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   "cell_type": "code",
   "execution_count": null,
   "id": "593f43b1-8665-42e0-bac7-c8b5e073ce6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install git+http://hf.co/usm3d/tools.git    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c2c7762c-9a4f-44c0-b069-e0065ccacefa",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "503c6bcb-aa46-46c6-8b86-566b0a470b43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "30de2fbd3ee946cbb18d8d65e2514387",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import torch\n",
    "from pytorch3d.renderer import (\n",
    "    look_at_view_transform,\n",
    "    FoVOrthographicCameras, \n",
    "    PointsRasterizationSettings,\n",
    "    PointsRenderer,\n",
    "    PulsarPointsRenderer,\n",
    "    PointsRasterizer,\n",
    "    AlphaCompositor,\n",
    "    NormWeightedCompositor,\n",
    "    PerspectiveCameras\n",
    ")\n",
    "from pytorch3d.structures import Pointclouds\n",
    "import webdataset as wds \n",
    "import numpy as np\n",
    "from huggingface_hub import hf_hub_download\n",
    "from hoho import proc\n",
    "from tqdm import tqdm\n",
    "import sys\n",
    "sys.path.append('..')\n",
    "import trimesh\n",
    "import hoho\n",
    "from hoho import *\n",
    "from hoho.vis import line\n",
    "import itertools\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm\n",
    "from hoho.viz3d import plot_estimate_and_gt\n",
    "import itertools  \n",
    "import random\n",
    "import cv2 as cv2\n",
    "\n",
    "from my_solution import predict\n",
    "from helpers import *\n",
    "from geom_solver import GeomSolver, one_line_solution\n",
    "from hoho.color_mappings import gestalt_color_mapping, ade20k_color_mapping\n",
    "\n",
    "import huggingface_hub  \n",
    "huggingface_hub.login()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "88f4fc8f-efa9-404b-9073-c7d4a73f9075",
   "metadata": {},
   "outputs": [],
   "source": [
    "random.seed(0)\n",
    "np.random.seed(0)\n",
    "torch.manual_seed(0)\n",
    "# One shard of the dataset\n",
    "dataset = wds.WebDataset(hf_hub_download(repo_id='usm3d/hoho-train-set',\n",
    "            filename='data/val/inputs/hoho_v3_025-of-032.tar.gz',\n",
    "            repo_type=\"dataset\"))\n",
    "dataset_targets = wds.WebDataset(hf_hub_download(repo_id='usm3d/hoho-train-set',\n",
    "            filename='data/val/targets/hoho_v3_025-of-032.tar.gz',\n",
    "            repo_type=\"dataset\"))\n",
    "\n",
    "dataset = dataset.decode()\n",
    "dataset = dataset.map(proc)\n",
    "\n",
    "dataset_targets = dataset_targets.decode()\n",
    "dataset_targets = dataset_targets.map(proc)\n",
    "sc0 = []\n",
    "sc = []\n",
    "for ki, (entry, entry_gt) in tqdm(enumerate(zip(dataset, dataset_targets))):\n",
    "    solver = GeomSolver(return_fully_connected=False, return_edges=False)\n",
    "    vertices, edges = solver.solve(entry)\n",
    "    \n",
    "    # nverts = entry_gt['wf_vertices'].shape[0]\n",
    "    # nverts = vertices.shape[0]\n",
    "    nverts = 23\n",
    "    vertices0, edges0 = one_line_solution(nverts)\n",
    "\n",
    "    scores0 = (compute_WED(vertices0,\n",
    "            edges0,\n",
    "            np.array(entry_gt['wf_vertices']),\n",
    "            np.array(entry_gt['wf_edges'])))\n",
    "\n",
    "    scores = (compute_WED(vertices,\n",
    "                edges,\n",
    "                np.array(entry_gt['wf_vertices']),\n",
    "                np.array(entry_gt['wf_edges'])))\n",
    "    # print(scores0, scores)\n",
    "    sc0.append(scores0)\n",
    "    sc.append(scores)\n",
    "\n",
    "print(\"Averages\")\n",
    "print(np.mean(sc0), np.mean(sc))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "70c53366-f1fe-47d7-b815-1eb2f1431f69",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = wds.WebDataset(hf_hub_download(repo_id='usm3d/hoho-train-set',\n",
    "            filename='data/train/hoho_v3_000-of-032.tar.gz',\n",
    "            repo_type=\"dataset\"))\n",
    "dataset = dataset.decode()\n",
    "dataset = dataset.map(proc)\n",
    "for ki, entry in enumerate(dataset):\n",
    "    if ki >= 33:\n",
    "        break\n",
    "solver = GeomSolver(return_fully_connected=False, return_edges=True)\n",
    "vertices, edges = solver.solve(entry)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "2816dcb2-1802-40d3-8dd5-2ab7c39d90bf",
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   "outputs": [
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      "[0 1 2 3 4 5 6 7 8] [ 5  6  0  4  3 15  8  7 16]\n",
      "1808.711001352663 0.0 8260.721159421442 0.0 6681.711893031297\n",
      "1.6631176981951867\n"
     ]
    }
   ],
   "source": [
    "print(my_compute_WED(vertices,\n",
    "            edges,\n",
    "            np.array(entry['wf_vertices']),\n",
    "            np.array(entry['wf_edges'])))"
   ]
  },
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       "                            \n",
       "var gd = document.getElementById('812b450c-a96d-42a6-8596-27d27ba9ec04');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(entry['wf_vertices'].shape, vertices.shape[0])\n",
    "# vertices, edges = one_line_solution(17)\n",
    "print(my_compute_WED(vertices,\n",
    "            edges,\n",
    "            np.array(entry['wf_vertices']),\n",
    "            np.array(entry['wf_edges']), preregister=False))\n",
    "\n",
    "plot_estimate_and_gt(   vertices, \n",
    "                        edges,         \n",
    "                        np.array(entry['wf_vertices']),\n",
    "                        np.array(entry['wf_edges']))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c7ce110",
   "metadata": {},
   "source": [
    "# Visualizing inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "080f1a12-06bf-4b97-8a52-d7cf416adede",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1080x810>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "human_entry = convert_entry_to_human_readable(entry)\n",
    "\n",
    "# for ki in range(len(human_entry['gestalt'])):\n",
    "#     plt.figure()\n",
    "#     plt.imshow(human_entry['gestalt'][ki])\n",
    "#     plt.title('Gestalt segmentation')\n",
    "\n",
    "# plt.figure()\n",
    "# depth = np.array(human_entry['depthcm'][0])/100.\n",
    "# depth[depth>20] = 0\n",
    "# depth = depth/depth.max()\n",
    "# plt.title('Monodepth')\n",
    "# plt.imshow(depth, cmap='rainbow')\n",
    "\n",
    "vis.visualize_order_images(human_entry)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "60cb109d-099e-4c10-80d6-f7f60616b7f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><iframe srcdoc=\"<!DOCTYPE html>\n",
       "<html lang=&quot;en&quot;>\n",
       "  <head>\n",
       "    <title>trimesh: threejs viewer</title>\n",
       "    <meta charset=&quot;utf-8&quot;>\n",
       "    <meta name=&quot;viewport&quot; content=&quot;width=device-width, \n",
       "\t\t   user-scalable=no, \n",
       "\t\t   minimum-scale=1.0, \n",
       "\t\t   maximum-scale=1.0&quot;>\n",
       "    <style>\n",
       "      body {\n",
       "      margin: 0px;\n",
       "      overflow: hidden;\n",
       "      }\n",
       "    </style>\n",
       "  </head>\n",
       "  <body>\n",
       "    <div id=&quot;container&quot;></div>\n",
       "    <script>// threejs.org/license\n",
       "(function(k,Ea){&quot;object&quot;===typeof exports&&&quot;undefined&quot;!==typeof module?Ea(exports):&quot;function&quot;===typeof define&&define.amd?define([&quot;exports&quot;],Ea):(k=k||self,Ea(k.THREE={}))})(this,function(k){function Ea(){}function t(a,b){this.x=a||0;this.y=b||0}function wa(){this.elements=[1,0,0,0,1,0,0,0,1];0<arguments.length&&console.error(&quot;THREE.Matrix3: the constructor no longer reads arguments. use .set() instead.&quot;)}function V(a,b,c,d,e,f,g,h,l,m){Object.defineProperty(this,&quot;id&quot;,{value:pj++});this.uuid=L.generateUUID();\n",
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       "c){this.x=a||0;this.y=b||0;this.z=c||0}function P(){this.elements=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];0<arguments.length&&console.error(&quot;THREE.Matrix4: the constructor no longer reads arguments. use .set() instead.&quot;)}function Tb(a,b,c,d){this._x=a||0;this._y=b||0;this._z=c||0;this._order=d||Tb.DefaultOrder}function He(){this.mask=1}function F(){Object.defineProperty(this,&quot;id&quot;,{value:qj++});this.uuid=L.generateUUID();this.name=&quot;&quot;;this.type=&quot;Object3D&quot;;this.parent=null;this.children=[];this.up=F.DefaultUp.clone();\n",
       "var a=new n,b=new Tb,c=new Aa,d=new n(1,1,1);b._onChange(function(){c.setFromEuler(b,!1)});c._onChange(function(){b.setFromQuaternion(c,void 0,!1)});Object.defineProperties(this,{position:{configurable:!0,enumerable:!0,value:a},rotation:{configurable:!0,enumerable:!0,value:b},quaternion:{configurable:!0,enumerable:!0,value:c},scale:{configurable:!0,enumerable:!0,value:d},modelViewMatrix:{value:new P},normalMatrix:{value:new wa}});this.matrix=new P;this.matrixWorld=new P;this.matrixAutoUpdate=F.DefaultMatrixAutoUpdate;\n",
       "this.matrixWorldNeedsUpdate=!1;this.layers=new He;this.visible=!0;this.receiveShadow=this.castShadow=!1;this.frustumCulled=!0;this.renderOrder=0;this.userData={}}function ob(){F.call(this);this.type=&quot;Scene&quot;;this.overrideMaterial=this.fog=this.environment=this.background=null;this.autoUpdate=!0;&quot;undefined&quot;!==typeof __THREE_DEVTOOLS__&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent(&quot;observe&quot;,{detail:this}))}function Sa(a,b){this.min=void 0!==a?a:new n(Infinity,Infinity,Infinity);this.max=void 0!==\n",
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       "b;this.c=c;this.normal=d&&d.isVector3?d:new n;this.vertexNormals=Array.isArray(d)?d:[];this.color=e&&e.isColor?e:new A;this.vertexColors=Array.isArray(e)?e:[];this.materialIndex=void 0!==f?f:0}function K(){Object.defineProperty(this,&quot;id&quot;,{value:rj++});this.uuid=L.generateUUID();this.name=&quot;&quot;;this.type=&quot;Material&quot;;this.fog=!0;this.blending=1;this.side=0;this.vertexColors=this.flatShading=!1;this.opacity=1;this.transparent=!1;this.blendSrc=204;this.blendDst=205;this.blendEquation=100;this.blendEquationAlpha=\n",
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       "!1;this.toneMapped=this.visible=!0;this.userData={};this.version=0}function Oa(a){K.call(this);this.type=&quot;MeshBasicMaterial&quot;;this.color=new A(16777215);this.lightMap=this.map=null;this.lightMapIntensity=1;this.aoMap=null;this.aoMapIntensity=1;this.envMap=this.alphaMap=this.specularMap=null;this.combine=0;this.reflectivity=1;this.refractionRatio=.98;this.wireframe=!1;this.wireframeLinewidth=1;this.wireframeLinejoin=this.wireframeLinecap=&quot;round&quot;;this.morphTargets=this.skinning=!1;this.setValues(a)}\n",
       "function M(a,b,c){if(Array.isArray(a))throw new TypeError(&quot;THREE.BufferAttribute: array should be a Typed Array.&quot;);this.name=&quot;&quot;;this.array=a;this.itemSize=b;this.count=void 0!==a?a.length/b:0;this.normalized=!0===c;this.usage=35044;this.updateRange={offset:0,count:-1};this.version=0}function Bd(a,b,c){M.call(this,new Int8Array(a),b,c)}function Cd(a,b,c){M.call(this,new Uint8Array(a),b,c)}function Dd(a,b,c){M.call(this,new Uint8ClampedArray(a),b,c)}function Ed(a,b,c){M.call(this,new Int16Array(a),\n",
       "b,c)}function Wb(a,b,c){M.call(this,new Uint16Array(a),b,c)}function Fd(a,b,c){M.call(this,new Int32Array(a),b,c)}function Xb(a,b,c){M.call(this,new Uint32Array(a),b,c)}function y(a,b,c){M.call(this,new Float32Array(a),b,c)}function Gd(a,b,c){M.call(this,new Float64Array(a),b,c)}function xh(){this.vertices=[];this.normals=[];this.colors=[];this.uvs=[];this.uvs2=[];this.groups=[];this.morphTargets={};this.skinWeights=[];this.skinIndices=[];this.boundingSphere=this.boundingBox=null;this.groupsNeedUpdate=\n",
       "this.uvsNeedUpdate=this.colorsNeedUpdate=this.normalsNeedUpdate=this.verticesNeedUpdate=!1}function yh(a){if(0===a.length)return-Infinity;for(var b=a[0],c=1,d=a.length;c<d;++c)a[c]>b&&(b=a[c]);return b}function C(){Object.defineProperty(this,&quot;id&quot;,{value:sj+=2});this.uuid=L.generateUUID();this.name=&quot;&quot;;this.type=&quot;BufferGeometry&quot;;this.index=null;this.attributes={};this.morphAttributes={};this.morphTargetsRelative=!1;this.groups=[];this.boundingSphere=this.boundingBox=null;this.drawRange={start:0,count:Infinity};\n",
       "this.userData={}}function S(a,b){F.call(this);this.type=&quot;Mesh&quot;;this.geometry=void 0!==a?a:new C;this.material=void 0!==b?b:new Oa;this.updateMorphTargets()}function zh(a,b,c,d,e,f,g,h){if(null===(1===b.side?d.intersectTriangle(g,f,e,!0,h):d.intersectTriangle(e,f,g,2!==b.side,h)))return null;Ie.copy(h);Ie.applyMatrix4(a.matrixWorld);b=c.ray.origin.distanceTo(Ie);return b<c.near||b>c.far?null:{distance:b,point:Ie.clone(),object:a}}function Je(a,b,c,d,e,f,g,h,l,m,u,p){Yb.fromBufferAttribute(e,m);Zb.fromBufferAttribute(e,\n",
       "u);$b.fromBufferAttribute(e,p);e=a.morphTargetInfluences;if(b.morphTargets&&f&&e){Ke.set(0,0,0);Le.set(0,0,0);Me.set(0,0,0);for(var x=0,r=f.length;x<r;x++){var k=e[x],v=f[x];0!==k&&(dg.fromBufferAttribute(v,m),eg.fromBufferAttribute(v,u),fg.fromBufferAttribute(v,p),g?(Ke.addScaledVector(dg,k),Le.addScaledVector(eg,k),Me.addScaledVector(fg,k)):(Ke.addScaledVector(dg.sub(Yb),k),Le.addScaledVector(eg.sub(Zb),k),Me.addScaledVector(fg.sub($b),k)))}Yb.add(Ke);Zb.add(Le);$b.add(Me)}if(a=zh(a,b,c,d,Yb,Zb,\n",
       "$b,Hd))h&&(Cc.fromBufferAttribute(h,m),Dc.fromBufferAttribute(h,u),Ec.fromBufferAttribute(h,p),a.uv=oa.getUV(Hd,Yb,Zb,$b,Cc,Dc,Ec,new t)),l&&(Cc.fromBufferAttribute(l,m),Dc.fromBufferAttribute(l,u),Ec.fromBufferAttribute(l,p),a.uv2=oa.getUV(Hd,Yb,Zb,$b,Cc,Dc,Ec,new t)),h=new Bc(m,u,p),oa.getNormal(Yb,Zb,$b,h.normal),a.face=h;return a}function N(){Object.defineProperty(this,&quot;id&quot;,{value:tj+=2});this.uuid=L.generateUUID();this.name=&quot;&quot;;this.type=&quot;Geometry&quot;;this.vertices=[];this.colors=[];this.faces=[];\n",
       "this.faceVertexUvs=[[]];this.morphTargets=[];this.morphNormals=[];this.skinWeights=[];this.skinIndices=[];this.lineDistances=[];this.boundingSphere=this.boundingBox=null;this.groupsNeedUpdate=this.lineDistancesNeedUpdate=this.colorsNeedUpdate=this.normalsNeedUpdate=this.uvsNeedUpdate=this.verticesNeedUpdate=this.elementsNeedUpdate=!1}function Fc(a){var b={},c;for(c in a){b[c]={};for(var d in a[c]){var e=a[c][d];e&&(e.isColor||e.isMatrix3||e.isMatrix4||e.isVector2||e.isVector3||e.isVector4||e.isTexture)?\n",
       "b[c][d]=e.clone():Array.isArray(e)?b[c][d]=e.slice():b[c][d]=e}}return b}function va(a){for(var b={},c=0;c<a.length;c++){var d=Fc(a[c]),e;for(e in d)b[e]=d[e]}return b}function Ba(a){K.call(this);this.type=&quot;ShaderMaterial&quot;;this.defines={};this.uniforms={};this.vertexShader=&quot;void main() {\\n\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\n}&quot;;this.fragmentShader=&quot;void main() {\\n\\tgl_FragColor = vec4( 1.0, 0.0, 0.0, 1.0 );\\n}&quot;;this.linewidth=1;this.wireframe=!1;this.wireframeLinewidth=\n",
       "1;this.morphNormals=this.morphTargets=this.skinning=this.clipping=this.lights=this.fog=!1;this.extensions={derivatives:!1,fragDepth:!1,drawBuffers:!1,shaderTextureLOD:!1};this.defaultAttributeValues={color:[1,1,1],uv:[0,0],uv2:[0,0]};this.index0AttributeName=void 0;this.uniformsNeedUpdate=!1;void 0!==a&&(void 0!==a.attributes&&console.error(&quot;THREE.ShaderMaterial: attributes should now be defined in THREE.BufferGeometry instead.&quot;),this.setValues(a))}function db(){F.call(this);this.type=&quot;Camera&quot;;this.matrixWorldInverse=\n",
       "new P;this.projectionMatrix=new P;this.projectionMatrixInverse=new P}function aa(a,b,c,d){db.call(this);this.type=&quot;PerspectiveCamera&quot;;this.fov=void 0!==a?a:50;this.zoom=1;this.near=void 0!==c?c:.1;this.far=void 0!==d?d:2E3;this.focus=10;this.aspect=void 0!==b?b:1;this.view=null;this.filmGauge=35;this.filmOffset=0;this.updateProjectionMatrix()}function Gc(a,b,c,d){F.call(this);this.type=&quot;CubeCamera&quot;;var e=new aa(90,1,a,b);e.up.set(0,-1,0);e.lookAt(new n(1,0,0));this.add(e);var f=new aa(90,1,a,b);f.up.set(0,\n",
       "-1,0);f.lookAt(new n(-1,0,0));this.add(f);var g=new aa(90,1,a,b);g.up.set(0,0,1);g.lookAt(new n(0,1,0));this.add(g);var h=new aa(90,1,a,b);h.up.set(0,0,-1);h.lookAt(new n(0,-1,0));this.add(h);var l=new aa(90,1,a,b);l.up.set(0,-1,0);l.lookAt(new n(0,0,1));this.add(l);var m=new aa(90,1,a,b);m.up.set(0,-1,0);m.lookAt(new n(0,0,-1));this.add(m);d=d||{format:1022,magFilter:1006,minFilter:1006};this.renderTarget=new Db(c,d);this.renderTarget.texture.name=&quot;CubeCamera&quot;;this.update=function(a,b){null===this.parent&&\n",
       "this.updateMatrixWorld();var c=a.getRenderTarget(),d=this.renderTarget,p=d.texture.generateMipmaps;d.texture.generateMipmaps=!1;a.setRenderTarget(d,0);a.render(b,e);a.setRenderTarget(d,1);a.render(b,f);a.setRenderTarget(d,2);a.render(b,g);a.setRenderTarget(d,3);a.render(b,h);a.setRenderTarget(d,4);a.render(b,l);d.texture.generateMipmaps=p;a.setRenderTarget(d,5);a.render(b,m);a.setRenderTarget(c)};this.clear=function(a,b,c,d){for(var e=a.getRenderTarget(),f=this.renderTarget,g=0;6>g;g++)a.setRenderTarget(f,\n",
       "g),a.clear(b,c,d);a.setRenderTarget(e)}}function Db(a,b,c){Number.isInteger(b)&&(console.warn(&quot;THREE.WebGLCubeRenderTarget: constructor signature is now WebGLCubeRenderTarget( size, options )&quot;),b=c);Ha.call(this,a,a,b)}function ac(a,b,c,d,e,f,g,h,l,m,u,p){V.call(this,null,f,g,h,l,m,d,e,u,p);this.image={data:a||null,width:b||1,height:c||1};this.magFilter=void 0!==l?l:1003;this.minFilter=void 0!==m?m:1003;this.flipY=this.generateMipmaps=!1;this.unpackAlignment=1;this.needsUpdate=!0}function Hc(a,b,\n",
       "c,d,e,f){this.planes=[void 0!==a?a:new Ta,void 0!==b?b:new Ta,void 0!==c?c:new Ta,void 0!==d?d:new Ta,void 0!==e?e:new Ta,void 0!==f?f:new Ta]}function Ah(){function a(e,f){!1!==c&&(d(e,f),b.requestAnimationFrame(a))}var b=null,c=!1,d=null;return{start:function(){!0!==c&&null!==d&&(b.requestAnimationFrame(a),c=!0)},stop:function(){c=!1},setAnimationLoop:function(a){d=a},setContext:function(a){b=a}}}function uj(a,b){function c(b,c){var d=b.array,e=b.usage,f=a.createBuffer();a.bindBuffer(c,f);a.bufferData(c,\n",
       "d,e);b.onUploadCallback();c=5126;d instanceof Float32Array?c=5126:d instanceof Float64Array?console.warn(&quot;THREE.WebGLAttributes: Unsupported data buffer format: Float64Array.&quot;):d instanceof Uint16Array?c=5123:d instanceof Int16Array?c=5122:d instanceof Uint32Array?c=5125:d instanceof Int32Array?c=5124:d instanceof Int8Array?c=5120:d instanceof Uint8Array&&(c=5121);return{buffer:f,type:c,bytesPerElement:d.BYTES_PER_ELEMENT,version:b.version}}var d=b.isWebGL2,e=new WeakMap;return{get:function(a){a.isInterleavedBufferAttribute&&\n",
       "(a=a.data);return e.get(a)},remove:function(b){b.isInterleavedBufferAttribute&&(b=b.data);var c=e.get(b);c&&(a.deleteBuffer(c.buffer),e.delete(b))},update:function(b,g){b.isInterleavedBufferAttribute&&(b=b.data);var f=e.get(b);if(void 0===f)e.set(b,c(b,g));else if(f.version<b.version){var l=b.array,m=b.updateRange;a.bindBuffer(g,f.buffer);-1===m.count?a.bufferSubData(g,0,l):(d?a.bufferSubData(g,m.offset*l.BYTES_PER_ELEMENT,l,m.offset,m.count):a.bufferSubData(g,m.offset*l.BYTES_PER_ELEMENT,l.subarray(m.offset,\n",
       "m.offset+m.count)),m.count=-1);f.version=b.version}}}}function Id(a,b,c,d){N.call(this);this.type=&quot;PlaneGeometry&quot;;this.parameters={width:a,height:b,widthSegments:c,heightSegments:d};this.fromBufferGeometry(new bc(a,b,c,d));this.mergeVertices()}function bc(a,b,c,d){C.call(this);this.type=&quot;PlaneBufferGeometry&quot;;this.parameters={width:a,height:b,widthSegments:c,heightSegments:d};a=a||1;b=b||1;var e=a/2,f=b/2;c=Math.floor(c)||1;d=Math.floor(d)||1;var g=c+1,h=d+1,l=a/c,m=b/d,u=[],p=[],k=[],r=[];for(a=0;a<\n",
       "h;a++){var q=a*m-f;for(b=0;b<g;b++)p.push(b*l-e,-q,0),k.push(0,0,1),r.push(b/c),r.push(1-a/d)}for(a=0;a<d;a++)for(b=0;b<c;b++)e=b+g*(a+1),f=b+1+g*(a+1),h=b+1+g*a,u.push(b+g*a,e,h),u.push(e,f,h);this.setIndex(u);this.setAttribute(&quot;position&quot;,new y(p,3));this.setAttribute(&quot;normal&quot;,new y(k,3));this.setAttribute(&quot;uv&quot;,new y(r,2))}function vj(a,b,c,d){function e(a,c){b.buffers.color.setClear(a.r,a.g,a.b,c,d)}var f=new A(0),g=0,h,l,m=null,u=0,p=null;return{getClearColor:function(){return f},setClearColor:function(a,\n",
       "b){f.set(a);g=void 0!==b?b:1;e(f,g)},getClearAlpha:function(){return g},setClearAlpha:function(a){g=a;e(f,g)},render:function(b,d,k,v){d=d.background;k=a.xr;(k=k.getSession&&k.getSession())&&&quot;additive&quot;===k.environmentBlendMode&&(d=null);null===d?e(f,g):d&&d.isColor&&(e(d,1),v=!0);(a.autoClear||v)&&a.clear(a.autoClearColor,a.autoClearDepth,a.autoClearStencil);if(d&&(d.isCubeTexture||d.isWebGLCubeRenderTarget||306===d.mapping)){void 0===l&&(l=new S(new Jd(1,1,1),new Ba({type:&quot;BackgroundCubeMaterial&quot;,\n",
       "uniforms:Fc(eb.cube.uniforms),vertexShader:eb.cube.vertexShader,fragmentShader:eb.cube.fragmentShader,side:1,depthTest:!1,depthWrite:!1,fog:!1})),l.geometry.deleteAttribute(&quot;normal&quot;),l.geometry.deleteAttribute(&quot;uv&quot;),l.onBeforeRender=function(a,b,c){this.matrixWorld.copyPosition(c.matrixWorld)},Object.defineProperty(l.material,&quot;envMap&quot;,{get:function(){return this.uniforms.envMap.value}}),c.update(l));v=d.isWebGLCubeRenderTarget?d.texture:d;l.material.uniforms.envMap.value=v;l.material.uniforms.flipEnvMap.value=\n",
       "v.isCubeTexture?-1:1;if(m!==d||u!==v.version||p!==a.toneMapping)l.material.needsUpdate=!0,m=d,u=v.version,p=a.toneMapping;b.unshift(l,l.geometry,l.material,0,0,null)}else if(d&&d.isTexture){void 0===h&&(h=new S(new bc(2,2),new Ba({type:&quot;BackgroundMaterial&quot;,uniforms:Fc(eb.background.uniforms),vertexShader:eb.background.vertexShader,fragmentShader:eb.background.fragmentShader,side:0,depthTest:!1,depthWrite:!1,fog:!1})),h.geometry.deleteAttribute(&quot;normal&quot;),Object.defineProperty(h.material,&quot;map&quot;,{get:function(){return this.uniforms.t2D.value}}),\n",
       "c.update(h));h.material.uniforms.t2D.value=d;!0===d.matrixAutoUpdate&&d.updateMatrix();h.material.uniforms.uvTransform.value.copy(d.matrix);if(m!==d||u!==d.version||p!==a.toneMapping)h.material.needsUpdate=!0,m=d,u=d.version,p=a.toneMapping;b.unshift(h,h.geometry,h.material,0,0,null)}}}}function wj(a,b,c,d){var e=d.isWebGL2,f;this.setMode=function(a){f=a};this.render=function(b,d){a.drawArrays(f,b,d);c.update(d,f)};this.renderInstances=function(d,h,l,m){if(0!==m){if(e){d=a;var g=&quot;drawArraysInstanced&quot;}else if(d=\n",
       "b.get(&quot;ANGLE_instanced_arrays&quot;),g=&quot;drawArraysInstancedANGLE&quot;,null===d){console.error(&quot;THREE.WebGLBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.&quot;);return}d[g](f,h,l,m);c.update(l,f,m)}}}function xj(a,b,c){function d(b){if(&quot;highp&quot;===b){if(0<a.getShaderPrecisionFormat(35633,36338).precision&&0<a.getShaderPrecisionFormat(35632,36338).precision)return&quot;highp&quot;;b=&quot;mediump&quot;}return&quot;mediump&quot;===b&&0<a.getShaderPrecisionFormat(35633,36337).precision&&\n",
       "0<a.getShaderPrecisionFormat(35632,36337).precision?&quot;mediump&quot;:&quot;lowp&quot;}var e,f=&quot;undefined&quot;!==typeof WebGL2RenderingContext&&a instanceof WebGL2RenderingContext||&quot;undefined&quot;!==typeof WebGL2ComputeRenderingContext&&a instanceof WebGL2ComputeRenderingContext,g=void 0!==c.precision?c.precision:&quot;highp&quot;,h=d(g);h!==g&&(console.warn(&quot;THREE.WebGLRenderer:&quot;,g,&quot;not supported, using&quot;,h,&quot;instead.&quot;),g=h);c=!0===c.logarithmicDepthBuffer;h=a.getParameter(34930);var l=a.getParameter(35660),m=a.getParameter(3379),u=\n",
       "a.getParameter(34076),p=a.getParameter(34921),k=a.getParameter(36347),r=a.getParameter(36348),q=a.getParameter(36349),v=0<l,n=f||!!b.get(&quot;OES_texture_float&quot;),w=v&&n,z=f?a.getParameter(36183):0;return{isWebGL2:f,getMaxAnisotropy:function(){if(void 0!==e)return e;var c=b.get(&quot;EXT_texture_filter_anisotropic&quot;);return e=null!==c?a.getParameter(c.MAX_TEXTURE_MAX_ANISOTROPY_EXT):0},getMaxPrecision:d,precision:g,logarithmicDepthBuffer:c,maxTextures:h,maxVertexTextures:l,maxTextureSize:m,maxCubemapSize:u,\n",
       "maxAttributes:p,maxVertexUniforms:k,maxVaryings:r,maxFragmentUniforms:q,vertexTextures:v,floatFragmentTextures:n,floatVertexTextures:w,maxSamples:z}}function yj(){function a(){m.value!==d&&(m.value=d,m.needsUpdate=0<e);c.numPlanes=e;c.numIntersection=0}function b(a,b,d,e){var f=null!==a?a.length:0,g=null;if(0!==f){g=m.value;if(!0!==e||null===g){e=d+4*f;b=b.matrixWorldInverse;l.getNormalMatrix(b);if(null===g||g.length<e)g=new Float32Array(e);for(e=0;e!==f;++e,d+=4)h.copy(a[e]).applyMatrix4(b,l),h.normal.toArray(g,\n",
       "d),g[d+3]=h.constant}m.value=g;m.needsUpdate=!0}c.numPlanes=f;c.numIntersection=0;return g}var c=this,d=null,e=0,f=!1,g=!1,h=new Ta,l=new wa,m={value:null,needsUpdate:!1};this.uniform=m;this.numIntersection=this.numPlanes=0;this.init=function(a,c,g){var h=0!==a.length||c||0!==e||f;f=c;d=b(a,g,0);e=a.length;return h};this.beginShadows=function(){g=!0;b(null)};this.endShadows=function(){g=!1;a()};this.setState=function(c,h,l,k,q,v){if(!f||null===c||0===c.length||g&&!l)g?b(null):a();else{l=g?0:e;var p=\n",
       "4*l,u=q.clippingState||null;m.value=u;u=b(c,k,p,v);for(c=0;c!==p;++c)u[c]=d[c];q.clippingState=u;this.numIntersection=h?this.numPlanes:0;this.numPlanes+=l}}}function zj(a){var b={};return{get:function(c){if(void 0!==b[c])return b[c];switch(c){case &quot;WEBGL_depth_texture&quot;:var d=a.getExtension(&quot;WEBGL_depth_texture&quot;)||a.getExtension(&quot;MOZ_WEBGL_depth_texture&quot;)||a.getExtension(&quot;WEBKIT_WEBGL_depth_texture&quot;);break;case &quot;EXT_texture_filter_anisotropic&quot;:d=a.getExtension(&quot;EXT_texture_filter_anisotropic&quot;)||a.getExtension(&quot;MOZ_EXT_texture_filter_anisotropic&quot;)||\n",
       "a.getExtension(&quot;WEBKIT_EXT_texture_filter_anisotropic&quot;);break;case &quot;WEBGL_compressed_texture_s3tc&quot;:d=a.getExtension(&quot;WEBGL_compressed_texture_s3tc&quot;)||a.getExtension(&quot;MOZ_WEBGL_compressed_texture_s3tc&quot;)||a.getExtension(&quot;WEBKIT_WEBGL_compressed_texture_s3tc&quot;);break;case &quot;WEBGL_compressed_texture_pvrtc&quot;:d=a.getExtension(&quot;WEBGL_compressed_texture_pvrtc&quot;)||a.getExtension(&quot;WEBKIT_WEBGL_compressed_texture_pvrtc&quot;);break;default:d=a.getExtension(c)}null===d&&console.warn(&quot;THREE.WebGLRenderer: &quot;+c+&quot; extension not supported.&quot;);\n",
       "return b[c]=d}}}function Aj(a,b,c){function d(a){var e=a.target;a=f.get(e);null!==a.index&&b.remove(a.index);for(var h in a.attributes)b.remove(a.attributes[h]);e.removeEventListener(&quot;dispose&quot;,d);f.delete(e);if(h=g.get(a))b.remove(h),g.delete(a);c.memory.geometries--}function e(a){var c=[],d=a.index,e=a.attributes.position;if(null!==d){var f=d.array;d=d.version;e=0;for(var h=f.length;e<h;e+=3){var k=f[e+0],q=f[e+1],v=f[e+2];c.push(k,q,q,v,v,k)}}else for(f=e.array,d=e.version,e=0,h=f.length/3-1;e<\n",
       "h;e+=3)k=e+0,q=e+1,v=e+2,c.push(k,q,q,v,v,k);c=new (65535<yh(c)?Xb:Wb)(c,1);c.version=d;b.update(c,34963);(f=g.get(a))&&b.remove(f);g.set(a,c)}var f=new WeakMap,g=new WeakMap;return{get:function(a,b){var e=f.get(b);if(e)return e;b.addEventListener(&quot;dispose&quot;,d);b.isBufferGeometry?e=b:b.isGeometry&&(void 0===b._bufferGeometry&&(b._bufferGeometry=(new C).setFromObject(a)),e=b._bufferGeometry);f.set(b,e);c.memory.geometries++;return e},update:function(a){var c=a.index,d=a.attributes;null!==c&&b.update(c,\n",
       "34963);for(var e in d)b.update(d[e],34962);a=a.morphAttributes;for(e in a){c=a[e];d=0;for(var f=c.length;d<f;d++)b.update(c[d],34962)}},getWireframeAttribute:function(a){var b=g.get(a);if(b){var c=a.index;null!==c&&b.version<c.version&&e(a)}else e(a);return g.get(a)}}}function Bj(a,b,c,d){var e=d.isWebGL2,f,g,h;this.setMode=function(a){f=a};this.setIndex=function(a){g=a.type;h=a.bytesPerElement};this.render=function(b,d){a.drawElements(f,d,g,b*h);c.update(d,f)};this.renderInstances=function(d,m,u,\n",
       "p){if(0!==p){if(e){d=a;var l=&quot;drawElementsInstanced&quot;}else if(d=b.get(&quot;ANGLE_instanced_arrays&quot;),l=&quot;drawElementsInstancedANGLE&quot;,null===d){console.error(&quot;THREE.WebGLIndexedBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.&quot;);return}d[l](f,u,g,m*h,p);c.update(u,f,p)}}}function Cj(a){var b={frame:0,calls:0,triangles:0,points:0,lines:0};return{memory:{geometries:0,textures:0},render:b,programs:null,autoReset:!0,reset:function(){b.frame++;\n",
       "b.calls=0;b.triangles=0;b.points=0;b.lines=0},update:function(a,d,e){e=e||1;b.calls++;switch(d){case 4:b.triangles+=a/3*e;break;case 1:b.lines+=a/2*e;break;case 3:b.lines+=e*(a-1);break;case 2:b.lines+=e*a;break;case 0:b.points+=e*a;break;default:console.error(&quot;THREE.WebGLInfo: Unknown draw mode:&quot;,d)}}}}function Dj(a,b){return Math.abs(b[1])-Math.abs(a[1])}function Ej(a){var b={},c=new Float32Array(8);return{update:function(d,e,f,g){var h=d.morphTargetInfluences,l=void 0===h?0:h.length;d=b[e.id];\n",
       "if(void 0===d){d=[];for(var m=0;m<l;m++)d[m]=[m,0];b[e.id]=d}var u=f.morphTargets&&e.morphAttributes.position;f=f.morphNormals&&e.morphAttributes.normal;for(m=0;m<l;m++){var p=d[m];0!==p[1]&&(u&&e.deleteAttribute(&quot;morphTarget&quot;+m),f&&e.deleteAttribute(&quot;morphNormal&quot;+m))}for(m=0;m<l;m++)p=d[m],p[0]=m,p[1]=h[m];d.sort(Dj);for(m=h=0;8>m;m++){if(p=d[m])if(l=p[0],p=p[1]){u&&e.setAttribute(&quot;morphTarget&quot;+m,u[l]);f&&e.setAttribute(&quot;morphNormal&quot;+m,f[l]);c[m]=p;h+=p;continue}c[m]=0}e=e.morphTargetsRelative?1:\n",
       "1-h;g.getUniforms().setValue(a,&quot;morphTargetBaseInfluence&quot;,e);g.getUniforms().setValue(a,&quot;morphTargetInfluences&quot;,c)}}}function Fj(a,b,c,d){var e=new WeakMap;return{update:function(a){var f=d.render.frame,h=a.geometry,l=b.get(a,h);e.get(l)!==f&&(h.isGeometry&&l.updateFromObject(a),b.update(l),e.set(l,f));a.isInstancedMesh&&c.update(a.instanceMatrix,34962);return l},dispose:function(){e=new WeakMap}}}function qb(a,b,c,d,e,f,g,h,l,m){a=void 0!==a?a:[];V.call(this,a,void 0!==b?b:301,c,d,e,f,void 0!==g?\n",
       "g:1022,h,l,m);this.flipY=!1}function Ic(a,b,c,d){V.call(this,null);this.image={data:a||null,width:b||1,height:c||1,depth:d||1};this.minFilter=this.magFilter=1003;this.wrapR=1001;this.flipY=this.generateMipmaps=!1;this.needsUpdate=!0}function Jc(a,b,c,d){V.call(this,null);this.image={data:a||null,width:b||1,height:c||1,depth:d||1};this.minFilter=this.magFilter=1003;this.wrapR=1001;this.flipY=this.generateMipmaps=!1;this.needsUpdate=!0}function Kc(a,b,c){var d=a[0];if(0>=d||0<d)return a;var e=b*c,f=\n",
       "Bh[e];void 0===f&&(f=new Float32Array(e),Bh[e]=f);if(0!==b)for(d.toArray(f,0),d=1,e=0;d!==b;++d)e+=c,a[d].toArray(f,e);return f}function Pa(a,b){if(a.length!==b.length)return!1;for(var c=0,d=a.length;c<d;c++)if(a[c]!==b[c])return!1;return!0}function Ia(a,b){for(var c=0,d=b.length;c<d;c++)a[c]=b[c]}function Ch(a,b){var c=Dh[b];void 0===c&&(c=new Int32Array(b),Dh[b]=c);for(var d=0;d!==b;++d)c[d]=a.allocateTextureUnit();return c}function Gj(a,b){var c=this.cache;c[0]!==b&&(a.uniform1f(this.addr,b),c[0]=\n",
       "b)}function Hj(a,b){var c=this.cache;if(void 0!==b.x){if(c[0]!==b.x||c[1]!==b.y)a.uniform2f(this.addr,b.x,b.y),c[0]=b.x,c[1]=b.y}else Pa(c,b)||(a.uniform2fv(this.addr,b),Ia(c,b))}function Ij(a,b){var c=this.cache;if(void 0!==b.x){if(c[0]!==b.x||c[1]!==b.y||c[2]!==b.z)a.uniform3f(this.addr,b.x,b.y,b.z),c[0]=b.x,c[1]=b.y,c[2]=b.z}else if(void 0!==b.r){if(c[0]!==b.r||c[1]!==b.g||c[2]!==b.b)a.uniform3f(this.addr,b.r,b.g,b.b),c[0]=b.r,c[1]=b.g,c[2]=b.b}else Pa(c,b)||(a.uniform3fv(this.addr,b),Ia(c,b))}\n",
       "function Jj(a,b){var c=this.cache;if(void 0!==b.x){if(c[0]!==b.x||c[1]!==b.y||c[2]!==b.z||c[3]!==b.w)a.uniform4f(this.addr,b.x,b.y,b.z,b.w),c[0]=b.x,c[1]=b.y,c[2]=b.z,c[3]=b.w}else Pa(c,b)||(a.uniform4fv(this.addr,b),Ia(c,b))}function Kj(a,b){var c=this.cache,d=b.elements;void 0===d?Pa(c,b)||(a.uniformMatrix2fv(this.addr,!1,b),Ia(c,b)):Pa(c,d)||(Eh.set(d),a.uniformMatrix2fv(this.addr,!1,Eh),Ia(c,d))}function Lj(a,b){var c=this.cache,d=b.elements;void 0===d?Pa(c,b)||(a.uniformMatrix3fv(this.addr,!1,\n",
       "b),Ia(c,b)):Pa(c,d)||(Fh.set(d),a.uniformMatrix3fv(this.addr,!1,Fh),Ia(c,d))}function Mj(a,b){var c=this.cache,d=b.elements;void 0===d?Pa(c,b)||(a.uniformMatrix4fv(this.addr,!1,b),Ia(c,b)):Pa(c,d)||(Gh.set(d),a.uniformMatrix4fv(this.addr,!1,Gh),Ia(c,d))}function Nj(a,b,c){var d=this.cache,e=c.allocateTextureUnit();d[0]!==e&&(a.uniform1i(this.addr,e),d[0]=e);c.safeSetTexture2D(b||Hh,e)}function Oj(a,b,c){var d=this.cache,e=c.allocateTextureUnit();d[0]!==e&&(a.uniform1i(this.addr,e),d[0]=e);c.setTexture2DArray(b||\n",
       "Pj,e)}function Qj(a,b,c){var d=this.cache,e=c.allocateTextureUnit();d[0]!==e&&(a.uniform1i(this.addr,e),d[0]=e);c.setTexture3D(b||Rj,e)}function Sj(a,b,c){var d=this.cache,e=c.allocateTextureUnit();d[0]!==e&&(a.uniform1i(this.addr,e),d[0]=e);c.safeSetTextureCube(b||Ih,e)}function Tj(a,b){var c=this.cache;c[0]!==b&&(a.uniform1i(this.addr,b),c[0]=b)}function Uj(a,b){var c=this.cache;Pa(c,b)||(a.uniform2iv(this.addr,b),Ia(c,b))}function Vj(a,b){var c=this.cache;Pa(c,b)||(a.uniform3iv(this.addr,b),Ia(c,\n",
       "b))}function Wj(a,b){var c=this.cache;Pa(c,b)||(a.uniform4iv(this.addr,b),Ia(c,b))}function Xj(a,b){var c=this.cache;c[0]!==b&&(a.uniform1ui(this.addr,b),c[0]=b)}function Yj(a){switch(a){case 5126:return Gj;case 35664:return Hj;case 35665:return Ij;case 35666:return Jj;case 35674:return Kj;case 35675:return Lj;case 35676:return Mj;case 5124:case 35670:return Tj;case 35667:case 35671:return Uj;case 35668:case 35672:return Vj;case 35669:case 35673:return Wj;case 5125:return Xj;case 35678:case 36198:case 36298:case 36306:case 35682:return Nj;\n",
       "case 35679:case 36299:case 36307:return Qj;case 35680:case 36300:case 36308:case 36293:return Sj;case 36289:case 36303:case 36311:case 36292:return Oj}}function Zj(a,b){a.uniform1fv(this.addr,b)}function ak(a,b){a.uniform1iv(this.addr,b)}function bk(a,b){a.uniform2iv(this.addr,b)}function ck(a,b){a.uniform3iv(this.addr,b)}function dk(a,b){a.uniform4iv(this.addr,b)}function ek(a,b){b=Kc(b,this.size,2);a.uniform2fv(this.addr,b)}function fk(a,b){b=Kc(b,this.size,3);a.uniform3fv(this.addr,b)}function gk(a,\n",
       "b){b=Kc(b,this.size,4);a.uniform4fv(this.addr,b)}function hk(a,b){b=Kc(b,this.size,4);a.uniformMatrix2fv(this.addr,!1,b)}function ik(a,b){b=Kc(b,this.size,9);a.uniformMatrix3fv(this.addr,!1,b)}function jk(a,b){b=Kc(b,this.size,16);a.uniformMatrix4fv(this.addr,!1,b)}function kk(a,b,c){var d=b.length,e=Ch(c,d);a.uniform1iv(this.addr,e);for(a=0;a!==d;++a)c.safeSetTexture2D(b[a]||Hh,e[a])}function lk(a,b,c){var d=b.length,e=Ch(c,d);a.uniform1iv(this.addr,e);for(a=0;a!==d;++a)c.safeSetTextureCube(b[a]||\n",
       "Ih,e[a])}function mk(a){switch(a){case 5126:return Zj;case 35664:return ek;case 35665:return fk;case 35666:return gk;case 35674:return hk;case 35675:return ik;case 35676:return jk;case 5124:case 35670:return ak;case 35667:case 35671:return bk;case 35668:case 35672:return ck;case 35669:case 35673:return dk;case 35678:case 36198:case 36298:case 36306:case 35682:return kk;case 35680:case 36300:case 36308:case 36293:return lk}}function nk(a,b,c){this.id=a;this.addr=c;this.cache=[];this.setValue=Yj(b.type)}\n",
       "function Jh(a,b,c){this.id=a;this.addr=c;this.cache=[];this.size=b.size;this.setValue=mk(b.type)}function Kh(a){this.id=a;this.seq=[];this.map={}}function Eb(a,b){this.seq=[];this.map={};for(var c=a.getProgramParameter(b,35718),d=0;d<c;++d){var e=a.getActiveUniform(b,d),f=a.getUniformLocation(b,e.name),g=this,h=e.name,l=h.length;for(gg.lastIndex=0;;){var m=gg.exec(h),u=gg.lastIndex,p=m[1],k=m[3];&quot;]&quot;===m[2]&&(p|=0);if(void 0===k||&quot;[&quot;===k&&u+2===l){h=g;e=void 0===k?new nk(p,e,f):new Jh(p,e,f);h.seq.push(e);\n",
       "h.map[e.id]=e;break}else k=g.map[p],void 0===k&&(k=new Kh(p),p=g,g=k,p.seq.push(g),p.map[g.id]=g),g=k}}}function Lh(a,b,c){b=a.createShader(b);a.shaderSource(b,c);a.compileShader(b);return b}function Mh(a){switch(a){case 3E3:return[&quot;Linear&quot;,&quot;( value )&quot;];case 3001:return[&quot;sRGB&quot;,&quot;( value )&quot;];case 3002:return[&quot;RGBE&quot;,&quot;( value )&quot;];case 3004:return[&quot;RGBM&quot;,&quot;( value, 7.0 )&quot;];case 3005:return[&quot;RGBM&quot;,&quot;( value, 16.0 )&quot;];case 3006:return[&quot;RGBD&quot;,&quot;( value, 256.0 )&quot;];case 3007:return[&quot;Gamma&quot;,&quot;( value, float( GAMMA_FACTOR ) )&quot;];\n",
       "case 3003:return[&quot;LogLuv&quot;,&quot;( value )&quot;];default:throw Error(&quot;unsupported encoding: &quot;+a);}}function Nh(a,b,c){var d=a.getShaderParameter(b,35713),e=a.getShaderInfoLog(b).trim();if(d&&&quot;&quot;===e)return&quot;&quot;;a=a.getShaderSource(b).split(&quot;\\n&quot;);for(b=0;b<a.length;b++)a[b]=b+1+&quot;: &quot;+a[b];a=a.join(&quot;\\n&quot;);return&quot;THREE.WebGLShader: gl.getShaderInfoLog() &quot;+c+&quot;\\n&quot;+e+a}function Kd(a,b){b=Mh(b);return&quot;vec4 &quot;+a+&quot;( vec4 value ) { return &quot;+b[0]+&quot;ToLinear&quot;+b[1]+&quot;; }&quot;}function ok(a,b){b=Mh(b);return&quot;vec4 &quot;+a+&quot;( vec4 value ) { return LinearTo&quot;+\n",
       "b[0]+b[1]+&quot;; }&quot;}function pk(a,b){switch(b){case 1:b=&quot;Linear&quot;;break;case 2:b=&quot;Reinhard&quot;;break;case 3:b=&quot;Uncharted2&quot;;break;case 4:b=&quot;OptimizedCineon&quot;;break;case 5:b=&quot;ACESFilmic&quot;;break;default:throw Error(&quot;unsupported toneMapping: &quot;+b);}return&quot;vec3 &quot;+a+&quot;( vec3 color ) { return &quot;+b+&quot;ToneMapping( color ); }&quot;}function qk(a){var b=[],c;for(c in a){var d=a[c];!1!==d&&b.push(&quot;#define &quot;+c+&quot; &quot;+d)}return b.join(&quot;\\n&quot;)}function Ld(a){return&quot;&quot;!==a}function Oh(a,b){return a.replace(/NUM_DIR_LIGHTS/g,b.numDirLights).replace(/NUM_SPOT_LIGHTS/g,\n",
       "b.numSpotLights).replace(/NUM_RECT_AREA_LIGHTS/g,b.numRectAreaLights).replace(/NUM_POINT_LIGHTS/g,b.numPointLights).replace(/NUM_HEMI_LIGHTS/g,b.numHemiLights).replace(/NUM_DIR_LIGHT_SHADOWS/g,b.numDirLightShadows).replace(/NUM_SPOT_LIGHT_SHADOWS/g,b.numSpotLightShadows).replace(/NUM_POINT_LIGHT_SHADOWS/g,b.numPointLightShadows)}function Ph(a,b){return a.replace(/NUM_CLIPPING_PLANES/g,b.numClippingPlanes).replace(/UNION_CLIPPING_PLANES/g,b.numClippingPlanes-b.numClipIntersection)}function hg(a,b){a=\n",
       "O[b];if(void 0===a)throw Error(&quot;Can not resolve #include <&quot;+b+&quot;>&quot;);return a.replace(ig,hg)}function Qh(a,b,c,d){console.warn(&quot;WebGLProgram: #pragma unroll_loop shader syntax is deprecated. Please use #pragma unroll_loop_start syntax instead.&quot;);return jg(a,b,c,d)}function jg(a,b,c,d){a=&quot;&quot;;for(b=parseInt(b);b<parseInt(c);b++)a+=d.replace(/\\[ i \\]/g,&quot;[ &quot;+b+&quot; ]&quot;).replace(/UNROLLED_LOOP_INDEX/g,b);return a}function Rh(a){var b=&quot;precision &quot;+a.precision+&quot; float;\\nprecision &quot;+a.precision+&quot; int;&quot;;&quot;highp&quot;===\n",
       "a.precision?b+=&quot;\\n#define HIGH_PRECISION&quot;:&quot;mediump&quot;===a.precision?b+=&quot;\\n#define MEDIUM_PRECISION&quot;:&quot;lowp&quot;===a.precision&&(b+=&quot;\\n#define LOW_PRECISION&quot;);return b}function rk(a){var b=&quot;SHADOWMAP_TYPE_BASIC&quot;;1===a.shadowMapType?b=&quot;SHADOWMAP_TYPE_PCF&quot;:2===a.shadowMapType?b=&quot;SHADOWMAP_TYPE_PCF_SOFT&quot;:3===a.shadowMapType&&(b=&quot;SHADOWMAP_TYPE_VSM&quot;);return b}function sk(a){var b=&quot;ENVMAP_TYPE_CUBE&quot;;if(a.envMap)switch(a.envMapMode){case 301:case 302:b=&quot;ENVMAP_TYPE_CUBE&quot;;break;case 306:case 307:b=&quot;ENVMAP_TYPE_CUBE_UV&quot;;\n",
       "break;case 303:case 304:b=&quot;ENVMAP_TYPE_EQUIREC&quot;;break;case 305:b=&quot;ENVMAP_TYPE_SPHERE&quot;}return b}function tk(a){var b=&quot;ENVMAP_MODE_REFLECTION&quot;;if(a.envMap)switch(a.envMapMode){case 302:case 304:b=&quot;ENVMAP_MODE_REFRACTION&quot;}return b}function uk(a){var b=&quot;ENVMAP_BLENDING_NONE&quot;;if(a.envMap)switch(a.combine){case 0:b=&quot;ENVMAP_BLENDING_MULTIPLY&quot;;break;case 1:b=&quot;ENVMAP_BLENDING_MIX&quot;;break;case 2:b=&quot;ENVMAP_BLENDING_ADD&quot;}return b}function vk(a,b,c){var d=a.getContext(),e=c.defines,f=c.vertexShader,g=c.fragmentShader,\n",
       "h=rk(c),l=sk(c),m=tk(c),u=uk(c),p=0<a.gammaFactor?a.gammaFactor:1,k=c.isWebGL2?&quot;&quot;:[c.extensionDerivatives||c.envMapCubeUV||c.bumpMap||c.tangentSpaceNormalMap||c.clearcoatNormalMap||c.flatShading||&quot;physical&quot;===c.shaderID?&quot;#extension GL_OES_standard_derivatives : enable&quot;:&quot;&quot;,(c.extensionFragDepth||c.logarithmicDepthBuffer)&&c.rendererExtensionFragDepth?&quot;#extension GL_EXT_frag_depth : enable&quot;:&quot;&quot;,c.extensionDrawBuffers&&c.rendererExtensionDrawBuffers?&quot;#extension GL_EXT_draw_buffers : require&quot;:&quot;&quot;,(c.extensionShaderTextureLOD||\n",
       "c.envMap)&&c.rendererExtensionShaderTextureLod?&quot;#extension GL_EXT_shader_texture_lod : enable&quot;:&quot;&quot;].filter(Ld).join(&quot;\\n&quot;),r=qk(e),q=d.createProgram();c.isRawShaderMaterial?(e=[r].filter(Ld).join(&quot;\\n&quot;),0<e.length&&(e+=&quot;\\n&quot;),h=[k,r].filter(Ld).join(&quot;\\n&quot;),0<h.length&&(h+=&quot;\\n&quot;)):(e=[Rh(c),&quot;#define SHADER_NAME &quot;+c.shaderName,r,c.instancing?&quot;#define USE_INSTANCING&quot;:&quot;&quot;,c.supportsVertexTextures?&quot;#define VERTEX_TEXTURES&quot;:&quot;&quot;,&quot;#define GAMMA_FACTOR &quot;+p,&quot;#define MAX_BONES &quot;+c.maxBones,c.useFog&&c.fog?&quot;#define USE_FOG&quot;:\n",
       "&quot;&quot;,c.useFog&&c.fogExp2?&quot;#define FOG_EXP2&quot;:&quot;&quot;,c.map?&quot;#define USE_MAP&quot;:&quot;&quot;,c.envMap?&quot;#define USE_ENVMAP&quot;:&quot;&quot;,c.envMap?&quot;#define &quot;+m:&quot;&quot;,c.lightMap?&quot;#define USE_LIGHTMAP&quot;:&quot;&quot;,c.aoMap?&quot;#define USE_AOMAP&quot;:&quot;&quot;,c.emissiveMap?&quot;#define USE_EMISSIVEMAP&quot;:&quot;&quot;,c.bumpMap?&quot;#define USE_BUMPMAP&quot;:&quot;&quot;,c.normalMap?&quot;#define USE_NORMALMAP&quot;:&quot;&quot;,c.normalMap&&c.objectSpaceNormalMap?&quot;#define OBJECTSPACE_NORMALMAP&quot;:&quot;&quot;,c.normalMap&&c.tangentSpaceNormalMap?&quot;#define TANGENTSPACE_NORMALMAP&quot;:&quot;&quot;,c.clearcoatMap?&quot;#define USE_CLEARCOATMAP&quot;:\n",
       "&quot;&quot;,c.clearcoatRoughnessMap?&quot;#define USE_CLEARCOAT_ROUGHNESSMAP&quot;:&quot;&quot;,c.clearcoatNormalMap?&quot;#define USE_CLEARCOAT_NORMALMAP&quot;:&quot;&quot;,c.displacementMap&&c.supportsVertexTextures?&quot;#define USE_DISPLACEMENTMAP&quot;:&quot;&quot;,c.specularMap?&quot;#define USE_SPECULARMAP&quot;:&quot;&quot;,c.roughnessMap?&quot;#define USE_ROUGHNESSMAP&quot;:&quot;&quot;,c.metalnessMap?&quot;#define USE_METALNESSMAP&quot;:&quot;&quot;,c.alphaMap?&quot;#define USE_ALPHAMAP&quot;:&quot;&quot;,c.vertexTangents?&quot;#define USE_TANGENT&quot;:&quot;&quot;,c.vertexColors?&quot;#define USE_COLOR&quot;:&quot;&quot;,c.vertexUvs?&quot;#define USE_UV&quot;:&quot;&quot;,c.uvsVertexOnly?&quot;#define UVS_VERTEX_ONLY&quot;:\n",
       "&quot;&quot;,c.flatShading?&quot;#define FLAT_SHADED&quot;:&quot;&quot;,c.skinning?&quot;#define USE_SKINNING&quot;:&quot;&quot;,c.useVertexTexture?&quot;#define BONE_TEXTURE&quot;:&quot;&quot;,c.morphTargets?&quot;#define USE_MORPHTARGETS&quot;:&quot;&quot;,c.morphNormals&&!1===c.flatShading?&quot;#define USE_MORPHNORMALS&quot;:&quot;&quot;,c.doubleSided?&quot;#define DOUBLE_SIDED&quot;:&quot;&quot;,c.flipSided?&quot;#define FLIP_SIDED&quot;:&quot;&quot;,c.shadowMapEnabled?&quot;#define USE_SHADOWMAP&quot;:&quot;&quot;,c.shadowMapEnabled?&quot;#define &quot;+h:&quot;&quot;,c.sizeAttenuation?&quot;#define USE_SIZEATTENUATION&quot;:&quot;&quot;,c.logarithmicDepthBuffer?&quot;#define USE_LOGDEPTHBUF&quot;:&quot;&quot;,c.logarithmicDepthBuffer&&\n",
       "c.rendererExtensionFragDepth?&quot;#define USE_LOGDEPTHBUF_EXT&quot;:&quot;&quot;,&quot;uniform mat4 modelMatrix;&quot;,&quot;uniform mat4 modelViewMatrix;&quot;,&quot;uniform mat4 projectionMatrix;&quot;,&quot;uniform mat4 viewMatrix;&quot;,&quot;uniform mat3 normalMatrix;&quot;,&quot;uniform vec3 cameraPosition;&quot;,&quot;uniform bool isOrthographic;&quot;,&quot;#ifdef USE_INSTANCING&quot;,&quot; attribute mat4 instanceMatrix;&quot;,&quot;#endif&quot;,&quot;attribute vec3 position;&quot;,&quot;attribute vec3 normal;&quot;,&quot;attribute vec2 uv;&quot;,&quot;#ifdef USE_TANGENT&quot;,&quot;\\tattribute vec4 tangent;&quot;,&quot;#endif&quot;,&quot;#ifdef USE_COLOR&quot;,&quot;\\tattribute vec3 color;&quot;,\n",
       "&quot;#endif&quot;,&quot;#ifdef USE_MORPHTARGETS&quot;,&quot;\\tattribute vec3 morphTarget0;&quot;,&quot;\\tattribute vec3 morphTarget1;&quot;,&quot;\\tattribute vec3 morphTarget2;&quot;,&quot;\\tattribute vec3 morphTarget3;&quot;,&quot;\\t#ifdef USE_MORPHNORMALS&quot;,&quot;\\t\\tattribute vec3 morphNormal0;&quot;,&quot;\\t\\tattribute vec3 morphNormal1;&quot;,&quot;\\t\\tattribute vec3 morphNormal2;&quot;,&quot;\\t\\tattribute vec3 morphNormal3;&quot;,&quot;\\t#else&quot;,&quot;\\t\\tattribute vec3 morphTarget4;&quot;,&quot;\\t\\tattribute vec3 morphTarget5;&quot;,&quot;\\t\\tattribute vec3 morphTarget6;&quot;,&quot;\\t\\tattribute vec3 morphTarget7;&quot;,&quot;\\t#endif&quot;,&quot;#endif&quot;,\n",
       "&quot;#ifdef USE_SKINNING&quot;,&quot;\\tattribute vec4 skinIndex;&quot;,&quot;\\tattribute vec4 skinWeight;&quot;,&quot;#endif&quot;,&quot;\\n&quot;].filter(Ld).join(&quot;\\n&quot;),h=[k,Rh(c),&quot;#define SHADER_NAME &quot;+c.shaderName,r,c.alphaTest?&quot;#define ALPHATEST &quot;+c.alphaTest+(c.alphaTest%1?&quot;&quot;:&quot;.0&quot;):&quot;&quot;,&quot;#define GAMMA_FACTOR &quot;+p,c.useFog&&c.fog?&quot;#define USE_FOG&quot;:&quot;&quot;,c.useFog&&c.fogExp2?&quot;#define FOG_EXP2&quot;:&quot;&quot;,c.map?&quot;#define USE_MAP&quot;:&quot;&quot;,c.matcap?&quot;#define USE_MATCAP&quot;:&quot;&quot;,c.envMap?&quot;#define USE_ENVMAP&quot;:&quot;&quot;,c.envMap?&quot;#define &quot;+l:&quot;&quot;,c.envMap?&quot;#define &quot;+m:&quot;&quot;,c.envMap?&quot;#define &quot;+\n",
       "u:&quot;&quot;,c.lightMap?&quot;#define USE_LIGHTMAP&quot;:&quot;&quot;,c.aoMap?&quot;#define USE_AOMAP&quot;:&quot;&quot;,c.emissiveMap?&quot;#define USE_EMISSIVEMAP&quot;:&quot;&quot;,c.bumpMap?&quot;#define USE_BUMPMAP&quot;:&quot;&quot;,c.normalMap?&quot;#define USE_NORMALMAP&quot;:&quot;&quot;,c.normalMap&&c.objectSpaceNormalMap?&quot;#define OBJECTSPACE_NORMALMAP&quot;:&quot;&quot;,c.normalMap&&c.tangentSpaceNormalMap?&quot;#define TANGENTSPACE_NORMALMAP&quot;:&quot;&quot;,c.clearcoatMap?&quot;#define USE_CLEARCOATMAP&quot;:&quot;&quot;,c.clearcoatRoughnessMap?&quot;#define USE_CLEARCOAT_ROUGHNESSMAP&quot;:&quot;&quot;,c.clearcoatNormalMap?&quot;#define USE_CLEARCOAT_NORMALMAP&quot;:&quot;&quot;,\n",
       "c.specularMap?&quot;#define USE_SPECULARMAP&quot;:&quot;&quot;,c.roughnessMap?&quot;#define USE_ROUGHNESSMAP&quot;:&quot;&quot;,c.metalnessMap?&quot;#define USE_METALNESSMAP&quot;:&quot;&quot;,c.alphaMap?&quot;#define USE_ALPHAMAP&quot;:&quot;&quot;,c.sheen?&quot;#define USE_SHEEN&quot;:&quot;&quot;,c.vertexTangents?&quot;#define USE_TANGENT&quot;:&quot;&quot;,c.vertexColors?&quot;#define USE_COLOR&quot;:&quot;&quot;,c.vertexUvs?&quot;#define USE_UV&quot;:&quot;&quot;,c.uvsVertexOnly?&quot;#define UVS_VERTEX_ONLY&quot;:&quot;&quot;,c.gradientMap?&quot;#define USE_GRADIENTMAP&quot;:&quot;&quot;,c.flatShading?&quot;#define FLAT_SHADED&quot;:&quot;&quot;,c.doubleSided?&quot;#define DOUBLE_SIDED&quot;:&quot;&quot;,c.flipSided?&quot;#define FLIP_SIDED&quot;:\n",
       "&quot;&quot;,c.shadowMapEnabled?&quot;#define USE_SHADOWMAP&quot;:&quot;&quot;,c.shadowMapEnabled?&quot;#define &quot;+h:&quot;&quot;,c.premultipliedAlpha?&quot;#define PREMULTIPLIED_ALPHA&quot;:&quot;&quot;,c.physicallyCorrectLights?&quot;#define PHYSICALLY_CORRECT_LIGHTS&quot;:&quot;&quot;,c.logarithmicDepthBuffer?&quot;#define USE_LOGDEPTHBUF&quot;:&quot;&quot;,c.logarithmicDepthBuffer&&c.rendererExtensionFragDepth?&quot;#define USE_LOGDEPTHBUF_EXT&quot;:&quot;&quot;,(c.extensionShaderTextureLOD||c.envMap)&&c.rendererExtensionShaderTextureLod?&quot;#define TEXTURE_LOD_EXT&quot;:&quot;&quot;,&quot;uniform mat4 viewMatrix;&quot;,&quot;uniform vec3 cameraPosition;&quot;,\n",
       "&quot;uniform bool isOrthographic;&quot;,0!==c.toneMapping?&quot;#define TONE_MAPPING&quot;:&quot;&quot;,0!==c.toneMapping?O.tonemapping_pars_fragment:&quot;&quot;,0!==c.toneMapping?pk(&quot;toneMapping&quot;,c.toneMapping):&quot;&quot;,c.dithering?&quot;#define DITHERING&quot;:&quot;&quot;,c.outputEncoding||c.mapEncoding||c.matcapEncoding||c.envMapEncoding||c.emissiveMapEncoding||c.lightMapEncoding?O.encodings_pars_fragment:&quot;&quot;,c.mapEncoding?Kd(&quot;mapTexelToLinear&quot;,c.mapEncoding):&quot;&quot;,c.matcapEncoding?Kd(&quot;matcapTexelToLinear&quot;,c.matcapEncoding):&quot;&quot;,c.envMapEncoding?Kd(&quot;envMapTexelToLinear&quot;,\n",
       "c.envMapEncoding):&quot;&quot;,c.emissiveMapEncoding?Kd(&quot;emissiveMapTexelToLinear&quot;,c.emissiveMapEncoding):&quot;&quot;,c.lightMapEncoding?Kd(&quot;lightMapTexelToLinear&quot;,c.lightMapEncoding):&quot;&quot;,c.outputEncoding?ok(&quot;linearToOutputTexel&quot;,c.outputEncoding):&quot;&quot;,c.depthPacking?&quot;#define DEPTH_PACKING &quot;+c.depthPacking:&quot;&quot;,&quot;\\n&quot;].filter(Ld).join(&quot;\\n&quot;));f=f.replace(ig,hg);f=Oh(f,c);f=Ph(f,c);g=g.replace(ig,hg);g=Oh(g,c);g=Ph(g,c);f=f.replace(Sh,jg).replace(Th,Qh);g=g.replace(Sh,jg).replace(Th,Qh);c.isWebGL2&&!c.isRawShaderMaterial&&(l=\n",
       "!1,m=/^\\s*#version\\s+300\\s+es\\s*\\n/,c.isShaderMaterial&&null!==f.match(m)&&null!==g.match(m)&&(l=!0,f=f.replace(m,&quot;&quot;),g=g.replace(m,&quot;&quot;)),e=&quot;#version 300 es\\n\\n#define attribute in\\n#define varying out\\n#define texture2D texture\\n&quot;+e,h=[&quot;#version 300 es\\n\\n#define varying in&quot;,l?&quot;&quot;:&quot;out highp vec4 pc_fragColor;&quot;,l?&quot;&quot;:&quot;#define gl_FragColor pc_fragColor&quot;,&quot;#define gl_FragDepthEXT gl_FragDepth\\n#define texture2D texture\\n#define textureCube texture\\n#define texture2DProj textureProj\\n#define texture2DLodEXT textureLod\\n#define texture2DProjLodEXT textureProjLod\\n#define textureCubeLodEXT textureLod\\n#define texture2DGradEXT textureGrad\\n#define texture2DProjGradEXT textureProjGrad\\n#define textureCubeGradEXT textureGrad&quot;].join(&quot;\\n&quot;)+\n",
       "&quot;\\n&quot;+h);g=h+g;f=Lh(d,35633,e+f);g=Lh(d,35632,g);d.attachShader(q,f);d.attachShader(q,g);void 0!==c.index0AttributeName?d.bindAttribLocation(q,0,c.index0AttributeName):!0===c.morphTargets&&d.bindAttribLocation(q,0,&quot;position&quot;);d.linkProgram(q);if(a.debug.checkShaderErrors){a=d.getProgramInfoLog(q).trim();l=d.getShaderInfoLog(f).trim();m=d.getShaderInfoLog(g).trim();p=u=!0;if(!1===d.getProgramParameter(q,35714))u=!1,k=Nh(d,f,&quot;vertex&quot;),r=Nh(d,g,&quot;fragment&quot;),console.error(&quot;THREE.WebGLProgram: shader error: &quot;,\n",
       "d.getError(),&quot;35715&quot;,d.getProgramParameter(q,35715),&quot;gl.getProgramInfoLog&quot;,a,k,r);else if(&quot;&quot;!==a)console.warn(&quot;THREE.WebGLProgram: gl.getProgramInfoLog()&quot;,a);else if(&quot;&quot;===l||&quot;&quot;===m)p=!1;p&&(this.diagnostics={runnable:u,programLog:a,vertexShader:{log:l,prefix:e},fragmentShader:{log:m,prefix:h}})}d.detachShader(q,f);d.detachShader(q,g);d.deleteShader(f);d.deleteShader(g);var v;this.getUniforms=function(){void 0===v&&(v=new Eb(d,q));return v};var n;this.getAttributes=function(){if(void 0===n){for(var a=\n",
       "{},b=d.getProgramParameter(q,35721),c=0;c<b;c++){var e=d.getActiveAttrib(q,c).name;a[e]=d.getAttribLocation(q,e)}n=a}return n};this.destroy=function(){d.deleteProgram(q);this.program=void 0};this.name=c.shaderName;this.id=wk++;this.cacheKey=b;this.usedTimes=1;this.program=q;this.vertexShader=f;this.fragmentShader=g;return this}function xk(a,b,c){function d(a){if(a)a.isTexture?b=a.encoding:a.isWebGLRenderTarget&&(console.warn(&quot;THREE.WebGLPrograms.getTextureEncodingFromMap: don't use render targets as textures. Use their .texture property instead.&quot;),\n",
       "b=a.texture.encoding);else var b=3E3;return b}var e=[],f=c.isWebGL2,g=c.logarithmicDepthBuffer,h=c.floatVertexTextures,l=c.precision,m=c.maxVertexUniforms,u=c.vertexTextures,p={MeshDepthMaterial:&quot;depth&quot;,MeshDistanceMaterial:&quot;distanceRGBA&quot;,MeshNormalMaterial:&quot;normal&quot;,MeshBasicMaterial:&quot;basic&quot;,MeshLambertMaterial:&quot;lambert&quot;,MeshPhongMaterial:&quot;phong&quot;,MeshToonMaterial:&quot;toon&quot;,MeshStandardMaterial:&quot;physical&quot;,MeshPhysicalMaterial:&quot;physical&quot;,MeshMatcapMaterial:&quot;matcap&quot;,LineBasicMaterial:&quot;basic&quot;,LineDashedMaterial:&quot;dashed&quot;,\n",
       "PointsMaterial:&quot;points&quot;,ShadowMaterial:&quot;shadow&quot;,SpriteMaterial:&quot;sprite&quot;},k=&quot;precision isWebGL2 supportsVertexTextures outputEncoding instancing map mapEncoding matcap matcapEncoding envMap envMapMode envMapEncoding envMapCubeUV lightMap lightMapEncoding aoMap emissiveMap emissiveMapEncoding bumpMap normalMap objectSpaceNormalMap tangentSpaceNormalMap clearcoatMap clearcoatRoughnessMap clearcoatNormalMap displacementMap specularMap roughnessMap metalnessMap gradientMap alphaMap combine vertexColors vertexTangents vertexUvs uvsVertexOnly fog useFog fogExp2 flatShading sizeAttenuation logarithmicDepthBuffer skinning maxBones useVertexTexture morphTargets morphNormals maxMorphTargets maxMorphNormals premultipliedAlpha numDirLights numPointLights numSpotLights numHemiLights numRectAreaLights numDirLightShadows numPointLightShadows numSpotLightShadows shadowMapEnabled shadowMapType toneMapping physicallyCorrectLights alphaTest doubleSided flipSided numClippingPlanes numClipIntersection depthPacking dithering sheen&quot;.split(&quot; &quot;);\n",
       "this.getParameters=function(e,k,x,n,w,z,ha){var q=n.fog;n=e.isMeshStandardMaterial?n.environment:null;n=e.envMap||n;var r=p[e.type];if(ha.isSkinnedMesh){var v=ha.skeleton.bones;if(h)v=1024;else{var E=Math.min(Math.floor((m-20)/4),v.length);E<v.length?(console.warn(&quot;THREE.WebGLRenderer: Skeleton has &quot;+v.length+&quot; bones. This GPU supports &quot;+E+&quot;.&quot;),v=0):v=E}}else v=0;null!==e.precision&&(l=c.getMaxPrecision(e.precision),l!==e.precision&&console.warn(&quot;THREE.WebGLProgram.getParameters:&quot;,e.precision,&quot;not supported, using&quot;,\n",
       "l,&quot;instead.&quot;));r?(E=eb[r],E={name:e.type,uniforms:Uh.clone(E.uniforms),vertexShader:E.vertexShader,fragmentShader:E.fragmentShader}):E={name:e.type,uniforms:e.uniforms,vertexShader:e.vertexShader,fragmentShader:e.fragmentShader};e.onBeforeCompile(E,a);var ia=a.getRenderTarget();return{isWebGL2:f,shaderID:r,shaderName:E.name,uniforms:E.uniforms,vertexShader:E.vertexShader,fragmentShader:E.fragmentShader,defines:e.defines,isRawShaderMaterial:e.isRawShaderMaterial,isShaderMaterial:e.isShaderMaterial,\n",
       "precision:l,instancing:!0===ha.isInstancedMesh,supportsVertexTextures:u,outputEncoding:null!==ia?d(ia.texture):a.outputEncoding,map:!!e.map,mapEncoding:d(e.map),matcap:!!e.matcap,matcapEncoding:d(e.matcap),envMap:!!n,envMapMode:n&&n.mapping,envMapEncoding:d(n),envMapCubeUV:!!n&&(306===n.mapping||307===n.mapping),lightMap:!!e.lightMap,lightMapEncoding:d(e.lightMap),aoMap:!!e.aoMap,emissiveMap:!!e.emissiveMap,emissiveMapEncoding:d(e.emissiveMap),bumpMap:!!e.bumpMap,normalMap:!!e.normalMap,objectSpaceNormalMap:1===\n",
       "e.normalMapType,tangentSpaceNormalMap:0===e.normalMapType,clearcoatMap:!!e.clearcoatMap,clearcoatRoughnessMap:!!e.clearcoatRoughnessMap,clearcoatNormalMap:!!e.clearcoatNormalMap,displacementMap:!!e.displacementMap,roughnessMap:!!e.roughnessMap,metalnessMap:!!e.metalnessMap,specularMap:!!e.specularMap,alphaMap:!!e.alphaMap,gradientMap:!!e.gradientMap,sheen:!!e.sheen,combine:e.combine,vertexTangents:e.normalMap&&e.vertexTangents,vertexColors:e.vertexColors,vertexUvs:!!e.map||!!e.bumpMap||!!e.normalMap||\n",
       "!!e.specularMap||!!e.alphaMap||!!e.emissiveMap||!!e.roughnessMap||!!e.metalnessMap||!!e.clearcoatMap||!!e.clearcoatRoughnessMap||!!e.clearcoatNormalMap||!!e.displacementMap,uvsVertexOnly:!(e.map||e.bumpMap||e.normalMap||e.specularMap||e.alphaMap||e.emissiveMap||e.roughnessMap||e.metalnessMap||e.clearcoatNormalMap)&&!!e.displacementMap,fog:!!q,useFog:e.fog,fogExp2:q&&q.isFogExp2,flatShading:e.flatShading,sizeAttenuation:e.sizeAttenuation,logarithmicDepthBuffer:g,skinning:e.skinning&&0<v,maxBones:v,\n",
       "useVertexTexture:h,morphTargets:e.morphTargets,morphNormals:e.morphNormals,maxMorphTargets:a.maxMorphTargets,maxMorphNormals:a.maxMorphNormals,numDirLights:k.directional.length,numPointLights:k.point.length,numSpotLights:k.spot.length,numRectAreaLights:k.rectArea.length,numHemiLights:k.hemi.length,numDirLightShadows:k.directionalShadowMap.length,numPointLightShadows:k.pointShadowMap.length,numSpotLightShadows:k.spotShadowMap.length,numClippingPlanes:w,numClipIntersection:z,dithering:e.dithering,shadowMapEnabled:a.shadowMap.enabled&&\n",
       "0<x.length,shadowMapType:a.shadowMap.type,toneMapping:e.toneMapped?a.toneMapping:0,physicallyCorrectLights:a.physicallyCorrectLights,premultipliedAlpha:e.premultipliedAlpha,alphaTest:e.alphaTest,doubleSided:2===e.side,flipSided:1===e.side,depthPacking:void 0!==e.depthPacking?e.depthPacking:!1,index0AttributeName:e.index0AttributeName,extensionDerivatives:e.extensions&&e.extensions.derivatives,extensionFragDepth:e.extensions&&e.extensions.fragDepth,extensionDrawBuffers:e.extensions&&e.extensions.drawBuffers,\n",
       "extensionShaderTextureLOD:e.extensions&&e.extensions.shaderTextureLOD,rendererExtensionFragDepth:f||null!==b.get(&quot;EXT_frag_depth&quot;),rendererExtensionDrawBuffers:f||null!==b.get(&quot;WEBGL_draw_buffers&quot;),rendererExtensionShaderTextureLod:f||null!==b.get(&quot;EXT_shader_texture_lod&quot;),onBeforeCompile:e.onBeforeCompile}};this.getProgramCacheKey=function(b){var c=[];b.shaderID?c.push(b.shaderID):(c.push(b.fragmentShader),c.push(b.vertexShader));if(void 0!==b.defines)for(var d in b.defines)c.push(d),c.push(b.defines[d]);\n",
       "if(void 0===b.isRawShaderMaterial){for(d=0;d<k.length;d++)c.push(b[k[d]]);c.push(a.outputEncoding);c.push(a.gammaFactor)}c.push(b.onBeforeCompile.toString());return c.join()};this.acquireProgram=function(b,c){for(var d,f=0,g=e.length;f<g;f++){var h=e[f];if(h.cacheKey===c){d=h;++d.usedTimes;break}}void 0===d&&(d=new vk(a,c,b),e.push(d));return d};this.releaseProgram=function(a){if(0===--a.usedTimes){var b=e.indexOf(a);e[b]=e[e.length-1];e.pop();a.destroy()}};this.programs=e}function yk(){var a=new WeakMap;\n",
       "return{get:function(b){var c=a.get(b);void 0===c&&(c={},a.set(b,c));return c},remove:function(b){a.delete(b)},update:function(b,c,d){a.get(b)[c]=d},dispose:function(){a=new WeakMap}}}function zk(a,b){return a.groupOrder!==b.groupOrder?a.groupOrder-b.groupOrder:a.renderOrder!==b.renderOrder?a.renderOrder-b.renderOrder:a.program!==b.program?a.program.id-b.program.id:a.material.id!==b.material.id?a.material.id-b.material.id:a.z!==b.z?a.z-b.z:a.id-b.id}function Ak(a,b){return a.groupOrder!==b.groupOrder?\n",
       "a.groupOrder-b.groupOrder:a.renderOrder!==b.renderOrder?a.renderOrder-b.renderOrder:a.z!==b.z?b.z-a.z:a.id-b.id}function Vh(){function a(a,d,e,m,k,p){var g=b[c];void 0===g?(g={id:a.id,object:a,geometry:d,material:e,program:e.program||f,groupOrder:m,renderOrder:a.renderOrder,z:k,group:p},b[c]=g):(g.id=a.id,g.object=a,g.geometry=d,g.material=e,g.program=e.program||f,g.groupOrder=m,g.renderOrder=a.renderOrder,g.z=k,g.group=p);c++;return g}var b=[],c=0,d=[],e=[],f={id:-1};return{opaque:d,transparent:e,\n",
       "init:function(){c=0;d.length=0;e.length=0},push:function(b,c,f,m,k,p){b=a(b,c,f,m,k,p);(!0===f.transparent?e:d).push(b)},unshift:function(b,c,f,m,k,p){b=a(b,c,f,m,k,p);(!0===f.transparent?e:d).unshift(b)},finish:function(){for(var a=c,d=b.length;a<d;a++){var e=b[a];if(null===e.id)break;e.id=null;e.object=null;e.geometry=null;e.material=null;e.program=null;e.group=null}},sort:function(a,b){1<d.length&&d.sort(a||zk);1<e.length&&e.sort(b||Ak)}}}function Bk(){function a(c){c=c.target;c.removeEventListener(&quot;dispose&quot;,\n",
       "a);b.delete(c)}var b=new WeakMap;return{get:function(c,d){var e=b.get(c);if(void 0===e){var f=new Vh;b.set(c,new WeakMap);b.get(c).set(d,f);c.addEventListener(&quot;dispose&quot;,a)}else f=e.get(d),void 0===f&&(f=new Vh,e.set(d,f));return f},dispose:function(){b=new WeakMap}}}function Ck(){var a={};return{get:function(b){if(void 0!==a[b.id])return a[b.id];switch(b.type){case &quot;DirectionalLight&quot;:var c={direction:new n,color:new A};break;case &quot;SpotLight&quot;:c={position:new n,direction:new n,color:new A,distance:0,\n",
       "coneCos:0,penumbraCos:0,decay:0};break;case &quot;PointLight&quot;:c={position:new n,color:new A,distance:0,decay:0};break;case &quot;HemisphereLight&quot;:c={direction:new n,skyColor:new A,groundColor:new A};break;case &quot;RectAreaLight&quot;:c={color:new A,position:new n,halfWidth:new n,halfHeight:new n}}return a[b.id]=c}}}function Dk(){var a={};return{get:function(b){if(void 0!==a[b.id])return a[b.id];switch(b.type){case &quot;DirectionalLight&quot;:var c={shadowBias:0,shadowRadius:1,shadowMapSize:new t};break;case &quot;SpotLight&quot;:c={shadowBias:0,\n",
       "shadowRadius:1,shadowMapSize:new t};break;case &quot;PointLight&quot;:c={shadowBias:0,shadowRadius:1,shadowMapSize:new t,shadowCameraNear:1,shadowCameraFar:1E3}}return a[b.id]=c}}}function Ek(a,b){return(b.castShadow?1:0)-(a.castShadow?1:0)}function Fk(){for(var a=new Ck,b=Dk(),c={version:0,hash:{directionalLength:-1,pointLength:-1,spotLength:-1,rectAreaLength:-1,hemiLength:-1,numDirectionalShadows:-1,numPointShadows:-1,numSpotShadows:-1},ambient:[0,0,0],probe:[],directional:[],directionalShadow:[],directionalShadowMap:[],\n",
       "directionalShadowMatrix:[],spot:[],spotShadow:[],spotShadowMap:[],spotShadowMatrix:[],rectArea:[],point:[],pointShadow:[],pointShadowMap:[],pointShadowMatrix:[],hemi:[]},d=0;9>d;d++)c.probe.push(new n);var e=new n,f=new P,g=new P;return{setup:function(d,l,m){for(var h=0,p=0,k=0,r=0;9>r;r++)c.probe[r].set(0,0,0);var q=l=0,v=0,n=0,w=0,z=0,ha=0,U=0;m=m.matrixWorldInverse;d.sort(Ek);r=0;for(var ca=d.length;r<ca;r++){var B=d[r],t=B.color,ia=B.intensity,Ca=B.distance,Ja=B.shadow&&B.shadow.map?B.shadow.map.texture:\n",
       "null;if(B.isAmbientLight)h+=t.r*ia,p+=t.g*ia,k+=t.b*ia;else if(B.isLightProbe)for(Ja=0;9>Ja;Ja++)c.probe[Ja].addScaledVector(B.sh.coefficients[Ja],ia);else if(B.isDirectionalLight){var H=a.get(B);H.color.copy(B.color).multiplyScalar(B.intensity);H.direction.setFromMatrixPosition(B.matrixWorld);e.setFromMatrixPosition(B.target.matrixWorld);H.direction.sub(e);H.direction.transformDirection(m);B.castShadow&&(ia=B.shadow,t=b.get(B),t.shadowBias=ia.bias,t.shadowRadius=ia.radius,t.shadowMapSize=ia.mapSize,\n",
       "c.directionalShadow[l]=t,c.directionalShadowMap[l]=Ja,c.directionalShadowMatrix[l]=B.shadow.matrix,z++);c.directional[l]=H;l++}else B.isSpotLight?(H=a.get(B),H.position.setFromMatrixPosition(B.matrixWorld),H.position.applyMatrix4(m),H.color.copy(t).multiplyScalar(ia),H.distance=Ca,H.direction.setFromMatrixPosition(B.matrixWorld),e.setFromMatrixPosition(B.target.matrixWorld),H.direction.sub(e),H.direction.transformDirection(m),H.coneCos=Math.cos(B.angle),H.penumbraCos=Math.cos(B.angle*(1-B.penumbra)),\n",
       "H.decay=B.decay,B.castShadow&&(ia=B.shadow,t=b.get(B),t.shadowBias=ia.bias,t.shadowRadius=ia.radius,t.shadowMapSize=ia.mapSize,c.spotShadow[v]=t,c.spotShadowMap[v]=Ja,c.spotShadowMatrix[v]=B.shadow.matrix,U++),c.spot[v]=H,v++):B.isRectAreaLight?(H=a.get(B),H.color.copy(t).multiplyScalar(ia),H.position.setFromMatrixPosition(B.matrixWorld),H.position.applyMatrix4(m),g.identity(),f.copy(B.matrixWorld),f.premultiply(m),g.extractRotation(f),H.halfWidth.set(.5*B.width,0,0),H.halfHeight.set(0,.5*B.height,\n",
       "0),H.halfWidth.applyMatrix4(g),H.halfHeight.applyMatrix4(g),c.rectArea[n]=H,n++):B.isPointLight?(H=a.get(B),H.position.setFromMatrixPosition(B.matrixWorld),H.position.applyMatrix4(m),H.color.copy(B.color).multiplyScalar(B.intensity),H.distance=B.distance,H.decay=B.decay,B.castShadow&&(ia=B.shadow,t=b.get(B),t.shadowBias=ia.bias,t.shadowRadius=ia.radius,t.shadowMapSize=ia.mapSize,t.shadowCameraNear=ia.camera.near,t.shadowCameraFar=ia.camera.far,c.pointShadow[q]=t,c.pointShadowMap[q]=Ja,c.pointShadowMatrix[q]=\n",
       "B.shadow.matrix,ha++),c.point[q]=H,q++):B.isHemisphereLight&&(H=a.get(B),H.direction.setFromMatrixPosition(B.matrixWorld),H.direction.transformDirection(m),H.direction.normalize(),H.skyColor.copy(B.color).multiplyScalar(ia),H.groundColor.copy(B.groundColor).multiplyScalar(ia),c.hemi[w]=H,w++)}c.ambient[0]=h;c.ambient[1]=p;c.ambient[2]=k;d=c.hash;if(d.directionalLength!==l||d.pointLength!==q||d.spotLength!==v||d.rectAreaLength!==n||d.hemiLength!==w||d.numDirectionalShadows!==z||d.numPointShadows!==\n",
       "ha||d.numSpotShadows!==U)c.directional.length=l,c.spot.length=v,c.rectArea.length=n,c.point.length=q,c.hemi.length=w,c.directionalShadow.length=z,c.directionalShadowMap.length=z,c.pointShadow.length=ha,c.pointShadowMap.length=ha,c.spotShadow.length=U,c.spotShadowMap.length=U,c.directionalShadowMatrix.length=z,c.pointShadowMatrix.length=ha,c.spotShadowMatrix.length=U,d.directionalLength=l,d.pointLength=q,d.spotLength=v,d.rectAreaLength=n,d.hemiLength=w,d.numDirectionalShadows=z,d.numPointShadows=ha,\n",
       "d.numSpotShadows=U,c.version=Gk++},state:c}}function Wh(){var a=new Fk,b=[],c=[];return{init:function(){b.length=0;c.length=0},state:{lightsArray:b,shadowsArray:c,lights:a},setupLights:function(d){a.setup(b,c,d)},pushLight:function(a){b.push(a)},pushShadow:function(a){c.push(a)}}}function Hk(){function a(c){c=c.target;c.removeEventListener(&quot;dispose&quot;,a);b.delete(c)}var b=new WeakMap;return{get:function(c,d){if(!1===b.has(c)){var e=new Wh;b.set(c,new WeakMap);b.get(c).set(d,e);c.addEventListener(&quot;dispose&quot;,\n",
       "a)}else!1===b.get(c).has(d)?(e=new Wh,b.get(c).set(d,e)):e=b.get(c).get(d);return e},dispose:function(){b=new WeakMap}}}function Fb(a){K.call(this);this.type=&quot;MeshDepthMaterial&quot;;this.depthPacking=3200;this.morphTargets=this.skinning=!1;this.displacementMap=this.alphaMap=this.map=null;this.displacementScale=1;this.displacementBias=0;this.wireframe=!1;this.wireframeLinewidth=1;this.fog=!1;this.setValues(a)}function Gb(a){K.call(this);this.type=&quot;MeshDistanceMaterial&quot;;this.referencePosition=new n;this.nearDistance=\n",
       "1;this.farDistance=1E3;this.morphTargets=this.skinning=!1;this.displacementMap=this.alphaMap=this.map=null;this.displacementScale=1;this.displacementBias=0;this.fog=!1;this.setValues(a)}function Xh(a,b,c){function d(a,b,c){c=a<<0|b<<1|c<<2;var d=p[c];void 0===d&&(d=new Fb({depthPacking:3201,morphTargets:a,skinning:b}),p[c]=d);return d}function e(a,b,c){c=a<<0|b<<1|c<<2;var d=x[c];void 0===d&&(d=new Gb({morphTargets:a,skinning:b}),x[c]=d);return d}function f(b,c,f,g,h,l){var m=b.geometry,p=d,k=b.customDepthMaterial;\n",
       "!0===f.isPointLight&&(p=e,k=b.customDistanceMaterial);void 0===k?(k=!1,!0===c.morphTargets&&(!0===m.isBufferGeometry?k=m.morphAttributes&&m.morphAttributes.position&&0<m.morphAttributes.position.length:!0===m.isGeometry&&(k=m.morphTargets&&0<m.morphTargets.length)),m=!1,!0===b.isSkinnedMesh&&(!0===c.skinning?m=!0:console.warn(&quot;THREE.WebGLShadowMap: THREE.SkinnedMesh with material.skinning set to false:&quot;,b)),b=p(k,m,!0===b.isInstancedMesh)):b=k;a.localClippingEnabled&&!0===c.clipShadows&&0!==c.clippingPlanes.length&&\n",
       "(k=b.uuid,p=c.uuid,m=r[k],void 0===m&&(m={},r[k]=m),k=m[p],void 0===k&&(k=b.clone(),m[p]=k),b=k);b.visible=c.visible;b.wireframe=c.wireframe;b.side=3===l?null!==c.shadowSide?c.shadowSide:c.side:null!==c.shadowSide?c.shadowSide:q[c.side];b.clipShadows=c.clipShadows;b.clippingPlanes=c.clippingPlanes;b.clipIntersection=c.clipIntersection;b.wireframeLinewidth=c.wireframeLinewidth;b.linewidth=c.linewidth;!0===f.isPointLight&&!0===b.isMeshDistanceMaterial&&(b.referencePosition.setFromMatrixPosition(f.matrixWorld),\n",
       "b.nearDistance=g,b.farDistance=h);return b}function g(c,d,e,l,m){if(!1!==c.visible){if(c.layers.test(d.layers)&&(c.isMesh||c.isLine||c.isPoints)&&(c.castShadow||c.receiveShadow&&3===m)&&(!c.frustumCulled||h.intersectsObject(c))){c.modelViewMatrix.multiplyMatrices(e.matrixWorldInverse,c.matrixWorld);var p=b.update(c),k=c.material;if(Array.isArray(k))for(var u=p.groups,x=0,q=u.length;x<q;x++){var r=u[x],v=k[r.materialIndex];v&&v.visible&&(v=f(c,v,l,e.near,e.far,m),a.renderBufferDirect(e,null,p,v,c,\n",
       "r))}else k.visible&&(v=f(c,k,l,e.near,e.far,m),a.renderBufferDirect(e,null,p,v,c,null))}c=c.children;p=0;for(k=c.length;p<k;p++)g(c[p],d,e,l,m)}}var h=new Hc,l=new t,m=new t,k=new ka,p=[],x=[],r={},q={0:1,1:0,2:2},v=new Ba({defines:{SAMPLE_RATE:.25,HALF_SAMPLE_RATE:.125},uniforms:{shadow_pass:{value:null},resolution:{value:new t},radius:{value:4}},vertexShader:&quot;void main() {\\n\\tgl_Position = vec4( position, 1.0 );\\n}&quot;,fragmentShader:&quot;uniform sampler2D shadow_pass;\\nuniform vec2 resolution;\\nuniform float radius;\\n#include <packing>\\nvoid main() {\\n  float mean = 0.0;\\n  float squared_mean = 0.0;\\n\\tfloat depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy  ) / resolution ) );\\n  for ( float i = -1.0; i < 1.0 ; i += SAMPLE_RATE) {\\n    #ifdef HORIZONAL_PASS\\n      vec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( i, 0.0 ) * radius ) / resolution ) );\\n      mean += distribution.x;\\n      squared_mean += distribution.y * distribution.y + distribution.x * distribution.x;\\n    #else\\n      float depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0,  i )  * radius ) / resolution ) );\\n      mean += depth;\\n      squared_mean += depth * depth;\\n    #endif\\n  }\\n  mean = mean * HALF_SAMPLE_RATE;\\n  squared_mean = squared_mean * HALF_SAMPLE_RATE;\\n  float std_dev = sqrt( squared_mean - mean * mean );\\n  gl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) );\\n}&quot;}),\n",
       "n=v.clone();n.defines.HORIZONAL_PASS=1;var w=new C;w.setAttribute(&quot;position&quot;,new M(new Float32Array([-1,-1,.5,3,-1,.5,-1,3,.5]),3));var z=new S(w,v),ha=this;this.enabled=!1;this.autoUpdate=!0;this.needsUpdate=!1;this.type=1;this.render=function(d,e,f){if(!1!==ha.enabled&&(!1!==ha.autoUpdate||!1!==ha.needsUpdate)&&0!==d.length){var p=a.getRenderTarget(),u=a.getActiveCubeFace(),x=a.getActiveMipmapLevel(),q=a.state;q.setBlending(0);q.buffers.color.setClear(1,1,1,1);q.buffers.depth.setTest(!0);q.setScissorTest(!1);\n",
       "for(var r=0,E=d.length;r<E;r++){var w=d[r],B=w.shadow;if(void 0===B)console.warn(&quot;THREE.WebGLShadowMap:&quot;,w,&quot;has no shadow.&quot;);else{l.copy(B.mapSize);var t=B.getFrameExtents();l.multiply(t);m.copy(B.mapSize);if(l.x>c||l.y>c)console.warn(&quot;THREE.WebGLShadowMap:&quot;,w,&quot;has shadow exceeding max texture size, reducing&quot;),l.x>c&&(m.x=Math.floor(c/t.x),l.x=m.x*t.x,B.mapSize.x=m.x),l.y>c&&(m.y=Math.floor(c/t.y),l.y=m.y*t.y,B.mapSize.y=m.y);null!==B.map||B.isPointLightShadow||3!==this.type||(t={minFilter:1006,magFilter:1006,\n",
       "format:1023},B.map=new Ha(l.x,l.y,t),B.map.texture.name=w.name+&quot;.shadowMap&quot;,B.mapPass=new Ha(l.x,l.y,t),B.camera.updateProjectionMatrix());null===B.map&&(t={minFilter:1003,magFilter:1003,format:1023},B.map=new Ha(l.x,l.y,t),B.map.texture.name=w.name+&quot;.shadowMap&quot;,B.camera.updateProjectionMatrix());a.setRenderTarget(B.map);a.clear();t=B.getViewportCount();for(var ca=0;ca<t;ca++){var U=B.getViewport(ca);k.set(m.x*U.x,m.y*U.y,m.x*U.z,m.y*U.w);q.viewport(k);B.updateMatrices(w,ca);h=B.getFrustum();g(e,\n",
       "f,B.camera,w,this.type)}B.isPointLightShadow||3!==this.type||(w=B,B=f,t=b.update(z),v.uniforms.shadow_pass.value=w.map.texture,v.uniforms.resolution.value=w.mapSize,v.uniforms.radius.value=w.radius,a.setRenderTarget(w.mapPass),a.clear(),a.renderBufferDirect(B,null,t,v,z,null),n.uniforms.shadow_pass.value=w.mapPass.texture,n.uniforms.resolution.value=w.mapSize,n.uniforms.radius.value=w.radius,a.setRenderTarget(w.map),a.clear(),a.renderBufferDirect(B,null,t,n,z,null))}}ha.needsUpdate=!1;a.setRenderTarget(p,\n",
       "u,x)}}}function Ik(a,b,c){function d(b,c,d){var e=new Uint8Array(4),f=a.createTexture();a.bindTexture(b,f);a.texParameteri(b,10241,9728);a.texParameteri(b,10240,9728);for(b=0;b<d;b++)a.texImage2D(c+b,0,6408,1,1,0,6408,5121,e);return f}function e(c,d){n[c]=1;0===w[c]&&(a.enableVertexAttribArray(c),w[c]=1);z[c]!==d&&((x?a:b.get(&quot;ANGLE_instanced_arrays&quot;))[x?&quot;vertexAttribDivisor&quot;:&quot;vertexAttribDivisorANGLE&quot;](c,d),z[c]=d)}function f(b){!0!==t[b]&&(a.enable(b),t[b]=!0)}function g(b){!1!==t[b]&&(a.disable(b),\n",
       "t[b]=!1)}function h(b,c,d,e,h,l,m,p){if(0===b)ca&&(g(3042),ca=!1);else if(ca||(f(3042),ca=!0),5!==b){if(b!==B||p!==F){if(100!==y||100!==Ja)a.blendEquation(32774),Ja=y=100;if(p)switch(b){case 1:a.blendFuncSeparate(1,771,1,771);break;case 2:a.blendFunc(1,1);break;case 3:a.blendFuncSeparate(0,0,769,771);break;case 4:a.blendFuncSeparate(0,768,0,770);break;default:console.error(&quot;THREE.WebGLState: Invalid blending: &quot;,b)}else switch(b){case 1:a.blendFuncSeparate(770,771,1,771);break;case 2:a.blendFunc(770,\n",
       "1);break;case 3:a.blendFunc(0,769);break;case 4:a.blendFunc(0,768);break;default:console.error(&quot;THREE.WebGLState: Invalid blending: &quot;,b)}D=H=Ca=ia=null;B=b;F=p}}else{h=h||c;l=l||d;m=m||e;if(c!==y||h!==Ja)a.blendEquationSeparate(Lc[c],Lc[h]),y=c,Ja=h;if(d!==ia||e!==Ca||l!==H||m!==D)a.blendFuncSeparate(J[d],J[e],J[l],J[m]),ia=d,Ca=e,H=l,D=m;B=b;F=null}}function l(b){A!==b&&(b?a.frontFace(2304):a.frontFace(2305),A=b)}function m(b){0!==b?(f(2884),b!==C&&(1===b?a.cullFace(1029):2===b?a.cullFace(1028):\n",
       "a.cullFace(1032))):g(2884);C=b}function k(b,c,d){if(b){if(f(32823),K!==c||M!==d)a.polygonOffset(c,d),K=c,M=d}else g(32823)}function p(b){void 0===b&&(b=33984+fa-1);L!==b&&(a.activeTexture(b),L=b)}var x=c.isWebGL2,r=new function(){var b=!1,c=new ka,d=null,e=new ka(0,0,0,0);return{setMask:function(c){d===c||b||(a.colorMask(c,c,c,c),d=c)},setLocked:function(a){b=a},setClear:function(b,d,f,g,h){!0===h&&(b*=g,d*=g,f*=g);c.set(b,d,f,g);!1===e.equals(c)&&(a.clearColor(b,d,f,g),e.copy(c))},reset:function(){b=\n",
       "!1;d=null;e.set(-1,0,0,0)}}},q=new function(){var b=!1,c=null,d=null,e=null;return{setTest:function(a){a?f(2929):g(2929)},setMask:function(d){c===d||b||(a.depthMask(d),c=d)},setFunc:function(b){if(d!==b){if(b)switch(b){case 0:a.depthFunc(512);break;case 1:a.depthFunc(519);break;case 2:a.depthFunc(513);break;case 3:a.depthFunc(515);break;case 4:a.depthFunc(514);break;case 5:a.depthFunc(518);break;case 6:a.depthFunc(516);break;case 7:a.depthFunc(517);break;default:a.depthFunc(515)}else a.depthFunc(515);\n",
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       "b&&(a.clearStencil(b),k=b)},reset:function(){b=!1;k=p=m=l=h=e=d=c=null}}};c=a.getParameter(34921);var n=new Uint8Array(c),w=new Uint8Array(c),z=new Uint8Array(c),t={},U=null,ca=null,B=null,y=null,ia=null,Ca=null,Ja=null,H=null,D=null,F=!1,A=null,C=null,G=null,K=null,M=null,fa=a.getParameter(35661),N=!1;c=0;c=a.getParameter(7938);-1!==c.indexOf(&quot;WebGL&quot;)?(c=parseFloat(/^WebGL ([0-9])/.exec(c)[1]),N=1<=c):-1!==c.indexOf(&quot;OpenGL ES&quot;)&&(c=parseFloat(/^OpenGL ES ([0-9])/.exec(c)[1]),N=2<=c);var L=null,\n",
       "Nd={},Z=new ka,Yh=new ka,ng={};ng[3553]=d(3553,3553,1);ng[34067]=d(34067,34069,6);r.setClear(0,0,0,1);q.setClear(1);v.setClear(0);f(2929);q.setFunc(3);l(!1);m(1);f(2884);h(0);var Lc={100:32774,101:32778,102:32779};x?(Lc[103]=32775,Lc[104]=32776):(c=b.get(&quot;EXT_blend_minmax&quot;),null!==c&&(Lc[103]=c.MIN_EXT,Lc[104]=c.MAX_EXT));var J={200:0,201:1,202:768,204:770,210:776,208:774,206:772,203:769,205:771,209:775,207:773};return{buffers:{color:r,depth:q,stencil:v},initAttributes:function(){for(var a=0,b=n.length;a<\n",
       "b;a++)n[a]=0},enableAttribute:function(a){e(a,0)},enableAttributeAndDivisor:e,disableUnusedAttributes:function(){for(var b=0,c=w.length;b!==c;++b)w[b]!==n[b]&&(a.disableVertexAttribArray(b),w[b]=0)},enable:f,disable:g,useProgram:function(b){return U!==b?(a.useProgram(b),U=b,!0):!1},setBlending:h,setMaterial:function(a,b){2===a.side?g(2884):f(2884);var c=1===a.side;b&&(c=!c);l(c);1===a.blending&&!1===a.transparent?h(0):h(a.blending,a.blendEquation,a.blendSrc,a.blendDst,a.blendEquationAlpha,a.blendSrcAlpha,\n",
       "a.blendDstAlpha,a.premultipliedAlpha);q.setFunc(a.depthFunc);q.setTest(a.depthTest);q.setMask(a.depthWrite);r.setMask(a.colorWrite);b=a.stencilWrite;v.setTest(b);b&&(v.setMask(a.stencilWriteMask),v.setFunc(a.stencilFunc,a.stencilRef,a.stencilFuncMask),v.setOp(a.stencilFail,a.stencilZFail,a.stencilZPass));k(a.polygonOffset,a.polygonOffsetFactor,a.polygonOffsetUnits)},setFlipSided:l,setCullFace:m,setLineWidth:function(b){b!==G&&(N&&a.lineWidth(b),G=b)},setPolygonOffset:k,setScissorTest:function(a){a?\n",
       "f(3089):g(3089)},activeTexture:p,bindTexture:function(b,c){null===L&&p();var d=Nd[L];void 0===d&&(d={type:void 0,texture:void 0},Nd[L]=d);if(d.type!==b||d.texture!==c)a.bindTexture(b,c||ng[b]),d.type=b,d.texture=c},unbindTexture:function(){var b=Nd[L];void 0!==b&&void 0!==b.type&&(a.bindTexture(b.type,null),b.type=void 0,b.texture=void 0)},compressedTexImage2D:function(){try{a.compressedTexImage2D.apply(a,arguments)}catch(Q){console.error(&quot;THREE.WebGLState:&quot;,Q)}},texImage2D:function(){try{a.texImage2D.apply(a,\n",
       "arguments)}catch(Q){console.error(&quot;THREE.WebGLState:&quot;,Q)}},texImage3D:function(){try{a.texImage3D.apply(a,arguments)}catch(Q){console.error(&quot;THREE.WebGLState:&quot;,Q)}},scissor:function(b){!1===Z.equals(b)&&(a.scissor(b.x,b.y,b.z,b.w),Z.copy(b))},viewport:function(b){!1===Yh.equals(b)&&(a.viewport(b.x,b.y,b.z,b.w),Yh.copy(b))},reset:function(){for(var b=0;b<w.length;b++)1===w[b]&&(a.disableVertexAttribArray(b),w[b]=0);t={};L=null;Nd={};C=A=B=U=null;r.reset();q.reset();v.reset()}}}function Jk(a,b,c,d,\n",
       "e,f,g){function h(a,b){return K?new OffscreenCanvas(a,b):document.createElementNS(&quot;http://www.w3.org/1999/xhtml&quot;,&quot;canvas&quot;)}function l(a,b,c,d){var e=1;if(a.width>d||a.height>d)e=d/Math.max(a.width,a.height);if(1>e||!0===b){if(&quot;undefined&quot;!==typeof HTMLImageElement&&a instanceof HTMLImageElement||&quot;undefined&quot;!==typeof HTMLCanvasElement&&a instanceof HTMLCanvasElement||&quot;undefined&quot;!==typeof ImageBitmap&&a instanceof ImageBitmap)return d=b?L.floorPowerOfTwo:Math.floor,b=d(e*a.width),e=d(e*a.height),void 0===\n",
       "G&&(G=h(b,e)),c=c?h(b,e):G,c.width=b,c.height=e,c.getContext(&quot;2d&quot;).drawImage(a,0,0,b,e),console.warn(&quot;THREE.WebGLRenderer: Texture has been resized from (&quot;+a.width+&quot;x&quot;+a.height+&quot;) to (&quot;+b+&quot;x&quot;+e+&quot;).&quot;),c;&quot;data&quot;in a&&console.warn(&quot;THREE.WebGLRenderer: Image in DataTexture is too big (&quot;+a.width+&quot;x&quot;+a.height+&quot;).&quot;)}return a}function m(a){return L.isPowerOfTwo(a.width)&&L.isPowerOfTwo(a.height)}function k(a,b){return a.generateMipmaps&&b&&1003!==a.minFilter&&1006!==a.minFilter}function p(b,c,e,f){a.generateMipmap(b);\n",
       "d.get(c).__maxMipLevel=Math.log(Math.max(e,f))*Math.LOG2E}function x(c,d,e){if(!1===Ca)return d;if(null!==c){if(void 0!==a[c])return a[c];console.warn(&quot;THREE.WebGLRenderer: Attempt to use non-existing WebGL internal format '&quot;+c+&quot;'&quot;)}c=d;6403===d&&(5126===e&&(c=33326),5131===e&&(c=33325),5121===e&&(c=33321));6407===d&&(5126===e&&(c=34837),5131===e&&(c=34843),5121===e&&(c=32849));6408===d&&(5126===e&&(c=34836),5131===e&&(c=34842),5121===e&&(c=32856));33325!==c&&33326!==c&&34842!==c&&34836!==c||b.get(&quot;EXT_color_buffer_float&quot;);\n",
       "return c}function r(a){return 1003===a||1004===a||1005===a?9728:9729}function q(b){b=b.target;b.removeEventListener(&quot;dispose&quot;,q);var c=d.get(b);void 0!==c.__webglInit&&(a.deleteTexture(c.__webglTexture),d.remove(b));b.isVideoTexture&&C.delete(b);g.memory.textures--}function v(b){b=b.target;b.removeEventListener(&quot;dispose&quot;,v);var c=d.get(b),e=d.get(b.texture);if(b){void 0!==e.__webglTexture&&a.deleteTexture(e.__webglTexture);b.depthTexture&&b.depthTexture.dispose();if(b.isWebGLCubeRenderTarget)for(e=\n",
       "0;6>e;e++)a.deleteFramebuffer(c.__webglFramebuffer[e]),c.__webglDepthbuffer&&a.deleteRenderbuffer(c.__webglDepthbuffer[e]);else a.deleteFramebuffer(c.__webglFramebuffer),c.__webglDepthbuffer&&a.deleteRenderbuffer(c.__webglDepthbuffer),c.__webglMultisampledFramebuffer&&a.deleteFramebuffer(c.__webglMultisampledFramebuffer),c.__webglColorRenderbuffer&&a.deleteRenderbuffer(c.__webglColorRenderbuffer),c.__webglDepthRenderbuffer&&a.deleteRenderbuffer(c.__webglDepthRenderbuffer);d.remove(b.texture);d.remove(b)}g.memory.textures--}\n",
       "function n(a,b){var e=d.get(a);if(a.isVideoTexture){var f=g.render.frame;C.get(a)!==f&&(C.set(a,f),a.update())}if(0<a.version&&e.__version!==a.version)if(f=a.image,void 0===f)console.warn(&quot;THREE.WebGLRenderer: Texture marked for update but image is undefined&quot;);else if(!1===f.complete)console.warn(&quot;THREE.WebGLRenderer: Texture marked for update but image is incomplete&quot;);else{ca(e,a,b);return}c.activeTexture(33984+b);c.bindTexture(3553,e.__webglTexture)}function w(b,e){if(6===b.image.length){var g=\n",
       "d.get(b);if(0<b.version&&g.__version!==b.version){U(g,b);c.activeTexture(33984+e);c.bindTexture(34067,g.__webglTexture);a.pixelStorei(37440,b.flipY);var h=b&&(b.isCompressedTexture||b.image[0].isCompressedTexture);e=b.image[0]&&b.image[0].isDataTexture;for(var u=[],q=0;6>q;q++)u[q]=h||e?e?b.image[q].image:b.image[q]:l(b.image[q],!1,!0,H);var r=u[0],v=m(r)||Ca,n=f.convert(b.format),w=f.convert(b.type),E=x(b.internalFormat,n,w);t(34067,b,v);if(h){for(q=0;6>q;q++){var Z=u[q].mipmaps;for(h=0;h<Z.length;h++){var z=\n",
       "Z[h];1023!==b.format&&1022!==b.format?null!==n?c.compressedTexImage2D(34069+q,h,E,z.width,z.height,0,z.data):console.warn(&quot;THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .setTextureCube()&quot;):c.texImage2D(34069+q,h,E,z.width,z.height,0,n,w,z.data)}}g.__maxMipLevel=Z.length-1}else{Z=b.mipmaps;for(q=0;6>q;q++)if(e)for(c.texImage2D(34069+q,0,E,u[q].width,u[q].height,0,n,w,u[q].data),h=0;h<Z.length;h++)z=Z[h],z=z.image[q].image,c.texImage2D(34069+q,h+1,E,z.width,z.height,\n",
       "0,n,w,z.data);else for(c.texImage2D(34069+q,0,E,n,w,u[q]),h=0;h<Z.length;h++)z=Z[h],c.texImage2D(34069+q,h+1,E,n,w,z.image[q]);g.__maxMipLevel=Z.length}k(b,v)&&p(34067,b,r.width,r.height);g.__version=b.version;if(b.onUpdate)b.onUpdate(b)}else c.activeTexture(33984+e),c.bindTexture(34067,g.__webglTexture)}}function z(a,b){c.activeTexture(33984+b);c.bindTexture(34067,d.get(a).__webglTexture)}function t(c,f,g){g?(a.texParameteri(c,10242,N[f.wrapS]),a.texParameteri(c,10243,N[f.wrapT]),32879!==c&&35866!==\n",
       "c||a.texParameteri(c,32882,N[f.wrapR]),a.texParameteri(c,10240,fa[f.magFilter]),a.texParameteri(c,10241,fa[f.minFilter])):(a.texParameteri(c,10242,33071),a.texParameteri(c,10243,33071),32879!==c&&35866!==c||a.texParameteri(c,32882,33071),1001===f.wrapS&&1001===f.wrapT||console.warn(&quot;THREE.WebGLRenderer: Texture is not power of two. Texture.wrapS and Texture.wrapT should be set to THREE.ClampToEdgeWrapping.&quot;),a.texParameteri(c,10240,r(f.magFilter)),a.texParameteri(c,10241,r(f.minFilter)),1003!==f.minFilter&&\n",
       "1006!==f.minFilter&&console.warn(&quot;THREE.WebGLRenderer: Texture is not power of two. Texture.minFilter should be set to THREE.NearestFilter or THREE.LinearFilter.&quot;));!(g=b.get(&quot;EXT_texture_filter_anisotropic&quot;))||1015===f.type&&null===b.get(&quot;OES_texture_float_linear&quot;)||1016===f.type&&null===(Ca||b.get(&quot;OES_texture_half_float_linear&quot;))||!(1<f.anisotropy||d.get(f).__currentAnisotropy)||(a.texParameterf(c,g.TEXTURE_MAX_ANISOTROPY_EXT,Math.min(f.anisotropy,e.getMaxAnisotropy())),d.get(f).__currentAnisotropy=\n",
       "f.anisotropy)}function U(b,c){void 0===b.__webglInit&&(b.__webglInit=!0,c.addEventListener(&quot;dispose&quot;,q),b.__webglTexture=a.createTexture(),g.memory.textures++)}function ca(b,d,e){var g=3553;d.isDataTexture2DArray&&(g=35866);d.isDataTexture3D&&(g=32879);U(b,d);c.activeTexture(33984+e);c.bindTexture(g,b.__webglTexture);a.pixelStorei(37440,d.flipY);a.pixelStorei(37441,d.premultiplyAlpha);a.pixelStorei(3317,d.unpackAlignment);e=Ca?!1:1001!==d.wrapS||1001!==d.wrapT||1003!==d.minFilter&&1006!==d.minFilter;\n",
       "e=e&&!1===m(d.image);e=l(d.image,e,!1,F);var h=m(e)||Ca,u=f.convert(d.format),q=f.convert(d.type),r=x(d.internalFormat,u,q);t(g,d,h);var v=d.mipmaps;if(d.isDepthTexture)r=6402,Ca?r=1015===d.type?36012:1014===d.type?33190:1020===d.type?35056:33189:1015===d.type&&console.error(&quot;WebGLRenderer: Floating point depth texture requires WebGL2.&quot;),1026===d.format&&6402===r&&1012!==d.type&&1014!==d.type&&(console.warn(&quot;THREE.WebGLRenderer: Use UnsignedShortType or UnsignedIntType for DepthFormat DepthTexture.&quot;),\n",
       "d.type=1012,q=f.convert(d.type)),1027===d.format&&6402===r&&(r=34041,1020!==d.type&&(console.warn(&quot;THREE.WebGLRenderer: Use UnsignedInt248Type for DepthStencilFormat DepthTexture.&quot;),d.type=1020,q=f.convert(d.type))),c.texImage2D(3553,0,r,e.width,e.height,0,u,q,null);else if(d.isDataTexture)if(0<v.length&&h){for(var n=0,w=v.length;n<w;n++){var E=v[n];c.texImage2D(3553,n,r,E.width,E.height,0,u,q,E.data)}d.generateMipmaps=!1;b.__maxMipLevel=v.length-1}else c.texImage2D(3553,0,r,e.width,e.height,0,u,\n",
       "q,e.data),b.__maxMipLevel=0;else if(d.isCompressedTexture){n=0;for(w=v.length;n<w;n++)E=v[n],1023!==d.format&&1022!==d.format?null!==u?c.compressedTexImage2D(3553,n,r,E.width,E.height,0,E.data):console.warn(&quot;THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()&quot;):c.texImage2D(3553,n,r,E.width,E.height,0,u,q,E.data);b.__maxMipLevel=v.length-1}else if(d.isDataTexture2DArray)c.texImage3D(35866,0,r,e.width,e.height,e.depth,0,u,q,e.data),b.__maxMipLevel=0;else if(d.isDataTexture3D)c.texImage3D(32879,\n",
       "0,r,e.width,e.height,e.depth,0,u,q,e.data),b.__maxMipLevel=0;else if(0<v.length&&h){n=0;for(w=v.length;n<w;n++)E=v[n],c.texImage2D(3553,n,r,u,q,E);d.generateMipmaps=!1;b.__maxMipLevel=v.length-1}else c.texImage2D(3553,0,r,u,q,e),b.__maxMipLevel=0;k(d,h)&&p(g,d,e.width,e.height);b.__version=d.version;if(d.onUpdate)d.onUpdate(d)}function B(b,e,g,h){var l=f.convert(e.texture.format),m=f.convert(e.texture.type),p=x(e.texture.internalFormat,l,m);c.texImage2D(h,0,p,e.width,e.height,0,l,m,null);a.bindFramebuffer(36160,\n",
       "b);a.framebufferTexture2D(36160,g,h,d.get(e.texture).__webglTexture,0);a.bindFramebuffer(36160,null)}function y(b,c,d){a.bindRenderbuffer(36161,b);if(c.depthBuffer&&!c.stencilBuffer){var e=33189;d?((d=c.depthTexture)&&d.isDepthTexture&&(1015===d.type?e=36012:1014===d.type&&(e=33190)),d=ia(c),a.renderbufferStorageMultisample(36161,d,e,c.width,c.height)):a.renderbufferStorage(36161,e,c.width,c.height);a.framebufferRenderbuffer(36160,36096,36161,b)}else c.depthBuffer&&c.stencilBuffer?(d?(d=ia(c),a.renderbufferStorageMultisample(36161,\n",
       "d,35056,c.width,c.height)):a.renderbufferStorage(36161,34041,c.width,c.height),a.framebufferRenderbuffer(36160,33306,36161,b)):(b=f.convert(c.texture.format),e=f.convert(c.texture.type),e=x(c.texture.internalFormat,b,e),d?(d=ia(c),a.renderbufferStorageMultisample(36161,d,e,c.width,c.height)):a.renderbufferStorage(36161,e,c.width,c.height));a.bindRenderbuffer(36161,null)}function ia(a){return Ca&&a.isWebGLMultisampleRenderTarget?Math.min(A,a.samples):0}var Ca=e.isWebGL2,D=e.maxTextures,H=e.maxCubemapSize,\n",
       "F=e.maxTextureSize,A=e.maxSamples,C=new WeakMap,G,K=!1;try{K=&quot;undefined&quot;!==typeof OffscreenCanvas&&null!==(new OffscreenCanvas(1,1)).getContext(&quot;2d&quot;)}catch(Nd){}var M=0,N={1E3:10497,1001:33071,1002:33648},fa={1003:9728,1004:9984,1005:9986,1006:9729,1007:9985,1008:9987},P=!1,O=!1;this.allocateTextureUnit=function(){var a=M;a>=D&&console.warn(&quot;THREE.WebGLTextures: Trying to use &quot;+a+&quot; texture units while this GPU supports only &quot;+D);M+=1;return a};this.resetTextureUnits=function(){M=0};this.setTexture2D=\n",
       "n;this.setTexture2DArray=function(a,b){var e=d.get(a);0<a.version&&e.__version!==a.version?ca(e,a,b):(c.activeTexture(33984+b),c.bindTexture(35866,e.__webglTexture))};this.setTexture3D=function(a,b){var e=d.get(a);0<a.version&&e.__version!==a.version?ca(e,a,b):(c.activeTexture(33984+b),c.bindTexture(32879,e.__webglTexture))};this.setTextureCube=w;this.setTextureCubeDynamic=z;this.setupRenderTarget=function(b){var e=d.get(b),h=d.get(b.texture);b.addEventListener(&quot;dispose&quot;,v);h.__webglTexture=a.createTexture();\n",
       "g.memory.textures++;var l=!0===b.isWebGLCubeRenderTarget,u=!0===b.isWebGLMultisampleRenderTarget,q=m(b)||Ca;!Ca||1022!==b.texture.format||1015!==b.texture.type&&1016!==b.texture.type||(b.texture.format=1023,console.warn(&quot;THREE.WebGLRenderer: Rendering to textures with RGB format is not supported. Using RGBA format instead.&quot;));if(l)for(e.__webglFramebuffer=[],u=0;6>u;u++)e.__webglFramebuffer[u]=a.createFramebuffer();else if(e.__webglFramebuffer=a.createFramebuffer(),u)if(Ca){e.__webglMultisampledFramebuffer=\n",
       "a.createFramebuffer();e.__webglColorRenderbuffer=a.createRenderbuffer();a.bindRenderbuffer(36161,e.__webglColorRenderbuffer);u=f.convert(b.texture.format);var r=f.convert(b.texture.type);u=x(b.texture.internalFormat,u,r);r=ia(b);a.renderbufferStorageMultisample(36161,r,u,b.width,b.height);a.bindFramebuffer(36160,e.__webglMultisampledFramebuffer);a.framebufferRenderbuffer(36160,36064,36161,e.__webglColorRenderbuffer);a.bindRenderbuffer(36161,null);b.depthBuffer&&(e.__webglDepthRenderbuffer=a.createRenderbuffer(),\n",
       "y(e.__webglDepthRenderbuffer,b,!0));a.bindFramebuffer(36160,null)}else console.warn(&quot;THREE.WebGLRenderer: WebGLMultisampleRenderTarget can only be used with WebGL2.&quot;);if(l){c.bindTexture(34067,h.__webglTexture);t(34067,b.texture,q);for(u=0;6>u;u++)B(e.__webglFramebuffer[u],b,36064,34069+u);k(b.texture,q)&&p(34067,b.texture,b.width,b.height);c.bindTexture(34067,null)}else c.bindTexture(3553,h.__webglTexture),t(3553,b.texture,q),B(e.__webglFramebuffer,b,36064,3553),k(b.texture,q)&&p(3553,b.texture,\n",
       "b.width,b.height),c.bindTexture(3553,null);if(b.depthBuffer){e=d.get(b);h=!0===b.isWebGLCubeRenderTarget;if(b.depthTexture){if(h)throw Error(&quot;target.depthTexture not supported in Cube render targets&quot;);if(b&&b.isWebGLCubeRenderTarget)throw Error(&quot;Depth Texture with cube render targets is not supported&quot;);a.bindFramebuffer(36160,e.__webglFramebuffer);if(!b.depthTexture||!b.depthTexture.isDepthTexture)throw Error(&quot;renderTarget.depthTexture must be an instance of THREE.DepthTexture&quot;);d.get(b.depthTexture).__webglTexture&&\n",
       "b.depthTexture.image.width===b.width&&b.depthTexture.image.height===b.height||(b.depthTexture.image.width=b.width,b.depthTexture.image.height=b.height,b.depthTexture.needsUpdate=!0);n(b.depthTexture,0);e=d.get(b.depthTexture).__webglTexture;if(1026===b.depthTexture.format)a.framebufferTexture2D(36160,36096,3553,e,0);else if(1027===b.depthTexture.format)a.framebufferTexture2D(36160,33306,3553,e,0);else throw Error(&quot;Unknown depthTexture format&quot;);}else if(h)for(e.__webglDepthbuffer=[],h=0;6>h;h++)a.bindFramebuffer(36160,\n",
       "e.__webglFramebuffer[h]),e.__webglDepthbuffer[h]=a.createRenderbuffer(),y(e.__webglDepthbuffer[h],b,!1);else a.bindFramebuffer(36160,e.__webglFramebuffer),e.__webglDepthbuffer=a.createRenderbuffer(),y(e.__webglDepthbuffer,b,!1);a.bindFramebuffer(36160,null)}};this.updateRenderTargetMipmap=function(a){var b=a.texture,e=m(a)||Ca;if(k(b,e)){e=a.isWebGLCubeRenderTarget?34067:3553;var f=d.get(b).__webglTexture;c.bindTexture(e,f);p(e,b,a.width,a.height);c.bindTexture(e,null)}};this.updateMultisampleRenderTarget=\n",
       "function(b){if(b.isWebGLMultisampleRenderTarget)if(Ca){var c=d.get(b);a.bindFramebuffer(36008,c.__webglMultisampledFramebuffer);a.bindFramebuffer(36009,c.__webglFramebuffer);var e=b.width,f=b.height,g=16384;b.depthBuffer&&(g|=256);b.stencilBuffer&&(g|=1024);a.blitFramebuffer(0,0,e,f,0,0,e,f,g,9728);a.bindFramebuffer(36160,c.__webglMultisampledFramebuffer)}else console.warn(&quot;THREE.WebGLRenderer: WebGLMultisampleRenderTarget can only be used with WebGL2.&quot;)};this.safeSetTexture2D=function(a,b){a&&a.isWebGLRenderTarget&&\n",
       "(!1===P&&(console.warn(&quot;THREE.WebGLTextures.safeSetTexture2D: don't use render targets as textures. Use their .texture property instead.&quot;),P=!0),a=a.texture);n(a,b)};this.safeSetTextureCube=function(a,b){a&&a.isWebGLCubeRenderTarget&&(!1===O&&(console.warn(&quot;THREE.WebGLTextures.safeSetTextureCube: don't use cube render targets as textures. Use their .texture property instead.&quot;),O=!0),a=a.texture);a&&a.isCubeTexture||Array.isArray(a.image)&&6===a.image.length?w(a,b):z(a,b)}}function Zh(a,b,c){var d=\n",
       "c.isWebGL2;return{convert:function(a){if(1009===a)return 5121;if(1017===a)return 32819;if(1018===a)return 32820;if(1019===a)return 33635;if(1010===a)return 5120;if(1011===a)return 5122;if(1012===a)return 5123;if(1013===a)return 5124;if(1014===a)return 5125;if(1015===a)return 5126;if(1016===a){if(d)return 5131;var c=b.get(&quot;OES_texture_half_float&quot;);return null!==c?c.HALF_FLOAT_OES:null}if(1021===a)return 6406;if(1022===a)return 6407;if(1023===a)return 6408;if(1024===a)return 6409;if(1025===a)return 6410;\n",
       "if(1026===a)return 6402;if(1027===a)return 34041;if(1028===a)return 6403;if(1029===a)return 36244;if(1030===a)return 33319;if(1031===a)return 33320;if(1032===a)return 36248;if(1033===a)return 36249;if(33776===a||33777===a||33778===a||33779===a)if(c=b.get(&quot;WEBGL_compressed_texture_s3tc&quot;),null!==c){if(33776===a)return c.COMPRESSED_RGB_S3TC_DXT1_EXT;if(33777===a)return c.COMPRESSED_RGBA_S3TC_DXT1_EXT;if(33778===a)return c.COMPRESSED_RGBA_S3TC_DXT3_EXT;if(33779===a)return c.COMPRESSED_RGBA_S3TC_DXT5_EXT}else return null;\n",
       "if(35840===a||35841===a||35842===a||35843===a)if(c=b.get(&quot;WEBGL_compressed_texture_pvrtc&quot;),null!==c){if(35840===a)return c.COMPRESSED_RGB_PVRTC_4BPPV1_IMG;if(35841===a)return c.COMPRESSED_RGB_PVRTC_2BPPV1_IMG;if(35842===a)return c.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG;if(35843===a)return c.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG}else return null;if(36196===a)return c=b.get(&quot;WEBGL_compressed_texture_etc1&quot;),null!==c?c.COMPRESSED_RGB_ETC1_WEBGL:null;if(37492===a||37496===a)if(c=b.get(&quot;WEBGL_compressed_texture_etc&quot;),\n",
       "null!==c){if(37492===a)return c.COMPRESSED_RGB8_ETC2;if(37496===a)return c.COMPRESSED_RGBA8_ETC2_EAC}if(37808===a||37809===a||37810===a||37811===a||37812===a||37813===a||37814===a||37815===a||37816===a||37817===a||37818===a||37819===a||37820===a||37821===a||37840===a||37841===a||37842===a||37843===a||37844===a||37845===a||37846===a||37847===a||37848===a||37849===a||37850===a||37851===a||37852===a||37853===a)return c=b.get(&quot;WEBGL_compressed_texture_astc&quot;),null!==c?a:null;if(36492===a)return c=b.get(&quot;EXT_texture_compression_bptc&quot;),\n",
       "null!==c?a:null;if(1020===a){if(d)return 34042;c=b.get(&quot;WEBGL_depth_texture&quot;);return null!==c?c.UNSIGNED_INT_24_8_WEBGL:null}}}}function Pe(a){aa.call(this);this.cameras=a||[]}function Mc(){F.call(this);this.type=&quot;Group&quot;}function $h(a,b){function c(a){var b=q.get(a.inputSource);b&&(b.targetRay&&b.targetRay.dispatchEvent({type:a.type}),b.grip&&b.grip.dispatchEvent({type:a.type}))}function d(){q.forEach(function(a,b){a.targetRay&&(a.targetRay.dispatchEvent({type:&quot;disconnected&quot;,data:b}),a.targetRay.visible=\n",
       "!1);a.grip&&(a.grip.dispatchEvent({type:&quot;disconnected&quot;,data:b}),a.grip.visible=!1)});q.clear();a.setFramebuffer(null);a.setRenderTarget(a.getRenderTarget());y.stop();h.isPresenting=!1;h.dispatchEvent({type:&quot;sessionend&quot;})}function e(a){k=a;y.setContext(l);y.start();h.isPresenting=!0;h.dispatchEvent({type:&quot;sessionstart&quot;})}function f(a){for(var b=l.inputSources,c=0;c<r.length;c++)q.set(b[c],r[c]);for(c=0;c<a.removed.length;c++){b=a.removed[c];var d=q.get(b);d&&(d.targetRay&&d.targetRay.dispatchEvent({type:&quot;disconnected&quot;,\n",
       "data:b}),d.grip&&d.grip.dispatchEvent({type:&quot;disconnected&quot;,data:b}),q.delete(b))}for(c=0;c<a.added.length;c++)if(b=a.added[c],d=q.get(b))d.targetRay&&d.targetRay.dispatchEvent({type:&quot;connected&quot;,data:b}),d.grip&&d.grip.dispatchEvent({type:&quot;connected&quot;,data:b})}function g(a,b){null===b?a.matrixWorld.copy(a.matrix):a.matrixWorld.multiplyMatrices(b.matrixWorld,a.matrix);a.matrixWorldInverse.getInverse(a.matrixWorld)}var h=this,l=null,m=1,k=null,p=&quot;local-floor&quot;,x=null,r=[],q=new Map,v=new aa;v.layers.enable(1);\n",
       "v.viewport=new ka;var E=new aa;E.layers.enable(2);E.viewport=new ka;var w=new Pe([v,E]);w.layers.enable(1);w.layers.enable(2);var z=null,t=null;this.isPresenting=this.enabled=!1;this.getController=function(a){var b=r[a];void 0===b&&(b={},r[a]=b);void 0===b.targetRay&&(b.targetRay=new Mc,b.targetRay.matrixAutoUpdate=!1,b.targetRay.visible=!1);return b.targetRay};this.getControllerGrip=function(a){var b=r[a];void 0===b&&(b={},r[a]=b);void 0===b.grip&&(b.grip=new Mc,b.grip.matrixAutoUpdate=!1,b.grip.visible=\n",
       "!1);return b.grip};this.setFramebufferScaleFactor=function(a){m=a;1==h.isPresenting&&console.warn(&quot;WebXRManager: Cannot change framebuffer scale while presenting VR content&quot;)};this.setReferenceSpaceType=function(a){p=a};this.getReferenceSpace=function(){return k};this.getSession=function(){return l};this.setSession=function(a){l=a;null!==l&&(l.addEventListener(&quot;select&quot;,c),l.addEventListener(&quot;selectstart&quot;,c),l.addEventListener(&quot;selectend&quot;,c),l.addEventListener(&quot;squeeze&quot;,c),l.addEventListener(&quot;squeezestart&quot;,\n",
       "c),l.addEventListener(&quot;squeezeend&quot;,c),l.addEventListener(&quot;end&quot;,d),a=b.getContextAttributes(),a=new XRWebGLLayer(l,b,{antialias:a.antialias,alpha:a.alpha,depth:a.depth,stencil:a.stencil,framebufferScaleFactor:m}),l.updateRenderState({baseLayer:a}),l.requestReferenceSpace(p).then(e),l.addEventListener(&quot;inputsourceschange&quot;,f))};var U=new n,ca=new n;this.getCamera=function(a){w.near=E.near=v.near=a.near;w.far=E.far=v.far=a.far;if(z!==w.near||t!==w.far)l.updateRenderState({depthNear:w.near,depthFar:w.far}),\n",
       "z=w.near,t=w.far;var b=a.parent,c=w.cameras;g(w,b);for(var d=0;d<c.length;d++)g(c[d],b);a.matrixWorld.copy(w.matrixWorld);a=a.children;d=0;for(b=a.length;d<b;d++)a[d].updateMatrixWorld(!0);U.setFromMatrixPosition(v.matrixWorld);ca.setFromMatrixPosition(E.matrixWorld);d=U.distanceTo(ca);var e=v.projectionMatrix.elements,f=E.projectionMatrix.elements,h=e[14]/(e[10]-1);a=e[14]/(e[10]+1);b=(e[9]+1)/e[5];c=(e[9]-1)/e[5];var m=(e[8]-1)/e[0],p=(f[8]+1)/f[0];f=h*m;e=h*p;p=d/(-m+p);m=p*-m;v.matrixWorld.decompose(w.position,\n",
       "w.quaternion,w.scale);w.translateX(m);w.translateZ(p);w.matrixWorld.compose(w.position,w.quaternion,w.scale);w.matrixWorldInverse.getInverse(w.matrixWorld);h+=p;p=a+p;w.projectionMatrix.makePerspective(f-m,e+(d-m),b*a/p*h,c*a/p*h,h,p);return w};var B=null,y=new Ah;y.setAnimationLoop(function(b,c){x=c.getViewerPose(k);if(null!==x){var d=x.views,e=l.renderState.baseLayer;a.setFramebuffer(e.framebuffer);for(var f=0;f<d.length;f++){var g=d[f],h=e.getViewport(g),m=w.cameras[f];m.matrix.fromArray(g.transform.matrix);\n",
       "m.projectionMatrix.fromArray(g.projectionMatrix);m.viewport.set(h.x,h.y,h.width,h.height);0===f&&w.matrix.copy(m.matrix)}}d=l.inputSources;for(f=0;f<r.length;f++)e=r[f],g=d[f],m=h=null,g&&(e.targetRay&&(h=c.getPose(g.targetRaySpace,k),null!==h&&(e.targetRay.matrix.fromArray(h.transform.matrix),e.targetRay.matrix.decompose(e.targetRay.position,e.targetRay.rotation,e.targetRay.scale))),e.grip&&g.gripSpace&&(m=c.getPose(g.gripSpace,k),null!==m&&(e.grip.matrix.fromArray(m.transform.matrix),e.grip.matrix.decompose(e.grip.position,\n",
       "e.grip.rotation,e.grip.scale)))),e.targetRay&&(e.targetRay.visible=null!==h),e.grip&&(e.grip.visible=null!==m);B&&B(b,c)});this.setAnimationLoop=function(a){B=a};this.dispose=function(){}}function og(a){var b;function c(){ra=new zj(I);Fa=new xj(I,ra,a);!1===Fa.isWebGL2&&(ra.get(&quot;WEBGL_depth_texture&quot;),ra.get(&quot;OES_texture_float&quot;),ra.get(&quot;OES_texture_half_float&quot;),ra.get(&quot;OES_texture_half_float_linear&quot;),ra.get(&quot;OES_standard_derivatives&quot;),ra.get(&quot;OES_element_index_uint&quot;),ra.get(&quot;ANGLE_instanced_arrays&quot;));\n",
       "ra.get(&quot;OES_texture_float_linear&quot;);qa=new Zh(I,ra,Fa);Y=new Ik(I,ra,Fa);Y.scissor(T.copy(ja).multiplyScalar(Q).floor());Y.viewport(Z.copy(R).multiplyScalar(Q).floor());aa=new Cj(I);X=new yk;ea=new Jk(I,ra,Y,X,Fa,qa,aa);oa=new uj(I,Fa);xa=new Aj(I,oa,aa);sa=new Fj(I,xa,oa,aa);ya=new Ej(I);ta=new xk(H,ra,Fa);wa=new Bk;va=new Hk;pa=new vj(H,Y,sa,ca);Aa=new wj(I,ra,aa,Fa);Ba=new Bj(I,ra,aa,Fa);aa.programs=ta.programs;H.capabilities=Fa;H.extensions=ra;H.properties=X;H.renderLists=wa;H.state=Y;H.info=aa}\n",
       "function d(a){a.preventDefault();console.log(&quot;THREE.WebGLRenderer: Context Lost.&quot;);G=!0}function e(){console.log(&quot;THREE.WebGLRenderer: Context Restored.&quot;);G=!1;c()}function f(a){a=a.target;a.removeEventListener(&quot;dispose&quot;,f);g(a);X.remove(a)}function g(a){var b=X.get(a).program;a.program=void 0;void 0!==b&&ta.releaseProgram(b)}function h(a,b){a.render(function(a){H.renderBufferImmediate(a,b)})}function l(a,b,c,d){if(!1!==a.visible){if(a.layers.test(b.layers))if(a.isGroup)c=a.renderOrder;else if(a.isLOD)!0===\n",
       "a.autoUpdate&&a.update(b);else if(a.isLight)A.pushLight(a),a.castShadow&&A.pushShadow(a);else if(a.isSprite){if(!a.frustumCulled||lg.intersectsSprite(a)){d&&Hb.setFromMatrixPosition(a.matrixWorld).applyMatrix4(Md);var e=sa.update(a),f=a.material;f.visible&&C.push(a,e,f,c,Hb.z,null)}}else if(a.isImmediateRenderObject)d&&Hb.setFromMatrixPosition(a.matrixWorld).applyMatrix4(Md),C.push(a,null,a.material,c,Hb.z,null);else if(a.isMesh||a.isLine||a.isPoints)if(a.isSkinnedMesh&&a.skeleton.frame!==aa.render.frame&&\n",
       "(a.skeleton.update(),a.skeleton.frame=aa.render.frame),!a.frustumCulled||lg.intersectsObject(a))if(d&&Hb.setFromMatrixPosition(a.matrixWorld).applyMatrix4(Md),e=sa.update(a),f=a.material,Array.isArray(f))for(var g=e.groups,h=0,m=g.length;h<m;h++){var p=g[h],k=f[p.materialIndex];k&&k.visible&&C.push(a,e,k,c,Hb.z,p)}else f.visible&&C.push(a,e,f,c,Hb.z,null);a=a.children;h=0;for(m=a.length;h<m;h++)l(a[h],b,c,d)}}function m(a,b,c,d){for(var e=0,f=a.length;e<f;e++){var g=a[e],h=g.object,l=g.geometry,m=\n",
       "void 0===d?g.material:d;g=g.group;if(c.isArrayCamera){ba=c;for(var p=c.cameras,u=0,q=p.length;u<q;u++){var x=p[u];h.layers.test(x.layers)&&(Y.viewport(Z.copy(x.viewport)),A.setupLights(x),k(h,b,x,l,m,g))}}else ba=null,k(h,b,c,l,m,g)}}function k(a,c,d,e,f,g){a.onBeforeRender(H,c,d,e,f,g);A=va.get(c,ba||d);a.modelViewMatrix.multiplyMatrices(d.matrixWorldInverse,a.matrixWorld);a.normalMatrix.getNormalMatrix(a.modelViewMatrix);if(a.isImmediateRenderObject){var l=x(d,c,f,a);Y.setMaterial(f);fa=b=null;\n",
       "Oe=!1;h(a,l)}else H.renderBufferDirect(d,c,e,f,a,g);a.onAfterRender(H,c,d,e,f,g);A=va.get(c,ba||d)}function p(a,b,c){var d=X.get(a),e=A.state.lights,h=e.state.version;c=ta.getParameters(a,e.state,A.state.shadowsArray,b,Ua.numPlanes,Ua.numIntersection,c);var l=ta.getProgramCacheKey(c),m=d.program,p=!0;if(void 0===m)a.addEventListener(&quot;dispose&quot;,f);else if(m.cacheKey!==l)g(a);else{if(d.lightsStateVersion!==h)d.lightsStateVersion=h;else if(void 0!==c.shaderID)return;p=!1}p&&(m=ta.acquireProgram(c,l),\n",
       "d.program=m,d.uniforms=c.uniforms,d.environment=a.isMeshStandardMaterial?b.environment:null,d.outputEncoding=H.outputEncoding,a.program=m);c=m.getAttributes();if(a.morphTargets)for(l=a.numSupportedMorphTargets=0;l<H.maxMorphTargets;l++)0<=c[&quot;morphTarget&quot;+l]&&a.numSupportedMorphTargets++;if(a.morphNormals)for(l=a.numSupportedMorphNormals=0;l<H.maxMorphNormals;l++)0<=c[&quot;morphNormal&quot;+l]&&a.numSupportedMorphNormals++;c=d.uniforms;if(!a.isShaderMaterial&&!a.isRawShaderMaterial||!0===a.clipping)d.numClippingPlanes=\n",
       "Ua.numPlanes,d.numIntersection=Ua.numIntersection,c.clippingPlanes=Ua.uniform;d.fog=b.fog;d.needsLights=a.isMeshLambertMaterial||a.isMeshToonMaterial||a.isMeshPhongMaterial||a.isMeshStandardMaterial||a.isShadowMaterial||a.isShaderMaterial&&!0===a.lights;d.lightsStateVersion=h;d.needsLights&&(c.ambientLightColor.value=e.state.ambient,c.lightProbe.value=e.state.probe,c.directionalLights.value=e.state.directional,c.directionalLightShadows.value=e.state.directionalShadow,c.spotLights.value=e.state.spot,\n",
       "c.spotLightShadows.value=e.state.spotShadow,c.rectAreaLights.value=e.state.rectArea,c.pointLights.value=e.state.point,c.pointLightShadows.value=e.state.pointShadow,c.hemisphereLights.value=e.state.hemi,c.directionalShadowMap.value=e.state.directionalShadowMap,c.directionalShadowMatrix.value=e.state.directionalShadowMatrix,c.spotShadowMap.value=e.state.spotShadowMap,c.spotShadowMatrix.value=e.state.spotShadowMatrix,c.pointShadowMap.value=e.state.pointShadowMap,c.pointShadowMatrix.value=e.state.pointShadowMatrix);\n",
       "a=d.program.getUniforms();a=Eb.seqWithValue(a.seq,c);d.uniformsList=a}function x(a,b,c,d){ea.resetTextureUnits();var e=b.fog,f=c.isMeshStandardMaterial?b.environment:null,g=X.get(c),h=A.state.lights;na&&(mg||a!==V)&&Ua.setState(c.clippingPlanes,c.clipIntersection,c.clipShadows,a,g,a===V&&c.id===Ne);c.version===g.__version?void 0===g.program?p(c,b,d):c.fog&&g.fog!==e?p(c,b,d):g.environment!==f?p(c,b,d):g.needsLights&&g.lightsStateVersion!==h.state.version?p(c,b,d):void 0===g.numClippingPlanes||g.numClippingPlanes===\n",
       "Ua.numPlanes&&g.numIntersection===Ua.numIntersection?g.outputEncoding!==H.outputEncoding&&p(c,b,d):p(c,b,d):(p(c,b,d),g.__version=c.version);var l=!1,m=!1,k=!1;b=g.program;h=b.getUniforms();var u=g.uniforms;Y.useProgram(b.program)&&(k=m=l=!0);c.id!==Ne&&(Ne=c.id,m=!0);if(l||V!==a){h.setValue(I,&quot;projectionMatrix&quot;,a.projectionMatrix);Fa.logarithmicDepthBuffer&&h.setValue(I,&quot;logDepthBufFC&quot;,2/(Math.log(a.far+1)/Math.LN2));V!==a&&(V=a,k=m=!0);if(c.isShaderMaterial||c.isMeshPhongMaterial||c.isMeshToonMaterial||\n",
       "c.isMeshStandardMaterial||c.envMap)l=h.map.cameraPosition,void 0!==l&&l.setValue(I,Hb.setFromMatrixPosition(a.matrixWorld));(c.isMeshPhongMaterial||c.isMeshToonMaterial||c.isMeshLambertMaterial||c.isMeshBasicMaterial||c.isMeshStandardMaterial||c.isShaderMaterial)&&h.setValue(I,&quot;isOrthographic&quot;,!0===a.isOrthographicCamera);(c.isMeshPhongMaterial||c.isMeshToonMaterial||c.isMeshLambertMaterial||c.isMeshBasicMaterial||c.isMeshStandardMaterial||c.isShaderMaterial||c.skinning)&&h.setValue(I,&quot;viewMatrix&quot;,\n",
       "a.matrixWorldInverse)}if(c.skinning&&(h.setOptional(I,d,&quot;bindMatrix&quot;),h.setOptional(I,d,&quot;bindMatrixInverse&quot;),a=d.skeleton))if(l=a.bones,Fa.floatVertexTextures){if(void 0===a.boneTexture){l=Math.sqrt(4*l.length);l=L.ceilPowerOfTwo(l);l=Math.max(l,4);var x=new Float32Array(l*l*4);x.set(a.boneMatrices);var v=new ac(x,l,l,1023,1015);a.boneMatrices=x;a.boneTexture=v;a.boneTextureSize=l}h.setValue(I,&quot;boneTexture&quot;,a.boneTexture,ea);h.setValue(I,&quot;boneTextureSize&quot;,a.boneTextureSize)}else h.setOptional(I,a,\n",
       "&quot;boneMatrices&quot;);if(m||g.receiveShadow!==d.receiveShadow)g.receiveShadow=d.receiveShadow,h.setValue(I,&quot;receiveShadow&quot;,d.receiveShadow);if(m){h.setValue(I,&quot;toneMappingExposure&quot;,H.toneMappingExposure);h.setValue(I,&quot;toneMappingWhitePoint&quot;,H.toneMappingWhitePoint);g.needsLights&&(m=k,u.ambientLightColor.needsUpdate=m,u.lightProbe.needsUpdate=m,u.directionalLights.needsUpdate=m,u.directionalLightShadows.needsUpdate=m,u.pointLights.needsUpdate=m,u.pointLightShadows.needsUpdate=m,u.spotLights.needsUpdate=\n",
       "m,u.spotLightShadows.needsUpdate=m,u.rectAreaLights.needsUpdate=m,u.hemisphereLights.needsUpdate=m);e&&c.fog&&(u.fogColor.value.copy(e.color),e.isFog?(u.fogNear.value=e.near,u.fogFar.value=e.far):e.isFogExp2&&(u.fogDensity.value=e.density));if(c.isMeshBasicMaterial)r(u,c);else if(c.isMeshLambertMaterial)r(u,c),c.emissiveMap&&(u.emissiveMap.value=c.emissiveMap);else if(c.isMeshToonMaterial)r(u,c),u.specular.value.copy(c.specular),u.shininess.value=Math.max(c.shininess,1E-4),c.gradientMap&&(u.gradientMap.value=\n",
       "c.gradientMap),c.emissiveMap&&(u.emissiveMap.value=c.emissiveMap),c.bumpMap&&(u.bumpMap.value=c.bumpMap,u.bumpScale.value=c.bumpScale,1===c.side&&(u.bumpScale.value*=-1)),c.normalMap&&(u.normalMap.value=c.normalMap,u.normalScale.value.copy(c.normalScale),1===c.side&&u.normalScale.value.negate()),c.displacementMap&&(u.displacementMap.value=c.displacementMap,u.displacementScale.value=c.displacementScale,u.displacementBias.value=c.displacementBias);else if(c.isMeshPhongMaterial)r(u,c),u.specular.value.copy(c.specular),\n",
       "u.shininess.value=Math.max(c.shininess,1E-4),c.emissiveMap&&(u.emissiveMap.value=c.emissiveMap),c.bumpMap&&(u.bumpMap.value=c.bumpMap,u.bumpScale.value=c.bumpScale,1===c.side&&(u.bumpScale.value*=-1)),c.normalMap&&(u.normalMap.value=c.normalMap,u.normalScale.value.copy(c.normalScale),1===c.side&&u.normalScale.value.negate()),c.displacementMap&&(u.displacementMap.value=c.displacementMap,u.displacementScale.value=c.displacementScale,u.displacementBias.value=c.displacementBias);else if(c.isMeshStandardMaterial)r(u,\n",
       "c,f),c.isMeshPhysicalMaterial?(q(u,c,f),u.reflectivity.value=c.reflectivity,u.clearcoat.value=c.clearcoat,u.clearcoatRoughness.value=c.clearcoatRoughness,c.sheen&&u.sheen.value.copy(c.sheen),c.clearcoatMap&&(u.clearcoatMap.value=c.clearcoatMap),c.clearcoatRoughnessMap&&(u.clearcoatRoughnessMap.value=c.clearcoatRoughnessMap),c.clearcoatNormalMap&&(u.clearcoatNormalScale.value.copy(c.clearcoatNormalScale),u.clearcoatNormalMap.value=c.clearcoatNormalMap,1===c.side&&u.clearcoatNormalScale.value.negate()),\n",
       "u.transparency.value=c.transparency):q(u,c,f);else if(c.isMeshMatcapMaterial)r(u,c),c.matcap&&(u.matcap.value=c.matcap),c.bumpMap&&(u.bumpMap.value=c.bumpMap,u.bumpScale.value=c.bumpScale,1===c.side&&(u.bumpScale.value*=-1)),c.normalMap&&(u.normalMap.value=c.normalMap,u.normalScale.value.copy(c.normalScale),1===c.side&&u.normalScale.value.negate()),c.displacementMap&&(u.displacementMap.value=c.displacementMap,u.displacementScale.value=c.displacementScale,u.displacementBias.value=c.displacementBias);\n",
       "else if(c.isMeshDepthMaterial)r(u,c),c.displacementMap&&(u.displacementMap.value=c.displacementMap,u.displacementScale.value=c.displacementScale,u.displacementBias.value=c.displacementBias);else if(c.isMeshDistanceMaterial)r(u,c),c.displacementMap&&(u.displacementMap.value=c.displacementMap,u.displacementScale.value=c.displacementScale,u.displacementBias.value=c.displacementBias),u.referencePosition.value.copy(c.referencePosition),u.nearDistance.value=c.nearDistance,u.farDistance.value=c.farDistance;\n",
       "else if(c.isMeshNormalMaterial)r(u,c),c.bumpMap&&(u.bumpMap.value=c.bumpMap,u.bumpScale.value=c.bumpScale,1===c.side&&(u.bumpScale.value*=-1)),c.normalMap&&(u.normalMap.value=c.normalMap,u.normalScale.value.copy(c.normalScale),1===c.side&&u.normalScale.value.negate()),c.displacementMap&&(u.displacementMap.value=c.displacementMap,u.displacementScale.value=c.displacementScale,u.displacementBias.value=c.displacementBias);else if(c.isLineBasicMaterial)u.diffuse.value.copy(c.color),u.opacity.value=c.opacity,\n",
       "c.isLineDashedMaterial&&(u.dashSize.value=c.dashSize,u.totalSize.value=c.dashSize+c.gapSize,u.scale.value=c.scale);else if(c.isPointsMaterial){u.diffuse.value.copy(c.color);u.opacity.value=c.opacity;u.size.value=c.size*Q;u.scale.value=.5*J;c.map&&(u.map.value=c.map);c.alphaMap&&(u.alphaMap.value=c.alphaMap);if(c.map)var n=c.map;else c.alphaMap&&(n=c.alphaMap);void 0!==n&&(!0===n.matrixAutoUpdate&&n.updateMatrix(),u.uvTransform.value.copy(n.matrix))}else if(c.isSpriteMaterial){u.diffuse.value.copy(c.color);\n",
       "u.opacity.value=c.opacity;u.rotation.value=c.rotation;c.map&&(u.map.value=c.map);c.alphaMap&&(u.alphaMap.value=c.alphaMap);if(c.map)var w=c.map;else c.alphaMap&&(w=c.alphaMap);void 0!==w&&(!0===w.matrixAutoUpdate&&w.updateMatrix(),u.uvTransform.value.copy(w.matrix))}else c.isShadowMaterial&&(u.color.value.copy(c.color),u.opacity.value=c.opacity);void 0!==u.ltc_1&&(u.ltc_1.value=D.LTC_1);void 0!==u.ltc_2&&(u.ltc_2.value=D.LTC_2);Eb.upload(I,g.uniformsList,u,ea);c.isShaderMaterial&&(c.uniformsNeedUpdate=\n",
       "!1)}c.isShaderMaterial&&!0===c.uniformsNeedUpdate&&(Eb.upload(I,g.uniformsList,u,ea),c.uniformsNeedUpdate=!1);c.isSpriteMaterial&&h.setValue(I,&quot;center&quot;,d.center);h.setValue(I,&quot;modelViewMatrix&quot;,d.modelViewMatrix);h.setValue(I,&quot;normalMatrix&quot;,d.normalMatrix);h.setValue(I,&quot;modelMatrix&quot;,d.matrixWorld);return b}function r(a,b,c){a.opacity.value=b.opacity;b.color&&a.diffuse.value.copy(b.color);b.emissive&&a.emissive.value.copy(b.emissive).multiplyScalar(b.emissiveIntensity);b.map&&(a.map.value=b.map);b.alphaMap&&\n",
       "(a.alphaMap.value=b.alphaMap);b.specularMap&&(a.specularMap.value=b.specularMap);if(c=b.envMap||c)a.envMap.value=c,a.flipEnvMap.value=c.isCubeTexture?-1:1,a.reflectivity.value=b.reflectivity,a.refractionRatio.value=b.refractionRatio,a.maxMipLevel.value=X.get(c).__maxMipLevel;b.lightMap&&(a.lightMap.value=b.lightMap,a.lightMapIntensity.value=b.lightMapIntensity);b.aoMap&&(a.aoMap.value=b.aoMap,a.aoMapIntensity.value=b.aoMapIntensity);if(b.map)var d=b.map;else b.specularMap?d=b.specularMap:b.displacementMap?\n",
       "d=b.displacementMap:b.normalMap?d=b.normalMap:b.bumpMap?d=b.bumpMap:b.roughnessMap?d=b.roughnessMap:b.metalnessMap?d=b.metalnessMap:b.alphaMap?d=b.alphaMap:b.emissiveMap&&(d=b.emissiveMap);void 0!==d&&(d.isWebGLRenderTarget&&(d=d.texture),!0===d.matrixAutoUpdate&&d.updateMatrix(),a.uvTransform.value.copy(d.matrix));if(b.aoMap)var e=b.aoMap;else b.lightMap&&(e=b.lightMap);void 0!==e&&(e.isWebGLRenderTarget&&(e=e.texture),!0===e.matrixAutoUpdate&&e.updateMatrix(),a.uv2Transform.value.copy(e.matrix))}\n",
       "function q(a,b,c){a.roughness.value=b.roughness;a.metalness.value=b.metalness;b.roughnessMap&&(a.roughnessMap.value=b.roughnessMap);b.metalnessMap&&(a.metalnessMap.value=b.metalnessMap);b.emissiveMap&&(a.emissiveMap.value=b.emissiveMap);b.bumpMap&&(a.bumpMap.value=b.bumpMap,a.bumpScale.value=b.bumpScale,1===b.side&&(a.bumpScale.value*=-1));b.normalMap&&(a.normalMap.value=b.normalMap,a.normalScale.value.copy(b.normalScale),1===b.side&&a.normalScale.value.negate());b.displacementMap&&(a.displacementMap.value=\n",
       "b.displacementMap,a.displacementScale.value=b.displacementScale,a.displacementBias.value=b.displacementBias);if(b.envMap||c)a.envMapIntensity.value=b.envMapIntensity}a=a||{};var v=void 0!==a.canvas?a.canvas:document.createElementNS(&quot;http://www.w3.org/1999/xhtml&quot;,&quot;canvas&quot;),E=void 0!==a.context?a.context:null,w=void 0!==a.alpha?a.alpha:!1,z=void 0!==a.depth?a.depth:!0,ha=void 0!==a.stencil?a.stencil:!0,U=void 0!==a.antialias?a.antialias:!1,ca=void 0!==a.premultipliedAlpha?a.premultipliedAlpha:!0,B=\n",
       "void 0!==a.preserveDrawingBuffer?a.preserveDrawingBuffer:!1,y=void 0!==a.powerPreference?a.powerPreference:&quot;default&quot;,F=void 0!==a.failIfMajorPerformanceCaveat?a.failIfMajorPerformanceCaveat:!1,C=null,A=null;this.domElement=v;this.debug={checkShaderErrors:!0};this.sortObjects=this.autoClearStencil=this.autoClearDepth=this.autoClearColor=this.autoClear=!0;this.clippingPlanes=[];this.localClippingEnabled=!1;this.gammaFactor=2;this.outputEncoding=3E3;this.physicallyCorrectLights=!1;this.toneMappingWhitePoint=\n",
       "this.toneMappingExposure=this.toneMapping=1;this.maxMorphTargets=8;this.maxMorphNormals=4;var H=this,G=!1,M=null,N=0,K=0,O=null,W=null,Ne=-1;var fa=b=null;var Oe=!1;var V=null,ba=null,Z=new ka,T=new ka,da=null,S=v.width,J=v.height,Q=1,la=null,ma=null,R=new ka(0,0,S,J),ja=new ka(0,0,S,J),kg=!1,lg=new Hc,Ua=new yj,na=!1,mg=!1,Md=new P,Hb=new n;try{w={alpha:w,depth:z,stencil:ha,antialias:U,premultipliedAlpha:ca,preserveDrawingBuffer:B,powerPreference:y,failIfMajorPerformanceCaveat:F,xrCompatible:!0};\n",
       "v.addEventListener(&quot;webglcontextlost&quot;,d,!1);v.addEventListener(&quot;webglcontextrestored&quot;,e,!1);var I=E||v.getContext(&quot;webgl&quot;,w)||v.getContext(&quot;experimental-webgl&quot;,w);if(null===I){if(null!==v.getContext(&quot;webgl&quot;))throw Error(&quot;Error creating WebGL context with your selected attributes.&quot;);throw Error(&quot;Error creating WebGL context.&quot;);}void 0===I.getShaderPrecisionFormat&&(I.getShaderPrecisionFormat=function(){return{rangeMin:1,rangeMax:1,precision:1}})}catch(ai){throw console.error(&quot;THREE.WebGLRenderer: &quot;+\n",
       "ai.message),ai;}var ra,Fa,Y,aa,X,ea,oa,xa,sa,ta,wa,va,pa,ya,Aa,Ba,qa;c();var ua=new $h(H,I);this.xr=ua;var Ea=new Xh(H,sa,Fa.maxTextureSize);this.shadowMap=Ea;this.getContext=function(){return I};this.getContextAttributes=function(){return I.getContextAttributes()};this.forceContextLoss=function(){var a=ra.get(&quot;WEBGL_lose_context&quot;);a&&a.loseContext()};this.forceContextRestore=function(){var a=ra.get(&quot;WEBGL_lose_context&quot;);a&&a.restoreContext()};this.getPixelRatio=function(){return Q};this.setPixelRatio=\n",
       "function(a){void 0!==a&&(Q=a,this.setSize(S,J,!1))};this.getSize=function(a){void 0===a&&(console.warn(&quot;WebGLRenderer: .getsize() now requires a Vector2 as an argument&quot;),a=new t);return a.set(S,J)};this.setSize=function(a,b,c){ua.isPresenting?console.warn(&quot;THREE.WebGLRenderer: Can't change size while VR device is presenting.&quot;):(S=a,J=b,v.width=Math.floor(a*Q),v.height=Math.floor(b*Q),!1!==c&&(v.style.width=a+&quot;px&quot;,v.style.height=b+&quot;px&quot;),this.setViewport(0,0,a,b))};this.getDrawingBufferSize=function(a){void 0===\n",
       "a&&(console.warn(&quot;WebGLRenderer: .getdrawingBufferSize() now requires a Vector2 as an argument&quot;),a=new t);return a.set(S*Q,J*Q).floor()};this.setDrawingBufferSize=function(a,b,c){S=a;J=b;Q=c;v.width=Math.floor(a*c);v.height=Math.floor(b*c);this.setViewport(0,0,a,b)};this.getCurrentViewport=function(a){void 0===a&&(console.warn(&quot;WebGLRenderer: .getCurrentViewport() now requires a Vector4 as an argument&quot;),a=new ka);return a.copy(Z)};this.getViewport=function(a){return a.copy(R)};this.setViewport=function(a,\n",
       "b,c,d){a.isVector4?R.set(a.x,a.y,a.z,a.w):R.set(a,b,c,d);Y.viewport(Z.copy(R).multiplyScalar(Q).floor())};this.getScissor=function(a){return a.copy(ja)};this.setScissor=function(a,b,c,d){a.isVector4?ja.set(a.x,a.y,a.z,a.w):ja.set(a,b,c,d);Y.scissor(T.copy(ja).multiplyScalar(Q).floor())};this.getScissorTest=function(){return kg};this.setScissorTest=function(a){Y.setScissorTest(kg=a)};this.setOpaqueSort=function(a){la=a};this.setTransparentSort=function(a){ma=a};this.getClearColor=function(){return pa.getClearColor()};\n",
       "this.setClearColor=function(){pa.setClearColor.apply(pa,arguments)};this.getClearAlpha=function(){return pa.getClearAlpha()};this.setClearAlpha=function(){pa.setClearAlpha.apply(pa,arguments)};this.clear=function(a,b,c){var d=0;if(void 0===a||a)d|=16384;if(void 0===b||b)d|=256;if(void 0===c||c)d|=1024;I.clear(d)};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(){v.removeEventListener(&quot;webglcontextlost&quot;,\n",
       "d,!1);v.removeEventListener(&quot;webglcontextrestored&quot;,e,!1);wa.dispose();va.dispose();X.dispose();sa.dispose();ua.dispose();za.stop();this.forceContextLoss()};this.renderBufferImmediate=function(a,b){Y.initAttributes();var c=X.get(a);a.hasPositions&&!c.position&&(c.position=I.createBuffer());a.hasNormals&&!c.normal&&(c.normal=I.createBuffer());a.hasUvs&&!c.uv&&(c.uv=I.createBuffer());a.hasColors&&!c.color&&(c.color=I.createBuffer());b=b.getAttributes();a.hasPositions&&(I.bindBuffer(34962,c.position),\n",
       "I.bufferData(34962,a.positionArray,35048),Y.enableAttribute(b.position),I.vertexAttribPointer(b.position,3,5126,!1,0,0));a.hasNormals&&(I.bindBuffer(34962,c.normal),I.bufferData(34962,a.normalArray,35048),Y.enableAttribute(b.normal),I.vertexAttribPointer(b.normal,3,5126,!1,0,0));a.hasUvs&&(I.bindBuffer(34962,c.uv),I.bufferData(34962,a.uvArray,35048),Y.enableAttribute(b.uv),I.vertexAttribPointer(b.uv,2,5126,!1,0,0));a.hasColors&&(I.bindBuffer(34962,c.color),I.bufferData(34962,a.colorArray,35048),Y.enableAttribute(b.color),\n",
       "I.vertexAttribPointer(b.color,3,5126,!1,0,0));Y.disableUnusedAttributes();I.drawArrays(4,0,a.count);a.count=0};var Ga=new ob;this.renderBufferDirect=function(a,c,d,e,f,g){null===c&&(c=Ga);var h=f.isMesh&&0>f.matrixWorld.determinant(),l=x(a,c,e,f);Y.setMaterial(e,h);var m=!1;if(b!==d.id||fa!==l.id||Oe!==(!0===e.wireframe))b=d.id,fa=l.id,Oe=!0===e.wireframe,m=!0;if(e.morphTargets||e.morphNormals)ya.update(f,d,e,l),m=!0;a=d.index;c=d.attributes.position;if(null===a){if(void 0===c||0===c.count)return}else if(0===\n",
       "a.count)return;var u=1;!0===e.wireframe&&(a=xa.getWireframeAttribute(d),u=2);h=Aa;if(null!==a){var p=oa.get(a);h=Ba;h.setIndex(p)}if(m){if(!1!==Fa.isWebGL2||!f.isInstancedMesh&&!d.isInstancedBufferGeometry||null!==ra.get(&quot;ANGLE_instanced_arrays&quot;)){Y.initAttributes();m=d.attributes;l=l.getAttributes();var k=e.defaultAttributeValues;for(ha in l){var q=l[ha];if(0<=q){var r=m[ha];if(void 0!==r){var n=r.normalized,v=r.itemSize,w=oa.get(r);if(void 0!==w){var E=w.buffer,z=w.type;w=w.bytesPerElement;if(r.isInterleavedBufferAttribute){var B=\n",
       "r.data,t=B.stride;r=r.offset;B&&B.isInstancedInterleavedBuffer?(Y.enableAttributeAndDivisor(q,B.meshPerAttribute),void 0===d.maxInstancedCount&&(d.maxInstancedCount=B.meshPerAttribute*B.count)):Y.enableAttribute(q);I.bindBuffer(34962,E);I.vertexAttribPointer(q,v,z,n,t*w,r*w)}else r.isInstancedBufferAttribute?(Y.enableAttributeAndDivisor(q,r.meshPerAttribute),void 0===d.maxInstancedCount&&(d.maxInstancedCount=r.meshPerAttribute*r.count)):Y.enableAttribute(q),I.bindBuffer(34962,E),I.vertexAttribPointer(q,\n",
       "v,z,n,0,0)}}else if(&quot;instanceMatrix&quot;===ha)w=oa.get(f.instanceMatrix),void 0!==w&&(E=w.buffer,z=w.type,Y.enableAttributeAndDivisor(q+0,1),Y.enableAttributeAndDivisor(q+1,1),Y.enableAttributeAndDivisor(q+2,1),Y.enableAttributeAndDivisor(q+3,1),I.bindBuffer(34962,E),I.vertexAttribPointer(q+0,4,z,!1,64,0),I.vertexAttribPointer(q+1,4,z,!1,64,16),I.vertexAttribPointer(q+2,4,z,!1,64,32),I.vertexAttribPointer(q+3,4,z,!1,64,48));else if(void 0!==k&&(n=k[ha],void 0!==n))switch(n.length){case 2:I.vertexAttrib2fv(q,\n",
       "n);break;case 3:I.vertexAttrib3fv(q,n);break;case 4:I.vertexAttrib4fv(q,n);break;default:I.vertexAttrib1fv(q,n)}}}Y.disableUnusedAttributes()}null!==a&&I.bindBuffer(34963,p.buffer)}var ha=d.drawRange.start*u;m=null!==g?g.start*u:0;p=Math.max(ha,m);g=Math.max(0,Math.min(null!==a?a.count:c.count,ha+d.drawRange.count*u,m+(null!==g?g.count*u:Infinity))-1-p+1);0!==g&&(f.isMesh?!0===e.wireframe?(Y.setLineWidth(e.wireframeLinewidth*(null===O?Q:1)),h.setMode(1)):h.setMode(4):f.isLine?(e=e.linewidth,void 0===\n",
       "e&&(e=1),Y.setLineWidth(e*(null===O?Q:1)),f.isLineSegments?h.setMode(1):f.isLineLoop?h.setMode(2):h.setMode(3)):f.isPoints?h.setMode(0):f.isSprite&&h.setMode(4),f.isInstancedMesh?h.renderInstances(d,p,g,f.count):d.isInstancedBufferGeometry?h.renderInstances(d,p,g,d.maxInstancedCount):h.render(p,g))};this.compile=function(a,b){A=va.get(a,b);A.init();a.traverse(function(a){a.isLight&&(A.pushLight(a),a.castShadow&&A.pushShadow(a))});A.setupLights(b);var c={};a.traverse(function(b){if(b.material)if(Array.isArray(b.material))for(var d=\n",
       "0;d<b.material.length;d++)!1===b.material[d].uuid in c&&(p(b.material[d],a,b),c[b.material[d].uuid]=!0);else!1===b.material.uuid in c&&(p(b.material,a,b),c[b.material.uuid]=!0)})};var Da=null,za=new Ah;za.setAnimationLoop(function(a){ua.isPresenting||Da&&Da(a)});&quot;undefined&quot;!==typeof window&&za.setContext(window);this.setAnimationLoop=function(a){Da=a;ua.setAnimationLoop(a);za.start()};this.render=function(a,c,d,e){if(void 0!==d){console.warn(&quot;THREE.WebGLRenderer.render(): the renderTarget argument has been removed. Use .setRenderTarget() instead.&quot;);\n",
       "var f=d}if(void 0!==e){console.warn(&quot;THREE.WebGLRenderer.render(): the forceClear argument has been removed. Use .clear() instead.&quot;);var g=e}c&&c.isCamera?G||(fa=b=null,Oe=!1,Ne=-1,V=null,!0===a.autoUpdate&&a.updateMatrixWorld(),null===c.parent&&c.updateMatrixWorld(),ua.enabled&&ua.isPresenting&&(c=ua.getCamera(c)),A=va.get(a,c),A.init(),a.onBeforeRender(H,a,c,f||O),Md.multiplyMatrices(c.projectionMatrix,c.matrixWorldInverse),lg.setFromProjectionMatrix(Md),mg=this.localClippingEnabled,na=Ua.init(this.clippingPlanes,\n",
       "mg,c),C=wa.get(a,c),C.init(),l(a,c,0,H.sortObjects),C.finish(),!0===H.sortObjects&&C.sort(la,ma),na&&Ua.beginShadows(),Ea.render(A.state.shadowsArray,a,c),A.setupLights(c),na&&Ua.endShadows(),this.info.autoReset&&this.info.reset(),void 0!==f&&this.setRenderTarget(f),pa.render(C,a,c,g),d=C.opaque,e=C.transparent,a.overrideMaterial?(f=a.overrideMaterial,d.length&&m(d,a,c,f),e.length&&m(e,a,c,f)):(d.length&&m(d,a,c),e.length&&m(e,a,c)),a.onAfterRender(H,a,c),null!==O&&(ea.updateRenderTargetMipmap(O),\n",
       "ea.updateMultisampleRenderTarget(O)),Y.buffers.depth.setTest(!0),Y.buffers.depth.setMask(!0),Y.buffers.color.setMask(!0),Y.setPolygonOffset(!1),A=C=null):console.error(&quot;THREE.WebGLRenderer.render: camera is not an instance of THREE.Camera.&quot;)};this.setFramebuffer=function(a){M!==a&&null===O&&I.bindFramebuffer(36160,a);M=a};this.getActiveCubeFace=function(){return N};this.getActiveMipmapLevel=function(){return K};this.getRenderTarget=function(){return O};this.setRenderTarget=function(a,b,c){O=a;N=b;\n",
       "K=c;a&&void 0===X.get(a).__webglFramebuffer&&ea.setupRenderTarget(a);var d=M,e=!1;a?(d=X.get(a).__webglFramebuffer,a.isWebGLCubeRenderTarget?(d=d[b||0],e=!0):d=a.isWebGLMultisampleRenderTarget?X.get(a).__webglMultisampledFramebuffer:d,Z.copy(a.viewport),T.copy(a.scissor),da=a.scissorTest):(Z.copy(R).multiplyScalar(Q).floor(),T.copy(ja).multiplyScalar(Q).floor(),da=kg);W!==d&&(I.bindFramebuffer(36160,d),W=d);Y.viewport(Z);Y.scissor(T);Y.setScissorTest(da);e&&(a=X.get(a.texture),I.framebufferTexture2D(36160,\n",
       "36064,34069+(b||0),a.__webglTexture,c||0))};this.readRenderTargetPixels=function(a,b,c,d,e,f,g){if(a&&a.isWebGLRenderTarget){var h=X.get(a).__webglFramebuffer;a.isWebGLCubeRenderTarget&&void 0!==g&&(h=h[g]);if(h){g=!1;h!==W&&(I.bindFramebuffer(36160,h),g=!0);try{var l=a.texture,m=l.format,u=l.type;1023!==m&&qa.convert(m)!==I.getParameter(35739)?console.error(&quot;THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in RGBA or implementation defined format.&quot;):1009===u||qa.convert(u)===I.getParameter(35738)||\n",
       "1015===u&&(Fa.isWebGL2||ra.get(&quot;OES_texture_float&quot;)||ra.get(&quot;WEBGL_color_buffer_float&quot;))||1016===u&&(Fa.isWebGL2?ra.get(&quot;EXT_color_buffer_float&quot;):ra.get(&quot;EXT_color_buffer_half_float&quot;))?36053===I.checkFramebufferStatus(36160)?0<=b&&b<=a.width-d&&0<=c&&c<=a.height-e&&I.readPixels(b,c,d,e,qa.convert(m),qa.convert(u),f):console.error(&quot;THREE.WebGLRenderer.readRenderTargetPixels: readPixels from renderTarget failed. Framebuffer not complete.&quot;):console.error(&quot;THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in UnsignedByteType or implementation defined type.&quot;)}finally{g&&\n",
       "I.bindFramebuffer(36160,W)}}}else console.error(&quot;THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.&quot;)};this.copyFramebufferToTexture=function(a,b,c){void 0===c&&(c=0);var d=Math.pow(2,-c),e=Math.floor(b.image.width*d);d=Math.floor(b.image.height*d);var f=qa.convert(b.format);ea.setTexture2D(b,0);I.copyTexImage2D(3553,c,f,a.x,a.y,e,d,0);Y.unbindTexture()};this.copyTextureToTexture=function(a,b,c,d){var e=b.image.width,f=b.image.height,g=qa.convert(c.format),h=\n",
       "qa.convert(c.type);ea.setTexture2D(c,0);b.isDataTexture?I.texSubImage2D(3553,d||0,a.x,a.y,e,f,g,h,b.image.data):I.texSubImage2D(3553,d||0,a.x,a.y,g,h,b.image);Y.unbindTexture()};this.initTexture=function(a){ea.setTexture2D(a,0);Y.unbindTexture()};&quot;undefined&quot;!==typeof __THREE_DEVTOOLS__&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent(&quot;observe&quot;,{detail:this}))}function Qe(a,b){this.name=&quot;&quot;;this.color=new A(a);this.density=void 0!==b?b:2.5E-4}function Re(a,b,c){this.name=&quot;&quot;;this.color=new A(a);this.near=\n",
       "void 0!==b?b:1;this.far=void 0!==c?c:1E3}function rb(a,b){this.array=a;this.stride=b;this.count=void 0!==a?a.length/b:0;this.usage=35044;this.updateRange={offset:0,count:-1};this.version=0}function Od(a,b,c,d){this.data=a;this.itemSize=b;this.offset=c;this.normalized=!0===d}function Ib(a){K.call(this);this.type=&quot;SpriteMaterial&quot;;this.color=new A(16777215);this.alphaMap=this.map=null;this.rotation=0;this.transparent=this.sizeAttenuation=!0;this.setValues(a)}function Pd(a){F.call(this);this.type=&quot;Sprite&quot;;\n",
       "if(void 0===Nc){Nc=new C;var b=new Float32Array([-.5,-.5,0,0,0,.5,-.5,0,1,0,.5,.5,0,1,1,-.5,.5,0,0,1]);b=new rb(b,5);Nc.setIndex([0,1,2,0,2,3]);Nc.setAttribute(&quot;position&quot;,new Od(b,3,0,!1));Nc.setAttribute(&quot;uv&quot;,new Od(b,2,3,!1))}this.geometry=Nc;this.material=void 0!==a?a:new Ib;this.center=new t(.5,.5)}function Se(a,b,c,d,e,f){Oc.subVectors(a,c).addScalar(.5).multiply(d);void 0!==e?(Qd.x=f*Oc.x-e*Oc.y,Qd.y=e*Oc.x+f*Oc.y):Qd.copy(Oc);a.copy(b);a.x+=Qd.x;a.y+=Qd.y;a.applyMatrix4(bi)}function Rd(){F.call(this);\n",
       "this._currentLevel=0;this.type=&quot;LOD&quot;;Object.defineProperties(this,{levels:{enumerable:!0,value:[]}});this.autoUpdate=!0}function Te(a,b){a&&a.isGeometry&&console.error(&quot;THREE.SkinnedMesh no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.&quot;);S.call(this,a,b);this.type=&quot;SkinnedMesh&quot;;this.bindMode=&quot;attached&quot;;this.bindMatrix=new P;this.bindMatrixInverse=new P}function Ue(a,b){a=a||[];this.bones=a.slice(0);this.boneMatrices=new Float32Array(16*this.bones.length);this.frame=-1;if(void 0===\n",
       "b)this.calculateInverses();else if(this.bones.length===b.length)this.boneInverses=b.slice(0);else for(console.warn(&quot;THREE.Skeleton boneInverses is the wrong length.&quot;),this.boneInverses=[],a=0,b=this.bones.length;a<b;a++)this.boneInverses.push(new P)}function pg(){F.call(this);this.type=&quot;Bone&quot;}function Ve(a,b,c){S.call(this,a,b);this.instanceMatrix=new M(new Float32Array(16*c),16);this.count=c;this.frustumCulled=!1}function la(a){K.call(this);this.type=&quot;LineBasicMaterial&quot;;this.color=new A(16777215);\n",
       "this.linewidth=1;this.linejoin=this.linecap=&quot;round&quot;;this.setValues(a)}function Ka(a,b,c){1===c&&console.error(&quot;THREE.Line: parameter THREE.LinePieces no longer supported. Use THREE.LineSegments instead.&quot;);F.call(this);this.type=&quot;Line&quot;;this.geometry=void 0!==a?a:new C;this.material=void 0!==b?b:new la}function ma(a,b){Ka.call(this,a,b);this.type=&quot;LineSegments&quot;}function We(a,b){Ka.call(this,a,b);this.type=&quot;LineLoop&quot;}function Va(a){K.call(this);this.type=&quot;PointsMaterial&quot;;this.color=new A(16777215);this.alphaMap=\n",
       "this.map=null;this.size=1;this.sizeAttenuation=!0;this.morphTargets=!1;this.setValues(a)}function Pc(a,b){F.call(this);this.type=&quot;Points&quot;;this.geometry=void 0!==a?a:new C;this.material=void 0!==b?b:new Va;this.updateMorphTargets()}function qg(a,b,c,d,e,f,g){var h=rg.distanceSqToPoint(a);h<c&&(c=new n,rg.closestPointToPoint(a,c),c.applyMatrix4(d),a=e.ray.origin.distanceTo(c),a<e.near||a>e.far||f.push({distance:a,distanceToRay:Math.sqrt(h),point:c,index:b,face:null,object:g}))}function sg(a,b,c,d,e,\n",
       "f,g,h,l){V.call(this,a,b,c,d,e,f,g,h,l);this.format=void 0!==g?g:1022;this.minFilter=void 0!==f?f:1006;this.magFilter=void 0!==e?e:1006;this.generateMipmaps=!1}function Qc(a,b,c,d,e,f,g,h,l,m,u,p){V.call(this,null,f,g,h,l,m,d,e,u,p);this.image={width:b,height:c};this.mipmaps=a;this.generateMipmaps=this.flipY=!1}function Sd(a,b,c,d,e,f,g,h,l){V.call(this,a,b,c,d,e,f,g,h,l);this.needsUpdate=!0}function Td(a,b,c,d,e,f,g,h,l,m){m=void 0!==m?m:1026;if(1026!==m&&1027!==m)throw Error(&quot;DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat&quot;);\n",
       "void 0===c&&1026===m&&(c=1012);void 0===c&&1027===m&&(c=1020);V.call(this,null,d,e,f,g,h,m,c,l);this.image={width:a,height:b};this.magFilter=void 0!==g?g:1003;this.minFilter=void 0!==h?h:1003;this.generateMipmaps=this.flipY=!1}function Rc(a){C.call(this);this.type=&quot;WireframeGeometry&quot;;var b=[],c,d,e,f=[0,0],g={},h=[&quot;a&quot;,&quot;b&quot;,&quot;c&quot;];if(a&&a.isGeometry){var l=a.faces;var m=0;for(d=l.length;m<d;m++){var u=l[m];for(c=0;3>c;c++){var p=u[h[c]];var k=u[h[(c+1)%3]];f[0]=Math.min(p,k);f[1]=Math.max(p,k);p=f[0]+\n",
       "&quot;,&quot;+f[1];void 0===g[p]&&(g[p]={index1:f[0],index2:f[1]})}}for(p in g)m=g[p],h=a.vertices[m.index1],b.push(h.x,h.y,h.z),h=a.vertices[m.index2],b.push(h.x,h.y,h.z)}else if(a&&a.isBufferGeometry)if(h=new n,null!==a.index){l=a.attributes.position;u=a.index;var r=a.groups;0===r.length&&(r=[{start:0,count:u.count,materialIndex:0}]);a=0;for(e=r.length;a<e;++a)for(m=r[a],c=m.start,d=m.count,m=c,d=c+d;m<d;m+=3)for(c=0;3>c;c++)p=u.getX(m+c),k=u.getX(m+(c+1)%3),f[0]=Math.min(p,k),f[1]=Math.max(p,k),p=f[0]+&quot;,&quot;+\n",
       "f[1],void 0===g[p]&&(g[p]={index1:f[0],index2:f[1]});for(p in g)m=g[p],h.fromBufferAttribute(l,m.index1),b.push(h.x,h.y,h.z),h.fromBufferAttribute(l,m.index2),b.push(h.x,h.y,h.z)}else for(l=a.attributes.position,m=0,d=l.count/3;m<d;m++)for(c=0;3>c;c++)g=3*m+c,h.fromBufferAttribute(l,g),b.push(h.x,h.y,h.z),g=3*m+(c+1)%3,h.fromBufferAttribute(l,g),b.push(h.x,h.y,h.z);this.setAttribute(&quot;position&quot;,new y(b,3))}function Ud(a,b,c){N.call(this);this.type=&quot;ParametricGeometry&quot;;this.parameters={func:a,slices:b,\n",
       "stacks:c};this.fromBufferGeometry(new Sc(a,b,c));this.mergeVertices()}function Sc(a,b,c){C.call(this);this.type=&quot;ParametricBufferGeometry&quot;;this.parameters={func:a,slices:b,stacks:c};var d=[],e=[],f=[],g=[],h=new n,l=new n,m=new n,u=new n,p=new n,k,r;3>a.length&&console.error(&quot;THREE.ParametricGeometry: Function must now modify a Vector3 as third parameter.&quot;);var q=b+1;for(k=0;k<=c;k++){var v=k/c;for(r=0;r<=b;r++){var E=r/b;a(E,v,l);e.push(l.x,l.y,l.z);0<=E-1E-5?(a(E-1E-5,v,m),u.subVectors(l,m)):(a(E+\n",
       "1E-5,v,m),u.subVectors(m,l));0<=v-1E-5?(a(E,v-1E-5,m),p.subVectors(l,m)):(a(E,v+1E-5,m),p.subVectors(m,l));h.crossVectors(u,p).normalize();f.push(h.x,h.y,h.z);g.push(E,v)}}for(k=0;k<c;k++)for(r=0;r<b;r++)a=k*q+r+1,h=(k+1)*q+r+1,l=(k+1)*q+r,d.push(k*q+r,a,l),d.push(a,h,l);this.setIndex(d);this.setAttribute(&quot;position&quot;,new y(e,3));this.setAttribute(&quot;normal&quot;,new y(f,3));this.setAttribute(&quot;uv&quot;,new y(g,2))}function Vd(a,b,c,d){N.call(this);this.type=&quot;PolyhedronGeometry&quot;;this.parameters={vertices:a,indices:b,\n",
       "radius:c,detail:d};this.fromBufferGeometry(new Ga(a,b,c,d));this.mergeVertices()}function Ga(a,b,c,d){function e(a){h.push(a.x,a.y,a.z)}function f(b,c){b*=3;c.x=a[b+0];c.y=a[b+1];c.z=a[b+2]}function g(a,b,c,d){0>d&&1===a.x&&(l[b]=a.x-1);0===c.x&&0===c.z&&(l[b]=d/2/Math.PI+.5)}C.call(this);this.type=&quot;PolyhedronBufferGeometry&quot;;this.parameters={vertices:a,indices:b,radius:c,detail:d};c=c||1;d=d||0;var h=[],l=[];(function(a){for(var c=new n,d=new n,g=new n,h=0;h<b.length;h+=3){f(b[h+0],c);f(b[h+1],d);\n",
       "f(b[h+2],g);var l,m,k=c,w=d,z=g,t=Math.pow(2,a),U=[];for(m=0;m<=t;m++){U[m]=[];var ca=k.clone().lerp(z,m/t),B=w.clone().lerp(z,m/t),A=t-m;for(l=0;l<=A;l++)U[m][l]=0===l&&m===t?ca:ca.clone().lerp(B,l/A)}for(m=0;m<t;m++)for(l=0;l<2*(t-m)-1;l++)k=Math.floor(l/2),0===l%2?(e(U[m][k+1]),e(U[m+1][k]),e(U[m][k])):(e(U[m][k+1]),e(U[m+1][k+1]),e(U[m+1][k]))}})(d);(function(a){for(var b=new n,c=0;c<h.length;c+=3)b.x=h[c+0],b.y=h[c+1],b.z=h[c+2],b.normalize().multiplyScalar(a),h[c+0]=b.x,h[c+1]=b.y,h[c+2]=b.z})(c);\n",
       "(function(){for(var a=new n,b=0;b<h.length;b+=3)a.x=h[b+0],a.y=h[b+1],a.z=h[b+2],l.push(Math.atan2(a.z,-a.x)/2/Math.PI+.5,1-(Math.atan2(-a.y,Math.sqrt(a.x*a.x+a.z*a.z))/Math.PI+.5));a=new n;b=new n;for(var c=new n,d=new n,e=new t,f=new t,k=new t,E=0,w=0;E<h.length;E+=9,w+=6){a.set(h[E+0],h[E+1],h[E+2]);b.set(h[E+3],h[E+4],h[E+5]);c.set(h[E+6],h[E+7],h[E+8]);e.set(l[w+0],l[w+1]);f.set(l[w+2],l[w+3]);k.set(l[w+4],l[w+5]);d.copy(a).add(b).add(c).divideScalar(3);var z=Math.atan2(d.z,-d.x);g(e,w+0,a,z);\n",
       "g(f,w+2,b,z);g(k,w+4,c,z)}for(a=0;a<l.length;a+=6)b=l[a+0],c=l[a+2],d=l[a+4],e=Math.min(b,c,d),.9<Math.max(b,c,d)&&.1>e&&(.2>b&&(l[a+0]+=1),.2>c&&(l[a+2]+=1),.2>d&&(l[a+4]+=1))})();this.setAttribute(&quot;position&quot;,new y(h,3));this.setAttribute(&quot;normal&quot;,new y(h.slice(),3));this.setAttribute(&quot;uv&quot;,new y(l,2));0===d?this.computeVertexNormals():this.normalizeNormals()}function Wd(a,b){N.call(this);this.type=&quot;TetrahedronGeometry&quot;;this.parameters={radius:a,detail:b};this.fromBufferGeometry(new Tc(a,b));this.mergeVertices()}\n",
       "function Tc(a,b){Ga.call(this,[1,1,1,-1,-1,1,-1,1,-1,1,-1,-1],[2,1,0,0,3,2,1,3,0,2,3,1],a,b);this.type=&quot;TetrahedronBufferGeometry&quot;;this.parameters={radius:a,detail:b}}function Xd(a,b){N.call(this);this.type=&quot;OctahedronGeometry&quot;;this.parameters={radius:a,detail:b};this.fromBufferGeometry(new cc(a,b));this.mergeVertices()}function cc(a,b){Ga.call(this,[1,0,0,-1,0,0,0,1,0,0,-1,0,0,0,1,0,0,-1],[0,2,4,0,4,3,0,3,5,0,5,2,1,2,5,1,5,3,1,3,4,1,4,2],a,b);this.type=&quot;OctahedronBufferGeometry&quot;;this.parameters=\n",
       "{radius:a,detail:b}}function Yd(a,b){N.call(this);this.type=&quot;IcosahedronGeometry&quot;;this.parameters={radius:a,detail:b};this.fromBufferGeometry(new Uc(a,b));this.mergeVertices()}function Uc(a,b){var c=(1+Math.sqrt(5))/2;Ga.call(this,[-1,c,0,1,c,0,-1,-c,0,1,-c,0,0,-1,c,0,1,c,0,-1,-c,0,1,-c,c,0,-1,c,0,1,-c,0,-1,-c,0,1],[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],a,b);this.type=&quot;IcosahedronBufferGeometry&quot;;this.parameters=\n",
       "{radius:a,detail:b}}function Zd(a,b){N.call(this);this.type=&quot;DodecahedronGeometry&quot;;this.parameters={radius:a,detail:b};this.fromBufferGeometry(new Vc(a,b));this.mergeVertices()}function Vc(a,b){var c=(1+Math.sqrt(5))/2,d=1/c;Ga.call(this,[-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,-d,-c,0,-d,c,0,d,-c,0,d,c,-d,-c,0,-d,c,0,d,-c,0,d,c,0,-c,0,-d,c,0,-d,-c,0,d,c,0,d],[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,\n",
       "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],a,b);this.type=&quot;DodecahedronBufferGeometry&quot;;this.parameters={radius:a,detail:b}}function $d(a,b,c,d,e,f){N.call(this);this.type=&quot;TubeGeometry&quot;;this.parameters={path:a,tubularSegments:b,radius:c,radialSegments:d,closed:e};void 0!==f&&console.warn(&quot;THREE.TubeGeometry: taper has been removed.&quot;);a=new dc(a,b,c,d,e);this.tangents=a.tangents;this.normals=\n",
       "a.normals;this.binormals=a.binormals;this.fromBufferGeometry(a);this.mergeVertices()}function dc(a,b,c,d,e){function f(e){u=a.getPointAt(e/b,u);var f=g.normals[e];e=g.binormals[e];for(x=0;x<=d;x++){var m=x/d*Math.PI*2,k=Math.sin(m);m=-Math.cos(m);l.x=m*f.x+k*e.x;l.y=m*f.y+k*e.y;l.z=m*f.z+k*e.z;l.normalize();q.push(l.x,l.y,l.z);h.x=u.x+c*l.x;h.y=u.y+c*l.y;h.z=u.z+c*l.z;r.push(h.x,h.y,h.z)}}C.call(this);this.type=&quot;TubeBufferGeometry&quot;;this.parameters={path:a,tubularSegments:b,radius:c,radialSegments:d,\n",
       "closed:e};b=b||64;c=c||1;d=d||8;e=e||!1;var g=a.computeFrenetFrames(b,e);this.tangents=g.tangents;this.normals=g.normals;this.binormals=g.binormals;var h=new n,l=new n,m=new t,u=new n,k,x,r=[],q=[],v=[],E=[];for(k=0;k<b;k++)f(k);f(!1===e?b:0);for(k=0;k<=b;k++)for(x=0;x<=d;x++)m.x=k/b,m.y=x/d,v.push(m.x,m.y);(function(){for(x=1;x<=b;x++)for(k=1;k<=d;k++){var a=(d+1)*x+(k-1),c=(d+1)*x+k,e=(d+1)*(x-1)+k;E.push((d+1)*(x-1)+(k-1),a,e);E.push(a,c,e)}})();this.setIndex(E);this.setAttribute(&quot;position&quot;,new y(r,\n",
       "3));this.setAttribute(&quot;normal&quot;,new y(q,3));this.setAttribute(&quot;uv&quot;,new y(v,2))}function ae(a,b,c,d,e,f,g){N.call(this);this.type=&quot;TorusKnotGeometry&quot;;this.parameters={radius:a,tube:b,tubularSegments:c,radialSegments:d,p:e,q:f};void 0!==g&&console.warn(&quot;THREE.TorusKnotGeometry: heightScale has been deprecated. Use .scale( x, y, z ) instead.&quot;);this.fromBufferGeometry(new Wc(a,b,c,d,e,f));this.mergeVertices()}function Wc(a,b,c,d,e,f){function g(a,b,c,d,e){var f=Math.sin(a);b=c/b*a;c=Math.cos(b);e.x=d*\n",
       "(2+c)*.5*Math.cos(a);e.y=d*(2+c)*f*.5;e.z=d*Math.sin(b)*.5}C.call(this);this.type=&quot;TorusKnotBufferGeometry&quot;;this.parameters={radius:a,tube:b,tubularSegments:c,radialSegments:d,p:e,q:f};a=a||1;b=b||.4;c=Math.floor(c)||64;d=Math.floor(d)||8;e=e||2;f=f||3;var h=[],l=[],m=[],k=[],p,x=new n,r=new n,q=new n,v=new n,E=new n,w=new n,z=new n;for(p=0;p<=c;++p){var t=p/c*e*Math.PI*2;g(t,e,f,a,q);g(t+.01,e,f,a,v);w.subVectors(v,q);z.addVectors(v,q);E.crossVectors(w,z);z.crossVectors(E,w);E.normalize();z.normalize();\n",
       "for(t=0;t<=d;++t){var U=t/d*Math.PI*2,ca=-b*Math.cos(U);U=b*Math.sin(U);x.x=q.x+(ca*z.x+U*E.x);x.y=q.y+(ca*z.y+U*E.y);x.z=q.z+(ca*z.z+U*E.z);l.push(x.x,x.y,x.z);r.subVectors(x,q).normalize();m.push(r.x,r.y,r.z);k.push(p/c);k.push(t/d)}}for(t=1;t<=c;t++)for(p=1;p<=d;p++)a=(d+1)*t+(p-1),b=(d+1)*t+p,e=(d+1)*(t-1)+p,h.push((d+1)*(t-1)+(p-1),a,e),h.push(a,b,e);this.setIndex(h);this.setAttribute(&quot;position&quot;,new y(l,3));this.setAttribute(&quot;normal&quot;,new y(m,3));this.setAttribute(&quot;uv&quot;,new y(k,2))}function be(a,\n",
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       "g=0,h=b,l=c-d;h<c;h+=d)g+=(a[l]-a[h])*(a[h+1]+a[l+1]),l=h;if(e===0<g)for(e=b;e<c;e+=d)f=di(e,a[e],a[e+1],f);else for(e=c-d;e>=b;e-=d)f=di(e,a[e],a[e+1],f);f&&ec(f,f.next)&&(ce(f),f=f.next);return f}function de(a,b){if(!a)return a;b||(b=a);do{var c=!1;if(a.steiner||!ec(a,a.next)&&0!==xa(a.prev,a,a.next))a=a.next;else{ce(a);a=b=a.prev;if(a===a.next)break;c=!0}}while(c||a!==b);return b}function ee(a,b,c,d,e,f,g){if(a){if(!g&&f){var h=a,l=h;do null===l.z&&(l.z=tg(l.x,l.y,d,e,f)),l.prevZ=l.prev,l=l.nextZ=\n",
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       "e.x>f.x?e.x:f.x:a.x>f.x?a.x:f.x,h=e.y>a.y?e.y>f.y?e.y:f.y:a.y>f.y?a.y:f.y,l=tg(e.x<a.x?e.x<f.x?e.x:f.x:a.x<f.x?a.x:f.x,e.y<a.y?e.y<f.y?e.y:f.y:a.y<f.y?a.y:f.y,b,c,d);b=tg(g,h,b,c,d);c=a.prevZ;for(d=a.nextZ;c&&c.z>=l&&d&&d.z<=b;){if(c!==a.prev&&c!==a.next&&Yc(e.x,e.y,a.x,a.y,f.x,f.y,c.x,c.y)&&0<=xa(c.prev,c,c.next))return!1;c=c.prevZ;if(d!==a.prev&&d!==a.next&&Yc(e.x,e.y,a.x,a.y,f.x,f.y,d.x,d.y)&&0<=xa(d.prev,d,d.next))return!1;d=d.nextZ}for(;c&&c.z>=l;){if(c!==a.prev&&c!==a.next&&Yc(e.x,e.y,a.x,a.y,\n",
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       "if(d===f)return h.prev;b=h;g=h.x;var l=h.y,m=Infinity;for(c=h.next;c!==b;){if(d>=c.x&&c.x>=g&&d!==c.x&&Yc(e<l?d:f,e,g,l,e<l?f:d,e,c.x,c.y)){var k=Math.abs(e-c.y)/(d-c.x);(k<m||k===m&&c.x>h.x)&&fe(c,a)&&(h=c,m=k)}c=c.next}return h}function tg(a,b,c,d,e){a=32767*(a-c)*e;b=32767*(b-d)*e;a=(a|a<<8)&16711935;a=(a|a<<4)&252645135;a=(a|a<<2)&858993459;b=(b|b<<8)&16711935;b=(b|b<<4)&252645135;b=(b|b<<2)&858993459;return(a|a<<1)&1431655765|((b|b<<1)&1431655765)<<1}function Nk(a){var b=a,c=a;do{if(b.x<c.x||\n",
       "b.x===c.x&&b.y<c.y)c=b;b=b.next}while(b!==a);return c}function Yc(a,b,c,d,e,f,g,h){return 0<=(e-g)*(b-h)-(a-g)*(f-h)&&0<=(a-g)*(d-h)-(c-g)*(b-h)&&0<=(c-g)*(f-h)-(e-g)*(d-h)}function xa(a,b,c){return(b.y-a.y)*(c.x-b.x)-(b.x-a.x)*(c.y-b.y)}function ec(a,b){return a.x===b.x&&a.y===b.y}function ei(a,b,c,d){return ec(a,c)&&ec(b,d)||ec(a,d)&&ec(c,b)?!0:0<xa(a,b,c)!==0<xa(a,b,d)&&0<xa(c,d,a)!==0<xa(c,d,b)}function fe(a,b){return 0>xa(a.prev,a,a.next)?0<=xa(a,b,a.next)&&0<=xa(a,a.prev,b):0>xa(a,b,a.prev)||\n",
       "0>xa(a,a.next,b)}function fi(a,b){var c=new ug(a.i,a.x,a.y),d=new ug(b.i,b.x,b.y),e=a.next,f=b.prev;a.next=b;b.prev=a;c.next=e;e.prev=c;d.next=c;c.prev=d;f.next=d;d.prev=f;return d}function di(a,b,c,d){a=new ug(a,b,c);d?(a.next=d.next,a.prev=d,d.next.prev=a,d.next=a):(a.prev=a,a.next=a);return a}function ce(a){a.next.prev=a.prev;a.prev.next=a.next;a.prevZ&&(a.prevZ.nextZ=a.nextZ);a.nextZ&&(a.nextZ.prevZ=a.prevZ)}function ug(a,b,c){this.i=a;this.x=b;this.y=c;this.nextZ=this.prevZ=this.z=this.next=\n",
       "this.prev=null;this.steiner=!1}function gi(a){var b=a.length;2<b&&a[b-1].equals(a[0])&&a.pop()}function hi(a,b){for(var c=0;c<b.length;c++)a.push(b[c].x),a.push(b[c].y)}function fc(a,b){N.call(this);this.type=&quot;ExtrudeGeometry&quot;;this.parameters={shapes:a,options:b};this.fromBufferGeometry(new fb(a,b));this.mergeVertices()}function fb(a,b){function c(a){function c(a,b,c){b||console.error(&quot;THREE.ExtrudeGeometry: vec does not exist&quot;);return b.clone().multiplyScalar(c).add(a)}function g(a,b,c){var d=a.x-\n",
       "b.x;var e=a.y-b.y;var f=c.x-a.x;var g=c.y-a.y,h=d*d+e*e;if(Math.abs(d*g-e*f)>Number.EPSILON){var l=Math.sqrt(h),m=Math.sqrt(f*f+g*g);h=b.x-e/l;b=b.y+d/l;g=((c.x-g/m-h)*g-(c.y+f/m-b)*f)/(d*g-e*f);f=h+d*g-a.x;d=b+e*g-a.y;e=f*f+d*d;if(2>=e)return new t(f,d);e=Math.sqrt(e/2)}else a=!1,d>Number.EPSILON?f>Number.EPSILON&&(a=!0):d<-Number.EPSILON?f<-Number.EPSILON&&(a=!0):Math.sign(e)===Math.sign(g)&&(a=!0),a?(f=-e,e=Math.sqrt(h)):(f=d,d=e,e=Math.sqrt(h/2));return new t(f/e,d/e)}function h(a,b){for(J=a.length;0<=\n",
       "--J;){var c=J;var f=J-1;0>f&&(f=a.length-1);var g,h=z+2*y;for(g=0;g<h;g++){var l=W*g,m=W*(g+1),k=b+f+l,u=b+f+m;m=b+c+m;q(b+c+l);q(k);q(m);q(k);q(u);q(m);l=e.length/3;l=F.generateSideWallUV(d,e,l-6,l-3,l-2,l-1);v(l[0]);v(l[1]);v(l[3]);v(l[1]);v(l[2]);v(l[3])}}}function l(a,b,c){E.push(a);E.push(b);E.push(c)}function k(a,b,c){q(a);q(b);q(c);a=e.length/3;a=F.generateTopUV(d,e,a-3,a-2,a-1);v(a[0]);v(a[1]);v(a[2])}function q(a){e.push(E[3*a]);e.push(E[3*a+1]);e.push(E[3*a+2])}function v(a){f.push(a.x);\n",
       "f.push(a.y)}var E=[],w=void 0!==b.curveSegments?b.curveSegments:12,z=void 0!==b.steps?b.steps:1,ha=void 0!==b.depth?b.depth:100,U=void 0!==b.bevelEnabled?b.bevelEnabled:!0,ca=void 0!==b.bevelThickness?b.bevelThickness:6,B=void 0!==b.bevelSize?b.bevelSize:ca-2,A=void 0!==b.bevelOffset?b.bevelOffset:0,y=void 0!==b.bevelSegments?b.bevelSegments:3,C=b.extrudePath,F=void 0!==b.UVGenerator?b.UVGenerator:Ok;void 0!==b.amount&&(console.warn(&quot;THREE.ExtrudeBufferGeometry: amount has been renamed to depth.&quot;),\n",
       "ha=b.amount);var H=!1;if(C){var D=C.getSpacedPoints(z);H=!0;U=!1;var G=C.computeFrenetFrames(z,!1);var M=new n;var N=new n;var K=new n}U||(A=B=ca=y=0);var O;w=a.extractPoints(w);a=w.shape;var L=w.holes;if(!sb.isClockWise(a)){a=a.reverse();var fa=0;for(O=L.length;fa<O;fa++){var P=L[fa];sb.isClockWise(P)&&(L[fa]=P.reverse())}}var X=sb.triangulateShape(a,L),V=a;fa=0;for(O=L.length;fa<O;fa++)P=L[fa],a=a.concat(P);var Z,W=a.length,T,ba=X.length;w=[];var J=0;var Q=V.length;var S=Q-1;for(Z=J+1;J<Q;J++,S++,\n",
       "Z++)S===Q&&(S=0),Z===Q&&(Z=0),w[J]=g(V[J],V[S],V[Z]);C=[];var ea=w.concat();fa=0;for(O=L.length;fa<O;fa++){P=L[fa];var aa=[];J=0;Q=P.length;S=Q-1;for(Z=J+1;J<Q;J++,S++,Z++)S===Q&&(S=0),Z===Q&&(Z=0),aa[J]=g(P[J],P[S],P[Z]);C.push(aa);ea=ea.concat(aa)}for(S=0;S<y;S++){Q=S/y;var da=ca*Math.cos(Q*Math.PI/2);Z=B*Math.sin(Q*Math.PI/2)+A;J=0;for(Q=V.length;J<Q;J++){var R=c(V[J],w[J],Z);l(R.x,R.y,-da)}fa=0;for(O=L.length;fa<O;fa++)for(P=L[fa],aa=C[fa],J=0,Q=P.length;J<Q;J++)R=c(P[J],aa[J],Z),l(R.x,R.y,-da)}Z=\n",
       "B+A;for(J=0;J<W;J++)R=U?c(a[J],ea[J],Z):a[J],H?(N.copy(G.normals[0]).multiplyScalar(R.x),M.copy(G.binormals[0]).multiplyScalar(R.y),K.copy(D[0]).add(N).add(M),l(K.x,K.y,K.z)):l(R.x,R.y,0);for(Q=1;Q<=z;Q++)for(J=0;J<W;J++)R=U?c(a[J],ea[J],Z):a[J],H?(N.copy(G.normals[Q]).multiplyScalar(R.x),M.copy(G.binormals[Q]).multiplyScalar(R.y),K.copy(D[Q]).add(N).add(M),l(K.x,K.y,K.z)):l(R.x,R.y,ha/z*Q);for(S=y-1;0<=S;S--){Q=S/y;da=ca*Math.cos(Q*Math.PI/2);Z=B*Math.sin(Q*Math.PI/2)+A;J=0;for(Q=V.length;J<Q;J++)R=\n",
       "c(V[J],w[J],Z),l(R.x,R.y,ha+da);fa=0;for(O=L.length;fa<O;fa++)for(P=L[fa],aa=C[fa],J=0,Q=P.length;J<Q;J++)R=c(P[J],aa[J],Z),H?l(R.x,R.y+D[z-1].y,D[z-1].x+da):l(R.x,R.y,ha+da)}(function(){var a=e.length/3;if(U){var b=0*W;for(J=0;J<ba;J++)T=X[J],k(T[2]+b,T[1]+b,T[0]+b);b=W*(z+2*y);for(J=0;J<ba;J++)T=X[J],k(T[0]+b,T[1]+b,T[2]+b)}else{for(J=0;J<ba;J++)T=X[J],k(T[2],T[1],T[0]);for(J=0;J<ba;J++)T=X[J],k(T[0]+W*z,T[1]+W*z,T[2]+W*z)}d.addGroup(a,e.length/3-a,0)})();(function(){var a=e.length/3,b=0;h(V,b);\n",
       "b+=V.length;fa=0;for(O=L.length;fa<O;fa++)P=L[fa],h(P,b),b+=P.length;d.addGroup(a,e.length/3-a,1)})()}C.call(this);this.type=&quot;ExtrudeBufferGeometry&quot;;this.parameters={shapes:a,options:b};a=Array.isArray(a)?a:[a];for(var d=this,e=[],f=[],g=0,h=a.length;g<h;g++)c(a[g]);this.setAttribute(&quot;position&quot;,new y(e,3));this.setAttribute(&quot;uv&quot;,new y(f,2));this.computeVertexNormals()}function ii(a,b,c){c.shapes=[];if(Array.isArray(a))for(var d=0,e=a.length;d<e;d++)c.shapes.push(a[d].uuid);else c.shapes.push(a.uuid);\n",
       "void 0!==b.extrudePath&&(c.options.extrudePath=b.extrudePath.toJSON());return c}function ge(a,b){N.call(this);this.type=&quot;TextGeometry&quot;;this.parameters={text:a,parameters:b};this.fromBufferGeometry(new Zc(a,b));this.mergeVertices()}function Zc(a,b){b=b||{};var c=b.font;if(!c||!c.isFont)return console.error(&quot;THREE.TextGeometry: font parameter is not an instance of THREE.Font.&quot;),new N;a=c.generateShapes(a,b.size);b.depth=void 0!==b.height?b.height:50;void 0===b.bevelThickness&&(b.bevelThickness=10);\n",
       "void 0===b.bevelSize&&(b.bevelSize=8);void 0===b.bevelEnabled&&(b.bevelEnabled=!1);fb.call(this,a,b);this.type=&quot;TextBufferGeometry&quot;}function he(a,b,c,d,e,f,g){N.call(this);this.type=&quot;SphereGeometry&quot;;this.parameters={radius:a,widthSegments:b,heightSegments:c,phiStart:d,phiLength:e,thetaStart:f,thetaLength:g};this.fromBufferGeometry(new gc(a,b,c,d,e,f,g));this.mergeVertices()}function gc(a,b,c,d,e,f,g){C.call(this);this.type=&quot;SphereBufferGeometry&quot;;this.parameters={radius:a,widthSegments:b,heightSegments:c,\n",
       "phiStart:d,phiLength:e,thetaStart:f,thetaLength:g};a=a||1;b=Math.max(3,Math.floor(b)||8);c=Math.max(2,Math.floor(c)||6);d=void 0!==d?d:0;e=void 0!==e?e:2*Math.PI;f=void 0!==f?f:0;g=void 0!==g?g:Math.PI;var h=Math.min(f+g,Math.PI),l,m,k=0,p=[],x=new n,r=new n,q=[],v=[],E=[],w=[];for(m=0;m<=c;m++){var t=[],ha=m/c,U=0;0==m&&0==f?U=.5/b:m==c&&h==Math.PI&&(U=-.5/b);for(l=0;l<=b;l++){var ca=l/b;x.x=-a*Math.cos(d+ca*e)*Math.sin(f+ha*g);x.y=a*Math.cos(f+ha*g);x.z=a*Math.sin(d+ca*e)*Math.sin(f+ha*g);v.push(x.x,\n",
       "x.y,x.z);r.copy(x).normalize();E.push(r.x,r.y,r.z);w.push(ca+U,1-ha);t.push(k++)}p.push(t)}for(m=0;m<c;m++)for(l=0;l<b;l++)a=p[m][l+1],d=p[m][l],e=p[m+1][l],g=p[m+1][l+1],(0!==m||0<f)&&q.push(a,d,g),(m!==c-1||h<Math.PI)&&q.push(d,e,g);this.setIndex(q);this.setAttribute(&quot;position&quot;,new y(v,3));this.setAttribute(&quot;normal&quot;,new y(E,3));this.setAttribute(&quot;uv&quot;,new y(w,2))}function ie(a,b,c,d,e,f){N.call(this);this.type=&quot;RingGeometry&quot;;this.parameters={innerRadius:a,outerRadius:b,thetaSegments:c,phiSegments:d,\n",
       "thetaStart:e,thetaLength:f};this.fromBufferGeometry(new $c(a,b,c,d,e,f));this.mergeVertices()}function $c(a,b,c,d,e,f){C.call(this);this.type=&quot;RingBufferGeometry&quot;;this.parameters={innerRadius:a,outerRadius:b,thetaSegments:c,phiSegments:d,thetaStart:e,thetaLength:f};a=a||.5;b=b||1;e=void 0!==e?e:0;f=void 0!==f?f:2*Math.PI;c=void 0!==c?Math.max(3,c):8;d=void 0!==d?Math.max(1,d):1;var g=[],h=[],l=[],m=[],k=a,p=(b-a)/d,x=new n,r=new t,q,v;for(q=0;q<=d;q++){for(v=0;v<=c;v++)a=e+v/c*f,x.x=k*Math.cos(a),\n",
       "x.y=k*Math.sin(a),h.push(x.x,x.y,x.z),l.push(0,0,1),r.x=(x.x/b+1)/2,r.y=(x.y/b+1)/2,m.push(r.x,r.y);k+=p}for(q=0;q<d;q++)for(b=q*(c+1),v=0;v<c;v++)a=v+b,e=a+c+1,f=a+c+2,k=a+1,g.push(a,e,k),g.push(e,f,k);this.setIndex(g);this.setAttribute(&quot;position&quot;,new y(h,3));this.setAttribute(&quot;normal&quot;,new y(l,3));this.setAttribute(&quot;uv&quot;,new y(m,2))}function je(a,b,c,d){N.call(this);this.type=&quot;LatheGeometry&quot;;this.parameters={points:a,segments:b,phiStart:c,phiLength:d};this.fromBufferGeometry(new ad(a,b,c,d));this.mergeVertices()}\n",
       "function ad(a,b,c,d){C.call(this);this.type=&quot;LatheBufferGeometry&quot;;this.parameters={points:a,segments:b,phiStart:c,phiLength:d};b=Math.floor(b)||12;c=c||0;d=d||2*Math.PI;d=L.clamp(d,0,2*Math.PI);var e=[],f=[],g=[],h=1/b,l=new n,m=new t,k;for(k=0;k<=b;k++){var p=c+k*h*d;var x=Math.sin(p),r=Math.cos(p);for(p=0;p<=a.length-1;p++)l.x=a[p].x*x,l.y=a[p].y,l.z=a[p].x*r,f.push(l.x,l.y,l.z),m.x=k/b,m.y=p/(a.length-1),g.push(m.x,m.y)}for(k=0;k<b;k++)for(p=0;p<a.length-1;p++)c=p+k*a.length,h=c+a.length,l=c+a.length+\n",
       "1,m=c+1,e.push(c,h,m),e.push(h,l,m);this.setIndex(e);this.setAttribute(&quot;position&quot;,new y(f,3));this.setAttribute(&quot;uv&quot;,new y(g,2));this.computeVertexNormals();if(d===2*Math.PI)for(d=this.attributes.normal.array,e=new n,f=new n,g=new n,c=b*a.length*3,p=k=0;k<a.length;k++,p+=3)e.x=d[p+0],e.y=d[p+1],e.z=d[p+2],f.x=d[c+p+0],f.y=d[c+p+1],f.z=d[c+p+2],g.addVectors(e,f).normalize(),d[p+0]=d[c+p+0]=g.x,d[p+1]=d[c+p+1]=g.y,d[p+2]=d[c+p+2]=g.z}function hc(a,b){N.call(this);this.type=&quot;ShapeGeometry&quot;;&quot;object&quot;===\n",
       "typeof b&&(console.warn(&quot;THREE.ShapeGeometry: Options parameter has been removed.&quot;),b=b.curveSegments);this.parameters={shapes:a,curveSegments:b};this.fromBufferGeometry(new ic(a,b));this.mergeVertices()}function ic(a,b){function c(a){var c,h=e.length/3;a=a.extractPoints(b);var m=a.shape,k=a.holes;!1===sb.isClockWise(m)&&(m=m.reverse());a=0;for(c=k.length;a<c;a++){var u=k[a];!0===sb.isClockWise(u)&&(k[a]=u.reverse())}var n=sb.triangulateShape(m,k);a=0;for(c=k.length;a<c;a++)u=k[a],m=m.concat(u);a=\n",
       "0;for(c=m.length;a<c;a++)u=m[a],e.push(u.x,u.y,0),f.push(0,0,1),g.push(u.x,u.y);a=0;for(c=n.length;a<c;a++)m=n[a],d.push(m[0]+h,m[1]+h,m[2]+h),l+=3}C.call(this);this.type=&quot;ShapeBufferGeometry&quot;;this.parameters={shapes:a,curveSegments:b};b=b||12;var d=[],e=[],f=[],g=[],h=0,l=0;if(!1===Array.isArray(a))c(a);else for(var m=0;m<a.length;m++)c(a[m]),this.addGroup(h,l,m),h+=l,l=0;this.setIndex(d);this.setAttribute(&quot;position&quot;,new y(e,3));this.setAttribute(&quot;normal&quot;,new y(f,3));this.setAttribute(&quot;uv&quot;,new y(g,\n",
       "2))}function ji(a,b){b.shapes=[];if(Array.isArray(a))for(var c=0,d=a.length;c<d;c++)b.shapes.push(a[c].uuid);else b.shapes.push(a.uuid);return b}function bd(a,b){C.call(this);this.type=&quot;EdgesGeometry&quot;;this.parameters={thresholdAngle:b};var c=[];b=Math.cos(L.DEG2RAD*(void 0!==b?b:1));var d=[0,0],e={},f=[&quot;a&quot;,&quot;b&quot;,&quot;c&quot;];if(a.isBufferGeometry){var g=new N;g.fromBufferGeometry(a)}else g=a.clone();g.mergeVertices();g.computeFaceNormals();a=g.vertices;g=g.faces;for(var h=0,l=g.length;h<l;h++)for(var m=g[h],\n",
       "k=0;3>k;k++){var p=m[f[k]];var n=m[f[(k+1)%3]];d[0]=Math.min(p,n);d[1]=Math.max(p,n);p=d[0]+&quot;,&quot;+d[1];void 0===e[p]?e[p]={index1:d[0],index2:d[1],face1:h,face2:void 0}:e[p].face2=h}for(p in e)if(d=e[p],void 0===d.face2||g[d.face1].normal.dot(g[d.face2].normal)<=b)f=a[d.index1],c.push(f.x,f.y,f.z),f=a[d.index2],c.push(f.x,f.y,f.z);this.setAttribute(&quot;position&quot;,new y(c,3))}function jc(a,b,c,d,e,f,g,h){N.call(this);this.type=&quot;CylinderGeometry&quot;;this.parameters={radiusTop:a,radiusBottom:b,height:c,radialSegments:d,\n",
       "heightSegments:e,openEnded:f,thetaStart:g,thetaLength:h};this.fromBufferGeometry(new tb(a,b,c,d,e,f,g,h));this.mergeVertices()}function tb(a,b,c,d,e,f,g,h){function l(c){var e,f=new t,l=new n,u=0,v=!0===c?a:b,z=!0===c?1:-1;var A=q;for(e=1;e<=d;e++)p.push(0,E*z,0),x.push(0,z,0),r.push(.5,.5),q++;var y=q;for(e=0;e<=d;e++){var C=e/d*h+g,D=Math.cos(C);C=Math.sin(C);l.x=v*C;l.y=E*z;l.z=v*D;p.push(l.x,l.y,l.z);x.push(0,z,0);f.x=.5*D+.5;f.y=.5*C*z+.5;r.push(f.x,f.y);q++}for(e=0;e<d;e++)f=A+e,l=y+e,!0===\n",
       "c?k.push(l,l+1,f):k.push(l+1,l,f),u+=3;m.addGroup(w,u,!0===c?1:2);w+=u}C.call(this);this.type=&quot;CylinderBufferGeometry&quot;;this.parameters={radiusTop:a,radiusBottom:b,height:c,radialSegments:d,heightSegments:e,openEnded:f,thetaStart:g,thetaLength:h};var m=this;a=void 0!==a?a:1;b=void 0!==b?b:1;c=c||1;d=Math.floor(d)||8;e=Math.floor(e)||1;f=void 0!==f?f:!1;g=void 0!==g?g:0;h=void 0!==h?h:2*Math.PI;var k=[],p=[],x=[],r=[],q=0,v=[],E=c/2,w=0;(function(){var f,l,u=new n,t=new n,B=0,A=(b-a)/c;for(l=0;l<=e;l++){var C=\n",
       "[],y=l/e,D=y*(b-a)+a;for(f=0;f<=d;f++){var H=f/d,F=H*h+g,G=Math.sin(F);F=Math.cos(F);t.x=D*G;t.y=-y*c+E;t.z=D*F;p.push(t.x,t.y,t.z);u.set(G,A,F).normalize();x.push(u.x,u.y,u.z);r.push(H,1-y);C.push(q++)}v.push(C)}for(f=0;f<d;f++)for(l=0;l<e;l++)u=v[l+1][f],t=v[l+1][f+1],A=v[l][f+1],k.push(v[l][f],u,A),k.push(u,t,A),B+=6;m.addGroup(w,B,0);w+=B})();!1===f&&(0<a&&l(!0),0<b&&l(!1));this.setIndex(k);this.setAttribute(&quot;position&quot;,new y(p,3));this.setAttribute(&quot;normal&quot;,new y(x,3));this.setAttribute(&quot;uv&quot;,\n",
       "new y(r,2))}function ke(a,b,c,d,e,f,g){jc.call(this,0,a,b,c,d,e,f,g);this.type=&quot;ConeGeometry&quot;;this.parameters={radius:a,height:b,radialSegments:c,heightSegments:d,openEnded:e,thetaStart:f,thetaLength:g}}function le(a,b,c,d,e,f,g){tb.call(this,0,a,b,c,d,e,f,g);this.type=&quot;ConeBufferGeometry&quot;;this.parameters={radius:a,height:b,radialSegments:c,heightSegments:d,openEnded:e,thetaStart:f,thetaLength:g}}function me(a,b,c,d){N.call(this);this.type=&quot;CircleGeometry&quot;;this.parameters={radius:a,segments:b,thetaStart:c,\n",
       "thetaLength:d};this.fromBufferGeometry(new cd(a,b,c,d));this.mergeVertices()}function cd(a,b,c,d){C.call(this);this.type=&quot;CircleBufferGeometry&quot;;this.parameters={radius:a,segments:b,thetaStart:c,thetaLength:d};a=a||1;b=void 0!==b?Math.max(3,b):8;c=void 0!==c?c:0;d=void 0!==d?d:2*Math.PI;var e=[],f=[],g=[],h=[],l,m=new n,k=new t;f.push(0,0,0);g.push(0,0,1);h.push(.5,.5);var p=0;for(l=3;p<=b;p++,l+=3){var x=c+p/b*d;m.x=a*Math.cos(x);m.y=a*Math.sin(x);f.push(m.x,m.y,m.z);g.push(0,0,1);k.x=(f[l]/a+1)/\n",
       "2;k.y=(f[l+1]/a+1)/2;h.push(k.x,k.y)}for(l=1;l<=b;l++)e.push(l,l+1,0);this.setIndex(e);this.setAttribute(&quot;position&quot;,new y(f,3));this.setAttribute(&quot;normal&quot;,new y(g,3));this.setAttribute(&quot;uv&quot;,new y(h,2))}function kc(a){K.call(this);this.type=&quot;ShadowMaterial&quot;;this.color=new A(0);this.transparent=!0;this.setValues(a)}function ub(a){Ba.call(this,a);this.type=&quot;RawShaderMaterial&quot;}function gb(a){K.call(this);this.defines={STANDARD:&quot;&quot;};this.type=&quot;MeshStandardMaterial&quot;;this.color=new A(16777215);this.roughness=\n",
       "1;this.metalness=0;this.lightMap=this.map=null;this.lightMapIntensity=1;this.aoMap=null;this.aoMapIntensity=1;this.emissive=new A(0);this.emissiveIntensity=1;this.bumpMap=this.emissiveMap=null;this.bumpScale=1;this.normalMap=null;this.normalMapType=0;this.normalScale=new t(1,1);this.displacementMap=null;this.displacementScale=1;this.displacementBias=0;this.envMap=this.alphaMap=this.metalnessMap=this.roughnessMap=null;this.envMapIntensity=1;this.refractionRatio=.98;this.wireframe=!1;this.wireframeLinewidth=\n",
       "1;this.wireframeLinejoin=this.wireframeLinecap=&quot;round&quot;;this.vertexTangents=this.morphNormals=this.morphTargets=this.skinning=!1;this.setValues(a)}function lc(a){gb.call(this);this.defines={STANDARD:&quot;&quot;,PHYSICAL:&quot;&quot;};this.type=&quot;MeshPhysicalMaterial&quot;;this.clearcoat=0;this.clearcoatMap=null;this.clearcoatRoughness=0;this.clearcoatRoughnessMap=null;this.clearcoatNormalScale=new t(1,1);this.clearcoatNormalMap=null;this.reflectivity=.5;this.sheen=null;this.transparency=0;this.setValues(a)}function Jb(a){K.call(this);\n",
       "this.type=&quot;MeshPhongMaterial&quot;;this.color=new A(16777215);this.specular=new A(1118481);this.shininess=30;this.lightMap=this.map=null;this.lightMapIntensity=1;this.aoMap=null;this.aoMapIntensity=1;this.emissive=new A(0);this.emissiveIntensity=1;this.bumpMap=this.emissiveMap=null;this.bumpScale=1;this.normalMap=null;this.normalMapType=0;this.normalScale=new t(1,1);this.displacementMap=null;this.displacementScale=1;this.displacementBias=0;this.envMap=this.alphaMap=this.specularMap=null;this.combine=0;\n",
       "this.reflectivity=1;this.refractionRatio=.98;this.wireframe=!1;this.wireframeLinewidth=1;this.wireframeLinejoin=this.wireframeLinecap=&quot;round&quot;;this.morphNormals=this.morphTargets=this.skinning=!1;this.setValues(a)}function mc(a){K.call(this);this.defines={TOON:&quot;&quot;};this.type=&quot;MeshToonMaterial&quot;;this.color=new A(16777215);this.specular=new A(1118481);this.shininess=30;this.lightMap=this.gradientMap=this.map=null;this.lightMapIntensity=1;this.aoMap=null;this.aoMapIntensity=1;this.emissive=new A(0);this.emissiveIntensity=\n",
       "1;this.bumpMap=this.emissiveMap=null;this.bumpScale=1;this.normalMap=null;this.normalMapType=0;this.normalScale=new t(1,1);this.displacementMap=null;this.displacementScale=1;this.displacementBias=0;this.alphaMap=this.specularMap=null;this.wireframe=!1;this.wireframeLinewidth=1;this.wireframeLinejoin=this.wireframeLinecap=&quot;round&quot;;this.morphNormals=this.morphTargets=this.skinning=!1;this.setValues(a)}function nc(a){K.call(this);this.type=&quot;MeshNormalMaterial&quot;;this.bumpMap=null;this.bumpScale=1;this.normalMap=\n",
       "null;this.normalMapType=0;this.normalScale=new t(1,1);this.displacementMap=null;this.displacementScale=1;this.displacementBias=0;this.wireframe=!1;this.wireframeLinewidth=1;this.morphNormals=this.morphTargets=this.skinning=this.fog=!1;this.setValues(a)}function oc(a){K.call(this);this.type=&quot;MeshLambertMaterial&quot;;this.color=new A(16777215);this.lightMap=this.map=null;this.lightMapIntensity=1;this.aoMap=null;this.aoMapIntensity=1;this.emissive=new A(0);this.emissiveIntensity=1;this.envMap=this.alphaMap=\n",
       "this.specularMap=this.emissiveMap=null;this.combine=0;this.reflectivity=1;this.refractionRatio=.98;this.wireframe=!1;this.wireframeLinewidth=1;this.wireframeLinejoin=this.wireframeLinecap=&quot;round&quot;;this.morphNormals=this.morphTargets=this.skinning=!1;this.setValues(a)}function pc(a){K.call(this);this.defines={MATCAP:&quot;&quot;};this.type=&quot;MeshMatcapMaterial&quot;;this.color=new A(16777215);this.bumpMap=this.map=this.matcap=null;this.bumpScale=1;this.normalMap=null;this.normalMapType=0;this.normalScale=new t(1,1);\n",
       "this.displacementMap=null;this.displacementScale=1;this.displacementBias=0;this.alphaMap=null;this.morphNormals=this.morphTargets=this.skinning=!1;this.setValues(a)}function qc(a){la.call(this);this.type=&quot;LineDashedMaterial&quot;;this.scale=1;this.dashSize=3;this.gapSize=1;this.setValues(a)}function La(a,b,c,d){this.parameterPositions=a;this._cachedIndex=0;this.resultBuffer=void 0!==d?d:new b.constructor(c);this.sampleValues=b;this.valueSize=c}function Xe(a,b,c,d){La.call(this,a,b,c,d);this._offsetNext=\n",
       "this._weightNext=this._offsetPrev=this._weightPrev=-0}function ne(a,b,c,d){La.call(this,a,b,c,d)}function Ye(a,b,c,d){La.call(this,a,b,c,d)}function sa(a,b,c,d){if(void 0===a)throw Error(&quot;THREE.KeyframeTrack: track name is undefined&quot;);if(void 0===b||0===b.length)throw Error(&quot;THREE.KeyframeTrack: no keyframes in track named &quot;+a);this.name=a;this.times=R.convertArray(b,this.TimeBufferType);this.values=R.convertArray(c,this.ValueBufferType);this.setInterpolation(d||this.DefaultInterpolation)}function Ze(a,\n",
       "b,c){sa.call(this,a,b,c)}function $e(a,b,c,d){sa.call(this,a,b,c,d)}function dd(a,b,c,d){sa.call(this,a,b,c,d)}function af(a,b,c,d){La.call(this,a,b,c,d)}function oe(a,b,c,d){sa.call(this,a,b,c,d)}function bf(a,b,c,d){sa.call(this,a,b,c,d)}function ed(a,b,c,d){sa.call(this,a,b,c,d)}function Qa(a,b,c){this.name=a;this.tracks=c;this.duration=void 0!==b?b:-1;this.uuid=L.generateUUID();0>this.duration&&this.resetDuration()}function Pk(a){switch(a.toLowerCase()){case &quot;scalar&quot;:case &quot;double&quot;:case &quot;float&quot;:case &quot;number&quot;:case &quot;integer&quot;:return dd;\n",
       "case &quot;vector&quot;:case &quot;vector2&quot;:case &quot;vector3&quot;:case &quot;vector4&quot;:return ed;case &quot;color&quot;:return $e;case &quot;quaternion&quot;:return oe;case &quot;bool&quot;:case &quot;boolean&quot;:return Ze;case &quot;string&quot;:return bf}throw Error(&quot;THREE.KeyframeTrack: Unsupported typeName: &quot;+a);}function Qk(a){if(void 0===a.type)throw Error(&quot;THREE.KeyframeTrack: track type undefined, can not parse&quot;);var b=Pk(a.type);if(void 0===a.times){var c=[],d=[];R.flattenJSON(a.keys,c,d,&quot;value&quot;);a.times=c;a.values=d}return void 0!==b.parse?b.parse(a):new b(a.name,\n",
       "a.times,a.values,a.interpolation)}function vg(a,b,c){var d=this,e=!1,f=0,g=0,h=void 0,l=[];this.onStart=void 0;this.onLoad=a;this.onProgress=b;this.onError=c;this.itemStart=function(a){g++;if(!1===e&&void 0!==d.onStart)d.onStart(a,f,g);e=!0};this.itemEnd=function(a){f++;if(void 0!==d.onProgress)d.onProgress(a,f,g);if(f===g&&(e=!1,void 0!==d.onLoad))d.onLoad()};this.itemError=function(a){if(void 0!==d.onError)d.onError(a)};this.resolveURL=function(a){return h?h(a):a};this.setURLModifier=function(a){h=\n",
       "a;return this};this.addHandler=function(a,b){l.push(a,b);return this};this.removeHandler=function(a){a=l.indexOf(a);-1!==a&&l.splice(a,2);return this};this.getHandler=function(a){for(var b=0,c=l.length;b<c;b+=2){var d=l[b],e=l[b+1];d.global&&(d.lastIndex=0);if(d.test(a))return e}return null}}function W(a){this.manager=void 0!==a?a:ki;this.crossOrigin=&quot;anonymous&quot;;this.resourcePath=this.path=&quot;&quot;}function Ra(a){W.call(this,a)}function wg(a){W.call(this,a)}function xg(a){W.call(this,a)}function cf(a){W.call(this,\n",
       "a)}function fd(a){W.call(this,a)}function df(a){W.call(this,a)}function ef(a){W.call(this,a)}function G(){this.type=&quot;Curve&quot;;this.arcLengthDivisions=200}function Ma(a,b,c,d,e,f,g,h){G.call(this);this.type=&quot;EllipseCurve&quot;;this.aX=a||0;this.aY=b||0;this.xRadius=c||1;this.yRadius=d||1;this.aStartAngle=e||0;this.aEndAngle=f||2*Math.PI;this.aClockwise=g||!1;this.aRotation=h||0}function gd(a,b,c,d,e,f){Ma.call(this,a,b,c,c,d,e,f);this.type=&quot;ArcCurve&quot;}function yg(){var a=0,b=0,c=0,d=0;return{initCatmullRom:function(e,\n",
       "f,g,h,l){e=l*(g-e);h=l*(h-f);a=f;b=e;c=-3*f+3*g-2*e-h;d=2*f-2*g+e+h},initNonuniformCatmullRom:function(e,f,g,h,l,m,k){e=((f-e)/l-(g-e)/(l+m)+(g-f)/m)*m;h=((g-f)/m-(h-f)/(m+k)+(h-g)/k)*m;a=f;b=e;c=-3*f+3*g-2*e-h;d=2*f-2*g+e+h},calc:function(e){var f=e*e;return a+b*e+c*f+d*f*e}}}function pa(a,b,c,d){G.call(this);this.type=&quot;CatmullRomCurve3&quot;;this.points=a||[];this.closed=b||!1;this.curveType=c||&quot;centripetal&quot;;this.tension=d||.5}function li(a,b,c,d,e){b=.5*(d-b);e=.5*(e-c);var f=a*a;return(2*c-2*d+b+e)*\n",
       "a*f+(-3*c+3*d-2*b-e)*f+b*a+c}function pe(a,b,c,d){var e=1-a;return e*e*b+2*(1-a)*a*c+a*a*d}function qe(a,b,c,d,e){var f=1-a,g=1-a;return f*f*f*b+3*g*g*a*c+3*(1-a)*a*a*d+a*a*a*e}function Wa(a,b,c,d){G.call(this);this.type=&quot;CubicBezierCurve&quot;;this.v0=a||new t;this.v1=b||new t;this.v2=c||new t;this.v3=d||new t}function hb(a,b,c,d){G.call(this);this.type=&quot;CubicBezierCurve3&quot;;this.v0=a||new n;this.v1=b||new n;this.v2=c||new n;this.v3=d||new n}function Da(a,b){G.call(this);this.type=&quot;LineCurve&quot;;this.v1=a||\n",
       "new t;this.v2=b||new t}function Xa(a,b){G.call(this);this.type=&quot;LineCurve3&quot;;this.v1=a||new n;this.v2=b||new n}function Ya(a,b,c){G.call(this);this.type=&quot;QuadraticBezierCurve&quot;;this.v0=a||new t;this.v1=b||new t;this.v2=c||new t}function ib(a,b,c){G.call(this);this.type=&quot;QuadraticBezierCurve3&quot;;this.v0=a||new n;this.v1=b||new n;this.v2=c||new n}function Za(a){G.call(this);this.type=&quot;SplineCurve&quot;;this.points=a||[]}function vb(){G.call(this);this.type=&quot;CurvePath&quot;;this.curves=[];this.autoClose=!1}function $a(a){vb.call(this);\n",
       "this.type=&quot;Path&quot;;this.currentPoint=new t;a&&this.setFromPoints(a)}function Kb(a){$a.call(this,a);this.uuid=L.generateUUID();this.type=&quot;Shape&quot;;this.holes=[]}function da(a,b){F.call(this);this.type=&quot;Light&quot;;this.color=new A(a);this.intensity=void 0!==b?b:1;this.receiveShadow=void 0}function ff(a,b,c){da.call(this,a,c);this.type=&quot;HemisphereLight&quot;;this.castShadow=void 0;this.position.copy(F.DefaultUp);this.updateMatrix();this.groundColor=new A(b)}function jb(a){this.camera=a;this.bias=0;this.radius=1;\n",
       "this.mapSize=new t(512,512);this.mapPass=this.map=null;this.matrix=new P;this._frustum=new Hc;this._frameExtents=new t(1,1);this._viewportCount=1;this._viewports=[new ka(0,0,1,1)]}function gf(){jb.call(this,new aa(50,1,.5,500))}function hf(a,b,c,d,e,f){da.call(this,a,b);this.type=&quot;SpotLight&quot;;this.position.copy(F.DefaultUp);this.updateMatrix();this.target=new F;Object.defineProperty(this,&quot;power&quot;,{get:function(){return this.intensity*Math.PI},set:function(a){this.intensity=a/Math.PI}});this.distance=\n",
       "void 0!==c?c:0;this.angle=void 0!==d?d:Math.PI/3;this.penumbra=void 0!==e?e:0;this.decay=void 0!==f?f:1;this.shadow=new gf}function zg(){jb.call(this,new aa(90,1,.5,500));this._frameExtents=new t(4,2);this._viewportCount=6;this._viewports=[new ka(2,1,1,1),new ka(0,1,1,1),new ka(3,1,1,1),new ka(1,1,1,1),new ka(3,0,1,1),new ka(1,0,1,1)];this._cubeDirections=[new n(1,0,0),new n(-1,0,0),new n(0,0,1),new n(0,0,-1),new n(0,1,0),new n(0,-1,0)];this._cubeUps=[new n(0,1,0),new n(0,1,0),new n(0,1,0),new n(0,\n",
       "1,0),new n(0,0,1),new n(0,0,-1)]}function jf(a,b,c,d){da.call(this,a,b);this.type=&quot;PointLight&quot;;Object.defineProperty(this,&quot;power&quot;,{get:function(){return 4*this.intensity*Math.PI},set:function(a){this.intensity=a/(4*Math.PI)}});this.distance=void 0!==c?c:0;this.decay=void 0!==d?d:1;this.shadow=new zg}function hd(a,b,c,d,e,f){db.call(this);this.type=&quot;OrthographicCamera&quot;;this.zoom=1;this.view=null;this.left=void 0!==a?a:-1;this.right=void 0!==b?b:1;this.top=void 0!==c?c:1;this.bottom=void 0!==d?d:-1;\n",
       "this.near=void 0!==e?e:.1;this.far=void 0!==f?f:2E3;this.updateProjectionMatrix()}function kf(){jb.call(this,new hd(-5,5,5,-5,.5,500))}function lf(a,b){da.call(this,a,b);this.type=&quot;DirectionalLight&quot;;this.position.copy(F.DefaultUp);this.updateMatrix();this.target=new F;this.shadow=new kf}function mf(a,b){da.call(this,a,b);this.type=&quot;AmbientLight&quot;;this.castShadow=void 0}function nf(a,b,c,d){da.call(this,a,b);this.type=&quot;RectAreaLight&quot;;this.width=void 0!==c?c:10;this.height=void 0!==d?d:10}function of(a){W.call(this,\n",
       "a);this.textures={}}function pf(){C.call(this);this.type=&quot;InstancedBufferGeometry&quot;;this.maxInstancedCount=void 0}function qf(a,b,c,d){&quot;number&quot;===typeof c&&(d=c,c=!1,console.error(&quot;THREE.InstancedBufferAttribute: The constructor now expects normalized as the third argument.&quot;));M.call(this,a,b,c);this.meshPerAttribute=d||1}function rf(a){W.call(this,a)}function sf(a){W.call(this,a)}function Ag(a){&quot;undefined&quot;===typeof createImageBitmap&&console.warn(&quot;THREE.ImageBitmapLoader: createImageBitmap() not supported.&quot;);\n",
       "&quot;undefined&quot;===typeof fetch&&console.warn(&quot;THREE.ImageBitmapLoader: fetch() not supported.&quot;);W.call(this,a);this.options=void 0}function Bg(){this.type=&quot;ShapePath&quot;;this.color=new A;this.subPaths=[];this.currentPath=null}function Cg(a){this.type=&quot;Font&quot;;this.data=a}function Dg(a){W.call(this,a)}function tf(a){W.call(this,a)}function uf(){this.coefficients=[];for(var a=0;9>a;a++)this.coefficients.push(new n)}function ab(a,b){da.call(this,void 0,b);this.sh=void 0!==a?a:new uf}function Eg(a,b,c){ab.call(this,\n",
       "void 0,c);a=(new A).set(a);c=(new A).set(b);b=new n(a.r,a.g,a.b);a=new n(c.r,c.g,c.b);c=Math.sqrt(Math.PI);var d=c*Math.sqrt(.75);this.sh.coefficients[0].copy(b).add(a).multiplyScalar(c);this.sh.coefficients[1].copy(b).sub(a).multiplyScalar(d)}function Fg(a,b){ab.call(this,void 0,b);a=(new A).set(a);this.sh.coefficients[0].set(a.r,a.g,a.b).multiplyScalar(2*Math.sqrt(Math.PI))}function mi(){this.type=&quot;StereoCamera&quot;;this.aspect=1;this.eyeSep=.064;this.cameraL=new aa;this.cameraL.layers.enable(1);this.cameraL.matrixAutoUpdate=\n",
       "!1;this.cameraR=new aa;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}}function Gg(a){this.autoStart=void 0!==a?a:!0;this.elapsedTime=this.oldTime=this.startTime=0;this.running=!1}function Hg(){F.call(this);this.type=&quot;AudioListener&quot;;this.context=Ig.getContext();this.gain=this.context.createGain();this.gain.connect(this.context.destination);this.filter=null;this.timeDelta=0;this._clock=new Gg}function id(a){F.call(this);\n",
       "this.type=&quot;Audio&quot;;this.listener=a;this.context=a.context;this.gain=this.context.createGain();this.gain.connect(a.getInput());this.autoplay=!1;this.buffer=null;this.detune=0;this.loop=!1;this.offset=this.loopEnd=this.loopStart=0;this.duration=void 0;this.playbackRate=1;this.isPlaying=!1;this.hasPlaybackControl=!0;this.sourceType=&quot;empty&quot;;this._pausedAt=this._startedAt=0;this.filters=[]}function Jg(a){id.call(this,a);this.panner=this.context.createPanner();this.panner.panningModel=&quot;HRTF&quot;;this.panner.connect(this.gain)}\n",
       "function Kg(a,b){this.analyser=a.context.createAnalyser();this.analyser.fftSize=void 0!==b?b:2048;this.data=new Uint8Array(this.analyser.frequencyBinCount);a.getOutput().connect(this.analyser)}function Lg(a,b,c){this.binding=a;this.valueSize=c;a=Float64Array;switch(b){case &quot;quaternion&quot;:b=this._slerp;break;case &quot;string&quot;:case &quot;bool&quot;:a=Array;b=this._select;break;default:b=this._lerp}this.buffer=new a(4*c);this._mixBufferRegion=b;this.referenceCount=this.useCount=this.cumulativeWeight=0}function ni(a,\n",
       "b,c){c=c||ya.parseTrackName(b);this._targetGroup=a;this._bindings=a.subscribe_(b,c)}function ya(a,b,c){this.path=b;this.parsedPath=c||ya.parseTrackName(b);this.node=ya.findNode(a,this.parsedPath.nodeName)||a;this.rootNode=a}function oi(){this.uuid=L.generateUUID();this._objects=Array.prototype.slice.call(arguments);this.nCachedObjects_=0;var a={};this._indicesByUUID=a;for(var b=0,c=arguments.length;b!==c;++b)a[arguments[b].uuid]=b;this._paths=[];this._parsedPaths=[];this._bindings=[];this._bindingsIndicesByPath=\n",
       "{};var d=this;this.stats={objects:{get total(){return d._objects.length},get inUse(){return this.total-d.nCachedObjects_}},get bindingsPerObject(){return d._bindings.length}}}function pi(a,b,c){this._mixer=a;this._clip=b;this._localRoot=c||null;a=b.tracks;b=a.length;c=Array(b);for(var d={endingStart:2400,endingEnd:2400},e=0;e!==b;++e){var f=a[e].createInterpolant(null);c[e]=f;f.settings=d}this._interpolantSettings=d;this._interpolants=c;this._propertyBindings=Array(b);this._weightInterpolant=this._timeScaleInterpolant=\n",
       "this._byClipCacheIndex=this._cacheIndex=null;this.loop=2201;this._loopCount=-1;this._startTime=null;this.time=0;this._effectiveWeight=this.weight=this._effectiveTimeScale=this.timeScale=1;this.repetitions=Infinity;this.paused=!1;this.enabled=!0;this.clampWhenFinished=!1;this.zeroSlopeAtEnd=this.zeroSlopeAtStart=!0}function Mg(a){this._root=a;this._initMemoryManager();this.time=this._accuIndex=0;this.timeScale=1}function vf(a,b){&quot;string&quot;===typeof a&&(console.warn(&quot;THREE.Uniform: Type parameter is no longer needed.&quot;),\n",
       "a=b);this.value=a}function Ng(a,b,c){rb.call(this,a,b);this.meshPerAttribute=c||1}function Og(a,b,c,d){this.ray=new Vb(a,b);this.near=c||0;this.far=d||Infinity;this.camera=null;this.layers=new He;this.params={Mesh:{},Line:{threshold:1},LOD:{},Points:{threshold:1},Sprite:{}};Object.defineProperties(this.params,{PointCloud:{get:function(){console.warn(&quot;THREE.Raycaster: params.PointCloud has been renamed to params.Points.&quot;);return this.Points}}})}function qi(a,b){return a.distance-b.distance}function Pg(a,\n",
       "b,c,d){a.layers.test(b.layers)&&a.raycast(b,c);if(!0===d){a=a.children;d=0;for(var e=a.length;d<e;d++)Pg(a[d],b,c,!0)}}function ri(a,b,c){this.radius=void 0!==a?a:1;this.phi=void 0!==b?b:0;this.theta=void 0!==c?c:0;return this}function si(a,b,c){this.radius=void 0!==a?a:1;this.theta=void 0!==b?b:0;this.y=void 0!==c?c:0;return this}function Qg(a,b){this.min=void 0!==a?a:new t(Infinity,Infinity);this.max=void 0!==b?b:new t(-Infinity,-Infinity)}function Rg(a,b){this.start=void 0!==a?a:new n;this.end=\n",
       "void 0!==b?b:new n}function re(a){F.call(this);this.material=a;this.render=function(){}}function jd(a,b){F.call(this);this.light=a;this.light.updateMatrixWorld();this.matrix=a.matrixWorld;this.matrixAutoUpdate=!1;this.color=b;a=new C;b=[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(var c=0,d=1;32>c;c++,d++){var e=c/32*Math.PI*2,f=d/32*Math.PI*2;b.push(Math.cos(e),Math.sin(e),1,Math.cos(f),Math.sin(f),1)}a.setAttribute(&quot;position&quot;,new y(b,3));b=new la({fog:!1,toneMapped:!1});this.cone=\n",
       "new ma(a,b);this.add(this.cone);this.update()}function ti(a){var b=[];a&&a.isBone&&b.push(a);for(var c=0;c<a.children.length;c++)b.push.apply(b,ti(a.children[c]));return b}function rc(a){for(var b=ti(a),c=new C,d=[],e=[],f=new A(0,0,1),g=new A(0,1,0),h=0;h<b.length;h++){var l=b[h];l.parent&&l.parent.isBone&&(d.push(0,0,0),d.push(0,0,0),e.push(f.r,f.g,f.b),e.push(g.r,g.g,g.b))}c.setAttribute(&quot;position&quot;,new y(d,3));c.setAttribute(&quot;color&quot;,new y(e,3));d=new la({vertexColors:!0,depthTest:!1,depthWrite:!1,\n",
       "toneMapped:!1,transparent:!0});ma.call(this,c,d);this.root=a;this.bones=b;this.matrix=a.matrixWorld;this.matrixAutoUpdate=!1}function kd(a,b,c){this.light=a;this.light.updateMatrixWorld();this.color=c;a=new gc(b,4,2);b=new Oa({wireframe:!0,fog:!1,toneMapped:!1});S.call(this,a,b);this.matrix=this.light.matrixWorld;this.matrixAutoUpdate=!1;this.update()}function ld(a,b,c){F.call(this);this.light=a;this.light.updateMatrixWorld();this.matrix=a.matrixWorld;this.matrixAutoUpdate=!1;this.color=c;a=new cc(b);\n",
       "a.rotateY(.5*Math.PI);this.material=new Oa({wireframe:!0,fog:!1,toneMapped:!1});void 0===this.color&&(this.material.vertexColors=!0);b=a.getAttribute(&quot;position&quot;);b=new Float32Array(3*b.count);a.setAttribute(&quot;color&quot;,new M(b,3));this.add(new S(a,this.material));this.update()}function wf(a,b,c,d){a=a||10;b=b||10;c=new A(void 0!==c?c:4473924);d=new A(void 0!==d?d:8947848);var e=b/2,f=a/b,g=a/2;a=[];for(var h=[],l=0,m=0,k=-g;l<=b;l++,k+=f){a.push(-g,0,k,g,0,k);a.push(k,0,-g,k,0,g);var p=l===e?c:d;p.toArray(h,\n",
       "m);m+=3;p.toArray(h,m);m+=3;p.toArray(h,m);m+=3;p.toArray(h,m);m+=3}b=new C;b.setAttribute(&quot;position&quot;,new y(a,3));b.setAttribute(&quot;color&quot;,new y(h,3));c=new la({vertexColors:!0,toneMapped:!1});ma.call(this,b,c)}function xf(a,b,c,d,e,f){a=a||10;b=b||16;c=c||8;d=d||64;e=new A(void 0!==e?e:4473924);f=new A(void 0!==f?f:8947848);var g=[],h=[],l;for(l=0;l<=b;l++){var m=l/b*2*Math.PI;var k=Math.sin(m)*a;m=Math.cos(m)*a;g.push(0,0,0);g.push(k,0,m);var p=l&1?e:f;h.push(p.r,p.g,p.b);h.push(p.r,p.g,p.b)}for(l=\n",
       "0;l<=c;l++){p=l&1?e:f;var n=a-a/c*l;for(b=0;b<d;b++)m=b/d*2*Math.PI,k=Math.sin(m)*n,m=Math.cos(m)*n,g.push(k,0,m),h.push(p.r,p.g,p.b),m=(b+1)/d*2*Math.PI,k=Math.sin(m)*n,m=Math.cos(m)*n,g.push(k,0,m),h.push(p.r,p.g,p.b)}a=new C;a.setAttribute(&quot;position&quot;,new y(g,3));a.setAttribute(&quot;color&quot;,new y(h,3));g=new la({vertexColors:!0,toneMapped:!1});ma.call(this,a,g)}function md(a,b,c){F.call(this);this.light=a;this.light.updateMatrixWorld();this.matrix=a.matrixWorld;this.matrixAutoUpdate=!1;this.color=c;\n",
       "void 0===b&&(b=1);a=new C;a.setAttribute(&quot;position&quot;,new y([-b,b,0,b,b,0,b,-b,0,-b,-b,0,-b,b,0],3));b=new la({fog:!1,toneMapped:!1});this.lightPlane=new Ka(a,b);this.add(this.lightPlane);a=new C;a.setAttribute(&quot;position&quot;,new y([0,0,0,0,0,1],3));this.targetLine=new Ka(a,b);this.add(this.targetLine);this.update()}function se(a){function b(a,b,d){c(a,d);c(b,d)}function c(a,b){f.push(0,0,0);g.push(b.r,b.g,b.b);void 0===h[a]&&(h[a]=[]);h[a].push(f.length/3-1)}var d=new C,e=new la({color:16777215,vertexColors:!0,\n",
       "toneMapped:!1}),f=[],g=[],h={},l=new A(16755200),m=new A(16711680),k=new A(43775),p=new A(16777215),n=new A(3355443);b(&quot;n1&quot;,&quot;n2&quot;,l);b(&quot;n2&quot;,&quot;n4&quot;,l);b(&quot;n4&quot;,&quot;n3&quot;,l);b(&quot;n3&quot;,&quot;n1&quot;,l);b(&quot;f1&quot;,&quot;f2&quot;,l);b(&quot;f2&quot;,&quot;f4&quot;,l);b(&quot;f4&quot;,&quot;f3&quot;,l);b(&quot;f3&quot;,&quot;f1&quot;,l);b(&quot;n1&quot;,&quot;f1&quot;,l);b(&quot;n2&quot;,&quot;f2&quot;,l);b(&quot;n3&quot;,&quot;f3&quot;,l);b(&quot;n4&quot;,&quot;f4&quot;,l);b(&quot;p&quot;,&quot;n1&quot;,m);b(&quot;p&quot;,&quot;n2&quot;,m);b(&quot;p&quot;,&quot;n3&quot;,m);b(&quot;p&quot;,&quot;n4&quot;,m);b(&quot;u1&quot;,&quot;u2&quot;,k);b(&quot;u2&quot;,&quot;u3&quot;,k);b(&quot;u3&quot;,&quot;u1&quot;,k);b(&quot;c&quot;,&quot;t&quot;,p);b(&quot;p&quot;,&quot;c&quot;,n);b(&quot;cn1&quot;,&quot;cn2&quot;,n);b(&quot;cn3&quot;,&quot;cn4&quot;,n);b(&quot;cf1&quot;,&quot;cf2&quot;,n);b(&quot;cf3&quot;,&quot;cf4&quot;,n);d.setAttribute(&quot;position&quot;,\n",
       "new y(f,3));d.setAttribute(&quot;color&quot;,new y(g,3));ma.call(this,d,e);this.camera=a;this.camera.updateProjectionMatrix&&this.camera.updateProjectionMatrix();this.matrix=a.matrixWorld;this.matrixAutoUpdate=!1;this.pointMap=h;this.update()}function na(a,b,c,d,e,f,g){yf.set(e,f,g).unproject(d);a=b[a];if(void 0!==a)for(c=c.getAttribute(&quot;position&quot;),b=0,d=a.length;b<d;b++)c.setXYZ(a[b],yf.x,yf.y,yf.z)}function wb(a,b){this.object=a;void 0===b&&(b=16776960);a=new Uint16Array([0,1,1,2,2,3,3,0,4,5,5,6,6,7,7,4,\n",
       "0,4,1,5,2,6,3,7]);var c=new Float32Array(24),d=new C;d.setIndex(new M(a,1));d.setAttribute(&quot;position&quot;,new M(c,3));ma.call(this,d,new la({color:b,toneMapped:!1}));this.matrixAutoUpdate=!1;this.update()}function te(a,b){this.type=&quot;Box3Helper&quot;;this.box=a;b=b||16776960;a=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]);var c=new C;c.setIndex(new M(a,1));c.setAttribute(&quot;position&quot;,new y([1,1,1,-1,1,1,-1,-1,1,1,-1,1,1,1,-1,-1,1,-1,-1,-1,-1,1,-1,-1],3));ma.call(this,c,new la({color:b,toneMapped:!1}));\n",
       "this.geometry.computeBoundingSphere()}function ue(a,b,c){this.type=&quot;PlaneHelper&quot;;this.plane=a;this.size=void 0===b?1:b;a=void 0!==c?c:16776960;b=new C;b.setAttribute(&quot;position&quot;,new y([1,-1,1,-1,1,1,-1,-1,1,1,1,1,-1,1,1,-1,-1,1,1,-1,1,1,1,1,0,0,1,0,0,0],3));b.computeBoundingSphere();Ka.call(this,b,new la({color:a,toneMapped:!1}));b=new C;b.setAttribute(&quot;position&quot;,new y([1,1,1,-1,1,1,-1,-1,1,1,1,1,-1,-1,1,1,-1,1],3));b.computeBoundingSphere();this.add(new S(b,new Oa({color:a,opacity:.2,transparent:!0,\n",
       "depthWrite:!1,toneMapped:!1})))}function xb(a,b,c,d,e,f){F.call(this);void 0===a&&(a=new n(0,0,1));void 0===b&&(b=new n(0,0,0));void 0===c&&(c=1);void 0===d&&(d=16776960);void 0===e&&(e=.2*c);void 0===f&&(f=.2*e);void 0===zf&&(zf=new C,zf.setAttribute(&quot;position&quot;,new y([0,0,0,0,1,0],3)),Sg=new tb(0,.5,1,5,1),Sg.translate(0,-.5,0));this.position.copy(b);this.line=new Ka(zf,new la({color:d,toneMapped:!1}));this.line.matrixAutoUpdate=!1;this.add(this.line);this.cone=new S(Sg,new Oa({color:d,toneMapped:!1}));\n",
       "this.cone.matrixAutoUpdate=!1;this.add(this.cone);this.setDirection(a);this.setLength(c,e,f)}function ve(a){a=a||1;var b=[0,0,0,a,0,0,0,0,0,0,a,0,0,0,0,0,0,a];a=new C;a.setAttribute(&quot;position&quot;,new y(b,3));a.setAttribute(&quot;color&quot;,new y([1,0,0,1,.6,0,0,1,0,.6,1,0,0,0,1,0,.6,1],3));b=new la({vertexColors:!0,toneMapped:!1});ma.call(this,a,b)}function Tg(a){T=a;Ug(Af)}function ui(a){var b={magFilter:1003,minFilter:1003,generateMipmaps:!1,type:a?a.type:1009,format:a?a.format:1023,encoding:a?a.encoding:3002,\n",
       "depthBuffer:!1,stencilBuffer:!1},c=vi(b);c.depthBuffer=a?!1:!0;Bf=vi(b);return c}function wi(a){Bf.dispose();T.setRenderTarget(Vg);a.scissorTest=!1;a.setSize(a.width,a.height)}function Ug(a){var b=new ob;b.add(new S(we[0],a));T.compile(b,Wg)}function vi(a){a=new Ha(3*kb,3*kb,a);a.texture.mapping=306;a.texture.name=&quot;PMREM.cubeUv&quot;;a.scissorTest=!0;return a}function Xg(a,b,c,d,e){a.viewport.set(b,c,d,e);a.scissor.set(b,c,d,e)}function xi(a){var b=T.autoClear;T.autoClear=!1;for(var c=1;c<yi;c++)zi(a,\n",
       "c-1,c,Math.sqrt(Cf[c]*Cf[c]-Cf[c-1]*Cf[c-1]),Ai[(c-1)%Ai.length]);T.autoClear=b}function zi(a,b,c,d,e){Bi(a,Bf,b,c,d,&quot;latitudinal&quot;,e);Bi(Bf,a,c,c,d,&quot;longitudinal&quot;,e)}function Bi(a,b,c,d,e,f,g){&quot;latitudinal&quot;!==f&&&quot;longitudinal&quot;!==f&&console.error(&quot;blur direction must be either latitudinal or longitudinal!&quot;);var h=new ob;h.add(new S(we[d],Af));var l=Af.uniforms,m=Ci[c]-1;m=isFinite(e)?Math.PI/(2*m):2*Math.PI/39;var k=e/m,p=isFinite(e)?1+Math.floor(3*k):20;20<p&&console.warn(&quot;sigmaRadians, &quot;+e+&quot;, is too large and will clip, as it requested &quot;+\n",
       "p+&quot; samples when the maximum is set to 20&quot;);e=[];for(var n=0,r=0;20>r;++r){var q=r/k;q=Math.exp(-q*q/2);e.push(q);0==r?n+=q:r<p&&(n+=2*q)}for(r=0;r<e.length;r++)e[r]/=n;l.envMap.value=a.texture;l.samples.value=p;l.weights.value=e;l.latitudinal.value=&quot;latitudinal&quot;===f;g&&(l.poleAxis.value=g);l.dTheta.value=m;l.mipInt.value=8-c;l.inputEncoding.value=lb[a.texture.encoding];l.outputEncoding.value=lb[a.texture.encoding];a=Ci[d];q=3*Math.max(0,kb-2*a);Xg(b,q,(0===d?0:2*kb)+2*a*(4<d?d-8+4:0),3*a,2*a);T.setRenderTarget(b);\n",
       "T.render(h,Wg)}function Di(){var a=new t(1,1);a=new ub({uniforms:{envMap:{value:null},texelSize:{value:a},inputEncoding:{value:lb[3E3]},outputEncoding:{value:lb[3E3]}},vertexShader:Yg(),fragmentShader:&quot;\\nprecision mediump float;\\nprecision mediump int;\\nvarying vec3 vOutputDirection;\\nuniform sampler2D envMap;\\nuniform vec2 texelSize;\\n\\n&quot;+Zg()+&quot;\\n\\n#define RECIPROCAL_PI 0.31830988618\\n#define RECIPROCAL_PI2 0.15915494\\n\\nvoid main() {\\n\\tgl_FragColor = vec4(0.0);\\n\\tvec3 outputDirection = normalize(vOutputDirection);\\n\\tvec2 uv;\\n\\tuv.y = asin(clamp(outputDirection.y, -1.0, 1.0)) * RECIPROCAL_PI + 0.5;\\n\\tuv.x = atan(outputDirection.z, outputDirection.x) * RECIPROCAL_PI2 + 0.5;\\n\\tvec2 f = fract(uv / texelSize - 0.5);\\n\\tuv -= f * texelSize;\\n\\tvec3 tl = envMapTexelToLinear(texture2D(envMap, uv)).rgb;\\n\\tuv.x += texelSize.x;\\n\\tvec3 tr = envMapTexelToLinear(texture2D(envMap, uv)).rgb;\\n\\tuv.y += texelSize.y;\\n\\tvec3 br = envMapTexelToLinear(texture2D(envMap, uv)).rgb;\\n\\tuv.x -= texelSize.x;\\n\\tvec3 bl = envMapTexelToLinear(texture2D(envMap, uv)).rgb;\\n\\tvec3 tm = mix(tl, tr, f.x);\\n\\tvec3 bm = mix(bl, br, f.x);\\n\\tgl_FragColor.rgb = mix(tm, bm, f.y);\\n\\tgl_FragColor = linearToOutputTexel(gl_FragColor);\\n}\\n\\t\\t&quot;,\n",
       "blending:0,depthTest:!1,depthWrite:!1});a.type=&quot;EquirectangularToCubeUV&quot;;return a}function Ei(){var a=new ub({uniforms:{envMap:{value:null},inputEncoding:{value:lb[3E3]},outputEncoding:{value:lb[3E3]}},vertexShader:Yg(),fragmentShader:&quot;\\nprecision mediump float;\\nprecision mediump int;\\nvarying vec3 vOutputDirection;\\nuniform samplerCube envMap;\\n\\n&quot;+Zg()+&quot;\\n\\nvoid main() {\\n\\tgl_FragColor = vec4(0.0);\\n\\tgl_FragColor.rgb = envMapTexelToLinear(textureCube(envMap, vec3( - vOutputDirection.x, vOutputDirection.yz ))).rgb;\\n\\tgl_FragColor = linearToOutputTexel(gl_FragColor);\\n}\\n\\t\\t&quot;,\n",
       "blending:0,depthTest:!1,depthWrite:!1});a.type=&quot;CubemapToCubeUV&quot;;return a}function Yg(){return&quot;\\nprecision mediump float;\\nprecision mediump int;\\nattribute vec3 position;\\nattribute vec2 uv;\\nattribute float faceIndex;\\nvarying vec3 vOutputDirection;\\nvec3 getDirection(vec2 uv, float face) {\\n\\tuv = 2.0 * uv - 1.0;\\n\\tvec3 direction = vec3(uv, 1.0);\\n\\tif (face == 0.0) {\\n\\t\\tdirection = direction.zyx;\\n\\t\\tdirection.z *= -1.0;\\n\\t} else if (face == 1.0) {\\n\\t\\tdirection = direction.xzy;\\n\\t\\tdirection.z *= -1.0;\\n\\t} else if (face == 3.0) {\\n\\t\\tdirection = direction.zyx;\\n\\t\\tdirection.x *= -1.0;\\n\\t} else if (face == 4.0) {\\n\\t\\tdirection = direction.xzy;\\n\\t\\tdirection.y *= -1.0;\\n\\t} else if (face == 5.0) {\\n\\t\\tdirection.xz *= -1.0;\\n\\t}\\n\\treturn direction;\\n}\\nvoid main() {\\n\\tvOutputDirection = getDirection(uv, faceIndex);\\n\\tgl_Position = vec4( position, 1.0 );\\n}\\n\\t&quot;}\n",
       "function Zg(){return&quot;\\nuniform int inputEncoding;\\nuniform int outputEncoding;\\n\\n#include <encodings_pars_fragment>\\n\\nvec4 inputTexelToLinear(vec4 value){\\n\\tif(inputEncoding == 0){\\n\\t\\treturn value;\\n\\t}else if(inputEncoding == 1){\\n\\t\\treturn sRGBToLinear(value);\\n\\t}else if(inputEncoding == 2){\\n\\t\\treturn RGBEToLinear(value);\\n\\t}else if(inputEncoding == 3){\\n\\t\\treturn RGBMToLinear(value, 7.0);\\n\\t}else if(inputEncoding == 4){\\n\\t\\treturn RGBMToLinear(value, 16.0);\\n\\t}else if(inputEncoding == 5){\\n\\t\\treturn RGBDToLinear(value, 256.0);\\n\\t}else{\\n\\t\\treturn GammaToLinear(value, 2.2);\\n\\t}\\n}\\n\\nvec4 linearToOutputTexel(vec4 value){\\n\\tif(outputEncoding == 0){\\n\\t\\treturn value;\\n\\t}else if(outputEncoding == 1){\\n\\t\\treturn LinearTosRGB(value);\\n\\t}else if(outputEncoding == 2){\\n\\t\\treturn LinearToRGBE(value);\\n\\t}else if(outputEncoding == 3){\\n\\t\\treturn LinearToRGBM(value, 7.0);\\n\\t}else if(outputEncoding == 4){\\n\\t\\treturn LinearToRGBM(value, 16.0);\\n\\t}else if(outputEncoding == 5){\\n\\t\\treturn LinearToRGBD(value, 256.0);\\n\\t}else{\\n\\t\\treturn LinearToGamma(value, 2.2);\\n\\t}\\n}\\n\\nvec4 envMapTexelToLinear(vec4 color) {\\n\\treturn inputTexelToLinear(color);\\n}\\n\\t&quot;}\n",
       "function Fi(a){console.warn(&quot;THREE.ClosedSplineCurve3 has been deprecated. Use THREE.CatmullRomCurve3 instead.&quot;);pa.call(this,a);this.type=&quot;catmullrom&quot;;this.closed=!0}function Gi(a){console.warn(&quot;THREE.SplineCurve3 has been deprecated. Use THREE.CatmullRomCurve3 instead.&quot;);pa.call(this,a);this.type=&quot;catmullrom&quot;}function $g(a){console.warn(&quot;THREE.Spline has been removed. Use THREE.CatmullRomCurve3 instead.&quot;);pa.call(this,a);this.type=&quot;catmullrom&quot;}void 0===Number.EPSILON&&(Number.EPSILON=Math.pow(2,\n",
       "-52));void 0===Number.isInteger&&(Number.isInteger=function(a){return&quot;number&quot;===typeof a&&isFinite(a)&&Math.floor(a)===a});void 0===Math.sign&&(Math.sign=function(a){return 0>a?-1:0<a?1:+a});!1===&quot;name&quot;in Function.prototype&&Object.defineProperty(Function.prototype,&quot;name&quot;,{get:function(){return this.toString().match(/^\\s*function\\s*([^\\(\\s]*)/)[1]}});void 0===Object.assign&&(Object.assign=function(a){if(void 0===a||null===a)throw new TypeError(&quot;Cannot convert undefined or null to object&quot;);for(var b=\n",
       "Object(a),c=1;c<arguments.length;c++){var d=arguments[c];if(void 0!==d&&null!==d)for(var e in d)Object.prototype.hasOwnProperty.call(d,e)&&(b[e]=d[e])}return b});Object.assign(Ea.prototype,{addEventListener:function(a,b){void 0===this._listeners&&(this._listeners={});var c=this._listeners;void 0===c[a]&&(c[a]=[]);-1===c[a].indexOf(b)&&c[a].push(b)},hasEventListener:function(a,b){if(void 0===this._listeners)return!1;var c=this._listeners;return void 0!==c[a]&&-1!==c[a].indexOf(b)},removeEventListener:function(a,\n",
       "b){void 0!==this._listeners&&(a=this._listeners[a],void 0!==a&&(b=a.indexOf(b),-1!==b&&a.splice(b,1)))},dispatchEvent:function(a){if(void 0!==this._listeners){var b=this._listeners[a.type];if(void 0!==b){a.target=this;b=b.slice(0);for(var c=0,d=b.length;c<d;c++)b[c].call(this,a)}}}});for(var ta=[],xe=0;256>xe;xe++)ta[xe]=(16>xe?&quot;0&quot;:&quot;&quot;)+xe.toString(16);var L={DEG2RAD:Math.PI/180,RAD2DEG:180/Math.PI,generateUUID:function(){var a=4294967295*Math.random()|0,b=4294967295*Math.random()|0,c=4294967295*Math.random()|\n",
       "0,d=4294967295*Math.random()|0;return(ta[a&255]+ta[a>>8&255]+ta[a>>16&255]+ta[a>>24&255]+&quot;-&quot;+ta[b&255]+ta[b>>8&255]+&quot;-&quot;+ta[b>>16&15|64]+ta[b>>24&255]+&quot;-&quot;+ta[c&63|128]+ta[c>>8&255]+&quot;-&quot;+ta[c>>16&255]+ta[c>>24&255]+ta[d&255]+ta[d>>8&255]+ta[d>>16&255]+ta[d>>24&255]).toUpperCase()},clamp:function(a,b,c){return Math.max(b,Math.min(c,a))},euclideanModulo:function(a,b){return(a%b+b)%b},mapLinear:function(a,b,c,d,e){return d+(a-b)*(e-d)/(c-b)},lerp:function(a,b,c){return(1-c)*a+c*b},smoothstep:function(a,\n",
       "b,c){if(a<=b)return 0;if(a>=c)return 1;a=(a-b)/(c-b);return a*a*(3-2*a)},smootherstep:function(a,b,c){if(a<=b)return 0;if(a>=c)return 1;a=(a-b)/(c-b);return a*a*a*(a*(6*a-15)+10)},randInt:function(a,b){return a+Math.floor(Math.random()*(b-a+1))},randFloat:function(a,b){return a+Math.random()*(b-a)},randFloatSpread:function(a){return a*(.5-Math.random())},degToRad:function(a){return a*L.DEG2RAD},radToDeg:function(a){return a*L.RAD2DEG},isPowerOfTwo:function(a){return 0===(a&a-1)&&0!==a},ceilPowerOfTwo:function(a){return Math.pow(2,\n",
       "Math.ceil(Math.log(a)/Math.LN2))},floorPowerOfTwo:function(a){return Math.pow(2,Math.floor(Math.log(a)/Math.LN2))},setQuaternionFromProperEuler:function(a,b,c,d,e){var f=Math.cos,g=Math.sin,h=f(c/2);c=g(c/2);var l=f((b+d)/2),m=g((b+d)/2),k=f((b-d)/2),p=g((b-d)/2);f=f((d-b)/2);b=g((d-b)/2);&quot;XYX&quot;===e?a.set(h*m,c*k,c*p,h*l):&quot;YZY&quot;===e?a.set(c*p,h*m,c*k,h*l):&quot;ZXZ&quot;===e?a.set(c*k,c*p,h*m,h*l):&quot;XZX&quot;===e?a.set(h*m,c*b,c*f,h*l):&quot;YXY&quot;===e?a.set(c*f,h*m,c*b,h*l):&quot;ZYZ&quot;===e?a.set(c*b,c*f,h*m,h*l):console.warn(&quot;THREE.MathUtils: .setQuaternionFromProperEuler() encountered an unknown order.&quot;)}};\n",
       "Object.defineProperties(t.prototype,{width:{get:function(){return this.x},set:function(a){this.x=a}},height:{get:function(){return this.y},set:function(a){this.y=a}}});Object.assign(t.prototype,{isVector2:!0,set:function(a,b){this.x=a;this.y=b;return this},setScalar:function(a){this.y=this.x=a;return this},setX:function(a){this.x=a;return this},setY:function(a){this.y=a;return this},setComponent:function(a,b){switch(a){case 0:this.x=b;break;case 1:this.y=b;break;default:throw Error(&quot;index is out of range: &quot;+\n",
       "a);}return this},getComponent:function(a){switch(a){case 0:return this.x;case 1:return this.y;default:throw Error(&quot;index is out of range: &quot;+a);}},clone:function(){return new this.constructor(this.x,this.y)},copy:function(a){this.x=a.x;this.y=a.y;return this},add:function(a,b){if(void 0!==b)return console.warn(&quot;THREE.Vector2: .add() now only accepts one argument. Use .addVectors( a, b ) instead.&quot;),this.addVectors(a,b);this.x+=a.x;this.y+=a.y;return this},addScalar:function(a){this.x+=a;this.y+=a;return this},\n",
       "addVectors:function(a,b){this.x=a.x+b.x;this.y=a.y+b.y;return this},addScaledVector:function(a,b){this.x+=a.x*b;this.y+=a.y*b;return this},sub:function(a,b){if(void 0!==b)return console.warn(&quot;THREE.Vector2: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.&quot;),this.subVectors(a,b);this.x-=a.x;this.y-=a.y;return this},subScalar:function(a){this.x-=a;this.y-=a;return this},subVectors:function(a,b){this.x=a.x-b.x;this.y=a.y-b.y;return this},multiply:function(a){this.x*=a.x;this.y*=\n",
       "a.y;return this},multiplyScalar:function(a){this.x*=a;this.y*=a;return this},divide:function(a){this.x/=a.x;this.y/=a.y;return this},divideScalar:function(a){return this.multiplyScalar(1/a)},applyMatrix3:function(a){var b=this.x,c=this.y;a=a.elements;this.x=a[0]*b+a[3]*c+a[6];this.y=a[1]*b+a[4]*c+a[7];return this},min:function(a){this.x=Math.min(this.x,a.x);this.y=Math.min(this.y,a.y);return this},max:function(a){this.x=Math.max(this.x,a.x);this.y=Math.max(this.y,a.y);return this},clamp:function(a,\n",
       "b){this.x=Math.max(a.x,Math.min(b.x,this.x));this.y=Math.max(a.y,Math.min(b.y,this.y));return this},clampScalar:function(a,b){this.x=Math.max(a,Math.min(b,this.x));this.y=Math.max(a,Math.min(b,this.y));return this},clampLength:function(a,b){var c=this.length();return this.divideScalar(c||1).multiplyScalar(Math.max(a,Math.min(b,c)))},floor:function(){this.x=Math.floor(this.x);this.y=Math.floor(this.y);return this},ceil:function(){this.x=Math.ceil(this.x);this.y=Math.ceil(this.y);return this},round:function(){this.x=\n",
       "Math.round(this.x);this.y=Math.round(this.y);return this},roundToZero:function(){this.x=0>this.x?Math.ceil(this.x):Math.floor(this.x);this.y=0>this.y?Math.ceil(this.y):Math.floor(this.y);return this},negate:function(){this.x=-this.x;this.y=-this.y;return this},dot:function(a){return this.x*a.x+this.y*a.y},cross:function(a){return this.x*a.y-this.y*a.x},lengthSq:function(){return this.x*this.x+this.y*this.y},length:function(){return Math.sqrt(this.x*this.x+this.y*this.y)},manhattanLength:function(){return Math.abs(this.x)+\n",
       "Math.abs(this.y)},normalize:function(){return this.divideScalar(this.length()||1)},angle:function(){return Math.atan2(-this.y,-this.x)+Math.PI},distanceTo:function(a){return Math.sqrt(this.distanceToSquared(a))},distanceToSquared:function(a){var b=this.x-a.x;a=this.y-a.y;return b*b+a*a},manhattanDistanceTo:function(a){return Math.abs(this.x-a.x)+Math.abs(this.y-a.y)},setLength:function(a){return this.normalize().multiplyScalar(a)},lerp:function(a,b){this.x+=(a.x-this.x)*b;this.y+=(a.y-this.y)*b;return this},\n",
       "lerpVectors:function(a,b,c){return this.subVectors(b,a).multiplyScalar(c).add(a)},equals:function(a){return a.x===this.x&&a.y===this.y},fromArray:function(a,b){void 0===b&&(b=0);this.x=a[b];this.y=a[b+1];return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);a[b]=this.x;a[b+1]=this.y;return a},fromBufferAttribute:function(a,b,c){void 0!==c&&console.warn(&quot;THREE.Vector2: offset has been removed from .fromBufferAttribute().&quot;);this.x=a.getX(b);this.y=a.getY(b);return this},rotateAround:function(a,\n",
       "b){var c=Math.cos(b);b=Math.sin(b);var d=this.x-a.x,e=this.y-a.y;this.x=d*c-e*b+a.x;this.y=d*b+e*c+a.y;return this}});Object.assign(wa.prototype,{isMatrix3:!0,set:function(a,b,c,d,e,f,g,h,l){var m=this.elements;m[0]=a;m[1]=d;m[2]=g;m[3]=b;m[4]=e;m[5]=h;m[6]=c;m[7]=f;m[8]=l;return this},identity:function(){this.set(1,0,0,0,1,0,0,0,1);return this},clone:function(){return(new this.constructor).fromArray(this.elements)},copy:function(a){var b=this.elements;a=a.elements;b[0]=a[0];b[1]=a[1];b[2]=a[2];b[3]=\n",
       "a[3];b[4]=a[4];b[5]=a[5];b[6]=a[6];b[7]=a[7];b[8]=a[8];return this},extractBasis:function(a,b,c){a.setFromMatrix3Column(this,0);b.setFromMatrix3Column(this,1);c.setFromMatrix3Column(this,2);return this},setFromMatrix4:function(a){a=a.elements;this.set(a[0],a[4],a[8],a[1],a[5],a[9],a[2],a[6],a[10]);return this},multiply:function(a){return this.multiplyMatrices(this,a)},premultiply:function(a){return this.multiplyMatrices(a,this)},multiplyMatrices:function(a,b){var c=a.elements,d=b.elements;b=this.elements;\n",
       "a=c[0];var e=c[3],f=c[6],g=c[1],h=c[4],l=c[7],m=c[2],k=c[5];c=c[8];var p=d[0],n=d[3],r=d[6],q=d[1],v=d[4],E=d[7],w=d[2],t=d[5];d=d[8];b[0]=a*p+e*q+f*w;b[3]=a*n+e*v+f*t;b[6]=a*r+e*E+f*d;b[1]=g*p+h*q+l*w;b[4]=g*n+h*v+l*t;b[7]=g*r+h*E+l*d;b[2]=m*p+k*q+c*w;b[5]=m*n+k*v+c*t;b[8]=m*r+k*E+c*d;return this},multiplyScalar:function(a){var b=this.elements;b[0]*=a;b[3]*=a;b[6]*=a;b[1]*=a;b[4]*=a;b[7]*=a;b[2]*=a;b[5]*=a;b[8]*=a;return this},determinant:function(){var a=this.elements,b=a[0],c=a[1],d=a[2],e=a[3],\n",
       "f=a[4],g=a[5],h=a[6],l=a[7];a=a[8];return b*f*a-b*g*l-c*e*a+c*g*h+d*e*l-d*f*h},getInverse:function(a,b){void 0!==b&&console.warn(&quot;THREE.Matrix3: .getInverse() can no longer be configured to throw on degenerate.&quot;);var c=a.elements;a=this.elements;b=c[0];var d=c[1],e=c[2],f=c[3],g=c[4],h=c[5],l=c[6],m=c[7];c=c[8];var k=c*g-h*m,p=h*l-c*f,n=m*f-g*l,r=b*k+d*p+e*n;if(0===r)return this.set(0,0,0,0,0,0,0,0,0);r=1/r;a[0]=k*r;a[1]=(e*m-c*d)*r;a[2]=(h*d-e*g)*r;a[3]=p*r;a[4]=(c*b-e*l)*r;a[5]=(e*f-h*b)*r;a[6]=\n",
       "n*r;a[7]=(d*l-m*b)*r;a[8]=(g*b-d*f)*r;return this},transpose:function(){var a=this.elements;var b=a[1];a[1]=a[3];a[3]=b;b=a[2];a[2]=a[6];a[6]=b;b=a[5];a[5]=a[7];a[7]=b;return this},getNormalMatrix:function(a){return this.setFromMatrix4(a).getInverse(this).transpose()},transposeIntoArray:function(a){var b=this.elements;a[0]=b[0];a[1]=b[3];a[2]=b[6];a[3]=b[1];a[4]=b[4];a[5]=b[7];a[6]=b[2];a[7]=b[5];a[8]=b[8];return this},setUvTransform:function(a,b,c,d,e,f,g){var h=Math.cos(e);e=Math.sin(e);this.set(c*\n",
       "h,c*e,-c*(h*f+e*g)+f+a,-d*e,d*h,-d*(-e*f+h*g)+g+b,0,0,1)},scale:function(a,b){var c=this.elements;c[0]*=a;c[3]*=a;c[6]*=a;c[1]*=b;c[4]*=b;c[7]*=b;return this},rotate:function(a){var b=Math.cos(a);a=Math.sin(a);var c=this.elements,d=c[0],e=c[3],f=c[6],g=c[1],h=c[4],l=c[7];c[0]=b*d+a*g;c[3]=b*e+a*h;c[6]=b*f+a*l;c[1]=-a*d+b*g;c[4]=-a*e+b*h;c[7]=-a*f+b*l;return this},translate:function(a,b){var c=this.elements;c[0]+=a*c[2];c[3]+=a*c[5];c[6]+=a*c[8];c[1]+=b*c[2];c[4]+=b*c[5];c[7]+=b*c[8];return this},\n",
       "equals:function(a){var b=this.elements;a=a.elements;for(var c=0;9>c;c++)if(b[c]!==a[c])return!1;return!0},fromArray:function(a,b){void 0===b&&(b=0);for(var c=0;9>c;c++)this.elements[c]=a[c+b];return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);var c=this.elements;a[b]=c[0];a[b+1]=c[1];a[b+2]=c[2];a[b+3]=c[3];a[b+4]=c[4];a[b+5]=c[5];a[b+6]=c[6];a[b+7]=c[7];a[b+8]=c[8];return a}});var nd,Lb={getDataURL:function(a){if(&quot;undefined&quot;==typeof HTMLCanvasElement)return a.src;if(!(a instanceof\n",
       "HTMLCanvasElement)){void 0===nd&&(nd=document.createElementNS(&quot;http://www.w3.org/1999/xhtml&quot;,&quot;canvas&quot;));nd.width=a.width;nd.height=a.height;var b=nd.getContext(&quot;2d&quot;);a instanceof ImageData?b.putImageData(a,0,0):b.drawImage(a,0,0,a.width,a.height);a=nd}return 2048<a.width||2048<a.height?a.toDataURL(&quot;image/jpeg&quot;,.6):a.toDataURL(&quot;image/png&quot;)}},pj=0;V.DEFAULT_IMAGE=void 0;V.DEFAULT_MAPPING=300;V.prototype=Object.assign(Object.create(Ea.prototype),{constructor:V,isTexture:!0,updateMatrix:function(){this.matrix.setUvTransform(this.offset.x,\n",
       "this.offset.y,this.repeat.x,this.repeat.y,this.rotation,this.center.x,this.center.y)},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.name=a.name;this.image=a.image;this.mipmaps=a.mipmaps.slice(0);this.mapping=a.mapping;this.wrapS=a.wrapS;this.wrapT=a.wrapT;this.magFilter=a.magFilter;this.minFilter=a.minFilter;this.anisotropy=a.anisotropy;this.format=a.format;this.internalFormat=a.internalFormat;this.type=a.type;this.offset.copy(a.offset);this.repeat.copy(a.repeat);\n",
       "this.center.copy(a.center);this.rotation=a.rotation;this.matrixAutoUpdate=a.matrixAutoUpdate;this.matrix.copy(a.matrix);this.generateMipmaps=a.generateMipmaps;this.premultiplyAlpha=a.premultiplyAlpha;this.flipY=a.flipY;this.unpackAlignment=a.unpackAlignment;this.encoding=a.encoding;return this},toJSON:function(a){var b=void 0===a||&quot;string&quot;===typeof a;if(!b&&void 0!==a.textures[this.uuid])return a.textures[this.uuid];var c={metadata:{version:4.5,type:&quot;Texture&quot;,generator:&quot;Texture.toJSON&quot;},uuid:this.uuid,\n",
       "name:this.name,mapping:this.mapping,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,type:this.type,encoding:this.encoding,minFilter:this.minFilter,magFilter:this.magFilter,anisotropy:this.anisotropy,flipY:this.flipY,premultiplyAlpha:this.premultiplyAlpha,unpackAlignment:this.unpackAlignment};if(void 0!==this.image){var d=this.image;void 0===d.uuid&&(d.uuid=L.generateUUID());\n",
       "if(!b&&void 0===a.images[d.uuid]){if(Array.isArray(d)){var e=[];for(var f=0,g=d.length;f<g;f++)e.push(Lb.getDataURL(d[f]))}else e=Lb.getDataURL(d);a.images[d.uuid]={uuid:d.uuid,url:e}}c.image=d.uuid}b||(a.textures[this.uuid]=c);return c},dispose:function(){this.dispatchEvent({type:&quot;dispose&quot;})},transformUv:function(a){if(300!==this.mapping)return a;a.applyMatrix3(this.matrix);if(0>a.x||1<a.x)switch(this.wrapS){case 1E3:a.x-=Math.floor(a.x);break;case 1001:a.x=0>a.x?0:1;break;case 1002:a.x=1===Math.abs(Math.floor(a.x)%\n",
       "2)?Math.ceil(a.x)-a.x:a.x-Math.floor(a.x)}if(0>a.y||1<a.y)switch(this.wrapT){case 1E3:a.y-=Math.floor(a.y);break;case 1001:a.y=0>a.y?0:1;break;case 1002:a.y=1===Math.abs(Math.floor(a.y)%2)?Math.ceil(a.y)-a.y:a.y-Math.floor(a.y)}this.flipY&&(a.y=1-a.y);return a}});Object.defineProperty(V.prototype,&quot;needsUpdate&quot;,{set:function(a){!0===a&&this.version++}});Object.defineProperties(ka.prototype,{width:{get:function(){return this.z},set:function(a){this.z=a}},height:{get:function(){return this.w},set:function(a){this.w=\n",
       "a}}});Object.assign(ka.prototype,{isVector4:!0,set:function(a,b,c,d){this.x=a;this.y=b;this.z=c;this.w=d;return this},setScalar:function(a){this.w=this.z=this.y=this.x=a;return this},setX:function(a){this.x=a;return this},setY:function(a){this.y=a;return this},setZ:function(a){this.z=a;return this},setW:function(a){this.w=a;return this},setComponent:function(a,b){switch(a){case 0:this.x=b;break;case 1:this.y=b;break;case 2:this.z=b;break;case 3:this.w=b;break;default:throw Error(&quot;index is out of range: &quot;+\n",
       "a);}return this},getComponent:function(a){switch(a){case 0:return this.x;case 1:return this.y;case 2:return this.z;case 3:return this.w;default:throw Error(&quot;index is out of range: &quot;+a);}},clone:function(){return new this.constructor(this.x,this.y,this.z,this.w)},copy:function(a){this.x=a.x;this.y=a.y;this.z=a.z;this.w=void 0!==a.w?a.w:1;return this},add:function(a,b){if(void 0!==b)return console.warn(&quot;THREE.Vector4: .add() now only accepts one argument. Use .addVectors( a, b ) instead.&quot;),this.addVectors(a,\n",
       "b);this.x+=a.x;this.y+=a.y;this.z+=a.z;this.w+=a.w;return this},addScalar:function(a){this.x+=a;this.y+=a;this.z+=a;this.w+=a;return this},addVectors:function(a,b){this.x=a.x+b.x;this.y=a.y+b.y;this.z=a.z+b.z;this.w=a.w+b.w;return this},addScaledVector:function(a,b){this.x+=a.x*b;this.y+=a.y*b;this.z+=a.z*b;this.w+=a.w*b;return this},sub:function(a,b){if(void 0!==b)return console.warn(&quot;THREE.Vector4: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.&quot;),this.subVectors(a,b);this.x-=\n",
       "a.x;this.y-=a.y;this.z-=a.z;this.w-=a.w;return this},subScalar:function(a){this.x-=a;this.y-=a;this.z-=a;this.w-=a;return this},subVectors:function(a,b){this.x=a.x-b.x;this.y=a.y-b.y;this.z=a.z-b.z;this.w=a.w-b.w;return this},multiplyScalar:function(a){this.x*=a;this.y*=a;this.z*=a;this.w*=a;return this},applyMatrix4:function(a){var b=this.x,c=this.y,d=this.z,e=this.w;a=a.elements;this.x=a[0]*b+a[4]*c+a[8]*d+a[12]*e;this.y=a[1]*b+a[5]*c+a[9]*d+a[13]*e;this.z=a[2]*b+a[6]*c+a[10]*d+a[14]*e;this.w=a[3]*\n",
       "b+a[7]*c+a[11]*d+a[15]*e;return this},divideScalar:function(a){return this.multiplyScalar(1/a)},setAxisAngleFromQuaternion:function(a){this.w=2*Math.acos(a.w);var b=Math.sqrt(1-a.w*a.w);1E-4>b?(this.x=1,this.z=this.y=0):(this.x=a.x/b,this.y=a.y/b,this.z=a.z/b);return this},setAxisAngleFromRotationMatrix:function(a){a=a.elements;var b=a[0];var c=a[4];var d=a[8],e=a[1],f=a[5],g=a[9];var h=a[2];var l=a[6];var m=a[10];if(.01>Math.abs(c-e)&&.01>Math.abs(d-h)&&.01>Math.abs(g-l)){if(.1>Math.abs(c+e)&&.1>\n",
       "Math.abs(d+h)&&.1>Math.abs(g+l)&&.1>Math.abs(b+f+m-3))return this.set(1,0,0,0),this;a=Math.PI;b=(b+1)/2;f=(f+1)/2;m=(m+1)/2;c=(c+e)/4;d=(d+h)/4;g=(g+l)/4;b>f&&b>m?.01>b?(l=0,c=h=.707106781):(l=Math.sqrt(b),h=c/l,c=d/l):f>m?.01>f?(l=.707106781,h=0,c=.707106781):(h=Math.sqrt(f),l=c/h,c=g/h):.01>m?(h=l=.707106781,c=0):(c=Math.sqrt(m),l=d/c,h=g/c);this.set(l,h,c,a);return this}a=Math.sqrt((l-g)*(l-g)+(d-h)*(d-h)+(e-c)*(e-c));.001>Math.abs(a)&&(a=1);this.x=(l-g)/a;this.y=(d-h)/a;this.z=(e-c)/a;this.w=\n",
       "Math.acos((b+f+m-1)/2);return this},min:function(a){this.x=Math.min(this.x,a.x);this.y=Math.min(this.y,a.y);this.z=Math.min(this.z,a.z);this.w=Math.min(this.w,a.w);return this},max:function(a){this.x=Math.max(this.x,a.x);this.y=Math.max(this.y,a.y);this.z=Math.max(this.z,a.z);this.w=Math.max(this.w,a.w);return this},clamp:function(a,b){this.x=Math.max(a.x,Math.min(b.x,this.x));this.y=Math.max(a.y,Math.min(b.y,this.y));this.z=Math.max(a.z,Math.min(b.z,this.z));this.w=Math.max(a.w,Math.min(b.w,this.w));\n",
       "return this},clampScalar:function(a,b){this.x=Math.max(a,Math.min(b,this.x));this.y=Math.max(a,Math.min(b,this.y));this.z=Math.max(a,Math.min(b,this.z));this.w=Math.max(a,Math.min(b,this.w));return this},clampLength:function(a,b){var c=this.length();return this.divideScalar(c||1).multiplyScalar(Math.max(a,Math.min(b,c)))},floor:function(){this.x=Math.floor(this.x);this.y=Math.floor(this.y);this.z=Math.floor(this.z);this.w=Math.floor(this.w);return this},ceil:function(){this.x=Math.ceil(this.x);this.y=\n",
       "Math.ceil(this.y);this.z=Math.ceil(this.z);this.w=Math.ceil(this.w);return this},round:function(){this.x=Math.round(this.x);this.y=Math.round(this.y);this.z=Math.round(this.z);this.w=Math.round(this.w);return this},roundToZero:function(){this.x=0>this.x?Math.ceil(this.x):Math.floor(this.x);this.y=0>this.y?Math.ceil(this.y):Math.floor(this.y);this.z=0>this.z?Math.ceil(this.z):Math.floor(this.z);this.w=0>this.w?Math.ceil(this.w):Math.floor(this.w);return this},negate:function(){this.x=-this.x;this.y=\n",
       "-this.y;this.z=-this.z;this.w=-this.w;return this},dot:function(a){return this.x*a.x+this.y*a.y+this.z*a.z+this.w*a.w},lengthSq:function(){return this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w},length:function(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w)},manhattanLength:function(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)+Math.abs(this.w)},normalize:function(){return this.divideScalar(this.length()||1)},setLength:function(a){return this.normalize().multiplyScalar(a)},\n",
       "lerp:function(a,b){this.x+=(a.x-this.x)*b;this.y+=(a.y-this.y)*b;this.z+=(a.z-this.z)*b;this.w+=(a.w-this.w)*b;return this},lerpVectors:function(a,b,c){return this.subVectors(b,a).multiplyScalar(c).add(a)},equals:function(a){return a.x===this.x&&a.y===this.y&&a.z===this.z&&a.w===this.w},fromArray:function(a,b){void 0===b&&(b=0);this.x=a[b];this.y=a[b+1];this.z=a[b+2];this.w=a[b+3];return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);a[b]=this.x;a[b+1]=this.y;a[b+2]=this.z;a[b+3]=\n",
       "this.w;return a},fromBufferAttribute:function(a,b,c){void 0!==c&&console.warn(&quot;THREE.Vector4: offset has been removed from .fromBufferAttribute().&quot;);this.x=a.getX(b);this.y=a.getY(b);this.z=a.getZ(b);this.w=a.getW(b);return this}});Ha.prototype=Object.assign(Object.create(Ea.prototype),{constructor:Ha,isWebGLRenderTarget:!0,setSize:function(a,b){if(this.width!==a||this.height!==b)this.width=a,this.height=b,this.texture.image.width=a,this.texture.image.height=b,this.dispose();this.viewport.set(0,0,\n",
       "a,b);this.scissor.set(0,0,a,b)},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.width=a.width;this.height=a.height;this.viewport.copy(a.viewport);this.texture=a.texture.clone();this.depthBuffer=a.depthBuffer;this.stencilBuffer=a.stencilBuffer;this.depthTexture=a.depthTexture;return this},dispose:function(){this.dispatchEvent({type:&quot;dispose&quot;})}});Zf.prototype=Object.assign(Object.create(Ha.prototype),{constructor:Zf,isWebGLMultisampleRenderTarget:!0,copy:function(a){Ha.prototype.copy.call(this,\n",
       "a);this.samples=a.samples;return this}});Object.assign(Aa,{slerp:function(a,b,c,d){return c.copy(a).slerp(b,d)},slerpFlat:function(a,b,c,d,e,f,g){var h=c[d+0],l=c[d+1],m=c[d+2];c=c[d+3];d=e[f+0];var k=e[f+1],p=e[f+2];e=e[f+3];if(c!==e||h!==d||l!==k||m!==p){f=1-g;var n=h*d+l*k+m*p+c*e,r=0<=n?1:-1,q=1-n*n;q>Number.EPSILON&&(q=Math.sqrt(q),n=Math.atan2(q,n*r),f=Math.sin(f*n)/q,g=Math.sin(g*n)/q);r*=g;h=h*f+d*r;l=l*f+k*r;m=m*f+p*r;c=c*f+e*r;f===1-g&&(g=1/Math.sqrt(h*h+l*l+m*m+c*c),h*=g,l*=g,m*=g,c*=g)}a[b]=\n",
       "h;a[b+1]=l;a[b+2]=m;a[b+3]=c}});Object.defineProperties(Aa.prototype,{x:{get:function(){return this._x},set:function(a){this._x=a;this._onChangeCallback()}},y:{get:function(){return this._y},set:function(a){this._y=a;this._onChangeCallback()}},z:{get:function(){return this._z},set:function(a){this._z=a;this._onChangeCallback()}},w:{get:function(){return this._w},set:function(a){this._w=a;this._onChangeCallback()}}});Object.assign(Aa.prototype,{isQuaternion:!0,set:function(a,b,c,d){this._x=a;this._y=\n",
       "b;this._z=c;this._w=d;this._onChangeCallback();return this},clone:function(){return new this.constructor(this._x,this._y,this._z,this._w)},copy:function(a){this._x=a.x;this._y=a.y;this._z=a.z;this._w=a.w;this._onChangeCallback();return this},setFromEuler:function(a,b){if(!a||!a.isEuler)throw Error(&quot;THREE.Quaternion: .setFromEuler() now expects an Euler rotation rather than a Vector3 and order.&quot;);var c=a._x,d=a._y,e=a._z;a=a.order;var f=Math.cos,g=Math.sin,h=f(c/2),l=f(d/2);f=f(e/2);c=g(c/2);d=g(d/\n",
       "2);e=g(e/2);&quot;XYZ&quot;===a?(this._x=c*l*f+h*d*e,this._y=h*d*f-c*l*e,this._z=h*l*e+c*d*f,this._w=h*l*f-c*d*e):&quot;YXZ&quot;===a?(this._x=c*l*f+h*d*e,this._y=h*d*f-c*l*e,this._z=h*l*e-c*d*f,this._w=h*l*f+c*d*e):&quot;ZXY&quot;===a?(this._x=c*l*f-h*d*e,this._y=h*d*f+c*l*e,this._z=h*l*e+c*d*f,this._w=h*l*f-c*d*e):&quot;ZYX&quot;===a?(this._x=c*l*f-h*d*e,this._y=h*d*f+c*l*e,this._z=h*l*e-c*d*f,this._w=h*l*f+c*d*e):&quot;YZX&quot;===a?(this._x=c*l*f+h*d*e,this._y=h*d*f+c*l*e,this._z=h*l*e-c*d*f,this._w=h*l*f-c*d*e):&quot;XZY&quot;===a&&(this._x=c*l*f-h*d*\n",
       "e,this._y=h*d*f-c*l*e,this._z=h*l*e+c*d*f,this._w=h*l*f+c*d*e);!1!==b&&this._onChangeCallback();return this},setFromAxisAngle:function(a,b){b/=2;var c=Math.sin(b);this._x=a.x*c;this._y=a.y*c;this._z=a.z*c;this._w=Math.cos(b);this._onChangeCallback();return this},setFromRotationMatrix:function(a){var b=a.elements,c=b[0];a=b[4];var d=b[8],e=b[1],f=b[5],g=b[9],h=b[2],l=b[6];b=b[10];var m=c+f+b;0<m?(c=.5/Math.sqrt(m+1),this._w=.25/c,this._x=(l-g)*c,this._y=(d-h)*c,this._z=(e-a)*c):c>f&&c>b?(c=2*Math.sqrt(1+\n",
       "c-f-b),this._w=(l-g)/c,this._x=.25*c,this._y=(a+e)/c,this._z=(d+h)/c):f>b?(c=2*Math.sqrt(1+f-c-b),this._w=(d-h)/c,this._x=(a+e)/c,this._y=.25*c,this._z=(g+l)/c):(c=2*Math.sqrt(1+b-c-f),this._w=(e-a)/c,this._x=(d+h)/c,this._y=(g+l)/c,this._z=.25*c);this._onChangeCallback();return this},setFromUnitVectors:function(a,b){var c=a.dot(b)+1;1E-6>c?(c=0,Math.abs(a.x)>Math.abs(a.z)?(this._x=-a.y,this._y=a.x,this._z=0):(this._x=0,this._y=-a.z,this._z=a.y)):(this._x=a.y*b.z-a.z*b.y,this._y=a.z*b.x-a.x*b.z,this._z=\n",
       "a.x*b.y-a.y*b.x);this._w=c;return this.normalize()},angleTo:function(a){return 2*Math.acos(Math.abs(L.clamp(this.dot(a),-1,1)))},rotateTowards:function(a,b){var c=this.angleTo(a);if(0===c)return this;this.slerp(a,Math.min(1,b/c));return this},inverse:function(){return this.conjugate()},conjugate:function(){this._x*=-1;this._y*=-1;this._z*=-1;this._onChangeCallback();return this},dot:function(a){return this._x*a._x+this._y*a._y+this._z*a._z+this._w*a._w},lengthSq:function(){return this._x*this._x+\n",
       "this._y*this._y+this._z*this._z+this._w*this._w},length:function(){return Math.sqrt(this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w)},normalize:function(){var a=this.length();0===a?(this._z=this._y=this._x=0,this._w=1):(a=1/a,this._x*=a,this._y*=a,this._z*=a,this._w*=a);this._onChangeCallback();return this},multiply:function(a,b){return void 0!==b?(console.warn(&quot;THREE.Quaternion: .multiply() now only accepts one argument. Use .multiplyQuaternions( a, b ) instead.&quot;),this.multiplyQuaternions(a,\n",
       "b)):this.multiplyQuaternions(this,a)},premultiply:function(a){return this.multiplyQuaternions(a,this)},multiplyQuaternions:function(a,b){var c=a._x,d=a._y,e=a._z;a=a._w;var f=b._x,g=b._y,h=b._z;b=b._w;this._x=c*b+a*f+d*h-e*g;this._y=d*b+a*g+e*f-c*h;this._z=e*b+a*h+c*g-d*f;this._w=a*b-c*f-d*g-e*h;this._onChangeCallback();return this},slerp:function(a,b){if(0===b)return this;if(1===b)return this.copy(a);var c=this._x,d=this._y,e=this._z,f=this._w,g=f*a._w+c*a._x+d*a._y+e*a._z;0>g?(this._w=-a._w,this._x=\n",
       "-a._x,this._y=-a._y,this._z=-a._z,g=-g):this.copy(a);if(1<=g)return this._w=f,this._x=c,this._y=d,this._z=e,this;a=1-g*g;if(a<=Number.EPSILON)return g=1-b,this._w=g*f+b*this._w,this._x=g*c+b*this._x,this._y=g*d+b*this._y,this._z=g*e+b*this._z,this.normalize(),this._onChangeCallback(),this;a=Math.sqrt(a);var h=Math.atan2(a,g);g=Math.sin((1-b)*h)/a;b=Math.sin(b*h)/a;this._w=f*g+this._w*b;this._x=c*g+this._x*b;this._y=d*g+this._y*b;this._z=e*g+this._z*b;this._onChangeCallback();return this},equals:function(a){return a._x===\n",
       "this._x&&a._y===this._y&&a._z===this._z&&a._w===this._w},fromArray:function(a,b){void 0===b&&(b=0);this._x=a[b];this._y=a[b+1];this._z=a[b+2];this._w=a[b+3];this._onChangeCallback();return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);a[b]=this._x;a[b+1]=this._y;a[b+2]=this._z;a[b+3]=this._w;return a},fromBufferAttribute:function(a,b){this._x=a.getX(b);this._y=a.getY(b);this._z=a.getZ(b);this._w=a.getW(b);return this},_onChange:function(a){this._onChangeCallback=a;return this},\n",
       "_onChangeCallback:function(){}});var ah=new n,Hi=new Aa;Object.assign(n.prototype,{isVector3:!0,set:function(a,b,c){this.x=a;this.y=b;this.z=c;return this},setScalar:function(a){this.z=this.y=this.x=a;return this},setX:function(a){this.x=a;return this},setY:function(a){this.y=a;return this},setZ:function(a){this.z=a;return this},setComponent:function(a,b){switch(a){case 0:this.x=b;break;case 1:this.y=b;break;case 2:this.z=b;break;default:throw Error(&quot;index is out of range: &quot;+a);}return this},getComponent:function(a){switch(a){case 0:return this.x;\n",
       "case 1:return this.y;case 2:return this.z;default:throw Error(&quot;index is out of range: &quot;+a);}},clone:function(){return new this.constructor(this.x,this.y,this.z)},copy:function(a){this.x=a.x;this.y=a.y;this.z=a.z;return this},add:function(a,b){if(void 0!==b)return console.warn(&quot;THREE.Vector3: .add() now only accepts one argument. Use .addVectors( a, b ) instead.&quot;),this.addVectors(a,b);this.x+=a.x;this.y+=a.y;this.z+=a.z;return this},addScalar:function(a){this.x+=a;this.y+=a;this.z+=a;return this},\n",
       "addVectors:function(a,b){this.x=a.x+b.x;this.y=a.y+b.y;this.z=a.z+b.z;return this},addScaledVector:function(a,b){this.x+=a.x*b;this.y+=a.y*b;this.z+=a.z*b;return this},sub:function(a,b){if(void 0!==b)return console.warn(&quot;THREE.Vector3: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.&quot;),this.subVectors(a,b);this.x-=a.x;this.y-=a.y;this.z-=a.z;return this},subScalar:function(a){this.x-=a;this.y-=a;this.z-=a;return this},subVectors:function(a,b){this.x=a.x-b.x;this.y=a.y-b.y;this.z=\n",
       "a.z-b.z;return this},multiply:function(a,b){if(void 0!==b)return console.warn(&quot;THREE.Vector3: .multiply() now only accepts one argument. Use .multiplyVectors( a, b ) instead.&quot;),this.multiplyVectors(a,b);this.x*=a.x;this.y*=a.y;this.z*=a.z;return this},multiplyScalar:function(a){this.x*=a;this.y*=a;this.z*=a;return this},multiplyVectors:function(a,b){this.x=a.x*b.x;this.y=a.y*b.y;this.z=a.z*b.z;return this},applyEuler:function(a){a&&a.isEuler||console.error(&quot;THREE.Vector3: .applyEuler() now expects an Euler rotation rather than a Vector3 and order.&quot;);\n",
       "return this.applyQuaternion(Hi.setFromEuler(a))},applyAxisAngle:function(a,b){return this.applyQuaternion(Hi.setFromAxisAngle(a,b))},applyMatrix3:function(a){var b=this.x,c=this.y,d=this.z;a=a.elements;this.x=a[0]*b+a[3]*c+a[6]*d;this.y=a[1]*b+a[4]*c+a[7]*d;this.z=a[2]*b+a[5]*c+a[8]*d;return this},applyNormalMatrix:function(a){return this.applyMatrix3(a).normalize()},applyMatrix4:function(a){var b=this.x,c=this.y,d=this.z;a=a.elements;var e=1/(a[3]*b+a[7]*c+a[11]*d+a[15]);this.x=(a[0]*b+a[4]*c+a[8]*\n",
       "d+a[12])*e;this.y=(a[1]*b+a[5]*c+a[9]*d+a[13])*e;this.z=(a[2]*b+a[6]*c+a[10]*d+a[14])*e;return this},applyQuaternion:function(a){var b=this.x,c=this.y,d=this.z,e=a.x,f=a.y,g=a.z;a=a.w;var h=a*b+f*d-g*c,l=a*c+g*b-e*d,m=a*d+e*c-f*b;b=-e*b-f*c-g*d;this.x=h*a+b*-e+l*-g-m*-f;this.y=l*a+b*-f+m*-e-h*-g;this.z=m*a+b*-g+h*-f-l*-e;return this},project:function(a){return this.applyMatrix4(a.matrixWorldInverse).applyMatrix4(a.projectionMatrix)},unproject:function(a){return this.applyMatrix4(a.projectionMatrixInverse).applyMatrix4(a.matrixWorld)},\n",
       "transformDirection:function(a){var b=this.x,c=this.y,d=this.z;a=a.elements;this.x=a[0]*b+a[4]*c+a[8]*d;this.y=a[1]*b+a[5]*c+a[9]*d;this.z=a[2]*b+a[6]*c+a[10]*d;return this.normalize()},divide:function(a){this.x/=a.x;this.y/=a.y;this.z/=a.z;return this},divideScalar:function(a){return this.multiplyScalar(1/a)},min:function(a){this.x=Math.min(this.x,a.x);this.y=Math.min(this.y,a.y);this.z=Math.min(this.z,a.z);return this},max:function(a){this.x=Math.max(this.x,a.x);this.y=Math.max(this.y,a.y);this.z=\n",
       "Math.max(this.z,a.z);return this},clamp:function(a,b){this.x=Math.max(a.x,Math.min(b.x,this.x));this.y=Math.max(a.y,Math.min(b.y,this.y));this.z=Math.max(a.z,Math.min(b.z,this.z));return this},clampScalar:function(a,b){this.x=Math.max(a,Math.min(b,this.x));this.y=Math.max(a,Math.min(b,this.y));this.z=Math.max(a,Math.min(b,this.z));return this},clampLength:function(a,b){var c=this.length();return this.divideScalar(c||1).multiplyScalar(Math.max(a,Math.min(b,c)))},floor:function(){this.x=Math.floor(this.x);\n",
       "this.y=Math.floor(this.y);this.z=Math.floor(this.z);return this},ceil:function(){this.x=Math.ceil(this.x);this.y=Math.ceil(this.y);this.z=Math.ceil(this.z);return this},round:function(){this.x=Math.round(this.x);this.y=Math.round(this.y);this.z=Math.round(this.z);return this},roundToZero:function(){this.x=0>this.x?Math.ceil(this.x):Math.floor(this.x);this.y=0>this.y?Math.ceil(this.y):Math.floor(this.y);this.z=0>this.z?Math.ceil(this.z):Math.floor(this.z);return this},negate:function(){this.x=-this.x;\n",
       "this.y=-this.y;this.z=-this.z;return this},dot:function(a){return this.x*a.x+this.y*a.y+this.z*a.z},lengthSq:function(){return this.x*this.x+this.y*this.y+this.z*this.z},length:function(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z)},manhattanLength:function(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)},normalize:function(){return this.divideScalar(this.length()||1)},setLength:function(a){return this.normalize().multiplyScalar(a)},lerp:function(a,b){this.x+=(a.x-this.x)*\n",
       "b;this.y+=(a.y-this.y)*b;this.z+=(a.z-this.z)*b;return this},lerpVectors:function(a,b,c){return this.subVectors(b,a).multiplyScalar(c).add(a)},cross:function(a,b){return void 0!==b?(console.warn(&quot;THREE.Vector3: .cross() now only accepts one argument. Use .crossVectors( a, b ) instead.&quot;),this.crossVectors(a,b)):this.crossVectors(this,a)},crossVectors:function(a,b){var c=a.x,d=a.y;a=a.z;var e=b.x,f=b.y;b=b.z;this.x=d*b-a*f;this.y=a*e-c*b;this.z=c*f-d*e;return this},projectOnVector:function(a){var b=\n",
       "a.lengthSq();if(0===b)return this.set(0,0,0);b=a.dot(this)/b;return this.copy(a).multiplyScalar(b)},projectOnPlane:function(a){ah.copy(this).projectOnVector(a);return this.sub(ah)},reflect:function(a){return this.sub(ah.copy(a).multiplyScalar(2*this.dot(a)))},angleTo:function(a){var b=Math.sqrt(this.lengthSq()*a.lengthSq());if(0===b)return Math.PI/2;a=this.dot(a)/b;return Math.acos(L.clamp(a,-1,1))},distanceTo:function(a){return Math.sqrt(this.distanceToSquared(a))},distanceToSquared:function(a){var b=\n",
       "this.x-a.x,c=this.y-a.y;a=this.z-a.z;return b*b+c*c+a*a},manhattanDistanceTo:function(a){return Math.abs(this.x-a.x)+Math.abs(this.y-a.y)+Math.abs(this.z-a.z)},setFromSpherical:function(a){return this.setFromSphericalCoords(a.radius,a.phi,a.theta)},setFromSphericalCoords:function(a,b,c){var d=Math.sin(b)*a;this.x=d*Math.sin(c);this.y=Math.cos(b)*a;this.z=d*Math.cos(c);return this},setFromCylindrical:function(a){return this.setFromCylindricalCoords(a.radius,a.theta,a.y)},setFromCylindricalCoords:function(a,\n",
       "b,c){this.x=a*Math.sin(b);this.y=c;this.z=a*Math.cos(b);return this},setFromMatrixPosition:function(a){a=a.elements;this.x=a[12];this.y=a[13];this.z=a[14];return this},setFromMatrixScale:function(a){var b=this.setFromMatrixColumn(a,0).length(),c=this.setFromMatrixColumn(a,1).length();a=this.setFromMatrixColumn(a,2).length();this.x=b;this.y=c;this.z=a;return this},setFromMatrixColumn:function(a,b){return this.fromArray(a.elements,4*b)},setFromMatrix3Column:function(a,b){return this.fromArray(a.elements,\n",
       "3*b)},equals:function(a){return a.x===this.x&&a.y===this.y&&a.z===this.z},fromArray:function(a,b){void 0===b&&(b=0);this.x=a[b];this.y=a[b+1];this.z=a[b+2];return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);a[b]=this.x;a[b+1]=this.y;a[b+2]=this.z;return a},fromBufferAttribute:function(a,b,c){void 0!==c&&console.warn(&quot;THREE.Vector3: offset has been removed from .fromBufferAttribute().&quot;);this.x=a.getX(b);this.y=a.getY(b);this.z=a.getZ(b);return this}});var od=new n,X=new P,Rk=new n(0,\n",
       "0,0),Sk=new n(1,1,1),Mb=new n,Df=new n,qa=new n;Object.assign(P.prototype,{isMatrix4:!0,set:function(a,b,c,d,e,f,g,h,l,m,k,p,n,r,q,v){var u=this.elements;u[0]=a;u[4]=b;u[8]=c;u[12]=d;u[1]=e;u[5]=f;u[9]=g;u[13]=h;u[2]=l;u[6]=m;u[10]=k;u[14]=p;u[3]=n;u[7]=r;u[11]=q;u[15]=v;return this},identity:function(){this.set(1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1);return this},clone:function(){return(new P).fromArray(this.elements)},copy:function(a){var b=this.elements;a=a.elements;b[0]=a[0];b[1]=a[1];b[2]=a[2];b[3]=\n",
       "a[3];b[4]=a[4];b[5]=a[5];b[6]=a[6];b[7]=a[7];b[8]=a[8];b[9]=a[9];b[10]=a[10];b[11]=a[11];b[12]=a[12];b[13]=a[13];b[14]=a[14];b[15]=a[15];return this},copyPosition:function(a){var b=this.elements;a=a.elements;b[12]=a[12];b[13]=a[13];b[14]=a[14];return this},extractBasis:function(a,b,c){a.setFromMatrixColumn(this,0);b.setFromMatrixColumn(this,1);c.setFromMatrixColumn(this,2);return this},makeBasis:function(a,b,c){this.set(a.x,b.x,c.x,0,a.y,b.y,c.y,0,a.z,b.z,c.z,0,0,0,0,1);return this},extractRotation:function(a){var b=\n",
       "this.elements,c=a.elements,d=1/od.setFromMatrixColumn(a,0).length(),e=1/od.setFromMatrixColumn(a,1).length();a=1/od.setFromMatrixColumn(a,2).length();b[0]=c[0]*d;b[1]=c[1]*d;b[2]=c[2]*d;b[3]=0;b[4]=c[4]*e;b[5]=c[5]*e;b[6]=c[6]*e;b[7]=0;b[8]=c[8]*a;b[9]=c[9]*a;b[10]=c[10]*a;b[11]=0;b[12]=0;b[13]=0;b[14]=0;b[15]=1;return this},makeRotationFromEuler:function(a){a&&a.isEuler||console.error(&quot;THREE.Matrix4: .makeRotationFromEuler() now expects a Euler rotation rather than a Vector3 and order.&quot;);var b=this.elements,\n",
       "c=a.x,d=a.y,e=a.z,f=Math.cos(c);c=Math.sin(c);var g=Math.cos(d);d=Math.sin(d);var h=Math.cos(e);e=Math.sin(e);if(&quot;XYZ&quot;===a.order){a=f*h;var l=f*e,m=c*h,k=c*e;b[0]=g*h;b[4]=-g*e;b[8]=d;b[1]=l+m*d;b[5]=a-k*d;b[9]=-c*g;b[2]=k-a*d;b[6]=m+l*d;b[10]=f*g}else&quot;YXZ&quot;===a.order?(a=g*h,l=g*e,m=d*h,k=d*e,b[0]=a+k*c,b[4]=m*c-l,b[8]=f*d,b[1]=f*e,b[5]=f*h,b[9]=-c,b[2]=l*c-m,b[6]=k+a*c,b[10]=f*g):&quot;ZXY&quot;===a.order?(a=g*h,l=g*e,m=d*h,k=d*e,b[0]=a-k*c,b[4]=-f*e,b[8]=m+l*c,b[1]=l+m*c,b[5]=f*h,b[9]=k-a*c,b[2]=-f*d,b[6]=\n",
       "c,b[10]=f*g):&quot;ZYX&quot;===a.order?(a=f*h,l=f*e,m=c*h,k=c*e,b[0]=g*h,b[4]=m*d-l,b[8]=a*d+k,b[1]=g*e,b[5]=k*d+a,b[9]=l*d-m,b[2]=-d,b[6]=c*g,b[10]=f*g):&quot;YZX&quot;===a.order?(a=f*g,l=f*d,m=c*g,k=c*d,b[0]=g*h,b[4]=k-a*e,b[8]=m*e+l,b[1]=e,b[5]=f*h,b[9]=-c*h,b[2]=-d*h,b[6]=l*e+m,b[10]=a-k*e):&quot;XZY&quot;===a.order&&(a=f*g,l=f*d,m=c*g,k=c*d,b[0]=g*h,b[4]=-e,b[8]=d*h,b[1]=a*e+k,b[5]=f*h,b[9]=l*e-m,b[2]=m*e-l,b[6]=c*h,b[10]=k*e+a);b[3]=0;b[7]=0;b[11]=0;b[12]=0;b[13]=0;b[14]=0;b[15]=1;return this},makeRotationFromQuaternion:function(a){return this.compose(Rk,\n",
       "a,Sk)},lookAt:function(a,b,c){var d=this.elements;qa.subVectors(a,b);0===qa.lengthSq()&&(qa.z=1);qa.normalize();Mb.crossVectors(c,qa);0===Mb.lengthSq()&&(1===Math.abs(c.z)?qa.x+=1E-4:qa.z+=1E-4,qa.normalize(),Mb.crossVectors(c,qa));Mb.normalize();Df.crossVectors(qa,Mb);d[0]=Mb.x;d[4]=Df.x;d[8]=qa.x;d[1]=Mb.y;d[5]=Df.y;d[9]=qa.y;d[2]=Mb.z;d[6]=Df.z;d[10]=qa.z;return this},multiply:function(a,b){return void 0!==b?(console.warn(&quot;THREE.Matrix4: .multiply() now only accepts one argument. Use .multiplyMatrices( a, b ) instead.&quot;),\n",
       "this.multiplyMatrices(a,b)):this.multiplyMatrices(this,a)},premultiply:function(a){return this.multiplyMatrices(a,this)},multiplyMatrices:function(a,b){var c=a.elements,d=b.elements;b=this.elements;a=c[0];var e=c[4],f=c[8],g=c[12],h=c[1],l=c[5],m=c[9],k=c[13],p=c[2],n=c[6],r=c[10],q=c[14],v=c[3],t=c[7],w=c[11];c=c[15];var z=d[0],A=d[4],C=d[8],y=d[12],B=d[1],D=d[5],F=d[9],G=d[13],K=d[2],H=d[6],L=d[10],M=d[14],N=d[3],O=d[7],P=d[11];d=d[15];b[0]=a*z+e*B+f*K+g*N;b[4]=a*A+e*D+f*H+g*O;b[8]=a*C+e*F+f*L+\n",
       "g*P;b[12]=a*y+e*G+f*M+g*d;b[1]=h*z+l*B+m*K+k*N;b[5]=h*A+l*D+m*H+k*O;b[9]=h*C+l*F+m*L+k*P;b[13]=h*y+l*G+m*M+k*d;b[2]=p*z+n*B+r*K+q*N;b[6]=p*A+n*D+r*H+q*O;b[10]=p*C+n*F+r*L+q*P;b[14]=p*y+n*G+r*M+q*d;b[3]=v*z+t*B+w*K+c*N;b[7]=v*A+t*D+w*H+c*O;b[11]=v*C+t*F+w*L+c*P;b[15]=v*y+t*G+w*M+c*d;return this},multiplyScalar:function(a){var b=this.elements;b[0]*=a;b[4]*=a;b[8]*=a;b[12]*=a;b[1]*=a;b[5]*=a;b[9]*=a;b[13]*=a;b[2]*=a;b[6]*=a;b[10]*=a;b[14]*=a;b[3]*=a;b[7]*=a;b[11]*=a;b[15]*=a;return this},determinant:function(){var a=\n",
       "this.elements,b=a[0],c=a[4],d=a[8],e=a[12],f=a[1],g=a[5],h=a[9],l=a[13],m=a[2],k=a[6],p=a[10],n=a[14];return a[3]*(+e*h*k-d*l*k-e*g*p+c*l*p+d*g*n-c*h*n)+a[7]*(+b*h*n-b*l*p+e*f*p-d*f*n+d*l*m-e*h*m)+a[11]*(+b*l*k-b*g*n-e*f*k+c*f*n+e*g*m-c*l*m)+a[15]*(-d*g*m-b*h*k+b*g*p+d*f*k-c*f*p+c*h*m)},transpose:function(){var a=this.elements;var b=a[1];a[1]=a[4];a[4]=b;b=a[2];a[2]=a[8];a[8]=b;b=a[6];a[6]=a[9];a[9]=b;b=a[3];a[3]=a[12];a[12]=b;b=a[7];a[7]=a[13];a[13]=b;b=a[11];a[11]=a[14];a[14]=b;return this},setPosition:function(a,\n",
       "b,c){var d=this.elements;a.isVector3?(d[12]=a.x,d[13]=a.y,d[14]=a.z):(d[12]=a,d[13]=b,d[14]=c);return this},getInverse:function(a,b){void 0!==b&&console.warn(&quot;THREE.Matrix4: .getInverse() can no longer be configured to throw on degenerate.&quot;);b=this.elements;var c=a.elements;a=c[0];var d=c[1],e=c[2],f=c[3],g=c[4],h=c[5],l=c[6],m=c[7],k=c[8],p=c[9],n=c[10],r=c[11],q=c[12],v=c[13],t=c[14];c=c[15];var w=p*t*m-v*n*m+v*l*r-h*t*r-p*l*c+h*n*c,z=q*n*m-k*t*m-q*l*r+g*t*r+k*l*c-g*n*c,A=k*v*m-q*p*m+q*h*r-g*v*\n",
       "r-k*h*c+g*p*c,C=q*p*l-k*v*l-q*h*n+g*v*n+k*h*t-g*p*t,y=a*w+d*z+e*A+f*C;if(0===y)return this.set(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0);y=1/y;b[0]=w*y;b[1]=(v*n*f-p*t*f-v*e*r+d*t*r+p*e*c-d*n*c)*y;b[2]=(h*t*f-v*l*f+v*e*m-d*t*m-h*e*c+d*l*c)*y;b[3]=(p*l*f-h*n*f-p*e*m+d*n*m+h*e*r-d*l*r)*y;b[4]=z*y;b[5]=(k*t*f-q*n*f+q*e*r-a*t*r-k*e*c+a*n*c)*y;b[6]=(q*l*f-g*t*f-q*e*m+a*t*m+g*e*c-a*l*c)*y;b[7]=(g*n*f-k*l*f+k*e*m-a*n*m-g*e*r+a*l*r)*y;b[8]=A*y;b[9]=(q*p*f-k*v*f-q*d*r+a*v*r+k*d*c-a*p*c)*y;b[10]=(g*v*f-q*h*f+q*d*m-\n",
       "a*v*m-g*d*c+a*h*c)*y;b[11]=(k*h*f-g*p*f-k*d*m+a*p*m+g*d*r-a*h*r)*y;b[12]=C*y;b[13]=(k*v*e-q*p*e+q*d*n-a*v*n-k*d*t+a*p*t)*y;b[14]=(q*h*e-g*v*e-q*d*l+a*v*l+g*d*t-a*h*t)*y;b[15]=(g*p*e-k*h*e+k*d*l-a*p*l-g*d*n+a*h*n)*y;return this},scale:function(a){var b=this.elements,c=a.x,d=a.y;a=a.z;b[0]*=c;b[4]*=d;b[8]*=a;b[1]*=c;b[5]*=d;b[9]*=a;b[2]*=c;b[6]*=d;b[10]*=a;b[3]*=c;b[7]*=d;b[11]*=a;return this},getMaxScaleOnAxis:function(){var a=this.elements;return Math.sqrt(Math.max(a[0]*a[0]+a[1]*a[1]+a[2]*a[2],a[4]*\n",
       "a[4]+a[5]*a[5]+a[6]*a[6],a[8]*a[8]+a[9]*a[9]+a[10]*a[10]))},makeTranslation:function(a,b,c){this.set(1,0,0,a,0,1,0,b,0,0,1,c,0,0,0,1);return this},makeRotationX:function(a){var b=Math.cos(a);a=Math.sin(a);this.set(1,0,0,0,0,b,-a,0,0,a,b,0,0,0,0,1);return this},makeRotationY:function(a){var b=Math.cos(a);a=Math.sin(a);this.set(b,0,a,0,0,1,0,0,-a,0,b,0,0,0,0,1);return this},makeRotationZ:function(a){var b=Math.cos(a);a=Math.sin(a);this.set(b,-a,0,0,a,b,0,0,0,0,1,0,0,0,0,1);return this},makeRotationAxis:function(a,\n",
       "b){var c=Math.cos(b);b=Math.sin(b);var d=1-c,e=a.x,f=a.y;a=a.z;var g=d*e,h=d*f;this.set(g*e+c,g*f-b*a,g*a+b*f,0,g*f+b*a,h*f+c,h*a-b*e,0,g*a-b*f,h*a+b*e,d*a*a+c,0,0,0,0,1);return this},makeScale:function(a,b,c){this.set(a,0,0,0,0,b,0,0,0,0,c,0,0,0,0,1);return this},makeShear:function(a,b,c){this.set(1,b,c,0,a,1,c,0,a,b,1,0,0,0,0,1);return this},compose:function(a,b,c){var d=this.elements,e=b._x,f=b._y,g=b._z,h=b._w,l=e+e,m=f+f,k=g+g;b=e*l;var p=e*m;e*=k;var n=f*m;f*=k;g*=k;l*=h;m*=h;h*=k;k=c.x;var r=\n",
       "c.y;c=c.z;d[0]=(1-(n+g))*k;d[1]=(p+h)*k;d[2]=(e-m)*k;d[3]=0;d[4]=(p-h)*r;d[5]=(1-(b+g))*r;d[6]=(f+l)*r;d[7]=0;d[8]=(e+m)*c;d[9]=(f-l)*c;d[10]=(1-(b+n))*c;d[11]=0;d[12]=a.x;d[13]=a.y;d[14]=a.z;d[15]=1;return this},decompose:function(a,b,c){var d=this.elements,e=od.set(d[0],d[1],d[2]).length(),f=od.set(d[4],d[5],d[6]).length(),g=od.set(d[8],d[9],d[10]).length();0>this.determinant()&&(e=-e);a.x=d[12];a.y=d[13];a.z=d[14];X.copy(this);a=1/e;d=1/f;var h=1/g;X.elements[0]*=a;X.elements[1]*=a;X.elements[2]*=\n",
       "a;X.elements[4]*=d;X.elements[5]*=d;X.elements[6]*=d;X.elements[8]*=h;X.elements[9]*=h;X.elements[10]*=h;b.setFromRotationMatrix(X);c.x=e;c.y=f;c.z=g;return this},makePerspective:function(a,b,c,d,e,f){void 0===f&&console.warn(&quot;THREE.Matrix4: .makePerspective() has been redefined and has a new signature. Please check the docs.&quot;);var g=this.elements;g[0]=2*e/(b-a);g[4]=0;g[8]=(b+a)/(b-a);g[12]=0;g[1]=0;g[5]=2*e/(c-d);g[9]=(c+d)/(c-d);g[13]=0;g[2]=0;g[6]=0;g[10]=-(f+e)/(f-e);g[14]=-2*f*e/(f-e);g[3]=\n",
       "0;g[7]=0;g[11]=-1;g[15]=0;return this},makeOrthographic:function(a,b,c,d,e,f){var g=this.elements,h=1/(b-a),l=1/(c-d),m=1/(f-e);g[0]=2*h;g[4]=0;g[8]=0;g[12]=-((b+a)*h);g[1]=0;g[5]=2*l;g[9]=0;g[13]=-((c+d)*l);g[2]=0;g[6]=0;g[10]=-2*m;g[14]=-((f+e)*m);g[3]=0;g[7]=0;g[11]=0;g[15]=1;return this},equals:function(a){var b=this.elements;a=a.elements;for(var c=0;16>c;c++)if(b[c]!==a[c])return!1;return!0},fromArray:function(a,b){void 0===b&&(b=0);for(var c=0;16>c;c++)this.elements[c]=a[c+b];return this},toArray:function(a,\n",
       "b){void 0===a&&(a=[]);void 0===b&&(b=0);var c=this.elements;a[b]=c[0];a[b+1]=c[1];a[b+2]=c[2];a[b+3]=c[3];a[b+4]=c[4];a[b+5]=c[5];a[b+6]=c[6];a[b+7]=c[7];a[b+8]=c[8];a[b+9]=c[9];a[b+10]=c[10];a[b+11]=c[11];a[b+12]=c[12];a[b+13]=c[13];a[b+14]=c[14];a[b+15]=c[15];return a}});var Ii=new P,Ji=new Aa;Tb.RotationOrders=&quot;XYZ YZX ZXY XZY YXZ ZYX&quot;.split(&quot; &quot;);Tb.DefaultOrder=&quot;XYZ&quot;;Object.defineProperties(Tb.prototype,{x:{get:function(){return this._x},set:function(a){this._x=a;this._onChangeCallback()}},y:{get:function(){return this._y},\n",
       "set:function(a){this._y=a;this._onChangeCallback()}},z:{get:function(){return this._z},set:function(a){this._z=a;this._onChangeCallback()}},order:{get:function(){return this._order},set:function(a){this._order=a;this._onChangeCallback()}}});Object.assign(Tb.prototype,{isEuler:!0,set:function(a,b,c,d){this._x=a;this._y=b;this._z=c;this._order=d||this._order;this._onChangeCallback();return this},clone:function(){return new this.constructor(this._x,this._y,this._z,this._order)},copy:function(a){this._x=\n",
       "a._x;this._y=a._y;this._z=a._z;this._order=a._order;this._onChangeCallback();return this},setFromRotationMatrix:function(a,b,c){var d=L.clamp,e=a.elements;a=e[0];var f=e[4],g=e[8],h=e[1],l=e[5],m=e[9],k=e[2],p=e[6];e=e[10];b=b||this._order;&quot;XYZ&quot;===b?(this._y=Math.asin(d(g,-1,1)),.9999999>Math.abs(g)?(this._x=Math.atan2(-m,e),this._z=Math.atan2(-f,a)):(this._x=Math.atan2(p,l),this._z=0)):&quot;YXZ&quot;===b?(this._x=Math.asin(-d(m,-1,1)),.9999999>Math.abs(m)?(this._y=Math.atan2(g,e),this._z=Math.atan2(h,l)):\n",
       "(this._y=Math.atan2(-k,a),this._z=0)):&quot;ZXY&quot;===b?(this._x=Math.asin(d(p,-1,1)),.9999999>Math.abs(p)?(this._y=Math.atan2(-k,e),this._z=Math.atan2(-f,l)):(this._y=0,this._z=Math.atan2(h,a))):&quot;ZYX&quot;===b?(this._y=Math.asin(-d(k,-1,1)),.9999999>Math.abs(k)?(this._x=Math.atan2(p,e),this._z=Math.atan2(h,a)):(this._x=0,this._z=Math.atan2(-f,l))):&quot;YZX&quot;===b?(this._z=Math.asin(d(h,-1,1)),.9999999>Math.abs(h)?(this._x=Math.atan2(-m,l),this._y=Math.atan2(-k,a)):(this._x=0,this._y=Math.atan2(g,e))):&quot;XZY&quot;===b?(this._z=\n",
       "Math.asin(-d(f,-1,1)),.9999999>Math.abs(f)?(this._x=Math.atan2(p,l),this._y=Math.atan2(g,a)):(this._x=Math.atan2(-m,e),this._y=0)):console.warn(&quot;THREE.Euler: .setFromRotationMatrix() given unsupported order: &quot;+b);this._order=b;!1!==c&&this._onChangeCallback();return this},setFromQuaternion:function(a,b,c){Ii.makeRotationFromQuaternion(a);return this.setFromRotationMatrix(Ii,b,c)},setFromVector3:function(a,b){return this.set(a.x,a.y,a.z,b||this._order)},reorder:function(a){Ji.setFromEuler(this);return this.setFromQuaternion(Ji,\n",
       "a)},equals:function(a){return a._x===this._x&&a._y===this._y&&a._z===this._z&&a._order===this._order},fromArray:function(a){this._x=a[0];this._y=a[1];this._z=a[2];void 0!==a[3]&&(this._order=a[3]);this._onChangeCallback();return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);a[b]=this._x;a[b+1]=this._y;a[b+2]=this._z;a[b+3]=this._order;return a},toVector3:function(a){return a?a.set(this._x,this._y,this._z):new n(this._x,this._y,this._z)},_onChange:function(a){this._onChangeCallback=\n",
       "a;return this},_onChangeCallback:function(){}});Object.assign(He.prototype,{set:function(a){this.mask=1<<a|0},enable:function(a){this.mask=this.mask|1<<a|0},enableAll:function(){this.mask=-1},toggle:function(a){this.mask^=1<<a|0},disable:function(a){this.mask&=~(1<<a|0)},disableAll:function(){this.mask=0},test:function(a){return 0!==(this.mask&a.mask)}});var qj=0,Ki=new n,pd=new Aa,yb=new P,Ef=new n,ye=new n,Tk=new n,Uk=new Aa,Li=new n(1,0,0),Mi=new n(0,1,0),Ni=new n(0,0,1),Vk={type:&quot;added&quot;},Wk={type:&quot;removed&quot;};\n",
       "F.DefaultUp=new n(0,1,0);F.DefaultMatrixAutoUpdate=!0;F.prototype=Object.assign(Object.create(Ea.prototype),{constructor:F,isObject3D:!0,onBeforeRender:function(){},onAfterRender:function(){},applyMatrix4:function(a){this.matrixAutoUpdate&&this.updateMatrix();this.matrix.premultiply(a);this.matrix.decompose(this.position,this.quaternion,this.scale)},applyQuaternion:function(a){this.quaternion.premultiply(a);return this},setRotationFromAxisAngle:function(a,b){this.quaternion.setFromAxisAngle(a,b)},\n",
       "setRotationFromEuler:function(a){this.quaternion.setFromEuler(a,!0)},setRotationFromMatrix:function(a){this.quaternion.setFromRotationMatrix(a)},setRotationFromQuaternion:function(a){this.quaternion.copy(a)},rotateOnAxis:function(a,b){pd.setFromAxisAngle(a,b);this.quaternion.multiply(pd);return this},rotateOnWorldAxis:function(a,b){pd.setFromAxisAngle(a,b);this.quaternion.premultiply(pd);return this},rotateX:function(a){return this.rotateOnAxis(Li,a)},rotateY:function(a){return this.rotateOnAxis(Mi,\n",
       "a)},rotateZ:function(a){return this.rotateOnAxis(Ni,a)},translateOnAxis:function(a,b){Ki.copy(a).applyQuaternion(this.quaternion);this.position.add(Ki.multiplyScalar(b));return this},translateX:function(a){return this.translateOnAxis(Li,a)},translateY:function(a){return this.translateOnAxis(Mi,a)},translateZ:function(a){return this.translateOnAxis(Ni,a)},localToWorld:function(a){return a.applyMatrix4(this.matrixWorld)},worldToLocal:function(a){return a.applyMatrix4(yb.getInverse(this.matrixWorld))},\n",
       "lookAt:function(a,b,c){a.isVector3?Ef.copy(a):Ef.set(a,b,c);a=this.parent;this.updateWorldMatrix(!0,!1);ye.setFromMatrixPosition(this.matrixWorld);this.isCamera||this.isLight?yb.lookAt(ye,Ef,this.up):yb.lookAt(Ef,ye,this.up);this.quaternion.setFromRotationMatrix(yb);a&&(yb.extractRotation(a.matrixWorld),pd.setFromRotationMatrix(yb),this.quaternion.premultiply(pd.inverse()))},add:function(a){if(1<arguments.length){for(var b=0;b<arguments.length;b++)this.add(arguments[b]);return this}if(a===this)return console.error(&quot;THREE.Object3D.add: object can't be added as a child of itself.&quot;,\n",
       "a),this;a&&a.isObject3D?(null!==a.parent&&a.parent.remove(a),a.parent=this,this.children.push(a),a.dispatchEvent(Vk)):console.error(&quot;THREE.Object3D.add: object not an instance of THREE.Object3D.&quot;,a);return this},remove:function(a){if(1<arguments.length){for(var b=0;b<arguments.length;b++)this.remove(arguments[b]);return this}b=this.children.indexOf(a);-1!==b&&(a.parent=null,this.children.splice(b,1),a.dispatchEvent(Wk));return this},attach:function(a){this.updateWorldMatrix(!0,!1);yb.getInverse(this.matrixWorld);\n",
       "null!==a.parent&&(a.parent.updateWorldMatrix(!0,!1),yb.multiply(a.parent.matrixWorld));a.applyMatrix4(yb);a.updateWorldMatrix(!1,!1);this.add(a);return this},getObjectById:function(a){return this.getObjectByProperty(&quot;id&quot;,a)},getObjectByName:function(a){return this.getObjectByProperty(&quot;name&quot;,a)},getObjectByProperty:function(a,b){if(this[a]===b)return this;for(var c=0,d=this.children.length;c<d;c++){var e=this.children[c].getObjectByProperty(a,b);if(void 0!==e)return e}},getWorldPosition:function(a){void 0===\n",
       "a&&(console.warn(&quot;THREE.Object3D: .getWorldPosition() target is now required&quot;),a=new n);this.updateMatrixWorld(!0);return a.setFromMatrixPosition(this.matrixWorld)},getWorldQuaternion:function(a){void 0===a&&(console.warn(&quot;THREE.Object3D: .getWorldQuaternion() target is now required&quot;),a=new Aa);this.updateMatrixWorld(!0);this.matrixWorld.decompose(ye,a,Tk);return a},getWorldScale:function(a){void 0===a&&(console.warn(&quot;THREE.Object3D: .getWorldScale() target is now required&quot;),a=new n);this.updateMatrixWorld(!0);\n",
       "this.matrixWorld.decompose(ye,Uk,a);return a},getWorldDirection:function(a){void 0===a&&(console.warn(&quot;THREE.Object3D: .getWorldDirection() target is now required&quot;),a=new n);this.updateMatrixWorld(!0);var b=this.matrixWorld.elements;return a.set(b[8],b[9],b[10]).normalize()},raycast:function(){},traverse:function(a){a(this);for(var b=this.children,c=0,d=b.length;c<d;c++)b[c].traverse(a)},traverseVisible:function(a){if(!1!==this.visible){a(this);for(var b=this.children,c=0,d=b.length;c<d;c++)b[c].traverseVisible(a)}},\n",
       "traverseAncestors:function(a){var b=this.parent;null!==b&&(a(b),b.traverseAncestors(a))},updateMatrix:function(){this.matrix.compose(this.position,this.quaternion,this.scale);this.matrixWorldNeedsUpdate=!0},updateMatrixWorld:function(a){this.matrixAutoUpdate&&this.updateMatrix();if(this.matrixWorldNeedsUpdate||a)null===this.parent?this.matrixWorld.copy(this.matrix):this.matrixWorld.multiplyMatrices(this.parent.matrixWorld,this.matrix),this.matrixWorldNeedsUpdate=!1,a=!0;for(var b=this.children,c=\n",
       "0,d=b.length;c<d;c++)b[c].updateMatrixWorld(a)},updateWorldMatrix:function(a,b){var c=this.parent;!0===a&&null!==c&&c.updateWorldMatrix(!0,!1);this.matrixAutoUpdate&&this.updateMatrix();null===this.parent?this.matrixWorld.copy(this.matrix):this.matrixWorld.multiplyMatrices(this.parent.matrixWorld,this.matrix);if(!0===b)for(a=this.children,b=0,c=a.length;b<c;b++)a[b].updateWorldMatrix(!1,!0)},toJSON:function(a){function b(b,c){void 0===b[c.uuid]&&(b[c.uuid]=c.toJSON(a));return c.uuid}function c(a){var b=\n",
       "[],c;for(c in a){var d=a[c];delete d.metadata;b.push(d)}return b}var d=void 0===a||&quot;string&quot;===typeof a,e={};d&&(a={geometries:{},materials:{},textures:{},images:{},shapes:{}},e.metadata={version:4.5,type:&quot;Object&quot;,generator:&quot;Object3D.toJSON&quot;});var f={};f.uuid=this.uuid;f.type=this.type;&quot;&quot;!==this.name&&(f.name=this.name);!0===this.castShadow&&(f.castShadow=!0);!0===this.receiveShadow&&(f.receiveShadow=!0);!1===this.visible&&(f.visible=!1);!1===this.frustumCulled&&(f.frustumCulled=!1);0!==this.renderOrder&&\n",
       "(f.renderOrder=this.renderOrder);&quot;{}&quot;!==JSON.stringify(this.userData)&&(f.userData=this.userData);f.layers=this.layers.mask;f.matrix=this.matrix.toArray();!1===this.matrixAutoUpdate&&(f.matrixAutoUpdate=!1);this.isInstancedMesh&&(f.type=&quot;InstancedMesh&quot;,f.count=this.count,f.instanceMatrix=this.instanceMatrix.toJSON());if(this.isMesh||this.isLine||this.isPoints){f.geometry=b(a.geometries,this.geometry);var g=this.geometry.parameters;if(void 0!==g&&void 0!==g.shapes)if(g=g.shapes,Array.isArray(g))for(var h=\n",
       "0,l=g.length;h<l;h++)b(a.shapes,g[h]);else b(a.shapes,g)}if(void 0!==this.material)if(Array.isArray(this.material)){g=[];h=0;for(l=this.material.length;h<l;h++)g.push(b(a.materials,this.material[h]));f.material=g}else f.material=b(a.materials,this.material);if(0<this.children.length)for(f.children=[],h=0;h<this.children.length;h++)f.children.push(this.children[h].toJSON(a).object);if(d){d=c(a.geometries);h=c(a.materials);l=c(a.textures);var m=c(a.images);g=c(a.shapes);0<d.length&&(e.geometries=d);\n",
       "0<h.length&&(e.materials=h);0<l.length&&(e.textures=l);0<m.length&&(e.images=m);0<g.length&&(e.shapes=g)}e.object=f;return e},clone:function(a){return(new this.constructor).copy(this,a)},copy:function(a,b){void 0===b&&(b=!0);this.name=a.name;this.up.copy(a.up);this.position.copy(a.position);this.quaternion.copy(a.quaternion);this.scale.copy(a.scale);this.matrix.copy(a.matrix);this.matrixWorld.copy(a.matrixWorld);this.matrixAutoUpdate=a.matrixAutoUpdate;this.matrixWorldNeedsUpdate=a.matrixWorldNeedsUpdate;\n",
       "this.layers.mask=a.layers.mask;this.visible=a.visible;this.castShadow=a.castShadow;this.receiveShadow=a.receiveShadow;this.frustumCulled=a.frustumCulled;this.renderOrder=a.renderOrder;this.userData=JSON.parse(JSON.stringify(a.userData));if(!0===b)for(b=0;b<a.children.length;b++)this.add(a.children[b].clone());return this}});ob.prototype=Object.assign(Object.create(F.prototype),{constructor:ob,isScene:!0,copy:function(a,b){F.prototype.copy.call(this,a,b);null!==a.background&&(this.background=a.background.clone());\n",
       "null!==a.environment&&(this.environment=a.environment.clone());null!==a.fog&&(this.fog=a.fog.clone());null!==a.overrideMaterial&&(this.overrideMaterial=a.overrideMaterial.clone());this.autoUpdate=a.autoUpdate;this.matrixAutoUpdate=a.matrixAutoUpdate;return this},toJSON:function(a){var b=F.prototype.toJSON.call(this,a);null!==this.background&&(b.object.background=this.background.toJSON(a));null!==this.environment&&(b.object.environment=this.environment.toJSON(a));null!==this.fog&&(b.object.fog=this.fog.toJSON());\n",
       "return b},dispose:function(){this.dispatchEvent({type:&quot;dispose&quot;})}});var zb=[new n,new n,new n,new n,new n,new n,new n,new n],ze=new n,bh=new Sa,qd=new n,rd=new n,sd=new n,Nb=new n,Ob=new n,sc=new n,Ae=new n,Ff=new n,Gf=new n,Ub=new n;Object.assign(Sa.prototype,{isBox3:!0,set:function(a,b){this.min.copy(a);this.max.copy(b);return this},setFromArray:function(a){for(var b=Infinity,c=Infinity,d=Infinity,e=-Infinity,f=-Infinity,g=-Infinity,h=0,l=a.length;h<l;h+=3){var m=a[h],k=a[h+1],p=a[h+2];m<b&&(b=\n",
       "m);k<c&&(c=k);p<d&&(d=p);m>e&&(e=m);k>f&&(f=k);p>g&&(g=p)}this.min.set(b,c,d);this.max.set(e,f,g);return this},setFromBufferAttribute:function(a){for(var b=Infinity,c=Infinity,d=Infinity,e=-Infinity,f=-Infinity,g=-Infinity,h=0,l=a.count;h<l;h++){var m=a.getX(h),k=a.getY(h),p=a.getZ(h);m<b&&(b=m);k<c&&(c=k);p<d&&(d=p);m>e&&(e=m);k>f&&(f=k);p>g&&(g=p)}this.min.set(b,c,d);this.max.set(e,f,g);return this},setFromPoints:function(a){this.makeEmpty();for(var b=0,c=a.length;b<c;b++)this.expandByPoint(a[b]);\n",
       "return this},setFromCenterAndSize:function(a,b){b=ze.copy(b).multiplyScalar(.5);this.min.copy(a).sub(b);this.max.copy(a).add(b);return this},setFromObject:function(a){this.makeEmpty();return this.expandByObject(a)},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.min.copy(a.min);this.max.copy(a.max);return this},makeEmpty:function(){this.min.x=this.min.y=this.min.z=Infinity;this.max.x=this.max.y=this.max.z=-Infinity;return this},isEmpty:function(){return this.max.x<\n",
       "this.min.x||this.max.y<this.min.y||this.max.z<this.min.z},getCenter:function(a){void 0===a&&(console.warn(&quot;THREE.Box3: .getCenter() target is now required&quot;),a=new n);return this.isEmpty()?a.set(0,0,0):a.addVectors(this.min,this.max).multiplyScalar(.5)},getSize:function(a){void 0===a&&(console.warn(&quot;THREE.Box3: .getSize() target is now required&quot;),a=new n);return this.isEmpty()?a.set(0,0,0):a.subVectors(this.max,this.min)},expandByPoint:function(a){this.min.min(a);this.max.max(a);return this},expandByVector:function(a){this.min.sub(a);\n",
       "this.max.add(a);return this},expandByScalar:function(a){this.min.addScalar(-a);this.max.addScalar(a);return this},expandByObject:function(a){a.updateWorldMatrix(!1,!1);var b=a.geometry;void 0!==b&&(null===b.boundingBox&&b.computeBoundingBox(),bh.copy(b.boundingBox),bh.applyMatrix4(a.matrixWorld),this.union(bh));a=a.children;b=0;for(var c=a.length;b<c;b++)this.expandByObject(a[b]);return this},containsPoint:function(a){return a.x<this.min.x||a.x>this.max.x||a.y<this.min.y||a.y>this.max.y||a.z<this.min.z||\n",
       "a.z>this.max.z?!1:!0},containsBox:function(a){return this.min.x<=a.min.x&&a.max.x<=this.max.x&&this.min.y<=a.min.y&&a.max.y<=this.max.y&&this.min.z<=a.min.z&&a.max.z<=this.max.z},getParameter:function(a,b){void 0===b&&(console.warn(&quot;THREE.Box3: .getParameter() target is now required&quot;),b=new n);return b.set((a.x-this.min.x)/(this.max.x-this.min.x),(a.y-this.min.y)/(this.max.y-this.min.y),(a.z-this.min.z)/(this.max.z-this.min.z))},intersectsBox:function(a){return a.max.x<this.min.x||a.min.x>this.max.x||\n",
       "a.max.y<this.min.y||a.min.y>this.max.y||a.max.z<this.min.z||a.min.z>this.max.z?!1:!0},intersectsSphere:function(a){this.clampPoint(a.center,ze);return ze.distanceToSquared(a.center)<=a.radius*a.radius},intersectsPlane:function(a){if(0<a.normal.x){var b=a.normal.x*this.min.x;var c=a.normal.x*this.max.x}else b=a.normal.x*this.max.x,c=a.normal.x*this.min.x;0<a.normal.y?(b+=a.normal.y*this.min.y,c+=a.normal.y*this.max.y):(b+=a.normal.y*this.max.y,c+=a.normal.y*this.min.y);0<a.normal.z?(b+=a.normal.z*\n",
       "this.min.z,c+=a.normal.z*this.max.z):(b+=a.normal.z*this.max.z,c+=a.normal.z*this.min.z);return b<=-a.constant&&c>=-a.constant},intersectsTriangle:function(a){if(this.isEmpty())return!1;this.getCenter(Ae);Ff.subVectors(this.max,Ae);qd.subVectors(a.a,Ae);rd.subVectors(a.b,Ae);sd.subVectors(a.c,Ae);Nb.subVectors(rd,qd);Ob.subVectors(sd,rd);sc.subVectors(qd,sd);a=[0,-Nb.z,Nb.y,0,-Ob.z,Ob.y,0,-sc.z,sc.y,Nb.z,0,-Nb.x,Ob.z,0,-Ob.x,sc.z,0,-sc.x,-Nb.y,Nb.x,0,-Ob.y,Ob.x,0,-sc.y,sc.x,0];if(!$f(a,qd,rd,sd,Ff))return!1;\n",
       "a=[1,0,0,0,1,0,0,0,1];if(!$f(a,qd,rd,sd,Ff))return!1;Gf.crossVectors(Nb,Ob);a=[Gf.x,Gf.y,Gf.z];return $f(a,qd,rd,sd,Ff)},clampPoint:function(a,b){void 0===b&&(console.warn(&quot;THREE.Box3: .clampPoint() target is now required&quot;),b=new n);return b.copy(a).clamp(this.min,this.max)},distanceToPoint:function(a){return ze.copy(a).clamp(this.min,this.max).sub(a).length()},getBoundingSphere:function(a){void 0===a&&console.error(&quot;THREE.Box3: .getBoundingSphere() target is now required&quot;);this.getCenter(a.center);\n",
       "a.radius=.5*this.getSize(ze).length();return a},intersect:function(a){this.min.max(a.min);this.max.min(a.max);this.isEmpty()&&this.makeEmpty();return this},union:function(a){this.min.min(a.min);this.max.max(a.max);return this},applyMatrix4:function(a){if(this.isEmpty())return this;zb[0].set(this.min.x,this.min.y,this.min.z).applyMatrix4(a);zb[1].set(this.min.x,this.min.y,this.max.z).applyMatrix4(a);zb[2].set(this.min.x,this.max.y,this.min.z).applyMatrix4(a);zb[3].set(this.min.x,this.max.y,this.max.z).applyMatrix4(a);\n",
       "zb[4].set(this.max.x,this.min.y,this.min.z).applyMatrix4(a);zb[5].set(this.max.x,this.min.y,this.max.z).applyMatrix4(a);zb[6].set(this.max.x,this.max.y,this.min.z).applyMatrix4(a);zb[7].set(this.max.x,this.max.y,this.max.z).applyMatrix4(a);this.setFromPoints(zb);return this},translate:function(a){this.min.add(a);this.max.add(a);return this},equals:function(a){return a.min.equals(this.min)&&a.max.equals(this.max)}});var Xk=new Sa;Object.assign(pb.prototype,{set:function(a,b){this.center.copy(a);this.radius=\n",
       "b;return this},setFromPoints:function(a,b){var c=this.center;void 0!==b?c.copy(b):Xk.setFromPoints(a).getCenter(c);for(var d=b=0,e=a.length;d<e;d++)b=Math.max(b,c.distanceToSquared(a[d]));this.radius=Math.sqrt(b);return this},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.center.copy(a.center);this.radius=a.radius;return this},empty:function(){return 0>=this.radius},containsPoint:function(a){return a.distanceToSquared(this.center)<=this.radius*this.radius},distanceToPoint:function(a){return a.distanceTo(this.center)-\n",
       "this.radius},intersectsSphere:function(a){var b=this.radius+a.radius;return a.center.distanceToSquared(this.center)<=b*b},intersectsBox:function(a){return a.intersectsSphere(this)},intersectsPlane:function(a){return Math.abs(a.distanceToPoint(this.center))<=this.radius},clampPoint:function(a,b){var c=this.center.distanceToSquared(a);void 0===b&&(console.warn(&quot;THREE.Sphere: .clampPoint() target is now required&quot;),b=new n);b.copy(a);c>this.radius*this.radius&&(b.sub(this.center).normalize(),b.multiplyScalar(this.radius).add(this.center));\n",
       "return b},getBoundingBox:function(a){void 0===a&&(console.warn(&quot;THREE.Sphere: .getBoundingBox() target is now required&quot;),a=new Sa);a.set(this.center,this.center);a.expandByScalar(this.radius);return a},applyMatrix4:function(a){this.center.applyMatrix4(a);this.radius*=a.getMaxScaleOnAxis();return this},translate:function(a){this.center.add(a);return this},equals:function(a){return a.center.equals(this.center)&&a.radius===this.radius}});var Ab=new n,ch=new n,Hf=new n,Pb=new n,dh=new n,If=new n,eh=new n;\n",
       "Object.assign(Vb.prototype,{set:function(a,b){this.origin.copy(a);this.direction.copy(b);return this},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.origin.copy(a.origin);this.direction.copy(a.direction);return this},at:function(a,b){void 0===b&&(console.warn(&quot;THREE.Ray: .at() target is now required&quot;),b=new n);return b.copy(this.direction).multiplyScalar(a).add(this.origin)},lookAt:function(a){this.direction.copy(a).sub(this.origin).normalize();return this},recast:function(a){this.origin.copy(this.at(a,\n",
       "Ab));return this},closestPointToPoint:function(a,b){void 0===b&&(console.warn(&quot;THREE.Ray: .closestPointToPoint() target is now required&quot;),b=new n);b.subVectors(a,this.origin);a=b.dot(this.direction);return 0>a?b.copy(this.origin):b.copy(this.direction).multiplyScalar(a).add(this.origin)},distanceToPoint:function(a){return Math.sqrt(this.distanceSqToPoint(a))},distanceSqToPoint:function(a){var b=Ab.subVectors(a,this.origin).dot(this.direction);if(0>b)return this.origin.distanceToSquared(a);Ab.copy(this.direction).multiplyScalar(b).add(this.origin);\n",
       "return Ab.distanceToSquared(a)},distanceSqToSegment:function(a,b,c,d){ch.copy(a).add(b).multiplyScalar(.5);Hf.copy(b).sub(a).normalize();Pb.copy(this.origin).sub(ch);var e=.5*a.distanceTo(b),f=-this.direction.dot(Hf),g=Pb.dot(this.direction),h=-Pb.dot(Hf),l=Pb.lengthSq(),m=Math.abs(1-f*f);if(0<m){a=f*h-g;b=f*g-h;var k=e*m;0<=a?b>=-k?b<=k?(e=1/m,a*=e,b*=e,f=a*(a+f*b+2*g)+b*(f*a+b+2*h)+l):(b=e,a=Math.max(0,-(f*b+g)),f=-a*a+b*(b+2*h)+l):(b=-e,a=Math.max(0,-(f*b+g)),f=-a*a+b*(b+2*h)+l):b<=-k?(a=Math.max(0,\n",
       "-(-f*e+g)),b=0<a?-e:Math.min(Math.max(-e,-h),e),f=-a*a+b*(b+2*h)+l):b<=k?(a=0,b=Math.min(Math.max(-e,-h),e),f=b*(b+2*h)+l):(a=Math.max(0,-(f*e+g)),b=0<a?e:Math.min(Math.max(-e,-h),e),f=-a*a+b*(b+2*h)+l)}else b=0<f?-e:e,a=Math.max(0,-(f*b+g)),f=-a*a+b*(b+2*h)+l;c&&c.copy(this.direction).multiplyScalar(a).add(this.origin);d&&d.copy(Hf).multiplyScalar(b).add(ch);return f},intersectSphere:function(a,b){Ab.subVectors(a.center,this.origin);var c=Ab.dot(this.direction),d=Ab.dot(Ab)-c*c;a=a.radius*a.radius;\n",
       "if(d>a)return null;a=Math.sqrt(a-d);d=c-a;c+=a;return 0>d&&0>c?null:0>d?this.at(c,b):this.at(d,b)},intersectsSphere:function(a){return this.distanceSqToPoint(a.center)<=a.radius*a.radius},distanceToPlane:function(a){var b=a.normal.dot(this.direction);if(0===b)return 0===a.distanceToPoint(this.origin)?0:null;a=-(this.origin.dot(a.normal)+a.constant)/b;return 0<=a?a:null},intersectPlane:function(a,b){a=this.distanceToPlane(a);return null===a?null:this.at(a,b)},intersectsPlane:function(a){var b=a.distanceToPoint(this.origin);\n",
       "return 0===b||0>a.normal.dot(this.direction)*b?!0:!1},intersectBox:function(a,b){var c=1/this.direction.x;var d=1/this.direction.y;var e=1/this.direction.z,f=this.origin;if(0<=c){var g=(a.min.x-f.x)*c;c*=a.max.x-f.x}else g=(a.max.x-f.x)*c,c*=a.min.x-f.x;if(0<=d){var h=(a.min.y-f.y)*d;d*=a.max.y-f.y}else h=(a.max.y-f.y)*d,d*=a.min.y-f.y;if(g>d||h>c)return null;if(h>g||g!==g)g=h;if(d<c||c!==c)c=d;0<=e?(h=(a.min.z-f.z)*e,a=(a.max.z-f.z)*e):(h=(a.max.z-f.z)*e,a=(a.min.z-f.z)*e);if(g>a||h>c)return null;\n",
       "if(h>g||g!==g)g=h;if(a<c||c!==c)c=a;return 0>c?null:this.at(0<=g?g:c,b)},intersectsBox:function(a){return null!==this.intersectBox(a,Ab)},intersectTriangle:function(a,b,c,d,e){dh.subVectors(b,a);If.subVectors(c,a);eh.crossVectors(dh,If);b=this.direction.dot(eh);if(0<b){if(d)return null;d=1}else if(0>b)d=-1,b=-b;else return null;Pb.subVectors(this.origin,a);a=d*this.direction.dot(If.crossVectors(Pb,If));if(0>a)return null;c=d*this.direction.dot(dh.cross(Pb));if(0>c||a+c>b)return null;a=-d*Pb.dot(eh);\n",
       "return 0>a?null:this.at(a/b,e)},applyMatrix4:function(a){this.origin.applyMatrix4(a);this.direction.transformDirection(a);return this},equals:function(a){return a.origin.equals(this.origin)&&a.direction.equals(this.direction)}});var fh=new n,Yk=new n,Zk=new wa;Object.assign(Ta.prototype,{isPlane:!0,set:function(a,b){this.normal.copy(a);this.constant=b;return this},setComponents:function(a,b,c,d){this.normal.set(a,b,c);this.constant=d;return this},setFromNormalAndCoplanarPoint:function(a,b){this.normal.copy(a);\n",
       "this.constant=-b.dot(this.normal);return this},setFromCoplanarPoints:function(a,b,c){b=fh.subVectors(c,b).cross(Yk.subVectors(a,b)).normalize();this.setFromNormalAndCoplanarPoint(b,a);return this},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.normal.copy(a.normal);this.constant=a.constant;return this},normalize:function(){var a=1/this.normal.length();this.normal.multiplyScalar(a);this.constant*=a;return this},negate:function(){this.constant*=-1;this.normal.negate();\n",
       "return this},distanceToPoint:function(a){return this.normal.dot(a)+this.constant},distanceToSphere:function(a){return this.distanceToPoint(a.center)-a.radius},projectPoint:function(a,b){void 0===b&&(console.warn(&quot;THREE.Plane: .projectPoint() target is now required&quot;),b=new n);return b.copy(this.normal).multiplyScalar(-this.distanceToPoint(a)).add(a)},intersectLine:function(a,b){void 0===b&&(console.warn(&quot;THREE.Plane: .intersectLine() target is now required&quot;),b=new n);var c=a.delta(fh),d=this.normal.dot(c);\n",
       "if(0===d){if(0===this.distanceToPoint(a.start))return b.copy(a.start)}else if(d=-(a.start.dot(this.normal)+this.constant)/d,!(0>d||1<d))return b.copy(c).multiplyScalar(d).add(a.start)},intersectsLine:function(a){var b=this.distanceToPoint(a.start);a=this.distanceToPoint(a.end);return 0>b&&0<a||0>a&&0<b},intersectsBox:function(a){return a.intersectsPlane(this)},intersectsSphere:function(a){return a.intersectsPlane(this)},coplanarPoint:function(a){void 0===a&&(console.warn(&quot;THREE.Plane: .coplanarPoint() target is now required&quot;),\n",
       "a=new n);return a.copy(this.normal).multiplyScalar(-this.constant)},applyMatrix4:function(a,b){b=b||Zk.getNormalMatrix(a);a=this.coplanarPoint(fh).applyMatrix4(a);b=this.normal.applyMatrix3(b).normalize();this.constant=-a.dot(b);return this},translate:function(a){this.constant-=a.dot(this.normal);return this},equals:function(a){return a.normal.equals(this.normal)&&a.constant===this.constant}});var bb=new n,Bb=new n,gh=new n,Cb=new n,td=new n,ud=new n,Oi=new n,hh=new n,ih=new n,jh=new n;Object.assign(oa,\n",
       "{getNormal:function(a,b,c,d){void 0===d&&(console.warn(&quot;THREE.Triangle: .getNormal() target is now required&quot;),d=new n);d.subVectors(c,b);bb.subVectors(a,b);d.cross(bb);a=d.lengthSq();return 0<a?d.multiplyScalar(1/Math.sqrt(a)):d.set(0,0,0)},getBarycoord:function(a,b,c,d,e){bb.subVectors(d,b);Bb.subVectors(c,b);gh.subVectors(a,b);a=bb.dot(bb);b=bb.dot(Bb);c=bb.dot(gh);var f=Bb.dot(Bb);d=Bb.dot(gh);var g=a*f-b*b;void 0===e&&(console.warn(&quot;THREE.Triangle: .getBarycoord() target is now required&quot;),e=new n);\n",
       "if(0===g)return e.set(-2,-1,-1);g=1/g;f=(f*c-b*d)*g;a=(a*d-b*c)*g;return e.set(1-f-a,a,f)},containsPoint:function(a,b,c,d){oa.getBarycoord(a,b,c,d,Cb);return 0<=Cb.x&&0<=Cb.y&&1>=Cb.x+Cb.y},getUV:function(a,b,c,d,e,f,g,h){this.getBarycoord(a,b,c,d,Cb);h.set(0,0);h.addScaledVector(e,Cb.x);h.addScaledVector(f,Cb.y);h.addScaledVector(g,Cb.z);return h},isFrontFacing:function(a,b,c,d){bb.subVectors(c,b);Bb.subVectors(a,b);return 0>bb.cross(Bb).dot(d)?!0:!1}});Object.assign(oa.prototype,{set:function(a,\n",
       "b,c){this.a.copy(a);this.b.copy(b);this.c.copy(c);return this},setFromPointsAndIndices:function(a,b,c,d){this.a.copy(a[b]);this.b.copy(a[c]);this.c.copy(a[d]);return this},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.a.copy(a.a);this.b.copy(a.b);this.c.copy(a.c);return this},getArea:function(){bb.subVectors(this.c,this.b);Bb.subVectors(this.a,this.b);return.5*bb.cross(Bb).length()},getMidpoint:function(a){void 0===a&&(console.warn(&quot;THREE.Triangle: .getMidpoint() target is now required&quot;),\n",
       "a=new n);return a.addVectors(this.a,this.b).add(this.c).multiplyScalar(1/3)},getNormal:function(a){return oa.getNormal(this.a,this.b,this.c,a)},getPlane:function(a){void 0===a&&(console.warn(&quot;THREE.Triangle: .getPlane() target is now required&quot;),a=new Ta);return a.setFromCoplanarPoints(this.a,this.b,this.c)},getBarycoord:function(a,b){return oa.getBarycoord(a,this.a,this.b,this.c,b)},getUV:function(a,b,c,d,e){return oa.getUV(a,this.a,this.b,this.c,b,c,d,e)},containsPoint:function(a){return oa.containsPoint(a,\n",
       "this.a,this.b,this.c)},isFrontFacing:function(a){return oa.isFrontFacing(this.a,this.b,this.c,a)},intersectsBox:function(a){return a.intersectsTriangle(this)},closestPointToPoint:function(a,b){void 0===b&&(console.warn(&quot;THREE.Triangle: .closestPointToPoint() target is now required&quot;),b=new n);var c=this.a,d=this.b,e=this.c;td.subVectors(d,c);ud.subVectors(e,c);hh.subVectors(a,c);var f=td.dot(hh),g=ud.dot(hh);if(0>=f&&0>=g)return b.copy(c);ih.subVectors(a,d);var h=td.dot(ih),l=ud.dot(ih);if(0<=h&&l<=\n",
       "h)return b.copy(d);var m=f*l-h*g;if(0>=m&&0<=f&&0>=h)return d=f/(f-h),b.copy(c).addScaledVector(td,d);jh.subVectors(a,e);a=td.dot(jh);var k=ud.dot(jh);if(0<=k&&a<=k)return b.copy(e);f=a*g-f*k;if(0>=f&&0<=g&&0>=k)return m=g/(g-k),b.copy(c).addScaledVector(ud,m);g=h*k-a*l;if(0>=g&&0<=l-h&&0<=a-k)return Oi.subVectors(e,d),m=(l-h)/(l-h+(a-k)),b.copy(d).addScaledVector(Oi,m);e=1/(g+f+m);d=f*e;m*=e;return b.copy(c).addScaledVector(td,d).addScaledVector(ud,m)},equals:function(a){return a.a.equals(this.a)&&\n",
       "a.b.equals(this.b)&&a.c.equals(this.c)}});var Pi={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,\n",
       "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,\n",
       "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,\n",
       "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,\n",
       "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,\n",
       "steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074},za={h:0,s:0,l:0},Jf={h:0,s:0,l:0};Object.assign(A.prototype,{isColor:!0,r:1,g:1,b:1,set:function(a){a&&a.isColor?this.copy(a):&quot;number&quot;===typeof a?this.setHex(a):&quot;string&quot;===typeof a&&this.setStyle(a);return this},setScalar:function(a){this.b=this.g=this.r=a;return this},setHex:function(a){a=Math.floor(a);\n",
       "this.r=(a>>16&255)/255;this.g=(a>>8&255)/255;this.b=(a&255)/255;return this},setRGB:function(a,b,c){this.r=a;this.g=b;this.b=c;return this},setHSL:function(a,b,c){a=L.euclideanModulo(a,1);b=L.clamp(b,0,1);c=L.clamp(c,0,1);0===b?this.r=this.g=this.b=c:(b=.5>=c?c*(1+b):c+b-c*b,c=2*c-b,this.r=ag(c,b,a+1/3),this.g=ag(c,b,a),this.b=ag(c,b,a-1/3));return this},setStyle:function(a){function b(b){void 0!==b&&1>parseFloat(b)&&console.warn(&quot;THREE.Color: Alpha component of &quot;+a+&quot; will be ignored.&quot;)}var c;if(c=\n",
       "/^((?:rgb|hsl)a?)\\(\\s*([^\\)]*)\\)/.exec(a)){var d=c[2];switch(c[1]){case &quot;rgb&quot;:case &quot;rgba&quot;:if(c=/^(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d+)\\s*(,\\s*([0-9]*\\.?[0-9]+)\\s*)?$/.exec(d))return this.r=Math.min(255,parseInt(c[1],10))/255,this.g=Math.min(255,parseInt(c[2],10))/255,this.b=Math.min(255,parseInt(c[3],10))/255,b(c[5]),this;if(c=/^(\\d+)%\\s*,\\s*(\\d+)%\\s*,\\s*(\\d+)%\\s*(,\\s*([0-9]*\\.?[0-9]+)\\s*)?$/.exec(d))return this.r=Math.min(100,parseInt(c[1],10))/100,this.g=Math.min(100,parseInt(c[2],10))/100,this.b=Math.min(100,\n",
       "parseInt(c[3],10))/100,b(c[5]),this;break;case &quot;hsl&quot;:case &quot;hsla&quot;:if(c=/^([0-9]*\\.?[0-9]+)\\s*,\\s*(\\d+)%\\s*,\\s*(\\d+)%\\s*(,\\s*([0-9]*\\.?[0-9]+)\\s*)?$/.exec(d)){d=parseFloat(c[1])/360;var e=parseInt(c[2],10)/100,f=parseInt(c[3],10)/100;b(c[5]);return this.setHSL(d,e,f)}}}else if(c=/^#([A-Fa-f0-9]+)$/.exec(a)){c=c[1];d=c.length;if(3===d)return this.r=parseInt(c.charAt(0)+c.charAt(0),16)/255,this.g=parseInt(c.charAt(1)+c.charAt(1),16)/255,this.b=parseInt(c.charAt(2)+c.charAt(2),16)/255,this;if(6===d)return this.r=\n",
       "parseInt(c.charAt(0)+c.charAt(1),16)/255,this.g=parseInt(c.charAt(2)+c.charAt(3),16)/255,this.b=parseInt(c.charAt(4)+c.charAt(5),16)/255,this}return a&&0<a.length?this.setColorName(a):this},setColorName:function(a){var b=Pi[a];void 0!==b?this.setHex(b):console.warn(&quot;THREE.Color: Unknown color &quot;+a);return this},clone:function(){return new this.constructor(this.r,this.g,this.b)},copy:function(a){this.r=a.r;this.g=a.g;this.b=a.b;return this},copyGammaToLinear:function(a,b){void 0===b&&(b=2);this.r=Math.pow(a.r,\n",
       "b);this.g=Math.pow(a.g,b);this.b=Math.pow(a.b,b);return this},copyLinearToGamma:function(a,b){void 0===b&&(b=2);b=0<b?1/b:1;this.r=Math.pow(a.r,b);this.g=Math.pow(a.g,b);this.b=Math.pow(a.b,b);return this},convertGammaToLinear:function(a){this.copyGammaToLinear(this,a);return this},convertLinearToGamma:function(a){this.copyLinearToGamma(this,a);return this},copySRGBToLinear:function(a){this.r=bg(a.r);this.g=bg(a.g);this.b=bg(a.b);return this},copyLinearToSRGB:function(a){this.r=cg(a.r);this.g=cg(a.g);\n",
       "this.b=cg(a.b);return this},convertSRGBToLinear:function(){this.copySRGBToLinear(this);return this},convertLinearToSRGB:function(){this.copyLinearToSRGB(this);return this},getHex:function(){return 255*this.r<<16^255*this.g<<8^255*this.b<<0},getHexString:function(){return(&quot;000000&quot;+this.getHex().toString(16)).slice(-6)},getHSL:function(a){void 0===a&&(console.warn(&quot;THREE.Color: .getHSL() target is now required&quot;),a={h:0,s:0,l:0});var b=this.r,c=this.g,d=this.b,e=Math.max(b,c,d),f=Math.min(b,c,d),g,h=\n",
       "(f+e)/2;if(f===e)f=g=0;else{var l=e-f;f=.5>=h?l/(e+f):l/(2-e-f);switch(e){case b:g=(c-d)/l+(c<d?6:0);break;case c:g=(d-b)/l+2;break;case d:g=(b-c)/l+4}g/=6}a.h=g;a.s=f;a.l=h;return a},getStyle:function(){return&quot;rgb(&quot;+(255*this.r|0)+&quot;,&quot;+(255*this.g|0)+&quot;,&quot;+(255*this.b|0)+&quot;)&quot;},offsetHSL:function(a,b,c){this.getHSL(za);za.h+=a;za.s+=b;za.l+=c;this.setHSL(za.h,za.s,za.l);return this},add:function(a){this.r+=a.r;this.g+=a.g;this.b+=a.b;return this},addColors:function(a,b){this.r=a.r+b.r;this.g=a.g+b.g;\n",
       "this.b=a.b+b.b;return this},addScalar:function(a){this.r+=a;this.g+=a;this.b+=a;return this},sub:function(a){this.r=Math.max(0,this.r-a.r);this.g=Math.max(0,this.g-a.g);this.b=Math.max(0,this.b-a.b);return this},multiply:function(a){this.r*=a.r;this.g*=a.g;this.b*=a.b;return this},multiplyScalar:function(a){this.r*=a;this.g*=a;this.b*=a;return this},lerp:function(a,b){this.r+=(a.r-this.r)*b;this.g+=(a.g-this.g)*b;this.b+=(a.b-this.b)*b;return this},lerpHSL:function(a,b){this.getHSL(za);a.getHSL(Jf);\n",
       "a=L.lerp(za.h,Jf.h,b);var c=L.lerp(za.s,Jf.s,b);b=L.lerp(za.l,Jf.l,b);this.setHSL(a,c,b);return this},equals:function(a){return a.r===this.r&&a.g===this.g&&a.b===this.b},fromArray:function(a,b){void 0===b&&(b=0);this.r=a[b];this.g=a[b+1];this.b=a[b+2];return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);a[b]=this.r;a[b+1]=this.g;a[b+2]=this.b;return a},toJSON:function(){return this.getHex()}});A.NAMES=Pi;Object.assign(Bc.prototype,{clone:function(){return(new this.constructor).copy(this)},\n",
       "copy:function(a){this.a=a.a;this.b=a.b;this.c=a.c;this.normal.copy(a.normal);this.color.copy(a.color);this.materialIndex=a.materialIndex;for(var b=0,c=a.vertexNormals.length;b<c;b++)this.vertexNormals[b]=a.vertexNormals[b].clone();b=0;for(c=a.vertexColors.length;b<c;b++)this.vertexColors[b]=a.vertexColors[b].clone();return this}});var rj=0;K.prototype=Object.assign(Object.create(Ea.prototype),{constructor:K,isMaterial:!0,onBeforeCompile:function(){},setValues:function(a){if(void 0!==a)for(var b in a){var c=\n",
       "a[b];if(void 0===c)console.warn(&quot;THREE.Material: '&quot;+b+&quot;' parameter is undefined.&quot;);else if(&quot;shading&quot;===b)console.warn(&quot;THREE.&quot;+this.type+&quot;: .shading has been removed. Use the boolean .flatShading instead.&quot;),this.flatShading=1===c?!0:!1;else{var d=this[b];void 0===d?console.warn(&quot;THREE.&quot;+this.type+&quot;: '&quot;+b+&quot;' is not a property of this material.&quot;):d&&d.isColor?d.set(c):d&&d.isVector3&&c&&c.isVector3?d.copy(c):this[b]=c}}},toJSON:function(a){function b(a){var b=[],c;for(c in a){var d=a[c];delete d.metadata;\n",
       "b.push(d)}return b}var c=void 0===a||&quot;string&quot;===typeof a;c&&(a={textures:{},images:{}});var d={metadata:{version:4.5,type:&quot;Material&quot;,generator:&quot;Material.toJSON&quot;}};d.uuid=this.uuid;d.type=this.type;&quot;&quot;!==this.name&&(d.name=this.name);this.color&&this.color.isColor&&(d.color=this.color.getHex());void 0!==this.roughness&&(d.roughness=this.roughness);void 0!==this.metalness&&(d.metalness=this.metalness);this.sheen&&this.sheen.isColor&&(d.sheen=this.sheen.getHex());this.emissive&&this.emissive.isColor&&\n",
       "(d.emissive=this.emissive.getHex());this.emissiveIntensity&&1!==this.emissiveIntensity&&(d.emissiveIntensity=this.emissiveIntensity);this.specular&&this.specular.isColor&&(d.specular=this.specular.getHex());void 0!==this.shininess&&(d.shininess=this.shininess);void 0!==this.clearcoat&&(d.clearcoat=this.clearcoat);void 0!==this.clearcoatRoughness&&(d.clearcoatRoughness=this.clearcoatRoughness);this.clearcoatMap&&this.clearcoatMap.isTexture&&(d.clearcoatMap=this.clearcoatMap.toJSON(a).uuid);this.clearcoatRoughnessMap&&\n",
       "this.clearcoatRoughnessMap.isTexture&&(d.clearcoatRoughnessMap=this.clearcoatRoughnessMap.toJSON(a).uuid);this.clearcoatNormalMap&&this.clearcoatNormalMap.isTexture&&(d.clearcoatNormalMap=this.clearcoatNormalMap.toJSON(a).uuid,d.clearcoatNormalScale=this.clearcoatNormalScale.toArray());this.map&&this.map.isTexture&&(d.map=this.map.toJSON(a).uuid);this.matcap&&this.matcap.isTexture&&(d.matcap=this.matcap.toJSON(a).uuid);this.alphaMap&&this.alphaMap.isTexture&&(d.alphaMap=this.alphaMap.toJSON(a).uuid);\n",
       "this.lightMap&&this.lightMap.isTexture&&(d.lightMap=this.lightMap.toJSON(a).uuid);this.aoMap&&this.aoMap.isTexture&&(d.aoMap=this.aoMap.toJSON(a).uuid,d.aoMapIntensity=this.aoMapIntensity);this.bumpMap&&this.bumpMap.isTexture&&(d.bumpMap=this.bumpMap.toJSON(a).uuid,d.bumpScale=this.bumpScale);this.normalMap&&this.normalMap.isTexture&&(d.normalMap=this.normalMap.toJSON(a).uuid,d.normalMapType=this.normalMapType,d.normalScale=this.normalScale.toArray());this.displacementMap&&this.displacementMap.isTexture&&\n",
       "(d.displacementMap=this.displacementMap.toJSON(a).uuid,d.displacementScale=this.displacementScale,d.displacementBias=this.displacementBias);this.roughnessMap&&this.roughnessMap.isTexture&&(d.roughnessMap=this.roughnessMap.toJSON(a).uuid);this.metalnessMap&&this.metalnessMap.isTexture&&(d.metalnessMap=this.metalnessMap.toJSON(a).uuid);this.emissiveMap&&this.emissiveMap.isTexture&&(d.emissiveMap=this.emissiveMap.toJSON(a).uuid);this.specularMap&&this.specularMap.isTexture&&(d.specularMap=this.specularMap.toJSON(a).uuid);\n",
       "this.envMap&&this.envMap.isTexture&&(d.envMap=this.envMap.toJSON(a).uuid,d.reflectivity=this.reflectivity,d.refractionRatio=this.refractionRatio,void 0!==this.combine&&(d.combine=this.combine),void 0!==this.envMapIntensity&&(d.envMapIntensity=this.envMapIntensity));this.gradientMap&&this.gradientMap.isTexture&&(d.gradientMap=this.gradientMap.toJSON(a).uuid);void 0!==this.size&&(d.size=this.size);void 0!==this.sizeAttenuation&&(d.sizeAttenuation=this.sizeAttenuation);1!==this.blending&&(d.blending=\n",
       "this.blending);!0===this.flatShading&&(d.flatShading=this.flatShading);0!==this.side&&(d.side=this.side);this.vertexColors&&(d.vertexColors=!0);1>this.opacity&&(d.opacity=this.opacity);!0===this.transparent&&(d.transparent=this.transparent);d.depthFunc=this.depthFunc;d.depthTest=this.depthTest;d.depthWrite=this.depthWrite;d.stencilWrite=this.stencilWrite;d.stencilWriteMask=this.stencilWriteMask;d.stencilFunc=this.stencilFunc;d.stencilRef=this.stencilRef;d.stencilFuncMask=this.stencilFuncMask;d.stencilFail=\n",
       "this.stencilFail;d.stencilZFail=this.stencilZFail;d.stencilZPass=this.stencilZPass;this.rotation&&0!==this.rotation&&(d.rotation=this.rotation);!0===this.polygonOffset&&(d.polygonOffset=!0);0!==this.polygonOffsetFactor&&(d.polygonOffsetFactor=this.polygonOffsetFactor);0!==this.polygonOffsetUnits&&(d.polygonOffsetUnits=this.polygonOffsetUnits);this.linewidth&&1!==this.linewidth&&(d.linewidth=this.linewidth);void 0!==this.dashSize&&(d.dashSize=this.dashSize);void 0!==this.gapSize&&(d.gapSize=this.gapSize);\n",
       "void 0!==this.scale&&(d.scale=this.scale);!0===this.dithering&&(d.dithering=!0);0<this.alphaTest&&(d.alphaTest=this.alphaTest);!0===this.premultipliedAlpha&&(d.premultipliedAlpha=this.premultipliedAlpha);!0===this.wireframe&&(d.wireframe=this.wireframe);1<this.wireframeLinewidth&&(d.wireframeLinewidth=this.wireframeLinewidth);&quot;round&quot;!==this.wireframeLinecap&&(d.wireframeLinecap=this.wireframeLinecap);&quot;round&quot;!==this.wireframeLinejoin&&(d.wireframeLinejoin=this.wireframeLinejoin);!0===this.morphTargets&&\n",
       "(d.morphTargets=!0);!0===this.morphNormals&&(d.morphNormals=!0);!0===this.skinning&&(d.skinning=!0);!1===this.visible&&(d.visible=!1);!1===this.toneMapped&&(d.toneMapped=!1);&quot;{}&quot;!==JSON.stringify(this.userData)&&(d.userData=this.userData);c&&(c=b(a.textures),a=b(a.images),0<c.length&&(d.textures=c),0<a.length&&(d.images=a));return d},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.name=a.name;this.fog=a.fog;this.blending=a.blending;this.side=a.side;this.flatShading=\n",
       "a.flatShading;this.vertexColors=a.vertexColors;this.opacity=a.opacity;this.transparent=a.transparent;this.blendSrc=a.blendSrc;this.blendDst=a.blendDst;this.blendEquation=a.blendEquation;this.blendSrcAlpha=a.blendSrcAlpha;this.blendDstAlpha=a.blendDstAlpha;this.blendEquationAlpha=a.blendEquationAlpha;this.depthFunc=a.depthFunc;this.depthTest=a.depthTest;this.depthWrite=a.depthWrite;this.stencilWriteMask=a.stencilWriteMask;this.stencilFunc=a.stencilFunc;this.stencilRef=a.stencilRef;this.stencilFuncMask=\n",
       "a.stencilFuncMask;this.stencilFail=a.stencilFail;this.stencilZFail=a.stencilZFail;this.stencilZPass=a.stencilZPass;this.stencilWrite=a.stencilWrite;var b=a.clippingPlanes,c=null;if(null!==b){var d=b.length;c=Array(d);for(var e=0;e!==d;++e)c[e]=b[e].clone()}this.clippingPlanes=c;this.clipIntersection=a.clipIntersection;this.clipShadows=a.clipShadows;this.shadowSide=a.shadowSide;this.colorWrite=a.colorWrite;this.precision=a.precision;this.polygonOffset=a.polygonOffset;this.polygonOffsetFactor=a.polygonOffsetFactor;\n",
       "this.polygonOffsetUnits=a.polygonOffsetUnits;this.dithering=a.dithering;this.alphaTest=a.alphaTest;this.premultipliedAlpha=a.premultipliedAlpha;this.visible=a.visible;this.toneMapped=a.toneMapped;this.userData=JSON.parse(JSON.stringify(a.userData));return this},dispose:function(){this.dispatchEvent({type:&quot;dispose&quot;})}});Object.defineProperty(K.prototype,&quot;needsUpdate&quot;,{set:function(a){!0===a&&this.version++}});Oa.prototype=Object.create(K.prototype);Oa.prototype.constructor=Oa;Oa.prototype.isMeshBasicMaterial=\n",
       "!0;Oa.prototype.copy=function(a){K.prototype.copy.call(this,a);this.color.copy(a.color);this.map=a.map;this.lightMap=a.lightMap;this.lightMapIntensity=a.lightMapIntensity;this.aoMap=a.aoMap;this.aoMapIntensity=a.aoMapIntensity;this.specularMap=a.specularMap;this.alphaMap=a.alphaMap;this.envMap=a.envMap;this.combine=a.combine;this.reflectivity=a.reflectivity;this.refractionRatio=a.refractionRatio;this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;this.wireframeLinecap=a.wireframeLinecap;\n",
       "this.wireframeLinejoin=a.wireframeLinejoin;this.skinning=a.skinning;this.morphTargets=a.morphTargets;return this};var ba=new n;Object.defineProperty(M.prototype,&quot;needsUpdate&quot;,{set:function(a){!0===a&&this.version++}});Object.assign(M.prototype,{isBufferAttribute:!0,onUploadCallback:function(){},setUsage:function(a){this.usage=a;return this},copy:function(a){this.name=a.name;this.array=new a.array.constructor(a.array);this.itemSize=a.itemSize;this.count=a.count;this.normalized=a.normalized;this.usage=\n",
       "a.usage;return this},copyAt:function(a,b,c){a*=this.itemSize;c*=b.itemSize;for(var d=0,e=this.itemSize;d<e;d++)this.array[a+d]=b.array[c+d];return this},copyArray:function(a){this.array.set(a);return this},copyColorsArray:function(a){for(var b=this.array,c=0,d=0,e=a.length;d<e;d++){var f=a[d];void 0===f&&(console.warn(&quot;THREE.BufferAttribute.copyColorsArray(): color is undefined&quot;,d),f=new A);b[c++]=f.r;b[c++]=f.g;b[c++]=f.b}return this},copyVector2sArray:function(a){for(var b=this.array,c=0,d=0,e=\n",
       "a.length;d<e;d++){var f=a[d];void 0===f&&(console.warn(&quot;THREE.BufferAttribute.copyVector2sArray(): vector is undefined&quot;,d),f=new t);b[c++]=f.x;b[c++]=f.y}return this},copyVector3sArray:function(a){for(var b=this.array,c=0,d=0,e=a.length;d<e;d++){var f=a[d];void 0===f&&(console.warn(&quot;THREE.BufferAttribute.copyVector3sArray(): vector is undefined&quot;,d),f=new n);b[c++]=f.x;b[c++]=f.y;b[c++]=f.z}return this},copyVector4sArray:function(a){for(var b=this.array,c=0,d=0,e=a.length;d<e;d++){var f=a[d];void 0===\n",
       "f&&(console.warn(&quot;THREE.BufferAttribute.copyVector4sArray(): vector is undefined&quot;,d),f=new ka);b[c++]=f.x;b[c++]=f.y;b[c++]=f.z;b[c++]=f.w}return this},applyMatrix3:function(a){for(var b=0,c=this.count;b<c;b++)ba.x=this.getX(b),ba.y=this.getY(b),ba.z=this.getZ(b),ba.applyMatrix3(a),this.setXYZ(b,ba.x,ba.y,ba.z);return this},applyMatrix4:function(a){for(var b=0,c=this.count;b<c;b++)ba.x=this.getX(b),ba.y=this.getY(b),ba.z=this.getZ(b),ba.applyMatrix4(a),this.setXYZ(b,ba.x,ba.y,ba.z);return this},applyNormalMatrix:function(a){for(var b=\n",
       "0,c=this.count;b<c;b++)ba.x=this.getX(b),ba.y=this.getY(b),ba.z=this.getZ(b),ba.applyNormalMatrix(a),this.setXYZ(b,ba.x,ba.y,ba.z);return this},transformDirection:function(a){for(var b=0,c=this.count;b<c;b++)ba.x=this.getX(b),ba.y=this.getY(b),ba.z=this.getZ(b),ba.transformDirection(a),this.setXYZ(b,ba.x,ba.y,ba.z);return this},set:function(a,b){void 0===b&&(b=0);this.array.set(a,b);return this},getX:function(a){return this.array[a*this.itemSize]},setX:function(a,b){this.array[a*this.itemSize]=b;\n",
       "return this},getY:function(a){return this.array[a*this.itemSize+1]},setY:function(a,b){this.array[a*this.itemSize+1]=b;return this},getZ:function(a){return this.array[a*this.itemSize+2]},setZ:function(a,b){this.array[a*this.itemSize+2]=b;return this},getW:function(a){return this.array[a*this.itemSize+3]},setW:function(a,b){this.array[a*this.itemSize+3]=b;return this},setXY:function(a,b,c){a*=this.itemSize;this.array[a+0]=b;this.array[a+1]=c;return this},setXYZ:function(a,b,c,d){a*=this.itemSize;this.array[a+\n",
       "0]=b;this.array[a+1]=c;this.array[a+2]=d;return this},setXYZW:function(a,b,c,d,e){a*=this.itemSize;this.array[a+0]=b;this.array[a+1]=c;this.array[a+2]=d;this.array[a+3]=e;return this},onUpload:function(a){this.onUploadCallback=a;return this},clone:function(){return(new this.constructor(this.array,this.itemSize)).copy(this)},toJSON:function(){return{itemSize:this.itemSize,type:this.array.constructor.name,array:Array.prototype.slice.call(this.array),normalized:this.normalized}}});Bd.prototype=Object.create(M.prototype);\n",
       "Bd.prototype.constructor=Bd;Cd.prototype=Object.create(M.prototype);Cd.prototype.constructor=Cd;Dd.prototype=Object.create(M.prototype);Dd.prototype.constructor=Dd;Ed.prototype=Object.create(M.prototype);Ed.prototype.constructor=Ed;Wb.prototype=Object.create(M.prototype);Wb.prototype.constructor=Wb;Fd.prototype=Object.create(M.prototype);Fd.prototype.constructor=Fd;Xb.prototype=Object.create(M.prototype);Xb.prototype.constructor=Xb;y.prototype=Object.create(M.prototype);y.prototype.constructor=y;\n",
       "Gd.prototype=Object.create(M.prototype);Gd.prototype.constructor=Gd;Object.assign(xh.prototype,{computeGroups:function(a){var b=[],c=void 0;a=a.faces;for(var d=0;d<a.length;d++){var e=a[d];if(e.materialIndex!==c){c=e.materialIndex;void 0!==f&&(f.count=3*d-f.start,b.push(f));var f={start:3*d,materialIndex:c}}}void 0!==f&&(f.count=3*d-f.start,b.push(f));this.groups=b},fromGeometry:function(a){var b=a.faces,c=a.vertices,d=a.faceVertexUvs,e=d[0]&&0<d[0].length,f=d[1]&&0<d[1].length,g=a.morphTargets,h=\n",
       "g.length;if(0<h){var l=[];for(var m=0;m<h;m++)l[m]={name:g[m].name,data:[]};this.morphTargets.position=l}var k=a.morphNormals,p=k.length;if(0<p){var n=[];for(m=0;m<p;m++)n[m]={name:k[m].name,data:[]};this.morphTargets.normal=n}var r=a.skinIndices,q=a.skinWeights,v=r.length===c.length,E=q.length===c.length;0<c.length&&0===b.length&&console.error(&quot;THREE.DirectGeometry: Faceless geometries are not supported.&quot;);for(m=0;m<b.length;m++){var w=b[m];this.vertices.push(c[w.a],c[w.b],c[w.c]);var z=w.vertexNormals;\n",
       "3===z.length?this.normals.push(z[0],z[1],z[2]):(z=w.normal,this.normals.push(z,z,z));z=w.vertexColors;3===z.length?this.colors.push(z[0],z[1],z[2]):(z=w.color,this.colors.push(z,z,z));!0===e&&(z=d[0][m],void 0!==z?this.uvs.push(z[0],z[1],z[2]):(console.warn(&quot;THREE.DirectGeometry.fromGeometry(): Undefined vertexUv &quot;,m),this.uvs.push(new t,new t,new t)));!0===f&&(z=d[1][m],void 0!==z?this.uvs2.push(z[0],z[1],z[2]):(console.warn(&quot;THREE.DirectGeometry.fromGeometry(): Undefined vertexUv2 &quot;,m),this.uvs2.push(new t,\n",
       "new t,new t)));for(z=0;z<h;z++){var y=g[z].vertices;l[z].data.push(y[w.a],y[w.b],y[w.c])}for(z=0;z<p;z++)y=k[z].vertexNormals[m],n[z].data.push(y.a,y.b,y.c);v&&this.skinIndices.push(r[w.a],r[w.b],r[w.c]);E&&this.skinWeights.push(q[w.a],q[w.b],q[w.c])}this.computeGroups(a);this.verticesNeedUpdate=a.verticesNeedUpdate;this.normalsNeedUpdate=a.normalsNeedUpdate;this.colorsNeedUpdate=a.colorsNeedUpdate;this.uvsNeedUpdate=a.uvsNeedUpdate;this.groupsNeedUpdate=a.groupsNeedUpdate;null!==a.boundingSphere&&\n",
       "(this.boundingSphere=a.boundingSphere.clone());null!==a.boundingBox&&(this.boundingBox=a.boundingBox.clone());return this}});var sj=1,mb=new P,kh=new F,vd=new n,Na=new Sa,Be=new Sa,ea=new n;C.prototype=Object.assign(Object.create(Ea.prototype),{constructor:C,isBufferGeometry:!0,getIndex:function(){return this.index},setIndex:function(a){Array.isArray(a)?this.index=new (65535<yh(a)?Xb:Wb)(a,1):this.index=a},getAttribute:function(a){return this.attributes[a]},setAttribute:function(a,b){this.attributes[a]=\n",
       "b;return this},deleteAttribute:function(a){delete this.attributes[a];return this},addGroup:function(a,b,c){this.groups.push({start:a,count:b,materialIndex:void 0!==c?c:0})},clearGroups:function(){this.groups=[]},setDrawRange:function(a,b){this.drawRange.start=a;this.drawRange.count=b},applyMatrix4:function(a){var b=this.attributes.position;void 0!==b&&(b.applyMatrix4(a),b.needsUpdate=!0);b=this.attributes.normal;if(void 0!==b){var c=(new wa).getNormalMatrix(a);b.applyNormalMatrix(c);b.needsUpdate=\n",
       "!0}b=this.attributes.tangent;void 0!==b&&(b.transformDirection(a),b.needsUpdate=!0);null!==this.boundingBox&&this.computeBoundingBox();null!==this.boundingSphere&&this.computeBoundingSphere();return this},rotateX:function(a){mb.makeRotationX(a);this.applyMatrix4(mb);return this},rotateY:function(a){mb.makeRotationY(a);this.applyMatrix4(mb);return this},rotateZ:function(a){mb.makeRotationZ(a);this.applyMatrix4(mb);return this},translate:function(a,b,c){mb.makeTranslation(a,b,c);this.applyMatrix4(mb);\n",
       "return this},scale:function(a,b,c){mb.makeScale(a,b,c);this.applyMatrix4(mb);return this},lookAt:function(a){kh.lookAt(a);kh.updateMatrix();this.applyMatrix4(kh.matrix);return this},center:function(){this.computeBoundingBox();this.boundingBox.getCenter(vd).negate();this.translate(vd.x,vd.y,vd.z);return this},setFromObject:function(a){var b=a.geometry;if(a.isPoints||a.isLine){a=new y(3*b.vertices.length,3);var c=new y(3*b.colors.length,3);this.setAttribute(&quot;position&quot;,a.copyVector3sArray(b.vertices));\n",
       "this.setAttribute(&quot;color&quot;,c.copyColorsArray(b.colors));b.lineDistances&&b.lineDistances.length===b.vertices.length&&(a=new y(b.lineDistances.length,1),this.setAttribute(&quot;lineDistance&quot;,a.copyArray(b.lineDistances)));null!==b.boundingSphere&&(this.boundingSphere=b.boundingSphere.clone());null!==b.boundingBox&&(this.boundingBox=b.boundingBox.clone())}else a.isMesh&&b&&b.isGeometry&&this.fromGeometry(b);return this},setFromPoints:function(a){for(var b=[],c=0,d=a.length;c<d;c++){var e=a[c];b.push(e.x,\n",
       "e.y,e.z||0)}this.setAttribute(&quot;position&quot;,new y(b,3));return this},updateFromObject:function(a){var b=a.geometry;if(a.isMesh){var c=b.__directGeometry;!0===b.elementsNeedUpdate&&(c=void 0,b.elementsNeedUpdate=!1);if(void 0===c)return this.fromGeometry(b);c.verticesNeedUpdate=b.verticesNeedUpdate;c.normalsNeedUpdate=b.normalsNeedUpdate;c.colorsNeedUpdate=b.colorsNeedUpdate;c.uvsNeedUpdate=b.uvsNeedUpdate;c.groupsNeedUpdate=b.groupsNeedUpdate;b.verticesNeedUpdate=!1;b.normalsNeedUpdate=!1;b.colorsNeedUpdate=\n",
       "!1;b.uvsNeedUpdate=!1;b.groupsNeedUpdate=!1;b=c}!0===b.verticesNeedUpdate&&(c=this.attributes.position,void 0!==c&&(c.copyVector3sArray(b.vertices),c.needsUpdate=!0),b.verticesNeedUpdate=!1);!0===b.normalsNeedUpdate&&(c=this.attributes.normal,void 0!==c&&(c.copyVector3sArray(b.normals),c.needsUpdate=!0),b.normalsNeedUpdate=!1);!0===b.colorsNeedUpdate&&(c=this.attributes.color,void 0!==c&&(c.copyColorsArray(b.colors),c.needsUpdate=!0),b.colorsNeedUpdate=!1);b.uvsNeedUpdate&&(c=this.attributes.uv,void 0!==\n",
       "c&&(c.copyVector2sArray(b.uvs),c.needsUpdate=!0),b.uvsNeedUpdate=!1);b.lineDistancesNeedUpdate&&(c=this.attributes.lineDistance,void 0!==c&&(c.copyArray(b.lineDistances),c.needsUpdate=!0),b.lineDistancesNeedUpdate=!1);b.groupsNeedUpdate&&(b.computeGroups(a.geometry),this.groups=b.groups,b.groupsNeedUpdate=!1);return this},fromGeometry:function(a){a.__directGeometry=(new xh).fromGeometry(a);return this.fromDirectGeometry(a.__directGeometry)},fromDirectGeometry:function(a){var b=new Float32Array(3*\n",
       "a.vertices.length);this.setAttribute(&quot;position&quot;,(new M(b,3)).copyVector3sArray(a.vertices));0<a.normals.length&&(b=new Float32Array(3*a.normals.length),this.setAttribute(&quot;normal&quot;,(new M(b,3)).copyVector3sArray(a.normals)));0<a.colors.length&&(b=new Float32Array(3*a.colors.length),this.setAttribute(&quot;color&quot;,(new M(b,3)).copyColorsArray(a.colors)));0<a.uvs.length&&(b=new Float32Array(2*a.uvs.length),this.setAttribute(&quot;uv&quot;,(new M(b,2)).copyVector2sArray(a.uvs)));0<a.uvs2.length&&(b=new Float32Array(2*\n",
       "a.uvs2.length),this.setAttribute(&quot;uv2&quot;,(new M(b,2)).copyVector2sArray(a.uvs2)));this.groups=a.groups;for(var c in a.morphTargets){b=[];for(var d=a.morphTargets[c],e=0,f=d.length;e<f;e++){var g=d[e],h=new y(3*g.data.length,3);h.name=g.name;b.push(h.copyVector3sArray(g.data))}this.morphAttributes[c]=b}0<a.skinIndices.length&&(c=new y(4*a.skinIndices.length,4),this.setAttribute(&quot;skinIndex&quot;,c.copyVector4sArray(a.skinIndices)));0<a.skinWeights.length&&(c=new y(4*a.skinWeights.length,4),this.setAttribute(&quot;skinWeight&quot;,\n",
       "c.copyVector4sArray(a.skinWeights)));null!==a.boundingSphere&&(this.boundingSphere=a.boundingSphere.clone());null!==a.boundingBox&&(this.boundingBox=a.boundingBox.clone());return this},computeBoundingBox:function(){null===this.boundingBox&&(this.boundingBox=new Sa);var a=this.attributes.position,b=this.morphAttributes.position;if(void 0!==a){if(this.boundingBox.setFromBufferAttribute(a),b){a=0;for(var c=b.length;a<c;a++)Na.setFromBufferAttribute(b[a]),this.morphTargetsRelative?(ea.addVectors(this.boundingBox.min,\n",
       "Na.min),this.boundingBox.expandByPoint(ea),ea.addVectors(this.boundingBox.max,Na.max),this.boundingBox.expandByPoint(ea)):(this.boundingBox.expandByPoint(Na.min),this.boundingBox.expandByPoint(Na.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 &quot;position&quot; attribute is likely to have NaN values.',this)},computeBoundingSphere:function(){null===\n",
       "this.boundingSphere&&(this.boundingSphere=new pb);var a=this.attributes.position,b=this.morphAttributes.position;if(a){var c=this.boundingSphere.center;Na.setFromBufferAttribute(a);if(b)for(var d=0,e=b.length;d<e;d++){var f=b[d];Be.setFromBufferAttribute(f);this.morphTargetsRelative?(ea.addVectors(Na.min,Be.min),Na.expandByPoint(ea),ea.addVectors(Na.max,Be.max),Na.expandByPoint(ea)):(Na.expandByPoint(Be.min),Na.expandByPoint(Be.max))}Na.getCenter(c);var g=0;d=0;for(e=a.count;d<e;d++)ea.fromBufferAttribute(a,\n",
       "d),g=Math.max(g,c.distanceToSquared(ea));if(b)for(d=0,e=b.length;d<e;d++){f=b[d];for(var h=this.morphTargetsRelative,l=0,m=f.count;l<m;l++)ea.fromBufferAttribute(f,l),h&&(vd.fromBufferAttribute(a,l),ea.add(vd)),g=Math.max(g,c.distanceToSquared(ea))}this.boundingSphere.radius=Math.sqrt(g);isNaN(this.boundingSphere.radius)&&console.error('THREE.BufferGeometry.computeBoundingSphere(): Computed radius is NaN. The &quot;position&quot; attribute is likely to have NaN values.',this)}},computeFaceNormals:function(){},\n",
       "computeVertexNormals:function(){var a=this.index,b=this.attributes;if(b.position){var c=b.position.array;if(void 0===b.normal)this.setAttribute(&quot;normal&quot;,new M(new Float32Array(c.length),3));else for(var d=b.normal.array,e=0,f=d.length;e<f;e++)d[e]=0;d=b.normal.array;var g=new n,h=new n,l=new n,m=new n,k=new n;if(a){var p=a.array;e=0;for(f=a.count;e<f;e+=3){a=3*p[e+0];var x=3*p[e+1];var r=3*p[e+2];g.fromArray(c,a);h.fromArray(c,x);l.fromArray(c,r);m.subVectors(l,h);k.subVectors(g,h);m.cross(k);d[a]+=\n",
       "m.x;d[a+1]+=m.y;d[a+2]+=m.z;d[x]+=m.x;d[x+1]+=m.y;d[x+2]+=m.z;d[r]+=m.x;d[r+1]+=m.y;d[r+2]+=m.z}}else for(e=0,f=c.length;e<f;e+=9)g.fromArray(c,e),h.fromArray(c,e+3),l.fromArray(c,e+6),m.subVectors(l,h),k.subVectors(g,h),m.cross(k),d[e]=m.x,d[e+1]=m.y,d[e+2]=m.z,d[e+3]=m.x,d[e+4]=m.y,d[e+5]=m.z,d[e+6]=m.x,d[e+7]=m.y,d[e+8]=m.z;this.normalizeNormals();b.normal.needsUpdate=!0}},merge:function(a,b){if(a&&a.isBufferGeometry){void 0===b&&(b=0,console.warn(&quot;THREE.BufferGeometry.merge(): Overwriting original geometry, starting at offset=0. Use BufferGeometryUtils.mergeBufferGeometries() for lossless merge.&quot;));\n",
       "var c=this.attributes,d;for(d in c)if(void 0!==a.attributes[d]){var e=c[d].array,f=a.attributes[d],g=f.array,h=f.itemSize*b;f=Math.min(g.length,e.length-h);for(var l=0;l<f;l++,h++)e[h]=g[l]}return this}console.error(&quot;THREE.BufferGeometry.merge(): geometry not an instance of THREE.BufferGeometry.&quot;,a)},normalizeNormals:function(){for(var a=this.attributes.normal,b=0,c=a.count;b<c;b++)ea.x=a.getX(b),ea.y=a.getY(b),ea.z=a.getZ(b),ea.normalize(),a.setXYZ(b,ea.x,ea.y,ea.z)},toNonIndexed:function(){function a(a,\n",
       "b){var c=a.array;a=a.itemSize;for(var d=new c.constructor(b.length*a),e,f=0,g=0,h=b.length;g<h;g++){e=b[g]*a;for(var l=0;l<a;l++)d[f++]=c[e++]}return new M(d,a)}if(null===this.index)return console.warn(&quot;THREE.BufferGeometry.toNonIndexed(): Geometry is already non-indexed.&quot;),this;var b=new C,c=this.index.array,d=this.attributes,e;for(e in d){var f=d[e];f=a(f,c);b.setAttribute(e,f)}var g=this.morphAttributes;for(e in g){var h=[],l=g[e];d=0;for(var m=l.length;d<m;d++)f=l[d],f=a(f,c),h.push(f);b.morphAttributes[e]=\n",
       "h}b.morphTargetsRelative=this.morphTargetsRelative;c=this.groups;d=0;for(e=c.length;d<e;d++)f=c[d],b.addGroup(f.start,f.count,f.materialIndex);return b},toJSON:function(){var a={metadata:{version:4.5,type:&quot;BufferGeometry&quot;,generator:&quot;BufferGeometry.toJSON&quot;}};a.uuid=this.uuid;a.type=this.type;&quot;&quot;!==this.name&&(a.name=this.name);0<Object.keys(this.userData).length&&(a.userData=this.userData);if(void 0!==this.parameters){var b=this.parameters;for(m in b)void 0!==b[m]&&(a[m]=b[m]);return a}a.data={attributes:{}};\n",
       "b=this.index;null!==b&&(a.data.index={type:b.array.constructor.name,array:Array.prototype.slice.call(b.array)});var c=this.attributes;for(m in c){b=c[m];var d=b.toJSON();&quot;&quot;!==b.name&&(d.name=b.name);a.data.attributes[m]=d}c={};var e=!1;for(m in this.morphAttributes){for(var f=this.morphAttributes[m],g=[],h=0,l=f.length;h<l;h++)b=f[h],d=b.toJSON(),&quot;&quot;!==b.name&&(d.name=b.name),g.push(d);0<g.length&&(c[m]=g,e=!0)}e&&(a.data.morphAttributes=c,a.data.morphTargetsRelative=this.morphTargetsRelative);var m=\n",
       "this.groups;0<m.length&&(a.data.groups=JSON.parse(JSON.stringify(m)));m=this.boundingSphere;null!==m&&(a.data.boundingSphere={center:m.center.toArray(),radius:m.radius});return a},clone:function(){return(new C).copy(this)},copy:function(a){var b;this.index=null;this.attributes={};this.morphAttributes={};this.groups=[];this.boundingSphere=this.boundingBox=null;this.name=a.name;var c=a.index;null!==c&&this.setIndex(c.clone());c=a.attributes;for(g in c)this.setAttribute(g,c[g].clone());var d=a.morphAttributes;\n",
       "for(g in d){var e=[],f=d[g];c=0;for(b=f.length;c<b;c++)e.push(f[c].clone());this.morphAttributes[g]=e}this.morphTargetsRelative=a.morphTargetsRelative;var g=a.groups;c=0;for(b=g.length;c<b;c++)d=g[c],this.addGroup(d.start,d.count,d.materialIndex);g=a.boundingBox;null!==g&&(this.boundingBox=g.clone());g=a.boundingSphere;null!==g&&(this.boundingSphere=g.clone());this.drawRange.start=a.drawRange.start;this.drawRange.count=a.drawRange.count;this.userData=a.userData;return this},dispose:function(){this.dispatchEvent({type:&quot;dispose&quot;})}});\n",
       "var Qi=new P,tc=new Vb,lh=new pb,Yb=new n,Zb=new n,$b=new n,dg=new n,eg=new n,fg=new n,Ke=new n,Le=new n,Me=new n,Cc=new t,Dc=new t,Ec=new t,Hd=new n,Ie=new n;S.prototype=Object.assign(Object.create(F.prototype),{constructor:S,isMesh:!0,copy:function(a){F.prototype.copy.call(this,a);void 0!==a.morphTargetInfluences&&(this.morphTargetInfluences=a.morphTargetInfluences.slice());void 0!==a.morphTargetDictionary&&(this.morphTargetDictionary=Object.assign({},a.morphTargetDictionary));return this},updateMorphTargets:function(){var a=\n",
       "this.geometry;if(a.isBufferGeometry){a=a.morphAttributes;var b=Object.keys(a);if(0<b.length){var c=a[b[0]];if(void 0!==c)for(this.morphTargetInfluences=[],this.morphTargetDictionary={},a=0,b=c.length;a<b;a++){var d=c[a].name||String(a);this.morphTargetInfluences.push(0);this.morphTargetDictionary[d]=a}}}else a=a.morphTargets,void 0!==a&&0<a.length&&console.error(&quot;THREE.Mesh.updateMorphTargets() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.&quot;)},raycast:function(a,b){var c=this.geometry,\n",
       "d=this.material,e=this.matrixWorld;if(void 0!==d&&(null===c.boundingSphere&&c.computeBoundingSphere(),lh.copy(c.boundingSphere),lh.applyMatrix4(e),!1!==a.ray.intersectsSphere(lh)&&(Qi.getInverse(e),tc.copy(a.ray).applyMatrix4(Qi),null===c.boundingBox||!1!==tc.intersectsBox(c.boundingBox))))if(c.isBufferGeometry){var f=c.index;e=c.attributes.position;var g=c.morphAttributes.position,h=c.morphTargetsRelative,l=c.attributes.uv,m=c.attributes.uv2,k=c.groups,p=c.drawRange,n,r;if(null!==f)if(Array.isArray(d)){var q=\n",
       "0;for(n=k.length;q<n;q++){var v=k[q];var E=d[v.materialIndex];var w=Math.max(v.start,p.start);for(r=c=Math.min(v.start+v.count,p.start+p.count);w<r;w+=3){c=f.getX(w);var z=f.getX(w+1);var y=f.getX(w+2);if(c=Je(this,E,a,tc,e,g,h,l,m,c,z,y))c.faceIndex=Math.floor(w/3),c.face.materialIndex=v.materialIndex,b.push(c)}}}else for(w=Math.max(0,p.start),c=Math.min(f.count,p.start+p.count),q=w,n=c;q<n;q+=3){if(c=f.getX(q),z=f.getX(q+1),y=f.getX(q+2),c=Je(this,d,a,tc,e,g,h,l,m,c,z,y))c.faceIndex=Math.floor(q/\n",
       "3),b.push(c)}else if(void 0!==e)if(Array.isArray(d))for(q=0,n=k.length;q<n;q++)for(v=k[q],E=d[v.materialIndex],w=Math.max(v.start,p.start),r=c=Math.min(v.start+v.count,p.start+p.count);w<r;w+=3){if(c=w,z=w+1,y=w+2,c=Je(this,E,a,tc,e,g,h,l,m,c,z,y))c.faceIndex=Math.floor(w/3),c.face.materialIndex=v.materialIndex,b.push(c)}else for(w=Math.max(0,p.start),c=Math.min(e.count,p.start+p.count),q=w,n=c;q<n;q+=3)if(c=q,z=q+1,y=q+2,c=Je(this,d,a,tc,e,g,h,l,m,c,z,y))c.faceIndex=Math.floor(q/3),b.push(c)}else if(c.isGeometry)for(e=\n",
       "Array.isArray(d),g=c.vertices,h=c.faces,c=c.faceVertexUvs[0],0<c.length&&(f=c),p=0,q=h.length;p<q;p++)if(n=h[p],c=e?d[n.materialIndex]:d,void 0!==c&&(l=g[n.a],m=g[n.b],k=g[n.c],c=zh(this,c,a,tc,l,m,k,Hd)))f&&f[p]&&(v=f[p],Cc.copy(v[0]),Dc.copy(v[1]),Ec.copy(v[2]),c.uv=oa.getUV(Hd,l,m,k,Cc,Dc,Ec,new t)),c.face=n,c.faceIndex=p,b.push(c)},clone:function(){return(new this.constructor(this.geometry,this.material)).copy(this)}});var tj=0,nb=new P,mh=new F,Kf=new n;N.prototype=Object.assign(Object.create(Ea.prototype),\n",
       "{constructor:N,isGeometry:!0,applyMatrix4:function(a){for(var b=(new wa).getNormalMatrix(a),c=0,d=this.vertices.length;c<d;c++)this.vertices[c].applyMatrix4(a);c=0;for(d=this.faces.length;c<d;c++){a=this.faces[c];a.normal.applyMatrix3(b).normalize();for(var e=0,f=a.vertexNormals.length;e<f;e++)a.vertexNormals[e].applyMatrix3(b).normalize()}null!==this.boundingBox&&this.computeBoundingBox();null!==this.boundingSphere&&this.computeBoundingSphere();this.normalsNeedUpdate=this.verticesNeedUpdate=!0;return this},\n",
       "rotateX:function(a){nb.makeRotationX(a);this.applyMatrix4(nb);return this},rotateY:function(a){nb.makeRotationY(a);this.applyMatrix4(nb);return this},rotateZ:function(a){nb.makeRotationZ(a);this.applyMatrix4(nb);return this},translate:function(a,b,c){nb.makeTranslation(a,b,c);this.applyMatrix4(nb);return this},scale:function(a,b,c){nb.makeScale(a,b,c);this.applyMatrix4(nb);return this},lookAt:function(a){mh.lookAt(a);mh.updateMatrix();this.applyMatrix4(mh.matrix);return this},fromBufferGeometry:function(a){function b(a,\n",
       "b,d,e){var f=void 0===h?[]:[c.colors[a].clone(),c.colors[b].clone(),c.colors[d].clone()],k=void 0===g?[]:[(new n).fromArray(g,3*a),(new n).fromArray(g,3*b),(new n).fromArray(g,3*d)];e=new Bc(a,b,d,k,f,e);c.faces.push(e);void 0!==l&&c.faceVertexUvs[0].push([(new t).fromArray(l,2*a),(new t).fromArray(l,2*b),(new t).fromArray(l,2*d)]);void 0!==m&&c.faceVertexUvs[1].push([(new t).fromArray(m,2*a),(new t).fromArray(m,2*b),(new t).fromArray(m,2*d)])}var c=this,d=null!==a.index?a.index.array:void 0,e=a.attributes;\n",
       "if(void 0===e.position)return console.error(&quot;THREE.Geometry.fromBufferGeometry(): Position attribute required for conversion.&quot;),this;var f=e.position.array,g=void 0!==e.normal?e.normal.array:void 0,h=void 0!==e.color?e.color.array:void 0,l=void 0!==e.uv?e.uv.array:void 0,m=void 0!==e.uv2?e.uv2.array:void 0;void 0!==m&&(this.faceVertexUvs[1]=[]);for(e=0;e<f.length;e+=3)c.vertices.push((new n).fromArray(f,e)),void 0!==h&&c.colors.push((new A).fromArray(h,e));var k=a.groups;if(0<k.length)for(e=0;e<k.length;e++){f=\n",
       "k[e];var p=f.start,x=p;for(p+=f.count;x<p;x+=3)void 0!==d?b(d[x],d[x+1],d[x+2],f.materialIndex):b(x,x+1,x+2,f.materialIndex)}else if(void 0!==d)for(e=0;e<d.length;e+=3)b(d[e],d[e+1],d[e+2]);else for(e=0;e<f.length/3;e+=3)b(e,e+1,e+2);this.computeFaceNormals();null!==a.boundingBox&&(this.boundingBox=a.boundingBox.clone());null!==a.boundingSphere&&(this.boundingSphere=a.boundingSphere.clone());return this},center:function(){this.computeBoundingBox();this.boundingBox.getCenter(Kf).negate();this.translate(Kf.x,\n",
       "Kf.y,Kf.z);return this},normalize:function(){this.computeBoundingSphere();var a=this.boundingSphere.center,b=this.boundingSphere.radius;b=0===b?1:1/b;var c=new P;c.set(b,0,0,-b*a.x,0,b,0,-b*a.y,0,0,b,-b*a.z,0,0,0,1);this.applyMatrix4(c);return this},computeFaceNormals:function(){for(var a=new n,b=new n,c=0,d=this.faces.length;c<d;c++){var e=this.faces[c],f=this.vertices[e.a],g=this.vertices[e.b];a.subVectors(this.vertices[e.c],g);b.subVectors(f,g);a.cross(b);a.normalize();e.normal.copy(a)}},computeVertexNormals:function(a){void 0===\n",
       "a&&(a=!0);var b;var c=Array(this.vertices.length);var d=0;for(b=this.vertices.length;d<b;d++)c[d]=new n;if(a){var e=new n,f=new n;a=0;for(d=this.faces.length;a<d;a++){b=this.faces[a];var g=this.vertices[b.a];var h=this.vertices[b.b];var l=this.vertices[b.c];e.subVectors(l,h);f.subVectors(g,h);e.cross(f);c[b.a].add(e);c[b.b].add(e);c[b.c].add(e)}}else for(this.computeFaceNormals(),a=0,d=this.faces.length;a<d;a++)b=this.faces[a],c[b.a].add(b.normal),c[b.b].add(b.normal),c[b.c].add(b.normal);d=0;for(b=\n",
       "this.vertices.length;d<b;d++)c[d].normalize();a=0;for(d=this.faces.length;a<d;a++)b=this.faces[a],g=b.vertexNormals,3===g.length?(g[0].copy(c[b.a]),g[1].copy(c[b.b]),g[2].copy(c[b.c])):(g[0]=c[b.a].clone(),g[1]=c[b.b].clone(),g[2]=c[b.c].clone());0<this.faces.length&&(this.normalsNeedUpdate=!0)},computeFlatVertexNormals:function(){var a;this.computeFaceNormals();var b=0;for(a=this.faces.length;b<a;b++){var c=this.faces[b];var d=c.vertexNormals;3===d.length?(d[0].copy(c.normal),d[1].copy(c.normal),\n",
       "d[2].copy(c.normal)):(d[0]=c.normal.clone(),d[1]=c.normal.clone(),d[2]=c.normal.clone())}0<this.faces.length&&(this.normalsNeedUpdate=!0)},computeMorphNormals:function(){var a,b;var c=0;for(b=this.faces.length;c<b;c++){var d=this.faces[c];d.__originalFaceNormal?d.__originalFaceNormal.copy(d.normal):d.__originalFaceNormal=d.normal.clone();d.__originalVertexNormals||(d.__originalVertexNormals=[]);var e=0;for(a=d.vertexNormals.length;e<a;e++)d.__originalVertexNormals[e]?d.__originalVertexNormals[e].copy(d.vertexNormals[e]):\n",
       "d.__originalVertexNormals[e]=d.vertexNormals[e].clone()}var f=new N;f.faces=this.faces;e=0;for(a=this.morphTargets.length;e<a;e++){if(!this.morphNormals[e]){this.morphNormals[e]={};this.morphNormals[e].faceNormals=[];this.morphNormals[e].vertexNormals=[];d=this.morphNormals[e].faceNormals;var g=this.morphNormals[e].vertexNormals;c=0;for(b=this.faces.length;c<b;c++){var h=new n;var l={a:new n,b:new n,c:new n};d.push(h);g.push(l)}}g=this.morphNormals[e];f.vertices=this.morphTargets[e].vertices;f.computeFaceNormals();\n",
       "f.computeVertexNormals();c=0;for(b=this.faces.length;c<b;c++)d=this.faces[c],h=g.faceNormals[c],l=g.vertexNormals[c],h.copy(d.normal),l.a.copy(d.vertexNormals[0]),l.b.copy(d.vertexNormals[1]),l.c.copy(d.vertexNormals[2])}c=0;for(b=this.faces.length;c<b;c++)d=this.faces[c],d.normal=d.__originalFaceNormal,d.vertexNormals=d.__originalVertexNormals},computeBoundingBox:function(){null===this.boundingBox&&(this.boundingBox=new Sa);this.boundingBox.setFromPoints(this.vertices)},computeBoundingSphere:function(){null===\n",
       "this.boundingSphere&&(this.boundingSphere=new pb);this.boundingSphere.setFromPoints(this.vertices)},merge:function(a,b,c){if(a&&a.isGeometry){var d,e=this.vertices.length,f=this.vertices,g=a.vertices,h=this.faces,l=a.faces,m=this.colors,k=a.colors;void 0===c&&(c=0);void 0!==b&&(d=(new wa).getNormalMatrix(b));for(var p=0,n=g.length;p<n;p++){var r=g[p].clone();void 0!==b&&r.applyMatrix4(b);f.push(r)}p=0;for(n=k.length;p<n;p++)m.push(k[p].clone());p=0;for(n=l.length;p<n;p++){g=l[p];var q=g.vertexNormals;\n",
       "k=g.vertexColors;m=new Bc(g.a+e,g.b+e,g.c+e);m.normal.copy(g.normal);void 0!==d&&m.normal.applyMatrix3(d).normalize();b=0;for(f=q.length;b<f;b++)r=q[b].clone(),void 0!==d&&r.applyMatrix3(d).normalize(),m.vertexNormals.push(r);m.color.copy(g.color);b=0;for(f=k.length;b<f;b++)r=k[b],m.vertexColors.push(r.clone());m.materialIndex=g.materialIndex+c;h.push(m)}p=0;for(n=a.faceVertexUvs.length;p<n;p++)for(c=a.faceVertexUvs[p],void 0===this.faceVertexUvs[p]&&(this.faceVertexUvs[p]=[]),b=0,f=c.length;b<f;b++){d=\n",
       "c[b];e=[];h=0;for(l=d.length;h<l;h++)e.push(d[h].clone());this.faceVertexUvs[p].push(e)}}else console.error(&quot;THREE.Geometry.merge(): geometry not an instance of THREE.Geometry.&quot;,a)},mergeMesh:function(a){a&&a.isMesh?(a.matrixAutoUpdate&&a.updateMatrix(),this.merge(a.geometry,a.matrix)):console.error(&quot;THREE.Geometry.mergeMesh(): mesh not an instance of THREE.Mesh.&quot;,a)},mergeVertices:function(){var a={},b=[],c=[],d=Math.pow(10,4),e;var f=0;for(e=this.vertices.length;f<e;f++){var g=this.vertices[f];\n",
       "g=Math.round(g.x*d)+&quot;_&quot;+Math.round(g.y*d)+&quot;_&quot;+Math.round(g.z*d);void 0===a[g]?(a[g]=f,b.push(this.vertices[f]),c[f]=b.length-1):c[f]=c[a[g]]}a=[];f=0;for(e=this.faces.length;f<e;f++)for(d=this.faces[f],d.a=c[d.a],d.b=c[d.b],d.c=c[d.c],d=[d.a,d.b,d.c],g=0;3>g;g++)if(d[g]===d[(g+1)%3]){a.push(f);break}for(f=a.length-1;0<=f;f--)for(d=a[f],this.faces.splice(d,1),c=0,e=this.faceVertexUvs.length;c<e;c++)this.faceVertexUvs[c].splice(d,1);f=this.vertices.length-b.length;this.vertices=b;return f},setFromPoints:function(a){this.vertices=\n",
       "[];for(var b=0,c=a.length;b<c;b++){var d=a[b];this.vertices.push(new n(d.x,d.y,d.z||0))}return this},sortFacesByMaterialIndex:function(){for(var a=this.faces,b=a.length,c=0;c<b;c++)a[c]._id=c;a.sort(function(a,b){return a.materialIndex-b.materialIndex});var d=this.faceVertexUvs[0],e=this.faceVertexUvs[1],f,g;d&&d.length===b&&(f=[]);e&&e.length===b&&(g=[]);for(c=0;c<b;c++){var h=a[c]._id;f&&f.push(d[h]);g&&g.push(e[h])}f&&(this.faceVertexUvs[0]=f);g&&(this.faceVertexUvs[1]=g)},toJSON:function(){function a(a,\n",
       "b,c){return c?a|1<<b:a&~(1<<b)}function b(a){var b=a.x.toString()+a.y.toString()+a.z.toString();if(void 0!==m[b])return m[b];m[b]=l.length/3;l.push(a.x,a.y,a.z);return m[b]}function c(a){var b=a.r.toString()+a.g.toString()+a.b.toString();if(void 0!==p[b])return p[b];p[b]=k.length;k.push(a.getHex());return p[b]}function d(a){var b=a.x.toString()+a.y.toString();if(void 0!==r[b])return r[b];r[b]=n.length/2;n.push(a.x,a.y);return r[b]}var e={metadata:{version:4.5,type:&quot;Geometry&quot;,generator:&quot;Geometry.toJSON&quot;}};\n",
       "e.uuid=this.uuid;e.type=this.type;&quot;&quot;!==this.name&&(e.name=this.name);if(void 0!==this.parameters){var f=this.parameters,g;for(g in f)void 0!==f[g]&&(e[g]=f[g]);return e}f=[];for(g=0;g<this.vertices.length;g++){var h=this.vertices[g];f.push(h.x,h.y,h.z)}h=[];var l=[],m={},k=[],p={},n=[],r={};for(g=0;g<this.faces.length;g++){var q=this.faces[g],v=void 0!==this.faceVertexUvs[0][g],t=0<q.normal.length(),w=0<q.vertexNormals.length,z=1!==q.color.r||1!==q.color.g||1!==q.color.b,y=0<q.vertexColors.length,\n",
       "A=0;A=a(A,0,0);A=a(A,1,!0);A=a(A,2,!1);A=a(A,3,v);A=a(A,4,t);A=a(A,5,w);A=a(A,6,z);A=a(A,7,y);h.push(A);h.push(q.a,q.b,q.c);h.push(q.materialIndex);v&&(v=this.faceVertexUvs[0][g],h.push(d(v[0]),d(v[1]),d(v[2])));t&&h.push(b(q.normal));w&&(t=q.vertexNormals,h.push(b(t[0]),b(t[1]),b(t[2])));z&&h.push(c(q.color));y&&(q=q.vertexColors,h.push(c(q[0]),c(q[1]),c(q[2])))}e.data={};e.data.vertices=f;e.data.normals=l;0<k.length&&(e.data.colors=k);0<n.length&&(e.data.uvs=[n]);e.data.faces=h;return e},clone:function(){return(new N).copy(this)},\n",
       "copy:function(a){var b,c,d;this.vertices=[];this.colors=[];this.faces=[];this.faceVertexUvs=[[]];this.morphTargets=[];this.morphNormals=[];this.skinWeights=[];this.skinIndices=[];this.lineDistances=[];this.boundingSphere=this.boundingBox=null;this.name=a.name;var e=a.vertices;var f=0;for(b=e.length;f<b;f++)this.vertices.push(e[f].clone());e=a.colors;f=0;for(b=e.length;f<b;f++)this.colors.push(e[f].clone());e=a.faces;f=0;for(b=e.length;f<b;f++)this.faces.push(e[f].clone());f=0;for(b=a.faceVertexUvs.length;f<\n",
       "b;f++){var g=a.faceVertexUvs[f];void 0===this.faceVertexUvs[f]&&(this.faceVertexUvs[f]=[]);e=0;for(c=g.length;e<c;e++){var h=g[e],l=[];var m=0;for(d=h.length;m<d;m++)l.push(h[m].clone());this.faceVertexUvs[f].push(l)}}m=a.morphTargets;f=0;for(b=m.length;f<b;f++){d={};d.name=m[f].name;if(void 0!==m[f].vertices)for(d.vertices=[],e=0,c=m[f].vertices.length;e<c;e++)d.vertices.push(m[f].vertices[e].clone());if(void 0!==m[f].normals)for(d.normals=[],e=0,c=m[f].normals.length;e<c;e++)d.normals.push(m[f].normals[e].clone());\n",
       "this.morphTargets.push(d)}m=a.morphNormals;f=0;for(b=m.length;f<b;f++){d={};if(void 0!==m[f].vertexNormals)for(d.vertexNormals=[],e=0,c=m[f].vertexNormals.length;e<c;e++)g=m[f].vertexNormals[e],h={},h.a=g.a.clone(),h.b=g.b.clone(),h.c=g.c.clone(),d.vertexNormals.push(h);if(void 0!==m[f].faceNormals)for(d.faceNormals=[],e=0,c=m[f].faceNormals.length;e<c;e++)d.faceNormals.push(m[f].faceNormals[e].clone());this.morphNormals.push(d)}e=a.skinWeights;f=0;for(b=e.length;f<b;f++)this.skinWeights.push(e[f].clone());\n",
       "e=a.skinIndices;f=0;for(b=e.length;f<b;f++)this.skinIndices.push(e[f].clone());e=a.lineDistances;f=0;for(b=e.length;f<b;f++)this.lineDistances.push(e[f]);f=a.boundingBox;null!==f&&(this.boundingBox=f.clone());f=a.boundingSphere;null!==f&&(this.boundingSphere=f.clone());this.elementsNeedUpdate=a.elementsNeedUpdate;this.verticesNeedUpdate=a.verticesNeedUpdate;this.uvsNeedUpdate=a.uvsNeedUpdate;this.normalsNeedUpdate=a.normalsNeedUpdate;this.colorsNeedUpdate=a.colorsNeedUpdate;this.lineDistancesNeedUpdate=\n",
       "a.lineDistancesNeedUpdate;this.groupsNeedUpdate=a.groupsNeedUpdate;return this},dispose:function(){this.dispatchEvent({type:&quot;dispose&quot;})}});var nh=function(a){function b(b,d,e,f,g,h){a.call(this);this.type=&quot;BoxGeometry&quot;;this.parameters={width:b,height:d,depth:e,widthSegments:f,heightSegments:g,depthSegments:h};this.fromBufferGeometry(new Jd(b,d,e,f,g,h));this.mergeVertices()}a&&(b.__proto__=a);b.prototype=Object.create(a&&a.prototype);return b.prototype.constructor=b}(N),Jd=function(a){function b(b,\n",
       "d,e,f,g,h){function c(a,b,c,d,e,f,g,h,l,u,t){var w=f/l,z=g/u,y=f/2,E=g/2,B=h/2;g=l+1;var A=u+1,C=f=0,D,F,G=new n;for(F=0;F<A;F++){var K=F*z-E;for(D=0;D<g;D++)G[a]=(D*w-y)*d,G[b]=K*e,G[c]=B,p.push(G.x,G.y,G.z),G[a]=0,G[b]=0,G[c]=0<h?1:-1,x.push(G.x,G.y,G.z),r.push(D/l),r.push(1-F/u),f+=1}for(F=0;F<u;F++)for(D=0;D<l;D++)a=q+D+g*(F+1),b=q+(D+1)+g*(F+1),c=q+(D+1)+g*F,k.push(q+D+g*F,a,c),k.push(a,b,c),C+=6;m.addGroup(v,C,t);v+=C;q+=f}a.call(this);this.type=&quot;BoxBufferGeometry&quot;;this.parameters={width:b,\n",
       "height:d,depth:e,widthSegments:f,heightSegments:g,depthSegments:h};var m=this;b=b||1;d=d||1;e=e||1;f=Math.floor(f)||1;g=Math.floor(g)||1;h=Math.floor(h)||1;var k=[],p=[],x=[],r=[],q=0,v=0;c(&quot;z&quot;,&quot;y&quot;,&quot;x&quot;,-1,-1,e,d,b,h,g,0);c(&quot;z&quot;,&quot;y&quot;,&quot;x&quot;,1,-1,e,d,-b,h,g,1);c(&quot;x&quot;,&quot;z&quot;,&quot;y&quot;,1,1,b,e,d,f,h,2);c(&quot;x&quot;,&quot;z&quot;,&quot;y&quot;,1,-1,b,e,-d,f,h,3);c(&quot;x&quot;,&quot;y&quot;,&quot;z&quot;,1,-1,b,d,e,f,g,4);c(&quot;x&quot;,&quot;y&quot;,&quot;z&quot;,-1,-1,b,d,-e,f,g,5);this.setIndex(k);this.setAttribute(&quot;position&quot;,new y(p,3));this.setAttribute(&quot;normal&quot;,new y(x,3));this.setAttribute(&quot;uv&quot;,\n",
       "new y(r,2))}a&&(b.__proto__=a);b.prototype=Object.create(a&&a.prototype);return b.prototype.constructor=b}(C),Uh={clone:Fc,merge:va};Ba.prototype=Object.create(K.prototype);Ba.prototype.constructor=Ba;Ba.prototype.isShaderMaterial=!0;Ba.prototype.copy=function(a){K.prototype.copy.call(this,a);this.fragmentShader=a.fragmentShader;this.vertexShader=a.vertexShader;this.uniforms=Fc(a.uniforms);this.defines=Object.assign({},a.defines);this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;\n",
       "this.lights=a.lights;this.clipping=a.clipping;this.skinning=a.skinning;this.morphTargets=a.morphTargets;this.morphNormals=a.morphNormals;this.extensions=a.extensions;return this};Ba.prototype.toJSON=function(a){var b=K.prototype.toJSON.call(this,a);b.uniforms={};for(var c in this.uniforms){var d=this.uniforms[c].value;b.uniforms[c]=d&&d.isTexture?{type:&quot;t&quot;,value:d.toJSON(a).uuid}:d&&d.isColor?{type:&quot;c&quot;,value:d.getHex()}:d&&d.isVector2?{type:&quot;v2&quot;,value:d.toArray()}:d&&d.isVector3?{type:&quot;v3&quot;,value:d.toArray()}:\n",
       "d&&d.isVector4?{type:&quot;v4&quot;,value:d.toArray()}:d&&d.isMatrix3?{type:&quot;m3&quot;,value:d.toArray()}:d&&d.isMatrix4?{type:&quot;m4&quot;,value:d.toArray()}:{value:d}}0<Object.keys(this.defines).length&&(b.defines=this.defines);b.vertexShader=this.vertexShader;b.fragmentShader=this.fragmentShader;a={};for(var e in this.extensions)!0===this.extensions[e]&&(a[e]=!0);0<Object.keys(a).length&&(b.extensions=a);return b};db.prototype=Object.assign(Object.create(F.prototype),{constructor:db,isCamera:!0,copy:function(a,b){F.prototype.copy.call(this,\n",
       "a,b);this.matrixWorldInverse.copy(a.matrixWorldInverse);this.projectionMatrix.copy(a.projectionMatrix);this.projectionMatrixInverse.copy(a.projectionMatrixInverse);return this},getWorldDirection:function(a){void 0===a&&(console.warn(&quot;THREE.Camera: .getWorldDirection() target is now required&quot;),a=new n);this.updateMatrixWorld(!0);var b=this.matrixWorld.elements;return a.set(-b[8],-b[9],-b[10]).normalize()},updateMatrixWorld:function(a){F.prototype.updateMatrixWorld.call(this,a);this.matrixWorldInverse.getInverse(this.matrixWorld)},\n",
       "updateWorldMatrix:function(a,b){F.prototype.updateWorldMatrix.call(this,a,b);this.matrixWorldInverse.getInverse(this.matrixWorld)},clone:function(){return(new this.constructor).copy(this)}});aa.prototype=Object.assign(Object.create(db.prototype),{constructor:aa,isPerspectiveCamera:!0,copy:function(a,b){db.prototype.copy.call(this,a,b);this.fov=a.fov;this.zoom=a.zoom;this.near=a.near;this.far=a.far;this.focus=a.focus;this.aspect=a.aspect;this.view=null===a.view?null:Object.assign({},a.view);this.filmGauge=\n",
       "a.filmGauge;this.filmOffset=a.filmOffset;return this},setFocalLength:function(a){a=.5*this.getFilmHeight()/a;this.fov=2*L.RAD2DEG*Math.atan(a);this.updateProjectionMatrix()},getFocalLength:function(){var a=Math.tan(.5*L.DEG2RAD*this.fov);return.5*this.getFilmHeight()/a},getEffectiveFOV:function(){return 2*L.RAD2DEG*Math.atan(Math.tan(.5*L.DEG2RAD*this.fov)/this.zoom)},getFilmWidth:function(){return this.filmGauge*Math.min(this.aspect,1)},getFilmHeight:function(){return this.filmGauge/Math.max(this.aspect,\n",
       "1)},setViewOffset:function(a,b,c,d,e,f){this.aspect=a/b;null===this.view&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1});this.view.enabled=!0;this.view.fullWidth=a;this.view.fullHeight=b;this.view.offsetX=c;this.view.offsetY=d;this.view.width=e;this.view.height=f;this.updateProjectionMatrix()},clearViewOffset:function(){null!==this.view&&(this.view.enabled=!1);this.updateProjectionMatrix()},updateProjectionMatrix:function(){var a=this.near,b=a*Math.tan(.5*L.DEG2RAD*\n",
       "this.fov)/this.zoom,c=2*b,d=this.aspect*c,e=-.5*d,f=this.view;if(null!==this.view&&this.view.enabled){var g=f.fullWidth,h=f.fullHeight;e+=f.offsetX*d/g;b-=f.offsetY*c/h;d*=f.width/g;c*=f.height/h}f=this.filmOffset;0!==f&&(e+=a*f/this.getFilmWidth());this.projectionMatrix.makePerspective(e,e+d,b,b-c,a,this.far);this.projectionMatrixInverse.getInverse(this.projectionMatrix)},toJSON:function(a){a=F.prototype.toJSON.call(this,a);a.object.fov=this.fov;a.object.zoom=this.zoom;a.object.near=this.near;a.object.far=\n",
       "this.far;a.object.focus=this.focus;a.object.aspect=this.aspect;null!==this.view&&(a.object.view=Object.assign({},this.view));a.object.filmGauge=this.filmGauge;a.object.filmOffset=this.filmOffset;return a}});Gc.prototype=Object.create(F.prototype);Gc.prototype.constructor=Gc;Db.prototype=Object.create(Ha.prototype);Db.prototype.constructor=Db;Db.prototype.isWebGLCubeRenderTarget=!0;Db.prototype.fromEquirectangularTexture=function(a,b){this.texture.type=b.type;this.texture.format=b.format;this.texture.encoding=\n",
       "b.encoding;var c=new ob,d=new Ba({type:&quot;CubemapFromEquirect&quot;,uniforms:Fc({tEquirect:{value:null}}),vertexShader:&quot;varying vec3 vWorldDirection;\\nvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\\n\\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\\n}\\nvoid main() {\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\t#include <begin_vertex>\\n\\t#include <project_vertex>\\n}&quot;,fragmentShader:&quot;uniform sampler2D tEquirect;\\nvarying vec3 vWorldDirection;\\n#define RECIPROCAL_PI 0.31830988618\\n#define RECIPROCAL_PI2 0.15915494\\nvoid main() {\\n\\tvec3 direction = normalize( vWorldDirection );\\n\\tvec2 sampleUV;\\n\\tsampleUV.y = asin( clamp( direction.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\\n\\tsampleUV.x = atan( direction.z, direction.x ) * RECIPROCAL_PI2 + 0.5;\\n\\tgl_FragColor = texture2D( tEquirect, sampleUV );\\n}&quot;,\n",
       "side:1,blending:0});d.uniforms.tEquirect.value=b;b=new S(new Jd(5,5,5),d);c.add(b);d=new Gc(1,10,1);d.renderTarget=this;d.renderTarget.texture.name=&quot;CubeCameraTexture&quot;;d.update(a,c);b.geometry.dispose();b.material.dispose();return this};ac.prototype=Object.create(V.prototype);ac.prototype.constructor=ac;ac.prototype.isDataTexture=!0;var wd=new pb,Lf=new n;Object.assign(Hc.prototype,{set:function(a,b,c,d,e,f){var g=this.planes;g[0].copy(a);g[1].copy(b);g[2].copy(c);g[3].copy(d);g[4].copy(e);g[5].copy(f);\n",
       "return this},clone:function(){return(new this.constructor).copy(this)},copy:function(a){for(var b=this.planes,c=0;6>c;c++)b[c].copy(a.planes[c]);return this},setFromProjectionMatrix:function(a){var b=this.planes,c=a.elements;a=c[0];var d=c[1],e=c[2],f=c[3],g=c[4],h=c[5],l=c[6],m=c[7],k=c[8],p=c[9],n=c[10],r=c[11],q=c[12],v=c[13],t=c[14];c=c[15];b[0].setComponents(f-a,m-g,r-k,c-q).normalize();b[1].setComponents(f+a,m+g,r+k,c+q).normalize();b[2].setComponents(f+d,m+h,r+p,c+v).normalize();b[3].setComponents(f-\n",
       "d,m-h,r-p,c-v).normalize();b[4].setComponents(f-e,m-l,r-n,c-t).normalize();b[5].setComponents(f+e,m+l,r+n,c+t).normalize();return this},intersectsObject:function(a){var b=a.geometry;null===b.boundingSphere&&b.computeBoundingSphere();wd.copy(b.boundingSphere).applyMatrix4(a.matrixWorld);return this.intersectsSphere(wd)},intersectsSprite:function(a){wd.center.set(0,0,0);wd.radius=.7071067811865476;wd.applyMatrix4(a.matrixWorld);return this.intersectsSphere(wd)},intersectsSphere:function(a){var b=this.planes,\n",
       "c=a.center;a=-a.radius;for(var d=0;6>d;d++)if(b[d].distanceToPoint(c)<a)return!1;return!0},intersectsBox:function(a){for(var b=this.planes,c=0;6>c;c++){var d=b[c];Lf.x=0<d.normal.x?a.max.x:a.min.x;Lf.y=0<d.normal.y?a.max.y:a.min.y;Lf.z=0<d.normal.z?a.max.z:a.min.z;if(0>d.distanceToPoint(Lf))return!1}return!0},containsPoint:function(a){for(var b=this.planes,c=0;6>c;c++)if(0>b[c].distanceToPoint(a))return!1;return!0}});var D={common:{diffuse:{value:new A(15658734)},opacity:{value:1},map:{value:null},\n",
       "uvTransform:{value:new wa},uv2Transform:{value:new wa},alphaMap:{value:null}},specularmap:{specularMap:{value:null}},envmap:{envMap:{value:null},flipEnvMap:{value:-1},reflectivity:{value:1},refractionRatio:{value:.98},maxMipLevel:{value:0}},aomap:{aoMap:{value:null},aoMapIntensity:{value:1}},lightmap:{lightMap:{value:null},lightMapIntensity:{value:1}},emissivemap:{emissiveMap:{value:null}},bumpmap:{bumpMap:{value:null},bumpScale:{value:1}},normalmap:{normalMap:{value:null},normalScale:{value:new t(1,\n",
       "1)}},displacementmap:{displacementMap:{value:null},displacementScale:{value:1},displacementBias:{value:0}},roughnessmap:{roughnessMap:{value:null}},metalnessmap:{metalnessMap:{value:null}},gradientmap:{gradientMap:{value:null}},fog:{fogDensity:{value:2.5E-4},fogNear:{value:1},fogFar:{value:2E3},fogColor:{value:new A(16777215)}},lights:{ambientLightColor:{value:[]},lightProbe:{value:[]},directionalLights:{value:[],properties:{direction:{},color:{}}},directionalLightShadows:{value:[],properties:{shadowBias:{},\n",
       "shadowRadius:{},shadowMapSize:{}}},directionalShadowMap:{value:[]},directionalShadowMatrix:{value:[]},spotLights:{value:[],properties:{color:{},position:{},direction:{},distance:{},coneCos:{},penumbraCos:{},decay:{}}},spotLightShadows:{value:[],properties:{shadowBias:{},shadowRadius:{},shadowMapSize:{}}},spotShadowMap:{value:[]},spotShadowMatrix:{value:[]},pointLights:{value:[],properties:{color:{},position:{},decay:{},distance:{}}},pointLightShadows:{value:[],properties:{shadowBias:{},shadowRadius:{},\n",
       "shadowMapSize:{},shadowCameraNear:{},shadowCameraFar:{}}},pointShadowMap:{value:[]},pointShadowMatrix:{value:[]},hemisphereLights:{value:[],properties:{direction:{},skyColor:{},groundColor:{}}},rectAreaLights:{value:[],properties:{color:{},position:{},width:{},height:{}}}},points:{diffuse:{value:new A(15658734)},opacity:{value:1},size:{value:1},scale:{value:1},map:{value:null},alphaMap:{value:null},uvTransform:{value:new wa}},sprite:{diffuse:{value:new A(15658734)},opacity:{value:1},center:{value:new t(.5,\n",
       ".5)},rotation:{value:0},map:{value:null},alphaMap:{value:null},uvTransform:{value:new wa}}};Id.prototype=Object.create(N.prototype);Id.prototype.constructor=Id;bc.prototype=Object.create(C.prototype);bc.prototype.constructor=bc;var O={alphamap_fragment:&quot;#ifdef USE_ALPHAMAP\\n\\tdiffuseColor.a *= texture2D( alphaMap, vUv ).g;\\n#endif&quot;,alphamap_pars_fragment:&quot;#ifdef USE_ALPHAMAP\\n\\tuniform sampler2D alphaMap;\\n#endif&quot;,alphatest_fragment:&quot;#ifdef ALPHATEST\\n\\tif ( diffuseColor.a < ALPHATEST ) discard;\\n#endif&quot;,\n",
       "aomap_fragment:&quot;#ifdef USE_AOMAP\\n\\tfloat ambientOcclusion = ( texture2D( aoMap, vUv2 ).r - 1.0 ) * aoMapIntensity + 1.0;\\n\\treflectedLight.indirectDiffuse *= ambientOcclusion;\\n\\t#if defined( USE_ENVMAP ) && defined( STANDARD )\\n\\t\\tfloat dotNV = saturate( dot( geometry.normal, geometry.viewDir ) );\\n\\t\\treflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.specularRoughness );\\n\\t#endif\\n#endif&quot;,aomap_pars_fragment:&quot;#ifdef USE_AOMAP\\n\\tuniform sampler2D aoMap;\\n\\tuniform float aoMapIntensity;\\n#endif&quot;,\n",
       "begin_vertex:&quot;vec3 transformed = vec3( position );&quot;,beginnormal_vertex:&quot;vec3 objectNormal = vec3( normal );\\n#ifdef USE_TANGENT\\n\\tvec3 objectTangent = vec3( tangent.xyz );\\n#endif&quot;,bsdfs:&quot;vec2 integrateSpecularBRDF( const in float dotNV, const in float roughness ) {\\n\\tconst vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 );\\n\\tconst vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 );\\n\\tvec4 r = roughness * c0 + c1;\\n\\tfloat a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y;\\n\\treturn vec2( -1.04, 1.04 ) * a004 + r.zw;\\n}\\nfloat punctualLightIntensityToIrradianceFactor( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) {\\n#if defined ( PHYSICALLY_CORRECT_LIGHTS )\\n\\tfloat distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 );\\n\\tif( cutoffDistance > 0.0 ) {\\n\\t\\tdistanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) );\\n\\t}\\n\\treturn distanceFalloff;\\n#else\\n\\tif( cutoffDistance > 0.0 && decayExponent > 0.0 ) {\\n\\t\\treturn pow( saturate( -lightDistance / cutoffDistance + 1.0 ), decayExponent );\\n\\t}\\n\\treturn 1.0;\\n#endif\\n}\\nvec3 BRDF_Diffuse_Lambert( const in vec3 diffuseColor ) {\\n\\treturn RECIPROCAL_PI * diffuseColor;\\n}\\nvec3 F_Schlick( const in vec3 specularColor, const in float dotLH ) {\\n\\tfloat fresnel = exp2( ( -5.55473 * dotLH - 6.98316 ) * dotLH );\\n\\treturn ( 1.0 - specularColor ) * fresnel + specularColor;\\n}\\nvec3 F_Schlick_RoughnessDependent( const in vec3 F0, const in float dotNV, const in float roughness ) {\\n\\tfloat fresnel = exp2( ( -5.55473 * dotNV - 6.98316 ) * dotNV );\\n\\tvec3 Fr = max( vec3( 1.0 - roughness ), F0 ) - F0;\\n\\treturn Fr * fresnel + F0;\\n}\\nfloat G_GGX_Smith( const in float alpha, const in float dotNL, const in float dotNV ) {\\n\\tfloat a2 = pow2( alpha );\\n\\tfloat gl = dotNL + sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );\\n\\tfloat gv = dotNV + sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );\\n\\treturn 1.0 / ( gl * gv );\\n}\\nfloat G_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) {\\n\\tfloat a2 = pow2( alpha );\\n\\tfloat gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );\\n\\tfloat gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );\\n\\treturn 0.5 / max( gv + gl, EPSILON );\\n}\\nfloat D_GGX( const in float alpha, const in float dotNH ) {\\n\\tfloat a2 = pow2( alpha );\\n\\tfloat denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0;\\n\\treturn RECIPROCAL_PI * a2 / pow2( denom );\\n}\\nvec3 BRDF_Specular_GGX( const in IncidentLight incidentLight, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float roughness ) {\\n\\tfloat alpha = pow2( roughness );\\n\\tvec3 halfDir = normalize( incidentLight.direction + viewDir );\\n\\tfloat dotNL = saturate( dot( normal, incidentLight.direction ) );\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\tfloat dotLH = saturate( dot( incidentLight.direction, halfDir ) );\\n\\tvec3 F = F_Schlick( specularColor, dotLH );\\n\\tfloat G = G_GGX_SmithCorrelated( alpha, dotNL, dotNV );\\n\\tfloat D = D_GGX( alpha, dotNH );\\n\\treturn F * ( G * D );\\n}\\nvec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) {\\n\\tconst float LUT_SIZE  = 64.0;\\n\\tconst float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;\\n\\tconst float LUT_BIAS  = 0.5 / LUT_SIZE;\\n\\tfloat dotNV = saturate( dot( N, V ) );\\n\\tvec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) );\\n\\tuv = uv * LUT_SCALE + LUT_BIAS;\\n\\treturn uv;\\n}\\nfloat LTC_ClippedSphereFormFactor( const in vec3 f ) {\\n\\tfloat l = length( f );\\n\\treturn max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 );\\n}\\nvec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) {\\n\\tfloat x = dot( v1, v2 );\\n\\tfloat y = abs( x );\\n\\tfloat a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y;\\n\\tfloat b = 3.4175940 + ( 4.1616724 + y ) * y;\\n\\tfloat v = a / b;\\n\\tfloat theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v;\\n\\treturn cross( v1, v2 ) * theta_sintheta;\\n}\\nvec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) {\\n\\tvec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ];\\n\\tvec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ];\\n\\tvec3 lightNormal = cross( v1, v2 );\\n\\tif( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 );\\n\\tvec3 T1, T2;\\n\\tT1 = normalize( V - N * dot( V, N ) );\\n\\tT2 = - cross( N, T1 );\\n\\tmat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) );\\n\\tvec3 coords[ 4 ];\\n\\tcoords[ 0 ] = mat * ( rectCoords[ 0 ] - P );\\n\\tcoords[ 1 ] = mat * ( rectCoords[ 1 ] - P );\\n\\tcoords[ 2 ] = mat * ( rectCoords[ 2 ] - P );\\n\\tcoords[ 3 ] = mat * ( rectCoords[ 3 ] - P );\\n\\tcoords[ 0 ] = normalize( coords[ 0 ] );\\n\\tcoords[ 1 ] = normalize( coords[ 1 ] );\\n\\tcoords[ 2 ] = normalize( coords[ 2 ] );\\n\\tcoords[ 3 ] = normalize( coords[ 3 ] );\\n\\tvec3 vectorFormFactor = vec3( 0.0 );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] );\\n\\tfloat result = LTC_ClippedSphereFormFactor( vectorFormFactor );\\n\\treturn vec3( result );\\n}\\nvec3 BRDF_Specular_GGX_Environment( const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float roughness ) {\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tvec2 brdf = integrateSpecularBRDF( dotNV, roughness );\\n\\treturn specularColor * brdf.x + brdf.y;\\n}\\nvoid BRDF_Specular_Multiscattering_Environment( const in GeometricContext geometry, const in vec3 specularColor, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {\\n\\tfloat dotNV = saturate( dot( geometry.normal, geometry.viewDir ) );\\n\\tvec3 F = F_Schlick_RoughnessDependent( specularColor, dotNV, roughness );\\n\\tvec2 brdf = integrateSpecularBRDF( dotNV, roughness );\\n\\tvec3 FssEss = F * brdf.x + brdf.y;\\n\\tfloat Ess = brdf.x + brdf.y;\\n\\tfloat Ems = 1.0 - Ess;\\n\\tvec3 Favg = specularColor + ( 1.0 - specularColor ) * 0.047619;\\tvec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg );\\n\\tsingleScatter += FssEss;\\n\\tmultiScatter += Fms * Ems;\\n}\\nfloat G_BlinnPhong_Implicit( ) {\\n\\treturn 0.25;\\n}\\nfloat D_BlinnPhong( const in float shininess, const in float dotNH ) {\\n\\treturn RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess );\\n}\\nvec3 BRDF_Specular_BlinnPhong( const in IncidentLight incidentLight, const in GeometricContext geometry, const in vec3 specularColor, const in float shininess ) {\\n\\tvec3 halfDir = normalize( incidentLight.direction + geometry.viewDir );\\n\\tfloat dotNH = saturate( dot( geometry.normal, halfDir ) );\\n\\tfloat dotLH = saturate( dot( incidentLight.direction, halfDir ) );\\n\\tvec3 F = F_Schlick( specularColor, dotLH );\\n\\tfloat G = G_BlinnPhong_Implicit( );\\n\\tfloat D = D_BlinnPhong( shininess, dotNH );\\n\\treturn F * ( G * D );\\n}\\nfloat GGXRoughnessToBlinnExponent( const in float ggxRoughness ) {\\n\\treturn ( 2.0 / pow2( ggxRoughness + 0.0001 ) - 2.0 );\\n}\\nfloat BlinnExponentToGGXRoughness( const in float blinnExponent ) {\\n\\treturn sqrt( 2.0 / ( blinnExponent + 2.0 ) );\\n}\\n#if defined( USE_SHEEN )\\nfloat D_Charlie(float roughness, float NoH) {\\n\\tfloat invAlpha  = 1.0 / roughness;\\n\\tfloat cos2h = NoH * NoH;\\n\\tfloat sin2h = max(1.0 - cos2h, 0.0078125);\\treturn (2.0 + invAlpha) * pow(sin2h, invAlpha * 0.5) / (2.0 * PI);\\n}\\nfloat V_Neubelt(float NoV, float NoL) {\\n\\treturn saturate(1.0 / (4.0 * (NoL + NoV - NoL * NoV)));\\n}\\nvec3 BRDF_Specular_Sheen( const in float roughness, const in vec3 L, const in GeometricContext geometry, vec3 specularColor ) {\\n\\tvec3 N = geometry.normal;\\n\\tvec3 V = geometry.viewDir;\\n\\tvec3 H = normalize( V + L );\\n\\tfloat dotNH = saturate( dot( N, H ) );\\n\\treturn specularColor * D_Charlie( roughness, dotNH ) * V_Neubelt( dot(N, V), dot(N, L) );\\n}\\n#endif&quot;,\n",
       "bumpmap_pars_fragment:&quot;#ifdef USE_BUMPMAP\\n\\tuniform sampler2D bumpMap;\\n\\tuniform float bumpScale;\\n\\tvec2 dHdxy_fwd() {\\n\\t\\tvec2 dSTdx = dFdx( vUv );\\n\\t\\tvec2 dSTdy = dFdy( vUv );\\n\\t\\tfloat Hll = bumpScale * texture2D( bumpMap, vUv ).x;\\n\\t\\tfloat dBx = bumpScale * texture2D( bumpMap, vUv + dSTdx ).x - Hll;\\n\\t\\tfloat dBy = bumpScale * texture2D( bumpMap, vUv + dSTdy ).x - Hll;\\n\\t\\treturn vec2( dBx, dBy );\\n\\t}\\n\\tvec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy ) {\\n\\t\\tvec3 vSigmaX = vec3( dFdx( surf_pos.x ), dFdx( surf_pos.y ), dFdx( surf_pos.z ) );\\n\\t\\tvec3 vSigmaY = vec3( dFdy( surf_pos.x ), dFdy( surf_pos.y ), dFdy( surf_pos.z ) );\\n\\t\\tvec3 vN = surf_norm;\\n\\t\\tvec3 R1 = cross( vSigmaY, vN );\\n\\t\\tvec3 R2 = cross( vN, vSigmaX );\\n\\t\\tfloat fDet = dot( vSigmaX, R1 );\\n\\t\\tfDet *= ( float( gl_FrontFacing ) * 2.0 - 1.0 );\\n\\t\\tvec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 );\\n\\t\\treturn normalize( abs( fDet ) * surf_norm - vGrad );\\n\\t}\\n#endif&quot;,\n",
       "clipping_planes_fragment:&quot;#if NUM_CLIPPING_PLANES > 0\\n\\tvec4 plane;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {\\n\\t\\tplane = clippingPlanes[ i ];\\n\\t\\tif ( dot( vClipPosition, plane.xyz ) > plane.w ) discard;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES\\n\\t\\tbool clipped = true;\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {\\n\\t\\t\\tplane = clippingPlanes[ i ];\\n\\t\\t\\tclipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped;\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t\\tif ( clipped ) discard;\\n\\t#endif\\n#endif&quot;,\n",
       "clipping_planes_pars_fragment:&quot;#if NUM_CLIPPING_PLANES > 0\\n\\tvarying vec3 vClipPosition;\\n\\tuniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ];\\n#endif&quot;,clipping_planes_pars_vertex:&quot;#if NUM_CLIPPING_PLANES > 0\\n\\tvarying vec3 vClipPosition;\\n#endif&quot;,clipping_planes_vertex:&quot;#if NUM_CLIPPING_PLANES > 0\\n\\tvClipPosition = - mvPosition.xyz;\\n#endif&quot;,color_fragment:&quot;#ifdef USE_COLOR\\n\\tdiffuseColor.rgb *= vColor;\\n#endif&quot;,color_pars_fragment:&quot;#ifdef USE_COLOR\\n\\tvarying vec3 vColor;\\n#endif&quot;,color_pars_vertex:&quot;#ifdef USE_COLOR\\n\\tvarying vec3 vColor;\\n#endif&quot;,\n",
       "color_vertex:&quot;#ifdef USE_COLOR\\n\\tvColor.xyz = color.xyz;\\n#endif&quot;,common:&quot;#define PI 3.14159265359\\n#define PI2 6.28318530718\\n#define PI_HALF 1.5707963267949\\n#define RECIPROCAL_PI 0.31830988618\\n#define RECIPROCAL_PI2 0.15915494\\n#define LOG2 1.442695\\n#define EPSILON 1e-6\\n#ifndef saturate\\n#define saturate(a) clamp( a, 0.0, 1.0 )\\n#endif\\n#define whiteComplement(a) ( 1.0 - saturate( a ) )\\nfloat pow2( const in float x ) { return x*x; }\\nfloat pow3( const in float x ) { return x*x*x; }\\nfloat pow4( const in float x ) { float x2 = x*x; return x2*x2; }\\nfloat average( const in vec3 color ) { return dot( color, vec3( 0.3333 ) ); }\\nhighp float rand( const in vec2 uv ) {\\n\\tconst highp float a = 12.9898, b = 78.233, c = 43758.5453;\\n\\thighp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );\\n\\treturn fract(sin(sn) * c);\\n}\\n#ifdef HIGH_PRECISION\\n\\tfloat precisionSafeLength( vec3 v ) { return length( v ); }\\n#else\\n\\tfloat max3( vec3 v ) { return max( max( v.x, v.y ), v.z ); }\\n\\tfloat precisionSafeLength( vec3 v ) {\\n\\t\\tfloat maxComponent = max3( abs( v ) );\\n\\t\\treturn length( v / maxComponent ) * maxComponent;\\n\\t}\\n#endif\\nstruct IncidentLight {\\n\\tvec3 color;\\n\\tvec3 direction;\\n\\tbool visible;\\n};\\nstruct ReflectedLight {\\n\\tvec3 directDiffuse;\\n\\tvec3 directSpecular;\\n\\tvec3 indirectDiffuse;\\n\\tvec3 indirectSpecular;\\n};\\nstruct GeometricContext {\\n\\tvec3 position;\\n\\tvec3 normal;\\n\\tvec3 viewDir;\\n#ifdef CLEARCOAT\\n\\tvec3 clearcoatNormal;\\n#endif\\n};\\nvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\\n\\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\\n}\\nvec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {\\n\\treturn normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );\\n}\\nvec3 projectOnPlane(in vec3 point, in vec3 pointOnPlane, in vec3 planeNormal ) {\\n\\tfloat distance = dot( planeNormal, point - pointOnPlane );\\n\\treturn - distance * planeNormal + point;\\n}\\nfloat sideOfPlane( in vec3 point, in vec3 pointOnPlane, in vec3 planeNormal ) {\\n\\treturn sign( dot( point - pointOnPlane, planeNormal ) );\\n}\\nvec3 linePlaneIntersect( in vec3 pointOnLine, in vec3 lineDirection, in vec3 pointOnPlane, in vec3 planeNormal ) {\\n\\treturn lineDirection * ( dot( planeNormal, pointOnPlane - pointOnLine ) / dot( planeNormal, lineDirection ) ) + pointOnLine;\\n}\\nmat3 transposeMat3( const in mat3 m ) {\\n\\tmat3 tmp;\\n\\ttmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x );\\n\\ttmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y );\\n\\ttmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z );\\n\\treturn tmp;\\n}\\nfloat linearToRelativeLuminance( const in vec3 color ) {\\n\\tvec3 weights = vec3( 0.2126, 0.7152, 0.0722 );\\n\\treturn dot( weights, color.rgb );\\n}\\nbool isPerspectiveMatrix( mat4 m ) {\\n  return m[ 2 ][ 3 ] == - 1.0;\\n}&quot;,\n",
       "cube_uv_reflection_fragment:&quot;#ifdef ENVMAP_TYPE_CUBE_UV\\n#define cubeUV_maxMipLevel 8.0\\n#define cubeUV_minMipLevel 4.0\\n#define cubeUV_maxTileSize 256.0\\n#define cubeUV_minTileSize 16.0\\nfloat getFace(vec3 direction) {\\n    vec3 absDirection = abs(direction);\\n    float face = -1.0;\\n    if (absDirection.x > absDirection.z) {\\n      if (absDirection.x > absDirection.y)\\n        face = direction.x > 0.0 ? 0.0 : 3.0;\\n      else\\n        face = direction.y > 0.0 ? 1.0 : 4.0;\\n    } else {\\n      if (absDirection.z > absDirection.y)\\n        face = direction.z > 0.0 ? 2.0 : 5.0;\\n      else\\n        face = direction.y > 0.0 ? 1.0 : 4.0;\\n    }\\n    return face;\\n}\\nvec2 getUV(vec3 direction, float face) {\\n    vec2 uv;\\n    if (face == 0.0) {\\n      uv = vec2(-direction.z, direction.y) / abs(direction.x);\\n    } else if (face == 1.0) {\\n      uv = vec2(direction.x, -direction.z) / abs(direction.y);\\n    } else if (face == 2.0) {\\n      uv = direction.xy / abs(direction.z);\\n    } else if (face == 3.0) {\\n      uv = vec2(direction.z, direction.y) / abs(direction.x);\\n    } else if (face == 4.0) {\\n      uv = direction.xz / abs(direction.y);\\n    } else {\\n      uv = vec2(-direction.x, direction.y) / abs(direction.z);\\n    }\\n    return 0.5 * (uv + 1.0);\\n}\\nvec3 bilinearCubeUV(sampler2D envMap, vec3 direction, float mipInt) {\\n  float face = getFace(direction);\\n  float filterInt = max(cubeUV_minMipLevel - mipInt, 0.0);\\n  mipInt = max(mipInt, cubeUV_minMipLevel);\\n  float faceSize = exp2(mipInt);\\n  float texelSize = 1.0 / (3.0 * cubeUV_maxTileSize);\\n  vec2 uv = getUV(direction, face) * (faceSize - 1.0);\\n  vec2 f = fract(uv);\\n  uv += 0.5 - f;\\n  if (face > 2.0) {\\n    uv.y += faceSize;\\n    face -= 3.0;\\n  }\\n  uv.x += face * faceSize;\\n  if(mipInt < cubeUV_maxMipLevel){\\n    uv.y += 2.0 * cubeUV_maxTileSize;\\n  }\\n  uv.y += filterInt * 2.0 * cubeUV_minTileSize;\\n  uv.x += 3.0 * max(0.0, cubeUV_maxTileSize - 2.0 * faceSize);\\n  uv *= texelSize;\\n  vec3 tl = envMapTexelToLinear(texture2D(envMap, uv)).rgb;\\n  uv.x += texelSize;\\n  vec3 tr = envMapTexelToLinear(texture2D(envMap, uv)).rgb;\\n  uv.y += texelSize;\\n  vec3 br = envMapTexelToLinear(texture2D(envMap, uv)).rgb;\\n  uv.x -= texelSize;\\n  vec3 bl = envMapTexelToLinear(texture2D(envMap, uv)).rgb;\\n  vec3 tm = mix(tl, tr, f.x);\\n  vec3 bm = mix(bl, br, f.x);\\n  return mix(tm, bm, f.y);\\n}\\n#define r0 1.0\\n#define v0 0.339\\n#define m0 -2.0\\n#define r1 0.8\\n#define v1 0.276\\n#define m1 -1.0\\n#define r4 0.4\\n#define v4 0.046\\n#define m4 2.0\\n#define r5 0.305\\n#define v5 0.016\\n#define m5 3.0\\n#define r6 0.21\\n#define v6 0.0038\\n#define m6 4.0\\nfloat roughnessToMip(float roughness) {\\n  float mip = 0.0;\\n  if (roughness >= r1) {\\n    mip = (r0 - roughness) * (m1 - m0) / (r0 - r1) + m0;\\n  } else if (roughness >= r4) {\\n    mip = (r1 - roughness) * (m4 - m1) / (r1 - r4) + m1;\\n  } else if (roughness >= r5) {\\n    mip = (r4 - roughness) * (m5 - m4) / (r4 - r5) + m4;\\n  } else if (roughness >= r6) {\\n    mip = (r5 - roughness) * (m6 - m5) / (r5 - r6) + m5;\\n  } else {\\n    mip = -2.0 * log2(1.16 * roughness);  }\\n  return mip;\\n}\\nvec4 textureCubeUV(sampler2D envMap, vec3 sampleDir, float roughness) {\\n  float mip = clamp(roughnessToMip(roughness), m0, cubeUV_maxMipLevel);\\n  float mipF = fract(mip);\\n  float mipInt = floor(mip);\\n  vec3 color0 = bilinearCubeUV(envMap, sampleDir, mipInt);\\n  if (mipF == 0.0) {\\n    return vec4(color0, 1.0);\\n  } else {\\n    vec3 color1 = bilinearCubeUV(envMap, sampleDir, mipInt + 1.0);\\n    return vec4(mix(color0, color1, mipF), 1.0);\\n  }\\n}\\n#endif&quot;,\n",
       "defaultnormal_vertex:&quot;vec3 transformedNormal = objectNormal;\\n#ifdef USE_INSTANCING\\n\\tmat3 m = mat3( instanceMatrix );\\n\\ttransformedNormal /= vec3( dot( m[ 0 ], m[ 0 ] ), dot( m[ 1 ], m[ 1 ] ), dot( m[ 2 ], m[ 2 ] ) );\\n\\ttransformedNormal = m * transformedNormal;\\n#endif\\ntransformedNormal = normalMatrix * transformedNormal;\\n#ifdef FLIP_SIDED\\n\\ttransformedNormal = - transformedNormal;\\n#endif\\n#ifdef USE_TANGENT\\n\\tvec3 transformedTangent = ( modelViewMatrix * vec4( objectTangent, 0.0 ) ).xyz;\\n\\t#ifdef FLIP_SIDED\\n\\t\\ttransformedTangent = - transformedTangent;\\n\\t#endif\\n#endif&quot;,\n",
       "displacementmap_pars_vertex:&quot;#ifdef USE_DISPLACEMENTMAP\\n\\tuniform sampler2D displacementMap;\\n\\tuniform float displacementScale;\\n\\tuniform float displacementBias;\\n#endif&quot;,displacementmap_vertex:&quot;#ifdef USE_DISPLACEMENTMAP\\n\\ttransformed += normalize( objectNormal ) * ( texture2D( displacementMap, vUv ).x * displacementScale + displacementBias );\\n#endif&quot;,emissivemap_fragment:&quot;#ifdef USE_EMISSIVEMAP\\n\\tvec4 emissiveColor = texture2D( emissiveMap, vUv );\\n\\temissiveColor.rgb = emissiveMapTexelToLinear( emissiveColor ).rgb;\\n\\ttotalEmissiveRadiance *= emissiveColor.rgb;\\n#endif&quot;,\n",
       "emissivemap_pars_fragment:&quot;#ifdef USE_EMISSIVEMAP\\n\\tuniform sampler2D emissiveMap;\\n#endif&quot;,encodings_fragment:&quot;gl_FragColor = linearToOutputTexel( gl_FragColor );&quot;,encodings_pars_fragment:&quot;\\nvec4 LinearToLinear( in vec4 value ) {\\n\\treturn value;\\n}\\nvec4 GammaToLinear( in vec4 value, in float gammaFactor ) {\\n\\treturn vec4( pow( value.rgb, vec3( gammaFactor ) ), value.a );\\n}\\nvec4 LinearToGamma( in vec4 value, in float gammaFactor ) {\\n\\treturn vec4( pow( value.rgb, vec3( 1.0 / gammaFactor ) ), value.a );\\n}\\nvec4 sRGBToLinear( in vec4 value ) {\\n\\treturn vec4( mix( pow( value.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), value.rgb * 0.0773993808, vec3( lessThanEqual( value.rgb, vec3( 0.04045 ) ) ) ), value.a );\\n}\\nvec4 LinearTosRGB( in vec4 value ) {\\n\\treturn 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 );\\n}\\nvec4 RGBEToLinear( in vec4 value ) {\\n\\treturn vec4( value.rgb * exp2( value.a * 255.0 - 128.0 ), 1.0 );\\n}\\nvec4 LinearToRGBE( in vec4 value ) {\\n\\tfloat maxComponent = max( max( value.r, value.g ), value.b );\\n\\tfloat fExp = clamp( ceil( log2( maxComponent ) ), -128.0, 127.0 );\\n\\treturn vec4( value.rgb / exp2( fExp ), ( fExp + 128.0 ) / 255.0 );\\n}\\nvec4 RGBMToLinear( in vec4 value, in float maxRange ) {\\n\\treturn vec4( value.rgb * value.a * maxRange, 1.0 );\\n}\\nvec4 LinearToRGBM( in vec4 value, in float maxRange ) {\\n\\tfloat maxRGB = max( value.r, max( value.g, value.b ) );\\n\\tfloat M = clamp( maxRGB / maxRange, 0.0, 1.0 );\\n\\tM = ceil( M * 255.0 ) / 255.0;\\n\\treturn vec4( value.rgb / ( M * maxRange ), M );\\n}\\nvec4 RGBDToLinear( in vec4 value, in float maxRange ) {\\n\\treturn vec4( value.rgb * ( ( maxRange / 255.0 ) / value.a ), 1.0 );\\n}\\nvec4 LinearToRGBD( in vec4 value, in float maxRange ) {\\n\\tfloat maxRGB = max( value.r, max( value.g, value.b ) );\\n\\tfloat D = max( maxRange / maxRGB, 1.0 );\\n\\tD = clamp( floor( D ) / 255.0, 0.0, 1.0 );\\n\\treturn vec4( value.rgb * ( D * ( 255.0 / maxRange ) ), D );\\n}\\nconst mat3 cLogLuvM = mat3( 0.2209, 0.3390, 0.4184, 0.1138, 0.6780, 0.7319, 0.0102, 0.1130, 0.2969 );\\nvec4 LinearToLogLuv( in vec4 value )  {\\n\\tvec3 Xp_Y_XYZp = cLogLuvM * value.rgb;\\n\\tXp_Y_XYZp = max( Xp_Y_XYZp, vec3( 1e-6, 1e-6, 1e-6 ) );\\n\\tvec4 vResult;\\n\\tvResult.xy = Xp_Y_XYZp.xy / Xp_Y_XYZp.z;\\n\\tfloat Le = 2.0 * log2(Xp_Y_XYZp.y) + 127.0;\\n\\tvResult.w = fract( Le );\\n\\tvResult.z = ( Le - ( floor( vResult.w * 255.0 ) ) / 255.0 ) / 255.0;\\n\\treturn vResult;\\n}\\nconst mat3 cLogLuvInverseM = mat3( 6.0014, -2.7008, -1.7996, -1.3320, 3.1029, -5.7721, 0.3008, -1.0882, 5.6268 );\\nvec4 LogLuvToLinear( in vec4 value ) {\\n\\tfloat Le = value.z * 255.0 + value.w;\\n\\tvec3 Xp_Y_XYZp;\\n\\tXp_Y_XYZp.y = exp2( ( Le - 127.0 ) / 2.0 );\\n\\tXp_Y_XYZp.z = Xp_Y_XYZp.y / value.y;\\n\\tXp_Y_XYZp.x = value.x * Xp_Y_XYZp.z;\\n\\tvec3 vRGB = cLogLuvInverseM * Xp_Y_XYZp.rgb;\\n\\treturn vec4( max( vRGB, 0.0 ), 1.0 );\\n}&quot;,\n",
       "envmap_fragment:&quot;#ifdef USE_ENVMAP\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\tvec3 cameraToFrag;\\n\\t\\t\\n\\t\\tif ( isOrthographic ) {\\n\\t\\t\\tcameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\n\\t\\t}  else {\\n\\t\\t\\tcameraToFrag = normalize( vWorldPosition - cameraPosition );\\n\\t\\t}\\n\\t\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\t\\t#ifdef ENVMAP_MODE_REFLECTION\\n\\t\\t\\tvec3 reflectVec = reflect( cameraToFrag, worldNormal );\\n\\t\\t#else\\n\\t\\t\\tvec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio );\\n\\t\\t#endif\\n\\t#else\\n\\t\\tvec3 reflectVec = vReflect;\\n\\t#endif\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\tvec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) );\\n\\t#elif defined( ENVMAP_TYPE_CUBE_UV )\\n\\t\\tvec4 envColor = textureCubeUV( envMap, reflectVec, 0.0 );\\n\\t#elif defined( ENVMAP_TYPE_EQUIREC )\\n\\t\\tvec2 sampleUV;\\n\\t\\treflectVec = normalize( reflectVec );\\n\\t\\tsampleUV.y = asin( clamp( reflectVec.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\\n\\t\\tsampleUV.x = atan( reflectVec.z, reflectVec.x ) * RECIPROCAL_PI2 + 0.5;\\n\\t\\tvec4 envColor = texture2D( envMap, sampleUV );\\n\\t#elif defined( ENVMAP_TYPE_SPHERE )\\n\\t\\treflectVec = normalize( reflectVec );\\n\\t\\tvec3 reflectView = normalize( ( viewMatrix * vec4( reflectVec, 0.0 ) ).xyz + vec3( 0.0, 0.0, 1.0 ) );\\n\\t\\tvec4 envColor = texture2D( envMap, reflectView.xy * 0.5 + 0.5 );\\n\\t#else\\n\\t\\tvec4 envColor = vec4( 0.0 );\\n\\t#endif\\n\\t#ifndef ENVMAP_TYPE_CUBE_UV\\n\\t\\tenvColor = envMapTexelToLinear( envColor );\\n\\t#endif\\n\\t#ifdef ENVMAP_BLENDING_MULTIPLY\\n\\t\\toutgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity );\\n\\t#elif defined( ENVMAP_BLENDING_MIX )\\n\\t\\toutgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity );\\n\\t#elif defined( ENVMAP_BLENDING_ADD )\\n\\t\\toutgoingLight += envColor.xyz * specularStrength * reflectivity;\\n\\t#endif\\n#endif&quot;,\n",
       "envmap_common_pars_fragment:&quot;#ifdef USE_ENVMAP\\n\\tuniform float envMapIntensity;\\n\\tuniform float flipEnvMap;\\n\\tuniform int maxMipLevel;\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\tuniform samplerCube envMap;\\n\\t#else\\n\\t\\tuniform sampler2D envMap;\\n\\t#endif\\n\\t\\n#endif&quot;,envmap_pars_fragment:&quot;#ifdef USE_ENVMAP\\n\\tuniform float reflectivity;\\n\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG )\\n\\t\\t#define ENV_WORLDPOS\\n\\t#endif\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\tvarying vec3 vWorldPosition;\\n\\t\\tuniform float refractionRatio;\\n\\t#else\\n\\t\\tvarying vec3 vReflect;\\n\\t#endif\\n#endif&quot;,\n",
       "envmap_pars_vertex:&quot;#ifdef USE_ENVMAP\\n\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) ||defined( PHONG )\\n\\t\\t#define ENV_WORLDPOS\\n\\t#endif\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\t\\n\\t\\tvarying vec3 vWorldPosition;\\n\\t#else\\n\\t\\tvarying vec3 vReflect;\\n\\t\\tuniform float refractionRatio;\\n\\t#endif\\n#endif&quot;,envmap_physical_pars_fragment:&quot;#if defined( USE_ENVMAP )\\n\\t#ifdef ENVMAP_MODE_REFRACTION\\n\\t\\tuniform float refractionRatio;\\n\\t#endif\\n\\tvec3 getLightProbeIndirectIrradiance( const in GeometricContext geometry, const in int maxMIPLevel ) {\\n\\t\\tvec3 worldNormal = inverseTransformDirection( geometry.normal, viewMatrix );\\n\\t\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\t\\tvec3 queryVec = vec3( flipEnvMap * worldNormal.x, worldNormal.yz );\\n\\t\\t\\t#ifdef TEXTURE_LOD_EXT\\n\\t\\t\\t\\tvec4 envMapColor = textureCubeLodEXT( envMap, queryVec, float( maxMIPLevel ) );\\n\\t\\t\\t#else\\n\\t\\t\\t\\tvec4 envMapColor = textureCube( envMap, queryVec, float( maxMIPLevel ) );\\n\\t\\t\\t#endif\\n\\t\\t\\tenvMapColor.rgb = envMapTexelToLinear( envMapColor ).rgb;\\n\\t\\t#elif defined( ENVMAP_TYPE_CUBE_UV )\\n\\t\\t\\tvec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 );\\n\\t\\t#else\\n\\t\\t\\tvec4 envMapColor = vec4( 0.0 );\\n\\t\\t#endif\\n\\t\\treturn PI * envMapColor.rgb * envMapIntensity;\\n\\t}\\n\\tfloat getSpecularMIPLevel( const in float roughness, const in int maxMIPLevel ) {\\n\\t\\tfloat maxMIPLevelScalar = float( maxMIPLevel );\\n\\t\\tfloat sigma = PI * roughness * roughness / ( 1.0 + roughness );\\n\\t\\tfloat desiredMIPLevel = maxMIPLevelScalar + log2( sigma );\\n\\t\\treturn clamp( desiredMIPLevel, 0.0, maxMIPLevelScalar );\\n\\t}\\n\\tvec3 getLightProbeIndirectRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in int maxMIPLevel ) {\\n\\t\\t#ifdef ENVMAP_MODE_REFLECTION\\n\\t\\t  vec3 reflectVec = reflect( -viewDir, normal );\\n\\t\\t  reflectVec = normalize( mix( reflectVec, normal, roughness * roughness) );\\n\\t\\t#else\\n\\t\\t  vec3 reflectVec = refract( -viewDir, normal, refractionRatio );\\n\\t\\t#endif\\n\\t\\treflectVec = inverseTransformDirection( reflectVec, viewMatrix );\\n\\t\\tfloat specularMIPLevel = getSpecularMIPLevel( roughness, maxMIPLevel );\\n\\t\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\t\\tvec3 queryReflectVec = vec3( flipEnvMap * reflectVec.x, reflectVec.yz );\\n\\t\\t\\t#ifdef TEXTURE_LOD_EXT\\n\\t\\t\\t\\tvec4 envMapColor = textureCubeLodEXT( envMap, queryReflectVec, specularMIPLevel );\\n\\t\\t\\t#else\\n\\t\\t\\t\\tvec4 envMapColor = textureCube( envMap, queryReflectVec, specularMIPLevel );\\n\\t\\t\\t#endif\\n\\t\\t\\tenvMapColor.rgb = envMapTexelToLinear( envMapColor ).rgb;\\n\\t\\t#elif defined( ENVMAP_TYPE_CUBE_UV )\\n\\t\\t\\tvec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness );\\n\\t\\t#elif defined( ENVMAP_TYPE_EQUIREC )\\n\\t\\t\\tvec2 sampleUV;\\n\\t\\t\\tsampleUV.y = asin( clamp( reflectVec.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\\n\\t\\t\\tsampleUV.x = atan( reflectVec.z, reflectVec.x ) * RECIPROCAL_PI2 + 0.5;\\n\\t\\t\\t#ifdef TEXTURE_LOD_EXT\\n\\t\\t\\t\\tvec4 envMapColor = texture2DLodEXT( envMap, sampleUV, specularMIPLevel );\\n\\t\\t\\t#else\\n\\t\\t\\t\\tvec4 envMapColor = texture2D( envMap, sampleUV, specularMIPLevel );\\n\\t\\t\\t#endif\\n\\t\\t\\tenvMapColor.rgb = envMapTexelToLinear( envMapColor ).rgb;\\n\\t\\t#elif defined( ENVMAP_TYPE_SPHERE )\\n\\t\\t\\tvec3 reflectView = normalize( ( viewMatrix * vec4( reflectVec, 0.0 ) ).xyz + vec3( 0.0,0.0,1.0 ) );\\n\\t\\t\\t#ifdef TEXTURE_LOD_EXT\\n\\t\\t\\t\\tvec4 envMapColor = texture2DLodEXT( envMap, reflectView.xy * 0.5 + 0.5, specularMIPLevel );\\n\\t\\t\\t#else\\n\\t\\t\\t\\tvec4 envMapColor = texture2D( envMap, reflectView.xy * 0.5 + 0.5, specularMIPLevel );\\n\\t\\t\\t#endif\\n\\t\\t\\tenvMapColor.rgb = envMapTexelToLinear( envMapColor ).rgb;\\n\\t\\t#endif\\n\\t\\treturn envMapColor.rgb * envMapIntensity;\\n\\t}\\n#endif&quot;,\n",
       "envmap_vertex:&quot;#ifdef USE_ENVMAP\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\tvWorldPosition = worldPosition.xyz;\\n\\t#else\\n\\t\\tvec3 cameraToVertex;\\n\\t\\tif ( isOrthographic ) { \\n\\t\\t\\tcameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\n\\t\\t} else {\\n\\t\\t\\tcameraToVertex = normalize( worldPosition.xyz - cameraPosition );\\n\\t\\t}\\n\\t\\tvec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\n\\t\\t#ifdef ENVMAP_MODE_REFLECTION\\n\\t\\t\\tvReflect = reflect( cameraToVertex, worldNormal );\\n\\t\\t#else\\n\\t\\t\\tvReflect = refract( cameraToVertex, worldNormal, refractionRatio );\\n\\t\\t#endif\\n\\t#endif\\n#endif&quot;,\n",
       "fog_vertex:&quot;#ifdef USE_FOG\\n\\tfogDepth = -mvPosition.z;\\n#endif&quot;,fog_pars_vertex:&quot;#ifdef USE_FOG\\n\\tvarying float fogDepth;\\n#endif&quot;,fog_fragment:&quot;#ifdef USE_FOG\\n\\t#ifdef FOG_EXP2\\n\\t\\tfloat fogFactor = 1.0 - exp( - fogDensity * fogDensity * fogDepth * fogDepth );\\n\\t#else\\n\\t\\tfloat fogFactor = smoothstep( fogNear, fogFar, fogDepth );\\n\\t#endif\\n\\tgl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor );\\n#endif&quot;,fog_pars_fragment:&quot;#ifdef USE_FOG\\n\\tuniform vec3 fogColor;\\n\\tvarying float fogDepth;\\n\\t#ifdef FOG_EXP2\\n\\t\\tuniform float fogDensity;\\n\\t#else\\n\\t\\tuniform float fogNear;\\n\\t\\tuniform float fogFar;\\n\\t#endif\\n#endif&quot;,\n",
       "gradientmap_pars_fragment:&quot;#ifdef USE_GRADIENTMAP\\n\\tuniform sampler2D gradientMap;\\n#endif\\nvec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) {\\n\\tfloat dotNL = dot( normal, lightDirection );\\n\\tvec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 );\\n\\t#ifdef USE_GRADIENTMAP\\n\\t\\treturn texture2D( gradientMap, coord ).rgb;\\n\\t#else\\n\\t\\treturn ( coord.x < 0.7 ) ? vec3( 0.7 ) : vec3( 1.0 );\\n\\t#endif\\n}&quot;,lightmap_fragment:&quot;#ifdef USE_LIGHTMAP\\n\\tvec4 lightMapTexel= texture2D( lightMap, vUv2 );\\n\\treflectedLight.indirectDiffuse += PI * lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\\n#endif&quot;,\n",
       "lightmap_pars_fragment:&quot;#ifdef USE_LIGHTMAP\\n\\tuniform sampler2D lightMap;\\n\\tuniform float lightMapIntensity;\\n#endif&quot;,lights_lambert_vertex:&quot;vec3 diffuse = vec3( 1.0 );\\nGeometricContext geometry;\\ngeometry.position = mvPosition.xyz;\\ngeometry.normal = normalize( transformedNormal );\\ngeometry.viewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( -mvPosition.xyz );\\nGeometricContext backGeometry;\\nbackGeometry.position = geometry.position;\\nbackGeometry.normal = -geometry.normal;\\nbackGeometry.viewDir = geometry.viewDir;\\nvLightFront = vec3( 0.0 );\\nvIndirectFront = vec3( 0.0 );\\n#ifdef DOUBLE_SIDED\\n\\tvLightBack = vec3( 0.0 );\\n\\tvIndirectBack = vec3( 0.0 );\\n#endif\\nIncidentLight directLight;\\nfloat dotNL;\\nvec3 directLightColor_Diffuse;\\n#if NUM_POINT_LIGHTS > 0\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\\n\\t\\tgetPointDirectLightIrradiance( pointLights[ i ], geometry, directLight );\\n\\t\\tdotNL = dot( geometry.normal, directLight.direction );\\n\\t\\tdirectLightColor_Diffuse = PI * directLight.color;\\n\\t\\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\\n\\t\\t#ifdef DOUBLE_SIDED\\n\\t\\t\\tvLightBack += saturate( -dotNL ) * directLightColor_Diffuse;\\n\\t\\t#endif\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if NUM_SPOT_LIGHTS > 0\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\\n\\t\\tgetSpotDirectLightIrradiance( spotLights[ i ], geometry, directLight );\\n\\t\\tdotNL = dot( geometry.normal, directLight.direction );\\n\\t\\tdirectLightColor_Diffuse = PI * directLight.color;\\n\\t\\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\\n\\t\\t#ifdef DOUBLE_SIDED\\n\\t\\t\\tvLightBack += saturate( -dotNL ) * directLightColor_Diffuse;\\n\\t\\t#endif\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if NUM_DIR_LIGHTS > 0\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\\n\\t\\tgetDirectionalDirectLightIrradiance( directionalLights[ i ], geometry, directLight );\\n\\t\\tdotNL = dot( geometry.normal, directLight.direction );\\n\\t\\tdirectLightColor_Diffuse = PI * directLight.color;\\n\\t\\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\\n\\t\\t#ifdef DOUBLE_SIDED\\n\\t\\t\\tvLightBack += saturate( -dotNL ) * directLightColor_Diffuse;\\n\\t\\t#endif\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if NUM_HEMI_LIGHTS > 0\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\\n\\t\\tvIndirectFront += getHemisphereLightIrradiance( hemisphereLights[ i ], geometry );\\n\\t\\t#ifdef DOUBLE_SIDED\\n\\t\\t\\tvIndirectBack += getHemisphereLightIrradiance( hemisphereLights[ i ], backGeometry );\\n\\t\\t#endif\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif&quot;,\n",
       "lights_pars_begin:&quot;uniform bool receiveShadow;\\nuniform vec3 ambientLightColor;\\nuniform vec3 lightProbe[ 9 ];\\nvec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) {\\n\\tfloat x = normal.x, y = normal.y, z = normal.z;\\n\\tvec3 result = shCoefficients[ 0 ] * 0.886227;\\n\\tresult += shCoefficients[ 1 ] * 2.0 * 0.511664 * y;\\n\\tresult += shCoefficients[ 2 ] * 2.0 * 0.511664 * z;\\n\\tresult += shCoefficients[ 3 ] * 2.0 * 0.511664 * x;\\n\\tresult += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y;\\n\\tresult += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z;\\n\\tresult += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 );\\n\\tresult += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z;\\n\\tresult += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y );\\n\\treturn result;\\n}\\nvec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in GeometricContext geometry ) {\\n\\tvec3 worldNormal = inverseTransformDirection( geometry.normal, viewMatrix );\\n\\tvec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe );\\n\\treturn irradiance;\\n}\\nvec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) {\\n\\tvec3 irradiance = ambientLightColor;\\n\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\n\\t\\tirradiance *= PI;\\n\\t#endif\\n\\treturn irradiance;\\n}\\n#if NUM_DIR_LIGHTS > 0\\n\\tstruct DirectionalLight {\\n\\t\\tvec3 direction;\\n\\t\\tvec3 color;\\n\\t};\\n\\tuniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ];\\n\\t#if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0\\n\\t\\tstruct DirectionalLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t#endif\\n\\tvoid getDirectionalDirectLightIrradiance( const in DirectionalLight directionalLight, const in GeometricContext geometry, out IncidentLight directLight ) {\\n\\t\\tdirectLight.color = directionalLight.color;\\n\\t\\tdirectLight.direction = directionalLight.direction;\\n\\t\\tdirectLight.visible = true;\\n\\t}\\n#endif\\n#if NUM_POINT_LIGHTS > 0\\n\\tstruct PointLight {\\n\\t\\tvec3 position;\\n\\t\\tvec3 color;\\n\\t\\tfloat distance;\\n\\t\\tfloat decay;\\n\\t};\\n\\tuniform PointLight pointLights[ NUM_POINT_LIGHTS ];\\n\\t#if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0\\n\\t\\tstruct PointLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t\\tfloat shadowCameraNear;\\n\\t\\t\\tfloat shadowCameraFar;\\n\\t\\t};\\n\\t\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\tvoid getPointDirectLightIrradiance( const in PointLight pointLight, const in GeometricContext geometry, out IncidentLight directLight ) {\\n\\t\\tvec3 lVector = pointLight.position - geometry.position;\\n\\t\\tdirectLight.direction = normalize( lVector );\\n\\t\\tfloat lightDistance = length( lVector );\\n\\t\\tdirectLight.color = pointLight.color;\\n\\t\\tdirectLight.color *= punctualLightIntensityToIrradianceFactor( lightDistance, pointLight.distance, pointLight.decay );\\n\\t\\tdirectLight.visible = ( directLight.color != vec3( 0.0 ) );\\n\\t}\\n#endif\\n#if NUM_SPOT_LIGHTS > 0\\n\\tstruct SpotLight {\\n\\t\\tvec3 position;\\n\\t\\tvec3 direction;\\n\\t\\tvec3 color;\\n\\t\\tfloat distance;\\n\\t\\tfloat decay;\\n\\t\\tfloat coneCos;\\n\\t\\tfloat penumbraCos;\\n\\t};\\n\\tuniform SpotLight spotLights[ NUM_SPOT_LIGHTS ];\\n\\t#if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0\\n\\t\\tstruct SpotLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\tvoid getSpotDirectLightIrradiance( const in SpotLight spotLight, const in GeometricContext geometry, out IncidentLight directLight  ) {\\n\\t\\tvec3 lVector = spotLight.position - geometry.position;\\n\\t\\tdirectLight.direction = normalize( lVector );\\n\\t\\tfloat lightDistance = length( lVector );\\n\\t\\tfloat angleCos = dot( directLight.direction, spotLight.direction );\\n\\t\\tif ( angleCos > spotLight.coneCos ) {\\n\\t\\t\\tfloat spotEffect = smoothstep( spotLight.coneCos, spotLight.penumbraCos, angleCos );\\n\\t\\t\\tdirectLight.color = spotLight.color;\\n\\t\\t\\tdirectLight.color *= spotEffect * punctualLightIntensityToIrradianceFactor( lightDistance, spotLight.distance, spotLight.decay );\\n\\t\\t\\tdirectLight.visible = true;\\n\\t\\t} else {\\n\\t\\t\\tdirectLight.color = vec3( 0.0 );\\n\\t\\t\\tdirectLight.visible = false;\\n\\t\\t}\\n\\t}\\n#endif\\n#if NUM_RECT_AREA_LIGHTS > 0\\n\\tstruct RectAreaLight {\\n\\t\\tvec3 color;\\n\\t\\tvec3 position;\\n\\t\\tvec3 halfWidth;\\n\\t\\tvec3 halfHeight;\\n\\t};\\n\\tuniform sampler2D ltc_1;\\tuniform sampler2D ltc_2;\\n\\tuniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ];\\n#endif\\n#if NUM_HEMI_LIGHTS > 0\\n\\tstruct HemisphereLight {\\n\\t\\tvec3 direction;\\n\\t\\tvec3 skyColor;\\n\\t\\tvec3 groundColor;\\n\\t};\\n\\tuniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ];\\n\\tvec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in GeometricContext geometry ) {\\n\\t\\tfloat dotNL = dot( geometry.normal, hemiLight.direction );\\n\\t\\tfloat hemiDiffuseWeight = 0.5 * dotNL + 0.5;\\n\\t\\tvec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight );\\n\\t\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\n\\t\\t\\tirradiance *= PI;\\n\\t\\t#endif\\n\\t\\treturn irradiance;\\n\\t}\\n#endif&quot;,\n",
       "lights_toon_fragment:&quot;ToonMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\\nmaterial.specularColor = specular;\\nmaterial.specularShininess = shininess;\\nmaterial.specularStrength = specularStrength;&quot;,lights_toon_pars_fragment:&quot;varying vec3 vViewPosition;\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n#endif\\nstruct ToonMaterial {\\n\\tvec3\\tdiffuseColor;\\n\\tvec3\\tspecularColor;\\n\\tfloat\\tspecularShininess;\\n\\tfloat\\tspecularStrength;\\n};\\nvoid RE_Direct_Toon( const in IncidentLight directLight, const in GeometricContext geometry, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tvec3 irradiance = getGradientIrradiance( geometry.normal, directLight.direction ) * directLight.color;\\n\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\n\\t\\tirradiance *= PI;\\n\\t#endif\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\\n\\treflectedLight.directSpecular += irradiance * BRDF_Specular_BlinnPhong( directLight, geometry, material.specularColor, material.specularShininess ) * material.specularStrength;\\n}\\nvoid RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in GeometricContext geometry, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Toon\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Toon\\n#define Material_LightProbeLOD( material )\\t(0)&quot;,\n",
       "lights_phong_fragment:&quot;BlinnPhongMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\\nmaterial.specularColor = specular;\\nmaterial.specularShininess = shininess;\\nmaterial.specularStrength = specularStrength;&quot;,lights_phong_pars_fragment:&quot;varying vec3 vViewPosition;\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n#endif\\nstruct BlinnPhongMaterial {\\n\\tvec3\\tdiffuseColor;\\n\\tvec3\\tspecularColor;\\n\\tfloat\\tspecularShininess;\\n\\tfloat\\tspecularStrength;\\n};\\nvoid RE_Direct_BlinnPhong( const in IncidentLight directLight, const in GeometricContext geometry, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tfloat dotNL = saturate( dot( geometry.normal, directLight.direction ) );\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\n\\t\\tirradiance *= PI;\\n\\t#endif\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\\n\\treflectedLight.directSpecular += irradiance * BRDF_Specular_BlinnPhong( directLight, geometry, material.specularColor, material.specularShininess ) * material.specularStrength;\\n}\\nvoid RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in GeometricContext geometry, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_BlinnPhong\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_BlinnPhong\\n#define Material_LightProbeLOD( material )\\t(0)&quot;,\n",
       "lights_physical_fragment:&quot;PhysicalMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor );\\nvec3 dxy = max( abs( dFdx( geometryNormal ) ), abs( dFdy( geometryNormal ) ) );\\nfloat geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z );\\nmaterial.specularRoughness = max( roughnessFactor, 0.0525 );material.specularRoughness += geometryRoughness;\\nmaterial.specularRoughness = min( material.specularRoughness, 1.0 );\\n#ifdef REFLECTIVITY\\n\\tmaterial.specularColor = mix( vec3( MAXIMUM_SPECULAR_COEFFICIENT * pow2( reflectivity ) ), diffuseColor.rgb, metalnessFactor );\\n#else\\n\\tmaterial.specularColor = mix( vec3( DEFAULT_SPECULAR_COEFFICIENT ), diffuseColor.rgb, metalnessFactor );\\n#endif\\n#ifdef CLEARCOAT\\n\\tmaterial.clearcoat = clearcoat;\\n\\tmaterial.clearcoatRoughness = clearcoatRoughness;\\n\\t#ifdef USE_CLEARCOATMAP\\n\\t\\tmaterial.clearcoat *= texture2D( clearcoatMap, vUv ).x;\\n\\t#endif\\n\\t#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\t\\tmaterial.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vUv ).y;\\n\\t#endif\\n\\tmaterial.clearcoat = saturate( material.clearcoat );\\tmaterial.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 );\\n\\tmaterial.clearcoatRoughness += geometryRoughness;\\n\\tmaterial.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 );\\n#endif\\n#ifdef USE_SHEEN\\n\\tmaterial.sheenColor = sheen;\\n#endif&quot;,\n",
       "lights_physical_pars_fragment:&quot;struct PhysicalMaterial {\\n\\tvec3\\tdiffuseColor;\\n\\tfloat\\tspecularRoughness;\\n\\tvec3\\tspecularColor;\\n#ifdef CLEARCOAT\\n\\tfloat clearcoat;\\n\\tfloat clearcoatRoughness;\\n#endif\\n#ifdef USE_SHEEN\\n\\tvec3 sheenColor;\\n#endif\\n};\\n#define MAXIMUM_SPECULAR_COEFFICIENT 0.16\\n#define DEFAULT_SPECULAR_COEFFICIENT 0.04\\nfloat clearcoatDHRApprox( const in float roughness, const in float dotNL ) {\\n\\treturn DEFAULT_SPECULAR_COEFFICIENT + ( 1.0 - DEFAULT_SPECULAR_COEFFICIENT ) * ( pow( 1.0 - dotNL, 5.0 ) * pow( 1.0 - roughness, 2.0 ) );\\n}\\n#if NUM_RECT_AREA_LIGHTS > 0\\n\\tvoid RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\t\\tvec3 normal = geometry.normal;\\n\\t\\tvec3 viewDir = geometry.viewDir;\\n\\t\\tvec3 position = geometry.position;\\n\\t\\tvec3 lightPos = rectAreaLight.position;\\n\\t\\tvec3 halfWidth = rectAreaLight.halfWidth;\\n\\t\\tvec3 halfHeight = rectAreaLight.halfHeight;\\n\\t\\tvec3 lightColor = rectAreaLight.color;\\n\\t\\tfloat roughness = material.specularRoughness;\\n\\t\\tvec3 rectCoords[ 4 ];\\n\\t\\trectCoords[ 0 ] = lightPos + halfWidth - halfHeight;\\t\\trectCoords[ 1 ] = lightPos - halfWidth - halfHeight;\\n\\t\\trectCoords[ 2 ] = lightPos - halfWidth + halfHeight;\\n\\t\\trectCoords[ 3 ] = lightPos + halfWidth + halfHeight;\\n\\t\\tvec2 uv = LTC_Uv( normal, viewDir, roughness );\\n\\t\\tvec4 t1 = texture2D( ltc_1, uv );\\n\\t\\tvec4 t2 = texture2D( ltc_2, uv );\\n\\t\\tmat3 mInv = mat3(\\n\\t\\t\\tvec3( t1.x, 0, t1.y ),\\n\\t\\t\\tvec3(    0, 1,    0 ),\\n\\t\\t\\tvec3( t1.z, 0, t1.w )\\n\\t\\t);\\n\\t\\tvec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y );\\n\\t\\treflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords );\\n\\t\\treflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords );\\n\\t}\\n#endif\\nvoid RE_Direct_Physical( const in IncidentLight directLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tfloat dotNL = saturate( dot( geometry.normal, directLight.direction ) );\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\n\\t\\tirradiance *= PI;\\n\\t#endif\\n\\t#ifdef CLEARCOAT\\n\\t\\tfloat ccDotNL = saturate( dot( geometry.clearcoatNormal, directLight.direction ) );\\n\\t\\tvec3 ccIrradiance = ccDotNL * directLight.color;\\n\\t\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\n\\t\\t\\tccIrradiance *= PI;\\n\\t\\t#endif\\n\\t\\tfloat clearcoatDHR = material.clearcoat * clearcoatDHRApprox( material.clearcoatRoughness, ccDotNL );\\n\\t\\treflectedLight.directSpecular += ccIrradiance * material.clearcoat * BRDF_Specular_GGX( directLight, geometry.viewDir, geometry.clearcoatNormal, vec3( DEFAULT_SPECULAR_COEFFICIENT ), material.clearcoatRoughness );\\n\\t#else\\n\\t\\tfloat clearcoatDHR = 0.0;\\n\\t#endif\\n\\t#ifdef USE_SHEEN\\n\\t\\treflectedLight.directSpecular += ( 1.0 - clearcoatDHR ) * irradiance * BRDF_Specular_Sheen(\\n\\t\\t\\tmaterial.specularRoughness,\\n\\t\\t\\tdirectLight.direction,\\n\\t\\t\\tgeometry,\\n\\t\\t\\tmaterial.sheenColor\\n\\t\\t);\\n\\t#else\\n\\t\\treflectedLight.directSpecular += ( 1.0 - clearcoatDHR ) * irradiance * BRDF_Specular_GGX( directLight, geometry.viewDir, geometry.normal, material.specularColor, material.specularRoughness);\\n\\t#endif\\n\\treflectedLight.directDiffuse += ( 1.0 - clearcoatDHR ) * irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {\\n\\t#ifdef CLEARCOAT\\n\\t\\tfloat ccDotNV = saturate( dot( geometry.clearcoatNormal, geometry.viewDir ) );\\n\\t\\treflectedLight.indirectSpecular += clearcoatRadiance * material.clearcoat * BRDF_Specular_GGX_Environment( geometry.viewDir, geometry.clearcoatNormal, vec3( DEFAULT_SPECULAR_COEFFICIENT ), material.clearcoatRoughness );\\n\\t\\tfloat ccDotNL = ccDotNV;\\n\\t\\tfloat clearcoatDHR = material.clearcoat * clearcoatDHRApprox( material.clearcoatRoughness, ccDotNL );\\n\\t#else\\n\\t\\tfloat clearcoatDHR = 0.0;\\n\\t#endif\\n\\tfloat clearcoatInv = 1.0 - clearcoatDHR;\\n\\tvec3 singleScattering = vec3( 0.0 );\\n\\tvec3 multiScattering = vec3( 0.0 );\\n\\tvec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI;\\n\\tBRDF_Specular_Multiscattering_Environment( geometry, material.specularColor, material.specularRoughness, singleScattering, multiScattering );\\n\\tvec3 diffuse = material.diffuseColor * ( 1.0 - ( singleScattering + multiScattering ) );\\n\\treflectedLight.indirectSpecular += clearcoatInv * radiance * singleScattering;\\n\\treflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance;\\n\\treflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance;\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Physical\\n#define RE_Direct_RectArea\\t\\tRE_Direct_RectArea_Physical\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Physical\\n#define RE_IndirectSpecular\\t\\tRE_IndirectSpecular_Physical\\nfloat computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) {\\n\\treturn saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion );\\n}&quot;,\n",
       "lights_fragment_begin:&quot;\\nGeometricContext geometry;\\ngeometry.position = - vViewPosition;\\ngeometry.normal = normal;\\ngeometry.viewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition );\\n#ifdef CLEARCOAT\\n\\tgeometry.clearcoatNormal = clearcoatNormal;\\n#endif\\nIncidentLight directLight;\\n#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct )\\n\\tPointLight pointLight;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0\\n\\tPointLightShadow pointLightShadow;\\n\\t#endif\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\\n\\t\\tpointLight = pointLights[ i ];\\n\\t\\tgetPointDirectLightIrradiance( pointLight, geometry, directLight );\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS )\\n\\t\\tpointLightShadow = pointLightShadows[ i ];\\n\\t\\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0;\\n\\t\\t#endif\\n\\t\\tRE_Direct( directLight, geometry, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct )\\n\\tSpotLight spotLight;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0\\n\\tSpotLightShadow spotLightShadow;\\n\\t#endif\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\\n\\t\\tspotLight = spotLights[ i ];\\n\\t\\tgetSpotDirectLightIrradiance( spotLight, geometry, directLight );\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\n\\t\\tspotLightShadow = spotLightShadows[ i ];\\n\\t\\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotShadowCoord[ i ] ) : 1.0;\\n\\t\\t#endif\\n\\t\\tRE_Direct( directLight, geometry, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct )\\n\\tDirectionalLight directionalLight;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0\\n\\tDirectionalLightShadow directionalLightShadow;\\n\\t#endif\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\\n\\t\\tdirectionalLight = directionalLights[ i ];\\n\\t\\tgetDirectionalDirectLightIrradiance( directionalLight, geometry, directLight );\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS )\\n\\t\\tdirectionalLightShadow = directionalLightShadows[ i ];\\n\\t\\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\n\\t\\t#endif\\n\\t\\tRE_Direct( directLight, geometry, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea )\\n\\tRectAreaLight rectAreaLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) {\\n\\t\\trectAreaLight = rectAreaLights[ i ];\\n\\t\\tRE_Direct_RectArea( rectAreaLight, geometry, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if defined( RE_IndirectDiffuse )\\n\\tvec3 iblIrradiance = vec3( 0.0 );\\n\\tvec3 irradiance = getAmbientLightIrradiance( ambientLightColor );\\n\\tirradiance += getLightProbeIrradiance( lightProbe, geometry );\\n\\t#if ( NUM_HEMI_LIGHTS > 0 )\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\\n\\t\\t\\tirradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometry );\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t#endif\\n#endif\\n#if defined( RE_IndirectSpecular )\\n\\tvec3 radiance = vec3( 0.0 );\\n\\tvec3 clearcoatRadiance = vec3( 0.0 );\\n#endif&quot;,\n",
       "lights_fragment_maps:&quot;#if defined( RE_IndirectDiffuse )\\n\\t#ifdef USE_LIGHTMAP\\n\\t\\tvec4 lightMapTexel= texture2D( lightMap, vUv2 );\\n\\t\\tvec3 lightMapIrradiance = lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\\n\\t\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\n\\t\\t\\tlightMapIrradiance *= PI;\\n\\t\\t#endif\\n\\t\\tirradiance += lightMapIrradiance;\\n\\t#endif\\n\\t#if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV )\\n\\t\\tiblIrradiance += getLightProbeIndirectIrradiance( geometry, maxMipLevel );\\n\\t#endif\\n#endif\\n#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular )\\n\\tradiance += getLightProbeIndirectRadiance( geometry.viewDir, geometry.normal, material.specularRoughness, maxMipLevel );\\n\\t#ifdef CLEARCOAT\\n\\t\\tclearcoatRadiance += getLightProbeIndirectRadiance( geometry.viewDir, geometry.clearcoatNormal, material.clearcoatRoughness, maxMipLevel );\\n\\t#endif\\n#endif&quot;,\n",
       "lights_fragment_end:&quot;#if defined( RE_IndirectDiffuse )\\n\\tRE_IndirectDiffuse( irradiance, geometry, material, reflectedLight );\\n#endif\\n#if defined( RE_IndirectSpecular )\\n\\tRE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometry, material, reflectedLight );\\n#endif&quot;,logdepthbuf_fragment:&quot;#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\n\\tgl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5;\\n#endif&quot;,logdepthbuf_pars_fragment:&quot;#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\n\\tuniform float logDepthBufFC;\\n\\tvarying float vFragDepth;\\n\\tvarying float vIsPerspective;\\n#endif&quot;,\n",
       "logdepthbuf_pars_vertex:&quot;#ifdef USE_LOGDEPTHBUF\\n\\t#ifdef USE_LOGDEPTHBUF_EXT\\n\\t\\tvarying float vFragDepth;\\n\\t\\tvarying float vIsPerspective;\\n\\t#else\\n\\t\\tuniform float logDepthBufFC;\\n\\t#endif\\n#endif&quot;,logdepthbuf_vertex:&quot;#ifdef USE_LOGDEPTHBUF\\n\\t#ifdef USE_LOGDEPTHBUF_EXT\\n\\t\\tvFragDepth = 1.0 + gl_Position.w;\\n\\t\\tvIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) );\\n\\t#else\\n\\t\\tif ( isPerspectiveMatrix( projectionMatrix ) ) {\\n\\t\\t\\tgl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0;\\n\\t\\t\\tgl_Position.z *= gl_Position.w;\\n\\t\\t}\\n\\t#endif\\n#endif&quot;,\n",
       "map_fragment:&quot;#ifdef USE_MAP\\n\\tvec4 texelColor = texture2D( map, vUv );\\n\\ttexelColor = mapTexelToLinear( texelColor );\\n\\tdiffuseColor *= texelColor;\\n#endif&quot;,map_pars_fragment:&quot;#ifdef USE_MAP\\n\\tuniform sampler2D map;\\n#endif&quot;,map_particle_fragment:&quot;#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\n\\tvec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy;\\n#endif\\n#ifdef USE_MAP\\n\\tvec4 mapTexel = texture2D( map, uv );\\n\\tdiffuseColor *= mapTexelToLinear( mapTexel );\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tdiffuseColor.a *= texture2D( alphaMap, uv ).g;\\n#endif&quot;,\n",
       "map_particle_pars_fragment:&quot;#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\n\\tuniform mat3 uvTransform;\\n#endif\\n#ifdef USE_MAP\\n\\tuniform sampler2D map;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tuniform sampler2D alphaMap;\\n#endif&quot;,metalnessmap_fragment:&quot;float metalnessFactor = metalness;\\n#ifdef USE_METALNESSMAP\\n\\tvec4 texelMetalness = texture2D( metalnessMap, vUv );\\n\\tmetalnessFactor *= texelMetalness.b;\\n#endif&quot;,metalnessmap_pars_fragment:&quot;#ifdef USE_METALNESSMAP\\n\\tuniform sampler2D metalnessMap;\\n#endif&quot;,\n",
       "morphnormal_vertex:&quot;#ifdef USE_MORPHNORMALS\\n\\tobjectNormal *= morphTargetBaseInfluence;\\n\\tobjectNormal += morphNormal0 * morphTargetInfluences[ 0 ];\\n\\tobjectNormal += morphNormal1 * morphTargetInfluences[ 1 ];\\n\\tobjectNormal += morphNormal2 * morphTargetInfluences[ 2 ];\\n\\tobjectNormal += morphNormal3 * morphTargetInfluences[ 3 ];\\n#endif&quot;,morphtarget_pars_vertex:&quot;#ifdef USE_MORPHTARGETS\\n\\tuniform float morphTargetBaseInfluence;\\n\\t#ifndef USE_MORPHNORMALS\\n\\tuniform float morphTargetInfluences[ 8 ];\\n\\t#else\\n\\tuniform float morphTargetInfluences[ 4 ];\\n\\t#endif\\n#endif&quot;,\n",
       "morphtarget_vertex:&quot;#ifdef USE_MORPHTARGETS\\n\\ttransformed *= morphTargetBaseInfluence;\\n\\ttransformed += morphTarget0 * morphTargetInfluences[ 0 ];\\n\\ttransformed += morphTarget1 * morphTargetInfluences[ 1 ];\\n\\ttransformed += morphTarget2 * morphTargetInfluences[ 2 ];\\n\\ttransformed += morphTarget3 * morphTargetInfluences[ 3 ];\\n\\t#ifndef USE_MORPHNORMALS\\n\\ttransformed += morphTarget4 * morphTargetInfluences[ 4 ];\\n\\ttransformed += morphTarget5 * morphTargetInfluences[ 5 ];\\n\\ttransformed += morphTarget6 * morphTargetInfluences[ 6 ];\\n\\ttransformed += morphTarget7 * morphTargetInfluences[ 7 ];\\n\\t#endif\\n#endif&quot;,\n",
       "normal_fragment_begin:&quot;#ifdef FLAT_SHADED\\n\\tvec3 fdx = vec3( dFdx( vViewPosition.x ), dFdx( vViewPosition.y ), dFdx( vViewPosition.z ) );\\n\\tvec3 fdy = vec3( dFdy( vViewPosition.x ), dFdy( vViewPosition.y ), dFdy( vViewPosition.z ) );\\n\\tvec3 normal = normalize( cross( fdx, fdy ) );\\n#else\\n\\tvec3 normal = normalize( vNormal );\\n\\t#ifdef DOUBLE_SIDED\\n\\t\\tnormal = normal * ( float( gl_FrontFacing ) * 2.0 - 1.0 );\\n\\t#endif\\n\\t#ifdef USE_TANGENT\\n\\t\\tvec3 tangent = normalize( vTangent );\\n\\t\\tvec3 bitangent = normalize( vBitangent );\\n\\t\\t#ifdef DOUBLE_SIDED\\n\\t\\t\\ttangent = tangent * ( float( gl_FrontFacing ) * 2.0 - 1.0 );\\n\\t\\t\\tbitangent = bitangent * ( float( gl_FrontFacing ) * 2.0 - 1.0 );\\n\\t\\t#endif\\n\\t\\t#if defined( TANGENTSPACE_NORMALMAP ) || defined( USE_CLEARCOAT_NORMALMAP )\\n\\t\\t\\tmat3 vTBN = mat3( tangent, bitangent, normal );\\n\\t\\t#endif\\n\\t#endif\\n#endif\\nvec3 geometryNormal = normal;&quot;,\n",
       "normal_fragment_maps:&quot;#ifdef OBJECTSPACE_NORMALMAP\\n\\tnormal = texture2D( normalMap, vUv ).xyz * 2.0 - 1.0;\\n\\t#ifdef FLIP_SIDED\\n\\t\\tnormal = - normal;\\n\\t#endif\\n\\t#ifdef DOUBLE_SIDED\\n\\t\\tnormal = normal * ( float( gl_FrontFacing ) * 2.0 - 1.0 );\\n\\t#endif\\n\\tnormal = normalize( normalMatrix * normal );\\n#elif defined( TANGENTSPACE_NORMALMAP )\\n\\tvec3 mapN = texture2D( normalMap, vUv ).xyz * 2.0 - 1.0;\\n\\tmapN.xy *= normalScale;\\n\\t#ifdef USE_TANGENT\\n\\t\\tnormal = normalize( vTBN * mapN );\\n\\t#else\\n\\t\\tnormal = perturbNormal2Arb( -vViewPosition, normal, mapN );\\n\\t#endif\\n#elif defined( USE_BUMPMAP )\\n\\tnormal = perturbNormalArb( -vViewPosition, normal, dHdxy_fwd() );\\n#endif&quot;,\n",
       "normalmap_pars_fragment:&quot;#ifdef USE_NORMALMAP\\n\\tuniform sampler2D normalMap;\\n\\tuniform vec2 normalScale;\\n#endif\\n#ifdef OBJECTSPACE_NORMALMAP\\n\\tuniform mat3 normalMatrix;\\n#endif\\n#if ! defined ( USE_TANGENT ) && ( defined ( TANGENTSPACE_NORMALMAP ) || defined ( USE_CLEARCOAT_NORMALMAP ) )\\n\\tvec3 perturbNormal2Arb( vec3 eye_pos, vec3 surf_norm, vec3 mapN ) {\\n\\t\\tvec3 q0 = vec3( dFdx( eye_pos.x ), dFdx( eye_pos.y ), dFdx( eye_pos.z ) );\\n\\t\\tvec3 q1 = vec3( dFdy( eye_pos.x ), dFdy( eye_pos.y ), dFdy( eye_pos.z ) );\\n\\t\\tvec2 st0 = dFdx( vUv.st );\\n\\t\\tvec2 st1 = dFdy( vUv.st );\\n\\t\\tfloat scale = sign( st1.t * st0.s - st0.t * st1.s );\\n\\t\\tvec3 S = normalize( ( q0 * st1.t - q1 * st0.t ) * scale );\\n\\t\\tvec3 T = normalize( ( - q0 * st1.s + q1 * st0.s ) * scale );\\n\\t\\tvec3 N = normalize( surf_norm );\\n\\t\\tmat3 tsn = mat3( S, T, N );\\n\\t\\tmapN.xy *= ( float( gl_FrontFacing ) * 2.0 - 1.0 );\\n\\t\\treturn normalize( tsn * mapN );\\n\\t}\\n#endif&quot;,\n",
       "clearcoat_normal_fragment_begin:&quot;#ifdef CLEARCOAT\\n\\tvec3 clearcoatNormal = geometryNormal;\\n#endif&quot;,clearcoat_normal_fragment_maps:&quot;#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tvec3 clearcoatMapN = texture2D( clearcoatNormalMap, vUv ).xyz * 2.0 - 1.0;\\n\\tclearcoatMapN.xy *= clearcoatNormalScale;\\n\\t#ifdef USE_TANGENT\\n\\t\\tclearcoatNormal = normalize( vTBN * clearcoatMapN );\\n\\t#else\\n\\t\\tclearcoatNormal = perturbNormal2Arb( - vViewPosition, clearcoatNormal, clearcoatMapN );\\n\\t#endif\\n#endif&quot;,clearcoat_pars_fragment:&quot;#ifdef USE_CLEARCOATMAP\\n\\tuniform sampler2D clearcoatMap;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tuniform sampler2D clearcoatRoughnessMap;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tuniform sampler2D clearcoatNormalMap;\\n\\tuniform vec2 clearcoatNormalScale;\\n#endif&quot;,\n",
       "packing:&quot;vec3 packNormalToRGB( const in vec3 normal ) {\\n\\treturn normalize( normal ) * 0.5 + 0.5;\\n}\\nvec3 unpackRGBToNormal( const in vec3 rgb ) {\\n\\treturn 2.0 * rgb.xyz - 1.0;\\n}\\nconst float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;\\nconst vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256.,  256. );\\nconst vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. );\\nconst float ShiftRight8 = 1. / 256.;\\nvec4 packDepthToRGBA( const in float v ) {\\n\\tvec4 r = vec4( fract( v * PackFactors ), v );\\n\\tr.yzw -= r.xyz * ShiftRight8;\\treturn r * PackUpscale;\\n}\\nfloat unpackRGBAToDepth( const in vec4 v ) {\\n\\treturn dot( v, UnpackFactors );\\n}\\nvec4 pack2HalfToRGBA( vec2 v ) {\\n\\tvec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ));\\n\\treturn vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w);\\n}\\nvec2 unpackRGBATo2Half( vec4 v ) {\\n\\treturn vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) );\\n}\\nfloat viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) {\\n\\treturn ( viewZ + near ) / ( near - far );\\n}\\nfloat orthographicDepthToViewZ( const in float linearClipZ, const in float near, const in float far ) {\\n\\treturn linearClipZ * ( near - far ) - near;\\n}\\nfloat viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) {\\n\\treturn (( near + viewZ ) * far ) / (( far - near ) * viewZ );\\n}\\nfloat perspectiveDepthToViewZ( const in float invClipZ, const in float near, const in float far ) {\\n\\treturn ( near * far ) / ( ( far - near ) * invClipZ - far );\\n}&quot;,\n",
       "premultiplied_alpha_fragment:&quot;#ifdef PREMULTIPLIED_ALPHA\\n\\tgl_FragColor.rgb *= gl_FragColor.a;\\n#endif&quot;,project_vertex:&quot;vec4 mvPosition = vec4( transformed, 1.0 );\\n#ifdef USE_INSTANCING\\n\\tmvPosition = instanceMatrix * mvPosition;\\n#endif\\nmvPosition = modelViewMatrix * mvPosition;\\ngl_Position = projectionMatrix * mvPosition;&quot;,dithering_fragment:&quot;#ifdef DITHERING\\n\\tgl_FragColor.rgb = dithering( gl_FragColor.rgb );\\n#endif&quot;,dithering_pars_fragment:&quot;#ifdef DITHERING\\n\\tvec3 dithering( vec3 color ) {\\n\\t\\tfloat grid_position = rand( gl_FragCoord.xy );\\n\\t\\tvec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 );\\n\\t\\tdither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position );\\n\\t\\treturn color + dither_shift_RGB;\\n\\t}\\n#endif&quot;,\n",
       "roughnessmap_fragment:&quot;float roughnessFactor = roughness;\\n#ifdef USE_ROUGHNESSMAP\\n\\tvec4 texelRoughness = texture2D( roughnessMap, vUv );\\n\\troughnessFactor *= texelRoughness.g;\\n#endif&quot;,roughnessmap_pars_fragment:&quot;#ifdef USE_ROUGHNESSMAP\\n\\tuniform sampler2D roughnessMap;\\n#endif&quot;,shadowmap_pars_fragment:&quot;#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\t\\tuniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\t\\tuniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vSpotShadowCoord[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\t\\tuniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\tfloat texture2DCompare( sampler2D depths, vec2 uv, float compare ) {\\n\\t\\treturn step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) );\\n\\t}\\n\\tvec2 texture2DDistribution( sampler2D shadow, vec2 uv ) {\\n\\t\\treturn unpackRGBATo2Half( texture2D( shadow, uv ) );\\n\\t}\\n\\tfloat VSMShadow (sampler2D shadow, vec2 uv, float compare ){\\n\\t\\tfloat occlusion = 1.0;\\n\\t\\tvec2 distribution = texture2DDistribution( shadow, uv );\\n\\t\\tfloat hard_shadow = step( compare , distribution.x );\\n\\t\\tif (hard_shadow != 1.0 ) {\\n\\t\\t\\tfloat distance = compare - distribution.x ;\\n\\t\\t\\tfloat variance = max( 0.00000, distribution.y * distribution.y );\\n\\t\\t\\tfloat softness_probability = variance / (variance + distance * distance );\\t\\t\\tsoftness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 );\\t\\t\\tocclusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 );\\n\\t\\t}\\n\\t\\treturn occlusion;\\n\\t}\\n\\tfloat getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) {\\n\\t\\tfloat shadow = 1.0;\\n\\t\\tshadowCoord.xyz /= shadowCoord.w;\\n\\t\\tshadowCoord.z += shadowBias;\\n\\t\\tbvec4 inFrustumVec = bvec4 ( shadowCoord.x >= 0.0, shadowCoord.x <= 1.0, shadowCoord.y >= 0.0, shadowCoord.y <= 1.0 );\\n\\t\\tbool inFrustum = all( inFrustumVec );\\n\\t\\tbvec2 frustumTestVec = bvec2( inFrustum, shadowCoord.z <= 1.0 );\\n\\t\\tbool frustumTest = all( frustumTestVec );\\n\\t\\tif ( frustumTest ) {\\n\\t\\t#if defined( SHADOWMAP_TYPE_PCF )\\n\\t\\t\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\n\\t\\t\\tfloat dx0 = - texelSize.x * shadowRadius;\\n\\t\\t\\tfloat dy0 = - texelSize.y * shadowRadius;\\n\\t\\t\\tfloat dx1 = + texelSize.x * shadowRadius;\\n\\t\\t\\tfloat dy1 = + texelSize.y * shadowRadius;\\n\\t\\t\\tfloat dx2 = dx0 / 2.0;\\n\\t\\t\\tfloat dy2 = dy0 / 2.0;\\n\\t\\t\\tfloat dx3 = dx1 / 2.0;\\n\\t\\t\\tfloat dy3 = dy1 / 2.0;\\n\\t\\t\\tshadow = (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )\\n\\t\\t\\t) * ( 1.0 / 17.0 );\\n\\t\\t#elif defined( SHADOWMAP_TYPE_PCF_SOFT )\\n\\t\\t\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\n\\t\\t\\tfloat dx = texelSize.x;\\n\\t\\t\\tfloat dy = texelSize.y;\\n\\t\\t\\tvec2 uv = shadowCoord.xy;\\n\\t\\t\\tvec2 f = fract( uv * shadowMapSize + 0.5 );\\n\\t\\t\\tuv -= f * texelSize;\\n\\t\\t\\tshadow = (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv, shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ), \\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.x ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ), \\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.x ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ), \\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.y ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ), \\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.y ) +\\n\\t\\t\\t\\tmix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ), \\n\\t\\t\\t\\t\\t\\t  texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t  f.x ),\\n\\t\\t\\t\\t\\t mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ), \\n\\t\\t\\t\\t\\t\\t  texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t  f.x ),\\n\\t\\t\\t\\t\\t f.y )\\n\\t\\t\\t) * ( 1.0 / 9.0 );\\n\\t\\t#elif defined( SHADOWMAP_TYPE_VSM )\\n\\t\\t\\tshadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z );\\n\\t\\t#else\\n\\t\\t\\tshadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z );\\n\\t\\t#endif\\n\\t\\t}\\n\\t\\treturn shadow;\\n\\t}\\n\\tvec2 cubeToUV( vec3 v, float texelSizeY ) {\\n\\t\\tvec3 absV = abs( v );\\n\\t\\tfloat scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) );\\n\\t\\tabsV *= scaleToCube;\\n\\t\\tv *= scaleToCube * ( 1.0 - 2.0 * texelSizeY );\\n\\t\\tvec2 planar = v.xy;\\n\\t\\tfloat almostATexel = 1.5 * texelSizeY;\\n\\t\\tfloat almostOne = 1.0 - almostATexel;\\n\\t\\tif ( absV.z >= almostOne ) {\\n\\t\\t\\tif ( v.z > 0.0 )\\n\\t\\t\\t\\tplanar.x = 4.0 - v.x;\\n\\t\\t} else if ( absV.x >= almostOne ) {\\n\\t\\t\\tfloat signX = sign( v.x );\\n\\t\\t\\tplanar.x = v.z * signX + 2.0 * signX;\\n\\t\\t} else if ( absV.y >= almostOne ) {\\n\\t\\t\\tfloat signY = sign( v.y );\\n\\t\\t\\tplanar.x = v.x + 2.0 * signY + 2.0;\\n\\t\\t\\tplanar.y = v.z * signY - 2.0;\\n\\t\\t}\\n\\t\\treturn vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 );\\n\\t}\\n\\tfloat getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) {\\n\\t\\tvec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) );\\n\\t\\tvec3 lightToPosition = shadowCoord.xyz;\\n\\t\\tfloat dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear );\\t\\tdp += shadowBias;\\n\\t\\tvec3 bd3D = normalize( lightToPosition );\\n\\t\\t#if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM )\\n\\t\\t\\tvec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y;\\n\\t\\t\\treturn (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp )\\n\\t\\t\\t) * ( 1.0 / 9.0 );\\n\\t\\t#else\\n\\t\\t\\treturn texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp );\\n\\t\\t#endif\\n\\t}\\n#endif&quot;,\n",
       "shadowmap_pars_vertex:&quot;#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\t\\tuniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\t\\tuniform mat4 spotShadowMatrix[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vSpotShadowCoord[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\t\\tuniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t#endif\\n#endif&quot;,\n",
       "shadowmap_vertex:&quot;#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tvDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * worldPosition;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tvSpotShadowCoord[ i ] = spotShadowMatrix[ i ] * worldPosition;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tvPointShadowCoord[ i ] = pointShadowMatrix[ i ] * worldPosition;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n#endif&quot;,\n",
       "shadowmask_pars_fragment:&quot;float getShadowMask() {\\n\\tfloat shadow = 1.0;\\n\\t#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\tDirectionalLightShadow directionalLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tdirectionalLight = directionalLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\tSpotLightShadow spotLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tspotLight = spotLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotShadowCoord[ i ] ) : 1.0;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\tPointLightShadow pointLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tpointLight = pointLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#endif\\n\\treturn shadow;\\n}&quot;,\n",
       "skinbase_vertex:&quot;#ifdef USE_SKINNING\\n\\tmat4 boneMatX = getBoneMatrix( skinIndex.x );\\n\\tmat4 boneMatY = getBoneMatrix( skinIndex.y );\\n\\tmat4 boneMatZ = getBoneMatrix( skinIndex.z );\\n\\tmat4 boneMatW = getBoneMatrix( skinIndex.w );\\n#endif&quot;,skinning_pars_vertex:&quot;#ifdef USE_SKINNING\\n\\tuniform mat4 bindMatrix;\\n\\tuniform mat4 bindMatrixInverse;\\n\\t#ifdef BONE_TEXTURE\\n\\t\\tuniform highp sampler2D boneTexture;\\n\\t\\tuniform int boneTextureSize;\\n\\t\\tmat4 getBoneMatrix( const in float i ) {\\n\\t\\t\\tfloat j = i * 4.0;\\n\\t\\t\\tfloat x = mod( j, float( boneTextureSize ) );\\n\\t\\t\\tfloat y = floor( j / float( boneTextureSize ) );\\n\\t\\t\\tfloat dx = 1.0 / float( boneTextureSize );\\n\\t\\t\\tfloat dy = 1.0 / float( boneTextureSize );\\n\\t\\t\\ty = dy * ( y + 0.5 );\\n\\t\\t\\tvec4 v1 = texture2D( boneTexture, vec2( dx * ( x + 0.5 ), y ) );\\n\\t\\t\\tvec4 v2 = texture2D( boneTexture, vec2( dx * ( x + 1.5 ), y ) );\\n\\t\\t\\tvec4 v3 = texture2D( boneTexture, vec2( dx * ( x + 2.5 ), y ) );\\n\\t\\t\\tvec4 v4 = texture2D( boneTexture, vec2( dx * ( x + 3.5 ), y ) );\\n\\t\\t\\tmat4 bone = mat4( v1, v2, v3, v4 );\\n\\t\\t\\treturn bone;\\n\\t\\t}\\n\\t#else\\n\\t\\tuniform mat4 boneMatrices[ MAX_BONES ];\\n\\t\\tmat4 getBoneMatrix( const in float i ) {\\n\\t\\t\\tmat4 bone = boneMatrices[ int(i) ];\\n\\t\\t\\treturn bone;\\n\\t\\t}\\n\\t#endif\\n#endif&quot;,\n",
       "skinning_vertex:&quot;#ifdef USE_SKINNING\\n\\tvec4 skinVertex = bindMatrix * vec4( transformed, 1.0 );\\n\\tvec4 skinned = vec4( 0.0 );\\n\\tskinned += boneMatX * skinVertex * skinWeight.x;\\n\\tskinned += boneMatY * skinVertex * skinWeight.y;\\n\\tskinned += boneMatZ * skinVertex * skinWeight.z;\\n\\tskinned += boneMatW * skinVertex * skinWeight.w;\\n\\ttransformed = ( bindMatrixInverse * skinned ).xyz;\\n#endif&quot;,skinnormal_vertex:&quot;#ifdef USE_SKINNING\\n\\tmat4 skinMatrix = mat4( 0.0 );\\n\\tskinMatrix += skinWeight.x * boneMatX;\\n\\tskinMatrix += skinWeight.y * boneMatY;\\n\\tskinMatrix += skinWeight.z * boneMatZ;\\n\\tskinMatrix += skinWeight.w * boneMatW;\\n\\tskinMatrix  = bindMatrixInverse * skinMatrix * bindMatrix;\\n\\tobjectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz;\\n\\t#ifdef USE_TANGENT\\n\\t\\tobjectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz;\\n\\t#endif\\n#endif&quot;,\n",
       "specularmap_fragment:&quot;float specularStrength;\\n#ifdef USE_SPECULARMAP\\n\\tvec4 texelSpecular = texture2D( specularMap, vUv );\\n\\tspecularStrength = texelSpecular.r;\\n#else\\n\\tspecularStrength = 1.0;\\n#endif&quot;,specularmap_pars_fragment:&quot;#ifdef USE_SPECULARMAP\\n\\tuniform sampler2D specularMap;\\n#endif&quot;,tonemapping_fragment:&quot;#if defined( TONE_MAPPING )\\n\\tgl_FragColor.rgb = toneMapping( gl_FragColor.rgb );\\n#endif&quot;,tonemapping_pars_fragment:&quot;#ifndef saturate\\n#define saturate(a) clamp( a, 0.0, 1.0 )\\n#endif\\nuniform float toneMappingExposure;\\nuniform float toneMappingWhitePoint;\\nvec3 LinearToneMapping( vec3 color ) {\\n\\treturn toneMappingExposure * color;\\n}\\nvec3 ReinhardToneMapping( vec3 color ) {\\n\\tcolor *= toneMappingExposure;\\n\\treturn saturate( color / ( vec3( 1.0 ) + color ) );\\n}\\n#define Uncharted2Helper( x ) max( ( ( x * ( 0.15 * x + 0.10 * 0.50 ) + 0.20 * 0.02 ) / ( x * ( 0.15 * x + 0.50 ) + 0.20 * 0.30 ) ) - 0.02 / 0.30, vec3( 0.0 ) )\\nvec3 Uncharted2ToneMapping( vec3 color ) {\\n\\tcolor *= toneMappingExposure;\\n\\treturn saturate( Uncharted2Helper( color ) / Uncharted2Helper( vec3( toneMappingWhitePoint ) ) );\\n}\\nvec3 OptimizedCineonToneMapping( vec3 color ) {\\n\\tcolor *= toneMappingExposure;\\n\\tcolor = max( vec3( 0.0 ), color - 0.004 );\\n\\treturn pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) );\\n}\\nvec3 ACESFilmicToneMapping( vec3 color ) {\\n\\tcolor *= toneMappingExposure;\\n\\treturn saturate( ( color * ( 2.51 * color + 0.03 ) ) / ( color * ( 2.43 * color + 0.59 ) + 0.14 ) );\\n}&quot;,\n",
       "uv_pars_fragment:&quot;#if ( defined( USE_UV ) && ! defined( UVS_VERTEX_ONLY ) )\\n\\tvarying vec2 vUv;\\n#endif&quot;,uv_pars_vertex:&quot;#ifdef USE_UV\\n\\t#ifdef UVS_VERTEX_ONLY\\n\\t\\tvec2 vUv;\\n\\t#else\\n\\t\\tvarying vec2 vUv;\\n\\t#endif\\n\\tuniform mat3 uvTransform;\\n#endif&quot;,uv_vertex:&quot;#ifdef USE_UV\\n\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\n#endif&quot;,uv2_pars_fragment:&quot;#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\\n\\tvarying vec2 vUv2;\\n#endif&quot;,uv2_pars_vertex:&quot;#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\\n\\tattribute vec2 uv2;\\n\\tvarying vec2 vUv2;\\n\\tuniform mat3 uv2Transform;\\n#endif&quot;,\n",
       "uv2_vertex:&quot;#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\\n\\tvUv2 = ( uv2Transform * vec3( uv2, 1 ) ).xy;\\n#endif&quot;,worldpos_vertex:&quot;#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP )\\n\\tvec4 worldPosition = vec4( transformed, 1.0 );\\n\\t#ifdef USE_INSTANCING\\n\\t\\tworldPosition = instanceMatrix * worldPosition;\\n\\t#endif\\n\\tworldPosition = modelMatrix * worldPosition;\\n#endif&quot;,background_frag:&quot;uniform sampler2D t2D;\\nvarying vec2 vUv;\\nvoid main() {\\n\\tvec4 texColor = texture2D( t2D, vUv );\\n\\tgl_FragColor = mapTexelToLinear( texColor );\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n}&quot;,\n",
       "background_vert:&quot;varying vec2 vUv;\\nuniform mat3 uvTransform;\\nvoid main() {\\n\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\n\\tgl_Position = vec4( position.xy, 1.0, 1.0 );\\n}&quot;,cube_frag:&quot;#include <envmap_common_pars_fragment>\\nuniform float opacity;\\nvarying vec3 vWorldDirection;\\n#include <cube_uv_reflection_fragment>\\nvoid main() {\\n\\tvec3 vReflect = vWorldDirection;\\n\\t#include <envmap_fragment>\\n\\tgl_FragColor = envColor;\\n\\tgl_FragColor.a *= opacity;\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n}&quot;,\n",
       "cube_vert:&quot;varying vec3 vWorldDirection;\\n#include <common>\\nvoid main() {\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\t#include <begin_vertex>\\n\\t#include <project_vertex>\\n\\tgl_Position.z = gl_Position.w;\\n}&quot;,depth_frag:&quot;#if DEPTH_PACKING == 3200\\n\\tuniform float opacity;\\n#endif\\n#include <common>\\n#include <packing>\\n#include <uv_pars_fragment>\\n#include <map_pars_fragment>\\n#include <alphamap_pars_fragment>\\n#include <logdepthbuf_pars_fragment>\\n#include <clipping_planes_pars_fragment>\\nvarying vec2 vHighPrecisionZW;\\nvoid main() {\\n\\t#include <clipping_planes_fragment>\\n\\tvec4 diffuseColor = vec4( 1.0 );\\n\\t#if DEPTH_PACKING == 3200\\n\\t\\tdiffuseColor.a = opacity;\\n\\t#endif\\n\\t#include <map_fragment>\\n\\t#include <alphamap_fragment>\\n\\t#include <alphatest_fragment>\\n\\t#include <logdepthbuf_fragment>\\n\\tfloat fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5;\\n\\t#if DEPTH_PACKING == 3200\\n\\t\\tgl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity );\\n\\t#elif DEPTH_PACKING == 3201\\n\\t\\tgl_FragColor = packDepthToRGBA( fragCoordZ );\\n\\t#endif\\n}&quot;,\n",
       "depth_vert:&quot;#include <common>\\n#include <uv_pars_vertex>\\n#include <displacementmap_pars_vertex>\\n#include <morphtarget_pars_vertex>\\n#include <skinning_pars_vertex>\\n#include <logdepthbuf_pars_vertex>\\n#include <clipping_planes_pars_vertex>\\nvarying vec2 vHighPrecisionZW;\\nvoid main() {\\n\\t#include <uv_vertex>\\n\\t#include <skinbase_vertex>\\n\\t#ifdef USE_DISPLACEMENTMAP\\n\\t\\t#include <beginnormal_vertex>\\n\\t\\t#include <morphnormal_vertex>\\n\\t\\t#include <skinnormal_vertex>\\n\\t#endif\\n\\t#include <begin_vertex>\\n\\t#include <morphtarget_vertex>\\n\\t#include <skinning_vertex>\\n\\t#include <displacementmap_vertex>\\n\\t#include <project_vertex>\\n\\t#include <logdepthbuf_vertex>\\n\\t#include <clipping_planes_vertex>\\n\\tvHighPrecisionZW = gl_Position.zw;\\n}&quot;,\n",
       "distanceRGBA_frag:&quot;#define DISTANCE\\nuniform vec3 referencePosition;\\nuniform float nearDistance;\\nuniform float farDistance;\\nvarying vec3 vWorldPosition;\\n#include <common>\\n#include <packing>\\n#include <uv_pars_fragment>\\n#include <map_pars_fragment>\\n#include <alphamap_pars_fragment>\\n#include <clipping_planes_pars_fragment>\\nvoid main () {\\n\\t#include <clipping_planes_fragment>\\n\\tvec4 diffuseColor = vec4( 1.0 );\\n\\t#include <map_fragment>\\n\\t#include <alphamap_fragment>\\n\\t#include <alphatest_fragment>\\n\\tfloat dist = length( vWorldPosition - referencePosition );\\n\\tdist = ( dist - nearDistance ) / ( farDistance - nearDistance );\\n\\tdist = saturate( dist );\\n\\tgl_FragColor = packDepthToRGBA( dist );\\n}&quot;,\n",
       "distanceRGBA_vert:&quot;#define DISTANCE\\nvarying vec3 vWorldPosition;\\n#include <common>\\n#include <uv_pars_vertex>\\n#include <displacementmap_pars_vertex>\\n#include <morphtarget_pars_vertex>\\n#include <skinning_pars_vertex>\\n#include <clipping_planes_pars_vertex>\\nvoid main() {\\n\\t#include <uv_vertex>\\n\\t#include <skinbase_vertex>\\n\\t#ifdef USE_DISPLACEMENTMAP\\n\\t\\t#include <beginnormal_vertex>\\n\\t\\t#include <morphnormal_vertex>\\n\\t\\t#include <skinnormal_vertex>\\n\\t#endif\\n\\t#include <begin_vertex>\\n\\t#include <morphtarget_vertex>\\n\\t#include <skinning_vertex>\\n\\t#include <displacementmap_vertex>\\n\\t#include <project_vertex>\\n\\t#include <worldpos_vertex>\\n\\t#include <clipping_planes_vertex>\\n\\tvWorldPosition = worldPosition.xyz;\\n}&quot;,\n",
       "equirect_frag:&quot;uniform sampler2D tEquirect;\\nvarying vec3 vWorldDirection;\\n#include <common>\\nvoid main() {\\n\\tvec3 direction = normalize( vWorldDirection );\\n\\tvec2 sampleUV;\\n\\tsampleUV.y = asin( clamp( direction.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\\n\\tsampleUV.x = atan( direction.z, direction.x ) * RECIPROCAL_PI2 + 0.5;\\n\\tvec4 texColor = texture2D( tEquirect, sampleUV );\\n\\tgl_FragColor = mapTexelToLinear( texColor );\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n}&quot;,\n",
       "equirect_vert:&quot;varying vec3 vWorldDirection;\\n#include <common>\\nvoid main() {\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\t#include <begin_vertex>\\n\\t#include <project_vertex>\\n}&quot;,linedashed_frag:&quot;uniform vec3 diffuse;\\nuniform float opacity;\\nuniform float dashSize;\\nuniform float totalSize;\\nvarying float vLineDistance;\\n#include <common>\\n#include <color_pars_fragment>\\n#include <fog_pars_fragment>\\n#include <logdepthbuf_pars_fragment>\\n#include <clipping_planes_pars_fragment>\\nvoid main() {\\n\\t#include <clipping_planes_fragment>\\n\\tif ( mod( vLineDistance, totalSize ) > dashSize ) {\\n\\t\\tdiscard;\\n\\t}\\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include <logdepthbuf_fragment>\\n\\t#include <color_fragment>\\n\\toutgoingLight = diffuseColor.rgb;\\n\\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n\\t#include <fog_fragment>\\n\\t#include <premultiplied_alpha_fragment>\\n}&quot;,\n",
       "linedashed_vert:&quot;uniform float scale;\\nattribute float lineDistance;\\nvarying float vLineDistance;\\n#include <common>\\n#include <color_pars_vertex>\\n#include <fog_pars_vertex>\\n#include <logdepthbuf_pars_vertex>\\n#include <clipping_planes_pars_vertex>\\nvoid main() {\\n\\tvLineDistance = scale * lineDistance;\\n\\t#include <color_vertex>\\n\\t#include <begin_vertex>\\n\\t#include <project_vertex>\\n\\t#include <logdepthbuf_vertex>\\n\\t#include <clipping_planes_vertex>\\n\\t#include <fog_vertex>\\n}&quot;,meshbasic_frag:&quot;uniform vec3 diffuse;\\nuniform float opacity;\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n#endif\\n#include <common>\\n#include <color_pars_fragment>\\n#include <uv_pars_fragment>\\n#include <uv2_pars_fragment>\\n#include <map_pars_fragment>\\n#include <alphamap_pars_fragment>\\n#include <aomap_pars_fragment>\\n#include <lightmap_pars_fragment>\\n#include <envmap_common_pars_fragment>\\n#include <envmap_pars_fragment>\\n#include <cube_uv_reflection_fragment>\\n#include <fog_pars_fragment>\\n#include <specularmap_pars_fragment>\\n#include <logdepthbuf_pars_fragment>\\n#include <clipping_planes_pars_fragment>\\nvoid main() {\\n\\t#include <clipping_planes_fragment>\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include <logdepthbuf_fragment>\\n\\t#include <map_fragment>\\n\\t#include <color_fragment>\\n\\t#include <alphamap_fragment>\\n\\t#include <alphatest_fragment>\\n\\t#include <specularmap_fragment>\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\t#ifdef USE_LIGHTMAP\\n\\t\\n\\t\\tvec4 lightMapTexel= texture2D( lightMap, vUv2 );\\n\\t\\treflectedLight.indirectDiffuse += lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\\n\\t#else\\n\\t\\treflectedLight.indirectDiffuse += vec3( 1.0 );\\n\\t#endif\\n\\t#include <aomap_fragment>\\n\\treflectedLight.indirectDiffuse *= diffuseColor.rgb;\\n\\tvec3 outgoingLight = reflectedLight.indirectDiffuse;\\n\\t#include <envmap_fragment>\\n\\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n\\t#include <fog_fragment>\\n\\t#include <premultiplied_alpha_fragment>\\n}&quot;,\n",
       "meshbasic_vert:&quot;#include <common>\\n#include <uv_pars_vertex>\\n#include <uv2_pars_vertex>\\n#include <envmap_pars_vertex>\\n#include <color_pars_vertex>\\n#include <fog_pars_vertex>\\n#include <morphtarget_pars_vertex>\\n#include <skinning_pars_vertex>\\n#include <logdepthbuf_pars_vertex>\\n#include <clipping_planes_pars_vertex>\\nvoid main() {\\n\\t#include <uv_vertex>\\n\\t#include <uv2_vertex>\\n\\t#include <color_vertex>\\n\\t#include <skinbase_vertex>\\n\\t#ifdef USE_ENVMAP\\n\\t#include <beginnormal_vertex>\\n\\t#include <morphnormal_vertex>\\n\\t#include <skinnormal_vertex>\\n\\t#include <defaultnormal_vertex>\\n\\t#endif\\n\\t#include <begin_vertex>\\n\\t#include <morphtarget_vertex>\\n\\t#include <skinning_vertex>\\n\\t#include <project_vertex>\\n\\t#include <logdepthbuf_vertex>\\n\\t#include <worldpos_vertex>\\n\\t#include <clipping_planes_vertex>\\n\\t#include <envmap_vertex>\\n\\t#include <fog_vertex>\\n}&quot;,\n",
       "meshlambert_frag:&quot;uniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float opacity;\\nvarying vec3 vLightFront;\\nvarying vec3 vIndirectFront;\\n#ifdef DOUBLE_SIDED\\n\\tvarying vec3 vLightBack;\\n\\tvarying vec3 vIndirectBack;\\n#endif\\n#include <common>\\n#include <packing>\\n#include <dithering_pars_fragment>\\n#include <color_pars_fragment>\\n#include <uv_pars_fragment>\\n#include <uv2_pars_fragment>\\n#include <map_pars_fragment>\\n#include <alphamap_pars_fragment>\\n#include <aomap_pars_fragment>\\n#include <lightmap_pars_fragment>\\n#include <emissivemap_pars_fragment>\\n#include <envmap_common_pars_fragment>\\n#include <envmap_pars_fragment>\\n#include <cube_uv_reflection_fragment>\\n#include <bsdfs>\\n#include <lights_pars_begin>\\n#include <fog_pars_fragment>\\n#include <shadowmap_pars_fragment>\\n#include <shadowmask_pars_fragment>\\n#include <specularmap_pars_fragment>\\n#include <logdepthbuf_pars_fragment>\\n#include <clipping_planes_pars_fragment>\\nvoid main() {\\n\\t#include <clipping_planes_fragment>\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include <logdepthbuf_fragment>\\n\\t#include <map_fragment>\\n\\t#include <color_fragment>\\n\\t#include <alphamap_fragment>\\n\\t#include <alphatest_fragment>\\n\\t#include <specularmap_fragment>\\n\\t#include <emissivemap_fragment>\\n\\treflectedLight.indirectDiffuse = getAmbientLightIrradiance( ambientLightColor );\\n\\t#ifdef DOUBLE_SIDED\\n\\t\\treflectedLight.indirectDiffuse += ( gl_FrontFacing ) ? vIndirectFront : vIndirectBack;\\n\\t#else\\n\\t\\treflectedLight.indirectDiffuse += vIndirectFront;\\n\\t#endif\\n\\t#include <lightmap_fragment>\\n\\treflectedLight.indirectDiffuse *= BRDF_Diffuse_Lambert( diffuseColor.rgb );\\n\\t#ifdef DOUBLE_SIDED\\n\\t\\treflectedLight.directDiffuse = ( gl_FrontFacing ) ? vLightFront : vLightBack;\\n\\t#else\\n\\t\\treflectedLight.directDiffuse = vLightFront;\\n\\t#endif\\n\\treflectedLight.directDiffuse *= BRDF_Diffuse_Lambert( diffuseColor.rgb ) * getShadowMask();\\n\\t#include <aomap_fragment>\\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\n\\t#include <envmap_fragment>\\n\\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n\\t#include <fog_fragment>\\n\\t#include <premultiplied_alpha_fragment>\\n\\t#include <dithering_fragment>\\n}&quot;,\n",
       "meshlambert_vert:&quot;#define LAMBERT\\nvarying vec3 vLightFront;\\nvarying vec3 vIndirectFront;\\n#ifdef DOUBLE_SIDED\\n\\tvarying vec3 vLightBack;\\n\\tvarying vec3 vIndirectBack;\\n#endif\\n#include <common>\\n#include <uv_pars_vertex>\\n#include <uv2_pars_vertex>\\n#include <envmap_pars_vertex>\\n#include <bsdfs>\\n#include <lights_pars_begin>\\n#include <color_pars_vertex>\\n#include <fog_pars_vertex>\\n#include <morphtarget_pars_vertex>\\n#include <skinning_pars_vertex>\\n#include <shadowmap_pars_vertex>\\n#include <logdepthbuf_pars_vertex>\\n#include <clipping_planes_pars_vertex>\\nvoid main() {\\n\\t#include <uv_vertex>\\n\\t#include <uv2_vertex>\\n\\t#include <color_vertex>\\n\\t#include <beginnormal_vertex>\\n\\t#include <morphnormal_vertex>\\n\\t#include <skinbase_vertex>\\n\\t#include <skinnormal_vertex>\\n\\t#include <defaultnormal_vertex>\\n\\t#include <begin_vertex>\\n\\t#include <morphtarget_vertex>\\n\\t#include <skinning_vertex>\\n\\t#include <project_vertex>\\n\\t#include <logdepthbuf_vertex>\\n\\t#include <clipping_planes_vertex>\\n\\t#include <worldpos_vertex>\\n\\t#include <envmap_vertex>\\n\\t#include <lights_lambert_vertex>\\n\\t#include <shadowmap_vertex>\\n\\t#include <fog_vertex>\\n}&quot;,\n",
       "meshmatcap_frag:&quot;#define MATCAP\\nuniform vec3 diffuse;\\nuniform float opacity;\\nuniform sampler2D matcap;\\nvarying vec3 vViewPosition;\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n#endif\\n#include <common>\\n#include <color_pars_fragment>\\n#include <uv_pars_fragment>\\n#include <map_pars_fragment>\\n#include <alphamap_pars_fragment>\\n#include <fog_pars_fragment>\\n#include <bumpmap_pars_fragment>\\n#include <normalmap_pars_fragment>\\n#include <logdepthbuf_pars_fragment>\\n#include <clipping_planes_pars_fragment>\\nvoid main() {\\n\\t#include <clipping_planes_fragment>\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include <logdepthbuf_fragment>\\n\\t#include <map_fragment>\\n\\t#include <color_fragment>\\n\\t#include <alphamap_fragment>\\n\\t#include <alphatest_fragment>\\n\\t#include <normal_fragment_begin>\\n\\t#include <normal_fragment_maps>\\n\\tvec3 viewDir = normalize( vViewPosition );\\n\\tvec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) );\\n\\tvec3 y = cross( viewDir, x );\\n\\tvec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5;\\n\\t#ifdef USE_MATCAP\\n\\t\\tvec4 matcapColor = texture2D( matcap, uv );\\n\\t\\tmatcapColor = matcapTexelToLinear( matcapColor );\\n\\t#else\\n\\t\\tvec4 matcapColor = vec4( 1.0 );\\n\\t#endif\\n\\tvec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb;\\n\\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n\\t#include <fog_fragment>\\n\\t#include <premultiplied_alpha_fragment>\\n}&quot;,\n",
       "meshmatcap_vert:&quot;#define MATCAP\\nvarying vec3 vViewPosition;\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n#endif\\n#include <common>\\n#include <uv_pars_vertex>\\n#include <color_pars_vertex>\\n#include <displacementmap_pars_vertex>\\n#include <fog_pars_vertex>\\n#include <morphtarget_pars_vertex>\\n#include <skinning_pars_vertex>\\n#include <logdepthbuf_pars_vertex>\\n#include <clipping_planes_pars_vertex>\\nvoid main() {\\n\\t#include <uv_vertex>\\n\\t#include <color_vertex>\\n\\t#include <beginnormal_vertex>\\n\\t#include <morphnormal_vertex>\\n\\t#include <skinbase_vertex>\\n\\t#include <skinnormal_vertex>\\n\\t#include <defaultnormal_vertex>\\n\\t#ifndef FLAT_SHADED\\n\\t\\tvNormal = normalize( transformedNormal );\\n\\t#endif\\n\\t#include <begin_vertex>\\n\\t#include <morphtarget_vertex>\\n\\t#include <skinning_vertex>\\n\\t#include <displacementmap_vertex>\\n\\t#include <project_vertex>\\n\\t#include <logdepthbuf_vertex>\\n\\t#include <clipping_planes_vertex>\\n\\t#include <fog_vertex>\\n\\tvViewPosition = - mvPosition.xyz;\\n}&quot;,\n",
       "meshtoon_frag:&quot;#define TOON\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform vec3 specular;\\nuniform float shininess;\\nuniform float opacity;\\n#include <common>\\n#include <packing>\\n#include <dithering_pars_fragment>\\n#include <color_pars_fragment>\\n#include <uv_pars_fragment>\\n#include <uv2_pars_fragment>\\n#include <map_pars_fragment>\\n#include <alphamap_pars_fragment>\\n#include <aomap_pars_fragment>\\n#include <lightmap_pars_fragment>\\n#include <emissivemap_pars_fragment>\\n#include <gradientmap_pars_fragment>\\n#include <fog_pars_fragment>\\n#include <bsdfs>\\n#include <lights_pars_begin>\\n#include <lights_toon_pars_fragment>\\n#include <shadowmap_pars_fragment>\\n#include <bumpmap_pars_fragment>\\n#include <normalmap_pars_fragment>\\n#include <specularmap_pars_fragment>\\n#include <logdepthbuf_pars_fragment>\\n#include <clipping_planes_pars_fragment>\\nvoid main() {\\n\\t#include <clipping_planes_fragment>\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include <logdepthbuf_fragment>\\n\\t#include <map_fragment>\\n\\t#include <color_fragment>\\n\\t#include <alphamap_fragment>\\n\\t#include <alphatest_fragment>\\n\\t#include <specularmap_fragment>\\n\\t#include <normal_fragment_begin>\\n\\t#include <normal_fragment_maps>\\n\\t#include <emissivemap_fragment>\\n\\t#include <lights_toon_fragment>\\n\\t#include <lights_fragment_begin>\\n\\t#include <lights_fragment_maps>\\n\\t#include <lights_fragment_end>\\n\\t#include <aomap_fragment>\\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\\n\\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n\\t#include <fog_fragment>\\n\\t#include <premultiplied_alpha_fragment>\\n\\t#include <dithering_fragment>\\n}&quot;,\n",
       "meshtoon_vert:&quot;#define TOON\\nvarying vec3 vViewPosition;\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n#endif\\n#include <common>\\n#include <uv_pars_vertex>\\n#include <uv2_pars_vertex>\\n#include <displacementmap_pars_vertex>\\n#include <color_pars_vertex>\\n#include <fog_pars_vertex>\\n#include <morphtarget_pars_vertex>\\n#include <skinning_pars_vertex>\\n#include <shadowmap_pars_vertex>\\n#include <logdepthbuf_pars_vertex>\\n#include <clipping_planes_pars_vertex>\\nvoid main() {\\n\\t#include <uv_vertex>\\n\\t#include <uv2_vertex>\\n\\t#include <color_vertex>\\n\\t#include <beginnormal_vertex>\\n\\t#include <morphnormal_vertex>\\n\\t#include <skinbase_vertex>\\n\\t#include <skinnormal_vertex>\\n\\t#include <defaultnormal_vertex>\\n#ifndef FLAT_SHADED\\n\\tvNormal = normalize( transformedNormal );\\n#endif\\n\\t#include <begin_vertex>\\n\\t#include <morphtarget_vertex>\\n\\t#include <skinning_vertex>\\n\\t#include <displacementmap_vertex>\\n\\t#include <project_vertex>\\n\\t#include <logdepthbuf_vertex>\\n\\t#include <clipping_planes_vertex>\\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include <worldpos_vertex>\\n\\t#include <shadowmap_vertex>\\n\\t#include <fog_vertex>\\n}&quot;,\n",
       "meshphong_frag:&quot;#define PHONG\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform vec3 specular;\\nuniform float shininess;\\nuniform float opacity;\\n#include <common>\\n#include <packing>\\n#include <dithering_pars_fragment>\\n#include <color_pars_fragment>\\n#include <uv_pars_fragment>\\n#include <uv2_pars_fragment>\\n#include <map_pars_fragment>\\n#include <alphamap_pars_fragment>\\n#include <aomap_pars_fragment>\\n#include <lightmap_pars_fragment>\\n#include <emissivemap_pars_fragment>\\n#include <envmap_common_pars_fragment>\\n#include <envmap_pars_fragment>\\n#include <cube_uv_reflection_fragment>\\n#include <fog_pars_fragment>\\n#include <bsdfs>\\n#include <lights_pars_begin>\\n#include <lights_phong_pars_fragment>\\n#include <shadowmap_pars_fragment>\\n#include <bumpmap_pars_fragment>\\n#include <normalmap_pars_fragment>\\n#include <specularmap_pars_fragment>\\n#include <logdepthbuf_pars_fragment>\\n#include <clipping_planes_pars_fragment>\\nvoid main() {\\n\\t#include <clipping_planes_fragment>\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include <logdepthbuf_fragment>\\n\\t#include <map_fragment>\\n\\t#include <color_fragment>\\n\\t#include <alphamap_fragment>\\n\\t#include <alphatest_fragment>\\n\\t#include <specularmap_fragment>\\n\\t#include <normal_fragment_begin>\\n\\t#include <normal_fragment_maps>\\n\\t#include <emissivemap_fragment>\\n\\t#include <lights_phong_fragment>\\n\\t#include <lights_fragment_begin>\\n\\t#include <lights_fragment_maps>\\n\\t#include <lights_fragment_end>\\n\\t#include <aomap_fragment>\\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\\n\\t#include <envmap_fragment>\\n\\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n\\t#include <fog_fragment>\\n\\t#include <premultiplied_alpha_fragment>\\n\\t#include <dithering_fragment>\\n}&quot;,\n",
       "meshphong_vert:&quot;#define PHONG\\nvarying vec3 vViewPosition;\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n#endif\\n#include <common>\\n#include <uv_pars_vertex>\\n#include <uv2_pars_vertex>\\n#include <displacementmap_pars_vertex>\\n#include <envmap_pars_vertex>\\n#include <color_pars_vertex>\\n#include <fog_pars_vertex>\\n#include <morphtarget_pars_vertex>\\n#include <skinning_pars_vertex>\\n#include <shadowmap_pars_vertex>\\n#include <logdepthbuf_pars_vertex>\\n#include <clipping_planes_pars_vertex>\\nvoid main() {\\n\\t#include <uv_vertex>\\n\\t#include <uv2_vertex>\\n\\t#include <color_vertex>\\n\\t#include <beginnormal_vertex>\\n\\t#include <morphnormal_vertex>\\n\\t#include <skinbase_vertex>\\n\\t#include <skinnormal_vertex>\\n\\t#include <defaultnormal_vertex>\\n#ifndef FLAT_SHADED\\n\\tvNormal = normalize( transformedNormal );\\n#endif\\n\\t#include <begin_vertex>\\n\\t#include <morphtarget_vertex>\\n\\t#include <skinning_vertex>\\n\\t#include <displacementmap_vertex>\\n\\t#include <project_vertex>\\n\\t#include <logdepthbuf_vertex>\\n\\t#include <clipping_planes_vertex>\\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include <worldpos_vertex>\\n\\t#include <envmap_vertex>\\n\\t#include <shadowmap_vertex>\\n\\t#include <fog_vertex>\\n}&quot;,\n",
       "meshphysical_frag:&quot;#define STANDARD\\n#ifdef PHYSICAL\\n\\t#define REFLECTIVITY\\n\\t#define CLEARCOAT\\n\\t#define TRANSPARENCY\\n#endif\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float roughness;\\nuniform float metalness;\\nuniform float opacity;\\n#ifdef TRANSPARENCY\\n\\tuniform float transparency;\\n#endif\\n#ifdef REFLECTIVITY\\n\\tuniform float reflectivity;\\n#endif\\n#ifdef CLEARCOAT\\n\\tuniform float clearcoat;\\n\\tuniform float clearcoatRoughness;\\n#endif\\n#ifdef USE_SHEEN\\n\\tuniform vec3 sheen;\\n#endif\\nvarying vec3 vViewPosition;\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\tvarying vec3 vTangent;\\n\\t\\tvarying vec3 vBitangent;\\n\\t#endif\\n#endif\\n#include <common>\\n#include <packing>\\n#include <dithering_pars_fragment>\\n#include <color_pars_fragment>\\n#include <uv_pars_fragment>\\n#include <uv2_pars_fragment>\\n#include <map_pars_fragment>\\n#include <alphamap_pars_fragment>\\n#include <aomap_pars_fragment>\\n#include <lightmap_pars_fragment>\\n#include <emissivemap_pars_fragment>\\n#include <bsdfs>\\n#include <cube_uv_reflection_fragment>\\n#include <envmap_common_pars_fragment>\\n#include <envmap_physical_pars_fragment>\\n#include <fog_pars_fragment>\\n#include <lights_pars_begin>\\n#include <lights_physical_pars_fragment>\\n#include <shadowmap_pars_fragment>\\n#include <bumpmap_pars_fragment>\\n#include <normalmap_pars_fragment>\\n#include <clearcoat_pars_fragment>\\n#include <roughnessmap_pars_fragment>\\n#include <metalnessmap_pars_fragment>\\n#include <logdepthbuf_pars_fragment>\\n#include <clipping_planes_pars_fragment>\\nvoid main() {\\n\\t#include <clipping_planes_fragment>\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include <logdepthbuf_fragment>\\n\\t#include <map_fragment>\\n\\t#include <color_fragment>\\n\\t#include <alphamap_fragment>\\n\\t#include <alphatest_fragment>\\n\\t#include <roughnessmap_fragment>\\n\\t#include <metalnessmap_fragment>\\n\\t#include <normal_fragment_begin>\\n\\t#include <normal_fragment_maps>\\n\\t#include <clearcoat_normal_fragment_begin>\\n\\t#include <clearcoat_normal_fragment_maps>\\n\\t#include <emissivemap_fragment>\\n\\t#include <lights_physical_fragment>\\n\\t#include <lights_fragment_begin>\\n\\t#include <lights_fragment_maps>\\n\\t#include <lights_fragment_end>\\n\\t#include <aomap_fragment>\\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\\n\\t#ifdef TRANSPARENCY\\n\\t\\tdiffuseColor.a *= saturate( 1. - transparency + linearToRelativeLuminance( reflectedLight.directSpecular + reflectedLight.indirectSpecular ) );\\n\\t#endif\\n\\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n\\t#include <fog_fragment>\\n\\t#include <premultiplied_alpha_fragment>\\n\\t#include <dithering_fragment>\\n}&quot;,\n",
       "meshphysical_vert:&quot;#define STANDARD\\nvarying vec3 vViewPosition;\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\tvarying vec3 vTangent;\\n\\t\\tvarying vec3 vBitangent;\\n\\t#endif\\n#endif\\n#include <common>\\n#include <uv_pars_vertex>\\n#include <uv2_pars_vertex>\\n#include <displacementmap_pars_vertex>\\n#include <color_pars_vertex>\\n#include <fog_pars_vertex>\\n#include <morphtarget_pars_vertex>\\n#include <skinning_pars_vertex>\\n#include <shadowmap_pars_vertex>\\n#include <logdepthbuf_pars_vertex>\\n#include <clipping_planes_pars_vertex>\\nvoid main() {\\n\\t#include <uv_vertex>\\n\\t#include <uv2_vertex>\\n\\t#include <color_vertex>\\n\\t#include <beginnormal_vertex>\\n\\t#include <morphnormal_vertex>\\n\\t#include <skinbase_vertex>\\n\\t#include <skinnormal_vertex>\\n\\t#include <defaultnormal_vertex>\\n#ifndef FLAT_SHADED\\n\\tvNormal = normalize( transformedNormal );\\n\\t#ifdef USE_TANGENT\\n\\t\\tvTangent = normalize( transformedTangent );\\n\\t\\tvBitangent = normalize( cross( vNormal, vTangent ) * tangent.w );\\n\\t#endif\\n#endif\\n\\t#include <begin_vertex>\\n\\t#include <morphtarget_vertex>\\n\\t#include <skinning_vertex>\\n\\t#include <displacementmap_vertex>\\n\\t#include <project_vertex>\\n\\t#include <logdepthbuf_vertex>\\n\\t#include <clipping_planes_vertex>\\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include <worldpos_vertex>\\n\\t#include <shadowmap_vertex>\\n\\t#include <fog_vertex>\\n}&quot;,\n",
       "normal_frag:&quot;#define NORMAL\\nuniform float opacity;\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( TANGENTSPACE_NORMALMAP )\\n\\tvarying vec3 vViewPosition;\\n#endif\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\tvarying vec3 vTangent;\\n\\t\\tvarying vec3 vBitangent;\\n\\t#endif\\n#endif\\n#include <packing>\\n#include <uv_pars_fragment>\\n#include <bumpmap_pars_fragment>\\n#include <normalmap_pars_fragment>\\n#include <logdepthbuf_pars_fragment>\\n#include <clipping_planes_pars_fragment>\\nvoid main() {\\n\\t#include <clipping_planes_fragment>\\n\\t#include <logdepthbuf_fragment>\\n\\t#include <normal_fragment_begin>\\n\\t#include <normal_fragment_maps>\\n\\tgl_FragColor = vec4( packNormalToRGB( normal ), opacity );\\n}&quot;,\n",
       "normal_vert:&quot;#define NORMAL\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( TANGENTSPACE_NORMALMAP )\\n\\tvarying vec3 vViewPosition;\\n#endif\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\tvarying vec3 vTangent;\\n\\t\\tvarying vec3 vBitangent;\\n\\t#endif\\n#endif\\n#include <common>\\n#include <uv_pars_vertex>\\n#include <displacementmap_pars_vertex>\\n#include <morphtarget_pars_vertex>\\n#include <skinning_pars_vertex>\\n#include <logdepthbuf_pars_vertex>\\n#include <clipping_planes_pars_vertex>\\nvoid main() {\\n\\t#include <uv_vertex>\\n\\t#include <beginnormal_vertex>\\n\\t#include <morphnormal_vertex>\\n\\t#include <skinbase_vertex>\\n\\t#include <skinnormal_vertex>\\n\\t#include <defaultnormal_vertex>\\n#ifndef FLAT_SHADED\\n\\tvNormal = normalize( transformedNormal );\\n\\t#ifdef USE_TANGENT\\n\\t\\tvTangent = normalize( transformedTangent );\\n\\t\\tvBitangent = normalize( cross( vNormal, vTangent ) * tangent.w );\\n\\t#endif\\n#endif\\n\\t#include <begin_vertex>\\n\\t#include <morphtarget_vertex>\\n\\t#include <skinning_vertex>\\n\\t#include <displacementmap_vertex>\\n\\t#include <project_vertex>\\n\\t#include <logdepthbuf_vertex>\\n\\t#include <clipping_planes_vertex>\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( TANGENTSPACE_NORMALMAP )\\n\\tvViewPosition = - mvPosition.xyz;\\n#endif\\n}&quot;,\n",
       "points_frag:&quot;uniform vec3 diffuse;\\nuniform float opacity;\\n#include <common>\\n#include <color_pars_fragment>\\n#include <map_particle_pars_fragment>\\n#include <fog_pars_fragment>\\n#include <logdepthbuf_pars_fragment>\\n#include <clipping_planes_pars_fragment>\\nvoid main() {\\n\\t#include <clipping_planes_fragment>\\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include <logdepthbuf_fragment>\\n\\t#include <map_particle_fragment>\\n\\t#include <color_fragment>\\n\\t#include <alphatest_fragment>\\n\\toutgoingLight = diffuseColor.rgb;\\n\\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n\\t#include <fog_fragment>\\n\\t#include <premultiplied_alpha_fragment>\\n}&quot;,\n",
       "points_vert:&quot;uniform float size;\\nuniform float scale;\\n#include <common>\\n#include <color_pars_vertex>\\n#include <fog_pars_vertex>\\n#include <morphtarget_pars_vertex>\\n#include <logdepthbuf_pars_vertex>\\n#include <clipping_planes_pars_vertex>\\nvoid main() {\\n\\t#include <color_vertex>\\n\\t#include <begin_vertex>\\n\\t#include <morphtarget_vertex>\\n\\t#include <project_vertex>\\n\\tgl_PointSize = size;\\n\\t#ifdef USE_SIZEATTENUATION\\n\\t\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\n\\t\\tif ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );\\n\\t#endif\\n\\t#include <logdepthbuf_vertex>\\n\\t#include <clipping_planes_vertex>\\n\\t#include <worldpos_vertex>\\n\\t#include <fog_vertex>\\n}&quot;,\n",
       "shadow_frag:&quot;uniform vec3 color;\\nuniform float opacity;\\n#include <common>\\n#include <packing>\\n#include <fog_pars_fragment>\\n#include <bsdfs>\\n#include <lights_pars_begin>\\n#include <shadowmap_pars_fragment>\\n#include <shadowmask_pars_fragment>\\nvoid main() {\\n\\tgl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) );\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n\\t#include <fog_fragment>\\n}&quot;,shadow_vert:&quot;#include <fog_pars_vertex>\\n#include <shadowmap_pars_vertex>\\nvoid main() {\\n\\t#include <begin_vertex>\\n\\t#include <project_vertex>\\n\\t#include <worldpos_vertex>\\n\\t#include <shadowmap_vertex>\\n\\t#include <fog_vertex>\\n}&quot;,\n",
       "sprite_frag:&quot;uniform vec3 diffuse;\\nuniform float opacity;\\n#include <common>\\n#include <uv_pars_fragment>\\n#include <map_pars_fragment>\\n#include <alphamap_pars_fragment>\\n#include <fog_pars_fragment>\\n#include <logdepthbuf_pars_fragment>\\n#include <clipping_planes_pars_fragment>\\nvoid main() {\\n\\t#include <clipping_planes_fragment>\\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include <logdepthbuf_fragment>\\n\\t#include <map_fragment>\\n\\t#include <alphamap_fragment>\\n\\t#include <alphatest_fragment>\\n\\toutgoingLight = diffuseColor.rgb;\\n\\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\\n\\t#include <tonemapping_fragment>\\n\\t#include <encodings_fragment>\\n\\t#include <fog_fragment>\\n}&quot;,\n",
       "sprite_vert:&quot;uniform float rotation;\\nuniform vec2 center;\\n#include <common>\\n#include <uv_pars_vertex>\\n#include <fog_pars_vertex>\\n#include <logdepthbuf_pars_vertex>\\n#include <clipping_planes_pars_vertex>\\nvoid main() {\\n\\t#include <uv_vertex>\\n\\tvec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 );\\n\\tvec2 scale;\\n\\tscale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) );\\n\\tscale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) );\\n\\t#ifndef USE_SIZEATTENUATION\\n\\t\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\n\\t\\tif ( isPerspective ) scale *= - mvPosition.z;\\n\\t#endif\\n\\tvec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale;\\n\\tvec2 rotatedPosition;\\n\\trotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y;\\n\\trotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y;\\n\\tmvPosition.xy += rotatedPosition;\\n\\tgl_Position = projectionMatrix * mvPosition;\\n\\t#include <logdepthbuf_vertex>\\n\\t#include <clipping_planes_vertex>\\n\\t#include <fog_vertex>\\n}&quot;},\n",
       "eb={basic:{uniforms:va([D.common,D.specularmap,D.envmap,D.aomap,D.lightmap,D.fog]),vertexShader:O.meshbasic_vert,fragmentShader:O.meshbasic_frag},lambert:{uniforms:va([D.common,D.specularmap,D.envmap,D.aomap,D.lightmap,D.emissivemap,D.fog,D.lights,{emissive:{value:new A(0)}}]),vertexShader:O.meshlambert_vert,fragmentShader:O.meshlambert_frag},phong:{uniforms:va([D.common,D.specularmap,D.envmap,D.aomap,D.lightmap,D.emissivemap,D.bumpmap,D.normalmap,D.displacementmap,D.fog,D.lights,{emissive:{value:new A(0)},\n",
       "specular:{value:new A(1118481)},shininess:{value:30}}]),vertexShader:O.meshphong_vert,fragmentShader:O.meshphong_frag},standard:{uniforms:va([D.common,D.envmap,D.aomap,D.lightmap,D.emissivemap,D.bumpmap,D.normalmap,D.displacementmap,D.roughnessmap,D.metalnessmap,D.fog,D.lights,{emissive:{value:new A(0)},roughness:{value:.5},metalness:{value:.5},envMapIntensity:{value:1}}]),vertexShader:O.meshphysical_vert,fragmentShader:O.meshphysical_frag},toon:{uniforms:va([D.common,D.specularmap,D.aomap,D.lightmap,\n",
       "D.emissivemap,D.bumpmap,D.normalmap,D.displacementmap,D.gradientmap,D.fog,D.lights,{emissive:{value:new A(0)},specular:{value:new A(1118481)},shininess:{value:30}}]),vertexShader:O.meshtoon_vert,fragmentShader:O.meshtoon_frag},matcap:{uniforms:va([D.common,D.bumpmap,D.normalmap,D.displacementmap,D.fog,{matcap:{value:null}}]),vertexShader:O.meshmatcap_vert,fragmentShader:O.meshmatcap_frag},points:{uniforms:va([D.points,D.fog]),vertexShader:O.points_vert,fragmentShader:O.points_frag},dashed:{uniforms:va([D.common,\n",
       "D.fog,{scale:{value:1},dashSize:{value:1},totalSize:{value:2}}]),vertexShader:O.linedashed_vert,fragmentShader:O.linedashed_frag},depth:{uniforms:va([D.common,D.displacementmap]),vertexShader:O.depth_vert,fragmentShader:O.depth_frag},normal:{uniforms:va([D.common,D.bumpmap,D.normalmap,D.displacementmap,{opacity:{value:1}}]),vertexShader:O.normal_vert,fragmentShader:O.normal_frag},sprite:{uniforms:va([D.sprite,D.fog]),vertexShader:O.sprite_vert,fragmentShader:O.sprite_frag},background:{uniforms:{uvTransform:{value:new wa},\n",
       "t2D:{value:null}},vertexShader:O.background_vert,fragmentShader:O.background_frag},cube:{uniforms:va([D.envmap,{opacity:{value:1}}]),vertexShader:O.cube_vert,fragmentShader:O.cube_frag},equirect:{uniforms:{tEquirect:{value:null}},vertexShader:O.equirect_vert,fragmentShader:O.equirect_frag},distanceRGBA:{uniforms:va([D.common,D.displacementmap,{referencePosition:{value:new n},nearDistance:{value:1},farDistance:{value:1E3}}]),vertexShader:O.distanceRGBA_vert,fragmentShader:O.distanceRGBA_frag},shadow:{uniforms:va([D.lights,\n",
       "D.fog,{color:{value:new A(0)},opacity:{value:1}}]),vertexShader:O.shadow_vert,fragmentShader:O.shadow_frag}};eb.physical={uniforms:va([eb.standard.uniforms,{clearcoat:{value:0},clearcoatMap:{value:null},clearcoatRoughness:{value:0},clearcoatRoughnessMap:{value:null},clearcoatNormalScale:{value:new t(1,1)},clearcoatNormalMap:{value:null},sheen:{value:new A(0)},transparency:{value:0}}]),vertexShader:O.meshphysical_vert,fragmentShader:O.meshphysical_frag};qb.prototype=Object.create(V.prototype);qb.prototype.constructor=\n",
       "qb;qb.prototype.isCubeTexture=!0;Object.defineProperty(qb.prototype,&quot;images&quot;,{get:function(){return this.image},set:function(a){this.image=a}});Ic.prototype=Object.create(V.prototype);Ic.prototype.constructor=Ic;Ic.prototype.isDataTexture2DArray=!0;Jc.prototype=Object.create(V.prototype);Jc.prototype.constructor=Jc;Jc.prototype.isDataTexture3D=!0;var Hh=new V,Pj=new Ic,Rj=new Jc,Ih=new qb,Bh=[],Dh=[],Gh=new Float32Array(16),Fh=new Float32Array(9),Eh=new Float32Array(4);Jh.prototype.updateCache=function(a){var b=\n",
       "this.cache;a instanceof Float32Array&&b.length!==a.length&&(this.cache=new Float32Array(a.length));Ia(b,a)};Kh.prototype.setValue=function(a,b,c){for(var d=this.seq,e=0,f=d.length;e!==f;++e){var g=d[e];g.setValue(a,b[g.id],c)}};var gg=/([\\w\\d_]+)(\\])?(\\[|\\.)?/g;Eb.prototype.setValue=function(a,b,c,d){b=this.map[b];void 0!==b&&b.setValue(a,c,d)};Eb.prototype.setOptional=function(a,b,c){b=b[c];void 0!==b&&this.setValue(a,c,b)};Eb.upload=function(a,b,c,d){for(var e=0,f=b.length;e!==f;++e){var g=b[e],\n",
       "h=c[g.id];!1!==h.needsUpdate&&g.setValue(a,h.value,d)}};Eb.seqWithValue=function(a,b){for(var c=[],d=0,e=a.length;d!==e;++d){var f=a[d];f.id in b&&c.push(f)}return c};var wk=0,ig=/^[ \\t]*#include +<([\\w\\d./]+)>/gm,Th=/#pragma unroll_loop[\\s]+?for \\( int i = (\\d+); i < (\\d+); i \\+\\+ \\) \\{([\\s\\S]+?)(?=\\})\\}/g,Sh=/#pragma unroll_loop_start[\\s]+?for \\( int i = (\\d+); i < (\\d+); i \\+\\+ \\) \\{([\\s\\S]+?)(?=\\})\\}[\\s]+?#pragma unroll_loop_end/g,Gk=0;Fb.prototype=Object.create(K.prototype);Fb.prototype.constructor=\n",
       "Fb;Fb.prototype.isMeshDepthMaterial=!0;Fb.prototype.copy=function(a){K.prototype.copy.call(this,a);this.depthPacking=a.depthPacking;this.skinning=a.skinning;this.morphTargets=a.morphTargets;this.map=a.map;this.alphaMap=a.alphaMap;this.displacementMap=a.displacementMap;this.displacementScale=a.displacementScale;this.displacementBias=a.displacementBias;this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;return this};Gb.prototype=Object.create(K.prototype);Gb.prototype.constructor=\n",
       "Gb;Gb.prototype.isMeshDistanceMaterial=!0;Gb.prototype.copy=function(a){K.prototype.copy.call(this,a);this.referencePosition.copy(a.referencePosition);this.nearDistance=a.nearDistance;this.farDistance=a.farDistance;this.skinning=a.skinning;this.morphTargets=a.morphTargets;this.map=a.map;this.alphaMap=a.alphaMap;this.displacementMap=a.displacementMap;this.displacementScale=a.displacementScale;this.displacementBias=a.displacementBias;return this};Pe.prototype=Object.assign(Object.create(aa.prototype),\n",
       "{constructor:Pe,isArrayCamera:!0});Mc.prototype=Object.assign(Object.create(F.prototype),{constructor:Mc,isGroup:!0});Object.assign($h.prototype,Ea.prototype);Object.assign(Qe.prototype,{isFogExp2:!0,clone:function(){return new Qe(this.color,this.density)},toJSON:function(){return{type:&quot;FogExp2&quot;,color:this.color.getHex(),density:this.density}}});Object.assign(Re.prototype,{isFog:!0,clone:function(){return new Re(this.color,this.near,this.far)},toJSON:function(){return{type:&quot;Fog&quot;,color:this.color.getHex(),\n",
       "near:this.near,far:this.far}}});Object.defineProperty(rb.prototype,&quot;needsUpdate&quot;,{set:function(a){!0===a&&this.version++}});Object.assign(rb.prototype,{isInterleavedBuffer:!0,onUploadCallback:function(){},setUsage:function(a){this.usage=a;return this},copy:function(a){this.array=new a.array.constructor(a.array);this.count=a.count;this.stride=a.stride;this.usage=a.usage;return this},copyAt:function(a,b,c){a*=this.stride;c*=b.stride;for(var d=0,e=this.stride;d<e;d++)this.array[a+d]=b.array[c+d];return this},\n",
       "set:function(a,b){void 0===b&&(b=0);this.array.set(a,b);return this},clone:function(){return(new this.constructor).copy(this)},onUpload:function(a){this.onUploadCallback=a;return this}});var uc=new n;Object.defineProperties(Od.prototype,{count:{get:function(){return this.data.count}},array:{get:function(){return this.data.array}}});Object.assign(Od.prototype,{isInterleavedBufferAttribute:!0,applyMatrix4:function(a){for(var b=0,c=this.data.count;b<c;b++)uc.x=this.getX(b),uc.y=this.getY(b),uc.z=this.getZ(b),\n",
       "uc.applyMatrix4(a),this.setXYZ(b,uc.x,uc.y,uc.z);return this},setX:function(a,b){this.data.array[a*this.data.stride+this.offset]=b;return this},setY:function(a,b){this.data.array[a*this.data.stride+this.offset+1]=b;return this},setZ:function(a,b){this.data.array[a*this.data.stride+this.offset+2]=b;return this},setW:function(a,b){this.data.array[a*this.data.stride+this.offset+3]=b;return this},getX:function(a){return this.data.array[a*this.data.stride+this.offset]},getY:function(a){return this.data.array[a*\n",
       "this.data.stride+this.offset+1]},getZ:function(a){return this.data.array[a*this.data.stride+this.offset+2]},getW:function(a){return this.data.array[a*this.data.stride+this.offset+3]},setXY:function(a,b,c){a=a*this.data.stride+this.offset;this.data.array[a+0]=b;this.data.array[a+1]=c;return this},setXYZ:function(a,b,c,d){a=a*this.data.stride+this.offset;this.data.array[a+0]=b;this.data.array[a+1]=c;this.data.array[a+2]=d;return this},setXYZW:function(a,b,c,d,e){a=a*this.data.stride+this.offset;this.data.array[a+\n",
       "0]=b;this.data.array[a+1]=c;this.data.array[a+2]=d;this.data.array[a+3]=e;return this}});Ib.prototype=Object.create(K.prototype);Ib.prototype.constructor=Ib;Ib.prototype.isSpriteMaterial=!0;Ib.prototype.copy=function(a){K.prototype.copy.call(this,a);this.color.copy(a.color);this.map=a.map;this.alphaMap=a.alphaMap;this.rotation=a.rotation;this.sizeAttenuation=a.sizeAttenuation;return this};var Nc,Ce=new n,xd=new n,yd=new n,Oc=new t,Qd=new t,bi=new P,Mf=new n,De=new n,Nf=new n,Ri=new t,oh=new t,Si=\n",
       "new t;Pd.prototype=Object.assign(Object.create(F.prototype),{constructor:Pd,isSprite:!0,raycast:function(a,b){null===a.camera&&console.error('THREE.Sprite: &quot;Raycaster.camera&quot; needs to be set in order to raycast against sprites.');xd.setFromMatrixScale(this.matrixWorld);bi.copy(a.camera.matrixWorld);this.modelViewMatrix.multiplyMatrices(a.camera.matrixWorldInverse,this.matrixWorld);yd.setFromMatrixPosition(this.modelViewMatrix);a.camera.isPerspectiveCamera&&!1===this.material.sizeAttenuation&&xd.multiplyScalar(-yd.z);\n",
       "var c=this.material.rotation;if(0!==c){var d=Math.cos(c);var e=Math.sin(c)}c=this.center;Se(Mf.set(-.5,-.5,0),yd,c,xd,e,d);Se(De.set(.5,-.5,0),yd,c,xd,e,d);Se(Nf.set(.5,.5,0),yd,c,xd,e,d);Ri.set(0,0);oh.set(1,0);Si.set(1,1);var f=a.ray.intersectTriangle(Mf,De,Nf,!1,Ce);if(null===f&&(Se(De.set(-.5,.5,0),yd,c,xd,e,d),oh.set(0,1),f=a.ray.intersectTriangle(Mf,Nf,De,!1,Ce),null===f))return;e=a.ray.origin.distanceTo(Ce);e<a.near||e>a.far||b.push({distance:e,point:Ce.clone(),uv:oa.getUV(Ce,Mf,De,Nf,Ri,oh,\n",
       "Si,new t),face:null,object:this})},clone:function(){return(new this.constructor(this.material)).copy(this)},copy:function(a){F.prototype.copy.call(this,a);void 0!==a.center&&this.center.copy(a.center);return this}});var Of=new n,Ti=new n;Rd.prototype=Object.assign(Object.create(F.prototype),{constructor:Rd,isLOD:!0,copy:function(a){F.prototype.copy.call(this,a,!1);for(var b=a.levels,c=0,d=b.length;c<d;c++){var e=b[c];this.addLevel(e.object.clone(),e.distance)}this.autoUpdate=a.autoUpdate;return this},\n",
       "addLevel:function(a,b){void 0===b&&(b=0);b=Math.abs(b);for(var c=this.levels,d=0;d<c.length&&!(b<c[d].distance);d++);c.splice(d,0,{distance:b,object:a});this.add(a);return this},getCurrentLevel:function(){return this._currentLevel},getObjectForDistance:function(a){var b=this.levels;if(0<b.length){for(var c=1,d=b.length;c<d&&!(a<b[c].distance);c++);return b[c-1].object}return null},raycast:function(a,b){if(0<this.levels.length){Of.setFromMatrixPosition(this.matrixWorld);var c=a.ray.origin.distanceTo(Of);\n",
       "this.getObjectForDistance(c).raycast(a,b)}},update:function(a){var b=this.levels;if(1<b.length){Of.setFromMatrixPosition(a.matrixWorld);Ti.setFromMatrixPosition(this.matrixWorld);a=Of.distanceTo(Ti)/a.zoom;b[0].object.visible=!0;for(var c=1,d=b.length;c<d;c++)if(a>=b[c].distance)b[c-1].object.visible=!1,b[c].object.visible=!0;else break;for(this._currentLevel=c-1;c<d;c++)b[c].object.visible=!1}},toJSON:function(a){a=F.prototype.toJSON.call(this,a);!1===this.autoUpdate&&(a.object.autoUpdate=!1);a.object.levels=\n",
       "[];for(var b=this.levels,c=0,d=b.length;c<d;c++){var e=b[c];a.object.levels.push({object:e.object.uuid,distance:e.distance})}return a}});Te.prototype=Object.assign(Object.create(S.prototype),{constructor:Te,isSkinnedMesh:!0,bind:function(a,b){this.skeleton=a;void 0===b&&(this.updateMatrixWorld(!0),this.skeleton.calculateInverses(),b=this.matrixWorld);this.bindMatrix.copy(b);this.bindMatrixInverse.getInverse(b)},pose:function(){this.skeleton.pose()},normalizeSkinWeights:function(){for(var a=new ka,\n",
       "b=this.geometry.attributes.skinWeight,c=0,d=b.count;c<d;c++){a.x=b.getX(c);a.y=b.getY(c);a.z=b.getZ(c);a.w=b.getW(c);var e=1/a.manhattanLength();Infinity!==e?a.multiplyScalar(e):a.set(1,0,0,0);b.setXYZW(c,a.x,a.y,a.z,a.w)}},updateMatrixWorld:function(a){S.prototype.updateMatrixWorld.call(this,a);&quot;attached&quot;===this.bindMode?this.bindMatrixInverse.getInverse(this.matrixWorld):&quot;detached&quot;===this.bindMode?this.bindMatrixInverse.getInverse(this.bindMatrix):console.warn(&quot;THREE.SkinnedMesh: Unrecognized bindMode: &quot;+\n",
       "this.bindMode)},clone:function(){return(new this.constructor(this.geometry,this.material)).copy(this)}});var Ui=new P,$k=new P;Object.assign(Ue.prototype,{calculateInverses:function(){this.boneInverses=[];for(var a=0,b=this.bones.length;a<b;a++){var c=new P;this.bones[a]&&c.getInverse(this.bones[a].matrixWorld);this.boneInverses.push(c)}},pose:function(){var a,b;var c=0;for(b=this.bones.length;c<b;c++)(a=this.bones[c])&&a.matrixWorld.getInverse(this.boneInverses[c]);c=0;for(b=this.bones.length;c<\n",
       "b;c++)if(a=this.bones[c])a.parent&&a.parent.isBone?(a.matrix.getInverse(a.parent.matrixWorld),a.matrix.multiply(a.matrixWorld)):a.matrix.copy(a.matrixWorld),a.matrix.decompose(a.position,a.quaternion,a.scale)},update:function(){for(var a=this.bones,b=this.boneInverses,c=this.boneMatrices,d=this.boneTexture,e=0,f=a.length;e<f;e++)Ui.multiplyMatrices(a[e]?a[e].matrixWorld:$k,b[e]),Ui.toArray(c,16*e);void 0!==d&&(d.needsUpdate=!0)},clone:function(){return new Ue(this.bones,this.boneInverses)},getBoneByName:function(a){for(var b=\n",
       "0,c=this.bones.length;b<c;b++){var d=this.bones[b];if(d.name===a)return d}},dispose:function(){this.boneTexture&&(this.boneTexture.dispose(),this.boneTexture=void 0)}});pg.prototype=Object.assign(Object.create(F.prototype),{constructor:pg,isBone:!0});var Vi=new P,Wi=new P,zd=[],Ee=new S;Ve.prototype=Object.assign(Object.create(S.prototype),{constructor:Ve,isInstancedMesh:!0,getMatrixAt:function(a,b){b.fromArray(this.instanceMatrix.array,16*a)},raycast:function(a,b){var c=this.matrixWorld,d=this.count;\n",
       "Ee.geometry=this.geometry;Ee.material=this.material;if(void 0!==Ee.material)for(var e=0;e<d;e++)this.getMatrixAt(e,Vi),Wi.multiplyMatrices(c,Vi),Ee.matrixWorld=Wi,Ee.raycast(a,zd),0<zd.length&&(zd[0].instanceId=e,zd[0].object=this,b.push(zd[0]),zd.length=0)},setMatrixAt:function(a,b){b.toArray(this.instanceMatrix.array,16*a)},updateMorphTargets:function(){}});la.prototype=Object.create(K.prototype);la.prototype.constructor=la;la.prototype.isLineBasicMaterial=!0;la.prototype.copy=function(a){K.prototype.copy.call(this,\n",
       "a);this.color.copy(a.color);this.linewidth=a.linewidth;this.linecap=a.linecap;this.linejoin=a.linejoin;return this};var Xi=new n,Yi=new n,Zi=new P,Pf=new Vb,Fe=new pb;Ka.prototype=Object.assign(Object.create(F.prototype),{constructor:Ka,isLine:!0,computeLineDistances:function(){var a=this.geometry;if(a.isBufferGeometry)if(null===a.index){for(var b=a.attributes.position,c=[0],d=1,e=b.count;d<e;d++)Xi.fromBufferAttribute(b,d-1),Yi.fromBufferAttribute(b,d),c[d]=c[d-1],c[d]+=Xi.distanceTo(Yi);a.setAttribute(&quot;lineDistance&quot;,\n",
       "new y(c,1))}else console.warn(&quot;THREE.Line.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.&quot;);else if(a.isGeometry)for(b=a.vertices,c=a.lineDistances,c[0]=0,d=1,e=b.length;d<e;d++)c[d]=c[d-1],c[d]+=b[d-1].distanceTo(b[d]);return this},raycast:function(a,b){var c=this.geometry,d=this.matrixWorld,e=a.params.Line.threshold;null===c.boundingSphere&&c.computeBoundingSphere();Fe.copy(c.boundingSphere);Fe.applyMatrix4(d);Fe.radius+=e;if(!1!==a.ray.intersectsSphere(Fe)){Zi.getInverse(d);\n",
       "Pf.copy(a.ray).applyMatrix4(Zi);d=e/((this.scale.x+this.scale.y+this.scale.z)/3);d*=d;var f=new n,g=new n;e=new n;var h=new n,l=this&&this.isLineSegments?2:1;if(c.isBufferGeometry){var k=c.index,u=c.attributes.position.array;if(null!==k){k=k.array;c=0;for(var p=k.length-1;c<p;c+=l){var x=k[c+1];f.fromArray(u,3*k[c]);g.fromArray(u,3*x);x=Pf.distanceSqToSegment(f,g,h,e);x>d||(h.applyMatrix4(this.matrixWorld),x=a.ray.origin.distanceTo(h),x<a.near||x>a.far||b.push({distance:x,point:e.clone().applyMatrix4(this.matrixWorld),\n",
       "index:c,face:null,faceIndex:null,object:this}))}}else for(c=0,p=u.length/3-1;c<p;c+=l)f.fromArray(u,3*c),g.fromArray(u,3*c+3),x=Pf.distanceSqToSegment(f,g,h,e),x>d||(h.applyMatrix4(this.matrixWorld),x=a.ray.origin.distanceTo(h),x<a.near||x>a.far||b.push({distance:x,point:e.clone().applyMatrix4(this.matrixWorld),index:c,face:null,faceIndex:null,object:this}))}else if(c.isGeometry)for(f=c.vertices,g=f.length,c=0;c<g-1;c+=l)x=Pf.distanceSqToSegment(f[c],f[c+1],h,e),x>d||(h.applyMatrix4(this.matrixWorld),\n",
       "x=a.ray.origin.distanceTo(h),x<a.near||x>a.far||b.push({distance:x,point:e.clone().applyMatrix4(this.matrixWorld),index:c,face:null,faceIndex:null,object:this}))}},clone:function(){return(new this.constructor(this.geometry,this.material)).copy(this)}});var Qf=new n,Rf=new n;ma.prototype=Object.assign(Object.create(Ka.prototype),{constructor:ma,isLineSegments:!0,computeLineDistances:function(){var a=this.geometry;if(a.isBufferGeometry)if(null===a.index){for(var b=a.attributes.position,c=[],d=0,e=b.count;d<\n",
       "e;d+=2)Qf.fromBufferAttribute(b,d),Rf.fromBufferAttribute(b,d+1),c[d]=0===d?0:c[d-1],c[d+1]=c[d]+Qf.distanceTo(Rf);a.setAttribute(&quot;lineDistance&quot;,new y(c,1))}else console.warn(&quot;THREE.LineSegments.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.&quot;);else if(a.isGeometry)for(b=a.vertices,c=a.lineDistances,d=0,e=b.length;d<e;d+=2)Qf.copy(b[d]),Rf.copy(b[d+1]),c[d]=0===d?0:c[d-1],c[d+1]=c[d]+Qf.distanceTo(Rf);return this}});We.prototype=Object.assign(Object.create(Ka.prototype),\n",
       "{constructor:We,isLineLoop:!0});Va.prototype=Object.create(K.prototype);Va.prototype.constructor=Va;Va.prototype.isPointsMaterial=!0;Va.prototype.copy=function(a){K.prototype.copy.call(this,a);this.color.copy(a.color);this.map=a.map;this.alphaMap=a.alphaMap;this.size=a.size;this.sizeAttenuation=a.sizeAttenuation;this.morphTargets=a.morphTargets;return this};var $i=new P,rg=new Vb,Ge=new pb,Sf=new n;Pc.prototype=Object.assign(Object.create(F.prototype),{constructor:Pc,isPoints:!0,raycast:function(a,\n",
       "b){var c=this.geometry,d=this.matrixWorld,e=a.params.Points.threshold;null===c.boundingSphere&&c.computeBoundingSphere();Ge.copy(c.boundingSphere);Ge.applyMatrix4(d);Ge.radius+=e;if(!1!==a.ray.intersectsSphere(Ge))if($i.getInverse(d),rg.copy(a.ray).applyMatrix4($i),e/=(this.scale.x+this.scale.y+this.scale.z)/3,e*=e,c.isBufferGeometry){var f=c.index;c=c.attributes.position.array;if(null!==f){var g=f.array;f=0;for(var h=g.length;f<h;f++){var l=g[f];Sf.fromArray(c,3*l);qg(Sf,l,e,d,a,b,this)}}else for(f=\n",
       "0,g=c.length/3;f<g;f++)Sf.fromArray(c,3*f),qg(Sf,f,e,d,a,b,this)}else for(c=c.vertices,f=0,g=c.length;f<g;f++)qg(c[f],f,e,d,a,b,this)},updateMorphTargets:function(){var a=this.geometry;if(a.isBufferGeometry){a=a.morphAttributes;var b=Object.keys(a);if(0<b.length){var c=a[b[0]];if(void 0!==c)for(this.morphTargetInfluences=[],this.morphTargetDictionary={},a=0,b=c.length;a<b;a++){var d=c[a].name||String(a);this.morphTargetInfluences.push(0);this.morphTargetDictionary[d]=a}}}else a=a.morphTargets,void 0!==\n",
       "a&&0<a.length&&console.error(&quot;THREE.Points.updateMorphTargets() does not support THREE.Geometry. Use THREE.BufferGeometry instead.&quot;)},clone:function(){return(new this.constructor(this.geometry,this.material)).copy(this)}});sg.prototype=Object.assign(Object.create(V.prototype),{constructor:sg,isVideoTexture:!0,update:function(){var a=this.image;a.readyState>=a.HAVE_CURRENT_DATA&&(this.needsUpdate=!0)}});Qc.prototype=Object.create(V.prototype);Qc.prototype.constructor=Qc;Qc.prototype.isCompressedTexture=\n",
       "!0;Sd.prototype=Object.create(V.prototype);Sd.prototype.constructor=Sd;Sd.prototype.isCanvasTexture=!0;Td.prototype=Object.create(V.prototype);Td.prototype.constructor=Td;Td.prototype.isDepthTexture=!0;Rc.prototype=Object.create(C.prototype);Rc.prototype.constructor=Rc;Ud.prototype=Object.create(N.prototype);Ud.prototype.constructor=Ud;Sc.prototype=Object.create(C.prototype);Sc.prototype.constructor=Sc;Vd.prototype=Object.create(N.prototype);Vd.prototype.constructor=Vd;Ga.prototype=Object.create(C.prototype);\n",
       "Ga.prototype.constructor=Ga;Wd.prototype=Object.create(N.prototype);Wd.prototype.constructor=Wd;Tc.prototype=Object.create(Ga.prototype);Tc.prototype.constructor=Tc;Xd.prototype=Object.create(N.prototype);Xd.prototype.constructor=Xd;cc.prototype=Object.create(Ga.prototype);cc.prototype.constructor=cc;Yd.prototype=Object.create(N.prototype);Yd.prototype.constructor=Yd;Uc.prototype=Object.create(Ga.prototype);Uc.prototype.constructor=Uc;Zd.prototype=Object.create(N.prototype);Zd.prototype.constructor=\n",
       "Zd;Vc.prototype=Object.create(Ga.prototype);Vc.prototype.constructor=Vc;$d.prototype=Object.create(N.prototype);$d.prototype.constructor=$d;dc.prototype=Object.create(C.prototype);dc.prototype.constructor=dc;dc.prototype.toJSON=function(){var a=C.prototype.toJSON.call(this);a.path=this.parameters.path.toJSON();return a};ae.prototype=Object.create(N.prototype);ae.prototype.constructor=ae;Wc.prototype=Object.create(C.prototype);Wc.prototype.constructor=Wc;be.prototype=Object.create(N.prototype);be.prototype.constructor=\n",
       "be;Xc.prototype=Object.create(C.prototype);Xc.prototype.constructor=Xc;var al={triangulate:function(a,b,c){c=c||2;var d=b&&b.length,e=d?b[0]*c:a.length,f=ci(a,0,e,c,!0),g=[];if(!f||f.next===f.prev)return g;var h;if(d){var l=c;d=[];var k;var n=0;for(k=b.length;n<k;n++){var p=b[n]*l;var x=n<k-1?b[n+1]*l:a.length;p=ci(a,p,x,l,!1);p===p.next&&(p.steiner=!0);d.push(Nk(p))}d.sort(Lk);for(n=0;n<d.length;n++){b=d[n];l=f;if(l=Mk(b,l))b=fi(l,b),de(b,b.next);f=de(f,f.next)}}if(a.length>80*c){var r=h=a[0];var q=\n",
       "d=a[1];for(l=c;l<e;l+=c)n=a[l],b=a[l+1],n<r&&(r=n),b<q&&(q=b),n>h&&(h=n),b>d&&(d=b);h=Math.max(h-r,d-q);h=0!==h?1/h:0}ee(f,g,c,r,q,h);return g}},sb={area:function(a){for(var b=a.length,c=0,d=b-1,e=0;e<b;d=e++)c+=a[d].x*a[e].y-a[e].x*a[d].y;return.5*c},isClockWise:function(a){return 0>sb.area(a)},triangulateShape:function(a,b){var c=[],d=[],e=[];gi(a);hi(c,a);var f=a.length;b.forEach(gi);for(a=0;a<b.length;a++)d.push(f),f+=b[a].length,hi(c,b[a]);b=al.triangulate(c,d);for(a=0;a<b.length;a+=3)e.push(b.slice(a,\n",
       "a+3));return e}};fc.prototype=Object.create(N.prototype);fc.prototype.constructor=fc;fc.prototype.toJSON=function(){var a=N.prototype.toJSON.call(this);return ii(this.parameters.shapes,this.parameters.options,a)};fb.prototype=Object.create(C.prototype);fb.prototype.constructor=fb;fb.prototype.toJSON=function(){var a=C.prototype.toJSON.call(this);return ii(this.parameters.shapes,this.parameters.options,a)};var Ok={generateTopUV:function(a,b,c,d,e){a=b[3*d];d=b[3*d+1];var f=b[3*e];e=b[3*e+1];return[new t(b[3*\n",
       "c],b[3*c+1]),new t(a,d),new t(f,e)]},generateSideWallUV:function(a,b,c,d,e,f){a=b[3*c];var g=b[3*c+1];c=b[3*c+2];var h=b[3*d],l=b[3*d+1];d=b[3*d+2];var k=b[3*e],n=b[3*e+1];e=b[3*e+2];var p=b[3*f],x=b[3*f+1];b=b[3*f+2];return.01>Math.abs(g-l)?[new t(a,1-c),new t(h,1-d),new t(k,1-e),new t(p,1-b)]:[new t(g,1-c),new t(l,1-d),new t(n,1-e),new t(x,1-b)]}};ge.prototype=Object.create(N.prototype);ge.prototype.constructor=ge;Zc.prototype=Object.create(fb.prototype);Zc.prototype.constructor=Zc;he.prototype=\n",
       "Object.create(N.prototype);he.prototype.constructor=he;gc.prototype=Object.create(C.prototype);gc.prototype.constructor=gc;ie.prototype=Object.create(N.prototype);ie.prototype.constructor=ie;$c.prototype=Object.create(C.prototype);$c.prototype.constructor=$c;je.prototype=Object.create(N.prototype);je.prototype.constructor=je;ad.prototype=Object.create(C.prototype);ad.prototype.constructor=ad;hc.prototype=Object.create(N.prototype);hc.prototype.constructor=hc;hc.prototype.toJSON=function(){var a=N.prototype.toJSON.call(this);\n",
       "return ji(this.parameters.shapes,a)};ic.prototype=Object.create(C.prototype);ic.prototype.constructor=ic;ic.prototype.toJSON=function(){var a=C.prototype.toJSON.call(this);return ji(this.parameters.shapes,a)};bd.prototype=Object.create(C.prototype);bd.prototype.constructor=bd;jc.prototype=Object.create(N.prototype);jc.prototype.constructor=jc;tb.prototype=Object.create(C.prototype);tb.prototype.constructor=tb;ke.prototype=Object.create(jc.prototype);ke.prototype.constructor=ke;le.prototype=Object.create(tb.prototype);\n",
       "le.prototype.constructor=le;me.prototype=Object.create(N.prototype);me.prototype.constructor=me;cd.prototype=Object.create(C.prototype);cd.prototype.constructor=cd;var ua=Object.freeze({__proto__:null,WireframeGeometry:Rc,ParametricGeometry:Ud,ParametricBufferGeometry:Sc,TetrahedronGeometry:Wd,TetrahedronBufferGeometry:Tc,OctahedronGeometry:Xd,OctahedronBufferGeometry:cc,IcosahedronGeometry:Yd,IcosahedronBufferGeometry:Uc,DodecahedronGeometry:Zd,DodecahedronBufferGeometry:Vc,PolyhedronGeometry:Vd,\n",
       "PolyhedronBufferGeometry:Ga,TubeGeometry:$d,TubeBufferGeometry:dc,TorusKnotGeometry:ae,TorusKnotBufferGeometry:Wc,TorusGeometry:be,TorusBufferGeometry:Xc,TextGeometry:ge,TextBufferGeometry:Zc,SphereGeometry:he,SphereBufferGeometry:gc,RingGeometry:ie,RingBufferGeometry:$c,PlaneGeometry:Id,PlaneBufferGeometry:bc,LatheGeometry:je,LatheBufferGeometry:ad,ShapeGeometry:hc,ShapeBufferGeometry:ic,ExtrudeGeometry:fc,ExtrudeBufferGeometry:fb,EdgesGeometry:bd,ConeGeometry:ke,ConeBufferGeometry:le,CylinderGeometry:jc,\n",
       "CylinderBufferGeometry:tb,CircleGeometry:me,CircleBufferGeometry:cd,BoxGeometry:nh,BoxBufferGeometry:Jd});kc.prototype=Object.create(K.prototype);kc.prototype.constructor=kc;kc.prototype.isShadowMaterial=!0;kc.prototype.copy=function(a){K.prototype.copy.call(this,a);this.color.copy(a.color);return this};ub.prototype=Object.create(Ba.prototype);ub.prototype.constructor=ub;ub.prototype.isRawShaderMaterial=!0;gb.prototype=Object.create(K.prototype);gb.prototype.constructor=gb;gb.prototype.isMeshStandardMaterial=\n",
       "!0;gb.prototype.copy=function(a){K.prototype.copy.call(this,a);this.defines={STANDARD:&quot;&quot;};this.color.copy(a.color);this.roughness=a.roughness;this.metalness=a.metalness;this.map=a.map;this.lightMap=a.lightMap;this.lightMapIntensity=a.lightMapIntensity;this.aoMap=a.aoMap;this.aoMapIntensity=a.aoMapIntensity;this.emissive.copy(a.emissive);this.emissiveMap=a.emissiveMap;this.emissiveIntensity=a.emissiveIntensity;this.bumpMap=a.bumpMap;this.bumpScale=a.bumpScale;this.normalMap=a.normalMap;this.normalMapType=\n",
       "a.normalMapType;this.normalScale.copy(a.normalScale);this.displacementMap=a.displacementMap;this.displacementScale=a.displacementScale;this.displacementBias=a.displacementBias;this.roughnessMap=a.roughnessMap;this.metalnessMap=a.metalnessMap;this.alphaMap=a.alphaMap;this.envMap=a.envMap;this.envMapIntensity=a.envMapIntensity;this.refractionRatio=a.refractionRatio;this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;this.wireframeLinecap=a.wireframeLinecap;this.wireframeLinejoin=\n",
       "a.wireframeLinejoin;this.skinning=a.skinning;this.morphTargets=a.morphTargets;this.morphNormals=a.morphNormals;this.vertexTangents=a.vertexTangents;return this};lc.prototype=Object.create(gb.prototype);lc.prototype.constructor=lc;lc.prototype.isMeshPhysicalMaterial=!0;lc.prototype.copy=function(a){gb.prototype.copy.call(this,a);this.defines={STANDARD:&quot;&quot;,PHYSICAL:&quot;&quot;};this.clearcoat=a.clearcoat;this.clearcoatMap=a.clearcoatMap;this.clearcoatRoughness=a.clearcoatRoughness;this.clearcoatRoughnessMap=\n",
       "a.clearcoatRoughnessMap;this.clearcoatNormalMap=a.clearcoatNormalMap;this.clearcoatNormalScale.copy(a.clearcoatNormalScale);this.reflectivity=a.reflectivity;this.sheen=a.sheen?(this.sheen||new A).copy(a.sheen):null;this.transparency=a.transparency;return this};Jb.prototype=Object.create(K.prototype);Jb.prototype.constructor=Jb;Jb.prototype.isMeshPhongMaterial=!0;Jb.prototype.copy=function(a){K.prototype.copy.call(this,a);this.color.copy(a.color);this.specular.copy(a.specular);this.shininess=a.shininess;\n",
       "this.map=a.map;this.lightMap=a.lightMap;this.lightMapIntensity=a.lightMapIntensity;this.aoMap=a.aoMap;this.aoMapIntensity=a.aoMapIntensity;this.emissive.copy(a.emissive);this.emissiveMap=a.emissiveMap;this.emissiveIntensity=a.emissiveIntensity;this.bumpMap=a.bumpMap;this.bumpScale=a.bumpScale;this.normalMap=a.normalMap;this.normalMapType=a.normalMapType;this.normalScale.copy(a.normalScale);this.displacementMap=a.displacementMap;this.displacementScale=a.displacementScale;this.displacementBias=a.displacementBias;\n",
       "this.specularMap=a.specularMap;this.alphaMap=a.alphaMap;this.envMap=a.envMap;this.combine=a.combine;this.reflectivity=a.reflectivity;this.refractionRatio=a.refractionRatio;this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;this.wireframeLinecap=a.wireframeLinecap;this.wireframeLinejoin=a.wireframeLinejoin;this.skinning=a.skinning;this.morphTargets=a.morphTargets;this.morphNormals=a.morphNormals;return this};mc.prototype=Object.create(K.prototype);mc.prototype.constructor=mc;mc.prototype.isMeshToonMaterial=\n",
       "!0;mc.prototype.copy=function(a){K.prototype.copy.call(this,a);this.color.copy(a.color);this.specular.copy(a.specular);this.shininess=a.shininess;this.map=a.map;this.gradientMap=a.gradientMap;this.lightMap=a.lightMap;this.lightMapIntensity=a.lightMapIntensity;this.aoMap=a.aoMap;this.aoMapIntensity=a.aoMapIntensity;this.emissive.copy(a.emissive);this.emissiveMap=a.emissiveMap;this.emissiveIntensity=a.emissiveIntensity;this.bumpMap=a.bumpMap;this.bumpScale=a.bumpScale;this.normalMap=a.normalMap;this.normalMapType=\n",
       "a.normalMapType;this.normalScale.copy(a.normalScale);this.displacementMap=a.displacementMap;this.displacementScale=a.displacementScale;this.displacementBias=a.displacementBias;this.specularMap=a.specularMap;this.alphaMap=a.alphaMap;this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;this.wireframeLinecap=a.wireframeLinecap;this.wireframeLinejoin=a.wireframeLinejoin;this.skinning=a.skinning;this.morphTargets=a.morphTargets;this.morphNormals=a.morphNormals;return this};nc.prototype=\n",
       "Object.create(K.prototype);nc.prototype.constructor=nc;nc.prototype.isMeshNormalMaterial=!0;nc.prototype.copy=function(a){K.prototype.copy.call(this,a);this.bumpMap=a.bumpMap;this.bumpScale=a.bumpScale;this.normalMap=a.normalMap;this.normalMapType=a.normalMapType;this.normalScale.copy(a.normalScale);this.displacementMap=a.displacementMap;this.displacementScale=a.displacementScale;this.displacementBias=a.displacementBias;this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;this.skinning=\n",
       "a.skinning;this.morphTargets=a.morphTargets;this.morphNormals=a.morphNormals;return this};oc.prototype=Object.create(K.prototype);oc.prototype.constructor=oc;oc.prototype.isMeshLambertMaterial=!0;oc.prototype.copy=function(a){K.prototype.copy.call(this,a);this.color.copy(a.color);this.map=a.map;this.lightMap=a.lightMap;this.lightMapIntensity=a.lightMapIntensity;this.aoMap=a.aoMap;this.aoMapIntensity=a.aoMapIntensity;this.emissive.copy(a.emissive);this.emissiveMap=a.emissiveMap;this.emissiveIntensity=\n",
       "a.emissiveIntensity;this.specularMap=a.specularMap;this.alphaMap=a.alphaMap;this.envMap=a.envMap;this.combine=a.combine;this.reflectivity=a.reflectivity;this.refractionRatio=a.refractionRatio;this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;this.wireframeLinecap=a.wireframeLinecap;this.wireframeLinejoin=a.wireframeLinejoin;this.skinning=a.skinning;this.morphTargets=a.morphTargets;this.morphNormals=a.morphNormals;return this};pc.prototype=Object.create(K.prototype);pc.prototype.constructor=\n",
       "pc;pc.prototype.isMeshMatcapMaterial=!0;pc.prototype.copy=function(a){K.prototype.copy.call(this,a);this.defines={MATCAP:&quot;&quot;};this.color.copy(a.color);this.matcap=a.matcap;this.map=a.map;this.bumpMap=a.bumpMap;this.bumpScale=a.bumpScale;this.normalMap=a.normalMap;this.normalMapType=a.normalMapType;this.normalScale.copy(a.normalScale);this.displacementMap=a.displacementMap;this.displacementScale=a.displacementScale;this.displacementBias=a.displacementBias;this.alphaMap=a.alphaMap;this.skinning=a.skinning;\n",
       "this.morphTargets=a.morphTargets;this.morphNormals=a.morphNormals;return this};qc.prototype=Object.create(la.prototype);qc.prototype.constructor=qc;qc.prototype.isLineDashedMaterial=!0;qc.prototype.copy=function(a){la.prototype.copy.call(this,a);this.scale=a.scale;this.dashSize=a.dashSize;this.gapSize=a.gapSize;return this};var bl=Object.freeze({__proto__:null,ShadowMaterial:kc,SpriteMaterial:Ib,RawShaderMaterial:ub,ShaderMaterial:Ba,PointsMaterial:Va,MeshPhysicalMaterial:lc,MeshStandardMaterial:gb,\n",
       "MeshPhongMaterial:Jb,MeshToonMaterial:mc,MeshNormalMaterial:nc,MeshLambertMaterial:oc,MeshDepthMaterial:Fb,MeshDistanceMaterial:Gb,MeshBasicMaterial:Oa,MeshMatcapMaterial:pc,LineDashedMaterial:qc,LineBasicMaterial:la,Material:K}),R={arraySlice:function(a,b,c){return R.isTypedArray(a)?new a.constructor(a.subarray(b,void 0!==c?c:a.length)):a.slice(b,c)},convertArray:function(a,b,c){return!a||!c&&a.constructor===b?a:&quot;number&quot;===typeof b.BYTES_PER_ELEMENT?new b(a):Array.prototype.slice.call(a)},isTypedArray:function(a){return ArrayBuffer.isView(a)&&\n",
       "!(a instanceof DataView)},getKeyframeOrder:function(a){for(var b=a.length,c=Array(b),d=0;d!==b;++d)c[d]=d;c.sort(function(b,c){return a[b]-a[c]});return c},sortedArray:function(a,b,c){for(var d=a.length,e=new a.constructor(d),f=0,g=0;g!==d;++f)for(var h=c[f]*b,l=0;l!==b;++l)e[g++]=a[h+l];return e},flattenJSON:function(a,b,c,d){for(var e=1,f=a[0];void 0!==f&&void 0===f[d];)f=a[e++];if(void 0!==f){var g=f[d];if(void 0!==g)if(Array.isArray(g)){do g=f[d],void 0!==g&&(b.push(f.time),c.push.apply(c,g)),\n",
       "f=a[e++];while(void 0!==f)}else if(void 0!==g.toArray){do g=f[d],void 0!==g&&(b.push(f.time),g.toArray(c,c.length)),f=a[e++];while(void 0!==f)}else{do g=f[d],void 0!==g&&(b.push(f.time),c.push(g)),f=a[e++];while(void 0!==f)}}},subclip:function(a,b,c,d,e){e=e||30;a=a.clone();a.name=b;var f=[];for(b=0;b<a.tracks.length;++b){for(var g=a.tracks[b],h=g.getValueSize(),l=[],k=[],n=0;n<g.times.length;++n){var p=g.times[n]*e;if(!(p<c||p>=d))for(l.push(g.times[n]),p=0;p<h;++p)k.push(g.values[n*h+p])}0!==l.length&&\n",
       "(g.times=R.convertArray(l,g.times.constructor),g.values=R.convertArray(k,g.values.constructor),f.push(g))}a.tracks=f;c=Infinity;for(b=0;b<a.tracks.length;++b)c>a.tracks[b].times[0]&&(c=a.tracks[b].times[0]);for(b=0;b<a.tracks.length;++b)a.tracks[b].shift(-1*c);a.resetDuration();return a}};Object.assign(La.prototype,{evaluate:function(a){var b=this.parameterPositions,c=this._cachedIndex,d=b[c],e=b[c-1];a:{b:{c:{d:if(!(a<d)){for(var f=c+2;;){if(void 0===d){if(a<e)break d;this._cachedIndex=c=b.length;\n",
       "return this.afterEnd_(c-1,a,e)}if(c===f)break;e=d;d=b[++c];if(a<d)break b}d=b.length;break c}if(a>=e)break a;else{f=b[1];a<f&&(c=2,e=f);for(f=c-2;;){if(void 0===e)return this._cachedIndex=0,this.beforeStart_(0,a,d);if(c===f)break;d=e;e=b[--c-1];if(a>=e)break b}d=c;c=0}}for(;c<d;)e=c+d>>>1,a<b[e]?d=e:c=e+1;d=b[c];e=b[c-1];if(void 0===e)return this._cachedIndex=0,this.beforeStart_(0,a,d);if(void 0===d)return this._cachedIndex=c=b.length,this.afterEnd_(c-1,e,a)}this._cachedIndex=c;this.intervalChanged_(c,\n",
       "e,d)}return this.interpolate_(c,e,a,d)},settings:null,DefaultSettings_:{},getSettings_:function(){return this.settings||this.DefaultSettings_},copySampleValue_:function(a){var b=this.resultBuffer,c=this.sampleValues,d=this.valueSize;a*=d;for(var e=0;e!==d;++e)b[e]=c[a+e];return b},interpolate_:function(){throw Error(&quot;call to abstract method&quot;);},intervalChanged_:function(){}});Object.assign(La.prototype,{beforeStart_:La.prototype.copySampleValue_,afterEnd_:La.prototype.copySampleValue_});Xe.prototype=\n",
       "Object.assign(Object.create(La.prototype),{constructor:Xe,DefaultSettings_:{endingStart:2400,endingEnd:2400},intervalChanged_:function(a,b,c){var d=this.parameterPositions,e=a-2,f=a+1,g=d[e],h=d[f];if(void 0===g)switch(this.getSettings_().endingStart){case 2401:e=a;g=2*b-c;break;case 2402:e=d.length-2;g=b+d[e]-d[e+1];break;default:e=a,g=c}if(void 0===h)switch(this.getSettings_().endingEnd){case 2401:f=a;h=2*c-b;break;case 2402:f=1;h=c+d[1]-d[0];break;default:f=a-1,h=b}a=.5*(c-b);d=this.valueSize;\n",
       "this._weightPrev=a/(b-g);this._weightNext=a/(h-c);this._offsetPrev=e*d;this._offsetNext=f*d},interpolate_:function(a,b,c,d){var e=this.resultBuffer,f=this.sampleValues,g=this.valueSize;a*=g;var h=a-g,l=this._offsetPrev,k=this._offsetNext,n=this._weightPrev,p=this._weightNext,x=(c-b)/(d-b);c=x*x;d=c*x;b=-n*d+2*n*c-n*x;n=(1+n)*d+(-1.5-2*n)*c+(-.5+n)*x+1;x=(-1-p)*d+(1.5+p)*c+.5*x;p=p*d-p*c;for(c=0;c!==g;++c)e[c]=b*f[l+c]+n*f[h+c]+x*f[a+c]+p*f[k+c];return e}});ne.prototype=Object.assign(Object.create(La.prototype),\n",
       "{constructor:ne,interpolate_:function(a,b,c,d){var e=this.resultBuffer,f=this.sampleValues,g=this.valueSize;a*=g;var h=a-g;b=(c-b)/(d-b);c=1-b;for(d=0;d!==g;++d)e[d]=f[h+d]*c+f[a+d]*b;return e}});Ye.prototype=Object.assign(Object.create(La.prototype),{constructor:Ye,interpolate_:function(a){return this.copySampleValue_(a-1)}});Object.assign(sa,{toJSON:function(a){var b=a.constructor;if(void 0!==b.toJSON)b=b.toJSON(a);else{b={name:a.name,times:R.convertArray(a.times,Array),values:R.convertArray(a.values,\n",
       "Array)};var c=a.getInterpolation();c!==a.DefaultInterpolation&&(b.interpolation=c)}b.type=a.ValueTypeName;return b}});Object.assign(sa.prototype,{constructor:sa,TimeBufferType:Float32Array,ValueBufferType:Float32Array,DefaultInterpolation:2301,InterpolantFactoryMethodDiscrete:function(a){return new Ye(this.times,this.values,this.getValueSize(),a)},InterpolantFactoryMethodLinear:function(a){return new ne(this.times,this.values,this.getValueSize(),a)},InterpolantFactoryMethodSmooth:function(a){return new Xe(this.times,\n",
       "this.values,this.getValueSize(),a)},setInterpolation:function(a){switch(a){case 2300:var b=this.InterpolantFactoryMethodDiscrete;break;case 2301:b=this.InterpolantFactoryMethodLinear;break;case 2302:b=this.InterpolantFactoryMethodSmooth}if(void 0===b){b=&quot;unsupported interpolation for &quot;+this.ValueTypeName+&quot; keyframe track named &quot;+this.name;if(void 0===this.createInterpolant)if(a!==this.DefaultInterpolation)this.setInterpolation(this.DefaultInterpolation);else throw Error(b);console.warn(&quot;THREE.KeyframeTrack:&quot;,\n",
       "b);return this}this.createInterpolant=b;return this},getInterpolation:function(){switch(this.createInterpolant){case this.InterpolantFactoryMethodDiscrete:return 2300;case this.InterpolantFactoryMethodLinear:return 2301;case this.InterpolantFactoryMethodSmooth:return 2302}},getValueSize:function(){return this.values.length/this.times.length},shift:function(a){if(0!==a)for(var b=this.times,c=0,d=b.length;c!==d;++c)b[c]+=a;return this},scale:function(a){if(1!==a)for(var b=this.times,c=0,d=b.length;c!==\n",
       "d;++c)b[c]*=a;return this},trim:function(a,b){for(var c=this.times,d=c.length,e=0,f=d-1;e!==d&&c[e]<a;)++e;for(;-1!==f&&c[f]>b;)--f;++f;if(0!==e||f!==d)e>=f&&(f=Math.max(f,1),e=f-1),a=this.getValueSize(),this.times=R.arraySlice(c,e,f),this.values=R.arraySlice(this.values,e*a,f*a);return this},validate:function(){var a=!0,b=this.getValueSize();0!==b-Math.floor(b)&&(console.error(&quot;THREE.KeyframeTrack: Invalid value size in track.&quot;,this),a=!1);var c=this.times;b=this.values;var d=c.length;0===d&&(console.error(&quot;THREE.KeyframeTrack: Track is empty.&quot;,\n",
       "this),a=!1);for(var e=null,f=0;f!==d;f++){var g=c[f];if(&quot;number&quot;===typeof g&&isNaN(g)){console.error(&quot;THREE.KeyframeTrack: Time is not a valid number.&quot;,this,f,g);a=!1;break}if(null!==e&&e>g){console.error(&quot;THREE.KeyframeTrack: Out of order keys.&quot;,this,f,g,e);a=!1;break}e=g}if(void 0!==b&&R.isTypedArray(b))for(f=0,c=b.length;f!==c;++f)if(d=b[f],isNaN(d)){console.error(&quot;THREE.KeyframeTrack: Value is not a valid number.&quot;,this,f,d);a=!1;break}return a},optimize:function(){for(var a=R.arraySlice(this.times),\n",
       "b=R.arraySlice(this.values),c=this.getValueSize(),d=2302===this.getInterpolation(),e=1,f=a.length-1,g=1;g<f;++g){var h=!1,l=a[g];if(l!==a[g+1]&&(1!==g||l!==l[0]))if(d)h=!0;else{var k=g*c,n=k-c,p=k+c;for(l=0;l!==c;++l){var x=b[k+l];if(x!==b[n+l]||x!==b[p+l]){h=!0;break}}}if(h){if(g!==e)for(a[e]=a[g],h=g*c,k=e*c,l=0;l!==c;++l)b[k+l]=b[h+l];++e}}if(0<f){a[e]=a[f];h=f*c;k=e*c;for(l=0;l!==c;++l)b[k+l]=b[h+l];++e}e!==a.length?(this.times=R.arraySlice(a,0,e),this.values=R.arraySlice(b,0,e*c)):(this.times=\n",
       "a,this.values=b);return this},clone:function(){var a=R.arraySlice(this.times,0),b=R.arraySlice(this.values,0);a=new this.constructor(this.name,a,b);a.createInterpolant=this.createInterpolant;return a}});Ze.prototype=Object.assign(Object.create(sa.prototype),{constructor:Ze,ValueTypeName:&quot;bool&quot;,ValueBufferType:Array,DefaultInterpolation:2300,InterpolantFactoryMethodLinear:void 0,InterpolantFactoryMethodSmooth:void 0});$e.prototype=Object.assign(Object.create(sa.prototype),{constructor:$e,ValueTypeName:&quot;color&quot;});\n",
       "dd.prototype=Object.assign(Object.create(sa.prototype),{constructor:dd,ValueTypeName:&quot;number&quot;});af.prototype=Object.assign(Object.create(La.prototype),{constructor:af,interpolate_:function(a,b,c,d){var e=this.resultBuffer,f=this.sampleValues,g=this.valueSize;a*=g;b=(c-b)/(d-b);for(c=a+g;a!==c;a+=4)Aa.slerpFlat(e,0,f,a-g,f,a,b);return e}});oe.prototype=Object.assign(Object.create(sa.prototype),{constructor:oe,ValueTypeName:&quot;quaternion&quot;,DefaultInterpolation:2301,InterpolantFactoryMethodLinear:function(a){return new af(this.times,\n",
       "this.values,this.getValueSize(),a)},InterpolantFactoryMethodSmooth:void 0});bf.prototype=Object.assign(Object.create(sa.prototype),{constructor:bf,ValueTypeName:&quot;string&quot;,ValueBufferType:Array,DefaultInterpolation:2300,InterpolantFactoryMethodLinear:void 0,InterpolantFactoryMethodSmooth:void 0});ed.prototype=Object.assign(Object.create(sa.prototype),{constructor:ed,ValueTypeName:&quot;vector&quot;});Object.assign(Qa,{parse:function(a){for(var b=[],c=a.tracks,d=1/(a.fps||1),e=0,f=c.length;e!==f;++e)b.push(Qk(c[e]).scale(d));\n",
       "return new Qa(a.name,a.duration,b)},toJSON:function(a){var b=[],c=a.tracks;a={name:a.name,duration:a.duration,tracks:b,uuid:a.uuid};for(var d=0,e=c.length;d!==e;++d)b.push(sa.toJSON(c[d]));return a},CreateFromMorphTargetSequence:function(a,b,c,d){for(var e=b.length,f=[],g=0;g<e;g++){var h=[],l=[];h.push((g+e-1)%e,g,(g+1)%e);l.push(0,1,0);var k=R.getKeyframeOrder(h);h=R.sortedArray(h,1,k);l=R.sortedArray(l,1,k);d||0!==h[0]||(h.push(e),l.push(l[0]));f.push((new dd(&quot;.morphTargetInfluences[&quot;+b[g].name+\n",
       "&quot;]&quot;,h,l)).scale(1/c))}return new Qa(a,-1,f)},findByName:function(a,b){var c=a;Array.isArray(a)||(c=a.geometry&&a.geometry.animations||a.animations);for(a=0;a<c.length;a++)if(c[a].name===b)return c[a];return null},CreateClipsFromMorphTargetSequences:function(a,b,c){for(var d={},e=/^([\\w-]*?)([\\d]+)$/,f=0,g=a.length;f<g;f++){var h=a[f],l=h.name.match(e);if(l&&1<l.length){var k=l[1];(l=d[k])||(d[k]=l=[]);l.push(h)}}a=[];for(k in d)a.push(Qa.CreateFromMorphTargetSequence(k,d[k],b,c));return a},parseAnimation:function(a,\n",
       "b){if(!a)return console.error(&quot;THREE.AnimationClip: No animation in JSONLoader data.&quot;),null;var c=function(a,b,c,d,e){if(0!==c.length){var f=[],g=[];R.flattenJSON(c,f,g,d);0!==f.length&&e.push(new a(b,f,g))}},d=[],e=a.name||&quot;default&quot;,f=a.length||-1,g=a.fps||30;a=a.hierarchy||[];for(var h=0;h<a.length;h++){var l=a[h].keys;if(l&&0!==l.length)if(l[0].morphTargets){f={};for(var k=0;k<l.length;k++)if(l[k].morphTargets)for(var n=0;n<l[k].morphTargets.length;n++)f[l[k].morphTargets[n]]=-1;for(var p in f){var x=\n",
       "[],r=[];for(n=0;n!==l[k].morphTargets.length;++n){var q=l[k];x.push(q.time);r.push(q.morphTarget===p?1:0)}d.push(new dd(&quot;.morphTargetInfluence[&quot;+p+&quot;]&quot;,x,r))}f=f.length*(g||1)}else k=&quot;.bones[&quot;+b[h].name+&quot;]&quot;,c(ed,k+&quot;.position&quot;,l,&quot;pos&quot;,d),c(oe,k+&quot;.quaternion&quot;,l,&quot;rot&quot;,d),c(ed,k+&quot;.scale&quot;,l,&quot;scl&quot;,d)}return 0===d.length?null:new Qa(e,f,d)}});Object.assign(Qa.prototype,{resetDuration:function(){for(var a=0,b=0,c=this.tracks.length;b!==c;++b){var d=this.tracks[b];a=Math.max(a,d.times[d.times.length-1])}this.duration=\n",
       "a;return this},trim:function(){for(var a=0;a<this.tracks.length;a++)this.tracks[a].trim(0,this.duration);return this},validate:function(){for(var a=!0,b=0;b<this.tracks.length;b++)a=a&&this.tracks[b].validate();return a},optimize:function(){for(var a=0;a<this.tracks.length;a++)this.tracks[a].optimize();return this},clone:function(){for(var a=[],b=0;b<this.tracks.length;b++)a.push(this.tracks[b].clone());return new Qa(this.name,this.duration,a)}});var vc={enabled:!1,files:{},add:function(a,b){!1!==\n",
       "this.enabled&&(this.files[a]=b)},get:function(a){if(!1!==this.enabled)return this.files[a]},remove:function(a){delete this.files[a]},clear:function(){this.files={}}},ki=new vg;Object.assign(W.prototype,{load:function(){},parse:function(){},setCrossOrigin:function(a){this.crossOrigin=a;return this},setPath:function(a){this.path=a;return this},setResourcePath:function(a){this.resourcePath=a;return this}});var cb={};Ra.prototype=Object.assign(Object.create(W.prototype),{constructor:Ra,load:function(a,\n",
       "b,c,d){void 0===a&&(a=&quot;&quot;);void 0!==this.path&&(a=this.path+a);a=this.manager.resolveURL(a);var e=this,f=vc.get(a);if(void 0!==f)return e.manager.itemStart(a),setTimeout(function(){b&&b(f);e.manager.itemEnd(a)},0),f;if(void 0!==cb[a])cb[a].push({onLoad:b,onProgress:c,onError:d});else{var g=a.match(/^data:(.*?)(;base64)?,(.*)$/);if(g){c=g[1];var h=!!g[2];g=g[3];g=decodeURIComponent(g);h&&(g=atob(g));try{var l=(this.responseType||&quot;&quot;).toLowerCase();switch(l){case &quot;arraybuffer&quot;:case &quot;blob&quot;:var k=new Uint8Array(g.length);\n",
       "for(h=0;h<g.length;h++)k[h]=g.charCodeAt(h);var n=&quot;blob&quot;===l?new Blob([k.buffer],{type:c}):k.buffer;break;case &quot;document&quot;:n=(new DOMParser).parseFromString(g,c);break;case &quot;json&quot;:n=JSON.parse(g);break;default:n=g}setTimeout(function(){b&&b(n);e.manager.itemEnd(a)},0)}catch(x){setTimeout(function(){d&&d(x);e.manager.itemError(a);e.manager.itemEnd(a)},0)}}else{cb[a]=[];cb[a].push({onLoad:b,onProgress:c,onError:d});var p=new XMLHttpRequest;p.open(&quot;GET&quot;,a,!0);p.addEventListener(&quot;load&quot;,function(b){var c=\n",
       "this.response,d=cb[a];delete cb[a];if(200===this.status||0===this.status){0===this.status&&console.warn(&quot;THREE.FileLoader: HTTP Status 0 received.&quot;);vc.add(a,c);for(var f=0,g=d.length;f<g;f++){var h=d[f];if(h.onLoad)h.onLoad(c)}}else{f=0;for(g=d.length;f<g;f++)if(h=d[f],h.onError)h.onError(b);e.manager.itemError(a)}e.manager.itemEnd(a)},!1);p.addEventListener(&quot;progress&quot;,function(b){for(var c=cb[a],d=0,e=c.length;d<e;d++){var f=c[d];if(f.onProgress)f.onProgress(b)}},!1);p.addEventListener(&quot;error&quot;,\n",
       "function(b){var c=cb[a];delete cb[a];for(var d=0,f=c.length;d<f;d++){var g=c[d];if(g.onError)g.onError(b)}e.manager.itemError(a);e.manager.itemEnd(a)},!1);p.addEventListener(&quot;abort&quot;,function(b){var c=cb[a];delete cb[a];for(var d=0,f=c.length;d<f;d++){var g=c[d];if(g.onError)g.onError(b)}e.manager.itemError(a);e.manager.itemEnd(a)},!1);void 0!==this.responseType&&(p.responseType=this.responseType);void 0!==this.withCredentials&&(p.withCredentials=this.withCredentials);p.overrideMimeType&&p.overrideMimeType(void 0!==\n",
       "this.mimeType?this.mimeType:&quot;text/plain&quot;);for(h in this.requestHeader)p.setRequestHeader(h,this.requestHeader[h]);p.send(null)}e.manager.itemStart(a);return p}},setResponseType:function(a){this.responseType=a;return this},setWithCredentials:function(a){this.withCredentials=a;return this},setMimeType:function(a){this.mimeType=a;return this},setRequestHeader:function(a){this.requestHeader=a;return this}});wg.prototype=Object.assign(Object.create(W.prototype),{constructor:wg,load:function(a,b,c,d){var e=\n",
       "this,f=new Ra(e.manager);f.setPath(e.path);f.load(a,function(a){b(e.parse(JSON.parse(a)))},c,d)},parse:function(a){for(var b=[],c=0;c<a.length;c++){var d=Qa.parse(a[c]);b.push(d)}return b}});xg.prototype=Object.assign(Object.create(W.prototype),{constructor:xg,load:function(a,b,c,d){function e(e){l.load(a[e],function(a){a=f.parse(a,!0);g[e]={width:a.width,height:a.height,format:a.format,mipmaps:a.mipmaps};k+=1;6===k&&(1===a.mipmapCount&&(h.minFilter=1006),h.format=a.format,h.needsUpdate=!0,b&&b(h))},\n",
       "c,d)}var f=this,g=[],h=new Qc;h.image=g;var l=new Ra(this.manager);l.setPath(this.path);l.setResponseType(&quot;arraybuffer&quot;);if(Array.isArray(a))for(var k=0,n=0,p=a.length;n<p;++n)e(n);else l.load(a,function(a){a=f.parse(a,!0);if(a.isCubemap)for(var c=a.mipmaps.length/a.mipmapCount,d=0;d<c;d++){g[d]={mipmaps:[]};for(var e=0;e<a.mipmapCount;e++)g[d].mipmaps.push(a.mipmaps[d*a.mipmapCount+e]),g[d].format=a.format,g[d].width=a.width,g[d].height=a.height}else h.image.width=a.width,h.image.height=a.height,\n",
       "h.mipmaps=a.mipmaps;1===a.mipmapCount&&(h.minFilter=1006);h.format=a.format;h.needsUpdate=!0;b&&b(h)},c,d);return h}});cf.prototype=Object.assign(Object.create(W.prototype),{constructor:cf,load:function(a,b,c,d){var e=this,f=new ac,g=new Ra(this.manager);g.setResponseType(&quot;arraybuffer&quot;);g.setPath(this.path);g.load(a,function(a){if(a=e.parse(a))void 0!==a.image?f.image=a.image:void 0!==a.data&&(f.image.width=a.width,f.image.height=a.height,f.image.data=a.data),f.wrapS=void 0!==a.wrapS?a.wrapS:1001,\n",
       "f.wrapT=void 0!==a.wrapT?a.wrapT:1001,f.magFilter=void 0!==a.magFilter?a.magFilter:1006,f.minFilter=void 0!==a.minFilter?a.minFilter:1006,f.anisotropy=void 0!==a.anisotropy?a.anisotropy:1,void 0!==a.format&&(f.format=a.format),void 0!==a.type&&(f.type=a.type),void 0!==a.mipmaps&&(f.mipmaps=a.mipmaps,f.minFilter=1008),1===a.mipmapCount&&(f.minFilter=1006),f.needsUpdate=!0,b&&b(f,a)},c,d);return f}});fd.prototype=Object.assign(Object.create(W.prototype),{constructor:fd,load:function(a,b,c,d){function e(){l.removeEventListener(&quot;load&quot;,\n",
       "e,!1);l.removeEventListener(&quot;error&quot;,f,!1);vc.add(a,this);b&&b(this);g.manager.itemEnd(a)}function f(b){l.removeEventListener(&quot;load&quot;,e,!1);l.removeEventListener(&quot;error&quot;,f,!1);d&&d(b);g.manager.itemError(a);g.manager.itemEnd(a)}void 0!==this.path&&(a=this.path+a);a=this.manager.resolveURL(a);var g=this,h=vc.get(a);if(void 0!==h)return g.manager.itemStart(a),setTimeout(function(){b&&b(h);g.manager.itemEnd(a)},0),h;var l=document.createElementNS(&quot;http://www.w3.org/1999/xhtml&quot;,&quot;img&quot;);l.addEventListener(&quot;load&quot;,\n",
       "e,!1);l.addEventListener(&quot;error&quot;,f,!1);&quot;data:&quot;!==a.substr(0,5)&&void 0!==this.crossOrigin&&(l.crossOrigin=this.crossOrigin);g.manager.itemStart(a);l.src=a;return l}});df.prototype=Object.assign(Object.create(W.prototype),{constructor:df,load:function(a,b,c,d){function e(c){g.load(a[c],function(a){f.images[c]=a;h++;6===h&&(f.needsUpdate=!0,b&&b(f))},void 0,d)}var f=new qb,g=new fd(this.manager);g.setCrossOrigin(this.crossOrigin);g.setPath(this.path);var h=0;for(c=0;c<a.length;++c)e(c);return f}});\n",
       "ef.prototype=Object.assign(Object.create(W.prototype),{constructor:ef,load:function(a,b,c,d){var e=new V,f=new fd(this.manager);f.setCrossOrigin(this.crossOrigin);f.setPath(this.path);f.load(a,function(c){e.image=c;c=0<a.search(/\\.jpe?g($|\\?)/i)||0===a.search(/^data:image\\/jpeg/);e.format=c?1022:1023;e.needsUpdate=!0;void 0!==b&&b(e)},c,d);return e}});Object.assign(G.prototype,{getPoint:function(){console.warn(&quot;THREE.Curve: .getPoint() not implemented.&quot;);return null},getPointAt:function(a,b){a=this.getUtoTmapping(a);\n",
       "return this.getPoint(a,b)},getPoints:function(a){void 0===a&&(a=5);for(var b=[],c=0;c<=a;c++)b.push(this.getPoint(c/a));return b},getSpacedPoints:function(a){void 0===a&&(a=5);for(var b=[],c=0;c<=a;c++)b.push(this.getPointAt(c/a));return b},getLength:function(){var a=this.getLengths();return a[a.length-1]},getLengths:function(a){void 0===a&&(a=this.arcLengthDivisions);if(this.cacheArcLengths&&this.cacheArcLengths.length===a+1&&!this.needsUpdate)return this.cacheArcLengths;this.needsUpdate=!1;var b=\n",
       "[],c=this.getPoint(0),d,e=0;b.push(0);for(d=1;d<=a;d++){var f=this.getPoint(d/a);e+=f.distanceTo(c);b.push(e);c=f}return this.cacheArcLengths=b},updateArcLengths:function(){this.needsUpdate=!0;this.getLengths()},getUtoTmapping:function(a,b){var c=this.getLengths(),d=c.length;b=b?b:a*c[d-1];for(var e=0,f=d-1,g;e<=f;)if(a=Math.floor(e+(f-e)/2),g=c[a]-b,0>g)e=a+1;else if(0<g)f=a-1;else{f=a;break}a=f;if(c[a]===b)return a/(d-1);e=c[a];return(a+(b-e)/(c[a+1]-e))/(d-1)},getTangent:function(a){var b=a-1E-4;\n",
       "a+=1E-4;0>b&&(b=0);1<a&&(a=1);b=this.getPoint(b);return this.getPoint(a).clone().sub(b).normalize()},getTangentAt:function(a){a=this.getUtoTmapping(a);return this.getTangent(a)},computeFrenetFrames:function(a,b){var c=new n,d=[],e=[],f=[],g=new n,h=new P,l;for(l=0;l<=a;l++){var k=l/a;d[l]=this.getTangentAt(k);d[l].normalize()}e[0]=new n;f[0]=new n;l=Number.MAX_VALUE;k=Math.abs(d[0].x);var u=Math.abs(d[0].y),p=Math.abs(d[0].z);k<=l&&(l=k,c.set(1,0,0));u<=l&&(l=u,c.set(0,1,0));p<=l&&c.set(0,0,1);g.crossVectors(d[0],\n",
       "c).normalize();e[0].crossVectors(d[0],g);f[0].crossVectors(d[0],e[0]);for(l=1;l<=a;l++)e[l]=e[l-1].clone(),f[l]=f[l-1].clone(),g.crossVectors(d[l-1],d[l]),g.length()>Number.EPSILON&&(g.normalize(),c=Math.acos(L.clamp(d[l-1].dot(d[l]),-1,1)),e[l].applyMatrix4(h.makeRotationAxis(g,c))),f[l].crossVectors(d[l],e[l]);if(!0===b)for(c=Math.acos(L.clamp(e[0].dot(e[a]),-1,1)),c/=a,0<d[0].dot(g.crossVectors(e[0],e[a]))&&(c=-c),l=1;l<=a;l++)e[l].applyMatrix4(h.makeRotationAxis(d[l],c*l)),f[l].crossVectors(d[l],\n",
       "e[l]);return{tangents:d,normals:e,binormals:f}},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.arcLengthDivisions=a.arcLengthDivisions;return this},toJSON:function(){var a={metadata:{version:4.5,type:&quot;Curve&quot;,generator:&quot;Curve.toJSON&quot;}};a.arcLengthDivisions=this.arcLengthDivisions;a.type=this.type;return a},fromJSON:function(a){this.arcLengthDivisions=a.arcLengthDivisions;return this}});Ma.prototype=Object.create(G.prototype);Ma.prototype.constructor=Ma;Ma.prototype.isEllipseCurve=\n",
       "!0;Ma.prototype.getPoint=function(a,b){b=b||new t;for(var c=2*Math.PI,d=this.aEndAngle-this.aStartAngle,e=Math.abs(d)<Number.EPSILON;0>d;)d+=c;for(;d>c;)d-=c;d<Number.EPSILON&&(d=e?0:c);!0!==this.aClockwise||e||(d=d===c?-c:d-c);c=this.aStartAngle+a*d;a=this.aX+this.xRadius*Math.cos(c);var f=this.aY+this.yRadius*Math.sin(c);0!==this.aRotation&&(c=Math.cos(this.aRotation),d=Math.sin(this.aRotation),e=a-this.aX,f-=this.aY,a=e*c-f*d+this.aX,f=e*d+f*c+this.aY);return b.set(a,f)};Ma.prototype.copy=function(a){G.prototype.copy.call(this,\n",
       "a);this.aX=a.aX;this.aY=a.aY;this.xRadius=a.xRadius;this.yRadius=a.yRadius;this.aStartAngle=a.aStartAngle;this.aEndAngle=a.aEndAngle;this.aClockwise=a.aClockwise;this.aRotation=a.aRotation;return this};Ma.prototype.toJSON=function(){var a=G.prototype.toJSON.call(this);a.aX=this.aX;a.aY=this.aY;a.xRadius=this.xRadius;a.yRadius=this.yRadius;a.aStartAngle=this.aStartAngle;a.aEndAngle=this.aEndAngle;a.aClockwise=this.aClockwise;a.aRotation=this.aRotation;return a};Ma.prototype.fromJSON=function(a){G.prototype.fromJSON.call(this,\n",
       "a);this.aX=a.aX;this.aY=a.aY;this.xRadius=a.xRadius;this.yRadius=a.yRadius;this.aStartAngle=a.aStartAngle;this.aEndAngle=a.aEndAngle;this.aClockwise=a.aClockwise;this.aRotation=a.aRotation;return this};gd.prototype=Object.create(Ma.prototype);gd.prototype.constructor=gd;gd.prototype.isArcCurve=!0;var Tf=new n,ph=new yg,qh=new yg,rh=new yg;pa.prototype=Object.create(G.prototype);pa.prototype.constructor=pa;pa.prototype.isCatmullRomCurve3=!0;pa.prototype.getPoint=function(a,b){b=b||new n;var c=this.points,\n",
       "d=c.length;a*=d-(this.closed?0:1);var e=Math.floor(a);a-=e;this.closed?e+=0<e?0:(Math.floor(Math.abs(e)/d)+1)*d:0===a&&e===d-1&&(e=d-2,a=1);if(this.closed||0<e)var f=c[(e-1)%d];else Tf.subVectors(c[0],c[1]).add(c[0]),f=Tf;var g=c[e%d];var h=c[(e+1)%d];this.closed||e+2<d?c=c[(e+2)%d]:(Tf.subVectors(c[d-1],c[d-2]).add(c[d-1]),c=Tf);if(&quot;centripetal&quot;===this.curveType||&quot;chordal&quot;===this.curveType){var l=&quot;chordal&quot;===this.curveType?.5:.25;d=Math.pow(f.distanceToSquared(g),l);e=Math.pow(g.distanceToSquared(h),\n",
       "l);l=Math.pow(h.distanceToSquared(c),l);1E-4>e&&(e=1);1E-4>d&&(d=e);1E-4>l&&(l=e);ph.initNonuniformCatmullRom(f.x,g.x,h.x,c.x,d,e,l);qh.initNonuniformCatmullRom(f.y,g.y,h.y,c.y,d,e,l);rh.initNonuniformCatmullRom(f.z,g.z,h.z,c.z,d,e,l)}else&quot;catmullrom&quot;===this.curveType&&(ph.initCatmullRom(f.x,g.x,h.x,c.x,this.tension),qh.initCatmullRom(f.y,g.y,h.y,c.y,this.tension),rh.initCatmullRom(f.z,g.z,h.z,c.z,this.tension));b.set(ph.calc(a),qh.calc(a),rh.calc(a));return b};pa.prototype.copy=function(a){G.prototype.copy.call(this,\n",
       "a);this.points=[];for(var b=0,c=a.points.length;b<c;b++)this.points.push(a.points[b].clone());this.closed=a.closed;this.curveType=a.curveType;this.tension=a.tension;return this};pa.prototype.toJSON=function(){var a=G.prototype.toJSON.call(this);a.points=[];for(var b=0,c=this.points.length;b<c;b++)a.points.push(this.points[b].toArray());a.closed=this.closed;a.curveType=this.curveType;a.tension=this.tension;return a};pa.prototype.fromJSON=function(a){G.prototype.fromJSON.call(this,a);this.points=[];\n",
       "for(var b=0,c=a.points.length;b<c;b++){var d=a.points[b];this.points.push((new n).fromArray(d))}this.closed=a.closed;this.curveType=a.curveType;this.tension=a.tension;return this};Wa.prototype=Object.create(G.prototype);Wa.prototype.constructor=Wa;Wa.prototype.isCubicBezierCurve=!0;Wa.prototype.getPoint=function(a,b){b=b||new t;var c=this.v0,d=this.v1,e=this.v2,f=this.v3;b.set(qe(a,c.x,d.x,e.x,f.x),qe(a,c.y,d.y,e.y,f.y));return b};Wa.prototype.copy=function(a){G.prototype.copy.call(this,a);this.v0.copy(a.v0);\n",
       "this.v1.copy(a.v1);this.v2.copy(a.v2);this.v3.copy(a.v3);return this};Wa.prototype.toJSON=function(){var a=G.prototype.toJSON.call(this);a.v0=this.v0.toArray();a.v1=this.v1.toArray();a.v2=this.v2.toArray();a.v3=this.v3.toArray();return a};Wa.prototype.fromJSON=function(a){G.prototype.fromJSON.call(this,a);this.v0.fromArray(a.v0);this.v1.fromArray(a.v1);this.v2.fromArray(a.v2);this.v3.fromArray(a.v3);return this};hb.prototype=Object.create(G.prototype);hb.prototype.constructor=hb;hb.prototype.isCubicBezierCurve3=\n",
       "!0;hb.prototype.getPoint=function(a,b){b=b||new n;var c=this.v0,d=this.v1,e=this.v2,f=this.v3;b.set(qe(a,c.x,d.x,e.x,f.x),qe(a,c.y,d.y,e.y,f.y),qe(a,c.z,d.z,e.z,f.z));return b};hb.prototype.copy=function(a){G.prototype.copy.call(this,a);this.v0.copy(a.v0);this.v1.copy(a.v1);this.v2.copy(a.v2);this.v3.copy(a.v3);return this};hb.prototype.toJSON=function(){var a=G.prototype.toJSON.call(this);a.v0=this.v0.toArray();a.v1=this.v1.toArray();a.v2=this.v2.toArray();a.v3=this.v3.toArray();return a};hb.prototype.fromJSON=\n",
       "function(a){G.prototype.fromJSON.call(this,a);this.v0.fromArray(a.v0);this.v1.fromArray(a.v1);this.v2.fromArray(a.v2);this.v3.fromArray(a.v3);return this};Da.prototype=Object.create(G.prototype);Da.prototype.constructor=Da;Da.prototype.isLineCurve=!0;Da.prototype.getPoint=function(a,b){b=b||new t;1===a?b.copy(this.v2):(b.copy(this.v2).sub(this.v1),b.multiplyScalar(a).add(this.v1));return b};Da.prototype.getPointAt=function(a,b){return this.getPoint(a,b)};Da.prototype.getTangent=function(){return this.v2.clone().sub(this.v1).normalize()};\n",
       "Da.prototype.copy=function(a){G.prototype.copy.call(this,a);this.v1.copy(a.v1);this.v2.copy(a.v2);return this};Da.prototype.toJSON=function(){var a=G.prototype.toJSON.call(this);a.v1=this.v1.toArray();a.v2=this.v2.toArray();return a};Da.prototype.fromJSON=function(a){G.prototype.fromJSON.call(this,a);this.v1.fromArray(a.v1);this.v2.fromArray(a.v2);return this};Xa.prototype=Object.create(G.prototype);Xa.prototype.constructor=Xa;Xa.prototype.isLineCurve3=!0;Xa.prototype.getPoint=function(a,b){b=b||\n",
       "new n;1===a?b.copy(this.v2):(b.copy(this.v2).sub(this.v1),b.multiplyScalar(a).add(this.v1));return b};Xa.prototype.getPointAt=function(a,b){return this.getPoint(a,b)};Xa.prototype.copy=function(a){G.prototype.copy.call(this,a);this.v1.copy(a.v1);this.v2.copy(a.v2);return this};Xa.prototype.toJSON=function(){var a=G.prototype.toJSON.call(this);a.v1=this.v1.toArray();a.v2=this.v2.toArray();return a};Xa.prototype.fromJSON=function(a){G.prototype.fromJSON.call(this,a);this.v1.fromArray(a.v1);this.v2.fromArray(a.v2);\n",
       "return this};Ya.prototype=Object.create(G.prototype);Ya.prototype.constructor=Ya;Ya.prototype.isQuadraticBezierCurve=!0;Ya.prototype.getPoint=function(a,b){b=b||new t;var c=this.v0,d=this.v1,e=this.v2;b.set(pe(a,c.x,d.x,e.x),pe(a,c.y,d.y,e.y));return b};Ya.prototype.copy=function(a){G.prototype.copy.call(this,a);this.v0.copy(a.v0);this.v1.copy(a.v1);this.v2.copy(a.v2);return this};Ya.prototype.toJSON=function(){var a=G.prototype.toJSON.call(this);a.v0=this.v0.toArray();a.v1=this.v1.toArray();a.v2=\n",
       "this.v2.toArray();return a};Ya.prototype.fromJSON=function(a){G.prototype.fromJSON.call(this,a);this.v0.fromArray(a.v0);this.v1.fromArray(a.v1);this.v2.fromArray(a.v2);return this};ib.prototype=Object.create(G.prototype);ib.prototype.constructor=ib;ib.prototype.isQuadraticBezierCurve3=!0;ib.prototype.getPoint=function(a,b){b=b||new n;var c=this.v0,d=this.v1,e=this.v2;b.set(pe(a,c.x,d.x,e.x),pe(a,c.y,d.y,e.y),pe(a,c.z,d.z,e.z));return b};ib.prototype.copy=function(a){G.prototype.copy.call(this,a);\n",
       "this.v0.copy(a.v0);this.v1.copy(a.v1);this.v2.copy(a.v2);return this};ib.prototype.toJSON=function(){var a=G.prototype.toJSON.call(this);a.v0=this.v0.toArray();a.v1=this.v1.toArray();a.v2=this.v2.toArray();return a};ib.prototype.fromJSON=function(a){G.prototype.fromJSON.call(this,a);this.v0.fromArray(a.v0);this.v1.fromArray(a.v1);this.v2.fromArray(a.v2);return this};Za.prototype=Object.create(G.prototype);Za.prototype.constructor=Za;Za.prototype.isSplineCurve=!0;Za.prototype.getPoint=function(a,b){b=\n",
       "b||new t;var c=this.points,d=(c.length-1)*a;a=Math.floor(d);d-=a;var e=c[0===a?a:a-1],f=c[a],g=c[a>c.length-2?c.length-1:a+1];c=c[a>c.length-3?c.length-1:a+2];b.set(li(d,e.x,f.x,g.x,c.x),li(d,e.y,f.y,g.y,c.y));return b};Za.prototype.copy=function(a){G.prototype.copy.call(this,a);this.points=[];for(var b=0,c=a.points.length;b<c;b++)this.points.push(a.points[b].clone());return this};Za.prototype.toJSON=function(){var a=G.prototype.toJSON.call(this);a.points=[];for(var b=0,c=this.points.length;b<c;b++)a.points.push(this.points[b].toArray());\n",
       "return a};Za.prototype.fromJSON=function(a){G.prototype.fromJSON.call(this,a);this.points=[];for(var b=0,c=a.points.length;b<c;b++){var d=a.points[b];this.points.push((new t).fromArray(d))}return this};var sh=Object.freeze({__proto__:null,ArcCurve:gd,CatmullRomCurve3:pa,CubicBezierCurve:Wa,CubicBezierCurve3:hb,EllipseCurve:Ma,LineCurve:Da,LineCurve3:Xa,QuadraticBezierCurve:Ya,QuadraticBezierCurve3:ib,SplineCurve:Za});vb.prototype=Object.assign(Object.create(G.prototype),{constructor:vb,add:function(a){this.curves.push(a)},\n",
       "closePath:function(){var a=this.curves[0].getPoint(0),b=this.curves[this.curves.length-1].getPoint(1);a.equals(b)||this.curves.push(new Da(b,a))},getPoint:function(a){var b=a*this.getLength(),c=this.getCurveLengths();for(a=0;a<c.length;){if(c[a]>=b)return b=c[a]-b,a=this.curves[a],c=a.getLength(),a.getPointAt(0===c?0:1-b/c);a++}return null},getLength:function(){var a=this.getCurveLengths();return a[a.length-1]},updateArcLengths:function(){this.needsUpdate=!0;this.cacheLengths=null;this.getCurveLengths()},\n",
       "getCurveLengths:function(){if(this.cacheLengths&&this.cacheLengths.length===this.curves.length)return this.cacheLengths;for(var a=[],b=0,c=0,d=this.curves.length;c<d;c++)b+=this.curves[c].getLength(),a.push(b);return this.cacheLengths=a},getSpacedPoints:function(a){void 0===a&&(a=40);for(var b=[],c=0;c<=a;c++)b.push(this.getPoint(c/a));this.autoClose&&b.push(b[0]);return b},getPoints:function(a){a=a||12;for(var b=[],c,d=0,e=this.curves;d<e.length;d++){var f=e[d];f=f.getPoints(f&&f.isEllipseCurve?\n",
       "2*a:f&&(f.isLineCurve||f.isLineCurve3)?1:f&&f.isSplineCurve?a*f.points.length:a);for(var g=0;g<f.length;g++){var h=f[g];c&&c.equals(h)||(b.push(h),c=h)}}this.autoClose&&1<b.length&&!b[b.length-1].equals(b[0])&&b.push(b[0]);return b},copy:function(a){G.prototype.copy.call(this,a);this.curves=[];for(var b=0,c=a.curves.length;b<c;b++)this.curves.push(a.curves[b].clone());this.autoClose=a.autoClose;return this},toJSON:function(){var a=G.prototype.toJSON.call(this);a.autoClose=this.autoClose;a.curves=\n",
       "[];for(var b=0,c=this.curves.length;b<c;b++)a.curves.push(this.curves[b].toJSON());return a},fromJSON:function(a){G.prototype.fromJSON.call(this,a);this.autoClose=a.autoClose;this.curves=[];for(var b=0,c=a.curves.length;b<c;b++){var d=a.curves[b];this.curves.push((new sh[d.type]).fromJSON(d))}return this}});$a.prototype=Object.assign(Object.create(vb.prototype),{constructor:$a,setFromPoints:function(a){this.moveTo(a[0].x,a[0].y);for(var b=1,c=a.length;b<c;b++)this.lineTo(a[b].x,a[b].y);return this},\n",
       "moveTo:function(a,b){this.currentPoint.set(a,b);return this},lineTo:function(a,b){var c=new Da(this.currentPoint.clone(),new t(a,b));this.curves.push(c);this.currentPoint.set(a,b);return this},quadraticCurveTo:function(a,b,c,d){a=new Ya(this.currentPoint.clone(),new t(a,b),new t(c,d));this.curves.push(a);this.currentPoint.set(c,d);return this},bezierCurveTo:function(a,b,c,d,e,f){a=new Wa(this.currentPoint.clone(),new t(a,b),new t(c,d),new t(e,f));this.curves.push(a);this.currentPoint.set(e,f);return this},\n",
       "splineThru:function(a){var b=[this.currentPoint.clone()].concat(a);b=new Za(b);this.curves.push(b);this.currentPoint.copy(a[a.length-1]);return this},arc:function(a,b,c,d,e,f){this.absarc(a+this.currentPoint.x,b+this.currentPoint.y,c,d,e,f);return this},absarc:function(a,b,c,d,e,f){this.absellipse(a,b,c,c,d,e,f);return this},ellipse:function(a,b,c,d,e,f,g,h){this.absellipse(a+this.currentPoint.x,b+this.currentPoint.y,c,d,e,f,g,h);return this},absellipse:function(a,b,c,d,e,f,g,h){a=new Ma(a,b,c,d,\n",
       "e,f,g,h);0<this.curves.length&&(b=a.getPoint(0),b.equals(this.currentPoint)||this.lineTo(b.x,b.y));this.curves.push(a);a=a.getPoint(1);this.currentPoint.copy(a);return this},copy:function(a){vb.prototype.copy.call(this,a);this.currentPoint.copy(a.currentPoint);return this},toJSON:function(){var a=vb.prototype.toJSON.call(this);a.currentPoint=this.currentPoint.toArray();return a},fromJSON:function(a){vb.prototype.fromJSON.call(this,a);this.currentPoint.fromArray(a.currentPoint);return this}});Kb.prototype=\n",
       "Object.assign(Object.create($a.prototype),{constructor:Kb,getPointsHoles:function(a){for(var b=[],c=0,d=this.holes.length;c<d;c++)b[c]=this.holes[c].getPoints(a);return b},extractPoints:function(a){return{shape:this.getPoints(a),holes:this.getPointsHoles(a)}},copy:function(a){$a.prototype.copy.call(this,a);this.holes=[];for(var b=0,c=a.holes.length;b<c;b++)this.holes.push(a.holes[b].clone());return this},toJSON:function(){var a=$a.prototype.toJSON.call(this);a.uuid=this.uuid;a.holes=[];for(var b=\n",
       "0,c=this.holes.length;b<c;b++)a.holes.push(this.holes[b].toJSON());return a},fromJSON:function(a){$a.prototype.fromJSON.call(this,a);this.uuid=a.uuid;this.holes=[];for(var b=0,c=a.holes.length;b<c;b++){var d=a.holes[b];this.holes.push((new $a).fromJSON(d))}return this}});da.prototype=Object.assign(Object.create(F.prototype),{constructor:da,isLight:!0,copy:function(a){F.prototype.copy.call(this,a);this.color.copy(a.color);this.intensity=a.intensity;return this},toJSON:function(a){a=F.prototype.toJSON.call(this,\n",
       "a);a.object.color=this.color.getHex();a.object.intensity=this.intensity;void 0!==this.groundColor&&(a.object.groundColor=this.groundColor.getHex());void 0!==this.distance&&(a.object.distance=this.distance);void 0!==this.angle&&(a.object.angle=this.angle);void 0!==this.decay&&(a.object.decay=this.decay);void 0!==this.penumbra&&(a.object.penumbra=this.penumbra);void 0!==this.shadow&&(a.object.shadow=this.shadow.toJSON());return a}});ff.prototype=Object.assign(Object.create(da.prototype),{constructor:ff,\n",
       "isHemisphereLight:!0,copy:function(a){da.prototype.copy.call(this,a);this.groundColor.copy(a.groundColor);return this}});Object.assign(jb.prototype,{_projScreenMatrix:new P,_lightPositionWorld:new n,_lookTarget:new n,getViewportCount:function(){return this._viewportCount},getFrustum:function(){return this._frustum},updateMatrices:function(a){var b=this.camera,c=this.matrix,d=this._projScreenMatrix,e=this._lookTarget,f=this._lightPositionWorld;f.setFromMatrixPosition(a.matrixWorld);b.position.copy(f);\n",
       "e.setFromMatrixPosition(a.target.matrixWorld);b.lookAt(e);b.updateMatrixWorld();d.multiplyMatrices(b.projectionMatrix,b.matrixWorldInverse);this._frustum.setFromProjectionMatrix(d);c.set(.5,0,0,.5,0,.5,0,.5,0,0,.5,.5,0,0,0,1);c.multiply(b.projectionMatrix);c.multiply(b.matrixWorldInverse)},getViewport:function(a){return this._viewports[a]},getFrameExtents:function(){return this._frameExtents},copy:function(a){this.camera=a.camera.clone();this.bias=a.bias;this.radius=a.radius;this.mapSize.copy(a.mapSize);\n",
       "return this},clone:function(){return(new this.constructor).copy(this)},toJSON:function(){var a={};0!==this.bias&&(a.bias=this.bias);1!==this.radius&&(a.radius=this.radius);if(512!==this.mapSize.x||512!==this.mapSize.y)a.mapSize=this.mapSize.toArray();a.camera=this.camera.toJSON(!1).object;delete a.camera.matrix;return a}});gf.prototype=Object.assign(Object.create(jb.prototype),{constructor:gf,isSpotLightShadow:!0,updateMatrices:function(a){var b=this.camera,c=2*L.RAD2DEG*a.angle,d=this.mapSize.width/\n",
       "this.mapSize.height,e=a.distance||b.far;if(c!==b.fov||d!==b.aspect||e!==b.far)b.fov=c,b.aspect=d,b.far=e,b.updateProjectionMatrix();jb.prototype.updateMatrices.call(this,a)}});hf.prototype=Object.assign(Object.create(da.prototype),{constructor:hf,isSpotLight:!0,copy:function(a){da.prototype.copy.call(this,a);this.distance=a.distance;this.angle=a.angle;this.penumbra=a.penumbra;this.decay=a.decay;this.target=a.target.clone();this.shadow=a.shadow.clone();return this}});zg.prototype=Object.assign(Object.create(jb.prototype),\n",
       "{constructor:zg,isPointLightShadow:!0,updateMatrices:function(a,b){void 0===b&&(b=0);var c=this.camera,d=this.matrix,e=this._lightPositionWorld,f=this._lookTarget,g=this._projScreenMatrix;e.setFromMatrixPosition(a.matrixWorld);c.position.copy(e);f.copy(c.position);f.add(this._cubeDirections[b]);c.up.copy(this._cubeUps[b]);c.lookAt(f);c.updateMatrixWorld();d.makeTranslation(-e.x,-e.y,-e.z);g.multiplyMatrices(c.projectionMatrix,c.matrixWorldInverse);this._frustum.setFromProjectionMatrix(g)}});jf.prototype=\n",
       "Object.assign(Object.create(da.prototype),{constructor:jf,isPointLight:!0,copy:function(a){da.prototype.copy.call(this,a);this.distance=a.distance;this.decay=a.decay;this.shadow=a.shadow.clone();return this}});hd.prototype=Object.assign(Object.create(db.prototype),{constructor:hd,isOrthographicCamera:!0,copy:function(a,b){db.prototype.copy.call(this,a,b);this.left=a.left;this.right=a.right;this.top=a.top;this.bottom=a.bottom;this.near=a.near;this.far=a.far;this.zoom=a.zoom;this.view=null===a.view?\n",
       "null:Object.assign({},a.view);return this},setViewOffset:function(a,b,c,d,e,f){null===this.view&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1});this.view.enabled=!0;this.view.fullWidth=a;this.view.fullHeight=b;this.view.offsetX=c;this.view.offsetY=d;this.view.width=e;this.view.height=f;this.updateProjectionMatrix()},clearViewOffset:function(){null!==this.view&&(this.view.enabled=!1);this.updateProjectionMatrix()},updateProjectionMatrix:function(){var a=(this.right-\n",
       "this.left)/(2*this.zoom),b=(this.top-this.bottom)/(2*this.zoom),c=(this.right+this.left)/2,d=(this.top+this.bottom)/2,e=c-a;c+=a;a=d+b;b=d-b;null!==this.view&&this.view.enabled&&(d=(this.right-this.left)/this.view.fullWidth/this.zoom,b=(this.top-this.bottom)/this.view.fullHeight/this.zoom,e+=d*this.view.offsetX,c=e+d*this.view.width,a-=b*this.view.offsetY,b=a-b*this.view.height);this.projectionMatrix.makeOrthographic(e,c,a,b,this.near,this.far);this.projectionMatrixInverse.getInverse(this.projectionMatrix)},\n",
       "toJSON:function(a){a=F.prototype.toJSON.call(this,a);a.object.zoom=this.zoom;a.object.left=this.left;a.object.right=this.right;a.object.top=this.top;a.object.bottom=this.bottom;a.object.near=this.near;a.object.far=this.far;null!==this.view&&(a.object.view=Object.assign({},this.view));return a}});kf.prototype=Object.assign(Object.create(jb.prototype),{constructor:kf,isDirectionalLightShadow:!0,updateMatrices:function(a){jb.prototype.updateMatrices.call(this,a)}});lf.prototype=Object.assign(Object.create(da.prototype),\n",
       "{constructor:lf,isDirectionalLight:!0,copy:function(a){da.prototype.copy.call(this,a);this.target=a.target.clone();this.shadow=a.shadow.clone();return this}});mf.prototype=Object.assign(Object.create(da.prototype),{constructor:mf,isAmbientLight:!0});nf.prototype=Object.assign(Object.create(da.prototype),{constructor:nf,isRectAreaLight:!0,copy:function(a){da.prototype.copy.call(this,a);this.width=a.width;this.height=a.height;return this},toJSON:function(a){a=da.prototype.toJSON.call(this,a);a.object.width=\n",
       "this.width;a.object.height=this.height;return a}});of.prototype=Object.assign(Object.create(W.prototype),{constructor:of,load:function(a,b,c,d){var e=this,f=new Ra(e.manager);f.setPath(e.path);f.load(a,function(a){b(e.parse(JSON.parse(a)))},c,d)},parse:function(a){function b(a){void 0===c[a]&&console.warn(&quot;THREE.MaterialLoader: Undefined texture&quot;,a);return c[a]}var c=this.textures,d=new bl[a.type];void 0!==a.uuid&&(d.uuid=a.uuid);void 0!==a.name&&(d.name=a.name);void 0!==a.color&&d.color.setHex(a.color);\n",
       "void 0!==a.roughness&&(d.roughness=a.roughness);void 0!==a.metalness&&(d.metalness=a.metalness);void 0!==a.sheen&&(d.sheen=(new A).setHex(a.sheen));void 0!==a.emissive&&d.emissive.setHex(a.emissive);void 0!==a.specular&&d.specular.setHex(a.specular);void 0!==a.shininess&&(d.shininess=a.shininess);void 0!==a.clearcoat&&(d.clearcoat=a.clearcoat);void 0!==a.clearcoatRoughness&&(d.clearcoatRoughness=a.clearcoatRoughness);void 0!==a.fog&&(d.fog=a.fog);void 0!==a.flatShading&&(d.flatShading=a.flatShading);\n",
       "void 0!==a.blending&&(d.blending=a.blending);void 0!==a.combine&&(d.combine=a.combine);void 0!==a.side&&(d.side=a.side);void 0!==a.opacity&&(d.opacity=a.opacity);void 0!==a.transparent&&(d.transparent=a.transparent);void 0!==a.alphaTest&&(d.alphaTest=a.alphaTest);void 0!==a.depthTest&&(d.depthTest=a.depthTest);void 0!==a.depthWrite&&(d.depthWrite=a.depthWrite);void 0!==a.colorWrite&&(d.colorWrite=a.colorWrite);void 0!==a.stencilWrite&&(d.stencilWrite=a.stencilWrite);void 0!==a.stencilWriteMask&&(d.stencilWriteMask=\n",
       "a.stencilWriteMask);void 0!==a.stencilFunc&&(d.stencilFunc=a.stencilFunc);void 0!==a.stencilRef&&(d.stencilRef=a.stencilRef);void 0!==a.stencilFuncMask&&(d.stencilFuncMask=a.stencilFuncMask);void 0!==a.stencilFail&&(d.stencilFail=a.stencilFail);void 0!==a.stencilZFail&&(d.stencilZFail=a.stencilZFail);void 0!==a.stencilZPass&&(d.stencilZPass=a.stencilZPass);void 0!==a.wireframe&&(d.wireframe=a.wireframe);void 0!==a.wireframeLinewidth&&(d.wireframeLinewidth=a.wireframeLinewidth);void 0!==a.wireframeLinecap&&\n",
       "(d.wireframeLinecap=a.wireframeLinecap);void 0!==a.wireframeLinejoin&&(d.wireframeLinejoin=a.wireframeLinejoin);void 0!==a.rotation&&(d.rotation=a.rotation);1!==a.linewidth&&(d.linewidth=a.linewidth);void 0!==a.dashSize&&(d.dashSize=a.dashSize);void 0!==a.gapSize&&(d.gapSize=a.gapSize);void 0!==a.scale&&(d.scale=a.scale);void 0!==a.polygonOffset&&(d.polygonOffset=a.polygonOffset);void 0!==a.polygonOffsetFactor&&(d.polygonOffsetFactor=a.polygonOffsetFactor);void 0!==a.polygonOffsetUnits&&(d.polygonOffsetUnits=\n",
       "a.polygonOffsetUnits);void 0!==a.skinning&&(d.skinning=a.skinning);void 0!==a.morphTargets&&(d.morphTargets=a.morphTargets);void 0!==a.morphNormals&&(d.morphNormals=a.morphNormals);void 0!==a.dithering&&(d.dithering=a.dithering);void 0!==a.vertexTangents&&(d.vertexTangents=a.vertexTangents);void 0!==a.visible&&(d.visible=a.visible);void 0!==a.toneMapped&&(d.toneMapped=a.toneMapped);void 0!==a.userData&&(d.userData=a.userData);void 0!==a.vertexColors&&(d.vertexColors=&quot;number&quot;===typeof a.vertexColors?\n",
       "0<a.vertexColors?!0:!1:a.vertexColors);if(void 0!==a.uniforms)for(var e in a.uniforms){var f=a.uniforms[e];d.uniforms[e]={};switch(f.type){case &quot;t&quot;:d.uniforms[e].value=b(f.value);break;case &quot;c&quot;:d.uniforms[e].value=(new A).setHex(f.value);break;case &quot;v2&quot;:d.uniforms[e].value=(new t).fromArray(f.value);break;case &quot;v3&quot;:d.uniforms[e].value=(new n).fromArray(f.value);break;case &quot;v4&quot;:d.uniforms[e].value=(new ka).fromArray(f.value);break;case &quot;m3&quot;:d.uniforms[e].value=(new wa).fromArray(f.value);case &quot;m4&quot;:d.uniforms[e].value=\n",
       "(new P).fromArray(f.value);break;default:d.uniforms[e].value=f.value}}void 0!==a.defines&&(d.defines=a.defines);void 0!==a.vertexShader&&(d.vertexShader=a.vertexShader);void 0!==a.fragmentShader&&(d.fragmentShader=a.fragmentShader);if(void 0!==a.extensions)for(var g in a.extensions)d.extensions[g]=a.extensions[g];void 0!==a.shading&&(d.flatShading=1===a.shading);void 0!==a.size&&(d.size=a.size);void 0!==a.sizeAttenuation&&(d.sizeAttenuation=a.sizeAttenuation);void 0!==a.map&&(d.map=b(a.map));void 0!==\n",
       "a.matcap&&(d.matcap=b(a.matcap));void 0!==a.alphaMap&&(d.alphaMap=b(a.alphaMap));void 0!==a.bumpMap&&(d.bumpMap=b(a.bumpMap));void 0!==a.bumpScale&&(d.bumpScale=a.bumpScale);void 0!==a.normalMap&&(d.normalMap=b(a.normalMap));void 0!==a.normalMapType&&(d.normalMapType=a.normalMapType);void 0!==a.normalScale&&(e=a.normalScale,!1===Array.isArray(e)&&(e=[e,e]),d.normalScale=(new t).fromArray(e));void 0!==a.displacementMap&&(d.displacementMap=b(a.displacementMap));void 0!==a.displacementScale&&(d.displacementScale=\n",
       "a.displacementScale);void 0!==a.displacementBias&&(d.displacementBias=a.displacementBias);void 0!==a.roughnessMap&&(d.roughnessMap=b(a.roughnessMap));void 0!==a.metalnessMap&&(d.metalnessMap=b(a.metalnessMap));void 0!==a.emissiveMap&&(d.emissiveMap=b(a.emissiveMap));void 0!==a.emissiveIntensity&&(d.emissiveIntensity=a.emissiveIntensity);void 0!==a.specularMap&&(d.specularMap=b(a.specularMap));void 0!==a.envMap&&(d.envMap=b(a.envMap));void 0!==a.envMapIntensity&&(d.envMapIntensity=a.envMapIntensity);\n",
       "void 0!==a.reflectivity&&(d.reflectivity=a.reflectivity);void 0!==a.refractionRatio&&(d.refractionRatio=a.refractionRatio);void 0!==a.lightMap&&(d.lightMap=b(a.lightMap));void 0!==a.lightMapIntensity&&(d.lightMapIntensity=a.lightMapIntensity);void 0!==a.aoMap&&(d.aoMap=b(a.aoMap));void 0!==a.aoMapIntensity&&(d.aoMapIntensity=a.aoMapIntensity);void 0!==a.gradientMap&&(d.gradientMap=b(a.gradientMap));void 0!==a.clearcoatMap&&(d.clearcoatMap=b(a.clearcoatMap));void 0!==a.clearcoatRoughnessMap&&(d.clearcoatRoughnessMap=\n",
       "b(a.clearcoatRoughnessMap));void 0!==a.clearcoatNormalMap&&(d.clearcoatNormalMap=b(a.clearcoatNormalMap));void 0!==a.clearcoatNormalScale&&(d.clearcoatNormalScale=(new t).fromArray(a.clearcoatNormalScale));return d},setTextures:function(a){this.textures=a;return this}});var th={decodeText:function(a){if(&quot;undefined&quot;!==typeof TextDecoder)return(new TextDecoder).decode(a);for(var b=&quot;&quot;,c=0,d=a.length;c<d;c++)b+=String.fromCharCode(a[c]);try{return decodeURIComponent(escape(b))}catch(e){return b}},extractUrlBase:function(a){var b=\n",
       "a.lastIndexOf(&quot;/&quot;);return-1===b?&quot;./&quot;:a.substr(0,b+1)}};pf.prototype=Object.assign(Object.create(C.prototype),{constructor:pf,isInstancedBufferGeometry:!0,copy:function(a){C.prototype.copy.call(this,a);this.maxInstancedCount=a.maxInstancedCount;return this},clone:function(){return(new this.constructor).copy(this)},toJSON:function(){var a=C.prototype.toJSON.call(this);a.maxInstancedCount=this.maxInstancedCount;a.isInstancedBufferGeometry=!0;return a}});qf.prototype=Object.assign(Object.create(M.prototype),\n",
       "{constructor:qf,isInstancedBufferAttribute:!0,copy:function(a){M.prototype.copy.call(this,a);this.meshPerAttribute=a.meshPerAttribute;return this},toJSON:function(){var a=M.prototype.toJSON.call(this);a.meshPerAttribute=this.meshPerAttribute;a.isInstancedBufferAttribute=!0;return a}});rf.prototype=Object.assign(Object.create(W.prototype),{constructor:rf,load:function(a,b,c,d){var e=this,f=new Ra(e.manager);f.setPath(e.path);f.load(a,function(a){b(e.parse(JSON.parse(a)))},c,d)},parse:function(a){var b=\n",
       "a.isInstancedBufferGeometry?new pf:new C,c=a.data.index;if(void 0!==c){var d=new uh[c.type](c.array);b.setIndex(new M(d,1))}c=a.data.attributes;for(var e in c){var f=c[e];d=new uh[f.type](f.array);d=new (f.isInstancedBufferAttribute?qf:M)(d,f.itemSize,f.normalized);void 0!==f.name&&(d.name=f.name);b.setAttribute(e,d)}var g=a.data.morphAttributes;if(g)for(e in g){var h=g[e],l=[];c=0;for(var k=h.length;c<k;c++)f=h[c],d=new uh[f.type](f.array),d=new M(d,f.itemSize,f.normalized),void 0!==f.name&&(d.name=\n",
       "f.name),l.push(d);b.morphAttributes[e]=l}a.data.morphTargetsRelative&&(b.morphTargetsRelative=!0);e=a.data.groups||a.data.drawcalls||a.data.offsets;if(void 0!==e)for(c=0,f=e.length;c!==f;++c)d=e[c],b.addGroup(d.start,d.count,d.materialIndex);c=a.data.boundingSphere;void 0!==c&&(e=new n,void 0!==c.center&&e.fromArray(c.center),b.boundingSphere=new pb(e,c.radius));a.name&&(b.name=a.name);a.userData&&(b.userData=a.userData);return b}});var uh={Int8Array:Int8Array,Uint8Array:Uint8Array,Uint8ClampedArray:&quot;undefined&quot;!==\n",
       "typeof Uint8ClampedArray?Uint8ClampedArray:Uint8Array,Int16Array:Int16Array,Uint16Array:Uint16Array,Int32Array:Int32Array,Uint32Array:Uint32Array,Float32Array:Float32Array,Float64Array:Float64Array};sf.prototype=Object.assign(Object.create(W.prototype),{constructor:sf,load:function(a,b,c,d){var e=this,f=&quot;&quot;===this.path?th.extractUrlBase(a):this.path;this.resourcePath=this.resourcePath||f;f=new Ra(e.manager);f.setPath(this.path);f.load(a,function(c){var f=null;try{f=JSON.parse(c)}catch(l){void 0!==\n",
       "d&&d(l);console.error(&quot;THREE:ObjectLoader: Can't parse &quot;+a+&quot;.&quot;,l.message);return}c=f.metadata;void 0===c||void 0===c.type||&quot;geometry&quot;===c.type.toLowerCase()?console.error(&quot;THREE.ObjectLoader: Can't load &quot;+a):e.parse(f,b)},c,d)},parse:function(a,b){var c=this.parseShape(a.shapes);c=this.parseGeometries(a.geometries,c);var d=this.parseImages(a.images,function(){void 0!==b&&b(e)});d=this.parseTextures(a.textures,d);d=this.parseMaterials(a.materials,d);var e=this.parseObject(a.object,c,d);a.animations&&\n",
       "(e.animations=this.parseAnimations(a.animations));void 0!==a.images&&0!==a.images.length||void 0===b||b(e);return e},parseShape:function(a){var b={};if(void 0!==a)for(var c=0,d=a.length;c<d;c++){var e=(new Kb).fromJSON(a[c]);b[e.uuid]=e}return b},parseGeometries:function(a,b){var c={};if(void 0!==a)for(var d=new rf,e=0,f=a.length;e<f;e++){var g=a[e];switch(g.type){case &quot;PlaneGeometry&quot;:case &quot;PlaneBufferGeometry&quot;:var h=new ua[g.type](g.width,g.height,g.widthSegments,g.heightSegments);break;case &quot;BoxGeometry&quot;:case &quot;BoxBufferGeometry&quot;:case &quot;CubeGeometry&quot;:h=\n",
       "new ua[g.type](g.width,g.height,g.depth,g.widthSegments,g.heightSegments,g.depthSegments);break;case &quot;CircleGeometry&quot;:case &quot;CircleBufferGeometry&quot;:h=new ua[g.type](g.radius,g.segments,g.thetaStart,g.thetaLength);break;case &quot;CylinderGeometry&quot;:case &quot;CylinderBufferGeometry&quot;:h=new ua[g.type](g.radiusTop,g.radiusBottom,g.height,g.radialSegments,g.heightSegments,g.openEnded,g.thetaStart,g.thetaLength);break;case &quot;ConeGeometry&quot;:case &quot;ConeBufferGeometry&quot;:h=new ua[g.type](g.radius,g.height,g.radialSegments,\n",
       "g.heightSegments,g.openEnded,g.thetaStart,g.thetaLength);break;case &quot;SphereGeometry&quot;:case &quot;SphereBufferGeometry&quot;:h=new ua[g.type](g.radius,g.widthSegments,g.heightSegments,g.phiStart,g.phiLength,g.thetaStart,g.thetaLength);break;case &quot;DodecahedronGeometry&quot;:case &quot;DodecahedronBufferGeometry&quot;:case &quot;IcosahedronGeometry&quot;:case &quot;IcosahedronBufferGeometry&quot;:case &quot;OctahedronGeometry&quot;:case &quot;OctahedronBufferGeometry&quot;:case &quot;TetrahedronGeometry&quot;:case &quot;TetrahedronBufferGeometry&quot;:h=new ua[g.type](g.radius,g.detail);\n",
       "break;case &quot;RingGeometry&quot;:case &quot;RingBufferGeometry&quot;:h=new ua[g.type](g.innerRadius,g.outerRadius,g.thetaSegments,g.phiSegments,g.thetaStart,g.thetaLength);break;case &quot;TorusGeometry&quot;:case &quot;TorusBufferGeometry&quot;:h=new ua[g.type](g.radius,g.tube,g.radialSegments,g.tubularSegments,g.arc);break;case &quot;TorusKnotGeometry&quot;:case &quot;TorusKnotBufferGeometry&quot;:h=new ua[g.type](g.radius,g.tube,g.tubularSegments,g.radialSegments,g.p,g.q);break;case &quot;TubeGeometry&quot;:case &quot;TubeBufferGeometry&quot;:h=new ua[g.type]((new sh[g.path.type]).fromJSON(g.path),\n",
       "g.tubularSegments,g.radius,g.radialSegments,g.closed);break;case &quot;LatheGeometry&quot;:case &quot;LatheBufferGeometry&quot;:h=new ua[g.type](g.points,g.segments,g.phiStart,g.phiLength);break;case &quot;PolyhedronGeometry&quot;:case &quot;PolyhedronBufferGeometry&quot;:h=new ua[g.type](g.vertices,g.indices,g.radius,g.details);break;case &quot;ShapeGeometry&quot;:case &quot;ShapeBufferGeometry&quot;:h=[];for(var l=0,k=g.shapes.length;l<k;l++){var n=b[g.shapes[l]];h.push(n)}h=new ua[g.type](h,g.curveSegments);break;case &quot;ExtrudeGeometry&quot;:case &quot;ExtrudeBufferGeometry&quot;:h=\n",
       "[];l=0;for(k=g.shapes.length;l<k;l++)n=b[g.shapes[l]],h.push(n);l=g.options.extrudePath;void 0!==l&&(g.options.extrudePath=(new sh[l.type]).fromJSON(l));h=new ua[g.type](h,g.options);break;case &quot;BufferGeometry&quot;:case &quot;InstancedBufferGeometry&quot;:h=d.parse(g);break;case &quot;Geometry&quot;:console.error('THREE.ObjectLoader: Loading &quot;Geometry&quot; is not supported anymore.');break;default:console.warn('THREE.ObjectLoader: Unsupported geometry type &quot;'+g.type+'&quot;');continue}h.uuid=g.uuid;void 0!==g.name&&(h.name=g.name);\n",
       "!0===h.isBufferGeometry&&void 0!==g.userData&&(h.userData=g.userData);c[g.uuid]=h}return c},parseMaterials:function(a,b){var c={},d={};if(void 0!==a){var e=new of;e.setTextures(b);b=0;for(var f=a.length;b<f;b++){var g=a[b];if(&quot;MultiMaterial&quot;===g.type){for(var h=[],l=0;l<g.materials.length;l++){var k=g.materials[l];void 0===c[k.uuid]&&(c[k.uuid]=e.parse(k));h.push(c[k.uuid])}d[g.uuid]=h}else void 0===c[g.uuid]&&(c[g.uuid]=e.parse(g)),d[g.uuid]=c[g.uuid]}}return d},parseAnimations:function(a){for(var b=\n",
       "[],c=0;c<a.length;c++){var d=a[c],e=Qa.parse(d);void 0!==d.uuid&&(e.uuid=d.uuid);b.push(e)}return b},parseImages:function(a,b){function c(a){d.manager.itemStart(a);return f.load(a,function(){d.manager.itemEnd(a)},void 0,function(){d.manager.itemError(a);d.manager.itemEnd(a)})}var d=this,e={};if(void 0!==a&&0<a.length){b=new vg(b);var f=new fd(b);f.setCrossOrigin(this.crossOrigin);b=0;for(var g=a.length;b<g;b++){var h=a[b],l=h.url;if(Array.isArray(l)){e[h.uuid]=[];for(var k=0,n=l.length;k<n;k++){var p=\n",
       "l[k];p=/^(\\/\\/)|([a-z]+:(\\/\\/)?)/i.test(p)?p:d.resourcePath+p;e[h.uuid].push(c(p))}}else p=/^(\\/\\/)|([a-z]+:(\\/\\/)?)/i.test(h.url)?h.url:d.resourcePath+h.url,e[h.uuid]=c(p)}}return e},parseTextures:function(a,b){function c(a,b){if(&quot;number&quot;===typeof a)return a;console.warn(&quot;THREE.ObjectLoader.parseTexture: Constant should be in numeric form.&quot;,a);return b[a]}var d={};if(void 0!==a)for(var e=0,f=a.length;e<f;e++){var g=a[e];void 0===g.image&&console.warn('THREE.ObjectLoader: No &quot;image&quot; specified for',\n",
       "g.uuid);void 0===b[g.image]&&console.warn(&quot;THREE.ObjectLoader: Undefined image&quot;,g.image);var h=Array.isArray(b[g.image])?new qb(b[g.image]):new V(b[g.image]);h.needsUpdate=!0;h.uuid=g.uuid;void 0!==g.name&&(h.name=g.name);void 0!==g.mapping&&(h.mapping=c(g.mapping,cl));void 0!==g.offset&&h.offset.fromArray(g.offset);void 0!==g.repeat&&h.repeat.fromArray(g.repeat);void 0!==g.center&&h.center.fromArray(g.center);void 0!==g.rotation&&(h.rotation=g.rotation);void 0!==g.wrap&&(h.wrapS=c(g.wrap[0],aj),\n",
       "h.wrapT=c(g.wrap[1],aj));void 0!==g.format&&(h.format=g.format);void 0!==g.type&&(h.type=g.type);void 0!==g.encoding&&(h.encoding=g.encoding);void 0!==g.minFilter&&(h.minFilter=c(g.minFilter,bj));void 0!==g.magFilter&&(h.magFilter=c(g.magFilter,bj));void 0!==g.anisotropy&&(h.anisotropy=g.anisotropy);void 0!==g.flipY&&(h.flipY=g.flipY);void 0!==g.premultiplyAlpha&&(h.premultiplyAlpha=g.premultiplyAlpha);void 0!==g.unpackAlignment&&(h.unpackAlignment=g.unpackAlignment);d[g.uuid]=h}return d},parseObject:function(a,\n",
       "b,c){function d(a){void 0===b[a]&&console.warn(&quot;THREE.ObjectLoader: Undefined geometry&quot;,a);return b[a]}function e(a){if(void 0!==a){if(Array.isArray(a)){for(var b=[],d=0,e=a.length;d<e;d++){var f=a[d];void 0===c[f]&&console.warn(&quot;THREE.ObjectLoader: Undefined material&quot;,f);b.push(c[f])}return b}void 0===c[a]&&console.warn(&quot;THREE.ObjectLoader: Undefined material&quot;,a);return c[a]}}switch(a.type){case &quot;Scene&quot;:var f=new ob;void 0!==a.background&&Number.isInteger(a.background)&&(f.background=new A(a.background));\n",
       "void 0!==a.fog&&(&quot;Fog&quot;===a.fog.type?f.fog=new Re(a.fog.color,a.fog.near,a.fog.far):&quot;FogExp2&quot;===a.fog.type&&(f.fog=new Qe(a.fog.color,a.fog.density)));break;case &quot;PerspectiveCamera&quot;:f=new aa(a.fov,a.aspect,a.near,a.far);void 0!==a.focus&&(f.focus=a.focus);void 0!==a.zoom&&(f.zoom=a.zoom);void 0!==a.filmGauge&&(f.filmGauge=a.filmGauge);void 0!==a.filmOffset&&(f.filmOffset=a.filmOffset);void 0!==a.view&&(f.view=Object.assign({},a.view));break;case &quot;OrthographicCamera&quot;:f=new hd(a.left,a.right,a.top,a.bottom,\n",
       "a.near,a.far);void 0!==a.zoom&&(f.zoom=a.zoom);void 0!==a.view&&(f.view=Object.assign({},a.view));break;case &quot;AmbientLight&quot;:f=new mf(a.color,a.intensity);break;case &quot;DirectionalLight&quot;:f=new lf(a.color,a.intensity);break;case &quot;PointLight&quot;:f=new jf(a.color,a.intensity,a.distance,a.decay);break;case &quot;RectAreaLight&quot;:f=new nf(a.color,a.intensity,a.width,a.height);break;case &quot;SpotLight&quot;:f=new hf(a.color,a.intensity,a.distance,a.angle,a.penumbra,a.decay);break;case &quot;HemisphereLight&quot;:f=new ff(a.color,a.groundColor,\n",
       "a.intensity);break;case &quot;SkinnedMesh&quot;:console.warn(&quot;THREE.ObjectLoader.parseObject() does not support SkinnedMesh yet.&quot;);case &quot;Mesh&quot;:f=d(a.geometry);var g=e(a.material);f=new S(f,g);break;case &quot;InstancedMesh&quot;:f=d(a.geometry);g=e(a.material);var h=a.instanceMatrix;f=new Ve(f,g,a.count);f.instanceMatrix=new M(new Float32Array(h.array),16);break;case &quot;LOD&quot;:f=new Rd;break;case &quot;Line&quot;:f=new Ka(d(a.geometry),e(a.material),a.mode);break;case &quot;LineLoop&quot;:f=new We(d(a.geometry),e(a.material));break;case &quot;LineSegments&quot;:f=\n",
       "new ma(d(a.geometry),e(a.material));break;case &quot;PointCloud&quot;:case &quot;Points&quot;:f=new Pc(d(a.geometry),e(a.material));break;case &quot;Sprite&quot;:f=new Pd(e(a.material));break;case &quot;Group&quot;:f=new Mc;break;default:f=new F}f.uuid=a.uuid;void 0!==a.name&&(f.name=a.name);void 0!==a.matrix?(f.matrix.fromArray(a.matrix),void 0!==a.matrixAutoUpdate&&(f.matrixAutoUpdate=a.matrixAutoUpdate),f.matrixAutoUpdate&&f.matrix.decompose(f.position,f.quaternion,f.scale)):(void 0!==a.position&&f.position.fromArray(a.position),void 0!==\n",
       "a.rotation&&f.rotation.fromArray(a.rotation),void 0!==a.quaternion&&f.quaternion.fromArray(a.quaternion),void 0!==a.scale&&f.scale.fromArray(a.scale));void 0!==a.castShadow&&(f.castShadow=a.castShadow);void 0!==a.receiveShadow&&(f.receiveShadow=a.receiveShadow);a.shadow&&(void 0!==a.shadow.bias&&(f.shadow.bias=a.shadow.bias),void 0!==a.shadow.radius&&(f.shadow.radius=a.shadow.radius),void 0!==a.shadow.mapSize&&f.shadow.mapSize.fromArray(a.shadow.mapSize),void 0!==a.shadow.camera&&(f.shadow.camera=\n",
       "this.parseObject(a.shadow.camera)));void 0!==a.visible&&(f.visible=a.visible);void 0!==a.frustumCulled&&(f.frustumCulled=a.frustumCulled);void 0!==a.renderOrder&&(f.renderOrder=a.renderOrder);void 0!==a.userData&&(f.userData=a.userData);void 0!==a.layers&&(f.layers.mask=a.layers);if(void 0!==a.children)for(h=a.children,g=0;g<h.length;g++)f.add(this.parseObject(h[g],b,c));if(&quot;LOD&quot;===a.type)for(void 0!==a.autoUpdate&&(f.autoUpdate=a.autoUpdate),a=a.levels,h=0;h<a.length;h++){g=a[h];var l=f.getObjectByProperty(&quot;uuid&quot;,\n",
       "g.object);void 0!==l&&f.addLevel(l,g.distance)}return f}});var cl={UVMapping:300,CubeReflectionMapping:301,CubeRefractionMapping:302,EquirectangularReflectionMapping:303,EquirectangularRefractionMapping:304,SphericalReflectionMapping:305,CubeUVReflectionMapping:306,CubeUVRefractionMapping:307},aj={RepeatWrapping:1E3,ClampToEdgeWrapping:1001,MirroredRepeatWrapping:1002},bj={NearestFilter:1003,NearestMipmapNearestFilter:1004,NearestMipmapLinearFilter:1005,LinearFilter:1006,LinearMipmapNearestFilter:1007,\n",
       "LinearMipmapLinearFilter:1008};Ag.prototype=Object.assign(Object.create(W.prototype),{constructor:Ag,setOptions:function(a){this.options=a;return this},load:function(a,b,c,d){void 0===a&&(a=&quot;&quot;);void 0!==this.path&&(a=this.path+a);a=this.manager.resolveURL(a);var e=this,f=vc.get(a);if(void 0!==f)return e.manager.itemStart(a),setTimeout(function(){b&&b(f);e.manager.itemEnd(a)},0),f;fetch(a).then(function(a){return a.blob()}).then(function(a){return void 0===e.options?createImageBitmap(a):createImageBitmap(a,\n",
       "e.options)}).then(function(c){vc.add(a,c);b&&b(c);e.manager.itemEnd(a)}).catch(function(b){d&&d(b);e.manager.itemError(a);e.manager.itemEnd(a)});e.manager.itemStart(a)}});Object.assign(Bg.prototype,{moveTo:function(a,b){this.currentPath=new $a;this.subPaths.push(this.currentPath);this.currentPath.moveTo(a,b);return this},lineTo:function(a,b){this.currentPath.lineTo(a,b);return this},quadraticCurveTo:function(a,b,c,d){this.currentPath.quadraticCurveTo(a,b,c,d);return this},bezierCurveTo:function(a,\n",
       "b,c,d,e,f){this.currentPath.bezierCurveTo(a,b,c,d,e,f);return this},splineThru:function(a){this.currentPath.splineThru(a);return this},toShapes:function(a,b){function c(a){for(var b=[],c=0,d=a.length;c<d;c++){var e=a[c],f=new Kb;f.curves=e.curves;b.push(f)}return b}function d(a,b){for(var c=b.length,d=!1,e=c-1,f=0;f<c;e=f++){var g=b[e],h=b[f],k=h.x-g.x,l=h.y-g.y;if(Math.abs(l)>Number.EPSILON){if(0>l&&(g=b[f],k=-k,h=b[e],l=-l),!(a.y<g.y||a.y>h.y))if(a.y===g.y){if(a.x===g.x)return!0}else{e=l*(a.x-g.x)-\n",
       "k*(a.y-g.y);if(0===e)return!0;0>e||(d=!d)}}else if(a.y===g.y&&(h.x<=a.x&&a.x<=g.x||g.x<=a.x&&a.x<=h.x))return!0}return d}var e=sb.isClockWise,f=this.subPaths;if(0===f.length)return[];if(!0===b)return c(f);b=[];if(1===f.length){var g=f[0];var h=new Kb;h.curves=g.curves;b.push(h);return b}var l=!e(f[0].getPoints());l=a?!l:l;h=[];var k=[],n=[],p=0;k[p]=void 0;n[p]=[];for(var t=0,r=f.length;t<r;t++){g=f[t];var q=g.getPoints();var v=e(q);(v=a?!v:v)?(!l&&k[p]&&p++,k[p]={s:new Kb,p:q},k[p].s.curves=g.curves,\n",
       "l&&p++,n[p]=[]):n[p].push({h:g,p:q[0]})}if(!k[0])return c(f);if(1<k.length){t=!1;a=[];e=0;for(f=k.length;e<f;e++)h[e]=[];e=0;for(f=k.length;e<f;e++)for(g=n[e],v=0;v<g.length;v++){l=g[v];p=!0;for(q=0;q<k.length;q++)d(l.p,k[q].p)&&(e!==q&&a.push({froms:e,tos:q,hole:v}),p?(p=!1,h[q].push(l)):t=!0);p&&h[e].push(l)}0<a.length&&(t||(n=h))}t=0;for(e=k.length;t<e;t++)for(h=k[t].s,b.push(h),a=n[t],f=0,g=a.length;f<g;f++)h.holes.push(a[f].h);return b}});Object.assign(Cg.prototype,{isFont:!0,generateShapes:function(a,\n",
       "b){void 0===b&&(b=100);var c=[],d=b;b=this.data;var e=Array.from?Array.from(a):String(a).split(&quot;&quot;);d/=b.resolution;var f=(b.boundingBox.yMax-b.boundingBox.yMin+b.underlineThickness)*d;a=[];for(var g=0,h=0,l=0;l<e.length;l++){var k=e[l];if(&quot;\\n&quot;===k)g=0,h-=f;else{var n=k;k=d;var p=g,t=h,r=b,q=r.glyphs[n]||r.glyphs[&quot;?&quot;];if(q){n=new Bg;if(q.o){r=q._cachedOutline||(q._cachedOutline=q.o.split(&quot; &quot;));for(var v=0,y=r.length;v<y;)switch(r[v++]){case &quot;m&quot;:var w=r[v++]*k+p;var z=r[v++]*k+t;n.moveTo(w,z);break;\n",
       "case &quot;l&quot;:w=r[v++]*k+p;z=r[v++]*k+t;n.lineTo(w,z);break;case &quot;q&quot;:var A=r[v++]*k+p;var C=r[v++]*k+t;var D=r[v++]*k+p;var B=r[v++]*k+t;n.quadraticCurveTo(D,B,A,C);break;case &quot;b&quot;:A=r[v++]*k+p,C=r[v++]*k+t,D=r[v++]*k+p,B=r[v++]*k+t,w=r[v++]*k+p,z=r[v++]*k+t,n.bezierCurveTo(D,B,w,z,A,C)}}k={offsetX:q.ha*k,path:n}}else console.error('THREE.Font: character &quot;'+n+'&quot; does not exists in font family '+r.familyName+&quot;.&quot;),k=void 0;g+=k.offsetX;a.push(k.path)}}b=0;for(e=a.length;b<e;b++)Array.prototype.push.apply(c,\n",
       "a[b].toShapes());return c}});Dg.prototype=Object.assign(Object.create(W.prototype),{constructor:Dg,load:function(a,b,c,d){var e=this,f=new Ra(this.manager);f.setPath(this.path);f.load(a,function(a){try{var c=JSON.parse(a)}catch(l){console.warn(&quot;THREE.FontLoader: typeface.js support is being deprecated. Use typeface.json instead.&quot;),c=JSON.parse(a.substring(65,a.length-2))}a=e.parse(c);b&&b(a)},c,d)},parse:function(a){return new Cg(a)}});var Uf,Ig={getContext:function(){void 0===Uf&&(Uf=new (window.AudioContext||\n",
       "window.webkitAudioContext));return Uf},setContext:function(a){Uf=a}};tf.prototype=Object.assign(Object.create(W.prototype),{constructor:tf,load:function(a,b,c,d){var e=new Ra(this.manager);e.setResponseType(&quot;arraybuffer&quot;);e.setPath(this.path);e.load(a,function(a){a=a.slice(0);Ig.getContext().decodeAudioData(a,function(a){b(a)})},c,d)}});Object.assign(uf.prototype,{isSphericalHarmonics3:!0,set:function(a){for(var b=0;9>b;b++)this.coefficients[b].copy(a[b]);return this},zero:function(){for(var a=0;9>\n",
       "a;a++)this.coefficients[a].set(0,0,0);return this},getAt:function(a,b){var c=a.x,d=a.y;a=a.z;var e=this.coefficients;b.copy(e[0]).multiplyScalar(.282095);b.addScaledVector(e[1],.488603*d);b.addScaledVector(e[2],.488603*a);b.addScaledVector(e[3],.488603*c);b.addScaledVector(e[4],1.092548*c*d);b.addScaledVector(e[5],1.092548*d*a);b.addScaledVector(e[6],.315392*(3*a*a-1));b.addScaledVector(e[7],1.092548*c*a);b.addScaledVector(e[8],.546274*(c*c-d*d));return b},getIrradianceAt:function(a,b){var c=a.x,\n",
       "d=a.y;a=a.z;var e=this.coefficients;b.copy(e[0]).multiplyScalar(.886227);b.addScaledVector(e[1],1.023328*d);b.addScaledVector(e[2],1.023328*a);b.addScaledVector(e[3],1.023328*c);b.addScaledVector(e[4],.858086*c*d);b.addScaledVector(e[5],.858086*d*a);b.addScaledVector(e[6],.743125*a*a-.247708);b.addScaledVector(e[7],.858086*c*a);b.addScaledVector(e[8],.429043*(c*c-d*d));return b},add:function(a){for(var b=0;9>b;b++)this.coefficients[b].add(a.coefficients[b]);return this},addScaledSH:function(a,b){for(var c=\n",
       "0;9>c;c++)this.coefficients[c].addScaledVector(a.coefficients[c],b);return this},scale:function(a){for(var b=0;9>b;b++)this.coefficients[b].multiplyScalar(a);return this},lerp:function(a,b){for(var c=0;9>c;c++)this.coefficients[c].lerp(a.coefficients[c],b);return this},equals:function(a){for(var b=0;9>b;b++)if(!this.coefficients[b].equals(a.coefficients[b]))return!1;return!0},copy:function(a){return this.set(a.coefficients)},clone:function(){return(new this.constructor).copy(this)},fromArray:function(a,\n",
       "b){void 0===b&&(b=0);for(var c=this.coefficients,d=0;9>d;d++)c[d].fromArray(a,b+3*d);return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);for(var c=this.coefficients,d=0;9>d;d++)c[d].toArray(a,b+3*d);return a}});Object.assign(uf,{getBasisAt:function(a,b){var c=a.x,d=a.y;a=a.z;b[0]=.282095;b[1]=.488603*d;b[2]=.488603*a;b[3]=.488603*c;b[4]=1.092548*c*d;b[5]=1.092548*d*a;b[6]=.315392*(3*a*a-1);b[7]=1.092548*c*a;b[8]=.546274*(c*c-d*d)}});ab.prototype=Object.assign(Object.create(da.prototype),\n",
       "{constructor:ab,isLightProbe:!0,copy:function(a){da.prototype.copy.call(this,a);this.sh.copy(a.sh);this.intensity=a.intensity;return this},toJSON:function(a){return da.prototype.toJSON.call(this,a)}});Eg.prototype=Object.assign(Object.create(ab.prototype),{constructor:Eg,isHemisphereLightProbe:!0,copy:function(a){ab.prototype.copy.call(this,a);return this},toJSON:function(a){return ab.prototype.toJSON.call(this,a)}});Fg.prototype=Object.assign(Object.create(ab.prototype),{constructor:Fg,isAmbientLightProbe:!0,\n",
       "copy:function(a){ab.prototype.copy.call(this,a);return this},toJSON:function(a){return ab.prototype.toJSON.call(this,a)}});var cj=new P,dj=new P;Object.assign(mi.prototype,{update:function(a){var b=this._cache;if(b.focus!==a.focus||b.fov!==a.fov||b.aspect!==a.aspect*this.aspect||b.near!==a.near||b.far!==a.far||b.zoom!==a.zoom||b.eyeSep!==this.eyeSep){b.focus=a.focus;b.fov=a.fov;b.aspect=a.aspect*this.aspect;b.near=a.near;b.far=a.far;b.zoom=a.zoom;b.eyeSep=this.eyeSep;var c=a.projectionMatrix.clone(),\n",
       "d=b.eyeSep/2,e=d*b.near/b.focus,f=b.near*Math.tan(L.DEG2RAD*b.fov*.5)/b.zoom;dj.elements[12]=-d;cj.elements[12]=d;d=-f*b.aspect+e;var g=f*b.aspect+e;c.elements[0]=2*b.near/(g-d);c.elements[8]=(g+d)/(g-d);this.cameraL.projectionMatrix.copy(c);d=-f*b.aspect-e;g=f*b.aspect-e;c.elements[0]=2*b.near/(g-d);c.elements[8]=(g+d)/(g-d);this.cameraR.projectionMatrix.copy(c)}this.cameraL.matrixWorld.copy(a.matrixWorld).multiply(dj);this.cameraR.matrixWorld.copy(a.matrixWorld).multiply(cj)}});Object.assign(Gg.prototype,\n",
       "{start:function(){this.oldTime=this.startTime=(&quot;undefined&quot;===typeof performance?Date:performance).now();this.elapsedTime=0;this.running=!0},stop:function(){this.getElapsedTime();this.autoStart=this.running=!1},getElapsedTime:function(){this.getDelta();return this.elapsedTime},getDelta:function(){var a=0;if(this.autoStart&&!this.running)return this.start(),0;if(this.running){var b=(&quot;undefined&quot;===typeof performance?Date:performance).now();a=(b-this.oldTime)/1E3;this.oldTime=b;this.elapsedTime+=a}return a}});\n",
       "var wc=new n,ej=new Aa,dl=new n,xc=new n;Hg.prototype=Object.assign(Object.create(F.prototype),{constructor:Hg,getInput:function(){return this.gain},removeFilter:function(){null!==this.filter&&(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination),this.gain.connect(this.context.destination),this.filter=null);return this},getFilter:function(){return this.filter},setFilter:function(a){null!==this.filter?(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination)):\n",
       "this.gain.disconnect(this.context.destination);this.filter=a;this.gain.connect(this.filter);this.filter.connect(this.context.destination);return this},getMasterVolume:function(){return this.gain.gain.value},setMasterVolume:function(a){this.gain.gain.setTargetAtTime(a,this.context.currentTime,.01);return this},updateMatrixWorld:function(a){F.prototype.updateMatrixWorld.call(this,a);a=this.context.listener;var b=this.up;this.timeDelta=this._clock.getDelta();this.matrixWorld.decompose(wc,ej,dl);xc.set(0,\n",
       "0,-1).applyQuaternion(ej);if(a.positionX){var c=this.context.currentTime+this.timeDelta;a.positionX.linearRampToValueAtTime(wc.x,c);a.positionY.linearRampToValueAtTime(wc.y,c);a.positionZ.linearRampToValueAtTime(wc.z,c);a.forwardX.linearRampToValueAtTime(xc.x,c);a.forwardY.linearRampToValueAtTime(xc.y,c);a.forwardZ.linearRampToValueAtTime(xc.z,c);a.upX.linearRampToValueAtTime(b.x,c);a.upY.linearRampToValueAtTime(b.y,c);a.upZ.linearRampToValueAtTime(b.z,c)}else a.setPosition(wc.x,wc.y,wc.z),a.setOrientation(xc.x,\n",
       "xc.y,xc.z,b.x,b.y,b.z)}});id.prototype=Object.assign(Object.create(F.prototype),{constructor:id,getOutput:function(){return this.gain},setNodeSource:function(a){this.hasPlaybackControl=!1;this.sourceType=&quot;audioNode&quot;;this.source=a;this.connect();return this},setMediaElementSource:function(a){this.hasPlaybackControl=!1;this.sourceType=&quot;mediaNode&quot;;this.source=this.context.createMediaElementSource(a);this.connect();return this},setMediaStreamSource:function(a){this.hasPlaybackControl=!1;this.sourceType=\n",
       "&quot;mediaStreamNode&quot;;this.source=this.context.createMediaStreamSource(a);this.connect();return this},setBuffer:function(a){this.buffer=a;this.sourceType=&quot;buffer&quot;;this.autoplay&&this.play();return this},play:function(a){void 0===a&&(a=0);if(!0===this.isPlaying)console.warn(&quot;THREE.Audio: Audio is already playing.&quot;);else if(!1===this.hasPlaybackControl)console.warn(&quot;THREE.Audio: this Audio has no playback control.&quot;);else return this._startedAt=this.context.currentTime+a,a=this.context.createBufferSource(),\n",
       "a.buffer=this.buffer,a.loop=this.loop,a.loopStart=this.loopStart,a.loopEnd=this.loopEnd,a.onended=this.onEnded.bind(this),a.start(this._startedAt,this._pausedAt+this.offset,this.duration),this.isPlaying=!0,this.source=a,this.setDetune(this.detune),this.setPlaybackRate(this.playbackRate),this.connect()},pause:function(){if(!1===this.hasPlaybackControl)console.warn(&quot;THREE.Audio: this Audio has no playback control.&quot;);else return!0===this.isPlaying&&(this._pausedAt+=Math.max(this.context.currentTime-\n",
       "this._startedAt,0)*this.playbackRate,this.source.stop(),this.source.onended=null,this.isPlaying=!1),this},stop:function(){if(!1===this.hasPlaybackControl)console.warn(&quot;THREE.Audio: this Audio has no playback control.&quot;);else return this._pausedAt=0,this.source.stop(),this.source.onended=null,this.isPlaying=!1,this},connect:function(){if(0<this.filters.length){this.source.connect(this.filters[0]);for(var a=1,b=this.filters.length;a<b;a++)this.filters[a-1].connect(this.filters[a]);this.filters[this.filters.length-\n",
       "1].connect(this.getOutput())}else this.source.connect(this.getOutput());return this},disconnect:function(){if(0<this.filters.length){this.source.disconnect(this.filters[0]);for(var a=1,b=this.filters.length;a<b;a++)this.filters[a-1].disconnect(this.filters[a]);this.filters[this.filters.length-1].disconnect(this.getOutput())}else this.source.disconnect(this.getOutput());return this},getFilters:function(){return this.filters},setFilters:function(a){a||(a=[]);!0===this.isPlaying?(this.disconnect(),this.filters=\n",
       "a,this.connect()):this.filters=a;return this},setDetune:function(a){this.detune=a;if(void 0!==this.source.detune)return!0===this.isPlaying&&this.source.detune.setTargetAtTime(this.detune,this.context.currentTime,.01),this},getDetune:function(){return this.detune},getFilter:function(){return this.getFilters()[0]},setFilter:function(a){return this.setFilters(a?[a]:[])},setPlaybackRate:function(a){if(!1===this.hasPlaybackControl)console.warn(&quot;THREE.Audio: this Audio has no playback control.&quot;);else return this.playbackRate=\n",
       "a,!0===this.isPlaying&&this.source.playbackRate.setTargetAtTime(this.playbackRate,this.context.currentTime,.01),this},getPlaybackRate:function(){return this.playbackRate},onEnded:function(){this.isPlaying=!1},getLoop:function(){return!1===this.hasPlaybackControl?(console.warn(&quot;THREE.Audio: this Audio has no playback control.&quot;),!1):this.loop},setLoop:function(a){if(!1===this.hasPlaybackControl)console.warn(&quot;THREE.Audio: this Audio has no playback control.&quot;);else return this.loop=a,!0===this.isPlaying&&\n",
       "(this.source.loop=this.loop),this},setLoopStart:function(a){this.loopStart=a;return this},setLoopEnd:function(a){this.loopEnd=a;return this},getVolume:function(){return this.gain.gain.value},setVolume:function(a){this.gain.gain.setTargetAtTime(a,this.context.currentTime,.01);return this}});var yc=new n,fj=new Aa,el=new n,zc=new n;Jg.prototype=Object.assign(Object.create(id.prototype),{constructor:Jg,getOutput:function(){return this.panner},getRefDistance:function(){return this.panner.refDistance},\n",
       "setRefDistance:function(a){this.panner.refDistance=a;return this},getRolloffFactor:function(){return this.panner.rolloffFactor},setRolloffFactor:function(a){this.panner.rolloffFactor=a;return this},getDistanceModel:function(){return this.panner.distanceModel},setDistanceModel:function(a){this.panner.distanceModel=a;return this},getMaxDistance:function(){return this.panner.maxDistance},setMaxDistance:function(a){this.panner.maxDistance=a;return this},setDirectionalCone:function(a,b,c){this.panner.coneInnerAngle=\n",
       "a;this.panner.coneOuterAngle=b;this.panner.coneOuterGain=c;return this},updateMatrixWorld:function(a){F.prototype.updateMatrixWorld.call(this,a);if(!0!==this.hasPlaybackControl||!1!==this.isPlaying)if(this.matrixWorld.decompose(yc,fj,el),zc.set(0,0,1).applyQuaternion(fj),a=this.panner,a.positionX){var b=this.context.currentTime+this.listener.timeDelta;a.positionX.linearRampToValueAtTime(yc.x,b);a.positionY.linearRampToValueAtTime(yc.y,b);a.positionZ.linearRampToValueAtTime(yc.z,b);a.orientationX.linearRampToValueAtTime(zc.x,\n",
       "b);a.orientationY.linearRampToValueAtTime(zc.y,b);a.orientationZ.linearRampToValueAtTime(zc.z,b)}else a.setPosition(yc.x,yc.y,yc.z),a.setOrientation(zc.x,zc.y,zc.z)}});Object.assign(Kg.prototype,{getFrequencyData:function(){this.analyser.getByteFrequencyData(this.data);return this.data},getAverageFrequency:function(){for(var a=0,b=this.getFrequencyData(),c=0;c<b.length;c++)a+=b[c];return a/b.length}});Object.assign(Lg.prototype,{accumulate:function(a,b){var c=this.buffer,d=this.valueSize;a=a*d+d;\n",
       "var e=this.cumulativeWeight;if(0===e){for(e=0;e!==d;++e)c[a+e]=c[e];e=b}else e+=b,this._mixBufferRegion(c,a,0,b/e,d);this.cumulativeWeight=e},apply:function(a){var b=this.valueSize,c=this.buffer;a=a*b+b;var d=this.cumulativeWeight,e=this.binding;this.cumulativeWeight=0;1>d&&this._mixBufferRegion(c,a,3*b,1-d,b);d=b;for(var f=b+b;d!==f;++d)if(c[d]!==c[d+b]){e.setValue(c,a);break}},saveOriginalState:function(){var a=this.buffer,b=this.valueSize,c=3*b;this.binding.getValue(a,c);for(var d=b;d!==c;++d)a[d]=\n",
       "a[c+d%b];this.cumulativeWeight=0},restoreOriginalState:function(){this.binding.setValue(this.buffer,3*this.valueSize)},_select:function(a,b,c,d,e){if(.5<=d)for(d=0;d!==e;++d)a[b+d]=a[c+d]},_slerp:function(a,b,c,d){Aa.slerpFlat(a,b,a,b,a,c,d)},_lerp:function(a,b,c,d,e){for(var f=1-d,g=0;g!==e;++g){var h=b+g;a[h]=a[h]*f+a[c+g]*d}}});var fl=/[\\[\\]\\.:\\/]/g,gl=&quot;[^&quot;+&quot;\\\\[\\\\]\\\\.:\\\\/&quot;.replace(&quot;\\\\.&quot;,&quot;&quot;)+&quot;]&quot;,hl=/((?:WC+[\\/:])*)/.source.replace(&quot;WC&quot;,&quot;[^\\\\[\\\\]\\\\.:\\\\/]&quot;),il=/(WCOD+)?/.source.replace(&quot;WCOD&quot;,gl),\n",
       "jl=/(?:\\.(WC+)(?:\\[(.+)\\])?)?/.source.replace(&quot;WC&quot;,&quot;[^\\\\[\\\\]\\\\.:\\\\/]&quot;),kl=/\\.(WC+)(?:\\[(.+)\\])?/.source.replace(&quot;WC&quot;,&quot;[^\\\\[\\\\]\\\\.:\\\\/]&quot;),ll=new RegExp(&quot;^&quot;+hl+il+jl+kl+&quot;$&quot;),ml=[&quot;material&quot;,&quot;materials&quot;,&quot;bones&quot;];Object.assign(ni.prototype,{getValue:function(a,b){this.bind();var c=this._bindings[this._targetGroup.nCachedObjects_];void 0!==c&&c.getValue(a,b)},setValue:function(a,b){for(var c=this._bindings,d=this._targetGroup.nCachedObjects_,e=c.length;d!==e;++d)c[d].setValue(a,b)},bind:function(){for(var a=\n",
       "this._bindings,b=this._targetGroup.nCachedObjects_,c=a.length;b!==c;++b)a[b].bind()},unbind:function(){for(var a=this._bindings,b=this._targetGroup.nCachedObjects_,c=a.length;b!==c;++b)a[b].unbind()}});Object.assign(ya,{Composite:ni,create:function(a,b,c){return a&&a.isAnimationObjectGroup?new ya.Composite(a,b,c):new ya(a,b,c)},sanitizeNodeName:function(a){return a.replace(/\\s/g,&quot;_&quot;).replace(fl,&quot;&quot;)},parseTrackName:function(a){var b=ll.exec(a);if(!b)throw Error(&quot;PropertyBinding: Cannot parse trackName: &quot;+\n",
       "a);b={nodeName:b[2],objectName:b[3],objectIndex:b[4],propertyName:b[5],propertyIndex:b[6]};var c=b.nodeName&&b.nodeName.lastIndexOf(&quot;.&quot;);if(void 0!==c&&-1!==c){var d=b.nodeName.substring(c+1);-1!==ml.indexOf(d)&&(b.nodeName=b.nodeName.substring(0,c),b.objectName=d)}if(null===b.propertyName||0===b.propertyName.length)throw Error(&quot;PropertyBinding: can not parse propertyName from trackName: &quot;+a);return b},findNode:function(a,b){if(!b||&quot;&quot;===b||&quot;.&quot;===b||-1===b||b===a.name||b===a.uuid)return a;if(a.skeleton){var c=\n",
       "a.skeleton.getBoneByName(b);if(void 0!==c)return c}if(a.children){var d=function(a){for(var c=0;c<a.length;c++){var e=a[c];if(e.name===b||e.uuid===b||(e=d(e.children)))return e}return null};if(a=d(a.children))return a}return null}});Object.assign(ya.prototype,{_getValue_unavailable:function(){},_setValue_unavailable:function(){},BindingType:{Direct:0,EntireArray:1,ArrayElement:2,HasFromToArray:3},Versioning:{None:0,NeedsUpdate:1,MatrixWorldNeedsUpdate:2},GetterByBindingType:[function(a,b){a[b]=this.node[this.propertyName]},\n",
       "function(a,b){for(var c=this.resolvedProperty,d=0,e=c.length;d!==e;++d)a[b++]=c[d]},function(a,b){a[b]=this.resolvedProperty[this.propertyIndex]},function(a,b){this.resolvedProperty.toArray(a,b)}],SetterByBindingTypeAndVersioning:[[function(a,b){this.targetObject[this.propertyName]=a[b]},function(a,b){this.targetObject[this.propertyName]=a[b];this.targetObject.needsUpdate=!0},function(a,b){this.targetObject[this.propertyName]=a[b];this.targetObject.matrixWorldNeedsUpdate=!0}],[function(a,b){for(var c=\n",
       "this.resolvedProperty,d=0,e=c.length;d!==e;++d)c[d]=a[b++]},function(a,b){for(var c=this.resolvedProperty,d=0,e=c.length;d!==e;++d)c[d]=a[b++];this.targetObject.needsUpdate=!0},function(a,b){for(var c=this.resolvedProperty,d=0,e=c.length;d!==e;++d)c[d]=a[b++];this.targetObject.matrixWorldNeedsUpdate=!0}],[function(a,b){this.resolvedProperty[this.propertyIndex]=a[b]},function(a,b){this.resolvedProperty[this.propertyIndex]=a[b];this.targetObject.needsUpdate=!0},function(a,b){this.resolvedProperty[this.propertyIndex]=\n",
       "a[b];this.targetObject.matrixWorldNeedsUpdate=!0}],[function(a,b){this.resolvedProperty.fromArray(a,b)},function(a,b){this.resolvedProperty.fromArray(a,b);this.targetObject.needsUpdate=!0},function(a,b){this.resolvedProperty.fromArray(a,b);this.targetObject.matrixWorldNeedsUpdate=!0}]],getValue:function(a,b){this.bind();this.getValue(a,b)},setValue:function(a,b){this.bind();this.setValue(a,b)},bind:function(){var a=this.node,b=this.parsedPath,c=b.objectName,d=b.propertyName,e=b.propertyIndex;a||(this.node=\n",
       "a=ya.findNode(this.rootNode,b.nodeName)||this.rootNode);this.getValue=this._getValue_unavailable;this.setValue=this._setValue_unavailable;if(a){if(c){var f=b.objectIndex;switch(c){case &quot;materials&quot;:if(!a.material){console.error(&quot;THREE.PropertyBinding: Can not bind to material as node does not have a material.&quot;,this);return}if(!a.material.materials){console.error(&quot;THREE.PropertyBinding: Can not bind to material.materials as node.material does not have a materials array.&quot;,this);return}a=a.material.materials;\n",
       "break;case &quot;bones&quot;:if(!a.skeleton){console.error(&quot;THREE.PropertyBinding: Can not bind to bones as node does not have a skeleton.&quot;,this);return}a=a.skeleton.bones;for(c=0;c<a.length;c++)if(a[c].name===f){f=c;break}break;default:if(void 0===a[c]){console.error(&quot;THREE.PropertyBinding: Can not bind to objectName of node undefined.&quot;,this);return}a=a[c]}if(void 0!==f){if(void 0===a[f]){console.error(&quot;THREE.PropertyBinding: Trying to bind to objectIndex of objectName, but is undefined.&quot;,this,a);return}a=\n",
       "a[f]}}f=a[d];if(void 0===f)console.error(&quot;THREE.PropertyBinding: Trying to update property for track: &quot;+b.nodeName+&quot;.&quot;+d+&quot; but it wasn't found.&quot;,a);else{b=this.Versioning.None;this.targetObject=a;void 0!==a.needsUpdate?b=this.Versioning.NeedsUpdate:void 0!==a.matrixWorldNeedsUpdate&&(b=this.Versioning.MatrixWorldNeedsUpdate);c=this.BindingType.Direct;if(void 0!==e){if(&quot;morphTargetInfluences&quot;===d){if(!a.geometry){console.error(&quot;THREE.PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.&quot;,\n",
       "this);return}if(a.geometry.isBufferGeometry){if(!a.geometry.morphAttributes){console.error(&quot;THREE.PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.morphAttributes.&quot;,this);return}for(c=0;c<this.node.geometry.morphAttributes.position.length;c++)if(a.geometry.morphAttributes.position[c].name===e){e=c;break}}else{if(!a.geometry.morphTargets){console.error(&quot;THREE.PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.morphTargets.&quot;,\n",
       "this);return}for(c=0;c<this.node.geometry.morphTargets.length;c++)if(a.geometry.morphTargets[c].name===e){e=c;break}}}c=this.BindingType.ArrayElement;this.resolvedProperty=f;this.propertyIndex=e}else void 0!==f.fromArray&&void 0!==f.toArray?(c=this.BindingType.HasFromToArray,this.resolvedProperty=f):Array.isArray(f)?(c=this.BindingType.EntireArray,this.resolvedProperty=f):this.propertyName=d;this.getValue=this.GetterByBindingType[c];this.setValue=this.SetterByBindingTypeAndVersioning[c][b]}}else console.error(&quot;THREE.PropertyBinding: Trying to update node for track: &quot;+\n",
       "this.path+&quot; but it wasn't found.&quot;)},unbind:function(){this.node=null;this.getValue=this._getValue_unbound;this.setValue=this._setValue_unbound}});Object.assign(ya.prototype,{_getValue_unbound:ya.prototype.getValue,_setValue_unbound:ya.prototype.setValue});Object.assign(oi.prototype,{isAnimationObjectGroup:!0,add:function(){for(var a=this._objects,b=a.length,c=this.nCachedObjects_,d=this._indicesByUUID,e=this._paths,f=this._parsedPaths,g=this._bindings,h=g.length,k=void 0,m=0,n=arguments.length;m!==\n",
       "n;++m){var p=arguments[m],t=p.uuid,r=d[t];if(void 0===r){r=b++;d[t]=r;a.push(p);t=0;for(var q=h;t!==q;++t)g[t].push(new ya(p,e[t],f[t]))}else if(r<c){k=a[r];var v=--c;q=a[v];d[q.uuid]=r;a[r]=q;d[t]=v;a[v]=p;t=0;for(q=h;t!==q;++t){var y=g[t],w=y[r];y[r]=y[v];void 0===w&&(w=new ya(p,e[t],f[t]));y[v]=w}}else a[r]!==k&&console.error(&quot;THREE.AnimationObjectGroup: Different objects with the same UUID detected. Clean the caches or recreate your infrastructure when reloading scenes.&quot;)}this.nCachedObjects_=\n",
       "c},remove:function(){for(var a=this._objects,b=this.nCachedObjects_,c=this._indicesByUUID,d=this._bindings,e=d.length,f=0,g=arguments.length;f!==g;++f){var h=arguments[f],k=h.uuid,m=c[k];if(void 0!==m&&m>=b){var n=b++,p=a[n];c[p.uuid]=m;a[m]=p;c[k]=n;a[n]=h;h=0;for(k=e;h!==k;++h){p=d[h];var t=p[m];p[m]=p[n];p[n]=t}}}this.nCachedObjects_=b},uncache:function(){for(var a=this._objects,b=a.length,c=this.nCachedObjects_,d=this._indicesByUUID,e=this._bindings,f=e.length,g=0,h=arguments.length;g!==h;++g){var k=\n",
       "arguments[g].uuid,m=d[k];if(void 0!==m)if(delete d[k],m<c){k=--c;var n=a[k],p=--b,t=a[p];d[n.uuid]=m;a[m]=n;d[t.uuid]=k;a[k]=t;a.pop();n=0;for(t=f;n!==t;++n){var r=e[n],q=r[p];r[m]=r[k];r[k]=q;r.pop()}}else for(p=--b,t=a[p],d[t.uuid]=m,a[m]=t,a.pop(),n=0,t=f;n!==t;++n)r=e[n],r[m]=r[p],r.pop()}this.nCachedObjects_=c},subscribe_:function(a,b){var c=this._bindingsIndicesByPath,d=c[a],e=this._bindings;if(void 0!==d)return e[d];var f=this._paths,g=this._parsedPaths,h=this._objects,k=this.nCachedObjects_,\n",
       "m=Array(h.length);d=e.length;c[a]=d;f.push(a);g.push(b);e.push(m);c=k;for(d=h.length;c!==d;++c)m[c]=new ya(h[c],a,b);return m},unsubscribe_:function(a){var b=this._bindingsIndicesByPath,c=b[a];if(void 0!==c){var d=this._paths,e=this._parsedPaths,f=this._bindings,g=f.length-1,h=f[g];b[a[g]]=c;f[c]=h;f.pop();e[c]=e[g];e.pop();d[c]=d[g];d.pop()}}});Object.assign(pi.prototype,{play:function(){this._mixer._activateAction(this);return this},stop:function(){this._mixer._deactivateAction(this);return this.reset()},\n",
       "reset:function(){this.paused=!1;this.enabled=!0;this.time=0;this._loopCount=-1;this._startTime=null;return this.stopFading().stopWarping()},isRunning:function(){return this.enabled&&!this.paused&&0!==this.timeScale&&null===this._startTime&&this._mixer._isActiveAction(this)},isScheduled:function(){return this._mixer._isActiveAction(this)},startAt:function(a){this._startTime=a;return this},setLoop:function(a,b){this.loop=a;this.repetitions=b;return this},setEffectiveWeight:function(a){this.weight=a;\n",
       "this._effectiveWeight=this.enabled?a:0;return this.stopFading()},getEffectiveWeight:function(){return this._effectiveWeight},fadeIn:function(a){return this._scheduleFading(a,0,1)},fadeOut:function(a){return this._scheduleFading(a,1,0)},crossFadeFrom:function(a,b,c){a.fadeOut(b);this.fadeIn(b);if(c){c=this._clip.duration;var d=a._clip.duration,e=c/d;a.warp(1,d/c,b);this.warp(e,1,b)}return this},crossFadeTo:function(a,b,c){return a.crossFadeFrom(this,b,c)},stopFading:function(){var a=this._weightInterpolant;\n",
       "null!==a&&(this._weightInterpolant=null,this._mixer._takeBackControlInterpolant(a));return this},setEffectiveTimeScale:function(a){this.timeScale=a;this._effectiveTimeScale=this.paused?0:a;return this.stopWarping()},getEffectiveTimeScale:function(){return this._effectiveTimeScale},setDuration:function(a){this.timeScale=this._clip.duration/a;return this.stopWarping()},syncWith:function(a){this.time=a.time;this.timeScale=a.timeScale;return this.stopWarping()},halt:function(a){return this.warp(this._effectiveTimeScale,\n",
       "0,a)},warp:function(a,b,c){var d=this._mixer,e=d.time,f=this._timeScaleInterpolant,g=this.timeScale;null===f&&(this._timeScaleInterpolant=f=d._lendControlInterpolant());d=f.parameterPositions;f=f.sampleValues;d[0]=e;d[1]=e+c;f[0]=a/g;f[1]=b/g;return this},stopWarping:function(){var a=this._timeScaleInterpolant;null!==a&&(this._timeScaleInterpolant=null,this._mixer._takeBackControlInterpolant(a));return this},getMixer:function(){return this._mixer},getClip:function(){return this._clip},getRoot:function(){return this._localRoot||\n",
       "this._mixer._root},_update:function(a,b,c,d){if(this.enabled){var e=this._startTime;if(null!==e){b=(a-e)*c;if(0>b||0===c)return;this._startTime=null;b*=c}b*=this._updateTimeScale(a);c=this._updateTime(b);a=this._updateWeight(a);if(0<a){b=this._interpolants;e=this._propertyBindings;for(var f=0,g=b.length;f!==g;++f)b[f].evaluate(c),e[f].accumulate(d,a)}}else this._updateWeight(a)},_updateWeight:function(a){var b=0;if(this.enabled){b=this.weight;var c=this._weightInterpolant;if(null!==c){var d=c.evaluate(a)[0];\n",
       "b*=d;a>c.parameterPositions[1]&&(this.stopFading(),0===d&&(this.enabled=!1))}}return this._effectiveWeight=b},_updateTimeScale:function(a){var b=0;if(!this.paused){b=this.timeScale;var c=this._timeScaleInterpolant;if(null!==c){var d=c.evaluate(a)[0];b*=d;a>c.parameterPositions[1]&&(this.stopWarping(),0===b?this.paused=!0:this.timeScale=b)}}return this._effectiveTimeScale=b},_updateTime:function(a){var b=this.time+a,c=this._clip.duration,d=this.loop,e=this._loopCount,f=2202===d;if(0===a)return-1===\n",
       "e?b:f&&1===(e&1)?c-b:b;if(2200===d)a:{if(-1===e&&(this._loopCount=0,this._setEndings(!0,!0,!1)),b>=c)b=c;else if(0>b)b=0;else{this.time=b;break a}this.clampWhenFinished?this.paused=!0:this.enabled=!1;this.time=b;this._mixer.dispatchEvent({type:&quot;finished&quot;,action:this,direction:0>a?-1:1})}else{-1===e&&(0<=a?(e=0,this._setEndings(!0,0===this.repetitions,f)):this._setEndings(0===this.repetitions,!0,f));if(b>=c||0>b){d=Math.floor(b/c);b-=c*d;e+=Math.abs(d);var g=this.repetitions-e;0>=g?(this.clampWhenFinished?\n",
       "this.paused=!0:this.enabled=!1,this.time=b=0<a?c:0,this._mixer.dispatchEvent({type:&quot;finished&quot;,action:this,direction:0<a?1:-1})):(1===g?(a=0>a,this._setEndings(a,!a,f)):this._setEndings(!1,!1,f),this._loopCount=e,this.time=b,this._mixer.dispatchEvent({type:&quot;loop&quot;,action:this,loopDelta:d}))}else this.time=b;if(f&&1===(e&1))return c-b}return b},_setEndings:function(a,b,c){var d=this._interpolantSettings;c?(d.endingStart=2401,d.endingEnd=2401):(d.endingStart=a?this.zeroSlopeAtStart?2401:2400:2402,d.endingEnd=\n",
       "b?this.zeroSlopeAtEnd?2401:2400:2402)},_scheduleFading:function(a,b,c){var d=this._mixer,e=d.time,f=this._weightInterpolant;null===f&&(this._weightInterpolant=f=d._lendControlInterpolant());d=f.parameterPositions;f=f.sampleValues;d[0]=e;f[0]=b;d[1]=e+a;f[1]=c;return this}});Mg.prototype=Object.assign(Object.create(Ea.prototype),{constructor:Mg,_bindAction:function(a,b){var c=a._localRoot||this._root,d=a._clip.tracks,e=d.length,f=a._propertyBindings;a=a._interpolants;var g=c.uuid,h=this._bindingsByRootAndName,\n",
       "k=h[g];void 0===k&&(k={},h[g]=k);for(h=0;h!==e;++h){var m=d[h],n=m.name,p=k[n];if(void 0===p){p=f[h];if(void 0!==p){null===p._cacheIndex&&(++p.referenceCount,this._addInactiveBinding(p,g,n));continue}p=new Lg(ya.create(c,n,b&&b._propertyBindings[h].binding.parsedPath),m.ValueTypeName,m.getValueSize());++p.referenceCount;this._addInactiveBinding(p,g,n)}f[h]=p;a[h].resultBuffer=p.buffer}},_activateAction:function(a){if(!this._isActiveAction(a)){if(null===a._cacheIndex){var b=(a._localRoot||this._root).uuid,\n",
       "c=a._clip.uuid,d=this._actionsByClip[c];this._bindAction(a,d&&d.knownActions[0]);this._addInactiveAction(a,c,b)}b=a._propertyBindings;c=0;for(d=b.length;c!==d;++c){var e=b[c];0===e.useCount++&&(this._lendBinding(e),e.saveOriginalState())}this._lendAction(a)}},_deactivateAction:function(a){if(this._isActiveAction(a)){for(var b=a._propertyBindings,c=0,d=b.length;c!==d;++c){var e=b[c];0===--e.useCount&&(e.restoreOriginalState(),this._takeBackBinding(e))}this._takeBackAction(a)}},_initMemoryManager:function(){this._actions=\n",
       "[];this._nActiveActions=0;this._actionsByClip={};this._bindings=[];this._nActiveBindings=0;this._bindingsByRootAndName={};this._controlInterpolants=[];this._nActiveControlInterpolants=0;var a=this;this.stats={actions:{get total(){return a._actions.length},get inUse(){return a._nActiveActions}},bindings:{get total(){return a._bindings.length},get inUse(){return a._nActiveBindings}},controlInterpolants:{get total(){return a._controlInterpolants.length},get inUse(){return a._nActiveControlInterpolants}}}},\n",
       "_isActiveAction:function(a){a=a._cacheIndex;return null!==a&&a<this._nActiveActions},_addInactiveAction:function(a,b,c){var d=this._actions,e=this._actionsByClip,f=e[b];void 0===f?(f={knownActions:[a],actionByRoot:{}},a._byClipCacheIndex=0,e[b]=f):(b=f.knownActions,a._byClipCacheIndex=b.length,b.push(a));a._cacheIndex=d.length;d.push(a);f.actionByRoot[c]=a},_removeInactiveAction:function(a){var b=this._actions,c=b[b.length-1],d=a._cacheIndex;c._cacheIndex=d;b[d]=c;b.pop();a._cacheIndex=null;b=a._clip.uuid;\n",
       "c=this._actionsByClip;d=c[b];var e=d.knownActions,f=e[e.length-1],g=a._byClipCacheIndex;f._byClipCacheIndex=g;e[g]=f;e.pop();a._byClipCacheIndex=null;delete d.actionByRoot[(a._localRoot||this._root).uuid];0===e.length&&delete c[b];this._removeInactiveBindingsForAction(a)},_removeInactiveBindingsForAction:function(a){a=a._propertyBindings;for(var b=0,c=a.length;b!==c;++b){var d=a[b];0===--d.referenceCount&&this._removeInactiveBinding(d)}},_lendAction:function(a){var b=this._actions,c=a._cacheIndex,\n",
       "d=this._nActiveActions++,e=b[d];a._cacheIndex=d;b[d]=a;e._cacheIndex=c;b[c]=e},_takeBackAction:function(a){var b=this._actions,c=a._cacheIndex,d=--this._nActiveActions,e=b[d];a._cacheIndex=d;b[d]=a;e._cacheIndex=c;b[c]=e},_addInactiveBinding:function(a,b,c){var d=this._bindingsByRootAndName,e=d[b],f=this._bindings;void 0===e&&(e={},d[b]=e);e[c]=a;a._cacheIndex=f.length;f.push(a)},_removeInactiveBinding:function(a){var b=this._bindings,c=a.binding,d=c.rootNode.uuid;c=c.path;var e=this._bindingsByRootAndName,\n",
       "f=e[d],g=b[b.length-1];a=a._cacheIndex;g._cacheIndex=a;b[a]=g;b.pop();delete f[c];0===Object.keys(f).length&&delete e[d]},_lendBinding:function(a){var b=this._bindings,c=a._cacheIndex,d=this._nActiveBindings++,e=b[d];a._cacheIndex=d;b[d]=a;e._cacheIndex=c;b[c]=e},_takeBackBinding:function(a){var b=this._bindings,c=a._cacheIndex,d=--this._nActiveBindings,e=b[d];a._cacheIndex=d;b[d]=a;e._cacheIndex=c;b[c]=e},_lendControlInterpolant:function(){var a=this._controlInterpolants,b=this._nActiveControlInterpolants++,\n",
       "c=a[b];void 0===c&&(c=new ne(new Float32Array(2),new Float32Array(2),1,this._controlInterpolantsResultBuffer),c.__cacheIndex=b,a[b]=c);return c},_takeBackControlInterpolant:function(a){var b=this._controlInterpolants,c=a.__cacheIndex,d=--this._nActiveControlInterpolants,e=b[d];a.__cacheIndex=d;b[d]=a;e.__cacheIndex=c;b[c]=e},_controlInterpolantsResultBuffer:new Float32Array(1),clipAction:function(a,b){var c=b||this._root,d=c.uuid;c=&quot;string&quot;===typeof a?Qa.findByName(c,a):a;a=null!==c?c.uuid:a;var e=\n",
       "this._actionsByClip[a],f=null;if(void 0!==e){f=e.actionByRoot[d];if(void 0!==f)return f;f=e.knownActions[0];null===c&&(c=f._clip)}if(null===c)return null;b=new pi(this,c,b);this._bindAction(b,f);this._addInactiveAction(b,a,d);return b},existingAction:function(a,b){var c=b||this._root;b=c.uuid;c=&quot;string&quot;===typeof a?Qa.findByName(c,a):a;a=this._actionsByClip[c?c.uuid:a];return void 0!==a?a.actionByRoot[b]||null:null},stopAllAction:function(){for(var a=this._actions,b=this._nActiveActions,c=this._bindings,\n",
       "d=this._nActiveBindings,e=this._nActiveBindings=this._nActiveActions=0;e!==b;++e)a[e].reset();for(e=0;e!==d;++e)c[e].useCount=0;return this},update:function(a){a*=this.timeScale;for(var b=this._actions,c=this._nActiveActions,d=this.time+=a,e=Math.sign(a),f=this._accuIndex^=1,g=0;g!==c;++g)b[g]._update(d,a,e,f);a=this._bindings;b=this._nActiveBindings;for(g=0;g!==b;++g)a[g].apply(f);return this},setTime:function(a){for(var b=this.time=0;b<this._actions.length;b++)this._actions[b].time=0;return this.update(a)},\n",
       "getRoot:function(){return this._root},uncacheClip:function(a){var b=this._actions;a=a.uuid;var c=this._actionsByClip,d=c[a];if(void 0!==d){d=d.knownActions;for(var e=0,f=d.length;e!==f;++e){var g=d[e];this._deactivateAction(g);var h=g._cacheIndex,k=b[b.length-1];g._cacheIndex=null;g._byClipCacheIndex=null;k._cacheIndex=h;b[h]=k;b.pop();this._removeInactiveBindingsForAction(g)}delete c[a]}},uncacheRoot:function(a){a=a.uuid;var b=this._actionsByClip;for(d in b){var c=b[d].actionByRoot[a];void 0!==c&&\n",
       "(this._deactivateAction(c),this._removeInactiveAction(c))}var d=this._bindingsByRootAndName[a];if(void 0!==d)for(var e in d)a=d[e],a.restoreOriginalState(),this._removeInactiveBinding(a)},uncacheAction:function(a,b){a=this.existingAction(a,b);null!==a&&(this._deactivateAction(a),this._removeInactiveAction(a))}});vf.prototype.clone=function(){return new vf(void 0===this.value.clone?this.value:this.value.clone())};Ng.prototype=Object.assign(Object.create(rb.prototype),{constructor:Ng,isInstancedInterleavedBuffer:!0,\n",
       "copy:function(a){rb.prototype.copy.call(this,a);this.meshPerAttribute=a.meshPerAttribute;return this}});Object.assign(Og.prototype,{set:function(a,b){this.ray.set(a,b)},setFromCamera:function(a,b){b&&b.isPerspectiveCamera?(this.ray.origin.setFromMatrixPosition(b.matrixWorld),this.ray.direction.set(a.x,a.y,.5).unproject(b).sub(this.ray.origin).normalize(),this.camera=b):b&&b.isOrthographicCamera?(this.ray.origin.set(a.x,a.y,(b.near+b.far)/(b.near-b.far)).unproject(b),this.ray.direction.set(0,0,-1).transformDirection(b.matrixWorld),\n",
       "this.camera=b):console.error(&quot;THREE.Raycaster: Unsupported camera type.&quot;)},intersectObject:function(a,b,c){c=c||[];Pg(a,this,c,b);c.sort(qi);return c},intersectObjects:function(a,b,c){c=c||[];if(!1===Array.isArray(a))return console.warn(&quot;THREE.Raycaster.intersectObjects: objects is not an Array.&quot;),c;for(var d=0,e=a.length;d<e;d++)Pg(a[d],this,c,b);c.sort(qi);return c}});Object.assign(ri.prototype,{set:function(a,b,c){this.radius=a;this.phi=b;this.theta=c;return this},clone:function(){return(new this.constructor).copy(this)},\n",
       "copy:function(a){this.radius=a.radius;this.phi=a.phi;this.theta=a.theta;return this},makeSafe:function(){this.phi=Math.max(1E-6,Math.min(Math.PI-1E-6,this.phi));return this},setFromVector3:function(a){return this.setFromCartesianCoords(a.x,a.y,a.z)},setFromCartesianCoords:function(a,b,c){this.radius=Math.sqrt(a*a+b*b+c*c);0===this.radius?this.phi=this.theta=0:(this.theta=Math.atan2(a,c),this.phi=Math.acos(L.clamp(b/this.radius,-1,1)));return this}});Object.assign(si.prototype,{set:function(a,b,c){this.radius=\n",
       "a;this.theta=b;this.y=c;return this},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.radius=a.radius;this.theta=a.theta;this.y=a.y;return this},setFromVector3:function(a){return this.setFromCartesianCoords(a.x,a.y,a.z)},setFromCartesianCoords:function(a,b,c){this.radius=Math.sqrt(a*a+c*c);this.theta=Math.atan2(a,c);this.y=b;return this}});var gj=new t;Object.assign(Qg.prototype,{set:function(a,b){this.min.copy(a);this.max.copy(b);return this},setFromPoints:function(a){this.makeEmpty();\n",
       "for(var b=0,c=a.length;b<c;b++)this.expandByPoint(a[b]);return this},setFromCenterAndSize:function(a,b){b=gj.copy(b).multiplyScalar(.5);this.min.copy(a).sub(b);this.max.copy(a).add(b);return this},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.min.copy(a.min);this.max.copy(a.max);return this},makeEmpty:function(){this.min.x=this.min.y=Infinity;this.max.x=this.max.y=-Infinity;return this},isEmpty:function(){return this.max.x<this.min.x||this.max.y<this.min.y},getCenter:function(a){void 0===\n",
       "a&&(console.warn(&quot;THREE.Box2: .getCenter() target is now required&quot;),a=new t);return this.isEmpty()?a.set(0,0):a.addVectors(this.min,this.max).multiplyScalar(.5)},getSize:function(a){void 0===a&&(console.warn(&quot;THREE.Box2: .getSize() target is now required&quot;),a=new t);return this.isEmpty()?a.set(0,0):a.subVectors(this.max,this.min)},expandByPoint:function(a){this.min.min(a);this.max.max(a);return this},expandByVector:function(a){this.min.sub(a);this.max.add(a);return this},expandByScalar:function(a){this.min.addScalar(-a);\n",
       "this.max.addScalar(a);return this},containsPoint:function(a){return a.x<this.min.x||a.x>this.max.x||a.y<this.min.y||a.y>this.max.y?!1:!0},containsBox:function(a){return this.min.x<=a.min.x&&a.max.x<=this.max.x&&this.min.y<=a.min.y&&a.max.y<=this.max.y},getParameter:function(a,b){void 0===b&&(console.warn(&quot;THREE.Box2: .getParameter() target is now required&quot;),b=new t);return b.set((a.x-this.min.x)/(this.max.x-this.min.x),(a.y-this.min.y)/(this.max.y-this.min.y))},intersectsBox:function(a){return a.max.x<\n",
       "this.min.x||a.min.x>this.max.x||a.max.y<this.min.y||a.min.y>this.max.y?!1:!0},clampPoint:function(a,b){void 0===b&&(console.warn(&quot;THREE.Box2: .clampPoint() target is now required&quot;),b=new t);return b.copy(a).clamp(this.min,this.max)},distanceToPoint:function(a){return gj.copy(a).clamp(this.min,this.max).sub(a).length()},intersect:function(a){this.min.max(a.min);this.max.min(a.max);return this},union:function(a){this.min.min(a.min);this.max.max(a.max);return this},translate:function(a){this.min.add(a);\n",
       "this.max.add(a);return this},equals:function(a){return a.min.equals(this.min)&&a.max.equals(this.max)}});var hj=new n,Vf=new n;Object.assign(Rg.prototype,{set:function(a,b){this.start.copy(a);this.end.copy(b);return this},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.start.copy(a.start);this.end.copy(a.end);return this},getCenter:function(a){void 0===a&&(console.warn(&quot;THREE.Line3: .getCenter() target is now required&quot;),a=new n);return a.addVectors(this.start,this.end).multiplyScalar(.5)},\n",
       "delta:function(a){void 0===a&&(console.warn(&quot;THREE.Line3: .delta() target is now required&quot;),a=new n);return a.subVectors(this.end,this.start)},distanceSq:function(){return this.start.distanceToSquared(this.end)},distance:function(){return this.start.distanceTo(this.end)},at:function(a,b){void 0===b&&(console.warn(&quot;THREE.Line3: .at() target is now required&quot;),b=new n);return this.delta(b).multiplyScalar(a).add(this.start)},closestPointToPointParameter:function(a,b){hj.subVectors(a,this.start);Vf.subVectors(this.end,\n",
       "this.start);a=Vf.dot(Vf);a=Vf.dot(hj)/a;b&&(a=L.clamp(a,0,1));return a},closestPointToPoint:function(a,b,c){a=this.closestPointToPointParameter(a,b);void 0===c&&(console.warn(&quot;THREE.Line3: .closestPointToPoint() target is now required&quot;),c=new n);return this.delta(c).multiplyScalar(a).add(this.start)},applyMatrix4:function(a){this.start.applyMatrix4(a);this.end.applyMatrix4(a);return this},equals:function(a){return a.start.equals(this.start)&&a.end.equals(this.end)}});re.prototype=Object.create(F.prototype);\n",
       "re.prototype.constructor=re;re.prototype.isImmediateRenderObject=!0;var ij=new n;jd.prototype=Object.create(F.prototype);jd.prototype.constructor=jd;jd.prototype.dispose=function(){this.cone.geometry.dispose();this.cone.material.dispose()};jd.prototype.update=function(){this.light.updateMatrixWorld();var a=this.light.distance?this.light.distance:1E3,b=a*Math.tan(this.light.angle);this.cone.scale.set(b,b,a);ij.setFromMatrixPosition(this.light.target.matrixWorld);this.cone.lookAt(ij);void 0!==this.color?\n",
       "this.cone.material.color.set(this.color):this.cone.material.color.copy(this.light.color)};var Qb=new n,Wf=new P,vh=new P;rc.prototype=Object.create(ma.prototype);rc.prototype.constructor=rc;rc.prototype.isSkeletonHelper=!0;rc.prototype.updateMatrixWorld=function(a){var b=this.bones,c=this.geometry,d=c.getAttribute(&quot;position&quot;);vh.getInverse(this.root.matrixWorld);for(var e=0,f=0;e<b.length;e++){var g=b[e];g.parent&&g.parent.isBone&&(Wf.multiplyMatrices(vh,g.matrixWorld),Qb.setFromMatrixPosition(Wf),\n",
       "d.setXYZ(f,Qb.x,Qb.y,Qb.z),Wf.multiplyMatrices(vh,g.parent.matrixWorld),Qb.setFromMatrixPosition(Wf),d.setXYZ(f+1,Qb.x,Qb.y,Qb.z),f+=2)}c.getAttribute(&quot;position&quot;).needsUpdate=!0;F.prototype.updateMatrixWorld.call(this,a)};kd.prototype=Object.create(S.prototype);kd.prototype.constructor=kd;kd.prototype.dispose=function(){this.geometry.dispose();this.material.dispose()};kd.prototype.update=function(){void 0!==this.color?this.material.color.set(this.color):this.material.color.copy(this.light.color)};\n",
       "var nl=new n,jj=new A,kj=new A;ld.prototype=Object.create(F.prototype);ld.prototype.constructor=ld;ld.prototype.dispose=function(){this.children[0].geometry.dispose();this.children[0].material.dispose()};ld.prototype.update=function(){var a=this.children[0];if(void 0!==this.color)this.material.color.set(this.color);else{var b=a.geometry.getAttribute(&quot;color&quot;);jj.copy(this.light.color);kj.copy(this.light.groundColor);for(var c=0,d=b.count;c<d;c++){var e=c<d/2?jj:kj;b.setXYZ(c,e.r,e.g,e.b)}b.needsUpdate=\n",
       "!0}a.lookAt(nl.setFromMatrixPosition(this.light.matrixWorld).negate())};wf.prototype=Object.assign(Object.create(ma.prototype),{constructor:wf,copy:function(a){ma.prototype.copy.call(this,a);this.geometry.copy(a.geometry);this.material.copy(a.material);return this},clone:function(){return(new this.constructor).copy(this)}});xf.prototype=Object.create(ma.prototype);xf.prototype.constructor=xf;var lj=new n,Xf=new n,mj=new n;md.prototype=Object.create(F.prototype);md.prototype.constructor=md;md.prototype.dispose=\n",
       "function(){this.lightPlane.geometry.dispose();this.lightPlane.material.dispose();this.targetLine.geometry.dispose();this.targetLine.material.dispose()};md.prototype.update=function(){lj.setFromMatrixPosition(this.light.matrixWorld);Xf.setFromMatrixPosition(this.light.target.matrixWorld);mj.subVectors(Xf,lj);this.lightPlane.lookAt(Xf);void 0!==this.color?(this.lightPlane.material.color.set(this.color),this.targetLine.material.color.set(this.color)):(this.lightPlane.material.color.copy(this.light.color),\n",
       "this.targetLine.material.color.copy(this.light.color));this.targetLine.lookAt(Xf);this.targetLine.scale.z=mj.length()};var yf=new n,ja=new db;se.prototype=Object.create(ma.prototype);se.prototype.constructor=se;se.prototype.update=function(){var a=this.geometry,b=this.pointMap;ja.projectionMatrixInverse.copy(this.camera.projectionMatrixInverse);na(&quot;c&quot;,b,a,ja,0,0,-1);na(&quot;t&quot;,b,a,ja,0,0,1);na(&quot;n1&quot;,b,a,ja,-1,-1,-1);na(&quot;n2&quot;,b,a,ja,1,-1,-1);na(&quot;n3&quot;,b,a,ja,-1,1,-1);na(&quot;n4&quot;,b,a,ja,1,1,-1);na(&quot;f1&quot;,b,a,ja,\n",
       "-1,-1,1);na(&quot;f2&quot;,b,a,ja,1,-1,1);na(&quot;f3&quot;,b,a,ja,-1,1,1);na(&quot;f4&quot;,b,a,ja,1,1,1);na(&quot;u1&quot;,b,a,ja,.7,1.1,-1);na(&quot;u2&quot;,b,a,ja,-.7,1.1,-1);na(&quot;u3&quot;,b,a,ja,0,2,-1);na(&quot;cf1&quot;,b,a,ja,-1,0,1);na(&quot;cf2&quot;,b,a,ja,1,0,1);na(&quot;cf3&quot;,b,a,ja,0,-1,1);na(&quot;cf4&quot;,b,a,ja,0,1,1);na(&quot;cn1&quot;,b,a,ja,-1,0,-1);na(&quot;cn2&quot;,b,a,ja,1,0,-1);na(&quot;cn3&quot;,b,a,ja,0,-1,-1);na(&quot;cn4&quot;,b,a,ja,0,1,-1);a.getAttribute(&quot;position&quot;).needsUpdate=!0};var Yf=new Sa;wb.prototype=Object.create(ma.prototype);wb.prototype.constructor=wb;wb.prototype.update=function(a){void 0!==\n",
       "a&&console.warn(&quot;THREE.BoxHelper: .update() has no longer arguments.&quot;);void 0!==this.object&&Yf.setFromObject(this.object);if(!Yf.isEmpty()){a=Yf.min;var b=Yf.max,c=this.geometry.attributes.position,d=c.array;d[0]=b.x;d[1]=b.y;d[2]=b.z;d[3]=a.x;d[4]=b.y;d[5]=b.z;d[6]=a.x;d[7]=a.y;d[8]=b.z;d[9]=b.x;d[10]=a.y;d[11]=b.z;d[12]=b.x;d[13]=b.y;d[14]=a.z;d[15]=a.x;d[16]=b.y;d[17]=a.z;d[18]=a.x;d[19]=a.y;d[20]=a.z;d[21]=b.x;d[22]=a.y;d[23]=a.z;c.needsUpdate=!0;this.geometry.computeBoundingSphere()}};wb.prototype.setFromObject=\n",
       "function(a){this.object=a;this.update();return this};wb.prototype.copy=function(a){ma.prototype.copy.call(this,a);this.object=a.object;return this};wb.prototype.clone=function(){return(new this.constructor).copy(this)};te.prototype=Object.create(ma.prototype);te.prototype.constructor=te;te.prototype.updateMatrixWorld=function(a){var b=this.box;b.isEmpty()||(b.getCenter(this.position),b.getSize(this.scale),this.scale.multiplyScalar(.5),F.prototype.updateMatrixWorld.call(this,a))};ue.prototype=Object.create(Ka.prototype);\n",
       "ue.prototype.constructor=ue;ue.prototype.updateMatrixWorld=function(a){var b=-this.plane.constant;1E-8>Math.abs(b)&&(b=1E-8);this.scale.set(.5*this.size,.5*this.size,b);this.children[0].material.side=0>b?1:0;this.lookAt(this.plane.normal);F.prototype.updateMatrixWorld.call(this,a)};var nj=new n,zf,Sg;xb.prototype=Object.create(F.prototype);xb.prototype.constructor=xb;xb.prototype.setDirection=function(a){.99999<a.y?this.quaternion.set(0,0,0,1):-.99999>a.y?this.quaternion.set(1,0,0,0):(nj.set(a.z,\n",
       "0,-a.x).normalize(),this.quaternion.setFromAxisAngle(nj,Math.acos(a.y)))};xb.prototype.setLength=function(a,b,c){void 0===b&&(b=.2*a);void 0===c&&(c=.2*b);this.line.scale.set(1,Math.max(1E-4,a-b),1);this.line.updateMatrix();this.cone.scale.set(c,b,c);this.cone.position.y=a;this.cone.updateMatrix()};xb.prototype.setColor=function(a){this.line.material.color.set(a);this.cone.material.color.set(a)};xb.prototype.copy=function(a){F.prototype.copy.call(this,a,!1);this.line.copy(a.line);this.cone.copy(a.cone);\n",
       "return this};xb.prototype.clone=function(){return(new this.constructor).copy(this)};ve.prototype=Object.create(ma.prototype);ve.prototype.constructor=ve;var kb=Math.pow(2,8),oj=[.125,.215,.35,.446,.526,.582],yi=5+oj.length,lb={3E3:0,3001:1,3002:2,3004:3,3005:4,3006:5,3007:6},Wg=new hd,Af=function(a){var b=new Float32Array(a),c=new n(0,1,0);a=new ub({defines:{n:a},uniforms:{envMap:{value:null},samples:{value:1},weights:{value:b},latitudinal:{value:!1},dTheta:{value:0},mipInt:{value:0},poleAxis:{value:c},\n",
       "inputEncoding:{value:lb[3E3]},outputEncoding:{value:lb[3E3]}},vertexShader:Yg(),fragmentShader:&quot;\\nprecision mediump float;\\nprecision mediump int;\\nvarying vec3 vOutputDirection;\\nuniform sampler2D envMap;\\nuniform int samples;\\nuniform float weights[n];\\nuniform bool latitudinal;\\nuniform float dTheta;\\nuniform float mipInt;\\nuniform vec3 poleAxis;\\n\\n&quot;+Zg()+&quot;\\n\\n#define ENVMAP_TYPE_CUBE_UV\\n#include <cube_uv_reflection_fragment>\\n\\nvec3 getSample(float theta, vec3 axis) {\\n\\tfloat cosTheta = cos(theta);\\n\\t// Rodrigues' axis-angle rotation\\n\\tvec3 sampleDirection = vOutputDirection * cosTheta\\n\\t\\t+ cross(axis, vOutputDirection) * sin(theta)\\n\\t\\t+ axis * dot(axis, vOutputDirection) * (1.0 - cosTheta);\\n\\treturn bilinearCubeUV(envMap, sampleDirection, mipInt);\\n}\\n\\nvoid main() {\\n\\tvec3 axis = latitudinal ? poleAxis : cross(poleAxis, vOutputDirection);\\n\\tif (all(equal(axis, vec3(0.0))))\\n\\t\\taxis = vec3(vOutputDirection.z, 0.0, - vOutputDirection.x);\\n\\taxis = normalize(axis);\\n\\tgl_FragColor = vec4(0.0);\\n\\tgl_FragColor.rgb += weights[0] * getSample(0.0, axis);\\n\\tfor (int i = 1; i < n; i++) {\\n\\t\\tif (i >= samples)\\n\\t\\t\\tbreak;\\n\\t\\tfloat theta = dTheta * float(i);\\n\\t\\tgl_FragColor.rgb += weights[i] * getSample(-1.0 * theta, axis);\\n\\t\\tgl_FragColor.rgb += weights[i] * getSample(theta, axis);\\n\\t}\\n\\tgl_FragColor = linearToOutputTexel(gl_FragColor);\\n}\\n\\t\\t&quot;,\n",
       "blending:0,depthTest:!1,depthWrite:!1});a.type=&quot;SphericalGaussianBlur&quot;;return a}(20),Rb=null,Sb=null,wh=function(){for(var a=[],b=[],c=[],d=8,e=0;e<yi;e++){var f=Math.pow(2,d);b.push(f);var g=1/f;4<e?g=oj[e-8+4-1]:0==e&&(g=0);c.push(g);g=1/(f-1);f=-g/2;g=1+g/2;var h=[f,f,g,f,g,g,f,f,g,g,f,g];f=new Float32Array(108);g=new Float32Array(72);for(var k=new Float32Array(36),m=0;6>m;m++){var n=m%3*2/3-1,p=2<m?0:-1;f.set([n,p,0,n+2/3,p,0,n+2/3,p+1,0,n,p,0,n+2/3,p+1,0,n,p+1,0],18*m);g.set(h,12*m);k.set([m,\n",
       "m,m,m,m,m],6*m)}h=new C;h.setAttribute(&quot;position&quot;,new M(f,3));h.setAttribute(&quot;uv&quot;,new M(g,2));h.setAttribute(&quot;faceIndex&quot;,new M(k,1));a.push(h);4<d&&d--}return{_lodPlanes:a,_sizeLods:b,_sigmas:c}}(),we=wh._lodPlanes,Ci=wh._sizeLods,Cf=wh._sigmas,Bf=null,T=null,Vg=null,Ac=(1+Math.sqrt(5))/2,Ad=1/Ac,Ai=[new n(1,1,1),new n(-1,1,1),new n(1,1,-1),new n(-1,1,-1),new n(0,Ac,Ad),new n(0,Ac,-Ad),new n(Ad,0,Ac),new n(-Ad,0,Ac),new n(Ac,Ad,0),new n(-Ac,Ad,0)];Tg.prototype={constructor:Tg,fromScene:function(a,\n",
       "b,c,d){void 0===b&&(b=0);void 0===c&&(c=.1);void 0===d&&(d=100);Vg=T.getRenderTarget();var e=ui();c=new aa(90,1,c,d);d=[1,1,1,1,-1,1];var f=[1,1,-1,-1,-1,1],g=T.outputEncoding,h=T.toneMapping,k=T.toneMappingExposure,m=T.getClearColor(),n=T.getClearAlpha();T.toneMapping=1;T.toneMappingExposure=1;T.outputEncoding=3E3;a.scale.z*=-1;var p=a.background;if(p&&p.isColor){p.convertSRGBToLinear();var t=Math.min(Math.max(Math.ceil(Math.log2(Math.max(p.r,p.g,p.b))),-128),127);p=p.multiplyScalar(Math.pow(2,-t));\n",
       "T.setClearColor(p,(t+128)/255);a.background=null}for(p=0;6>p;p++)t=p%3,0==t?(c.up.set(0,d[p],0),c.lookAt(f[p],0,0)):1==t?(c.up.set(0,0,d[p]),c.lookAt(0,f[p],0)):(c.up.set(0,d[p],0),c.lookAt(0,0,f[p])),Xg(e,t*kb,2<p?kb:0,kb,kb),T.setRenderTarget(e),T.render(a,c);T.toneMapping=h;T.toneMappingExposure=k;T.outputEncoding=g;T.setClearColor(m,n);a.scale.z*=-1;0<b&&zi(e,0,0,b);xi(e);wi(e);return e},fromEquirectangular:function(a){a.magFilter=1003;a.minFilter=1003;a.generateMipmaps=!1;return this.fromCubemap(a)},\n",
       "fromCubemap:function(a){Vg=T.getRenderTarget();var b=ui(a),c=new ob;a.isCubeTexture?null==Sb&&(Sb=Ei()):null==Rb&&(Rb=Di());var d=a.isCubeTexture?Sb:Rb;c.add(new S(we[0],d));d=d.uniforms;d.envMap.value=a;a.isCubeTexture||d.texelSize.value.set(1/a.image.width,1/a.image.height);d.inputEncoding.value=lb[a.encoding];d.outputEncoding.value=lb[a.encoding];Xg(b,0,0,3*kb,2*kb);T.setRenderTarget(b);T.render(c,Wg);xi(b);wi(b);return b},compileCubemapShader:function(){null==Sb&&(Sb=Ei(),Ug(Sb))},compileEquirectangularShader:function(){null==\n",
       "Rb&&(Rb=Di(),Ug(Rb))},dispose:function(){Af.dispose();null!=Sb&&Sb.dispose();null!=Rb&&Rb.dispose();for(var a=0;a<we.length;a++)we[a].dispose()}};G.create=function(a,b){console.log(&quot;THREE.Curve.create() has been deprecated&quot;);a.prototype=Object.create(G.prototype);a.prototype.constructor=a;a.prototype.getPoint=b;return a};Object.assign(vb.prototype,{createPointsGeometry:function(a){console.warn(&quot;THREE.CurvePath: .createPointsGeometry() has been removed. Use new THREE.Geometry().setFromPoints( points ) instead.&quot;);\n",
       "a=this.getPoints(a);return this.createGeometry(a)},createSpacedPointsGeometry:function(a){console.warn(&quot;THREE.CurvePath: .createSpacedPointsGeometry() has been removed. Use new THREE.Geometry().setFromPoints( points ) instead.&quot;);a=this.getSpacedPoints(a);return this.createGeometry(a)},createGeometry:function(a){console.warn(&quot;THREE.CurvePath: .createGeometry() has been removed. Use new THREE.Geometry().setFromPoints( points ) instead.&quot;);for(var b=new N,c=0,d=a.length;c<d;c++){var e=a[c];b.vertices.push(new n(e.x,\n",
       "e.y,e.z||0))}return b}});Object.assign($a.prototype,{fromPoints:function(a){console.warn(&quot;THREE.Path: .fromPoints() has been renamed to .setFromPoints().&quot;);return this.setFromPoints(a)}});Fi.prototype=Object.create(pa.prototype);Gi.prototype=Object.create(pa.prototype);$g.prototype=Object.create(pa.prototype);Object.assign($g.prototype,{initFromArray:function(){console.error(&quot;THREE.Spline: .initFromArray() has been removed.&quot;)},getControlPointsArray:function(){console.error(&quot;THREE.Spline: .getControlPointsArray() has been removed.&quot;)},\n",
       "reparametrizeByArcLength:function(){console.error(&quot;THREE.Spline: .reparametrizeByArcLength() has been removed.&quot;)}});wf.prototype.setColors=function(){console.error(&quot;THREE.GridHelper: setColors() has been deprecated, pass them in the constructor instead.&quot;)};rc.prototype.update=function(){console.error(&quot;THREE.SkeletonHelper: update() no longer needs to be called.&quot;)};Object.assign(W.prototype,{extractUrlBase:function(a){console.warn(&quot;THREE.Loader: .extractUrlBase() has been deprecated. Use THREE.LoaderUtils.extractUrlBase() instead.&quot;);\n",
       "return th.extractUrlBase(a)}});W.Handlers={add:function(){console.error(&quot;THREE.Loader: Handlers.add() has been removed. Use LoadingManager.addHandler() instead.&quot;)},get:function(){console.error(&quot;THREE.Loader: Handlers.get() has been removed. Use LoadingManager.getHandler() instead.&quot;)}};Object.assign(sf.prototype,{setTexturePath:function(a){console.warn(&quot;THREE.ObjectLoader: .setTexturePath() has been renamed to .setResourcePath().&quot;);return this.setResourcePath(a)}});Object.assign(Qg.prototype,{center:function(a){console.warn(&quot;THREE.Box2: .center() has been renamed to .getCenter().&quot;);\n",
       "return this.getCenter(a)},empty:function(){console.warn(&quot;THREE.Box2: .empty() has been renamed to .isEmpty().&quot;);return this.isEmpty()},isIntersectionBox:function(a){console.warn(&quot;THREE.Box2: .isIntersectionBox() has been renamed to .intersectsBox().&quot;);return this.intersectsBox(a)},size:function(a){console.warn(&quot;THREE.Box2: .size() has been renamed to .getSize().&quot;);return this.getSize(a)}});Object.assign(Sa.prototype,{center:function(a){console.warn(&quot;THREE.Box3: .center() has been renamed to .getCenter().&quot;);\n",
       "return this.getCenter(a)},empty:function(){console.warn(&quot;THREE.Box3: .empty() has been renamed to .isEmpty().&quot;);return this.isEmpty()},isIntersectionBox:function(a){console.warn(&quot;THREE.Box3: .isIntersectionBox() has been renamed to .intersectsBox().&quot;);return this.intersectsBox(a)},isIntersectionSphere:function(a){console.warn(&quot;THREE.Box3: .isIntersectionSphere() has been renamed to .intersectsSphere().&quot;);return this.intersectsSphere(a)},size:function(a){console.warn(&quot;THREE.Box3: .size() has been renamed to .getSize().&quot;);\n",
       "return this.getSize(a)}});Hc.prototype.setFromMatrix=function(a){console.warn(&quot;THREE.Frustum: .setFromMatrix() has been renamed to .setFromProjectionMatrix().&quot;);return this.setFromProjectionMatrix(a)};Rg.prototype.center=function(a){console.warn(&quot;THREE.Line3: .center() has been renamed to .getCenter().&quot;);return this.getCenter(a)};Object.assign(L,{random16:function(){console.warn(&quot;THREE.Math: .random16() has been deprecated. Use Math.random() instead.&quot;);return Math.random()},nearestPowerOfTwo:function(a){console.warn(&quot;THREE.Math: .nearestPowerOfTwo() has been renamed to .floorPowerOfTwo().&quot;);\n",
       "return L.floorPowerOfTwo(a)},nextPowerOfTwo:function(a){console.warn(&quot;THREE.Math: .nextPowerOfTwo() has been renamed to .ceilPowerOfTwo().&quot;);return L.ceilPowerOfTwo(a)}});Object.assign(wa.prototype,{flattenToArrayOffset:function(a,b){console.warn(&quot;THREE.Matrix3: .flattenToArrayOffset() has been deprecated. Use .toArray() instead.&quot;);return this.toArray(a,b)},multiplyVector3:function(a){console.warn(&quot;THREE.Matrix3: .multiplyVector3() has been removed. Use vector.applyMatrix3( matrix ) instead.&quot;);return a.applyMatrix3(this)},\n",
       "multiplyVector3Array:function(){console.error(&quot;THREE.Matrix3: .multiplyVector3Array() has been removed.&quot;)},applyToBufferAttribute:function(a){console.warn(&quot;THREE.Matrix3: .applyToBufferAttribute() has been removed. Use attribute.applyMatrix3( matrix ) instead.&quot;);return a.applyMatrix3(this)},applyToVector3Array:function(){console.error(&quot;THREE.Matrix3: .applyToVector3Array() has been removed.&quot;)}});Object.assign(P.prototype,{extractPosition:function(a){console.warn(&quot;THREE.Matrix4: .extractPosition() has been renamed to .copyPosition().&quot;);\n",
       "return this.copyPosition(a)},flattenToArrayOffset:function(a,b){console.warn(&quot;THREE.Matrix4: .flattenToArrayOffset() has been deprecated. Use .toArray() instead.&quot;);return this.toArray(a,b)},getPosition:function(){console.warn(&quot;THREE.Matrix4: .getPosition() has been removed. Use Vector3.setFromMatrixPosition( matrix ) instead.&quot;);return(new n).setFromMatrixColumn(this,3)},setRotationFromQuaternion:function(a){console.warn(&quot;THREE.Matrix4: .setRotationFromQuaternion() has been renamed to .makeRotationFromQuaternion().&quot;);\n",
       "return this.makeRotationFromQuaternion(a)},multiplyToArray:function(){console.warn(&quot;THREE.Matrix4: .multiplyToArray() has been removed.&quot;)},multiplyVector3:function(a){console.warn(&quot;THREE.Matrix4: .multiplyVector3() has been removed. Use vector.applyMatrix4( matrix ) instead.&quot;);return a.applyMatrix4(this)},multiplyVector4:function(a){console.warn(&quot;THREE.Matrix4: .multiplyVector4() has been removed. Use vector.applyMatrix4( matrix ) instead.&quot;);return a.applyMatrix4(this)},multiplyVector3Array:function(){console.error(&quot;THREE.Matrix4: .multiplyVector3Array() has been removed.&quot;)},\n",
       "rotateAxis:function(a){console.warn(&quot;THREE.Matrix4: .rotateAxis() has been removed. Use Vector3.transformDirection( matrix ) instead.&quot;);a.transformDirection(this)},crossVector:function(a){console.warn(&quot;THREE.Matrix4: .crossVector() has been removed. Use vector.applyMatrix4( matrix ) instead.&quot;);return a.applyMatrix4(this)},translate:function(){console.error(&quot;THREE.Matrix4: .translate() has been removed.&quot;)},rotateX:function(){console.error(&quot;THREE.Matrix4: .rotateX() has been removed.&quot;)},rotateY:function(){console.error(&quot;THREE.Matrix4: .rotateY() has been removed.&quot;)},\n",
       "rotateZ:function(){console.error(&quot;THREE.Matrix4: .rotateZ() has been removed.&quot;)},rotateByAxis:function(){console.error(&quot;THREE.Matrix4: .rotateByAxis() has been removed.&quot;)},applyToBufferAttribute:function(a){console.warn(&quot;THREE.Matrix4: .applyToBufferAttribute() has been removed. Use attribute.applyMatrix4( matrix ) instead.&quot;);return a.applyMatrix4(this)},applyToVector3Array:function(){console.error(&quot;THREE.Matrix4: .applyToVector3Array() has been removed.&quot;)},makeFrustum:function(a,b,c,d,e,f){console.warn(&quot;THREE.Matrix4: .makeFrustum() has been removed. Use .makePerspective( left, right, top, bottom, near, far ) instead.&quot;);\n",
       "return this.makePerspective(a,b,d,c,e,f)}});Ta.prototype.isIntersectionLine=function(a){console.warn(&quot;THREE.Plane: .isIntersectionLine() has been renamed to .intersectsLine().&quot;);return this.intersectsLine(a)};Aa.prototype.multiplyVector3=function(a){console.warn(&quot;THREE.Quaternion: .multiplyVector3() has been removed. Use is now vector.applyQuaternion( quaternion ) instead.&quot;);return a.applyQuaternion(this)};Object.assign(Vb.prototype,{isIntersectionBox:function(a){console.warn(&quot;THREE.Ray: .isIntersectionBox() has been renamed to .intersectsBox().&quot;);\n",
       "return this.intersectsBox(a)},isIntersectionPlane:function(a){console.warn(&quot;THREE.Ray: .isIntersectionPlane() has been renamed to .intersectsPlane().&quot;);return this.intersectsPlane(a)},isIntersectionSphere:function(a){console.warn(&quot;THREE.Ray: .isIntersectionSphere() has been renamed to .intersectsSphere().&quot;);return this.intersectsSphere(a)}});Object.assign(oa.prototype,{area:function(){console.warn(&quot;THREE.Triangle: .area() has been renamed to .getArea().&quot;);return this.getArea()},barycoordFromPoint:function(a,\n",
       "b){console.warn(&quot;THREE.Triangle: .barycoordFromPoint() has been renamed to .getBarycoord().&quot;);return this.getBarycoord(a,b)},midpoint:function(a){console.warn(&quot;THREE.Triangle: .midpoint() has been renamed to .getMidpoint().&quot;);return this.getMidpoint(a)},normal:function(a){console.warn(&quot;THREE.Triangle: .normal() has been renamed to .getNormal().&quot;);return this.getNormal(a)},plane:function(a){console.warn(&quot;THREE.Triangle: .plane() has been renamed to .getPlane().&quot;);return this.getPlane(a)}});Object.assign(oa,\n",
       "{barycoordFromPoint:function(a,b,c,d,e){console.warn(&quot;THREE.Triangle: .barycoordFromPoint() has been renamed to .getBarycoord().&quot;);return oa.getBarycoord(a,b,c,d,e)},normal:function(a,b,c,d){console.warn(&quot;THREE.Triangle: .normal() has been renamed to .getNormal().&quot;);return oa.getNormal(a,b,c,d)}});Object.assign(Kb.prototype,{extractAllPoints:function(a){console.warn(&quot;THREE.Shape: .extractAllPoints() has been removed. Use .extractPoints() instead.&quot;);return this.extractPoints(a)},extrude:function(a){console.warn(&quot;THREE.Shape: .extrude() has been removed. Use ExtrudeGeometry() instead.&quot;);\n",
       "return new fc(this,a)},makeGeometry:function(a){console.warn(&quot;THREE.Shape: .makeGeometry() has been removed. Use ShapeGeometry() instead.&quot;);return new hc(this,a)}});Object.assign(t.prototype,{fromAttribute:function(a,b,c){console.warn(&quot;THREE.Vector2: .fromAttribute() has been renamed to .fromBufferAttribute().&quot;);return this.fromBufferAttribute(a,b,c)},distanceToManhattan:function(a){console.warn(&quot;THREE.Vector2: .distanceToManhattan() has been renamed to .manhattanDistanceTo().&quot;);return this.manhattanDistanceTo(a)},\n",
       "lengthManhattan:function(){console.warn(&quot;THREE.Vector2: .lengthManhattan() has been renamed to .manhattanLength().&quot;);return this.manhattanLength()}});Object.assign(n.prototype,{setEulerFromRotationMatrix:function(){console.error(&quot;THREE.Vector3: .setEulerFromRotationMatrix() has been removed. Use Euler.setFromRotationMatrix() instead.&quot;)},setEulerFromQuaternion:function(){console.error(&quot;THREE.Vector3: .setEulerFromQuaternion() has been removed. Use Euler.setFromQuaternion() instead.&quot;)},getPositionFromMatrix:function(a){console.warn(&quot;THREE.Vector3: .getPositionFromMatrix() has been renamed to .setFromMatrixPosition().&quot;);\n",
       "return this.setFromMatrixPosition(a)},getScaleFromMatrix:function(a){console.warn(&quot;THREE.Vector3: .getScaleFromMatrix() has been renamed to .setFromMatrixScale().&quot;);return this.setFromMatrixScale(a)},getColumnFromMatrix:function(a,b){console.warn(&quot;THREE.Vector3: .getColumnFromMatrix() has been renamed to .setFromMatrixColumn().&quot;);return this.setFromMatrixColumn(b,a)},applyProjection:function(a){console.warn(&quot;THREE.Vector3: .applyProjection() has been removed. Use .applyMatrix4( m ) instead.&quot;);return this.applyMatrix4(a)},\n",
       "fromAttribute:function(a,b,c){console.warn(&quot;THREE.Vector3: .fromAttribute() has been renamed to .fromBufferAttribute().&quot;);return this.fromBufferAttribute(a,b,c)},distanceToManhattan:function(a){console.warn(&quot;THREE.Vector3: .distanceToManhattan() has been renamed to .manhattanDistanceTo().&quot;);return this.manhattanDistanceTo(a)},lengthManhattan:function(){console.warn(&quot;THREE.Vector3: .lengthManhattan() has been renamed to .manhattanLength().&quot;);return this.manhattanLength()}});Object.assign(ka.prototype,\n",
       "{fromAttribute:function(a,b,c){console.warn(&quot;THREE.Vector4: .fromAttribute() has been renamed to .fromBufferAttribute().&quot;);return this.fromBufferAttribute(a,b,c)},lengthManhattan:function(){console.warn(&quot;THREE.Vector4: .lengthManhattan() has been renamed to .manhattanLength().&quot;);return this.manhattanLength()}});Object.assign(N.prototype,{computeTangents:function(){console.error(&quot;THREE.Geometry: .computeTangents() has been removed.&quot;)},computeLineDistances:function(){console.error(&quot;THREE.Geometry: .computeLineDistances() has been removed. Use THREE.Line.computeLineDistances() instead.&quot;)},\n",
       "applyMatrix:function(a){console.warn(&quot;THREE.Geometry: .applyMatrix() has been renamed to .applyMatrix4().&quot;);return this.applyMatrix4(a)}});Object.assign(F.prototype,{getChildByName:function(a){console.warn(&quot;THREE.Object3D: .getChildByName() has been renamed to .getObjectByName().&quot;);return this.getObjectByName(a)},renderDepth:function(){console.warn(&quot;THREE.Object3D: .renderDepth has been removed. Use .renderOrder, instead.&quot;)},translate:function(a,b){console.warn(&quot;THREE.Object3D: .translate() has been removed. Use .translateOnAxis( axis, distance ) instead.&quot;);\n",
       "return this.translateOnAxis(b,a)},getWorldRotation:function(){console.error(&quot;THREE.Object3D: .getWorldRotation() has been removed. Use THREE.Object3D.getWorldQuaternion( target ) instead.&quot;)},applyMatrix:function(a){console.warn(&quot;THREE.Object3D: .applyMatrix() has been renamed to .applyMatrix4().&quot;);return this.applyMatrix4(a)}});Object.defineProperties(F.prototype,{eulerOrder:{get:function(){console.warn(&quot;THREE.Object3D: .eulerOrder is now .rotation.order.&quot;);return this.rotation.order},set:function(a){console.warn(&quot;THREE.Object3D: .eulerOrder is now .rotation.order.&quot;);\n",
       "this.rotation.order=a}},useQuaternion:{get:function(){console.warn(&quot;THREE.Object3D: .useQuaternion has been removed. The library now uses quaternions by default.&quot;)},set:function(){console.warn(&quot;THREE.Object3D: .useQuaternion has been removed. The library now uses quaternions by default.&quot;)}}});Object.assign(S.prototype,{setDrawMode:function(){console.error(&quot;THREE.Mesh: .setDrawMode() has been removed. The renderer now always assumes THREE.TrianglesDrawMode. Transform your geometry via BufferGeometryUtils.toTrianglesDrawMode() if necessary.&quot;)}});\n",
       "Object.defineProperties(S.prototype,{drawMode:{get:function(){console.error(&quot;THREE.Mesh: .drawMode has been removed. The renderer now always assumes THREE.TrianglesDrawMode.&quot;);return 0},set:function(){console.error(&quot;THREE.Mesh: .drawMode has been removed. The renderer now always assumes THREE.TrianglesDrawMode. Transform your geometry via BufferGeometryUtils.toTrianglesDrawMode() if necessary.&quot;)}}});Object.defineProperties(Rd.prototype,{objects:{get:function(){console.warn(&quot;THREE.LOD: .objects has been renamed to .levels.&quot;);\n",
       "return this.levels}}});Object.defineProperty(Ue.prototype,&quot;useVertexTexture&quot;,{get:function(){console.warn(&quot;THREE.Skeleton: useVertexTexture has been removed.&quot;)},set:function(){console.warn(&quot;THREE.Skeleton: useVertexTexture has been removed.&quot;)}});Te.prototype.initBones=function(){console.error(&quot;THREE.SkinnedMesh: initBones() has been removed.&quot;)};Object.defineProperty(G.prototype,&quot;__arcLengthDivisions&quot;,{get:function(){console.warn(&quot;THREE.Curve: .__arcLengthDivisions is now .arcLengthDivisions.&quot;);return this.arcLengthDivisions},\n",
       "set:function(a){console.warn(&quot;THREE.Curve: .__arcLengthDivisions is now .arcLengthDivisions.&quot;);this.arcLengthDivisions=a}});aa.prototype.setLens=function(a,b){console.warn(&quot;THREE.PerspectiveCamera.setLens is deprecated. Use .setFocalLength and .filmGauge for a photographic setup.&quot;);void 0!==b&&(this.filmGauge=b);this.setFocalLength(a)};Object.defineProperties(da.prototype,{onlyShadow:{set:function(){console.warn(&quot;THREE.Light: .onlyShadow has been removed.&quot;)}},shadowCameraFov:{set:function(a){console.warn(&quot;THREE.Light: .shadowCameraFov is now .shadow.camera.fov.&quot;);\n",
       "this.shadow.camera.fov=a}},shadowCameraLeft:{set:function(a){console.warn(&quot;THREE.Light: .shadowCameraLeft is now .shadow.camera.left.&quot;);this.shadow.camera.left=a}},shadowCameraRight:{set:function(a){console.warn(&quot;THREE.Light: .shadowCameraRight is now .shadow.camera.right.&quot;);this.shadow.camera.right=a}},shadowCameraTop:{set:function(a){console.warn(&quot;THREE.Light: .shadowCameraTop is now .shadow.camera.top.&quot;);this.shadow.camera.top=a}},shadowCameraBottom:{set:function(a){console.warn(&quot;THREE.Light: .shadowCameraBottom is now .shadow.camera.bottom.&quot;);\n",
       "this.shadow.camera.bottom=a}},shadowCameraNear:{set:function(a){console.warn(&quot;THREE.Light: .shadowCameraNear is now .shadow.camera.near.&quot;);this.shadow.camera.near=a}},shadowCameraFar:{set:function(a){console.warn(&quot;THREE.Light: .shadowCameraFar is now .shadow.camera.far.&quot;);this.shadow.camera.far=a}},shadowCameraVisible:{set:function(){console.warn(&quot;THREE.Light: .shadowCameraVisible has been removed. Use new THREE.CameraHelper( light.shadow.camera ) instead.&quot;)}},shadowBias:{set:function(a){console.warn(&quot;THREE.Light: .shadowBias is now .shadow.bias.&quot;);\n",
       "this.shadow.bias=a}},shadowDarkness:{set:function(){console.warn(&quot;THREE.Light: .shadowDarkness has been removed.&quot;)}},shadowMapWidth:{set:function(a){console.warn(&quot;THREE.Light: .shadowMapWidth is now .shadow.mapSize.width.&quot;);this.shadow.mapSize.width=a}},shadowMapHeight:{set:function(a){console.warn(&quot;THREE.Light: .shadowMapHeight is now .shadow.mapSize.height.&quot;);this.shadow.mapSize.height=a}}});Object.defineProperties(M.prototype,{length:{get:function(){console.warn(&quot;THREE.BufferAttribute: .length has been deprecated. Use .count instead.&quot;);\n",
       "return this.array.length}},dynamic:{get:function(){console.warn(&quot;THREE.BufferAttribute: .dynamic has been deprecated. Use .usage instead.&quot;);return 35048===this.usage},set:function(){console.warn(&quot;THREE.BufferAttribute: .dynamic has been deprecated. Use .usage instead.&quot;);this.setUsage(35048)}}});Object.assign(M.prototype,{setDynamic:function(a){console.warn(&quot;THREE.BufferAttribute: .setDynamic() has been deprecated. Use .setUsage() instead.&quot;);this.setUsage(!0===a?35048:35044);return this},copyIndicesArray:function(){console.error(&quot;THREE.BufferAttribute: .copyIndicesArray() has been removed.&quot;)},\n",
       "setArray:function(){console.error(&quot;THREE.BufferAttribute: .setArray has been removed. Use BufferGeometry .setAttribute to replace/resize attribute buffers&quot;)}});Object.assign(C.prototype,{addIndex:function(a){console.warn(&quot;THREE.BufferGeometry: .addIndex() has been renamed to .setIndex().&quot;);this.setIndex(a)},addAttribute:function(a,b,c){console.warn(&quot;THREE.BufferGeometry: .addAttribute() has been renamed to .setAttribute().&quot;);return b&&b.isBufferAttribute||b&&b.isInterleavedBufferAttribute?&quot;index&quot;===\n",
       "a?(console.warn(&quot;THREE.BufferGeometry.addAttribute: Use .setIndex() for index attribute.&quot;),this.setIndex(b),this):this.setAttribute(a,b):(console.warn(&quot;THREE.BufferGeometry: .addAttribute() now expects ( name, attribute ).&quot;),this.setAttribute(a,new M(b,c)))},addDrawCall:function(a,b,c){void 0!==c&&console.warn(&quot;THREE.BufferGeometry: .addDrawCall() no longer supports indexOffset.&quot;);console.warn(&quot;THREE.BufferGeometry: .addDrawCall() is now .addGroup().&quot;);this.addGroup(a,b)},clearDrawCalls:function(){console.warn(&quot;THREE.BufferGeometry: .clearDrawCalls() is now .clearGroups().&quot;);\n",
       "this.clearGroups()},computeTangents:function(){console.warn(&quot;THREE.BufferGeometry: .computeTangents() has been removed.&quot;)},computeOffsets:function(){console.warn(&quot;THREE.BufferGeometry: .computeOffsets() has been removed.&quot;)},removeAttribute:function(a){console.warn(&quot;THREE.BufferGeometry: .removeAttribute() has been renamed to .deleteAttribute().&quot;);return this.deleteAttribute(a)},applyMatrix:function(a){console.warn(&quot;THREE.BufferGeometry: .applyMatrix() has been renamed to .applyMatrix4().&quot;);return this.applyMatrix4(a)}});\n",
       "Object.defineProperties(C.prototype,{drawcalls:{get:function(){console.error(&quot;THREE.BufferGeometry: .drawcalls has been renamed to .groups.&quot;);return this.groups}},offsets:{get:function(){console.warn(&quot;THREE.BufferGeometry: .offsets has been renamed to .groups.&quot;);return this.groups}}});Object.defineProperties(Og.prototype,{linePrecision:{get:function(){console.warn(&quot;THREE.Raycaster: .linePrecision has been deprecated. Use .params.Line.threshold instead.&quot;);return this.params.Line.threshold},set:function(a){console.warn(&quot;THREE.Raycaster: .linePrecision has been deprecated. Use .params.Line.threshold instead.&quot;);\n",
       "this.params.Line.threshold=a}}});Object.defineProperties(rb.prototype,{dynamic:{get:function(){console.warn(&quot;THREE.InterleavedBuffer: .length has been deprecated. Use .usage instead.&quot;);return 35048===this.usage},set:function(a){console.warn(&quot;THREE.InterleavedBuffer: .length has been deprecated. Use .usage instead.&quot;);this.setUsage(a)}}});Object.assign(rb.prototype,{setDynamic:function(a){console.warn(&quot;THREE.InterleavedBuffer: .setDynamic() has been deprecated. Use .setUsage() instead.&quot;);this.setUsage(!0===\n",
       "a?35048:35044);return this},setArray:function(){console.error(&quot;THREE.InterleavedBuffer: .setArray has been removed. Use BufferGeometry .setAttribute to replace/resize attribute buffers&quot;)}});Object.assign(fb.prototype,{getArrays:function(){console.error(&quot;THREE.ExtrudeBufferGeometry: .getArrays() has been removed.&quot;)},addShapeList:function(){console.error(&quot;THREE.ExtrudeBufferGeometry: .addShapeList() has been removed.&quot;)},addShape:function(){console.error(&quot;THREE.ExtrudeBufferGeometry: .addShape() has been removed.&quot;)}});\n",
       "Object.defineProperties(vf.prototype,{dynamic:{set:function(){console.warn(&quot;THREE.Uniform: .dynamic has been removed. Use object.onBeforeRender() instead.&quot;)}},onUpdate:{value:function(){console.warn(&quot;THREE.Uniform: .onUpdate() has been removed. Use object.onBeforeRender() instead.&quot;);return this}}});Object.defineProperties(K.prototype,{wrapAround:{get:function(){console.warn(&quot;THREE.Material: .wrapAround has been removed.&quot;)},set:function(){console.warn(&quot;THREE.Material: .wrapAround has been removed.&quot;)}},\n",
       "overdraw:{get:function(){console.warn(&quot;THREE.Material: .overdraw has been removed.&quot;)},set:function(){console.warn(&quot;THREE.Material: .overdraw has been removed.&quot;)}},wrapRGB:{get:function(){console.warn(&quot;THREE.Material: .wrapRGB has been removed.&quot;);return new A}},shading:{get:function(){console.error(&quot;THREE.&quot;+this.type+&quot;: .shading has been removed. Use the boolean .flatShading instead.&quot;)},set:function(a){console.warn(&quot;THREE.&quot;+this.type+&quot;: .shading has been removed. Use the boolean .flatShading instead.&quot;);\n",
       "this.flatShading=1===a}},stencilMask:{get:function(){console.warn(&quot;THREE.&quot;+this.type+&quot;: .stencilMask has been removed. Use .stencilFuncMask instead.&quot;);return this.stencilFuncMask},set:function(a){console.warn(&quot;THREE.&quot;+this.type+&quot;: .stencilMask has been removed. Use .stencilFuncMask instead.&quot;);this.stencilFuncMask=a}}});Object.defineProperties(Jb.prototype,{metal:{get:function(){console.warn(&quot;THREE.MeshPhongMaterial: .metal has been removed. Use THREE.MeshStandardMaterial instead.&quot;);return!1},set:function(){console.warn(&quot;THREE.MeshPhongMaterial: .metal has been removed. Use THREE.MeshStandardMaterial instead&quot;)}}});\n",
       "Object.defineProperties(Ba.prototype,{derivatives:{get:function(){console.warn(&quot;THREE.ShaderMaterial: .derivatives has been moved to .extensions.derivatives.&quot;);return this.extensions.derivatives},set:function(a){console.warn(&quot;THREE. ShaderMaterial: .derivatives has been moved to .extensions.derivatives.&quot;);this.extensions.derivatives=a}}});Object.assign(og.prototype,{clearTarget:function(a,b,c,d){console.warn(&quot;THREE.WebGLRenderer: .clearTarget() has been deprecated. Use .setRenderTarget() and .clear() instead.&quot;);\n",
       "this.setRenderTarget(a);this.clear(b,c,d)},animate:function(a){console.warn(&quot;THREE.WebGLRenderer: .animate() is now .setAnimationLoop().&quot;);this.setAnimationLoop(a)},getCurrentRenderTarget:function(){console.warn(&quot;THREE.WebGLRenderer: .getCurrentRenderTarget() is now .getRenderTarget().&quot;);return this.getRenderTarget()},getMaxAnisotropy:function(){console.warn(&quot;THREE.WebGLRenderer: .getMaxAnisotropy() is now .capabilities.getMaxAnisotropy().&quot;);return this.capabilities.getMaxAnisotropy()},getPrecision:function(){console.warn(&quot;THREE.WebGLRenderer: .getPrecision() is now .capabilities.precision.&quot;);\n",
       "return this.capabilities.precision},resetGLState:function(){console.warn(&quot;THREE.WebGLRenderer: .resetGLState() is now .state.reset().&quot;);return this.state.reset()},supportsFloatTextures:function(){console.warn(&quot;THREE.WebGLRenderer: .supportsFloatTextures() is now .extensions.get( 'OES_texture_float' ).&quot;);return this.extensions.get(&quot;OES_texture_float&quot;)},supportsHalfFloatTextures:function(){console.warn(&quot;THREE.WebGLRenderer: .supportsHalfFloatTextures() is now .extensions.get( 'OES_texture_half_float' ).&quot;);\n",
       "return this.extensions.get(&quot;OES_texture_half_float&quot;)},supportsStandardDerivatives:function(){console.warn(&quot;THREE.WebGLRenderer: .supportsStandardDerivatives() is now .extensions.get( 'OES_standard_derivatives' ).&quot;);return this.extensions.get(&quot;OES_standard_derivatives&quot;)},supportsCompressedTextureS3TC:function(){console.warn(&quot;THREE.WebGLRenderer: .supportsCompressedTextureS3TC() is now .extensions.get( 'WEBGL_compressed_texture_s3tc' ).&quot;);return this.extensions.get(&quot;WEBGL_compressed_texture_s3tc&quot;)},\n",
       "supportsCompressedTexturePVRTC:function(){console.warn(&quot;THREE.WebGLRenderer: .supportsCompressedTexturePVRTC() is now .extensions.get( 'WEBGL_compressed_texture_pvrtc' ).&quot;);return this.extensions.get(&quot;WEBGL_compressed_texture_pvrtc&quot;)},supportsBlendMinMax:function(){console.warn(&quot;THREE.WebGLRenderer: .supportsBlendMinMax() is now .extensions.get( 'EXT_blend_minmax' ).&quot;);return this.extensions.get(&quot;EXT_blend_minmax&quot;)},supportsVertexTextures:function(){console.warn(&quot;THREE.WebGLRenderer: .supportsVertexTextures() is now .capabilities.vertexTextures.&quot;);\n",
       "return this.capabilities.vertexTextures},supportsInstancedArrays:function(){console.warn(&quot;THREE.WebGLRenderer: .supportsInstancedArrays() is now .extensions.get( 'ANGLE_instanced_arrays' ).&quot;);return this.extensions.get(&quot;ANGLE_instanced_arrays&quot;)},enableScissorTest:function(a){console.warn(&quot;THREE.WebGLRenderer: .enableScissorTest() is now .setScissorTest().&quot;);this.setScissorTest(a)},initMaterial:function(){console.warn(&quot;THREE.WebGLRenderer: .initMaterial() has been removed.&quot;)},addPrePlugin:function(){console.warn(&quot;THREE.WebGLRenderer: .addPrePlugin() has been removed.&quot;)},\n",
       "addPostPlugin:function(){console.warn(&quot;THREE.WebGLRenderer: .addPostPlugin() has been removed.&quot;)},updateShadowMap:function(){console.warn(&quot;THREE.WebGLRenderer: .updateShadowMap() has been removed.&quot;)},setFaceCulling:function(){console.warn(&quot;THREE.WebGLRenderer: .setFaceCulling() has been removed.&quot;)},allocTextureUnit:function(){console.warn(&quot;THREE.WebGLRenderer: .allocTextureUnit() has been removed.&quot;)},setTexture:function(){console.warn(&quot;THREE.WebGLRenderer: .setTexture() has been removed.&quot;)},setTexture2D:function(){console.warn(&quot;THREE.WebGLRenderer: .setTexture2D() has been removed.&quot;)},\n",
       "setTextureCube:function(){console.warn(&quot;THREE.WebGLRenderer: .setTextureCube() has been removed.&quot;)},getActiveMipMapLevel:function(){console.warn(&quot;THREE.WebGLRenderer: .getActiveMipMapLevel() is now .getActiveMipmapLevel().&quot;);return this.getActiveMipmapLevel()}});Object.defineProperties(og.prototype,{shadowMapEnabled:{get:function(){return this.shadowMap.enabled},set:function(a){console.warn(&quot;THREE.WebGLRenderer: .shadowMapEnabled is now .shadowMap.enabled.&quot;);this.shadowMap.enabled=a}},shadowMapType:{get:function(){return this.shadowMap.type},\n",
       "set:function(a){console.warn(&quot;THREE.WebGLRenderer: .shadowMapType is now .shadowMap.type.&quot;);this.shadowMap.type=a}},shadowMapCullFace:{get:function(){console.warn(&quot;THREE.WebGLRenderer: .shadowMapCullFace has been removed. Set Material.shadowSide instead.&quot;)},set:function(){console.warn(&quot;THREE.WebGLRenderer: .shadowMapCullFace has been removed. Set Material.shadowSide instead.&quot;)}},context:{get:function(){console.warn(&quot;THREE.WebGLRenderer: .context has been removed. Use .getContext() instead.&quot;);return this.getContext()}},\n",
       "vr:{get:function(){console.warn(&quot;THREE.WebGLRenderer: .vr has been renamed to .xr&quot;);return this.xr}},gammaInput:{get:function(){console.warn(&quot;THREE.WebGLRenderer: .gammaInput has been removed. Set the encoding for textures via Texture.encoding instead.&quot;);return!1},set:function(){console.warn(&quot;THREE.WebGLRenderer: .gammaInput has been removed. Set the encoding for textures via Texture.encoding instead.&quot;)}},gammaOutput:{get:function(){console.warn(&quot;THREE.WebGLRenderer: .gammaOutput has been removed. Set WebGLRenderer.outputEncoding instead.&quot;);\n",
       "return!1},set:function(a){console.warn(&quot;THREE.WebGLRenderer: .gammaOutput has been removed. Set WebGLRenderer.outputEncoding instead.&quot;);this.outputEncoding=!0===a?3001:3E3}}});Object.defineProperties(Xh.prototype,{cullFace:{get:function(){console.warn(&quot;THREE.WebGLRenderer: .shadowMap.cullFace has been removed. Set Material.shadowSide instead.&quot;)},set:function(){console.warn(&quot;THREE.WebGLRenderer: .shadowMap.cullFace has been removed. Set Material.shadowSide instead.&quot;)}},renderReverseSided:{get:function(){console.warn(&quot;THREE.WebGLRenderer: .shadowMap.renderReverseSided has been removed. Set Material.shadowSide instead.&quot;)},\n",
       "set:function(){console.warn(&quot;THREE.WebGLRenderer: .shadowMap.renderReverseSided has been removed. Set Material.shadowSide instead.&quot;)}},renderSingleSided:{get:function(){console.warn(&quot;THREE.WebGLRenderer: .shadowMap.renderSingleSided has been removed. Set Material.shadowSide instead.&quot;)},set:function(){console.warn(&quot;THREE.WebGLRenderer: .shadowMap.renderSingleSided has been removed. Set Material.shadowSide instead.&quot;)}}});Object.defineProperties(Ha.prototype,{wrapS:{get:function(){console.warn(&quot;THREE.WebGLRenderTarget: .wrapS is now .texture.wrapS.&quot;);\n",
       "return this.texture.wrapS},set:function(a){console.warn(&quot;THREE.WebGLRenderTarget: .wrapS is now .texture.wrapS.&quot;);this.texture.wrapS=a}},wrapT:{get:function(){console.warn(&quot;THREE.WebGLRenderTarget: .wrapT is now .texture.wrapT.&quot;);return this.texture.wrapT},set:function(a){console.warn(&quot;THREE.WebGLRenderTarget: .wrapT is now .texture.wrapT.&quot;);this.texture.wrapT=a}},magFilter:{get:function(){console.warn(&quot;THREE.WebGLRenderTarget: .magFilter is now .texture.magFilter.&quot;);return this.texture.magFilter},\n",
       "set:function(a){console.warn(&quot;THREE.WebGLRenderTarget: .magFilter is now .texture.magFilter.&quot;);this.texture.magFilter=a}},minFilter:{get:function(){console.warn(&quot;THREE.WebGLRenderTarget: .minFilter is now .texture.minFilter.&quot;);return this.texture.minFilter},set:function(a){console.warn(&quot;THREE.WebGLRenderTarget: .minFilter is now .texture.minFilter.&quot;);this.texture.minFilter=a}},anisotropy:{get:function(){console.warn(&quot;THREE.WebGLRenderTarget: .anisotropy is now .texture.anisotropy.&quot;);return this.texture.anisotropy},\n",
       "set:function(a){console.warn(&quot;THREE.WebGLRenderTarget: .anisotropy is now .texture.anisotropy.&quot;);this.texture.anisotropy=a}},offset:{get:function(){console.warn(&quot;THREE.WebGLRenderTarget: .offset is now .texture.offset.&quot;);return this.texture.offset},set:function(a){console.warn(&quot;THREE.WebGLRenderTarget: .offset is now .texture.offset.&quot;);this.texture.offset=a}},repeat:{get:function(){console.warn(&quot;THREE.WebGLRenderTarget: .repeat is now .texture.repeat.&quot;);return this.texture.repeat},set:function(a){console.warn(&quot;THREE.WebGLRenderTarget: .repeat is now .texture.repeat.&quot;);\n",
       "this.texture.repeat=a}},format:{get:function(){console.warn(&quot;THREE.WebGLRenderTarget: .format is now .texture.format.&quot;);return this.texture.format},set:function(a){console.warn(&quot;THREE.WebGLRenderTarget: .format is now .texture.format.&quot;);this.texture.format=a}},type:{get:function(){console.warn(&quot;THREE.WebGLRenderTarget: .type is now .texture.type.&quot;);return this.texture.type},set:function(a){console.warn(&quot;THREE.WebGLRenderTarget: .type is now .texture.type.&quot;);this.texture.type=a}},generateMipmaps:{get:function(){console.warn(&quot;THREE.WebGLRenderTarget: .generateMipmaps is now .texture.generateMipmaps.&quot;);\n",
       "return this.texture.generateMipmaps},set:function(a){console.warn(&quot;THREE.WebGLRenderTarget: .generateMipmaps is now .texture.generateMipmaps.&quot;);this.texture.generateMipmaps=a}}});Object.defineProperties(id.prototype,{load:{value:function(a){console.warn(&quot;THREE.Audio: .load has been deprecated. Use THREE.AudioLoader instead.&quot;);var b=this;(new tf).load(a,function(a){b.setBuffer(a)});return this}},startTime:{set:function(){console.warn(&quot;THREE.Audio: .startTime is now .play( delay ).&quot;)}}});Kg.prototype.getData=\n",
       "function(){console.warn(&quot;THREE.AudioAnalyser: .getData() is now .getFrequencyData().&quot;);return this.getFrequencyData()};Gc.prototype.updateCubeMap=function(a,b){console.warn(&quot;THREE.CubeCamera: .updateCubeMap() is now .update().&quot;);return this.update(a,b)};Lb.crossOrigin=void 0;Lb.loadTexture=function(a,b,c,d){console.warn(&quot;THREE.ImageUtils.loadTexture has been deprecated. Use THREE.TextureLoader() instead.&quot;);var e=new ef;e.setCrossOrigin(this.crossOrigin);a=e.load(a,c,void 0,d);b&&(a.mapping=b);return a};\n",
       "Lb.loadTextureCube=function(a,b,c,d){console.warn(&quot;THREE.ImageUtils.loadTextureCube has been deprecated. Use THREE.CubeTextureLoader() instead.&quot;);var e=new df;e.setCrossOrigin(this.crossOrigin);a=e.load(a,c,void 0,d);b&&(a.mapping=b);return a};Lb.loadCompressedTexture=function(){console.error(&quot;THREE.ImageUtils.loadCompressedTexture has been removed. Use THREE.DDSLoader instead.&quot;)};Lb.loadCompressedTextureCube=function(){console.error(&quot;THREE.ImageUtils.loadCompressedTextureCube has been removed. Use THREE.DDSLoader instead.&quot;)};\n",
       "&quot;undefined&quot;!==typeof __THREE_DEVTOOLS__&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent(&quot;register&quot;,{detail:{revision:&quot;115&quot;}}));k.ACESFilmicToneMapping=5;k.AddEquation=100;k.AddOperation=2;k.AdditiveBlending=2;k.AlphaFormat=1021;k.AlwaysDepth=1;k.AlwaysStencilFunc=519;k.AmbientLight=mf;k.AmbientLightProbe=Fg;k.AnimationClip=Qa;k.AnimationLoader=wg;k.AnimationMixer=Mg;k.AnimationObjectGroup=oi;k.AnimationUtils=R;k.ArcCurve=gd;k.ArrayCamera=Pe;k.ArrowHelper=xb;k.Audio=id;k.AudioAnalyser=Kg;k.AudioContext=\n",
       "Ig;k.AudioListener=Hg;k.AudioLoader=tf;k.AxesHelper=ve;k.AxisHelper=function(a){console.warn(&quot;THREE.AxisHelper has been renamed to THREE.AxesHelper.&quot;);return new ve(a)};k.BackSide=1;k.BasicDepthPacking=3200;k.BasicShadowMap=0;k.BinaryTextureLoader=function(a){console.warn(&quot;THREE.BinaryTextureLoader has been renamed to THREE.DataTextureLoader.&quot;);return new cf(a)};k.Bone=pg;k.BooleanKeyframeTrack=Ze;k.BoundingBoxHelper=function(a,b){console.warn(&quot;THREE.BoundingBoxHelper has been deprecated. Creating a THREE.BoxHelper instead.&quot;);\n",
       "return new wb(a,b)};k.Box2=Qg;k.Box3=Sa;k.Box3Helper=te;k.BoxBufferGeometry=Jd;k.BoxGeometry=nh;k.BoxHelper=wb;k.BufferAttribute=M;k.BufferGeometry=C;k.BufferGeometryLoader=rf;k.ByteType=1010;k.Cache=vc;k.Camera=db;k.CameraHelper=se;k.CanvasRenderer=function(){console.error(&quot;THREE.CanvasRenderer has been removed&quot;)};k.CanvasTexture=Sd;k.CatmullRomCurve3=pa;k.CineonToneMapping=4;k.CircleBufferGeometry=cd;k.CircleGeometry=me;k.ClampToEdgeWrapping=1001;k.Clock=Gg;k.ClosedSplineCurve3=Fi;k.Color=A;k.ColorKeyframeTrack=\n",
       "$e;k.CompressedTexture=Qc;k.CompressedTextureLoader=xg;k.ConeBufferGeometry=le;k.ConeGeometry=ke;k.CubeCamera=Gc;k.CubeGeometry=nh;k.CubeReflectionMapping=301;k.CubeRefractionMapping=302;k.CubeTexture=qb;k.CubeTextureLoader=df;k.CubeUVReflectionMapping=306;k.CubeUVRefractionMapping=307;k.CubicBezierCurve=Wa;k.CubicBezierCurve3=hb;k.CubicInterpolant=Xe;k.CullFaceBack=1;k.CullFaceFront=2;k.CullFaceFrontBack=3;k.CullFaceNone=0;k.Curve=G;k.CurvePath=vb;k.CustomBlending=5;k.CylinderBufferGeometry=tb;k.CylinderGeometry=\n",
       "jc;k.Cylindrical=si;k.DataTexture=ac;k.DataTexture2DArray=Ic;k.DataTexture3D=Jc;k.DataTextureLoader=cf;k.DecrementStencilOp=7683;k.DecrementWrapStencilOp=34056;k.DefaultLoadingManager=ki;k.DepthFormat=1026;k.DepthStencilFormat=1027;k.DepthTexture=Td;k.DirectionalLight=lf;k.DirectionalLightHelper=md;k.DirectionalLightShadow=kf;k.DiscreteInterpolant=Ye;k.DodecahedronBufferGeometry=Vc;k.DodecahedronGeometry=Zd;k.DoubleSide=2;k.DstAlphaFactor=206;k.DstColorFactor=208;k.DynamicBufferAttribute=function(a,\n",
       "b){console.warn(&quot;THREE.DynamicBufferAttribute has been removed. Use new THREE.BufferAttribute().setUsage( THREE.DynamicDrawUsage ) instead.&quot;);return(new M(a,b)).setUsage(35048)};k.DynamicCopyUsage=35050;k.DynamicDrawUsage=35048;k.DynamicReadUsage=35049;k.EdgesGeometry=bd;k.EdgesHelper=function(a,b){console.warn(&quot;THREE.EdgesHelper has been removed. Use THREE.EdgesGeometry instead.&quot;);return new ma(new bd(a.geometry),new la({color:void 0!==b?b:16777215}))};k.EllipseCurve=Ma;k.EqualDepth=4;k.EqualStencilFunc=\n",
       "514;k.EquirectangularReflectionMapping=303;k.EquirectangularRefractionMapping=304;k.Euler=Tb;k.EventDispatcher=Ea;k.ExtrudeBufferGeometry=fb;k.ExtrudeGeometry=fc;k.Face3=Bc;k.Face4=function(a,b,c,d,e,f,g){console.warn(&quot;THREE.Face4 has been removed. A THREE.Face3 will be created instead.&quot;);return new Bc(a,b,c,e,f,g)};k.FaceColors=1;k.FileLoader=Ra;k.FlatShading=1;k.Float32Attribute=function(a,b){console.warn(&quot;THREE.Float32Attribute has been removed. Use new THREE.Float32BufferAttribute() instead.&quot;);\n",
       "return new y(a,b)};k.Float32BufferAttribute=y;k.Float64Attribute=function(a,b){console.warn(&quot;THREE.Float64Attribute has been removed. Use new THREE.Float64BufferAttribute() instead.&quot;);return new Gd(a,b)};k.Float64BufferAttribute=Gd;k.FloatType=1015;k.Fog=Re;k.FogExp2=Qe;k.Font=Cg;k.FontLoader=Dg;k.FrontFaceDirectionCCW=1;k.FrontFaceDirectionCW=0;k.FrontSide=0;k.Frustum=Hc;k.GammaEncoding=3007;k.Geometry=N;k.GeometryUtils={merge:function(a,b,c){console.warn(&quot;THREE.GeometryUtils: .merge() has been moved to Geometry. Use geometry.merge( geometry2, matrix, materialIndexOffset ) instead.&quot;);\n",
       "if(b.isMesh){b.matrixAutoUpdate&&b.updateMatrix();var d=b.matrix;b=b.geometry}a.merge(b,d,c)},center:function(a){console.warn(&quot;THREE.GeometryUtils: .center() has been moved to Geometry. Use geometry.center() instead.&quot;);return a.center()}};k.GreaterDepth=6;k.GreaterEqualDepth=5;k.GreaterEqualStencilFunc=518;k.GreaterStencilFunc=516;k.GridHelper=wf;k.Group=Mc;k.HalfFloatType=1016;k.HemisphereLight=ff;k.HemisphereLightHelper=ld;k.HemisphereLightProbe=Eg;k.IcosahedronBufferGeometry=Uc;k.IcosahedronGeometry=\n",
       "Yd;k.ImageBitmapLoader=Ag;k.ImageLoader=fd;k.ImageUtils=Lb;k.ImmediateRenderObject=re;k.IncrementStencilOp=7682;k.IncrementWrapStencilOp=34055;k.InstancedBufferAttribute=qf;k.InstancedBufferGeometry=pf;k.InstancedInterleavedBuffer=Ng;k.InstancedMesh=Ve;k.Int16Attribute=function(a,b){console.warn(&quot;THREE.Int16Attribute has been removed. Use new THREE.Int16BufferAttribute() instead.&quot;);return new Ed(a,b)};k.Int16BufferAttribute=Ed;k.Int32Attribute=function(a,b){console.warn(&quot;THREE.Int32Attribute has been removed. Use new THREE.Int32BufferAttribute() instead.&quot;);\n",
       "return new Fd(a,b)};k.Int32BufferAttribute=Fd;k.Int8Attribute=function(a,b){console.warn(&quot;THREE.Int8Attribute has been removed. Use new THREE.Int8BufferAttribute() instead.&quot;);return new Bd(a,b)};k.Int8BufferAttribute=Bd;k.IntType=1013;k.InterleavedBuffer=rb;k.InterleavedBufferAttribute=Od;k.Interpolant=La;k.InterpolateDiscrete=2300;k.InterpolateLinear=2301;k.InterpolateSmooth=2302;k.InvertStencilOp=5386;k.JSONLoader=function(){console.error(&quot;THREE.JSONLoader has been removed.&quot;)};k.KeepStencilOp=7680;\n",
       "k.KeyframeTrack=sa;k.LOD=Rd;k.LatheBufferGeometry=ad;k.LatheGeometry=je;k.Layers=He;k.LensFlare=function(){console.error(&quot;THREE.LensFlare has been moved to /examples/jsm/objects/Lensflare.js&quot;)};k.LessDepth=2;k.LessEqualDepth=3;k.LessEqualStencilFunc=515;k.LessStencilFunc=513;k.Light=da;k.LightProbe=ab;k.LightShadow=jb;k.Line=Ka;k.Line3=Rg;k.LineBasicMaterial=la;k.LineCurve=Da;k.LineCurve3=Xa;k.LineDashedMaterial=qc;k.LineLoop=We;k.LinePieces=1;k.LineSegments=ma;k.LineStrip=0;k.LinearEncoding=3E3;\n",
       "k.LinearFilter=1006;k.LinearInterpolant=ne;k.LinearMipMapLinearFilter=1008;k.LinearMipMapNearestFilter=1007;k.LinearMipmapLinearFilter=1008;k.LinearMipmapNearestFilter=1007;k.LinearToneMapping=1;k.Loader=W;k.LoaderUtils=th;k.LoadingManager=vg;k.LogLuvEncoding=3003;k.LoopOnce=2200;k.LoopPingPong=2202;k.LoopRepeat=2201;k.LuminanceAlphaFormat=1025;k.LuminanceFormat=1024;k.MOUSE={LEFT:0,MIDDLE:1,RIGHT:2,ROTATE:0,DOLLY:1,PAN:2};k.Material=K;k.MaterialLoader=of;k.Math=L;k.MathUtils=L;k.Matrix3=wa;k.Matrix4=\n",
       "P;k.MaxEquation=104;k.Mesh=S;k.MeshBasicMaterial=Oa;k.MeshDepthMaterial=Fb;k.MeshDistanceMaterial=Gb;k.MeshFaceMaterial=function(a){console.warn(&quot;THREE.MeshFaceMaterial has been removed. Use an Array instead.&quot;);return a};k.MeshLambertMaterial=oc;k.MeshMatcapMaterial=pc;k.MeshNormalMaterial=nc;k.MeshPhongMaterial=Jb;k.MeshPhysicalMaterial=lc;k.MeshStandardMaterial=gb;k.MeshToonMaterial=mc;k.MinEquation=103;k.MirroredRepeatWrapping=1002;k.MixOperation=1;k.MultiMaterial=function(a){void 0===a&&(a=[]);\n",
       "console.warn(&quot;THREE.MultiMaterial has been removed. Use an Array instead.&quot;);a.isMultiMaterial=!0;a.materials=a;a.clone=function(){return a.slice()};return a};k.MultiplyBlending=4;k.MultiplyOperation=0;k.NearestFilter=1003;k.NearestMipMapLinearFilter=1005;k.NearestMipMapNearestFilter=1004;k.NearestMipmapLinearFilter=1005;k.NearestMipmapNearestFilter=1004;k.NeverDepth=0;k.NeverStencilFunc=512;k.NoBlending=0;k.NoColors=0;k.NoToneMapping=0;k.NormalBlending=1;k.NotEqualDepth=7;k.NotEqualStencilFunc=517;\n",
       "k.NumberKeyframeTrack=dd;k.Object3D=F;k.ObjectLoader=sf;k.ObjectSpaceNormalMap=1;k.OctahedronBufferGeometry=cc;k.OctahedronGeometry=Xd;k.OneFactor=201;k.OneMinusDstAlphaFactor=207;k.OneMinusDstColorFactor=209;k.OneMinusSrcAlphaFactor=205;k.OneMinusSrcColorFactor=203;k.OrthographicCamera=hd;k.PCFShadowMap=1;k.PCFSoftShadowMap=2;k.PMREMGenerator=Tg;k.ParametricBufferGeometry=Sc;k.ParametricGeometry=Ud;k.Particle=function(a){console.warn(&quot;THREE.Particle has been renamed to THREE.Sprite.&quot;);return new Pd(a)};\n",
       "k.ParticleBasicMaterial=function(a){console.warn(&quot;THREE.ParticleBasicMaterial has been renamed to THREE.PointsMaterial.&quot;);return new Va(a)};k.ParticleSystem=function(a,b){console.warn(&quot;THREE.ParticleSystem has been renamed to THREE.Points.&quot;);return new Pc(a,b)};k.ParticleSystemMaterial=function(a){console.warn(&quot;THREE.ParticleSystemMaterial has been renamed to THREE.PointsMaterial.&quot;);return new Va(a)};k.Path=$a;k.PerspectiveCamera=aa;k.Plane=Ta;k.PlaneBufferGeometry=bc;k.PlaneGeometry=Id;k.PlaneHelper=\n",
       "ue;k.PointCloud=function(a,b){console.warn(&quot;THREE.PointCloud has been renamed to THREE.Points.&quot;);return new Pc(a,b)};k.PointCloudMaterial=function(a){console.warn(&quot;THREE.PointCloudMaterial has been renamed to THREE.PointsMaterial.&quot;);return new Va(a)};k.PointLight=jf;k.PointLightHelper=kd;k.Points=Pc;k.PointsMaterial=Va;k.PolarGridHelper=xf;k.PolyhedronBufferGeometry=Ga;k.PolyhedronGeometry=Vd;k.PositionalAudio=Jg;k.PropertyBinding=ya;k.PropertyMixer=Lg;k.QuadraticBezierCurve=Ya;k.QuadraticBezierCurve3=\n",
       "ib;k.Quaternion=Aa;k.QuaternionKeyframeTrack=oe;k.QuaternionLinearInterpolant=af;k.REVISION=&quot;115&quot;;k.RGBADepthPacking=3201;k.RGBAFormat=1023;k.RGBAIntegerFormat=1033;k.RGBA_ASTC_10x10_Format=37819;k.RGBA_ASTC_10x5_Format=37816;k.RGBA_ASTC_10x6_Format=37817;k.RGBA_ASTC_10x8_Format=37818;k.RGBA_ASTC_12x10_Format=37820;k.RGBA_ASTC_12x12_Format=37821;k.RGBA_ASTC_4x4_Format=37808;k.RGBA_ASTC_5x4_Format=37809;k.RGBA_ASTC_5x5_Format=37810;k.RGBA_ASTC_6x5_Format=37811;k.RGBA_ASTC_6x6_Format=37812;k.RGBA_ASTC_8x5_Format=\n",
       "37813;k.RGBA_ASTC_8x6_Format=37814;k.RGBA_ASTC_8x8_Format=37815;k.RGBA_BPTC_Format=36492;k.RGBA_ETC2_EAC_Format=37496;k.RGBA_PVRTC_2BPPV1_Format=35843;k.RGBA_PVRTC_4BPPV1_Format=35842;k.RGBA_S3TC_DXT1_Format=33777;k.RGBA_S3TC_DXT3_Format=33778;k.RGBA_S3TC_DXT5_Format=33779;k.RGBDEncoding=3006;k.RGBEEncoding=3002;k.RGBEFormat=1023;k.RGBFormat=1022;k.RGBIntegerFormat=1032;k.RGBM16Encoding=3005;k.RGBM7Encoding=3004;k.RGB_ETC1_Format=36196;k.RGB_ETC2_Format=37492;k.RGB_PVRTC_2BPPV1_Format=35841;k.RGB_PVRTC_4BPPV1_Format=\n",
       "35840;k.RGB_S3TC_DXT1_Format=33776;k.RGFormat=1030;k.RGIntegerFormat=1031;k.RawShaderMaterial=ub;k.Ray=Vb;k.Raycaster=Og;k.RectAreaLight=nf;k.RedFormat=1028;k.RedIntegerFormat=1029;k.ReinhardToneMapping=2;k.RepeatWrapping=1E3;k.ReplaceStencilOp=7681;k.ReverseSubtractEquation=102;k.RingBufferGeometry=$c;k.RingGeometry=ie;k.SRGB8_ALPHA8_ASTC_10x10_Format=37851;k.SRGB8_ALPHA8_ASTC_10x5_Format=37848;k.SRGB8_ALPHA8_ASTC_10x6_Format=37849;k.SRGB8_ALPHA8_ASTC_10x8_Format=37850;k.SRGB8_ALPHA8_ASTC_12x10_Format=\n",
       "37852;k.SRGB8_ALPHA8_ASTC_12x12_Format=37853;k.SRGB8_ALPHA8_ASTC_4x4_Format=37840;k.SRGB8_ALPHA8_ASTC_5x4_Format=37841;k.SRGB8_ALPHA8_ASTC_5x5_Format=37842;k.SRGB8_ALPHA8_ASTC_6x5_Format=37843;k.SRGB8_ALPHA8_ASTC_6x6_Format=37844;k.SRGB8_ALPHA8_ASTC_8x5_Format=37845;k.SRGB8_ALPHA8_ASTC_8x6_Format=37846;k.SRGB8_ALPHA8_ASTC_8x8_Format=37847;k.Scene=ob;k.SceneUtils={createMultiMaterialObject:function(){console.error(&quot;THREE.SceneUtils has been moved to /examples/jsm/utils/SceneUtils.js&quot;)},detach:function(){console.error(&quot;THREE.SceneUtils has been moved to /examples/jsm/utils/SceneUtils.js&quot;)},\n",
       "attach:function(){console.error(&quot;THREE.SceneUtils has been moved to /examples/jsm/utils/SceneUtils.js&quot;)}};k.ShaderChunk=O;k.ShaderLib=eb;k.ShaderMaterial=Ba;k.ShadowMaterial=kc;k.Shape=Kb;k.ShapeBufferGeometry=ic;k.ShapeGeometry=hc;k.ShapePath=Bg;k.ShapeUtils=sb;k.ShortType=1011;k.Skeleton=Ue;k.SkeletonHelper=rc;k.SkinnedMesh=Te;k.SmoothShading=2;k.Sphere=pb;k.SphereBufferGeometry=gc;k.SphereGeometry=he;k.Spherical=ri;k.SphericalHarmonics3=uf;k.SphericalReflectionMapping=305;k.Spline=$g;k.SplineCurve=\n",
       "Za;k.SplineCurve3=Gi;k.SpotLight=hf;k.SpotLightHelper=jd;k.SpotLightShadow=gf;k.Sprite=Pd;k.SpriteMaterial=Ib;k.SrcAlphaFactor=204;k.SrcAlphaSaturateFactor=210;k.SrcColorFactor=202;k.StaticCopyUsage=35046;k.StaticDrawUsage=35044;k.StaticReadUsage=35045;k.StereoCamera=mi;k.StreamCopyUsage=35042;k.StreamDrawUsage=35040;k.StreamReadUsage=35041;k.StringKeyframeTrack=bf;k.SubtractEquation=101;k.SubtractiveBlending=3;k.TOUCH={ROTATE:0,PAN:1,DOLLY_PAN:2,DOLLY_ROTATE:3};k.TangentSpaceNormalMap=0;k.TetrahedronBufferGeometry=\n",
       "Tc;k.TetrahedronGeometry=Wd;k.TextBufferGeometry=Zc;k.TextGeometry=ge;k.Texture=V;k.TextureLoader=ef;k.TorusBufferGeometry=Xc;k.TorusGeometry=be;k.TorusKnotBufferGeometry=Wc;k.TorusKnotGeometry=ae;k.Triangle=oa;k.TriangleFanDrawMode=2;k.TriangleStripDrawMode=1;k.TrianglesDrawMode=0;k.TubeBufferGeometry=dc;k.TubeGeometry=$d;k.UVMapping=300;k.Uint16Attribute=function(a,b){console.warn(&quot;THREE.Uint16Attribute has been removed. Use new THREE.Uint16BufferAttribute() instead.&quot;);return new Wb(a,b)};k.Uint16BufferAttribute=\n",
       "Wb;k.Uint32Attribute=function(a,b){console.warn(&quot;THREE.Uint32Attribute has been removed. Use new THREE.Uint32BufferAttribute() instead.&quot;);return new Xb(a,b)};k.Uint32BufferAttribute=Xb;k.Uint8Attribute=function(a,b){console.warn(&quot;THREE.Uint8Attribute has been removed. Use new THREE.Uint8BufferAttribute() instead.&quot;);return new Cd(a,b)};k.Uint8BufferAttribute=Cd;k.Uint8ClampedAttribute=function(a,b){console.warn(&quot;THREE.Uint8ClampedAttribute has been removed. Use new THREE.Uint8ClampedBufferAttribute() instead.&quot;);\n",
       "return new Dd(a,b)};k.Uint8ClampedBufferAttribute=Dd;k.Uncharted2ToneMapping=3;k.Uniform=vf;k.UniformsLib=D;k.UniformsUtils=Uh;k.UnsignedByteType=1009;k.UnsignedInt248Type=1020;k.UnsignedIntType=1014;k.UnsignedShort4444Type=1017;k.UnsignedShort5551Type=1018;k.UnsignedShort565Type=1019;k.UnsignedShortType=1012;k.VSMShadowMap=3;k.Vector2=t;k.Vector3=n;k.Vector4=ka;k.VectorKeyframeTrack=ed;k.Vertex=function(a,b,c){console.warn(&quot;THREE.Vertex has been removed. Use THREE.Vector3 instead.&quot;);return new n(a,\n",
       "b,c)};k.VertexColors=2;k.VideoTexture=sg;k.WebGLCubeRenderTarget=Db;k.WebGLMultisampleRenderTarget=Zf;k.WebGLRenderTarget=Ha;k.WebGLRenderTargetCube=function(a,b,c){console.warn(&quot;THREE.WebGLRenderTargetCube( width, height, options ) is now WebGLCubeRenderTarget( size, options ).&quot;);return new Db(a,c)};k.WebGLRenderer=og;k.WebGLUtils=Zh;k.WireframeGeometry=Rc;k.WireframeHelper=function(a,b){console.warn(&quot;THREE.WireframeHelper has been removed. Use THREE.WireframeGeometry instead.&quot;);return new ma(new Rc(a.geometry),\n",
       "new la({color:void 0!==b?b:16777215}))};k.WrapAroundEnding=2402;k.XHRLoader=function(a){console.warn(&quot;THREE.XHRLoader has been renamed to THREE.FileLoader.&quot;);return new Ra(a)};k.ZeroCurvatureEnding=2400;k.ZeroFactor=200;k.ZeroSlopeEnding=2401;k.ZeroStencilOp=0;k.sRGBEncoding=3001;Object.defineProperty(k,&quot;__esModule&quot;,{value:!0})});\n",
       "THREE.TrackballControls=function(object,domElement){if(domElement===undefined)console.warn('THREE.TrackballControls: The second parameter &quot;domElement&quot; is now mandatory.');if(domElement===document)console.error('THREE.TrackballControls: &quot;document&quot; should not be used as the target &quot;domElement&quot;. Please use &quot;renderer.domElement&quot; instead.');var _this=this;var STATE={NONE:-1,ROTATE:0,ZOOM:1,PAN:2,TOUCH_ROTATE:3,TOUCH_ZOOM_PAN:4};this.object=object;this.domElement=domElement;this.enabled=true;this.screen={left:0,top:0,width:0,height:0};this.rotateSpeed=1.0;this.zoomSpeed=1.2;this.panSpeed=0.3;this.noRotate=false;this.noZoom=false;this.noPan=false;this.staticMoving=false;this.dynamicDampingFactor=0.2;this.minDistance=0;this.maxDistance=Infinity;this.keys=[65 ,83 ,68 ];this.mouseButtons={LEFT:THREE.MOUSE.ROTATE,MIDDLE:THREE.MOUSE.ZOOM,RIGHT:THREE.MOUSE.PAN};this.target=new THREE.Vector3();var EPS=0.000001;var lastPosition=new THREE.Vector3();var lastZoom=1;var _state=STATE.NONE,_keyState=STATE.NONE,_eye=new THREE.Vector3(),_movePrev=new THREE.Vector2(),_moveCurr=new THREE.Vector2(),_lastAxis=new THREE.Vector3(),_lastAngle=0,_zoomStart=new THREE.Vector2(),_zoomEnd=new THREE.Vector2(),_touchZoomDistanceStart=0,_touchZoomDistanceEnd=0,_panStart=new THREE.Vector2(),_panEnd=new THREE.Vector2();this.target0=this.target.clone();this.position0=this.object.position.clone();this.up0=this.object.up.clone();this.zoom0=this.object.zoom;var changeEvent={type:'change'};var startEvent={type:'start'};var endEvent={type:'end'};this.handleResize=function(){var box=this.domElement.getBoundingClientRect();var d=this.domElement.ownerDocument.documentElement;this.screen.left=box.left+window.pageXOffset-d.clientLeft;this.screen.top=box.top+window.pageYOffset-d.clientTop;this.screen.width=box.width;this.screen.height=box.height;};var getMouseOnScreen=(function(){var vector=new THREE.Vector2();return function getMouseOnScreen(pageX,pageY){vector.set((pageX-_this.screen.left)/_this.screen.width,(pageY-_this.screen.top)/_this.screen.height);return vector;};}());var getMouseOnCircle=(function(){var vector=new THREE.Vector2();return function getMouseOnCircle(pageX,pageY){vector.set(((pageX-_this.screen.width*0.5-_this.screen.left)/(_this.screen.width*0.5)),((_this.screen.height+2*(_this.screen.top-pageY))/_this.screen.width));return vector;};}());this.rotateCamera=(function(){var axis=new THREE.Vector3(),quaternion=new THREE.Quaternion(),eyeDirection=new THREE.Vector3(),objectUpDirection=new THREE.Vector3(),objectSidewaysDirection=new THREE.Vector3(),moveDirection=new THREE.Vector3(),angle;return function rotateCamera(){moveDirection.set(_moveCurr.x-_movePrev.x,_moveCurr.y-_movePrev.y,0);angle=moveDirection.length();if(angle){_eye.copy(_this.object.position).sub(_this.target);eyeDirection.copy(_eye).normalize();objectUpDirection.copy(_this.object.up).normalize();objectSidewaysDirection.crossVectors(objectUpDirection,eyeDirection).normalize();objectUpDirection.setLength(_moveCurr.y-_movePrev.y);objectSidewaysDirection.setLength(_moveCurr.x-_movePrev.x);moveDirection.copy(objectUpDirection.add(objectSidewaysDirection));axis.crossVectors(moveDirection,_eye).normalize();angle*=_this.rotateSpeed;quaternion.setFromAxisAngle(axis,angle);_eye.applyQuaternion(quaternion);_this.object.up.applyQuaternion(quaternion);_lastAxis.copy(axis);_lastAngle=angle;}else if(!_this.staticMoving&&_lastAngle){_lastAngle*=Math.sqrt(1.0-_this.dynamicDampingFactor);_eye.copy(_this.object.position).sub(_this.target);quaternion.setFromAxisAngle(_lastAxis,_lastAngle);_eye.applyQuaternion(quaternion);_this.object.up.applyQuaternion(quaternion);}\n",
       "_movePrev.copy(_moveCurr);};}());this.zoomCamera=function(){var factor;if(_state===STATE.TOUCH_ZOOM_PAN){factor=_touchZoomDistanceStart/_touchZoomDistanceEnd;_touchZoomDistanceStart=_touchZoomDistanceEnd;if(_this.object.isPerspectiveCamera){_eye.multiplyScalar(factor);}else if(_this.object.isOrthographicCamera){_this.object.zoom*=factor;_this.object.updateProjectionMatrix();}else{console.warn('THREE.TrackballControls: Unsupported camera type');}}else{factor=1.0+(_zoomEnd.y-_zoomStart.y)*_this.zoomSpeed;if(factor!==1.0&&factor>0.0){if(_this.object.isPerspectiveCamera){_eye.multiplyScalar(factor);}else if(_this.object.isOrthographicCamera){_this.object.zoom/=factor;_this.object.updateProjectionMatrix();}else{console.warn('THREE.TrackballControls: Unsupported camera type');}}\n",
       "if(_this.staticMoving){_zoomStart.copy(_zoomEnd);}else{_zoomStart.y+=(_zoomEnd.y-_zoomStart.y)*this.dynamicDampingFactor;}}};this.panCamera=(function(){var mouseChange=new THREE.Vector2(),objectUp=new THREE.Vector3(),pan=new THREE.Vector3();return function panCamera(){mouseChange.copy(_panEnd).sub(_panStart);if(mouseChange.lengthSq()){if(_this.object.isOrthographicCamera){var scale_x=(_this.object.right-_this.object.left)/_this.object.zoom/_this.domElement.clientWidth;var scale_y=(_this.object.top-_this.object.bottom)/_this.object.zoom/_this.domElement.clientWidth;mouseChange.x*=scale_x;mouseChange.y*=scale_y;}\n",
       "mouseChange.multiplyScalar(_eye.length()*_this.panSpeed);pan.copy(_eye).cross(_this.object.up).setLength(mouseChange.x);pan.add(objectUp.copy(_this.object.up).setLength(mouseChange.y));_this.object.position.add(pan);_this.target.add(pan);if(_this.staticMoving){_panStart.copy(_panEnd);}else{_panStart.add(mouseChange.subVectors(_panEnd,_panStart).multiplyScalar(_this.dynamicDampingFactor));}}};}());this.checkDistances=function(){if(!_this.noZoom||!_this.noPan){if(_eye.lengthSq()>_this.maxDistance*_this.maxDistance){_this.object.position.addVectors(_this.target,_eye.setLength(_this.maxDistance));_zoomStart.copy(_zoomEnd);}\n",
       "if(_eye.lengthSq()<_this.minDistance*_this.minDistance){_this.object.position.addVectors(_this.target,_eye.setLength(_this.minDistance));_zoomStart.copy(_zoomEnd);}}};this.update=function(){_eye.subVectors(_this.object.position,_this.target);if(!_this.noRotate){_this.rotateCamera();}\n",
       "if(!_this.noZoom){_this.zoomCamera();}\n",
       "if(!_this.noPan){_this.panCamera();}\n",
       "_this.object.position.addVectors(_this.target,_eye);if(_this.object.isPerspectiveCamera){_this.checkDistances();_this.object.lookAt(_this.target);if(lastPosition.distanceToSquared(_this.object.position)>EPS){_this.dispatchEvent(changeEvent);lastPosition.copy(_this.object.position);}}else if(_this.object.isOrthographicCamera){_this.object.lookAt(_this.target);if(lastPosition.distanceToSquared(_this.object.position)>EPS||lastZoom!==_this.object.zoom){_this.dispatchEvent(changeEvent);lastPosition.copy(_this.object.position);lastZoom=_this.object.zoom;}}else{console.warn('THREE.TrackballControls: Unsupported camera type');}};this.reset=function(){_state=STATE.NONE;_keyState=STATE.NONE;_this.target.copy(_this.target0);_this.object.position.copy(_this.position0);_this.object.up.copy(_this.up0);_this.object.zoom=_this.zoom0;_this.object.updateProjectionMatrix();_eye.subVectors(_this.object.position,_this.target);_this.object.lookAt(_this.target);_this.dispatchEvent(changeEvent);lastPosition.copy(_this.object.position);lastZoom=_this.object.zoom;};function keydown(event){if(_this.enabled===false)return;window.removeEventListener('keydown',keydown);if(_keyState!==STATE.NONE){return;}else if(event.keyCode===_this.keys[STATE.ROTATE]&&!_this.noRotate){_keyState=STATE.ROTATE;}else if(event.keyCode===_this.keys[STATE.ZOOM]&&!_this.noZoom){_keyState=STATE.ZOOM;}else if(event.keyCode===_this.keys[STATE.PAN]&&!_this.noPan){_keyState=STATE.PAN;}}\n",
       "function keyup(){if(_this.enabled===false)return;_keyState=STATE.NONE;window.addEventListener('keydown',keydown,false);}\n",
       "function mousedown(event){if(_this.enabled===false)return;event.preventDefault();event.stopPropagation();if(_state===STATE.NONE){switch(event.button){case _this.mouseButtons.LEFT:_state=STATE.ROTATE;break;case _this.mouseButtons.MIDDLE:_state=STATE.ZOOM;break;case _this.mouseButtons.RIGHT:_state=STATE.PAN;break;default:_state=STATE.NONE;}}\n",
       "var state=(_keyState!==STATE.NONE)?_keyState:_state;if(state===STATE.ROTATE&&!_this.noRotate){_moveCurr.copy(getMouseOnCircle(event.pageX,event.pageY));_movePrev.copy(_moveCurr);}else if(state===STATE.ZOOM&&!_this.noZoom){_zoomStart.copy(getMouseOnScreen(event.pageX,event.pageY));_zoomEnd.copy(_zoomStart);}else if(state===STATE.PAN&&!_this.noPan){_panStart.copy(getMouseOnScreen(event.pageX,event.pageY));_panEnd.copy(_panStart);}\n",
       "document.addEventListener('mousemove',mousemove,false);document.addEventListener('mouseup',mouseup,false);_this.dispatchEvent(startEvent);}\n",
       "function mousemove(event){if(_this.enabled===false)return;event.preventDefault();event.stopPropagation();var state=(_keyState!==STATE.NONE)?_keyState:_state;if(state===STATE.ROTATE&&!_this.noRotate){_movePrev.copy(_moveCurr);_moveCurr.copy(getMouseOnCircle(event.pageX,event.pageY));}else if(state===STATE.ZOOM&&!_this.noZoom){_zoomEnd.copy(getMouseOnScreen(event.pageX,event.pageY));}else if(state===STATE.PAN&&!_this.noPan){_panEnd.copy(getMouseOnScreen(event.pageX,event.pageY));}}\n",
       "function mouseup(event){if(_this.enabled===false)return;event.preventDefault();event.stopPropagation();_state=STATE.NONE;document.removeEventListener('mousemove',mousemove);document.removeEventListener('mouseup',mouseup);_this.dispatchEvent(endEvent);}\n",
       "function mousewheel(event){if(_this.enabled===false)return;if(_this.noZoom===true)return;event.preventDefault();event.stopPropagation();switch(event.deltaMode){case 2:_zoomStart.y-=event.deltaY*0.025;break;case 1:_zoomStart.y-=event.deltaY*0.01;break;default:_zoomStart.y-=event.deltaY*0.00025;break;}\n",
       "_this.dispatchEvent(startEvent);_this.dispatchEvent(endEvent);}\n",
       "function touchstart(event){if(_this.enabled===false)return;event.preventDefault();switch(event.touches.length){case 1:_state=STATE.TOUCH_ROTATE;_moveCurr.copy(getMouseOnCircle(event.touches[0].pageX,event.touches[0].pageY));_movePrev.copy(_moveCurr);break;default:_state=STATE.TOUCH_ZOOM_PAN;var dx=event.touches[0].pageX-event.touches[1].pageX;var dy=event.touches[0].pageY-event.touches[1].pageY;_touchZoomDistanceEnd=_touchZoomDistanceStart=Math.sqrt(dx*dx+dy*dy);var x=(event.touches[0].pageX+event.touches[1].pageX)/2;var y=(event.touches[0].pageY+event.touches[1].pageY)/2;_panStart.copy(getMouseOnScreen(x,y));_panEnd.copy(_panStart);break;}\n",
       "_this.dispatchEvent(startEvent);}\n",
       "function touchmove(event){if(_this.enabled===false)return;event.preventDefault();event.stopPropagation();switch(event.touches.length){case 1:_movePrev.copy(_moveCurr);_moveCurr.copy(getMouseOnCircle(event.touches[0].pageX,event.touches[0].pageY));break;default:var dx=event.touches[0].pageX-event.touches[1].pageX;var dy=event.touches[0].pageY-event.touches[1].pageY;_touchZoomDistanceEnd=Math.sqrt(dx*dx+dy*dy);var x=(event.touches[0].pageX+event.touches[1].pageX)/2;var y=(event.touches[0].pageY+event.touches[1].pageY)/2;_panEnd.copy(getMouseOnScreen(x,y));break;}}\n",
       "function touchend(event){if(_this.enabled===false)return;switch(event.touches.length){case 0:_state=STATE.NONE;break;case 1:_state=STATE.TOUCH_ROTATE;_moveCurr.copy(getMouseOnCircle(event.touches[0].pageX,event.touches[0].pageY));_movePrev.copy(_moveCurr);break;}\n",
       "_this.dispatchEvent(endEvent);}\n",
       "function contextmenu(event){if(_this.enabled===false)return;event.preventDefault();}\n",
       "this.dispose=function(){this.domElement.removeEventListener('contextmenu',contextmenu,false);this.domElement.removeEventListener('mousedown',mousedown,false);this.domElement.removeEventListener('wheel',mousewheel,false);this.domElement.removeEventListener('touchstart',touchstart,false);this.domElement.removeEventListener('touchend',touchend,false);this.domElement.removeEventListener('touchmove',touchmove,false);document.removeEventListener('mousemove',mousemove,false);document.removeEventListener('mouseup',mouseup,false);window.removeEventListener('keydown',keydown,false);window.removeEventListener('keyup',keyup,false);};this.domElement.addEventListener('contextmenu',contextmenu,false);this.domElement.addEventListener('mousedown',mousedown,false);this.domElement.addEventListener('wheel',mousewheel,false);this.domElement.addEventListener('touchstart',touchstart,false);this.domElement.addEventListener('touchend',touchend,false);this.domElement.addEventListener('touchmove',touchmove,false);window.addEventListener('keydown',keydown,false);window.addEventListener('keyup',keyup,false);this.handleResize();this.update();};THREE.TrackballControls.prototype=Object.create(THREE.EventDispatcher.prototype);THREE.TrackballControls.prototype.constructor=THREE.TrackballControls;THREE.GLTFLoader=(function(){function GLTFLoader(manager){THREE.Loader.call(this,manager);this.dracoLoader=null;this.ddsLoader=null;}\n",
       "GLTFLoader.prototype=Object.assign(Object.create(THREE.Loader.prototype),{constructor:GLTFLoader,load:function(url,onLoad,onProgress,onError){var scope=this;var resourcePath;if(this.resourcePath!==''){resourcePath=this.resourcePath;}else if(this.path!==''){resourcePath=this.path;}else{resourcePath=THREE.LoaderUtils.extractUrlBase(url);}\n",
       "scope.manager.itemStart(url);var _onError=function(e){if(onError){onError(e);}else{console.error(e);}\n",
       "scope.manager.itemError(url);scope.manager.itemEnd(url);};var loader=new THREE.FileLoader(scope.manager);loader.setPath(this.path);loader.setResponseType('arraybuffer');if(scope.crossOrigin==='use-credentials'){loader.setWithCredentials(true);}\n",
       "loader.load(url,function(data){try{scope.parse(data,resourcePath,function(gltf){onLoad(gltf);scope.manager.itemEnd(url);},_onError);}catch(e){_onError(e);}},onProgress,_onError);},setDRACOLoader:function(dracoLoader){this.dracoLoader=dracoLoader;return this;},setDDSLoader:function(ddsLoader){this.ddsLoader=ddsLoader;return this;},parse:function(data,path,onLoad,onError){var content;var extensions={};if(typeof data==='string'){content=data;}else{var magic=THREE.LoaderUtils.decodeText(new Uint8Array(data,0,4));if(magic===BINARY_EXTENSION_HEADER_MAGIC){try{extensions[EXTENSIONS.KHR_BINARY_GLTF]=new GLTFBinaryExtension(data);}catch(error){if(onError)onError(error);return;}\n",
       "content=extensions[EXTENSIONS.KHR_BINARY_GLTF].content;}else{content=THREE.LoaderUtils.decodeText(new Uint8Array(data));}}\n",
       "var json=JSON.parse(content);if(json.asset===undefined||json.asset.version[0]<2){if(onError)onError(new Error('THREE.GLTFLoader: Unsupported asset. glTF versions >=2.0 are supported.'));return;}\n",
       "if(json.extensionsUsed){for(var i=0;i<json.extensionsUsed.length;++i){var extensionName=json.extensionsUsed[i];var extensionsRequired=json.extensionsRequired||[];switch(extensionName){case EXTENSIONS.KHR_LIGHTS_PUNCTUAL:extensions[extensionName]=new GLTFLightsExtension(json);break;case EXTENSIONS.KHR_MATERIALS_CLEARCOAT:extensions[extensionName]=new GLTFMaterialsClearcoatExtension();break;case EXTENSIONS.KHR_MATERIALS_UNLIT:extensions[extensionName]=new GLTFMaterialsUnlitExtension();break;case EXTENSIONS.KHR_MATERIALS_PBR_SPECULAR_GLOSSINESS:extensions[extensionName]=new GLTFMaterialsPbrSpecularGlossinessExtension();break;case EXTENSIONS.KHR_DRACO_MESH_COMPRESSION:extensions[extensionName]=new GLTFDracoMeshCompressionExtension(json,this.dracoLoader);break;case EXTENSIONS.MSFT_TEXTURE_DDS:extensions[extensionName]=new GLTFTextureDDSExtension(this.ddsLoader);break;case EXTENSIONS.KHR_TEXTURE_TRANSFORM:extensions[extensionName]=new GLTFTextureTransformExtension();break;case EXTENSIONS.KHR_MESH_QUANTIZATION:extensions[extensionName]=new GLTFMeshQuantizationExtension();break;default:if(extensionsRequired.indexOf(extensionName)>=0){console.warn('THREE.GLTFLoader: Unknown extension &quot;'+extensionName+'&quot;.');}}}}\n",
       "var parser=new GLTFParser(json,extensions,{path:path||this.resourcePath||'',crossOrigin:this.crossOrigin,manager:this.manager});parser.parse(onLoad,onError);}});function GLTFRegistry(){var objects={};return{get:function(key){return objects[key];},add:function(key,object){objects[key]=object;},remove:function(key){delete objects[key];},removeAll:function(){objects={};}};}\n",
       "var EXTENSIONS={KHR_BINARY_GLTF:'KHR_binary_glTF',KHR_DRACO_MESH_COMPRESSION:'KHR_draco_mesh_compression',KHR_LIGHTS_PUNCTUAL:'KHR_lights_punctual',KHR_MATERIALS_CLEARCOAT:'KHR_materials_clearcoat',KHR_MATERIALS_PBR_SPECULAR_GLOSSINESS:'KHR_materials_pbrSpecularGlossiness',KHR_MATERIALS_UNLIT:'KHR_materials_unlit',KHR_TEXTURE_TRANSFORM:'KHR_texture_transform',KHR_MESH_QUANTIZATION:'KHR_mesh_quantization',MSFT_TEXTURE_DDS:'MSFT_texture_dds'};function GLTFTextureDDSExtension(ddsLoader){if(!ddsLoader){throw new Error('THREE.GLTFLoader: Attempting to load .dds texture without importing THREE.DDSLoader');}\n",
       "this.name=EXTENSIONS.MSFT_TEXTURE_DDS;this.ddsLoader=ddsLoader;}\n",
       "function GLTFLightsExtension(json){this.name=EXTENSIONS.KHR_LIGHTS_PUNCTUAL;var extension=(json.extensions&&json.extensions[EXTENSIONS.KHR_LIGHTS_PUNCTUAL])||{};this.lightDefs=extension.lights||[];}\n",
       "GLTFLightsExtension.prototype.loadLight=function(lightIndex){var lightDef=this.lightDefs[lightIndex];var lightNode;var color=new THREE.Color(0xffffff);if(lightDef.color!==undefined)color.fromArray(lightDef.color);var range=lightDef.range!==undefined?lightDef.range:0;switch(lightDef.type){case'directional':lightNode=new THREE.DirectionalLight(color);lightNode.target.position.set(0,0,-1);lightNode.add(lightNode.target);break;case'point':lightNode=new THREE.PointLight(color);lightNode.distance=range;break;case'spot':lightNode=new THREE.SpotLight(color);lightNode.distance=range;lightDef.spot=lightDef.spot||{};lightDef.spot.innerConeAngle=lightDef.spot.innerConeAngle!==undefined?lightDef.spot.innerConeAngle:0;lightDef.spot.outerConeAngle=lightDef.spot.outerConeAngle!==undefined?lightDef.spot.outerConeAngle:Math.PI/4.0;lightNode.angle=lightDef.spot.outerConeAngle;lightNode.penumbra=1.0-lightDef.spot.innerConeAngle/lightDef.spot.outerConeAngle;lightNode.target.position.set(0,0,-1);lightNode.add(lightNode.target);break;default:throw new Error('THREE.GLTFLoader: Unexpected light type, &quot;'+lightDef.type+'&quot;.');}\n",
       "lightNode.position.set(0,0,0);lightNode.decay=2;if(lightDef.intensity!==undefined)lightNode.intensity=lightDef.intensity;lightNode.name=lightDef.name||('light_'+lightIndex);return Promise.resolve(lightNode);};function GLTFMaterialsUnlitExtension(){this.name=EXTENSIONS.KHR_MATERIALS_UNLIT;}\n",
       "GLTFMaterialsUnlitExtension.prototype.getMaterialType=function(){return THREE.MeshBasicMaterial;};GLTFMaterialsUnlitExtension.prototype.extendParams=function(materialParams,materialDef,parser){var pending=[];materialParams.color=new THREE.Color(1.0,1.0,1.0);materialParams.opacity=1.0;var metallicRoughness=materialDef.pbrMetallicRoughness;if(metallicRoughness){if(Array.isArray(metallicRoughness.baseColorFactor)){var array=metallicRoughness.baseColorFactor;materialParams.color.fromArray(array);materialParams.opacity=array[3];}\n",
       "if(metallicRoughness.baseColorTexture!==undefined){pending.push(parser.assignTexture(materialParams,'map',metallicRoughness.baseColorTexture));}}\n",
       "return Promise.all(pending);};function GLTFMaterialsClearcoatExtension(){this.name=EXTENSIONS.KHR_MATERIALS_CLEARCOAT;}\n",
       "GLTFMaterialsClearcoatExtension.prototype.getMaterialType=function(){return THREE.MeshPhysicalMaterial;};GLTFMaterialsClearcoatExtension.prototype.extendParams=function(materialParams,materialDef,parser){var pending=[];var extension=materialDef.extensions[this.name];if(extension.clearcoatFactor!==undefined){materialParams.clearcoat=extension.clearcoatFactor;}\n",
       "if(extension.clearcoatTexture!==undefined){pending.push(parser.assignTexture(materialParams,'clearcoatMap',extension.clearcoatTexture));}\n",
       "if(extension.clearcoatRoughnessFactor!==undefined){materialParams.clearcoatRoughness=extension.clearcoatRoughnessFactor;}\n",
       "if(extension.clearcoatRoughnessTexture!==undefined){pending.push(parser.assignTexture(materialParams,'clearcoatRoughnessMap',extension.clearcoatRoughnessTexture));}\n",
       "if(extension.clearcoatNormalTexture!==undefined){pending.push(parser.assignTexture(materialParams,'clearcoatNormalMap',extension.clearcoatNormalTexture));if(extension.clearcoatNormalTexture.scale!==undefined){var scale=extension.clearcoatNormalTexture.scale;materialParams.clearcoatNormalScale=new THREE.Vector2(scale,scale);}}\n",
       "return Promise.all(pending);};var BINARY_EXTENSION_HEADER_MAGIC='glTF';var BINARY_EXTENSION_HEADER_LENGTH=12;var BINARY_EXTENSION_CHUNK_TYPES={JSON:0x4E4F534A,BIN:0x004E4942};function GLTFBinaryExtension(data){this.name=EXTENSIONS.KHR_BINARY_GLTF;this.content=null;this.body=null;var headerView=new DataView(data,0,BINARY_EXTENSION_HEADER_LENGTH);this.header={magic:THREE.LoaderUtils.decodeText(new Uint8Array(data.slice(0,4))),version:headerView.getUint32(4,true),length:headerView.getUint32(8,true)};if(this.header.magic!==BINARY_EXTENSION_HEADER_MAGIC){throw new Error('THREE.GLTFLoader: Unsupported glTF-Binary header.');}else if(this.header.version<2.0){throw new Error('THREE.GLTFLoader: Legacy binary file detected.');}\n",
       "var chunkView=new DataView(data,BINARY_EXTENSION_HEADER_LENGTH);var chunkIndex=0;while(chunkIndex<chunkView.byteLength){var chunkLength=chunkView.getUint32(chunkIndex,true);chunkIndex+=4;var chunkType=chunkView.getUint32(chunkIndex,true);chunkIndex+=4;if(chunkType===BINARY_EXTENSION_CHUNK_TYPES.JSON){var contentArray=new Uint8Array(data,BINARY_EXTENSION_HEADER_LENGTH+chunkIndex,chunkLength);this.content=THREE.LoaderUtils.decodeText(contentArray);}else if(chunkType===BINARY_EXTENSION_CHUNK_TYPES.BIN){var byteOffset=BINARY_EXTENSION_HEADER_LENGTH+chunkIndex;this.body=data.slice(byteOffset,byteOffset+chunkLength);}\n",
       "chunkIndex+=chunkLength;}\n",
       "if(this.content===null){throw new Error('THREE.GLTFLoader: JSON content not found.');}}\n",
       "function GLTFDracoMeshCompressionExtension(json,dracoLoader){if(!dracoLoader){throw new Error('THREE.GLTFLoader: No DRACOLoader instance provided.');}\n",
       "this.name=EXTENSIONS.KHR_DRACO_MESH_COMPRESSION;this.json=json;this.dracoLoader=dracoLoader;this.dracoLoader.preload();}\n",
       "GLTFDracoMeshCompressionExtension.prototype.decodePrimitive=function(primitive,parser){var json=this.json;var dracoLoader=this.dracoLoader;var bufferViewIndex=primitive.extensions[this.name].bufferView;var gltfAttributeMap=primitive.extensions[this.name].attributes;var threeAttributeMap={};var attributeNormalizedMap={};var attributeTypeMap={};for(var attributeName in gltfAttributeMap){var threeAttributeName=ATTRIBUTES[attributeName]||attributeName.toLowerCase();threeAttributeMap[threeAttributeName]=gltfAttributeMap[attributeName];}\n",
       "for(attributeName in primitive.attributes){var threeAttributeName=ATTRIBUTES[attributeName]||attributeName.toLowerCase();if(gltfAttributeMap[attributeName]!==undefined){var accessorDef=json.accessors[primitive.attributes[attributeName]];var componentType=WEBGL_COMPONENT_TYPES[accessorDef.componentType];attributeTypeMap[threeAttributeName]=componentType;attributeNormalizedMap[threeAttributeName]=accessorDef.normalized===true;}}\n",
       "return parser.getDependency('bufferView',bufferViewIndex).then(function(bufferView){return new Promise(function(resolve){dracoLoader.decodeDracoFile(bufferView,function(geometry){for(var attributeName in geometry.attributes){var attribute=geometry.attributes[attributeName];var normalized=attributeNormalizedMap[attributeName];if(normalized!==undefined)attribute.normalized=normalized;}\n",
       "resolve(geometry);},threeAttributeMap,attributeTypeMap);});});};function GLTFTextureTransformExtension(){this.name=EXTENSIONS.KHR_TEXTURE_TRANSFORM;}\n",
       "GLTFTextureTransformExtension.prototype.extendTexture=function(texture,transform){texture=texture.clone();if(transform.offset!==undefined){texture.offset.fromArray(transform.offset);}\n",
       "if(transform.rotation!==undefined){texture.rotation=transform.rotation;}\n",
       "if(transform.scale!==undefined){texture.repeat.fromArray(transform.scale);}\n",
       "if(transform.texCoord!==undefined){console.warn('THREE.GLTFLoader: Custom UV sets in &quot;'+this.name+'&quot; extension not yet supported.');}\n",
       "texture.needsUpdate=true;return texture;};function GLTFMeshStandardSGMaterial(params){THREE.MeshStandardMaterial.call(this);this.isGLTFSpecularGlossinessMaterial=true;var specularMapParsFragmentChunk=['#ifdef USE_SPECULARMAP','\tuniform sampler2D specularMap;','#endif'].join('\\n');var glossinessMapParsFragmentChunk=['#ifdef USE_GLOSSINESSMAP','\tuniform sampler2D glossinessMap;','#endif'].join('\\n');var specularMapFragmentChunk=['vec3 specularFactor = specular;','#ifdef USE_SPECULARMAP','\tvec4 texelSpecular = texture2D( specularMap, vUv );','\ttexelSpecular = sRGBToLinear( texelSpecular );','\t// reads channel RGB, compatible with a glTF Specular-Glossiness (RGBA) texture','\tspecularFactor *= texelSpecular.rgb;','#endif'].join('\\n');var glossinessMapFragmentChunk=['float glossinessFactor = glossiness;','#ifdef USE_GLOSSINESSMAP','\tvec4 texelGlossiness = texture2D( glossinessMap, vUv );','\t// reads channel A, compatible with a glTF Specular-Glossiness (RGBA) texture','\tglossinessFactor *= texelGlossiness.a;','#endif'].join('\\n');var lightPhysicalFragmentChunk=['PhysicalMaterial material;','material.diffuseColor = diffuseColor.rgb;','vec3 dxy = max( abs( dFdx( geometryNormal ) ), abs( dFdy( geometryNormal ) ) );','float geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z );','material.specularRoughness = max( 1.0 - glossinessFactor, 0.0525 );// 0.0525 corresponds to the base mip of a 256 cubemap.','material.specularRoughness += geometryRoughness;','material.specularRoughness = min( material.specularRoughness, 1.0 );','material.specularColor = specularFactor.rgb;',].join('\\n');var uniforms={specular:{value:new THREE.Color().setHex(0xffffff)},glossiness:{value:1},specularMap:{value:null},glossinessMap:{value:null}};this._extraUniforms=uniforms;this.onBeforeCompile=function(shader){for(var uniformName in uniforms){shader.uniforms[uniformName]=uniforms[uniformName];}\n",
       "shader.fragmentShader=shader.fragmentShader.replace('uniform float roughness;','uniform vec3 specular;');shader.fragmentShader=shader.fragmentShader.replace('uniform float metalness;','uniform float glossiness;');shader.fragmentShader=shader.fragmentShader.replace('#include <roughnessmap_pars_fragment>',specularMapParsFragmentChunk);shader.fragmentShader=shader.fragmentShader.replace('#include <metalnessmap_pars_fragment>',glossinessMapParsFragmentChunk);shader.fragmentShader=shader.fragmentShader.replace('#include <roughnessmap_fragment>',specularMapFragmentChunk);shader.fragmentShader=shader.fragmentShader.replace('#include <metalnessmap_fragment>',glossinessMapFragmentChunk);shader.fragmentShader=shader.fragmentShader.replace('#include <lights_physical_fragment>',lightPhysicalFragmentChunk);};Object.defineProperties(this,{specular:{get:function(){return uniforms.specular.value;},set:function(v){uniforms.specular.value=v;}},specularMap:{get:function(){return uniforms.specularMap.value;},set:function(v){uniforms.specularMap.value=v;}},glossiness:{get:function(){return uniforms.glossiness.value;},set:function(v){uniforms.glossiness.value=v;}},glossinessMap:{get:function(){return uniforms.glossinessMap.value;},set:function(v){uniforms.glossinessMap.value=v;if(v){this.defines.USE_GLOSSINESSMAP='';this.defines.USE_ROUGHNESSMAP='';}else{delete this.defines.USE_ROUGHNESSMAP;delete this.defines.USE_GLOSSINESSMAP;}}}});delete this.metalness;delete this.roughness;delete this.metalnessMap;delete this.roughnessMap;this.setValues(params);}\n",
       "GLTFMeshStandardSGMaterial.prototype=Object.create(THREE.MeshStandardMaterial.prototype);GLTFMeshStandardSGMaterial.prototype.constructor=GLTFMeshStandardSGMaterial;GLTFMeshStandardSGMaterial.prototype.copy=function(source){THREE.MeshStandardMaterial.prototype.copy.call(this,source);this.specularMap=source.specularMap;this.specular.copy(source.specular);this.glossinessMap=source.glossinessMap;this.glossiness=source.glossiness;delete this.metalness;delete this.roughness;delete this.metalnessMap;delete this.roughnessMap;return this;};function GLTFMaterialsPbrSpecularGlossinessExtension(){return{name:EXTENSIONS.KHR_MATERIALS_PBR_SPECULAR_GLOSSINESS,specularGlossinessParams:['color','map','lightMap','lightMapIntensity','aoMap','aoMapIntensity','emissive','emissiveIntensity','emissiveMap','bumpMap','bumpScale','normalMap','normalMapType','displacementMap','displacementScale','displacementBias','specularMap','specular','glossinessMap','glossiness','alphaMap','envMap','envMapIntensity','refractionRatio',],getMaterialType:function(){return GLTFMeshStandardSGMaterial;},extendParams:function(materialParams,materialDef,parser){var pbrSpecularGlossiness=materialDef.extensions[this.name];materialParams.color=new THREE.Color(1.0,1.0,1.0);materialParams.opacity=1.0;var pending=[];if(Array.isArray(pbrSpecularGlossiness.diffuseFactor)){var array=pbrSpecularGlossiness.diffuseFactor;materialParams.color.fromArray(array);materialParams.opacity=array[3];}\n",
       "if(pbrSpecularGlossiness.diffuseTexture!==undefined){pending.push(parser.assignTexture(materialParams,'map',pbrSpecularGlossiness.diffuseTexture));}\n",
       "materialParams.emissive=new THREE.Color(0.0,0.0,0.0);materialParams.glossiness=pbrSpecularGlossiness.glossinessFactor!==undefined?pbrSpecularGlossiness.glossinessFactor:1.0;materialParams.specular=new THREE.Color(1.0,1.0,1.0);if(Array.isArray(pbrSpecularGlossiness.specularFactor)){materialParams.specular.fromArray(pbrSpecularGlossiness.specularFactor);}\n",
       "if(pbrSpecularGlossiness.specularGlossinessTexture!==undefined){var specGlossMapDef=pbrSpecularGlossiness.specularGlossinessTexture;pending.push(parser.assignTexture(materialParams,'glossinessMap',specGlossMapDef));pending.push(parser.assignTexture(materialParams,'specularMap',specGlossMapDef));}\n",
       "return Promise.all(pending);},createMaterial:function(materialParams){var material=new GLTFMeshStandardSGMaterial(materialParams);material.fog=true;material.color=materialParams.color;material.map=materialParams.map===undefined?null:materialParams.map;material.lightMap=null;material.lightMapIntensity=1.0;material.aoMap=materialParams.aoMap===undefined?null:materialParams.aoMap;material.aoMapIntensity=1.0;material.emissive=materialParams.emissive;material.emissiveIntensity=1.0;material.emissiveMap=materialParams.emissiveMap===undefined?null:materialParams.emissiveMap;material.bumpMap=materialParams.bumpMap===undefined?null:materialParams.bumpMap;material.bumpScale=1;material.normalMap=materialParams.normalMap===undefined?null:materialParams.normalMap;material.normalMapType=THREE.TangentSpaceNormalMap;if(materialParams.normalScale)material.normalScale=materialParams.normalScale;material.displacementMap=null;material.displacementScale=1;material.displacementBias=0;material.specularMap=materialParams.specularMap===undefined?null:materialParams.specularMap;material.specular=materialParams.specular;material.glossinessMap=materialParams.glossinessMap===undefined?null:materialParams.glossinessMap;material.glossiness=materialParams.glossiness;material.alphaMap=null;material.envMap=materialParams.envMap===undefined?null:materialParams.envMap;material.envMapIntensity=1.0;material.refractionRatio=0.98;return material;},};}\n",
       "function GLTFMeshQuantizationExtension(){this.name=EXTENSIONS.KHR_MESH_QUANTIZATION;}\n",
       "function GLTFCubicSplineInterpolant(parameterPositions,sampleValues,sampleSize,resultBuffer){THREE.Interpolant.call(this,parameterPositions,sampleValues,sampleSize,resultBuffer);}\n",
       "GLTFCubicSplineInterpolant.prototype=Object.create(THREE.Interpolant.prototype);GLTFCubicSplineInterpolant.prototype.constructor=GLTFCubicSplineInterpolant;GLTFCubicSplineInterpolant.prototype.copySampleValue_=function(index){var result=this.resultBuffer,values=this.sampleValues,valueSize=this.valueSize,offset=index*valueSize*3+valueSize;for(var i=0;i!==valueSize;i++){result[i]=values[offset+i];}\n",
       "return result;};GLTFCubicSplineInterpolant.prototype.beforeStart_=GLTFCubicSplineInterpolant.prototype.copySampleValue_;GLTFCubicSplineInterpolant.prototype.afterEnd_=GLTFCubicSplineInterpolant.prototype.copySampleValue_;GLTFCubicSplineInterpolant.prototype.interpolate_=function(i1,t0,t,t1){var result=this.resultBuffer;var values=this.sampleValues;var stride=this.valueSize;var stride2=stride*2;var stride3=stride*3;var td=t1-t0;var p=(t-t0)/td;var pp=p*p;var ppp=pp*p;var offset1=i1*stride3;var offset0=offset1-stride3;var s2=-2*ppp+3*pp;var s3=ppp-pp;var s0=1-s2;var s1=s3-pp+p;for(var i=0;i!==stride;i++){var p0=values[offset0+i+stride];var m0=values[offset0+i+stride2]*td;var p1=values[offset1+i+stride];var m1=values[offset1+i]*td;result[i]=s0*p0+s1*m0+s2*p1+s3*m1;}\n",
       "return result;};var WEBGL_CONSTANTS={FLOAT:5126,FLOAT_MAT3:35675,FLOAT_MAT4:35676,FLOAT_VEC2:35664,FLOAT_VEC3:35665,FLOAT_VEC4:35666,LINEAR:9729,REPEAT:10497,SAMPLER_2D:35678,POINTS:0,LINES:1,LINE_LOOP:2,LINE_STRIP:3,TRIANGLES:4,TRIANGLE_STRIP:5,TRIANGLE_FAN:6,UNSIGNED_BYTE:5121,UNSIGNED_SHORT:5123};var WEBGL_COMPONENT_TYPES={5120:Int8Array,5121:Uint8Array,5122:Int16Array,5123:Uint16Array,5125:Uint32Array,5126:Float32Array};var WEBGL_FILTERS={9728:THREE.NearestFilter,9729:THREE.LinearFilter,9984:THREE.NearestMipmapNearestFilter,9985:THREE.LinearMipmapNearestFilter,9986:THREE.NearestMipmapLinearFilter,9987:THREE.LinearMipmapLinearFilter};var WEBGL_WRAPPINGS={33071:THREE.ClampToEdgeWrapping,33648:THREE.MirroredRepeatWrapping,10497:THREE.RepeatWrapping};var WEBGL_TYPE_SIZES={'SCALAR':1,'VEC2':2,'VEC3':3,'VEC4':4,'MAT2':4,'MAT3':9,'MAT4':16};var ATTRIBUTES={POSITION:'position',NORMAL:'normal',TANGENT:'tangent',TEXCOORD_0:'uv',TEXCOORD_1:'uv2',COLOR_0:'color',WEIGHTS_0:'skinWeight',JOINTS_0:'skinIndex',};var PATH_PROPERTIES={scale:'scale',translation:'position',rotation:'quaternion',weights:'morphTargetInfluences'};var INTERPOLATION={CUBICSPLINE:undefined,LINEAR:THREE.InterpolateLinear,STEP:THREE.InterpolateDiscrete};var ALPHA_MODES={OPAQUE:'OPAQUE',MASK:'MASK',BLEND:'BLEND'};var MIME_TYPE_FORMATS={'image/png':THREE.RGBAFormat,'image/jpeg':THREE.RGBFormat};function resolveURL(url,path){if(typeof url!=='string'||url==='')return'';if(/^https?:\\/\\//i.test(path)&&/^\\//.test(url)){path=path.replace(/(^https?:\\/\\/[^\\/]+).*/i,'$1');}\n",
       "if(/^(https?:)?\\/\\//i.test(url))return url;if(/^data:.*,.*$/i.test(url))return url;if(/^blob:.*$/i.test(url))return url;return path+url;}\n",
       "function createDefaultMaterial(cache){if(cache['DefaultMaterial']===undefined){cache['DefaultMaterial']=new THREE.MeshStandardMaterial({color:0xFFFFFF,emissive:0x000000,metalness:1,roughness:1,transparent:false,depthTest:true,side:THREE.FrontSide});}\n",
       "return cache['DefaultMaterial'];}\n",
       "function addUnknownExtensionsToUserData(knownExtensions,object,objectDef){for(var name in objectDef.extensions){if(knownExtensions[name]===undefined){object.userData.gltfExtensions=object.userData.gltfExtensions||{};object.userData.gltfExtensions[name]=objectDef.extensions[name];}}}\n",
       "function assignExtrasToUserData(object,gltfDef){if(gltfDef.extras!==undefined){if(typeof gltfDef.extras==='object'){Object.assign(object.userData,gltfDef.extras);}else{console.warn('THREE.GLTFLoader: Ignoring primitive type .extras, '+gltfDef.extras);}}}\n",
       "function addMorphTargets(geometry,targets,parser){var hasMorphPosition=false;var hasMorphNormal=false;for(var i=0,il=targets.length;i<il;i++){var target=targets[i];if(target.POSITION!==undefined)hasMorphPosition=true;if(target.NORMAL!==undefined)hasMorphNormal=true;if(hasMorphPosition&&hasMorphNormal)break;}\n",
       "if(!hasMorphPosition&&!hasMorphNormal)return Promise.resolve(geometry);var pendingPositionAccessors=[];var pendingNormalAccessors=[];for(var i=0,il=targets.length;i<il;i++){var target=targets[i];if(hasMorphPosition){var pendingAccessor=target.POSITION!==undefined?parser.getDependency('accessor',target.POSITION):geometry.attributes.position;pendingPositionAccessors.push(pendingAccessor);}\n",
       "if(hasMorphNormal){var pendingAccessor=target.NORMAL!==undefined?parser.getDependency('accessor',target.NORMAL):geometry.attributes.normal;pendingNormalAccessors.push(pendingAccessor);}}\n",
       "return Promise.all([Promise.all(pendingPositionAccessors),Promise.all(pendingNormalAccessors)]).then(function(accessors){var morphPositions=accessors[0];var morphNormals=accessors[1];if(hasMorphPosition)geometry.morphAttributes.position=morphPositions;if(hasMorphNormal)geometry.morphAttributes.normal=morphNormals;geometry.morphTargetsRelative=true;return geometry;});}\n",
       "function updateMorphTargets(mesh,meshDef){mesh.updateMorphTargets();if(meshDef.weights!==undefined){for(var i=0,il=meshDef.weights.length;i<il;i++){mesh.morphTargetInfluences[i]=meshDef.weights[i];}}\n",
       "if(meshDef.extras&&Array.isArray(meshDef.extras.targetNames)){var targetNames=meshDef.extras.targetNames;if(mesh.morphTargetInfluences.length===targetNames.length){mesh.morphTargetDictionary={};for(var i=0,il=targetNames.length;i<il;i++){mesh.morphTargetDictionary[targetNames[i]]=i;}}else{console.warn('THREE.GLTFLoader: Invalid extras.targetNames length. Ignoring names.');}}}\n",
       "function createPrimitiveKey(primitiveDef){var dracoExtension=primitiveDef.extensions&&primitiveDef.extensions[EXTENSIONS.KHR_DRACO_MESH_COMPRESSION];var geometryKey;if(dracoExtension){geometryKey='draco:'+dracoExtension.bufferView\n",
       "+':'+dracoExtension.indices\n",
       "+':'+createAttributesKey(dracoExtension.attributes);}else{geometryKey=primitiveDef.indices+':'+createAttributesKey(primitiveDef.attributes)+':'+primitiveDef.mode;}\n",
       "return geometryKey;}\n",
       "function createAttributesKey(attributes){var attributesKey='';var keys=Object.keys(attributes).sort();for(var i=0,il=keys.length;i<il;i++){attributesKey+=keys[i]+':'+attributes[keys[i]]+';';}\n",
       "return attributesKey;}\n",
       "function GLTFParser(json,extensions,options){this.json=json||{};this.extensions=extensions||{};this.options=options||{};this.cache=new GLTFRegistry();this.primitiveCache={};this.textureLoader=new THREE.TextureLoader(this.options.manager);this.textureLoader.setCrossOrigin(this.options.crossOrigin);this.fileLoader=new THREE.FileLoader(this.options.manager);this.fileLoader.setResponseType('arraybuffer');if(this.options.crossOrigin==='use-credentials'){this.fileLoader.setWithCredentials(true);}}\n",
       "GLTFParser.prototype.parse=function(onLoad,onError){var parser=this;var json=this.json;var extensions=this.extensions;this.cache.removeAll();this.markDefs();Promise.all([this.getDependencies('scene'),this.getDependencies('animation'),this.getDependencies('camera'),]).then(function(dependencies){var result={scene:dependencies[0][json.scene||0],scenes:dependencies[0],animations:dependencies[1],cameras:dependencies[2],asset:json.asset,parser:parser,userData:{}};addUnknownExtensionsToUserData(extensions,result,json);assignExtrasToUserData(result,json);onLoad(result);}).catch(onError);};GLTFParser.prototype.markDefs=function(){var nodeDefs=this.json.nodes||[];var skinDefs=this.json.skins||[];var meshDefs=this.json.meshes||[];var meshReferences={};var meshUses={};for(var skinIndex=0,skinLength=skinDefs.length;skinIndex<skinLength;skinIndex++){var joints=skinDefs[skinIndex].joints;for(var i=0,il=joints.length;i<il;i++){nodeDefs[joints[i]].isBone=true;}}\n",
       "for(var nodeIndex=0,nodeLength=nodeDefs.length;nodeIndex<nodeLength;nodeIndex++){var nodeDef=nodeDefs[nodeIndex];if(nodeDef.mesh!==undefined){if(meshReferences[nodeDef.mesh]===undefined){meshReferences[nodeDef.mesh]=meshUses[nodeDef.mesh]=0;}\n",
       "meshReferences[nodeDef.mesh]++;if(nodeDef.skin!==undefined){meshDefs[nodeDef.mesh].isSkinnedMesh=true;}}}\n",
       "this.json.meshReferences=meshReferences;this.json.meshUses=meshUses;};GLTFParser.prototype.getDependency=function(type,index){var cacheKey=type+':'+index;var dependency=this.cache.get(cacheKey);if(!dependency){switch(type){case'scene':dependency=this.loadScene(index);break;case'node':dependency=this.loadNode(index);break;case'mesh':dependency=this.loadMesh(index);break;case'accessor':dependency=this.loadAccessor(index);break;case'bufferView':dependency=this.loadBufferView(index);break;case'buffer':dependency=this.loadBuffer(index);break;case'material':dependency=this.loadMaterial(index);break;case'texture':dependency=this.loadTexture(index);break;case'skin':dependency=this.loadSkin(index);break;case'animation':dependency=this.loadAnimation(index);break;case'camera':dependency=this.loadCamera(index);break;case'light':dependency=this.extensions[EXTENSIONS.KHR_LIGHTS_PUNCTUAL].loadLight(index);break;default:throw new Error('Unknown type: '+type);}\n",
       "this.cache.add(cacheKey,dependency);}\n",
       "return dependency;};GLTFParser.prototype.getDependencies=function(type){var dependencies=this.cache.get(type);if(!dependencies){var parser=this;var defs=this.json[type+(type==='mesh'?'es':'s')]||[];dependencies=Promise.all(defs.map(function(def,index){return parser.getDependency(type,index);}));this.cache.add(type,dependencies);}\n",
       "return dependencies;};GLTFParser.prototype.loadBuffer=function(bufferIndex){var bufferDef=this.json.buffers[bufferIndex];var loader=this.fileLoader;if(bufferDef.type&&bufferDef.type!=='arraybuffer'){throw new Error('THREE.GLTFLoader: '+bufferDef.type+' buffer type is not supported.');}\n",
       "if(bufferDef.uri===undefined&&bufferIndex===0){return Promise.resolve(this.extensions[EXTENSIONS.KHR_BINARY_GLTF].body);}\n",
       "var options=this.options;return new Promise(function(resolve,reject){loader.load(resolveURL(bufferDef.uri,options.path),resolve,undefined,function(){reject(new Error('THREE.GLTFLoader: Failed to load buffer &quot;'+bufferDef.uri+'&quot;.'));});});};GLTFParser.prototype.loadBufferView=function(bufferViewIndex){var bufferViewDef=this.json.bufferViews[bufferViewIndex];return this.getDependency('buffer',bufferViewDef.buffer).then(function(buffer){var byteLength=bufferViewDef.byteLength||0;var byteOffset=bufferViewDef.byteOffset||0;return buffer.slice(byteOffset,byteOffset+byteLength);});};GLTFParser.prototype.loadAccessor=function(accessorIndex){var parser=this;var json=this.json;var accessorDef=this.json.accessors[accessorIndex];if(accessorDef.bufferView===undefined&&accessorDef.sparse===undefined){return Promise.resolve(null);}\n",
       "var pendingBufferViews=[];if(accessorDef.bufferView!==undefined){pendingBufferViews.push(this.getDependency('bufferView',accessorDef.bufferView));}else{pendingBufferViews.push(null);}\n",
       "if(accessorDef.sparse!==undefined){pendingBufferViews.push(this.getDependency('bufferView',accessorDef.sparse.indices.bufferView));pendingBufferViews.push(this.getDependency('bufferView',accessorDef.sparse.values.bufferView));}\n",
       "return Promise.all(pendingBufferViews).then(function(bufferViews){var bufferView=bufferViews[0];var itemSize=WEBGL_TYPE_SIZES[accessorDef.type];var TypedArray=WEBGL_COMPONENT_TYPES[accessorDef.componentType];var elementBytes=TypedArray.BYTES_PER_ELEMENT;var itemBytes=elementBytes*itemSize;var byteOffset=accessorDef.byteOffset||0;var byteStride=accessorDef.bufferView!==undefined?json.bufferViews[accessorDef.bufferView].byteStride:undefined;var normalized=accessorDef.normalized===true;var array,bufferAttribute;if(byteStride&&byteStride!==itemBytes){var ibSlice=Math.floor(byteOffset/byteStride);var ibCacheKey='InterleavedBuffer:'+accessorDef.bufferView+':'+accessorDef.componentType+':'+ibSlice+':'+accessorDef.count;var ib=parser.cache.get(ibCacheKey);if(!ib){array=new TypedArray(bufferView,ibSlice*byteStride,accessorDef.count*byteStride/elementBytes);ib=new THREE.InterleavedBuffer(array,byteStride/elementBytes);parser.cache.add(ibCacheKey,ib);}\n",
       "bufferAttribute=new THREE.InterleavedBufferAttribute(ib,itemSize,(byteOffset%byteStride)/elementBytes,normalized);}else{if(bufferView===null){array=new TypedArray(accessorDef.count*itemSize);}else{array=new TypedArray(bufferView,byteOffset,accessorDef.count*itemSize);}\n",
       "bufferAttribute=new THREE.BufferAttribute(array,itemSize,normalized);}\n",
       "if(accessorDef.sparse!==undefined){var itemSizeIndices=WEBGL_TYPE_SIZES.SCALAR;var TypedArrayIndices=WEBGL_COMPONENT_TYPES[accessorDef.sparse.indices.componentType];var byteOffsetIndices=accessorDef.sparse.indices.byteOffset||0;var byteOffsetValues=accessorDef.sparse.values.byteOffset||0;var sparseIndices=new TypedArrayIndices(bufferViews[1],byteOffsetIndices,accessorDef.sparse.count*itemSizeIndices);var sparseValues=new TypedArray(bufferViews[2],byteOffsetValues,accessorDef.sparse.count*itemSize);if(bufferView!==null){bufferAttribute=new THREE.BufferAttribute(bufferAttribute.array.slice(),bufferAttribute.itemSize,bufferAttribute.normalized);}\n",
       "for(var i=0,il=sparseIndices.length;i<il;i++){var index=sparseIndices[i];bufferAttribute.setX(index,sparseValues[i*itemSize]);if(itemSize>=2)bufferAttribute.setY(index,sparseValues[i*itemSize+1]);if(itemSize>=3)bufferAttribute.setZ(index,sparseValues[i*itemSize+2]);if(itemSize>=4)bufferAttribute.setW(index,sparseValues[i*itemSize+3]);if(itemSize>=5)throw new Error('THREE.GLTFLoader: Unsupported itemSize in sparse BufferAttribute.');}}\n",
       "return bufferAttribute;});};GLTFParser.prototype.loadTexture=function(textureIndex){var parser=this;var json=this.json;var options=this.options;var textureLoader=this.textureLoader;var URL=self.URL||self.webkitURL;var textureDef=json.textures[textureIndex];var textureExtensions=textureDef.extensions||{};var source;if(textureExtensions[EXTENSIONS.MSFT_TEXTURE_DDS]){source=json.images[textureExtensions[EXTENSIONS.MSFT_TEXTURE_DDS].source];}else{source=json.images[textureDef.source];}\n",
       "var sourceURI=source.uri;var isObjectURL=false;if(source.bufferView!==undefined){sourceURI=parser.getDependency('bufferView',source.bufferView).then(function(bufferView){isObjectURL=true;var blob=new Blob([bufferView],{type:source.mimeType});sourceURI=URL.createObjectURL(blob);return sourceURI;});}\n",
       "return Promise.resolve(sourceURI).then(function(sourceURI){var loader=options.manager.getHandler(sourceURI);if(!loader){loader=textureExtensions[EXTENSIONS.MSFT_TEXTURE_DDS]?parser.extensions[EXTENSIONS.MSFT_TEXTURE_DDS].ddsLoader:textureLoader;}\n",
       "return new Promise(function(resolve,reject){loader.load(resolveURL(sourceURI,options.path),resolve,undefined,reject);});}).then(function(texture){if(isObjectURL===true){URL.revokeObjectURL(sourceURI);}\n",
       "texture.flipY=false;if(textureDef.name)texture.name=textureDef.name;if(source.mimeType in MIME_TYPE_FORMATS){texture.format=MIME_TYPE_FORMATS[source.mimeType];}\n",
       "var samplers=json.samplers||{};var sampler=samplers[textureDef.sampler]||{};texture.magFilter=WEBGL_FILTERS[sampler.magFilter]||THREE.LinearFilter;texture.minFilter=WEBGL_FILTERS[sampler.minFilter]||THREE.LinearMipmapLinearFilter;texture.wrapS=WEBGL_WRAPPINGS[sampler.wrapS]||THREE.RepeatWrapping;texture.wrapT=WEBGL_WRAPPINGS[sampler.wrapT]||THREE.RepeatWrapping;return texture;});};GLTFParser.prototype.assignTexture=function(materialParams,mapName,mapDef){var parser=this;return this.getDependency('texture',mapDef.index).then(function(texture){if(!texture.isCompressedTexture){switch(mapName){case'aoMap':case'emissiveMap':case'metalnessMap':case'normalMap':case'roughnessMap':texture.format=THREE.RGBFormat;break;}}\n",
       "if(mapDef.texCoord!==undefined&&mapDef.texCoord!=0&&!(mapName==='aoMap'&&mapDef.texCoord==1)){console.warn('THREE.GLTFLoader: Custom UV set '+mapDef.texCoord+' for texture '+mapName+' not yet supported.');}\n",
       "if(parser.extensions[EXTENSIONS.KHR_TEXTURE_TRANSFORM]){var transform=mapDef.extensions!==undefined?mapDef.extensions[EXTENSIONS.KHR_TEXTURE_TRANSFORM]:undefined;if(transform){texture=parser.extensions[EXTENSIONS.KHR_TEXTURE_TRANSFORM].extendTexture(texture,transform);}}\n",
       "materialParams[mapName]=texture;});};GLTFParser.prototype.assignFinalMaterial=function(mesh){var geometry=mesh.geometry;var material=mesh.material;var useVertexTangents=geometry.attributes.tangent!==undefined;var useVertexColors=geometry.attributes.color!==undefined;var useFlatShading=geometry.attributes.normal===undefined;var useSkinning=mesh.isSkinnedMesh===true;var useMorphTargets=Object.keys(geometry.morphAttributes).length>0;var useMorphNormals=useMorphTargets&&geometry.morphAttributes.normal!==undefined;if(mesh.isPoints){var cacheKey='PointsMaterial:'+material.uuid;var pointsMaterial=this.cache.get(cacheKey);if(!pointsMaterial){pointsMaterial=new THREE.PointsMaterial();THREE.Material.prototype.copy.call(pointsMaterial,material);pointsMaterial.color.copy(material.color);pointsMaterial.map=material.map;pointsMaterial.sizeAttenuation=false;this.cache.add(cacheKey,pointsMaterial);}\n",
       "material=pointsMaterial;}else if(mesh.isLine){var cacheKey='LineBasicMaterial:'+material.uuid;var lineMaterial=this.cache.get(cacheKey);if(!lineMaterial){lineMaterial=new THREE.LineBasicMaterial();THREE.Material.prototype.copy.call(lineMaterial,material);lineMaterial.color.copy(material.color);this.cache.add(cacheKey,lineMaterial);}\n",
       "material=lineMaterial;}\n",
       "if(useVertexTangents||useVertexColors||useFlatShading||useSkinning||useMorphTargets){var cacheKey='ClonedMaterial:'+material.uuid+':';if(material.isGLTFSpecularGlossinessMaterial)cacheKey+='specular-glossiness:';if(useSkinning)cacheKey+='skinning:';if(useVertexTangents)cacheKey+='vertex-tangents:';if(useVertexColors)cacheKey+='vertex-colors:';if(useFlatShading)cacheKey+='flat-shading:';if(useMorphTargets)cacheKey+='morph-targets:';if(useMorphNormals)cacheKey+='morph-normals:';var cachedMaterial=this.cache.get(cacheKey);if(!cachedMaterial){cachedMaterial=material.clone();if(useSkinning)cachedMaterial.skinning=true;if(useVertexTangents)cachedMaterial.vertexTangents=true;if(useVertexColors)cachedMaterial.vertexColors=true;if(useFlatShading)cachedMaterial.flatShading=true;if(useMorphTargets)cachedMaterial.morphTargets=true;if(useMorphNormals)cachedMaterial.morphNormals=true;this.cache.add(cacheKey,cachedMaterial);}\n",
       "material=cachedMaterial;}\n",
       "if(material.aoMap&&geometry.attributes.uv2===undefined&&geometry.attributes.uv!==undefined){geometry.setAttribute('uv2',new THREE.BufferAttribute(geometry.attributes.uv.array,2));}\n",
       "if(material.normalScale&&!useVertexTangents){material.normalScale.y=-material.normalScale.y;}\n",
       "if(material.clearcoatNormalScale&&!useVertexTangents){material.clearcoatNormalScale.y=-material.clearcoatNormalScale.y;}\n",
       "mesh.material=material;};GLTFParser.prototype.loadMaterial=function(materialIndex){var parser=this;var json=this.json;var extensions=this.extensions;var materialDef=json.materials[materialIndex];var materialType;var materialParams={};var materialExtensions=materialDef.extensions||{};var pending=[];if(materialExtensions[EXTENSIONS.KHR_MATERIALS_PBR_SPECULAR_GLOSSINESS]){var sgExtension=extensions[EXTENSIONS.KHR_MATERIALS_PBR_SPECULAR_GLOSSINESS];materialType=sgExtension.getMaterialType();pending.push(sgExtension.extendParams(materialParams,materialDef,parser));}else if(materialExtensions[EXTENSIONS.KHR_MATERIALS_UNLIT]){var kmuExtension=extensions[EXTENSIONS.KHR_MATERIALS_UNLIT];materialType=kmuExtension.getMaterialType();pending.push(kmuExtension.extendParams(materialParams,materialDef,parser));}else{materialType=THREE.MeshStandardMaterial;var metallicRoughness=materialDef.pbrMetallicRoughness||{};materialParams.color=new THREE.Color(1.0,1.0,1.0);materialParams.opacity=1.0;if(Array.isArray(metallicRoughness.baseColorFactor)){var array=metallicRoughness.baseColorFactor;materialParams.color.fromArray(array);materialParams.opacity=array[3];}\n",
       "if(metallicRoughness.baseColorTexture!==undefined){pending.push(parser.assignTexture(materialParams,'map',metallicRoughness.baseColorTexture));}\n",
       "materialParams.metalness=metallicRoughness.metallicFactor!==undefined?metallicRoughness.metallicFactor:1.0;materialParams.roughness=metallicRoughness.roughnessFactor!==undefined?metallicRoughness.roughnessFactor:1.0;if(metallicRoughness.metallicRoughnessTexture!==undefined){pending.push(parser.assignTexture(materialParams,'metalnessMap',metallicRoughness.metallicRoughnessTexture));pending.push(parser.assignTexture(materialParams,'roughnessMap',metallicRoughness.metallicRoughnessTexture));}}\n",
       "if(materialDef.doubleSided===true){materialParams.side=THREE.DoubleSide;}\n",
       "var alphaMode=materialDef.alphaMode||ALPHA_MODES.OPAQUE;if(alphaMode===ALPHA_MODES.BLEND){materialParams.transparent=true;materialParams.depthWrite=false;}else{materialParams.transparent=false;if(alphaMode===ALPHA_MODES.MASK){materialParams.alphaTest=materialDef.alphaCutoff!==undefined?materialDef.alphaCutoff:0.5;}}\n",
       "if(materialDef.normalTexture!==undefined&&materialType!==THREE.MeshBasicMaterial){pending.push(parser.assignTexture(materialParams,'normalMap',materialDef.normalTexture));materialParams.normalScale=new THREE.Vector2(1,1);if(materialDef.normalTexture.scale!==undefined){materialParams.normalScale.set(materialDef.normalTexture.scale,materialDef.normalTexture.scale);}}\n",
       "if(materialDef.occlusionTexture!==undefined&&materialType!==THREE.MeshBasicMaterial){pending.push(parser.assignTexture(materialParams,'aoMap',materialDef.occlusionTexture));if(materialDef.occlusionTexture.strength!==undefined){materialParams.aoMapIntensity=materialDef.occlusionTexture.strength;}}\n",
       "if(materialDef.emissiveFactor!==undefined&&materialType!==THREE.MeshBasicMaterial){materialParams.emissive=new THREE.Color().fromArray(materialDef.emissiveFactor);}\n",
       "if(materialDef.emissiveTexture!==undefined&&materialType!==THREE.MeshBasicMaterial){pending.push(parser.assignTexture(materialParams,'emissiveMap',materialDef.emissiveTexture));}\n",
       "if(materialExtensions[EXTENSIONS.KHR_MATERIALS_CLEARCOAT]){var clearcoatExtension=extensions[EXTENSIONS.KHR_MATERIALS_CLEARCOAT];materialType=clearcoatExtension.getMaterialType();pending.push(clearcoatExtension.extendParams(materialParams,{extensions:materialExtensions},parser));}\n",
       "return Promise.all(pending).then(function(){var material;if(materialType===GLTFMeshStandardSGMaterial){material=extensions[EXTENSIONS.KHR_MATERIALS_PBR_SPECULAR_GLOSSINESS].createMaterial(materialParams);}else{material=new materialType(materialParams);}\n",
       "if(materialDef.name)material.name=materialDef.name;if(material.map)material.map.encoding=THREE.sRGBEncoding;if(material.emissiveMap)material.emissiveMap.encoding=THREE.sRGBEncoding;assignExtrasToUserData(material,materialDef);if(materialDef.extensions)addUnknownExtensionsToUserData(extensions,material,materialDef);return material;});};function computeBounds(geometry,primitiveDef,parser){var attributes=primitiveDef.attributes;var box=new THREE.Box3();if(attributes.POSITION!==undefined){var accessor=parser.json.accessors[attributes.POSITION];var min=accessor.min;var max=accessor.max;if(min!==undefined&&max!==undefined){box.set(new THREE.Vector3(min[0],min[1],min[2]),new THREE.Vector3(max[0],max[1],max[2]));}else{console.warn('THREE.GLTFLoader: Missing min/max properties for accessor POSITION.');return;}}else{return;}\n",
       "var targets=primitiveDef.targets;if(targets!==undefined){var maxDisplacement=new THREE.Vector3();var vector=new THREE.Vector3();for(var i=0,il=targets.length;i<il;i++){var target=targets[i];if(target.POSITION!==undefined){var accessor=parser.json.accessors[target.POSITION];var min=accessor.min;var max=accessor.max;if(min!==undefined&&max!==undefined){vector.setX(Math.max(Math.abs(min[0]),Math.abs(max[0])));vector.setY(Math.max(Math.abs(min[1]),Math.abs(max[1])));vector.setZ(Math.max(Math.abs(min[2]),Math.abs(max[2])));maxDisplacement.max(vector);}else{console.warn('THREE.GLTFLoader: Missing min/max properties for accessor POSITION.');}}}\n",
       "box.expandByVector(maxDisplacement);}\n",
       "geometry.boundingBox=box;var sphere=new THREE.Sphere();box.getCenter(sphere.center);sphere.radius=box.min.distanceTo(box.max)/2;geometry.boundingSphere=sphere;}\n",
       "function addPrimitiveAttributes(geometry,primitiveDef,parser){var attributes=primitiveDef.attributes;var pending=[];function assignAttributeAccessor(accessorIndex,attributeName){return parser.getDependency('accessor',accessorIndex).then(function(accessor){geometry.setAttribute(attributeName,accessor);});}\n",
       "for(var gltfAttributeName in attributes){var threeAttributeName=ATTRIBUTES[gltfAttributeName]||gltfAttributeName.toLowerCase();if(threeAttributeName in geometry.attributes)continue;pending.push(assignAttributeAccessor(attributes[gltfAttributeName],threeAttributeName));}\n",
       "if(primitiveDef.indices!==undefined&&!geometry.index){var accessor=parser.getDependency('accessor',primitiveDef.indices).then(function(accessor){geometry.setIndex(accessor);});pending.push(accessor);}\n",
       "assignExtrasToUserData(geometry,primitiveDef);computeBounds(geometry,primitiveDef,parser);return Promise.all(pending).then(function(){return primitiveDef.targets!==undefined?addMorphTargets(geometry,primitiveDef.targets,parser):geometry;});}\n",
       "function toTrianglesDrawMode(geometry,drawMode){var index=geometry.getIndex();if(index===null){var indices=[];var position=geometry.getAttribute('position');if(position!==undefined){for(var i=0;i<position.count;i++){indices.push(i);}\n",
       "geometry.setIndex(indices);index=geometry.getIndex();}else{console.error('THREE.GLTFLoader.toTrianglesDrawMode(): Undefined position attribute. Processing not possible.');return geometry;}}\n",
       "var numberOfTriangles=index.count-2;var newIndices=[];if(drawMode===THREE.TriangleFanDrawMode){for(var i=1;i<=numberOfTriangles;i++){newIndices.push(index.getX(0));newIndices.push(index.getX(i));newIndices.push(index.getX(i+1));}}else{for(var i=0;i<numberOfTriangles;i++){if(i%2===0){newIndices.push(index.getX(i));newIndices.push(index.getX(i+1));newIndices.push(index.getX(i+2));}else{newIndices.push(index.getX(i+2));newIndices.push(index.getX(i+1));newIndices.push(index.getX(i));}}}\n",
       "if((newIndices.length/3)!==numberOfTriangles){console.error('THREE.GLTFLoader.toTrianglesDrawMode(): Unable to generate correct amount of triangles.');}\n",
       "var newGeometry=geometry.clone();newGeometry.setIndex(newIndices);return newGeometry;}\n",
       "GLTFParser.prototype.loadGeometries=function(primitives){var parser=this;var extensions=this.extensions;var cache=this.primitiveCache;function createDracoPrimitive(primitive){return extensions[EXTENSIONS.KHR_DRACO_MESH_COMPRESSION].decodePrimitive(primitive,parser).then(function(geometry){return addPrimitiveAttributes(geometry,primitive,parser);});}\n",
       "var pending=[];for(var i=0,il=primitives.length;i<il;i++){var primitive=primitives[i];var cacheKey=createPrimitiveKey(primitive);var cached=cache[cacheKey];if(cached){pending.push(cached.promise);}else{var geometryPromise;if(primitive.extensions&&primitive.extensions[EXTENSIONS.KHR_DRACO_MESH_COMPRESSION]){geometryPromise=createDracoPrimitive(primitive);}else{geometryPromise=addPrimitiveAttributes(new THREE.BufferGeometry(),primitive,parser);}\n",
       "cache[cacheKey]={primitive:primitive,promise:geometryPromise};pending.push(geometryPromise);}}\n",
       "return Promise.all(pending);};GLTFParser.prototype.loadMesh=function(meshIndex){var parser=this;var json=this.json;var meshDef=json.meshes[meshIndex];var primitives=meshDef.primitives;var pending=[];for(var i=0,il=primitives.length;i<il;i++){var material=primitives[i].material===undefined?createDefaultMaterial(this.cache):this.getDependency('material',primitives[i].material);pending.push(material);}\n",
       "pending.push(parser.loadGeometries(primitives));return Promise.all(pending).then(function(results){var materials=results.slice(0,results.length-1);var geometries=results[results.length-1];var meshes=[];for(var i=0,il=geometries.length;i<il;i++){var geometry=geometries[i];var primitive=primitives[i];var mesh;var material=materials[i];if(primitive.mode===WEBGL_CONSTANTS.TRIANGLES||primitive.mode===WEBGL_CONSTANTS.TRIANGLE_STRIP||primitive.mode===WEBGL_CONSTANTS.TRIANGLE_FAN||primitive.mode===undefined){mesh=meshDef.isSkinnedMesh===true?new THREE.SkinnedMesh(geometry,material):new THREE.Mesh(geometry,material);if(mesh.isSkinnedMesh===true&&!mesh.geometry.attributes.skinWeight.normalized){mesh.normalizeSkinWeights();}\n",
       "if(primitive.mode===WEBGL_CONSTANTS.TRIANGLE_STRIP){mesh.geometry=toTrianglesDrawMode(mesh.geometry,THREE.TriangleStripDrawMode);}else if(primitive.mode===WEBGL_CONSTANTS.TRIANGLE_FAN){mesh.geometry=toTrianglesDrawMode(mesh.geometry,THREE.TriangleFanDrawMode);}}else if(primitive.mode===WEBGL_CONSTANTS.LINES){mesh=new THREE.LineSegments(geometry,material);}else if(primitive.mode===WEBGL_CONSTANTS.LINE_STRIP){mesh=new THREE.Line(geometry,material);}else if(primitive.mode===WEBGL_CONSTANTS.LINE_LOOP){mesh=new THREE.LineLoop(geometry,material);}else if(primitive.mode===WEBGL_CONSTANTS.POINTS){mesh=new THREE.Points(geometry,material);}else{throw new Error('THREE.GLTFLoader: Primitive mode unsupported: '+primitive.mode);}\n",
       "if(Object.keys(mesh.geometry.morphAttributes).length>0){updateMorphTargets(mesh,meshDef);}\n",
       "mesh.name=meshDef.name||('mesh_'+meshIndex);if(geometries.length>1)mesh.name+='_'+i;assignExtrasToUserData(mesh,meshDef);parser.assignFinalMaterial(mesh);meshes.push(mesh);}\n",
       "if(meshes.length===1){return meshes[0];}\n",
       "var group=new THREE.Group();for(var i=0,il=meshes.length;i<il;i++){group.add(meshes[i]);}\n",
       "return group;});};GLTFParser.prototype.loadCamera=function(cameraIndex){var camera;var cameraDef=this.json.cameras[cameraIndex];var params=cameraDef[cameraDef.type];if(!params){console.warn('THREE.GLTFLoader: Missing camera parameters.');return;}\n",
       "if(cameraDef.type==='perspective'){camera=new THREE.PerspectiveCamera(THREE.MathUtils.radToDeg(params.yfov),params.aspectRatio||1,params.znear||1,params.zfar||2e6);}else if(cameraDef.type==='orthographic'){camera=new THREE.OrthographicCamera(params.xmag/-2,params.xmag/2,params.ymag/2,params.ymag/-2,params.znear,params.zfar);}\n",
       "if(cameraDef.name)camera.name=cameraDef.name;assignExtrasToUserData(camera,cameraDef);return Promise.resolve(camera);};GLTFParser.prototype.loadSkin=function(skinIndex){var skinDef=this.json.skins[skinIndex];var skinEntry={joints:skinDef.joints};if(skinDef.inverseBindMatrices===undefined){return Promise.resolve(skinEntry);}\n",
       "return this.getDependency('accessor',skinDef.inverseBindMatrices).then(function(accessor){skinEntry.inverseBindMatrices=accessor;return skinEntry;});};GLTFParser.prototype.loadAnimation=function(animationIndex){var json=this.json;var animationDef=json.animations[animationIndex];var pendingNodes=[];var pendingInputAccessors=[];var pendingOutputAccessors=[];var pendingSamplers=[];var pendingTargets=[];for(var i=0,il=animationDef.channels.length;i<il;i++){var channel=animationDef.channels[i];var sampler=animationDef.samplers[channel.sampler];var target=channel.target;var name=target.node!==undefined?target.node:target.id;var input=animationDef.parameters!==undefined?animationDef.parameters[sampler.input]:sampler.input;var output=animationDef.parameters!==undefined?animationDef.parameters[sampler.output]:sampler.output;pendingNodes.push(this.getDependency('node',name));pendingInputAccessors.push(this.getDependency('accessor',input));pendingOutputAccessors.push(this.getDependency('accessor',output));pendingSamplers.push(sampler);pendingTargets.push(target);}\n",
       "return Promise.all([Promise.all(pendingNodes),Promise.all(pendingInputAccessors),Promise.all(pendingOutputAccessors),Promise.all(pendingSamplers),Promise.all(pendingTargets)]).then(function(dependencies){var nodes=dependencies[0];var inputAccessors=dependencies[1];var outputAccessors=dependencies[2];var samplers=dependencies[3];var targets=dependencies[4];var tracks=[];for(var i=0,il=nodes.length;i<il;i++){var node=nodes[i];var inputAccessor=inputAccessors[i];var outputAccessor=outputAccessors[i];var sampler=samplers[i];var target=targets[i];if(node===undefined)continue;node.updateMatrix();node.matrixAutoUpdate=true;var TypedKeyframeTrack;switch(PATH_PROPERTIES[target.path]){case PATH_PROPERTIES.weights:TypedKeyframeTrack=THREE.NumberKeyframeTrack;break;case PATH_PROPERTIES.rotation:TypedKeyframeTrack=THREE.QuaternionKeyframeTrack;break;case PATH_PROPERTIES.position:case PATH_PROPERTIES.scale:default:TypedKeyframeTrack=THREE.VectorKeyframeTrack;break;}\n",
       "var targetName=node.name?node.name:node.uuid;var interpolation=sampler.interpolation!==undefined?INTERPOLATION[sampler.interpolation]:THREE.InterpolateLinear;var targetNames=[];if(PATH_PROPERTIES[target.path]===PATH_PROPERTIES.weights){node.traverse(function(object){if(object.isMesh===true&&object.morphTargetInfluences){targetNames.push(object.name?object.name:object.uuid);}});}else{targetNames.push(targetName);}\n",
       "var outputArray=outputAccessor.array;if(outputAccessor.normalized){var scale;if(outputArray.constructor===Int8Array){scale=1/127;}else if(outputArray.constructor===Uint8Array){scale=1/255;}else if(outputArray.constructor==Int16Array){scale=1/32767;}else if(outputArray.constructor===Uint16Array){scale=1/65535;}else{throw new Error('THREE.GLTFLoader: Unsupported output accessor component type.');}\n",
       "var scaled=new Float32Array(outputArray.length);for(var j=0,jl=outputArray.length;j<jl;j++){scaled[j]=outputArray[j]*scale;}\n",
       "outputArray=scaled;}\n",
       "for(var j=0,jl=targetNames.length;j<jl;j++){var track=new TypedKeyframeTrack(targetNames[j]+'.'+PATH_PROPERTIES[target.path],inputAccessor.array,outputArray,interpolation);if(sampler.interpolation==='CUBICSPLINE'){track.createInterpolant=function InterpolantFactoryMethodGLTFCubicSpline(result){return new GLTFCubicSplineInterpolant(this.times,this.values,this.getValueSize()/3,result);};track.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline=true;}\n",
       "tracks.push(track);}}\n",
       "var name=animationDef.name?animationDef.name:'animation_'+animationIndex;return new THREE.AnimationClip(name,undefined,tracks);});};GLTFParser.prototype.loadNode=function(nodeIndex){var json=this.json;var extensions=this.extensions;var parser=this;var meshReferences=json.meshReferences;var meshUses=json.meshUses;var nodeDef=json.nodes[nodeIndex];return(function(){var pending=[];if(nodeDef.mesh!==undefined){pending.push(parser.getDependency('mesh',nodeDef.mesh).then(function(mesh){var node;if(meshReferences[nodeDef.mesh]>1){var instanceNum=meshUses[nodeDef.mesh]++;node=mesh.clone();node.name+='_instance_'+instanceNum;}else{node=mesh;}\n",
       "if(nodeDef.weights!==undefined){node.traverse(function(o){if(!o.isMesh)return;for(var i=0,il=nodeDef.weights.length;i<il;i++){o.morphTargetInfluences[i]=nodeDef.weights[i];}});}\n",
       "return node;}));}\n",
       "if(nodeDef.camera!==undefined){pending.push(parser.getDependency('camera',nodeDef.camera));}\n",
       "if(nodeDef.extensions&&nodeDef.extensions[EXTENSIONS.KHR_LIGHTS_PUNCTUAL]&&nodeDef.extensions[EXTENSIONS.KHR_LIGHTS_PUNCTUAL].light!==undefined){pending.push(parser.getDependency('light',nodeDef.extensions[EXTENSIONS.KHR_LIGHTS_PUNCTUAL].light));}\n",
       "return Promise.all(pending);}()).then(function(objects){var node;if(nodeDef.isBone===true){node=new THREE.Bone();}else if(objects.length>1){node=new THREE.Group();}else if(objects.length===1){node=objects[0];}else{node=new THREE.Object3D();}\n",
       "if(node!==objects[0]){for(var i=0,il=objects.length;i<il;i++){node.add(objects[i]);}}\n",
       "if(nodeDef.name){node.userData.name=nodeDef.name;node.name=THREE.PropertyBinding.sanitizeNodeName(nodeDef.name);}\n",
       "assignExtrasToUserData(node,nodeDef);if(nodeDef.extensions)addUnknownExtensionsToUserData(extensions,node,nodeDef);if(nodeDef.matrix!==undefined){var matrix=new THREE.Matrix4();matrix.fromArray(nodeDef.matrix);node.applyMatrix4(matrix);}else{if(nodeDef.translation!==undefined){node.position.fromArray(nodeDef.translation);}\n",
       "if(nodeDef.rotation!==undefined){node.quaternion.fromArray(nodeDef.rotation);}\n",
       "if(nodeDef.scale!==undefined){node.scale.fromArray(nodeDef.scale);}}\n",
       "return node;});};GLTFParser.prototype.loadScene=function(){function buildNodeHierachy(nodeId,parentObject,json,parser){var nodeDef=json.nodes[nodeId];return parser.getDependency('node',nodeId).then(function(node){if(nodeDef.skin===undefined)return node;var skinEntry;return parser.getDependency('skin',nodeDef.skin).then(function(skin){skinEntry=skin;var pendingJoints=[];for(var i=0,il=skinEntry.joints.length;i<il;i++){pendingJoints.push(parser.getDependency('node',skinEntry.joints[i]));}\n",
       "return Promise.all(pendingJoints);}).then(function(jointNodes){node.traverse(function(mesh){if(!mesh.isMesh)return;var bones=[];var boneInverses=[];for(var j=0,jl=jointNodes.length;j<jl;j++){var jointNode=jointNodes[j];if(jointNode){bones.push(jointNode);var mat=new THREE.Matrix4();if(skinEntry.inverseBindMatrices!==undefined){mat.fromArray(skinEntry.inverseBindMatrices.array,j*16);}\n",
       "boneInverses.push(mat);}else{console.warn('THREE.GLTFLoader: Joint &quot;%s&quot; could not be found.',skinEntry.joints[j]);}}\n",
       "mesh.bind(new THREE.Skeleton(bones,boneInverses),mesh.matrixWorld);});return node;});}).then(function(node){parentObject.add(node);var pending=[];if(nodeDef.children){var children=nodeDef.children;for(var i=0,il=children.length;i<il;i++){var child=children[i];pending.push(buildNodeHierachy(child,node,json,parser));}}\n",
       "return Promise.all(pending);});}\n",
       "return function loadScene(sceneIndex){var json=this.json;var extensions=this.extensions;var sceneDef=this.json.scenes[sceneIndex];var parser=this;var scene=new THREE.Group();if(sceneDef.name)scene.name=sceneDef.name;assignExtrasToUserData(scene,sceneDef);if(sceneDef.extensions)addUnknownExtensionsToUserData(extensions,scene,sceneDef);var nodeIds=sceneDef.nodes||[];var pending=[];for(var i=0,il=nodeIds.length;i<il;i++){pending.push(buildNodeHierachy(nodeIds[i],scene,json,parser));}\n",
       "return Promise.all(pending).then(function(){return scene;});};}();return GLTFLoader;})();var camera,controls,scene,renderer,tracklight;function autoFit(obj,camera,controls){const boundingBox=new THREE.Box3().setFromObject(obj);const boundingSphere=new THREE.Sphere();boundingBox.getBoundingSphere((target=boundingSphere));const scale=1.0;const angularSize=((camera.fov*Math.PI)/180)*scale;const distanceToCamera=boundingSphere.radius/Math.tan(angularSize);const len=Math.sqrt(Math.pow(distanceToCamera,2)+\n",
       "Math.pow(distanceToCamera,2)+\n",
       "Math.pow(distanceToCamera,2));camera.position.set(len,len,len);controls.update();camera.lookAt(boundingSphere.center);controls.target.set(boundingSphere.center.x,boundingSphere.center.y,boundingSphere.center.z);camera.updateProjectionMatrix();}\n",
       "function centerControls(obj,camera,controls){const boundingBox=new THREE.Box3().setFromObject(obj);const boundingSphere=new THREE.Sphere();boundingBox.getBoundingSphere((target=boundingSphere));controls.update();controls.target.set(boundingSphere.center.x,boundingSphere.center.y,boundingSphere.center.z);}\n",
       "function init(){scene=new THREE.Scene();scene.background=new THREE.Color(0xffffff);tracklight=new THREE.DirectionalLight(0xffffff,1.75);scene.add(tracklight);base64_data=&quot;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&quot;;;renderer=new THREE.WebGLRenderer({antialias:true});renderer.setPixelRatio(window.devicePixelRatio);renderer.setSize(window.innerWidth,window.innerHeight);document.body.appendChild(renderer.domElement);loader=new THREE.GLTFLoader();loader.load(&quot;data:text/plain;base64,&quot;+base64_data,function(gltf){scene.add(gltf.scene);camera=gltf.cameras[0];controls=new THREE.TrackballControls(camera,renderer.domElement);controls.rotateSpeed=1.0;controls.zoomSpeed=1.2;controls.panSpeed=0.8;controls.noZoom=false;controls.noPan=false;controls.staticMoving=true;controls.dynamicDampingFactor=0.3;controls.keys=[65,83,68];controls.addEventListener(&quot;change&quot;,render);centerControls(scene,camera,controls);render();window.addEventListener(&quot;resize&quot;,onWindowResize,false);animate();onWindowResize();});}\n",
       "function onWindowResize(){camera.aspect=window.innerWidth/window.innerHeight;camera.updateProjectionMatrix();renderer.setSize(window.innerWidth,window.innerHeight);controls.handleResize();render();}\n",
       "function animate(){requestAnimationFrame(animate);controls.update();}\n",
       "function render(){tracklight.position.copy(camera.position);renderer.render(scene,camera);}\n",
       "init();</script></body>\n",
       "</html>\" width=\"100%\" height=\"500px\" style=\"border:none;\"></iframe></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_cams = [hoho.Rt_to_eye_target(human_entry['ade20k'][0], to_K(*human_entry['cameras'][1].params), quaternion_to_rotation_matrix(colmap_img.qvec), colmap_img.tvec) for colmap_img in human_entry['images'].values()]\n",
    "eye, target, up, fov = col_cams[0]\n",
    "\n",
    "cameras, images, points3D = human_entry['cameras'], human_entry['images'], human_entry['points3d']\n",
    "colmap_cameras_tf = list(human_entry['images'].keys())\n",
    "\n",
    "xyz = np.stack([p.xyz for p in points3D.values()])\n",
    "color = np.stack([p.rgb for p in points3D.values()])\n",
    "pcd = trimesh.Scene([trimesh.PointCloud(vertices=xyz, colors=color)])\n",
    "\n",
    "V, E = human_entry['wf_vertices'], human_entry['wf_edges']\n",
    "wf = vis.show_wf(human_entry)\n",
    "\n",
    "ax = [line((0,0,0), 1200*b, c=255*b, radius=15) for b in np.eye(3)]\n",
    "\n",
    "u = trimesh.Trimesh(vertices=human_entry['mesh_vertices'] , faces=human_entry['mesh_faces'][:, 1:])\n",
    "\n",
    "cams = trimesh.Scene([line(eye, (eye + 200*(target - eye)), radius=6) for eye, target, up, fov in itertools.starmap(hoho.Rt_to_eye_target, zip(*[human_entry[k] for k in 'ade20k K R t'.split()]))])\n",
    "cams_colmap = trimesh.Scene([line(eye, (eye + 200*(target - eye)), radius=6, c=(0,0,255)) for eye, target, up, fov in col_cams])\n",
    "\n",
    "gestalt_camcet = np.stack([eye for eye, target, up, fov in itertools.starmap(hoho.Rt_to_eye_target, zip(*[human_entry[k] for k in 'ade20k K R t'.split()]))])\n",
    "col_camcet = np.stack([eye for eye, target, up, fov in col_cams])\n",
    "gestalt_to_colmap_cams = [colmap_cameras_tf[np.argmin(((gcam - col_camcet)**2).sum(1)**0.5)] for gcam in gestalt_camcet]\n",
    "broken_cams = np.array([np.min(((gcam - col_camcet)**2).sum(1)**0.5) for gcam in gestalt_camcet]) > 300\n",
    "\n",
    "trimesh.Scene([\n",
    "        # u,\n",
    "        # ax,\n",
    "        cams,\n",
    "        cams_colmap,\n",
    "        pcd,\n",
    "        *wf\n",
    "    ]).show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c34d638a-b18d-42de-983b-56217d881e5c",
   "metadata": {},
   "source": [
    "Some additional visualizations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "e08c7ddf-6a0c-4b9c-93d0-25e114cdbe20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fd5300c8e50>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ki = 2\n",
    "clr_th = 2.5\n",
    "\n",
    "gest = np.array(human_entry['gestalt'][ki])\n",
    "apex_color = np.array(gestalt_color_mapping['apex'])\n",
    "apex_mask = cv2.inRange(gest,  apex_color-clr_th, apex_color+clr_th)\n",
    "eave_end_color = np.array(gestalt_color_mapping['eave_end_point'])\n",
    "eave_end_mask = cv2.inRange(gest,  eave_end_color-clr_th, eave_end_color+clr_th)\n",
    "vert_mask = apex_mask + eave_end_mask\n",
    "# vert_mask = cv2.dilate(vert_mask, np.ones((5,5)), iterations = 7)\n",
    "vert_mask = (vert_mask > 0).astype(np.uint8)\n",
    "\n",
    "\n",
    "dist = cv2.distanceTransform(1-vert_mask, cv2.DIST_L2, 3)\n",
    "dist[dist > 100] = 100\n",
    "ndist = np.zeros_like(dist)\n",
    "ndist = cv2.normalize(dist, ndist, 0, 1.0, cv2.NORM_MINMAX)\n",
    "\n",
    "plt.imshow(np.array(human_entry['gestalt'][ki]))\n",
    "plt.figure()\n",
    "plt.imshow(ndist, cmap='gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5e27f4c6-c2e5-4ffd-89fb-9c25a13163ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fd53006f850>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "device = 'cuda:0'\n",
    "height = cameras[1].height\n",
    "width = cameras[1].width\n",
    "N = len(gestalt_to_colmap_cams)\n",
    "cki = gestalt_to_colmap_cams[ki]\n",
    "\n",
    "# K, R, T = human_entry['K'], human_entry['R'], human_entry['t']\n",
    "K = to_K(*human_entry['cameras'][1].params)[None].repeat(N, 0)\n",
    "R = np.stack([quaternion_to_rotation_matrix(human_entry['images'][gestalt_to_colmap_cams[ind]].qvec) for ind in range(N)])\n",
    "T = np.stack([human_entry['images'][gestalt_to_colmap_cams[ind]].tvec for ind in range(N)])\n",
    "\n",
    "R = np.linalg.inv(R)\n",
    "image_size=torch.Tensor([height, width]).repeat(N, 1)\n",
    "\n",
    "verts = torch.from_numpy(xyz.astype(np.float32)).to(device)\n",
    "clrs = torch.from_numpy(color.astype(np.float32)).to(device)\n",
    "point_cloud = Pointclouds(points=[verts], features=[clrs])\n",
    "\n",
    "pyt_cameras = PerspectiveCameras(device=device, R=R, T=T, in_ndc=False, focal_length=K[:, 0, :1], principal_point=K[:, :2, 2], image_size=image_size)\n",
    "raster_settings = PointsRasterizationSettings(\n",
    "    image_size=[height, width], \n",
    "    radius = 0.02,\n",
    "    points_per_pixel = 10\n",
    ")\n",
    "\n",
    "renderer = PointsRenderer(\n",
    "    rasterizer=PointsRasterizer(cameras=pyt_cameras[ki], raster_settings=raster_settings),\n",
    "    compositor=NormWeightedCompositor()\n",
    ")\n",
    "images = renderer(point_cloud)\n",
    "\n",
    "in_this_image = np.array([cki in p.image_ids for p in points3D.values()])\n",
    "uv = torch.round(pyt_cameras[ki].transform_points(verts)[:, :2]).cpu().numpy().astype(int)\n",
    "uv_inl = (uv[:, 0] >= 0) * (uv[:, 1] >= 0) * (uv[:, 0] < width) * (uv[:, 1] < height) * in_this_image\n",
    "uv = uv[uv_inl]\n",
    "uv_clrs = clrs[uv_inl].cpu().numpy() / 255\n",
    "\n",
    "vert_inl = dist[uv[:,1], uv[:,0]] < 20\n",
    "vert_uv = uv[vert_inl]\n",
    "vert_uv_clrs = uv_clrs[vert_inl]\n",
    "\n",
    "plt.figure()\n",
    "plt.imshow(gest)\n",
    "# plt.imshow(images[0].cpu().numpy()[::-1,::-1]/255)\n",
    "plt.scatter(uv[:, 0], uv[:, 1], c=uv_clrs)\n",
    "\n",
    "plt.figure()\n",
    "plt.imshow(gest)\n",
    "plt.scatter(vert_uv[:, 0], vert_uv[:, 1], c=vert_uv_clrs)\n",
    "# plt.scatter(uv[:, 0], uv[:, 1], c=uv_clrs)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ee1ef610-3584-443f-adfc-29fd28b23d85",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "39fbcca8-0923-486e-8b01-2c096ac01f17",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.19"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}