Kc(o),Md(t,f)),t=f}}}var gs=class{constructor(e,t){this.seq=[],this.map={};let n=e.getProgramParameter(t,e.ACTIVE_UNIFORMS);for(let i=0;i<n;++i){let r=e.getActiveUniform(t,i),a=e.getUniformLocation(t,r.name);xx(r,a,this)}}setValue(e,t,n,i){let r=this.map[t];r!==void 0&&r.setValue(e,n,i)}setOptional(e,t,n){let i=t[n];i!==void 0&&this.setValue(e,n,i)}static upload(e,t,n,i){for(let r=0,a=t.length;r!==a;++r){let o=t[r],l=n[o.id];l.needsUpdate!==!1&&o.setValue(e,l.value,i)}}static seqWithValue(e,t){let n=[];for(let i=0,r=e.length;i!==r;++i){let a=e[i];a.id in t&&n.push(a)}return n}};function bd(s,e,t){let n=s.createShader(e);return s.shaderSource(n,t),s.compileShader(n),n}var vx=37297,Mx=0;function bx(s,e){let t=s.split(`
`),n=[],i=Math.max(e-6,0),r=Math.min(e+6,t.length);for(let a=i;a<r;a++){let o=a+1;n.push(`${o===e?">":" "} ${o}: ${t[a]}`)}return n.join(`
`)}function Sx(s){let e=it.getPrimaries(it.workingColorSpace),t=it.getPrimaries(s),n;switch(e===t?n="":e===hr&&t===cr?n="LinearDisplayP3ToLinearSRGB":e===cr&&t===hr&&(n="LinearSRGBToLinearDisplayP3"),s){case yn:case Xr:return[n,"LinearTransferOETF"];case gt:case cl:return[n,"sRGBTransferOETF"];default:return console.warn("THREE.WebGLProgram: Unsupported color space:",s),[n,"LinearTransferOETF"]}}function Sd(s,e,t){let n=s.getShaderParameter(e,s.COMPILE_STATUS),i=s.getShaderInfoLog(e).trim();if(n&&i==="")return"";let r=/ERROR: 0:(\d+)/.exec(i);if(r){let a=parseInt(r[1]);return t.toUpperCase()+`

`+i+`

`+bx(s.getShaderSource(e),a)}else return i}function Ex(s,e){let t=Sx(e);return`vec4 ${s}( vec4 value ) { return ${t[0]}( ${t[1]}( value ) ); }`}function wx(s,e){let t;switch(e){case $f:t="Linear";break;case jf:t="Reinhard";break;case Qf:t="OptimizedCineon";break;case ep:t="ACESFilmic";break;case np:t="AgX";break;case tp:t="Custom";break;default:console.warn("THREE.WebGLProgram: Unsupported toneMapping:",e),t="Linear"}return"vec3 "+s+"( vec3 color ) { return "+t+"ToneMapping( color ); }"}function Tx(s){return[s.extensionDerivatives||s.envMapCubeUVHeight||s.bumpMap||s.normalMapTangentSpace||s.clearcoatNormalMap||s.flatShading||s.shaderID==="physical"?"#extension GL_OES_standard_derivatives : enable":"",(s.extensionFragDepth||s.logarithmicDepthBuffer)&&s.rendererExtensionFragDepth?"#extension GL_EXT_frag_depth : enable":"",s.extensionDrawBuffers&&s.rendererExtensionDrawBuffers?"#extension GL_EXT_draw_buffers : require":"",(s.extensionShaderTextureLOD||s.envMap||s.transmission)&&s.rendererExtensionShaderTextureLod?"#extension GL_EXT_shader_texture_lod : enable":""].filter(fs).join(`
`)}function Ax(s){return[s.extensionClipCullDistance?"#extension GL_ANGLE_clip_cull_distance : require":""].filter(fs).join(`
`)}function Cx(s){let e=[];for(let t in s){let n=s[t];n!==!1&&e.push("#define "+t+" "+n)}return e.join(`
`)}function Rx(s,e){let t={},n=s.getProgramParameter(e,s.ACTIVE_ATTRIBUTES);for(let i=0;i<n;i++){let r=s.getActiveAttrib(e,i),a=r.name,o=1;r.type===s.FLOAT_MAT2&&(o=2),r.type===s.FLOAT_MAT3&&(o=3),r.type===s.FLOAT_MAT4&&(o=4),t[a]={type:r.type,location:s.getAttribLocation(e,a),locationSize:o}}return t}function fs(s){return s!==""}function Ed(s,e){let t=e.numSpotLightShadows+e.numSpotLightMaps-e.numSpotLightShadowsWithMaps;return s.replace(/NUM_DIR_LIGHTS/g,e.numDirLights).replace(/NUM_SPOT_LIGHTS/g,e.numSpotLights).replace(/NUM_SPOT_LIGHT_MAPS/g,e.numSpotLightMaps).replace(/NUM_SPOT_LIGHT_COORDS/g,t).replace(/NUM_RECT_AREA_LIGHTS/g,e.numRectAreaLights).replace(/NUM_POINT_LIGHTS/g,e.numPointLights).replace(/NUM_HEMI_LIGHTS/g,e.numHemiLights).replace(/NUM_DIR_LIGHT_SHADOWS/g,e.numDirLightShadows).replace(/NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS/g,e.numSpotLightShadowsWithMaps).replace(/NUM_SPOT_LIGHT_SHADOWS/g,e.numSpotLightShadows).replace(/NUM_POINT_LIGHT_SHADOWS/g,e.numPointLightShadows)}function wd(s,e){return s.replace(/NUM_CLIPPING_PLANES/g,e.numClippingPlanes).replace(/UNION_CLIPPING_PLANES/g,e.numClippingPlanes-e.numClipIntersection)}var Px=/^[ \t]*#include +<([\w\d./]+)>/gm;function $c(s){return s.replace(Px,Ix)}var Lx=new Map([["encodings_fragment","colorspace_fragment"],["encodings_pars_fragment","colorspace_pars_fragment"],["output_fragment","opaque_fragment"]]);function Ix(s,e){let t=Ge[e];if(t===void 0){let n=Lx.get(e);if(n!==void 0)t=Ge[n],console.warn('THREE.WebGLRenderer: Shader chunk "%s" has been deprecated. Use "%s" instead.',e,n);else throw new Error("Can not resolve #include <"+e+">")}return $c(t)}var Dx=/#pragma unroll_loop_start\s+for\s*\(\s*int\s+i\s*=\s*(\d+)\s*;\s*i\s*<\s*(\d+)\s*;\s*i\s*\+\+\s*\)\s*{([\s\S]+?)}\s+#pragma unroll_loop_end/g;function Td(s){return s.replace(Dx,Nx)}function Nx(s,e,t,n){let i="";for(let r=parseInt(e);r<parseInt(t);r++)i+=n.replace(/\[\s*i\s*\]/g,"[ "+r+" ]").replace(/UNROLLED_LOOP_INDEX/g,r);return i}function Ad(s){let e="precision "+s.precision+` float;
precision `+s.precision+" int;";return s.precision==="highp"?e+=`
#define HIGH_PRECISION`:s.precision==="mediump"?e+=`
#define MEDIUM_PRECISION`:s.precision==="lowp"&&(e+=`
#define LOW_PRECISION`),e}function Ux(s){let e="SHADOWMAP_TYPE_BASIC";return s.shadowMapType===Qh?e="SHADOWMAP_TYPE_PCF":s.shadowMapType===wf?e="SHADOWMAP_TYPE_PCF_SOFT":s.shadowMapType===pn&&(e="SHADOWMAP_TYPE_VSM"),e}function Ox(s){let e="ENVMAP_TYPE_CUBE";if(s.envMap)switch(s.envMapMode){case Vn:case ni:e="ENVMAP_TYPE_CUBE";break;case Ds:e="ENVMAP_TYPE_CUBE_UV";break}return e}function Fx(s){let e="ENVMAP_MODE_REFLECTION";return s.envMap&&s.envMapMode===ni&&(e="ENVMAP_MODE_REFRACTION"),e}function Bx(s){let e="ENVMAP_BLENDING_NONE";if(s.envMap)switch(s.combine){case Wr:e="ENVMAP_BLENDING_MULTIPLY";break;case Jf:e="ENVMAP_BLENDING_MIX";break;case Kf:e="ENVMAP_BLENDING_ADD";break}return e}function zx(s){let e=s.envMapCubeUVHeight;if(e===null)return null;let t=Math.log2(e)-2,n=1/e;return{texelWidth:1/(3*Math.max(Math.pow(2,t),112)),texelHeight:n,maxMip:t}}function kx(s,e,t,n){let i=s.getContext(),r=t.defines,a=t.vertexShader,o=t.fragmentShader,l=Ux(t),c=Ox(t),h=Fx(t),f=Bx(t),p=zx(t),m=t.isWebGL2?"":Tx(t),g=Ax(t),y=Cx(r),u=i.createProgram(),d,_,x=t.glslVersion?"#version "+t.glslVersion+`
`:"";t.isRawShaderMaterial?(d=["#define SHADER_TYPE "+t.shaderType,"#define SHADER_NAME "+t.shaderName,y].filter(fs).join(`
`),d.length>0&&(d+=`
`),_=[m,"#define SHADER_TYPE "+t.shaderType,"#define SHADER_NAME "+t.shaderName,y].filter(fs).join(`
`),_.length>0&&(_+=`
`)):(d=[Ad(t),"#define SHADER_TYPE "+t.shaderType,"#define SHADER_NAME "+t.shaderName,y,t.extensionClipCullDistance?"#define USE_CLIP_DISTANCE":"",t.batching?"#define USE_BATCHING":"",t.instancing?"#define USE_INSTANCING":"",t.instancingColor?"#define USE_INSTANCING_COLOR":"",t.useFog&&t.fog?"#define USE_FOG":"",t.useFog&&t.fogExp2?"#define FOG_EXP2":"",t.map?"#define USE_MAP":"",t.envMap?"#define USE_ENVMAP":"",t.envMap?"#define "+h:"",t.lightMap?"#define USE_LIGHTMAP":"",t.aoMap?"#define USE_AOMAP":"",t.bumpMap?"#define USE_BUMPMAP":"",t.normalMap?"#define USE_NORMALMAP":"",t.normalMapObjectSpace?"#define USE_NORMALMAP_OBJECTSPACE":"",t.normalMapTangentSpace?"#define USE_NORMALMAP_TANGENTSPACE":"",t.displacementMap?"#define USE_DISPLACEMENTMAP":"",t.emissiveMap?"#define USE_EMISSIVEMAP":"",t.anisotropy?"#define USE_ANISOTROPY":"",t.anisotropyMap?"#define USE_ANISOTROPYMAP":"",t.clearcoatMap?"#define USE_CLEARCOATMAP":"",t.clearcoatRoughnessMap?"#define USE_CLEARCOAT_ROUGHNESSMAP":"",t.clearcoatNormalMap?"#define USE_CLEARCOAT_NORMALMAP":"",t.iridescenceMap?"#define USE_IRIDESCENCEMAP":"",t.iridescenceThicknessMap?"#define USE_IRIDESCENCE_THICKNESSMAP":"",t.specularMap?"#define USE_SPECULARMAP":"",t.specularColorMap?"#define USE_SPECULAR_COLORMAP":"",t.specularIntensityMap?"#define USE_SPECULAR_INTENSITYMAP":"",t.roughnessMap?"#define USE_ROUGHNESSMAP":"",t.metalnessMap?"#define USE_METALNESSMAP":"",t.alphaMap?"#define USE_ALPHAMAP":"",t.alphaHash?"#define USE_ALPHAHASH":"",t.transmission?"#define USE_TRANSMISSION":"",t.transmissionMap?"#define USE_TRANSMISSIONMAP":"",t.thicknessMap?"#define USE_THICKNESSMAP":"",t.sheenColorMap?"#define USE_SHEEN_COLORMAP":"",t.sheenRoughnessMap?"#define USE_SHEEN_ROUGHNESSMAP":"",t.mapUv?"#define MAP_UV "+t.mapUv:"",t.alphaMapUv?"#define ALPHAMAP_UV "+t.alphaMapUv:"",t.lightMapUv?"#define LIGHTMAP_UV "+t.lightMapUv:"",t.aoMapUv?"#define AOMAP_UV "+t.aoMapUv:"",t.emissiveMapUv?"#define EMISSIVEMAP_UV "+t.emissiveMapUv:"",t.bumpMapUv?"#define BUMPMAP_UV "+t.bumpMapUv:"",t.normalMapUv?"#define NORMALMAP_UV "+t.normalMapUv:"",t.displacementMapUv?"#define DISPLACEMENTMAP_UV "+t.displacementMapUv:"",t.metalnessMapUv?"#define METALNESSMAP_UV "+t.metalnessMapUv:"",t.roughnessMapUv?"#define ROUGHNESSMAP_UV "+t.roughnessMapUv:"",t.anisotropyMapUv?"#define ANISOTROPYMAP_UV "+t.anisotropyMapUv:"",t.clearcoatMapUv?"#define CLEARCOATMAP_UV "+t.clearcoatMapUv:"",t.clearcoatNormalMapUv?"#define CLEARCOAT_NORMALMAP_UV "+t.clearcoatNormalMapUv:"",t.clearcoatRoughnessMapUv?"#define CLEARCOAT_ROUGHNESSMAP_UV "+t.clearcoatRoughnessMapUv:"",t.iridescenceMapUv?"#define IRIDESCENCEMAP_UV "+t.iridescenceMapUv:"",t.iridescenceThicknessMapUv?"#define IRIDESCENCE_THICKNESSMAP_UV "+t.iridescenceThicknessMapUv:"",t.sheenColorMapUv?"#define SHEEN_COLORMAP_UV "+t.sheenColorMapUv:"",t.sheenRoughnessMapUv?"#define SHEEN_ROUGHNESSMAP_UV "+t.sheenRoughnessMapUv:"",t.specularMapUv?"#define SPECULARMAP_UV "+t.specularMapUv:"",t.specularColorMapUv?"#define SPECULAR_COLORMAP_UV "+t.specularColorMapUv:"",t.specularIntensityMapUv?"#define SPECULAR_INTENSITYMAP_UV "+t.specularIntensityMapUv:"",t.transmissionMapUv?"#define TRANSMISSIONMAP_UV "+t.transmissionMapUv:"",t.thicknessMapUv?"#define THICKNESSMAP_UV "+t.thicknessMapUv:"",t.vertexTangents&&t.flatShading===!1?"#define USE_TANGENT":"",t.vertexColors?"#define USE_COLOR":"",t.vertexAlphas?"#define USE_COLOR_ALPHA":"",t.vertexUv1s?"#define USE_UV1":"",t.vertexUv2s?"#define USE_UV2":"",t.vertexUv3s?"#define USE_UV3":"",t.pointsUvs?"#define USE_POINTS_UV":"",t.flatShading?"#define FLAT_SHADED":"",t.skinning?"#define USE_SKINNING":"",t.morphTargets?"#define USE_MORPHTARGETS":"",t.morphNormals&&t.flatShading===!1?"#define USE_MORPHNORMALS":"",t.morphColors&&t.isWebGL2?"#define USE_MORPHCOLORS":"",t.morphTargetsCount>0&&t.isWebGL2?"#define MORPHTARGETS_TEXTURE":"",t.morphTargetsCount>0&&t.isWebGL2?"#define MORPHTARGETS_TEXTURE_STRIDE "+t.morphTextureStride:"",t.morphTargetsCount>0&&t.isWebGL2?"#define MORPHTARGETS_COUNT "+t.morphTargetsCount:"",t.doubleSided?"#define DOUBLE_SIDED":"",t.flipSided?"#define FLIP_SIDED":"",t.shadowMapEnabled?"#define USE_SHADOWMAP":"",t.shadowMapEnabled?"#define "+l:"",t.sizeAttenuation?"#define USE_SIZEATTENUATION":"",t.numLightProbes>0?"#define USE_LIGHT_PROBES":"",t.useLegacyLights?"#define LEGACY_LIGHTS":"",t.logarithmicDepthBuffer?"#define USE_LOGDEPTHBUF":"",t.logarithmicDepthBuffer&&t.rendererExtensionFragDepth?"#define USE_LOGDEPTHBUF_EXT":"","uniform mat4 modelMatrix;","uniform mat4 modelViewMatrix;","uniform mat4 projectionMatrix;","uniform mat4 viewMatrix;","uniform mat3 normalMatrix;","uniform vec3 cameraPosition;","uniform bool isOrthographic;","#ifdef USE_INSTANCING","	attribute mat4 instanceMatrix;","#endif","#ifdef USE_INSTANCING_COLOR","	attribute vec3 instanceColor;","#endif","attribute vec3 position;","attribute vec3 normal;","attribute vec2 uv;","#ifdef USE_UV1","	attribute vec2 uv1;","#endif","#ifdef USE_UV2","	attribute vec2 uv2;","#endif","#ifdef USE_UV3","	attribute vec2 uv3;","#endif","#ifdef USE_TANGENT","	attribute vec4 tangent;","#endif","#if defined( USE_COLOR_ALPHA )","	attribute vec4 color;","#elif defined( USE_COLOR )","	attribute vec3 color;","#endif","#if ( defined( USE_MORPHTARGETS ) && ! defined( MORPHTARGETS_TEXTURE ) )","	attribute vec3 morphTarget0;","	attribute vec3 morphTarget1;","	attribute vec3 morphTarget2;","	attribute vec3 morphTarget3;","	#ifdef USE_MORPHNORMALS","		attribute vec3 morphNormal0;","		attribute vec3 morphNormal1;","		attribute vec3 morphNormal2;","		attribute vec3 morphNormal3;","	#else","		attribute vec3 morphTarget4;","		attribute vec3 morphTarget5;","		attribute vec3 morphTarget6;","		attribute vec3 morphTarget7;","	#endif","#endif","#ifdef USE_SKINNING","	attribute vec4 skinIndex;","	attribute vec4 skinWeight;","#endif",`
`].filter(fs).join(`
`),_=[m,Ad(t),"#define SHADER_TYPE "+t.shaderType,"#define SHADER_NAME "+t.shaderName,y,t.useFog&&t.fog?"#define USE_FOG":"",t.useFog&&t.fogExp2?"#define FOG_EXP2":"",t.map?"#define USE_MAP":"",t.matcap?"#define USE_MATCAP":"",t.envMap?"#define USE_ENVMAP":"",t.envMap?"#define "+c:"",t.envMap?"#define "+h:"",t.envMap?"#define "+f:"",p?"#define CUBEUV_TEXEL_WIDTH "+p.texelWidth:"",p?"#define CUBEUV_TEXEL_HEIGHT "+p.texelHeight:"",p?"#define CUBEUV_MAX_MIP "+p.maxMip+".0":"",t.lightMap?"#define USE_LIGHTMAP":"",t.aoMap?"#define USE_AOMAP":"",t.bumpMap?"#define USE_BUMPMAP":"",t.normalMap?"#define USE_NORMALMAP":"",t.normalMapObjectSpace?"#define USE_NORMALMAP_OBJECTSPACE":"",t.normalMapTangentSpace?"#define USE_NORMALMAP_TANGENTSPACE":"",t.emissiveMap?"#define USE_EMISSIVEMAP":"",t.anisotropy?"#define USE_ANISOTROPY":"",t.anisotropyMap?"#define USE_ANISOTROPYMAP":"",t.clearcoat?"#define USE_CLEARCOAT":"",t.clearcoatMap?"#define USE_CLEARCOATMAP":"",t.clearcoatRoughnessMap?"#define USE_CLEARCOAT_ROUGHNESSMAP":"",t.clearcoatNormalMap?"#define USE_CLEARCOAT_NORMALMAP":"",t.iridescence?"#define USE_IRIDESCENCE":"",t.iridescenceMap?"#define USE_IRIDESCENCEMAP":"",t.iridescenceThicknessMap?"#define USE_IRIDESCENCE_THICKNESSMAP":"",t.specularMap?"#define USE_SPECULARMAP":"",t.specularColorMap?"#define USE_SPECULAR_COLORMAP":"",t.specularIntensityMap?"#define USE_SPECULAR_INTENSITYMAP":"",t.roughnessMap?"#define USE_ROUGHNESSMAP":"",t.metalnessMap?"#define USE_METALNESSMAP":"",t.alphaMap?"#define USE_ALPHAMAP":"",t.alphaTest?"#define USE_ALPHATEST":"",t.alphaHash?"#define USE_ALPHAHASH":"",t.sheen?"#define USE_SHEEN":"",t.sheenColorMap?"#define USE_SHEEN_COLORMAP":"",t.sheenRoughnessMap?"#define USE_SHEEN_ROUGHNESSMAP":"",t.transmission?"#define USE_TRANSMISSION":"",t.transmissionMap?"#define USE_TRANSMISSIONMAP":"",t.thicknessMap?"#define USE_THICKNESSMAP":"",t.vertexTangents&&t.flatShading===!1?"#define USE_TANGENT":"",t.vertexColors||t.instancingColor?"#define USE_COLOR":"",t.vertexAlphas?"#define USE_COLOR_ALPHA":"",t.vertexUv1s?"#define USE_UV1":"",t.vertexUv2s?"#define USE_UV2":"",t.vertexUv3s?"#define USE_UV3":"",t.pointsUvs?"#define USE_POINTS_UV":"",t.gradientMap?"#define USE_GRADIENTMAP":"",t.flatShading?"#define FLAT_SHADED":"",t.doubleSided?"#define DOUBLE_SIDED":"",t.flipSided?"#define FLIP_SIDED":"",t.shadowMapEnabled?"#define USE_SHADOWMAP":"",t.shadowMapEnabled?"#define "+l:"",t.premultipliedAlpha?"#define PREMULTIPLIED_ALPHA":"",t.numLightProbes>0?"#define USE_LIGHT_PROBES":"",t.useLegacyLights?"#define LEGACY_LIGHTS":"",t.decodeVideoTexture?"#define DECODE_VIDEO_TEXTURE":"",t.logarithmicDepthBuffer?"#define USE_LOGDEPTHBUF":"",t.logarithmicDepthBuffer&&t.rendererExtensionFragDepth?"#define USE_LOGDEPTHBUF_EXT":"","uniform mat4 viewMatrix;","uniform vec3 cameraPosition;","uniform bool isOrthographic;",t.toneMapping!==Fn?"#define TONE_MAPPING":"",t.toneMapping!==Fn?Ge.tonemapping_pars_fragment:"",t.toneMapping!==Fn?wx("toneMapping",t.toneMapping):"",t.dithering?"#define DITHERING":"",t.opaque?"#define OPAQUE":"",Ge.colorspace_pars_fragment,Ex("linearToOutputTexel",t.outputColorSpace),t.useDepthPacking?"#define DEPTH_PACKING "+t.depthPacking:"",`
`].filter(fs).join(`
`)),a=$c(a),a=Ed(a,t),a=wd(a,t),o=$c(o),o=Ed(o,t),o=wd(o,t),a=Td(a),o=Td(o),t.isWebGL2&&t.isRawShaderMaterial!==!0&&(x=`#version 300 es
`,d=[g,"precision mediump sampler2DArray;","#define attribute in","#define varying out","#define texture2D texture"].join(`
`)+`
`+d,_=["precision mediump sampler2DArray;","#define varying in",t.glslVersion===Oc?"":"layout(location = 0) out highp vec4 pc_fragColor;",t.glslVersion===Oc?"":"#define gl_FragColor pc_fragColor","#define gl_FragDepthEXT gl_FragDepth","#define texture2D texture","#define textureCube texture","#define texture2DProj textureProj","#define texture2DLodEXT textureLod","#define texture2DProjLodEXT textureProjLod","#define textureCubeLodEXT textureLod","#define texture2DGradEXT textureGrad","#define texture2DProjGradEXT textureProjGrad","#define textureCubeGradEXT textureGrad"].join(`
`)+`
`+_);let v=x+d+a,A=x+_+o,w=bd(i,i.VERTEX_SHADER,v),b=bd(i,i.FRAGMENT_SHADER,A);i.attachShader(u,w),i.attachShader(u,b),t.index0AttributeName!==void 0?i.bindAttribLocation(u,0,t.index0AttributeName):t.morphTargets===!0&&i.bindAttribLocation(u,0,"position"),i.linkProgram(u);function T(P){if(s.debug.checkShaderErrors){let R=i.getProgramInfoLog(u).trim(),C=i.getShaderInfoLog(w).trim(),I=i.getShaderInfoLog(b).trim(),B=!0,H=!0;if(i.getProgramParameter(u,i.LINK_STATUS)===!1)if(B=!1,typeof s.debug.onShaderError=="function")s.debug.onShaderError(i,u,w,b);else{let X=Sd(i,w,"vertex"),V=Sd(i,b,"fragment");console.error("THREE.WebGLProgram: Shader Error "+i.getError()+" - VALIDATE_STATUS "+i.getProgramParameter(u,i.VALIDATE_STATUS)+`

Program Info Log: `+R+`
`+X+`
`+V)}else R!==""?console.warn("THREE.WebGLProgram: Program Info Log:",R):(C===""||I==="")&&(H=!1);H&&(P.diagnostics={runnable:B,programLog:R,vertexShader:{log:C,prefix:d},fragmentShader:{log:I,prefix:_}})}i.deleteShader(w),i.deleteShader(b),M=new gs(i,u),S=Rx(i,u)}let M;this.getUniforms=function(){return M===void 0&&T(this),M};let S;this.getAttributes=function(){return S===void 0&&T(this),S};let N=t.rendererExtensionParallelShaderCompile===!1;return this.isReady=function(){return N===!1&&(N=i.getProgramParameter(u,vx)),N},this.destroy=function(){n.releaseStatesOfProgram(this),i.deleteProgram(u),this.program=void 0},this.type=t.shaderType,this.name=t.shaderName,this.id=Mx++,this.cacheKey=e,this.usedTimes=1,this.program=u,this.vertexShader=w,this.fragmentShader=b,this}var Vx=0,jc=class{constructor(){this.shaderCache=new Map,this.materialCache=new Map}update(e){let t=e.vertexShader,n=e.fragmentShader,i=this._getShaderStage(t),r=this._getShaderStage(n),a=this._getShaderCacheForMaterial(e);return a.has(i)===!1&&(a.add(i),i.usedTimes++),a.has(r)===!1&&(a.add(r),r.usedTimes++),this}remove(e){let t=this.materialCache.get(e);for(let n of t)n.usedTimes--,n.usedTimes===0&&this.shaderCache.delete(n.code);return this.materialCache.delete(e),this}getVertexShaderID(e){return this._getShaderStage(e.vertexShader).id}getFragmentShaderID(e){return this._getShaderStage(e.fragmentShader).id}dispose(){this.shaderCache.clear(),this.materialCache.clear()}_getShaderCacheForMaterial(e){let t=this.materialCache,n=t.get(e);return n===void 0&&(n=new Set,t.set(e,n)),n}_getShaderStage(e){let t=this.shaderCache,n=t.get(e);return n===void 0&&(n=new Qc(e),t.set(e,n)),n}},Qc=class{constructor(e){this.id=Vx++,this.code=e,this.usedTimes=0}};function Hx(s,e,t,n,i,r,a){let o=new Ms,l=new jc,c=[],h=i.isWebGL2,f=i.logarithmicDepthBuffer,p=i.vertexTextures,m=i.precision,g={MeshDepthMaterial:"depth",MeshDistanceMaterial:"distanceRGBA",MeshNormalMaterial:"normal",MeshBasicMaterial:"basic",MeshLambertMaterial:"lambert",MeshPhongMaterial:"phong",MeshToonMaterial:"toon",MeshStandardMaterial:"physical",MeshPhysicalMaterial:"physical",MeshMatcapMaterial:"matcap",LineBasicMaterial:"basic",LineDashedMaterial:"dashed",PointsMaterial:"points",ShadowMaterial:"shadow",SpriteMaterial:"sprite"};function y(M){return M===0?"uv":`uv${M}`}function u(M,S,N,P,R){let C=P.fog,I=R.geometry,B=M.isMeshStandardMaterial?P.environment:null,H=(M.isMeshStandardMaterial?t:e).get(M.envMap||B),X=H&&H.mapping===Ds?H.image.height:null,V=g[M.type];M.precision!==null&&(m=i.getMaxPrecision(M.precision),m!==M.precision&&console.warn("THREE.WebGLProgram.getParameters:",M.precision,"not supported, using",m,"instead."));let W=I.morphAttributes.position||I.morphAttributes.normal||I.morphAttributes.color,Y=W!==void 0?W.length:0,te=0;I.morphAttributes.position!==void 0&&(te=1),I.morphAttributes.normal!==void 0&&(te=2),I.morphAttributes.color!==void 0&&(te=3);let G,$,ae,ge;if(V){let dt=ln[V];G=dt.vertexShader,$=dt.fragmentShader}else G=M.vertexShader,$=M.fragmentShader,l.update(M),ae=l.getVertexShaderID(M),ge=l.getFragmentShaderID(M);let ue=s.getRenderTarget(),oe=R.isInstancedMesh===!0,ye=R.isBatchedMesh===!0,de=!!M.map,Ce=!!M.matcap,F=!!H,re=!!M.aoMap,Q=!!M.lightMap,le=!!M.bumpMap,j=!!M.normalMap,Re=!!M.displacementMap,xe=!!M.emissiveMap,L=!!M.metalnessMap,E=!!M.roughnessMap,k=M.anisotropy>0,ee=M.clearcoat>0,ie=M.iridescence>0,se=M.sheen>0,Te=M.transmission>0,pe=k&&!!M.anisotropyMap,ve=ee&&!!M.clearcoatMap,be=ee&&!!M.clearcoatNormalMap,Fe=ee&&!!M.clearcoatRoughnessMap,ce=ie&&!!M.iridescenceMap,je=ie&&!!M.iridescenceThicknessMap,qe=se&&!!M.sheenColorMap,ze=se&&!!M.sheenRoughnessMap,De=!!M.specularMap,Ee=!!M.specularColorMap,O=!!M.specularIntensityMap,fe=Te&&!!M.transmissionMap,Le=Te&&!!M.thicknessMap,Ae=!!M.gradientMap,he=!!M.alphaMap,z=M.alphaTest>0,me=!!M.alphaHash,Me=!!M.extensions,Ue=!!I.attributes.uv1,Ne=!!I.attributes.uv2,Ke=!!I.attributes.uv3,$e=Fn;return M.toneMapped&&(ue===null||ue.isXRRenderTarget===!0)&&($e=s.toneMapping),{isWebGL2:h,shaderID:V,shaderType:M.type,shaderName:M.name,vertexShader:G,fragmentShader:$,defines:M.defines,customVertexShaderID:ae,customFragmentShaderID:ge,isRawShaderMaterial:M.isRawShaderMaterial===!0,glslVersion:M.glslVersion,precision:m,batching:ye,instancing:oe,instancingColor:oe&&R.instanceColor!==null,supportsVertexTextures:p,outputColorSpace:ue===null?s.outputColorSpace:ue.isXRRenderTarget===!0?ue.texture.colorSpace:yn,map:de,matcap:Ce,envMap:F,envMapMode:F&&H.mapping,envMapCubeUVHeight:X,aoMap:re,lightMap:Q,bumpMap:le,normalMap:j,displacementMap:p&&Re,emissiveMap:xe,normalMapObjectSpace:j&&M.normalMapType===yp,normalMapTangentSpace:j&&M.normalMapType===ci,metalnessMap:L,roughnessMap:E,anisotropy:k,anisotropyMap:pe,clearcoat:ee,clearcoatMap:ve,clearcoatNormalMap:be,clearcoatRoughnessMap:Fe,iridescence:ie,iridescenceMap:ce,iridescenceThicknessMap:je,sheen:se,sheenColorMap:qe,sheenRoughnessMap:ze,specularMap:De,specularColorMap:Ee,specularIntensityMap:O,transmission:Te,transmissionMap:fe,thicknessMap:Le,gradientMap:Ae,opaque:M.transparent===!1&&M.blending===Ri,alphaMap:he,alphaTest:z,alphaHash:me,combine:M.combine,mapUv:de&&y(M.map.channel),aoMapUv:re&&y(M.aoMap.channel),lightMapUv:Q&&y(M.lightMap.channel),bumpMapUv:le&&y(M.bumpMap.channel),normalMapUv:j&&y(M.normalMap.channel),displacementMapUv:Re&&y(M.displacementMap.channel),emissiveMapUv:xe&&y(M.emissiveMap.channel),metalnessMapUv:L&&y(M.metalnessMap.channel),roughnessMapUv:E&&y(M.roughnessMap.channel),anisotropyMapUv:pe&&y(M.anisotropyMap.channel),clearcoatMapUv:ve&&y(M.clearcoatMap.channel),clearcoatNormalMapUv:be&&y(M.clearcoatNormalMap.channel),clearcoatRoughnessMapUv:Fe&&y(M.clearcoatRoughnessMap.channel),iridescenceMapUv:ce&&y(M.iridescenceMap.channel),iridescenceThicknessMapUv:je&&y(M.iridescenceThicknessMap.channel),sheenColorMapUv:qe&&y(M.sheenColorMap.channel),sheenRoughnessMapUv:ze&&y(M.sheenRoughnessMap.channel),specularMapUv:De&&y(M.specularMap.channel),specularColorMapUv:Ee&&y(M.specularColorMap.channel),specularIntensityMapUv:O&&y(M.specularIntensityMap.channel),transmissionMapUv:fe&&y(M.transmissionMap.channel),thicknessMapUv:Le&&y(M.thicknessMap.channel),alphaMapUv:he&&y(M.alphaMap.channel),vertexTangents:!!I.attributes.tangent&&(j||k),vertexColors:M.vertexColors,vertexAlphas:M.vertexColors===!0&&!!I.attributes.color&&I.attributes.color.itemSize===4,vertexUv1s:Ue,vertexUv2s:Ne,vertexUv3s:Ke,pointsUvs:R.isPoints===!0&&!!I.attributes.uv&&(de||he),fog:!!C,useFog:M.fog===!0,fogExp2:C&&C.isFogExp2,flatShading:M.flatShading===!0,sizeAttenuation:M.sizeAttenuation===!0,logarithmicDepthBuffer:f,skinning:R.isSkinnedMesh===!0,morphTargets:I.morphAttributes.position!==void 0,morphNormals:I.morphAttributes.normal!==void 0,morphColors:I.morphAttributes.color!==void 0,morphTargetsCount:Y,morphTextureStride:te,numDirLights:S.directional.length,numPointLights:S.point.length,numSpotLights:S.spot.length,numSpotLightMaps:S.spotLightMap.length,numRectAreaLights:S.rectArea.length,numHemiLights:S.hemi.length,numDirLightShadows:S.directionalShadowMap.length,numPointLightShadows:S.pointShadowMap.length,numSpotLightShadows:S.spotShadowMap.length,numSpotLightShadowsWithMaps:S.numSpotLightShadowsWithMaps,numLightProbes:S.numLightProbes,numClippingPlanes:a.numPlanes,numClipIntersection:a.numIntersection,dithering:M.dithering,shadowMapEnabled:s.shadowMap.enabled&&N.length>0,shadowMapType:s.shadowMap.type,toneMapping:$e,useLegacyLights:s._useLegacyLights,decodeVideoTexture:de&&M.map.isVideoTexture===!0&&it.getTransfer(M.map.colorSpace)===rt,premultipliedAlpha:M.premultipliedAlpha,doubleSided:M.side===mn,flipSided:M.side===Vt,useDepthPacking:M.depthPacking>=0,depthPacking:M.depthPacking||0,index0AttributeName:M.index0AttributeName,extensionDerivatives:Me&&M.extensions.derivatives===!0,extensionFragDepth:Me&&M.extensions.fragDepth===!0,extensionDrawBuffers:Me&&M.extensions.drawBuffers===!0,extensionShaderTextureLOD:Me&&M.extensions.shaderTextureLOD===!0,extensionClipCullDistance:Me&&M.extensions.clipCullDistance&&n.has("WEBGL_clip_cull_distance"),rendererExtensionFragDepth:h||n.has("EXT_frag_depth"),rendererExtensionDrawBuffers:h||n.has("WEBGL_draw_buffers"),rendererExtensionShaderTextureLod:h||n.has("EXT_shader_texture_lod"),rendererExtensionParallelShaderCompile:n.has("KHR_parallel_shader_compile"),customProgramCacheKey:M.customProgramCacheKey()}}function d(M){let S=[];if(M.shaderID?S.push(M.shaderID):(S.push(M.customVertexShaderID),S.push(M.customFragmentShaderID)),M.defines!==void 0)for(let N in M.defines)S.push(N),S.push(M.defines[N]);return M.isRawShaderMaterial===!1&&(_(S,M),x(S,M),S.push(s.outputColorSpace)),S.push(M.customProgramCacheKey),S.join()}function _(M,S){M.push(S.precision),M.push(S.outputColorSpace),M.push(S.envMapMode),M.push(S.envMapCubeUVHeight),M.push(S.mapUv),M.push(S.alphaMapUv),M.push(S.lightMapUv),M.push(S.aoMapUv),M.push(S.bumpMapUv),M.push(S.normalMapUv),M.push(S.displacementMapUv),M.push(S.emissiveMapUv),M.push(S.metalnessMapUv),M.push(S.roughnessMapUv),M.push(S.anisotropyMapUv),M.push(S.clearcoatMapUv),M.push(S.clearcoatNormalMapUv),M.push(S.clearcoatRoughnessMapUv),M.push(S.iridescenceMapUv),M.push(S.iridescenceThicknessMapUv),M.push(S.sheenColorMapUv),M.push(S.sheenRoughnessMapUv),M.push(S.specularMapUv),M.push(S.specularColorMapUv),M.push(S.specularIntensityMapUv),M.push(S.transmissionMapUv),M.push(S.thicknessMapUv),M.push(S.combine),M.push(S.fogExp2),M.push(S.sizeAttenuation),M.push(S.morphTargetsCount),M.push(S.morphAttributeCount),M.push(S.numDirLights),M.push(S.numPointLights),M.push(S.numSpotLights),M.push(S.numSpotLightMaps),M.push(S.numHemiLights),M.push(S.numRectAreaLights),M.push(S.numDirLightShadows),M.push(S.numPointLightShadows),M.push(S.numSpotLightShadows),M.push(S.numSpotLightShadowsWithMaps),M.push(S.numLightProbes),M.push(S.shadowMapType),M.push(S.toneMapping),M.push(S.numClippingPlanes),M.push(S.numClipIntersection),M.push(S.depthPacking)}function x(M,S){o.disableAll(),S.isWebGL2&&o.enable(0),S.supportsVertexTextures&&o.enable(1),S.instancing&&o.enable(2),S.instancingColor&&o.enable(3),S.matcap&&o.enable(4),S.envMap&&o.enable(5),S.normalMapObjectSpace&&o.enable(6),S.normalMapTangentSpace&&o.enable(7),S.clearcoat&&o.enable(8),S.iridescence&&o.enable(9),S.alphaTest&&o.enable(10),S.vertexColors&&o.enable(11),S.vertexAlphas&&o.enable(12),S.vertexUv1s&&o.enable(13),S.vertexUv2s&&o.enable(14),S.vertexUv3s&&o.enable(15),S.vertexTangents&&o.enable(16),S.anisotropy&&o.enable(17),S.alphaHash&&o.enable(18),S.batching&&o.enable(19),M.push(o.mask),o.disableAll(),S.fog&&o.enable(0),S.useFog&&o.enable(1),S.flatShading&&o.enable(2),S.logarithmicDepthBuffer&&o.enable(3),S.skinning&&o.enable(4),S.morphTargets&&o.enable(5),S.morphNormals&&o.enable(6),S.morphColors&&o.enable(7),S.premultipliedAlpha&&o.enable(8),S.shadowMapEnabled&&o.enable(9),S.useLegacyLights&&o.enable(10),S.doubleSided&&o.enable(11),S.flipSided&&o.enable(12),S.useDepthPacking&&o.enable(13),S.dithering&&o.enable(14),S.transmission&&o.enable(15),S.sheen&&o.enable(16),S.opaque&&o.enable(17),S.pointsUvs&&o.enable(18),S.decodeVideoTexture&&o.enable(19),M.push(o.mask)}function v(M){let S=g[M.type],N;if(S){let P=ln[S];N=Rp.clone(P.uniforms)}else N=M.uniforms;return N}function A(M,S){let N;for(let P=0,R=c.length;P<R;P++){let C=c[P];if(C.cacheKey===S){N=C,++N.usedTimes;break}}return N===void 0&&(N=new kx(s,S,M,r),c.push(N)),N}function w(M){if(--M.usedTimes===0){let S=c.indexOf(M);c[S]=c[c.length-1],c.pop(),M.destroy()}}function b(M){l.remove(M)}function T(){l.dispose()}return{getParameters:u,getProgramCacheKey:d,getUniforms:v,acquireProgram:A,releaseProgram:w,releaseShaderCache:b,programs:c,dispose:T}}function Gx(){let s=new WeakMap;function e(r){let a=s.get(r);return a===void 0&&(a={},s.set(r,a)),a}function t(r){s.delete(r)}function n(r,a,o){s.get(r)[a]=o}function i(){s=new WeakMap}return{get:e,remove:t,update:n,dispose:i}}function Wx(s,e){return s.groupOrder!==e.groupOrder?s.groupOrder-e.groupOrder:s.renderOrder!==e.renderOrder?s.renderOrder-e.renderOrder:s.material.id!==e.material.id?s.material.id-e.material.id:s.z!==e.z?s.z-e.z:s.id-e.id}function Cd(s,e){return s.groupOrder!==e.groupOrder?s.groupOrder-e.groupOrder:s.renderOrder!==e.renderOrder?s.renderOrder-e.renderOrder:s.z!==e.z?e.z-s.z:s.id-e.id}function Rd(){let s=[],e=0,t=[],n=[],i=[];function r(){e=0,t.length=0,n.length=0,i.length=0}function a(f,p,m,g,y,u){let d=s[e];return d===void 0?(d={id:f.id,object:f,geometry:p,material:m,groupOrder:g,renderOrder:f.renderOrder,z:y,group:u},s[e]=d):(d.id=f.id,d.object=f,d.geometry=p,d.material=m,d.groupOrder=g,d.renderOrder=f.renderOrder,d.z=y,d.group=u),e++,d}function o(f,p,m,g,y,u){let d=a(f,p,m,g,y,u);m.transmission>0?n.push(d):m.transparent===!0?i.push(d):t.push(d)}function l(f,p,m,g,y,u){let d=a(f,p,m,g,y,u);m.transmission>0?n.unshift(d):m.transparent===!0?i.unshift(d):t.unshift(d)}function c(f,p){t.length>1&&t.sort(f||Wx),n.length>1&&n.sort(p||Cd),i.length>1&&i.sort(p||Cd)}function h(){for(let f=e,p=s.length;f<p;f++){let m=s[f];if(m.id===null)break;m.id=null,m.object=null,m.geometry=null,m.material=null,m.group=null}}return{opaque:t,transmissive:n,transparent:i,init:r,push:o,unshift:l,finish:h,sort:c}}function Xx(){let s=new WeakMap;function e(n,i){let r=s.get(n),a;return r===void 0?(a=new Rd,s.set(n,[a])):i>=r.length?(a=new Rd,r.push(a)):a=r[i],a}function t(){s=new WeakMap}return{get:e,dispose:t}}function Yx(){let s={};return{get:function(e){if(s[e.id]!==void 0)return s[e.id];let t;switch(e.type){case"DirectionalLight":t={direction:new U,color:new Se};break;case"SpotLight":t={position:new U,direction:new U,color:new Se,distance:0,coneCos:0,penumbraCos:0,decay:0};break;case"PointLight":t={position:new U,color:new Se,distance:0,decay:0};break;case"HemisphereLight":t={direction:new U,skyColor:new Se,groundColor:new Se};break;case"RectAreaLight":t={color:new Se,position:new U,halfWidth:new U,halfHeight:new U};break}return s[e.id]=t,t}}}function qx(){let s={};return{get:function(e){if(s[e.id]!==void 0)return s[e.id];let t;switch(e.type){case"DirectionalLight":t={shadowBias:0,shadowNormalBias:0,shadowRadius:1,shadowMapSize:new ne};break;case"SpotLight":t={shadowBias:0,shadowNormalBias:0,shadowRadius:1,shadowMapSize:new ne};break;case"PointLight":t={shadowBias:0,shadowNormalBias:0,shadowRadius:1,shadowMapSize:new ne,shadowCameraNear:1,shadowCameraFar:1e3};break}return s[e.id]=t,t}}}var Zx=0;function Jx(s,e){return(e.castShadow?2:0)-(s.castShadow?2:0)+(e.map?1:0)-(s.map?1:0)}function Kx(s,e){let t=new Yx,n=qx(),i={version:0,hash:{directionalLength:-1,pointLength:-1,spotLength:-1,rectAreaLength:-1,hemiLength:-1,numDirectionalShadows:-1,numPointShadows:-1,numSpotShadows:-1,numSpotMaps:-1,numLightProbes:-1},ambient:[0,0,0],probe:[],directional:[],directionalShadow:[],directionalShadowMap:[],directionalShadowMatrix:[],spot:[],spotLightMap:[],spotShadow:[],spotShadowMap:[],spotLightMatrix:[],rectArea:[],rectAreaLTC1:null,rectAreaLTC2:null,point:[],pointShadow:[],pointShadowMap:[],pointShadowMatrix:[],hemi:[],numSpotLightShadowsWithMaps:0,numLightProbes:0};for(let h=0;h<9;h++)i.probe.push(new U);let r=new U,a=new Be,o=new Be;function l(h,f){let p=0,m=0,g=0;for(let P=0;P<9;P++)i.probe[P].set(0,0,0);let y=0,u=0,d=0,_=0,x=0,v=0,A=0,w=0,b=0,T=0,M=0;h.sort(Jx);let S=f===!0?Math.PI:1;for(let P=0,R=h.length;P<R;P++){let C=h[P],I=C.color,B=C.intensity,H=C.distance,X=C.shadow&&C.shadow.map?C.shadow.map.texture:null;if(C.isAmbientLight)p+=I.r*B*S,m+=I.g*B*S,g+=I.b*B*S;else if(C.isLightProbe){for(let V=0;V<9;V++)i.probe[V].addScaledVector(C.sh.coefficients[V],B);M++}else if(C.isDirectionalLight){let V=t.get(C);if(V.color.copy(C.color).multiplyScalar(C.intensity*S),C.castShadow){let W=C.shadow,Y=n.get(C);Y.shadowBias=W.bias,Y.shadowNormalBias=W.normalBias,Y.shadowRadius=W.radius,Y.shadowMapSize=W.mapSize,i.directionalShadow[y]=Y,i.directionalShadowMap[y]=X,i.directionalShadowMatrix[y]=C.shadow.matrix,v++}i.directional[y]=V,y++}else if(C.isSpotLight){let V=t.get(C);V.position.setFromMatrixPosition(C.matrixWorld),V.color.copy(I).multiplyScalar(B*S),V.distance=H,V.coneCos=Math.cos(C.angle),V.penumbraCos=Math.cos(C.angle*(1-C.penumbra)),V.decay=C.decay,i.spot[d]=V;let W=C.shadow;if(C.map&&(i.spotLightMap[b]=C.map,b++,W.updateMatrices(C),C.castShadow&&T++),i.spotLightMatrix[d]=W.matrix,C.castShadow){let Y=n.get(C);Y.shadowBias=W.bias,Y.shadowNormalBias=W.normalBias,Y.shadowRadius=W.radius,Y.shadowMapSize=W.mapSize,i.spotShadow[d]=Y,i.spotShadowMap[d]=X,w++}d++}else if(C.isRectAreaLight){let V=t.get(C);V.color.copy(I).multiplyScalar(B),V.halfWidth.set(C.width*.5,0,0),V.halfHeight.set(0,C.height*.5,0),i.rectArea[_]=V,_++}else if(C.isPointLight){let V=t.get(C);if(V.color.copy(C.color).multiplyScalar(C.intensity*S),V.distance=C.distance,V.decay=C.decay,C.castShadow){let W=C.shadow,Y=n.get(C);Y.shadowBias=W.bias,Y.shadowNormalBias=W.normalBias,Y.shadowRadius=W.radius,Y.shadowMapSize=W.mapSize,Y.shadowCameraNear=W.camera.near,Y.shadowCameraFar=W.camera.far,i.pointShadow[u]=Y,i.pointShadowMap[u]=X,i.pointShadowMatrix[u]=C.shadow.matrix,A++}i.point[u]=V,u++}else if(C.isHemisphereLight){let V=t.get(C);V.skyColor.copy(C.color).multiplyScalar(B*S),V.groundColor.copy(C.groundColor).multiplyScalar(B*S),i.hemi[x]=V,x++}}_>0&&(e.isWebGL2?s.has("OES_texture_float_linear")===!0?(i.rectAreaLTC1=_e.LTC_FLOAT_1,i.rectAreaLTC2=_e.LTC_FLOAT_2):(i.rectAreaLTC1=_e.LTC_HALF_1,i.rectAreaLTC2=_e.LTC_HALF_2):s.has("OES_texture_float_linear")===!0?(i.rectAreaLTC1=_e.LTC_FLOAT_1,i.rectAreaLTC2=_e.LTC_FLOAT_2):s.has("OES_texture_half_float_linear")===!0?(i.rectAreaLTC1=_e.LTC_HALF_1,i.rectAreaLTC2=_e.LTC_HALF_2):console.error("THREE.WebGLRenderer: Unable to use RectAreaLight. Missing WebGL extensions.")),i.ambient[0]=p,i.ambient[1]=m,i.ambient[2]=g;let N=i.hash;(N.directionalLength!==y||N.pointLength!==u||N.spotLength!==d||N.rectAreaLength!==_||N.hemiLength!==x||N.numDirectionalShadows!==v||N.numPointShadows!==A||N.numSpotShadows!==w||N.numSpotMaps!==b||N.numLightProbes!==M)&&(i.directional.length=y,i.spot.length=d,i.rectArea.length=_,i.point.length=u,i.hemi.length=x,i.directionalShadow.length=v,i.directionalShadowMap.length=v,i.pointShadow.length=A,i.pointShadowMap.length=A,i.spotShadow.length=w,i.spotShadowMap.length=w,i.directionalShadowMatrix.length=v,i.pointShadowMatrix.length=A,i.spotLightMatrix.length=w+b-T,i.spotLightMap.length=b,i.numSpotLightShadowsWithMaps=T,i.numLightProbes=M,N.directionalLength=y,N.pointLength=u,N.spotLength=d,N.rectAreaLength=_,N.hemiLength=x,N.numDirectionalShadows=v,N.numPointShadows=A,N.numSpotShadows=w,N.numSpotMaps=b,N.numLightProbes=M,i.version=Zx++)}function c(h,f){let p=0,m=0,g=0,y=0,u=0,d=f.matrixWorldInverse;for(let _=0,x=h.length;_<x;_++){let v=h[_];if(v.isDirectionalLight){let A=i.directional[p];A.direction.setFromMatrixPosition(v.matrixWorld),r.setFromMatrixPosition(v.target.matrixWorld),A.direction.sub(r),A.direction.transformDirection(d),p++}else if(v.isSpotLight){let A=i.spot[g];A.position.setFromMatrixPosition(v.matrixWorld),A.position.applyMatrix4(d),A.direction.setFromMatrixPosition(v.matrixWorld),r.setFromMatrixPosition(v.target.matrixWorld),A.direction.sub(r),A.direction.transformDirection(d),g++}else if(v.isRectAreaLight){let A=i.rectArea[y];A.position.setFromMatrixPosition(v.matrixWorld),A.position.applyMatrix4(d),o.identity(),a.copy(v.matrixWorld),a.premultiply(d),o.extractRotation(a),A.halfWidth.set(v.width*.5,0,0),A.halfHeight.set(0,v.height*.5,0),A.halfWidth.applyMatrix4(o),A.halfHeight.applyMatrix4(o),y++}else if(v.isPointLight){let A=i.point[m];A.position.setFromMatrixPosition(v.matrixWorld),A.position.applyMatrix4(d),m++}else if(v.isHemisphereLight){let A=i.hemi[u];A.direction.setFromMatrixPosition(v.matrixWorld),A.direction.transformDirection(d),u++}}}return{setup:l,setupView:c,state:i}}function Pd(s,e){let t=new Kx(s,e),n=[],i=[];function r(){n.length=0,i.length=0}function a(f){n.push(f)}function o(f){i.push(f)}function l(f){t.setup(n,f)}function c(f){t.setupView(n,f)}return{init:r,state:{lightsArray:n,shadowsArray:i,lights:t},setupLights:l,setupLightsView:c,pushLight:a,pushShadow:o}}function $x(s,e){let t=new WeakMap;function n(r,a=0){let o=t.get(r),l;return o===void 0?(l=new Pd(s,e),t.set(r,[l])):a>=o.length?(l=new Pd(s,e),o.push(l)):l=o[a],l}function i(){t=new WeakMap}return{get:n,dispose:i}}var Mr=class extends Pt{constructor(e){super(),this.isMeshDepthMaterial=!0,this.type="MeshDepthMaterial",this.depthPacking=mp,this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.setValues(e)}copy(e){return super.copy(e),this.depthPacking=e.depthPacking,this.map=e.map,this.alphaMap=e.alphaMap,this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this}},br=class extends Pt{constructor(e){super(),this.isMeshDistanceMaterial=!0,this.type="MeshDistanceMaterial",this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.setValues(e)}copy(e){return super.copy(e),this.map=e.map,this.alphaMap=e.alphaMap,this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this}},jx=`void main() {
	gl_Position = vec4( position, 1.0 );
}`,Qx=`uniform sampler2D shadow_pass;
uniform vec2 resolution;
uniform float radius;
#include <packing>
void main() {
	const float samples = float( VSM_SAMPLES );
	float mean = 0.0;
	float squared_mean = 0.0;
	float uvStride = samples <= 1.0 ? 0.0 : 2.0 / ( samples - 1.0 );
	float uvStart = samples <= 1.0 ? 0.0 : - 1.0;
	for ( float i = 0.0; i < samples; i ++ ) {
		float uvOffset = uvStart + i * uvStride;
		#ifdef HORIZONTAL_PASS
			vec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( uvOffset, 0.0 ) * radius ) / resolution ) );
			mean += distribution.x;
			squared_mean += distribution.y * distribution.y + distribution.x * distribution.x;
		#else
			float depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0, uvOffset ) * radius ) / resolution ) );
			mean += depth;
			squared_mean += depth * depth;
		#endif
	}
	mean = mean / samples;
	squared_mean = squared_mean / samples;
	float std_dev = sqrt( squared_mean - mean * mean );
	gl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) );
}`;function ev(s,e,t){let n=new Ni,i=new ne,r=new ne,a=new st,o=new Mr({depthPacking:gp}),l=new br,c={},h=t.maxTextureSize,f={[kn]:Vt,[Vt]:kn,[mn]:mn},p=new nn({defines:{VSM_SAMPLES:8},uniforms:{shadow_pass:{value:null},resolution:{value:new ne},radius:{value:4}},vertexShader:jx,fragmentShader:Qx}),m=p.clone();m.defines.HORIZONTAL_PASS=1;let g=new Ye;g.setAttribute("position",new et(new Float32Array([-1,-1,.5,3,-1,.5,-1,3,.5]),3));let y=new xt(g,p),u=this;this.enabled=!1,this.autoUpdate=!0,this.needsUpdate=!1,this.type=Qh;let d=this.type;this.render=function(w,b,T){if(u.enabled===!1||u.autoUpdate===!1&&u.needsUpdate===!1||w.length===0)return;let M=s.getRenderTarget(),S=s.getActiveCubeFace(),N=s.getActiveMipmapLevel(),P=s.state;P.setBlending(On),P.buffers.color.setClear(1,1,1,1),P.buffers.depth.setTest(!0),P.setScissorTest(!1);let R=d!==pn&&this.type===pn,C=d===pn&&this.type!==pn;for(let I=0,B=w.length;I<B;I++){let H=w[I],X=H.shadow;if(X===void 0){console.warn("THREE.WebGLShadowMap:",H,"has no shadow.");continue}if(X.autoUpdate===!1&&X.needsUpdate===!1)continue;i.copy(X.mapSize);let V=X.getFrameExtents();if(i.multiply(V),r.copy(X.mapSize),(i.x>h||i.y>h)&&(i.x>h&&(r.x=Math.floor(h/V.x),i.x=r.x*V.x,X.mapSize.x=r.x),i.y>h&&(r.y=Math.floor(h/V.y),i.y=r.y*V.y,X.mapSize.y=r.y)),X.map===null||R===!0||C===!0){let Y=this.type!==pn?{minFilter:mt,magFilter:mt}:{};X.map!==null&&X.map.dispose(),X.map=new Ht(i.x,i.y,Y),X.map.texture.name=H.name+".shadowMap",X.camera.updateProjectionMatrix()}s.setRenderTarget(X.map),s.clear();let W=X.getViewportCount();for(let Y=0;Y<W;Y++){let te=X.getViewport(Y);a.set(r.x*te.x,r.y*te.y,r.x*te.z,r.y*te.w),P.viewport(a),X.updateMatrices(H,Y),n=X.getFrustum(),v(b,T,X.camera,H,this.type)}X.isPointLightShadow!==!0&&this.type===pn&&_(X,T),X.needsUpdate=!1}d=this.type,u.needsUpdate=!1,s.setRenderTarget(M,S,N)};function _(w,b){let T=e.update(y);p.defines.VSM_SAMPLES!==w.blurSamples&&(p.defines.VSM_SAMPLES=w.blurSamples,m.defines.VSM_SAMPLES=w.blurSamples,p.needsUpdate=!0,m.needsUpdate=!0),w.mapPass===null&&(w.mapPass=new Ht(i.x,i.y)),p.uniforms.shadow_pass.value=w.map.texture,p.uniforms.resolution.value=w.mapSize,p.uniforms.radius.value=w.radius,s.setRenderTarget(w.mapPass),s.clear(),s.renderBufferDirect(b,null,T,p,y,null),m.uniforms.shadow_pass.value=w.mapPass.texture,m.uniforms.resolution.value=w.mapSize,m.uniforms.radius.value=w.radius,s.setRenderTarget(w.map),s.clear(),s.renderBufferDirect(b,null,T,m,y,null)}function x(w,b,T,M){let S=null,N=T.isPointLight===!0?w.customDistanceMaterial:w.customDepthMaterial;if(N!==void 0)S=N;else if(S=T.isPointLight===!0?l:o,s.localClippingEnabled&&b.clipShadows===!0&&Array.isArray(b.clippingPlanes)&&b.clippingPlanes.length!==0||b.displacementMap&&b.displacementScale!==0||b.alphaMap&&b.alphaTest>0||b.map&&b.alphaTest>0){let P=S.uuid,R=b.uuid,C=c[P];C===void 0&&(C={},c[P]=C);let I=C[R];I===void 0&&(I=S.clone(),C[R]=I,b.addEventListener("dispose",A)),S=I}if(S.visible=b.visible,S.wireframe=b.wireframe,M===pn?S.side=b.shadowSide!==null?b.shadowSide:b.side:S.side=b.shadowSide!==null?b.shadowSide:f[b.side],S.alphaMap=b.alphaMap,S.alphaTest=b.alphaTest,S.map=b.map,S.clipShadows=b.clipShadows,S.clippingPlanes=b.clippingPlanes,S.clipIntersection=b.clipIntersection,S.displacementMap=b.displacementMap,S.displacementScale=b.displacementScale,S.displacementBias=b.displacementBias,S.wireframeLinewidth=b.wireframeLinewidth,S.linewidth=b.linewidth,T.isPointLight===!0&&S.isMeshDistanceMaterial===!0){let P=s.properties.get(S);P.light=T}return S}function v(w,b,T,M,S){if(w.visible===!1)return;if(w.layers.test(b.layers)&&(w.isMesh||w.isLine||w.isPoints)&&(w.castShadow||w.receiveShadow&&S===pn)&&(!w.frustumCulled||n.intersectsObject(w))){w.modelViewMatrix.multiplyMatrices(T.matrixWorldInverse,w.matrixWorld);let R=e.update(w),C=w.material;if(Array.isArray(C)){let I=R.groups;for(let B=0,H=I.length;B<H;B++){let X=I[B],V=C[X.materialIndex];if(V&&V.visible){let W=x(w,V,M,S);w.onBeforeShadow(s,w,b,T,R,W,X),s.renderBufferDirect(T,null,R,W,w,X),w.onAfterShadow(s,w,b,T,R,W,X)}}}else if(C.visible){let I=x(w,C,M,S);w.onBeforeShadow(s,w,b,T,R,I,null),s.renderBufferDirect(T,null,R,I,w,null),w.onAfterShadow(s,w,b,T,R,I,null)}}let P=w.children;for(let R=0,C=P.length;R<C;R++)v(P[R],b,T,M,S)}function A(w){w.target.removeEventListener("dispose",A);for(let T in c){let M=c[T],S=w.target.uuid;S in M&&(M[S].dispose(),delete M[S])}}}function tv(s,e,t){let n=t.isWebGL2;function i(){let z=!1,me=new st,Me=null,Ue=new st(0,0,0,0);return{setMask:function(Ne){Me!==Ne&&!z&&(s.colorMask(Ne,Ne,Ne,Ne),Me=Ne)},setLocked:function(Ne){z=Ne},setClear:function(Ne,Ke,$e,lt,dt){dt===!0&&(Ne*=lt,Ke*=lt,$e*=lt),me.set(Ne,Ke,$e,lt),Ue.equals(me)===!1&&(s.clearColor(Ne,Ke,$e,lt),Ue.copy(me))},reset:function(){z=!1,Me=null,Ue.set(-1,0,0,0)}}}function r(){let z=!1,me=null,Me=null,Ue=null;return{setTest:function(Ne){Ne?ye(s.DEPTH_TEST):de(s.DEPTH_TEST)},setMask:function(Ne){me!==Ne&&!z&&(s.depthMask(Ne),me=Ne)},setFunc:function(Ne){if(Me!==Ne){switch(Ne){case Hf:s.depthFunc(s.NEVER);break;case Gf:s.depthFunc(s.ALWAYS);break;case Wf:s.depthFunc(s.LESS);break;case er:s.depthFunc(s.LEQUAL);break;case Xf:s.depthFunc(s.EQUAL);break;case Yf:s.depthFunc(s.GEQUAL);break;case qf:s.depthFunc(s.GREATER);break;case Zf:s.depthFunc(s.NOTEQUAL);break;default:s.depthFunc(s.LEQUAL)}Me=Ne}},setLocked:function(Ne){z=Ne},setClear:function(Ne){Ue!==Ne&&(s.clearDepth(Ne),Ue=Ne)},reset:function(){z=!1,me=null,Me=null,Ue=null}}}function a(){let z=!1,me=null,Me=null,Ue=null,Ne=null,Ke=null,$e=null,lt=null,dt=null;return{setTest:function(Qe){z||(Qe?ye(s.STENCIL_TEST):de(s.STENCIL_TEST))},setMask:function(Qe){me!==Qe&&!z&&(s.stencilMask(Qe),me=Qe)},setFunc:function(Qe,Mt,fn){(Me!==Qe||Ue!==Mt||Ne!==fn)&&(s.stencilFunc(Qe,Mt,fn),Me=Qe,Ue=Mt,Ne=fn)},setOp:function(Qe,Mt,fn){(Ke!==Qe||$e!==Mt||lt!==fn)&&(s.stencilOp(Qe,Mt,fn),Ke=Qe,$e=Mt,lt=fn)},setLocked:function(Qe){z=Qe},setClear:function(Qe){dt!==Qe&&(s.clearStencil(Qe),dt=Qe)},reset:function(){z=!1,me=null,Me=null,Ue=null,Ne=null,Ke=null,$e=null,lt=null,dt=null}}}let o=new i,l=new r,c=new a,h=new WeakMap,f=new WeakMap,p={},m={},g=new WeakMap,y=[],u=null,d=!1,_=null,x=null,v=null,A=null,w=null,b=null,T=null,M=new Se(0,0,0),S=0,N=!1,P=null,R=null,C=null,I=null,B=null,H=s.getParameter(s.MAX_COMBINED_TEXTURE_IMAGE_UNITS),X=!1,V=0,W=s.getParameter(s.VERSION);W.indexOf("WebGL")!==-1?(V=parseFloat(/^WebGL (\d)/.exec(W)[1]),X=V>=1):W.indexOf("OpenGL ES")!==-1&&(V=parseFloat(/^OpenGL ES (\d)/.exec(W)[1]),X=V>=2);let Y=null,te={},G=s.getParameter(s.SCISSOR_BOX),$=s.getParameter(s.VIEWPORT),ae=new st().fromArray(G),ge=new st().fromArray($);function ue(z,me,Me,Ue){let Ne=new Uint8Array(4),Ke=s.createTexture();s.bindTexture(z,Ke),s.texParameteri(z,s.TEXTURE_MIN_FILTER,s.NEAREST),s.texParameteri(z,s.TEXTURE_MAG_FILTER,s.NEAREST);for(let $e=0;$e<Me;$e++)n&&(z===s.TEXTURE_3D||z===s.TEXTURE_2D_ARRAY)?s.texImage3D(me,0,s.RGBA,1,1,Ue,0,s.RGBA,s.UNSIGNED_BYTE,Ne):s.texImage2D(me+$e,0,s.RGBA,1,1,0,s.RGBA,s.UNSIGNED_BYTE,Ne);return Ke}let oe={};oe[s.TEXTURE_2D]=ue(s.TEXTURE_2D,s.TEXTURE_2D,1),oe[s.TEXTURE_CUBE_MAP]=ue(s.TEXTURE_CUBE_MAP,s.TEXTURE_CUBE_MAP_POSITIVE_X,6),n&&(oe[s.TEXTURE_2D_ARRAY]=ue(s.TEXTURE_2D_ARRAY,s.TEXTURE_2D_ARRAY,1,1),oe[s.TEXTURE_3D]=ue(s.TEXTURE_3D,s.TEXTURE_3D,1,1)),o.setClear(0,0,0,1),l.setClear(1),c.setClear(0),ye(s.DEPTH_TEST),l.setFunc(er),xe(!1),L(ic),ye(s.CULL_FACE),j(On);function ye(z){p[z]!==!0&&(s.enable(z),p[z]=!0)}function de(z){p[z]!==!1&&(s.disable(z),p[z]=!1)}function Ce(z,me){return m[z]!==me?(s.bindFramebuffer(z,me),m[z]=me,n&&(z===s.DRAW_FRAMEBUFFER&&(m[s.FRAMEBUFFER]=me),z===s.FRAMEBUFFER&&(m[s.DRAW_FRAMEBUFFER]=me)),!0):!1}function F(z,me){let Me=y,Ue=!1;if(z)if(Me=g.get(me),Me===void 0&&(Me=[],g.set(me,Me)),z.isWebGLMultipleRenderTargets){let Ne=z.texture;if(Me.length!==Ne.length||Me[0]!==s.COLOR_ATTACHMENT0){for(let Ke=0,$e=Ne.length;Ke<$e;Ke++)Me[Ke]=s.COLOR_ATTACHMENT0+Ke;Me.length=Ne.length,Ue=!0}}else Me[0]!==s.COLOR_ATTACHMENT0&&(Me[0]=s.COLOR_ATTACHMENT0,Ue=!0);else Me[0]!==s.BACK&&(Me[0]=s.BACK,Ue=!0);Ue&&(t.isWebGL2?s.drawBuffers(Me):e.get("WEBGL_draw_buffers").drawBuffersWEBGL(Me))}function re(z){return u!==z?(s.useProgram(z),u=z,!0):!1}let Q={[$n]:s.FUNC_ADD,[Af]:s.FUNC_SUBTRACT,[Cf]:s.FUNC_REVERSE_SUBTRACT};if(n)Q[oc]=s.MIN,Q[lc]=s.MAX;else{let z=e.get("EXT_blend_minmax");z!==null&&(Q[oc]=z.MIN_EXT,Q[lc]=z.MAX_EXT)}let le={[Rf]:s.ZERO,[Pf]:s.ONE,[Lf]:s.SRC_COLOR,[Za]:s.SRC_ALPHA,[Ff]:s.SRC_ALPHA_SATURATE,[Uf]:s.DST_COLOR,[Df]:s.DST_ALPHA,[If]:s.ONE_MINUS_SRC_COLOR,[Ja]:s.ONE_MINUS_SRC_ALPHA,[Of]:s.ONE_MINUS_DST_COLOR,[Nf]:s.ONE_MINUS_DST_ALPHA,[Bf]:s.CONSTANT_COLOR,[zf]:s.ONE_MINUS_CONSTANT_COLOR,[kf]:s.CONSTANT_ALPHA,[Vf]:s.ONE_MINUS_CONSTANT_ALPHA};function j(z,me,Me,Ue,Ne,Ke,$e,lt,dt,Qe){if(z===On){d===!0&&(de(s.BLEND),d=!1);return}if(d===!1&&(ye(s.BLEND),d=!0),z!==Tf){if(z!==_||Qe!==N){if((x!==$n||w!==$n)&&(s.blendEquation(s.FUNC_ADD),x=$n,w=$n),Qe)switch(z){case Ri:s.blendFuncSeparate(s.ONE,s.ONE_MINUS_SRC_ALPHA,s.ONE,s.ONE_MINUS_SRC_ALPHA);break;case sc:s.blendFunc(s.ONE,s.ONE);break;case rc:s.blendFuncSeparate(s.ZERO,s.ONE_MINUS_SRC_COLOR,s.ZERO,s.ONE);break;case ac:s.blendFuncSeparate(s.ZERO,s.SRC_COLOR,s.ZERO,s.SRC_ALPHA);break;default:console.error("THREE.WebGLState: Invalid blending: ",z);break}else switch(z){case Ri:s.blendFuncSeparate(s.SRC_ALPHA,s.ONE_MINUS_SRC_ALPHA,s.ONE,s.ONE_MINUS_SRC_ALPHA);break;case sc:s.blendFunc(s.SRC_ALPHA,s.ONE);break;case rc:s.blendFuncSeparate(s.ZERO,s.ONE_MINUS_SRC_COLOR,s.ZERO,s.ONE);break;case ac:s.blendFunc(s.ZERO,s.SRC_COLOR);break;default:console.error("THREE.WebGLState: Invalid blending: ",z);break}v=null,A=null,b=null,T=null,M.set(0,0,0),S=0,_=z,N=Qe}return}Ne=Ne||me,Ke=Ke||Me,$e=$e||Ue,(me!==x||Ne!==w)&&(s.blendEquationSeparate(Q[me],Q[Ne]),x=me,w=Ne),(Me!==v||Ue!==A||Ke!==b||$e!==T)&&(s.blendFuncSeparate(le[Me],le[Ue],le[Ke],le[$e]),v=Me,A=Ue,b=Ke,T=$e),(lt.equals(M)===!1||dt!==S)&&(s.blendColor(lt.r,lt.g,lt.b,dt),M.copy(lt),S=dt),_=z,N=!1}function Re(z,me){z.side===mn?de(s.CULL_FACE):ye(s.CULL_FACE);let Me=z.side===Vt;me&&(Me=!Me),xe(Me),z.blending===Ri&&z.transparent===!1?j(On):j(z.blending,z.blendEquation,z.blendSrc,z.blendDst,z.blendEquationAlpha,z.blendSrcAlpha,z.blendDstAlpha,z.blendColor,z.blendAlpha,z.premultipliedAlpha),l.setFunc(z.depthFunc),l.setTest(z.depthTest),l.setMask(z.depthWrite),o.setMask(z.colorWrite);let Ue=z.stencilWrite;c.setTest(Ue),Ue&&(c.setMask(z.stencilWriteMask),c.setFunc(z.stencilFunc,z.stencilRef,z.stencilFuncMask),c.setOp(z.stencilFail,z.stencilZFail,z.stencilZPass)),k(z.polygonOffset,z.polygonOffsetFactor,z.polygonOffsetUnits),z.alphaToCoverage===!0?ye(s.SAMPLE_ALPHA_TO_COVERAGE):de(s.SAMPLE_ALPHA_TO_COVERAGE)}function xe(z){P!==z&&(z?s.frontFace(s.CW):s.frontFace(s.CCW),P=z)}function L(z){z!==Sf?(ye(s.CULL_FACE),z!==R&&(z===ic?s.cullFace(s.BACK):z===Ef?s.cullFace(s.FRONT):s.cullFace(s.FRONT_AND_BACK))):de(s.CULL_FACE),R=z}function E(z){z!==C&&(X&&s.lineWidth(z),C=z)}function k(z,me,Me){z?(ye(s.POLYGON_OFFSET_FILL),(I!==me||B!==Me)&&(s.polygonOffset(me,Me),I=me,B=Me)):de(s.POLYGON_OFFSET_FILL)}function ee(z){z?ye(s.SCISSOR_TEST):de(s.SCISSOR_TEST)}function ie(z){z===void 0&&(z=s.TEXTURE0+H-1),Y!==z&&(s.activeTexture(z),Y=z)}function se(z,me,Me){Me===void 0&&(Y===null?Me=s.TEXTURE0+H-1:Me=Y);let Ue=te[Me];Ue===void 0&&(Ue={type:void 0,texture:void 0},te[Me]=Ue),(Ue.type!==z||Ue.texture!==me)&&(Y!==Me&&(s.activeTexture(Me),Y=Me),s.bindTexture(z,me||oe[z]),Ue.type=z,Ue.texture=me)}function Te(){let z=te[Y];z!==void 0&&z.type!==void 0&&(s.bindTexture(z.type,null),z.type=void 0,z.texture=void 0)}function pe(){try{s.compressedTexImage2D.apply(s,arguments)}catch(z){console.error("THREE.WebGLState:",z)}}function ve(){try{s.compressedTexImage3D.apply(s,arguments)}catch(z){console.error("THREE.WebGLState:",z)}}function be(){try{s.texSubImage2D.apply(s,arguments)}catch(z){console.error("THREE.WebGLState:",z)}}function Fe(){try{s.texSubImage3D.apply(s,arguments)}catch(z){console.error("THREE.WebGLState:",z)}}function ce(){try{s.compressedTexSubImage2D.apply(s,arguments)}catch(z){console.error("THREE.WebGLState:",z)}}function je(){try{s.compressedTexSubImage3D.apply(s,arguments)}catch(z){console.error("THREE.WebGLState:",z)}}function qe(){try{s.texStorage2D.apply(s,arguments)}catch(z){console.error("THREE.WebGLState:",z)}}function ze(){try{s.texStorage3D.apply(s,arguments)}catch(z){console.error("THREE.WebGLState:",z)}}function De(){try{s.texImage2D.apply(s,arguments)}catch(z){console.error("THREE.WebGLState:",z)}}function Ee(){try{s.texImage3D.apply(s,arguments)}catch(z){console.error("THREE.WebGLState:",z)}}function O(z){ae.equals(z)===!1&&(s.scissor(z.x,z.y,z.z,z.w),ae.copy(z))}function fe(z){ge.equals(z)===!1&&(s.viewport(z.x,z.y,z.z,z.w),ge.copy(z))}function Le(z,me){let Me=f.get(me);Me===void 0&&(Me=new WeakMap,f.set(me,Me));let Ue=Me.get(z);Ue===void 0&&(Ue=s.getUniformBlockIndex(me,z.name),Me.set(z,Ue))}function Ae(z,me){let Ue=f.get(me).get(z);h.get(me)!==Ue&&(s.uniformBlockBinding(me,Ue,z.__bindingPointIndex),h.set(me,Ue))}function he(){s.disable(s.BLEND),s.disable(s.CULL_FACE),s.disable(s.DEPTH_TEST),s.disable(s.POLYGON_OFFSET_FILL),s.disable(s.SCISSOR_TEST),s.disable(s.STENCIL_TEST),s.disable(s.SAMPLE_ALPHA_TO_COVERAGE),s.blendEquation(s.FUNC_ADD),s.blendFunc(s.ONE,s.ZERO),s.blendFuncSeparate(s.ONE,s.ZERO,s.ONE,s.ZERO),s.blendColor(0,0,0,0),s.colorMask(!0,!0,!0,!0),s.clearColor(0,0,0,0),s.depthMask(!0),s.depthFunc(s.LESS),s.clearDepth(1),s.stencilMask(4294967295),s.stencilFunc(s.ALWAYS,0,4294967295),s.stencilOp(s.KEEP,s.KEEP,s.KEEP),s.clearStencil(0),s.cullFace(s.BACK),s.frontFace(s.CCW),s.polygonOffset(0,0),s.activeTexture(s.TEXTURE0),s.bindFramebuffer(s.FRAMEBUFFER,null),n===!0&&(s.bindFramebuffer(s.DRAW_FRAMEBUFFER,null),s.bindFramebuffer(s.READ_FRAMEBUFFER,null)),s.useProgram(null),s.lineWidth(1),s.scissor(0,0,s.canvas.width,s.canvas.height),s.viewport(0,0,s.canvas.width,s.canvas.height),p={},Y=null,te={},m={},g=new WeakMap,y=[],u=null,d=!1,_=null,x=null,v=null,A=null,w=null,b=null,T=null,M=new Se(0,0,0),S=0,N=!1,P=null,R=null,C=null,I=null,B=null,ae.set(0,0,s.canvas.width,s.canvas.height),ge.set(0,0,s.canvas.width,s.canvas.height),o.reset(),l.reset(),c.reset()}return{buffers:{color:o,depth:l,stencil:c},enable:ye,disable:de,bindFramebuffer:Ce,drawBuffers:F,useProgram:re,setBlending:j,setMaterial:Re,setFlipSided:xe,setCullFace:L,setLineWidth:E,setPolygonOffset:k,setScissorTest:ee,activeTexture:ie,bindTexture:se,unbindTexture:Te,compressedTexImage2D:pe,compressedTexImage3D:ve,texImage2D:De,texImage3D:Ee,updateUBOMapping:Le,uniformBlockBinding:Ae,texStorage2D:qe,texStorage3D:ze,texSubImage2D:be,texSubImage3D:Fe,compressedTexSubImage2D:ce,compressedTexSubImage3D:je,scissor:O,viewport:fe,reset:he}}function nv(s,e,t,n,i,r,a){let o=i.isWebGL2,l=e.has("WEBGL_multisampled_render_to_texture")?e.get("WEBGL_multisampled_render_to_texture"):null,c=typeof navigator>"u"?!1:/OculusBrowser/g.test(navigator.userAgent),h=new WeakMap,f,p=new WeakMap,m=!1;try{m=typeof OffscreenCanvas<"u"&&new OffscreenCanvas(1,1).getContext("2d")!==null}catch{}function g(L,E){return m?new OffscreenCanvas(L,E):dr("canvas")}function y(L,E,k,ee){let ie=1;if((L.width>ee||L.height>ee)&&(ie=ee/Math.max(L.width,L.height)),ie<1||E===!0)if(typeof HTMLImageElement<"u"&&L instanceof HTMLImageElement||typeof HTMLCanvasElement<"u"&&L instanceof HTMLCanvasElement||typeof ImageBitmap<"u"&&L instanceof ImageBitmap){let se=E?ja:Math.floor,Te=se(ie*L.width),pe=se(ie*L.height);f===void 0&&(f=g(Te,pe));let ve=k?g(Te,pe):f;return ve.width=Te,ve.height=pe,ve.getContext("2d").drawImage(L,0,0,Te,pe),console.warn("THREE.WebGLRenderer: Texture has been resized from ("+L.width+"x"+L.height+") to ("+Te+"x"+pe+")."),ve}else return"data"in L&&console.warn("THREE.WebGLRenderer: Image in DataTexture is too big ("+L.width+"x"+L.height+")."),L;return L}function u(L){return Fc(L.width)&&Fc(L.height)}function d(L){return o?!1:L.wrapS!==Ot||L.wrapT!==Ot||L.minFilter!==mt&&L.minFilter!==yt}function _(L,E){return L.generateMipmaps&&E&&L.minFilter!==mt&&L.minFilter!==yt}function x(L){s.generateMipmap(L)}function v(L,E,k,ee,ie=!1){if(o===!1)return E;if(L!==null){if(s[L]!==void 0)return s[L];console.warn("THREE.WebGLRenderer: Attempt to use non-existing WebGL internal format '"+L+"'")}let se=E;if(E===s.RED&&(k===s.FLOAT&&(se=s.R32F),k===s.HALF_FLOAT&&(se=s.R16F),k===s.UNSIGNED_BYTE&&(se=s.R8)),E===s.RED_INTEGER&&(k===s.UNSIGNED_BYTE&&(se=s.R8UI),k===s.UNSIGNED_SHORT&&(se=s.R16UI),k===s.UNSIGNED_INT&&(se=s.R32UI),k===s.BYTE&&(se=s.R8I),k===s.SHORT&&(se=s.R16I),k===s.INT&&(se=s.R32I)),E===s.RG&&(k===s.FLOAT&&(se=s.RG32F),k===s.HALF_FLOAT&&(se=s.RG16F),k===s.UNSIGNED_BYTE&&(se=s.RG8)),E===s.RGBA){let Te=ie?lr:it.getTransfer(ee);k===s.FLOAT&&(se=s.RGBA32F),k===s.HALF_FLOAT&&(se=s.RGBA16F),k===s.UNSIGNED_BYTE&&(se=Te===rt?s.SRGB8_ALPHA8:s.RGBA8),k===s.UNSIGNED_SHORT_4_4_4_4&&(se=s.RGBA4),k===s.UNSIGNED_SHORT_5_5_5_1&&(se=s.RGB5_A1)}return(se===s.R16F||se===s.R32F||se===s.RG16F||se===s.RG32F||se===s.RGBA16F||se===s.RGBA32F)&&e.get("EXT_color_buffer_float"),se}function A(L,E,k){return _(L,k)===!0||L.isFramebufferTexture&&L.minFilter!==mt&&L.minFilter!==yt?Math.log2(Math.max(E.width,E.height))+1:L.mipmaps!==void 0&&L.mipmaps.length>0?L.mipmaps.length:L.isCompressedTexture&&Array.isArray(L.image)?E.mipmaps.length:1}function w(L){return L===mt||L===Ka||L===Zs?s.NEAREST:s.LINEAR}function b(L){let E=L.target;E.removeEventListener("dispose",b),M(E),E.isVideoTexture&&h.delete(E)}function T(L){let E=L.target;E.removeEventListener("dispose",T),N(E)}function M(L){let E=n.get(L);if(E.__webglInit===void 0)return;let k=L.source,ee=p.get(k);if(ee){let ie=ee[E.__cacheKey];ie.usedTimes--,ie.usedTimes===0&&S(L),Object.keys(ee).length===0&&p.delete(k)}n.remove(L)}function S(L){let E=n.get(L);s.deleteTexture(E.__webglTexture);let k=L.source,ee=p.get(k);delete ee[E.__cacheKey],a.memory.textures--}function N(L){let E=L.texture,k=n.get(L),ee=n.get(E);if(ee.__webglTexture!==void 0&&(s.deleteTexture(ee.__webglTexture),a.memory.textures--),L.depthTexture&&L.depthTexture.dispose(),L.isWebGLCubeRenderTarget)for(let ie=0;ie<6;ie++){if(Array.isArray(k.__webglFramebuffer[ie]))for(let se=0;se<k.__webglFramebuffer[ie].length;se++)s.deleteFramebuffer(k.__webglFramebuffer[ie][se]);else s.deleteFramebuffer(k.__webglFramebuffer[ie]);k.__webglDepthbuffer&&s.deleteRenderbuffer(k.__webglDepthbuffer[ie])}else{if(Array.isArray(k.__webglFramebuffer))for(let ie=0;ie<k.__webglFramebuffer.length;ie++)s.deleteFramebuffer(k.__webglFramebuffer[ie]);else s.deleteFramebuffer(k.__webglFramebuffer);if(k.__webglDepthbuffer&&s.deleteRenderbuffer(k.__webglDepthbuffer),k.__webglMultisampledFramebuffer&&s.deleteFramebuffer(k.__webglMultisampledFramebuffer),k.__webglColorRenderbuffer)for(let ie=0;ie<k.__webglColorRenderbuffer.length;ie++)k.__webglColorRenderbuffer[ie]&&s.deleteRenderbuffer(k.__webglColorRenderbuffer[ie]);k.__webglDepthRenderbuffer&&s.deleteRenderbuffer(k.__webglDepthRenderbuffer)}if(L.isWebGLMultipleRenderTargets)for(let ie=0,se=E.length;ie<se;ie++){let Te=n.get(E[ie]);Te.__webglTexture&&(s.deleteTexture(Te.__webglTexture),a.memory.textures--),n.remove(E[ie])}n.remove(E),n.remove(L)}let P=0;function R(){P=0}function C(){let L=P;return L>=i.maxTextures&&console.warn("THREE.WebGLTextures: Trying to use "+L+" texture units while this GPU supports only "+i.maxTextures),P+=1,L}function I(L){let E=[];return E.push(L.wrapS),E.push(L.wrapT),E.push(L.wrapR||0),E.push(L.magFilter),E.push(L.minFilter),E.push(L.anisotropy),E.push(L.internalFormat),E.push(L.format),E.push(L.type),E.push(L.generateMipmaps),E.push(L.premultiplyAlpha),E.push(L.flipY),E.push(L.unpackAlignment),E.push(L.colorSpace),E.join()}function B(L,E){let k=n.get(L);if(L.isVideoTexture&&Re(L),L.isRenderTargetTexture===!1&&L.version>0&&k.__version!==L.version){let ee=L.image;if(ee===null)console.warn("THREE.WebGLRenderer: Texture marked for update but no image data found.");else if(ee.complete===!1)console.warn("THREE.WebGLRenderer: Texture marked for update but image is incomplete");else{ae(k,L,E);return}}t.bindTexture(s.TEXTURE_2D,k.__webglTexture,s.TEXTURE0+E)}function H(L,E){let k=n.get(L);if(L.version>0&&k.__version!==L.version){ae(k,L,E);return}t.bindTexture(s.TEXTURE_2D_ARRAY,k.__webglTexture,s.TEXTURE0+E)}function X(L,E){let k=n.get(L);if(L.version>0&&k.__version!==L.version){ae(k,L,E);return}t.bindTexture(s.TEXTURE_3D,k.__webglTexture,s.TEXTURE0+E)}function V(L,E){let k=n.get(L);if(L.version>0&&k.__version!==L.version){ge(k,L,E);return}t.bindTexture(s.TEXTURE_CUBE_MAP,k.__webglTexture,s.TEXTURE0+E)}let W={[ir]:s.REPEAT,[Ot]:s.CLAMP_TO_EDGE,[sr]:s.MIRRORED_REPEAT},Y={[mt]:s.NEAREST,[Ka]:s.NEAREST_MIPMAP_NEAREST,[Zs]:s.NEAREST_MIPMAP_LINEAR,[yt]:s.LINEAR,[eu]:s.LINEAR_MIPMAP_NEAREST,[ii]:s.LINEAR_MIPMAP_LINEAR},te={[_p]:s.NEVER,[Ep]:s.ALWAYS,[xp]:s.LESS,[hu]:s.LEQUAL,[vp]:s.EQUAL,[Sp]:s.GEQUAL,[Mp]:s.GREATER,[bp]:s.NOTEQUAL};function G(L,E,k){if(k?(s.texParameteri(L,s.TEXTURE_WRAP_S,W[E.wrapS]),s.texParameteri(L,s.TEXTURE_WRAP_T,W[E.wrapT]),(L===s.TEXTURE_3D||L===s.TEXTURE_2D_ARRAY)&&s.texParameteri(L,s.TEXTURE_WRAP_R,W[E.wrapR]),s.texParameteri(L,s.TEXTURE_MAG_FILTER,Y[E.magFilter]),s.texParameteri(L,s.TEXTURE_MIN_FILTER,Y[E.minFilter])):(s.texParameteri(L,s.TEXTURE_WRAP_S,s.CLAMP_TO_EDGE),s.texParameteri(L,s.TEXTURE_WRAP_T,s.CLAMP_TO_EDGE),(L===s.TEXTURE_3D||L===s.TEXTURE_2D_ARRAY)&&s.texParameteri(L,s.TEXTURE_WRAP_R,s.CLAMP_TO_EDGE),(E.wrapS!==Ot||E.wrapT!==Ot)&&console.warn("THREE.WebGLRenderer: Texture is not power of two. Texture.wrapS and Texture.wrapT should be set to THREE.ClampToEdgeWrapping."),s.texParameteri(L,s.TEXTURE_MAG_FILTER,w(E.magFilter)),s.texParameteri(L,s.TEXTURE_MIN_FILTER,w(E.minFilter)),E.minFilter!==mt&&E.minFilter!==yt&&console.warn("THREE.WebGLRenderer: Texture is not power of two. Texture.minFilter should be set to THREE.NearestFilter or THREE.LinearFilter.")),E.compareFunction&&(s.texParameteri(L,s.TEXTURE_COMPARE_MODE,s.COMPARE_REF_TO_TEXTURE),s.texParameteri(L,s.TEXTURE_COMPARE_FUNC,te[E.compareFunction])),e.has("EXT_texture_filter_anisotropic")===!0){let ee=e.get("EXT_texture_filter_anisotropic");if(E.magFilter===mt||E.minFilter!==Zs&&E.minFilter!==ii||E.type===cn&&e.has("OES_texture_float_linear")===!1||o===!1&&E.type===ys&&e.has("OES_texture_half_float_linear")===!1)return;(E.anisotropy>1||n.get(E).__currentAnisotropy)&&(s.texParameterf(L,ee.TEXTURE_MAX_ANISOTROPY_EXT,Math.min(E.anisotropy,i.getMaxAnisotropy())),n.get(E).__currentAnisotropy=E.anisotropy)}}function $(L,E){let k=!1;L.__webglInit===void 0&&(L.__webglInit=!0,E.addEventListener("dispose",b));let ee=E.source,ie=p.get(ee);ie===void 0&&(ie={},p.set(ee,ie));let se=I(E);if(se!==L.__cacheKey){ie[se]===void 0&&(ie[se]={texture:s.createTexture(),usedTimes:0},a.memory.textures++,k=!0),ie[se].usedTimes++;let Te=ie[L.__cacheKey];Te!==void 0&&(ie[L.__cacheKey].usedTimes--,Te.usedTimes===0&&S(E)),L.__cacheKey=se,L.__webglTexture=ie[se].texture}return k}function ae(L,E,k){let ee=s.TEXTURE_2D;(E.isDataArrayTexture||E.isCompressedArrayTexture)&&(ee=s.TEXTURE_2D_ARRAY),E.isData3DTexture&&(ee=s.TEXTURE_3D);let ie=$(L,E),se=E.source;t.bindTexture(ee,L.__webglTexture,s.TEXTURE0+k);let Te=n.get(se);if(se.version!==Te.__version||ie===!0){t.activeTexture(s.TEXTURE0+k);let pe=it.getPrimaries(it.workingColorSpace),ve=E.colorSpace===Zt?null:it.getPrimaries(E.colorSpace),be=E.colorSpace===Zt||pe===ve?s.NONE:s.BROWSER_DEFAULT_WEBGL;s.pixelStorei(s.UNPACK_FLIP_Y_WEBGL,E.flipY),s.pixelStorei(s.UNPACK_PREMULTIPLY_ALPHA_WEBGL,E.premultiplyAlpha),s.pixelStorei(s.UNPACK_ALIGNMENT,E.unpackAlignment),s.pixelStorei(s.UNPACK_COLORSPACE_CONVERSION_WEBGL,be);let Fe=d(E)&&u(E.image)===!1,ce=y(E.image,Fe,!1,i.maxTextureSize);ce=xe(E,ce);let je=u(ce)||o,qe=r.convert(E.format,E.colorSpace),ze=r.convert(E.type),De=v(E.internalFormat,qe,ze,E.colorSpace,E.isVideoTexture);G(ee,E,je);let Ee,O=E.mipmaps,fe=o&&E.isVideoTexture!==!0&&De!==ou,Le=Te.__version===void 0||ie===!0,Ae=A(E,ce,je);if(E.isDepthTexture)De=s.DEPTH_COMPONENT,o?E.type===cn?De=s.DEPTH_COMPONENT32F:E.type===In?De=s.DEPTH_COMPONENT24:E.type===Qn?De=s.DEPTH24_STENCIL8:De=s.DEPTH_COMPONENT16:E.type===cn&&console.error("WebGLRenderer: Floating point depth texture requires WebGL2."),E.format===ei&&De===s.DEPTH_COMPONENT&&E.type!==ol&&E.type!==In&&(console.warn("THREE.WebGLRenderer: Use UnsignedShortType or UnsignedIntType for DepthFormat DepthTexture."),E.type=In,ze=r.convert(E.type)),E.format===Li&&De===s.DEPTH_COMPONENT&&(De=s.DEPTH_STENCIL,E.type!==Qn&&(console.warn("THREE.WebGLRenderer: Use UnsignedInt248Type for DepthStencilFormat DepthTexture."),E.type=Qn,ze=r.convert(E.type))),Le&&(fe?t.texStorage2D(s.TEXTURE_2D,1,De,ce.width,ce.height):t.texImage2D(s.TEXTURE_2D,0,De,ce.width,ce.height,0,qe,ze,null));else if(E.isDataTexture)if(O.length>0&&je){fe&&Le&&t.texStorage2D(s.TEXTURE_2D,Ae,De,O[0].width,O[0].height);for(let he=0,z=O.length;he<z;he++)Ee=O[he],fe?t.texSubImage2D(s.TEXTURE_2D,he,0,0,Ee.width,Ee.height,qe,ze,Ee.data):t.texImage2D(s.TEXTURE_2D,he,De,Ee.width,Ee.height,0,qe,ze,Ee.data);E.generateMipmaps=!1}else fe?(Le&&t.texStorage2D(s.TEXTURE_2D,Ae,De,ce.width,ce.height),t.texSubImage2D(s.TEXTURE_2D,0,0,0,ce.width,ce.height,qe,ze,ce.data)):t.texImage2D(s.TEXTURE_2D,0,De,ce.width,ce.height,0,qe,ze,ce.data);else if(E.isCompressedTexture)if(E.isCompressedArrayTexture){fe&&Le&&t.texStorage3D(s.TEXTURE_2D_ARRAY,Ae,De,O[0].width,O[0].height,ce.depth);for(let he=0,z=O.length;he<z;he++)Ee=O[he],E.format!==Ft?qe!==null?fe?t.compressedTexSubImage3D(s.TEXTURE_2D_ARRAY,he,0,0,0,Ee.width,Ee.height,ce.depth,qe,Ee.data,0,0):t.compressedTexImage3D(s.TEXTURE_2D_ARRAY,he,De,Ee.width,Ee.height,ce.depth,0,Ee.data,0,0):console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()"):fe?t.texSubImage3D(s.TEXTURE_2D_ARRAY,he,0,0,0,Ee.width,Ee.height,ce.depth,qe,ze,Ee.data):t.texImage3D(s.TEXTURE_2D_ARRAY,he,De,Ee.width,Ee.height,ce.depth,0,qe,ze,Ee.data)}else{fe&&Le&&t.texStorage2D(s.TEXTURE_2D,Ae,De,O[0].width,O[0].height);for(let he=0,z=O.length;he<z;he++)Ee=O[he],E.format!==Ft?qe!==null?fe?t.compressedTexSubImage2D(s.TEXTURE_2D,he,0,0,Ee.width,Ee.height,qe,Ee.data):t.compressedTexImage2D(s.TEXTURE_2D,he,De,Ee.width,Ee.height,0,Ee.data):console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()"):fe?t.texSubImage2D(s.TEXTURE_2D,he,0,0,Ee.width,Ee.height,qe,ze,Ee.data):t.texImage2D(s.TEXTURE_2D,he,De,Ee.width,Ee.height,0,qe,ze,Ee.data)}else if(E.isDataArrayTexture)fe?(Le&&t.texStorage3D(s.TEXTURE_2D_ARRAY,Ae,De,ce.width,ce.height,ce.depth),t.texSubImage3D(s.TEXTURE_2D_ARRAY,0,0,0,0,ce.width,ce.height,ce.depth,qe,ze,ce.data)):t.texImage3D(s.TEXTURE_2D_ARRAY,0,De,ce.width,ce.height,ce.depth,0,qe,ze,ce.data);else if(E.isData3DTexture)fe?(Le&&t.texStorage3D(s.TEXTURE_3D,Ae,De,ce.width,ce.height,ce.depth),t.texSubImage3D(s.TEXTURE_3D,0,0,0,0,ce.width,ce.height,ce.depth,qe,ze,ce.data)):t.texImage3D(s.TEXTURE_3D,0,De,ce.width,ce.height,ce.depth,0,qe,ze,ce.data);else if(E.isFramebufferTexture){if(Le)if(fe)t.texStorage2D(s.TEXTURE_2D,Ae,De,ce.width,ce.height);else{let he=ce.width,z=ce.height;for(let me=0;me<Ae;me++)t.texImage2D(s.TEXTURE_2D,me,De,he,z,0,qe,ze,null),he>>=1,z>>=1}}else if(O.length>0&&je){fe&&Le&&t.texStorage2D(s.TEXTURE_2D,Ae,De,O[0].width,O[0].height);for(let he=0,z=O.length;he<z;he++)Ee=O[he],fe?t.texSubImage2D(s.TEXTURE_2D,he,0,0,qe,ze,Ee):t.texImage2D(s.TEXTURE_2D,he,De,qe,ze,Ee);E.generateMipmaps=!1}else fe?(Le&&t.texStorage2D(s.TEXTURE_2D,Ae,De,ce.width,ce.height),t.texSubImage2D(s.TEXTURE_2D,0,0,0,qe,ze,ce)):t.texImage2D(s.TEXTURE_2D,0,De,qe,ze,ce);_(E,je)&&x(ee),Te.__version=se.version,E.onUpdate&&E.onUpdate(E)}L.__version=E.version}function ge(L,E,k){if(E.image.length!==6)return;let ee=$(L,E),ie=E.source;t.bindTexture(s.TEXTURE_CUBE_MAP,L.__webglTexture,s.TEXTURE0+k);let se=n.get(ie);if(ie.version!==se.__version||ee===!0){t.activeTexture(s.TEXTURE0+k);let Te=it.getPrimaries(it.workingColorSpace),pe=E.colorSpace===Zt?null:it.getPrimaries(E.colorSpace),ve=E.colorSpace===Zt||Te===pe?s.NONE:s.BROWSER_DEFAULT_WEBGL;s.pixelStorei(s.UNPACK_FLIP_Y_WEBGL,E.flipY),s.pixelStorei(s.UNPACK_PREMULTIPLY_ALPHA_WEBGL,E.premultiplyAlpha),s.pixelStorei(s.UNPACK_ALIGNMENT,E.unpackAlignment),s.pixelStorei(s.UNPACK_COLORSPACE_CONVERSION_WEBGL,ve);let be=E.isCompressedTexture||E.image[0].isCompressedTexture,Fe=E.image[0]&&E.image[0].isDataTexture,ce=[];for(let he=0;he<6;he++)!be&&!Fe?ce[he]=y(E.image[he],!1,!0,i.maxCubemapSize):ce[he]=Fe?E.image[he].image:E.image[he],ce[he]=xe(E,ce[he]);let je=ce[0],qe=u(je)||o,ze=r.convert(E.format,E.colorSpace),De=r.convert(E.type),Ee=v(E.internalFormat,ze,De,E.colorSpace),O=o&&E.isVideoTexture!==!0,fe=se.__version===void 0||ee===!0,Le=A(E,je,qe);G(s.TEXTURE_CUBE_MAP,E,qe);let Ae;if(be){O&&fe&&t.texStorage2D(s.TEXTURE_CUBE_MAP,Le,Ee,je.width,je.height);for(let he=0;he<6;he++){Ae=ce[he].mipmaps;for(let z=0;z<Ae.length;z++){let me=Ae[z];E.format!==Ft?ze!==null?O?t.compressedTexSubImage2D(s.TEXTURE_CUBE_MAP_POSITIVE_X+he,z,0,0,me.width,me.height,ze,me.data):t.compressedTexImage2D(s.TEXTURE_CUBE_MAP_POSITIVE_X+he,z,Ee,me.width,me.height,0,me.data):console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .setTextureCube()"):O?t.texSubImage2D(s.TEXTURE_CUBE_MAP_POSITIVE_X+he,z,0,0,me.width,me.height,ze,De,me.data):t.texImage2D(s.TEXTURE_CUBE_MAP_POSITIVE_X+he,z,Ee,me.width,me.height,0,ze,De,me.data)}}}else{Ae=E.mipmaps,O&&fe&&(Ae.length>0&&Le++,t.texStorage2D(s.TEXTURE_CUBE_MAP,Le,Ee,ce[0].width,ce[0].height));for(let he=0;he<6;he++)if(Fe){O?t.texSubImage2D(s.TEXTURE_CUBE_MAP_POSITIVE_X+he,0,0,0,ce[he].width,ce[he].height,ze,De,ce[he].data):t.texImage2D(s.TEXTURE_CUBE_MAP_POSITIVE_X+he,0,Ee,ce[he].width,ce[he].height,0,ze,De,ce[he].data);for(let z=0;z<Ae.length;z++){let Me=Ae[z].image[he].image;O?t.texSubImage2D(s.TEXTURE_CUBE_MAP_POSITIVE_X+he,z+1,0,0,Me.width,Me.height,ze,De,Me.data):t.texImage2D(s.TEXTURE_CUBE_MAP_POSITIVE_X+he,z+1,Ee,Me.width,Me.height,0,ze,De,Me.data)}}else{O?t.texSubImage2D(s.TEXTURE_CUBE_MAP_POSITIVE_X+he,0,0,0,ze,De,ce[he]):t.texImage2D(s.TEXTURE_CUBE_MAP_POSITIVE_X+he,0,Ee,ze,De,ce[he]);for(let z=0;z<Ae.length;z++){let me=Ae[z];O?t.texSubImage2D(s.TEXTURE_CUBE_MAP_POSITIVE_X+he,z+1,0,0,ze,De,me.image[he]):t.texImage2D(s.TEXTURE_CUBE_MAP_POSITIVE_X+he,z+1,Ee,ze,De,me.image[he])}}}_(E,qe)&&x(s.TEXTURE_CUBE_MAP),se.__version=ie.version,E.onUpdate&&E.onUpdate(E)}L.__version=E.version}function ue(L,E,k,ee,ie,se){let Te=r.convert(k.format,k.colorSpace),pe=r.convert(k.type),ve=v(k.internalFormat,Te,pe,k.colorSpace);if(!n.get(E).__hasExternalTextures){let Fe=Math.max(1,E.width>>se),ce=Math.max(1,E.height>>se);ie===s.TEXTURE_3D||ie===s.TEXTURE_2D_ARRAY?t.texImage3D(ie,se,ve,Fe,ce,E.depth,0,Te,pe,null):t.texImage2D(ie,se,ve,Fe,ce,0,Te,pe,null)}t.bindFramebuffer(s.FRAMEBUFFER,L),j(E)?l.framebufferTexture2DMultisampleEXT(s.FRAMEBUFFER,ee,ie,n.get(k).__webglTexture,0,le(E)):(ie===s.TEXTURE_2D||ie>=s.TEXTURE_CUBE_MAP_POSITIVE_X&&ie<=s.TEXTURE_CUBE_MAP_NEGATIVE_Z)&&s.framebufferTexture2D(s.FRAMEBUFFER,ee,ie,n.get(k).__webglTexture,se),t.bindFramebuffer(s.FRAMEBUFFER,null)}function oe(L,E,k){if(s.bindRenderbuffer(s.RENDERBUFFER,L),E.depthBuffer&&!E.stencilBuffer){let ee=o===!0?s.DEPTH_COMPONENT24:s.DEPTH_COMPONENT16;if(k||j(E)){let ie=E.depthTexture;ie&&ie.isDepthTexture&&(ie.type===cn?ee=s.DEPTH_COMPONENT32F:ie.type===In&&(ee=s.DEPTH_COMPONENT24));let se=le(E);j(E)?l.renderbufferStorageMultisampleEXT(s.RENDERBUFFER,se,ee,E.width,E.height):s.renderbufferStorageMultisample(s.RENDERBUFFER,se,ee,E.width,E.height)}else s.renderbufferStorage(s.RENDERBUFFER,ee,E.width,E.height);s.framebufferRenderbuffer(s.FRAMEBUFFER,s.DEPTH_ATTACHMENT,s.RENDERBUFFER,L)}else if(E.depthBuffer&&E.stencilBuffer){let ee=le(E);k&&j(E)===!1?s.renderbufferStorageMultisample(s.RENDERBUFFER,ee,s.DEPTH24_STENCIL8,E.width,E.height):j(E)?l.renderbufferStorageMultisampleEXT(s.RENDERBUFFER,ee,s.DEPTH24_STENCIL8,E.width,E.height):s.renderbufferStorage(s.RENDERBUFFER,s.DEPTH_STENCIL,E.width,E.height),s.framebufferRenderbuffer(s.FRAMEBUFFER,s.DEPTH_STENCIL_ATTACHMENT,s.RENDERBUFFER,L)}else{let ee=E.isWebGLMultipleRenderTargets===!0?E.texture:[E.texture];for(let ie=0;ie<ee.length;ie++){let se=ee[ie],Te=r.convert(se.format,se.colorSpace),pe=r.convert(se.type),ve=v(se.internalFormat,Te,pe,se.colorSpace),be=le(E);k&&j(E)===!1?s.renderbufferStorageMultisample(s.RENDERBUFFER,be,ve,E.width,E.height):j(E)?l.renderbufferStorageMultisampleEXT(s.RENDERBUFFER,be,ve,E.width,E.height):s.renderbufferStorage(s.RENDERBUFFER,ve,E.width,E.height)}}s.bindRenderbuffer(s.RENDERBUFFER,null)}function ye(L,E){if(E&&E.isWebGLCubeRenderTarget)throw new Error("Depth Texture with cube render targets is not supported");if(t.bindFramebuffer(s.FRAMEBUFFER,L),!(E.depthTexture&&E.depthTexture.isDepthTexture))throw new Error("renderTarget.depthTexture must be an instance of THREE.DepthTexture");(!n.get(E.depthTexture).__webglTexture||E.depthTexture.image.width!==E.width||E.depthTexture.image.height!==E.height)&&(E.depthTexture.image.width=E.width,E.depthTexture.image.height=E.height,E.depthTexture.needsUpdate=!0),B(E.depthTexture,0);let ee=n.get(E.depthTexture).__webglTexture,ie=le(E);if(E.depthTexture.format===ei)j(E)?l.framebufferTexture2DMultisampleEXT(s.FRAMEBUFFER,s.DEPTH_ATTACHMENT,s.TEXTURE_2D,ee,0,ie):s.framebufferTexture2D(s.FRAMEBUFFER,s.DEPTH_ATTACHMENT,s.TEXTURE_2D,ee,0);else if(E.depthTexture.format===Li)j(E)?l.framebufferTexture2DMultisampleEXT(s.FRAMEBUFFER,s.DEPTH_STENCIL_ATTACHMENT,s.TEXTURE_2D,ee,0,ie):s.framebufferTexture2D(s.FRAMEBUFFER,s.DEPTH_STENCIL_ATTACHMENT,s.TEXTURE_2D,ee,0);else throw new Error("Unknown depthTexture format")}function de(L){let E=n.get(L),k=L.isWebGLCubeRenderTarget===!0;if(L.depthTexture&&!E.__autoAllocateDepthBuffer){if(k)throw new Error("target.depthTexture not supported in Cube render targets");ye(E.__webglFramebuffer,L)}else if(k){E.__webglDepthbuffer=[];for(let ee=0;ee<6;ee++)t.bindFramebuffer(s.FRAMEBUFFER,E.__webglFramebuffer[ee]),E.__webglDepthbuffer[ee]=s.createRenderbuffer(),oe(E.__webglDepthbuffer[ee],L,!1)}else t.bindFramebuffer(s.FRAMEBUFFER,E.__webglFramebuffer),E.__webglDepthbuffer=s.createRenderbuffer(),oe(E.__webglDepthbuffer,L,!1);t.bindFramebuffer(s.FRAMEBUFFER,null)}function Ce(L,E,k){let ee=n.get(L);E!==void 0&&ue(ee.__webglFramebuffer,L,L.texture,s.COLOR_ATTACHMENT0,s.TEXTURE_2D,0),k!==void 0&&de(L)}function F(L){let E=L.texture,k=n.get(L),ee=n.get(E);L.addEventListener("dispose",T),L.isWebGLMultipleRenderTargets!==!0&&(ee.__webglTexture===void 0&&(ee.__webglTexture=s.createTexture()),ee.__version=E.version,a.memory.textures++);let ie=L.isWebGLCubeRenderTarget===!0,se=L.isWebGLMultipleRenderTargets===!0,Te=u(L)||o;if(ie){k.__webglFramebuffer=[];for(let pe=0;pe<6;pe++)if(o&&E.mipmaps&&E.mipmaps.length>0){k.__webglFramebuffer[pe]=[];for(let ve=0;ve<E.mipmaps.length;ve++)k.__webglFramebuffer[pe][ve]=s.createFramebuffer()}else k.__webglFramebuffer[pe]=s.createFramebuffer()}else{if(o&&E.mipmaps&&E.mipmaps.length>0){k.__webglFramebuffer=[];for(let pe=0;pe<E.mipmaps.length;pe++)k.__webglFramebuffer[pe]=s.createFramebuffer()}else k.__webglFramebuffer=s.createFramebuffer();if(se)if(i.drawBuffers){let pe=L.texture;for(let ve=0,be=pe.length;ve<be;ve++){let Fe=n.get(pe[ve]);Fe.__webglTexture===void 0&&(Fe.__webglTexture=s.createTexture(),a.memory.textures++)}}else console.warn("THREE.WebGLRenderer: WebGLMultipleRenderTargets can only be used with WebGL2 or WEBGL_draw_buffers extension.");if(o&&L.samples>0&&j(L)===!1){let pe=se?E:[E];k.__webglMultisampledFramebuffer=s.createFramebuffer(),k.__webglColorRenderbuffer=[],t.bindFramebuffer(s.FRAMEBUFFER,k.__webglMultisampledFramebuffer);for(let ve=0;ve<pe.length;ve++){let be=pe[ve];k.__webglColorRenderbuffer[ve]=s.createRenderbuffer(),s.bindRenderbuffer(s.RENDERBUFFER,k.__webglColorRenderbuffer[ve]);let Fe=r.convert(be.format,be.colorSpace),ce=r.convert(be.type),je=v(be.internalFormat,Fe,ce,be.colorSpace,L.isXRRenderTarget===!0),qe=le(L);s.renderbufferStorageMultisample(s.RENDERBUFFER,qe,je,L.width,L.height),s.framebufferRenderbuffer(s.FRAMEBUFFER,s.COLOR_ATTACHMENT0+ve,s.RENDERBUFFER,k.__webglColorRenderbuffer[ve])}s.bindRenderbuffer(s.RENDERBUFFER,null),L.depthBuffer&&(k.__webglDepthRenderbuffer=s.createRenderbuffer(),oe(k.__webglDepthRenderbuffer,L,!0)),t.bindFramebuffer(s.FRAMEBUFFER,null)}}if(ie){t.bindTexture(s.TEXTURE_CUBE_MAP,ee.__webglTexture),G(s.TEXTURE_CUBE_MAP,E,Te);for(let pe=0;pe<6;pe++)if(o&&E.mipmaps&&E.mipmaps.length>0)for(let ve=0;ve<E.mipmaps.length;ve++)ue(k.__webglFramebuffer[pe][ve],L,E,s.COLOR_ATTACHMENT0,s.TEXTURE_CUBE_MAP_POSITIVE_X+pe,ve);else ue(k.__webglFramebuffer[pe],L,E,s.COLOR_ATTACHMENT0,s.TEXTURE_CUBE_MAP_POSITIVE_X+pe,0);_(E,Te)&&x(s.TEXTURE_CUBE_MAP),t.unbindTexture()}else if(se){let pe=L.texture;for(let ve=0,be=pe.length;ve<be;ve++){let Fe=pe[ve],ce=n.get(Fe);t.bindTexture(s.TEXTURE_2D,ce.__webglTexture),G(s.TEXTURE_2D,Fe,Te),ue(k.__webglFramebuffer,L,Fe,s.COLOR_ATTACHMENT0+ve,s.TEXTURE_2D,0),_(Fe,Te)&&x(s.TEXTURE_2D)}t.unbindTexture()}else{let pe=s.TEXTURE_2D;if((L.isWebGL3DRenderTarget||L.isWebGLArrayRenderTarget)&&(o?pe=L.isWebGL3DRenderTarget?s.TEXTURE_3D:s.TEXTURE_2D_ARRAY:console.error("THREE.WebGLTextures: THREE.Data3DTexture and THREE.DataArrayTexture only supported with WebGL2.")),t.bindTexture(pe,ee.__webglTexture),G(pe,E,Te),o&&E.mipmaps&&E.mipmaps.length>0)for(let ve=0;ve<E.mipmaps.length;ve++)ue(k.__webglFramebuffer[ve],L,E,s.COLOR_ATTACHMENT0,pe,ve);else ue(k.__webglFramebuffer,L,E,s.COLOR_ATTACHMENT0,pe,0);_(E,Te)&&x(pe),t.unbindTexture()}L.depthBuffer&&de(L)}function re(L){let E=u(L)||o,k=L.isWebGLMultipleRenderTargets===!0?L.texture:[L.texture];for(let ee=0,ie=k.length;ee<ie;ee++){let se=k[ee];if(_(se,E)){let Te=L.isWebGLCubeRenderTarget?s.TEXTURE_CUBE_MAP:s.TEXTURE_2D,pe=n.get(se).__webglTexture;t.bindTexture(Te,pe),x(Te),t.unbindTexture()}}}function Q(L){if(o&&L.samples>0&&j(L)===!1){let E=L.isWebGLMultipleRenderTargets?L.texture:[L.texture],k=L.width,ee=L.height,ie=s.COLOR_BUFFER_BIT,se=[],Te=L.stencilBuffer?s.DEPTH_STENCIL_ATTACHMENT:s.DEPTH_ATTACHMENT,pe=n.get(L),ve=L.isWebGLMultipleRenderTargets===!0;if(ve)for(let be=0;be<E.length;be++)t.bindFramebuffer(s.FRAMEBUFFER,pe.__webglMultisampledFramebuffer),s.framebufferRenderbuffer(s.FRAMEBUFFER,s.COLOR_ATTACHMENT0+be,s.RENDERBUFFER,null),t.bindFramebuffer(s.FRAMEBUFFER,pe.__webglFramebuffer),s.framebufferTexture2D(s.DRAW_FRAMEBUFFER,s.COLOR_ATTACHMENT0+be,s.TEXTURE_2D,null,0);t.bindFramebuffer(s.READ_FRAMEBUFFER,pe.__webglMultisampledFramebuffer),t.bindFramebuffer(s.DRAW_FRAMEBUFFER,pe.__webglFramebuffer);for(let be=0;be<E.length;be++){se.push(s.COLOR_ATTACHMENT0+be),L.depthBuffer&&se.push(Te);let Fe=pe.__ignoreDepthValues!==void 0?pe.__ignoreDepthValues:!1;if(Fe===!1&&(L.depthBuffer&&(ie|=s.DEPTH_BUFFER_BIT),L.stencilBuffer&&(ie|=s.STENCIL_BUFFER_BIT)),ve&&s.framebufferRenderbuffer(s.READ_FRAMEBUFFER,s.COLOR_ATTACHMENT0,s.RENDERBUFFER,pe.__webglColorRenderbuffer[be]),Fe===!0&&(s.invalidateFramebuffer(s.READ_FRAMEBUFFER,[Te]),s.invalidateFramebuffer(s.DRAW_FRAMEBUFFER,[Te])),ve){let ce=n.get(E[be]).__webglTexture;s.framebufferTexture2D(s.DRAW_FRAMEBUFFER,s.COLOR_ATTACHMENT0,s.TEXTURE_2D,ce,0)}s.blitFramebuffer(0,0,k,ee,0,0,k,ee,ie,s.NEAREST),c&&s.invalidateFramebuffer(s.READ_FRAMEBUFFER,se)}if(t.bindFramebuffer(s.READ_FRAMEBUFFER,null),t.bindFramebuffer(s.DRAW_FRAMEBUFFER,null),ve)for(let be=0;be<E.length;be++){t.bindFramebuffer(s.FRAMEBUFFER,pe.__webglMultisampledFramebuffer),s.framebufferRenderbuffer(s.FRAMEBUFFER,s.COLOR_ATTACHMENT0+be,s.RENDERBUFFER,pe.__webglColorRenderbuffer[be]);let Fe=n.get(E[be]).__webglTexture;t.bindFramebuffer(s.FRAMEBUFFER,pe.__webglFramebuffer),s.framebufferTexture2D(s.DRAW_FRAMEBUFFER,s.COLOR_ATTACHMENT0+be,s.TEXTURE_2D,Fe,0)}t.bindFramebuffer(s.DRAW_FRAMEBUFFER,pe.__webglMultisampledFramebuffer)}}function le(L){return Math.min(i.maxSamples,L.samples)}function j(L){let E=n.get(L);return o&&L.samples>0&&e.has("WEBGL_multisampled_render_to_texture")===!0&&E.__useRenderToTexture!==!1}function Re(L){let E=a.render.frame;h.get(L)!==E&&(h.set(L,E),L.update())}function xe(L,E){let k=L.colorSpace,ee=L.format,ie=L.type;return L.isCompressedTexture===!0||L.isVideoTexture===!0||L.format===$a||k!==yn&&k!==Zt&&(it.getTransfer(k)===rt?o===!1?e.has("EXT_sRGB")===!0&&ee===Ft?(L.format=$a,L.minFilter=yt,L.generateMipmaps=!1):E=fr.sRGBToLinear(E):(ee!==Ft||ie!==un)&&console.warn("THREE.WebGLTextures: sRGB encoded textures have to use RGBAFormat and UnsignedByteType."):console.error("THREE.WebGLTextures: Unsupported texture color space:",k)),E}this.allocateTextureUnit=C,this.resetTextureUnits=R,this.setTexture2D=B,this.setTexture2DArray=H,this.setTexture3D=X,this.setTextureCube=V,this.rebindTextures=Ce,this.setupRenderTarget=F,this.updateRenderTargetMipmap=re,this.updateMultisampleRenderTarget=Q,this.setupDepthRenderbuffer=de,this.setupFrameBufferTexture=ue,this.useMultisampledRTT=j}function Op(s,e,t){let n=t.isWebGL2;function i(r,a=Zt){let o,l=it.getTransfer(a);if(r===un)return s.UNSIGNED_BYTE;if(r===nu)return s.UNSIGNED_SHORT_4_4_4_4;if(r===iu)return s.UNSIGNED_SHORT_5_5_5_1;if(r===sp)return s.BYTE;if(r===rp)return s.SHORT;if(r===ol)return s.UNSIGNED_SHORT;if(r===tu)return s.INT;if(r===In)return s.UNSIGNED_INT;if(r===cn)return s.FLOAT;if(r===ys)return n?s.HALF_FLOAT:(o=e.get("OES_texture_half_float"),o!==null?o.HALF_FLOAT_OES:null);if(r===ap)return s.ALPHA;if(r===Ft)return s.RGBA;if(r===op)return s.LUMINANCE;if(r===lp)return s.LUMINANCE_ALPHA;if(r===ei)return s.DEPTH_COMPONENT;if(r===Li)return s.DEPTH_STENCIL;if(r===$a)return o=e.get("EXT_sRGB"),o!==null?o.SRGB_ALPHA_EXT:null;if(r===cp)return s.RED;if(r===su)return s.RED_INTEGER;if(r===hp)return s.RG;if(r===ru)return s.RG_INTEGER;if(r===au)return s.RGBA_INTEGER;if(r===Ha||r===Ga||r===Wa||r===Xa)if(l===rt)if(o=e.get("WEBGL_compressed_texture_s3tc_srgb"),o!==null){if(r===Ha)return o.COMPRESSED_SRGB_S3TC_DXT1_EXT;if(r===Ga)return o.COMPRESSED_SRGB_ALPHA_S3TC_DXT1_EXT;if(r===Wa)return o.COMPRESSED_SRGB_ALPHA_S3TC_DXT3_EXT;if(r===Xa)return o.COMPRESSED_SRGB_ALPHA_S3TC_DXT5_EXT}else return null;else if(o=e.get("WEBGL_compressed_texture_s3tc"),o!==null){if(r===Ha)return o.COMPRESSED_RGB_S3TC_DXT1_EXT;if(r===Ga)return o.COMPRESSED_RGBA_S3TC_DXT1_EXT;if(r===Wa)return o.COMPRESSED_RGBA_S3TC_DXT3_EXT;if(r===Xa)return o.COMPRESSED_RGBA_S3TC_DXT5_EXT}else return null;if(r===hc||r===uc||r===dc||r===fc)if(o=e.get("WEBGL_compressed_texture_pvrtc"),o!==null){if(r===hc)return o.COMPRESSED_RGB_PVRTC_4BPPV1_IMG;if(r===uc)return o.COMPRESSED_RGB_PVRTC_2BPPV1_IMG;if(r===dc)return o.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG;if(r===fc)return o.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG}else return null;if(r===ou)return o=e.get("WEBGL_compressed_texture_etc1"),o!==null?o.COMPRESSED_RGB_ETC1_WEBGL:null;if(r===pc||r===mc)if(o=e.get("WEBGL_compressed_texture_etc"),o!==null){if(r===pc)return l===rt?o.COMPRESSED_SRGB8_ETC2:o.COMPRESSED_RGB8_ETC2;if(r===mc)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ETC2_EAC:o.COMPRESSED_RGBA8_ETC2_EAC}else return null;if(r===gc||r===yc||r===_c||r===xc||r===vc||r===Mc||r===bc||r===Sc||r===Ec||r===wc||r===Tc||r===Ac||r===Cc||r===Rc)if(o=e.get("WEBGL_compressed_texture_astc"),o!==null){if(r===gc)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_4x4_KHR:o.COMPRESSED_RGBA_ASTC_4x4_KHR;if(r===yc)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_5x4_KHR:o.COMPRESSED_RGBA_ASTC_5x4_KHR;if(r===_c)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_5x5_KHR:o.COMPRESSED_RGBA_ASTC_5x5_KHR;if(r===xc)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_6x5_KHR:o.COMPRESSED_RGBA_ASTC_6x5_KHR;if(r===vc)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_6x6_KHR:o.COMPRESSED_RGBA_ASTC_6x6_KHR;if(r===Mc)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_8x5_KHR:o.COMPRESSED_RGBA_ASTC_8x5_KHR;if(r===bc)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_8x6_KHR:o.COMPRESSED_RGBA_ASTC_8x6_KHR;if(r===Sc)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_8x8_KHR:o.COMPRESSED_RGBA_ASTC_8x8_KHR;if(r===Ec)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_10x5_KHR:o.COMPRESSED_RGBA_ASTC_10x5_KHR;if(r===wc)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_10x6_KHR:o.COMPRESSED_RGBA_ASTC_10x6_KHR;if(r===Tc)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_10x8_KHR:o.COMPRESSED_RGBA_ASTC_10x8_KHR;if(r===Ac)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_10x10_KHR:o.COMPRESSED_RGBA_ASTC_10x10_KHR;if(r===Cc)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_12x10_KHR:o.COMPRESSED_RGBA_ASTC_12x10_KHR;if(r===Rc)return l===rt?o.COMPRESSED_SRGB8_ALPHA8_ASTC_12x12_KHR:o.COMPRESSED_RGBA_ASTC_12x12_KHR}else return null;if(r===Ya||r===Pc||r===Lc)if(o=e.get("EXT_texture_compression_bptc"),o!==null){if(r===Ya)return l===rt?o.COMPRESSED_SRGB_ALPHA_BPTC_UNORM_EXT:o.COMPRESSED_RGBA_BPTC_UNORM_EXT;if(r===Pc)return o.COMPRESSED_RGB_BPTC_SIGNED_FLOAT_EXT;if(r===Lc)return o.COMPRESSED_RGB_BPTC_UNSIGNED_FLOAT_EXT}else return null;if(r===up||r===Ic||r===Dc||r===Nc)if(o=e.get("EXT_texture_compression_rgtc"),o!==null){if(r===Ya)return o.COMPRESSED_RED_RGTC1_EXT;if(r===Ic)return o.COMPRESSED_SIGNED_RED_RGTC1_EXT;if(r===Dc)return o.COMPRESSED_RED_GREEN_RGTC2_EXT;if(r===Nc)return o.COMPRESSED_SIGNED_RED_GREEN_RGTC2_EXT}else return null;return r===Qn?n?s.UNSIGNED_INT_24_8:(o=e.get("WEBGL_depth_texture"),o!==null?o.UNSIGNED_INT_24_8_WEBGL:null):s[r]!==void 0?s[r]:null}return{convert:i}}var no=class extends _t{constructor(e=[]){super(),this.isArrayCamera=!0,this.cameras=e}},jn=class extends tt{constructor(){super(),this.isGroup=!0,this.type="Group"}},iv={type:"move"},$s=class{constructor(){this._targetRay=null,this._grip=null,this._hand=null}getHandSpace(){return this._hand===null&&(this._hand=new jn,this._hand.matrixAutoUpdate=!1,this._hand.visible=!1,this._hand.joints={},this._hand.inputState={pinching:!1}),this._hand}getTargetRaySpace(){return this._targetRay===null&&(this._targetRay=new jn,this._targetRay.matrixAutoUpdate=!1,this._targetRay.visible=!1,this._targetRay.hasLinearVelocity=!1,this._targetRay.linearVelocity=new U,this._targetRay.hasAngularVelocity=!1,this._targetRay.angularVelocity=new U),this._targetRay}getGripSpace(){return this._grip===null&&(this._grip=new jn,this._grip.matrixAutoUpdate=!1,this._grip.visible=!1,this._grip.hasLinearVelocity=!1,this._grip.linearVelocity=new U,this._grip.hasAngularVelocity=!1,this._grip.angularVelocity=new U),this._grip}dispatchEvent(e){return this._targetRay!==null&&this._targetRay.dispatchEvent(e),this._grip!==null&&this._grip.dispatchEvent(e),this._hand!==null&&this._hand.dispatchEvent(e),this}connect(e){if(e&&e.hand){let t=this._hand;if(t)for(let n of e.hand.values())this._getHandJoint(t,n)}return this.dispatchEvent({type:"connected",data:e}),this}disconnect(e){return this.dispatchEvent({type:"disconnected",data:e}),this._targetRay!==null&&(this._targetRay.visible=!1),this._grip!==null&&(this._grip.visible=!1),this._hand!==null&&(this._hand.visible=!1),this}update(e,t,n){let i=null,r=null,a=null,o=this._targetRay,l=this._grip,c=this._hand;if(e&&t.session.visibilityState!=="visible-blurred"){if(c&&e.hand){a=!0;for(let y of e.hand.values()){let u=t.getJointPose(y,n),d=this._getHandJoint(c,y);u!==null&&(d.matrix.fromArray(u.transform.matrix),d.matrix.decompose(d.position,d.rotation,d.scale),d.matrixWorldNeedsUpdate=!0,d.jointRadius=u.radius),d.visible=u!==null}let h=c.joints["index-finger-tip"],f=c.joints["thumb-tip"],p=h.position.distanceTo(f.position),m=.02,g=.005;c.inputState.pinching&&p>m+g?(c.inputState.pinching=!1,this.dispatchEvent({type:"pinchend",handedness:e.handedness,target:this})):!c.inputState.pinching&&p<=m-g&&(c.inputState.pinching=!0,this.dispatchEvent({type:"pinchstart",handedness:e.handedness,target:this}))}else l!==null&&e.gripSpace&&(r=t.getPose(e.gripSpace,n),r!==null&&(l.matrix.fromArray(r.transform.matrix),l.matrix.decompose(l.position,l.rotation,l.scale),l.matrixWorldNeedsUpdate=!0,r.linearVelocity?(l.hasLinearVelocity=!0,l.linearVelocity.copy(r.linearVelocity)):l.hasLinearVelocity=!1,r.angularVelocity?(l.hasAngularVelocity=!0,l.angularVelocity.copy(r.angularVelocity)):l.hasAngularVelocity=!1));o!==null&&(i=t.getPose(e.targetRaySpace,n),i===null&&r!==null&&(i=r),i!==null&&(o.matrix.fromArray(i.transform.matrix),o.matrix.decompose(o.position,o.rotation,o.scale),o.matrixWorldNeedsUpdate=!0,i.linearVelocity?(o.hasLinearVelocity=!0,o.linearVelocity.copy(i.linearVelocity)):o.hasLinearVelocity=!1,i.angularVelocity?(o.hasAngularVelocity=!0,o.angularVelocity.copy(i.angularVelocity)):o.hasAngularVelocity=!1,this.dispatchEvent(iv)))}return o!==null&&(o.visible=i!==null),l!==null&&(l.visible=r!==null),c!==null&&(c.visible=a!==null),this}_getHandJoint(e,t){if(e.joints[t.jointName]===void 0){let n=new jn;n.matrixAutoUpdate=!1,n.visible=!1,e.joints[t.jointName]=n,e.add(n)}return e.joints[t.jointName]}},eh=class extends Kt{constructor(e,t){super();let n=this,i=null,r=1,a=null,o="local-floor",l=1,c=null,h=null,f=null,p=null,m=null,g=null,y=t.getContextAttributes(),u=null,d=null,_=[],x=[],v=new ne,A=null,w=new _t;w.layers.enable(1),w.viewport=new st;let b=new _t;b.layers.enable(2),b.viewport=new st;let T=[w,b],M=new no;M.layers.enable(1),M.layers.enable(2);let S=null,N=null;this.cameraAutoUpdate=!0,this.enabled=!1,this.isPresenting=!1,this.getController=function(G){let $=_[G];return $===void 0&&($=new $s,_[G]=$),$.getTargetRaySpace()},this.getControllerGrip=function(G){let $=_[G];return $===void 0&&($=new $s,_[G]=$),$.getGripSpace()},this.getHand=function(G){let $=_[G];return $===void 0&&($=new $s,_[G]=$),$.getHandSpace()};function P(G){let $=x.indexOf(G.inputSource);if($===-1)return;let ae=_[$];ae!==void 0&&(ae.update(G.inputSource,G.frame,c||a),ae.dispatchEvent({type:G.type,data:G.inputSource}))}function R(){i.removeEventListener("select",P),i.removeEventListener("selectstart",P),i.removeEventListener("selectend",P),i.removeEventListener("squeeze",P),i.removeEventListener("squeezestart",P),i.removeEventListener("squeezeend",P),i.removeEventListener("end",R),i.removeEventListener("inputsourceschange",C);for(let G=0;G<_.length;G++){let $=x[G];$!==null&&(x[G]=null,_[G].disconnect($))}S=null,N=null,e.setRenderTarget(u),m=null,p=null,f=null,i=null,d=null,te.stop(),n.isPresenting=!1,e.setPixelRatio(A),e.setSize(v.width,v.height,!1),n.dispatchEvent({type:"sessionend"})}this.setFramebufferScaleFactor=function(G){r=G,n.isPresenting===!0&&console.warn("THREE.WebXRManager: Cannot change framebuffer scale while presenting.")},this.setReferenceSpaceType=function(G){o=G,n.isPresenting===!0&&console.warn("THREE.WebXRManager: Cannot change reference space type while presenting.")},this.getReferenceSpace=function(){return c||a},this.setReferenceSpace=function(G){c=G},this.getBaseLayer=function(){return p!==null?p:m},this.getBinding=function(){return f},this.getFrame=function(){return g},this.getSession=function(){return i},this.setSession=async function(G){if(i=G,i!==null){if(u=e.getRenderTarget(),i.addEventListener("select",P),i.addEventListener("selectstart",P),i.addEventListener("selectend",P),i.addEventListener("squeeze",P),i.addEventListener("squeezestart",P),i.addEventListener("squeezeend",P),i.addEventListener("end",R),i.addEventListener("inputsourceschange",C),y.xrCompatible!==!0&&await t.makeXRCompatible(),A=e.getPixelRatio(),e.getSize(v),i.renderState.layers===void 0||e.capabilities.isWebGL2===!1){let $={antialias:i.renderState.layers===void 0?y.antialias:!0,alpha:!0,depth:y.depth,stencil:y.stencil,framebufferScaleFactor:r};m=new XRWebGLLayer(i,t,$),i.updateRenderState({baseLayer:m}),e.setPixelRatio(1),e.setSize(m.framebufferWidth,m.framebufferHeight,!1),d=new Ht(m.framebufferWidth,m.framebufferHeight,{format:Ft,type:un,colorSpace:e.outputColorSpace,stencilBuffer:y.stencil})}else{let $=null,ae=null,ge=null;y.depth&&(ge=y.stencil?t.DEPTH24_STENCIL8:t.DEPTH_COMPONENT24,$=y.stencil?Li:ei,ae=y.stencil?Qn:In);let ue={colorFormat:t.RGBA8,depthFormat:ge,scaleFactor:r};f=new XRWebGLBinding(i,t),p=f.createProjectionLayer(ue),i.updateRenderState({layers:[p]}),e.setPixelRatio(1),e.setSize(p.textureWidth,p.textureHeight,!1),d=new Ht(p.textureWidth,p.textureHeight,{format:Ft,type:un,depthTexture:new vr(p.textureWidth,p.textureHeight,ae,void 0,void 0,void 0,void 0,void 0,void 0,$),stencilBuffer:y.stencil,colorSpace:e.outputColorSpace,samples:y.antialias?4:0});let oe=e.properties.get(d);oe.__ignoreDepthValues=p.ignoreDepthValues}d.isXRRenderTarget=!0,this.setFoveation(l),c=null,a=await i.requestReferenceSpace(o),te.setContext(i),te.start(),n.isPresenting=!0,n.dispatchEvent({type:"sessionstart"})}},this.getEnvironmentBlendMode=function(){if(i!==null)return i.environmentBlendMode};function C(G){for(let $=0;$<G.removed.length;$++){let ae=G.removed[$],ge=x.indexOf(ae);ge>=0&&(x[ge]=null,_[ge].disconnect(ae))}for(let $=0;$<G.added.length;$++){let ae=G.added[$],ge=x.indexOf(ae);if(ge===-1){for(let oe=0;oe<_.length;oe++)if(oe>=x.length){x.push(ae),ge=oe;break}else if(x[oe]===null){x[oe]=ae,ge=oe;break}if(ge===-1)break}let ue=_[ge];ue&&ue.connect(ae)}}let I=new U,B=new U;function H(G,$,ae){I.setFromMatrixPosition($.matrixWorld),B.setFromMatrixPosition(ae.matrixWorld);let ge=I.distanceTo(B),ue=$.projectionMatrix.elements,oe=ae.projectionMatrix.elements,ye=ue[14]/(ue[10]-1),de=ue[14]/(ue[10]+1),Ce=(ue[9]+1)/ue[5],F=(ue[9]-1)/ue[5],re=(ue[8]-1)/ue[0],Q=(oe[8]+1)/oe[0],le=ye*re,j=ye*Q,Re=ge/(-re+Q),xe=Re*-re;$.matrixWorld.decompose(G.position,G.quaternion,G.scale),G.translateX(xe),G.translateZ(Re),G.matrixWorld.compose(G.position,G.quaternion,G.scale),G.matrixWorldInverse.copy(G.matrixWorld).invert();let L=ye+Re,E=de+Re,k=le-xe,ee=j+(ge-xe),ie=Ce*de/E*L,se=F*de/E*L;G.projectionMatrix.makePerspective(k,ee,ie,se,L,E),G.projectionMatrixInverse.copy(G.projectionMatrix).invert()}function X(G,$){$===null?G.matrixWorld.copy(G.matrix):G.matrixWorld.multiplyMatrices($.matrixWorld,G.matrix),G.matrixWorldInverse.copy(G.matrixWorld).invert()}this.updateCamera=function(G){if(i===null)return;M.near=b.near=w.near=G.near,M.far=b.far=w.far=G.far,(S!==M.near||N!==M.far)&&(i.updateRenderState({depthNear:M.near,depthFar:M.far}),S=M.near,N=M.far);let $=G.parent,ae=M.cameras;X(M,$);for(let ge=0;ge<ae.length;ge++)X(ae[ge],$);ae.length===2?H(M,w,b):M.projectionMatrix.copy(w.projectionMatrix),V(G,M,$)};function V(G,$,ae){ae===null?G.matrix.copy($.matrixWorld):(G.matrix.copy(ae.matrixWorld),G.matrix.invert(),G.matrix.multiply($.matrixWorld)),G.matrix.decompose(G.position,G.quaternion,G.scale),G.updateMatrixWorld(!0),G.projectionMatrix.copy($.projectionMatrix),G.projectionMatrixInverse.copy($.projectionMatrixInverse),G.isPerspectiveCamera&&(G.fov=xs*2*Math.atan(1/G.projectionMatrix.elements[5]),G.zoom=1)}this.getCamera=function(){return M},this.getFoveation=function(){if(!(p===null&&m===null))return l},this.setFoveation=function(G){l=G,p!==null&&(p.fixedFoveation=G),m!==null&&m.fixedFoveation!==void 0&&(m.fixedFoveation=G)};let W=null;function Y(G,$){if(h=$.getViewerPose(c||a),g=$,h!==null){let ae=h.views;m!==null&&(e.setRenderTargetFramebuffer(d,m.framebuffer),e.setRenderTarget(d));let ge=!1;ae.length!==M.cameras.length&&(M.cameras.length=0,ge=!0);for(let ue=0;ue<ae.length;ue++){let oe=ae[ue],ye=null;if(m!==null)ye=m.getViewport(oe);else{let Ce=f.getViewSubImage(p,oe);ye=Ce.viewport,ue===0&&(e.setRenderTargetTextures(d,Ce.colorTexture,p.ignoreDepthValues?void 0:Ce.depthStencilTexture),e.setRenderTarget(d))}let de=T[ue];de===void 0&&(de=new _t,de.layers.enable(ue),de.viewport=new st,T[ue]=de),de.matrix.fromArray(oe.transform.matrix),de.matrix.decompose(de.position,de.quaternion,de.scale),de.projectionMatrix.fromArray(oe.projectionMatrix),de.projectionMatrixInverse.copy(de.projectionMatrix).invert(),de.viewport.set(ye.x,ye.y,ye.width,ye.height),ue===0&&(M.matrix.copy(de.matrix),M.matrix.decompose(M.position,M.quaternion,M.scale)),ge===!0&&M.cameras.push(de)}}for(let ae=0;ae<_.length;ae++){let ge=x[ae],ue=_[ae];ge!==null&&ue!==void 0&&ue.update(ge,$,c||a)}W&&W(G,$),$.detectedPlanes&&n.dispatchEvent({type:"planesdetected",data:$}),g=null}let te=new Pp;te.setAnimationLoop(Y),this.setAnimationLoop=function(G){W=G},this.dispose=function(){}}};function sv(s,e){function t(u,d){u.matrixAutoUpdate===!0&&u.updateMatrix(),d.value.copy(u.matrix)}function n(u,d){d.color.getRGB(u.fogColor.value,Cp(s)),d.isFog?(u.fogNear.value=d.near,u.fogFar.value=d.far):d.isFogExp2&&(u.fogDensity.value=d.density)}function i(u,d,_,x,v){d.isMeshBasicMaterial||d.isMeshLambertMaterial?r(u,d):d.isMeshToonMaterial?(r(u,d),f(u,d)):d.isMeshPhongMaterial?(r(u,d),h(u,d)):d.isMeshStandardMaterial?(r(u,d),p(u,d),d.isMeshPhysicalMaterial&&m(u,d,v)):d.isMeshMatcapMaterial?(r(u,d),g(u,d)):d.isMeshDepthMaterial?r(u,d):d.isMeshDistanceMaterial?(r(u,d),y(u,d)):d.isMeshNormalMaterial?r(u,d):d.isLineBasicMaterial?(a(u,d),d.isLineDashedMaterial&&o(u,d)):d.isPointsMaterial?l(u,d,_,x):d.isSpriteMaterial?c(u,d):d.isShadowMaterial?(u.color.value.copy(d.color),u.opacity.value=d.opacity):d.isShaderMaterial&&(d.uniformsNeedUpdate=!1)}function r(u,d){u.opacity.value=d.opacity,d.color&&u.diffuse.value.copy(d.color),d.emissive&&u.emissive.value.copy(d.emissive).multiplyScalar(d.emissiveIntensity),d.map&&(u.map.value=d.map,t(d.map,u.mapTransform)),d.alphaMap&&(u.alphaMap.value=d.alphaMap,t(d.alphaMap,u.alphaMapTransform)),d.bumpMap&&(u.bumpMap.value=d.bumpMap,t(d.bumpMap,u.bumpMapTransform),u.bumpScale.value=d.bumpScale,d.side===Vt&&(u.bumpScale.value*=-1)),d.normalMap&&(u.normalMap.value=d.normalMap,t(d.normalMap,u.normalMapTransform),u.normalScale.value.copy(d.normalScale),d.side===Vt&&u.normalScale.value.negate()),d.displacementMap&&(u.displacementMap.value=d.displacementMap,t(d.displacementMap,u.displacementMapTransform),u.displacementScale.value=d.displacementScale,u.displacementBias.value=d.displacementBias),d.emissiveMap&&(u.emissiveMap.value=d.emissiveMap,t(d.emissiveMap,u.emissiveMapTransform)),d.specularMap&&(u.specularMap.value=d.specularMap,t(d.specularMap,u.specularMapTransform)),d.alphaTest>0&&(u.alphaTest.value=d.alphaTest);let _=e.get(d).envMap;if(_&&(u.envMap.value=_,u.flipEnvMap.value=_.isCubeTexture&&_.isRenderTargetTexture===!1?-1:1,u.reflectivity.value=d.reflectivity,u.ior.value=d.ior,u.refractionRatio.value=d.refractionRatio),d.lightMap){u.lightMap.value=d.lightMap;let x=s._useLegacyLights===!0?Math.PI:1;u.lightMapIntensity.value=d.lightMapIntensity*x,t(d.lightMap,u.lightMapTransform)}d.aoMap&&(u.aoMap.value=d.aoMap,u.aoMapIntensity.value=d.aoMapIntensity,t(d.aoMap,u.aoMapTransform))}function a(u,d){u.diffuse.value.copy(d.color),u.opacity.value=d.opacity,d.map&&(u.map.value=d.map,t(d.map,u.mapTransform))}function o(u,d){u.dashSize.value=d.dashSize,u.totalSize.value=d.dashSize+d.gapSize,u.scale.value=d.scale}function l(u,d,_,x){u.diffuse.value.copy(d.color),u.opacity.value=d.opacity,u.size.value=d.size*_,u.scale.value=x*.5,d.map&&(u.map.value=d.map,t(d.map,u.uvTransform)),d.alphaMap&&(u.alphaMap.value=d.alphaMap,t(d.alphaMap,u.alphaMapTransform)),d.alphaTest>0&&(u.alphaTest.value=d.alphaTest)}function c(u,d){u.diffuse.value.copy(d.color),u.opacity.value=d.opacity,u.rotation.value=d.rotation,d.map&&(u.map.value=d.map,t(d.map,u.mapTransform)),d.alphaMap&&(u.alphaMap.value=d.alphaMap,t(d.alphaMap,u.alphaMapTransform)),d.alphaTest>0&&(u.alphaTest.value=d.alphaTest)}function h(u,d){u.specular.value.copy(d.specular),u.shininess.value=Math.max(d.shininess,1e-4)}function f(u,d){d.gradientMap&&(u.gradientMap.value=d.gradientMap)}function p(u,d){u.metalness.value=d.metalness,d.metalnessMap&&(u.metalnessMap.value=d.metalnessMap,t(d.metalnessMap,u.metalnessMapTransform)),u.roughness.value=d.roughness,d.roughnessMap&&(u.roughnessMap.value=d.roughnessMap,t(d.roughnessMap,u.roughnessMapTransform)),e.get(d).envMap&&(u.envMapIntensity.value=d.envMapIntensity)}function m(u,d,_){u.ior.value=d.ior,d.sheen>0&&(u.sheenColor.value.copy(d.sheenColor).multiplyScalar(d.sheen),u.sheenRoughness.value=d.sheenRoughness,d.sheenColorMap&&(u.sheenColorMap.value=d.sheenColorMap,t(d.sheenColorMap,u.sheenColorMapTransform)),d.sheenRoughnessMap&&(u.sheenRoughnessMap.value=d.sheenRoughnessMap,t(d.sheenRoughnessMap,u.sheenRoughnessMapTransform))),d.clearcoat>0&&(u.clearcoat.value=d.clearcoat,u.clearcoatRoughness.value=d.clearcoatRoughness,d.clearcoatMap&&(u.clearcoatMap.value=d.clearcoatMap,t(d.clearcoatMap,u.clearcoatMapTransform)),d.clearcoatRoughnessMap&&(u.clearcoatRoughnessMap.value=d.clearcoatRoughnessMap,t(d.clearcoatRoughnessMap,u.clearcoatRoughnessMapTransform)),d.clearcoatNormalMap&&(u.clearcoatNormalMap.value=d.clearcoatNormalMap,t(d.clearcoatNormalMap,u.clearcoatNormalMapTransform),u.clearcoatNormalScale.value.copy(d.clearcoatNormalScale),d.side===Vt&&u.clearcoatNormalScale.value.negate())),d.iridescence>0&&(u.iridescence.value=d.iridescence,u.iridescenceIOR.value=d.iridescenceIOR,u.iridescenceThicknessMinimum.value=d.iridescenceThicknessRange[0],u.iridescenceThicknessMaximum.value=d.iridescenceThicknessRange[1],d.iridescenceMap&&(u.iridescenceMap.value=d.iridescenceMap,t(d.iridescenceMap,u.iridescenceMapTransform)),d.iridescenceThicknessMap&&(u.iridescenceThicknessMap.value=d.iridescenceThicknessMap,t(d.iridescenceThicknessMap,u.iridescenceThicknessMapTransform))),d.transmission>0&&(u.transmission.value=d.transmission,u.transmissionSamplerMap.value=_.texture,u.transmissionSamplerSize.value.set(_.width,_.height),d.transmissionMap&&(u.transmissionMap.value=d.transmissionMap,t(d.transmissionMap,u.transmissionMapTransform)),u.thickness.value=d.thickness,d.thicknessMap&&(u.thicknessMap.value=d.thicknessMap,t(d.thicknessMap,u.thicknessMapTransform)),u.attenuationDistance.value=d.attenuationDistance,u.attenuationColor.value.copy(d.attenuationColor)),d.anisotropy>0&&(u.anisotropyVector.value.set(d.anisotropy*Math.cos(d.anisotropyRotation),d.anisotropy*Math.sin(d.anisotropyRotation)),d.anisotropyMap&&(u.anisotropyMap.value=d.anisotropyMap,t(d.anisotropyMap,u.anisotropyMapTransform))),u.specularIntensity.value=d.specularIntensity,u.specularColor.value.copy(d.specularColor),d.specularColorMap&&(u.specularColorMap.value=d.specularColorMap,t(d.specularColorMap,u.specularColorMapTransform)),d.specularIntensityMap&&(u.specularIntensityMap.value=d.specularIntensityMap,t(d.specularIntensityMap,u.specularIntensityMapTransform))}function g(u,d){d.matcap&&(u.matcap.value=d.matcap)}function y(u,d){let _=e.get(d).light;u.referencePosition.value.setFromMatrixPosition(_.matrixWorld),u.nearDistance.value=_.shadow.camera.near,u.farDistance.value=_.shadow.camera.far}return{refreshFogUniforms:n,refreshMaterialUniforms:i}}function rv(s,e,t,n){let i={},r={},a=[],o=t.isWebGL2?s.getParameter(s.MAX_UNIFORM_BUFFER_BINDINGS):0;function l(_,x){let v=x.program;n.uniformBlockBinding(_,v)}function c(_,x){let v=i[_.id];v===void 0&&(g(_),v=h(_),i[_.id]=v,_.addEventListener("dispose",u));let A=x.program;n.updateUBOMapping(_,A);let w=e.render.frame;r[_.id]!==w&&(p(_),r[_.id]=w)}function h(_){let x=f();_.__bindingPointIndex=x;let v=s.createBuffer(),A=_.__size,w=_.usage;return s.bindBuffer(s.UNIFORM_BUFFER,v),s.bufferData(s.UNIFORM_BUFFER,A,w),s.bindBuffer(s.UNIFORM_BUFFER,null),s.bindBufferBase(s.UNIFORM_BUFFER,x,v),v}function f(){for(let _=0;_<o;_++)if(a.indexOf(_)===-1)return a.push(_),_;return console.error("THREE.WebGLRenderer: Maximum number of simultaneously usable uniforms groups reached."),0}function p(_){let x=i[_.id],v=_.uniforms,A=_.__cache;s.bindBuffer(s.UNIFORM_BUFFER,x);for(let w=0,b=v.length;w<b;w++){let T=Array.isArray(v[w])?v[w]:[v[w]];for(let M=0,S=T.length;M<S;M++){let N=T[M];if(m(N,w,M,A)===!0){let P=N.__offset,R=Array.isArray(N.value)?N.value:[N.value],C=0;for(let I=0;I<R.length;I++){let B=R[I],H=y(B);typeof B=="number"||typeof B=="boolean"?(N.__data[0]=B,s.bufferSubData(s.UNIFORM_BUFFER,P+C,N.__data)):B.isMatrix3?(N.__data[0]=B.elements[0],N.__data[1]=B.elements[1],N.__data[2]=B.elements[2],N.__data[3]=0,N.__data[4]=B.elements[3],N.__data[5]=B.elements[4],N.__data[6]=B.elements[5],N.__data[7]=0,N.__data[8]=B.elements[6],N.__data[9]=B.elements[7],N.__data[10]=B.elements[8],N.__data[11]=0):(B.toArray(N.__data,C),C+=H.storage/Float32Array.BYTES_PER_ELEMENT)}s.bufferSubData(s.UNIFORM_BUFFER,P,N.__data)}}}s.bindBuffer(s.UNIFORM_BUFFER,null)}function m(_,x,v,A){let w=_.value,b=x+"_"+v;if(A[b]===void 0)return typeof w=="number"||typeof w=="boolean"?A[b]=w:A[b]=w.clone(),!0;{let T=A[b];if(typeof w=="number"||typeof w=="boolean"){if(T!==w)return A[b]=w,!0}else if(T.equals(w)===!1)return T.copy(w),!0}return!1}function g(_){let x=_.uniforms,v=0,A=16;for(let b=0,T=x.length;b<T;b++){let M=Array.isArray(x[b])?x[b]:[x[b]];for(let S=0,N=M.length;S<N;S++){let P=M[S],R=Array.isArray(P.value)?P.value:[P.value];for(let C=0,I=R.length;C<I;C++){let B=R[C],H=y(B),X=v%A;X!==0&&A-X<H.boundary&&(v+=A-X),P.__data=new Float32Array(H.storage/Float32Array.BYTES_PER_ELEMENT),P.__offset=v,v+=H.storage}}}let w=v%A;return w>0&&(v+=A-w),_.__size=v,_.__cache={},this}function y(_){let x={boundary:0,storage:0};return typeof _=="number"||typeof _=="boolean"?(x.boundary=4,x.storage=4):_.isVector2?(x.boundary=8,x.storage=8):_.isVector3||_.isColor?(x.boundary=16,x.storage=12):_.isVector4?(x.boundary=16,x.storage=16):_.isMatrix3?(x.boundary=48,x.storage=48):_.isMatrix4?(x.boundary=64,x.storage=64):_.isTexture?console.warn("THREE.WebGLRenderer: Texture samplers can not be part of an uniforms group."):console.warn("THREE.WebGLRenderer: Unsupported uniform value type.",_),x}function u(_){let x=_.target;x.removeEventListener("dispose",u);let v=a.indexOf(x.__bindingPointIndex);a.splice(v,1),s.deleteBuffer(i[x.id]),delete i[x.id],delete r[x.id]}function d(){for(let _ in i)s.deleteBuffer(i[_]);a=[],i={},r={}}return{bind:l,update:c,dispose:d}}var ws=class{constructor(e={}){let{canvas:t=Tp(),context:n=null,depth:i=!0,stencil:r=!0,alpha:a=!1,antialias:o=!1,premultipliedAlpha:l=!0,preserveDrawingBuffer:c=!1,powerPreference:h="default",failIfMajorPerformanceCaveat:f=!1}=e;this.isWebGLRenderer=!0;let p;n!==null?p=n.getContextAttributes().alpha:p=a;let m=new Uint32Array(4),g=new Int32Array(4),y=null,u=null,d=[],_=[];this.domElement=t,this.debug={checkShaderErrors:!0,onShaderError:null},this.autoClear=!0,this.autoClearColor=!0,this.autoClearDepth=!0,this.autoClearStencil=!0,this.sortObjects=!0,this.clippingPlanes=[],this.localClippingEnabled=!1,this._outputColorSpace=gt,this._useLegacyLights=!1,this.toneMapping=Fn,this.toneMappingExposure=1;let x=this,v=!1,A=0,w=0,b=null,T=-1,M=null,S=new st,N=new st,P=null,R=new Se(0),C=0,I=t.width,B=t.height,H=1,X=null,V=null,W=new st(0,0,I,B),Y=new st(0,0,I,B),te=!1,G=new Ni,$=!1,ae=!1,ge=null,ue=new Be,oe=new ne,ye=new U,de={background:null,fog:null,environment:null,overrideMaterial:null,isScene:!0};function Ce(){return b===null?H:1}let F=n;function re(D,q){for(let J=0;J<D.length;J++){let K=D[J],Z=t.getContext(K,q);if(Z!==null)return Z}return null}try{let D={alpha:!0,depth:i,stencil:r,antialias:o,premultipliedAlpha:l,preserveDrawingBuffer:c,powerPreference:h,failIfMajorPerformanceCaveat:f};if("setAttribute"in t&&t.setAttribute("data-engine","three.js r160"),t.addEventListener("webglcontextlost",he,!1),t.addEventListener("webglcontextrestored",z,!1),t.addEventListener("webglcontextcreationerror",me,!1),F===null){let q=["webgl2","webgl","experimental-webgl"];if(x.isWebGL1Renderer===!0&&q.shift(),F=re(q,D),F===null)throw re(q)?new Error("Error creating WebGL context with your selected attributes."):new Error("Error creating WebGL context.")}typeof WebGLRenderingContext<"u"&&F instanceof WebGLRenderingContext&&console.warn("THREE.WebGLRenderer: WebGL 1 support was deprecated in r153 and will be removed in r163."),F.getShaderPrecisionFormat===void 0&&(F.getShaderPrecisionFormat=function(){return{rangeMin:1,rangeMax:1,precision:1}})}catch(D){throw console.error("THREE.WebGLRenderer: "+D.message),D}let Q,le,j,Re,xe,L,E,k,ee,ie,se,Te,pe,ve,be,Fe,ce,je,qe,ze,De,Ee,O,fe;function Le(){Q=new w0(F),le=new x0(F,Q,e),Q.init(le),Ee=new Op(F,Q,le),j=new tv(F,Q,le),Re=new C0(F),xe=new Gx,L=new nv(F,Q,j,xe,le,Ee,Re),E=new M0(x),k=new E0(x),ee=new Og(F,le),O=new y0(F,Q,ee,le),ie=new T0(F,ee,Re,O),se=new I0(F,ie,ee,Re),qe=new L0(F,le,L),Fe=new v0(xe),Te=new Hx(x,E,k,Q,le,O,Fe),pe=new sv(x,xe),ve=new Xx,be=new $x(Q,le),je=new g0(x,E,k,j,se,p,l),ce=new ev(x,se,le),fe=new rv(F,Re,le,j),ze=new _0(F,Q,Re,le),De=new A0(F,Q,Re,le),Re.programs=Te.programs,x.capabilities=le,x.extensions=Q,x.properties=xe,x.renderLists=ve,x.shadowMap=ce,x.state=j,x.info=Re}Le();let Ae=new eh(x,F);this.xr=Ae,this.getContext=function(){return F},this.getContextAttributes=function(){return F.getContextAttributes()},this.forceContextLoss=function(){let D=Q.get("WEBGL_lose_context");D&&D.loseContext()},this.forceContextRestore=function(){let D=Q.get("WEBGL_lose_context");D&&D.restoreContext()},this.getPixelRatio=function(){return H},this.setPixelRatio=function(D){D!==void 0&&(H=D,this.setSize(I,B,!1))},this.getSize=function(D){return D.set(I,B)},this.setSize=function(D,q,J=!0){if(Ae.isPresenting){console.warn("THREE.WebGLRenderer: Can't change size while VR device is presenting.");return}I=D,B=q,t.width=Math.floor(D*H),t.height=Math.floor(q*H),J===!0&&(t.style.width=D+"px",t.style.height=q+"px"),this.setViewport(0,0,D,q)},this.getDrawingBufferSize=function(D){return D.set(I*H,B*H).floor()},this.setDrawingBufferSize=function(D,q,J){I=D,B=q,H=J,t.width=Math.floor(D*J),t.height=Math.floor(q*J),this.setViewport(0,0,D,q)},this.getCurrentViewport=function(D){return D.copy(S)},this.getViewport=function(D){return D.copy(W)},this.setViewport=function(D,q,J,K){D.isVector4?W.set(D.x,D.y,D.z,D.w):W.set(D,q,J,K),j.viewport(S.copy(W).multiplyScalar(H).floor())},this.getScissor=function(D){return D.copy(Y)},this.setScissor=function(D,q,J,K){D.isVector4?Y.set(D.x,D.y,D.z,D.w):Y.set(D,q,J,K),j.scissor(N.copy(Y).multiplyScalar(H).floor())},this.getScissorTest=function(){return te},this.setScissorTest=function(D){j.setScissorTest(te=D)},this.setOpaqueSort=function(D){X=D},this.setTransparentSort=function(D){V=D},this.getClearColor=function(D){return D.copy(je.getClearColor())},this.setClearColor=function(){je.setClearColor.apply(je,arguments)},this.getClearAlpha=function(){return je.getClearAlpha()},this.setClearAlpha=function(){je.setClearAlpha.apply(je,arguments)},this.clear=function(D=!0,q=!0,J=!0){let K=0;if(D){let Z=!1;if(b!==null){let we=b.texture.format;Z=we===au||we===ru||we===su}if(Z){let we=b.texture.type,Ie=we===un||we===In||we===ol||we===Qn||we===nu||we===iu,Oe=je.getClearColor(),ke=je.getClearAlpha(),Ze=Oe.r,Ve=Oe.g,He=Oe.b;Ie?(m[0]=Ze,m[1]=Ve,m[2]=He,m[3]=ke,F.clearBufferuiv(F.COLOR,0,m)):(g[0]=Ze,g[1]=Ve,g[2]=He,g[3]=ke,F.clearBufferiv(F.COLOR,0,g))}else K|=F.COLOR_BUFFER_BIT}q&&(K|=F.DEPTH_BUFFER_BIT),J&&(K|=F.STENCIL_BUFFER_BIT,this.state.buffers.stencil.setMask(4294967295)),F.clear(K)},this.clearColor=function(){this.clear(!0,!1,!1)},this.clearDepth=function(){this.clear(!1,!0,!1)},this.clearStencil=function(){this.clear(!1,!1,!0)},this.dispose=function(){t.removeEventListener("webglcontextlost",he,!1),t.removeEventListener("webglcontextrestored",z,!1),t.removeEventListener("webglcontextcreationerror",me,!1),ve.dispose(),be.dispose(),xe.dispose(),E.dispose(),k.dispose(),se.dispose(),O.dispose(),fe.dispose(),Te.dispose(),Ae.dispose(),Ae.removeEventListener("sessionstart",dt),Ae.removeEventListener("sessionend",Qe),ge&&(ge.dispose(),ge=null),Mt.stop()};function he(D){D.preventDefault(),console.log("THREE.WebGLRenderer: Context Lost."),v=!0}function z(){console.log("THREE.WebGLRenderer: Context Restored."),v=!1;let D=Re.autoReset,q=ce.enabled,J=ce.autoUpdate,K=ce.needsUpdate,Z=ce.type;Le(),Re.autoReset=D,ce.enabled=q,ce.autoUpdate=J,ce.needsUpdate=K,ce.type=Z}function me(D){console.error("THREE.WebGLRenderer: A WebGL context could not be created. Reason: ",D.statusMessage)}function Me(D){let q=D.target;q.removeEventListener("dispose",Me),Ue(q)}function Ue(D){Ne(D),xe.remove(D)}function Ne(D){let q=xe.get(D).programs;q!==void 0&&(q.forEach(function(J){Te.releaseProgram(J)}),D.isShaderMaterial&&Te.releaseShaderCache(D))}this.renderBufferDirect=function(D,q,J,K,Z,we){q===null&&(q=de);let Ie=Z.isMesh&&Z.matrixWorld.determinant()<0,Oe=um(D,q,J,K,Z);j.setMaterial(K,Ie);let ke=J.index,Ze=1;if(K.wireframe===!0){if(ke=ie.getWireframeAttribute(J),ke===void 0)return;Ze=2}let Ve=J.drawRange,He=J.attributes.position,ft=Ve.start*Ze,Xt=(Ve.start+Ve.count)*Ze;we!==null&&(ft=Math.max(ft,we.start*Ze),Xt=Math.min(Xt,(we.start+we.count)*Ze)),ke!==null?(ft=Math.max(ft,0),Xt=Math.min(Xt,ke.count)):He!=null&&(ft=Math.max(ft,0),Xt=Math.min(Xt,He.count));let Ct=Xt-ft;if(Ct<0||Ct===1/0)return;O.setup(Z,K,Oe,J,ke);let En,at=ze;if(ke!==null&&(En=ee.get(ke),at=De,at.setIndex(En)),Z.isMesh)K.wireframe===!0?(j.setLineWidth(K.wireframeLinewidth*Ce()),at.setMode(F.LINES)):at.setMode(F.TRIANGLES);else if(Z.isLine){let Je=K.linewidth;Je===void 0&&(Je=1),j.setLineWidth(Je*Ce()),Z.isLineSegments?at.setMode(F.LINES):Z.isLineLoop?at.setMode(F.LINE_LOOP):at.setMode(F.LINE_STRIP)}else Z.isPoints?at.setMode(F.POINTS):Z.isSprite&&at.setMode(F.TRIANGLES);if(Z.isBatchedMesh)at.renderMultiDraw(Z._multiDrawStarts,Z._multiDrawCounts,Z._multiDrawCount);else if(Z.isInstancedMesh)at.renderInstances(ft,Ct,Z.count);else if(J.isInstancedBufferGeometry){let Je=J._maxInstanceCount!==void 0?J._maxInstanceCount:1/0,ml=Math.min(J.instanceCount,Je);at.renderInstances(ft,Ct,ml)}else at.render(ft,Ct)};function Ke(D,q,J){D.transparent===!0&&D.side===mn&&D.forceSinglePass===!1?(D.side=Vt,D.needsUpdate=!0,Zr(D,q,J),D.side=kn,D.needsUpdate=!0,Zr(D,q,J),D.side=mn):Zr(D,q,J)}this.compile=function(D,q,J=null){J===null&&(J=D),u=be.get(J),u.init(),_.push(u),J.traverseVisible(function(Z){Z.isLight&&Z.layers.test(q.layers)&&(u.pushLight(Z),Z.castShadow&&u.pushShadow(Z))}),D!==J&&D.traverseVisible(function(Z){Z.isLight&&Z.layers.test(q.layers)&&(u.pushLight(Z),Z.castShadow&&u.pushShadow(Z))}),u.setupLights(x._useLegacyLights);let K=new Set;return D.traverse(function(Z){let we=Z.material;if(we)if(Array.isArray(we))for(let Ie=0;Ie<we.length;Ie++){let Oe=we[Ie];Ke(Oe,J,Z),K.add(Oe)}else Ke(we,J,Z),K.add(we)}),_.pop(),u=null,K},this.compileAsync=function(D,q,J=null){let K=this.compile(D,q,J);return new Promise(Z=>{function we(){if(K.forEach(function(Ie){xe.get(Ie).currentProgram.isReady()&&K.delete(Ie)}),K.size===0){Z(D);return}setTimeout(we,10)}Q.get("KHR_parallel_shader_compile")!==null?we():setTimeout(we,10)})};let $e=null;function lt(D){$e&&$e(D)}function dt(){Mt.stop()}function Qe(){Mt.start()}let Mt=new Pp;Mt.setAnimationLoop(lt),typeof self<"u"&&Mt.setContext(self),this.setAnimationLoop=function(D){$e=D,Ae.setAnimationLoop(D),D===null?Mt.stop():Mt.start()},Ae.addEventListener("sessionstart",dt),Ae.addEventListener("sessionend",Qe),this.render=function(D,q){if(q!==void 0&&q.isCamera!==!0){console.error("THREE.WebGLRenderer.render: camera is not an instance of THREE.Camera.");return}if(v===!0)return;D.matrixWorldAutoUpdate===!0&&D.updateMatrixWorld(),q.parent===null&&q.matrixWorldAutoUpdate===!0&&q.updateMatrixWorld(),Ae.enabled===!0&&Ae.isPresenting===!0&&(Ae.cameraAutoUpdate===!0&&Ae.updateCamera(q),q=Ae.getCamera()),D.isScene===!0&&D.onBeforeRender(x,D,q,b),u=be.get(D,_.length),u.init(),_.push(u),ue.multiplyMatrices(q.projectionMatrix,q.matrixWorldInverse),G.setFromProjectionMatrix(ue),ae=this.localClippingEnabled,$=Fe.init(this.clippingPlanes,ae),y=ve.get(D,d.length),y.init(),d.push(y),fn(D,q,0,x.sortObjects),y.finish(),x.sortObjects===!0&&y.sort(X,V),this.info.render.frame++,$===!0&&Fe.beginShadows();let J=u.state.shadowsArray;if(ce.render(J,D,q),$===!0&&Fe.endShadows(),this.info.autoReset===!0&&this.info.reset(),je.render(y,D),u.setupLights(x._useLegacyLights),q.isArrayCamera){let K=q.cameras;for(let Z=0,we=K.length;Z<we;Z++){let Ie=K[Z];vu(y,D,Ie,Ie.viewport)}}else vu(y,D,q);b!==null&&(L.updateMultisampleRenderTarget(b),L.updateRenderTargetMipmap(b)),D.isScene===!0&&D.onAfterRender(x,D,q),O.resetDefaultState(),T=-1,M=null,_.pop(),_.length>0?u=_[_.length-1]:u=null,d.pop(),d.length>0?y=d[d.length-1]:y=null};function fn(D,q,J,K){if(D.visible===!1)return;if(D.layers.test(q.layers)){if(D.isGroup)J=D.renderOrder;else if(D.isLOD)D.autoUpdate===!0&&D.update(q);else if(D.isLight)u.pushLight(D),D.castShadow&&u.pushShadow(D);else if(D.isSprite){if(!D.frustumCulled||G.intersectsSprite(D)){K&&ye.setFromMatrixPosition(D.matrixWorld).applyMatrix4(ue);let Ie=se.update(D),Oe=D.material;Oe.visible&&y.push(D,Ie,Oe,J,ye.z,null)}}else if((D.isMesh||D.isLine||D.isPoints)&&(!D.frustumCulled||G.intersectsObject(D))){let Ie=se.update(D),Oe=D.material;if(K&&(D.boundingSphere!==void 0?(D.boundingSphere===null&&D.computeBoundingSphere(),ye.copy(D.boundingSphere.center)):(Ie.boundingSphere===null&&Ie.computeBoundingSphere(),ye.copy(Ie.boundingSphere.center)),ye.applyMatrix4(D.matrixWorld).applyMatrix4(ue)),Array.isArray(Oe)){let ke=Ie.groups;for(let Ze=0,Ve=ke.length;Ze<Ve;Ze++){let He=ke[Ze],ft=Oe[He.materialIndex];ft&&ft.visible&&y.push(D,Ie,ft,J,ye.z,He)}}else Oe.visible&&y.push(D,Ie,Oe,J,ye.z,null)}}let we=D.children;for(let Ie=0,Oe=we.length;Ie<Oe;Ie++)fn(we[Ie],q,J,K)}function vu(D,q,J,K){let Z=D.opaque,we=D.transmissive,Ie=D.transparent;u.setupLightsView(J),$===!0&&Fe.setGlobalState(x.clippingPlanes,J),we.length>0&&hm(Z,we,q,J),K&&j.viewport(S.copy(K)),Z.length>0&&qr(Z,q,J),we.length>0&&qr(we,q,J),Ie.length>0&&qr(Ie,q,J),j.buffers.depth.setTest(!0),j.buffers.depth.setMask(!0),j.buffers.color.setMask(!0),j.setPolygonOffset(!1)}function hm(D,q,J,K){if((J.isScene===!0?J.overrideMaterial:null)!==null)return;let we=le.isWebGL2;ge===null&&(ge=new Ht(1,1,{generateMipmaps:!0,type:Q.has("EXT_color_buffer_half_float")?ys:un,minFilter:ii,samples:we?4:0})),x.getDrawingBufferSize(oe),we?ge.setSize(oe.x,oe.y):ge.setSize(ja(oe.x),ja(oe.y));let Ie=x.getRenderTarget();x.setRenderTarget(ge),x.getClearColor(R),C=x.getClearAlpha(),C<1&&x.setClearColor(16777215,.5),x.clear();let Oe=x.toneMapping;x.toneMapping=Fn,qr(D,J,K),L.updateMultisampleRenderTarget(ge),L.updateRenderTargetMipmap(ge);let ke=!1;for(let Ze=0,Ve=q.length;Ze<Ve;Ze++){let He=q[Ze],ft=He.object,Xt=He.geometry,Ct=He.material,En=He.group;if(Ct.side===mn&&ft.layers.test(K.layers)){let at=Ct.side;Ct.side=Vt,Ct.needsUpdate=!0,Mu(ft,J,K,Xt,Ct,En),Ct.side=at,Ct.needsUpdate=!0,ke=!0}}ke===!0&&(L.updateMultisampleRenderTarget(ge),L.updateRenderTargetMipmap(ge)),x.setRenderTarget(Ie),x.setClearColor(R,C),x.toneMapping=Oe}function qr(D,q,J){let K=q.isScene===!0?q.overrideMaterial:null;for(let Z=0,we=D.length;Z<we;Z++){let Ie=D[Z],Oe=Ie.object,ke=Ie.geometry,Ze=K===null?Ie.material:K,Ve=Ie.group;Oe.layers.test(J.layers)&&Mu(Oe,q,J,ke,Ze,Ve)}}function Mu(D,q,J,K,Z,we){D.onBeforeRender(x,q,J,K,Z,we),D.modelViewMatrix.multiplyMatrices(J.matrixWorldInverse,D.matrixWorld),D.normalMatrix.getNormalMatrix(D.modelViewMatrix),Z.onBeforeRender(x,q,J,K,D,we),Z.transparent===!0&&Z.side===mn&&Z.forceSinglePass===!1?(Z.side=Vt,Z.needsUpdate=!0,x.renderBufferDirect(J,q,K,Z,D,we),Z.side=kn,Z.needsUpdate=!0,x.renderBufferDirect(J,q,K,Z,D,we),Z.side=mn):x.renderBufferDirect(J,q,K,Z,D,we),D.onAfterRender(x,q,J,K,Z,we)}function Zr(D,q,J){q.isScene!==!0&&(q=de);let K=xe.get(D),Z=u.state.lights,we=u.state.shadowsArray,Ie=Z.state.version,Oe=Te.getParameters(D,Z.state,we,q,J),ke=Te.getProgramCacheKey(Oe),Ze=K.programs;K.environment=D.isMeshStandardMaterial?q.environment:null,K.fog=q.fog,K.envMap=(D.isMeshStandardMaterial?k:E).get(D.envMap||K.environment),Ze===void 0&&(D.addEventListener("dispose",Me),Ze=new Map,K.programs=Ze);let Ve=Ze.get(ke);if(Ve!==void 0){if(K.currentProgram===Ve&&K.lightsStateVersion===Ie)return Su(D,Oe),Ve}else Oe.uniforms=Te.getUniforms(D),D.onBuild(J,Oe,x),D.onBeforeCompile(Oe,x),Ve=Te.acquireProgram(Oe,ke),Ze.set(ke,Ve),K.uniforms=Oe.uniforms;let He=K.uniforms;return(!D.isShaderMaterial&&!D.isRawShaderMaterial||D.clipping===!0)&&(He.clippingPlanes=Fe.uniform),Su(D,Oe),K.needsLights=fm(D),K.lightsStateVersion=Ie,K.needsLights&&(He.ambientLightColor.value=Z.state.ambient,He.lightProbe.value=Z.state.probe,He.directionalLights.value=Z.state.directional,He.directionalLightShadows.value=Z.state.directionalShadow,He.spotLights.value=Z.state.spot,He.spotLightShadows.value=Z.state.spotShadow,He.rectAreaLights.value=Z.state.rectArea,He.ltc_1.value=Z.state.rectAreaLTC1,He.ltc_2.value=Z.state.rectAreaLTC2,He.pointLights.value=Z.state.point,He.pointLightShadows.value=Z.state.pointShadow,He.hemisphereLights.value=Z.state.hemi,He.directionalShadowMap.value=Z.state.directionalShadowMap,He.directionalShadowMatrix.value=Z.state.directionalShadowMatrix,He.spotShadowMap.value=Z.state.spotShadowMap,He.spotLightMatrix.value=Z.state.spotLightMatrix,He.spotLightMap.value=Z.state.spotLightMap,He.pointShadowMap.value=Z.state.pointShadowMap,He.pointShadowMatrix.value=Z.state.pointShadowMatrix),K.currentProgram=Ve,K.uniformsList=null,Ve}function bu(D){if(D.uniformsList===null){let q=D.currentProgram.getUniforms();D.uniformsList=gs.seqWithValue(q.seq,D.uniforms)}return D.uniformsList}function Su(D,q){let J=xe.get(D);J.outputColorSpace=q.outputColorSpace,J.batching=q.batching,J.instancing=q.instancing,J.instancingColor=q.instancingColor,J.skinning=q.skinning,J.morphTargets=q.morphTargets,J.morphNormals=q.morphNormals,J.morphColors=q.morphColors,J.morphTargetsCount=q.morphTargetsCount,J.numClippingPlanes=q.numClippingPlanes,J.numIntersection=q.numClipIntersection,J.vertexAlphas=q.vertexAlphas,J.vertexTangents=q.vertexTangents,J.toneMapping=q.toneMapping}function um(D,q,J,K,Z){q.isScene!==!0&&(q=de),L.resetTextureUnits();let we=q.fog,Ie=K.isMeshStandardMaterial?q.environment:null,Oe=b===null?x.outputColorSpace:b.isXRRenderTarget===!0?b.texture.colorSpace:yn,ke=(K.isMeshStandardMaterial?k:E).get(K.envMap||Ie),Ze=K.vertexColors===!0&&!!J.attributes.color&&J.attributes.color.itemSize===4,Ve=!!J.attributes.tangent&&(!!K.normalMap||K.anisotropy>0),He=!!J.morphAttributes.position,ft=!!J.morphAttributes.normal,Xt=!!J.morphAttributes.color,Ct=Fn;K.toneMapped&&(b===null||b.isXRRenderTarget===!0)&&(Ct=x.toneMapping);let En=J.morphAttributes.position||J.morphAttributes.normal||J.morphAttributes.color,at=En!==void 0?En.length:0,Je=xe.get(K),ml=u.state.lights;if($===!0&&(ae===!0||D!==M)){let Qt=D===M&&K.id===T;Fe.setState(K,D,Qt)}let ct=!1;K.version===Je.__version?(Je.needsLights&&Je.lightsStateVersion!==ml.state.version||Je.outputColorSpace!==Oe||Z.isBatchedMesh&&Je.batching===!1||!Z.isBatchedMesh&&Je.batching===!0||Z.isInstancedMesh&&Je.instancing===!1||!Z.isInstancedMesh&&Je.instancing===!0||Z.isSkinnedMesh&&Je.skinning===!1||!Z.isSkinnedMesh&&Je.skinning===!0||Z.isInstancedMesh&&Je.instancingColor===!0&&Z.instanceColor===null||Z.isInstancedMesh&&Je.instancingColor===!1&&Z.instanceColor!==null||Je.envMap!==ke||K.fog===!0&&Je.fog!==we||Je.numClippingPlanes!==void 0&&(Je.numClippingPlanes!==Fe.numPlanes||Je.numIntersection!==Fe.numIntersection)||Je.vertexAlphas!==Ze||Je.vertexTangents!==Ve||Je.morphTargets!==He||Je.morphNormals!==ft||Je.morphColors!==Xt||Je.toneMapping!==Ct||le.isWebGL2===!0&&Je.morphTargetsCount!==at)&&(ct=!0):(ct=!0,Je.__version=K.version);let hi=Je.currentProgram;ct===!0&&(hi=Zr(K,q,Z));let Eu=!1,Us=!1,gl=!1,It=hi.getUniforms(),ui=Je.uniforms;if(j.useProgram(hi.program)&&(Eu=!0,Us=!0,gl=!0),K.id!==T&&(T=K.id,Us=!0),Eu||M!==D){It.setValue(F,"projectionMatrix",D.projectionMatrix),It.setValue(F,"viewMatrix",D.matrixWorldInverse);let Qt=It.map.cameraPosition;Qt!==void 0&&Qt.setValue(F,ye.setFromMatrixPosition(D.matrixWorld)),le.logarithmicDepthBuffer&&It.setValue(F,"logDepthBufFC",2/(Math.log(D.far+1)/Math.LN2)),(K.isMeshPhongMaterial||K.isMeshToonMaterial||K.isMeshLambertMaterial||K.isMeshBasicMaterial||K.isMeshStandardMaterial||K.isShaderMaterial)&&It.setValue(F,"isOrthographic",D.isOrthographicCamera===!0),M!==D&&(M=D,Us=!0,gl=!0)}if(Z.isSkinnedMesh){It.setOptional(F,Z,"bindMatrix"),It.setOptional(F,Z,"bindMatrixInverse");let Qt=Z.skeleton;Qt&&(le.floatVertexTextures?(Qt.boneTexture===null&&Qt.computeBoneTexture(),It.setValue(F,"boneTexture",Qt.boneTexture,L)):console.warn("THREE.WebGLRenderer: SkinnedMesh can only be used with WebGL 2. With WebGL 1 OES_texture_float and vertex textures support is required."))}Z.isBatchedMesh&&(It.setOptional(F,Z,"batchingTexture"),It.setValue(F,"batchingTexture",Z._matricesTexture,L));let yl=J.morphAttributes;if((yl.position!==void 0||yl.normal!==void 0||yl.color!==void 0&&le.isWebGL2===!0)&&qe.update(Z,J,hi),(Us||Je.receiveShadow!==Z.receiveShadow)&&(Je.receiveShadow=Z.receiveShadow,It.setValue(F,"receiveShadow",Z.receiveShadow)),K.isMeshGouraudMaterial&&K.envMap!==null&&(ui.envMap.value=ke,ui.flipEnvMap.value=ke.isCubeTexture&&ke.isRenderTargetTexture===!1?-1:1),Us&&(It.setValue(F,"toneMappingExposure",x.toneMappingExposure),Je.needsLights&&dm(ui,gl),we&&K.fog===!0&&pe.refreshFogUniforms(ui,we),pe.refreshMaterialUniforms(ui,K,H,B,ge),gs.upload(F,bu(Je),ui,L)),K.isShaderMaterial&&K.uniformsNeedUpdate===!0&&(gs.upload(F,bu(Je),ui,L),K.uniformsNeedUpdate=!1),K.isSpriteMaterial&&It.setValue(F,"center",Z.center),It.setValue(F,"modelViewMatrix",Z.modelViewMatrix),It.setValue(F,"normalMatrix",Z.normalMatrix),It.setValue(F,"modelMatrix",Z.matrixWorld),K.isShaderMaterial||K.isRawShaderMaterial){let Qt=K.uniformsGroups;for(let _l=0,pm=Qt.length;_l<pm;_l++)if(le.isWebGL2){let wu=Qt[_l];fe.update(wu,hi),fe.bind(wu,hi)}else console.warn("THREE.WebGLRenderer: Uniform Buffer Objects can only be used with WebGL 2.")}return hi}function dm(D,q){D.ambientLightColor.needsUpdate=q,D.lightProbe.needsUpdate=q,D.directionalLights.needsUpdate=q,D.directionalLightShadows.needsUpdate=q,D.pointLights.needsUpdate=q,D.pointLightShadows.needsUpdate=q,D.spotLights.needsUpdate=q,D.spotLightShadows.needsUpdate=q,D.rectAreaLights.needsUpdate=q,D.hemisphereLights.needsUpdate=q}function fm(D){return D.isMeshLambertMaterial||D.isMeshToonMaterial||D.isMeshPhongMaterial||D.isMeshStandardMaterial||D.isShadowMaterial||D.isShaderMaterial&&D.lights===!0}this.getActiveCubeFace=function(){return A},this.getActiveMipmapLevel=function(){return w},this.getRenderTarget=function(){return b},this.setRenderTargetTextures=function(D,q,J){xe.get(D.texture).__webglTexture=q,xe.get(D.depthTexture).__webglTexture=J;let K=xe.get(D);K.__hasExternalTextures=!0,K.__hasExternalTextures&&(K.__autoAllocateDepthBuffer=J===void 0,K.__autoAllocateDepthBuffer||Q.has("WEBGL_multisampled_render_to_texture")===!0&&(console.warn("THREE.WebGLRenderer: Render-to-texture extension was disabled because an external texture was provided"),K.__useRenderToTexture=!1))},this.setRenderTargetFramebuffer=function(D,q){let J=xe.get(D);J.__webglFramebuffer=q,J.__useDefaultFramebuffer=q===void 0},this.setRenderTarget=function(D,q=0,J=0){b=D,A=q,w=J;let K=!0,Z=null,we=!1,Ie=!1;if(D){let ke=xe.get(D);ke.__useDefaultFramebuffer!==void 0?(j.bindFramebuffer(F.FRAMEBUFFER,null),K=!1):ke.__webglFramebuffer===void 0?L.setupRenderTarget(D):ke.__hasExternalTextures&&L.rebindTextures(D,xe.get(D.texture).__webglTexture,xe.get(D.depthTexture).__webglTexture);let Ze=D.texture;(Ze.isData3DTexture||Ze.isDataArrayTexture||Ze.isCompressedArrayTexture)&&(Ie=!0);let Ve=xe.get(D).__webglFramebuffer;D.isWebGLCubeRenderTarget?(Array.isArray(Ve[q])?Z=Ve[q][J]:Z=Ve[q],we=!0):le.isWebGL2&&D.samples>0&&L.useMultisampledRTT(D)===!1?Z=xe.get(D).__webglMultisampledFramebuffer:Array.isArray(Ve)?Z=Ve[J]:Z=Ve,S.copy(D.viewport),N.copy(D.scissor),P=D.scissorTest}else S.copy(W).multiplyScalar(H).floor(),N.copy(Y).multiplyScalar(H).floor(),P=te;if(j.bindFramebuffer(F.FRAMEBUFFER,Z)&&le.drawBuffers&&K&&j.drawBuffers(D,Z),j.viewport(S),j.scissor(N),j.setScissorTest(P),we){let ke=xe.get(D.texture);F.framebufferTexture2D(F.FRAMEBUFFER,F.COLOR_ATTACHMENT0,F.TEXTURE_CUBE_MAP_POSITIVE_X+q,ke.__webglTexture,J)}else if(Ie){let ke=xe.get(D.texture),Ze=q||0;F.framebufferTextureLayer(F.FRAMEBUFFER,F.COLOR_ATTACHMENT0,ke.__webglTexture,J||0,Ze)}T=-1},this.readRenderTargetPixels=function(D,q,J,K,Z,we,Ie){if(!(D&&D.isWebGLRenderTarget)){console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.");return}let Oe=xe.get(D).__webglFramebuffer;if(D.isWebGLCubeRenderTarget&&Ie!==void 0&&(Oe=Oe[Ie]),Oe){j.bindFramebuffer(F.FRAMEBUFFER,Oe);try{let ke=D.texture,Ze=ke.format,Ve=ke.type;if(Ze!==Ft&&Ee.convert(Ze)!==F.getParameter(F.IMPLEMENTATION_COLOR_READ_FORMAT)){console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in RGBA or implementation defined format.");return}let He=Ve===ys&&(Q.has("EXT_color_buffer_half_float")||le.isWebGL2&&Q.has("EXT_color_buffer_float"));if(Ve!==un&&Ee.convert(Ve)!==F.getParameter(F.IMPLEMENTATION_COLOR_READ_TYPE)&&!(Ve===cn&&(le.isWebGL2||Q.has("OES_texture_float")||Q.has("WEBGL_color_buffer_float")))&&!He){console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in UnsignedByteType or implementation defined type.");return}q>=0&&q<=D.width-K&&J>=0&&J<=D.height-Z&&F.readPixels(q,J,K,Z,Ee.convert(Ze),Ee.convert(Ve),we)}finally{let ke=b!==null?xe.get(b).__webglFramebuffer:null;j.bindFramebuffer(F.FRAMEBUFFER,ke)}}},this.copyFramebufferToTexture=function(D,q,J=0){let K=Math.pow(2,-J),Z=Math.floor(q.image.width*K),we=Math.floor(q.image.height*K);L.setTexture2D(q,0),F.copyTexSubImage2D(F.TEXTURE_2D,J,0,0,D.x,D.y,Z,we),j.unbindTexture()},this.copyTextureToTexture=function(D,q,J,K=0){let Z=q.image.width,we=q.image.height,Ie=Ee.convert(J.format),Oe=Ee.convert(J.type);L.setTexture2D(J,0),F.pixelStorei(F.UNPACK_FLIP_Y_WEBGL,J.flipY),F.pixelStorei(F.UNPACK_PREMULTIPLY_ALPHA_WEBGL,J.premultiplyAlpha),F.pixelStorei(F.UNPACK_ALIGNMENT,J.unpackAlignment),q.isDataTexture?F.texSubImage2D(F.TEXTURE_2D,K,D.x,D.y,Z,we,Ie,Oe,q.image.data):q.isCompressedTexture?F.compressedTexSubImage2D(F.TEXTURE_2D,K,D.x,D.y,q.mipmaps[0].width,q.mipmaps[0].height,Ie,q.mipmaps[0].data):F.texSubImage2D(F.TEXTURE_2D,K,D.x,D.y,Ie,Oe,q.image),K===0&&J.generateMipmaps&&F.generateMipmap(F.TEXTURE_2D),j.unbindTexture()},this.copyTextureToTexture3D=function(D,q,J,K,Z=0){if(x.isWebGL1Renderer){console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: can only be used with WebGL2.");return}let we=D.max.x-D.min.x+1,Ie=D.max.y-D.min.y+1,Oe=D.max.z-D.min.z+1,ke=Ee.convert(K.format),Ze=Ee.convert(K.type),Ve;if(K.isData3DTexture)L.setTexture3D(K,0),Ve=F.TEXTURE_3D;else if(K.isDataArrayTexture||K.isCompressedArrayTexture)L.setTexture2DArray(K,0),Ve=F.TEXTURE_2D_ARRAY;else{console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: only supports THREE.DataTexture3D and THREE.DataTexture2DArray.");return}F.pixelStorei(F.UNPACK_FLIP_Y_WEBGL,K.flipY),F.pixelStorei(F.UNPACK_PREMULTIPLY_ALPHA_WEBGL,K.premultiplyAlpha),F.pixelStorei(F.UNPACK_ALIGNMENT,K.unpackAlignment);let He=F.getParameter(F.UNPACK_ROW_LENGTH),ft=F.getParameter(F.UNPACK_IMAGE_HEIGHT),Xt=F.getParameter(F.UNPACK_SKIP_PIXELS),Ct=F.getParameter(F.UNPACK_SKIP_ROWS),En=F.getParameter(F.UNPACK_SKIP_IMAGES),at=J.isCompressedTexture?J.mipmaps[Z]:J.image;F.pixelStorei(F.UNPACK_ROW_LENGTH,at.width),F.pixelStorei(F.UNPACK_IMAGE_HEIGHT,at.height),F.pixelStorei(F.UNPACK_SKIP_PIXELS,D.min.x),F.pixelStorei(F.UNPACK_SKIP_ROWS,D.min.y),F.pixelStorei(F.UNPACK_SKIP_IMAGES,D.min.z),J.isDataTexture||J.isData3DTexture?F.texSubImage3D(Ve,Z,q.x,q.y,q.z,we,Ie,Oe,ke,Ze,at.data):J.isCompressedArrayTexture?(console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: untested support for compressed srcTexture."),F.compressedTexSubImage3D(Ve,Z,q.x,q.y,q.z,we,Ie,Oe,ke,at.data)):F.texSubImage3D(Ve,Z,q.x,q.y,q.z,we,Ie,Oe,ke,Ze,at),F.pixelStorei(F.UNPACK_ROW_LENGTH,He),F.pixelStorei(F.UNPACK_IMAGE_HEIGHT,ft),F.pixelStorei(F.UNPACK_SKIP_PIXELS,Xt),F.pixelStorei(F.UNPACK_SKIP_ROWS,Ct),F.pixelStorei(F.UNPACK_SKIP_IMAGES,En),Z===0&&K.generateMipmaps&&F.generateMipmap(Ve),j.unbindTexture()},this.initTexture=function(D){D.isCubeTexture?L.setTextureCube(D,0):D.isData3DTexture?L.setTexture3D(D,0):D.isDataArrayTexture||D.isCompressedArrayTexture?L.setTexture2DArray(D,0):L.setTexture2D(D,0),j.unbindTexture()},this.resetState=function(){A=0,w=0,b=null,j.reset(),O.reset()},typeof __THREE_DEVTOOLS__<"u"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe",{detail:this}))}get coordinateSystem(){return hn}get outputColorSpace(){return this._outputColorSpace}set outputColorSpace(e){this._outputColorSpace=e;let t=this.getContext();t.drawingBufferColorSpace=e===cl?"display-p3":"srgb",t.unpackColorSpace=it.workingColorSpace===Xr?"display-p3":"srgb"}get outputEncoding(){return console.warn("THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead."),this.outputColorSpace===gt?ti:cu}set outputEncoding(e){console.warn("THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead."),this.outputColorSpace=e===ti?gt:yn}get useLegacyLights(){return console.warn("THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733."),this._useLegacyLights}set useLegacyLights(e){console.warn("THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733."),this._useLegacyLights=e}},io=class extends ws{};io.prototype.isWebGL1Renderer=!0;var so=class s{constructor(e,t=25e-5){this.isFogExp2=!0,this.name="",this.color=new Se(e),this.density=t}clone(){return new s(this.color,this.density)}toJSON(){return{type:"FogExp2",name:this.name,color:this.color.getHex(),density:this.density}}},ro=class s{constructor(e,t=1,n=1e3){this.isFog=!0,this.name="",this.color=new Se(e),this.near=t,this.far=n}clone(){return new s(this.color,this.near,this.far)}toJSON(){return{type:"Fog",name:this.name,color:this.color.getHex(),near:this.near,far:this.far}}},Ts=class extends tt{constructor(){super(),this.isScene=!0,this.type="Scene",this.background=null,this.environment=null,this.fog=null,this.backgroundBlurriness=0,this.backgroundIntensity=1,this.overrideMaterial=null,typeof __THREE_DEVTOOLS__<"u"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe",{detail:this}))}copy(e,t){return super.copy(e,t),e.background!==null&&(this.background=e.background.clone()),e.environment!==null&&(this.environment=e.environment.clone()),e.fog!==null&&(this.fog=e.fog.clone()),this.backgroundBlurriness=e.backgroundBlurriness,this.backgroundIntensity=e.backgroundIntensity,e.overrideMaterial!==null&&(this.overrideMaterial=e.overrideMaterial.clone()),this.matrixAutoUpdate=e.matrixAutoUpdate,this}toJSON(e){let t=super.toJSON(e);return this.fog!==null&&(t.object.fog=this.fog.toJSON()),this.backgroundBlurriness>0&&(t.object.backgroundBlurriness=this.backgroundBlurriness),this.backgroundIntensity!==1&&(t.object.backgroundIntensity=this.backgroundIntensity),t}},As=class{constructor(e,t){this.isInterleavedBuffer=!0,this.array=e,this.stride=t,this.count=e!==void 0?e.length/t:0,this.usage=ur,this._updateRange={offset:0,count:-1},this.updateRanges=[],this.version=0,this.uuid=Jt()}onUploadCallback(){}set needsUpdate(e){e===!0&&this.version++}get updateRange(){return console.warn("THREE.InterleavedBuffer: updateRange() is deprecated and will be removed in r169. Use addUpdateRange() instead."),this._updateRange}setUsage(e){return this.usage=e,this}addUpdateRange(e,t){this.updateRanges.push({start:e,count:t})}clearUpdateRanges(){this.updateRanges.length=0}copy(e){return this.array=new e.array.constructor(e.array),this.count=e.count,this.stride=e.stride,this.usage=e.usage,this}copyAt(e,t,n){e*=this.stride,n*=t.stride;for(let i=0,r=this.stride;i<r;i++)this.array[e+i]=t.array[n+i];return this}set(e,t=0){return this.array.set(e,t),this}clone(e){e.arrayBuffers===void 0&&(e.arrayBuffers={}),this.array.buffer._uuid===void 0&&(this.array.buffer._uuid=Jt()),e.arrayBuffers[this.array.buffer._uuid]===void 0&&(e.arrayBuffers[this.array.buffer._uuid]=this.array.slice(0).buffer);let t=new this.array.constructor(e.arrayBuffers[this.array.buffer._uuid]),n=new this.constructor(t,this.stride);return n.setUsage(this.usage),n}onUpload(e){return this.onUploadCallback=e,this}toJSON(e){return e.arrayBuffers===void 0&&(e.arrayBuffers={}),this.array.buffer._uuid===void 0&&(this.array.buffer._uuid=Jt()),e.arrayBuffers[this.array.buffer._uuid]===void 0&&(e.arrayBuffers[this.array.buffer._uuid]=Array.from(new Uint32Array(this.array.buffer))),{uuid:this.uuid,buffer:this.array.buffer._uuid,type:this.array.constructor.name,stride:this.stride}}},zt=new U,Ui=class s{constructor(e,t,n,i=!1){this.isInterleavedBufferAttribute=!0,this.name="",this.data=e,this.itemSize=t,this.offset=n,this.normalized=i}get count(){return this.data.count}get array(){return this.data.array}set needsUpdate(e){this.data.needsUpdate=e}applyMatrix4(e){for(let t=0,n=this.data.count;t<n;t++)zt.fromBufferAttribute(this,t),zt.applyMatrix4(e),this.setXYZ(t,zt.x,zt.y,zt.z);return this}applyNormalMatrix(e){for(let t=0,n=this.count;t<n;t++)zt.fromBufferAttribute(this,t),zt.applyNormalMatrix(e),this.setXYZ(t,zt.x,zt.y,zt.z);return this}transformDirection(e){for(let t=0,n=this.count;t<n;t++)zt.fromBufferAttribute(this,t),zt.transformDirection(e),this.setXYZ(t,zt.x,zt.y,zt.z);return this}setX(e,t){return this.normalized&&(t=We(t,this.array)),this.data.array[e*this.data.stride+this.offset]=t,this}setY(e,t){return this.normalized&&(t=We(t,this.array)),this.data.array[e*this.data.stride+this.offset+1]=t,this}setZ(e,t){return this.normalized&&(t=We(t,this.array)),this.data.array[e*this.data.stride+this.offset+2]=t,this}setW(e,t){return this.normalized&&(t=We(t,this.array)),this.data.array[e*this.data.stride+this.offset+3]=t,this}getX(e){let t=this.data.array[e*this.data.stride+this.offset];return this.normalized&&(t=Wt(t,this.array)),t}getY(e){let t=this.data.array[e*this.data.stride+this.offset+1];return this.normalized&&(t=Wt(t,this.array)),t}getZ(e){let t=this.data.array[e*this.data.stride+this.offset+2];return this.normalized&&(t=Wt(t,this.array)),t}getW(e){let t=this.data.array[e*this.data.stride+this.offset+3];return this.normalized&&(t=Wt(t,this.array)),t}setXY(e,t,n){return e=e*this.data.stride+this.offset,this.normalized&&(t=We(t,this.array),n=We(n,this.array)),this.data.array[e+0]=t,this.data.array[e+1]=n,this}setXYZ(e,t,n,i){return e=e*this.data.stride+this.offset,this.normalized&&(t=We(t,this.array),n=We(n,this.array),i=We(i,this.array)),this.data.array[e+0]=t,this.data.array[e+1]=n,this.data.array[e+2]=i,this}setXYZW(e,t,n,i,r){return e=e*this.data.stride+this.offset,this.normalized&&(t=We(t,this.array),n=We(n,this.array),i=We(i,this.array),r=We(r,this.array)),this.data.array[e+0]=t,this.data.array[e+1]=n,this.data.array[e+2]=i,this.data.array[e+3]=r,this}clone(e){if(e===void 0){console.log("THREE.InterleavedBufferAttribute.clone(): Cloning an interleaved buffer attribute will de-interleave buffer data.");let t=[];for(let n=0;n<this.count;n++){let i=n*this.data.stride+this.offset;for(let r=0;r<this.itemSize;r++)t.push(this.data.array[i+r])}return new et(new this.array.constructor(t),this.itemSize,this.normalized)}else return e.interleavedBuffers===void 0&&(e.interleavedBuffers={}),e.interleavedBuffers[this.data.uuid]===void 0&&(e.interleavedBuffers[this.data.uuid]=this.data.clone(e)),new s(e.interleavedBuffers[this.data.uuid],this.itemSize,this.offset,this.normalized)}toJSON(e){if(e===void 0){console.log("THREE.InterleavedBufferAttribute.toJSON(): Serializing an interleaved buffer attribute will de-interleave buffer data.");let t=[];for(let n=0;n<this.count;n++){let i=n*this.data.stride+this.offset;for(let r=0;r<this.itemSize;r++)t.push(this.data.array[i+r])}return{itemSize:this.itemSize,type:this.array.constructor.name,array:t,normalized:this.normalized}}else return e.interleavedBuffers===void 0&&(e.interleavedBuffers={}),e.interleavedBuffers[this.data.uuid]===void 0&&(e.interleavedBuffers[this.data.uuid]=this.data.toJSON(e)),{isInterleavedBufferAttribute:!0,itemSize:this.itemSize,data:this.data.uuid,offset:this.offset,normalized:this.normalized}}},Sr=class extends Pt{constructor(e){super(),this.isSpriteMaterial=!0,this.type="SpriteMaterial",this.color=new Se(16777215),this.map=null,this.alphaMap=null,this.rotation=0,this.sizeAttenuation=!0,this.transparent=!0,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.alphaMap=e.alphaMap,this.rotation=e.rotation,this.sizeAttenuation=e.sizeAttenuation,this.fog=e.fog,this}},rs,ks=new U,as=new U,os=new U,ls=new ne,Vs=new ne,Fp=new Be,_a=new U,Hs=new U,xa=new U,Ld=new ne,Gl=new ne,Id=new ne,ao=class extends tt{constructor(e=new Sr){if(super(),this.isSprite=!0,this.type="Sprite",rs===void 0){rs=new Ye;let t=new Float32Array([-.5,-.5,0,0,0,.5,-.5,0,1,0,.5,.5,0,1,1,-.5,.5,0,0,1]),n=new As(t,5);rs.setIndex([0,1,2,0,2,3]),rs.setAttribute("position",new Ui(n,3,0,!1)),rs.setAttribute("uv",new Ui(n,2,3,!1))}this.geometry=rs,this.material=e,this.center=new ne(.5,.5)}raycast(e,t){e.camera===null&&console.error('THREE.Sprite: "Raycaster.camera" needs to be set in order to raycast against sprites.'),as.setFromMatrixScale(this.matrixWorld),Fp.copy(e.camera.matrixWorld),this.modelViewMatrix.multiplyMatrices(e.camera.matrixWorldInverse,this.matrixWorld),os.setFromMatrixPosition(this.modelViewMatrix),e.camera.isPerspectiveCamera&&this.material.sizeAttenuation===!1&&as.multiplyScalar(-os.z);let n=this.material.rotation,i,r;n!==0&&(r=Math.cos(n),i=Math.sin(n));let a=this.center;va(_a.set(-.5,-.5,0),os,a,as,i,r),va(Hs.set(.5,-.5,0),os,a,as,i,r),va(xa.set(.5,.5,0),os,a,as,i,r),Ld.set(0,0),Gl.set(1,0),Id.set(1,1);let o=e.ray.intersectTriangle(_a,Hs,xa,!1,ks);if(o===null&&(va(Hs.set(-.5,.5,0),os,a,as,i,r),Gl.set(0,1),o=e.ray.intersectTriangle(_a,xa,Hs,!1,ks),o===null))return;let l=e.ray.origin.distanceTo(ks);l<e.near||l>e.far||t.push({distance:l,point:ks.clone(),uv:Nn.getInterpolation(ks,_a,Hs,xa,Ld,Gl,Id,new ne),face:null,object:this})}copy(e,t){return super.copy(e,t),e.center!==void 0&&this.center.copy(e.center),this.material=e.material,this}};function va(s,e,t,n,i,r){ls.subVectors(s,t).addScalar(.5).multiply(n),i!==void 0?(Vs.x=r*ls.x-i*ls.y,Vs.y=i*ls.x+r*ls.y):Vs.copy(ls),s.copy(e),s.x+=Vs.x,s.y+=Vs.y,s.applyMatrix4(Fp)}var Ma=new U,Dd=new U,oo=class extends tt{constructor(){super(),this._currentLevel=0,this.type="LOD",Object.defineProperties(this,{levels:{enumerable:!0,value:[]},isLOD:{value:!0}}),this.autoUpdate=!0}copy(e){super.copy(e,!1);let t=e.levels;for(let n=0,i=t.length;n<i;n++){let r=t[n];this.addLevel(r.object.clone(),r.distance,r.hysteresis)}return this.autoUpdate=e.autoUpdate,this}addLevel(e,t=0,n=0){t=Math.abs(t);let i=this.levels,r;for(r=0;r<i.length&&!(t<i[r].distance);r++);return i.splice(r,0,{distance:t,hysteresis:n,object:e}),this.add(e),this}getCurrentLevel(){return this._currentLevel}getObjectForDistance(e){let t=this.levels;if(t.length>0){let n,i;for(n=1,i=t.length;n<i;n++){let r=t[n].distance;if(t[n].object.visible&&(r-=r*t[n].hysteresis),e<r)break}return t[n-1].object}return null}raycast(e,t){if(this.levels.length>0){Ma.setFromMatrixPosition(this.matrixWorld);let i=e.ray.origin.distanceTo(Ma);this.getObjectForDistance(i).raycast(e,t)}}update(e){let t=this.levels;if(t.length>1){Ma.setFromMatrixPosition(e.matrixWorld),Dd.setFromMatrixPosition(this.matrixWorld);let n=Ma.distanceTo(Dd)/e.zoom;t[0].object.visible=!0;let i,r;for(i=1,r=t.length;i<r;i++){let a=t[i].distance;if(t[i].object.visible&&(a-=a*t[i].hysteresis),n>=a)t[i-1].object.visible=!1,t[i].object.visible=!0;else break}for(this._currentLevel=i-1;i<r;i++)t[i].object.visible=!1}}toJSON(e){let t=super.toJSON(e);this.autoUpdate===!1&&(t.object.autoUpdate=!1),t.object.levels=[];let n=this.levels;for(let i=0,r=n.length;i<r;i++){let a=n[i];t.object.levels.push({object:a.object.uuid,distance:a.distance,hysteresis:a.hysteresis})}return t}},Nd=new U,Ud=new st,Od=new st,av=new U,Fd=new Be,ba=new U,Wl=new vt,Bd=new Be,Xl=new _n,lo=class extends xt{constructor(e,t){super(e,t),this.isSkinnedMesh=!0,this.type="SkinnedMesh",this.bindMode=cc,this.bindMatrix=new Be,this.bindMatrixInverse=new Be,this.boundingBox=null,this.boundingSphere=null}computeBoundingBox(){let e=this.geometry;this.boundingBox===null&&(this.boundingBox=new Et),this.boundingBox.makeEmpty();let t=e.getAttribute("position");for(let n=0;n<t.count;n++)this.getVertexPosition(n,ba),this.boundingBox.expandByPoint(ba)}computeBoundingSphere(){let e=this.geometry;this.boundingSphere===null&&(this.boundingSphere=new vt),this.boundingSphere.makeEmpty();let t=e.getAttribute("position");for(let n=0;n<t.count;n++)this.getVertexPosition(n,ba),this.boundingSphere.expandByPoint(ba)}copy(e,t){return super.copy(e,t),this.bindMode=e.bindMode,this.bindMatrix.copy(e.bindMatrix),this.bindMatrixInverse.copy(e.bindMatrixInverse),this.skeleton=e.skeleton,e.boundingBox!==null&&(this.boundingBox=e.boundingBox.clone()),e.boundingSphere!==null&&(this.boundingSphere=e.boundingSphere.clone()),this}raycast(e,t){let n=this.material,i=this.matrixWorld;n!==void 0&&(this.boundingSphere===null&&this.computeBoundingSphere(),Wl.copy(this.boundingSphere),Wl.applyMatrix4(i),e.ray.intersectsSphere(Wl)!==!1&&(Bd.copy(i).invert(),Xl.copy(e.ray).applyMatrix4(Bd),!(this.boundingBox!==null&&Xl.intersectsBox(this.boundingBox)===!1)&&this._computeIntersections(e,t,Xl)))}getVertexPosition(e,t){return super.getVertexPosition(e,t),this.applyBoneTransform(e,t),t}bind(e,t){this.skeleton=e,t===void 0&&(this.updateMatrixWorld(!0),this.skeleton.calculateInverses(),t=this.matrixWorld),this.bindMatrix.copy(t),this.bindMatrixInverse.copy(t).invert()}pose(){this.skeleton.pose()}normalizeSkinWeights(){let e=new st,t=this.geometry.attributes.skinWeight;for(let n=0,i=t.count;n<i;n++){e.fromBufferAttribute(t,n);let r=1/e.manhattanLength();r!==1/0?e.multiplyScalar(r):e.set(1,0,0,0),t.setXYZW(n,e.x,e.y,e.z,e.w)}}updateMatrixWorld(e){super.updateMatrixWorld(e),this.bindMode===cc?this.bindMatrixInverse.copy(this.matrixWorld).invert():this.bindMode===ip?this.bindMatrixInverse.copy(this.bindMatrix).invert():console.warn("THREE.SkinnedMesh: Unrecognized bindMode: "+this.bindMode)}applyBoneTransform(e,t){let n=this.skeleton,i=this.geometry;Ud.fromBufferAttribute(i.attributes.skinIndex,e),Od.fromBufferAttribute(i.attributes.skinWeight,e),Nd.copy(t).applyMatrix4(this.bindMatrix),t.set(0,0,0);for(let r=0;r<4;r++){let a=Od.getComponent(r);if(a!==0){let o=Ud.getComponent(r);Fd.multiplyMatrices(n.bones[o].matrixWorld,n.boneInverses[o]),t.addScaledVector(av.copy(Nd).applyMatrix4(Fd),a)}}return t.applyMatrix4(this.bindMatrixInverse)}boneTransform(e,t){return console.warn("THREE.SkinnedMesh: .boneTransform() was renamed to .applyBoneTransform() in r151."),this.applyBoneTransform(e,t)}},Er=class extends tt{constructor(){super(),this.isBone=!0,this.type="Bone"}},Bn=class extends wt{constructor(e=null,t=1,n=1,i,r,a,o,l,c=mt,h=mt,f,p){super(null,a,o,l,c,h,i,r,f,p),this.isDataTexture=!0,this.image={data:e,width:t,height:n},this.generateMipmaps=!1,this.flipY=!1,this.unpackAlignment=1}},zd=new Be,ov=new Be,co=class s{constructor(e=[],t=[]){this.uuid=Jt(),this.bones=e.slice(0),this.boneInverses=t,this.boneMatrices=null,this.boneTexture=null,this.init()}init(){let e=this.bones,t=this.boneInverses;if(this.boneMatrices=new Float32Array(e.length*16),t.length===0)this.calculateInverses();else if(e.length!==t.length){console.warn("THREE.Skeleton: Number of inverse bone matrices does not match amount of bones."),this.boneInverses=[];for(let n=0,i=this.bones.length;n<i;n++)this.boneInverses.push(new Be)}}calculateInverses(){this.boneInverses.length=0;for(let e=0,t=this.bones.length;e<t;e++){let n=new Be;this.bones[e]&&n.copy(this.bones[e].matrixWorld).invert(),this.boneInverses.push(n)}}pose(){for(let e=0,t=this.bones.length;e<t;e++){let n=this.bones[e];n&&n.matrixWorld.copy(this.boneInverses[e]).invert()}for(let e=0,t=this.bones.length;e<t;e++){let n=this.bones[e];n&&(n.parent&&n.parent.isBone?(n.matrix.copy(n.parent.matrixWorld).invert(),n.matrix.multiply(n.matrixWorld)):n.matrix.copy(n.matrixWorld),n.matrix.decompose(n.position,n.quaternion,n.scale))}}update(){let e=this.bones,t=this.boneInverses,n=this.boneMatrices,i=this.boneTexture;for(let r=0,a=e.length;r<a;r++){let o=e[r]?e[r].matrixWorld:ov;zd.multiplyMatrices(o,t[r]),zd.toArray(n,r*16)}i!==null&&(i.needsUpdate=!0)}clone(){return new s(this.bones,this.boneInverses)}computeBoneTexture(){let e=Math.sqrt(this.bones.length*4);e=Math.ceil(e/4)*4,e=Math.max(e,4);let t=new Float32Array(e*e*4);t.set(this.boneMatrices);let n=new Bn(t,e,e,Ft,cn);return n.needsUpdate=!0,this.boneMatrices=t,this.boneTexture=n,this}getBoneByName(e){for(let t=0,n=this.bones.length;t<n;t++){let i=this.bones[t];if(i.name===e)return i}}dispose(){this.boneTexture!==null&&(this.boneTexture.dispose(),this.boneTexture=null)}fromJSON(e,t){this.uuid=e.uuid;for(let n=0,i=e.bones.length;n<i;n++){let r=e.bones[n],a=t[r];a===void 0&&(console.warn("THREE.Skeleton: No bone found with UUID:",r),a=new Er),this.bones.push(a),this.boneInverses.push(new Be().fromArray(e.boneInverses[n]))}return this.init(),this}toJSON(){let e={metadata:{version:4.6,type:"Skeleton",generator:"Skeleton.toJSON"},bones:[],boneInverses:[]};e.uuid=this.uuid;let t=this.bones,n=this.boneInverses;for(let i=0,r=t.length;i<r;i++){let a=t[i];e.bones.push(a.uuid);let o=n[i];e.boneInverses.push(o.toArray())}return e}},si=class extends et{constructor(e,t,n,i=1){super(e,t,n),this.isInstancedBufferAttribute=!0,this.meshPerAttribute=i}copy(e){return super.copy(e),this.meshPerAttribute=e.meshPerAttribute,this}toJSON(){let e=super.toJSON();return e.meshPerAttribute=this.meshPerAttribute,e.isInstancedBufferAttribute=!0,e}},cs=new Be,kd=new Be,Sa=[],Vd=new Et,lv=new Be,Gs=new xt,Ws=new vt,ho=class extends xt{constructor(e,t,n){super(e,t),this.isInstancedMesh=!0,this.instanceMatrix=new si(new Float32Array(n*16),16),this.instanceColor=null,this.count=n,this.boundingBox=null,this.boundingSphere=null;for(let i=0;i<n;i++)this.setMatrixAt(i,lv)}computeBoundingBox(){let e=this.geometry,t=this.count;this.boundingBox===null&&(this.boundingBox=new Et),e.boundingBox===null&&e.computeBoundingBox(),this.boundingBox.makeEmpty();for(let n=0;n<t;n++)this.getMatrixAt(n,cs),Vd.copy(e.boundingBox).applyMatrix4(cs),this.boundingBox.union(Vd)}computeBoundingSphere(){let e=this.geometry,t=this.count;this.boundingSphere===null&&(this.boundingSphere=new vt),e.boundingSphere===null&&e.computeBoundingSphere(),this.boundingSphere.makeEmpty();for(let n=0;n<t;n++)this.getMatrixAt(n,cs),Ws.copy(e.boundingSphere).applyMatrix4(cs),this.boundingSphere.union(Ws)}copy(e,t){return super.copy(e,t),this.instanceMatrix.copy(e.instanceMatrix),e.instanceColor!==null&&(this.instanceColor=e.instanceColor.clone()),this.count=e.count,e.boundingBox!==null&&(this.boundingBox=e.boundingBox.clone()),e.boundingSphere!==null&&(this.boundingSphere=e.boundingSphere.clone()),this}getColorAt(e,t){t.fromArray(this.instanceColor.array,e*3)}getMatrixAt(e,t){t.fromArray(this.instanceMatrix.array,e*16)}raycast(e,t){let n=this.matrixWorld,i=this.count;if(Gs.geometry=this.geometry,Gs.material=this.material,Gs.material!==void 0&&(this.boundingSphere===null&&this.computeBoundingSphere(),Ws.copy(this.boundingSphere),Ws.applyMatrix4(n),e.ray.intersectsSphere(Ws)!==!1))for(let r=0;r<i;r++){this.getMatrixAt(r,cs),kd.multiplyMatrices(n,cs),Gs.matrixWorld=kd,Gs.raycast(e,Sa);for(let a=0,o=Sa.length;a<o;a++){let l=Sa[a];l.instanceId=r,l.object=this,t.push(l)}Sa.length=0}}setColorAt(e,t){this.instanceColor===null&&(this.instanceColor=new si(new Float32Array(this.instanceMatrix.count*3),3)),t.toArray(this.instanceColor.array,e*3)}setMatrixAt(e,t){t.toArray(this.instanceMatrix.array,e*16)}updateMorphTargets(){}dispose(){this.dispatchEvent({type:"dispose"})}};function cv(s,e){return s.z-e.z}function hv(s,e){return e.z-s.z}var th=class{constructor(){this.index=0,this.pool=[],this.list=[]}push(e,t){let n=this.pool,i=this.list;this.index>=n.length&&n.push({start:-1,count:-1,z:-1});let r=n[this.index];i.push(r),this.index++,r.start=e.start,r.count=e.count,r.z=t}reset(){this.list.length=0,this.index=0}},hs="batchId",Jn=new Be,Hd=new Be,uv=new Be,Gd=new Be,Yl=new Ni,Ea=new Et,yi=new vt,Xs=new U,ql=new th,Ut=new xt,wa=[];function dv(s,e,t=0){let n=e.itemSize;if(s.isInterleavedBufferAttribute||s.array.constructor!==e.array.constructor){let i=s.count;for(let r=0;r<i;r++)for(let a=0;a<n;a++)e.setComponent(r+t,a,s.getComponent(r,a))}else e.array.set(s.array,t*n);e.needsUpdate=!0}var uo=class extends xt{get maxGeometryCount(){return this._maxGeometryCount}constructor(e,t,n=t*2,i){super(new Ye,i),this.isBatchedMesh=!0,this.perObjectFrustumCulled=!0,this.sortObjects=!0,this.boundingBox=null,this.boundingSphere=null,this.customSort=null,this._drawRanges=[],this._reservedRanges=[],this._visibility=[],this._active=[],this._bounds=[],this._maxGeometryCount=e,this._maxVertexCount=t,this._maxIndexCount=n,this._geometryInitialized=!1,this._geometryCount=0,this._multiDrawCounts=new Int32Array(e),this._multiDrawStarts=new Int32Array(e),this._multiDrawCount=0,this._visibilityChanged=!0,this._matricesTexture=null,this._initMatricesTexture()}_initMatricesTexture(){let e=Math.sqrt(this._maxGeometryCount*4);e=Math.ceil(e/4)*4,e=Math.max(e,4);let t=new Float32Array(e*e*4),n=new Bn(t,e,e,Ft,cn);this._matricesTexture=n}_initializeGeometry(e){let t=this.geometry,n=this._maxVertexCount,i=this._maxGeometryCount,r=this._maxIndexCount;if(this._geometryInitialized===!1){for(let o in e.attributes){let l=e.getAttribute(o),{array:c,itemSize:h,normalized:f}=l,p=new c.constructor(n*h),m=new l.constructor(p,h,f);m.setUsage(l.usage),t.setAttribute(o,m)}if(e.getIndex()!==null){let o=n>65536?new Uint32Array(r):new Uint16Array(r);t.setIndex(new et(o,1))}let a=i>65536?new Uint32Array(n):new Uint16Array(n);t.setAttribute(hs,new et(a,1)),this._geometryInitialized=!0}}_validateGeometry(e){if(e.getAttribute(hs))throw new Error(`BatchedMesh: Geometry cannot use attribute "${hs}"`);let t=this.geometry;if(!!e.getIndex()!=!!t.getIndex())throw new Error('BatchedMesh: All geometries must consistently have "index".');for(let n in t.attributes){if(n===hs)continue;if(!e.hasAttribute(n))throw new Error(`BatchedMesh: Added geometry missing "${n}". All geometries must have consistent attributes.`);let i=e.getAttribute(n),r=t.getAttribute(n);if(i.itemSize!==r.itemSize||i.normalized!==r.normalized)throw new Error("BatchedMesh: All attributes must have a consistent itemSize and normalized value.")}}setCustomSort(e){return this.customSort=e,this}computeBoundingBox(){this.boundingBox===null&&(this.boundingBox=new Et);let e=this._geometryCount,t=this.boundingBox,n=this._active;t.makeEmpty();for(let i=0;i<e;i++)n[i]!==!1&&(this.getMatrixAt(i,Jn),this.getBoundingBoxAt(i,Ea).applyMatrix4(Jn),t.union(Ea))}computeBoundingSphere(){this.boundingSphere===null&&(this.boundingSphere=new vt);let e=this._geometryCount,t=this.boundingSphere,n=this._active;t.makeEmpty();for(let i=0;i<e;i++)n[i]!==!1&&(this.getMatrixAt(i,Jn),this.getBoundingSphereAt(i,yi).applyMatrix4(Jn),t.union(yi))}addGeometry(e,t=-1,n=-1){if(this._initializeGeometry(e),this._validateGeometry(e),this._geometryCount>=this._maxGeometryCount)throw new Error("BatchedMesh: Maximum geometry count reached.");let i={vertexStart:-1,vertexCount:-1,indexStart:-1,indexCount:-1},r=null,a=this._reservedRanges,o=this._drawRanges,l=this._bounds;this._geometryCount!==0&&(r=a[a.length-1]),t===-1?i.vertexCount=e.getAttribute("position").count:i.vertexCount=t,r===null?i.vertexStart=0:i.vertexStart=r.vertexStart+r.vertexCount;let c=e.getIndex(),h=c!==null;if(h&&(n===-1?i.indexCount=c.count:i.indexCount=n,r===null?i.indexStart=0:i.indexStart=r.indexStart+r.indexCount),i.indexStart!==-1&&i.indexStart+i.indexCount>this._maxIndexCount||i.vertexStart+i.vertexCount>this._maxVertexCount)throw new Error("BatchedMesh: Reserved space request exceeds the maximum buffer size.");let f=this._visibility,p=this._active,m=this._matricesTexture,g=this._matricesTexture.image.data;f.push(!0),p.push(!0);let y=this._geometryCount;this._geometryCount++,uv.toArray(g,y*16),m.needsUpdate=!0,a.push(i),o.push({start:h?i.indexStart:i.vertexStart,count:-1}),l.push({boxInitialized:!1,box:new Et,sphereInitialized:!1,sphere:new vt});let u=this.geometry.getAttribute(hs);for(let d=0;d<i.vertexCount;d++)u.setX(i.vertexStart+d,y);return u.needsUpdate=!0,this.setGeometryAt(y,e),y}setGeometryAt(e,t){if(e>=this._geometryCount)throw new Error("BatchedMesh: Maximum geometry count reached.");this._validateGeometry(t);let n=this.geometry,i=n.getIndex()!==null,r=n.getIndex(),a=t.getIndex(),o=this._reservedRanges[e];if(i&&a.count>o.indexCount||t.attributes.position.count>o.vertexCount)throw new Error("BatchedMesh: Reserved space not large enough for provided geometry.");let l=o.vertexStart,c=o.vertexCount;for(let m in n.attributes){if(m===hs)continue;let g=t.getAttribute(m),y=n.getAttribute(m);dv(g,y,l);let u=g.itemSize;for(let d=g.count,_=c;d<_;d++){let x=l+d;for(let v=0;v<u;v++)y.setComponent(x,v,0)}y.needsUpdate=!0}if(i){let m=o.indexStart;for(let g=0;g<a.count;g++)r.setX(m+g,l+a.getX(g));for(let g=a.count,y=o.indexCount;g<y;g++)r.setX(m+g,l);r.needsUpdate=!0}let h=this._bounds[e];t.boundingBox!==null?(h.box.copy(t.boundingBox),h.boxInitialized=!0):h.boxInitialized=!1,t.boundingSphere!==null?(h.sphere.copy(t.boundingSphere),h.sphereInitialized=!0):h.sphereInitialized=!1;let f=this._drawRanges[e],p=t.getAttribute("position");return f.count=i?a.count:p.count,this._visibilityChanged=!0,e}deleteGeometry(e){let t=this._active;return e>=t.length||t[e]===!1?this:(t[e]=!1,this._visibilityChanged=!0,this)}getBoundingBoxAt(e,t){if(this._active[e]===!1)return this;let i=this._bounds[e],r=i.box,a=this.geometry;if(i.boxInitialized===!1){r.makeEmpty();let o=a.index,l=a.attributes.position,c=this._drawRanges[e];for(let h=c.start,f=c.start+c.count;h<f;h++){let p=h;o&&(p=o.getX(p)),r.expandByPoint(Xs.fromBufferAttribute(l,p))}i.boxInitialized=!0}return t.copy(r),t}getBoundingSphereAt(e,t){if(this._active[e]===!1)return this;let i=this._bounds[e],r=i.sphere,a=this.geometry;if(i.sphereInitialized===!1){r.makeEmpty(),this.getBoundingBoxAt(e,Ea),Ea.getCenter(r.center);let o=a.index,l=a.attributes.position,c=this._drawRanges[e],h=0;for(let f=c.start,p=c.start+c.count;f<p;f++){let m=f;o&&(m=o.getX(m)),Xs.fromBufferAttribute(l,m),h=Math.max(h,r.center.distanceToSquared(Xs))}r.radius=Math.sqrt(h),i.sphereInitialized=!0}return t.copy(r),t}setMatrixAt(e,t){let n=this._active,i=this._matricesTexture,r=this._matricesTexture.image.data,a=this._geometryCount;return e>=a||n[e]===!1?this:(t.toArray(r,e*16),i.needsUpdate=!0,this)}getMatrixAt(e,t){let n=this._active,i=this._matricesTexture.image.data,r=this._geometryCount;return e>=r||n[e]===!1?null:t.fromArray(i,e*16)}setVisibleAt(e,t){let n=this._visibility,i=this._active,r=this._geometryCount;return e>=r||i[e]===!1||n[e]===t?this:(n[e]=t,this._visibilityChanged=!0,this)}getVisibleAt(e){let t=this._visibility,n=this._active,i=this._geometryCount;return e>=i||n[e]===!1?!1:t[e]}raycast(e,t){let n=this._visibility,i=this._active,r=this._drawRanges,a=this._geometryCount,o=this.matrixWorld,l=this.geometry;Ut.material=this.material,Ut.geometry.index=l.index,Ut.geometry.attributes=l.attributes,Ut.geometry.boundingBox===null&&(Ut.geometry.boundingBox=new Et),Ut.geometry.boundingSphere===null&&(Ut.geometry.boundingSphere=new vt);for(let c=0;c<a;c++){if(!n[c]||!i[c])continue;let h=r[c];Ut.geometry.setDrawRange(h.start,h.count),this.getMatrixAt(c,Ut.matrixWorld).premultiply(o),this.getBoundingBoxAt(c,Ut.geometry.boundingBox),this.getBoundingSphereAt(c,Ut.geometry.boundingSphere),Ut.raycast(e,wa);for(let f=0,p=wa.length;f<p;f++){let m=wa[f];m.object=this,m.batchId=c,t.push(m)}wa.length=0}Ut.material=null,Ut.geometry.index=null,Ut.geometry.attributes={},Ut.geometry.setDrawRange(0,1/0)}copy(e){return super.copy(e),this.geometry=e.geometry.clone(),this.perObjectFrustumCulled=e.perObjectFrustumCulled,this.sortObjects=e.sortObjects,this.boundingBox=e.boundingBox!==null?e.boundingBox.clone():null,this.boundingSphere=e.boundingSphere!==null?e.boundingSphere.clone():null,this._drawRanges=e._drawRanges.map(t=>({...t})),this._reservedRanges=e._reservedRanges.map(t=>({...t})),this._visibility=e._visibility.slice(),this._active=e._active.slice(),this._bounds=e._bounds.map(t=>({boxInitialized:t.boxInitialized,box:t.box.clone(),sphereInitialized:t.sphereInitialized,sphere:t.sphere.clone()})),this._maxGeometryCount=e._maxGeometryCount,this._maxVertexCount=e._maxVertexCount,this._maxIndexCount=e._maxIndexCount,this._geometryInitialized=e._geometryInitialized,this._geometryCount=e._geometryCount,this._multiDrawCounts=e._multiDrawCounts.slice(),this._multiDrawStarts=e._multiDrawStarts.slice(),this._matricesTexture=e._matricesTexture.clone(),this._matricesTexture.image.data=this._matricesTexture.image.slice(),this}dispose(){return this.geometry.dispose(),this._matricesTexture.dispose(),this._matricesTexture=null,this}onBeforeRender(e,t,n,i,r){if(!this._visibilityChanged&&!this.perObjectFrustumCulled&&!this.sortObjects)return;let a=i.getIndex(),o=a===null?1:a.array.BYTES_PER_ELEMENT,l=this._visibility,c=this._multiDrawStarts,h=this._multiDrawCounts,f=this._drawRanges,p=this.perObjectFrustumCulled;p&&(Gd.multiplyMatrices(n.projectionMatrix,n.matrixWorldInverse).multiply(this.matrixWorld),Yl.setFromProjectionMatrix(Gd,e.isWebGPURenderer?_s:hn));let m=0;if(this.sortObjects){Hd.copy(this.matrixWorld).invert(),Xs.setFromMatrixPosition(n.matrixWorld).applyMatrix4(Hd);for(let u=0,d=l.length;u<d;u++)if(l[u]){this.getMatrixAt(u,Jn),this.getBoundingSphereAt(u,yi).applyMatrix4(Jn);let _=!1;if(p&&(_=!Yl.intersectsSphere(yi)),!_){let x=Xs.distanceTo(yi.center);ql.push(f[u],x)}}let g=ql.list,y=this.customSort;y===null?g.sort(r.transparent?hv:cv):y.call(this,g,n);for(let u=0,d=g.length;u<d;u++){let _=g[u];c[m]=_.start*o,h[m]=_.count,m++}ql.reset()}else for(let g=0,y=l.length;g<y;g++)if(l[g]){let u=!1;if(p&&(this.getMatrixAt(g,Jn),this.getBoundingSphereAt(g,yi).applyMatrix4(Jn),u=!Yl.intersectsSphere(yi)),!u){let d=f[g];c[m]=d.start*o,h[m]=d.count,m++}}this._multiDrawCount=m,this._visibilityChanged=!1}onBeforeShadow(e,t,n,i,r,a){this.onBeforeRender(e,null,i,r,a)}},Lt=class extends Pt{constructor(e){super(),this.isLineBasicMaterial=!0,this.type="LineBasicMaterial",this.color=new Se(16777215),this.map=null,this.linewidth=1,this.linecap="round",this.linejoin="round",this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.linewidth=e.linewidth,this.linecap=e.linecap,this.linejoin=e.linejoin,this.fog=e.fog,this}},Wd=new U,Xd=new U,Yd=new Be,Zl=new _n,Ta=new vt,vn=class extends tt{constructor(e=new Ye,t=new Lt){super(),this.isLine=!0,this.type="Line",this.geometry=e,this.material=t,this.updateMorphTargets()}copy(e,t){return super.copy(e,t),this.material=Array.isArray(e.material)?e.material.slice():e.material,this.geometry=e.geometry,this}computeLineDistances(){let e=this.geometry;if(e.index===null){let t=e.attributes.position,n=[0];for(let i=1,r=t.count;i<r;i++)Wd.fromBufferAttribute(t,i-1),Xd.fromBufferAttribute(t,i),n[i]=n[i-1],n[i]+=Wd.distanceTo(Xd);e.setAttribute("lineDistance",new Pe(n,1))}else console.warn("THREE.Line.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.");return this}raycast(e,t){let n=this.geometry,i=this.matrixWorld,r=e.params.Line.threshold,a=n.drawRange;if(n.boundingSphere===null&&n.computeBoundingSphere(),Ta.copy(n.boundingSphere),Ta.applyMatrix4(i),Ta.radius+=r,e.ray.intersectsSphere(Ta)===!1)return;Yd.copy(i).invert(),Zl.copy(e.ray).applyMatrix4(Yd);let o=r/((this.scale.x+this.scale.y+this.scale.z)/3),l=o*o,c=new U,h=new U,f=new U,p=new U,m=this.isLineSegments?2:1,g=n.index,u=n.attributes.position;if(g!==null){let d=Math.max(0,a.start),_=Math.min(g.count,a.start+a.count);for(let x=d,v=_-1;x<v;x+=m){let A=g.getX(x),w=g.getX(x+1);if(c.fromBufferAttribute(u,A),h.fromBufferAttribute(u,w),Zl.distanceSqToSegment(c,h,p,f)>l)continue;p.applyMatrix4(this.matrixWorld);let T=e.ray.origin.distanceTo(p);T<e.near||T>e.far||t.push({distance:T,point:f.clone().applyMatrix4(this.matrixWorld),index:x,face:null,faceIndex:null,object:this})}}else{let d=Math.max(0,a.start),_=Math.min(u.count,a.start+a.count);for(let x=d,v=_-1;x<v;x+=m){if(c.fromBufferAttribute(u,x),h.fromBufferAttribute(u,x+1),Zl.distanceSqToSegment(c,h,p,f)>l)continue;p.applyMatrix4(this.matrixWorld);let w=e.ray.origin.distanceTo(p);w<e.near||w>e.far||t.push({distance:w,point:f.clone().applyMatrix4(this.matrixWorld),index:x,face:null,faceIndex:null,object:this})}}}updateMorphTargets(){let t=this.geometry.morphAttributes,n=Object.keys(t);if(n.length>0){let i=t[n[0]];if(i!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let r=0,a=i.length;r<a;r++){let o=i[r].name||String(r);this.morphTargetInfluences.push(0),this.morphTargetDictionary[o]=r}}}}},qd=new U,Zd=new U,sn=class extends vn{constructor(e,t){super(e,t),this.isLineSegments=!0,this.type="LineSegments"}computeLineDistances(){let e=this.geometry;if(e.index===null){let t=e.attributes.position,n=[];for(let i=0,r=t.count;i<r;i+=2)qd.fromBufferAttribute(t,i),Zd.fromBufferAttribute(t,i+1),n[i]=i===0?0:n[i-1],n[i+1]=n[i]+qd.distanceTo(Zd);e.setAttribute("lineDistance",new Pe(n,1))}else console.warn("THREE.LineSegments.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.");return this}},fo=class extends vn{constructor(e,t){super(e,t),this.isLineLoop=!0,this.type="LineLoop"}},wr=class extends Pt{constructor(e){super(),this.isPointsMaterial=!0,this.type="PointsMaterial",this.color=new Se(16777215),this.map=null,this.alphaMap=null,this.size=1,this.sizeAttenuation=!0,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.alphaMap=e.alphaMap,this.size=e.size,this.sizeAttenuation=e.sizeAttenuation,this.fog=e.fog,this}},Jd=new Be,nh=new _n,Aa=new vt,Ca=new U,po=class extends tt{constructor(e=new Ye,t=new wr){super(),this.isPoints=!0,this.type="Points",this.geometry=e,this.material=t,this.updateMorphTargets()}copy(e,t){return super.copy(e,t),this.material=Array.isArray(e.material)?e.material.slice():e.material,this.geometry=e.geometry,this}raycast(e,t){let n=this.geometry,i=this.matrixWorld,r=e.params.Points.threshold,a=n.drawRange;if(n.boundingSphere===null&&n.computeBoundingSphere(),Aa.copy(n.boundingSphere),Aa.applyMatrix4(i),Aa.radius+=r,e.ray.intersectsSphere(Aa)===!1)return;Jd.copy(i).invert(),nh.copy(e.ray).applyMatrix4(Jd);let o=r/((this.scale.x+this.scale.y+this.scale.z)/3),l=o*o,c=n.index,f=n.attributes.position;if(c!==null){let p=Math.max(0,a.start),m=Math.min(c.count,a.start+a.count);for(let g=p,y=m;g<y;g++){let u=c.getX(g);Ca.fromBufferAttribute(f,u),Kd(Ca,u,l,i,e,t,this)}}else{let p=Math.max(0,a.start),m=Math.min(f.count,a.start+a.count);for(let g=p,y=m;g<y;g++)Ca.fromBufferAttribute(f,g),Kd(Ca,g,l,i,e,t,this)}}updateMorphTargets(){let t=this.geometry.morphAttributes,n=Object.keys(t);if(n.length>0){let i=t[n[0]];if(i!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let r=0,a=i.length;r<a;r++){let o=i[r].name||String(r);this.morphTargetInfluences.push(0),this.morphTargetDictionary[o]=r}}}}};function Kd(s,e,t,n,i,r,a){let o=nh.distanceSqToPoint(s);if(o<t){let l=new U;nh.closestPointToPoint(s,l),l.applyMatrix4(n);let c=i.ray.origin.distanceTo(l);if(c<i.near||c>i.far)return;r.push({distance:c,distanceToRay:Math.sqrt(o),point:l,index:e,face:null,object:a})}}var ih=class extends wt{constructor(e,t,n,i,r,a,o,l,c){super(e,t,n,i,r,a,o,l,c),this.isVideoTexture=!0,this.minFilter=a!==void 0?a:yt,this.magFilter=r!==void 0?r:yt,this.generateMipmaps=!1;let h=this;function f(){h.needsUpdate=!0,e.requestVideoFrameCallback(f)}"requestVideoFrameCallback"in e&&e.requestVideoFrameCallback(f)}clone(){return new this.constructor(this.image).copy(this)}update(){let e=this.image;"requestVideoFrameCallback"in e===!1&&e.readyState>=e.HAVE_CURRENT_DATA&&(this.needsUpdate=!0)}},sh=class extends wt{constructor(e,t){super({width:e,height:t}),this.isFramebufferTexture=!0,this.magFilter=mt,this.minFilter=mt,this.generateMipmaps=!1,this.needsUpdate=!0}},Cs=class extends wt{constructor(e,t,n,i,r,a,o,l,c,h,f,p){super(null,a,o,l,c,h,i,r,f,p),this.isCompressedTexture=!0,this.image={width:t,height:n},this.mipmaps=e,this.flipY=!1,this.generateMipmaps=!1}},rh=class extends Cs{constructor(e,t,n,i,r,a){super(e,t,n,r,a),this.isCompressedArrayTexture=!0,this.image.depth=i,this.wrapR=Ot}},ah=class extends Cs{constructor(e,t,n){super(void 0,e[0].width,e[0].height,t,n,Vn),this.isCompressedCubeTexture=!0,this.isCubeTexture=!0,this.image=e}},oh=class extends wt{constructor(e,t,n,i,r,a,o,l,c){super(e,t,n,i,r,a,o,l,c),this.isCanvasTexture=!0,this.needsUpdate=!0}},$t=class{constructor(){this.type="Curve",this.arcLengthDivisions=200}getPoint(){return console.warn("THREE.Curve: .getPoint() not implemented."),null}getPointAt(e,t){let n=this.getUtoTmapping(e);return this.getPoint(n,t)}getPoints(e=5){let t=[];for(let n=0;n<=e;n++)t.push(this.getPoint(n/e));return t}getSpacedPoints(e=5){let t=[];for(let n=0;n<=e;n++)t.push(this.getPointAt(n/e));return t}getLength(){let e=this.getLengths();return e[e.length-1]}getLengths(e=this.arcLengthDivisions){if(this.cacheArcLengths&&this.cacheArcLengths.length===e+1&&!this.needsUpdate)return this.cacheArcLengths;this.needsUpdate=!1;let t=[],n,i=this.getPoint(0),r=0;t.push(0);for(let a=1;a<=e;a++)n=this.getPoint(a/e),r+=n.distanceTo(i),t.push(r),i=n;return this.cacheArcLengths=t,t}updateArcLengths(){this.needsUpdate=!0,this.getLengths()}getUtoTmapping(e,t){let n=this.getLengths(),i=0,r=n.length,a;t?a=t:a=e*n[r-1];let o=0,l=r-1,c;for(;o<=l;)if(i=Math.floor(o+(l-o)/2),c=n[i]-a,c<0)o=i+1;else if(c>0)l=i-1;else{l=i;break}if(i=l,n[i]===a)return i/(r-1);let h=n[i],p=n[i+1]-h,m=(a-h)/p;return(i+m)/(r-1)}getTangent(e,t){let i=e-1e-4,r=e+1e-4;i<0&&(i=0),r>1&&(r=1);let a=this.getPoint(i),o=this.getPoint(r),l=t||(a.isVector2?new ne:new U);return l.copy(o).sub(a).normalize(),l}getTangentAt(e,t){let n=this.getUtoTmapping(e);return this.getTangent(n,t)}computeFrenetFrames(e,t){let n=new U,i=[],r=[],a=[],o=new U,l=new Be;for(let m=0;m<=e;m++){let g=m/e;i[m]=this.getTangentAt(g,new U)}r[0]=new U,a[0]=new U;let c=Number.MAX_VALUE,h=Math.abs(i[0].x),f=Math.abs(i[0].y),p=Math.abs(i[0].z);h<=c&&(c=h,n.set(1,0,0)),f<=c&&(c=f,n.set(0,1,0)),p<=c&&n.set(0,0,1),o.crossVectors(i[0],n).normalize(),r[0].crossVectors(i[0],o),a[0].crossVectors(i[0],r[0]);for(let m=1;m<=e;m++){if(r[m]=r[m-1].clone(),a[m]=a[m-1].clone(),o.crossVectors(i[m-1],i[m]),o.length()>Number.EPSILON){o.normalize();let g=Math.acos(ut(i[m-1].dot(i[m]),-1,1));r[m].applyMatrix4(l.makeRotationAxis(o,g))}a[m].crossVectors(i[m],r[m])}if(t===!0){let m=Math.acos(ut(r[0].dot(r[e]),-1,1));m/=e,i[0].dot(o.crossVectors(r[0],r[e]))>0&&(m=-m);for(let g=1;g<=e;g++)r[g].applyMatrix4(l.makeRotationAxis(i[g],m*g)),a[g].crossVectors(i[g],r[g])}return{tangents:i,normals:r,binormals:a}}clone(){return new this.constructor().copy(this)}copy(e){return this.arcLengthDivisions=e.arcLengthDivisions,this}toJSON(){let e={metadata:{version:4.6,type:"Curve",generator:"Curve.toJSON"}};return e.arcLengthDivisions=this.arcLengthDivisions,e.type=this.type,e}fromJSON(e){return this.arcLengthDivisions=e.arcLengthDivisions,this}},Rs=class extends $t{constructor(e=0,t=0,n=1,i=1,r=0,a=Math.PI*2,o=!1,l=0){super(),this.isEllipseCurve=!0,this.type="EllipseCurve",this.aX=e,this.aY=t,this.xRadius=n,this.yRadius=i,this.aStartAngle=r,this.aEndAngle=a,this.aClockwise=o,this.aRotation=l}getPoint(e,t){let n=t||new ne,i=Math.PI*2,r=this.aEndAngle-this.aStartAngle,a=Math.abs(r)<Number.EPSILON;for(;r<0;)r+=i;for(;r>i;)r-=i;r<Number.EPSILON&&(a?r=0:r=i),this.aClockwise===!0&&!a&&(r===i?r=-i:r=r-i);let o=this.aStartAngle+e*r,l=this.aX+this.xRadius*Math.cos(o),c=this.aY+this.yRadius*Math.sin(o);if(this.aRotation!==0){let h=Math.cos(this.aRotation),f=Math.sin(this.aRotation),p=l-this.aX,m=c-this.aY;l=p*h-m*f+this.aX,c=p*f+m*h+this.aY}return n.set(l,c)}copy(e){return super.copy(e),this.aX=e.aX,this.aY=e.aY,this.xRadius=e.xRadius,this.yRadius=e.yRadius,this.aStartAngle=e.aStartAngle,this.aEndAngle=e.aEndAngle,this.aClockwise=e.aClockwise,this.aRotation=e.aRotation,this}toJSON(){let e=super.toJSON();return e.aX=this.aX,e.aY=this.aY,e.xRadius=this.xRadius,e.yRadius=this.yRadius,e.aStartAngle=this.aStartAngle,e.aEndAngle=this.aEndAngle,e.aClockwise=this.aClockwise,e.aRotation=this.aRotation,e}fromJSON(e){return super.fromJSON(e),this.aX=e.aX,this.aY=e.aY,this.xRadius=e.xRadius,this.yRadius=e.yRadius,this.aStartAngle=e.aStartAngle,this.aEndAngle=e.aEndAngle,this.aClockwise=e.aClockwise,this.aRotation=e.aRotation,this}},mo=class extends Rs{constructor(e,t,n,i,r,a){super(e,t,n,n,i,r,a),this.isArcCurve=!0,this.type="ArcCurve"}};function fu(){let s=0,e=0,t=0,n=0;function i(r,a,o,l){s=r,e=o,t=-3*r+3*a-2*o-l,n=2*r-2*a+o+l}return{initCatmullRom:function(r,a,o,l,c){i(a,o,c*(o-r),c*(l-a))},initNonuniformCatmullRom:function(r,a,o,l,c,h,f){let p=(a-r)/c-(o-r)/(c+h)+(o-a)/h,m=(o-a)/h-(l-a)/(h+f)+(l-o)/f;p*=h,m*=h,i(a,o,p,m)},calc:function(r){let a=r*r,o=a*r;return s+e*r+t*a+n*o}}}var Ra=new U,Jl=new fu,Kl=new fu,$l=new fu,go=class extends $t{constructor(e=[],t=!1,n="centripetal",i=.5){super(),this.isCatmullRomCurve3=!0,this.type="CatmullRomCurve3",this.points=e,this.closed=t,this.curveType=n,this.tension=i}getPoint(e,t=new U){let n=t,i=this.points,r=i.length,a=(r-(this.closed?0:1))*e,o=Math.floor(a),l=a-o;this.closed?o+=o>0?0:(Math.floor(Math.abs(o)/r)+1)*r:l===0&&o===r-1&&(o=r-2,l=1);let c,h;this.closed||o>0?c=i[(o-1)%r]:(Ra.subVectors(i[0],i[1]).add(i[0]),c=Ra);let f=i[o%r],p=i[(o+1)%r];if(this.closed||o+2<r?h=i[(o+2)%r]:(Ra.subVectors(i[r-1],i[r-2]).add(i[r-1]),h=Ra),this.curveType==="centripetal"||this.curveType==="chordal"){let m=this.curveType==="chordal"?.5:.25,g=Math.pow(c.distanceToSquared(f),m),y=Math.pow(f.distanceToSquared(p),m),u=Math.pow(p.distanceToSquared(h),m);y<1e-4&&(y=1),g<1e-4&&(g=y),u<1e-4&&(u=y),Jl.initNonuniformCatmullRom(c.x,f.x,p.x,h.x,g,y,u),Kl.initNonuniformCatmullRom(c.y,f.y,p.y,h.y,g,y,u),$l.initNonuniformCatmullRom(c.z,f.z,p.z,h.z,g,y,u)}else this.curveType==="catmullrom"&&(Jl.initCatmullRom(c.x,f.x,p.x,h.x,this.tension),Kl.initCatmullRom(c.y,f.y,p.y,h.y,this.tension),$l.initCatmullRom(c.z,f.z,p.z,h.z,this.tension));return n.set(Jl.calc(l),Kl.calc(l),$l.calc(l)),n}copy(e){super.copy(e),this.points=[];for(let t=0,n=e.points.length;t<n;t++){let i=e.points[t];this.points.push(i.clone())}return this.closed=e.closed,this.curveType=e.curveType,this.tension=e.tension,this}toJSON(){let e=super.toJSON();e.points=[];for(let t=0,n=this.points.length;t<n;t++){let i=this.points[t];e.points.push(i.toArray())}return e.closed=this.closed,e.curveType=this.curveType,e.tension=this.tension,e}fromJSON(e){super.fromJSON(e),this.points=[];for(let t=0,n=e.points.length;t<n;t++){let i=e.points[t];this.points.push(new U().fromArray(i))}return this.closed=e.closed,this.curveType=e.curveType,this.tension=e.tension,this}};function $d(s,e,t,n,i){let r=(n-e)*.5,a=(i-t)*.5,o=s*s,l=s*o;return(2*t-2*n+r+a)*l+(-3*t+3*n-2*r-a)*o+r*s+t}function fv(s,e){let t=1-s;return t*t*e}function pv(s,e){return 2*(1-s)*s*e}function mv(s,e){return s*s*e}function js(s,e,t,n){return fv(s,e)+pv(s,t)+mv(s,n)}function gv(s,e){let t=1-s;return t*t*t*e}function yv(s,e){let t=1-s;return 3*t*t*s*e}function _v(s,e){return 3*(1-s)*s*s*e}function xv(s,e){return s*s*s*e}function Qs(s,e,t,n,i){return gv(s,e)+yv(s,t)+_v(s,n)+xv(s,i)}var Tr=class extends $t{constructor(e=new ne,t=new ne,n=new ne,i=new ne){super(),this.isCubicBezierCurve=!0,this.type="CubicBezierCurve",this.v0=e,this.v1=t,this.v2=n,this.v3=i}getPoint(e,t=new ne){let n=t,i=this.v0,r=this.v1,a=this.v2,o=this.v3;return n.set(Qs(e,i.x,r.x,a.x,o.x),Qs(e,i.y,r.y,a.y,o.y)),n}copy(e){return super.copy(e),this.v0.copy(e.v0),this.v1.copy(e.v1),this.v2.copy(e.v2),this.v3.copy(e.v3),this}toJSON(){let e=super.toJSON();return e.v0=this.v0.toArray(),e.v1=this.v1.toArray(),e.v2=this.v2.toArray(),e.v3=this.v3.toArray(),e}fromJSON(e){return super.fromJSON(e),this.v0.fromArray(e.v0),this.v1.fromArray(e.v1),this.v2.fromArray(e.v2),this.v3.fromArray(e.v3),this}},yo=class extends $t{constructor(e=new U,t=new U,n=new U,i=new U){super(),this.isCubicBezierCurve3=!0,this.type="CubicBezierCurve3",this.v0=e,this.v1=t,this.v2=n,this.v3=i}getPoint(e,t=new U){let n=t,i=this.v0,r=this.v1,a=this.v2,o=this.v3;return n.set(Qs(e,i.x,r.x,a.x,o.x),Qs(e,i.y,r.y,a.y,o.y),Qs(e,i.z,r.z,a.z,o.z)),n}copy(e){return super.copy(e),this.v0.copy(e.v0),this.v1.copy(e.v1),this.v2.copy(e.v2),this.v3.copy(e.v3),this}toJSON(){let e=super.toJSON();return e.v0=this.v0.toArray(),e.v1=this.v1.toArray(),e.v2=this.v2.toArray(),e.v3=this.v3.toArray(),e}fromJSON(e){return super.fromJSON(e),this.v0.fromArray(e.v0),this.v1.fromArray(e.v1),this.v2.fromArray(e.v2),this.v3.fromArray(e.v3),this}},Ar=class extends $t{constructor(e=new ne,t=new ne){super(),this.isLineCurve=!0,this.type="LineCurve",this.v1=e,this.v2=t}getPoint(e,t=new ne){let n=t;return e===1?n.copy(this.v2):(n.copy(this.v2).sub(this.v1),n.multiplyScalar(e).add(this.v1)),n}getPointAt(e,t){return this.getPoint(e,t)}getTangent(e,t=new ne){return t.subVectors(this.v2,this.v1).normalize()}getTangentAt(e,t){return this.getTangent(e,t)}copy(e){return super.copy(e),this.v1.copy(e.v1),this.v2.copy(e.v2),this}toJSON(){let e=super.toJSON();return e.v1=this.v1.toArray(),e.v2=this.v2.toArray(),e}fromJSON(e){return super.fromJSON(e),this.v1.fromArray(e.v1),this.v2.fromArray(e.v2),this}},_o=class extends $t{constructor(e=new U,t=new U){super(),this.isLineCurve3=!0,this.type="LineCurve3",this.v1=e,this.v2=t}getPoint(e,t=new U){let n=t;return e===1?n.copy(this.v2):(n.copy(this.v2).sub(this.v1),n.multiplyScalar(e).add(this.v1)),n}getPointAt(e,t){return this.getPoint(e,t)}getTangent(e,t=new U){return t.subVectors(this.v2,this.v1).normalize()}getTangentAt(e,t){return this.getTangent(e,t)}copy(e){return super.copy(e),this.v1.copy(e.v1),this.v2.copy(e.v2),this}toJSON(){let e=super.toJSON();return e.v1=this.v1.toArray(),e.v2=this.v2.toArray(),e}fromJSON(e){return super.fromJSON(e),this.v1.fromArray(e.v1),this.v2.fromArray(e.v2),this}},Cr=class extends $t{constructor(e=new ne,t=new ne,n=new ne){super(),this.isQuadraticBezierCurve=!0,this.type="QuadraticBezierCurve",this.v0=e,this.v1=t,this.v2=n}getPoint(e,t=new ne){let n=t,i=this.v0,r=this.v1,a=this.v2;return n.set(js(e,i.x,r.x,a.x),js(e,i.y,r.y,a.y)),n}copy(e){return super.copy(e),this.v0.copy(e.v0),this.v1.copy(e.v1),this.v2.copy(e.v2),this}toJSON(){let e=super.toJSON();return e.v0=this.v0.toArray(),e.v1=this.v1.toArray(),e.v2=this.v2.toArray(),e}fromJSON(e){return super.fromJSON(e),this.v0.fromArray(e.v0),this.v1.fromArray(e.v1),this.v2.fromArray(e.v2),this}},Rr=class extends $t{constructor(e=new U,t=new U,n=new U){super(),this.isQuadraticBezierCurve3=!0,this.type="QuadraticBezierCurve3",this.v0=e,this.v1=t,this.v2=n}getPoint(e,t=new U){let n=t,i=this.v0,r=this.v1,a=this.v2;return n.set(js(e,i.x,r.x,a.x),js(e,i.y,r.y,a.y),js(e,i.z,r.z,a.z)),n}copy(e){return super.copy(e),this.v0.copy(e.v0),this.v1.copy(e.v1),this.v2.copy(e.v2),this}toJSON(){let e=super.toJSON();return e.v0=this.v0.toArray(),e.v1=this.v1.toArray(),e.v2=this.v2.toArray(),e}fromJSON(e){return super.fromJSON(e),this.v0.fromArray(e.v0),this.v1.fromArray(e.v1),this.v2.fromArray(e.v2),this}},Pr=class extends $t{constructor(e=[]){super(),this.isSplineCurve=!0,this.type="SplineCurve",this.points=e}getPoint(e,t=new ne){let n=t,i=this.points,r=(i.length-1)*e,a=Math.floor(r),o=r-a,l=i[a===0?a:a-1],c=i[a],h=i[a>i.length-2?i.length-1:a+1],f=i[a>i.length-3?i.length-1:a+2];return n.set($d(o,l.x,c.x,h.x,f.x),$d(o,l.y,c.y,h.y,f.y)),n}copy(e){super.copy(e),this.points=[];for(let t=0,n=e.points.length;t<n;t++){let i=e.points[t];this.points.push(i.clone())}return this}toJSON(){let e=super.toJSON();e.points=[];for(let t=0,n=this.points.length;t<n;t++){let i=this.points[t];e.points.push(i.toArray())}return e}fromJSON(e){super.fromJSON(e),this.points=[];for(let t=0,n=e.points.length;t<n;t++){let i=e.points[t];this.points.push(new ne().fromArray(i))}return this}},xo=Object.freeze({__proto__:null,ArcCurve:mo,CatmullRomCurve3:go,CubicBezierCurve:Tr,CubicBezierCurve3:yo,EllipseCurve:Rs,LineCurve:Ar,LineCurve3:_o,QuadraticBezierCurve:Cr,QuadraticBezierCurve3:Rr,SplineCurve:Pr}),vo=class extends $t{constructor(){super(),this.type="CurvePath",this.curves=[],this.autoClose=!1}add(e){this.curves.push(e)}closePath(){let e=this.curves[0].getPoint(0),t=this.curves[this.curves.length-1].getPoint(1);if(!e.equals(t)){let n=e.isVector2===!0?"LineCurve":"LineCurve3";this.curves.push(new xo[n](t,e))}return this}getPoint(e,t){let n=e*this.getLength(),i=this.getCurveLengths(),r=0;for(;r<i.length;){if(i[r]>=n){let a=i[r]-n,o=this.curves[r],l=o.getLength(),c=l===0?0:1-a/l;return o.getPointAt(c,t)}r++}return null}getLength(){let e=this.getCurveLengths();return e[e.length-1]}updateArcLengths(){this.needsUpdate=!0,this.cacheLengths=null,this.getCurveLengths()}getCurveLengths(){if(this.cacheLengths&&this.cacheLengths.length===this.curves.length)return this.cacheLengths;let e=[],t=0;for(let n=0,i=this.curves.length;n<i;n++)t+=this.curves[n].getLength(),e.push(t);return this.cacheLengths=e,e}getSpacedPoints(e=40){let t=[];for(let n=0;n<=e;n++)t.push(this.getPoint(n/e));return this.autoClose&&t.push(t[0]),t}getPoints(e=12){let t=[],n;for(let i=0,r=this.curves;i<r.length;i++){let a=r[i],o=a.isEllipseCurve?e*2:a.isLineCurve||a.isLineCurve3?1:a.isSplineCurve?e*a.points.length:e,l=a.getPoints(o);for(let c=0;c<l.length;c++){let h=l[c];n&&n.equals(h)||(t.push(h),n=h)}}return this.autoClose&&t.length>1&&!t[t.length-1].equals(t[0])&&t.push(t[0]),t}copy(e){super.copy(e),this.curves=[];for(let t=0,n=e.curves.length;t<n;t++){let i=e.curves[t];this.curves.push(i.clone())}return this.autoClose=e.autoClose,this}toJSON(){let e=super.toJSON();e.autoClose=this.autoClose,e.curves=[];for(let t=0,n=this.curves.length;t<n;t++){let i=this.curves[t];e.curves.push(i.toJSON())}return e}fromJSON(e){super.fromJSON(e),this.autoClose=e.autoClose,this.curves=[];for(let t=0,n=e.curves.length;t<n;t++){let i=e.curves[t];this.curves.push(new xo[i.type]().fromJSON(i))}return this}},Oi=class extends vo{constructor(e){super(),this.type="Path",this.currentPoint=new ne,e&&this.setFromPoints(e)}setFromPoints(e){this.moveTo(e[0].x,e[0].y);for(let t=1,n=e.length;t<n;t++)this.lineTo(e[t].x,e[t].y);return this}moveTo(e,t){return this.currentPoint.set(e,t),this}lineTo(e,t){let n=new Ar(this.currentPoint.clone(),new ne(e,t));return this.curves.push(n),this.currentPoint.set(e,t),this}quadraticCurveTo(e,t,n,i){let r=new Cr(this.currentPoint.clone(),new ne(e,t),new ne(n,i));return this.curves.push(r),this.currentPoint.set(n,i),this}bezierCurveTo(e,t,n,i,r,a){let o=new Tr(this.currentPoint.clone(),new ne(e,t),new ne(n,i),new ne(r,a));return this.curves.push(o),this.currentPoint.set(r,a),this}splineThru(e){let t=[this.currentPoint.clone()].concat(e),n=new Pr(t);return this.curves.push(n),this.currentPoint.copy(e[e.length-1]),this}arc(e,t,n,i,r,a){let o=this.currentPoint.x,l=this.currentPoint.y;return this.absarc(e+o,t+l,n,i,r,a),this}absarc(e,t,n,i,r,a){return this.absellipse(e,t,n,n,i,r,a),this}ellipse(e,t,n,i,r,a,o,l){let c=this.currentPoint.x,h=this.currentPoint.y;return this.absellipse(e+c,t+h,n,i,r,a,o,l),this}absellipse(e,t,n,i,r,a,o,l){let c=new Rs(e,t,n,i,r,a,o,l);if(this.curves.length>0){let f=c.getPoint(0);f.equals(this.currentPoint)||this.lineTo(f.x,f.y)}this.curves.push(c);let h=c.getPoint(1);return this.currentPoint.copy(h),this}copy(e){return super.copy(e),this.currentPoint.copy(e.currentPoint),this}toJSON(){let e=super.toJSON();return e.currentPoint=this.currentPoint.toArray(),e}fromJSON(e){return super.fromJSON(e),this.currentPoint.fromArray(e.currentPoint),this}},Lr=class s extends Ye{constructor(e=[new ne(0,-.5),new ne(.5,0),new ne(0,.5)],t=12,n=0,i=Math.PI*2){super(),this.type="LatheGeometry",this.parameters={points:e,segments:t,phiStart:n,phiLength:i},t=Math.floor(t),i=ut(i,0,Math.PI*2);let r=[],a=[],o=[],l=[],c=[],h=1/t,f=new U,p=new ne,m=new U,g=new U,y=new U,u=0,d=0;for(let _=0;_<=e.length-1;_++)switch(_){case 0:u=e[_+1].x-e[_].x,d=e[_+1].y-e[_].y,m.x=d*1,m.y=-u,m.z=d*0,y.copy(m),m.normalize(),l.push(m.x,m.y,m.z);break;case e.length-1:l.push(y.x,y.y,y.z);break;default:u=e[_+1].x-e[_].x,d=e[_+1].y-e[_].y,m.x=d*1,m.y=-u,m.z=d*0,g.copy(m),m.x+=y.x,m.y+=y.y,m.z+=y.z,m.normalize(),l.push(m.x,m.y,m.z),y.copy(g)}for(let _=0;_<=t;_++){let x=n+_*h*i,v=Math.sin(x),A=Math.cos(x);for(let w=0;w<=e.length-1;w++){f.x=e[w].x*v,f.y=e[w].y,f.z=e[w].x*A,a.push(f.x,f.y,f.z),p.x=_/t,p.y=w/(e.length-1),o.push(p.x,p.y);let b=l[3*w+0]*v,T=l[3*w+1],M=l[3*w+0]*A;c.push(b,T,M)}}for(let _=0;_<t;_++)for(let x=0;x<e.length-1;x++){let v=x+_*e.length,A=v,w=v+e.length,b=v+e.length+1,T=v+1;r.push(A,w,T),r.push(b,T,w)}this.setIndex(r),this.setAttribute("position",new Pe(a,3)),this.setAttribute("uv",new Pe(o,2)),this.setAttribute("normal",new Pe(c,3))}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}static fromJSON(e){return new s(e.points,e.segments,e.phiStart,e.phiLength)}},Mo=class s extends Lr{constructor(e=1,t=1,n=4,i=8){let r=new Oi;r.absarc(0,-t/2,e,Math.PI*1.5,0),r.absarc(0,t/2,e,0,Math.PI*.5),super(r.getPoints(n),i),this.type="CapsuleGeometry",this.parameters={radius:e,length:t,capSegments:n,radialSegments:i}}static fromJSON(e){return new s(e.radius,e.length,e.capSegments,e.radialSegments)}},bo=class s extends Ye{constructor(e=1,t=32,n=0,i=Math.PI*2){super(),this.type="CircleGeometry",this.parameters={radius:e,segments:t,thetaStart:n,thetaLength:i},t=Math.max(3,t);let r=[],a=[],o=[],l=[],c=new U,h=new ne;a.push(0,0,0),o.push(0,0,1),l.push(.5,.5);for(let f=0,p=3;f<=t;f++,p+=3){let m=n+f/t*i;c.x=e*Math.cos(m),c.y=e*Math.sin(m),a.push(c.x,c.y,c.z),o.push(0,0,1),h.x=(a[p]/e+1)/2,h.y=(a[p+1]/e+1)/2,l.push(h.x,h.y)}for(let f=1;f<=t;f++)r.push(f,f+1,0);this.setIndex(r),this.setAttribute("position",new Pe(a,3)),this.setAttribute("normal",new Pe(o,3)),this.setAttribute("uv",new Pe(l,2))}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}static fromJSON(e){return new s(e.radius,e.segments,e.thetaStart,e.thetaLength)}},Ps=class s extends Ye{constructor(e=1,t=1,n=1,i=32,r=1,a=!1,o=0,l=Math.PI*2){super(),this.type="CylinderGeometry",this.parameters={radiusTop:e,radiusBottom:t,height:n,radialSegments:i,heightSegments:r,openEnded:a,thetaStart:o,thetaLength:l};let c=this;i=Math.floor(i),r=Math.floor(r);let h=[],f=[],p=[],m=[],g=0,y=[],u=n/2,d=0;_(),a===!1&&(e>0&&x(!0),t>0&&x(!1)),this.setIndex(h),this.setAttribute("position",new Pe(f,3)),this.setAttribute("normal",new Pe(p,3)),this.setAttribute("uv",new Pe(m,2));function _(){let v=new U,A=new U,w=0,b=(t-e)/n;for(let T=0;T<=r;T++){let M=[],S=T/r,N=S*(t-e)+e;for(let P=0;P<=i;P++){let R=P/i,C=R*l+o,I=Math.sin(C),B=Math.cos(C);A.x=N*I,A.y=-S*n+u,A.z=N*B,f.push(A.x,A.y,A.z),v.set(I,b,B).normalize(),p.push(v.x,v.y,v.z),m.push(R,1-S),M.push(g++)}y.push(M)}for(let T=0;T<i;T++)for(let M=0;M<r;M++){let S=y[M][T],N=y[M+1][T],P=y[M+1][T+1],R=y[M][T+1];h.push(S,N,R),h.push(N,P,R),w+=6}c.addGroup(d,w,0),d+=w}function x(v){let A=g,w=new ne,b=new U,T=0,M=v===!0?e:t,S=v===!0?1:-1;for(let P=1;P<=i;P++)f.push(0,u*S,0),p.push(0,S,0),m.push(.5,.5),g++;let N=g;for(let P=0;P<=i;P++){let C=P/i*l+o,I=Math.cos(C),B=Math.sin(C);b.x=M*B,b.y=u*S,b.z=M*I,f.push(b.x,b.y,b.z),p.push(0,S,0),w.x=I*.5+.5,w.y=B*.5*S+.5,m.push(w.x,w.y),g++}for(let P=0;P<i;P++){let R=A+P,C=N+P;v===!0?h.push(C,C+1,R):h.push(C+1,C,R),T+=3}c.addGroup(d,T,v===!0?1:2),d+=T}}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}static fromJSON(e){return new s(e.radiusTop,e.radiusBottom,e.height,e.radialSegments,e.heightSegments,e.openEnded,e.thetaStart,e.thetaLength)}},So=class s extends Ps{constructor(e=1,t=1,n=32,i=1,r=!1,a=0,o=Math.PI*2){super(0,e,t,n,i,r,a,o),this.type="ConeGeometry",this.parameters={radius:e,height:t,radialSegments:n,heightSegments:i,openEnded:r,thetaStart:a,thetaLength:o}}static fromJSON(e){return new s(e.radius,e.height,e.radialSegments,e.heightSegments,e.openEnded,e.thetaStart,e.thetaLength)}},ri=class s extends Ye{constructor(e=[],t=[],n=1,i=0){super(),this.type="PolyhedronGeometry",this.parameters={vertices:e,indices:t,radius:n,detail:i};let r=[],a=[];o(i),c(n),h(),this.setAttribute("position",new Pe(r,3)),this.setAttribute("normal",new Pe(r.slice(),3)),this.setAttribute("uv",new Pe(a,2)),i===0?this.computeVertexNormals():this.normalizeNormals();function o(_){let x=new U,v=new U,A=new U;for(let w=0;w<t.length;w+=3)m(t[w+0],x),m(t[w+1],v),m(t[w+2],A),l(x,v,A,_)}function l(_,x,v,A){let w=A+1,b=[];for(let T=0;T<=w;T++){b[T]=[];let M=_.clone().lerp(v,T/w),S=x.clone().lerp(v,T/w),N=w-T;for(let P=0;P<=N;P++)P===0&&T===w?b[T][P]=M:b[T][P]=M.clone().lerp(S,P/N)}for(let T=0;T<w;T++)for(let M=0;M<2*(w-T)-1;M++){let S=Math.floor(M/2);M%2===0?(p(b[T][S+1]),p(b[T+1][S]),p(b[T][S])):(p(b[T][S+1]),p(b[T+1][S+1]),p(b[T+1][S]))}}function c(_){let x=new U;for(let v=0;v<r.length;v+=3)x.x=r[v+0],x.y=r[v+1],x.z=r[v+2],x.normalize().multiplyScalar(_),r[v+0]=x.x,r[v+1]=x.y,r[v+2]=x.z}function h(){let _=new U;for(let x=0;x<r.length;x+=3){_.x=r[x+0],_.y=r[x+1],_.z=r[x+2];let v=u(_)/2/Math.PI+.5,A=d(_)/Math.PI+.5;a.push(v,1-A)}g(),f()}function f(){for(let _=0;_<a.length;_+=6){let x=a[_+0],v=a[_+2],A=a[_+4],w=Math.max(x,v,A),b=Math.min(x,v,A);w>.9&&b<.1&&(x<.2&&(a[_+0]+=1),v<.2&&(a[_+2]+=1),A<.2&&(a[_+4]+=1))}}function p(_){r.push(_.x,_.y,_.z)}function m(_,x){let v=_*3;x.x=e[v+0],x.y=e[v+1],x.z=e[v+2]}function g(){let _=new U,x=new U,v=new U,A=new U,w=new ne,b=new ne,T=new ne;for(let M=0,S=0;M<r.length;M+=9,S+=6){_.set(r[M+0],r[M+1],r[M+2]),x.set(r[M+3],r[M+4],r[M+5]),v.set(r[M+6],r[M+7],r[M+8]),w.set(a[S+0],a[S+1]),b.set(a[S+2],a[S+3]),T.set(a[S+4],a[S+5]),A.copy(_).add(x).add(v).divideScalar(3);let N=u(A);y(w,S+0,_,N),y(b,S+2,x,N),y(T,S+4,v,N)}}function y(_,x,v,A){A<0&&_.x===1&&(a[x]=_.x-1),v.x===0&&v.z===0&&(a[x]=A/2/Math.PI+.5)}function u(_){return Math.atan2(_.z,-_.x)}function d(_){return Math.atan2(-_.y,Math.sqrt(_.x*_.x+_.z*_.z))}}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}static fromJSON(e){return new s(e.vertices,e.indices,e.radius,e.details)}},Eo=class s extends ri{constructor(e=1,t=0){let n=(1+Math.sqrt(5))/2,i=1/n,r=[-1,-1,-1,-1,-1,1,-1,1,-1,-1,1,1,1,-1,-1,1,-1,1,1,1,-1,1,1,1,0,-i,-n,0,-i,n,0,i,-n,0,i,n,-i,-n,0,-i,n,0,i,-n,0,i,n,0,-n,0,-i,n,0,-i,-n,0,i,n,0,i],a=[3,11,7,3,7,15,3,15,13,7,19,17,7,17,6,7,6,15,17,4,8,17,8,10,17,10,6,8,0,16,8,16,2,8,2,10,0,12,1,0,1,18,0,18,16,6,10,2,6,2,13,6,13,15,2,16,18,2,18,3,2,3,13,18,1,9,18,9,11,18,11,3,4,14,12,4,12,0,4,0,8,11,9,5,11,5,19,11,19,7,19,5,14,19,14,4,19,4,17,1,12,14,1,14,5,1,5,9];super(r,a,e,t),this.type="DodecahedronGeometry",this.parameters={radius:e,detail:t}}static fromJSON(e){return new s(e.radius,e.detail)}},Pa=new U,La=new U,jl=new U,Ia=new Nn,wo=class extends Ye{constructor(e=null,t=1){if(super(),this.type="EdgesGeometry",this.parameters={geometry:e,thresholdAngle:t},e!==null){let i=Math.pow(10,4),r=Math.cos(Pi*t),a=e.getIndex(),o=e.getAttribute("position"),l=a?a.count:o.count,c=[0,0,0],h=["a","b","c"],f=new Array(3),p={},m=[];for(let g=0;g<l;g+=3){a?(c[0]=a.getX(g),c[1]=a.getX(g+1),c[2]=a.getX(g+2)):(c[0]=g,c[1]=g+1,c[2]=g+2);let{a:y,b:u,c:d}=Ia;if(y.fromBufferAttribute(o,c[0]),u.fromBufferAttribute(o,c[1]),d.fromBufferAttribute(o,c[2]),Ia.getNormal(jl),f[0]=`${Math.round(y.x*i)},${Math.round(y.y*i)},${Math.round(y.z*i)}`,f[1]=`${Math.round(u.x*i)},${Math.round(u.y*i)},${Math.round(u.z*i)}`,f[2]=`${Math.round(d.x*i)},${Math.round(d.y*i)},${Math.round(d.z*i)}`,!(f[0]===f[1]||f[1]===f[2]||f[2]===f[0]))for(let _=0;_<3;_++){let x=(_+1)%3,v=f[_],A=f[x],w=Ia[h[_]],b=Ia[h[x]],T=`${v}_${A}`,M=`${A}_${v}`;M in p&&p[M]?(jl.dot(p[M].normal)<=r&&(m.push(w.x,w.y,w.z),m.push(b.x,b.y,b.z)),p[M]=null):T in p||(p[T]={index0:c[_],index1:c[x],normal:jl.clone()})}}for(let g in p)if(p[g]){let{index0:y,index1:u}=p[g];Pa.fromBufferAttribute(o,y),La.fromBufferAttribute(o,u),m.push(Pa.x,Pa.y,Pa.z),m.push(La.x,La.y,La.z)}this.setAttribute("position",new Pe(m,3))}}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}},zn=class extends Oi{constructor(e){super(e),this.uuid=Jt(),this.type="Shape",this.holes=[]}getPointsHoles(e){let t=[];for(let n=0,i=this.holes.length;n<i;n++)t[n]=this.holes[n].getPoints(e);return t}extractPoints(e){return{shape:this.getPoints(e),holes:this.getPointsHoles(e)}}copy(e){super.copy(e),this.holes=[];for(let t=0,n=e.holes.length;t<n;t++){let i=e.holes[t];this.holes.push(i.clone())}return this}toJSON(){let e=super.toJSON();e.uuid=this.uuid,e.holes=[];for(let t=0,n=this.holes.length;t<n;t++){let i=this.holes[t];e.holes.push(i.toJSON())}return e}fromJSON(e){super.fromJSON(e),this.uuid=e.uuid,this.holes=[];for(let t=0,n=e.holes.length;t<n;t++){let i=e.holes[t];this.holes.push(new Oi().fromJSON(i))}return this}},vv={triangulate:function(s,e,t=2){let n=e&&e.length,i=n?e[0]*t:s.length,r=Bp(s,0,i,t,!0),a=[];if(!r||r.next===r.prev)return a;let o,l,c,h,f,p,m;if(n&&(r=wv(s,e,r,t)),s.length>80*t){o=c=s[0],l=h=s[1];for(let g=t;g<i;g+=t)f=s[g],p=s[g+1],f<o&&(o=f),p<l&&(l=p),f>c&&(c=f),p>h&&(h=p);m=Math.max(c-o,h-l),m=m!==0?32767/m:0}return Ir(r,a,t,o,l,m,0),a}};function Bp(s,e,t,n,i){let r,a;if(i===Ov(s,e,t,n)>0)for(r=e;r<t;r+=n)a=jd(r,s[r],s[r+1],a);else for(r=t-n;r>=e;r-=n)a=jd(r,s[r],s[r+1],a);return a&&ul(a,a.next)&&(Nr(a),a=a.next),a}function Fi(s,e){if(!s)return s;e||(e=s);let t=s,n;do if(n=!1,!t.steiner&&(ul(t,t.next)||ot(t.prev,t,t.next)===0)){if(Nr(t),t=e=t.prev,t===t.next)break;n=!0}else t=t.next;while(n||t!==e);return e}function Ir(s,e,t,n,i,r,a){if(!s)return;!a&&r&&Pv(s,n,i,r);let o=s,l,c;for(;s.prev!==s.next;){if(l=s.prev,c=s.next,r?bv(s,n,i,r):Mv(s)){e.push(l.i/t|0),e.push(s.i/t|0),e.push(c.i/t|0),Nr(s),s=c.next,o=c.next;continue}if(s=c,s===o){a?a===1?(s=Sv(Fi(s),e,t),Ir(s,e,t,n,i,r,2)):a===2&&Ev(s,e,t,n,i,r):Ir(Fi(s),e,t,n,i,r,1);break}}}function Mv(s){let e=s.prev,t=s,n=s.next;if(ot(e,t,n)>=0)return!1;let i=e.x,r=t.x,a=n.x,o=e.y,l=t.y,c=n.y,h=i<r?i<a?i:a:r<a?r:a,f=o<l?o<c?o:c:l<c?l:c,p=i>r?i>a?i:a:r>a?r:a,m=o>l?o>c?o:c:l>c?l:c,g=n.next;for(;g!==e;){if(g.x>=h&&g.x<=p&&g.y>=f&&g.y<=m&&ps(i,o,r,l,a,c,g.x,g.y)&&ot(g.prev,g,g.next)>=0)return!1;g=g.next}return!0}function bv(s,e,t,n){let i=s.prev,r=s,a=s.next;if(ot(i,r,a)>=0)return!1;let o=i.x,l=r.x,c=a.x,h=i.y,f=r.y,p=a.y,m=o<l?o<c?o:c:l<c?l:c,g=h<f?h<p?h:p:f<p?f:p,y=o>l?o>c?o:c:l>c?l:c,u=h>f?h>p?h:p:f>p?f:p,d=lh(m,g,e,t,n),_=lh(y,u,e,t,n),x=s.prevZ,v=s.nextZ;for(;x&&x.z>=d&&v&&v.z<=_;){if(x.x>=m&&x.x<=y&&x.y>=g&&x.y<=u&&x!==i&&x!==a&&ps(o,h,l,f,c,p,x.x,x.y)&&ot(x.prev,x,x.next)>=0||(x=x.prevZ,v.x>=m&&v.x<=y&&v.y>=g&&v.y<=u&&v!==i&&v!==a&&ps(o,h,l,f,c,p,v.x,v.y)&&ot(v.prev,v,v.next)>=0))return!1;v=v.nextZ}for(;x&&x.z>=d;){if(x.x>=m&&x.x<=y&&x.y>=g&&x.y<=u&&x!==i&&x!==a&&ps(o,h,l,f,c,p,x.x,x.y)&&ot(x.prev,x,x.next)>=0)return!1;x=x.prevZ}for(;v&&v.z<=_;){if(v.x>=m&&v.x<=y&&v.y>=g&&v.y<=u&&v!==i&&v!==a&&ps(o,h,l,f,c,p,v.x,v.y)&&ot(v.prev,v,v.next)>=0)return!1;v=v.nextZ}return!0}function Sv(s,e,t){let n=s;do{let i=n.prev,r=n.next.next;!ul(i,r)&&zp(i,n,n.next,r)&&Dr(i,r)&&Dr(r,i)&&(e.push(i.i/t|0),e.push(n.i/t|0),e.push(r.i/t|0),Nr(n),Nr(n.next),n=s=r),n=n.next}while(n!==s);return Fi(n)}function Ev(s,e,t,n,i,r){let a=s;do{let o=a.next.next;for(;o!==a.prev;){if(a.i!==o.i&&Dv(a,o)){let l=kp(a,o);a=Fi(a,a.next),l=Fi(l,l.next),Ir(a,e,t,n,i,r,0),Ir(l,e,t,n,i,r,0);return}o=o.next}a=a.next}while(a!==s)}function wv(s,e,t,n){let i=[],r,a,o,l,c;for(r=0,a=e.length;r<a;r++)o=e[r]*n,l=r<a-1?e[r+1]*n:s.length,c=Bp(s,o,l,n,!1),c===c.next&&(c.steiner=!0),i.push(Iv(c));for(i.sort(Tv),r=0;r<i.length;r++)t=Av(i[r],t);return t}function Tv(s,e){return s.x-e.x}function Av(s,e){let t=Cv(s,e);if(!t)return e;let n=kp(t,s);return Fi(n,n.next),Fi(t,t.next)}function Cv(s,e){let t=e,n=-1/0,i,r=s.x,a=s.y;do{if(a<=t.y&&a>=t.next.y&&t.next.y!==t.y){let p=t.x+(a-t.y)*(t.next.x-t.x)/(t.next.y-t.y);if(p<=r&&p>n&&(n=p,i=t.x<t.next.x?t:t.next,p===r))return i}t=t.next}while(t!==e);if(!i)return null;let o=i,l=i.x,c=i.y,h=1/0,f;t=i;do r>=t.x&&t.x>=l&&r!==t.x&&ps(a<c?r:n,a,l,c,a<c?n:r,a,t.x,t.y)&&(f=Math.abs(a-t.y)/(r-t.x),Dr(t,s)&&(f<h||f===h&&(t.x>i.x||t.x===i.x&&Rv(i,t)))&&(i=t,h=f)),t=t.next;while(t!==o);return i}function Rv(s,e){return ot(s.prev,s,e.prev)<0&&ot(e.next,s,s.next)<0}function Pv(s,e,t,n){let i=s;do i.z===0&&(i.z=lh(i.x,i.y,e,t,n)),i.prevZ=i.prev,i.nextZ=i.next,i=i.next;while(i!==s);i.prevZ.nextZ=null,i.prevZ=null,Lv(i)}function Lv(s){let e,t,n,i,r,a,o,l,c=1;do{for(t=s,s=null,r=null,a=0;t;){for(a++,n=t,o=0,e=0;e<c&&(o++,n=n.nextZ,!!n);e++);for(l=c;o>0||l>0&&n;)o!==0&&(l===0||!n||t.z<=n.z)?(i=t,t=t.nextZ,o--):(i=n,n=n.nextZ,l--),r?r.nextZ=i:s=i,i.prevZ=r,r=i;t=n}r.nextZ=null,c*=2}while(a>1);return s}function lh(s,e,t,n,i){return s=(s-t)*i|0,e=(e-n)*i|0,s=(s|s<<8)&16711935,s=(s|s<<4)&252645135,s=(s|s<<2)&858993459,s=(s|s<<1)&1431655765,e=(e|e<<8)&16711935,e=(e|e<<4)&252645135,e=(e|e<<2)&858993459,e=(e|e<<1)&1431655765,s|e<<1}function Iv(s){let e=s,t=s;do(e.x<t.x||e.x===t.x&&e.y<t.y)&&(t=e),e=e.next;while(e!==s);return t}function ps(s,e,t,n,i,r,a,o){return(i-a)*(e-o)>=(s-a)*(r-o)&&(s-a)*(n-o)>=(t-a)*(e-o)&&(t-a)*(r-o)>=(i-a)*(n-o)}function Dv(s,e){return s.next.i!==e.i&&s.prev.i!==e.i&&!Nv(s,e)&&(Dr(s,e)&&Dr(e,s)&&Uv(s,e)&&(ot(s.prev,s,e.prev)||ot(s,e.prev,e))||ul(s,e)&&ot(s.prev,s,s.next)>0&&ot(e.prev,e,e.next)>0)}function ot(s,e,t){return(e.y-s.y)*(t.x-e.x)-(e.x-s.x)*(t.y-e.y)}function ul(s,e){return s.x===e.x&&s.y===e.y}function zp(s,e,t,n){let i=Na(ot(s,e,t)),r=Na(ot(s,e,n)),a=Na(ot(t,n,s)),o=Na(ot(t,n,e));return!!(i!==r&&a!==o||i===0&&Da(s,t,e)||r===0&&Da(s,n,e)||a===0&&Da(t,s,n)||o===0&&Da(t,e,n))}function Da(s,e,t){return e.x<=Math.max(s.x,t.x)&&e.x>=Math.min(s.x,t.x)&&e.y<=Math.max(s.y,t.y)&&e.y>=Math.min(s.y,t.y)}function Na(s){return s>0?1:s<0?-1:0}function Nv(s,e){let t=s;do{if(t.i!==s.i&&t.next.i!==s.i&&t.i!==e.i&&t.next.i!==e.i&&zp(t,t.next,s,e))return!0;t=t.next}while(t!==s);return!1}function Dr(s,e){return ot(s.prev,s,s.next)<0?ot(s,e,s.next)>=0&&ot(s,s.prev,e)>=0:ot(s,e,s.prev)<0||ot(s,s.next,e)<0}function Uv(s,e){let t=s,n=!1,i=(s.x+e.x)/2,r=(s.y+e.y)/2;do t.y>r!=t.next.y>r&&t.next.y!==t.y&&i<(t.next.x-t.x)*(r-t.y)/(t.next.y-t.y)+t.x&&(n=!n),t=t.next;while(t!==s);return n}function kp(s,e){let t=new ch(s.i,s.x,s.y),n=new ch(e.i,e.x,e.y),i=s.next,r=e.prev;return s.next=e,e.prev=s,t.next=i,i.prev=t,n.next=t,t.prev=n,r.next=n,n.prev=r,n}function jd(s,e,t,n){let i=new ch(s,e,t);return n?(i.next=n.next,i.prev=n,n.next.prev=i,n.next=i):(i.prev=i,i.next=i),i}function Nr(s){s.next.prev=s.prev,s.prev.next=s.next,s.prevZ&&(s.prevZ.nextZ=s.nextZ),s.nextZ&&(s.nextZ.prevZ=s.prevZ)}function ch(s,e,t){this.i=s,this.x=e,this.y=t,this.prev=null,this.next=null,this.z=0,this.prevZ=null,this.nextZ=null,this.steiner=!1}function Ov(s,e,t,n){let i=0;for(let r=e,a=t-n;r<t;r+=n)i+=(s[a]-s[r])*(s[r+1]+s[a+1]),a=r;return i}var gn=class s{static area(e){let t=e.length,n=0;for(let i=t-1,r=0;r<t;i=r++)n+=e[i].x*e[r].y-e[r].x*e[i].y;return n*.5}static isClockWise(e){return s.area(e)<0}static triangulateShape(e,t){let n=[],i=[],r=[];Qd(e),ef(n,e);let a=e.length;t.forEach(Qd);for(let l=0;l<t.length;l++)i.push(a),a+=t[l].length,ef(n,t[l]);let o=vv.triangulate(n,i);for(let l=0;l<o.length;l+=3)r.push(o.slice(l,l+3));return r}};function Qd(s){let e=s.length;e>2&&s[e-1].equals(s[0])&&s.pop()}function ef(s,e){for(let t=0;t<e.length;t++)s.push(e[t].x),s.push(e[t].y)}var To=class s extends Ye{constructor(e=new zn([new ne(.5,.5),new ne(-.5,.5),new ne(-.5,-.5),new ne(.5,-.5)]),t={}){super(),this.type="ExtrudeGeometry",this.parameters={shapes:e,options:t},e=Array.isArray(e)?e:[e];let n=this,i=[],r=[];for(let o=0,l=e.length;o<l;o++){let c=e[o];a(c)}this.setAttribute("position",new Pe(i,3)),this.setAttribute("uv",new Pe(r,2)),this.computeVertexNormals();function a(o){let l=[],c=t.curveSegments!==void 0?t.curveSegments:12,h=t.steps!==void 0?t.steps:1,f=t.depth!==void 0?t.depth:1,p=t.bevelEnabled!==void 0?t.bevelEnabled:!0,m=t.bevelThickness!==void 0?t.bevelThickness:.2,g=t.bevelSize!==void 0?t.bevelSize:m-.1,y=t.bevelOffset!==void 0?t.bevelOffset:0,u=t.bevelSegments!==void 0?t.bevelSegments:3,d=t.extrudePath,_=t.UVGenerator!==void 0?t.UVGenerator:Fv,x,v=!1,A,w,b,T;d&&(x=d.getSpacedPoints(h),v=!0,p=!1,A=d.computeFrenetFrames(h,!1),w=new U,b=new U,T=new U),p||(u=0,m=0,g=0,y=0);let M=o.extractPoints(c),S=M.shape,N=M.holes;if(!gn.isClockWise(S)){S=S.reverse();for(let F=0,re=N.length;F<re;F++){let Q=N[F];gn.isClockWise(Q)&&(N[F]=Q.reverse())}}let R=gn.triangulateShape(S,N),C=S;for(let F=0,re=N.length;F<re;F++){let Q=N[F];S=S.concat(Q)}function I(F,re,Q){return re||console.error("THREE.ExtrudeGeometry: vec does not exist"),F.clone().addScaledVector(re,Q)}let B=S.length,H=R.length;function X(F,re,Q){let le,j,Re,xe=F.x-re.x,L=F.y-re.y,E=Q.x-F.x,k=Q.y-F.y,ee=xe*xe+L*L,ie=xe*k-L*E;if(Math.abs(ie)>Number.EPSILON){let se=Math.sqrt(ee),Te=Math.sqrt(E*E+k*k),pe=re.x-L/se,ve=re.y+xe/se,be=Q.x-k/Te,Fe=Q.y+E/Te,ce=((be-pe)*k-(Fe-ve)*E)/(xe*k-L*E);le=pe+xe*ce-F.x,j=ve+L*ce-F.y;let je=le*le+j*j;if(je<=2)return new ne(le,j);Re=Math.sqrt(je/2)}else{let se=!1;xe>Number.EPSILON?E>Number.EPSILON&&(se=!0):xe<-Number.EPSILON?E<-Number.EPSILON&&(se=!0):Math.sign(L)===Math.sign(k)&&(se=!0),se?(le=-L,j=xe,Re=Math.sqrt(ee)):(le=xe,j=L,Re=Math.sqrt(ee/2))}return new ne(le/Re,j/Re)}let V=[];for(let F=0,re=C.length,Q=re-1,le=F+1;F<re;F++,Q++,le++)Q===re&&(Q=0),le===re&&(le=0),V[F]=X(C[F],C[Q],C[le]);let W=[],Y,te=V.concat();for(let F=0,re=N.length;F<re;F++){let Q=N[F];Y=[];for(let le=0,j=Q.length,Re=j-1,xe=le+1;le<j;le++,Re++,xe++)Re===j&&(Re=0),xe===j&&(xe=0),Y[le]=X(Q[le],Q[Re],Q[xe]);W.push(Y),te=te.concat(Y)}for(let F=0;F<u;F++){let re=F/u,Q=m*Math.cos(re*Math.PI/2),le=g*Math.sin(re*Math.PI/2)+y;for(let j=0,Re=C.length;j<Re;j++){let xe=I(C[j],V[j],le);ue(xe.x,xe.y,-Q)}for(let j=0,Re=N.length;j<Re;j++){let xe=N[j];Y=W[j];for(let L=0,E=xe.length;L<E;L++){let k=I(xe[L],Y[L],le);ue(k.x,k.y,-Q)}}}let G=g+y;for(let F=0;F<B;F++){let re=p?I(S[F],te[F],G):S[F];v?(b.copy(A.normals[0]).multiplyScalar(re.x),w.copy(A.binormals[0]).multiplyScalar(re.y),T.copy(x[0]).add(b).add(w),ue(T.x,T.y,T.z)):ue(re.x,re.y,0)}for(let F=1;F<=h;F++)for(let re=0;re<B;re++){let Q=p?I(S[re],te[re],G):S[re];v?(b.copy(A.normals[F]).multiplyScalar(Q.x),w.copy(A.binormals[F]).multiplyScalar(Q.y),T.copy(x[F]).add(b).add(w),ue(T.x,T.y,T.z)):ue(Q.x,Q.y,f/h*F)}for(let F=u-1;F>=0;F--){let re=F/u,Q=m*Math.cos(re*Math.PI/2),le=g*Math.sin(re*Math.PI/2)+y;for(let j=0,Re=C.length;j<Re;j++){let xe=I(C[j],V[j],le);ue(xe.x,xe.y,f+Q)}for(let j=0,Re=N.length;j<Re;j++){let xe=N[j];Y=W[j];for(let L=0,E=xe.length;L<E;L++){let k=I(xe[L],Y[L],le);v?ue(k.x,k.y+x[h-1].y,x[h-1].x+Q):ue(k.x,k.y,f+Q)}}}$(),ae();function $(){let F=i.length/3;if(p){let re=0,Q=B*re;for(let le=0;le<H;le++){let j=R[le];oe(j[2]+Q,j[1]+Q,j[0]+Q)}re=h+u*2,Q=B*re;for(let le=0;le<H;le++){let j=R[le];oe(j[0]+Q,j[1]+Q,j[2]+Q)}}else{for(let re=0;re<H;re++){let Q=R[re];oe(Q[2],Q[1],Q[0])}for(let re=0;re<H;re++){let Q=R[re];oe(Q[0]+B*h,Q[1]+B*h,Q[2]+B*h)}}n.addGroup(F,i.length/3-F,0)}function ae(){let F=i.length/3,re=0;ge(C,re),re+=C.length;for(let Q=0,le=N.length;Q<le;Q++){let j=N[Q];ge(j,re),re+=j.length}n.addGroup(F,i.length/3-F,1)}function ge(F,re){let Q=F.length;for(;--Q>=0;){let le=Q,j=Q-1;j<0&&(j=F.length-1);for(let Re=0,xe=h+u*2;Re<xe;Re++){let L=B*Re,E=B*(Re+1),k=re+le+L,ee=re+j+L,ie=re+j+E,se=re+le+E;ye(k,ee,ie,se)}}}function ue(F,re,Q){l.push(F),l.push(re),l.push(Q)}function oe(F,re,Q){de(F),de(re),de(Q);let le=i.length/3,j=_.generateTopUV(n,i,le-3,le-2,le-1);Ce(j[0]),Ce(j[1]),Ce(j[2])}function ye(F,re,Q,le){de(F),de(re),de(le),de(re),de(Q),de(le);let j=i.length/3,Re=_.generateSideWallUV(n,i,j-6,j-3,j-2,j-1);Ce(Re[0]),Ce(Re[1]),Ce(Re[3]),Ce(Re[1]),Ce(Re[2]),Ce(Re[3])}function de(F){i.push(l[F*3+0]),i.push(l[F*3+1]),i.push(l[F*3+2])}function Ce(F){r.push(F.x),r.push(F.y)}}}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}toJSON(){let e=super.toJSON(),t=this.parameters.shapes,n=this.parameters.options;return Bv(t,n,e)}static fromJSON(e,t){let n=[];for(let r=0,a=e.shapes.length;r<a;r++){let o=t[e.shapes[r]];n.push(o)}let i=e.options.extrudePath;return i!==void 0&&(e.options.extrudePath=new xo[i.type]().fromJSON(i)),new s(n,e.options)}},Fv={generateTopUV:function(s,e,t,n,i){let r=e[t*3],a=e[t*3+1],o=e[n*3],l=e[n*3+1],c=e[i*3],h=e[i*3+1];return[new ne(r,a),new ne(o,l),new ne(c,h)]},generateSideWallUV:function(s,e,t,n,i,r){let a=e[t*3],o=e[t*3+1],l=e[t*3+2],c=e[n*3],h=e[n*3+1],f=e[n*3+2],p=e[i*3],m=e[i*3+1],g=e[i*3+2],y=e[r*3],u=e[r*3+1],d=e[r*3+2];return Math.abs(o-h)<Math.abs(a-c)?[new ne(a,1-l),new ne(c,1-f),new ne(p,1-g),new ne(y,1-d)]:[new ne(o,1-l),new ne(h,1-f),new ne(m,1-g),new ne(u,1-d)]}};function Bv(s,e,t){if(t.shapes=[],Array.isArray(s))for(let n=0,i=s.length;n<i;n++){let r=s[n];t.shapes.push(r.uuid)}else t.shapes.push(s.uuid);return t.options=Object.assign({},e),e.extrudePath!==void 0&&(t.options.extrudePath=e.extrudePath.toJSON()),t}var Ao=class s extends ri{constructor(e=1,t=0){let n=(1+Math.sqrt(5))/2,i=[-1,n,0,1,n,0,-1,-n,0,1,-n,0,0,-1,n,0,1,n,0,-1,-n,0,1,-n,n,0,-1,n,0,1,-n,0,-1,-n,0,1],r=[0,11,5,0,5,1,0,1,7,0,7,10,0,10,11,1,5,9,5,11,4,11,10,2,10,7,6,7,1,8,3,9,4,3,4,2,3,2,6,3,6,8,3,8,9,4,9,5,2,4,11,6,2,10,8,6,7,9,8,1];super(i,r,e,t),this.type="IcosahedronGeometry",this.parameters={radius:e,detail:t}}static fromJSON(e){return new s(e.radius,e.detail)}},Ur=class s extends ri{constructor(e=1,t=0){let n=[1,0,0,-1,0,0,0,1,0,0,-1,0,0,0,1,0,0,-1],i=[0,2,4,0,4,3,0,3,5,0,5,2,1,2,5,1,5,3,1,3,4,1,4,2];super(n,i,e,t),this.type="OctahedronGeometry",this.parameters={radius:e,detail:t}}static fromJSON(e){return new s(e.radius,e.detail)}},Co=class s extends Ye{constructor(e=.5,t=1,n=32,i=1,r=0,a=Math.PI*2){super(),this.type="RingGeometry",this.parameters={innerRadius:e,outerRadius:t,thetaSegments:n,phiSegments:i,thetaStart:r,thetaLength:a},n=Math.max(3,n),i=Math.max(1,i);let o=[],l=[],c=[],h=[],f=e,p=(t-e)/i,m=new U,g=new ne;for(let y=0;y<=i;y++){for(let u=0;u<=n;u++){let d=r+u/n*a;m.x=f*Math.cos(d),m.y=f*Math.sin(d),l.push(m.x,m.y,m.z),c.push(0,0,1),g.x=(m.x/t+1)/2,g.y=(m.y/t+1)/2,h.push(g.x,g.y)}f+=p}for(let y=0;y<i;y++){let u=y*(n+1);for(let d=0;d<n;d++){let _=d+u,x=_,v=_+n+1,A=_+n+2,w=_+1;o.push(x,v,w),o.push(v,A,w)}}this.setIndex(o),this.setAttribute("position",new Pe(l,3)),this.setAttribute("normal",new Pe(c,3)),this.setAttribute("uv",new Pe(h,2))}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}static fromJSON(e){return new s(e.innerRadius,e.outerRadius,e.thetaSegments,e.phiSegments,e.thetaStart,e.thetaLength)}},Ro=class s extends Ye{constructor(e=new zn([new ne(0,.5),new ne(-.5,-.5),new ne(.5,-.5)]),t=12){super(),this.type="ShapeGeometry",this.parameters={shapes:e,curveSegments:t};let n=[],i=[],r=[],a=[],o=0,l=0;if(Array.isArray(e)===!1)c(e);else for(let h=0;h<e.length;h++)c(e[h]),this.addGroup(o,l,h),o+=l,l=0;this.setIndex(n),this.setAttribute("position",new Pe(i,3)),this.setAttribute("normal",new Pe(r,3)),this.setAttribute("uv",new Pe(a,2));function c(h){let f=i.length/3,p=h.extractPoints(t),m=p.shape,g=p.holes;gn.isClockWise(m)===!1&&(m=m.reverse());for(let u=0,d=g.length;u<d;u++){let _=g[u];gn.isClockWise(_)===!0&&(g[u]=_.reverse())}let y=gn.triangulateShape(m,g);for(let u=0,d=g.length;u<d;u++){let _=g[u];m=m.concat(_)}for(let u=0,d=m.length;u<d;u++){let _=m[u];i.push(_.x,_.y,0),r.push(0,0,1),a.push(_.x,_.y)}for(let u=0,d=y.length;u<d;u++){let _=y[u],x=_[0]+f,v=_[1]+f,A=_[2]+f;n.push(x,v,A),l+=3}}}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}toJSON(){let e=super.toJSON(),t=this.parameters.shapes;return zv(t,e)}static fromJSON(e,t){let n=[];for(let i=0,r=e.shapes.length;i<r;i++){let a=t[e.shapes[i]];n.push(a)}return new s(n,e.curveSegments)}};function zv(s,e){if(e.shapes=[],Array.isArray(s))for(let t=0,n=s.length;t<n;t++){let i=s[t];e.shapes.push(i.uuid)}else e.shapes.push(s.uuid);return e}var Or=class s extends Ye{constructor(e=1,t=32,n=16,i=0,r=Math.PI*2,a=0,o=Math.PI){super(),this.type="SphereGeometry",this.parameters={radius:e,widthSegments:t,heightSegments:n,phiStart:i,phiLength:r,thetaStart:a,thetaLength:o},t=Math.max(3,Math.floor(t)),n=Math.max(2,Math.floor(n));let l=Math.min(a+o,Math.PI),c=0,h=[],f=new U,p=new U,m=[],g=[],y=[],u=[];for(let d=0;d<=n;d++){let _=[],x=d/n,v=0;d===0&&a===0?v=.5/t:d===n&&l===Math.PI&&(v=-.5/t);for(let A=0;A<=t;A++){let w=A/t;f.x=-e*Math.cos(i+w*r)*Math.sin(a+x*o),f.y=e*Math.cos(a+x*o),f.z=e*Math.sin(i+w*r)*Math.sin(a+x*o),g.push(f.x,f.y,f.z),p.copy(f).normalize(),y.push(p.x,p.y,p.z),u.push(w+v,1-x),_.push(c++)}h.push(_)}for(let d=0;d<n;d++)for(let _=0;_<t;_++){let x=h[d][_+1],v=h[d][_],A=h[d+1][_],w=h[d+1][_+1];(d!==0||a>0)&&m.push(x,v,w),(d!==n-1||l<Math.PI)&&m.push(v,A,w)}this.setIndex(m),this.setAttribute("position",new Pe(g,3)),this.setAttribute("normal",new Pe(y,3)),this.setAttribute("uv",new Pe(u,2))}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}static fromJSON(e){return new s(e.radius,e.widthSegments,e.heightSegments,e.phiStart,e.phiLength,e.thetaStart,e.thetaLength)}},Po=class s extends ri{constructor(e=1,t=0){let n=[1,1,1,-1,-1,1,-1,1,-1,1,-1,-1],i=[2,1,0,0,3,2,1,3,0,2,3,1];super(n,i,e,t),this.type="TetrahedronGeometry",this.parameters={radius:e,detail:t}}static fromJSON(e){return new s(e.radius,e.detail)}},Lo=class s extends Ye{constructor(e=1,t=.4,n=12,i=48,r=Math.PI*2){super(),this.type="TorusGeometry",this.parameters={radius:e,tube:t,radialSegments:n,tubularSegments:i,arc:r},n=Math.floor(n),i=Math.floor(i);let a=[],o=[],l=[],c=[],h=new U,f=new U,p=new U;for(let m=0;m<=n;m++)for(let g=0;g<=i;g++){let y=g/i*r,u=m/n*Math.PI*2;f.x=(e+t*Math.cos(u))*Math.cos(y),f.y=(e+t*Math.cos(u))*Math.sin(y),f.z=t*Math.sin(u),o.push(f.x,f.y,f.z),h.x=e*Math.cos(y),h.y=e*Math.sin(y),p.subVectors(f,h).normalize(),l.push(p.x,p.y,p.z),c.push(g/i),c.push(m/n)}for(let m=1;m<=n;m++)for(let g=1;g<=i;g++){let y=(i+1)*m+g-1,u=(i+1)*(m-1)+g-1,d=(i+1)*(m-1)+g,_=(i+1)*m+g;a.push(y,u,_),a.push(u,d,_)}this.setIndex(a),this.setAttribute("position",new Pe(o,3)),this.setAttribute("normal",new Pe(l,3)),this.setAttribute("uv",new Pe(c,2))}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}static fromJSON(e){return new s(e.radius,e.tube,e.radialSegments,e.tubularSegments,e.arc)}},Io=class s extends Ye{constructor(e=1,t=.4,n=64,i=8,r=2,a=3){super(),this.type="TorusKnotGeometry",this.parameters={radius:e,tube:t,tubularSegments:n,radialSegments:i,p:r,q:a},n=Math.floor(n),i=Math.floor(i);let o=[],l=[],c=[],h=[],f=new U,p=new U,m=new U,g=new U,y=new U,u=new U,d=new U;for(let x=0;x<=n;++x){let v=x/n*r*Math.PI*2;_(v,r,a,e,m),_(v+.01,r,a,e,g),u.subVectors(g,m),d.addVectors(g,m),y.crossVectors(u,d),d.crossVectors(y,u),y.normalize(),d.normalize();for(let A=0;A<=i;++A){let w=A/i*Math.PI*2,b=-t*Math.cos(w),T=t*Math.sin(w);f.x=m.x+(b*d.x+T*y.x),f.y=m.y+(b*d.y+T*y.y),f.z=m.z+(b*d.z+T*y.z),l.push(f.x,f.y,f.z),p.subVectors(f,m).normalize(),c.push(p.x,p.y,p.z),h.push(x/n),h.push(A/i)}}for(let x=1;x<=n;x++)for(let v=1;v<=i;v++){let A=(i+1)*(x-1)+(v-1),w=(i+1)*x+(v-1),b=(i+1)*x+v,T=(i+1)*(x-1)+v;o.push(A,w,T),o.push(w,b,T)}this.setIndex(o),this.setAttribute("position",new Pe(l,3)),this.setAttribute("normal",new Pe(c,3)),this.setAttribute("uv",new Pe(h,2));function _(x,v,A,w,b){let T=Math.cos(x),M=Math.sin(x),S=A/v*x,N=Math.cos(S);b.x=w*(2+N)*.5*T,b.y=w*(2+N)*M*.5,b.z=w*Math.sin(S)*.5}}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}static fromJSON(e){return new s(e.radius,e.tube,e.tubularSegments,e.radialSegments,e.p,e.q)}},Do=class s extends Ye{constructor(e=new Rr(new U(-1,-1,0),new U(-1,1,0),new U(1,1,0)),t=64,n=1,i=8,r=!1){super(),this.type="TubeGeometry",this.parameters={path:e,tubularSegments:t,radius:n,radialSegments:i,closed:r};let a=e.computeFrenetFrames(t,r);this.tangents=a.tangents,this.normals=a.normals,this.binormals=a.binormals;let o=new U,l=new U,c=new ne,h=new U,f=[],p=[],m=[],g=[];y(),this.setIndex(g),this.setAttribute("position",new Pe(f,3)),this.setAttribute("normal",new Pe(p,3)),this.setAttribute("uv",new Pe(m,2));function y(){for(let x=0;x<t;x++)u(x);u(r===!1?t:0),_(),d()}function u(x){h=e.getPointAt(x/t,h);let v=a.normals[x],A=a.binormals[x];for(let w=0;w<=i;w++){let b=w/i*Math.PI*2,T=Math.sin(b),M=-Math.cos(b);l.x=M*v.x+T*A.x,l.y=M*v.y+T*A.y,l.z=M*v.z+T*A.z,l.normalize(),p.push(l.x,l.y,l.z),o.x=h.x+n*l.x,o.y=h.y+n*l.y,o.z=h.z+n*l.z,f.push(o.x,o.y,o.z)}}function d(){for(let x=1;x<=t;x++)for(let v=1;v<=i;v++){let A=(i+1)*(x-1)+(v-1),w=(i+1)*x+(v-1),b=(i+1)*x+v,T=(i+1)*(x-1)+v;g.push(A,w,T),g.push(w,b,T)}}function _(){for(let x=0;x<=t;x++)for(let v=0;v<=i;v++)c.x=x/t,c.y=v/i,m.push(c.x,c.y)}}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}toJSON(){let e=super.toJSON();return e.path=this.parameters.path.toJSON(),e}static fromJSON(e){return new s(new xo[e.path.type]().fromJSON(e.path),e.tubularSegments,e.radius,e.radialSegments,e.closed)}},No=class extends Ye{constructor(e=null){if(super(),this.type="WireframeGeometry",this.parameters={geometry:e},e!==null){let t=[],n=new Set,i=new U,r=new U;if(e.index!==null){let a=e.attributes.position,o=e.index,l=e.groups;l.length===0&&(l=[{start:0,count:o.count,materialIndex:0}]);for(let c=0,h=l.length;c<h;++c){let f=l[c],p=f.start,m=f.count;for(let g=p,y=p+m;g<y;g+=3)for(let u=0;u<3;u++){let d=o.getX(g+u),_=o.getX(g+(u+1)%3);i.fromBufferAttribute(a,d),r.fromBufferAttribute(a,_),tf(i,r,n)===!0&&(t.push(i.x,i.y,i.z),t.push(r.x,r.y,r.z))}}}else{let a=e.attributes.position;for(let o=0,l=a.count/3;o<l;o++)for(let c=0;c<3;c++){let h=3*o+c,f=3*o+(c+1)%3;i.fromBufferAttribute(a,h),r.fromBufferAttribute(a,f),tf(i,r,n)===!0&&(t.push(i.x,i.y,i.z),t.push(r.x,r.y,r.z))}}this.setAttribute("position",new Pe(t,3))}}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}};function tf(s,e,t){let n=`${s.x},${s.y},${s.z}-${e.x},${e.y},${e.z}`,i=`${e.x},${e.y},${e.z}-${s.x},${s.y},${s.z}`;return t.has(n)===!0||t.has(i)===!0?!1:(t.add(n),t.add(i),!0)}var nf=Object.freeze({__proto__:null,BoxGeometry:Ii,CapsuleGeometry:Mo,CircleGeometry:bo,ConeGeometry:So,CylinderGeometry:Ps,DodecahedronGeometry:Eo,EdgesGeometry:wo,ExtrudeGeometry:To,IcosahedronGeometry:Ao,LatheGeometry:Lr,OctahedronGeometry:Ur,PlaneGeometry:_r,PolyhedronGeometry:ri,RingGeometry:Co,ShapeGeometry:Ro,SphereGeometry:Or,TetrahedronGeometry:Po,TorusGeometry:Lo,TorusKnotGeometry:Io,TubeGeometry:Do,WireframeGeometry:No}),Uo=class extends Pt{constructor(e){super(),this.isShadowMaterial=!0,this.type="ShadowMaterial",this.color=new Se(0),this.transparent=!0,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.fog=e.fog,this}},Oo=class extends nn{constructor(e){super(e),this.isRawShaderMaterial=!0,this.type="RawShaderMaterial"}},Fr=class extends Pt{constructor(e){super(),this.isMeshStandardMaterial=!0,this.defines={STANDARD:""},this.type="MeshStandardMaterial",this.color=new Se(16777215),this.roughness=1,this.metalness=0,this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new Se(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ci,this.normalScale=new ne(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.roughnessMap=null,this.metalnessMap=null,this.alphaMap=null,this.envMap=null,this.envMapIntensity=1,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.defines={STANDARD:""},this.color.copy(e.color),this.roughness=e.roughness,this.metalness=e.metalness,this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.roughnessMap=e.roughnessMap,this.metalnessMap=e.metalnessMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.envMapIntensity=e.envMapIntensity,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.flatShading=e.flatShading,this.fog=e.fog,this}},Fo=class extends Fr{constructor(e){super(),this.isMeshPhysicalMaterial=!0,this.defines={STANDARD:"",PHYSICAL:""},this.type="MeshPhysicalMaterial",this.anisotropyRotation=0,this.anisotropyMap=null,this.clearcoatMap=null,this.clearcoatRoughness=0,this.clearcoatRoughnessMap=null,this.clearcoatNormalScale=new ne(1,1),this.clearcoatNormalMap=null,this.ior=1.5,Object.defineProperty(this,"reflectivity",{get:function(){return ut(2.5*(this.ior-1)/(this.ior+1),0,1)},set:function(t){this.ior=(1+.4*t)/(1-.4*t)}}),this.iridescenceMap=null,this.iridescenceIOR=1.3,this.iridescenceThicknessRange=[100,400],this.iridescenceThicknessMap=null,this.sheenColor=new Se(0),this.sheenColorMap=null,this.sheenRoughness=1,this.sheenRoughnessMap=null,this.transmissionMap=null,this.thickness=0,this.thicknessMap=null,this.attenuationDistance=1/0,this.attenuationColor=new Se(1,1,1),this.specularIntensity=1,this.specularIntensityMap=null,this.specularColor=new Se(1,1,1),this.specularColorMap=null,this._anisotropy=0,this._clearcoat=0,this._iridescence=0,this._sheen=0,this._transmission=0,this.setValues(e)}get anisotropy(){return this._anisotropy}set anisotropy(e){this._anisotropy>0!=e>0&&this.version++,this._anisotropy=e}get clearcoat(){return this._clearcoat}set clearcoat(e){this._clearcoat>0!=e>0&&this.version++,this._clearcoat=e}get iridescence(){return this._iridescence}set iridescence(e){this._iridescence>0!=e>0&&this.version++,this._iridescence=e}get sheen(){return this._sheen}set sheen(e){this._sheen>0!=e>0&&this.version++,this._sheen=e}get transmission(){return this._transmission}set transmission(e){this._transmission>0!=e>0&&this.version++,this._transmission=e}copy(e){return super.copy(e),this.defines={STANDARD:"",PHYSICAL:""},this.anisotropy=e.anisotropy,this.anisotropyRotation=e.anisotropyRotation,this.anisotropyMap=e.anisotropyMap,this.clearcoat=e.clearcoat,this.clearcoatMap=e.clearcoatMap,this.clearcoatRoughness=e.clearcoatRoughness,this.clearcoatRoughnessMap=e.clearcoatRoughnessMap,this.clearcoatNormalMap=e.clearcoatNormalMap,this.clearcoatNormalScale.copy(e.clearcoatNormalScale),this.ior=e.ior,this.iridescence=e.iridescence,this.iridescenceMap=e.iridescenceMap,this.iridescenceIOR=e.iridescenceIOR,this.iridescenceThicknessRange=[...e.iridescenceThicknessRange],this.iridescenceThicknessMap=e.iridescenceThicknessMap,this.sheen=e.sheen,this.sheenColor.copy(e.sheenColor),this.sheenColorMap=e.sheenColorMap,this.sheenRoughness=e.sheenRoughness,this.sheenRoughnessMap=e.sheenRoughnessMap,this.transmission=e.transmission,this.transmissionMap=e.transmissionMap,this.thickness=e.thickness,this.thicknessMap=e.thicknessMap,this.attenuationDistance=e.attenuationDistance,this.attenuationColor.copy(e.attenuationColor),this.specularIntensity=e.specularIntensity,this.specularIntensityMap=e.specularIntensityMap,this.specularColor.copy(e.specularColor),this.specularColorMap=e.specularColorMap,this}},Bo=class extends Pt{constructor(e){super(),this.isMeshPhongMaterial=!0,this.type="MeshPhongMaterial",this.color=new Se(16777215),this.specular=new Se(1118481),this.shininess=30,this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new Se(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ci,this.normalScale=new ne(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.combine=Wr,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.specular.copy(e.specular),this.shininess=e.shininess,this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.flatShading=e.flatShading,this.fog=e.fog,this}},zo=class extends Pt{constructor(e){super(),this.isMeshToonMaterial=!0,this.defines={TOON:""},this.type="MeshToonMaterial",this.color=new Se(16777215),this.map=null,this.gradientMap=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new Se(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ci,this.normalScale=new ne(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.alphaMap=null,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.gradientMap=e.gradientMap,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.alphaMap=e.alphaMap,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.fog=e.fog,this}},ko=class extends Pt{constructor(e){super(),this.isMeshNormalMaterial=!0,this.type="MeshNormalMaterial",this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ci,this.normalScale=new ne(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.flatShading=!1,this.setValues(e)}copy(e){return super.copy(e),this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.flatShading=e.flatShading,this}},Vo=class extends Pt{constructor(e){super(),this.isMeshLambertMaterial=!0,this.type="MeshLambertMaterial",this.color=new Se(16777215),this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new Se(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ci,this.normalScale=new ne(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.combine=Wr,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.flatShading=e.flatShading,this.fog=e.fog,this}},Ho=class extends Pt{constructor(e){super(),this.isMeshMatcapMaterial=!0,this.defines={MATCAP:""},this.type="MeshMatcapMaterial",this.color=new Se(16777215),this.matcap=null,this.map=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ci,this.normalScale=new ne(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.alphaMap=null,this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.defines={MATCAP:""},this.color.copy(e.color),this.matcap=e.matcap,this.map=e.map,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.alphaMap=e.alphaMap,this.flatShading=e.flatShading,this.fog=e.fog,this}},Go=class extends Lt{constructor(e){super(),this.isLineDashedMaterial=!0,this.type="LineDashedMaterial",this.scale=1,this.dashSize=3,this.gapSize=1,this.setValues(e)}copy(e){return super.copy(e),this.scale=e.scale,this.dashSize=e.dashSize,this.gapSize=e.gapSize,this}};function Ci(s,e,t){return!s||!t&&s.constructor===e?s:typeof e.BYTES_PER_ELEMENT=="number"?new e(s):Array.prototype.slice.call(s)}function Vp(s){return ArrayBuffer.isView(s)&&!(s instanceof DataView)}function Hp(s){function e(i,r){return s[i]-s[r]}let t=s.length,n=new Array(t);for(let i=0;i!==t;++i)n[i]=i;return n.sort(e),n}function hh(s,e,t){let n=s.length,i=new s.constructor(n);for(let r=0,a=0;a!==n;++r){let o=t[r]*e;for(let l=0;l!==e;++l)i[a++]=s[o+l]}return i}function pu(s,e,t,n){let i=1,r=s[0];for(;r!==void 0&&r[n]===void 0;)r=s[i++];if(r===void 0)return;let a=r[n];if(a!==void 0)if(Array.isArray(a))do a=r[n],a!==void 0&&(e.push(r.time),t.push.apply(t,a)),r=s[i++];while(r!==void 0);else if(a.toArray!==void 0)do a=r[n],a!==void 0&&(e.push(r.time),a.toArray(t,t.length)),r=s[i++];while(r!==void 0);else do a=r[n],a!==void 0&&(e.push(r.time),t.push(a)),r=s[i++];while(r!==void 0)}function kv(s,e,t,n,i=30){let r=s.clone();r.name=e;let a=[];for(let l=0;l<r.tracks.length;++l){let c=r.tracks[l],h=c.getValueSize(),f=[],p=[];for(let m=0;m<c.times.length;++m){let g=c.times[m]*i;if(!(g<t||g>=n)){f.push(c.times[m]);for(let y=0;y<h;++y)p.push(c.values[m*h+y])}}f.length!==0&&(c.times=Ci(f,c.times.constructor),c.values=Ci(p,c.values.constructor),a.push(c))}r.tracks=a;let o=1/0;for(let l=0;l<r.tracks.length;++l)o>r.tracks[l].times[0]&&(o=r.tracks[l].times[0]);for(let l=0;l<r.tracks.length;++l)r.tracks[l].shift(-1*o);return r.resetDuration(),r}function Vv(s,e=0,t=s,n=30){n<=0&&(n=30);let i=t.tracks.length,r=e/n;for(let a=0;a<i;++a){let o=t.tracks[a],l=o.ValueTypeName;if(l==="bool"||l==="string")continue;let c=s.tracks.find(function(d){return d.name===o.name&&d.ValueTypeName===l});if(c===void 0)continue;let h=0,f=o.getValueSize();o.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline&&(h=f/3);let p=0,m=c.getValueSize();c.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline&&(p=m/3);let g=o.times.length-1,y;if(r<=o.times[0]){let d=h,_=f-h;y=o.values.slice(d,_)}else if(r>=o.times[g]){let d=g*f+h,_=d+f-h;y=o.values.slice(d,_)}else{let d=o.createInterpolant(),_=h,x=f-h;d.evaluate(r),y=d.resultBuffer.slice(_,x)}l==="quaternion"&&new St().fromArray(y).normalize().conjugate().toArray(y);let u=c.times.length;for(let d=0;d<u;++d){let _=d*m+p;if(l==="quaternion")St.multiplyQuaternionsFlat(c.values,_,y,0,c.values,_);else{let x=m-p*2;for(let v=0;v<x;++v)c.values[_+v]-=y[v]}}}return s.blendMode=lu,s}var Hv={convertArray:Ci,isTypedArray:Vp,getKeyframeOrder:Hp,sortedArray:hh,flattenJSON:pu,subclip:kv,makeClipAdditive:Vv},Bi=class{constructor(e,t,n,i){this.parameterPositions=e,this._cachedIndex=0,this.resultBuffer=i!==void 0?i:new t.constructor(n),this.sampleValues=t,this.valueSize=n,this.settings=null,this.DefaultSettings_={}}evaluate(e){let t=this.parameterPositions,n=this._cachedIndex,i=t[n],r=t[n-1];e:{t:{let a;n:{i:if(!(e<i)){for(let o=n+2;;){if(i===void 0){if(e<r)break i;return n=t.length,this._cachedIndex=n,this.copySampleValue_(n-1)}if(n===o)break;if(r=i,i=t[++n],e<i)break t}a=t.length;break n}if(!(e>=r)){let o=t[1];e<o&&(n=2,r=o);for(let l=n-2;;){if(r===void 0)return this._cachedIndex=0,this.copySampleValue_(0);if(n===l)break;if(i=r,r=t[--n-1],e>=r)break t}a=n,n=0;break n}break e}for(;n<a;){let o=n+a>>>1;e<t[o]?a=o:n=o+1}if(i=t[n],r=t[n-1],r===void 0)return this._cachedIndex=0,this.copySampleValue_(0);if(i===void 0)return n=t.length,this._cachedIndex=n,this.copySampleValue_(n-1)}this._cachedIndex=n,this.intervalChanged_(n,r,i)}return this.interpolate_(n,r,e,i)}getSettings_(){return this.settings||this.DefaultSettings_}copySampleValue_(e){let t=this.resultBuffer,n=this.sampleValues,i=this.valueSize,r=e*i;for(let a=0;a!==i;++a)t[a]=n[r+a];return t}interpolate_(){throw new Error("call to abstract method")}intervalChanged_(){}},Wo=class extends Bi{constructor(e,t,n,i){super(e,t,n,i),this._weightPrev=-0,this._offsetPrev=-0,this._weightNext=-0,this._offsetNext=-0,this.DefaultSettings_={endingStart:Ti,endingEnd:Ti}}intervalChanged_(e,t,n){let i=this.parameterPositions,r=e-2,a=e+1,o=i[r],l=i[a];if(o===void 0)switch(this.getSettings_().endingStart){case Ai:r=e,o=2*t-n;break;case or:r=i.length-2,o=t+i[r]-i[r+1];break;default:r=e,o=n}if(l===void 0)switch(this.getSettings_().endingEnd){case Ai:a=e,l=2*n-t;break;case or:a=1,l=n+i[1]-i[0];break;default:a=e-1,l=t}let c=(n-t)*.5,h=this.valueSize;this._weightPrev=c/(t-o),this._weightNext=c/(l-n),this._offsetPrev=r*h,this._offsetNext=a*h}interpolate_(e,t,n,i){let r=this.resultBuffer,a=this.sampleValues,o=this.valueSize,l=e*o,c=l-o,h=this._offsetPrev,f=this._offsetNext,p=this._weightPrev,m=this._weightNext,g=(n-t)/(i-t),y=g*g,u=y*g,d=-p*u+2*p*y-p*g,_=(1+p)*u+(-1.5-2*p)*y+(-.5+p)*g+1,x=(-1-m)*u+(1.5+m)*y+.5*g,v=m*u-m*y;for(let A=0;A!==o;++A)r[A]=d*a[h+A]+_*a[c+A]+x*a[l+A]+v*a[f+A];return r}},Br=class extends Bi{constructor(e,t,n,i){super(e,t,n,i)}interpolate_(e,t,n,i){let r=this.resultBuffer,a=this.sampleValues,o=this.valueSize,l=e*o,c=l-o,h=(n-t)/(i-t),f=1-h;for(let p=0;p!==o;++p)r[p]=a[c+p]*f+a[l+p]*h;return r}},Xo=class extends Bi{constructor(e,t,n,i){super(e,t,n,i)}interpolate_(e){return this.copySampleValue_(e-1)}},jt=class{constructor(e,t,n,i){if(e===void 0)throw new Error("THREE.KeyframeTrack: track name is undefined");if(t===void 0||t.length===0)throw new Error("THREE.KeyframeTrack: no keyframes in track named "+e);this.name=e,this.times=Ci(t,this.TimeBufferType),this.values=Ci(n,this.ValueBufferType),this.setInterpolation(i||this.DefaultInterpolation)}static toJSON(e){let t=e.constructor,n;if(t.toJSON!==this.toJSON)n=t.toJSON(e);else{n={name:e.name,times:Ci(e.times,Array),values:Ci(e.values,Array)};let i=e.getInterpolation();i!==e.DefaultInterpolation&&(n.interpolation=i)}return n.type=e.ValueTypeName,n}InterpolantFactoryMethodDiscrete(e){return new Xo(this.times,this.values,this.getValueSize(),e)}InterpolantFactoryMethodLinear(e){return new Br(this.times,this.values,this.getValueSize(),e)}InterpolantFactoryMethodSmooth(e){return new Wo(this.times,this.values,this.getValueSize(),e)}setInterpolation(e){let t;switch(e){case rr:t=this.InterpolantFactoryMethodDiscrete;break;case ar:t=this.InterpolantFactoryMethodLinear;break;case qa:t=this.InterpolantFactoryMethodSmooth;break}if(t===void 0){let n="unsupported interpolation for "+this.ValueTypeName+" keyframe track named "+this.name;if(this.createInterpolant===void 0)if(e!==this.DefaultInterpolation)this.setInterpolation(this.DefaultInterpolation);else throw new Error(n);return console.warn("THREE.KeyframeTrack:",n),this}return this.createInterpolant=t,this}getInterpolation(){switch(this.createInterpolant){case this.InterpolantFactoryMethodDiscrete:return rr;case this.InterpolantFactoryMethodLinear:return ar;case this.InterpolantFactoryMethodSmooth:return qa}}getValueSize(){return this.values.length/this.times.length}shift(e){if(e!==0){let t=this.times;for(let n=0,i=t.length;n!==i;++n)t[n]+=e}return this}scale(e){if(e!==1){let t=this.times;for(let n=0,i=t.length;n!==i;++n)t[n]*=e}return this}trim(e,t){let n=this.times,i=n.length,r=0,a=i-1;for(;r!==i&&n[r]<e;)++r;for(;a!==-1&&n[a]>t;)--a;if(++a,r!==0||a!==i){r>=a&&(a=Math.max(a,1),r=a-1);let o=this.getValueSize();this.times=n.slice(r,a),this.values=this.values.slice(r*o,a*o)}return this}validate(){let e=!0,t=this.getValueSize();t-Math.floor(t)!==0&&(console.error("THREE.KeyframeTrack: Invalid value size in track.",this),e=!1);let n=this.times,i=this.values,r=n.length;r===0&&(console.error("THREE.KeyframeTrack: Track is empty.",this),e=!1);let a=null;for(let o=0;o!==r;o++){let l=n[o];if(typeof l=="number"&&isNaN(l)){console.error("THREE.KeyframeTrack: Time is not a valid number.",this,o,l),e=!1;break}if(a!==null&&a>l){console.error("THREE.KeyframeTrack: Out of order keys.",this,o,l,a),e=!1;break}a=l}if(i!==void 0&&Vp(i))for(let o=0,l=i.length;o!==l;++o){let c=i[o];if(isNaN(c)){console.error("THREE.KeyframeTrack: Value is not a valid number.",this,o,c),e=!1;break}}return e}optimize(){let e=this.times.slice(),t=this.values.slice(),n=this.getValueSize(),i=this.getInterpolation()===qa,r=e.length-1,a=1;for(let o=1;o<r;++o){let l=!1,c=e[o],h=e[o+1];if(c!==h&&(o!==1||c!==e[0]))if(i)l=!0;else{let f=o*n,p=f-n,m=f+n;for(let g=0;g!==n;++g){let y=t[f+g];if(y!==t[p+g]||y!==t[m+g]){l=!0;break}}}if(l){if(o!==a){e[a]=e[o];let f=o*n,p=a*n;for(let m=0;m!==n;++m)t[p+m]=t[f+m]}++a}}if(r>0){e[a]=e[r];for(let o=r*n,l=a*n,c=0;c!==n;++c)t[l+c]=t[o+c];++a}return a!==e.length?(this.times=e.slice(0,a),this.values=t.slice(0,a*n)):(this.times=e,this.values=t),this}clone(){let e=this.times.slice(),t=this.values.slice(),n=this.constructor,i=new n(this.name,e,t);return i.createInterpolant=this.createInterpolant,i}};jt.prototype.TimeBufferType=Float32Array;jt.prototype.ValueBufferType=Float32Array;jt.prototype.DefaultInterpolation=ar;var Hn=class extends jt{};Hn.prototype.ValueTypeName="bool";Hn.prototype.ValueBufferType=Array;Hn.prototype.DefaultInterpolation=rr;Hn.prototype.InterpolantFactoryMethodLinear=void 0;Hn.prototype.InterpolantFactoryMethodSmooth=void 0;var zr=class extends jt{};zr.prototype.ValueTypeName="color";var zi=class extends jt{};zi.prototype.ValueTypeName="number";var Yo=class extends Bi{constructor(e,t,n,i){super(e,t,n,i)}interpolate_(e,t,n,i){let r=this.resultBuffer,a=this.sampleValues,o=this.valueSize,l=(n-t)/(i-t),c=e*o;for(let h=c+o;c!==h;c+=4)St.slerpFlat(r,0,a,c-o,a,c,l);return r}},ai=class extends jt{InterpolantFactoryMethodLinear(e){return new Yo(this.times,this.values,this.getValueSize(),e)}};ai.prototype.ValueTypeName="quaternion";ai.prototype.DefaultInterpolation=ar;ai.prototype.InterpolantFactoryMethodSmooth=void 0;var Gn=class extends jt{};Gn.prototype.ValueTypeName="string";Gn.prototype.ValueBufferType=Array;Gn.prototype.DefaultInterpolation=rr;Gn.prototype.InterpolantFactoryMethodLinear=void 0;Gn.prototype.InterpolantFactoryMethodSmooth=void 0;var ki=class extends jt{};ki.prototype.ValueTypeName="vector";var Vi=class{constructor(e,t=-1,n,i=ll){this.name=e,this.tracks=n,this.duration=t,this.blendMode=i,this.uuid=Jt(),this.duration<0&&this.resetDuration()}static parse(e){let t=[],n=e.tracks,i=1/(e.fps||1);for(let a=0,o=n.length;a!==o;++a)t.push(Wv(n[a]).scale(i));let r=new this(e.name,e.duration,t,e.blendMode);return r.uuid=e.uuid,r}static toJSON(e){let t=[],n=e.tracks,i={name:e.name,duration:e.duration,tracks:t,uuid:e.uuid,blendMode:e.blendMode};for(let r=0,a=n.length;r!==a;++r)t.push(jt.toJSON(n[r]));return i}static CreateFromMorphTargetSequence(e,t,n,i){let r=t.length,a=[];for(let o=0;o<r;o++){let l=[],c=[];l.push((o+r-1)%r,o,(o+1)%r),c.push(0,1,0);let h=Hp(l);l=hh(l,1,h),c=hh(c,1,h),!i&&l[0]===0&&(l.push(r),c.push(c[0])),a.push(new zi(".morphTargetInfluences["+t[o].name+"]",l,c).scale(1/n))}return new this(e,-1,a)}static findByName(e,t){let n=e;if(!Array.isArray(e)){let i=e;n=i.geometry&&i.geometry.animations||i.animations}for(let i=0;i<n.length;i++)if(n[i].name===t)return n[i];return null}static CreateClipsFromMorphTargetSequences(e,t,n){let i={},r=/^([\w-]*?)([\d]+)$/;for(let o=0,l=e.length;o<l;o++){let c=e[o],h=c.name.match(r);if(h&&h.length>1){let f=h[1],p=i[f];p||(i[f]=p=[]),p.push(c)}}let a=[];for(let o in i)a.push(this.CreateFromMorphTargetSequence(o,i[o],t,n));return a}static parseAnimation(e,t){if(!e)return console.error("THREE.AnimationClip: No animation in JSONLoader data."),null;let n=function(f,p,m,g,y){if(m.length!==0){let u=[],d=[];pu(m,u,d,g),u.length!==0&&y.push(new f(p,u,d))}},i=[],r=e.name||"default",a=e.fps||30,o=e.blendMode,l=e.length||-1,c=e.hierarchy||[];for(let f=0;f<c.length;f++){let p=c[f].keys;if(!(!p||p.length===0))if(p[0].morphTargets){let m={},g;for(g=0;g<p.length;g++)if(p[g].morphTargets)for(let y=0;y<p[g].morphTargets.length;y++)m[p[g].morphTargets[y]]=-1;for(let y in m){let u=[],d=[];for(let _=0;_!==p[g].morphTargets.length;++_){let x=p[g];u.push(x.time),d.push(x.morphTarget===y?1:0)}i.push(new zi(".morphTargetInfluence["+y+"]",u,d))}l=m.length*a}else{let m=".bones["+t[f].name+"]";n(ki,m+".position",p,"pos",i),n(ai,m+".quaternion",p,"rot",i),n(ki,m+".scale",p,"scl",i)}}return i.length===0?null:new this(r,l,i,o)}resetDuration(){let e=this.tracks,t=0;for(let n=0,i=e.length;n!==i;++n){let r=this.tracks[n];t=Math.max(t,r.times[r.times.length-1])}return this.duration=t,this}trim(){for(let e=0;e<this.tracks.length;e++)this.tracks[e].trim(0,this.duration);return this}validate(){let e=!0;for(let t=0;t<this.tracks.length;t++)e=e&&this.tracks[t].validate();return e}optimize(){for(let e=0;e<this.tracks.length;e++)this.tracks[e].optimize();return this}clone(){let e=[];for(let t=0;t<this.tracks.length;t++)e.push(this.tracks[t].clone());return new this.constructor(this.name,this.duration,e,this.blendMode)}toJSON(){return this.constructor.toJSON(this)}};function Gv(s){switch(s.toLowerCase()){case"scalar":case"double":case"float":case"number":case"integer":return zi;case"vector":case"vector2":case"vector3":case"vector4":return ki;case"color":return zr;case"quaternion":return ai;case"bool":case"boolean":return Hn;case"string":return Gn}throw new Error("THREE.KeyframeTrack: Unsupported typeName: "+s)}function Wv(s){if(s.type===void 0)throw new Error("THREE.KeyframeTrack: track type undefined, can not parse");let e=Gv(s.type);if(s.times===void 0){let t=[],n=[];pu(s.keys,t,n,"value"),s.times=t,s.values=n}return e.parse!==void 0?e.parse(s):new e(s.name,s.times,s.values,s.interpolation)}var Un={enabled:!1,files:{},add:function(s,e){this.enabled!==!1&&(this.files[s]=e)},get:function(s){if(this.enabled!==!1)return this.files[s]},remove:function(s){delete this.files[s]},clear:function(){this.files={}}},kr=class{constructor(e,t,n){let i=this,r=!1,a=0,o=0,l,c=[];this.onStart=void 0,this.onLoad=e,this.onProgress=t,this.onError=n,this.itemStart=function(h){o++,r===!1&&i.onStart!==void 0&&i.onStart(h,a,o),r=!0},this.itemEnd=function(h){a++,i.onProgress!==void 0&&i.onProgress(h,a,o),a===o&&(r=!1,i.onLoad!==void 0&&i.onLoad())},this.itemError=function(h){i.onError!==void 0&&i.onError(h)},this.resolveURL=function(h){return l?l(h):h},this.setURLModifier=function(h){return l=h,this},this.addHandler=function(h,f){return c.push(h,f),this},this.removeHandler=function(h){let f=c.indexOf(h);return f!==-1&&c.splice(f,2),this},this.getHandler=function(h){for(let f=0,p=c.length;f<p;f+=2){let m=c[f],g=c[f+1];if(m.global&&(m.lastIndex=0),m.test(h))return g}return null}}},Gp=new kr,Bt=class{constructor(e){this.manager=e!==void 0?e:Gp,this.crossOrigin="anonymous",this.withCredentials=!1,this.path="",this.resourcePath="",this.requestHeader={}}load(){}loadAsync(e,t){let n=this;return new Promise(function(i,r){n.load(e,i,t,r)})}parse(){}setCrossOrigin(e){return this.crossOrigin=e,this}setWithCredentials(e){return this.withCredentials=e,this}setPath(e){return this.path=e,this}setResourcePath(e){return this.resourcePath=e,this}setRequestHeader(e){return this.requestHeader=e,this}};Bt.DEFAULT_MATERIAL_NAME="__DEFAULT";var Pn={},uh=class extends Error{constructor(e,t){super(e),this.response=t}},dn=class extends Bt{constructor(e){super(e)}load(e,t,n,i){e===void 0&&(e=""),this.path!==void 0&&(e=this.path+e),e=this.manager.resolveURL(e);let r=Un.get(e);if(r!==void 0)return this.manager.itemStart(e),setTimeout(()=>{t&&t(r),this.manager.itemEnd(e)},0),r;if(Pn[e]!==void 0){Pn[e].push({onLoad:t,onProgress:n,onError:i});return}Pn[e]=[],Pn[e].push({onLoad:t,onProgress:n,onError:i});let a=new Request(e,{headers:new Headers(this.requestHeader),credentials:this.withCredentials?"include":"same-origin"}),o=this.mimeType,l=this.responseType;fetch(a).then(c=>{if(c.status===200||c.status===0){if(c.status===0&&console.warn("THREE.FileLoader: HTTP Status 0 received."),typeof ReadableStream>"u"||c.body===void 0||c.body.getReader===void 0)return c;let h=Pn[e],f=c.body.getReader(),p=c.headers.get("Content-Length")||c.headers.get("X-File-Size"),m=p?parseInt(p):0,g=m!==0,y=0,u=new ReadableStream({start(d){_();function _(){f.read().then(({done:x,value:v})=>{if(x)d.close();else{y+=v.byteLength;let A=new ProgressEvent("progress",{lengthComputable:g,loaded:y,total:m});for(let w=0,b=h.length;w<b;w++){let T=h[w];T.onProgress&&T.onProgress(A)}d.enqueue(v),_()}})}}});return new Response(u)}else throw new uh(`fetch for "${c.url}" responded with ${c.status}: ${c.statusText}`,c)}).then(c=>{switch(l){case"arraybuffer":return c.arrayBuffer();case"blob":return c.blob();case"document":return c.text().then(h=>new DOMParser().parseFromString(h,o));case"json":return c.json();default:if(o===void 0)return c.text();{let f=/charset="?([^;"\s]*)"?/i.exec(o),p=f&&f[1]?f[1].toLowerCase():void 0,m=new TextDecoder(p);return c.arrayBuffer().then(g=>m.decode(g))}}}).then(c=>{Un.add(e,c);let h=Pn[e];delete Pn[e];for(let f=0,p=h.length;f<p;f++){let m=h[f];m.onLoad&&m.onLoad(c)}}).catch(c=>{let h=Pn[e];if(h===void 0)throw this.manager.itemError(e),c;delete Pn[e];for(let f=0,p=h.length;f<p;f++){let m=h[f];m.onError&&m.onError(c)}this.manager.itemError(e)}).finally(()=>{this.manager.itemEnd(e)}),this.manager.itemStart(e)}setResponseType(e){return this.responseType=e,this}setMimeType(e){return this.mimeType=e,this}},dh=class extends Bt{constructor(e){super(e)}load(e,t,n,i){let r=this,a=new dn(this.manager);a.setPath(this.path),a.setRequestHeader(this.requestHeader),a.setWithCredentials(this.withCredentials),a.load(e,function(o){try{t(r.parse(JSON.parse(o)))}catch(l){i?i(l):console.error(l),r.manager.itemError(e)}},n,i)}parse(e){let t=[];for(let n=0;n<e.length;n++){let i=Vi.parse(e[n]);t.push(i)}return t}},fh=class extends Bt{constructor(e){super(e)}load(e,t,n,i){let r=this,a=[],o=new Cs,l=new dn(this.manager);l.setPath(this.path),l.setResponseType("arraybuffer"),l.setRequestHeader(this.requestHeader),l.setWithCredentials(r.withCredentials);let c=0;function h(f){l.load(e[f],function(p){let m=r.parse(p,!0);a[f]={width:m.width,height:m.height,format:m.format,mipmaps:m.mipmaps},c+=1,c===6&&(m.mipmapCount===1&&(o.minFilter=yt),o.image=a,o.format=m.format,o.needsUpdate=!0,t&&t(o))},n,i)}if(Array.isArray(e))for(let f=0,p=e.length;f<p;++f)h(f);else l.load(e,function(f){let p=r.parse(f,!0);if(p.isCubemap){let m=p.mipmaps.length/p.mipmapCount;for(let g=0;g<m;g++){a[g]={mipmaps:[]};for(let y=0;y<p.mipmapCount;y++)a[g].mipmaps.push(p.mipmaps[g*p.mipmapCount+y]),a[g].format=p.format,a[g].width=p.width,a[g].height=p.height}o.image=a}else o.image.width=p.width,o.image.height=p.height,o.mipmaps=p.mipmaps;p.mipmapCount===1&&(o.minFilter=yt),o.format=p.format,o.needsUpdate=!0,t&&t(o)},n,i);return o}},Hi=class extends Bt{constructor(e){super(e)}load(e,t,n,i){this.path!==void 0&&(e=this.path+e),e=this.manager.resolveURL(e);let r=this,a=Un.get(e);if(a!==void 0)return r.manager.itemStart(e),setTimeout(function(){t&&t(a),r.manager.itemEnd(e)},0),a;let o=dr("img");function l(){h(),Un.add(e,this),t&&t(this),r.manager.itemEnd(e)}function c(f){h(),i&&i(f),r.manager.itemError(e),r.manager.itemEnd(e)}function h(){o.removeEventListener("load",l,!1),o.removeEventListener("error",c,!1)}return o.addEventListener("load",l,!1),o.addEventListener("error",c,!1),e.slice(0,5)!=="data:"&&this.crossOrigin!==void 0&&(o.crossOrigin=this.crossOrigin),r.manager.itemStart(e),o.src=e,o}},ph=class extends Bt{constructor(e){super(e)}load(e,t,n,i){let r=new Di;r.colorSpace=gt;let a=new Hi(this.manager);a.setCrossOrigin(this.crossOrigin),a.setPath(this.path);let o=0;function l(c){a.load(e[c],function(h){r.images[c]=h,o++,o===6&&(r.needsUpdate=!0,t&&t(r))},void 0,i)}for(let c=0;c<e.length;++c)l(c);return r}},mh=class extends Bt{constructor(e){super(e)}load(e,t,n,i){let r=this,a=new Bn,o=new dn(this.manager);return o.setResponseType("arraybuffer"),o.setRequestHeader(this.requestHeader),o.setPath(this.path),o.setWithCredentials(r.withCredentials),o.load(e,function(l){let c;try{c=r.parse(l)}catch(h){if(i!==void 0)i(h);else{console.error(h);return}}c.image!==void 0?a.image=c.image:c.data!==void 0&&(a.image.width=c.width,a.image.height=c.height,a.image.data=c.data),a.wrapS=c.wrapS!==void 0?c.wrapS:Ot,a.wrapT=c.wrapT!==void 0?c.wrapT:Ot,a.magFilter=c.magFilter!==void 0?c.magFilter:yt,a.minFilter=c.minFilter!==void 0?c.minFilter:yt,a.anisotropy=c.anisotropy!==void 0?c.anisotropy:1,c.colorSpace!==void 0?a.colorSpace=c.colorSpace:c.encoding!==void 0&&(a.encoding=c.encoding),c.flipY!==void 0&&(a.flipY=c.flipY),c.format!==void 0&&(a.format=c.format),c.type!==void 0&&(a.type=c.type),c.mipmaps!==void 0&&(a.mipmaps=c.mipmaps,a.minFilter=ii),c.mipmapCount===1&&(a.minFilter=yt),c.generateMipmaps!==void 0&&(a.generateMipmaps=c.generateMipmaps),a.needsUpdate=!0,t&&t(a,c)},n,i),a}},gh=class extends Bt{constructor(e){super(e)}load(e,t,n,i){let r=new wt,a=new Hi(this.manager);return a.setCrossOrigin(this.crossOrigin),a.setPath(this.path),a.load(e,function(o){r.image=o,r.needsUpdate=!0,t!==void 0&&t(r)},n,i),r}},Mn=class extends tt{constructor(e,t=1){super(),this.isLight=!0,this.type="Light",this.color=new Se(e),this.intensity=t}dispose(){}copy(e,t){return super.copy(e,t),this.color.copy(e.color),this.intensity=e.intensity,this}toJSON(e){let t=super.toJSON(e);return t.object.color=this.color.getHex(),t.object.intensity=this.intensity,this.groundColor!==void 0&&(t.object.groundColor=this.groundColor.getHex()),this.distance!==void 0&&(t.object.distance=this.distance),this.angle!==void 0&&(t.object.angle=this.angle),this.decay!==void 0&&(t.object.decay=this.decay),this.penumbra!==void 0&&(t.object.penumbra=this.penumbra),this.shadow!==void 0&&(t.object.shadow=this.shadow.toJSON()),t}},qo=class extends Mn{constructor(e,t,n){super(e,n),this.isHemisphereLight=!0,this.type="HemisphereLight",this.position.copy(tt.DEFAULT_UP),this.updateMatrix(),this.groundColor=new Se(t)}copy(e,t){return super.copy(e,t),this.groundColor.copy(e.groundColor),this}},Ql=new Be,sf=new U,rf=new U,Vr=class{constructor(e){this.camera=e,this.bias=0,this.normalBias=0,this.radius=1,this.blurSamples=8,this.mapSize=new ne(512,512),this.map=null,this.mapPass=null,this.matrix=new Be,this.autoUpdate=!0,this.needsUpdate=!1,this._frustum=new Ni,this._frameExtents=new ne(1,1),this._viewportCount=1,this._viewports=[new st(0,0,1,1)]}getViewportCount(){return this._viewportCount}getFrustum(){return this._frustum}updateMatrices(e){let t=this.camera,n=this.matrix;sf.setFromMatrixPosition(e.matrixWorld),t.position.copy(sf),rf.setFromMatrixPosition(e.target.matrixWorld),t.lookAt(rf),t.updateMatrixWorld(),Ql.multiplyMatrices(t.projectionMatrix,t.matrixWorldInverse),this._frustum.setFromProjectionMatrix(Ql),n.set(.5,0,0,.5,0,.5,0,.5,0,0,.5,.5,0,0,0,1),n.multiply(Ql)}getViewport(e){return this._viewports[e]}getFrameExtents(){return this._frameExtents}dispose(){this.map&&this.map.dispose(),this.mapPass&&this.mapPass.dispose()}copy(e){return this.camera=e.camera.clone(),this.bias=e.bias,this.radius=e.radius,this.mapSize.copy(e.mapSize),this}clone(){return new this.constructor().copy(this)}toJSON(){let e={};return this.bias!==0&&(e.bias=this.bias),this.normalBias!==0&&(e.normalBias=this.normalBias),this.radius!==1&&(e.radius=this.radius),(this.mapSize.x!==512||this.mapSize.y!==512)&&(e.mapSize=this.mapSize.toArray()),e.camera=this.camera.toJSON(!1).object,delete e.camera.matrix,e}},yh=class extends Vr{constructor(){super(new _t(50,1,.5,500)),this.isSpotLightShadow=!0,this.focus=1}updateMatrices(e){let t=this.camera,n=xs*2*e.angle*this.focus,i=this.mapSize.width/this.mapSize.height,r=e.distance||t.far;(n!==t.fov||i!==t.aspect||r!==t.far)&&(t.fov=n,t.aspect=i,t.far=r,t.updateProjectionMatrix()),super.updateMatrices(e)}copy(e){return super.copy(e),this.focus=e.focus,this}},Zo=class extends Mn{constructor(e,t,n=0,i=Math.PI/3,r=0,a=2){super(e,t),this.isSpotLight=!0,this.type="SpotLight",this.position.copy(tt.DEFAULT_UP),this.updateMatrix(),this.target=new tt,this.distance=n,this.angle=i,this.penumbra=r,this.decay=a,this.map=null,this.shadow=new yh}get power(){return this.intensity*Math.PI}set power(e){this.intensity=e/Math.PI}dispose(){this.shadow.dispose()}copy(e,t){return super.copy(e,t),this.distance=e.distance,this.angle=e.angle,this.penumbra=e.penumbra,this.decay=e.decay,this.target=e.target.clone(),this.shadow=e.shadow.clone(),this}},af=new Be,Ys=new U,ec=new U,_h=class extends Vr{constructor(){super(new _t(90,1,.5,500)),this.isPointLightShadow=!0,this._frameExtents=new ne(4,2),this._viewportCount=6,this._viewports=[new st(2,1,1,1),new st(0,1,1,1),new st(3,1,1,1),new st(1,1,1,1),new st(3,0,1,1),new st(1,0,1,1)],this._cubeDirections=[new U(1,0,0),new U(-1,0,0),new U(0,0,1),new U(0,0,-1),new U(0,1,0),new U(0,-1,0)],this._cubeUps=[new U(0,1,0),new U(0,1,0),new U(0,1,0),new U(0,1,0),new U(0,0,1),new U(0,0,-1)]}updateMatrices(e,t=0){let n=this.camera,i=this.matrix,r=e.distance||n.far;r!==n.far&&(n.far=r,n.updateProjectionMatrix()),Ys.setFromMatrixPosition(e.matrixWorld),n.position.copy(Ys),ec.copy(n.position),ec.add(this._cubeDirections[t]),n.up.copy(this._cubeUps[t]),n.lookAt(ec),n.updateMatrixWorld(),i.makeTranslation(-Ys.x,-Ys.y,-Ys.z),af.multiplyMatrices(n.projectionMatrix,n.matrixWorldInverse),this._frustum.setFromProjectionMatrix(af)}},Jo=class extends Mn{constructor(e,t,n=0,i=2){super(e,t),this.isPointLight=!0,this.type="PointLight",this.distance=n,this.decay=i,this.shadow=new _h}get power(){return this.intensity*4*Math.PI}set power(e){this.intensity=e/(4*Math.PI)}dispose(){this.shadow.dispose()}copy(e,t){return super.copy(e,t),this.distance=e.distance,this.decay=e.decay,this.shadow=e.shadow.clone(),this}},xh=class extends Vr{constructor(){super(new Es(-5,5,5,-5,.5,500)),this.isDirectionalLightShadow=!0}},Gi=class extends Mn{constructor(e,t){super(e,t),this.isDirectionalLight=!0,this.type="DirectionalLight",this.position.copy(tt.DEFAULT_UP),this.updateMatrix(),this.target=new tt,this.shadow=new xh}dispose(){this.shadow.dispose()}copy(e){return super.copy(e),this.target=e.target.clone(),this.shadow=e.shadow.clone(),this}},Ls=class extends Mn{constructor(e,t){super(e,t),this.isAmbientLight=!0,this.type="AmbientLight"}},Ko=class extends Mn{constructor(e,t,n=10,i=10){super(e,t),this.isRectAreaLight=!0,this.type="RectAreaLight",this.width=n,this.height=i}get power(){return this.intensity*this.width*this.height*Math.PI}set power(e){this.intensity=e/(this.width*this.height*Math.PI)}copy(e){return super.copy(e),this.width=e.width,this.height=e.height,this}toJSON(e){let t=super.toJSON(e);return t.object.width=this.width,t.object.height=this.height,t}},$o=class{constructor(){this.isSphericalHarmonics3=!0,this.coefficients=[];for(let e=0;e<9;e++)this.coefficients.push(new U)}set(e){for(let t=0;t<9;t++)this.coefficients[t].copy(e[t]);return this}zero(){for(let e=0;e<9;e++)this.coefficients[e].set(0,0,0);return this}getAt(e,t){let n=e.x,i=e.y,r=e.z,a=this.coefficients;return t.copy(a[0]).multiplyScalar(.282095),t.addScaledVector(a[1],.488603*i),t.addScaledVector(a[2],.488603*r),t.addScaledVector(a[3],.488603*n),t.addScaledVector(a[4],1.092548*(n*i)),t.addScaledVector(a[5],1.092548*(i*r)),t.addScaledVector(a[6],.315392*(3*r*r-1)),t.addScaledVector(a[7],1.092548*(n*r)),t.addScaledVector(a[8],.546274*(n*n-i*i)),t}getIrradianceAt(e,t){let n=e.x,i=e.y,r=e.z,a=this.coefficients;return t.copy(a[0]).multiplyScalar(.886227),t.addScaledVector(a[1],2*.511664*i),t.addScaledVector(a[2],2*.511664*r),t.addScaledVector(a[3],2*.511664*n),t.addScaledVector(a[4],2*.429043*n*i),t.addScaledVector(a[5],2*.429043*i*r),t.addScaledVector(a[6],.743125*r*r-.247708),t.addScaledVector(a[7],2*.429043*n*r),t.addScaledVector(a[8],.429043*(n*n-i*i)),t}add(e){for(let t=0;t<9;t++)this.coefficients[t].add(e.coefficients[t]);return this}addScaledSH(e,t){for(let n=0;n<9;n++)this.coefficients[n].addScaledVector(e.coefficients[n],t);return this}scale(e){for(let t=0;t<9;t++)this.coefficients[t].multiplyScalar(e);return this}lerp(e,t){for(let n=0;n<9;n++)this.coefficients[n].lerp(e.coefficients[n],t);return this}equals(e){for(let t=0;t<9;t++)if(!this.coefficients[t].equals(e.coefficients[t]))return!1;return!0}copy(e){return this.set(e.coefficients)}clone(){return new this.constructor().copy(this)}fromArray(e,t=0){let n=this.coefficients;for(let i=0;i<9;i++)n[i].fromArray(e,t+i*3);return this}toArray(e=[],t=0){let n=this.coefficients;for(let i=0;i<9;i++)n[i].toArray(e,t+i*3);return e}static getBasisAt(e,t){let n=e.x,i=e.y,r=e.z;t[0]=.282095,t[1]=.488603*i,t[2]=.488603*r,t[3]=.488603*n,t[4]=1.092548*n*i,t[5]=1.092548*i*r,t[6]=.315392*(3*r*r-1),t[7]=1.092548*n*r,t[8]=.546274*(n*n-i*i)}},jo=class extends Mn{constructor(e=new $o,t=1){super(void 0,t),this.isLightProbe=!0,this.sh=e}copy(e){return super.copy(e),this.sh.copy(e.sh),this}fromJSON(e){return this.intensity=e.intensity,this.sh.fromArray(e.sh),this}toJSON(e){let t=super.toJSON(e);return t.object.sh=this.sh.toArray(),t}},Qo=class s extends Bt{constructor(e){super(e),this.textures={}}load(e,t,n,i){let r=this,a=new dn(r.manager);a.setPath(r.path),a.setRequestHeader(r.requestHeader),a.setWithCredentials(r.withCredentials),a.load(e,function(o){try{t(r.parse(JSON.parse(o)))}catch(l){i?i(l):console.error(l),r.manager.itemError(e)}},n,i)}parse(e){let t=this.textures;function n(r){return t[r]===void 0&&console.warn("THREE.MaterialLoader: Undefined texture",r),t[r]}let i=s.createMaterialFromType(e.type);if(e.uuid!==void 0&&(i.uuid=e.uuid),e.name!==void 0&&(i.name=e.name),e.color!==void 0&&i.color!==void 0&&i.color.setHex(e.color),e.roughness!==void 0&&(i.roughness=e.roughness),e.metalness!==void 0&&(i.metalness=e.metalness),e.sheen!==void 0&&(i.sheen=e.sheen),e.sheenColor!==void 0&&(i.sheenColor=new Se().setHex(e.sheenColor)),e.sheenRoughness!==void 0&&(i.sheenRoughness=e.sheenRoughness),e.emissive!==void 0&&i.emissive!==void 0&&i.emissive.setHex(e.emissive),e.specular!==void 0&&i.specular!==void 0&&i.specular.setHex(e.specular),e.specularIntensity!==void 0&&(i.specularIntensity=e.specularIntensity),e.specularColor!==void 0&&i.specularColor!==void 0&&i.specularColor.setHex(e.specularColor),e.shininess!==void 0&&(i.shininess=e.shininess),e.clearcoat!==void 0&&(i.clearcoat=e.clearcoat),e.clearcoatRoughness!==void 0&&(i.clearcoatRoughness=e.clearcoatRoughness),e.iridescence!==void 0&&(i.iridescence=e.iridescence),e.iridescenceIOR!==void 0&&(i.iridescenceIOR=e.iridescenceIOR),e.iridescenceThicknessRange!==void 0&&(i.iridescenceThicknessRange=e.iridescenceThicknessRange),e.transmission!==void 0&&(i.transmission=e.transmission),e.thickness!==void 0&&(i.thickness=e.thickness),e.attenuationDistance!==void 0&&(i.attenuationDistance=e.attenuationDistance),e.attenuationColor!==void 0&&i.attenuationColor!==void 0&&i.attenuationColor.setHex(e.attenuationColor),e.anisotropy!==void 0&&(i.anisotropy=e.anisotropy),e.anisotropyRotation!==void 0&&(i.anisotropyRotation=e.anisotropyRotation),e.fog!==void 0&&(i.fog=e.fog),e.flatShading!==void 0&&(i.flatShading=e.flatShading),e.blending!==void 0&&(i.blending=e.blending),e.combine!==void 0&&(i.combine=e.combine),e.side!==void 0&&(i.side=e.side),e.shadowSide!==void 0&&(i.shadowSide=e.shadowSide),e.opacity!==void 0&&(i.opacity=e.opacity),e.transparent!==void 0&&(i.transparent=e.transparent),e.alphaTest!==void 0&&(i.alphaTest=e.alphaTest),e.alphaHash!==void 0&&(i.alphaHash=e.alphaHash),e.depthFunc!==void 0&&(i.depthFunc=e.depthFunc),e.depthTest!==void 0&&(i.depthTest=e.depthTest),e.depthWrite!==void 0&&(i.depthWrite=e.depthWrite),e.colorWrite!==void 0&&(i.colorWrite=e.colorWrite),e.blendSrc!==void 0&&(i.blendSrc=e.blendSrc),e.blendDst!==void 0&&(i.blendDst=e.blendDst),e.blendEquation!==void 0&&(i.blendEquation=e.blendEquation),e.blendSrcAlpha!==void 0&&(i.blendSrcAlpha=e.blendSrcAlpha),e.blendDstAlpha!==void 0&&(i.blendDstAlpha=e.blendDstAlpha),e.blendEquationAlpha!==void 0&&(i.blendEquationAlpha=e.blendEquationAlpha),e.blendColor!==void 0&&i.blendColor!==void 0&&i.blendColor.setHex(e.blendColor),e.blendAlpha!==void 0&&(i.blendAlpha=e.blendAlpha),e.stencilWriteMask!==void 0&&(i.stencilWriteMask=e.stencilWriteMask),e.stencilFunc!==void 0&&(i.stencilFunc=e.stencilFunc),e.stencilRef!==void 0&&(i.stencilRef=e.stencilRef),e.stencilFuncMask!==void 0&&(i.stencilFuncMask=e.stencilFuncMask),e.stencilFail!==void 0&&(i.stencilFail=e.stencilFail),e.stencilZFail!==void 0&&(i.stencilZFail=e.stencilZFail),e.stencilZPass!==void 0&&(i.stencilZPass=e.stencilZPass),e.stencilWrite!==void 0&&(i.stencilWrite=e.stencilWrite),e.wireframe!==void 0&&(i.wireframe=e.wireframe),e.wireframeLinewidth!==void 0&&(i.wireframeLinewidth=e.wireframeLinewidth),e.wireframeLinecap!==void 0&&(i.wireframeLinecap=e.wireframeLinecap),e.wireframeLinejoin!==void 0&&(i.wireframeLinejoin=e.wireframeLinejoin),e.rotation!==void 0&&(i.rotation=e.rotation),e.linewidth!==void 0&&(i.linewidth=e.linewidth),e.dashSize!==void 0&&(i.dashSize=e.dashSize),e.gapSize!==void 0&&(i.gapSize=e.gapSize),e.scale!==void 0&&(i.scale=e.scale),e.polygonOffset!==void 0&&(i.polygonOffset=e.polygonOffset),e.polygonOffsetFactor!==void 0&&(i.polygonOffsetFactor=e.polygonOffsetFactor),e.polygonOffsetUnits!==void 0&&(i.polygonOffsetUnits=e.polygonOffsetUnits),e.dithering!==void 0&&(i.dithering=e.dithering),e.alphaToCoverage!==void 0&&(i.alphaToCoverage=e.alphaToCoverage),e.premultipliedAlpha!==void 0&&(i.premultipliedAlpha=e.premultipliedAlpha),e.forceSinglePass!==void 0&&(i.forceSinglePass=e.forceSinglePass),e.visible!==void 0&&(i.visible=e.visible),e.toneMapped!==void 0&&(i.toneMapped=e.toneMapped),e.userData!==void 0&&(i.userData=e.userData),e.vertexColors!==void 0&&(typeof e.vertexColors=="number"?i.vertexColors=e.vertexColors>0:i.vertexColors=e.vertexColors),e.uniforms!==void 0)for(let r in e.uniforms){let a=e.uniforms[r];switch(i.uniforms[r]={},a.type){case"t":i.uniforms[r].value=n(a.value);break;case"c":i.uniforms[r].value=new Se().setHex(a.value);break;case"v2":i.uniforms[r].value=new ne().fromArray(a.value);break;case"v3":i.uniforms[r].value=new U().fromArray(a.value);break;case"v4":i.uniforms[r].value=new st().fromArray(a.value);break;case"m3":i.uniforms[r].value=new Xe().fromArray(a.value);break;case"m4":i.uniforms[r].value=new Be().fromArray(a.value);break;default:i.uniforms[r].value=a.value}}if(e.defines!==void 0&&(i.defines=e.defines),e.vertexShader!==void 0&&(i.vertexShader=e.vertexShader),e.fragmentShader!==void 0&&(i.fragmentShader=e.fragmentShader),e.glslVersion!==void 0&&(i.glslVersion=e.glslVersion),e.extensions!==void 0)for(let r in e.extensions)i.extensions[r]=e.extensions[r];if(e.lights!==void 0&&(i.lights=e.lights),e.clipping!==void 0&&(i.clipping=e.clipping),e.size!==void 0&&(i.size=e.size),e.sizeAttenuation!==void 0&&(i.sizeAttenuation=e.sizeAttenuation),e.map!==void 0&&(i.map=n(e.map)),e.matcap!==void 0&&(i.matcap=n(e.matcap)),e.alphaMap!==void 0&&(i.alphaMap=n(e.alphaMap)),e.bumpMap!==void 0&&(i.bumpMap=n(e.bumpMap)),e.bumpScale!==void 0&&(i.bumpScale=e.bumpScale),e.normalMap!==void 0&&(i.normalMap=n(e.normalMap)),e.normalMapType!==void 0&&(i.normalMapType=e.normalMapType),e.normalScale!==void 0){let r=e.normalScale;Array.isArray(r)===!1&&(r=[r,r]),i.normalScale=new ne().fromArray(r)}return e.displacementMap!==void 0&&(i.displacementMap=n(e.displacementMap)),e.displacementScale!==void 0&&(i.displacementScale=e.displacementScale),e.displacementBias!==void 0&&(i.displacementBias=e.displacementBias),e.roughnessMap!==void 0&&(i.roughnessMap=n(e.roughnessMap)),e.metalnessMap!==void 0&&(i.metalnessMap=n(e.metalnessMap)),e.emissiveMap!==void 0&&(i.emissiveMap=n(e.emissiveMap)),e.emissiveIntensity!==void 0&&(i.emissiveIntensity=e.emissiveIntensity),e.specularMap!==void 0&&(i.specularMap=n(e.specularMap)),e.specularIntensityMap!==void 0&&(i.specularIntensityMap=n(e.specularIntensityMap)),e.specularColorMap!==void 0&&(i.specularColorMap=n(e.specularColorMap)),e.envMap!==void 0&&(i.envMap=n(e.envMap)),e.envMapIntensity!==void 0&&(i.envMapIntensity=e.envMapIntensity),e.reflectivity!==void 0&&(i.reflectivity=e.reflectivity),e.refractionRatio!==void 0&&(i.refractionRatio=e.refractionRatio),e.lightMap!==void 0&&(i.lightMap=n(e.lightMap)),e.lightMapIntensity!==void 0&&(i.lightMapIntensity=e.lightMapIntensity),e.aoMap!==void 0&&(i.aoMap=n(e.aoMap)),e.aoMapIntensity!==void 0&&(i.aoMapIntensity=e.aoMapIntensity),e.gradientMap!==void 0&&(i.gradientMap=n(e.gradientMap)),e.clearcoatMap!==void 0&&(i.clearcoatMap=n(e.clearcoatMap)),e.clearcoatRoughnessMap!==void 0&&(i.clearcoatRoughnessMap=n(e.clearcoatRoughnessMap)),e.clearcoatNormalMap!==void 0&&(i.clearcoatNormalMap=n(e.clearcoatNormalMap)),e.clearcoatNormalScale!==void 0&&(i.clearcoatNormalScale=new ne().fromArray(e.clearcoatNormalScale)),e.iridescenceMap!==void 0&&(i.iridescenceMap=n(e.iridescenceMap)),e.iridescenceThicknessMap!==void 0&&(i.iridescenceThicknessMap=n(e.iridescenceThicknessMap)),e.transmissionMap!==void 0&&(i.transmissionMap=n(e.transmissionMap)),e.thicknessMap!==void 0&&(i.thicknessMap=n(e.thicknessMap)),e.anisotropyMap!==void 0&&(i.anisotropyMap=n(e.anisotropyMap)),e.sheenColorMap!==void 0&&(i.sheenColorMap=n(e.sheenColorMap)),e.sheenRoughnessMap!==void 0&&(i.sheenRoughnessMap=n(e.sheenRoughnessMap)),i}setTextures(e){return this.textures=e,this}static createMaterialFromType(e){let t={ShadowMaterial:Uo,SpriteMaterial:Sr,RawShaderMaterial:Oo,ShaderMaterial:nn,PointsMaterial:wr,MeshPhysicalMaterial:Fo,MeshStandardMaterial:Fr,MeshPhongMaterial:Bo,MeshToonMaterial:zo,MeshNormalMaterial:ko,MeshLambertMaterial:Vo,MeshDepthMaterial:Mr,MeshDistanceMaterial:br,MeshBasicMaterial:xn,MeshMatcapMaterial:Ho,LineDashedMaterial:Go,LineBasicMaterial:Lt,Material:Pt};return new t[e]}},Hr=class{static decodeText(e){if(typeof TextDecoder<"u")return new TextDecoder().decode(e);let t="";for(let n=0,i=e.length;n<i;n++)t+=String.fromCharCode(e[n]);try{return decodeURIComponent(escape(t))}catch{return t}}static extractUrlBase(e){let t=e.lastIndexOf("/");return t===-1?"./":e.slice(0,t+1)}static resolveURL(e,t){return typeof e!="string"||e===""?"":(/^https?:\/\//i.test(t)&&/^\//.test(e)&&(t=t.replace(/(^https?:\/\/[^\/]+).*/i,"$1")),/^(https?:)?\/\//i.test(e)||/^data:.*,.*$/i.test(e)||/^blob:.*$/i.test(e)?e:t+e)}},el=class extends Ye{constructor(){super(),this.isInstancedBufferGeometry=!0,this.type="InstancedBufferGeometry",this.instanceCount=1/0}copy(e){return super.copy(e),this.instanceCount=e.instanceCount,this}toJSON(){let e=super.toJSON();return e.instanceCount=this.instanceCount,e.isInstancedBufferGeometry=!0,e}},tl=class extends Bt{constructor(e){super(e)}load(e,t,n,i){let r=this,a=new dn(r.manager);a.setPath(r.path),a.setRequestHeader(r.requestHeader),a.setWithCredentials(r.withCredentials),a.load(e,function(o){try{t(r.parse(JSON.parse(o)))}catch(l){i?i(l):console.error(l),r.manager.itemError(e)}},n,i)}parse(e){let t={},n={};function i(m,g){if(t[g]!==void 0)return t[g];let u=m.interleavedBuffers[g],d=r(m,u.buffer),_=us(u.type,d),x=new As(_,u.stride);return x.uuid=u.uuid,t[g]=x,x}function r(m,g){if(n[g]!==void 0)return n[g];let u=m.arrayBuffers[g],d=new Uint32Array(u).buffer;return n[g]=d,d}let a=e.isInstancedBufferGeometry?new el:new Ye,o=e.data.index;if(o!==void 0){let m=us(o.type,o.array);a.setIndex(new et(m,1))}let l=e.data.attributes;for(let m in l){let g=l[m],y;if(g.isInterleavedBufferAttribute){let u=i(e.data,g.data);y=new Ui(u,g.itemSize,g.offset,g.normalized)}else{let u=us(g.type,g.array),d=g.isInstancedBufferAttribute?si:et;y=new d(u,g.itemSize,g.normalized)}g.name!==void 0&&(y.name=g.name),g.usage!==void 0&&y.setUsage(g.usage),a.setAttribute(m,y)}let c=e.data.morphAttributes;if(c)for(let m in c){let g=c[m],y=[];for(let u=0,d=g.length;u<d;u++){let _=g[u],x;if(_.isInterleavedBufferAttribute){let v=i(e.data,_.data);x=new Ui(v,_.itemSize,_.offset,_.normalized)}else{let v=us(_.type,_.array);x=new et(v,_.itemSize,_.normalized)}_.name!==void 0&&(x.name=_.name),y.push(x)}a.morphAttributes[m]=y}e.data.morphTargetsRelative&&(a.morphTargetsRelative=!0);let f=e.data.groups||e.data.drawcalls||e.data.offsets;if(f!==void 0)for(let m=0,g=f.length;m!==g;++m){let y=f[m];a.addGroup(y.start,y.count,y.materialIndex)}let p=e.data.boundingSphere;if(p!==void 0){let m=new U;p.center!==void 0&&m.fromArray(p.center),a.boundingSphere=new vt(m,p.radius)}return e.name&&(a.name=e.name),e.userData&&(a.userData=e.userData),a}},vh=class extends Bt{constructor(e){super(e)}load(e,t,n,i){let r=this,a=this.path===""?Hr.extractUrlBase(e):this.path;this.resourcePath=this.resourcePath||a;let o=new dn(this.manager);o.setPath(this.path),o.setRequestHeader(this.requestHeader),o.setWithCredentials(this.withCredentials),o.load(e,function(l){let c=null;try{c=JSON.parse(l)}catch(f){i!==void 0&&i(f),console.error("THREE:ObjectLoader: Can't parse "+e+".",f.message);return}let h=c.metadata;if(h===void 0||h.type===void 0||h.type.toLowerCase()==="geometry"){i!==void 0&&i(new Error("THREE.ObjectLoader: Can't load "+e)),console.error("THREE.ObjectLoader: Can't load "+e);return}r.parse(c,t)},n,i)}async loadAsync(e,t){let n=this,i=this.path===""?Hr.extractUrlBase(e):this.path;this.resourcePath=this.resourcePath||i;let r=new dn(this.manager);r.setPath(this.path),r.setRequestHeader(this.requestHeader),r.setWithCredentials(this.withCredentials);let a=await r.loadAsync(e,t),o=JSON.parse(a),l=o.metadata;if(l===void 0||l.type===void 0||l.type.toLowerCase()==="geometry")throw new Error("THREE.ObjectLoader: Can't load "+e);return await n.parseAsync(o)}parse(e,t){let n=this.parseAnimations(e.animations),i=this.parseShapes(e.shapes),r=this.parseGeometries(e.geometries,i),a=this.parseImages(e.images,function(){t!==void 0&&t(c)}),o=this.parseTextures(e.textures,a),l=this.parseMaterials(e.materials,o),c=this.parseObject(e.object,r,l,o,n),h=this.parseSkeletons(e.skeletons,c);if(this.bindSkeletons(c,h),t!==void 0){let f=!1;for(let p in a)if(a[p].data instanceof HTMLImageElement){f=!0;break}f===!1&&t(c)}return c}async parseAsync(e){let t=this.parseAnimations(e.animations),n=this.parseShapes(e.shapes),i=this.parseGeometries(e.geometries,n),r=await this.parseImagesAsync(e.images),a=this.parseTextures(e.textures,r),o=this.parseMaterials(e.materials,a),l=this.parseObject(e.object,i,o,a,t),c=this.parseSkeletons(e.skeletons,l);return this.bindSkeletons(l,c),l}parseShapes(e){let t={};if(e!==void 0)for(let n=0,i=e.length;n<i;n++){let r=new zn().fromJSON(e[n]);t[r.uuid]=r}return t}parseSkeletons(e,t){let n={},i={};if(t.traverse(function(r){r.isBone&&(i[r.uuid]=r)}),e!==void 0)for(let r=0,a=e.length;r<a;r++){let o=new co().fromJSON(e[r],i);n[o.uuid]=o}return n}parseGeometries(e,t){let n={};if(e!==void 0){let i=new tl;for(let r=0,a=e.length;r<a;r++){let o,l=e[r];switch(l.type){case"BufferGeometry":case"InstancedBufferGeometry":o=i.parse(l);break;default:l.type in nf?o=nf[l.type].fromJSON(l,t):console.warn(`THREE.ObjectLoader: Unsupported geometry type "${l.type}"`)}o.uuid=l.uuid,l.name!==void 0&&(o.name=l.name),l.userData!==void 0&&(o.userData=l.userData),n[l.uuid]=o}}return n}parseMaterials(e,t){let n={},i={};if(e!==void 0){let r=new Qo;r.setTextures(t);for(let a=0,o=e.length;a<o;a++){let l=e[a];n[l.uuid]===void 0&&(n[l.uuid]=r.parse(l)),i[l.uuid]=n[l.uuid]}}return i}parseAnimations(e){let t={};if(e!==void 0)for(let n=0;n<e.length;n++){let i=e[n],r=Vi.parse(i);t[r.uuid]=r}return t}parseImages(e,t){let n=this,i={},r;function a(l){return n.manager.itemStart(l),r.load(l,function(){n.manager.itemEnd(l)},void 0,function(){n.manager.itemError(l),n.manager.itemEnd(l)})}function o(l){if(typeof l=="string"){let c=l,h=/^(\/\/)|([a-z]+:(\/\/)?)/i.test(c)?c:n.resourcePath+c;return a(h)}else return l.data?{data:us(l.type,l.data),width:l.width,height:l.height}:null}if(e!==void 0&&e.length>0){let l=new kr(t);r=new Hi(l),r.setCrossOrigin(this.crossOrigin);for(let c=0,h=e.length;c<h;c++){let f=e[c],p=f.url;if(Array.isArray(p)){let m=[];for(let g=0,y=p.length;g<y;g++){let u=p[g],d=o(u);d!==null&&(d instanceof HTMLImageElement?m.push(d):m.push(new Bn(d.data,d.width,d.height)))}i[f.uuid]=new Dn(m)}else{let m=o(f.url);i[f.uuid]=new Dn(m)}}}return i}async parseImagesAsync(e){let t=this,n={},i;async function r(a){if(typeof a=="string"){let o=a,l=/^(\/\/)|([a-z]+:(\/\/)?)/i.test(o)?o:t.resourcePath+o;return await i.loadAsync(l)}else return a.data?{data:us(a.type,a.data),width:a.width,height:a.height}:null}if(e!==void 0&&e.length>0){i=new Hi(this.manager),i.setCrossOrigin(this.crossOrigin);for(let a=0,o=e.length;a<o;a++){let l=e[a],c=l.url;if(Array.isArray(c)){let h=[];for(let f=0,p=c.length;f<p;f++){let m=c[f],g=await r(m);g!==null&&(g instanceof HTMLImageElement?h.push(g):h.push(new Bn(g.data,g.width,g.height)))}n[l.uuid]=new Dn(h)}else{let h=await r(l.url);n[l.uuid]=new Dn(h)}}}return n}parseTextures(e,t){function n(r,a){return typeof r=="number"?r:(console.warn("THREE.ObjectLoader.parseTexture: Constant should be in numeric form.",r),a[r])}let i={};if(e!==void 0)for(let r=0,a=e.length;r<a;r++){let o=e[r];o.image===void 0&&console.warn('THREE.ObjectLoader: No "image" specified for',o.uuid),t[o.image]===void 0&&console.warn("THREE.ObjectLoader: Undefined image",o.image);let l=t[o.image],c=l.data,h;Array.isArray(c)?(h=new Di,c.length===6&&(h.needsUpdate=!0)):(c&&c.data?h=new Bn:h=new wt,c&&(h.needsUpdate=!0)),h.source=l,h.uuid=o.uuid,o.name!==void 0&&(h.name=o.name),o.mapping!==void 0&&(h.mapping=n(o.mapping,Xv)),o.channel!==void 0&&(h.channel=o.channel),o.offset!==void 0&&h.offset.fromArray(o.offset),o.repeat!==void 0&&h.repeat.fromArray(o.repeat),o.center!==void 0&&h.center.fromArray(o.center),o.rotation!==void 0&&(h.rotation=o.rotation),o.wrap!==void 0&&(h.wrapS=n(o.wrap[0],of),h.wrapT=n(o.wrap[1],of)),o.format!==void 0&&(h.format=o.format),o.internalFormat!==void 0&&(h.internalFormat=o.internalFormat),o.type!==void 0&&(h.type=o.type),o.colorSpace!==void 0&&(h.colorSpace=o.colorSpace),o.encoding!==void 0&&(h.encoding=o.encoding),o.minFilter!==void 0&&(h.minFilter=n(o.minFilter,lf)),o.magFilter!==void 0&&(h.magFilter=n(o.magFilter,lf)),o.anisotropy!==void 0&&(h.anisotropy=o.anisotropy),o.flipY!==void 0&&(h.flipY=o.flipY),o.generateMipmaps!==void 0&&(h.generateMipmaps=o.generateMipmaps),o.premultiplyAlpha!==void 0&&(h.premultiplyAlpha=o.premultiplyAlpha),o.unpackAlignment!==void 0&&(h.unpackAlignment=o.unpackAlignment),o.compareFunction!==void 0&&(h.compareFunction=o.compareFunction),o.userData!==void 0&&(h.userData=o.userData),i[o.uuid]=h}return i}parseObject(e,t,n,i,r){let a;function o(p){return t[p]===void 0&&console.warn("THREE.ObjectLoader: Undefined geometry",p),t[p]}function l(p){if(p!==void 0){if(Array.isArray(p)){let m=[];for(let g=0,y=p.length;g<y;g++){let u=p[g];n[u]===void 0&&console.warn("THREE.ObjectLoader: Undefined material",u),m.push(n[u])}return m}return n[p]===void 0&&console.warn("THREE.ObjectLoader: Undefined material",p),n[p]}}function c(p){return i[p]===void 0&&console.warn("THREE.ObjectLoader: Undefined texture",p),i[p]}let h,f;switch(e.type){case"Scene":a=new Ts,e.background!==void 0&&(Number.isInteger(e.background)?a.background=new Se(e.background):a.background=c(e.background)),e.environment!==void 0&&(a.environment=c(e.environment)),e.fog!==void 0&&(e.fog.type==="Fog"?a.fog=new ro(e.fog.color,e.fog.near,e.fog.far):e.fog.type==="FogExp2"&&(a.fog=new so(e.fog.color,e.fog.density)),e.fog.name!==""&&(a.fog.name=e.fog.name)),e.backgroundBlurriness!==void 0&&(a.backgroundBlurriness=e.backgroundBlurriness),e.backgroundIntensity!==void 0&&(a.backgroundIntensity=e.backgroundIntensity);break;case"PerspectiveCamera":a=new _t(e.fov,e.aspect,e.near,e.far),e.focus!==void 0&&(a.focus=e.focus),e.zoom!==void 0&&(a.zoom=e.zoom),e.filmGauge!==void 0&&(a.filmGauge=e.filmGauge),e.filmOffset!==void 0&&(a.filmOffset=e.filmOffset),e.view!==void 0&&(a.view=Object.assign({},e.view));break;case"OrthographicCamera":a=new Es(e.left,e.right,e.top,e.bottom,e.near,e.far),e.zoom!==void 0&&(a.zoom=e.zoom),e.view!==void 0&&(a.view=Object.assign({},e.view));break;case"AmbientLight":a=new Ls(e.color,e.intensity);break;case"DirectionalLight":a=new Gi(e.color,e.intensity);break;case"PointLight":a=new Jo(e.color,e.intensity,e.distance,e.decay);break;case"RectAreaLight":a=new Ko(e.color,e.intensity,e.width,e.height);break;case"SpotLight":a=new Zo(e.color,e.intensity,e.distance,e.angle,e.penumbra,e.decay);break;case"HemisphereLight":a=new qo(e.color,e.groundColor,e.intensity);break;case"LightProbe":a=new jo().fromJSON(e);break;case"SkinnedMesh":h=o(e.geometry),f=l(e.material),a=new lo(h,f),e.bindMode!==void 0&&(a.bindMode=e.bindMode),e.bindMatrix!==void 0&&a.bindMatrix.fromArray(e.bindMatrix),e.skeleton!==void 0&&(a.skeleton=e.skeleton);break;case"Mesh":h=o(e.geometry),f=l(e.material),a=new xt(h,f);break;case"InstancedMesh":h=o(e.geometry),f=l(e.material);let p=e.count,m=e.instanceMatrix,g=e.instanceColor;a=new ho(h,f,p),a.instanceMatrix=new si(new Float32Array(m.array),16),g!==void 0&&(a.instanceColor=new si(new Float32Array(g.array),g.itemSize));break;case"BatchedMesh":h=o(e.geometry),f=l(e.material),a=new uo(e.maxGeometryCount,e.maxVertexCount,e.maxIndexCount,f),a.geometry=h,a.perObjectFrustumCulled=e.perObjectFrustumCulled,a.sortObjects=e.sortObjects,a._drawRanges=e.drawRanges,a._reservedRanges=e.reservedRanges,a._visibility=e.visibility,a._active=e.active,a._bounds=e.bounds.map(y=>{let u=new Et;u.min.fromArray(y.boxMin),u.max.fromArray(y.boxMax);let d=new vt;return d.radius=y.sphereRadius,d.center.fromArray(y.sphereCenter),{boxInitialized:y.boxInitialized,box:u,sphereInitialized:y.sphereInitialized,sphere:d}}),a._maxGeometryCount=e.maxGeometryCount,a._maxVertexCount=e.maxVertexCount,a._maxIndexCount=e.maxIndexCount,a._geometryInitialized=e.geometryInitialized,a._geometryCount=e.geometryCount,a._matricesTexture=c(e.matricesTexture.uuid);break;case"LOD":a=new oo;break;case"Line":a=new vn(o(e.geometry),l(e.material));break;case"LineLoop":a=new fo(o(e.geometry),l(e.material));break;case"LineSegments":a=new sn(o(e.geometry),l(e.material));break;case"PointCloud":case"Points":a=new po(o(e.geometry),l(e.material));break;case"Sprite":a=new ao(l(e.material));break;case"Group":a=new jn;break;case"Bone":a=new Er;break;default:a=new tt}if(a.uuid=e.uuid,e.name!==void 0&&(a.name=e.name),e.matrix!==void 0?(a.matrix.fromArray(e.matrix),e.matrixAutoUpdate!==void 0&&(a.matrixAutoUpdate=e.matrixAutoUpdate),a.matrixAutoUpdate&&a.matrix.decompose(a.position,a.quaternion,a.scale)):(e.position!==void 0&&a.position.fromArray(e.position),e.rotation!==void 0&&a.rotation.fromArray(e.rotation),e.quaternion!==void 0&&a.quaternion.fromArray(e.quaternion),e.scale!==void 0&&a.scale.fromArray(e.scale)),e.up!==void 0&&a.up.fromArray(e.up),e.castShadow!==void 0&&(a.castShadow=e.castShadow),e.receiveShadow!==void 0&&(a.receiveShadow=e.receiveShadow),e.shadow&&(e.shadow.bias!==void 0&&(a.shadow.bias=e.shadow.bias),e.shadow.normalBias!==void 0&&(a.shadow.normalBias=e.shadow.normalBias),e.shadow.radius!==void 0&&(a.shadow.radius=e.shadow.radius),e.shadow.mapSize!==void 0&&a.shadow.mapSize.fromArray(e.shadow.mapSize),e.shadow.camera!==void 0&&(a.shadow.camera=this.parseObject(e.shadow.camera))),e.visible!==void 0&&(a.visible=e.visible),e.frustumCulled!==void 0&&(a.frustumCulled=e.frustumCulled),e.renderOrder!==void 0&&(a.renderOrder=e.renderOrder),e.userData!==void 0&&(a.userData=e.userData),e.layers!==void 0&&(a.layers.mask=e.layers),e.children!==void 0){let p=e.children;for(let m=0;m<p.length;m++)a.add(this.parseObject(p[m],t,n,i,r))}if(e.animations!==void 0){let p=e.animations;for(let m=0;m<p.length;m++){let g=p[m];a.animations.push(r[g])}}if(e.type==="LOD"){e.autoUpdate!==void 0&&(a.autoUpdate=e.autoUpdate);let p=e.levels;for(let m=0;m<p.length;m++){let g=p[m],y=a.getObjectByProperty("uuid",g.object);y!==void 0&&a.addLevel(y,g.distance,g.hysteresis)}}return a}bindSkeletons(e,t){Object.keys(t).length!==0&&e.traverse(function(n){if(n.isSkinnedMesh===!0&&n.skeleton!==void 0){let i=t[n.skeleton];i===void 0?console.warn("THREE.ObjectLoader: No skeleton found with UUID:",n.skeleton):n.bind(i,n.bindMatrix)}})}},Xv={UVMapping:al,CubeReflectionMapping:Vn,CubeRefractionMapping:ni,EquirectangularReflectionMapping:tr,EquirectangularRefractionMapping:nr,CubeUVReflectionMapping:Ds},of={RepeatWrapping:ir,ClampToEdgeWrapping:Ot,MirroredRepeatWrapping:sr},lf={NearestFilter:mt,NearestMipmapNearestFilter:Ka,NearestMipmapLinearFilter:Zs,LinearFilter:yt,LinearMipmapNearestFilter:eu,LinearMipmapLinearFilter:ii},Mh=class extends Bt{constructor(e){super(e),this.isImageBitmapLoader=!0,typeof createImageBitmap>"u"&&console.warn("THREE.ImageBitmapLoader: createImageBitmap() not supported."),typeof fetch>"u"&&console.warn("THREE.ImageBitmapLoader: fetch() not supported."),this.options={premultiplyAlpha:"none"}}setOptions(e){return this.options=e,this}load(e,t,n,i){e===void 0&&(e=""),this.path!==void 0&&(e=this.path+e),e=this.manager.resolveURL(e);let r=this,a=Un.get(e);if(a!==void 0){if(r.manager.itemStart(e),a.then){a.then(c=>{t&&t(c),r.manager.itemEnd(e)}).catch(c=>{i&&i(c)});return}return setTimeout(function(){t&&t(a),r.manager.itemEnd(e)},0),a}let o={};o.credentials=this.crossOrigin==="anonymous"?"same-origin":"include",o.headers=this.requestHeader;let l=fetch(e,o).then(function(c){return c.blob()}).then(function(c){return createImageBitmap(c,Object.assign(r.options,{colorSpaceConversion:"none"}))}).then(function(c){return Un.add(e,c),t&&t(c),r.manager.itemEnd(e),c}).catch(function(c){i&&i(c),Un.remove(e),r.manager.itemError(e),r.manager.itemEnd(e)});Un.add(e,l),r.manager.itemStart(e)}},Ua,Gr=class{static getContext(){return Ua===void 0&&(Ua=new(window.AudioContext||window.webkitAudioContext)),Ua}static setContext(e){Ua=e}},bh=class extends Bt{constructor(e){super(e)}load(e,t,n,i){let r=this,a=new dn(this.manager);a.setResponseType("arraybuffer"),a.setPath(this.path),a.setRequestHeader(this.requestHeader),a.setWithCredentials(this.withCredentials),a.load(e,function(l){try{let c=l.slice(0);Gr.getContext().decodeAudioData(c,function(f){t(f)}).catch(o)}catch(c){o(c)}},n,i);function o(l){i?i(l):console.error(l),r.manager.itemError(e)}}},cf=new Be,hf=new Be,_i=new Be,Sh=class{constructor(){this.type="StereoCamera",this.aspect=1,this.eyeSep=.064,this.cameraL=new _t,this.cameraL.layers.enable(1),this.cameraL.matrixAutoUpdate=!1,this.cameraR=new _t,this.cameraR.layers.enable(2),this.cameraR.matrixAutoUpdate=!1,this._cache={focus:null,fov:null,aspect:null,near:null,far:null,zoom:null,eyeSep:null}}update(e){let t=this._cache;if(t.focus!==e.focus||t.fov!==e.fov||t.aspect!==e.aspect*this.aspect||t.near!==e.near||t.far!==e.far||t.zoom!==e.zoom||t.eyeSep!==this.eyeSep){t.focus=e.focus,t.fov=e.fov,t.aspect=e.aspect*this.aspect,t.near=e.near,t.far=e.far,t.zoom=e.zoom,t.eyeSep=this.eyeSep,_i.copy(e.projectionMatrix);let i=t.eyeSep/2,r=i*t.near/t.focus,a=t.near*Math.tan(Pi*t.fov*.5)/t.zoom,o,l;hf.elements[12]=-i,cf.elements[12]=i,o=-a*t.aspect+r,l=a*t.aspect+r,_i.elements[0]=2*t.near/(l-o),_i.elements[8]=(l+o)/(l-o),this.cameraL.projectionMatrix.copy(_i),o=-a*t.aspect-r,l=a*t.aspect-r,_i.elements[0]=2*t.near/(l-o),_i.elements[8]=(l+o)/(l-o),this.cameraR.projectionMatrix.copy(_i)}this.cameraL.matrixWorld.copy(e.matrixWorld).multiply(hf),this.cameraR.matrixWorld.copy(e.matrixWorld).multiply(cf)}},nl=class{constructor(e=!0){this.autoStart=e,this.startTime=0,this.oldTime=0,this.elapsedTime=0,this.running=!1}start(){this.startTime=uf(),this.oldTime=this.startTime,this.elapsedTime=0,this.running=!0}stop(){this.getElapsedTime(),this.running=!1,this.autoStart=!1}getElapsedTime(){return this.getDelta(),this.elapsedTime}getDelta(){let e=0;if(this.autoStart&&!this.running)return this.start(),0;if(this.running){let t=uf();e=(t-this.oldTime)/1e3,this.oldTime=t,this.elapsedTime+=e}return e}};function uf(){return(typeof performance>"u"?Date:performance).now()}var xi=new U,df=new St,Yv=new U,vi=new U,Eh=class extends tt{constructor(){super(),this.type="AudioListener",this.context=Gr.getContext(),this.gain=this.context.createGain(),this.gain.connect(this.context.destination),this.filter=null,this.timeDelta=0,this._clock=new nl}getInput(){return this.gain}removeFilter(){return this.filter!==null&&(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination),this.gain.connect(this.context.destination),this.filter=null),this}getFilter(){return this.filter}setFilter(e){return this.filter!==null?(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination)):this.gain.disconnect(this.context.destination),this.filter=e,this.gain.connect(this.filter),this.filter.connect(this.context.destination),this}getMasterVolume(){return this.gain.gain.value}setMasterVolume(e){return this.gain.gain.setTargetAtTime(e,this.context.currentTime,.01),this}updateMatrixWorld(e){super.updateMatrixWorld(e);let t=this.context.listener,n=this.up;if(this.timeDelta=this._clock.getDelta(),this.matrixWorld.decompose(xi,df,Yv),vi.set(0,0,-1).applyQuaternion(df),t.positionX){let i=this.context.currentTime+this.timeDelta;t.positionX.linearRampToValueAtTime(xi.x,i),t.positionY.linearRampToValueAtTime(xi.y,i),t.positionZ.linearRampToValueAtTime(xi.z,i),t.forwardX.linearRampToValueAtTime(vi.x,i),t.forwardY.linearRampToValueAtTime(vi.y,i),t.forwardZ.linearRampToValueAtTime(vi.z,i),t.upX.linearRampToValueAtTime(n.x,i),t.upY.linearRampToValueAtTime(n.y,i),t.upZ.linearRampToValueAtTime(n.z,i)}else t.setPosition(xi.x,xi.y,xi.z),t.setOrientation(vi.x,vi.y,vi.z,n.x,n.y,n.z)}},il=class extends tt{constructor(e){super(),this.type="Audio",this.listener=e,this.context=e.context,this.gain=this.context.createGain(),this.gain.connect(e.getInput()),this.autoplay=!1,this.buffer=null,this.detune=0,this.loop=!1,this.loopStart=0,this.loopEnd=0,this.offset=0,this.duration=void 0,this.playbackRate=1,this.isPlaying=!1,this.hasPlaybackControl=!0,this.source=null,this.sourceType="empty",this._startedAt=0,this._progress=0,this._connected=!1,this.filters=[]}getOutput(){return this.gain}setNodeSource(e){return this.hasPlaybackControl=!1,this.sourceType="audioNode",this.source=e,this.connect(),this}setMediaElementSource(e){return this.hasPlaybackControl=!1,this.sourceType="mediaNode",this.source=this.context.createMediaElementSource(e),this.connect(),this}setMediaStreamSource(e){return this.hasPlaybackControl=!1,this.sourceType="mediaStreamNode",this.source=this.context.createMediaStreamSource(e),this.connect(),this}setBuffer(e){return this.buffer=e,this.sourceType="buffer",this.autoplay&&this.play(),this}play(e=0){if(this.isPlaying===!0){console.warn("THREE.Audio: Audio is already playing.");return}if(this.hasPlaybackControl===!1){console.warn("THREE.Audio: this Audio has no playback control.");return}this._startedAt=this.context.currentTime+e;let t=this.context.createBufferSource();return t.buffer=this.buffer,t.loop=this.loop,t.loopStart=this.loopStart,t.loopEnd=this.loopEnd,t.onended=this.onEnded.bind(this),t.start(this._startedAt,this._progress+this.offset,this.duration),this.isPlaying=!0,this.source=t,this.setDetune(this.detune),this.setPlaybackRate(this.playbackRate),this.connect()}pause(){if(this.hasPlaybackControl===!1){console.warn("THREE.Audio: this Audio has no playback control.");return}return this.isPlaying===!0&&(this._progress+=Math.max(this.context.currentTime-this._startedAt,0)*this.playbackRate,this.loop===!0&&(this._progress=this._progress%(this.duration||this.buffer.duration)),this.source.stop(),this.source.onended=null,this.isPlaying=!1),this}stop(){if(this.hasPlaybackControl===!1){console.warn("THREE.Audio: this Audio has no playback control.");return}return this._progress=0,this.source!==null&&(this.source.stop(),this.source.onended=null),this.isPlaying=!1,this}connect(){if(this.filters.length>0){this.source.connect(this.filters[0]);for(let e=1,t=this.filters.length;e<t;e++)this.filters[e-1].connect(this.filters[e]);this.filters[this.filters.length-1].connect(this.getOutput())}else this.source.connect(this.getOutput());return this._connected=!0,this}disconnect(){if(this._connected!==!1){if(this.filters.length>0){this.source.disconnect(this.filters[0]);for(let e=1,t=this.filters.length;e<t;e++)this.filters[e-1].disconnect(this.filters[e]);this.filters[this.filters.length-1].disconnect(this.getOutput())}else this.source.disconnect(this.getOutput());return this._connected=!1,this}}getFilters(){return this.filters}setFilters(e){return e||(e=[]),this._connected===!0?(this.disconnect(),this.filters=e.slice(),this.connect()):this.filters=e.slice(),this}setDetune(e){if(this.detune=e,this.source.detune!==void 0)return this.isPlaying===!0&&this.source.detune.setTargetAtTime(this.detune,this.context.currentTime,.01),this}getDetune(){return this.detune}getFilter(){return this.getFilters()[0]}setFilter(e){return this.setFilters(e?[e]:[])}setPlaybackRate(e){if(this.hasPlaybackControl===!1){console.warn("THREE.Audio: this Audio has no playback control.");return}return this.playbackRate=e,this.isPlaying===!0&&this.source.playbackRate.setTargetAtTime(this.playbackRate,this.context.currentTime,.01),this}getPlaybackRate(){return this.playbackRate}onEnded(){this.isPlaying=!1}getLoop(){return this.hasPlaybackControl===!1?(console.warn("THREE.Audio: this Audio has no playback control."),!1):this.loop}setLoop(e){if(this.hasPlaybackControl===!1){console.warn("THREE.Audio: this Audio has no playback control.");return}return this.loop=e,this.isPlaying===!0&&(this.source.loop=this.loop),this}setLoopStart(e){return this.loopStart=e,this}setLoopEnd(e){return this.loopEnd=e,this}getVolume(){return this.gain.gain.value}setVolume(e){return this.gain.gain.setTargetAtTime(e,this.context.currentTime,.01),this}},Mi=new U,ff=new St,qv=new U,bi=new U,wh=class extends il{constructor(e){super(e),this.panner=this.context.createPanner(),this.panner.panningModel="HRTF",this.panner.connect(this.gain)}connect(){super.connect(),this.panner.connect(this.gain)}disconnect(){super.disconnect(),this.panner.disconnect(this.gain)}getOutput(){return this.panner}getRefDistance(){return this.panner.refDistance}setRefDistance(e){return this.panner.refDistance=e,this}getRolloffFactor(){return this.panner.rolloffFactor}setRolloffFactor(e){return this.panner.rolloffFactor=e,this}getDistanceModel(){return this.panner.distanceModel}setDistanceModel(e){return this.panner.distanceModel=e,this}getMaxDistance(){return this.panner.maxDistance}setMaxDistance(e){return this.panner.maxDistance=e,this}setDirectionalCone(e,t,n){return this.panner.coneInnerAngle=e,this.panner.coneOuterAngle=t,this.panner.coneOuterGain=n,this}updateMatrixWorld(e){if(super.updateMatrixWorld(e),this.hasPlaybackControl===!0&&this.isPlaying===!1)return;this.matrixWorld.decompose(Mi,ff,qv),bi.set(0,0,1).applyQuaternion(ff);let t=this.panner;if(t.positionX){let n=this.context.currentTime+this.listener.timeDelta;t.positionX.linearRampToValueAtTime(Mi.x,n),t.positionY.linearRampToValueAtTime(Mi.y,n),t.positionZ.linearRampToValueAtTime(Mi.z,n),t.orientationX.linearRampToValueAtTime(bi.x,n),t.orientationY.linearRampToValueAtTime(bi.y,n),t.orientationZ.linearRampToValueAtTime(bi.z,n)}else t.setPosition(Mi.x,Mi.y,Mi.z),t.setOrientation(bi.x,bi.y,bi.z)}},Th=class{constructor(e,t=2048){this.analyser=e.context.createAnalyser(),this.analyser.fftSize=t,this.data=new Uint8Array(this.analyser.frequencyBinCount),e.getOutput().connect(this.analyser)}getFrequencyData(){return this.analyser.getByteFrequencyData(this.data),this.data}getAverageFrequency(){let e=0,t=this.getFrequencyData();for(let n=0;n<t.length;n++)e+=t[n];return e/t.length}},sl=class{constructor(e,t,n){this.binding=e,this.valueSize=n;let i,r,a;switch(t){case"quaternion":i=this._slerp,r=this._slerpAdditive,a=this._setAdditiveIdentityQuaternion,this.buffer=new Float64Array(n*6),this._workIndex=5;break;case"string":case"bool":i=this._select,r=this._select,a=this._setAdditiveIdentityOther,this.buffer=new Array(n*5);break;default:i=this._lerp,r=this._lerpAdditive,a=this._setAdditiveIdentityNumeric,this.buffer=new Float64Array(n*5)}this._mixBufferRegion=i,this._mixBufferRegionAdditive=r,this._setIdentity=a,this._origIndex=3,this._addIndex=4,this.cumulativeWeight=0,this.cumulativeWeightAdditive=0,this.useCount=0,this.referenceCount=0}accumulate(e,t){let n=this.buffer,i=this.valueSize,r=e*i+i,a=this.cumulativeWeight;if(a===0){for(let o=0;o!==i;++o)n[r+o]=n[o];a=t}else{a+=t;let o=t/a;this._mixBufferRegion(n,r,0,o,i)}this.cumulativeWeight=a}accumulateAdditive(e){let t=this.buffer,n=this.valueSize,i=n*this._addIndex;this.cumulativeWeightAdditive===0&&this._setIdentity(),this._mixBufferRegionAdditive(t,i,0,e,n),this.cumulativeWeightAdditive+=e}apply(e){let t=this.valueSize,n=this.buffer,i=e*t+t,r=this.cumulativeWeight,a=this.cumulativeWeightAdditive,o=this.binding;if(this.cumulativeWeight=0,this.cumulativeWeightAdditive=0,r<1){let l=t*this._origIndex;this._mixBufferRegion(n,i,l,1-r,t)}a>0&&this._mixBufferRegionAdditive(n,i,this._addIndex*t,1,t);for(let l=t,c=t+t;l!==c;++l)if(n[l]!==n[l+t]){o.setValue(n,i);break}}saveOriginalState(){let e=this.binding,t=this.buffer,n=this.valueSize,i=n*this._origIndex;e.getValue(t,i);for(let r=n,a=i;r!==a;++r)t[r]=t[i+r%n];this._setIdentity(),this.cumulativeWeight=0,this.cumulativeWeightAdditive=0}restoreOriginalState(){let e=this.valueSize*3;this.binding.setValue(this.buffer,e)}_setAdditiveIdentityNumeric(){let e=this._addIndex*this.valueSize,t=e+this.valueSize;for(let n=e;n<t;n++)this.buffer[n]=0}_setAdditiveIdentityQuaternion(){this._setAdditiveIdentityNumeric(),this.buffer[this._addIndex*this.valueSize+3]=1}_setAdditiveIdentityOther(){let e=this._origIndex*this.valueSize,t=this._addIndex*this.valueSize;for(let n=0;n<this.valueSize;n++)this.buffer[t+n]=this.buffer[e+n]}_select(e,t,n,i,r){if(i>=.5)for(let a=0;a!==r;++a)e[t+a]=e[n+a]}_slerp(e,t,n,i){St.slerpFlat(e,t,e,t,e,n,i)}_slerpAdditive(e,t,n,i,r){let a=this._workIndex*r;St.multiplyQuaternionsFlat(e,a,e,t,e,n),St.slerpFlat(e,t,e,t,e,a,i)}_lerp(e,t,n,i,r){let a=1-i;for(let o=0;o!==r;++o){let l=t+o;e[l]=e[l]*a+e[n+o]*i}}_lerpAdditive(e,t,n,i,r){for(let a=0;a!==r;++a){let o=t+a;e[o]=e[o]+e[n+a]*i}}},mu="\\[\\]\\.:\\/",Zv=new RegExp("["+mu+"]","g"),gu="[^"+mu+"]",Jv="[^"+mu.replace("\\.","")+"]",Kv=/((?:WC+[\/:])*)/.source.replace("WC",gu),$v=/(WCOD+)?/.source.replace("WCOD",Jv),jv=/(?:\.(WC+)(?:\[(.+)\])?)?/.source.replace("WC",gu),Qv=/\.(WC+)(?:\[(.+)\])?/.source.replace("WC",gu),eM=new RegExp("^"+Kv+$v+jv+Qv+"$"),tM=["material","materials","bones","map"],Ah=class{constructor(e,t,n){let i=n||nt.parseTrackName(t);this._targetGroup=e,this._bindings=e.subscribe_(t,i)}getValue(e,t){this.bind();let n=this._targetGroup.nCachedObjects_,i=this._bindings[n];i!==void 0&&i.getValue(e,t)}setValue(e,t){let n=this._bindings;for(let i=this._targetGroup.nCachedObjects_,r=n.length;i!==r;++i)n[i].setValue(e,t)}bind(){let e=this._bindings;for(let t=this._targetGroup.nCachedObjects_,n=e.length;t!==n;++t)e[t].bind()}unbind(){let e=this._bindings;for(let t=this._targetGroup.nCachedObjects_,n=e.length;t!==n;++t)e[t].unbind()}},nt=class s{constructor(e,t,n){this.path=t,this.parsedPath=n||s.parseTrackName(t),this.node=s.findNode(e,this.parsedPath.nodeName),this.rootNode=e,this.getValue=this._getValue_unbound,this.setValue=this._setValue_unbound}static create(e,t,n){return e&&e.isAnimationObjectGroup?new s.Composite(e,t,n):new s(e,t,n)}static sanitizeNodeName(e){return e.replace(/\s/g,"_").replace(Zv,"")}static parseTrackName(e){let t=eM.exec(e);if(t===null)throw new Error("PropertyBinding: Cannot parse trackName: "+e);let n={nodeName:t[2],objectName:t[3],objectIndex:t[4],propertyName:t[5],propertyIndex:t[6]},i=n.nodeName&&n.nodeName.lastIndexOf(".");if(i!==void 0&&i!==-1){let r=n.nodeName.substring(i+1);tM.indexOf(r)!==-1&&(n.nodeName=n.nodeName.substring(0,i),n.objectName=r)}if(n.propertyName===null||n.propertyName.length===0)throw new Error("PropertyBinding: can not parse propertyName from trackName: "+e);return n}static findNode(e,t){if(t===void 0||t===""||t==="."||t===-1||t===e.name||t===e.uuid)return e;if(e.skeleton){let n=e.skeleton.getBoneByName(t);if(n!==void 0)return n}if(e.children){let n=function(r){for(let a=0;a<r.length;a++){let o=r[a];if(o.name===t||o.uuid===t)return o;let l=n(o.children);if(l)return l}return null},i=n(e.children);if(i)return i}return null}_getValue_unavailable(){}_setValue_unavailable(){}_getValue_direct(e,t){e[t]=this.targetObject[this.propertyName]}_getValue_array(e,t){let n=this.resolvedProperty;for(let i=0,r=n.length;i!==r;++i)e[t++]=n[i]}_getValue_arrayElement(e,t){e[t]=this.resolvedProperty[this.propertyIndex]}_getValue_toArray(e,t){this.resolvedProperty.toArray(e,t)}_setValue_direct(e,t){this.targetObject[this.propertyName]=e[t]}_setValue_direct_setNeedsUpdate(e,t){this.targetObject[this.propertyName]=e[t],this.targetObject.needsUpdate=!0}_setValue_direct_setMatrixWorldNeedsUpdate(e,t){this.targetObject[this.propertyName]=e[t],this.targetObject.matrixWorldNeedsUpdate=!0}_setValue_array(e,t){let n=this.resolvedProperty;for(let i=0,r=n.length;i!==r;++i)n[i]=e[t++]}_setValue_array_setNeedsUpdate(e,t){let n=this.resolvedProperty;for(let i=0,r=n.length;i!==r;++i)n[i]=e[t++];this.targetObject.needsUpdate=!0}_setValue_array_setMatrixWorldNeedsUpdate(e,t){let n=this.resolvedProperty;for(let i=0,r=n.length;i!==r;++i)n[i]=e[t++];this.targetObject.matrixWorldNeedsUpdate=!0}_setValue_arrayElement(e,t){this.resolvedProperty[this.propertyIndex]=e[t]}_setValue_arrayElement_setNeedsUpdate(e,t){this.resolvedProperty[this.propertyIndex]=e[t],this.targetObject.needsUpdate=!0}_setValue_arrayElement_setMatrixWorldNeedsUpdate(e,t){this.resolvedProperty[this.propertyIndex]=e[t],this.targetObject.matrixWorldNeedsUpdate=!0}_setValue_fromArray(e,t){this.resolvedProperty.fromArray(e,t)}_setValue_fromArray_setNeedsUpdate(e,t){this.resolvedProperty.fromArray(e,t),this.targetObject.needsUpdate=!0}_setValue_fromArray_setMatrixWorldNeedsUpdate(e,t){this.resolvedProperty.fromArray(e,t),this.targetObject.matrixWorldNeedsUpdate=!0}_getValue_unbound(e,t){this.bind(),this.getValue(e,t)}_setValue_unbound(e,t){this.bind(),this.setValue(e,t)}bind(){let e=this.node,t=this.parsedPath,n=t.objectName,i=t.propertyName,r=t.propertyIndex;if(e||(e=s.findNode(this.rootNode,t.nodeName),this.node=e),this.getValue=this._getValue_unavailable,this.setValue=this._setValue_unavailable,!e){console.warn("THREE.PropertyBinding: No target node found for track: "+this.path+".");return}if(n){let c=t.objectIndex;switch(n){case"materials":if(!e.material){console.error("THREE.PropertyBinding: Can not bind to material as node does not have a material.",this);return}if(!e.material.materials){console.error("THREE.PropertyBinding: Can not bind to material.materials as node.material does not have a materials array.",this);return}e=e.material.materials;break;case"bones":if(!e.skeleton){console.error("THREE.PropertyBinding: Can not bind to bones as node does not have a skeleton.",this);return}e=e.skeleton.bones;for(let h=0;h<e.length;h++)if(e[h].name===c){c=h;break}break;case"map":if("map"in e){e=e.map;break}if(!e.material){console.error("THREE.PropertyBinding: Can not bind to material as node does not have a material.",this);return}if(!e.material.map){console.error("THREE.PropertyBinding: Can not bind to material.map as node.material does not have a map.",this);return}e=e.material.map;break;default:if(e[n]===void 0){console.error("THREE.PropertyBinding: Can not bind to objectName of node undefined.",this);return}e=e[n]}if(c!==void 0){if(e[c]===void 0){console.error("THREE.PropertyBinding: Trying to bind to objectIndex of objectName, but is undefined.",this,e);return}e=e[c]}}let a=e[i];if(a===void 0){let c=t.nodeName;console.error("THREE.PropertyBinding: Trying to update property for track: "+c+"."+i+" but it wasn't found.",e);return}let o=this.Versioning.None;this.targetObject=e,e.needsUpdate!==void 0?o=this.Versioning.NeedsUpdate:e.matrixWorldNeedsUpdate!==void 0&&(o=this.Versioning.MatrixWorldNeedsUpdate);let l=this.BindingType.Direct;if(r!==void 0){if(i==="morphTargetInfluences"){if(!e.geometry){console.error("THREE.PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.",this);return}if(!e.geometry.morphAttributes){console.error("THREE.PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.morphAttributes.",this);return}e.morphTargetDictionary[r]!==void 0&&(r=e.morphTargetDictionary[r])}l=this.BindingType.ArrayElement,this.resolvedProperty=a,this.propertyIndex=r}else a.fromArray!==void 0&&a.toArray!==void 0?(l=this.BindingType.HasFromToArray,this.resolvedProperty=a):Array.isArray(a)?(l=this.BindingType.EntireArray,this.resolvedProperty=a):this.propertyName=i;this.getValue=this.GetterByBindingType[l],this.setValue=this.SetterByBindingTypeAndVersioning[l][o]}unbind(){this.node=null,this.getValue=this._getValue_unbound,this.setValue=this._setValue_unbound}};nt.Composite=Ah;nt.prototype.BindingType={Direct:0,EntireArray:1,ArrayElement:2,HasFromToArray:3};nt.prototype.Versioning={None:0,NeedsUpdate:1,MatrixWorldNeedsUpdate:2};nt.prototype.GetterByBindingType=[nt.prototype._getValue_direct,nt.prototype._getValue_array,nt.prototype._getValue_arrayElement,nt.prototype._getValue_toArray];nt.prototype.SetterByBindingTypeAndVersioning=[[nt.prototype._setValue_direct,nt.prototype._setValue_direct_setNeedsUpdate,nt.prototype._setValue_direct_setMatrixWorldNeedsUpdate],[nt.prototype._setValue_array,nt.prototype._setValue_array_setNeedsUpdate,nt.prototype._setValue_array_setMatrixWorldNeedsUpdate],[nt.prototype._setValue_arrayElement,nt.prototype._setValue_arrayElement_setNeedsUpdate,nt.prototype._setValue_arrayElement_setMatrixWorldNeedsUpdate],[nt.prototype._setValue_fromArray,nt.prototype._setValue_fromArray_setNeedsUpdate,nt.prototype._setValue_fromArray_setMatrixWorldNeedsUpdate]];var Ch=class{constructor(){this.isAnimationObjectGroup=!0,this.uuid=Jt(),this._objects=Array.prototype.slice.call(arguments),this.nCachedObjects_=0;let e={};this._indicesByUUID=e;for(let n=0,i=arguments.length;n!==i;++n)e[arguments[n].uuid]=n;this._paths=[],this._parsedPaths=[],this._bindings=[],this._bindingsIndicesByPath={};let t=this;this.stats={objects:{get total(){return t._objects.length},get inUse(){return this.total-t.nCachedObjects_}},get bindingsPerObject(){return t._bindings.length}}}add(){let e=this._objects,t=this._indicesByUUID,n=this._paths,i=this._parsedPaths,r=this._bindings,a=r.length,o,l=e.length,c=this.nCachedObjects_;for(let h=0,f=arguments.length;h!==f;++h){let p=arguments[h],m=p.uuid,g=t[m];if(g===void 0){g=l++,t[m]=g,e.push(p);for(let y=0,u=a;y!==u;++y)r[y].push(new nt(p,n[y],i[y]))}else if(g<c){o=e[g];let y=--c,u=e[y];t[u.uuid]=g,e[g]=u,t[m]=y,e[y]=p;for(let d=0,_=a;d!==_;++d){let x=r[d],v=x[y],A=x[g];x[g]=v,A===void 0&&(A=new nt(p,n[d],i[d])),x[y]=A}}else e[g]!==o&&console.error("THREE.AnimationObjectGroup: Different objects with the same UUID detected. Clean the caches or recreate your infrastructure when reloading scenes.")}this.nCachedObjects_=c}remove(){let e=this._objects,t=this._indicesByUUID,n=this._bindings,i=n.length,r=this.nCachedObjects_;for(let a=0,o=arguments.length;a!==o;++a){let l=arguments[a],c=l.uuid,h=t[c];if(h!==void 0&&h>=r){let f=r++,p=e[f];t[p.uuid]=h,e[h]=p,t[c]=f,e[f]=l;for(let m=0,g=i;m!==g;++m){let y=n[m],u=y[f],d=y[h];y[h]=u,y[f]=d}}}this.nCachedObjects_=r}uncache(){let e=this._objects,t=this._indicesByUUID,n=this._bindings,i=n.length,r=this.nCachedObjects_,a=e.length;for(let o=0,l=arguments.length;o!==l;++o){let c=arguments[o],h=c.uuid,f=t[h];if(f!==void 0)if(delete t[h],f<r){let p=--r,m=e[p],g=--a,y=e[g];t[m.uuid]=f,e[f]=m,t[y.uuid]=p,e[p]=y,e.pop();for(let u=0,d=i;u!==d;++u){let _=n[u],x=_[p],v=_[g];_[f]=x,_[p]=v,_.pop()}}else{let p=--a,m=e[p];p>0&&(t[m.uuid]=f),e[f]=m,e.pop();for(let g=0,y=i;g!==y;++g){let u=n[g];u[f]=u[p],u.pop()}}}this.nCachedObjects_=r}subscribe_(e,t){let n=this._bindingsIndicesByPath,i=n[e],r=this._bindings;if(i!==void 0)return r[i];let a=this._paths,o=this._parsedPaths,l=this._objects,c=l.length,h=this.nCachedObjects_,f=new Array(c);i=r.length,n[e]=i,a.push(e),o.push(t),r.push(f);for(let p=h,m=l.length;p!==m;++p){let g=l[p];f[p]=new nt(g,e,t)}return f}unsubscribe_(e){let t=this._bindingsIndicesByPath,n=t[e];if(n!==void 0){let i=this._paths,r=this._parsedPaths,a=this._bindings,o=a.length-1,l=a[o],c=e[o];t[c]=n,a[n]=l,a.pop(),r[n]=r[o],r.pop(),i[n]=i[o],i.pop()}}},rl=class{constructor(e,t,n=null,i=t.blendMode){this._mixer=e,this._clip=t,this._localRoot=n,this.blendMode=i;let r=t.tracks,a=r.length,o=new Array(a),l={endingStart:Ti,endingEnd:Ti};for(let c=0;c!==a;++c){let h=r[c].createInterpolant(null);o[c]=h,h.settings=l}this._interpolantSettings=l,this._interpolants=o,this._propertyBindings=new Array(a),this._cacheIndex=null,this._byClipCacheIndex=null,this._timeScaleInterpolant=null,this._weightInterpolant=null,this.loop=fp,this._loopCount=-1,this._startTime=null,this.time=0,this.timeScale=1,this._effectiveTimeScale=1,this.weight=1,this._effectiveWeight=1,this.repetitions=1/0,this.paused=!1,this.enabled=!0,this.clampWhenFinished=!1,this.zeroSlopeAtStart=!0,this.zeroSlopeAtEnd=!0}play(){return this._mixer._activateAction(this),this}stop(){return this._mixer._deactivateAction(this),this.reset()}reset(){return this.paused=!1,this.enabled=!0,this.time=0,this._loopCount=-1,this._startTime=null,this.stopFading().stopWarping()}isRunning(){return this.enabled&&!this.paused&&this.timeScale!==0&&this._startTime===null&&this._mixer._isActiveAction(this)}isScheduled(){return this._mixer._isActiveAction(this)}startAt(e){return this._startTime=e,this}setLoop(e,t){return this.loop=e,this.repetitions=t,this}setEffectiveWeight(e){return this.weight=e,this._effectiveWeight=this.enabled?e:0,this.stopFading()}getEffectiveWeight(){return this._effectiveWeight}fadeIn(e){return this._scheduleFading(e,0,1)}fadeOut(e){return this._scheduleFading(e,1,0)}crossFadeFrom(e,t,n){if(e.fadeOut(t),this.fadeIn(t),n){let i=this._clip.duration,r=e._clip.duration,a=r/i,o=i/r;e.warp(1,a,t),this.warp(o,1,t)}return this}crossFadeTo(e,t,n){return e.crossFadeFrom(this,t,n)}stopFading(){let e=this._weightInterpolant;return e!==null&&(this._weightInterpolant=null,this._mixer._takeBackControlInterpolant(e)),this}setEffectiveTimeScale(e){return this.timeScale=e,this._effectiveTimeScale=this.paused?0:e,this.stopWarping()}getEffectiveTimeScale(){return this._effectiveTimeScale}setDuration(e){return this.timeScale=this._clip.duration/e,this.stopWarping()}syncWith(e){return this.time=e.time,this.timeScale=e.timeScale,this.stopWarping()}halt(e){return this.warp(this._effectiveTimeScale,0,e)}warp(e,t,n){let i=this._mixer,r=i.time,a=this.timeScale,o=this._timeScaleInterpolant;o===null&&(o=i._lendControlInterpolant(),this._timeScaleInterpolant=o);let l=o.parameterPositions,c=o.sampleValues;return l[0]=r,l[1]=r+n,c[0]=e/a,c[1]=t/a,this}stopWarping(){let e=this._timeScaleInterpolant;return e!==null&&(this._timeScaleInterpolant=null,this._mixer._takeBackControlInterpolant(e)),this}getMixer(){return this._mixer}getClip(){return this._clip}getRoot(){return this._localRoot||this._mixer._root}_update(e,t,n,i){if(!this.enabled){this._updateWeight(e);return}let r=this._startTime;if(r!==null){let l=(e-r)*n;l<0||n===0?t=0:(this._startTime=null,t=n*l)}t*=this._updateTimeScale(e);let a=this._updateTime(t),o=this._updateWeight(e);if(o>0){let l=this._interpolants,c=this._propertyBindings;switch(this.blendMode){case lu:for(let h=0,f=l.length;h!==f;++h)l[h].evaluate(a),c[h].accumulateAdditive(o);break;case ll:default:for(let h=0,f=l.length;h!==f;++h)l[h].evaluate(a),c[h].accumulate(i,o)}}}_updateWeight(e){let t=0;if(this.enabled){t=this.weight;let n=this._weightInterpolant;if(n!==null){let i=n.evaluate(e)[0];t*=i,e>n.parameterPositions[1]&&(this.stopFading(),i===0&&(this.enabled=!1))}}return this._effectiveWeight=t,t}_updateTimeScale(e){let t=0;if(!this.paused){t=this.timeScale;let n=this._timeScaleInterpolant;if(n!==null){let i=n.evaluate(e)[0];t*=i,e>n.parameterPositions[1]&&(this.stopWarping(),t===0?this.paused=!0:this.timeScale=t)}}return this._effectiveTimeScale=t,t}_updateTime(e){let t=this._clip.duration,n=this.loop,i=this.time+e,r=this._loopCount,a=n===pp;if(e===0)return r===-1?i:a&&(r&1)===1?t-i:i;if(n===dp){r===-1&&(this._loopCount=0,this._setEndings(!0,!0,!1));e:{if(i>=t)i=t;else if(i<0)i=0;else{this.time=i;break e}this.clampWhenFinished?this.paused=!0:this.enabled=!1,this.time=i,this._mixer.dispatchEvent({type:"finished",action:this,direction:e<0?-1:1})}}else{if(r===-1&&(e>=0?(r=0,this._setEndings(!0,this.repetitions===0,a)):this._setEndings(this.repetitions===0,!0,a)),i>=t||i<0){let o=Math.floor(i/t);i-=t*o,r+=Math.abs(o);let l=this.repetitions-r;if(l<=0)this.clampWhenFinished?this.paused=!0:this.enabled=!1,i=e>0?t:0,this.time=i,this._mixer.dispatchEvent({type:"finished",action:this,direction:e>0?1:-1});else{if(l===1){let c=e<0;this._setEndings(c,!c,a)}else this._setEndings(!1,!1,a);this._loopCount=r,this.time=i,this._mixer.dispatchEvent({type:"loop",action:this,loopDelta:o})}}else this.time=i;if(a&&(r&1)===1)return t-i}return i}_setEndings(e,t,n){let i=this._interpolantSettings;n?(i.endingStart=Ai,i.endingEnd=Ai):(e?i.endingStart=this.zeroSlopeAtStart?Ai:Ti:i.endingStart=or,t?i.endingEnd=this.zeroSlopeAtEnd?Ai:Ti:i.endingEnd=or)}_scheduleFading(e,t,n){let i=this._mixer,r=i.time,a=this._weightInterpolant;a===null&&(a=i._lendControlInterpolant(),this._weightInterpolant=a);let o=a.parameterPositions,l=a.sampleValues;return o[0]=r,l[0]=t,o[1]=r+e,l[1]=n,this}},nM=new Float32Array(1),Rh=class extends Kt{constructor(e){super(),this._root=e,this._initMemoryManager(),this._accuIndex=0,this.time=0,this.timeScale=1}_bindAction(e,t){let n=e._localRoot||this._root,i=e._clip.tracks,r=i.length,a=e._propertyBindings,o=e._interpolants,l=n.uuid,c=this._bindingsByRootAndName,h=c[l];h===void 0&&(h={},c[l]=h);for(let f=0;f!==r;++f){let p=i[f],m=p.name,g=h[m];if(g!==void 0)++g.referenceCount,a[f]=g;else{if(g=a[f],g!==void 0){g._cacheIndex===null&&(++g.referenceCount,this._addInactiveBinding(g,l,m));continue}let y=t&&t._propertyBindings[f].binding.parsedPath;g=new sl(nt.create(n,m,y),p.ValueTypeName,p.getValueSize()),++g.referenceCount,this._addInactiveBinding(g,l,m),a[f]=g}o[f].resultBuffer=g.buffer}}_activateAction(e){if(!this._isActiveAction(e)){if(e._cacheIndex===null){let n=(e._localRoot||this._root).uuid,i=e._clip.uuid,r=this._actionsByClip[i];this._bindAction(e,r&&r.knownActions[0]),this._addInactiveAction(e,i,n)}let t=e._propertyBindings;for(let n=0,i=t.length;n!==i;++n){let r=t[n];r.useCount++===0&&(this._lendBinding(r),r.saveOriginalState())}this._lendAction(e)}}_deactivateAction(e){if(this._isActiveAction(e)){let t=e._propertyBindings;for(let n=0,i=t.length;n!==i;++n){let r=t[n];--r.useCount===0&&(r.restoreOriginalState(),this._takeBackBinding(r))}this._takeBackAction(e)}}_initMemoryManager(){this._actions=[],this._nActiveActions=0,this._actionsByClip={},this._bindings=[],this._nActiveBindings=0,this._bindingsByRootAndName={},this._controlInterpolants=[],this._nActiveControlInterpolants=0;let e=this;this.stats={actions:{get total(){return e._actions.length},get inUse(){return e._nActiveActions}},bindings:{get total(){return e._bindings.length},get inUse(){return e._nActiveBindings}},controlInterpolants:{get total(){return e._controlInterpolants.length},get inUse(){return e._nActiveControlInterpolants}}}}_isActiveAction(e){let t=e._cacheIndex;return t!==null&&t<this._nActiveActions}_addInactiveAction(e,t,n){let i=this._actions,r=this._actionsByClip,a=r[t];if(a===void 0)a={knownActions:[e],actionByRoot:{}},e._byClipCacheIndex=0,r[t]=a;else{let o=a.knownActions;e._byClipCacheIndex=o.length,o.push(e)}e._cacheIndex=i.length,i.push(e),a.actionByRoot[n]=e}_removeInactiveAction(e){let t=this._actions,n=t[t.length-1],i=e._cacheIndex;n._cacheIndex=i,t[i]=n,t.pop(),e._cacheIndex=null;let r=e._clip.uuid,a=this._actionsByClip,o=a[r],l=o.knownActions,c=l[l.length-1],h=e._byClipCacheIndex;c._byClipCacheIndex=h,l[h]=c,l.pop(),e._byClipCacheIndex=null;let f=o.actionByRoot,p=(e._localRoot||this._root).uuid;delete f[p],l.length===0&&delete a[r],this._removeInactiveBindingsForAction(e)}_removeInactiveBindingsForAction(e){let t=e._propertyBindings;for(let n=0,i=t.length;n!==i;++n){let r=t[n];--r.referenceCount===0&&this._removeInactiveBinding(r)}}_lendAction(e){let t=this._actions,n=e._cacheIndex,i=this._nActiveActions++,r=t[i];e._cacheIndex=i,t[i]=e,r._cacheIndex=n,t[n]=r}_takeBackAction(e){let t=this._actions,n=e._cacheIndex,i=--this._nActiveActions,r=t[i];e._cacheIndex=i,t[i]=e,r._cacheIndex=n,t[n]=r}_addInactiveBinding(e,t,n){let i=this._bindingsByRootAndName,r=this._bindings,a=i[t];a===void 0&&(a={},i[t]=a),a[n]=e,e._cacheIndex=r.length,r.push(e)}_removeInactiveBinding(e){let t=this._bindings,n=e.binding,i=n.rootNode.uuid,r=n.path,a=this._bindingsByRootAndName,o=a[i],l=t[t.length-1],c=e._cacheIndex;l._cacheIndex=c,t[c]=l,t.pop(),delete o[r],Object.keys(o).length===0&&delete a[i]}_lendBinding(e){let t=this._bindings,n=e._cacheIndex,i=this._nActiveBindings++,r=t[i];e._cacheIndex=i,t[i]=e,r._cacheIndex=n,t[n]=r}_takeBackBinding(e){let t=this._bindings,n=e._cacheIndex,i=--this._nActiveBindings,r=t[i];e._cacheIndex=i,t[i]=e,r._cacheIndex=n,t[n]=r}_lendControlInterpolant(){let e=this._controlInterpolants,t=this._nActiveControlInterpolants++,n=e[t];return n===void 0&&(n=new Br(new Float32Array(2),new Float32Array(2),1,nM),n.__cacheIndex=t,e[t]=n),n}_takeBackControlInterpolant(e){let t=this._controlInterpolants,n=e.__cacheIndex,i=--this._nActiveControlInterpolants,r=t[i];e.__cacheIndex=i,t[i]=e,r.__cacheIndex=n,t[n]=r}clipAction(e,t,n){let i=t||this._root,r=i.uuid,a=typeof e=="string"?Vi.findByName(i,e):e,o=a!==null?a.uuid:e,l=this._actionsByClip[o],c=null;if(n===void 0&&(a!==null?n=a.blendMode:n=ll),l!==void 0){let f=l.actionByRoot[r];if(f!==void 0&&f.blendMode===n)return f;c=l.knownActions[0],a===null&&(a=c._clip)}if(a===null)return null;let h=new rl(this,a,t,n);return this._bindAction(h,c),this._addInactiveAction(h,o,r),h}existingAction(e,t){let n=t||this._root,i=n.uuid,r=typeof e=="string"?Vi.findByName(n,e):e,a=r?r.uuid:e,o=this._actionsByClip[a];return o!==void 0&&o.actionByRoot[i]||null}stopAllAction(){let e=this._actions,t=this._nActiveActions;for(let n=t-1;n>=0;--n)e[n].stop();return this}update(e){e*=this.timeScale;let t=this._actions,n=this._nActiveActions,i=this.time+=e,r=Math.sign(e),a=this._accuIndex^=1;for(let c=0;c!==n;++c)t[c]._update(i,e,r,a);let o=this._bindings,l=this._nActiveBindings;for(let c=0;c!==l;++c)o[c].apply(a);return this}setTime(e){this.time=0;for(let t=0;t<this._actions.length;t++)this._actions[t].time=0;return this.update(e)}getRoot(){return this._root}uncacheClip(e){let t=this._actions,n=e.uuid,i=this._actionsByClip,r=i[n];if(r!==void 0){let a=r.knownActions;for(let o=0,l=a.length;o!==l;++o){let c=a[o];this._deactivateAction(c);let h=c._cacheIndex,f=t[t.length-1];c._cacheIndex=null,c._byClipCacheIndex=null,f._cacheIndex=h,t[h]=f,t.pop(),this._removeInactiveBindingsForAction(c)}delete i[n]}}uncacheRoot(e){let t=e.uuid,n=this._actionsByClip;for(let a in n){let o=n[a].actionByRoot,l=o[t];l!==void 0&&(this._deactivateAction(l),this._removeInactiveAction(l))}let i=this._bindingsByRootAndName,r=i[t];if(r!==void 0)for(let a in r){let o=r[a];o.restoreOriginalState(),this._removeInactiveBinding(o)}}uncacheAction(e,t){let n=this.existingAction(e,t);n!==null&&(this._deactivateAction(n),this._removeInactiveAction(n))}},Ph=class s{constructor(e){this.value=e}clone(){return new s(this.value.clone===void 0?this.value:this.value.clone())}},iM=0,Lh=class extends Kt{constructor(){super(),this.isUniformsGroup=!0,Object.defineProperty(this,"id",{value:iM++}),this.name="",this.usage=ur,this.uniforms=[]}add(e){return this.uniforms.push(e),this}remove(e){let t=this.uniforms.indexOf(e);return t!==-1&&this.uniforms.splice(t,1),this}setName(e){return this.name=e,this}setUsage(e){return this.usage=e,this}dispose(){return this.dispatchEvent({type:"dispose"}),this}copy(e){this.name=e.name,this.usage=e.usage;let t=e.uniforms;this.uniforms.length=0;for(let n=0,i=t.length;n<i;n++){let r=Array.isArray(t[n])?t[n]:[t[n]];for(let a=0;a<r.length;a++)this.uniforms.push(r[a].clone())}return this}clone(){return new this.constructor().copy(this)}},Ih=class extends As{constructor(e,t,n=1){super(e,t),this.isInstancedInterleavedBuffer=!0,this.meshPerAttribute=n}copy(e){return super.copy(e),this.meshPerAttribute=e.meshPerAttribute,this}clone(e){let t=super.clone(e);return t.meshPerAttribute=this.meshPerAttribute,t}toJSON(e){let t=super.toJSON(e);return t.isInstancedInterleavedBuffer=!0,t.meshPerAttribute=this.meshPerAttribute,t}},Dh=class{constructor(e,t,n,i,r){this.isGLBufferAttribute=!0,this.name="",this.buffer=e,this.type=t,this.itemSize=n,this.elementSize=i,this.count=r,this.version=0}set needsUpdate(e){e===!0&&this.version++}setBuffer(e){return this.buffer=e,this}setType(e,t){return this.type=e,this.elementSize=t,this}setItemSize(e){return this.itemSize=e,this}setCount(e){return this.count=e,this}},Nh=class{constructor(e,t,n=0,i=1/0){this.ray=new _n(e,t),this.near=n,this.far=i,this.camera=null,this.layers=new Ms,this.params={Mesh:{},Line:{threshold:1},LOD:{},Points:{threshold:1},Sprite:{}}}set(e,t){this.ray.set(e,t)}setFromCamera(e,t){t.isPerspectiveCamera?(this.ray.origin.setFromMatrixPosition(t.matrixWorld),this.ray.direction.set(e.x,e.y,.5).unproject(t).sub(this.ray.origin).normalize(),this.camera=t):t.isOrthographicCamera?(this.ray.origin.set(e.x,e.y,(t.near+t.far)/(t.near-t.far)).unproject(t),this.ray.direction.set(0,0,-1).transformDirection(t.matrixWorld),this.camera=t):console.error("THREE.Raycaster: Unsupported camera type: "+t.type)}intersectObject(e,t=!0,n=[]){return Uh(e,this,n,t),n.sort(pf),n}intersectObjects(e,t=!0,n=[]){for(let i=0,r=e.length;i<r;i++)Uh(e[i],this,n,t);return n.sort(pf),n}};function pf(s,e){return s.distance-e.distance}function Uh(s,e,t,n){if(s.layers.test(e.layers)&&s.raycast(e,t),n===!0){let i=s.children;for(let r=0,a=i.length;r<a;r++)Uh(i[r],e,t,!0)}}var Is=class{constructor(e=1,t=0,n=0){return this.radius=e,this.phi=t,this.theta=n,this}set(e,t,n){return this.radius=e,this.phi=t,this.theta=n,this}copy(e){return this.radius=e.radius,this.phi=e.phi,this.theta=e.theta,this}makeSafe(){return this.phi=Math.max(1e-6,Math.min(Math.PI-1e-6,this.phi)),this}setFromVector3(e){return this.setFromCartesianCoords(e.x,e.y,e.z)}setFromCartesianCoords(e,t,n){return this.radius=Math.sqrt(e*e+t*t+n*n),this.radius===0?(this.theta=0,this.phi=0):(this.theta=Math.atan2(e,n),this.phi=Math.acos(ut(t/this.radius,-1,1))),this}clone(){return new this.constructor().copy(this)}},Oh=class{constructor(e=1,t=0,n=0){return this.radius=e,this.theta=t,this.y=n,this}set(e,t,n){return this.radius=e,this.theta=t,this.y=n,this}copy(e){return this.radius=e.radius,this.theta=e.theta,this.y=e.y,this}setFromVector3(e){return this.setFromCartesianCoords(e.x,e.y,e.z)}setFromCartesianCoords(e,t,n){return this.radius=Math.sqrt(e*e+n*n),this.theta=Math.atan2(e,n),this.y=t,this}clone(){return new this.constructor().copy(this)}},mf=new ne,Fh=class{constructor(e=new ne(1/0,1/0),t=new ne(-1/0,-1/0)){this.isBox2=!0,this.min=e,this.max=t}set(e,t){return this.min.copy(e),this.max.copy(t),this}setFromPoints(e){this.makeEmpty();for(let t=0,n=e.length;t<n;t++)this.expandByPoint(e[t]);return this}setFromCenterAndSize(e,t){let n=mf.copy(t).multiplyScalar(.5);return this.min.copy(e).sub(n),this.max.copy(e).add(n),this}clone(){return new this.constructor().copy(this)}copy(e){return this.min.copy(e.min),this.max.copy(e.max),this}makeEmpty(){return this.min.x=this.min.y=1/0,this.max.x=this.max.y=-1/0,this}isEmpty(){return this.max.x<this.min.x||this.max.y<this.min.y}getCenter(e){return this.isEmpty()?e.set(0,0):e.addVectors(this.min,this.max).multiplyScalar(.5)}getSize(e){return this.isEmpty()?e.set(0,0):e.subVectors(this.max,this.min)}expandByPoint(e){return this.min.min(e),this.max.max(e),this}expandByVector(e){return this.min.sub(e),this.max.add(e),this}expandByScalar(e){return this.min.addScalar(-e),this.max.addScalar(e),this}containsPoint(e){return!(e.x<this.min.x||e.x>this.max.x||e.y<this.min.y||e.y>this.max.y)}containsBox(e){return this.min.x<=e.min.x&&e.max.x<=this.max.x&&this.min.y<=e.min.y&&e.max.y<=this.max.y}getParameter(e,t){return t.set((e.x-this.min.x)/(this.max.x-this.min.x),(e.y-this.min.y)/(this.max.y-this.min.y))}intersectsBox(e){return!(e.max.x<this.min.x||e.min.x>this.max.x||e.max.y<this.min.y||e.min.y>this.max.y)}clampPoint(e,t){return t.copy(e).clamp(this.min,this.max)}distanceToPoint(e){return this.clampPoint(e,mf).distanceTo(e)}intersect(e){return this.min.max(e.min),this.max.min(e.max),this.isEmpty()&&this.makeEmpty(),this}union(e){return this.min.min(e.min),this.max.max(e.max),this}translate(e){return this.min.add(e),this.max.add(e),this}equals(e){return e.min.equals(this.min)&&e.max.equals(this.max)}},gf=new U,Oa=new U,Bh=class{constructor(e=new U,t=new U){this.start=e,this.end=t}set(e,t){return this.start.copy(e),this.end.copy(t),this}copy(e){return this.start.copy(e.start),this.end.copy(e.end),this}getCenter(e){return e.addVectors(this.start,this.end).multiplyScalar(.5)}delta(e){return e.subVectors(this.end,this.start)}distanceSq(){return this.start.distanceToSquared(this.end)}distance(){return this.start.distanceTo(this.end)}at(e,t){return this.delta(t).multiplyScalar(e).add(this.start)}closestPointToPointParameter(e,t){gf.subVectors(e,this.start),Oa.subVectors(this.end,this.start);let n=Oa.dot(Oa),r=Oa.dot(gf)/n;return t&&(r=ut(r,0,1)),r}closestPointToPoint(e,t,n){let i=this.closestPointToPointParameter(e,t);return this.delta(n).multiplyScalar(i).add(this.start)}applyMatrix4(e){return this.start.applyMatrix4(e),this.end.applyMatrix4(e),this}equals(e){return e.start.equals(this.start)&&e.end.equals(this.end)}clone(){return new this.constructor().copy(this)}},yf=new U,zh=class extends tt{constructor(e,t){super(),this.light=e,this.matrix=e.matrixWorld,this.matrixAutoUpdate=!1,this.color=t,this.type="SpotLightHelper";let n=new Ye,i=[0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,-1,0,1,0,0,0,0,1,1,0,0,0,0,-1,1];for(let a=0,o=1,l=32;a<l;a++,o++){let c=a/l*Math.PI*2,h=o/l*Math.PI*2;i.push(Math.cos(c),Math.sin(c),1,Math.cos(h),Math.sin(h),1)}n.setAttribute("position",new Pe(i,3));let r=new Lt({fog:!1,toneMapped:!1});this.cone=new sn(n,r),this.add(this.cone),this.update()}dispose(){this.cone.geometry.dispose(),this.cone.material.dispose()}update(){this.light.updateWorldMatrix(!0,!1),this.light.target.updateWorldMatrix(!0,!1);let e=this.light.distance?this.light.distance:1e3,t=e*Math.tan(this.light.angle);this.cone.scale.set(t,t,e),yf.setFromMatrixPosition(this.light.target.matrixWorld),this.cone.lookAt(yf),this.color!==void 0?this.cone.material.color.set(this.color):this.cone.material.color.copy(this.light.color)}},Kn=new U,Fa=new Be,tc=new Be,kh=class extends sn{constructor(e){let t=Wp(e),n=new Ye,i=[],r=[],a=new Se(0,0,1),o=new Se(0,1,0);for(let c=0;c<t.length;c++){let h=t[c];h.parent&&h.parent.isBone&&(i.push(0,0,0),i.push(0,0,0),r.push(a.r,a.g,a.b),r.push(o.r,o.g,o.b))}n.setAttribute("position",new Pe(i,3)),n.setAttribute("color",new Pe(r,3));let l=new Lt({vertexColors:!0,depthTest:!1,depthWrite:!1,toneMapped:!1,transparent:!0});super(n,l),this.isSkeletonHelper=!0,this.type="SkeletonHelper",this.root=e,this.bones=t,this.matrix=e.matrixWorld,this.matrixAutoUpdate=!1}updateMatrixWorld(e){let t=this.bones,n=this.geometry,i=n.getAttribute("position");tc.copy(this.root.matrixWorld).invert();for(let r=0,a=0;r<t.length;r++){let o=t[r];o.parent&&o.parent.isBone&&(Fa.multiplyMatrices(tc,o.matrixWorld),Kn.setFromMatrixPosition(Fa),i.setXYZ(a,Kn.x,Kn.y,Kn.z),Fa.multiplyMatrices(tc,o.parent.matrixWorld),Kn.setFromMatrixPosition(Fa),i.setXYZ(a+1,Kn.x,Kn.y,Kn.z),a+=2)}n.getAttribute("position").needsUpdate=!0,super.updateMatrixWorld(e)}dispose(){this.geometry.dispose(),this.material.dispose()}};function Wp(s){let e=[];s.isBone===!0&&e.push(s);for(let t=0;t<s.children.length;t++)e.push.apply(e,Wp(s.children[t]));return e}var Vh=class extends xt{constructor(e,t,n){let i=new Or(t,4,2),r=new xn({wireframe:!0,fog:!1,toneMapped:!1});super(i,r),this.light=e,this.color=n,this.type="PointLightHelper",this.matrix=this.light.matrixWorld,this.matrixAutoUpdate=!1,this.update()}dispose(){this.geometry.dispose(),this.material.dispose()}update(){this.light.updateWorldMatrix(!0,!1),this.color!==void 0?this.material.color.set(this.color):this.material.color.copy(this.light.color)}},sM=new U,_f=new Se,xf=new Se,Hh=class extends tt{constructor(e,t,n){super(),this.light=e,this.matrix=e.matrixWorld,this.matrixAutoUpdate=!1,this.color=n,this.type="HemisphereLightHelper";let i=new Ur(t);i.rotateY(Math.PI*.5),this.material=new xn({wireframe:!0,fog:!1,toneMapped:!1}),this.color===void 0&&(this.material.vertexColors=!0);let r=i.getAttribute("position"),a=new Float32Array(r.count*3);i.setAttribute("color",new et(a,3)),this.add(new xt(i,this.material)),this.update()}dispose(){this.children[0].geometry.dispose(),this.children[0].material.dispose()}update(){let e=this.children[0];if(this.color!==void 0)this.material.color.set(this.color);else{let t=e.geometry.getAttribute("color");_f.copy(this.light.color),xf.copy(this.light.groundColor);for(let n=0,i=t.count;n<i;n++){let r=n<i/2?_f:xf;t.setXYZ(n,r.r,r.g,r.b)}t.needsUpdate=!0}this.light.updateWorldMatrix(!0,!1),e.lookAt(sM.setFromMatrixPosition(this.light.matrixWorld).negate())}},Gh=class extends sn{constructor(e=10,t=10,n=4473924,i=8947848){n=new Se(n),i=new Se(i);let r=t/2,a=e/t,o=e/2,l=[],c=[];for(let p=0,m=0,g=-o;p<=t;p++,g+=a){l.push(-o,0,g,o,0,g),l.push(g,0,-o,g,0,o);let y=p===r?n:i;y.toArray(c,m),m+=3,y.toArray(c,m),m+=3,y.toArray(c,m),m+=3,y.toArray(c,m),m+=3}let h=new Ye;h.setAttribute("position",new Pe(l,3)),h.setAttribute("color",new Pe(c,3));let f=new Lt({vertexColors:!0,toneMapped:!1});super(h,f),this.type="GridHelper"}dispose(){this.geometry.dispose(),this.material.dispose()}},Wh=class extends sn{constructor(e=10,t=16,n=8,i=64,r=4473924,a=8947848){r=new Se(r),a=new Se(a);let o=[],l=[];if(t>1)for(let f=0;f<t;f++){let p=f/t*(Math.PI*2),m=Math.sin(p)*e,g=Math.cos(p)*e;o.push(0,0,0),o.push(m,0,g);let y=f&1?r:a;l.push(y.r,y.g,y.b),l.push(y.r,y.g,y.b)}for(let f=0;f<n;f++){let p=f&1?r:a,m=e-e/n*f;for(let g=0;g<i;g++){let y=g/i*(Math.PI*2),u=Math.sin(y)*m,d=Math.cos(y)*m;o.push(u,0,d),l.push(p.r,p.g,p.b),y=(g+1)/i*(Math.PI*2),u=Math.sin(y)*m,d=Math.cos(y)*m,o.push(u,0,d),l.push(p.r,p.g,p.b)}}let c=new Ye;c.setAttribute("position",new Pe(o,3)),c.setAttribute("color",new Pe(l,3));let h=new Lt({vertexColors:!0,toneMapped:!1});super(c,h),this.type="PolarGridHelper"}dispose(){this.geometry.dispose(),this.material.dispose()}},vf=new U,Ba=new U,Mf=new U,Xh=class extends tt{constructor(e,t,n){super(),this.light=e,this.matrix=e.matrixWorld,this.matrixAutoUpdate=!1,this.color=n,this.type="DirectionalLightHelper",t===void 0&&(t=1);let i=new Ye;i.setAttribute("position",new Pe([-t,t,0,t,t,0,t,-t,0,-t,-t,0,-t,t,0],3));let r=new Lt({fog:!1,toneMapped:!1});this.lightPlane=new vn(i,r),this.add(this.lightPlane),i=new Ye,i.setAttribute("position",new Pe([0,0,0,0,0,1],3)),this.targetLine=new vn(i,r),this.add(this.targetLine),this.update()}dispose(){this.lightPlane.geometry.dispose(),this.lightPlane.material.dispose(),this.targetLine.geometry.dispose(),this.targetLine.material.dispose()}update(){this.light.updateWorldMatrix(!0,!1),this.light.target.updateWorldMatrix(!0,!1),vf.setFromMatrixPosition(this.light.matrixWorld),Ba.setFromMatrixPosition(this.light.target.matrixWorld),Mf.subVectors(Ba,vf),this.lightPlane.lookAt(Ba),this.color!==void 0?(this.lightPlane.material.color.set(this.color),this.targetLine.material.color.set(this.color)):(this.lightPlane.material.color.copy(this.light.color),this.targetLine.material.color.copy(this.light.color)),this.targetLine.lookAt(Ba),this.targetLine.scale.z=Mf.length()}},za=new U,ht=new Ss,Yh=class extends sn{constructor(e){let t=new Ye,n=new Lt({color:16777215,vertexColors:!0,toneMapped:!1}),i=[],r=[],a={};o("n1","n2"),o("n2","n4"),o("n4","n3"),o("n3","n1"),o("f1","f2"),o("f2","f4"),o("f4","f3"),o("f3","f1"),o("n1","f1"),o("n2","f2"),o("n3","f3"),o("n4","f4"),o("p","n1"),o("p","n2"),o("p","n3"),o("p","n4"),o("u1","u2"),o("u2","u3"),o("u3","u1"),o("c","t"),o("p","c"),o("cn1","cn2"),o("cn3","cn4"),o("cf1","cf2"),o("cf3","cf4");function o(g,y){l(g),l(y)}function l(g){i.push(0,0,0),r.push(0,0,0),a[g]===void 0&&(a[g]=[]),a[g].push(i.length/3-1)}t.setAttribute("position",new Pe(i,3)),t.setAttribute("color",new Pe(r,3)),super(t,n),this.type="CameraHelper",this.camera=e,this.camera.updateProjectionMatrix&&this.camera.updateProjectionMatrix(),this.matrix=e.matrixWorld,this.matrixAutoUpdate=!1,this.pointMap=a,this.update();let c=new Se(16755200),h=new Se(16711680),f=new Se(43775),p=new Se(16777215),m=new Se(3355443);this.setColors(c,h,f,p,m)}setColors(e,t,n,i,r){let o=this.geometry.getAttribute("color");o.setXYZ(0,e.r,e.g,e.b),o.setXYZ(1,e.r,e.g,e.b),o.setXYZ(2,e.r,e.g,e.b),o.setXYZ(3,e.r,e.g,e.b),o.setXYZ(4,e.r,e.g,e.b),o.setXYZ(5,e.r,e.g,e.b),o.setXYZ(6,e.r,e.g,e.b),o.setXYZ(7,e.r,e.g,e.b),o.setXYZ(8,e.r,e.g,e.b),o.setXYZ(9,e.r,e.g,e.b),o.setXYZ(10,e.r,e.g,e.b),o.setXYZ(11,e.r,e.g,e.b),o.setXYZ(12,e.r,e.g,e.b),o.setXYZ(13,e.r,e.g,e.b),o.setXYZ(14,e.r,e.g,e.b),o.setXYZ(15,e.r,e.g,e.b),o.setXYZ(16,e.r,e.g,e.b),o.setXYZ(17,e.r,e.g,e.b),o.setXYZ(18,e.r,e.g,e.b),o.setXYZ(19,e.r,e.g,e.b),o.setXYZ(20,e.r,e.g,e.b),o.setXYZ(21,e.r,e.g,e.b),o.setXYZ(22,e.r,e.g,e.b),o.setXYZ(23,e.r,e.g,e.b),o.setXYZ(24,t.r,t.g,t.b),o.setXYZ(25,t.r,t.g,t.b),o.setXYZ(26,t.r,t.g,t.b),o.setXYZ(27,t.r,t.g,t.b),o.setXYZ(28,t.r,t.g,t.b),o.setXYZ(29,t.r,t.g,t.b),o.setXYZ(30,t.r,t.g,t.b),o.setXYZ(31,t.r,t.g,t.b),o.setXYZ(32,n.r,n.g,n.b),o.setXYZ(33,n.r,n.g,n.b),o.setXYZ(34,n.r,n.g,n.b),o.setXYZ(35,n.r,n.g,n.b),o.setXYZ(36,n.r,n.g,n.b),o.setXYZ(37,n.r,n.g,n.b),o.setXYZ(38,i.r,i.g,i.b),o.setXYZ(39,i.r,i.g,i.b),o.setXYZ(40,r.r,r.g,r.b),o.setXYZ(41,r.r,r.g,r.b),o.setXYZ(42,r.r,r.g,r.b),o.setXYZ(43,r.r,r.g,r.b),o.setXYZ(44,r.r,r.g,r.b),o.setXYZ(45,r.r,r.g,r.b),o.setXYZ(46,r.r,r.g,r.b),o.setXYZ(47,r.r,r.g,r.b),o.setXYZ(48,r.r,r.g,r.b),o.setXYZ(49,r.r,r.g,r.b),o.needsUpdate=!0}update(){let e=this.geometry,t=this.pointMap,n=1,i=1;ht.projectionMatrixInverse.copy(this.camera.projectionMatrixInverse),pt("c",t,e,ht,0,0,-1),pt("t",t,e,ht,0,0,1),pt("n1",t,e,ht,-n,-i,-1),pt("n2",t,e,ht,n,-i,-1),pt("n3",t,e,ht,-n,i,-1),pt("n4",t,e,ht,n,i,-1),pt("f1",t,e,ht,-n,-i,1),pt("f2",t,e,ht,n,-i,1),pt("f3",t,e,ht,-n,i,1),pt("f4",t,e,ht,n,i,1),pt("u1",t,e,ht,n*.7,i*1.1,-1),pt("u2",t,e,ht,-n*.7,i*1.1,-1),pt("u3",t,e,ht,0,i*2,-1),pt("cf1",t,e,ht,-n,0,1),pt("cf2",t,e,ht,n,0,1),pt("cf3",t,e,ht,0,-i,1),pt("cf4",t,e,ht,0,i,1),pt("cn1",t,e,ht,-n,0,-1),pt("cn2",t,e,ht,n,0,-1),pt("cn3",t,e,ht,0,-i,-1),pt("cn4",t,e,ht,0,i,-1),e.getAttribute("position").needsUpdate=!0}dispose(){this.geometry.dispose(),this.material.dispose()}};function pt(s,e,t,n,i,r,a){za.set(i,r,a).unproject(n);let o=e[s];if(o!==void 0){let l=t.getAttribute("position");for(let c=0,h=o.length;c<h;c++)l.setXYZ(o[c],za.x,za.y,za.z)}}var ka=new Et,qh=class extends sn{constructor(e,t=16776960){let n=new Uint16Array([0,1,1,2,2,3,3,0,4,5,5,6,6,7,7,4,0,4,1,5,2,6,3,7]),i=new Float32Array(24),r=new Ye;r.setIndex(new et(n,1)),r.setAttribute("position",new et(i,3)),super(r,new Lt({color:t,toneMapped:!1})),this.object=e,this.type="BoxHelper",this.matrixAutoUpdate=!1,this.update()}update(e){if(e!==void 0&&console.warn("THREE.BoxHelper: .update() has no longer arguments."),this.object!==void 0&&ka.setFromObject(this.object),ka.isEmpty())return;let t=ka.min,n=ka.max,i=this.geometry.attributes.position,r=i.array;r[0]=n.x,r[1]=n.y,r[2]=n.z,r[3]=t.x,r[4]=n.y,r[5]=n.z,r[6]=t.x,r[7]=t.y,r[8]=n.z,r[9]=n.x,r[10]=t.y,r[11]=n.z,r[12]=n.x,r[13]=n.y,r[14]=t.z,r[15]=t.x,r[16]=n.y,r[17]=t.z,r[18]=t.x,r[19]=t.y,r[20]=t.z,r[21]=n.x,r[22]=t.y,r[23]=t.z,i.needsUpdate=!0,this.geometry.computeBoundingSphere()}setFromObject(e){return this.object=e,this.update(),this}copy(e,t){return super.copy(e,t),this.object=e.object,this}dispose(){this.geometry.dispose(),this.material.dispose()}},Zh=class extends sn{constructor(e,t=16776960){let n=new Uint16Array([0,1,1,2,2,3,3,0,4,5,5,6,6,7,7,4,0,4,1,5,2,6,3,7]),i=[1,1,1,-1,1,1,-1,-1,1,1,-1,1,1,1,-1,-1,1,-1,-1,-1,-1,1,-1,-1],r=new Ye;r.setIndex(new et(n,1)),r.setAttribute("position",new Pe(i,3)),super(r,new Lt({color:t,toneMapped:!1})),this.box=e,this.type="Box3Helper",this.geometry.computeBoundingSphere()}updateMatrixWorld(e){let t=this.box;t.isEmpty()||(t.getCenter(this.position),t.getSize(this.scale),this.scale.multiplyScalar(.5),super.updateMatrixWorld(e))}dispose(){this.geometry.dispose(),this.material.dispose()}},Jh=class extends vn{constructor(e,t=1,n=16776960){let i=n,r=[1,-1,0,-1,1,0,-1,-1,0,1,1,0,-1,1,0,-1,-1,0,1,-1,0,1,1,0],a=new Ye;a.setAttribute("position",new Pe(r,3)),a.computeBoundingSphere(),super(a,new Lt({color:i,toneMapped:!1})),this.type="PlaneHelper",this.plane=e,this.size=t;let o=[1,1,0,-1,1,0,-1,-1,0,1,1,0,-1,-1,0,1,-1,0],l=new Ye;l.setAttribute("position",new Pe(o,3)),l.computeBoundingSphere(),this.add(new xt(l,new xn({color:i,opacity:.2,transparent:!0,depthWrite:!1,toneMapped:!1})))}updateMatrixWorld(e){this.position.set(0,0,0),this.scale.set(.5*this.size,.5*this.size,1),this.lookAt(this.plane.normal),this.translateZ(-this.plane.constant),super.updateMatrixWorld(e)}dispose(){this.geometry.dispose(),this.material.dispose(),this.children[0].geometry.dispose(),this.children[0].material.dispose()}},bf=new U,Va,nc,Kh=class extends tt{constructor(e=new U(0,0,1),t=new U(0,0,0),n=1,i=16776960,r=n*.2,a=r*.2){super(),this.type="ArrowHelper",Va===void 0&&(Va=new Ye,Va.setAttribute("position",new Pe([0,0,0,0,1,0],3)),nc=new Ps(0,.5,1,5,1),nc.translate(0,-.5,0)),this.position.copy(t),this.line=new vn(Va,new Lt({color:i,toneMapped:!1})),this.line.matrixAutoUpdate=!1,this.add(this.line),this.cone=new xt(nc,new xn({color:i,toneMapped:!1})),this.cone.matrixAutoUpdate=!1,this.add(this.cone),this.setDirection(e),this.setLength(n,r,a)}setDirection(e){if(e.y>.99999)this.quaternion.set(0,0,0,1);else if(e.y<-.99999)this.quaternion.set(1,0,0,0);else{bf.set(e.z,0,-e.x).normalize();let t=Math.acos(e.y);this.quaternion.setFromAxisAngle(bf,t)}}setLength(e,t=e*.2,n=t*.2){this.line.scale.set(1,Math.max(1e-4,e-t),1),this.line.updateMatrix(),this.cone.scale.set(n,t,n),this.cone.position.y=e,this.cone.updateMatrix()}setColor(e){this.line.material.color.set(e),this.cone.material.color.set(e)}copy(e){return super.copy(e,!1),this.line.copy(e.line),this.cone.copy(e.cone),this}dispose(){this.line.geometry.dispose(),this.line.material.dispose(),this.cone.geometry.dispose(),this.cone.material.dispose()}},$h=class extends sn{constructor(e=1){let t=[0,0,0,e,0,0,0,0,0,0,e,0,0,0,0,0,0,e],n=[1,0,0,1,.6,0,0,1,0,.6,1,0,0,0,1,0,.6,1],i=new Ye;i.setAttribute("position",new Pe(t,3)),i.setAttribute("color",new Pe(n,3));let r=new Lt({vertexColors:!0,toneMapped:!1});super(i,r),this.type="AxesHelper"}setColors(e,t,n){let i=new Se,r=this.geometry.attributes.color.array;return i.set(e),i.toArray(r,0),i.toArray(r,3),i.set(t),i.toArray(r,6),i.toArray(r,9),i.set(n),i.toArray(r,12),i.toArray(r,15),this.geometry.attributes.color.needsUpdate=!0,this}dispose(){this.geometry.dispose(),this.material.dispose()}},jh=class{constructor(){this.type="ShapePath",this.color=new Se,this.subPaths=[],this.currentPath=null}moveTo(e,t){return this.currentPath=new Oi,this.subPaths.push(this.currentPath),this.currentPath.moveTo(e,t),this}lineTo(e,t){return this.currentPath.lineTo(e,t),this}quadraticCurveTo(e,t,n,i){return this.currentPath.quadraticCurveTo(e,t,n,i),this}bezierCurveTo(e,t,n,i,r,a){return this.currentPath.bezierCurveTo(e,t,n,i,r,a),this}splineThru(e){return this.currentPath.splineThru(e),this}toShapes(e){function t(d){let _=[];for(let x=0,v=d.length;x<v;x++){let A=d[x],w=new zn;w.curves=A.curves,_.push(w)}return _}function n(d,_){let x=_.length,v=!1;for(let A=x-1,w=0;w<x;A=w++){let b=_[A],T=_[w],M=T.x-b.x,S=T.y-b.y;if(Math.abs(S)>Number.EPSILON){if(S<0&&(b=_[w],M=-M,T=_[A],S=-S),d.y<b.y||d.y>T.y)continue;if(d.y===b.y){if(d.x===b.x)return!0}else{let N=S*(d.x-b.x)-M*(d.y-b.y);if(N===0)return!0;if(N<0)continue;v=!v}}else{if(d.y!==b.y)continue;if(T.x<=d.x&&d.x<=b.x||b.x<=d.x&&d.x<=T.x)return!0}}return v}let i=gn.isClockWise,r=this.subPaths;if(r.length===0)return[];let a,o,l,c=[];if(r.length===1)return o=r[0],l=new zn,l.curves=o.curves,c.push(l),c;let h=!i(r[0].getPoints());h=e?!h:h;let f=[],p=[],m=[],g=0,y;p[g]=void 0,m[g]=[];for(let d=0,_=r.length;d<_;d++)o=r[d],y=o.getPoints(),a=i(y),a=e?!a:a,a?(!h&&p[g]&&g++,p[g]={s:new zn,p:y},p[g].s.curves=o.curves,h&&g++,m[g]=[]):m[g].push({h:o,p:y[0]});if(!p[0])return t(r);if(p.length>1){let d=!1,_=0;for(let x=0,v=p.length;x<v;x++)f[x]=[];for(let x=0,v=p.length;x<v;x++){let A=m[x];for(let w=0;w<A.length;w++){let b=A[w],T=!0;for(let M=0;M<p.length;M++)n(b.p,p[M].p)&&(x!==M&&_++,T?(T=!1,f[M].push(b)):d=!0);T&&f[x].push(b)}}_>0&&d===!1&&(m=f)}let u;for(let d=0,_=p.length;d<_;d++){l=p[d].s,c.push(l),u=m[d];for(let x=0,v=u.length;x<v;x++)l.holes.push(u[x].h)}return c}};typeof __THREE_DEVTOOLS__<"u"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("register",{detail:{revision:"160"}}));typeof window<"u"&&(window.__THREE__?console.warn("WARNING: Multiple instances of Three.js being imported."):window.__THREE__="160");var Xp={type:"change"},_u={type:"start"},Yp={type:"end"},dl=new _n,qp=new tn,rM=Math.cos(70*Yr.DEG2RAD),fl=class extends Kt{constructor(e,t){super(),this.object=e,this.domElement=t,this.domElement.style.touchAction="none",this.enabled=!0,this.target=new U,this.cursor=new U,this.minDistance=0,this.maxDistance=1/0,this.minZoom=0,this.maxZoom=1/0,this.minTargetRadius=0,this.maxTargetRadius=1/0,this.minPolarAngle=0,this.maxPolarAngle=Math.PI,this.minAzimuthAngle=-1/0,this.maxAzimuthAngle=1/0,this.enableDamping=!1,this.dampingFactor=.05,this.enableZoom=!0,this.zoomSpeed=1,this.enableRotate=!0,this.rotateSpeed=1,this.enablePan=!0,this.panSpeed=1,this.screenSpacePanning=!0,this.keyPanSpeed=7,this.zoomToCursor=!1,this.autoRotate=!1,this.autoRotateSpeed=2,this.keys={LEFT:"ArrowLeft",UP:"ArrowUp",RIGHT:"ArrowRight",BOTTOM:"ArrowDown"},this.mouseButtons={LEFT:oi.ROTATE,MIDDLE:oi.DOLLY,RIGHT:oi.PAN},this.touches={ONE:li.ROTATE,TWO:li.DOLLY_PAN},this.target0=this.target.clone(),this.position0=this.object.position.clone(),this.zoom0=this.object.zoom,this._domElementKeyEvents=null,this.getPolarAngle=function(){return o.phi},this.getAzimuthalAngle=function(){return o.theta},this.getDistance=function(){return this.object.position.distanceTo(this.target)},this.listenToKeyEvents=function(O){O.addEventListener("keydown",be),this._domElementKeyEvents=O},this.stopListenToKeyEvents=function(){this._domElementKeyEvents.removeEventListener("keydown",be),this._domElementKeyEvents=null},this.saveState=function(){n.target0.copy(n.target),n.position0.copy(n.object.position),n.zoom0=n.object.zoom},this.reset=function(){n.target.copy(n.target0),n.object.position.copy(n.position0),n.object.zoom=n.zoom0,n.object.updateProjectionMatrix(),n.dispatchEvent(Xp),n.update(),r=i.NONE},this.update=(function(){let O=new U,fe=new St().setFromUnitVectors(e.up,new U(0,1,0)),Le=fe.clone().invert(),Ae=new U,he=new St,z=new U,me=2*Math.PI;return function(Ue=null){let Ne=n.object.position;O.copy(Ne).sub(n.target),O.applyQuaternion(fe),o.setFromVector3(O),n.autoRotate&&r===i.NONE&&P(S(Ue)),n.enableDamping?(o.theta+=l.theta*n.dampingFactor,o.phi+=l.phi*n.dampingFactor):(o.theta+=l.theta,o.phi+=l.phi);let Ke=n.minAzimuthAngle,$e=n.maxAzimuthAngle;isFinite(Ke)&&isFinite($e)&&(Ke<-Math.PI?Ke+=me:Ke>Math.PI&&(Ke-=me),$e<-Math.PI?$e+=me:$e>Math.PI&&($e-=me),Ke<=$e?o.theta=Math.max(Ke,Math.min($e,o.theta)):o.theta=o.theta>(Ke+$e)/2?Math.max(Ke,o.theta):Math.min($e,o.theta)),o.phi=Math.max(n.minPolarAngle,Math.min(n.maxPolarAngle,o.phi)),o.makeSafe(),n.enableDamping===!0?n.target.addScaledVector(h,n.dampingFactor):n.target.add(h),n.target.sub(n.cursor),n.target.clampLength(n.minTargetRadius,n.maxTargetRadius),n.target.add(n.cursor),n.zoomToCursor&&w||n.object.isOrthographicCamera?o.radius=W(o.radius):o.radius=W(o.radius*c),O.setFromSpherical(o),O.applyQuaternion(Le),Ne.copy(n.target).add(O),n.object.lookAt(n.target),n.enableDamping===!0?(l.theta*=1-n.dampingFactor,l.phi*=1-n.dampingFactor,h.multiplyScalar(1-n.dampingFactor)):(l.set(0,0,0),h.set(0,0,0));let lt=!1;if(n.zoomToCursor&&w){let dt=null;if(n.object.isPerspectiveCamera){let Qe=O.length();dt=W(Qe*c);let Mt=Qe-dt;n.object.position.addScaledVector(v,Mt),n.object.updateMatrixWorld()}else if(n.object.isOrthographicCamera){let Qe=new U(A.x,A.y,0);Qe.unproject(n.object),n.object.zoom=Math.max(n.minZoom,Math.min(n.maxZoom,n.object.zoom/c)),n.object.updateProjectionMatrix(),lt=!0;let Mt=new U(A.x,A.y,0);Mt.unproject(n.object),n.object.position.sub(Mt).add(Qe),n.object.updateMatrixWorld(),dt=O.length()}else console.warn("WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled."),n.zoomToCursor=!1;dt!==null&&(this.screenSpacePanning?n.target.set(0,0,-1).transformDirection(n.object.matrix).multiplyScalar(dt).add(n.object.position):(dl.origin.copy(n.object.position),dl.direction.set(0,0,-1).transformDirection(n.object.matrix),Math.abs(n.object.up.dot(dl.direction))<rM?e.lookAt(n.target):(qp.setFromNormalAndCoplanarPoint(n.object.up,n.target),dl.intersectPlane(qp,n.target))))}else n.object.isOrthographicCamera&&(n.object.zoom=Math.max(n.minZoom,Math.min(n.maxZoom,n.object.zoom/c)),n.object.updateProjectionMatrix(),lt=!0);return c=1,w=!1,lt||Ae.distanceToSquared(n.object.position)>a||8*(1-he.dot(n.object.quaternion))>a||z.distanceToSquared(n.target)>0?(n.dispatchEvent(Xp),Ae.copy(n.object.position),he.copy(n.object.quaternion),z.copy(n.target),!0):!1}})(),this.dispose=function(){document.removeEventListener("keydown",pe,!0),document.removeEventListener("keyup",ve,!0),n.domElement.removeEventListener("contextmenu",je),n.domElement.removeEventListener("pointerdown",L),n.domElement.removeEventListener("pointercancel",k),n.domElement.removeEventListener("wheel",se),n.domElement.removeEventListener("pointermove",E),n.domElement.removeEventListener("pointerup",k),n._domElementKeyEvents!==null&&(n._domElementKeyEvents.removeEventListener("keydown",be),n._domElementKeyEvents=null)};let n=this,i={NONE:-1,ROTATE:0,DOLLY:1,PAN:2,TOUCH_ROTATE:3,TOUCH_PAN:4,TOUCH_DOLLY_PAN:5,TOUCH_DOLLY_ROTATE:6},r=i.NONE,a=1e-6,o=new Is,l=new Is,c=1,h=new U,f=new ne,p=new ne,m=new ne,g=new ne,y=new ne,u=new ne,d=new ne,_=new ne,x=new ne,v=new U,A=new ne,w=!1,b=[],T={},M=!1;function S(O){return O!==null?2*Math.PI/60*n.autoRotateSpeed*O:2*Math.PI/60/60*n.autoRotateSpeed}function N(O){let fe=Math.abs(O*.01);return Math.pow(.95,n.zoomSpeed*fe)}function P(O){l.theta-=O}function R(O){l.phi-=O}let C=(function(){let O=new U;return function(Le,Ae){O.setFromMatrixColumn(Ae,0),O.multiplyScalar(-Le),h.add(O)}})(),I=(function(){let O=new U;return function(Le,Ae){n.screenSpacePanning===!0?O.setFromMatrixColumn(Ae,1):(O.setFromMatrixColumn(Ae,0),O.crossVectors(n.object.up,O)),O.multiplyScalar(Le),h.add(O)}})(),B=(function(){let O=new U;return function(Le,Ae){let he=n.domElement;if(n.object.isPerspectiveCamera){let z=n.object.position;O.copy(z).sub(n.target);let me=O.length();me*=Math.tan(n.object.fov/2*Math.PI/180),C(2*Le*me/he.clientHeight,n.object.matrix),I(2*Ae*me/he.clientHeight,n.object.matrix)}else n.object.isOrthographicCamera?(C(Le*(n.object.right-n.object.left)/n.object.zoom/he.clientWidth,n.object.matrix),I(Ae*(n.object.top-n.object.bottom)/n.object.zoom/he.clientHeight,n.object.matrix)):(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - pan disabled."),n.enablePan=!1)}})();function H(O){n.object.isPerspectiveCamera||n.object.isOrthographicCamera?c/=O:(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."),n.enableZoom=!1)}function X(O){n.object.isPerspectiveCamera||n.object.isOrthographicCamera?c*=O:(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."),n.enableZoom=!1)}function V(O,fe){if(!n.zoomToCursor)return;w=!0;let Le=n.domElement.getBoundingClientRect(),Ae=O-Le.left,he=fe-Le.top,z=Le.width,me=Le.height;A.x=Ae/z*2-1,A.y=-(he/me)*2+1,v.set(A.x,A.y,1).unproject(n.object).sub(n.object.position).normalize()}function W(O){return Math.max(n.minDistance,Math.min(n.maxDistance,O))}function Y(O){f.set(O.clientX,O.clientY)}function te(O){V(O.clientX,O.clientX),d.set(O.clientX,O.clientY)}function G(O){g.set(O.clientX,O.clientY)}function $(O){p.set(O.clientX,O.clientY),m.subVectors(p,f).multiplyScalar(n.rotateSpeed);let fe=n.domElement;P(2*Math.PI*m.x/fe.clientHeight),R(2*Math.PI*m.y/fe.clientHeight),f.copy(p),n.update()}function ae(O){_.set(O.clientX,O.clientY),x.subVectors(_,d),x.y>0?H(N(x.y)):x.y<0&&X(N(x.y)),d.copy(_),n.update()}function ge(O){y.set(O.clientX,O.clientY),u.subVectors(y,g).multiplyScalar(n.panSpeed),B(u.x,u.y),g.copy(y),n.update()}function ue(O){V(O.clientX,O.clientY),O.deltaY<0?X(N(O.deltaY)):O.deltaY>0&&H(N(O.deltaY)),n.update()}function oe(O){let fe=!1;switch(O.code){case n.keys.UP:O.ctrlKey||O.metaKey||O.shiftKey?R(2*Math.PI*n.rotateSpeed/n.domElement.clientHeight):B(0,n.keyPanSpeed),fe=!0;break;case n.keys.BOTTOM:O.ctrlKey||O.metaKey||O.shiftKey?R(-2*Math.PI*n.rotateSpeed/n.domElement.clientHeight):B(0,-n.keyPanSpeed),fe=!0;break;case n.keys.LEFT:O.ctrlKey||O.metaKey||O.shiftKey?P(2*Math.PI*n.rotateSpeed/n.domElement.clientHeight):B(n.keyPanSpeed,0),fe=!0;break;case n.keys.RIGHT:O.ctrlKey||O.metaKey||O.shiftKey?P(-2*Math.PI*n.rotateSpeed/n.domElement.clientHeight):B(-n.keyPanSpeed,0),fe=!0;break}fe&&(O.preventDefault(),n.update())}function ye(O){if(b.length===1)f.set(O.pageX,O.pageY);else{let fe=Ee(O),Le=.5*(O.pageX+fe.x),Ae=.5*(O.pageY+fe.y);f.set(Le,Ae)}}function de(O){if(b.length===1)g.set(O.pageX,O.pageY);else{let fe=Ee(O),Le=.5*(O.pageX+fe.x),Ae=.5*(O.pageY+fe.y);g.set(Le,Ae)}}function Ce(O){let fe=Ee(O),Le=O.pageX-fe.x,Ae=O.pageY-fe.y,he=Math.sqrt(Le*Le+Ae*Ae);d.set(0,he)}function F(O){n.enableZoom&&Ce(O),n.enablePan&&de(O)}function re(O){n.enableZoom&&Ce(O),n.enableRotate&&ye(O)}function Q(O){if(b.length==1)p.set(O.pageX,O.pageY);else{let Le=Ee(O),Ae=.5*(O.pageX+Le.x),he=.5*(O.pageY+Le.y);p.set(Ae,he)}m.subVectors(p,f).multiplyScalar(n.rotateSpeed);let fe=n.domElement;P(2*Math.PI*m.x/fe.clientHeight),R(2*Math.PI*m.y/fe.clientHeight),f.copy(p)}function le(O){if(b.length===1)y.set(O.pageX,O.pageY);else{let fe=Ee(O),Le=.5*(O.pageX+fe.x),Ae=.5*(O.pageY+fe.y);y.set(Le,Ae)}u.subVectors(y,g).multiplyScalar(n.panSpeed),B(u.x,u.y),g.copy(y)}function j(O){let fe=Ee(O),Le=O.pageX-fe.x,Ae=O.pageY-fe.y,he=Math.sqrt(Le*Le+Ae*Ae);_.set(0,he),x.set(0,Math.pow(_.y/d.y,n.zoomSpeed)),H(x.y),d.copy(_);let z=(O.pageX+fe.x)*.5,me=(O.pageY+fe.y)*.5;V(z,me)}function Re(O){n.enableZoom&&j(O),n.enablePan&&le(O)}function xe(O){n.enableZoom&&j(O),n.enableRotate&&Q(O)}function L(O){n.enabled!==!1&&(b.length===0&&(n.domElement.setPointerCapture(O.pointerId),n.domElement.addEventListener("pointermove",E),n.domElement.addEventListener("pointerup",k)),qe(O),O.pointerType==="touch"?Fe(O):ee(O))}function E(O){n.enabled!==!1&&(O.pointerType==="touch"?ce(O):ie(O))}function k(O){ze(O),b.length===0&&(n.domElement.releasePointerCapture(O.pointerId),n.domElement.removeEventListener("pointermove",E),n.domElement.removeEventListener("pointerup",k)),n.dispatchEvent(Yp),r=i.NONE}function ee(O){let fe;switch(O.button){case 0:fe=n.mouseButtons.LEFT;break;case 1:fe=n.mouseButtons.MIDDLE;break;case 2:fe=n.mouseButtons.RIGHT;break;default:fe=-1}switch(fe){case oi.DOLLY:if(n.enableZoom===!1)return;te(O),r=i.DOLLY;break;case oi.ROTATE:if(O.ctrlKey||O.metaKey||O.shiftKey){if(n.enablePan===!1)return;G(O),r=i.PAN}else{if(n.enableRotate===!1)return;Y(O),r=i.ROTATE}break;case oi.PAN:if(O.ctrlKey||O.metaKey||O.shiftKey){if(n.enableRotate===!1)return;Y(O),r=i.ROTATE}else{if(n.enablePan===!1)return;G(O),r=i.PAN}break;default:r=i.NONE}r!==i.NONE&&n.dispatchEvent(_u)}function ie(O){switch(r){case i.ROTATE:if(n.enableRotate===!1)return;$(O);break;case i.DOLLY:if(n.enableZoom===!1)return;ae(O);break;case i.PAN:if(n.enablePan===!1)return;ge(O);break}}function se(O){n.enabled===!1||n.enableZoom===!1||r!==i.NONE||(O.preventDefault(),n.dispatchEvent(_u),ue(Te(O)),n.dispatchEvent(Yp))}function Te(O){let fe=O.deltaMode,Le={clientX:O.clientX,clientY:O.clientY,deltaY:O.deltaY};switch(fe){case 1:Le.deltaY*=16;break;case 2:Le.deltaY*=100;break}return O.ctrlKey&&!M&&(Le.deltaY*=10),Le}function pe(O){O.key==="Control"&&(M=!0,document.addEventListener("keyup",ve,{passive:!0,capture:!0}))}function ve(O){O.key==="Control"&&(M=!1,document.removeEventListener("keyup",ve,{passive:!0,capture:!0}))}function be(O){n.enabled===!1||n.enablePan===!1||oe(O)}function Fe(O){switch(De(O),b.length){case 1:switch(n.touches.ONE){case li.ROTATE:if(n.enableRotate===!1)return;ye(O),r=i.TOUCH_ROTATE;break;case li.PAN:if(n.enablePan===!1)return;de(O),r=i.TOUCH_PAN;break;default:r=i.NONE}break;case 2:switch(n.touches.TWO){case li.DOLLY_PAN:if(n.enableZoom===!1&&n.enablePan===!1)return;F(O),r=i.TOUCH_DOLLY_PAN;break;case li.DOLLY_ROTATE:if(n.enableZoom===!1&&n.enableRotate===!1)return;re(O),r=i.TOUCH_DOLLY_ROTATE;break;default:r=i.NONE}break;default:r=i.NONE}r!==i.NONE&&n.dispatchEvent(_u)}function ce(O){switch(De(O),r){case i.TOUCH_ROTATE:if(n.enableRotate===!1)return;Q(O),n.update();break;case i.TOUCH_PAN:if(n.enablePan===!1)return;le(O),n.update();break;case i.TOUCH_DOLLY_PAN:if(n.enableZoom===!1&&n.enablePan===!1)return;Re(O),n.update();break;case i.TOUCH_DOLLY_ROTATE:if(n.enableZoom===!1&&n.enableRotate===!1)return;xe(O),n.update();break;default:r=i.NONE}}function je(O){n.enabled!==!1&&O.preventDefault()}function qe(O){b.push(O.pointerId)}function ze(O){delete T[O.pointerId];for(let fe=0;fe<b.length;fe++)if(b[fe]==O.pointerId){b.splice(fe,1);return}}function De(O){let fe=T[O.pointerId];fe===void 0&&(fe=new ne,T[O.pointerId]=fe),fe.set(O.pageX,O.pageY)}function Ee(O){let fe=O.pointerId===b[0]?b[1]:b[0];return T[fe]}n.domElement.addEventListener("contextmenu",je),n.domElement.addEventListener("pointerdown",L),n.domElement.addEventListener("pointercancel",k),n.domElement.addEventListener("wheel",se,{passive:!1}),document.addEventListener("keydown",pe,{passive:!0,capture:!0}),this.update()}};function Zp({events:s,requestAnimationFrame:e,root:t,surface:n,view:i,sceneState:r}){function a(){var o=new Ts,l=new _t(50,1,.01,1e4);l.position.set(50,-50,70),l.up.set(0,0,1);var c=t.getElementById("viewer"),h=new ws({antialias:!0,alpha:!1,logarithmicDepthBuffer:!0});h.setPixelRatio(window.devicePixelRatio),h.setClearColor(1118481,1),c.appendChild(h.domElement);function f(){let V=new fl(l,h.domElement);return V.enableDamping=!0,V.dampingFactor=.1,V.screenSpacePanning=!0,V.minDistance=Number.EPSILON,V.maxDistance=1/0,V}var p=f(),m=new Ls(16777215,.5);o.add(m);var g=new Gi(16777215,.7);g.position.set(1,1,2),o.add(g);var y=new Gi(16777215,.3);y.position.set(-1,-1,.5),o.add(y);var u=Object.create(null),d=Object.create(null),_=new Et;function x(){var V=c.clientWidth,W=c.clientHeight;V===0||W===0||(l.aspect=V/W,l.updateProjectionMatrix(),h.setSize(V,W))}x();function v(){if(_.setFromObject(o),!_.isEmpty()){var V=new vt;_.getBoundingSphere(V);var W=l.position.distanceTo(V.center),Y=Math.max(V.radius,1),te=Math.max(Y*.1,1),G=Math.min(Math.max(Y*.001,.01),Math.max(l.position.distanceTo(p.target)*.001,.001)),$=Math.max(G,W-Y-te),ae=Math.max($+10,W+Y+te);(Math.abs(l.near-$)>$*.05||Math.abs(l.far-ae)>ae*.05)&&(l.near=$,l.far=ae,l.updateProjectionMatrix())}}function A(){e(A),p.update(),v(),i.viewMode==="3d"&&h.render(o,l)}A();function w(){v(),h.render(o,l)}function b(V,W){v();let Y=T(),te=l.clone();te.aspect=V/W,te.updateProjectionMatrix();let G=new Ht(1,1,{format:Ft,type:un,colorSpace:gt,samples:Math.min(4,h.capabilities.maxSamples||0)});return{camera:Y,renderTile($,ae,ge,ue){G.setSize(ge,ue),te.setViewOffset(V,W,$,ae,ge,ue),te.updateMatrixWorld();let oe=h.getRenderTarget();try{h.setRenderTarget(G),h.render(o,te);let ye=new Uint8Array(ge*ue*4);return h.readRenderTargetPixels(G,0,0,ge,ue,ye),ye}finally{h.setRenderTarget(oe)}},dispose(){G.dispose()}}}function T(){let V=W=>({x:W.x,y:W.y,z:W.z});return{position:V(l.position),target:V(p.target),up:V(l.up),fov:l.fov,space:"scene",unit:"um"}}function M(V){let W=p.enableDamping;p.enableDamping=!1;try{p.update(),l.position.set(V.position.x,V.position.y,V.position.z);let Y=new U(V.up.x,V.up.y,V.up.z).normalize();return l.up.equals(Y)||(p.dispose(),l.up.copy(Y),p=f(),p.enableDamping=!1,r.instance.controls=p),p.target.set(V.target.x,V.target.y,V.target.z),l.fov=V.fov,l.updateProjectionMatrix(),p.update(),w(),T()}finally{p.enableDamping=W}}function S(){return I?M(I):(P(),T())}function N(){H(),R=C=I=null,M({position:{x:50,y:-50,z:70},target:{x:0,y:0,z:0},up:{x:0,y:0,z:1},fov:50})}function P(){if(_.setFromObject(o),!_.isEmpty()){var V=new U;_.getCenter(V);var W=new vt;_.getBoundingSphere(W);var Y=new U;Y.subVectors(l.position,p.target).normalize(),Y.lengthSq()<.001&&Y.set(1,-1,1.4).normalize();var te=Yr.degToRad(l.fov/2),G=Math.atan(Math.tan(te)*l.aspect),$=W.radius/Math.sin(Math.min(te,G));l.position.copy(V).addScaledVector(Y,$),p.target.copy(V),v(),p.update()}}var R=null,C=null,I=null;function B(){R=l.position.clone(),C=p.target.clone(),I=T()}function H(){Lu(o,u,d)}function X(){var V=n.getAttribute("data-theme")==="light";h.setClearColor(V?15790320:1118481,1)}r.instance={scene:o,camera:l,renderer:h,controls:p,layerGroups:u,layerMaterials:d,sceneBBox:_,zoomFitCamera:P,saveDefaultView:B,defaultCameraPos:function(){return R},defaultTarget:function(){return C},clearScene:H,updateSceneBg:X,resizeRenderer:x,renderFrame:w,beginCapture:b,getCamera:T,setCamera:M,resetCamera:S,resetProjectCamera:N,THREE:yu,dispose:function(){Iu(H,p,h)}},s.dispatchEvent(new Event("three-ready"))}return{createScene:a}}function Jp({capture:s,clearAll:e,drawing:t,engine:n,localRequest:i,replacePortVisibility:r,root:a,setKwasmTheme:o,setMode:l,setTimeout:c,showToast:h,view:f,sceneState:p,work:m}){function g(){if(f.viewMode!=="3d"||!p.instance)throw Object.assign(new Error("Switch to 3D before using its camera"),{code:"VIEW_UNAVAILABLE"});return p.instance}async function y(d,_){switch(d.action){case"getCamera3d":return g().getCamera();case"setCamera3d":return g().setCamera(d.camera);case"fitCamera3d":{let x=g();return x.zoomFitCamera(),x.getCamera()}case"resetCamera3d":return g().resetCamera();case"capture":return s(d,_);case"selectTool":await l(d.tool,a.getElementById("btn-"+d.tool));break;case"drawLine":await n.addDrawLine(d.x1,d.y1,d.x2,d.y2);break;case"drawManhattan":await l("draw-manhattan",a.getElementById("btn-draw-manhattan")),t.drawStopPoint=d.stop||null,d.start&&(t.drawPrevX=d.start.x,t.drawPrevY=d.start.y,await n.addDrawDot(t.drawPrevX,t.drawPrevY),t.drawPoints=[d.start]);break;case"cancelDraw":case"clearDraw":await n.clearDrawMarkers(),await n.clearDrawGhost(),t.drawPrevX=t.drawPrevY=t.drawLastDir=t.drawStopPoint=t.routeSourcePort=null,t.drawPoints=[],t.routeCorners=[];break;case"clearAll":await e();break;case"showDanglingPorts":case"clearDanglingPorts":await r({top:f.portsVisible,instances:f.instancePortsVisible,dangling:d.action==="showDanglingPorts"}),a.getElementById("btn-dangling").classList.toggle("toggled",f.danglingPortsVisible);break;case"setPorts":await r({top:d.top,instances:d.instances,dangling:d.dangling}),a.getElementById("btn-ports").classList.toggle("toggled",f.portsVisible),a.getElementById("btn-all-ports").classList.toggle("toggled",f.instancePortsVisible),a.getElementById("btn-dangling").classList.toggle("toggled",f.danglingPortsVisible);break;case"highlightInstance":{let x=d.bbox,v=(x.x2-x.x1)*.2||.1,A=(x.y2-x.y1)*.2||.1;await n.zoomBox(x.x1-v,x.y1-A,x.x2+v,x.y2+A),await n.setHoverBbox(x.x1,x.y1,x.x2,x.y2),c(()=>m.background(()=>n.clearHoverBbox()),1200);break}case"setTheme":await o(d.theme);break;case"toast":h(d.message);break;default:throw Object.assign(new Error("Unsupported browser command"),{code:"UNKNOWN_ACTION"})}return{}}async function u(d){let _=await i({action:"loadLyp",lyp:await d.text()});_.status==="error"&&h(_.error.message)}return{browserCommand:y,loadLypFile:u}}function Kp({canvas:s,engine:e,getViewportBox:t,life:n,renderState:i,root:r,sceneState:a,surface:o,view:l}){function c(y,u){return Object.assign(new Error(u),{code:y})}function h(){if(!a.instance)throw c("VIEW_UNAVAILABLE","No 3D scene is available");return a.instance}function f(y){return y.throwIfAborted(),new Promise((u,d)=>{let _=()=>{n.clearTimeout(x),d(y.reason)},x=n.setTimeout(()=>{y.removeEventListener("abort",_),u()},0,!0);y.addEventListener("abort",_,{once:!0})})}function p(y){let u=[];for(let d=0;d<y.length;d+=49152)u.push(btoa(String.fromCharCode(...y.subarray(d,d+49152))));return u.join("")}async function m(y){let u=l.viewMode==="3d",d=u?h():null,_=u?d.renderer.domElement:s;if(_.width*_.height>4e6||!_.width||!_.height)throw c("CAPTURE_TOO_LARGE","Use explicit capture dimensions for images above 4 million pixels");if(d)d.renderFrame();else{let w=i.frameSequence||0;if(await e.requestRedraw(),await e.timer(),y.throwIfAborted(),(i.frameSequence||0)<=w)throw c("RENDER_FAILED","No fresh frame was produced")}let x=_.toDataURL("image/png").split(",")[1];if(x.length>22369624)throw c("CAPTURE_TOO_LARGE","Capture exceeds 16 MiB; use explicit capture dimensions");let v={width:_.width,height:_.height,devicePixelRatio:d?d.renderer.getPixelRatio():window.devicePixelRatio};if(d)return{mimeType:"image/png",encoding:"base64",data:x,view:"3d",camera:d.getCamera(),canvas:v};let A=await t();return y.throwIfAborted(),{mimeType:"image/png",encoding:"base64",data:x,viewport:{left:A.l,bottom:A.b,right:A.r,top:A.t,unit:"um",canvas:v}}}async function g(y,u){if(u.throwIfAborted(),y.width==null)return m(u);let _=l.viewMode==="3d"?h():null,x=o.inert,v=_?.controls.enabled,A=r.getElementById("loading-overlay"),w=n.pauseScheduledWork(),b;o.inert=!0,o.setAttribute("aria-busy","true"),i.capturing=!0,A.classList.remove("hidden"),_&&(_.controls.enabled=!1);try{let T=await e.captureBegin(y.width,y.height);u.throwIfAborted(),_&&(b=_.beginCapture(T.width,T.height));for(let P=0;P<T.height;P+=T.stripRows){u.throwIfAborted(),r.getElementById("loading-text").textContent=`Capturing ${P} / ${T.height} rows...`;let R=Math.min(T.stripRows,T.height-P);if(b){for(let C=0;C<T.width;C+=T.tileWidth){u.throwIfAborted();let I=Math.min(T.tileWidth,T.width-C),B=b.renderTile(C,P,I,R);await e.captureWriteTile(C,I,R,B)}u.throwIfAborted(),await e.captureCommitStrip()}else await e.captureRender2dStrip();await f(u)}let M=await e.captureFinish();u.throwIfAborted();let S=p(M),N={width:T.width,height:T.height,devicePixelRatio:1};return _?{mimeType:"image/png",encoding:"base64",data:S,view:"3d",camera:b.camera,canvas:N}:{mimeType:"image/png",encoding:"base64",data:S,viewport:{...T.viewport,canvas:N}}}finally{try{b?.dispose()}finally{try{n.destroyed||await e.captureCancel()}finally{_&&(_.controls.enabled=v),i.capturing=!1,o.inert=x,o.removeAttribute("aria-busy"),A.classList.add("hidden"),w()}}}}return{capture:g}}function $p({setLayerSearch:s,setCellTreeSearch:e,addConnectivityConnection:t,clearConnectivity:n,toggleConnectivityPanel:i,_closePanels:r,applyScaleZ:a,clearAll:o,downloadLyp:l,fitAll:c,hideAllLayers:h,hierDepthDec:f,hierDepthInc:p,hierDepthMax:m,navigateToTopCell:g,reload:y,resetKeyboardShortcuts:u,resetView:d,root:_,setMode:x,showAllLayers:v,toggleAllPorts:A,toggleCellTreePanel:w,toggleDanglingPorts:b,toggleEdges:T,toggleEmptyLayers:M,toggleFreezeDuringZoom:S,toggleInfo:N,toggleLayerPanel:P,togglePorts:R,toggleScaleZ:C,toggleShortcutsMenu:I,toggleText:B,toggleTheme:H,toggleToolbar:X,toggleViewMode:V,uploadLyp:W,zoomFit:Y,work:te}){let G={setLayerSearch:s,setCellTreeSearch:e,addConnectivityConnection:t,clearConnectivity:n,toggleConnectivityPanel:i,_closePanels:r,applyScaleZ:a,clearAll:o,downloadLyp:l,fitAll:c,hideAllLayers:h,hierDepthDec:f,hierDepthInc:p,hierDepthMax:m,navigateToTopCell:g,reload:y,resetKeyboardShortcuts:u,resetView:d,setMode:x,showAllLayers:v,toggleAllPorts:A,toggleCellTreePanel:w,toggleDanglingPorts:b,toggleEdges:T,toggleEmptyLayers:M,toggleFreezeDuringZoom:S,toggleInfo:N,toggleLayerPanel:P,togglePorts:R,toggleScaleZ:C,toggleShortcutsMenu:I,toggleText:B,toggleTheme:H,toggleToolbar:X,toggleViewMode:V,uploadLyp:W,zoomFit:Y},$=new Set(["clearAll","downloadLyp","fitAll","hideAllLayers","hierDepthDec","hierDepthInc","hierDepthMax","setMode","showAllLayers","toggleAllPorts","toggleDanglingPorts","toggleInfo","togglePorts","toggleText","toggleTheme"]);for(let ae of _.querySelectorAll("[data-click], [data-input]"))for(let ge of["click","input"]){if(!ae.hasAttribute("data-"+ge))continue;let[ue,oe]=ae.getAttribute("data-"+ge).split(":");if(ue==="stopPropagation"){ae.addEventListener(ge,ye=>ye.stopPropagation());continue}if(!G[ue])throw new Error("Unknown UI action: "+ue);ae.addEventListener(ge,()=>{let ye=()=>ue==="setMode"?G[ue](oe,ae):G[ue](ge==="input"?ae.value:ae);if($.has(ue))te.background(ye);else try{Promise.resolve(ye()).catch(te.report)}catch(de){te.report(de)}})}return{}}function jp({canvas:s,clearTimeout:e,coordOverlay:t,ctx:n,currentKwasmTheme:i,drawing:r,dropHint:a,engine:o,events:l,failGeometry:c,instanceOverlay:h,layerState:f,layersEl:p,life:m,localRequest:g,renderState:y,reply:u,requestAnimationFrame:d,requestIdleCallback:_,root:x,sceneState:v,setKwasmTheme:A,setTimeout:w,surface:b,toggleViewMode:T,topCellMetaOverlay:M,view:S,work:N}){let P={};return P.canvas=Au({canvas:s,clearTimeout:e,engine:o,renderState:y,setTimeout:w,view:S}),P.shortcuts=Cu({work:N,engine:o,getViewportBox:(...R)=>o.getViewportBox(...R),root:x,view:S,sceneState:v}),P.pixels=Ru({ctx:n,renderState:y}),P.raster=Pu({work:N,canvas:s,coordOverlay:t,drawing:r,dropHint:a,engine:o,events:l,getViewportBox:(...R)=>o.getViewportBox(...R),hierDepthApplyLoaded:(...R)=>P.toolbar.hierDepthApplyLoaded(...R),instanceOverlay:h,renderLayers:(...R)=>P.layers.renderLayers(...R),renderState:y,requestAnimationFrame:d,requestIdleCallback:_,root:x,setTimeout:w,updateTopCellMeta:(...R)=>P.toolbar.updateTopCellMeta(...R),view:S}),P.meshes=Du({engine:o,life:m,root:x,sceneState:v,showToast:(...R)=>P.notifications.showToast(...R)}),P.layers=Uu({work:N,engine:o,layerState:f,layersEl:p,showLayerContextMenu:(...R)=>P["layer-menu"].showLayerContextMenu(...R),view:S,sceneState:v}),P["layer-menu"]=Ou({work:N,engine:o,events:l,hideAllLayers:(...R)=>P.layers.hideAllLayers(...R),life:m,layerState:f,renderLayers:(...R)=>P.layers.renderLayers(...R),root:x,showAllLayers:(...R)=>P.layers.showAllLayers(...R),surface:b,view:S}),P.hierarchy=Bu({_updateBackdrop:(...R)=>P.panels._updateBackdrop(...R),life:m,localRequest:g,root:x,scheduleNetlistMatching:(...R)=>P.raster.scheduleNetlistMatching(...R),showToast:(...R)=>P.notifications.showToast(...R),view:S}),P.input=ku({work:N,_hierAtMax:(...R)=>P.toolbar._hierAtMax(...R),_markInteraction:(...R)=>P.canvas._markInteraction(...R),canvas:s,clearTimeout:e,coordOverlay:t,drawing:r,engine:o,handleKwasmShortcut:(...R)=>P.shortcuts.handleKwasmShortcut(...R),hierDepthDec:(...R)=>P.toolbar.hierDepthDec(...R),hierDepthInc:(...R)=>P.toolbar.hierDepthInc(...R),hierDepthMax:(...R)=>P.toolbar.hierDepthMax(...R),instanceOverlay:h,localRequest:g,onMouseIdle:(...R)=>P.raster.onMouseIdle(...R),reply:u,root:x,setTimeout:w,showToast:(...R)=>P.notifications.showToast(...R),surface:b,switchMode:(...R)=>o.switchMode(...R),view:S}),P.notifications=Vu({reply:u,root:x,setTimeout:w}),P.toolbar=Hu({_updateBackdrop:(...R)=>P.panels._updateBackdrop(...R),canvas:s,commitConfig:(...R)=>o.commitConfig(...R),currentKwasmTheme:i,drawing:r,engine:o,loadLypFile:(...R)=>P.commands.loadLypFile(...R),localRequest:g,renderState:y,root:x,setConfig:(...R)=>o.setConfig(...R),setKwasmTheme:A,showToast:(...R)=>P.notifications.showToast(...R),surface:b,switchMode:(...R)=>o.switchMode(...R),topCellMetaOverlay:M,view:S}),P["scene-tools"]=Gu({root:x,sceneState:v}),P.panels=Wu({root:x,toggleConnectivityPanel:(...R)=>P.connectivity.toggleConnectivityPanel(...R),toggleCellTreePanel:(...R)=>P.hierarchy.toggleCellTreePanel(...R),toggleLayerPanel:(...R)=>P.toolbar.toggleLayerPanel(...R)}),P.connectivity=Yu({root:x,localRequest:g,showToast:(...R)=>P.notifications.showToast(...R),_updateBackdrop:(...R)=>P.panels._updateBackdrop(...R)}),P.scene=Zp({events:l,requestAnimationFrame:d,root:x,surface:b,view:S,sceneState:v}),P.capture=Kp({canvas:s,engine:o,getViewportBox:(...R)=>o.getViewportBox(...R),life:m,renderState:y,root:x,sceneState:v,surface:b,view:S}),P.commands=Jp({work:N,capture:(...R)=>P.capture.capture(...R),clearAll:(...R)=>P.toolbar.clearAll(...R),drawing:r,engine:o,localRequest:g,replacePortVisibility:(...R)=>P.toolbar.replacePortVisibility(...R),root:x,setKwasmTheme:A,setMode:(...R)=>P.toolbar.setMode(...R),setTimeout:w,showToast:(...R)=>P.notifications.showToast(...R),view:S,sceneState:v}),P.actions=$p({setLayerSearch:(...R)=>P.layers.setLayerSearch(...R),setCellTreeSearch:(...R)=>P.hierarchy.setCellTreeSearch(...R),addConnectivityConnection:(...R)=>P.connectivity.addConnectivityConnection(...R),clearConnectivity:(...R)=>P.connectivity.clearConnectivity(...R),toggleConnectivityPanel:(...R)=>P.connectivity.toggleConnectivityPanel(...R),work:N,_closePanels:(...R)=>P.panels._closePanels(...R),applyScaleZ:(...R)=>P["scene-tools"].applyScaleZ(...R),clearAll:(...R)=>P.toolbar.clearAll(...R),downloadLyp:(...R)=>P.toolbar.downloadLyp(...R),fitAll:(...R)=>P.toolbar.fitAll(...R),hideAllLayers:(...R)=>P.layers.hideAllLayers(...R),hierDepthDec:(...R)=>P.toolbar.hierDepthDec(...R),hierDepthInc:(...R)=>P.toolbar.hierDepthInc(...R),hierDepthMax:(...R)=>P.toolbar.hierDepthMax(...R),navigateToTopCell:(...R)=>P.hierarchy.navigateToTopCell(...R),reload:(...R)=>P.toolbar.reload(...R),resetKeyboardShortcuts:(...R)=>P.shortcuts.resetKeyboardShortcuts(...R),resetView:(...R)=>P["scene-tools"].resetView(...R),root:x,setMode:(...R)=>P.toolbar.setMode(...R),showAllLayers:(...R)=>P.layers.showAllLayers(...R),toggleAllPorts:(...R)=>P.toolbar.toggleAllPorts(...R),toggleCellTreePanel:(...R)=>P.hierarchy.toggleCellTreePanel(...R),toggleDanglingPorts:(...R)=>P.toolbar.toggleDanglingPorts(...R),toggleEdges:(...R)=>P["scene-tools"].toggleEdges(...R),toggleEmptyLayers:(...R)=>P.layers.toggleEmptyLayers(...R),toggleFreezeDuringZoom:(...R)=>P.toolbar.toggleFreezeDuringZoom(...R),toggleInfo:(...R)=>P.toolbar.toggleInfo(...R),toggleLayerPanel:(...R)=>P.toolbar.toggleLayerPanel(...R),togglePorts:(...R)=>P.toolbar.togglePorts(...R),toggleScaleZ:(...R)=>P["scene-tools"].toggleScaleZ(...R),toggleShortcutsMenu:(...R)=>P.shortcuts.toggleShortcutsMenu(...R),toggleText:(...R)=>P.toolbar.toggleText(...R),toggleTheme:(...R)=>P.toolbar.toggleTheme(...R),toggleToolbar:(...R)=>P.toolbar.toggleToolbar(...R),toggleViewMode:T,uploadLyp:(...R)=>P.toolbar.uploadLyp(...R),zoomFit:(...R)=>P["scene-tools"].zoomFit(...R)}),{callbacks:{rweb_on_pixels_ready:P.pixels.onPixels,rweb_on_loaded:P.raster.onLoaded,rweb_on_mouse_coords:P.raster.onMouseCoords,rweb_on_netlist_loaded:P.raster.onNetlistLoaded,kwasm_add_layer_polygons:P.meshes.addLayerPolygons,kwasm_meshes_complete:P.meshes.completeGeometry,kwasm_geometry_failed:c},startGeometry:P.meshes.startGeometry,renderConnectivity:P.connectivity.renderConnectivity,createScene:P.scene.createScene,renderLayers:P.layers.renderLayers,resizeCanvas:P.canvas.resizeCanvas,showToast:P.notifications.showToast,browserCommand:P.commands.browserCommand,invalidateCellTree:P.hierarchy.invalidateCellTree,refreshAllPortMarkers:P.toolbar.refreshAllPortMarkers,resetProjectPresentation(){P.connectivity.renderConnectivity(),P.raster.clearNetlistPresentation(),v.instance?.resetProjectCamera(),v.sceneHasCamera=!1,v.geometryRevision=-1,v.currentZScale=1,v.edgesVisible=!0,f.layerSetKey=null,x.getElementById("layer-search-input").value="",P.layers.setLayerSearch("")}}}function Qp(){return{view:{initialized:!1,currentMode:"select",darkMode:!0,textVisible:!0,showEmptyLayers:!1,latestLayers:[],portsVisible:!1,instancePortsVisible:!1,danglingPortsVisible:!1,infoVisible:!1,layoutLoaded:!1,viewMode:"2d",initialGds:null},drawing:{routeSourcePort:null,routeCorners:[],moveStartInstance:null,lastLayoutX:0,lastLayoutY:0,lastClientX:0,lastClientY:0,selectStartClientX:null,selectStartClientY:null,drawPrevX:null,drawPrevY:null,drawLastDir:null,drawStopPoint:null,drawPoints:[],drawingFreehand:!1,freehandLastX:0,freehandLastY:0,freehandThreshold:1,hoverTimerId:null},renderState:{capturing:!1,frameSequence:0,firstPixel:!1,firstPaint:!1,timings:{},errorLogged:!1,renderedViewport:null,loopStarted:!1,_interacting:!1,_interactionTimer:null,INTERACTION_IDLE_MS:200,_lastRenderMs:0,freezeDuringZoom:!1},sceneState:{instance:null,sceneHasCamera:!1,geometryRevision:-1,geometryReadyResolve:null,geometryReadyReject:null,_layerstackGeneration:0,edgesVisible:!0,currentZScale:1},layerState:{collapsedGroups:Object.create(null),layerSetKey:null,searchQuery:""}}}var em=["rweb_on_pixels_ready","rweb_on_mouse_coords","rweb_on_loaded","rweb_on_netlist_loaded","kwasm_add_layer_polygons","kwasm_meshes_complete","kwasm_geometry_failed"],tm=["init","resize","timer","process","requestRedraw","commitConfig","viewportMeanUm","geometryRevision","prepareGeometry","cancelGeometry","processLayer","finishLayerstack","prepareNetlistMatches","refreshInstanceState","setLayerVisible","setAllLayersVisible","zoomBox","zoomFit","getLayoutDepth","setHierLevels","maxHier","clearAll","showPorts","showDanglingPorts","updatePortMarkers","clearRdbMarkers","clearNetTraceMarkers","showHoverBbox","setHoverBbox","clearHoverBbox","addDrawDot","addDrawLine","addDrawSegment","clearDrawMarkers","setDrawGhostLine","pushDrawGhostLine","clearDrawGhost","selectAt","deleteSelected","mouseMove","mousePress","mouseRelease","mouseDblclick","mouseEnter","mouseLeave","wheel","geometryError","findNearestDanglingPort","findNearestInstance","findNearestInstanceInfo","instanceMetaAt","topCellMeta","saveLyp","request","requestLoadGds","setConfig","setBackgroundColor","switchMode","getViewportBox","captureBegin","captureWriteTile","captureCommitStrip","captureRender2dStrip","captureFinish","captureCancel"];function pl(s,e=new Set){if(s instanceof ArrayBuffer)e.add(s);else if(ArrayBuffer.isView(s))e.add(s.buffer);else if(Array.isArray(s))for(let t of s)pl(t,e);else if(s&&typeof s=="object")for(let t of Object.values(s))pl(t,e);return[...e]}var aM=128,nm=1025*1024*1024,oM=new Set(["mouseMove","resize","timer","process"]),bn=(s,e)=>Object.assign(new Error(e),{code:s});function lM(s){return s.reduce((e,t)=>e+(typeof t=="string"?t.length*2:ArrayBuffer.isView(t)?t.byteLength:8),0)}function im({source:s,wasm:e,callbacks:t,onFatal:n=()=>{},createWorker:i=r=>new Worker(r)}){let r,a=!1,o=!1,l,c=0,h=0,f,p,m=[],g=new Promise((_,x)=>{f=_,p=x});function y(_,x=!1){if(a)return;a=!0;let v=r;r=void 0,v&&(v.onmessage=v.onerror=v.onmessageerror=null,v.terminate()),p(_),l?.reject(_),l=void 0;for(let A of m)A.reject(_);m.length=0,h=0,x&&n(_)}function u(){if(!(a||!o||l||!m.length)){l=m.shift();try{r.postMessage({type:"invoke",id:l.id,method:l.method,args:l.args},pl(l.args)),l.args=void 0}catch(_){y(_,!0)}}}function d(_,x){if(a)return Promise.reject(bn("DESTROYED","Native worker was destroyed"));let v=lM(x)-(_==="requestLoadGds"?8:0),A=m.at(-1);if(A?.method===_&&oM.has(_))return h-A.bytes+v>nm?Promise.reject(bn("QUEUE_FULL","Native worker byte budget exhausted")):(h+=v-A.bytes,A.bytes=v,A.args=x,A.promise);if(m.length+ +!!l>=aM||h+v>nm)return Promise.reject(bn("QUEUE_FULL","Native worker queue capacity exhausted"));let w,b,T=new Promise((M,S)=>{w=M,b=S});return m.push({id:++c,method:_,args:x,bytes:v,promise:T,resolve:w,reject:b}),h+=v,u(),T}try{r=i("data:text/javascript;charset=utf-8,"+encodeURIComponent(s)),r.onerror=_=>{_.preventDefault?.(),y(bn("ENGINE_ERROR",_.message||"Native worker failed"),!0)},r.onmessageerror=()=>y(bn("ENGINE_ERROR","Native worker message could not be decoded"),!0),r.onmessage=({data:_})=>{if(a)return;if(_.type==="fatal"){y(bn(_.error.code,_.error.message),!0);return}if(_.type==="ready"&&!o){o=!0,f(),u();return}if(_.type!=="result"||!l||_.id!==l.id){y(bn("ENGINE_ERROR","Native worker response is out of order"),!0);return}if(_.error?.fatal){y(bn(_.error.code,_.error.message),!0);return}let x=l;try{for(let{name:v,args:A}of _.notifications){if(a)return;t[v](...A)}if(a)return;_.error?x.reject(bn(_.error.code,_.error.message)):x.resolve(_.result)}catch(v){x.reject(v)}l=void 0,h-=x.bytes,u()},r.postMessage({type:"initialize",wasm:e})}catch(_){y(_)}return{...Object.fromEntries(tm.map(_=>[_,(...x)=>d(_,x)])),ready:g,dispose:()=>y(bn("DESTROYED","Native worker was destroyed"))}}function sm(s=console.error){let e=new WeakSet,t,n=!1,i=[],r=()=>Object.assign(new Error("Viewer was destroyed"),{code:"DESTROYED"});function a(){if(n||t||!i.length)return;let l=t=i.shift();Promise.resolve().then(()=>{if(n)throw r();if(l.cancelled)throw l.signal.reason;return l.started=!0,l.detach(),l.run()}).then(l.resolve,l.reject).finally(()=>{l.run=null,t===l&&(t=null),a()})}function o(l,c,h){if(n)return Promise.reject(r());if(h?.aborted)return Promise.reject(h.reason);let f=i.at(-1);if(!h&&!f?.signal&&c&&f?.key===c)return f.run=l,f.promise;if(i.length+ +!!t>=128)return Promise.reject(Object.assign(new Error("Viewer work queue is full"),{code:"QUEUE_FULL"}));let p,m,g=new Promise((u,d)=>{p=u,m=d}),y={run:l,key:c,promise:g,resolve:p,reject:m,signal:h,started:!1,cancelled:!1,detach:()=>{}};if(h){let u=()=>{if(y.started)return;y.cancelled=!0,y.run=null;let d=i.indexOf(y);d!==-1&&i.splice(d,1),y.detach(),m(h.reason)};y.detach=()=>h.removeEventListener("abort",u),h.addEventListener("abort",u,{once:!0})}return i.push(y),a(),g}return{submit:o,report(l){n||s(l)},background(l,c){let h=o(l,c);e.has(h)||(e.add(h),h.catch(f=>{n||s(f)}))},destroy(){if(!n){n=!0,t?.reject(r()),t?.detach();for(let l of i)l.detach(),l.run=null,l.reject(r());i.length=0,t=null}}}}function rm(s){let e=(n,i)=>{throw Object.assign(new Error(i),{code:n})},t=n=>typeof n=="string"||typeof n=="number"&&Number.isFinite(n);return s?.type!=="kwasm:request"&&e("INVALID_REQUEST","Expected kwasm:request"),s.version!==2&&e("UNSUPPORTED_VERSION","Expected protocol version 2"),(typeof s.viewerId!="string"||!s.viewerId)&&e("INVALID_REQUEST","viewerId must be a nonempty string"),t(s.requestId)||e("INVALID_REQUEST","requestId must be a string or number"),(s.action!=="cancelRequest"||!t(s.targetRequestId))&&e("INVALID_ARGUMENT","targetRequestId must be a string or number"),s.targetRequestId}function Sn(s,e){return Object.assign(new Error(e),{code:s})}function am({run:s,maxRequests:e=64,maxBytes:t=1074790400,deferredStart:n=!1}){let i=new Map,r=[],a=null,o=0,l=0,c=!1,h=!1;function f(m,g,y){if(m.done)return;m.done=!0;let u=i.get(m.owner);u.delete(m.id),u.size||i.delete(m.owner),o--,l-=m.bytes,m.payload=null,g?m.reject(g):m.resolve(y),m.resolve=m.reject=null}async function p(){if(!(h||c)){h=!0;try{for(;!c&&r.length;){let m=r.shift();a=m;try{let g=s(m.payload,m.controller.signal,()=>{m.started=!0});m.payload=null,f(m,null,await g)}catch(g){f(m,g)}finally{a=null}}}finally{h=!1}}}return{has(m,g){return i.get(m)?.has(g)??!1},submit(m,g,y,u=!1,d=void 0){if(c)return Promise.reject(Sn("DESTROYED","Viewer was destroyed"));if(typeof g!="string"&&!(typeof g=="number"&&Number.isFinite(g)))return Promise.reject(Sn("INVALID_REQUEST","requestId must be a string or finite number"));if(i.get(m)?.has(g))return Promise.reject(Sn("DUPLICATE_REQUEST","requestId is already outstanding for this sender"));let _=d??y.length*2;return!Number.isSafeInteger(_)||_<0?Promise.reject(Sn("INVALID_REQUEST","Request queue byte accounting must be a nonnegative integer")):_>t?Promise.reject(Sn("REQUEST_TOO_LARGE","Serialized request exceeds the queue byte budget")):o>=e||l+_>t?Promise.reject(Sn("QUEUE_FULL","Viewer request queue is full; retry after an outstanding request settles")):new Promise((x,v)=>{let A={owner:m,id:g,payload:y,bytes:_,cancellable:u,started:!n,resolve:x,reject:v,controller:new AbortController,done:!1};i.has(m)||i.set(m,new Map),i.get(m).set(g,A),o++,l+=_,r.push(A),queueMicrotask(p)})},cancel(m,g){let y=i.get(m)?.get(g);if(!y)return{cancelled:!1,state:"notFound"};if(y===a){if(!y.started){let u=Sn("CANCELLED","Request cancelled before execution");return y.controller.abort(u),f(y,u),{cancelled:!0,state:"queued"}}return y.cancellable?(y.controller.abort(Sn("CANCELLED","Request cancelled by its sender")),{cancelled:!0,state:"running"}):{cancelled:!1,state:"running"}}return r.splice(r.indexOf(y),1),f(y,Sn("CANCELLED","Request cancelled before execution")),{cancelled:!0,state:"queued"}},destroy(){if(c)return;c=!0;let m=Sn("DESTROYED","Viewer was destroyed");for(let g of r.splice(0))f(g,m);a&&(a.controller.abort(m),f(a,m))}}}function hM(s){if(s.action==="loadGds"&&typeof s.gds=="string"){let t;try{t=JSON.stringify(s,function(n,i){return this===s&&n==="gds"?"AA==":i})}catch{throw Object.assign(new Error("Request must be JSON serializable"),{code:"INVALID_REQUEST"})}if(t!==void 0)return{payload:{request:s,envelope:t},bytes:(t.length-4+s.gds.length)*2}}let e;try{e=JSON.stringify(s)}catch{throw Object.assign(new Error("Request must be JSON serializable"),{code:"INVALID_REQUEST"})}if(e===void 0)throw Object.assign(new Error("Request must be JSON serializable"),{code:"INVALID_REQUEST"});return{payload:e,bytes:e.length*2}}function om({allowedOrigins:s,engine:e,executeResult:t,life:n,view:i,viewerId:r,work:a}){let o=0,l={},c=new Map,h=am({deferredStart:!0,run:(u,d,_)=>a.submit(()=>(_(),g(u,d)),void 0,d)});function f(){h.destroy(),c.clear()}n.defer(f);function p(u){return m(l,{type:"kwasm:request",version:2,viewerId:r,requestId:++o,...u})}async function m(u,d){let _=hM(d);if(_.bytes>1074790400)throw Object.assign(new Error("Serialized request exceeds the queue byte budget"),{code:"REQUEST_TOO_LARGE"});if(d.action==="cancelRequest"){if(n.destroyed)throw Object.assign(new Error("Viewer was destroyed"),{code:"DESTROYED"});if(!i.initialized)throw Object.assign(new Error("Viewer is not ready"),{code:"NOT_INITIALIZED"});let x=rm(JSON.parse(_.payload));if(h.has(u,d.requestId))throw Object.assign(new Error("Cancellation needs its own unique requestId"),{code:"DUPLICATE_REQUEST"});return{type:"kwasm:response",version:2,viewerId:r,requestId:d.requestId,action:"cancelRequest",status:"ok",result:h.cancel(u,x)}}return h.submit(u,d.requestId,_.payload,["setView","capture"].includes(d.action),_.bytes)}async function g(u,d){if(d.throwIfAborted(),n.destroyed)throw Object.assign(new Error("Viewer was destroyed"),{code:"DESTROYED"});if(!i.initialized)throw Object.assign(new Error("Viewer is not ready"),{code:"NOT_INITIALIZED"});let _=typeof u=="string"?JSON.parse(u):u.request,x=typeof u=="string"?await e.request(u):await e.requestLoadGds(u.envelope,_.gds);return u=null,x.status==="error"?x:t(_,x,d)}function y(u,d,_){try{u?.postMessage(_,d==="null"?"*":d)}catch{}}return window.addEventListener("message",u=>{let d=u.data;if(!d||d.type!=="kwasm:request"||d.viewerId!==r||!s.includes(u.origin)||u.source!==window&&u.source!==window.parent)return;let{source:_,origin:x}=u;c.has(_)||c.set(_,new Map);let v=c.get(_);v.has(x)||v.set(x,{});let{requestId:A,action:w}=d;m(v.get(x),d).then(b=>y(_,x,b),b=>y(_,x,{type:"kwasm:response",version:2,viewerId:r,requestId:A,action:w,status:"error",error:{code:b.code||"INTERNAL_ERROR",message:b.message}}))},{signal:n.signal}),{destroy:f,localRequest:p}}function lm(){let s=!1,e=new Set,t=new Set,n=new Set,i=new Set,r=new AbortController,a=[],o=new Map,l=0;function c(h,f){s||(l?o.set(h,f):f())}return{signal:r.signal,get destroyed(){return s},defer(h){s?h():a.push(h)},pauseScheduledWork(){if(s)return()=>{};l++;let h=!1;return()=>{if(!h&&(h=!0,!(--l||s)))for(let[f,p]of o)o.delete(f),queueMicrotask(()=>c(f,p))}},setTimeout(h,f=0,p=!1){if(s)return 0;let m=window.setTimeout(()=>{let g=()=>{!e.delete(m)||s||h()};p?g():c(`timeout:${m}`,g)},f);return e.add(m),m},clearTimeout(h){window.clearTimeout(h),e.delete(h),o.delete(`timeout:${h}`)},setInterval(h,f){if(s)return 0;let p=window.setInterval(()=>{c(`interval:${p}`,()=>{t.has(p)&&h()})},f);return t.add(p),p},clearInterval(h){window.clearInterval(h),t.delete(h),o.delete(`interval:${h}`)},requestAnimationFrame(h){if(s)return 0;let f=window.requestAnimationFrame(p=>{c(`frame:${f}`,()=>{n.delete(f)&&h(p)})});return n.add(f),f},cancelAnimationFrame(h){window.cancelAnimationFrame(h),n.delete(h),o.delete(`frame:${h}`)},requestIdleCallback(h,f){if(s)return 0;if(!window.requestIdleCallback){let m=window.setTimeout(()=>{c(`timeout:${m}`,()=>{e.delete(m)&&h()})},0);return e.add(m),m}let p=window.requestIdleCallback(m=>{c(`idle:${p}`,()=>{i.delete(p)&&h(m)})},f);return i.add(p),p},destroy(){if(!s){s=!0,r.abort();for(let h of e)window.clearTimeout(h);for(let h of t)window.clearInterval(h);for(let h of n)window.cancelAnimationFrame(h);for(let h of i)window.cancelIdleCallback(h);e.clear(),t.clear(),n.clear(),i.clear(),o.clear();for(let h of a.splice(0).reverse())try{h()}catch(f){console.error("kwasm cleanup failed",f)}}}}}function cm(s,e,t,n){return n.defer(()=>{t=null}),Object.freeze({viewerId:s,ready:e,destroy(){t?.()}})}var uM="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",dM=`<div id="viewer-2d-container" class="viewer-container"><!-- Main content: viewer (full viewport) -->
<div class="main-content">
  <div class="viewer">
    <canvas id="layout_canvas"></canvas>
    <div class="drop-hint" id="drop-hint">Drop a GDS/GDSII/LYP/LYRDB file</div>
    <div class="coord-overlay" id="coord-overlay"></div>
    <div class="instance-overlay" id="instance-overlay"></div>
    <div class="top-cell-meta-overlay" id="top-cell-meta-overlay"></div>
    <div class="netlist-badge" id="netlist-badge">netlist</div>
    <div class="context-menu" id="context-menu">
      <div class="context-menu-item" id="ctx-highlight-schematic">Highlight in schematic</div>
    </div>
  </div>
</div>
</div><div id="viewer-3d-container" class="viewer-container"><div class="viewer" id="viewer">
  <div class="loading-overlay" id="loading-overlay">
    <div class="loading-content">
      <div id="loading-text">Loading...</div>
      <div class="loading-progress" id="loading-progress">
        <div class="loading-progress-bar" id="loading-progress-bar"></div>
      </div>
    </div>
  </div>
  <div class="status-overlay" id="status-overlay"></div>
</div>
</div><!-- Drop overlay (shown during drag) -->
<div class="drop-overlay" id="drop-overlay">
  <div class="drop-overlay-inner">Drop file here</div>
</div>

<!-- Viewer toolbar (bottom center) -->
<div class="toolbar" id="toolbar">
  <div class="toolbar-inner">
    <!-- 2D-only tools -->
    <span class="toolbar-group toolbar-group-2d">
      <button
        class="toolbar-btn active"
        id="btn-select"
        data-tool="select"
        title="Select"
        data-click="setMode:select"
      >
        <i class="fas fa-arrow-pointer"></i>
      </button>
      <button
        class="toolbar-btn"
        id="btn-move"
        data-tool="move"
        title="Move"
        data-click="setMode:move"
      >
        <i class="fas fa-up-down-left-right"></i>
      </button>
      <button
        class="toolbar-btn"
        id="btn-ruler"
        data-tool="ruler"
        title="Ruler"
        data-click="setMode:ruler"
      >
        <i class="fas fa-ruler"></i>
      </button>
      <button
        class="toolbar-btn"
        id="btn-net-tracer"
        data-tool="net-tracer"
        title="Trace Net"
        data-click="setMode:net-tracer"
      >
        <i class="fas fa-diagram-project"></i>
      </button>
      <button class="toolbar-btn" data-tool="clear-all" title="Clear All" data-click="clearAll">
        <i class="fas fa-eraser"></i>
      </button>
      <button class="toolbar-btn" data-tool="fit-all" title="Fit All" data-click="fitAll">
        <i class="fas fa-expand"></i>
      </button>
      <button class="toolbar-btn" data-tool="reload" title="Reload" data-click="reload">
        <i class="fas fa-rotate-right"></i>
      </button>

      <div class="hier-depth-widget" data-tool="hier-depth" title="Hierarchy depth">
        <button
          class="toolbar-btn hier-btn"
          id="btn-hier-dec"
          data-click="hierDepthDec"
          title="Decrease hierarchy depth"
        >
          \u2212
        </button>
        <span
          class="hier-depth-label"
          id="hier-depth-label"
          data-click="hierDepthMax"
          title="Click to show full hierarchy"
          >\u221E</span
        >
        <button
          class="toolbar-btn hier-btn"
          id="btn-hier-inc"
          data-click="hierDepthInc"
          title="Increase hierarchy depth"
        >
          +
        </button>
      </div>

      <div class="toolbar-sep" id="toolbar-group-sep-2d"></div>

      <button
        class="toolbar-btn"
        id="btn-ports"
        data-tool="top-ports"
        title="Toggle Top-Level Ports"
        data-click="togglePorts"
      >
        <i class="fas fa-circle-dot"></i>
      </button>
      <button
        class="toolbar-btn"
        id="btn-all-ports"
        data-tool="instance-ports"
        title="Toggle Instance Ports"
        data-click="toggleAllPorts"
      >
        <i class="fas fa-braille"></i>
      </button>
      <button
        class="toolbar-btn"
        id="btn-dangling"
        data-tool="dangling-ports"
        title="Toggle Dangling Ports"
        data-click="toggleDanglingPorts"
      >
        <i class="fas fa-plug-circle-exclamation"></i>
      </button>
      <button
        class="toolbar-btn toggled"
        id="btn-text"
        data-tool="text"
        title="Toggle Text"
        data-click="toggleText"
      >
        <i class="fas fa-font"></i>
      </button>
      <button
        class="toolbar-btn"
        id="btn-info"
        data-tool="info"
        title="Toggle Info"
        data-click="toggleInfo"
      >
        <i class="fas fa-tags"></i>
      </button>
      <button
        class="toolbar-btn"
        id="btn-freeze-zoom"
        data-tool="freeze-zoom"
        title="Freeze rendering while zooming (for large layouts)"
        data-click="toggleFreezeDuringZoom"
      >
        <i class="fas fa-snowflake"></i>
      </button>
    </span>

    <!-- 3D-only tools -->
    <span class="toolbar-group toolbar-group-3d">
      <button
        class="toolbar-btn"
        id="btn-zoom-fit"
        data-tool="zoom-fit"
        title="Zoom Fit"
        data-click="zoomFit"
      >
        <i class="fas fa-expand"></i>
      </button>
      <button
        class="toolbar-btn"
        id="btn-reset-view"
        data-tool="reset-view"
        title="Reset View"
        data-click="resetView"
      >
        <i class="fas fa-house"></i>
      </button>
      <button
        class="toolbar-btn"
        id="btn-scale-z"
        data-tool="scale-z"
        title="Scale Z"
        data-click="toggleScaleZ"
      >
        <i class="fas fa-arrows-up-down"></i>
        <div class="toolbar-popup" id="scale-z-popup">
          <label>Z Scale</label>
          <input
            type="range"
            min="0.1"
            max="20"
            step="0.1"
            value="1"
            data-input="applyScaleZ"
            data-click="stopPropagation"
          />
          <span id="scale-z-value">1.0x</span>
        </div>
      </button>

      <div class="toolbar-sep" id="toolbar-group-sep-3d"></div>

      <button
        class="toolbar-btn toggled"
        id="btn-edges"
        data-tool="edges"
        title="Toggle Edges"
        data-click="toggleEdges"
      >
        <i class="fas fa-vector-square"></i>
      </button>
    </span>

    <!-- Shared tools -->
    <button
      class="toolbar-btn"
      id="btn-theme"
      data-tool="theme"
      title="Switch to Light Mode"
      data-click="toggleTheme"
    >
      <i class="fas fa-sun" id="theme-icon"></i>
    </button>

    <!-- 2D/3D toggle -->
    <button
      class="toolbar-btn"
      id="btn-toggle-3d"
      data-tool="toggle-3d"
      title="Switch to 3D view"
      data-click="toggleViewMode"
    >
      <i class="fas fa-cube" id="toggle-3d-icon"></i>
    </button>
    <div class="toolbar-sep"></div>
    <button class="toolbar-toggle" title="Collapse Toolbar" data-click="toggleToolbar">
      <i class="fas fa-chevron-down" id="toolbar-toggle-icon"></i>
    </button>
  </div>
</div>

<div class="toast-container" id="toast-container"></div>
<div class="panel-backdrop" id="panel-backdrop" data-click="_closePanels"></div><!-- Cell tree tab (always visible on right edge) -->
<div class="cell-tree-tab" id="cell-tree-tab" title="Cells" data-click="toggleCellTreePanel">
  <i class="fas fa-sitemap"></i>
</div>

<!-- Cell tree panel (overlay, hidden by default) -->
<div class="cell-tree-panel" id="cell-tree-panel">
  <div class="cell-tree-panel-header">
    <i class="fas fa-sitemap"></i>
    <h3>Cells</h3>
    <button class="cell-tree-panel-close" data-click="toggleCellTreePanel">
      <i class="fas fa-xmark"></i>
    </button>
  </div>
  <div class="cell-tree-actions">
    <button
      class="cell-tree-action-btn u-hidden"
      id="cell-tree-back"
      data-click="navigateToTopCell"
    >
      <i class="fas fa-arrow-up"></i> Back to top
    </button>
  </div>
  <div class="panel-search">
    <label class="sr-only" for="cell-tree-search-input">Search cells</label>
    <i class="fas fa-magnifying-glass" aria-hidden="true"></i>
    <input
      id="cell-tree-search-input"
      type="search"
      placeholder="Search cells"
      autocomplete="off"
      data-input="setCellTreeSearch"
    />
  </div>
  <div class="cell-tree-panel-list" id="cell-tree"></div>
  <div class="cell-tree-panel-list u-hidden" id="cell-tree-search-results" aria-live="polite"></div>
</div>

<!-- Layer panel tab (always visible on right edge) -->
<div class="layer-tab" id="layer-tab" title="Layers" data-click="toggleLayerPanel">
  <i class="fas fa-layer-group"></i>
</div>

<!-- Layer panel (overlay, hidden by default) -->
<div class="layer-panel" id="layer-panel">
  <div class="layer-panel-header">
    <i class="fas fa-layer-group"></i>
    <h3>Layers</h3>
    <button class="layer-panel-close" data-click="toggleLayerPanel">
      <i class="fas fa-xmark"></i>
    </button>
  </div>
  <div class="layer-actions">
    <button class="layer-action-btn" data-click="showAllLayers">Show All</button>
    <button class="layer-action-btn" data-click="hideAllLayers">Hide All</button>
    <button class="layer-action-btn" id="btn-empty-layers" data-click="toggleEmptyLayers">
      Show Empty
    </button>
    <button class="layer-action-btn" data-click="uploadLyp" title="Load .lyp file">
      <i class="fas fa-upload"></i>
    </button>
    <button class="layer-action-btn" data-click="downloadLyp" title="Download .lyp file">
      <i class="fas fa-download"></i>
    </button>
  </div>
  <div class="panel-search">
    <label class="sr-only" for="layer-search-input">Search layers</label>
    <i class="fas fa-magnifying-glass" aria-hidden="true"></i>
    <input
      id="layer-search-input"
      type="search"
      placeholder="Search layers"
      autocomplete="off"
      data-input="setLayerSearch"
    />
  </div>
  <div class="layer-panel-list" id="layers"></div>
</div>

<!-- Net tracer defaults and successfully installed cross-layer rules -->
<div
  class="connectivity-tab"
  id="connectivity-tab"
  title="Connectivity"
  data-click="toggleConnectivityPanel"
>
  <i class="fas fa-diagram-project"></i>
</div>

<div class="connectivity-panel" id="connectivity-panel">
  <div class="connectivity-panel-header">
    <i class="fas fa-diagram-project"></i>
    <h3>Connectivity</h3>
    <button class="connectivity-panel-close" data-click="toggleConnectivityPanel" title="Close">
      <i class="fas fa-xmark"></i>
    </button>
  </div>
  <div class="connectivity-panel-list" id="connectivity-list"></div>
  <div class="connectivity-editor">
    <h4>Add connection</h4>
    <div class="connectivity-editor-fields">
      <input
        type="text"
        id="connectivity-layer-a"
        class="connectivity-editor-input"
        placeholder="metal1"
        title="First layer: a symbol name or a layer/datatype expression"
        autocomplete="off"
      />
      <input
        type="text"
        id="connectivity-via"
        class="connectivity-editor-input"
        placeholder="via (optional)"
        title="Optional via layer between the two layers"
        autocomplete="off"
      />
      <input
        type="text"
        id="connectivity-layer-b"
        class="connectivity-editor-input"
        placeholder="metal2"
        title="Second layer: a symbol name or a layer/datatype expression"
        autocomplete="off"
      />
    </div>
    <div class="connectivity-editor-actions">
      <button
        type="button"
        class="connectivity-editor-btn"
        data-click="addConnectivityConnection"
        title="Install this connection"
      >
        Add
      </button>
      <button
        type="button"
        class="connectivity-editor-btn"
        data-click="clearConnectivity"
        title="Remove all rules and restore same-layer defaults"
      >
        Clear
      </button>
    </div>
  </div>
</div>

<div class="shortcuts-menu" id="shortcuts-menu">
  <button
    class="shortcuts-toggle"
    type="button"
    title="Keyboard shortcuts"
    aria-expanded="false"
    data-click="toggleShortcutsMenu"
  >
    <i class="fas fa-keyboard"></i>
  </button>
  <section class="shortcuts-popover" aria-label="Keyboard shortcuts">
    <div class="shortcuts-header">
      <strong>Keyboard shortcuts</strong
      ><button type="button" data-click="resetKeyboardShortcuts">Reset</button>
    </div>
    <p>Click a binding, then press its new key combination.</p>
    <label>Pan up <input data-shortcut="panUp" readonly /></label>
    <label>Pan down <input data-shortcut="panDown" readonly /></label>
    <label>Pan left <input data-shortcut="panLeft" readonly /></label>
    <label>Pan right <input data-shortcut="panRight" readonly /></label>
    <label>Zoom in <input data-shortcut="zoomIn" readonly /></label>
    <label>Zoom out <input data-shortcut="zoomOut" readonly /></label>
    <label>Show menu <input data-shortcut="showMenu" readonly /></label>
  </section>
</div>
`,fM=`/* ============================================================
 * Design Tokens \u2014 Dark (default)
 * ============================================================ */
.kwasm-surface {
  --bg-base: #1e1e1e;
  --bg-surface: #252526;
  --bg-card: #2d2d2d;
  --bg-card-hover: #333333;
  --layer-card-bg-active: #33363a;
  --layer-card-bg-active-hover: #3b3f44;
  --layer-card-bg-muted: #27292c;
  --layer-card-bg-muted-hover: #2d3034;
  --bg-input: #3c3c3c;
  --bg-canvas: #111111;

  --fg: #cccccc;
  --fg-muted: #808080;
  --fg-heading: #3794ff;

  --border: #3e3e3e;
  --border-focus: #007fd4;

  --accent: #0078d4;
  --accent-hover: #1a8adb;
  --accent-fg: #ffffff;

  --btn-fg: #cccccc;
  --btn-hover: #45494e;

  --toggle-on: rgba(0, 120, 212, 0.25);
  --toggle-on-border: var(--accent);

  --radius: 4px;
  --font: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
}

/* ============================================================
 * Design Tokens \u2014 Light
 * ============================================================ */
.kwasm-surface[data-theme="light"] {
  --bg-base: #ffffff;
  --bg-surface: #f3f3f3;
  --bg-card: #ffffff;
  --bg-card-hover: #e8e8e8;
  --layer-card-bg-active: #ffffff;
  --layer-card-bg-active-hover: #f7f9fb;
  --layer-card-bg-muted: #eceff2;
  --layer-card-bg-muted-hover: #e5e9ee;
  --bg-input: #ffffff;
  --bg-canvas: #ffffff;

  --fg: #1e1e1e;
  --fg-muted: #666666;
  --fg-heading: #0066b8;

  --border: #d4d4d4;
  --border-focus: #0078d4;

  --accent: #0078d4;
  --accent-hover: #106ebe;
  --accent-fg: #ffffff;

  --btn-fg: #424242;
  --btn-hover: #e0e0e0;

  --toggle-on: rgba(0, 120, 212, 0.15);
  --toggle-on-border: var(--accent);
}

/* ============================================================
 * Reset & Base
 * ============================================================ */
* {
  box-sizing: border-box;
  margin: 0;
  padding: 0;
}
.kwasm-surface {
  height: 100%;
  /* Sliding panels must not make focus/scrollIntoView scroll the viewer itself. */
  overflow: clip;
  position: relative;
  isolation: isolate;
}

.kwasm-surface {
  font-family: var(--font);
  font-size: 13px;
  background: var(--bg-base);
  color: var(--fg);
  display: flex;
  flex-direction: column;
}

/* ============================================================
 * Component: Toolbar (floating, bottom center)
 * ============================================================ */
.toolbar {
  position: absolute;
  bottom: 4px;
  left: 50%;
  transform: translateX(-50%);
  width: max-content;
  max-width: calc(100% - 8px);
  max-height: calc(100% - 8px);
  background: var(--bg-surface);
  padding: 4px 6px;
  display: flex;
  align-items: center;
  flex-wrap: wrap;
  justify-content: center;
  gap: 2px;
  border: 1px solid var(--border);
  border-radius: 8px;
  box-shadow: 0 2px 12px rgba(0, 0, 0, 0.3);
  z-index: 50;
}

.toolbar.collapsed .toolbar-btn,
.toolbar.collapsed .toolbar-group,
.toolbar.collapsed .hier-depth-widget,
.toolbar.collapsed .toolbar-sep {
  display: none;
}

.toolbar-inner {
  display: contents;
}

.toolbar-group {
  display: contents;
}

.toolbar-toggle {
  display: inline-flex;
  align-items: center;
  justify-content: center;
  width: 32px;
  height: 32px;
  background: transparent;
  border: 1px solid transparent;
  color: var(--btn-fg);
  cursor: pointer;
  border-radius: var(--radius);
  font-size: 14px;
}

.toolbar-toggle:hover {
  background: var(--btn-hover);
}

.toolbar-sep {
  width: 1px;
  height: 24px;
  background: var(--border);
  margin: 0 4px;
}

.toolbar-btn {
  display: inline-flex;
  align-items: center;
  justify-content: center;
  width: 32px;
  height: 32px;
  background: transparent;
  border: 1px solid transparent;
  color: var(--btn-fg);
  cursor: pointer;
  border-radius: var(--radius);
  font-size: 14px;
  transition:
    background-color 0.15s ease,
    border-color 0.15s ease;
  position: relative;
}

.toolbar-btn:hover {
  background: var(--btn-hover);
}

.toolbar-btn:focus-visible {
  outline: 1px solid var(--border-focus);
  outline-offset: -1px;
}

.toolbar-btn.active {
  background: var(--accent);
  color: var(--accent-fg);
  border-color: var(--accent);
}

.toolbar-btn.active:hover {
  background: var(--accent-hover);
  border-color: var(--accent-hover);
}

.toolbar-btn.toggled {
  background: var(--toggle-on);
  border-color: var(--toggle-on-border);
  color: var(--accent);
}

.toolbar-btn.toggled:hover {
  background: var(--btn-hover);
}

/* --- Toolbar popup (e.g. Scale Z slider) --- */
.toolbar-popup {
  position: absolute;
  bottom: 100%;
  left: 50%;
  transform: translateX(-50%);
  margin-bottom: 8px;
  padding: 8px 12px;
  background: var(--bg-surface);
  border: 1px solid var(--border);
  border-radius: 6px;
  box-shadow: 0 2px 12px rgba(0, 0, 0, 0.4);
  z-index: 100;
  display: none;
  flex-direction: column;
  gap: 4px;
  align-items: center;
  white-space: nowrap;
  font-size: 11px;
  color: var(--fg-muted);
}

.toolbar-popup.open {
  display: flex;
}

.toolbar-popup input[type="range"] {
  width: 120px;
}

/* Hide tooltip when this button has an open popup */
.toolbar-btn:has(.toolbar-popup.open)[title]:hover::after {
  display: none;
}

.toolbar-btn[title]:hover::after {
  content: attr(title);
  position: absolute;
  bottom: 100%;
  left: 50%;
  transform: translateX(-50%);
  margin-bottom: 6px;
  padding: 4px 8px;
  background: var(--bg-base);
  color: var(--fg);
  font-size: 11px;
  white-space: nowrap;
  border-radius: 3px;
  border: 1px solid var(--border);
  box-shadow: 0 2px 8px rgba(0, 0, 0, 0.4);
  z-index: 100;
  pointer-events: none;
}

/* --- Hierarchy depth widget --- */
.hier-depth-widget {
  display: inline-flex;
  align-items: center;
}

.hier-depth-widget .hier-btn {
  width: 20px;
  padding: 0;
}

.hier-depth-label {
  display: inline-flex;
  align-items: center;
  justify-content: center;
  height: 32px;
  line-height: 32px;
  min-width: 2ch;
  padding: 0 4px;
  text-align: center;
  font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
  font-size: 12px;
  color: var(--btn-fg);
  cursor: pointer;
  user-select: none;
  transition:
    color 0.15s ease,
    opacity 0.15s ease;
}

.hier-depth-label:hover {
  color: var(--accent);
}

.toolbar-btn.hier-btn:disabled {
  opacity: 0.35;
  cursor: not-allowed;
}

.toolbar-btn.hier-btn:disabled:hover {
  background: transparent;
}

/* ============================================================
 * Layout: Main Content
 * ============================================================ */
.main-content {
  flex: 1;
  display: flex;
  overflow: hidden;
  min-height: 0;
}

/* ============================================================
 * Component: Viewer (canvas)
 * ============================================================ */
.viewer {
  flex: 1;
  position: relative;
  background: var(--bg-canvas);
  min-width: 0;
}

.viewer canvas {
  width: 100%;
  height: 100%;
  display: block;
}

/* ============================================================
 * Layout: 3D viewport
 * ============================================================ */
.viewer {
  flex: 1;
  position: relative;
  background: var(--bg-canvas);
  min-height: 0;
  overflow: hidden;
}

.viewer canvas {
  display: block;
  width: 100%;
  height: 100%;
}

.status-overlay {
  position: absolute;
  top: 8px;
  left: 12px;
  font-family: "SF Mono", "Cascadia Code", "Fira Code", monospace;
  font-size: 11px;
  color: var(--fg-muted);
  pointer-events: none;
  z-index: 10;
}

.loading-overlay {
  position: absolute;
  top: 0;
  left: 0;
  right: 0;
  bottom: 0;
  display: flex;
  align-items: center;
  justify-content: center;
  background: rgba(0, 0, 0, 0.5);
  color: var(--fg);
  font-size: 16px;
  z-index: 20;
}

.loading-overlay.hidden {
  display: none;
}

.loading-content {
  text-align: center;
}

.loading-progress {
  display: none;
  width: 220px;
  height: 4px;
  background: rgba(255, 255, 255, 0.15);
  border-radius: 2px;
  margin: 12px auto 0;
  overflow: hidden;
}

.loading-progress.active {
  display: block;
}

.loading-progress-bar {
  height: 100%;
  width: 0%;
  background: var(--accent, #4a9eff);
  border-radius: 2px;
  transition: width 0.15s ease-out;
}

.panel-backdrop {
  display: none;
  position: absolute;
  top: 0;
  left: 0;
  width: 100%;
  height: 100%;
  z-index: 45;
}
.panel-backdrop.active {
  display: block;
}

.u-hidden {
  display: none;
}

/* ============================================================
 * Component: Layer Tab (edge indicator)
 * ============================================================ */
.layer-tab {
  position: absolute;
  top: 50%;
  right: 0;
  transform: translateY(-50%);
  width: 32px;
  height: 40px;
  display: flex;
  align-items: center;
  justify-content: center;
  background: var(--bg-surface);
  border: 1px solid var(--border);
  border-right: none;
  border-radius: 6px 0 0 6px;
  color: var(--fg-muted);
  cursor: pointer;
  z-index: 60;
  transition:
    color 0.15s ease,
    background-color 0.15s ease;
}

.layer-tab:hover {
  background: var(--bg-card-hover);
  color: var(--fg);
}

/* ============================================================
 * Component: Layer Panel (overlay)
 * ============================================================ */
.layer-panel {
  position: absolute;
  top: 0;
  right: 0;
  width: 260px;
  max-width: 100%;
  height: 100%;
  background: var(--bg-surface);
  border-left: 1px solid var(--border);
  display: flex;
  flex-direction: column;
  overflow: hidden;
  transform: translateX(100%);
  transition: transform 0.2s ease;
  z-index: 95;
  box-shadow: -2px 0 12px rgba(0, 0, 0, 0.2);
}

.layer-panel.open {
  transform: translateX(0);
}

.layer-panel-header {
  display: flex;
  align-items: center;
  gap: 8px;
  padding: 10px 12px;
  border-bottom: 1px solid var(--border);
  flex-shrink: 0;
}

.layer-panel-header i {
  color: var(--fg-heading);
  font-size: 14px;
}

.layer-panel-header h3 {
  flex: 1;
  color: var(--fg-heading);
  font-size: 13px;
  font-weight: 500;
}

.layer-panel-close {
  display: inline-flex;
  align-items: center;
  justify-content: center;
  width: 24px;
  height: 24px;
  background: transparent;
  border: none;
  color: var(--fg-muted);
  cursor: pointer;
  border-radius: var(--radius);
  font-size: 14px;
}

.layer-panel-close:hover {
  background: var(--btn-hover);
  color: var(--fg);
}

.layer-panel-list {
  flex: 1;
  overflow-y: auto;
  padding: 8px;
  display: flex;
  flex-direction: column;
  gap: 4px;
}

.layer-panel-list::-webkit-scrollbar {
  width: 8px;
}
.layer-panel-list::-webkit-scrollbar-track {
  background: transparent;
}
.layer-panel-list::-webkit-scrollbar-thumb {
  background: var(--bg-input);
  border-radius: 4px;
}
.layer-panel-list::-webkit-scrollbar-thumb:hover {
  background: var(--btn-hover);
}

/* ============================================================
 * Component: Layer Actions (Show All / Hide All / Show Empty)
 * ============================================================ */
.layer-actions {
  display: flex;
  gap: 4px;
  padding: 4px 8px;
  flex-shrink: 0;
}

.layer-action-btn {
  flex: 1;
  padding: 4px 0;
  background: var(--bg-card);
  border: 1px solid var(--border);
  border-radius: var(--radius);
  color: var(--fg-muted);
  font-size: 11px;
  font-family: var(--font);
  cursor: pointer;
  transition: background-color 0.15s ease;
}

.layer-action-btn:hover {
  background: var(--bg-card-hover);
  color: var(--fg);
}

.layer-action-btn.active {
  background: var(--accent);
  color: #ffffff;
  border-color: var(--accent);
}

/* ============================================================
 * Component: Layer Card
 * ============================================================ */
.layer-card {
  display: flex;
  align-items: center;
  gap: 8px;
  padding: 6px 8px;
  background: var(--layer-card-bg-muted);
  border: 1px solid var(--border);
  border-radius: var(--radius);
  transition: background-color 0.15s ease;
  cursor: pointer;
  user-select: none;
}

.layer-card:hover {
  background: var(--layer-card-bg-muted-hover);
}

.layer-card.active-layer {
  background: var(--layer-card-bg-active);
}

.layer-card.active-layer:hover {
  background: var(--layer-card-bg-active-hover);
}

.layer-card.empty-layer,
.layer-card.hidden {
  background: var(--layer-card-bg-muted);
}

.layer-icon {
  width: 30px;
  height: 12px;
  flex-shrink: 0;
  object-fit: contain;
  image-rendering: auto;
  transition: opacity 0.15s ease;
}

.layer-card.hidden .layer-icon {
  opacity: 0.45;
}

.layer-name {
  flex: 1;
  font-size: 12px;
  white-space: nowrap;
  overflow: hidden;
  text-overflow: ellipsis;
  min-width: 0;
  color: var(--fg);
}

.layer-source {
  font-size: 12px;
  color: var(--fg-muted);
  white-space: nowrap;
  margin-left: 8px;
  flex-shrink: 0;
}

.layer-card.hidden .layer-name {
  color: var(--fg-muted);
}

.layer-card.empty-layer .layer-name,
.layer-card.empty-layer .layer-source {
  color: var(--fg-muted);
}

/* ============================================================
 * Component: Layer Group Toggle (chevron)
 * ============================================================ */
.layer-group-toggle {
  display: inline-flex;
  align-items: center;
  justify-content: center;
  width: 16px;
  height: 16px;
  flex-shrink: 0;
  font-size: 16px;
  line-height: 1;
  color: var(--fg-muted);
  cursor: pointer;
  transition: transform 0.2s ease;
  user-select: none;
  transform: rotate(90deg);
}

.layer-group-toggle.collapsed {
  transform: rotate(0deg);
}

.layer-card.group-parent {
  font-weight: 500;
}

/* ============================================================
 * Component: Layer Opacity Slider (3D only)
 * ============================================================ */
.layer-opacity {
  width: 40px;
  height: 4px;
  -webkit-appearance: none;
  appearance: none;
  background: var(--bg-input);
  border-radius: 2px;
  outline: none;
  cursor: pointer;
  flex-shrink: 0;
}

.layer-opacity::-webkit-slider-thumb {
  -webkit-appearance: none;
  width: 10px;
  height: 10px;
  border-radius: 50%;
  background: var(--accent);
  cursor: pointer;
}

.layer-opacity::-moz-range-thumb {
  width: 10px;
  height: 10px;
  border-radius: 50%;
  background: var(--accent);
  cursor: pointer;
  border: none;
}

/* ============================================================
 * Component: Layer Context Menu (right-click)
 * ============================================================ */
.layer-context-menu {
  position: absolute;
  min-width: min(180px, calc(100% - 16px));
  box-sizing: border-box;
  overflow: auto;
  background: var(--bg-surface);
  border: 1px solid var(--border);
  border-radius: var(--radius);
  box-shadow: 0 4px 16px rgba(0, 0, 0, 0.35);
  padding: 4px;
  z-index: 100;
  display: none;
  flex-direction: column;
}

.layer-context-menu.open {
  display: flex;
}

.layer-context-menu-title {
  padding: 4px 10px;
  font-size: 10px;
  font-weight: 500;
  text-transform: uppercase;
  letter-spacing: 0.5px;
  color: var(--fg-muted);
  white-space: nowrap;
  overflow: hidden;
  text-overflow: ellipsis;
  max-width: 220px;
}

.layer-context-menu-item {
  display: flex;
  align-items: center;
  gap: 8px;
  padding: 6px 10px;
  font-size: 12px;
  color: var(--fg);
  border-radius: var(--radius);
  cursor: pointer;
  white-space: nowrap;
  user-select: none;
}

.layer-context-menu-item:hover {
  background: var(--bg-card-hover);
}

.layer-context-menu-item i {
  width: 14px;
  text-align: center;
  color: var(--fg-muted);
  font-size: 11px;
}

.layer-context-menu-separator {
  height: 1px;
  background: var(--border);
  margin: 4px 6px;
}

/* ============================================================
 * Component: Cell Tree Tab (right edge, above layer tab)
 * ============================================================ */
.cell-tree-tab {
  position: absolute;
  top: calc(50% - 24px);
  right: 0;
  width: 32px;
  height: 40px;
  display: flex;
  align-items: center;
  justify-content: center;
  background: var(--bg-surface);
  border: 1px solid var(--border);
  border-right: none;
  border-radius: 6px 0 0 6px;
  color: var(--fg-muted);
  cursor: pointer;
  z-index: 60;
  transition:
    color 0.15s ease,
    background-color 0.15s ease;
}

.cell-tree-tab:hover {
  background: var(--bg-card-hover);
  color: var(--fg);
}

/* When cell tree tab exists, reposition layer tab below it */
.layer-tab {
  top: calc(50% + 20px) !important;
  transform: none !important;
}

/* ============================================================
 * Component: Cell Tree Panel (overlay, right side)
 * ============================================================ */
.cell-tree-panel {
  position: absolute;
  top: 0;
  right: 0;
  width: 280px;
  max-width: 100%;
  height: 100%;
  background: var(--bg-surface);
  border-left: 1px solid var(--border);
  display: flex;
  flex-direction: column;
  overflow: hidden;
  transform: translateX(100%);
  transition: transform 0.2s ease;
  z-index: 95;
  box-shadow: -2px 0 12px rgba(0, 0, 0, 0.2);
}

.cell-tree-panel.open {
  transform: translateX(0);
}

.cell-tree-panel-header {
  display: flex;
  align-items: center;
  gap: 8px;
  padding: 10px 12px;
  border-bottom: 1px solid var(--border);
  flex-shrink: 0;
}

.cell-tree-panel-header i {
  color: var(--fg-heading);
  font-size: 14px;
}

.cell-tree-panel-header h3 {
  flex: 1;
  color: var(--fg-heading);
  font-size: 13px;
  font-weight: 500;
}

.cell-tree-panel-close {
  display: inline-flex;
  align-items: center;
  justify-content: center;
  width: 24px;
  height: 24px;
  background: transparent;
  border: none;
  color: var(--fg-muted);
  cursor: pointer;
  border-radius: var(--radius);
  font-size: 14px;
}

.cell-tree-panel-close:hover {
  background: var(--btn-hover);
  color: var(--fg);
}

.cell-tree-actions {
  display: flex;
  gap: 4px;
  padding: 4px 8px;
  flex-shrink: 0;
}

.cell-tree-action-btn {
  flex: 1;
  padding: 4px 0;
  background: var(--bg-card);
  border: 1px solid var(--border);
  border-radius: var(--radius);
  color: var(--fg-muted);
  font-size: 11px;
  font-family: var(--font);
  cursor: pointer;
  transition: background-color 0.15s ease;
}

.cell-tree-action-btn:hover {
  background: var(--bg-card-hover);
  color: var(--fg);
}

.cell-tree-panel-list {
  flex: 1;
  overflow-y: auto;
  padding: 8px;
}

.cell-tree-panel-list::-webkit-scrollbar {
  width: 8px;
}
.cell-tree-panel-list::-webkit-scrollbar-track {
  background: transparent;
}
.cell-tree-panel-list::-webkit-scrollbar-thumb {
  background: var(--bg-input);
  border-radius: 4px;
}
.cell-tree-panel-list::-webkit-scrollbar-thumb:hover {
  background: var(--btn-hover);
}

/* ============================================================
 * Component: Cell Tree Node
 * ============================================================ */
.cell-tree-node {
  user-select: none;
}

.cell-tree-row {
  min-width: 120px;
  display: flex;
  align-items: center;
  gap: 4px;
  padding: 3px 6px;
  border-radius: var(--radius);
  cursor: pointer;
  font-size: 12px;
  color: var(--fg);
  transition: background-color 0.1s ease;
}

.cell-tree-row:hover {
  background: var(--bg-card-hover);
}

.cell-tree-more {
  border: 0;
  border-radius: var(--radius);
  padding: 3px 6px;
  font: inherit;
  font-size: 12px;
  color: var(--fg-muted);
  background: transparent;
  cursor: pointer;
}
.cell-tree-more:hover {
  background: var(--bg-card-hover);
}

.cell-tree-row.selected {
  background: var(--accent);
  color: #ffffff;
}

.cell-tree-toggle {
  display: inline-flex;
  align-items: center;
  justify-content: center;
  width: 16px;
  height: 16px;
  flex-shrink: 0;
  font-size: 14px;
  line-height: 1;
  color: var(--fg-muted);
  transition: transform 0.15s ease;
  transform: rotate(90deg);
}

.cell-tree-toggle.collapsed {
  transform: rotate(0deg);
}

.cell-tree-toggle.leaf {
  visibility: hidden;
}

.cell-tree-name {
  flex: 1;
  white-space: nowrap;
  overflow: hidden;
  text-overflow: ellipsis;
  min-width: 0;
}

.cell-tree-cell {
  color: var(--fg-muted);
  font-size: 11px;
  white-space: nowrap;
  flex-shrink: 0;
}

.cell-tree-row.selected .cell-tree-cell {
  color: rgba(255, 255, 255, 0.7);
}

.cell-tree-children {
  margin-left: 16px;
}

.cell-tree-children.collapsed {
  display: none;
}

/* ============================================================
 * Component: Panel Search (layer panel + cell tree panel)
 * ============================================================ */
.panel-search {
  display: flex;
  align-items: center;
  gap: 6px;
  padding: 4px 8px;
  color: var(--fg-muted);
  flex-shrink: 0;
}

.panel-search i {
  font-size: 11px;
}

.panel-search input {
  width: 100%;
  padding: 5px 7px;
  background: var(--bg-input);
  border: 1px solid var(--border);
  border-radius: var(--radius);
  color: var(--fg);
  font: inherit;
  font-size: 12px;
}

.panel-search input:focus {
  border-color: var(--accent);
  outline: none;
}

.panel-search-empty {
  padding: 8px;
  color: var(--fg-muted);
  font-size: 12px;
}

.cell-search-result {
  display: flex;
  flex-direction: column;
  width: 100%;
  padding: 6px 8px;
  border: 0;
  background: transparent;
  color: var(--fg);
  text-align: left;
  cursor: pointer;
}
.cell-search-result:hover,
.cell-search-result.selected {
  background: var(--bg-card-hover);
}
.cell-search-result small {
  color: var(--fg-muted);
  overflow-wrap: anywhere;
}
.search-match {
  color: var(--accent);
  font-weight: 600;
}

.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  white-space: nowrap;
  border: 0;
}

/* Net tracer connectivity panel */
.connectivity-tab {
  position: absolute;
  top: calc(50% - 68px);
  right: 0;
  width: 32px;
  height: 40px;
  display: flex;
  align-items: center;
  justify-content: center;
  background: var(--bg-surface);
  border: 1px solid var(--border);
  border-right: none;
  border-radius: 6px 0 0 6px;
  color: var(--fg-muted);
  cursor: pointer;
  z-index: 60;
}

.connectivity-tab:hover {
  background: var(--bg-card-hover);
  color: var(--fg);
}

.connectivity-panel {
  position: absolute;
  top: 0;
  right: 0;
  width: 320px;
  max-width: 100%;
  height: 100%;
  background: var(--bg-surface);
  border-left: 1px solid var(--border);
  display: flex;
  flex-direction: column;
  overflow: hidden;
  transform: translateX(100%);
  transition: transform 0.2s ease;
  z-index: 95;
  box-shadow: -2px 0 12px rgba(0, 0, 0, 0.2);
}

.connectivity-panel.open {
  transform: translateX(0);
}

.connectivity-panel-header {
  display: flex;
  align-items: center;
  gap: 8px;
  padding: 10px 12px;
  border-bottom: 1px solid var(--border);
}

.connectivity-panel-header i {
  color: var(--fg-heading);
  font-size: 14px;
}
.connectivity-panel-header h3 {
  flex: 1;
  color: var(--fg-heading);
  font-size: 13px;
  font-weight: 500;
}

.connectivity-panel-close {
  width: 24px;
  height: 24px;
  background: transparent;
  border: none;
  border-radius: var(--radius);
  color: var(--fg-muted);
  cursor: pointer;
}

.connectivity-panel-close:hover {
  background: var(--btn-hover);
  color: var(--fg);
}

.connectivity-panel-list {
  flex: 1;
  overflow-y: auto;
  padding: 12px;
}
.connectivity-section {
  margin-bottom: 18px;
}
.connectivity-section h4 {
  margin: 0 0 8px;
  color: var(--fg-heading);
  font-size: 12px;
  font-weight: 500;
}
.connectivity-rule {
  position: relative;
  padding: 8px 28px 8px 8px;
  margin-bottom: 6px;
  border: 1px solid var(--border);
  border-radius: var(--radius);
  background: var(--bg-card);
}
.connectivity-rule-remove {
  position: absolute;
  top: 6px;
  right: 6px;
  width: 20px;
  height: 20px;
  background: transparent;
  border: none;
  border-radius: var(--radius);
  color: var(--fg-muted);
  cursor: pointer;
  font-size: 11px;
}
.connectivity-rule-remove:hover {
  background: var(--btn-hover);
  color: var(--fg);
}
.connectivity-rule-label {
  display: block;
  margin-bottom: 4px;
  color: var(--fg-muted);
  font-size: 10px;
  text-transform: uppercase;
}
.connectivity-rule code {
  color: var(--fg);
  font: 12px var(--font-mono, monospace);
  word-break: break-word;
}
.connectivity-arrow {
  margin: 0 5px;
  color: var(--accent);
}
.connectivity-empty {
  color: var(--fg-muted);
  font-size: 12px;
  line-height: 1.5;
}

/* Rules added from the panel go through the same setConnectivity command. */
.connectivity-editor {
  flex-shrink: 0;
  padding: 10px 12px;
  border-top: 1px solid var(--border);
}
.connectivity-editor h4 {
  margin: 0 0 8px;
  color: var(--fg-heading);
  font-size: 12px;
  font-weight: 500;
}
.connectivity-editor-fields {
  display: flex;
  flex-direction: column;
  gap: 6px;
}
.connectivity-editor-input {
  width: 100%;
  padding: 5px 7px;
  background: var(--bg-input);
  border: 1px solid var(--border);
  border-radius: var(--radius);
  color: var(--fg);
  font: 12px var(--font-mono, monospace);
}
.connectivity-editor-input:focus {
  border-color: var(--accent);
  outline: none;
}
.connectivity-editor-actions {
  display: flex;
  gap: 6px;
  margin-top: 8px;
}
.connectivity-editor-btn {
  flex: 1;
  padding: 5px 8px;
  background: var(--bg-card);
  border: 1px solid var(--border);
  border-radius: var(--radius);
  color: var(--fg);
  font-size: 12px;
  cursor: pointer;
}
.connectivity-editor-btn:hover {
  background: var(--bg-card-hover);
}
.connectivity-rule-remove:disabled,
.connectivity-editor-input:disabled,
.connectivity-editor-btn:disabled {
  cursor: not-allowed;
  opacity: 0.5;
}

/* ============================================================
 * Component: Drop Overlay
 * ============================================================ */
.drop-overlay {
  display: none;
  position: absolute;
  top: 0;
  left: 0;
  width: 100%;
  height: 100%;
  background: rgba(0, 0, 0, 0.6);
  z-index: 200;
  align-items: center;
  justify-content: center;
}

.drop-overlay.active {
  display: flex;
}

.drop-overlay-inner {
  border: 3px dashed var(--accent);
  border-radius: 16px;
  padding: 48px 64px;
  color: var(--fg);
  font-size: 20px;
  pointer-events: none;
}

/* ============================================================
 * Component: Drop Hint
 * ============================================================ */
.drop-hint {
  position: absolute;
  top: 50%;
  left: 50%;
  transform: translate(-50%, -50%);
  color: var(--fg-muted);
  font-size: 16px;
  text-align: center;
  pointer-events: none;
  z-index: 10;
}

/* ============================================================
 * Toast notifications
 * ============================================================ */
.toast-container {
  position: absolute;
  width: max-content;
  max-width: calc(100% - 24px);
  max-height: calc(100% - 24px);
  overflow: auto;
  top: 12px;
  left: 50%;
  transform: translateX(-50%);
  z-index: 150;
  display: flex;
  flex-direction: column;
  gap: 8px;
  pointer-events: none;
}

.toast {
  pointer-events: auto;
  display: flex;
  align-items: center;
  gap: 10px;
  padding: 8px 14px;
  border: 1px solid var(--border);
  border-left: 3px solid var(--accent);
  border-radius: var(--radius);
  background: var(--bg-surface);
  color: var(--fg);
  font-size: 13px;
  font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
  box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3);
  opacity: 0;
  transform: translateY(-8px);
  transition:
    opacity 0.2s ease,
    transform 0.2s ease;
  white-space: normal;
  overflow-wrap: anywhere;
}

.toast.visible {
  opacity: 1;
  transform: translateY(0);
}

.toast.warning {
  border-left-color: #e8a317;
}
.toast.error {
  border-left-color: #d64545;
}

.toast-close {
  background: none;
  border: none;
  color: var(--fg-muted);
  cursor: pointer;
  font-size: 15px;
  line-height: 1;
  padding: 0 0 0 4px;
}

.toast-close:hover {
  color: var(--fg);
}

.shortcuts-menu {
  position: absolute;
  top: 10px;
  right: 10px;
  bottom: 10px;
  width: min(250px, calc(100% - 20px));
  pointer-events: none;
  z-index: 90;
}
.shortcuts-toggle {
  position: absolute;
  right: 0;
  pointer-events: auto;
  width: 34px;
  height: 34px;
  border: 1px solid var(--border);
  border-radius: var(--radius);
  background: var(--bg-surface);
  color: var(--btn-fg);
  cursor: pointer;
  box-shadow: 0 2px 8px rgba(0, 0, 0, 0.2);
}
.shortcuts-toggle:hover {
  background: var(--btn-hover);
}
.shortcuts-popover {
  pointer-events: auto;
  display: none;
  position: absolute;
  right: 0;
  top: 42px;
  width: 100%;
  max-height: calc(100% - 42px);
  overflow: auto;
  padding: 12px;
  box-sizing: border-box;
  background: var(--bg-surface);
  border: 1px solid var(--border);
  border-radius: 6px;
  box-shadow: 0 4px 18px rgba(0, 0, 0, 0.35);
  color: var(--fg);
  font: 12px var(--font);
}
.shortcuts-menu.open .shortcuts-popover {
  display: block;
}
.shortcuts-header {
  display: flex;
  align-items: center;
  justify-content: space-between;
  margin-bottom: 6px;
  color: var(--fg-heading);
}
.shortcuts-header button {
  border: 0;
  background: transparent;
  color: var(--accent);
  cursor: pointer;
  font: inherit;
}
.shortcuts-popover p {
  margin: 0 0 8px;
  color: var(--fg-muted);
  line-height: 1.35;
}
.shortcuts-popover label {
  display: flex;
  align-items: center;
  justify-content: space-between;
  gap: 10px;
  margin-top: 5px;
}
.shortcuts-popover input {
  width: 92px;
  padding: 4px 6px;
  box-sizing: border-box;
  border: 1px solid var(--border);
  border-radius: var(--radius);
  background: var(--bg-input);
  color: var(--fg);
  text-align: center;
  cursor: pointer;
}
.shortcuts-popover input:focus {
  outline: 1px solid var(--border-focus);
}

/* ============================================================
 * Component: Status Overlay (coordinate + instance hover)
 * ============================================================ */
.coord-overlay {
  position: absolute;
  bottom: 8px;
  right: 8px;
  background: rgba(0, 0, 0, 0.65);
  color: #ccc;
  font-family: "SF Mono", "Cascadia Code", "Fira Code", monospace;
  font-size: 11px;
  padding: 3px 8px;
  border-radius: 3px;
  pointer-events: none;
  z-index: 40;
  white-space: pre;
  opacity: 0;
  transition: opacity 0.15s ease;
}
.coord-overlay.visible {
  opacity: 1;
}
.instance-overlay {
  position: absolute;
  overflow: auto;
  background: rgba(0, 0, 0, 0.65);
  color: #ccc;
  font-family: "SF Mono", "Cascadia Code", "Fira Code", monospace;
  font-size: 11px;
  padding: 3px 8px;
  border-radius: 3px;
  pointer-events: none;
  z-index: 40;
  white-space: pre;
  opacity: 0;
  transition: opacity 0.15s ease;
}
.instance-overlay.visible {
  opacity: 1;
}
.top-cell-meta-overlay {
  position: absolute;
  top: 8px;
  left: 8px;
  background: rgba(0, 0, 0, 0.65);
  color: #ccc;
  font-family: "SF Mono", "Cascadia Code", "Fira Code", monospace;
  font-size: 11px;
  padding: 6px 10px;
  border-radius: 3px;
  pointer-events: none;
  z-index: 40;
  white-space: pre;
  opacity: 0;
  transition: opacity 0.15s ease;
  max-width: 50%;
  overflow: hidden;
  text-overflow: ellipsis;
}
.top-cell-meta-overlay.visible {
  opacity: 1;
}
.netlist-badge {
  position: absolute;
  bottom: 8px;
  left: 8px;
  background: rgba(40, 120, 80, 0.8);
  color: #fff;
  font-family: "SF Mono", "Cascadia Code", "Fira Code", monospace;
  font-size: 10px;
  padding: 2px 6px;
  border-radius: 3px;
  pointer-events: none;
  z-index: 40;
  opacity: 0;
  transition: opacity 0.15s ease;
}
.netlist-badge.visible {
  opacity: 1;
}

/* ============================================================
 * Component: Context Menu (right-click on instance)
 * ============================================================ */
.context-menu {
  display: none;
  position: absolute;
  overflow: auto;
  background: rgba(30, 30, 30, 0.95);
  border: 1px solid rgba(255, 255, 255, 0.15);
  border-radius: 4px;
  padding: 2px 0;
  z-index: 100;
  min-width: min(180px, calc(100% - 16px));
  font-family: "SF Mono", "Cascadia Code", "Fira Code", monospace;
  font-size: 12px;
  color: #ccc;
  box-shadow: 0 4px 12px rgba(0, 0, 0, 0.4);
}
.context-menu-item {
  padding: 6px 14px;
  cursor: pointer;
  white-space: nowrap;
}
.context-menu-item:hover {
  background: rgba(255, 255, 255, 0.1);
  color: #fff;
}

/* ============================================================
 * Component: Panel Backdrop (click-to-dismiss overlay)
 * ============================================================ */
.panel-backdrop {
  display: none;
  position: absolute;
  top: 0;
  left: 0;
  width: 100%;
  height: 100%;
  z-index: 45;
}
.panel-backdrop.active {
  display: block;
}

/* ============================================================
 * Utility
 * ============================================================ */
.u-hidden {
  display: none;
}

:host{display:block;height:100%;width:100%}.kwasm-surface{position:relative;height:100%;width:100%;isolation:isolate;outline:none}.viewer-container{flex:1;display:flex;min-height:0;overflow:hidden}.toolbar-group{display:contents}/*!
 * Font Awesome Free 6.4.0 by @fontawesome - https://fontawesome.com
 * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
 * Copyright 2023 Fonticons, Inc.
 */
.fa{font-family:var(--fa-style-family,"Font Awesome 6 Free");font-weight:var(--fa-style,900)}.fa,.fa-brands,.fa-classic,.fa-regular,.fa-sharp,.fa-solid,.fab,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:var(--fa-display,inline-block);font-style:normal;font-variant:normal;line-height:1;text-rendering:auto}.fa-classic,.fa-regular,.fa-solid,.far,.fas{font-family:"Font Awesome 6 Free"}.fa-brands,.fab{font-family:"Font Awesome 6 Brands"}.fa-1x{font-size:1em}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-6x{font-size:6em}.fa-7x{font-size:7em}.fa-8x{font-size:8em}.fa-9x{font-size:9em}.fa-10x{font-size:10em}.fa-2xs{font-size:.625em;line-height:.1em;vertical-align:.225em}.fa-xs{font-size:.75em;line-height:.08333em;vertical-align:.125em}.fa-sm{font-size:.875em;line-height:.07143em;vertical-align:.05357em}.fa-lg{font-size:1.25em;line-height:.05em;vertical-align:-.075em}.fa-xl{font-size:1.5em;line-height:.04167em;vertical-align:-.125em}.fa-2xl{font-size:2em;line-height:.03125em;vertical-align:-.1875em}.fa-fw{text-align:center;width:1.25em}.fa-ul{list-style-type:none;margin-left:var(--fa-li-margin,2.5em);padding-left:0}.fa-ul>li{position:relative}.fa-li{left:calc(var(--fa-li-width, 2em)*-1);position:absolute;text-align:center;width:var(--fa-li-width,2em);line-height:inherit}.fa-border{border-radius:var(--fa-border-radius,.1em);border:var(--fa-border-width,.08em) var(--fa-border-style,solid) var(--fa-border-color,#eee);padding:var(--fa-border-padding,.2em .25em .15em)}.fa-pull-left{float:left;margin-right:var(--fa-pull-margin,.3em)}.fa-pull-right{float:right;margin-left:var(--fa-pull-margin,.3em)}.fa-beat{-webkit-animation-name:fa-beat;animation-name:fa-beat;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-bounce{-webkit-animation-name:fa-bounce;animation-name:fa-bounce;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1))}.fa-fade{-webkit-animation-name:fa-fade;animation-name:fa-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-beat-fade,.fa-fade{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s)}.fa-beat-fade{-webkit-animation-name:fa-beat-fade;animation-name:fa-beat-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-flip{-webkit-animation-name:fa-flip;animation-name:fa-flip;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-shake{-webkit-animation-name:fa-shake;animation-name:fa-shake;-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-shake,.fa-spin{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal)}.fa-spin{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-duration:var(--fa-animation-duration,2s);animation-duration:var(--fa-animation-duration,2s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-spin-reverse{--fa-animation-direction:reverse}.fa-pulse,.fa-spin-pulse{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,steps(8));animation-timing-function:var(--fa-animation-timing,steps(8))}@media (prefers-reduced-motion:reduce){.fa-beat,.fa-beat-fade,.fa-bounce,.fa-fade,.fa-flip,.fa-pulse,.fa-shake,.fa-spin,.fa-spin-pulse{-webkit-animation-delay:-1ms;animation-delay:-1ms;-webkit-animation-duration:1ms;animation-duration:1ms;-webkit-animation-iteration-count:1;animation-iteration-count:1;-webkit-transition-delay:0s;transition-delay:0s;-webkit-transition-duration:0s;transition-duration:0s}}@-webkit-keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@-webkit-keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0);transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0)}30%{-webkit-transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em));transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em))}50%{-webkit-transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0);transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0)}57%{-webkit-transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em));transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em))}64%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}to{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}}@keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0);transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0)}30%{-webkit-transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em));transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em))}50%{-webkit-transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0);transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0)}57%{-webkit-transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em));transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em))}64%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}to{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}}@-webkit-keyframes fa-fade{50%{opacity:var(--fa-fade-opacity,.4)}}@keyframes fa-fade{50%{opacity:var(--fa-fade-opacity,.4)}}@-webkit-keyframes fa-beat-fade{0%,to{opacity:var(--fa-beat-fade-opacity,.4);-webkit-transform:scale(1);transform:scale(1)}50%{opacity:1;-webkit-transform:scale(var(--fa-beat-fade-scale,1.125));transform:scale(var(--fa-beat-fade-scale,1.125))}}@keyframes fa-beat-fade{0%,to{opacity:var(--fa-beat-fade-opacity,.4);-webkit-transform:scale(1);transform:scale(1)}50%{opacity:1;-webkit-transform:scale(var(--fa-beat-fade-scale,1.125));transform:scale(var(--fa-beat-fade-scale,1.125))}}@-webkit-keyframes fa-flip{50%{-webkit-transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg));transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg))}}@keyframes fa-flip{50%{-webkit-transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg));transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg))}}@-webkit-keyframes fa-shake{0%{-webkit-transform:rotate(-15deg);transform:rotate(-15deg)}4%{-webkit-transform:rotate(15deg);transform:rotate(15deg)}8%,24%{-webkit-transform:rotate(-18deg);transform:rotate(-18deg)}12%,28%{-webkit-transform:rotate(18deg);transform:rotate(18deg)}16%{-webkit-transform:rotate(-22deg);transform:rotate(-22deg)}20%{-webkit-transform:rotate(22deg);transform:rotate(22deg)}32%{-webkit-transform:rotate(-12deg);transform:rotate(-12deg)}36%{-webkit-transform:rotate(12deg);transform:rotate(12deg)}40%,to{-webkit-transform:rotate(0deg);transform:rotate(0deg)}}@keyframes fa-shake{0%{-webkit-transform:rotate(-15deg);transform:rotate(-15deg)}4%{-webkit-transform:rotate(15deg);transform:rotate(15deg)}8%,24%{-webkit-transform:rotate(-18deg);transform:rotate(-18deg)}12%,28%{-webkit-transform:rotate(18deg);transform:rotate(18deg)}16%{-webkit-transform:rotate(-22deg);transform:rotate(-22deg)}20%{-webkit-transform:rotate(22deg);transform:rotate(22deg)}32%{-webkit-transform:rotate(-12deg);transform:rotate(-12deg)}36%{-webkit-transform:rotate(12deg);transform:rotate(12deg)}40%,to{-webkit-transform:rotate(0deg);transform:rotate(0deg)}}@-webkit-keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}@keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}.fa-rotate-90{-webkit-transform:rotate(90deg);transform:rotate(90deg)}.fa-rotate-180{-webkit-transform:rotate(180deg);transform:rotate(180deg)}.fa-rotate-270{-webkit-transform:rotate(270deg);transform:rotate(270deg)}.fa-flip-horizontal{-webkit-transform:scaleX(-1);transform:scaleX(-1)}.fa-flip-vertical{-webkit-transform:scaleY(-1);transform:scaleY(-1)}.fa-flip-both,.fa-flip-horizontal.fa-flip-vertical{-webkit-transform:scale(-1);transform:scale(-1)}.fa-rotate-by{-webkit-transform:rotate(var(--fa-rotate-angle,none));transform:rotate(var(--fa-rotate-angle,none))}.fa-stack{display:inline-block;height:2em;line-height:2em;position:relative;vertical-align:middle;width:2.5em}.fa-stack-1x,.fa-stack-2x{left:0;position:absolute;text-align:center;width:100%;z-index:var(--fa-stack-z-index,auto)}.fa-stack-1x{line-height:inherit}.fa-stack-2x{font-size:2em}.fa-inverse{color:var(--fa-inverse,#fff)}

.fa-0:before{content:"\\30"}.fa-1:before{content:"\\31"}.fa-2:before{content:"\\32"}.fa-3:before{content:"\\33"}.fa-4:before{content:"\\34"}.fa-5:before{content:"\\35"}.fa-6:before{content:"\\36"}.fa-7:before{content:"\\37"}.fa-8:before{content:"\\38"}.fa-9:before{content:"\\39"}.fa-fill-drip:before{content:"\\f576"}.fa-arrows-to-circle:before{content:"\\e4bd"}.fa-chevron-circle-right:before,.fa-circle-chevron-right:before{content:"\\f138"}.fa-at:before{content:"\\40"}.fa-trash-alt:before,.fa-trash-can:before{content:"\\f2ed"}.fa-text-height:before{content:"\\f034"}.fa-user-times:before,.fa-user-xmark:before{content:"\\f235"}.fa-stethoscope:before{content:"\\f0f1"}.fa-comment-alt:before,.fa-message:before{content:"\\f27a"}.fa-info:before{content:"\\f129"}.fa-compress-alt:before,.fa-down-left-and-up-right-to-center:before{content:"\\f422"}.fa-explosion:before{content:"\\e4e9"}.fa-file-alt:before,.fa-file-lines:before,.fa-file-text:before{content:"\\f15c"}.fa-wave-square:before{content:"\\f83e"}.fa-ring:before{content:"\\f70b"}.fa-building-un:before{content:"\\e4d9"}.fa-dice-three:before{content:"\\f527"}.fa-calendar-alt:before,.fa-calendar-days:before{content:"\\f073"}.fa-anchor-circle-check:before{content:"\\e4aa"}.fa-building-circle-arrow-right:before{content:"\\e4d1"}.fa-volleyball-ball:before,.fa-volleyball:before{content:"\\f45f"}.fa-arrows-up-to-line:before{content:"\\e4c2"}.fa-sort-desc:before,.fa-sort-down:before{content:"\\f0dd"}.fa-circle-minus:before,.fa-minus-circle:before{content:"\\f056"}.fa-door-open:before{content:"\\f52b"}.fa-right-from-bracket:before,.fa-sign-out-alt:before{content:"\\f2f5"}.fa-atom:before{content:"\\f5d2"}.fa-soap:before{content:"\\e06e"}.fa-heart-music-camera-bolt:before,.fa-icons:before{content:"\\f86d"}.fa-microphone-alt-slash:before,.fa-microphone-lines-slash:before{content:"\\f539"}.fa-bridge-circle-check:before{content:"\\e4c9"}.fa-pump-medical:before{content:"\\e06a"}.fa-fingerprint:before{content:"\\f577"}.fa-hand-point-right:before{content:"\\f0a4"}.fa-magnifying-glass-location:before,.fa-search-location:before{content:"\\f689"}.fa-forward-step:before,.fa-step-forward:before{content:"\\f051"}.fa-face-smile-beam:before,.fa-smile-beam:before{content:"\\f5b8"}.fa-flag-checkered:before{content:"\\f11e"}.fa-football-ball:before,.fa-football:before{content:"\\f44e"}.fa-school-circle-exclamation:before{content:"\\e56c"}.fa-crop:before{content:"\\f125"}.fa-angle-double-down:before,.fa-angles-down:before{content:"\\f103"}.fa-users-rectangle:before{content:"\\e594"}.fa-people-roof:before{content:"\\e537"}.fa-people-line:before{content:"\\e534"}.fa-beer-mug-empty:before,.fa-beer:before{content:"\\f0fc"}.fa-diagram-predecessor:before{content:"\\e477"}.fa-arrow-up-long:before,.fa-long-arrow-up:before{content:"\\f176"}.fa-burn:before,.fa-fire-flame-simple:before{content:"\\f46a"}.fa-male:before,.fa-person:before{content:"\\f183"}.fa-laptop:before{content:"\\f109"}.fa-file-csv:before{content:"\\f6dd"}.fa-menorah:before{content:"\\f676"}.fa-truck-plane:before{content:"\\e58f"}.fa-record-vinyl:before{content:"\\f8d9"}.fa-face-grin-stars:before,.fa-grin-stars:before{content:"\\f587"}.fa-bong:before{content:"\\f55c"}.fa-pastafarianism:before,.fa-spaghetti-monster-flying:before{content:"\\f67b"}.fa-arrow-down-up-across-line:before{content:"\\e4af"}.fa-spoon:before,.fa-utensil-spoon:before{content:"\\f2e5"}.fa-jar-wheat:before{content:"\\e517"}.fa-envelopes-bulk:before,.fa-mail-bulk:before{content:"\\f674"}.fa-file-circle-exclamation:before{content:"\\e4eb"}.fa-circle-h:before,.fa-hospital-symbol:before{content:"\\f47e"}.fa-pager:before{content:"\\f815"}.fa-address-book:before,.fa-contact-book:before{content:"\\f2b9"}.fa-strikethrough:before{content:"\\f0cc"}.fa-k:before{content:"\\4b"}.fa-landmark-flag:before{content:"\\e51c"}.fa-pencil-alt:before,.fa-pencil:before{content:"\\f303"}.fa-backward:before{content:"\\f04a"}.fa-caret-right:before{content:"\\f0da"}.fa-comments:before{content:"\\f086"}.fa-file-clipboard:before,.fa-paste:before{content:"\\f0ea"}.fa-code-pull-request:before{content:"\\e13c"}.fa-clipboard-list:before{content:"\\f46d"}.fa-truck-loading:before,.fa-truck-ramp-box:before{content:"\\f4de"}.fa-user-check:before{content:"\\f4fc"}.fa-vial-virus:before{content:"\\e597"}.fa-sheet-plastic:before{content:"\\e571"}.fa-blog:before{content:"\\f781"}.fa-user-ninja:before{content:"\\f504"}.fa-person-arrow-up-from-line:before{content:"\\e539"}.fa-scroll-torah:before,.fa-torah:before{content:"\\f6a0"}.fa-broom-ball:before,.fa-quidditch-broom-ball:before,.fa-quidditch:before{content:"\\f458"}.fa-toggle-off:before{content:"\\f204"}.fa-archive:before,.fa-box-archive:before{content:"\\f187"}.fa-person-drowning:before{content:"\\e545"}.fa-arrow-down-9-1:before,.fa-sort-numeric-desc:before,.fa-sort-numeric-down-alt:before{content:"\\f886"}.fa-face-grin-tongue-squint:before,.fa-grin-tongue-squint:before{content:"\\f58a"}.fa-spray-can:before{content:"\\f5bd"}.fa-truck-monster:before{content:"\\f63b"}.fa-w:before{content:"\\57"}.fa-earth-africa:before,.fa-globe-africa:before{content:"\\f57c"}.fa-rainbow:before{content:"\\f75b"}.fa-circle-notch:before{content:"\\f1ce"}.fa-tablet-alt:before,.fa-tablet-screen-button:before{content:"\\f3fa"}.fa-paw:before{content:"\\f1b0"}.fa-cloud:before{content:"\\f0c2"}.fa-trowel-bricks:before{content:"\\e58a"}.fa-face-flushed:before,.fa-flushed:before{content:"\\f579"}.fa-hospital-user:before{content:"\\f80d"}.fa-tent-arrow-left-right:before{content:"\\e57f"}.fa-gavel:before,.fa-legal:before{content:"\\f0e3"}.fa-binoculars:before{content:"\\f1e5"}.fa-microphone-slash:before{content:"\\f131"}.fa-box-tissue:before{content:"\\e05b"}.fa-motorcycle:before{content:"\\f21c"}.fa-bell-concierge:before,.fa-concierge-bell:before{content:"\\f562"}.fa-pen-ruler:before,.fa-pencil-ruler:before{content:"\\f5ae"}.fa-people-arrows-left-right:before,.fa-people-arrows:before{content:"\\e068"}.fa-mars-and-venus-burst:before{content:"\\e523"}.fa-caret-square-right:before,.fa-square-caret-right:before{content:"\\f152"}.fa-cut:before,.fa-scissors:before{content:"\\f0c4"}.fa-sun-plant-wilt:before{content:"\\e57a"}.fa-toilets-portable:before{content:"\\e584"}.fa-hockey-puck:before{content:"\\f453"}.fa-table:before{content:"\\f0ce"}.fa-magnifying-glass-arrow-right:before{content:"\\e521"}.fa-digital-tachograph:before,.fa-tachograph-digital:before{content:"\\f566"}.fa-users-slash:before{content:"\\e073"}.fa-clover:before{content:"\\e139"}.fa-mail-reply:before,.fa-reply:before{content:"\\f3e5"}.fa-star-and-crescent:before{content:"\\f699"}.fa-house-fire:before{content:"\\e50c"}.fa-minus-square:before,.fa-square-minus:before{content:"\\f146"}.fa-helicopter:before{content:"\\f533"}.fa-compass:before{content:"\\f14e"}.fa-caret-square-down:before,.fa-square-caret-down:before{content:"\\f150"}.fa-file-circle-question:before{content:"\\e4ef"}.fa-laptop-code:before{content:"\\f5fc"}.fa-swatchbook:before{content:"\\f5c3"}.fa-prescription-bottle:before{content:"\\f485"}.fa-bars:before,.fa-navicon:before{content:"\\f0c9"}.fa-people-group:before{content:"\\e533"}.fa-hourglass-3:before,.fa-hourglass-end:before{content:"\\f253"}.fa-heart-broken:before,.fa-heart-crack:before{content:"\\f7a9"}.fa-external-link-square-alt:before,.fa-square-up-right:before{content:"\\f360"}.fa-face-kiss-beam:before,.fa-kiss-beam:before{content:"\\f597"}.fa-film:before{content:"\\f008"}.fa-ruler-horizontal:before{content:"\\f547"}.fa-people-robbery:before{content:"\\e536"}.fa-lightbulb:before{content:"\\f0eb"}.fa-caret-left:before{content:"\\f0d9"}.fa-circle-exclamation:before,.fa-exclamation-circle:before{content:"\\f06a"}.fa-school-circle-xmark:before{content:"\\e56d"}.fa-arrow-right-from-bracket:before,.fa-sign-out:before{content:"\\f08b"}.fa-chevron-circle-down:before,.fa-circle-chevron-down:before{content:"\\f13a"}.fa-unlock-alt:before,.fa-unlock-keyhole:before{content:"\\f13e"}.fa-cloud-showers-heavy:before{content:"\\f740"}.fa-headphones-alt:before,.fa-headphones-simple:before{content:"\\f58f"}.fa-sitemap:before{content:"\\f0e8"}.fa-circle-dollar-to-slot:before,.fa-donate:before{content:"\\f4b9"}.fa-memory:before{content:"\\f538"}.fa-road-spikes:before{content:"\\e568"}.fa-fire-burner:before{content:"\\e4f1"}.fa-flag:before{content:"\\f024"}.fa-hanukiah:before{content:"\\f6e6"}.fa-feather:before{content:"\\f52d"}.fa-volume-down:before,.fa-volume-low:before{content:"\\f027"}.fa-comment-slash:before{content:"\\f4b3"}.fa-cloud-sun-rain:before{content:"\\f743"}.fa-compress:before{content:"\\f066"}.fa-wheat-alt:before,.fa-wheat-awn:before{content:"\\e2cd"}.fa-ankh:before{content:"\\f644"}.fa-hands-holding-child:before{content:"\\e4fa"}.fa-asterisk:before{content:"\\2a"}.fa-check-square:before,.fa-square-check:before{content:"\\f14a"}.fa-peseta-sign:before{content:"\\e221"}.fa-header:before,.fa-heading:before{content:"\\f1dc"}.fa-ghost:before{content:"\\f6e2"}.fa-list-squares:before,.fa-list:before{content:"\\f03a"}.fa-phone-square-alt:before,.fa-square-phone-flip:before{content:"\\f87b"}.fa-cart-plus:before{content:"\\f217"}.fa-gamepad:before{content:"\\f11b"}.fa-circle-dot:before,.fa-dot-circle:before{content:"\\f192"}.fa-dizzy:before,.fa-face-dizzy:before{content:"\\f567"}.fa-egg:before{content:"\\f7fb"}.fa-house-medical-circle-xmark:before{content:"\\e513"}.fa-campground:before{content:"\\f6bb"}.fa-folder-plus:before{content:"\\f65e"}.fa-futbol-ball:before,.fa-futbol:before,.fa-soccer-ball:before{content:"\\f1e3"}.fa-paint-brush:before,.fa-paintbrush:before{content:"\\f1fc"}.fa-lock:before{content:"\\f023"}.fa-gas-pump:before{content:"\\f52f"}.fa-hot-tub-person:before,.fa-hot-tub:before{content:"\\f593"}.fa-map-location:before,.fa-map-marked:before{content:"\\f59f"}.fa-house-flood-water:before{content:"\\e50e"}.fa-tree:before{content:"\\f1bb"}.fa-bridge-lock:before{content:"\\e4cc"}.fa-sack-dollar:before{content:"\\f81d"}.fa-edit:before,.fa-pen-to-square:before{content:"\\f044"}.fa-car-side:before{content:"\\f5e4"}.fa-share-alt:before,.fa-share-nodes:before{content:"\\f1e0"}.fa-heart-circle-minus:before{content:"\\e4ff"}.fa-hourglass-2:before,.fa-hourglass-half:before{content:"\\f252"}.fa-microscope:before{content:"\\f610"}.fa-sink:before{content:"\\e06d"}.fa-bag-shopping:before,.fa-shopping-bag:before{content:"\\f290"}.fa-arrow-down-z-a:before,.fa-sort-alpha-desc:before,.fa-sort-alpha-down-alt:before{content:"\\f881"}.fa-mitten:before{content:"\\f7b5"}.fa-person-rays:before{content:"\\e54d"}.fa-users:before{content:"\\f0c0"}.fa-eye-slash:before{content:"\\f070"}.fa-flask-vial:before{content:"\\e4f3"}.fa-hand-paper:before,.fa-hand:before{content:"\\f256"}.fa-om:before{content:"\\f679"}.fa-worm:before{content:"\\e599"}.fa-house-circle-xmark:before{content:"\\e50b"}.fa-plug:before{content:"\\f1e6"}.fa-chevron-up:before{content:"\\f077"}.fa-hand-spock:before{content:"\\f259"}.fa-stopwatch:before{content:"\\f2f2"}.fa-face-kiss:before,.fa-kiss:before{content:"\\f596"}.fa-bridge-circle-xmark:before{content:"\\e4cb"}.fa-face-grin-tongue:before,.fa-grin-tongue:before{content:"\\f589"}.fa-chess-bishop:before{content:"\\f43a"}.fa-face-grin-wink:before,.fa-grin-wink:before{content:"\\f58c"}.fa-deaf:before,.fa-deafness:before,.fa-ear-deaf:before,.fa-hard-of-hearing:before{content:"\\f2a4"}.fa-road-circle-check:before{content:"\\e564"}.fa-dice-five:before{content:"\\f523"}.fa-rss-square:before,.fa-square-rss:before{content:"\\f143"}.fa-land-mine-on:before{content:"\\e51b"}.fa-i-cursor:before{content:"\\f246"}.fa-stamp:before{content:"\\f5bf"}.fa-stairs:before{content:"\\e289"}.fa-i:before{content:"\\49"}.fa-hryvnia-sign:before,.fa-hryvnia:before{content:"\\f6f2"}.fa-pills:before{content:"\\f484"}.fa-face-grin-wide:before,.fa-grin-alt:before{content:"\\f581"}.fa-tooth:before{content:"\\f5c9"}.fa-v:before{content:"\\56"}.fa-bangladeshi-taka-sign:before{content:"\\e2e6"}.fa-bicycle:before{content:"\\f206"}.fa-rod-asclepius:before,.fa-rod-snake:before,.fa-staff-aesculapius:before,.fa-staff-snake:before{content:"\\e579"}.fa-head-side-cough-slash:before{content:"\\e062"}.fa-ambulance:before,.fa-truck-medical:before{content:"\\f0f9"}.fa-wheat-awn-circle-exclamation:before{content:"\\e598"}.fa-snowman:before{content:"\\f7d0"}.fa-mortar-pestle:before{content:"\\f5a7"}.fa-road-barrier:before{content:"\\e562"}.fa-school:before{content:"\\f549"}.fa-igloo:before{content:"\\f7ae"}.fa-joint:before{content:"\\f595"}.fa-angle-right:before{content:"\\f105"}.fa-horse:before{content:"\\f6f0"}.fa-q:before{content:"\\51"}.fa-g:before{content:"\\47"}.fa-notes-medical:before{content:"\\f481"}.fa-temperature-2:before,.fa-temperature-half:before,.fa-thermometer-2:before,.fa-thermometer-half:before{content:"\\f2c9"}.fa-dong-sign:before{content:"\\e169"}.fa-capsules:before{content:"\\f46b"}.fa-poo-bolt:before,.fa-poo-storm:before{content:"\\f75a"}.fa-face-frown-open:before,.fa-frown-open:before{content:"\\f57a"}.fa-hand-point-up:before{content:"\\f0a6"}.fa-money-bill:before{content:"\\f0d6"}.fa-bookmark:before{content:"\\f02e"}.fa-align-justify:before{content:"\\f039"}.fa-umbrella-beach:before{content:"\\f5ca"}.fa-helmet-un:before{content:"\\e503"}.fa-bullseye:before{content:"\\f140"}.fa-bacon:before{content:"\\f7e5"}.fa-hand-point-down:before{content:"\\f0a7"}.fa-arrow-up-from-bracket:before{content:"\\e09a"}.fa-folder-blank:before,.fa-folder:before{content:"\\f07b"}.fa-file-medical-alt:before,.fa-file-waveform:before{content:"\\f478"}.fa-radiation:before{content:"\\f7b9"}.fa-chart-simple:before{content:"\\e473"}.fa-mars-stroke:before{content:"\\f229"}.fa-vial:before{content:"\\f492"}.fa-dashboard:before,.fa-gauge-med:before,.fa-gauge:before,.fa-tachometer-alt-average:before{content:"\\f624"}.fa-magic-wand-sparkles:before,.fa-wand-magic-sparkles:before{content:"\\e2ca"}.fa-e:before{content:"\\45"}.fa-pen-alt:before,.fa-pen-clip:before{content:"\\f305"}.fa-bridge-circle-exclamation:before{content:"\\e4ca"}.fa-user:before{content:"\\f007"}.fa-school-circle-check:before{content:"\\e56b"}.fa-dumpster:before{content:"\\f793"}.fa-shuttle-van:before,.fa-van-shuttle:before{content:"\\f5b6"}.fa-building-user:before{content:"\\e4da"}.fa-caret-square-left:before,.fa-square-caret-left:before{content:"\\f191"}.fa-highlighter:before{content:"\\f591"}.fa-key:before{content:"\\f084"}.fa-bullhorn:before{content:"\\f0a1"}.fa-globe:before{content:"\\f0ac"}.fa-synagogue:before{content:"\\f69b"}.fa-person-half-dress:before{content:"\\e548"}.fa-road-bridge:before{content:"\\e563"}.fa-location-arrow:before{content:"\\f124"}.fa-c:before{content:"\\43"}.fa-tablet-button:before{content:"\\f10a"}.fa-building-lock:before{content:"\\e4d6"}.fa-pizza-slice:before{content:"\\f818"}.fa-money-bill-wave:before{content:"\\f53a"}.fa-area-chart:before,.fa-chart-area:before{content:"\\f1fe"}.fa-house-flag:before{content:"\\e50d"}.fa-person-circle-minus:before{content:"\\e540"}.fa-ban:before,.fa-cancel:before{content:"\\f05e"}.fa-camera-rotate:before{content:"\\e0d8"}.fa-air-freshener:before,.fa-spray-can-sparkles:before{content:"\\f5d0"}.fa-star:before{content:"\\f005"}.fa-repeat:before{content:"\\f363"}.fa-cross:before{content:"\\f654"}.fa-box:before{content:"\\f466"}.fa-venus-mars:before{content:"\\f228"}.fa-arrow-pointer:before,.fa-mouse-pointer:before{content:"\\f245"}.fa-expand-arrows-alt:before,.fa-maximize:before{content:"\\f31e"}.fa-charging-station:before{content:"\\f5e7"}.fa-shapes:before,.fa-triangle-circle-square:before{content:"\\f61f"}.fa-random:before,.fa-shuffle:before{content:"\\f074"}.fa-person-running:before,.fa-running:before{content:"\\f70c"}.fa-mobile-retro:before{content:"\\e527"}.fa-grip-lines-vertical:before{content:"\\f7a5"}.fa-spider:before{content:"\\f717"}.fa-hands-bound:before{content:"\\e4f9"}.fa-file-invoice-dollar:before{content:"\\f571"}.fa-plane-circle-exclamation:before{content:"\\e556"}.fa-x-ray:before{content:"\\f497"}.fa-spell-check:before{content:"\\f891"}.fa-slash:before{content:"\\f715"}.fa-computer-mouse:before,.fa-mouse:before{content:"\\f8cc"}.fa-arrow-right-to-bracket:before,.fa-sign-in:before{content:"\\f090"}.fa-shop-slash:before,.fa-store-alt-slash:before{content:"\\e070"}.fa-server:before{content:"\\f233"}.fa-virus-covid-slash:before{content:"\\e4a9"}.fa-shop-lock:before{content:"\\e4a5"}.fa-hourglass-1:before,.fa-hourglass-start:before{content:"\\f251"}.fa-blender-phone:before{content:"\\f6b6"}.fa-building-wheat:before{content:"\\e4db"}.fa-person-breastfeeding:before{content:"\\e53a"}.fa-right-to-bracket:before,.fa-sign-in-alt:before{content:"\\f2f6"}.fa-venus:before{content:"\\f221"}.fa-passport:before{content:"\\f5ab"}.fa-heart-pulse:before,.fa-heartbeat:before{content:"\\f21e"}.fa-people-carry-box:before,.fa-people-carry:before{content:"\\f4ce"}.fa-temperature-high:before{content:"\\f769"}.fa-microchip:before{content:"\\f2db"}.fa-crown:before{content:"\\f521"}.fa-weight-hanging:before{content:"\\f5cd"}.fa-xmarks-lines:before{content:"\\e59a"}.fa-file-prescription:before{content:"\\f572"}.fa-weight-scale:before,.fa-weight:before{content:"\\f496"}.fa-user-friends:before,.fa-user-group:before{content:"\\f500"}.fa-arrow-up-a-z:before,.fa-sort-alpha-up:before{content:"\\f15e"}.fa-chess-knight:before{content:"\\f441"}.fa-face-laugh-squint:before,.fa-laugh-squint:before{content:"\\f59b"}.fa-wheelchair:before{content:"\\f193"}.fa-arrow-circle-up:before,.fa-circle-arrow-up:before{content:"\\f0aa"}.fa-toggle-on:before{content:"\\f205"}.fa-person-walking:before,.fa-walking:before{content:"\\f554"}.fa-l:before{content:"\\4c"}.fa-fire:before{content:"\\f06d"}.fa-bed-pulse:before,.fa-procedures:before{content:"\\f487"}.fa-shuttle-space:before,.fa-space-shuttle:before{content:"\\f197"}.fa-face-laugh:before,.fa-laugh:before{content:"\\f599"}.fa-folder-open:before{content:"\\f07c"}.fa-heart-circle-plus:before{content:"\\e500"}.fa-code-fork:before{content:"\\e13b"}.fa-city:before{content:"\\f64f"}.fa-microphone-alt:before,.fa-microphone-lines:before{content:"\\f3c9"}.fa-pepper-hot:before{content:"\\f816"}.fa-unlock:before{content:"\\f09c"}.fa-colon-sign:before{content:"\\e140"}.fa-headset:before{content:"\\f590"}.fa-store-slash:before{content:"\\e071"}.fa-road-circle-xmark:before{content:"\\e566"}.fa-user-minus:before{content:"\\f503"}.fa-mars-stroke-up:before,.fa-mars-stroke-v:before{content:"\\f22a"}.fa-champagne-glasses:before,.fa-glass-cheers:before{content:"\\f79f"}.fa-clipboard:before{content:"\\f328"}.fa-house-circle-exclamation:before{content:"\\e50a"}.fa-file-arrow-up:before,.fa-file-upload:before{content:"\\f574"}.fa-wifi-3:before,.fa-wifi-strong:before,.fa-wifi:before{content:"\\f1eb"}.fa-bath:before,.fa-bathtub:before{content:"\\f2cd"}.fa-underline:before{content:"\\f0cd"}.fa-user-edit:before,.fa-user-pen:before{content:"\\f4ff"}.fa-signature:before{content:"\\f5b7"}.fa-stroopwafel:before{content:"\\f551"}.fa-bold:before{content:"\\f032"}.fa-anchor-lock:before{content:"\\e4ad"}.fa-building-ngo:before{content:"\\e4d7"}.fa-manat-sign:before{content:"\\e1d5"}.fa-not-equal:before{content:"\\f53e"}.fa-border-style:before,.fa-border-top-left:before{content:"\\f853"}.fa-map-location-dot:before,.fa-map-marked-alt:before{content:"\\f5a0"}.fa-jedi:before{content:"\\f669"}.fa-poll:before,.fa-square-poll-vertical:before{content:"\\f681"}.fa-mug-hot:before{content:"\\f7b6"}.fa-battery-car:before,.fa-car-battery:before{content:"\\f5df"}.fa-gift:before{content:"\\f06b"}.fa-dice-two:before{content:"\\f528"}.fa-chess-queen:before{content:"\\f445"}.fa-glasses:before{content:"\\f530"}.fa-chess-board:before{content:"\\f43c"}.fa-building-circle-check:before{content:"\\e4d2"}.fa-person-chalkboard:before{content:"\\e53d"}.fa-mars-stroke-h:before,.fa-mars-stroke-right:before{content:"\\f22b"}.fa-hand-back-fist:before,.fa-hand-rock:before{content:"\\f255"}.fa-caret-square-up:before,.fa-square-caret-up:before{content:"\\f151"}.fa-cloud-showers-water:before{content:"\\e4e4"}.fa-bar-chart:before,.fa-chart-bar:before{content:"\\f080"}.fa-hands-bubbles:before,.fa-hands-wash:before{content:"\\e05e"}.fa-less-than-equal:before{content:"\\f537"}.fa-train:before{content:"\\f238"}.fa-eye-low-vision:before,.fa-low-vision:before{content:"\\f2a8"}.fa-crow:before{content:"\\f520"}.fa-sailboat:before{content:"\\e445"}.fa-window-restore:before{content:"\\f2d2"}.fa-plus-square:before,.fa-square-plus:before{content:"\\f0fe"}.fa-torii-gate:before{content:"\\f6a1"}.fa-frog:before{content:"\\f52e"}.fa-bucket:before{content:"\\e4cf"}.fa-image:before{content:"\\f03e"}.fa-microphone:before{content:"\\f130"}.fa-cow:before{content:"\\f6c8"}.fa-caret-up:before{content:"\\f0d8"}.fa-screwdriver:before{content:"\\f54a"}.fa-folder-closed:before{content:"\\e185"}.fa-house-tsunami:before{content:"\\e515"}.fa-square-nfi:before{content:"\\e576"}.fa-arrow-up-from-ground-water:before{content:"\\e4b5"}.fa-glass-martini-alt:before,.fa-martini-glass:before{content:"\\f57b"}.fa-rotate-back:before,.fa-rotate-backward:before,.fa-rotate-left:before,.fa-undo-alt:before{content:"\\f2ea"}.fa-columns:before,.fa-table-columns:before{content:"\\f0db"}.fa-lemon:before{content:"\\f094"}.fa-head-side-mask:before{content:"\\e063"}.fa-handshake:before{content:"\\f2b5"}.fa-gem:before{content:"\\f3a5"}.fa-dolly-box:before,.fa-dolly:before{content:"\\f472"}.fa-smoking:before{content:"\\f48d"}.fa-compress-arrows-alt:before,.fa-minimize:before{content:"\\f78c"}.fa-monument:before{content:"\\f5a6"}.fa-snowplow:before{content:"\\f7d2"}.fa-angle-double-right:before,.fa-angles-right:before{content:"\\f101"}.fa-cannabis:before{content:"\\f55f"}.fa-circle-play:before,.fa-play-circle:before{content:"\\f144"}.fa-tablets:before{content:"\\f490"}.fa-ethernet:before{content:"\\f796"}.fa-eur:before,.fa-euro-sign:before,.fa-euro:before{content:"\\f153"}.fa-chair:before{content:"\\f6c0"}.fa-check-circle:before,.fa-circle-check:before{content:"\\f058"}.fa-circle-stop:before,.fa-stop-circle:before{content:"\\f28d"}.fa-compass-drafting:before,.fa-drafting-compass:before{content:"\\f568"}.fa-plate-wheat:before{content:"\\e55a"}.fa-icicles:before{content:"\\f7ad"}.fa-person-shelter:before{content:"\\e54f"}.fa-neuter:before{content:"\\f22c"}.fa-id-badge:before{content:"\\f2c1"}.fa-marker:before{content:"\\f5a1"}.fa-face-laugh-beam:before,.fa-laugh-beam:before{content:"\\f59a"}.fa-helicopter-symbol:before{content:"\\e502"}.fa-universal-access:before{content:"\\f29a"}.fa-chevron-circle-up:before,.fa-circle-chevron-up:before{content:"\\f139"}.fa-lari-sign:before{content:"\\e1c8"}.fa-volcano:before{content:"\\f770"}.fa-person-walking-dashed-line-arrow-right:before{content:"\\e553"}.fa-gbp:before,.fa-pound-sign:before,.fa-sterling-sign:before{content:"\\f154"}.fa-viruses:before{content:"\\e076"}.fa-square-person-confined:before{content:"\\e577"}.fa-user-tie:before{content:"\\f508"}.fa-arrow-down-long:before,.fa-long-arrow-down:before{content:"\\f175"}.fa-tent-arrow-down-to-line:before{content:"\\e57e"}.fa-certificate:before{content:"\\f0a3"}.fa-mail-reply-all:before,.fa-reply-all:before{content:"\\f122"}.fa-suitcase:before{content:"\\f0f2"}.fa-person-skating:before,.fa-skating:before{content:"\\f7c5"}.fa-filter-circle-dollar:before,.fa-funnel-dollar:before{content:"\\f662"}.fa-camera-retro:before{content:"\\f083"}.fa-arrow-circle-down:before,.fa-circle-arrow-down:before{content:"\\f0ab"}.fa-arrow-right-to-file:before,.fa-file-import:before{content:"\\f56f"}.fa-external-link-square:before,.fa-square-arrow-up-right:before{content:"\\f14c"}.fa-box-open:before{content:"\\f49e"}.fa-scroll:before{content:"\\f70e"}.fa-spa:before{content:"\\f5bb"}.fa-location-pin-lock:before{content:"\\e51f"}.fa-pause:before{content:"\\f04c"}.fa-hill-avalanche:before{content:"\\e507"}.fa-temperature-0:before,.fa-temperature-empty:before,.fa-thermometer-0:before,.fa-thermometer-empty:before{content:"\\f2cb"}.fa-bomb:before{content:"\\f1e2"}.fa-registered:before{content:"\\f25d"}.fa-address-card:before,.fa-contact-card:before,.fa-vcard:before{content:"\\f2bb"}.fa-balance-scale-right:before,.fa-scale-unbalanced-flip:before{content:"\\f516"}.fa-subscript:before{content:"\\f12c"}.fa-diamond-turn-right:before,.fa-directions:before{content:"\\f5eb"}.fa-burst:before{content:"\\e4dc"}.fa-house-laptop:before,.fa-laptop-house:before{content:"\\e066"}.fa-face-tired:before,.fa-tired:before{content:"\\f5c8"}.fa-money-bills:before{content:"\\e1f3"}.fa-smog:before{content:"\\f75f"}.fa-crutch:before{content:"\\f7f7"}.fa-cloud-arrow-up:before,.fa-cloud-upload-alt:before,.fa-cloud-upload:before{content:"\\f0ee"}.fa-palette:before{content:"\\f53f"}.fa-arrows-turn-right:before{content:"\\e4c0"}.fa-vest:before{content:"\\e085"}.fa-ferry:before{content:"\\e4ea"}.fa-arrows-down-to-people:before{content:"\\e4b9"}.fa-seedling:before,.fa-sprout:before{content:"\\f4d8"}.fa-arrows-alt-h:before,.fa-left-right:before{content:"\\f337"}.fa-boxes-packing:before{content:"\\e4c7"}.fa-arrow-circle-left:before,.fa-circle-arrow-left:before{content:"\\f0a8"}.fa-group-arrows-rotate:before{content:"\\e4f6"}.fa-bowl-food:before{content:"\\e4c6"}.fa-candy-cane:before{content:"\\f786"}.fa-arrow-down-wide-short:before,.fa-sort-amount-asc:before,.fa-sort-amount-down:before{content:"\\f160"}.fa-cloud-bolt:before,.fa-thunderstorm:before{content:"\\f76c"}.fa-remove-format:before,.fa-text-slash:before{content:"\\f87d"}.fa-face-smile-wink:before,.fa-smile-wink:before{content:"\\f4da"}.fa-file-word:before{content:"\\f1c2"}.fa-file-powerpoint:before{content:"\\f1c4"}.fa-arrows-h:before,.fa-arrows-left-right:before{content:"\\f07e"}.fa-house-lock:before{content:"\\e510"}.fa-cloud-arrow-down:before,.fa-cloud-download-alt:before,.fa-cloud-download:before{content:"\\f0ed"}.fa-children:before{content:"\\e4e1"}.fa-blackboard:before,.fa-chalkboard:before{content:"\\f51b"}.fa-user-alt-slash:before,.fa-user-large-slash:before{content:"\\f4fa"}.fa-envelope-open:before{content:"\\f2b6"}.fa-handshake-alt-slash:before,.fa-handshake-simple-slash:before{content:"\\e05f"}.fa-mattress-pillow:before{content:"\\e525"}.fa-guarani-sign:before{content:"\\e19a"}.fa-arrows-rotate:before,.fa-refresh:before,.fa-sync:before{content:"\\f021"}.fa-fire-extinguisher:before{content:"\\f134"}.fa-cruzeiro-sign:before{content:"\\e152"}.fa-greater-than-equal:before{content:"\\f532"}.fa-shield-alt:before,.fa-shield-halved:before{content:"\\f3ed"}.fa-atlas:before,.fa-book-atlas:before{content:"\\f558"}.fa-virus:before{content:"\\e074"}.fa-envelope-circle-check:before{content:"\\e4e8"}.fa-layer-group:before{content:"\\f5fd"}.fa-arrows-to-dot:before{content:"\\e4be"}.fa-archway:before{content:"\\f557"}.fa-heart-circle-check:before{content:"\\e4fd"}.fa-house-chimney-crack:before,.fa-house-damage:before{content:"\\f6f1"}.fa-file-archive:before,.fa-file-zipper:before{content:"\\f1c6"}.fa-square:before{content:"\\f0c8"}.fa-glass-martini:before,.fa-martini-glass-empty:before{content:"\\f000"}.fa-couch:before{content:"\\f4b8"}.fa-cedi-sign:before{content:"\\e0df"}.fa-italic:before{content:"\\f033"}.fa-church:before{content:"\\f51d"}.fa-comments-dollar:before{content:"\\f653"}.fa-democrat:before{content:"\\f747"}.fa-z:before{content:"\\5a"}.fa-person-skiing:before,.fa-skiing:before{content:"\\f7c9"}.fa-road-lock:before{content:"\\e567"}.fa-a:before{content:"\\41"}.fa-temperature-arrow-down:before,.fa-temperature-down:before{content:"\\e03f"}.fa-feather-alt:before,.fa-feather-pointed:before{content:"\\f56b"}.fa-p:before{content:"\\50"}.fa-snowflake:before{content:"\\f2dc"}.fa-newspaper:before{content:"\\f1ea"}.fa-ad:before,.fa-rectangle-ad:before{content:"\\f641"}.fa-arrow-circle-right:before,.fa-circle-arrow-right:before{content:"\\f0a9"}.fa-filter-circle-xmark:before{content:"\\e17b"}.fa-locust:before{content:"\\e520"}.fa-sort:before,.fa-unsorted:before{content:"\\f0dc"}.fa-list-1-2:before,.fa-list-numeric:before,.fa-list-ol:before{content:"\\f0cb"}.fa-person-dress-burst:before{content:"\\e544"}.fa-money-check-alt:before,.fa-money-check-dollar:before{content:"\\f53d"}.fa-vector-square:before{content:"\\f5cb"}.fa-bread-slice:before{content:"\\f7ec"}.fa-language:before{content:"\\f1ab"}.fa-face-kiss-wink-heart:before,.fa-kiss-wink-heart:before{content:"\\f598"}.fa-filter:before{content:"\\f0b0"}.fa-question:before{content:"\\3f"}.fa-file-signature:before{content:"\\f573"}.fa-arrows-alt:before,.fa-up-down-left-right:before{content:"\\f0b2"}.fa-house-chimney-user:before{content:"\\e065"}.fa-hand-holding-heart:before{content:"\\f4be"}.fa-puzzle-piece:before{content:"\\f12e"}.fa-money-check:before{content:"\\f53c"}.fa-star-half-alt:before,.fa-star-half-stroke:before{content:"\\f5c0"}.fa-code:before{content:"\\f121"}.fa-glass-whiskey:before,.fa-whiskey-glass:before{content:"\\f7a0"}.fa-building-circle-exclamation:before{content:"\\e4d3"}.fa-magnifying-glass-chart:before{content:"\\e522"}.fa-arrow-up-right-from-square:before,.fa-external-link:before{content:"\\f08e"}.fa-cubes-stacked:before{content:"\\e4e6"}.fa-krw:before,.fa-won-sign:before,.fa-won:before{content:"\\f159"}.fa-virus-covid:before{content:"\\e4a8"}.fa-austral-sign:before{content:"\\e0a9"}.fa-f:before{content:"\\46"}.fa-leaf:before{content:"\\f06c"}.fa-road:before{content:"\\f018"}.fa-cab:before,.fa-taxi:before{content:"\\f1ba"}.fa-person-circle-plus:before{content:"\\e541"}.fa-chart-pie:before,.fa-pie-chart:before{content:"\\f200"}.fa-bolt-lightning:before{content:"\\e0b7"}.fa-sack-xmark:before{content:"\\e56a"}.fa-file-excel:before{content:"\\f1c3"}.fa-file-contract:before{content:"\\f56c"}.fa-fish-fins:before{content:"\\e4f2"}.fa-building-flag:before{content:"\\e4d5"}.fa-face-grin-beam:before,.fa-grin-beam:before{content:"\\f582"}.fa-object-ungroup:before{content:"\\f248"}.fa-poop:before{content:"\\f619"}.fa-location-pin:before,.fa-map-marker:before{content:"\\f041"}.fa-kaaba:before{content:"\\f66b"}.fa-toilet-paper:before{content:"\\f71e"}.fa-hard-hat:before,.fa-hat-hard:before,.fa-helmet-safety:before{content:"\\f807"}.fa-eject:before{content:"\\f052"}.fa-arrow-alt-circle-right:before,.fa-circle-right:before{content:"\\f35a"}.fa-plane-circle-check:before{content:"\\e555"}.fa-face-rolling-eyes:before,.fa-meh-rolling-eyes:before{content:"\\f5a5"}.fa-object-group:before{content:"\\f247"}.fa-chart-line:before,.fa-line-chart:before{content:"\\f201"}.fa-mask-ventilator:before{content:"\\e524"}.fa-arrow-right:before{content:"\\f061"}.fa-map-signs:before,.fa-signs-post:before{content:"\\f277"}.fa-cash-register:before{content:"\\f788"}.fa-person-circle-question:before{content:"\\e542"}.fa-h:before{content:"\\48"}.fa-tarp:before{content:"\\e57b"}.fa-screwdriver-wrench:before,.fa-tools:before{content:"\\f7d9"}.fa-arrows-to-eye:before{content:"\\e4bf"}.fa-plug-circle-bolt:before{content:"\\e55b"}.fa-heart:before{content:"\\f004"}.fa-mars-and-venus:before{content:"\\f224"}.fa-home-user:before,.fa-house-user:before{content:"\\e1b0"}.fa-dumpster-fire:before{content:"\\f794"}.fa-house-crack:before{content:"\\e3b1"}.fa-cocktail:before,.fa-martini-glass-citrus:before{content:"\\f561"}.fa-face-surprise:before,.fa-surprise:before{content:"\\f5c2"}.fa-bottle-water:before{content:"\\e4c5"}.fa-circle-pause:before,.fa-pause-circle:before{content:"\\f28b"}.fa-toilet-paper-slash:before{content:"\\e072"}.fa-apple-alt:before,.fa-apple-whole:before{content:"\\f5d1"}.fa-kitchen-set:before{content:"\\e51a"}.fa-r:before{content:"\\52"}.fa-temperature-1:before,.fa-temperature-quarter:before,.fa-thermometer-1:before,.fa-thermometer-quarter:before{content:"\\f2ca"}.fa-cube:before{content:"\\f1b2"}.fa-bitcoin-sign:before{content:"\\e0b4"}.fa-shield-dog:before{content:"\\e573"}.fa-solar-panel:before{content:"\\f5ba"}.fa-lock-open:before{content:"\\f3c1"}.fa-elevator:before{content:"\\e16d"}.fa-money-bill-transfer:before{content:"\\e528"}.fa-money-bill-trend-up:before{content:"\\e529"}.fa-house-flood-water-circle-arrow-right:before{content:"\\e50f"}.fa-poll-h:before,.fa-square-poll-horizontal:before{content:"\\f682"}.fa-circle:before{content:"\\f111"}.fa-backward-fast:before,.fa-fast-backward:before{content:"\\f049"}.fa-recycle:before{content:"\\f1b8"}.fa-user-astronaut:before{content:"\\f4fb"}.fa-plane-slash:before{content:"\\e069"}.fa-trademark:before{content:"\\f25c"}.fa-basketball-ball:before,.fa-basketball:before{content:"\\f434"}.fa-satellite-dish:before{content:"\\f7c0"}.fa-arrow-alt-circle-up:before,.fa-circle-up:before{content:"\\f35b"}.fa-mobile-alt:before,.fa-mobile-screen-button:before{content:"\\f3cd"}.fa-volume-high:before,.fa-volume-up:before{content:"\\f028"}.fa-users-rays:before{content:"\\e593"}.fa-wallet:before{content:"\\f555"}.fa-clipboard-check:before{content:"\\f46c"}.fa-file-audio:before{content:"\\f1c7"}.fa-burger:before,.fa-hamburger:before{content:"\\f805"}.fa-wrench:before{content:"\\f0ad"}.fa-bugs:before{content:"\\e4d0"}.fa-rupee-sign:before,.fa-rupee:before{content:"\\f156"}.fa-file-image:before{content:"\\f1c5"}.fa-circle-question:before,.fa-question-circle:before{content:"\\f059"}.fa-plane-departure:before{content:"\\f5b0"}.fa-handshake-slash:before{content:"\\e060"}.fa-book-bookmark:before{content:"\\e0bb"}.fa-code-branch:before{content:"\\f126"}.fa-hat-cowboy:before{content:"\\f8c0"}.fa-bridge:before{content:"\\e4c8"}.fa-phone-alt:before,.fa-phone-flip:before{content:"\\f879"}.fa-truck-front:before{content:"\\e2b7"}.fa-cat:before{content:"\\f6be"}.fa-anchor-circle-exclamation:before{content:"\\e4ab"}.fa-truck-field:before{content:"\\e58d"}.fa-route:before{content:"\\f4d7"}.fa-clipboard-question:before{content:"\\e4e3"}.fa-panorama:before{content:"\\e209"}.fa-comment-medical:before{content:"\\f7f5"}.fa-teeth-open:before{content:"\\f62f"}.fa-file-circle-minus:before{content:"\\e4ed"}.fa-tags:before{content:"\\f02c"}.fa-wine-glass:before{content:"\\f4e3"}.fa-fast-forward:before,.fa-forward-fast:before{content:"\\f050"}.fa-face-meh-blank:before,.fa-meh-blank:before{content:"\\f5a4"}.fa-parking:before,.fa-square-parking:before{content:"\\f540"}.fa-house-signal:before{content:"\\e012"}.fa-bars-progress:before,.fa-tasks-alt:before{content:"\\f828"}.fa-faucet-drip:before{content:"\\e006"}.fa-cart-flatbed:before,.fa-dolly-flatbed:before{content:"\\f474"}.fa-ban-smoking:before,.fa-smoking-ban:before{content:"\\f54d"}.fa-terminal:before{content:"\\f120"}.fa-mobile-button:before{content:"\\f10b"}.fa-house-medical-flag:before{content:"\\e514"}.fa-basket-shopping:before,.fa-shopping-basket:before{content:"\\f291"}.fa-tape:before{content:"\\f4db"}.fa-bus-alt:before,.fa-bus-simple:before{content:"\\f55e"}.fa-eye:before{content:"\\f06e"}.fa-face-sad-cry:before,.fa-sad-cry:before{content:"\\f5b3"}.fa-audio-description:before{content:"\\f29e"}.fa-person-military-to-person:before{content:"\\e54c"}.fa-file-shield:before{content:"\\e4f0"}.fa-user-slash:before{content:"\\f506"}.fa-pen:before{content:"\\f304"}.fa-tower-observation:before{content:"\\e586"}.fa-file-code:before{content:"\\f1c9"}.fa-signal-5:before,.fa-signal-perfect:before,.fa-signal:before{content:"\\f012"}.fa-bus:before{content:"\\f207"}.fa-heart-circle-xmark:before{content:"\\e501"}.fa-home-lg:before,.fa-house-chimney:before{content:"\\e3af"}.fa-window-maximize:before{content:"\\f2d0"}.fa-face-frown:before,.fa-frown:before{content:"\\f119"}.fa-prescription:before{content:"\\f5b1"}.fa-shop:before,.fa-store-alt:before{content:"\\f54f"}.fa-floppy-disk:before,.fa-save:before{content:"\\f0c7"}.fa-vihara:before{content:"\\f6a7"}.fa-balance-scale-left:before,.fa-scale-unbalanced:before{content:"\\f515"}.fa-sort-asc:before,.fa-sort-up:before{content:"\\f0de"}.fa-comment-dots:before,.fa-commenting:before{content:"\\f4ad"}.fa-plant-wilt:before{content:"\\e5aa"}.fa-diamond:before{content:"\\f219"}.fa-face-grin-squint:before,.fa-grin-squint:before{content:"\\f585"}.fa-hand-holding-dollar:before,.fa-hand-holding-usd:before{content:"\\f4c0"}.fa-bacterium:before{content:"\\e05a"}.fa-hand-pointer:before{content:"\\f25a"}.fa-drum-steelpan:before{content:"\\f56a"}.fa-hand-scissors:before{content:"\\f257"}.fa-hands-praying:before,.fa-praying-hands:before{content:"\\f684"}.fa-arrow-right-rotate:before,.fa-arrow-rotate-forward:before,.fa-arrow-rotate-right:before,.fa-redo:before{content:"\\f01e"}.fa-biohazard:before{content:"\\f780"}.fa-location-crosshairs:before,.fa-location:before{content:"\\f601"}.fa-mars-double:before{content:"\\f227"}.fa-child-dress:before{content:"\\e59c"}.fa-users-between-lines:before{content:"\\e591"}.fa-lungs-virus:before{content:"\\e067"}.fa-face-grin-tears:before,.fa-grin-tears:before{content:"\\f588"}.fa-phone:before{content:"\\f095"}.fa-calendar-times:before,.fa-calendar-xmark:before{content:"\\f273"}.fa-child-reaching:before{content:"\\e59d"}.fa-head-side-virus:before{content:"\\e064"}.fa-user-cog:before,.fa-user-gear:before{content:"\\f4fe"}.fa-arrow-up-1-9:before,.fa-sort-numeric-up:before{content:"\\f163"}.fa-door-closed:before{content:"\\f52a"}.fa-shield-virus:before{content:"\\e06c"}.fa-dice-six:before{content:"\\f526"}.fa-mosquito-net:before{content:"\\e52c"}.fa-bridge-water:before{content:"\\e4ce"}.fa-person-booth:before{content:"\\f756"}.fa-text-width:before{content:"\\f035"}.fa-hat-wizard:before{content:"\\f6e8"}.fa-pen-fancy:before{content:"\\f5ac"}.fa-digging:before,.fa-person-digging:before{content:"\\f85e"}.fa-trash:before{content:"\\f1f8"}.fa-gauge-simple-med:before,.fa-gauge-simple:before,.fa-tachometer-average:before{content:"\\f629"}.fa-book-medical:before{content:"\\f7e6"}.fa-poo:before{content:"\\f2fe"}.fa-quote-right-alt:before,.fa-quote-right:before{content:"\\f10e"}.fa-shirt:before,.fa-t-shirt:before,.fa-tshirt:before{content:"\\f553"}.fa-cubes:before{content:"\\f1b3"}.fa-divide:before{content:"\\f529"}.fa-tenge-sign:before,.fa-tenge:before{content:"\\f7d7"}.fa-headphones:before{content:"\\f025"}.fa-hands-holding:before{content:"\\f4c2"}.fa-hands-clapping:before{content:"\\e1a8"}.fa-republican:before{content:"\\f75e"}.fa-arrow-left:before{content:"\\f060"}.fa-person-circle-xmark:before{content:"\\e543"}.fa-ruler:before{content:"\\f545"}.fa-align-left:before{content:"\\f036"}.fa-dice-d6:before{content:"\\f6d1"}.fa-restroom:before{content:"\\f7bd"}.fa-j:before{content:"\\4a"}.fa-users-viewfinder:before{content:"\\e595"}.fa-file-video:before{content:"\\f1c8"}.fa-external-link-alt:before,.fa-up-right-from-square:before{content:"\\f35d"}.fa-table-cells:before,.fa-th:before{content:"\\f00a"}.fa-file-pdf:before{content:"\\f1c1"}.fa-bible:before,.fa-book-bible:before{content:"\\f647"}.fa-o:before{content:"\\4f"}.fa-medkit:before,.fa-suitcase-medical:before{content:"\\f0fa"}.fa-user-secret:before{content:"\\f21b"}.fa-otter:before{content:"\\f700"}.fa-female:before,.fa-person-dress:before{content:"\\f182"}.fa-comment-dollar:before{content:"\\f651"}.fa-briefcase-clock:before,.fa-business-time:before{content:"\\f64a"}.fa-table-cells-large:before,.fa-th-large:before{content:"\\f009"}.fa-book-tanakh:before,.fa-tanakh:before{content:"\\f827"}.fa-phone-volume:before,.fa-volume-control-phone:before{content:"\\f2a0"}.fa-hat-cowboy-side:before{content:"\\f8c1"}.fa-clipboard-user:before{content:"\\f7f3"}.fa-child:before{content:"\\f1ae"}.fa-lira-sign:before{content:"\\f195"}.fa-satellite:before{content:"\\f7bf"}.fa-plane-lock:before{content:"\\e558"}.fa-tag:before{content:"\\f02b"}.fa-comment:before{content:"\\f075"}.fa-birthday-cake:before,.fa-cake-candles:before,.fa-cake:before{content:"\\f1fd"}.fa-envelope:before{content:"\\f0e0"}.fa-angle-double-up:before,.fa-angles-up:before{content:"\\f102"}.fa-paperclip:before{content:"\\f0c6"}.fa-arrow-right-to-city:before{content:"\\e4b3"}.fa-ribbon:before{content:"\\f4d6"}.fa-lungs:before{content:"\\f604"}.fa-arrow-up-9-1:before,.fa-sort-numeric-up-alt:before{content:"\\f887"}.fa-litecoin-sign:before{content:"\\e1d3"}.fa-border-none:before{content:"\\f850"}.fa-circle-nodes:before{content:"\\e4e2"}.fa-parachute-box:before{content:"\\f4cd"}.fa-indent:before{content:"\\f03c"}.fa-truck-field-un:before{content:"\\e58e"}.fa-hourglass-empty:before,.fa-hourglass:before{content:"\\f254"}.fa-mountain:before{content:"\\f6fc"}.fa-user-doctor:before,.fa-user-md:before{content:"\\f0f0"}.fa-circle-info:before,.fa-info-circle:before{content:"\\f05a"}.fa-cloud-meatball:before{content:"\\f73b"}.fa-camera-alt:before,.fa-camera:before{content:"\\f030"}.fa-square-virus:before{content:"\\e578"}.fa-meteor:before{content:"\\f753"}.fa-car-on:before{content:"\\e4dd"}.fa-sleigh:before{content:"\\f7cc"}.fa-arrow-down-1-9:before,.fa-sort-numeric-asc:before,.fa-sort-numeric-down:before{content:"\\f162"}.fa-hand-holding-droplet:before,.fa-hand-holding-water:before{content:"\\f4c1"}.fa-water:before{content:"\\f773"}.fa-calendar-check:before{content:"\\f274"}.fa-braille:before{content:"\\f2a1"}.fa-prescription-bottle-alt:before,.fa-prescription-bottle-medical:before{content:"\\f486"}.fa-landmark:before{content:"\\f66f"}.fa-truck:before{content:"\\f0d1"}.fa-crosshairs:before{content:"\\f05b"}.fa-person-cane:before{content:"\\e53c"}.fa-tent:before{content:"\\e57d"}.fa-vest-patches:before{content:"\\e086"}.fa-check-double:before{content:"\\f560"}.fa-arrow-down-a-z:before,.fa-sort-alpha-asc:before,.fa-sort-alpha-down:before{content:"\\f15d"}.fa-money-bill-wheat:before{content:"\\e52a"}.fa-cookie:before{content:"\\f563"}.fa-arrow-left-rotate:before,.fa-arrow-rotate-back:before,.fa-arrow-rotate-backward:before,.fa-arrow-rotate-left:before,.fa-undo:before{content:"\\f0e2"}.fa-hard-drive:before,.fa-hdd:before{content:"\\f0a0"}.fa-face-grin-squint-tears:before,.fa-grin-squint-tears:before{content:"\\f586"}.fa-dumbbell:before{content:"\\f44b"}.fa-list-alt:before,.fa-rectangle-list:before{content:"\\f022"}.fa-tarp-droplet:before{content:"\\e57c"}.fa-house-medical-circle-check:before{content:"\\e511"}.fa-person-skiing-nordic:before,.fa-skiing-nordic:before{content:"\\f7ca"}.fa-calendar-plus:before{content:"\\f271"}.fa-plane-arrival:before{content:"\\f5af"}.fa-arrow-alt-circle-left:before,.fa-circle-left:before{content:"\\f359"}.fa-subway:before,.fa-train-subway:before{content:"\\f239"}.fa-chart-gantt:before{content:"\\e0e4"}.fa-indian-rupee-sign:before,.fa-indian-rupee:before,.fa-inr:before{content:"\\e1bc"}.fa-crop-alt:before,.fa-crop-simple:before{content:"\\f565"}.fa-money-bill-1:before,.fa-money-bill-alt:before{content:"\\f3d1"}.fa-left-long:before,.fa-long-arrow-alt-left:before{content:"\\f30a"}.fa-dna:before{content:"\\f471"}.fa-virus-slash:before{content:"\\e075"}.fa-minus:before,.fa-subtract:before{content:"\\f068"}.fa-chess:before{content:"\\f439"}.fa-arrow-left-long:before,.fa-long-arrow-left:before{content:"\\f177"}.fa-plug-circle-check:before{content:"\\e55c"}.fa-street-view:before{content:"\\f21d"}.fa-franc-sign:before{content:"\\e18f"}.fa-volume-off:before{content:"\\f026"}.fa-american-sign-language-interpreting:before,.fa-asl-interpreting:before,.fa-hands-american-sign-language-interpreting:before,.fa-hands-asl-interpreting:before{content:"\\f2a3"}.fa-cog:before,.fa-gear:before{content:"\\f013"}.fa-droplet-slash:before,.fa-tint-slash:before{content:"\\f5c7"}.fa-mosque:before{content:"\\f678"}.fa-mosquito:before{content:"\\e52b"}.fa-star-of-david:before{content:"\\f69a"}.fa-person-military-rifle:before{content:"\\e54b"}.fa-cart-shopping:before,.fa-shopping-cart:before{content:"\\f07a"}.fa-vials:before{content:"\\f493"}.fa-plug-circle-plus:before{content:"\\e55f"}.fa-place-of-worship:before{content:"\\f67f"}.fa-grip-vertical:before{content:"\\f58e"}.fa-arrow-turn-up:before,.fa-level-up:before{content:"\\f148"}.fa-u:before{content:"\\55"}.fa-square-root-alt:before,.fa-square-root-variable:before{content:"\\f698"}.fa-clock-four:before,.fa-clock:before{content:"\\f017"}.fa-backward-step:before,.fa-step-backward:before{content:"\\f048"}.fa-pallet:before{content:"\\f482"}.fa-faucet:before{content:"\\e005"}.fa-baseball-bat-ball:before{content:"\\f432"}.fa-s:before{content:"\\53"}.fa-timeline:before{content:"\\e29c"}.fa-keyboard:before{content:"\\f11c"}.fa-caret-down:before{content:"\\f0d7"}.fa-clinic-medical:before,.fa-house-chimney-medical:before{content:"\\f7f2"}.fa-temperature-3:before,.fa-temperature-three-quarters:before,.fa-thermometer-3:before,.fa-thermometer-three-quarters:before{content:"\\f2c8"}.fa-mobile-android-alt:before,.fa-mobile-screen:before{content:"\\f3cf"}.fa-plane-up:before{content:"\\e22d"}.fa-piggy-bank:before{content:"\\f4d3"}.fa-battery-3:before,.fa-battery-half:before{content:"\\f242"}.fa-mountain-city:before{content:"\\e52e"}.fa-coins:before{content:"\\f51e"}.fa-khanda:before{content:"\\f66d"}.fa-sliders-h:before,.fa-sliders:before{content:"\\f1de"}.fa-folder-tree:before{content:"\\f802"}.fa-network-wired:before{content:"\\f6ff"}.fa-map-pin:before{content:"\\f276"}.fa-hamsa:before{content:"\\f665"}.fa-cent-sign:before{content:"\\e3f5"}.fa-flask:before{content:"\\f0c3"}.fa-person-pregnant:before{content:"\\e31e"}.fa-wand-sparkles:before{content:"\\f72b"}.fa-ellipsis-v:before,.fa-ellipsis-vertical:before{content:"\\f142"}.fa-ticket:before{content:"\\f145"}.fa-power-off:before{content:"\\f011"}.fa-long-arrow-alt-right:before,.fa-right-long:before{content:"\\f30b"}.fa-flag-usa:before{content:"\\f74d"}.fa-laptop-file:before{content:"\\e51d"}.fa-teletype:before,.fa-tty:before{content:"\\f1e4"}.fa-diagram-next:before{content:"\\e476"}.fa-person-rifle:before{content:"\\e54e"}.fa-house-medical-circle-exclamation:before{content:"\\e512"}.fa-closed-captioning:before{content:"\\f20a"}.fa-hiking:before,.fa-person-hiking:before{content:"\\f6ec"}.fa-venus-double:before{content:"\\f226"}.fa-images:before{content:"\\f302"}.fa-calculator:before{content:"\\f1ec"}.fa-people-pulling:before{content:"\\e535"}.fa-n:before{content:"\\4e"}.fa-cable-car:before,.fa-tram:before{content:"\\f7da"}.fa-cloud-rain:before{content:"\\f73d"}.fa-building-circle-xmark:before{content:"\\e4d4"}.fa-ship:before{content:"\\f21a"}.fa-arrows-down-to-line:before{content:"\\e4b8"}.fa-download:before{content:"\\f019"}.fa-face-grin:before,.fa-grin:before{content:"\\f580"}.fa-backspace:before,.fa-delete-left:before{content:"\\f55a"}.fa-eye-dropper-empty:before,.fa-eye-dropper:before,.fa-eyedropper:before{content:"\\f1fb"}.fa-file-circle-check:before{content:"\\e5a0"}.fa-forward:before{content:"\\f04e"}.fa-mobile-android:before,.fa-mobile-phone:before,.fa-mobile:before{content:"\\f3ce"}.fa-face-meh:before,.fa-meh:before{content:"\\f11a"}.fa-align-center:before{content:"\\f037"}.fa-book-dead:before,.fa-book-skull:before{content:"\\f6b7"}.fa-drivers-license:before,.fa-id-card:before{content:"\\f2c2"}.fa-dedent:before,.fa-outdent:before{content:"\\f03b"}.fa-heart-circle-exclamation:before{content:"\\e4fe"}.fa-home-alt:before,.fa-home-lg-alt:before,.fa-home:before,.fa-house:before{content:"\\f015"}.fa-calendar-week:before{content:"\\f784"}.fa-laptop-medical:before{content:"\\f812"}.fa-b:before{content:"\\42"}.fa-file-medical:before{content:"\\f477"}.fa-dice-one:before{content:"\\f525"}.fa-kiwi-bird:before{content:"\\f535"}.fa-arrow-right-arrow-left:before,.fa-exchange:before{content:"\\f0ec"}.fa-redo-alt:before,.fa-rotate-forward:before,.fa-rotate-right:before{content:"\\f2f9"}.fa-cutlery:before,.fa-utensils:before{content:"\\f2e7"}.fa-arrow-up-wide-short:before,.fa-sort-amount-up:before{content:"\\f161"}.fa-mill-sign:before{content:"\\e1ed"}.fa-bowl-rice:before{content:"\\e2eb"}.fa-skull:before{content:"\\f54c"}.fa-broadcast-tower:before,.fa-tower-broadcast:before{content:"\\f519"}.fa-truck-pickup:before{content:"\\f63c"}.fa-long-arrow-alt-up:before,.fa-up-long:before{content:"\\f30c"}.fa-stop:before{content:"\\f04d"}.fa-code-merge:before{content:"\\f387"}.fa-upload:before{content:"\\f093"}.fa-hurricane:before{content:"\\f751"}.fa-mound:before{content:"\\e52d"}.fa-toilet-portable:before{content:"\\e583"}.fa-compact-disc:before{content:"\\f51f"}.fa-file-arrow-down:before,.fa-file-download:before{content:"\\f56d"}.fa-caravan:before{content:"\\f8ff"}.fa-shield-cat:before{content:"\\e572"}.fa-bolt:before,.fa-zap:before{content:"\\f0e7"}.fa-glass-water:before{content:"\\e4f4"}.fa-oil-well:before{content:"\\e532"}.fa-vault:before{content:"\\e2c5"}.fa-mars:before{content:"\\f222"}.fa-toilet:before{content:"\\f7d8"}.fa-plane-circle-xmark:before{content:"\\e557"}.fa-cny:before,.fa-jpy:before,.fa-rmb:before,.fa-yen-sign:before,.fa-yen:before{content:"\\f157"}.fa-rouble:before,.fa-rub:before,.fa-ruble-sign:before,.fa-ruble:before{content:"\\f158"}.fa-sun:before{content:"\\f185"}.fa-guitar:before{content:"\\f7a6"}.fa-face-laugh-wink:before,.fa-laugh-wink:before{content:"\\f59c"}.fa-horse-head:before{content:"\\f7ab"}.fa-bore-hole:before{content:"\\e4c3"}.fa-industry:before{content:"\\f275"}.fa-arrow-alt-circle-down:before,.fa-circle-down:before{content:"\\f358"}.fa-arrows-turn-to-dots:before{content:"\\e4c1"}.fa-florin-sign:before{content:"\\e184"}.fa-arrow-down-short-wide:before,.fa-sort-amount-desc:before,.fa-sort-amount-down-alt:before{content:"\\f884"}.fa-less-than:before{content:"\\3c"}.fa-angle-down:before{content:"\\f107"}.fa-car-tunnel:before{content:"\\e4de"}.fa-head-side-cough:before{content:"\\e061"}.fa-grip-lines:before{content:"\\f7a4"}.fa-thumbs-down:before{content:"\\f165"}.fa-user-lock:before{content:"\\f502"}.fa-arrow-right-long:before,.fa-long-arrow-right:before{content:"\\f178"}.fa-anchor-circle-xmark:before{content:"\\e4ac"}.fa-ellipsis-h:before,.fa-ellipsis:before{content:"\\f141"}.fa-chess-pawn:before{content:"\\f443"}.fa-first-aid:before,.fa-kit-medical:before{content:"\\f479"}.fa-person-through-window:before{content:"\\e5a9"}.fa-toolbox:before{content:"\\f552"}.fa-hands-holding-circle:before{content:"\\e4fb"}.fa-bug:before{content:"\\f188"}.fa-credit-card-alt:before,.fa-credit-card:before{content:"\\f09d"}.fa-automobile:before,.fa-car:before{content:"\\f1b9"}.fa-hand-holding-hand:before{content:"\\e4f7"}.fa-book-open-reader:before,.fa-book-reader:before{content:"\\f5da"}.fa-mountain-sun:before{content:"\\e52f"}.fa-arrows-left-right-to-line:before{content:"\\e4ba"}.fa-dice-d20:before{content:"\\f6cf"}.fa-truck-droplet:before{content:"\\e58c"}.fa-file-circle-xmark:before{content:"\\e5a1"}.fa-temperature-arrow-up:before,.fa-temperature-up:before{content:"\\e040"}.fa-medal:before{content:"\\f5a2"}.fa-bed:before{content:"\\f236"}.fa-h-square:before,.fa-square-h:before{content:"\\f0fd"}.fa-podcast:before{content:"\\f2ce"}.fa-temperature-4:before,.fa-temperature-full:before,.fa-thermometer-4:before,.fa-thermometer-full:before{content:"\\f2c7"}.fa-bell:before{content:"\\f0f3"}.fa-superscript:before{content:"\\f12b"}.fa-plug-circle-xmark:before{content:"\\e560"}.fa-star-of-life:before{content:"\\f621"}.fa-phone-slash:before{content:"\\f3dd"}.fa-paint-roller:before{content:"\\f5aa"}.fa-hands-helping:before,.fa-handshake-angle:before{content:"\\f4c4"}.fa-location-dot:before,.fa-map-marker-alt:before{content:"\\f3c5"}.fa-file:before{content:"\\f15b"}.fa-greater-than:before{content:"\\3e"}.fa-person-swimming:before,.fa-swimmer:before{content:"\\f5c4"}.fa-arrow-down:before{content:"\\f063"}.fa-droplet:before,.fa-tint:before{content:"\\f043"}.fa-eraser:before{content:"\\f12d"}.fa-earth-america:before,.fa-earth-americas:before,.fa-earth:before,.fa-globe-americas:before{content:"\\f57d"}.fa-person-burst:before{content:"\\e53b"}.fa-dove:before{content:"\\f4ba"}.fa-battery-0:before,.fa-battery-empty:before{content:"\\f244"}.fa-socks:before{content:"\\f696"}.fa-inbox:before{content:"\\f01c"}.fa-section:before{content:"\\e447"}.fa-gauge-high:before,.fa-tachometer-alt-fast:before,.fa-tachometer-alt:before{content:"\\f625"}.fa-envelope-open-text:before{content:"\\f658"}.fa-hospital-alt:before,.fa-hospital-wide:before,.fa-hospital:before{content:"\\f0f8"}.fa-wine-bottle:before{content:"\\f72f"}.fa-chess-rook:before{content:"\\f447"}.fa-bars-staggered:before,.fa-reorder:before,.fa-stream:before{content:"\\f550"}.fa-dharmachakra:before{content:"\\f655"}.fa-hotdog:before{content:"\\f80f"}.fa-blind:before,.fa-person-walking-with-cane:before{content:"\\f29d"}.fa-drum:before{content:"\\f569"}.fa-ice-cream:before{content:"\\f810"}.fa-heart-circle-bolt:before{content:"\\e4fc"}.fa-fax:before{content:"\\f1ac"}.fa-paragraph:before{content:"\\f1dd"}.fa-check-to-slot:before,.fa-vote-yea:before{content:"\\f772"}.fa-star-half:before{content:"\\f089"}.fa-boxes-alt:before,.fa-boxes-stacked:before,.fa-boxes:before{content:"\\f468"}.fa-chain:before,.fa-link:before{content:"\\f0c1"}.fa-assistive-listening-systems:before,.fa-ear-listen:before{content:"\\f2a2"}.fa-tree-city:before{content:"\\e587"}.fa-play:before{content:"\\f04b"}.fa-font:before{content:"\\f031"}.fa-rupiah-sign:before{content:"\\e23d"}.fa-magnifying-glass:before,.fa-search:before{content:"\\f002"}.fa-ping-pong-paddle-ball:before,.fa-table-tennis-paddle-ball:before,.fa-table-tennis:before{content:"\\f45d"}.fa-diagnoses:before,.fa-person-dots-from-line:before{content:"\\f470"}.fa-trash-can-arrow-up:before,.fa-trash-restore-alt:before{content:"\\f82a"}.fa-naira-sign:before{content:"\\e1f6"}.fa-cart-arrow-down:before{content:"\\f218"}.fa-walkie-talkie:before{content:"\\f8ef"}.fa-file-edit:before,.fa-file-pen:before{content:"\\f31c"}.fa-receipt:before{content:"\\f543"}.fa-pen-square:before,.fa-pencil-square:before,.fa-square-pen:before{content:"\\f14b"}.fa-suitcase-rolling:before{content:"\\f5c1"}.fa-person-circle-exclamation:before{content:"\\e53f"}.fa-chevron-down:before{content:"\\f078"}.fa-battery-5:before,.fa-battery-full:before,.fa-battery:before{content:"\\f240"}.fa-skull-crossbones:before{content:"\\f714"}.fa-code-compare:before{content:"\\e13a"}.fa-list-dots:before,.fa-list-ul:before{content:"\\f0ca"}.fa-school-lock:before{content:"\\e56f"}.fa-tower-cell:before{content:"\\e585"}.fa-down-long:before,.fa-long-arrow-alt-down:before{content:"\\f309"}.fa-ranking-star:before{content:"\\e561"}.fa-chess-king:before{content:"\\f43f"}.fa-person-harassing:before{content:"\\e549"}.fa-brazilian-real-sign:before{content:"\\e46c"}.fa-landmark-alt:before,.fa-landmark-dome:before{content:"\\f752"}.fa-arrow-up:before{content:"\\f062"}.fa-television:before,.fa-tv-alt:before,.fa-tv:before{content:"\\f26c"}.fa-shrimp:before{content:"\\e448"}.fa-list-check:before,.fa-tasks:before{content:"\\f0ae"}.fa-jug-detergent:before{content:"\\e519"}.fa-circle-user:before,.fa-user-circle:before{content:"\\f2bd"}.fa-user-shield:before{content:"\\f505"}.fa-wind:before{content:"\\f72e"}.fa-car-burst:before,.fa-car-crash:before{content:"\\f5e1"}.fa-y:before{content:"\\59"}.fa-person-snowboarding:before,.fa-snowboarding:before{content:"\\f7ce"}.fa-shipping-fast:before,.fa-truck-fast:before{content:"\\f48b"}.fa-fish:before{content:"\\f578"}.fa-user-graduate:before{content:"\\f501"}.fa-adjust:before,.fa-circle-half-stroke:before{content:"\\f042"}.fa-clapperboard:before{content:"\\e131"}.fa-circle-radiation:before,.fa-radiation-alt:before{content:"\\f7ba"}.fa-baseball-ball:before,.fa-baseball:before{content:"\\f433"}.fa-jet-fighter-up:before{content:"\\e518"}.fa-diagram-project:before,.fa-project-diagram:before{content:"\\f542"}.fa-copy:before{content:"\\f0c5"}.fa-volume-mute:before,.fa-volume-times:before,.fa-volume-xmark:before{content:"\\f6a9"}.fa-hand-sparkles:before{content:"\\e05d"}.fa-grip-horizontal:before,.fa-grip:before{content:"\\f58d"}.fa-share-from-square:before,.fa-share-square:before{content:"\\f14d"}.fa-child-combatant:before,.fa-child-rifle:before{content:"\\e4e0"}.fa-gun:before{content:"\\e19b"}.fa-phone-square:before,.fa-square-phone:before{content:"\\f098"}.fa-add:before,.fa-plus:before{content:"\\2b"}.fa-expand:before{content:"\\f065"}.fa-computer:before{content:"\\e4e5"}.fa-close:before,.fa-multiply:before,.fa-remove:before,.fa-times:before,.fa-xmark:before{content:"\\f00d"}.fa-arrows-up-down-left-right:before,.fa-arrows:before{content:"\\f047"}.fa-chalkboard-teacher:before,.fa-chalkboard-user:before{content:"\\f51c"}.fa-peso-sign:before{content:"\\e222"}.fa-building-shield:before{content:"\\e4d8"}.fa-baby:before{content:"\\f77c"}.fa-users-line:before{content:"\\e592"}.fa-quote-left-alt:before,.fa-quote-left:before{content:"\\f10d"}.fa-tractor:before{content:"\\f722"}.fa-trash-arrow-up:before,.fa-trash-restore:before{content:"\\f829"}.fa-arrow-down-up-lock:before{content:"\\e4b0"}.fa-lines-leaning:before{content:"\\e51e"}.fa-ruler-combined:before{content:"\\f546"}.fa-copyright:before{content:"\\f1f9"}.fa-equals:before{content:"\\3d"}.fa-blender:before{content:"\\f517"}.fa-teeth:before{content:"\\f62e"}.fa-ils:before,.fa-shekel-sign:before,.fa-shekel:before,.fa-sheqel-sign:before,.fa-sheqel:before{content:"\\f20b"}.fa-map:before{content:"\\f279"}.fa-rocket:before{content:"\\f135"}.fa-photo-film:before,.fa-photo-video:before{content:"\\f87c"}.fa-folder-minus:before{content:"\\f65d"}.fa-store:before{content:"\\f54e"}.fa-arrow-trend-up:before{content:"\\e098"}.fa-plug-circle-minus:before{content:"\\e55e"}.fa-sign-hanging:before,.fa-sign:before{content:"\\f4d9"}.fa-bezier-curve:before{content:"\\f55b"}.fa-bell-slash:before{content:"\\f1f6"}.fa-tablet-android:before,.fa-tablet:before{content:"\\f3fb"}.fa-school-flag:before{content:"\\e56e"}.fa-fill:before{content:"\\f575"}.fa-angle-up:before{content:"\\f106"}.fa-drumstick-bite:before{content:"\\f6d7"}.fa-holly-berry:before{content:"\\f7aa"}.fa-chevron-left:before{content:"\\f053"}.fa-bacteria:before{content:"\\e059"}.fa-hand-lizard:before{content:"\\f258"}.fa-notdef:before{content:"\\e1fe"}.fa-disease:before{content:"\\f7fa"}.fa-briefcase-medical:before{content:"\\f469"}.fa-genderless:before{content:"\\f22d"}.fa-chevron-right:before{content:"\\f054"}.fa-retweet:before{content:"\\f079"}.fa-car-alt:before,.fa-car-rear:before{content:"\\f5de"}.fa-pump-soap:before{content:"\\e06b"}.fa-video-slash:before{content:"\\f4e2"}.fa-battery-2:before,.fa-battery-quarter:before{content:"\\f243"}.fa-radio:before{content:"\\f8d7"}.fa-baby-carriage:before,.fa-carriage-baby:before{content:"\\f77d"}.fa-traffic-light:before{content:"\\f637"}.fa-thermometer:before{content:"\\f491"}.fa-vr-cardboard:before{content:"\\f729"}.fa-hand-middle-finger:before{content:"\\f806"}.fa-percent:before,.fa-percentage:before{content:"\\25"}.fa-truck-moving:before{content:"\\f4df"}.fa-glass-water-droplet:before{content:"\\e4f5"}.fa-display:before{content:"\\e163"}.fa-face-smile:before,.fa-smile:before{content:"\\f118"}.fa-thumb-tack:before,.fa-thumbtack:before{content:"\\f08d"}.fa-trophy:before{content:"\\f091"}.fa-person-praying:before,.fa-pray:before{content:"\\f683"}.fa-hammer:before{content:"\\f6e3"}.fa-hand-peace:before{content:"\\f25b"}.fa-rotate:before,.fa-sync-alt:before{content:"\\f2f1"}.fa-spinner:before{content:"\\f110"}.fa-robot:before{content:"\\f544"}.fa-peace:before{content:"\\f67c"}.fa-cogs:before,.fa-gears:before{content:"\\f085"}.fa-warehouse:before{content:"\\f494"}.fa-arrow-up-right-dots:before{content:"\\e4b7"}.fa-splotch:before{content:"\\f5bc"}.fa-face-grin-hearts:before,.fa-grin-hearts:before{content:"\\f584"}.fa-dice-four:before{content:"\\f524"}.fa-sim-card:before{content:"\\f7c4"}.fa-transgender-alt:before,.fa-transgender:before{content:"\\f225"}.fa-mercury:before{content:"\\f223"}.fa-arrow-turn-down:before,.fa-level-down:before{content:"\\f149"}.fa-person-falling-burst:before{content:"\\e547"}.fa-award:before{content:"\\f559"}.fa-ticket-alt:before,.fa-ticket-simple:before{content:"\\f3ff"}.fa-building:before{content:"\\f1ad"}.fa-angle-double-left:before,.fa-angles-left:before{content:"\\f100"}.fa-qrcode:before{content:"\\f029"}.fa-clock-rotate-left:before,.fa-history:before{content:"\\f1da"}.fa-face-grin-beam-sweat:before,.fa-grin-beam-sweat:before{content:"\\f583"}.fa-arrow-right-from-file:before,.fa-file-export:before{content:"\\f56e"}.fa-shield-blank:before,.fa-shield:before{content:"\\f132"}.fa-arrow-up-short-wide:before,.fa-sort-amount-up-alt:before{content:"\\f885"}.fa-house-medical:before{content:"\\e3b2"}.fa-golf-ball-tee:before,.fa-golf-ball:before{content:"\\f450"}.fa-chevron-circle-left:before,.fa-circle-chevron-left:before{content:"\\f137"}.fa-house-chimney-window:before{content:"\\e00d"}.fa-pen-nib:before{content:"\\f5ad"}.fa-tent-arrow-turn-left:before{content:"\\e580"}.fa-tents:before{content:"\\e582"}.fa-magic:before,.fa-wand-magic:before{content:"\\f0d0"}.fa-dog:before{content:"\\f6d3"}.fa-carrot:before{content:"\\f787"}.fa-moon:before{content:"\\f186"}.fa-wine-glass-alt:before,.fa-wine-glass-empty:before{content:"\\f5ce"}.fa-cheese:before{content:"\\f7ef"}.fa-yin-yang:before{content:"\\f6ad"}.fa-music:before{content:"\\f001"}.fa-code-commit:before{content:"\\f386"}.fa-temperature-low:before{content:"\\f76b"}.fa-biking:before,.fa-person-biking:before{content:"\\f84a"}.fa-broom:before{content:"\\f51a"}.fa-shield-heart:before{content:"\\e574"}.fa-gopuram:before{content:"\\f664"}.fa-earth-oceania:before,.fa-globe-oceania:before{content:"\\e47b"}.fa-square-xmark:before,.fa-times-square:before,.fa-xmark-square:before{content:"\\f2d3"}.fa-hashtag:before{content:"\\23"}.fa-expand-alt:before,.fa-up-right-and-down-left-from-center:before{content:"\\f424"}.fa-oil-can:before{content:"\\f613"}.fa-t:before{content:"\\54"}.fa-hippo:before{content:"\\f6ed"}.fa-chart-column:before{content:"\\e0e3"}.fa-infinity:before{content:"\\f534"}.fa-vial-circle-check:before{content:"\\e596"}.fa-person-arrow-down-to-line:before{content:"\\e538"}.fa-voicemail:before{content:"\\f897"}.fa-fan:before{content:"\\f863"}.fa-person-walking-luggage:before{content:"\\e554"}.fa-arrows-alt-v:before,.fa-up-down:before{content:"\\f338"}.fa-cloud-moon-rain:before{content:"\\f73c"}.fa-calendar:before{content:"\\f133"}.fa-trailer:before{content:"\\e041"}.fa-bahai:before,.fa-haykal:before{content:"\\f666"}.fa-sd-card:before{content:"\\f7c2"}.fa-dragon:before{content:"\\f6d5"}.fa-shoe-prints:before{content:"\\f54b"}.fa-circle-plus:before,.fa-plus-circle:before{content:"\\f055"}.fa-face-grin-tongue-wink:before,.fa-grin-tongue-wink:before{content:"\\f58b"}.fa-hand-holding:before{content:"\\f4bd"}.fa-plug-circle-exclamation:before{content:"\\e55d"}.fa-chain-broken:before,.fa-chain-slash:before,.fa-link-slash:before,.fa-unlink:before{content:"\\f127"}.fa-clone:before{content:"\\f24d"}.fa-person-walking-arrow-loop-left:before{content:"\\e551"}.fa-arrow-up-z-a:before,.fa-sort-alpha-up-alt:before{content:"\\f882"}.fa-fire-alt:before,.fa-fire-flame-curved:before{content:"\\f7e4"}.fa-tornado:before{content:"\\f76f"}.fa-file-circle-plus:before{content:"\\e494"}.fa-book-quran:before,.fa-quran:before{content:"\\f687"}.fa-anchor:before{content:"\\f13d"}.fa-border-all:before{content:"\\f84c"}.fa-angry:before,.fa-face-angry:before{content:"\\f556"}.fa-cookie-bite:before{content:"\\f564"}.fa-arrow-trend-down:before{content:"\\e097"}.fa-feed:before,.fa-rss:before{content:"\\f09e"}.fa-draw-polygon:before{content:"\\f5ee"}.fa-balance-scale:before,.fa-scale-balanced:before{content:"\\f24e"}.fa-gauge-simple-high:before,.fa-tachometer-fast:before,.fa-tachometer:before{content:"\\f62a"}.fa-shower:before{content:"\\f2cc"}.fa-desktop-alt:before,.fa-desktop:before{content:"\\f390"}.fa-m:before{content:"\\4d"}.fa-table-list:before,.fa-th-list:before{content:"\\f00b"}.fa-comment-sms:before,.fa-sms:before{content:"\\f7cd"}.fa-book:before{content:"\\f02d"}.fa-user-plus:before{content:"\\f234"}.fa-check:before{content:"\\f00c"}.fa-battery-4:before,.fa-battery-three-quarters:before{content:"\\f241"}.fa-house-circle-check:before{content:"\\e509"}.fa-angle-left:before{content:"\\f104"}.fa-diagram-successor:before{content:"\\e47a"}.fa-truck-arrow-right:before{content:"\\e58b"}.fa-arrows-split-up-and-left:before{content:"\\e4bc"}.fa-fist-raised:before,.fa-hand-fist:before{content:"\\f6de"}.fa-cloud-moon:before{content:"\\f6c3"}.fa-briefcase:before{content:"\\f0b1"}.fa-person-falling:before{content:"\\e546"}.fa-image-portrait:before,.fa-portrait:before{content:"\\f3e0"}.fa-user-tag:before{content:"\\f507"}.fa-rug:before{content:"\\e569"}.fa-earth-europe:before,.fa-globe-europe:before{content:"\\f7a2"}.fa-cart-flatbed-suitcase:before,.fa-luggage-cart:before{content:"\\f59d"}.fa-rectangle-times:before,.fa-rectangle-xmark:before,.fa-times-rectangle:before,.fa-window-close:before{content:"\\f410"}.fa-baht-sign:before{content:"\\e0ac"}.fa-book-open:before{content:"\\f518"}.fa-book-journal-whills:before,.fa-journal-whills:before{content:"\\f66a"}.fa-handcuffs:before{content:"\\e4f8"}.fa-exclamation-triangle:before,.fa-triangle-exclamation:before,.fa-warning:before{content:"\\f071"}.fa-database:before{content:"\\f1c0"}.fa-arrow-turn-right:before,.fa-mail-forward:before,.fa-share:before{content:"\\f064"}.fa-bottle-droplet:before{content:"\\e4c4"}.fa-mask-face:before{content:"\\e1d7"}.fa-hill-rockslide:before{content:"\\e508"}.fa-exchange-alt:before,.fa-right-left:before{content:"\\f362"}.fa-paper-plane:before{content:"\\f1d8"}.fa-road-circle-exclamation:before{content:"\\e565"}.fa-dungeon:before{content:"\\f6d9"}.fa-align-right:before{content:"\\f038"}.fa-money-bill-1-wave:before,.fa-money-bill-wave-alt:before{content:"\\f53b"}.fa-life-ring:before{content:"\\f1cd"}.fa-hands:before,.fa-sign-language:before,.fa-signing:before{content:"\\f2a7"}.fa-calendar-day:before{content:"\\f783"}.fa-ladder-water:before,.fa-swimming-pool:before,.fa-water-ladder:before{content:"\\f5c5"}.fa-arrows-up-down:before,.fa-arrows-v:before{content:"\\f07d"}.fa-face-grimace:before,.fa-grimace:before{content:"\\f57f"}.fa-wheelchair-alt:before,.fa-wheelchair-move:before{content:"\\e2ce"}.fa-level-down-alt:before,.fa-turn-down:before{content:"\\f3be"}.fa-person-walking-arrow-right:before{content:"\\e552"}.fa-envelope-square:before,.fa-square-envelope:before{content:"\\f199"}.fa-dice:before{content:"\\f522"}.fa-bowling-ball:before{content:"\\f436"}.fa-brain:before{content:"\\f5dc"}.fa-band-aid:before,.fa-bandage:before{content:"\\f462"}.fa-calendar-minus:before{content:"\\f272"}.fa-circle-xmark:before,.fa-times-circle:before,.fa-xmark-circle:before{content:"\\f057"}.fa-gifts:before{content:"\\f79c"}.fa-hotel:before{content:"\\f594"}.fa-earth-asia:before,.fa-globe-asia:before{content:"\\f57e"}.fa-id-card-alt:before,.fa-id-card-clip:before{content:"\\f47f"}.fa-magnifying-glass-plus:before,.fa-search-plus:before{content:"\\f00e"}.fa-thumbs-up:before{content:"\\f164"}.fa-user-clock:before{content:"\\f4fd"}.fa-allergies:before,.fa-hand-dots:before{content:"\\f461"}.fa-file-invoice:before{content:"\\f570"}.fa-window-minimize:before{content:"\\f2d1"}.fa-coffee:before,.fa-mug-saucer:before{content:"\\f0f4"}.fa-brush:before{content:"\\f55d"}.fa-mask:before{content:"\\f6fa"}.fa-magnifying-glass-minus:before,.fa-search-minus:before{content:"\\f010"}.fa-ruler-vertical:before{content:"\\f548"}.fa-user-alt:before,.fa-user-large:before{content:"\\f406"}.fa-train-tram:before{content:"\\e5b4"}.fa-user-nurse:before{content:"\\f82f"}.fa-syringe:before{content:"\\f48e"}.fa-cloud-sun:before{content:"\\f6c4"}.fa-stopwatch-20:before{content:"\\e06f"}.fa-square-full:before{content:"\\f45c"}.fa-magnet:before{content:"\\f076"}.fa-jar:before{content:"\\e516"}.fa-note-sticky:before,.fa-sticky-note:before{content:"\\f249"}.fa-bug-slash:before{content:"\\e490"}.fa-arrow-up-from-water-pump:before{content:"\\e4b6"}.fa-bone:before{content:"\\f5d7"}.fa-user-injured:before{content:"\\f728"}.fa-face-sad-tear:before,.fa-sad-tear:before{content:"\\f5b4"}.fa-plane:before{content:"\\f072"}.fa-tent-arrows-down:before{content:"\\e581"}.fa-exclamation:before{content:"\\21"}.fa-arrows-spin:before{content:"\\e4bb"}.fa-print:before{content:"\\f02f"}.fa-try:before,.fa-turkish-lira-sign:before,.fa-turkish-lira:before{content:"\\e2bb"}.fa-dollar-sign:before,.fa-dollar:before,.fa-usd:before{content:"\\24"}.fa-x:before{content:"\\58"}.fa-magnifying-glass-dollar:before,.fa-search-dollar:before{content:"\\f688"}.fa-users-cog:before,.fa-users-gear:before{content:"\\f509"}.fa-person-military-pointing:before{content:"\\e54a"}.fa-bank:before,.fa-building-columns:before,.fa-institution:before,.fa-museum:before,.fa-university:before{content:"\\f19c"}.fa-umbrella:before{content:"\\f0e9"}.fa-trowel:before{content:"\\e589"}.fa-d:before{content:"\\44"}.fa-stapler:before{content:"\\e5af"}.fa-masks-theater:before,.fa-theater-masks:before{content:"\\f630"}.fa-kip-sign:before{content:"\\e1c4"}.fa-hand-point-left:before{content:"\\f0a5"}.fa-handshake-alt:before,.fa-handshake-simple:before{content:"\\f4c6"}.fa-fighter-jet:before,.fa-jet-fighter:before{content:"\\f0fb"}.fa-share-alt-square:before,.fa-square-share-nodes:before{content:"\\f1e1"}.fa-barcode:before{content:"\\f02a"}.fa-plus-minus:before{content:"\\e43c"}.fa-video-camera:before,.fa-video:before{content:"\\f03d"}.fa-graduation-cap:before,.fa-mortar-board:before{content:"\\f19d"}.fa-hand-holding-medical:before{content:"\\e05c"}.fa-person-circle-check:before{content:"\\e53e"}.fa-level-up-alt:before,.fa-turn-up:before{content:"\\f3bf"}
.fa-sr-only,.fa-sr-only-focusable:not(:focus),.sr-only,.sr-only-focusable:not(:focus){position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0,0,0,0);white-space:nowrap;border-width:0}
.fas,.fa-solid{font-family:"Font Awesome 6 Free";font-weight:900}`,pM="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",mM="0.3.1",gM=2,xu=!1;function yM(s,e={}){if(!(s instanceof HTMLElement))throw new TypeError("mount requires an HTMLElement");if(xu)throw new Error("Only one kwasm viewer can be mounted per page");let t=e.viewerId??"kwasm";if(typeof t!="string"||!t)throw new TypeError("viewerId must be a nonempty string");if(e.styleNonce!==void 0&&(typeof e.styleNonce!="string"||!e.styleNonce))throw new TypeError("styleNonce must be a nonempty string");let n=window.origin,i=e.allowedOrigins??[n];if(!Array.isArray(i)||i.some(a=>typeof a!="string"||a==="*"))throw new TypeError("allowedOrigins must list exact origins (no wildcard)");if(e.tools!==void 0&&(!Array.isArray(e.tools)||e.tools.some(a=>typeof a!="string")))throw new TypeError("tools must be an array of toolbar tool names");for(let a of["drop","layers"])if(e[a]!==void 0&&typeof e[a]!="boolean")throw new TypeError(a+" must be a boolean");xu=!0;let r=lm();r.defer(()=>{xu=!1});try{return _M(s,e,t,n,[...i],r)}catch(a){throw r.destroy(),a}}function _M(s,e,t,n,i,r){let a=document.createElement("div");r.defer(()=>a.remove()),a.style.cssText="width:100%;height:100%;min-height:0",s.append(a);let o=a.attachShadow({mode:"open"}),l=document.createElement("style");e.styleNonce!==void 0&&(l.nonce=e.styleNonce),l.textContent=fM,o.append(l);let c=document.createElement("div");c.className="kwasm-surface",c.tabIndex=0,c.innerHTML=dM,o.append(c);let{setTimeout:h,clearTimeout:f,requestAnimationFrame:p,requestIdleCallback:m}=r,g=new EventTarget,y=sm(E=>{r.destroyed||W(E.message)});r.defer(()=>y.destroy());let u=new FontFace("Font Awesome 6 Free",Uint8Array.from(atob(pM),E=>E.charCodeAt(0)),{weight:"900"});document.fonts.add(u),r.defer(()=>document.fonts.delete(u));function d(E){let k={type:"kwasm:event",version:2,viewerId:t,event:(E.type||"notification").replace(/^kwasm:/,""),data:E};if(window.postMessage(k,n==="null"?"*":n),window.parent!==window)for(let ee of i)ee!=="null"&&window.parent.postMessage(k,ee)}let{view:_,drawing:x,renderState:v,sceneState:A,layerState:w}=Qp(),b=im({source:'(()=>{async function Bn(k={}){var s=k,R=!1,H=!0,z=[],N="./this.program",I=(e,r)=>{throw r},O=self.location.href,K="";function u(e){return s.locateFile?s.locateFile(e,K):K+e}var f,m;if(R||H){try{K=new URL(".",O).href}catch{}H&&(m=e=>{var r=new XMLHttpRequest;return r.open("GET",e,!1),r.responseType="arraybuffer",r.send(null),new Uint8Array(r.response)}),f=async e=>{var r=await fetch(e,{credentials:"same-origin"});if(r.ok)return r.arrayBuffer();throw new Error(r.status+" : "+r.url)}}var g=console.log.bind(console),S=console.error.bind(console),C,V=!1,U,X=!1;function Ve(){return ce.buffer}function he(){if(!W?.buffer?.resizable){var e=Ve();W=new Int8Array(e),Te=new Int16Array(e),s.HEAPU8=x=new Uint8Array(e),P=new Int32Array(e),y=new Uint32Array(e),Le=new Float32Array(e),s.HEAPF64=ft=new Float64Array(e),B=new BigInt64Array(e)}}function Xe(){var e=s.preRun;e&&(typeof e=="function"&&(e=[e]),ke.push(...e)),ye(ke)}function xe(){X=!0,!s.noFSInit&&!n.initialized&&n.init(),Q.init(),ee.F(),n.ignorePermissions=!1}function Ye(){var e=s.postRun;e&&(typeof e=="function"&&(e=[e]),pe.push(...e)),ye(pe)}function q(e){s.onAbort?.(e),e=`Aborted(${e})`,S(e),V=!0,e+=". Build with -sASSERTIONS for more info.",X&&Ie();var r=new WebAssembly.RuntimeError(e);throw r}var we;function Ke(){return s.locateFile?u("kwasm.wasm"):new URL("kwasm.wasm",self.location.href).href}function Je(e){if(m)return m(e);throw"both async and sync fetching of the wasm failed"}async function Qe(e){if(!C)try{var r=await f(e);return new Uint8Array(r)}catch{}return Je(e)}async function Ze(e,r){try{var t=await Qe(e),o=await WebAssembly.instantiate(t,r);return o}catch(a){S(`failed to asynchronously prepare wasm: ${a}`),q(a)}}async function er(e,r,t){if(!e)try{var o=fetch(r,{credentials:"same-origin"}),a=await WebAssembly.instantiateStreaming(o,t);return a}catch(i){S(`wasm streaming compile failed: ${i}`),S("falling back to ArrayBuffer instantiation")}return Ze(r,t)}function rr(){var e={a:Pn};return e}async function tr(){function e(c){return ee=c.exports,ee=Tn(ee),Mn(ee),he(),ee}function r(c){return e(c.instance)}var t=rr(),o=s.instantiateWasm;if(o)return new Promise(c=>{o(t,_=>c(e(_)))});we??=Ke();var a=await er(C,we,t),i=r(a);return i}class ge{name="ExitStatus";constructor(r){this.message=`Program terminated with exit(${r})`,this.status=r}}var W,ye=e=>{for(;e.length>0;)e.shift()(s)},pe=[],ke=[],Ee=!0,nr=9007199254740992,or=-9007199254740992,be=e=>e<or||e>nr?NaN:Number(e),Se=new TextDecoder,De=(e,r,t,o)=>{var a=r+t;if(o)return a;for(;e[r]&&!(r>=a);)++r;return r},x,J=(e,r,t)=>{if(e>>>=0,!e)return"";var o=De(x,e,r,t);return Se.decode(x.subarray(e>>>0,o>>>0))};function ar(e,r,t,o){return e>>>=0,r>>>=0,o>>>=0,q(`Assertion failed: ${J(e)}, at: `+[r?J(r):"unknown filename",t,o?J(o):"unknown function"])}var P,ir=()=>{var e=P[+b.varargs>>>2>>>0];return b.varargs+=4,e},E={isAbs:e=>e.charAt(0)==="/",splitPath:e=>{var r=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return r.exec(e).slice(1)},normalizeArray:(e,r)=>{for(var t=0,o=e.length-1;o>=0;o--){var a=e[o];a==="."?e.splice(o,1):a===".."?(e.splice(o,1),t++):t&&(e.splice(o,1),t--)}if(r)for(;t;t--)e.unshift("..");return e},normalize:e=>{var r=E.isAbs(e),t=e.slice(-1)==="/";return e=E.normalizeArray(e.split("/").filter(o=>!!o),!r).join("/"),!e&&!r&&(e="."),e&&t&&(e+="/"),(r?"/":"")+e},dirname:e=>{var r=E.splitPath(e),t=r[0],o=r[1];return!t&&!o?".":(o&&(o=o.slice(0,-1)),t+o)},basename:e=>e&&e.match(/([^\\/]+|\\/)\\/*$/)[1],join:(...e)=>E.normalize(e.join("/")),join2:(e,r)=>E.normalize(e+"/"+r)},sr=()=>e=>(crypto.getRandomValues(e),0),le=e=>(le=sr())(e),te={resolve:(...e)=>{for(var r="",t=!1,o=e.length-1;o>=-1&&!t;o--){var a=o>=0?e[o]:n.cwd();if(typeof a!="string")throw new TypeError("Arguments to path.resolve must be strings");if(!a)return"";r=a+"/"+r,t=E.isAbs(a)}return r=E.normalizeArray(r.split("/").filter(i=>!!i),!t).join("/"),(t?"/":"")+r||"."},relative:(e,r)=>{e=te.resolve(e).slice(1),r=te.resolve(r).slice(1);function t(d){for(var p=0;p<d.length&&d[p]==="";p++);for(var D=d.length-1;D>=0&&d[D]==="";D--);return p>D?[]:d.slice(p,D-p+1)}for(var o=t(e.split("/")),a=t(r.split("/")),i=Math.min(o.length,a.length),c=i,_=0;_<i;_++)if(o[_]!==a[_]){c=_;break}for(var l=[],_=c;_<o.length;_++)l.push("..");return l=l.concat(a.slice(c)),l.join("/")}},ie=(e,r=0,t,o)=>{r>>>=0;var a=De(e,r,t,o);return Se.decode(e.buffer?e.subarray(r,a):new Uint8Array(e.slice(r,a)))},ue=[],ne=e=>{for(var r=0,t=0;t<e.length;++t){var o=e.charCodeAt(t);o<=127?r++:o<=2047?r+=2:o>=55296&&o<=57343?(r+=4,++t):r+=3}return r},Ae=(e,r,t,o)=>{if(t>>>=0,!(o>0))return 0;for(var a=t,i=t+o-1,c=0;c<e.length;++c){var _=e.codePointAt(c);if(_<=127){if(t>=i)break;r[t++>>>0]=_}else if(_<=2047){if(t+1>=i)break;r[t++>>>0]=192|_>>6,r[t++>>>0]=128|_&63}else if(_<=65535){if(t+2>=i)break;r[t++>>>0]=224|_>>12,r[t++>>>0]=128|_>>6&63,r[t++>>>0]=128|_&63}else{if(t+3>=i)break;r[t++>>>0]=240|_>>18,r[t++>>>0]=128|_>>12&63,r[t++>>>0]=128|_>>6&63,r[t++>>>0]=128|_&63,c++}}return r[t>>>0]=0,t-a},fe=(e,r,t)=>{var o=t>0?t:ne(e)+1,a=new Array(o),i=Ae(e,a,0,a.length);return r&&(a.length=i),a},cr=()=>{if(!ue.length){var e=null;if(!e)return null;ue=fe(e,!0)}return ue.shift()},Q={ttys:[],init(){},shutdown(){},register(e,r){Q.ttys[e]={input:[],output:[],ops:r},n.registerDevice(e,Q.stream_ops)},stream_ops:{open(e){var r=Q.ttys[e.node.rdev];if(!r)throw new n.ErrnoError(43);e.tty=r,e.seekable=!1},close(e){e.tty.ops.fsync(e.tty)},fsync(e){e.tty.ops.fsync(e.tty)},read(e,r,t,o,a){if(!e.tty||!e.tty.ops.get_char)throw new n.ErrnoError(60);for(var i=0,c=0;c<o;c++){var _;try{_=e.tty.ops.get_char(e.tty)}catch{throw new n.ErrnoError(29)}if(_===void 0&&i===0)throw new n.ErrnoError(6);if(_==null)break;i++,r[t+c]=_}return i&&(e.node.atime=Date.now()),i},write(e,r,t,o,a){if(!e.tty||!e.tty.ops.put_char)throw new n.ErrnoError(60);try{for(var i=0;i<o;i++)e.tty.ops.put_char(e.tty,r[t+i])}catch{throw new n.ErrnoError(29)}return o&&(e.node.mtime=e.node.ctime=Date.now()),i}},default_tty_ops:{get_char(e){return cr()},put_char(e,r){r===null||r===10?(g(ie(e.output)),e.output=[]):r!=0&&e.output.push(r)},fsync(e){e.output?.length>0&&(g(ie(e.output)),e.output=[])},ioctl_tcgets(e){return{c_iflag:25856,c_oflag:5,c_cflag:191,c_lflag:35387,c_cc:[3,28,127,21,4,0,1,0,17,19,26,0,18,15,23,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}},ioctl_tcsets(e,r,t){return 0},ioctl_tiocgwinsz(e){return[24,80]}},default_tty1_ops:{put_char(e,r){r===null||r===10?(S(ie(e.output)),e.output=[]):r!=0&&e.output.push(r)},fsync(e){e.output?.length>0&&(S(ie(e.output)),e.output=[])}}},Re=e=>{q()},v={ops_table:null,mount(e){return v.createNode(null,"/",16895,0)},createNode(e,r,t,o){if(n.isBlkdev(t)||n.isFIFO(t))throw new n.ErrnoError(63);v.ops_table||={dir:{node:{getattr:v.node_ops.getattr,setattr:v.node_ops.setattr,lookup:v.node_ops.lookup,mknod:v.node_ops.mknod,rename:v.node_ops.rename,unlink:v.node_ops.unlink,rmdir:v.node_ops.rmdir,readdir:v.node_ops.readdir,symlink:v.node_ops.symlink},stream:{llseek:v.stream_ops.llseek}},file:{node:{getattr:v.node_ops.getattr,setattr:v.node_ops.setattr},stream:{llseek:v.stream_ops.llseek,read:v.stream_ops.read,write:v.stream_ops.write,mmap:v.stream_ops.mmap,msync:v.stream_ops.msync}},link:{node:{getattr:v.node_ops.getattr,setattr:v.node_ops.setattr,readlink:v.node_ops.readlink},stream:{}},chrdev:{node:{getattr:v.node_ops.getattr,setattr:v.node_ops.setattr},stream:n.chrdev_stream_ops}};var a=n.createNode(e,r,t,o);return n.isDir(a.mode)?(a.node_ops=v.ops_table.dir.node,a.stream_ops=v.ops_table.dir.stream,a.contents={}):n.isFile(a.mode)?(a.node_ops=v.ops_table.file.node,a.stream_ops=v.ops_table.file.stream,a.usedBytes=0,a.contents=v.emptyFileContents??=new Uint8Array(0)):n.isLink(a.mode)?(a.node_ops=v.ops_table.link.node,a.stream_ops=v.ops_table.link.stream):n.isChrdev(a.mode)&&(a.node_ops=v.ops_table.chrdev.node,a.stream_ops=v.ops_table.chrdev.stream),a.atime=a.mtime=a.ctime=Date.now(),e&&(e.contents[r]=a,e.atime=e.mtime=e.ctime=a.atime),a},getFileDataAsTypedArray(e){return e.contents.subarray(0,e.usedBytes)},expandFileStorage(e,r){var t=e.contents.length;if(!(t>=r)){var o=1024*1024;r=Math.max(r,t*(t<o?2:1.125)>>>0),t&&(r=Math.max(r,256));var a=v.getFileDataAsTypedArray(e);e.contents=new Uint8Array(r),e.contents.set(a)}},resizeFileStorage(e,r){if(e.usedBytes!=r){var t=e.contents;e.contents=new Uint8Array(r),e.contents.set(t.subarray(0,Math.min(r,e.usedBytes))),e.usedBytes=r}},node_ops:{getattr(e){var r={};return r.dev=n.isChrdev(e.mode)?e.id:1,r.ino=e.id,r.mode=e.mode,r.nlink=1,r.uid=0,r.gid=0,r.rdev=e.rdev,n.isDir(e.mode)?r.size=4096:n.isFile(e.mode)?r.size=e.usedBytes:n.isLink(e.mode)?r.size=e.link.length:r.size=0,r.atime=new Date(e.atime),r.mtime=new Date(e.mtime),r.ctime=new Date(e.ctime),r.blksize=4096,r.blocks=Math.ceil(r.size/r.blksize),r},setattr(e,r){for(let t of["mode","atime","mtime","ctime"])r[t]!=null&&(e[t]=r[t]);r.size!==void 0&&v.resizeFileStorage(e,r.size)},lookup(e,r){throw v.doesNotExistError||(v.doesNotExistError=new n.ErrnoError(44),v.doesNotExistError.stack="<generic error, no stack>"),v.doesNotExistError},mknod(e,r,t,o){return v.createNode(e,r,t,o)},rename(e,r,t){var o;try{o=n.lookupNode(r,t)}catch{}if(o){if(n.isDir(e.mode))for(var a in o.contents)throw new n.ErrnoError(55);n.hashRemoveNode(o)}delete e.parent.contents[e.name],r.contents[t]=e,e.name=t,r.ctime=r.mtime=e.parent.ctime=e.parent.mtime=Date.now()},unlink(e,r){delete e.contents[r],e.ctime=e.mtime=Date.now()},rmdir(e,r){var t=n.lookupNode(e,r);for(var o in t.contents)throw new n.ErrnoError(55);delete e.contents[r],e.ctime=e.mtime=Date.now()},readdir(e){return[".","..",...Object.keys(e.contents)]},symlink(e,r,t){var o=v.createNode(e,r,41471,0);return o.link=t,o},readlink(e){if(!n.isLink(e.mode))throw new n.ErrnoError(28);return e.link}},stream_ops:{read(e,r,t,o,a){var i=e.node.contents;if(a>=e.node.usedBytes)return 0;var c=Math.min(e.node.usedBytes-a,o);return r.set(i.subarray(a,a+c),t),c},write(e,r,t,o,a,i){if(r.buffer===W.buffer&&(i=!1),!o)return 0;var c=e.node;return c.mtime=c.ctime=Date.now(),i?(c.contents=r.subarray(t,t+o),c.usedBytes=o):c.usedBytes===0&&a===0?(c.contents=r.slice(t,t+o),c.usedBytes=o):(v.expandFileStorage(c,a+o),c.contents.set(r.subarray(t,t+o),a),c.usedBytes=Math.max(c.usedBytes,a+o)),o},llseek(e,r,t){var o=r;if(t===1?o+=e.position:t===2&&n.isFile(e.node.mode)&&(o+=e.node.usedBytes),o<0)throw new n.ErrnoError(28);return o},mmap(e,r,t,o,a){if(!n.isFile(e.node.mode))throw new n.ErrnoError(43);var i,c,_=e.node.contents;if(!(a&2)&&_.buffer===W.buffer)c=!1,i=_.byteOffset;else{if(c=!0,i=Re(r),!i)throw new n.ErrnoError(48);_&&((t>0||t+r<_.length)&&(_.subarray?_=_.subarray(t,t+r):_=Array.prototype.slice.call(_,t,t+r)),W.set(_,i>>>0))}return{ptr:i,allocated:c}},msync(e,r,t,o,a){return v.stream_ops.write(e,r,0,o,t,!1),0}}},_r=e=>{if(typeof e!="string")return e;var r={r:0,"r+":2,w:577,"w+":578,a:1089,"a+":1090},t=r[e];if(typeof t>"u")throw new Error(`Unknown file open mode: ${e}`);return t},Ne=e=>(typeof e=="string"&&(e=fe(e,!0)),e.subarray||(e=new Uint8Array(e)),e),de=(e,r)=>{var t=0;return e&&(t|=365),r&&(t|=146),t},lr=async e=>{var r=await f(e);return new Uint8Array(r)},ur=(...e)=>n.createDataFile(...e),fr=e=>e,Fe=null,dr=async()=>Fe,Z=0,Me=null,mr=e=>{Z--,s.monitorRunDependencies?.(Z),Z||Me()},vr=e=>{Z||(Fe=new Promise(r=>Me=r)),Z++,s.monitorRunDependencies?.(Z)},hr=[],wr=async(e,r)=>{typeof Browser<"u"&&Browser.init();for(var t of hr)if(t.canHandle(r))return t.handle(e,r);return e},Pe=async(e,r,t,o,a,i,c,_)=>{var l=r?te.resolve(E.join2(e,r)):e,d=fr(`cp ${l}`);vr(d);try{var p=t;typeof t=="string"&&(p=await lr(t)),p=await wr(p,l),_?.(),i||ur(e,r,p,o,a,c)}finally{mr(d)}},gr=(e,r,t,o,a,i,c,_,l,d)=>{Pe(e,r,t,o,a,_,l,d).then(i).catch(c)},n={root:null,mounts:[],devices:{},streams:[],nextInode:1,nameTable:null,currentPath:"/",initialized:!1,ignorePermissions:!0,filesystems:null,syncFSRequests:0,ErrnoError:class{name="ErrnoError";constructor(e){this.errno=e}},FSStream:class{shared={};get object(){return this.node}set object(e){this.node=e}get isRead(){return(this.flags&2097155)!==1}get isWrite(){return(this.flags&2097155)!==0}get isAppend(){return this.flags&1024}get flags(){return this.shared.flags}set flags(e){this.shared.flags=e}get position(){return this.shared.position}set position(e){this.shared.position=e}},FSNode:class{node_ops={};stream_ops={};readMode=365;writeMode=146;mounted=null;constructor(e,r,t,o){e||(e=this),this.parent=e,this.mount=e.mount,this.id=n.nextInode++,this.name=r,this.mode=t,this.rdev=o,this.atime=this.mtime=this.ctime=Date.now()}get read(){return(this.mode&this.readMode)===this.readMode}set read(e){e?this.mode|=this.readMode:this.mode&=~this.readMode}get write(){return(this.mode&this.writeMode)===this.writeMode}set write(e){e?this.mode|=this.writeMode:this.mode&=~this.writeMode}get isFolder(){return n.isDir(this.mode)}get isDevice(){return n.isChrdev(this.mode)}addListener(e,r=!1){var t={cb:e,exclusive:r},o=this.listeners??=new Set;return o.add(t),{listeners:o,entry:t}}notifyListeners(e){if(this.listeners){var r;for(var t of this.listeners)t.exclusive?(r||=[]).push(t):t.cb(e);if(r){var o=(this.exclTurn||0)%r.length;this.exclTurn=o+1,r[o].cb(e)}}}},lookupPath(e,r={}){if(!e)throw new n.ErrnoError(44);r.follow_mount??=!0,E.isAbs(e)||(e=n.cwd()+"/"+e);e:for(var t=0;t<40;t++){for(var o=e.split("/").filter(d=>!!d),a=n.root,i="/",c=0;c<o.length;c++){var _=c===o.length-1;if(_&&r.parent)break;if(o[c]!=="."){if(o[c]===".."){if(i=E.dirname(i),n.isRoot(a)){e=i+"/"+o.slice(c+1).join("/"),t--;continue e}else a=a.parent;continue}i=E.join2(i,o[c]);try{a=n.lookupNode(a,o[c])}catch(d){if(d?.errno===44&&_&&r.noent_okay)return{path:i};throw d}if(n.isMountpoint(a)&&(!_||r.follow_mount)&&(a=a.mounted.root),n.isLink(a.mode)&&(!_||r.follow)){if(!a.node_ops.readlink)throw new n.ErrnoError(52);var l=a.node_ops.readlink(a);E.isAbs(l)||(l=E.dirname(i)+"/"+l),e=l+"/"+o.slice(c+1).join("/");continue e}}}return{path:i,node:a}}throw new n.ErrnoError(32)},getPath(e){for(var r;;){if(n.isRoot(e)){var t=e.mount.mountpoint;return r?t[t.length-1]!=="/"?`${t}/${r}`:t+r:t}r=r?`${e.name}/${r}`:e.name,e=e.parent}},hashName(e,r){for(var t=0,o=0;o<r.length;o++)t=(t<<5)-t+r.charCodeAt(o)|0;return(e+t>>>0)%n.nameTable.length},hashAddNode(e){var r=n.hashName(e.parent.id,e.name);e.name_next=n.nameTable[r],n.nameTable[r]=e},hashRemoveNode(e){var r=n.hashName(e.parent.id,e.name);if(n.nameTable[r]===e)n.nameTable[r]=e.name_next;else for(var t=n.nameTable[r];t;){if(t.name_next===e){t.name_next=e.name_next;break}t=t.name_next}},lookupNode(e,r){var t=n.mayLookup(e);if(t)throw new n.ErrnoError(t);for(var o=n.hashName(e.id,r),a=n.nameTable[o];a;a=a.name_next){var i=a.name;if(a.parent.id===e.id&&i===r)return a}return n.lookup(e,r)},createNode(e,r,t,o){var a=new n.FSNode(e,r,t,o);return n.hashAddNode(a),a},destroyNode(e){n.hashRemoveNode(e)},isRoot(e){return e===e.parent},isMountpoint(e){return!!e.mounted},isFile(e){return(e&61440)===32768},isDir(e){return(e&61440)===16384},isLink(e){return(e&61440)===40960},isChrdev(e){return(e&61440)===8192},isBlkdev(e){return(e&61440)===24576},isFIFO(e){return(e&61440)===4096},isSocket(e){return(e&49152)===49152},flagsToPermissionString(e){var r=["r","w","rw"][e&3];return e&512&&(r+="w"),r},nodePermissions(e,r){return n.ignorePermissions?0:r.includes("r")&&!(e.mode&292)||r.includes("w")&&!(e.mode&146)||r.includes("x")&&!(e.mode&73)?2:0},mayLookup(e){if(!n.isDir(e.mode))return 54;var r=n.nodePermissions(e,"x");return r||(e.node_ops.lookup?0:2)},mayCreate(e,r){if(!n.isDir(e.mode))return 54;try{var t=n.lookupNode(e,r);return 20}catch{}return n.nodePermissions(e,"wx")},mayDelete(e,r,t){var o;try{o=n.lookupNode(e,r)}catch(i){return i.errno}var a=n.nodePermissions(e,"wx");if(a)return a;if(t){if(!n.isDir(o.mode))return 54;if(n.isRoot(o)||n.getPath(o)===n.cwd())return 10}else if(n.isDir(o.mode))return 31;return 0},mayOpen(e,r){if(!e)return 44;if(n.isLink(e.mode))return 32;var t=n.flagsToPermissionString(r);return n.isDir(e.mode)&&(t!=="r"||r&576)?31:n.nodePermissions(e,t)},checkOpExists(e,r){if(!e)throw new n.ErrnoError(r);return e},MAX_OPEN_FDS:4096,nextfd(){for(var e=0;e<=n.MAX_OPEN_FDS;e++)if(!n.streams[e])return e;throw new n.ErrnoError(33)},getStreamChecked(e){var r=n.getStream(e);if(!r)throw new n.ErrnoError(8);return r},getStream:e=>n.streams[e],createStream(e,r=-1){return e=Object.assign(new n.FSStream,e),r==-1&&(r=n.nextfd()),e.fd=r,n.streams[r]=e,e},closeStream(e){n.streams[e]=null},dupStream(e,r=-1){var t=n.createStream(e,r);return t.stream_ops?.dup?.(t),t},doSetAttr(e,r,t){var o=e?.stream_ops.setattr,a=o?e:r;o??=r.node_ops.setattr,n.checkOpExists(o,63);try{o(a,t)}catch(i){throw i instanceof RangeError?new n.ErrnoError(22):i}},chrdev_stream_ops:{open(e){var r=n.getDevice(e.node.rdev);e.stream_ops=r.stream_ops,e.stream_ops.open?.(e)},llseek(){throw new n.ErrnoError(70)}},major:e=>e>>8,minor:e=>e&255,makedev:(e,r)=>e<<8|r,registerDevice(e,r){n.devices[e]={stream_ops:r}},getDevice:e=>n.devices[e],getMounts(e){for(var r=[],t=[e];t.length;){var o=t.pop();r.push(o),t.push(...o.mounts)}return r},syncfs(e,r){typeof e=="function"&&(r=e,e=!1),n.syncFSRequests++,n.syncFSRequests>1&&S(`warning: ${n.syncFSRequests} FS.syncfs operations in flight at once, probably just doing extra work`);var t=n.getMounts(n.root.mount),o=0;function a(_){return n.syncFSRequests--,r(_)}function i(_){if(_)return i.errored?void 0:(i.errored=!0,a(_));++o>=t.length&&a(null)}for(var c of t)c.type.syncfs?c.type.syncfs(c,e,i):i(null)},mount(e,r,t){var o=t==="/",a=!t,i;if(o&&n.root)throw new n.ErrnoError(10);if(!o&&!a){var c=n.lookupPath(t,{follow_mount:!1});if(t=c.path,i=c.node,n.isMountpoint(i))throw new n.ErrnoError(10);if(!n.isDir(i.mode))throw new n.ErrnoError(54)}var _={type:e,opts:r,mountpoint:t,mounts:[]},l=e.mount(_);return l.mount=_,_.root=l,o?n.root=l:i&&(i.mounted=_,i.mount&&i.mount.mounts.push(_)),l},unmount(e){var r=n.lookupPath(e,{follow_mount:!1});if(!n.isMountpoint(r.node))throw new n.ErrnoError(28);var t=r.node,o=t.mounted,a=n.getMounts(o);for(var[i,c]of Object.entries(n.nameTable))for(;c;){var _=c.name_next;a.includes(c.mount)&&n.destroyNode(c),c=_}t.mounted=null;var l=t.mount.mounts.indexOf(o);t.mount.mounts.splice(l,1)},lookup(e,r){return e.node_ops.lookup(e,r)},mknod(e,r,t){var o=n.lookupPath(e,{parent:!0}),a=o.node,i=E.basename(e);if(!i)throw new n.ErrnoError(28);if(i==="."||i==="..")throw new n.ErrnoError(20);var c=n.mayCreate(a,i);if(c)throw new n.ErrnoError(c);if(!a.node_ops.mknod)throw new n.ErrnoError(63);return a.node_ops.mknod(a,i,r,t)},statfs(e){return n.statfsNode(n.lookupPath(e,{follow:!0}).node)},statfsStream(e){return n.statfsNode(e.node)},statfsNode(e){var r={bsize:4096,frsize:4096,blocks:1e6,bfree:5e5,bavail:5e5,files:n.nextInode,ffree:n.nextInode-1,fsid:42,flags:2,namelen:255};return e.node_ops.statfs&&Object.assign(r,e.node_ops.statfs(e.mount.opts.root)),r},create(e,r=438){return r&=4095,r|=32768,n.mknod(e,r,0)},mkdir(e,r=511){return r&=1023,r|=16384,n.mknod(e,r,0)},mkdirTree(e,r){var t=e.split("/"),o="";for(var a of t)if(a){(o||E.isAbs(e))&&(o+="/"),o+=a;try{n.mkdir(o,r)}catch(i){if(i.errno!=20)throw i}}},mkdev(e,r,t){return typeof t>"u"&&(t=r,r=438),r|=8192,n.mknod(e,r,t)},symlink(e,r){if(!te.resolve(e))throw new n.ErrnoError(44);var t=n.lookupPath(r,{parent:!0}),o=t.node;if(!o)throw new n.ErrnoError(44);var a=E.basename(r),i=n.mayCreate(o,a);if(i)throw new n.ErrnoError(i);if(!o.node_ops.symlink)throw new n.ErrnoError(63);return o.node_ops.symlink(o,a,e)},link(e,r,t){var o=n.lookupPath(r,{parent:!0}),a=o.node;if(!a)throw new n.ErrnoError(44);var i=E.basename(r),c=n.mayCreate(a,i);if(c)throw new n.ErrnoError(c);if(!a.node_ops.link)throw new n.ErrnoError(34);return a.node_ops.link(a,i,e,t)},rename(e,r){var t=E.dirname(e),o=E.dirname(r),a=E.basename(e),i=E.basename(r),c,_,l;if(c=n.lookupPath(e,{parent:!0}),_=c.node,c=n.lookupPath(r,{parent:!0}),l=c.node,!_||!l)throw new n.ErrnoError(44);if(_.mount!==l.mount)throw new n.ErrnoError(75);var d=n.lookupNode(_,a),p=te.relative(e,o);if(p.charAt(0)!==".")throw new n.ErrnoError(28);if(p=te.relative(r,t),p.charAt(0)!==".")throw new n.ErrnoError(55);var D;try{D=n.lookupNode(l,i)}catch{}if(d!==D){var h=n.isDir(d.mode),w=n.mayDelete(_,a,h);if(w)throw new n.ErrnoError(w);if(w=D?n.mayDelete(l,i,h):n.mayCreate(l,i),w)throw new n.ErrnoError(w);if(!_.node_ops.rename)throw new n.ErrnoError(63);if(n.isMountpoint(d)||D&&n.isMountpoint(D))throw new n.ErrnoError(10);if(l!==_&&(w=n.nodePermissions(_,"w"),w))throw new n.ErrnoError(w);n.hashRemoveNode(d);try{_.node_ops.rename(d,l,i),d.parent=l}catch(A){throw A}finally{n.hashAddNode(d)}}},rmdir(e){var r=n.lookupPath(e,{parent:!0}),t=r.node,o=E.basename(e),a=n.lookupNode(t,o),i=n.mayDelete(t,o,!0);if(i)throw new n.ErrnoError(i);if(!t.node_ops.rmdir)throw new n.ErrnoError(63);if(n.isMountpoint(a))throw new n.ErrnoError(10);t.node_ops.rmdir(t,o),n.destroyNode(a)},readdir(e){var r=n.lookupPath(e,{follow:!0}),t=r.node,o=n.checkOpExists(t.node_ops.readdir,54);return o(t)},unlink(e){var r=n.lookupPath(e,{parent:!0}),t=r.node;if(!t)throw new n.ErrnoError(44);var o=E.basename(e),a=n.lookupNode(t,o),i=n.mayDelete(t,o,!1);if(i)throw new n.ErrnoError(i);if(!t.node_ops.unlink)throw new n.ErrnoError(63);if(n.isMountpoint(a))throw new n.ErrnoError(10);t.node_ops.unlink(t,o),n.destroyNode(a)},readlink(e){var r=n.lookupPath(e),t=r.node;if(!t)throw new n.ErrnoError(44);if(!t.node_ops.readlink)throw new n.ErrnoError(28);return t.node_ops.readlink(t)},stat(e,r){var t=n.lookupPath(e,{follow:!r}),o=t.node,a=n.checkOpExists(o.node_ops.getattr,63);return a(o)},fstat(e){var r=n.getStreamChecked(e),t=r.node,o=r.stream_ops.getattr,a=o?r:t;return o??=t.node_ops.getattr,n.checkOpExists(o,63),o(a)},lstat(e){return n.stat(e,!0)},doChmod(e,r,t,o){n.doSetAttr(e,r,{mode:t&4095|r.mode&-4096,ctime:Date.now(),dontFollow:o})},chmod(e,r,t){var o;if(typeof e=="string"){var a=n.lookupPath(e,{follow:!t});o=a.node}else o=e;n.doChmod(null,o,r,t)},lchmod(e,r){n.chmod(e,r,!0)},fchmod(e,r){var t=n.getStreamChecked(e);n.doChmod(t,t.node,r,!1)},doChown(e,r,t){n.doSetAttr(e,r,{timestamp:Date.now(),dontFollow:t})},chown(e,r,t,o){var a;if(typeof e=="string"){var i=n.lookupPath(e,{follow:!o});a=i.node}else a=e;n.doChown(null,a,o)},lchown(e,r,t){n.chown(e,r,t,!0)},fchown(e,r,t){var o=n.getStreamChecked(e);n.doChown(o,o.node,!1)},doTruncate(e,r,t){if(n.isDir(r.mode))throw new n.ErrnoError(31);if(!n.isFile(r.mode))throw new n.ErrnoError(28);var o=n.nodePermissions(r,"w");if(o)throw new n.ErrnoError(o);n.doSetAttr(e,r,{size:t,timestamp:Date.now()})},truncate(e,r){if(r<0)throw new n.ErrnoError(28);var t;if(typeof e=="string"){var o=n.lookupPath(e,{follow:!0});t=o.node}else t=e;n.doTruncate(null,t,r)},ftruncate(e,r){var t=n.getStreamChecked(e);if(r<0||(t.flags&2097155)===0)throw new n.ErrnoError(28);n.doTruncate(t,t.node,r)},utime(e,r,t,o){var a=n.lookupPath(e,{follow:!o});n.doSetAttr(null,a.node,{atime:r,mtime:t,dontFollow:o})},open(e,r,t=438){if(e==="")throw new n.ErrnoError(44);r=_r(r),r&64?t=t&4095|32768:t=0;var o,a;if(typeof e=="object")o=e;else{a=e.endsWith("/");var i=n.lookupPath(e,{follow:!(r&131072),noent_okay:!0});o=i.node,e=i.path}var c=!1;if(r&64)if(o){if(r&128)throw new n.ErrnoError(20)}else{if(a)throw new n.ErrnoError(31);o=n.mknod(e,t|511,0),c=!0}if(!o)throw new n.ErrnoError(44);if(n.isChrdev(o.mode)&&(r&=-513),r&65536&&!n.isDir(o.mode))throw new n.ErrnoError(54);if(!c){var _=n.mayOpen(o,r);if(_)throw new n.ErrnoError(_)}r&512&&!c&&n.truncate(o,0),r&=-131713;var l=n.createStream({node:o,path:n.getPath(o),flags:r,seekable:!0,position:0,stream_ops:o.stream_ops,ungotten:[],error:!1});return l.stream_ops.open&&l.stream_ops.open(l),c&&n.chmod(o,t&511),l},close(e){if(n.isClosed(e))throw new n.ErrnoError(8);e.getdents&&(e.getdents=null),e.node?.notifyListeners(32);try{e.stream_ops.close&&e.stream_ops.close(e)}catch(r){throw r}finally{n.closeStream(e.fd)}e.fd=null},isClosed(e){return e.fd===null},llseek(e,r,t){if(n.isClosed(e))throw new n.ErrnoError(8);if(!e.seekable||!e.stream_ops.llseek)throw new n.ErrnoError(70);if(t!=0&&t!=1&&t!=2)throw new n.ErrnoError(28);return e.position=e.stream_ops.llseek(e,r,t),e.ungotten=[],e.position},read(e,r,t,o,a){if(o<0||a<0)throw new n.ErrnoError(28);if(n.isClosed(e))throw new n.ErrnoError(8);if((e.flags&2097155)===1)throw new n.ErrnoError(8);if(n.isDir(e.node.mode))throw new n.ErrnoError(31);if(!e.stream_ops.read)throw new n.ErrnoError(28);var i=typeof a<"u";if(!i)a=e.position;else if(!e.seekable)throw new n.ErrnoError(70);var c=e.stream_ops.read(e,r,t,o,a);return i||(e.position+=c),c},write(e,r,t,o,a,i){if(o<0||a<0)throw new n.ErrnoError(28);if(n.isClosed(e))throw new n.ErrnoError(8);if((e.flags&2097155)===0)throw new n.ErrnoError(8);if(n.isDir(e.node.mode))throw new n.ErrnoError(31);if(!e.stream_ops.write)throw new n.ErrnoError(28);e.seekable&&e.flags&1024&&n.llseek(e,0,2);var c=typeof a<"u";if(!c)a=e.position;else if(!e.seekable)throw new n.ErrnoError(70);var _=e.stream_ops.write(e,r,t,o,a,i);return c||(e.position+=_),_},mmap(e,r,t,o,a){if((o&2)!==0&&(a&2)===0&&(e.flags&2097155)!==2)throw new n.ErrnoError(2);if((e.flags&2097155)===1)throw new n.ErrnoError(2);if(!e.stream_ops.mmap)throw new n.ErrnoError(43);if(!r)throw new n.ErrnoError(28);return e.stream_ops.mmap(e,r,t,o,a)},msync(e,r,t,o,a){return e.stream_ops.msync?e.stream_ops.msync(e,r,t,o,a):0},ioctl(e,r,t){if(!e.stream_ops.ioctl)throw new n.ErrnoError(59);return e.stream_ops.ioctl(e,r,t)},readFile(e,r={}){r.flags=r.flags??0,r.encoding=r.encoding??"binary",r.encoding!=="utf8"&&r.encoding!=="binary"&&q(`Invalid encoding type "${r.encoding}"`);var t=n.open(e,r.flags),o=n.stat(e),a=o.size,i=new Uint8Array(a);return n.read(t,i,0,a,0),r.encoding==="utf8"&&(i=ie(i)),n.close(t),i},writeFile(e,r,t={}){t.flags=t.flags??577;var o=n.open(e,t.flags,t.mode);r=Ne(r),n.write(o,r,0,r.byteLength,void 0,t.canOwn),n.close(o)},cwd:()=>n.currentPath,chdir(e){var r=n.lookupPath(e,{follow:!0});if(r.node===null)throw new n.ErrnoError(44);if(!n.isDir(r.node.mode))throw new n.ErrnoError(54);var t=n.nodePermissions(r.node,"x");if(t)throw new n.ErrnoError(t);n.currentPath=r.path},createDefaultDirectories(){n.mkdir("/tmp"),n.mkdir("/home"),n.mkdir("/home/web_user")},createDefaultDevices(){n.mkdir("/dev"),n.registerDevice(n.makedev(1,3),{read:()=>0,write:(o,a,i,c,_)=>c,llseek:()=>0}),n.mkdev("/dev/null",n.makedev(1,3)),Q.register(n.makedev(5,0),Q.default_tty_ops),Q.register(n.makedev(6,0),Q.default_tty1_ops),n.mkdev("/dev/tty",n.makedev(5,0)),n.mkdev("/dev/tty1",n.makedev(6,0));var e=new Uint8Array(1024),r=0,t=()=>(r===0&&(le(e),r=e.byteLength),e[--r]);n.createDevice("/dev","random",t),n.createDevice("/dev","urandom",t),n.mkdir("/dev/shm"),n.mkdir("/dev/shm/tmp")},createSpecialDirectories(){n.mkdir("/proc");var e=n.mkdir("/proc/self");n.mkdir("/proc/self/fd"),n.mount({mount(){var r=n.createNode(e,"fd",16895,73);return r.stream_ops={llseek:v.stream_ops.llseek},r.node_ops={lookup(t,o){var a=+o,i=n.getStreamChecked(a),c={parent:null,mount:{mountpoint:"fake"},node_ops:{readlink:()=>i.path},id:a+1};return c.parent=c,c},readdir(){return Array.from(n.streams.entries()).filter(([t,o])=>o).map(([t,o])=>t.toString())}},r}},{},"/proc/self/fd")},createStandardStreams(e,r,t){e?n.createDevice("/dev","stdin",e):n.symlink("/dev/tty","/dev/stdin"),r?n.createDevice("/dev","stdout",null,r):n.symlink("/dev/tty","/dev/stdout"),t?n.createDevice("/dev","stderr",null,t):n.symlink("/dev/tty1","/dev/stderr");var o=n.open("/dev/stdin",0),a=n.open("/dev/stdout",1),i=n.open("/dev/stderr",1)},staticInit(){n.nameTable=new Array(4096),n.mount(v,{},"/"),n.createDefaultDirectories(),n.createDefaultDevices(),n.createSpecialDirectories(),n.filesystems={MEMFS:v}},init(e,r,t){n.initialized=!0,e??=s.stdin,r??=s.stdout,t??=s.stderr,n.createStandardStreams(e,r,t)},quit(){n.initialized=!1;for(var e of n.streams)e&&n.close(e)},findObject(e,r){var t=n.analyzePath(e,r);return t.exists?t.object:null},analyzePath(e,r){try{var t=n.lookupPath(e,{follow:!r});e=t.path}catch{}var o={isRoot:!1,exists:!1,error:0,name:null,path:null,object:null,parentExists:!1,parentPath:null,parentObject:null};try{var t=n.lookupPath(e,{parent:!0});o.parentExists=!0,o.parentPath=t.path,o.parentObject=t.node,o.name=E.basename(e),t=n.lookupPath(e,{follow:!r}),o.exists=!0,o.path=t.path,o.object=t.node,o.name=t.node.name,o.isRoot=t.path==="/"}catch(a){o.error=a.errno}return o},createPath(e,r,t,o){e=typeof e=="string"?e:n.getPath(e);for(var a=r.split("/").reverse();a.length;){var i=a.pop();if(i){var c=E.join2(e,i);try{n.mkdir(c)}catch(_){if(_.errno!=20)throw _}e=c}}return c},createFile(e,r,t,o,a){var i=E.join2(typeof e=="string"?e:n.getPath(e),r),c=de(o,a);return n.create(i,c)},createDataFile(e,r,t,o,a,i){var c=r;e&&(e=typeof e=="string"?e:n.getPath(e),c=r?E.join2(e,r):e);var _=de(o,a),l=n.create(c,_);if(t){t=Ne(t),n.chmod(l,_|146);var d=n.open(l,577);n.write(d,t,0,t.length,0,i),n.close(d),n.chmod(l,_)}},createDevice(e,r,t,o){var a=E.join2(typeof e=="string"?e:n.getPath(e),r),i=de(!!t,!!o);n.createDevice.major??=64;var c=n.makedev(n.createDevice.major++,0);return n.registerDevice(c,{open(_){_.seekable=!1},close(_){o?.buffer?.length&&o(10)},read(_,l,d,p,D){for(var h=0,w=0;w<p;w++){var A;try{A=t()}catch{throw new n.ErrnoError(29)}if(A===void 0&&h===0)throw new n.ErrnoError(6);if(A==null)break;h++,l[d+w]=A}return h&&(_.node.atime=Date.now()),h},write(_,l,d,p,D){for(var h=0;h<p;h++)try{o(l[d+h])}catch{throw new n.ErrnoError(29)}return p&&(_.node.mtime=_.node.ctime=Date.now()),h}}),n.mkdev(a,i,c)},forceLoadFile(e){if(e.isDevice||e.isFolder||e.link||e.contents)return!0;if(globalThis.XMLHttpRequest)q("Lazy loading should have been performed (contents set) in createLazyFile, but it was not. Lazy loading only works in web workers. Use --embed-file or --preload-file in emcc on the main thread.");else try{e.contents=m(e.url)}catch{throw new n.ErrnoError(29)}},createLazyFile(e,r,t,o,a){class i{lengthKnown=!1;chunks=[];get(h){if(!(h>this.length-1||h<0)){var w=h%this.chunkSize,A=h/this.chunkSize|0;return this.getter(A)[w]}}setDataGetter(h){this.getter=h}cacheLength(){var h=new XMLHttpRequest;h.open("HEAD",t,!1),h.send(null),h.status>=200&&h.status<300||h.status===304||q(`Couldn\'t load ${t}. Status: ${h.status}`);var w=Number(h.getResponseHeader("Content-length")),A,M=(A=h.getResponseHeader("Accept-Ranges"))&&A==="bytes",T=(A=h.getResponseHeader("Content-Encoding"))&&A==="gzip",L=1024*1024;M||(L=w);var j=(G,ae)=>{G>ae&&q(`invalid range (${G}, ${ae}) or no bytes requested!`),ae>w-1&&q(`only ${w} bytes available! programmer error!`);var F=new XMLHttpRequest;return F.open("GET",t,!1),w!==L&&F.setRequestHeader("Range",`bytes=${G}-${ae}`),F.responseType="arraybuffer",F.overrideMimeType&&F.overrideMimeType("text/plain; charset=x-user-defined"),F.send(null),F.status>=200&&F.status<300||F.status===304||q(`Couldn\'t load ${t}. Status: ${F.status}`),F.response!==void 0?new Uint8Array(F.response||[]):fe(F.responseText??"",!0)},re=this;re.setDataGetter(G=>{var ae=G*L,F=(G+1)*L-1;return F=Math.min(F,w-1),typeof re.chunks[G]>"u"&&(re.chunks[G]=j(ae,F)),typeof re.chunks[G]>"u"&&q("doXHR failed!"),re.chunks[G]}),(T||!w)&&(L=w=1,w=this.getter(0).length,L=w,g("LazyFiles on gzip forces download of the whole file when length is accessed")),this._length=w,this._chunkSize=L,this.lengthKnown=!0}get length(){return this.lengthKnown||this.cacheLength(),this._length}get chunkSize(){return this.lengthKnown||this.cacheLength(),this._chunkSize}}if(globalThis.XMLHttpRequest){H||q("Cannot do synchronous binary XHRs outside webworkers in modern browsers. Use --embed-file or --preload-file in emcc");var c=new i,_={isDevice:!1,contents:c}}else var _={isDevice:!1,url:t};var l=n.createFile(e,r,_,o,a);_.contents?l.contents=_.contents:_.url&&(l.contents=null,l.url=_.url),Object.defineProperties(l,{usedBytes:{get:function(){return this.contents.length}}});var d={};for(let[D,h]of Object.entries(l.stream_ops))d[D]=(...w)=>(n.forceLoadFile(l),h(...w));function p(D,h,w,A,M){var T=D.node.contents;if(M>=T.length)return 0;var L=Math.min(T.length-M,A);if(T.slice)for(var j=0;j<L;j++)h[w+j]=T[M+j];else for(var j=0;j<L;j++)h[w+j]=T.get(M+j);return L}return d.read=(D,h,w,A,M)=>(n.forceLoadFile(l),p(D,h,w,A,M)),d.mmap=(D,h,w,A,M)=>{n.forceLoadFile(l);var T=Re(h);if(!T)throw new n.ErrnoError(48);return p(D,W,T,h,w),{ptr:T,allocated:!0}},l.stream_ops=d,l}},y,B,b={currentUmask:18,calculateAt(e,r,t){if(E.isAbs(r))return r;var o;if(e===-100)o=n.cwd();else{var a=b.getStreamFromFD(e);o=a.path}if(r.length==0){if(!t)throw new n.ErrnoError(44);return o}return o+"/"+r},writeStat(e,r){y[e>>>2>>>0]=r.dev,y[e+4>>>2>>>0]=r.mode,y[e+8>>>2>>>0]=r.nlink,y[e+12>>>2>>>0]=r.uid,y[e+16>>>2>>>0]=r.gid,y[e+20>>>2>>>0]=r.rdev,B[e+24>>>3>>>0]=BigInt(r.size),P[e+32>>>2>>>0]=4096,P[e+36>>>2>>>0]=r.blocks;var t=r.atime.getTime(),o=r.mtime.getTime(),a=r.ctime.getTime();return B[e+40>>>3>>>0]=BigInt(Math.floor(t/1e3)),y[e+48>>>2>>>0]=t%1e3*1e3*1e3,B[e+56>>>3>>>0]=BigInt(Math.floor(o/1e3)),y[e+64>>>2>>>0]=o%1e3*1e3*1e3,B[e+72>>>3>>>0]=BigInt(Math.floor(a/1e3)),y[e+80>>>2>>>0]=a%1e3*1e3*1e3,B[e+88>>>3>>>0]=BigInt(r.ino),0},writeStatFs(e,r){y[e+4>>>2>>>0]=r.bsize,y[e+60>>>2>>>0]=r.bsize,B[e+8>>>3>>>0]=BigInt(r.blocks),B[e+16>>>3>>>0]=BigInt(r.bfree),B[e+24>>>3>>>0]=BigInt(r.bavail),B[e+32>>>3>>>0]=BigInt(r.files),B[e+40>>>3>>>0]=BigInt(r.ffree),y[e+48>>>2>>>0]=r.fsid,y[e+64>>>2>>>0]=r.flags,y[e+56>>>2>>>0]=r.namelen},doMsync(e,r,t,o,a){if(!n.isFile(r.node.mode))throw new n.ErrnoError(43);if(o&2)return 0;var i=x.subarray(e>>>0,e+t>>>0);n.msync(r,i,a,t,o)},getStreamFromFD(e){var r=n.getStreamChecked(e);return r},varargs:void 0,getStr(e){var r=J(e);return r}},Te;function yr(e,r){r>>>=0;try{return b.writeStat(r,n.fstat(e))}catch(t){if(typeof n>"u"||t.name!=="ErrnoError")throw t;return-t.errno}}var Y=(e,r,t)=>Ae(e,x,r,t);function pr(e,r){e>>>=0,r>>>=0;try{if(r===0)return-28;var t=n.cwd(),o=ne(t)+1;return r<o?-68:(Y(t,e,r),o)}catch(a){if(typeof n>"u"||a.name!=="ErrnoError")throw a;return-a.errno}}var kr=()=>0;function Er(e,r){e>>>=0,r>>>=0;try{return e=b.getStr(e),b.writeStat(r,n.lstat(e))}catch(t){if(typeof n>"u"||t.name!=="ErrnoError")throw t;return-t.errno}}function br(e,r,t,o){r>>>=0,t>>>=0;try{r=b.getStr(r);var a=o&256,i=o&4096;return o=o&-6401,r=b.calculateAt(e,r,i),b.writeStat(t,a?n.lstat(r):n.stat(r))}catch(c){if(typeof n>"u"||c.name!=="ErrnoError")throw c;return-c.errno}}function Sr(e,r,t,o){r>>>=0,o>>>=0,b.varargs=o;try{r=b.getStr(r),r=b.calculateAt(e,r);var a=o?ir():0;return t&64&&(a&=~b.currentUmask),n.open(r,t,a).fd}catch(i){if(typeof n>"u"||i.name!=="ErrnoError")throw i;return-i.errno}}function Dr(e,r,t,o){r>>>=0,t>>>=0,o>>>=0;try{if(r=b.getStr(r),r=b.calculateAt(e,r),o<=0)return-28;var a=n.readlink(r),i=Math.min(o,ne(a)),c=W[t+i>>>0];return Y(a,t,o+1),W[t+i>>>0]=c,i}catch(_){if(typeof n>"u"||_.name!=="ErrnoError")throw _;return-_.errno}}function Ar(e,r,t,o){r>>>=0,o>>>=0;try{return r=b.getStr(r),o=b.getStr(o),r=b.calculateAt(e,r),o=b.calculateAt(t,o),n.rename(r,o),0}catch(a){if(typeof n>"u"||a.name!=="ErrnoError")throw a;return-a.errno}}function Rr(e,r){e>>>=0,r>>>=0;try{return e=b.getStr(e),b.writeStat(r,n.stat(e))}catch(t){if(typeof n>"u"||t.name!=="ErrnoError")throw t;return-t.errno}}function Nr(e,r,t){r>>>=0;try{if(r=b.getStr(r),r=b.calculateAt(e,r),!t)n.unlink(r);else if(t===512)n.rmdir(r);else return-28;return 0}catch(o){if(typeof n>"u"||o.name!=="ErrnoError")throw o;return-o.errno}}var Fr=()=>q(""),Mr=e=>e%4===0&&(e%100!==0||e%400===0),Pr=[0,31,60,91,121,152,182,213,244,274,305,335],Tr=[0,31,59,90,120,151,181,212,243,273,304,334],Lr=e=>{var r=Mr(e.getFullYear()),t=r?Pr:Tr,o=t[e.getMonth()]+e.getDate()-1;return o};function Cr(e,r){e=be(e),r>>>=0;var t=new Date(e*1e3);if(isNaN(t.getTime()))return 1;P[r>>>2>>>0]=t.getSeconds(),P[r+4>>>2>>>0]=t.getMinutes(),P[r+8>>>2>>>0]=t.getHours(),P[r+12>>>2>>>0]=t.getDate(),P[r+16>>>2>>>0]=t.getMonth(),P[r+20>>>2>>>0]=t.getFullYear()-1900,P[r+24>>>2>>>0]=t.getDay();var o=Lr(t)|0;P[r+28>>>2>>>0]=o,P[r+36>>>2>>>0]=-(t.getTimezoneOffset()*60);var a=new Date(t.getFullYear(),0,1),i=new Date(t.getFullYear(),6,1).getTimezoneOffset(),c=a.getTimezoneOffset(),_=(i!=c&&t.getTimezoneOffset()==Math.min(c,i))|0;return P[r+32>>>2>>>0]=_,0}var Br=function(e,r,t,o){e>>>=0,r>>>=0,t>>>=0,o>>>=0;var a=new Date().getFullYear(),i=new Date(a,0,1),c=new Date(a,6,1),_=i.getTimezoneOffset(),l=c.getTimezoneOffset(),d=Math.max(_,l);y[e>>>2>>>0]=d*60,P[r>>>2>>>0]=+(_!=l);var p=w=>{var A=w>=0?"-":"+",M=Math.abs(w),T=String(Math.floor(M/60)).padStart(2,"0"),L=String(M%60).padStart(2,"0");return`UTC${A}${T}${L}`},D=p(_),h=p(l);l<_?(Y(D,t,17),Y(h,o,17)):(Y(D,o,17),Y(h,t,17))},zr=()=>Date.now(),Ir=()=>4294901760,Or=(e,r)=>Math.ceil(e/r)*r,Ur=e=>{var r=ce.buffer.byteLength,t=(e-r+65535)/65536|0;try{return ce.grow(t),he(),1}catch{}};function jr(e){e>>>=0;var r=x.length,t=Ir();if(e>t)return!1;for(var o=1;o<=4;o*=2){var a=r*(1+.2/o);a=Math.min(a,e+100663296);var i=Math.min(t,Or(Math.max(e,a),65536)),c=Ur(i);if(c)return!0}return!1}var me={},Hr=()=>N,se=()=>{if(!se.strings){var e=(globalThis.navigator?.language??"C").replace("-","_")+".UTF-8",r={USER:"web_user",LOGNAME:"web_user",PATH:"/",PWD:"/",HOME:"/home/web_user",LANG:e,_:Hr()};for(var t in me)me[t]===void 0?delete r[t]:r[t]=me[t];var o=[];for(var t in r)o.push(`${t}=${r[t]}`);se.strings=o}return se.strings};function qr(e,r){e>>>=0,r>>>=0;var t=0,o=0;for(var a of se()){var i=r+t;y[e+o>>>2>>>0]=i,t+=Y(a,i,1/0)+1,o+=4}return 0}function $r(e,r){e>>>=0,r>>>=0;var t=se();y[e>>>2>>>0]=t.length;var o=0;for(var a of t)o+=ne(a)+1;return y[r>>>2>>>0]=o,0}function Wr(e){try{var r=b.getStreamFromFD(e);return n.close(r),0}catch(t){if(typeof n>"u"||t.name!=="ErrnoError")throw t;return t.errno}}function Gr(e,r){r>>>=0;try{var t=0,o=0,a=0,i=b.getStreamFromFD(e),c=i.tty?2:n.isDir(i.mode)?3:n.isLink(i.mode)?7:4;return W[r>>>0]=c,Te[r+2>>>1>>>0]=a,B[r+8>>>3>>>0]=BigInt(t),B[r+16>>>3>>>0]=BigInt(o),0}catch(_){if(typeof n>"u"||_.name!=="ErrnoError")throw _;return _.errno}}var Vr=(e,r,t,o)=>{for(var a=0,i=0;i<t;i++){var c=y[r>>>2>>>0],_=y[r+4>>>2>>>0];r+=8;try{var l=n.read(e,W,c,_,o)}catch(d){if(a>0&&d instanceof n.ErrnoError&&(d.errno==6||d.errno==6))break;throw d}if(l<0)return-1;if(a+=l,l<_)break;typeof o<"u"&&(o+=l)}return a};function Xr(e,r,t,o){r>>>=0,t>>>=0,o>>>=0;try{var a=b.getStreamFromFD(e),i=Vr(a,r,t);return y[o>>>2>>>0]=i,0}catch(c){if(typeof n>"u"||c.name!=="ErrnoError")throw c;return c.errno}}function xr(e,r,t,o){r=be(r),o>>>=0;try{if(isNaN(r))return 22;var a=b.getStreamFromFD(e);return n.llseek(a,r,t),B[o>>>3>>>0]=BigInt(a.position),a.getdents&&r===0&&t===0&&(a.getdents=null),0}catch(i){if(typeof n>"u"||i.name!=="ErrnoError")throw i;return i.errno}}var Yr=(e,r,t,o)=>{if(t==1)return n.write(e,W,y[r>>>2>>>0],y[r+4>>>2>>>0],o);for(var a=0,i=0,c=r;i<t;i++,c+=8)a+=y[c+4>>>2>>>0];for(var _=new Uint8Array(a),l=0,i=0;i<t;i++,r+=8){var d=y[r>>>2>>>0],p=y[r+4>>>2>>>0];_.set(x.subarray(d>>>0,d+p>>>0),l),l+=p}return n.write(e,_,0,a,o)};function Kr(e,r,t,o){r>>>=0,t>>>=0,o>>>=0;try{var a=b.getStreamFromFD(e),i=Yr(a,r,t);return y[o>>>2>>>0]=i,0}catch(c){if(typeof n>"u"||c.name!=="ErrnoError")throw c;return c.errno}}var Le;function Jr(e,r,t,o,a,i,c,_,l,d,p,D,h,w,A){try{var M=J(e),T=new Float32Array(Le.buffer.slice(a,a+i*4)),L=new Uint32Array(y.buffer.slice(c,c+_*4)),j=new Uint32Array(y.buffer.slice(l,l+d*4));console.log("[kwasm] Layer \'"+M+"\': "+(d-1)+" polygons, "+(_-1)+" rings, "+i/2+" points"),typeof s.kwasm_add_layer_polygons=="function"&&s.kwasm_add_layer_polygons(M,r,t,o,T,L,j,p,D,h,w,A)}catch(re){s.kwasm_geometry_failed(re)}}function Qr(){console.log("[kwasm] All meshes complete"),typeof s.kwasm_meshes_complete=="function"&&s.kwasm_meshes_complete()}function Zr(e,r){if(typeof s.rweb_on_loaded=="function"){var t=J(e),o=J(r);s.rweb_on_loaded(JSON.parse(t),JSON.parse(o))}}function et(e,r){typeof s.rweb_on_mouse_coords=="function"&&s.rweb_on_mouse_coords(e,r)}function rt(e,r){typeof s.rweb_on_netlist_loaded=="function"&&s.rweb_on_netlist_loaded(e,r)}function tt(e,r,t,o){if(typeof s.rweb_on_pixels_ready=="function"){var a=x.subarray(e>>>0,e+r>>>0);s.rweb_on_pixels_ready(a,t,o)}}function nt(e,r){return e>>>=0,r>>>=0,le(x.subarray(e>>>0,e+r>>>0))}var ot=0,at=()=>Ee||ot>0,it=e=>{U=e,at()||(s.onExit?.(e),V=!0),I(e,new ge(e))},st=(e,r)=>{U=e,it(e)},ct=e=>{if(e instanceof ge||e=="unwind")return U;I(1,e)},Ce=e=>Oe(e),_t=e=>{var r=ne(e)+1,t=Ce(r);return Y(e,t,r),t},lt=e=>{var r=ne(e)+1,t=ze(r);return t&&Y(e,t,r),t},ut=(...e)=>lt(...e),ft;n.createPreloadedFile=gr,n.preloadFile=Pe,n.staticInit();{s.noExitRuntime&&(Ee=s.noExitRuntime),s.print&&(g=s.print),s.printErr&&(S=s.printErr),s.arguments&&(z=s.arguments),s.thisProgram&&(N=s.thisProgram);var oe=s.preInit;if(oe)for(typeof oe=="function"&&(s.preInit=oe=[oe]);oe.length>0;)oe.shift()()}s.UTF8ToString=J,s.allocateUTF8=ut;var dt,mt,vt,ht,wt,gt,yt,pt,kt,Et,bt,St,Dt,At,Rt,Nt,Ft,Mt,Pt,Tt,Lt,Ct,Bt,zt,It,Ot,Ut,jt,Ht,qt,$t,Wt,Gt,Vt,Xt,xt,Yt,Kt,Jt,Qt,Zt,en,rn,tn,nn,on,an,sn,cn,_n,ln,un,fn,dn,mn,vn,hn,wn,gn,yn,pn,kn,En,bn,Sn,Dn,An,Be,Rn,ze,Ie,Oe,Nn,Fn,ce;function Mn(e){dt=s._c2c_geometry_revision=e.G,mt=s._c2c_zoom_fit=e.H,vt=s._c2c_set_layer_visible=e.I,ht=s._c2c_set_all_layers_visible=e.J,wt=s._c2c_set_active_cell=e.K,gt=s._c2c_set_hier_levels=e.L,yt=s._c2c_zoom_box=e.M,pt=s._c2c_cancel_geometry=e.N,kt=s._c2c_add_draw_dot=e.O,Et=s._c2c_add_draw_line=e.P,bt=s._c2c_add_draw_segment=e.Q,St=s._c2c_capture_begin=e.R,Dt=s._c2c_capture_buffer=e.S,At=s._c2c_capture_cancel=e.T,Rt=s._c2c_capture_commit_strip=e.U,Nt=s._c2c_capture_finish=e.V,Ft=s._c2c_capture_render_2d_strip=e.W,Mt=s._c2c_clear_all=e.X,Pt=s._c2c_clear_draw_ghost=e.Y,Tt=s._c2c_clear_draw_markers=e.Z,Lt=s._c2c_clear_hover_bbox=e._,Ct=s._c2c_clear_net_trace_markers=e.$,Bt=s._c2c_clear_rdb_markers=e.aa,zt=s._c2c_commit_config=e.ba,It=s._c2c_delete_selected=e.ca,Ot=s._c2c_find_nearest_dangling_port=e.da,Ut=s._c2c_find_nearest_instance=e.ea,jt=s._c2c_find_nearest_instance_info=e.fa,Ht=s._c2c_finish_layerstack=e.ga,qt=s._c2c_geometry_error=e.ha,$t=s._c2c_get_layout_depth=e.ia,Wt=s._c2c_get_viewport=e.ja,Gt=s._c2c_init=e.ka,Vt=s._c2c_instance_meta_at=e.la,Xt=s._c2c_max_hier=e.ma,xt=s._c2c_mouse_dblclick=e.na,Yt=s._c2c_mouse_enter=e.oa,Kt=s._c2c_mouse_leave=e.pa,Jt=s._c2c_mouse_move=e.qa,Qt=s._c2c_mouse_press=e.ra,Zt=s._c2c_mouse_release=e.sa,en=s._c2c_prepare_geometry=e.ta,rn=s._c2c_prepare_netlist_matches=e.ua,tn=s._c2c_process=e.va,nn=s._c2c_process_layer=e.wa,on=s._c2c_push_draw_ghost_line=e.xa,an=s._c2c_refresh_instance_state=e.ya,sn=s._c2c_request=e.za,cn=s._c2c_request_load_gds=e.Aa,_n=s._c2c_request_redraw=e.Ba,ln=s._c2c_reset=e.Ca,un=s._c2c_resize=e.Da,fn=s._c2c_save_lyp=e.Ea,dn=s._c2c_select_at=e.Fa,mn=s._c2c_set_background_color=e.Ga,vn=s._c2c_set_config=e.Ha,hn=s._c2c_set_draw_ghost_line=e.Ia,wn=s._c2c_set_hover_bbox=e.Ja,gn=s._c2c_show_dangling_ports=e.Ka,yn=s._c2c_update_port_markers=e.La,pn=s._c2c_show_hover_bbox=e.Ma,kn=s._c2c_show_ports=e.Na,En=s._c2c_switch_mode=e.Oa,bn=s._c2c_timer=e.Pa,Sn=s._c2c_top_cell_meta=e.Qa,Dn=s._c2c_viewport_mean_um=e.Ra,An=s._c2c_wheel=e.Sa,Be=s._main=e.Ta,Rn=s._free=e.Ua,ze=s._malloc=e.Va,Ie=e.Wa,Oe=e.Xa,Nn=ce=e.E,Fn=e.__indirect_function_table}var Pn={a:ar,A:yr,w:pr,r:kr,x:Er,y:br,B:Sr,m:Dr,k:Ar,z:Rr,l:Nr,f:Fr,n:Cr,o:Br,c:zr,j:jr,s:qr,u:$r,d:Wr,q:Gr,e:Xr,p:xr,b:Kr,h:Jr,t:Qr,D:Zr,i:et,C:rt,g:tt,v:nt};function Tn(e){e=Object.assign({},e);var r=t=>o=>t(o)>>>0;return e.Va=r(e.Va),e.Xa=r(e.Xa),e}function Ln(e=[]){var r=Be;e.unshift(N);var t=e.length,o=Ce((t+1)*4),a=o;for(var i of e)y[a>>>2>>>0]=_t(i),a+=4;y[a>>>2>>>0]=0;try{var c=r(t,o);return st(c,!0),c}catch(_){return ct(_)}}async function Cn(e=z){Xe(),Z&&await dr();var r=s.setStatus;if(r&&(r("Running..."),await new Promise(o=>setTimeout(o,1)),setTimeout(r,1,"")),!V){xe(),s.onRuntimeInitialized?.();var t=s.noInitialRun||!1;t||Ln(e),Ye()}}var ee;return ee=await tr(),await Cn(),s}var Ue=Bn;var zn={init:"_c2c_init",resize:"_c2c_resize",timer:"_c2c_timer",process:"_c2c_process",requestRedraw:"_c2c_request_redraw",commitConfig:"_c2c_commit_config",viewportMeanUm:"_c2c_viewport_mean_um",geometryRevision:"_c2c_geometry_revision",prepareGeometry:"_c2c_prepare_geometry",cancelGeometry:"_c2c_cancel_geometry",processLayer:"_c2c_process_layer",finishLayerstack:"_c2c_finish_layerstack",prepareNetlistMatches:"_c2c_prepare_netlist_matches",refreshInstanceState:"_c2c_refresh_instance_state",setLayerVisible:"_c2c_set_layer_visible",setAllLayersVisible:"_c2c_set_all_layers_visible",zoomBox:"_c2c_zoom_box",zoomFit:"_c2c_zoom_fit",getLayoutDepth:"_c2c_get_layout_depth",setHierLevels:"_c2c_set_hier_levels",maxHier:"_c2c_max_hier",clearAll:"_c2c_clear_all",showPorts:"_c2c_show_ports",showDanglingPorts:"_c2c_show_dangling_ports",updatePortMarkers:"_c2c_update_port_markers",clearRdbMarkers:"_c2c_clear_rdb_markers",clearNetTraceMarkers:"_c2c_clear_net_trace_markers",showHoverBbox:"_c2c_show_hover_bbox",setHoverBbox:"_c2c_set_hover_bbox",clearHoverBbox:"_c2c_clear_hover_bbox",addDrawDot:"_c2c_add_draw_dot",addDrawLine:"_c2c_add_draw_line",addDrawSegment:"_c2c_add_draw_segment",clearDrawMarkers:"_c2c_clear_draw_markers",setDrawGhostLine:"_c2c_set_draw_ghost_line",pushDrawGhostLine:"_c2c_push_draw_ghost_line",clearDrawGhost:"_c2c_clear_draw_ghost",selectAt:"_c2c_select_at",deleteSelected:"_c2c_delete_selected",mouseMove:"_c2c_mouse_move",mousePress:"_c2c_mouse_press",mouseRelease:"_c2c_mouse_release",mouseDblclick:"_c2c_mouse_dblclick",mouseEnter:"_c2c_mouse_enter",mouseLeave:"_c2c_mouse_leave",wheel:"_c2c_wheel"},In={geometryError:"_c2c_geometry_error",findNearestDanglingPort:"_c2c_find_nearest_dangling_port",findNearestInstance:"_c2c_find_nearest_instance",findNearestInstanceInfo:"_c2c_find_nearest_instance_info",instanceMetaAt:"_c2c_instance_meta_at",topCellMeta:"_c2c_top_cell_meta",saveLyp:"_c2c_save_lyp"};function $(k,s){return Object.assign(new Error(s),{code:k})}function je(){let k,s;function R(){if(!k)throw $("NOT_INITIALIZED","Native runtime is not available");return k}function H(u,f){return f?u.UTF8ToString(f):null}function z(u,f){let m=R(),g=[];try{for(let S of u){let C=m.allocateUTF8(S);if(!C)throw $("ENGINE_ERROR","Native string allocation failed");g.push(C)}return f(m,...g)}finally{for(let S of g.reverse())m._free(S)}}function N(u,...f){let m=R(),g=H(m,m[u](...f));if(!g)throw $("RENDER_FAILED","Native capture returned no result");let S=JSON.parse(g);if(!S.ok)throw $(S.error.code,S.error.message);return S.result}function I(u){return z([u],(f,m)=>{let g=H(f,f._c2c_request(m));if(!g)throw $("ENGINE_ERROR","Native request returned no response");return JSON.parse(g)})}let O=Object.fromEntries(Object.entries(zn).map(([u,f])=>[u,(...m)=>R()[f](...m)])),K=Object.fromEntries(Object.entries(In).map(([u,f])=>[u,(...m)=>{let g=R();return H(g,g[f](...m))}]));return{...O,...K,callbacks(u){return{...u,rweb_on_pixels_ready(f,m,g){let S=new Uint8ClampedArray(f.length),C=new Uint32Array(S.buffer),V=new Uint32Array(f.buffer,f.byteOffset,f.length/4);for(let U=0;U<V.length;U++){let X=V[U];C[U]=X&4278255360|(X&16711680)>>>16|(X&255)<<16}u.rweb_on_pixels_ready(S,m,g)}}},attach(u){if(k)throw $("INTERNAL_ERROR","Native runtime is already attached");k=u},dispose(){let u=k;k=void 0,s=void 0,u?._c2c_reset()},request:I,requestLoadGds(u,f){return z([u,f],(m,g,S)=>{let C=H(m,m._c2c_request_load_gds(g,S));if(!C)throw $("ENGINE_ERROR","Native request returned no response");return JSON.parse(C)})},setConfig(u,f){return z([u,f],(m,g,S)=>m._c2c_set_config(g,S))},setBackgroundColor(u){return z([u],(f,m)=>f._c2c_set_background_color(m))},switchMode(u){return z([u],(f,m)=>f._c2c_switch_mode(m))},getViewportBox(){let u=R(),f=u._malloc(32);if(!f)throw $("ENGINE_ERROR","Native viewport allocation failed");try{u._c2c_get_viewport(f);let m=u.HEAPF64,g=f/8;return{l:m[g],b:m[g+1],r:m[g+2],t:m[g+3]}}finally{u._free(f)}},captureBegin(u,f){return s=N("_c2c_capture_begin",u,f),{...s}},captureWriteTile(u,f,m,g){let S=R();if(!s||!Number.isInteger(u)||!Number.isInteger(f)||!Number.isInteger(m)||u<0||f<=0||m<=0||u+f>s.width||m>s.stripRows||!(g instanceof Uint8Array)||g.length!==f*m*4)throw $("RENDER_FAILED","Invalid native capture tile");let C=S._c2c_capture_buffer();if(!C)throw $("RENDER_FAILED","Capture strip was released");let V=S.HEAPU8;if(C+s.width*m*4>V.length)throw $("RENDER_FAILED","Capture strip exceeds native memory");for(let U=0;U<m;U++){let X=(m-U-1)*f*4;V.set(g.subarray(X,X+f*4),C+(U*s.width+u)*4)}},captureCommitStrip(){return N("_c2c_capture_commit_strip")},captureRender2dStrip(){return N("_c2c_capture_render_2d_strip")},captureFinish(){let u=N("_c2c_capture_finish"),f=R().HEAPU8;if(!Number.isInteger(u.pointer)||!Number.isInteger(u.length)||u.pointer<=0||u.length<0||u.pointer+u.length>f.length)throw $("RENDER_FAILED","Invalid native capture result buffer");return f.slice(u.pointer,u.pointer+u.length)},captureCancel(){s=void 0,R()._c2c_capture_cancel()}}}var He=["rweb_on_pixels_ready","rweb_on_mouse_coords","rweb_on_loaded","rweb_on_netlist_loaded","kwasm_add_layer_polygons","kwasm_meshes_complete","kwasm_geometry_failed"],qe=["init","resize","timer","process","requestRedraw","commitConfig","viewportMeanUm","geometryRevision","prepareGeometry","cancelGeometry","processLayer","finishLayerstack","prepareNetlistMatches","refreshInstanceState","setLayerVisible","setAllLayersVisible","zoomBox","zoomFit","getLayoutDepth","setHierLevels","maxHier","clearAll","showPorts","showDanglingPorts","updatePortMarkers","clearRdbMarkers","clearNetTraceMarkers","showHoverBbox","setHoverBbox","clearHoverBbox","addDrawDot","addDrawLine","addDrawSegment","clearDrawMarkers","setDrawGhostLine","pushDrawGhostLine","clearDrawGhost","selectAt","deleteSelected","mouseMove","mousePress","mouseRelease","mouseDblclick","mouseEnter","mouseLeave","wheel","geometryError","findNearestDanglingPort","findNearestInstance","findNearestInstanceInfo","instanceMetaAt","topCellMeta","saveLyp","request","requestLoadGds","setConfig","setBackgroundColor","switchMode","getViewportBox","captureBegin","captureWriteTile","captureCommitStrip","captureRender2dStrip","captureFinish","captureCancel"];function _e(k,s=new Set){if(k instanceof ArrayBuffer)s.add(k);else if(ArrayBuffer.isView(k))s.add(k.buffer);else if(Array.isArray(k))for(let R of k)_e(R,s);else if(k&&typeof k=="object")for(let R of Object.values(k))_e(R,s);return[...s]}function $e(k,s){let R=[],H=Object.fromEntries(He.map(N=>[N,(...I)=>{if(N==="kwasm_geometry_failed"){let O=I[0];I=[{code:O?.code||"INTERNAL_ERROR",message:O?.message||String(O)}]}R.push({name:N,args:I})}])),z=new Set(qe);return{callbacks:H,invoke({id:N,method:I,args:O}){R=[];let K,u;try{if(!z.has(I)||!Array.isArray(O))throw Object.assign(new Error("Invalid native worker operation"),{code:"INVALID_REQUEST"});K=k[I](...O)}catch(m){u={code:m.code||"ENGINE_ERROR",message:m.message||String(m)},m instanceof WebAssembly.RuntimeError&&(u.fatal=!0)}let f={type:"result",id:N,result:K,error:u,notifications:R};R=[],s(f,_e(f))}}}var ve=je(),We=$e(ve,(k,s)=>self.postMessage(k,s)),Ge=!1;self.onmessage=async({data:k})=>{if(k.type==="initialize"&&!Ge){Ge=!0;try{let s=Uint8Array.from(atob(k.wasm),N=>N.charCodeAt(0)),R=new ReadableStream({start(N){N.enqueue(s),N.close()}}),H=await new Response(R.pipeThrough(new DecompressionStream("gzip"))).arrayBuffer(),z=await WebAssembly.compile(H);ve.attach(await Ue({instantiateWasm(N,I){let O=new WebAssembly.Instance(z,N);return I(O,z),O.exports},...ve.callbacks(We.callbacks)})),self.postMessage({type:"ready"})}catch(s){self.postMessage({type:"fatal",error:{code:"ENGINE_ERROR",message:s.message||String(s)}})}}else k.type==="invoke"&&We.invoke(k)};})();\n',wasm:uM,callbacks:Object.fromEntries(em.map(E=>[E,(...k)=>{if(!r.destroyed&&!(["kwasm_add_layer_polygons","kwasm_meshes_complete"].includes(E)&&!A.geometryReadyReject))return I[E](...k)}])),onFatal(E){r.destroyed||(d({type:"kwasm:error",message:E.message}),xe())}});r.defer(()=>b.dispose()),b.ready.catch(()=>{});let T=o.getElementById("layout_canvas"),M=T.getContext("2d"),S=o.getElementById("layers"),N=o.getElementById("drop-hint"),P=o.getElementById("coord-overlay"),R=o.getElementById("instance-overlay"),C=o.getElementById("top-cell-meta-overlay");performance.mark("kwasm:js_start");let{callbacks:I,startGeometry:B,createScene:H,renderLayers:X,resizeCanvas:V,showToast:W,browserCommand:Y,invalidateCellTree:te,refreshAllPortMarkers:G,resetProjectPresentation:$,renderConnectivity:ae}=jp({canvas:T,clearTimeout:f,coordOverlay:P,ctx:M,currentKwasmTheme:oe,drawing:x,dropHint:N,engine:b,events:g,failGeometry:F,instanceOverlay:R,layerState:w,layersEl:S,life:r,localRequest:ue,renderState:v,reply:d,requestAnimationFrame:p,requestIdleCallback:m,root:o,sceneState:A,setKwasmTheme:de,setTimeout:h,surface:c,toggleViewMode:Q,topCellMetaOverlay:C,view:_,work:y}),ge=om({allowedOrigins:i,engine:b,executeResult:le,life:r,view:_,viewerId:t,work:y});function ue(E){return ge.localRequest(E)}function oe(){return c.dataset.theme==="light"?"light":"dark"}async function ye(E){A.instance?.updateSceneBg(),_.initialized&&await b.setBackgroundColor(E==="light"?"#ffffff":"#000000")}async function de(E){return["light","dark"].includes(E)?(c.dataset.theme=E,_.darkMode=E==="dark",o.getElementById("theme-icon").className=E==="light"?"fas fa-moon":"fas fa-sun",o.getElementById("btn-theme").title=E==="light"?"Switch to Dark Mode":"Switch to Light Mode",await ye(E),!0):!1}async function Ce(E,k){if(k?.throwIfAborted(),E==="3d"){if(!_.layoutLoaded)throw Object.assign(new Error("Load a GDS before switching to 3D"),{code:"LAYOUT_NOT_LOADED"});A.instance||H();let ee=await b.geometryRevision();if(k?.throwIfAborted(),ee!==A.geometryRevision){let ie=await b.prepareGeometry();if(k?.aborted&&(await b.cancelGeometry(),k.throwIfAborted()),ie<0)throw Object.assign(new Error(ie===-1?"Load a layerstack before switching to 3D":await b.geometryError()),{code:ie===-1?"LAYERSTACK_NOT_LOADED":"ENGINE_ERROR"});A.geometryRevision=ee;let se=r.pauseScheduledWork(),Te=c.inert;c.inert=!0;let pe=()=>F(k.reason);k?.addEventListener("abort",pe,{once:!0});try{await new Promise((ve,be)=>{A.geometryReadyResolve=ve,A.geometryReadyReject=be,A.instance.clearScene(),B(ie).catch(F),re(E)}),k?.throwIfAborted()}catch(ve){if(F(ve),!r.destroyed)try{A.instance.clearScene()}finally{await b.cancelGeometry(),re("2d"),await V()}throw ve}finally{k?.removeEventListener("abort",pe),c.inert=Te,se()}}}return re(E),X(_.latestLayers),E==="2d"?await V():A.instance.resizeRenderer(),{view:E}}function F(E){++A._layerstackGeneration,A.geometryRevision=-1,o.getElementById("loading-overlay").classList.add("hidden"),A.geometryReadyReject?.(E),A.geometryReadyResolve=A.geometryReadyReject=null}function re(E){_.viewMode=E,o.getElementById("viewer-2d-container").style.display=E==="2d"?"":"none",o.getElementById("viewer-3d-container").style.display=E==="3d"?"":"none",o.querySelectorAll(".toolbar-group-2d").forEach(k=>{k.style.display=E==="2d"?"":"none"}),o.querySelectorAll(".toolbar-group-3d").forEach(k=>{k.style.display=E==="3d"?"":"none"}),o.getElementById("btn-toggle-3d").classList.toggle("active",E==="3d")}function Q(){ue({action:"setView",view:_.viewMode==="2d"?"3d":"2d"}).then(E=>{E.status==="error"&&W(E.error.message)}).catch(E=>W(E.message))}async function le(E,k,ee){return ee.throwIfAborted(),E.action==="setConnectivity"&&ae(E.connectivity),k.result?.ui&&(k.result=E.action==="setView"?await Ce(k.result.ui.view,ee):await Y(k.result.ui,ee)),ee.throwIfAborted(),E.action==="loadGds"&&(_.initialGds=E.gds,te(),x.drawPrevX=x.drawPrevY=null,x.drawLastDir=null,x.drawingFreehand=!1,x.drawPoints=[],x.drawStopPoint=null,x.routeSourcePort=null,x.routeCorners=[],x.moveStartInstance=null,x.selectStartClientX=x.selectStartClientY=null,E.resetProject&&(_.viewMode==="3d"&&await Ce("2d"),$()),(_.portsVisible||_.instancePortsVisible||_.danglingPortsVisible)&&await G(),_.viewMode==="3d"&&await Ce("3d"),d({type:"kwasm:loaded",revision:await b.geometryRevision()})),["loadLyp","loadLayerstack","setActiveCell"].includes(E.action)&&_.viewMode==="3d"&&await Ce("3d"),E.action==="getState"&&(k.result.view=_.viewMode),k}o.addEventListener("pointerdown",()=>{o.activeElement||c.focus({preventScroll:!0})});let j=0,Re=new ResizeObserver(()=>{g.dispatchEvent(new Event("viewer-resize")),!j&&(j=r.requestAnimationFrame(()=>{j=0,y.background(async()=>{_.viewMode==="2d"&&await V(),A.instance?.resizeRenderer()},"resize")}))});r.defer(()=>Re.disconnect()),Re.observe(a),re("2d"),e.tools!==void 0&&(o.querySelectorAll("[data-tool]").forEach(E=>{E.style.display=e.tools.includes(E.dataset.tool)?"":"none"}),e.tools.length||(o.getElementById("toolbar").style.display="none")),e.layers===!1&&(o.getElementById("layer-tab").style.display="none",o.getElementById("layer-panel").style.display="none"),e.drop!==!1?(c.addEventListener("dragover",E=>{E.preventDefault(),o.getElementById("drop-overlay").classList.add("active")}),c.addEventListener("dragleave",E=>{c.contains(E.relatedTarget)||o.getElementById("drop-overlay").classList.remove("active")}),c.addEventListener("drop",async E=>{E.preventDefault(),o.getElementById("drop-overlay").classList.remove("active");try{for(let k of E.dataTransfer.files){let ee=k.name.split(".").pop().toLowerCase(),ie;if(["gds","gdsii"].includes(ee))ie={action:"loadGds",gds:await new Promise((pe,ve)=>{let be=new FileReader;be.onload=()=>pe(be.result.split(",")[1]),be.onerror=()=>ve(be.error),be.readAsDataURL(k)})};else if(["lyp","lyrdb"].includes(ee))ie={action:ee==="lyp"?"loadLyp":"loadLyrdb",[ee]:await k.text()};else throw new Error("Drop a .gds, .gdsii, .lyp, or .lyrdb file");let se=await ue(ie);if(se.status==="error")throw new Error(se.error.message)}}catch(k){r.destroyed||W(k.message)}})):N.style.display="none";function xe(){r.destroyed||(ge.destroy(),F(Object.assign(new Error("Viewer was destroyed"),{code:"DESTROYED"})),r.destroy())}r.defer(()=>{let E=A.instance;A.instance=null,E?.dispose()}),r.defer(()=>{_.initialized=!1,_.layoutLoaded=!1,_.initialGds=null,_.latestLayers=[],x.drawPoints=[],x.routeCorners=[],x.routeSourcePort=null,x.moveStartInstance=null,T.width=T.height=0,b.dispose()});let L=(async()=>{if(await b.ready,r.destroyed)throw b.dispose(),new Error("Viewer was destroyed during initialization");if(await V(),await b.init(T.width,T.height),_.initialized=!0,await u.load(),r.destroyed)throw new Error("Viewer was destroyed during initialization");for(let[E,k]of[["gds","loadGds"],["lyp","loadLyp"],["lyrdb","loadLyrdb"],["netlist","loadNetlist"],["layerstack","loadLayerstack"],["connectivity","setConnectivity"]])if(e[E]!==void 0){let ee=await ue({action:k,[E]:e[E]});if(ee.status==="error")throw Object.assign(new Error(ee.error.message),ee.error)}d({type:"kwasm:ready",version:2})})().catch(E=>{throw r.destroyed||d({type:"kwasm:error",message:E.message}),xe(),E});return cm(t,L,xe,r)}return xm(xM);})();