[
  {
    "path": ".gitattributes",
    "content": "# Auto detect text files and perform LF normalization\n* text=auto\n"
  },
  {
    "path": ".gitignore",
    "content": "*.zip\nnode_modules\n"
  },
  {
    "path": "README.md",
    "content": "# W\nA micro WebGL2 framework with a ton of features\n\nhttps://xem.github.io/W\n\nlicense: public domain\n\nInstall via NPM with `npm install https://github.com/xem/W/#semver:1.0.2`\n\n## Building\n\nTo build the project, first make sure to install the projects dependencies:\n```sh\nnpm install\n```\n\nThen run the build script like shown below, and artifacts will appear in the `dist` folder:\n```sh\nnpm run build\n```\n\n## Release policy\n\nThis project follows [semantic versioning](https://semver.org).\n\nRelease files will be located in the `dist` folder.\nFiles with a version number in their file name, will only receive backwards compatible updates.\nAny time a breaking change is introduced, a new pair of files is created in the `dist` folder, with the new major version name.\n\nThe files without version number are rolling release.\nThey are minified versions of `src/w.js`, and must always be kept in sync when changes are made.\n\nThe files `w.js`, `w.min.full.js` and `w.min.lite.js` are legacy artifacts, and should not be used.\n"
  },
  {
    "path": "build.mjs",
    "content": "import { execFile } from 'node:child_process';\nimport fs from \"node:fs/promises\";\nimport { minify } from \"terser\";\nimport ect from \"ect-bin\";\n\n// Current latest version\nconst version = \"1.0\";\n\n// List of all available plugins and their names\nconst availablePlugins = [\n    // Enables shader compilation logs\n    \"debug\",\n\n    // Enables code for calculation of smooth normals\n    \"smooth\",\n\n    // Enables the built-in shapes\n    \"builtinShapes\",\n];\n\n// Minifies any shader source code found in the src string\nfunction minifyFileShaders(src) {\n    for (const shaderOld of src.match(/\"#version 300 es[^\"]*\"/g)) {\n        let shader = shaderOld;\n\n        // Remove comments and newlines\n        shader = shader.replace(/(\\/\\/.*?)?\\\\n/g, \" \");\n\n        // Remove any unneeded whitespace\n        // Run these twice, to catch one-width character sequences\n        for (let i = 0; i < 2; i++) {\n            shader = shader.\n                replace(/([\\w\\.])\\s+([\\w\\.])/g, \"$1 $2\").\n                replace(/([\\w\\.])\\s+([^\\w\\.])/g, \"$1$2\").\n                replace(/([^\\w\\.])\\s+([\\w\\.])/g, \"$1$2\").\n                replace(/([^\\w\\.])\\s+([^\\w\\.])/g, \"$1$2\");\n        }\n\n        // Re-add newline after #version directive\n        shader = shader.replace(/(#version 300 es)\\s+/, \"$1\\\\n\");\n\n        // Finally, replace shader source with new minified version\n        src = src.replace(shaderOld, shader);\n    }\n\n    // Return modified js source\n    return src;\n}\n\n// Main build function\nasync function buildW(editionName, plugins = []) {\n\n    // Build output filenames\n    const outFnameJs = `./dist/w.${editionName}.min.js`;\n    const outFnameZip = `./dist/w.${editionName}.min.zip`;\n    const outFnameVersionedJs = `./dist/w${version}.${editionName}.min.js`;\n\n    // Add plugin states to a map\n    const pluginsObj = {};\n    for (const pluginName of availablePlugins) {\n        pluginsObj[`W.plugin.${pluginName}`] = plugins.includes(pluginName);\n    }\n    \n    // Read W source file\n    const wSrc = (await fs.readFile(\"./src/w.js\")).toString();\n\n    // Run terser with provided flags\n    const tersed = await minify(wSrc, {\n        mangle: true,\n        compress: {\n            passes: 2,\n            global_defs: {\n                \"W.built\": true,\n                ...pluginsObj,\n            },\n        },\n    });\n\n    // Minify any shaders hanging about\n    const code = minifyFileShaders(tersed.code);\n\n    // Write .js file to file system\n    await fs.writeFile(outFnameJs, code);\n    await fs.writeFile(outFnameVersionedJs, code);\n\n    // Remove existing .zip, to avoid ect throwing errors\n    try {\n        await fs.unlink(outFnameZip);\n    } catch (err) {\n    }\n\n    // Put the .js file into a .zip using ect\n    await new Promise((resolve, reject) => {\n        execFile(ect, [\"-9\", \"-strip\", \"-zip\", outFnameZip, outFnameJs], (err, stdout) => {\n            if (err) reject(stdout);\n            else resolve();\n        });\n    })\n}\n\n// Define plugins for the different versions\nconst versionConfigs = {\n    \"full\": [\"smooth\", \"builtinShapes\"],\n    \"lite\": [],\n};\n\n// Build the different versions\nfor (const [edition, plugins] of Object.entries(versionConfigs)) {\n    await buildW(edition, plugins);\n}\n\n// Print file sizes\nconsole.log(`w.full.min.js:  ${(await fs.stat(\"./dist/w.full.min.js\")).size} bytes`);\nconsole.log(`w.lite.min.js:  ${(await fs.stat(\"./dist/w.lite.min.js\")).size} bytes`);\nconsole.log(`w.full.min.zip: ${(await fs.stat(\"./dist/w.full.min.zip\")).size} bytes`);\nconsole.log(`w.lite.min.zip: ${(await fs.stat(\"./dist/w.lite.min.zip\")).size} bytes`);\n"
  },
  {
    "path": "demos/1.html",
    "content": "<!doctype html>\n<script src='../src/w.js'></script>\n<script src=\"jscolor.js\"></script>\n<table>\n<tr>\n<td>\n<canvas id=c width=450 height=430></canvas>\n<div style=\"font:25px arial;color:red;position:fixed;top:280px;left:370px\">X</div>\n<div style=\"font:25px arial;color:green;position:fixed;top:45px;left:155px\">Y</div>\n<div style=\"font:25px arial;color:blue;position:fixed;top:385px;left:25px\">Z</div>\n<div style=\"font:25px arial;color:black;position:fixed;top:310px;left:170px\">0</div>\n<!--div style=\"font:20px arial;color:#dd0;position:fixed;top:60px;left:450px\">light</div-->\n\n<td>\n\n<pre class=language-js><code id=code>W.reset(canvas);\nW.camera({x:0,y:0,z:0});\nW.light({x:0,y:-1,z:0});\nW.ambient(0.2);\nW.clearColor(\"#FFFFFF\");</code></pre>\n\n<p><b>Camera</b>\n<p>\n<span class=a>x</span> <input type=range id=cx min=-10 max=10 value=0> \n<span class=a>y</span> <input type=range id=cy min=-10 max=10 value=0>\n<span class=a>z</span> <input type=range id=cz min=-10 max=10 value=0>\n<br>\n<span class=a>rx</span> <input type=range id=crx min=-90 max=90 value=0>\n<span class=a>ry</span> <input type=range id=cry min=-90 max=90 value=0>\n<span class=a>rz</span> <input type=range id=crz min=-90 max=90 value=0>\n<br>\nfov &nbsp; <input type=range id=fov min=10 max=50 value=30 step=1>\n<p><b>Directional light</b>\n<p>\n<span class=a>x</span> <input type=range id=lx min=-1 max=1 value=0 step=.01>\n<span class=a>y</span> <input type=range id=ly min=-1 max=1 value=-1 step=.01>\n<span class=a>z</span> <input type=range id=lz min=-1 max=1 value=0 step=.01>\n<br>\n<p><b>Ambient light</b> \n<p>\n<input type=range id=a min=0 max=1 value=.2 step=.01>\n<br>\n<p><b>Clear color</b>\n<p><input id=clear value=\"#ffffff\" data-jscolor=\"{}\">\n</table>\n\n<script>\n\nonload = () => {\n  W.reset(c);\n  W.camera({x:9,y:8,z:20,rx:-13,ry:15});\n  W.cube({x:5,w:10,h:.5,d:.5,b:\"f44\"});\n  W.cube({y:5,h:10,w:.5,d:.5,b:\"4f4\"});\n  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  },
  {
    "path": "demos/2.html",
    "content": "<!doctype html>\n<img src='brick.png' id=brick hidden>\n<img src='tree.png' id=tree hidden>\n<script src='../src/w.js'></script>\n<script src=\"jscolor.js\"></script>\n<table>\n<tr>\n<td>\n<canvas id=c2 width=360 height=410></canvas>\n\n<td>\n\n<pre class=language-js><code id=code>W.group({n:\"G\"});\nW.plane({g:\"G\",x:-1,y:1});\nW.billboard({g:\"G\",x:1,y:1});\nW.cube({g:\"G\",x:-1.5,y:-1});\nW.pyramid({g:\"G\",x:0,y:-1});\nW.sphere({g:\"G\",x:1.5,y:-1});</code></pre>\n<p>\n<div hidden>\n<b>Group settings</b>\n<p>\nry: <input type=range id=gry min=-90 max=90 value=0 step=\"1\" readonly>\n</div>\n<p>\n<b>Settings</b>\n<p>\nSize: <input type=range id=size min=.1 max=2 value=1 step=\".01\">\n<p>\nrx: <input type=range id=rx min=-180 max=180 value=0 step=\"1\">\n<p>\n<b>Background</b>\n<p>\n<label><input type=checkbox id=cbb> Color: </label>&nbsp; <input size=2 id=c value=\"#113366ff\" data-jscolor=\"{}\">\n<p><label><input type=checkbox id=cbt> Texture: </label><input type=radio id=t1 name=b checked>brick</label> <label><input type=radio id=t2 name=b>tree\n<p>Mix: <input type=range id=mix min=0 max=1 value=1 step=\".01\" disabled>\n<p>\n<b>Rendering</b>\n<p> \nDraw mode: <label><input type=radio id=tri name=mode checked> TRIANGLES</label> <label><input type=radio id=line name=mode> LINE_LOOP</label>\n<p>\nShading: <label><input type=radio name=shading id=auto checked>Auto (flat)</label>\n<label><input type=radio name=shading id=sm>Smooth</label>\n<label><input type=radio name=shading id=ns>None</label>\n\n\n</table>\n\n<script>\nonload = () => {\n  W.reset(c2);\n  W.group({n:\"g\"});\n  W.camera({z:5});\n  W.light({z:-1});\n  W.plane({g:\"g\",n:\"a\",x:-1,y:1});\n  W.billboard({g:\"g\",n:\"b\",x:1,y:1});\n  W.cube({g:\"g\",n:\"c\",x:-1.5,y:-1});\n  W.pyramid({g:\"g\",n:\"d\",x:0,y:-1});\n  W.sphere({g:\"g\",n:\"e\",x:1.5,y:-1});\n  \n  t=0;\n  setInterval(()=>{\n    W.move({n:\"g\",ry:gry.value=Math.sin(t/100)*55});\n    \n     html = `\\\nW.group({n:\"G\",ry:${gry.value}});\nW.plane({g:\"G\",x:-1,y:1${size.value != 1 ? 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(\",t:brick\") : \"\"}${cbt.checked && t2.checked ? (\",t:tree\") : \"\"}${cbb.checked && cbt.checked ? \",mix:\"+mix.value : \"\"}${tri.checked ? \"\" : \",mode:2\"}${ns.checked ? \",ns:1\" : \"\"}${sm.checked ? 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  {
    "path": "demos/4.html",
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display: inline-block; }\ncanvas { border: 2px solid #000; border-right-width: 4px; }\n</style>\n\n\n<style>\n/* PrismJS 1.25.0\nhttps://prismjs.com/download.html#themes=prism&languages=markup+css+clike+javascript */\ncode[class*=language-],pre[class*=language-]{color:#000;background:0 0;text-shadow:0 1px #fff;font-family:Consolas,Monaco,'Andale Mono','Ubuntu Mono',monospace;font-size:1em;text-align:left;white-space:pre;word-spacing:normal;word-break:normal;word-wrap:normal;line-height:1.5;-moz-tab-size:4;-o-tab-size:4;tab-size:4;-webkit-hyphens:none;-moz-hyphens:none;-ms-hyphens:none;hyphens:none}code[class*=language-] ::-moz-selection,code[class*=language-]::-moz-selection,pre[class*=language-] ::-moz-selection,pre[class*=language-]::-moz-selection{text-shadow:none;background:#b3d4fc}code[class*=language-] ::selection,code[class*=language-]::selection,pre[class*=language-] ::selection,pre[class*=language-]::selection{text-shadow:none;background:#b3d4fc}@media 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    "path": "demos/6.html",
    "content": "<!doctype html>\n<img src='mario.png' id=mario hidden>\n<img src='brick.png' id=brick hidden>\n<script src='../src/w.js'></script>\n<script src=\"jscolor.js\"></script>\n<table width=850>\n<tr>\n<td width=320>\n<canvas id=c6 width=320 height=280></canvas>\n<table style=\"text-align:center;margin:10px auto 0\">\n<tr>\n<td colspan=2>\n<button id=u>up</button>\n<tr>\n<td>\n<button id=l>left</button>\n<td>\n<button id=r>right</button>\n<tr>\n<td colspan=2>\n<button id=d>down</button>\n</table>\n<td>\n\n<pre class=language-js><code id=code>keys = {u:0, l:0, r:0, d:0};\nW.camera({z:2});\nW.light({z:-.5});\nW.cube({n:\"cube\", b:\"5af\"});\nt = new DOMMatrix();\nonmousedown = e => keys[e.target.id] = 1;\nonmouseup = e => keys[e.target.id] = 0;\nsetInterval(()=>{\n  let axis = new DOMPoint(\n    rx = keys.d - keys.u,\n    ry = keys.r - keys.l,\n    0\n  );\n  let newAxis = axis.matrixTransform((new DOMMatrix(t)).invertSelf());\n  t.rotateAxisAngleSelf(\n    newAxis.x, newAxis.y, newAxis.z, Math.hypot(rx, ry) * 2\n  );\n  W.move({n:\"cube\", M: t});\n}, 16);</code></pre>\n\n</table>\n\n<script>\n\nonload = () => {\n  keys = {u:0, l:0, r:0, d:0};\n  W.reset(c6);\n  W.camera({z:2});\n  W.light({x:.5,y:.5,z:-.5});\n  W.cube({n:\"cube\", b:\"5af\"});\n  t = new DOMMatrix();\n  \n  onmousedown = e => {\n    keys[e.target.id] = 1;\n  }\n  \n  onmouseup = e => {\n    keys[e.target.id] = 0;\n  }\n  \n  setInterval(()=>{\n    let axis = new DOMPoint(rx = keys.d - keys.u, ry = keys.r - keys.l, 0);\n    let newAxis = axis.matrixTransform((new DOMMatrix(t)).invertSelf());\n    t.rotateAxisAngleSelf(newAxis.x, newAxis.y, newAxis.z, Math.hypot(rx, ry) * 2);\n    W.move({n:\"cube\", M: t});\n  }, 16);\n}\n\n</script>\n\n<style>\nbody { font-family: calibri; font-size: 12px; margin: 0; }\npre { background: #eee; padding: 8px !important; display: block; width:465px; overflow-x: auto; margin: 0 0 20px 0 !important;  border: 2px solid #000; border-right-width: 4px; 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  },
  {
    "path": "demos/8.html",
    "content": "<!doctype html>\n<img src='mario.png' id=mario hidden>\n<img src='tree.png' id=tree hidden>\n<script src='../src/w.js'></script>\n<script src='mario.js'></script>\n<script src=\"jscolor.js\"></script>\n<table width=850>\n<tr>\n<td width=320>\n<canvas id=c8 width=320 height=300></canvas>\n<td>\n<pre class=language-js><code id=code>// x, y, z: relative coordinates inside the group\nW.move({n:\"ball\",g:\"M\",x:.9,y:.2,z:.35});</code></pre>\n<button id=b1>Pick the ball</button>\n<br><br>\n<pre class=language-js><code id=code>// x, y, z: World coordinates\nW.move({n:\"ball\",g:null,x:0,y:-.3,z:0});</code></pre>\n<button id=b2>Put down the ball</button>\n</table>\n\n<script>\n\nonload = () => {\n  \n  W.reset(c8);\n  W.ambient(.7);\n  W.clearColor(\"8Af\");\n  W.plane({g:\"camera\",size:150,b:\"3d2\",z:-100,y:-75,ns:1});\n  W.group({n:\"g\"});\n  W.mario({n:\"M\",g:\"g\",size:1,x:.5,z:0,rx:-90,ry:0,t:mario,s:1});\n  W.sphere({n:\"ball\",size:.4,y:-.3,s:1});\n  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  },
  {
    "path": "demos/bricktexture.js",
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\" 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  },
  {
    "path": "demos/castle.html",
    "content": "<!doctype html>\n<canvas id=canvas width=850 height=500 style='border:1px solid'></canvas>\n<img src='tree.png' id=tree hidden>\n<img src='mario.png' id=mario hidden>\n<img src='yoshi.png' id=yoshi hidden>\n<script src='../src/w.js'></script>\n<script src='mario.js'></script>\n<script src='yoshi.js'></script>\n\n<br>\n<br>\n\n<script style='display:block;width:810px;background:#555;color:#fff;font:15px/20px courier; padding:0 20px;white-space:pre'>\nmap = [\n\"055555555555555552\",\n\"055555557755555552\",\n\"000555567765555012\",\n\"210555566665555012\",\n\"210555554455555012\",\n\"210000004400000012\",\n\"210000004400000012\",\n\"211111111111113112\",\n\"222211111122220222\",\n\"222212222222100000\",\n\"222211111222000000\",\n\"222211111222000000\",\n\"222222222222000000\",\n\"222222222222000000\"\n];\n\nonload = () => {\n  W.reset(canvas);\n  W.gl.clearColor(0,0,0,1);\n  W.light({x:.5,y:-.5,z:-.8});\n  W.camera({x:9,y:20,rx:-35,z:25});\n  W.group({n:'g1'});\n  i = 0;\n  for(z in map){\n    for(x in map[z]){\n      h = 1+[0,.8,1,.2,.2,6,9,12][map[z][x]]\n      W.cube({g:'g1',x,z,h,y:h/2,b:['0df','ed7','0a0','da4','cdd','cdd','cdd','cdd'][map[z][x]]});\n      if(map[z][x] == 2 & !(i % 7)){\n        console.log(x,z);\n        W.billboard({g:'g1',x:x,y:2.5,z,w:1.5,h:1.5,t:tree});\n      }\n      i++;\n    }\n  }\n  \n  W.cube({g:'g1',x:8.5,z:4,w:3,h:4,y:6,b:'cdd'});\n  \n  for(i = 0; i < 7; i++){\n    W.pyramid({g:'g1',x:[30,30,30.5,8,52,58,3][i]/4+1,z:[0,0,0,12,12,-6,-6][i]/4+2,y:[25,37,47,25,25,25,25][i]/4+2,w:[13,5,3,2,2,3,3][i],d:[8,4,3,2,2,3,3][i],h:2,b:'b31'});\n  }\n  \n  W.mario({g:'g1',x:8,z:10,w:2,h:2,d:2,y:3,rx:-90,ry:180,t:mario});\n  W.yoshi({g:'g1',x:5,z:4,w:2,h:2,d:2,y:8,rx:0,ry:180,t:yoshi});\n  \n  t = 0;\n  setInterval(()=>{\n    t+=.1;\n    W.move({n:'g1',ry:Math.cos(t/5)*25, fov: (.5 + Math.sin(t/5)/10)*50});\n  },16);\n}\n\n</script>\n\n"
  },
  {
    "path": "demos/freerotation.html",
    "content": "<!doctype html>\n<canvas id=canvas width=1200 height=500 style='border:1px solid'></canvas>\n<script src='../src/w.js'></script>\n\n<br>\n<br>\n\n<script style='display:block;width:1160px;background:#555;color:#fff;font:15px/20px courier; padding:0 20px;white-space:pre'>\n\n// Set up the scene with a cube at the center\nonload = () => {\n  W.reset(canvas);\n  W.camera({z:2});\n  W.light({x:.5,y:.5,z:.5});\n  W.cube({n:\"cube\", b:\"5af\", rx: 45});\n}\n\n// Direction keys (https://xem.github.io/articles/jsgamesinputs.html)\nu=r=d=l=0;\nonkeydown=onkeyup=e=>this['lurd************************l**r************l*d***u**u'[e.which-37]]=+!!e.type[5];\n\n// Create a custom transform matrix for the cube\nmodelMatrix = new DOMMatrix();\n\n// Draw\ndraw = () => {\n\n  // Loop\n  requestAnimationFrame(draw);\n\n  // Compute rotation axis from the arrow keys\n  let axis = new DOMPoint(rx = d - u, ry = r - l, 0);\n\n  // Apply the inverse of the existing model matrix to the new rotation axis to get back to the the World coordinates\n  let newAxis = axis.matrixTransform((new DOMMatrix(modelMatrix)).invertSelf());\n\n  // Apply the new rotation along this transformed axis up to 5 degrees per frame\n  modelMatrix.rotateAxisAngleSelf(newAxis.x, newAxis.y, newAxis.z, Math.hypot(rx, ry) * 5);\n\n  // Move the cube\n  W.move({n:\"cube\", M: modelMatrix});\n};\ndraw();\n\n</script>\n\n"
  },
  {
    "path": "demos/jscolor.js",
    "content": "/**\n * jscolor - JavaScript Color Picker\n *\n * @link    http://jscolor.com\n * @license For open source use: GPLv3\n *          For commercial use: JSColor Commercial License\n * @author  Jan Odvarko - East Desire\n * @version 2.4.6\n *\n * See usage examples at http://jscolor.com/examples/\n */\n\n\n(function (global, factory) {\n\n\t'use strict';\n\n\tif (typeof module === 'object' && typeof module.exports === 'object') {\n\t\t// Export jscolor as a module\n\t\tmodule.exports = global.document ?\n\t\t\tfactory (global) :\n\t\t\tfunction (win) {\n\t\t\t\tif (!win.document) {\n\t\t\t\t\tthrow new Error('jscolor needs a window with document');\n\t\t\t\t}\n\t\t\t\treturn factory(win);\n\t\t\t}\n\t\treturn;\n\t}\n\n\t// Default use (no module export)\n\tfactory(global);\n\n})(typeof window !== 'undefined' ? window : this, function (window) { // BEGIN factory\n\n// BEGIN jscolor code\n\n\n'use strict';\n\n\nvar jscolor = (function () { // BEGIN jscolor\n\nvar jsc = {\n\n\n\tinitialized : false,\n\n\tinstances : [], // created instances of jscolor\n\n\treadyQueue : [], // functions waiting to be called after init\n\n\n\tregister : function () {\n\t\tif (typeof window !== 'undefined' && window.document) {\n\t\t\twindow.document.addEventListener('DOMContentLoaded', jsc.pub.init, false);\n\t\t}\n\t},\n\n\n\tinstallBySelector : function (selector, rootNode) {\n\t\trootNode = rootNode ? jsc.node(rootNode) : window.document;\n\t\tif (!rootNode) {\n\t\t\tthrow new Error('Missing root node');\n\t\t}\n\n\t\tvar elms = rootNode.querySelectorAll(selector);\n\n\t\t// for backward compatibility with DEPRECATED installation/configuration using className\n\t\tvar matchClass = new RegExp('(^|\\\\s)(' + jsc.pub.lookupClass + ')(\\\\s*(\\\\{[^}]*\\\\})|\\\\s|$)', 'i');\n\n\t\tfor (var i = 0; i < elms.length; i += 1) {\n\n\t\t\tif (elms[i].jscolor && elms[i].jscolor instanceof jsc.pub) {\n\t\t\t\tcontinue; // jscolor already installed on this element\n\t\t\t}\n\n\t\t\tif (elms[i].type !== undefined && elms[i].type.toLowerCase() == 'color' && jsc.isColorAttrSupported) {\n\t\t\t\tcontinue; // skips inputs of type 'color' if supported by the browser\n\t\t\t}\n\n\t\t\tvar dataOpts, m;\n\n\t\t\tif (\n\t\t\t\t(dataOpts = jsc.getDataAttr(elms[i], 'jscolor')) !== null ||\n\t\t\t\t(elms[i].className && (m = elms[i].className.match(matchClass))) // installation using className (DEPRECATED)\n\t\t\t) {\n\t\t\t\tvar targetElm = elms[i];\n\n\t\t\t\tvar optsStr = '';\n\t\t\t\tif (dataOpts !== null) {\n\t\t\t\t\toptsStr = dataOpts;\n\n\t\t\t\t} else if (m) { // installation using className (DEPRECATED)\n\t\t\t\t\tconsole.warn('Installation using class name is DEPRECATED. Use data-jscolor=\"\" attribute instead.' + jsc.docsRef);\n\t\t\t\t\tif (m[4]) {\n\t\t\t\t\t\toptsStr = m[4];\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tvar opts = null;\n\t\t\t\tif (optsStr.trim()) {\n\t\t\t\t\ttry {\n\t\t\t\t\t\topts = jsc.parseOptionsStr(optsStr);\n\t\t\t\t\t} catch (e) {\n\t\t\t\t\t\tconsole.warn(e + '\\n' + optsStr);\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\ttry {\n\t\t\t\t\tnew jsc.pub(targetElm, opts);\n\t\t\t\t} catch (e) {\n\t\t\t\t\tconsole.warn(e);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t},\n\n\n\tparseOptionsStr : function (str) {\n\t\tvar opts = null;\n\n\t\ttry {\n\t\t\topts = JSON.parse(str);\n\n\t\t} catch (eParse) {\n\t\t\tif (!jsc.pub.looseJSON) {\n\t\t\t\tthrow new Error('Could not parse jscolor options as JSON: ' + eParse);\n\t\t\t} else {\n\t\t\t\t// loose JSON syntax is enabled -> try to evaluate the options string as JavaScript object\n\t\t\t\ttry {\n\t\t\t\t\topts = (new Function ('var opts = (' + str + '); return typeof opts === \"object\" ? opts : {};'))();\n\t\t\t\t} catch (eEval) {\n\t\t\t\t\tthrow new Error('Could not evaluate jscolor options: ' + eEval);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn opts;\n\t},\n\n\n\tgetInstances : function () {\n\t\tvar inst = [];\n\t\tfor (var i = 0; i < jsc.instances.length; i += 1) {\n\t\t\t// if the targetElement still exists, the instance is considered \"alive\"\n\t\t\tif (jsc.instances[i] && jsc.instances[i].targetElement) {\n\t\t\t\tinst.push(jsc.instances[i]);\n\t\t\t}\n\t\t}\n\t\treturn inst;\n\t},\n\n\n\tcreateEl : function (tagName) {\n\t\tvar el = window.document.createElement(tagName);\n\t\tjsc.setData(el, 'gui', true);\n\t\treturn el;\n\t},\n\n\n\tnode : function (nodeOrSelector) {\n\t\tif (!nodeOrSelector) {\n\t\t\treturn null;\n\t\t}\n\n\t\tif (typeof nodeOrSelector === 'string') {\n\t\t\t// query selector\n\t\t\tvar sel = nodeOrSelector;\n\t\t\tvar el = null;\n\t\t\ttry {\n\t\t\t\tel = window.document.querySelector(sel);\n\t\t\t} catch (e) {\n\t\t\t\tconsole.warn(e);\n\t\t\t\treturn null;\n\t\t\t}\n\t\t\tif (!el) {\n\t\t\t\tconsole.warn('No element matches the selector: %s', sel);\n\t\t\t}\n\t\t\treturn el;\n\t\t}\n\n\t\tif (jsc.isNode(nodeOrSelector)) {\n\t\t\t// DOM node\n\t\t\treturn nodeOrSelector;\n\t\t}\n\n\t\tconsole.warn('Invalid node of type %s: %s', typeof nodeOrSelector, nodeOrSelector);\n\t\treturn null;\n\t},\n\n\n\t// See https://stackoverflow.com/questions/384286/\n\tisNode : function (val) {\n\t\tif (typeof Node === 'object') {\n\t\t\treturn val instanceof Node;\n\t\t}\n\t\treturn val && typeof val === 'object' && typeof val.nodeType === 'number' && typeof val.nodeName === 'string';\n\t},\n\n\n\tnodeName : function (node) {\n\t\tif (node && node.nodeName) {\n\t\t\treturn node.nodeName.toLowerCase();\n\t\t}\n\t\treturn false;\n\t},\n\n\n\tremoveChildren : function (node) {\n\t\twhile (node.firstChild) {\n\t\t\tnode.removeChild(node.firstChild);\n\t\t}\n\t},\n\n\n\tisTextInput : function (el) {\n\t\treturn el && jsc.nodeName(el) === 'input' && el.type.toLowerCase() === 'text';\n\t},\n\n\n\tisButton : function (el) {\n\t\tif (!el) {\n\t\t\treturn false;\n\t\t}\n\t\tvar n = jsc.nodeName(el);\n\t\treturn (\n\t\t\t(n === 'button') ||\n\t\t\t(n === 'input' && ['button', 'submit', 'reset'].indexOf(el.type.toLowerCase()) > -1)\n\t\t);\n\t},\n\n\n\tisButtonEmpty : function (el) {\n\t\tswitch (jsc.nodeName(el)) {\n\t\t\tcase 'input': return (!el.value || el.value.trim() === '');\n\t\t\tcase 'button': return (el.textContent.trim() === '');\n\t\t}\n\t\treturn null; // could not determine element's text\n\t},\n\n\n\t// See https://github.com/WICG/EventListenerOptions/blob/gh-pages/explainer.md\n\tisPassiveEventSupported : (function () {\n\t\tvar supported = false;\n\n\t\ttry {\n\t\t\tvar opts = Object.defineProperty({}, 'passive', {\n\t\t\t\tget: function () { supported = true; }\n\t\t\t});\n\t\t\twindow.addEventListener('testPassive', null, opts);\n\t\t\twindow.removeEventListener('testPassive', null, opts);\n\t\t} catch (e) {}\n\n\t\treturn supported;\n\t})(),\n\n\n\tisColorAttrSupported : (function () {\n\t\tvar elm = window.document.createElement('input');\n\t\tif (elm.setAttribute) {\n\t\t\telm.setAttribute('type', 'color');\n\t\t\tif (elm.type.toLowerCase() == 'color') {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn false;\n\t})(),\n\n\n\tdataProp : '_data_jscolor',\n\n\n\t// usage:\n\t//   setData(obj, prop, value)\n\t//   setData(obj, {prop:value, ...})\n\t//\n\tsetData : function () {\n\t\tvar obj = arguments[0];\n\n\t\tif (arguments.length === 3) {\n\t\t\t// setting a single property\n\t\t\tvar data = obj.hasOwnProperty(jsc.dataProp) ? obj[jsc.dataProp] : (obj[jsc.dataProp] = {});\n\t\t\tvar prop = arguments[1];\n\t\t\tvar value = arguments[2];\n\n\t\t\tdata[prop] = value;\n\t\t\treturn true;\n\n\t\t} else if (arguments.length === 2 && typeof arguments[1] === 'object') {\n\t\t\t// setting multiple properties\n\t\t\tvar data = obj.hasOwnProperty(jsc.dataProp) ? obj[jsc.dataProp] : (obj[jsc.dataProp] = {});\n\t\t\tvar map = arguments[1];\n\n\t\t\tfor (var prop in map) {\n\t\t\t\tif (map.hasOwnProperty(prop)) {\n\t\t\t\t\tdata[prop] = map[prop];\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn true;\n\t\t}\n\n\t\tthrow new Error('Invalid arguments');\n\t},\n\n\n\t// usage:\n\t//   removeData(obj, prop, [prop...])\n\t//\n\tremoveData : function () {\n\t\tvar obj = arguments[0];\n\t\tif (!obj.hasOwnProperty(jsc.dataProp)) {\n\t\t\treturn true; // data object does not exist\n\t\t}\n\t\tfor (var i = 1; i < arguments.length; i += 1) {\n\t\t\tvar prop = arguments[i];\n\t\t\tdelete obj[jsc.dataProp][prop];\n\t\t}\n\t\treturn true;\n\t},\n\n\n\tgetData : function (obj, prop, setDefault) {\n\t\tif (!obj.hasOwnProperty(jsc.dataProp)) {\n\t\t\t// data object does not exist\n\t\t\tif (setDefault !== undefined) {\n\t\t\t\tobj[jsc.dataProp] = {}; // create data object\n\t\t\t} else {\n\t\t\t\treturn undefined; // no value to return\n\t\t\t}\n\t\t}\n\t\tvar data = obj[jsc.dataProp];\n\n\t\tif (!data.hasOwnProperty(prop) && setDefault !== undefined) {\n\t\t\tdata[prop] = setDefault;\n\t\t}\n\t\treturn data[prop];\n\t},\n\n\n\tgetDataAttr : function (el, name) {\n\t\tvar attrName = 'data-' + name;\n\t\tvar attrValue = el.getAttribute(attrName);\n\t\treturn attrValue;\n\t},\n\n\n\tsetDataAttr : function (el, name, value) {\n\t\tvar attrName = 'data-' + name;\n\t\tel.setAttribute(attrName, value);\n\t},\n\n\n\t_attachedGroupEvents : {},\n\n\n\tattachGroupEvent : function (groupName, el, evnt, func) {\n\t\tif (!jsc._attachedGroupEvents.hasOwnProperty(groupName)) {\n\t\t\tjsc._attachedGroupEvents[groupName] = [];\n\t\t}\n\t\tjsc._attachedGroupEvents[groupName].push([el, evnt, func]);\n\t\tel.addEventListener(evnt, func, false);\n\t},\n\n\n\tdetachGroupEvents : function (groupName) {\n\t\tif (jsc._attachedGroupEvents.hasOwnProperty(groupName)) {\n\t\t\tfor (var i = 0; i < jsc._attachedGroupEvents[groupName].length; i += 1) {\n\t\t\t\tvar evt = jsc._attachedGroupEvents[groupName][i];\n\t\t\t\tevt[0].removeEventListener(evt[1], evt[2], false);\n\t\t\t}\n\t\t\tdelete jsc._attachedGroupEvents[groupName];\n\t\t}\n\t},\n\n\n\tpreventDefault : function (e) {\n\t\tif (e.preventDefault) { e.preventDefault(); }\n\t\te.returnValue = false;\n\t},\n\n\n\tcaptureTarget : function (target) {\n\t\t// IE\n\t\tif (target.setCapture) {\n\t\t\tjsc._capturedTarget = target;\n\t\t\tjsc._capturedTarget.setCapture();\n\t\t}\n\t},\n\n\n\treleaseTarget : function () {\n\t\t// IE\n\t\tif (jsc._capturedTarget) {\n\t\t\tjsc._capturedTarget.releaseCapture();\n\t\t\tjsc._capturedTarget = null;\n\t\t}\n\t},\n\n\n\ttriggerEvent : function (el, eventName, bubbles, cancelable) {\n\t\tif (!el) {\n\t\t\treturn;\n\t\t}\n\n\t\tvar ev = null;\n\n\t\tif (typeof Event === 'function') {\n\t\t\tev = new Event(eventName, {\n\t\t\t\tbubbles: bubbles,\n\t\t\t\tcancelable: cancelable\n\t\t\t});\n\t\t} else {\n\t\t\t// IE\n\t\t\tev = window.document.createEvent('Event');\n\t\t\tev.initEvent(eventName, bubbles, cancelable);\n\t\t}\n\n\t\tif (!ev) {\n\t\t\treturn false;\n\t\t}\n\n\t\t// so that we know that the event was triggered internally\n\t\tjsc.setData(ev, 'internal', true);\n\n\t\tel.dispatchEvent(ev);\n\t\treturn true;\n\t},\n\n\n\ttriggerInputEvent : function (el, eventName, bubbles, cancelable) {\n\t\tif (!el) {\n\t\t\treturn;\n\t\t}\n\t\tif (jsc.isTextInput(el)) {\n\t\t\tjsc.triggerEvent(el, eventName, bubbles, cancelable);\n\t\t}\n\t},\n\n\n\teventKey : function (ev) {\n\t\tvar keys = {\n\t\t\t9: 'Tab',\n\t\t\t13: 'Enter',\n\t\t\t27: 'Escape',\n\t\t};\n\t\tif (typeof ev.code === 'string') {\n\t\t\treturn ev.code;\n\t\t} else if (ev.keyCode !== undefined && keys.hasOwnProperty(ev.keyCode)) {\n\t\t\treturn keys[ev.keyCode];\n\t\t}\n\t\treturn null;\n\t},\n\n\n\tstrList : function (str) {\n\t\tif (!str) {\n\t\t\treturn [];\n\t\t}\n\t\treturn str.replace(/^\\s+|\\s+$/g, '').split(/\\s+/);\n\t},\n\n\n\t// The className parameter (str) can only contain a single class name\n\thasClass : function (elm, className) {\n\t\tif (!className) {\n\t\t\treturn false;\n\t\t}\n\t\tif (elm.classList !== undefined) {\n\t\t\treturn elm.classList.contains(className);\n\t\t}\n\t\t// polyfill\n\t\treturn -1 != (' ' + elm.className.replace(/\\s+/g, ' ') + ' ').indexOf(' ' + className + ' ');\n\t},\n\n\n\t// The className parameter (str) can contain multiple class names separated by whitespace\n\taddClass : function (elm, className) {\n\t\tvar classNames = jsc.strList(className);\n\n\t\tif (elm.classList !== undefined) {\n\t\t\tfor (var i = 0; i < classNames.length; i += 1) {\n\t\t\t\telm.classList.add(classNames[i]);\n\t\t\t}\n\t\t\treturn;\n\t\t}\n\t\t// polyfill\n\t\tfor (var i = 0; i < classNames.length; i += 1) {\n\t\t\tif (!jsc.hasClass(elm, classNames[i])) {\n\t\t\t\telm.className += (elm.className ? ' ' : '') + classNames[i];\n\t\t\t}\n\t\t}\n\t},\n\n\n\t// The className parameter (str) can contain multiple class names separated by whitespace\n\tremoveClass : function (elm, className) {\n\t\tvar classNames = jsc.strList(className);\n\n\t\tif (elm.classList !== undefined) {\n\t\t\tfor (var i = 0; i < classNames.length; i += 1) {\n\t\t\t\telm.classList.remove(classNames[i]);\n\t\t\t}\n\t\t\treturn;\n\t\t}\n\t\t// polyfill\n\t\tfor (var i = 0; i < classNames.length; i += 1) {\n\t\t\tvar repl = new RegExp(\n\t\t\t\t'^\\\\s*' + classNames[i] + '\\\\s*|' +\n\t\t\t\t'\\\\s*' + classNames[i] + '\\\\s*$|' +\n\t\t\t\t'\\\\s+' + classNames[i] + '(\\\\s+)',\n\t\t\t\t'g'\n\t\t\t);\n\t\t\telm.className = elm.className.replace(repl, '$1');\n\t\t}\n\t},\n\n\n\tgetCompStyle : function (elm) {\n\t\tvar compStyle = window.getComputedStyle ? window.getComputedStyle(elm) : elm.currentStyle;\n\n\t\t// Note: In Firefox, getComputedStyle returns null in a hidden iframe,\n\t\t// that's why we need to check if the returned value is non-empty\n\t\tif (!compStyle) {\n\t\t\treturn {};\n\t\t}\n\t\treturn compStyle;\n\t},\n\n\n\t// Note:\n\t//   Setting a property to NULL reverts it to the state before it was first set\n\t//   with the 'reversible' flag enabled\n\t//\n\tsetStyle : function (elm, styles, important, reversible) {\n\t\t// using '' for standard priority (IE10 apparently doesn't like value undefined)\n\t\tvar priority = important ? 'important' : '';\n\t\tvar origStyle = null;\n\n\t\tfor (var prop in styles) {\n\t\t\tif (styles.hasOwnProperty(prop)) {\n\t\t\t\tvar setVal = null;\n\n\t\t\t\tif (styles[prop] === null) {\n\t\t\t\t\t// reverting a property value\n\n\t\t\t\t\tif (!origStyle) {\n\t\t\t\t\t\t// get the original style object, but dont't try to create it if it doesn't exist\n\t\t\t\t\t\torigStyle = jsc.getData(elm, 'origStyle');\n\t\t\t\t\t}\n\t\t\t\t\tif (origStyle && origStyle.hasOwnProperty(prop)) {\n\t\t\t\t\t\t// we have property's original value -> use it\n\t\t\t\t\t\tsetVal = origStyle[prop];\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\t\t\t\t\t// setting a property value\n\n\t\t\t\t\tif (reversible) {\n\t\t\t\t\t\tif (!origStyle) {\n\t\t\t\t\t\t\t// get the original style object and if it doesn't exist, create it\n\t\t\t\t\t\t\torigStyle = jsc.getData(elm, 'origStyle', {});\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif (!origStyle.hasOwnProperty(prop)) {\n\t\t\t\t\t\t\t// original property value not yet stored -> store it\n\t\t\t\t\t\t\torigStyle[prop] = elm.style[prop];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tsetVal = styles[prop];\n\t\t\t\t}\n\n\t\t\t\tif (setVal !== null) {\n\t\t\t\t\telm.style.setProperty(prop, setVal, priority);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t},\n\n\n\thexColor : function (r, g, b) {\n\t\treturn '#' + (\n\t\t\t('0' + Math.round(r).toString(16)).substr(-2) +\n\t\t\t('0' + Math.round(g).toString(16)).substr(-2) +\n\t\t\t('0' + Math.round(b).toString(16)).substr(-2)\n\t\t).toUpperCase();\n\t},\n\n\n\thexaColor : function (r, g, b, a) {\n\t\treturn '#' + (\n\t\t\t('0' + Math.round(r).toString(16)).substr(-2) +\n\t\t\t('0' + Math.round(g).toString(16)).substr(-2) +\n\t\t\t('0' + Math.round(b).toString(16)).substr(-2) +\n\t\t\t('0' + Math.round(a * 255).toString(16)).substr(-2)\n\t\t).toUpperCase();\n\t},\n\n\n\trgbColor : function (r, g, b) {\n\t\treturn 'rgb(' +\n\t\t\tMath.round(r) + ',' +\n\t\t\tMath.round(g) + ',' +\n\t\t\tMath.round(b) +\n\t\t')';\n\t},\n\n\n\trgbaColor : function (r, g, b, a) {\n\t\treturn 'rgba(' +\n\t\t\tMath.round(r) + ',' +\n\t\t\tMath.round(g) + ',' +\n\t\t\tMath.round(b) + ',' +\n\t\t\t(Math.round((a===undefined || a===null ? 1 : a) * 100) / 100) +\n\t\t')';\n\t},\n\n\n\tlinearGradient : (function () {\n\n\t\tfunction getFuncName () {\n\t\t\tvar stdName = 'linear-gradient';\n\t\t\tvar prefixes = ['', '-webkit-', '-moz-', '-o-', '-ms-'];\n\t\t\tvar helper = window.document.createElement('div');\n\n\t\t\tfor (var i = 0; i < prefixes.length; i += 1) {\n\t\t\t\tvar tryFunc = prefixes[i] + stdName;\n\t\t\t\tvar tryVal = tryFunc + '(to right, rgba(0,0,0,0), rgba(0,0,0,0))';\n\n\t\t\t\thelper.style.background = tryVal;\n\t\t\t\tif (helper.style.background) { // CSS background successfully set -> function name is supported\n\t\t\t\t\treturn tryFunc;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn stdName; // fallback to standard 'linear-gradient' without vendor prefix\n\t\t}\n\n\t\tvar funcName = getFuncName();\n\n\t\treturn function () {\n\t\t\treturn funcName + '(' + Array.prototype.join.call(arguments, ', ') + ')';\n\t\t};\n\n\t})(),\n\n\n\tsetBorderRadius : function (elm, value) {\n\t\tjsc.setStyle(elm, {'border-radius' : value || '0'});\n\t},\n\n\n\tsetBoxShadow : function (elm, value) {\n\t\tjsc.setStyle(elm, {'box-shadow': value || 'none'});\n\t},\n\n\n\tgetElementPos : function (e, relativeToViewport) {\n\t\tvar x=0, y=0;\n\t\tvar rect = e.getBoundingClientRect();\n\t\tx = rect.left;\n\t\ty = rect.top;\n\t\tif (!relativeToViewport) {\n\t\t\tvar viewPos = jsc.getViewPos();\n\t\t\tx += viewPos[0];\n\t\t\ty += viewPos[1];\n\t\t}\n\t\treturn [x, y];\n\t},\n\n\n\tgetElementSize : function (e) {\n\t\treturn [e.offsetWidth, e.offsetHeight];\n\t},\n\n\n\t// get pointer's X/Y coordinates relative to viewport\n\tgetAbsPointerPos : function (e) {\n\t\tvar x = 0, y = 0;\n\t\tif (typeof e.changedTouches !== 'undefined' && e.changedTouches.length) {\n\t\t\t// touch devices\n\t\t\tx = e.changedTouches[0].clientX;\n\t\t\ty = e.changedTouches[0].clientY;\n\t\t} else if (typeof e.clientX === 'number') {\n\t\t\tx = e.clientX;\n\t\t\ty = e.clientY;\n\t\t}\n\t\treturn { x: x, y: y };\n\t},\n\n\n\t// get pointer's X/Y coordinates relative to target element\n\tgetRelPointerPos : function (e) {\n\t\tvar target = e.target || e.srcElement;\n\t\tvar targetRect = target.getBoundingClientRect();\n\n\t\tvar x = 0, y = 0;\n\n\t\tvar clientX = 0, clientY = 0;\n\t\tif (typeof e.changedTouches !== 'undefined' && e.changedTouches.length) {\n\t\t\t// touch devices\n\t\t\tclientX = e.changedTouches[0].clientX;\n\t\t\tclientY = e.changedTouches[0].clientY;\n\t\t} else if (typeof e.clientX === 'number') {\n\t\t\tclientX = e.clientX;\n\t\t\tclientY = e.clientY;\n\t\t}\n\n\t\tx = clientX - targetRect.left;\n\t\ty = clientY - targetRect.top;\n\t\treturn { x: x, y: y };\n\t},\n\n\n\tgetViewPos : function () {\n\t\tvar doc = window.document.documentElement;\n\t\treturn [\n\t\t\t(window.pageXOffset || doc.scrollLeft) - (doc.clientLeft || 0),\n\t\t\t(window.pageYOffset || doc.scrollTop) - (doc.clientTop || 0)\n\t\t];\n\t},\n\n\n\tgetViewSize : function () {\n\t\tvar doc = window.document.documentElement;\n\t\treturn [\n\t\t\t(window.innerWidth || doc.clientWidth),\n\t\t\t(window.innerHeight || doc.clientHeight),\n\t\t];\n\t},\n\n\n\t// r: 0-255\n\t// g: 0-255\n\t// b: 0-255\n\t//\n\t// returns: [ 0-360, 0-100, 0-100 ]\n\t//\n\tRGB_HSV : function (r, g, b) {\n\t\tr /= 255;\n\t\tg /= 255;\n\t\tb /= 255;\n\t\tvar n = Math.min(Math.min(r,g),b);\n\t\tvar v = Math.max(Math.max(r,g),b);\n\t\tvar m = v - n;\n\t\tif (m === 0) { return [ null, 0, 100 * v ]; }\n\t\tvar h = r===n ? 3+(b-g)/m : (g===n ? 5+(r-b)/m : 1+(g-r)/m);\n\t\treturn [\n\t\t\t60 * (h===6?0:h),\n\t\t\t100 * (m/v),\n\t\t\t100 * v\n\t\t];\n\t},\n\n\n\t// h: 0-360\n\t// s: 0-100\n\t// v: 0-100\n\t//\n\t// returns: [ 0-255, 0-255, 0-255 ]\n\t//\n\tHSV_RGB : function (h, s, v) {\n\t\tvar u = 255 * (v / 100);\n\n\t\tif (h === null) {\n\t\t\treturn [ u, u, u ];\n\t\t}\n\n\t\th /= 60;\n\t\ts /= 100;\n\n\t\tvar i = Math.floor(h);\n\t\tvar f = i%2 ? h-i : 1-(h-i);\n\t\tvar m = u * (1 - s);\n\t\tvar n = u * (1 - s * f);\n\t\tswitch (i) {\n\t\t\tcase 6:\n\t\t\tcase 0: return [u,n,m];\n\t\t\tcase 1: return [n,u,m];\n\t\t\tcase 2: return [m,u,n];\n\t\t\tcase 3: return [m,n,u];\n\t\t\tcase 4: return [n,m,u];\n\t\t\tcase 5: return [u,m,n];\n\t\t}\n\t},\n\n\n\tparseColorString : function (str) {\n\t\tvar ret = {\n\t\t\trgba: null,\n\t\t\tformat: null // 'hex' | 'hexa' | 'rgb' | 'rgba'\n\t\t};\n\n\t\tvar m;\n\n\t\tif (m = str.match(/^\\W*([0-9A-F]{3,8})\\W*$/i)) {\n\t\t\t// HEX notation\n\n\t\t\tif (m[1].length === 8) {\n\t\t\t\t// 8-char notation (= with alpha)\n\t\t\t\tret.format = 'hexa';\n\t\t\t\tret.rgba = [\n\t\t\t\t\tparseInt(m[1].substr(0,2),16),\n\t\t\t\t\tparseInt(m[1].substr(2,2),16),\n\t\t\t\t\tparseInt(m[1].substr(4,2),16),\n\t\t\t\t\tparseInt(m[1].substr(6,2),16) / 255\n\t\t\t\t];\n\n\t\t\t} else if (m[1].length === 6) {\n\t\t\t\t// 6-char notation\n\t\t\t\tret.format = 'hex';\n\t\t\t\tret.rgba = [\n\t\t\t\t\tparseInt(m[1].substr(0,2),16),\n\t\t\t\t\tparseInt(m[1].substr(2,2),16),\n\t\t\t\t\tparseInt(m[1].substr(4,2),16),\n\t\t\t\t\tnull\n\t\t\t\t];\n\n\t\t\t} else if (m[1].length === 3) {\n\t\t\t\t// 3-char notation\n\t\t\t\tret.format = 'hex';\n\t\t\t\tret.rgba = [\n\t\t\t\t\tparseInt(m[1].charAt(0) + m[1].charAt(0),16),\n\t\t\t\t\tparseInt(m[1].charAt(1) + m[1].charAt(1),16),\n\t\t\t\t\tparseInt(m[1].charAt(2) + m[1].charAt(2),16),\n\t\t\t\t\tnull\n\t\t\t\t];\n\n\t\t\t} else {\n\t\t\t\treturn false;\n\t\t\t}\n\n\t\t\treturn ret;\n\t\t}\n\n\t\tif (m = str.match(/^\\W*rgba?\\(([^)]*)\\)\\W*$/i)) {\n\t\t\t// rgb(...) or rgba(...) notation\n\n\t\t\tvar par = m[1].split(',');\n\t\t\tvar re = /^\\s*(\\d+|\\d*\\.\\d+|\\d+\\.\\d*)\\s*$/;\n\t\t\tvar mR, mG, mB, mA;\n\t\t\tif (\n\t\t\t\tpar.length >= 3 &&\n\t\t\t\t(mR = par[0].match(re)) &&\n\t\t\t\t(mG = par[1].match(re)) &&\n\t\t\t\t(mB = par[2].match(re))\n\t\t\t) {\n\t\t\t\tret.format = 'rgb';\n\t\t\t\tret.rgba = [\n\t\t\t\t\tparseFloat(mR[1]) || 0,\n\t\t\t\t\tparseFloat(mG[1]) || 0,\n\t\t\t\t\tparseFloat(mB[1]) || 0,\n\t\t\t\t\tnull\n\t\t\t\t];\n\n\t\t\t\tif (\n\t\t\t\t\tpar.length >= 4 &&\n\t\t\t\t\t(mA = par[3].match(re))\n\t\t\t\t) {\n\t\t\t\t\tret.format = 'rgba';\n\t\t\t\t\tret.rgba[3] = parseFloat(mA[1]) || 0;\n\t\t\t\t}\n\t\t\t\treturn ret;\n\t\t\t}\n\t\t}\n\n\t\treturn false;\n\t},\n\n\n\tparsePaletteValue : function (mixed) {\n\t\tvar vals = [];\n\n\t\tif (typeof mixed === 'string') { // input is a string of space separated color values\n\t\t\t// rgb() and rgba() may contain spaces too, so let's find all color values by regex\n\t\t\tmixed.replace(/#[0-9A-F]{3}([0-9A-F]{3})?|rgba?\\(([^)]*)\\)/ig, function (val) {\n\t\t\t\tvals.push(val);\n\t\t\t});\n\t\t} else if (Array.isArray(mixed)) { // input is an array of color values\n\t\t\tvals = mixed;\n\t\t}\n\n\t\t// convert all values into uniform color format\n\n\t\tvar colors = [];\n\n\t\tfor (var i = 0; i < vals.length; i++) {\n\t\t\tvar color = jsc.parseColorString(vals[i]);\n\t\t\tif (color) {\n\t\t\t\tcolors.push(color);\n\t\t\t}\n\t\t}\n\n\t\treturn colors;\n\t},\n\n\n\tcontainsTranparentColor : function (colors) {\n\t\tfor (var i = 0; i < colors.length; i++) {\n\t\t\tvar a = colors[i].rgba[3];\n\t\t\tif (a !== null && a < 1.0) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn false;\n\t},\n\n\n\tisAlphaFormat : function (format) {\n\t\tswitch (format.toLowerCase()) {\n\t\tcase 'hexa':\n\t\tcase 'rgba':\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t},\n\n\n\t// Canvas scaling for retina displays\n\t//\n\t// adapted from https://www.html5rocks.com/en/tutorials/canvas/hidpi/\n\t//\n\tscaleCanvasForHighDPR : function (canvas) {\n\t\tvar dpr = window.devicePixelRatio || 1;\n\t\tcanvas.width *= dpr;\n\t\tcanvas.height *= dpr;\n\t\tvar ctx = canvas.getContext('2d');\n\t\tctx.scale(dpr, dpr);\n\t},\n\n\n\tgenColorPreviewCanvas : function (color, separatorPos, specWidth, scaleForHighDPR) {\n\n\t\tvar sepW = Math.round(jsc.pub.previewSeparator.length);\n\t\tvar sqSize = jsc.pub.chessboardSize;\n\t\tvar sqColor1 = jsc.pub.chessboardColor1;\n\t\tvar sqColor2 = jsc.pub.chessboardColor2;\n\n\t\tvar cWidth = specWidth ? specWidth : sqSize * 2;\n\t\tvar cHeight = sqSize * 2;\n\n\t\tvar canvas = jsc.createEl('canvas');\n\t\tvar ctx = canvas.getContext('2d');\n\n\t\tcanvas.width = cWidth;\n\t\tcanvas.height = cHeight;\n\t\tif (scaleForHighDPR) {\n\t\t\tjsc.scaleCanvasForHighDPR(canvas);\n\t\t}\n\n\t\t// transparency chessboard - background\n\t\tctx.fillStyle = sqColor1;\n\t\tctx.fillRect(0, 0, cWidth, cHeight);\n\n\t\t// transparency chessboard - squares\n\t\tctx.fillStyle = sqColor2;\n\t\tfor (var x = 0; x < cWidth; x += sqSize * 2) {\n\t\t\tctx.fillRect(x, 0, sqSize, sqSize);\n\t\t\tctx.fillRect(x + sqSize, sqSize, sqSize, sqSize);\n\t\t}\n\n\t\tif (color) {\n\t\t\t// actual color in foreground\n\t\t\tctx.fillStyle = color;\n\t\t\tctx.fillRect(0, 0, cWidth, cHeight);\n\t\t}\n\n\t\tvar start = null;\n\t\tswitch (separatorPos) {\n\t\t\tcase 'left':\n\t\t\t\tstart = 0;\n\t\t\t\tctx.clearRect(0, 0, sepW/2, cHeight);\n\t\t\t\tbreak;\n\t\t\tcase 'right':\n\t\t\t\tstart = cWidth - sepW;\n\t\t\t\tctx.clearRect(cWidth - (sepW/2), 0, sepW/2, cHeight);\n\t\t\t\tbreak;\n\t\t}\n\t\tif (start !== null) {\n\t\t\tctx.lineWidth = 1;\n\t\t\tfor (var i = 0; i < jsc.pub.previewSeparator.length; i += 1) {\n\t\t\t\tctx.beginPath();\n\t\t\t\tctx.strokeStyle = jsc.pub.previewSeparator[i];\n\t\t\t\tctx.moveTo(0.5 + start + i, 0);\n\t\t\t\tctx.lineTo(0.5 + start + i, cHeight);\n\t\t\t\tctx.stroke();\n\t\t\t}\n\t\t}\n\n\t\treturn {\n\t\t\tcanvas: canvas,\n\t\t\twidth: cWidth,\n\t\t\theight: cHeight,\n\t\t};\n\t},\n\n\n\t// if position or width is not set => fill the entire element (0%-100%)\n\tgenColorPreviewGradient : function (color, position, width) {\n\t\tvar params = [];\n\n\t\tif (position && width) {\n\t\t\tparams = [\n\t\t\t\t'to ' + {'left':'right', 'right':'left'}[position],\n\t\t\t\tcolor + ' 0%',\n\t\t\t\tcolor + ' ' + width + 'px',\n\t\t\t\t'rgba(0,0,0,0) ' + (width + 1) + 'px',\n\t\t\t\t'rgba(0,0,0,0) 100%',\n\t\t\t];\n\t\t} else {\n\t\t\tparams = [\n\t\t\t\t'to right',\n\t\t\t\tcolor + ' 0%',\n\t\t\t\tcolor + ' 100%',\n\t\t\t];\n\t\t}\n\n\t\treturn jsc.linearGradient.apply(this, params);\n\t},\n\n\n\tredrawPosition : function () {\n\n\t\tif (!jsc.picker || !jsc.picker.owner) {\n\t\t\treturn; // picker is not shown\n\t\t}\n\n\t\tvar thisObj = jsc.picker.owner;\n\n\t\tvar tp, vp;\n\n\t\tif (thisObj.fixed) {\n\t\t\t// Fixed elements are positioned relative to viewport,\n\t\t\t// therefore we can ignore the scroll offset\n\t\t\ttp = jsc.getElementPos(thisObj.targetElement, true); // target pos\n\t\t\tvp = [0, 0]; // view pos\n\t\t} else {\n\t\t\ttp = jsc.getElementPos(thisObj.targetElement); // target pos\n\t\t\tvp = jsc.getViewPos(); // view pos\n\t\t}\n\n\t\tvar ts = jsc.getElementSize(thisObj.targetElement); // target size\n\t\tvar vs = jsc.getViewSize(); // view size\n\t\tvar pd = jsc.getPickerDims(thisObj);\n\t\tvar ps = [pd.borderW, pd.borderH]; // picker outer size\n\t\tvar a, b, c;\n\t\tswitch (thisObj.position.toLowerCase()) {\n\t\t\tcase 'left': a=1; b=0; c=-1; break;\n\t\t\tcase 'right':a=1; b=0; c=1; break;\n\t\t\tcase 'top':  a=0; b=1; c=-1; break;\n\t\t\tdefault:     a=0; b=1; c=1; break;\n\t\t}\n\t\tvar l = (ts[b]+ps[b])/2;\n\n\t\t// compute picker position\n\t\tif (!thisObj.smartPosition) {\n\t\t\tvar pp = [\n\t\t\t\ttp[a],\n\t\t\t\ttp[b]+ts[b]-l+l*c\n\t\t\t];\n\t\t} else {\n\t\t\tvar pp = [\n\t\t\t\t-vp[a]+tp[a]+ps[a] > vs[a] ?\n\t\t\t\t\t(-vp[a]+tp[a]+ts[a]/2 > vs[a]/2 && tp[a]+ts[a]-ps[a] >= 0 ? tp[a]+ts[a]-ps[a] : tp[a]) :\n\t\t\t\t\ttp[a],\n\t\t\t\t-vp[b]+tp[b]+ts[b]+ps[b]-l+l*c > vs[b] ?\n\t\t\t\t\t(-vp[b]+tp[b]+ts[b]/2 > vs[b]/2 && tp[b]+ts[b]-l-l*c >= 0 ? tp[b]+ts[b]-l-l*c : tp[b]+ts[b]-l+l*c) :\n\t\t\t\t\t(tp[b]+ts[b]-l+l*c >= 0 ? tp[b]+ts[b]-l+l*c : tp[b]+ts[b]-l-l*c)\n\t\t\t];\n\t\t}\n\n\t\tvar x = pp[a];\n\t\tvar y = pp[b];\n\t\tvar positionValue = thisObj.fixed ? 'fixed' : 'absolute';\n\t\tvar contractShadow =\n\t\t\t(pp[0] + ps[0] > tp[0] || pp[0] < tp[0] + ts[0]) &&\n\t\t\t(pp[1] + ps[1] < tp[1] + ts[1]);\n\n\t\tjsc._drawPosition(thisObj, x, y, positionValue, contractShadow);\n\t},\n\n\n\t_drawPosition : function (thisObj, x, y, positionValue, contractShadow) {\n\t\tvar vShadow = contractShadow ? 0 : thisObj.shadowBlur; // px\n\n\t\tjsc.picker.wrap.style.position = positionValue;\n\t\tjsc.picker.wrap.style.left = x + 'px';\n\t\tjsc.picker.wrap.style.top = y + 'px';\n\n\t\tjsc.setBoxShadow(\n\t\t\tjsc.picker.boxS,\n\t\t\tthisObj.shadow ?\n\t\t\t\tnew jsc.BoxShadow(0, vShadow, thisObj.shadowBlur, 0, thisObj.shadowColor) :\n\t\t\t\tnull);\n\t},\n\n\n\tgetPickerDims : function (thisObj) {\n\t\tvar w = 2 * thisObj.controlBorderWidth + thisObj.width;\n\t\tvar h = 2 * thisObj.controlBorderWidth + thisObj.height;\n\n\t\tvar sliderSpace = 2 * thisObj.controlBorderWidth + 2 * jsc.getControlPadding(thisObj) + thisObj.sliderSize;\n\n\t\tif (jsc.getSliderChannel(thisObj)) {\n\t\t\tw += sliderSpace;\n\t\t}\n\t\tif (thisObj.hasAlphaChannel()) {\n\t\t\tw += sliderSpace;\n\t\t}\n\n\t\tvar pal = jsc.getPaletteDims(thisObj, w);\n\n\t\tif (pal.height) {\n\t\t\th += pal.height + thisObj.padding;\n\t\t}\n\t\tif (thisObj.closeButton) {\n\t\t\th += 2 * thisObj.controlBorderWidth + thisObj.padding + thisObj.buttonHeight;\n\t\t}\n\n\t\tvar pW = w + (2 * thisObj.padding);\n\t\tvar pH = h + (2 * thisObj.padding);\n\n\t\treturn {\n\t\t\tcontentW: w,\n\t\t\tcontentH: h,\n\t\t\tpaddedW: pW,\n\t\t\tpaddedH: pH,\n\t\t\tborderW: pW + (2 * thisObj.borderWidth),\n\t\t\tborderH: pH + (2 * thisObj.borderWidth),\n\t\t\tpalette: pal,\n\t\t};\n\t},\n\n\n\tgetPaletteDims : function (thisObj, width) {\n\t\tvar cols = 0, rows = 0, cellW = 0, cellH = 0, height = 0;\n\t\tvar sampleCount = thisObj._palette ? thisObj._palette.length : 0;\n\n\t\tif (sampleCount) {\n\t\t\tcols = thisObj.paletteCols;\n\t\t\trows = cols > 0 ? Math.ceil(sampleCount / cols) : 0;\n\n\t\t\t// color sample's dimensions (includes border)\n\t\t\tcellW = Math.max(1, Math.floor((width - ((cols - 1) * thisObj.paletteSpacing)) / cols));\n\t\t\tcellH = thisObj.paletteHeight ? Math.min(thisObj.paletteHeight, cellW) : cellW;\n\t\t}\n\n\t\tif (rows) {\n\t\t\theight =\n\t\t\t\trows * cellH +\n\t\t\t\t(rows - 1) * thisObj.paletteSpacing;\n\t\t}\n\n\t\treturn {\n\t\t\tcols: cols,\n\t\t\trows: rows,\n\t\t\tcellW: cellW,\n\t\t\tcellH: cellH,\n\t\t\twidth: width,\n\t\t\theight: height,\n\t\t};\n\t},\n\n\n\tgetControlPadding : function (thisObj) {\n\t\treturn Math.max(\n\t\t\tthisObj.padding / 2,\n\t\t\t(2 * thisObj.pointerBorderWidth + thisObj.pointerThickness) - thisObj.controlBorderWidth\n\t\t);\n\t},\n\n\n\tgetPadYChannel : function (thisObj) {\n\t\tswitch (thisObj.mode.charAt(1).toLowerCase()) {\n\t\t\tcase 'v': return 'v'; break;\n\t\t}\n\t\treturn 's';\n\t},\n\n\n\tgetSliderChannel : function (thisObj) {\n\t\tif (thisObj.mode.length > 2) {\n\t\t\tswitch (thisObj.mode.charAt(2).toLowerCase()) {\n\t\t\t\tcase 's': return 's'; break;\n\t\t\t\tcase 'v': return 'v'; break;\n\t\t\t}\n\t\t}\n\t\treturn null;\n\t},\n\n\n\t// calls function specified in picker's property\n\ttriggerCallback : function (thisObj, prop) {\n\t\tif (!thisObj[prop]) {\n\t\t\treturn; // callback func not specified\n\t\t}\n\t\tvar callback = null;\n\n\t\tif (typeof thisObj[prop] === 'string') {\n\t\t\t// string with code\n\t\t\ttry {\n\t\t\t\tcallback = new Function (thisObj[prop]);\n\t\t\t} catch (e) {\n\t\t\t\tconsole.error(e);\n\t\t\t}\n\t\t} else {\n\t\t\t// function\n\t\t\tcallback = thisObj[prop];\n\t\t}\n\n\t\tif (callback) {\n\t\t\tcallback.call(thisObj);\n\t\t}\n\t},\n\n\n\t// Triggers a color change related event(s) on all picker instances.\n\t// It is possible to specify multiple events separated with a space.\n\ttriggerGlobal : function (eventNames) {\n\t\tvar inst = jsc.getInstances();\n\t\tfor (var i = 0; i < inst.length; i += 1) {\n\t\t\tinst[i].trigger(eventNames);\n\t\t}\n\t},\n\n\n\t_pointerMoveEvent : {\n\t\tmouse: 'mousemove',\n\t\ttouch: 'touchmove'\n\t},\n\t_pointerEndEvent : {\n\t\tmouse: 'mouseup',\n\t\ttouch: 'touchend'\n\t},\n\n\n\t_pointerOrigin : null,\n\t_capturedTarget : null,\n\n\n\tonDocumentKeyUp : function (e) {\n\t\tif (['Tab', 'Escape'].indexOf(jsc.eventKey(e)) !== -1) {\n\t\t\tif (jsc.picker && jsc.picker.owner) {\n\t\t\t\tjsc.picker.owner.tryHide();\n\t\t\t}\n\t\t}\n\t},\n\n\n\tonWindowResize : function (e) {\n\t\tjsc.redrawPosition();\n\t},\n\n\n\tonWindowScroll : function (e) {\n\t\tjsc.redrawPosition();\n\t},\n\n\n\tonParentScroll : function (e) {\n\t\t// hide the picker when one of the parent elements is scrolled\n\t\tif (jsc.picker && jsc.picker.owner) {\n\t\t\tjsc.picker.owner.tryHide();\n\t\t}\n\t},\n\n\n\tonDocumentMouseDown : function (e) {\n\t\tvar target = e.target || e.srcElement;\n\n\t\tif (target.jscolor && target.jscolor instanceof jsc.pub) { // clicked targetElement -> show picker\n\t\t\tif (target.jscolor.showOnClick && !target.disabled) {\n\t\t\t\ttarget.jscolor.show();\n\t\t\t}\n\t\t} else if (jsc.getData(target, 'gui')) { // clicked jscolor's GUI element\n\t\t\tvar control = jsc.getData(target, 'control');\n\t\t\tif (control) {\n\t\t\t\t// jscolor's control\n\t\t\t\tjsc.onControlPointerStart(e, target, jsc.getData(target, 'control'), 'mouse');\n\t\t\t}\n\t\t} else {\n\t\t\t// mouse is outside the picker's controls -> hide the color picker!\n\t\t\tif (jsc.picker && jsc.picker.owner) {\n\t\t\t\tjsc.picker.owner.tryHide();\n\t\t\t}\n\t\t}\n\t},\n\n\n\tonPickerTouchStart : function (e) {\n\t\tvar target = e.target || e.srcElement;\n\n\t\tif (jsc.getData(target, 'control')) {\n\t\t\tjsc.onControlPointerStart(e, target, jsc.getData(target, 'control'), 'touch');\n\t\t}\n\t},\n\n\n\tonControlPointerStart : function (e, target, controlName, pointerType) {\n\t\tvar thisObj = jsc.getData(target, 'instance');\n\n\t\tjsc.preventDefault(e);\n\t\tjsc.captureTarget(target);\n\n\t\tvar registerDragEvents = function (doc, offset) {\n\t\t\tjsc.attachGroupEvent('drag', doc, jsc._pointerMoveEvent[pointerType],\n\t\t\t\tjsc.onDocumentPointerMove(e, target, controlName, pointerType, offset));\n\t\t\tjsc.attachGroupEvent('drag', doc, jsc._pointerEndEvent[pointerType],\n\t\t\t\tjsc.onDocumentPointerEnd(e, target, controlName, pointerType));\n\t\t};\n\n\t\tregisterDragEvents(window.document, [0, 0]);\n\n\t\tif (window.parent && window.frameElement) {\n\t\t\tvar rect = window.frameElement.getBoundingClientRect();\n\t\t\tvar ofs = [-rect.left, -rect.top];\n\t\t\tregisterDragEvents(window.parent.window.document, ofs);\n\t\t}\n\n\t\tvar abs = jsc.getAbsPointerPos(e);\n\t\tvar rel = jsc.getRelPointerPos(e);\n\t\tjsc._pointerOrigin = {\n\t\t\tx: abs.x - rel.x,\n\t\t\ty: abs.y - rel.y\n\t\t};\n\n\t\tswitch (controlName) {\n\t\tcase 'pad':\n\t\t\t// if the value slider is at the bottom, move it up\n\t\t\tif (jsc.getSliderChannel(thisObj) === 'v' && thisObj.channels.v === 0) {\n\t\t\t\tthisObj.fromHSVA(null, null, 100, null);\n\t\t\t}\n\t\t\tjsc.setPad(thisObj, e, 0, 0);\n\t\t\tbreak;\n\n\t\tcase 'sld':\n\t\t\tjsc.setSld(thisObj, e, 0);\n\t\t\tbreak;\n\n\t\tcase 'asld':\n\t\t\tjsc.setASld(thisObj, e, 0);\n\t\t\tbreak;\n\t\t}\n\t\tthisObj.trigger('input');\n\t},\n\n\n\tonDocumentPointerMove : function (e, target, controlName, pointerType, offset) {\n\t\treturn function (e) {\n\t\t\tvar thisObj = jsc.getData(target, 'instance');\n\t\t\tswitch (controlName) {\n\t\t\tcase 'pad':\n\t\t\t\tjsc.setPad(thisObj, e, offset[0], offset[1]);\n\t\t\t\tbreak;\n\n\t\t\tcase 'sld':\n\t\t\t\tjsc.setSld(thisObj, e, offset[1]);\n\t\t\t\tbreak;\n\n\t\t\tcase 'asld':\n\t\t\t\tjsc.setASld(thisObj, e, offset[1]);\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tthisObj.trigger('input');\n\t\t}\n\t},\n\n\n\tonDocumentPointerEnd : function (e, target, controlName, pointerType) {\n\t\treturn function (e) {\n\t\t\tvar thisObj = jsc.getData(target, 'instance');\n\t\t\tjsc.detachGroupEvents('drag');\n\t\t\tjsc.releaseTarget();\n\n\t\t\t// Always trigger changes AFTER detaching outstanding mouse handlers,\n\t\t\t// in case some color change that occured in user-defined onChange/onInput handler\n\t\t\t// intruded into current mouse events\n\t\t\tthisObj.trigger('input');\n\t\t\tthisObj.trigger('change');\n\t\t};\n\t},\n\n\n\tonPaletteSampleClick : function (e) {\n\t\tvar target = e.currentTarget;\n\t\tvar thisObj = jsc.getData(target, 'instance');\n\t\tvar color = jsc.getData(target, 'color');\n\n\t\t// when format is flexible, use the original format of this color sample\n\t\tif (thisObj.format.toLowerCase() === 'any') {\n\t\t\tthisObj._setFormat(color.format); // adapt format\n\t\t\tif (!jsc.isAlphaFormat(thisObj.getFormat())) {\n\t\t\t\tcolor.rgba[3] = 1.0; // when switching to a format that doesn't support alpha, set full opacity\n\t\t\t}\n\t\t}\n\n\t\t// if this color doesn't specify alpha, use alpha of 1.0 (if applicable)\n\t\tif (color.rgba[3] === null) {\n\t\t\tif (thisObj.paletteSetsAlpha === true || (thisObj.paletteSetsAlpha === 'auto' && thisObj._paletteHasTransparency)) {\n\t\t\t\tcolor.rgba[3] = 1.0;\n\t\t\t}\n\t\t}\n\n\t\tthisObj.fromRGBA.apply(thisObj, color.rgba);\n\n\t\tthisObj.trigger('input');\n\t\tthisObj.trigger('change');\n\n\t\tif (thisObj.hideOnPaletteClick) {\n\t\t\tthisObj.hide();\n\t\t}\n\t},\n\n\n\tsetPad : function (thisObj, e, ofsX, ofsY) {\n\t\tvar pointerAbs = jsc.getAbsPointerPos(e);\n\t\tvar x = ofsX + pointerAbs.x - jsc._pointerOrigin.x - thisObj.padding - thisObj.controlBorderWidth;\n\t\tvar y = ofsY + pointerAbs.y - jsc._pointerOrigin.y - thisObj.padding - thisObj.controlBorderWidth;\n\n\t\tvar xVal = x * (360 / (thisObj.width - 1));\n\t\tvar yVal = 100 - (y * (100 / (thisObj.height - 1)));\n\n\t\tswitch (jsc.getPadYChannel(thisObj)) {\n\t\tcase 's': thisObj.fromHSVA(xVal, yVal, null, null); break;\n\t\tcase 'v': thisObj.fromHSVA(xVal, null, yVal, null); break;\n\t\t}\n\t},\n\n\n\tsetSld : function (thisObj, e, ofsY) {\n\t\tvar pointerAbs = jsc.getAbsPointerPos(e);\n\t\tvar y = ofsY + pointerAbs.y - jsc._pointerOrigin.y - thisObj.padding - thisObj.controlBorderWidth;\n\t\tvar yVal = 100 - (y * (100 / (thisObj.height - 1)));\n\n\t\tswitch (jsc.getSliderChannel(thisObj)) {\n\t\tcase 's': thisObj.fromHSVA(null, yVal, null, null); break;\n\t\tcase 'v': thisObj.fromHSVA(null, null, yVal, null); break;\n\t\t}\n\t},\n\n\n\tsetASld : function (thisObj, e, ofsY) {\n\t\tvar pointerAbs = jsc.getAbsPointerPos(e);\n\t\tvar y = ofsY + pointerAbs.y - jsc._pointerOrigin.y - thisObj.padding - thisObj.controlBorderWidth;\n\t\tvar yVal = 1.0 - (y * (1.0 / (thisObj.height - 1)));\n\n\t\tif (yVal < 1.0) {\n\t\t\t// if format is flexible and the current format doesn't support alpha, switch to a suitable one\n\t\t\tvar fmt = thisObj.getFormat();\n\t\t\tif (thisObj.format.toLowerCase() === 'any' && !jsc.isAlphaFormat(fmt)) {\n\t\t\t\tthisObj._setFormat(fmt === 'hex' ? 'hexa' : 'rgba');\n\t\t\t}\n\t\t}\n\n\t\tthisObj.fromHSVA(null, null, null, yVal);\n\t},\n\n\n\tcreatePadCanvas : function () {\n\n\t\tvar ret = {\n\t\t\telm: null,\n\t\t\tdraw: null\n\t\t};\n\n\t\tvar canvas = jsc.createEl('canvas');\n\t\tvar ctx = canvas.getContext('2d');\n\n\t\tvar drawFunc = function (width, height, type) {\n\t\t\tcanvas.width = width;\n\t\t\tcanvas.height = height;\n\n\t\t\tctx.clearRect(0, 0, canvas.width, canvas.height);\n\n\t\t\tvar hGrad = ctx.createLinearGradient(0, 0, canvas.width, 0);\n\t\t\thGrad.addColorStop(0 / 6, '#F00');\n\t\t\thGrad.addColorStop(1 / 6, '#FF0');\n\t\t\thGrad.addColorStop(2 / 6, '#0F0');\n\t\t\thGrad.addColorStop(3 / 6, '#0FF');\n\t\t\thGrad.addColorStop(4 / 6, '#00F');\n\t\t\thGrad.addColorStop(5 / 6, '#F0F');\n\t\t\thGrad.addColorStop(6 / 6, '#F00');\n\n\t\t\tctx.fillStyle = hGrad;\n\t\t\tctx.fillRect(0, 0, canvas.width, canvas.height);\n\n\t\t\tvar vGrad = ctx.createLinearGradient(0, 0, 0, canvas.height);\n\t\t\tswitch (type.toLowerCase()) {\n\t\t\tcase 's':\n\t\t\t\tvGrad.addColorStop(0, 'rgba(255,255,255,0)');\n\t\t\t\tvGrad.addColorStop(1, 'rgba(255,255,255,1)');\n\t\t\t\tbreak;\n\t\t\tcase 'v':\n\t\t\t\tvGrad.addColorStop(0, 'rgba(0,0,0,0)');\n\t\t\t\tvGrad.addColorStop(1, 'rgba(0,0,0,1)');\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tctx.fillStyle = vGrad;\n\t\t\tctx.fillRect(0, 0, canvas.width, canvas.height);\n\t\t};\n\n\t\tret.elm = canvas;\n\t\tret.draw = drawFunc;\n\n\t\treturn ret;\n\t},\n\n\n\tcreateSliderGradient : function () {\n\n\t\tvar ret = {\n\t\t\telm: null,\n\t\t\tdraw: null\n\t\t};\n\n\t\tvar canvas = jsc.createEl('canvas');\n\t\tvar ctx = canvas.getContext('2d');\n\n\t\tvar drawFunc = function (width, height, color1, color2) {\n\t\t\tcanvas.width = width;\n\t\t\tcanvas.height = height;\n\n\t\t\tctx.clearRect(0, 0, canvas.width, canvas.height);\n\n\t\t\tvar grad = ctx.createLinearGradient(0, 0, 0, canvas.height);\n\t\t\tgrad.addColorStop(0, color1);\n\t\t\tgrad.addColorStop(1, color2);\n\n\t\t\tctx.fillStyle = grad;\n\t\t\tctx.fillRect(0, 0, canvas.width, canvas.height);\n\t\t};\n\n\t\tret.elm = canvas;\n\t\tret.draw = drawFunc;\n\n\t\treturn ret;\n\t},\n\n\n\tcreateASliderGradient : function () {\n\n\t\tvar ret = {\n\t\t\telm: null,\n\t\t\tdraw: null\n\t\t};\n\n\t\tvar canvas = jsc.createEl('canvas');\n\t\tvar ctx = canvas.getContext('2d');\n\n\t\tvar drawFunc = function (width, height, color) {\n\t\t\tcanvas.width = width;\n\t\t\tcanvas.height = height;\n\n\t\t\tctx.clearRect(0, 0, canvas.width, canvas.height);\n\n\t\t\tvar sqSize = canvas.width / 2;\n\t\t\tvar sqColor1 = jsc.pub.chessboardColor1;\n\t\t\tvar sqColor2 = jsc.pub.chessboardColor2;\n\n\t\t\t// dark gray background\n\t\t\tctx.fillStyle = sqColor1;\n\t\t\tctx.fillRect(0, 0, canvas.width, canvas.height);\n\n\t\t\tif (sqSize > 0) { // to avoid infinite loop\n\t\t\t\tfor (var y = 0; y < canvas.height; y += sqSize * 2) {\n\t\t\t\t\t// light gray squares\n\t\t\t\t\tctx.fillStyle = sqColor2;\n\t\t\t\t\tctx.fillRect(0, y, sqSize, sqSize);\n\t\t\t\t\tctx.fillRect(sqSize, y + sqSize, sqSize, sqSize);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tvar grad = ctx.createLinearGradient(0, 0, 0, canvas.height);\n\t\t\tgrad.addColorStop(0, color);\n\t\t\tgrad.addColorStop(1, 'rgba(0,0,0,0)');\n\n\t\t\tctx.fillStyle = grad;\n\t\t\tctx.fillRect(0, 0, canvas.width, canvas.height);\n\t\t};\n\n\t\tret.elm = canvas;\n\t\tret.draw = drawFunc;\n\n\t\treturn ret;\n\t},\n\n\n\tBoxShadow : (function () {\n\t\tvar BoxShadow = function (hShadow, vShadow, blur, spread, color, inset) {\n\t\t\tthis.hShadow = hShadow;\n\t\t\tthis.vShadow = vShadow;\n\t\t\tthis.blur = blur;\n\t\t\tthis.spread = spread;\n\t\t\tthis.color = color;\n\t\t\tthis.inset = !!inset;\n\t\t};\n\n\t\tBoxShadow.prototype.toString = function () {\n\t\t\tvar vals = [\n\t\t\t\tMath.round(this.hShadow) + 'px',\n\t\t\t\tMath.round(this.vShadow) + 'px',\n\t\t\t\tMath.round(this.blur) + 'px',\n\t\t\t\tMath.round(this.spread) + 'px',\n\t\t\t\tthis.color\n\t\t\t];\n\t\t\tif (this.inset) {\n\t\t\t\tvals.push('inset');\n\t\t\t}\n\t\t\treturn vals.join(' ');\n\t\t};\n\n\t\treturn BoxShadow;\n\t})(),\n\n\n\tflags : {\n\t\tleaveValue : 1 << 0,\n\t\tleaveAlpha : 1 << 1,\n\t\tleavePreview : 1 << 2,\n\t},\n\n\n\tenumOpts : {\n\t\tformat: ['auto', 'any', 'hex', 'hexa', 'rgb', 'rgba'],\n\t\tpreviewPosition: ['left', 'right'],\n\t\tmode: ['hsv', 'hvs', 'hs', 'hv'],\n\t\tposition: ['left', 'right', 'top', 'bottom'],\n\t\talphaChannel: ['auto', true, false],\n\t\tpaletteSetsAlpha: ['auto', true, false],\n\t},\n\n\n\tdeprecatedOpts : {\n\t\t// <old_option>: <new_option>  (<new_option> can be null)\n\t\t'styleElement': 'previewElement',\n\t\t'onFineChange': 'onInput',\n\t\t'overwriteImportant': 'forceStyle',\n\t\t'closable': 'closeButton',\n\t\t'insetWidth': 'controlBorderWidth',\n\t\t'insetColor': 'controlBorderColor',\n\t\t'refine': null,\n\t},\n\n\n\tdocsRef : ' ' + 'See https://jscolor.com/docs/',\n\n\n\t//\n\t// Usage:\n\t// var myPicker = new JSColor(<targetElement> [, <options>])\n\t//\n\t// (constructor is accessible via both 'jscolor' and 'JSColor' name)\n\t//\n\n\tpub : function (targetElement, opts) {\n\n\t\tvar THIS = this;\n\n\t\tif (!opts) {\n\t\t\topts = {};\n\t\t}\n\n\t\tthis.channels = {\n\t\t\tr: 255, // red [0-255]\n\t\t\tg: 255, // green [0-255]\n\t\t\tb: 255, // blue [0-255]\n\t\t\th: 0, // hue [0-360]\n\t\t\ts: 0, // saturation [0-100]\n\t\t\tv: 100, // value (brightness) [0-100]\n\t\t\ta: 1.0, // alpha (opacity) [0.0 - 1.0]\n\t\t};\n\n\t\t// General options\n\t\t//\n\t\tthis.format = 'auto'; // 'auto' | 'any' | 'hex' | 'hexa' | 'rgb' | 'rgba' - Format of the input/output value\n\t\tthis.value = undefined; // INITIAL color value in any supported format. To change it later, use method fromString(), fromHSVA(), fromRGBA() or channel()\n\t\tthis.alpha = undefined; // INITIAL alpha value. To change it later, call method channel('A', <value>)\n\t\tthis.random = false; // whether to randomize the initial color. Either true | false, or an array of ranges: [minV, maxV, minS, maxS, minH, maxH, minA, maxA]\n\t\tthis.onChange = undefined; // called when color changes. Value can be either a function or a string with JS code.\n\t\tthis.onInput = undefined; // called repeatedly as the color is being changed, e.g. while dragging a slider. Value can be either a function or a string with JS code.\n\t\tthis.valueElement = undefined; // element that will be used to display and input the color value\n\t\tthis.alphaElement = undefined; // element that will be used to display and input the alpha (opacity) value\n\t\tthis.previewElement = undefined; // element that will preview the picked color using CSS background\n\t\tthis.previewPosition = 'left'; // 'left' | 'right' - position of the color preview in previewElement\n\t\tthis.previewSize = 32; // (px) width of the color preview displayed in previewElement\n\t\tthis.previewPadding = 8; // (px) space between color preview and content of the previewElement\n\t\tthis.required = true; // whether the associated text input must always contain a color value. If false, the input can be left empty.\n\t\tthis.hash = true; // whether to prefix the HEX color code with # symbol (only applicable for HEX format)\n\t\tthis.uppercase = true; // whether to show the HEX color code in upper case (only applicable for HEX format)\n\t\tthis.forceStyle = true; // whether to overwrite CSS style of the previewElement using !important flag\n\n\t\t// Color Picker options\n\t\t//\n\t\tthis.width = 181; // width of the color spectrum (in px)\n\t\tthis.height = 101; // height of the color spectrum (in px)\n\t\tthis.mode = 'HSV'; // 'HSV' | 'HVS' | 'HS' | 'HV' - layout of the color picker controls\n\t\tthis.alphaChannel = 'auto'; // 'auto' | true | false - if alpha channel is enabled, the alpha slider will be visible. If 'auto', it will be determined according to color format\n\t\tthis.position = 'bottom'; // 'left' | 'right' | 'top' | 'bottom' - position relative to the target element\n\t\tthis.smartPosition = true; // automatically change picker position when there is not enough space for it\n\t\tthis.showOnClick = true; // whether to show the picker when user clicks its target element\n\t\tthis.hideOnLeave = true; // whether to automatically hide the picker when user leaves its target element (e.g. upon clicking the document)\n\t\tthis.palette = []; // colors to be displayed in the palette, specified as an array or a string of space separated color values (in any supported format)\n\t\tthis.paletteCols = 10; // number of columns in the palette\n\t\tthis.paletteSetsAlpha = 'auto'; // 'auto' | true | false - if true, palette colors that don't specify alpha will set alpha to 1.0\n\t\tthis.paletteHeight = 16; // maximum height (px) of a row in the palette\n\t\tthis.paletteSpacing = 4; // distance (px) between color samples in the palette\n\t\tthis.hideOnPaletteClick = false; // when set to true, clicking the palette will also hide the color picker\n\t\tthis.sliderSize = 16; // px\n\t\tthis.crossSize = 8; // px\n\t\tthis.closeButton = false; // whether to display the Close button\n\t\tthis.closeText = 'Close';\n\t\tthis.buttonColor = 'rgba(0,0,0,1)'; // CSS color\n\t\tthis.buttonHeight = 18; // px\n\t\tthis.padding = 12; // px\n\t\tthis.backgroundColor = 'rgba(255,255,255,1)'; // CSS color\n\t\tthis.borderWidth = 1; // px\n\t\tthis.borderColor = 'rgba(187,187,187,1)'; // CSS color\n\t\tthis.borderRadius = 8; // px\n\t\tthis.controlBorderWidth = 1; // px\n\t\tthis.controlBorderColor = 'rgba(187,187,187,1)'; // CSS color\n\t\tthis.shadow = true; // whether to display a shadow\n\t\tthis.shadowBlur = 15; // px\n\t\tthis.shadowColor = 'rgba(0,0,0,0.2)'; // CSS color\n\t\tthis.pointerColor = 'rgba(76,76,76,1)'; // CSS color\n\t\tthis.pointerBorderWidth = 1; // px\n\t\tthis.pointerBorderColor = 'rgba(255,255,255,1)'; // CSS color\n\t\tthis.pointerThickness = 2; // px\n\t\tthis.zIndex = 5000;\n\t\tthis.container = undefined; // where to append the color picker (BODY element by default)\n\n\t\t// Experimental\n\t\t//\n\t\tthis.minS = 0; // min allowed saturation (0 - 100)\n\t\tthis.maxS = 100; // max allowed saturation (0 - 100)\n\t\tthis.minV = 0; // min allowed value (brightness) (0 - 100)\n\t\tthis.maxV = 100; // max allowed value (brightness) (0 - 100)\n\t\tthis.minA = 0.0; // min allowed alpha (opacity) (0.0 - 1.0)\n\t\tthis.maxA = 1.0; // max allowed alpha (opacity) (0.0 - 1.0)\n\n\n\t\t// Getter: option(name)\n\t\t// Setter: option(name, value)\n\t\t//         option({name:value, ...})\n\t\t//\n\t\tthis.option = function () {\n\t\t\tif (!arguments.length) {\n\t\t\t\tthrow new Error('No option specified');\n\t\t\t}\n\n\t\t\tif (arguments.length === 1 && typeof arguments[0] === 'string') {\n\t\t\t\t// getting a single option\n\t\t\t\ttry {\n\t\t\t\t\treturn getOption(arguments[0]);\n\t\t\t\t} catch (e) {\n\t\t\t\t\tconsole.warn(e);\n\t\t\t\t}\n\t\t\t\treturn false;\n\n\t\t\t} else if (arguments.length >= 2 && typeof arguments[0] === 'string') {\n\t\t\t\t// setting a single option\n\t\t\t\ttry {\n\t\t\t\t\tif (!setOption(arguments[0], arguments[1])) {\n\t\t\t\t\t\treturn false;\n\t\t\t\t\t}\n\t\t\t\t} catch (e) {\n\t\t\t\t\tconsole.warn(e);\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\tthis.redraw(); // immediately redraws the picker, if it's displayed\n\t\t\t\tthis.exposeColor(); // in case some preview-related or format-related option was changed\n\t\t\t\treturn true;\n\n\t\t\t} else if (arguments.length === 1 && typeof arguments[0] === 'object') {\n\t\t\t\t// setting multiple options\n\t\t\t\tvar opts = arguments[0];\n\t\t\t\tvar success = true;\n\t\t\t\tfor (var opt in opts) {\n\t\t\t\t\tif (opts.hasOwnProperty(opt)) {\n\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\tif (!setOption(opt, opts[opt])) {\n\t\t\t\t\t\t\t\tsuccess = false;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t} catch (e) {\n\t\t\t\t\t\t\tconsole.warn(e);\n\t\t\t\t\t\t\tsuccess = false;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tthis.redraw(); // immediately redraws the picker, if it's displayed\n\t\t\t\tthis.exposeColor(); // in case some preview-related or format-related option was changed\n\t\t\t\treturn success;\n\t\t\t}\n\n\t\t\tthrow new Error('Invalid arguments');\n\t\t}\n\n\n\t\t// Getter: channel(name)\n\t\t// Setter: channel(name, value)\n\t\t//\n\t\tthis.channel = function (name, value) {\n\t\t\tif (typeof name !== 'string') {\n\t\t\t\tthrow new Error('Invalid value for channel name: ' + name);\n\t\t\t}\n\n\t\t\tif (value === undefined) {\n\t\t\t\t// getting channel value\n\t\t\t\tif (!this.channels.hasOwnProperty(name.toLowerCase())) {\n\t\t\t\t\tconsole.warn('Getting unknown channel: ' + name);\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\treturn this.channels[name.toLowerCase()];\n\n\t\t\t} else {\n\t\t\t\t// setting channel value\n\t\t\t\tvar res = false;\n\t\t\t\tswitch (name.toLowerCase()) {\n\t\t\t\t\tcase 'r': res = this.fromRGBA(value, null, null, null); break;\n\t\t\t\t\tcase 'g': res = this.fromRGBA(null, value, null, null); break;\n\t\t\t\t\tcase 'b': res = this.fromRGBA(null, null, value, null); break;\n\t\t\t\t\tcase 'h': res = this.fromHSVA(value, null, null, null); break;\n\t\t\t\t\tcase 's': res = this.fromHSVA(null, value, null, null); break;\n\t\t\t\t\tcase 'v': res = this.fromHSVA(null, null, value, null); break;\n\t\t\t\t\tcase 'a': res = this.fromHSVA(null, null, null, value); break;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tconsole.warn('Setting unknown channel: ' + name);\n\t\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\tif (res) {\n\t\t\t\t\tthis.redraw(); // immediately redraws the picker, if it's displayed\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\treturn false;\n\t\t}\n\n\n\t\t// Triggers given input event(s) by:\n\t\t// - executing on<Event> callback specified as picker's option\n\t\t// - triggering standard DOM event listeners attached to the value element\n\t\t//\n\t\t// It is possible to specify multiple events separated with a space.\n\t\t//\n\t\tthis.trigger = function (eventNames) {\n\t\t\tvar evs = jsc.strList(eventNames);\n\t\t\tfor (var i = 0; i < evs.length; i += 1) {\n\t\t\t\tvar ev = evs[i].toLowerCase();\n\n\t\t\t\t// trigger a callback\n\t\t\t\tvar callbackProp = null;\n\t\t\t\tswitch (ev) {\n\t\t\t\t\tcase 'input': callbackProp = 'onInput'; break;\n\t\t\t\t\tcase 'change': callbackProp = 'onChange'; break;\n\t\t\t\t}\n\t\t\t\tif (callbackProp) {\n\t\t\t\t\tjsc.triggerCallback(this, callbackProp);\n\t\t\t\t}\n\n\t\t\t\t// trigger standard DOM event listeners on the value element\n\t\t\t\tjsc.triggerInputEvent(this.valueElement, ev, true, true);\n\t\t\t}\n\t\t};\n\n\n\t\t// h: 0-360\n\t\t// s: 0-100\n\t\t// v: 0-100\n\t\t// a: 0.0-1.0\n\t\t//\n\t\tthis.fromHSVA = function (h, s, v, a, flags) { // null = don't change\n\t\t\tif (h === undefined) { h = null; }\n\t\t\tif (s === undefined) { s = null; }\n\t\t\tif (v === undefined) { v = null; }\n\t\t\tif (a === undefined) { a = null; }\n\n\t\t\tif (h !== null) {\n\t\t\t\tif (isNaN(h)) { return false; }\n\t\t\t\tthis.channels.h = Math.max(0, Math.min(360, h));\n\t\t\t}\n\t\t\tif (s !== null) {\n\t\t\t\tif (isNaN(s)) { return false; }\n\t\t\t\tthis.channels.s = Math.max(0, Math.min(100, this.maxS, s), this.minS);\n\t\t\t}\n\t\t\tif (v !== null) {\n\t\t\t\tif (isNaN(v)) { return false; }\n\t\t\t\tthis.channels.v = Math.max(0, Math.min(100, this.maxV, v), this.minV);\n\t\t\t}\n\t\t\tif (a !== null) {\n\t\t\t\tif (isNaN(a)) { return false; }\n\t\t\t\tthis.channels.a = this.hasAlphaChannel() ?\n\t\t\t\t\tMath.max(0, Math.min(1, this.maxA, a), this.minA) :\n\t\t\t\t\t1.0; // if alpha channel is disabled, the color should stay 100% opaque\n\t\t\t}\n\n\t\t\tvar rgb = jsc.HSV_RGB(\n\t\t\t\tthis.channels.h,\n\t\t\t\tthis.channels.s,\n\t\t\t\tthis.channels.v\n\t\t\t);\n\t\t\tthis.channels.r = rgb[0];\n\t\t\tthis.channels.g = rgb[1];\n\t\t\tthis.channels.b = rgb[2];\n\n\t\t\tthis.exposeColor(flags);\n\t\t\treturn true;\n\t\t};\n\n\n\t\t// r: 0-255\n\t\t// g: 0-255\n\t\t// b: 0-255\n\t\t// a: 0.0-1.0\n\t\t//\n\t\tthis.fromRGBA = function (r, g, b, a, flags) { // null = don't change\n\t\t\tif (r === undefined) { r = null; }\n\t\t\tif (g === undefined) { g = null; }\n\t\t\tif (b === undefined) { b = null; }\n\t\t\tif (a === undefined) { a = null; }\n\n\t\t\tif (r !== null) {\n\t\t\t\tif (isNaN(r)) { return false; }\n\t\t\t\tr = Math.max(0, Math.min(255, r));\n\t\t\t}\n\t\t\tif (g !== null) {\n\t\t\t\tif (isNaN(g)) { return false; }\n\t\t\t\tg = Math.max(0, Math.min(255, g));\n\t\t\t}\n\t\t\tif (b !== null) {\n\t\t\t\tif (isNaN(b)) { return false; }\n\t\t\t\tb = Math.max(0, Math.min(255, b));\n\t\t\t}\n\t\t\tif (a !== null) {\n\t\t\t\tif (isNaN(a)) { return false; }\n\t\t\t\tthis.channels.a = this.hasAlphaChannel() ?\n\t\t\t\t\tMath.max(0, Math.min(1, this.maxA, a), this.minA) :\n\t\t\t\t\t1.0; // if alpha channel is disabled, the color should stay 100% opaque\n\t\t\t}\n\n\t\t\tvar hsv = jsc.RGB_HSV(\n\t\t\t\tr===null ? this.channels.r : r,\n\t\t\t\tg===null ? this.channels.g : g,\n\t\t\t\tb===null ? this.channels.b : b\n\t\t\t);\n\t\t\tif (hsv[0] !== null) {\n\t\t\t\tthis.channels.h = Math.max(0, Math.min(360, hsv[0]));\n\t\t\t}\n\t\t\tif (hsv[2] !== 0) { // fully black color stays black through entire saturation range, so let's not change saturation\n\t\t\t\tthis.channels.s = Math.max(0, this.minS, Math.min(100, this.maxS, hsv[1]));\n\t\t\t}\n\t\t\tthis.channels.v = Math.max(0, this.minV, Math.min(100, this.maxV, hsv[2]));\n\n\t\t\t// update RGB according to final HSV, as some values might be trimmed\n\t\t\tvar rgb = jsc.HSV_RGB(this.channels.h, this.channels.s, this.channels.v);\n\t\t\tthis.channels.r = rgb[0];\n\t\t\tthis.channels.g = rgb[1];\n\t\t\tthis.channels.b = rgb[2];\n\n\t\t\tthis.exposeColor(flags);\n\t\t\treturn true;\n\t\t};\n\n\n\t\t// DEPRECATED. Use .fromHSVA() instead\n\t\t//\n\t\tthis.fromHSV = function (h, s, v, flags) {\n\t\t\tconsole.warn('fromHSV() method is DEPRECATED. Using fromHSVA() instead.' + jsc.docsRef);\n\t\t\treturn this.fromHSVA(h, s, v, null, flags);\n\t\t};\n\n\n\t\t// DEPRECATED. Use .fromRGBA() instead\n\t\t//\n\t\tthis.fromRGB = function (r, g, b, flags) {\n\t\t\tconsole.warn('fromRGB() method is DEPRECATED. Using fromRGBA() instead.' + jsc.docsRef);\n\t\t\treturn this.fromRGBA(r, g, b, null, flags);\n\t\t};\n\n\n\t\tthis.fromString = function (str, flags) {\n\t\t\tif (!this.required && str.trim() === '') {\n\t\t\t\t// setting empty string to an optional color input\n\t\t\t\tthis.setPreviewElementBg(null);\n\t\t\t\tthis.setValueElementValue('');\n\t\t\t\treturn true;\n\t\t\t}\n\n\t\t\tvar color = jsc.parseColorString(str);\n\t\t\tif (!color) {\n\t\t\t\treturn false; // could not parse\n\t\t\t}\n\t\t\tif (this.format.toLowerCase() === 'any') {\n\t\t\t\tthis._setFormat(color.format); // adapt format\n\t\t\t\tif (!jsc.isAlphaFormat(this.getFormat())) {\n\t\t\t\t\tcolor.rgba[3] = 1.0; // when switching to a format that doesn't support alpha, set full opacity\n\t\t\t\t}\n\t\t\t}\n\t\t\tthis.fromRGBA(\n\t\t\t\tcolor.rgba[0],\n\t\t\t\tcolor.rgba[1],\n\t\t\t\tcolor.rgba[2],\n\t\t\t\tcolor.rgba[3],\n\t\t\t\tflags\n\t\t\t);\n\t\t\treturn true;\n\t\t};\n\n\n\t\tthis.randomize = function (minV, maxV, minS, maxS, minH, maxH, minA, maxA) {\n\t\t\tif (minV === undefined) { minV = 0; }\n\t\t\tif (maxV === undefined) { maxV = 100; }\n\t\t\tif (minS === undefined) { minS = 0; }\n\t\t\tif (maxS === undefined) { maxS = 100; }\n\t\t\tif (minH === undefined) { minH = 0; }\n\t\t\tif (maxH === undefined) { maxH = 359; }\n\t\t\tif (minA === undefined) { minA = 1; }\n\t\t\tif (maxA === undefined) { maxA = 1; }\n\n\t\t\tthis.fromHSVA(\n\t\t\t\tminH + Math.floor(Math.random() * (maxH - minH + 1)),\n\t\t\t\tminS + Math.floor(Math.random() * (maxS - minS + 1)),\n\t\t\t\tminV + Math.floor(Math.random() * (maxV - minV + 1)),\n\t\t\t\t((100 * minA) + Math.floor(Math.random() * (100 * (maxA - minA) + 1))) / 100\n\t\t\t);\n\t\t};\n\n\n\t\tthis.toString = function (format) {\n\t\t\tif (format === undefined) {\n\t\t\t\tformat = this.getFormat(); // format not specified -> use the current format\n\t\t\t}\n\t\t\tswitch (format.toLowerCase()) {\n\t\t\t\tcase 'hex': return this.toHEXString(); break;\n\t\t\t\tcase 'hexa': return this.toHEXAString(); break;\n\t\t\t\tcase 'rgb': return this.toRGBString(); break;\n\t\t\t\tcase 'rgba': return this.toRGBAString(); break;\n\t\t\t}\n\t\t\treturn false;\n\t\t};\n\n\n\t\tthis.toHEXString = function () {\n\t\t\treturn jsc.hexColor(\n\t\t\t\tthis.channels.r,\n\t\t\t\tthis.channels.g,\n\t\t\t\tthis.channels.b\n\t\t\t);\n\t\t};\n\n\n\t\tthis.toHEXAString = function () {\n\t\t\treturn jsc.hexaColor(\n\t\t\t\tthis.channels.r,\n\t\t\t\tthis.channels.g,\n\t\t\t\tthis.channels.b,\n\t\t\t\tthis.channels.a\n\t\t\t);\n\t\t};\n\n\n\t\tthis.toRGBString = function () {\n\t\t\treturn jsc.rgbColor(\n\t\t\t\tthis.channels.r,\n\t\t\t\tthis.channels.g,\n\t\t\t\tthis.channels.b\n\t\t\t);\n\t\t};\n\n\n\t\tthis.toRGBAString = function () {\n\t\t\treturn jsc.rgbaColor(\n\t\t\t\tthis.channels.r,\n\t\t\t\tthis.channels.g,\n\t\t\t\tthis.channels.b,\n\t\t\t\tthis.channels.a\n\t\t\t);\n\t\t};\n\n\n\t\tthis.toGrayscale = function () {\n\t\t\treturn (\n\t\t\t\t0.213 * this.channels.r +\n\t\t\t\t0.715 * this.channels.g +\n\t\t\t\t0.072 * this.channels.b\n\t\t\t);\n\t\t};\n\n\n\t\tthis.toCanvas = function () {\n\t\t\treturn jsc.genColorPreviewCanvas(this.toRGBAString()).canvas;\n\t\t};\n\n\n\t\tthis.toDataURL = function () {\n\t\t\treturn this.toCanvas().toDataURL();\n\t\t};\n\n\n\t\tthis.toBackground = function () {\n\t\t\treturn jsc.pub.background(this.toRGBAString());\n\t\t};\n\n\n\t\tthis.isLight = function () {\n\t\t\treturn this.toGrayscale() > 255 / 2;\n\t\t};\n\n\n\t\tthis.hide = function () {\n\t\t\tif (isPickerOwner()) {\n\t\t\t\tdetachPicker();\n\t\t\t}\n\t\t};\n\n\n\t\tthis.show = function () {\n\t\t\tdrawPicker();\n\t\t};\n\n\n\t\tthis.redraw = function () {\n\t\t\tif (isPickerOwner()) {\n\t\t\t\tdrawPicker();\n\t\t\t}\n\t\t};\n\n\n\t\tthis.getFormat = function () {\n\t\t\treturn this._currentFormat;\n\t\t};\n\n\n\t\tthis._setFormat = function (format) {\n\t\t\tthis._currentFormat = format.toLowerCase();\n\t\t};\n\n\n\t\tthis.hasAlphaChannel = function () {\n\t\t\tif (this.alphaChannel === 'auto') {\n\t\t\t\treturn (\n\t\t\t\t\tthis.format.toLowerCase() === 'any' || // format can change on the fly (e.g. from hex to rgba), so let's consider the alpha channel enabled\n\t\t\t\t\tjsc.isAlphaFormat(this.getFormat()) || // the current format supports alpha channel\n\t\t\t\t\tthis.alpha !== undefined || // initial alpha value is set, so we're working with alpha channel\n\t\t\t\t\tthis.alphaElement !== undefined // the alpha value is redirected, so we're working with alpha channel\n\t\t\t\t);\n\t\t\t}\n\n\t\t\treturn this.alphaChannel; // the alpha channel is explicitly set\n\t\t};\n\n\n\t\tthis.processValueInput = function (str) {\n\t\t\tif (!this.fromString(str)) {\n\t\t\t\t// could not parse the color value - let's just expose the current color\n\t\t\t\tthis.exposeColor();\n\t\t\t}\n\t\t};\n\n\n\t\tthis.processAlphaInput = function (str) {\n\t\t\tif (!this.fromHSVA(null, null, null, parseFloat(str))) {\n\t\t\t\t// could not parse the alpha value - let's just expose the current color\n\t\t\t\tthis.exposeColor();\n\t\t\t}\n\t\t};\n\n\n\t\tthis.exposeColor = function (flags) {\n\t\t\tvar colorStr = this.toString();\n\t\t\tvar fmt = this.getFormat();\n\n\t\t\t// reflect current color in data- attribute\n\t\t\tjsc.setDataAttr(this.targetElement, 'current-color', colorStr);\n\n\t\t\tif (!(flags & jsc.flags.leaveValue) && this.valueElement) {\n\t\t\t\tif (fmt === 'hex' || fmt === 'hexa') {\n\t\t\t\t\tif (!this.uppercase) { colorStr = colorStr.toLowerCase(); }\n\t\t\t\t\tif (!this.hash) { colorStr = colorStr.replace(/^#/, ''); }\n\t\t\t\t}\n\t\t\t\tthis.setValueElementValue(colorStr);\n\t\t\t}\n\n\t\t\tif (!(flags & jsc.flags.leaveAlpha) && this.alphaElement) {\n\t\t\t\tvar alphaVal = Math.round(this.channels.a * 100) / 100;\n\t\t\t\tthis.setAlphaElementValue(alphaVal);\n\t\t\t}\n\n\t\t\tif (!(flags & jsc.flags.leavePreview) && this.previewElement) {\n\t\t\t\tvar previewPos = null; // 'left' | 'right' (null -> fill the entire element)\n\n\t\t\t\tif (\n\t\t\t\t\tjsc.isTextInput(this.previewElement) || // text input\n\t\t\t\t\t(jsc.isButton(this.previewElement) && !jsc.isButtonEmpty(this.previewElement)) // button with text\n\t\t\t\t) {\n\t\t\t\t\tpreviewPos = this.previewPosition;\n\t\t\t\t}\n\n\t\t\t\tthis.setPreviewElementBg(this.toRGBAString());\n\t\t\t}\n\n\t\t\tif (isPickerOwner()) {\n\t\t\t\tredrawPad();\n\t\t\t\tredrawSld();\n\t\t\t\tredrawASld();\n\t\t\t}\n\t\t};\n\n\n\t\tthis.setPreviewElementBg = function (color) {\n\t\t\tif (!this.previewElement) {\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tvar position = null; // color preview position:  null | 'left' | 'right'\n\t\t\tvar width = null; // color preview width:  px | null = fill the entire element\n\t\t\tif (\n\t\t\t\tjsc.isTextInput(this.previewElement) || // text input\n\t\t\t\t(jsc.isButton(this.previewElement) && !jsc.isButtonEmpty(this.previewElement)) // button with text\n\t\t\t) {\n\t\t\t\tposition = this.previewPosition;\n\t\t\t\twidth = this.previewSize;\n\t\t\t}\n\n\t\t\tvar backgrounds = [];\n\n\t\t\tif (!color) {\n\t\t\t\t// there is no color preview to display -> let's remove any previous background image\n\t\t\t\tbackgrounds.push({\n\t\t\t\t\timage: 'none',\n\t\t\t\t\tposition: 'left top',\n\t\t\t\t\tsize: 'auto',\n\t\t\t\t\trepeat: 'no-repeat',\n\t\t\t\t\torigin: 'padding-box',\n\t\t\t\t});\n\t\t\t} else {\n\t\t\t\t// CSS gradient for background color preview\n\t\t\t\tbackgrounds.push({\n\t\t\t\t\timage: jsc.genColorPreviewGradient(\n\t\t\t\t\t\tcolor,\n\t\t\t\t\t\tposition,\n\t\t\t\t\t\twidth ? width - jsc.pub.previewSeparator.length : null\n\t\t\t\t\t),\n\t\t\t\t\tposition: 'left top',\n\t\t\t\t\tsize: 'auto',\n\t\t\t\t\trepeat: position ? 'repeat-y' : 'repeat',\n\t\t\t\t\torigin: 'padding-box',\n\t\t\t\t});\n\n\t\t\t\t// data URL of generated PNG image with a gray transparency chessboard\n\t\t\t\tvar preview = jsc.genColorPreviewCanvas(\n\t\t\t\t\t'rgba(0,0,0,0)',\n\t\t\t\t\tposition ? {'left':'right', 'right':'left'}[position] : null,\n\t\t\t\t\twidth,\n\t\t\t\t\ttrue\n\t\t\t\t);\n\t\t\t\tbackgrounds.push({\n\t\t\t\t\timage: 'url(\\'' + preview.canvas.toDataURL() + '\\')',\n\t\t\t\t\tposition: (position || 'left') + ' top',\n\t\t\t\t\tsize: preview.width + 'px ' + preview.height + 'px',\n\t\t\t\t\trepeat: position ? 'repeat-y' : 'repeat',\n\t\t\t\t\torigin: 'padding-box',\n\t\t\t\t});\n\t\t\t}\n\n\t\t\tvar bg = {\n\t\t\t\timage: [],\n\t\t\t\tposition: [],\n\t\t\t\tsize: [],\n\t\t\t\trepeat: [],\n\t\t\t\torigin: [],\n\t\t\t};\n\t\t\tfor (var i = 0; i < backgrounds.length; i += 1) {\n\t\t\t\tbg.image.push(backgrounds[i].image);\n\t\t\t\tbg.position.push(backgrounds[i].position);\n\t\t\t\tbg.size.push(backgrounds[i].size);\n\t\t\t\tbg.repeat.push(backgrounds[i].repeat);\n\t\t\t\tbg.origin.push(backgrounds[i].origin);\n\t\t\t}\n\n\t\t\t// set previewElement's background-images\n\t\t\tvar sty = {\n\t\t\t\t'background-image': bg.image.join(', '),\n\t\t\t\t'background-position': bg.position.join(', '),\n\t\t\t\t'background-size': bg.size.join(', '),\n\t\t\t\t'background-repeat': bg.repeat.join(', '),\n\t\t\t\t'background-origin': bg.origin.join(', '),\n\t\t\t};\n\t\t\tjsc.setStyle(this.previewElement, sty, this.forceStyle);\n\n\n\t\t\t// set/restore previewElement's padding\n\t\t\tvar padding = {\n\t\t\t\tleft: null,\n\t\t\t\tright: null,\n\t\t\t};\n\t\t\tif (position) {\n\t\t\t\tpadding[position] = (this.previewSize + this.previewPadding) + 'px';\n\t\t\t}\n\n\t\t\tvar sty = {\n\t\t\t\t'padding-left': padding.left,\n\t\t\t\t'padding-right': padding.right,\n\t\t\t};\n\t\t\tjsc.setStyle(this.previewElement, sty, this.forceStyle, true);\n\t\t};\n\n\n\t\tthis.setValueElementValue = function (str) {\n\t\t\tif (this.valueElement) {\n\t\t\t\tif (jsc.nodeName(this.valueElement) === 'input') {\n\t\t\t\t\tthis.valueElement.value = str;\n\t\t\t\t} else {\n\t\t\t\t\tthis.valueElement.innerHTML = str;\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\n\n\t\tthis.setAlphaElementValue = function (str) {\n\t\t\tif (this.alphaElement) {\n\t\t\t\tif (jsc.nodeName(this.alphaElement) === 'input') {\n\t\t\t\t\tthis.alphaElement.value = str;\n\t\t\t\t} else {\n\t\t\t\t\tthis.alphaElement.innerHTML = str;\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\n\n\t\tthis._processParentElementsInDOM = function () {\n\t\t\tif (this._parentElementsProcessed) { return; }\n\t\t\tthis._parentElementsProcessed = true;\n\n\t\t\tvar elm = this.targetElement;\n\t\t\tdo {\n\t\t\t\t// If the target element or one of its parent nodes has fixed position,\n\t\t\t\t// then use fixed positioning instead\n\t\t\t\tvar compStyle = jsc.getCompStyle(elm);\n\t\t\t\tif (compStyle.position && compStyle.position.toLowerCase() === 'fixed') {\n\t\t\t\t\tthis.fixed = true;\n\t\t\t\t}\n\n\t\t\t\tif (elm !== this.targetElement) {\n\t\t\t\t\t// Ensure to attach onParentScroll only once to each parent element\n\t\t\t\t\t// (multiple targetElements can share the same parent nodes)\n\t\t\t\t\t//\n\t\t\t\t\t// Note: It's not just offsetParents that can be scrollable,\n\t\t\t\t\t// that's why we loop through all parent nodes\n\t\t\t\t\tif (!jsc.getData(elm, 'hasScrollListener')) {\n\t\t\t\t\t\telm.addEventListener('scroll', jsc.onParentScroll, false);\n\t\t\t\t\t\tjsc.setData(elm, 'hasScrollListener', true);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t} while ((elm = elm.parentNode) && jsc.nodeName(elm) !== 'body');\n\t\t};\n\n\n\t\tthis.tryHide = function () {\n\t\t\tif (this.hideOnLeave) {\n\t\t\t\tthis.hide();\n\t\t\t}\n\t\t};\n\n\n\t\tthis.set__palette = function (val) {\n\t\t\tthis.palette = val;\n\t\t\tthis._palette = jsc.parsePaletteValue(val);\n\t\t\tthis._paletteHasTransparency = jsc.containsTranparentColor(this._palette);\n\t\t};\n\n\n\t\tfunction setOption (option, value) {\n\t\t\tif (typeof option !== 'string') {\n\t\t\t\tthrow new Error('Invalid value for option name: ' + option);\n\t\t\t}\n\n\t\t\t// enum option\n\t\t\tif (jsc.enumOpts.hasOwnProperty(option)) {\n\t\t\t\tif (typeof value === 'string') { // enum string values are case insensitive\n\t\t\t\t\tvalue = value.toLowerCase();\n\t\t\t\t}\n\t\t\t\tif (jsc.enumOpts[option].indexOf(value) === -1) {\n\t\t\t\t\tthrow new Error('Option \\'' + option + '\\' has invalid value: ' + value);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// deprecated option\n\t\t\tif (jsc.deprecatedOpts.hasOwnProperty(option)) {\n\t\t\t\tvar oldOpt = option;\n\t\t\t\tvar newOpt = jsc.deprecatedOpts[option];\n\t\t\t\tif (newOpt) {\n\t\t\t\t\t// if we have a new name for this option, let's log a warning and use the new name\n\t\t\t\t\tconsole.warn('Option \\'%s\\' is DEPRECATED, using \\'%s\\' instead.' + jsc.docsRef, oldOpt, newOpt);\n\t\t\t\t\toption = newOpt;\n\t\t\t\t} else {\n\t\t\t\t\t// new name not available for the option\n\t\t\t\t\tthrow new Error('Option \\'' + option + '\\' is DEPRECATED');\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tvar setter = 'set__' + option;\n\n\t\t\tif (typeof THIS[setter] === 'function') { // a setter exists for this option\n\t\t\t\tTHIS[setter](value);\n\t\t\t\treturn true;\n\n\t\t\t} else if (option in THIS) { // option exists as a property\n\t\t\t\tTHIS[option] = value;\n\t\t\t\treturn true;\n\t\t\t}\n\n\t\t\tthrow new Error('Unrecognized configuration option: ' + option);\n\t\t}\n\n\n\t\tfunction getOption (option) {\n\t\t\tif (typeof option !== 'string') {\n\t\t\t\tthrow new Error('Invalid value for option name: ' + option);\n\t\t\t}\n\n\t\t\t// deprecated option\n\t\t\tif (jsc.deprecatedOpts.hasOwnProperty(option)) {\n\t\t\t\tvar oldOpt = option;\n\t\t\t\tvar newOpt = jsc.deprecatedOpts[option];\n\t\t\t\tif (newOpt) {\n\t\t\t\t\t// if we have a new name for this option, let's log a warning and use the new name\n\t\t\t\t\tconsole.warn('Option \\'%s\\' is DEPRECATED, using \\'%s\\' instead.' + jsc.docsRef, oldOpt, newOpt);\n\t\t\t\t\toption = newOpt;\n\t\t\t\t} else {\n\t\t\t\t\t// new name not available for the option\n\t\t\t\t\tthrow new Error('Option \\'' + option + '\\' is DEPRECATED');\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tvar getter = 'get__' + option;\n\n\t\t\tif (typeof THIS[getter] === 'function') { // a getter exists for this option\n\t\t\t\treturn THIS[getter](value);\n\n\t\t\t} else if (option in THIS) { // option exists as a property\n\t\t\t\treturn THIS[option];\n\t\t\t}\n\n\t\t\tthrow new Error('Unrecognized configuration option: ' + option);\n\t\t}\n\n\n\t\tfunction detachPicker () {\n\t\t\tjsc.removeClass(THIS.targetElement, jsc.pub.activeClassName);\n\t\t\tjsc.picker.wrap.parentNode.removeChild(jsc.picker.wrap);\n\t\t\tdelete jsc.picker.owner;\n\t\t}\n\n\n\t\tfunction drawPicker () {\n\n\t\t\t// At this point, when drawing the picker, we know what the parent elements are\n\t\t\t// and we can do all related DOM operations, such as registering events on them\n\t\t\t// or checking their positioning\n\t\t\tTHIS._processParentElementsInDOM();\n\n\t\t\tif (!jsc.picker) {\n\t\t\t\tjsc.picker = {\n\t\t\t\t\towner: null, // owner picker instance\n\t\t\t\t\twrap : jsc.createEl('div'),\n\t\t\t\t\tbox : jsc.createEl('div'),\n\t\t\t\t\tboxS : jsc.createEl('div'), // shadow area\n\t\t\t\t\tboxB : jsc.createEl('div'), // border\n\t\t\t\t\tpad : jsc.createEl('div'),\n\t\t\t\t\tpadB : jsc.createEl('div'), // border\n\t\t\t\t\tpadM : jsc.createEl('div'), // mouse/touch area\n\t\t\t\t\tpadCanvas : jsc.createPadCanvas(),\n\t\t\t\t\tcross : jsc.createEl('div'),\n\t\t\t\t\tcrossBY : jsc.createEl('div'), // border Y\n\t\t\t\t\tcrossBX : jsc.createEl('div'), // border X\n\t\t\t\t\tcrossLY : jsc.createEl('div'), // line Y\n\t\t\t\t\tcrossLX : jsc.createEl('div'), // line X\n\t\t\t\t\tsld : jsc.createEl('div'), // slider\n\t\t\t\t\tsldB : jsc.createEl('div'), // border\n\t\t\t\t\tsldM : jsc.createEl('div'), // mouse/touch area\n\t\t\t\t\tsldGrad : jsc.createSliderGradient(),\n\t\t\t\t\tsldPtrS : jsc.createEl('div'), // slider pointer spacer\n\t\t\t\t\tsldPtrIB : jsc.createEl('div'), // slider pointer inner border\n\t\t\t\t\tsldPtrMB : jsc.createEl('div'), // slider pointer middle border\n\t\t\t\t\tsldPtrOB : jsc.createEl('div'), // slider pointer outer border\n\t\t\t\t\tasld : jsc.createEl('div'), // alpha slider\n\t\t\t\t\tasldB : jsc.createEl('div'), // border\n\t\t\t\t\tasldM : jsc.createEl('div'), // mouse/touch area\n\t\t\t\t\tasldGrad : jsc.createASliderGradient(),\n\t\t\t\t\tasldPtrS : jsc.createEl('div'), // slider pointer spacer\n\t\t\t\t\tasldPtrIB : jsc.createEl('div'), // slider pointer inner border\n\t\t\t\t\tasldPtrMB : jsc.createEl('div'), // slider pointer middle border\n\t\t\t\t\tasldPtrOB : jsc.createEl('div'), // slider pointer outer border\n\t\t\t\t\tpal : jsc.createEl('div'), // palette\n\t\t\t\t\tbtn : jsc.createEl('div'),\n\t\t\t\t\tbtnT : jsc.createEl('span'), // text\n\t\t\t\t};\n\n\t\t\t\tjsc.picker.pad.appendChild(jsc.picker.padCanvas.elm);\n\t\t\t\tjsc.picker.padB.appendChild(jsc.picker.pad);\n\t\t\t\tjsc.picker.cross.appendChild(jsc.picker.crossBY);\n\t\t\t\tjsc.picker.cross.appendChild(jsc.picker.crossBX);\n\t\t\t\tjsc.picker.cross.appendChild(jsc.picker.crossLY);\n\t\t\t\tjsc.picker.cross.appendChild(jsc.picker.crossLX);\n\t\t\t\tjsc.picker.padB.appendChild(jsc.picker.cross);\n\t\t\t\tjsc.picker.box.appendChild(jsc.picker.padB);\n\t\t\t\tjsc.picker.box.appendChild(jsc.picker.padM);\n\n\t\t\t\tjsc.picker.sld.appendChild(jsc.picker.sldGrad.elm);\n\t\t\t\tjsc.picker.sldB.appendChild(jsc.picker.sld);\n\t\t\t\tjsc.picker.sldB.appendChild(jsc.picker.sldPtrOB);\n\t\t\t\tjsc.picker.sldPtrOB.appendChild(jsc.picker.sldPtrMB);\n\t\t\t\tjsc.picker.sldPtrMB.appendChild(jsc.picker.sldPtrIB);\n\t\t\t\tjsc.picker.sldPtrIB.appendChild(jsc.picker.sldPtrS);\n\t\t\t\tjsc.picker.box.appendChild(jsc.picker.sldB);\n\t\t\t\tjsc.picker.box.appendChild(jsc.picker.sldM);\n\n\t\t\t\tjsc.picker.asld.appendChild(jsc.picker.asldGrad.elm);\n\t\t\t\tjsc.picker.asldB.appendChild(jsc.picker.asld);\n\t\t\t\tjsc.picker.asldB.appendChild(jsc.picker.asldPtrOB);\n\t\t\t\tjsc.picker.asldPtrOB.appendChild(jsc.picker.asldPtrMB);\n\t\t\t\tjsc.picker.asldPtrMB.appendChild(jsc.picker.asldPtrIB);\n\t\t\t\tjsc.picker.asldPtrIB.appendChild(jsc.picker.asldPtrS);\n\t\t\t\tjsc.picker.box.appendChild(jsc.picker.asldB);\n\t\t\t\tjsc.picker.box.appendChild(jsc.picker.asldM);\n\n\t\t\t\tjsc.picker.box.appendChild(jsc.picker.pal);\n\n\t\t\t\tjsc.picker.btn.appendChild(jsc.picker.btnT);\n\t\t\t\tjsc.picker.box.appendChild(jsc.picker.btn);\n\n\t\t\t\tjsc.picker.boxB.appendChild(jsc.picker.box);\n\t\t\t\tjsc.picker.wrap.appendChild(jsc.picker.boxS);\n\t\t\t\tjsc.picker.wrap.appendChild(jsc.picker.boxB);\n\n\t\t\t\tjsc.picker.wrap.addEventListener('touchstart', jsc.onPickerTouchStart,\n\t\t\t\t\tjsc.isPassiveEventSupported ? {passive: false} : false);\n\t\t\t}\n\n\t\t\tvar p = jsc.picker;\n\n\t\t\tvar displaySlider = !!jsc.getSliderChannel(THIS);\n\t\t\tvar displayAlphaSlider = THIS.hasAlphaChannel();\n\t\t\tvar pickerDims = jsc.getPickerDims(THIS);\n\t\t\tvar crossOuterSize = (2 * THIS.pointerBorderWidth + THIS.pointerThickness + 2 * THIS.crossSize);\n\t\t\tvar controlPadding = jsc.getControlPadding(THIS);\n\t\t\tvar borderRadius = Math.min(\n\t\t\t\tTHIS.borderRadius,\n\t\t\t\tMath.round(THIS.padding * Math.PI)); // px\n\t\t\tvar padCursor = 'crosshair';\n\n\t\t\t// wrap\n\t\t\tp.wrap.className = 'jscolor-picker-wrap';\n\t\t\tp.wrap.style.clear = 'both';\n\t\t\tp.wrap.style.width = pickerDims.borderW + 'px';\n\t\t\tp.wrap.style.height = pickerDims.borderH + 'px';\n\t\t\tp.wrap.style.zIndex = THIS.zIndex;\n\n\t\t\t// picker\n\t\t\tp.box.className = 'jscolor-picker';\n\t\t\tp.box.style.width = pickerDims.paddedW + 'px';\n\t\t\tp.box.style.height = pickerDims.paddedH + 'px';\n\t\t\tp.box.style.position = 'relative';\n\n\t\t\t// picker shadow\n\t\t\tp.boxS.className = 'jscolor-picker-shadow';\n\t\t\tp.boxS.style.position = 'absolute';\n\t\t\tp.boxS.style.left = '0';\n\t\t\tp.boxS.style.top = '0';\n\t\t\tp.boxS.style.width = '100%';\n\t\t\tp.boxS.style.height = '100%';\n\t\t\tjsc.setBorderRadius(p.boxS, borderRadius + 'px');\n\n\t\t\t// picker border\n\t\t\tp.boxB.className = 'jscolor-picker-border';\n\t\t\tp.boxB.style.position = 'relative';\n\t\t\tp.boxB.style.border = THIS.borderWidth + 'px solid';\n\t\t\tp.boxB.style.borderColor = THIS.borderColor;\n\t\t\tp.boxB.style.background = THIS.backgroundColor;\n\t\t\tjsc.setBorderRadius(p.boxB, borderRadius + 'px');\n\n\t\t\t// IE hack:\n\t\t\t// If the element is transparent, IE will trigger the event on the elements under it,\n\t\t\t// e.g. on Canvas or on elements with border\n\t\t\tp.padM.style.background = 'rgba(255,0,0,.2)';\n\t\t\tp.sldM.style.background = 'rgba(0,255,0,.2)';\n\t\t\tp.asldM.style.background = 'rgba(0,0,255,.2)';\n\n\t\t\tp.padM.style.opacity =\n\t\t\tp.sldM.style.opacity =\n\t\t\tp.asldM.style.opacity =\n\t\t\t\t'0';\n\n\t\t\t// pad\n\t\t\tp.pad.style.position = 'relative';\n\t\t\tp.pad.style.width = THIS.width + 'px';\n\t\t\tp.pad.style.height = THIS.height + 'px';\n\n\t\t\t// pad - color spectrum (HSV and HVS)\n\t\t\tp.padCanvas.draw(THIS.width, THIS.height, jsc.getPadYChannel(THIS));\n\n\t\t\t// pad border\n\t\t\tp.padB.style.position = 'absolute';\n\t\t\tp.padB.style.left = THIS.padding + 'px';\n\t\t\tp.padB.style.top = THIS.padding + 'px';\n\t\t\tp.padB.style.border = THIS.controlBorderWidth + 'px solid';\n\t\t\tp.padB.style.borderColor = THIS.controlBorderColor;\n\n\t\t\t// pad mouse area\n\t\t\tp.padM.style.position = 'absolute';\n\t\t\tp.padM.style.left = 0 + 'px';\n\t\t\tp.padM.style.top = 0 + 'px';\n\t\t\tp.padM.style.width = (THIS.padding + 2 * THIS.controlBorderWidth + THIS.width + controlPadding) + 'px';\n\t\t\tp.padM.style.height = (2 * THIS.controlBorderWidth + 2 * THIS.padding + THIS.height) + 'px';\n\t\t\tp.padM.style.cursor = padCursor;\n\t\t\tjsc.setData(p.padM, {\n\t\t\t\tinstance: THIS,\n\t\t\t\tcontrol: 'pad',\n\t\t\t})\n\n\t\t\t// pad cross\n\t\t\tp.cross.style.position = 'absolute';\n\t\t\tp.cross.style.left =\n\t\t\tp.cross.style.top =\n\t\t\t\t'0';\n\t\t\tp.cross.style.width =\n\t\t\tp.cross.style.height =\n\t\t\t\tcrossOuterSize + 'px';\n\n\t\t\t// pad cross border Y and X\n\t\t\tp.crossBY.style.position =\n\t\t\tp.crossBX.style.position =\n\t\t\t\t'absolute';\n\t\t\tp.crossBY.style.background =\n\t\t\tp.crossBX.style.background =\n\t\t\t\tTHIS.pointerBorderColor;\n\t\t\tp.crossBY.style.width =\n\t\t\tp.crossBX.style.height =\n\t\t\t\t(2 * THIS.pointerBorderWidth + THIS.pointerThickness) + 'px';\n\t\t\tp.crossBY.style.height =\n\t\t\tp.crossBX.style.width =\n\t\t\t\tcrossOuterSize + 'px';\n\t\t\tp.crossBY.style.left =\n\t\t\tp.crossBX.style.top =\n\t\t\t\t(Math.floor(crossOuterSize / 2) - Math.floor(THIS.pointerThickness / 2) - THIS.pointerBorderWidth) + 'px';\n\t\t\tp.crossBY.style.top =\n\t\t\tp.crossBX.style.left =\n\t\t\t\t'0';\n\n\t\t\t// pad cross line Y and X\n\t\t\tp.crossLY.style.position =\n\t\t\tp.crossLX.style.position =\n\t\t\t\t'absolute';\n\t\t\tp.crossLY.style.background =\n\t\t\tp.crossLX.style.background =\n\t\t\t\tTHIS.pointerColor;\n\t\t\tp.crossLY.style.height =\n\t\t\tp.crossLX.style.width =\n\t\t\t\t(crossOuterSize - 2 * THIS.pointerBorderWidth) + 'px';\n\t\t\tp.crossLY.style.width =\n\t\t\tp.crossLX.style.height =\n\t\t\t\tTHIS.pointerThickness + 'px';\n\t\t\tp.crossLY.style.left =\n\t\t\tp.crossLX.style.top =\n\t\t\t\t(Math.floor(crossOuterSize / 2) - Math.floor(THIS.pointerThickness / 2)) + 'px';\n\t\t\tp.crossLY.style.top =\n\t\t\tp.crossLX.style.left =\n\t\t\t\tTHIS.pointerBorderWidth + 'px';\n\n\n\t\t\t// slider\n\t\t\tp.sld.style.overflow = 'hidden';\n\t\t\tp.sld.style.width = THIS.sliderSize + 'px';\n\t\t\tp.sld.style.height = THIS.height + 'px';\n\n\t\t\t// slider gradient\n\t\t\tp.sldGrad.draw(THIS.sliderSize, THIS.height, '#000', '#000');\n\n\t\t\t// slider border\n\t\t\tp.sldB.style.display = displaySlider ? 'block' : 'none';\n\t\t\tp.sldB.style.position = 'absolute';\n\t\t\tp.sldB.style.left = (THIS.padding + THIS.width + 2 * THIS.controlBorderWidth + 2 * controlPadding) + 'px';\n\t\t\tp.sldB.style.top = THIS.padding + 'px';\n\t\t\tp.sldB.style.border = THIS.controlBorderWidth + 'px solid';\n\t\t\tp.sldB.style.borderColor = THIS.controlBorderColor;\n\n\t\t\t// slider mouse area\n\t\t\tp.sldM.style.display = displaySlider ? 'block' : 'none';\n\t\t\tp.sldM.style.position = 'absolute';\n\t\t\tp.sldM.style.left = (THIS.padding + THIS.width + 2 * THIS.controlBorderWidth + controlPadding) + 'px';\n\t\t\tp.sldM.style.top = 0 + 'px';\n\t\t\tp.sldM.style.width = (\n\t\t\t\t\t(THIS.sliderSize + 2 * controlPadding + 2 * THIS.controlBorderWidth) +\n\t\t\t\t\t(displayAlphaSlider ? 0 : Math.max(0, THIS.padding - controlPadding)) // remaining padding to the right edge\n\t\t\t\t) + 'px';\n\t\t\tp.sldM.style.height = (2 * THIS.controlBorderWidth + 2 * THIS.padding + THIS.height) + 'px';\n\t\t\tp.sldM.style.cursor = 'default';\n\t\t\tjsc.setData(p.sldM, {\n\t\t\t\tinstance: THIS,\n\t\t\t\tcontrol: 'sld',\n\t\t\t});\n\n\t\t\t// slider pointer inner and outer border\n\t\t\tp.sldPtrIB.style.border =\n\t\t\tp.sldPtrOB.style.border =\n\t\t\t\tTHIS.pointerBorderWidth + 'px solid ' + THIS.pointerBorderColor;\n\n\t\t\t// slider pointer outer border\n\t\t\tp.sldPtrOB.style.position = 'absolute';\n\t\t\tp.sldPtrOB.style.left = -(2 * THIS.pointerBorderWidth + THIS.pointerThickness) + 'px';\n\t\t\tp.sldPtrOB.style.top = '0';\n\n\t\t\t// slider pointer middle border\n\t\t\tp.sldPtrMB.style.border = THIS.pointerThickness + 'px solid ' + THIS.pointerColor;\n\n\t\t\t// slider pointer spacer\n\t\t\tp.sldPtrS.style.width = THIS.sliderSize + 'px';\n\t\t\tp.sldPtrS.style.height = jsc.pub.sliderInnerSpace + 'px';\n\n\n\t\t\t// alpha slider\n\t\t\tp.asld.style.overflow = 'hidden';\n\t\t\tp.asld.style.width = THIS.sliderSize + 'px';\n\t\t\tp.asld.style.height = THIS.height + 'px';\n\n\t\t\t// alpha slider gradient\n\t\t\tp.asldGrad.draw(THIS.sliderSize, THIS.height, '#000');\n\n\t\t\t// alpha slider border\n\t\t\tp.asldB.style.display = displayAlphaSlider ? 'block' : 'none';\n\t\t\tp.asldB.style.position = 'absolute';\n\t\t\tp.asldB.style.left = (\n\t\t\t\t\t(THIS.padding + THIS.width + 2 * THIS.controlBorderWidth + controlPadding) +\n\t\t\t\t\t(displaySlider ? (THIS.sliderSize + 3 * controlPadding + 2 * THIS.controlBorderWidth) : 0)\n\t\t\t\t) + 'px';\n\t\t\tp.asldB.style.top = THIS.padding + 'px';\n\t\t\tp.asldB.style.border = THIS.controlBorderWidth + 'px solid';\n\t\t\tp.asldB.style.borderColor = THIS.controlBorderColor;\n\n\t\t\t// alpha slider mouse area\n\t\t\tp.asldM.style.display = displayAlphaSlider ? 'block' : 'none';\n\t\t\tp.asldM.style.position = 'absolute';\n\t\t\tp.asldM.style.left = (\n\t\t\t\t\t(THIS.padding + THIS.width + 2 * THIS.controlBorderWidth + controlPadding) +\n\t\t\t\t\t(displaySlider ? (THIS.sliderSize + 2 * controlPadding + 2 * THIS.controlBorderWidth) : 0)\n\t\t\t\t) + 'px';\n\t\t\tp.asldM.style.top = 0 + 'px';\n\t\t\tp.asldM.style.width = (\n\t\t\t\t\t(THIS.sliderSize + 2 * controlPadding + 2 * THIS.controlBorderWidth) +\n\t\t\t\t\tMath.max(0, THIS.padding - controlPadding) // remaining padding to the right edge\n\t\t\t\t) + 'px';\n\t\t\tp.asldM.style.height = (2 * THIS.controlBorderWidth + 2 * THIS.padding + THIS.height) + 'px';\n\t\t\tp.asldM.style.cursor = 'default';\n\t\t\tjsc.setData(p.asldM, {\n\t\t\t\tinstance: THIS,\n\t\t\t\tcontrol: 'asld',\n\t\t\t})\n\n\t\t\t// alpha slider pointer inner and outer border\n\t\t\tp.asldPtrIB.style.border =\n\t\t\tp.asldPtrOB.style.border =\n\t\t\t\tTHIS.pointerBorderWidth + 'px solid ' + THIS.pointerBorderColor;\n\n\t\t\t// alpha slider pointer outer border\n\t\t\tp.asldPtrOB.style.position = 'absolute';\n\t\t\tp.asldPtrOB.style.left = -(2 * THIS.pointerBorderWidth + THIS.pointerThickness) + 'px';\n\t\t\tp.asldPtrOB.style.top = '0';\n\n\t\t\t// alpha slider pointer middle border\n\t\t\tp.asldPtrMB.style.border = THIS.pointerThickness + 'px solid ' + THIS.pointerColor;\n\n\t\t\t// alpha slider pointer spacer\n\t\t\tp.asldPtrS.style.width = THIS.sliderSize + 'px';\n\t\t\tp.asldPtrS.style.height = jsc.pub.sliderInnerSpace + 'px';\n\n\n\t\t\t// palette\n\t\t\tp.pal.className = 'jscolor-palette';\n\t\t\tp.pal.style.display = pickerDims.palette.rows ? 'block' : 'none';\n\t\t\tp.pal.style.position = 'absolute';\n\t\t\tp.pal.style.left = THIS.padding + 'px';\n\t\t\tp.pal.style.top = (2 * THIS.controlBorderWidth + 2 * THIS.padding + THIS.height) + 'px';\n\n\t\t\t// palette's color samples\n\n\t\t\tp.pal.innerHTML = '';\n\n\t\t\tvar chessboard = jsc.genColorPreviewCanvas('rgba(0,0,0,0)');\n\n\t\t\tvar si = 0; // color sample's index\n\t\t\tfor (var r = 0; r < pickerDims.palette.rows; r++) {\n\t\t\t\tfor (var c = 0; c < pickerDims.palette.cols && si < THIS._palette.length; c++, si++) {\n\t\t\t\t\tvar sampleColor = THIS._palette[si];\n\t\t\t\t\tvar sampleCssColor = jsc.rgbaColor.apply(null, sampleColor.rgba);\n\n\t\t\t\t\tvar sc = jsc.createEl('div'); // color sample's color\n\t\t\t\t\tsc.style.width = (pickerDims.palette.cellW - 2 * THIS.controlBorderWidth) + 'px';\n\t\t\t\t\tsc.style.height = (pickerDims.palette.cellH - 2 * THIS.controlBorderWidth) + 'px';\n\t\t\t\t\tsc.style.backgroundColor = sampleCssColor;\n\n\t\t\t\t\tvar sw = jsc.createEl('div'); // color sample's wrap\n\t\t\t\t\tsw.className = 'jscolor-palette-sample';\n\t\t\t\t\tsw.style.display = 'block';\n\t\t\t\t\tsw.style.position = 'absolute';\n\t\t\t\t\tsw.style.left = (\n\t\t\t\t\t\t\tpickerDims.palette.cols <= 1 ? 0 :\n\t\t\t\t\t\t\tMath.round(10 * (c * ((pickerDims.contentW - pickerDims.palette.cellW) / (pickerDims.palette.cols - 1)))) / 10\n\t\t\t\t\t\t) + 'px';\n\t\t\t\t\tsw.style.top = (r * (pickerDims.palette.cellH + THIS.paletteSpacing)) + 'px';\n\t\t\t\t\tsw.style.border = THIS.controlBorderWidth + 'px solid';\n\t\t\t\t\tsw.style.borderColor = THIS.controlBorderColor;\n\t\t\t\t\tsw.style.cursor = 'pointer';\n\t\t\t\t\tif (sampleColor.rgba[3] !== null && sampleColor.rgba[3] < 1.0) { // only create chessboard background if the sample has transparency\n\t\t\t\t\t\tsw.style.backgroundImage = 'url(\\'' + chessboard.canvas.toDataURL() + '\\')';\n\t\t\t\t\t\tsw.style.backgroundRepeat = 'repeat';\n\t\t\t\t\t\tsw.style.backgroundPosition = 'center center';\n\t\t\t\t\t}\n\t\t\t\t\tjsc.setData(sw, {\n\t\t\t\t\t\tinstance: THIS,\n\t\t\t\t\t\tcontrol: 'palette-sample',\n\t\t\t\t\t\tcolor: sampleColor,\n\t\t\t\t\t})\n\t\t\t\t\tsw.addEventListener('click', jsc.onPaletteSampleClick, false);\n\t\t\t\t\tsw.appendChild(sc);\n\t\t\t\t\tp.pal.appendChild(sw);\n\t\t\t\t}\n\t\t\t}\n\n\n\t\t\t// the Close button\n\t\t\tfunction setBtnBorder () {\n\t\t\t\tvar insetColors = THIS.controlBorderColor.split(/\\s+/);\n\t\t\t\tvar outsetColor = insetColors.length < 2 ? insetColors[0] : insetColors[1] + ' ' + insetColors[0] + ' ' + insetColors[0] + ' ' + insetColors[1];\n\t\t\t\tp.btn.style.borderColor = outsetColor;\n\t\t\t}\n\t\t\tvar btnPadding = 15; // px\n\t\t\tp.btn.className = 'jscolor-btn-close';\n\t\t\tp.btn.style.display = THIS.closeButton ? 'block' : 'none';\n\t\t\tp.btn.style.position = 'absolute';\n\t\t\tp.btn.style.left = THIS.padding + 'px';\n\t\t\tp.btn.style.bottom = THIS.padding + 'px';\n\t\t\tp.btn.style.padding = '0 ' + btnPadding + 'px';\n\t\t\tp.btn.style.maxWidth = (pickerDims.contentW - 2 * THIS.controlBorderWidth - 2 * btnPadding) + 'px';\n\t\t\tp.btn.style.overflow = 'hidden';\n\t\t\tp.btn.style.height = THIS.buttonHeight + 'px';\n\t\t\tp.btn.style.whiteSpace = 'nowrap';\n\t\t\tp.btn.style.border = THIS.controlBorderWidth + 'px solid';\n\t\t\tsetBtnBorder();\n\t\t\tp.btn.style.color = THIS.buttonColor;\n\t\t\tp.btn.style.font = '12px sans-serif';\n\t\t\tp.btn.style.textAlign = 'center';\n\t\t\tp.btn.style.cursor = 'pointer';\n\t\t\tp.btn.onmousedown = function () {\n\t\t\t\tTHIS.hide();\n\t\t\t};\n\t\t\tp.btnT.style.lineHeight = THIS.buttonHeight + 'px';\n\t\t\tp.btnT.innerHTML = '';\n\t\t\tp.btnT.appendChild(window.document.createTextNode(THIS.closeText));\n\n\t\t\t// reposition the pointers\n\t\t\tredrawPad();\n\t\t\tredrawSld();\n\t\t\tredrawASld();\n\n\t\t\t// If we are changing the owner without first closing the picker,\n\t\t\t// make sure to first deal with the old owner\n\t\t\tif (jsc.picker.owner && jsc.picker.owner !== THIS) {\n\t\t\t\tjsc.removeClass(jsc.picker.owner.targetElement, jsc.pub.activeClassName);\n\t\t\t}\n\n\t\t\t// Set a new picker owner\n\t\t\tjsc.picker.owner = THIS;\n\n\t\t\t// The redrawPosition() method needs picker.owner to be set, that's why we call it here,\n\t\t\t// after setting the owner\n\t\t\tif (THIS.container === window.document.body) {\n\t\t\t\tjsc.redrawPosition();\n\t\t\t} else {\n\t\t\t\tjsc._drawPosition(THIS, 0, 0, 'relative', false);\n\t\t\t}\n\n\t\t\tif (p.wrap.parentNode !== THIS.container) {\n\t\t\t\tTHIS.container.appendChild(p.wrap);\n\t\t\t}\n\n\t\t\tjsc.addClass(THIS.targetElement, jsc.pub.activeClassName);\n\t\t}\n\n\n\t\tfunction redrawPad () {\n\t\t\t// redraw the pad pointer\n\t\t\tvar yChannel = jsc.getPadYChannel(THIS);\n\t\t\tvar x = Math.round((THIS.channels.h / 360) * (THIS.width - 1));\n\t\t\tvar y = Math.round((1 - THIS.channels[yChannel] / 100) * (THIS.height - 1));\n\t\t\tvar crossOuterSize = (2 * THIS.pointerBorderWidth + THIS.pointerThickness + 2 * THIS.crossSize);\n\t\t\tvar ofs = -Math.floor(crossOuterSize / 2);\n\t\t\tjsc.picker.cross.style.left = (x + ofs) + 'px';\n\t\t\tjsc.picker.cross.style.top = (y + ofs) + 'px';\n\n\t\t\t// redraw the slider\n\t\t\tswitch (jsc.getSliderChannel(THIS)) {\n\t\t\tcase 's':\n\t\t\t\tvar rgb1 = jsc.HSV_RGB(THIS.channels.h, 100, THIS.channels.v);\n\t\t\t\tvar rgb2 = jsc.HSV_RGB(THIS.channels.h, 0, THIS.channels.v);\n\t\t\t\tvar color1 = 'rgb(' +\n\t\t\t\t\tMath.round(rgb1[0]) + ',' +\n\t\t\t\t\tMath.round(rgb1[1]) + ',' +\n\t\t\t\t\tMath.round(rgb1[2]) + ')';\n\t\t\t\tvar color2 = 'rgb(' +\n\t\t\t\t\tMath.round(rgb2[0]) + ',' +\n\t\t\t\t\tMath.round(rgb2[1]) + ',' +\n\t\t\t\t\tMath.round(rgb2[2]) + ')';\n\t\t\t\tjsc.picker.sldGrad.draw(THIS.sliderSize, THIS.height, color1, color2);\n\t\t\t\tbreak;\n\t\t\tcase 'v':\n\t\t\t\tvar rgb = jsc.HSV_RGB(THIS.channels.h, THIS.channels.s, 100);\n\t\t\t\tvar color1 = 'rgb(' +\n\t\t\t\t\tMath.round(rgb[0]) + ',' +\n\t\t\t\t\tMath.round(rgb[1]) + ',' +\n\t\t\t\t\tMath.round(rgb[2]) + ')';\n\t\t\t\tvar color2 = '#000';\n\t\t\t\tjsc.picker.sldGrad.draw(THIS.sliderSize, THIS.height, color1, color2);\n\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\t// redraw the alpha slider\n\t\t\tjsc.picker.asldGrad.draw(THIS.sliderSize, THIS.height, THIS.toHEXString());\n\t\t}\n\n\n\t\tfunction redrawSld () {\n\t\t\tvar sldChannel = jsc.getSliderChannel(THIS);\n\t\t\tif (sldChannel) {\n\t\t\t\t// redraw the slider pointer\n\t\t\t\tvar y = Math.round((1 - THIS.channels[sldChannel] / 100) * (THIS.height - 1));\n\t\t\t\tjsc.picker.sldPtrOB.style.top = (y - (2 * THIS.pointerBorderWidth + THIS.pointerThickness) - Math.floor(jsc.pub.sliderInnerSpace / 2)) + 'px';\n\t\t\t}\n\n\t\t\t// redraw the alpha slider\n\t\t\tjsc.picker.asldGrad.draw(THIS.sliderSize, THIS.height, THIS.toHEXString());\n\t\t}\n\n\n\t\tfunction redrawASld () {\n\t\t\tvar y = Math.round((1 - THIS.channels.a) * (THIS.height - 1));\n\t\t\tjsc.picker.asldPtrOB.style.top = (y - (2 * THIS.pointerBorderWidth + THIS.pointerThickness) - Math.floor(jsc.pub.sliderInnerSpace / 2)) + 'px';\n\t\t}\n\n\n\t\tfunction isPickerOwner () {\n\t\t\treturn jsc.picker && jsc.picker.owner === THIS;\n\t\t}\n\n\n\t\tfunction onValueKeyDown (ev) {\n\t\t\tif (jsc.eventKey(ev) === 'Enter') {\n\t\t\t\tif (THIS.valueElement) {\n\t\t\t\t\tTHIS.processValueInput(THIS.valueElement.value);\n\t\t\t\t}\n\t\t\t\tTHIS.tryHide();\n\t\t\t}\n\t\t}\n\n\n\t\tfunction onAlphaKeyDown (ev) {\n\t\t\tif (jsc.eventKey(ev) === 'Enter') {\n\t\t\t\tif (THIS.alphaElement) {\n\t\t\t\t\tTHIS.processAlphaInput(THIS.alphaElement.value);\n\t\t\t\t}\n\t\t\t\tTHIS.tryHide();\n\t\t\t}\n\t\t}\n\n\n\t\tfunction onValueChange (ev) {\n\t\t\tif (jsc.getData(ev, 'internal')) {\n\t\t\t\treturn; // skip if the event was internally triggered by jscolor\n\t\t\t}\n\n\t\t\tvar oldVal = THIS.valueElement.value;\n\n\t\t\tTHIS.processValueInput(THIS.valueElement.value); // this might change the value\n\n\t\t\tjsc.triggerCallback(THIS, 'onChange');\n\n\t\t\tif (THIS.valueElement.value !== oldVal) {\n\t\t\t\t// value was additionally changed -> let's trigger the change event again, even though it was natively dispatched\n\t\t\t\tjsc.triggerInputEvent(THIS.valueElement, 'change', true, true);\n\t\t\t}\n\t\t}\n\n\n\t\tfunction onAlphaChange (ev) {\n\t\t\tif (jsc.getData(ev, 'internal')) {\n\t\t\t\treturn; // skip if the event was internally triggered by jscolor\n\t\t\t}\n\n\t\t\tvar oldVal = THIS.alphaElement.value;\n\n\t\t\tTHIS.processAlphaInput(THIS.alphaElement.value); // this might change the value\n\n\t\t\tjsc.triggerCallback(THIS, 'onChange');\n\n\t\t\t// triggering valueElement's onChange (because changing alpha changes the entire color, e.g. with rgba format)\n\t\t\tjsc.triggerInputEvent(THIS.valueElement, 'change', true, true);\n\n\t\t\tif (THIS.alphaElement.value !== oldVal) {\n\t\t\t\t// value was additionally changed -> let's trigger the change event again, even though it was natively dispatched\n\t\t\t\tjsc.triggerInputEvent(THIS.alphaElement, 'change', true, true);\n\t\t\t}\n\t\t}\n\n\n\t\tfunction onValueInput (ev) {\n\t\t\tif (jsc.getData(ev, 'internal')) {\n\t\t\t\treturn; // skip if the event was internally triggered by jscolor\n\t\t\t}\n\n\t\t\tif (THIS.valueElement) {\n\t\t\t\tTHIS.fromString(THIS.valueElement.value, jsc.flags.leaveValue);\n\t\t\t}\n\n\t\t\tjsc.triggerCallback(THIS, 'onInput');\n\n\t\t\t// triggering valueElement's onInput\n\t\t\t// (not needed, it was dispatched normally by the browser)\n\t\t}\n\n\n\t\tfunction onAlphaInput (ev) {\n\t\t\tif (jsc.getData(ev, 'internal')) {\n\t\t\t\treturn; // skip if the event was internally triggered by jscolor\n\t\t\t}\n\n\t\t\tif (THIS.alphaElement) {\n\t\t\t\tTHIS.fromHSVA(null, null, null, parseFloat(THIS.alphaElement.value), jsc.flags.leaveAlpha);\n\t\t\t}\n\n\t\t\tjsc.triggerCallback(THIS, 'onInput');\n\n\t\t\t// triggering valueElement's onInput (because changing alpha changes the entire color, e.g. with rgba format)\n\t\t\tjsc.triggerInputEvent(THIS.valueElement, 'input', true, true);\n\t\t}\n\n\n\t\t// let's process the DEPRECATED 'options' property (this will be later removed)\n\t\tif (jsc.pub.options) {\n\t\t\t// let's set custom default options, if specified\n\t\t\tfor (var opt in jsc.pub.options) {\n\t\t\t\tif (jsc.pub.options.hasOwnProperty(opt)) {\n\t\t\t\t\ttry {\n\t\t\t\t\t\tsetOption(opt, jsc.pub.options[opt]);\n\t\t\t\t\t} catch (e) {\n\t\t\t\t\t\tconsole.warn(e);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\n\t\t// let's apply configuration presets\n\t\t//\n\t\tvar presetsArr = [];\n\n\t\tif (opts.preset) {\n\t\t\tif (typeof opts.preset === 'string') {\n\t\t\t\tpresetsArr = opts.preset.split(/\\s+/);\n\t\t\t} else if (Array.isArray(opts.preset)) {\n\t\t\t\tpresetsArr = opts.preset.slice(); // slice() to clone\n\t\t\t} else {\n\t\t\t\tconsole.warn('Unrecognized preset value');\n\t\t\t}\n\t\t}\n\n\t\t// always use the 'default' preset. If it's not listed, append it to the end.\n\t\tif (presetsArr.indexOf('default') === -1) {\n\t\t\tpresetsArr.push('default');\n\t\t}\n\n\t\t// let's apply the presets in reverse order, so that should there be any overlapping options,\n\t\t// the formerly listed preset will override the latter\n\t\tfor (var i = presetsArr.length - 1; i >= 0; i -= 1) {\n\t\t\tvar pres = presetsArr[i];\n\t\t\tif (!pres) {\n\t\t\t\tcontinue; // preset is empty string\n\t\t\t}\n\t\t\tif (!jsc.pub.presets.hasOwnProperty(pres)) {\n\t\t\t\tconsole.warn('Unknown preset: %s', pres);\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tfor (var opt in jsc.pub.presets[pres]) {\n\t\t\t\tif (jsc.pub.presets[pres].hasOwnProperty(opt)) {\n\t\t\t\t\ttry {\n\t\t\t\t\t\tsetOption(opt, jsc.pub.presets[pres][opt]);\n\t\t\t\t\t} catch (e) {\n\t\t\t\t\t\tconsole.warn(e);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\n\t\t// let's set specific options for this color picker\n\t\tvar nonProperties = [\n\t\t\t// these options won't be set as instance properties\n\t\t\t'preset',\n\t\t];\n\t\tfor (var opt in opts) {\n\t\t\tif (opts.hasOwnProperty(opt)) {\n\t\t\t\tif (nonProperties.indexOf(opt) === -1) {\n\t\t\t\t\ttry {\n\t\t\t\t\t\tsetOption(opt, opts[opt]);\n\t\t\t\t\t} catch (e) {\n\t\t\t\t\t\tconsole.warn(e);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\n\t\t//\n\t\t// Install the color picker on chosen element(s)\n\t\t//\n\n\n\t\t// Determine picker's container element\n\t\tif (this.container === undefined) {\n\t\t\tthis.container = window.document.body; // default container is BODY element\n\n\t\t} else { // explicitly set to custom element\n\t\t\tthis.container = jsc.node(this.container);\n\t\t}\n\n\t\tif (!this.container) {\n\t\t\tthrow new Error('Cannot instantiate color picker without a container element');\n\t\t}\n\n\n\t\t// Fetch the target element\n\t\tthis.targetElement = jsc.node(targetElement);\n\n\t\tif (!this.targetElement) {\n\t\t\t// temporarily customized error message to help with migrating from versions prior to 2.2\n\t\t\tif (typeof targetElement === 'string' && /^[a-zA-Z][\\w:.-]*$/.test(targetElement)) {\n\t\t\t\t// targetElement looks like valid ID\n\t\t\t\tvar possiblyId = targetElement;\n\t\t\t\tthrow new Error('If \\'' + possiblyId + '\\' is supposed to be an ID, please use \\'#' + possiblyId + '\\' or any valid CSS selector.');\n\t\t\t}\n\n\t\t\tthrow new Error('Cannot instantiate color picker without a target element');\n\t\t}\n\n\t\tif (this.targetElement.jscolor && this.targetElement.jscolor instanceof jsc.pub) {\n\t\t\tthrow new Error('Color picker already installed on this element');\n\t\t}\n\n\n\t\t// link this instance with the target element\n\t\tthis.targetElement.jscolor = this;\n\t\tjsc.addClass(this.targetElement, jsc.pub.className);\n\n\t\t// register this instance\n\t\tjsc.instances.push(this);\n\n\n\t\t// if target is BUTTON\n\t\tif (jsc.isButton(this.targetElement)) {\n\n\t\t\tif (this.targetElement.type.toLowerCase() !== 'button') {\n\t\t\t\t// on buttons, always force type to be 'button', e.g. in situations the target <button> has no type\n\t\t\t\t// and thus defaults to 'submit' and would submit the form when clicked\n\t\t\t\tthis.targetElement.type = 'button';\n\t\t\t}\n\n\t\t\tif (jsc.isButtonEmpty(this.targetElement)) { // empty button\n\t\t\t\t// it is important to clear element's contents first.\n\t\t\t\t// if we're re-instantiating color pickers on DOM that has been modified by changing page's innerHTML,\n\t\t\t\t// we would keep adding more non-breaking spaces to element's content (because element's contents survive\n\t\t\t\t// innerHTML changes, but picker instances don't)\n\t\t\t\tjsc.removeChildren(this.targetElement);\n\n\t\t\t\t// let's insert a non-breaking space\n\t\t\t\tthis.targetElement.appendChild(window.document.createTextNode('\\xa0'));\n\n\t\t\t\t// set min-width = previewSize, if not already greater\n\t\t\t\tvar compStyle = jsc.getCompStyle(this.targetElement);\n\t\t\t\tvar currMinWidth = parseFloat(compStyle['min-width']) || 0;\n\t\t\t\tif (currMinWidth < this.previewSize) {\n\t\t\t\t\tjsc.setStyle(this.targetElement, {\n\t\t\t\t\t\t'min-width': this.previewSize + 'px',\n\t\t\t\t\t}, this.forceStyle);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Determine the value element\n\t\tif (this.valueElement === undefined) {\n\t\t\tif (jsc.isTextInput(this.targetElement)) {\n\t\t\t\t// for text inputs, default valueElement is targetElement\n\t\t\t\tthis.valueElement = this.targetElement;\n\t\t\t} else {\n\t\t\t\t// leave it undefined\n\t\t\t}\n\n\t\t} else if (this.valueElement === null) { // explicitly set to null\n\t\t\t// leave it null\n\n\t\t} else { // explicitly set to custom element\n\t\t\tthis.valueElement = jsc.node(this.valueElement);\n\t\t}\n\n\t\t// Determine the alpha element\n\t\tif (this.alphaElement) {\n\t\t\tthis.alphaElement = jsc.node(this.alphaElement);\n\t\t}\n\n\t\t// Determine the preview element\n\t\tif (this.previewElement === undefined) {\n\t\t\tthis.previewElement = this.targetElement; // default previewElement is targetElement\n\n\t\t} else if (this.previewElement === null) { // explicitly set to null\n\t\t\t// leave it null\n\n\t\t} else { // explicitly set to custom element\n\t\t\tthis.previewElement = jsc.node(this.previewElement);\n\t\t}\n\n\t\t// valueElement\n\t\tif (this.valueElement && jsc.isTextInput(this.valueElement)) {\n\n\t\t\t// If the value element has onInput event already set, we need to detach it and attach AFTER our listener.\n\t\t\t// otherwise the picker instance would still contain the old color when accessed from the onInput handler.\n\t\t\tvar valueElementOrigEvents = {\n\t\t\t\tonInput: this.valueElement.oninput\n\t\t\t};\n\t\t\tthis.valueElement.oninput = null;\n\n\t\t\tthis.valueElement.addEventListener('keydown', onValueKeyDown, false);\n\t\t\tthis.valueElement.addEventListener('change', onValueChange, false);\n\t\t\tthis.valueElement.addEventListener('input', onValueInput, false);\n\t\t\t// the original event listener must be attached AFTER our handler (to let it first set picker's color)\n\t\t\tif (valueElementOrigEvents.onInput) {\n\t\t\t\tthis.valueElement.addEventListener('input', valueElementOrigEvents.onInput, false);\n\t\t\t}\n\n\t\t\tthis.valueElement.setAttribute('autocomplete', 'off');\n\t\t\tthis.valueElement.setAttribute('autocorrect', 'off');\n\t\t\tthis.valueElement.setAttribute('autocapitalize', 'off');\n\t\t\tthis.valueElement.setAttribute('spellcheck', false);\n\t\t}\n\n\t\t// alphaElement\n\t\tif (this.alphaElement && jsc.isTextInput(this.alphaElement)) {\n\t\t\tthis.alphaElement.addEventListener('keydown', onAlphaKeyDown, false);\n\t\t\tthis.alphaElement.addEventListener('change', onAlphaChange, false);\n\t\t\tthis.alphaElement.addEventListener('input', onAlphaInput, false);\n\n\t\t\tthis.alphaElement.setAttribute('autocomplete', 'off');\n\t\t\tthis.alphaElement.setAttribute('autocorrect', 'off');\n\t\t\tthis.alphaElement.setAttribute('autocapitalize', 'off');\n\t\t\tthis.alphaElement.setAttribute('spellcheck', false);\n\t\t}\n\n\t\t// determine initial color value\n\t\t//\n\t\tvar initValue = 'FFFFFF';\n\n\t\tif (this.value !== undefined) {\n\t\t\tinitValue = this.value; // get initial color from the 'value' property\n\t\t} else if (this.valueElement && this.valueElement.value !== undefined) {\n\t\t\tinitValue = this.valueElement.value; // get initial color from valueElement's value\n\t\t}\n\n\t\t// determine initial alpha value\n\t\t//\n\t\tvar initAlpha = undefined;\n\n\t\tif (this.alpha !== undefined) {\n\t\t\tinitAlpha = (''+this.alpha); // get initial alpha value from the 'alpha' property\n\t\t} else if (this.alphaElement && this.alphaElement.value !== undefined) {\n\t\t\tinitAlpha = this.alphaElement.value; // get initial color from alphaElement's value\n\t\t}\n\n\t\t// determine current format based on the initial color value\n\t\t//\n\t\tthis._currentFormat = null;\n\n\t\tif (['auto', 'any'].indexOf(this.format.toLowerCase()) > -1) {\n\t\t\t// format is 'auto' or 'any' -> let's auto-detect current format\n\t\t\tvar color = jsc.parseColorString(initValue);\n\t\t\tthis._currentFormat = color ? color.format : 'hex';\n\t\t} else {\n\t\t\t// format is specified\n\t\t\tthis._currentFormat = this.format.toLowerCase();\n\t\t}\n\n\n\t\t// let's parse the initial color value and expose color's preview\n\t\tthis.processValueInput(initValue);\n\n\t\t// let's also parse and expose the initial alpha value, if any\n\t\t//\n\t\t// Note: If the initial color value contains alpha value in it (e.g. in rgba format),\n\t\t// this will overwrite it. So we should only process alpha input if there was initial\n\t\t// alpha explicitly set, otherwise we could needlessly lose initial value's alpha\n\t\tif (initAlpha !== undefined) {\n\t\t\tthis.processAlphaInput(initAlpha);\n\t\t}\n\n\t\tif (this.random) {\n\t\t\t// randomize the initial color value\n\t\t\tthis.randomize.apply(this, Array.isArray(this.random) ? this.random : []);\n\t\t}\n\n\t}\n\n};\n\n\n//================================\n// Public properties and methods\n//================================\n\n//\n// These will be publicly available via jscolor.<name> and JSColor.<name>\n//\n\n\n// class that will be set to elements having jscolor installed on them\njsc.pub.className = 'jscolor';\n\n\n// class that will be set to elements having jscolor active on them\njsc.pub.activeClassName = 'jscolor-active';\n\n\n// whether to try to parse the options string by evaluating it using 'new Function()'\n// in case it could not be parsed with JSON.parse()\njsc.pub.looseJSON = true;\n\n\n// presets\njsc.pub.presets = {};\n\n// built-in presets\njsc.pub.presets['default'] = {}; // baseline for customization\n\njsc.pub.presets['light'] = { // default color scheme\n\tbackgroundColor: 'rgba(255,255,255,1)',\n\tcontrolBorderColor: 'rgba(187,187,187,1)',\n\tbuttonColor: 'rgba(0,0,0,1)',\n};\njsc.pub.presets['dark'] = {\n\tbackgroundColor: 'rgba(51,51,51,1)',\n\tcontrolBorderColor: 'rgba(153,153,153,1)',\n\tbuttonColor: 'rgba(240,240,240,1)',\n};\n\njsc.pub.presets['small'] = { width:101, height:101, padding:10, sliderSize:14, paletteCols:8 };\njsc.pub.presets['medium'] = { width:181, height:101, padding:12, sliderSize:16, paletteCols:10 }; // default size\njsc.pub.presets['large'] = { width:271, height:151, padding:12, sliderSize:24, paletteCols:15 };\n\njsc.pub.presets['thin'] = { borderWidth:1, controlBorderWidth:1, pointerBorderWidth:1 }; // default thickness\njsc.pub.presets['thick'] = { borderWidth:2, controlBorderWidth:2, pointerBorderWidth:2 };\n\n\n// size of space in the sliders\njsc.pub.sliderInnerSpace = 3; // px\n\n// transparency chessboard\njsc.pub.chessboardSize = 8; // px\njsc.pub.chessboardColor1 = '#666666';\njsc.pub.chessboardColor2 = '#999999';\n\n// preview separator\njsc.pub.previewSeparator = ['rgba(255,255,255,.65)', 'rgba(128,128,128,.65)'];\n\n\n// Initializes jscolor\njsc.pub.init = function () {\n\tif (jsc.initialized) {\n\t\treturn;\n\t}\n\n\t// attach some necessary handlers\n\twindow.document.addEventListener('mousedown', jsc.onDocumentMouseDown, false);\n\twindow.document.addEventListener('keyup', jsc.onDocumentKeyUp, false);\n\twindow.addEventListener('resize', jsc.onWindowResize, false);\n\twindow.addEventListener('scroll', jsc.onWindowScroll, false);\n\n\t// install jscolor on current DOM\n\tjsc.pub.install();\n\n\tjsc.initialized = true;\n\n\t// call functions waiting in the queue\n\twhile (jsc.readyQueue.length) {\n\t\tvar func = jsc.readyQueue.shift();\n\t\tfunc();\n\t}\n};\n\n\n// Installs jscolor on current DOM tree\njsc.pub.install = function (rootNode) {\n\tvar success = true;\n\n\ttry {\n\t\tjsc.installBySelector('[data-jscolor]', rootNode);\n\t} catch (e) {\n\t\tsuccess = false;\n\t\tconsole.warn(e);\n\t}\n\n\t// for backward compatibility with DEPRECATED installation using class name\n\tif (jsc.pub.lookupClass) {\n\t\ttry {\n\t\t\tjsc.installBySelector(\n\t\t\t\t(\n\t\t\t\t\t'input.' + jsc.pub.lookupClass + ', ' +\n\t\t\t\t\t'button.' + jsc.pub.lookupClass\n\t\t\t\t),\n\t\t\t\trootNode\n\t\t\t);\n\t\t} catch (e) {}\n\t}\n\n\treturn success;\n};\n\n\n// Registers function to be called as soon as jscolor is initialized (or immediately, if it already is).\n//\njsc.pub.ready = function (func) {\n\tif (typeof func !== 'function') {\n\t\tconsole.warn('Passed value is not a function');\n\t\treturn false;\n\t}\n\n\tif (jsc.initialized) {\n\t\tfunc();\n\t} else {\n\t\tjsc.readyQueue.push(func);\n\t}\n\treturn true;\n};\n\n\n// Triggers given input event(s) (e.g. 'input' or 'change') on all color pickers.\n//\n// It is possible to specify multiple events separated with a space.\n// If called before jscolor is initialized, then the events will be triggered after initialization.\n//\njsc.pub.trigger = function (eventNames) {\n\tvar triggerNow = function () {\n\t\tjsc.triggerGlobal(eventNames);\n\t};\n\n\tif (jsc.initialized) {\n\t\ttriggerNow();\n\t} else {\n\t\tjsc.pub.ready(triggerNow);\n\t}\n};\n\n\n// Hides current color picker box\njsc.pub.hide = function () {\n\tif (jsc.picker && jsc.picker.owner) {\n\t\tjsc.picker.owner.hide();\n\t}\n};\n\n\n// Returns a data URL of a gray chessboard image that indicates transparency\njsc.pub.chessboard = function (color) {\n\tif (!color) {\n\t\tcolor = 'rgba(0,0,0,0)';\n\t}\n\tvar preview = jsc.genColorPreviewCanvas(color);\n\treturn preview.canvas.toDataURL();\n};\n\n\n// Returns a data URL of a gray chessboard image that indicates transparency\njsc.pub.background = function (color) {\n\tvar backgrounds = [];\n\n\t// CSS gradient for background color preview\n\tbackgrounds.push(jsc.genColorPreviewGradient(color));\n\n\t// data URL of generated PNG image with a gray transparency chessboard\n\tvar preview = jsc.genColorPreviewCanvas();\n\tbackgrounds.push([\n\t\t'url(\\'' + preview.canvas.toDataURL() + '\\')',\n\t\t'left top',\n\t\t'repeat',\n\t].join(' '));\n\n\treturn backgrounds.join(', ');\n};\n\n\n//\n// DEPRECATED properties and methods\n//\n\n\n// DEPRECATED. Use jscolor.presets.default instead.\n//\n// Custom default options for all color pickers, e.g. { hash: true, width: 300 }\njsc.pub.options = {};\n\n\n// DEPRECATED. Use data-jscolor attribute instead, which installs jscolor on given element.\n//\n// By default, we'll search for all elements with class=\"jscolor\" and install a color picker on them.\n//\n// You can change what class name will be looked for by setting the property jscolor.lookupClass\n// anywhere in your HTML document. To completely disable the automatic lookup, set it to null.\n//\njsc.pub.lookupClass = 'jscolor';\n\n\n// DEPRECATED. Use data-jscolor attribute instead, which installs jscolor on given element.\n//\n// Install jscolor on all elements that have the specified class name\njsc.pub.installByClassName = function () {\n\tconsole.error('jscolor.installByClassName() is DEPRECATED. Use data-jscolor=\"\" attribute instead of a class name.' + jsc.docsRef);\n\treturn false;\n};\n\n\njsc.register();\n\n\nreturn jsc.pub;\n\n\n})(); // END jscolor\n\n\nif (typeof window.jscolor === 'undefined') {\n\twindow.jscolor = window.JSColor = jscolor;\n}\n\n\n// END jscolor code\n\nreturn jscolor;\n\n}); // END factory\n"
  },
  {
    "path": "demos/mario.js",
    "content": "W.add(\"mario\", {\n  vertices: 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 indices: 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    "path": "demos/mariotexture.js",
    "content": "document.write('<img 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\" id=mario hidden>');"
  },
  {
    "path": "demos/treetexture.js",
    "content": "document.write('<img 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  },
  {
    "path": "demos/yoshi.js",
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b3\u00148\u00143\u000b8\u00148\u000b3\u0014.\u0014.\u000b3\u0014.\u000b3\u000b.\u000b.\u00143\u0014.\u000b3\u00143\u000b8\u00143\u00143\u000b8\u00143\u000b8\u000b3\u000b3\u00148\u00143\u000b8\u00148\u000b3\u0014.\u0014.\u000b3\u0014.\u000b3\u000b.\u000b.\u00143\u0014.\u000b3\u00143\u000b8\u00143\u00143\u000b8\u00143\u000b8\u000b3\u000b3\u00148\u00143\u000b8\u00148\u000b3\u0014.\u0014.\u000b3\u0014.\u000b3\u000b3\u00143\u000b.\u000b3\u0014.\u000b.\u00148\u00143\u00143\u000b8\u00143\u000b8\u000b3\u000b3\u00148\u00143\u000b8\u00148\u000b3\u0014.\u0014.\u000b3\u0014.\u000b3\u000b.\u000b.\u00143\u0014.\u000b3\u00143\u000b8\u00143\u00143\u000b8\u00143\u000b8\u000b3\u000b3\u00148\u00143\u000b8\u00148\u000b3\u0014.\u0014.\u000b3\u0014.\u000b3\u000b.\u000b.\u00143\u0014.\u000b3\u00143\u000b8\u00143\u00143\u000b8\u00143\u000b8\u000b3\u000b3\u00148\u00143\u000b8\u00148\u000b3\u0014.\u0014.\u000b3\u0014.\u000b3\u000b3\u00143\u000b.\u000b3\u0014.\u000b.\u00148\u00143\u00143\u000b8\u00143\u000b8\u000b3\u000b3\u00148\u00143\u000b8\u00148\u000b3\u0014.\u0014.\u000b3\u0014.\u000b3\u000b.\u000b.\u00143\u0014.\u000b3\u00143\u000bo\u000ei\u000ei\bo\u000ei\bo\bo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bi\u000eo\u000ei\bo\u000eo\bo\u000ei\u000ei\bo\u000ei\bo\bi\bi\u000eo\u000ei\bo\u000eo\bo\u000ei\u000ei\bo\u000ei\bo\bi\bo\bo\u000ei\bo\u000ei\u000eo\u000eo\bi\bo\u000ei\bi\u000ei\bi\u000eo\u000ei\bo\u000eo\bo\u000ei\u000ei\bo\u000ei\bo\bi\bo\u000eo\bo\bo\u000ei\bi\bo\bo\u000eo\u000eo\bi\bG=J@O=FBHCJ@FBHCHCb>b>]=]=Z;c=O=N<U;Z;]5V6O=J@G=V6]5Z;U;N<O=c=Z;]=J@HCFB'\r\n  ].map(a=>(a.codePointAt())/127)\r\n};\r\nW.yoshi = settings => W.setState(settings, 'yoshi');"
  },
  {
    "path": "index.html",
    "content": "<!doctype html>\n<link rel=\"preconnect\" href=\"https://fonts.googleapis.com\">\n<link rel=\"preconnect\" href=\"https://fonts.gstatic.com\" crossorigin>\n<link href=\"https://fonts.googleapis.com/css2?family=Zen+Tokyo+Zoo&display=swap\" rel=\"stylesheet\">\n<style>#forkongithub a{background:#000;color:#fff;text-decoration:none;font-family:arial,sans-serif;text-align:center;font-weight:bold;padding:5px 40px;font-size:1rem;line-height:1.5rem;position:relative;transition:0.5s;}#forkongithub a:hover{background:#c11;color:#fff;}#forkongithub a::before,#forkongithub a::after{content:\"\";width:100%;display:block;position:absolute;top:1px;left:0;height:1px;background:#fff;}#forkongithub a::after{bottom:1px;top:auto;}@media screen and (min-width:800px){#forkongithub{position:absolute;display:block;top:0;right:0;width:200px;overflow:hidden;height:200px;z-index:9999;}#forkongithub a{width:170px;position:absolute;top:50px;right:0px;transform:rotate(45deg);-webkit-transform:rotate(45deg);-ms-transform:rotate(45deg);-moz-transform:rotate(45deg);-o-transform:rotate(45deg);box-shadow:4px 4px 10px rgba(0,0,0,0.8);}}</style><span id=\"forkongithub\"><a href=\"https://github.com/xem/W/\">Fork me on GitHub</a></span>\n<center>\n<h1>W</h1>\n<h2>A micro WebGL2 framework</h2>\n\n<h3>Features</h3>\n<br>\n\n<ul class=top>\n<li>Built-in 3D models \n<span title=\"plane, billboard, cube, pyramid, sphere\">\n  <svg width=100 height=20 xmlns='http://www.w3.org/2000/svg'>\n  <rect x=1 y=1 width=18 height=18 fill=\"#555\" stroke=\"#fff\"/>\n  <rect x=22 y=1 width=17 height=12 fill=\"#555\" stroke=\"#fff\"/>\n  <rect x=30 y=11 width=2 height=7 fill=\"#555\" stroke=\"#555\"/>\n  <path d=\"\" fill=\"#555\" stroke=\"#fff\"/>\n  <path d=\"M42 6L46 2L59 2L59 15L56 19L42 19Z\" fill=\"#555\" stroke=\"#fff\"/>\n  <path d=\"M62 15L70 19L79 15L70 2Z\" fill=\"#555\" stroke=\"#fff\"/>\n  <circle cx=90 cy=10 r=9 fill=\"#555\" stroke=\"#fff\"/>\n</svg>\n</span>\n<li>Custom 3D models (with <a href=\"obj2js\">OBJ loader</a>)\n<li>Easy coloring, texturing, transparency\n<li>Easy animation\n<li>Groups of objects\n<li>Flat or smooth shading\n<li>Custom transformations\n<!--li>Custom rendering-->\n<li>Controllable camera\n<li>Controllable light\n<li>Indexed or unindexed models\n<li>Automatic or custom normals\n<li>Less than 3kb!\n</ul>\n</center>\n\n<h3>Download</h3> <span>(v.1.02)</span>\n<br>\n<div id=dl>\n<a href=\"./src/w.js\" download>Commented, full<br>(23kb)</a>\n<a href=\"./dist/w.full.min.js\" download>Minified, full<br>(8.1kb, 2.6kb zipped)</a>\n<a href=\"./dist/w.lite.min.js\" download>Minified, lite<br>(5.8kb, 2.0kb zipped)<br><sub>No built-in models or smooth shading</sub></a>\n<p>or load it in HTML:\n<pre class=language-html><code>&lt;script src=//xem.github.io/W/dist/w1.0.full.min.js>&lt;/script></code></pre>\n</div>\n\n<h3>API</h3>\n<br>\n<pre id=api class=language-js><code>// Start the framework\nW.reset(canvasElement);\n\n// Set clear color (\"#fff\" by default)\nW.clearColor(\"#rgb\");\n\n// Set camera\n// Settings: position (x, y, z), angle (rx, ry, rz), fov\nW.camera({x, y, z, rx, ry, rz, fov});\n\n// Set light direction\nW.light({x, y, z});\n\n// Set ambient light's force (between 0 and 1)\nW.ambient(f);\n\n// Create a group of objects: name, position, rotation\nW.group({n, x, y, z, rx, ry, rz});\n\n// Draw a built-in 3D object\n// Settings: group, name, size, position, rotation, background, texture, smooth...\nlet settings = {g, n, size, x, y, z, rx, ry, rz, b, t, mix, s, ns, mode};\nW.plane(settings);\nW.billboard(settings);\nW.cube(settings);\nW.pyramid(settings);\nW.sphere(settings);\n\n// Add and draw a custom 3D model (see the OBJ file loader below)\nW.add(\"custom_model\", { vertices, uv, indices });\nW.custom_model(settings);\n\n// Move/resize a group or object: name, position, rotation, animation, delay (in ms)\nW.move({n, size, x, y, z, rx, ry, rz, a}, delay);\n\n// You can also use M to set a custom transformation matrix\nW.move({n, M}, delay);\n\n// Move camera / light: settings, animation, delay\nW.camera({x, y, z, rx, ry, rz, a}, delay);\nW.light({x, y, z, a}, delay);\n\n// Delete an element: name, delay\nW.delete(n, delay);\n</code></pre>\n\n<h3>Examples / Tutorial</h3>\n<br>\n<div id=tuto>\n<br><b>1) Setup</b>\n<br>First, create a HTML5 canvas <pre class=\"language-html inline\"><code>&lt;canvas id=canvasElement></pre></code> and call <pre class=\"language-js inline\"><code>W.reset(canvasElement)</pre></code>.\n<br>By default, the camera is placed at [0,0,0], looking at the -Z axis, with a 30 degrees FoV.\n<br>The scene contains an ambient light and a directional light pointing to the bottom: [0, -1, 0].\n<br>You can set the camera's position, rotation and FoV using <pre class=\"language-js inline\"><code>W.camera({x, y, z, rx, ry, rz, fov})</pre></code>.\n<br>You can set the directional light using <pre class=\"language-js inline\"><code>W.light({x, y, z})</pre></code> and the ambient light leved using <pre class=\"language-js inline\"><code>W.ambient(n)</pre></code>.\n<br>You can change the background color using <pre class=\"language-js inline\"><code>W.clearColor(c)</pre></code> (where c is a hex RGB/RGBA string).\n<br>No need to start a render loop, the canvas is redrawn after each screen refresh.\n\n\n<br>\n<br>\n\n<iframe src=\"demos/1.html\" width=850 height=490 frameBorder=\"0\" loading=\"lazy\"></iframe>\n\n\n<br><b>2) Draw built-in 3D models</b>\n\n<br>The full version of the framework includes 5 built-in shapes: <pre class=\"inline language-js\"><code class=\"language-js\">W.plane</code></pre>, <pre class=\"inline language-js\"><code class=\"language-js\">W.billboard</code></pre>, <pre class=\"inline language-js\"><code class=\"language-js\">W.cube</code></pre>, <pre class=\"inline language-js\"><code class=\"language-js\">W.pyramid</code></pre> and <pre class=\"inline language-js\"><code class=\"language-js\">W.sphere</code></pre>.\n<br>(Billboards are planes that always face the camera, and can be used to show sprites or particles for example.)\n<br>The shapes settings can contain the following values: <pre class=\"inline language-js\"><code class=\"language-js\">{g, n, size, w, h, d, x, y, z, rx, ry, rz, b, t, mix, s, mode}</code></pre>\n<ul style=\"columns:1\">\n<li><b>n</b>: name (required if you want to transform the object later)\n<li><b>g</b>: parent group (if a group is set, the model will be transformed relatively to this group)\n<li><b>w, h, d</b> or <b>size</b> (size sets w, h and d to the same value. Otherwise, w, h and d can be set individually. Default: 1)\n<li><b>x, y, z</b>: position (default: 0, 0, 0)\n<li><b>rx, ry, rz</b>: rotation (default: 0, 0, 0)\n<li><b>b</b>: background color (a \"#rgb\" or \"#rgba\" hex value. The \"#\" is optional. Default: \"888\")\n<li><b>t</b>: background texture (an IMG, CANVAS or VIDEO element present in the DOM)\n<li><b>mix</b>: if both b and t are set, a mix value between 0 and 1 can be used to mix the color and texture (0: fully textured, 1: fully colored)\n<li><b>s</b>: enable smooth shading (requires the full version of the framework. Default: false)\n<li><b>mode</b>: drawing mode (\"LINE_LOOP\", \"TRIANGLES\", etc. Default: \"TRIANGLES\")\n<li><b>M</b>: custom transformation matrix (Array(16), replaces x, y, z, rx, ry, rz)\n<li><b>ns</b>: by default, the shape will be shaded according to the directional light, but it can be disabled with this \"no shading\" option\n</ul>\nGroups can be created using <pre class=\"inline language-js\"><code class=\"language-js\">W.group({n, x, y, z, rx, ry, rz})</code></pre> (or <pre class=\"inline language-js\"><code class=\"language-js\">W.group({n, M})</code></pre>) and can be nested.\n<br>\n<br>\n\n<iframe src=\"demos/2.html\" width=850 height=440 frameBorder=\"0\" loading=\"lazy\"></iframe>\n<a class=link href=\"https://codepen.io/xem/pen/XWezLBE?editors=1010\">Edit on Codepen</a>\n\n<br>\n<br><b>3) Draw custom 3D models</b>\n\n<br>Besides the built-in shapes, W can also import and display custom 3D models.\n<br>You'll need:\n<ul>\n<li>An array of vertices coordinates: [x, y, z, x, y, z, ...],\n<li>Optionally: an array of uv texture coordinates: [u, v, u, v, ...] (if the model is textured),\n<li>Optionally: an array of indices (if the model uses indexed buffers). W.js supports both indexed and unindexed models!\n<li>Optionally: an array of normals (if you don't want to use the built-in flat/smooth normals)\n</ul>\nAdd the new model using <pre class=\"inline language-js\"><code class=\"language-js\">W.add(\"custom_shape\", {vertices, uv, indices})</code></pre> and draw it using <pre class=\"inline language-js\"><code class=\"language-js\">W.custom_shape(settings)</code></pre>.\n<br>\nCustom models can be drawn with the same settings as the built-in ones (group, size, position, rotation, background, shading...).\n<br>Flat shading is applied by default, smooth shading is only available in the full version of the framework.\n<br>OBJ files can be converted into W custom models using the following online tool: <b><a href=\"./obj2js/\">OBJ2JS</a></b>!\n<br>\n<br>\n\n<iframe src=\"demos/3.html\" width=850 height=440 frameBorder=\"0\" loading=\"lazy\"></iframe>\n<a class=link href=\"https://codepen.io/xem/pen/ExwbBrp?editors=1010\">Edit on Codepen</a>\n\n\n<br>\n<br>\n<br><b>4) Transformations and animation</b>\n\n\n<br>The groups and 3D shapes can be moved and transformed using <pre class=\"inline language-js\"><code class=\"language-js\">W.move({n, size, x, y, z, rx, ry, rz, b, t, a}, delay)</code></pre>.\n<br>If a <pre class=\"inline language-js\"><code class=\"language-js\">delay</code></pre> is provided, the transformation will be done after that delay in milliseconds. (0 by default)\n<br>If an <pre class=\"inline language-js\"><code class=\"language-js\">a</code></pre> parameter is provided, the transformation will be animated. The animation will last for <pre class=\"inline language-js\"><code class=\"language-js\">a</code></pre> milliseconds. (0 by default)\n<br>\n<br>The camera can be moved and animated using <pre class=\"inline language-js\"><code class=\"language-js\">W.camera({x, y, z, rx, ry, rz, a}, delay)</code></pre>.\n<br>The directional light can be moved and animated with <pre class=\"inline language-js\"><code class=\"language-js\">W.light({x, y, z, a}, delay)</code></pre>.\n\n\n<br>\n<br>\n<iframe src=\"demos/4.html\" width=850 height=340 frameBorder=\"0\" loading=\"lazy\"></iframe>\n<a class=link href=\"https://codepen.io/xem/pen/qBPVeZG?editors=1010\">Edit on Codepen</a>\n\n\n<br>\n<br>\n<br><b>5) Advanced techniques</b>\n\n<ul>\n<li>You can set a custom projection matrix with <pre class=\"inline language-js\"><code class=\"language-js\">W.projection=new DOMMatrix([...])</code></pre>.\n<br>The example below shows how to use an orthographic projection.\n</ul>\n\n<iframe src=\"demos/5.html\" width=850 height=370 frameBorder=\"0\" loading=\"lazy\"></iframe>\n\n<a class=link href=\"https://codepen.io/xem/pen/jOaVWKR?editors=1010\">Edit on Codepen</a>\n<br>\n<br>\n<ul>\n<li>You can set a custom transform matrix to any object with <pre class=\"inline language-js\"><code class=\"language-js\">W.move({n, M:[...]})</code></pre>.\n(animation is not possible in that case)\n<br>The example below shows how to perform asix-based rotations.\n</ul>\n\n<iframe src=\"demos/6.html\" width=850 height=400 frameBorder=\"0\" loading=\"lazy\"></iframe>\n\n<a class=link href=\"https://codepen.io/xem/pen/zYPorMq?editors=1010\">Edit on Codepen</a>\n<br>\n<br>\n<ul>\n<li>All the scene's objects can be used as a group and have other objects attached to it. The camera can also be put in a group.\n<li>The camera itself can be used as a group (to create a HUD or a skybox), or put inside a group (to make a 1st or 3rd person view).\n<br>The example below shows how to attach the camera to a moving character and attach a plane (the ground) to the camera.\n</ul>\n\n<iframe src=\"demos/7.html\" width=850 height=420 frameBorder=\"0\" loading=\"lazy\"></iframe>\n\n<a class=link href=\"https://codepen.io/xem/pen/mdqrZpP?editors=1010\">Edit on Codepen</a>\n<br>\n<br>\n<ul>\n<li>Items can be attached or detached from a group anytime using <pre class=\"inline language-js\"><code class=\"language-js\">W.move({g /* group / null */ })</code></pre>.\n</ul>\n\n<iframe src=\"demos/8.html\" width=850 height=320 frameBorder=\"0\" loading=\"lazy\"></iframe>\n\n<a class=link href=\"https://codepen.io/xem/pen/OJObMro?editors=1010\">Edit on Codepen</a>\n<br>\n<br>\n<!--\n<li>You can add per-vertex coloring by adding a <b>rgb</b> array in <pre class=\"inline language-js\"><code class=\"language-js\">W.add()</code></pre> (along with the vertices, uvs and indices)\n\n<iframe src=\"demos/8.html\" width=850 height=380 frameBorder=\"0\" loading=\"lazy\"></iframe>\n\n<li>You can use animated textures (from a GIF, video or canvas) by calling <pre class=\"inline language-js\"><code class=\"language-js\">W.animatedTextures=true</code></pre> (false by default).\n\n<iframe src=\"demos/9.html\" width=850 height=380 frameBorder=\"0\" loading=\"lazy\"></iframe>-->\n\n\n</ul>\n\n\n<br>\n<br>\n<br><b>Related projects and demos:</b>\n<ul>\n<li>Peach castle example by <a href=\"demos/castle.html\">Xem</a>\n<li>Free rotation cube example by <a href=\"demos/freerotation.html\">Xem and RandyTayler</a>\n<li>Haxe externs by <a href=\"https://github.com/gogoprog/haxe-w\">Gogoprog</a> + a <a href=\"https://github.com/gogoprog/ship2k22\">32kb shmup game</a>. \n<li>Modern JS version by <a href=\"https://github.com/Valerioageno/W\">Valerioageno</a>\n</ul>\n\n\n</div>\n<br>\n<br>\n<br>\n<h4 style=font-size:18px>2021-2022 - Made by xem, stas & kchplr</h4>\n<br>\n<br>\n<br>\n</center>\n\n\n\n\n<style>\n* { box-sizing: border-box }\nbody { font-size: 14px; font-family: calibri, arial; text-align: center; }\nh1 { font-family: 'Zen Tokyo Zoo', cursive; font-weight: normal; font-size: 100px; line-height: 40px; margin: 80px 0 30px; }\nh2 { margin: 5px }\nh3 { text-align: center; text-decoration: underline; margin: 40px 0; display: inline-block; }\n#dl { text-align: center; width: 660px; margin: auto; font-size: 13px; }\n#dl a { border: 2px solid #000; border-right-width: 4px; border-bottom-width: 4px; width: 205px; height: 105px; display: inline-block; vertical-align: top; text-decoration: none; color: #000; padding: 25px 0 0; margin: 5px; background: #f8f8f8; font-size: 16px; }\n#dl pre { border: 2px solid #000; border-right-width: 4px; border-bottom-width: 4px; width: 650px; 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t=s.languages.markup;t&&(t.tag.addInlined(\"style\",\"css\"),t.tag.addAttribute(\"style\",\"css\"))}(Prism);\nPrism.languages.clike={comment:[{pattern:/(^|[^\\\\])\\/\\*[\\s\\S]*?(?:\\*\\/|$)/,lookbehind:!0,greedy:!0},{pattern:/(^|[^\\\\:])\\/\\/.*/,lookbehind:!0,greedy:!0}],string:{pattern:/([\"'])(?:\\\\(?:\\r\\n|[\\s\\S])|(?!\\1)[^\\\\\\r\\n])*\\1/,greedy:!0},\"class-name\":{pattern:/(\\b(?:class|extends|implements|instanceof|interface|new|trait)\\s+|\\bcatch\\s+\\()[\\w.\\\\]+/i,lookbehind:!0,inside:{punctuation:/[.\\\\]/}},keyword:/\\b(?:break|catch|continue|do|else|finally|for|function|if|in|instanceof|new|null|return|throw|try|while)\\b/,boolean:/\\b(?:false|true)\\b/,function:/\\b\\w+(?=\\()/,number:/\\b0x[\\da-f]+\\b|(?:\\b\\d+(?:\\.\\d*)?|\\B\\.\\d+)(?:e[+-]?\\d+)?/i,operator:/[<>]=?|[!=]=?=?|--?|\\+\\+?|&&?|\\|\\|?|[?*/~^%]/,punctuation:/[{}[\\];(),.:]/};\nPrism.languages.javascript=Prism.languages.extend(\"clike\",{\"class-name\":[Prism.languages.clike[\"class-name\"],{pattern:/(^|[^$\\w\\xA0-\\uFFFF])(?!\\s)[_$A-Z\\xA0-\\uFFFF](?:(?!\\s)[$\\w\\xA0-\\uFFFF])*(?=\\.(?:constructor|prototype))/,lookbehind:!0}],keyword:[{pattern:/((?:^|\\})\\s*)catch\\b/,lookbehind:!0},{pattern:/(^|[^.]|\\.\\.\\.\\s*)\\b(?:as|assert(?=\\s*\\{)|async(?=\\s*(?:function\\b|\\(|[$\\w\\xA0-\\uFFFF]|$))|await|break|case|class|const|continue|debugger|default|delete|do|else|enum|export|extends|finally(?=\\s*(?:\\{|$))|for|from(?=\\s*(?:['\"]|$))|function|(?:get|set)(?=\\s*(?:[#\\[$\\w\\xA0-\\uFFFF]|$))|if|implements|import|in|instanceof|interface|let|new|null|of|package|private|protected|public|return|static|super|switch|this|throw|try|typeof|undefined|var|void|while|with|yield)\\b/,lookbehind:!0}],function:/#?(?!\\s)[_$a-zA-Z\\xA0-\\uFFFF](?:(?!\\s)[$\\w\\xA0-\\uFFFF])*(?=\\s*(?:\\.\\s*(?:apply|bind|call)\\s*)?\\()/,number:{pattern:RegExp(\"(^|[^\\\\w$])(?:NaN|Infinity|0[bB][01]+(?:_[01]+)*n?|0[oO][0-7]+(?:_[0-7]+)*n?|0[xX][\\\\dA-Fa-f]+(?:_[\\\\dA-Fa-f]+)*n?|\\\\d+(?:_\\\\d+)*n|(?:\\\\d+(?:_\\\\d+)*(?:\\\\.(?:\\\\d+(?:_\\\\d+)*)?)?|\\\\.\\\\d+(?:_\\\\d+)*)(?:[Ee][+-]?\\\\d+(?:_\\\\d+)*)?)(?![\\\\w$])\"),lookbehind:!0},operator:/--|\\+\\+|\\*\\*=?|=>|&&=?|\\|\\|=?|[!=]==|<<=?|>>>?=?|[-+*/%&|^!=<>]=?|\\.{3}|\\?\\?=?|\\?\\.?|[~:]/}),Prism.languages.javascript[\"class-name\"][0].pattern=/(\\b(?:class|extends|implements|instanceof|interface|new)\\s+)[\\w.\\\\]+/,Prism.languages.insertBefore(\"javascript\",\"keyword\",{regex:{pattern:/((?:^|[^$\\w\\xA0-\\uFFFF.\"'\\])\\s]|\\b(?:return|yield))\\s*)\\/(?:\\[(?:[^\\]\\\\\\r\\n]|\\\\.)*\\]|\\\\.|[^/\\\\\\[\\r\\n])+\\/[dgimyus]{0,7}(?=(?:\\s|\\/\\*(?:[^*]|\\*(?!\\/))*\\*\\/)*(?:$|[\\r\\n,.;:})\\]]|\\/\\/))/,lookbehind:!0,greedy:!0,inside:{\"regex-source\":{pattern:/^(\\/)[\\s\\S]+(?=\\/[a-z]*$)/,lookbehind:!0,alias:\"language-regex\",inside:Prism.languages.regex},\"regex-delimiter\":/^\\/|\\/$/,\"regex-flags\":/^[a-z]+$/}},\"function-variable\":{pattern:/#?(?!\\s)[_$a-zA-Z\\xA0-\\uFFFF](?:(?!\\s)[$\\w\\xA0-\\uFFFF])*(?=\\s*[=:]\\s*(?:async\\s*)?(?:\\bfunction\\b|(?:\\((?:[^()]|\\([^()]*\\))*\\)|(?!\\s)[_$a-zA-Z\\xA0-\\uFFFF](?:(?!\\s)[$\\w\\xA0-\\uFFFF])*)\\s*=>))/,alias:\"function\"},parameter:[{pattern:/(function(?:\\s+(?!\\s)[_$a-zA-Z\\xA0-\\uFFFF](?:(?!\\s)[$\\w\\xA0-\\uFFFF])*)?\\s*\\(\\s*)(?!\\s)(?:[^()\\s]|\\s+(?![\\s)])|\\([^()]*\\))+(?=\\s*\\))/,lookbehind:!0,inside:Prism.languages.javascript},{pattern:/(^|[^$\\w\\xA0-\\uFFFF])(?!\\s)[_$a-z\\xA0-\\uFFFF](?:(?!\\s)[$\\w\\xA0-\\uFFFF])*(?=\\s*=>)/i,lookbehind:!0,inside:Prism.languages.javascript},{pattern:/(\\(\\s*)(?!\\s)(?:[^()\\s]|\\s+(?![\\s)])|\\([^()]*\\))+(?=\\s*\\)\\s*=>)/,lookbehind:!0,inside:Prism.languages.javascript},{pattern:/((?:\\b|\\s|^)(?!(?:as|async|await|break|case|catch|class|const|continue|debugger|default|delete|do|else|enum|export|extends|finally|for|from|function|get|if|implements|import|in|instanceof|interface|let|new|null|of|package|private|protected|public|return|set|static|super|switch|this|throw|try|typeof|undefined|var|void|while|with|yield)(?![$\\w\\xA0-\\uFFFF]))(?:(?!\\s)[_$a-zA-Z\\xA0-\\uFFFF](?:(?!\\s)[$\\w\\xA0-\\uFFFF])*\\s*)\\(\\s*|\\]\\s*\\(\\s*)(?!\\s)(?:[^()\\s]|\\s+(?![\\s)])|\\([^()]*\\))+(?=\\s*\\)\\s*\\{)/,lookbehind:!0,inside:Prism.languages.javascript}],constant:/\\b[A-Z](?:[A-Z_]|\\dx?)*\\b/}),Prism.languages.insertBefore(\"javascript\",\"string\",{hashbang:{pattern:/^#!.*/,greedy:!0,alias:\"comment\"},\"template-string\":{pattern:/`(?:\\\\[\\s\\S]|\\$\\{(?:[^{}]|\\{(?:[^{}]|\\{[^}]*\\})*\\})+\\}|(?!\\$\\{)[^\\\\`])*`/,greedy:!0,inside:{\"template-punctuation\":{pattern:/^`|`$/,alias:\"string\"},interpolation:{pattern:/((?:^|[^\\\\])(?:\\\\{2})*)\\$\\{(?:[^{}]|\\{(?:[^{}]|\\{[^}]*\\})*\\})+\\}/,lookbehind:!0,inside:{\"interpolation-punctuation\":{pattern:/^\\$\\{|\\}$/,alias:\"punctuation\"},rest:Prism.languages.javascript}},string:/[\\s\\S]+/}},\"string-property\":{pattern:/((?:^|[,{])[ 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  },
  {
    "path": "obj2js/3d-model.obj",
    "content": "# 3ds Max Wavefront OBJ Exporter v0.97b - (c)2007 guruware\n# File Created: 13.09.2015 12:13:11\n\nmtllib 3d-model.mtl\n\n#\n# object Component_1_024\n#\n\nv  3314.7778 538.6130 4155.2817\nv  3302.9316 628.5947 4155.2817\nv  3314.7778 718.5764 4155.2817\nv  3349.5095 802.4259 4155.2817\nv  3349.5095 454.7634 4155.2817\nv  3404.7595 874.4292 4155.2817\nv  3404.7595 382.7602 4155.2817\nv  3476.7629 929.6792 4155.2817\nv  3476.7629 327.5101 4155.2817\nv  3560.6125 964.4109 4155.2817\nv  3560.6125 292.7785 4155.2817\nv  3650.5942 976.2572 4155.2817\nv  3650.5942 280.9322 4155.2817\nv  3740.5757 964.4109 4155.2817\nv  3740.5757 292.7785 4155.2817\nv  3824.4253 929.6792 4155.2817\nv  3824.4253 327.5101 4155.2817\nv  3896.4287 874.4292 4155.2817\nv  3896.4287 382.7602 4155.2817\nv  3951.6787 802.4259 4155.2817\nv  3951.6787 454.7634 4155.2817\nv  3986.4104 718.5764 4155.2817\nv  3986.4104 538.6130 4155.2817\nv  3998.2566 628.5947 4155.2817\nv  3998.2566 628.5947 4253.7065\nv  3986.4104 718.5763 4253.7065\nv  3951.6787 802.4259 4253.7065\nv  3896.4287 874.4292 4253.7065\nv  3824.4253 929.6792 4253.7065\nv  3740.5757 964.4109 4253.7065\nv  3650.5942 976.2572 4253.7065\nv  3560.6125 964.4109 4253.7065\nv  3476.7629 929.6792 4253.7065\nv  3404.7595 874.4292 4253.7065\nv  3349.5095 802.4259 4253.7065\nv  3314.7778 718.5763 4253.7065\nv  3302.9316 628.5947 4253.7065\nv  3314.7778 538.6130 4253.7065\nv  3349.5095 454.7634 4253.7065\nv  3404.7595 382.7601 4253.7065\nv  3476.7629 327.5101 4253.7065\nv  3560.6125 292.7785 4253.7065\nv  3650.5942 280.9322 4253.7065\nv  3740.5757 292.7785 4253.7065\nv  3824.4253 327.5101 4253.7065\nv  3896.4287 382.7601 4253.7065\nv  3951.6787 454.7634 4253.7065\nv  3986.4104 538.6130 4253.7065\n# 48 vertices\n\nvn 0.0000 0.0000 -1.0000\nvn 1.0000 0.0000 -0.0000\nvn 0.9659 0.2588 0.0000\nvn 0.8660 0.5000 0.0000\nvn 0.7071 0.7071 0.0000\nvn 0.5000 0.8660 0.0000\nvn 0.2588 0.9659 0.0000\nvn 0.0000 1.0000 0.0000\nvn -0.2588 0.9659 0.0000\nvn -0.5000 0.8660 0.0000\nvn -0.7071 0.7071 0.0000\nvn -0.8660 0.5000 0.0000\nvn -0.9659 0.2588 0.0000\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 -0.2588 -0.0000\nvn -0.8660 -0.5000 -0.0000\nvn -0.7071 -0.7071 -0.0000\nvn -0.5000 -0.8660 -0.0000\nvn -0.2588 -0.9659 -0.0000\nvn -0.0000 -1.0000 -0.0000\nvn 0.2588 -0.9659 -0.0000\nvn 0.5000 -0.8660 -0.0000\nvn 0.7071 -0.7071 -0.0000\nvn 0.8660 -0.5000 -0.0000\nvn 0.9659 -0.2588 -0.0000\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_024\nusemtl wire_028089177\ns off\nf 1/1/1 2/1/1 3/1/1 4/1/1 \nf 5/1/1 1/1/1 4/1/1 6/1/1 \nf 7/1/1 5/1/1 6/1/1 8/1/1 \nf 9/1/1 7/1/1 8/1/1 10/1/1 \nf 11/1/1 9/1/1 10/1/1 12/1/1 \nf 13/1/1 11/1/1 12/1/1 14/1/1 \nf 15/1/1 13/1/1 14/1/1 16/1/1 \nf 17/1/1 15/1/1 16/1/1 18/1/1 \nf 19/1/1 17/1/1 18/1/1 20/1/1 \nf 21/1/1 19/1/1 20/1/1 22/1/1 \nf 23/1/1 21/1/1 22/1/1 24/1/1 \nf 25/1/2 24/1/2 22/1/3 26/1/3 \nf 26/1/3 22/1/3 20/1/4 27/1/4 \nf 27/1/4 20/1/4 18/1/5 28/1/5 \nf 18/1/5 16/1/6 29/1/6 28/1/5 \nf 16/1/6 14/1/7 30/1/7 29/1/6 \nf 14/1/7 12/1/8 31/1/8 30/1/7 \nf 12/1/8 10/1/9 32/1/9 31/1/8 \nf 10/1/9 8/1/10 33/1/10 32/1/9 \nf 8/1/10 6/1/11 34/1/11 33/1/10 \nf 4/1/12 35/1/12 34/1/11 6/1/11 \nf 3/1/13 36/1/13 35/1/12 4/1/12 \nf 2/1/14 37/1/14 36/1/13 3/1/13 \nf 1/1/15 38/1/15 37/1/14 2/1/14 \nf 5/1/16 39/1/16 38/1/15 1/1/15 \nf 7/1/17 40/1/17 39/1/16 5/1/16 \nf 7/1/17 9/1/18 41/1/18 40/1/17 \nf 9/1/18 11/1/19 42/1/19 41/1/18 \nf 11/1/19 13/1/20 43/1/20 42/1/19 \nf 13/1/20 15/1/21 44/1/21 43/1/20 \nf 15/1/21 17/1/22 45/1/22 44/1/21 \nf 17/1/22 19/1/23 46/1/23 45/1/22 \nf 46/1/23 19/1/23 21/1/24 47/1/24 \nf 47/1/24 21/1/24 23/1/25 48/1/25 \nf 48/1/25 23/1/25 24/1/2 25/1/2 \n# 35 polygons\n\n#\n# object Component_1_023\n#\n\nv  -3979.0830 535.0575 4155.2817\nv  -3990.9292 625.0392 4155.2817\nv  -3979.0830 715.0209 4155.2817\nv  -3944.3513 798.8704 4155.2817\nv  -3944.3513 451.2079 4155.2817\nv  -3889.1013 870.8737 4155.2817\nv  -3889.1013 379.2047 4155.2817\nv  -3817.0979 926.1238 4155.2817\nv  -3817.0979 323.9547 4155.2817\nv  -3733.2483 960.8553 4155.2817\nv  -3733.2483 289.2230 4155.2817\nv  -3643.2666 972.7017 4155.2817\nv  -3643.2666 277.3767 4155.2817\nv  -3553.2852 960.8553 4155.2817\nv  -3553.2852 289.2230 4155.2817\nv  -3469.4355 926.1238 4155.2817\nv  -3469.4355 323.9547 4155.2817\nv  -3397.4321 870.8737 4155.2817\nv  -3397.4321 379.2047 4155.2817\nv  -3342.1821 798.8704 4155.2817\nv  -3342.1821 451.2079 4155.2817\nv  -3307.4504 715.0209 4155.2817\nv  -3307.4504 535.0575 4155.2817\nv  -3295.6042 625.0392 4155.2817\nv  -3295.6042 625.0392 4253.7065\nv  -3307.4504 715.0209 4253.7065\nv  -3342.1821 798.8704 4253.7065\nv  -3397.4321 870.8737 4253.7065\nv  -3469.4355 926.1238 4253.7065\nv  -3553.2852 960.8553 4253.7065\nv  -3643.2666 972.7017 4253.7065\nv  -3733.2483 960.8553 4253.7065\nv  -3817.0979 926.1238 4253.7065\nv  -3889.1013 870.8737 4253.7065\nv  -3944.3513 798.8704 4253.7065\nv  -3979.0830 715.0209 4253.7065\nv  -3990.9292 625.0392 4253.7065\nv  -3979.0830 535.0575 4253.7065\nv  -3944.3513 451.2079 4253.7065\nv  -3889.1013 379.2047 4253.7065\nv  -3817.0979 323.9546 4253.7065\nv  -3733.2483 289.2230 4253.7065\nv  -3643.2666 277.3767 4253.7065\nv  -3553.2852 289.2230 4253.7065\nv  -3469.4355 323.9546 4253.7065\nv  -3397.4321 379.2047 4253.7065\nv  -3342.1821 451.2079 4253.7065\nv  -3307.4504 535.0575 4253.7065\n# 48 vertices\n\nvn 0.0000 0.0000 -1.0000\nvn 1.0000 0.0000 -0.0000\nvn 0.9659 0.2588 0.0000\nvn 0.8660 0.5000 0.0000\nvn 0.7071 0.7071 0.0000\nvn 0.5000 0.8660 0.0000\nvn 0.2588 0.9659 0.0000\nvn 0.0000 1.0000 0.0000\nvn -0.2588 0.9659 0.0000\nvn -0.5000 0.8660 0.0000\nvn -0.7071 0.7071 0.0000\nvn -0.8660 0.5000 0.0000\nvn -0.9659 0.2588 0.0000\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 -0.2588 -0.0000\nvn -0.8660 -0.5000 -0.0000\nvn -0.7071 -0.7071 -0.0000\nvn -0.5000 -0.8660 -0.0000\nvn -0.2588 -0.9659 -0.0000\nvn -0.0000 -1.0000 -0.0000\nvn 0.2588 -0.9659 -0.0000\nvn 0.5000 -0.8660 -0.0000\nvn 0.7071 -0.7071 -0.0000\nvn 0.8660 -0.5000 -0.0000\nvn 0.9659 -0.2588 -0.0000\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_023\nusemtl wire_177028149\ns off\nf 49/2/26 50/2/26 51/2/26 52/2/26 \nf 53/2/26 49/2/26 52/2/26 54/2/26 \nf 55/2/26 53/2/26 54/2/26 56/2/26 \nf 57/2/26 55/2/26 56/2/26 58/2/26 \nf 59/2/26 57/2/26 58/2/26 60/2/26 \nf 61/2/26 59/2/26 60/2/26 62/2/26 \nf 63/2/26 61/2/26 62/2/26 64/2/26 \nf 65/2/26 63/2/26 64/2/26 66/2/26 \nf 67/2/26 65/2/26 66/2/26 68/2/26 \nf 69/2/26 67/2/26 68/2/26 70/2/26 \nf 71/2/26 69/2/26 70/2/26 72/2/26 \nf 73/2/27 72/2/27 70/2/28 74/2/28 \nf 74/2/28 70/2/28 68/2/29 75/2/29 \nf 75/2/29 68/2/29 66/2/30 76/2/30 \nf 66/2/30 64/2/31 77/2/31 76/2/30 \nf 64/2/31 62/2/32 78/2/32 77/2/31 \nf 62/2/32 60/2/33 79/2/33 78/2/32 \nf 60/2/33 58/2/34 80/2/34 79/2/33 \nf 58/2/34 56/2/35 81/2/35 80/2/34 \nf 56/2/35 54/2/36 82/2/36 81/2/35 \nf 52/2/37 83/2/37 82/2/36 54/2/36 \nf 51/2/38 84/2/38 83/2/37 52/2/37 \nf 50/2/39 85/2/39 84/2/38 51/2/38 \nf 49/2/40 86/2/40 85/2/39 50/2/39 \nf 53/2/41 87/2/41 86/2/40 49/2/40 \nf 55/2/42 88/2/42 87/2/41 53/2/41 \nf 55/2/42 57/2/43 89/2/43 88/2/42 \nf 57/2/43 59/2/44 90/2/44 89/2/43 \nf 59/2/44 61/2/45 91/2/45 90/2/44 \nf 61/2/45 63/2/46 92/2/46 91/2/45 \nf 63/2/46 65/2/47 93/2/47 92/2/46 \nf 65/2/47 67/2/48 94/2/48 93/2/47 \nf 94/2/48 67/2/48 69/2/49 95/2/49 \nf 95/2/49 69/2/49 71/2/50 96/2/50 \nf 96/2/50 71/2/50 72/2/27 73/2/27 \n# 35 polygons\n\n#\n# object Component_1_022\n#\n\nv  -3978.6194 7854.8896 4155.2817\nv  -3990.4656 7944.8716 4155.2817\nv  -3978.6194 8034.8530 4155.2817\nv  -3943.8877 8118.7026 4155.2817\nv  -3943.8877 7771.0400 4155.2817\nv  -3888.6377 8190.7061 4155.2817\nv  -3888.6377 7699.0371 4155.2817\nv  -3816.6343 8245.9561 4155.2817\nv  -3816.6343 7643.7871 4155.2817\nv  -3732.7847 8280.6875 4155.2817\nv  -3732.7847 7609.0552 4155.2817\nv  -3642.8030 8292.5342 4155.2817\nv  -3642.8030 7597.2090 4155.2817\nv  -3552.8213 8280.6875 4155.2817\nv  -3552.8213 7609.0552 4155.2817\nv  -3468.9719 8245.9561 4155.2817\nv  -3468.9719 7643.7871 4155.2817\nv  -3396.9685 8190.7061 4155.2817\nv  -3396.9685 7699.0371 4155.2817\nv  -3341.7185 8118.7026 4155.2817\nv  -3341.7185 7771.0400 4155.2817\nv  -3306.9868 8034.8530 4155.2817\nv  -3306.9868 7854.8896 4155.2817\nv  -3295.1406 7944.8716 4155.2817\nv  -3295.1406 7944.8716 4253.7065\nv  -3306.9868 8034.8530 4253.7065\nv  -3341.7185 8118.7026 4253.7065\nv  -3396.9685 8190.7061 4253.7065\nv  -3468.9719 8245.9561 4253.7065\nv  -3552.8213 8280.6875 4253.7065\nv  -3642.8030 8292.5342 4253.7065\nv  -3732.7847 8280.6875 4253.7065\nv  -3816.6343 8245.9561 4253.7065\nv  -3888.6377 8190.7061 4253.7065\nv  -3943.8877 8118.7026 4253.7065\nv  -3978.6194 8034.8530 4253.7065\nv  -3990.4656 7944.8716 4253.7065\nv  -3978.6194 7854.8896 4253.7065\nv  -3943.8877 7771.0400 4253.7065\nv  -3888.6377 7699.0371 4253.7065\nv  -3816.6343 7643.7871 4253.7065\nv  -3732.7847 7609.0552 4253.7065\nv  -3642.8030 7597.2090 4253.7065\nv  -3552.8213 7609.0552 4253.7065\nv  -3468.9719 7643.7871 4253.7065\nv  -3396.9685 7699.0371 4253.7065\nv  -3341.7185 7771.0400 4253.7065\nv  -3306.9868 7854.8896 4253.7065\n# 48 vertices\n\nvn 0.0000 0.0000 -1.0000\nvn 1.0000 0.0000 -0.0000\nvn 0.9659 0.2588 0.0000\nvn 0.8660 0.5000 0.0000\nvn 0.7071 0.7071 0.0000\nvn 0.5000 0.8660 0.0000\nvn 0.2588 0.9659 0.0000\nvn 0.0000 1.0000 0.0000\nvn -0.2588 0.9659 0.0000\nvn -0.5000 0.8660 0.0000\nvn -0.7071 0.7071 0.0000\nvn -0.8660 0.5000 0.0000\nvn -0.9659 0.2588 0.0000\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 -0.2588 -0.0000\nvn -0.8660 -0.5000 -0.0000\nvn -0.7071 -0.7071 -0.0000\nvn -0.5000 -0.8660 -0.0000\nvn -0.2588 -0.9659 -0.0000\nvn -0.0000 -1.0000 -0.0000\nvn 0.2588 -0.9659 -0.0000\nvn 0.5000 -0.8660 -0.0000\nvn 0.7071 -0.7071 -0.0000\nvn 0.8660 -0.5000 -0.0000\nvn 0.9659 -0.2588 -0.0000\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_022\nusemtl wire_177028149\ns off\nf 97/3/51 98/3/51 99/3/51 100/3/51 \nf 101/3/51 97/3/51 100/3/51 102/3/51 \nf 103/3/51 101/3/51 102/3/51 104/3/51 \nf 105/3/51 103/3/51 104/3/51 106/3/51 \nf 107/3/51 105/3/51 106/3/51 108/3/51 \nf 109/3/51 107/3/51 108/3/51 110/3/51 \nf 111/3/51 109/3/51 110/3/51 112/3/51 \nf 113/3/51 111/3/51 112/3/51 114/3/51 \nf 115/3/51 113/3/51 114/3/51 116/3/51 \nf 117/3/51 115/3/51 116/3/51 118/3/51 \nf 119/3/51 117/3/51 118/3/51 120/3/51 \nf 121/3/52 120/3/52 118/3/53 122/3/53 \nf 122/3/53 118/3/53 116/3/54 123/3/54 \nf 123/3/54 116/3/54 114/3/55 124/3/55 \nf 114/3/55 112/3/56 125/3/56 124/3/55 \nf 112/3/56 110/3/57 126/3/57 125/3/56 \nf 110/3/57 108/3/58 127/3/58 126/3/57 \nf 108/3/58 106/3/59 128/3/59 127/3/58 \nf 106/3/59 104/3/60 129/3/60 128/3/59 \nf 104/3/60 102/3/61 130/3/61 129/3/60 \nf 100/3/62 131/3/62 130/3/61 102/3/61 \nf 99/3/63 132/3/63 131/3/62 100/3/62 \nf 98/3/64 133/3/64 132/3/63 99/3/63 \nf 97/3/65 134/3/65 133/3/64 98/3/64 \nf 101/3/66 135/3/66 134/3/65 97/3/65 \nf 103/3/67 136/3/67 135/3/66 101/3/66 \nf 103/3/67 105/3/68 137/3/68 136/3/67 \nf 105/3/68 107/3/69 138/3/69 137/3/68 \nf 107/3/69 109/3/70 139/3/70 138/3/69 \nf 109/3/70 111/3/71 140/3/71 139/3/70 \nf 111/3/71 113/3/72 141/3/72 140/3/71 \nf 113/3/72 115/3/73 142/3/73 141/3/72 \nf 142/3/73 115/3/73 117/3/74 143/3/74 \nf 143/3/74 117/3/74 119/3/75 144/3/75 \nf 144/3/75 119/3/75 120/3/52 121/3/52 \n# 35 polygons\n\n#\n# object Component_1_021\n#\n\nv  3317.9341 7844.4053 4155.2817\nv  3306.0879 7934.3872 4155.2817\nv  3317.9341 8024.3687 4155.2817\nv  3352.6658 8108.2183 4155.2817\nv  3352.6658 7760.5557 4155.2817\nv  3407.9158 8180.2217 4155.2817\nv  3407.9158 7688.5527 4155.2817\nv  3479.9192 8235.4717 4155.2817\nv  3479.9192 7633.3027 4155.2817\nv  3563.7688 8270.2031 4155.2817\nv  3563.7688 7598.5708 4155.2817\nv  3653.7505 8282.0498 4155.2817\nv  3653.7505 7586.7246 4155.2817\nv  3743.7319 8270.2031 4155.2817\nv  3743.7319 7598.5708 4155.2817\nv  3827.5815 8235.4717 4155.2817\nv  3827.5815 7633.3027 4155.2817\nv  3899.5850 8180.2217 4155.2817\nv  3899.5850 7688.5527 4155.2817\nv  3954.8350 8108.2183 4155.2817\nv  3954.8350 7760.5557 4155.2817\nv  3989.5667 8024.3687 4155.2817\nv  3989.5667 7844.4053 4155.2817\nv  4001.4128 7934.3872 4155.2817\nv  4001.4128 7934.3872 4253.7065\nv  3989.5667 8024.3687 4253.7065\nv  3954.8350 8108.2183 4253.7065\nv  3899.5850 8180.2217 4253.7065\nv  3827.5815 8235.4717 4253.7065\nv  3743.7319 8270.2031 4253.7065\nv  3653.7505 8282.0498 4253.7065\nv  3563.7688 8270.2031 4253.7065\nv  3479.9192 8235.4717 4253.7065\nv  3407.9158 8180.2217 4253.7065\nv  3352.6658 8108.2183 4253.7065\nv  3317.9341 8024.3687 4253.7065\nv  3306.0879 7934.3872 4253.7065\nv  3317.9341 7844.4053 4253.7065\nv  3352.6658 7760.5557 4253.7065\nv  3407.9158 7688.5527 4253.7065\nv  3479.9192 7633.3027 4253.7065\nv  3563.7688 7598.5708 4253.7065\nv  3653.7505 7586.7246 4253.7065\nv  3743.7319 7598.5708 4253.7065\nv  3827.5815 7633.3027 4253.7065\nv  3899.5850 7688.5527 4253.7065\nv  3954.8350 7760.5557 4253.7065\nv  3989.5667 7844.4053 4253.7065\n# 48 vertices\n\nvn 0.0000 0.0000 -1.0000\nvn 1.0000 0.0000 -0.0000\nvn 0.9659 0.2588 0.0000\nvn 0.8660 0.5000 0.0000\nvn 0.7071 0.7071 0.0000\nvn 0.5000 0.8660 0.0000\nvn 0.2588 0.9659 0.0000\nvn 0.0000 1.0000 0.0000\nvn -0.2588 0.9659 0.0000\nvn -0.5000 0.8660 0.0000\nvn -0.7071 0.7071 0.0000\nvn -0.8660 0.5000 0.0000\nvn -0.9659 0.2588 0.0000\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 -0.2588 -0.0000\nvn -0.8660 -0.5000 -0.0000\nvn -0.7071 -0.7071 -0.0000\nvn -0.5000 -0.8660 -0.0000\nvn -0.2588 -0.9659 -0.0000\nvn -0.0000 -1.0000 -0.0000\nvn 0.2588 -0.9659 -0.0000\nvn 0.5000 -0.8660 -0.0000\nvn 0.7071 -0.7071 -0.0000\nvn 0.8660 -0.5000 -0.0000\nvn 0.9659 -0.2588 -0.0000\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_021\nusemtl wire_134006006\ns off\nf 145/4/76 146/4/76 147/4/76 148/4/76 \nf 149/4/76 145/4/76 148/4/76 150/4/76 \nf 151/4/76 149/4/76 150/4/76 152/4/76 \nf 153/4/76 151/4/76 152/4/76 154/4/76 \nf 155/4/76 153/4/76 154/4/76 156/4/76 \nf 157/4/76 155/4/76 156/4/76 158/4/76 \nf 159/4/76 157/4/76 158/4/76 160/4/76 \nf 161/4/76 159/4/76 160/4/76 162/4/76 \nf 163/4/76 161/4/76 162/4/76 164/4/76 \nf 165/4/76 163/4/76 164/4/76 166/4/76 \nf 167/4/76 165/4/76 166/4/76 168/4/76 \nf 169/4/77 168/4/77 166/4/78 170/4/78 \nf 170/4/78 166/4/78 164/4/79 171/4/79 \nf 171/4/79 164/4/79 162/4/80 172/4/80 \nf 162/4/80 160/4/81 173/4/81 172/4/80 \nf 160/4/81 158/4/82 174/4/82 173/4/81 \nf 158/4/82 156/4/83 175/4/83 174/4/82 \nf 156/4/83 154/4/84 176/4/84 175/4/83 \nf 154/4/84 152/4/85 177/4/85 176/4/84 \nf 152/4/85 150/4/86 178/4/86 177/4/85 \nf 148/4/87 179/4/87 178/4/86 150/4/86 \nf 147/4/88 180/4/88 179/4/87 148/4/87 \nf 146/4/89 181/4/89 180/4/88 147/4/88 \nf 145/4/90 182/4/90 181/4/89 146/4/89 \nf 149/4/91 183/4/91 182/4/90 145/4/90 \nf 151/4/92 184/4/92 183/4/91 149/4/91 \nf 151/4/92 153/4/93 185/4/93 184/4/92 \nf 153/4/93 155/4/94 186/4/94 185/4/93 \nf 155/4/94 157/4/95 187/4/95 186/4/94 \nf 157/4/95 159/4/96 188/4/96 187/4/95 \nf 159/4/96 161/4/97 189/4/97 188/4/96 \nf 161/4/97 163/4/98 190/4/98 189/4/97 \nf 190/4/98 163/4/98 165/4/99 191/4/99 \nf 191/4/99 165/4/99 167/4/100 192/4/100 \nf 192/4/100 167/4/100 168/4/77 169/4/77 \n# 35 polygons\n\n#\n# object Component_2_006\n#\n\nv  -4217.2612 36.4451 4253.7061\nv  -4253.7065 8507.4121 4253.7075\nv  -4253.7065 0.0000 4253.7061\nv  4253.7056 0.0000 4253.7061\nv  4217.2612 36.4451 4253.7061\nv  4217.2612 8470.9678 4253.7075\nv  4253.7056 8507.4121 4253.7075\nv  -4217.2612 8470.9678 4253.7075\nv  -3990.9297 625.0390 4253.7061\nv  -3979.0835 535.0574 4253.7061\nv  -3944.3518 451.2078 4253.7061\nv  -3889.1018 379.2045 4253.7061\nv  -3817.0986 323.9545 4253.7061\nv  -3733.2490 289.2228 4253.7061\nv  -3643.2673 277.3766 4253.7061\nv  -3553.2856 289.2228 4253.7061\nv  -3469.4360 323.9545 4253.7061\nv  -3397.4326 379.2045 4253.7061\nv  -3342.1826 451.2078 4253.7061\nv  -3307.4512 535.0574 4253.7061\nv  -3295.6047 625.0390 4253.7061\nv  3560.6118 292.7784 4253.7061\nv  3650.5933 280.9320 4253.7061\nv  3740.5752 292.7784 4253.7061\nv  3824.4243 327.5100 4253.7061\nv  3896.4277 382.7600 4253.7061\nv  3951.6782 454.7633 4253.7061\nv  3986.4097 538.6129 4253.7061\nv  3998.2554 628.5945 4253.7061\nv  4001.4116 7934.3867 4253.7075\nv  3989.5649 8024.3682 4253.7075\nv  3954.8345 8108.2183 4253.7075\nv  3899.5840 8180.2217 4253.7075\nv  3827.5806 8235.4707 4253.7075\nv  3743.7310 8270.2031 4253.7075\nv  3653.7495 8282.0498 4253.7075\nv  3563.7671 8270.2031 4253.7075\nv  -3295.1416 7944.8716 4253.7075\nv  -3306.9878 8034.8530 4253.7075\nv  -3341.7195 8118.7026 4253.7075\nv  -3396.9695 8190.7061 4253.7075\nv  -3468.9729 8245.9561 4253.7075\nv  -3552.8223 8280.6875 4253.7075\nv  -3642.8042 8292.5342 4253.7075\nv  -3732.7856 8280.6875 4253.7075\nv  -3816.6353 8245.9561 4253.7075\nv  -3888.6387 8190.7061 4253.7075\nv  -3943.8887 8118.7026 4253.7075\nv  -3978.6201 8034.8530 4253.7075\nv  -3990.4666 7944.8716 4253.7075\nv  -3979.0835 715.0208 4253.7061\nv  -3978.6201 7854.8896 4253.7075\nv  -3944.3518 798.8702 4253.7061\nv  -3943.8887 7771.0400 4253.7075\nv  -3889.1018 870.8736 4253.7061\nv  -3888.6387 7699.0371 4253.7075\nv  -3817.0986 926.1236 4253.7061\nv  -3816.6353 7643.7866 4253.7075\nv  -3733.2490 960.8552 4253.7061\nv  -3732.7856 7609.0557 4253.7075\nv  -3643.2673 972.7015 4253.7061\nv  -3642.8042 7597.2090 4253.7075\nv  -3553.2856 960.8552 4253.7061\nv  -3552.8223 7609.0557 4253.7075\nv  -3469.4360 926.1236 4253.7061\nv  -3468.9729 7643.7866 4253.7075\nv  -3397.4326 870.8736 4253.7061\nv  -3396.9695 7699.0371 4253.7075\nv  -3342.1826 798.8702 4253.7061\nv  -3341.7195 7771.0400 4253.7075\nv  -3307.4512 715.0208 4253.7061\nv  -3306.9878 7854.8896 4253.7075\nv  3404.7583 382.7600 4253.7061\nv  3476.7617 327.5100 4253.7061\nv  3349.5083 454.7633 4253.7061\nv  3314.7773 538.6129 4253.7061\nv  3302.9307 628.5945 4253.7061\nv  3306.0869 7934.3867 4253.7075\nv  3317.9326 8024.3682 4253.7075\nv  3352.6646 8108.2183 4253.7075\nv  3407.9150 8180.2217 4253.7075\nv  3479.9180 8235.4707 4253.7075\nv  3314.7773 718.5762 4253.7061\nv  3317.9326 7844.4048 4253.7075\nv  3349.5083 802.4258 4253.7061\nv  3352.6646 7760.5557 4253.7075\nv  3404.7583 874.4291 4253.7061\nv  3407.9150 7688.5522 4253.7075\nv  3476.7617 929.6791 4253.7061\nv  3479.9180 7633.3022 4253.7075\nv  3560.6118 964.4107 4253.7061\nv  3563.7671 7598.5703 4253.7075\nv  3650.5933 976.2571 4253.7061\nv  3653.7495 7586.7246 4253.7075\nv  3740.5752 964.4107 4253.7061\nv  3743.7310 7598.5703 4253.7075\nv  3824.4243 929.6791 4253.7061\nv  3827.5806 7633.3022 4253.7075\nv  3896.4277 874.4291 4253.7061\nv  3899.5840 7688.5522 4253.7075\nv  3951.6782 802.4258 4253.7061\nv  3954.8345 7760.5557 4253.7075\nv  3986.4097 718.5762 4253.7061\nv  3989.5649 7844.4048 4253.7075\n# 104 vertices\n\nvn 0.0000 -0.0000 1.0000\n# 1 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_2_006\nusemtl wire_143224087\ns off\nf 193/5/101 194/5/101 195/5/101 196/5/101 \nf 197/5/101 193/5/101 196/5/101 198/5/101 \nf 198/5/101 196/5/101 199/5/101 200/5/101 \nf 200/5/101 199/5/101 194/5/101 193/5/101 \nf 201/5/101 200/5/101 193/5/101 202/5/101 \nf 203/5/101 202/5/101 193/5/101 204/5/101 \nf 205/5/101 204/5/101 193/5/101 206/5/101 \nf 207/5/101 206/5/101 193/5/101 197/5/101 \nf 208/5/101 207/5/101 197/5/101 209/5/101 \nf 210/5/101 209/5/101 197/5/101 211/5/101 \nf 212/5/101 211/5/101 197/5/101 213/5/101 \nf 214/5/101 213/5/101 197/5/101 215/5/101 \nf 216/5/101 215/5/101 197/5/101 217/5/101 \nf 218/5/101 217/5/101 197/5/101 219/5/101 \nf 220/5/101 219/5/101 197/5/101 221/5/101 \nf 222/5/101 221/5/101 197/5/101 198/5/101 \nf 223/5/101 222/5/101 198/5/101 224/5/101 \nf 225/5/101 224/5/101 198/5/101 226/5/101 \nf 227/5/101 226/5/101 198/5/101 228/5/101 \nf 229/5/101 228/5/101 198/5/101 230/5/101 \nf 231/5/101 230/5/101 198/5/101 232/5/101 \nf 233/5/101 232/5/101 198/5/101 234/5/101 \nf 235/5/101 234/5/101 198/5/101 236/5/101 \nf 236/5/101 198/5/101 200/5/101 237/5/101 \nf 238/5/101 237/5/101 200/5/101 239/5/101 \nf 240/5/101 239/5/101 200/5/101 241/5/101 \nf 242/5/101 241/5/101 200/5/101 201/5/101 \nf 242/5/101 201/5/101 243/5/101 244/5/101 \nf 244/5/101 243/5/101 245/5/101 246/5/101 \nf 246/5/101 245/5/101 247/5/101 248/5/101 \nf 248/5/101 247/5/101 249/5/101 250/5/101 \nf 250/5/101 249/5/101 251/5/101 252/5/101 \nf 252/5/101 251/5/101 253/5/101 254/5/101 \nf 254/5/101 253/5/101 255/5/101 256/5/101 \nf 256/5/101 255/5/101 257/5/101 258/5/101 \nf 258/5/101 257/5/101 259/5/101 260/5/101 \nf 260/5/101 259/5/101 261/5/101 262/5/101 \nf 262/5/101 261/5/101 263/5/101 264/5/101 \nf 264/5/101 263/5/101 213/5/101 230/5/101 \nf 265/5/101 230/5/101 213/5/101 266/5/101 \nf 213/5/101 214/5/101 266/5/101 \nf 230/5/101 265/5/101 267/5/101 268/5/101 \nf 230/5/101 268/5/101 269/5/101 270/5/101 \nf 230/5/101 270/5/101 271/5/101 272/5/101 \nf 230/5/101 272/5/101 273/5/101 274/5/101 \nf 229/5/101 230/5/101 274/5/101 \nf 270/5/101 269/5/101 275/5/101 276/5/101 \nf 276/5/101 275/5/101 277/5/101 278/5/101 \nf 278/5/101 277/5/101 279/5/101 280/5/101 \nf 280/5/101 279/5/101 281/5/101 282/5/101 \nf 282/5/101 281/5/101 283/5/101 284/5/101 \nf 284/5/101 283/5/101 285/5/101 286/5/101 \nf 286/5/101 285/5/101 287/5/101 288/5/101 \nf 288/5/101 287/5/101 289/5/101 290/5/101 \nf 290/5/101 289/5/101 291/5/101 292/5/101 \nf 292/5/101 291/5/101 293/5/101 294/5/101 \nf 294/5/101 293/5/101 295/5/101 296/5/101 \nf 296/5/101 295/5/101 221/5/101 222/5/101 \n# 56 polygons - 2 triangles\n\n#\n# object Component_1_020\n#\n\nv  3314.7778 98.4251 3715.0933\nv  3302.9316 98.4251 3625.1116\nv  3314.7781 98.4251 3535.1299\nv  3349.5095 98.4251 3451.2805\nv  3349.5095 98.4251 3798.9429\nv  3404.7598 98.4251 3379.2773\nv  3404.7595 98.4251 3870.9463\nv  3476.7629 98.4251 3324.0273\nv  3476.7627 98.4251 3926.1963\nv  3560.6125 98.4251 3289.2957\nv  3560.6123 98.4251 3960.9280\nv  3650.5942 98.4251 3277.4492\nv  3650.5940 98.4251 3972.7744\nv  3740.5759 98.4251 3289.2957\nv  3740.5757 98.4251 3960.9282\nv  3824.4255 98.4251 3324.0273\nv  3824.4250 98.4251 3926.1965\nv  3896.4287 98.4251 3379.2773\nv  3896.4285 98.4251 3870.9465\nv  3951.6787 98.4251 3451.2808\nv  3951.6787 98.4251 3798.9434\nv  3986.4104 98.4251 3535.1304\nv  3986.4102 98.4251 3715.0938\nv  3998.2566 98.4251 3625.1121\nv  3998.2566 0.0001 3625.1121\nv  3986.4104 0.0001 3535.1304\nv  3951.6787 0.0001 3451.2808\nv  3896.4287 0.0001 3379.2773\nv  3824.4255 0.0001 3324.0273\nv  3740.5759 0.0001 3289.2957\nv  3650.5942 0.0001 3277.4492\nv  3560.6125 0.0001 3289.2957\nv  3476.7629 0.0001 3324.0273\nv  3404.7598 0.0001 3379.2773\nv  3349.5095 0.0001 3451.2805\nv  3314.7781 0.0001 3535.1299\nv  3302.9316 0.0001 3625.1116\nv  3314.7778 0.0001 3715.0933\nv  3349.5095 0.0001 3798.9429\nv  3404.7595 0.0001 3870.9463\nv  3476.7627 0.0001 3926.1963\nv  3560.6123 0.0001 3960.9280\nv  3650.5940 0.0001 3972.7744\nv  3740.5757 0.0001 3960.9282\nv  3824.4250 0.0001 3926.1965\nv  3896.4285 0.0001 3870.9465\nv  3951.6787 0.0001 3798.9434\nv  3986.4102 0.0001 3715.0938\n# 48 vertices\n\nvn 0.0000 1.0000 -0.0000\nvn 1.0000 0.0000 0.0000\nvn 0.9659 0.0000 -0.2588\nvn 0.8660 0.0000 -0.5000\nvn 0.7071 0.0000 -0.7071\nvn 0.5000 0.0000 -0.8660\nvn 0.2588 0.0000 -0.9659\nvn 0.0000 0.0000 -1.0000\nvn -0.2588 0.0000 -0.9659\nvn -0.5000 0.0000 -0.8660\nvn -0.7071 0.0000 -0.7071\nvn -0.8660 0.0000 -0.5000\nvn -0.9659 0.0000 -0.2588\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 0.0000 0.2588\nvn -0.8660 0.0000 0.5000\nvn -0.7071 0.0000 0.7071\nvn -0.5000 0.0000 0.8660\nvn -0.2588 0.0000 0.9659\nvn -0.0000 0.0000 1.0000\nvn 0.2588 0.0000 0.9659\nvn 0.5000 0.0000 0.8660\nvn 0.7071 0.0000 0.7071\nvn 0.8660 0.0000 0.5000\nvn 0.9659 0.0000 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_020\nusemtl wire_229166215\ns off\nf 300/6/102 299/6/102 298/6/102 297/6/102 \nf 302/6/102 300/6/102 297/6/102 301/6/102 \nf 304/6/102 302/6/102 301/6/102 303/6/102 \nf 306/6/102 304/6/102 303/6/102 305/6/102 \nf 308/6/102 306/6/102 305/6/102 307/6/102 \nf 310/6/102 308/6/102 307/6/102 309/6/102 \nf 312/6/102 310/6/102 309/6/102 311/6/102 \nf 314/6/102 312/6/102 311/6/102 313/6/102 \nf 316/6/102 314/6/102 313/6/102 315/6/102 \nf 318/6/102 316/6/102 315/6/102 317/6/102 \nf 320/6/102 318/6/102 317/6/102 319/6/102 \nf 322/6/104 318/6/104 320/6/103 321/6/103 \nf 323/6/105 316/6/105 318/6/104 322/6/104 \nf 324/6/106 314/6/106 316/6/105 323/6/105 \nf 324/6/106 325/6/107 312/6/107 314/6/106 \nf 325/6/107 326/6/108 310/6/108 312/6/107 \nf 326/6/108 327/6/109 308/6/109 310/6/108 \nf 327/6/109 328/6/110 306/6/110 308/6/109 \nf 328/6/110 329/6/111 304/6/111 306/6/110 \nf 329/6/111 330/6/112 302/6/112 304/6/111 \nf 302/6/112 330/6/112 331/6/113 300/6/113 \nf 300/6/113 331/6/113 332/6/114 299/6/114 \nf 299/6/114 332/6/114 333/6/115 298/6/115 \nf 298/6/115 333/6/115 334/6/116 297/6/116 \nf 297/6/116 334/6/116 335/6/117 301/6/117 \nf 301/6/117 335/6/117 336/6/118 303/6/118 \nf 336/6/118 337/6/119 305/6/119 303/6/118 \nf 337/6/119 338/6/120 307/6/120 305/6/119 \nf 338/6/120 339/6/121 309/6/121 307/6/120 \nf 339/6/121 340/6/122 311/6/122 309/6/121 \nf 340/6/122 341/6/123 313/6/123 311/6/122 \nf 341/6/123 342/6/124 315/6/124 313/6/123 \nf 343/6/125 317/6/125 315/6/124 342/6/124 \nf 344/6/126 319/6/126 317/6/125 343/6/125 \nf 321/6/103 320/6/103 319/6/126 344/6/126 \n# 35 polygons\n\n#\n# object Component_1_019\n#\n\nv  -3979.0830 98.4251 3718.6489\nv  -3990.9292 98.4251 3628.6672\nv  -3979.0828 98.4251 3538.6855\nv  -3944.3513 98.4251 3454.8362\nv  -3944.3513 98.4251 3802.4985\nv  -3889.1011 98.4251 3382.8330\nv  -3889.1013 98.4251 3874.5020\nv  -3817.0979 98.4251 3327.5830\nv  -3817.0981 98.4251 3929.7520\nv  -3733.2483 98.4251 3292.8513\nv  -3733.2485 98.4251 3964.4836\nv  -3643.2666 98.4251 3281.0049\nv  -3643.2668 98.4251 3976.3301\nv  -3553.2849 98.4251 3292.8513\nv  -3553.2852 98.4251 3964.4839\nv  -3469.4353 98.4251 3327.5830\nv  -3469.4358 98.4251 3929.7522\nv  -3397.4321 98.4251 3382.8330\nv  -3397.4324 98.4251 3874.5022\nv  -3342.1821 98.4251 3454.8364\nv  -3342.1821 98.4251 3802.4990\nv  -3307.4504 98.4251 3538.6860\nv  -3307.4507 98.4251 3718.6494\nv  -3295.6042 98.4251 3628.6677\nv  -3295.6042 0.0001 3628.6677\nv  -3307.4504 0.0001 3538.6860\nv  -3342.1821 0.0001 3454.8364\nv  -3397.4321 0.0001 3382.8330\nv  -3469.4353 0.0001 3327.5830\nv  -3553.2849 0.0001 3292.8513\nv  -3643.2666 0.0001 3281.0049\nv  -3733.2483 0.0001 3292.8513\nv  -3817.0979 0.0001 3327.5830\nv  -3889.1011 0.0001 3382.8330\nv  -3944.3513 0.0001 3454.8362\nv  -3979.0828 0.0001 3538.6855\nv  -3990.9292 0.0001 3628.6672\nv  -3979.0830 0.0001 3718.6489\nv  -3944.3513 0.0001 3802.4985\nv  -3889.1013 0.0001 3874.5020\nv  -3817.0981 0.0001 3929.7520\nv  -3733.2485 0.0001 3964.4836\nv  -3643.2668 0.0001 3976.3301\nv  -3553.2852 0.0001 3964.4839\nv  -3469.4358 0.0001 3929.7522\nv  -3397.4324 0.0001 3874.5022\nv  -3342.1821 0.0001 3802.4990\nv  -3307.4507 0.0001 3718.6494\n# 48 vertices\n\nvn 0.0000 1.0000 -0.0000\nvn 1.0000 0.0000 0.0000\nvn 0.9659 0.0000 -0.2588\nvn 0.8660 0.0000 -0.5000\nvn 0.7071 0.0000 -0.7071\nvn 0.5000 0.0000 -0.8660\nvn 0.2588 0.0000 -0.9659\nvn 0.0000 0.0000 -1.0000\nvn -0.2588 0.0000 -0.9659\nvn -0.5000 0.0000 -0.8660\nvn -0.7071 0.0000 -0.7071\nvn -0.8660 0.0000 -0.5000\nvn -0.9659 0.0000 -0.2588\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 0.0000 0.2588\nvn -0.8660 0.0000 0.5000\nvn -0.7071 0.0000 0.7071\nvn -0.5000 0.0000 0.8660\nvn -0.2588 0.0000 0.9659\nvn -0.0000 0.0000 1.0000\nvn 0.2588 0.0000 0.9659\nvn 0.5000 0.0000 0.8660\nvn 0.7071 0.0000 0.7071\nvn 0.8660 0.0000 0.5000\nvn 0.9659 0.0000 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_019\nusemtl wire_177028149\ns off\nf 348/7/127 347/7/127 346/7/127 345/7/127 \nf 350/7/127 348/7/127 345/7/127 349/7/127 \nf 352/7/127 350/7/127 349/7/127 351/7/127 \nf 354/7/127 352/7/127 351/7/127 353/7/127 \nf 356/7/127 354/7/127 353/7/127 355/7/127 \nf 358/7/127 356/7/127 355/7/127 357/7/127 \nf 360/7/127 358/7/127 357/7/127 359/7/127 \nf 362/7/127 360/7/127 359/7/127 361/7/127 \nf 364/7/127 362/7/127 361/7/127 363/7/127 \nf 366/7/127 364/7/127 363/7/127 365/7/127 \nf 368/7/127 366/7/127 365/7/127 367/7/127 \nf 370/7/129 366/7/129 368/7/128 369/7/128 \nf 371/7/130 364/7/130 366/7/129 370/7/129 \nf 372/7/131 362/7/131 364/7/130 371/7/130 \nf 372/7/131 373/7/132 360/7/132 362/7/131 \nf 373/7/132 374/7/133 358/7/133 360/7/132 \nf 374/7/133 375/7/134 356/7/134 358/7/133 \nf 375/7/134 376/7/135 354/7/135 356/7/134 \nf 376/7/135 377/7/136 352/7/136 354/7/135 \nf 377/7/136 378/7/137 350/7/137 352/7/136 \nf 350/7/137 378/7/137 379/7/138 348/7/138 \nf 348/7/138 379/7/138 380/7/139 347/7/139 \nf 347/7/139 380/7/139 381/7/140 346/7/140 \nf 346/7/140 381/7/140 382/7/141 345/7/141 \nf 345/7/141 382/7/141 383/7/142 349/7/142 \nf 349/7/142 383/7/142 384/7/143 351/7/143 \nf 384/7/143 385/7/144 353/7/144 351/7/143 \nf 385/7/144 386/7/145 355/7/145 353/7/144 \nf 386/7/145 387/7/146 357/7/146 355/7/145 \nf 387/7/146 388/7/147 359/7/147 357/7/146 \nf 388/7/147 389/7/148 361/7/148 359/7/147 \nf 389/7/148 390/7/149 363/7/149 361/7/148 \nf 391/7/150 365/7/150 363/7/149 390/7/149 \nf 392/7/151 367/7/151 365/7/150 391/7/150 \nf 369/7/128 368/7/128 367/7/151 392/7/151 \n# 35 polygons\n\n#\n# object Component_1_018\n#\n\nv  -3978.6191 98.4251 -3601.1836\nv  -3990.4653 98.4251 -3691.1653\nv  -3978.6189 98.4251 -3781.1470\nv  -3943.8875 98.4251 -3864.9963\nv  -3943.8875 98.4251 -3517.3340\nv  -3888.6372 98.4251 -3936.9995\nv  -3888.6375 98.4251 -3445.3306\nv  -3816.6340 98.4251 -3992.2495\nv  -3816.6343 98.4251 -3390.0806\nv  -3732.7844 98.4251 -4026.9812\nv  -3732.7847 98.4251 -3355.3489\nv  -3642.8027 98.4251 -4038.8276\nv  -3642.8030 98.4251 -3343.5024\nv  -3552.8210 98.4251 -4026.9812\nv  -3552.8213 98.4251 -3355.3486\nv  -3468.9714 98.4251 -3992.2495\nv  -3468.9719 98.4251 -3390.0803\nv  -3396.9683 98.4251 -3936.9995\nv  -3396.9685 98.4251 -3445.3303\nv  -3341.7183 98.4251 -3864.9961\nv  -3341.7183 98.4251 -3517.3335\nv  -3306.9866 98.4251 -3781.1465\nv  -3306.9868 98.4251 -3601.1831\nv  -3295.1404 98.4251 -3691.1648\nv  -3295.1404 0.0001 -3691.1648\nv  -3306.9866 0.0001 -3781.1465\nv  -3341.7183 0.0001 -3864.9961\nv  -3396.9683 0.0001 -3936.9995\nv  -3468.9714 0.0001 -3992.2495\nv  -3552.8210 0.0001 -4026.9812\nv  -3642.8027 0.0001 -4038.8276\nv  -3732.7844 0.0001 -4026.9812\nv  -3816.6340 0.0001 -3992.2495\nv  -3888.6372 0.0001 -3936.9995\nv  -3943.8875 0.0001 -3864.9963\nv  -3978.6189 0.0001 -3781.1470\nv  -3990.4653 0.0001 -3691.1653\nv  -3978.6191 0.0001 -3601.1836\nv  -3943.8875 0.0001 -3517.3340\nv  -3888.6375 0.0001 -3445.3306\nv  -3816.6343 0.0001 -3390.0806\nv  -3732.7847 0.0001 -3355.3489\nv  -3642.8030 0.0001 -3343.5024\nv  -3552.8213 0.0001 -3355.3486\nv  -3468.9719 0.0001 -3390.0803\nv  -3396.9685 0.0001 -3445.3303\nv  -3341.7183 0.0001 -3517.3335\nv  -3306.9868 0.0001 -3601.1831\n# 48 vertices\n\nvn 0.0000 1.0000 -0.0000\nvn 1.0000 0.0000 0.0000\nvn 0.9659 0.0000 -0.2588\nvn 0.8660 0.0000 -0.5000\nvn 0.7071 0.0000 -0.7071\nvn 0.5000 0.0000 -0.8660\nvn 0.2588 0.0000 -0.9659\nvn 0.0000 0.0000 -1.0000\nvn -0.2588 0.0000 -0.9659\nvn -0.5000 0.0000 -0.8660\nvn -0.7071 0.0000 -0.7071\nvn -0.8660 0.0000 -0.5000\nvn -0.9659 0.0000 -0.2588\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 0.0000 0.2588\nvn -0.8660 0.0000 0.5000\nvn -0.7071 0.0000 0.7071\nvn -0.5000 0.0000 0.8660\nvn -0.2588 0.0000 0.9659\nvn -0.0000 0.0000 1.0000\nvn 0.2588 0.0000 0.9659\nvn 0.5000 0.0000 0.8660\nvn 0.7071 0.0000 0.7071\nvn 0.8660 0.0000 0.5000\nvn 0.9659 0.0000 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_018\nusemtl wire_143224087\ns off\nf 396/8/152 395/8/152 394/8/152 393/8/152 \nf 398/8/152 396/8/152 393/8/152 397/8/152 \nf 400/8/152 398/8/152 397/8/152 399/8/152 \nf 402/8/152 400/8/152 399/8/152 401/8/152 \nf 404/8/152 402/8/152 401/8/152 403/8/152 \nf 406/8/152 404/8/152 403/8/152 405/8/152 \nf 408/8/152 406/8/152 405/8/152 407/8/152 \nf 410/8/152 408/8/152 407/8/152 409/8/152 \nf 412/8/152 410/8/152 409/8/152 411/8/152 \nf 414/8/152 412/8/152 411/8/152 413/8/152 \nf 416/8/152 414/8/152 413/8/152 415/8/152 \nf 418/8/154 414/8/154 416/8/153 417/8/153 \nf 419/8/155 412/8/155 414/8/154 418/8/154 \nf 420/8/156 410/8/156 412/8/155 419/8/155 \nf 420/8/156 421/8/157 408/8/157 410/8/156 \nf 421/8/157 422/8/158 406/8/158 408/8/157 \nf 422/8/158 423/8/159 404/8/159 406/8/158 \nf 423/8/159 424/8/160 402/8/160 404/8/159 \nf 424/8/160 425/8/161 400/8/161 402/8/160 \nf 425/8/161 426/8/162 398/8/162 400/8/161 \nf 398/8/162 426/8/162 427/8/163 396/8/163 \nf 396/8/163 427/8/163 428/8/164 395/8/164 \nf 395/8/164 428/8/164 429/8/165 394/8/165 \nf 394/8/165 429/8/165 430/8/166 393/8/166 \nf 393/8/166 430/8/166 431/8/167 397/8/167 \nf 397/8/167 431/8/167 432/8/168 399/8/168 \nf 432/8/168 433/8/169 401/8/169 399/8/168 \nf 433/8/169 434/8/170 403/8/170 401/8/169 \nf 434/8/170 435/8/171 405/8/171 403/8/170 \nf 435/8/171 436/8/172 407/8/172 405/8/171 \nf 436/8/172 437/8/173 409/8/173 407/8/172 \nf 437/8/173 438/8/174 411/8/174 409/8/173 \nf 439/8/175 413/8/175 411/8/174 438/8/174 \nf 440/8/176 415/8/176 413/8/175 439/8/175 \nf 417/8/153 416/8/153 415/8/176 440/8/176 \n# 35 polygons\n\n#\n# object Component_1_017\n#\n\nv  3317.9341 98.4251 -3590.6992\nv  3306.0879 98.4251 -3680.6809\nv  3317.9343 98.4251 -3770.6626\nv  3352.6658 98.4251 -3854.5120\nv  3352.6658 98.4251 -3506.8496\nv  3407.9160 98.4251 -3926.5151\nv  3407.9158 98.4251 -3434.8462\nv  3479.9192 98.4251 -3981.7651\nv  3479.9189 98.4251 -3379.5962\nv  3563.7688 98.4251 -4016.4968\nv  3563.7686 98.4251 -3344.8645\nv  3653.7505 98.4251 -4028.3433\nv  3653.7502 98.4251 -3333.0181\nv  3743.7322 98.4251 -4016.4968\nv  3743.7319 98.4251 -3344.8643\nv  3827.5818 98.4251 -3981.7651\nv  3827.5813 98.4251 -3379.5959\nv  3899.5850 98.4251 -3926.5151\nv  3899.5847 98.4251 -3434.8459\nv  3954.8350 98.4251 -3854.5117\nv  3954.8350 98.4251 -3506.8491\nv  3989.5667 98.4251 -3770.6621\nv  3989.5664 98.4251 -3590.6987\nv  4001.4128 98.4251 -3680.6804\nv  4001.4128 0.0001 -3680.6804\nv  3989.5667 0.0001 -3770.6621\nv  3954.8350 0.0001 -3854.5117\nv  3899.5850 0.0001 -3926.5151\nv  3827.5818 0.0001 -3981.7651\nv  3743.7322 0.0001 -4016.4968\nv  3653.7505 0.0001 -4028.3433\nv  3563.7688 0.0001 -4016.4968\nv  3479.9192 0.0001 -3981.7651\nv  3407.9160 0.0001 -3926.5151\nv  3352.6658 0.0001 -3854.5120\nv  3317.9343 0.0001 -3770.6626\nv  3306.0879 0.0001 -3680.6809\nv  3317.9341 0.0001 -3590.6992\nv  3352.6658 0.0001 -3506.8496\nv  3407.9158 0.0001 -3434.8462\nv  3479.9189 0.0001 -3379.5962\nv  3563.7686 0.0001 -3344.8645\nv  3653.7502 0.0001 -3333.0181\nv  3743.7319 0.0001 -3344.8643\nv  3827.5813 0.0001 -3379.5959\nv  3899.5847 0.0001 -3434.8459\nv  3954.8350 0.0001 -3506.8491\nv  3989.5664 0.0001 -3590.6987\n# 48 vertices\n\nvn 0.0000 1.0000 -0.0000\nvn 1.0000 0.0000 0.0000\nvn 0.9659 0.0000 -0.2588\nvn 0.8660 0.0000 -0.5000\nvn 0.7071 0.0000 -0.7071\nvn 0.5000 0.0000 -0.8660\nvn 0.2588 0.0000 -0.9659\nvn 0.0000 0.0000 -1.0000\nvn -0.2588 0.0000 -0.9659\nvn -0.5000 0.0000 -0.8660\nvn -0.7071 0.0000 -0.7071\nvn -0.8660 0.0000 -0.5000\nvn -0.9659 0.0000 -0.2588\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 0.0000 0.2588\nvn -0.8660 0.0000 0.5000\nvn -0.7071 0.0000 0.7071\nvn -0.5000 0.0000 0.8660\nvn -0.2588 0.0000 0.9659\nvn -0.0000 0.0000 1.0000\nvn 0.2588 0.0000 0.9659\nvn 0.5000 0.0000 0.8660\nvn 0.7071 0.0000 0.7071\nvn 0.8660 0.0000 0.5000\nvn 0.9659 0.0000 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_017\nusemtl wire_087224198\ns off\nf 444/9/177 443/9/177 442/9/177 441/9/177 \nf 446/9/177 444/9/177 441/9/177 445/9/177 \nf 448/9/177 446/9/177 445/9/177 447/9/177 \nf 450/9/177 448/9/177 447/9/177 449/9/177 \nf 452/9/177 450/9/177 449/9/177 451/9/177 \nf 454/9/177 452/9/177 451/9/177 453/9/177 \nf 456/9/177 454/9/177 453/9/177 455/9/177 \nf 458/9/177 456/9/177 455/9/177 457/9/177 \nf 460/9/177 458/9/177 457/9/177 459/9/177 \nf 462/9/177 460/9/177 459/9/177 461/9/177 \nf 464/9/177 462/9/177 461/9/177 463/9/177 \nf 466/9/179 462/9/179 464/9/178 465/9/178 \nf 467/9/180 460/9/180 462/9/179 466/9/179 \nf 468/9/181 458/9/181 460/9/180 467/9/180 \nf 468/9/181 469/9/182 456/9/182 458/9/181 \nf 469/9/182 470/9/183 454/9/183 456/9/182 \nf 470/9/183 471/9/184 452/9/184 454/9/183 \nf 471/9/184 472/9/185 450/9/185 452/9/184 \nf 472/9/185 473/9/186 448/9/186 450/9/185 \nf 473/9/186 474/9/187 446/9/187 448/9/186 \nf 446/9/187 474/9/187 475/9/188 444/9/188 \nf 444/9/188 475/9/188 476/9/189 443/9/189 \nf 443/9/189 476/9/189 477/9/190 442/9/190 \nf 442/9/190 477/9/190 478/9/191 441/9/191 \nf 441/9/191 478/9/191 479/9/192 445/9/192 \nf 445/9/192 479/9/192 480/9/193 447/9/193 \nf 480/9/193 481/9/194 449/9/194 447/9/193 \nf 481/9/194 482/9/195 451/9/195 449/9/194 \nf 482/9/195 483/9/196 453/9/196 451/9/195 \nf 483/9/196 484/9/197 455/9/197 453/9/196 \nf 484/9/197 485/9/198 457/9/198 455/9/197 \nf 485/9/198 486/9/199 459/9/199 457/9/198 \nf 487/9/200 461/9/200 459/9/199 486/9/199 \nf 488/9/201 463/9/201 461/9/200 487/9/200 \nf 465/9/178 464/9/178 463/9/201 488/9/201 \n# 35 polygons\n\n#\n# object Component_2_005\n#\n\nv  -4217.2627 0.0001 4217.2598\nv  -4253.7031 0.0001 -4253.7070\nv  -4253.7080 0.0001 4253.7051\nv  4253.7041 0.0001 4253.7100\nv  4217.2598 0.0001 4217.2646\nv  4217.2646 0.0001 -4217.2578\nv  4253.7090 0.0001 -4253.7021\nv  -4217.2583 0.0001 -4217.2627\nv  -3990.9309 0.0001 3628.6663\nv  -3979.0845 0.0001 3718.6479\nv  -3944.3530 0.0001 3802.4976\nv  -3889.1030 0.0001 3874.5007\nv  -3817.0999 0.0001 3929.7507\nv  -3733.2502 0.0001 3964.4824\nv  -3643.2686 0.0001 3976.3289\nv  -3553.2869 0.0001 3964.4827\nv  -3469.4373 0.0001 3929.7510\nv  -3397.4341 0.0001 3874.5010\nv  -3342.1841 0.0001 3802.4978\nv  -3307.4521 0.0001 3718.6482\nv  -3295.6060 0.0001 3628.6665\nv  3560.6104 0.0001 3960.9312\nv  3650.5918 0.0001 3972.7776\nv  3740.5737 0.0001 3960.9312\nv  3824.4229 0.0001 3926.1997\nv  3896.4263 0.0001 3870.9497\nv  3951.6768 0.0001 3798.9463\nv  3986.4082 0.0001 3715.0969\nv  3998.2539 0.0001 3625.1152\nv  4001.4150 0.0001 -3680.6768\nv  3989.5684 0.0001 -3770.6582\nv  3954.8379 0.0001 -3854.5088\nv  3899.5869 0.0001 -3926.5122\nv  3827.5840 0.0001 -3981.7607\nv  3743.7344 0.0001 -4016.4932\nv  3653.7529 0.0001 -4028.3398\nv  3563.7705 0.0001 -4016.4932\nv  -3295.1387 0.0001 -3691.1660\nv  -3306.9849 0.0001 -3781.1475\nv  -3341.7163 0.0001 -3864.9971\nv  -3396.9663 0.0001 -3937.0005\nv  -3468.9697 0.0001 -3992.2510\nv  -3552.8191 0.0001 -4026.9824\nv  -3642.8008 0.0001 -4038.8291\nv  -3732.7825 0.0001 -4026.9824\nv  -3816.6321 0.0001 -3992.2510\nv  -3888.6355 0.0001 -3937.0010\nv  -3943.8855 0.0001 -3864.9976\nv  -3978.6172 0.0001 -3781.1479\nv  -3990.4634 0.0001 -3691.1665\nv  -3979.0845 0.0001 3538.6846\nv  -3978.6172 0.0001 -3601.1846\nv  -3944.3528 0.0001 3454.8350\nv  -3943.8857 0.0001 -3517.3350\nv  -3889.1028 0.0001 3382.8315\nv  -3888.6357 0.0001 -3445.3320\nv  -3817.0994 0.0001 3327.5818\nv  -3816.6326 0.0001 -3390.0811\nv  -3733.2498 0.0001 3292.8501\nv  -3732.7830 0.0001 -3355.3501\nv  -3643.2681 0.0001 3281.0039\nv  -3642.8013 0.0001 -3343.5034\nv  -3553.2866 0.0001 3292.8503\nv  -3552.8196 0.0001 -3355.3501\nv  -3469.4370 0.0001 3327.5820\nv  -3468.9700 0.0001 -3390.0811\nv  -3397.4336 0.0001 3382.8320\nv  -3396.9666 0.0001 -3445.3315\nv  -3342.1838 0.0001 3454.8354\nv  -3341.7166 0.0001 -3517.3345\nv  -3307.4521 0.0001 3538.6848\nv  -3306.9849 0.0001 -3601.1841\nv  3404.7568 0.0001 3870.9495\nv  3476.7603 0.0001 3926.1995\nv  3349.5073 0.0001 3798.9460\nv  3314.7764 0.0001 3715.0964\nv  3302.9297 0.0001 3625.1147\nv  3306.0898 0.0001 -3680.6772\nv  3317.9355 0.0001 -3770.6587\nv  3352.6675 0.0001 -3854.5088\nv  3407.9180 0.0001 -3926.5122\nv  3479.9214 0.0001 -3981.7617\nv  3314.7764 0.0001 3535.1331\nv  3317.9355 0.0001 -3590.6953\nv  3349.5073 0.0001 3451.2834\nv  3352.6675 0.0001 -3506.8462\nv  3404.7573 0.0001 3379.2803\nv  3407.9180 0.0001 -3434.8428\nv  3476.7607 0.0001 3324.0303\nv  3479.9209 0.0001 -3379.5928\nv  3560.6108 0.0001 3289.2988\nv  3563.7700 0.0001 -3344.8608\nv  3650.5923 0.0001 3277.4524\nv  3653.7524 0.0001 -3333.0151\nv  3740.5742 0.0001 3289.2988\nv  3743.7339 0.0001 -3344.8608\nv  3824.4233 0.0001 3324.0305\nv  3827.5835 0.0001 -3379.5928\nv  3896.4268 0.0001 3379.2805\nv  3899.5869 0.0001 -3434.8428\nv  3951.6768 0.0001 3451.2839\nv  3954.8369 0.0001 -3506.8462\nv  3986.4082 0.0001 3535.1335\nv  3989.5684 0.0001 -3590.6948\n# 104 vertices\n\nvn 0.0000 -1.0000 -0.0000\n# 1 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_2_005\nusemtl wire_229166215\ns off\nf 492/10/202 491/10/202 490/10/202 489/10/202 \nf 494/10/202 492/10/202 489/10/202 493/10/202 \nf 496/10/202 495/10/202 492/10/202 494/10/202 \nf 489/10/202 490/10/202 495/10/202 496/10/202 \nf 498/10/202 489/10/202 496/10/202 497/10/202 \nf 500/10/202 489/10/202 498/10/202 499/10/202 \nf 502/10/202 489/10/202 500/10/202 501/10/202 \nf 493/10/202 489/10/202 502/10/202 503/10/202 \nf 505/10/202 493/10/202 503/10/202 504/10/202 \nf 507/10/202 493/10/202 505/10/202 506/10/202 \nf 509/10/202 493/10/202 507/10/202 508/10/202 \nf 511/10/202 493/10/202 509/10/202 510/10/202 \nf 513/10/202 493/10/202 511/10/202 512/10/202 \nf 515/10/202 493/10/202 513/10/202 514/10/202 \nf 517/10/202 493/10/202 515/10/202 516/10/202 \nf 494/10/202 493/10/202 517/10/202 518/10/202 \nf 520/10/202 494/10/202 518/10/202 519/10/202 \nf 522/10/202 494/10/202 520/10/202 521/10/202 \nf 524/10/202 494/10/202 522/10/202 523/10/202 \nf 526/10/202 494/10/202 524/10/202 525/10/202 \nf 528/10/202 494/10/202 526/10/202 527/10/202 \nf 530/10/202 494/10/202 528/10/202 529/10/202 \nf 532/10/202 494/10/202 530/10/202 531/10/202 \nf 533/10/202 496/10/202 494/10/202 532/10/202 \nf 535/10/202 496/10/202 533/10/202 534/10/202 \nf 537/10/202 496/10/202 535/10/202 536/10/202 \nf 497/10/202 496/10/202 537/10/202 538/10/202 \nf 540/10/202 539/10/202 497/10/202 538/10/202 \nf 542/10/202 541/10/202 539/10/202 540/10/202 \nf 544/10/202 543/10/202 541/10/202 542/10/202 \nf 546/10/202 545/10/202 543/10/202 544/10/202 \nf 548/10/202 547/10/202 545/10/202 546/10/202 \nf 550/10/202 549/10/202 547/10/202 548/10/202 \nf 552/10/202 551/10/202 549/10/202 550/10/202 \nf 554/10/202 553/10/202 551/10/202 552/10/202 \nf 556/10/202 555/10/202 553/10/202 554/10/202 \nf 558/10/202 557/10/202 555/10/202 556/10/202 \nf 560/10/202 559/10/202 557/10/202 558/10/202 \nf 526/10/202 509/10/202 559/10/202 560/10/202 \nf 562/10/202 509/10/202 526/10/202 561/10/202 \nf 562/10/202 510/10/202 509/10/202 \nf 564/10/202 563/10/202 561/10/202 526/10/202 \nf 566/10/202 565/10/202 564/10/202 526/10/202 \nf 568/10/202 567/10/202 566/10/202 526/10/202 \nf 570/10/202 569/10/202 568/10/202 526/10/202 \nf 570/10/202 526/10/202 525/10/202 \nf 572/10/202 571/10/202 565/10/202 566/10/202 \nf 574/10/202 573/10/202 571/10/202 572/10/202 \nf 576/10/202 575/10/202 573/10/202 574/10/202 \nf 578/10/202 577/10/202 575/10/202 576/10/202 \nf 580/10/202 579/10/202 577/10/202 578/10/202 \nf 582/10/202 581/10/202 579/10/202 580/10/202 \nf 584/10/202 583/10/202 581/10/202 582/10/202 \nf 586/10/202 585/10/202 583/10/202 584/10/202 \nf 588/10/202 587/10/202 585/10/202 586/10/202 \nf 590/10/202 589/10/202 587/10/202 588/10/202 \nf 592/10/202 591/10/202 589/10/202 590/10/202 \nf 518/10/202 517/10/202 591/10/202 592/10/202 \n# 56 polygons - 2 triangles\n\n#\n# object Component_3_005\n#\n\nv  4253.7061 2788.8232 816.5703\nv  4500.5625 2788.8232 816.5703\nv  4500.5625 4290.9316 816.5703\nv  4253.7061 4290.9316 816.5703\nv  4253.7061 6357.7329 944.8204\nv  4253.7061 6357.7329 -1001.4543\nv  4500.5625 6357.7329 -1001.4543\nv  4500.5625 6357.7329 944.8204\nv  4253.7061 5118.5054 2808.8828\nv  4253.7061 5118.5054 1063.8829\nv  4500.5625 5118.5054 1063.8829\nv  4500.5625 5118.5054 2808.8828\nv  4253.7061 6245.7520 1063.8829\nv  4500.5625 6245.7520 1063.8829\nv  4500.5625 5039.1304 68.3721\nv  4253.7061 5039.1304 68.3721\nv  4253.7061 5169.9395 -1153.7896\nv  4500.5625 5169.9395 -1153.7896\nv  4500.5625 6192.2896 -1153.7896\nv  4253.7061 6192.2896 -1153.7896\nv  4253.7061 5039.1304 -1001.4543\nv  4500.5625 5039.1304 -1001.4543\nv  4500.5620 1205.3179 -912.2170\nv  4253.7061 1205.3179 -912.2170\nv  4253.7061 2311.2930 -912.2170\nv  4500.5620 2311.2930 -912.2170\nv  4500.5625 6719.4644 2808.8828\nv  4253.7061 6719.4644 2808.8828\nv  4500.5620 4673.4961 -2874.3672\nv  4253.7061 4673.4961 -2874.3672\nv  4253.7061 6733.3271 -2874.3672\nv  4500.5625 6733.3271 -2874.3672\nv  4500.5625 7512.4551 -2095.2393\nv  4253.7061 7512.4551 -2095.2393\nv  4253.7061 7512.4551 2015.8918\nv  4500.5625 7512.4551 2015.8918\nv  4253.7061 1205.3179 816.5703\nv  4500.5620 1205.3179 816.5703\nv  4500.5625 3771.5134 -912.2170\nv  4253.7061 3771.5134 -912.2170\nv  4253.7061 3933.4382 -1037.6296\nv  4500.5625 3933.4382 -1037.6296\nv  4253.7061 2788.8232 -912.2170\nv  4500.5620 2788.8232 -912.2170\nv  4500.5625 2311.2930 816.5703\nv  4253.7061 2311.2930 816.5703\nv  4253.7061 3933.4382 -2134.3086\nv  4500.5620 3933.4382 -2134.3086\nv  4747.4189 7393.2368 1966.5100\nv  4747.4185 7393.2368 -2045.8574\nv  4747.4185 6683.9453 -2755.1489\nv  4747.4185 5237.7236 1183.1013\nv  4747.4189 5237.7236 2689.6646\nv  4747.4189 6297.2871 1183.1013\nv  4747.4185 1324.1367 -793.3984\nv  4747.4185 2192.4741 -793.3984\nv  4747.4185 2192.4741 697.7515\nv  4747.4185 5115.1719 -1273.0076\nv  4747.4185 6238.8164 -1273.0076\nv  4747.4189 6476.9512 992.0759\nv  4747.4185 6476.9512 -1053.7407\nv  4747.4185 1324.1367 697.7515\nv  4747.4185 4919.9121 -1045.6167\nv  4747.4185 4919.9121 18.9902\nv  4747.4185 2908.0415 697.3523\nv  4747.4185 4241.5503 697.3523\nv  4747.4185 2908.0415 -792.9988\nv  4747.4185 3812.2822 -792.9988\nv  4747.4185 4722.8784 -2755.1489\nv  4747.4185 4052.6565 -2084.9268\nv  4747.4189 6670.0825 2689.6646\nv  4747.4185 4052.6565 -979.1711\n# 72 vertices\n\nvn 0.0000 0.0000 1.0000\nvn -0.0000 -1.0000 0.0000\nvn -0.0000 0.0000 -1.0000\nvn -0.0000 -0.7284 -0.6851\nvn 0.0000 0.7071 0.7071\nvn 0.0000 0.7587 0.6515\nvn 0.0000 1.0000 -0.0000\nvn -0.0000 0.7071 -0.7071\nvn 0.0000 -0.6774 0.7356\nvn -0.0000 -0.6123 -0.7906\nvn -0.0000 -0.7071 -0.7071\nvn 0.4349 0.9005 -0.0000\nvn 0.4349 0.6367 -0.6367\nvn 0.4349 -0.9005 -0.0000\nvn 0.4349 -0.0000 -0.9005\nvn 0.4337 -0.0000 -0.9011\nvn 0.4337 0.9011 -0.0000\nvn 0.4349 -0.0000 0.9005\nvn 0.4349 -0.6559 -0.6169\nvn 0.4349 -0.6100 0.6624\nvn 0.4337 -0.9011 -0.0000\nvn 0.4349 0.6832 0.5866\nvn 0.4349 0.6367 0.6367\nvn 0.4349 -0.6367 -0.6367\nvn 0.4337 -0.0000 0.9011\nvn 0.4349 -0.5514 -0.7119\nvn 1.0000 -0.0000 -0.0000\n# 27 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_3_005\nusemtl wire_143224087\ns off\nf 593/11/203 594/11/203 595/11/203 596/11/203 \nf 597/11/204 598/11/204 599/11/204 600/11/204 \nf 601/11/204 602/11/204 603/11/204 604/11/204 \nf 603/11/205 602/11/205 605/11/205 606/11/205 \nf 605/11/206 597/11/206 600/11/206 606/11/206 \nf 596/11/207 595/11/207 607/11/207 608/11/207 \nf 609/11/203 610/11/203 611/11/203 612/11/203 \nf 610/11/208 609/11/208 613/11/208 614/11/208 \nf 615/11/205 616/11/205 617/11/205 618/11/205 \nf 601/11/203 604/11/203 619/11/203 620/11/203 \nf 621/11/205 622/11/205 623/11/205 624/11/205 \nf 625/11/209 626/11/209 627/11/209 628/11/209 \nf 629/11/204 616/11/204 615/11/204 630/11/204 \nf 624/11/210 623/11/210 626/11/210 625/11/210 \nf 620/11/207 619/11/207 628/11/207 627/11/207 \nf 612/11/211 611/11/211 599/11/211 598/11/211 \nf 631/11/212 632/11/212 633/11/212 634/11/212 \nf 613/11/209 608/11/209 607/11/209 614/11/209 \nf 593/11/204 635/11/204 636/11/204 594/11/204 \nf 636/11/205 635/11/205 632/11/205 631/11/205 \nf 629/11/203 630/11/203 637/11/203 638/11/203 \nf 633/11/204 639/11/204 640/11/204 634/11/204 \nf 640/11/213 639/11/213 622/11/213 621/11/213 \nf 617/11/209 638/11/209 637/11/209 618/11/209 \nf 625/11/214 628/11/214 641/11/214 642/11/214 \nf 642/11/215 643/11/215 624/11/215 625/11/215 \nf 604/11/216 603/11/216 644/11/216 645/11/216 \nf 644/11/217 603/11/217 606/11/217 646/11/217 \nf 647/11/218 615/11/218 618/11/218 648/11/218 \nf 618/11/219 637/11/219 649/11/219 648/11/219 \nf 610/11/220 650/11/220 651/11/220 611/11/220 \nf 606/11/221 600/11/221 652/11/221 646/11/221 \nf 600/11/216 599/11/216 653/11/216 652/11/216 \nf 599/11/222 611/11/222 651/11/222 653/11/222 \nf 630/11/223 615/11/223 647/11/223 654/11/223 \nf 610/11/224 614/11/224 655/11/224 650/11/224 \nf 614/11/214 607/11/214 656/11/214 655/11/214 \nf 595/11/220 594/11/220 657/11/220 658/11/220 \nf 595/11/225 658/11/225 656/11/225 607/11/225 \nf 659/11/217 636/11/217 631/11/217 660/11/217 \nf 661/11/217 621/11/217 624/11/217 643/11/217 \nf 662/11/226 640/11/226 621/11/226 661/11/226 \nf 637/11/227 630/11/227 654/11/227 649/11/227 \nf 594/11/216 636/11/216 659/11/216 657/11/216 \nf 619/11/220 604/11/220 645/11/220 663/11/220 \nf 619/11/225 663/11/225 641/11/225 628/11/225 \nf 634/11/216 640/11/216 662/11/216 664/11/216 \nf 660/11/228 631/11/228 634/11/228 664/11/228 \nf 658/11/229 657/11/229 659/11/229 656/11/229 \nf 656/11/229 659/11/229 660/11/229 655/11/229 \nf 655/11/229 660/11/229 664/11/229 662/11/229 \nf 650/11/229 655/11/229 662/11/229 651/11/229 \nf 642/11/229 651/11/229 662/11/229 643/11/229 \nf 643/11/229 662/11/229 661/11/229 \nf 653/11/229 651/11/229 642/11/229 652/11/229 \nf 652/11/229 642/11/229 641/11/229 646/11/229 \nf 644/11/229 646/11/229 641/11/229 663/11/229 \nf 644/11/229 663/11/229 645/11/229 \nf 649/11/229 654/11/229 647/11/229 648/11/229 \n# 57 polygons - 2 triangles\n\n#\n# object Component_3_004\n#\n\nv  -744.8184 2939.7925 4253.7065\nv  -744.8184 2939.7925 4500.5625\nv  -744.8184 4441.9014 4500.5630\nv  -744.8184 4441.9014 4253.7065\nv  -873.0685 6508.7021 4253.7070\nv  1073.2063 6508.7021 4253.7070\nv  1073.2063 6508.7021 4500.5630\nv  -873.0685 6508.7021 4500.5630\nv  -2737.1309 5269.4746 4253.7065\nv  -992.1310 5269.4746 4253.7065\nv  -992.1310 5269.4746 4500.5630\nv  -2737.1309 5269.4746 4500.5630\nv  -992.1310 6396.7212 4253.7070\nv  -992.1310 6396.7212 4500.5630\nv  3.3799 5190.0996 4500.5630\nv  3.3799 5190.0996 4253.7065\nv  1225.5415 5320.9092 4253.7065\nv  1225.5415 5320.9092 4500.5630\nv  1225.5415 6343.2588 4500.5630\nv  1225.5415 6343.2588 4253.7070\nv  1073.2063 5190.0996 4253.7065\nv  1073.2063 5190.0996 4500.5630\nv  983.9690 1356.2871 4500.5625\nv  983.9690 1356.2871 4253.7061\nv  983.9690 2462.2622 4253.7061\nv  983.9690 2462.2622 4500.5625\nv  -2737.1309 6870.4336 4500.5630\nv  -2737.1309 6870.4336 4253.7070\nv  2946.1191 4824.4658 4500.5630\nv  2946.1191 4824.4658 4253.7065\nv  2946.1191 6884.2964 4253.7070\nv  2946.1191 6884.2964 4500.5630\nv  2166.9912 7663.4243 4500.5635\nv  2166.9912 7663.4243 4253.7070\nv  -1944.1399 7663.4243 4253.7070\nv  -1944.1399 7663.4243 4500.5635\nv  -744.8184 1356.2871 4253.7061\nv  -744.8184 1356.2871 4500.5625\nv  983.9690 3922.4827 4500.5625\nv  983.9690 3922.4827 4253.7065\nv  1109.3816 4084.4075 4253.7065\nv  1109.3816 4084.4075 4500.5625\nv  983.9690 2939.7925 4253.7065\nv  983.9690 2939.7925 4500.5625\nv  -744.8184 2462.2622 4500.5625\nv  -744.8184 2462.2622 4253.7061\nv  2206.0605 4084.4075 4253.7065\nv  2206.0605 4084.4075 4500.5625\nv  -1894.7581 7544.2061 4747.4194\nv  2117.6094 7544.2061 4747.4194\nv  2826.9009 6834.9146 4747.4194\nv  -1111.3494 5388.6929 4747.4194\nv  -2617.9126 5388.6929 4747.4194\nv  -1111.3494 6448.2563 4747.4194\nv  865.1504 1475.1058 4747.4185\nv  865.1504 2343.4434 4747.4189\nv  -625.9995 2343.4434 4747.4189\nv  1344.7595 5266.1411 4747.4189\nv  1344.7595 6389.7856 4747.4194\nv  -920.3240 6627.9204 4747.4194\nv  1125.4927 6627.9204 4747.4194\nv  -625.9995 1475.1058 4747.4185\nv  1117.3687 5070.8813 4747.4189\nv  52.7617 5070.8813 4747.4189\nv  -625.6003 3059.0105 4747.4189\nv  -625.6003 4392.5195 4747.4189\nv  864.7507 3059.0105 4747.4189\nv  864.7507 3963.2515 4747.4189\nv  2826.9009 4873.8477 4747.4189\nv  2156.6787 4203.6260 4747.4189\nv  -2617.9126 6821.0518 4747.4194\nv  1050.9231 4203.6260 4747.4189\n# 72 vertices\n\nvn -1.0000 0.0000 -0.0000\nvn 0.0000 -1.0000 -0.0000\nvn 1.0000 0.0000 -0.0000\nvn 0.6851 -0.7284 -0.0000\nvn -0.7071 0.7071 0.0000\nvn -0.6515 0.7587 0.0000\nvn 0.0000 1.0000 0.0000\nvn 0.7071 0.7071 0.0000\nvn -0.7356 -0.6774 -0.0000\nvn 0.7906 -0.6123 -0.0000\nvn 0.7071 -0.7071 -0.0000\nvn 0.0000 0.9005 0.4349\nvn 0.6367 0.6367 0.4349\nvn -0.0000 -0.9005 0.4349\nvn 0.9005 -0.0000 0.4349\nvn 0.9011 -0.0000 0.4337\nvn -0.0000 0.9011 0.4337\nvn -0.9005 -0.0000 0.4349\nvn 0.6169 -0.6559 0.4349\nvn -0.6624 -0.6100 0.4349\nvn -0.0000 -0.9011 0.4337\nvn -0.5866 0.6832 0.4349\nvn -0.6367 0.6367 0.4349\nvn 0.6367 -0.6367 0.4349\nvn -0.9011 -0.0000 0.4337\nvn 0.7119 -0.5514 0.4349\nvn 0.0000 -0.0000 1.0000\n# 27 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_3_004\nusemtl wire_143224087\ns off\nf 665/12/230 666/12/230 667/12/230 668/12/230 \nf 669/12/231 670/12/231 671/12/231 672/12/231 \nf 673/12/231 674/12/231 675/12/231 676/12/231 \nf 675/12/232 674/12/232 677/12/232 678/12/232 \nf 677/12/233 669/12/233 672/12/233 678/12/233 \nf 668/12/234 667/12/234 679/12/234 680/12/234 \nf 681/12/230 682/12/230 683/12/230 684/12/230 \nf 682/12/235 681/12/235 685/12/235 686/12/235 \nf 687/12/232 688/12/232 689/12/232 690/12/232 \nf 673/12/230 676/12/230 691/12/230 692/12/230 \nf 693/12/232 694/12/232 695/12/232 696/12/232 \nf 697/12/236 698/12/236 699/12/236 700/12/236 \nf 701/12/231 688/12/231 687/12/231 702/12/231 \nf 696/12/237 695/12/237 698/12/237 697/12/237 \nf 692/12/234 691/12/234 700/12/234 699/12/234 \nf 684/12/238 683/12/238 671/12/238 670/12/238 \nf 703/12/239 704/12/239 705/12/239 706/12/239 \nf 685/12/236 680/12/236 679/12/236 686/12/236 \nf 665/12/231 707/12/231 708/12/231 666/12/231 \nf 708/12/232 707/12/232 704/12/232 703/12/232 \nf 701/12/230 702/12/230 709/12/230 710/12/230 \nf 705/12/231 711/12/231 712/12/231 706/12/231 \nf 712/12/240 711/12/240 694/12/240 693/12/240 \nf 689/12/236 710/12/236 709/12/236 690/12/236 \nf 697/12/241 700/12/241 713/12/241 714/12/241 \nf 714/12/242 715/12/242 696/12/242 697/12/242 \nf 676/12/243 675/12/243 716/12/243 717/12/243 \nf 716/12/244 675/12/244 678/12/244 718/12/244 \nf 719/12/245 687/12/245 690/12/245 720/12/245 \nf 690/12/246 709/12/246 721/12/246 720/12/246 \nf 682/12/247 722/12/247 723/12/247 683/12/247 \nf 678/12/248 672/12/248 724/12/248 718/12/248 \nf 672/12/243 671/12/243 725/12/243 724/12/243 \nf 671/12/249 683/12/249 723/12/249 725/12/249 \nf 702/12/250 687/12/250 719/12/250 726/12/250 \nf 682/12/251 686/12/251 727/12/251 722/12/251 \nf 686/12/241 679/12/241 728/12/241 727/12/241 \nf 667/12/247 666/12/247 729/12/247 730/12/247 \nf 667/12/252 730/12/252 728/12/252 679/12/252 \nf 731/12/244 708/12/244 703/12/244 732/12/244 \nf 733/12/244 693/12/244 696/12/244 715/12/244 \nf 734/12/253 712/12/253 693/12/253 733/12/253 \nf 709/12/254 702/12/254 726/12/254 721/12/254 \nf 666/12/243 708/12/243 731/12/243 729/12/243 \nf 691/12/247 676/12/247 717/12/247 735/12/247 \nf 691/12/252 735/12/252 713/12/252 700/12/252 \nf 706/12/243 712/12/243 734/12/243 736/12/243 \nf 732/12/255 703/12/255 706/12/255 736/12/255 \nf 730/12/256 729/12/256 731/12/256 728/12/256 \nf 728/12/256 731/12/256 732/12/256 727/12/256 \nf 727/12/256 732/12/256 736/12/256 734/12/256 \nf 722/12/256 727/12/256 734/12/256 723/12/256 \nf 714/12/256 723/12/256 734/12/256 715/12/256 \nf 715/12/256 734/12/256 733/12/256 \nf 725/12/256 723/12/256 714/12/256 724/12/256 \nf 724/12/256 714/12/256 713/12/256 718/12/256 \nf 716/12/256 718/12/256 713/12/256 735/12/256 \nf 716/12/256 735/12/256 717/12/256 \nf 721/12/256 726/12/256 719/12/256 720/12/256 \n# 57 polygons - 2 triangles\n\n#\n# object Component_3_003\n#\n\nv  -4253.7061 2765.6519 -839.6201\nv  -4500.5625 2765.6519 -839.6201\nv  -4500.5625 4267.7607 -839.6201\nv  -4253.7065 4267.7607 -839.6201\nv  -4253.7065 6334.5615 -967.8702\nv  -4253.7070 6334.5615 978.4045\nv  -4500.5635 6334.5615 978.4045\nv  -4500.5630 6334.5615 -967.8702\nv  -4253.7061 5095.3340 -2831.9326\nv  -4253.7065 5095.3340 -1086.9327\nv  -4500.5625 5095.3340 -1086.9327\nv  -4500.5625 5095.3340 -2831.9326\nv  -4253.7065 6222.5806 -1086.9327\nv  -4500.5630 6222.5806 -1086.9327\nv  -4500.5630 5015.9590 -91.4219\nv  -4253.7065 5015.9590 -91.4219\nv  -4253.7070 5146.7686 1130.7397\nv  -4500.5630 5146.7686 1130.7397\nv  -4500.5635 6169.1182 1130.7397\nv  -4253.7070 6169.1182 1130.7397\nv  -4253.7070 5015.9590 978.4045\nv  -4500.5630 5015.9590 978.4045\nv  -4500.5625 1182.1465 889.1672\nv  -4253.7061 1182.1465 889.1672\nv  -4253.7065 2288.1216 889.1672\nv  -4500.5625 2288.1216 889.1672\nv  -4500.5625 6696.2930 -2831.9326\nv  -4253.7065 6696.2930 -2831.9326\nv  -4500.5635 4650.3252 2851.3174\nv  -4253.7070 4650.3252 2851.3174\nv  -4253.7075 6710.1558 2851.3174\nv  -4500.5635 6710.1558 2851.3174\nv  -4500.5635 7489.2837 2072.1895\nv  -4253.7075 7489.2837 2072.1895\nv  -4253.7065 7489.2837 -2038.9417\nv  -4500.5630 7489.2837 -2038.9417\nv  -4253.7061 1182.1465 -839.6201\nv  -4500.5620 1182.1465 -839.6201\nv  -4500.5630 3748.3420 889.1672\nv  -4253.7065 3748.3420 889.1672\nv  -4253.7065 3910.2668 1014.5798\nv  -4500.5630 3910.2668 1014.5798\nv  -4253.7065 2765.6519 889.1672\nv  -4500.5625 2765.6519 889.1672\nv  -4500.5625 2288.1216 -839.6201\nv  -4253.7061 2288.1216 -839.6201\nv  -4253.7070 3910.2668 2111.2588\nv  -4500.5630 3910.2668 2111.2588\nv  -4747.4194 7370.0654 -1989.5598\nv  -4747.4199 7370.0654 2022.8076\nv  -4747.4199 6660.7739 2732.0991\nv  -4747.4189 5214.5522 -1206.1512\nv  -4747.4189 5214.5522 -2712.7146\nv  -4747.4189 6274.1157 -1206.1512\nv  -4747.4185 1300.9652 770.3486\nv  -4747.4189 2169.3027 770.3486\nv  -4747.4185 2169.3027 -720.8013\nv  -4747.4194 5092.0005 1249.9578\nv  -4747.4194 6215.6450 1249.9578\nv  -4747.4194 6453.7798 -1015.1259\nv  -4747.4194 6453.7798 1030.6909\nv  -4747.4185 1300.9652 -720.8013\nv  -4747.4194 4896.7407 1022.5669\nv  -4747.4189 4896.7407 -42.0400\nv  -4747.4185 2884.8699 -720.4021\nv  -4747.4189 4218.3789 -720.4021\nv  -4747.4189 2884.8699 769.9490\nv  -4747.4189 3789.1108 769.9490\nv  -4747.4194 4699.7070 2732.0991\nv  -4747.4194 4029.4851 2061.8770\nv  -4747.4189 6646.9111 -2712.7146\nv  -4747.4189 4029.4851 956.1213\n# 72 vertices\n\nvn 0.0000 0.0000 -1.0000\nvn 0.0000 -1.0000 0.0000\nvn -0.0000 0.0000 1.0000\nvn 0.0000 -0.7284 0.6851\nvn 0.0000 0.7071 -0.7071\nvn -0.0000 0.7587 -0.6515\nvn -0.0000 1.0000 -0.0000\nvn -0.0000 0.7071 0.7071\nvn 0.0000 -0.6774 -0.7356\nvn -0.0000 -0.6123 0.7906\nvn 0.0000 -0.7071 0.7071\nvn -0.4349 0.9005 -0.0000\nvn -0.4349 0.6367 0.6367\nvn -0.4349 -0.9005 -0.0000\nvn -0.4349 -0.0000 0.9005\nvn -0.4337 -0.0000 0.9011\nvn -0.4337 0.9011 -0.0000\nvn -0.4349 -0.0000 -0.9005\nvn -0.4349 -0.6559 0.6169\nvn -0.4349 -0.6100 -0.6624\nvn -0.4337 -0.9011 -0.0000\nvn -0.4349 0.6832 -0.5866\nvn -0.4349 0.6367 -0.6367\nvn -0.4349 -0.6367 0.6367\nvn -0.4337 -0.0000 -0.9011\nvn -0.4349 -0.5514 0.7119\nvn -1.0000 -0.0000 -0.0000\n# 27 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_3_003\nusemtl wire_087224198\ns off\nf 737/13/257 738/13/257 739/13/257 740/13/257 \nf 741/13/258 742/13/258 743/13/258 744/13/258 \nf 745/13/258 746/13/258 747/13/258 748/13/258 \nf 747/13/259 746/13/259 749/13/259 750/13/259 \nf 749/13/260 741/13/260 744/13/260 750/13/260 \nf 740/13/261 739/13/261 751/13/261 752/13/261 \nf 753/13/257 754/13/257 755/13/257 756/13/257 \nf 754/13/262 753/13/262 757/13/262 758/13/262 \nf 759/13/259 760/13/259 761/13/259 762/13/259 \nf 745/13/257 748/13/257 763/13/257 764/13/257 \nf 765/13/259 766/13/259 767/13/259 768/13/259 \nf 769/13/263 770/13/263 771/13/263 772/13/263 \nf 773/13/258 760/13/258 759/13/258 774/13/258 \nf 768/13/264 767/13/264 770/13/264 769/13/264 \nf 764/13/261 763/13/261 772/13/261 771/13/261 \nf 756/13/265 755/13/265 743/13/265 742/13/265 \nf 775/13/266 776/13/266 777/13/266 778/13/266 \nf 757/13/263 752/13/263 751/13/263 758/13/263 \nf 737/13/258 779/13/258 780/13/258 738/13/258 \nf 780/13/259 779/13/259 776/13/259 775/13/259 \nf 773/13/257 774/13/257 781/13/257 782/13/257 \nf 777/13/258 783/13/258 784/13/258 778/13/258 \nf 784/13/267 783/13/267 766/13/267 765/13/267 \nf 761/13/263 782/13/263 781/13/263 762/13/263 \nf 769/13/268 772/13/268 785/13/268 786/13/268 \nf 786/13/269 787/13/269 768/13/269 769/13/269 \nf 748/13/270 747/13/270 788/13/270 789/13/270 \nf 788/13/271 747/13/271 750/13/271 790/13/271 \nf 791/13/272 759/13/272 762/13/272 792/13/272 \nf 762/13/273 781/13/273 793/13/273 792/13/273 \nf 754/13/274 794/13/274 795/13/274 755/13/274 \nf 750/13/275 744/13/275 796/13/275 790/13/275 \nf 744/13/270 743/13/270 797/13/270 796/13/270 \nf 743/13/276 755/13/276 795/13/276 797/13/276 \nf 774/13/277 759/13/277 791/13/277 798/13/277 \nf 754/13/278 758/13/278 799/13/278 794/13/278 \nf 758/13/268 751/13/268 800/13/268 799/13/268 \nf 739/13/274 738/13/274 801/13/274 802/13/274 \nf 739/13/279 802/13/279 800/13/279 751/13/279 \nf 803/13/271 780/13/271 775/13/271 804/13/271 \nf 805/13/271 765/13/271 768/13/271 787/13/271 \nf 806/13/280 784/13/280 765/13/280 805/13/280 \nf 781/13/281 774/13/281 798/13/281 793/13/281 \nf 738/13/270 780/13/270 803/13/270 801/13/270 \nf 763/13/274 748/13/274 789/13/274 807/13/274 \nf 763/13/279 807/13/279 785/13/279 772/13/279 \nf 778/13/270 784/13/270 806/13/270 808/13/270 \nf 804/13/282 775/13/282 778/13/282 808/13/282 \nf 802/13/283 801/13/283 803/13/283 800/13/283 \nf 800/13/283 803/13/283 804/13/283 799/13/283 \nf 799/13/283 804/13/283 808/13/283 806/13/283 \nf 794/13/283 799/13/283 806/13/283 795/13/283 \nf 786/13/283 795/13/283 806/13/283 787/13/283 \nf 787/13/283 806/13/283 805/13/283 \nf 797/13/283 795/13/283 786/13/283 796/13/283 \nf 796/13/283 786/13/283 785/13/283 790/13/283 \nf 788/13/283 790/13/283 785/13/283 807/13/283 \nf 788/13/283 807/13/283 789/13/283 \nf 793/13/283 798/13/283 791/13/283 792/13/283 \n# 57 polygons - 2 triangles\n\n#\n# object Component_3_002\n#\n\nv  823.6638 2897.0273 -4253.7056\nv  823.6639 2897.0273 -4500.5620\nv  823.6639 4399.1357 -4500.5620\nv  823.6638 4399.1357 -4253.7061\nv  951.9139 6465.9370 -4253.7061\nv  -994.3608 6465.9370 -4253.7070\nv  -994.3606 6465.9370 -4500.5630\nv  951.9141 6465.9370 -4500.5620\nv  2815.9763 5226.7095 -4253.7046\nv  1070.9764 5226.7095 -4253.7056\nv  1070.9766 5226.7095 -4500.5620\nv  2815.9766 5226.7095 -4500.5610\nv  1070.9764 6353.9561 -4253.7056\nv  1070.9766 6353.9561 -4500.5620\nv  75.4658 5147.3345 -4500.5625\nv  75.4656 5147.3345 -4253.7065\nv  -1146.6960 5278.1436 -4253.7070\nv  -1146.6958 5278.1436 -4500.5635\nv  -1146.6958 6300.4937 -4500.5635\nv  -1146.6960 6300.4937 -4253.7070\nv  -994.3608 5147.3345 -4253.7070\nv  -994.3606 5147.3345 -4500.5630\nv  -905.1233 1313.5220 -4500.5630\nv  -905.1235 1313.5220 -4253.7065\nv  -905.1235 2419.4971 -4253.7065\nv  -905.1233 2419.4971 -4500.5630\nv  2815.9766 6827.6685 -4500.5610\nv  2815.9763 6827.6685 -4253.7046\nv  -2867.2737 4781.7002 -4500.5640\nv  -2867.2737 4781.7002 -4253.7080\nv  -2867.2737 6841.5313 -4253.7080\nv  -2867.2737 6841.5313 -4500.5645\nv  -2088.1458 7620.6592 -4500.5640\nv  -2088.1458 7620.6592 -4253.7075\nv  2022.9854 7620.6592 -4253.7051\nv  2022.9855 7620.6592 -4500.5615\nv  823.6638 1313.5220 -4253.7056\nv  823.6639 1313.5220 -4500.5620\nv  -905.1233 3879.7175 -4500.5630\nv  -905.1235 3879.7175 -4253.7070\nv  -1030.5361 4041.6423 -4253.7070\nv  -1030.5359 4041.6423 -4500.5630\nv  -905.1235 2897.0273 -4253.7065\nv  -905.1233 2897.0273 -4500.5630\nv  823.6639 2419.4971 -4500.5620\nv  823.6638 2419.4971 -4253.7056\nv  -2127.2151 4041.6423 -4253.7075\nv  -2127.2151 4041.6423 -4500.5640\nv  1973.6038 7501.4409 -4747.4180\nv  -2038.7634 7501.4409 -4747.4199\nv  -2748.0549 6792.1494 -4747.4204\nv  1190.1951 5345.9277 -4747.4180\nv  2696.7585 5345.9277 -4747.4175\nv  1190.1951 6405.4912 -4747.4180\nv  -786.3047 1432.3408 -4747.4189\nv  -786.3047 2300.6782 -4747.4189\nv  704.8452 2300.6782 -4747.4185\nv  -1265.9138 5223.3760 -4747.4194\nv  -1265.9138 6347.0205 -4747.4194\nv  999.1697 6585.1553 -4747.4185\nv  -1046.6470 6585.1553 -4747.4194\nv  704.8452 1432.3408 -4747.4185\nv  -1038.5229 5028.1162 -4747.4194\nv  26.0840 5028.1162 -4747.4189\nv  704.4460 3016.2456 -4747.4185\nv  704.4460 4349.7544 -4747.4185\nv  -785.9050 3016.2456 -4747.4189\nv  -785.9050 3920.4863 -4747.4194\nv  -2748.0549 4831.0825 -4747.4204\nv  -2077.8328 4160.8604 -4747.4199\nv  2696.7585 6778.2866 -4747.4175\nv  -972.0774 4160.8604 -4747.4194\n# 72 vertices\n\nvn 1.0000 0.0000 0.0000\nvn -0.0000 -1.0000 0.0000\nvn -1.0000 0.0000 -0.0000\nvn -0.6851 -0.7284 -0.0000\nvn 0.7071 0.7071 0.0000\nvn 0.6515 0.7587 0.0000\nvn 0.0000 1.0000 -0.0000\nvn -0.7071 0.7071 -0.0000\nvn 0.7356 -0.6774 0.0000\nvn -0.7906 -0.6123 -0.0000\nvn -0.7071 -0.7071 -0.0000\nvn 0.0000 0.9005 -0.4349\nvn -0.6367 0.6367 -0.4349\nvn 0.0000 -0.9005 -0.4349\nvn -0.9005 -0.0000 -0.4349\nvn -0.9011 -0.0000 -0.4337\nvn 0.0000 0.9011 -0.4337\nvn 0.9005 -0.0000 -0.4349\nvn -0.6169 -0.6559 -0.4349\nvn 0.6624 -0.6100 -0.4349\nvn 0.0000 -0.9011 -0.4337\nvn 0.5866 0.6832 -0.4349\nvn 0.6367 0.6367 -0.4349\nvn -0.6367 -0.6367 -0.4349\nvn 0.9011 -0.0000 -0.4337\nvn -0.7119 -0.5514 -0.4349\nvn 0.0000 -0.0000 -1.0000\n# 27 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_3_002\nusemtl wire_134006006\ns off\nf 809/14/284 810/14/284 811/14/284 812/14/284 \nf 813/14/285 814/14/285 815/14/285 816/14/285 \nf 817/14/285 818/14/285 819/14/285 820/14/285 \nf 819/14/286 818/14/286 821/14/286 822/14/286 \nf 821/14/287 813/14/287 816/14/287 822/14/287 \nf 812/14/288 811/14/288 823/14/288 824/14/288 \nf 825/14/284 826/14/284 827/14/284 828/14/284 \nf 826/14/289 825/14/289 829/14/289 830/14/289 \nf 831/14/286 832/14/286 833/14/286 834/14/286 \nf 817/14/284 820/14/284 835/14/284 836/14/284 \nf 837/14/286 838/14/286 839/14/286 840/14/286 \nf 841/14/290 842/14/290 843/14/290 844/14/290 \nf 845/14/285 832/14/285 831/14/285 846/14/285 \nf 840/14/291 839/14/291 842/14/291 841/14/291 \nf 836/14/288 835/14/288 844/14/288 843/14/288 \nf 828/14/292 827/14/292 815/14/292 814/14/292 \nf 847/14/293 848/14/293 849/14/293 850/14/293 \nf 829/14/290 824/14/290 823/14/290 830/14/290 \nf 809/14/285 851/14/285 852/14/285 810/14/285 \nf 852/14/286 851/14/286 848/14/286 847/14/286 \nf 845/14/284 846/14/284 853/14/284 854/14/284 \nf 849/14/285 855/14/285 856/14/285 850/14/285 \nf 856/14/294 855/14/294 838/14/294 837/14/294 \nf 833/14/290 854/14/290 853/14/290 834/14/290 \nf 841/14/295 844/14/295 857/14/295 858/14/295 \nf 858/14/296 859/14/296 840/14/296 841/14/296 \nf 820/14/297 819/14/297 860/14/297 861/14/297 \nf 860/14/298 819/14/298 822/14/298 862/14/298 \nf 863/14/299 831/14/299 834/14/299 864/14/299 \nf 834/14/300 853/14/300 865/14/300 864/14/300 \nf 826/14/301 866/14/301 867/14/301 827/14/301 \nf 822/14/302 816/14/302 868/14/302 862/14/302 \nf 816/14/297 815/14/297 869/14/297 868/14/297 \nf 815/14/303 827/14/303 867/14/303 869/14/303 \nf 846/14/304 831/14/304 863/14/304 870/14/304 \nf 826/14/305 830/14/305 871/14/305 866/14/305 \nf 830/14/295 823/14/295 872/14/295 871/14/295 \nf 811/14/301 810/14/301 873/14/301 874/14/301 \nf 811/14/306 874/14/306 872/14/306 823/14/306 \nf 875/14/298 852/14/298 847/14/298 876/14/298 \nf 877/14/298 837/14/298 840/14/298 859/14/298 \nf 878/14/307 856/14/307 837/14/307 877/14/307 \nf 853/14/308 846/14/308 870/14/308 865/14/308 \nf 810/14/297 852/14/297 875/14/297 873/14/297 \nf 835/14/301 820/14/301 861/14/301 879/14/301 \nf 835/14/306 879/14/306 857/14/306 844/14/306 \nf 850/14/297 856/14/297 878/14/297 880/14/297 \nf 876/14/309 847/14/309 850/14/309 880/14/309 \nf 874/14/310 873/14/310 875/14/310 872/14/310 \nf 872/14/310 875/14/310 876/14/310 871/14/310 \nf 871/14/310 876/14/310 880/14/310 878/14/310 \nf 866/14/310 871/14/310 878/14/310 867/14/310 \nf 858/14/310 867/14/310 878/14/310 859/14/310 \nf 859/14/310 878/14/310 877/14/310 \nf 869/14/310 867/14/310 858/14/310 868/14/310 \nf 868/14/310 858/14/310 857/14/310 862/14/310 \nf 860/14/310 862/14/310 857/14/310 879/14/310 \nf 860/14/310 879/14/310 861/14/310 \nf 865/14/310 870/14/310 863/14/310 864/14/310 \n# 57 polygons - 2 triangles\n\n#\n# object Component_3_001\n#\n\nv  -944.6094 8507.4121 1506.6313\nv  -944.6094 8754.2686 1506.6313\nv  -944.6094 8754.2686 4.5227\nv  -944.6094 8507.4121 4.5227\nv  -1072.8595 8507.4121 -2062.2783\nv  873.4153 8507.4121 -2062.2783\nv  873.4153 8754.2686 -2062.2783\nv  -1072.8595 8754.2686 -2062.2783\nv  -2936.9219 8507.4121 -823.0508\nv  -1191.9220 8507.4121 -823.0508\nv  -1191.9220 8754.2686 -823.0508\nv  -2936.9219 8754.2686 -823.0508\nv  -1191.9220 8507.4121 -1950.2974\nv  -1191.9220 8754.2686 -1950.2974\nv  -196.4111 8754.2686 -743.6758\nv  -196.4111 8507.4121 -743.6758\nv  1025.7505 8507.4121 -874.4851\nv  1025.7505 8754.2686 -874.4851\nv  1025.7505 8754.2686 -1896.8350\nv  1025.7505 8507.4121 -1896.8350\nv  873.4153 8507.4121 -743.6758\nv  873.4153 8754.2686 -743.6758\nv  784.1780 8754.2686 3090.1367\nv  784.1780 8507.4121 3090.1367\nv  784.1780 8507.4121 1984.1615\nv  784.1780 8754.2686 1984.1615\nv  -2936.9219 8754.2686 -2424.0098\nv  -2936.9219 8507.4121 -2424.0098\nv  2746.3281 8754.2686 -378.0417\nv  2746.3281 8507.4121 -378.0417\nv  2746.3281 8507.4121 -2437.8726\nv  2746.3281 8754.2686 -2437.8726\nv  1967.2002 8754.2686 -3217.0005\nv  1967.2002 8507.4121 -3217.0005\nv  -2143.9309 8507.4121 -3217.0005\nv  -2143.9309 8754.2686 -3217.0005\nv  -944.6094 8507.4121 3090.1367\nv  -944.6094 8754.2686 3090.1367\nv  784.1780 8754.2686 523.9412\nv  784.1780 8507.4121 523.9412\nv  909.5906 8507.4121 362.0164\nv  909.5906 8754.2686 362.0164\nv  784.1780 8507.4121 1506.6313\nv  784.1780 8754.2686 1506.6313\nv  -944.6094 8754.2686 1984.1615\nv  -944.6094 8507.4121 1984.1615\nv  2006.2695 8507.4121 362.0164\nv  2006.2695 8754.2686 362.0164\nv  -2094.5491 9001.1250 -3097.7822\nv  1917.8184 9001.1250 -3097.7822\nv  2627.1099 9001.1250 -2388.4907\nv  -1311.1404 9001.1250 -942.2690\nv  -2817.7036 9001.1250 -942.2690\nv  -1311.1404 9001.1250 -2001.8325\nv  665.3594 9001.1250 2971.3179\nv  665.3594 9001.1250 2102.9805\nv  -825.7905 9001.1250 2102.9805\nv  1144.9685 9001.1250 -819.7173\nv  1144.9685 9001.1250 -1943.3618\nv  -1120.1150 9001.1250 -2181.4966\nv  925.7017 9001.1250 -2181.4966\nv  -825.7905 9001.1250 2971.3179\nv  917.5776 9001.1250 -624.4575\nv  -147.0293 9001.1250 -624.4575\nv  -825.3914 9001.1250 1387.4132\nv  -825.3914 9001.1250 53.9043\nv  664.9597 9001.1250 1387.4132\nv  664.9597 9001.1250 483.1724\nv  2627.1099 9001.1250 -427.4238\nv  1956.8877 9001.1250 242.7981\nv  -2817.7036 9001.1250 -2374.6279\nv  851.1321 9001.1250 242.7981\n# 72 vertices\n\nvn -1.0000 0.0000 -0.0000\nvn 0.0000 0.0000 1.0000\nvn 1.0000 0.0000 -0.0000\nvn 0.6851 0.0000 0.7284\nvn -0.7071 0.0000 -0.7071\nvn -0.6515 0.0000 -0.7587\nvn 0.0000 0.0000 -1.0000\nvn 0.7071 -0.0000 -0.7071\nvn -0.7356 0.0000 0.6774\nvn 0.7906 0.0000 0.6123\nvn 0.7071 0.0000 0.7071\nvn 0.0000 0.4349 -0.9005\nvn 0.6367 0.4349 -0.6367\nvn -0.0000 0.4349 0.9005\nvn 0.9005 0.4349 -0.0000\nvn 0.9011 0.4337 -0.0000\nvn -0.0000 0.4337 -0.9011\nvn -0.9005 0.4349 -0.0000\nvn 0.6169 0.4349 0.6559\nvn -0.6624 0.4349 0.6100\nvn -0.0000 0.4337 0.9011\nvn -0.5866 0.4349 -0.6832\nvn -0.6367 0.4349 -0.6367\nvn 0.6367 0.4349 0.6367\nvn -0.9011 0.4337 -0.0000\nvn 0.7119 0.4349 0.5514\nvn 0.0000 1.0000 -0.0000\n# 27 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_3_001\nusemtl wire_134110008\ns off\nf 881/15/311 882/15/311 883/15/311 884/15/311 \nf 885/15/312 886/15/312 887/15/312 888/15/312 \nf 889/15/312 890/15/312 891/15/312 892/15/312 \nf 891/15/313 890/15/313 893/15/313 894/15/313 \nf 893/15/314 885/15/314 888/15/314 894/15/314 \nf 884/15/315 883/15/315 895/15/315 896/15/315 \nf 897/15/311 898/15/311 899/15/311 900/15/311 \nf 898/15/316 897/15/316 901/15/316 902/15/316 \nf 903/15/313 904/15/313 905/15/313 906/15/313 \nf 889/15/311 892/15/311 907/15/311 908/15/311 \nf 909/15/313 910/15/313 911/15/313 912/15/313 \nf 913/15/317 914/15/317 915/15/317 916/15/317 \nf 917/15/312 904/15/312 903/15/312 918/15/312 \nf 912/15/318 911/15/318 914/15/318 913/15/318 \nf 908/15/315 907/15/315 916/15/315 915/15/315 \nf 900/15/319 899/15/319 887/15/319 886/15/319 \nf 919/15/320 920/15/320 921/15/320 922/15/320 \nf 901/15/317 896/15/317 895/15/317 902/15/317 \nf 881/15/312 923/15/312 924/15/312 882/15/312 \nf 924/15/313 923/15/313 920/15/313 919/15/313 \nf 917/15/311 918/15/311 925/15/311 926/15/311 \nf 921/15/312 927/15/312 928/15/312 922/15/312 \nf 928/15/321 927/15/321 910/15/321 909/15/321 \nf 905/15/317 926/15/317 925/15/317 906/15/317 \nf 913/15/322 916/15/322 929/15/322 930/15/322 \nf 930/15/323 931/15/323 912/15/323 913/15/323 \nf 892/15/324 891/15/324 932/15/324 933/15/324 \nf 932/15/325 891/15/325 894/15/325 934/15/325 \nf 935/15/326 903/15/326 906/15/326 936/15/326 \nf 906/15/327 925/15/327 937/15/327 936/15/327 \nf 898/15/328 938/15/328 939/15/328 899/15/328 \nf 894/15/329 888/15/329 940/15/329 934/15/329 \nf 888/15/324 887/15/324 941/15/324 940/15/324 \nf 887/15/330 899/15/330 939/15/330 941/15/330 \nf 918/15/331 903/15/331 935/15/331 942/15/331 \nf 898/15/332 902/15/332 943/15/332 938/15/332 \nf 902/15/322 895/15/322 944/15/322 943/15/322 \nf 883/15/328 882/15/328 945/15/328 946/15/328 \nf 883/15/333 946/15/333 944/15/333 895/15/333 \nf 947/15/325 924/15/325 919/15/325 948/15/325 \nf 949/15/325 909/15/325 912/15/325 931/15/325 \nf 950/15/334 928/15/334 909/15/334 949/15/334 \nf 925/15/335 918/15/335 942/15/335 937/15/335 \nf 882/15/324 924/15/324 947/15/324 945/15/324 \nf 907/15/328 892/15/328 933/15/328 951/15/328 \nf 907/15/333 951/15/333 929/15/333 916/15/333 \nf 922/15/324 928/15/324 950/15/324 952/15/324 \nf 948/15/336 919/15/336 922/15/336 952/15/336 \nf 946/15/337 945/15/337 947/15/337 944/15/337 \nf 944/15/337 947/15/337 948/15/337 943/15/337 \nf 943/15/337 948/15/337 952/15/337 950/15/337 \nf 938/15/337 943/15/337 950/15/337 939/15/337 \nf 930/15/337 939/15/337 950/15/337 931/15/337 \nf 931/15/337 950/15/337 949/15/337 \nf 941/15/337 939/15/337 930/15/337 940/15/337 \nf 940/15/337 930/15/337 929/15/337 934/15/337 \nf 932/15/337 934/15/337 929/15/337 951/15/337 \nf 932/15/337 951/15/337 933/15/337 \nf 937/15/337 942/15/337 935/15/337 936/15/337 \n# 57 polygons - 2 triangles\n\n#\n# object Component_1_016\n#\n\nv  3314.7778 538.6129 -4155.2813\nv  3302.9316 628.5946 -4155.2813\nv  3314.7778 718.5763 -4155.2808\nv  3349.5095 802.4259 -4155.2808\nv  3349.5095 454.7634 -4155.2813\nv  3404.7595 874.4292 -4155.2808\nv  3404.7595 382.7601 -4155.2808\nv  3476.7629 929.6792 -4155.2808\nv  3476.7629 327.5101 -4155.2808\nv  3560.6123 964.4109 -4155.2808\nv  3560.6123 292.7784 -4155.2808\nv  3650.5940 976.2572 -4155.2808\nv  3650.5940 280.9321 -4155.2808\nv  3740.5757 964.4109 -4155.2808\nv  3740.5757 292.7784 -4155.2808\nv  3824.4253 929.6792 -4155.2808\nv  3824.4253 327.5101 -4155.2808\nv  3896.4287 874.4292 -4155.2808\nv  3896.4287 382.7601 -4155.2808\nv  3951.6787 802.4259 -4155.2808\nv  3951.6787 454.7634 -4155.2808\nv  3986.4102 718.5763 -4155.2808\nv  3986.4102 538.6129 -4155.2808\nv  3998.2566 628.5946 -4155.2808\nv  3998.2566 628.5947 -4253.7056\nv  3986.4104 718.5763 -4253.7056\nv  3951.6787 802.4259 -4253.7056\nv  3896.4287 874.4292 -4253.7056\nv  3824.4253 929.6792 -4253.7056\nv  3740.5757 964.4109 -4253.7056\nv  3650.5942 976.2572 -4253.7056\nv  3560.6125 964.4109 -4253.7056\nv  3476.7629 929.6792 -4253.7061\nv  3404.7595 874.4292 -4253.7061\nv  3349.5095 802.4259 -4253.7061\nv  3314.7778 718.5763 -4253.7061\nv  3302.9316 628.5947 -4253.7061\nv  3314.7778 538.6130 -4253.7061\nv  3349.5095 454.7634 -4253.7061\nv  3404.7595 382.7601 -4253.7061\nv  3476.7629 327.5101 -4253.7061\nv  3560.6125 292.7785 -4253.7061\nv  3650.5942 280.9322 -4253.7061\nv  3740.5757 292.7785 -4253.7056\nv  3824.4253 327.5101 -4253.7056\nv  3896.4287 382.7601 -4253.7056\nv  3951.6787 454.7634 -4253.7056\nv  3986.4104 538.6130 -4253.7056\n# 48 vertices\n\nvn -0.0000 -0.0000 1.0000\nvn 1.0000 0.0000 0.0000\nvn 0.9659 0.2588 0.0000\nvn 0.8660 0.5000 0.0000\nvn 0.7071 0.7071 0.0000\nvn 0.5000 0.8660 0.0000\nvn 0.2588 0.9659 0.0000\nvn -0.0000 1.0000 0.0000\nvn -0.2588 0.9659 0.0000\nvn -0.5000 0.8660 -0.0000\nvn -0.7071 0.7071 -0.0000\nvn -0.8660 0.5000 -0.0000\nvn -0.9659 0.2588 -0.0000\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 -0.2588 -0.0000\nvn -0.8660 -0.5000 -0.0000\nvn -0.7071 -0.7071 -0.0000\nvn -0.5000 -0.8660 -0.0000\nvn -0.2588 -0.9659 -0.0000\nvn 0.0000 -1.0000 -0.0000\nvn 0.2588 -0.9659 -0.0000\nvn 0.5000 -0.8660 0.0000\nvn 0.7071 -0.7071 0.0000\nvn 0.8660 -0.5000 0.0000\nvn 0.9659 -0.2588 0.0000\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_016\nusemtl wire_134110008\ns off\nf 956/16/338 955/16/338 954/16/338 953/16/338 \nf 958/16/338 956/16/338 953/16/338 957/16/338 \nf 960/16/338 958/16/338 957/16/338 959/16/338 \nf 962/16/338 960/16/338 959/16/338 961/16/338 \nf 964/16/338 962/16/338 961/16/338 963/16/338 \nf 966/16/338 964/16/338 963/16/338 965/16/338 \nf 968/16/338 966/16/338 965/16/338 967/16/338 \nf 970/16/338 968/16/338 967/16/338 969/16/338 \nf 972/16/338 970/16/338 969/16/338 971/16/338 \nf 974/16/338 972/16/338 971/16/338 973/16/338 \nf 976/16/338 974/16/338 973/16/338 975/16/338 \nf 978/16/340 974/16/340 976/16/339 977/16/339 \nf 979/16/341 972/16/341 974/16/340 978/16/340 \nf 980/16/342 970/16/342 972/16/341 979/16/341 \nf 980/16/342 981/16/343 968/16/343 970/16/342 \nf 981/16/343 982/16/344 966/16/344 968/16/343 \nf 982/16/344 983/16/345 964/16/345 966/16/344 \nf 983/16/345 984/16/346 962/16/346 964/16/345 \nf 984/16/346 985/16/347 960/16/347 962/16/346 \nf 985/16/347 986/16/348 958/16/348 960/16/347 \nf 958/16/348 986/16/348 987/16/349 956/16/349 \nf 956/16/349 987/16/349 988/16/350 955/16/350 \nf 955/16/350 988/16/350 989/16/351 954/16/351 \nf 954/16/351 989/16/351 990/16/352 953/16/352 \nf 953/16/352 990/16/352 991/16/353 957/16/353 \nf 957/16/353 991/16/353 992/16/354 959/16/354 \nf 992/16/354 993/16/355 961/16/355 959/16/354 \nf 993/16/355 994/16/356 963/16/356 961/16/355 \nf 994/16/356 995/16/357 965/16/357 963/16/356 \nf 995/16/357 996/16/358 967/16/358 965/16/357 \nf 996/16/358 997/16/359 969/16/359 967/16/358 \nf 997/16/359 998/16/360 971/16/360 969/16/359 \nf 999/16/361 973/16/361 971/16/360 998/16/360 \nf 1000/16/362 975/16/362 973/16/361 999/16/361 \nf 977/16/339 976/16/339 975/16/362 1000/16/362 \n# 35 polygons\n\n#\n# object Component_1_015\n#\n\nv  -3979.0828 535.0575 -4155.2813\nv  -3990.9290 625.0392 -4155.2813\nv  -3979.0828 715.0208 -4155.2808\nv  -3944.3511 798.8704 -4155.2808\nv  -3944.3511 451.2079 -4155.2813\nv  -3889.1011 870.8737 -4155.2808\nv  -3889.1011 379.2047 -4155.2808\nv  -3817.0977 926.1238 -4155.2808\nv  -3817.0977 323.9546 -4155.2808\nv  -3733.2483 960.8553 -4155.2808\nv  -3733.2483 289.2230 -4155.2808\nv  -3643.2666 972.7017 -4155.2808\nv  -3643.2666 277.3766 -4155.2808\nv  -3553.2849 960.8553 -4155.2808\nv  -3553.2849 289.2230 -4155.2808\nv  -3469.4353 926.1238 -4155.2808\nv  -3469.4353 323.9546 -4155.2808\nv  -3397.4321 870.8737 -4155.2808\nv  -3397.4321 379.2047 -4155.2808\nv  -3342.1819 798.8704 -4155.2808\nv  -3342.1819 451.2079 -4155.2808\nv  -3307.4502 715.0208 -4155.2808\nv  -3307.4502 535.0575 -4155.2808\nv  -3295.6040 625.0392 -4155.2808\nv  -3295.6040 625.0392 -4253.7056\nv  -3307.4502 715.0209 -4253.7056\nv  -3342.1819 798.8704 -4253.7056\nv  -3397.4319 870.8737 -4253.7056\nv  -3469.4353 926.1238 -4253.7056\nv  -3553.2847 960.8553 -4253.7056\nv  -3643.2664 972.7017 -4253.7056\nv  -3733.2480 960.8553 -4253.7056\nv  -3817.0977 926.1238 -4253.7061\nv  -3889.1011 870.8737 -4253.7061\nv  -3944.3511 798.8704 -4253.7061\nv  -3979.0828 715.0209 -4253.7061\nv  -3990.9290 625.0392 -4253.7061\nv  -3979.0828 535.0575 -4253.7061\nv  -3944.3511 451.2079 -4253.7061\nv  -3889.1011 379.2047 -4253.7061\nv  -3817.0977 323.9546 -4253.7061\nv  -3733.2480 289.2230 -4253.7061\nv  -3643.2664 277.3767 -4253.7061\nv  -3553.2847 289.2230 -4253.7056\nv  -3469.4353 323.9546 -4253.7056\nv  -3397.4319 379.2047 -4253.7056\nv  -3342.1819 451.2079 -4253.7056\nv  -3307.4502 535.0575 -4253.7056\n# 48 vertices\n\nvn -0.0000 -0.0000 1.0000\nvn 1.0000 0.0000 0.0000\nvn 0.9659 0.2588 0.0000\nvn 0.8660 0.5000 0.0000\nvn 0.7071 0.7071 0.0000\nvn 0.5000 0.8660 0.0000\nvn 0.2588 0.9659 0.0000\nvn -0.0000 1.0000 0.0000\nvn -0.2588 0.9659 0.0000\nvn -0.5000 0.8660 -0.0000\nvn -0.7071 0.7071 -0.0000\nvn -0.8660 0.5000 -0.0000\nvn -0.9659 0.2588 -0.0000\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 -0.2588 -0.0000\nvn -0.8660 -0.5000 -0.0000\nvn -0.7071 -0.7071 -0.0000\nvn -0.5000 -0.8660 -0.0000\nvn -0.2588 -0.9659 -0.0000\nvn 0.0000 -1.0000 -0.0000\nvn 0.2588 -0.9659 -0.0000\nvn 0.5000 -0.8660 0.0000\nvn 0.7071 -0.7071 0.0000\nvn 0.8660 -0.5000 0.0000\nvn 0.9659 -0.2588 0.0000\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_015\nusemtl wire_028089177\ns off\nf 1004/17/363 1003/17/363 1002/17/363 1001/17/363 \nf 1006/17/363 1004/17/363 1001/17/363 1005/17/363 \nf 1008/17/363 1006/17/363 1005/17/363 1007/17/363 \nf 1010/17/363 1008/17/363 1007/17/363 1009/17/363 \nf 1012/17/363 1010/17/363 1009/17/363 1011/17/363 \nf 1014/17/363 1012/17/363 1011/17/363 1013/17/363 \nf 1016/17/363 1014/17/363 1013/17/363 1015/17/363 \nf 1018/17/363 1016/17/363 1015/17/363 1017/17/363 \nf 1020/17/363 1018/17/363 1017/17/363 1019/17/363 \nf 1022/17/363 1020/17/363 1019/17/363 1021/17/363 \nf 1024/17/363 1022/17/363 1021/17/363 1023/17/363 \nf 1026/17/365 1022/17/365 1024/17/364 1025/17/364 \nf 1027/17/366 1020/17/366 1022/17/365 1026/17/365 \nf 1028/17/367 1018/17/367 1020/17/366 1027/17/366 \nf 1028/17/367 1029/17/368 1016/17/368 1018/17/367 \nf 1029/17/368 1030/17/369 1014/17/369 1016/17/368 \nf 1030/17/369 1031/17/370 1012/17/370 1014/17/369 \nf 1031/17/370 1032/17/371 1010/17/371 1012/17/370 \nf 1032/17/371 1033/17/372 1008/17/372 1010/17/371 \nf 1033/17/372 1034/17/373 1006/17/373 1008/17/372 \nf 1006/17/373 1034/17/373 1035/17/374 1004/17/374 \nf 1004/17/374 1035/17/374 1036/17/375 1003/17/375 \nf 1003/17/375 1036/17/375 1037/17/376 1002/17/376 \nf 1002/17/376 1037/17/376 1038/17/377 1001/17/377 \nf 1001/17/377 1038/17/377 1039/17/378 1005/17/378 \nf 1005/17/378 1039/17/378 1040/17/379 1007/17/379 \nf 1040/17/379 1041/17/380 1009/17/380 1007/17/379 \nf 1041/17/380 1042/17/381 1011/17/381 1009/17/380 \nf 1042/17/381 1043/17/382 1013/17/382 1011/17/381 \nf 1043/17/382 1044/17/383 1015/17/383 1013/17/382 \nf 1044/17/383 1045/17/384 1017/17/384 1015/17/383 \nf 1045/17/384 1046/17/385 1019/17/385 1017/17/384 \nf 1047/17/386 1021/17/386 1019/17/385 1046/17/385 \nf 1048/17/387 1023/17/387 1021/17/386 1047/17/386 \nf 1025/17/364 1024/17/364 1023/17/387 1048/17/387 \n# 35 polygons\n\n#\n# object Component_1_014\n#\n\nv  -3978.6194 7854.8896 -4155.2813\nv  -3990.4656 7944.8716 -4155.2813\nv  -3978.6194 8034.8530 -4155.2808\nv  -3943.8877 8118.7026 -4155.2808\nv  -3943.8877 7771.0400 -4155.2813\nv  -3888.6377 8190.7061 -4155.2808\nv  -3888.6377 7699.0371 -4155.2808\nv  -3816.6343 8245.9561 -4155.2808\nv  -3816.6343 7643.7871 -4155.2808\nv  -3732.7849 8280.6875 -4155.2808\nv  -3732.7849 7609.0552 -4155.2808\nv  -3642.8032 8292.5342 -4155.2808\nv  -3642.8032 7597.2090 -4155.2808\nv  -3552.8215 8280.6875 -4155.2808\nv  -3552.8215 7609.0552 -4155.2808\nv  -3468.9719 8245.9561 -4155.2808\nv  -3468.9719 7643.7871 -4155.2808\nv  -3396.9688 8190.7061 -4155.2808\nv  -3396.9688 7699.0371 -4155.2808\nv  -3341.7185 8118.7026 -4155.2808\nv  -3341.7185 7771.0400 -4155.2808\nv  -3306.9868 8034.8530 -4155.2808\nv  -3306.9868 7854.8896 -4155.2808\nv  -3295.1406 7944.8716 -4155.2808\nv  -3295.1406 7944.8716 -4253.7056\nv  -3306.9868 8034.8530 -4253.7056\nv  -3341.7185 8118.7026 -4253.7056\nv  -3396.9685 8190.7061 -4253.7056\nv  -3468.9719 8245.9561 -4253.7056\nv  -3552.8213 8280.6875 -4253.7056\nv  -3642.8030 8292.5342 -4253.7056\nv  -3732.7847 8280.6875 -4253.7056\nv  -3816.6343 8245.9561 -4253.7061\nv  -3888.6377 8190.7061 -4253.7061\nv  -3943.8877 8118.7026 -4253.7061\nv  -3978.6194 8034.8530 -4253.7061\nv  -3990.4656 7944.8716 -4253.7061\nv  -3978.6194 7854.8896 -4253.7061\nv  -3943.8877 7771.0400 -4253.7061\nv  -3888.6377 7699.0371 -4253.7061\nv  -3816.6343 7643.7871 -4253.7061\nv  -3732.7847 7609.0552 -4253.7061\nv  -3642.8030 7597.2090 -4253.7061\nv  -3552.8213 7609.0552 -4253.7056\nv  -3468.9719 7643.7871 -4253.7056\nv  -3396.9685 7699.0371 -4253.7056\nv  -3341.7185 7771.0400 -4253.7056\nv  -3306.9868 7854.8896 -4253.7056\n# 48 vertices\n\nvn -0.0000 -0.0000 1.0000\nvn 1.0000 0.0000 0.0000\nvn 0.9659 0.2588 0.0000\nvn 0.8660 0.5000 0.0000\nvn 0.7071 0.7071 0.0000\nvn 0.5000 0.8660 0.0000\nvn 0.2588 0.9659 0.0000\nvn -0.0000 1.0000 0.0000\nvn -0.2588 0.9659 0.0000\nvn -0.5000 0.8660 -0.0000\nvn -0.7071 0.7071 -0.0000\nvn -0.8660 0.5000 -0.0000\nvn -0.9659 0.2588 -0.0000\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 -0.2588 -0.0000\nvn -0.8660 -0.5000 -0.0000\nvn -0.7071 -0.7071 -0.0000\nvn -0.5000 -0.8660 -0.0000\nvn -0.2588 -0.9659 -0.0000\nvn 0.0000 -1.0000 -0.0000\nvn 0.2588 -0.9659 -0.0000\nvn 0.5000 -0.8660 0.0000\nvn 0.7071 -0.7071 0.0000\nvn 0.8660 -0.5000 0.0000\nvn 0.9659 -0.2588 0.0000\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_014\nusemtl wire_229166215\ns off\nf 1052/18/388 1051/18/388 1050/18/388 1049/18/388 \nf 1054/18/388 1052/18/388 1049/18/388 1053/18/388 \nf 1056/18/388 1054/18/388 1053/18/388 1055/18/388 \nf 1058/18/388 1056/18/388 1055/18/388 1057/18/388 \nf 1060/18/388 1058/18/388 1057/18/388 1059/18/388 \nf 1062/18/388 1060/18/388 1059/18/388 1061/18/388 \nf 1064/18/388 1062/18/388 1061/18/388 1063/18/388 \nf 1066/18/388 1064/18/388 1063/18/388 1065/18/388 \nf 1068/18/388 1066/18/388 1065/18/388 1067/18/388 \nf 1070/18/388 1068/18/388 1067/18/388 1069/18/388 \nf 1072/18/388 1070/18/388 1069/18/388 1071/18/388 \nf 1074/18/390 1070/18/390 1072/18/389 1073/18/389 \nf 1075/18/391 1068/18/391 1070/18/390 1074/18/390 \nf 1076/18/392 1066/18/392 1068/18/391 1075/18/391 \nf 1076/18/392 1077/18/393 1064/18/393 1066/18/392 \nf 1077/18/393 1078/18/394 1062/18/394 1064/18/393 \nf 1078/18/394 1079/18/395 1060/18/395 1062/18/394 \nf 1079/18/395 1080/18/396 1058/18/396 1060/18/395 \nf 1080/18/396 1081/18/397 1056/18/397 1058/18/396 \nf 1081/18/397 1082/18/398 1054/18/398 1056/18/397 \nf 1054/18/398 1082/18/398 1083/18/399 1052/18/399 \nf 1052/18/399 1083/18/399 1084/18/400 1051/18/400 \nf 1051/18/400 1084/18/400 1085/18/401 1050/18/401 \nf 1050/18/401 1085/18/401 1086/18/402 1049/18/402 \nf 1049/18/402 1086/18/402 1087/18/403 1053/18/403 \nf 1053/18/403 1087/18/403 1088/18/404 1055/18/404 \nf 1088/18/404 1089/18/405 1057/18/405 1055/18/404 \nf 1089/18/405 1090/18/406 1059/18/406 1057/18/405 \nf 1090/18/406 1091/18/407 1061/18/407 1059/18/406 \nf 1091/18/407 1092/18/408 1063/18/408 1061/18/407 \nf 1092/18/408 1093/18/409 1065/18/409 1063/18/408 \nf 1093/18/409 1094/18/410 1067/18/410 1065/18/409 \nf 1095/18/411 1069/18/411 1067/18/410 1094/18/410 \nf 1096/18/412 1071/18/412 1069/18/411 1095/18/411 \nf 1073/18/389 1072/18/389 1071/18/412 1096/18/412 \n# 35 polygons\n\n#\n# object Component_1_013\n#\n\nv  3317.9341 7844.4053 -4155.2813\nv  3306.0879 7934.3872 -4155.2813\nv  3317.9341 8024.3687 -4155.2808\nv  3352.6658 8108.2183 -4155.2808\nv  3352.6658 7760.5557 -4155.2813\nv  3407.9158 8180.2217 -4155.2808\nv  3407.9158 7688.5527 -4155.2808\nv  3479.9192 8235.4717 -4155.2808\nv  3479.9192 7633.3027 -4155.2808\nv  3563.7686 8270.2031 -4155.2808\nv  3563.7686 7598.5708 -4155.2808\nv  3653.7502 8282.0498 -4155.2808\nv  3653.7502 7586.7246 -4155.2808\nv  3743.7319 8270.2031 -4155.2808\nv  3743.7319 7598.5708 -4155.2808\nv  3827.5815 8235.4717 -4155.2808\nv  3827.5815 7633.3027 -4155.2808\nv  3899.5850 8180.2217 -4155.2808\nv  3899.5850 7688.5527 -4155.2808\nv  3954.8350 8108.2183 -4155.2808\nv  3954.8350 7760.5557 -4155.2808\nv  3989.5664 8024.3687 -4155.2808\nv  3989.5664 7844.4053 -4155.2808\nv  4001.4128 7934.3872 -4155.2808\nv  4001.4128 7934.3872 -4253.7056\nv  3989.5667 8024.3687 -4253.7056\nv  3954.8350 8108.2183 -4253.7056\nv  3899.5850 8180.2217 -4253.7056\nv  3827.5815 8235.4717 -4253.7056\nv  3743.7319 8270.2031 -4253.7056\nv  3653.7505 8282.0498 -4253.7056\nv  3563.7688 8270.2031 -4253.7056\nv  3479.9192 8235.4717 -4253.7061\nv  3407.9158 8180.2217 -4253.7061\nv  3352.6658 8108.2183 -4253.7061\nv  3317.9341 8024.3687 -4253.7061\nv  3306.0879 7934.3872 -4253.7061\nv  3317.9341 7844.4053 -4253.7061\nv  3352.6658 7760.5557 -4253.7061\nv  3407.9158 7688.5527 -4253.7061\nv  3479.9192 7633.3027 -4253.7061\nv  3563.7688 7598.5708 -4253.7061\nv  3653.7505 7586.7246 -4253.7061\nv  3743.7319 7598.5708 -4253.7056\nv  3827.5815 7633.3027 -4253.7056\nv  3899.5850 7688.5527 -4253.7056\nv  3954.8350 7760.5557 -4253.7056\nv  3989.5667 7844.4053 -4253.7056\n# 48 vertices\n\nvn -0.0000 -0.0000 1.0000\nvn 1.0000 0.0000 0.0000\nvn 0.9659 0.2588 0.0000\nvn 0.8660 0.5000 0.0000\nvn 0.7071 0.7071 0.0000\nvn 0.5000 0.8660 0.0000\nvn 0.2588 0.9659 0.0000\nvn -0.0000 1.0000 0.0000\nvn -0.2588 0.9659 0.0000\nvn -0.5000 0.8660 -0.0000\nvn -0.7071 0.7071 -0.0000\nvn -0.8660 0.5000 -0.0000\nvn -0.9659 0.2588 -0.0000\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 -0.2588 -0.0000\nvn -0.8660 -0.5000 -0.0000\nvn -0.7071 -0.7071 -0.0000\nvn -0.5000 -0.8660 -0.0000\nvn -0.2588 -0.9659 -0.0000\nvn 0.0000 -1.0000 -0.0000\nvn 0.2588 -0.9659 -0.0000\nvn 0.5000 -0.8660 0.0000\nvn 0.7071 -0.7071 0.0000\nvn 0.8660 -0.5000 0.0000\nvn 0.9659 -0.2588 0.0000\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_013\nusemtl wire_134110008\ns off\nf 1100/19/413 1099/19/413 1098/19/413 1097/19/413 \nf 1102/19/413 1100/19/413 1097/19/413 1101/19/413 \nf 1104/19/413 1102/19/413 1101/19/413 1103/19/413 \nf 1106/19/413 1104/19/413 1103/19/413 1105/19/413 \nf 1108/19/413 1106/19/413 1105/19/413 1107/19/413 \nf 1110/19/413 1108/19/413 1107/19/413 1109/19/413 \nf 1112/19/413 1110/19/413 1109/19/413 1111/19/413 \nf 1114/19/413 1112/19/413 1111/19/413 1113/19/413 \nf 1116/19/413 1114/19/413 1113/19/413 1115/19/413 \nf 1118/19/413 1116/19/413 1115/19/413 1117/19/413 \nf 1120/19/413 1118/19/413 1117/19/413 1119/19/413 \nf 1122/19/415 1118/19/415 1120/19/414 1121/19/414 \nf 1123/19/416 1116/19/416 1118/19/415 1122/19/415 \nf 1124/19/417 1114/19/417 1116/19/416 1123/19/416 \nf 1124/19/417 1125/19/418 1112/19/418 1114/19/417 \nf 1125/19/418 1126/19/419 1110/19/419 1112/19/418 \nf 1126/19/419 1127/19/420 1108/19/420 1110/19/419 \nf 1127/19/420 1128/19/421 1106/19/421 1108/19/420 \nf 1128/19/421 1129/19/422 1104/19/422 1106/19/421 \nf 1129/19/422 1130/19/423 1102/19/423 1104/19/422 \nf 1102/19/423 1130/19/423 1131/19/424 1100/19/424 \nf 1100/19/424 1131/19/424 1132/19/425 1099/19/425 \nf 1099/19/425 1132/19/425 1133/19/426 1098/19/426 \nf 1098/19/426 1133/19/426 1134/19/427 1097/19/427 \nf 1097/19/427 1134/19/427 1135/19/428 1101/19/428 \nf 1101/19/428 1135/19/428 1136/19/429 1103/19/429 \nf 1136/19/429 1137/19/430 1105/19/430 1103/19/429 \nf 1137/19/430 1138/19/431 1107/19/431 1105/19/430 \nf 1138/19/431 1139/19/432 1109/19/432 1107/19/431 \nf 1139/19/432 1140/19/433 1111/19/433 1109/19/432 \nf 1140/19/433 1141/19/434 1113/19/434 1111/19/433 \nf 1141/19/434 1142/19/435 1115/19/435 1113/19/434 \nf 1143/19/436 1117/19/436 1115/19/435 1142/19/435 \nf 1144/19/437 1119/19/437 1117/19/436 1143/19/436 \nf 1121/19/414 1120/19/414 1119/19/437 1144/19/437 \n# 35 polygons\n\n#\n# object Component_2_004\n#\n\nv  -4217.2612 36.4451 -4253.7080\nv  -4253.7065 8507.4121 -4253.7065\nv  -4253.7065 0.0000 -4253.7080\nv  4253.7056 0.0000 -4253.7031\nv  4217.2612 36.4451 -4253.7031\nv  4217.2612 8470.9678 -4253.7017\nv  4253.7056 8507.4121 -4253.7017\nv  -4217.2612 8470.9678 -4253.7065\nv  -3990.9297 625.0390 -4253.7075\nv  -3979.0835 535.0574 -4253.7080\nv  -3944.3518 451.2078 -4253.7075\nv  -3889.1018 379.2045 -4253.7075\nv  -3817.0986 323.9545 -4253.7075\nv  -3733.2490 289.2228 -4253.7075\nv  -3643.2673 277.3766 -4253.7075\nv  -3553.2856 289.2228 -4253.7075\nv  -3469.4360 323.9545 -4253.7075\nv  -3397.4326 379.2045 -4253.7075\nv  -3342.1826 451.2078 -4253.7075\nv  -3307.4512 535.0574 -4253.7075\nv  -3295.6047 625.0390 -4253.7075\nv  3560.6118 292.7784 -4253.7036\nv  3650.5933 280.9320 -4253.7036\nv  3740.5752 292.7784 -4253.7036\nv  3824.4243 327.5100 -4253.7036\nv  3896.4277 382.7600 -4253.7031\nv  3951.6782 454.7633 -4253.7031\nv  3986.4097 538.6129 -4253.7031\nv  3998.2554 628.5945 -4253.7031\nv  4001.4116 7934.3867 -4253.7021\nv  3989.5649 8024.3682 -4253.7021\nv  3954.8345 8108.2183 -4253.7021\nv  3899.5840 8180.2217 -4253.7021\nv  3827.5806 8235.4707 -4253.7021\nv  3743.7310 8270.2031 -4253.7021\nv  3653.7495 8282.0498 -4253.7021\nv  3563.7671 8270.2031 -4253.7021\nv  -3295.1416 7944.8716 -4253.7061\nv  -3306.9878 8034.8530 -4253.7061\nv  -3341.7195 8118.7026 -4253.7061\nv  -3396.9695 8190.7061 -4253.7061\nv  -3468.9729 8245.9561 -4253.7061\nv  -3552.8223 8280.6875 -4253.7061\nv  -3642.8042 8292.5342 -4253.7065\nv  -3732.7856 8280.6875 -4253.7065\nv  -3816.6353 8245.9561 -4253.7065\nv  -3888.6387 8190.7061 -4253.7065\nv  -3943.8887 8118.7026 -4253.7065\nv  -3978.6201 8034.8530 -4253.7065\nv  -3990.4666 7944.8716 -4253.7065\nv  -3979.0835 715.0208 -4253.7075\nv  -3978.6201 7854.8896 -4253.7065\nv  -3944.3518 798.8702 -4253.7075\nv  -3943.8887 7771.0400 -4253.7065\nv  -3889.1018 870.8736 -4253.7075\nv  -3888.6387 7699.0371 -4253.7065\nv  -3817.0986 926.1236 -4253.7075\nv  -3816.6353 7643.7866 -4253.7065\nv  -3733.2490 960.8552 -4253.7075\nv  -3732.7856 7609.0557 -4253.7065\nv  -3643.2673 972.7015 -4253.7075\nv  -3642.8042 7597.2090 -4253.7065\nv  -3553.2856 960.8552 -4253.7075\nv  -3552.8223 7609.0557 -4253.7065\nv  -3469.4360 926.1236 -4253.7075\nv  -3468.9729 7643.7866 -4253.7065\nv  -3397.4326 870.8736 -4253.7075\nv  -3396.9695 7699.0371 -4253.7061\nv  -3342.1826 798.8702 -4253.7075\nv  -3341.7195 7771.0400 -4253.7061\nv  -3307.4512 715.0208 -4253.7075\nv  -3306.9878 7854.8896 -4253.7061\nv  3404.7583 382.7600 -4253.7036\nv  3476.7617 327.5100 -4253.7036\nv  3349.5083 454.7633 -4253.7036\nv  3314.7773 538.6129 -4253.7036\nv  3302.9307 628.5945 -4253.7036\nv  3306.0869 7934.3867 -4253.7026\nv  3317.9326 8024.3682 -4253.7026\nv  3352.6646 8108.2183 -4253.7026\nv  3407.9150 8180.2217 -4253.7021\nv  3479.9180 8235.4707 -4253.7021\nv  3314.7773 718.5762 -4253.7036\nv  3317.9326 7844.4048 -4253.7026\nv  3349.5083 802.4258 -4253.7036\nv  3352.6646 7760.5557 -4253.7026\nv  3404.7583 874.4291 -4253.7036\nv  3407.9150 7688.5522 -4253.7026\nv  3476.7617 929.6791 -4253.7036\nv  3479.9180 7633.3022 -4253.7026\nv  3560.6118 964.4107 -4253.7036\nv  3563.7671 7598.5703 -4253.7021\nv  3650.5933 976.2571 -4253.7036\nv  3653.7495 7586.7246 -4253.7021\nv  3740.5752 964.4107 -4253.7031\nv  3743.7310 7598.5703 -4253.7021\nv  3824.4243 929.6791 -4253.7031\nv  3827.5806 7633.3022 -4253.7021\nv  3896.4277 874.4291 -4253.7031\nv  3899.5840 7688.5522 -4253.7021\nv  3951.6782 802.4258 -4253.7031\nv  3954.8345 7760.5557 -4253.7021\nv  3986.4097 718.5762 -4253.7031\nv  3989.5649 7844.4048 -4253.7021\n# 104 vertices\n\nvn 0.0000 0.0000 -1.0000\n# 1 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_2_004\nusemtl wire_224198087\ns off\nf 1148/20/438 1147/20/438 1146/20/438 1145/20/438 \nf 1150/20/438 1148/20/438 1145/20/438 1149/20/438 \nf 1152/20/438 1151/20/438 1148/20/438 1150/20/438 \nf 1145/20/438 1146/20/438 1151/20/438 1152/20/438 \nf 1154/20/438 1145/20/438 1152/20/438 1153/20/438 \nf 1156/20/438 1145/20/438 1154/20/438 1155/20/438 \nf 1158/20/438 1145/20/438 1156/20/438 1157/20/438 \nf 1149/20/438 1145/20/438 1158/20/438 1159/20/438 \nf 1161/20/438 1149/20/438 1159/20/438 1160/20/438 \nf 1163/20/438 1149/20/438 1161/20/438 1162/20/438 \nf 1165/20/438 1149/20/438 1163/20/438 1164/20/438 \nf 1167/20/438 1149/20/438 1165/20/438 1166/20/438 \nf 1169/20/438 1149/20/438 1167/20/438 1168/20/438 \nf 1171/20/438 1149/20/438 1169/20/438 1170/20/438 \nf 1173/20/438 1149/20/438 1171/20/438 1172/20/438 \nf 1150/20/438 1149/20/438 1173/20/438 1174/20/438 \nf 1176/20/438 1150/20/438 1174/20/438 1175/20/438 \nf 1178/20/438 1150/20/438 1176/20/438 1177/20/438 \nf 1180/20/438 1150/20/438 1178/20/438 1179/20/438 \nf 1182/20/438 1150/20/438 1180/20/438 1181/20/438 \nf 1184/20/438 1150/20/438 1182/20/438 1183/20/438 \nf 1186/20/438 1150/20/438 1184/20/438 1185/20/438 \nf 1188/20/438 1150/20/438 1186/20/438 1187/20/438 \nf 1189/20/438 1152/20/438 1150/20/438 1188/20/438 \nf 1191/20/438 1152/20/438 1189/20/438 1190/20/438 \nf 1193/20/438 1152/20/438 1191/20/438 1192/20/438 \nf 1153/20/438 1152/20/438 1193/20/438 1194/20/438 \nf 1196/20/438 1195/20/438 1153/20/438 1194/20/438 \nf 1198/20/438 1197/20/438 1195/20/438 1196/20/438 \nf 1200/20/438 1199/20/438 1197/20/438 1198/20/438 \nf 1202/20/438 1201/20/438 1199/20/438 1200/20/438 \nf 1204/20/438 1203/20/438 1201/20/438 1202/20/438 \nf 1206/20/438 1205/20/438 1203/20/438 1204/20/438 \nf 1208/20/438 1207/20/438 1205/20/438 1206/20/438 \nf 1210/20/438 1209/20/438 1207/20/438 1208/20/438 \nf 1212/20/438 1211/20/438 1209/20/438 1210/20/438 \nf 1214/20/438 1213/20/438 1211/20/438 1212/20/438 \nf 1216/20/438 1215/20/438 1213/20/438 1214/20/438 \nf 1182/20/438 1165/20/438 1215/20/438 1216/20/438 \nf 1218/20/438 1165/20/438 1182/20/438 1217/20/438 \nf 1218/20/438 1166/20/438 1165/20/438 \nf 1220/20/438 1219/20/438 1217/20/438 1182/20/438 \nf 1222/20/438 1221/20/438 1220/20/438 1182/20/438 \nf 1224/20/438 1223/20/438 1222/20/438 1182/20/438 \nf 1226/20/438 1225/20/438 1224/20/438 1182/20/438 \nf 1226/20/438 1182/20/438 1181/20/438 \nf 1228/20/438 1227/20/438 1221/20/438 1222/20/438 \nf 1230/20/438 1229/20/438 1227/20/438 1228/20/438 \nf 1232/20/438 1231/20/438 1229/20/438 1230/20/438 \nf 1234/20/438 1233/20/438 1231/20/438 1232/20/438 \nf 1236/20/438 1235/20/438 1233/20/438 1234/20/438 \nf 1238/20/438 1237/20/438 1235/20/438 1236/20/438 \nf 1240/20/438 1239/20/438 1237/20/438 1238/20/438 \nf 1242/20/438 1241/20/438 1239/20/438 1240/20/438 \nf 1244/20/438 1243/20/438 1241/20/438 1242/20/438 \nf 1246/20/438 1245/20/438 1243/20/438 1244/20/438 \nf 1248/20/438 1247/20/438 1245/20/438 1246/20/438 \nf 1174/20/438 1173/20/438 1247/20/438 1248/20/438 \n# 56 polygons - 2 triangles\n\n#\n# object Component_1_012\n#\n\nv  4155.2822 7568.4834 3715.0935\nv  4155.2822 7556.6372 3625.1118\nv  4155.2822 7568.4834 3535.1301\nv  4155.2822 7603.2153 3451.2808\nv  4155.2822 7603.2153 3798.9431\nv  4155.2822 7658.4653 3379.2773\nv  4155.2822 7658.4653 3870.9463\nv  4155.2822 7730.4683 3324.0273\nv  4155.2822 7730.4683 3926.1963\nv  4155.2822 7814.3179 3289.2957\nv  4155.2822 7814.3179 3960.9280\nv  4155.2822 7904.2998 3277.4492\nv  4155.2822 7904.2998 3972.7744\nv  4155.2822 7994.2813 3289.2957\nv  4155.2822 7994.2813 3960.9280\nv  4155.2822 8078.1309 3324.0273\nv  4155.2822 8078.1309 3926.1963\nv  4155.2822 8150.1343 3379.2773\nv  4155.2822 8150.1343 3870.9463\nv  4155.2822 8205.3838 3451.2805\nv  4155.2822 8205.3848 3798.9431\nv  4155.2822 8240.1162 3535.1301\nv  4155.2822 8240.1162 3715.0935\nv  4155.2822 8251.9619 3625.1118\nv  4253.7070 8251.9619 3625.1118\nv  4253.7075 8240.1162 3535.1301\nv  4253.7075 8205.3838 3451.2808\nv  4253.7075 8150.1343 3379.2773\nv  4253.7075 8078.1309 3324.0273\nv  4253.7075 7994.2813 3289.2957\nv  4253.7075 7904.2998 3277.4495\nv  4253.7075 7814.3179 3289.2957\nv  4253.7075 7730.4683 3324.0273\nv  4253.7075 7658.4653 3379.2773\nv  4253.7075 7603.2153 3451.2808\nv  4253.7075 7568.4834 3535.1304\nv  4253.7070 7556.6372 3625.1118\nv  4253.7070 7568.4834 3715.0935\nv  4253.7070 7603.2153 3798.9431\nv  4253.7070 7658.4653 3870.9465\nv  4253.7070 7730.4683 3926.1965\nv  4253.7070 7814.3179 3960.9280\nv  4253.7070 7904.2998 3972.7744\nv  4253.7070 7994.2813 3960.9280\nv  4253.7070 8078.1309 3926.1965\nv  4253.7070 8150.1343 3870.9463\nv  4253.7070 8205.3848 3798.9431\nv  4253.7070 8240.1162 3715.0935\n# 48 vertices\n\nvn -1.0000 -0.0000 -0.0000\nvn 0.0000 1.0000 -0.0000\nvn 0.0000 0.9659 -0.2588\nvn 0.0000 0.8660 -0.5000\nvn 0.0000 0.7071 -0.7071\nvn 0.0000 0.5000 -0.8660\nvn 0.0000 0.2588 -0.9659\nvn 0.0000 -0.0000 -1.0000\nvn 0.0000 -0.2588 -0.9659\nvn 0.0000 -0.5000 -0.8660\nvn 0.0000 -0.7071 -0.7071\nvn 0.0000 -0.8660 -0.5000\nvn 0.0000 -0.9659 -0.2588\nvn -0.0000 -1.0000 0.0000\nvn -0.0000 -0.9659 0.2588\nvn -0.0000 -0.8660 0.5000\nvn -0.0000 -0.7071 0.7071\nvn -0.0000 -0.5000 0.8660\nvn -0.0000 -0.2588 0.9659\nvn -0.0000 0.0000 1.0000\nvn -0.0000 0.2588 0.9659\nvn -0.0000 0.5000 0.8660\nvn -0.0000 0.7071 0.7071\nvn -0.0000 0.8660 0.5000\nvn -0.0000 0.9659 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_012\nusemtl wire_134006006\ns off\nf 1252/21/439 1251/21/439 1250/21/439 1249/21/439 \nf 1254/21/439 1252/21/439 1249/21/439 1253/21/439 \nf 1256/21/439 1254/21/439 1253/21/439 1255/21/439 \nf 1258/21/439 1256/21/439 1255/21/439 1257/21/439 \nf 1260/21/439 1258/21/439 1257/21/439 1259/21/439 \nf 1262/21/439 1260/21/439 1259/21/439 1261/21/439 \nf 1264/21/439 1262/21/439 1261/21/439 1263/21/439 \nf 1266/21/439 1264/21/439 1263/21/439 1265/21/439 \nf 1268/21/439 1266/21/439 1265/21/439 1267/21/439 \nf 1270/21/439 1268/21/439 1267/21/439 1269/21/439 \nf 1272/21/439 1270/21/439 1269/21/439 1271/21/439 \nf 1274/21/441 1270/21/441 1272/21/440 1273/21/440 \nf 1275/21/442 1268/21/442 1270/21/441 1274/21/441 \nf 1276/21/443 1266/21/443 1268/21/442 1275/21/442 \nf 1276/21/443 1277/21/444 1264/21/444 1266/21/443 \nf 1277/21/444 1278/21/445 1262/21/445 1264/21/444 \nf 1278/21/445 1279/21/446 1260/21/446 1262/21/445 \nf 1279/21/446 1280/21/447 1258/21/447 1260/21/446 \nf 1280/21/447 1281/21/448 1256/21/448 1258/21/447 \nf 1281/21/448 1282/21/449 1254/21/449 1256/21/448 \nf 1254/21/449 1282/21/449 1283/21/450 1252/21/450 \nf 1252/21/450 1283/21/450 1284/21/451 1251/21/451 \nf 1251/21/451 1284/21/451 1285/21/452 1250/21/452 \nf 1250/21/452 1285/21/452 1286/21/453 1249/21/453 \nf 1249/21/453 1286/21/453 1287/21/454 1253/21/454 \nf 1253/21/454 1287/21/454 1288/21/455 1255/21/455 \nf 1288/21/455 1289/21/456 1257/21/456 1255/21/455 \nf 1289/21/456 1290/21/457 1259/21/457 1257/21/456 \nf 1290/21/457 1291/21/458 1261/21/458 1259/21/457 \nf 1291/21/458 1292/21/459 1263/21/459 1261/21/458 \nf 1292/21/459 1293/21/460 1265/21/460 1263/21/459 \nf 1293/21/460 1294/21/461 1267/21/461 1265/21/460 \nf 1295/21/462 1269/21/462 1267/21/461 1294/21/461 \nf 1296/21/463 1271/21/463 1269/21/462 1295/21/462 \nf 1273/21/440 1272/21/440 1271/21/463 1296/21/463 \n# 35 polygons\n\n#\n# object Component_1_011\n#\n\nv  4155.2822 274.6232 3718.6492\nv  4155.2822 262.7769 3628.6675\nv  4155.2822 274.6232 3538.6858\nv  4155.2822 309.3549 3454.8364\nv  4155.2822 309.3549 3802.4988\nv  4155.2822 364.6049 3382.8330\nv  4155.2822 364.6049 3874.5020\nv  4155.2822 436.6082 3327.5830\nv  4155.2822 436.6082 3929.7520\nv  4155.2822 520.4577 3292.8513\nv  4155.2822 520.4578 3964.4836\nv  4155.2822 610.4394 3281.0049\nv  4155.2822 610.4395 3976.3301\nv  4155.2822 700.4210 3292.8513\nv  4155.2822 700.4211 3964.4836\nv  4155.2822 784.2706 3327.5830\nv  4155.2822 784.2706 3929.7520\nv  4155.2822 856.2739 3382.8330\nv  4155.2822 856.2739 3874.5020\nv  4155.2822 911.5239 3454.8362\nv  4155.2822 911.5240 3802.4988\nv  4155.2822 946.2556 3538.6858\nv  4155.2822 946.2556 3718.6492\nv  4155.2822 958.1019 3628.6675\nv  4253.7070 958.1019 3628.6675\nv  4253.7075 946.2556 3538.6858\nv  4253.7075 911.5239 3454.8364\nv  4253.7075 856.2739 3382.8330\nv  4253.7075 784.2706 3327.5830\nv  4253.7075 700.4210 3292.8513\nv  4253.7075 610.4394 3281.0051\nv  4253.7075 520.4577 3292.8513\nv  4253.7075 436.6082 3327.5830\nv  4253.7075 364.6049 3382.8330\nv  4253.7075 309.3549 3454.8364\nv  4253.7075 274.6232 3538.6860\nv  4253.7070 262.7769 3628.6675\nv  4253.7070 274.6232 3718.6492\nv  4253.7070 309.3549 3802.4988\nv  4253.7070 364.6049 3874.5022\nv  4253.7070 436.6082 3929.7522\nv  4253.7070 520.4578 3964.4836\nv  4253.7070 610.4395 3976.3301\nv  4253.7070 700.4211 3964.4836\nv  4253.7070 784.2706 3929.7522\nv  4253.7070 856.2739 3874.5020\nv  4253.7070 911.5240 3802.4988\nv  4253.7070 946.2556 3718.6492\n# 48 vertices\n\nvn -1.0000 -0.0000 -0.0000\nvn 0.0000 1.0000 -0.0000\nvn 0.0000 0.9659 -0.2588\nvn 0.0000 0.8660 -0.5000\nvn 0.0000 0.7071 -0.7071\nvn 0.0000 0.5000 -0.8660\nvn 0.0000 0.2588 -0.9659\nvn 0.0000 -0.0000 -1.0000\nvn 0.0000 -0.2588 -0.9659\nvn 0.0000 -0.5000 -0.8660\nvn 0.0000 -0.7071 -0.7071\nvn 0.0000 -0.8660 -0.5000\nvn 0.0000 -0.9659 -0.2588\nvn -0.0000 -1.0000 0.0000\nvn -0.0000 -0.9659 0.2588\nvn -0.0000 -0.8660 0.5000\nvn -0.0000 -0.7071 0.7071\nvn -0.0000 -0.5000 0.8660\nvn -0.0000 -0.2588 0.9659\nvn -0.0000 0.0000 1.0000\nvn -0.0000 0.2588 0.9659\nvn -0.0000 0.5000 0.8660\nvn -0.0000 0.7071 0.7071\nvn -0.0000 0.8660 0.5000\nvn -0.0000 0.9659 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_011\nusemtl wire_006134006\ns off\nf 1300/22/464 1299/22/464 1298/22/464 1297/22/464 \nf 1302/22/464 1300/22/464 1297/22/464 1301/22/464 \nf 1304/22/464 1302/22/464 1301/22/464 1303/22/464 \nf 1306/22/464 1304/22/464 1303/22/464 1305/22/464 \nf 1308/22/464 1306/22/464 1305/22/464 1307/22/464 \nf 1310/22/464 1308/22/464 1307/22/464 1309/22/464 \nf 1312/22/464 1310/22/464 1309/22/464 1311/22/464 \nf 1314/22/464 1312/22/464 1311/22/464 1313/22/464 \nf 1316/22/464 1314/22/464 1313/22/464 1315/22/464 \nf 1318/22/464 1316/22/464 1315/22/464 1317/22/464 \nf 1320/22/464 1318/22/464 1317/22/464 1319/22/464 \nf 1322/22/466 1318/22/466 1320/22/465 1321/22/465 \nf 1323/22/467 1316/22/467 1318/22/466 1322/22/466 \nf 1324/22/468 1314/22/468 1316/22/467 1323/22/467 \nf 1324/22/468 1325/22/469 1312/22/469 1314/22/468 \nf 1325/22/469 1326/22/470 1310/22/470 1312/22/469 \nf 1326/22/470 1327/22/471 1308/22/471 1310/22/470 \nf 1327/22/471 1328/22/472 1306/22/472 1308/22/471 \nf 1328/22/472 1329/22/473 1304/22/473 1306/22/472 \nf 1329/22/473 1330/22/474 1302/22/474 1304/22/473 \nf 1302/22/474 1330/22/474 1331/22/475 1300/22/475 \nf 1300/22/475 1331/22/475 1332/22/476 1299/22/476 \nf 1299/22/476 1332/22/476 1333/22/477 1298/22/477 \nf 1298/22/477 1333/22/477 1334/22/478 1297/22/478 \nf 1297/22/478 1334/22/478 1335/22/479 1301/22/479 \nf 1301/22/479 1335/22/479 1336/22/480 1303/22/480 \nf 1336/22/480 1337/22/481 1305/22/481 1303/22/480 \nf 1337/22/481 1338/22/482 1307/22/482 1305/22/481 \nf 1338/22/482 1339/22/483 1309/22/483 1307/22/482 \nf 1339/22/483 1340/22/484 1311/22/484 1309/22/483 \nf 1340/22/484 1341/22/485 1313/22/485 1311/22/484 \nf 1341/22/485 1342/22/486 1315/22/486 1313/22/485 \nf 1343/22/487 1317/22/487 1315/22/486 1342/22/486 \nf 1344/22/488 1319/22/488 1317/22/487 1343/22/487 \nf 1321/22/465 1320/22/465 1319/22/488 1344/22/488 \n# 35 polygons\n\n#\n# object Component_1_010\n#\n\nv  4155.2822 275.0865 -3601.1833\nv  4155.2822 263.2401 -3691.1650\nv  4155.2822 275.0865 -3781.1467\nv  4155.2822 309.8181 -3864.9961\nv  4155.2822 309.8181 -3517.3337\nv  4155.2822 365.0681 -3936.9995\nv  4155.2822 365.0681 -3445.3306\nv  4155.2822 437.0714 -3992.2495\nv  4155.2822 437.0714 -3390.0806\nv  4155.2822 520.9209 -4026.9812\nv  4155.2822 520.9210 -3355.3489\nv  4155.2822 610.9026 -4038.8276\nv  4155.2822 610.9027 -3343.5024\nv  4155.2822 700.8843 -4026.9812\nv  4155.2822 700.8843 -3355.3489\nv  4155.2822 784.7338 -3992.2495\nv  4155.2822 784.7339 -3390.0806\nv  4155.2822 856.7371 -3936.9995\nv  4155.2822 856.7372 -3445.3306\nv  4155.2822 911.9872 -3864.9963\nv  4155.2822 911.9872 -3517.3337\nv  4155.2822 946.7188 -3781.1467\nv  4155.2822 946.7189 -3601.1833\nv  4155.2822 958.5652 -3691.1650\nv  4253.7070 958.5652 -3691.1650\nv  4253.7075 946.7188 -3781.1467\nv  4253.7075 911.9872 -3864.9961\nv  4253.7075 856.7371 -3936.9995\nv  4253.7075 784.7338 -3992.2495\nv  4253.7075 700.8843 -4026.9812\nv  4253.7075 610.9026 -4038.8274\nv  4253.7075 520.9209 -4026.9812\nv  4253.7075 437.0714 -3992.2495\nv  4253.7075 365.0681 -3936.9995\nv  4253.7075 309.8181 -3864.9961\nv  4253.7075 275.0865 -3781.1465\nv  4253.7070 263.2401 -3691.1650\nv  4253.7070 275.0865 -3601.1833\nv  4253.7070 309.8181 -3517.3337\nv  4253.7070 365.0681 -3445.3303\nv  4253.7070 437.0714 -3390.0803\nv  4253.7070 520.9210 -3355.3489\nv  4253.7070 610.9027 -3343.5024\nv  4253.7070 700.8843 -3355.3489\nv  4253.7070 784.7339 -3390.0803\nv  4253.7070 856.7372 -3445.3306\nv  4253.7070 911.9872 -3517.3337\nv  4253.7070 946.7189 -3601.1833\n# 48 vertices\n\nvn -1.0000 -0.0000 -0.0000\nvn 0.0000 1.0000 -0.0000\nvn 0.0000 0.9659 -0.2588\nvn 0.0000 0.8660 -0.5000\nvn 0.0000 0.7071 -0.7071\nvn 0.0000 0.5000 -0.8660\nvn 0.0000 0.2588 -0.9659\nvn 0.0000 -0.0000 -1.0000\nvn 0.0000 -0.2588 -0.9659\nvn 0.0000 -0.5000 -0.8660\nvn 0.0000 -0.7071 -0.7071\nvn 0.0000 -0.8660 -0.5000\nvn 0.0000 -0.9659 -0.2588\nvn -0.0000 -1.0000 0.0000\nvn -0.0000 -0.9659 0.2588\nvn -0.0000 -0.8660 0.5000\nvn -0.0000 -0.7071 0.7071\nvn -0.0000 -0.5000 0.8660\nvn -0.0000 -0.2588 0.9659\nvn -0.0000 0.0000 1.0000\nvn -0.0000 0.2588 0.9659\nvn -0.0000 0.5000 0.8660\nvn -0.0000 0.7071 0.7071\nvn -0.0000 0.8660 0.5000\nvn -0.0000 0.9659 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_010\nusemtl wire_087224198\ns off\nf 1348/23/489 1347/23/489 1346/23/489 1345/23/489 \nf 1350/23/489 1348/23/489 1345/23/489 1349/23/489 \nf 1352/23/489 1350/23/489 1349/23/489 1351/23/489 \nf 1354/23/489 1352/23/489 1351/23/489 1353/23/489 \nf 1356/23/489 1354/23/489 1353/23/489 1355/23/489 \nf 1358/23/489 1356/23/489 1355/23/489 1357/23/489 \nf 1360/23/489 1358/23/489 1357/23/489 1359/23/489 \nf 1362/23/489 1360/23/489 1359/23/489 1361/23/489 \nf 1364/23/489 1362/23/489 1361/23/489 1363/23/489 \nf 1366/23/489 1364/23/489 1363/23/489 1365/23/489 \nf 1368/23/489 1366/23/489 1365/23/489 1367/23/489 \nf 1370/23/491 1366/23/491 1368/23/490 1369/23/490 \nf 1371/23/492 1364/23/492 1366/23/491 1370/23/491 \nf 1372/23/493 1362/23/493 1364/23/492 1371/23/492 \nf 1372/23/493 1373/23/494 1360/23/494 1362/23/493 \nf 1373/23/494 1374/23/495 1358/23/495 1360/23/494 \nf 1374/23/495 1375/23/496 1356/23/496 1358/23/495 \nf 1375/23/496 1376/23/497 1354/23/497 1356/23/496 \nf 1376/23/497 1377/23/498 1352/23/498 1354/23/497 \nf 1377/23/498 1378/23/499 1350/23/499 1352/23/498 \nf 1350/23/499 1378/23/499 1379/23/500 1348/23/500 \nf 1348/23/500 1379/23/500 1380/23/501 1347/23/501 \nf 1347/23/501 1380/23/501 1381/23/502 1346/23/502 \nf 1346/23/502 1381/23/502 1382/23/503 1345/23/503 \nf 1345/23/503 1382/23/503 1383/23/504 1349/23/504 \nf 1349/23/504 1383/23/504 1384/23/505 1351/23/505 \nf 1384/23/505 1385/23/506 1353/23/506 1351/23/505 \nf 1385/23/506 1386/23/507 1355/23/507 1353/23/506 \nf 1386/23/507 1387/23/508 1357/23/508 1355/23/507 \nf 1387/23/508 1388/23/509 1359/23/509 1357/23/508 \nf 1388/23/509 1389/23/510 1361/23/510 1359/23/509 \nf 1389/23/510 1390/23/511 1363/23/511 1361/23/510 \nf 1391/23/512 1365/23/512 1363/23/511 1390/23/511 \nf 1392/23/513 1367/23/513 1365/23/512 1391/23/512 \nf 1369/23/490 1368/23/490 1367/23/513 1392/23/513 \n# 35 polygons\n\n#\n# object Component_1_009\n#\n\nv  4155.2822 7571.6396 -3590.6990\nv  4155.2822 7559.7935 -3680.6807\nv  4155.2822 7571.6396 -3770.6624\nv  4155.2822 7606.3716 -3854.5117\nv  4155.2822 7606.3716 -3506.8494\nv  4155.2822 7661.6216 -3926.5151\nv  4155.2822 7661.6216 -3434.8462\nv  4155.2822 7733.6245 -3981.7651\nv  4155.2822 7733.6245 -3379.5962\nv  4155.2822 7817.4741 -4016.4968\nv  4155.2822 7817.4741 -3344.8645\nv  4155.2822 7907.4561 -4028.3433\nv  4155.2822 7907.4561 -3333.0181\nv  4155.2822 7997.4375 -4016.4968\nv  4155.2822 7997.4375 -3344.8645\nv  4155.2822 8081.2871 -3981.7651\nv  4155.2822 8081.2871 -3379.5962\nv  4155.2822 8153.2905 -3926.5151\nv  4155.2822 8153.2905 -3434.8462\nv  4155.2822 8208.5400 -3854.5120\nv  4155.2822 8208.5410 -3506.8494\nv  4155.2822 8243.2725 -3770.6624\nv  4155.2822 8243.2725 -3590.6990\nv  4155.2822 8255.1182 -3680.6807\nv  4253.7070 8255.1182 -3680.6807\nv  4253.7075 8243.2725 -3770.6624\nv  4253.7075 8208.5400 -3854.5117\nv  4253.7075 8153.2905 -3926.5151\nv  4253.7075 8081.2871 -3981.7651\nv  4253.7075 7997.4375 -4016.4968\nv  4253.7075 7907.4561 -4028.3430\nv  4253.7075 7817.4741 -4016.4968\nv  4253.7075 7733.6245 -3981.7651\nv  4253.7075 7661.6216 -3926.5151\nv  4253.7075 7606.3716 -3854.5117\nv  4253.7075 7571.6396 -3770.6621\nv  4253.7070 7559.7935 -3680.6807\nv  4253.7070 7571.6396 -3590.6990\nv  4253.7070 7606.3716 -3506.8494\nv  4253.7070 7661.6216 -3434.8459\nv  4253.7070 7733.6245 -3379.5959\nv  4253.7070 7817.4741 -3344.8645\nv  4253.7070 7907.4561 -3333.0181\nv  4253.7070 7997.4375 -3344.8645\nv  4253.7070 8081.2871 -3379.5959\nv  4253.7070 8153.2905 -3434.8462\nv  4253.7070 8208.5410 -3506.8494\nv  4253.7070 8243.2725 -3590.6990\n# 48 vertices\n\nvn -1.0000 -0.0000 -0.0000\nvn 0.0000 1.0000 -0.0000\nvn 0.0000 0.9659 -0.2588\nvn 0.0000 0.8660 -0.5000\nvn 0.0000 0.7071 -0.7071\nvn 0.0000 0.5000 -0.8660\nvn 0.0000 0.2588 -0.9659\nvn 0.0000 -0.0000 -1.0000\nvn 0.0000 -0.2588 -0.9659\nvn 0.0000 -0.5000 -0.8660\nvn 0.0000 -0.7071 -0.7071\nvn 0.0000 -0.8660 -0.5000\nvn 0.0000 -0.9659 -0.2588\nvn -0.0000 -1.0000 0.0000\nvn -0.0000 -0.9659 0.2588\nvn -0.0000 -0.8660 0.5000\nvn -0.0000 -0.7071 0.7071\nvn -0.0000 -0.5000 0.8660\nvn -0.0000 -0.2588 0.9659\nvn -0.0000 0.0000 1.0000\nvn -0.0000 0.2588 0.9659\nvn -0.0000 0.5000 0.8660\nvn -0.0000 0.7071 0.7071\nvn -0.0000 0.8660 0.5000\nvn -0.0000 0.9659 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_009\nusemtl wire_224086086\ns off\nf 1396/24/514 1395/24/514 1394/24/514 1393/24/514 \nf 1398/24/514 1396/24/514 1393/24/514 1397/24/514 \nf 1400/24/514 1398/24/514 1397/24/514 1399/24/514 \nf 1402/24/514 1400/24/514 1399/24/514 1401/24/514 \nf 1404/24/514 1402/24/514 1401/24/514 1403/24/514 \nf 1406/24/514 1404/24/514 1403/24/514 1405/24/514 \nf 1408/24/514 1406/24/514 1405/24/514 1407/24/514 \nf 1410/24/514 1408/24/514 1407/24/514 1409/24/514 \nf 1412/24/514 1410/24/514 1409/24/514 1411/24/514 \nf 1414/24/514 1412/24/514 1411/24/514 1413/24/514 \nf 1416/24/514 1414/24/514 1413/24/514 1415/24/514 \nf 1418/24/516 1414/24/516 1416/24/515 1417/24/515 \nf 1419/24/517 1412/24/517 1414/24/516 1418/24/516 \nf 1420/24/518 1410/24/518 1412/24/517 1419/24/517 \nf 1420/24/518 1421/24/519 1408/24/519 1410/24/518 \nf 1421/24/519 1422/24/520 1406/24/520 1408/24/519 \nf 1422/24/520 1423/24/521 1404/24/521 1406/24/520 \nf 1423/24/521 1424/24/522 1402/24/522 1404/24/521 \nf 1424/24/522 1425/24/523 1400/24/523 1402/24/522 \nf 1425/24/523 1426/24/524 1398/24/524 1400/24/523 \nf 1398/24/524 1426/24/524 1427/24/525 1396/24/525 \nf 1396/24/525 1427/24/525 1428/24/526 1395/24/526 \nf 1395/24/526 1428/24/526 1429/24/527 1394/24/527 \nf 1394/24/527 1429/24/527 1430/24/528 1393/24/528 \nf 1393/24/528 1430/24/528 1431/24/529 1397/24/529 \nf 1397/24/529 1431/24/529 1432/24/530 1399/24/530 \nf 1432/24/530 1433/24/531 1401/24/531 1399/24/530 \nf 1433/24/531 1434/24/532 1403/24/532 1401/24/531 \nf 1434/24/532 1435/24/533 1405/24/533 1403/24/532 \nf 1435/24/533 1436/24/534 1407/24/534 1405/24/533 \nf 1436/24/534 1437/24/535 1409/24/535 1407/24/534 \nf 1437/24/535 1438/24/536 1411/24/536 1409/24/535 \nf 1439/24/537 1413/24/537 1411/24/536 1438/24/536 \nf 1440/24/538 1415/24/538 1413/24/537 1439/24/537 \nf 1417/24/515 1416/24/515 1415/24/538 1440/24/538 \n# 35 polygons\n\n#\n# object Component_2_003\n#\n\nv  4253.7051 36.4456 4217.2622\nv  4253.7100 -0.0002 -4253.7046\nv  4253.7051 0.0005 4253.7075\nv  4253.7051 8507.4121 4253.7070\nv  4253.7051 8470.9688 4217.2617\nv  4253.7100 8470.9668 -4217.2612\nv  4253.7100 8507.4121 -4253.7056\nv  4253.7100 36.4450 -4217.2603\nv  4253.7056 262.7772 3628.6685\nv  4253.7056 274.6236 3718.6501\nv  4253.7056 309.3552 3802.4998\nv  4253.7051 364.6052 3874.5029\nv  4253.7051 436.6085 3929.7529\nv  4253.7051 520.4581 3964.4846\nv  4253.7051 610.4398 3976.3308\nv  4253.7051 700.4214 3964.4846\nv  4253.7051 784.2710 3929.7529\nv  4253.7051 856.2743 3874.5029\nv  4253.7056 911.5242 3802.4998\nv  4253.7056 946.2559 3718.6501\nv  4253.7056 958.1022 3628.6685\nv  4253.7051 7814.3188 3960.9285\nv  4253.7051 7904.3003 3972.7749\nv  4253.7051 7994.2822 3960.9285\nv  4253.7051 8078.1313 3926.1968\nv  4253.7051 8150.1348 3870.9468\nv  4253.7056 8205.3848 3798.9436\nv  4253.7056 8240.1172 3715.0940\nv  4253.7056 8251.9629 3625.1123\nv  4253.7095 8255.1172 -3680.6797\nv  4253.7095 8243.2715 -3770.6611\nv  4253.7095 8208.5410 -3854.5112\nv  4253.7095 8153.2905 -3926.5146\nv  4253.7100 8081.2871 -3981.7642\nv  4253.7100 7997.4375 -4016.4966\nv  4253.7100 7907.4561 -4028.3433\nv  4253.7100 7817.4736 -4016.4966\nv  4253.7095 958.5649 -3691.1641\nv  4253.7095 946.7185 -3781.1455\nv  4253.7095 911.9869 -3864.9951\nv  4253.7095 856.7369 -3936.9985\nv  4253.7100 784.7336 -3992.2485\nv  4253.7100 700.8841 -4026.9800\nv  4253.7100 610.9023 -4038.8267\nv  4253.7100 520.9207 -4026.9800\nv  4253.7100 437.0711 -3992.2485\nv  4253.7095 365.0679 -3936.9985\nv  4253.7095 309.8178 -3864.9951\nv  4253.7095 275.0862 -3781.1455\nv  4253.7095 263.2399 -3691.1641\nv  4253.7056 274.6235 3538.6868\nv  4253.7095 275.0862 -3601.1821\nv  4253.7056 309.3552 3454.8374\nv  4253.7095 309.8179 -3517.3325\nv  4253.7056 364.6052 3382.8340\nv  4253.7095 365.0679 -3445.3296\nv  4253.7056 436.6085 3327.5840\nv  4253.7095 437.0711 -3390.0791\nv  4253.7056 520.4581 3292.8523\nv  4253.7095 520.9208 -3355.3481\nv  4253.7056 610.4397 3281.0059\nv  4253.7095 610.9024 -3343.5015\nv  4253.7056 700.4214 3292.8523\nv  4253.7095 700.8842 -3355.3481\nv  4253.7056 784.2709 3327.5840\nv  4253.7095 784.7336 -3390.0791\nv  4253.7056 856.2742 3382.8340\nv  4253.7095 856.7369 -3445.3296\nv  4253.7056 911.5242 3454.8372\nv  4253.7095 911.9869 -3517.3325\nv  4253.7056 946.2559 3538.6868\nv  4253.7095 946.7185 -3601.1821\nv  4253.7051 7658.4653 3870.9468\nv  4253.7051 7730.4688 3926.1970\nv  4253.7056 7603.2153 3798.9436\nv  4253.7056 7568.4844 3715.0942\nv  4253.7056 7556.6377 3625.1123\nv  4253.7095 7559.7935 -3680.6797\nv  4253.7095 7571.6392 -3770.6611\nv  4253.7095 7606.3711 -3854.5112\nv  4253.7095 7661.6216 -3926.5146\nv  4253.7100 7733.6245 -3981.7642\nv  4253.7056 7568.4844 3535.1309\nv  4253.7095 7571.6392 -3590.6978\nv  4253.7056 7603.2153 3451.2813\nv  4253.7095 7606.3711 -3506.8486\nv  4253.7056 7658.4653 3379.2778\nv  4253.7095 7661.6216 -3434.8452\nv  4253.7056 7730.4688 3324.0278\nv  4253.7095 7733.6245 -3379.5952\nv  4253.7056 7814.3188 3289.2961\nv  4253.7095 7817.4736 -3344.8633\nv  4253.7056 7904.3003 3277.4497\nv  4253.7095 7907.4561 -3333.0176\nv  4253.7056 7994.2822 3289.2961\nv  4253.7095 7997.4375 -3344.8633\nv  4253.7056 8078.1313 3324.0278\nv  4253.7095 8081.2871 -3379.5952\nv  4253.7056 8150.1348 3379.2778\nv  4253.7095 8153.2905 -3434.8452\nv  4253.7056 8205.3848 3451.2810\nv  4253.7095 8208.5410 -3506.8486\nv  4253.7056 8240.1172 3535.1306\nv  4253.7095 8243.2715 -3590.6978\n# 104 vertices\n\nvn 1.0000 0.0000 0.0000\n# 1 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_2_003\nusemtl wire_134006006\ns off\nf 1444/25/539 1443/25/539 1442/25/539 1441/25/539 \nf 1446/25/539 1444/25/539 1441/25/539 1445/25/539 \nf 1448/25/539 1447/25/539 1444/25/539 1446/25/539 \nf 1441/25/539 1442/25/539 1447/25/539 1448/25/539 \nf 1450/25/539 1441/25/539 1448/25/539 1449/25/539 \nf 1452/25/539 1441/25/539 1450/25/539 1451/25/539 \nf 1454/25/539 1441/25/539 1452/25/539 1453/25/539 \nf 1445/25/539 1441/25/539 1454/25/539 1455/25/539 \nf 1457/25/539 1445/25/539 1455/25/539 1456/25/539 \nf 1459/25/539 1445/25/539 1457/25/539 1458/25/539 \nf 1461/25/539 1445/25/539 1459/25/539 1460/25/539 \nf 1463/25/539 1445/25/539 1461/25/539 1462/25/539 \nf 1465/25/539 1445/25/539 1463/25/539 1464/25/539 \nf 1467/25/539 1445/25/539 1465/25/539 1466/25/539 \nf 1469/25/539 1445/25/539 1467/25/539 1468/25/539 \nf 1446/25/539 1445/25/539 1469/25/539 1470/25/539 \nf 1472/25/539 1446/25/539 1470/25/539 1471/25/539 \nf 1474/25/539 1446/25/539 1472/25/539 1473/25/539 \nf 1476/25/539 1446/25/539 1474/25/539 1475/25/539 \nf 1478/25/539 1446/25/539 1476/25/539 1477/25/539 \nf 1480/25/539 1446/25/539 1478/25/539 1479/25/539 \nf 1482/25/539 1446/25/539 1480/25/539 1481/25/539 \nf 1484/25/539 1446/25/539 1482/25/539 1483/25/539 \nf 1485/25/539 1448/25/539 1446/25/539 1484/25/539 \nf 1487/25/539 1448/25/539 1485/25/539 1486/25/539 \nf 1489/25/539 1448/25/539 1487/25/539 1488/25/539 \nf 1449/25/539 1448/25/539 1489/25/539 1490/25/539 \nf 1492/25/539 1491/25/539 1449/25/539 1490/25/539 \nf 1494/25/539 1493/25/539 1491/25/539 1492/25/539 \nf 1496/25/539 1495/25/539 1493/25/539 1494/25/539 \nf 1498/25/539 1497/25/539 1495/25/539 1496/25/539 \nf 1500/25/539 1499/25/539 1497/25/539 1498/25/539 \nf 1502/25/539 1501/25/539 1499/25/539 1500/25/539 \nf 1504/25/539 1503/25/539 1501/25/539 1502/25/539 \nf 1506/25/539 1505/25/539 1503/25/539 1504/25/539 \nf 1508/25/539 1507/25/539 1505/25/539 1506/25/539 \nf 1510/25/539 1509/25/539 1507/25/539 1508/25/539 \nf 1512/25/539 1511/25/539 1509/25/539 1510/25/539 \nf 1478/25/539 1461/25/539 1511/25/539 1512/25/539 \nf 1514/25/539 1461/25/539 1478/25/539 1513/25/539 \nf 1514/25/539 1462/25/539 1461/25/539 \nf 1516/25/539 1515/25/539 1513/25/539 1478/25/539 \nf 1518/25/539 1517/25/539 1516/25/539 1478/25/539 \nf 1520/25/539 1519/25/539 1518/25/539 1478/25/539 \nf 1522/25/539 1521/25/539 1520/25/539 1478/25/539 \nf 1522/25/539 1478/25/539 1477/25/539 \nf 1524/25/539 1523/25/539 1517/25/539 1518/25/539 \nf 1526/25/539 1525/25/539 1523/25/539 1524/25/539 \nf 1528/25/539 1527/25/539 1525/25/539 1526/25/539 \nf 1530/25/539 1529/25/539 1527/25/539 1528/25/539 \nf 1532/25/539 1531/25/539 1529/25/539 1530/25/539 \nf 1534/25/539 1533/25/539 1531/25/539 1532/25/539 \nf 1536/25/539 1535/25/539 1533/25/539 1534/25/539 \nf 1538/25/539 1537/25/539 1535/25/539 1536/25/539 \nf 1540/25/539 1539/25/539 1537/25/539 1538/25/539 \nf 1542/25/539 1541/25/539 1539/25/539 1540/25/539 \nf 1544/25/539 1543/25/539 1541/25/539 1542/25/539 \nf 1470/25/539 1469/25/539 1543/25/539 1544/25/539 \n# 56 polygons - 2 triangles\n\n#\n# object Component_1_008\n#\n\nv  -4155.2813 7568.4834 3715.0935\nv  -4155.2813 7556.6372 3625.1118\nv  -4155.2813 7568.4834 3535.1304\nv  -4155.2813 7603.2153 3451.2808\nv  -4155.2813 7603.2153 3798.9431\nv  -4155.2813 7658.4653 3379.2773\nv  -4155.2813 7658.4653 3870.9465\nv  -4155.2813 7730.4683 3324.0273\nv  -4155.2813 7730.4683 3926.1965\nv  -4155.2813 7814.3179 3289.2957\nv  -4155.2813 7814.3179 3960.9282\nv  -4155.2813 7904.2998 3277.4495\nv  -4155.2813 7904.2998 3972.7744\nv  -4155.2813 7994.2813 3289.2957\nv  -4155.2813 7994.2813 3960.9282\nv  -4155.2813 8078.1309 3324.0273\nv  -4155.2813 8078.1309 3926.1965\nv  -4155.2813 8150.1343 3379.2773\nv  -4155.2813 8150.1343 3870.9465\nv  -4155.2813 8205.3848 3451.2808\nv  -4155.2813 8205.3848 3798.9431\nv  -4155.2813 8240.1162 3535.1304\nv  -4155.2813 8240.1162 3715.0935\nv  -4155.2813 8251.9619 3625.1118\nv  -4253.7061 8251.9619 3625.1118\nv  -4253.7061 8240.1162 3535.1304\nv  -4253.7061 8205.3848 3451.2808\nv  -4253.7061 8150.1343 3379.2773\nv  -4253.7061 8078.1309 3324.0273\nv  -4253.7061 7994.2813 3289.2957\nv  -4253.7061 7904.2998 3277.4495\nv  -4253.7061 7814.3179 3289.2957\nv  -4253.7061 7730.4683 3324.0273\nv  -4253.7061 7658.4653 3379.2773\nv  -4253.7061 7603.2153 3451.2808\nv  -4253.7061 7568.4834 3535.1304\nv  -4253.7061 7556.6372 3625.1118\nv  -4253.7061 7568.4834 3715.0935\nv  -4253.7061 7603.2153 3798.9431\nv  -4253.7061 7658.4653 3870.9465\nv  -4253.7061 7730.4683 3926.1965\nv  -4253.7061 7814.3179 3960.9282\nv  -4253.7061 7904.2998 3972.7744\nv  -4253.7061 7994.2813 3960.9282\nv  -4253.7061 8078.1309 3926.1965\nv  -4253.7061 8150.1343 3870.9465\nv  -4253.7061 8205.3848 3798.9431\nv  -4253.7061 8240.1162 3715.0935\n# 48 vertices\n\nvn 1.0000 0.0000 -0.0000\nvn -0.0000 1.0000 -0.0000\nvn -0.0000 0.9659 -0.2588\nvn -0.0000 0.8660 -0.5000\nvn -0.0000 0.7071 -0.7071\nvn -0.0000 0.5000 -0.8660\nvn -0.0000 0.2588 -0.9659\nvn -0.0000 0.0000 -1.0000\nvn 0.0000 -0.2588 -0.9659\nvn 0.0000 -0.5000 -0.8660\nvn 0.0000 -0.7071 -0.7071\nvn 0.0000 -0.8660 -0.5000\nvn 0.0000 -0.9659 -0.2588\nvn 0.0000 -1.0000 -0.0000\nvn 0.0000 -0.9659 0.2588\nvn 0.0000 -0.8660 0.5000\nvn 0.0000 -0.7071 0.7071\nvn 0.0000 -0.5000 0.8660\nvn 0.0000 -0.2588 0.9659\nvn 0.0000 -0.0000 1.0000\nvn -0.0000 0.2588 0.9659\nvn -0.0000 0.5000 0.8660\nvn -0.0000 0.7071 0.7071\nvn -0.0000 0.8660 0.5000\nvn -0.0000 0.9659 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_008\nusemtl wire_028089177\ns off\nf 1545/26/540 1546/26/540 1547/26/540 1548/26/540 \nf 1549/26/540 1545/26/540 1548/26/540 1550/26/540 \nf 1551/26/540 1549/26/540 1550/26/540 1552/26/540 \nf 1553/26/540 1551/26/540 1552/26/540 1554/26/540 \nf 1555/26/540 1553/26/540 1554/26/540 1556/26/540 \nf 1557/26/540 1555/26/540 1556/26/540 1558/26/540 \nf 1559/26/540 1557/26/540 1558/26/540 1560/26/540 \nf 1561/26/540 1559/26/540 1560/26/540 1562/26/540 \nf 1563/26/540 1561/26/540 1562/26/540 1564/26/540 \nf 1565/26/540 1563/26/540 1564/26/540 1566/26/540 \nf 1567/26/540 1565/26/540 1566/26/540 1568/26/540 \nf 1569/26/541 1568/26/541 1566/26/542 1570/26/542 \nf 1570/26/542 1566/26/542 1564/26/543 1571/26/543 \nf 1571/26/543 1564/26/543 1562/26/544 1572/26/544 \nf 1562/26/544 1560/26/545 1573/26/545 1572/26/544 \nf 1560/26/545 1558/26/546 1574/26/546 1573/26/545 \nf 1558/26/546 1556/26/547 1575/26/547 1574/26/546 \nf 1556/26/547 1554/26/548 1576/26/548 1575/26/547 \nf 1554/26/548 1552/26/549 1577/26/549 1576/26/548 \nf 1552/26/549 1550/26/550 1578/26/550 1577/26/549 \nf 1548/26/551 1579/26/551 1578/26/550 1550/26/550 \nf 1547/26/552 1580/26/552 1579/26/551 1548/26/551 \nf 1546/26/553 1581/26/553 1580/26/552 1547/26/552 \nf 1545/26/554 1582/26/554 1581/26/553 1546/26/553 \nf 1549/26/555 1583/26/555 1582/26/554 1545/26/554 \nf 1551/26/556 1584/26/556 1583/26/555 1549/26/555 \nf 1551/26/556 1553/26/557 1585/26/557 1584/26/556 \nf 1553/26/557 1555/26/558 1586/26/558 1585/26/557 \nf 1555/26/558 1557/26/559 1587/26/559 1586/26/558 \nf 1557/26/559 1559/26/560 1588/26/560 1587/26/559 \nf 1559/26/560 1561/26/561 1589/26/561 1588/26/560 \nf 1561/26/561 1563/26/562 1590/26/562 1589/26/561 \nf 1590/26/562 1563/26/562 1565/26/563 1591/26/563 \nf 1591/26/563 1565/26/563 1567/26/564 1592/26/564 \nf 1592/26/564 1567/26/564 1568/26/541 1569/26/541 \n# 35 polygons\n\n#\n# object Component_1_007\n#\n\nv  -4155.2813 274.6232 3718.6492\nv  -4155.2813 262.7769 3628.6675\nv  -4155.2813 274.6232 3538.6860\nv  -4155.2813 309.3549 3454.8364\nv  -4155.2813 309.3549 3802.4988\nv  -4155.2813 364.6049 3382.8330\nv  -4155.2813 364.6049 3874.5022\nv  -4155.2813 436.6082 3327.5830\nv  -4155.2813 436.6082 3929.7522\nv  -4155.2813 520.4578 3292.8513\nv  -4155.2813 520.4578 3964.4839\nv  -4155.2813 610.4395 3281.0051\nv  -4155.2813 610.4395 3976.3301\nv  -4155.2813 700.4211 3292.8513\nv  -4155.2813 700.4211 3964.4839\nv  -4155.2813 784.2706 3327.5830\nv  -4155.2813 784.2706 3929.7522\nv  -4155.2813 856.2739 3382.8330\nv  -4155.2813 856.2739 3874.5022\nv  -4155.2813 911.5240 3454.8364\nv  -4155.2813 911.5240 3802.4988\nv  -4155.2813 946.2556 3538.6860\nv  -4155.2813 946.2556 3718.6492\nv  -4155.2813 958.1019 3628.6675\nv  -4253.7061 958.1019 3628.6675\nv  -4253.7061 946.2556 3538.6860\nv  -4253.7061 911.5240 3454.8364\nv  -4253.7061 856.2739 3382.8330\nv  -4253.7061 784.2706 3327.5830\nv  -4253.7061 700.4211 3292.8513\nv  -4253.7061 610.4395 3281.0051\nv  -4253.7061 520.4578 3292.8513\nv  -4253.7061 436.6082 3327.5830\nv  -4253.7061 364.6049 3382.8330\nv  -4253.7061 309.3549 3454.8364\nv  -4253.7061 274.6232 3538.6860\nv  -4253.7061 262.7769 3628.6675\nv  -4253.7061 274.6232 3718.6492\nv  -4253.7061 309.3549 3802.4988\nv  -4253.7061 364.6049 3874.5022\nv  -4253.7061 436.6082 3929.7522\nv  -4253.7061 520.4578 3964.4839\nv  -4253.7061 610.4395 3976.3301\nv  -4253.7061 700.4211 3964.4839\nv  -4253.7061 784.2706 3929.7522\nv  -4253.7061 856.2739 3874.5022\nv  -4253.7061 911.5240 3802.4988\nv  -4253.7061 946.2556 3718.6492\n# 48 vertices\n\nvn 1.0000 0.0000 -0.0000\nvn -0.0000 1.0000 -0.0000\nvn -0.0000 0.9659 -0.2588\nvn -0.0000 0.8660 -0.5000\nvn -0.0000 0.7071 -0.7071\nvn -0.0000 0.5000 -0.8660\nvn -0.0000 0.2588 -0.9659\nvn -0.0000 0.0000 -1.0000\nvn 0.0000 -0.2588 -0.9659\nvn 0.0000 -0.5000 -0.8660\nvn 0.0000 -0.7071 -0.7071\nvn 0.0000 -0.8660 -0.5000\nvn 0.0000 -0.9659 -0.2588\nvn 0.0000 -1.0000 -0.0000\nvn 0.0000 -0.9659 0.2588\nvn 0.0000 -0.8660 0.5000\nvn 0.0000 -0.7071 0.7071\nvn 0.0000 -0.5000 0.8660\nvn 0.0000 -0.2588 0.9659\nvn 0.0000 -0.0000 1.0000\nvn -0.0000 0.2588 0.9659\nvn -0.0000 0.5000 0.8660\nvn -0.0000 0.7071 0.7071\nvn -0.0000 0.8660 0.5000\nvn -0.0000 0.9659 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_007\nusemtl wire_177028149\ns off\nf 1593/27/565 1594/27/565 1595/27/565 1596/27/565 \nf 1597/27/565 1593/27/565 1596/27/565 1598/27/565 \nf 1599/27/565 1597/27/565 1598/27/565 1600/27/565 \nf 1601/27/565 1599/27/565 1600/27/565 1602/27/565 \nf 1603/27/565 1601/27/565 1602/27/565 1604/27/565 \nf 1605/27/565 1603/27/565 1604/27/565 1606/27/565 \nf 1607/27/565 1605/27/565 1606/27/565 1608/27/565 \nf 1609/27/565 1607/27/565 1608/27/565 1610/27/565 \nf 1611/27/565 1609/27/565 1610/27/565 1612/27/565 \nf 1613/27/565 1611/27/565 1612/27/565 1614/27/565 \nf 1615/27/565 1613/27/565 1614/27/565 1616/27/565 \nf 1617/27/566 1616/27/566 1614/27/567 1618/27/567 \nf 1618/27/567 1614/27/567 1612/27/568 1619/27/568 \nf 1619/27/568 1612/27/568 1610/27/569 1620/27/569 \nf 1610/27/569 1608/27/570 1621/27/570 1620/27/569 \nf 1608/27/570 1606/27/571 1622/27/571 1621/27/570 \nf 1606/27/571 1604/27/572 1623/27/572 1622/27/571 \nf 1604/27/572 1602/27/573 1624/27/573 1623/27/572 \nf 1602/27/573 1600/27/574 1625/27/574 1624/27/573 \nf 1600/27/574 1598/27/575 1626/27/575 1625/27/574 \nf 1596/27/576 1627/27/576 1626/27/575 1598/27/575 \nf 1595/27/577 1628/27/577 1627/27/576 1596/27/576 \nf 1594/27/578 1629/27/578 1628/27/577 1595/27/577 \nf 1593/27/579 1630/27/579 1629/27/578 1594/27/578 \nf 1597/27/580 1631/27/580 1630/27/579 1593/27/579 \nf 1599/27/581 1632/27/581 1631/27/580 1597/27/580 \nf 1599/27/581 1601/27/582 1633/27/582 1632/27/581 \nf 1601/27/582 1603/27/583 1634/27/583 1633/27/582 \nf 1603/27/583 1605/27/584 1635/27/584 1634/27/583 \nf 1605/27/584 1607/27/585 1636/27/585 1635/27/584 \nf 1607/27/585 1609/27/586 1637/27/586 1636/27/585 \nf 1609/27/586 1611/27/587 1638/27/587 1637/27/586 \nf 1638/27/587 1611/27/587 1613/27/588 1639/27/588 \nf 1639/27/588 1613/27/588 1615/27/589 1640/27/589 \nf 1640/27/589 1615/27/589 1616/27/566 1617/27/566 \n# 35 polygons\n\n#\n# object Component_1_006\n#\n\nv  -4155.2813 275.0865 -3601.1833\nv  -4155.2813 263.2402 -3691.1650\nv  -4155.2813 275.0865 -3781.1465\nv  -4155.2813 309.8181 -3864.9961\nv  -4155.2813 309.8181 -3517.3337\nv  -4155.2813 365.0681 -3936.9995\nv  -4155.2813 365.0681 -3445.3303\nv  -4155.2813 437.0714 -3992.2495\nv  -4155.2813 437.0714 -3390.0803\nv  -4155.2813 520.9210 -4026.9812\nv  -4155.2813 520.9210 -3355.3486\nv  -4155.2813 610.9027 -4038.8274\nv  -4155.2813 610.9027 -3343.5024\nv  -4155.2813 700.8843 -4026.9812\nv  -4155.2813 700.8843 -3355.3486\nv  -4155.2813 784.7339 -3992.2495\nv  -4155.2813 784.7339 -3390.0803\nv  -4155.2813 856.7372 -3936.9995\nv  -4155.2813 856.7372 -3445.3303\nv  -4155.2813 911.9872 -3864.9961\nv  -4155.2813 911.9872 -3517.3337\nv  -4155.2813 946.7189 -3781.1465\nv  -4155.2813 946.7189 -3601.1833\nv  -4155.2813 958.5652 -3691.1650\nv  -4253.7061 958.5652 -3691.1650\nv  -4253.7061 946.7189 -3781.1465\nv  -4253.7061 911.9872 -3864.9961\nv  -4253.7061 856.7372 -3936.9995\nv  -4253.7061 784.7339 -3992.2495\nv  -4253.7061 700.8843 -4026.9812\nv  -4253.7061 610.9026 -4038.8274\nv  -4253.7061 520.9210 -4026.9812\nv  -4253.7061 437.0714 -3992.2495\nv  -4253.7061 365.0681 -3936.9995\nv  -4253.7061 309.8181 -3864.9961\nv  -4253.7061 275.0865 -3781.1465\nv  -4253.7061 263.2401 -3691.1650\nv  -4253.7061 275.0865 -3601.1833\nv  -4253.7061 309.8181 -3517.3337\nv  -4253.7061 365.0681 -3445.3303\nv  -4253.7061 437.0714 -3390.0803\nv  -4253.7061 520.9210 -3355.3486\nv  -4253.7061 610.9026 -3343.5024\nv  -4253.7061 700.8843 -3355.3486\nv  -4253.7061 784.7339 -3390.0803\nv  -4253.7061 856.7372 -3445.3303\nv  -4253.7061 911.9872 -3517.3337\nv  -4253.7061 946.7189 -3601.1833\n# 48 vertices\n\nvn 1.0000 0.0000 -0.0000\nvn -0.0000 1.0000 -0.0000\nvn -0.0000 0.9659 -0.2588\nvn -0.0000 0.8660 -0.5000\nvn -0.0000 0.7071 -0.7071\nvn -0.0000 0.5000 -0.8660\nvn -0.0000 0.2588 -0.9659\nvn -0.0000 0.0000 -1.0000\nvn 0.0000 -0.2588 -0.9659\nvn 0.0000 -0.5000 -0.8660\nvn 0.0000 -0.7071 -0.7071\nvn 0.0000 -0.8660 -0.5000\nvn 0.0000 -0.9659 -0.2588\nvn 0.0000 -1.0000 -0.0000\nvn 0.0000 -0.9659 0.2588\nvn 0.0000 -0.8660 0.5000\nvn 0.0000 -0.7071 0.7071\nvn 0.0000 -0.5000 0.8660\nvn 0.0000 -0.2588 0.9659\nvn 0.0000 -0.0000 1.0000\nvn -0.0000 0.2588 0.9659\nvn -0.0000 0.5000 0.8660\nvn -0.0000 0.7071 0.7071\nvn -0.0000 0.8660 0.5000\nvn -0.0000 0.9659 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_006\nusemtl wire_224086086\ns off\nf 1641/28/590 1642/28/590 1643/28/590 1644/28/590 \nf 1645/28/590 1641/28/590 1644/28/590 1646/28/590 \nf 1647/28/590 1645/28/590 1646/28/590 1648/28/590 \nf 1649/28/590 1647/28/590 1648/28/590 1650/28/590 \nf 1651/28/590 1649/28/590 1650/28/590 1652/28/590 \nf 1653/28/590 1651/28/590 1652/28/590 1654/28/590 \nf 1655/28/590 1653/28/590 1654/28/590 1656/28/590 \nf 1657/28/590 1655/28/590 1656/28/590 1658/28/590 \nf 1659/28/590 1657/28/590 1658/28/590 1660/28/590 \nf 1661/28/590 1659/28/590 1660/28/590 1662/28/590 \nf 1663/28/590 1661/28/590 1662/28/590 1664/28/590 \nf 1665/28/591 1664/28/591 1662/28/592 1666/28/592 \nf 1666/28/592 1662/28/592 1660/28/593 1667/28/593 \nf 1667/28/593 1660/28/593 1658/28/594 1668/28/594 \nf 1658/28/594 1656/28/595 1669/28/595 1668/28/594 \nf 1656/28/595 1654/28/596 1670/28/596 1669/28/595 \nf 1654/28/596 1652/28/597 1671/28/597 1670/28/596 \nf 1652/28/597 1650/28/598 1672/28/598 1671/28/597 \nf 1650/28/598 1648/28/599 1673/28/599 1672/28/598 \nf 1648/28/599 1646/28/600 1674/28/600 1673/28/599 \nf 1644/28/601 1675/28/601 1674/28/600 1646/28/600 \nf 1643/28/602 1676/28/602 1675/28/601 1644/28/601 \nf 1642/28/603 1677/28/603 1676/28/602 1643/28/602 \nf 1641/28/604 1678/28/604 1677/28/603 1642/28/603 \nf 1645/28/605 1679/28/605 1678/28/604 1641/28/604 \nf 1647/28/606 1680/28/606 1679/28/605 1645/28/605 \nf 1647/28/606 1649/28/607 1681/28/607 1680/28/606 \nf 1649/28/607 1651/28/608 1682/28/608 1681/28/607 \nf 1651/28/608 1653/28/609 1683/28/609 1682/28/608 \nf 1653/28/609 1655/28/610 1684/28/610 1683/28/609 \nf 1655/28/610 1657/28/611 1685/28/611 1684/28/610 \nf 1657/28/611 1659/28/612 1686/28/612 1685/28/611 \nf 1686/28/612 1659/28/612 1661/28/613 1687/28/613 \nf 1687/28/613 1661/28/613 1663/28/614 1688/28/614 \nf 1688/28/614 1663/28/614 1664/28/591 1665/28/591 \n# 35 polygons\n\n#\n# object Component_1_005\n#\n\nv  -4155.2813 7571.6396 -3590.6990\nv  -4155.2813 7559.7935 -3680.6807\nv  -4155.2813 7571.6396 -3770.6621\nv  -4155.2813 7606.3716 -3854.5117\nv  -4155.2813 7606.3716 -3506.8494\nv  -4155.2813 7661.6216 -3926.5151\nv  -4155.2813 7661.6216 -3434.8459\nv  -4155.2813 7733.6245 -3981.7651\nv  -4155.2813 7733.6245 -3379.5959\nv  -4155.2813 7817.4741 -4016.4968\nv  -4155.2813 7817.4741 -3344.8643\nv  -4155.2813 7907.4561 -4028.3430\nv  -4155.2813 7907.4561 -3333.0181\nv  -4155.2813 7997.4375 -4016.4968\nv  -4155.2813 7997.4375 -3344.8643\nv  -4155.2813 8081.2871 -3981.7651\nv  -4155.2813 8081.2871 -3379.5959\nv  -4155.2813 8153.2905 -3926.5151\nv  -4155.2813 8153.2905 -3434.8459\nv  -4155.2813 8208.5410 -3854.5117\nv  -4155.2813 8208.5410 -3506.8494\nv  -4155.2813 8243.2725 -3770.6621\nv  -4155.2813 8243.2725 -3590.6990\nv  -4155.2813 8255.1182 -3680.6807\nv  -4253.7061 8255.1182 -3680.6807\nv  -4253.7061 8243.2725 -3770.6621\nv  -4253.7061 8208.5410 -3854.5117\nv  -4253.7061 8153.2905 -3926.5151\nv  -4253.7061 8081.2871 -3981.7651\nv  -4253.7061 7997.4375 -4016.4968\nv  -4253.7061 7907.4561 -4028.3430\nv  -4253.7061 7817.4741 -4016.4968\nv  -4253.7061 7733.6245 -3981.7651\nv  -4253.7061 7661.6216 -3926.5151\nv  -4253.7061 7606.3716 -3854.5117\nv  -4253.7061 7571.6396 -3770.6621\nv  -4253.7061 7559.7935 -3680.6807\nv  -4253.7061 7571.6396 -3590.6990\nv  -4253.7061 7606.3716 -3506.8494\nv  -4253.7061 7661.6216 -3434.8459\nv  -4253.7061 7733.6245 -3379.5959\nv  -4253.7061 7817.4741 -3344.8643\nv  -4253.7061 7907.4561 -3333.0181\nv  -4253.7061 7997.4375 -3344.8643\nv  -4253.7061 8081.2871 -3379.5959\nv  -4253.7061 8153.2905 -3434.8459\nv  -4253.7061 8208.5410 -3506.8494\nv  -4253.7061 8243.2725 -3590.6990\n# 48 vertices\n\nvn 1.0000 0.0000 -0.0000\nvn -0.0000 1.0000 -0.0000\nvn -0.0000 0.9659 -0.2588\nvn -0.0000 0.8660 -0.5000\nvn -0.0000 0.7071 -0.7071\nvn -0.0000 0.5000 -0.8660\nvn -0.0000 0.2588 -0.9659\nvn -0.0000 0.0000 -1.0000\nvn 0.0000 -0.2588 -0.9659\nvn 0.0000 -0.5000 -0.8660\nvn 0.0000 -0.7071 -0.7071\nvn 0.0000 -0.8660 -0.5000\nvn 0.0000 -0.9659 -0.2588\nvn 0.0000 -1.0000 -0.0000\nvn 0.0000 -0.9659 0.2588\nvn 0.0000 -0.8660 0.5000\nvn 0.0000 -0.7071 0.7071\nvn 0.0000 -0.5000 0.8660\nvn 0.0000 -0.2588 0.9659\nvn 0.0000 -0.0000 1.0000\nvn -0.0000 0.2588 0.9659\nvn -0.0000 0.5000 0.8660\nvn -0.0000 0.7071 0.7071\nvn -0.0000 0.8660 0.5000\nvn -0.0000 0.9659 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_005\nusemtl wire_006134006\ns off\nf 1689/29/615 1690/29/615 1691/29/615 1692/29/615 \nf 1693/29/615 1689/29/615 1692/29/615 1694/29/615 \nf 1695/29/615 1693/29/615 1694/29/615 1696/29/615 \nf 1697/29/615 1695/29/615 1696/29/615 1698/29/615 \nf 1699/29/615 1697/29/615 1698/29/615 1700/29/615 \nf 1701/29/615 1699/29/615 1700/29/615 1702/29/615 \nf 1703/29/615 1701/29/615 1702/29/615 1704/29/615 \nf 1705/29/615 1703/29/615 1704/29/615 1706/29/615 \nf 1707/29/615 1705/29/615 1706/29/615 1708/29/615 \nf 1709/29/615 1707/29/615 1708/29/615 1710/29/615 \nf 1711/29/615 1709/29/615 1710/29/615 1712/29/615 \nf 1713/29/616 1712/29/616 1710/29/617 1714/29/617 \nf 1714/29/617 1710/29/617 1708/29/618 1715/29/618 \nf 1715/29/618 1708/29/618 1706/29/619 1716/29/619 \nf 1706/29/619 1704/29/620 1717/29/620 1716/29/619 \nf 1704/29/620 1702/29/621 1718/29/621 1717/29/620 \nf 1702/29/621 1700/29/622 1719/29/622 1718/29/621 \nf 1700/29/622 1698/29/623 1720/29/623 1719/29/622 \nf 1698/29/623 1696/29/624 1721/29/624 1720/29/623 \nf 1696/29/624 1694/29/625 1722/29/625 1721/29/624 \nf 1692/29/626 1723/29/626 1722/29/625 1694/29/625 \nf 1691/29/627 1724/29/627 1723/29/626 1692/29/626 \nf 1690/29/628 1725/29/628 1724/29/627 1691/29/627 \nf 1689/29/629 1726/29/629 1725/29/628 1690/29/628 \nf 1693/29/630 1727/29/630 1726/29/629 1689/29/629 \nf 1695/29/631 1728/29/631 1727/29/630 1693/29/630 \nf 1695/29/631 1697/29/632 1729/29/632 1728/29/631 \nf 1697/29/632 1699/29/633 1730/29/633 1729/29/632 \nf 1699/29/633 1701/29/634 1731/29/634 1730/29/633 \nf 1701/29/634 1703/29/635 1732/29/635 1731/29/634 \nf 1703/29/635 1705/29/636 1733/29/636 1732/29/635 \nf 1705/29/636 1707/29/637 1734/29/637 1733/29/636 \nf 1734/29/637 1707/29/637 1709/29/638 1735/29/638 \nf 1735/29/638 1709/29/638 1711/29/639 1736/29/639 \nf 1736/29/639 1711/29/639 1712/29/616 1713/29/616 \n# 35 polygons\n\n#\n# object Component_2_002\n#\n\nv  -4253.7056 36.4451 4217.2612\nv  -4253.7056 0.0000 -4253.7056\nv  -4253.7056 0.0000 4253.7065\nv  -4253.7070 8507.4121 4253.7065\nv  -4253.7070 8470.9678 4217.2612\nv  -4253.7070 8470.9678 -4217.2612\nv  -4253.7070 8507.4121 -4253.7056\nv  -4253.7056 36.4451 -4217.2612\nv  -4253.7056 262.7768 3628.6675\nv  -4253.7056 274.6231 3718.6492\nv  -4253.7056 309.3547 3802.4988\nv  -4253.7056 364.6048 3874.5020\nv  -4253.7056 436.6080 3929.7520\nv  -4253.7056 520.4576 3964.4836\nv  -4253.7056 610.4393 3976.3301\nv  -4253.7056 700.4210 3964.4836\nv  -4253.7056 784.2705 3929.7520\nv  -4253.7056 856.2738 3874.5020\nv  -4253.7056 911.5238 3802.4988\nv  -4253.7056 946.2555 3718.6492\nv  -4253.7056 958.1017 3628.6675\nv  -4253.7070 7814.3184 3960.9282\nv  -4253.7070 7904.2998 3972.7744\nv  -4253.7070 7994.2817 3960.9282\nv  -4253.7070 8078.1309 3926.1965\nv  -4253.7070 8150.1343 3870.9465\nv  -4253.7070 8205.3848 3798.9434\nv  -4253.7070 8240.1162 3715.0938\nv  -4253.7070 8251.9619 3625.1121\nv  -4253.7070 8255.1182 -3680.6802\nv  -4253.7070 8243.2715 -3770.6616\nv  -4253.7070 8208.5410 -3854.5117\nv  -4253.7070 8153.2905 -3926.5151\nv  -4253.7070 8081.2871 -3981.7642\nv  -4253.7070 7997.4375 -4016.4966\nv  -4253.7070 7907.4561 -4028.3433\nv  -4253.7070 7817.4736 -4016.4966\nv  -4253.7056 958.5650 -3691.1650\nv  -4253.7056 946.7186 -3781.1465\nv  -4253.7056 911.9871 -3864.9961\nv  -4253.7056 856.7371 -3936.9995\nv  -4253.7056 784.7337 -3992.2495\nv  -4253.7056 700.8842 -4026.9810\nv  -4253.7056 610.9025 -4038.8276\nv  -4253.7056 520.9208 -4026.9810\nv  -4253.7056 437.0712 -3992.2495\nv  -4253.7056 365.0680 -3936.9995\nv  -4253.7056 309.8180 -3864.9961\nv  -4253.7056 275.0863 -3781.1465\nv  -4253.7056 263.2400 -3691.1650\nv  -4253.7056 274.6231 3538.6858\nv  -4253.7056 275.0863 -3601.1831\nv  -4253.7056 309.3547 3454.8364\nv  -4253.7056 309.8180 -3517.3335\nv  -4253.7056 364.6048 3382.8330\nv  -4253.7056 365.0680 -3445.3306\nv  -4253.7056 436.6080 3327.5830\nv  -4253.7056 437.0712 -3390.0801\nv  -4253.7056 520.4576 3292.8513\nv  -4253.7056 520.9208 -3355.3491\nv  -4253.7056 610.4393 3281.0049\nv  -4253.7056 610.9025 -3343.5024\nv  -4253.7056 700.4210 3292.8513\nv  -4253.7056 700.8842 -3355.3491\nv  -4253.7056 784.2705 3327.5830\nv  -4253.7056 784.7337 -3390.0801\nv  -4253.7056 856.2738 3382.8330\nv  -4253.7056 856.7371 -3445.3306\nv  -4253.7056 911.5238 3454.8364\nv  -4253.7056 911.9871 -3517.3335\nv  -4253.7056 946.2555 3538.6858\nv  -4253.7056 946.7186 -3601.1831\nv  -4253.7070 7658.4648 3870.9465\nv  -4253.7070 7730.4683 3926.1965\nv  -4253.7070 7603.2148 3798.9434\nv  -4253.7070 7568.4839 3715.0938\nv  -4253.7070 7556.6372 3625.1121\nv  -4253.7070 7559.7935 -3680.6802\nv  -4253.7070 7571.6392 -3770.6616\nv  -4253.7070 7606.3711 -3854.5117\nv  -4253.7070 7661.6216 -3926.5151\nv  -4253.7070 7733.6245 -3981.7642\nv  -4253.7070 7568.4839 3535.1304\nv  -4253.7070 7571.6392 -3590.6982\nv  -4253.7070 7603.2148 3451.2808\nv  -4253.7070 7606.3711 -3506.8491\nv  -4253.7070 7658.4648 3379.2773\nv  -4253.7070 7661.6216 -3434.8457\nv  -4253.7070 7730.4683 3324.0273\nv  -4253.7070 7733.6245 -3379.5957\nv  -4253.7070 7814.3184 3289.2959\nv  -4253.7070 7817.4736 -3344.8638\nv  -4253.7070 7904.2998 3277.4495\nv  -4253.7070 7907.4561 -3333.0181\nv  -4253.7070 7994.2817 3289.2959\nv  -4253.7070 7997.4375 -3344.8638\nv  -4253.7070 8078.1309 3324.0273\nv  -4253.7070 8081.2871 -3379.5957\nv  -4253.7070 8150.1343 3379.2773\nv  -4253.7070 8153.2905 -3434.8457\nv  -4253.7070 8205.3848 3451.2808\nv  -4253.7070 8208.5410 -3506.8491\nv  -4253.7070 8240.1162 3535.1304\nv  -4253.7070 8243.2715 -3590.6982\n# 104 vertices\n\nvn -1.0000 -0.0000 -0.0000\n# 1 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_2_002\nusemtl wire_134006006\ns off\nf 1737/30/640 1738/30/640 1739/30/640 1740/30/640 \nf 1741/30/640 1737/30/640 1740/30/640 1742/30/640 \nf 1742/30/640 1740/30/640 1743/30/640 1744/30/640 \nf 1744/30/640 1743/30/640 1738/30/640 1737/30/640 \nf 1745/30/640 1744/30/640 1737/30/640 1746/30/640 \nf 1747/30/640 1746/30/640 1737/30/640 1748/30/640 \nf 1749/30/640 1748/30/640 1737/30/640 1750/30/640 \nf 1751/30/640 1750/30/640 1737/30/640 1741/30/640 \nf 1752/30/640 1751/30/640 1741/30/640 1753/30/640 \nf 1754/30/640 1753/30/640 1741/30/640 1755/30/640 \nf 1756/30/640 1755/30/640 1741/30/640 1757/30/640 \nf 1758/30/640 1757/30/640 1741/30/640 1759/30/640 \nf 1760/30/640 1759/30/640 1741/30/640 1761/30/640 \nf 1762/30/640 1761/30/640 1741/30/640 1763/30/640 \nf 1764/30/640 1763/30/640 1741/30/640 1765/30/640 \nf 1766/30/640 1765/30/640 1741/30/640 1742/30/640 \nf 1767/30/640 1766/30/640 1742/30/640 1768/30/640 \nf 1769/30/640 1768/30/640 1742/30/640 1770/30/640 \nf 1771/30/640 1770/30/640 1742/30/640 1772/30/640 \nf 1773/30/640 1772/30/640 1742/30/640 1774/30/640 \nf 1775/30/640 1774/30/640 1742/30/640 1776/30/640 \nf 1777/30/640 1776/30/640 1742/30/640 1778/30/640 \nf 1779/30/640 1778/30/640 1742/30/640 1780/30/640 \nf 1780/30/640 1742/30/640 1744/30/640 1781/30/640 \nf 1782/30/640 1781/30/640 1744/30/640 1783/30/640 \nf 1784/30/640 1783/30/640 1744/30/640 1785/30/640 \nf 1786/30/640 1785/30/640 1744/30/640 1745/30/640 \nf 1786/30/640 1745/30/640 1787/30/640 1788/30/640 \nf 1788/30/640 1787/30/640 1789/30/640 1790/30/640 \nf 1790/30/640 1789/30/640 1791/30/640 1792/30/640 \nf 1792/30/640 1791/30/640 1793/30/640 1794/30/640 \nf 1794/30/640 1793/30/640 1795/30/640 1796/30/640 \nf 1796/30/640 1795/30/640 1797/30/640 1798/30/640 \nf 1798/30/640 1797/30/640 1799/30/640 1800/30/640 \nf 1800/30/640 1799/30/640 1801/30/640 1802/30/640 \nf 1802/30/640 1801/30/640 1803/30/640 1804/30/640 \nf 1804/30/640 1803/30/640 1805/30/640 1806/30/640 \nf 1806/30/640 1805/30/640 1807/30/640 1808/30/640 \nf 1808/30/640 1807/30/640 1757/30/640 1774/30/640 \nf 1809/30/640 1774/30/640 1757/30/640 1810/30/640 \nf 1757/30/640 1758/30/640 1810/30/640 \nf 1774/30/640 1809/30/640 1811/30/640 1812/30/640 \nf 1774/30/640 1812/30/640 1813/30/640 1814/30/640 \nf 1774/30/640 1814/30/640 1815/30/640 1816/30/640 \nf 1774/30/640 1816/30/640 1817/30/640 1818/30/640 \nf 1773/30/640 1774/30/640 1818/30/640 \nf 1814/30/640 1813/30/640 1819/30/640 1820/30/640 \nf 1820/30/640 1819/30/640 1821/30/640 1822/30/640 \nf 1822/30/640 1821/30/640 1823/30/640 1824/30/640 \nf 1824/30/640 1823/30/640 1825/30/640 1826/30/640 \nf 1826/30/640 1825/30/640 1827/30/640 1828/30/640 \nf 1828/30/640 1827/30/640 1829/30/640 1830/30/640 \nf 1830/30/640 1829/30/640 1831/30/640 1832/30/640 \nf 1832/30/640 1831/30/640 1833/30/640 1834/30/640 \nf 1834/30/640 1833/30/640 1835/30/640 1836/30/640 \nf 1836/30/640 1835/30/640 1837/30/640 1838/30/640 \nf 1838/30/640 1837/30/640 1839/30/640 1840/30/640 \nf 1840/30/640 1839/30/640 1765/30/640 1766/30/640 \n# 56 polygons - 2 triangles\n\n#\n# object Component_1_004\n#\n\nv  3314.7778 8408.9873 3715.0935\nv  3302.9316 8408.9873 3625.1118\nv  3314.7778 8408.9873 3535.1304\nv  3349.5095 8408.9873 3451.2808\nv  3349.5095 8408.9873 3798.9431\nv  3404.7595 8408.9873 3379.2773\nv  3404.7595 8408.9873 3870.9465\nv  3476.7629 8408.9873 3324.0273\nv  3476.7629 8408.9873 3926.1965\nv  3560.6125 8408.9873 3289.2957\nv  3560.6125 8408.9873 3960.9282\nv  3650.5942 8408.9873 3277.4495\nv  3650.5942 8408.9873 3972.7744\nv  3740.5757 8408.9873 3289.2957\nv  3740.5757 8408.9873 3960.9282\nv  3824.4253 8408.9873 3324.0273\nv  3824.4253 8408.9873 3926.1965\nv  3896.4287 8408.9873 3379.2773\nv  3896.4287 8408.9873 3870.9465\nv  3951.6787 8408.9873 3451.2808\nv  3951.6787 8408.9873 3798.9431\nv  3986.4104 8408.9873 3535.1304\nv  3986.4104 8408.9873 3715.0935\nv  3998.2566 8408.9873 3625.1118\nv  3998.2566 8507.4121 3625.1118\nv  3986.4104 8507.4121 3535.1304\nv  3951.6787 8507.4121 3451.2808\nv  3896.4287 8507.4121 3379.2773\nv  3824.4253 8507.4121 3324.0273\nv  3740.5757 8507.4121 3289.2957\nv  3650.5942 8507.4121 3277.4495\nv  3560.6125 8507.4121 3289.2957\nv  3476.7629 8507.4121 3324.0273\nv  3404.7595 8507.4121 3379.2773\nv  3349.5095 8507.4121 3451.2808\nv  3314.7778 8507.4121 3535.1304\nv  3302.9316 8507.4121 3625.1118\nv  3314.7778 8507.4121 3715.0935\nv  3349.5095 8507.4121 3798.9431\nv  3404.7595 8507.4121 3870.9465\nv  3476.7629 8507.4121 3926.1965\nv  3560.6125 8507.4121 3960.9282\nv  3650.5942 8507.4121 3972.7744\nv  3740.5757 8507.4121 3960.9282\nv  3824.4253 8507.4121 3926.1965\nv  3896.4287 8507.4121 3870.9465\nv  3951.6787 8507.4121 3798.9431\nv  3986.4104 8507.4121 3715.0935\n# 48 vertices\n\nvn 0.0000 -1.0000 -0.0000\nvn 1.0000 0.0000 -0.0000\nvn 0.9659 0.0000 -0.2588\nvn 0.8660 0.0000 -0.5000\nvn 0.7071 0.0000 -0.7071\nvn 0.5000 0.0000 -0.8660\nvn 0.2588 0.0000 -0.9659\nvn 0.0000 0.0000 -1.0000\nvn -0.2588 0.0000 -0.9659\nvn -0.5000 0.0000 -0.8660\nvn -0.7071 0.0000 -0.7071\nvn -0.8660 0.0000 -0.5000\nvn -0.9659 0.0000 -0.2588\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 0.0000 0.2588\nvn -0.8660 0.0000 0.5000\nvn -0.7071 0.0000 0.7071\nvn -0.5000 0.0000 0.8660\nvn -0.2588 0.0000 0.9659\nvn -0.0000 0.0000 1.0000\nvn 0.2588 0.0000 0.9659\nvn 0.5000 0.0000 0.8660\nvn 0.7071 0.0000 0.7071\nvn 0.8660 0.0000 0.5000\nvn 0.9659 0.0000 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_004\nusemtl wire_028089177\ns off\nf 1841/31/641 1842/31/641 1843/31/641 1844/31/641 \nf 1845/31/641 1841/31/641 1844/31/641 1846/31/641 \nf 1847/31/641 1845/31/641 1846/31/641 1848/31/641 \nf 1849/31/641 1847/31/641 1848/31/641 1850/31/641 \nf 1851/31/641 1849/31/641 1850/31/641 1852/31/641 \nf 1853/31/641 1851/31/641 1852/31/641 1854/31/641 \nf 1855/31/641 1853/31/641 1854/31/641 1856/31/641 \nf 1857/31/641 1855/31/641 1856/31/641 1858/31/641 \nf 1859/31/641 1857/31/641 1858/31/641 1860/31/641 \nf 1861/31/641 1859/31/641 1860/31/641 1862/31/641 \nf 1863/31/641 1861/31/641 1862/31/641 1864/31/641 \nf 1865/31/642 1864/31/642 1862/31/643 1866/31/643 \nf 1866/31/643 1862/31/643 1860/31/644 1867/31/644 \nf 1867/31/644 1860/31/644 1858/31/645 1868/31/645 \nf 1858/31/645 1856/31/646 1869/31/646 1868/31/645 \nf 1856/31/646 1854/31/647 1870/31/647 1869/31/646 \nf 1854/31/647 1852/31/648 1871/31/648 1870/31/647 \nf 1852/31/648 1850/31/649 1872/31/649 1871/31/648 \nf 1850/31/649 1848/31/650 1873/31/650 1872/31/649 \nf 1848/31/650 1846/31/651 1874/31/651 1873/31/650 \nf 1844/31/652 1875/31/652 1874/31/651 1846/31/651 \nf 1843/31/653 1876/31/653 1875/31/652 1844/31/652 \nf 1842/31/654 1877/31/654 1876/31/653 1843/31/653 \nf 1841/31/655 1878/31/655 1877/31/654 1842/31/654 \nf 1845/31/656 1879/31/656 1878/31/655 1841/31/655 \nf 1847/31/657 1880/31/657 1879/31/656 1845/31/656 \nf 1847/31/657 1849/31/658 1881/31/658 1880/31/657 \nf 1849/31/658 1851/31/659 1882/31/659 1881/31/658 \nf 1851/31/659 1853/31/660 1883/31/660 1882/31/659 \nf 1853/31/660 1855/31/661 1884/31/661 1883/31/660 \nf 1855/31/661 1857/31/662 1885/31/662 1884/31/661 \nf 1857/31/662 1859/31/663 1886/31/663 1885/31/662 \nf 1886/31/663 1859/31/663 1861/31/664 1887/31/664 \nf 1887/31/664 1861/31/664 1863/31/665 1888/31/665 \nf 1888/31/665 1863/31/665 1864/31/642 1865/31/642 \n# 35 polygons\n\n#\n# object Component_1_003\n#\n\nv  -3979.0830 8408.9873 3718.6492\nv  -3990.9292 8408.9873 3628.6675\nv  -3979.0830 8408.9873 3538.6860\nv  -3944.3513 8408.9873 3454.8364\nv  -3944.3513 8408.9873 3802.4988\nv  -3889.1013 8408.9873 3382.8330\nv  -3889.1013 8408.9873 3874.5022\nv  -3817.0979 8408.9873 3327.5830\nv  -3817.0979 8408.9873 3929.7522\nv  -3733.2483 8408.9873 3292.8513\nv  -3733.2483 8408.9873 3964.4839\nv  -3643.2666 8408.9873 3281.0051\nv  -3643.2666 8408.9873 3976.3301\nv  -3553.2852 8408.9873 3292.8513\nv  -3553.2852 8408.9873 3964.4839\nv  -3469.4355 8408.9873 3327.5830\nv  -3469.4355 8408.9873 3929.7522\nv  -3397.4321 8408.9873 3382.8330\nv  -3397.4321 8408.9873 3874.5022\nv  -3342.1821 8408.9873 3454.8364\nv  -3342.1821 8408.9873 3802.4988\nv  -3307.4504 8408.9873 3538.6860\nv  -3307.4504 8408.9873 3718.6492\nv  -3295.6042 8408.9873 3628.6675\nv  -3295.6042 8507.4121 3628.6675\nv  -3307.4504 8507.4121 3538.6860\nv  -3342.1821 8507.4121 3454.8364\nv  -3397.4321 8507.4121 3382.8330\nv  -3469.4355 8507.4121 3327.5830\nv  -3553.2852 8507.4121 3292.8513\nv  -3643.2666 8507.4121 3281.0051\nv  -3733.2483 8507.4121 3292.8513\nv  -3817.0979 8507.4121 3327.5830\nv  -3889.1013 8507.4121 3382.8330\nv  -3944.3513 8507.4121 3454.8364\nv  -3979.0830 8507.4121 3538.6860\nv  -3990.9292 8507.4121 3628.6675\nv  -3979.0830 8507.4121 3718.6492\nv  -3944.3513 8507.4121 3802.4988\nv  -3889.1013 8507.4121 3874.5022\nv  -3817.0979 8507.4121 3929.7522\nv  -3733.2483 8507.4121 3964.4839\nv  -3643.2666 8507.4121 3976.3301\nv  -3553.2852 8507.4121 3964.4839\nv  -3469.4355 8507.4121 3929.7522\nv  -3397.4321 8507.4121 3874.5022\nv  -3342.1821 8507.4121 3802.4988\nv  -3307.4504 8507.4121 3718.6492\n# 48 vertices\n\nvn 0.0000 -1.0000 -0.0000\nvn 1.0000 0.0000 -0.0000\nvn 0.9659 0.0000 -0.2588\nvn 0.8660 0.0000 -0.5000\nvn 0.7071 0.0000 -0.7071\nvn 0.5000 0.0000 -0.8660\nvn 0.2588 0.0000 -0.9659\nvn 0.0000 0.0000 -1.0000\nvn -0.2588 0.0000 -0.9659\nvn -0.5000 0.0000 -0.8660\nvn -0.7071 0.0000 -0.7071\nvn -0.8660 0.0000 -0.5000\nvn -0.9659 0.0000 -0.2588\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 0.0000 0.2588\nvn -0.8660 0.0000 0.5000\nvn -0.7071 0.0000 0.7071\nvn -0.5000 0.0000 0.8660\nvn -0.2588 0.0000 0.9659\nvn -0.0000 0.0000 1.0000\nvn 0.2588 0.0000 0.9659\nvn 0.5000 0.0000 0.8660\nvn 0.7071 0.0000 0.7071\nvn 0.8660 0.0000 0.5000\nvn 0.9659 0.0000 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_003\nusemtl wire_006134006\ns off\nf 1889/32/666 1890/32/666 1891/32/666 1892/32/666 \nf 1893/32/666 1889/32/666 1892/32/666 1894/32/666 \nf 1895/32/666 1893/32/666 1894/32/666 1896/32/666 \nf 1897/32/666 1895/32/666 1896/32/666 1898/32/666 \nf 1899/32/666 1897/32/666 1898/32/666 1900/32/666 \nf 1901/32/666 1899/32/666 1900/32/666 1902/32/666 \nf 1903/32/666 1901/32/666 1902/32/666 1904/32/666 \nf 1905/32/666 1903/32/666 1904/32/666 1906/32/666 \nf 1907/32/666 1905/32/666 1906/32/666 1908/32/666 \nf 1909/32/666 1907/32/666 1908/32/666 1910/32/666 \nf 1911/32/666 1909/32/666 1910/32/666 1912/32/666 \nf 1913/32/667 1912/32/667 1910/32/668 1914/32/668 \nf 1914/32/668 1910/32/668 1908/32/669 1915/32/669 \nf 1915/32/669 1908/32/669 1906/32/670 1916/32/670 \nf 1906/32/670 1904/32/671 1917/32/671 1916/32/670 \nf 1904/32/671 1902/32/672 1918/32/672 1917/32/671 \nf 1902/32/672 1900/32/673 1919/32/673 1918/32/672 \nf 1900/32/673 1898/32/674 1920/32/674 1919/32/673 \nf 1898/32/674 1896/32/675 1921/32/675 1920/32/674 \nf 1896/32/675 1894/32/676 1922/32/676 1921/32/675 \nf 1892/32/677 1923/32/677 1922/32/676 1894/32/676 \nf 1891/32/678 1924/32/678 1923/32/677 1892/32/677 \nf 1890/32/679 1925/32/679 1924/32/678 1891/32/678 \nf 1889/32/680 1926/32/680 1925/32/679 1890/32/679 \nf 1893/32/681 1927/32/681 1926/32/680 1889/32/680 \nf 1895/32/682 1928/32/682 1927/32/681 1893/32/681 \nf 1895/32/682 1897/32/683 1929/32/683 1928/32/682 \nf 1897/32/683 1899/32/684 1930/32/684 1929/32/683 \nf 1899/32/684 1901/32/685 1931/32/685 1930/32/684 \nf 1901/32/685 1903/32/686 1932/32/686 1931/32/685 \nf 1903/32/686 1905/32/687 1933/32/687 1932/32/686 \nf 1905/32/687 1907/32/688 1934/32/688 1933/32/687 \nf 1934/32/688 1907/32/688 1909/32/689 1935/32/689 \nf 1935/32/689 1909/32/689 1911/32/690 1936/32/690 \nf 1936/32/690 1911/32/690 1912/32/667 1913/32/667 \n# 35 polygons\n\n#\n# object Component_1_002\n#\n\nv  -3978.6194 8408.9873 -3601.1833\nv  -3990.4656 8408.9873 -3691.1650\nv  -3978.6194 8408.9873 -3781.1465\nv  -3943.8877 8408.9873 -3864.9961\nv  -3943.8877 8408.9873 -3517.3337\nv  -3888.6377 8408.9873 -3936.9995\nv  -3888.6377 8408.9873 -3445.3303\nv  -3816.6343 8408.9873 -3992.2495\nv  -3816.6343 8408.9873 -3390.0803\nv  -3732.7847 8408.9873 -4026.9812\nv  -3732.7847 8408.9873 -3355.3486\nv  -3642.8030 8408.9873 -4038.8274\nv  -3642.8030 8408.9873 -3343.5024\nv  -3552.8213 8408.9873 -4026.9812\nv  -3552.8213 8408.9873 -3355.3486\nv  -3468.9719 8408.9873 -3992.2495\nv  -3468.9719 8408.9873 -3390.0803\nv  -3396.9685 8408.9873 -3936.9995\nv  -3396.9685 8408.9873 -3445.3303\nv  -3341.7185 8408.9873 -3864.9961\nv  -3341.7185 8408.9873 -3517.3337\nv  -3306.9868 8408.9873 -3781.1465\nv  -3306.9868 8408.9873 -3601.1833\nv  -3295.1406 8408.9873 -3691.1650\nv  -3295.1406 8507.4121 -3691.1650\nv  -3306.9868 8507.4121 -3781.1465\nv  -3341.7185 8507.4121 -3864.9961\nv  -3396.9685 8507.4121 -3936.9995\nv  -3468.9719 8507.4121 -3992.2495\nv  -3552.8213 8507.4121 -4026.9812\nv  -3642.8030 8507.4121 -4038.8274\nv  -3732.7847 8507.4121 -4026.9812\nv  -3816.6343 8507.4121 -3992.2495\nv  -3888.6377 8507.4121 -3936.9995\nv  -3943.8877 8507.4121 -3864.9961\nv  -3978.6194 8507.4121 -3781.1465\nv  -3990.4656 8507.4121 -3691.1650\nv  -3978.6194 8507.4121 -3601.1833\nv  -3943.8877 8507.4121 -3517.3337\nv  -3888.6377 8507.4121 -3445.3303\nv  -3816.6343 8507.4121 -3390.0803\nv  -3732.7847 8507.4121 -3355.3486\nv  -3642.8030 8507.4121 -3343.5024\nv  -3552.8213 8507.4121 -3355.3486\nv  -3468.9719 8507.4121 -3390.0803\nv  -3396.9685 8507.4121 -3445.3303\nv  -3341.7185 8507.4121 -3517.3337\nv  -3306.9868 8507.4121 -3601.1833\n# 48 vertices\n\nvn 0.0000 -1.0000 -0.0000\nvn 1.0000 0.0000 -0.0000\nvn 0.9659 0.0000 -0.2588\nvn 0.8660 0.0000 -0.5000\nvn 0.7071 0.0000 -0.7071\nvn 0.5000 0.0000 -0.8660\nvn 0.2588 0.0000 -0.9659\nvn 0.0000 0.0000 -1.0000\nvn -0.2588 0.0000 -0.9659\nvn -0.5000 0.0000 -0.8660\nvn -0.7071 0.0000 -0.7071\nvn -0.8660 0.0000 -0.5000\nvn -0.9659 0.0000 -0.2588\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 0.0000 0.2588\nvn -0.8660 0.0000 0.5000\nvn -0.7071 0.0000 0.7071\nvn -0.5000 0.0000 0.8660\nvn -0.2588 0.0000 0.9659\nvn -0.0000 0.0000 1.0000\nvn 0.2588 0.0000 0.9659\nvn 0.5000 0.0000 0.8660\nvn 0.7071 0.0000 0.7071\nvn 0.8660 0.0000 0.5000\nvn 0.9659 0.0000 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_002\nusemtl wire_229166215\ns off\nf 1937/33/691 1938/33/691 1939/33/691 1940/33/691 \nf 1941/33/691 1937/33/691 1940/33/691 1942/33/691 \nf 1943/33/691 1941/33/691 1942/33/691 1944/33/691 \nf 1945/33/691 1943/33/691 1944/33/691 1946/33/691 \nf 1947/33/691 1945/33/691 1946/33/691 1948/33/691 \nf 1949/33/691 1947/33/691 1948/33/691 1950/33/691 \nf 1951/33/691 1949/33/691 1950/33/691 1952/33/691 \nf 1953/33/691 1951/33/691 1952/33/691 1954/33/691 \nf 1955/33/691 1953/33/691 1954/33/691 1956/33/691 \nf 1957/33/691 1955/33/691 1956/33/691 1958/33/691 \nf 1959/33/691 1957/33/691 1958/33/691 1960/33/691 \nf 1961/33/692 1960/33/692 1958/33/693 1962/33/693 \nf 1962/33/693 1958/33/693 1956/33/694 1963/33/694 \nf 1963/33/694 1956/33/694 1954/33/695 1964/33/695 \nf 1954/33/695 1952/33/696 1965/33/696 1964/33/695 \nf 1952/33/696 1950/33/697 1966/33/697 1965/33/696 \nf 1950/33/697 1948/33/698 1967/33/698 1966/33/697 \nf 1948/33/698 1946/33/699 1968/33/699 1967/33/698 \nf 1946/33/699 1944/33/700 1969/33/700 1968/33/699 \nf 1944/33/700 1942/33/701 1970/33/701 1969/33/700 \nf 1940/33/702 1971/33/702 1970/33/701 1942/33/701 \nf 1939/33/703 1972/33/703 1971/33/702 1940/33/702 \nf 1938/33/704 1973/33/704 1972/33/703 1939/33/703 \nf 1937/33/705 1974/33/705 1973/33/704 1938/33/704 \nf 1941/33/706 1975/33/706 1974/33/705 1937/33/705 \nf 1943/33/707 1976/33/707 1975/33/706 1941/33/706 \nf 1943/33/707 1945/33/708 1977/33/708 1976/33/707 \nf 1945/33/708 1947/33/709 1978/33/709 1977/33/708 \nf 1947/33/709 1949/33/710 1979/33/710 1978/33/709 \nf 1949/33/710 1951/33/711 1980/33/711 1979/33/710 \nf 1951/33/711 1953/33/712 1981/33/712 1980/33/711 \nf 1953/33/712 1955/33/713 1982/33/713 1981/33/712 \nf 1982/33/713 1955/33/713 1957/33/714 1983/33/714 \nf 1983/33/714 1957/33/714 1959/33/715 1984/33/715 \nf 1984/33/715 1959/33/715 1960/33/692 1961/33/692 \n# 35 polygons\n\n#\n# object Component_1_001\n#\n\nv  3317.9341 8408.9873 -3590.6990\nv  3306.0879 8408.9873 -3680.6807\nv  3317.9341 8408.9873 -3770.6621\nv  3352.6658 8408.9873 -3854.5117\nv  3352.6658 8408.9873 -3506.8494\nv  3407.9158 8408.9873 -3926.5151\nv  3407.9158 8408.9873 -3434.8459\nv  3479.9192 8408.9873 -3981.7651\nv  3479.9192 8408.9873 -3379.5959\nv  3563.7688 8408.9873 -4016.4968\nv  3563.7688 8408.9873 -3344.8643\nv  3653.7505 8408.9873 -4028.3430\nv  3653.7505 8408.9873 -3333.0181\nv  3743.7319 8408.9873 -4016.4968\nv  3743.7319 8408.9873 -3344.8643\nv  3827.5815 8408.9873 -3981.7651\nv  3827.5815 8408.9873 -3379.5959\nv  3899.5850 8408.9873 -3926.5151\nv  3899.5850 8408.9873 -3434.8459\nv  3954.8350 8408.9873 -3854.5117\nv  3954.8350 8408.9873 -3506.8494\nv  3989.5667 8408.9873 -3770.6621\nv  3989.5667 8408.9873 -3590.6990\nv  4001.4128 8408.9873 -3680.6807\nv  4001.4128 8507.4121 -3680.6807\nv  3989.5667 8507.4121 -3770.6621\nv  3954.8350 8507.4121 -3854.5117\nv  3899.5850 8507.4121 -3926.5151\nv  3827.5815 8507.4121 -3981.7651\nv  3743.7319 8507.4121 -4016.4968\nv  3653.7505 8507.4121 -4028.3430\nv  3563.7688 8507.4121 -4016.4968\nv  3479.9192 8507.4121 -3981.7651\nv  3407.9158 8507.4121 -3926.5151\nv  3352.6658 8507.4121 -3854.5117\nv  3317.9341 8507.4121 -3770.6621\nv  3306.0879 8507.4121 -3680.6807\nv  3317.9341 8507.4121 -3590.6990\nv  3352.6658 8507.4121 -3506.8494\nv  3407.9158 8507.4121 -3434.8459\nv  3479.9192 8507.4121 -3379.5959\nv  3563.7688 8507.4121 -3344.8643\nv  3653.7505 8507.4121 -3333.0181\nv  3743.7319 8507.4121 -3344.8643\nv  3827.5815 8507.4121 -3379.5959\nv  3899.5850 8507.4121 -3434.8459\nv  3954.8350 8507.4121 -3506.8494\nv  3989.5667 8507.4121 -3590.6990\n# 48 vertices\n\nvn 0.0000 -1.0000 -0.0000\nvn 1.0000 0.0000 -0.0000\nvn 0.9659 0.0000 -0.2588\nvn 0.8660 0.0000 -0.5000\nvn 0.7071 0.0000 -0.7071\nvn 0.5000 0.0000 -0.8660\nvn 0.2588 0.0000 -0.9659\nvn 0.0000 0.0000 -1.0000\nvn -0.2588 0.0000 -0.9659\nvn -0.5000 0.0000 -0.8660\nvn -0.7071 0.0000 -0.7071\nvn -0.8660 0.0000 -0.5000\nvn -0.9659 0.0000 -0.2588\nvn -1.0000 0.0000 -0.0000\nvn -0.9659 0.0000 0.2588\nvn -0.8660 0.0000 0.5000\nvn -0.7071 0.0000 0.7071\nvn -0.5000 0.0000 0.8660\nvn -0.2588 0.0000 0.9659\nvn -0.0000 0.0000 1.0000\nvn 0.2588 0.0000 0.9659\nvn 0.5000 0.0000 0.8660\nvn 0.7071 0.0000 0.7071\nvn 0.8660 0.0000 0.5000\nvn 0.9659 0.0000 0.2588\n# 25 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_1_001\nusemtl wire_134110008\ns off\nf 1985/34/716 1986/34/716 1987/34/716 1988/34/716 \nf 1989/34/716 1985/34/716 1988/34/716 1990/34/716 \nf 1991/34/716 1989/34/716 1990/34/716 1992/34/716 \nf 1993/34/716 1991/34/716 1992/34/716 1994/34/716 \nf 1995/34/716 1993/34/716 1994/34/716 1996/34/716 \nf 1997/34/716 1995/34/716 1996/34/716 1998/34/716 \nf 1999/34/716 1997/34/716 1998/34/716 2000/34/716 \nf 2001/34/716 1999/34/716 2000/34/716 2002/34/716 \nf 2003/34/716 2001/34/716 2002/34/716 2004/34/716 \nf 2005/34/716 2003/34/716 2004/34/716 2006/34/716 \nf 2007/34/716 2005/34/716 2006/34/716 2008/34/716 \nf 2009/34/717 2008/34/717 2006/34/718 2010/34/718 \nf 2010/34/718 2006/34/718 2004/34/719 2011/34/719 \nf 2011/34/719 2004/34/719 2002/34/720 2012/34/720 \nf 2002/34/720 2000/34/721 2013/34/721 2012/34/720 \nf 2000/34/721 1998/34/722 2014/34/722 2013/34/721 \nf 1998/34/722 1996/34/723 2015/34/723 2014/34/722 \nf 1996/34/723 1994/34/724 2016/34/724 2015/34/723 \nf 1994/34/724 1992/34/725 2017/34/725 2016/34/724 \nf 1992/34/725 1990/34/726 2018/34/726 2017/34/725 \nf 1988/34/727 2019/34/727 2018/34/726 1990/34/726 \nf 1987/34/728 2020/34/728 2019/34/727 1988/34/727 \nf 1986/34/729 2021/34/729 2020/34/728 1987/34/728 \nf 1985/34/730 2022/34/730 2021/34/729 1986/34/729 \nf 1989/34/731 2023/34/731 2022/34/730 1985/34/730 \nf 1991/34/732 2024/34/732 2023/34/731 1989/34/731 \nf 1991/34/732 1993/34/733 2025/34/733 2024/34/732 \nf 1993/34/733 1995/34/734 2026/34/734 2025/34/733 \nf 1995/34/734 1997/34/735 2027/34/735 2026/34/734 \nf 1997/34/735 1999/34/736 2028/34/736 2027/34/735 \nf 1999/34/736 2001/34/737 2029/34/737 2028/34/736 \nf 2001/34/737 2003/34/738 2030/34/738 2029/34/737 \nf 2030/34/738 2003/34/738 2005/34/739 2031/34/739 \nf 2031/34/739 2005/34/739 2007/34/740 2032/34/740 \nf 2032/34/740 2007/34/740 2008/34/717 2009/34/717 \n# 35 polygons\n\n#\n# object Component_2_001\n#\n\nv  -4217.2612 8507.4121 4217.2612\nv  -4253.7065 8507.4121 -4253.7056\nv  -4253.7065 8507.4121 4253.7065\nv  4253.7056 8507.4121 4253.7065\nv  4217.2612 8507.4121 4217.2612\nv  4217.2612 8507.4121 -4217.2612\nv  4253.7056 8507.4121 -4253.7056\nv  -4217.2612 8507.4121 -4217.2612\nv  -3990.9297 8507.4121 3628.6675\nv  -3979.0835 8507.4121 3718.6492\nv  -3944.3518 8507.4121 3802.4988\nv  -3889.1018 8507.4121 3874.5020\nv  -3817.0986 8507.4121 3929.7520\nv  -3733.2490 8507.4121 3964.4836\nv  -3643.2673 8507.4121 3976.3301\nv  -3553.2856 8507.4121 3964.4836\nv  -3469.4360 8507.4121 3929.7520\nv  -3397.4326 8507.4121 3874.5020\nv  -3342.1826 8507.4121 3802.4988\nv  -3307.4512 8507.4121 3718.6492\nv  -3295.6047 8507.4121 3628.6675\nv  3560.6118 8507.4121 3960.9282\nv  3650.5933 8507.4121 3972.7744\nv  3740.5752 8507.4121 3960.9282\nv  3824.4243 8507.4121 3926.1965\nv  3896.4277 8507.4121 3870.9465\nv  3951.6782 8507.4121 3798.9434\nv  3986.4097 8507.4121 3715.0938\nv  3998.2554 8507.4121 3625.1121\nv  4001.4116 8507.4121 -3680.6802\nv  3989.5649 8507.4121 -3770.6616\nv  3954.8345 8507.4121 -3854.5117\nv  3899.5840 8507.4121 -3926.5151\nv  3827.5806 8507.4121 -3981.7642\nv  3743.7310 8507.4121 -4016.4966\nv  3653.7495 8507.4121 -4028.3433\nv  3563.7671 8507.4121 -4016.4966\nv  -3295.1416 8507.4121 -3691.1650\nv  -3306.9878 8507.4121 -3781.1465\nv  -3341.7195 8507.4121 -3864.9961\nv  -3396.9695 8507.4121 -3936.9995\nv  -3468.9729 8507.4121 -3992.2495\nv  -3552.8223 8507.4121 -4026.9810\nv  -3642.8042 8507.4121 -4038.8276\nv  -3732.7856 8507.4121 -4026.9810\nv  -3816.6353 8507.4121 -3992.2495\nv  -3888.6387 8507.4121 -3936.9995\nv  -3943.8887 8507.4121 -3864.9961\nv  -3978.6201 8507.4121 -3781.1465\nv  -3990.4666 8507.4121 -3691.1650\nv  -3979.0835 8507.4121 3538.6858\nv  -3978.6201 8507.4121 -3601.1831\nv  -3944.3518 8507.4121 3454.8364\nv  -3943.8887 8507.4121 -3517.3335\nv  -3889.1018 8507.4121 3382.8330\nv  -3888.6387 8507.4121 -3445.3306\nv  -3817.0986 8507.4121 3327.5830\nv  -3816.6353 8507.4121 -3390.0801\nv  -3733.2490 8507.4121 3292.8513\nv  -3732.7856 8507.4121 -3355.3491\nv  -3643.2673 8507.4121 3281.0049\nv  -3642.8042 8507.4121 -3343.5024\nv  -3553.2856 8507.4121 3292.8513\nv  -3552.8223 8507.4121 -3355.3491\nv  -3469.4360 8507.4121 3327.5830\nv  -3468.9729 8507.4121 -3390.0801\nv  -3397.4326 8507.4121 3382.8330\nv  -3396.9695 8507.4121 -3445.3306\nv  -3342.1826 8507.4121 3454.8364\nv  -3341.7195 8507.4121 -3517.3335\nv  -3307.4512 8507.4121 3538.6858\nv  -3306.9878 8507.4121 -3601.1831\nv  3404.7583 8507.4121 3870.9465\nv  3476.7617 8507.4121 3926.1965\nv  3349.5083 8507.4121 3798.9434\nv  3314.7773 8507.4121 3715.0938\nv  3302.9307 8507.4121 3625.1121\nv  3306.0869 8507.4121 -3680.6802\nv  3317.9326 8507.4121 -3770.6616\nv  3352.6646 8507.4121 -3854.5117\nv  3407.9150 8507.4121 -3926.5151\nv  3479.9180 8507.4121 -3981.7642\nv  3314.7773 8507.4121 3535.1304\nv  3317.9326 8507.4121 -3590.6982\nv  3349.5083 8507.4121 3451.2808\nv  3352.6646 8507.4121 -3506.8491\nv  3404.7583 8507.4121 3379.2773\nv  3407.9150 8507.4121 -3434.8457\nv  3476.7617 8507.4121 3324.0273\nv  3479.9180 8507.4121 -3379.5957\nv  3560.6118 8507.4121 3289.2959\nv  3563.7671 8507.4121 -3344.8638\nv  3650.5933 8507.4121 3277.4495\nv  3653.7495 8507.4121 -3333.0181\nv  3740.5752 8507.4121 3289.2959\nv  3743.7310 8507.4121 -3344.8638\nv  3824.4243 8507.4121 3324.0273\nv  3827.5806 8507.4121 -3379.5957\nv  3896.4277 8507.4121 3379.2773\nv  3899.5840 8507.4121 -3434.8457\nv  3951.6782 8507.4121 3451.2808\nv  3954.8345 8507.4121 -3506.8491\nv  3986.4097 8507.4121 3535.1304\nv  3989.5649 8507.4121 -3590.6982\n# 104 vertices\n\nvn 0.0000 1.0000 -0.0000\n# 1 vertex normals\n\nvt 0.0000 0.0000 0.0000\n# 1 texture coords\n\ng Component_2_001\nusemtl wire_177028149\ns off\nf 2033/35/741 2034/35/741 2035/35/741 2036/35/741 \nf 2037/35/741 2033/35/741 2036/35/741 2038/35/741 \nf 2038/35/741 2036/35/741 2039/35/741 2040/35/741 \nf 2040/35/741 2039/35/741 2034/35/741 2033/35/741 \nf 2041/35/741 2040/35/741 2033/35/741 2042/35/741 \nf 2043/35/741 2042/35/741 2033/35/741 2044/35/741 \nf 2045/35/741 2044/35/741 2033/35/741 2046/35/741 \nf 2047/35/741 2046/35/741 2033/35/741 2037/35/741 \nf 2048/35/741 2047/35/741 2037/35/741 2049/35/741 \nf 2050/35/741 2049/35/741 2037/35/741 2051/35/741 \nf 2052/35/741 2051/35/741 2037/35/741 2053/35/741 \nf 2054/35/741 2053/35/741 2037/35/741 2055/35/741 \nf 2056/35/741 2055/35/741 2037/35/741 2057/35/741 \nf 2058/35/741 2057/35/741 2037/35/741 2059/35/741 \nf 2060/35/741 2059/35/741 2037/35/741 2061/35/741 \nf 2062/35/741 2061/35/741 2037/35/741 2038/35/741 \nf 2063/35/741 2062/35/741 2038/35/741 2064/35/741 \nf 2065/35/741 2064/35/741 2038/35/741 2066/35/741 \nf 2067/35/741 2066/35/741 2038/35/741 2068/35/741 \nf 2069/35/741 2068/35/741 2038/35/741 2070/35/741 \nf 2071/35/741 2070/35/741 2038/35/741 2072/35/741 \nf 2073/35/741 2072/35/741 2038/35/741 2074/35/741 \nf 2075/35/741 2074/35/741 2038/35/741 2076/35/741 \nf 2076/35/741 2038/35/741 2040/35/741 2077/35/741 \nf 2078/35/741 2077/35/741 2040/35/741 2079/35/741 \nf 2080/35/741 2079/35/741 2040/35/741 2081/35/741 \nf 2082/35/741 2081/35/741 2040/35/741 2041/35/741 \nf 2082/35/741 2041/35/741 2083/35/741 2084/35/741 \nf 2084/35/741 2083/35/741 2085/35/741 2086/35/741 \nf 2086/35/741 2085/35/741 2087/35/741 2088/35/741 \nf 2088/35/741 2087/35/741 2089/35/741 2090/35/741 \nf 2090/35/741 2089/35/741 2091/35/741 2092/35/741 \nf 2092/35/741 2091/35/741 2093/35/741 2094/35/741 \nf 2094/35/741 2093/35/741 2095/35/741 2096/35/741 \nf 2096/35/741 2095/35/741 2097/35/741 2098/35/741 \nf 2098/35/741 2097/35/741 2099/35/741 2100/35/741 \nf 2100/35/741 2099/35/741 2101/35/741 2102/35/741 \nf 2102/35/741 2101/35/741 2103/35/741 2104/35/741 \nf 2104/35/741 2103/35/741 2053/35/741 2070/35/741 \nf 2105/35/741 2070/35/741 2053/35/741 2106/35/741 \nf 2053/35/741 2054/35/741 2106/35/741 \nf 2070/35/741 2105/35/741 2107/35/741 2108/35/741 \nf 2070/35/741 2108/35/741 2109/35/741 2110/35/741 \nf 2070/35/741 2110/35/741 2111/35/741 2112/35/741 \nf 2070/35/741 2112/35/741 2113/35/741 2114/35/741 \nf 2069/35/741 2070/35/741 2114/35/741 \nf 2110/35/741 2109/35/741 2115/35/741 2116/35/741 \nf 2116/35/741 2115/35/741 2117/35/741 2118/35/741 \nf 2118/35/741 2117/35/741 2119/35/741 2120/35/741 \nf 2120/35/741 2119/35/741 2121/35/741 2122/35/741 \nf 2122/35/741 2121/35/741 2123/35/741 2124/35/741 \nf 2124/35/741 2123/35/741 2125/35/741 2126/35/741 \nf 2126/35/741 2125/35/741 2127/35/741 2128/35/741 \nf 2128/35/741 2127/35/741 2129/35/741 2130/35/741 \nf 2130/35/741 2129/35/741 2131/35/741 2132/35/741 \nf 2132/35/741 2131/35/741 2133/35/741 2134/35/741 \nf 2134/35/741 2133/35/741 2135/35/741 2136/35/741 \nf 2136/35/741 2135/35/741 2061/35/741 2062/35/741 \n# 56 polygons - 2 triangles\n\n"
  },
  {
    "path": "obj2js/coin.obj",
    "content": "# WaveFront *.obj file (generated by CINEMA 4D)\n\ng Block\nusemtl Block\nv 34.937191 40.051856 -34.854415\nv 34.92883 34.84814 -40.049767\nv 40.132543 34.802165 -34.800079\nv 34.92883 0.002088 -40.049767\nv 40.132543 0.002088 -34.800079\nv 21.474416 34.84814 -40.049767\nv 21.474416 21.201462 -40.049767\nv 34.92883 21.201462 -40.049767\nv 40.132543 21.172202 -34.800079\nv 40.132543 34.802165 -21.170116\nv 40.132543 21.172202 -21.170116\nv 34.937191 40.051856 34.854415\nv 34.92883 34.84814 40.049767\nv 40.132543 34.802165 34.800079\nv 34.92883 0.002088 40.049767\nv 40.132543 0.002088 34.800079\nv 21.474416 34.84814 40.049767\nv 21.474416 21.201462 40.049767\nv 34.92883 21.201462 40.049767\nv 40.132543 21.172202 34.800079\nv 40.132543 34.802165 21.170116\nv 40.132543 21.172202 21.170116\nv 34.937191 -40.051856 -34.854415\nv 34.92883 -34.848145 -40.049767\nv 40.132543 -34.802169 -34.800079\nv 21.474416 -34.848145 -40.049767\nv 21.474416 -21.201467 -40.049767\nv 34.92883 -21.201467 -40.049767\nv 40.132543 -21.172207 -34.800079\nv 40.132543 -34.802169 -21.170116\nv 40.132543 -21.172207 -21.170116\nv 34.937191 -40.051856 34.854415\nv 34.92883 -34.848145 40.049767\nv 40.132543 -34.802169 34.800079\nv 21.474416 -21.201467 40.049767\nv 34.92883 -21.201467 40.049767\nv 40.132543 -21.172207 34.800079\nv 40.132543 -34.802169 21.170116\nv 40.132543 -21.172207 21.170116\nv 40.132543 0.002088 -21.169478\nv 21.474217 40.051856 34.854415\nv 21.474217 40.051856 -34.854415\nv 21.472598 0.002088 40.049767\nv 21.200381 -40.051856 -20.824486\nv 21.538567 -34.872942 40.025012\nv 21.620513 -40.051856 34.854415\nv 34.937191 -40.051856 20.615547\nv 21.094928 -40.051856 -34.854415\nv 34.937191 -40.051856 -20.824486\nv 21.511859 -40.051856 20.615545\nv 21.472301 0.002088 -40.049767\nv 34.937191 40.051856 -21.169951\nv 21.474217 40.051856 -21.169951\nv 40.132543 0.002088 21.168896\nv 34.937191 40.051856 21.320834\nv 21.474217 40.051856 21.320842\nv 34.92883 24.149431 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0.73452 0.08932 0\nvt 0.73403 0.08706 0\nvt 0.73374 0.08485 0\nvt 0.73935 0.06939 0\nvt 0.76516 0.09032 0\nvt 0.76494 0.09223 0\nvt 0.76255 0.0976 0\nvt 0.76129 0.09916 0\nvt 0.75986 0.10055 0\nvt 0.7583 0.1017 0\nvt 0.54996 0.37428 0\nvt 0.55187 0.37451 0\nvt 0.5602 0.37463 0\nvt 0.55616 0.34815 0\nvt 0.55033 0.3461 0\nvt 0.5444 0.3469 0\nvt 0.54262 0.34774 0\nvt 0.53939 0.35024 0\nvt 0.53705 0.35368 0\nvt 0.53633 0.35565 0\nvt 0.5374 0.3653 0\nvt 0.54113 0.3704 0\nvt 0.17211 0.51396 0\nvt 0.17148 0.53019 0\nvt 0.98917 0.221 0\nvt 0.33081 0.22069 0\nvt 0.34113 0.25643 0\nvt 0.17921 0.53205 0\nvt 0.18326 0.53225 0\nvt 0.1871 0.53207 0\nvt 0.18896 0.53177 0\nvt 0.19079 0.53124 0\nvt 0.19253 0.53046 0\nvt 0.19409 0.52943 0\nvt 0.1954 0.52814 0\nvt 0.19713 0.52508 0\nvt 0.19755 0.52347 0\nvt 0.19769 0.52199 0\nvt 0.19438 0.51472 0\nvt 0.19287 0.5138 0\nvt 0.18938 0.51276 0\nvt 0.18757 0.5126 0\nvt 0.18568 0.51252 0\nvt 0.1837 0.51254 0\nvt 0.17613 0.51317 0\nvt 0.96832 0.18895 0\nvt 0.96652 0.18966 0\nvt 0.3427 0.4945 0\nvt 0.95669 0.18926 0\nvt 0.95226 0.18606 0\nvt 0.95135 0.18471 0\nvt 0.95052 0.18319 0\nvt 0.94994 0.18157 0\nvt 0.95135 0.17393 0\nvt 0.13412 0.48344 0\nvt 0.13518 0.48465 0\nvt 0.1362 0.48589 0\nvt 0.98138 0.17701 0\nvt 0.13708 0.48718 0\nvt 0.98045 0.17829 0\nvt 0.13771 0.48846 0\nvt 0.97937 0.17956 0\nvt 0.13806 0.48987 0\nvt 0.97862 0.18078 0\nvt 0.9776 0.18204 0\nvt 0.97637 0.18333 0\nvt 0.33905 0.50852 0\nvt 0.33941 0.51062 0\nvt 0.34111 0.51446 0\nvt 0.34238 0.51607 0\nvt 0.34384 0.5174 0\nvt 0.34543 0.51843 0\nvt 0.34707 0.51913 0\nvt 0.34873 0.5195 0\nvt 0.43325 0.47146 0\nvt 0.37094 0.50449 0\nvt 0.35 0.52044 0\nvt 0.43238 0.47008 0\nvt 0.37011 0.49747 0\nvt 0.36949 0.49554 0\nvt 0.36772 0.49193 0\nvt 0.36533 0.48926 0\nvt 0.36206 0.48754 0\nvt 0.36009 0.48702 0\nvt 0.35578 0.48679 0\nvt 0.35357 0.48711 0\nvt 0.34942 0.48856 0\nvt 0.38787 0.41231 0\nvt 0.3404 0.49904 0\nvt 0.33899 0.50631 0\nvt 0.90904 0.06305 0\nvt 0.90745 0.06263 0\nvt 0.90333 0.05971 0\nvt 0.90105 0.055 0\nvt 0.90167 0.0479 0\nvt 0.90254 0.04613 0\nvt 0.90368 0.0445 0\nvt 0.90504 0.04304 0\nvt 0.90994 0.04006 0\nvt 0.91166 0.0396 0\nvt 0.91976 0.03865 0\nvt 0.92167 0.03869 0\nvt 0.92344 0.03883 0\nvt 0.92633 0.03948 0\nvt 0.09295 0.3648 0\nvt 0.09337 0.36611 0\nvt 0.92795 0.03977 0\nvt 0.09355 0.36762 0\nvt 0.09356 0.36919 0\nvt 0.09347 0.37078 0\nvt 0.91553 0.06305 0\nvt 0.91392 0.06302 0\nvt 0.91224 0.06301 0\nvt 0.39048 0.44636 0\nvt 0.39222 0.44721 0\nvt 0.39407 0.44781 0\nvt 0.39598 0.44816 0\nvt 0.39972 0.44809 0\nvt 0.40915 0.4438 0\nvt 0.3998 0.40982 0\nvt 0.39401 0.40885 0\nvt 0.39236 0.4093 0\nvt 0.33849 0.25807 0\nvt 0.31314 0.24693 0\nvt 0.38397 0.41782 0\nvt 0.38291 0.41999 0\nvt 0.38133 0.42905 0\nvt 0.38211 0.43377 0\nvt 0.38283 0.43613 0\nvt 0.38376 0.4384 0\nvt 0.38614 0.44242 0\nvt 0.38754 0.44403 0\nvt 0.33235 0.22019 0\nvt 0.33994 0.25737 0\nvt 0.32032 0.22333 0\nvt 0.3417 0.24791 0\nvt 0.32919 0.22107 0\nvt 0.34198 0.25527 0\nvt 0.32574 0.22175 0\nvt 0.34271 0.25247 0\nvt 0.32395 0.22216 0\nvt 0.34264 0.25094 0\nvt 0.31867 0.22388 0\nvt 0.31554 0.2258 0\nvt 0.33347 0.2594 0\nvt 0.32259 0.25709 0\nvt 0.31033 0.23549 0\nvt 0.31037 0.23762 0\nvt 0.31069 0.23989 0\nvt 0.32052 0.25592 0\nvt 0.11895 0.30792 0\n\nf 79/87 104/120 101/117 86/98 \nf 72/78 64/70 60/63 68/74 \nf 137/157 67/73 59/62 135/154 \nf 66/72 58/60 57/58 65/71 \nf 94/110 92/107 61/65 69/75 \nf 383/426 418/472 419/473 384/427 \nf 4/4 5/5 29/29 28/28 \nf 8/8 9/9 5/5 4/4 \nf 328/368 471/542 470/540 \nf 328/368 470/540 469/538 \nf 472/544 471/542 328/368 360/400 \nf 328/368 469/538 1350/1467 \nf 1351/1468 472/543 360/401 \nf 328/368 1350/1467 468/536 \nf 473/545 1351/1468 360/401 \nf 328/368 468/536 1349/1465 \nf 474/546 473/545 360/401 \nf 328/368 1349/1465 467/534 \nf 475/547 474/546 360/401 \nf 476/548 475/547 360/401 \nf 328/368 467/534 1348/1463 \nf 1352/1469 476/548 360/401 \nf 328/368 1348/1463 466/532 \nf 1353/1470 1352/1469 360/401 \nf 328/368 466/532 465/531 \nf 458/524 1353/1470 360/401 \nf 464/530 329/369 328/368 465/531 \nf 456/522 458/524 360/401 361/402 \nf 329/369 464/530 1347/1461 \nf 454/520 456/522 361/402 \nf 329/369 1347/1461 462/528 \nf 329/369 462/528 1346/1460 \nf 460/526 454/520 361/402 \nf 329/369 1346/1460 1345/1459 \nf 455/521 460/526 361/402 \nf 461/527 455/521 361/402 \nf 329/369 1345/1459 1344/1458 \nf 457/523 461/527 361/402 \nf 329/369 1344/1458 1343/1457 \nf 1341/1455 457/523 361/402 \nf 329/369 1343/1457 463/529 \nf 1342/1456 1341/1455 361/402 \nf 329/369 463/529 459/525 \nf 459/525 1342/1456 361/402 \nf 459/525 361/402 329/369 \nf 70/76 14/14 13/13 69/75 \nf 115/133 113/130 59/62 67/73 \nf 100/116 27/27 51/51 110/126 \nf 132/150 118/136 7/7 51/51 \nf 297/336 265/303 256/294 288/326 \nf 86/97 36/36 15/15 79/88 \nf 45/45 123/141 128/146 46/46 \nf 331/371 87/99 105/121 333/373 \nf 23/23 81/91 82/92 24/24 \nf 75/82 4/4 28/28 83/94 \nf 331/371 323/363 49/49 87/99 \nf 321/361 40/40 31/31 325/365 \nf 54/54 39/39 31/31 40/40 \nf 257/295 54/54 22/22 258/296 \nf 12/12 77/85 78/86 13/13 \nf 119/137 17/17 41/41 126/144 \nf 81/91 108/124 99/115 82/92 \nf 77/85 102/118 97/113 78/86 \nf 95/111 6/6 42/42 103/119 \nf 366/407 334/374 326/366 358/398 \nf 73/79 1/1 2/2 74/80 \nf 392/441 85/96 33/33 387/433 \nf 94/110 69/75 13/13 78/86 \nf 91/105 57/57 8/8 76/84 \nf 20/20 19/19 15/15 16/16 \nf 62/66 61/64 19/19 20/20 \nf 76/84 8/8 4/4 75/82 \nf 391/439 425/480 418/472 383/426 \nf 79/88 15/15 19/19 80/89 \nf 89/101 111/127 112/128 90/102 \nf 85/96 106/122 107/123 84/95 \nf 354/394 322/362 321/361 353/393 \nf 54/54 40/40 11/11 22/22 \nf 68/74 10/10 21/21 72/78 \nf 87/99 49/49 47/47 88/100 \nf 299/338 291/329 32/32 84/95 \nf 330/370 89/101 52/52 319/359 \nf 266/304 255/293 55/55 90/102 \nf 480/552 1622/1766 394/444 \nf 426/482 451/517 1356/1475 \nf 426/482 1356/1475 479/551 \nf 1357/1476 480/552 394/444 \nf 426/482 479/551 478/550 \nf 1358/1477 1357/1476 394/444 \nf 426/482 478/550 1355/1474 \nf 481/553 1358/1477 394/444 \nf 426/482 1355/1474 477/549 \nf 1359/1478 481/553 394/444 \nf 426/482 477/549 1354/1472 \nf 1360/1479 1359/1478 394/444 392/441 \nf 392/442 426/481 1354/1473 \nf 482/554 1360/1479 392/441 \nf 392/441 1354/1471 1363/1482 \nf 1361/1480 482/554 392/441 \nf 392/441 1363/1482 485/557 \nf 483/555 1361/1480 392/441 \nf 392/441 485/557 484/556 \nf 1362/1481 483/555 392/441 \nf 392/441 484/556 1362/1481 \nf 394/444 1622/1766 494/566 \nf 1365/1484 451/517 426/482 \nf 394/444 494/566 1372/1491 \nf 1366/1485 1365/1484 426/482 \nf 394/444 1372/1491 1371/1490 \nf 1367/1486 1366/1485 426/482 \nf 394/444 1371/1490 493/565 \nf 428/484 486/558 1367/1486 426/482 \nf 428/484 394/444 493/565 492/564 \nf 487/559 486/558 428/484 \nf 488/560 487/559 428/484 \nf 428/484 492/564 491/563 \nf 489/561 488/560 428/484 \nf 428/484 491/563 1370/1489 \nf 1368/1487 489/561 428/484 \nf 428/484 1370/1489 1369/1488 \nf 490/562 1368/1487 428/484 \nf 1369/1488 490/562 428/484 \nf 261/299 39/39 54/54 257/295 \nf 424/478 390/437 386/430 420/474 \nf 66/72 65/71 2/2 3/3 \nf 92/108 114/132 98/114 80/90 \nf 74/80 2/2 65/71 93/109 \nf 71/77 116/134 97/113 17/17 \nf 361/402 66/72 3/3 352/392 \nf 116/134 1377/1496 1376/1495 \nf 116/134 1376/1495 508/580 \nf 509/581 1377/1496 116/134 114/131 \nf 116/134 508/580 507/579 \nf 510/582 509/581 114/131 \nf 116/134 507/579 506/578 \nf 1378/1497 510/582 114/131 \nf 116/134 506/578 505/577 \nf 511/583 1378/1497 114/131 \nf 512/584 511/583 114/131 \nf 116/134 505/577 504/576 \nf 513/585 512/584 114/131 \nf 116/134 504/576 1375/1494 \nf 1379/1498 513/585 114/131 \nf 116/134 1375/1494 503/575 \nf 1380/1499 1379/1498 114/131 \nf 116/134 503/575 502/574 \nf 514/587 1380/1499 114/131 \nf 94/110 116/134 502/574 \nf 94/110 502/574 501/573 \nf 94/110 501/573 1374/1493 \nf 1381/1501 514/588 114/132 92/108 \nf 94/110 1374/1493 500/572 \nf 515/589 1381/1500 92/107 \nf 94/110 500/572 1373/1492 \nf 1382/1502 515/589 92/107 \nf 94/110 1373/1492 499/571 \nf 1383/1503 1382/1502 92/107 \nf 516/590 1383/1503 92/107 \nf 94/110 499/571 498/570 \nf 1384/1504 516/590 92/107 \nf 94/110 498/570 497/569 \nf 517/591 1384/1504 92/107 \nf 94/110 497/569 496/568 \nf 518/592 517/591 92/107 \nf 94/110 496/568 495/567 \nf 495/567 518/592 92/107 \nf 495/567 92/107 94/110 \nf 93/109 65/71 57/58 91/103 \nf 96/112 7/7 59/61 113/129 \nf 75/81 110/126 96/112 76/83 \nf 259/297 47/47 38/38 260/298 \nf 104/120 43/43 35/35 101/117 \nf 110/126 75/81 83/93 100/116 \nf 333/373 105/121 44/44 327/367 \nf 356/396 355/395 23/23 25/25 \nf 103/119 73/79 74/80 95/111 \nf 256/294 21/21 55/55 255/293 \nf 52/52 55/55 21/21 10/10 \nf 394/444 389/436 45/45 106/122 \nf 351/391 319/359 320/360 352/392 \nf 116/134 94/110 78/86 97/113 \nf 388/435 34/34 292/330 411/463 \nf 113/129 91/104 76/83 96/112 \nf 110/126 51/51 7/7 96/112 \nf 393/443 99/115 26/26 385/429 \nf 423/477 37/37 36/36 422/476 \nf 37/37 16/16 15/15 36/36 \nf 104/120 79/87 80/90 98/114 \nf 447/512 449/514 357/397 325/365 \nf 109/125 50/50 44/44 105/121 \nf 395/445 385/429 26/26 121/139 \nf 301/340 269/307 267/305 299/338 \nf 364/405 332/372 330/370 362/403 \nf 393/443 391/440 82/92 99/115 \nf 264/302 258/296 22/22 64/70 \nf 300/339 102/118 77/85 298/337 \nf 95/111 74/80 93/109 115/133 \nf 113/130 529/603 530/604 \nf 113/130 530/604 1393/1513 \nf 528/602 529/603 113/130 115/133 \nf 113/130 1393/1513 1394/1514 \nf 527/601 528/602 115/133 \nf 113/130 1394/1514 531/605 \nf 526/600 527/601 115/133 \nf 113/130 531/605 1395/1515 \nf 525/599 526/600 115/133 \nf 1392/1512 525/599 115/133 \nf 113/130 1395/1515 1396/1516 \nf 1391/1511 1392/1512 115/133 \nf 113/130 1396/1516 532/606 \nf 1390/1510 1391/1511 115/133 \nf 113/130 532/606 533/607 \nf 1389/1509 1390/1510 115/133 \nf 113/130 533/607 1397/1518 \nf 1388/1508 1389/1509 115/133 \nf 91/104 113/129 1397/1519 534/609 \nf 1388/1508 115/133 93/109 \nf 91/103 534/608 1398/1520 \nf 524/598 1388/1508 93/109 \nf 91/103 1398/1520 535/610 \nf 523/597 524/598 93/109 \nf 91/103 535/610 1399/1521 \nf 1387/1507 523/597 93/109 \nf 91/103 1399/1521 1400/1522 \nf 1386/1506 1387/1507 93/109 \nf 522/596 1386/1506 93/109 \nf 91/103 1400/1522 536/611 \nf 521/595 522/596 93/109 \nf 91/103 536/611 537/612 \nf 1385/1505 521/595 93/109 \nf 91/103 537/612 538/613 \nf 520/594 1385/1505 93/109 \nf 91/103 538/613 519/593 \nf 519/593 520/594 93/109 \nf 519/593 93/109 91/103 \nf 108/124 48/48 26/26 99/115 \nf 1/1 3/3 2/2 \nf 102/118 41/41 17/17 97/113 \nf 12/12 13/13 14/14 \nf 111/127 53/53 56/56 112/128 \nf 98/114 18/18 43/43 104/120 \nf 23/23 24/24 25/25 \nf 106/122 45/45 46/46 107/123 \nf 32/32 34/34 33/33 \nf 89/101 90/102 55/55 52/52 \nf 114/132 63/69 18/18 98/114 \nf 84/95 32/32 33/33 85/96 \nf 116/134 71/77 63/68 114/131 \nf 88/100 109/125 105/121 87/99 \nf 263/301 50/50 109/125 269/307 \nf 48/48 130/148 121/139 26/26 \nf 303/342 271/309 263/301 295/333 \nf 47/47 49/49 30/30 38/38 \nf 127/145 43/43 18/18 120/138 \nf 122/140 132/150 51/51 27/27 \nf 134/152 133/151 56/56 53/53 \nf 124/142 35/35 43/43 127/145 \nf 120/138 18/18 63/69 136/156 \nf 111/127 332/372 326/366 53/53 \nf 125/143 42/42 6/6 117/135 \nf 268/306 112/128 56/56 262/300 \nf 117/135 6/6 67/73 137/157 \nf 396/446 123/141 45/45 389/436 \nf 62/67 70/76 69/75 61/65 \nf 335/375 367/408 359/399 327/367 \nf 129/147 44/44 50/50 131/149 \nf 64/70 22/22 11/11 60/63 \nf 302/341 126/144 41/41 294/332 \nf 135/153 59/61 7/7 118/136 \nf 58/59 9/9 8/8 57/57 \nf 92/106 80/89 19/19 61/64 \nf 328/368 60/63 11/11 322/362 \nf 136/155 63/68 71/77 138/158 \nf 138/158 71/77 17/17 119/137 \nf 115/133 67/73 6/6 95/111 \nf 296/335 297/336 70/76 62/67 \nf 239/270 242/275 217/243 224/250 \nf 198/219 202/224 210/236 206/230 \nf 197/218 205/229 137/157 135/154 \nf 195/215 196/216 204/228 203/225 \nf 199/220 230/256 232/260 207/231 \nf 163/183 398/448 397/447 162/182 \nf 167/187 143/163 142/162 166/186 \nf 143/163 147/167 146/166 142/162 \nf 196/216 377/418 378/420 204/228 \nf 151/171 152/172 208/234 207/232 \nf 197/218 251/285 253/291 205/229 \nf 189/209 165/185 238/268 248/281 \nf 145/165 118/136 132/150 189/209 \nf 273/311 159/179 210/236 282/320 \nf 153/173 174/194 224/250 217/243 \nf 128/146 123/141 183/203 184/204 \nf 382/424 350/390 348/388 380/422 \nf 220/246 219/245 161/181 162/182 \nf 166/186 142/162 213/239 221/247 \nf 372/413 161/181 219/245 380/422 \nf 342/382 169/189 178/198 338/378 \nf 169/189 177/197 192/212 178/198 \nf 307/346 306/345 154/174 158/178 \nf 216/242 215/241 150/170 151/171 \nf 179/199 155/175 119/137 126/144 \nf 237/267 246/279 219/245 220/246 \nf 235/264 240/272 215/241 216/242 \nf 180/200 144/164 233/261 241/273 \nf 180/200 375/416 366/407 125/143 \nf 140/160 139/159 211/237 212/238 \nf 174/194 436/495 440/501 224/250 \nf 151/171 207/232 232/259 216/242 \nf 146/166 195/215 229/255 214/240 \nf 153/173 157/177 158/178 154/174 \nf 157/177 199/220 200/221 158/178 \nf 142/162 146/166 214/240 213/239 \nf 162/182 397/447 405/455 220/246 \nf 157/177 153/173 217/243 218/244 \nf 250/284 249/283 227/253 228/254 \nf 245/278 244/277 223/249 222/248 \nf 370/411 338/378 339/379 371/412 \nf 149/169 178/198 192/212 160/180 \nf 159/179 148/168 206/230 210/236 \nf 185/205 187/207 225/251 226/252 \nf 276/314 185/205 226/252 284/322 \nf 368/409 336/376 347/387 379/421 \nf 304/343 150/170 215/241 315/355 \nf 542/617 452/518 406/456 \nf 442/505 453/519 1403/1525 \nf 442/505 1403/1525 541/616 \nf 543/618 542/617 406/456 \nf 442/505 541/616 540/615 \nf 1405/1527 543/618 406/456 \nf 442/505 540/615 539/614 \nf 544/619 1405/1527 406/456 \nf 442/505 539/614 1402/1524 \nf 1406/1528 544/619 406/456 \nf 442/505 1402/1524 1401/1523 \nf 545/620 1406/1528 406/456 408/458 \nf 408/458 442/505 1401/1523 \nf 1407/1529 545/620 408/458 \nf 408/458 1401/1523 548/623 \nf 1408/1530 1407/1529 408/458 \nf 408/458 548/623 1410/1532 \nf 546/621 1408/1530 408/458 \nf 408/458 1410/1532 547/622 \nf 1409/1531 546/621 408/458 \nf 408/458 547/622 1409/1531 \nf 406/456 452/518 1424/1547 \nf 1411/1533 453/519 442/505 \nf 406/456 1424/1547 1423/1546 \nf 1412/1534 1411/1533 442/505 \nf 406/456 1423/1546 1422/1545 \nf 1413/1536 1412/1534 442/505 \nf 406/456 1422/1545 1421/1544 \nf 549/625 1413/1535 442/506 440/501 \nf 1414/1537 549/624 440/502 \nf 440/502 406/456 1421/1544 1420/1543 \nf 550/626 1414/1537 440/502 \nf 440/502 1420/1543 1419/1542 \nf 1415/1538 550/626 440/502 \nf 440/502 1419/1542 551/627 \nf 1416/1539 1415/1538 440/502 \nf 440/502 551/627 1418/1541 \nf 1417/1540 1416/1539 440/502 \nf 1418/1541 1417/1540 440/502 \nf 274/312 192/212 177/197 278/316 \nf 434/492 400/450 404/454 438/498 \nf 140/160 203/226 204/227 141/161 \nf 236/266 252/290 230/256 218/244 \nf 203/226 140/160 212/238 231/257 \nf 235/264 254/292 209/235 155/175 \nf 148/168 337/377 346/386 206/230 \nf 232/260 560/636 1435/1559 \nf 232/260 1435/1559 1434/1558 \nf 1436/1560 560/636 232/260 230/256 \nf 232/260 1434/1558 559/635 \nf 1437/1561 1436/1560 230/256 \nf 232/260 559/635 1433/1556 \nf 561/637 1437/1561 230/256 \nf 232/259 1433/1557 558/634 \nf 1438/1562 561/637 230/256 \nf 562/638 1438/1562 230/256 \nf 232/259 558/634 1432/1555 \nf 563/639 562/638 230/256 \nf 232/259 1432/1555 557/633 \nf 564/640 563/639 230/256 \nf 232/259 557/633 1431/1554 \nf 1439/1563 564/640 230/256 \nf 232/259 1431/1554 1430/1553 \nf 1440/1564 1439/1563 230/256 \nf 254/292 232/259 1430/1553 \nf 254/292 1430/1553 1429/1552 \nf 254/292 1429/1552 556/632 \nf 1441/1566 1440/1564 230/256 252/290 \nf 254/292 556/632 555/631 \nf 565/641 1441/1565 252/288 \nf 254/292 555/631 1428/1551 \nf 1442/1567 565/641 252/288 \nf 254/292 1428/1551 554/630 \nf 566/642 1442/1567 252/288 \nf 567/643 566/642 252/288 \nf 254/292 554/630 1427/1550 \nf 1443/1568 567/643 252/288 \nf 254/292 1427/1550 1426/1549 \nf 568/644 1443/1568 252/288 \nf 254/292 1426/1549 553/629 \nf 1444/1569 568/644 252/288 \nf 254/292 553/629 552/628 \nf 552/628 1444/1569 252/288 \nf 552/628 252/288 254/292 \nf 195/215 203/225 231/258 229/255 \nf 197/217 145/165 234/262 251/287 \nf 234/263 248/282 213/239 214/240 \nf 309/348 308/347 170/190 172/192 \nf 173/193 181/201 242/274 239/271 \nf 221/247 213/239 248/282 238/269 \nf 344/384 182/202 243/276 350/390 \nf 161/181 372/413 373/414 163/183 \nf 212/238 211/237 241/273 233/261 \nf 150/170 304/343 305/344 152/172 \nf 159/179 193/213 190/210 148/168 \nf 435/493 173/193 239/271 442/505 \nf 369/410 337/377 336/376 368/409 \nf 216/242 232/259 254/292 235/264 \nf 410/461 444/508 438/498 404/454 \nf 214/240 229/255 251/286 234/263 \nf 145/165 189/209 248/281 234/262 \nf 399/449 164/184 237/267 407/457 \nf 436/495 174/194 175/195 437/496 \nf 153/173 154/174 175/195 174/194 \nf 218/244 217/243 242/275 236/266 \nf 400/450 414/467 341/381 168/188 \nf 182/202 188/208 247/280 243/276 \nf 399/449 431/487 429/485 395/445 \nf 284/322 226/252 247/280 286/324 \nf 347/387 227/253 249/283 349/389 \nf 439/499 221/247 238/269 441/504 \nf 307/346 158/178 200/221 313/352 \nf 315/355 215/241 240/272 317/357 \nf 231/257 212/238 233/261 253/291 \nf 1453/1579 1364/1483 231/258 \nf 1452/1578 1453/1579 231/258 \nf 229/255 231/258 1364/1483 1455/1581 \nf 578/654 1452/1578 231/258 \nf 229/255 1455/1581 579/655 \nf 1451/1576 578/654 231/258 \nf 229/255 579/655 580/656 \nf 1450/1575 1451/1577 231/257 \nf 229/255 580/656 1456/1582 \nf 229/255 1456/1582 581/657 \nf 577/653 1450/1575 231/257 \nf 229/255 581/657 582/658 \nf 1449/1574 577/653 231/257 \nf 229/255 582/658 1457/1583 \nf 576/652 1449/1574 231/257 \nf 229/255 1457/1583 583/659 \nf 575/651 576/652 231/257 \nf 229/255 583/659 584/660 \nf 575/651 231/257 253/291 \nf 1448/1573 575/651 253/291 \nf 585/662 251/286 229/255 584/660 \nf 574/650 1448/1573 253/291 \nf 573/649 574/650 253/291 \nf 251/285 585/661 586/663 \nf 572/648 573/649 253/291 \nf 251/285 586/663 587/664 \nf 1447/1572 572/648 253/291 \nf 251/285 587/664 588/665 \nf 251/285 588/665 1458/1584 \nf 571/647 1447/1572 253/291 \nf 251/285 1458/1584 589/666 \nf 570/646 571/647 253/291 \nf 251/285 589/666 1459/1585 \nf 1445/1570 570/646 253/291 \nf 251/285 1459/1585 1460/1586 \nf 569/645 1445/1570 253/291 \nf 251/285 1460/1586 569/645 \nf 569/645 253/291 251/285 \nf 164/184 186/206 246/279 237/267 \nf 141/161 139/159 140/160 \nf 155/175 179/199 240/272 235/264 \nf 151/171 150/170 152/172 \nf 194/214 191/211 249/283 250/284 \nf 181/201 156/176 236/265 242/274 \nf 162/182 161/181 163/183 \nf 184/204 183/203 244/277 245/278 \nf 172/192 170/190 171/191 \nf 193/213 228/254 227/253 190/210 \nf 156/176 201/223 252/289 236/265 \nf 171/191 170/190 222/248 223/249 \nf 201/222 209/235 254/292 252/288 \nf 243/276 247/280 226/252 225/251 \nf 286/324 247/280 188/208 280/318 \nf 121/139 130/148 186/206 164/184 \nf 184/204 312/351 303/342 128/146 \nf 168/188 187/207 185/205 176/196 \nf 156/176 181/201 127/145 120/138 \nf 189/209 132/150 122/140 165/185 \nf 194/214 133/151 134/152 191/211 \nf 181/201 173/193 124/142 127/145 \nf 201/223 156/176 120/138 136/156 \nf 343/383 349/389 249/283 191/211 \nf 144/164 180/200 125/143 117/135 \nf 179/199 311/350 317/357 240/272 \nf 205/229 144/164 117/135 137/157 \nf 173/193 435/493 430/486 124/142 \nf 207/231 208/233 200/221 199/220 \nf 182/202 344/384 335/375 129/147 \nf 188/208 182/202 129/147 131/149 \nf 149/169 160/180 202/224 198/219 \nf 194/214 279/317 270/308 133/151 \nf 145/165 197/217 135/153 118/136 \nf 146/166 147/167 196/216 195/215 \nf 157/177 218/244 230/256 199/220 \nf 147/167 371/412 377/418 196/216 \nf 209/235 201/222 136/155 138/158 \nf 155/175 209/235 138/158 119/137 \nf 144/164 205/229 253/291 233/261 \nf 1477/1604 601/678 313/352 \nf 1478/1605 281/319 313/352 601/678 \nf 1476/1603 1477/1604 313/352 \nf 1475/1602 1476/1603 313/352 \nf 281/319 1478/1605 1479/1606 \nf 600/677 1475/1602 313/352 \nf 281/319 1479/1606 1480/1607 \nf 1474/1601 600/677 313/352 \nf 281/319 1480/1607 602/679 \nf 599/676 1474/1601 313/352 \nf 281/319 602/679 603/680 \nf 281/319 603/680 604/681 \nf 1473/1600 599/676 313/352 \nf 281/319 604/681 605/682 \nf 1472/1599 1473/1600 313/352 \nf 281/319 605/682 1481/1608 \nf 1471/1598 1472/1599 313/352 \nf 281/319 1481/1608 590/667 \nf 1470/1597 1471/1598 313/352 314/354 \nf 598/675 1470/1597 314/354 \nf 282/320 281/319 590/667 1462/1588 \nf 597/674 598/675 314/354 \nf 282/320 1462/1588 1463/1589 \nf 596/673 597/674 314/354 \nf 282/320 1463/1589 591/668 \nf 1469/1596 596/673 314/354 \nf 282/320 591/668 1464/1590 \nf 282/320 1464/1590 1465/1591 \nf 595/672 1469/1596 314/354 \nf 282/320 1465/1591 1466/1592 \nf 1468/1595 595/672 314/354 \nf 282/320 1466/1592 592/669 \nf 1467/1593 1468/1595 314/354 \nf 282/320 592/669 593/670 \nf 594/671 1467/1594 314/353 \nf 282/320 593/670 594/671 \nf 594/671 314/353 282/320 \nf 265/303 72/78 21/21 256/294 \nf 258/296 290/328 289/327 257/295 \nf 267/305 88/100 47/47 259/297 \nf 266/304 298/337 287/325 255/293 \nf 257/295 289/327 293/331 261/299 \nf 260/298 292/330 291/329 259/297 \nf 255/293 287/325 288/326 256/294 \nf 443/507 424/478 39/39 261/299 \nf 269/307 109/125 88/100 267/305 \nf 296/334 62/66 20/20 290/328 \nf 266/304 90/102 112/128 268/306 \nf 269/307 301/340 295/333 263/301 \nf 271/309 131/149 50/50 263/301 \nf 294/332 41/41 102/118 300/339 \nf 262/300 56/56 133/151 270/308 \nf 264/302 64/70 72/78 265/303 \nf 314/353 208/234 152/172 305/344 \nf 275/313 160/180 192/212 274/312 \nf 284/322 316/356 308/347 276/314 \nf 283/321 228/254 193/213 272/310 \nf 278/316 310/349 306/345 274/312 \nf 277/315 176/196 185/205 276/314 \nf 272/310 193/213 159/179 273/311 \nf 410/461 277/315 309/348 412/464 \nf 286/324 318/358 316/356 284/322 \nf 281/319 202/224 160/180 275/313 \nf 285/323 250/284 228/254 283/321 \nf 312/351 184/204 245/278 318/358 \nf 280/318 188/208 131/149 271/309 \nf 279/317 194/214 250/284 285/323 \nf 279/317 311/350 302/341 270/308 \nf 282/320 210/236 202/224 281/319 \nf 288/326 14/14 70/76 297/336 \nf 299/338 267/305 259/297 291/329 \nf 445/509 443/507 261/299 293/331 \nf 299/338 84/95 107/123 301/340 \nf 298/337 266/304 268/306 300/339 \nf 295/333 46/46 128/146 303/342 \nf 294/332 262/300 270/308 302/341 \nf 1493/1620 622/699 264/302 \nf 296/334 264/302 622/699 \nf 1494/1621 1493/1620 264/302 \nf 296/335 622/700 621/698 \nf 623/701 1494/1621 264/302 \nf 296/335 621/698 1492/1619 \nf 624/702 623/701 264/302 \nf 296/335 1492/1619 620/697 \nf 1495/1622 624/702 264/302 \nf 296/335 620/697 619/696 \nf 1496/1623 1495/1622 264/302 \nf 296/335 619/696 618/695 \nf 296/335 618/695 617/694 \nf 1497/1624 1496/1623 264/302 \nf 296/335 617/694 616/693 \nf 1498/1625 1497/1624 264/302 \nf 296/335 616/693 615/692 \nf 1482/1609 1498/1625 264/302 \nf 606/683 1482/1609 264/302 265/303 \nf 296/335 615/692 614/691 \nf 607/684 606/683 265/303 \nf 297/336 296/335 614/691 613/690 \nf 1483/1610 607/684 265/303 \nf 297/336 613/690 1491/1618 \nf 1484/1611 1483/1610 265/303 \nf 297/336 1491/1618 1490/1617 \nf 1485/1612 1484/1611 265/303 \nf 297/336 1490/1617 1489/1616 \nf 297/336 1489/1616 612/689 \nf 1486/1613 1485/1612 265/303 \nf 297/336 612/689 611/688 \nf 1487/1614 1486/1613 265/303 \nf 297/336 611/688 1488/1615 \nf 608/685 1487/1614 265/303 \nf 297/336 1488/1615 610/687 \nf 609/686 608/685 265/303 \nf 297/336 610/687 609/686 \nf 609/686 265/303 297/336 \nf 307/346 275/313 274/312 306/345 \nf 315/355 283/321 272/310 304/343 \nf 309/348 277/315 276/314 308/347 \nf 304/343 272/310 273/311 305/344 \nf 313/352 281/319 275/313 307/346 \nf 317/357 285/323 283/321 315/355 \nf 312/351 280/318 271/309 303/342 \nf 311/350 279/317 285/323 317/357 \nf 313/352 200/221 208/233 314/354 \nf 290/328 20/20 16/16 289/327 \nf 298/337 77/85 12/12 287/325 \nf 289/327 16/16 37/37 293/331 \nf 292/330 34/34 32/32 291/329 \nf 287/325 12/12 14/14 288/326 \nf 290/328 258/296 264/302 296/334 \nf 301/340 107/123 46/46 295/333 \nf 300/339 268/306 262/300 294/332 \nf 305/344 273/311 282/320 314/353 \nf 316/356 222/248 170/190 308/347 \nf 310/349 175/195 154/174 306/345 \nf 412/464 309/348 172/192 402/452 \nf 318/358 245/278 222/248 316/356 \nf 318/358 286/324 280/318 312/351 \nf 311/350 179/199 126/144 302/341 \nf 329/369 68/74 60/63 328/368 \nf 333/373 365/406 363/404 331/371 \nf 331/371 363/404 355/395 323/363 \nf 357/397 29/29 5/5 353/393 \nf 334/374 134/152 53/53 326/366 \nf 322/362 11/11 40/40 321/361 \nf 351/391 1/1 73/79 362/403 \nf 320/360 10/10 68/74 329/369 \nf 359/399 48/48 108/124 365/406 \nf 324/364 30/30 49/49 323/363 \nf 319/359 52/52 10/10 320/360 \nf 413/466 386/431 30/30 324/364 \nf 332/372 111/127 89/101 330/370 \nf 332/372 364/405 358/398 326/366 \nf 327/367 44/44 129/147 335/375 \nf 322/362 354/394 360/400 328/368 \nf 345/385 198/219 206/230 346/386 \nf 350/390 243/276 225/251 348/388 \nf 348/388 225/251 187/207 340/380 \nf 338/378 370/411 374/415 342/382 \nf 343/383 191/211 134/152 334/374 \nf 338/378 178/198 149/169 339/379 \nf 336/376 190/210 227/253 347/387 \nf 337/377 369/410 378/419 346/386 \nf 382/424 246/279 186/206 376/417 \nf 340/380 187/207 168/188 341/381 \nf 337/377 148/168 190/210 336/376 \nf 448/513 342/382 374/415 450/516 \nf 349/389 381/423 379/421 347/387 \nf 375/416 180/200 241/273 381/423 \nf 344/384 376/417 367/408 335/375 \nf 339/379 149/169 198/219 345/385 \nf 360/401 58/60 66/72 361/402 \nf 358/398 42/42 125/143 366/407 \nf 353/393 5/5 9/9 354/394 \nf 352/392 320/360 329/369 361/402 \nf 356/396 324/364 323/363 355/395 \nf 352/392 3/3 1/1 351/391 \nf 415/469 356/396 25/25 384/428 \nf 362/403 73/79 103/119 364/405 \nf 367/408 130/148 48/48 359/399 \nf 640/719 641/720 345/385 \nf 642/721 377/418 345/385 641/720 \nf 639/718 640/719 345/385 \nf 1508/1635 639/718 345/385 \nf 377/418 642/721 1509/1636 \nf 1507/1634 1508/1635 345/385 \nf 377/418 1509/1636 643/722 \nf 638/717 1507/1634 345/385 \nf 377/418 643/722 644/723 \nf 1506/1633 638/717 345/385 \nf 377/418 644/723 1510/1637 \nf 377/418 1510/1637 645/724 \nf 637/716 1506/1633 345/385 \nf 377/418 645/724 646/725 \nf 1505/1632 637/716 345/385 \nf 377/418 646/725 647/726 \nf 1504/1631 1505/1632 345/385 \nf 377/418 647/726 625/703 \nf 636/715 1504/1631 345/385 346/386 \nf 378/420 377/418 625/703 1499/1626 \nf 635/714 636/715 346/386 \nf 378/420 1499/1626 1500/1627 \nf 1503/1630 635/714 346/386 \nf 634/713 1503/1630 346/386 \nf 378/420 1500/1627 626/704 \nf 633/712 634/713 346/386 \nf 378/420 626/704 627/705 \nf 378/420 627/705 1404/1526 \nf 1502/1629 633/712 346/386 \nf 378/420 1404/1526 628/706 \nf 632/711 1502/1629 346/386 \nf 378/420 628/706 1501/1628 \nf 631/710 632/711 346/386 \nf 378/420 1501/1628 629/708 \nf 630/709 631/710 346/386 \nf 378/419 629/707 630/709 \nf 630/709 346/386 378/419 \nf 380/422 219/245 246/279 382/424 \nf 380/422 348/388 340/380 372/413 \nf 375/416 343/383 334/374 366/407 \nf 371/412 147/167 143/163 370/411 \nf 379/421 211/237 139/159 368/409 \nf 372/413 340/380 341/381 373/414 \nf 368/409 139/159 141/161 369/410 \nf 371/412 339/379 345/385 377/418 \nf 365/406 108/124 81/91 363/404 \nf 363/404 81/91 23/23 355/395 \nf 353/393 321/361 325/365 357/397 \nf 362/403 330/370 319/359 351/391 \nf 365/406 333/373 327/367 359/399 \nf 364/405 103/119 42/42 358/398 \nf 354/394 9/9 58/59 360/400 \nf 370/411 143/163 167/187 374/415 \nf 369/410 141/161 204/227 378/419 \nf 376/417 344/384 350/390 382/424 \nf 416/470 398/448 163/183 373/414 \nf 381/423 241/273 211/237 379/421 \nf 381/423 349/389 343/383 375/416 \nf 376/417 186/206 130/148 367/408 \nf 384/428 25/25 24/24 383/425 \nf 387/432 422/476 426/481 392/442 \nf 383/425 24/24 82/92 391/440 \nf 394/444 106/122 85/96 392/441 \nf 390/438 38/38 30/30 386/431 \nf 428/484 101/117 35/35 421/475 \nf 411/462 445/509 423/477 388/434 \nf 417/471 27/27 100/116 427/483 \nf 387/433 33/33 34/34 388/435 \nf 413/466 324/364 356/396 415/469 \nf 395/445 429/485 417/471 385/429 \nf 393/443 1523/1653 654/733 \nf 393/443 654/733 655/734 \nf 1522/1652 1523/1653 393/443 427/483 \nf 393/443 655/734 656/735 \nf 1521/1651 1522/1652 427/483 \nf 393/443 656/735 657/736 \nf 653/732 1521/1651 427/483 \nf 393/443 657/736 1524/1654 \nf 1520/1650 653/732 427/483 \nf 393/443 1524/1654 1525/1655 \nf 1519/1649 1520/1650 427/483 \nf 1518/1648 1519/1649 427/483 \nf 393/443 1525/1655 658/737 \nf 1517/1647 1518/1648 427/483 \nf 393/443 658/737 1526/1656 \nf 1516/1646 1517/1647 427/483 \nf 393/443 1526/1656 1527/1657 \nf 1515/1645 1516/1646 427/483 \nf 391/440 393/443 1527/1657 1528/1658 \nf 391/440 1528/1658 1529/1659 \nf 652/731 1515/1645 427/483 425/479 \nf 391/440 1529/1659 659/738 \nf 1514/1644 652/731 425/479 \nf 391/440 659/738 660/739 \nf 651/730 1514/1644 425/479 \nf 391/440 660/739 661/740 \nf 1513/1643 651/730 425/479 \nf 650/729 1513/1643 425/479 \nf 391/440 661/740 1530/1660 \nf 649/728 650/729 425/479 \nf 391/440 1530/1660 662/741 \nf 1425/1548 649/728 425/479 \nf 391/440 662/741 663/742 \nf 648/727 1425/1548 425/479 \nf 391/440 663/742 1511/1638 \nf 1511/1639 648/727 425/479 \nf 1511/1640 425/480 391/439 \nf 389/436 421/475 430/486 396/446 \nf 433/491 167/187 166/186 432/488 \nf 401/451 171/191 223/249 406/456 \nf 397/447 432/489 439/500 405/455 \nf 406/456 223/249 244/277 408/458 \nf 400/450 168/188 176/196 404/454 \nf 408/458 244/277 183/203 403/453 \nf 404/454 176/196 277/315 410/461 \nf 407/457 441/503 431/487 399/449 \nf 402/452 172/192 171/191 401/451 \nf 434/492 169/189 342/382 448/513 \nf 395/445 121/139 164/184 399/449 \nf 407/457 237/267 220/246 405/455 \nf 403/453 183/203 123/141 396/446 \nf 409/460 260/298 38/38 390/438 \nf 446/510 310/349 278/316 444/508 \nf 411/463 292/330 260/298 409/460 \nf 402/452 437/497 446/511 412/464 \nf 413/465 447/512 420/474 386/430 \nf 416/470 373/414 341/381 414/467 \nf 419/473 29/29 357/397 449/514 \nf 450/516 374/415 167/187 433/491 \nf 418/472 28/28 29/29 419/473 \nf 425/480 83/94 28/28 418/472 \nf 426/482 86/98 101/117 428/484 \nf 420/474 31/31 39/39 424/478 \nf 422/476 387/432 388/434 423/477 \nf 413/466 1544/1676 1543/1674 \nf 1545/1678 1544/1676 413/466 415/469 \nf 413/466 1543/1674 1542/1672 \nf 413/466 1542/1672 1541/1671 \nf 1546/1679 1545/1677 415/468 \nf 413/466 1541/1671 1540/1670 \nf 1547/1680 1546/1679 415/468 \nf 413/466 1540/1670 676/755 \nf 1548/1681 1547/1680 415/468 \nf 677/757 1548/1681 415/468 \nf 413/465 676/756 675/754 \nf 678/758 677/757 415/468 \nf 413/465 675/754 1454/1580 \nf 679/759 678/758 415/468 \nf 413/465 1454/1580 674/753 \nf 680/760 679/759 415/468 \nf 449/514 1531/1661 680/760 415/468 \nf 447/512 413/465 674/753 673/752 \nf 447/512 673/752 1539/1669 \nf 1532/1662 1531/1661 449/514 \nf 447/512 1539/1669 672/751 \nf 447/512 672/751 671/750 \nf 664/743 1532/1662 449/514 \nf 447/512 671/750 670/749 \nf 665/744 664/743 449/514 \nf 447/512 670/749 669/748 \nf 666/745 665/744 449/514 \nf 1446/1571 666/745 449/514 \nf 447/512 669/748 1538/1668 \nf 1534/1664 1446/1571 449/514 \nf 447/512 1538/1668 1537/1667 \nf 667/746 1534/1664 449/514 \nf 447/512 1537/1667 1536/1666 \nf 668/747 667/746 449/514 \nf 449/514 447/512 1536/1666 1535/1665 \nf 1535/1665 668/747 449/514 \nf 436/494 401/451 406/456 440/502 \nf 442/506 239/270 224/250 440/501 \nf 438/498 177/197 169/189 434/492 \nf 442/505 408/458 403/453 435/493 \nf 444/508 278/316 177/197 438/498 \nf 437/497 402/452 401/451 436/494 \nf 431/487 165/185 122/140 429/485 \nf 405/455 1561/1697 686/766 \nf 405/455 686/766 1562/1698 \nf 685/765 1561/1697 405/455 439/500 \nf 405/455 1562/1698 1563/1699 \nf 1560/1696 685/765 439/500 \nf 405/455 1563/1699 687/767 \nf 684/764 1560/1696 439/500 \nf 405/455 687/767 1564/1700 \nf 1559/1695 684/764 439/500 \nf 405/455 1564/1700 1565/1701 \nf 1558/1694 1559/1695 439/500 \nf 683/763 1558/1694 439/500 \nf 405/455 1565/1701 688/768 \nf 682/762 683/763 439/500 \nf 405/455 688/768 1566/1702 \nf 681/761 682/762 439/500 \nf 405/455 1566/1702 689/769 \nf 1557/1691 681/761 439/500 \nf 407/457 405/455 689/769 690/770 \nf 407/457 690/770 691/771 \nf 1556/1690 1557/1693 439/499 441/504 \nf 407/457 691/771 1533/1663 \nf 1555/1688 1556/1689 441/503 \nf 407/457 1533/1663 692/772 \nf 1554/1687 1555/1688 441/503 \nf 407/457 692/772 1568/1704 \nf 1553/1686 1554/1687 441/503 \nf 1552/1685 1553/1686 441/503 \nf 407/457 1568/1704 693/773 \nf 1551/1684 1552/1685 441/503 \nf 407/457 693/773 694/774 \nf 1461/1587 1551/1684 441/503 \nf 407/457 694/774 1569/1705 \nf 1550/1683 1461/1587 441/503 \nf 407/457 1569/1705 1549/1682 \nf 1549/1682 1550/1683 441/503 \nf 1549/1682 441/503 407/457 \nf 435/493 403/453 396/446 430/486 \nf 443/507 409/459 390/437 424/478 \nf 411/462 1583/1719 708/788 \nf 1584/1721 1583/1720 411/463 409/460 \nf 411/462 708/788 1582/1718 \nf 411/462 1582/1718 1581/1717 \nf 1585/1723 1584/1721 409/460 \nf 411/462 1581/1717 1580/1716 \nf 1586/1724 1585/1723 409/460 \nf 411/462 1580/1716 707/787 \nf 1587/1725 1586/1724 409/460 \nf 709/790 1587/1725 409/460 \nf 411/462 707/787 706/786 \nf 1588/1726 709/789 409/459 \nf 411/462 706/786 705/785 \nf 1589/1727 1588/1726 409/459 \nf 411/462 705/785 1579/1715 \nf 1590/1728 1589/1727 409/459 \nf 443/507 695/775 1590/1728 409/459 \nf 445/509 411/462 1579/1715 1578/1714 \nf 445/509 1578/1714 704/784 \nf 445/509 704/784 703/783 \nf 1570/1706 695/775 443/507 \nf 445/509 703/783 1577/1713 \nf 1571/1707 1570/1706 443/507 \nf 445/509 1577/1713 1576/1712 \nf 696/776 1571/1707 443/507 \nf 445/509 1576/1712 1575/1711 \nf 697/777 696/776 443/507 \nf 1572/1708 697/777 443/507 \nf 445/509 1575/1711 1574/1710 \nf 698/778 1572/1708 443/507 \nf 445/509 1574/1710 702/782 \nf 699/779 698/778 443/507 \nf 445/509 702/782 701/781 \nf 1573/1709 699/779 443/507 \nf 443/507 445/509 701/781 700/780 \nf 700/780 1573/1709 443/507 \nf 725/812 726/813 414/467 \nf 724/811 725/812 414/467 \nf 416/470 414/467 726/813 1603/1742 \nf 1602/1741 724/811 414/467 \nf 416/470 1603/1742 727/814 \nf 1601/1740 1602/1741 414/467 \nf 416/470 727/814 1604/1743 \nf 723/810 1601/1740 414/467 \nf 416/470 1604/1743 1605/1744 \nf 416/470 1605/1744 1606/1745 \nf 722/809 723/810 414/467 \nf 416/470 1606/1745 728/815 \nf 1567/1703 722/809 414/467 \nf 416/470 728/815 1607/1746 \nf 721/808 1567/1703 414/467 \nf 416/470 1607/1746 1608/1747 \nf 450/515 416/470 1608/1747 710/791 \nf 720/807 721/808 414/467 448/513 \nf 1598/1737 720/807 448/513 \nf 450/515 710/791 1591/1729 \nf 1597/1736 1598/1737 448/513 \nf 719/805 1597/1736 448/513 \nf 450/515 1591/1729 1592/1730 \nf 718/804 719/805 448/513 \nf 450/515 1592/1730 1593/1731 \nf 717/802 718/804 448/513 \nf 450/515 1593/1731 1594/1732 \nf 450/515 1594/1732 711/792 \nf 1596/1735 717/802 448/513 \nf 450/515 711/792 1595/1733 \nf 716/800 1596/1735 448/513 \nf 450/515 1595/1733 712/793 \nf 715/798 716/800 448/513 \nf 450/515 712/793 713/794 \nf 450/515 713/794 714/795 \nf 714/796 715/798 448/513 450/516 \nf 422/476 36/36 86/97 426/481 \nf 421/475 389/436 394/444 428/484 \nf 445/509 293/331 37/37 423/477 \nf 427/483 393/443 385/429 417/471 \nf 429/485 122/140 27/27 417/471 \nf 427/483 100/116 83/93 425/479 \nf 421/475 35/35 124/142 430/486 \nf 432/489 397/447 398/448 433/490 \nf 432/488 166/186 221/247 439/499 \nf 441/503 238/268 165/185 431/487 \nf 448/513 414/467 400/450 434/492 \nf 742/831 743/832 412/464 \nf 741/830 742/831 412/464 \nf 410/461 412/464 743/832 744/833 \nf 1600/1739 741/830 412/464 \nf 410/461 744/833 1621/1765 \nf 740/829 1600/1739 412/464 \nf 410/461 1621/1765 1617/1761 \nf 739/828 740/829 412/464 \nf 410/461 1617/1761 745/834 \nf 410/461 745/834 746/835 \nf 1620/1764 739/828 412/464 \nf 410/461 746/835 747/836 \nf 1619/1763 1620/1764 412/464 \nf 410/461 747/836 748/837 \nf 1618/1762 1619/1763 412/464 \nf 410/461 748/837 1616/1760 \nf 444/508 410/461 1616/1760 729/816 \nf 738/827 1618/1762 412/464 446/511 \nf 737/826 738/827 446/511 \nf 736/825 737/826 446/511 \nf 444/508 729/816 730/817 \nf 735/824 736/825 446/511 \nf 444/508 730/817 1599/1738 \nf 734/823 735/824 446/511 \nf 444/508 1599/1738 1609/1749 \nf 1615/1759 734/823 446/511 \nf 444/508 1609/1749 1512/1642 \nf 444/508 1512/1642 1611/1753 \nf 733/822 1615/1759 446/511 \nf 444/508 1611/1753 731/819 \nf 1614/1758 733/822 446/511 \nf 444/508 731/819 1612/1755 \nf 1610/1750 1614/1758 446/511 \nf 444/508 1612/1755 1613/1757 \nf 444/508 1613/1757 732/821 \nf 732/821 1610/1751 446/510 444/508 \nf 437/496 175/195 310/349 446/510 \nf 447/512 325/365 31/31 420/474 \nf 449/514 415/468 384/427 419/473 \nf 433/490 398/448 416/470 450/515 \nf 751/840 749/838 750/839 \nf 750/839 495/567 496/568 751/840 \nf 752/841 749/838 751/840 \nf 751/840 496/568 497/569 752/841 \nf 753/842 749/838 752/841 \nf 752/841 497/569 498/570 753/842 \nf 754/843 749/838 753/842 \nf 753/842 498/570 499/571 754/843 \nf 755/844 749/838 754/843 \nf 754/843 499/571 1373/1492 755/844 \nf 756/845 749/838 755/844 \nf 755/844 1373/1492 500/572 756/845 \nf 757/846 749/838 756/845 \nf 756/845 500/572 1374/1493 757/846 \nf 758/847 749/838 757/846 \nf 757/846 1374/1493 501/573 758/847 \nf 759/848 749/838 758/847 \nf 758/847 501/573 502/574 759/848 \nf 760/849 749/838 759/848 \nf 759/848 502/574 503/575 760/849 \nf 761/850 749/838 760/849 \nf 760/849 503/575 1375/1494 761/850 \nf 762/851 749/838 761/850 \nf 761/850 1375/1494 504/576 762/851 \nf 763/852 749/838 762/851 \nf 762/851 504/576 505/577 763/852 \nf 764/853 749/838 763/852 \nf 763/852 505/577 506/578 764/853 \nf 765/854 749/838 764/853 \nf 764/853 506/578 507/579 765/854 \nf 766/855 749/838 765/854 \nf 765/854 507/579 508/580 766/855 \nf 767/856 749/838 766/855 \nf 766/855 508/580 1376/1495 767/856 \nf 768/857 749/838 767/856 \nf 767/856 1376/1495 1377/1496 768/857 \nf 769/858 749/838 768/857 \nf 768/857 1377/1496 509/581 769/858 \nf 770/859 749/838 769/858 \nf 769/858 509/581 510/582 770/859 \nf 771/860 749/838 770/859 \nf 770/859 510/582 1378/1497 771/860 \nf 772/861 749/838 771/860 \nf 771/860 1378/1497 511/583 772/861 \nf 773/862 749/838 772/861 \nf 772/861 511/583 512/584 773/862 \nf 774/863 749/838 773/862 \nf 773/862 512/584 513/585 774/863 \nf 775/864 749/838 774/863 \nf 774/863 513/585 1379/1498 775/864 \nf 776/865 749/838 775/864 \nf 775/864 1379/1498 1380/1499 776/865 \nf 777/866 749/838 776/865 \nf 776/865 1380/1499 514/587 777/866 \nf 778/867 749/838 777/866 \nf 777/866 514/586 1381/1500 778/867 \nf 779/868 749/838 778/867 \nf 778/867 1381/1500 515/589 779/868 \nf 780/869 749/838 779/868 \nf 779/868 515/589 1382/1502 780/869 \nf 781/870 749/838 780/869 \nf 780/869 1382/1502 1383/1503 781/870 \nf 782/871 749/838 781/870 \nf 781/870 1383/1503 516/590 782/871 \nf 783/872 749/838 782/871 \nf 782/871 516/590 1384/1504 783/872 \nf 784/873 749/838 783/872 \nf 783/872 1384/1504 517/591 784/873 \nf 785/874 749/838 784/873 \nf 784/873 517/591 518/592 785/874 \nf 750/839 749/838 785/874 \nf 785/874 518/592 495/567 750/839 \nf 788/878 786/875 787/877 \nf 787/877 552/628 553/629 788/878 \nf 789/879 786/875 788/878 \nf 788/878 553/629 1426/1549 789/879 \nf 790/880 786/875 789/879 \nf 789/879 1426/1549 1427/1550 790/880 \nf 791/881 786/875 790/880 \nf 790/880 1427/1550 554/630 791/881 \nf 792/882 786/875 791/881 \nf 791/881 554/630 1428/1551 792/882 \nf 793/883 786/875 792/882 \nf 792/882 1428/1551 555/631 793/883 \nf 794/884 786/875 793/883 \nf 793/883 555/631 556/632 794/884 \nf 795/885 786/875 794/884 \nf 794/884 556/632 1429/1552 795/885 \nf 796/886 786/875 795/885 \nf 795/885 1429/1552 1430/1553 796/886 \nf 797/887 786/875 796/886 \nf 796/886 1430/1553 1431/1554 797/887 \nf 798/888 786/875 797/887 \nf 797/887 1431/1554 557/633 798/888 \nf 799/889 786/875 798/888 \nf 798/888 557/633 1432/1555 799/889 \nf 800/890 786/875 799/889 \nf 799/889 1432/1555 558/634 800/890 \nf 801/892 786/875 800/890 \nf 800/890 558/634 1433/1557 801/892 \nf 802/893 786/876 801/891 \nf 801/891 1433/1556 559/635 802/893 \nf 803/894 786/876 802/893 \nf 802/893 559/635 1434/1558 803/894 \nf 804/895 786/876 803/894 \nf 803/894 1434/1558 1435/1559 804/895 \nf 805/896 786/876 804/895 \nf 804/895 1435/1559 560/636 805/896 \nf 806/897 786/876 805/896 \nf 805/896 560/636 1436/1560 806/897 \nf 807/898 786/876 806/897 \nf 806/897 1436/1560 1437/1561 807/898 \nf 808/899 786/876 807/898 \nf 807/898 1437/1561 561/637 808/899 \nf 809/900 786/876 808/899 \nf 808/899 561/637 1438/1562 809/900 \nf 810/901 786/876 809/900 \nf 809/900 1438/1562 562/638 810/901 \nf 811/902 786/876 810/901 \nf 810/901 562/638 563/639 811/902 \nf 812/903 786/876 811/902 \nf 811/902 563/639 564/640 812/903 \nf 813/904 786/876 812/903 \nf 812/903 564/640 1439/1563 813/904 \nf 814/905 786/876 813/904 \nf 813/904 1439/1563 1440/1564 814/905 \nf 815/907 786/876 814/905 \nf 814/905 1440/1564 1441/1566 815/907 \nf 816/908 786/875 815/906 \nf 815/906 1441/1565 565/641 816/908 \nf 817/909 786/875 816/908 \nf 816/908 565/641 1442/1567 817/909 \nf 818/910 786/875 817/909 \nf 817/909 1442/1567 566/642 818/910 \nf 819/911 786/875 818/910 \nf 818/910 566/642 567/643 819/911 \nf 820/912 786/875 819/911 \nf 819/911 567/643 1443/1568 820/912 \nf 821/913 786/875 820/912 \nf 820/912 1443/1568 568/644 821/913 \nf 822/914 786/875 821/913 \nf 821/913 568/644 1444/1569 822/914 \nf 787/877 786/875 822/914 \nf 822/914 1444/1569 552/628 787/877 \nf 825/917 520/594 519/593 824/916 \nf 825/917 824/916 823/915 \nf 826/918 1385/1505 520/594 825/917 \nf 826/918 825/917 823/915 \nf 827/919 521/595 1385/1505 826/918 \nf 827/919 826/918 823/915 \nf 828/920 522/596 521/595 827/919 \nf 828/920 827/919 823/915 \nf 829/921 1386/1506 522/596 828/920 \nf 829/921 828/920 823/915 \nf 830/922 1387/1507 1386/1506 829/921 \nf 830/922 829/921 823/915 \nf 831/923 523/597 1387/1507 830/922 \nf 831/923 830/922 823/915 \nf 832/924 524/598 523/597 831/923 \nf 832/924 831/923 823/915 \nf 833/925 1388/1508 524/598 832/924 \nf 833/925 832/924 823/915 \nf 834/926 1389/1509 1388/1508 833/925 \nf 834/926 833/925 823/915 \nf 835/927 1390/1510 1389/1509 834/926 \nf 835/927 834/926 823/915 \nf 836/928 1391/1511 1390/1510 835/927 \nf 836/928 835/927 823/915 \nf 837/929 1392/1512 1391/1511 836/928 \nf 837/929 836/928 823/915 \nf 838/930 525/599 1392/1512 837/929 \nf 838/930 837/929 823/915 \nf 839/931 526/600 525/599 838/930 \nf 839/931 838/930 823/915 \nf 840/932 527/601 526/600 839/931 \nf 840/932 839/931 823/915 \nf 841/933 528/602 527/601 840/932 \nf 841/933 840/932 823/915 \nf 842/934 529/603 528/602 841/933 \nf 842/934 841/933 823/915 \nf 843/935 530/604 529/603 842/934 \nf 843/935 842/934 823/915 \nf 844/936 1393/1513 530/604 843/935 \nf 844/936 843/935 823/915 \nf 845/937 1394/1514 1393/1513 844/936 \nf 845/937 844/936 823/915 \nf 846/938 531/605 1394/1514 845/937 \nf 846/938 845/937 823/915 \nf 847/939 1395/1515 531/605 846/938 \nf 847/939 846/938 823/915 \nf 848/940 1396/1516 1395/1515 847/939 \nf 848/940 847/939 823/915 \nf 849/941 532/606 1396/1516 848/940 \nf 849/941 848/940 823/915 \nf 850/942 533/607 532/606 849/941 \nf 850/942 849/941 823/915 \nf 851/943 1397/1518 533/607 850/942 \nf 851/943 850/942 823/915 \nf 852/944 534/608 1397/1517 851/943 \nf 852/944 851/943 823/915 \nf 853/945 1398/1520 534/608 852/944 \nf 853/945 852/944 823/915 \nf 854/946 535/610 1398/1520 853/945 \nf 854/946 853/945 823/915 \nf 855/947 1399/1521 535/610 854/946 \nf 855/947 854/946 823/915 \nf 856/948 1400/1522 1399/1521 855/947 \nf 856/948 855/947 823/915 \nf 857/949 536/611 1400/1522 856/948 \nf 857/949 856/948 823/915 \nf 858/950 537/612 536/611 857/949 \nf 858/950 857/949 823/915 \nf 859/951 538/613 537/612 858/950 \nf 859/951 858/950 823/915 \nf 824/916 519/593 538/613 859/951 \nf 824/916 859/951 823/915 \nf 862/955 1445/1570 569/645 861/954 \nf 862/955 861/954 860/952 \nf 863/956 570/646 1445/1570 862/955 \nf 863/956 862/955 860/952 \nf 864/957 571/647 570/646 863/956 \nf 864/957 863/956 860/952 \nf 865/958 1447/1572 571/647 864/957 \nf 865/958 864/957 860/952 \nf 866/959 572/648 1447/1572 865/958 \nf 866/959 865/958 860/952 \nf 867/960 573/649 572/648 866/959 \nf 867/960 866/959 860/952 \nf 868/961 574/650 573/649 867/960 \nf 868/961 867/960 860/952 \nf 869/962 1448/1573 574/650 868/961 \nf 869/962 868/961 860/952 \nf 870/963 575/651 1448/1573 869/962 \nf 870/963 869/962 860/952 \nf 871/964 576/652 575/651 870/963 \nf 871/964 870/963 860/952 \nf 872/965 1449/1574 576/652 871/964 \nf 872/965 871/964 860/952 \nf 873/966 577/653 1449/1574 872/965 \nf 873/966 872/965 860/952 \nf 874/967 1450/1575 577/653 873/966 \nf 874/967 873/966 860/952 \nf 875/969 1451/1577 1450/1575 874/967 \nf 875/969 874/967 860/952 \nf 876/970 578/654 1451/1576 875/968 \nf 876/970 875/968 860/953 \nf 877/971 1452/1578 578/654 876/970 \nf 877/971 876/970 860/953 \nf 878/972 1453/1579 1452/1578 877/971 \nf 878/972 877/971 860/953 \nf 879/973 1364/1483 1453/1579 878/972 \nf 879/973 878/972 860/953 \nf 880/974 1455/1581 1364/1483 879/973 \nf 880/974 879/973 860/953 \nf 881/975 579/655 1455/1581 880/974 \nf 881/975 880/974 860/953 \nf 882/976 580/656 579/655 881/975 \nf 882/976 881/975 860/953 \nf 883/977 1456/1582 580/656 882/976 \nf 883/977 882/976 860/953 \nf 884/978 581/657 1456/1582 883/977 \nf 884/978 883/977 860/953 \nf 885/979 582/658 581/657 884/978 \nf 885/979 884/978 860/953 \nf 886/980 1457/1583 582/658 885/979 \nf 886/980 885/979 860/953 \nf 887/981 583/659 1457/1583 886/980 \nf 887/981 886/980 860/953 \nf 888/982 584/660 583/659 887/981 \nf 888/982 887/981 860/953 \nf 889/984 585/662 584/660 888/982 \nf 889/984 888/982 860/953 \nf 890/985 586/663 585/661 889/983 \nf 890/985 889/983 860/952 \nf 891/986 587/664 586/663 890/985 \nf 891/986 890/985 860/952 \nf 892/987 588/665 587/664 891/986 \nf 892/987 891/986 860/952 \nf 893/988 1458/1584 588/665 892/987 \nf 893/988 892/987 860/952 \nf 894/989 589/666 1458/1584 893/988 \nf 894/989 893/988 860/952 \nf 895/990 1459/1585 589/666 894/989 \nf 895/990 894/989 860/952 \nf 896/991 1460/1586 1459/1585 895/990 \nf 896/991 895/990 860/952 \nf 861/954 569/645 1460/1586 896/991 \nf 861/954 896/991 860/952 \nf 899/994 1499/1626 625/703 898/993 \nf 899/994 898/993 897/992 \nf 900/995 1500/1627 1499/1626 899/994 \nf 900/995 899/994 897/992 \nf 901/996 626/704 1500/1627 900/995 \nf 901/996 900/995 897/992 \nf 902/997 627/705 626/704 901/996 \nf 902/997 901/996 897/992 \nf 903/998 1404/1526 627/705 902/997 \nf 903/998 902/997 897/992 \nf 904/999 628/706 1404/1526 903/998 \nf 904/999 903/998 897/992 \nf 905/1000 1501/1628 628/706 904/999 \nf 905/1000 904/999 897/992 \nf 906/1001 629/708 1501/1628 905/1000 \nf 906/1001 905/1000 897/992 \nf 907/1002 630/709 629/707 906/1001 \nf 907/1002 906/1001 897/992 \nf 908/1003 631/710 630/709 907/1002 \nf 908/1003 907/1002 897/992 \nf 909/1004 632/711 631/710 908/1003 \nf 909/1004 908/1003 897/992 \nf 910/1005 1502/1629 632/711 909/1004 \nf 910/1005 909/1004 897/992 \nf 911/1006 633/712 1502/1629 910/1005 \nf 911/1006 910/1005 897/992 \nf 912/1007 634/713 633/712 911/1006 \nf 912/1007 911/1006 897/992 \nf 913/1008 1503/1630 634/713 912/1007 \nf 913/1008 912/1007 897/992 \nf 914/1009 635/714 1503/1630 913/1008 \nf 914/1009 913/1008 897/992 \nf 915/1010 636/715 635/714 914/1009 \nf 915/1010 914/1009 897/992 \nf 916/1011 1504/1631 636/715 915/1010 \nf 916/1011 915/1010 897/992 \nf 917/1012 1505/1632 1504/1631 916/1011 \nf 917/1012 916/1011 897/992 \nf 918/1013 637/716 1505/1632 917/1012 \nf 918/1013 917/1012 897/992 \nf 919/1014 1506/1633 637/716 918/1013 \nf 919/1014 918/1013 897/992 \nf 920/1015 638/717 1506/1633 919/1014 \nf 920/1015 919/1014 897/992 \nf 921/1016 1507/1634 638/717 920/1015 \nf 921/1016 920/1015 897/992 \nf 922/1017 1508/1635 1507/1634 921/1016 \nf 922/1017 921/1016 897/992 \nf 923/1018 639/718 1508/1635 922/1017 \nf 923/1018 922/1017 897/992 \nf 924/1019 640/719 639/718 923/1018 \nf 924/1019 923/1018 897/992 \nf 925/1020 641/720 640/719 924/1019 \nf 925/1020 924/1019 897/992 \nf 926/1021 642/721 641/720 925/1020 \nf 926/1021 925/1020 897/992 \nf 927/1022 1509/1636 642/721 926/1021 \nf 927/1022 926/1021 897/992 \nf 928/1023 643/722 1509/1636 927/1022 \nf 928/1023 927/1022 897/992 \nf 929/1024 644/723 643/722 928/1023 \nf 929/1024 928/1023 897/992 \nf 930/1025 1510/1637 644/723 929/1024 \nf 930/1025 929/1024 897/992 \nf 931/1026 645/724 1510/1637 930/1025 \nf 931/1026 930/1025 897/992 \nf 932/1027 646/725 645/724 931/1026 \nf 932/1027 931/1026 897/992 \nf 933/1028 647/726 646/725 932/1027 \nf 933/1028 932/1027 897/992 \nf 898/993 625/703 647/726 933/1028 \nf 898/993 933/1028 897/992 \nf 936/1031 1462/1588 590/667 935/1030 \nf 936/1031 935/1030 934/1029 \nf 937/1032 1463/1589 1462/1588 936/1031 \nf 937/1032 936/1031 934/1029 \nf 938/1033 591/668 1463/1589 937/1032 \nf 938/1033 937/1032 934/1029 \nf 939/1034 1464/1590 591/668 938/1033 \nf 939/1034 938/1033 934/1029 \nf 940/1035 1465/1591 1464/1590 939/1034 \nf 940/1035 939/1034 934/1029 \nf 941/1036 1466/1592 1465/1591 940/1035 \nf 941/1036 940/1035 934/1029 \nf 942/1037 592/669 1466/1592 941/1036 \nf 942/1037 941/1036 934/1029 \nf 943/1038 593/670 592/669 942/1037 \nf 943/1038 942/1037 934/1029 \nf 944/1039 594/671 593/670 943/1038 \nf 944/1039 943/1038 934/1029 \nf 945/1040 1467/1594 594/671 944/1039 \nf 945/1040 944/1039 934/1029 \nf 946/1041 1468/1595 1467/1593 945/1040 \nf 946/1041 945/1040 934/1029 \nf 947/1042 595/672 1468/1595 946/1041 \nf 947/1042 946/1041 934/1029 \nf 948/1043 1469/1596 595/672 947/1042 \nf 948/1043 947/1042 934/1029 \nf 949/1044 596/673 1469/1596 948/1043 \nf 949/1044 948/1043 934/1029 \nf 950/1045 597/674 596/673 949/1044 \nf 950/1045 949/1044 934/1029 \nf 951/1046 598/675 597/674 950/1045 \nf 951/1046 950/1045 934/1029 \nf 952/1047 1470/1597 598/675 951/1046 \nf 952/1047 951/1046 934/1029 \nf 953/1048 1471/1598 1470/1597 952/1047 \nf 953/1048 952/1047 934/1029 \nf 954/1049 1472/1599 1471/1598 953/1048 \nf 954/1049 953/1048 934/1029 \nf 955/1050 1473/1600 1472/1599 954/1049 \nf 955/1050 954/1049 934/1029 \nf 956/1051 599/676 1473/1600 955/1050 \nf 956/1051 955/1050 934/1029 \nf 957/1052 1474/1601 599/676 956/1051 \nf 957/1052 956/1051 934/1029 \nf 958/1053 600/677 1474/1601 957/1052 \nf 958/1053 957/1052 934/1029 \nf 959/1054 1475/1602 600/677 958/1053 \nf 959/1054 958/1053 934/1029 \nf 960/1055 1476/1603 1475/1602 959/1054 \nf 960/1055 959/1054 934/1029 \nf 961/1056 1477/1604 1476/1603 960/1055 \nf 961/1056 960/1055 934/1029 \nf 962/1057 601/678 1477/1604 961/1056 \nf 962/1057 961/1056 934/1029 \nf 963/1058 1478/1605 601/678 962/1057 \nf 963/1058 962/1057 934/1029 \nf 964/1059 1479/1606 1478/1605 963/1058 \nf 964/1059 963/1058 934/1029 \nf 965/1060 1480/1607 1479/1606 964/1059 \nf 965/1060 964/1059 934/1029 \nf 966/1061 602/679 1480/1607 965/1060 \nf 966/1061 965/1060 934/1029 \nf 967/1062 603/680 602/679 966/1061 \nf 967/1062 966/1061 934/1029 \nf 968/1063 604/681 603/680 967/1062 \nf 968/1063 967/1062 934/1029 \nf 969/1064 605/682 604/681 968/1063 \nf 969/1064 968/1063 934/1029 \nf 970/1065 1481/1608 605/682 969/1064 \nf 970/1065 969/1064 934/1029 \nf 935/1030 590/667 1481/1608 970/1065 \nf 935/1030 970/1065 934/1029 \nf 973/1068 971/1066 972/1067 \nf 972/1067 458/524 456/522 973/1068 \nf 974/1069 971/1066 973/1068 \nf 973/1068 456/522 454/520 974/1069 \nf 975/1070 971/1066 974/1069 \nf 974/1069 454/520 460/526 975/1070 \nf 976/1071 971/1066 975/1070 \nf 975/1070 460/526 455/521 976/1071 \nf 977/1072 971/1066 976/1071 \nf 976/1071 455/521 461/527 977/1072 \nf 978/1073 971/1066 977/1072 \nf 977/1072 461/527 457/523 978/1073 \nf 979/1074 971/1066 978/1073 \nf 978/1073 457/523 1341/1455 979/1074 \nf 980/1075 971/1066 979/1074 \nf 979/1074 1341/1455 1342/1456 980/1075 \nf 981/1076 971/1066 980/1075 \nf 980/1075 1342/1456 459/525 981/1076 \nf 982/1077 971/1066 981/1076 \nf 981/1076 459/525 463/529 982/1077 \nf 983/1078 971/1066 982/1077 \nf 982/1077 463/529 1343/1457 983/1078 \nf 984/1079 971/1066 983/1078 \nf 983/1078 1343/1457 1344/1458 984/1079 \nf 985/1080 971/1066 984/1079 \nf 984/1079 1344/1458 1345/1459 985/1080 \nf 986/1081 971/1066 985/1080 \nf 985/1080 1345/1459 1346/1460 986/1081 \nf 987/1082 971/1066 986/1081 \nf 986/1081 1346/1460 462/528 987/1082 \nf 988/1083 971/1066 987/1082 \nf 987/1082 462/528 1347/1461 988/1083 \nf 989/1084 971/1066 988/1083 \nf 988/1083 1347/1461 464/530 989/1084 \nf 990/1085 971/1066 989/1084 \nf 989/1084 464/530 465/531 990/1085 \nf 991/1086 971/1066 990/1085 \nf 990/1085 465/531 466/532 991/1086 \nf 992/1087 971/1066 991/1086 \nf 991/1086 466/532 1348/1463 992/1087 \nf 993/1088 971/1066 992/1087 \nf 992/1087 1348/1462 467/533 993/1088 \nf 994/1089 971/1066 993/1088 \nf 993/1088 467/533 1349/1464 994/1089 \nf 995/1090 971/1066 994/1089 \nf 994/1089 1349/1464 468/535 995/1090 \nf 996/1091 971/1066 995/1090 \nf 995/1090 468/535 1350/1466 996/1091 \nf 997/1092 971/1066 996/1091 \nf 996/1091 1350/1466 469/537 997/1092 \nf 998/1093 971/1066 997/1092 \nf 997/1092 469/537 470/539 998/1093 \nf 999/1094 971/1066 998/1093 \nf 998/1093 470/539 471/541 999/1094 \nf 1000/1095 971/1066 999/1094 \nf 999/1094 471/541 472/543 1000/1095 \nf 1001/1096 971/1066 1000/1095 \nf 1000/1095 472/543 1351/1468 1001/1096 \nf 1002/1097 971/1066 1001/1096 \nf 1001/1096 1351/1468 473/545 1002/1097 \nf 1003/1098 971/1066 1002/1097 \nf 1002/1097 473/545 474/546 1003/1098 \nf 1004/1099 971/1066 1003/1098 \nf 1003/1098 474/546 475/547 1004/1099 \nf 1005/1100 971/1066 1004/1099 \nf 1004/1099 475/547 476/548 1005/1100 \nf 1006/1101 971/1066 1005/1100 \nf 1005/1100 476/548 1352/1469 1006/1101 \nf 1007/1102 971/1066 1006/1101 \nf 1006/1101 1352/1469 1353/1470 1007/1102 \nf 972/1067 971/1066 1007/1102 \nf 1007/1102 1353/1470 458/524 972/1067 \nf 1010/1105 1008/1103 1009/1104 \nf 1009/1104 1482/1609 606/683 1010/1105 \nf 1011/1106 1008/1103 1010/1105 \nf 1010/1105 606/683 607/684 1011/1106 \nf 1012/1107 1008/1103 1011/1106 \nf 1011/1106 607/684 1483/1610 1012/1107 \nf 1013/1108 1008/1103 1012/1107 \nf 1012/1107 1483/1610 1484/1611 1013/1108 \nf 1014/1109 1008/1103 1013/1108 \nf 1013/1108 1484/1611 1485/1612 1014/1109 \nf 1015/1110 1008/1103 1014/1109 \nf 1014/1109 1485/1612 1486/1613 1015/1110 \nf 1016/1111 1008/1103 1015/1110 \nf 1015/1110 1486/1613 1487/1614 1016/1111 \nf 1017/1112 1008/1103 1016/1111 \nf 1016/1111 1487/1614 608/685 1017/1112 \nf 1018/1113 1008/1103 1017/1112 \nf 1017/1112 608/685 609/686 1018/1113 \nf 1019/1114 1008/1103 1018/1113 \nf 1018/1113 609/686 610/687 1019/1114 \nf 1020/1115 1008/1103 1019/1114 \nf 1019/1114 610/687 1488/1615 1020/1115 \nf 1021/1116 1008/1103 1020/1115 \nf 1020/1115 1488/1615 611/688 1021/1116 \nf 1022/1117 1008/1103 1021/1116 \nf 1021/1116 611/688 612/689 1022/1117 \nf 1023/1118 1008/1103 1022/1117 \nf 1022/1117 612/689 1489/1616 1023/1118 \nf 1024/1119 1008/1103 1023/1118 \nf 1023/1118 1489/1616 1490/1617 1024/1119 \nf 1025/1120 1008/1103 1024/1119 \nf 1024/1119 1490/1617 1491/1618 1025/1120 \nf 1026/1121 1008/1103 1025/1120 \nf 1025/1120 1491/1618 613/690 1026/1121 \nf 1027/1122 1008/1103 1026/1121 \nf 1026/1121 613/690 614/691 1027/1122 \nf 1028/1123 1008/1103 1027/1122 \nf 1027/1122 614/691 615/692 1028/1123 \nf 1029/1124 1008/1103 1028/1123 \nf 1028/1123 615/692 616/693 1029/1124 \nf 1030/1125 1008/1103 1029/1124 \nf 1029/1124 616/693 617/694 1030/1125 \nf 1031/1126 1008/1103 1030/1125 \nf 1030/1125 617/694 618/695 1031/1126 \nf 1032/1127 1008/1103 1031/1126 \nf 1031/1126 618/695 619/696 1032/1127 \nf 1033/1128 1008/1103 1032/1127 \nf 1032/1127 619/696 620/697 1033/1128 \nf 1034/1129 1008/1103 1033/1128 \nf 1033/1128 620/697 1492/1619 1034/1129 \nf 1035/1130 1008/1103 1034/1129 \nf 1034/1129 1492/1619 621/698 1035/1130 \nf 1036/1132 1008/1103 1035/1130 \nf 1035/1130 621/698 622/700 1036/1132 \nf 1037/1134 1008/1103 1036/1132 \nf 1036/1131 622/699 1493/1620 1037/1133 \nf 1038/1136 1008/1103 1037/1134 \nf 1037/1133 1493/1620 1494/1621 1038/1135 \nf 1039/1138 1008/1103 1038/1136 \nf 1038/1135 1494/1621 623/701 1039/1137 \nf 1040/1140 1008/1103 1039/1138 \nf 1039/1137 623/701 624/702 1040/1139 \nf 1041/1142 1008/1103 1040/1140 \nf 1040/1139 624/702 1495/1622 1041/1141 \nf 1042/1144 1008/1103 1041/1142 \nf 1041/1141 1495/1622 1496/1623 1042/1143 \nf 1043/1145 1008/1103 1042/1144 \nf 1042/1143 1496/1623 1497/1624 1043/1145 \nf 1044/1146 1008/1103 1043/1145 \nf 1043/1145 1497/1624 1498/1625 1044/1146 \nf 1009/1104 1008/1103 1044/1146 \nf 1044/1146 1498/1625 1482/1609 1009/1104 \nf 1047/1149 1045/1147 1046/1148 \nf 1046/1148 1531/1661 1532/1662 1047/1149 \nf 1048/1150 1045/1147 1047/1149 \nf 1047/1149 1532/1662 664/743 1048/1150 \nf 1049/1151 1045/1147 1048/1150 \nf 1048/1150 664/743 665/744 1049/1151 \nf 1050/1152 1045/1147 1049/1151 \nf 1049/1151 665/744 666/745 1050/1152 \nf 1051/1153 1045/1147 1050/1152 \nf 1050/1152 666/745 1446/1571 1051/1153 \nf 1052/1154 1045/1147 1051/1153 \nf 1051/1153 1446/1571 1534/1664 1052/1154 \nf 1053/1155 1045/1147 1052/1154 \nf 1052/1154 1534/1664 667/746 1053/1155 \nf 1054/1156 1045/1147 1053/1155 \nf 1053/1155 667/746 668/747 1054/1156 \nf 1055/1157 1045/1147 1054/1156 \nf 1054/1156 668/747 1535/1665 1055/1157 \nf 1056/1158 1045/1147 1055/1157 \nf 1055/1157 1535/1665 1536/1666 1056/1158 \nf 1057/1159 1045/1147 1056/1158 \nf 1056/1158 1536/1666 1537/1667 1057/1159 \nf 1058/1160 1045/1147 1057/1159 \nf 1057/1159 1537/1667 1538/1668 1058/1160 \nf 1059/1161 1045/1147 1058/1160 \nf 1058/1160 1538/1668 669/748 1059/1161 \nf 1060/1162 1045/1147 1059/1161 \nf 1059/1161 669/748 670/749 1060/1162 \nf 1061/1163 1045/1147 1060/1162 \nf 1060/1162 670/749 671/750 1061/1163 \nf 1062/1164 1045/1147 1061/1163 \nf 1061/1163 671/750 672/751 1062/1164 \nf 1063/1165 1045/1147 1062/1164 \nf 1062/1164 672/751 1539/1669 1063/1165 \nf 1064/1166 1045/1147 1063/1165 \nf 1063/1165 1539/1669 673/752 1064/1166 \nf 1065/1167 1045/1147 1064/1166 \nf 1064/1166 673/752 674/753 1065/1167 \nf 1066/1168 1045/1147 1065/1167 \nf 1065/1167 674/753 1454/1580 1066/1168 \nf 1067/1169 1045/1147 1066/1168 \nf 1066/1168 1454/1580 675/754 1067/1169 \nf 1068/1171 1045/1147 1067/1169 \nf 1067/1169 675/754 676/756 1068/1171 \nf 1069/1173 1045/1147 1068/1171 \nf 1068/1170 676/755 1540/1670 1069/1172 \nf 1070/1175 1045/1147 1069/1173 \nf 1069/1172 1540/1670 1541/1671 1070/1174 \nf 1071/1177 1045/1147 1070/1175 \nf 1070/1174 1541/1671 1542/1672 1071/1176 \nf 1072/1178 1045/1147 1071/1177 \nf 1071/1176 1542/1672 1543/1674 1072/1179 \nf 1073/1180 1045/1147 1072/1178 \nf 1072/1178 1543/1673 1544/1675 1073/1180 \nf 1074/1181 1045/1147 1073/1180 \nf 1073/1180 1544/1675 1545/1677 1074/1181 \nf 1075/1182 1045/1147 1074/1181 \nf 1074/1181 1545/1677 1546/1679 1075/1182 \nf 1076/1183 1045/1147 1075/1182 \nf 1075/1182 1546/1679 1547/1680 1076/1183 \nf 1077/1184 1045/1147 1076/1183 \nf 1076/1183 1547/1680 1548/1681 1077/1184 \nf 1078/1185 1045/1147 1077/1184 \nf 1077/1184 1548/1681 677/757 1078/1185 \nf 1079/1186 1045/1147 1078/1185 \nf 1078/1185 677/757 678/758 1079/1186 \nf 1080/1187 1045/1147 1079/1186 \nf 1079/1186 678/758 679/759 1080/1187 \nf 1081/1188 1045/1147 1080/1187 \nf 1080/1187 679/759 680/760 1081/1188 \nf 1046/1148 1045/1147 1081/1188 \nf 1081/1188 680/760 1531/1661 1046/1148 \nf 1084/1191 1082/1189 1083/1190 \nf 1083/1190 695/775 1570/1706 1084/1191 \nf 1085/1192 1082/1189 1084/1191 \nf 1084/1191 1570/1706 1571/1707 1085/1192 \nf 1086/1193 1082/1189 1085/1192 \nf 1085/1192 1571/1707 696/776 1086/1193 \nf 1087/1194 1082/1189 1086/1193 \nf 1086/1193 696/776 697/777 1087/1194 \nf 1088/1195 1082/1189 1087/1194 \nf 1087/1194 697/777 1572/1708 1088/1195 \nf 1089/1196 1082/1189 1088/1195 \nf 1088/1195 1572/1708 698/778 1089/1196 \nf 1090/1197 1082/1189 1089/1196 \nf 1089/1196 698/778 699/779 1090/1197 \nf 1091/1198 1082/1189 1090/1197 \nf 1090/1197 699/779 1573/1709 1091/1198 \nf 1092/1199 1082/1189 1091/1198 \nf 1091/1198 1573/1709 700/780 1092/1199 \nf 1093/1200 1082/1189 1092/1199 \nf 1092/1199 700/780 701/781 1093/1200 \nf 1094/1201 1082/1189 1093/1200 \nf 1093/1200 701/781 702/782 1094/1201 \nf 1095/1202 1082/1189 1094/1201 \nf 1094/1201 702/782 1574/1710 1095/1202 \nf 1096/1203 1082/1189 1095/1202 \nf 1095/1202 1574/1710 1575/1711 1096/1203 \nf 1097/1204 1082/1189 1096/1203 \nf 1096/1203 1575/1711 1576/1712 1097/1204 \nf 1098/1205 1082/1189 1097/1204 \nf 1097/1204 1576/1712 1577/1713 1098/1205 \nf 1099/1206 1082/1189 1098/1205 \nf 1098/1205 1577/1713 703/783 1099/1206 \nf 1100/1207 1082/1189 1099/1206 \nf 1099/1206 703/783 704/784 1100/1207 \nf 1101/1208 1082/1189 1100/1207 \nf 1100/1207 704/784 1578/1714 1101/1208 \nf 1102/1209 1082/1189 1101/1208 \nf 1101/1208 1578/1714 1579/1715 1102/1209 \nf 1103/1210 1082/1189 1102/1209 \nf 1102/1209 1579/1715 705/785 1103/1210 \nf 1104/1211 1082/1189 1103/1210 \nf 1103/1210 705/785 706/786 1104/1211 \nf 1105/1212 1082/1189 1104/1211 \nf 1104/1211 706/786 707/787 1105/1212 \nf 1106/1213 1082/1189 1105/1212 \nf 1105/1212 707/787 1580/1716 1106/1213 \nf 1107/1214 1082/1189 1106/1213 \nf 1106/1213 1580/1716 1581/1717 1107/1214 \nf 1108/1215 1082/1189 1107/1214 \nf 1107/1214 1581/1717 1582/1718 1108/1215 \nf 1109/1216 1082/1189 1108/1215 \nf 1108/1215 1582/1718 708/788 1109/1216 \nf 1110/1217 1082/1189 1109/1216 \nf 1109/1216 708/788 1583/1719 1110/1217 \nf 1111/1219 1082/1189 1110/1217 \nf 1110/1217 1583/1719 1584/1722 1111/1219 \nf 1112/1221 1082/1189 1111/1219 \nf 1111/1218 1584/1721 1585/1723 1112/1220 \nf 1113/1223 1082/1189 1112/1221 \nf 1112/1220 1585/1723 1586/1724 1113/1222 \nf 1114/1225 1082/1189 1113/1223 \nf 1113/1222 1586/1724 1587/1725 1114/1224 \nf 1115/1226 1082/1189 1114/1225 \nf 1114/1224 1587/1725 709/790 1115/1227 \nf 1116/1228 1082/1189 1115/1226 \nf 1115/1226 709/789 1588/1726 1116/1228 \nf 1117/1229 1082/1189 1116/1228 \nf 1116/1228 1588/1726 1589/1727 1117/1229 \nf 1118/1230 1082/1189 1117/1229 \nf 1117/1229 1589/1727 1590/1728 1118/1230 \nf 1083/1190 1082/1189 1118/1230 \nf 1118/1230 1590/1728 695/775 1083/1190 \nf 1121/1233 1591/1729 710/791 1120/1232 \nf 1121/1233 1120/1232 1119/1231 \nf 1122/1234 1592/1730 1591/1729 1121/1233 \nf 1122/1234 1121/1233 1119/1231 \nf 1123/1235 1593/1731 1592/1730 1122/1234 \nf 1123/1235 1122/1234 1119/1231 \nf 1124/1236 1594/1732 1593/1731 1123/1235 \nf 1124/1236 1123/1235 1119/1231 \nf 1125/1237 711/792 1594/1732 1124/1236 \nf 1125/1237 1124/1236 1119/1231 \nf 1126/1238 1595/1733 711/792 1125/1237 \nf 1126/1238 1125/1237 1119/1231 \nf 1127/1239 712/793 1595/1733 1126/1238 \nf 1127/1239 1126/1238 1119/1231 \nf 1128/1240 713/794 712/793 1127/1239 \nf 1128/1240 1127/1239 1119/1231 \nf 1129/1241 714/795 713/794 1128/1240 \nf 1129/1241 1128/1240 1119/1231 \nf 1130/1242 715/797 714/795 1129/1241 \nf 1130/1242 1129/1241 1119/1231 \nf 1131/1243 716/799 715/797 1130/1242 \nf 1131/1243 1130/1242 1119/1231 \nf 1132/1244 1596/1734 716/799 1131/1243 \nf 1132/1244 1131/1243 1119/1231 \nf 1133/1245 717/801 1596/1734 1132/1244 \nf 1133/1245 1132/1244 1119/1231 \nf 1134/1246 718/803 717/801 1133/1245 \nf 1134/1246 1133/1245 1119/1231 \nf 1135/1247 719/806 718/803 1134/1246 \nf 1135/1247 1134/1246 1119/1231 \nf 1136/1248 1597/1736 719/805 1135/1247 \nf 1136/1248 1135/1247 1119/1231 \nf 1137/1249 1598/1737 1597/1736 1136/1248 \nf 1137/1249 1136/1248 1119/1231 \nf 1138/1250 720/807 1598/1737 1137/1249 \nf 1138/1250 1137/1249 1119/1231 \nf 1139/1251 721/808 720/807 1138/1250 \nf 1139/1251 1138/1250 1119/1231 \nf 1140/1252 1567/1703 721/808 1139/1251 \nf 1140/1252 1139/1251 1119/1231 \nf 1141/1253 722/809 1567/1703 1140/1252 \nf 1141/1253 1140/1252 1119/1231 \nf 1142/1254 723/810 722/809 1141/1253 \nf 1142/1254 1141/1253 1119/1231 \nf 1143/1255 1601/1740 723/810 1142/1254 \nf 1143/1255 1142/1254 1119/1231 \nf 1144/1256 1602/1741 1601/1740 1143/1255 \nf 1144/1256 1143/1255 1119/1231 \nf 1145/1257 724/811 1602/1741 1144/1256 \nf 1145/1257 1144/1256 1119/1231 \nf 1146/1258 725/812 724/811 1145/1257 \nf 1146/1258 1145/1257 1119/1231 \nf 1147/1259 726/813 725/812 1146/1258 \nf 1147/1259 1146/1258 1119/1231 \nf 1148/1260 1603/1742 726/813 1147/1259 \nf 1148/1260 1147/1259 1119/1231 \nf 1149/1261 727/814 1603/1742 1148/1260 \nf 1149/1261 1148/1260 1119/1231 \nf 1150/1262 1604/1743 727/814 1149/1261 \nf 1150/1262 1149/1261 1119/1231 \nf 1151/1263 1605/1744 1604/1743 1150/1262 \nf 1151/1263 1150/1262 1119/1231 \nf 1152/1264 1606/1745 1605/1744 1151/1263 \nf 1152/1264 1151/1263 1119/1231 \nf 1153/1265 728/815 1606/1745 1152/1264 \nf 1153/1265 1152/1264 1119/1231 \nf 1154/1266 1607/1746 728/815 1153/1265 \nf 1154/1266 1153/1265 1119/1231 \nf 1155/1267 1608/1747 1607/1746 1154/1266 \nf 1155/1267 1154/1266 1119/1231 \nf 1120/1232 710/791 1608/1747 1155/1267 \nf 1120/1232 1155/1267 1119/1231 \nf 1158/1270 730/817 729/816 1157/1269 \nf 1158/1270 1157/1269 1156/1268 \nf 1159/1271 1599/1738 730/817 1158/1270 \nf 1159/1271 1158/1270 1156/1268 \nf 1160/1272 1609/1749 1599/1738 1159/1271 \nf 1160/1272 1159/1271 1156/1268 \nf 1161/1273 1512/1641 1609/1748 1160/1272 \nf 1161/1273 1160/1272 1156/1268 \nf 1162/1274 1611/1752 1512/1641 1161/1273 \nf 1162/1274 1161/1273 1156/1268 \nf 1163/1275 731/818 1611/1752 1162/1274 \nf 1163/1275 1162/1274 1156/1268 \nf 1164/1276 1612/1754 731/818 1163/1275 \nf 1164/1276 1163/1275 1156/1268 \nf 1165/1277 1613/1756 1612/1754 1164/1276 \nf 1165/1277 1164/1276 1156/1268 \nf 1166/1278 732/820 1613/1756 1165/1277 \nf 1166/1278 1165/1277 1156/1268 \nf 1167/1279 1610/1750 732/820 1166/1278 \nf 1167/1279 1166/1278 1156/1268 \nf 1168/1280 1614/1758 1610/1750 1167/1279 \nf 1168/1280 1167/1279 1156/1268 \nf 1169/1281 733/822 1614/1758 1168/1280 \nf 1169/1281 1168/1280 1156/1268 \nf 1170/1282 1615/1759 733/822 1169/1281 \nf 1170/1282 1169/1281 1156/1268 \nf 1171/1283 734/823 1615/1759 1170/1282 \nf 1171/1283 1170/1282 1156/1268 \nf 1172/1284 735/824 734/823 1171/1283 \nf 1172/1284 1171/1283 1156/1268 \nf 1173/1285 736/825 735/824 1172/1284 \nf 1173/1285 1172/1284 1156/1268 \nf 1174/1286 737/826 736/825 1173/1285 \nf 1174/1286 1173/1285 1156/1268 \nf 1175/1287 738/827 737/826 1174/1286 \nf 1175/1287 1174/1286 1156/1268 \nf 1176/1288 1618/1762 738/827 1175/1287 \nf 1176/1288 1175/1287 1156/1268 \nf 1177/1289 1619/1763 1618/1762 1176/1288 \nf 1177/1289 1176/1288 1156/1268 \nf 1178/1290 1620/1764 1619/1763 1177/1289 \nf 1178/1290 1177/1289 1156/1268 \nf 1179/1291 739/828 1620/1764 1178/1290 \nf 1179/1291 1178/1290 1156/1268 \nf 1180/1292 740/829 739/828 1179/1291 \nf 1180/1292 1179/1291 1156/1268 \nf 1181/1293 1600/1739 740/829 1180/1292 \nf 1181/1293 1180/1292 1156/1268 \nf 1182/1294 741/830 1600/1739 1181/1293 \nf 1182/1294 1181/1293 1156/1268 \nf 1183/1295 742/831 741/830 1182/1294 \nf 1183/1295 1182/1294 1156/1268 \nf 1184/1296 743/832 742/831 1183/1295 \nf 1184/1296 1183/1295 1156/1268 \nf 1185/1297 744/833 743/832 1184/1296 \nf 1185/1297 1184/1296 1156/1268 \nf 1186/1298 1621/1765 744/833 1185/1297 \nf 1186/1298 1185/1297 1156/1268 \nf 1187/1299 1617/1761 1621/1765 1186/1298 \nf 1187/1299 1186/1298 1156/1268 \nf 1188/1300 745/834 1617/1761 1187/1299 \nf 1188/1300 1187/1299 1156/1268 \nf 1189/1301 746/835 745/834 1188/1300 \nf 1189/1301 1188/1300 1156/1268 \nf 1190/1302 747/836 746/835 1189/1301 \nf 1190/1302 1189/1301 1156/1268 \nf 1191/1303 748/837 747/836 1190/1302 \nf 1191/1303 1190/1302 1156/1268 \nf 1192/1304 1616/1760 748/837 1191/1303 \nf 1192/1304 1191/1303 1156/1268 \nf 1157/1269 729/816 1616/1760 1192/1304 \nf 1157/1269 1192/1304 1156/1268 \nf 1195/1307 1193/1305 1194/1306 \nf 1194/1306 1354/1472 477/549 1195/1307 \nf 1196/1308 1193/1305 1195/1307 \nf 1195/1307 477/549 1355/1474 1196/1308 \nf 1197/1309 1193/1305 1196/1308 \nf 1196/1308 1355/1474 478/550 1197/1309 \nf 1198/1310 1193/1305 1197/1309 \nf 1197/1309 478/550 479/551 1198/1310 \nf 1199/1311 1193/1305 1198/1310 \nf 1198/1310 479/551 1356/1475 1199/1311 \nf 1200/1312 1193/1305 1199/1311 \nf 451/517 1365/1484 1200/1312 \nf 451/517 1200/1312 1199/1311 1356/1475 \nf 1201/1313 1193/1305 1200/1312 \nf 1200/1312 1365/1484 1366/1485 1201/1313 \nf 1202/1314 1193/1305 1201/1313 \nf 1201/1313 1366/1485 1367/1486 1202/1314 \nf 1203/1315 1193/1305 1202/1314 \nf 1202/1314 1367/1486 486/558 1203/1315 \nf 1204/1316 1193/1305 1203/1315 \nf 1203/1315 486/558 487/559 1204/1316 \nf 1205/1317 1193/1305 1204/1316 \nf 1204/1316 487/559 488/560 1205/1317 \nf 1206/1318 1193/1305 1205/1317 \nf 1205/1317 488/560 489/561 1206/1318 \nf 1207/1319 1193/1305 1206/1318 \nf 1206/1318 489/561 1368/1487 1207/1319 \nf 1208/1320 1193/1305 1207/1319 \nf 1207/1319 1368/1487 490/562 1208/1320 \nf 1209/1321 1193/1305 1208/1320 \nf 1208/1320 490/562 1369/1488 1209/1321 \nf 1210/1322 1193/1305 1209/1321 \nf 1209/1321 1369/1488 1370/1489 1210/1322 \nf 1211/1323 1193/1305 1210/1322 \nf 1210/1322 1370/1489 491/563 1211/1323 \nf 1212/1324 1193/1305 1211/1323 \nf 1211/1323 491/563 492/564 1212/1324 \nf 1213/1325 1193/1305 1212/1324 \nf 1212/1324 492/564 493/565 1213/1325 \nf 1214/1326 1193/1305 1213/1325 \nf 1213/1325 493/565 1371/1490 1214/1326 \nf 1215/1327 1193/1305 1214/1326 \nf 1214/1326 1371/1490 1372/1491 1215/1327 \nf 1216/1328 1193/1305 1215/1327 \nf 1215/1327 1372/1491 494/566 1216/1328 \nf 1217/1329 1193/1305 1216/1328 \nf 1216/1328 1622/1766 480/552 1217/1329 \nf 1622/1766 1216/1328 494/566 \nf 1218/1330 1193/1305 1217/1329 \nf 1217/1329 480/552 1357/1476 1218/1330 \nf 1219/1331 1193/1305 1218/1330 \nf 1218/1330 1357/1476 1358/1477 1219/1331 \nf 1220/1332 1193/1305 1219/1331 \nf 1219/1331 1358/1477 481/553 1220/1332 \nf 1221/1333 1193/1305 1220/1332 \nf 1220/1332 481/553 1359/1478 1221/1333 \nf 1222/1334 1193/1305 1221/1333 \nf 1221/1333 1359/1478 1360/1479 1222/1334 \nf 1223/1335 1193/1305 1222/1334 \nf 1222/1334 1360/1479 482/554 1223/1335 \nf 1224/1336 1193/1305 1223/1335 \nf 1223/1335 482/554 1361/1480 1224/1336 \nf 1225/1337 1193/1305 1224/1336 \nf 1224/1336 1361/1480 483/555 1225/1337 \nf 1226/1338 1193/1305 1225/1337 \nf 1225/1337 483/555 1362/1481 1226/1338 \nf 1227/1339 1193/1305 1226/1338 \nf 1226/1338 1362/1481 484/556 1227/1339 \nf 1228/1340 1193/1305 1227/1339 \nf 1227/1339 484/556 485/557 1228/1340 \nf 1229/1341 1193/1305 1228/1340 \nf 1228/1340 485/557 1363/1482 1229/1341 \nf 1194/1306 1193/1305 1229/1341 \nf 1229/1341 1363/1482 1354/1471 1194/1306 \nf 1232/1344 1230/1342 1231/1343 \nf 1231/1343 1401/1523 1402/1524 1232/1344 \nf 1233/1345 1230/1342 1232/1344 \nf 1232/1344 1402/1524 539/614 1233/1345 \nf 1234/1346 1230/1342 1233/1345 \nf 1233/1345 539/614 540/615 1234/1346 \nf 1235/1347 1230/1342 1234/1346 \nf 1234/1346 540/615 541/616 1235/1347 \nf 1236/1348 1230/1342 1235/1347 \nf 1235/1347 541/616 1403/1525 1236/1348 \nf 1237/1349 1230/1342 1236/1348 \nf 453/519 1411/1533 1237/1349 \nf 453/519 1237/1349 1236/1348 1403/1525 \nf 1238/1350 1230/1342 1237/1349 \nf 1237/1349 1411/1533 1412/1534 1238/1350 \nf 1239/1352 1230/1342 1238/1350 \nf 1238/1350 1412/1534 1413/1536 1239/1352 \nf 1240/1353 1230/1342 1239/1352 \nf 1239/1351 1413/1535 549/625 1240/1354 \nf 1241/1355 1230/1342 1240/1353 \nf 1240/1353 549/624 1414/1537 1241/1355 \nf 1242/1356 1230/1342 1241/1355 \nf 1241/1355 1414/1537 550/626 1242/1356 \nf 1243/1357 1230/1342 1242/1356 \nf 1242/1356 550/626 1415/1538 1243/1357 \nf 1244/1358 1230/1342 1243/1357 \nf 1243/1357 1415/1538 1416/1539 1244/1358 \nf 1245/1359 1230/1342 1244/1358 \nf 1244/1358 1416/1539 1417/1540 1245/1359 \nf 1246/1360 1230/1342 1245/1359 \nf 1245/1359 1417/1540 1418/1541 1246/1360 \nf 1247/1361 1230/1342 1246/1360 \nf 1246/1360 1418/1541 551/627 1247/1361 \nf 1248/1362 1230/1342 1247/1361 \nf 1247/1361 551/627 1419/1542 1248/1362 \nf 1249/1363 1230/1342 1248/1362 \nf 1248/1362 1419/1542 1420/1543 1249/1363 \nf 1250/1364 1230/1342 1249/1363 \nf 1249/1363 1420/1543 1421/1544 1250/1364 \nf 1251/1365 1230/1342 1250/1364 \nf 1250/1364 1421/1544 1422/1545 1251/1365 \nf 1252/1366 1230/1342 1251/1365 \nf 1251/1365 1422/1545 1423/1546 1252/1366 \nf 1253/1367 1230/1342 1252/1366 \nf 1252/1366 1423/1546 1424/1547 1253/1367 \nf 1254/1368 1230/1342 1253/1367 \nf 1253/1367 452/518 542/617 1254/1368 \nf 452/518 1253/1367 1424/1547 \nf 1255/1369 1230/1342 1254/1368 \nf 1254/1368 542/617 543/618 1255/1369 \nf 1256/1370 1230/1342 1255/1369 \nf 1255/1369 543/618 1405/1527 1256/1370 \nf 1257/1371 1230/1342 1256/1370 \nf 1256/1370 1405/1527 544/619 1257/1371 \nf 1258/1372 1230/1342 1257/1371 \nf 1257/1371 544/619 1406/1528 1258/1372 \nf 1259/1373 1230/1342 1258/1372 \nf 1258/1372 1406/1528 545/620 1259/1373 \nf 1260/1374 1230/1342 1259/1373 \nf 1259/1373 545/620 1407/1529 1260/1374 \nf 1261/1375 1230/1342 1260/1374 \nf 1260/1374 1407/1529 1408/1530 1261/1375 \nf 1262/1376 1230/1342 1261/1375 \nf 1261/1375 1408/1530 546/621 1262/1376 \nf 1263/1377 1230/1342 1262/1376 \nf 1262/1376 546/621 1409/1531 1263/1377 \nf 1264/1378 1230/1342 1263/1377 \nf 1263/1377 1409/1531 547/622 1264/1378 \nf 1265/1379 1230/1342 1264/1378 \nf 1264/1378 547/622 1410/1532 1265/1379 \nf 1266/1380 1230/1342 1265/1379 \nf 1265/1379 1410/1532 548/623 1266/1380 \nf 1231/1343 1230/1342 1266/1380 \nf 1266/1380 548/623 1401/1523 1231/1343 \nf 1269/1383 648/727 1511/1639 1268/1382 \nf 1269/1383 1268/1382 1267/1381 \nf 1270/1384 1425/1548 648/727 1269/1383 \nf 1270/1384 1269/1383 1267/1381 \nf 1271/1385 649/728 1425/1548 1270/1384 \nf 1271/1385 1270/1384 1267/1381 \nf 1272/1386 650/729 649/728 1271/1385 \nf 1272/1386 1271/1385 1267/1381 \nf 1273/1387 1513/1643 650/729 1272/1386 \nf 1273/1387 1272/1386 1267/1381 \nf 1274/1388 651/730 1513/1643 1273/1387 \nf 1274/1388 1273/1387 1267/1381 \nf 1275/1389 1514/1644 651/730 1274/1388 \nf 1275/1389 1274/1388 1267/1381 \nf 1276/1390 652/731 1514/1644 1275/1389 \nf 1276/1390 1275/1389 1267/1381 \nf 1277/1391 1515/1645 652/731 1276/1390 \nf 1277/1391 1276/1390 1267/1381 \nf 1278/1392 1516/1646 1515/1645 1277/1391 \nf 1278/1392 1277/1391 1267/1381 \nf 1279/1393 1517/1647 1516/1646 1278/1392 \nf 1279/1393 1278/1392 1267/1381 \nf 1280/1394 1518/1648 1517/1647 1279/1393 \nf 1280/1394 1279/1393 1267/1381 \nf 1281/1395 1519/1649 1518/1648 1280/1394 \nf 1281/1395 1280/1394 1267/1381 \nf 1282/1396 1520/1650 1519/1649 1281/1395 \nf 1282/1396 1281/1395 1267/1381 \nf 1283/1397 653/732 1520/1650 1282/1396 \nf 1283/1397 1282/1396 1267/1381 \nf 1284/1398 1521/1651 653/732 1283/1397 \nf 1284/1398 1283/1397 1267/1381 \nf 1285/1399 1522/1652 1521/1651 1284/1398 \nf 1285/1399 1284/1398 1267/1381 \nf 1286/1400 1523/1653 1522/1652 1285/1399 \nf 1286/1400 1285/1399 1267/1381 \nf 1287/1401 654/733 1523/1653 1286/1400 \nf 1287/1401 1286/1400 1267/1381 \nf 1288/1402 655/734 654/733 1287/1401 \nf 1288/1402 1287/1401 1267/1381 \nf 1289/1403 656/735 655/734 1288/1402 \nf 1289/1403 1288/1402 1267/1381 \nf 1290/1404 657/736 656/735 1289/1403 \nf 1290/1404 1289/1403 1267/1381 \nf 1291/1405 1524/1654 657/736 1290/1404 \nf 1291/1405 1290/1404 1267/1381 \nf 1292/1406 1525/1655 1524/1654 1291/1405 \nf 1292/1406 1291/1405 1267/1381 \nf 1293/1407 658/737 1525/1655 1292/1406 \nf 1293/1407 1292/1406 1267/1381 \nf 1294/1408 1526/1656 658/737 1293/1407 \nf 1294/1408 1293/1407 1267/1381 \nf 1295/1409 1527/1657 1526/1656 1294/1408 \nf 1295/1409 1294/1408 1267/1381 \nf 1296/1410 1528/1658 1527/1657 1295/1409 \nf 1296/1410 1295/1409 1267/1381 \nf 1297/1411 1529/1659 1528/1658 1296/1410 \nf 1297/1411 1296/1410 1267/1381 \nf 1298/1412 659/738 1529/1659 1297/1411 \nf 1298/1412 1297/1411 1267/1381 \nf 1299/1413 660/739 659/738 1298/1412 \nf 1299/1413 1298/1412 1267/1381 \nf 1300/1414 661/740 660/739 1299/1413 \nf 1300/1414 1299/1413 1267/1381 \nf 1301/1415 1530/1660 661/740 1300/1414 \nf 1301/1415 1300/1414 1267/1381 \nf 1302/1416 662/741 1530/1660 1301/1415 \nf 1302/1416 1301/1415 1267/1381 \nf 1303/1417 663/742 662/741 1302/1416 \nf 1303/1417 1302/1416 1267/1381 \nf 1268/1382 1511/1638 663/742 1303/1417 \nf 1268/1382 1303/1417 1267/1381 \nf 1306/1420 1550/1683 1549/1682 1305/1419 \nf 1306/1420 1305/1419 1304/1418 \nf 1307/1421 1461/1587 1550/1683 1306/1420 \nf 1307/1421 1306/1420 1304/1418 \nf 1308/1422 1551/1684 1461/1587 1307/1421 \nf 1308/1422 1307/1421 1304/1418 \nf 1309/1423 1552/1685 1551/1684 1308/1422 \nf 1309/1423 1308/1422 1304/1418 \nf 1310/1424 1553/1686 1552/1685 1309/1423 \nf 1310/1424 1309/1423 1304/1418 \nf 1311/1425 1554/1687 1553/1686 1310/1424 \nf 1311/1425 1310/1424 1304/1418 \nf 1312/1426 1555/1688 1554/1687 1311/1425 \nf 1312/1426 1311/1425 1304/1418 \nf 1313/1427 1556/1689 1555/1688 1312/1426 \nf 1313/1427 1312/1426 1304/1418 \nf 1314/1428 1557/1692 1556/1689 1313/1427 \nf 1314/1428 1313/1427 1304/1418 \nf 1315/1429 681/761 1557/1691 1314/1428 \nf 1315/1429 1314/1428 1304/1418 \nf 1316/1430 682/762 681/761 1315/1429 \nf 1316/1430 1315/1429 1304/1418 \nf 1317/1431 683/763 682/762 1316/1430 \nf 1317/1431 1316/1430 1304/1418 \nf 1318/1432 1558/1694 683/763 1317/1431 \nf 1318/1432 1317/1431 1304/1418 \nf 1319/1433 1559/1695 1558/1694 1318/1432 \nf 1319/1433 1318/1432 1304/1418 \nf 1320/1434 684/764 1559/1695 1319/1433 \nf 1320/1434 1319/1433 1304/1418 \nf 1321/1435 1560/1696 684/764 1320/1434 \nf 1321/1435 1320/1434 1304/1418 \nf 1322/1436 685/765 1560/1696 1321/1435 \nf 1322/1436 1321/1435 1304/1418 \nf 1323/1437 1561/1697 685/765 1322/1436 \nf 1323/1437 1322/1436 1304/1418 \nf 1324/1438 686/766 1561/1697 1323/1437 \nf 1324/1438 1323/1437 1304/1418 \nf 1325/1439 1562/1698 686/766 1324/1438 \nf 1325/1439 1324/1438 1304/1418 \nf 1326/1440 1563/1699 1562/1698 1325/1439 \nf 1326/1440 1325/1439 1304/1418 \nf 1327/1441 687/767 1563/1699 1326/1440 \nf 1327/1441 1326/1440 1304/1418 \nf 1328/1442 1564/1700 687/767 1327/1441 \nf 1328/1442 1327/1441 1304/1418 \nf 1329/1443 1565/1701 1564/1700 1328/1442 \nf 1329/1443 1328/1442 1304/1418 \nf 1330/1444 688/768 1565/1701 1329/1443 \nf 1330/1444 1329/1443 1304/1418 \nf 1331/1445 1566/1702 688/768 1330/1444 \nf 1331/1445 1330/1444 1304/1418 \nf 1332/1446 689/769 1566/1702 1331/1445 \nf 1332/1446 1331/1445 1304/1418 \nf 1333/1447 690/770 689/769 1332/1446 \nf 1333/1447 1332/1446 1304/1418 \nf 1334/1448 691/771 690/770 1333/1447 \nf 1334/1448 1333/1447 1304/1418 \nf 1335/1449 1533/1663 691/771 1334/1448 \nf 1335/1449 1334/1448 1304/1418 \nf 1336/1450 692/772 1533/1663 1335/1449 \nf 1336/1450 1335/1449 1304/1418 \nf 1337/1451 1568/1704 692/772 1336/1450 \nf 1337/1451 1336/1450 1304/1418 \nf 1338/1452 693/773 1568/1704 1337/1451 \nf 1338/1452 1337/1451 1304/1418 \nf 1339/1453 694/774 693/773 1338/1452 \nf 1339/1453 1338/1452 1304/1418 \nf 1340/1454 1569/1705 694/774 1339/1453 \nf 1340/1454 1339/1453 1304/1418 \nf 1305/1419 1549/1682 1569/1705 1340/1454 \nf 1305/1419 1340/1454 1304/1418 \n\ng Block _\nusemtl _\nv -43.185457 -3.729815 16.99879\nv -42.408034 -4.260638 17.228673\nv -43.185457 -3.729815 7.999922\nv -42.408034 -4.260638 8.183828\nv -43.185457 -4.87505 6.541211\nv -42.408034 -5.134194 7.072031\nv -43.185457 -12.61583 6.541211\nv -42.408034 -13.146653 7.072031\nv -43.185457 -12.61583 -6.123242\nv -42.408034 -13.146653 -6.654063\nv -43.185457 -1.226186 -6.123242\nv -42.408034 -1.004659 -6.654063\nv -43.185457 4.495808 -0.40125\nv -42.408034 5.02245 -0.622773\nv -43.185457 4.495808 8.68957\nv -42.408034 5.02245 8.422071\nv -43.185457 5.724637 9.584023\nv -42.408034 5.896002 9.053203\nv -43.185457 15.212526 9.584023\nv -42.408034 15.024441 9.053203\nv -43.185457 16.424639 8.593438\nv -42.408034 15.893816 8.342656\nv -43.185457 16.424639 -7.861992\nv -42.408034 15.893816 -7.686446\nv -43.185457 15.208349 -9.483711\nv -42.408034 14.945028 -8.952891\nv -43.185457 6.10917 -9.483711\nv -42.408034 5.578347 -8.952891\nv -43.185457 6.10917 -22.311172\nv -42.408034 5.578347 -22.841993\nv -43.185457 18.610613 -22.311172\nv -42.408034 18.832139 -22.841993\nv -43.185457 -17.32634 -6.361485\nv -42.408034 -16.799699 -6.892304\nv -43.185457 -17.32634 6.302969\nv -42.408034 -16.799699 6.83379\nv -43.185457 -25.313724 6.302969\nv -42.408034 -25.844544 6.83379\nv -43.185457 -25.313724 -6.361485\nv -42.408034 -25.844544 -6.892304\nv -16.330962 25.260497 39.88258\nv 17.152515 25.260497 39.88258\nv 23.183803 19.070382 39.88258\nv 23.183803 2.088308 39.88258\nv 17.311343 -4.260638 39.88258\nv 8.266499 -4.260638 39.88258\nv 7.154702 -5.134194 39.88258\nv 7.154702 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0.88292 0.40742 0\nvt 0.87674 0.41157 0\nvt 0.8917 0.42296 0\nvt 0.88354 0.42422 0\nvt 0.89278 0.55445 0\nvt 0.88496 0.55414 0\nvt 0.88647 0.57427 0\nvt 0.87879 0.57076 0\nvt 0.83985 0.62865 0\nvt 0.83186 0.63005 0\nvt 0.8999 0.70412 0\nvt 0.89941 0.71252 0\nvt 0.96465 0.64807 0\nvt 0.97125 0.65222 0\nvt 0.62277 0.90099 0\nvt 0.61782 0.90776 0\nvt 0.71618 0.88804 0\nvt 0.72253 0.89335 0\nvt 0.70891 0.83092 0\nvt 0.71387 0.82413 0\nvt 0.6155 0.84387 0\nvt 0.60915 0.83854 0\nvt 0.67231 0.43815 0\nvt 0.66478 0.22475 0\nvt 0.65948 0.17386 0\nvt 0.59801 0.08548 0\nvt 0.54139 0.05954 0\nvt 0.48567 0.0687 0\nvt 0.48694 0.06441 0\nvt 0.46211 0.00195 0\nvt 0.34415 0.01389 0\nvt 0.34106 0.1238 0\nvt 0.39565 0.18133 0\nvt 0.47291 0.19898 0\nvt 0.47875 0.20267 0\nvt 0.53236 0.26392 0\nvt 0.53615 0.26978 0\nvt 0.53829 0.3961 0\nvt 0.53212 0.40524 0\nvt 0.48894 0.48009 0\nvt 0.57438 0.57271 0\nvt 0.66241 0.50498 0\nvt 0.84991 0.79545 0\nvt 0.72437 0.81408 0\nvt 0.73884 0.91062 0\nvt 0.86438 0.89199 0\nvt 0.64421 0.4372 0\nvt 0.65179 0.43793 0\nvt 0.63655 0.22734 0\nvt 0.64404 0.22615 0\nvt 0.63404 0.18572 0\nvt 0.64105 0.18273 0\nvt 0.57801 0.10509 0\nvt 0.58327 0.09964 0\n\nf 1639/1783 1909/2053 1907/2051 1641/1785 \nf 1909/2053 1639/1783 1637/1781 1623/1767 \nf 1644/1788 1642/1786 1641/1785 1643/1787 \nf 1905/2049 1643/1787 1641/1785 1907/2051 \nf 1730/1874 1726/1870 1724/1868 1728/1872 \nf 1689/1833 1724/1868 1693/1837 1691/1835 \nf 1720/1864 1695/1839 1693/1837 1724/1868 \nf 1716/1860 1695/1839 1720/1864 \nf 1860/2004 1858/2002 1857/2001 1859/2003 \nf 1833/1977 1857/2001 1837/1981 1835/1979 \nf 1855/1999 1839/1983 1837/1981 1857/2001 \nf 1856/2000 1854/1998 1853/1997 1855/1999 \nf 1788/1932 1786/1930 1785/1929 1787/1931 \nf 1755/1899 1785/1929 1763/1907 1759/1903 \nf 1783/1927 1767/1911 1763/1907 1785/1929 \nf 1784/1928 1781/1925 1767/1911 1783/1927 \nf 1740/1884 1736/1880 1687/1831 1748/1892 \nf 1687/1831 1736/1880 1732/1876 \nf 1732/1876 1728/1872 1689/1833 1687/1831 \nf 1732/1876 1734/1878 1730/1874 1728/1872 \nf 1766/1910 1762/1906 1760/1904 1764/1908 \nf 1762/1906 1758/1902 1756/1900 1760/1904 \nf 1758/1902 1754/1898 1752/1896 1756/1900 \nf 1764/1908 1752/1896 1754/1898 1766/1910 \nf 1750/1894 1746/1890 1744/1888 1748/1892 \nf 1746/1890 1742/1886 1740/1884 1744/1888 \nf 1742/1886 1738/1882 1736/1880 1740/1884 \nf 1732/1876 1736/1880 1738/1882 1734/1878 \nf 1726/1870 1722/1866 1720/1864 1724/1868 \nf 1716/1860 1720/1864 1722/1866 1718/1862 \nf 1718/1862 1714/1858 1712/1856 1716/1860 \nf 1714/1858 1710/1854 1708/1852 1712/1856 \nf 1710/1854 1706/1850 1704/1848 1708/1852 \nf 1706/1850 1702/1846 1701/1845 1704/1848 \nf 1702/1846 1700/1844 1699/1843 1701/1845 \nf 1700/1844 1698/1842 1697/1841 1699/1843 \nf 1698/1842 1696/1840 1695/1839 1697/1841 \nf 1696/1840 1694/1838 1693/1837 1695/1839 \nf 1694/1838 1692/1836 1691/1835 1693/1837 \nf 1692/1836 1690/1834 1689/1833 1691/1835 \nf 1687/1831 1689/1833 1690/1834 1688/1832 \nf 1748/1892 1687/1831 1688/1832 1750/1894 \nf 1764/1908 1760/1904 1756/1900 1752/1896 \nf 1754/1898 1683/1827 1686/1830 1766/1910 \nf 1766/1910 1686/1830 1685/1829 1762/1906 \nf 1762/1906 1685/1829 1684/1828 1758/1902 \nf 1758/1902 1684/1828 1683/1827 1754/1898 \nf 1688/1832 1663/1807 1682/1826 1750/1894 \nf 1750/1894 1682/1826 1681/1825 1746/1890 \nf 1746/1890 1681/1825 1680/1824 1742/1886 \nf 1742/1886 1680/1824 1679/1823 1738/1882 \nf 1738/1882 1679/1823 1678/1822 1734/1878 \nf 1734/1878 1678/1822 1677/1821 1730/1874 \nf 1730/1874 1677/1821 1676/1820 1726/1870 \nf 1726/1870 1676/1820 1675/1819 1722/1866 \nf 1722/1866 1675/1819 1674/1818 1718/1862 \nf 1718/1862 1674/1818 1673/1817 1714/1858 \nf 1714/1858 1673/1817 1672/1816 1710/1854 \nf 1710/1854 1672/1816 1671/1815 1706/1850 \nf 1706/1850 1671/1815 1670/1814 1702/1846 \nf 1702/1846 1670/1814 1669/1813 1700/1844 \nf 1700/1844 1669/1813 1668/1812 1698/1842 \nf 1698/1842 1668/1812 1667/1811 1696/1840 \nf 1696/1840 1667/1811 1666/1810 1694/1838 \nf 1694/1838 1666/1810 1665/1809 1692/1836 \nf 1692/1836 1665/1809 1664/1808 1690/1834 \nf 1690/1834 1664/1808 1663/1807 1688/1832 \nf 1629/1773 1627/1771 1633/1777 1631/1775 \nf 1627/1771 1625/1769 1635/1779 1633/1777 \nf 1625/1769 1623/1767 1637/1781 1635/1779 \nf 1649/1793 1647/1791 1653/1797 1651/1795 \nf 1647/1791 1645/1789 1903/2047 1653/1797 \nf 1645/1789 1643/1787 1905/2049 1903/2047 \nf 1645/1789 1646/1790 1644/1788 1643/1787 \nf 1662/1806 1660/1804 1659/1803 1661/1805 \nf 1660/1804 1658/1802 1657/1801 1659/1803 \nf 1658/1802 1656/1800 1655/1799 1657/1801 \nf 1661/1805 1655/1799 1656/1800 1662/1806 \nf 1654/1798 1652/1796 1651/1795 1653/1797 \nf 1652/1796 1650/1794 1649/1793 1651/1795 \nf 1650/1794 1648/1792 1647/1791 1649/1793 \nf 1648/1792 1646/1790 1645/1789 1647/1791 \nf 1642/1786 1640/1784 1639/1783 1641/1785 \nf 1640/1784 1638/1782 1637/1781 1639/1783 \nf 1638/1782 1636/1780 1635/1779 1637/1781 \nf 1636/1780 1634/1778 1633/1777 1635/1779 \nf 1634/1778 1632/1776 1631/1775 1633/1777 \nf 1632/1776 1630/1774 1629/1773 1631/1775 \nf 1630/1774 1628/1772 1627/1771 1629/1773 \nf 1628/1772 1626/1770 1625/1769 1627/1771 \nf 1626/1770 1624/1768 1623/1767 1625/1769 \nf 1624/1768 1910/2054 1909/2053 1623/1767 \nf 1910/2054 1908/2052 1907/2051 1909/2053 \nf 1905/2049 1907/2051 1908/2052 1906/2050 \nf 1903/2047 1905/2049 1906/2050 1904/2048 \nf 1653/1797 1903/2047 1904/2048 1654/1798 \nf 1661/1805 1659/1803 1657/1801 1655/1799 \nf 1656/1800 1899/2043 1902/2046 1662/1806 \nf 1662/1806 1902/2046 1901/2045 1660/1804 \nf 1660/1804 1901/2045 1900/2044 1658/1802 \nf 1658/1802 1900/2044 1899/2043 1656/1800 \nf 1904/2048 1879/2023 1898/2042 1654/1798 \nf 1654/1798 1898/2042 1897/2041 1652/1796 \nf 1652/1796 1897/2041 1896/2040 1650/1794 \nf 1650/1794 1896/2040 1895/2039 1648/1792 \nf 1648/1792 1895/2039 1894/2038 1646/1790 \nf 1646/1790 1894/2038 1893/2037 1644/1788 \nf 1644/1788 1893/2037 1892/2036 1642/1786 \nf 1642/1786 1892/2036 1891/2035 1640/1784 \nf 1640/1784 1891/2035 1890/2034 1638/1782 \nf 1638/1782 1890/2034 1889/2033 1636/1780 \nf 1636/1780 1889/2033 1888/2032 1634/1778 \nf 1634/1778 1888/2032 1887/2031 1632/1776 \nf 1632/1776 1887/2031 1886/2030 1630/1774 \nf 1630/1774 1886/2030 1885/2029 1628/1772 \nf 1628/1772 1885/2029 1884/2028 1626/1770 \nf 1626/1770 1884/2028 1883/2027 1624/1768 \nf 1624/1768 1883/2027 1882/2026 1910/2054 \nf 1910/2054 1882/2026 1881/2025 1908/2052 \nf 1908/2052 1881/2025 1880/2024 1906/2050 \nf 1906/2050 1880/2024 1879/2023 1904/2048 \nf 1845/1989 1843/1987 1849/1993 1847/1991 \nf 1843/1987 1841/1985 1851/1995 1849/1993 \nf 1841/1985 1839/1983 1853/1997 1851/1995 \nf 1865/2009 1863/2007 1869/2013 1867/2011 \nf 1863/2007 1861/2005 1831/1975 1869/2013 \nf 1861/2005 1859/2003 1833/1977 1831/1975 \nf 1861/2005 1862/2006 1860/2004 1859/2003 \nf 1701/1845 1699/1843 1708/1852 1704/1848 \nf 1699/1843 1697/1841 1712/1856 1708/1852 \nf 1878/2022 1876/2020 1875/2019 1877/2021 \nf 1876/2020 1874/2018 1873/2017 1875/2019 \nf 1874/2018 1872/2016 1871/2015 1873/2017 \nf 1877/2021 1871/2015 1872/2016 1878/2022 \nf 1870/2014 1868/2012 1867/2011 1869/2013 \nf 1868/2012 1866/2010 1865/2009 1867/2011 \nf 1866/2010 1864/2008 1863/2007 1865/2009 \nf 1864/2008 1862/2006 1861/2005 1863/2007 \nf 1858/2002 1856/2000 1855/1999 1857/2001 \nf 1854/1998 1852/1996 1851/1995 1853/1997 \nf 1852/1996 1850/1994 1849/1993 1851/1995 \nf 1850/1994 1848/1992 1847/1991 1849/1993 \nf 1848/1992 1846/1990 1845/1989 1847/1991 \nf 1846/1990 1844/1988 1843/1987 1845/1989 \nf 1844/1988 1842/1986 1841/1985 1843/1987 \nf 1842/1986 1840/1984 1839/1983 1841/1985 \nf 1840/1984 1838/1982 1837/1981 1839/1983 \nf 1838/1982 1836/1980 1835/1979 1837/1981 \nf 1836/1980 1834/1978 1833/1977 1835/1979 \nf 1831/1975 1833/1977 1834/1978 1832/1976 \nf 1869/2013 1831/1975 1832/1976 1870/2014 \nf 1877/2021 1875/2019 1873/2017 1871/2015 \nf 1872/2016 1827/1971 1830/1974 1878/2022 \nf 1878/2022 1830/1974 1829/1973 1876/2020 \nf 1876/2020 1829/1973 1828/1972 1874/2018 \nf 1874/2018 1828/1972 1827/1971 1872/2016 \nf 1832/1976 1807/1951 1826/1970 1870/2014 \nf 1870/2014 1826/1970 1825/1969 1868/2012 \nf 1868/2012 1825/1969 1824/1968 1866/2010 \nf 1866/2010 1824/1968 1823/1967 1864/2008 \nf 1864/2008 1823/1967 1822/1966 1862/2006 \nf 1862/2006 1822/1966 1821/1965 1860/2004 \nf 1860/2004 1821/1965 1820/1964 1858/2002 \nf 1858/2002 1820/1964 1819/1963 1856/2000 \nf 1856/2000 1819/1963 1818/1962 1854/1998 \nf 1854/1998 1818/1962 1817/1961 1852/1996 \nf 1852/1996 1817/1961 1816/1960 1850/1994 \nf 1850/1994 1816/1960 1815/1959 1848/1992 \nf 1848/1992 1815/1959 1814/1958 1846/1990 \nf 1846/1990 1814/1958 1813/1957 1844/1988 \nf 1844/1988 1813/1957 1812/1956 1842/1986 \nf 1842/1986 1812/1956 1811/1955 1840/1984 \nf 1840/1984 1811/1955 1810/1954 1838/1982 \nf 1838/1982 1810/1954 1809/1953 1836/1980 \nf 1836/1980 1809/1953 1808/1952 1834/1978 \nf 1834/1978 1808/1952 1807/1951 1832/1976 \nf 1773/1917 1771/1915 1777/1921 1775/1919 \nf 1771/1915 1769/1913 1779/1923 1777/1921 \nf 1769/1913 1767/1911 1781/1925 1779/1923 \nf 1793/1937 1791/1935 1797/1941 1795/1939 \nf 1791/1935 1789/1933 1751/1895 1797/1941 \nf 1789/1933 1787/1931 1755/1899 1751/1895 \nf 1789/1933 1790/1934 1788/1932 1787/1931 \nf 1697/1841 1695/1839 1716/1860 1712/1856 \nf 1740/1884 1748/1892 1744/1888 \nf 1806/1950 1804/1948 1803/1947 1805/1949 \nf 1804/1948 1802/1946 1801/1945 1803/1947 \nf 1802/1946 1800/1944 1799/1943 1801/1945 \nf 1805/1949 1799/1943 1800/1944 1806/1950 \nf 1798/1942 1796/1940 1795/1939 1797/1941 \nf 1796/1940 1794/1938 1793/1937 1795/1939 \nf 1794/1938 1792/1936 1791/1935 1793/1937 \nf 1792/1936 1790/1934 1789/1933 1791/1935 \nf 1786/1930 1784/1928 1783/1927 1785/1929 \nf 1781/1925 1784/1928 1782/1926 \nf 1782/1926 1780/1924 1779/1923 1781/1925 \nf 1780/1924 1778/1922 1777/1921 1779/1923 \nf 1778/1922 1776/1920 1775/1919 1777/1921 \nf 1776/1920 1774/1918 1773/1917 1775/1919 \nf 1774/1918 1772/1916 1771/1915 1773/1917 \nf 1772/1916 1770/1914 1769/1913 1771/1915 \nf 1770/1914 1768/1912 1767/1911 1769/1913 \nf 1768/1912 1765/1909 1763/1907 1767/1911 \nf 1765/1909 1761/1905 1759/1903 1763/1907 \nf 1761/1905 1757/1901 1755/1899 1759/1903 \nf 1751/1895 1755/1899 1757/1901 1753/1897 \nf 1797/1941 1751/1895 1753/1897 1798/1942 \nf 1805/1949 1803/1947 1801/1945 1799/1943 \nf 1800/1944 1743/1887 1749/1893 1806/1950 \nf 1806/1950 1749/1893 1747/1891 1804/1948 \nf 1804/1948 1747/1891 1745/1889 1802/1946 \nf 1802/1946 1745/1889 1743/1887 1800/1944 \nf 1753/1897 1703/1847 1741/1885 1798/1942 \nf 1798/1942 1741/1885 1739/1883 1796/1940 \nf 1796/1940 1739/1883 1737/1881 1794/1938 \nf 1794/1938 1737/1881 1735/1879 1792/1936 \nf 1792/1936 1735/1879 1733/1877 1790/1934 \nf 1790/1934 1733/1877 1731/1875 1788/1932 \nf 1788/1932 1731/1875 1729/1873 1786/1930 \nf 1786/1930 1729/1873 1727/1871 1784/1928 \nf 1784/1928 1727/1871 1725/1869 1782/1926 \nf 1782/1926 1725/1869 1723/1867 1780/1924 \nf 1780/1924 1723/1867 1721/1865 1778/1922 \nf 1778/1922 1721/1865 1719/1863 1776/1920 \nf 1776/1920 1719/1863 1717/1861 1774/1918 \nf 1774/1918 1717/1861 1715/1859 1772/1916 \nf 1772/1916 1715/1859 1713/1857 1770/1914 \nf 1770/1914 1713/1857 1711/1855 1768/1912 \nf 1768/1912 1711/1855 1709/1853 1765/1909 \nf 1765/1909 1709/1853 1707/1851 1761/1905 \nf 1761/1905 1707/1851 1705/1849 1757/1901 \nf 1757/1901 1705/1849 1703/1847 1753/1897 \nf 1724/1868 1689/1833 1728/1872 \nf 1857/2001 1833/1977 1859/2003 \nf 1853/1997 1839/1983 1855/1999 \nf 1785/1929 1755/1899 1787/1931 \n\n"
  },
  {
    "path": "obj2js/cube.obj",
    "content": "# Blender v2.60 (sub 0) OBJ File: ''\n# www.blender.org\nmtllib cube.mtl\no Cube\nv 1.000000 -1.000000 -1.000000\nv 1.000000 -1.000000 1.000000\nv -1.000000 -1.000000 1.000000\nv -1.000000 -1.000000 -1.000000\nv 1.000000 1.000000 -1.000000\nv 1.000000 1.000000 1.000000\nv -1.000000 1.000000 1.000000\nv -1.000000 1.000000 -1.000000\nusemtl Material\nf 1 2 3 4\nf 5 8 7 6\nf 2 6 7 3\nf 3 7 8 4\nf 5 1 4 8\n#usemtl Material.001\nf 1 5 6 2\n"
  },
  {
    "path": "obj2js/index.html",
    "content": "<!doctype html>\n<script src=\"parse.js\"></script>\n<h2>OBJ to WebGL buffer converter</h2>\n<b>OBJ file</b>: <button id=mario>Mario</button> <button id=yoshi>Yoshi</button> <button id=coin>Coin block (no texture)</button>  <button id=cube>Cube (no uv)</button> <button id=wolf>Wolf</button> or <input type=file id=obj>\n<p><b>Options</b>: float range <input type=number value=10 id=scale onchange=\"convert()\" oninput=\"convert()\" min=1>, \nmax decimals (vertices): <input type=number value=2 id=round1 onchange=\"convert()\" oninput=\"convert()\" min=0 max=10>, \nmax decimals (textures): <input type=number value=2 id=round2 onchange=\"convert()\" oninput=\"convert()\" min=1 max=10>,\nUnicode precision: <input type=number value=127 id=unicode onchange=\"convert()\" oninput=\"convert()\" min=1>, <input type=checkbox checked id=indexed onchange=\"convert()\"> Indexed\n<input type=checkbox id=s onchange=\"convert()\"> Smooth <input type=checkbox id=an onchange=convert()>Animated\n<img src=\"mario.png\" id=texture hidden>\n<p>\n<table>\n<tr><th>Original (<i id=out1i>0 bytes</i>)<th>floats (<i id=out3i>0 bytes</i>)<th>Unicode (<i id=out4i>0 bytes</i>)\n<tr><td><textarea id=out1 rows=20></textarea><td><textarea id=out3 rows=20></textarea><td><textarea id=out4 rows=20></textarea>\n<tr><th colspan=3>Preview: original / floats / Unicode\n<tr><td colspan=3><center><canvas id=a width=900 height=350></canvas>\n</table>\n<center>Original: direct copy of the OBJ values. Floats / Unicode: vertices centered on the origin + lossy compression + model size = 1\n\n<script>\nconverting = 0;\nconvert = () => {\n  if(converting) return;\n  converting = 1;\n  setTimeout(()=>{converting=0},300);\n  W.reset(a);\n\n  texture.src=name + \".png\";\n  texture.onload = texture.onerror = e => {\n  \n  //console.log(file);\n    \n    parseOBJ(file).then(x=>{\n      size = x[1].size;\n      //console.log(z=x);\n      //console.log(z[0].groups[0]);\n      \n      if(!indexed.checked){\n      \n        s.checked = false;\n      \n      \n      \n        // original unindexed\n        out1.innerHTML = `W.add(\"${name}_original\", {\n  vertices: [${x[0].groups[0].originalv.map(x=>+x).join(\",\")}]${x[0].groups[0].vt.length ? (\",\\n  uv: [\" + x[0].groups[0].vt.map(x=>+x).join(\",\") + \"]\") : \"\"}\n});`;\n        out1.innerHTML = out1.innerHTML.replace(/(\\D)0\\./g,\"$1.\");\n        out1i.innerHTML = new Intl.NumberFormat(\"en-US\").format(out1.innerHTML.length) + \" bytes\";\n      \n\n        // same centered and resized (for the demo)\n        originalcentered = `W.add(\"${name}_original\"; {\n  vertices: [${x[0].groups[0].v.map(x=>+((x/size))).join(\",\")}]${x[0].groups[0].vt.length ? (\",\\n  uv: [\" + x[0].groups[0].vt.map(x=>+((x))).join(\",\") + \"]\") : \"\"}\n});`;\n      \n      // float unindexed\n      out3.innerHTML = `W.add(\"${name}\", {\n  vertices: [${x[0].groups[0].v.map(x=>+(((x/size)*(+scale.value)).toFixed(round1.value))).join(\",\")}]${scale.value!=1?(\".map(x=>x/\"+scale.value+\")\"):\"\"}${x[0].groups[0].vt.length ? (\",\\n  uv: [\" + x[0].groups[0].vt.map(x=>+((x).toFixed(round2.value))).join(\",\") + \"]\") : \"\"}\n});`;\n      out3.innerHTML = out3.innerHTML.replace(/(\\D)0\\./g,\"$1.\");\n      out3i.innerHTML = new Intl.NumberFormat(\"en-US\").format(out3.innerHTML.length) + \" bytes\";\n      \n      // unicode unindexed\n      out4.innerHTML = `W.add(\"${name}_txt\", {\n  vertices: [...'${x[0].groups[0].v.flat().map(x=>String.fromCodePoint((x*unicode.value/size).toFixed(0)).replace(/\\\\/g,\"\\\\\\\\\").replace(/'/g,\"\\\\'\").replace(/\\r/g,\"\\\\r\").replace(/\\n/g,\"\\\\n\").replace(/\\0/g,\"\\u0001\")).join(\"\")}'].map(a=>(a.codePointAt())/${unicode.value})${x[0].groups[0].vt.length ? (\",\\n  uv: [...'\" + x[0].groups[0].vt.flat().map(x=>String.fromCharCode((x*unicode.value).toFixed(0)).replace(/\\\\/g,\"\\\\\\\\\").replace(/'/g,\"\\\\'\").replace(/\\r/g,\"\\\\r\").replace(/\\n/g,\"\\\\n\").replace(/\\0/g,\"\\u0001\")).join(\"\") + \"]'].map(a=>(a.codePointAt())/\"+unicode.value+\")\") : \"\"}\n});`;\n      out4i.innerHTML = new Intl.NumberFormat(\"en-US\").format((new TextEncoder().encode(out4.innerHTML)).length) + \" bytes\";\n    }\n    \n    else {\n      \n      // original indexed\n      out1.innerHTML = `W.add(\"${name}_original\", {\n  vertices: [${x[0].groups[0].indexoriginalv.map(x=>+x).join(\",\")}]${x[0].groups[0].vt.length ? (\",\\n  uv: [\" + x[0].groups[0].indexvt.map(x=>+x).join(\",\") + \"]\") : \"\"},\n  indices: [${x[0].groups[0].indices.map(x=>+x).join(\",\")}]\n});`;\n        out1.innerHTML = out1.innerHTML.replace(/(\\D)0\\./g,\"$1.\");\n        out1i.innerHTML = new Intl.NumberFormat(\"en-US\").format(out1.innerHTML.length) + \" bytes\";\n        \n        // Original indexed centered  (for the demo)\n        originalindexedcentered = `W.add(\"${name}_original\", {\n  vertices: [${x[0].groups[0].indexv.map(x=>+(x/size)).join(\",\")}]${x[0].groups[0].vt.length ? (\",\\n  uv: [\" + x[0].groups[0].indexvt.map(x=>+x).join(\",\") + \"]\") : \"\"},\n  indices: [${x[0].groups[0].indices.map(x=>+x).join(\",\")}]\n});`;\n        originalindexedcentered = originalindexedcentered.replace(/(\\D)0\\./g,\"$1.\");\n        \n        \n        // float indexed\n        out3.innerHTML = `W.add(\"${name}\", {\n  vertices: [${x[0].groups[0].indexv.map(x=>+(((x/size)*(+scale.value)).toFixed(round1.value))).join(\",\")}]${scale.value!=1?(\".map(x=>x/\"+scale.value+\")\"):\"\"}${x[0].groups[0].vt.length ? (\",\\n  uv: [\" + x[0].groups[0].indexvt.map(x=>+((x).toFixed(round2.value))).join(\",\") + \"]\") : \"\"},\n  indices: [${x[0].groups[0].indices.map(x=>+x).join(\",\")}]\n});`;\n        out3.innerHTML = out3.innerHTML.replace(/(\\D)0\\./g,\"$1.\");\n        out3i.innerHTML = new Intl.NumberFormat(\"en-US\").format(out3.innerHTML.length) + \" bytes\";\n        \n        \n        \n        // unicode indexed\n        out4.innerHTML = `W.add(\"${name}_txt\", {\n  vertices: [...'${x[0].groups[0].indexv.map(x=>String.fromCharCode((x*unicode.value/size).toFixed(0)).replace(/\\\\/g,\"\\\\\\\\\").replace(/'/g,\"\\\\'\").replace(/\\r/g,\"\\\\r\").replace(/\\n/g,\"\\\\n\").replace(/\\0/g,\"\\u0001\")).join(\"\")}'].map(a=>(a.codePointAt())/${unicode.value})${x[0].groups[0].vt.length ? (\",\\n  uv: [...'\" + x[0].groups[0].indexvt.map(x=>String.fromCharCode((x*unicode.value).toFixed(0)).replace(/\\\\/g,\"\\\\\\\\\").replace(/'/g,\"\\\\'\").replace(/\\r/g,\"\\\\r\").replace(/\\n/g,\"\\\\n\").replace(/\\0/g,\"\\u0001\")).join(\"\") + \"'].map(a=>(a.codePointAt())/\"+unicode.value+\")\") : \"\"},\n  indices: [${x[0].groups[0].indices.join(\",\")}]\n});`;\n      out4.innerHTML = out4.innerHTML.replace(/(\\D)0\\./g,\"$1.\");\n      out4i.innerHTML = new Intl.NumberFormat(\"en-US\").format(out4.innerHTML.length) + \" bytes\";\n  }\n\n      //console.log(out1.value);\n      //eval(originalcentered);\n      eval(originalindexedcentered);\n      eval(out3.value);\n      eval(out4.value);\n      //console.log(W.mario);\n      W.camera({x:0,z:100,fov:13});\n      W.light({x:0,y:.8,z:-.8});\n      W.group({n:\"g0\", x:-35,rx:name==\"mario\"?-90:0,ry:name==\"mario\"||name==\"yoshi\"?180:0});\n      W.group({n:\"g1\", x:-1,rx:name==\"mario\"?-90:0,ry:name==\"mario\"||name==\"yoshi\"?180:0});\n      W.group({n:\"g2\", x:33,rx:name==\"mario\"?-90:0,ry:name==\"mario\"||name==\"yoshi\"?180:0});\n      setTimeout(()=>{\n      \n        W[name+\"_original\"]({n:\"obj0\",g:\"g0\",x:-15,y:-15,z:-15,w:30,h:30,d:30,b:\"777\",t: texture, mix: e.type===\"error\"?1:0, s: +!!s.checked});\n        W[name]({n:\"obj1\",g:\"g1\",x:-15,y:-15,z:-15,w:30,h:30,d:30,b:\"777\",t: texture, mix: e.type===\"error\"?1:0, s: +!!s.checked});\n        W[name+\"_txt\"]({n:\"obj2\",g:\"g2\",x:-15,y:-15,z:-15,w:30,h:30,d:30,b:\"777\",t: texture, mix: e.type===\"error\"?1:0, s: +!!s.checked});\n        //setTimeout(()=>{\n        if(an.checked){\n          W.move({n:\"g0\",rx:3600,rz:3600,a:100000},100);\n          W.move({n:\"g1\",rx:3600,rz:3600,a:100000},100);\n          W.move({n:\"g2\",rx:3600,rz:3600,a:100000},100);\n        }\n      },100);\n    })\n\n  }\n\n}\n\nmario.onclick = async () => {\n  name = \"mario\";\n  file = await(await fetch(\"mario.obj\")).text();\n  convert();\n}\n\nyoshi.onclick = async () => {\n  name = \"yoshi\";\n  file = await(await fetch(\"yoshi.obj\")).text();\n  convert();\n}\n\ncoin.onclick = async () => {\n  name = \"coin\";\n  file = await(await fetch(\"coin.obj\")).text();\n  convert();\n}\n\ncube.onclick = async () => {\n  name = \"cubeobj\";\n  file = await(await fetch(\"cube.obj\")).text();\n  convert();\n}\n\nwolf.onclick = async () => {\n  name = \"wolf\";\n  file = await(await fetch(\"wolf.obj\")).text();\n  convert();\n}\n\nobj.onload = obj.oninput = () => {\n  if (obj.files && obj.files[0]) {\n    var myFile = obj.files[0];\n    var reader = new FileReader();\n    \n    reader.addEventListener('load', function (e) {\n      file = e.target.result;\n      name = obj.files[0].name.replace(/\\.obj/i,\"\");\n      convert();\n    });\n    \n    reader.readAsBinaryString(myFile);\n  }   \n}\n</script>\n<style>\nbody { font-family: arial; font-size: 11px; }\ntextarea { width: 31vw; height: calc((100vh - 390px - 17em)); font-size: 10px;line-height: 9px }\ninput, button { font-size: 11px; }\n#round1, #round2, #scale, #unicode { width: 35px }\ncanvas { border: 1px solid; max-width: 98vw; }\n#indexed:not(:checked) ~ #s { cursor: not-allowed }\n</style>\n<script src=\"../src/w.js\"></script>"
  },
  {
    "path": "obj2js/mario.mtl",
    "content": "# Blender3D MTL File: mario_yoshi.blend\n# Material Count: 1\nnewmtl mario\nNs 0.000000\nKa 0.000000 0.000000 0.000000\nKd 0.800000 0.800000 0.800000\nKs 0.000000 0.000000 0.000000\nNi 1.000000\nd 1.000000\nillum 0\nmap_Kd ./mario.png\n\n\n"
  },
  {
    "path": "obj2js/mario.obj",
    "content": "# Blender3D v249 OBJ File: mario_yoshi.blend\n# www.blender3d.org\nmtllib mario.mtl\nv 0.025303 0.494453 0.390066\nv -0.012017 0.432430 0.307881\nv 0.062684 0.432430 0.307909\nv -0.076553 0.472121 0.389358\nv 0.127160 0.472121 0.389433\nv -0.101984 0.418420 0.346959\nv 0.152623 0.418420 0.347053\nv -0.143498 0.410087 0.348342\nv 0.194136 0.410087 0.348467\nv -0.207638 0.407527 0.452266\nv 0.258199 0.407527 0.452438\nv -0.153345 0.414255 0.490935\nv 0.203878 0.414255 0.491067\nv -0.219153 0.375347 0.426734\nv 0.269733 0.375347 0.426914\nv -0.260334 0.353885 0.439309\nv 0.310905 0.353885 0.439520\nv -0.273475 0.333619 0.483345\nv 0.324013 0.333619 0.483566\nv -0.241246 0.346472 0.536333\nv 0.291745 0.346472 0.536530\nv -0.190265 0.392393 0.507376\nv 0.240786 0.392393 0.507535\nv -0.107832 0.430788 0.476830\nv 0.158375 0.430788 0.476928\nv -0.187079 0.385291 0.363914\nv 0.237705 0.385291 0.364070\nv -0.052857 0.447186 0.467524\nv 0.103407 0.447186 0.467582\nv 0.025276 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0.219600\nvt 0.603700 0.236700\nvt 0.626200 0.077800\nvt 0.618000 0.043700\nvt 0.627600 0.045500\nvt 0.671800 0.046400\nvt 0.619700 0.169600\nvt 0.566500 0.174800\nvt 0.716400 0.294800\nvt 0.718300 0.295000\nvt 0.719700 0.261500\nvt 0.662100 0.365300\nvt 0.698400 0.364800\nvt 0.622900 0.356700\nvt 0.711400 0.331800\nvt 0.628700 0.329800\nvt 0.513000 0.295900\nvt 0.734500 0.272800\nvt 0.718100 0.260900\nvt 0.734000 0.285300\nvt 0.691900 0.150900\nvt 0.657700 0.177600\nvt 0.693100 0.177100\nvt 0.659000 0.150500\nvt 0.711200 0.343900\nvt 0.710700 0.353700\nvt 0.670100 0.076800\nvt 0.706100 0.077800\nvt 0.712200 0.079800\nvt 0.674900 0.112600\nvt 0.710500 0.111600\nvt 0.674800 0.079300\nvt 0.561600 0.225200\nvt 0.698900 0.363900\nvt 0.721400 0.056200\nvt 0.722300 0.068100\nvt 0.705500 0.046000\nvt 0.726800 0.308100\nvt 0.726200 0.322600\nvt 0.710900 0.332200\nvt 0.668500 0.115100\nvt 0.668600 0.146600\nvt 0.708100 0.116900\nvt 0.705600 0.146200\nvt 0.720600 0.124100\nvt 0.720000 0.137600\nvt 0.663700 0.201700\nvt 0.705500 0.157600\nvt 0.705000 0.166800\nvt 0.659300 0.024300\nvt 0.728100 0.091000\nvt 0.727600 0.102700\nusemtl mario\ns 1\nf 1/1 33/2 2/3\nf 33/2 1/1 3/3\nf 31/4 1/1 2/3\nf 3/3 1/1 32/4\nf 1/1 31/4 4/5\nf 32/4 1/1 5/5\nf 6/6 4/5 31/4\nf 32/4 5/5 7/6\nf 4/5 6/6 8/7\nf 9/7 7/6 5/5\nf 8/7 26/8 4/5\nf 5/5 27/8 9/7\nf 10/9 4/5 26/8\nf 27/8 5/5 11/9\nf 4/5 10/9 24/10\nf 25/10 11/9 5/5\nf 12/11 24/10 10/9\nf 11/9 25/10 13/11\nf 26/8 14/12 10/9\nf 11/9 15/12 27/8\nf 16/13 10/9 14/12\nf 15/12 11/9 17/13\nf 10/9 16/13 18/14\nf 19/14 17/13 11/9\nf 1/1 4/5 30/15\nf 5/5 1/1 30/15\nf 28/16 30/15 4/5\nf 5/5 30/15 29/16\nf 12/11 10/9 22/17\nf 23/17 11/9 13/11\nf 10/9 20/18 22/17\nf 23/17 21/18 11/9\nf 4/5 24/10 28/16\nf 29/16 25/10 5/5\nf 18/14 20/18 10/9\nf 11/9 21/18 19/14\nf 24/10 6/6 28/16\nf 29/16 7/6 25/10\nf 6/6 24/10 8/7\nf 9/7 25/10 7/6\nf 12/11 8/7 24/10\nf 25/10 9/7 13/11\nf 12/11 26/8 8/7\nf 9/7 27/8 13/11\nf 26/8 12/11 14/12\nf 15/12 13/11 27/8\nf 22/17 14/12 12/11\nf 13/11 15/12 23/17\nf 22/17 16/13 14/12\nf 15/12 17/13 23/17\nf 16/13 22/17 18/14\nf 19/14 23/17 17/13\nf 22/17 20/18 18/14\nf 19/14 21/18 23/17\nf 6/6 31/4 28/16\nf 29/16 32/4 7/6\nf 31/4 2/3 28/16\nf 29/16 3/3 32/4\nf 28/16 2/3 30/15\nf 30/15 3/3 29/16\nf 2/3 33/2 30/15\nf 30/15 33/2 3/3\nf 59/19 34/20 55/21\nf 56/21 35/20 60/19\nf 45/22 41/23 49/24\nf 50/24 42/23 46/22\nf 63/25 59/19 64/26\nf 65/26 60/19 104/25\nf 40/27 45/22 36/28\nf 37/28 46/22 123/27\nf 45/22 40/27 41/23\nf 42/23 123/27 46/22\nf 47/29 36/28 45/22\nf 46/22 37/28 48/29\nf 36/28 47/29 51/30\nf 52/30 48/29 37/28\nf 34/20 63/25 66/31\nf 100/31 104/25 35/20\nf 63/25 34/20 59/19\nf 60/19 35/20 104/25\nf 41/23 43/32 49/24\nf 50/24 44/32 42/23\nf 38/33 49/24 43/32\nf 44/32 50/24 39/33\nf 49/24 38/33 53/34\nf 54/34 39/33 50/24\nf 34/20 51/30 55/21\nf 56/21 52/30 35/20\nf 51/30 34/20 36/28\nf 37/28 35/20 52/30\nf 36/28 34/20 66/31\nf 100/31 35/20 37/28\nf 36/28 66/31 40/27\nf 123/27 100/31 37/28\nf 38/33 57/35 53/34\nf 54/34 58/35 39/33\nf 57/35 38/33 61/36\nf 62/36 39/33 58/35\nf 43/32 61/36 38/33\nf 39/33 62/36 44/32\nf 61/36 43/32 102/37\nf 103/37 44/32 62/36\nf 49/24 47/29 45/22\nf 46/22 48/29 50/24\nf 47/29 49/24 51/30\nf 52/30 50/24 48/29\nf 53/34 51/30 49/24\nf 50/24 52/30 54/34\nf 51/30 53/34 55/21\nf 56/21 54/34 52/30\nf 57/35 55/21 53/34\nf 54/34 56/21 58/35\nf 55/21 57/35 59/19\nf 60/19 58/35 56/21\nf 61/36 59/19 57/35\nf 58/35 60/19 62/36\nf 59/19 61/36 64/26\nf 65/26 62/36 60/19\nf 102/37 64/26 61/36\nf 62/36 65/26 103/37\nf 64/26 102/37 63/25\nf 104/25 103/37 65/26\nf 70/38 220/39 69/40\nf 69/40 220/39 71/38\nf 220/39 70/38 72/41\nf 73/41 71/38 220/39\nf 114/42 72/41 70/38\nf 71/38 73/41 113/42\nf 72/41 114/42 130/43\nf 281/43 113/42 73/41\nf 70/38 67/44 116/45\nf 115/45 67/44 71/38\nf 67/44 70/38 68/46\nf 71/38 67/44 68/46\nf 69/40 68/46 70/38\nf 71/38 68/46 69/40\nf 72/41 74/47 220/39\nf 220/39 75/47 73/41\nf 74/47 72/41 76/48\nf 77/48 73/41 75/47\nf 130/43 76/48 72/41\nf 73/41 77/48 281/43\nf 67/44 132/49 116/45\nf 131/49 67/44 115/45\nf 114/42 70/38 116/45\nf 115/45 71/38 113/42\nf 132/49 67/44 134/50\nf 134/50 67/44 131/49\nf 216/51 78/52 79/53\nf 80/53 78/52 149/51\nf 79/53 78/52 81/54\nf 82/54 78/52 80/53\nf 79/53 81/54 83/55\nf 84/55 82/54 80/53\nf 85/56 83/55 81/54\nf 82/54 84/55 86/56\nf 83/55 85/56 87/57\nf 88/57 86/56 84/55\nf 89/58 87/57 85/56\nf 86/56 88/57 89/58\nf 87/57 89/58 83/55\nf 84/55 89/58 88/57\nf 90/59 83/55 89/58\nf 89/58 84/55 91/59\nf 83/55 90/59 79/53\nf 80/53 91/59 84/55\nf 92/60 79/53 90/59\nf 91/59 80/53 93/60\nf 79/53 92/60 94/61\nf 95/61 93/60 80/53\nf 96/62 94/61 92/60\nf 93/60 95/61 97/62\nf 94/61 96/62 98/63\nf 99/63 97/62 95/61\nf 66/64 98/63 96/62\nf 97/62 99/63 100/64\nf 98/63 66/64 79/53\nf 80/53 100/64 99/63\nf 203/65 79/53 66/64\nf 100/64 80/53 150/65\nf 79/53 203/65 216/51\nf 149/51 150/65 80/53\nf 102/66 219/67 63/68\nf 104/68 135/67 103/66\nf 219/67 102/66 105/69\nf 106/69 103/66 135/67\nf 43/70 105/69 102/66\nf 103/66 106/69 44/70\nf 105/69 43/70 107/71\nf 108/71 44/70 106/69\nf 41/72 107/71 43/70\nf 44/70 108/71 42/72\nf 107/71 41/72 109/73\nf 110/73 42/72 108/71\nf 111/74 109/73 41/72\nf 42/72 110/73 112/74\nf 109/73 111/74 113/75\nf 114/75 112/74 110/73\nf 115/76 113/75 111/74\nf 112/74 114/75 116/76\nf 111/74 117/77 115/76\nf 116/76 118/77 112/74\nf 117/77 111/74 119/78\nf 120/78 112/74 118/77\nf 41/72 119/78 111/74\nf 112/74 120/78 42/72\nf 119/78 41/72 121/79\nf 122/79 42/72 120/78\nf 40/80 121/79 41/72\nf 42/72 122/79 123/80\nf 121/79 40/80 66/64\nf 100/64 123/80 122/79\nf 119/78 124/81 117/77\nf 118/77 125/81 120/78\nf 124/81 119/78 90/59\nf 91/59 120/78 125/81\nf 121/79 90/59 119/78\nf 120/78 91/59 122/79\nf 90/59 121/79 96/62\nf 97/62 122/79 91/59\nf 66/64 96/62 121/79\nf 122/79 97/62 100/64\nf 193/82 270/83 197/84\nf 157/84 269/83 161/82\nf 270/83 193/82 126/85\nf 127/85 161/82 269/83\nf 219/67 126/85 193/82\nf 161/82 127/85 135/67\nf 126/85 219/67 128/86\nf 129/86 135/67 127/85\nf 281/87 109/73 113/75\nf 114/75 110/73 130/87\nf 109/73 281/87 128/86\nf 129/86 130/87 110/73\nf 283/88 128/86 281/87\nf 130/87 129/86 282/88\nf 128/86 283/88 270/83\nf 269/83 282/88 129/86\nf 128/86 107/71 109/73\nf 110/73 108/71 129/86\nf 107/71 128/86 105/69\nf 106/69 129/86 108/71\nf 219/67 105/69 128/86\nf 129/86 106/69 135/67\nf 78/52 85/56 81/54\nf 82/54 86/56 78/52\nf 85/56 78/52 89/58\nf 89/58 78/52 86/56\nf 117/77 101/89 115/76\nf 116/76 101/89 118/77\nf 101/89 117/77 124/81\nf 125/81 118/77 101/89\nf 101/89 131/90 115/76\nf 116/76 132/90 101/89\nf 124/81 89/58 101/89\nf 101/89 89/58 125/81\nf 89/58 124/81 90/59\nf 91/59 125/81 89/58\nf 66/64 63/68 203/65\nf 150/65 104/68 100/64\nf 98/63 79/53 94/61\nf 95/61 80/53 99/63\nf 270/83 126/85 128/86\nf 129/86 127/85 269/83\nf 90/59 96/62 92/60\nf 93/60 97/62 91/59\nf 133/51 78/52 216/51\nf 149/51 78/52 133/51\nf 134/90 131/90 101/89\nf 101/89 132/90 134/90\nf 152/91 135/92 136/93 150/94\nf 161/95 135/92 152/91 159/96\nf 161/95 159/96 160/97 158/98\nf 156/99 158/98 160/97 140/100\nf 139/101 155/102 156/99 140/100\nf 145/103 154/104 155/102 139/101\nf 192/105 143/106 144/107 162/108\nf 166/109 177/110 162/108 144/107\nf 166/109 137/111 214/112 177/110\nf 166/109 144/107 168/113 167/114\nf 143/106 142/115 168/113 144/107\nf 141/116 142/115 143/106 192/105\nf 137/111 138/117 165/118 214/112\nf 137/111 167/114 146/119 138/117\nf 167/114 168/113 169/120 146/119\nf 168/113 142/115 170/121 169/120\nf 142/115 141/116 172/122 170/121\nf 163/123 148/124 172/122 141/116\nf 165/118 138/117 147/125 191/126\nf 178/127 176/128 148/124 164/129\nf 148/124 176/128 173/130 172/122\nf 170/121 172/122 173/130 171/131\nf 169/120 170/121 171/131 153/132\nf 169/120 153/132 151/133 146/119\nf 138/117 146/119 151/133 147/125\nf 178/127 179/134 174/135 176/128\nf 176/128 174/135 175/136 173/130\nf 171/131 173/130 175/136 159/96\nf 152/91 153/132 171/131 159/96\nf 150/94 151/133 153/132 152/91\nf 149/137 147/125 151/133 150/94\nf 139/101 174/135 204/138 145/103\nf 139/101 140/100 175/136 174/135\nf 175/136 140/100 160/97 159/96\nf 149/137 191/126 147/125\nf 166/109 167/114 137/111\nf 192/105 163/123 141/116\nf 163/123 164/129 148/124\nf 204/138 174/135 179/134\nf 154/104 274/139 155/102\nf 272/140 155/102 274/139\nf 155/102 272/140 156/99\nf 157/141 156/99 272/140\nf 156/99 157/141 158/98\nf 161/95 158/98 157/141\nf 197/141 196/98 193/95\nf 196/98 197/141 198/99\nf 273/140 198/99 197/141\nf 198/99 273/140 199/102\nf 274/139 199/102 273/140\nf 199/102 274/139 154/104\nf 179/134 182/135 204/138\nf 205/124 164/129 163/123\nf 211/116 163/123 192/105\nf 217/111 189/114 190/109\nf 206/125 191/126 216/137\nf 216/142 191/126 149/137\nf 194/97 212/100 181/136 195/96\nf 181/136 212/100 213/101 182/135\nf 204/138 182/135 213/101 145/103\nf 202/133 206/125 216/137 203/94\nf 200/132 202/133 203/94 201/91\nf 185/131 200/132 201/91 195/96\nf 181/136 183/130 185/131 195/96\nf 181/136 182/135 180/128 183/130\nf 178/127 180/128 182/135 179/134\nf 202/133 207/119 215/117 206/125\nf 202/133 200/132 187/120 207/119\nf 185/131 186/121 187/120 200/132\nf 183/130 184/122 186/121 185/131\nf 183/130 180/128 205/124 184/122\nf 178/127 164/129 205/124 180/128\nf 206/125 215/117 165/118 191/126\nf 184/122 205/124 163/123 211/116\nf 184/122 211/116 210/115 186/121\nf 186/121 210/115 188/113 187/120\nf 187/120 188/113 189/114 207/119\nf 207/119 189/114 217/111 215/117\nf 165/118 215/117 217/111 214/112\nf 209/106 210/115 211/116 192/105\nf 188/113 210/115 209/106 208/107\nf 188/113 208/107 190/109 189/114\nf 214/112 217/111 190/109 177/110\nf 162/108 177/110 190/109 208/107\nf 208/107 209/106 192/105 162/108\nf 199/102 154/104 145/103 213/101\nf 198/99 199/102 213/101 212/100\nf 194/97 196/98 198/99 212/100\nf 194/97 195/96 193/95 196/98\nf 193/95 195/96 201/91 219/92\nf 201/91 203/94 218/93 219/92\nf 234/143 230/144 221/145\nf 222/145 231/144 234/143\nf 235/146 236/147 223/148\nf 223/148 237/147 235/146\nf 228/149 220/150 248/151\nf 249/151 220/150 229/149\nf 248/151 220/152 252/150\nf 252/150 220/152 249/151\nf 232/153 228/154 248/155\nf 249/155 229/154 233/153\nf 244/156 224/157 223/148\nf 223/148 224/157 245/156\nf 224/157 244/156 253/158\nf 253/158 245/156 224/157\nf 238/159 250/160 234/143\nf 234/143 250/160 239/159\nf 250/160 238/159 251/161\nf 251/161 239/159 250/160\nf 236/147 244/156 223/148\nf 223/148 245/156 237/147\nf 244/156 236/147 240/162\nf 241/162 237/147 245/156\nf 230/144 242/163 221/145\nf 222/145 243/163 231/144\nf 238/159 221/145 242/163\nf 243/163 222/145 239/159\nf 221/145 238/159 234/143\nf 234/143 239/159 222/145\nf 234/143 225/164 230/144\nf 231/144 225/164 234/143\nf 284/165 230/144 225/164\nf 225/164 231/144 284/165\nf 230/144 284/165 226/166\nf 227/166 284/165 231/144\nf 226/166 228/154 230/144\nf 231/144 229/154 227/166\nf 232/153 230/144 228/154\nf 229/154 231/144 233/153\nf 230/144 232/153 242/163\nf 243/163 233/153 231/144\nf 248/155 242/163 232/153\nf 233/153 243/163 249/155\nf 242/163 248/155 246/167\nf 247/167 249/155 243/163\nf 235/146 251/161 236/147\nf 237/147 251/161 235/146\nf 238/159 236/147 251/161\nf 251/161 237/147 239/159\nf 236/147 238/159 240/162\nf 241/162 239/159 237/147\nf 242/163 240/162 238/159\nf 239/159 241/162 243/163\nf 240/162 242/163 244/156\nf 245/156 243/163 241/162\nf 246/167 244/156 242/163\nf 243/163 245/156 247/167\nf 244/156 246/167 253/158\nf 253/158 247/167 245/156\nf 248/155 253/158 246/167\nf 247/167 253/158 249/155\nf 253/158 248/155 252/168\nf 252/168 249/155 253/158\nf 254/169 256/170 74/171\nf 258/171 257/170 255/169\nf 256/170 254/169 259/172\nf 260/172 255/169 257/170\nf 259/172 254/169 261/173\nf 262/173 255/169 260/172\nf 259/172 261/173 263/174\nf 264/174 262/173 260/172\nf 265/175 263/174 261/173\nf 262/173 264/174 266/175\nf 263/174 265/175 267/176\nf 268/176 266/175 264/174\nf 269/177 267/176 265/175\nf 266/175 268/176 270/177\nf 267/176 269/177 157/178\nf 197/178 270/177 268/176\nf 271/179 272/180 274/181\nf 274/181 273/180 271/179\nf 272/180 271/179 263/174\nf 264/174 271/179 273/180\nf 275/182 263/174 271/179\nf 271/179 264/174 276/182\nf 263/174 275/182 259/172\nf 260/172 276/182 264/174\nf 271/179 259/172 275/182\nf 276/182 260/172 271/179\nf 259/172 271/179 277/183\nf 277/183 271/179 260/172\nf 76/184 254/169 74/171\nf 258/171 255/169 278/184\nf 254/169 76/184 279/185\nf 280/185 278/184 255/169\nf 130/186 279/185 76/184\nf 278/184 280/185 281/186\nf 279/185 130/186 282/187\nf 283/187 281/186 280/185\nf 284/188 259/172 277/183\nf 277/183 260/172 284/188\nf 259/172 284/188 256/170\nf 257/170 284/188 260/172\nf 254/169 265/175 261/173\nf 262/173 266/175 255/169\nf 265/175 254/169 279/185\nf 280/185 255/169 266/175\nf 267/176 272/180 263/174\nf 264/174 273/180 268/176\nf 272/180 267/176 157/178\nf 197/178 268/176 273/180\nf 265/175 282/187 269/177\nf 270/177 283/187 266/175\nf 282/187 265/175 279/185\nf 280/185 266/175 283/187\nf 319/189 305/190 325/191\nf 326/191 306/190 320/189\nf 299/192 327/193 303/194\nf 304/194 328/193 300/192\nf 295/195 303/194 327/193\nf 328/193 304/194 296/195\nf 303/194 295/195 325/191\nf 326/191 296/195 304/194\nf 315/196 323/197 297/198\nf 298/198 324/197 316/196\nf 297/198 299/192 315/196\nf 316/196 300/192 298/198\nf 299/192 297/198 327/193\nf 328/193 298/198 300/192\nf 315/196 299/192 311/199\nf 312/199 300/192 316/196\nf 301/200 305/190 319/189 321/201\nf 320/189 306/190 302/200 322/201\nf 313/202 317/203 323/197 315/196\nf 324/197 318/203 314/202 316/196\nf 317/203 321/204 319/205 323/197\nf 320/205 322/204 318/203 324/197\nf 307/206 309/207 313/202 311/199\nf 314/202 310/207 308/206 312/199\nf 301/200 309/207 307/206 305/190\nf 308/206 310/207 302/200 306/190\nf 311/199 313/202 315/196\nf 316/196 314/202 312/199\nf 546/208 547/209 287/210 285/211\nf 288/210 635/209 634/208 286/211\nf 287/210 547/209 611/212 293/213\nf 637/212 635/209 288/210 294/213\nf 611/214 608/215 291/216 293/217\nf 292/216 645/215 637/214 294/217\nf 601/218 289/219 291/216 608/215\nf 292/216 290/219 689/218 645/215\nf 546/208 285/211 289/219 601/218\nf 290/219 286/211 634/208 689/218\nf 285/211 287/210 317/203 313/202\nf 318/203 288/210 286/211 314/202\nf 285/211 313/202 309/207 289/219\nf 310/207 314/202 286/211 290/219\nf 289/219 309/207 301/200 291/216\nf 302/200 310/207 290/219 292/216\nf 291/216 301/200 321/201 293/217\nf 322/201 302/200 292/216 294/217\nf 317/203 287/210 293/213 321/204\nf 294/213 288/210 318/203 322/204\nf 299/192 303/194 307/206 311/199\nf 308/206 304/194 300/192 312/199\nf 325/191 305/190 307/206 303/194\nf 308/206 306/190 326/191 304/194\nf 329/220 327/221 297/222\nf 298/222 328/221 330/220\nf 331/223 333/224 295/225\nf 296/225 334/224 332/223\nf 347/226 325/227 357/228\nf 358/228 326/227 348/226\nf 325/227 347/226 319/229\nf 320/229 348/226 326/227\nf 323/230 359/231 297/222\nf 298/222 360/231 324/230\nf 359/231 323/230 319/229\nf 320/229 324/230 360/231\nf 319/229 351/232 359/231\nf 360/231 352/232 320/229\nf 351/232 319/229 347/226\nf 348/226 320/229 352/232\nf 327/221 331/223 295/225\nf 296/225 332/223 328/221\nf 331/223 327/221 329/220\nf 330/220 328/221 332/223\nf 357/228 295/233 333/234\nf 334/234 296/233 358/228\nf 295/233 357/228 325/227\nf 326/227 358/228 296/233\nf 359/231 329/220 297/222\nf 298/222 330/220 360/231\nf 329/220 359/231 370/235\nf 371/235 360/231 330/220\nf 372/236 370/235 359/231\nf 360/231 371/235 373/236\nf 370/235 372/236 365/237\nf 366/237 373/236 371/235\nf 365/237 329/220 370/235\nf 371/235 330/220 366/237\nf 382/238 384/239 386/240\nf 387/240 385/239 383/238\nf 417/241 401/242 415/243\nf 416/243 402/242 418/241\nf 411/244 423/245 413/246\nf 414/246 424/245 412/244\nf 423/247 401/242 417/241\nf 418/241 402/242 424/247\nf 372/236 359/231 351/232\nf 352/232 360/231 373/236\nf 441/248 419/249 413/246\nf 414/246 420/249 442/248\nf 419/249 441/248 421/250\nf 422/250 442/248 420/249\nf 415/243 433/251 425/252 417/241\nf 426/252 434/251 416/243 418/241\nf 415/243 421/250 437/253 433/251\nf 438/253 422/250 416/243 434/251\nf 437/253 421/250 441/248 439/254\nf 442/248 422/250 438/253 440/254\nf 439/254 441/248 413/246 443/255\nf 414/246 442/248 440/254 444/255\nf 413/246 423/245 445/256 443/255\nf 446/256 424/245 414/246 444/255\nf 417/241 425/252 445/257 423/247\nf 446/257 426/252 418/241 424/247\nf 409/258 411/244 413/246 419/249\nf 414/246 412/244 410/258 420/249\nf 409/258 419/249 421/250 399/259\nf 422/250 420/249 410/258 400/259\nf 380/260 399/259 421/250 415/243\nf 422/250 400/259 381/260 416/243\nf 376/261 380/260 415/243 401/242\nf 416/243 381/260 377/261 402/242\nf 406/262 408/263 411/244 409/258\nf 412/244 408/263 407/262 410/258\nf 406/262 409/258 399/259 397/264\nf 400/259 410/258 407/262 398/264\nf 378/265 397/264 399/259 380/260\nf 400/259 398/264 379/265 381/260\nf 378/265 380/260 376/261 382/238\nf 377/261 381/260 379/265 383/238\nf 376/261 401/242 384/239 382/238\nf 385/239 402/242 377/261 383/238\nf 384/239 401/242 423/247 388/266\nf 424/247 402/242 385/239 389/266\nf 403/267 405/268 408/263 406/262\nf 408/263 405/268 404/267 407/262\nf 393/269 403/267 406/262 397/264\nf 407/262 404/267 394/269 398/264\nf 393/269 397/264 378/265 395/270\nf 379/265 398/264 394/269 396/270\nf 378/265 382/238 391/271 395/270\nf 392/271 383/238 379/265 396/270\nf 382/238 386/240 361/272 391/271\nf 362/272 387/240 383/238 392/271\nf 384/239 388/266 390/273 386/240\nf 390/273 389/266 385/239 387/240\nf 361/272 386/240 390/273 367/274\nf 390/273 387/240 362/272 367/274\nf 361/272 367/274 368/275 363/276\nf 368/275 367/274 362/272 364/276\nf 361/272 363/276 365/237 391/271\nf 366/237 364/276 362/272 392/271\nf 365/237 372/236 395/270 391/271\nf 396/270 373/236 366/237 392/271\nf 351/232 393/269 395/270 372/236\nf 396/270 394/269 352/232 373/236\nf 349/277 403/267 393/269 351/232\nf 394/269 404/267 350/277 352/232\nf 349/277 374/278 405/268 403/267\nf 405/268 374/278 350/277 404/267\nf 329/220 365/237 363/276 340/279\nf 364/276 366/237 330/220 341/279\nf 329/220 340/279 337/280 331/223\nf 338/280 341/279 330/220 332/223\nf 331/223 337/280 335/281 333/224\nf 336/281 338/280 332/223 334/224\nf 342/282 349/277 351/232 347/226\nf 352/232 350/277 343/282 348/226\nf 342/282 347/226 357/228 344/283\nf 358/228 348/226 343/282 345/283\nf 333/234 354/284 344/283 357/228\nf 345/283 355/284 334/234 358/228\nf 333/234 335/285 354/284\nf 355/284 336/285 334/234\nf 363/276 368/275 369/286 340/279\nf 369/286 368/275 364/276 341/279\nf 337/280 340/279 369/286 339/287\nf 369/286 341/279 338/280 339/287\nf 335/281 337/280 339/287 356/288\nf 339/287 338/280 336/281 356/288\nf 349/277 342/282 375/289 374/278\nf 375/289 343/282 350/277 374/278\nf 342/282 344/283 346/290 375/289\nf 346/290 345/283 343/282 375/289\nf 344/283 354/284 353/291 346/290\nf 353/291 355/284 345/283 346/290\nf 335/285 356/292 353/291 354/284\nf 353/291 356/292 336/285 355/284\nf 411/244 449/293 423/245\nf 424/245 450/293 412/244\nf 449/294 388/266 423/247\nf 424/247 389/266 450/294\nf 427/295 429/296 445/257 425/252\nf 446/257 430/296 428/295 426/252\nf 425/252 433/251 431/297 427/295\nf 432/297 434/251 426/252 428/295\nf 431/297 433/251 437/253 435/298\nf 438/253 434/251 432/297 436/298\nf 429/299 447/300 443/255 445/256\nf 444/255 448/300 430/299 446/256\nf 439/254 443/255 447/300 451/301\nf 448/300 444/255 440/254 452/301\nf 435/298 437/253 439/254 451/301\nf 440/254 438/253 436/298 452/301\nf 388/266 453/302 390/273\nf 390/273 453/302 389/266\nf 388/266 449/294 454/303 453/302\nf 454/303 450/294 389/266 453/302\nf 408/263 455/304 411/244\nf 412/244 455/304 408/263\nf 411/244 455/304 454/305 449/293\nf 454/305 455/304 412/244 450/293\nf 456/306 457/307 458/308\nf 457/307 456/306 459/309\nf 459/309 456/306 460/310\nf 459/309 460/310 461/311\nf 462/312 461/311 460/310\nf 461/311 462/312 463/313\nf 464/314 463/313 462/312\nf 463/313 464/314 465/312\nf 466/310 465/312 464/314\nf 465/312 466/310 467/311\nf 468/309 467/311 466/310\nf 467/311 468/309 469/315\nf 470/307 469/315 468/309\nf 469/315 470/307 471/316\nf 472/317 471/316 470/307\nf 471/316 472/317 457/307\nf 467/311 463/313 465/312\nf 463/313 467/311 473/318\nf 474/319 473/318 467/311\nf 473/318 474/319 461/311\nf 475/315 461/311 474/319\nf 461/311 475/315 459/309\nf 457/307 459/309 475/315\nf 476/320 477/321 478/322\nf 477/321 476/320 479/323\nf 480/321 479/323 476/320\nf 479/323 480/321 481/324\nf 470/307 482/308 472/317\nf 482/308 470/307 483/306\nf 468/309 483/306 470/307\nf 483/306 468/309 466/310\nf 464/314 484/325 466/310\nf 484/325 464/314 460/310\nf 462/312 460/310 464/314\nf 460/310 456/306 485/326\nf 460/310 485/326 484/325\nf 486/327 484/325 485/326\nf 466/310 487/326 483/306\nf 487/326 466/310 486/327\nf 484/325 486/327 466/310\nf 481/328 472/329 479/330\nf 472/329 481/328 458/331\nf 472/332 488/333 479/334\nf 488/333 472/332 482/335\nf 477/328 487/329 478/330\nf 487/329 477/328 483/331\nf 485/332 480/333 489/334\nf 485/332 456/335 480/333\nf 480/328 458/329 481/330\nf 480/328 456/331 458/329\nf 477/333 482/332 483/335\nf 482/332 477/333 488/334\nf 475/315 471/316 457/307\nf 471/316 475/315 474/319\nf 474/319 469/315 471/316\nf 469/315 474/319 467/311\nf 489/336 486/337 485/338\nf 486/337 489/336 476/339\nf 476/336 487/337 486/338\nf 487/337 476/336 478/339\nf 479/323 488/324 477/321\nf 463/313 473/318 461/311\nf 472/340 458/308 457/307\nf 489/322 480/321 476/320\nf 490/341 491/342 492/343\nf 491/342 490/341 493/344\nf 493/344 490/341 494/345\nf 493/344 494/345 495/346\nf 496/347 495/346 494/345\nf 495/346 496/347 497/348\nf 498/346 497/348 496/347\nf 497/348 498/346 499/349\nf 500/344 499/349 498/346\nf 499/349 500/344 501/342\nf 502/341 501/342 500/344\nf 501/342 502/341 503/343\nf 504/350 503/343 502/341\nf 502/341 505/351 504/350\nf 505/351 502/341 506/352\nf 507/353 506/352 502/341\nf 506/352 507/353 508/354\nf 509/345 508/354 507/353\nf 508/354 509/345 510/355\nf 496/347 510/355 509/345\nf 510/355 496/347 494/345\nf 506/352 490/341 505/351\nf 490/341 506/352 511/353\nf 508/354 511/353 506/352\nf 511/353 508/354 494/345\nf 510/355 494/345 508/354\nf 512/356 497/348 499/349\nf 497/348 512/356 513/349\nf 514/357 513/349 512/356\nf 513/349 514/357 491/342\nf 513/349 495/346 497/348\nf 495/346 513/349 493/344\nf 491/342 493/344 513/349\nf 515/358 516/359 517/360\nf 516/359 515/358 518/361\nf 519/362 516/363 520/364\nf 516/363 519/362 501/365\nf 516/366 503/367 517/368\nf 503/367 516/366 501/369\nf 499/349 519/357 512/370\nf 519/357 499/349 501/342\nf 514/367 521/366 491/369\nf 521/366 514/367 522/368\nf 512/362 520/363 518/364\nf 520/363 512/362 519/365\nf 522/366 512/367 518/368\nf 512/367 522/366 514/369\nf 515/371 503/372 504/373\nf 503/372 515/371 517/374\nf 523/371 504/372 492/373\nf 504/372 523/371 515/374\nf 505/351 490/341 492/343\nf 505/351 492/343 504/350\nf 492/362 521/363 523/364\nf 521/363 492/362 491/365\nf 521/359 515/358 523/360\nf 515/358 521/359 518/361\nf 502/341 509/345 507/353\nf 509/345 502/341 500/344\nf 498/346 509/345 500/344\nf 509/345 498/346 496/347\nf 518/361 520/375 516/359\nf 521/359 522/375 518/361\nf 494/345 490/341 511/353\nf 524/376 525/377 526/378\nf 525/377 524/376 527/379\nf 527/379 524/376 528/380\nf 527/379 528/380 529/381\nf 530/382 529/381 528/380\nf 529/381 530/382 531/383\nf 532/384 531/383 530/382\nf 531/383 532/384 533/385\nf 534/386 533/385 532/384\nf 533/385 534/386 535/387\nf 536/388 535/387 534/386\nf 535/387 536/388 537/389\nf 538/390 537/389 536/388\nf 539/391 524/392 526/393\nf 524/392 539/391 540/394\nf 541/395 540/394 539/391\nf 540/394 541/395 542/396\nf 543/397 542/396 541/395\nf 542/396 543/397 544/398\nf 545/399 544/398 543/397\nf 544/398 545/399 546/400\nf 547/401 546/400 545/399\nf 548/402 549/403 550/404\nf 549/403 548/402 551/405\nf 541/395 551/405 548/402\nf 551/405 541/395 552/406\nf 539/391 552/406 541/395\nf 552/406 539/391 553/407\nf 526/393 553/407 539/391\nf 554/408 555/409 556/410\nf 555/409 554/408 557/411\nf 558/412 557/411 554/408\nf 557/411 558/412 559/413\nf 560/414 559/413 558/412\nf 559/413 560/414 561/415\nf 562/416 553/407 526/393\nf 553/407 562/416 563/417\nf 564/418 563/417 562/416\nf 563/417 564/418 565/419\nf 566/420 565/419 564/418\nf 565/419 566/420 567/421\nf 568/422 569/423 570/424\nf 569/423 568/422 571/425\nf 529/381 571/425 568/422\nf 571/425 529/381 572/426\nf 531/383 572/426 529/381\nf 572/426 531/383 533/385\nf 573/427 574/428 575/428\nf 574/428 573/427 576/429\nf 577/430 576/429 573/427\nf 576/429 577/430 578/431\nf 579/432 578/431 577/430\nf 578/431 579/432 580/433\nf 581/434 582/435 583/436\nf 582/435 581/434 584/437\nf 585/438 584/437 581/434\nf 584/437 585/438 586/439\nf 530/440 586/439 585/438\nf 586/439 530/440 587/441\nf 588/442 549/403 570/443\nf 549/403 588/442 589/444\nf 590/445 589/444 588/442\nf 589/444 590/445 591/446\nf 592/447 591/446 590/445\nf 591/446 592/447 593/448\nf 585/438 532/449 530/440\nf 532/449 585/438 594/450\nf 595/451 594/450 585/438\nf 594/450 595/451 596/452\nf 572/453 596/452 595/451\nf 596/452 572/453 597/454\nf 542/396 598/455 599/456\nf 598/455 542/396 600/457\nf 544/398 600/457 542/396\nf 600/457 544/398 601/458\nf 546/400 601/458 544/398\nf 527/459 602/460 525/461\nf 602/460 527/459 552/406\nf 575/428 552/406 527/459\nf 552/406 575/428 574/428\nf 580/462 575/463 603/464\nf 575/463 580/462 573/465\nf 579/466 573/465 580/462\nf 573/465 579/466 577/467\nf 568/468 604/469 603/470\nf 604/469 568/468 551/405\nf 570/443 551/405 568/468\nf 551/405 570/443 549/403\nf 605/471 548/402 555/409\nf 548/402 605/471 582/435\nf 606/472 582/435 605/471\nf 582/435 606/472 583/436\nf 593/473 570/424 569/423\nf 570/424 593/473 588/474\nf 592/475 588/474 593/473\nf 588/474 592/475 590/476\nf 562/477 566/478 564/479\nf 566/478 562/477 567/480\nf 526/378 567/480 562/477\nf 567/480 526/378 525/377\nf 571/481 550/404 569/482\nf 550/404 571/481 548/402\nf 556/410 548/402 571/481\nf 548/402 556/410 555/409\nf 565/419 553/407 563/417\nf 553/407 565/419 602/460\nf 525/461 602/460 565/419\nf 578/431 574/428 576/429\nf 574/428 578/431 604/469\nf 603/470 604/469 578/431\nf 591/446 549/403 589/444\nf 549/403 591/446 550/404\nf 569/482 550/404 591/446\nf 554/483 560/484 558/485\nf 560/484 554/483 561/486\nf 606/487 561/486 554/483\nf 586/439 541/395 584/437\nf 541/395 586/439 543/397\nf 545/399 543/397 586/439\nf 600/457 607/488 598/455\nf 607/488 600/457 608/489\nf 601/458 608/489 600/457\nf 559/413 555/409 557/411\nf 555/409 559/413 605/471\nf 605/471 561/415 606/472\nf 561/415 605/471 559/413\nf 609/490 535/387 537/389\nf 535/387 609/490 597/491\nf 597/491 533/385 535/387\nf 533/385 597/491 572/426\nf 599/456 524/392 540/394\nf 599/456 540/394 542/396\nf 571/425 610/492 583/493\nf 610/492 571/425 572/426\nf 574/428 551/405 552/406\nf 551/405 574/428 604/469\nf 528/380 524/376 599/494\nf 528/380 599/494 598/495\nf 598/495 530/382 528/380\nf 530/382 598/495 607/496\nf 568/422 527/379 529/381\nf 527/379 568/422 603/464\nf 581/434 595/451 585/438\nf 595/451 581/434 610/497\nf 609/498 596/452 597/454\nf 596/452 609/498 537/499\nf 582/435 541/395 548/402\nf 541/395 582/435 584/437\nf 571/425 606/487 556/500\nf 606/487 571/425 583/493\nf 594/501 534/386 532/384\nf 534/386 594/501 538/390\nf 587/441 545/399 586/439\nf 545/399 587/441 547/401\nf 607/496 587/502 530/382\nf 587/502 607/496 611/503\nf 594/450 537/499 538/504\nf 537/499 594/450 596/452\nf 591/446 593/448 569/482\nf 554/483 556/500 606/487\nf 575/463 527/379 603/464\nf 565/419 567/421 525/461\nf 578/431 580/433 603/470\nf 608/489 611/505 607/488\nf 581/434 583/436 610/497\nf 536/388 534/386 538/390\nf 611/503 547/506 587/502\nf 553/407 602/460 552/406\nf 595/451 610/497 572/453\nf 612/507 613/508 614/509\nf 613/508 612/507 615/510\nf 615/510 612/507 616/511\nf 615/510 616/511 617/512\nf 618/513 617/512 616/511\nf 617/512 618/513 619/514\nf 620/515 619/514 618/513\nf 619/514 620/515 621/516\nf 622/517 621/516 620/515\nf 621/516 622/517 623/518\nf 624/519 625/520 626/521\nf 625/520 624/519 627/522\nf 628/523 627/522 624/519\nf 627/522 628/523 629/524\nf 630/525 629/524 628/523\nf 629/524 630/525 631/526\nf 632/527 631/526 630/525\nf 631/526 632/527 633/528\nf 634/529 633/528 632/527\nf 633/528 634/529 635/530\nf 636/531 635/532 637/533\nf 635/532 636/531 633/534\nf 623/535 633/534 636/531\nf 633/534 623/535 631/536\nf 638/537 631/536 623/535\nf 631/536 638/537 639/538\nf 640/539 639/538 638/537\nf 639/538 640/539 641/540\nf 619/514 628/523 624/519\nf 628/523 619/514 630/525\nf 642/541 630/525 619/514\nf 630/525 642/541 643/542\nf 644/543 643/542 642/541\nf 643/542 644/543 645/544\nf 637/545 645/544 644/543\nf 646/546 647/547 648/548\nf 647/547 646/546 649/549\nf 650/550 649/549 646/546\nf 649/549 650/550 651/551\nf 652/552 651/551 650/550\nf 651/551 652/552 653/553\nf 639/538 653/553 652/552\nf 654/554 655/555 641/556\nf 655/555 654/554 656/557\nf 657/558 656/557 654/554\nf 656/557 657/558 658/559\nf 659/560 658/559 657/558\nf 658/559 659/560 660/561\nf 657/558 661/562 659/560\nf 661/562 657/558 662/563\nf 663/564 662/563 657/558\nf 662/563 663/564 664/565\nf 665/566 664/565 663/564\nf 664/565 665/566 666/567\nf 667/568 668/569 669/570\nf 668/569 667/568 670/571\nf 671/572 670/571 667/568\nf 670/571 671/572 654/554\nf 617/512 654/554 671/572\nf 654/554 617/512 619/514\nf 672/573 664/565 666/567\nf 664/565 672/573 673/574\nf 674/575 673/574 672/573\nf 673/574 674/575 662/563\nf 661/562 662/563 674/575\nf 647/547 675/576 648/548\nf 675/576 647/547 676/577\nf 651/551 676/577 647/547\nf 676/577 651/551 677/578\nf 653/553 677/578 651/551\nf 663/564 626/521 665/566\nf 626/521 663/564 624/519\nf 657/558 624/519 663/564\nf 624/519 657/558 619/514\nf 654/554 619/514 657/558\nf 646/579 678/580 629/524\nf 678/580 646/579 679/581\nf 648/582 679/581 646/579\nf 679/581 648/582 675/583\nf 621/516 642/541 619/514\nf 642/541 621/516 644/543\nf 636/584 644/543 621/516\nf 644/543 636/584 637/545\nf 680/585 677/586 653/587\nf 677/586 680/585 678/580\nf 627/522 678/580 680/585\nf 678/580 627/522 629/524\nf 659/588 680/589 653/553\nf 680/589 659/588 625/590\nf 626/591 625/590 659/588\nf 638/537 681/592 640/539\nf 681/592 638/537 622/593\nf 623/535 622/593 638/537\nf 656/557 682/594 655/555\nf 682/594 656/557 683/595\nf 684/596 683/595 656/557\nf 685/597 616/511 686/598\nf 616/511 685/597 618/513\nf 681/599 618/513 685/597\nf 687/572 671/572 688/600\nf 671/572 687/572 617/512\nf 640/601 617/512 687/572\nf 643/542 632/527 630/525\nf 632/527 643/542 689/602\nf 645/544 689/602 643/542\nf 690/603 684/596 691/604\nf 684/596 690/603 692/605\nf 614/606 685/607 686/608\nf 685/607 614/606 613/609\nf 613/609 681/592 685/607\nf 681/592 613/609 640/539\nf 693/610 612/507 614/509\nf 612/507 693/610 694/611\nf 692/605 683/595 684/596\nf 683/595 692/605 682/594\nf 620/515 681/599 622/517\nf 681/599 620/515 618/513\nf 661/612 626/591 659/588\nf 626/591 661/612 674/613\nf 691/614 655/615 682/616\nf 655/615 691/614 660/617\nf 660/617 641/540 655/615\nf 641/540 660/617 659/588\nf 615/510 640/601 613/508\nf 640/601 615/510 617/512\nf 658/559 684/596 656/557\nf 684/596 658/559 660/561\nf 650/618 629/524 631/526\nf 629/524 650/618 646/579\nf 616/511 612/507 695/619\nf 616/511 695/619 686/598\nf 666/620 674/613 672/621\nf 674/613 666/620 665/622\nf 696/623 667/568 669/570\nf 667/568 696/623 697/624\nf 697/624 698/625 667/568\nf 698/625 697/624 688/600\nf 668/626 640/539 687/627\nf 640/539 668/626 641/540\nf 669/628 687/627 688/629\nf 687/627 669/628 668/626\nf 696/630 688/629 697/631\nf 688/629 696/630 669/628\nf 695/619 612/507 694/611\nf 695/619 694/611 686/598\nf 659/588 639/538 641/540\nf 639/538 659/588 653/553\nf 698/625 671/572 667/568\nf 671/572 698/625 688/600\nf 670/571 641/556 668/569\nf 641/556 670/571 654/554\nf 699/632 679/581 675/583\nf 679/581 699/632 677/586\nf 693/633 686/608 694/634\nf 686/608 693/633 614/606\nf 676/577 699/635 675/576\nf 699/635 676/577 677/578\nf 682/616 690/636 691/614\nf 690/636 682/616 692/637\nf 631/536 652/552 650/550\nf 652/552 631/536 639/538\nf 660/561 691/604 684/596\nf 674/613 665/622 626/591\nf 678/580 679/581 677/586\nf 664/565 673/574 662/563\nf 680/585 625/520 627/522\nf 689/602 634/529 632/527\nf 621/516 623/518 636/584\nf 647/547 649/549 651/551\n"
  },
  {
    "path": "obj2js/parse.js",
    "content": "// parseOBJ\n// ========\n//\n// This function is a minimal OBJ file loader and parser for WebGL.\n// A more complete OBJ/MTL parser is availale on https://github.com/xem/webgl-guide\n// It takes the content of an OBJ file path as parameter and returns a hierarchy of objects and groups:\n// return = [obj, obj, ..., meta]\n// obj = [group, group, ...]\n// group = {originalv, v, vt, indexv, indexvt, indices, s}\n// meta = {minX, maxX, minY, maxY, minZ, maxZ, size, v, vn, vt}\n\n// How to use it with WebGL:\n// - Unindexed buffers: v and vt can be rendered using drawArrays. (v can be replaced with originalv to disable centering)\n// - indexed buffers: indexv, indexvt and indices can be rendered using drawElements (indexv can be replaced with indexoriginalv)\n// - vt and indexvt can be empty if the model isn't textured. \n\nparseOBJ = async (file) => {\n  \n  // Temp vars\n  var\n  v = [],         // all the vertices\n  vt = [],        // all the texture coordinates\n  //vn = [],        // all the normals\n  vi = [],        // indexed vertices for current group\n  vti = [],       // indexed texture coordinates for current group\n  //vni = [],       // normals indices for current group\n  //mtl = [],       // materials \n  indices = [],   // indices (vertices and texture coordinates combined)\n  indexDict = [], // dictionnary\n  indexv = [],    // vertices index for current group\n  indexvt = [],   // texture coordinates index for current group\n  //currentvn = [], // current group normals\n  obj = [],       // output\n  currentobj = {groups: []},\n  currentgroup = {},\n  //currentmtl = {},\n  currents = 1,\n  currentusemtl,\n  //objfolder,\n  //mtlfolder,\n  //objlines,\n  //mtllines,\n  //objline,\n  //mtlline,\n  objcommand,\n  //mtlcommand,\n  objparam,\n  //mtlparam,\n  objlist,\n  //mtllist,\n  //normal,\n  //file,\n  tmp, i, j,\n  A, B, C,\n  AB, BC,\n  minX = 9e9, minY = 9e9, minZ = 9e9,\n  maxX = -9e9, maxY = -9e9, maxZ = -9e9,\n  \n  // This function is called when a group is complete\n  // It saves the data buffers (v, originalv, vt / indexv, indexoriginalv, indexvt, indices) and smoothing (s) for the current group\n  // The group is then added to the current object and a new one is created\n  // todo: save ucurrentusemtl too\n  endGroup = x => {\n    \n    //console.log(\"save group\");\n    //console.log(v, vt, vi);\n    \n    currentgroup.originalv = [];\n    currentgroup.v = [];\n    currentgroup.vt = [];\n    //currentgroup.vn = [];\n    currentgroup.indices = [];\n    indexDict = [];\n    currentgroup.indexv = [];\n    currentgroup.indexoriginalv = [];\n    currentgroup.indexvt = [];\n    //currentgroup.rgb = [];\n    //currentvn = [];\n    currentDict = [];\n    lastIndex = 0;\n\n    // For every vertex triplet\n    for(i = 0; i < vi.length; i += 3){\n      \n      // Retrieve vertices\n      A = [v[vi[i+0] * 3], v[vi[i+0] * 3 + 1], v[vi[i+0] * 3 + 2]];\n      B = [v[vi[i+1] * 3], v[vi[i+1] * 3 + 1], v[vi[i+1] * 3 + 2]];\n      C = [v[vi[i+2] * 3], v[vi[i+2] * 3 + 1], v[vi[i+2] * 3 + 2]];\n      \n      // If the model is textured, create a single index for both vertices and texture coordinates\n      if(vti.length){\n        \n        // Vertex 1\n        currentDict = vi[i+0] + \"/\" + vti[i+0];\n\n        // Add current dict entry into dictionary if not already present\n        // And push corresponding items in indexv and indexvt\n        if((t = indexDict.indexOf(currentDict)) == -1){\n          indexDict.push(currentDict);\n          currentgroup.indexoriginalv.push(...A);\n          currentgroup.indexv.push(A[0]-minX, A[1]-minY, A[2]-minZ);\n          currentgroup.indexvt.push(vt[vti[i+0] * 2], vt[vti[i+0] * 2 + 1]);\n        }\n        \n        // Add an entry\n        t = indexDict.indexOf(currentDict);\n        currentgroup.indices.push(t);\n        \n        // Vertex 2\n        currentDict = vi[i+1] + \"/\" + vti[i+1];\n\n        // Add current dict entry into dictionary if not already present\n        // And push corresponding items in indexv and indexvt\n        if((t = indexDict.indexOf(currentDict)) == -1){\n          indexDict.push(currentDict);\n          currentgroup.indexoriginalv.push(...B);\n          currentgroup.indexv.push(B[0]-minX, B[1]-minY, B[2]-minZ);\n          currentgroup.indexvt.push(vt[vti[i+1] * 2], vt[vti[i+1] * 2 + 1]);\n        }\n        \n        // Add an entry\n        t = indexDict.indexOf(currentDict);\n        currentgroup.indices.push(t);\n        \n        // Vertex 3\n        currentDict = vi[i+2] + \"/\" + vti[i+2];\n\n        // Add current dict entry into dictionary if not already present\n        // And push corresponding items in indexv and indexvt\n        if((t = indexDict.indexOf(currentDict)) == -1){\n          indexDict.push(currentDict);\n          currentgroup.indexoriginalv.push(...C);\n          currentgroup.indexv.push(C[0]-minX, C[1]-minY, C[2]-minZ);\n          currentgroup.indexvt.push(vt[vti[i+2] * 2], vt[vti[i+2] * 2 + 1]);\n        }\n        \n        // Add an entry\n        t = indexDict.indexOf(currentDict);\n        currentgroup.indices.push(t);\n      }\n      \n      // Fill vertices buffer\n      \n      // Original\n      currentgroup.originalv.push(...A);\n      currentgroup.originalv.push(...B);\n      currentgroup.originalv.push(...C);\n      \n      // Centered\n      currentgroup.v.push(A[0] - minX, A[1] - minY, A[2] - minZ);\n      currentgroup.v.push(B[0] - minX, B[1] - minY, B[2] - minZ);\n      currentgroup.v.push(C[0] - minX, C[1] - minY, C[2] - minZ);\n      \n      // Fill textures coordinates buffer (if applicable)\n      //console.log(1, vt);\n      if(vti.length){\n        currentgroup.vt.push(vt[vti[i+0] * 2], vt[vti[i+0] * 2 + 1]);\n        currentgroup.vt.push(vt[vti[i+1] * 2], vt[vti[i+1] * 2 + 1]);\n        currentgroup.vt.push(vt[vti[i+2] * 2], vt[vti[i+2] * 2 + 1]);\n      }\n    }\n    \n          \n    // If the model is not textured, the indexed vertices are the same as in the obj file\n    if(!vti.length) {\n      currentgroup.indices = vi;\n      currentgroup.indexoriginalv = v;\n      for(i = 0; i < v.length; i+= 3){\n        currentgroup.indexv.push(v[i] - minX, v[i + 1] - minY, v[i + 2] - minZ);\n      }\n    }\n    \n    // Save group smoothness\n    currentgroup.s = currents;\n    \n    // Save indices lists\n    //currentgroup.vi = vi;\n    //currentgroup.vti = vti;\n    //currentgroup.vni = vni;\n\n    // Add group in current object\n    currentobj.groups.push(currentgroup);\n    \n    // Reset group\n    currentgroup = {};\n    \n    //console.log({indexDict});\n    \n    \n    // Reset indices arrays\n    vi = [];\n    vti = [];\n  };\n  \n\n  //console.log(file);\n  \n  // Parse the file\n  \n  // Remove comments and line breaks\n  objlines = file.replace(/#.*\\n*/g,'').split(/ *[\\r\\n]+/);\n    \n  // For each line\n  for(objline of objlines){\n    \n    // Separate command and param(s)\n    [objcommand, objparam] = objline.split(/ (.*)/);\n    \n    // Split params as a list if possible\n    if(objparam){\n      objlist = objparam.split(/ +/);\n    }\n    \n    // Interpret each command\n    switch(objcommand){\n\n      \n      // Set material\n      case 'usemtl':\n      \n        //console.log(\"mtl\", objparam);\n      \n        // If the current group is not empty and already has a material different than this one, save it and create a new one\n        if(vi.length && currentgroup.usemtl != objparam){\n          endGroup();\n        }\n        \n        // Save the material name for the current and next groups\n        currentusemtl = objparam;\n        \n        break;\n      \n      // New object\n      case 'o':\n      \n        //console.log(\"o\");\n      \n        // Save current group and current object and create new ones (if current object is not empty)\n        if(currentobj.groups.length){\n          endGroup();\n          obj.push(currentobj);\n          currentobj = {};\n        }\n        \n        // Save current object's name\n        currentobj.name = objparam;\n        \n        // Initialize groups\n        currentobj.groups = [];\n        \n        // Reset smoothness to 1\n        currents = 1;\n        \n        break;\n        \n      // New group\n      case 'g':\n      \n        //console.log(\"g\");\n      \n        // Save current group and create a new one (if it's not empty)\n        if(vi.length){\n          endGroup()\n        }\n        \n        // Save current group's name\n        currentgroup.name = objparam;\n        \n        // Reset smoothness to 1\n        currents = 1;\n        \n        break;\n        \n      // Vertex (x, y, z, w*, r*, g*, b*)\n      case 'v':\n      \n        //console.log(\"v\");\n        \n        // Push x, y, z into v\n        v.push(+objlist[0], +objlist[1], +objlist[2]);\n        \n        // Update global min/max coords\n        minX = Math.min(minX, objlist[0]);\n        minY = Math.min(minY, objlist[1]);\n        minZ = Math.min(minZ, objlist[2]);\n        maxX = Math.max(maxX, objlist[0]);\n        maxY = Math.max(maxY, objlist[1]);\n        maxZ = Math.max(maxZ, objlist[2]);\n        break;\n        \n      // Texture coordinates (u, v, w*)\n      case 'vt':\n      \n        //console.log(\"vt\");\n      \n        // Push u, v into vt (w ignored)\n        vt.push(+objlist[0], +objlist[1]);\n        break;\n        \n      // Normal (ignored)\n      case 'vn':\n        break;\n      \n      // New face (polygon)\n      // Polygons with 4+ faces are converted into consecutive triangles\n      case 'f':\n      \n        //console.log(\"f\");\n      \n        // For all possible triangles\n        for(i = 1; i < objlist.length - 1; i++){\n          \n          // Consider the current triangle\n          tmp = [objlist[0], objlist[i], objlist[i+1]];\n          \n          // For each summit of the triangle\n          // Possible formats:\n          // - \"vertex\" indices\n          // - \"vertex/texture\" indices\n          // - \"vertex/texture/normal\" indices\n          // - \"vertex//normal\" indices\n          tmp.map(x => {\n            \n            // Split vertex/texture/normal\n            // indices are decremented because obj files start counting at 1, not 0\n            x = x.split(\"/\");\n            vi.push(+x[0] - 1);\n            if(x[1]){\n              vti.push(+x[1] - 1);\n            }\n            // Normals are ignored\n            //if(x[2]){\n            //  vni.push(+x[2] - 1);\n            //}\n          });\n        }\n        break;\n        \n      // Set smoothness for the following faces of the current group\n      case 's':\n      \n        // Get the new smoothness value\n        tmp = (objparam == 0 || objparam == 'off') ? 0 : 1;\n\n        // Save current group and create a new one (if it's not empty and if the smoothness has changed)\n        if(vi.length && currents != tmp){\n          endGroup();\n        }\n        \n        // Set smoothness for the current group\n        currents = tmp;\n        break;\n    }\n  }\n  \n  // At the end of the file, push the last group in the current object and the last object in obj\n  endGroup();\n  obj.push(currentobj);\n  obj.push({v, vt, vi, vti, maxX, maxY, maxZ, minX, minY, minZ, size: Math.max(maxX-minX, maxY-minY, maxZ-minZ)});\n  return obj;\n}"
  },
  {
    "path": "obj2js/wolf.obj",
    "content": "# Blender v2.78 (sub 0) OBJ File: 'Wolf_With_Baked_Action_Animations_For_Export_One_Mesh.blend'\n# www.blender.org\nmtllib Wolf_One_obj.mtl\no Wolf_obj_body.004_Cube.007\nv 0.086864 0.017906 0.217323\nv 0.088735 0.001961 0.219689\nv 0.082031 0.001870 0.231186\nv 0.082537 0.010950 0.229834\nv 0.080109 0.020856 0.222763\nv 0.078702 0.024871 0.197675\nv 0.083716 0.021290 0.190900\nv 0.088760 0.009085 0.220181\nv 0.058607 0.001877 0.229408\nv 0.058604 0.010504 0.229581\nv 0.065769 0.024280 0.201356\nv 0.066790 0.001848 0.233220\nv 0.066462 0.010991 0.232854\nv 0.064104 0.022152 0.225773\nv 0.074261 0.014580 0.237264\nv 0.073747 0.025564 0.229369\nv 0.083997 0.007397 0.180860\nv 0.057342 0.001979 0.217140\nv 0.073087 0.001994 0.216027\nv 0.074343 0.001814 0.237581\nv 0.055368 0.505306 0.361872\nv 0.049176 0.531314 0.382687\nv 0.042015 0.543216 0.385514\nv 0.044402 0.583555 0.371593\nv 0.054066 0.557937 0.372411\nv 0.052767 0.570521 0.373848\nv 0.042253 0.579124 0.360980\nv 0.052626 0.541472 0.370898\nv 0.048629 0.580009 0.376889\nv 0.037700 0.582520 0.378083\nv 0.045427 0.583484 0.377207\nv 0.040585 0.571364 0.348327\nv 0.053481 0.562425 0.355979\nv 0.037620 0.582617 0.371826\nv 0.032309 0.579300 0.366663\nv 0.026779 0.573688 0.358831\nv 0.029708 0.576530 0.377000\nv 0.024585 0.568795 0.376519\nv 0.050324 0.570783 0.373653\nv 0.050433 0.558206 0.372335\nv 0.042843 0.547826 0.372641\nv 0.032924 0.574931 0.376821\nv 0.039503 0.581250 0.377836\nv 0.044136 0.581601 0.377514\nv 0.046607 0.579150 0.376934\nv 0.029684 0.566258 0.376444\nv 0.029240 0.556378 0.376478\nv 0.045296 0.569930 0.367730\nv 0.041400 0.552370 0.369463\nv 0.034800 0.572381 0.369419\nv 0.041379 0.575069 0.370251\nv 0.046045 0.560676 0.368309\nv 0.033131 0.565671 0.370245\nv 0.032951 0.556960 0.370636\nv 0.040263 0.557665 0.357848\nv 0.041820 0.566692 0.358713\nv 0.037858 0.552499 0.357019\nv 0.037707 0.567802 0.358783\nv 0.040435 0.570130 0.359937\nv 0.034691 0.560016 0.358285\nv 0.033665 0.554926 0.357653\nv -0.023073 0.133321 -0.368875\nv -0.016685 0.291791 -0.247323\nv -0.013794 0.121946 -0.344488\nv 0.034959 0.209476 -0.168988\nv 0.049629 0.215519 -0.205709\nv 0.066269 0.323601 -0.211956\nv 0.073328 0.370524 -0.085773\nv 0.082202 0.336463 -0.072441\nv 0.073083 0.217766 -0.201600\nv 0.041969 0.203117 -0.131453\nv 0.061623 0.199361 -0.105658\nv 0.071975 0.175242 -0.201308\nv 0.051414 0.158637 -0.169097\nv 0.049694 0.167572 -0.187471\nv 0.057345 0.174389 -0.202416\nv 0.062572 0.124865 -0.234131\nv 0.067693 0.111307 -0.191444\nv 0.058261 0.123487 -0.229104\nv 0.057773 0.118156 -0.209740\nv 0.072243 0.124962 -0.234316\nv 0.060091 0.052516 -0.211623\nv 0.060294 0.051597 -0.223593\nv 0.071018 0.055535 -0.199604\nv 0.031425 0.240678 0.183479\nv 0.034106 0.237719 0.157453\nv 0.091056 0.232850 0.139394\nv 0.052295 0.179153 0.191415\nv 0.041339 0.177768 0.172300\nv 0.084687 0.181450 0.143816\nv 0.073899 0.182763 0.130650\nv 0.053684 0.178025 0.133628\nv 0.072281 0.109004 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21/24/24 22/25/25\nf 28/26/26 41/27/27 23/28/28 22/25/25\nf 22/25/25 23/28/28 277/29/29 285/22/22\nf 27/30/30 435/31/31 33/32/32 32/33/33\nf 435/31/31 27/30/30 24/34/34 436/35/35\nf 27/30/30 35/36/36 34/37/37 24/34/34\nf 32/33/33 36/38/38 35/36/36 27/30/30\nf 35/36/36 37/39/39 30/40/40 34/37/37\nf 36/38/38 38/41/41 37/39/39 35/36/36\nf 25/42/42 26/43/43 39/44/44 40/45/45\nf 28/46/26 25/42/42 40/45/45 41/47/27\nf 26/43/43 29/48/46 45/49/47 39/44/44\nf 30/50/40 37/51/39 42/52/48 43/53/49\nf 37/51/39 38/54/41 46/55/50 42/52/48\nf 38/54/41 232/56/51 47/57/52 46/55/50\nf 29/48/46 31/58/53 44/59/54 45/49/47\nf 31/58/53 30/50/40 43/53/49 44/59/54\nf 40/45/45 39/44/44 48/60/55 52/61/56\nf 41/47/27 40/45/45 52/61/56 49/62/57\nf 39/44/44 45/49/47 51/63/58 48/60/55\nf 43/53/49 42/52/48 50/64/59 51/63/58\nf 42/52/48 46/55/50 53/65/60 50/64/59\nf 46/55/50 47/57/52 54/66/61 53/65/60\nf 47/57/52 41/47/27 49/62/57 54/66/61\nf 52/61/56 48/60/55 56/67/62 55/68/63\nf 49/62/57 52/61/56 55/68/63 57/69/64\nf 48/60/55 51/63/58 59/70/65 56/67/62\nf 51/63/58 50/64/59 58/71/66 59/70/65\nf 50/64/59 53/65/60 60/72/67 58/71/66\nf 53/65/60 54/66/61 61/73/68 60/72/67\nf 54/66/61 49/62/57 57/69/64 61/73/68\nf 59/70/65 58/71/66 56/67/62\nf 56/67/62 58/71/66 60/72/67 55/68/63\nf 75/74/69 76/75/70 77/76/71 79/77/72\nf 74/78/73 75/79/69 79/80/72 80/81/74\nf 73/82/75 298/83/76 297/84/77 81/85/78\nf 76/75/70 73/82/75 81/85/78 77/76/71\nf 77/76/71 81/85/78 357/86/79 355/87/80\nf 81/85/78 297/84/77 356/88/81 357/86/79\nf 80/81/74 79/80/72 83/89/82 82/90/83\nf 79/77/72 77/76/71 355/87/80 83/91/82\nf 85/92/84 86/93/85 230/94/86 89/95/87\nf 87/96/88 242/97/89 231/98/90 90/99/91\nf 108/100/92 562/101/93 596/102/94 109/103/95\nf 158/104/96 62/105/97 114/106/98 163/107/99\nf 163/107/99 114/106/98 566/108/100 115/109/101\nf 117/110/102 63/111/103 568/112/104 116/113/105\nf 116/113/105 568/112/104 567/114/106 64/115/107\nf 567/114/106 571/116/108 64/115/107\nf 158/104/96 571/116/108 62/105/97\nf 566/108/100 119/117/109 159/118/110 115/109/101\nf 117/110/102 118/119/111 120/120/112 63/111/103\nf 119/117/109 575/121/113 160/122/114 159/118/110\nf 118/119/111 121/123/115 576/124/116 120/120/112\nf 575/121/113 144/125/117 140/126/118 160/122/114\nf 121/123/115 143/127/119 142/128/120 576/124/116\nf 125/129/121 129/130/122 67/131/123 138/132/124\nf 69/133/125 68/134/126 112/135/127 130/136/128\nf 247/137/129 130/136/128 112/135/127 284/138/130\nf 65/139/131 108/100/92 109/103/95 66/140/132\nf 108/141/92 65/142/131 71/143/133 110/144/134\nf 135/145/135 299/146/136 136/147/137 70/148/138\nf 161/149/139 140/126/118 144/125/117 132/150/140\nf 148/151/141 125/129/121 138/132/124 150/152/142\nf 94/153/143 100/154/144 99/155/145 93/156/146\nf 96/157/147 101/158/148 102/159/149 95/160/150\nf 145/161/151 103/162/152 100/154/144 94/153/143\nf 146/163/153 104/164/154 103/162/152 145/161/151\nf 95/160/150 102/159/149 104/165/154 146/166/153\nf 93/156/146 99/155/145 105/167/155 97/168/156\nf 97/168/156 105/167/155 106/169/157 98/170/158\nf 98/170/158 106/169/157 101/158/148 96/157/147\nf 133/171/159 155/172/160 151/173/161 78/174/162\nf 155/172/160 74/78/73 80/81/74 151/173/161\nf 78/174/162 151/173/161 153/175/163 84/176/164\nf 151/173/161 80/81/74 82/90/83 153/175/163\nf 134/177/165 154/178/166 156/179/167 111/180/168\nf 154/178/166 587/181/169 783/182/170 156/179/167\nf 71/143/133 228/183/171 157/184/172 110/144/134\nf 228/183/171 72/185/173 137/186/174 157/184/172\nf 110/144/134 157/184/172 156/179/167 783/182/170\nf 157/184/172 137/186/174 111/180/168 156/179/167\nf 64/115/107 122/187/175 123/188/176 116/113/105\nf 116/113/105 123/188/176 127/189/177 117/110/102\nf 122/187/175 64/115/107 571/116/108\nf 128/190/178 118/119/111 117/110/102 127/189/177\nf 124/191/179 121/123/115 118/119/111 128/190/178\nf 150/152/142 143/127/119 121/123/115 124/191/179\nf 122/187/175 158/104/96 163/107/99 123/188/176\nf 123/188/176 163/107/99 115/109/101 127/189/177\nf 158/104/96 122/187/175 571/116/108\nf 159/118/110 128/190/178 127/189/177 115/109/101\nf 160/122/114 124/191/179 128/190/178 159/118/110\nf 140/126/118 150/152/142 124/191/179 160/122/114\nf 625/192/180 177/193/181 183/194/182 184/195/183\nf 173/196/184 183/194/182 177/193/181 178/197/185\nf 174/198/186 267/199/187 268/200/188 175/201/189\nf 175/201/189 268/200/188 180/202/190 176/203/191\nf 176/203/191 180/202/190 182/204/192 434/205/193\nf 173/196/184 178/197/185 179/206/194 181/207/195\nf 635/208/196 260/209/197 185/210/198 641/211/199\nf 190/212/200 168/213/201 223/214/202 222/215/203\nf 168/213/201 190/212/200 189/216/204 169/217/205\nf 190/212/200 187/218/206 186/219/207 189/216/204\nf 169/217/205 189/216/204 188/220/208 622/221/209\nf 196/222/210 193/223/211 210/224/212 201/225/213\nf 207/226/214 194/227/215 211/228/216 202/229/217\nf 194/227/215 197/230/218 212/231/219 211/228/216\nf 197/230/218 198/232/220 199/233/221 212/231/219\nf 193/223/211 207/226/214 202/229/217 210/224/212\nf 197/230/218 205/234/222 204/235/223 198/232/220\nf 194/227/215 208/236/224 205/234/222 197/230/218\nf 193/223/211 292/237/225 209/238/226 207/226/214\nf 240/239/227 171/240/228 206/241/229 236/242/230\nf 669/243/231 170/244/232 214/245/233 235/246/234\nf 186/219/207 215/247/235 188/220/208 189/216/204\nf 186/219/207 306/248/236 203/249/237 215/247/235\nf 214/245/233 170/244/232 672/250/238 216/251/239\nf 187/218/206 190/212/200 220/252/240 219/253/241\nf 190/212/200 222/215/203 221/254/242 220/252/240\nf 217/255/243 187/218/206 219/253/241 293/256/244\nf 191/257/245 221/254/242 222/215/203 223/214/202\nf 219/253/241 220/252/240 225/258/246 224/259/247\nf 220/252/240 221/254/242 226/260/248 225/258/246\nf 293/256/244 219/253/241 224/259/247 294/261/249\nf 224/259/247 225/258/246 227/262/250\nf 225/258/246 226/260/248 227/262/250\nf 294/261/249 224/259/247 227/262/250\nf 65/142/131 75/79/69 74/78/73 71/143/133\nf 155/172/160 228/183/171 71/143/133 74/78/73\nf 133/171/159 72/185/173 228/183/171 155/172/160\nf 100/154/144 348/263/251 342/264/252 99/155/145\nf 101/158/148 341/265/253 344/266/254 102/159/149\nf 103/162/152 347/267/255 348/263/251 100/154/144\nf 104/164/154 346/268/256 347/267/255 103/162/152\nf 102/159/149 344/266/254 346/269/256 104/165/154\nf 99/155/145 342/264/252 345/270/257 105/167/155\nf 105/167/155 345/270/257 343/271/258 106/169/157\nf 106/169/157 343/271/258 341/265/253 101/158/148\nf 88/272/259 94/153/143 93/156/146 229/273/260\nf 91/274/261 96/157/147 95/160/150 92/275/262\nf 89/95/87 145/161/151 94/153/143 88/272/259\nf 230/94/86 146/163/153 145/161/151 89/95/87\nf 92/275/262 95/160/150 146/166/153 230/276/86\nf 229/273/260 93/156/146 97/168/156 231/98/90\nf 231/98/90 97/168/156 98/170/158 90/99/91\nf 90/99/91 98/170/158 96/157/147 91/274/261\nf 276/277/263 623/278/264 233/279/265 278/280/266\nf 214/245/233 215/247/235 203/249/237 235/246/234\nf 215/247/235 214/245/233 216/251/239 188/220/208\nf 623/278/264 238/281/267 239/282/268 233/279/265\nf 238/281/267 171/240/228 240/239/227 239/282/268\nf 129/130/122 299/146/136 135/145/135 67/131/123\nf 137/186/174 69/133/125 130/136/128 111/180/168\nf 111/180/168 130/136/128 247/137/129 134/177/165\nf 109/103/95 139/283/269 67/131/123 135/145/135\nf 139/283/269 109/103/95 596/102/94 141/284/270\nf 87/96/88 243/285/271 248/286/272 242/97/89\nf 164/287/273 131/288/274 243/285/271 87/96/88\nf 252/289/275 249/290/276 250/291/277 253/292/278\nf 710/293/279 333/294/280 249/290/276 252/289/275\nf 244/295/281 251/296/282 253/292/278 250/291/277\nf 252/289/275 253/292/278 254/297/283 255/298/284\nf 710/293/279 252/289/275 255/298/284 711/299/285\nf 255/298/284 254/297/283 274/300/286 269/301/287\nf 711/299/285 255/298/284 269/301/287 258/302/288\nf 639/303/289 257/304/290 256/305/291 638/306/292\nf 256/305/291 257/304/290 262/307/293 259/308/294\nf 174/198/186 185/210/198 260/209/197 267/199/187\nf 261/309/295 257/304/290 639/303/289 640/310/296\nf 257/304/290 261/309/295 263/311/297 262/307/293\nf 265/312/298 261/309/295 640/310/296 264/313/299\nf 261/309/295 265/312/298 266/314/300 263/311/297\nf 258/302/288 265/312/298 264/313/299\nf 265/312/298 258/302/288 269/301/287 266/314/300\nf 259/308/294 260/209/197 635/208/196 637/315/301\nf 262/307/293 267/199/187 260/209/197 259/308/294\nf 263/311/297 268/200/188 267/199/187 262/307/293\nf 268/200/188 263/311/297 266/314/300 180/202/190\nf 68/134/126 279/316/302 281/317/303 112/135/127\nf 280/318/304 133/171/159 78/174/162 152/319/305\nf 152/319/305 78/174/162 84/176/164 286/320/306\nf 112/135/127 281/317/303 283/321/307 284/138/130\nf 72/185/173 288/322/308 289/323/309 137/186/174\nf 288/322/308 72/185/173 133/171/159 280/318/304\nf 137/186/174 289/323/309 282/324/310 69/133/125\nf 271/325/311 272/23/23 285/22/22 290/326/312\nf 271/325/311 290/326/312 291/327/313 270/328/314\nf 295/329/315 218/330/316 217/255/243 191/257/245\nf 191/257/245 217/255/243 293/256/244 221/254/242\nf 221/254/242 293/256/244 294/261/249 226/260/248\nf 226/260/248 294/261/249 227/262/250\nf 184/195/183 183/194/182 218/330/316 295/329/315\nf 279/316/302 125/129/121 148/151/141 281/317/303\nf 298/83/76 280/318/304 152/319/305 297/84/77\nf 297/84/77 152/319/305 286/320/306 356/88/81\nf 288/322/308 136/147/137 299/146/136 289/323/309\nf 136/147/137 288/322/308 280/318/304 298/83/76\nf 289/323/309 299/146/136 129/130/122 282/324/310\nf 195/331/317 196/222/210 201/225/213 200/332/318\nf 302/333/319 300/334/320 196/222/210 195/331/317\nf 291/327/313 292/237/225 300/334/320 296/335/321\nf 296/335/321 300/334/320 302/333/319 301/336/322\nf 198/232/220 195/331/317 200/332/318 199/233/221\nf 195/331/317 198/232/220 204/235/223 302/333/319\nf 192/337/323 301/336/322 302/333/319 204/235/223\nf 291/327/313 296/335/321 303/338/324 270/328/314\nf 296/335/321 301/336/322 306/248/236 303/338/324\nf 301/336/322 192/337/323 203/249/237 306/248/236\nf 183/194/182 173/196/184 305/339/325 218/330/316\nf 173/196/184 181/207/195 304/340/326 305/339/325\nf 181/207/195 270/328/314 303/338/324 304/340/326\nf 208/236/224 194/227/215 207/226/214 209/238/226\nf 209/238/226 277/29/29 237/341/327 208/236/224\nf 292/237/225 291/327/313 290/326/312 285/22/22\nf 285/22/22 277/29/29 209/238/226 292/237/225\nf 672/250/238 622/221/209 188/220/208 216/251/239\nf 109/103/95 135/145/135 70/148/138 66/140/132\nf 205/234/222 240/239/227 236/242/230 204/235/223\nf 307/342/328 765/343/329 312/344/330 309/345/331\nf 311/346/332 308/347/333 309/345/331 312/344/330\nf 765/343/329 213/348/334 234/349/335 312/344/330\nf 318/350/336 316/351/337 317/352/338 323/353/339\nf 319/354/340 325/355/341 317/352/338 316/351/337\nf 325/355/341 324/356/342 320/357/343 317/352/338\nf 243/285/271 324/356/342 325/355/341 248/286/272\nf 131/288/274 320/357/343 324/356/342 243/285/271\nf 244/295/281 319/354/340 316/351/337 251/296/282\nf 167/358/344 251/296/282 316/351/337 318/350/336\nf 126/359/345 322/360/346 320/357/343 131/288/274\nf 126/359/345 314/361/347 323/353/339 322/360/346\nf 167/358/344 318/350/336 323/353/339 314/361/347\nf 167/358/344 314/361/347 315/362/348 310/363/349\nf 308/347/333 310/363/349 315/362/348 321/364/350\nf 307/342/328 309/345/331 313/365/351 775/366/352\nf 308/347/333 321/364/350 313/365/351 309/345/331\nf 564/367/353 775/366/352 313/365/351 113/368/354\nf 113/368/354 313/365/351 321/364/350 149/369/355\nf 287/370/356 149/369/355 321/364/350 315/362/348\nf 126/359/345 287/370/356 315/362/348 314/361/347\nf 273/371/357 28/26/26 22/25/25 21/24/24\nf 278/280/266 233/279/265 237/341/327 277/29/29\nf 235/246/234 326/372/358 327/373/359 669/243/231\nf 326/372/358 236/242/230 206/241/229 327/373/359\nf 192/337/323 326/372/358 235/246/234 203/249/237\nf 204/235/223 236/242/230 326/372/358 192/337/323\nf 108/141/92 110/144/134 783/182/170 562/374/93\nf 138/132/124 328/375/360 143/127/119 150/152/142\nf 141/284/270 142/128/120 143/127/119\nf 266/314/300 269/301/287 274/300/286 433/376/361\nf 433/376/361 182/204/192 180/202/190 266/314/300\nf 287/370/356 126/359/345 131/288/274 147/377/362\nf 107/378/363 164/287/273 165/379/364 166/380/365\nf 147/377/362 131/288/274 164/287/273 107/378/363\nf 132/150/140 331/381/366 330/382/367 161/149/139\nf 331/381/366 329/383/368 162/384/369 330/382/367\nf 330/382/367 281/317/303 148/151/141 161/149/139\nf 162/384/369 283/321/307 281/317/303 330/382/367\nf 253/292/278 251/296/282 167/358/344 310/363/349\nf 60/72/67 61/73/68 57/69/64 55/68/63\nf 33/32/32 241/385/370 234/386/335 32/33/33\nf 213/348/334 335/387/371 334/388/372 234/349/335\nf 335/387/371 172/389/373 232/390/51 334/388/372\nf 32/33/33 234/386/335 334/391/372 36/38/38\nf 36/38/38 334/391/372 232/392/51 38/41/41\nf 311/346/332 312/344/330 234/349/335 241/393/370\nf 275/394/374 274/300/286 254/297/283 437/395/375\nf 310/363/349 437/395/375 254/297/283 253/292/278\nf 437/395/375 311/346/332 241/393/370 336/396/376\nf 3/397/4 20/398/6 12/399/18 19/400/377\nf 12/399/18 9/401/16 18/402/15 19/400/377\nf 19/400/377 18/402/15 351/403/378 337/404/379\nf 351/405/378 18/15/15 338/14/14 350/20/20\nf 7/10/10 1/7/7 8/2/2 339/406/380\nf 8/2/2 2/1/1 340/407/381 339/406/380\nf 3/397/4 19/400/377 340/407/381 2/1/1\nf 19/400/377 337/404/379 17/408/382 340/407/381\nf 343/271/258 345/270/257 6/11/11 7/10/10\nf 341/265/253 17/408/382 337/404/379 344/266/254\nf 342/264/252 349/12/12 6/11/11 345/270/257\nf 342/264/252 348/263/251 11/19/19 349/12/12\nf 350/20/20 11/19/19 348/263/251 347/267/255\nf 346/268/256 351/405/378 350/20/20 347/267/255\nf 83/89/82 352/409/383 353/410/384 82/90/83\nf 353/410/384 370/411/385 153/175/163 82/90/83\nf 84/176/164 153/175/163 370/411/385 354/412/386\nf 84/176/164 354/412/386 375/413/387 286/320/306\nf 357/86/79 363/414/388 364/415/389 355/87/80\nf 356/88/81 286/320/306 375/413/387 374/416/390\nf 374/416/390 363/414/388 357/86/79 356/88/81\nf 361/417/391 364/415/389 363/414/388 358/418/392\nf 378/419/393 361/417/391 358/418/392 379/420/394\nf 373/421/395 379/420/394 358/418/392 381/422/396\nf 374/416/390 380/423/397 373/421/395 381/424/396\nf 352/409/383 362/425/398 359/426/399 353/410/384\nf 361/417/391 362/427/398 352/428/383 364/415/389\nf 369/429/400 372/430/401 362/427/398 361/417/391\nf 378/419/393 360/431/402 369/429/400 361/417/391\nf 366/432/403 368/433/404 369/434/400 360/435/402\nf 365/436/405 367/437/406 368/433/404 366/432/403\nf 354/412/386 370/411/385 367/437/406 365/436/405\nf 370/411/385 353/410/384 359/426/399 367/437/406\nf 368/433/404 371/438/407 372/439/401 369/434/400\nf 371/438/407 359/426/399 362/425/398 372/439/401\nf 354/412/386 365/436/405 376/440/408 375/413/387\nf 376/440/408 380/423/397 374/416/390 375/413/387\nf 365/436/405 366/432/403 377/441/409 376/440/408\nf 380/423/397 376/440/408 377/441/409 373/421/395\nf 366/432/403 360/435/402 378/442/393 377/441/409\nf 379/420/394 373/421/395 377/441/409 378/442/393\nf 436/35/35 24/34/34 31/58/53\nf 305/339/325 306/248/236 186/219/207 187/218/206\nf 187/218/206 217/255/243 218/330/316 305/339/325\nf 164/287/273 382/443/410 383/444/411 165/379/364\nf 382/443/410 91/274/261 92/275/262 383/444/411\nf 165/379/364 383/444/411 86/445/85\nf 382/443/410 164/287/273 87/96/88\nf 246/446/412 384/447/413 385/448/414 245/449/415\nf 384/447/413 246/446/412 85/92/84\nf 245/449/415 385/448/414 242/97/89\nf 328/375/360 139/283/269 143/127/119\nf 139/283/269 141/284/270 143/127/119\nf 70/148/138 386/450/416 387/451/417 66/140/132\nf 386/450/416 73/82/75 76/75/70 387/451/417\nf 73/82/75 386/450/416 298/83/76\nf 387/451/417 76/75/70 75/74/69\nf 391/452/418 886/453/419 395/454/420 394/455/421\nf 399/456/422 846/457/423 397/458/424 396/459/425\nf 396/459/425 397/458/424 398/460/426 421/461/427\nf 199/233/221 200/332/318 403/462/428 402/463/429\nf 202/229/217 211/228/216 405/464/430 404/465/431\nf 210/224/212 202/229/217 404/465/431 401/466/432\nf 212/231/219 199/233/221 402/463/429 406/467/433\nf 211/228/216 212/231/219 406/467/433 405/464/430\nf 200/332/318 201/225/213 400/468/434 403/462/428\nf 85/92/84 407/469/435 409/470/436 86/93/85\nf 407/469/435 706/471/437 332/472/438 409/470/436\nf 246/446/412 408/473/439 407/469/435 85/92/84\nf 408/473/439 704/474/440 706/471/437 407/469/435\nf 620/475/441 166/380/365 409/476/436 332/477/438\nf 166/380/365 165/379/364 86/445/85\nf 86/445/85 409/476/436 166/380/365\nf 244/295/281 248/286/272 325/355/341 319/354/340\nf 242/97/89 248/286/272 244/295/281 245/449/415\nf 244/295/281 250/291/277 246/446/412 245/449/415\nf 249/290/276 408/473/439 246/446/412 250/291/277\nf 333/294/280 704/474/440 408/473/439 249/290/276\nf 282/324/310 129/130/122 125/129/121 279/316/302\nf 69/133/125 282/324/310 279/316/302 68/134/126\nf 166/380/365 413/478/442 410/479/443 107/378/363\nf 413/478/442 154/178/166 134/177/165 410/479/443\nf 162/384/369 417/480/444 415/481/445 283/321/307\nf 417/480/444 113/368/354 149/369/355 415/481/445\nf 247/137/129 412/482/446 410/479/443 134/177/165\nf 412/482/446 147/377/362 107/378/363 410/479/443\nf 283/321/307 415/481/445 411/483/447 284/138/130\nf 415/481/445 149/369/355 287/370/356 411/483/447\nf 147/377/362 412/482/446 411/483/447 287/370/356\nf 412/482/446 247/137/129 284/138/130 411/483/447\nf 154/178/166 413/478/442 414/484/448 587/181/169\nf 413/478/442 166/380/365 620/475/441 414/484/448\nf 113/368/354 417/480/444 416/485/449 564/367/353\nf 417/480/444 162/384/369 329/383/368 416/485/449\nf 229/273/260 385/448/414 384/447/413 88/272/259\nf 242/97/89 385/448/414 229/273/260 231/98/90\nf 85/92/84 89/95/87 88/272/259 384/447/413\nf 87/96/88 90/99/91 91/274/261 382/443/410\nf 86/445/85 383/444/411 92/275/262 230/276/86\nf 75/74/69 65/139/131 66/140/132 387/451/417\nf 298/83/76 386/450/416 70/148/138 136/147/137\nf 389/486/450 418/487/451 420/488/452 390/489/453\nf 418/487/451 399/456/422 396/459/425 420/488/452\nf 420/488/452 396/459/425 421/461/427\nf 841/490/454 846/457/423 399/456/422 388/491/455\nf 388/491/455 399/456/422 418/487/451 389/486/450\nf 637/315/301 422/492/456 259/308/294\nf 175/493/189 423/494/457 424/495/458 174/496/186\nf 423/494/457 392/497/459 391/452/418 424/495/458\nf 174/496/186 424/495/458 426/498/460 185/499/198\nf 424/495/458 391/452/418 394/455/421 426/498/460\nf 176/500/191 425/501/461 423/494/457 175/493/189\nf 425/501/461 393/502/462 392/497/459 423/494/457\nf 394/455/421 395/454/420 873/503/463 426/498/460\nf 185/499/198 426/498/460 873/503/463 641/504/199\nf 431/505/464 419/506/465 393/502/462 425/501/461\nf 177/507/181 427/508/466 428/509/467 178/510/185\nf 427/508/466 388/491/455 389/486/450 428/509/467\nf 428/509/467 389/486/450 390/489/453 429/511/468\nf 625/512/180 430/513/469 427/508/466 177/507/181\nf 430/513/469 841/490/454 388/491/455 427/508/466\nf 179/514/194 178/510/185 428/509/467 429/511/468\nf 421/461/427 398/460/426 432/515/470\nf 393/502/462 419/506/465 432/515/470\nf 431/505/464 421/461/427 432/515/470\nf 432/515/470 419/506/465 431/505/464\nf 435/31/31 26/43/43 25/42/42 33/32/32\nf 33/32/32 25/42/42 28/46/26 241/385/370\nf 26/43/43 435/31/31 436/35/35 29/48/46\nf 179/206/194 434/205/193 182/204/192 181/207/195\nf 181/207/195 182/204/192 433/376/361 270/328/314\nf 270/328/314 433/376/361 274/300/286 271/325/311\nf 273/371/357 336/396/376 241/393/370 28/26/26\nf 275/394/374 272/23/23 271/325/311 274/300/286\nf 272/23/23 275/394/374 437/395/375 21/24/24\nf 336/396/376 273/371/357 21/24/24 437/395/375\nf 431/505/464 429/511/468 390/489/453\nf 259/308/294 422/492/456 638/306/292 256/305/291\nf 392/497/459 438/516/471 391/452/418\nf 393/502/462 450/517/472 438/516/471 392/497/459\nf 449/518/473 450/517/472 432/515/470\nf 450/517/472 393/502/462 432/515/470\nf 443/519/474 442/520/475 441/521/476 886/453/419\nf 443/519/474 444/522/477 445/523/478 442/520/475\nf 442/520/475 445/523/478 446/524/479 441/521/476\nf 439/525/480 451/526/481 444/522/477 443/519/474\nf 450/517/472 451/526/481 439/525/480\nf 445/523/478 444/522/477 447/527/482 446/524/479\nf 444/522/477 451/526/481 448/528/483 447/527/482\nf 440/529/484 439/525/480 443/519/474 886/453/419\nf 391/452/418 438/516/471 440/529/484 886/453/419\nf 451/526/481 450/517/472 448/528/483\nf 448/528/483 450/517/472 449/518/473\nf 450/517/472 439/525/480 440/529/484\nf 450/517/472 440/529/484 438/516/471\nf 47/530/52 452/531/485 23/28/28 41/27/27\nf 278/280/266 277/29/29 23/28/28 452/531/485\nf 232/390/51 172/389/373 276/277/263 278/280/266\nf 278/280/266 452/531/485 47/530/52 232/390/51\nf 30/40/40 31/58/53 24/34/34 34/37/37\nf 29/48/46 436/35/35 31/58/53\nf 43/53/49 51/63/58 45/49/47 44/59/54\nf 196/222/210 300/334/320 292/237/225 193/223/211\nf 429/511/468 431/505/464 179/514/194\nf 431/505/464 434/532/193 179/514/194\nf 305/339/325 304/340/326 303/338/324 306/248/236\nf 240/239/227 205/234/222 208/236/224 237/341/327\nf 237/341/327 233/279/265 239/282/268 240/239/227\nf 210/224/212 401/466/432 400/468/434\nf 400/468/434 201/225/213 210/224/212\nf 308/347/333 311/346/332 310/363/349\nf 311/346/332 437/395/375 310/363/349\nf 420/488/452 421/461/427 431/505/464 390/489/453\nf 425/501/461 176/500/191 434/532/193\nf 434/532/193 431/505/464 425/501/461\nf 17/408/382 341/265/253 343/271/258\nf 343/271/258 7/10/10 17/408/382\nf 337/404/379 351/403/378 344/266/254\nf 351/403/378 346/269/256 344/266/254\nf 381/424/396 358/418/392 363/414/388\nf 363/414/388 374/416/390 381/424/396\nf 364/415/389 352/428/383 355/87/80\nf 352/428/383 83/91/82 355/87/80\nf 368/433/404 367/437/406 371/438/407\nf 367/437/406 359/426/399 371/438/407\nf 13/17/17 14/21/21 10/13/13\nf 14/21/21 338/14/14 10/13/13\nf 7/10/10 339/406/380 17/408/382\nf 339/406/380 340/407/381 17/408/382\nf 323/353/339 317/352/338 320/357/343\nf 320/357/343 322/360/346 323/353/339\nf 139/283/269 328/375/360 67/131/123\nf 328/375/360 138/132/124 67/131/123\nf 150/152/142 140/126/118 148/151/141\nf 140/126/118 161/149/139 148/151/141\nf 454/533/486 455/534/487 456/535/488 460/536/489\nf 467/537/490 456/535/488 455/534/487 472/538/491\nf 453/539/492 460/536/489 456/535/488 457/540/493\nf 468/541/494 457/540/493 456/535/488 467/537/490\nf 457/540/493 458/542/495 459/543/496 453/539/492\nf 799/544/497 458/542/495 457/540/493 468/541/494\nf 462/545/498 461/546/499 470/547/500 788/548/501\nf 465/549/502 464/550/503 461/546/499 462/545/498\nf 463/551/504 466/552/505 788/548/501 800/553/506\nf 799/544/497 468/541/494 466/552/505 463/551/504\nf 468/541/494 467/537/490 465/549/502 466/552/505\nf 467/537/490 472/538/491 464/550/503 465/549/502\nf 740/554/507 474/555/508 473/556/509 728/557/510\nf 480/558/511 474/555/508 475/559/512 493/560/513\nf 474/555/508 740/554/507 732/561/514 475/559/512\nf 479/562/515 484/563/516 485/564/517 880/565/518\nf 880/565/518 881/566/519 476/567/520 479/562/515\nf 479/562/515 476/567/520 486/568/521 487/569/522\nf 484/563/516 479/562/515 487/569/522 488/570/523\nf 487/569/522 486/568/521 482/571/524 489/572/525\nf 488/570/523 487/569/522 489/572/525 490/573/526\nf 477/574/527 492/575/528 491/576/529 478/577/530\nf 480/578/511 493/579/513 492/575/528 477/574/527\nf 478/577/530 491/576/529 497/580/531 481/581/532\nf 482/582/524 495/583/533 494/584/534 489/585/525\nf 489/585/525 494/584/534 498/586/535 490/587/526\nf 490/587/526 498/586/535 499/588/536 687/589/537\nf 481/581/532 497/580/531 496/590/538 483/591/539\nf 483/591/539 496/590/538 495/583/533 482/582/524\nf 492/575/528 504/592/540 500/593/541 491/576/529\nf 493/579/513 501/594/542 504/592/540 492/575/528\nf 491/576/529 500/593/541 503/595/543 497/580/531\nf 495/583/533 503/595/543 502/596/544 494/584/534\nf 494/584/534 502/596/544 505/597/545 498/586/535\nf 498/586/535 505/597/545 506/598/546 499/588/536\nf 499/588/536 506/598/546 501/594/542 493/579/513\nf 504/592/540 507/599/547 508/600/548 500/593/541\nf 501/594/542 509/601/549 507/599/547 504/592/540\nf 500/593/541 508/600/548 511/602/550 503/595/543\nf 503/595/543 511/602/550 510/603/551 502/596/544\nf 502/596/544 510/603/551 512/604/552 505/597/545\nf 505/597/545 512/604/552 513/605/553 506/598/546\nf 506/598/546 513/605/553 509/601/549 501/594/542\nf 511/602/550 508/600/548 510/603/551\nf 508/600/548 507/599/547 512/604/552 510/603/551\nf 525/606/554 529/607/555 527/608/556 526/609/557\nf 524/610/558 530/611/559 529/612/555 525/613/554\nf 523/614/560 531/615/561 751/616/562 752/617/563\nf 526/609/557 527/608/556 531/615/561 523/614/560\nf 527/608/556 805/618/564 807/619/565 531/615/561\nf 531/615/561 807/619/565 806/620/566 751/616/562\nf 530/611/559 532/621/567 533/622/568 529/612/555\nf 529/607/555 533/623/568 805/618/564 527/608/556\nf 535/624/569 539/625/570 685/626/571 536/627/572\nf 537/628/573 540/629/574 686/630/575 696/631/576\nf 558/632/577 559/633/578 596/102/94 562/101/93\nf 611/634/579 616/635/580 114/106/98 62/105/97\nf 616/635/580 569/636/581 566/108/100 114/106/98\nf 572/637/582 570/638/583 568/112/104 63/111/103\nf 570/638/583 514/639/584 567/114/106 568/112/104\nf 567/114/106 514/639/584 571/116/108\nf 611/634/579 62/105/97 571/116/108\nf 566/108/100 569/636/581 612/640/585 119/117/109\nf 572/637/582 63/111/103 120/120/112 573/641/586\nf 119/117/109 612/640/585 613/642/587 575/121/113\nf 573/641/586 120/120/112 576/124/116 574/643/588\nf 575/121/113 613/642/587 595/644/589 144/125/117\nf 574/643/588 576/124/116 142/128/120 597/645/590\nf 580/646/591 593/647/592 517/648/593 584/649/594\nf 519/650/595 585/651/596 563/652/597 518/653/598\nf 701/654/599 739/655/600 563/652/597 585/651/596\nf 515/656/601 516/657/602 559/633/578 558/632/577\nf 558/658/577 560/659/603 521/660/604 515/661/601\nf 590/662/605 520/663/606 591/664/607 753/665/608\nf 614/666/609 132/150/140 144/125/117 595/644/589\nf 601/667/610 603/668/611 593/647/592 580/646/591\nf 544/669/612 543/670/613 549/671/614 550/672/615\nf 546/673/616 545/674/617 552/675/618 551/676/619\nf 598/677/620 544/669/612 550/672/615 553/678/621\nf 599/679/622 598/677/620 553/678/621 554/680/623\nf 545/674/617 599/681/622 554/682/623 552/675/618\nf 543/670/613 547/683/624 555/684/625 549/671/614\nf 547/683/624 548/685/626 556/686/627 555/684/625\nf 548/685/626 546/673/616 551/676/619 556/686/627\nf 588/687/628 528/688/629 604/689/630 608/690/631\nf 608/690/631 604/689/630 530/611/559 524/610/558\nf 528/688/629 534/691/632 606/692/633 604/689/630\nf 604/689/630 606/692/633 532/621/567 530/611/559\nf 589/693/634 561/694/635 609/695/636 607/696/637\nf 607/696/637 609/695/636 783/182/170 587/181/169\nf 521/660/604 560/659/603 610/697/638 683/698/639\nf 683/698/639 610/697/638 592/699/640 522/700/641\nf 560/659/603 783/182/170 609/695/636 610/697/638\nf 610/697/638 609/695/636 561/694/635 592/699/640\nf 514/639/584 570/638/583 578/701/642 577/702/643\nf 570/638/583 572/637/582 582/703/644 578/701/642\nf 577/702/643 571/116/108 514/639/584\nf 583/704/645 582/703/644 572/637/582 573/641/586\nf 579/705/646 583/704/645 573/641/586 574/643/588\nf 603/668/611 579/705/646 574/643/588 597/645/590\nf 577/702/643 578/701/642 616/635/580 611/634/579\nf 578/701/642 582/703/644 569/636/581 616/635/580\nf 611/634/579 571/116/108 577/702/643\nf 612/640/585 569/636/581 582/703/644 583/704/645\nf 613/642/587 612/640/585 583/704/645 579/705/646\nf 595/644/589 613/642/587 579/705/646 603/668/611\nf 625/192/180 184/195/183 636/706/647 629/707/648\nf 624/708/649 630/709/650 629/707/648 636/706/647\nf 626/710/651 627/711/652 724/712/653 723/713/654\nf 627/711/652 628/714/655 632/715/656 724/712/653\nf 628/714/655 879/716/657 634/717/658 632/715/656\nf 624/708/649 633/718/659 631/719/660 630/709/650\nf 635/208/196 641/211/199 642/720/661 717/721/662\nf 647/722/663 678/723/664 223/214/202 168/213/201\nf 168/213/201 169/217/205 646/724/665 647/722/663\nf 647/722/663 646/724/665 643/725/666 644/726/667\nf 169/217/205 622/221/209 645/727/668 646/724/665\nf 652/728/669 657/729/670 665/730/671 649/731/672\nf 662/732/673 658/733/674 666/734/675 650/735/676\nf 650/735/676 666/734/675 667/736/677 653/737/678\nf 653/737/678 667/736/677 655/738/679 654/739/680\nf 649/731/672 665/730/671 658/733/674 662/732/673\nf 653/737/678 654/739/680 660/740/681 661/741/682\nf 650/735/676 653/737/678 661/741/682 663/742/683\nf 649/731/672 662/732/673 664/743/684 747/744/685\nf 694/745/686 691/746/687 206/241/229 171/240/228\nf 669/243/231 690/747/688 668/748/689 170/244/232\nf 643/725/666 646/724/665 645/727/668 670/749/690\nf 643/725/666 670/749/690 659/750/691 760/751/692\nf 668/748/689 671/752/693 672/250/238 170/244/232\nf 644/726/667 675/753/694 676/754/695 647/722/663\nf 647/722/663 676/754/695 677/755/696 678/723/664\nf 673/756/697 748/757/698 675/753/694 644/726/667\nf 191/257/245 223/214/202 678/723/664 677/755/696\nf 675/753/694 679/758/699 680/759/700 676/754/695\nf 676/754/695 680/759/700 681/760/701 677/755/696\nf 748/757/698 749/761/702 679/758/699 675/753/694\nf 679/758/699 682/762/703 680/759/700\nf 680/759/700 682/762/703 681/760/701\nf 749/761/702 682/762/703 679/758/699\nf 515/661/601 521/660/604 524/610/558 525/613/554\nf 608/690/631 524/610/558 521/660/604 683/698/639\nf 588/687/628 608/690/631 683/698/639 522/700/641\nf 550/672/615 549/671/614 792/763/704 798/764/705\nf 551/676/619 552/675/618 794/765/706 791/766/707\nf 553/678/621 550/672/615 798/764/705 797/767/708\nf 554/680/623 553/678/621 797/767/708 796/768/709\nf 552/675/618 554/682/623 796/769/709 794/765/706\nf 549/671/614 555/684/625 795/770/710 792/763/704\nf 555/684/625 556/686/627 793/771/711 795/770/710\nf 556/686/627 551/676/619 791/766/707 793/771/711\nf 538/772/712 684/773/713 543/670/613 544/669/612\nf 541/774/714 542/775/715 545/674/617 546/673/616\nf 539/625/570 538/772/712 544/669/612 598/677/620\nf 685/626/571 539/625/570 598/677/620 599/679/622\nf 542/775/715 685/776/571 599/681/622 545/674/617\nf 684/773/713 686/630/575 547/683/624 543/670/613\nf 686/630/575 540/629/574 548/685/626 547/683/624\nf 540/629/574 541/774/714 546/673/616 548/685/626\nf 276/277/263 733/777/716 688/778/717 623/278/264\nf 668/748/689 690/747/688 659/750/691 670/749/690\nf 670/749/690 645/727/668 671/752/693 668/748/689\nf 623/278/264 688/778/717 693/779/718 238/281/267\nf 238/281/267 693/779/718 694/745/686 171/240/228\nf 584/649/594 517/648/593 590/662/605 753/665/608\nf 592/699/640 561/694/635 585/651/596 519/650/595\nf 561/694/635 589/693/634 701/654/599 585/651/596\nf 559/633/578 590/662/605 517/648/593 594/780/719\nf 594/780/719 141/284/270 596/102/94 559/633/578\nf 537/628/573 696/631/576 702/781/720 697/782/721\nf 617/783/722 537/628/573 697/782/721 586/784/723\nf 708/785/724 709/786/725 705/787/726 703/788/727\nf 710/293/279 708/785/724 703/788/727 333/294/280\nf 698/789/728 705/787/726 709/786/725 707/790/729\nf 708/785/724 713/791/730 712/792/731 709/786/725\nf 710/293/279 711/299/285 713/791/730 708/785/724\nf 713/791/730 725/793/732 730/794/733 712/792/731\nf 711/299/285 258/302/288 725/793/732 713/791/730\nf 639/303/289 638/306/292 714/795/734 715/796/735\nf 714/795/734 716/797/736 719/798/737 715/796/735\nf 626/710/651 723/713/654 717/721/662 642/720/661\nf 718/799/738 640/310/296 639/303/289 715/796/735\nf 715/796/735 719/798/737 720/800/739 718/799/738\nf 721/801/740 264/313/299 640/310/296 718/799/738\nf 718/799/738 720/800/739 722/802/741 721/801/740\nf 258/302/288 264/313/299 721/801/740\nf 721/801/740 722/802/741 725/793/732 258/302/288\nf 716/797/736 637/315/301 635/208/196 717/721/662\nf 719/798/737 716/797/736 717/721/662 723/713/654\nf 720/800/739 719/798/737 723/713/654 724/712/653\nf 724/712/653 632/715/656 722/802/741 720/800/739\nf 518/653/598 563/652/597 736/803/742 734/804/743\nf 735/805/744 605/806/745 528/688/629 588/687/628\nf 605/806/745 741/807/746 534/691/632 528/688/629\nf 563/652/597 739/655/600 738/808/747 736/803/742\nf 522/700/641 592/699/640 744/809/748 743/810/749\nf 743/810/749 735/805/744 588/687/628 522/700/641\nf 592/699/640 519/650/595 737/811/750 744/809/748\nf 727/812/751 745/813/752 740/554/507 728/557/510\nf 727/812/751 726/814/753 746/815/754 745/813/752\nf 295/329/315 191/257/245 673/756/697 674/816/755\nf 191/257/245 677/755/696 748/757/698 673/756/697\nf 677/755/696 681/760/701 749/761/702 748/757/698\nf 681/760/701 682/762/703 749/761/702\nf 184/195/183 295/329/315 674/816/755 636/706/647\nf 734/804/743 736/803/742 601/667/610 580/646/591\nf 752/617/563 751/616/562 605/806/745 735/805/744\nf 751/616/562 806/620/566 741/807/746 605/806/745\nf 743/810/749 744/809/748 753/665/608 591/664/607\nf 591/664/607 752/617/563 735/805/744 743/810/749\nf 744/809/748 737/811/750 584/649/594 753/665/608\nf 651/817/756 656/818/757 657/729/670 652/728/669\nf 756/819/758 651/817/756 652/728/669 754/820/759\nf 746/815/754 750/821/760 754/820/759 747/744/685\nf 750/821/760 755/822/761 756/819/758 754/820/759\nf 654/739/680 655/738/679 656/818/757 651/817/756\nf 651/817/756 756/819/758 660/740/681 654/739/680\nf 648/823/762 660/740/681 756/819/758 755/822/761\nf 746/815/754 726/814/753 757/824/763 750/821/760\nf 750/821/760 757/824/763 760/751/692 755/822/761\nf 755/822/761 760/751/692 659/750/691 648/823/762\nf 636/706/647 674/816/755 759/825/764 624/708/649\nf 624/708/649 759/825/764 758/826/765 633/718/659\nf 633/718/659 758/826/765 757/824/763 726/814/753\nf 663/742/683 664/743/684 662/732/673 650/735/676\nf 664/743/684 663/742/683 692/827/766 732/561/514\nf 747/744/685 740/554/507 745/813/752 746/815/754\nf 740/554/507 747/744/685 664/743/684 732/561/514\nf 672/250/238 671/752/693 645/727/668 622/221/209\nf 559/633/578 516/657/602 520/663/606 590/662/605\nf 661/741/682 660/740/681 691/746/687 694/745/686\nf 307/342/328 762/828/767 766/829/768 765/343/329\nf 764/830/769 766/829/768 762/828/767 761/831/770\nf 765/343/329 766/829/768 689/832/771 213/348/334\nf 772/833/772 778/834/773 771/835/774 770/836/775\nf 773/837/776 770/836/775 771/835/774 780/838/777\nf 780/838/777 771/835/774 774/839/778 779/840/779\nf 697/782/721 702/781/720 780/838/777 779/840/779\nf 586/784/723 697/782/721 779/840/779 774/839/778\nf 698/789/728 707/790/729 770/836/775 773/837/776\nf 621/841/780 772/833/772 770/836/775 707/790/729\nf 581/842/781 586/784/723 774/839/778 777/843/782\nf 581/842/781 777/843/782 778/834/773 768/844/783\nf 621/841/780 768/844/783 778/834/773 772/833/772\nf 621/841/780 763/845/784 769/846/785 768/844/783\nf 761/831/770 776/847/786 769/846/785 763/845/784\nf 307/342/328 775/366/352 767/848/787 762/828/767\nf 761/831/770 762/828/767 767/848/787 776/847/786\nf 564/367/353 565/849/788 767/848/787 775/366/352\nf 565/849/788 602/850/789 776/847/786 767/848/787\nf 742/851/790 769/846/785 776/847/786 602/850/789\nf 581/842/781 768/844/783 769/846/785 742/851/790\nf 729/852/791 473/556/509 474/555/508 480/558/511\nf 733/777/716 732/561/514 692/827/766 688/778/717\nf 690/747/688 669/243/231 327/373/359 781/853/792\nf 781/853/792 327/373/359 206/241/229 691/746/687\nf 648/823/762 659/750/691 690/747/688 781/853/792\nf 660/740/681 648/823/762 781/853/792 691/746/687\nf 558/658/577 562/374/93 783/182/170 560/659/603\nf 593/647/592 603/668/611 597/645/590 782/854/793\nf 141/284/270 597/645/590 142/128/120\nf 722/802/741 878/855/794 730/794/733 725/793/732\nf 878/855/794 722/802/741 632/715/656 634/717/658\nf 742/851/790 600/856/795 586/784/723 581/842/781\nf 557/857/796 619/858/797 618/859/798 617/783/722\nf 600/856/795 557/857/796 617/783/722 586/784/723\nf 132/150/140 614/666/609 784/860/799 331/381/366\nf 331/381/366 784/860/799 615/861/800 329/383/368\nf 784/860/799 614/666/609 601/667/610 736/803/742\nf 615/861/800 784/860/799 736/803/742 738/808/747\nf 709/786/725 763/845/784 621/841/780 707/790/729\nf 512/604/552 507/599/547 509/601/549 513/605/553\nf 485/564/517 484/563/516 689/862/771 695/863/801\nf 213/348/334 689/832/771 785/864/802 335/387/371\nf 335/387/371 785/864/802 687/865/537 172/389/373\nf 484/563/516 488/570/523 785/866/802 689/862/771\nf 488/570/523 490/573/526 687/867/537 785/866/802\nf 764/830/769 695/868/801 689/832/771 766/829/768\nf 731/869/803 882/870/804 712/792/731 730/794/733\nf 763/845/784 709/786/725 712/792/731 882/870/804\nf 882/870/804 786/871/805 695/868/801 764/830/769\nf 455/872/487 471/873/806 464/874/503 472/875/491\nf 464/874/503 471/873/806 470/876/500 461/877/499\nf 471/873/806 787/878/807 801/879/808 470/876/500\nf 801/880/808 800/553/506 788/548/501 470/547/500\nf 459/543/496 789/881/809 460/536/489 453/539/492\nf 460/536/489 789/881/809 790/882/810 454/533/486\nf 455/872/487 454/533/486 790/882/810 471/873/806\nf 471/873/806 790/882/810 469/883/811 787/878/807\nf 793/771/711 459/543/496 458/542/495 795/770/710\nf 791/766/707 794/765/706 787/878/807 469/883/811\nf 792/763/704 795/770/710 458/542/495 799/544/497\nf 792/763/704 799/544/497 463/551/504 798/764/705\nf 800/553/506 797/767/708 798/764/705 463/551/504\nf 796/768/709 797/767/708 800/553/506 801/880/808\nf 533/622/568 532/621/567 803/884/812 802/885/813\nf 803/884/812 532/621/567 606/692/633 820/886/814\nf 534/691/632 804/887/815 820/886/814 606/692/633\nf 534/691/632 741/807/746 825/888/816 804/887/815\nf 807/619/565 805/618/564 814/889/817 813/890/818\nf 806/620/566 824/891/819 825/888/816 741/807/746\nf 824/891/819 806/620/566 807/619/565 813/890/818\nf 811/892/820 808/893/821 813/890/818 814/889/817\nf 828/894/822 829/895/823 808/893/821 811/892/820\nf 823/896/824 831/897/825 808/893/821 829/895/823\nf 824/891/819 831/898/825 823/896/824 830/899/826\nf 802/885/813 803/884/812 809/900/827 812/901/828\nf 811/892/820 814/889/817 802/902/813 812/903/828\nf 819/904/829 811/892/820 812/903/828 822/905/830\nf 828/894/822 811/892/820 819/904/829 810/906/831\nf 816/907/832 810/908/831 819/909/829 818/910/833\nf 815/911/834 816/907/832 818/910/833 817/912/835\nf 804/887/815 815/911/834 817/912/835 820/886/814\nf 820/886/814 817/912/835 809/900/827 803/884/812\nf 818/910/833 819/909/829 822/913/830 821/914/836\nf 821/914/836 822/913/830 812/901/828 809/900/827\nf 804/887/815 825/888/816 826/915/837 815/911/834\nf 826/915/837 825/888/816 824/891/819 830/899/826\nf 815/911/834 826/915/837 827/916/838 816/907/832\nf 830/899/826 823/896/824 827/916/838 826/915/837\nf 816/907/832 827/916/838 828/917/822 810/908/831\nf 829/895/823 828/917/822 827/916/838 823/896/824\nf 881/566/519 483/591/539 476/567/520\nf 759/825/764 644/726/667 643/725/666 760/751/692\nf 644/726/667 759/825/764 674/816/755 673/756/697\nf 617/783/722 618/859/798 833/918/839 832/919/840\nf 832/919/840 833/918/839 542/775/715 541/774/714\nf 618/859/798 536/920/572 833/918/839\nf 832/919/840 537/628/573 617/783/722\nf 700/921/841 699/922/842 835/923/843 834/924/844\nf 834/924/844 535/624/569 700/921/841\nf 699/922/842 696/631/576 835/923/843\nf 782/854/793 597/645/590 594/780/719\nf 594/780/719 597/645/590 141/284/270\nf 520/663/606 516/657/602 837/925/845 836/926/846\nf 836/926/846 837/925/845 526/609/557 523/614/560\nf 523/614/560 752/617/563 836/926/846\nf 837/925/845 525/606/554 526/609/557\nf 842/927/847 845/928/848 395/454/420 886/453/419\nf 848/929/849 847/930/850 397/458/424 846/457/423\nf 847/930/850 868/931/851 398/460/426 397/458/424\nf 655/738/679 851/932/852 852/933/853 656/818/757\nf 658/733/674 853/934/854 854/935/855 666/734/675\nf 665/730/671 850/936/856 853/934/854 658/733/674\nf 667/736/677 855/937/857 851/932/852 655/738/679\nf 666/734/675 854/935/855 855/937/857 667/736/677\nf 656/818/757 852/933/853 849/938/858 657/729/670\nf 535/624/569 536/627/572 858/939/859 856/940/860\nf 856/940/860 858/939/859 332/472/438 706/471/437\nf 700/921/841 535/624/569 856/940/860 857/941/861\nf 857/941/861 856/940/860 706/471/437 704/474/440\nf 620/475/441 332/477/438 858/942/859 619/858/797\nf 619/858/797 536/920/572 618/859/798\nf 536/920/572 619/858/797 858/942/859\nf 698/789/728 773/837/776 780/838/777 702/781/720\nf 696/631/576 699/922/842 698/789/728 702/781/720\nf 698/789/728 699/922/842 700/921/841 705/787/726\nf 703/788/727 705/787/726 700/921/841 857/941/861\nf 333/294/280 703/788/727 857/941/861 704/474/440\nf 737/811/750 734/804/743 580/646/591 584/649/594\nf 519/650/595 518/653/598 734/804/743 737/811/750\nf 619/858/797 557/857/796 859/943/862 862/944/863\nf 862/944/863 859/943/862 589/693/634 607/696/637\nf 615/861/800 738/808/747 863/945/864 864/946/865\nf 864/946/865 863/945/864 602/850/789 565/849/788\nf 701/654/599 589/693/634 859/943/862 861/947/866\nf 861/947/866 859/943/862 557/857/796 600/856/795\nf 738/808/747 739/655/600 860/948/867 863/945/864\nf 863/945/864 860/948/867 742/851/790 602/850/789\nf 600/856/795 742/851/790 860/948/867 861/947/866\nf 861/947/866 860/948/867 739/655/600 701/654/599\nf 607/696/637 587/181/169 414/484/448 862/944/863\nf 862/944/863 414/484/448 620/475/441 619/858/797\nf 565/849/788 564/367/353 416/485/449 864/946/865\nf 864/946/865 416/485/449 329/383/368 615/861/800\nf 684/773/713 538/772/712 834/924/844 835/923/843\nf 696/631/576 686/630/575 684/773/713 835/923/843\nf 535/624/569 834/924/844 538/772/712 539/625/570\nf 537/628/573 832/919/840 541/774/714 540/629/574\nf 536/920/572 685/776/571 542/775/715 833/918/839\nf 525/606/554 837/925/845 516/657/602 515/656/601\nf 752/617/563 591/664/607 520/663/606 836/926/846\nf 839/949/868 840/950/869 867/951/870 865/952/871\nf 865/952/871 867/951/870 847/930/850 848/929/849\nf 867/951/870 868/931/851 847/930/850\nf 841/490/454 838/953/872 848/929/849 846/457/423\nf 838/953/872 839/949/868 865/952/871 848/929/849\nf 637/315/301 716/797/736 422/492/456\nf 627/954/652 626/955/651 870/956/873 869/957/874\nf 869/957/874 870/956/873 842/927/847 843/958/875\nf 626/955/651 642/959/661 872/960/876 870/956/873\nf 870/956/873 872/960/876 845/928/848 842/927/847\nf 628/961/655 627/954/652 869/957/874 871/962/877\nf 871/962/877 869/957/874 843/958/875 844/963/878\nf 845/928/848 872/960/876 873/503/463 395/454/420\nf 642/959/661 641/504/199 873/503/463 872/960/876\nf 877/964/879 871/962/877 844/963/878 866/965/880\nf 629/966/648 630/967/650 875/968/881 874/969/882\nf 874/969/882 875/968/881 839/949/868 838/953/872\nf 875/968/881 876/970/883 840/950/869 839/949/868\nf 625/512/180 629/966/648 874/969/882 430/513/469\nf 430/513/469 874/969/882 838/953/872 841/490/454\nf 631/971/660 876/970/883 875/968/881 630/967/650\nf 868/931/851 432/515/470 398/460/426\nf 844/963/878 432/515/470 866/965/880\nf 877/964/879 432/515/470 868/931/851\nf 432/515/470 877/964/879 866/965/880\nf 880/565/518 485/564/517 477/574/527 478/577/530\nf 485/564/517 695/863/801 480/578/511 477/574/527\nf 478/577/530 481/581/532 881/566/519 880/565/518\nf 631/719/660 633/718/659 634/717/658 879/716/657\nf 633/718/659 726/814/753 878/855/794 634/717/658\nf 726/814/753 727/812/751 730/794/733 878/855/794\nf 729/852/791 480/558/511 695/868/801 786/871/805\nf 731/869/803 730/794/733 727/812/751 728/557/510\nf 728/557/510 473/556/509 882/870/804 731/869/803\nf 786/871/805 882/870/804 473/556/509 729/852/791\nf 877/964/879 840/950/869 876/970/883\nf 716/797/736 714/795/734 638/306/292 422/492/456\nf 843/958/875 842/927/847 883/972/884\nf 844/963/878 843/958/875 883/972/884 891/973/885\nf 449/518/473 432/515/470 891/973/885\nf 891/973/885 432/515/470 844/963/878\nf 888/974/886 886/453/419 441/521/476 887/975/887\nf 888/974/886 887/975/887 890/976/888 889/977/889\nf 887/975/887 441/521/476 446/524/479 890/976/888\nf 884/978/890 888/974/886 889/977/889 892/979/891\nf 891/973/885 884/978/890 892/979/891\nf 890/976/888 446/524/479 447/527/482 889/977/889\nf 889/977/889 447/527/482 448/528/483 892/979/891\nf 885/980/892 886/453/419 888/974/886 884/978/890\nf 842/927/847 886/453/419 885/980/892 883/972/884\nf 892/979/891 448/528/483 891/973/885\nf 448/528/483 449/518/473 891/973/885\nf 891/973/885 885/980/892 884/978/890\nf 891/973/885 883/972/884 885/980/892\nf 499/981/536 493/560/513 475/559/512 893/982/893\nf 733/777/716 893/982/893 475/559/512 732/561/514\nf 687/865/537 733/777/716 276/277/263 172/389/373\nf 733/777/716 687/865/537 499/981/536 893/982/893\nf 482/571/524 486/568/521 476/567/520 483/591/539\nf 481/581/532 483/591/539 881/566/519\nf 495/583/533 496/590/538 497/580/531 503/595/543\nf 652/728/669 649/731/672 747/744/685 754/820/759\nf 876/970/883 631/971/660 877/964/879\nf 877/964/879 631/971/660 879/983/657\nf 759/825/764 760/751/692 757/824/763 758/826/765\nf 694/745/686 692/827/766 663/742/683 661/741/682\nf 692/827/766 694/745/686 693/779/718 688/778/717\nf 665/730/671 849/938/858 850/936/856\nf 849/938/858 665/730/671 657/729/670\nf 761/831/770 763/845/784 764/830/769\nf 764/830/769 763/845/784 882/870/804\nf 867/951/870 840/950/869 877/964/879 868/931/851\nf 871/962/877 879/983/657 628/961/655\nf 879/983/657 871/962/877 877/964/879\nf 469/883/811 793/771/711 791/766/707\nf 793/771/711 469/883/811 459/543/496\nf 787/878/807 794/765/706 801/879/808\nf 801/879/808 794/765/706 796/769/709\nf 831/898/825 813/890/818 808/893/821\nf 813/890/818 831/898/825 824/891/819\nf 814/889/817 805/618/564 802/902/813\nf 802/902/813 805/618/564 533/623/568\nf 818/910/833 821/914/836 817/912/835\nf 817/912/835 821/914/836 809/900/827\nf 465/549/502 462/545/498 466/552/505\nf 466/552/505 462/545/498 788/548/501\nf 459/543/496 469/883/811 789/881/809\nf 789/881/809 469/883/811 790/882/810\nf 778/834/773 774/839/778 771/835/774\nf 774/839/778 778/834/773 777/843/782\nf 594/780/719 517/648/593 782/854/793\nf 782/854/793 517/648/593 593/647/592\nf 603/668/611 601/667/610 595/644/589\nf 595/644/589 601/667/610 614/666/609\nusemtl Wolf_Eyes\nf 905/984/894 903/985/895 901/986/896 899/987/897\nf 902/988/898 904/989/899 906/990/900 900/991/901\nf 907/992/902 905/984/894 899/987/897 897/993/903\nf 900/991/901 906/990/900 908/994/904 898/995/905\nf 909/996/906 907/992/902 897/993/903 895/997/907\nf 898/995/905 908/994/904 910/998/908 896/999/909\nf 895/997/907 894/1000/910 911/1001/911 909/996/906\nf 896/999/909 910/998/908 969/1002/912 970/1003/913\nf 974/1004/914 914/1005/915 909/996/906 911/1001/911\nf 910/998/908 915/1006/916 975/1007/917 969/1002/912\nf 914/1005/915 916/1008/918 907/992/902 909/996/906\nf 908/994/904 917/1009/919 915/1006/916 910/998/908\nf 916/1008/918 918/1010/920 905/984/894 907/992/902\nf 906/990/900 919/1011/920 917/1009/919 908/994/904\nf 918/1010/920 920/1012/921 903/985/895 905/984/894\nf 904/989/899 921/1013/922 919/1011/920 906/990/900\nf 924/1014/923 922/1015/924 920/1012/921 918/1010/920\nf 921/1013/922 923/1016/925 925/1017/926 919/1011/920\nf 926/1018/927 924/1014/923 918/1010/920 916/1008/918\nf 919/1011/920 925/1017/926 927/1019/928 917/1009/919\nf 928/1020/929 926/1018/927 916/1008/918 914/1005/915\nf 917/1009/919 927/1019/928 929/1021/930 915/1006/916\nf 930/1022/931 928/1020/929 914/1005/915 974/1004/914\nf 915/1006/916 929/1021/930 931/1023/932 975/1007/917\nf 932/1024/933 934/1025/934 928/1020/929 930/1022/931\nf 929/1021/930 935/1026/935 933/1027/936 931/1023/932\nf 934/1025/934 936/1028/937 926/1018/927 928/1020/929\nf 927/1019/928 937/1029/938 935/1026/935 929/1021/930\nf 936/1028/937 938/1030/939 924/1014/923 926/1018/927\nf 925/1017/926 939/1031/940 937/1029/938 927/1019/928\nf 938/1030/939 940/1032/941 922/1015/924 924/1014/923\nf 923/1016/925 941/1033/942 939/1031/940 925/1017/926\nf 944/1034/943 942/1035/944 940/1032/941 938/1030/939\nf 941/1033/942 943/1036/945 945/1037/946 939/1031/940\nf 946/1038/947 944/1034/943 938/1030/939 936/1028/937\nf 939/1031/940 945/1037/946 947/1039/948 937/1029/938\nf 948/1040/949 946/1038/947 936/1028/937 934/1025/934\nf 937/1029/938 947/1039/948 949/1041/950 935/1026/935\nf 973/1042/951 948/1040/949 934/1025/934 932/1024/933\nf 935/1026/935 949/1041/950 950/1043/952 933/1027/936\nf 972/1044/953 952/1045/954 948/1040/949 973/1042/951\nf 949/1041/950 953/1046/955 951/1047/956 950/1043/952\nf 952/1045/954 954/1048/957 946/1038/947 948/1040/949\nf 947/1039/948 955/1049/958 953/1046/955 949/1041/950\nf 954/1048/957 956/1050/959 944/1034/943 946/1038/947\nf 945/1037/946 957/1051/959 955/1049/958 947/1039/948\nf 956/1050/959 958/1052/960 942/1035/944 944/1034/943\nf 943/1036/945 959/1053/961 957/1051/959 945/1037/946\nf 962/1054/962 960/1055/963 958/1052/960 956/1050/959\nf 959/1053/961 961/1056/964 963/1057/965 957/1051/959\nf 964/1058/966 962/1054/962 956/1050/959 954/1048/957\nf 957/1051/959 963/1057/965 965/1059/967 955/1049/958\nf 966/1060/968 964/1058/966 954/1048/957 952/1045/954\nf 955/1049/958 965/1059/967 967/1061/969 953/1046/955\nf 952/1045/954 972/1044/953 968/1062/970 966/1060/968\nf 971/1063/971 951/1047/956 953/1046/955 967/1061/969\nf 894/1000/910 895/997/907 966/1060/968 968/1062/970\nf 970/1003/913 971/1063/971 967/1061/969 896/999/909\nf 895/997/907 897/993/903 964/1058/966 966/1060/968\nf 965/1059/967 898/995/905 896/999/909 967/1061/969\nf 897/993/903 899/987/897 962/1054/962 964/1058/966\nf 963/1057/965 900/991/901 898/995/905 965/1059/967\nf 899/987/897 901/986/896 960/1055/963 962/1054/962\nf 961/1056/964 902/988/898 900/991/901 963/1057/965\nf 894/1000/910 912/1064/972 911/1001/911\nf 969/1002/912 913/1065/973 970/1003/913\nf 911/1001/911 912/1064/972 974/1004/914\nf 975/1007/917 913/1065/973 969/1002/912\nf 974/1004/914 912/1064/972 930/1022/931\nf 931/1023/932 913/1065/973 975/1007/917\nf 930/1022/931 912/1064/972 932/1024/933\nf 933/1027/936 913/1065/973 931/1023/932\nf 932/1024/933 912/1064/972 973/1042/951\nf 950/1043/952 913/1065/973 933/1027/936\nf 973/1042/951 912/1064/972 972/1044/953\nf 951/1047/956 913/1065/973 950/1043/952\nf 972/1044/953 912/1064/972 968/1062/970\nf 971/1063/971 913/1065/973 951/1047/956\nf 912/1064/972 894/1000/910 968/1062/970\nf 970/1003/913 913/1065/973 971/1063/971\nusemtl Wolf_Claws\nf 977/1066/974 980/1067/975 978/1068/976\nf 977/1066/974 979/1069/977 980/1067/975\nf 976/1070/978 978/1068/976 980/1067/975\nf 976/1070/978 980/1067/975 979/1069/977\nf 982/1071/979 985/1072/980 983/1073/981\nf 982/1071/979 984/1074/982 985/1072/980\nf 981/1075/983 983/1073/981 985/1072/980\nf 981/1075/983 985/1072/980 984/1074/982\nf 987/1076/984 990/1077/985 988/1078/986\nf 987/1076/984 989/1079/987 990/1077/985\nf 986/1080/988 988/1078/986 990/1077/985\nf 986/1080/988 990/1077/985 989/1079/987\nf 992/1081/989 995/1082/990 993/1083/991\nf 992/1081/989 994/1084/992 995/1082/990\nf 991/1085/993 993/1083/991 995/1082/990\nf 991/1085/993 995/1082/990 994/1084/992\nf 997/1086/994 1000/1087/995 998/1088/996\nf 997/1086/994 999/1089/997 1000/1087/995\nf 996/1090/998 998/1088/996 1000/1087/995\nf 996/1090/998 1000/1087/995 999/1089/997\nf 1002/1091/999 1003/1092/1000 1005/1093/1001\nf 1002/1091/999 1005/1093/1001 1004/1094/1002\nf 1001/1095/1003 1005/1093/1001 1003/1092/1000\nf 1001/1095/1003 1004/1094/1002 1005/1093/1001\nf 1007/1096/1004 1008/1097/1005 1010/1098/1006\nf 1007/1096/1004 1010/1098/1006 1009/1099/1007\nf 1006/1100/1008 1010/1098/1006 1008/1097/1005\nf 1006/1100/1008 1009/1099/1007 1010/1098/1006\nf 1015/1101/1009 1013/1102/1010 1012/1103/1011\nf 1014/1104/1012 1015/1101/1009 1012/1103/1011\nf 1013/1102/1010 1015/1101/1009 1011/1105/1013\nf 1011/1105/1013 1015/1101/1009 1014/1104/1012\nf 1017/1106/1014 1018/1107/1015 1020/1108/1016\nf 1017/1106/1014 1020/1108/1016 1019/1109/1017\nf 1016/1110/1018 1020/1108/1016 1018/1107/1015\nf 1016/1110/1018 1019/1109/1017 1020/1108/1016\nf 1022/1111/1019 1023/1112/1020 1025/1113/1021\nf 1022/1111/1019 1025/1113/1021 1024/1114/1022\nf 1021/1115/1023 1025/1113/1021 1023/1112/1020\nf 1021/1115/1023 1024/1114/1022 1025/1113/1021\nf 1027/1116/1024 1028/1117/1025 1030/1118/1026\nf 1027/1116/1024 1030/1118/1026 1029/1119/1027\nf 1026/1120/1028 1030/1118/1026 1028/1117/1025\nf 1026/1120/1028 1029/1119/1027 1030/1118/1026\nf 1032/1121/1029 1033/1122/1030 1035/1123/1031\nf 1032/1121/1029 1035/1123/1031 1034/1124/1032\nf 1031/1125/1033 1035/1123/1031 1033/1122/1030\nf 1031/1125/1033 1034/1124/1032 1035/1123/1031\nf 1037/1126/1034 1038/1127/1035 1040/1128/1036\nf 1037/1126/1034 1040/1128/1036 1039/1129/1037\nf 1036/1130/1038 1040/1128/1036 1038/1127/1035\nf 1036/1130/1038 1039/1129/1037 1040/1128/1036\nf 1042/1131/1039 1045/1132/1040 1043/1133/1041\nf 1042/1131/1039 1044/1134/1042 1045/1132/1040\nf 1041/1135/1043 1043/1133/1041 1045/1132/1040\nf 1041/1135/1043 1045/1132/1040 1044/1134/1042\nf 1047/1136/1044 1050/1137/1045 1048/1138/1046\nf 1047/1136/1044 1049/1139/1047 1050/1137/1045\nf 1046/1140/1048 1048/1138/1046 1050/1137/1045\nf 1046/1140/1048 1050/1137/1045 1049/1139/1047\nf 1055/1141/1049 1052/1142/1050 1053/1143/1051\nf 1054/1144/1052 1052/1142/1050 1055/1141/1049\nf 1053/1143/1051 1051/1145/1053 1055/1141/1049\nf 1051/1145/1053 1054/1144/1052 1055/1141/1049\nusemtl Wolf_Teeth\nf 1060/1146/1054 1056/1147/1055 1058/1148/1056 1062/1149/1057\nf 1056/1147/1055 1066/1150/1058 1065/1151/1059 1058/1148/1056\nf 1056/1147/1055 1060/1146/1054 1061/1152/1060 1057/1153/1061\nf 1066/1150/1058 1056/1147/1055 1057/1153/1061 1067/1154/1062\nf 1057/1153/1061 1061/1152/1060 1063/1155/1063 1059/1156/1064\nf 1067/1154/1062 1057/1153/1061 1059/1156/1064 1064/1157/1065\nf 1059/1156/1064 1063/1155/1063 1062/1149/1057 1058/1148/1056\nf 1064/1157/1065 1059/1156/1064 1058/1148/1056 1065/1151/1059\nf 1065/1151/1059 1066/1150/1058 1067/1154/1062 1064/1157/1065\nf 1070/1158/1066 1074/1159/1067 1072/1160/1068 1068/1161/1069\nf 1077/1162/1070 1070/1158/1066 1068/1161/1069 1078/1163/1071\nf 1068/1161/1069 1072/1160/1068 1073/1164/1072 1069/1165/1073\nf 1078/1163/1071 1068/1161/1069 1069/1165/1073 1079/1166/1074\nf 1069/1165/1073 1073/1164/1072 1075/1167/1075 1071/1168/1076\nf 1079/1166/1074 1069/1165/1073 1071/1168/1076 1076/1169/1077\nf 1071/1168/1076 1075/1167/1075 1074/1159/1067 1070/1158/1066\nf 1076/1169/1077 1071/1168/1076 1070/1158/1066 1077/1162/1070\nf 1077/1162/1070 1078/1163/1071 1079/1166/1074 1076/1169/1077\nf 1082/1170/1078 1081/1171/1079 1080/1172/1080 1083/1173/1081\nf 1083/1173/1081 1088/1174/1082 1089/1175/1083 1082/1170/1078\nf 1088/1174/1082 1084/1176/1084 1085/1177/1085 1089/1175/1083\nf 1080/1172/1080 1090/1178/1086 1088/1174/1082 1083/1173/1081\nf 1090/1178/1086 1086/1179/1087 1084/1176/1084 1088/1174/1082\nf 1081/1171/1079 1091/1180/1088 1090/1178/1086 1080/1172/1080\nf 1091/1180/1088 1087/1181/1089 1086/1179/1087 1090/1178/1086\nf 1082/1170/1078 1089/1175/1083 1091/1180/1088 1081/1171/1079\nf 1089/1175/1083 1085/1177/1085 1087/1181/1089 1091/1180/1088\nf 1095/1182/1090 1096/1183/1091 1094/1184/1092\nf 1092/1185/1093 1093/1186/1094 1096/1183/1091\nf 1092/1185/1093 1096/1183/1091 1095/1182/1090\nf 1100/1187/1095 1093/1186/1094 1092/1185/1093 1101/1188/1096\nf 1098/1189/1097 1095/1182/1090 1094/1184/1092 1099/1190/1098\nf 1097/1191/1099 1096/1183/1091 1093/1186/1094 1100/1187/1095\nf 1099/1190/1098 1094/1184/1092 1096/1183/1091 1097/1191/1099\nf 1097/1191/1099 1098/1189/1097 1099/1190/1098\nf 1100/1187/1095 1101/1188/1096 1097/1191/1099\nf 1097/1191/1099 1101/1188/1096 1098/1189/1097\nf 1106/1192/1100 1102/1193/1101 1105/1194/1102\nf 1103/1195/1103 1102/1193/1101 1106/1192/1100\nf 1106/1192/1100 1105/1194/1102 1104/1196/1104\nf 1104/1196/1104 1109/1197/1105 1107/1198/1106 1106/1192/1100\nf 1106/1192/1100 1107/1198/1106 1110/1199/1107 1103/1195/1103\nf 1105/1194/1102 1108/1200/1108 1109/1197/1105 1104/1196/1104\nf 1103/1195/1103 1110/1199/1107 1111/1201/1109 1102/1193/1101\nf 1111/1201/1109 1107/1198/1106 1108/1200/1108\nf 1111/1201/1109 1110/1199/1107 1107/1198/1106\nf 1108/1200/1108 1107/1198/1106 1109/1197/1105\nf 1115/1202/1110 1116/1203/1111 1114/1204/1112\nf 1112/1205/1113 1113/1206/1114 1116/1203/1111\nf 1112/1205/1113 1116/1203/1111 1115/1202/1110\nf 1120/1207/1115 1113/1206/1114 1112/1205/1113 1121/1208/1116\nf 1118/1209/1117 1115/1202/1110 1114/1204/1112 1119/1210/1118\nf 1117/1211/1119 1116/1203/1111 1113/1206/1114 1120/1207/1115\nf 1119/1210/1118 1114/1204/1112 1116/1203/1111 1117/1211/1119\nf 1117/1211/1119 1118/1209/1117 1119/1210/1118\nf 1120/1207/1115 1121/1208/1116 1117/1211/1119\nf 1117/1211/1119 1121/1208/1116 1118/1209/1117\nf 1126/1212/1120 1122/1213/1121 1125/1214/1122\nf 1123/1215/1123 1122/1213/1121 1126/1212/1120\nf 1126/1212/1120 1125/1214/1122 1124/1216/1124\nf 1124/1216/1124 1129/1217/1125 1127/1218/1126 1126/1212/1120\nf 1126/1212/1120 1127/1218/1126 1130/1219/1127 1123/1215/1123\nf 1125/1214/1122 1128/1220/1128 1129/1217/1125 1124/1216/1124\nf 1123/1215/1123 1130/1219/1127 1131/1221/1129 1122/1213/1121\nf 1131/1221/1129 1127/1218/1126 1128/1220/1128\nf 1131/1221/1129 1130/1219/1127 1127/1218/1126\nf 1128/1220/1128 1127/1218/1126 1129/1217/1125\nf 1135/1222/1130 1136/1223/1131 1134/1224/1132\nf 1132/1225/1133 1133/1226/1134 1136/1223/1131\nf 1132/1225/1133 1136/1223/1131 1135/1222/1130\nf 1140/1227/1135 1133/1226/1134 1132/1225/1133 1141/1228/1136\nf 1138/1229/1137 1135/1222/1130 1134/1224/1132 1139/1230/1138\nf 1137/1231/1139 1136/1223/1131 1133/1226/1134 1140/1227/1135\nf 1139/1230/1138 1134/1224/1132 1136/1223/1131 1137/1231/1139\nf 1137/1231/1139 1138/1229/1137 1139/1230/1138\nf 1140/1227/1135 1141/1228/1136 1137/1231/1139\nf 1137/1231/1139 1141/1228/1136 1138/1229/1137\nf 1146/1232/1140 1147/1233/1141 1143/1234/1142 1144/1235/1143\nf 1142/1236/1144 1145/1237/1145 1144/1235/1143 1143/1234/1142\nf 1153/1238/1146 1142/1236/1144 1143/1234/1142 1152/1239/1147\nf 1151/1240/1148 1144/1235/1143 1145/1237/1145 1150/1241/1149\nf 1149/1242/1150 1146/1232/1140 1144/1235/1143 1151/1240/1148\nf 1148/1243/1151 1147/1233/1141 1146/1232/1140 1149/1242/1150\nf 1152/1239/1147 1143/1234/1142 1147/1233/1141 1148/1243/1151\nf 1152/1239/1147 1148/1243/1151 1149/1242/1150 1151/1240/1148\nf 1151/1240/1148 1150/1241/1149 1153/1238/1146 1152/1239/1147\nf 1158/1244/1152 1154/1245/1153 1157/1246/1154\nf 1155/1247/1155 1154/1245/1153 1158/1244/1152\nf 1158/1244/1152 1157/1246/1154 1156/1248/1156\nf 1156/1248/1156 1161/1249/1157 1159/1250/1158 1158/1244/1152\nf 1158/1244/1152 1159/1250/1158 1162/1251/1159 1155/1247/1155\nf 1157/1246/1154 1160/1252/1160 1161/1249/1157 1156/1248/1156\nf 1163/1253/1161 1154/1245/1153 1155/1247/1155 1162/1251/1159\nf 1163/1253/1161 1159/1250/1158 1160/1252/1160\nf 1163/1253/1161 1162/1251/1159 1159/1250/1158\nf 1160/1252/1160 1159/1250/1158 1161/1249/1157\nf 1164/1254/1162 1165/1255/1163 1166/1256/1164 1167/1257/1165\nf 1167/1257/1165 1166/1256/1164 1173/1258/1166 1172/1259/1167\nf 1172/1259/1167 1173/1258/1166 1169/1260/1168 1168/1261/1169\nf 1164/1254/1162 1167/1257/1165 1172/1259/1167 1174/1262/1170\nf 1174/1262/1170 1172/1259/1167 1168/1261/1169 1170/1263/1171\nf 1174/1262/1170 1175/1264/1172 1165/1255/1163 1164/1254/1162\nf 1175/1264/1172 1174/1262/1170 1170/1263/1171 1171/1265/1173\nf 1166/1256/1164 1165/1255/1163 1175/1264/1172 1173/1258/1166\nf 1173/1258/1166 1175/1264/1172 1171/1265/1173 1169/1260/1168\nf 1178/1266/1174 1176/1267/1175 1180/1268/1176 1182/1269/1177\nf 1185/1270/1178 1186/1271/1179 1176/1267/1175 1178/1266/1174\nf 1176/1267/1175 1177/1272/1180 1181/1273/1181 1180/1268/1176\nf 1186/1271/1179 1187/1274/1182 1177/1272/1180 1176/1267/1175\nf 1177/1272/1180 1179/1275/1183 1183/1276/1184 1181/1273/1181\nf 1187/1274/1182 1184/1277/1185 1179/1275/1183 1177/1272/1180\nf 1179/1275/1183 1178/1266/1174 1182/1269/1177 1183/1276/1184\nf 1184/1277/1185 1185/1270/1178 1178/1266/1174 1179/1275/1183\nf 1185/1270/1178 1184/1277/1185 1187/1274/1182 1186/1271/1179\nf 1190/1278/1186 1191/1279/1187 1188/1280/1188 1189/1281/1189\nf 1191/1279/1187 1190/1278/1186 1197/1282/1190 1196/1283/1191\nf 1196/1283/1191 1197/1282/1190 1193/1284/1192 1192/1285/1193\nf 1188/1280/1188 1191/1279/1187 1196/1283/1191 1198/1286/1194\nf 1198/1286/1194 1196/1283/1191 1192/1285/1193 1194/1287/1195\nf 1189/1281/1189 1188/1280/1188 1198/1286/1194 1199/1288/1196\nf 1199/1288/1196 1198/1286/1194 1194/1287/1195 1195/1289/1197\nf 1190/1278/1186 1189/1281/1189 1199/1288/1196 1197/1282/1190\nf 1197/1282/1190 1199/1288/1196 1195/1289/1197 1193/1284/1192\nf 1202/1290/1198 1201/1291/1199 1200/1292/1200 1203/1293/1201\nf 1201/1291/1199 1202/1290/1198 1204/1294/1202 1205/1295/1203\nf 1201/1291/1199 1205/1295/1203 1206/1296/1204 1210/1297/1205\nf 1205/1295/1203 1204/1294/1202 1207/1298/1206 1206/1296/1204\nf 1204/1294/1202 1202/1290/1198 1209/1299/1207 1207/1298/1206\nf 1202/1290/1198 1203/1293/1201 1208/1300/1208 1209/1299/1207\nf 1200/1292/1200 1201/1291/1199 1210/1297/1205 1211/1301/1209\nf 1211/1301/1209 1210/1297/1205 1209/1299/1207 1208/1300/1208\nf 1207/1298/1206 1209/1299/1207 1210/1297/1205 1206/1296/1204\nf 1216/1302/1210 1215/1303/1211 1212/1304/1212\nf 1213/1305/1213 1216/1302/1210 1212/1304/1212\nf 1216/1302/1210 1214/1306/1214 1215/1303/1211\nf 1214/1306/1214 1216/1302/1210 1217/1307/1215 1219/1308/1216\nf 1216/1302/1210 1213/1305/1213 1220/1309/1217 1217/1307/1215\nf 1215/1303/1211 1214/1306/1214 1219/1308/1216 1218/1310/1218\nf 1213/1305/1213 1212/1304/1212 1221/1311/1219 1220/1309/1217\nf 1221/1311/1219 1218/1310/1218 1217/1307/1215\nf 1221/1311/1219 1217/1307/1215 1220/1309/1217\nf 1218/1310/1218 1219/1308/1216 1217/1307/1215\nf 1225/1312/1220 1224/1313/1221 1226/1314/1222\nf 1222/1315/1223 1226/1314/1222 1223/1316/1224\nf 1222/1315/1223 1225/1312/1220 1226/1314/1222\nf 1230/1317/1225 1231/1318/1226 1222/1315/1223 1223/1316/1224\nf 1228/1319/1227 1229/1320/1228 1224/1313/1221 1225/1312/1220\nf 1227/1321/1229 1230/1317/1225 1223/1316/1224 1226/1314/1222\nf 1229/1320/1228 1227/1321/1229 1226/1314/1222 1224/1313/1221\nf 1227/1321/1229 1229/1320/1228 1228/1319/1227\nf 1230/1317/1225 1227/1321/1229 1231/1318/1226\nf 1227/1321/1229 1228/1319/1227 1231/1318/1226\nf 1236/1322/1230 1235/1323/1231 1232/1324/1232\nf 1233/1325/1233 1236/1322/1230 1232/1324/1232\nf 1236/1322/1230 1234/1326/1234 1235/1323/1231\nf 1234/1326/1234 1236/1322/1230 1237/1327/1235 1239/1328/1236\nf 1236/1322/1230 1233/1325/1233 1240/1329/1237 1237/1327/1235\nf 1235/1323/1231 1234/1326/1234 1239/1328/1236 1238/1330/1238\nf 1233/1325/1233 1232/1324/1232 1241/1331/1239 1240/1329/1237\nf 1241/1331/1239 1238/1330/1238 1237/1327/1235\nf 1241/1331/1239 1237/1327/1235 1240/1329/1237\nf 1238/1330/1238 1239/1328/1236 1237/1327/1235\nf 1245/1332/1240 1244/1333/1241 1246/1334/1242\nf 1242/1335/1243 1246/1334/1242 1243/1336/1244\nf 1242/1335/1243 1245/1332/1240 1246/1334/1242\nf 1250/1337/1245 1251/1338/1246 1242/1335/1243 1243/1336/1244\nf 1248/1339/1247 1249/1340/1248 1244/1333/1241 1245/1332/1240\nf 1247/1341/1249 1250/1337/1245 1243/1336/1244 1246/1334/1242\nf 1249/1340/1248 1247/1341/1249 1246/1334/1242 1244/1333/1241\nf 1247/1341/1249 1249/1340/1248 1248/1339/1247\nf 1250/1337/1245 1247/1341/1249 1251/1338/1246\nf 1247/1341/1249 1248/1339/1247 1251/1338/1246\nf 1256/1342/1250 1255/1343/1251 1252/1344/1252\nf 1253/1345/1253 1256/1342/1250 1252/1344/1252\nf 1256/1342/1250 1254/1346/1254 1255/1343/1251\nf 1254/1346/1254 1256/1342/1250 1257/1347/1255 1259/1348/1256\nf 1256/1342/1250 1253/1345/1253 1260/1349/1257 1257/1347/1255\nf 1255/1343/1251 1254/1346/1254 1259/1348/1256 1258/1350/1258\nf 1261/1351/1259 1260/1349/1257 1253/1345/1253 1252/1344/1252\nf 1261/1351/1259 1258/1350/1258 1257/1347/1255\nf 1261/1351/1259 1257/1347/1255 1260/1349/1257\nf 1258/1350/1258 1259/1348/1256 1257/1347/1255\nf 1266/1352/1260 1268/1353/1261 1264/1354/1262 1262/1355/1263\nf 1262/1355/1263 1264/1354/1262 1271/1356/1264 1272/1357/1265\nf 1262/1355/1263 1263/1358/1266 1267/1359/1267 1266/1352/1260\nf 1272/1357/1265 1273/1360/1268 1263/1358/1266 1262/1355/1263\nf 1263/1358/1266 1265/1361/1269 1269/1362/1270 1267/1359/1267\nf 1273/1360/1268 1270/1363/1271 1265/1361/1269 1263/1358/1266\nf 1265/1361/1269 1264/1354/1262 1268/1353/1261 1269/1362/1270\nf 1270/1363/1271 1271/1356/1264 1264/1354/1262 1265/1361/1269\nf 1271/1356/1264 1270/1363/1271 1273/1360/1268 1272/1357/1265\nf 1276/1364/1272 1274/1365/1273 1278/1366/1274 1280/1367/1275\nf 1283/1368/1276 1284/1369/1277 1274/1365/1273 1276/1364/1272\nf 1274/1365/1273 1275/1370/1278 1279/1371/1279 1278/1366/1274\nf 1284/1369/1277 1285/1372/1280 1275/1370/1278 1274/1365/1273\nf 1275/1370/1278 1277/1373/1281 1281/1374/1282 1279/1371/1279\nf 1285/1372/1280 1282/1375/1283 1277/1373/1281 1275/1370/1278\nf 1277/1373/1281 1276/1364/1272 1280/1367/1275 1281/1374/1282\nf 1282/1375/1283 1283/1368/1276 1276/1364/1272 1277/1373/1281\nf 1283/1368/1276 1282/1375/1283 1285/1372/1280 1284/1369/1277\nf 1288/1376/1284 1289/1377/1285 1286/1378/1286 1287/1379/1287\nf 1289/1377/1285 1288/1376/1284 1295/1380/1288 1294/1381/1289\nf 1294/1381/1289 1295/1380/1288 1291/1382/1290 1290/1383/1291\nf 1286/1378/1286 1289/1377/1285 1294/1381/1289 1296/1384/1292\nf 1296/1384/1292 1294/1381/1289 1290/1383/1291 1292/1385/1293\nf 1287/1379/1287 1286/1378/1286 1296/1384/1292 1297/1386/1294\nf 1297/1386/1294 1296/1384/1292 1292/1385/1293 1293/1387/1295\nf 1288/1376/1284 1287/1379/1287 1297/1386/1294 1295/1380/1288\nf 1295/1380/1288 1297/1386/1294 1293/1387/1295 1291/1382/1290\nf 1301/1388/1296 1300/1389/1297 1302/1390/1298\nf 1298/1391/1299 1302/1390/1298 1299/1392/1300\nf 1298/1391/1299 1301/1388/1296 1302/1390/1298\nf 1306/1393/1301 1307/1394/1302 1298/1391/1299 1299/1392/1300\nf 1304/1395/1303 1305/1396/1304 1300/1389/1297 1301/1388/1296\nf 1303/1397/1305 1306/1393/1301 1299/1392/1300 1302/1390/1298\nf 1305/1396/1304 1303/1397/1305 1302/1390/1298 1300/1389/1297\nf 1303/1397/1305 1305/1396/1304 1304/1395/1303\nf 1306/1393/1301 1303/1397/1305 1307/1394/1302\nf 1303/1397/1305 1304/1395/1303 1307/1394/1302\nf 1312/1398/1306 1311/1399/1307 1308/1400/1308\nf 1309/1401/1309 1312/1398/1306 1308/1400/1308\nf 1312/1398/1306 1310/1402/1310 1311/1399/1307\nf 1310/1402/1310 1312/1398/1306 1313/1403/1311 1315/1404/1312\nf 1312/1398/1306 1309/1401/1309 1316/1405/1313 1313/1403/1311\nf 1311/1399/1307 1310/1402/1310 1315/1404/1312 1314/1406/1314\nf 1309/1401/1309 1308/1400/1308 1317/1407/1315 1316/1405/1313\nf 1317/1407/1315 1314/1406/1314 1313/1403/1311\nf 1317/1407/1315 1313/1403/1311 1316/1405/1313\nf 1314/1406/1314 1315/1404/1312 1313/1403/1311\nf 1321/1408/1316 1320/1409/1317 1322/1410/1318\nf 1318/1411/1319 1322/1410/1318 1319/1412/1320\nf 1318/1411/1319 1321/1408/1316 1322/1410/1318\nf 1326/1413/1321 1327/1414/1322 1318/1411/1319 1319/1412/1320\nf 1324/1415/1323 1325/1416/1324 1320/1409/1317 1321/1408/1316\nf 1323/1417/1325 1326/1413/1321 1319/1412/1320 1322/1410/1318\nf 1325/1416/1324 1323/1417/1325 1322/1410/1318 1320/1409/1317\nf 1323/1417/1325 1325/1416/1324 1324/1415/1323\nf 1326/1413/1321 1323/1417/1325 1327/1414/1322\nf 1323/1417/1325 1324/1415/1323 1327/1414/1322\nf 1332/1418/1326 1331/1419/1327 1328/1420/1328\nf 1329/1421/1329 1332/1418/1326 1328/1420/1328\nf 1332/1418/1326 1330/1422/1330 1331/1419/1327\nf 1330/1422/1330 1332/1418/1326 1333/1423/1331 1335/1424/1332\nf 1332/1418/1326 1329/1421/1329 1336/1425/1333 1333/1423/1331\nf 1331/1419/1327 1330/1422/1330 1335/1424/1332 1334/1426/1334\nf 1329/1421/1329 1328/1420/1328 1337/1427/1335 1336/1425/1333\nf 1337/1427/1335 1334/1426/1334 1333/1423/1331\nf 1337/1427/1335 1333/1423/1331 1336/1425/1333\nf 1334/1426/1334 1335/1424/1332 1333/1423/1331\nf 1341/1428/1336 1340/1429/1337 1342/1430/1338\nf 1338/1431/1339 1342/1430/1338 1339/1432/1340\nf 1338/1431/1339 1341/1428/1336 1342/1430/1338\nf 1346/1433/1341 1347/1434/1342 1338/1431/1339 1339/1432/1340\nf 1344/1435/1343 1345/1436/1344 1340/1429/1337 1341/1428/1336\nf 1343/1437/1345 1346/1433/1341 1339/1432/1340 1342/1430/1338\nf 1345/1436/1344 1343/1437/1345 1342/1430/1338 1340/1429/1337\nf 1343/1437/1345 1345/1436/1344 1344/1435/1343\nf 1346/1433/1341 1343/1437/1345 1347/1434/1342\nf 1343/1437/1345 1344/1435/1343 1347/1434/1342\nf 1352/1438/1346 1350/1439/1347 1349/1440/1348 1353/1441/1349\nf 1348/1442/1350 1349/1440/1348 1350/1439/1347 1351/1443/1351\nf 1359/1444/1352 1358/1445/1353 1349/1440/1348 1348/1442/1350\nf 1357/1446/1354 1356/1447/1355 1351/1443/1351 1350/1439/1347\nf 1355/1448/1356 1357/1446/1354 1350/1439/1347 1352/1438/1346\nf 1354/1449/1357 1355/1448/1356 1352/1438/1346 1353/1441/1349\nf 1358/1445/1353 1354/1449/1357 1353/1441/1349 1349/1440/1348\nf 1358/1445/1353 1357/1446/1354 1355/1448/1356 1354/1449/1357\nf 1357/1446/1354 1358/1445/1353 1359/1444/1352 1356/1447/1355\nf 1364/1450/1358 1363/1451/1359 1360/1452/1360\nf 1361/1453/1361 1364/1450/1358 1360/1452/1360\nf 1364/1450/1358 1362/1454/1362 1363/1451/1359\nf 1362/1454/1362 1364/1450/1358 1365/1455/1363 1367/1456/1364\nf 1364/1450/1358 1361/1453/1361 1368/1457/1365 1365/1455/1363\nf 1363/1451/1359 1362/1454/1362 1367/1456/1364 1366/1458/1366\nf 1369/1459/1367 1368/1457/1365 1361/1453/1361 1360/1452/1360\nf 1369/1459/1367 1366/1458/1366 1365/1455/1363\nf 1369/1459/1367 1365/1455/1363 1368/1457/1365\nf 1366/1458/1366 1367/1456/1364 1365/1455/1363\nf 1370/1460/1368 1373/1461/1369 1372/1462/1370 1371/1463/1371\nf 1373/1461/1369 1378/1464/1372 1379/1465/1373 1372/1462/1370\nf 1378/1464/1372 1374/1466/1374 1375/1467/1375 1379/1465/1373\nf 1370/1460/1368 1380/1468/1376 1378/1464/1372 1373/1461/1369\nf 1380/1468/1376 1376/1469/1377 1374/1466/1374 1378/1464/1372\nf 1380/1468/1376 1370/1460/1368 1371/1463/1371 1381/1470/1378\nf 1381/1470/1378 1377/1471/1379 1376/1469/1377 1380/1468/1376\nf 1372/1462/1370 1379/1465/1373 1381/1470/1378 1371/1463/1371\nf 1379/1465/1373 1375/1467/1375 1377/1471/1379 1381/1470/1378\nf 1384/1472/1380 1388/1473/1381 1386/1474/1382 1382/1475/1383\nf 1391/1476/1384 1384/1472/1380 1382/1475/1383 1392/1477/1385\nf 1382/1475/1383 1386/1474/1382 1387/1478/1386 1383/1479/1387\nf 1392/1477/1385 1382/1475/1383 1383/1479/1387 1393/1480/1388\nf 1383/1479/1387 1387/1478/1386 1389/1481/1389 1385/1482/1390\nf 1393/1480/1388 1383/1479/1387 1385/1482/1390 1390/1483/1391\nf 1385/1482/1390 1389/1481/1389 1388/1473/1381 1384/1472/1380\nf 1390/1483/1391 1385/1482/1390 1384/1472/1380 1391/1476/1384\nf 1391/1476/1384 1392/1477/1385 1393/1480/1388 1390/1483/1391\nf 1396/1484/1392 1395/1485/1393 1394/1486/1394 1397/1487/1395\nf 1397/1487/1395 1402/1488/1396 1403/1489/1397 1396/1484/1392\nf 1402/1488/1396 1398/1490/1398 1399/1491/1399 1403/1489/1397\nf 1394/1486/1394 1404/1492/1400 1402/1488/1396 1397/1487/1395\nf 1404/1492/1400 1400/1493/1401 1398/1490/1398 1402/1488/1396\nf 1395/1485/1393 1405/1494/1402 1404/1492/1400 1394/1486/1394\nf 1405/1494/1402 1401/1495/1403 1400/1493/1401 1404/1492/1400\nf 1396/1484/1392 1403/1489/1397 1405/1494/1402 1395/1485/1393\nf 1403/1489/1397 1399/1491/1399 1401/1495/1403 1405/1494/1402\nf 1408/1496/1404 1409/1497/1405 1406/1498/1406 1407/1499/1407\nf 1407/1499/1407 1411/1500/1408 1410/1501/1409 1408/1496/1404\nf 1407/1499/1407 1416/1502/1410 1412/1503/1411 1411/1500/1408\nf 1411/1500/1408 1412/1503/1411 1413/1504/1412 1410/1501/1409\nf 1410/1501/1409 1413/1504/1412 1415/1505/1413 1408/1496/1404\nf 1408/1496/1404 1415/1505/1413 1414/1506/1414 1409/1497/1405\nf 1406/1498/1406 1417/1507/1415 1416/1502/1410 1407/1499/1407\nf 1417/1507/1415 1414/1506/1414 1415/1505/1413 1416/1502/1410\nf 1413/1504/1412 1412/1503/1411 1416/1502/1410 1415/1505/1413\nf 1422/1508/1416 1418/1509/1417 1421/1510/1418\nf 1419/1511/1419 1418/1509/1417 1422/1508/1416\nf 1422/1508/1416 1421/1510/1418 1420/1512/1420\nf 1420/1512/1420 1425/1513/1421 1423/1514/1422 1422/1508/1416\nf 1422/1508/1416 1423/1514/1422 1426/1515/1423 1419/1511/1419\nf 1421/1510/1418 1424/1516/1424 1425/1513/1421 1420/1512/1420\nf 1419/1511/1419 1426/1515/1423 1427/1517/1425 1418/1509/1417\nf 1427/1517/1425 1423/1514/1422 1424/1516/1424\nf 1427/1517/1425 1426/1515/1423 1423/1514/1422\nf 1424/1516/1424 1423/1514/1422 1425/1513/1421\nf 1431/1518/1426 1432/1519/1427 1430/1520/1428\nf 1428/1521/1429 1429/1522/1430 1432/1519/1427\nf 1428/1521/1429 1432/1519/1427 1431/1518/1426\nf 1436/1523/1431 1429/1522/1430 1428/1521/1429 1437/1524/1432\nf 1434/1525/1433 1431/1518/1426 1430/1520/1428 1435/1526/1434\nf 1433/1527/1435 1432/1519/1427 1429/1522/1430 1436/1523/1431\nf 1435/1526/1434 1430/1520/1428 1432/1519/1427 1433/1527/1435\nf 1433/1527/1435 1434/1525/1433 1435/1526/1434\nf 1436/1523/1431 1437/1524/1432 1433/1527/1435\nf 1433/1527/1435 1437/1524/1432 1434/1525/1433\nf 1442/1528/1436 1438/1529/1437 1441/1530/1438\nf 1439/1531/1439 1438/1529/1437 1442/1528/1436\nf 1442/1528/1436 1441/1530/1438 1440/1532/1440\nf 1440/1532/1440 1445/1533/1441 1443/1534/1442 1442/1528/1436\nf 1442/1528/1436 1443/1534/1442 1446/1535/1443 1439/1531/1439\nf 1441/1530/1438 1444/1536/1444 1445/1533/1441 1440/1532/1440\nf 1439/1531/1439 1446/1535/1443 1447/1537/1445 1438/1529/1437\nf 1447/1537/1445 1443/1534/1442 1444/1536/1444\nf 1447/1537/1445 1446/1535/1443 1443/1534/1442\nf 1444/1536/1444 1443/1534/1442 1445/1533/1441\nf 1451/1538/1446 1452/1539/1447 1450/1540/1448\nf 1448/1541/1449 1449/1542/1450 1452/1539/1447\nf 1448/1541/1449 1452/1539/1447 1451/1538/1446\nf 1456/1543/1451 1449/1542/1450 1448/1541/1449 1457/1544/1452\nf 1454/1545/1453 1451/1538/1446 1450/1540/1448 1455/1546/1454\nf 1453/1547/1455 1452/1539/1447 1449/1542/1450 1456/1543/1451\nf 1455/1546/1454 1450/1540/1448 1452/1539/1447 1453/1547/1455\nf 1453/1547/1455 1454/1545/1453 1455/1546/1454\nf 1456/1543/1451 1457/1544/1452 1453/1547/1455\nf 1453/1547/1455 1457/1544/1452 1454/1545/1453\nf 1462/1548/1456 1458/1549/1457 1461/1550/1458\nf 1459/1551/1459 1458/1549/1457 1462/1548/1456\nf 1462/1548/1456 1461/1550/1458 1460/1552/1460\nf 1460/1552/1460 1465/1553/1461 1463/1554/1462 1462/1548/1456\nf 1462/1548/1456 1463/1554/1462 1466/1555/1463 1459/1551/1459\nf 1461/1550/1458 1464/1556/1464 1465/1553/1461 1460/1552/1460\nf 1467/1557/1465 1458/1549/1457 1459/1551/1459 1466/1555/1463\nf 1467/1557/1465 1463/1554/1462 1464/1556/1464\nf 1467/1557/1465 1466/1555/1463 1463/1554/1462\nf 1464/1556/1464 1463/1554/1462 1465/1553/1461\nusemtl Wolf_Fur\nf 1472/1558/1466 1471/1559/1467 1468/1560/1468\nf 1474/1561/1469 1471/1559/1467 1472/1558/1466\nf 1475/1562/1470 1476/1563/1470 1472/1558/1466 1468/1560/1468\nf 1471/1559/1467 1474/1561/1469 1473/1564/1471 1469/1565/1472\nf 1584/1566/1473 1470/1567/1474 1469/1565/1472 1473/1564/1471\nf 1477/1568/1475 1480/1569/1476 1481/1570/1477 1478/1571/1475\nf 1480/1569/1476 1479/1572/1478 1482/1573/1479 1481/1570/1477\nf 1590/1574/1480 1594/1575/1480 1482/1573/1479 1479/1572/1478\nf 1598/1576/1481 1595/1577/1481 1483/1578/1482 1484/1579/1482\nf 1486/1580/1483 1485/1581/1484 1487/1582/1485 1488/1583/1483\nf 1485/1581/1484 1490/1584/1486 1489/1585/1486 1487/1582/1485\nf 1491/1586/1487 1494/1587/1487 1493/1588/1488 1492/1589/1489\nf 1495/1590/1490 1492/1589/1489 1493/1588/1488 1496/1591/1490\nf 1500/1592/1491 1501/1593/1492 1503/1594/1493 1497/1595/1491\nf 1499/1596/1494 1501/1593/1492 1502/1597/1495 1498/1598/1495\nf 1504/1599/1496 1503/1594/1493 1501/1593/1492 1499/1596/1494\nf 1509/1600/1497 1508/1601/1498 1517/1602/1499 1510/1603/1500\nf 1506/1604/1501 1511/1605/1502 1510/1603/1500 1517/1602/1499\nf 1505/1606/1503 1506/1604/1501 1517/1602/1499 1507/1607/1504\nf 1520/1608/1505 1516/1609/1506 1518/1610/1507 1522/1611/1508\nf 1521/1612/1509 1515/1613/1510 1516/1609/1506 1520/1608/1505\nf 1513/1614/1511 1512/1615/1512 1522/1611/1508 1518/1610/1507\nf 1509/1600/1497 1523/1616/1513 1524/1617/1514 1508/1601/1498\nf 1523/1616/1513 1512/1615/1512 1513/1614/1511 1524/1617/1514\nf 1525/1618/1515 1529/1619/1516 1530/1620/1517 1526/1621/1518\nf 1526/1621/1518 1532/1622/1519 1527/1623/1519 1525/1618/1515\nf 1530/1620/1517 1529/1619/1516 1528/1624/1520 1531/1625/1520\nf 1533/1626/1521 1536/1627/1522 1548/1628/1523 1534/1629/1524\nf 1533/1630/1521 1537/1631/1525 1535/1632/1525 1536/1633/1522\nf 1540/1634/1526 1541/1635/1527 1544/1636/1528 1545/1637/1528\nf 1540/1634/1526 1542/1638/1529 1543/1639/1529 1541/1635/1527\nf 1549/1640/1530 1551/1641/1531 1552/1642/1532 1548/1643/1523\nf 1546/1644/1533 1547/1645/1533 1550/1646/1534 1553/1647/1535\nf 1548/1643/1523 1553/1647/1535 1550/1646/1534 1549/1640/1530\nf 1555/1648/1536 1556/1649/1537 1557/1650/1538 1558/1651/1538\nf 1566/1652/1539 1565/1653/1540 1563/1654/1541 1564/1655/1541\nf 1567/1656/1542 1568/1657/1543 1565/1658/1540 1566/1659/1539\nf 1569/1660/1544 1570/1661/1544 1571/1662/1545 1574/1663/1546\nf 1573/1664/1547 1572/1665/1548 1574/1666/1546 1571/1667/1545\nf 1668/1668/1549 1554/1669/1550 1555/1670/1536\nf 1554/1669/1550 1556/1671/1537 1555/1670/1536\nf 1575/1672/1551 1685/1673/1552 1577/1674/1553\nf 1577/1674/1553 1576/1675/1554 1575/1672/1551\nf 1576/1675/1554 1579/1676/1555 1578/1677/1556\nf 1576/1675/1554 1578/1677/1556 1575/1672/1551\nf 1552/1678/1532 1551/1679/1531 1538/1680/1557\nf 1551/1679/1531 1539/1681/1558 1538/1680/1557\nf 1559/1682/1559 1670/1683/1560 1669/1684/1561\nf 1669/1684/1561 1560/1685/1562 1559/1682/1559\nf 1559/1682/1559 1560/1685/1562 1561/1686/1563\nf 1561/1686/1563 1562/1687/1564 1559/1682/1559\nf 1515/1613/1510 1521/1612/1509 1514/1688/1565\nf 1514/1688/1565 1519/1689/1566 1515/1613/1510\nf 1583/1690/1567 1689/1691/1568 1581/1692/1569\nf 1689/1691/1568 1586/1693/1570 1585/1694/1570 1690/1695/1571\nf 1581/1692/1569 1580/1696/1572 1582/1697/1573 1583/1690/1567\nf 1584/1566/1473 1582/1697/1573 1580/1696/1572 1470/1567/1474\nf 1587/1698/1574 1588/1699/1574 1592/1700/1575 1591/1701/1576\nf 1591/1701/1576 1592/1700/1575 1593/1702/1577 1589/1703/1578\nf 1590/1574/1480 1589/1703/1578 1593/1702/1577 1594/1575/1480\nf 1598/1576/1481 1597/1704/1579 1596/1705/1579 1595/1577/1481\nf 1600/1706/1580 1602/1707/1580 1601/1708/1581 1599/1709/1582\nf 1599/1709/1582 1601/1708/1581 1603/1710/1583 1604/1711/1583\nf 1605/1712/1584 1606/1713/1585 1607/1714/1586 1608/1715/1584\nf 1609/1716/1587 1610/1717/1587 1607/1714/1586 1606/1713/1585\nf 1614/1718/1588 1611/1719/1588 1617/1720/1589 1615/1721/1590\nf 1613/1722/1591 1612/1723/1592 1616/1724/1592 1615/1721/1590\nf 1618/1725/1593 1613/1722/1591 1615/1721/1590 1617/1720/1589\nf 1621/1726/1594 1622/1727/1595 1628/1728/1596 1620/1729/1597\nf 1619/1730/1598 1628/1728/1596 1622/1727/1595 1623/1731/1599\nf 1505/1606/1503 1507/1607/1504 1628/1728/1596 1619/1730/1598\nf 1630/1732/1600 1632/1733/1601 1629/1734/1602 1627/1735/1603\nf 1631/1736/1604 1630/1732/1600 1627/1735/1603 1515/1613/1510\nf 1625/1737/1605 1629/1734/1602 1632/1733/1601 1624/1738/1606\nf 1621/1726/1594 1620/1729/1597 1634/1739/1607 1633/1740/1608\nf 1633/1740/1608 1634/1739/1607 1625/1737/1605 1624/1738/1606\nf 1635/1741/1609 1636/1742/1610 1640/1743/1611 1639/1744/1612\nf 1636/1742/1610 1635/1741/1609 1637/1745/1613 1642/1746/1613\nf 1640/1743/1611 1641/1747/1614 1638/1748/1614 1639/1744/1612\nf 1643/1749/1615 1644/1750/1616 1658/1751/1617 1646/1752/1618\nf 1643/1753/1615 1646/1754/1618 1645/1755/1619 1647/1756/1619\nf 1650/1757/1620 1655/1758/1621 1654/1759/1621 1651/1760/1622\nf 1650/1757/1620 1651/1760/1622 1653/1761/1623 1652/1762/1623\nf 1659/1763/1624 1658/1764/1617 1662/1765/1625 1661/1766/1626\nf 1656/1767/1627 1663/1768/1628 1660/1769/1629 1657/1770/1627\nf 1658/1764/1617 1659/1763/1624 1660/1769/1629 1663/1768/1628\nf 1664/1771/1630 1667/1772/1631 1666/1773/1631 1665/1774/1632\nf 1678/1775/1633 1676/1776/1634 1675/1777/1634 1677/1778/1635\nf 1567/1656/1542 1678/1779/1633 1677/1780/1635 1568/1657/1543\nf 1679/1781/1636 1683/1782/1637 1681/1783/1638 1680/1784/1636\nf 1573/1664/1547 1681/1785/1638 1683/1786/1637 1682/1787/1639\nf 1668/1668/1549 1664/1788/1630 1554/1669/1550\nf 1554/1669/1550 1664/1788/1630 1665/1789/1632\nf 1684/1790/1640 1577/1674/1553 1685/1673/1552\nf 1577/1674/1553 1684/1790/1640 1686/1791/1641\nf 1686/1791/1641 1687/1792/1642 1688/1793/1643\nf 1686/1791/1641 1684/1790/1640 1687/1792/1642\nf 1662/1794/1625 1648/1795/1644 1661/1796/1626\nf 1661/1796/1626 1648/1795/1644 1649/1797/1645\nf 1671/1798/1646 1669/1684/1561 1670/1683/1560\nf 1669/1684/1561 1671/1798/1646 1672/1799/1647\nf 1671/1798/1646 1673/1800/1648 1672/1799/1647\nf 1673/1800/1648 1671/1798/1646 1674/1801/1649\nf 1515/1613/1510 1626/1802/1650 1631/1736/1604\nf 1626/1802/1650 1515/1613/1510 1519/1689/1566\nf 1581/1692/1569 1689/1691/1568 1690/1695/1571\n"
  },
  {
    "path": "obj2js/yoshi.mtl",
    "content": "# Blender3D MTL File: mario_yoshi.blend\n# Material Count: 1\nnewmtl yoshi_green\nNs 96.078431\nKa 0.000000 0.000000 0.000000\nKd 0.800000 0.800000 0.800000\nKs 0.000000 0.000000 0.000000\nNi 1.000000\nd 1.000000\nillum 0\nmap_Kd ./yoshi.png\n\n\n"
  },
  {
    "path": "obj2js/yoshi.obj",
    "content": "# Blender3D v249 OBJ File: mario_yoshi.blend\n# www.blender3d.org\nmtllib yoshi.mtl\nv 0.172743 13.416319 -1.213921\nv 0.124058 13.462358 -1.303096\nv 0.039031 13.516806 -1.340134\nv 0.037856 13.410565 -0.940936\nv -0.121208 13.376938 -1.006333\nv -0.037709 13.516806 -1.340134\nv -0.036533 13.410565 -0.940936\nv 0.172068 13.385090 -1.104436\nv -0.170746 13.385090 -1.104436\nv 0.122530 13.376938 -1.006333\nv -0.122736 13.462358 -1.303096\nv -0.171421 13.416319 -1.213921\nv -0.132650 13.396876 -0.988671\nv 0.133973 13.396876 -0.988671\nv -0.186181 13.405390 -1.094782\nv 0.187503 13.405390 -1.094782\nv -0.186876 13.438851 -1.213243\nv 0.188199 13.438851 -1.213243\nv -0.134100 13.487978 -1.309405\nv 0.135422 13.487978 -1.309405\nv -0.041955 13.546018 -1.349369\nv 0.043277 13.546018 -1.349369\nv 0.042311 13.433271 -0.917858\nv -0.124539 13.431512 -0.991233\nv 0.125861 13.431512 -0.991233\nv -0.174859 13.439810 -1.090869\nv 0.176181 13.439810 -1.090869\nv -0.175425 13.472141 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13.530812 -0.968035\nv -0.047620 13.558820 -1.054094\nv 0.048943 13.558820 -1.054094\nv -0.051004 13.569380 -1.098001\nv 0.052326 13.569380 -1.098001\nv -0.069265 13.568298 -1.138937\nv 0.070587 13.568298 -1.138937\nv -0.034793 13.585066 -1.157798\nv 0.036115 13.585066 -1.157798\nv -0.010332 13.606587 -1.191164\nv 0.011655 13.606587 -1.191164\nv -0.006664 13.581731 -1.046440\nv 0.007986 13.581731 -1.046440\nv -0.025680 13.594972 -1.257471\nv 0.000661 13.594159 -1.118802\nv 0.092868 14.466925 -1.817032\nv -0.091547 14.466925 -1.817032\nv 0.080549 14.419141 -1.837641\nv -0.079228 14.419141 -1.837640\nv 0.115335 14.417494 -1.823666\nv -0.114013 14.417494 -1.823666\nv 0.098047 14.412973 -1.833531\nv -0.096725 14.412973 -1.833531\nv 0.068467 14.436666 -1.836861\nv -0.067145 14.436666 -1.836861\nv 0.069099 14.502223 -1.808263\nv -0.067777 14.502223 -1.808263\nv 0.064451 14.484303 -1.821212\nv -0.063129 14.484303 -1.821212\nv 0.063463 14.461954 -1.831160\nv -0.062141 14.461954 -1.831159\nv 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0.222485\nvt 0.115632 0.190970\nvt 0.119334 0.183671\nvt 0.121938 0.178290\nvt 0.139961 0.197861\nvt 0.130450 0.190881\nvt 0.127722 0.198143\nvt 0.131818 0.186020\nvt 0.137984 0.192723\nvt 0.107290 0.206227\nvt 0.111657 0.198395\nvt 0.123382 0.206794\nvt 0.118269 0.215617\nvt 0.102420 0.214671\nvt 0.113228 0.223414\nvt 0.122612 0.176692\nvt 0.140026 0.193679\nvt 0.132070 0.184603\nvt 0.047898 0.183668\nvt 0.058239 0.161053\nvt 0.072654 0.140234\nvt 0.142748 0.200623\nvt 0.056741 0.724969\nvt 0.079227 0.645414\nvt 0.098568 0.648278\nvt 0.077058 0.720807\nvt 0.087966 0.805669\nvt 0.071639 0.807813\nvt 0.149072 0.652114\nvt 0.131623 0.722415\nvt 0.129961 0.803125\nvt 0.207977 0.652832\nvt 0.207941 0.721999\nvt 0.207301 0.795125\nvt 0.142629 0.865894\nvt 0.112967 0.862986\nvt 0.154083 0.854569\nvt 0.253787 0.731773\nvt 0.259175 0.794523\nvt 0.252009 0.662796\nvt 0.282930 0.679385\nvt 0.290001 0.744143\nvt 0.296213 0.799414\nvt 0.315468 0.754302\nvt 0.325031 0.797433\nvt 0.297863 0.832407\nvt 0.258059 0.840543\nvt 0.323591 0.823718\nvt 0.296114 0.852664\nvt 0.257363 0.868525\nvt 0.318954 0.840061\nvt 0.292191 0.865320\nvt 0.253880 0.885461\nvt 0.319585 0.845165\nvt 0.205452 0.847206\nvt 0.204934 0.877215\nvt 0.197523 0.894002\nvt 0.205369 0.584644\nvt 0.206130 0.607608\nvt 0.159843 0.610876\nvt 0.160008 0.587602\nvt 0.336626 0.824961\nvt 0.328017 0.842827\nvt 0.338453 0.799676\nvt 0.470173 0.773901\nvt 0.508519 0.730253\nvt 0.510955 0.761065\nvt 0.470490 0.792426\nvt 0.424566 0.794404\nvt 0.422484 0.805887\nvt 0.373879 0.794507\nvt 0.371724 0.809973\nvt 0.532572 0.708771\nvt 0.537224 0.748637\nvt 0.538503 0.699147\nvt 0.545662 0.747104\nvt 0.537442 0.792057\nvt 0.522517 0.794229\nvt 0.504679 0.832289\nvt 0.491020 0.829293\nvt 0.501950 0.784040\nvt 0.464600 0.821668\nvt 0.411621 0.833175\nvt 0.366677 0.837080\nvt 0.368162 0.880943\nvt 0.406117 0.877069\nvt 0.408420 0.907457\nvt 0.376312 0.915776\nvt 0.448160 0.884688\nvt 0.442682 0.910278\nvt 0.466324 0.892061\nvt 0.459382 0.913539\nvt 0.476424 0.893950\nvt 0.466015 0.914485\nvt 0.428052 0.943111\nvt 0.411415 0.937552\nvt 0.443395 0.941577\nvt 0.449570 0.939364\nvt 0.384752 0.942132\nvt 0.394582 0.959209\nvt 0.396417 0.963120\nvt 0.411367 0.964484\nvt 0.412245 0.956974\nvt 0.391759 0.959100\nvt 0.411367 0.964152\nvt 0.422453 0.961355\nvt 0.430548 0.959169\nvt 0.430491 0.951154\nvt 0.351081 0.928809\nvt 0.338670 0.900790\nvt 0.367198 0.953894\nvt 0.483278 0.848645\nvt 0.471397 0.847978\nvt 0.453034 0.847283\nvt 0.403649 0.846460\nvt 0.367634 0.848848\nvt 0.327843 0.850773\nvt 0.332250 0.868096\nvt 0.378252 0.772031\nvt 0.423875 0.772659\nvt 0.383273 0.733316\nvt 0.432400 0.727987\nvt 0.386540 0.667221\nvt 0.437853 0.672265\nvt 0.385236 0.604980\nvt 0.435677 0.610889\nvt 0.460003 0.757486\nvt 0.474044 0.723639\nvt 0.471544 0.629741\nvt 0.480342 0.675775\nvt 0.437011 0.588137\nvt 0.457513 0.592970\nvt 0.497946 0.636592\nvt 0.508282 0.675925\nvt 0.521718 0.665264\nvt 0.511064 0.633572\nvt 0.304488 0.710408\nvt 0.247657 0.612789\nvt 0.275933 0.632431\nvt 0.245485 0.595067\nvt 0.277288 0.618161\nvt 0.338833 0.778082\nvt 0.337681 0.758216\nvt 0.339084 0.724544\nvt 0.342829 0.660028\nvt 0.345573 0.616133\nvt 0.339542 0.601824\nvt 0.389105 0.577346\nvt 0.310901 0.708165\nvt 0.316756 0.658385\nvt 0.314079 0.644569\nvt 0.309211 0.629325\nvt 0.315166 0.586355\nvt 0.305293 0.604431\nvt 0.290120 0.595431\nvt 0.287888 0.577391\nvt 0.277290 0.593563\nvt 0.274032 0.579287\nvt 0.258863 0.591252\nvt 0.251480 0.574948\nvt 0.467613 0.592514\nvt 0.120800 0.613268\nvt 0.110641 0.607830\nvt 0.273580 0.566851\nvt 0.292186 0.563352\nvt 0.250098 0.558518\nvt 0.270674 0.551857\nvt 0.306470 0.558681\nvt 0.301775 0.642474\nvt 0.298519 0.656708\nvt 0.287567 0.611496\nvt 0.296914 0.614754\nvt 0.369919 0.568709\nvt 0.306224 0.563724\nvt 0.354282 0.568616\nvt 0.349713 0.565167\nvt 0.512631 0.513555\nvt 0.473330 0.543160\nvt 0.459646 0.512171\nvt 0.499897 0.464020\nvt 0.391526 0.378715\nvt 0.377197 0.452981\nvt 0.354334 0.462714\nvt 0.365831 0.375229\nvt 0.888066 0.496372\nvt 0.882306 0.511909\nvt 0.852174 0.503381\nvt 0.868439 0.480217\nvt 0.880876 0.518066\nvt 0.845673 0.506611\nvt 0.897704 0.481172\nvt 0.883426 0.453586\nvt 0.907862 0.472355\nvt 0.898335 0.428298\nvt 0.898126 0.423143\nvt 0.912044 0.469913\nvt 0.820177 0.489534\nvt 0.841842 0.456034\nvt 0.811990 0.493640\nvt 0.859722 0.416185\nvt 0.872301 0.379189\nvt 0.871966 0.371198\nvt 0.777916 0.478737\nvt 0.803161 0.437496\nvt 0.770890 0.484266\nvt 0.823215 0.385407\nvt 0.837740 0.335832\nvt 0.837782 0.325082\nvt 0.748813 0.456478\nvt 0.767665 0.420407\nvt 0.779679 0.359572\nvt 0.783627 0.296577\nvt 0.782595 0.281776\nvt 0.707806 0.464913\nvt 0.729403 0.415784\nvt 0.751513 0.347762\nvt 0.721554 0.277524\nvt 0.715394 0.253788\nvt 0.675860 0.427535\nvt 0.665476 0.468431\nvt 0.619248 0.220525\nvt 0.624945 0.225727\nvt 0.555825 0.223081\nvt 0.607365 0.411967\nvt 0.610909 0.475444\nvt 0.489803 0.247278\nvt 0.529060 0.283681\nvt 0.496890 0.262973\nvt 0.553881 0.413852\nvt 0.558366 0.478572\nvt 0.524618 0.350938\nvt 0.560228 0.366598\nvt 0.484655 0.286976\nvt 0.506215 0.286627\nvt 0.465956 0.268475\nvt 0.458808 0.266957\nvt 0.458280 0.567095\nvt 0.441781 0.555111\nvt 0.554502 0.522552\nvt 0.512923 0.532326\nvt 0.429579 0.332611\nvt 0.483579 0.404560\nvt 0.411334 0.308722\nvt 0.405204 0.305031\nvt 0.354556 0.374643\nvt 0.479784 0.557002\nvt 0.342492 0.469855\nvt 0.465140 0.570483\nvt 0.375550 0.529925\nvt 0.405465 0.473614\nvt 0.399627 0.536430\nvt 0.357819 0.533477\nvt 0.350698 0.535266\nvt 0.431993 0.506198\nvt 0.420545 0.549313\nvt 0.416318 0.580449\nvt 0.921844 0.511745\nvt 0.915307 0.505041\nvt 0.903057 0.497932\nvt 0.905378 0.519547\nvt 0.914603 0.528568\nvt 0.898155 0.505302\nvt 0.444840 0.384355\nvt 0.414794 0.398834\nvt 0.399427 0.431541\nvt 0.618235 0.481906\nvt 0.579758 0.501770\nvt 0.736023 0.479423\nvt 0.563776 0.525264\nvt 0.411121 0.100300\nvt 0.362553 0.100300\nvt 0.362553 0.051731\nvt 0.411121 0.051731\nvt 0.411121 0.148869\nvt 0.362553 0.148869\nvt 0.459690 0.100300\nvt 0.459690 0.148869\nvt 0.459690 0.051731\nvt 0.427311 0.084110\nvt 0.394932 0.116489\nvt 0.367656 0.064284\nvt 0.418572 0.115201\nvt 0.435544 0.098229\nvt 0.418572 0.064284\nvt 0.469489 0.064284\nvt 0.469489 0.115201\nvt 0.469489 0.166117\nvt 0.367656 0.115201\nvt 0.418572 0.166117\nvt 0.367656 0.166117\nvt 0.368803 0.073606\nvt 0.417372 0.073606\nvt 0.417372 0.122175\nvt 0.368803 0.122175\nvt 0.417372 0.170743\nvt 0.368803 0.170743\nvt 0.465940 0.170743\nvt 0.465940 0.122175\nvt 0.465940 0.073606\nvt 0.437496 0.160935\nvt 0.365628 0.160935\nvt 0.365628 0.089066\nvt 0.437496 0.089066\nvt 0.424560 0.160935\nvt 0.433184 0.160935\nvt 0.401562 0.160935\nvt 0.401562 0.089066\nvt 0.874594 0.113267\nvt 0.826187 0.113267\nvt 0.826187 0.064860\nvt 0.874594 0.064860\nusemtl yoshi_green\ns 1\nf 13/1 24/2 26/3 15/4\nf 27/5 25/6 14/7 16/8\nf 17/1 15/2 26/3 28/4\nf 27/5 16/6 18/7 29/8\nf 19/7 17/6 28/5 30/8\nf 29/5 18/6 20/7 31/8\nf 21/1 19/2 30/3 42/4\nf 31/5 20/6 22/7 32/8\nf 13/1 41/2 43/3 24/4\nf 33/5 23/6 14/7 25/8\nf 24/1 36/2 34/3 26/4\nf 35/3 45/2 25/1 27/4\nf 28/1 26/2 34/3 46/4\nf 35/3 27/2 29/1 37/4\nf 30/1 28/2 46/3 47/4\nf 37/3 29/2 31/1 38/4\nf 42/1 30/2 47/3 39/4\nf 38/3 31/2 32/1 40/4\nf 24/1 43/2 44/3 36/4\nf 48/3 33/2 25/1 45/4\nf 13/1 15/2 9/3 5/4\nf 8/5 16/6 14/7 10/8\nf 15/7 17/6 12/5 9/8\nf 1/5 18/6 16/7 8/8\nf 17/1 19/2 11/3 12/4\nf 18/7 1/8 2/5 20/6\nf 19/7 21/6 6/5 11/8\nf 3/5 22/6 20/7 2/8\nf 5/5 7/8 41/7 13/6\nf 10/5 14/6 23/7 4/8\nf 32/5 22/6 21/6 42/9\nf 43/9 41/7 23/7 33/8\nf 40/3 32/2 42/10 39/11\nf 44/11 43/10 33/1 48/4\nf 6/9 21/6 22/7 3/8\nf 41/7 7/9 4/5 23/6\nf 36/12 51/13 49/14 34/15\nf 50/14 52/13 45/12 35/15\nf 46/12 34/13 49/14 53/15\nf 50/14 35/13 37/12 54/15\nf 47/12 46/13 53/14 55/15\nf 54/14 37/13 38/12 56/15\nf 39/12 47/13 55/14 72/15\nf 56/14 38/13 40/12 57/15\nf 36/12 44/13 58/14 51/15\nf 59/14 48/13 45/12 52/15\nf 51/12 60/13 62/14 49/15\nf 63/14 61/13 52/12 50/15\nf 53/12 49/13 62/14 64/15\nf 63/14 50/13 54/12 65/15\nf 55/12 53/13 64/14 66/15\nf 65/14 54/13 56/12 67/15\nf 72/12 55/13 66/14 68/15\nf 67/14 56/13 57/12 69/15\nf 51/12 58/13 70/14 60/15\nf 71/14 59/13 52/12 61/15\nf 58/16 44/17 48/12 59/15\nf 70/15 58/13 59/12 71/15\nf 72/14 57/15 40/12 39/13\nf 68/13 69/13 57/12 72/15\nf 71/13 73/14 70/12\nf 68/12 73/14 69/13\nf 67/14 73/15 63/12 65/13\nf 69/13 73/14 67/12\nf 73/14 71/15 61/12 63/13\nf 73/14 62/15 60/12 70/13\nf 62/12 73/15 66/14 64/13\nf 66/12 73/14 68/13\nf 74/18 80/19 76/20\nf 77/21 81/22 75/23\nf 74/18 76/20 82/24\nf 83/25 77/21 75/23\nf 74/18 100/26 78/27\nf 79/28 101/29 75/23\nf 74/18 78/27 80/19\nf 81/22 79/28 75/23\nf 74/18 82/24 88/30\nf 89/31 83/25 75/23\nf 74/18 84/32 90/33\nf 91/34 85/35 75/23\nf 74/18 86/36 84/32\nf 85/35 87/37 75/23\nf 74/18 88/30 86/36\nf 87/37 89/31 75/23\nf 74/18 92/38 96/39\nf 97/40 93/41 75/23\nf 74/18 90/33 94/42\nf 95/43 91/34 75/23\nf 74/18 94/42 92/38\nf 93/41 95/43 75/23\nf 74/18 96/39 98/44\nf 99/45 97/40 75/23\nf 74/18 98/44 100/26\nf 101/29 99/45 75/23\nf 108/46 104/47 852/48 853/49\nf 851/50 105/51 109/52 134/53\nf 949/54 892/55 852/48 104/47\nf 851/50 891/56 948/57 105/51\nf 104/47 126/58 894/59 949/54\nf 893/60 127/61 105/51 948/57\nf 80/19 108/46 102/62 76/20\nf 103/63 109/52 81/22 77/21\nf 76/20 102/62 106/64 82/24\nf 107/65 103/63 77/21 83/25\nf 100/26 126/58 104/47 78/27\nf 105/51 127/61 101/29 79/28\nf 78/27 104/47 108/46 80/19\nf 109/52 105/51 79/28 81/22\nf 82/24 106/64 114/66 88/30\nf 115/67 107/65 83/25 89/31\nf 84/32 110/68 116/69 90/33\nf 117/70 111/71 85/35 91/34\nf 86/36 112/72 110/68 84/32\nf 111/71 113/73 87/37 85/35\nf 88/30 114/66 112/72 86/36\nf 113/73 115/67 89/31 87/37\nf 92/38 118/74 122/75 96/39\nf 123/76 119/77 93/41 97/40\nf 90/33 116/69 120/78 94/42\nf 121/79 117/70 91/34 95/43\nf 94/42 120/78 118/74 92/38\nf 119/77 121/79 95/43 93/41\nf 96/39 122/75 124/80 98/44\nf 125/81 123/76 97/40 99/45\nf 98/44 124/80 126/58 100/26\nf 127/61 125/81 99/45 101/29\nf 102/62 108/46 853/49 128/82\nf 134/53 109/52 103/63 129/83\nf 106/64 102/62 128/82 955/84\nf 129/83 103/63 107/65 943/85\nf 106/64 955/84 132/86 114/66\nf 130/87 943/85 107/65 115/67\nf 110/68 131/88 923/89 116/69\nf 922/90 942/91 111/71 117/70\nf 112/72 941/92 131/88 110/68\nf 942/91 944/93 113/73 111/71\nf 114/66 132/86 941/92 112/72\nf 944/93 130/87 115/67 113/73\nf 118/74 930/94 919/95 122/75\nf 918/96 929/97 119/77 123/76\nf 116/69 923/89 928/98 120/78\nf 133/99 922/90 117/70 121/79\nf 120/78 928/98 930/94 118/74\nf 929/97 133/99 121/79 119/77\nf 122/75 919/95 896/100 124/80\nf 895/101 918/96 123/76 125/81\nf 124/80 896/100 894/59 126/58\nf 893/60 895/101 125/81 127/61\nf 146/102 1333/103 1338/104 166/105\nf 188/104 1334/103 147/102 167/105\nf 186/106 135/107 164/108 1335/109\nf 187/106 1336/109 165/108 136/107\nf 161/110 159/111 156/112 1330/113\nf 157/112 160/111 162/110 158/113\nf 159/111 135/107 186/106 156/112\nf 160/111 157/112 187/106 136/107\nf 144/114 189/115 1330/113 1331/116\nf 158/113 190/115 145/114 1332/116\nf 146/102 144/114 1331/116 1333/103\nf 1332/116 145/114 147/102 1334/103\nf 164/108 168/117 163/118 1335/109\nf 1337/118 169/117 165/108 1336/109\nf 168/117 166/105 1338/104 163/118\nf 188/104 167/105 169/117 1337/118\nf 174/119 191/120 146/102 166/105\nf 147/102 192/120 175/119 167/105\nf 148/121 172/122 159/111 161/110\nf 160/111 173/122 149/121 162/110\nf 135/107 159/111 172/122 170/123\nf 136/107 171/123 173/122 160/111\nf 164/108 135/107 170/123 193/124\nf 165/108 194/124 171/123 136/107\nf 193/124 176/125 168/117 164/108\nf 169/117 177/125 194/124 165/108\nf 195/126 148/121 161/110 189/115\nf 162/110 149/121 196/126 190/115\nf 176/125 174/119 166/105 168/117\nf 167/105 175/119 177/125 169/117\nf 197/127 195/126 189/115 144/114\nf 190/115 196/126 198/127 145/114\nf 191/120 197/127 144/114 146/102\nf 145/114 198/127 192/120 147/102\nf 152/128 199/129 191/120 174/119\nf 192/120 200/129 153/128 175/119\nf 180/130 201/131 172/122 148/121\nf 173/122 202/131 181/130 149/121\nf 170/123 172/122 201/131 178/132\nf 202/131 173/122 171/123 179/132\nf 178/132 150/133 193/124 170/123\nf 194/124 151/133 179/132 171/123\nf 150/133 182/134 176/125 193/124\nf 177/125 183/134 151/133 194/124\nf 154/135 180/130 148/121 195/126\nf 149/121 181/130 155/135 196/126\nf 182/134 152/128 174/119 176/125\nf 175/119 153/128 183/134 177/125\nf 184/136 154/135 195/126 197/127\nf 196/126 155/135 185/136 198/127\nf 199/129 184/136 197/127 191/120\nf 198/127 185/136 200/129 192/120\nf 1125/137 1124/138 199/129 152/128\nf 200/129 1123/138 139/137 153/128\nf 1178/139 142/140 201/131 180/130\nf 202/131 143/140 1177/139 181/130\nf 178/132 201/131 142/140 1203/141\nf 143/140 202/131 179/132 1202/141\nf 1203/141 1206/142 150/133 178/132\nf 151/133 1205/142 1202/141 179/132\nf 1206/142 138/143 182/134 150/133\nf 183/134 1204/143 1205/142 151/133\nf 140/144 1178/139 180/130 154/135\nf 181/130 1177/139 141/144 155/135\nf 138/143 1125/137 152/128 182/134\nf 153/128 139/137 1204/143 183/134\nf 137/145 140/144 154/135 184/136\nf 155/135 141/144 1207/145 185/136\nf 184/136 199/129 1124/138 137/145\nf 1123/138 200/129 185/136 1207/145\nf 158/113 162/110 190/115\nf 1330/113 189/115 161/110\nf 233/146 229/147 293/148 295/149\nf 294/148 230/147 234/146 296/149\nf 231/150 249/151 293/148 229/147\nf 294/148 250/151 232/150 230/147\nf 241/152 239/153 249/151 231/150\nf 250/151 240/153 242/152 232/150\nf 235/154 233/146 295/149 237/155\nf 296/149 234/146 236/154 238/155\nf 219/156 235/154 237/155 257/157\nf 238/155 236/154 220/156 258/157\nf 245/158 243/159 239/153 241/152\nf 240/153 244/159 246/158 242/152\nf 247/160 221/161 243/159 245/158\nf 244/159 222/161 248/160 246/158\nf 247/160 219/156 257/157 221/161\nf 258/157 220/156 248/160 222/161\nf 295/149 293/148 297/162 251/163\nf 298/162 294/148 296/149 252/163\nf 249/151 299/164 297/162 293/148\nf 298/162 300/164 250/151 294/148\nf 239/153 253/165 299/164 249/151\nf 300/164 254/165 240/153 250/151\nf 237/155 295/149 251/163 223/166\nf 252/163 296/149 238/155 224/166\nf 257/157 237/155 223/166 225/167\nf 224/166 238/155 258/157 226/167\nf 243/159 255/168 253/165 239/153\nf 254/165 256/168 244/159 240/153\nf 221/161 301/169 255/168 243/159\nf 256/168 302/169 222/161 244/159\nf 221/161 257/157 225/167 301/169\nf 226/167 258/157 222/161 302/169\nf 251/163 297/162 303/170 305/171\nf 304/170 298/162 252/163 306/171\nf 299/164 259/172 303/170 297/162\nf 304/170 260/172 300/164 298/162\nf 267/173 311/174 303/170 259/172\nf 304/170 312/174 268/173 260/172\nf 227/175 305/171 303/170 311/174\nf 304/170 306/171 228/175 312/174\nf 253/165 261/176 259/172 299/164\nf 260/172 262/176 254/165 300/164\nf 271/177 267/173 259/172 261/176\nf 260/172 268/173 272/177 262/176\nf 223/166 251/163 305/171 307/178\nf 306/171 252/163 224/166 308/178\nf 269/179 307/178 305/171 227/175\nf 306/171 308/178 270/179 228/175\nf 225/167 223/166 307/178 309/180\nf 308/178 224/166 226/167 310/180\nf 275/181 309/180 307/178 269/179\nf 308/178 310/180 276/181 270/179\nf 255/168 263/182 261/176 253/165\nf 262/176 264/182 256/168 254/165\nf 273/183 271/177 261/176 263/182\nf 262/176 272/177 274/183 264/182\nf 301/169 265/184 263/182 255/168\nf 264/182 266/184 302/169 256/168\nf 277/185 273/183 263/182 265/184\nf 264/182 274/183 278/185 266/184\nf 301/169 225/167 309/180 265/184\nf 310/180 226/167 302/169 266/184\nf 277/185 265/184 309/180 275/181\nf 310/180 266/184 278/185 276/181\nf 281/186 279/187 311/174 267/173\nf 312/174 280/187 282/186 268/173\nf 283/188 227/175 311/174 279/187\nf 312/174 228/175 284/188 280/187\nf 313/189 281/186 267/173 271/177\nf 268/173 282/186 314/189 272/177\nf 285/190 269/179 227/175 283/188\nf 228/175 270/179 286/190 284/188\nf 289/191 275/181 269/179 285/190\nf 270/179 276/181 290/191 286/190\nf 287/192 313/189 271/177 273/183\nf 272/177 314/189 288/192 274/183\nf 291/193 287/192 273/183 277/185\nf 274/183 288/192 292/193 278/185\nf 291/193 277/185 275/181 289/191\nf 276/181 278/185 292/193 290/191\nf 215/194 217/195 279/187 281/186\nf 280/187 218/195 216/194 282/186\nf 279/187 217/195 213/196 283/188\nf 214/196 218/195 280/187 284/188\nf 207/197 215/194 281/186 313/189\nf 282/186 216/194 208/197 314/189\nf 283/188 213/196 205/198 285/190\nf 206/198 214/196 284/188 286/190\nf 209/199 289/191 285/190 205/198\nf 286/190 290/191 210/199 206/198\nf 211/200 207/197 313/189 287/192\nf 314/189 208/197 212/200 288/192\nf 203/201 211/200 287/192 291/193\nf 288/192 212/200 204/201 292/193\nf 203/201 291/193 289/191 209/199\nf 290/191 292/193 204/201 210/199\nf 315/202 425/203 651/204 433/205\nf 652/204 426/203 316/202 434/205\nf 361/206 433/205 651/204 555/207\nf 652/204 434/205 362/206 556/207\nf 553/208 555/207 651/204 429/209\nf 652/204 556/207 554/208 430/209\nf 431/210 429/209 651/204 425/203\nf 652/204 430/209 432/210 426/203\nf 417/211 649/212 425/203 315/202\nf 426/203 650/212 418/211 316/202\nf 423/213 431/210 425/203 649/212\nf 426/203 432/210 424/213 650/212\nf 431/210 655/214 653/215 429/209\nf 654/215 656/214 432/210 430/209\nf 553/208 429/209 653/215 729/216\nf 654/215 430/209 554/208 730/216\nf 549/217 729/216 653/215 435/218\nf 654/215 730/216 550/217 436/218\nf 317/219 435/218 653/215 655/214\nf 654/215 436/218 318/219 656/214\nf 423/213 597/220 655/214 431/210\nf 656/214 598/220 424/213 432/210\nf 377/221 317/219 655/214 597/220\nf 656/214 318/219 378/221 598/220\nf 439/222 659/223 657/224 437/225\nf 658/224 660/223 440/222 438/225\nf 543/226 437/225 657/224 727/227\nf 658/224 438/225 544/226 728/227\nf 361/206 727/227 657/224 433/205\nf 658/224 728/227 362/206 434/205\nf 315/202 433/205 657/224 659/223\nf 658/224 434/205 316/202 660/223\nf 373/228 591/229 659/223 439/222\nf 660/223 592/229 374/228 440/222\nf 417/211 315/202 659/223 591/229\nf 660/223 316/202 418/211 592/229\nf 317/219 427/230 661/231 435/218\nf 662/231 428/230 318/219 436/218\nf 549/217 435/218 661/231 557/232\nf 662/231 436/218 550/217 558/232\nf 543/226 557/232 661/231 437/225\nf 662/231 558/232 544/226 438/225\nf 439/222 437/225 661/231 427/230\nf 662/231 438/225 440/222 428/230\nf 377/221 573/233 427/230 317/219\nf 428/230 574/233 378/221 318/219\nf 373/228 439/222 427/230 573/233\nf 428/230 440/222 374/228 574/233\nf 405/234 247/160 245/158 441/235\nf 246/158 248/160 406/234 442/235\nf 411/236 441/235 245/158 241/152\nf 246/158 442/235 412/236 242/152\nf 411/236 643/237 663/238 441/235\nf 664/238 644/237 412/236 442/235\nf 405/234 441/235 663/238 635/239\nf 664/238 442/235 406/234 636/239\nf 417/211 635/239 663/238 649/212\nf 664/238 636/239 418/211 650/212\nf 423/213 649/212 663/238 643/237\nf 664/238 650/212 424/213 644/237\nf 411/236 241/152 231/150 641/240\nf 232/150 242/152 412/236 642/240\nf 409/241 641/240 231/150 229/147\nf 232/150 642/240 410/241 230/147\nf 403/242 235/154 219/156 633/243\nf 220/156 236/154 404/242 634/243\nf 405/234 633/243 219/156 247/160\nf 220/156 634/243 406/234 248/160\nf 409/241 229/147 233/146 629/244\nf 234/146 230/147 410/241 630/244\nf 403/242 629/244 233/146 235/154\nf 234/146 630/244 404/242 236/154\nf 319/245 667/246 665/247 455/248\nf 666/247 668/246 320/245 456/248\nf 379/249 455/248 665/247 601/250\nf 666/247 456/248 380/249 602/250\nf 385/251 601/250 665/247 459/252\nf 666/247 602/250 386/251 460/252\nf 461/253 459/252 665/247 667/246\nf 666/247 460/252 462/253 668/246\nf 329/254 493/255 667/246 319/245\nf 668/246 494/255 330/254 320/245\nf 333/256 461/253 667/246 493/255\nf 668/246 462/253 334/256 494/255\nf 321/257 443/258 669/259 457/260\nf 670/259 444/258 322/257 458/260\nf 381/261 457/260 669/259 603/262\nf 670/259 458/260 382/261 604/262\nf 379/249 603/262 669/259 455/248\nf 670/259 604/262 380/249 456/248\nf 319/245 455/248 669/259 443/258\nf 670/259 456/248 320/245 444/258\nf 331/263 495/264 443/258 321/257\nf 444/258 496/264 332/263 322/257\nf 329/254 319/245 443/258 495/264\nf 444/258 320/245 330/254 496/264\nf 465/265 445/266 671/267 463/268\nf 672/267 446/266 466/265 464/268\nf 383/269 463/268 671/267 605/270\nf 672/267 464/268 384/269 606/270\nf 381/261 605/270 671/267 457/260\nf 672/267 606/270 382/261 458/260\nf 321/257 457/260 671/267 445/266\nf 672/267 458/260 322/257 446/266\nf 335/271 497/272 445/266 465/265\nf 446/266 498/272 336/271 466/265\nf 331/263 321/257 445/266 497/272\nf 446/266 322/257 332/263 498/272\nf 335/271 465/265 447/273 499/274\nf 448/273 466/265 336/271 500/274\nf 333/256 499/274 447/273 461/253\nf 448/273 500/274 334/256 462/253\nf 383/269 607/275 673/276 463/268\nf 674/276 608/275 384/269 464/268\nf 465/265 463/268 673/276 447/273\nf 674/276 464/268 466/265 448/273\nf 461/253 447/273 673/276 459/252\nf 674/276 448/273 462/253 460/252\nf 385/251 459/252 673/276 607/275\nf 674/276 460/252 386/251 608/275\nf 323/277 677/278 675/279 467/280\nf 676/279 678/278 324/277 468/280\nf 387/281 467/280 675/279 609/282\nf 676/279 468/280 388/281 610/282\nf 393/283 609/282 675/279 471/284\nf 676/279 610/282 394/283 472/284\nf 473/285 471/284 675/279 677/278\nf 676/279 472/284 474/285 678/278\nf 337/286 501/287 677/278 323/277\nf 678/278 502/287 338/286 324/277\nf 341/288 473/285 677/278 501/287\nf 678/278 474/285 342/288 502/287\nf 325/289 449/290 679/291 469/292\nf 680/291 450/290 326/289 470/292\nf 389/293 469/292 679/291 611/294\nf 680/291 470/292 390/293 612/294\nf 387/281 611/294 679/291 467/280\nf 680/291 612/294 388/281 468/280\nf 323/277 467/280 679/291 449/290\nf 680/291 468/280 324/277 450/290\nf 339/295 503/296 449/290 325/289\nf 450/290 504/296 340/295 326/289\nf 337/286 323/277 449/290 503/296\nf 450/290 324/277 338/286 504/296\nf 477/297 683/298 681/299 475/300\nf 682/299 684/298 478/297 476/300\nf 391/301 475/300 681/299 613/302\nf 682/299 476/300 392/301 614/302\nf 389/293 613/302 681/299 469/292\nf 682/299 614/302 390/293 470/292\nf 325/289 469/292 681/299 683/298\nf 682/299 470/292 326/289 684/298\nf 343/303 505/304 683/298 477/297\nf 684/298 506/304 344/303 478/297\nf 339/295 325/289 683/298 505/304\nf 684/298 326/289 340/295 506/304\nf 473/285 451/305 685/306 471/284\nf 686/306 452/305 474/285 472/284\nf 393/283 471/284 685/306 615/307\nf 686/306 472/284 394/283 616/307\nf 391/301 615/307 685/306 475/300\nf 686/306 616/307 392/301 476/300\nf 477/297 475/300 685/306 451/305\nf 686/306 476/300 478/297 452/305\nf 341/288 507/308 451/305 473/285\nf 452/305 508/308 342/288 474/285\nf 343/303 477/297 451/305 507/308\nf 452/305 478/297 344/303 508/308\nf 481/309 689/310 687/311 479/312\nf 688/311 690/310 482/309 480/312\nf 395/313 479/312 687/311 617/314\nf 688/311 480/312 396/313 618/314\nf 401/315 617/314 687/311 485/316\nf 688/311 618/314 402/315 486/316\nf 487/317 485/316 687/311 689/310\nf 688/311 486/316 488/317 690/310\nf 345/318 509/319 689/310 481/309\nf 690/310 510/319 346/318 482/309\nf 349/320 487/317 689/310 509/319\nf 690/310 488/317 350/320 510/319\nf 327/321 693/322 691/323 483/324\nf 692/323 694/322 328/321 484/324\nf 397/325 483/324 691/323 619/326\nf 692/323 484/324 398/325 620/326\nf 395/313 619/326 691/323 479/312\nf 692/323 620/326 396/313 480/312\nf 481/309 479/312 691/323 693/322\nf 692/323 480/312 482/309 694/322\nf 347/327 511/328 693/322 327/321\nf 694/322 512/328 348/327 328/321\nf 345/318 481/309 693/322 511/328\nf 694/322 482/309 346/318 512/328\nf 491/329 453/330 695/331 489/332\nf 696/331 454/330 492/329 490/332\nf 399/333 489/332 695/331 621/334\nf 696/331 490/332 400/333 622/334\nf 397/325 621/334 695/331 483/324\nf 696/331 622/334 398/325 484/324\nf 327/321 483/324 695/331 453/330\nf 696/331 484/324 328/321 454/330\nf 351/335 513/336 453/330 491/329\nf 454/330 514/336 352/335 492/329\nf 347/327 327/321 453/330 513/336\nf 454/330 328/321 348/327 514/336\nf 487/317 699/337 697/338 485/316\nf 698/338 700/337 488/317 486/316\nf 401/315 485/316 697/338 623/339\nf 698/338 486/316 402/315 624/339\nf 399/333 623/339 697/338 489/332\nf 698/338 624/339 400/333 490/332\nf 491/329 489/332 697/338 699/337\nf 698/338 490/332 492/329 700/337\nf 349/320 515/340 699/337 487/317\nf 700/337 516/340 350/320 488/317\nf 351/335 491/329 699/337 515/340\nf 700/337 492/329 352/335 516/340\nf 593/341 647/342 701/343 517/344\nf 702/343 648/342 594/341 518/344\nf 329/254 517/344 701/343 493/255\nf 702/343 518/344 330/254 494/255\nf 333/256 493/255 701/343 521/345\nf 702/343 494/255 334/256 522/345\nf 599/346 521/345 701/343 647/342\nf 702/343 522/345 600/346 648/342\nf 579/347 741/348 703/349 519/350\nf 704/349 742/348 580/347 520/350\nf 331/263 519/350 703/349 495/264\nf 704/349 520/350 332/263 496/264\nf 329/254 495/264 703/349 517/344\nf 704/349 496/264 330/254 518/344\nf 593/341 517/344 703/349 741/348\nf 704/349 518/344 594/341 742/348\nf 585/351 627/352 705/353 523/354\nf 706/353 628/352 586/351 524/354\nf 335/271 523/354 705/353 497/272\nf 706/353 524/354 336/271 498/272\nf 331/263 497/272 705/353 519/350\nf 706/353 498/272 332/263 520/350\nf 579/347 519/350 705/353 627/352\nf 706/353 520/350 580/347 628/352\nf 335/271 499/274 707/355 523/354\nf 708/355 500/274 336/271 524/354\nf 585/351 523/354 707/355 749/356\nf 708/355 524/354 586/351 750/356\nf 599/346 749/356 707/355 521/345\nf 708/355 750/356 600/346 522/345\nf 333/256 521/345 707/355 499/274\nf 708/355 522/345 334/256 500/274\nf 579/347 627/352 709/357 525/358\nf 710/357 628/352 580/347 526/358\nf 337/286 525/358 709/357 501/287\nf 710/357 526/358 338/286 502/287\nf 341/288 501/287 709/357 529/359\nf 710/357 502/287 342/288 530/359\nf 585/351 529/359 709/357 627/352\nf 710/357 530/359 586/351 628/352\nf 575/360 737/361 711/362 527/363\nf 712/362 738/361 576/360 528/363\nf 339/295 527/363 711/362 503/296\nf 712/362 528/363 340/295 504/296\nf 337/286 503/296 711/362 525/358\nf 712/362 504/296 338/286 526/358\nf 579/347 525/358 711/362 737/361\nf 712/362 526/358 580/347 738/361\nf 407/364 625/365 713/366 531/367\nf 714/366 626/365 408/364 532/367\nf 343/303 531/367 713/366 505/304\nf 714/366 532/367 344/303 506/304\nf 339/295 505/304 713/366 527/363\nf 714/366 506/304 340/295 528/363\nf 575/360 527/363 713/366 625/365\nf 714/366 528/363 576/360 626/365\nf 585/351 745/368 715/369 529/359\nf 716/369 746/368 586/351 530/359\nf 341/288 529/359 715/369 507/308\nf 716/369 530/359 342/288 508/308\nf 343/303 507/308 715/369 531/367\nf 716/369 508/308 344/303 532/367\nf 407/364 531/367 715/369 745/368\nf 716/369 532/367 408/364 746/368\nf 575/360 625/365 717/370 533/371\nf 718/370 626/365 576/360 534/371\nf 345/318 533/371 717/370 509/319\nf 718/370 534/371 346/318 510/319\nf 349/320 509/319 717/370 537/372\nf 718/370 510/319 350/320 538/372\nf 407/364 537/372 717/370 625/365\nf 718/370 538/372 408/364 626/365\nf 413/373 733/374 719/375 535/376\nf 720/375 734/374 414/373 536/376\nf 347/327 535/376 719/375 511/328\nf 720/375 536/376 348/327 512/328\nf 345/318 511/328 719/375 533/371\nf 720/375 512/328 346/318 534/371\nf 575/360 533/371 719/375 733/374\nf 720/375 534/371 576/360 734/374\nf 419/377 753/378 721/379 539/380\nf 722/379 754/378 420/377 540/380\nf 351/335 539/380 721/379 513/336\nf 722/379 540/380 352/335 514/336\nf 347/327 513/336 721/379 535/376\nf 722/379 514/336 348/327 536/376\nf 413/373 535/376 721/379 753/378\nf 722/379 536/376 414/373 754/378\nf 407/364 637/381 723/382 537/372\nf 724/382 638/381 408/364 538/372\nf 349/320 537/372 723/382 515/340\nf 724/382 538/372 350/320 516/340\nf 351/335 515/340 723/382 539/380\nf 724/382 516/340 352/335 540/380\nf 419/377 539/380 723/382 637/381\nf 724/382 540/380 420/377 638/381\nf 355/383 541/384 725/385 547/386\nf 726/385 542/384 356/383 548/386\nf 357/387 547/386 725/385 551/388\nf 726/385 548/386 358/387 552/388\nf 359/389 551/388 725/385 545/390\nf 726/385 552/388 360/389 546/390\nf 353/391 545/390 725/385 541/384\nf 726/385 546/390 354/391 542/384\nf 355/383 549/217 557/232 541/384\nf 558/232 550/217 356/383 542/384\nf 353/391 541/384 557/232 543/226\nf 558/232 542/384 354/391 544/226\nf 353/391 543/226 727/227 545/390\nf 728/227 544/226 354/391 546/390\nf 359/389 545/390 727/227 361/206\nf 728/227 546/390 360/389 362/206\nf 357/387 553/208 729/216 547/386\nf 730/216 554/208 358/387 548/386\nf 355/383 547/386 729/216 549/217\nf 730/216 548/386 356/383 550/217\nf 359/389 361/206 555/207 551/388\nf 556/207 362/206 360/389 552/388\nf 357/387 551/388 555/207 553/208\nf 556/207 552/388 358/387 554/208\nf 363/392 559/393 731/394 577/395\nf 732/394 560/393 364/392 578/395\nf 403/242 577/395 731/394 631/396\nf 732/394 578/395 404/242 632/396\nf 415/397 631/396 731/394 589/398\nf 732/394 632/396 416/397 590/398\nf 371/399 589/398 731/394 559/393\nf 732/394 590/398 372/399 560/393\nf 363/392 575/360 733/374 559/393\nf 734/374 576/360 364/392 560/393\nf 371/399 559/393 733/374 413/373\nf 734/374 560/393 372/399 414/373\nf 365/400 561/401 735/402 581/403\nf 736/402 562/401 366/400 582/403\nf 405/234 581/403 735/402 633/243\nf 736/402 582/403 406/234 634/243\nf 403/242 633/243 735/402 577/395\nf 736/402 634/243 404/242 578/395\nf 363/392 577/395 735/402 561/401\nf 736/402 578/395 364/392 562/401\nf 365/400 579/347 737/361 561/401\nf 738/361 580/347 366/400 562/401\nf 363/392 561/401 737/361 575/360\nf 738/361 562/401 364/392 576/360\nf 373/228 563/404 739/405 591/229\nf 740/405 564/404 374/228 592/229\nf 417/211 591/229 739/405 635/239\nf 740/405 592/229 418/211 636/239\nf 405/234 635/239 739/405 581/403\nf 740/405 636/239 406/234 582/403\nf 365/400 581/403 739/405 563/404\nf 740/405 582/403 366/400 564/404\nf 373/228 593/341 741/348 563/404\nf 742/348 594/341 374/228 564/404\nf 365/400 563/404 741/348 579/347\nf 742/348 564/404 366/400 580/347\nf 367/406 565/407 637/381 407/364\nf 638/381 566/407 368/406 408/364\nf 375/408 419/377 637/381 565/407\nf 638/381 420/377 376/408 566/407\nf 409/241 639/409 743/410 583/411\nf 744/410 640/409 410/241 584/411\nf 367/406 583/411 743/410 565/407\nf 744/410 584/411 368/406 566/407\nf 375/408 565/407 743/410 595/412\nf 744/410 566/407 376/408 596/412\nf 421/413 595/412 743/410 639/409\nf 744/410 596/412 422/413 640/409\nf 369/414 567/415 745/368 585/351\nf 746/368 568/415 370/414 586/351\nf 367/406 407/364 745/368 567/415\nf 746/368 408/364 368/406 568/415\nf 411/236 641/240 747/416 587/417\nf 748/416 642/240 412/236 588/417\nf 369/414 587/417 747/416 567/415\nf 748/416 588/417 370/414 568/415\nf 367/406 567/415 747/416 583/411\nf 748/416 568/415 368/406 584/411\nf 409/241 583/411 747/416 641/240\nf 748/416 584/411 410/241 642/240\nf 369/414 585/351 749/356 569/418\nf 750/356 586/351 370/414 570/418\nf 377/221 569/418 749/356 599/346\nf 750/356 570/418 378/221 600/346\nf 423/213 643/237 751/419 597/220\nf 752/419 644/237 424/213 598/220\nf 377/221 597/220 751/419 569/418\nf 752/419 598/220 378/221 570/418\nf 369/414 569/418 751/419 587/417\nf 752/419 570/418 370/414 588/417\nf 411/236 587/417 751/419 643/237\nf 752/419 588/417 412/236 644/237\nf 375/408 571/420 753/378 419/377\nf 754/378 572/420 376/408 420/377\nf 371/399 413/373 753/378 571/420\nf 754/378 414/373 372/399 572/420\nf 421/413 645/421 755/422 595/412\nf 756/422 646/421 422/413 596/412\nf 375/408 595/412 755/422 571/420\nf 756/422 596/412 376/408 572/420\nf 371/399 571/420 755/422 589/398\nf 756/422 572/420 372/399 590/398\nf 415/397 589/398 755/422 645/421\nf 756/422 590/398 416/397 646/421\nf 373/228 573/233 647/342 593/341\nf 648/342 574/233 374/228 594/341\nf 377/221 599/346 647/342 573/233\nf 648/342 600/346 378/221 574/233\nf 379/249 601/250 757/423 603/262\nf 758/423 602/250 380/249 604/262\nf 381/261 603/262 757/423 605/270\nf 758/423 604/262 382/261 606/270\nf 383/269 605/270 757/423 607/275\nf 758/423 606/270 384/269 608/275\nf 385/251 607/275 757/423 601/250\nf 758/423 608/275 386/251 602/250\nf 387/281 609/282 759/424 611/294\nf 760/424 610/282 388/281 612/294\nf 389/293 611/294 759/424 613/302\nf 760/424 612/294 390/293 614/302\nf 391/301 613/302 759/424 615/307\nf 760/424 614/302 392/301 616/307\nf 393/283 615/307 759/424 609/282\nf 760/424 616/307 394/283 610/282\nf 395/313 617/314 761/425 619/326\nf 762/425 618/314 396/313 620/326\nf 397/325 619/326 761/425 621/334\nf 762/425 620/326 398/325 622/334\nf 399/333 621/334 761/425 623/339\nf 762/425 622/334 400/333 624/339\nf 401/315 623/339 761/425 617/314\nf 762/425 624/339 402/315 618/314\nf 409/241 629/244 763/426 639/409\nf 764/426 630/244 410/241 640/409\nf 421/413 639/409 763/426 645/421\nf 764/426 640/409 422/413 646/421\nf 415/397 645/421 763/426 631/396\nf 764/426 646/421 416/397 632/396\nf 403/242 631/396 763/426 629/244\nf 764/426 632/396 404/242 630/244\nf 769/427 838/428 780/429 778/430\nf 781/429 775/428 770/427 779/430\nf 769/427 778/430 776/431 771/432\nf 777/431 779/430 770/427 772/432\nf 778/430 780/429 782/433 796/434\nf 783/433 781/429 779/430 797/434\nf 776/431 778/430 796/434 784/435\nf 797/434 779/430 777/431 785/435\nf 782/433 802/436 800/437 796/434\nf 801/437 803/436 783/433 797/434\nf 784/435 796/434 800/437 798/438\nf 801/437 797/434 785/435 799/438\nf 771/432 776/431 835/439 773/440\nf 836/439 777/431 772/432 774/440\nf 776/431 784/435 804/441 835/439\nf 805/441 785/435 777/431 836/439\nf 792/442 806/443 798/438 800/437\nf 799/438 807/443 793/442 801/437\nf 792/442 794/444 816/445 814/446\nf 817/445 795/444 793/442 815/446\nf 786/447 806/443 792/442 814/446\nf 793/442 807/443 787/447 815/446\nf 786/447 814/446 818/448 788/449\nf 819/448 815/446 787/447 789/449\nf 786/447 822/450 808/451 806/443\nf 809/451 823/450 787/447 807/443\nf 786/447 788/449 820/452 822/450\nf 821/452 789/449 787/447 823/450\nf 808/451 822/450 826/453 810/454\nf 827/453 823/450 809/451 811/454\nf 820/452 824/455 826/453 822/450\nf 827/453 825/455 821/452 823/450\nf 810/454 826/453 839/456 812/457\nf 828/456 827/453 811/454 813/457\nf 824/455 829/458 839/456 826/453\nf 828/456 830/458 825/455 827/453\nf 784/435 798/438 831/459 804/441\nf 832/459 799/438 785/435 805/441\nf 798/438 806/443 808/451 831/459\nf 809/451 807/443 799/438 832/459\nf 808/451 810/454 833/460 831/459\nf 834/460 811/454 809/451 832/459\nf 804/441 831/459 833/460 835/439\nf 834/460 832/459 805/441 836/439\nf 810/454 812/457 840/461 833/460\nf 837/461 813/457 811/454 834/460\nf 772/432 770/427 769/427 771/432\nf 771/432 773/440 774/440 772/432\nf 838/428 769/427 770/427 775/428\nf 812/457 839/456 828/456 813/457\nf 839/456 829/458 830/458 828/456\nf 773/440 840/461 837/461 774/440\nf 840/461 812/457 813/457 837/461\nf 792/442 800/437 802/436 794/444\nf 803/436 801/437 793/442 795/444\nf 841/462 843/463 845/464 847/465\nf 846/464 844/463 842/462 848/465\nf 782/433 845/464 843/463 802/436\nf 844/463 846/464 783/433 803/436\nf 847/465 848/465 842/462 841/462\nf 820/452 851/466 134/467 824/455\nf 853/467 852/466 821/452 825/455\nf 788/449 849/468 851/466 820/452\nf 852/466 850/468 789/449 821/452\nf 860/469 862/470 868/471 866/472\nf 869/471 863/470 861/469 867/472\nf 858/473 860/469 866/472 864/474\nf 867/472 861/469 859/473 865/474\nf 854/475 858/473 864/474 856/476\nf 865/474 859/473 855/475 857/476\nf 862/470 870/477 872/478 868/471\nf 873/478 871/477 863/470 869/471\nf 870/477 874/479 877/480 872/478\nf 876/480 875/479 871/477 873/478\nf 874/479 875/479 876/480 877/480\nf 872/478 877/480 881/481 879/482\nf 878/481 876/480 873/478 880/482\nf 881/481 877/480 876/480 878/481\nf 882/483 881/481 878/481 883/483\nf 881/481 882/483 884/484 879/482\nf 885/484 883/483 878/481 880/482\nf 868/471 872/478 879/482 886/485\nf 880/482 873/478 869/471 887/485\nf 866/472 868/471 886/485 899/486\nf 887/485 869/471 867/472 900/486\nf 879/482 884/484 899/486 886/485\nf 900/486 885/484 880/482 887/485\nf 864/474 866/472 899/486 897/487\nf 900/486 867/472 865/474 898/487\nf 856/476 864/474 897/487 891/488\nf 898/487 865/474 857/476 892/488\nf 893/489 903/490 901/491 895/492\nf 902/491 904/490 894/489 896/492\nf 901/491 903/490 905/493 907/494\nf 906/493 904/490 902/491 908/494\nf 888/495 909/496 907/494 905/493\nf 908/494 910/496 889/495 906/493\nf 888/495 933/497 911/498 909/496\nf 912/498 890/497 889/495 910/496\nf 901/491 907/494 913/499 920/500\nf 914/499 908/494 902/491 921/500\nf 907/494 909/496 915/501 913/499\nf 916/501 910/496 908/494 914/499\nf 909/496 911/498 934/502 915/501\nf 917/502 912/498 910/496 916/501\nf 895/492 901/491 920/500 918/503\nf 921/500 902/491 896/492 919/503\nf 849/468 856/476 891/488 851/466\nf 892/488 857/476 850/468 852/466\nf 922/504 133/505 926/506 924/507\nf 927/506 928/505 923/504 925/507\nf 926/506 133/505 929/508 931/509\nf 930/508 928/505 927/506 932/509\nf 918/503 920/500 931/509 929/508\nf 932/509 921/500 919/503 930/508\nf 924/507 925/507 923/504 922/504\nf 933/497 890/497 912/498 911/498\nf 911/498 912/498 917/502 934/502\nf 913/499 935/510 931/509 920/500\nf 932/509 936/510 914/499 921/500\nf 913/499 915/501 937/511 935/510\nf 938/511 916/501 914/499 936/510\nf 926/506 931/509 935/510 937/511\nf 936/510 932/509 927/506 938/511\nf 924/507 926/506 937/511 939/512\nf 938/511 927/506 925/507 940/512\nf 915/501 934/502 939/512 937/511\nf 940/512 917/502 916/501 938/511\nf 939/512 940/512 925/507 924/507\nf 939/512 934/502 917/502 940/512\nf 944/513 941/513 132/514 130/514\nf 942/515 131/515 941/513 944/513\nf 942/515 922/504 923/504 131/515\nf 882/483 954/516 945/517 884/484\nf 946/517 947/516 883/483 885/484\nf 954/516 933/497 888/495 945/517\nf 889/495 890/497 947/516 946/517\nf 899/486 952/518 950/519 897/487\nf 951/519 953/518 900/486 898/487\nf 952/518 905/493 903/490 950/519\nf 904/490 906/493 953/518 951/519\nf 884/484 945/517 952/518 899/486\nf 953/518 946/517 885/484 900/486\nf 945/517 888/495 905/493 952/518\nf 906/493 889/495 946/517 953/518\nf 897/487 950/519 948/520 891/488\nf 949/520 951/519 898/487 892/488\nf 950/519 903/490 893/489 948/520\nf 894/489 904/490 951/519 949/520\nf 947/516 954/516 882/483 883/483\nf 890/497 933/497 954/516 947/516\nf 129/521 128/521 830/458 829/458\nf 824/455 134/467 129/521 829/458\nf 128/521 853/467 825/455 830/458\nf 955/522 128/521 129/521 943/522\nf 943/522 130/514 132/514 955/522\nf 833/460 840/461 773/440 835/439\nf 774/440 837/461 834/460 836/439\nf 854/475 958/523 956/524 858/473\nf 957/524 959/523 855/475 859/473\nf 956/524 958/523 966/525 960/526\nf 967/525 959/523 957/524 961/526\nf 960/526 966/525 968/527 962/528\nf 969/527 967/525 961/526 963/528\nf 962/528 968/527 970/529 964/530\nf 971/529 969/527 963/528 965/530\nf 858/473 956/524 980/531 860/469\nf 981/531 957/524 859/473 861/469\nf 956/524 960/526 982/532 980/531\nf 983/532 961/526 957/524 981/531\nf 962/528 964/530 986/533 984/534\nf 987/533 965/530 963/528 985/534\nf 960/526 962/528 984/534 982/532\nf 985/534 963/528 961/526 983/532\nf 986/533 1079/535 1093/536 990/537\nf 1094/536 1080/535 987/533 991/537\nf 984/534 986/533 990/537 988/538\nf 991/537 987/533 985/534 989/538\nf 982/532 984/534 988/538 862/470\nf 989/538 985/534 983/532 863/470\nf 862/470 988/538 992/539 870/477\nf 993/539 989/538 863/470 871/477\nf 988/538 990/537 994/540 992/539\nf 995/540 991/537 989/538 993/539\nf 870/477 992/539 994/540 874/479\nf 995/540 993/539 871/477 875/479\nf 994/540 995/540 875/479 874/479\nf 860/469 980/531 982/532 862/470\nf 983/532 981/531 861/469 863/470\nf 814/446 816/445 1014/541 818/448\nf 1015/541 817/445 815/446 819/448\nf 794/444 998/542 996/543 816/445\nf 997/543 999/542 795/444 817/445\nf 794/444 802/436 843/463 998/542\nf 844/463 803/436 795/444 999/542\nf 841/462 1002/544 998/542 843/463\nf 999/542 1000/544 842/462 844/463\nf 996/543 998/542 1002/544 1003/545\nf 1000/544 999/542 997/543 1001/545\nf 1002/544 841/462 842/462 1000/544\nf 1003/545 1002/544 1000/544 1001/545\nf 788/449 818/448 1004/546 849/468\nf 1005/546 819/448 789/449 850/468\nf 849/468 1004/546 854/475 856/476\nf 855/475 1005/546 850/468 857/476\nf 854/475 1004/546 1006/547 958/523\nf 1007/547 1005/546 855/475 959/523\nf 958/523 1006/547 1008/548 966/525\nf 1009/548 1007/547 959/523 967/525\nf 966/525 1008/548 1010/549 968/527\nf 1011/549 1009/548 967/525 969/527\nf 968/527 1010/549 1012/550 970/529\nf 1013/550 1011/549 969/527 971/529\nf 970/529 1012/550 978/551 1131/552\nf 979/551 1013/550 971/529 1132/552\nf 818/448 1014/541 1006/547 1004/546\nf 1007/547 1015/541 819/448 1005/546\nf 1006/547 1014/541 1016/553 1008/548\nf 1017/553 1015/541 1007/547 1009/548\nf 1008/548 1016/553 1018/554 1010/549\nf 1019/554 1017/553 1009/548 1011/549\nf 1010/549 1018/554 1020/555 1012/550\nf 1021/555 1019/554 1011/549 1013/550\nf 978/551 1012/550 1020/555 1022/556\nf 1021/555 1013/550 979/551 1023/556\nf 972/557 978/551 1022/556 1054/558\nf 1023/556 979/551 973/557 1055/558\nf 972/557 1054/558 1024/559 974/560\nf 1025/559 1055/558 973/557 975/560\nf 974/560 1024/559 1026/561 976/562\nf 1027/561 1025/559 975/560 977/562\nf 976/562 1026/561 1050/563 1029/564\nf 1051/563 1027/561 977/562 1028/564\nf 1050/563 1051/563 1028/564 1029/564\nf 990/537 1093/536 1150/565 994/540\nf 1151/565 1094/536 991/537 995/540\nf 1150/565 1151/565 995/540 994/540\nf 780/429 1030/566 845/464 782/433\nf 846/464 1031/566 781/429 783/433\nf 838/428 1033/567 1030/566 780/429\nf 1031/566 1032/567 775/428 781/429\nf 845/464 1030/566 1033/567 847/465\nf 1032/567 1031/566 846/464 848/465\nf 1033/567 838/428 775/428 1032/567\nf 1033/567 1032/567 848/465 847/465\nf 974/560 976/562 1036/568 1038/569\nf 1037/568 977/562 975/560 1039/569\nf 1034/570 1042/571 1038/569 1036/568\nf 1039/569 1040/571 1035/570 1037/568\nf 1034/570 1035/570 1040/571 1042/571\nf 1042/571 1040/571 1041/572 1043/572\nf 1034/570 1029/564 1028/564 1035/570\nf 976/562 1029/564 1034/570 1036/568\nf 1035/570 1028/564 977/562 1037/568\nf 996/543 1003/545 1046/573 1044/574\nf 1047/573 1001/545 997/543 1045/574\nf 1046/573 1003/545 1001/545 1047/573\nf 816/445 996/543 1044/574 1014/541\nf 1045/574 997/543 817/445 1015/541\nf 1048/575 1046/573 1047/573 1049/575\nf 1050/563 1048/575 1049/575 1051/563\nf 1026/561 1052/576 1048/575 1050/563\nf 1049/575 1053/576 1027/561 1051/563\nf 1024/559 1054/558 1052/576 1026/561\nf 1053/576 1055/558 1025/559 1027/561\nf 1044/574 1046/573 1048/575 1052/576\nf 1049/575 1047/573 1045/574 1053/576\nf 1014/541 1020/555 1018/554 1016/553\nf 1019/554 1021/555 1015/541 1017/553\nf 1022/556 1044/574 1052/576 1054/558\nf 1053/576 1045/574 1023/556 1055/558\nf 1014/541 1044/574 1022/556 1020/555\nf 1023/556 1045/574 1015/541 1021/555\nf 1131/552 978/551 972/557 1152/577\nf 973/557 979/551 1132/552 1153/577\nf 972/557 974/560 1038/569 1056/578\nf 1039/569 975/560 973/557 1057/578\nf 972/557 1056/578 1095/579 1152/577\nf 1096/579 1057/578 973/557 1153/577\nf 1038/569 1042/571 1043/572 1056/578\nf 1041/572 1040/571 1039/569 1057/578\nf 1043/572 1154/580 1095/579 1056/578\nf 1096/579 1155/580 1041/572 1057/578\nf 1154/580 1043/572 1041/572 1155/580\nf 1139/581 1089/582 216/583 218/584\nf 215/583 1090/582 1140/581 217/584\nf 1156/585 1195/586 1091/587 1087/588\nf 1092/587 1196/586 1157/585 1088/588\nf 1097/589 1058/590 1105/591 1160/592\nf 1106/591 1059/590 1098/589 1161/592\nf 1099/593 1162/594 1105/591 1058/590\nf 1106/591 1163/594 1158/593 1059/590\nf 1162/594 1099/593 1158/593 1163/594\nf 1100/595 1097/589 1160/592 1060/596\nf 1161/592 1098/589 1101/595 1061/596\nf 1102/597 1100/595 1060/596 1062/598\nf 1061/596 1101/595 1103/597 1063/598\nf 1164/599 1165/599 1159/600 1104/600\nf 1104/600 1102/597 1062/598 1164/599\nf 1063/598 1103/597 1159/600 1165/599\nf 1160/592 1105/591 1064/601 1166/602\nf 1065/601 1106/591 1161/592 1167/602\nf 1162/594 1107/603 1064/601 1105/591\nf 1065/601 1108/603 1163/594 1106/591\nf 1107/603 1162/594 1163/594 1108/603\nf 1060/596 1160/592 1166/602 1109/604\nf 1167/602 1161/592 1061/596 1110/604\nf 1062/598 1060/596 1109/604 1168/605\nf 1110/604 1061/596 1063/598 1169/605\nf 1111/606 1170/606 1165/599 1164/599\nf 1164/599 1062/598 1168/605 1111/606\nf 1169/605 1063/598 1165/599 1170/606\nf 1166/602 1064/601 1114/607 1066/608\nf 1115/607 1065/601 1167/602 1067/608\nf 1107/603 1112/609 1114/607 1064/601\nf 1115/607 1113/609 1108/603 1065/601\nf 1112/609 1107/603 1108/603 1113/609\nf 1109/604 1166/602 1066/608 1171/610\nf 1067/608 1167/602 1110/604 1172/610\nf 1168/605 1109/604 1171/610 1068/611\nf 1172/610 1110/604 1169/605 1069/611\nf 1116/612 1117/612 1170/606 1111/606\nf 1111/606 1168/605 1068/611 1116/612\nf 1069/611 1169/605 1170/606 1117/612\nf 1066/608 1114/607 1118/613 1173/614\nf 1119/613 1115/607 1067/608 1174/614\nf 1171/610 1066/608 1173/614 1070/615\nf 1174/614 1067/608 1172/610 1071/615\nf 1068/611 1171/610 1070/615 1073/616\nf 1071/615 1172/610 1069/611 1074/616\nf 1072/617 1120/617 1117/612 1116/612\nf 1116/612 1068/611 1073/616 1072/617\nf 1074/616 1069/611 1117/612 1120/617\nf 1173/614 1118/613 1075/618 143/619\nf 1228/618 1119/613 1174/614 142/619\nf 1070/615 1173/614 143/619 1202/620\nf 142/619 1174/614 1071/615 1203/620\nf 1073/616 1070/615 1202/620 1205/621\nf 1203/620 1071/615 1074/616 1206/621\nf 1175/622 1176/622 1120/617 1072/617\nf 1072/617 1073/616 1205/621 1175/622\nf 1206/621 1074/616 1120/617 1176/622\nf 1177/623 143/619 1075/618 1227/624\nf 1228/618 142/619 1178/623 1226/624\nf 1179/625 1180/625 1176/622 1175/622\nf 1175/622 1205/621 1204/626 1179/625\nf 138/626 1206/621 1176/622 1180/625\nf 139/627 1125/627 1180/625 1179/625\nf 141/628 1177/623 1227/624 1121/629\nf 1226/624 1178/623 140/628 1122/629\nf 1078/630 1128/630 1125/627 139/627\nf 139/627 1123/631 1076/632 1078/630\nf 1077/632 1124/631 1125/627 1128/630\nf 1185/633 141/628 1121/629 1081/634\nf 1122/629 140/628 1186/633 1082/634\nf 1185/633 1083/635 1207/636 141/628\nf 137/636 1084/635 1186/633 140/628\nf 1181/637 1126/638 1207/636 1083/635\nf 137/636 1127/638 1182/637 1084/635\nf 1181/637 1085/639 1076/632 1126/638\nf 1077/632 1086/639 1182/637 1127/638\nf 1183/640 1078/630 1076/632 1085/639\nf 1077/632 1128/630 1184/640 1086/639\nf 1078/630 1183/640 1184/640 1128/630\nf 1185/633 1081/634 1139/581 218/584\nf 1140/581 1082/634 1186/633 217/584\nf 1189/641 1129/642 216/583 1089/582\nf 215/583 1130/642 1190/641 1090/582\nf 1189/641 1093/536 1079/535 1129/642\nf 1080/535 1094/536 1190/641 1130/642\nf 1133/643 1137/644 1139/581 1081/634\nf 1140/581 1138/644 1134/643 1082/634\nf 1137/644 1133/643 1134/643 1138/644\nf 1191/645 1181/637 1083/635 214/646\nf 1084/635 1182/637 1192/645 213/646\nf 1191/645 1135/647 1085/639 1181/637\nf 1086/639 1136/647 1192/645 1182/637\nf 1191/645 1156/585 1087/588 1135/647\nf 1088/588 1157/585 1192/645 1136/647\nf 1193/648 1183/640 1085/639 1135/647\nf 1086/639 1184/640 1194/648 1136/647\nf 1193/648 1135/647 1087/588 1142/649\nf 1088/588 1136/647 1194/648 1141/649\nf 1137/644 1146/650 1089/582 1139/581\nf 1090/582 1147/650 1138/644 1140/581\nf 1146/650 1137/644 1138/644 1147/650\nf 1144/651 1143/651 1141/649 1142/649\nf 1142/649 1087/588 1091/587 1144/651\nf 1092/587 1088/588 1141/649 1143/651\nf 1146/650 1147/650 1197/652 1145/652\nf 1145/652 1189/641 1089/582 1146/650\nf 1090/582 1190/641 1197/652 1147/650\nf 1145/652 1150/565 1093/536 1189/641\nf 1094/536 1151/565 1197/652 1190/641\nf 1150/565 1145/652 1197/652 1151/565\nf 1198/653 1195/586 212/654 1187/655\nf 211/654 1196/586 1199/653 1188/655\nf 1198/653 1148/656 1091/587 1195/586\nf 1092/587 1149/656 1199/653 1196/586\nf 1198/653 1152/577 1095/579 1148/656\nf 1096/579 1153/577 1199/653 1149/656\nf 1198/653 1187/655 1131/552 1152/577\nf 1132/552 1188/655 1199/653 1153/577\nf 1200/657 1144/651 1091/587 1148/656\nf 1092/587 1143/651 1201/657 1149/656\nf 1144/651 1200/657 1201/657 1143/651\nf 1154/580 1155/580 1201/657 1200/657\nf 1200/657 1148/656 1095/579 1154/580\nf 1096/579 1149/656 1201/657 1155/580\nf 218/584 214/646 1083/635 1185/633\nf 1084/635 213/646 217/584 1186/633\nf 212/654 208/658 1210/659 1187/655\nf 1211/659 207/658 211/654 1188/655\nf 208/658 216/583 1129/642 1210/659\nf 1130/642 215/583 207/658 1211/659\nf 1187/655 1210/659 1208/660 1131/552\nf 1209/660 1211/659 1188/655 1132/552\nf 1210/659 1129/642 1079/535 1208/660\nf 1080/535 1130/642 1211/659 1209/660\nf 964/530 1208/660 1079/535 986/533\nf 1080/535 1209/660 965/530 987/533\nf 964/530 970/529 1131/552 1208/660\nf 1132/552 971/529 965/530 1209/660\nf 139/627 1179/625 1204/626\nf 138/626 1180/625 1125/627\nf 1076/632 1123/631 1126/638\nf 1127/638 1124/631 1077/632\nf 1123/631 1207/636 1126/638\nf 1127/638 137/636 1124/631\nf 1102/597 1104/600 1214/661 1212/662\nf 1215/661 1159/600 1103/597 1213/662\nf 1100/595 1102/597 1212/662 1216/663\nf 1213/662 1103/597 1101/595 1217/663\nf 1099/593 1058/590 1218/664 1220/665\nf 1219/664 1059/590 1158/593 1221/665\nf 1097/589 1100/595 1216/663 1222/666\nf 1217/663 1101/595 1098/589 1223/666\nf 1214/661 1104/600 1159/600 1215/661\nf 1221/665 1158/593 1099/593 1220/665\nf 1058/590 1097/589 1222/666 1218/664\nf 1223/666 1098/589 1059/590 1219/664\nf 1218/664 1222/666 1216/663 1212/662\nf 1217/663 1223/666 1219/664 1213/662\nf 1218/664 1212/662 1214/661 1220/665\nf 1215/661 1213/662 1219/664 1221/665\nf 1215/661 1221/665 1220/665 1214/661\nf 206/667 1156/585 1191/645\nf 1192/645 1157/585 205/667\nf 214/646 206/667 1191/645\nf 1192/645 205/667 213/646\nf 206/667 210/668 1156/585\nf 1157/585 209/668 205/667\nf 204/669 1195/586 1156/585\nf 1157/585 1196/586 203/669\nf 210/668 204/669 1156/585\nf 1157/585 203/669 209/668\nf 204/669 212/654 1195/586\nf 1196/586 211/654 203/669\nf 1230/670 1121/629 1227/624\nf 1226/624 1122/629 765/670\nf 1230/670 1229/671 1081/634 1121/629\nf 1082/634 766/671 765/670 1122/629\nf 1112/609 1113/609 768/672 1225/672\nf 1225/672 1075/618 1114/607 1112/609\nf 1115/607 1228/618 768/672 1113/609\nf 1075/618 1118/613 1114/607\nf 1115/607 1119/613 1228/618\nf 1133/643 1224/673 767/673 1134/643\nf 1229/671 1224/673 1133/643 1081/634\nf 1134/643 767/673 766/671 1082/634\nf 1183/640 1193/648 1194/648 1184/640\nf 1141/649 1194/648 1193/648 1142/649\nf 1231/674 1243/675 1256/676 1239/677\nf 1231/674 1242/678 1260/679 1243/675\nf 1231/674 1241/680 1259/681 1242/678\nf 1231/674 1239/677 1255/682 1241/680\nf 1261/676 1250/677 1232/683 1244/674\nf 1260/681 1244/674 1232/683 1243/680\nf 1256/682 1243/680 1232/683 1250/677\nf 1257/676 1249/674 1233/684 1246/675\nf 1262/679 1246/675 1233/684 1245/678\nf 1261/681 1245/678 1233/684 1249/674\nf 1258/676 1240/677 1234/674 1248/675\nf 1234/674 1247/678 1263/679 1248/675\nf 1262/681 1247/678 1234/674 1246/680\nf 1257/682 1246/680 1234/674 1240/677\nf 1256/685 1250/686 1235/687 1251/688\nf 1257/689 1251/688 1235/687 1249/690\nf 1261/691 1249/690 1235/687 1250/686\nf 1260/685 1252/686 1236/687 1244/688\nf 1261/689 1244/688 1236/687 1245/690\nf 1262/691 1245/690 1236/687 1252/686\nf 1259/685 1253/692 1237/686 1242/688\nf 1260/689 1242/688 1237/686 1252/690\nf 1262/691 1252/690 1237/686 1247/693\nf 1237/686 1253/692 1263/694 1247/693\nf 1255/685 1239/688 1238/686 1254/692\nf 1258/694 1254/692 1238/686 1240/693\nf 1257/691 1240/693 1238/686 1251/690\nf 1256/689 1251/690 1238/686 1239/688\nf 1289/686 1276/690 1271/689 1288/688\nf 1289/686 1287/693 1270/691 1276/690\nf 1289/686 1273/692 1269/694 1287/693\nf 1289/686 1288/688 1272/685 1273/692\nf 1290/686 1280/693 1264/694 1274/692\nf 1290/686 1275/690 1265/691 1280/693\nf 1290/686 1285/688 1267/689 1275/690\nf 1290/686 1274/692 1268/685 1285/688\nf 1291/687 1282/690 1265/691 1275/686\nf 1291/687 1283/688 1266/689 1282/690\nf 1291/687 1275/686 1267/685 1283/688\nf 1292/687 1278/690 1266/691 1277/686\nf 1292/687 1276/688 1270/689 1278/690\nf 1292/687 1277/686 1271/685 1276/688\nf 1293/674 1281/680 1270/682 1287/677\nf 1293/674 1280/678 1265/681 1281/680\nf 1293/674 1279/675 1264/679 1280/678\nf 1293/674 1287/677 1269/676 1279/675\nf 1294/684 1282/678 1266/681 1278/674\nf 1294/684 1281/675 1265/679 1282/678\nf 1294/684 1278/674 1270/676 1281/675\nf 1295/683 1284/680 1271/682 1277/677\nf 1295/683 1283/674 1267/681 1284/680\nf 1295/683 1277/677 1266/676 1283/674\nf 1296/674 1286/680 1272/682 1288/677\nf 1296/674 1285/678 1268/681 1286/680\nf 1296/674 1284/675 1267/679 1285/678\nf 1296/674 1288/677 1271/676 1284/675\nf 1322/676 1305/677 1297/674 1309/675\nf 1326/679 1309/675 1297/674 1308/678\nf 1325/681 1308/678 1297/674 1307/680\nf 1321/682 1307/680 1297/674 1305/677\nf 1327/676 1316/677 1298/683 1310/674\nf 1326/681 1310/674 1298/683 1309/680\nf 1322/682 1309/680 1298/683 1316/677\nf 1323/676 1315/674 1299/684 1312/675\nf 1328/679 1312/675 1299/684 1311/678\nf 1327/681 1311/678 1299/684 1315/674\nf 1324/695 1306/696 1300/697 1314/698\nf 1300/697 1313/699 1329/700 1314/698\nf 1328/701 1313/699 1300/697 1312/702\nf 1323/703 1312/702 1300/697 1306/696\nf 1322/685 1316/686 1301/687 1317/688\nf 1323/689 1317/688 1301/687 1315/690\nf 1327/691 1315/690 1301/687 1316/686\nf 1326/685 1318/686 1302/687 1310/688\nf 1327/689 1310/688 1302/687 1311/690\nf 1328/691 1311/690 1302/687 1318/686\nf 1325/685 1319/692 1303/686 1308/688\nf 1326/689 1308/688 1303/686 1318/690\nf 1328/691 1318/690 1303/686 1313/693\nf 1303/686 1319/692 1329/694 1313/693\nf 1321/685 1305/688 1304/686 1320/692\nf 1324/694 1320/692 1304/686 1306/693\nf 1323/691 1306/693 1304/686 1317/690\nf 1322/689 1317/690 1304/686 1305/688\nf 1339/704 1372/705 1442/706 1370/707\nf 1443/706 1373/705 1340/704 1371/707\nf 1339/704 1444/705 1446/706 1372/707\nf 1447/706 1445/705 1340/704 1373/707\nf 1341/704 1339/705 1370/706 1378/707\nf 1371/706 1340/705 1342/704 1379/707\nf 1444/704 1339/705 1341/706 1376/707\nf 1342/706 1340/705 1445/704 1377/707\nf 1341/704 1380/705 1448/706 1376/707\nf 1449/706 1381/705 1342/704 1377/707\nf 1341/704 1378/705 1450/706 1380/707\nf 1451/706 1379/705 1342/704 1381/707\nf 1457/704 1392/705 1440/706 1369/707\nf 1494/706 1393/705 1458/704 1487/707\nf 1343/704 1394/705 1392/706 1457/707\nf 1393/706 1395/705 1344/704 1458/707\nf 1343/704 1370/705 1442/706 1394/707\nf 1443/706 1371/705 1344/704 1395/707\nf 1414/704 1495/705 1441/706 1398/707\nf 1497/706 1496/705 1415/704 1399/707\nf 1396/704 1400/705 1446/706 1444/707\nf 1447/706 1401/705 1397/704 1445/707\nf 1396/704 1414/705 1398/706 1400/707\nf 1399/706 1415/705 1397/704 1401/707\nf 1345/704 1396/705 1444/706 1376/707\nf 1445/706 1397/705 1346/704 1377/707\nf 1345/704 1347/705 1414/706 1396/707\nf 1415/706 1348/705 1346/704 1397/707\nf 1345/704 1402/705 1459/706 1347/707\nf 1460/706 1403/705 1346/704 1348/707\nf 1345/704 1376/705 1448/706 1402/707\nf 1449/706 1377/705 1346/704 1403/707\nf 1347/704 1374/705 1495/706 1414/707\nf 1496/706 1375/705 1348/704 1415/707\nf 1347/704 1459/705 1498/706 1374/707\nf 1499/706 1460/705 1348/704 1375/707\nf 1416/704 1457/705 1369/706 1488/707\nf 1487/706 1458/705 1417/704 1489/707\nf 1416/704 1488/705 1452/706 1406/707\nf 1500/706 1489/705 1417/704 1407/707\nf 1349/704 1343/705 1457/706 1416/707\nf 1458/706 1344/705 1350/704 1417/707\nf 1349/704 1378/705 1370/706 1343/707\nf 1371/706 1379/705 1350/704 1344/707\nf 1349/704 1404/705 1450/706 1378/707\nf 1451/706 1405/705 1350/704 1379/707\nf 1349/704 1416/705 1406/706 1404/707\nf 1407/706 1417/705 1350/704 1405/707\nf 1351/704 1406/705 1452/706 1490/707\nf 1500/706 1407/705 1352/704 1382/707\nf 1351/704 1490/705 1498/706 1459/707\nf 1499/706 1382/705 1352/704 1460/707\nf 1353/704 1404/705 1406/706 1351/707\nf 1407/706 1405/705 1354/704 1352/707\nf 1353/704 1380/705 1450/706 1404/707\nf 1451/706 1381/705 1354/704 1405/707\nf 1353/704 1402/705 1448/706 1380/707\nf 1449/706 1403/705 1354/704 1381/707\nf 1353/704 1351/705 1459/706 1402/707\nf 1460/706 1352/705 1354/704 1403/707\nf 1418/704 1398/705 1441/706 1385/707\nf 1497/706 1399/705 1419/704 1386/707\nf 1418/704 1385/705 1501/706 1461/707\nf 1502/706 1386/705 1419/704 1462/707\nf 1355/704 1400/705 1398/706 1418/707\nf 1399/706 1401/705 1356/704 1419/707\nf 1355/704 1383/705 1446/706 1400/707\nf 1447/706 1384/705 1356/704 1401/707\nf 1355/704 1408/705 1453/706 1383/707\nf 1454/706 1409/705 1356/704 1384/707\nf 1355/704 1418/705 1461/706 1408/707\nf 1462/706 1419/705 1356/704 1409/707\nf 1357/704 1394/705 1442/706 1388/707\nf 1443/706 1395/705 1358/704 1389/707\nf 1357/704 1420/705 1392/706 1394/707\nf 1393/706 1421/705 1358/704 1395/707\nf 1357/704 1410/705 1412/706 1420/707\nf 1413/706 1411/705 1358/704 1421/707\nf 1357/704 1388/705 1455/706 1410/707\nf 1456/706 1389/705 1358/704 1411/707\nf 1420/704 1491/705 1440/706 1392/707\nf 1494/706 1387/705 1421/704 1393/707\nf 1420/704 1412/705 1503/706 1491/707\nf 1504/706 1413/705 1421/704 1387/707\nf 1359/704 1410/705 1455/706 1390/707\nf 1456/706 1411/705 1360/704 1391/707\nf 1359/704 1422/705 1412/706 1410/707\nf 1413/706 1423/705 1360/704 1411/707\nf 1359/704 1408/705 1461/706 1422/707\nf 1462/706 1409/705 1360/704 1423/707\nf 1359/704 1390/705 1453/706 1408/707\nf 1454/706 1391/705 1360/704 1409/707\nf 1422/704 1492/705 1503/706 1412/707\nf 1504/706 1493/705 1423/704 1413/707\nf 1422/704 1461/705 1501/706 1492/707\nf 1502/706 1462/705 1423/704 1493/707\nf 1361/704 1390/705 1455/706 1428/707\nf 1456/706 1391/705 1362/704 1429/707\nf 1361/704 1424/705 1453/706 1390/707\nf 1454/706 1425/705 1362/704 1391/707\nf 1361/704 1426/705 1463/706 1424/707\nf 1464/706 1427/705 1362/704 1425/707\nf 1361/704 1428/705 1465/706 1426/707\nf 1466/706 1429/705 1362/704 1427/707\nf 1363/708 1388/705 1442/706 1432/707\nf 1443/706 1389/705 1364/708 1433/707\nf 1363/708 1428/705 1455/706 1388/707\nf 1456/706 1429/705 1364/708 1389/707\nf 1363/708 1430/705 1465/706 1428/707\nf 1466/706 1431/705 1364/708 1429/707\nf 1363/708 1432/705 1467/706 1430/707\nf 1468/706 1433/705 1364/708 1431/707\nf 1365/704 1383/705 1453/706 1424/707\nf 1454/706 1384/705 1366/704 1425/707\nf 1365/704 1434/705 1446/706 1383/707\nf 1447/706 1435/705 1366/704 1384/707\nf 1365/704 1436/705 1469/706 1434/707\nf 1470/706 1437/705 1366/704 1435/707\nf 1365/704 1424/705 1463/706 1436/707\nf 1464/706 1425/705 1366/704 1437/707\nf 1367/709 1372/705 1446/706 1434/707\nf 1447/706 1373/705 1368/709 1435/707\nf 1367/709 1432/705 1442/706 1372/707\nf 1443/706 1433/705 1368/709 1373/707\nf 1367/709 1438/705 1467/706 1432/707\nf 1468/706 1439/705 1368/709 1433/707\nf 1367/709 1434/705 1469/706 1438/707\nf 1470/706 1435/705 1368/709 1439/707\nf 1426/704 1477/710 1475/711 1463/707\nf 1476/711 1478/710 1427/704 1464/707\nf 1477/710 187/705 157/706 1475/711\nf 156/706 186/705 1478/710 1476/711\nf 1465/704 1479/710 1477/711 1426/707\nf 1478/711 1480/710 1466/704 1427/707\nf 1479/710 1336/705 187/706 1477/711\nf 186/706 1335/705 1480/710 1478/711\nf 1430/704 1483/710 1479/711 1465/707\nf 1480/711 1484/710 1431/704 1466/707\nf 1483/710 1337/705 1336/706 1479/711\nf 1335/706 163/705 1484/710 1480/711\nf 1467/704 1485/710 1483/711 1430/707\nf 1484/711 1486/710 1468/704 1431/707\nf 1485/710 188/705 1337/706 1483/711\nf 1486/710 1484/711 163/706 1338/705\nf 1463/704 1475/710 1473/711 1436/707\nf 1474/711 1476/710 1464/704 1437/707\nf 1475/710 157/705 158/706 1473/711\nf 1330/706 156/705 1476/710 1474/711\nf 1436/704 1473/710 1471/711 1469/707\nf 1472/711 1474/710 1437/704 1470/707\nf 1473/710 158/705 1332/706 1471/711\nf 1331/706 1330/705 1474/710 1472/711\nf 1438/704 1481/710 1485/711 1467/707\nf 1486/711 1482/710 1439/704 1468/707\nf 1481/710 1334/705 188/706 1485/711\nf 1482/710 1486/711 1338/706 1333/705\nf 1469/704 1471/710 1481/711 1438/707\nf 1482/711 1472/710 1470/704 1439/707\nf 1471/710 1332/705 1334/706 1481/711\nf 1333/706 1331/705 1472/710 1482/711\nf 1505/712 1369/713 1440/714 1507/715\nf 1506/712 1508/715 1494/714 1487/713\nf 1374/714 1509/715 1511/712 1495/713\nf 1512/712 1510/715 1375/714 1496/713\nf 1498/714 1513/715 1509/712 1374/713\nf 1510/712 1514/715 1499/714 1375/713\nf 1488/714 1515/715 1517/712 1452/713\nf 1518/712 1516/715 1489/714 1500/713\nf 1490/714 1519/715 1513/712 1498/713\nf 1514/712 1520/715 1382/714 1499/713\nf 1452/714 1517/715 1519/712 1490/713\nf 1520/712 1518/715 1500/714 1382/713\nf 1441/714 1523/715 1521/712 1385/713\nf 1522/712 1524/715 1497/714 1386/713\nf 1385/714 1521/715 1525/712 1501/713\nf 1526/712 1522/715 1386/714 1502/713\nf 1491/714 1527/715 1507/712 1440/713\nf 1508/712 1528/715 1387/714 1494/713\nf 1503/714 1529/715 1527/712 1491/713\nf 1528/712 1530/715 1504/714 1387/713\nf 1501/714 1525/715 1531/712 1492/713\nf 1532/712 1526/715 1502/714 1493/713\nf 1492/714 1531/715 1529/712 1503/713\nf 1530/712 1532/715 1493/714 1504/713\nf 1369/714 1505/715 1515/712 1488/713\nf 1516/712 1506/715 1487/714 1489/713\nf 1495/714 1511/715 1523/712 1441/713\nf 1524/712 1512/715 1496/714 1497/713\nf 1507/714 1533/715 1535/712 1505/713\nf 1536/712 1534/715 1508/714 1506/713\nf 1509/714 1539/715 1537/712 1511/713\nf 1538/712 1540/715 1510/714 1512/713\nf 1513/714 1541/715 1539/712 1509/713\nf 1540/712 1542/715 1514/714 1510/713\nf 1515/714 1543/715 1545/712 1517/713\nf 1546/712 1544/715 1516/714 1518/713\nf 1519/714 1547/715 1541/712 1513/713\nf 1542/712 1548/715 1520/714 1514/713\nf 1517/714 1545/715 1547/712 1519/713\nf 1548/712 1546/715 1518/714 1520/713\nf 1523/714 1549/715 1551/712 1521/713\nf 1552/712 1550/715 1524/714 1522/713\nf 1521/714 1551/715 1553/712 1525/713\nf 1554/712 1552/715 1522/714 1526/713\nf 1527/714 1555/715 1533/712 1507/713\nf 1534/712 1556/715 1528/714 1508/713\nf 1529/714 1557/715 1555/712 1527/713\nf 1556/712 1558/715 1530/714 1528/713\nf 1525/714 1553/715 1559/712 1531/713\nf 1560/712 1554/715 1526/714 1532/713\nf 1531/714 1559/715 1557/712 1529/713\nf 1558/712 1560/715 1532/714 1530/713\nf 1505/714 1535/715 1543/712 1515/713\nf 1544/712 1536/715 1506/714 1516/713\nf 1511/714 1537/715 1549/712 1523/713\nf 1550/712 1538/715 1512/714 1524/713\nf 1551/714 1555/715 1557/712 1553/713\nf 1558/712 1556/715 1552/714 1554/713\nf 1533/714 1555/713 1551/712 1549/715\nf 1552/712 1556/713 1534/714 1550/715\nf 1533/714 1549/713 1537/712 1535/715\nf 1538/712 1550/713 1534/714 1536/715\nf 1535/714 1537/715 1539/712 1543/713\nf 1540/712 1538/715 1536/714 1544/713\nf 1539/714 1541/713 1545/712 1543/715\nf 1546/712 1542/713 1540/714 1544/715\nf 1541/714 1547/712 1545/715\nf 1546/715 1548/712 1542/714\nf 1553/714 1557/715 1559/712\nf 1560/712 1558/715 1554/714\nf 765/634 766/671 1561/670\nf 766/643 767/673 1561/671\nf 767/643 1224/673 1561/673\nf 1225/609 768/609 1561/672\nf 1075/672 1225/618 1561/607\nf 1230/670 1227/629 1561/624\nf 1228/618 1226/619 1561/623\nf 1229/670 1230/671 1561/634\nf 1227/623 1075/619 1561/618\nf 1226/624 765/629 1561/670\nf 768/607 1228/618 1561/672\nf 1224/671 1229/673 1561/643\n"
  },
  {
    "path": "package.json",
    "content": "{\n  \"name\": \"w\",\n  \"version\": \"1.0.2\",\n  \"description\": \"A micro WebGL2 framework\",\n  \"main\": \"./src/w.js\",\n  \"scripts\": {\n    \"build\": \"node build.mjs\"\n  },\n  \"repository\": {\n    \"type\": \"git\",\n    \"url\": \"github.com/xem/W\"\n  },\n  \"keywords\": [\n    \"WebGL2\",\n    \"WebGL\",\n    \"3D\",\n    \"js13k\",\n    \"js13kgames\"\n  ],\n  \"author\": \"Xem\",\n  \"license\": \"SEE LICENSE IN README.md\",\n  \"devDependencies\": {\n    \"ect-bin\": \"^1.4.1\",\n    \"terser\": \"^5.46.0\"\n  }\n}\n"
  },
  {
    "path": "src/w.js",
    "content": "// WebGL framework\n// ===============\n\nW = {\n  \n  // List of 3D models that can be rendered by the framework\n  // (See the end of the file for built-in models: plane, billboard, cube, pyramid...)\n  models: {},\n  \n  // Pseudo-boolean, defined internally in Terser when building.\n  // Is used further down to add all plugins, if the flag still isn't set.\n  // Any usages of these properties will be removed in the minified versions thanks to Terser.\n  // built: true,\n  // plugin: {},\n\n  // Reset the framework\n  // param: a <canvas> element\n  reset: (canvas, shader) => {\n    \n    // Globals\n    W.canvas = canvas;    // canvas element\n    W.objs = 0;           // Object counter\n    W.current = {};       // Objects current states\n    W.next = {};          // Objects next states\n    W.textures = {};      // Textures list\n\n    // WebGL context\n    W.gl = canvas.getContext('webgl2');\n    \n    // Default blending method for transparent objects\n    W.gl.blendFunc(770 /* SRC_ALPHA */, 771 /* ONE_MINUS_SRC_ALPHA */);\n    \n    // Enable texture 0\n    W.gl.activeTexture(33984 /* TEXTURE0 */);\n\n    // Create a WebGL program\n    W.program = W.gl.createProgram();\n    \n    // Hide polygons back-faces (optional)\n    W.gl.enable(2884 /* CULL_FACE */);\n    \n    // Create a Vertex shader\n    // (this GLSL program is called for every vertex of the scene)\n    W.gl.shaderSource(\n      \n      shader = W.gl.createShader(35633 /* VERTEX_SHADER */),\n      \n      `#version 300 es\n      precision highp float;                        // Set default float precision\n      in vec4 pos, col, uv, normal;                 // Vertex attributes: position, color, texture coordinates, normal (if any)\n      uniform mat4 pv, eye, m, im;                  // Uniform transformation matrices: projection * view, eye, model, inverse model\n      uniform vec4 bb;                              // If the current shape is a billboard: bb = [w, h, 1.0, 0.0]\n      out vec4 v_pos, v_col, v_uv, v_normal;        // Varyings sent to the fragment shader: position, color, texture coordinates, normal (if any)\n      void main() {                                 \n        gl_Position = pv * (                        // Set vertex position: p * v * v_pos\n          v_pos = bb.z > 0.                         // Set v_pos varying:\n          ? m[3] + eye * (pos * bb)                 // Billboards always face the camera:  p * v * distance + eye * (position * [w, h, 1.0, 0.0])\n          : m * pos                                 // Other objects rotate normally:      p * v * m * position\n        );                                          \n        v_col = col;                                // Set varyings \n        v_uv = uv;\n        v_normal = transpose(inverse(m)) * normal;  // recompute normals to match model thansformation\n      }`\n    );\n    \n    // Compile the Vertex shader and attach it to the program\n    W.gl.compileShader(shader);\n    W.gl.attachShader(W.program, shader);\n    if(W.plugin.debug) console.log('vertex shader:', W.gl.getShaderInfoLog(shader) || 'OK');\n    \n    // Create a Fragment shader\n    // (This GLSL program is called for every fragment (pixel) of the scene)\n    W.gl.shaderSource(\n\n      shader = W.gl.createShader(35632 /* FRAGMENT_SHADER */),\n      \n      `#version 300 es\n      precision highp float;                  // Set default float precision\n      in vec4 v_pos, v_col, v_uv, v_normal;   // Varyings received from the vertex shader: position, color, texture coordinates, normal (if any)\n      uniform vec3 light;                     // Uniform: light direction, smooth normals enabled\n      uniform vec4 o;                         // options [smooth, shading enabled, ambient, mix]\n      uniform sampler2D sampler;              // Uniform: 2D texture\n      out vec4 c;                             // Output: final fragment color\n\n      // The code below displays colored / textured / shaded fragments\n      void main() {\n        c = mix(texture(sampler, v_uv.xy), v_col, o[3]);  // base color (mix of texture and rgba)\n        if(o[1] > 0.){                                    // if lighting/shading is enabled:\n          c = vec4(                                       // output = vec4(base color RGB * (directional shading + ambient light)), base color Alpha\n            c.rgb * (max(0., dot(light, -normalize(       // Directional shading: compute dot product of light direction and normal (0 if negative)\n              o[0] > 0.                                   // if smooth shading is enabled:\n              ? vec3(v_normal.xyz)                        // use smooth normals passed as varying\n              : cross(dFdx(v_pos.xyz), dFdy(v_pos.xyz))   // else, compute flat normal by making a cross-product with the current fragment and its x/y neighbours\n            )))\n            + o[2]),                                      // add ambient light passed as uniform\n            c.a                                           // use base color's alpha\n          );\n        }\n      }`\n    );\n    \n    // Compile the Fragment shader and attach it to the program\n    W.gl.compileShader(shader);\n    W.gl.attachShader(W.program, shader);\n    if(W.plugin.debug) console.log('fragment shader:', W.gl.getShaderInfoLog(shader) || 'OK');\n    \n    // Compile the program\n    W.gl.linkProgram(W.program);\n    W.gl.useProgram(W.program);\n    if(W.plugin.debug) console.log('program:', W.gl.getProgramInfoLog(W.program) || 'OK');\n    \n    // Set the scene's background color (RGBA)\n    W.gl.clearColor(1, 1, 1, 1);\n    \n    // Shortcut to set the clear color\n    W.clearColor = c => W.gl.clearColor(...W.col(c));\n    \n    // Enable fragments depth sorting\n    // (the fragments of close objects will automatically overlap the fragments of further objects)\n    W.gl.enable(2929 /* DEPTH_TEST */);\n    \n    // When everything is loaded: set default light / camera\n    W.light({y: -1});\n    W.camera({fov: 30});\n    \n    // Draw the scene. Ignore the first frame because the default camera will probably be overwritten by the program\n    setTimeout(W.draw, 16);\n  },\n\n  // Set a state to an object\n  setState: (state, type, texture) => {\n\n    // Custom name or default name ('o' + auto-increment)\n    state.n ||= 'o' + W.objs++;\n    \n    // Size sets w, h and d at once (optional)\n    if(state.size) state.w = state.h = state.d = state.size;\n    \n    // If a new texture is provided, build it and save it in W.textures\n    if(state.t && state.t.width && !W.textures[state.t.id]){\n      texture = W.gl.createTexture();\n      W.gl.pixelStorei(37441 /* UNPACK_PREMULTIPLY_ALPHA_WEBGL */, true);\n      W.gl.bindTexture(3553 /* TEXTURE_2D */, texture);\n      W.gl.pixelStorei(37440 /* UNPACK_FLIP_Y_WEBGL */, 1);\n      W.gl.texImage2D(3553 /* TEXTURE_2D */, 0, 6408 /* RGBA */, 6408 /* RGBA */, 5121 /* UNSIGNED_BYTE */, state.t);\n      W.gl.generateMipmap(3553 /* TEXTURE_2D */);\n      W.textures[state.t.id] = texture;\n    }\n    \n    // Recompute the projection matrix if fov is set (near: 1, far: 1000, ratio: canvas ratio)\n    if(state.fov){\n      W.projection =     \n        new DOMMatrix([\n          (1 / Math.tan(state.fov * Math.PI / 180)) / (W.canvas.width / W.canvas.height), 0, 0, 0, \n          0, (1 / Math.tan(state.fov * Math.PI / 180)), 0, 0, \n          0, 0, -1001 / 999, -1,\n          0, 0, -2002 / 999, 0\n        ]);\n    }\n    \n    // Save object's type,\n    // merge previous state (or default state) with the new state passed in parameter,\n    // and reset f (the animation timer)\n    state = {type, ...(W.current[state.n] = W.next[state.n] || {w:1, h:1, d:1, x:0, y:0, z:0, rx:0, ry:0, rz:0, b:'888', mode:4, mix: 0}), ...state, f:0};\n    \n    // Set mix to 1 if no texture is set\n    if(!state.t){\n      state.mix = 1;\n    }\n\n    // set mix to 0 by default if a texture is set\n    else if(state.t && !state.mix){\n      state.mix = 0;\n    }\n    \n    // Save new state\n    W.next[state.n] = state;\n  },\n  \n  // Draw the scene\n  draw: (now, dt, i, v = W.animation(\"camera\"), transparent = []) => {\n    \n    // Loop and measure time delta between frames\n    dt = now - W.lastFrame;\n    W.lastFrame = now;\n    requestAnimationFrame(W.draw);\n    \n    // Build camera transformation matrix, and send it to the shaders as the Eye matrix\n    W.gl.uniformMatrix4fv(\n      W.gl.getUniformLocation(W.program, 'eye'),\n      false,\n      v.toFloat32Array(),\n    );\n    \n    // Invert it to obtain the View matrix\n    v.invertSelf();\n\n    // Premultiply it with the Perspective matrix to obtain a Projection-View matrix\n    v.preMultiplySelf(W.projection);\n    \n    // send it to the shaders as the pv matrix\n    W.gl.uniformMatrix4fv(\n      W.gl.getUniformLocation(W.program, 'pv'),\n      false,\n      v.toFloat32Array(),\n    );\n\n    // Clear canvas\n    W.gl.clear(16640 /* W.gl.COLOR_BUFFER_BIT | W.gl.DEPTH_BUFFER_BIT */);\n    \n    // Render all the objects in the scene\n    for (i in W.next) {\n      // Update objects model matrix\n      W.next[i].m = W.animation(i);\n      \n      // Render the shapes with no texture and no transparency (RGB1 color)\n      if(!W.next[i].t && W.col(W.next[i].b)[3] == 1){\n        W.render(W.next[i], dt);\n      }\n      \n      // Add the objects with transparency (RGBA or texture) in an array\n      else {\n        transparent.push(W.next[i]);\n      }\n    }\n    \n    // Order transparent objects from back to front\n    transparent.sort((a, b) => {\n      // Return a value > 0 if b is closer to the camera than a\n      // Return a value < 0 if a is closer to the camera than b\n      return W.dist(b) - W.dist(a);\n    });\n\n    // Enable alpha blending\n    W.gl.enable(3042 /* BLEND */);\n\n    // Render all transparent objects\n    for(i of transparent){\n\n      // Disable depth buffer write if it's a plane or a billboard to allow transparent objects to intersect planes more easily\n      if(W.plugin.builtinShapes && [\"plane\",\"billboard\"].includes(i.type)) W.gl.depthMask(0);\n    \n      W.render(i, dt);\n      \n      if(W.plugin.builtinShapes) W.gl.depthMask(1);\n    }\n    \n    // Disable alpha blending for the next frame\n    W.gl.disable(3042 /* BLEND */);\n    \n    // Transition the light's direction and send it to the shaders\n    W.gl.uniform3f(\n      W.gl.getUniformLocation(W.program, 'light'),\n      W.lerp('light','x'), W.lerp('light','y'), W.lerp('light','z')\n    );\n  },\n  \n  // Render an object\n  render: (object, dt, buffer, model = W.models[object.type]) => {\n\n    // If the object has a texture\n    if(object.t) {\n\n      // Set the texture's target (2D or cubemap)\n      W.gl.bindTexture(3553 /* TEXTURE_2D */, W.textures[object.t.id]);\n\n      // Pass texture 0 to the sampler\n      W.gl.uniform1i(W.gl.getUniformLocation(W.program, 'sampler'), 0);\n    }\n\n    // If the object has an animation, increment its timer...\n    if(object.f < object.a) object.f += dt;\n    \n    // ...but don't let it go over the animation duration.\n    if(object.f > object.a) object.f = object.a;\n\n    // send the model matrix to the vertex shader\n    W.gl.uniformMatrix4fv(\n      W.gl.getUniformLocation(W.program, 'm'),\n      false,\n      object.m.toFloat32Array(),\n    );\n    \n    // send the inverse of the model matrix to the vertex shader\n    W.gl.uniformMatrix4fv(\n      W.gl.getUniformLocation(W.program, 'im'),\n      false,\n      object.m.inverse().toFloat32Array(),\n    );\n\n    // Show warning if model doesn't exist (debug only)\n    if (W.plugin.debug && !model && !['camera','light','group'].includes(object.type)) {\n      console.warn(`tried to render model \"${object.type}\", which does not exist!`);\n    }\n    \n    // Don't render invisible items (camera, light, groups, camera's parent)\n    if (model) {\n\n      // Build the model's WebGL buffers if they don't exist yet\n      if (model && !model.verticesBuffer) {\n        model.customNormals = !!model.normals;\n\n        // Build the model's vertices buffer\n        W.gl.bindBuffer(34962 /* ARRAY_BUFFER */, model.verticesBuffer = W.gl.createBuffer());\n        W.gl.bufferData(34962 /* ARRAY_BUFFER */, new Float32Array(model.vertices), 35044 /* STATIC_DRAW */);\n\n        // Compute smooth normals if they don't exist yet (optional)\n        if (!model.normals && W.plugin.smooth) W.smooth(model);\n\n        // Make a buffer from the smooth/custom normals (if any)\n        if (model.normals) {\n          W.gl.bindBuffer(34962 /* ARRAY_BUFFER */, model.normalsBuffer = W.gl.createBuffer());\n          W.gl.bufferData(34962 /* ARRAY_BUFFER */, new Float32Array(model.normals.flat()), 35044 /* STATIC_DRAW */); \n        }\n\n        // Build the model's uv buffer (if any) if it doesn't exist yet\n        if (model.uv) {\n          W.gl.bindBuffer(34962 /* ARRAY_BUFFER */, model.uvBuffer = W.gl.createBuffer());\n          W.gl.bufferData(34962 /* ARRAY_BUFFER */, new Float32Array(model.uv), 35044 /* STATIC_DRAW */); \n        }\n\n        // Build the model's index buffer (if any) and smooth normals if they don't exist yet\n        if (model.indices) {\n          W.gl.bindBuffer(34963 /* ELEMENT_ARRAY_BUFFER */, model.indicesBuffer = W.gl.createBuffer());\n          W.gl.bufferData(34963 /* ELEMENT_ARRAY_BUFFER */, new Uint16Array(model.indices), 35044 /* STATIC_DRAW */);\n        }\n      }\n      \n      // Set up the position buffer\n      W.gl.bindBuffer(34962 /* ARRAY_BUFFER */, model.verticesBuffer);\n      W.gl.vertexAttribPointer(buffer = W.gl.getAttribLocation(W.program, 'pos'), 3, 5126 /* FLOAT */, false, 0, 0)\n      W.gl.enableVertexAttribArray(buffer);\n      \n      // Set up the texture coordinatess buffer (if any)\n      if (model.uvBuffer) {\n        W.gl.bindBuffer(34962 /* ARRAY_BUFFER */, model.uvBuffer);\n        W.gl.vertexAttribPointer(buffer = W.gl.getAttribLocation(W.program, 'uv'), 2, 5126 /* FLOAT */, false, 0, 0);\n        W.gl.enableVertexAttribArray(buffer);\n      }\n      \n      // Set the normals buffer\n      if ((object.s || model.customNormals) && model.normalsBuffer) {\n        W.gl.bindBuffer(34962 /* ARRAY_BUFFER */, model.normalsBuffer);\n        W.gl.vertexAttribPointer(buffer = W.gl.getAttribLocation(W.program, 'normal'), 3, 5126 /* FLOAT */, false, 0, 0);\n        W.gl.enableVertexAttribArray(buffer);\n      }\n      \n      // Other options: [smooth, shading enabled, ambient light, texture/color mix]\n      W.gl.uniform4f(\n\n        W.gl.getUniformLocation(W.program, 'o'), \n        \n        // Enable smooth shading if \"s\" is true\n        object.s,\n        \n        // Enable shading if in TRIANGLE* mode and object.ns disabled\n        ((object.mode > 3) || (W.gl[object.mode] > 3)) && !object.ns ? 1 : 0,\n        \n        // Ambient light\n        W.ambientLight || 0.2,\n        \n        // Texture/color mix (if a texture is present. 0: fully textured, 1: fully colored)\n        object.mix\n      );\n      \n      // If the object is a billboard: send a specific uniform to the shaders:\n      // [width, height, isBillboard = 1, 0]\n      W.gl.uniform4f(\n        W.gl.getUniformLocation(W.program, 'bb'),\n        \n        // Size\n        object.w,\n        object.h,               \n\n        // is a billboard\n        (W.plugin.builtinShapes) ? object.type == 'billboard' : 0,\n        \n        // Reserved\n        0\n      );\n      \n      // Set up the indices (if any)\n      if (model.indicesBuffer) {\n        W.gl.bindBuffer(34963 /* ELEMENT_ARRAY_BUFFER */, model.indicesBuffer);\n      }\n        \n      // Set the object's color\n      W.gl.vertexAttrib4fv(\n        W.gl.getAttribLocation(W.program, 'col'),\n        W.col(object.b)\n      );\n\n      // Draw\n      // Both indexed and unindexed models are supported.\n      // You can keep the \"drawElements\" only if all your models are indexed.\n      if (model.indicesBuffer) {\n        W.gl.drawElements(+object.mode || W.gl[object.mode], model.indices.length, 5123 /* UNSIGNED_SHORT */, 0);\n      }\n      else {\n        W.gl.drawArrays(+object.mode || W.gl[object.mode], 0, model.vertices.length / 3);\n      }\n    }\n  },\n  \n  // Helpers\n  // -------\n  \n  // Interpolate a property between two values\n  lerp: (item, property) => \n    W.next[item]?.a\n    ? W.current[item][property] + (W.next[item][property] -  W.current[item][property]) * (W.next[item].f / W.next[item].a)\n    : W.next[item][property],\n  \n  // Transition an item\n  animation: (item, m = new DOMMatrix(W.next[item]?.M)) =>\n    W.next[item]\n    ? m\n      .translateSelf(W.lerp(item, 'x'), W.lerp(item, 'y'), W.lerp(item, 'z'))\n      .rotateSelf(W.lerp(item, 'rx'), W.lerp(item, 'ry'), W.lerp(item, 'rz'))\n      .scaleSelf(W.lerp(item, 'w'), W.lerp(item, 'h'), W.lerp(item, 'd'))\n      .preMultiplySelf(W.animation(W.next[item].g))\n    : m,\n    \n  // Compute the distance squared between two objects (useful for sorting transparent items)\n  dist: (a, b = W.next.camera) => (b.m.m41 - a.m.m41)**2 + (b.m.m42 - a.m.m42)**2 + (b.m.m43 - a.m.m43)**2,\n  \n  // Set the ambient light level (0 to 1)\n  ambient: a => W.ambientLight = a,\n  \n  // Convert an rgb/rgba hex string into a vec4\n  col: c => [...c.replace(\"#\",\"\").match(c.length < 5 ? /./g : /../g).map(a => ('0x' + a) / (c.length < 5 ? 15 : 255)), 1], // rgb / rgba / rrggbb / rrggbbaa\n  \n  // Add a new 3D model\n  add: (name, model) => {\n    W.models[name] = model;\n    W[name] = settings => W.setState(settings, name);\n  },\n  \n  // Built-in objects\n  // ----------------\n  \n  group: t => W.setState(t, 'group'),\n  \n  move: (t, delay) => setTimeout(()=>{ W.setState(t) }, delay || 1),\n  \n  delete: (t, delay) => setTimeout(()=>{ delete W.next[t] }, delay || 1),\n  \n  camera: (t, delay) => setTimeout(()=>{ W.setState(t, t.n = 'camera') }, delay || 1),\n    \n  light: (t, delay) => delay ? setTimeout(()=>{ W.setState(t, t.n = 'light') }, delay) : W.setState(t, t.n = 'light'),\n};\n\n\n// Define W plugins for w.js instance running from source\n// ======================================================\n\n// If the \"W.built\" flag is set at build time, this block won't be compiled in.\n// If the flag is NOT set, that means this is a version running from the W source code.\n// In that case, we should enable all plugins.\n//\n// If you need to test the absence of a plugin, flip the value to \"false\" here.\n// See \"build.js\" for which plugins are enabled in which verions.\nif (!W.built) {\n  W.plugin = {\n    debug: true,\n    smooth: true,\n    builtinShapes: true,\n  };\n}\n\n\n// Smooth normals computation plug-in (optional)\n// =============================================\n\nif (W.plugin.smooth) {\n  W.smooth = (model, dict = {}, vertices = [], vertexCount, i = 0, j, A, B, C, Ai, Bi, Ci, AB, BC, normal) => {\n\n    // Prepare smooth normals array\n    model.normals = [];\n\n    // Fill vertices array: [[x,y,z],[x,y,z]...]\n    for (; i < model.vertices.length; i += 3) {\n      vertices.push(model.vertices.slice(i, i+3));\n    }\n\n    // Get number of times to iterate\n    vertexCount = (model.indices || vertices).length;\n\n    // Iterate twice on the vertices\n    // - 1st pass: compute normals of each triangle and accumulate them for each vertex\n    // - 2nd pass: save the final smooth normals values\n    for (i = 0; i < vertexCount * 2; i += 3) {\n      j = i % vertexCount;\n\n      A = vertices[Ai = model.indices?.[j] ?? j];\n      B = vertices[Bi = model.indices?.[j+1] ?? j+1];\n      C = vertices[Ci = model.indices?.[j+2] ?? j+2];\n\n      AB = [B[0] - A[0], B[1] - A[1], B[2] - A[2]];\n      BC = [C[0] - B[0], C[1] - B[1], C[2] - B[2]];\n      normal = i > j ? [0,0,0] : [AB[1] * BC[2] - AB[2] * BC[1], AB[2] * BC[0] - AB[0] * BC[2], AB[0] * BC[1] - AB[1] * BC[0]];\n\n      dict[j = A.join()] ??= [0,0,0];\n      model.normals[Ai] = dict[j] = dict[j].map((a,i) => a + normal[i]);\n      dict[j = B.join()] ??= [0,0,0];\n      model.normals[Bi] = dict[j] = dict[j].map((a,i) => a + normal[i]);\n      dict[j = C.join()] ??= [0,0,0];\n      model.normals[Ci] = dict[j] = dict[j].map((a,i) => a + normal[i]);\n    }\n  };\n}\n\n\n// 3D models\n// =========\n\n// Each model has:\n// - A vertices array [x, y, z, x, y, z...]\n// - A uv array [u, v, u, v...] (optional. Allows texturing... if absent: RGBA coloring only)\n// - An indices array (optional, enables drawElements rendering... if absent: drawArrays is ised)\n// - A normals array [nx, ny, nz, nx, ny, nz...] (optional... if absent: hard/smooth normals are computed by the framework when they're needed)\n// The buffers (vertices, uv, indices) are built automatically when they're needed\n// All models are optional, you can remove the ones you don't need to save space\n// Custom models can be added from the same model, an OBJ importer is available on https://xem.github.io/W/obj2js/\n\nif (W.plugin.builtinShapes) {\n  // Plane / billboard\n  //\n  //  v1------v0\n  //  |       |\n  //  |   x   |\n  //  |       |\n  //  v2------v3\n\n  W.add(\"plane\", {\n    vertices: [\n      .5, .5, 0,    -.5, .5, 0,   -.5,-.5, 0,\n      .5, .5, 0,    -.5,-.5, 0,    .5,-.5, 0\n    ],\n    \n    uv: [\n      1, 1,     0, 1,    0, 0,\n      1, 1,     0, 0,    1, 0\n    ],\n  });\n  W.add(\"billboard\", W.models.plane);\n\n  // Cube\n  //\n  //    v6----- v5\n  //   /|      /|\n  //  v1------v0|\n  //  | |  x  | |\n  //  | |v7---|-|v4\n  //  |/      |/\n  //  v2------v3\n\n  W.add(\"cube\", {\n    vertices: [\n      .5, .5, .5,  -.5, .5, .5,  -.5,-.5, .5, // front\n      .5, .5, .5,  -.5,-.5, .5,   .5,-.5, .5,\n      .5, .5,-.5,   .5, .5, .5,   .5,-.5, .5, // right\n      .5, .5,-.5,   .5,-.5, .5,   .5,-.5,-.5,\n      .5, .5,-.5,  -.5, .5,-.5,  -.5, .5, .5, // up\n      .5, .5,-.5,  -.5, .5, .5,   .5, .5, .5,\n     -.5, .5, .5,  -.5, .5,-.5,  -.5,-.5,-.5, // left\n     -.5, .5, .5,  -.5,-.5,-.5,  -.5,-.5, .5,\n     -.5, .5,-.5,   .5, .5,-.5,   .5,-.5,-.5, // back\n     -.5, .5,-.5,   .5,-.5,-.5,  -.5,-.5,-.5,\n      .5,-.5, .5,  -.5,-.5, .5,  -.5,-.5,-.5, // down\n      .5,-.5, .5,  -.5,-.5,-.5,   .5,-.5,-.5\n    ],\n    uv: [\n      1, 1,   0, 1,   0, 0, // front\n      1, 1,   0, 0,   1, 0,            \n      1, 1,   0, 1,   0, 0, // right\n      1, 1,   0, 0,   1, 0, \n      1, 1,   0, 1,   0, 0, // up\n      1, 1,   0, 0,   1, 0,\n      1, 1,   0, 1,   0, 0, // left\n      1, 1,   0, 0,   1, 0,\n      1, 1,   0, 1,   0, 0, // back\n      1, 1,   0, 0,   1, 0,\n      1, 1,   0, 1,   0, 0, // down\n      1, 1,   0, 0,   1, 0\n    ]\n  });\n  W.cube = settings => W.setState(settings, 'cube');\n\n  // Pyramid\n  //\n  //      ^\n  //     /\\\\\n  //    // \\ \\\n  //   /+-x-\\-+\n  //  //     \\/\n  //  +------+\n\n  W.add(\"pyramid\", {\n    vertices: [\n     -.5,-.5, .5,   .5,-.5, .5,    0, .5,  0, // Front\n      .5,-.5, .5,   .5,-.5,-.5,    0, .5,  0, // Right\n      .5,-.5,-.5,  -.5,-.5,-.5,    0, .5,  0, // Back\n     -.5,-.5,-.5,  -.5,-.5, .5,    0, .5,  0, // Left\n      .5,-.5, .5,  -.5,-.5, .5,  -.5,-.5,-.5, // down\n      .5,-.5, .5,  -.5,-.5,-.5,   .5,-.5,-.5\n    ],\n    uv: [\n      0, 0,   1, 0,  .5, 1,  // Front\n      0, 0,   1, 0,  .5, 1,  // Right\n      0, 0,   1, 0,  .5, 1,  // Back\n      0, 0,   1, 0,  .5, 1,  // Left\n      1, 1,   0, 1,   0, 0,  // down\n      1, 1,   0, 0,   1, 0\n    ]\n  });\n\n  // Sphere\n  //\n  //          =   =\n  //       =         =\n  //      =           =\n  //     =      x      =\n  //      =           =\n  //       =         =\n  //          =   =\n\n  ((i, ai, j, aj, p1, p2, vertices = [], indices = [], uv = [], precision = 20) => {\n    for(j = 0; j <= precision; j++){\n      aj = j * Math.PI / precision;\n      for(i = 0; i <= precision; i++){\n        ai = i * 2 * Math.PI / precision;\n        vertices.push(+(Math.sin(ai) * Math.sin(aj)/2).toFixed(6), +(Math.cos(aj)/2).toFixed(6), +(Math.cos(ai) * Math.sin(aj)/2).toFixed(6));\n        uv.push((Math.sin((i/precision))) * 3.5, -Math.sin(j/precision))\n        if(i < precision && j < precision){\n          indices.push(p1 = j * (precision + 1) + i, p2 = p1 + (precision + 1), (p1 + 1), (p1 + 1), p2, (p2 + 1));\n        }\n      }\n    }\n    W.add(\"sphere\", {vertices, uv, indices});\n  })();\n}\n"
  },
  {
    "path": "w.js",
    "content": "// This file is here exclusively to preserve old links pointing to it.\n// For any future code changes, please edit \"./src/w.js\" instead.\n// For any future use, please use \"xem.github.io/W/src/W.js\", or one of the dist versions.\n\n// WebGL framework\n// ===============\n\ndebug = 1; // Enable shader/program compilation logs (optional)\n\nW = {\n  \n  // List of 3D models that can be rendered by the framework\n  // (See the end of the file for built-in models: plane, billboard, cube, pyramid...)\n  models: {},\n  \n  // List of custom renderers\n  //renderers: {},\n\n  // Reset the framework\n  // param: a <canvas> element\n  reset: canvas => {\n    \n    // Globals\n    W.canvas = canvas;    // canvas element\n    W.objs = 0;           // Object counter\n    W.current = {};       // Objects current states\n    W.next = {};          // Objects next states\n    W.textures = {};      // Textures list\n\n    // WebGL context\n    W.gl = canvas.getContext('webgl2');\n    \n    // Default blending method for transparent objects\n    W.gl.blendFunc(770 /* SRC_ALPHA */, 771 /* ONE_MINUS_SRC_ALPHA */);\n    \n    // Enable texture 0\n    W.gl.activeTexture(33984 /* TEXTURE0 */);\n\n    // Create a WebGL program\n    W.program = W.gl.createProgram();\n    \n    // Hide polygons back-faces (optional)\n    W.gl.enable(2884 /* CULL_FACE */);\n    \n    // Create a Vertex shader\n    // (this GLSL program is called for every vertex of the scene)\n    W.gl.shaderSource(\n      \n      t = W.gl.createShader(35633 /* VERTEX_SHADER */),\n      \n      `#version 300 es\n      precision highp float;                        // Set default float precision\n      in vec4 pos, col, uv, normal;                 // Vertex attributes: position, color, texture coordinates, normal (if any)\n      uniform mat4 pv, eye, m, im;                  // Uniform transformation matrices: projection * view, eye, model, inverse model\n      uniform vec4 bb;                              // If the current shape is a billboard: bb = [w, h, 1.0, 0.0]\n      out vec4 v_pos, v_col, v_uv, v_normal;        // Varyings sent to the fragment shader: position, color, texture coordinates, normal (if any)\n      void main() {                                 \n        gl_Position = pv * (                        // Set vertex position: p * v * v_pos\n          v_pos = bb.z > 0.                         // Set v_pos varying:\n          ? m[3] + eye * (pos * bb)                 // Billboards always face the camera:  p * v * distance + eye * (position * [w, h, 1.0, 0.0])\n          : m * pos                                 // Other objects rotate normally:      p * v * m * position\n        );                                          \n        v_col = col;                                // Set varyings \n        v_uv = uv;\n        v_normal = transpose(inverse(m)) * normal;  // recompute normals to match model thansformation\n      }`\n    );\n    \n    // Compile the Vertex shader and attach it to the program\n    W.gl.compileShader(t);\n    W.gl.attachShader(W.program, t);\n    if(debug) console.log('vertex shader:', W.gl.getShaderInfoLog(t) || 'OK');\n    \n    // Create a Fragment shader\n    // (This GLSL program is called for every fragment (pixel) of the scene)\n    W.gl.shaderSource(\n\n      t = W.gl.createShader(35632 /* FRAGMENT_SHADER */),\n      \n      `#version 300 es\n      precision highp float;                  // Set default float precision\n      in vec4 v_pos, v_col, v_uv, v_normal;   // Varyings received from the vertex shader: position, color, texture coordinates, normal (if any)\n      uniform vec3 light;                     // Uniform: light direction, smooth normals enabled\n      uniform vec4 o;                         // options [smooth, shading enabled, ambient, mix]\n      uniform sampler2D sampler;              // Uniform: 2D texture\n      out vec4 c;                             // Output: final fragment color\n\n      // The code below displays colored / textured / shaded fragments\n      void main() {\n        c = mix(texture(sampler, v_uv.xy), v_col, o[3]);  // base color (mix of texture and rgba)\n        if(o[1] > 0.){                                    // if lighting/shading is enabled:\n          c = vec4(                                       // output = vec4(base color RGB * (directional shading + ambient light)), base color Alpha\n            c.rgb * (max(0., dot(light, -normalize(       // Directional shading: compute dot product of light direction and normal (0 if negative)\n              o[0] > 0.                                   // if smooth shading is enabled:\n              ? vec3(v_normal.xyz)                        // use smooth normals passed as varying\n              : cross(dFdx(v_pos.xyz), dFdy(v_pos.xyz))   // else, compute flat normal by making a cross-product with the current fragment and its x/y neighbours\n            )))\n            + o[2]),                                      // add ambient light passed as uniform\n            c.a                                           // use base color's alpha\n          );\n        }\n      }`\n    );\n    \n    // Compile the Fragment shader and attach it to the program\n    W.gl.compileShader(t);\n    W.gl.attachShader(W.program, t);\n    if(debug) console.log('fragment shader:', W.gl.getShaderInfoLog(t) || 'OK');\n    \n    // Compile the program\n    W.gl.linkProgram(W.program);\n    W.gl.useProgram(W.program);\n    if(debug) console.log('program:', W.gl.getProgramInfoLog(W.program) || 'OK');\n    \n    // Set the scene's background color (RGBA)\n    W.gl.clearColor(1, 1, 1, 1);\n    \n    // Shortcut to set the clear color\n    W.clearColor = c => W.gl.clearColor(...W.col(c));\n    W.clearColor(\"fff\");\n    \n    // Enable fragments depth sorting\n    // (the fragments of close objects will automatically overlap the fragments of further objects)\n    W.gl.enable(2929 /* DEPTH_TEST */);\n    \n    // When everything is loaded: set default light / camera\n    W.light({y: -1});\n    W.camera({fov: 30});\n    \n    // Draw the scene. Ignore the first frame because the default camera will probably be overwritten by the program\n    setTimeout(W.draw, 16);\n  },\n\n  // Set a state to an object\n  setState: (state, type, texture, i, normal = [], A, B, C, Ai, Bi, Ci, AB, BC) => {\n\n    // Custom name or default name ('o' + auto-increment)\n    state.n ||= 'o' + W.objs++;\n    \n    // Size sets w, h and d at once (optional)\n    if(state.size) state.w = state.h = state.d = state.size;\n    \n    // If a new texture is provided, build it and save it in W.textures\n    if(state.t && state.t.width && !W.textures[state.t.id]){\n      texture = W.gl.createTexture();\n      W.gl.pixelStorei(37441 /* UNPACK_PREMULTIPLY_ALPHA_WEBGL */, true);\n      W.gl.bindTexture(3553 /* TEXTURE_2D */, texture);\n      W.gl.pixelStorei(37440 /* UNPACK_FLIP_Y_WEBGL */, 1);\n      W.gl.texImage2D(3553 /* TEXTURE_2D */, 0, 6408 /* RGBA */, 6408 /* RGBA */, 5121 /* UNSIGNED_BYTE */, state.t);\n      W.gl.generateMipmap(3553 /* TEXTURE_2D */);\n      W.textures[state.t.id] = texture;\n    }\n    \n    // Recompute the projection matrix if fov is set (near: 1, far: 1000, ratio: canvas ratio)\n    if(state.fov){\n      W.projection =     \n        new DOMMatrix([\n          (1 / Math.tan(state.fov * Math.PI / 180)) / (W.canvas.width / W.canvas.height), 0, 0, 0, \n          0, (1 / Math.tan(state.fov * Math.PI / 180)), 0, 0, \n          0, 0, -1001 / 999, -1,\n          0, 0, -2002 / 999, 0\n        ]);\n    }\n    \n    // Save object's type,\n    // merge previous state (or default state) with the new state passed in parameter,\n    // and reset f (the animation timer)\n    state = {type, ...(W.current[state.n] = W.next[state.n] || {w:1, h:1, d:1, x:0, y:0, z:0, rx:0, ry:0, rz:0, b:'888', mode:4, mix: 0}), ...state, f:0};\n    \n    // Build the model's vertices buffer if it doesn't exist yet\n    if(W.models[state.type]?.vertices && !W.models?.[state.type].verticesBuffer){\n      W.gl.bindBuffer(34962 /* ARRAY_BUFFER */, W.models[state.type].verticesBuffer = W.gl.createBuffer());\n      W.gl.bufferData(34962 /* ARRAY_BUFFER */, new Float32Array(W.models[state.type].vertices), 35044 /*STATIC_DRAW*/);\n\n      // Compute smooth normals if they don't exist yet (optional)\n      if(!W.models[state.type].normals && W.smooth) W.smooth(state);\n      \n      // Make a buffer from the smooth/custom normals (if any)\n      if(W.models[state.type].normals){\n        W.gl.bindBuffer(34962 /* ARRAY_BUFFER */, W.models[state.type].normalsBuffer = W.gl.createBuffer());\n        W.gl.bufferData(34962 /* ARRAY_BUFFER */, new Float32Array(W.models[state.type].normals.flat()), 35044 /*STATIC_DRAW*/); \n      }      \n    }\n    \n    // Build the model's uv buffer (if any) if it doesn't exist yet\n    if(W.models[state.type]?.uv && !W.models[state.type].uvBuffer){\n      W.gl.bindBuffer(34962 /* ARRAY_BUFFER */, W.models[state.type].uvBuffer = W.gl.createBuffer());\n      W.gl.bufferData(34962 /* ARRAY_BUFFER */, new Float32Array(W.models[state.type].uv), 35044 /*STATIC_DRAW*/); \n    }\n    \n    // Build the model's index buffer (if any) and smooth normals if they don't exist yet\n    if(W.models[state.type]?.indices && !W.models[state.type].indicesBuffer){\n      W.gl.bindBuffer(34963 /* ELEMENT_ARRAY_BUFFER */, W.models[state.type].indicesBuffer = W.gl.createBuffer());\n      W.gl.bufferData(34963 /* ELEMENT_ARRAY_BUFFER */, new Uint16Array(W.models[state.type].indices), 35044 /* STATIC_DRAW */);\n    }\n    \n    // Set mix to 1 if no texture is set\n    if(!state.t){\n      state.mix = 1;\n    }\n\n    // set mix to 0 by default if a texture is set\n    else if(state.t && !state.mix){\n      state.mix = 0;\n    }\n    \n    // Save new state\n    W.next[state.n] = state;\n  },\n  \n  // Draw the scene\n  draw: (now, dt, v, i, transparent = []) => {\n    \n    // Loop and measure time delta between frames\n    dt = now - W.lastFrame;\n    W.lastFrame = now;\n    requestAnimationFrame(W.draw);\n    \n    if(W.next.camera.g){\n      W.render(W.next[W.next.camera.g], dt, 1);\n    }\n    \n    // Create a matrix called v containing the current camera transformation\n    v = W.animation('camera');\n    \n    // If the camera is in a group\n    if(W.next?.camera?.g){\n\n      // premultiply the camera matrix by the group's model matrix.\n      v.preMultiplySelf(W.next[W.next.camera.g].M || W.next[W.next.camera.g].m);\n    }\n    \n    // Send it to the shaders as the Eye matrix\n    W.gl.uniformMatrix4fv(\n      W.gl.getUniformLocation(W.program, 'eye'),\n      false,\n      v.toFloat32Array()\n    );\n    \n    // Invert it to obtain the View matrix\n    v.invertSelf();\n\n    // Premultiply it with the Perspective matrix to obtain a Projection-View matrix\n    v.preMultiplySelf(W.projection);\n    \n    // send it to the shaders as the pv matrix\n    W.gl.uniformMatrix4fv(\n      W.gl.getUniformLocation(W.program, 'pv'),\n      false,\n      v.toFloat32Array()\n    );\n\n    // Clear canvas\n    W.gl.clear(16640 /* W.gl.COLOR_BUFFER_BIT | W.gl.DEPTH_BUFFER_BIT */);\n    \n    // Render all the objects in the scene\n    for(i in W.next){\n      \n      // Render the shapes with no texture and no transparency (RGB1 color)\n      if(!W.next[i].t && W.col(W.next[i].b)[3] == 1){\n        W.render(W.next[i], dt);\n      }\n      \n      // Add the objects with transparency (RGBA or texture) in an array\n      else {\n        transparent.push(W.next[i]);\n      }\n    }\n    \n    // Order transparent objects from back to front\n    transparent.sort((a, b) => {\n      // Return a value > 0 if b is closer to the camera than a\n      // Return a value < 0 if a is closer to the camera than b\n      return W.dist(b) - W.dist(a);\n    });\n\n    // Enable alpha blending\n    W.gl.enable(3042 /* BLEND */);\n\n    // Render all transparent objects\n    for(i of transparent){\n\n      // Disable depth buffer write if it's a plane or a billboard to allow transparent objects to intersect planes more easily\n      if([\"plane\",\"billboard\"].includes(i.type)) W.gl.depthMask(0);\n    \n      W.render(i, dt);\n      \n      W.gl.depthMask(1);\n    }\n    \n    // Disable alpha blending for the next frame\n    W.gl.disable(3042 /* BLEND */);\n    \n    // Transition the light's direction and send it to the shaders\n    W.gl.uniform3f(\n      W.gl.getUniformLocation(W.program, 'light'),\n      W.lerp('light','x'), W.lerp('light','y'), W.lerp('light','z')\n    );\n  },\n  \n  // Render an object\n  render: (object, dt, just_compute = ['camera','light','group'].includes(object.type), buffer) => {\n\n    // If the object has a texture\n    if(object.t) {\n\n      // Set the texture's target (2D or cubemap)\n      W.gl.bindTexture(3553 /* TEXTURE_2D */, W.textures[object.t.id]);\n\n      // Pass texture 0 to the sampler\n      W.gl.uniform1i(W.gl.getUniformLocation(W.program, 'sampler'), 0);\n    }\n\n    // If the object has an animation, increment its timer...\n    if(object.f < object.a) object.f += dt;\n    \n    // ...but don't let it go over the animation duration.\n    if(object.f > object.a) object.f = object.a;\n\n    // Compose the model matrix from lerped transformations\n    W.next[object.n].m = W.animation(object.n);\n\n    // If the object is in a group:\n    if(W.next[object.g]){\n\n      // premultiply the model matrix by the group's model matrix.\n      W.next[object.n].m.preMultiplySelf(W.next[object.g].M || W.next[object.g].m);\n    }\n\n    // send the model matrix to the vertex shader\n    W.gl.uniformMatrix4fv(\n      W.gl.getUniformLocation(W.program, 'm'),\n      false,\n      (W.next[object.n].M || W.next[object.n].m).toFloat32Array()\n    );\n    \n    // send the inverse of the model matrix to the vertex shader\n    W.gl.uniformMatrix4fv(\n      W.gl.getUniformLocation(W.program, 'im'),\n      false,\n      (new DOMMatrix(W.next[object.n].M || W.next[object.n].m)).invertSelf().toFloat32Array()\n    );\n    \n    // Don't render invisible items (camera, light, groups, camera's parent)\n    if(!just_compute){\n      \n      // Set up the position buffer\n      W.gl.bindBuffer(34962 /* ARRAY_BUFFER */, W.models[object.type].verticesBuffer);\n      W.gl.vertexAttribPointer(buffer = W.gl.getAttribLocation(W.program, 'pos'), 3, 5126 /* FLOAT */, false, 0, 0)\n      W.gl.enableVertexAttribArray(buffer);\n      \n      // Set up the texture coordinatess buffer (if any)\n      if(W.models[object.type].uvBuffer){\n        W.gl.bindBuffer(34962 /* ARRAY_BUFFER */, W.models[object.type].uvBuffer);\n        W.gl.vertexAttribPointer(buffer = W.gl.getAttribLocation(W.program, 'uv'), 2, 5126 /* FLOAT */, false, 0, 0);\n        W.gl.enableVertexAttribArray(buffer);\n      }\n      \n      // Set the normals buffer\n      if((object.s || W.models[object.type].customNormals) && W.models[object.type].normalsBuffer){\n        W.gl.bindBuffer(34962 /* ARRAY_BUFFER */, W.models[object.type].normalsBuffer);\n        W.gl.vertexAttribPointer(buffer = W.gl.getAttribLocation(W.program, 'normal'), 3, 5126 /* FLOAT */, false, 0, 0);\n        W.gl.enableVertexAttribArray(buffer);\n      }\n      \n      // Other options: [smooth, shading enabled, ambient light, texture/color mix]\n      W.gl.uniform4f(\n\n        W.gl.getUniformLocation(W.program, 'o'), \n        \n        // Enable smooth shading if \"s\" is true\n        object.s,\n        \n        // Enable shading if in TRIANGLE* mode and object.ns disabled\n        ((object.mode > 3) || (W.gl[object.mode] > 3)) && !object.ns ? 1 : 0,\n        \n        // Ambient light\n        W.ambientLight || 0.2,\n        \n        // Texture/color mix (if a texture is present. 0: fully textured, 1: fully colored)\n        object.mix\n      );\n      \n      // If the object is a billboard: send a specific uniform to the shaders:\n      // [width, height, isBillboard = 1, 0]\n      W.gl.uniform4f(\n        W.gl.getUniformLocation(W.program, 'bb'),\n        \n        // Size\n        object.w,\n        object.h,               \n\n        // is a billboard\n        object.type == 'billboard',\n        \n        // Reserved\n        0\n      );\n      \n      // Set up the indices (if any)\n      if(W.models[object.type].indicesBuffer){\n        W.gl.bindBuffer(34963 /* ELEMENT_ARRAY_BUFFER */, W.models[object.type].indicesBuffer);\n      }\n        \n      // Set the object's color\n      W.gl.vertexAttrib4fv(\n        W.gl.getAttribLocation(W.program, 'col'),\n        W.col(object.b)\n      );\n\n      // Draw\n      // Both indexed and unindexed models are supported.\n      // You can keep the \"drawElements\" only if all your models are indexed.\n      if(W.models[object.type].indicesBuffer){\n        W.gl.drawElements(+object.mode || W.gl[object.mode], W.models[object.type].indices.length, 5123 /* UNSIGNED_SHORT */, 0);\n      }\n      else {\n        W.gl.drawArrays(+object.mode || W.gl[object.mode], 0, W.models[object.type].vertices.length / 3);\n      }\n    }\n  },\n  \n  // Helpers\n  // -------\n  \n  // Interpolate a property between two values\n  lerp: (item, property) => \n    W.next[item]?.a\n    ? W.current[item][property] + (W.next[item][property] -  W.current[item][property]) * (W.next[item].f / W.next[item].a)\n    : W.next[item][property],\n  \n  // Transition an item\n  animation: (item, m = new DOMMatrix) =>\n    W.next[item]\n    ? m\n      .translateSelf(W.lerp(item, 'x'), W.lerp(item, 'y'), W.lerp(item, 'z'))\n      .rotateSelf(W.lerp(item, 'rx'),W.lerp(item, 'ry'),W.lerp(item, 'rz'))\n      .scaleSelf(W.lerp(item, 'w'),W.lerp(item, 'h'),W.lerp(item, 'd'))\n    : m,\n    \n  // Compute the distance squared between two objects (useful for sorting transparent items)\n  dist: (a, b = W.next.camera) => a?.m && b?.m ? (b.m.m41 - a.m.m41)**2 + (b.m.m42 - a.m.m42)**2 + (b.m.m43 - a.m.m43)**2 : 0,\n  \n  // Set the ambient light level (0 to 1)\n  ambient: a => W.ambientLight = a,\n  \n  // Convert an rgb/rgba hex string into a vec4\n  col: c => [...c.replace(\"#\",\"\").match(c.length < 5 ? /./g : /../g).map(a => ('0x' + a) / (c.length < 5 ? 15 : 255)), 1], // rgb / rgba / rrggbb / rrggbbaa\n  \n  // Add a new 3D model\n  add: (name, objects) => {\n    W.models[name] = objects;\n    if(objects.normals){\n      W.models[name].customNormals = 1;\n    }\n    W[name] = settings => W.setState(settings, name);\n  },\n  \n  // Built-in objects\n  // ----------------\n  \n  group: t => W.setState(t, 'group'),\n  \n  move: (t, delay) => setTimeout(()=>{ W.setState(t) }, delay || 1),\n  \n  delete: (t, delay) => setTimeout(()=>{ delete W.next[t] }, delay || 1),\n  \n  camera: (t, delay) => setTimeout(()=>{ W.setState(t, t.n = 'camera') }, delay || 1),\n    \n  light: (t, delay) => delay ? setTimeout(()=>{ W.setState(t, t.n = 'light') }, delay) : W.setState(t, t.n = 'light'),\n};\n\n// Smooth normals computation plug-in (optional)\n// =============================================\n\nW.smooth = (state, dict = {}, vertices = [], iterate, iterateSwitch, i, j, A, B, C, Ai, Bi, Ci, normal) => {\n  \n  // Prepare smooth normals array\n  W.models[state.type].normals = [];\n  \n  // Fill vertices array: [[x,y,z],[x,y,z]...]\n  for(i = 0; i < W.models[state.type].vertices.length; i+=3){\n    vertices.push(W.models[state.type].vertices.slice(i, i+3));\n  }\n  \n  // Iterator\n  if(iterate = W.models[state.type].indices) iterateSwitch = 1;\n  else iterate = vertices, iterateSwitch = 0;\n    \n  // Iterate twice on the vertices\n  // - 1st pass: compute normals of each triangle and accumulate them for each vertex\n  // - 2nd pass: save the final smooth normals values\n  for(i = 0; i < iterate.length * 2; i+=3){\n    j = i % iterate.length;\n    A = vertices[Ai = iterateSwitch ? W.models[state.type].indices[j] : j];\n    B = vertices[Bi = iterateSwitch ? W.models[state.type].indices[j+1] : j+1];\n    C = vertices[Ci = iterateSwitch ? W.models[state.type].indices[j+2] : j+2];\n    AB = [B[0] - A[0], B[1] - A[1], B[2] - A[2]];\n    BC = [C[0] - B[0], C[1] - B[1], C[2] - B[2]];\n    normal = i > j ? [0,0,0] : [AB[1] * BC[2] - AB[2] * BC[1], AB[2] * BC[0] - AB[0] * BC[2], AB[0] * BC[1] - AB[1] * BC[0]];\n    dict[A[0]+\"_\"+A[1]+\"_\"+A[2]] ||= [0,0,0];\n    dict[B[0]+\"_\"+B[1]+\"_\"+B[2]] ||= [0,0,0];\n    dict[C[0]+\"_\"+C[1]+\"_\"+C[2]] ||= [0,0,0];\n    W.models[state.type].normals[Ai] = dict[A[0]+\"_\"+A[1]+\"_\"+A[2]] = dict[A[0]+\"_\"+A[1]+\"_\"+A[2]].map((a,i) => a + normal[i]);\n    W.models[state.type].normals[Bi] = dict[B[0]+\"_\"+B[1]+\"_\"+B[2]] = dict[B[0]+\"_\"+B[1]+\"_\"+B[2]].map((a,i) => a + normal[i]);\n    W.models[state.type].normals[Ci] = dict[C[0]+\"_\"+C[1]+\"_\"+C[2]] = dict[C[0]+\"_\"+C[1]+\"_\"+C[2]].map((a,i) => a + normal[i]);\n  }\n}\n\n\n// 3D models\n// =========\n\n// Each model has:\n// - A vertices array [x, y, z, x, y, z...]\n// - A uv array [u, v, u, v...] (optional. Allows texturing... if absent: RGBA coloring only)\n// - An indices array (optional, enables drawElements rendering... if absent: drawArrays is ised)\n// - A normals array [nx, ny, nz, nx, ny, nz...] (optional... if absent: hard/smooth normals are computed by the framework when they're needed)\n// The buffers (vertices, uv, indices) are built automatically when they're needed\n// All models are optional, you can remove the ones you don't need to save space\n// Custom models can be added from the same model, an OBJ importer is available on https://xem.github.io/WebGLFramework/obj2js/\n\n// Plane / billboard\n//\n//  v1------v0\n//  |       |\n//  |   x   |\n//  |       |\n//  v2------v3\n\nW.add(\"plane\", {\n  vertices: [\n    .5, .5, 0,    -.5, .5, 0,   -.5,-.5, 0,\n    .5, .5, 0,    -.5,-.5, 0,    .5,-.5, 0\n  ],\n  \n  uv: [\n    1, 1,     0, 1,    0, 0,\n    1, 1,     0, 0,    1, 0\n  ],\n});\nW.add(\"billboard\", W.models.plane);\n\n// Cube\n//\n//    v6----- v5\n//   /|      /|\n//  v1------v0|\n//  | |  x  | |\n//  | |v7---|-|v4\n//  |/      |/\n//  v2------v3\n\nW.add(\"cube\", {\n  vertices: [\n    .5, .5, .5,  -.5, .5, .5,  -.5,-.5, .5, // front\n    .5, .5, .5,  -.5,-.5, .5,   .5,-.5, .5,\n    .5, .5,-.5,   .5, .5, .5,   .5,-.5, .5, // right\n    .5, .5,-.5,   .5,-.5, .5,   .5,-.5,-.5,\n    .5, .5,-.5,  -.5, .5,-.5,  -.5, .5, .5, // up\n    .5, .5,-.5,  -.5, .5, .5,   .5, .5, .5,\n   -.5, .5, .5,  -.5, .5,-.5,  -.5,-.5,-.5, // left\n   -.5, .5, .5,  -.5,-.5,-.5,  -.5,-.5, .5,\n   -.5, .5,-.5,   .5, .5,-.5,   .5,-.5,-.5, // back\n   -.5, .5,-.5,   .5,-.5,-.5,  -.5,-.5,-.5,\n    .5,-.5, .5,  -.5,-.5, .5,  -.5,-.5,-.5, // down\n    .5,-.5, .5,  -.5,-.5,-.5,   .5,-.5,-.5\n  ],\n  uv: [\n    1, 1,   0, 1,   0, 0, // front\n    1, 1,   0, 0,   1, 0,            \n    1, 1,   0, 1,   0, 0, // right\n    1, 1,   0, 0,   1, 0, \n    1, 1,   0, 1,   0, 0, // up\n    1, 1,   0, 0,   1, 0,\n    1, 1,   0, 1,   0, 0, // left\n    1, 1,   0, 0,   1, 0,\n    1, 1,   0, 1,   0, 0, // back\n    1, 1,   0, 0,   1, 0,\n    1, 1,   0, 1,   0, 0, // down\n    1, 1,   0, 0,   1, 0\n  ]\n});\nW.cube = settings => W.setState(settings, 'cube');\n\n// Pyramid\n//\n//      ^\n//     /\\\\\n//    // \\ \\\n//   /+-x-\\-+\n//  //     \\/\n//  +------+\n\nW.add(\"pyramid\", {\n  vertices: [\n    -.5,-.5, .5,   .5,-.5, .5,    0, .5,  0,  // Front\n     .5,-.5, .5,   .5,-.5,-.5,    0, .5,  0,  // Right\n     .5,-.5,-.5,  -.5,-.5,-.5,    0, .5,  0,  // Back\n    -.5,-.5,-.5,  -.5,-.5, .5,    0, .5,  0,  // Left\n     .5,-.5, .5,  -.5,-.5, .5,  -.5,-.5,-.5, // down\n     .5,-.5, .5,  -.5,-.5,-.5,   .5,-.5,-.5\n  ],\n  uv: [\n    0, 0,   1, 0,  .5, 1,  // Front\n    0, 0,   1, 0,  .5, 1,  // Right\n    0, 0,   1, 0,  .5, 1,  // Back\n    0, 0,   1, 0,  .5, 1,  // Left\n    1, 1,   0, 1,   0, 0,  // down\n    1, 1,   0, 0,   1, 0\n  ]\n});\n\n// Sphere\n//\n//          =   =\n//       =         =\n//      =           =\n//     =      x      =\n//      =           =\n//       =         =\n//          =   =\n\n((i, ai, j, aj, p1, p2, vertices = [], indices = [], uv = [], precision = 20) => {\n  for(j = 0; j <= precision; j++){\n    aj = j * Math.PI / precision;\n    for(i = 0; i <= precision; i++){\n      ai = i * 2 * Math.PI / precision;\n      vertices.push(+(Math.sin(ai) * Math.sin(aj)/2).toFixed(6), +(Math.cos(aj)/2).toFixed(6), +(Math.cos(ai) * Math.sin(aj)/2).toFixed(6));\n      uv.push((Math.sin((i/precision))) * 3.5, -Math.sin(j/precision))\n      if(i < precision && j < precision){\n        indices.push(p1 = j * (precision + 1) + i, p2 = p1 + (precision + 1), (p1 + 1), (p1 + 1), p2, (p2 + 1));\n      }\n    }\n  }\n  W.add(\"sphere\", {vertices, uv, indices});\n})();"
  },
  {
    "path": "w.min.full.js",
    "content": "// This file is here exclusively to preserve old links pointing to it.\n// For any future use, please use \"xem.github.io/W/src/W.js\", or one of the dist versions.\ndebug=0,W={models:{},reset:e=>{W.canvas=e,W.objs=0,W.current={},W.next={},W.textures={},W.gl=e.getContext(\"webgl2\"),W.gl.blendFunc(770,771),W.gl.activeTexture(33984),W.program=W.gl.createProgram(),W.gl.enable(2884),W.gl.shaderSource(t=W.gl.createShader(35633),\"#version 300 es\\nprecision highp float;in vec4 pos,col,uv,normal;uniform mat4 pv,eye,m,im;uniform vec4 bb;out vec4 v_pos,v_col,v_uv,v_normal;void main(){gl_Position=pv*(v_pos=bb.z>0.?m[3]+eye*(pos*bb):m*pos);v_col=col;v_uv=uv;v_normal=transpose(inverse(m))*normal;}\"),W.gl.compileShader(t),W.gl.attachShader(W.program,t),W.gl.shaderSource(t=W.gl.createShader(35632),\"#version 300 es\\nprecision highp float;in vec4 v_pos,v_col,v_uv,v_normal;uniform vec3 light;uniform vec4 o;uniform sampler2D sampler;out vec4 c;void main(){c=mix(texture(sampler,v_uv.xy),v_col,o[3]);if(o[1]>0.){c=vec4(c.rgb*(dot(light,-normalize(o[0]>0.?vec3(v_normal.xyz):cross(dFdx(v_pos.xyz),dFdy(v_pos.xyz))))+o[2]),c.a);}}\"),W.gl.compileShader(t),W.gl.attachShader(W.program,t),W.gl.linkProgram(W.program),W.gl.useProgram(W.program),W.gl.clearColor(1,1,1,1),W.clearColor=e=>W.gl.clearColor(...W.col(e)),W.clearColor(\"fff\"),W.gl.enable(2929),W.light({y:-1}),W.camera({fov:30}),setTimeout(W.draw,16)},setState:(e,t,r,o,a=[],n,l,i,s,m,g,d,c)=>{e.n||=\"o\"+W.objs++,e.size&&(e.w=e.h=e.d=e.size),e.t&&e.t.width&&!W.textures[e.t.id]&&(r=W.gl.createTexture(),W.gl.pixelStorei(37441,!0),W.gl.bindTexture(3553,r),W.gl.pixelStorei(37440,1),W.gl.texImage2D(3553,0,6408,6408,5121,e.t),W.gl.generateMipmap(3553),W.textures[e.t.id]=r),e.fov&&(W.projection=new 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